prompt
large_stringlengths 70
991k
| completion
large_stringlengths 0
1.02k
|
|---|---|
<|file_name|>test.rs<|end_file_name|><｜fim▁begin｜>#[macro_use] extern crate cfor;
#[test]
fn smoketest() {
let mut tick = 0;
cfor!{let mut i = 1; i <= 0b1000_0000; i *= 2; {
tick += 1;
}}
assert_eq!(tick, 8);
tick = 0;
cfor!{let (mut a, mut b) = (0, 0); a + b < 20; { a += 1; b += 1; }; {
tick += 1;
}}
assert_eq!(tick, 10);
}
<｜fim▁hole｜>#[should_panic]
fn continue_updates() {
cfor!(let i = 0; i < 10; panic!(); {
// we *should* hit the step expression.
continue
})
}
#[test]
fn missing_parts() {
let mut inside = false;
cfor!{;; (); {
inside = true;
break
}}
assert!(inside);
inside = false;
cfor!{();; (); {
inside = true;
break
}}
assert!(inside);
cfor!{; false; ; {
panic!()
}}
}
#[test]
fn multi_dec() {
cfor!(let x = true, let y = x, let z = false; false;; {
assert!(x);
assert_eq!(x, y);
assert!(!z);
});
}
#[test]
fn multi_step() {
let mut x = 0;
let mut y = 0;
cfor!(; x < 10 && y < 100; x += 1, y += 10; {});
assert_eq!(x, 10);
assert_eq!(y, 100);
}<｜fim▁end｜> | #[test] |
<|file_name|>_ccrfg_detect_alretInfo.hpp<|end_file_name|><｜fim▁begin｜>// This file auto generated by plugin for ida pro. Generated code only for x64. Please, dont change manually
#pragma once
#include <common/common.h>
#include <_ccrfg_detect_alret.hpp><｜fim▁hole｜>
START_ATF_NAMESPACE
namespace Info
{
using _ccrfg_detect_alretsize2_ptr = int (WINAPIV*)(struct _ccrfg_detect_alret*);
using _ccrfg_detect_alretsize2_clbk = int (WINAPIV*)(struct _ccrfg_detect_alret*, _ccrfg_detect_alretsize2_ptr);
}; // end namespace Info
END_ATF_NAMESPACE<｜fim▁end｜> | |
<|file_name|>CT_ExternalRow.go<|end_file_name|><｜fim▁begin｜>// Copyright 2017 Baliance. All rights reserved.
//
// DO NOT EDIT: generated by gooxml ECMA-376 generator
//
// Use of this source code is governed by the terms of the Affero GNU General
// Public License version 3.0 as published by the Free Software Foundation and
// appearing in the file LICENSE included in the packaging of this file. A
// commercial license can be purchased by contacting [email protected].
package sml
import (
"encoding/xml"
"fmt"
"log"
"strconv"
)
type CT_ExternalRow struct {
// Row
RAttr uint32
// External Cell Data
Cell []*CT_ExternalCell
}
func NewCT_ExternalRow() *CT_ExternalRow {
ret := &CT_ExternalRow{}
return ret
}
func (m *CT_ExternalRow) MarshalXML(e *xml.Encoder, start xml.StartElement) error {
start.Attr = append(start.Attr, xml.Attr{Name: xml.Name{Local: "r"},
Value: fmt.Sprintf("%v", m.RAttr)})
e.EncodeToken(start)
if m.Cell != nil {
secell := xml.StartElement{Name: xml.Name{Local: "ma:cell"}}
for _, c := range m.Cell {
e.EncodeElement(c, secell)
}
}
e.EncodeToken(xml.EndElement{Name: start.Name})
return nil
}
func (m *CT_ExternalRow) UnmarshalXML(d *xml.Decoder, start xml.StartElement) error {
// initialize to default<｜fim▁hole｜> if err != nil {
return err
}
m.RAttr = uint32(parsed)
}
}
lCT_ExternalRow:
for {
tok, err := d.Token()
if err != nil {
return err
}
switch el := tok.(type) {
case xml.StartElement:
switch el.Name {
case xml.Name{Space: "http://schemas.openxmlformats.org/spreadsheetml/2006/main", Local: "cell"}:
tmp := NewCT_ExternalCell()
if err := d.DecodeElement(tmp, &el); err != nil {
return err
}
m.Cell = append(m.Cell, tmp)
default:
log.Printf("skipping unsupported element on CT_ExternalRow %v", el.Name)
if err := d.Skip(); err != nil {
return err
}
}
case xml.EndElement:
break lCT_ExternalRow
case xml.CharData:
}
}
return nil
}
// Validate validates the CT_ExternalRow and its children
func (m *CT_ExternalRow) Validate() error {
return m.ValidateWithPath("CT_ExternalRow")
}
// ValidateWithPath validates the CT_ExternalRow and its children, prefixing error messages with path
func (m *CT_ExternalRow) ValidateWithPath(path string) error {
for i, v := range m.Cell {
if err := v.ValidateWithPath(fmt.Sprintf("%s/Cell[%d]", path, i)); err != nil {
return err
}
}
return nil
}<｜fim▁end｜> | for _, attr := range start.Attr {
if attr.Name.Local == "r" {
parsed, err := strconv.ParseUint(attr.Value, 10, 32) |
<|file_name|>DaneWejsciowe.java<|end_file_name|><｜fim▁begin｜>package newpackage;
public class DaneWejsciowe {
float wartosc;
String argument;
public DaneWejsciowe( String argument,float wartosc) {
this.wartosc = wartosc;<｜fim▁hole｜> this.argument = argument;
}
}<｜fim▁end｜> | |
<|file_name|>RabbitDirectChecker.java<|end_file_name|><｜fim▁begin｜>package sample.rabbitmq;
import static sample.rabbitmq.annotation.RabbitDirectRouting.*;
import java.util.Arrays;
import java.util.concurrent.*;
import org.springframework.amqp.rabbit.annotation.*;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.amqp.rabbit.listener.ListenerContainerConsumerFailedEvent;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.event.EventListener;
import org.springframework.stereotype.Component;
import lombok.extern.slf4j.Slf4j;
import sample.model.News;
import sample.rabbitmq.annotation.RabbitDirectRouting;
<｜fim▁hole｜> * <p>Rabbit の依存を避けてベタに定義したい場合は Queue / Exchange をコンテナに登録し、
* 受信コンポーネントを SimpleMessageListenerContainer で構築してください。
*/
@Slf4j
@Component
public class RabbitDirectChecker {
@Autowired
private NewsSender newsSender;
@Autowired
private NewsReceiver newsReceiver;
public void checkDirect() {
log.info("## RabbitMQ DirectCheck ###");
log.info("### send");
newsSender.send(new News(1L, "subject", "body"));
log.info("### wait...");
newsReceiver.waitMessage();
log.info("### finish");
}
/**
* コンシューマ定義。
* <p>RabbitListener と admin 指定を利用する事で動的に Exchange と Queue の定義 ( Binding 含 ) を行っている。
* 1-n の時は使い捨ての Queue を前提にして名称は未指定で。
* <pre>
* [NewsRoutingKey] -> -1- [NewsQueue] -1-> Queue
* </pre>
* <p>アノテーションを別途切り出す例 ( RabbitDirectRouting )。逆に分かりにくいかも、、
*/
@Component
@RabbitDirectRouting
static class NewsReceiver {
private final CountDownLatch latch = new CountDownLatch(1);
@RabbitHandler
public void receiveMessage(News... news) {
log.info("receive message.");
Arrays.stream(news)
.map(News::toString)
.forEach(log::info);
latch.countDown();
}
public void waitMessage() {
try {
latch.await(5000, TimeUnit.SECONDS);
} catch (InterruptedException e) {
}
}
}
/** <pre>Message -> [NewsRoutingKey]</pre> */
@Component
static class NewsSender {
@Autowired
RabbitTemplate tmpl;
public NewsSender send(News... news) {
tmpl.convertAndSend(NewsDirect, NewsRoutingKey, news);
return this;
}
}
@EventListener
void handleContextRefresh(ListenerContainerConsumerFailedEvent event) {
log.error("起動失敗事由: " + event.getReason());
}
}<｜fim▁end｜> | /**
* RabbitMQ の Exchange#Direct ( 1-1 ) 接続サンプル。
* <p>Sender -> Receiver
* <p>利用する Exchange / Queue は RabbitListener を用いて自動的に作成しています。 |
<|file_name|>parse-fail.rs<|end_file_name|><｜fim▁begin｜>// Copyright 2012 The Rust Project Developers. See the COPYRIGHT<｜fim▁hole｜>// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
#[allow(unreachable_code)];
// ignore-test #12920
fn dont_call_me() { fail!(); println!("{}", 1); }
pub fn main() { }<｜fim▁end｜> | // file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
// |
<|file_name|>gitea-format-imports.go<|end_file_name|><｜fim▁begin｜>// Copyright 2021 The Gitea Authors. All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
//go:build ignore
// +build ignore
package main
import (
"log"
"os"
"code.gitea.io/gitea/build/codeformat"
)
func main() {
if len(os.Args) <= 1 {
log.Fatalf("Usage: gitea-format-imports [files...]")
}
for _, file := range os.Args[1:] {
if err := codeformat.FormatGoImports(file); err != nil {
log.Fatalf("can not format file %s, err=%v", file, err)
}
}<｜fim▁hole｜><｜fim▁end｜> | } |
<|file_name|>alert.rs<|end_file_name|><｜fim▁begin｜>use util::{ReadExt, WriteExt};
use tls_result::{TlsResult, TlsError, TlsErrorKind};
use tls_item::TlsItem;
// we treat every alert as fatal.
tls_enum!(u8, enum AlertLevel {
warning(1),
fatal(2)
});
// A.3. Alert Messages
// http://www.iana.org/assignments/tls-parameters/tls-parameters.xhtml
tls_enum!(u8, #[derive(Debug)] enum AlertDescription {
close_notify(0),
unexpected_message(10),
bad_record_mac(20),
decryption_failed_RESERVED(21),
record_overflow(22),
decompression_failure(30),
handshake_failure(40),
no_certificate_RESERVED(41),
bad_certificate(42),
unsupported_certificate(43),
certificate_revoked(44),
certificate_expired(45),
certificate_unknown(46),
illegal_parameter(47),
unknown_ca(48),
access_denied(49),
decode_error(50),
decrypt_error(51),
export_restriction_RESERVED(60),
protocol_version(70),
insufficient_security(71),
internal_error(80),
user_canceled(90),
no_renegotiation(100),
unsupported_extension(110)
<｜fim▁hole｜> // unrecognized_name(112),
// bad_certificate_status_response(113),
// bad_certificate_hash_value(114),
});
impl AlertDescription {
fn from_err(kind: TlsErrorKind) -> AlertDescription {
match kind {
TlsErrorKind::UnexpectedMessage => AlertDescription::unexpected_message,
TlsErrorKind::BadRecordMac => AlertDescription::bad_record_mac,
TlsErrorKind::RecordOverflow => AlertDescription::record_overflow,
TlsErrorKind::IllegalParameter => AlertDescription::illegal_parameter,
TlsErrorKind::DecodeError => AlertDescription::decode_error,
TlsErrorKind::DecryptError => AlertDescription::decrypt_error,
TlsErrorKind::InternalError => AlertDescription::internal_error,
// FIXME: we probably can't even send alert?
TlsErrorKind::IoFailure => AlertDescription::internal_error,
TlsErrorKind::AlertReceived => AlertDescription::close_notify,
}
}
}
tls_struct!(struct Alert {
level: AlertLevel,
description: AlertDescription
});
impl Alert {
pub fn new(level: AlertLevel, desc: AlertDescription) -> TlsResult<Alert> {
// TODO filter out some rfc-invalid alerts
Ok(Alert {
level: level,
description: desc,
})
}
pub fn from_tls_err(err: &TlsError) -> Alert {
Alert {
level: AlertLevel::fatal,
description: AlertDescription::from_err(err.kind),
}
}
}<｜fim▁end｜> | // RFC 6066
// certificate_unobtainable(111), |
<|file_name|>deployments.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜># Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from sqlalchemy import desc
from webob import exc
from murano.api.v1 import request_statistics
from murano.common import policy
from murano.common import utils
from murano.db import models
from murano.db import session as db_session
from murano.openstack.common.gettextutils import _ # noqa
from murano.openstack.common import log as logging
from murano.openstack.common import wsgi
LOG = logging.getLogger(__name__)
API_NAME = 'Deployments'
class Controller(object):
@request_statistics.stats_count(API_NAME, 'Index')
def index(self, request, environment_id):
target = {"environment_id": environment_id}
policy.check("list_deployments", request.context, target)
unit = db_session.get_session()
verify_and_get_env(unit, environment_id, request)
query = unit.query(models.Deployment) \
.filter_by(environment_id=environment_id) \
.order_by(desc(models.Deployment.created))
result = query.all()
deployments = [set_dep_state(deployment, unit).to_dict() for deployment
in result]
return {'deployments': deployments}
@request_statistics.stats_count(API_NAME, 'Statuses')
def statuses(self, request, environment_id, deployment_id):
target = {"environment_id": environment_id,
"deployment_id": deployment_id}
policy.check("statuses_deployments", request.context, target)
unit = db_session.get_session()
query = unit.query(models.Status) \
.filter_by(deployment_id=deployment_id) \
.order_by(models.Status.created)
deployment = verify_and_get_deployment(unit, environment_id,
deployment_id)
if 'service_id' in request.GET:
service_id_set = set(request.GET.getall('service_id'))
environment = deployment.description
entity_ids = []
for service in environment.get('services', []):
if service['?']['id'] in service_id_set:
id_map = utils.build_entity_map(service)
entity_ids = entity_ids + id_map.keys()
if entity_ids:
query = query.filter(models.Status.entity_id.in_(entity_ids))
else:
return {'reports': []}
result = query.all()
return {'reports': [status.to_dict() for status in result]}
def verify_and_get_env(db_session, environment_id, request):
environment = db_session.query(models.Environment).get(environment_id)
if not environment:
LOG.info(_('Environment with id {0} not found').format(environment_id))
raise exc.HTTPNotFound
if environment.tenant_id != request.context.tenant:
LOG.info(_('User is not authorized to access this tenant resources.'))
raise exc.HTTPUnauthorized
return environment
def _patch_description(description):
description['services'] = description.get('applications', [])
del description['applications']
def verify_and_get_deployment(db_session, environment_id, deployment_id):
deployment = db_session.query(models.Deployment).get(deployment_id)
if not deployment:
LOG.info(_('Deployment with id {0} not found').format(deployment_id))
raise exc.HTTPNotFound
if deployment.environment_id != environment_id:
LOG.info(_('Deployment with id {0} not found'
' in environment {1}').format(deployment_id,
environment_id))
raise exc.HTTPBadRequest
_patch_description(deployment.description)
return deployment
def create_resource():
return wsgi.Resource(Controller())
def set_dep_state(deployment, unit):
num_errors = unit.query(models.Status).filter_by(
level='error',
deployment_id=deployment.id).count()
num_warnings = unit.query(models.Status).filter_by(
level='warning',
deployment_id=deployment.id).count()
if deployment.finished:
if num_errors:
deployment.state = 'completed_w_errors'
elif num_warnings:
deployment.state = 'completed_w_warnings'
else:
deployment.state = 'success'
else:
if num_errors:
deployment.state = 'running_w_errors'
elif num_warnings:
deployment.state = 'running_w_warnings'
else:
deployment.state = 'running'
_patch_description(deployment.description)
return deployment<｜fim▁end｜> | # Copyright (c) 2013 Mirantis, Inc.
# |
<|file_name|>base.py<|end_file_name|><｜fim▁begin｜>"""
Base test case for the course API views.
"""
from django.core.urlresolvers import reverse
from rest_framework.test import APITestCase
from lms.djangoapps.courseware.tests.factories import StaffFactory
from student.tests.factories import UserFactory
from xmodule.modulestore.tests.django_utils import TEST_DATA_SPLIT_MODULESTORE, SharedModuleStoreTestCase
from xmodule.modulestore.tests.factories import CourseFactory, ItemFactory
# pylint: disable=unused-variable
class BaseCourseViewTest(SharedModuleStoreTestCase, APITestCase):
"""
Base test class for course data views.
"""
MODULESTORE = TEST_DATA_SPLIT_MODULESTORE
view_name = None # The name of the view to use in reverse() call in self.get_url()
@classmethod
def setUpClass(cls):
super(BaseCourseViewTest, cls).setUpClass()
cls.course = CourseFactory.create(display_name='test course', run="Testing_course")
cls.course_key = cls.course.id
cls.password = 'test'
cls.student = UserFactory(username='dummy', password=cls.password)
cls.staff = StaffFactory(course_key=cls.course.id, password=cls.password)
cls.initialize_course(cls.course)
@classmethod
def initialize_course(cls, course):
"""
Sets up the structure of the test course.
"""<｜fim▁hole｜> course.self_paced = True
cls.store.update_item(course, cls.staff.id)
cls.section = ItemFactory.create(
parent_location=course.location,
category="chapter",
)
cls.subsection1 = ItemFactory.create(
parent_location=cls.section.location,
category="sequential",
)
unit1 = ItemFactory.create(
parent_location=cls.subsection1.location,
category="vertical",
)
ItemFactory.create(
parent_location=unit1.location,
category="video",
)
ItemFactory.create(
parent_location=unit1.location,
category="problem",
)
cls.subsection2 = ItemFactory.create(
parent_location=cls.section.location,
category="sequential",
)
unit2 = ItemFactory.create(
parent_location=cls.subsection2.location,
category="vertical",
)
unit3 = ItemFactory.create(
parent_location=cls.subsection2.location,
category="vertical",
)
ItemFactory.create(
parent_location=unit3.location,
category="video",
)
ItemFactory.create(
parent_location=unit3.location,
category="video",
)
def get_url(self, course_id):
"""
Helper function to create the url
"""
return reverse(
self.view_name,
kwargs={
'course_id': course_id
}
)<｜fim▁end｜> | |
<|file_name|>client.go<|end_file_name|><｜fim▁begin｜>// Copyright 2017 Mattias Pernhult. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package goiaf
// TODO: add functionality for cache headers
import (
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
"net/url"
"strconv"
"strings"
"time"
)
const (
baseURL string = "http://www.anapioficeandfire.com/api"
booksEndpoint string = baseURL + "/books"
charactersEndpoint string = baseURL + "/characters"
housesEndpoint string = baseURL + "/houses"
)
// Client interface which reflects the endpoint for the api.
// All endpoints will be exposed with this client.
type Client interface {
// Returns all books from the api. There is also the possibility
// to include filter parameters in your request. The possible filter
// parameters are exposed by the BookRequest interface.
Books(BookRequest) (BookResponse, error)
// Returns a specific book based on the given id.
Book(int) (Book, error)
// Returns all characters from the api. There is also the possibility
// to include filter parameters in your request. The possible filter
// parameters are exposed by the CharacterRequest interface.
Characters(CharacterRequest) (CharacterResponse, error)
// Return a specific character based on the given id.
Character(int) (Character, error)
// Returns all houses from the api. There is also the possibility
// to include filter parameters in your request. The possible filter
// parameters are exposed by the HouseRequest interface.
Houses(HouseRequest) (HouseResponse, error)
// Return a specific house based on the given id.
House(int) (House, error)
}
type client struct {
httpClient http.Client
}
// NewClient returns a ice and fire client. All endpoints from the api
// are exposed through this client.
func NewClient() Client {
return &client{
httpClient: http.Client{
Timeout: time.Second * 15,
},
}
}
func (c *client) Books(request BookRequest) (BookResponse, error) {
booksResponse := booksResponse{}
err := c.get(booksEndpoint, request, &booksResponse)
if err != nil {
return BookResponse{}, err
}
response := BookResponse{
Data: booksResponse.Convert(),
links: booksResponse.links,
}
return response, nil
}
func (c *client) Book(id int) (Book, error) {
endpoint := fmt.Sprintf("%s/%d", booksEndpoint, id)
book := book{}
err := c.get(endpoint, nil, &book)
if err != nil {
return Book{}, err
}
return book.Convert(), nil
}
func (c *client) Characters(request CharacterRequest) (CharacterResponse, error) {
charactersResponse := charactersResponse{}
err := c.get(charactersEndpoint, request, &charactersResponse)
if err != nil {
return CharacterResponse{}, err
}
response := CharacterResponse{
Data: charactersResponse.Convert(),
links: charactersResponse.links,
}
return response, nil
}
func (c *client) Character(id int) (Character, error) {
endpoint := fmt.Sprintf("%s/%d", charactersEndpoint, id)
character := character{}
err := c.get(endpoint, nil, &character)
if err != nil {
return Character{}, err
}
return character.Convert(), nil
}
func (c *client) Houses(request HouseRequest) (HouseResponse, error) {
housesResponse := housesResponse{}
err := c.get(housesEndpoint, request, &housesResponse)
if err != nil {
return HouseResponse{}, err
}
response := HouseResponse{
Data: housesResponse.Convert(),
links: housesResponse.links,
}
return response, nil
}
func (c *client) House(id int) (House, error) {
endpoint := fmt.Sprintf("%s/%d", housesEndpoint, id)
house := house{}
err := c.get(endpoint, nil, &house)
if err != nil {
return House{}, err
}
return house.Convert(), nil
}
func (c *client) get(endpoint string, converter ParamConverter, data interface{}) error {
if converter != nil {
endpoint = fmt.Sprintf("%s?%s", endpoint, converter.Convert().Encode())
}
req, err := http.NewRequest("GET", endpoint, nil)<｜fim▁hole｜>
resp, err := c.httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode == http.StatusNotFound {
return ErrResourceNotFound
}
if t, ok := data.(linker); ok {
t.Link(c.getLinks(resp.Header.Get("link")))
}
b, err := ioutil.ReadAll(resp.Body)
if err != nil {
return err
}
return json.Unmarshal(b, data)
}
func (c *client) getLinks(linkHeader string) map[string]string {
result := map[string]string{}
if linkHeader == "" {
return result
}
links := strings.Split(linkHeader, ",")
for _, link := range links {
link = strings.TrimSpace(link)
linkPair := strings.Split(link, ";")
urlStr := strings.TrimSpace(linkPair[0])
rel := strings.Replace(strings.TrimSpace(linkPair[1]), "rel=", "", 1)
urlStr = urlStr[1 : len(urlStr)-1]
rel = rel[1 : len(rel)-1]
result[rel] = urlStr
}
return result
}
func getQueryFromURL(urlStr string) (url.Values, error) {
if urlStr == "" {
return nil, ErrNoResultSet
}
u, err := url.ParseRequestURI(urlStr)
if err != nil {
return nil, err
}
return u.Query(), nil
}
func getPageInfo(query url.Values) (int, int, error) {
pageStr, pageSizeStr := query.Get("page"), query.Get("pageSize")
if pageStr == "" || pageSizeStr == "" {
return 0, 0, ErrPaginationInfoMissing
}
page, err := strconv.Atoi(pageStr)
if err != nil {
return 0, 0, err
}
pageSize, err := strconv.Atoi(pageSizeStr)
if err != nil {
return 0, 0, err
}
return page, pageSize, nil
}<｜fim▁end｜> | if err != nil {
return err
}
req.Close = true |
<|file_name|>herault.js<|end_file_name|><｜fim▁begin｜>var Coords =[
new google.maps.LatLng(43.764497050251, 4.067245831926),
new google.maps.LatLng(43.767710540551, 4.0838447211269),
new google.maps.LatLng(43.763799242547, 4.0910940285128),
new google.maps.LatLng(43.751534987638, 4.0955537969329),
new google.maps.LatLng(43.749596196669, 4.0992272874881),
new google.maps.LatLng(43.748614101906, 4.1037735820058),
new google.maps.LatLng(43.740176897197, 4.1116967004996),
new google.maps.LatLng(43.737672967392, 4.1141608349415),
new google.maps.LatLng(43.737122105436, 4.1225139666038),
new google.maps.LatLng(43.740618383453, 4.1334746212138),
new google.maps.LatLng(43.73549175631, 4.1438531591789),
new google.maps.LatLng(43.732442056606, 4.1450336205531),
new google.maps.LatLng(43.717749022565, 4.1515839261668),
new google.maps.LatLng(43.715013286084, 4.1538768326902),
new google.maps.LatLng(43.70775944283, 4.1623216217659),
new google.maps.LatLng(43.69599663352, 4.1646093108827),
new google.maps.LatLng(43.692836878272, 4.164309790761),
new google.maps.LatLng(43.690142310761, 4.1636163228877),
new google.maps.LatLng(43.651750366126, 4.1938133092423),
new google.maps.LatLng(43.641876308886, 4.1928978389754),
new google.maps.LatLng(43.610808005954, 4.1700493321096),
new google.maps.LatLng(43.596111677254, 4.1496125262289),
new google.maps.LatLng(43.589087710743, 4.1503049224716),
new google.maps.LatLng(43.585565233082, 4.1502054865695),
new google.maps.LatLng(43.588357562326, 4.1228737302345),
new google.maps.LatLng(43.585273648539, 4.0998851223704),
new google.maps.LatLng(43.590937681987, 4.0882478576292),
new google.maps.LatLng(43.59030671958, 4.0794468991731),
new google.maps.LatLng(43.5889919794, 4.0751150449374),
new google.maps.LatLng(43.588594582094, 4.0746700716691),
new google.maps.LatLng(43.588353533806, 4.0834935156176),
new google.maps.LatLng(43.571377713527, 4.1063310679927),
new google.maps.LatLng(43.568435156867, 4.1087003638825),
new google.maps.LatLng(43.554374556735, 4.101033501705),
new google.maps.LatLng(43.556833163387, 4.0425173468859),
new google.maps.LatLng(43.556334613985, 4.0376446095051),
new google.maps.LatLng(43.550959182088, 4.0047437269044),
new google.maps.LatLng(43.541199151517, 3.9740100828706),
new google.maps.LatLng(43.540235526673, 3.9693732342211),
new google.maps.LatLng(43.518493270178, 3.912277253111),
new google.maps.LatLng(43.517199046766, 3.9079430828702),
new google.maps.LatLng(43.515263457389, 3.9038138774444),
new google.maps.LatLng(43.487461339826, 3.8527691888595),
new google.maps.LatLng(43.466501007342, 3.8262118759024),
new google.maps.LatLng(43.463562593536, 3.8235439882633),
new google.maps.LatLng(43.440040430863, 3.7945256440712),
new google.maps.LatLng(43.415801075627, 3.724911602778),
new google.maps.LatLng(43.412275889717, 3.7250604677071),
new google.maps.LatLng(43.40168543759, 3.7252723840087),
new google.maps.LatLng(43.392086513447, 3.6892124897449),
new google.maps.LatLng(43.392912486882, 3.6654331167972),
new google.maps.LatLng(43.388000704254, 3.6526137399832),
new google.maps.LatLng(43.367541706339, 3.6193510157753),
new google.maps.LatLng(43.326167903476, 3.5666749169165),
new google.maps.LatLng(43.323497321641, 3.5636511199473),
new google.maps.LatLng(43.302018302127, 3.5398007661227),
new google.maps.LatLng(43.275986759651, 3.5160101953829),
new google.maps.LatLng(43.27243694938, 3.507795812983),
new google.maps.LatLng(43.282183706868, 3.4436021012641),
new google.maps.LatLng(43.289466092167, 3.433618025397),
new google.maps.LatLng(43.290223414137, 3.4289577322512),
new google.maps.LatLng(43.290092412522, 3.4241451779723),
new google.maps.LatLng(43.287291792597, 3.400449018804),
new google.maps.LatLng(43.27737600946, 3.364782418103),
new google.maps.LatLng(43.275888464821, 3.3605742162691),
new google.maps.LatLng(43.270315972843, 3.3435411788445),
new google.maps.LatLng(43.267704564177, 3.3402736130879),
new google.maps.LatLng(43.254488903636, 3.3116188481241),
new google.maps.LatLng(43.252327124149, 3.3082137270658),
new google.maps.LatLng(43.233406140974, 3.2713326376239),
new google.maps.LatLng(43.231326326839, 3.2676612698119),
new google.maps.LatLng(43.212813466414, 3.2405555984303),
new google.maps.LatLng(43.219164104542, 3.2289833318724),
new google.maps.LatLng(43.24777428734, 3.2015235025104),
new google.maps.LatLng(43.250410690322, 3.1932162125318),
new google.maps.LatLng(43.250133185926, 3.1840046686603),
new google.maps.LatLng(43.243847449793, 3.1731200265047),
new google.maps.LatLng(43.24322705354, 3.1591848207257),
new google.maps.LatLng(43.247393750711, 3.1465096207935),
new google.maps.LatLng(43.254165245609, 3.1470107106721),
new google.maps.LatLng(43.259516359039, 3.1416149329225),
new google.maps.LatLng(43.260744300448, 3.1188861735501),
new google.maps.LatLng(43.254754449597, 3.1146616552818),
new google.maps.LatLng(43.256170311974, 3.1014154861434),
new google.maps.LatLng(43.257932720391, 3.0974432327844),<｜fim▁hole｜> new google.maps.LatLng(43.263834423362, 3.0861969952925),
new google.maps.LatLng(43.262936768459, 3.0769759559943),
new google.maps.LatLng(43.280046316685, 3.0543445664211),
new google.maps.LatLng(43.281918942077, 3.036053972047),
new google.maps.LatLng(43.277621116516, 3.0111093680315),
new google.maps.LatLng(43.280939696638, 3.0120953583958),
new google.maps.LatLng(43.286245195319, 3.0057246144955),
new google.maps.LatLng(43.296782360259, 3.0048139017547),
new google.maps.LatLng(43.300142997304, 3.0062801771976),
new google.maps.LatLng(43.319717247656, 3.004416118444),
new google.maps.LatLng(43.319557883167, 2.9952697760087),
new google.maps.LatLng(43.319226203204, 2.9907122186526),
new google.maps.LatLng(43.313053766357, 2.9617841350901),
new google.maps.LatLng(43.31248527536, 2.9575323939526),
new google.maps.LatLng(43.311966634759, 2.9460700568401),
new google.maps.LatLng(43.313669610899, 2.942063999969),
new google.maps.LatLng(43.326095507672, 2.9212453430981),
new google.maps.LatLng(43.323523103733, 2.9183636410232),
new google.maps.LatLng(43.320058135741, 2.9109809574883),
new google.maps.LatLng(43.326271056758, 2.894918499876),
new google.maps.LatLng(43.327945382316, 2.8908727412029),
new google.maps.LatLng(43.333258686917, 2.8851135431243),
new google.maps.LatLng(43.34181850223, 2.8911667014333),
new google.maps.LatLng(43.351774895076, 2.8894896066632),
new google.maps.LatLng(43.354631167261, 2.8880023774612),
new google.maps.LatLng(43.35735328512, 2.8899004774047),
new google.maps.LatLng(43.360538965293, 2.8890197830529),
new google.maps.LatLng(43.36660247913, 2.8877108945586),
new google.maps.LatLng(43.372943781124, 2.8722746830842),
new google.maps.LatLng(43.38102210816, 2.8705636020831),
new google.maps.LatLng(43.383644063628, 2.8691710678577),
new google.maps.LatLng(43.376299709391, 2.8567710601744),
new google.maps.LatLng(43.373492477522, 2.8556245979945),
new google.maps.LatLng(43.356458197807, 2.8695716108069),
new google.maps.LatLng(43.339642234973, 2.8737369559741),
new google.maps.LatLng(43.330070869443, 2.8685266478631),
new google.maps.LatLng(43.325632856635, 2.8459730177875),
new google.maps.LatLng(43.323692982579, 2.8419187191978),
new google.maps.LatLng(43.323972511949, 2.8181539005732),
new google.maps.LatLng(43.319218171384, 2.8061021909638),
new google.maps.LatLng(43.308658383918, 2.8165981982052),
new google.maps.LatLng(43.304384773049, 2.8096722332936),
new google.maps.LatLng(43.302371254646, 2.8057185014417),
new google.maps.LatLng(43.300321439946, 2.8018139670651),
new google.maps.LatLng(43.287704527134, 2.7872219216814),
new google.maps.LatLng(43.277777110439, 2.7867997710852),
new google.maps.LatLng(43.274451763746, 2.7869582017553),
new google.maps.LatLng(43.274046909884, 2.7870780064563),
new google.maps.LatLng(43.266641083672, 2.7831713677293),
new google.maps.LatLng(43.265252489543, 2.7799883092305),
new google.maps.LatLng(43.261245392772, 2.7732813524163),
new google.maps.LatLng(43.258040806996, 2.7724824971388),
new google.maps.LatLng(43.257257123375, 2.7685056209493),
new google.maps.LatLng(43.254606456392, 2.752516658963),
new google.maps.LatLng(43.257401385285, 2.7500657839666),
new google.maps.LatLng(43.26458915665, 2.7407605946728),
new google.maps.LatLng(43.26725956, 2.7379020844305),
new google.maps.LatLng(43.275563590421, 2.7177301300182),
new google.maps.LatLng(43.273662523157, 2.7089126013864),
new google.maps.LatLng(43.274484060323, 2.7051794599365),
new google.maps.LatLng(43.276827893796, 2.7029562316351),
new google.maps.LatLng(43.282830333666, 2.700288609921),
new google.maps.LatLng(43.292274523921, 2.7055026122394),
new google.maps.LatLng(43.308344678077, 2.699145705393),
new google.maps.LatLng(43.311214819342, 2.7007265948906),
new google.maps.LatLng(43.323011355784, 2.6877672062537),
new google.maps.LatLng(43.316584642206, 2.685549684911),
new google.maps.LatLng(43.313619004238, 2.6772128758754),
new google.maps.LatLng(43.303715072161, 2.6748533990011),
new google.maps.LatLng(43.296348189032, 2.6597398522658),
new google.maps.LatLng(43.292980043257, 2.6592411715176),
new google.maps.LatLng(43.294199839325, 2.6477827840608),
new google.maps.LatLng(43.2945164635, 2.6439094262335),
new google.maps.LatLng(43.295561609799, 2.639744620708),
new google.maps.LatLng(43.29594476602, 2.6311843702299),
new google.maps.LatLng(43.287623826824, 2.6246102925863),
new google.maps.LatLng(43.284454138064, 2.6169440497314),
new google.maps.LatLng(43.287695631486, 2.6178331668848),
new google.maps.LatLng(43.298269018161, 2.6011656296314),
new google.maps.LatLng(43.301432589453, 2.6009218087246),
new google.maps.LatLng(43.313844940455, 2.5996990297167),
new google.maps.LatLng(43.31456274639, 2.5964288952093),
new google.maps.LatLng(43.317996923894, 2.5920016476026),
new google.maps.LatLng(43.321413960379, 2.5909829864245),
new google.maps.LatLng(43.333921712898, 2.5835290753887),
new google.maps.LatLng(43.337477685351, 2.5555245468346),
new google.maps.LatLng(43.335850335536, 2.5514927789278),
new google.maps.LatLng(43.345244858549, 2.5400771213401),
new google.maps.LatLng(43.354462442623, 2.5458975980357),
new google.maps.LatLng(43.366377586276, 2.5552281180032),
new google.maps.LatLng(43.376438915614, 2.5523836551378),
new google.maps.LatLng(43.389792167222, 2.5570546157474),
new google.maps.LatLng(43.397582100942, 2.5663027693091),
new google.maps.LatLng(43.400254245021, 2.5690248346599),
new google.maps.LatLng(43.399498714508, 2.5734708531489),
new google.maps.LatLng(43.399657202667, 2.5868803940185),
new google.maps.LatLng(43.405135281358, 2.5922905184457),
new google.maps.LatLng(43.411720619706, 2.5930471264166),
new google.maps.LatLng(43.412676728056, 2.5838183607221),
new google.maps.LatLng(43.421245171725, 2.569787871923),
new google.maps.LatLng(43.422970197904, 2.5657755060732),
new google.maps.LatLng(43.423309211223, 2.5792652548044),
new google.maps.LatLng(43.432719548507, 2.5979871913018),
new google.maps.LatLng(43.431343333441, 2.6021858553915),
new google.maps.LatLng(43.432006976889, 2.6063692423199),
new google.maps.LatLng(43.438037807129, 2.6060769379219),
new google.maps.LatLng(43.440421368499, 2.6088384166858),
new google.maps.LatLng(43.438538561989, 2.6176473878596),
new google.maps.LatLng(43.455595113375, 2.6410467522132),
new google.maps.LatLng(43.457930738128, 2.6445628335792),
new google.maps.LatLng(43.461273756026, 2.6446054565924),
new google.maps.LatLng(43.467069948695, 2.6415765366252),
new google.maps.LatLng(43.464183600798, 2.6636220293469),
new google.maps.LatLng(43.470056793486, 2.667986703452),
new google.maps.LatLng(43.472689847091, 2.6650896516086),
new google.maps.LatLng(43.480971393081, 2.6576208798072),
new google.maps.LatLng(43.494199142323, 2.6550284874719),
new google.maps.LatLng(43.503468507719, 2.6598952161139),
new google.maps.LatLng(43.516934617292, 2.6588473697839),
new google.maps.LatLng(43.513705649723, 2.6715116017393),
new google.maps.LatLng(43.513466923493, 2.6760175626237),
new google.maps.LatLng(43.516270810225, 2.6731937804288),
new google.maps.LatLng(43.548289121276, 2.631431888153),
new google.maps.LatLng(43.565386887977, 2.6166383423958),
new google.maps.LatLng(43.568726838576, 2.6179772822462),
new google.maps.LatLng(43.583252410712, 2.6309937461155),
new google.maps.LatLng(43.593203141017, 2.6272237888046),
new google.maps.LatLng(43.59246962559, 2.6225333627594),
new google.maps.LatLng(43.595433128828, 2.6200624775246),
new google.maps.LatLng(43.600531867019, 2.6155982491134),
new google.maps.LatLng(43.611114627643, 2.6277724435695),
new google.maps.LatLng(43.660680341037, 2.6454817228743),
new google.maps.LatLng(43.659454615325, 2.6497711337781),
new google.maps.LatLng(43.650005859011, 2.6535690824976),
new google.maps.LatLng(43.649452580576, 2.6672812128777),
new google.maps.LatLng(43.653820346744, 2.6846870062571),
new google.maps.LatLng(43.65093564865, 2.6873060999388),
new google.maps.LatLng(43.642500459434, 2.7229120951681),
new google.maps.LatLng(43.627271641781, 2.7409241318536),
new google.maps.LatLng(43.617866939561, 2.7465361802148),
new google.maps.LatLng(43.614151341425, 2.7545134228371),
new google.maps.LatLng(43.614897649884, 2.7590713748764),
new google.maps.LatLng(43.625880495443, 2.7816843259866),
new google.maps.LatLng(43.624646995985, 2.7951242380276),
new google.maps.LatLng(43.629544991817, 2.8015856982342),
new google.maps.LatLng(43.632165183812, 2.8046883131259),
new google.maps.LatLng(43.639491856918, 2.814698860384),
new google.maps.LatLng(43.637444036994, 2.8284189389341),
new google.maps.LatLng(43.644765452404, 2.8448820928324),
new google.maps.LatLng(43.644974394949, 2.8687602104603),
new google.maps.LatLng(43.657139264955, 2.8842868672717),
new google.maps.LatLng(43.654661487371, 2.9029316595363),
new google.maps.LatLng(43.654761850142, 2.9077854999055),
new google.maps.LatLng(43.662012667059, 2.9184687728366),
new google.maps.LatLng(43.686590522624, 2.9195863204309),
new google.maps.LatLng(43.694722489306, 2.9349566621739),
new google.maps.LatLng(43.691787770386, 2.9422223071178),
new google.maps.LatLng(43.696542782535, 2.9549713055804),
new google.maps.LatLng(43.699458154579, 2.9575922894355),
new google.maps.LatLng(43.704028418731, 2.9693510139828),
new google.maps.LatLng(43.704630679732, 2.9739546093266),
new google.maps.LatLng(43.708034325938, 2.9820841819559),
new google.maps.LatLng(43.706503424894, 2.9959944006669),
new google.maps.LatLng(43.701452800048, 3.0133191729311),
new google.maps.LatLng(43.696008060918, 3.0186561355853),
new google.maps.LatLng(43.694373855237, 3.0226504658572),
new google.maps.LatLng(43.692439638249, 3.031373174402),
new google.maps.LatLng(43.696959580507, 3.048227734022),
new google.maps.LatLng(43.692814182549, 3.0606757037474),
new google.maps.LatLng(43.696015241164, 3.0618684792685),
new google.maps.LatLng(43.702412070124, 3.0623586553531),
new google.maps.LatLng(43.706851849597, 3.0691559502941),
new google.maps.LatLng(43.715980768143, 3.0549590115441),
new google.maps.LatLng(43.72575200619, 3.0576478905281),
new google.maps.LatLng(43.732008869579, 3.0535121138241),
new google.maps.LatLng(43.738448204152, 3.0571141120726),
new google.maps.LatLng(43.744784855174, 3.053151949452),
new google.maps.LatLng(43.751566947329, 3.0552337274355),
new google.maps.LatLng(43.754958032058, 3.0562686019721),
new google.maps.LatLng(43.755715077854, 3.065405917086),
new google.maps.LatLng(43.767598283868, 3.0734966915114),
new google.maps.LatLng(43.779688997592, 3.0587893448412),
new google.maps.LatLng(43.782810955159, 3.0570421915607),
new google.maps.LatLng(43.786110232658, 3.0583743816932),
new google.maps.LatLng(43.801502128045, 3.0485654596642),
new google.maps.LatLng(43.804629053386, 3.0501560983569),
new google.maps.LatLng(43.81263813234, 3.0638127826534),
new google.maps.LatLng(43.818021394989, 3.0586546216152),
new google.maps.LatLng(43.827981493392, 3.0587312397999),
new google.maps.LatLng(43.835275493627, 3.0663125180764),
new google.maps.LatLng(43.83482928498, 3.0711626695373),
new google.maps.LatLng(43.835566076912, 3.0857027320166),
new google.maps.LatLng(43.827079985415, 3.1125618217326),
new google.maps.LatLng(43.817671678323, 3.1269721165949),
new google.maps.LatLng(43.813774641763, 3.150704446994),
new google.maps.LatLng(43.814802769068, 3.1514640348897),
new google.maps.LatLng(43.817077585965, 3.1549977151193),
new google.maps.LatLng(43.812840449347, 3.1823727961769),
new google.maps.LatLng(43.812965112624, 3.2053042908887),
new google.maps.LatLng(43.817787106301, 3.2226852222246),
new google.maps.LatLng(43.826073053974, 3.231791985611),
new google.maps.LatLng(43.827447161244, 3.23630882038),
new google.maps.LatLng(43.828815631227, 3.2447126452908),
new google.maps.LatLng(43.829588519884, 3.2490341072424),
new google.maps.LatLng(43.842955323279, 3.2502669090853),
new google.maps.LatLng(43.852747300616, 3.2371311723815),
new google.maps.LatLng(43.862696152916, 3.2353502467722),
new google.maps.LatLng(43.874948820418, 3.2430504110919),
new google.maps.LatLng(43.878317388521, 3.2562290077787),
new google.maps.LatLng(43.887610246167, 3.2618986007005),
new google.maps.LatLng(43.891011625337, 3.2626003861536),
new google.maps.LatLng(43.898527673087, 3.2741365958612),
new google.maps.LatLng(43.896781972883, 3.2774398578363),
new google.maps.LatLng(43.893310733501, 3.2858239253238),
new google.maps.LatLng(43.89499126559, 3.2951267145453),
new google.maps.LatLng(43.891149170611, 3.3186575516449),
new google.maps.LatLng(43.894203151013, 3.3425683201462),
new google.maps.LatLng(43.903712308652, 3.3419034376836),
new google.maps.LatLng(43.912517408301, 3.3550802349951),
new google.maps.LatLng(43.914533695681, 3.3586609129918),
new google.maps.LatLng(43.91153737767, 3.3598755570552),
new google.maps.LatLng(43.916530368788, 3.3700024875379),
new google.maps.LatLng(43.912394683674, 3.381294367721),
new google.maps.LatLng(43.910784467131, 3.3944099249313),
new google.maps.LatLng(43.914731968134, 3.4017218099446),
new google.maps.LatLng(43.911320641053, 3.4239191408841),
new google.maps.LatLng(43.900376679957, 3.4357709307027),
new google.maps.LatLng(43.886788101232, 3.4370249038852),
new google.maps.LatLng(43.873668693154, 3.4310044005068),
new google.maps.LatLng(43.872324530577, 3.4215954391113),
new google.maps.LatLng(43.864428499676, 3.4308018055531),
new google.maps.LatLng(43.862963916446, 3.435172414109),
new google.maps.LatLng(43.868875151211, 3.4471172854528),
new google.maps.LatLng(43.871395187163, 3.4608494969953),
new google.maps.LatLng(43.890458538981, 3.4820748627487),
new google.maps.LatLng(43.891302040199, 3.4915776491392),
new google.maps.LatLng(43.890776951764, 3.4961420107577),
new google.maps.LatLng(43.896385880324, 3.5071729007075),
new google.maps.LatLng(43.888426735064, 3.520671475872),
new google.maps.LatLng(43.885797283892, 3.5235256101578),
new google.maps.LatLng(43.864950499177, 3.5216367718623),
new google.maps.LatLng(43.859047652796, 3.5270306482096),
new google.maps.LatLng(43.85169620698, 3.548730140662),
new google.maps.LatLng(43.855336869534, 3.5616049715187),
new google.maps.LatLng(43.844916021787, 3.5743619494384),
new google.maps.LatLng(43.843569534149, 3.5789039669546),
new google.maps.LatLng(43.846188682295, 3.5817934974029),
new google.maps.LatLng(43.84964381202, 3.5994730361895),
new google.maps.LatLng(43.852974738999, 3.5998699928172),
new google.maps.LatLng(43.864451036219, 3.5768746481182),
new google.maps.LatLng(43.871189956839, 3.5788112243981),
new google.maps.LatLng(43.877435988535, 3.5829623464993),
new google.maps.LatLng(43.888930536817, 3.6005071530527),
new google.maps.LatLng(43.895393251159, 3.6022049882509),
new google.maps.LatLng(43.914143178022, 3.6210673424323),
new google.maps.LatLng(43.916981621984, 3.6235818111296),
new google.maps.LatLng(43.914927133575, 3.6375650839334),
new google.maps.LatLng(43.898953952047, 3.6379829406426),
new google.maps.LatLng(43.902417913782, 3.6452745634724),
new google.maps.LatLng(43.912664480132, 3.6448015493723),
new google.maps.LatLng(43.91127302046, 3.6624425296301),
new google.maps.LatLng(43.910570271097, 3.6669780416002),
new google.maps.LatLng(43.913269537642, 3.6734216577505),
new google.maps.LatLng(43.926098604097, 3.6786498226925),
new google.maps.LatLng(43.932409141351, 3.6765718045011),
new google.maps.LatLng(43.940638779668, 3.6836471729513),
new google.maps.LatLng(43.939498787614, 3.6863949964684),
new google.maps.LatLng(43.939945865751, 3.6894915790867),
new google.maps.LatLng(43.951660927496, 3.6844810735006),
new google.maps.LatLng(43.958236282201, 3.6994370904496),
new google.maps.LatLng(43.960987788741, 3.7172664964086),
new google.maps.LatLng(43.970683961405, 3.73112280709),
new google.maps.LatLng(43.966874323088, 3.7873258572737),
new google.maps.LatLng(43.963606421636, 3.7869436022047),
new google.maps.LatLng(43.95383961072, 3.7870800528868),
new google.maps.LatLng(43.942280572745, 3.7955083003835),
new google.maps.LatLng(43.942412902242, 3.8203006885095),
new google.maps.LatLng(43.939791611999, 3.8232809450009),
new google.maps.LatLng(43.924059754806, 3.8282808984296),
new google.maps.LatLng(43.918058153268, 3.8239936255809),
new google.maps.LatLng(43.911932942503, 3.8208482989948),
new google.maps.LatLng(43.890822245537, 3.7995341311598),
new google.maps.LatLng(43.878595108746, 3.8054596015989),
new google.maps.LatLng(43.8740857406, 3.8223464706225),
new google.maps.LatLng(43.86895635712, 3.827917049394),
new google.maps.LatLng(43.866426235967, 3.8307960804587),
new google.maps.LatLng(43.868659759257, 3.8344465065243),
new google.maps.LatLng(43.868629728148, 3.847656918052),
new google.maps.LatLng(43.87670296679, 3.8612461388793),
new google.maps.LatLng(43.878519033566, 3.8992451641929),
new google.maps.LatLng(43.887156027946, 3.913829613015),
new google.maps.LatLng(43.881974619437, 3.9195535058983),
new google.maps.LatLng(43.878667193571, 3.9182183737984),
new google.maps.LatLng(43.868334252413, 3.9177197550677),
new google.maps.LatLng(43.858787744224, 3.9231083899002),
new google.maps.LatLng(43.854253499492, 3.9337174488978),
new google.maps.LatLng(43.853580542707, 3.9378982848966),
new google.maps.LatLng(43.853383403992, 3.9421173047425),
new google.maps.LatLng(43.853510503837, 3.9589819749038),
new google.maps.LatLng(43.850436008362, 3.9577388119625),
new google.maps.LatLng(43.844136174577, 3.9581307895495),
new google.maps.LatLng(43.842681862082, 3.9795189482769),
new google.maps.LatLng(43.837122650706, 3.9737313860037),
new google.maps.LatLng(43.827216238239, 3.9741916092653),
new google.maps.LatLng(43.816410830524, 3.9620844065809),
new google.maps.LatLng(43.806046528717, 3.9601124944292),
new google.maps.LatLng(43.804510670711, 3.9636068631978),
new google.maps.LatLng(43.80148100489, 3.9743452731043),
new google.maps.LatLng(43.802879184168, 3.9788049798058),
new google.maps.LatLng(43.809897775503, 3.9955950285446),
new google.maps.LatLng(43.813055733212, 4.0013366064945),
new google.maps.LatLng(43.801556210281, 4.0286466763621),
new google.maps.LatLng(43.798931027045, 4.0315106937324),
new google.maps.LatLng(43.787576165384, 4.0497647101563),
new google.maps.LatLng(43.785050642722, 4.053114085562),
new google.maps.LatLng(43.778001428408, 4.0519833804752),
new google.maps.LatLng(43.774273825191, 4.0517470462304),
new google.maps.LatLng(43.772320564129, 4.0598278220158),
new google.maps.LatLng(43.767321313785, 4.0649246985509),
new google.maps.LatLng(43.764497050251, 4.067245831926)
];<｜fim▁end｜> | new google.maps.LatLng(43.259882544534, 3.0936330383983), |
<|file_name|>system_log.py<|end_file_name|><｜fim▁begin｜>import sys
import click
from solar.core import testing
from solar.core import resource
from solar.system_log import change
from solar.system_log import operations
from solar.system_log import data
from solar.cli.uids_history import get_uid, remember_uid, SOLARUID
@click.group()
def changes():
pass
@changes.command()
def validate():
errors = resource.validate_resources()
if errors:
for r, error in errors:
print 'ERROR: %s: %s' % (r.name, error)
sys.exit(1)
@changes.command()
@click.option('-d', default=False, is_flag=True)
def stage(d):
log = list(change.stage_changes().reverse())
for item in log:
click.echo(item)
if d:
for line in item.details:
click.echo(' '*4+line)<｜fim▁hole｜> click.echo('No changes')
@changes.command(name='staged-item')
@click.argument('log_action')
def staged_item(log_action):
item = data.SL().get(log_action)
if not item:
click.echo('No staged changes for {}'.format(log_action))
else:
click.echo(item)
for line in item.details:
click.echo(' '*4+line)
@changes.command()
def process():
uid = change.send_to_orchestration()
remember_uid(uid)
click.echo(uid)
@changes.command()
@click.argument('uid', type=SOLARUID)
def commit(uid):
operations.commit(uid)
@changes.command()
@click.option('-n', default=5)
def history(n):
commited = list(data.CL().collection(n))
if not commited:
click.echo('No history.')
return
commited.reverse()
click.echo(commited)
@changes.command()
def test():
results = testing.test_all()
for name, result in results.items():
msg = '[{status}] {name} {message}'
kwargs = {
'name': name,
'message': '',
'status': 'OK',
}
if result['status'] == 'ok':
kwargs['status'] = click.style('OK', fg='green')
else:
kwargs['status'] = click.style('ERROR', fg='red')
kwargs['message'] = result['message']
click.echo(msg.format(**kwargs))
@changes.command(name='clean-history')
def clean_history():
data.CL().clean()
data.CD().clean()<｜fim▁end｜> | if not log: |
<|file_name|>M01_Nod_GuardTower_Tailgun_JDG.cpp<|end_file_name|><｜fim▁begin｜>/*
* A Command & Conquer: Renegade SSGM Plugin, containing all the single player mission scripts<｜fim▁hole｜>* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program.If not, see <http://www.gnu.org/licenses/>.
*/
#include "General.h"
#include "M01_Nod_GuardTower_Tailgun_JDG.h"
// This script is never used
void M01_Nod_GuardTower_Tailgun_JDG::Created(GameObject *obj)
{
ActionParamsStruct params;
params.Set_Basic(this, 100.0f, 17);
Vector3 pos = Commands->Get_Position(obj);
GameObject *starObj = Commands->Get_A_Star(pos);
params.Set_Attack(starObj, 30.0f, 1.0f, true);
Commands->Action_Attack(obj, params);
}
ScriptRegistrant<M01_Nod_GuardTower_Tailgun_JDG> M01_Nod_GuardTower_Tailgun_JDGRegistrant("M01_Nod_GuardTower_Tailgun_JDG", "");<｜fim▁end｜> | * Copyright(C) 2017 Neijwiert
*
* This program is free software : you can redistribute it and / or modify |
<|file_name|>setup.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
import os
import re
from setuptools import find_packages, setup
def text_of(relpath):
"""
Return string containing the contents of the file at *relpath* relative to
this file.
"""
thisdir = os.path.dirname(__file__)
file_path = os.path.join(thisdir, os.path.normpath(relpath))
with open(file_path) as f:
text = f.read()
return text
# Read the version from docx.__version__ without importing the package
# (and thus attempting to import packages it depends on that may not be
# installed yet)
version = re.search(r'__version__ = "([^"]+)"', text_of("docx/__init__.py")).group(1)
NAME = "python-docx"
VERSION = version
DESCRIPTION = "Create and update Microsoft Word .docx files."
KEYWORDS = "docx office openxml word"
AUTHOR = "Steve Canny"
AUTHOR_EMAIL = "[email protected]"
URL = "https://github.com/python-openxml/python-docx"
LICENSE = text_of("LICENSE")
PACKAGES = find_packages(exclude=["tests", "tests.*"])
PACKAGE_DATA = {"docx": ["templates/*.xml", "templates/*.docx"]}
INSTALL_REQUIRES = ["lxml>=2.3.2"]
TEST_SUITE = "tests"
TESTS_REQUIRE = ["behave", "mock", "pyparsing", "pytest"]
<｜fim▁hole｜> "License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Topic :: Office/Business :: Office Suites",
"Topic :: Software Development :: Libraries",
]
LONG_DESCRIPTION = text_of("README.rst") + "\n\n" + text_of("HISTORY.rst")
ZIP_SAFE = False
params = {
"name": NAME,
"version": VERSION,
"description": DESCRIPTION,
"keywords": KEYWORDS,
"long_description": LONG_DESCRIPTION,
"author": AUTHOR,
"author_email": AUTHOR_EMAIL,
"url": URL,
"license": LICENSE,
"packages": PACKAGES,
"package_data": PACKAGE_DATA,
"install_requires": INSTALL_REQUIRES,
"tests_require": TESTS_REQUIRE,
"test_suite": TEST_SUITE,
"classifiers": CLASSIFIERS,
"zip_safe": ZIP_SAFE,
}
setup(**params)<｜fim▁end｜> | CLASSIFIERS = [
"Development Status :: 3 - Alpha",
"Environment :: Console",
"Intended Audience :: Developers", |
<|file_name|>interpreter.py<|end_file_name|><｜fim▁begin｜>import command
command_list = ["joke","weather","play","pause","stop","skip","light","security","created","name","mood","selfie"]
def interpret(s):
print "meow"<｜fim▁hole｜> print cmd
return command.Command(cmd).do()<｜fim▁end｜> | for cmd in command_list:
if s.find(cmd) != -1: |
<|file_name|>images.js<|end_file_name|><｜fim▁begin｜>export default function(path, width, height) {
this._images.push({path:path, width: width, height:height})
return this;<｜fim▁hole｜><｜fim▁end｜> | }; |
<|file_name|>convert.rs<|end_file_name|><｜fim▁begin｜>// Copyright 2014 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.<｜fim▁hole｜>//!
//! The traits in this module provide a general way to talk about conversions
//! from one type to another. They follow the standard Rust conventions of
//! `as`/`into`/`from`.
//!
//! Like many traits, these are often used as bounds for generic functions, to
//! support arguments of multiple types.
//!
//! See each trait for usage examples.
#![stable(feature = "rust1", since = "1.0.0")]
use marker::Sized;
/// A cheap, reference-to-reference conversion.
///
/// `AsRef` is very similar to, but different than, `Borrow`. See
/// [the book][book] for more.
///
/// [book]: ../../book/borrow-and-asref.html
///
/// # Examples
///
/// Both `String` and `&str` implement `AsRef<str>`:
///
/// ```
/// fn is_hello<T: AsRef<str>>(s: T) {
/// assert_eq!("hello", s.as_ref());
/// }
///
/// let s = "hello";
/// is_hello(s);
///
/// let s = "hello".to_string();
/// is_hello(s);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub trait AsRef<T: ?Sized> {
/// Performs the conversion.
#[stable(feature = "rust1", since = "1.0.0")]
fn as_ref(&self) -> &T;
}
/// A cheap, mutable reference-to-mutable reference conversion.
#[stable(feature = "rust1", since = "1.0.0")]
pub trait AsMut<T: ?Sized> {
/// Performs the conversion.
#[stable(feature = "rust1", since = "1.0.0")]
fn as_mut(&mut self) -> &mut T;
}
/// A conversion that consumes `self`, which may or may not be expensive.
///
/// # Examples
///
/// `String` implements `Into<Vec<u8>>`:
///
/// ```
/// fn is_hello<T: Into<Vec<u8>>>(s: T) {
/// let bytes = b"hello".to_vec();
/// assert_eq!(bytes, s.into());
/// }
///
/// let s = "hello".to_string();
/// is_hello(s);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub trait Into<T>: Sized {
/// Performs the conversion.
#[stable(feature = "rust1", since = "1.0.0")]
fn into(self) -> T;
}
/// Construct `Self` via a conversion.
///
/// # Examples
///
/// `String` implements `From<&str>`:
///
/// ```
/// let string = "hello".to_string();
/// let other_string = String::from("hello");
///
/// assert_eq!(string, other_string);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub trait From<T>: Sized {
/// Performs the conversion.
#[stable(feature = "rust1", since = "1.0.0")]
fn from(T) -> Self;
}
////////////////////////////////////////////////////////////////////////////////
// GENERIC IMPLS
////////////////////////////////////////////////////////////////////////////////
// As lifts over &
#[stable(feature = "rust1", since = "1.0.0")]
impl<'a, T: ?Sized, U: ?Sized> AsRef<U> for &'a T where T: AsRef<U> {
fn as_ref(&self) -> &U {
<T as AsRef<U>>::as_ref(*self)
}
}
// As lifts over &mut
#[stable(feature = "rust1", since = "1.0.0")]
impl<'a, T: ?Sized, U: ?Sized> AsRef<U> for &'a mut T where T: AsRef<U> {
fn as_ref(&self) -> &U {
<T as AsRef<U>>::as_ref(*self)
}
}
// FIXME (#23442): replace the above impls for &/&mut with the following more general one:
// // As lifts over Deref
// impl<D: ?Sized + Deref, U: ?Sized> AsRef<U> for D where D::Target: AsRef<U> {
// fn as_ref(&self) -> &U {
// self.deref().as_ref()
// }
// }
// AsMut lifts over &mut
#[stable(feature = "rust1", since = "1.0.0")]
impl<'a, T: ?Sized, U: ?Sized> AsMut<U> for &'a mut T where T: AsMut<U> {
fn as_mut(&mut self) -> &mut U {
(*self).as_mut()
}
}
// FIXME (#23442): replace the above impl for &mut with the following more general one:
// // AsMut lifts over DerefMut
// impl<D: ?Sized + Deref, U: ?Sized> AsMut<U> for D where D::Target: AsMut<U> {
// fn as_mut(&mut self) -> &mut U {
// self.deref_mut().as_mut()
// }
// }
// From implies Into
#[stable(feature = "rust1", since = "1.0.0")]
impl<T, U> Into<U> for T where U: From<T> {
fn into(self) -> U {
U::from(self)
}
}
// From (and thus Into) is reflexive
#[stable(feature = "rust1", since = "1.0.0")]
impl<T> From<T> for T {
fn from(t: T) -> T { t }
}
////////////////////////////////////////////////////////////////////////////////
// CONCRETE IMPLS
////////////////////////////////////////////////////////////////////////////////
#[stable(feature = "rust1", since = "1.0.0")]
impl<T> AsRef<[T]> for [T] {
fn as_ref(&self) -> &[T] {
self
}
}
#[stable(feature = "rust1", since = "1.0.0")]
impl<T> AsMut<[T]> for [T] {
fn as_mut(&mut self) -> &mut [T] {
self
}
}
#[stable(feature = "rust1", since = "1.0.0")]
impl AsRef<str> for str {
#[inline]
fn as_ref(&self) -> &str {
self
}
}<｜fim▁end｜> |
//! Traits for conversions between types. |
<|file_name|>models.py<|end_file_name|><｜fim▁begin｜>import os
import hashlib
import datetime
from django.db import models
from django.conf import settings
from django.contrib.auth.models import User
from django.db import connection
from django.db.models.signals import post_save<｜fim▁hole｜>
def set_user_password(user, password):
if user and password:
password = password.encode("utf-8")
user.password = hashlib.md5(password).hexdigest()
User.set_password = set_user_password
class UserProfile(models.Model):
GENDER_MALE = 1
GERNDER_FEMALE = 2
GENDERS = (
(GENDER_MALE, 'male'),
(GERNDER_FEMALE, 'famale')
)
DEFAULT_PROFILE_IMAGE = "profile/avatar.gif"
user = models.ForeignKey(User)
gender = models.IntegerField(choices=GENDERS, blank=True, null=True)
class Meta:
db_table = 'profiles'
def create_user_profile(sender, instance, created, **kwargs):
if created:
profile, created = UserProfile.objects.get_or_create(user=instance)
post_save.connect(create_user_profile, sender=User)<｜fim▁end｜> | |
<|file_name|>panel.js<|end_file_name|><｜fim▁begin｜>define([
"settings",
"views/tags"
], function(panelSettings, TagsView) {
var PanelFileView = codebox.require("views/panels/file");
var PanelOutlineView = PanelFileView.extend({
className: "cb-panel-outline",
FileView: TagsView
});<｜fim▁hole｜>});<｜fim▁end｜> |
return PanelOutlineView; |
<|file_name|>ComponentWithPrivatePostConstruct.java<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>
import javax.annotation.PostConstruct;
import javax.inject.Inject;
public class ComponentWithPrivatePostConstruct {
@Inject
private DependentComponent component;
@PostConstruct
@SuppressWarnings("unused")
private void postconstruct() {
component.count();
}
}<｜fim▁end｜> | package org.needle4j.postconstruct.injection; |
<|file_name|>cloud.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
import json
from enum import IntEnum
import requests
from wechatpy.client.api.base import BaseWeChatAPI
class FileType(IntEnum):
JSON = 1
CSV = 2
class ConflictMode(IntEnum):
INSERT = 1
UPSERT = 2
class WeChatCloud(BaseWeChatAPI):
API_BASE_URL = 'https://api.weixin.qq.com/'
def invoke_cloud_function(self, env, name, data=None):
"""
触发云函数
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/functions/invokeCloudFunction.html
:param env: 云开发环境 ID
:param name: 云函数名称
:param data: 云函数的传入参数，具体结构由开发者定义
"""
return self._post(
'tcb/invokecloudfunction',
params={
'env': env,
'name': name,
},
data=data,
result_processor=lambda x: json.loads(x['resp_data'])
)
def db_import(self, env, collection, file_path, file_type, conflict_mode, stop_on_error=True):
"""
数据库导入
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseMigrateImport.html
:param env: 云开发环境 ID
:param collection: 导入 collection 名称
:param file_path: 导入文件路径(导入文件需先上传到同环境的存储中，可使用开发者工具或 HTTP API的上传文件 API上传）
:param file_type: 导入文件类型，文件格式参考数据库导入指引中的文件格式部分，值为数字，1 为 JSON，2 为 CSV
:param stop_on_error: 是否在遇到错误时停止导入，默认为 True
:param conflict_mode: 冲突处理模式, 值为数字，1 为 INSERT，2 为 UPSERT
:return: 导入任务 ID，可使用数据库迁移进度查询 API 查询导入进度及结果
"""
return self._post(
'tcb/databasemigrateimport',
data={
'env': env,
'collection_name': collection,
'file_path': file_path,
'file_type': file_type,
'stop_on_error': stop_on_error,
'conflict_mode': conflict_mode,
},
result_processor=lambda x: x['job_id']
)
def db_export(self, env, file_path, file_type, query):
"""
数据库导出
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseMigrateExport.html
:param env: 云开发环境 ID
:param file_path: 导出文件路径(导入文件需先上传到同环境的存储中，可使用开发者工具或 HTTP API的上传文件 API上传）
:param file_type: 导出文件类型，文件格式参考数据库导入指引中的文件格式部分，值为数字，1 为 JSON，2 为 CSV
:param query: 导出条件
:return: 导出任务 ID，可使用数据库迁移进度查询 API 查询导出结果，获取文件下载链接
"""
return self._post(
'tcb/databasemigrateexport',
data={
'env': env,
'file_path': file_path,
'file_type': file_type,
'query': query,
},
result_processor=lambda x: x['job_id']
)
def db_query_migrate_info(self, env, job_id):
"""
数据库迁移状态查询
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseMigrateQueryInfo.html
:param env: 云开发环境 ID
:param job_id: 任务 ID
"""
return self._post(
'tcb/databasemigratequeryinfo',
data={
'env': env,
'job_id': job_id,
}
)
def db_update_index(self, env, collection, create_indexes=None, drop_indexes=None):
"""
变更数据库索引
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/updateIndex.html
:param env: 云开发环境 ID
:param collection: 导出 collection 名称
"""
assert create_indexes or drop_indexes
return self._post(
'tcb/updateindex',
data={
'env': env,
'collection_name': collection,
'create_indexes': create_indexes or [],
'drop_indexes': create_indexes or [],
}
)
def db_add_collection(self, env, collection):
"""
新增集合
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseCollectionAdd.html
:param env: 云开发环境 ID
:param collection: 集合名称
"""
return self._post(
'tcb/databasecollectionadd',
data={
'env': env,
'collection_name': collection,
}
)
def db_delete_collection(self, env, collection):
"""
删除集合
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseCollectionDelete.html
:param env: 云开发环境 ID
:param collection: 集合名称
"""
return self._post(
'tcb/databasecollectiondelete',
data={
'env': env,
'collection_name': collection,
}
)
def db_get_collection(self, env, offset=0, limit=10):
"""
获取特定云环境下集合信息
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseCollectionGet.html
:param env: 云开发环境 ID
:param offset: 偏移量，默认为 0
:param limit: 获取数量限制， 默认为 10
"""
return self._post(
'tcb/databasecollectionget',
data={
'env': env,
'offset': offset,
'limit': limit,
}
)
def db_add(self, env, query):
"""
数据库插入记录
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseAdd.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回插入成功的数据集合主键 _id 列表
"""
return self._post(
'tcb/databaseadd',
data={
'env': env,
'query': query,
},
result_processor=lambda x: x['id_list']
)
def db_delete(self, env, query):
"""
数据库删除记录
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseDelete.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回删除记录数量
"""
return self._post(
'tcb/databasedelete',
data={
'env': env,
'query': query,
},
result_processor=lambda x: x['deleted']
)
def db_update(self, env, query):
"""
数据更新记录
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseUpdate.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回的 JSON 数据包
"""
return self._post(
'tcb/databaseupdate',
data={
'env': env,
'query': query,
}
)
def db_query(self, env, query):
"""
数据库查询记录
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseQuery.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回的 JSON 数据包
"""
return self._post(
'tcb/databasequery',
data={
'env': env,
'query': query,
}
)
def db_aggregate(self, env, query):
"""
数据库聚合
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseAggregate.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回记录列表
"""
return self._post(
'tcb/databaseaggregate',
data={
'env': env,
'query': query,
},
result_processor=lambda x: x['data']
)
def db_count(self, env, query):
"""
统计集合记录数或统计查询语句对应的结果记录数
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/database/databaseCount.html
:param env: 云开发环境 ID
:param query: 数据库操作语句
:return: 返回记录数量
"""
return self._post(
'tcb/databasecount',
data={
'env': env,
'query': query,
},
result_processor=lambda x: x['count']
)
def upload_file(self, env, path):
"""
获取文件上传链接
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/storage/uploadFile.html
:param env: 云开发环境 ID
"""
with open(path, 'rb') as f:
res = self._post(
'tcb/uploadfile',
data={
'env': env,
'path': path,
}
)
signature = res['authorization']
token = res['token']
cos_file_id = res['cos_file_id']
upload_res = requests.post(
res['url'],
files={
'file': f,
'key': path,
'Signature': signature,
'x-cos-security-token': token,
'x-cos-meta-fileid': cos_file_id,
},
)
upload_res.raise_for_status()
return upload_res
def download_files(self, env, file_list):
"""
获取文件下载链接
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/storage/batchDownloadFile.html
:param env: 云开发环境 ID
:param file_list: 文件列表
:return: 返回文件列表
"""
return self._post(
'tcb/batchdownloadfile',
data={
'env': env,
'file_list': file_list,
},
result_processor=lambda x: x['file_list']
)
def delete_files(self, env, fileid_list):
"""
删除文件
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/storage/batchDeleteFile.html
:param env: 云开发环境 ID
:param fileid_list: 文件 ID 列表
:return: 被删除的文件列表
"""
return self._post(
'tcb/batchdeletefile',
data={
'env': env,<｜fim▁hole｜>
def get_qcloud_token(self, lifespan=7200):
"""
获取腾讯云 API 调用凭证
详情请参考
https://developers.weixin.qq.com/miniprogram/dev/wxcloud/reference-http-api/utils/getQcloudToken.html
"""
return self._post(
'tcb/getqcloudtoken',
data={'lifespan': lifespan}
)<｜fim▁end｜> | 'fileid_list': fileid_list,
},
result_processor=lambda x: x['delete_list']
) |
<|file_name|>cubetools.py<|end_file_name|><｜fim▁begin｜>"""
Functions for the analysis of integral field spectroscopy.
Author: Daniel Ruschel Dutra
Website: https://github.com/danielrd6/ifscube
"""
from numpy import *
import pyfits as pf
import spectools as st
import matplotlib as mpl
import matplotlib.pyplot as plt
from scipy.integrate import trapz
from copy import deepcopy
from voronoi_2d_binning import voronoi_2d_binning
from scipy.optimize import curve_fit
from scipy.optimize import minimize
from scipy.ndimage import gaussian_filter as gf
from scipy.integrate import trapz
from scipy.interpolate import interp1d
from scipy import ndimage
import profiles as lprof
import ppxf
import ppxf_util
def progress(x, xmax, steps=10):
try:
if x%(xmax/steps) == 0:
print '{:2.0f}%\r'.format(float(x)/float(xmax)*100)
except ZeroDivisionError:
pass
class gmosdc:
"""
A class for dealing with data cubes, originally written to work
with GMOS IFU.
"""
def __init__(self, fitsfile, redshift=None, vortab=None):
"""
Initializes the class and loads basic information onto the
object.
Parameters:
-----------
fitstile : string
Name of the FITS file containing the GMOS datacube. This
should be the standard output from the GFCUBE task of the
GEMINI-GMOS IRAF package.
redshift : float
Value of redshift (z) of the source, if no Doppler
correction has
been applied to the spectra yet.
vortab : string
Name of the file containing the Voronoi binning table
Returns:
--------
Nothing.
"""
if len(pf.open(fitsfile)) == 2:
dataext, hdrext = 1,0
elif len(pf.open(fitsfile)) == 1:
dataext, hdrext = 0,0
self.data = pf.getdata(fitsfile,ext=dataext)
self.header_data = pf.getheader(fitsfile, ext=dataext)
self.header = pf.getheader(fitsfile, ext=hdrext)
self.wl = st.get_wl(fitsfile, hdrext=dataext, dimension=0,
dwlkey='CD3_3', wl0key='CRVAL3', pix0key='CRPIX3')
if redshift == None:
try:
redshift = self.header['REDSHIFT']
except KeyError:
print 'WARNING! Redshift not given and not found in the image'\
+ ' header. Using redshift = 0.'
redshift = 0.0
self.restwl = self.wl/(1.+redshift)
try:
if self.header['VORBIN'] and vortab != None:
self.voronoi_tab = vortab
self.binned = True
elif self.header['VORBIN'] and vortab == None:
print 'WARNING! Data has been binned but no binning table has'\
+ ' been given.'
self.binned = True
except KeyError:
self.binned = False
self.fitsfile = fitsfile
self.redshift = redshift
self.spec_indices = column_stack([
ravel(indices(shape(self.data)[1:])[0]),
ravel(indices(shape(self.data)[1:])[1])
])
def continuum(self, writefits=False, outimage=None, fitting_window=None,
copts=None):
"""
Evaluates a polynomial continuum for the whole cube and stores
it in self.cont.
"""
if self.binned:
v = loadtxt(self.voronoi_tab)
xy = v[unique(v[:,2], return_index=True)[1],:2]
else:
xy = self.spec_indices
fw = fitting_window
fwidx = (self.restwl > fw[0]) & (self.restwl < fw[1])
wl = deepcopy(self.restwl[fwidx])
data = deepcopy(self.data[fwidx])
c = zeros(shape(data), dtype='float32')
nspec = len(xy)
if copts == None:
copts = {'degr':3, 'upper_threshold':2,
'lower_threshold':2, 'niterate':5}
try:
copts['returns']
except KeyError:
copts['returns'] = 'function'
for k,h in enumerate(xy):
i,j = h
s = deepcopy(data[:,i,j])
if any(s[:20]) and any(s[-20:]):
try:
cont = st.continuum(wl, s, **copts)
if self.binned:
for l,m in v[v[:,2] == k,:2]:
c[:,l,m] = cont[1]
else:
c[:,i,j] = cont[1]
except TypeError:
print 'Could not find a solution for {:d},{:d}.'\
.format(i,j)
return wl, s
else:
c[:,i,j] = zeros(len(wl), dtype='float32')
self.cont = c
if writefits:
if outimage == None:
outimage = self.fitsfile.replace('.fits','_continuum.fits')
hdr = deepcopy(self.header_data)
try:
hdr['REDSHIFT'] = self.redshift
except KeyError:
hdr.append(('REDSHIFT', self.redshift,
'Redshift used in GMOSDC'))
hdr['CRVAL3'] = wl[0]
hdr.append(('CONTDEGR', copts['degr'],
'Degree of continuum polynomial'))
hdr.append(('CONTNITE', copts['niterate'],
'Continuum rejection iterations'))
hdr.append(('CONTLTR', copts['lower_threshold'],
'Continuum lower threshold'))
hdr.append(('CONTHTR', copts['upper_threshold'],
'Continuum upper threshold'))
pf.writeto(outimage, data=c, header=hdr)
return c
def snr_eval(self, wl_range=[6050,6200], copts=None):
"""
Measures the signal to noise ratio (SNR) for each spectrum in a
data cube, returning an image of the SNR.
Parameters:
-----------
self : gmosdc instance
gmosdc object
wl_range : array like
An array like object containing two wavelength coordinates
that define the SNR window at the rest frame.
copts : dictionary
Options for the continuum fitting function.
Returns:
--------
snr : numpy.ndarray
Image of the SNR for each spectrum.
Description:
------------
This method evaluates the SNR for each spectrum in a data
cube by measuring the residuals of a polynomial continuum
fit. The function CONTINUUM of the SPECTOOLS package is used
to provide the continuum, with zero rejection iterations
and a 3 order polynomial.
"""
noise = zeros(shape(self.data)[1:], dtype='float32')
signal = zeros(shape(self.data)[1:], dtype='float32')
snrwindow = (self.restwl >= wl_range[0]) &\
(self.restwl <= wl_range[1])
data = deepcopy(self.data)
wl = self.restwl[snrwindow]
if copts == None:
copts = {'niterate':0, 'degr':3, 'upper_threshold':3,
'lower_threshold':3, 'returns':'function'}
else:
copts['returns'] = 'function'
for i,j in self.spec_indices:
if any(data[snrwindow,i,j]):
s = data[snrwindow,i,j]
cont = st.continuum(wl, s, **copts)[1]
noise[i,j] = nanstd(s - cont)
signal[i,j] = nanmean(cont)
else:
noise[i,j],signal[i,j] = nan, nan
self.noise = noise
self.signal = signal
return array([signal,noise])
def wlprojection(self, wl0, fwhm=10, filtertype='box', writefits=False,
outimage='wlprojection.fits'):
"""
Writes a projection of the data cube along the wavelength
coordinate, with the flux given by a given type of filter.
Parameters:
-----------
wl0 : float
Central wavelength at the rest frame.
fwhm : float
Full width at half maximum. See 'filtertype'.
filtertype : string
Type of function to be multiplied by the spectrum to return
the argument for the integral.
'box' = Box function that is zero everywhere and 1
between wl0-fwhm/2 and wl0+fwhm/2.
'gaussian' = Normalized gaussian function with center at
wl0 and sigma = fwhm/(2*sqrt(2*log(2)))
outimage : string
Name of the output image
Returns:
--------
Nothing.
"""
if filtertype == 'box':
arrfilt = array( (self.restwl >= wl0-fwhm/2.) &
(self.restwl <= wl0+fwhm/2.), dtype='float')
arrfilt /= trapz(arrfilt,self.restwl)
elif filtertype == 'gaussian':
s = fwhm/(2.*sqrt(2.*log(2.)))
arrfilt = 1./sqrt(2*pi)*exp(-(self.restwl-wl0)**2/2./s**2)
else:
print 'ERROR! Parameter filtertype "{:s}" not understood.'\
.format(filtertype)
outim = zeros(shape(self.data)[1:], dtype='float32')
for i,j in self.spec_indices:
outim[i,j] = trapz(self.data[:,i,j]*arrfilt, self.restwl)
if writefits:
hdr = deepcopy(self.header)
try:
hdr['REDSHIFT'] = self.redshift
except KeyError:
hdr.append(('REDSHIFT', self.redshift, 'Redshift used in GMOSDC'))
hdr.append(('WLPROJ', True, 'Processed by WLPROJECTION?'))
hdr.append(('WLPRTYPE', filtertype,
'Type of filter used in projection.'))
hdr.append(('WLPRWL0', wl0, 'Central wavelength of the filter.'))
hdr.append(('WLPRFWHM', fwhm, 'FWHM of the projection filter.'))
pf.writeto(outimage,data=outim,header=hdr)
return outim
def plotspec(self, x, y):
"""
Plots the spectrum at coordinates x,y.
Parameters
----------
x,y : numbers or tuple
If x and y are numbers plots the spectrum at the specific
spaxel. If x and y are two element tuples plots the average
between x[0],y[0] and x[1],y[1]
Returns
-------
Nothing.
"""
fig = plt.figure(1)
ax = plt.axes()
try:
if len(x) == 2 and len(y) == 2:
s = average(average(self.data[:,y[0]:y[1],x[0]:x[1]], 1), 1)
except TypeError:
s = self.data[:,y,x]
ax.plot(self.restwl, s)
plt.show()
def linefit(self, p0, function='gaussian', fitting_window=None,
writefits=False, outimage=None, variance=None,
constraints=(), bounds=None, inst_disp=1.0, individual_spec=False,
min_method='SLSQP', minopts=None, copts=None,
refit=False, spiral_loop=False, spiral_center=None,
fit_continuum=True, refit_radius=3):
"""
Fits a spectral feature with a gaussian function and returns a
map of measured properties. This is a wrapper for the scipy
minimize function that basically iterates over the cube,
has a formula for the reduced chi squared, and applies
an internal scale factor to the flux.
Parameters
----------
p0 : iterable
Initial guess for the fitting funcion, consisting of a list
of 3N parameters for N components of **function**. In the
case of a gaussian fucntion, these parameters must be given
as [amplitude0, center0, sigma0, amplitude1, center1, ...].
function : string
The function to be fitted to the spectral features.
Available options and respective parameters are:
'gaussian' : amplitude, central wavelength in angstroms,
sigma in angstroms
'gauss_hermite' : amplitude, central wavelength in
angstroms, sigma in angstroms, h3 and h4
fitting_window : iterable
Lower and upper wavelength limits for the fitting
algorithm. These limits should allow for a considerable
portion of continuum besides the desired spectral features.
writefits : boolean
Writes the results in a FITS file.
outimage : string
Name of the FITS file in which to write the results.
variance : float, 1D, 2D or 3D array
The variance of the flux measurments. It can be given
in one of four formats. If variance is a float it is
applied as a contant to the whole spectrum. If given as 1D
array it assumed to be a spectrum that will be applied to
the whole cube. As 2D array, each spaxel will be applied
equally to all wavelenths. Finally the 3D array must
represent the variance for each elemente of the data cube.
It defaults to None, in which case it does not affect the
minimization algorithm, and the returned Chi2 will be in
fact just the fit residuals.
inst_disp : number
Instrumental dispersion in pixel units. This argument is
used to evaluate the reduced chi squared. If let to default
it is assumed that each wavelength coordinate is a degree
of freedom. The physically sound way to do it is to use the
number of dispersion elements in a spectrum as the degrees
of freedom.
bounds : sequence
Bounds for the fitting algorithm, given as a list of
[xmin, xmax] pairs for each x parameter.
constraints : dict or sequence of dicts
See scipy.optimize.minimize
min_method : string
Minimization method. See scipy.optimize.minimize.
minopts : dict
Dictionary of options to be passed to the minimization
routine. See scipy.optimize.minimize.
individual_spec : False or x,y pair
Pixel coordinates for the spectrum you wish to fit
individually.
copts : dict
Arguments to be passed to the spectools.continuum function.
refit : boolean
Use parameters from nearby sucessful fits as the initial
guess for the next fit.
spiral_loop : boolean
Begins the fitting with the central spaxel and continues
spiraling outwards.
spiral_center : iterable
Central coordinates for the beginning of the spiral given
as a list of two coordinates [x0, y0]
fit_continuum : boolean
If True fits the continuum just before attempting to fit
the emission lines. Setting this option to False will
cause the algorithm to look for self.cont, which should
contain a data cube of continua.
Returns
-------
sol : numpy.ndarray
A data cube with the solution for each spectrum occupying
the respective position in the image, and each position in
the first axis giving the different parameters of the fit.
See also
--------
scipy.optimize.curve_fit, scipy.optimize.leastsq
"""
if function == 'gaussian':
fit_func = lprof.gauss
self.fit_func = lprof.gauss
npars_pc = 3
elif function == 'gauss_hermite':
fit_func = lprof.gausshermite
self.fit_func = lprof.gausshermite
npars_pc = 5
else:
raise NameError('Unknown function "{:s}".'.format(function))
if fitting_window != None:
fw = (self.restwl > fitting_window[0]) &\
(self.restwl < fitting_window[1])
else:
fw = Ellipsis
if copts == None:
copts = {'niterate':5, 'degr':4, 'upper_threshold':2,
'lower_threshold':2}
copts['returns'] = 'function'
try:
minopts['eps']
except TypeError:
if minopts == None:
minopts = {'eps': 1e-3}
else:
minopts['eps'] = 1e-3
wl = deepcopy(self.restwl[fw])
scale_factor = median(self.data[fw,:,:])
data = deepcopy(self.data[fw,:,:])/scale_factor
fit_status = ones(shape(data)[1:], dtype='float32')*-1
if len(shape(variance)) == 0:
if variance == None:
variance = 1.0
else:
variance = deepcopy(variance)/scale_factor**2
vcube = ones(shape(data), dtype='float32')
if len(shape(variance)) == 0:
vcube *= variance
elif len(shape(variance)) == 1:
for i,j in self.spec_indices:
vcube[:,i,j] = variance
elif len(shape(variance)) == 2:
for i,j in enumerate(vcube):
vcube[i] = variance
elif len(shape(variance)) == 3:
vcube = variance
npars = len(p0)
nan_solution = array([nan for i in range(npars+1)])
sol = zeros((npars+1,shape(self.data)[1], shape(self.data)[2]),
dtype='float32')
self.fitcont = zeros(shape(data), dtype='float32')
self.fitwl = wl
self.fitspec = zeros(shape(data), dtype='float32')
self.resultspec = zeros(shape(data), dtype='float32')
if self.binned:
vor = loadtxt(self.voronoi_tab)
xy = vor[unique(vor[:,2],return_index=True)[1],:2]
else:
xy = self.spec_indices
# Scale factor for the flux. Needed to avoid problems with
# the minimization algorithm.
flux_sf = ones(npars, dtype='float32')
flux_sf[arange(0, npars, npars_pc)] *= scale_factor
p0 /= flux_sf
if bounds != None:
bounds = array(bounds)
for i,j in enumerate(bounds):
j /= flux_sf[i]
Y, X = indices(shape(data)[1:])
if individual_spec:
xy = [individual_spec[::-1]]
elif spiral_loop:
if self.binned:
y, x = xy[:,0], xy[:,1]
else:
y, x = self.spec_indices[:,0], self.spec_indices[:,1]
if spiral_center == None:
r = sqrt((x - x.max()/2.)**2 + (y - y.max()/2.)**2)
else:
r = sqrt((x - spiral_center[0])**2 + (y - spiral_center[1])**2)
t = arctan2(y - y.max()/2., x - x.max()/2.)
t[t < 0] += 2*pi
b = array([(ravel(r)[i], ravel(t)[i]) for i in\
range(len(ravel(r)))], dtype=[('radius', 'f8'),\
('angle', 'f8')])
s = argsort(b, axis=0, order=['radius', 'angle'])
xy = column_stack([ravel(y)[s], ravel(x)[s]])
nspec = len(xy)
for k, h in enumerate(xy):
progress(k, nspec, 10)
i, j = h
if self.binned:
binNum = vor[(vor[:,0] == i)&(vor[:,1] == j), 2]
if ~any(data[:20,i,j]) or ~any(data[-20:,i,j]):
sol[:,i,j] = nan_solution
continue
v = vcube[:,i,j]
if fit_continuum:
cont = st.continuum(wl, data[:,i,j], **copts)[1]
else:
cont = self.cont[:,i,j]/scale_factor
s = data[:,i,j] - cont
# Avoids fitting if the spectrum is null.
try:
res = lambda x : sum( (s-fit_func(self.fitwl, x))**2/v )
if refit and k != 0:
radsol = sqrt((Y - i)**2 + (X - j)**2)
nearsol = sol[:-1, (radsol < refit_radius) &\
(fit_status == 0)]
if shape(nearsol) == (5, 1):
p0 = deepcopy(nearsol.transpose()/flux_sf)
elif any(nearsol):
p0 = deepcopy(average(nearsol.transpose(), 0)/flux_sf)
r = minimize(res, x0=p0, method=min_method, bounds=bounds,
constraints=constraints, options=minopts)
if r.status != 0:
print h, r.message
# Reduced chi squared of the fit.
chi2 = res(r['x'])
nu = len(s)/inst_disp - npars - 1
red_chi2 = chi2 / nu
p = append(r['x']*flux_sf, red_chi2)
fit_status[i,j] = r.status
except RuntimeError:
print 'Optimal parameters not found for spectrum {:d},{:d}'\
.format(int(i),int(j))
p = nan_solution
if self.binned:
for l, m in vor[vor[:,2] == binNum,:2]:
sol[:,l,m] = p
self.fitcont[:,l,m] = cont*scale_factor
self.fitspec[:,l,m] = (s+cont)*scale_factor
self.resultspec[:,l,m] = (cont+fit_func(self.fitwl,
r['x']))*scale_factor
else:
sol[:,i,j] = p
self.fitcont[:,i,j] = cont*scale_factor
self.fitspec[:,i,j] = (s+cont)*scale_factor
self.resultspec[:,i,j] = (cont+fit_func(self.fitwl, r['x']))\
*scale_factor
self.em_model = sol
self.fit_status = fit_status
p0 *= flux_sf
if writefits:
# Basic tests and first header
if outimage == None:
outimage = self.fitsfile.replace('.fits',
'_linefit.fits')
hdr = deepcopy(self.header_data)
try:
hdr['REDSHIFT'] = self.redshift
except KeyError:
hdr.append(('REDSHIFT', self.redshift,
'Redshift used in GMOSDC'))
# Creates MEF output.
h = pf.HDUList()
h.append(pf.PrimaryHDU(header=hdr))
# Creates the fitted spectrum extension
hdr = pf.Header()
hdr.append(('object', 'spectrum', 'Data in this extension'))
hdr.append(('CRPIX3', 1, 'Reference pixel for wavelength'))
hdr.append(('CRVAL3', wl[0], 'Reference value for wavelength'))
hdr.append(('CD3_3', average(diff(wl)),
'CD3_3'))
h.append(pf.ImageHDU(data=self.fitspec, header=hdr))
# Creates the fitted continuum extension.
hdr['object'] = 'continuum'
h.append(pf.ImageHDU(data=self.fitcont, header=hdr))
# Creates the fitted function extension.
hdr['object'] = 'fit'
h.append(pf.ImageHDU(data=self.resultspec, header=hdr))
# Creates the solution extension.
hdr['object'] = 'parameters'
hdr.append(('function', function, 'Fitted function'))
hdr.append(('nfunc', len(p)/3, 'Number of functions'))
h.append(pf.ImageHDU(data=sol, header=hdr))
# Creates the minimize's exit status extension
hdr['object'] = 'status'
h.append(pf.ImageHDU(data=fit_status, header=hdr))
h.writeto(outimage)
if individual_spec:
return wl, s*scale_factor, cont*scale_factor,\
fit_func(wl, p[:-1]), r
else:
return sol
def loadfit(self, fname):
"""
Loads the result of a previous fit, and put it in the
appropriate variables for the plotfit function.
Parameters
----------
fname : string
Name of the FITS file generated by gmosdc.linefit.
Returns
-------
Nothing.
"""
self.fitwl = st.get_wl(fname, pix0key='crpix3', wl0key='crval3',
dwlkey='cd3_3', hdrext=1, dataext=1)
self.fitspec = pf.getdata(fname, ext=1)
self.fitcont = pf.getdata(fname, ext=2)
self.resultspec = pf.getdata(fname, ext=3)
func_name = pf.getheader(fname, ext=4)['function']
if func_name == 'gaussian':
self.fit_func = lprof.gauss
if func_name == 'gauss_hermite':
self.fit_func = lprof.gausshermite
self.em_model = pf.getdata(fname, ext=4)
def eqw(self, amp_index=0, center_index=1, sigma_index=2, sigma_limit=3):
"""
Evaluates the equivalent width of a previous linefit.
"""
xy = self.spec_indices
eqw_model = zeros(shape(self.em_model)[1:], dtype='float32')
eqw_direct = zeros(shape(self.em_model)[1:], dtype='float32')
fit_func = lambda x, a ,b, c: a*exp(-(x-b)**2/2./c**2)
for i,j in xy:
cond = (self.fitwl > self.em_model[center_index,i,j]\
- sigma_limit*self.em_model[sigma_index,i,j])\
& (self.fitwl < self.em_model[center_index,i,j]\
+ sigma_limit*self.em_model[sigma_index,i,j])
fit = fit_func(self.fitwl[cond],
*self.em_model[[amp_index, center_index, sigma_index], i, j])
cont = self.fitcont[cond,i,j]
eqw_model[i,j] = trapz(1. - (fit+cont)/cont, x=self.fitwl[cond])
eqw_direct[i,j] = trapz(1. - self.data[cond,i,j]/cont,
x=self.restwl[cond])
return array([eqw_model,eqw_direct])
def plotfit(self, x, y):
"""
Plots the spectrum and features just fitted.
Parameters
----------
x : number
Horizontal coordinate of the desired spaxel.
y : number
Vertical coordinate of the desired spaxel.
Returns
-------
Nothing.
"""
fig = plt.figure(1)
plt.clf()
ax = plt.axes()
p = self.em_model[:-1,y,x]
c = self.fitcont[:,y,x]
wl = self.fitwl
f = self.fit_func
s = self.fitspec[:,y,x]
ax.plot(wl, c + f(wl, p))
ax.plot(wl, c)
ax.plot(wl, s)
if self.fit_func == lprof.gauss:
npars = 3
parnames = ('A', 'wl', 's')
elif self.fit_func == lprof.gausshermite:
npars = 5
parnames = ('A', 'wl', 's', 'h3', 'h4')
else:
raise NameError('Unkown fit function.')
if len(p) > npars:
for i in arange(0, len(p), npars):
ax.plot(wl, c + f(wl, p[i:i+npars]), 'k--')
pars = (npars*'{:10s}'+'\n').format(*parnames)
for i in arange(0, len(p), npars):
pars += (('{:10.2e}'+(npars-1)*'{:10.2f}'+'\n')\
.format(*p[i:i+npars]))
print pars
plt.show()
def channelmaps(self, channels=6, lambda0=None, velmin=None, velmax=None,
continuum_width=300, continuum_opts=None, sigma=1e-16):
"""
Creates velocity channel maps from a data cube.
Parameters
----------
channels : integer
Number of channel maps to build
lambda0 : number
Central wavelength of the desired spectral feature
vmin : number
Mininum velocity in kilometers per second
vmax : number
Maximum velocity in kilometers per second
continuum_width : number
Width in wavelength for the continuum evaluation window
continuum_opts : dictionary
Dicitionary of options to be passed to the
spectools.continuum function
Returns
-------
"""
# Converting from velocities to wavelength
wlmin, wlmax = lambda0*(array([velmin, velmax])/2.99792e+5 + 1.)
wlstep = (wlmax - wlmin)/channels
wl_limits = arange(wlmin, wlmax + wlstep, wlstep)
side = int(ceil(sqrt(channels))) # columns
otherside = int(ceil(channels/side)) # lines
fig = plt.figure()
plt.clf()
if continuum_opts == None:
continuum_opts = {'niterate' : 3, 'degr' : 5,
'upper_threshold' : 3, 'lower_threshold' : 3}
cp = continuum_opts
cw = continuum_width
fw = lambda0 + array([-cw/2., cw/2.])
cont = self.continuum(niterate=cp['niterate'],
degr=cp['degr'], upper_threshold=cp['upper_threshold'],
lower_threshold=cp['lower_threshold'],
fitting_window=fw)
contwl = self.wl[ (self.wl > fw[0]) & (self.wl < fw[1]) ]
cont_wl2pix = interp1d(contwl, arange(len(contwl)))
for i in arange(channels):
ax = fig.add_subplot(otherside, side, i+1)
wl = self.restwl
wl0, wl1 = wl_limits[i], wl_limits[i+1]
print wl[(wl > wl0) & (wl < wl1)]
wlc, wlwidth = average([wl0, wl1]), (wl1-wl0)
f = self.wlprojection(wlc, fwhm=wlwidth, writefits=False,
filtertype='box') - cont[int(round(cont_wl2pix(wlc)))]
f[f < sigma] = nan
cp = continuum_opts
ax.imshow(f, interpolation='none', aspect=1)
ax.annotate('{:.0f}'.format((wlc - lambda0)/lambda0*2.99792e+5),
xy=(0.1, 0.8), xycoords='axes fraction', color='k')
if i%side != 0:
ax.set_yticklabels([])
if i/float( (otherside-1)*side ) < 1:
ax.set_xticklabels([])
fig.subplots_adjust(wspace=0, hspace=0)
plt.show()
def voronoi_binning(self, targetsnr=10.0, writefits=False,
outfile=None, clobber=False, writevortab=True):
"""
Applies Voronoi binning to the data cube, using Cappellari's
Python implementation.
Parameters:
-----------
targetsnr : float
Desired signal to noise ratio of the binned pixels
writefits : boolean
Writes a FITS image with the output of the binning.
outfile : string
Name of the output FITS file. If 'None' then the name of
the original FITS file containing the data cube will be used
as a root name, with '.bin' appended to it.
clobber : boolean
Overwrites files with the same name given in 'outfile'.
writevortab : boolean
Saves an ASCII table with the binning recipe.
Returns:
--------
Nothing.
"""
try:
x = shape(self.noise)
except AttributeError:
print 'This function requires prior execution of the snr_eval'\
+ 'method.'
return
valid_spaxels = ravel(~isnan(self.signal))
x = ravel(indices(shape(self.signal))[0])[valid_spaxels]
y = ravel(indices(shape(self.signal))[1])[valid_spaxels]
xnan = ravel(indices(shape(self.signal))[0])[~valid_spaxels]
ynan = ravel(indices(shape(self.signal))[1])[~valid_spaxels]
s, n = deepcopy(self.signal), deepcopy(self.noise)
s[s <= 0] = average(self.signal[self.signal > 0])
n[n <= 0] = average(self.signal[self.signal > 0])*.5
signal, noise = ravel(s)[valid_spaxels], ravel(n)[valid_spaxels]
binNum, xNode, yNode, xBar, yBar, sn, nPixels, scale = \
voronoi_2d_binning(x, y, signal, noise, targetsnr, plot=1, quiet=0)
v = column_stack([x, y, binNum])
if writevortab:
savetxt('voronoi_binning.dat', v, fmt='%.2f\t%.2f\t%d')
binned = zeros(shape(self.data), dtype='float32')
binned[:, xnan, ynan] = nan
for i in arange(binNum.max()+1):
samebin = v[:,2] == i
samebin_coords = v[samebin,:2]
binspec = average(self.data[:,samebin_coords[:,0],
samebin_coords[:,1]], axis=1)
for k in samebin_coords:
binned[:,k[0],k[1]] = binspec
if writefits:
hdr = deepcopy(self.header_data)
try:
hdr['REDSHIFT'] = self.redshift
except KeyError:
hdr.append(('REDSHIFT', self.redshift,
'Redshift used in GMOSDC'))
hdr.append(('VORBIN',True,'Processed by Voronoi binning?'))
hdr.append(('VORTSNR',targetsnr,'Target SNR for Voronoi binning.'))
if outfile == None:
outfile = '{:s}bin.fits'.format(self.fitsfile[:-4])
pf.writeto(outfile,data=binned,header=hdr,clobber=clobber)
self.binned_cube = binned
def write_binnedspec(self, dopcor=False, writefits=False):
"""
Writes only one spectrum for each bin in a FITS file.
"""
xy = self.spec_indices
unique_indices = xy[unique(self.data[1400,:,:], return_index=True)[1]]
if dopcor:
try:
shape(self.em_model)
except AttributeError:
print 'ERROR! This function requires the gmosdc.em_model'\
+ ' attribute to be defined.'
return
for k,i,j in enumerate(unique_indices):
z = self.em_model[0,i,j]/2.998e+5
interp_spec = interp1d(self.restwl/(1.+z),self.data[i,j])
if k == 0:
specs = interp_spec(self.restwl)
else:
specs = row_stack([specs,interp_spec(self.restwl)])
else:
specs = row_stack([self.data[:,i,j] for i,j in unique_indices])
return specs
def ppxf_kinematics(self, fitting_window, base_wl, base_spec,
base_cdelt, writefits=True, outimage=None,
vel=0, sigma=180, fwhm_gal=2, fwhm_model=1.8, noise=0.05,
individual_spec=False, plotfit=False, quiet=False,
deg=4):
"""
Executes pPXF fitting of the stellar spectrum over the whole
data cube.
Parameters
----------
fitting_window : array-like
Initial and final values of wavelength for fitting.
base_wl : array
Wavelength coordinates of the base spectra.
base_spec : array
Flux density coordinates of the base spectra.
base_cdelt : number
Step in wavelength coordinates.
Returns
-------
Nothing
Description
-----------
This function is merely a wrapper for Michelle Capellari's pPXF
Python algorithm for penalized pixel fitting of stellar
spectra.
"""
w0, w1 = fitting_window
fw = (self.wl >= w0)&(self.wl < w1)
# Here we use the goodpixels as the fitting window
gp = arange(shape(self.data)[0])[fw]
lamRange1 = self.wl[[1, -1]]
gal_lin = deepcopy(self.data[:,0,0])
galaxy, logLam1, velscale = ppxf_util.log_rebin(lamRange1,
gal_lin)
lamRange2 = base_wl[[1,-1]]
ssp = base_spec[0]
sspNew, logLam2, velscale = ppxf_util.log_rebin(lamRange2, ssp,
velscale=velscale)
templates = empty((sspNew.size, len(base_spec)))
# Convolve the whole Vazdekis library of spectral templates
# with the quadratic difference between the SAURON and the
# Vazdekis instrumental resolution. Logarithmically rebin
# and store each template as a column in the array TEMPLATES.
# Quadratic sigma difference in pixels Vazdekis --> SAURON
# The formula below is rigorously valid if the shapes of the
# instrumental spectral profiles are well approximated by
# Gaussians.
FWHM_dif = sqrt(fwhm_gal**2 - fwhm_model**2)
# Sigma difference in pixels
sigma = FWHM_dif/2.355/base_cdelt
for j in range(len(base_spec)):
ssp = base_spec[j]
ssp = ndimage.gaussian_filter1d(ssp,sigma)
sspNew, logLam2, velscale = ppxf_util.log_rebin(lamRange2, ssp,
velscale=velscale)
# Normalizes templates
templates[:,j] = sspNew/median(sspNew)
c = 299792.458
dv = (logLam2[0]-logLam1[0])*c # km/s
z = exp(vel/c) - 1
# Here the actual fit starts.
start = [vel, 180.] # (km/s), starting guess for [V,sigma]
# Assumes uniform noise accross the spectrum
noise = zeros(shape(self.data)[0], dtype='float32') + noise
if self.binned:
vor = loadtxt(self.voronoi_tab)
xy = vor[unique(vor[:,2],return_index=True)[1],:2]
else:
xy = self.spec_indices
if individual_spec:
xy = [individual_spec[::-1]]
ppxf_sol = zeros((4, shape(self.data)[1], shape(self.data)[2]),
dtype='float32')
ppxf_spec = zeros(shape(self.data), dtype='float32')
ppxf_model = zeros(shape(ppxf_spec), dtype='float32')
<｜fim▁hole｜> progress(k, nspec, 10)
i, j = h
if self.binned:
binNum = vor[(vor[:,0] == i)&(vor[:,1] == j), 2]
gal_lin = deepcopy(self.data[:,i,j])
galaxy, logLam1, velscale = ppxf_util.log_rebin(lamRange1, gal_lin)
# Normalize spectrum to avoid numerical issues.
galaxy = galaxy/median(galaxy)
# Assume constant noise per pixel here.
# This should be changed in the future.
galaxy = deepcopy(self.data[:,i,j])
galaxy = galaxy/median(galaxy)
pp = ppxf.ppxf(templates, galaxy, noise, velscale, start,
goodpixels=gp, plot=plotfit, moments=4, degree=deg, vsyst=dv,
quiet=quiet)
if self.binned:
for l, m in vor[vor[:,2] == binNum,:2]:
ppxf_sol[:,l,m] = pp.sol
ppxf_spec[:,l,m] = pp.galaxy
ppxf_model[:,l,m] = pp.bestfit
else:
ppxf_sol[:,i,j] = pp.sol
ppxf_spec[:,i,j] = pp.galaxy
ppxf_model[:,i,j] = pp.bestfit
self.ppxf_sol = ppxf_sol
self.ppxf_spec = ppxf_spec
self.ppxf_model = ppxf_model
if writefits:
# Basic tests and first header
if outimage == None:
outimage = self.fitsfile.replace('.fits',
'_ppxf.fits')
hdr = deepcopy(self.header_data)
try:
hdr['REDSHIFT'] = self.redshift
except KeyError:
hdr.append(('REDSHIFT', self.redshift,
'Redshift used in GMOSDC'))
# Creates MEF output.
h = pf.HDUList()
h.append(pf.PrimaryHDU(header=hdr))
# Creates the fitted spectrum extension
hdr = pf.Header()
hdr.append(('object', 'spectrum', 'Data in this extension'))
hdr.append(('CRPIX3', 1, 'Reference pixel for wavelength'))
hdr.append(('CRVAL3', self.wl[0],
'Reference value for wavelength'))
hdr.append(('CD3_3', average(diff(self.wl)),
'CD3_3'))
h.append(pf.ImageHDU(data=self.ppxf_spec, header=hdr))
# Creates the fitted model extension.
hdr['object'] = 'model'
h.append(pf.ImageHDU(data=self.ppxf_model, header=hdr))
# Creates the solution extension.
hdr['object'] = 'parameters'
h.append(pf.ImageHDU(data=self.ppxf_sol, header=hdr))
h.writeto(outimage)
def lineflux(self, amplitude, sigma):
"""
Calculates the flux in a line given the amplitude and sigma
of the gaussian function that fits it.
"""
lf = amplitude * abs(sigma) * sqrt(2.*pi)
return lf<｜fim▁end｜> | nspec = len(xy)
for k, h in enumerate(xy): |
<|file_name|>WaterfallSeries.js<|end_file_name|><｜fim▁begin｜>/* ****************************************************************************
* Start Waterfall series code *
*****************************************************************************/
wrap(axisProto, 'getSeriesExtremes', function (proceed, renew) {
// Run uber method
proceed.call(this, renew);
if (this.isXAxis) {
return;
}
var axis = this,
visitedStacks = [],
resetMinMax = true;
// recalculate extremes for each waterfall stack
each(axis.series, function (series) {
// process only visible, waterfall series, one from each stack
if (!series.visible || !series.stackKey || series.type !== 'waterfall' || HighchartsAdapter.inArray(series.stackKey) !== -1) {
return;
}
// reset previously found dataMin and dataMax, do it only once
if (resetMinMax) {
axis.dataMin = axis.dataMax = null;
resetMinMax = false;
}
var yData = series.processedYData,
yDataLength = yData.length,
seriesDataMin = yData[0],
seriesDataMax = yData[0],
threshold = series.options.threshold,
stacks = axis.stacks,
stackKey = series.stackKey,
negKey = '-' + stackKey,
total,
previous,
key,
i;
// set new stack totals including preceding values, finds new min and max values
for (i = 0; i < yDataLength; i++) {
key = yData[i] < threshold ? negKey : stackKey;
total = stacks[key][i].total;
if (i > threshold) {
total += previous;
stacks[key][i].setTotal(total);
// _cum is used to avoid conflict with Series.translate method
stacks[key][i]._cum = null;
}
// find min / max values
if (total < seriesDataMin) {
seriesDataMin = total;
}
if (total > seriesDataMax) {
seriesDataMax = total;
}
previous = total;
}
// set new extremes
series.dataMin = seriesDataMin;
series.dataMax = seriesDataMax;
axis.dataMin = mathMin(pick(axis.dataMin, seriesDataMin), seriesDataMin, threshold);
axis.dataMax = mathMax(pick(axis.dataMax, seriesDataMax), seriesDataMax, threshold);
// remember series' stack key
visitedStacks.push(series.stackKey);
// Adjust to threshold. This code is duplicated from the parent getSeriesExtremes method.
if (typeof threshold === 'number') {
if (axis.dataMin >= threshold) {
axis.dataMin = threshold;
axis.ignoreMinPadding = true;
} else if (axis.dataMax < threshold) {
axis.dataMax = threshold;
axis.ignoreMaxPadding = true;
}
}
});
});
// 1 - set default options
defaultPlotOptions.waterfall = merge(defaultPlotOptions.column, {
lineWidth: 1,
lineColor: '#333',
dashStyle: 'dot',
borderColor: '#333'
});
// 2 - Create the series object
seriesTypes.waterfall = extendClass(seriesTypes.column, {
type: 'waterfall',
upColorProp: 'fill',
pointArrayMap: ['y', 'low'],
pointValKey: 'y',
/**
* Init waterfall series, force stacking
*/
init: function (chart, options) {
options.stacking = true;
seriesTypes.column.prototype.init.call(this, chart, options);
},
/**
* Translate data points from raw values
*/
translate: function () {
var series = this,
options = series.options,
axis = series.yAxis,
len,
i,
points,
point,
shapeArgs,
sum,
sumStart,
subSum,
subSumStart,
edges,
cumulative,
prevStack,
prevY,
stack,
crispCorr = (options.borderWidth % 2) / 2;
// run column series translate
seriesTypes.column.prototype.translate.apply(this);
points = this.points;
subSumStart = sumStart = points[0];
sum = subSum = points[0].y;
for (i = 1, len = points.length; i < len; i++) {
// cache current point object
point = points[i];
shapeArgs = point.shapeArgs;
// get current and previous stack
stack = series.getStack(i);
prevStack = series.getStack(i - 1);
prevY = series.getStackY(prevStack);
// set new intermediate sum values after reset
if (subSumStart === null) {
subSumStart = point;
subSum = 0;
}
// sum only points with value, not intermediate or total sum
if (point.y && !point.isSum && !point.isIntermediateSum) {
sum += point.y;
subSum += point.y;
}
// calculate sum points
if (point.isSum || point.isIntermediateSum) {
if (point.isIntermediateSum) {
edges = series.getSumEdges(subSumStart, points[i - 1]);
point.y = subSum;
subSumStart = null;
} else {
edges = series.getSumEdges(sumStart, points[i - 1]);
point.y = sum;
}
shapeArgs.y = point.plotY = edges[1];
shapeArgs.height = edges[0] - edges[1];
// calculate other (up or down) points based on y value
} else {
// use "_cum" instead of already calculated "cum" to avoid reverse ordering negative columns
cumulative = stack._cum === null ? prevStack.total : stack._cum;
stack._cum = cumulative + point.y;
if (point.y < 0) {
shapeArgs.y = mathCeil(axis.translate(cumulative, 0, 1)) - crispCorr;
shapeArgs.height = mathCeil(axis.translate(stack._cum, 0, 1) - shapeArgs.y);
} else {
if (prevStack.total + point.y < 0) {
shapeArgs.y = axis.translate(stack._cum, 0, 1);
}
shapeArgs.height = mathFloor(prevY - shapeArgs.y);
}
}
}
},
/**
* Call default processData then override yData to reflect waterfall's extremes on yAxis
*/
processData: function (force) {
Series.prototype.processData.call(this, force);
var series = this,
options = series.options,
yData = series.yData,
length = yData.length,
prev,
curr,
subSum,
sum,
i;
prev = sum = subSum = options.threshold;
for (i = 0; i < length; i++) {
curr = yData[i];
// processed yData only if it's not already processed
if (curr !== null && typeof curr !== 'number') {
if (curr === "sum") {
yData[i] = null;
} else if (curr === "intermediateSum") {
yData[i] = null;
subSum = prev;
} else {
yData[i] = curr[0];// + prev;
}
prev = yData[i];
}
}
},
/**
* Return [y, low] array, if low is not defined, it's replaced with null for further calculations
*/
toYData: function (pt) {
if (pt.isSum) {
return "sum";
} else if (pt.isIntermediateSum) {
return "intermediateSum";
}
return [pt.y];
},
/**
* Postprocess mapping between options and SVG attributes
*/
getAttribs: function () {
seriesTypes.column.prototype.getAttribs.apply(this, arguments);
var series = this,
options = series.options,
stateOptions = options.states,
upColor = options.upColor || series.color,
hoverColor = Highcharts.Color(upColor).brighten(0.1).get(),
seriesDownPointAttr = merge(series.pointAttr),
upColorProp = series.upColorProp;
seriesDownPointAttr[''][upColorProp] = upColor;
seriesDownPointAttr.hover[upColorProp] = stateOptions.hover.upColor || hoverColor;
seriesDownPointAttr.select[upColorProp] = stateOptions.select.upColor || upColor;
each(series.points, function (point) {
if (point.y > 0 && !point.color) {
point.pointAttr = seriesDownPointAttr;
point.color = upColor;
}
});
},
/**
* Draw columns' connector lines
*/<｜fim▁hole｜>
var data = this.data,
length = data.length,
lineWidth = this.options.lineWidth + this.options.borderWidth,
normalizer = mathRound(lineWidth) % 2 / 2,
path = [],
M = 'M',
L = 'L',
prevArgs,
pointArgs,
i,
d;
for (i = 1; i < length; i++) {
pointArgs = data[i].shapeArgs;
prevArgs = data[i - 1].shapeArgs;
d = [
M,
prevArgs.x + prevArgs.width, prevArgs.y + normalizer,
L,
pointArgs.x, prevArgs.y + normalizer
];
if (data[i - 1].y < 0) {
d[2] += prevArgs.height;
d[5] += prevArgs.height;
}
path = path.concat(d);
}
return path;
},
getStack: function (i) {
var axis = this.yAxis,
stacks = axis.stacks,
key = this.stackKey;
if (this.processedYData[i] < this.options.threshold) {
key = '-' + key;
}
return stacks[key][i];
},
getStackY: function (stack) {
return mathCeil(this.yAxis.translate(stack.total, null, true));
},
/**
* Return array of top and bottom position for sum column based on given edge points
*/
getSumEdges: function (pointA, pointB) {
var valueA,
valueB,
tmp,
threshold = this.options.threshold;
valueA = pointA.y >= threshold ? pointA.shapeArgs.y + pointA.shapeArgs.height : pointA.shapeArgs.y;
valueB = pointB.y >= threshold ? pointB.shapeArgs.y : pointB.shapeArgs.y + pointB.shapeArgs.height;
if (valueB > valueA) {
tmp = valueA;
valueA = valueB;
valueB = tmp;
}
return [valueA, valueB];
},
drawGraph: Series.prototype.drawGraph
});
/* ****************************************************************************
* End Waterfall series code *
*****************************************************************************/<｜fim▁end｜> | getGraphPath: function () { |
<|file_name|>dissimilaroriginwindow.rs<|end_file_name|><｜fim▁begin｜>/* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
use dom::bindings::codegen::Bindings::DissimilarOriginWindowBinding;
use dom::bindings::codegen::Bindings::DissimilarOriginWindowBinding::DissimilarOriginWindowMethods;
use dom::bindings::error::{Error, ErrorResult};
use dom::bindings::inheritance::Castable;
use dom::bindings::root::{Dom, DomRoot, MutNullableDom};
use dom::bindings::str::DOMString;
use dom::bindings::structuredclone::StructuredCloneData;
use dom::dissimilaroriginlocation::DissimilarOriginLocation;
use dom::globalscope::GlobalScope;
use dom::windowproxy::WindowProxy;
use dom_struct::dom_struct;
use ipc_channel::ipc;
use js::jsapi::{JSContext, HandleValue};
use js::jsval::{JSVal, UndefinedValue};
use msg::constellation_msg::PipelineId;
use script_traits::ScriptMsg;
use servo_url::ImmutableOrigin;
use servo_url::MutableOrigin;
use servo_url::ServoUrl;
/// Represents a dissimilar-origin `Window` that exists in another script thread.
///
/// Since the `Window` is in a different script thread, we cannot access it
/// directly, but some of its accessors (for example `window.parent`)
/// still need to function.
///
/// In `windowproxy.rs`, we create a custom window proxy for these windows,
/// that throws security exceptions for most accessors. This is not a replacement
/// for XOWs, but provides belt-and-braces security.
#[dom_struct]
pub struct DissimilarOriginWindow {
/// The global for this window.
globalscope: GlobalScope,
/// The window proxy for this window.
window_proxy: Dom<WindowProxy>,
/// The location of this window, initialized lazily.
location: MutNullableDom<DissimilarOriginLocation>,
}
<｜fim▁hole｜> #[allow(unsafe_code)]
pub fn new(
global_to_clone_from: &GlobalScope,
window_proxy: &WindowProxy,
) -> DomRoot<Self> {
let cx = global_to_clone_from.get_cx();
// Any timer events fired on this window are ignored.
let (timer_event_chan, _) = ipc::channel().unwrap();
let win = Box::new(Self {
globalscope: GlobalScope::new_inherited(
PipelineId::new(),
global_to_clone_from.devtools_chan().cloned(),
global_to_clone_from.mem_profiler_chan().clone(),
global_to_clone_from.time_profiler_chan().clone(),
global_to_clone_from.script_to_constellation_chan().clone(),
global_to_clone_from.scheduler_chan().clone(),
global_to_clone_from.resource_threads().clone(),
timer_event_chan,
global_to_clone_from.origin().clone(),
// FIXME(nox): The microtask queue is probably not important
// here, but this whole DOM interface is a hack anyway.
global_to_clone_from.microtask_queue().clone(),
),
window_proxy: Dom::from_ref(window_proxy),
location: Default::default(),
});
unsafe { DissimilarOriginWindowBinding::Wrap(cx, win) }
}
pub fn origin(&self) -> &MutableOrigin {
self.upcast::<GlobalScope>().origin()
}
}
impl DissimilarOriginWindowMethods for DissimilarOriginWindow {
// https://html.spec.whatwg.org/multipage/#dom-window
fn Window(&self) -> DomRoot<WindowProxy> {
DomRoot::from_ref(&*self.window_proxy)
}
// https://html.spec.whatwg.org/multipage/#dom-self
fn Self_(&self) -> DomRoot<WindowProxy> {
DomRoot::from_ref(&*self.window_proxy)
}
// https://html.spec.whatwg.org/multipage/#dom-frames
fn Frames(&self) -> DomRoot<WindowProxy> {
DomRoot::from_ref(&*self.window_proxy)
}
// https://html.spec.whatwg.org/multipage/#dom-parent
fn GetParent(&self) -> Option<DomRoot<WindowProxy>> {
// Steps 1-3.
if self.window_proxy.is_browsing_context_discarded() {
return None;
}
// Step 4.
if let Some(parent) = self.window_proxy.parent() {
return Some(DomRoot::from_ref(parent));
}
// Step 5.
Some(DomRoot::from_ref(&*self.window_proxy))
}
// https://html.spec.whatwg.org/multipage/#dom-top
fn GetTop(&self) -> Option<DomRoot<WindowProxy>> {
// Steps 1-3.
if self.window_proxy.is_browsing_context_discarded() {
return None;
}
// Steps 4-5.
Some(DomRoot::from_ref(self.window_proxy.top()))
}
// https://html.spec.whatwg.org/multipage/#dom-length
fn Length(&self) -> u32 {
// TODO: Implement x-origin length
0
}
// https://html.spec.whatwg.org/multipage/#dom-window-close
fn Close(&self) {
// TODO: Implement x-origin close
}
// https://html.spec.whatwg.org/multipage/#dom-window-closed
fn Closed(&self) -> bool {
// TODO: Implement x-origin close
false
}
#[allow(unsafe_code)]
// https://html.spec.whatwg.org/multipage/#dom-window-postmessage
unsafe fn PostMessage(&self, cx: *mut JSContext, message: HandleValue, origin: DOMString) -> ErrorResult {
// Step 3-5.
let origin = match &origin[..] {
"*" => None,
"/" => {
// TODO: Should be the origin of the incumbent settings object.
None
},
url => match ServoUrl::parse(&url) {
Ok(url) => Some(url.origin()),
Err(_) => return Err(Error::Syntax),
}
};
// Step 1-2, 6-8.
// TODO(#12717): Should implement the `transfer` argument.
let data = StructuredCloneData::write(cx, message)?;
// Step 9.
self.post_message(origin, data);
Ok(())
}
#[allow(unsafe_code)]
// https://html.spec.whatwg.org/multipage/#dom-opener
unsafe fn Opener(&self, _: *mut JSContext) -> JSVal {
// TODO: Implement x-origin opener
UndefinedValue()
}
#[allow(unsafe_code)]
// https://html.spec.whatwg.org/multipage/#dom-opener
unsafe fn SetOpener(&self, _: *mut JSContext, _: HandleValue) {
// TODO: Implement x-origin opener
}
// https://html.spec.whatwg.org/multipage/#dom-window-blur
fn Blur(&self) {
// TODO: Implement x-origin blur
}
// https://html.spec.whatwg.org/multipage/#dom-focus
fn Focus(&self) {
// TODO: Implement x-origin focus
}
// https://html.spec.whatwg.org/multipage/#dom-location
fn Location(&self) -> DomRoot<DissimilarOriginLocation> {
self.location.or_init(|| DissimilarOriginLocation::new(self))
}
}
impl DissimilarOriginWindow {
pub fn post_message(&self, origin: Option<ImmutableOrigin>, data: StructuredCloneData) {
let msg = ScriptMsg::PostMessage(self.window_proxy.browsing_context_id(),
origin,
data.move_to_arraybuffer());
let _ = self.upcast::<GlobalScope>().script_to_constellation_chan().send(msg);
}
}<｜fim▁end｜> | impl DissimilarOriginWindow { |
<|file_name|>xregexp.d.ts<|end_file_name|><｜fim▁begin｜>// Type definitions for XRegExp 3.0.0
// Project: http://xregexp.com
// Definitions by: Bart van der Schoor <https://github.com/Bartvds>,
// Johannes Fahrenkrug <https://github.com/jfahrenkrug>
// Definitions: https://github.com/borisyankov/DefinitelyTyped
declare module 'xregexp' {
function OuterXRegExp(pattern: string, flags?: string): RegExp;
function OuterXRegExp(pattern: RegExp): RegExp;
namespace OuterXRegExp {
// scopes: 'default', 'class', or 'all'
/*
Native flags:
g - global
i - ignore case
m - multiline anchors
y - sticky (Firefox 3+)
Additional XRegExp flags:
n - explicit capture
s - dot matches all (aka singleline)<｜fim▁hole｜> x - free-spacing and line comments (aka extended)
*/
interface TokenOpts {
scope?: string;
trigger?: () => boolean;
customFlags?: string;
}
function XRegExp(pattern: string, flags?: string): RegExp;
function XRegExp(pattern: RegExp): RegExp;
/* Since xregexp 3.0.0 can be used either via
import X = require('xregexp');
X();
or via
import XRegExp = X.XRegExp;
XRegExp()
I had to duplicate the function declarations. I could simply not
find another way to accomplish this with TypeScript.
*/
// begin API definitions
function addToken(regex: RegExp, handler: (matchArr: RegExpExecArray, scope: string) => string, options?: TokenOpts): void;
function build(pattern: string, subs: string[], flags?: string): RegExp;
function cache(pattern: string, flags?: string): RegExp;
function escape(str: string): string;
function exec(str: string, regex: RegExp, pos?: number, sticky?: boolean): RegExpExecArray;
function forEach(str: string, regex: RegExp, callback: (matchArr: RegExpExecArray, index: number, input: string, regexp: RegExp) => void): any;
function globalize(regex: RegExp): RegExp;
function install(options: string): void;
function install(options: Object): void;
function isInstalled(feature: string): boolean;
function isRegExp(value: any): boolean;
function match(str: string, regex: RegExp, scope: string): any;
function match(str: string, regex: RegExp, scope: "one"): string;
function match(str: string, regex: RegExp, scope: "all"): string[];
function match(str: string, regex: RegExp): string[];
function matchChain(str: string, chain: RegExp[]): string[];
function matchChain(str: string, chain: { regex: RegExp; backref: string }[]): string[];
function matchChain(str: string, chain: { regex: RegExp; backref: number }[]): string[];
function matchRecursive(str: string, left: string, right: string, flags?: string, options?: Object): string[];
function replace(str: string, search: string, replacement: string, scope?: string): string;
function replace(str: string, search: string, replacement: Function, scope?: string): string;
function replace(str: string, search: RegExp, replacement: string, scope?: string): string;
function replace(str: string, search: RegExp, replacement: Function, scope?: string): string;
function replaceEach(str: string, replacements: Array<RegExp|string>[]): string;
function split(str: string, separator: string, limit?: number): string[];
function split(str: string, separator: RegExp, limit?: number): string[];
function test(str: string, regex: RegExp, pos?: number, sticky?: boolean): boolean;
function uninstall(options: Object): void;
function uninstall(options: string): void;
function union(patterns: string[], flags?: string): RegExp;
var version: string;
// end API definitions
namespace XRegExp {
// begin API definitions
function addToken(regex: RegExp, handler: (matchArr: RegExpExecArray, scope: string) => string, options?: TokenOpts): void;
function build(pattern: string, subs: string[], flags?: string): RegExp;
function cache(pattern: string, flags?: string): RegExp;
function escape(str: string): string;
function exec(str: string, regex: RegExp, pos?: number, sticky?: boolean): RegExpExecArray;
function forEach(str: string, regex: RegExp, callback: (matchArr: RegExpExecArray, index: number, input: string, regexp: RegExp) => void): any;
function globalize(regex: RegExp): RegExp;
function install(options: string): void;
function install(options: Object): void;
function isInstalled(feature: string): boolean;
function isRegExp(value: any): boolean;
function match(str: string, regex: RegExp, scope: string): any;
function match(str: string, regex: RegExp, scope: "one"): string;
function match(str: string, regex: RegExp, scope: "all"): string[];
function match(str: string, regex: RegExp): string[];
function matchChain(str: string, chain: RegExp[]): string[];
function matchChain(str: string, chain: { regex: RegExp; backref: string }[]): string[];
function matchChain(str: string, chain: { regex: RegExp; backref: number }[]): string[];
function matchRecursive(str: string, left: string, right: string, flags?: string, options?: Object): string[];
function replace(str: string, search: string, replacement: string, scope?: string): string;
function replace(str: string, search: string, replacement: Function, scope?: string): string;
function replace(str: string, search: RegExp, replacement: string, scope?: string): string;
function replace(str: string, search: RegExp, replacement: Function, scope?: string): string;
function replaceEach(str: string, replacements: Array<RegExp|string>[]): string;
function split(str: string, separator: string, limit?: number): string[];
function split(str: string, separator: RegExp, limit?: number): string[];
function test(str: string, regex: RegExp, pos?: number, sticky?: boolean): boolean;
function uninstall(options: Object): void;
function uninstall(options: string): void;
function union(patterns: string[], flags?: string): RegExp;
var version: string;
// end API definitions
}
}
export = OuterXRegExp;
}<｜fim▁end｜> | |
<|file_name|>NISTNamedCurves.java<|end_file_name|><｜fim▁begin｜>package net.dirtyfilthy.bouncycastle.asn1.nist;
import net.dirtyfilthy.bouncycastle.asn1.DERObjectIdentifier;
import net.dirtyfilthy.bouncycastle.asn1.sec.SECNamedCurves;
import net.dirtyfilthy.bouncycastle.asn1.sec.SECObjectIdentifiers;
import net.dirtyfilthy.bouncycastle.asn1.x9.X9ECParameters;
import net.dirtyfilthy.bouncycastle.util.Strings;<｜fim▁hole｜>import java.util.Hashtable;
/**
* Utility class for fetching curves using their NIST names as published in FIPS-PUB 186-2
*/
public class NISTNamedCurves
{
static final Hashtable objIds = new Hashtable();
static final Hashtable names = new Hashtable();
static void defineCurve(String name, DERObjectIdentifier oid)
{
objIds.put(name, oid);
names.put(oid, name);
}
static
{
// TODO Missing the "K-" curves
defineCurve("B-571", SECObjectIdentifiers.sect571r1);
defineCurve("B-409", SECObjectIdentifiers.sect409r1);
defineCurve("B-283", SECObjectIdentifiers.sect283r1);
defineCurve("B-233", SECObjectIdentifiers.sect233r1);
defineCurve("B-163", SECObjectIdentifiers.sect163r2);
defineCurve("P-521", SECObjectIdentifiers.secp521r1);
defineCurve("P-384", SECObjectIdentifiers.secp384r1);
defineCurve("P-256", SECObjectIdentifiers.secp256r1);
defineCurve("P-224", SECObjectIdentifiers.secp224r1);
defineCurve("P-192", SECObjectIdentifiers.secp192r1);
}
public static X9ECParameters getByName(
String name)
{
DERObjectIdentifier oid = (DERObjectIdentifier)objIds.get(Strings.toUpperCase(name));
if (oid != null)
{
return getByOID(oid);
}
return null;
}
/**
* return the X9ECParameters object for the named curve represented by
* the passed in object identifier. Null if the curve isn't present.
*
* @param oid an object identifier representing a named curve, if present.
*/
public static X9ECParameters getByOID(
DERObjectIdentifier oid)
{
return SECNamedCurves.getByOID(oid);
}
/**
* return the object identifier signified by the passed in name. Null
* if there is no object identifier associated with name.
*
* @return the object identifier associated with name, if present.
*/
public static DERObjectIdentifier getOID(
String name)
{
return (DERObjectIdentifier)objIds.get(Strings.toUpperCase(name));
}
/**
* return the named curve name represented by the given object identifier.
*/
public static String getName(
DERObjectIdentifier oid)
{
return (String)names.get(oid);
}
/**
* returns an enumeration containing the name strings for curves
* contained in this structure.
*/
public static Enumeration getNames()
{
return objIds.keys();
}
}<｜fim▁end｜> |
import java.util.Enumeration; |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜># Natural Language Toolkit: Parsers
#
# Copyright (C) 2001-2016 NLTK Project
# Author: Steven Bird <[email protected]>
# Edward Loper <[email protected]>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
#
"""
NLTK Parsers
Classes and interfaces for producing tree structures that represent
the internal organization of a text. This task is known as "parsing"
the text, and the resulting tree structures are called the text's
"parses". Typically, the text is a single sentence, and the tree
structure represents the syntactic structure of the sentence.
However, parsers can also be used in other domains. For example,
parsers can be used to derive the morphological structure of the
morphemes that make up a word, or to derive the discourse structure
for a set of utterances.
Sometimes, a single piece of text can be represented by more than one
tree structure. Texts represented by more than one tree structure are
called "ambiguous" texts. Note that there are actually two ways in
which a text can be ambiguous:
- The text has multiple correct parses.
- There is not enough information to decide which of several
candidate parses is correct.
However, the parser module does *not* distinguish these two types of
ambiguity.
The parser module defines ``ParserI``, a standard interface for parsing
texts; and two simple implementations of that interface,
``ShiftReduceParser`` and ``RecursiveDescentParser``. It also contains
three sub-modules for specialized kinds of parsing:
- ``nltk.parser.chart`` defines chart parsing, which uses dynamic
programming to efficiently parse texts.
- ``nltk.parser.probabilistic`` defines probabilistic parsing, which
associates a probability with each parse.
"""
from nltk.parse.api import ParserI
from nltk.parse.chart import (ChartParser, SteppingChartParser, TopDownChartParser,
BottomUpChartParser, BottomUpLeftCornerChartParser,
LeftCornerChartParser)
from nltk.parse.featurechart import (FeatureChartParser, FeatureTopDownChartParser,
FeatureBottomUpChartParser,
FeatureBottomUpLeftCornerChartParser)
from nltk.parse.earleychart import (IncrementalChartParser, EarleyChartParser,
IncrementalTopDownChartParser,
IncrementalBottomUpChartParser,
IncrementalBottomUpLeftCornerChartParser,
IncrementalLeftCornerChartParser,
FeatureIncrementalChartParser,
FeatureEarleyChartParser,
FeatureIncrementalTopDownChartParser,
FeatureIncrementalBottomUpChartParser,
FeatureIncrementalBottomUpLeftCornerChartParser)
from nltk.parse.pchart import (BottomUpProbabilisticChartParser, InsideChartParser,
RandomChartParser, UnsortedChartParser,
LongestChartParser)
from nltk.parse.recursivedescent import (RecursiveDescentParser,
SteppingRecursiveDescentParser)
from nltk.parse.shiftreduce import (ShiftReduceParser, SteppingShiftReduceParser)
<｜fim▁hole｜>from nltk.parse.projectivedependencyparser import (ProjectiveDependencyParser,
ProbabilisticProjectiveDependencyParser)
from nltk.parse.nonprojectivedependencyparser import (NonprojectiveDependencyParser,
NaiveBayesDependencyScorer,
ProbabilisticNonprojectiveParser)
from nltk.parse.malt import MaltParser
from nltk.parse.evaluate import DependencyEvaluator
from nltk.parse.transitionparser import TransitionParser
from nltk.parse.bllip import BllipParser<｜fim▁end｜> | from nltk.parse.util import load_parser, TestGrammar, extract_test_sentences
from nltk.parse.viterbi import ViterbiParser
from nltk.parse.dependencygraph import DependencyGraph
|
<|file_name|>gonzo.py<|end_file_name|><｜fim▁begin｜># GONZO: A PYTHON SCRIPT TO RECORD PHP ERRORS INTO MONGO
# Michael Vendivel - [email protected]
import subprocess
import datetime
from pymongo import MongoClient
# where's the log file
filename = '/path/to/php/logs.log'
# set up mongo client
client = MongoClient('mongo.server.address', 27017)
# which DB<｜fim▁hole｜>php_logs = db.php_logs
# open a subprocess to tail (and follow) the log file
f = subprocess.Popen(['tail','-f',filename],\
stdout=subprocess.PIPE,stderr=subprocess.PIPE)
# continue to read the file and record lines into mongo
while True:
# read line by line
line = f.stdout.readline()
# compose the document to be inserted
post = {"line": line,
"created": datetime.datetime.utcnow()
}
# insert the document into the Collection
post_id = php_logs.insert(post)
# output the line for visual debugging (optional)
print line<｜fim▁end｜> | db = client.logs
# which Collection |
<|file_name|>rpc_createmultisig.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python3
# Copyright (c) 2015-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test transaction signing using the signrawtransaction* RPCs."""
from test_framework.test_framework import BitcoinTestFramework
import decimal
class RpcCreateMultiSigTest(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 3
def get_keys(self):
node0,node1,node2 = self.nodes
self.add = [node1.getnewaddress() for _ in range(self.nkeys)]
self.pub = [node1.getaddressinfo(a)["pubkey"] for a in self.add]
self.priv = [node1.dumpprivkey(a) for a in self.add]
self.final = node2.getnewaddress()
def run_test(self):
node0,node1,node2 = self.nodes
# 50 BTC each, rest will be 25 BTC each
node0.generate(149)
self.sync_all()
self.moved = 0
for self.nkeys in [3,5]:
for self.nsigs in [2,3]:
for self.output_type in ["bech32", "p2sh-segwit", "legacy"]:
self.get_keys()
self.do_multisig()
self.checkbalances()
def checkbalances(self):
node0,node1,node2 = self.nodes
node0.generate(100)
self.sync_all()
bal0 = node0.getbalance()
bal1 = node1.getbalance()
bal2 = node2.getbalance()
height = node0.getblockchaininfo()["blocks"]
assert 150 < height < 350
total = 149*50 + (height-149-100)*25
assert bal1 == 0
assert bal2 == self.moved
assert bal0+bal1+bal2 == total
def do_multisig(self):
node0,node1,node2 = self.nodes
msig = node2.createmultisig(self.nsigs, self.pub, self.output_type)
madd = msig["address"]
mredeem = msig["redeemScript"]
if self.output_type == 'bech32':
assert madd[0:4] == "bcrt" # actually a bech32 address
# compare against addmultisigaddress
msigw = node1.addmultisigaddress(self.nsigs, self.pub, None, self.output_type)
maddw = msigw["address"]
mredeemw = msigw["redeemScript"]
# addmultisigiaddress and createmultisig work the same
assert maddw == madd
assert mredeemw == mredeem
txid = node0.sendtoaddress(madd, 40)
tx = node0.getrawtransaction(txid, True)
vout = [v["n"] for v in tx["vout"] if madd in v["scriptPubKey"].get("addresses",[])]
assert len(vout) == 1
vout = vout[0]
scriptPubKey = tx["vout"][vout]["scriptPubKey"]["hex"]
value = tx["vout"][vout]["value"]
prevtxs = [{"txid": txid, "vout": vout, "scriptPubKey": scriptPubKey, "redeemScript": mredeem, "amount": value}]
node0.generate(1)
outval = value - decimal.Decimal("0.00001000")
rawtx = node2.createrawtransaction([{"txid": txid, "vout": vout}], [{self.final: outval}])
rawtx2 = node2.signrawtransactionwithkey(rawtx, self.priv[0:self.nsigs-1], prevtxs)
rawtx3 = node2.signrawtransactionwithkey(rawtx2["hex"], [self.priv[-1]], prevtxs)
self.moved += outval
tx = node0.sendrawtransaction(rawtx3["hex"], True)<｜fim▁hole｜> txinfo = node0.getrawtransaction(tx, True, blk)
self.log.info("n/m=%d/%d %s size=%d vsize=%d weight=%d" % (self.nsigs, self.nkeys, self.output_type, txinfo["size"], txinfo["vsize"], txinfo["weight"]))
if __name__ == '__main__':
RpcCreateMultiSigTest().main()<｜fim▁end｜> | blk = node0.generate(1)[0]
assert tx in node0.getblock(blk)["tx"]
|
<|file_name|>test_coordination.py<|end_file_name|><｜fim▁begin｜># Copyright 2015 Intel
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import inspect
import mock
import tooz.coordination
import tooz.locking
from compute_hyperv.nova import coordination
from compute_hyperv.tests.unit import test_base
if hasattr(inspect, 'getfullargspec'):
getargspec = inspect.getfullargspec
else:
getargspec = inspect.getargspec
class Locked(Exception):
pass
class MockToozLock(tooz.locking.Lock):
active_locks = set()
def acquire(self, blocking=True):
if self.name not in self.active_locks:
self.active_locks.add(self.name)
return True
elif not blocking:
return False
else:
raise Locked
def release(self):
self.active_locks.remove(self.name)
@mock.patch('tooz.coordination.get_coordinator')
class CoordinatorTestCase(test_base.HyperVBaseTestCase):
MOCK_TOOZ = False
def test_coordinator_start(self, get_coordinator):
crd = get_coordinator.return_value
agent = coordination.Coordinator()
agent.start()
self.assertTrue(get_coordinator.called)<｜fim▁hole｜> crd = get_coordinator.return_value
agent = coordination.Coordinator()
agent.start()
self.assertIsNotNone(agent.coordinator)
agent.stop()
self.assertTrue(crd.stop.called)
self.assertIsNone(agent.coordinator)
def test_coordinator_lock(self, get_coordinator):
crd = get_coordinator.return_value
crd.get_lock.side_effect = lambda n: MockToozLock(n)
agent1 = coordination.Coordinator()
agent1.start()
agent2 = coordination.Coordinator()
agent2.start()
lock_name = 'lock'
expected_name = lock_name.encode('ascii')
self.assertNotIn(expected_name, MockToozLock.active_locks)
with agent1.get_lock(lock_name):
self.assertIn(expected_name, MockToozLock.active_locks)
self.assertRaises(Locked, agent1.get_lock(lock_name).acquire)
self.assertRaises(Locked, agent2.get_lock(lock_name).acquire)
self.assertNotIn(expected_name, MockToozLock.active_locks)
def test_coordinator_offline(self, get_coordinator):
crd = get_coordinator.return_value
crd.start.side_effect = tooz.coordination.ToozConnectionError('err')
agent = coordination.Coordinator()
self.assertRaises(tooz.coordination.ToozError, agent.start)
self.assertFalse(agent.started)
@mock.patch.object(coordination.COORDINATOR, 'get_lock')
class CoordinationTestCase(test_base.HyperVBaseTestCase):
def test_synchronized(self, get_lock):
@coordination.synchronized('lock-{f_name}-{foo.val}-{bar[val]}')
def func(foo, bar):
pass
foo = mock.Mock()
foo.val = 7
bar = mock.MagicMock()
bar.__getitem__.return_value = 8
func(foo, bar)
get_lock.assert_called_with('lock-func-7-8')
self.assertEqual(['foo', 'bar'], getargspec(func)[0])<｜fim▁end｜> | self.assertTrue(crd.start.called)
def test_coordinator_stop(self, get_coordinator): |
<|file_name|>auracite_web.rs<|end_file_name|><｜fim▁begin｜>#![feature(plugin)]
#![plugin(rocket_codegen)]
extern crate auracite;
extern crate rocket;<｜fim▁hole｜>use rocket::config::Config;
fn main() {
rocket::custom(config(), true)
.mount("/", routes![web::root::web_root, web::assets::static_asset])
.mount("/lodestone", routes![lodestone::rss, lodestone::jsonfeed])
.catch(errors![web::core::not_found])
.launch();
}
fn config() -> Config {
use rocket::config::*;
let env = Environment::active().unwrap();
let mut config = Config::build(env);
config = config.address("0.0.0.0");
let port = load_var("PORT", "8080");
if let Some(port) = port.parse().ok() {
config = config.port(port);
}
config.finalize().unwrap()
}<｜fim▁end｜> |
use auracite::{web, lodestone};
use auracite::env::load_var; |
<|file_name|>console.rs<|end_file_name|><｜fim▁begin｜>extern crate libc;
use self::libc::c_void;
use self::libc::{__errno_location, read, write, STDIN_FILENO, STDOUT_FILENO};
use containers::String;
use io::{Disposable, IoError, Stream};
use memory::{Page, Region};
pub struct Console {}
impl Console {
pub fn write(_pr: &Region, s: String) {
let _r = Region::create(_pr);
unsafe {
write(
STDOUT_FILENO,
s.to_c_string(_r.page) as *const c_void,
s.get_length(),
);
}
}
pub fn open_standard_output(_rp: *mut Page) -> *mut Stream {
unsafe { (*_rp).allocate(ConsoleStream {}) }<｜fim▁hole｜>
impl Disposable for ConsoleStream {
fn dispose(&self) {}
}
impl Stream for ConsoleStream {
fn read_byte(&mut self) -> Result<i32, IoError> {
let mut the_byte: u8 = 0;
unsafe {
let bytes_read = read(STDIN_FILENO, &mut the_byte as *mut u8 as *mut c_void, 1);
if bytes_read == -1 {
return Err(IoError {
error_code: (*__errno_location() as i32),
});
}
if bytes_read == 0 {
return Ok(-1);
}
}
Ok(the_byte as i32)
}
fn write_byte(&mut self, the_byte: u8) -> Result<(), IoError> {
unsafe {
let bytes_written = write(STDOUT_FILENO, &the_byte as *const u8 as *const c_void, 1);
if bytes_written == 1 {
Ok(())
} else {
Err(IoError {
error_code: (*__errno_location() as i32),
})
}
}
}
}
#[test]
fn test_console() {
use memory::Heap;
use memory::StackBucket;
let mut heap = Heap::create();
let root_stack_bucket = StackBucket::create(&mut heap);
let r1 = Region::create_from_page(Page::get(root_stack_bucket as usize));
{
let root_page = Page::get(root_stack_bucket as usize);
Console::write(&r1, String::from_string_slice(root_page, "Scaly>"));
// let stdout = Console::open_standard_output(root_page);
// unsafe {
// let byte1 = (*stdout).read_byte();
// let byte2 = (*stdout).read_byte();
// let byte3 = (*stdout).read_byte();
// (*stdout).write_byte(byte1);
// (*stdout).write_byte(byte2);
// (*stdout).write_byte(byte3);
// }
}
}<｜fim▁end｜> | }
}
pub struct ConsoleStream {} |
<|file_name|>collect_2.py<|end_file_name|><｜fim▁begin｜>import threading
import urllib2
import time, json
import requests
import os.path
#"284330,150810,09,1109,52,071040,17,28432,7406"
countrylist = ["brazil","canada","china","france","japan","india","mexico","russia","uk","us"]
yrs = ["2011","2012","2013","2014","2015"]
dataTable ={"284330":"gold","150810":"crude","09":"coffee","1109":"wheat","52":"cotton","071040":"corn","17":"sugar","28432":"silver","7406":"copper","271111":"natural gas"};
file_list = []
start = time.time()
urls = ["http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=76&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=124&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=156&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=251&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=392&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=699&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=484&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=643&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=826&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json",
"http://comtrade.un.org/api/get?max=50000&type=C&freq=A&px=HS&ps=2015,2014,2013,2012,2011&r=834&p=all&rg=2&cc=284330,150810,09,1109,52,071040,17,28432,7406,271111&fmt=json"]
def fetch_url(url, i):
file_name = "file_"+countrylist[i]+".json"
file_list.append(file_name)
response = requests.get(url, verify=False)
data = response.json()
if not os.path.isfile("./"+file_name):
with open(file_name, 'w') as outfile:
json.dump(data["dataset"], outfile)
print "'%s\' fetched in %ss" % (url, (time.time() - start))
#
threads = [threading.Thread(target=fetch_url, args=(urls[i],i,)) for i in range(0,len(urls)) ]
for thread in threads:
thread.start()
time.sleep(12)
for thread in threads:
thread.join()
#final data identifier
res_data = {}
for k in range(0,len(countrylist)):
with open(file_list[k],"r") as json_data:
data_json = json.load(json_data)
for j in range(0,len(data_json)):
if data_json[j]['yr'] == 2011:
a = (countrylist[k],"2011")
elif data_json[j]['yr'] == 2012:
a = (countrylist[k],"2012")
elif data_json[j]['yr'] == 2013:
a = (countrylist[k],"2013")
elif data_json[j]['yr'] == 2014:
a = (countrylist[k],"2014")
elif data_json[j]['yr'] == 2015:
a = (countrylist[k],"2015")
# insrt the key
a = "".join(a)
if a not in res_data.keys():
res_data[a] = []
if data_json[j]["ptTitle"].lower() not in countrylist:
continue
b = {}<｜fim▁hole｜> b["val"] = data_json[j]["TradeValue"]
res_data[a].append(b)
final_file_name = "exportData.json"
if not os.path.isfile("./"+final_file_name):
with open(final_file_name, 'w') as outfile:
json.dump(res_data, outfile)
#for i in range(0,len(file_list)):
print "Elapsed Time: %s" % (time.time() - start)<｜fim▁end｜> | b["country"] = data_json[j]["ptTitle"].lower()
b["commodity"] = dataTable[str(data_json[j]["cmdCode"])] |
<|file_name|>ConnectionInfo.java<|end_file_name|><｜fim▁begin｜>/**
* Copyright (C) 2011, 2012 Commission Junction Inc.
*
* This file is part of httpobjects.
*
* httpobjects is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2, or (at your option)
* any later version.
*
* httpobjects is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with httpobjects; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
* 02110-1301 USA.
*
* Linking this library statically or dynamically with other modules is
* making a combined work based on this library. Thus, the terms and
* conditions of the GNU General Public License cover the whole
* combination.
*
* As a special exception, the copyright holders of this library give you
* permission to link this library with independent modules to produce an
* executable, regardless of the license terms of these independent
* modules, and to copy and distribute the resulting executable under
* terms of your choice, provided that you also meet, for each linked
* independent module, the terms and conditions of the license of that
* module. An independent module is a module which is not derived from
* or based on this library. If you modify this library, you may extend
* this exception to your version of the library, but you are not
* obligated to do so. If you do not wish to do so, delete this
* exception statement from your version.
*/
package org.httpobjects;
public class ConnectionInfo {<｜fim▁hole｜>// String protocolVersion
// String protocol;
public final String localAddress;
public final Integer localPort;
public final String remoteAddress;
public final Integer remotePort;
public ConnectionInfo(String localAddress, Integer localPort, String remoteAddress, Integer remotePort) {
super();
this.localAddress = notNull(localAddress);
this.localPort = notNull(localPort);
this.remoteAddress = notNull(remoteAddress);
this.remotePort = notNull(remotePort);
}
private static <T> T notNull(T value){
if(value==null) throw new IllegalArgumentException("Null not allowed");
return value;
}
public String show() {
return "ConnectionInfo(" +
"localAddress = " + localAddress + "," +
"localPort = " + localPort + "," +
"remoteAddress = " + remoteAddress + "," +
"remotePort = " + remotePort + ")";
}
public boolean eq(ConnectionInfo that) {
return this.show().equals(that.show());
}
}<｜fim▁end｜> | |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ConfigParser
import os
import sys
import utils
## Create global names and functions ##
# Load file locations and configuration options
site_list_location = os.path.dirname(__file__) + '/sitelist.txt'
parser = ConfigParser.RawConfigParser()
parser.read(os.path.dirname(__file__) + '/config.cfg')
general = dict(parser.items('general'))
gmail_account = dict(parser.items('gmail_account'))
write_error = parser.getboolean('logging', 'log_errors')
write_change = parser.getboolean('logging', 'log_changes')
write_unchanged = parser.getboolean('logging', 'log_unchanged')
receiver = parser.get('mailing', 'mail_receivers')
mail_error = parser.getboolean('mailing', 'send_errors')
mail_change = parser.getboolean('mailing', 'send_changes')
# Name of this tool
tool_name = 'Dynamic DNS Updater'
# Tracks if a logger was created
logger = False<｜fim▁hole｜># Tracks if a mailer was created
mailer = False
# Dictionary of error codes and their corresponding messages
error_messages = {
'invalid_login' : 'Your Gmail username or password is incorrect.',
'logger_missing' : 'Problem writing to log file.',
'read_cache' : 'Problem reading from IP cache.',
'read_sitelist' : 'Problem reading the sitelist.',
'empty_url' : 'You have not provided an update URL.',
'check_ip' : 'Problem checking your IP address.',
'update_dns' : 'Problem updating your Dynamic DNS.'
}
# Handles logging and mailing of errors, as enabled by the user
def error_processor(code):
if write_error and logger: logger.log_error(error_messages[code])
if mail_error and mailer:
mailer.send_error(receiver, error_messages[code])
print '%s: Error - %s' % (tool_name, error_messages[code])
sys.exit()
## Create instances of utility classes ##
# Only create logger object if the user has chosen to log an event
if write_error or write_change or write_unchanged:
try: logger = utils.logger.Logger(general['log_file'])
except: logger = False
# Only create mailer object if user has chosen to mail an event
if mail_error or mail_change:
try: mailer = utils.mailer.Mailer(
gmail_account['gmail_user'],
gmail_account['gmail_password'])
except: error_processor('invalid_login')
# Notify user by mail that initializing a logger has failed, if they
# enabled any logging of events
if not logger and mailer:
if write_error or write_change or write_unchanged:
error_processor('logger_missing')
try: cacher = utils.cacher.Cacher(general['ip_cache_file'])
except: error_processor('read_cache')
try: checker = utils.checker.Checker(site_list_location)
except: error_processor('read_sitelist')
try: updater = utils.updater.Updater(general['update_urls'])
except: error_processor('empty_url')
## Main ##
old_ip = cacher.get_ip()
try: current_ip = checker.get_ip()
except: error_processor('check_ip')
# If IP has not changed, exit the program
if old_ip == current_ip:
if write_unchanged:
logger.log_no_change(old_ip)
print '%s: %s remains unchanged.' % (tool_name, old_ip)
sys.exit()
try: updater.update_dns()
except: error_processor('update_dns')
cacher.store_ip(current_ip)
print '%s: %s has been updated to %s' % (tool_name, old_ip, current_ip)
if write_change: logger.log_change(old_ip, current_ip)
if mail_change and mailer:
mailer.send_change(receiver, old_ip, current_ip)<｜fim▁end｜> | |
<|file_name|>test_parser.py<|end_file_name|><｜fim▁begin｜>import unittest
from hamlpy.parser.core import (
ParseException,
Stream,
peek_indentation,
read_line,
read_number,
read_quoted_string,
read_symbol,
read_whitespace,
read_word,
)
from hamlpy.parser.utils import html_escape
class ParserTest(unittest.TestCase):
def test_read_whitespace(self):
stream = Stream(" \t foo \n bar ")
assert read_whitespace(stream) == " \t "
assert stream.text[stream.ptr :] == "foo \n bar "
stream.ptr += 3 # skip over foo
assert read_whitespace(stream) == " "
assert stream.text[stream.ptr :] == "\n bar "
assert read_whitespace(stream, include_newlines=True) == "\n "
assert stream.text[stream.ptr :] == "bar "
stream.ptr += 3 # skip over bar
assert read_whitespace(stream) == " "
assert stream.text[stream.ptr :] == ""
<｜fim▁hole｜> assert peek_indentation(Stream("content")) == 0
assert peek_indentation(Stream(" content")) == 2
assert peek_indentation(Stream("\n")) is None
assert peek_indentation(Stream(" \n")) is None
def test_quoted_string(self):
stream = Stream("'hello'---")
assert read_quoted_string(stream) == "hello"
assert stream.text[stream.ptr :] == "---"
stream = Stream('"this don\'t \\"x\\" hmm" not in string')
assert read_quoted_string(stream) == 'this don\'t "x" hmm'
assert stream.text[stream.ptr :] == " not in string"
self.assertRaises(ParseException, read_quoted_string, Stream('"no end quote...'))
def test_read_line(self):
stream = Stream("line1\n line2\n\nline4\n\n")
assert read_line(stream) == "line1"
assert read_line(stream) == " line2"
assert read_line(stream) == ""
assert read_line(stream) == "line4"
assert read_line(stream) == ""
assert read_line(stream) is None
assert read_line(Stream("last line ")) == "last line "
def test_read_number(self):
stream = Stream('123"')
assert read_number(stream) == "123"
assert stream.text[stream.ptr :] == '"'
stream = Stream("123.4xx")
assert read_number(stream) == "123.4"
assert stream.text[stream.ptr :] == "xx"
stream = Stream("0.0001 ")
assert read_number(stream) == "0.0001"
assert stream.text[stream.ptr :] == " "
def test_read_symbol(self):
stream = Stream("=> bar")
assert read_symbol(stream, ["=>", ":"]) == "=>"
assert stream.text[stream.ptr :] == " bar"
self.assertRaises(ParseException, read_symbol, Stream("foo"), ["=>"])
def test_read_word(self):
stream = Stream("foo_bar")
assert read_word(stream) == "foo_bar"
assert stream.text[stream.ptr :] == ""
stream = Stream("foo_bar ")
assert read_word(stream) == "foo_bar"
assert stream.text[stream.ptr :] == " "
stream = Stream("ng-repeat(")
assert read_word(stream) == "ng"
assert stream.text[stream.ptr :] == "-repeat("
stream = Stream("ng-repeat(")
assert read_word(stream, ("-",)) == "ng-repeat"
assert stream.text[stream.ptr :] == "("
stream = Stream("これはテストです...")
assert read_word(stream) == "これはテストです"
assert stream.text[stream.ptr :] == "..."
class UtilsTest(unittest.TestCase):
def test_html_escape(self):
assert html_escape("") == ""
assert html_escape("&<>\"'") == "&<>"'"
assert html_escape('{% trans "hello" %}') == '{% trans "hello" %}'
assert html_escape('{{ foo|default:"hello" }}') == '{{ foo|default:"hello" }}'
assert html_escape("{% }} & %}") == "{% }} & %}"
result = html_escape('<>{% trans "hello" %}<>{{ foo|default:"hello" }}<>')
assert result == '<>{% trans "hello" %}<>{{ foo|default:"hello" }}<>'<｜fim▁end｜> | def test_peek_indentation(self): |
<|file_name|>RegisteredActivity.java<|end_file_name|><｜fim▁begin｜>package com.nguyenmanhtuan.benhandientu;
import android.app.Activity;
import android.content.Intent;
import android.content.res.Configuration;
import android.content.res.Resources;
import android.os.Bundle;
import android.util.DisplayMetrics;
import android.view.View;
import android.widget.Button;
import android.widget.TextView;
import java.util.HashMap;
import java.util.Locale;
import com.nguyenmanhtuan.utils.DatabaseHandler;
public class RegisteredActivity extends Activity {
private Locale myLocale;
/**
* Called when the activity is first created.
*/
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_registered);
DatabaseHandler db = new DatabaseHandler(getApplicationContext());
HashMap<String, String> user = new HashMap<String, String>();
user = db.getUserDetails();
/**
* Displays the registration details in Text view
**/
final TextView fname = (TextView) findViewById(R.id.fname);
final TextView lname = (TextView) findViewById(R.id.lname);
final TextView uname = (TextView) findViewById(R.id.uname);
final TextView email = (TextView) findViewById(R.id.email);
final TextView address = (TextView) findViewById(R.id.tvadd);
final TextView phonenumber = (TextView) findViewById(R.id.tvphone);
final TextView birthyear = (TextView) findViewById(R.id.tvBirthyear);
final TextView created_at = (TextView) findViewById(R.id.regat);
fname.setText(user.get("fname"));
lname.setText(user.get("lname"));
uname.setText(user.get("uname"));
email.setText(user.get("email"));<｜fim▁hole｜> address.setText(user.get("address"));
phonenumber.setText(user.get("phonenumber"));
birthyear.setText(user.get("birthyear"));
created_at.setText(user.get("created_at"));
Button login = (Button) findViewById(R.id.login);
login.setOnClickListener(new View.OnClickListener() {
public void onClick(View view) {
Intent myIntent = new Intent(view.getContext(), LoginActivity.class);
startActivityForResult(myIntent, 0);
finish();
}
});
}
public void setLocale(String lang) {
myLocale = new Locale(lang);
Resources res = getResources();
DisplayMetrics dm = res.getDisplayMetrics();
Configuration conf = res.getConfiguration();
conf.locale = myLocale;
res.updateConfiguration(conf, dm);
Intent refresh = new Intent(this, RegisteredActivity.class);
startActivity(refresh);
}
}<｜fim▁end｜> | |
<|file_name|>iter-any.rs<|end_file_name|><｜fim▁begin｜>// Copyright 2012 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
fn is_even(x: &uint) -> bool { (*x % 2) == 0 }
pub fn main() {
assert!(![1u, 3u].any(is_even));
assert!([1u, 2u].any(is_even));
assert!(![].any(is_even));
assert!(!old_iter::any(&Some(1u), is_even));<｜fim▁hole｜><｜fim▁end｜> | assert!(old_iter::any(&Some(2u), is_even));
assert!(!old_iter::any(&None::<uint>, is_even));
} |
<|file_name|>define.py<|end_file_name|><｜fim▁begin｜>import os
STIR_ROOT = os.path.normpath(os.path.dirname(__file__))
STIR_APP = os.path.normpath(os.path.join(STIR_ROOT, "application"))<｜fim▁hole｜># STIR_SCRIPT = os.path.normpath(os.path.join(STIR_ROOT, "script"))<｜fim▁end｜> | STIR_LIB = os.path.normpath(os.path.join(STIR_ROOT, "library")) |
<|file_name|>share.js<|end_file_name|><｜fim▁begin｜>'use strict';
var extend = require('../utils/extend');
var LoginTask = require('./login');
var IonicAppLib = require('ionic-app-lib');
var IonicProject = IonicAppLib.project;
var Share = IonicAppLib.share;
var log = IonicAppLib.logging.logger;
var Login = IonicAppLib.login;<｜fim▁hole｜> title: 'share',
name: 'share',
summary: 'Share an app with a client, co-worker, friend, or customer',
args: {
'<EMAIL>': 'The email to share the app with'
},
isProjectTask: true
};
function run(ionic, argv) {
var project;
if (argv._.length < 2) {
return appLibUtils.fail('Invalid command', 'share');
}
try {
project = IonicProject.load();
} catch (ex) {
appLibUtils.fail(ex.message);
return;
}
if (project.get('app_id') === '') {
return appLibUtils.fail('You must first upload the app to share it');
}
var email = argv._[1];
if (email.indexOf('@') < 0) {
return appLibUtils.fail('Invalid email address', 'share');
}
log.info(['Sharing app ', project.get('name'), ' (', project.get('app_id'), ') with ', email, '.'].join('').green);
return Login.retrieveLogin()
.then(function(jar) {
if (!jar) {
log.info('No previous login existed. Attempting to log in now.');
return LoginTask.login(argv);
}
return jar;
})
.then(function(jar) {
return Share.shareApp(process.cwd(), jar, email);
})
.catch(function(ex) {
return appLibUtils.fail(ex);
});
}
module.exports = extend(settings, {
run: run
});<｜fim▁end｜> | var appLibUtils = IonicAppLib.utils;
var settings = { |
<|file_name|>tripleSlashRefPathCompletionBackandForwardSlash.ts<|end_file_name|><｜fim▁begin｜>/// <reference path='fourslash.ts' />
// Exercises completions for hidden files (ie: those beginning with '.')
// @Filename: f.ts
//// /*f1*/
// @Filename: d1/g.ts
//// /*g1*/
// @Filename: d1/d2/h.ts
//// /*h1*/
// @Filename: d1/d2/d3/i.ts
//// /// <reference path=".\..\..\/*28*/
// @Filename: test.ts
//// /// <reference path="/*0*/
//// /// <reference path=".//*1*/
//// /// <reference path=".\/*2*/
//// /// <reference path="[|./*3*/|]
//// /// <reference path="d1//*4*/
//// /// <reference path="d1/.//*5*/
//// /// <reference path="d1/.\/*6*/
//// /// <reference path="d1/[|./*7*/|]
//// /// <reference path="d1\/*8*/
//// /// <reference path="d1\.//*9*/
//// /// <reference path="d1\.\/*10*/
//// /// <reference path="d1\[|./*11*/|]
//// /// <reference path="d1/d2//*12*/
//// /// <reference path="d1/d2/.//*13*/
//// /// <reference path="d1/d2/.\/*14*/
//// /// <reference path="d1/d2/[|./*15*/|]
//// /// <reference path="d1/d2\/*16*/
//// /// <reference path="d1/d2\.//*17*/
//// /// <reference path="d1/d2\.\/*18*/
//// /// <reference path="d1/d2\[|./*19*/|]
//// /// <reference path="d1\d2//*20*/
//// /// <reference path="d1\d2/.//*21*/
//// /// <reference path="d1\d2/.\/*22*/
//// /// <reference path="d1\d2/[|./*23*/|]<｜fim▁hole｜>//// /// <reference path="d1\d2\/*24*/
//// /// <reference path="d1\d2\.//*25*/
//// /// <reference path="d1\d2\.\/*26*/
//// /// <reference path="d1\d2\[|./*27*/|]
testBlock(0, 'f.ts', "d1");
testBlock(4, 'g.ts', "d2");
testBlock(8, 'g.ts', "d2");
testBlock(12, 'h.ts', "d3");
testBlock(16, 'h.ts', "d3");
testBlock(20, 'h.ts', "d3");
testBlock(24, 'h.ts', "d3");
verify.completions({ marker: "28", exact: ["g.ts", "d2"], isNewIdentifierLocation: true });
function testBlock(offset: number, fileName: string, dir: string) {
const names = [fileName, dir];
verify.completions(
{
marker: [offset, offset + 1, offset + 2].map(String),
exact: names,
isNewIdentifierLocation: true,
},
{
marker: String(offset + 3),
exact: names.map(name => ({ name, replacementSpan: test.ranges()[offset / 4] })),
isNewIdentifierLocation: true,
});
}<｜fim▁end｜> | |
<|file_name|>keyboard.rs<|end_file_name|><｜fim▁begin｜>//! Back-end agnostic keyboard keys.
use std::default::Default;
use std::cmp::Ordering;
use GenericEvent;
use Button;
// Defining every combination to allow assignment in static expressions.
bitflags!(
#[allow(missing_docs)]
#[derive(Deserialize, Serialize)]
pub struct ModifierKey: u8 {
/// No modifier.
const NO_MODIFIER = 0b00000000;
/// Ctrl.
const CTRL = 0b00000001;
/// Shift.
const SHIFT = 0b00000010;
/// Alt.
const ALT = 0b00000100;
/// Gui.
const GUI = 0b00001000;
/// Ctrl + Shift.
const CTRL_SHIFT = ModifierKey::CTRL.bits
| ModifierKey::SHIFT.bits;
/// Ctrl + Alt.
const CTRL_ALT = ModifierKey::CTRL.bits
| ModifierKey::ALT.bits;
/// Ctrl + Gui.
const CTRL_GUI = ModifierKey::CTRL.bits
| ModifierKey::GUI.bits;
/// Ctrl + Shift + Alt.
const CTRL_SHIFT_ALT = ModifierKey::CTRL.bits
| ModifierKey::SHIFT.bits
| ModifierKey::ALT.bits;
/// Ctrl + Shift + Gui.
const CTRL_SHIFT_GUI = ModifierKey::CTRL.bits
| ModifierKey::SHIFT.bits
| ModifierKey::GUI.bits;
/// Ctrl + Shift + Alt + Gui.
const CTRL_SHIFT_ALT_GUI = ModifierKey::CTRL.bits
| ModifierKey::SHIFT.bits
| ModifierKey::ALT.bits
| ModifierKey::GUI.bits;
/// Shift + Alt.
const SHIFT_ALT = ModifierKey::SHIFT.bits
| ModifierKey::ALT.bits;
/// Shift + Gui.
const SHIFT_GUI = ModifierKey::SHIFT.bits
| ModifierKey::GUI.bits;
/// Shift + Alt + Gui.
const SHIFT_ALT_GUI = ModifierKey::SHIFT.bits
| ModifierKey::ALT.bits
| ModifierKey::GUI.bits;
/// Alt + Gui.
const ALT_GUI = ModifierKey::ALT.bits
| ModifierKey::GUI.bits;
}
);
impl ModifierKey {
/// Change modifier key state depending on input.
///
/// If the left or side button is released, it counts as a release.
pub fn event<E: GenericEvent>(&mut self, e: &E) {
if let Some(button) = e.press_args() {
match button {
Button::Keyboard(Key::LCtrl) |
Button::Keyboard(Key::RCtrl) => self.insert(ModifierKey::CTRL),
Button::Keyboard(Key::LShift) |
Button::Keyboard(Key::RShift) => self.insert(ModifierKey::SHIFT),
Button::Keyboard(Key::LAlt) |
Button::Keyboard(Key::RAlt) => self.insert(ModifierKey::ALT),
Button::Keyboard(Key::LGui) |
Button::Keyboard(Key::RGui) => self.insert(ModifierKey::GUI),
_ => {}
}
}
if let Some(button) = e.release_args() {
match button {
Button::Keyboard(Key::LCtrl) |
Button::Keyboard(Key::RCtrl) => self.remove(ModifierKey::CTRL),
Button::Keyboard(Key::LShift) |
Button::Keyboard(Key::RShift) => self.remove(ModifierKey::SHIFT),
Button::Keyboard(Key::LAlt) |
Button::Keyboard(Key::RAlt) => self.remove(ModifierKey::ALT),
Button::Keyboard(Key::LGui) |
Button::Keyboard(Key::RGui) => self.remove(ModifierKey::GUI),
_ => {}
}
}
if let Some(false) = e.focus_args() {
*self = ModifierKey::NO_MODIFIER;
}
}
}
impl Default for ModifierKey {
fn default() -> ModifierKey {
ModifierKey::NO_MODIFIER
}
}
/// Represent a keyboard key.
/// Keycodes follows SDL http://wiki.libsdl.org/SDLKeycodeLookup
#[allow(missing_docs)]
#[derive(Copy, Clone, Deserialize, Serialize, Debug, Hash)]
pub enum Key {
Unknown = 0x00,
Backspace = 0x08,
Tab = 0x09,
Return = 0x0D,
Escape = 0x1B,
Space = 0x20,
Exclaim = 0x21,
Quotedbl = 0x22,
Hash = 0x23,
Dollar = 0x24,
Percent = 0x25,
Ampersand = 0x26,
Quote = 0x27,
LeftParen = 0x28,
RightParen = 0x29,
Asterisk = 0x2A,
Plus = 0x2B,
Comma = 0x2C,
Minus = 0x2D,
Period = 0x2E,
Slash = 0x2F,
D0 = 0x30,
D1 = 0x31,
D2 = 0x32,
D3 = 0x33,
D4 = 0x34,
D5 = 0x35,
D6 = 0x36,
D7 = 0x37,
D8 = 0x38,
D9 = 0x39,
Colon = 0x3A,
Semicolon = 0x3B,
Less = 0x3C,
Equals = 0x3D,
Greater = 0x3E,
Question = 0x3F,
At = 0x40,
LeftBracket = 0x5B,
Backslash = 0x5C,
RightBracket = 0x5D,
Caret = 0x5E,
Underscore = 0x5F,
Backquote = 0x60,
A = 0x61,
B = 0x62,
C = 0x63,
D = 0x64,
E = 0x65,
F = 0x66,
G = 0x67,
H = 0x68,
I = 0x69,
J = 0x6A,
K = 0x6B,
L = 0x6C,
M = 0x6D,
N = 0x6E,
O = 0x6F,
P = 0x70,
Q = 0x71,
R = 0x72,
S = 0x73,
T = 0x74,
U = 0x75,
V = 0x76,
W = 0x77,
X = 0x78,
Y = 0x79,
Z = 0x7A,
Delete = 0x7F,
CapsLock = 0x40000039,
F1 = 0x4000003A,
F2 = 0x4000003B,
F3 = 0x4000003C,
F4 = 0x4000003D,
F5 = 0x4000003E,
F6 = 0x4000003F,
F7 = 0x40000040,
F8 = 0x40000041,
F9 = 0x40000042,
F10 = 0x40000043,
F11 = 0x40000044,
F12 = 0x40000045,
PrintScreen = 0x40000046,
ScrollLock = 0x40000047,
Pause = 0x40000048,
Insert = 0x40000049,
Home = 0x4000004A,
PageUp = 0x4000004B,
End = 0x4000004D,
PageDown = 0x4000004E,
Right = 0x4000004F,
Left = 0x40000050,
Down = 0x40000051,
Up = 0x40000052,
NumLockClear = 0x40000053,
NumPadDivide = 0x40000054,
NumPadMultiply = 0x40000055,
NumPadMinus = 0x40000056,
NumPadPlus = 0x40000057,
NumPadEnter = 0x40000058,
NumPad1 = 0x40000059,
NumPad2 = 0x4000005A,
NumPad3 = 0x4000005B,
NumPad4 = 0x4000005C,
NumPad5 = 0x4000005D,
NumPad6 = 0x4000005E,
NumPad7 = 0x4000005F,
NumPad8 = 0x40000060,
NumPad9 = 0x40000061,
NumPad0 = 0x40000062,
NumPadPeriod = 0x40000063,
Application = 0x40000065,
Power = 0x40000066,
NumPadEquals = 0x40000067,
F13 = 0x40000068,
F14 = 0x40000069,
F15 = 0x4000006A,
F16 = 0x4000006B,
F17 = 0x4000006C,
F18 = 0x4000006D,
F19 = 0x4000006E,
F20 = 0x4000006F,
F21 = 0x40000070,
F22 = 0x40000071,
F23 = 0x40000072,
F24 = 0x40000073,
Execute = 0x40000074,
Help = 0x40000075,
Menu = 0x40000076,
Select = 0x40000077,
Stop = 0x40000078,
Again = 0x40000079,
Undo = 0x4000007A,
Cut = 0x4000007B,
Copy = 0x4000007C,
Paste = 0x4000007D,
Find = 0x4000007E,
Mute = 0x4000007F,
VolumeUp = 0x40000080,
VolumeDown = 0x40000081,
NumPadComma = 0x40000085,
NumPadEqualsAS400 = 0x40000086,
AltErase = 0x40000099,
Sysreq = 0x4000009A,
Cancel = 0x4000009B,
Clear = 0x4000009C,
Prior = 0x4000009D,
Return2 = 0x4000009E,
Separator = 0x4000009F,
Out = 0x400000A0,
Oper = 0x400000A1,
ClearAgain = 0x400000A2,
CrSel = 0x400000A3,
ExSel = 0x400000A4,
NumPad00 = 0x400000B0,
NumPad000 = 0x400000B1,
ThousandsSeparator = 0x400000B2,
DecimalSeparator = 0x400000B3,
CurrencyUnit = 0x400000B4,
CurrencySubUnit = 0x400000B5,
NumPadLeftParen = 0x400000B6,
NumPadRightParen = 0x400000B7,
NumPadLeftBrace = 0x400000B8,
NumPadRightBrace = 0x400000B9,
NumPadTab = 0x400000BA,
NumPadBackspace = 0x400000BB,
NumPadA = 0x400000BC,
NumPadB = 0x400000BD,
NumPadC = 0x400000BE,
NumPadD = 0x400000BF,
NumPadE = 0x400000C0,
NumPadF = 0x400000C1,
NumPadXor = 0x400000C2,
NumPadPower = 0x400000C3,
NumPadPercent = 0x400000C4,
NumPadLess = 0x400000C5,
NumPadGreater = 0x400000C6,
NumPadAmpersand = 0x400000C7,
NumPadDblAmpersand = 0x400000C8,
NumPadVerticalBar = 0x400000C9,
NumPadDblVerticalBar = 0x400000CA,
NumPadColon = 0x400000CB,
NumPadHash = 0x400000CC,
NumPadSpace = 0x400000CD,
NumPadAt = 0x400000CE,
NumPadExclam = 0x400000CF,
NumPadMemStore = 0x400000D0,
NumPadMemRecall = 0x400000D1,
NumPadMemClear = 0x400000D2,
NumPadMemAdd = 0x400000D3,
NumPadMemSubtract = 0x400000D4,
NumPadMemMultiply = 0x400000D5,
NumPadMemDivide = 0x400000D6,
NumPadPlusMinus = 0x400000D7,
NumPadClear = 0x400000D8,
NumPadClearEntry = 0x400000D9,
NumPadBinary = 0x400000DA,
NumPadOctal = 0x400000DB,
NumPadDecimal = 0x400000DC,
NumPadHexadecimal = 0x400000DD,
LCtrl = 0x400000E0,
LShift = 0x400000E1,
LAlt = 0x400000E2,
LGui = 0x400000E3,
RCtrl = 0x400000E4,
RShift = 0x400000E5,
RAlt = 0x400000E6,
RGui = 0x400000E7,
Mode = 0x40000101,
AudioNext = 0x40000102,
AudioPrev = 0x40000103,
AudioStop = 0x40000104,
AudioPlay = 0x40000105,
AudioMute = 0x40000106,
MediaSelect = 0x40000107,
Www = 0x40000108,
Mail = 0x40000109,
Calculator = 0x4000010A,
Computer = 0x4000010B,
AcSearch = 0x4000010C,
AcHome = 0x4000010D,
AcBack = 0x4000010E,
AcForward = 0x4000010F,
AcStop = 0x40000110,
AcRefresh = 0x40000111,
AcBookmarks = 0x40000112,
BrightnessDown = 0x40000113,
BrightnessUp = 0x40000114,
DisplaySwitch = 0x40000115,
KbdIllumToggle = 0x40000116,
KbdIllumDown = 0x40000117,
KbdIllumUp = 0x40000118,
Eject = 0x40000119,
Sleep = 0x4000011A,
}
impl From<u32> for Key {
fn from(val: u32) -> Key {
match val {
0x00 => Key::Unknown,
0x08 => Key::Backspace,
0x09 => Key::Tab,
0x0D => Key::Return,
0x1B => Key::Escape,
0x20 => Key::Space,
0x21 => Key::Exclaim,
0x22 => Key::Quotedbl,
0x23 => Key::Hash,
0x24 => Key::Dollar,
0x25 => Key::Percent,
0x26 => Key::Ampersand,
0x27 => Key::Quote,
0x28 => Key::LeftParen,
0x29 => Key::RightParen,
0x2A => Key::Asterisk,
0x2B => Key::Plus,
0x2C => Key::Comma,
0x2D => Key::Minus,
0x2E => Key::Period,
0x2F => Key::Slash,
0x30 => Key::D0,
0x31 => Key::D1,
0x32 => Key::D2,
0x33 => Key::D3,
0x34 => Key::D4,
0x35 => Key::D5,
0x36 => Key::D6,
0x37 => Key::D7,
0x38 => Key::D8,
0x39 => Key::D9,
0x3A => Key::Colon,
0x3B => Key::Semicolon,
0x3C => Key::Less,
0x3D => Key::Equals,
0x3E => Key::Greater,
0x3F => Key::Question,
0x40 => Key::At,
0x5B => Key::LeftBracket,
0x5C => Key::Backslash,
0x5D => Key::RightBracket,
0x5E => Key::Caret,
0x5F => Key::Underscore,
0x60 => Key::Backquote,
0x61 => Key::A,
0x62 => Key::B,
0x63 => Key::C,
0x64 => Key::D,
0x65 => Key::E,
0x66 => Key::F,
0x67 => Key::G,
0x68 => Key::H,
0x69 => Key::I,
0x6A => Key::J,
0x6B => Key::K,
0x6C => Key::L,
0x6D => Key::M,
0x6E => Key::N,
0x6F => Key::O,
0x70 => Key::P,
0x71 => Key::Q,
0x72 => Key::R,
0x73 => Key::S,
0x74 => Key::T,
0x75 => Key::U,
0x76 => Key::V,
0x77 => Key::W,
0x78 => Key::X,
0x79 => Key::Y,
0x7A => Key::Z,
0x7F => Key::Delete,
0x40000039 => Key::CapsLock,
0x4000003A => Key::F1,
0x4000003B => Key::F2,
0x4000003C => Key::F3,
0x4000003D => Key::F4,
0x4000003E => Key::F5,
0x4000003F => Key::F6,
0x40000040 => Key::F7,
0x40000041 => Key::F8,
0x40000042 => Key::F9,
0x40000043 => Key::F10,
0x40000044 => Key::F11,
0x40000045 => Key::F12,
0x40000046 => Key::PrintScreen,
0x40000047 => Key::ScrollLock,
0x40000048 => Key::Pause,
0x40000049 => Key::Insert,
0x4000004A => Key::Home,
0x4000004B => Key::PageUp,
0x4000004D => Key::End,
0x4000004E => Key::PageDown,
0x4000004F => Key::Right,
0x40000050 => Key::Left,
0x40000051 => Key::Down,
0x40000052 => Key::Up,
0x40000053 => Key::NumLockClear,
0x40000054 => Key::NumPadDivide,
0x40000055 => Key::NumPadMultiply,
0x40000056 => Key::NumPadMinus,
0x40000057 => Key::NumPadPlus,
0x40000058 => Key::NumPadEnter,
0x40000059 => Key::NumPad1,
0x4000005A => Key::NumPad2,
0x4000005B => Key::NumPad3,
0x4000005C => Key::NumPad4,
0x4000005D => Key::NumPad5,
0x4000005E => Key::NumPad6,
0x4000005F => Key::NumPad7,
0x40000060 => Key::NumPad8,
0x40000061 => Key::NumPad9,
0x40000062 => Key::NumPad0,
0x40000063 => Key::NumPadPeriod,
0x40000065 => Key::Application,
0x40000066 => Key::Power,
0x40000067 => Key::NumPadEquals,
0x40000068 => Key::F13,
0x40000069 => Key::F14,
0x4000006A => Key::F15,
0x4000006B => Key::F16,
0x4000006C => Key::F17,
0x4000006D => Key::F18,
0x4000006E => Key::F19,
0x4000006F => Key::F20,
0x40000070 => Key::F21,
0x40000071 => Key::F22,
0x40000072 => Key::F23,
0x40000073 => Key::F24,
0x40000074 => Key::Execute,
0x40000075 => Key::Help,
0x40000076 => Key::Menu,
0x40000077 => Key::Select,
0x40000078 => Key::Stop,
0x40000079 => Key::Again,
0x4000007A => Key::Undo,
0x4000007B => Key::Cut,
0x4000007C => Key::Copy,
0x4000007D => Key::Paste,
0x4000007E => Key::Find,
0x4000007F => Key::Mute,
0x40000080 => Key::VolumeUp,
0x40000081 => Key::VolumeDown,
0x40000085 => Key::NumPadComma,
0x40000086 => Key::NumPadEqualsAS400,
0x40000099 => Key::AltErase,
0x4000009A => Key::Sysreq,
0x4000009B => Key::Cancel,
0x4000009C => Key::Clear,
0x4000009D => Key::Prior,
0x4000009E => Key::Return2,
0x4000009F => Key::Separator,
0x400000A0 => Key::Out,
0x400000A1 => Key::Oper,
0x400000A2 => Key::ClearAgain,
0x400000A3 => Key::CrSel,
0x400000A4 => Key::ExSel,
0x400000B0 => Key::NumPad00,
0x400000B1 => Key::NumPad000,
0x400000B2 => Key::ThousandsSeparator,
0x400000B3 => Key::DecimalSeparator,
0x400000B4 => Key::CurrencyUnit,
0x400000B5 => Key::CurrencySubUnit,
0x400000B6 => Key::NumPadLeftParen,
0x400000B7 => Key::NumPadRightParen,
0x400000B8 => Key::NumPadLeftBrace,
0x400000B9 => Key::NumPadRightBrace,
0x400000BA => Key::NumPadTab,
0x400000BB => Key::NumPadBackspace,
0x400000BC => Key::NumPadA,
0x400000BD => Key::NumPadB,
0x400000BE => Key::NumPadC,
0x400000BF => Key::NumPadD,
0x400000C0 => Key::NumPadE,
0x400000C1 => Key::NumPadF,
0x400000C2 => Key::NumPadXor,
0x400000C3 => Key::NumPadPower,
0x400000C4 => Key::NumPadPercent,
0x400000C5 => Key::NumPadLess,
0x400000C6 => Key::NumPadGreater,
0x400000C7 => Key::NumPadAmpersand,
0x400000C8 => Key::NumPadDblAmpersand,
0x400000C9 => Key::NumPadVerticalBar,
0x400000CA => Key::NumPadDblVerticalBar,
0x400000CB => Key::NumPadColon,
0x400000CC => Key::NumPadHash,
0x400000CD => Key::NumPadSpace,
0x400000CE => Key::NumPadAt,
0x400000CF => Key::NumPadExclam,
0x400000D0 => Key::NumPadMemStore,
0x400000D1 => Key::NumPadMemRecall,
0x400000D2 => Key::NumPadMemClear,
0x400000D3 => Key::NumPadMemAdd,
0x400000D4 => Key::NumPadMemSubtract,
0x400000D5 => Key::NumPadMemMultiply,
0x400000D6 => Key::NumPadMemDivide,
0x400000D7 => Key::NumPadPlusMinus,
0x400000D8 => Key::NumPadClear,
0x400000D9 => Key::NumPadClearEntry,
0x400000DA => Key::NumPadBinary,
0x400000DB => Key::NumPadOctal,
0x400000DC => Key::NumPadDecimal,
0x400000DD => Key::NumPadHexadecimal,
0x400000E0 => Key::LCtrl,
0x400000E1 => Key::LShift,
0x400000E2 => Key::LAlt,
0x400000E3 => Key::LGui,
0x400000E4 => Key::RCtrl,
0x400000E5 => Key::RShift,
0x400000E6 => Key::RAlt,
0x400000E7 => Key::RGui,
0x40000101 => Key::Mode,
0x40000102 => Key::AudioNext,
0x40000103 => Key::AudioPrev,
0x40000104 => Key::AudioStop,
0x40000105 => Key::AudioPlay,
0x40000106 => Key::AudioMute,
0x40000107 => Key::MediaSelect,
0x40000108 => Key::Www,
0x40000109 => Key::Mail,
0x4000010A => Key::Calculator,
0x4000010B => Key::Computer,
0x4000010C => Key::AcSearch,
0x4000010D => Key::AcHome,
0x4000010E => Key::AcBack,
0x4000010F => Key::AcForward,
0x40000110 => Key::AcStop,
0x40000111 => Key::AcRefresh,
0x40000112 => Key::AcBookmarks,
0x40000113 => Key::BrightnessDown,
0x40000114 => Key::BrightnessUp,
0x40000115 => Key::DisplaySwitch,
0x40000116 => Key::KbdIllumToggle,
0x40000117 => Key::KbdIllumDown,
0x40000118 => Key::KbdIllumUp,
0x40000119 => Key::Eject,
0x4000011A => Key::Sleep,
_ => Key::Unknown,
}
}
}
impl PartialEq for Key {
fn eq(&self, other: &Key) -> bool {
return (*self as i32) == (*other as i32);
}
}
impl Eq for Key {}
impl PartialOrd for Key {
fn partial_cmp(&self, other: &Key) -> Option<Ordering> {
let (s_id, o_id) = (*self as i32, *other as i32);
s_id.partial_cmp(&o_id)
}
}
impl Ord for Key {
fn cmp(&self, other: &Key) -> Ordering {
let (s_id, o_id) = (*self as i32, *other as i32);
s_id.cmp(&o_id)
}
}
impl Key {
/// Returns an id of the key
#[inline(always)]
pub fn code(&self) -> i32 {
*self as i32
}
}
impl From<Key> for u32 {
#[inline(always)]<｜fim▁hole｜> }
}
#[cfg(test)]
mod tests {
#[test]
fn keycode() {
use super::Key;
use super::Key::*;
let keys = vec![Unknown,
Backspace,
Tab,
Return,
Escape,
Space,
Exclaim,
Quotedbl,
Hash,
Dollar,
Percent,
Ampersand,
Quote,
LeftParen,
RightParen,
Asterisk,
Plus,
Comma,
Minus,
Period,
Slash,
D0,
D1,
D2,
D3,
D4,
D5,
D6,
D7,
D8,
D9,
Colon,
Semicolon,
Less,
Equals,
Greater,
Question,
At,
LeftBracket,
Backslash,
RightBracket,
Caret,
Underscore,
Backquote,
A,
B,
C,
D,
E,
F,
G,
H,
I,
J,
K,
L,
M,
N,
O,
P,
Q,
R,
S,
T,
U,
V,
W,
X,
Y,
Z,
Delete,
CapsLock,
F1,
F2,
F3,
F4,
F5,
F6,
F7,
F8,
F9,
F10,
F11,
F12,
PrintScreen,
ScrollLock,
Pause,
Insert,
Home,
PageUp,
End,
PageDown,
Right,
Left,
Down,
Up,
NumLockClear,
NumPadDivide,
NumPadMultiply,
NumPadMinus,
NumPadPlus,
NumPadEnter,
NumPad1,
NumPad2,
NumPad3,
NumPad4,
NumPad5,
NumPad6,
NumPad7,
NumPad8,
NumPad9,
NumPad0,
NumPadPeriod,
Application,
Power,
NumPadEquals,
F13,
F14,
F15,
F16,
F17,
F18,
F19,
F20,
F21,
F22,
F23,
F24,
Execute,
Help,
Menu,
Select,
Stop,
Again,
Undo,
Cut,
Copy,
Paste,
Find,
Mute,
VolumeUp,
VolumeDown,
NumPadComma,
NumPadEqualsAS400,
AltErase,
Sysreq,
Cancel,
Clear,
Prior,
Return2,
Separator,
Out,
Oper,
ClearAgain,
CrSel,
ExSel,
NumPad00,
NumPad000,
ThousandsSeparator,
DecimalSeparator,
CurrencyUnit,
CurrencySubUnit,
NumPadLeftParen,
NumPadRightParen,
NumPadLeftBrace,
NumPadRightBrace,
NumPadTab,
NumPadBackspace,
NumPadA,
NumPadB,
NumPadC,
NumPadD,
NumPadE,
NumPadF,
NumPadXor,
NumPadPower,
NumPadPercent,
NumPadLess,
NumPadGreater,
NumPadAmpersand,
NumPadDblAmpersand,
NumPadVerticalBar,
NumPadDblVerticalBar,
NumPadColon,
NumPadHash,
NumPadSpace,
NumPadAt,
NumPadExclam,
NumPadMemStore,
NumPadMemRecall,
NumPadMemClear,
NumPadMemAdd,
NumPadMemSubtract,
NumPadMemMultiply,
NumPadMemDivide,
NumPadPlusMinus,
NumPadClear,
NumPadClearEntry,
NumPadBinary,
NumPadOctal,
NumPadDecimal,
NumPadHexadecimal,
LCtrl,
LShift,
LAlt,
LGui,
RCtrl,
RShift,
RAlt,
RGui,
Mode,
AudioNext,
AudioPrev,
AudioStop,
AudioPlay,
AudioMute,
MediaSelect,
Www,
Mail,
Calculator,
Computer,
AcSearch,
AcHome,
AcBack,
AcForward,
AcStop,
AcRefresh,
AcBookmarks,
BrightnessDown,
BrightnessUp,
DisplaySwitch,
KbdIllumToggle,
KbdIllumDown,
KbdIllumUp,
Eject,
Sleep];
for &key in &keys {
let val: u32 = key.into();
let key2: Key = val.into();
assert_eq!(key, key2);
}
}
}<｜fim▁end｜> | fn from(key: Key) -> u32 {
key as u32 |
<|file_name|>spark.py<|end_file_name|><｜fim▁begin｜># Copyright (c) 1998-2002 John Aycock
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
__version__ = 'SPARK-0.7 (pre-alpha-7) uncompyle trim'
def _namelist(instance):
namelist, namedict, classlist = [], {}, [instance.__class__]
for c in classlist:
for b in c.__bases__:
classlist.append(b)
for name in c.__dict__.keys():
if not namedict.has_key(name):
namelist.append(name)
namedict[name] = 1
return namelist
#
# Extracted from GenericParser and made global so that [un]picking works.
#
class _State:
def __init__(self, stateno, items):
self.T, self.complete, self.items = [], [], items
self.stateno = stateno
class GenericParser:
#
# An Earley parser, as per J. Earley, "An Efficient Context-Free
# Parsing Algorithm", CACM 13(2), pp. 94-102. Also J. C. Earley,
# "An Efficient Context-Free Parsing Algorithm", Ph.D. thesis,
# Carnegie-Mellon University, August 1968. New formulation of
# the parser according to J. Aycock, "Practical Earley Parsing
# and the SPARK Toolkit", Ph.D. thesis, University of Victoria,
# 2001, and J. Aycock and R. N. Horspool, "Practical Earley
# Parsing", unpublished paper, 2001.
#
def __init__(self, start):
self.rules = {}
self.rule2func = {}
self.rule2name = {}
self.collectRules()
self.augment(start)
self.ruleschanged = 1
_NULLABLE = '\e_'
_START = 'START'
_BOF = '|-'
#
# When pickling, take the time to generate the full state machine;
# some information is then extraneous, too. Unfortunately we
# can't save the rule2func map.
#
def __getstate__(self):
if self.ruleschanged:
#
# XXX - duplicated from parse()
#
self.computeNull()
self.newrules = {}
self.new2old = {}
self.makeNewRules()
self.ruleschanged = 0
self.edges, self.cores = {}, {}
self.states = { 0: self.makeState0() }
self.makeState(0, self._BOF)
#
# XXX - should find a better way to do this..
#
changes = 1
while changes:
changes = 0
for k, v in self.edges.items():
if v is None:
state, sym = k
if self.states.has_key(state):
self.goto(state, sym)
changes = 1
rv = self.__dict__.copy()
for s in self.states.values():
del s.items
del rv['rule2func']
del rv['nullable']
del rv['cores']
return rv
def __setstate__(self, D):
self.rules = {}
self.rule2func = {}
self.rule2name = {}
self.collectRules()
start = D['rules'][self._START][0][1][1] # Blech.
self.augment(start)
D['rule2func'] = self.rule2func
D['makeSet'] = self.makeSet_fast
self.__dict__ = D
#
# A hook for GenericASTBuilder and GenericASTMatcher. Mess
# thee not with this; nor shall thee toucheth the _preprocess
# argument to addRule.
#
def preprocess(self, rule, func): return rule, func
def addRule(self, doc, func, _preprocess=1):
fn = func
rules = doc.split()
index = []
for i in xrange(len(rules)):
if rules[i] == '::=':
index.append(i-1)
index.append(len(rules))
for i in xrange(len(index)-1):
lhs = rules[index[i]]
rhs = rules[index[i]+2:index[i+1]]
rule = (lhs, tuple(rhs))
if _preprocess:
rule, fn = self.preprocess(rule, func)
if self.rules.has_key(lhs):
self.rules[lhs].append(rule)
else:
self.rules[lhs] = [ rule ]
self.rule2func[rule] = fn
self.rule2name[rule] = func.__name__[2:]
self.ruleschanged = 1
def collectRules(self):
for name in _namelist(self):
if name[:2] == 'p_':
func = getattr(self, name)
doc = func.__doc__
self.addRule(doc, func)
def augment(self, start):
rule = '%s ::= %s %s' % (self._START, self._BOF, start)
self.addRule(rule, lambda args: args[1], 0)
def computeNull(self):
self.nullable = {}
tbd = []
for rulelist in self.rules.values():
lhs = rulelist[0][0]
self.nullable[lhs] = 0
for rule in rulelist:
rhs = rule[1]
if len(rhs) == 0:
self.nullable[lhs] = 1
continue
#
# We only need to consider rules which
# consist entirely of nonterminal symbols.
# This should be a savings on typical
# grammars.
#
for sym in rhs:
if not self.rules.has_key(sym):
break
else:
tbd.append(rule)
changes = 1
while changes:
changes = 0
for lhs, rhs in tbd:
if self.nullable[lhs]:
continue
for sym in rhs:
if not self.nullable[sym]:
break
else:
self.nullable[lhs] = 1
changes = 1
def makeState0(self):
s0 = _State(0, [])
for rule in self.newrules[self._START]:
s0.items.append((rule, 0))
return s0
def finalState(self, tokens):
#
# Yuck.
#
if len(self.newrules[self._START]) == 2 and len(tokens) == 0:
return 1
start = self.rules[self._START][0][1][1]
return self.goto(1, start)
def makeNewRules(self):
worklist = []
for rulelist in self.rules.values():
for rule in rulelist:
worklist.append((rule, 0, 1, rule))
for rule, i, candidate, oldrule in worklist:
lhs, rhs = rule
n = len(rhs)
while i < n:
sym = rhs[i]
if not self.rules.has_key(sym) or \
not self.nullable[sym]:
candidate = 0
i = i + 1
continue
newrhs = list(rhs)
newrhs[i] = self._NULLABLE+sym
newrule = (lhs, tuple(newrhs))
worklist.append((newrule, i+1,
candidate, oldrule))
candidate = 0
i = i + 1
else:
if candidate:
lhs = self._NULLABLE+lhs
rule = (lhs, rhs)
if self.newrules.has_key(lhs):
self.newrules[lhs].append(rule)
else:
self.newrules[lhs] = [ rule ]
self.new2old[rule] = oldrule
def typestring(self, token):
return None
def error(self, token):
print "Syntax error at or near `%s' token" % token
raise SystemExit
def parse(self, tokens):
sets = [ [(1,0), (2,0)] ]
self.links = {}
if self.ruleschanged:
self.computeNull()
self.newrules = {}
self.new2old = {}
self.makeNewRules()
self.ruleschanged = 0
self.edges, self.cores = {}, {}
self.states = { 0: self.makeState0() }
self.makeState(0, self._BOF)
for i in xrange(len(tokens)):
sets.append([])
if sets[i] == []:
break
self.makeSet(tokens[i], sets, i)
else:
sets.append([])
self.makeSet(None, sets, len(tokens))
finalitem = (self.finalState(tokens), 0)
if finalitem not in sets[-2]:
if len(tokens) > 0:
self.error(tokens[i-1])
else:
self.error(None)
return self.buildTree(self._START, finalitem,<｜fim▁hole｜> #
# For symbols in G_e only. If we weren't supporting 1.5,
# could just use sym.startswith().
#
return self._NULLABLE == sym[0:len(self._NULLABLE)]
def skip(self, (lhs, rhs), pos=0):
n = len(rhs)
while pos < n:
if not self.isnullable(rhs[pos]):
break
pos = pos + 1
return pos
def makeState(self, state, sym):
assert sym is not None
#
# Compute \epsilon-kernel state's core and see if
# it exists already.
#
kitems = []
for rule, pos in self.states[state].items:
lhs, rhs = rule
if rhs[pos:pos+1] == (sym,):
kitems.append((rule, self.skip(rule, pos+1)))
tcore = tuple(sorted(kitems))
if self.cores.has_key(tcore):
return self.cores[tcore]
#
# Nope, doesn't exist. Compute it and the associated
# \epsilon-nonkernel state together; we'll need it right away.
#
k = self.cores[tcore] = len(self.states)
K, NK = _State(k, kitems), _State(k+1, [])
self.states[k] = K
predicted = {}
edges = self.edges
rules = self.newrules
for X in K, NK:
worklist = X.items
for item in worklist:
rule, pos = item
lhs, rhs = rule
if pos == len(rhs):
X.complete.append(rule)
continue
nextSym = rhs[pos]
key = (X.stateno, nextSym)
if not rules.has_key(nextSym):
if not edges.has_key(key):
edges[key] = None
X.T.append(nextSym)
else:
edges[key] = None
if not predicted.has_key(nextSym):
predicted[nextSym] = 1
for prule in rules[nextSym]:
ppos = self.skip(prule)
new = (prule, ppos)
NK.items.append(new)
#
# Problem: we know K needs generating, but we
# don't yet know about NK. Can't commit anything
# regarding NK to self.edges until we're sure. Should
# we delay committing on both K and NK to avoid this
# hacky code? This creates other problems..
#
if X is K:
edges = {}
if NK.items == []:
return k
#
# Check for \epsilon-nonkernel's core. Unfortunately we
# need to know the entire set of predicted nonterminals
# to do this without accidentally duplicating states.
#
tcore = tuple(sorted(predicted.keys()))
if self.cores.has_key(tcore):
self.edges[(k, None)] = self.cores[tcore]
return k
nk = self.cores[tcore] = self.edges[(k, None)] = NK.stateno
self.edges.update(edges)
self.states[nk] = NK
return k
def goto(self, state, sym):
key = (state, sym)
if not self.edges.has_key(key):
#
# No transitions from state on sym.
#
return None
rv = self.edges[key]
if rv is None:
#
# Target state isn't generated yet. Remedy this.
#
rv = self.makeState(state, sym)
self.edges[key] = rv
return rv
def gotoT(self, state, t):
return [self.goto(state, t)]
def gotoST(self, state, st):
rv = []
for t in self.states[state].T:
if st == t:
rv.append(self.goto(state, t))
return rv
def add(self, set, item, i=None, predecessor=None, causal=None):
if predecessor is None:
if item not in set:
set.append(item)
else:
key = (item, i)
if item not in set:
self.links[key] = []
set.append(item)
self.links[key].append((predecessor, causal))
def makeSet(self, token, sets, i):
cur, next = sets[i], sets[i+1]
ttype = token is not None and self.typestring(token) or None
if ttype is not None:
fn, arg = self.gotoT, ttype
else:
fn, arg = self.gotoST, token
for item in cur:
ptr = (item, i)
state, parent = item
add = fn(state, arg)
for k in add:
if k is not None:
self.add(next, (k, parent), i+1, ptr)
nk = self.goto(k, None)
if nk is not None:
self.add(next, (nk, i+1))
if parent == i:
continue
for rule in self.states[state].complete:
lhs, rhs = rule
for pitem in sets[parent]:
pstate, pparent = pitem
k = self.goto(pstate, lhs)
if k is not None:
why = (item, i, rule)
pptr = (pitem, parent)
self.add(cur, (k, pparent),
i, pptr, why)
nk = self.goto(k, None)
if nk is not None:
self.add(cur, (nk, i))
def makeSet_fast(self, token, sets, i):
#
# Call *only* when the entire state machine has been built!
# It relies on self.edges being filled in completely, and
# then duplicates and inlines code to boost speed at the
# cost of extreme ugliness.
#
cur, next = sets[i], sets[i+1]
ttype = token is not None and self.typestring(token) or None
for item in cur:
ptr = (item, i)
state, parent = item
if ttype is not None:
k = self.edges.get((state, ttype), None)
if k is not None:
#self.add(next, (k, parent), i+1, ptr)
#INLINED --v
new = (k, parent)
key = (new, i+1)
if new not in next:
self.links[key] = []
next.append(new)
self.links[key].append((ptr, None))
#INLINED --^
#nk = self.goto(k, None)
nk = self.edges.get((k, None), None)
if nk is not None:
#self.add(next, (nk, i+1))
#INLINED --v
new = (nk, i+1)
if new not in next:
next.append(new)
#INLINED --^
else:
add = self.gotoST(state, token)
for k in add:
if k is not None:
self.add(next, (k, parent), i+1, ptr)
#nk = self.goto(k, None)
nk = self.edges.get((k, None), None)
if nk is not None:
self.add(next, (nk, i+1))
if parent == i:
continue
for rule in self.states[state].complete:
lhs, rhs = rule
for pitem in sets[parent]:
pstate, pparent = pitem
#k = self.goto(pstate, lhs)
k = self.edges.get((pstate, lhs), None)
if k is not None:
why = (item, i, rule)
pptr = (pitem, parent)
#self.add(cur, (k, pparent),
# i, pptr, why)
#INLINED --v
new = (k, pparent)
key = (new, i)
if new not in cur:
self.links[key] = []
cur.append(new)
self.links[key].append((pptr, why))
#INLINED --^
#nk = self.goto(k, None)
nk = self.edges.get((k, None), None)
if nk is not None:
#self.add(cur, (nk, i))
#INLINED --v
new = (nk, i)
if new not in cur:
cur.append(new)
#INLINED --^
def predecessor(self, key, causal):
for p, c in self.links[key]:
if c == causal:
return p
assert 0
def causal(self, key):
links = self.links[key]
if len(links) == 1:
return links[0][1]
choices = []
rule2cause = {}
for p, c in links:
rule = c[2]
choices.append(rule)
rule2cause[rule] = c
return rule2cause[self.ambiguity(choices)]
def deriveEpsilon(self, nt):
if len(self.newrules[nt]) > 1:
rule = self.ambiguity(self.newrules[nt])
else:
rule = self.newrules[nt][0]
#print rule
rhs = rule[1]
attr = [None] * len(rhs)
for i in xrange(len(rhs)-1, -1, -1):
attr[i] = self.deriveEpsilon(rhs[i])
return self.rule2func[self.new2old[rule]](attr)
def buildTree(self, nt, item, tokens, k):
state, parent = item
choices = []
for rule in self.states[state].complete:
if rule[0] == nt:
choices.append(rule)
rule = choices[0]
if len(choices) > 1:
rule = self.ambiguity(choices)
#print rule
rhs = rule[1]
attr = [None] * len(rhs)
for i in xrange(len(rhs)-1, -1, -1):
sym = rhs[i]
if not self.newrules.has_key(sym):
if sym != self._BOF:
attr[i] = tokens[k-1]
key = (item, k)
item, k = self.predecessor(key, None)
#elif self.isnullable(sym):
elif self._NULLABLE == sym[0:len(self._NULLABLE)]:
attr[i] = self.deriveEpsilon(sym)
else:
key = (item, k)
why = self.causal(key)
attr[i] = self.buildTree(sym, why[0],
tokens, why[1])
item, k = self.predecessor(key, why)
return self.rule2func[self.new2old[rule]](attr)
def ambiguity(self, rules):
#
# XXX - problem here and in collectRules() if the same rule
# appears in >1 method. Also undefined results if rules
# causing the ambiguity appear in the same method.
#
sortlist = []
name2index = {}
for i in xrange(len(rules)):
lhs, rhs = rule = rules[i]
name = self.rule2name[self.new2old[rule]]
sortlist.append((len(rhs), name))
name2index[name] = i
sortlist.sort()
list = map(lambda (a,b): b, sortlist)
return rules[name2index[self.resolve(list)]]
def resolve(self, list):
#
# Resolve ambiguity in favor of the shortest RHS.
# Since we walk the tree from the top down, this
# should effectively resolve in favor of a "shift".
#
return list[0]
#
# GenericASTBuilder automagically constructs a concrete/abstract syntax tree
# for a given input. The extra argument is a class (not an instance!)
# which supports the "__setslice__" and "__len__" methods.
#
# XXX - silently overrides any user code in methods.
#
class GenericASTBuilder(GenericParser):
def __init__(self, AST, start):
GenericParser.__init__(self, start)
self.AST = AST
def preprocess(self, rule, func):
rebind = lambda lhs, self=self: \
lambda args, lhs=lhs, self=self: \
self.buildASTNode(args, lhs)
lhs, rhs = rule
return rule, rebind(lhs)
def buildASTNode(self, args, lhs):
children = []
for arg in args:
if isinstance(arg, self.AST):
children.append(arg)
else:
children.append(arg)
return self.nonterminal(lhs, children)
def nonterminal(self, type, args):
rv = self.AST(type)
rv[:len(args)] = args
return rv
#
# GenericASTTraversal is a Visitor pattern according to Design Patterns. For
# each node it attempts to invoke the method n_<node type>, falling
# back onto the default() method if the n_* can't be found. The preorder
# traversal also looks for an exit hook named n_<node type>_exit (no default
# routine is called if it's not found). To prematurely halt traversal
# of a subtree, call the prune() method -- this only makes sense for a
# preorder traversal. Node type is determined via the typestring() method.
#
class GenericASTTraversalPruningException:
pass
class GenericASTTraversal:
def __init__(self, ast):
self.ast = ast
def typestring(self, node):
return node.type
def prune(self):
raise GenericASTTraversalPruningException
def preorder(self, node=None):
if node is None:
node = self.ast
try:
name = 'n_' + self.typestring(node)
if hasattr(self, name):
func = getattr(self, name)
func(node)
else:
self.default(node)
except GenericASTTraversalPruningException:
return
for kid in node:
self.preorder(kid)
name = name + '_exit'
if hasattr(self, name):
func = getattr(self, name)
func(node)
def default(self, node):
pass<｜fim▁end｜> | tokens, len(sets)-2)
def isnullable(self, sym): |
<|file_name|>_tqdm_gui.py<|end_file_name|><｜fim▁begin｜>"""
GUI progressbar decorator for iterators.
Includes a default (x)range iterator printing to stderr.
Usage:
>>> from tqdm_gui import tgrange[, tqdm_gui]
>>> for i in tgrange(10): #same as: for i in tqdm_gui(xrange(10))
... ...
"""
# future division is important to divide integers and get as
# a result precise floating numbers (instead of truncated int)
from __future__ import division, absolute_import
# import compatibility functions and utilities
import sys
from time import time
from ._utils import _range
# to inherit from the tqdm class
from ._tqdm import tqdm
__author__ = {"github.com/": ["casperdcl", "lrq3000"]}
__all__ = ['tqdm_gui', 'tgrange']
class tqdm_gui(tqdm): # pragma: no cover
"""
Experimental GUI version of tqdm!
"""
@classmethod
def write(cls, s, file=None, end="\n"):
"""
Print a message via tqdm_gui (just an alias for print)
"""
if file is None:
file = sys.stdout
# TODO: print text on GUI?
file.write(s)
file.write(end)
def __init__(self, *args, **kwargs):
import matplotlib as mpl
import matplotlib.pyplot as plt
from collections import deque
kwargs['gui'] = True
super(tqdm_gui, self).__init__(*args, **kwargs)
# Initialize the GUI display
if self.disable or not kwargs['gui']:
return
self.fp.write('Warning: GUI is experimental/alpha\n')
self.mpl = mpl
self.plt = plt
self.sp = None
# Remember if external environment uses toolbars
self.toolbar = self.mpl.rcParams['toolbar']
self.mpl.rcParams['toolbar'] = 'None'
self.mininterval = max(self.mininterval, 0.5)
self.fig, ax = plt.subplots(figsize=(9, 2.2))
# self.fig.subplots_adjust(bottom=0.2)
if self.total:
self.xdata = []
self.ydata = []
self.zdata = []
else:
self.xdata = deque([])
self.ydata = deque([])
self.zdata = deque([])
self.line1, = ax.plot(self.xdata, self.ydata, color='b')
self.line2, = ax.plot(self.xdata, self.zdata, color='k')
ax.set_ylim(0, 0.001)
if self.total:
ax.set_xlim(0, 100)
ax.set_xlabel('percent')
self.fig.legend((self.line1, self.line2), ('cur', 'est'),
loc='center right')
# progressbar
self.hspan = plt.axhspan(0, 0.001,
xmin=0, xmax=0, color='g')
else:
# ax.set_xlim(-60, 0)
ax.set_xlim(0, 60)
ax.invert_xaxis()
ax.set_xlabel('seconds')
ax.legend(('cur', 'est'), loc='lower left')
ax.grid()
# ax.set_xlabel('seconds')
ax.set_ylabel((self.unit if self.unit else 'it') + '/s')
if self.unit_scale:
plt.ticklabel_format(style='sci', axis='y',
scilimits=(0, 0))
ax.yaxis.get_offset_text().set_x(-0.15)
# Remember if external environment is interactive
self.wasion = plt.isinteractive()
plt.ion()
self.ax = ax
def __iter__(self):
# TODO: somehow allow the following:
# if not self.gui:
# return super(tqdm_gui, self).__iter__()
iterable = self.iterable
if self.disable:
for obj in iterable:
yield obj
return
# ncols = self.ncols
mininterval = self.mininterval
maxinterval = self.maxinterval
miniters = self.miniters
dynamic_miniters = self.dynamic_miniters
unit = self.unit
unit_scale = self.unit_scale
ascii = self.ascii
start_t = self.start_t
last_print_t = self.last_print_t
last_print_n = self.last_print_n
n = self.n
# dynamic_ncols = self.dynamic_ncols
smoothing = self.smoothing
avg_time = self.avg_time
bar_format = self.bar_format
plt = self.plt
ax = self.ax
xdata = self.xdata
ydata = self.ydata
zdata = self.zdata
line1 = self.line1
line2 = self.line2
for obj in iterable:
yield obj
# Update and print the progressbar.
# Note: does not call self.update(1) for speed optimisation.
n += 1
delta_it = n - last_print_n
# check the counter first (avoid calls to time())
if delta_it >= miniters:
cur_t = time()
delta_t = cur_t - last_print_t
if delta_t >= mininterval:
elapsed = cur_t - start_t
# EMA (not just overall average)
if smoothing and delta_t:
avg_time = delta_t / delta_it \
if avg_time is None \
else smoothing * delta_t / delta_it + \
(1 - smoothing) * avg_time
# Inline due to multiple calls
total = self.total
# instantaneous rate
y = delta_it / delta_t
# overall rate
z = n / elapsed
# update line data
xdata.append(n * 100.0 / total if total else cur_t)
ydata.append(y)
zdata.append(z)
# Discard old values
# xmin, xmax = ax.get_xlim()
# if (not total) and elapsed > xmin * 1.1:
if (not total) and elapsed > 66:
xdata.popleft()
ydata.popleft()
zdata.popleft()
ymin, ymax = ax.get_ylim()
if y > ymax or z > ymax:
ymax = 1.1 * y
ax.set_ylim(ymin, ymax)
ax.figure.canvas.draw()
if total:
line1.set_data(xdata, ydata)
line2.set_data(xdata, zdata)
try:
poly_lims = self.hspan.get_xy()
except AttributeError:
self.hspan = plt.axhspan(0, 0.001, xmin=0,
xmax=0, color='g')
poly_lims = self.hspan.get_xy()
poly_lims[0, 1] = ymin
poly_lims[1, 1] = ymax
poly_lims[2] = [n / total, ymax]
poly_lims[3] = [poly_lims[2, 0], ymin]
if len(poly_lims) > 4:
poly_lims[4, 1] = ymin
self.hspan.set_xy(poly_lims)
else:
t_ago = [cur_t - i for i in xdata]
line1.set_data(t_ago, ydata)
line2.set_data(t_ago, zdata)
ax.set_title(self.format_meter(
n, total, elapsed, 0,
self.desc, ascii, unit, unit_scale,
1 / avg_time if avg_time else None, bar_format),
fontname="DejaVu Sans Mono", fontsize=11)
plt.pause(1e-9)
# If no `miniters` was specified, adjust automatically
# to the maximum iteration rate seen so far.
if dynamic_miniters:
if maxinterval and delta_t > maxinterval:
# Set miniters to correspond to maxinterval
miniters = delta_it * maxinterval / delta_t
elif mininterval and delta_t:
# EMA-weight miniters to converge
# towards the timeframe of mininterval
miniters = smoothing * delta_it * mininterval \
/ delta_t + (1 - smoothing) * miniters
else:
miniters = smoothing * delta_it + \<｜fim▁hole｜>
# Store old values for next call
last_print_n = n
last_print_t = cur_t
# Closing the progress bar.
# Update some internal variables for close().
self.last_print_n = last_print_n
self.n = n
self.close()
def update(self, n=1):
# if not self.gui:
# return super(tqdm_gui, self).close()
if self.disable:
return
if n < 0:
n = 1
self.n += n
delta_it = self.n - self.last_print_n # should be n?
if delta_it >= self.miniters:
# We check the counter first, to reduce the overhead of time()
cur_t = time()
delta_t = cur_t - self.last_print_t
if delta_t >= self.mininterval:
elapsed = cur_t - self.start_t
# EMA (not just overall average)
if self.smoothing and delta_t:
self.avg_time = delta_t / delta_it \
if self.avg_time is None \
else self.smoothing * delta_t / delta_it + \
(1 - self.smoothing) * self.avg_time
# Inline due to multiple calls
total = self.total
ax = self.ax
# instantaneous rate
y = delta_it / delta_t
# smoothed rate
z = self.n / elapsed
# update line data
self.xdata.append(self.n * 100.0 / total
if total else cur_t)
self.ydata.append(y)
self.zdata.append(z)
# Discard old values
if (not total) and elapsed > 66:
self.xdata.popleft()
self.ydata.popleft()
self.zdata.popleft()
ymin, ymax = ax.get_ylim()
if y > ymax or z > ymax:
ymax = 1.1 * y
ax.set_ylim(ymin, ymax)
ax.figure.canvas.draw()
if total:
self.line1.set_data(self.xdata, self.ydata)
self.line2.set_data(self.xdata, self.zdata)
try:
poly_lims = self.hspan.get_xy()
except AttributeError:
self.hspan = self.plt.axhspan(0, 0.001, xmin=0,
xmax=0, color='g')
poly_lims = self.hspan.get_xy()
poly_lims[0, 1] = ymin
poly_lims[1, 1] = ymax
poly_lims[2] = [self.n / total, ymax]
poly_lims[3] = [poly_lims[2, 0], ymin]
if len(poly_lims) > 4:
poly_lims[4, 1] = ymin
self.hspan.set_xy(poly_lims)
else:
t_ago = [cur_t - i for i in self.xdata]
self.line1.set_data(t_ago, self.ydata)
self.line2.set_data(t_ago, self.zdata)
ax.set_title(self.format_meter(
self.n, total, elapsed, 0,
self.desc, self.ascii, self.unit, self.unit_scale,
1 / self.avg_time if self.avg_time else None,
self.bar_format),
fontname="DejaVu Sans Mono", fontsize=11)
self.plt.pause(1e-9)
# If no `miniters` was specified, adjust automatically to the
# maximum iteration rate seen so far.
# e.g.: After running `tqdm.update(5)`, subsequent
# calls to `tqdm.update()` will only cause an update after
# at least 5 more iterations.
if self.dynamic_miniters:
if self.maxinterval and delta_t > self.maxinterval:
self.miniters = self.miniters * self.maxinterval \
/ delta_t
elif self.mininterval and delta_t:
self.miniters = self.smoothing * delta_it \
* self.mininterval / delta_t + \
(1 - self.smoothing) * self.miniters
else:
self.miniters = self.smoothing * delta_it + \
(1 - self.smoothing) * self.miniters
# Store old values for next call
self.last_print_n = self.n
self.last_print_t = cur_t
def close(self):
# if not self.gui:
# return super(tqdm_gui, self).close()
if self.disable:
return
self.disable = True
self._instances.remove(self)
# Restore toolbars
self.mpl.rcParams['toolbar'] = self.toolbar
# Return to non-interactive mode
if not self.wasion:
self.plt.ioff()
if not self.leave:
self.plt.close(self.fig)
def tgrange(*args, **kwargs):
"""
A shortcut for tqdm_gui(xrange(*args), **kwargs).
On Python3+ range is used instead of xrange.
"""
return tqdm_gui(_range(*args), **kwargs)<｜fim▁end｜> | (1 - smoothing) * miniters |
<|file_name|>classifier.py<|end_file_name|><｜fim▁begin｜>from sklearn.model_selection import StratifiedKFold
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier, GradientBoostingClassifier
from sklearn.metrics import confusion_matrix
from tools import ConfusionMatrixUtils
import pydotplus
import numpy as np
import matplotlib.pyplot as plt
import itertools
import os
import joblib
import librosa
import logging
from featuresExtraction import extractFeatures
try:
from xgboost import XGBClassifier
except ImportError:
print("xgboost not installed!")
# Returns the best classifiers for faster experiments
def bestClfs():
'''
This method return a list of the best classifiers used in the beatsdataset.csv
:return list: List of classifiers
'''
DTC23 = tree.DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,
max_features=None, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=15,
min_samples_split=61, min_weight_fraction_leaf=0,
presort=False, random_state=None, splitter='best')
# ----> Accuracy: 0.553043478261 +- 0.0141287624428
RFC23 = RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features=0.497907908371,
max_leaf_nodes=None, min_impurity_split=1e-07,
min_samples_leaf=2, min_samples_split=2,
min_weight_fraction_leaf=0, n_estimators=150, n_jobs=4,
oob_score=True, random_state=None, verbose=0, warm_start=False)
DTC7 = tree.DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,
max_features=None, max_leaf_nodes=None,
min_impurity_split=1e-07, min_samples_leaf=9,
min_samples_split=40, min_weight_fraction_leaf=0,
presort=False, random_state=None, splitter='best')
# ----> Accuracy: 0.553043478261 +- 0.0141287624428
RFC7 = RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features=0.59,
max_leaf_nodes=None, min_impurity_split=1e-07,
min_samples_leaf=2, min_samples_split=15,
min_weight_fraction_leaf=0, n_estimators=84, n_jobs=4,
oob_score=True, random_state=None, verbose=0, warm_start=False)
ET7 = ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='gini',
max_depth=None, max_features=0.790926623187,
max_leaf_nodes=None, min_impurity_split=1e-07,
min_samples_leaf=1, min_samples_split=16,
min_weight_fraction_leaf=0, n_estimators=135, n_jobs=4,
oob_score=False, random_state=None, verbose=0, warm_start=False)
GB7 = GradientBoostingClassifier(criterion='friedman_mse', init=None,
learning_rate=0.0150834277809, loss='deviance',
max_depth=None, max_features=0.982060609531,
max_leaf_nodes=None, min_impurity_split=1e-07,
min_samples_leaf=22, min_samples_split=51,
min_weight_fraction_leaf=0, n_estimators=135, presort='auto',
random_state=None, subsample=0.769360696352, verbose=0,
warm_start=False)
#1 0.548 +-0.015 with beatsdataset.csv (windows and steps 1 1 0.05 0.05) SIN ESSENTIA BPM 0.47
#2 0.492 +- 0.015 with beatsdataset1-1-01-005.csv
#3 0.486 +- 0.015 with beatsdataset1-1-01-01.csv
#4 0.424 +- 0.023 with beatsdataset1-1-04-04.csv
#5 0.4383 +- 0.0103 with beatsdataset1-05-005-0025.csv
#6 0.463 +- 0.032 with beatsdataset138-stStep25.csv
#7 0.493 +- 0.011 with beatsdataset138-stStep50.csv CON ESSENTIA BPM 0.56 +- 0.007
#10 0.694 +- 0.044 with gtzan.csv
#ETC = ExtraTreesClassifier(bootstrap=True, criterion="gini",max_features=1, min_samples_leaf=2,min_samples_split=10, n_estimators=100)
# Accuracy 138 step 50 with BPM essentia (0.56260869565217386, 0.012251306785743798)
#ETC = ExtraTreesClassifier(bootstrap=False, criterion="gini",max_features=0.5, min_samples_leaf=2,min_samples_split=10, n_estimators=100)
# Best with GTZAN
#1 0.534 +- 0.01 with beatsdataset.csv
#2 0.46 +- 0.01 with beatsdataset1-1-01-005.csv
#3 0.48 +- 0.014 with beatsdataset1-1-01-01.csv
#4 0.422 +- 0.019 with beatsdataset1-1-04-04.csv
#5 0.4387 +- 0.0182 with beatsdataset1-05-005-0025.csv
#6 0.452 +- 0.0198 with beatsdataset138-stStep25.csv
#7 0.486 +- 0.024 with beatsdataset138-stStep50.csv
#10 0.731 +- 0.021 with gtzan.csv
#GBC = GradientBoostingClassifier(learning_rate=0.1, max_depth=6,max_features=0.5, min_samples_leaf=13,min_samples_split=6, subsample=0.8)
#1 0.556 +-0.016 with beatsdataset.csv SIN ESSENTIA BPM 0.48
#2 0.477 +- 0.012 with beatsdataset1-1-01-005.csv
#3 0.477 +- 0.007 with beatsdataset1-1-01-01.csv
#4 0.451 +- 0.007 with beatsdataset1-1-04-04.csv
#5 0.443 +- 0.019 with beatsdataset1-05-005-0025.csv
#6 0.479 +- 0.011 with beatsdataset138-stStep25.csv
#7 0.5 +- 0.02 with beatsdataset138-stStep50.csv CON ESSENTIA BPM 0.557, 0.017
#10 0.722 +- 0.012 with gtzan.csv
#XGB = XGBClassifier(learning_rate=0.1, max_depth=5,min_child_weight=6, nthread=4,subsample=0.55)
clfs = [DTC23, RFC23, DTC7, RFC7, ET7, GB7]
return clfs
def plot_confusion_matrix(cm, classes,
normalize=False,
title='Confusion matrix',
cmap=plt.cm.Blues):
'''
This function plots a confusion matrix
:param numpy.array cm: Confusion matrix
:param list classes: List of classes
:param boolean normalize: True to normalize
:param str title: Title of the plot
:param cmap: Colours
'''
classes = sorted(classes)
plt.imshow(cm, interpolation='nearest', cmap=cmap, vmax=sum(cm[0][:]))
plt.title(title)
plt.colorbar()
tick_marks = np.arange(len(classes))
plt.xticks(tick_marks, classes, rotation=90, fontsize=12)
plt.yticks(tick_marks, classes, fontsize=12)
if normalize:
cm = np.round(100*cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]).astype('int')
print("Normalized confusion matrix")
else:
print('Confusion matrix, without normalization')
print(cm)
thresh = cm.max() / 2.
for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):
plt.text(j, i, cm[i, j],
horizontalalignment="center",
verticalalignment="center",
color="white" if cm[i, j] > thresh else "black",
fontsize=16)
plt.tight_layout()
plt.ylabel('True label')
plt.xlabel('Predicted label')
def KFoldCrossValidation(df, report_folder, clf, random_state=None):
'''
Generates a report using KFold cross validation.
It generate train/test confusion matrix for each kfold, a final kfold with all the test splits
and a report.txt with metrics and other data.
:param pandas.DataFrame df: DataFrame with the dataset
:param str report_folder: folder where save pics and report
:param clf: classifier with methods fit, score and predict sklearn styled
:return: clf trained with all the data
'''
class_list, features, labels = unpackDF(df)
# Create object to split the dataset (in 5 at random but preserving percentage of each class)
skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=random_state)
# Split the dataset. The skf saves splits index
skf.get_n_splits(features, labels)
# Transform lists to np.arrays
features = np.array(features)
labels = np.array(labels)
# Total predicted label kfold (Used for final confusion matrix)
labels_kfold_predicted = []
# Total labels kfold (Used for final confusion matrix)
labels_kfold = []
# Accuracies for each kfold (Used for final accuracy and std)
accuracies_kfold = []
# Counter for the full report
kcounter = 0
# Report file with useful information
if (os.path.isdir(report_folder)):
logging.warning("The directory %s already exist", report_folder)
else:
logging.info("Creating directory %s", report_folder)
os.mkdir(report_folder, 0o0755)
report = open(os.path.join(report_folder,"report.txt"), "w")
codes = []
# Iterate over the KFolds and do stuff
for train_index, test_index in skf.split(features, labels):
# Splits
features_train, features_test = features[train_index], features[test_index]
labels_train, labels_test = labels[train_index], labels[test_index]
# Train the classifier with 80% of samples
clf.fit(features_train, labels_train)
# And predict with the other 20%
accuracies_kfold.append(clf.score(features_test, labels_test))
# Labels predicted for test split
labels_pred_test = clf.predict(features_test)
labels_kfold.extend(labels_test)
labels_kfold_predicted.extend(labels_pred_test)
codes.extend(features_test[:,71])
kcounter += 1
print(accuracies_kfold)
print("\nMean accuracy: " + str(np.mean(accuracies_kfold)) + " +- " + str(np.std(accuracies_kfold)) + "\n")
report.write("Accuracies: " + str(accuracies_kfold) + "\nMean accuracy: " + str(np.mean(accuracies_kfold)) + " +- " + str(
np.std(accuracies_kfold)) + "\n")
# Confusion matrix with all the predicted classes
cm_kfold_total = confusion_matrix(labels_kfold, labels_kfold_predicted)
# Get current size and making it bigger
fig_size = plt.rcParams["figure.figsize"]
# Set figure according with the number of classes
size = len(class_list) - len(class_list)*30/100
fig_size[0] = size
fig_size[1] = size
plt.rcParams["figure.figsize"] = fig_size
plt.figure()
plot_confusion_matrix(cm_kfold_total, class_list, False, "Full test Confusion")
plt.savefig(os.path.join(report_folder,"cmkfolds.pdf"))
cmm = ConfusionMatrixUtils(cm_kfold_total, class_list)
report.write(cmm.report() + "\n\n")
joblib.dump(cmm,os.path.join(report_folder,"cmm"))
joblib.dump(cmm.cmmToGraph(),os.path.join(report_folder,"cmgraph"))
clf.fit(features, labels)
return clf, labels_kfold_predicted, codes
def TreeKFoldReport(df, report_folder, clf, n_splits=10, random_state=None):
'''
Uses KFold cross validation over the dataset generating info in the report folder.
:param df: pandas.DataFrame with the dataset
:param report_folder: folder to save pics and report
:param clf: DecissionTreeClassifier
:param int n_splits: Number of kfolds
:param float random:state: Random state seed
:return: clf full trained with the whole dataset
'''
class_list, features, labels = unpackDF(df)
# Feature names list
features_names_full = list(df.columns.values[:-1])
# Create object to split the dataset (in 5 at random but preserving percentage of each class)
skf = StratifiedKFold(n_splits=n_splits, shuffle=True, random_state=random_state)
# Split the dataset. The skf saves splits index
skf.get_n_splits(features, labels)
# Transform lists to np.arrays
features = np.array(features)
labels = np.array(labels)
# Total predicted label kfold (Used for final confusion matrix)
labels_kfold_predicted = []
# Total labels kfold (Used for final confusion matrix)
labels_kfold = []
# Accuracies for each kfold (Used for final accuracy and std)
accuracies_kfold = []
# Counter for the full report<｜fim▁hole｜>
# Report file with useful information
report = open(os.path.join(report_folder, "report.txt"), "w")
# Iterate over the KFolds and do stuff
for train_index, test_index in skf.split(features, labels):
report.write("KFold numero " + str(kcounter) + "\n")
print("Train:", train_index, "Test:", test_index)
report.write("\tTrain: " + str(train_index) + " Test:" + str(test_index) + "\n\n")
# Splits
features_train, features_test = features[train_index], features[test_index]
labels_train, labels_test = labels[train_index], labels[test_index]
# Train the classifier
clf.fit(features_train, labels_train)
accuracies_kfold.append(clf.score(features_test, labels_test))
print(accuracies_kfold[kcounter])
report.write("\tAccuracy: " + str(accuracies_kfold[kcounter]) + "\n")
# Confusion matrix for train and test
labels_pred_test = clf.predict(features_test)
labels_pred_train = clf.predict(features_train)
cm_test = confusion_matrix(labels_test, labels_pred_test)
cm_train = confusion_matrix(labels_train, labels_pred_train)
cmm = ConfusionMatrixUtils(cm_test, class_list)
report.write("\t" + cmm.report() + "\n\n")
"""
Ploting the test confusion for the test set
"""
# Get current size and making it bigger
fig_size = plt.rcParams["figure.figsize"]
# Set figure according with the number of classes
size = len(class_list) - len(class_list) * 30 / 100
fig_size[0] = size
fig_size[1] = size
plt.rcParams["figure.figsize"] = fig_size
plt.figure()
plot_confusion_matrix(cm_test, class_list, False, "Test Confusion")
plt.savefig(os.path.join(report_folder,"cmtest" + str(kcounter) + ".pdf"))
"""
Ploting the train confusion for the train set"""
plt.figure()
plot_confusion_matrix(cm_train, class_list, False, "Train Confusion")
plt.savefig(os.path.join(report_folder,"cmtrain" + str(kcounter) + ".pdf"))
labels_kfold.extend(labels_test)
labels_kfold_predicted.extend(labels_pred_test)
kcounter += 1
print(accuracies_kfold)
print("\nMean accuracy: " + str(np.mean(accuracies_kfold)) + "+-" + str(np.std(accuracies_kfold)) + "\n")
report.write(
"Accuracies: " + str(accuracies_kfold) + "\nMean accuracy: " + str(np.mean(accuracies_kfold)) + "+-" + str(
np.std(accuracies_kfold)) + "\n")
cm_kfold_total = confusion_matrix(labels_kfold, labels_kfold_predicted)
plt.figure()
plot_confusion_matrix(cm_kfold_total, class_list, False, "Full test Confusion")
plt.savefig(os.path.join(report_folder,"cmkfolds.pdf"))
cmm = ConfusionMatrixUtils(cm_kfold_total, class_list)
report.write(cmm.report() + "\n\n")
clf.fit(features, labels)
dot_data = tree.export_graphviz(clf, out_file=None,
feature_names=features_names_full,
class_names=class_list,
filled=True, rounded=True,
special_characters=True)
graph = pydotplus.graph_from_dot_data(dot_data)
graph.write_pdf(os.path.join(report_folder,"FinalTree.pdf"))
return clf
def plot_feature_importances(tree_classifier, feat_names, nfeat=10, dimy=6, dimx=8,):
'''
Plots the nfeat more important features of the tree or random forest given.
:param tree_classifier: classifier DecissionTree or RandomForest
:param feat_names: The name of the features in the tree
:param nfeat: The number of top features to show
:param dimx: fig size x
:param dimy: fig size y
'''
importances = tree_classifier.feature_importances_
std = np.std([importances], axis=0) #Does nothing
indices = importances.argsort()[-nfeat:][::-1]
print("Feature ranking:")
for f in range(nfeat):
print("%d. feature %d (%f)" % (f+1, indices[f], importances[indices[f]]))
plt.figure()
fig_size = plt.rcParams["figure.figsize"]
fig_size[0] = dimx
fig_size[1] = dimy
plt.rc('ytick', labelsize=16)
plt.rcParams["figure.figsize"] = fig_size
plt.title("Feature importances")
plt.bar(range(nfeat), importances[indices],
color="b", yerr=std[indices], align="center")
plt.xticks(range(nfeat), feat_names[indices], rotation=75, fontsize=12)
plt.xlim([-1, nfeat])
plt.show()
def unpackDF(df):
'''
Extract classes, features, and labels from a pandas.DataFrame.
One column of the DataFrame should be called "class" and
the rest are features.
:param DataFrame df: pandas.DataFrame with the dataset
:return: Classes, features, labels
'''
# List with the different labels
class_list = list(df["class"].drop_duplicates())
# List with all the labels (X)
labels = list(df["class"].values)
# List with the features (y)
df = df.drop(["class"],axis=1).reset_index(drop=True)
features = []
for j in range(df.shape[0]):
item = df.ix[j]
features.append([item[i] for i in range(len(item))])
return class_list, features, labels
def KFoldAccuracy(df, clf, n_splits=10, random_state=None):
'''
Computes KFold cross validation accuracy using n_splits folds over the data in the pandas.DataFrame given.
Uses an stratified KFold with the random_state specified.
:param df: pandas.DataFrame where is the data for train/test splits
:param clf: classifier with methods fit, predict and score
:param n_splits: number of splits
:param random_state: random state seed
:return: mean accuracy, std
'''
_, features, labels = unpackDF(df)
# Create object to split the dataset (in 5 at random but preserving percentage of each class)
skf = StratifiedKFold(n_splits=n_splits, shuffle=True, random_state=random_state)
# Split the dataset. The skf saves splits index
skf.get_n_splits(features, labels)
# Transform lists to np.arrays
features = np.array(features)
labels = np.array(labels)
# Total predicted label kfold (Used for final confusion matrix)
labels_kfold_predicted = []
# Total labels kfold (Used for final confusion matrix)
labels_kfold = []
# Accuracies for each kfold (Used for final accuracy and std)
accuracies_kfold = []
# Counter for the full report
kcounter = 0
# Iterate over the KFolds and do stuff
for train_index, test_index in skf.split(features, labels):
# Splits
features_train, features_test = features[train_index], features[test_index]
labels_train, labels_test = labels[train_index], labels[test_index]
# Train the classifier
clf.fit(features_train, labels_train)
accuracies_kfold.append(clf.score(features_test, labels_test))
# Labels predicted for test split
labels_pred_test = clf.predict(features_test)
labels_kfold.extend(labels_test)
labels_kfold_predicted.extend(labels_pred_test)
kcounter += 1
meanAccuracy = np.mean(accuracies_kfold)
std = np.std(accuracies_kfold)
return meanAccuracy, std
def predictGenre(song_file_name, clf_pkl=os.path.join(os.path.dirname(__file__),'Examples','beats23classifier.pkl')):
'''
Receives an audio file route and a binary classifier and returns the genre of the song in a string
:param str song_file_name: audio file route
:param str clf_pkl: binary classifier route
:return: genre of the song using the classifier given or the default beatport classifier
'''
clf = joblib.load(clf_pkl)
x, Fs = librosa.load(song_file_name)
x = librosa.resample(x, Fs, 22050)
x = librosa.to_mono(x)
feats = extractFeatures(22050, x[:22050 * 120], 1, 1, 0.05, 0.05)
return clf.predict([feats])[0]<｜fim▁end｜> | kcounter = 0 |
<|file_name|>_search.py<|end_file_name|><｜fim▁begin｜>"""
The :mod:`sklearn.model_selection._search` includes utilities to fine-tune the
parameters of an estimator.
"""
from __future__ import print_function
from __future__ import division
# Author: Alexandre Gramfort <[email protected]>,
# Gael Varoquaux <[email protected]>
# Andreas Mueller <[email protected]>
# Olivier Grisel <[email protected]>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
from collections import Mapping, namedtuple, Sized, defaultdict
from functools import partial, reduce
from itertools import product
import operator
import warnings
import numpy as np
from ..base import BaseEstimator, is_classifier, clone
from ..base import MetaEstimatorMixin
from ._split import check_cv
from ._validation import _fit_and_score
from ..exceptions import NotFittedError
from ..externals.joblib import Parallel, delayed
from ..externals import six
from ..utils import check_random_state
from ..utils.fixes import sp_version
from ..utils.fixes import rankdata
from ..utils.random import sample_without_replacement
from ..utils.validation import indexable, check_is_fitted
from ..utils.metaestimators import if_delegate_has_method
from ..metrics.scorer import check_scoring
__all__ = ['GridSearchCV', 'ParameterGrid', 'fit_grid_point',
'ParameterSampler', 'RandomizedSearchCV']
class ParameterGrid(object):
"""Grid of parameters with a discrete number of values for each.
Can be used to iterate over parameter value combinations with the
Python built-in function iter.
Read more in the :ref:`User Guide <search>`.
Parameters
----------
param_grid : dict of string to sequence, or sequence of such
The parameter grid to explore, as a dictionary mapping estimator
parameters to sequences of allowed values.
An empty dict signifies default parameters.
A sequence of dicts signifies a sequence of grids to search, and is
useful to avoid exploring parameter combinations that make no sense
or have no effect. See the examples below.
Examples
--------
>>> from sklearn.model_selection import ParameterGrid
>>> param_grid = {'a': [1, 2], 'b': [True, False]}
>>> list(ParameterGrid(param_grid)) == (
... [{'a': 1, 'b': True}, {'a': 1, 'b': False},
... {'a': 2, 'b': True}, {'a': 2, 'b': False}])
True
>>> grid = [{'kernel': ['linear']}, {'kernel': ['rbf'], 'gamma': [1, 10]}]
>>> list(ParameterGrid(grid)) == [{'kernel': 'linear'},
... {'kernel': 'rbf', 'gamma': 1},
... {'kernel': 'rbf', 'gamma': 10}]
True
>>> ParameterGrid(grid)[1] == {'kernel': 'rbf', 'gamma': 1}
True
See also
--------
:class:`GridSearchCV`:
Uses :class:`ParameterGrid` to perform a full parallelized parameter
search.
"""
def __init__(self, param_grid):
if isinstance(param_grid, Mapping):
# wrap dictionary in a singleton list to support either dict
# or list of dicts
param_grid = [param_grid]
self.param_grid = param_grid
def __iter__(self):
"""Iterate over the points in the grid.
Returns
-------
params : iterator over dict of string to any
Yields dictionaries mapping each estimator parameter to one of its
allowed values.
"""
for p in self.param_grid:
# Always sort the keys of a dictionary, for reproducibility
items = sorted(p.items())
if not items:
yield {}
else:
keys, values = zip(*items)
for v in product(*values):
params = dict(zip(keys, v))
yield params
def __len__(self):
"""Number of points on the grid."""
# Product function that can handle iterables (np.product can't).
product = partial(reduce, operator.mul)
return sum(product(len(v) for v in p.values()) if p else 1
for p in self.param_grid)
def __getitem__(self, ind):
"""Get the parameters that would be ``ind``th in iteration
Parameters
----------
ind : int
The iteration index
Returns
-------
params : dict of string to any
Equal to list(self)[ind]
"""
# This is used to make discrete sampling without replacement memory
# efficient.
for sub_grid in self.param_grid:
# XXX: could memoize information used here
if not sub_grid:
if ind == 0:
return {}
else:
ind -= 1
continue
# Reverse so most frequent cycling parameter comes first
keys, values_lists = zip(*sorted(sub_grid.items())[::-1])
sizes = [len(v_list) for v_list in values_lists]
total = np.product(sizes)
if ind >= total:
# Try the next grid
ind -= total
else:
out = {}
for key, v_list, n in zip(keys, values_lists, sizes):
ind, offset = divmod(ind, n)
out[key] = v_list[offset]
return out
raise IndexError('ParameterGrid index out of range')
class ParameterSampler(object):
"""Generator on parameters sampled from given distributions.
Non-deterministic iterable over random candidate combinations for hyper-
parameter search. If all parameters are presented as a list,
sampling without replacement is performed. If at least one parameter
is given as a distribution, sampling with replacement is used.
It is highly recommended to use continuous distributions for continuous
parameters.
Note that before SciPy 0.16, the ``scipy.stats.distributions`` do not
accept a custom RNG instance and always use the singleton RNG from
``numpy.random``. Hence setting ``random_state`` will not guarantee a
deterministic iteration whenever ``scipy.stats`` distributions are used to
define the parameter search space. Deterministic behavior is however
guaranteed from SciPy 0.16 onwards.
Read more in the :ref:`User Guide <search>`.
Parameters
----------
param_distributions : dict
Dictionary where the keys are parameters and values
are distributions from which a parameter is to be sampled.
Distributions either have to provide a ``rvs`` function
to sample from them, or can be given as a list of values,
where a uniform distribution is assumed.
n_iter : integer
Number of parameter settings that are produced.
random_state : int or RandomState
Pseudo random number generator state used for random uniform sampling
from lists of possible values instead of scipy.stats distributions.
Returns
-------
params : dict of string to any
**Yields** dictionaries mapping each estimator parameter to
as sampled value.
Examples
--------
>>> from sklearn.model_selection import ParameterSampler
>>> from scipy.stats.distributions import expon
>>> import numpy as np
>>> np.random.seed(0)
>>> param_grid = {'a':[1, 2], 'b': expon()}
>>> param_list = list(ParameterSampler(param_grid, n_iter=4))
>>> rounded_list = [dict((k, round(v, 6)) for (k, v) in d.items())
... for d in param_list]
>>> rounded_list == [{'b': 0.89856, 'a': 1},
... {'b': 0.923223, 'a': 1},
... {'b': 1.878964, 'a': 2},
... {'b': 1.038159, 'a': 2}]
True
"""
def __init__(self, param_distributions, n_iter, random_state=None):
self.param_distributions = param_distributions
self.n_iter = n_iter
self.random_state = random_state
def __iter__(self):
# check if all distributions are given as lists
# in this case we want to sample without replacement
all_lists = np.all([not hasattr(v, "rvs")
for v in self.param_distributions.values()])
rnd = check_random_state(self.random_state)
if all_lists:
# look up sampled parameter settings in parameter grid
param_grid = ParameterGrid(self.param_distributions)
grid_size = len(param_grid)
if grid_size < self.n_iter:
raise ValueError(
"The total space of parameters %d is smaller "
"than n_iter=%d. For exhaustive searches, use "
"GridSearchCV." % (grid_size, self.n_iter))
for i in sample_without_replacement(grid_size, self.n_iter,
random_state=rnd):
yield param_grid[i]
else:
# Always sort the keys of a dictionary, for reproducibility
items = sorted(self.param_distributions.items())
for _ in six.moves.range(self.n_iter):
params = dict()
for k, v in items:
if hasattr(v, "rvs"):
if sp_version < (0, 16):
params[k] = v.rvs()
else:
params[k] = v.rvs(random_state=rnd)
else:
params[k] = v[rnd.randint(len(v))]
yield params
def __len__(self):
"""Number of points that will be sampled."""
return self.n_iter
def fit_grid_point(X, y, estimator, parameters, train, test, scorer,
verbose, error_score='raise', **fit_params):
"""Run fit on one set of parameters.
Parameters
----------
X : array-like, sparse matrix or list
Input data.
y : array-like or None
Targets for input data.
estimator : estimator object
A object of that type is instantiated for each grid point.
This is assumed to implement the scikit-learn estimator interface.
Either estimator needs to provide a ``score`` function,
or ``scoring`` must be passed.
parameters : dict
Parameters to be set on estimator for this grid point.
train : ndarray, dtype int or bool
Boolean mask or indices for training set.
test : ndarray, dtype int or bool
Boolean mask or indices for test set.
scorer : callable or None.
If provided must be a scorer callable object / function with signature
``scorer(estimator, X, y)``.
verbose : int
Verbosity level.
**fit_params : kwargs
Additional parameter passed to the fit function of the estimator.
error_score : 'raise' (default) or numeric
Value to assign to the score if an error occurs in estimator fitting.
If set to 'raise', the error is raised. If a numeric value is given,
FitFailedWarning is raised. This parameter does not affect the refit
step, which will always raise the error.
Returns
-------
score : float
Score of this parameter setting on given training / test split.
parameters : dict
The parameters that have been evaluated.
n_samples_test : int
Number of test samples in this split.
"""
score, n_samples_test, _ = _fit_and_score(estimator, X, y, scorer, train,
test, verbose, parameters,
fit_params, error_score)
return score, parameters, n_samples_test
def _check_param_grid(param_grid):
if hasattr(param_grid, 'items'):
param_grid = [param_grid]
for p in param_grid:
for v in p.values():
if isinstance(v, np.ndarray) and v.ndim > 1:
raise ValueError("Parameter array should be one-dimensional.")
check = [isinstance(v, k) for k in (list, tuple, np.ndarray)]
if True not in check:
raise ValueError("Parameter values should be a list.")
if len(v) == 0:
raise ValueError("Parameter values should be a non-empty "
"list.")
# XXX Remove in 0.20
class _CVScoreTuple (namedtuple('_CVScoreTuple',
('parameters',
'mean_validation_score',
'cv_validation_scores'))):
# A raw namedtuple is very memory efficient as it packs the attributes
# in a struct to get rid of the __dict__ of attributes in particular it
# does not copy the string for the keys on each instance.
# By deriving a namedtuple class just to introduce the __repr__ method we
# would also reintroduce the __dict__ on the instance. By telling the
# Python interpreter that this subclass uses static __slots__ instead of
# dynamic attributes. Furthermore we don't need any additional slot in the
# subclass so we set __slots__ to the empty tuple.
__slots__ = ()
def __repr__(self):
"""Simple custom repr to summarize the main info"""
return "mean: {0:.5f}, std: {1:.5f}, params: {2}".format(
self.mean_validation_score,
np.std(self.cv_validation_scores),
self.parameters)
class BaseSearchCV(six.with_metaclass(ABCMeta, BaseEstimator,
MetaEstimatorMixin)):
"""Base class for hyper parameter search with cross-validation."""
@abstractmethod
def __init__(self, estimator, scoring=None,
fit_params=None, n_jobs=1, iid=True,
refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs',
error_score='raise'):
self.scoring = scoring
self.estimator = estimator
self.n_jobs = n_jobs
self.fit_params = fit_params if fit_params is not None else {}
self.iid = iid
self.refit = refit
self.cv = cv
self.verbose = verbose
self.pre_dispatch = pre_dispatch
self.error_score = error_score
@property
def _estimator_type(self):
return self.estimator._estimator_type
def score(self, X, y=None):
"""Returns the score on the given data, if the estimator has been refit.
This uses the score defined by ``scoring`` where provided, and the
``best_estimator_.score`` method otherwise.
Parameters
----------
X : array-like, shape = [n_samples, n_features]
Input data, where n_samples is the number of samples and
n_features is the number of features.
y : array-like, shape = [n_samples] or [n_samples, n_output], optional
Target relative to X for classification or regression;
None for unsupervised learning.
Returns
-------
score : float
"""
if self.scorer_ is None:
raise ValueError("No score function explicitly defined, "
"and the estimator doesn't provide one %s"<｜fim▁hole｜> % self.best_estimator_)
return self.scorer_(self.best_estimator_, X, y)
def _check_is_fitted(self, method_name):
if not self.refit:
raise NotFittedError(('This GridSearchCV instance was initialized '
'with refit=False. %s is '
'available only after refitting on the best '
'parameters. ') % method_name)
else:
check_is_fitted(self, 'best_estimator_')
@if_delegate_has_method(delegate='estimator')
def predict(self, X):
"""Call predict on the estimator with the best found parameters.
Only available if ``refit=True`` and the underlying estimator supports
``predict``.
Parameters
-----------
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('predict')
return self.best_estimator_.predict(X)
@if_delegate_has_method(delegate='estimator')
def predict_proba(self, X):
"""Call predict_proba on the estimator with the best found parameters.
Only available if ``refit=True`` and the underlying estimator supports
``predict_proba``.
Parameters
-----------
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('predict_proba')
return self.best_estimator_.predict_proba(X)
@if_delegate_has_method(delegate='estimator')
def predict_log_proba(self, X):
"""Call predict_log_proba on the estimator with the best found parameters.
Only available if ``refit=True`` and the underlying estimator supports
``predict_log_proba``.
Parameters
-----------
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('predict_log_proba')
return self.best_estimator_.predict_log_proba(X)
@if_delegate_has_method(delegate='estimator')
def decision_function(self, X):
"""Call decision_function on the estimator with the best found parameters.
Only available if ``refit=True`` and the underlying estimator supports
``decision_function``.
Parameters
-----------
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('decision_function')
return self.best_estimator_.decision_function(X)
@if_delegate_has_method(delegate='estimator')
def transform(self, X):
"""Call transform on the estimator with the best found parameters.
Only available if the underlying estimator supports ``transform`` and
``refit=True``.
Parameters
-----------
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('transform')
return self.best_estimator_.transform(X)
@if_delegate_has_method(delegate='estimator')
def inverse_transform(self, Xt):
"""Call inverse_transform on the estimator with the best found params.
Only available if the underlying estimator implements
``inverse_transform`` and ``refit=True``.
Parameters
-----------
Xt : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.
"""
self._check_is_fitted('inverse_transform')
return self.best_estimator_.transform(Xt)
def _fit(self, X, y, labels, parameter_iterable):
"""Actual fitting, performing the search over parameters."""
estimator = self.estimator
cv = check_cv(self.cv, y, classifier=is_classifier(estimator))
self.scorer_ = check_scoring(self.estimator, scoring=self.scoring)
X, y, labels = indexable(X, y, labels)
n_splits = cv.get_n_splits(X, y, labels)
if self.verbose > 0 and isinstance(parameter_iterable, Sized):
n_candidates = len(parameter_iterable)
print("Fitting {0} folds for each of {1} candidates, totalling"
" {2} fits".format(n_splits, n_candidates,
n_candidates * n_splits))
base_estimator = clone(self.estimator)
pre_dispatch = self.pre_dispatch
out = Parallel(
n_jobs=self.n_jobs, verbose=self.verbose,
pre_dispatch=pre_dispatch
)(delayed(_fit_and_score)(clone(base_estimator), X, y, self.scorer_,
train, test, self.verbose, parameters,
self.fit_params, return_parameters=True,
error_score=self.error_score)
for parameters in parameter_iterable
for train, test in cv.split(X, y, labels))
test_scores, test_sample_counts, _, parameters = zip(*out)
candidate_params = parameters[::n_splits]
n_candidates = len(candidate_params)
test_scores = np.array(test_scores,
dtype=np.float64).reshape(n_candidates,
n_splits)
# NOTE test_sample counts (weights) remain the same for all candidates
test_sample_counts = np.array(test_sample_counts[:n_splits],
dtype=np.int)
# Computed the (weighted) mean and std for all the candidates
weights = test_sample_counts if self.iid else None
means = np.average(test_scores, axis=1, weights=weights)
stds = np.sqrt(np.average((test_scores - means[:, np.newaxis]) ** 2,
axis=1, weights=weights))
results = dict()
for split_i in range(n_splits):
results["test_split%d_score" % split_i] = test_scores[:, split_i]
results["test_mean_score"] = means
results["test_std_score"] = stds
ranks = np.asarray(rankdata(-means, method='min'), dtype=np.int32)
best_index = np.flatnonzero(ranks == 1)[0]
best_parameters = candidate_params[best_index]
results["test_rank_score"] = ranks
# Use one np.MaskedArray and mask all the places where the param is not
# applicable for that candidate. Use defaultdict as each candidate may
# not contain all the params
param_results = defaultdict(partial(np.ma.masked_all, (n_candidates,),
dtype=object))
for cand_i, params in enumerate(candidate_params):
for name, value in params.items():
# An all masked empty array gets created for the key
# `"param_%s" % name` at the first occurence of `name`.
# Setting the value at an index also unmasks that index
param_results["param_%s" % name][cand_i] = value
results.update(param_results)
# Store a list of param dicts at the key 'params'
results['params'] = candidate_params
self.results_ = results
self.best_index_ = best_index
self.n_splits_ = n_splits
if self.refit:
# fit the best estimator using the entire dataset
# clone first to work around broken estimators
best_estimator = clone(base_estimator).set_params(
**best_parameters)
if y is not None:
best_estimator.fit(X, y, **self.fit_params)
else:
best_estimator.fit(X, **self.fit_params)
self.best_estimator_ = best_estimator
return self
@property
def best_params_(self):
check_is_fitted(self, 'results_')
return self.results_['params'][self.best_index_]
@property
def best_score_(self):
check_is_fitted(self, 'results_')
return self.results_['test_mean_score'][self.best_index_]
@property
def grid_scores_(self):
warnings.warn(
"The grid_scores_ attribute was deprecated in version 0.18"
" in favor of the more elaborate results_ attribute."
" The grid_scores_ attribute will not be available from 0.20",
DeprecationWarning)
check_is_fitted(self, 'results_')
grid_scores = list()
for i, (params, mean, std) in enumerate(zip(
self.results_['params'],
self.results_['test_mean_score'],
self.results_['test_std_score'])):
scores = np.array(list(self.results_['test_split%d_score' % s][i]
for s in range(self.n_splits_)),
dtype=np.float64)
grid_scores.append(_CVScoreTuple(params, mean, scores))
return grid_scores
class GridSearchCV(BaseSearchCV):
"""Exhaustive search over specified parameter values for an estimator.
Important members are fit, predict.
GridSearchCV implements a "fit" and a "score" method.
It also implements "predict", "predict_proba", "decision_function",
"transform" and "inverse_transform" if they are implemented in the
estimator used.
The parameters of the estimator used to apply these methods are optimized
by cross-validated grid-search over a parameter grid.
Read more in the :ref:`User Guide <grid_search>`.
Parameters
----------
estimator : estimator object.
This is assumed to implement the scikit-learn estimator interface.
Either estimator needs to provide a ``score`` function,
or ``scoring`` must be passed.
param_grid : dict or list of dictionaries
Dictionary with parameters names (string) as keys and lists of
parameter settings to try as values, or a list of such
dictionaries, in which case the grids spanned by each dictionary
in the list are explored. This enables searching over any sequence
of parameter settings.
scoring : string, callable or None, default=None
A string (see model evaluation documentation) or
a scorer callable object / function with signature
``scorer(estimator, X, y)``.
If ``None``, the ``score`` method of the estimator is used.
fit_params : dict, optional
Parameters to pass to the fit method.
n_jobs : int, default=1
Number of jobs to run in parallel.
pre_dispatch : int, or string, optional
Controls the number of jobs that get dispatched during parallel
execution. Reducing this number can be useful to avoid an
explosion of memory consumption when more jobs get dispatched
than CPUs can process. This parameter can be:
- None, in which case all the jobs are immediately
created and spawned. Use this for lightweight and
fast-running jobs, to avoid delays due to on-demand
spawning of the jobs
- An int, giving the exact number of total jobs that are
spawned
- A string, giving an expression as a function of n_jobs,
as in '2*n_jobs'
iid : boolean, default=True
If True, the data is assumed to be identically distributed across
the folds, and the loss minimized is the total loss per sample,
and not the mean loss across the folds.
cv : int, cross-validation generator or an iterable, optional
Determines the cross-validation splitting strategy.
Possible inputs for cv are:
- None, to use the default 3-fold cross validation,
- integer, to specify the number of folds in a `(Stratified)KFold`,
- An object to be used as a cross-validation generator.
- An iterable yielding train, test splits.
For integer/None inputs, if the estimator is a classifier and ``y`` is
either binary or multiclass, :class:`StratifiedKFold` is used. In all
other cases, :class:`KFold` is used.
Refer :ref:`User Guide <cross_validation>` for the various
cross-validation strategies that can be used here.
refit : boolean, default=True
Refit the best estimator with the entire dataset.
If "False", it is impossible to make predictions using
this GridSearchCV instance after fitting.
verbose : integer
Controls the verbosity: the higher, the more messages.
error_score : 'raise' (default) or numeric
Value to assign to the score if an error occurs in estimator fitting.
If set to 'raise', the error is raised. If a numeric value is given,
FitFailedWarning is raised. This parameter does not affect the refit
step, which will always raise the error.
Examples
--------
>>> from sklearn import svm, datasets
>>> from sklearn.model_selection import GridSearchCV
>>> iris = datasets.load_iris()
>>> parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}
>>> svr = svm.SVC()
>>> clf = GridSearchCV(svr, parameters)
>>> clf.fit(iris.data, iris.target)
... # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS
GridSearchCV(cv=None, error_score=...,
estimator=SVC(C=1.0, cache_size=..., class_weight=..., coef0=...,
decision_function_shape=None, degree=..., gamma=...,
kernel='rbf', max_iter=-1, probability=False,
random_state=None, shrinking=True, tol=...,
verbose=False),
fit_params={}, iid=..., n_jobs=1,
param_grid=..., pre_dispatch=..., refit=...,
scoring=..., verbose=...)
>>> sorted(clf.results_.keys())
... # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS
['param_C', 'param_kernel', 'params', 'test_mean_score',...
'test_rank_score', 'test_split0_score', 'test_split1_score',...
'test_split2_score', 'test_std_score']
Attributes
----------
results_ : dict of numpy (masked) ndarrays
A dict with keys as column headers and values as columns, that can be
imported into a pandas ``DataFrame``.
For instance the below given table
+------------+-----------+------------+-----------------+---+---------+
|param_kernel|param_gamma|param_degree|test_split0_score|...|...rank..|
+============+===========+============+=================+===+=========+
| 'poly' | -- | 2 | 0.8 |...| 2 |
+------------+-----------+------------+-----------------+---+---------+
| 'poly' | -- | 3 | 0.7 |...| 4 |
+------------+-----------+------------+-----------------+---+---------+
| 'rbf' | 0.1 | -- | 0.8 |...| 3 |
+------------+-----------+------------+-----------------+---+---------+
| 'rbf' | 0.2 | -- | 0.9 |...| 1 |
+------------+-----------+------------+-----------------+---+---------+
will be represented by a ``results_`` dict of::
{
'param_kernel': masked_array(data = ['poly', 'poly', 'rbf', 'rbf'],
mask = [False False False False]...)
'param_gamma': masked_array(data = [-- -- 0.1 0.2],
mask = [ True True False False]...),
'param_degree': masked_array(data = [2.0 3.0 -- --],
mask = [False False True True]...),
'test_split0_score' : [0.8, 0.7, 0.8, 0.9],
'test_split1_score' : [0.82, 0.5, 0.7, 0.78],
'test_mean_score' : [0.81, 0.60, 0.75, 0.82],
'test_std_score' : [0.02, 0.01, 0.03, 0.03],
'test_rank_score' : [2, 4, 3, 1],
'params' : [{'kernel': 'poly', 'degree': 2}, ...],
}
NOTE that the key ``'params'`` is used to store a list of parameter
settings dict for all the parameter candidates.
best_estimator_ : estimator
Estimator that was chosen by the search, i.e. estimator
which gave highest score (or smallest loss if specified)
on the left out data. Not available if refit=False.
best_score_ : float
Score of best_estimator on the left out data.
best_params_ : dict
Parameter setting that gave the best results on the hold out data.
best_index_ : int
The index (of the ``results_`` arrays) which corresponds to the best
candidate parameter setting.
The dict at ``search.results_['params'][search.best_index_]`` gives
the parameter setting for the best model, that gives the highest
mean score (``search.best_score_``).
scorer_ : function
Scorer function used on the held out data to choose the best
parameters for the model.
n_splits_ : int
The number of cross-validation splits (folds/iterations).
Notes
------
The parameters selected are those that maximize the score of the left out
data, unless an explicit score is passed in which case it is used instead.
If `n_jobs` was set to a value higher than one, the data is copied for each
point in the grid (and not `n_jobs` times). This is done for efficiency
reasons if individual jobs take very little time, but may raise errors if
the dataset is large and not enough memory is available. A workaround in
this case is to set `pre_dispatch`. Then, the memory is copied only
`pre_dispatch` many times. A reasonable value for `pre_dispatch` is `2 *
n_jobs`.
See Also
---------
:class:`ParameterGrid`:
generates all the combinations of a hyperparameter grid.
:func:`sklearn.model_selection.train_test_split`:
utility function to split the data into a development set usable
for fitting a GridSearchCV instance and an evaluation set for
its final evaluation.
:func:`sklearn.metrics.make_scorer`:
Make a scorer from a performance metric or loss function.
"""
def __init__(self, estimator, param_grid, scoring=None, fit_params=None,
n_jobs=1, iid=True, refit=True, cv=None, verbose=0,
pre_dispatch='2*n_jobs', error_score='raise'):
super(GridSearchCV, self).__init__(
estimator=estimator, scoring=scoring, fit_params=fit_params,
n_jobs=n_jobs, iid=iid, refit=refit, cv=cv, verbose=verbose,
pre_dispatch=pre_dispatch, error_score=error_score)
self.param_grid = param_grid
_check_param_grid(param_grid)
def fit(self, X, y=None, labels=None):
"""Run fit with all sets of parameters.
Parameters
----------
X : array-like, shape = [n_samples, n_features]
Training vector, where n_samples is the number of samples and
n_features is the number of features.
y : array-like, shape = [n_samples] or [n_samples, n_output], optional
Target relative to X for classification or regression;
None for unsupervised learning.
labels : array-like, with shape (n_samples,), optional
Group labels for the samples used while splitting the dataset into
train/test set.
"""
return self._fit(X, y, labels, ParameterGrid(self.param_grid))
class RandomizedSearchCV(BaseSearchCV):
"""Randomized search on hyper parameters.
RandomizedSearchCV implements a "fit" and a "score" method.
It also implements "predict", "predict_proba", "decision_function",
"transform" and "inverse_transform" if they are implemented in the
estimator used.
The parameters of the estimator used to apply these methods are optimized
by cross-validated search over parameter settings.
In contrast to GridSearchCV, not all parameter values are tried out, but
rather a fixed number of parameter settings is sampled from the specified
distributions. The number of parameter settings that are tried is
given by n_iter.
If all parameters are presented as a list,
sampling without replacement is performed. If at least one parameter
is given as a distribution, sampling with replacement is used.
It is highly recommended to use continuous distributions for continuous
parameters.
Read more in the :ref:`User Guide <randomized_parameter_search>`.
Parameters
----------
estimator : estimator object.
A object of that type is instantiated for each grid point.
This is assumed to implement the scikit-learn estimator interface.
Either estimator needs to provide a ``score`` function,
or ``scoring`` must be passed.
param_distributions : dict
Dictionary with parameters names (string) as keys and distributions
or lists of parameters to try. Distributions must provide a ``rvs``
method for sampling (such as those from scipy.stats.distributions).
If a list is given, it is sampled uniformly.
n_iter : int, default=10
Number of parameter settings that are sampled. n_iter trades
off runtime vs quality of the solution.
scoring : string, callable or None, default=None
A string (see model evaluation documentation) or
a scorer callable object / function with signature
``scorer(estimator, X, y)``.
If ``None``, the ``score`` method of the estimator is used.
fit_params : dict, optional
Parameters to pass to the fit method.
n_jobs : int, default=1
Number of jobs to run in parallel.
pre_dispatch : int, or string, optional
Controls the number of jobs that get dispatched during parallel
execution. Reducing this number can be useful to avoid an
explosion of memory consumption when more jobs get dispatched
than CPUs can process. This parameter can be:
- None, in which case all the jobs are immediately
created and spawned. Use this for lightweight and
fast-running jobs, to avoid delays due to on-demand
spawning of the jobs
- An int, giving the exact number of total jobs that are
spawned
- A string, giving an expression as a function of n_jobs,
as in '2*n_jobs'
iid : boolean, default=True
If True, the data is assumed to be identically distributed across
the folds, and the loss minimized is the total loss per sample,
and not the mean loss across the folds.
cv : int, cross-validation generator or an iterable, optional
Determines the cross-validation splitting strategy.
Possible inputs for cv are:
- None, to use the default 3-fold cross validation,
- integer, to specify the number of folds in a `(Stratified)KFold`,
- An object to be used as a cross-validation generator.
- An iterable yielding train, test splits.
For integer/None inputs, if the estimator is a classifier and ``y`` is
either binary or multiclass, :class:`StratifiedKFold` is used. In all
other cases, :class:`KFold` is used.
Refer :ref:`User Guide <cross_validation>` for the various
cross-validation strategies that can be used here.
refit : boolean, default=True
Refit the best estimator with the entire dataset.
If "False", it is impossible to make predictions using
this RandomizedSearchCV instance after fitting.
verbose : integer
Controls the verbosity: the higher, the more messages.
random_state : int or RandomState
Pseudo random number generator state used for random uniform sampling
from lists of possible values instead of scipy.stats distributions.
error_score : 'raise' (default) or numeric
Value to assign to the score if an error occurs in estimator fitting.
If set to 'raise', the error is raised. If a numeric value is given,
FitFailedWarning is raised. This parameter does not affect the refit
step, which will always raise the error.
Attributes
----------
results_ : dict of numpy (masked) ndarrays
A dict with keys as column headers and values as columns, that can be
imported into a pandas ``DataFrame``.
For instance the below given table
+--------------+-------------+-------------------+---+---------------+
| param_kernel | param_gamma | test_split0_score |...|test_rank_score|
+==============+=============+===================+===+===============+
| 'rbf' | 0.1 | 0.8 |...| 2 |
+--------------+-------------+-------------------+---+---------------+
| 'rbf' | 0.2 | 0.9 |...| 1 |
+--------------+-------------+-------------------+---+---------------+
| 'rbf' | 0.3 | 0.7 |...| 1 |
+--------------+-------------+-------------------+---+---------------+
will be represented by a ``results_`` dict of::
{
'param_kernel' : masked_array(data = ['rbf', rbf', 'rbf'],
mask = False),
'param_gamma' : masked_array(data = [0.1 0.2 0.3], mask = False),
'test_split0_score' : [0.8, 0.9, 0.7],
'test_split1_score' : [0.82, 0.5, 0.7],
'test_mean_score' : [0.81, 0.7, 0.7],
'test_std_score' : [0.02, 0.2, 0.],
'test_rank_score' : [3, 1, 1],
'params' : [{'kernel' : 'rbf', 'gamma' : 0.1}, ...],
}
NOTE that the key ``'params'`` is used to store a list of parameter
settings dict for all the parameter candidates.
best_estimator_ : estimator
Estimator that was chosen by the search, i.e. estimator
which gave highest score (or smallest loss if specified)
on the left out data. Not available if refit=False.
best_score_ : float
Score of best_estimator on the left out data.
best_params_ : dict
Parameter setting that gave the best results on the hold out data.
best_index_ : int
The index (of the ``results_`` arrays) which corresponds to the best
candidate parameter setting.
The dict at ``search.results_['params'][search.best_index_]`` gives
the parameter setting for the best model, that gives the highest
mean score (``search.best_score_``).
scorer_ : function
Scorer function used on the held out data to choose the best
parameters for the model.
n_splits_ : int
The number of cross-validation splits (folds/iterations).
Notes
-----
The parameters selected are those that maximize the score of the held-out
data, according to the scoring parameter.
If `n_jobs` was set to a value higher than one, the data is copied for each
parameter setting(and not `n_jobs` times). This is done for efficiency
reasons if individual jobs take very little time, but may raise errors if
the dataset is large and not enough memory is available. A workaround in
this case is to set `pre_dispatch`. Then, the memory is copied only
`pre_dispatch` many times. A reasonable value for `pre_dispatch` is `2 *
n_jobs`.
See Also
--------
:class:`GridSearchCV`:
Does exhaustive search over a grid of parameters.
:class:`ParameterSampler`:
A generator over parameter settins, constructed from
param_distributions.
"""
def __init__(self, estimator, param_distributions, n_iter=10, scoring=None,
fit_params=None, n_jobs=1, iid=True, refit=True, cv=None,
verbose=0, pre_dispatch='2*n_jobs', random_state=None,
error_score='raise'):
self.param_distributions = param_distributions
self.n_iter = n_iter
self.random_state = random_state
super(RandomizedSearchCV, self).__init__(
estimator=estimator, scoring=scoring, fit_params=fit_params,
n_jobs=n_jobs, iid=iid, refit=refit, cv=cv, verbose=verbose,
pre_dispatch=pre_dispatch, error_score=error_score)
def fit(self, X, y=None, labels=None):
"""Run fit on the estimator with randomly drawn parameters.
Parameters
----------
X : array-like, shape = [n_samples, n_features]
Training vector, where n_samples in the number of samples and
n_features is the number of features.
y : array-like, shape = [n_samples] or [n_samples, n_output], optional
Target relative to X for classification or regression;
None for unsupervised learning.
labels : array-like, with shape (n_samples,), optional
Group labels for the samples used while splitting the dataset into
train/test set.
"""
sampled_params = ParameterSampler(self.param_distributions,
self.n_iter,
random_state=self.random_state)
return self._fit(X, y, labels, sampled_params)<｜fim▁end｜> | |
<|file_name|>render.rs<|end_file_name|><｜fim▁begin｜>// Copyright 2013 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
//! Rustdoc's HTML Rendering module
//!
//! This modules contains the bulk of the logic necessary for rendering a
//! rustdoc `clean::Crate` instance to a set of static HTML pages. This
//! rendering process is largely driven by the `format!` syntax extension to
//! perform all I/O into files and streams.
//!
//! The rendering process is largely driven by the `Context` and `Cache`
//! structures. The cache is pre-populated by crawling the crate in question,
//! and then it is shared among the various rendering tasks. The cache is meant
//! to be a fairly large structure not implementing `Clone` (because it's shared
//! among tasks). The context, however, should be a lightweight structure. This
//! is cloned per-task and contains information about what is currently being
//! rendered.
//!
//! In order to speed up rendering (mostly because of markdown rendering), the
//! rendering process has been parallelized. This parallelization is only
//! exposed through the `crate` method on the context, and then also from the
//! fact that the shared cache is stored in TLS (and must be accessed as such).
//!
//! In addition to rendering the crate itself, this module is also responsible
//! for creating the corresponding search index and source file renderings.
//! These tasks are not parallelized (they haven't been a bottleneck yet), and
//! both occur before the crate is rendered.
use std::cell::Cell;
use std::comm::{SharedPort, SharedChan};
use std::comm;
use std::fmt;
use std::hashmap::{HashMap, HashSet};
use std::local_data;
use std::rt::io::buffered::BufferedWriter;
use std::rt::io::file::{FileInfo, DirectoryInfo};
use std::rt::io::file;
use std::rt::io;
use std::rt::io::Reader;
use std::str;
use std::task;
use std::unstable::finally::Finally;
use std::vec;
use extra::arc::RWArc;
use extra::json::ToJson;
use extra::sort;
use syntax::ast;
use syntax::attr;
use clean;
use doctree;
use fold::DocFolder;
use html::escape::Escape;
use html::format::{VisSpace, Method, PuritySpace};
use html::layout;
use html::markdown::Markdown;
/// Major driving force in all rustdoc rendering. This contains information
/// about where in the tree-like hierarchy rendering is occurring and controls
/// how the current page is being rendered.
///
/// It is intended that this context is a lightweight object which can be fairly
/// easily cloned because it is cloned per work-job (about once per item in the
/// rustdoc tree).
#[deriving(Clone)]
pub struct Context {
/// Current hierarchy of components leading down to what's currently being
/// rendered
current: ~[~str],
/// String representation of how to get back to the root path of the 'doc/'
/// folder in terms of a relative URL.
root_path: ~str,
/// The current destination folder of where HTML artifacts should be placed.
/// This changes as the context descends into the module hierarchy.
dst: Path,
/// This describes the layout of each page, and is not modified after
/// creation of the context (contains info like the favicon)
layout: layout::Layout,
/// This map is a list of what should be displayed on the sidebar of the
/// current page. The key is the section header (traits, modules,
/// functions), and the value is the list of containers belonging to this
/// header. This map will change depending on the surrounding context of the
/// page.
sidebar: HashMap<~str, ~[~str]>,
/// This flag indicates whether [src] links should be generated or not. If
/// the source files are present in the html rendering, then this will be
/// `true`.
include_sources: bool,
}
/// Indicates where an external crate can be found.
pub enum ExternalLocation {
/// Remote URL root of the external crate
Remote(~str),
/// This external crate can be found in the local doc/ folder
Local,
/// The external crate could not be found.
Unknown,
}
/// Different ways an implementor of a trait can be rendered.
enum Implementor {
/// Paths are displayed specially by omitting the `impl XX for` cruft
PathType(clean::Type),
/// This is the generic representation of an trait implementor, used for
/// primitive types and otherwise non-path types.
OtherType(clean::Generics, /* trait */ clean::Type, /* for */ clean::Type),
}
/// This cache is used to store information about the `clean::Crate` being
/// rendered in order to provide more useful documentation. This contains
/// information like all implementors of a trait, all traits a type implements,
/// documentation for all known traits, etc.
///
/// This structure purposefully does not implement `Clone` because it's intended
/// to be a fairly large and expensive structure to clone. Instead this adheres
/// to both `Send` and `Freeze` so it may be stored in a `RWArc` instance and
/// shared among the various rendering tasks.
pub struct Cache {
/// Mapping of typaram ids to the name of the type parameter. This is used
/// when pretty-printing a type (so pretty printing doesn't have to
/// painfully maintain a context like this)
typarams: HashMap<ast::NodeId, ~str>,
/// Maps a type id to all known implementations for that type. This is only
/// recognized for intra-crate `ResolvedPath` types, and is used to print
/// out extra documentation on the page of an enum/struct.
///
/// The values of the map are a list of implementations and documentation
/// found on that implementation.
impls: HashMap<ast::NodeId, ~[(clean::Impl, Option<~str>)]>,
/// Maintains a mapping of local crate node ids to the fully qualified name
/// and "short type description" of that node. This is used when generating
/// URLs when a type is being linked to. External paths are not located in
/// this map because the `External` type itself has all the information
/// necessary.
paths: HashMap<ast::NodeId, (~[~str], &'static str)>,
/// This map contains information about all known traits of this crate.
/// Implementations of a crate should inherit the documentation of the
/// parent trait if no extra documentation is specified, and this map is
/// keyed on trait id with a value of a 'method name => documentation'
/// mapping.
traits: HashMap<ast::NodeId, HashMap<~str, ~str>>,
/// When rendering traits, it's often useful to be able to list all
/// implementors of the trait, and this mapping is exactly, that: a mapping
/// of trait ids to the list of known implementors of the trait
implementors: HashMap<ast::NodeId, ~[Implementor]>,
/// Cache of where external crate documentation can be found.
extern_locations: HashMap<ast::CrateNum, ExternalLocation>,
// Private fields only used when initially crawling a crate to build a cache
priv stack: ~[~str],
priv parent_stack: ~[ast::NodeId],
priv search_index: ~[IndexItem],
}
/// Helper struct to render all source code to HTML pages
struct SourceCollector<'self> {
cx: &'self mut Context,
/// Processed source-file paths
seen: HashSet<~str>,
/// Root destination to place all HTML output into
dst: Path,
}
/// Wrapper struct to render the source code of a file. This will do things like
/// adding line numbers to the left-hand side.
struct Source<'self>(&'self str);
// Helper structs for rendering items/sidebars and carrying along contextual
// information
struct Item<'self> { cx: &'self Context, item: &'self clean::Item, }
struct Sidebar<'self> { cx: &'self Context, item: &'self clean::Item, }
/// Struct representing one entry in the JS search index. These are all emitted
/// by hand to a large JS file at the end of cache-creation.
struct IndexItem {
ty: &'static str,
name: ~str,
path: ~str,
desc: ~str,
parent: Option<ast::NodeId>,
}
// TLS keys used to carry information around during rendering.
local_data_key!(pub cache_key: RWArc<Cache>)
local_data_key!(pub current_location_key: ~[~str])
/// Generates the documentation for `crate` into the directory `dst`
pub fn run(mut crate: clean::Crate, dst: Path) {
let mut cx = Context {
dst: dst,
current: ~[],
root_path: ~"",
sidebar: HashMap::new(),
layout: layout::Layout {
logo: ~"",
favicon: ~"",
crate: crate.name.clone(),
},
include_sources: true,
};
mkdir(&cx.dst);
match crate.module.as_ref().map(|m| m.doc_list().unwrap_or(&[])) {
Some(attrs) => {
for attr in attrs.iter() {
match *attr {
clean::NameValue(~"html_favicon_url", ref s) => {
cx.layout.favicon = s.to_owned();
}
clean::NameValue(~"html_logo_url", ref s) => {
cx.layout.logo = s.to_owned();
}
clean::Word(~"html_no_source") => {
cx.include_sources = false;
}
_ => {}
}
}
}
None => {}
}
// Crawl the crate to build various caches used for the output
let mut cache = Cache {
impls: HashMap::new(),
typarams: HashMap::new(),
paths: HashMap::new(),
traits: HashMap::new(),
implementors: HashMap::new(),
stack: ~[],
parent_stack: ~[],
search_index: ~[],
extern_locations: HashMap::new(),
};
cache.stack.push(crate.name.clone());
crate = cache.fold_crate(crate);
// Add all the static files
let mut dst = cx.dst.join(crate.name.as_slice());
mkdir(&dst);
write(dst.join("jquery.js"), include_str!("static/jquery-2.0.3.min.js"));
write(dst.join("main.js"), include_str!("static/main.js"));
write(dst.join("main.css"), include_str!("static/main.css"));
write(dst.join("normalize.css"), include_str!("static/normalize.css"));
// Publish the search index
{
dst.push("search-index.js");
let mut w = BufferedWriter::new(dst.open_writer(io::CreateOrTruncate));
let w = &mut w as &mut io::Writer;
write!(w, "var searchIndex = [");
for (i, item) in cache.search_index.iter().enumerate() {
if i > 0 { write!(w, ","); }
write!(w, "\\{ty:\"{}\",name:\"{}\",path:\"{}\",desc:{}",
item.ty, item.name, item.path,
item.desc.to_json().to_str())
match item.parent {
Some(id) => { write!(w, ",parent:'{}'", id); }
None => {}
}
write!(w, "\\}");
}
write!(w, "];");
write!(w, "var allPaths = \\{");
for (i, (&id, &(ref fqp, short))) in cache.paths.iter().enumerate() {
if i > 0 { write!(w, ","); }
write!(w, "'{}':\\{type:'{}',name:'{}'\\}", id, short, *fqp.last());
}
write!(w, "\\};");
w.flush();
}
// Render all source files (this may turn into a giant no-op)
{
info2!("emitting source files");
let dst = cx.dst.join("src");
mkdir(&dst);
let dst = dst.join(crate.name.as_slice());
mkdir(&dst);
let mut folder = SourceCollector {
dst: dst,
seen: HashSet::new(),
cx: &mut cx,
};
crate = folder.fold_crate(crate);
}
for (&n, e) in crate.externs.iter() {
cache.extern_locations.insert(n, extern_location(e, &cx.dst));
}
// And finally render the whole crate's documentation
cx.crate(crate, cache);
}
/// Writes the entire contents of a string to a destination, not attempting to
/// catch any errors.
fn write(dst: Path, contents: &str) {
let mut w = dst.open_writer(io::CreateOrTruncate);
w.write(contents.as_bytes());
}
/// Makes a directory on the filesystem, failing the task if an error occurs and
/// skipping if the directory already exists.
fn mkdir(path: &Path) {
do io::io_error::cond.trap(|err| {
error2!("Couldn't create directory `{}`: {}",
path.display(), err.desc);
fail2!()
}).inside {
if !path.is_dir() {
file::mkdir(path);
}
}
}
/// Takes a path to a source file and cleans the path to it. This canonicalizes
/// things like ".." to components which preserve the "top down" hierarchy of a
/// static HTML tree.
// FIXME (#9639): The closure should deal with &[u8] instead of &str
fn clean_srcpath(src: &[u8], f: &fn(&str)) {
let p = Path::new(src);
if p.as_vec() != bytes!(".") {
for c in p.str_component_iter().map(|x|x.unwrap()) {
if ".." == c {
f("up");
} else {
f(c.as_slice())
}
}
}
}
/// Attempts to find where an external crate is located, given that we're
/// rendering in to the specified source destination.
fn extern_location(e: &clean::ExternalCrate, dst: &Path) -> ExternalLocation {
// See if there's documentation generated into the local directory
let local_location = dst.join(e.name.as_slice());
if local_location.is_dir() {
return Local;
}
// Failing that, see if there's an attribute specifying where to find this
// external crate
for attr in e.attrs.iter() {
match *attr {
clean::List(~"doc", ref list) => {
for attr in list.iter() {
match *attr {
clean::NameValue(~"html_root_url", ref s) => {
if s.ends_with("/") {
return Remote(s.to_owned());
}
return Remote(*s + "/");
}
_ => {}
}
}
}
_ => {}
}
}
// Well, at least we tried.
return Unknown;
}
impl<'self> DocFolder for SourceCollector<'self> {
fn fold_item(&mut self, item: clean::Item) -> Option<clean::Item> {
// If we're including source files, and we haven't seen this file yet,
// then we need to render it out to the filesystem
if self.cx.include_sources && !self.seen.contains(&item.source.filename) {
// If it turns out that we couldn't read this file, then we probably
// can't read any of the files (generating html output from json or
// something like that), so just don't include sources for the
// entire crate. The other option is maintaining this mapping on a
// per-file basis, but that's probably not worth it...
self.cx.include_sources = self.emit_source(item.source.filename);
self.seen.insert(item.source.filename.clone());
if !self.cx.include_sources {
println!("warning: source code was requested to be rendered, \
but `{}` is a missing source file.",
item.source.filename);
println!(" skipping rendering of source code");
}
}
self.fold_item_recur(item)
}
}
impl<'self> SourceCollector<'self> {
/// Renders the given filename into its corresponding HTML source file.
fn emit_source(&mut self, filename: &str) -> bool {
let p = Path::new(filename);
// Read the contents of the file
let mut contents = ~[];
{
let mut buf = [0, ..1024];
let r = do io::io_error::cond.trap(|_| {}).inside {
p.open_reader(io::Open)
};
// If we couldn't open this file, then just returns because it
// probably means that it's some standard library macro thing and we
// can't have the source to it anyway.
let mut r = match r {
Some(r) => r,
// eew macro hacks
None => return filename == "<std-macros>"
};
// read everything
loop {
match r.read(buf) {
Some(n) => contents.push_all(buf.slice_to(n)),
None => break
}
}
}
let contents = str::from_utf8_owned(contents);
// Create the intermediate directories
let mut cur = self.dst.clone();
let mut root_path = ~"../../";
do clean_srcpath(p.dirname()) |component| {
cur.push(component);
mkdir(&cur);
root_path.push_str("../");
}
cur.push(p.filename().expect("source has no filename") + bytes!(".html"));
let w = cur.open_writer(io::CreateOrTruncate);
let mut w = BufferedWriter::new(w);
let title = cur.filename_display().with_str(|s| format!("{} -- source", s));
let page = layout::Page {
title: title,
ty: "source",
root_path: root_path,
};
layout::render(&mut w as &mut io::Writer, &self.cx.layout,
&page, &(""), &Source(contents.as_slice()));
w.flush();
return true;
}
}
impl DocFolder for Cache {
fn fold_item(&mut self, item: clean::Item) -> Option<clean::Item> {
// Register any generics to their corresponding string. This is used
// when pretty-printing types
match item.inner {
clean::StructItem(ref s) => self.generics(&s.generics),
clean::EnumItem(ref e) => self.generics(&e.generics),
clean::FunctionItem(ref f) => self.generics(&f.generics),
clean::TypedefItem(ref t) => self.generics(&t.generics),
clean::TraitItem(ref t) => self.generics(&t.generics),
clean::ImplItem(ref i) => self.generics(&i.generics),
clean::TyMethodItem(ref i) => self.generics(&i.generics),
clean::MethodItem(ref i) => self.generics(&i.generics),
_ => {}
}
// Propagate a trait methods' documentation to all implementors of the
// trait
match item.inner {
clean::TraitItem(ref t) => {
let mut dox = HashMap::new();
for meth in t.methods.iter() {
let it = meth.item();
match it.doc_value() {
None => {}
Some(s) => {
dox.insert(it.name.get_ref().to_owned(),
s.to_owned());
}
}
}
self.traits.insert(item.id, dox);
}
_ => {}
}
// Collect all the implementors of traits.
match item.inner {
clean::ImplItem(ref i) => {
match i.trait_ {
Some(clean::ResolvedPath{ id, _ }) => {
let v = do self.implementors.find_or_insert_with(id) |_|{
~[]
};
match i.for_ {
clean::ResolvedPath{_} => {
v.unshift(PathType(i.for_.clone()));
}
_ => {
v.push(OtherType(i.generics.clone(),
i.trait_.get_ref().clone(),
i.for_.clone()));
}
}
}
Some(*) | None => {}
}
}
_ => {}
}
// Index this method for searching later on
match item.name {
Some(ref s) => {
let parent = match item.inner {
clean::TyMethodItem(*) |
clean::StructFieldItem(*) |
clean::VariantItem(*) => {
Some((Some(*self.parent_stack.last()),
self.stack.slice_to(self.stack.len() - 1)))
}
clean::MethodItem(*) => {
if self.parent_stack.len() == 0 {
None
} else {
let last = self.parent_stack.last();
let amt = match self.paths.find(last) {
Some(&(_, "trait")) => self.stack.len() - 1,
Some(*) | None => self.stack.len(),
};
Some((Some(*last), self.stack.slice_to(amt)))
}
}
_ => Some((None, self.stack.as_slice()))
};
match parent {
Some((parent, path)) => {
self.search_index.push(IndexItem {
ty: shortty(&item),
name: s.to_owned(),
path: path.connect("::"),
desc: shorter(item.doc_value()).to_owned(),
parent: parent,
});
}
None => {}
}
}
None => {}
}
// Keep track of the fully qualified path for this item.
let pushed = if item.name.is_some() {
let n = item.name.get_ref();
if n.len() > 0 {
self.stack.push(n.to_owned());
true
} else { false }
} else { false };
match item.inner {
clean::StructItem(*) | clean::EnumItem(*) |
clean::TypedefItem(*) | clean::TraitItem(*) |
clean::FunctionItem(*) | clean::ModuleItem(*) |
clean::ForeignFunctionItem(*) | clean::VariantItem(*) => {
self.paths.insert(item.id, (self.stack.clone(), shortty(&item)));
}
_ => {}
}
// Maintain the parent stack
let parent_pushed = match item.inner {
clean::TraitItem(*) | clean::EnumItem(*) | clean::StructItem(*) => {
self.parent_stack.push(item.id); true
}
clean::ImplItem(ref i) => {
match i.for_ {
clean::ResolvedPath{ id, _ } => {
self.parent_stack.push(id); true
}
_ => false
}
}
_ => false
};
// Once we've recursively found all the generics, then hoard off all the
// implementations elsewhere
let ret = match self.fold_item_recur(item) {
Some(item) => {
match item {
clean::Item{ attrs, inner: clean::ImplItem(i), _ } => {
match i.for_ {
clean::ResolvedPath { id, _ } => {
let v = do self.impls.find_or_insert_with(id) |_| {
~[]
};
// extract relevant documentation for this impl
match attrs.move_iter().find(|a| {
match *a {
clean::NameValue(~"doc", _) => true,
_ => false
}
}) {
Some(clean::NameValue(_, dox)) => {
v.push((i, Some(dox)));
}
Some(*) | None => {
v.push((i, None));
}
}
}
_ => {}
}
None
}
i => Some(i),
}
}
i => i,
};
if pushed { self.stack.pop(); }
if parent_pushed { self.parent_stack.pop(); }
return ret;
}
}
impl<'self> Cache {
fn generics(&mut self, generics: &clean::Generics) {
for typ in generics.type_params.iter() {
self.typarams.insert(typ.id, typ.name.clone());
}
}
}
impl Context {
/// Recurse in the directory structure and change the "root path" to make
/// sure it always points to the top (relatively)
fn recurse<T>(&mut self, s: ~str, f: &fn(&mut Context) -> T) -> T {
if s.len() == 0 {
fail2!("what {:?}", self);
}
let prev = self.dst.clone();
self.dst.push(s.as_slice());
self.root_path.push_str("../");
self.current.push(s);
mkdir(&self.dst);
let ret = f(self);
// Go back to where we were at
self.dst = prev;
let len = self.root_path.len();
self.root_path.truncate(len - 3);
self.current.pop();
return ret;
}
/// Main method for rendering a crate. This parallelizes the task of
/// rendering a crate, and requires ownership of the crate in order to break
/// it up into its separate components.
fn crate(self, mut crate: clean::Crate, cache: Cache) {
enum Work {
Die,
Process(Context, clean::Item),
}
enum Progress { JobNew, JobDone }
static WORKERS: int = 10;
let mut item = match crate.module.take() {
Some(i) => i,
None => return
};
item.name = Some(crate.name);
let (port, chan) = comm::stream::<Work>();
let port = SharedPort::new(port);
let chan = SharedChan::new(chan);
let (prog_port, prog_chan) = comm::stream();
let prog_chan = SharedChan::new(prog_chan);
let cache = RWArc::new(cache);
// Each worker thread receives work from a shared port and publishes
// new work onto the corresponding shared port. All of the workers are
// using the same channel/port. Through this, the crate is recursed on
// in a hierarchical fashion, and parallelization is only achieved if
// one node in the hierarchy has more than one child (very common).
for i in range(0, WORKERS) {
let port = port.clone();
let chan = chan.clone();
let prog_chan = prog_chan.clone();
let mut task = task::task();
task.unlinked(); // we kill things manually
task.name(format!("worker{}", i));
task.spawn_with(cache.clone(),
|cache| worker(cache, &port, &chan, &prog_chan));
fn worker(cache: RWArc<Cache>,
port: &SharedPort<Work>,
chan: &SharedChan<Work>,
prog_chan: &SharedChan<Progress>) {
#[fixed_stack_segment]; // we hit markdown FFI *a lot*
local_data::set(cache_key, cache);
loop {
match port.recv() {
Process(cx, item) => {
let mut cx = cx;
let item = Cell::new(item);
do (|| {
do cx.item(item.take()) |cx, item| {
prog_chan.send(JobNew);
chan.send(Process(cx.clone(), item));
}
}).finally {
// If we fail, everything else should still get
// completed
prog_chan.send(JobDone);
}
}
Die => break,
}
}
}
}
// Send off the initial job
chan.send(Process(self, item));
let mut jobs = 1;
// Keep track of the number of jobs active in the system and kill
// everything once there are no more jobs remaining.
loop {
match prog_port.recv() {
JobNew => jobs += 1,
JobDone => jobs -= 1,
}
if jobs == 0 { break }
}
for _ in range(0, WORKERS) {
chan.send(Die);
}
}
/// Non-parellelized version of rendering an item. This will take the input
/// item, render its contents, and then invoke the specified closure with
/// all sub-items which need to be rendered.
///
/// The rendering driver uses this closure to queue up more work.
fn item(&mut self, item: clean::Item, f: &fn(&mut Context, clean::Item)) {
fn render(w: io::file::FileWriter, cx: &mut Context, it: &clean::Item,
pushname: bool) {
// A little unfortunate that this is done like this, but it sure
// does make formatting *a lot* nicer.
local_data::set(current_location_key, cx.current.clone());
let mut title = cx.current.connect("::");
if pushname {
if title.len() > 0 { title.push_str("::"); }
title.push_str(*it.name.get_ref());
}
title.push_str(" - Rust");
let page = layout::Page {
ty: shortty(it),
root_path: cx.root_path,
title: title,
};
// We have a huge number of calls to write, so try to alleviate some
// of the pain by using a buffered writer instead of invoking the
// write sycall all the time.
let mut writer = BufferedWriter::new(w);
layout::render(&mut writer as &mut io::Writer, &cx.layout, &page,
&Sidebar{ cx: cx, item: it },
&Item{ cx: cx, item: it });
writer.flush();
}
match item.inner {
// modules are special because they add a namespace. We also need to
// recurse into the items of the module as well.
clean::ModuleItem(*) => {
let name = item.name.get_ref().to_owned();
let item = Cell::new(item);
do self.recurse(name) |this| {
let item = item.take();
let dst = this.dst.join("index.html");
let writer = dst.open_writer(io::CreateOrTruncate);
render(writer.unwrap(), this, &item, false);
let m = match item.inner {
clean::ModuleItem(m) => m,
_ => unreachable!()
};
this.sidebar = build_sidebar(&m);
for item in m.items.move_iter() {
f(this, item);
}
}
}
// Things which don't have names (like impls) don't get special
// pages dedicated to them.
_ if item.name.is_some() => {
let dst = self.dst.join(item_path(&item));
let writer = dst.open_writer(io::CreateOrTruncate);
render(writer.unwrap(), self, &item, true);
}
_ => {}
}
}
}
fn shortty(item: &clean::Item) -> &'static str {
match item.inner {
clean::ModuleItem(*) => "mod",
clean::StructItem(*) => "struct",
clean::EnumItem(*) => "enum",
clean::FunctionItem(*) => "fn",
clean::TypedefItem(*) => "typedef",
clean::StaticItem(*) => "static",
clean::TraitItem(*) => "trait",
clean::ImplItem(*) => "impl",
clean::ViewItemItem(*) => "viewitem",
clean::TyMethodItem(*) => "tymethod",
clean::MethodItem(*) => "method",
clean::StructFieldItem(*) => "structfield",
clean::VariantItem(*) => "variant",
clean::ForeignFunctionItem(*) => "ffi",
clean::ForeignStaticItem(*) => "ffs",
}
}
impl<'self> Item<'self> {
fn ismodule(&self) -> bool {
match self.item.inner {
clean::ModuleItem(*) => true, _ => false
}
}
}
impl<'self> fmt::Default for Item<'self> {
fn fmt(it: &Item<'self>, fmt: &mut fmt::Formatter) {
match attr::find_stability(it.item.attrs.iter()) {
Some(stability) => {
write!(fmt.buf,
"<a class='stability {lvl}' title='{reason}'>{lvl}</a>",
lvl = stability.level.to_str(),
reason = match stability.text {
Some(s) => s, None => @"",
});
}
None => {}
}
if it.cx.include_sources {
let mut path = ~[];
do clean_srcpath(it.item.source.filename.as_bytes()) |component| {
path.push(component.to_owned());
}
let href = if it.item.source.loline == it.item.source.hiline {
format!("{}", it.item.source.loline)
} else {
format!("{}-{}", it.item.source.loline, it.item.source.hiline)
};
write!(fmt.buf,
"<a class='source'
href='{root}src/{crate}/{path}.html\\#{href}'>[src]</a>",
root = it.cx.root_path,
crate = it.cx.layout.crate,
path = path.connect("/"),
href = href);
}
// Write the breadcrumb trail header for the top
write!(fmt.buf, "<h1 class='fqn'>");
match it.item.inner {
clean::ModuleItem(*) => write!(fmt.buf, "Module "),
clean::FunctionItem(*) => write!(fmt.buf, "Function "),
clean::TraitItem(*) => write!(fmt.buf, "Trait "),
clean::StructItem(*) => write!(fmt.buf, "Struct "),
clean::EnumItem(*) => write!(fmt.buf, "Enum "),
_ => {}
}
let cur = it.cx.current.as_slice();
let amt = if it.ismodule() { cur.len() - 1 } else { cur.len() };
for (i, component) in cur.iter().enumerate().take(amt) {
let mut trail = ~"";
for _ in range(0, cur.len() - i - 1) {
trail.push_str("../");
}
write!(fmt.buf, "<a href='{}index.html'>{}</a>::",
trail, component.as_slice());
}
write!(fmt.buf, "<a class='{}' href=''>{}</a></h1>",
shortty(it.item), it.item.name.get_ref().as_slice());
match it.item.inner {
clean::ModuleItem(ref m) => item_module(fmt.buf, it.cx,
it.item, m.items),
clean::FunctionItem(ref f) | clean::ForeignFunctionItem(ref f) =>
item_function(fmt.buf, it.item, f),
clean::TraitItem(ref t) => item_trait(fmt.buf, it.item, t),
clean::StructItem(ref s) => item_struct(fmt.buf, it.item, s),
clean::EnumItem(ref e) => item_enum(fmt.buf, it.item, e),
clean::TypedefItem(ref t) => item_typedef(fmt.buf, it.item, t),
_ => {}
}
}
}
fn item_path(item: &clean::Item) -> ~str {
match item.inner {
clean::ModuleItem(*) => *item.name.get_ref() + "/index.html",
_ => shortty(item) + "." + *item.name.get_ref() + ".html"
}
}
fn full_path(cx: &Context, item: &clean::Item) -> ~str {
let mut s = cx.current.connect("::");
s.push_str("::");
s.push_str(item.name.get_ref().as_slice());
return s;
}
fn blank<'a>(s: Option<&'a str>) -> &'a str {
match s {
Some(s) => s,
None => ""
}
}
fn shorter<'a>(s: Option<&'a str>) -> &'a str {
match s {
Some(s) => match s.find_str("\n\n") {
Some(pos) => s.slice_to(pos),
None => s,
},
None => ""
}
}
fn document(w: &mut io::Writer, item: &clean::Item) {
match item.doc_value() {
Some(s) => {
write!(w, "<div class='docblock'>{}</div>", Markdown(s));
}
None => {}
}
}
fn item_module(w: &mut io::Writer, cx: &Context,
item: &clean::Item, items: &[clean::Item]) {
document(w, item);
debug2!("{:?}", items);
let mut indices = vec::from_fn(items.len(), |i| i);
fn lt(i1: &clean::Item, i2: &clean::Item, idx1: uint, idx2: uint) -> bool {
if shortty(i1) == shortty(i2) {
return i1.name < i2.name;
}
match (&i1.inner, &i2.inner) {
(&clean::ViewItemItem(ref a), &clean::ViewItemItem(ref b)) => {
match (&a.inner, &b.inner) {
(&clean::ExternMod(*), _) => true,
(_, &clean::ExternMod(*)) => false,
_ => idx1 < idx2,
}
}
(&clean::ViewItemItem(*), _) => true,
(_, &clean::ViewItemItem(*)) => false,
(&clean::ModuleItem(*), _) => true,
(_, &clean::ModuleItem(*)) => false,
(&clean::StructItem(*), _) => true,
(_, &clean::StructItem(*)) => false,
(&clean::EnumItem(*), _) => true,
(_, &clean::EnumItem(*)) => false,
(&clean::StaticItem(*), _) => true,
(_, &clean::StaticItem(*)) => false,
(&clean::ForeignFunctionItem(*), _) => true,
(_, &clean::ForeignFunctionItem(*)) => false,
(&clean::ForeignStaticItem(*), _) => true,
(_, &clean::ForeignStaticItem(*)) => false,
(&clean::TraitItem(*), _) => true,
(_, &clean::TraitItem(*)) => false,
(&clean::FunctionItem(*), _) => true,
(_, &clean::FunctionItem(*)) => false,
(&clean::TypedefItem(*), _) => true,
(_, &clean::TypedefItem(*)) => false,
_ => idx1 < idx2,
}
}
debug2!("{:?}", indices);
do sort::quick_sort(indices) |&i1, &i2| {
lt(&items[i1], &items[i2], i1, i2)
}
debug2!("{:?}", indices);
let mut curty = "";
for &idx in indices.iter() {
let myitem = &items[idx];
let myty = shortty(myitem);
if myty != curty {
if curty != "" {
write!(w, "</table>");
}
curty = myty;
write!(w, "<h2>{}</h2>\n<table>", match myitem.inner {
clean::ModuleItem(*) => "Modules",
clean::StructItem(*) => "Structs",
clean::EnumItem(*) => "Enums",
clean::FunctionItem(*) => "Functions",
clean::TypedefItem(*) => "Type Definitions",
clean::StaticItem(*) => "Statics",
clean::TraitItem(*) => "Traits",
clean::ImplItem(*) => "Implementations",
clean::ViewItemItem(*) => "Reexports",
clean::TyMethodItem(*) => "Type Methods",
clean::MethodItem(*) => "Methods",
clean::StructFieldItem(*) => "Struct Fields",
clean::VariantItem(*) => "Variants",
clean::ForeignFunctionItem(*) => "Foreign Functions",
clean::ForeignStaticItem(*) => "Foreign Statics",
});
}
match myitem.inner {
clean::StaticItem(ref s) | clean::ForeignStaticItem(ref s) => {
struct Initializer<'self>(&'self str);
impl<'self> fmt::Default for Initializer<'self> {
fn fmt(s: &Initializer<'self>, f: &mut fmt::Formatter) {
if s.len() == 0 { return; }
write!(f.buf, "<code> = </code>");
let tag = if s.contains("\n") { "pre" } else { "code" };
write!(f.buf, "<{tag}>{}</{tag}>",
s.as_slice(), tag=tag);
}
}
write!(w, "
<tr>
<td><code>{}static {}: {}</code>{}</td>
<td class='docblock'>{} </td>
</tr>
",
VisSpace(myitem.visibility),
*myitem.name.get_ref(),
s.type_,
Initializer(s.expr),
Markdown(blank(myitem.doc_value())));
}
clean::ViewItemItem(ref item) => {
match item.inner {
clean::ExternMod(ref name, ref src, _, _) => {
write!(w, "<tr><td><code>extern mod {}",
name.as_slice());
match *src {
Some(ref src) => write!(w, " = \"{}\"",
src.as_slice()),
None => {}
}
write!(w, ";</code></td></tr>");
}
clean::Import(ref imports) => {
for import in imports.iter() {
write!(w, "<tr><td><code>{}{}</code></td></tr>",
VisSpace(myitem.visibility),
*import);
}
}
}
}
_ => {
if myitem.name.is_none() { continue }
write!(w, "
<tr>
<td><a class='{class}' href='{href}'
title='{title}'>{}</a></td>
<td class='docblock short'>{}</td>
</tr>
",
*myitem.name.get_ref(),
Markdown(shorter(myitem.doc_value())),
class = shortty(myitem),
href = item_path(myitem),
title = full_path(cx, myitem));
}
}
}
write!(w, "</table>");
}
fn item_function(w: &mut io::Writer, it: &clean::Item, f: &clean::Function) {
write!(w, "<pre class='fn'>{vis}{purity}fn {name}{generics}{decl}</pre>",
vis = VisSpace(it.visibility),
purity = PuritySpace(f.purity),
name = it.name.get_ref().as_slice(),
generics = f.generics,
decl = f.decl);
document(w, it);
}
fn item_trait(w: &mut io::Writer, it: &clean::Item, t: &clean::Trait) {
let mut parents = ~"";
if t.parents.len() > 0 {
parents.push_str(": ");
for (i, p) in t.parents.iter().enumerate() {
if i > 0 { parents.push_str(" + "); }
parents.push_str(format!("{}", *p));
}
}
// Output the trait definition
write!(w, "<pre class='trait'>{}trait {}{}{} ",
VisSpace(it.visibility),
it.name.get_ref().as_slice(),
t.generics,
parents);
let required = t.methods.iter().filter(|m| m.is_req()).to_owned_vec();
let provided = t.methods.iter().filter(|m| !m.is_req()).to_owned_vec();
if t.methods.len() == 0 {
write!(w, "\\{ \\}");
} else {
write!(w, "\\{\n");
for m in required.iter() {
write!(w, " ");
render_method(w, m.item(), true);
write!(w, ";\n");
}
if required.len() > 0 && provided.len() > 0 {
w.write("\n".as_bytes());
}
for m in provided.iter() {
write!(w, " ");
render_method(w, m.item(), true);
write!(w, " \\{ ... \\}\n");
}
write!(w, "\\}");
}
write!(w, "</pre>");
// Trait documentation
document(w, it);
fn meth(w: &mut io::Writer, m: &clean::TraitMethod) {
write!(w, "<h3 id='{}.{}' class='method'><code>",
shortty(m.item()),
*m.item().name.get_ref());
render_method(w, m.item(), false);
write!(w, "</code></h3>");
document(w, m.item());
}
// Output the documentation for each function individually
if required.len() > 0 {
write!(w, "
<h2 id='required-methods'>Required Methods</h2>
<div class='methods'>
");
for m in required.iter() {
meth(w, *m);
}
write!(w, "</div>");
}
if provided.len() > 0 {
write!(w, "
<h2 id='provided-methods'>Provided Methods</h2>
<div class='methods'>
");
for m in provided.iter() {
meth(w, *m);
}
write!(w, "</div>");
}
do local_data::get(cache_key) |cache| {
do cache.unwrap().read |cache| {
match cache.implementors.find(&it.id) {
Some(implementors) => {
write!(w, "
<h2 id='implementors'>Implementors</h2>
<ul class='item-list'>
");
for i in implementors.iter() {
match *i {
PathType(ref ty) => {
write!(w, "<li><code>{}</code></li>", *ty);
}
OtherType(ref generics, ref trait_, ref for_) => {
write!(w, "<li><code>impl{} {} for {}</code></li>",
*generics, *trait_, *for_);
}
}<｜fim▁hole｜> None => {}
}
}
}
}
fn render_method(w: &mut io::Writer, meth: &clean::Item, withlink: bool) {
fn fun(w: &mut io::Writer, it: &clean::Item, purity: ast::purity,
g: &clean::Generics, selfty: &clean::SelfTy, d: &clean::FnDecl,
withlink: bool) {
write!(w, "{}fn {withlink, select,
true{<a href='\\#{ty}.{name}'
class='fnname'>{name}</a>}
other{<span class='fnname'>{name}</span>}
}{generics}{decl}",
match purity {
ast::unsafe_fn => "unsafe ",
_ => "",
},
ty = shortty(it),
name = it.name.get_ref().as_slice(),
generics = *g,
decl = Method(selfty, d),
withlink = if withlink {"true"} else {"false"});
}
match meth.inner {
clean::TyMethodItem(ref m) => {
fun(w, meth, m.purity, &m.generics, &m.self_, &m.decl, withlink);
}
clean::MethodItem(ref m) => {
fun(w, meth, m.purity, &m.generics, &m.self_, &m.decl, withlink);
}
_ => unreachable!()
}
}
fn item_struct(w: &mut io::Writer, it: &clean::Item, s: &clean::Struct) {
write!(w, "<pre class='struct'>");
render_struct(w, it, Some(&s.generics), s.struct_type, s.fields,
s.fields_stripped, "", true);
write!(w, "</pre>");
document(w, it);
match s.struct_type {
doctree::Plain => {
write!(w, "<h2 class='fields'>Fields</h2>\n<table>");
for field in s.fields.iter() {
write!(w, "<tr><td id='structfield.{name}'>\
<code>{name}</code></td><td>",
name = field.name.get_ref().as_slice());
document(w, field);
write!(w, "</td></tr>");
}
write!(w, "</table>");
}
_ => {}
}
render_methods(w, it);
}
fn item_enum(w: &mut io::Writer, it: &clean::Item, e: &clean::Enum) {
write!(w, "<pre class='enum'>{}enum {}{}",
VisSpace(it.visibility),
it.name.get_ref().as_slice(),
e.generics);
if e.variants.len() == 0 {
write!(w, " \\{\\}");
} else {
write!(w, " \\{\n");
for v in e.variants.iter() {
write!(w, " ");
let name = v.name.get_ref().as_slice();
match v.inner {
clean::VariantItem(ref var) => {
match var.kind {
clean::CLikeVariant => write!(w, "{}", name),
clean::TupleVariant(ref tys) => {
write!(w, "{}(", name);
for (i, ty) in tys.iter().enumerate() {
if i > 0 { write!(w, ", ") }
write!(w, "{}", *ty);
}
write!(w, ")");
}
clean::StructVariant(ref s) => {
render_struct(w, v, None, s.struct_type, s.fields,
s.fields_stripped, " ", false);
}
}
}
_ => unreachable!()
}
write!(w, ",\n");
}
if e.variants_stripped {
write!(w, " // some variants omitted\n");
}
write!(w, "\\}");
}
write!(w, "</pre>");
document(w, it);
if e.variants.len() > 0 {
write!(w, "<h2 class='variants'>Variants</h2>\n<table>");
for variant in e.variants.iter() {
write!(w, "<tr><td id='variant.{name}'><code>{name}</code></td><td>",
name = variant.name.get_ref().as_slice());
document(w, variant);
write!(w, "</td></tr>");
}
write!(w, "</table>");
}
render_methods(w, it);
}
fn render_struct(w: &mut io::Writer, it: &clean::Item,
g: Option<&clean::Generics>,
ty: doctree::StructType,
fields: &[clean::Item],
fields_stripped: bool,
tab: &str,
structhead: bool) {
write!(w, "{}{}{}",
VisSpace(it.visibility),
if structhead {"struct "} else {""},
it.name.get_ref().as_slice());
match g {
Some(g) => write!(w, "{}", *g),
None => {}
}
match ty {
doctree::Plain => {
write!(w, " \\{\n{}", tab);
for field in fields.iter() {
match field.inner {
clean::StructFieldItem(ref ty) => {
write!(w, " {}{}: {},\n{}",
VisSpace(field.visibility),
field.name.get_ref().as_slice(),
ty.type_,
tab);
}
_ => unreachable!()
}
}
if fields_stripped {
write!(w, " // some fields omitted\n{}", tab);
}
write!(w, "\\}");
}
doctree::Tuple | doctree::Newtype => {
write!(w, "(");
for (i, field) in fields.iter().enumerate() {
if i > 0 { write!(w, ", ") }
match field.inner {
clean::StructFieldItem(ref field) => {
write!(w, "{}", field.type_);
}
_ => unreachable!()
}
}
write!(w, ");");
}
doctree::Unit => { write!(w, ";"); }
}
}
fn render_methods(w: &mut io::Writer, it: &clean::Item) {
do local_data::get(cache_key) |cache| {
let cache = cache.unwrap();
do cache.read |c| {
match c.impls.find(&it.id) {
Some(v) => {
let mut non_trait = v.iter().filter(|p| {
p.n0_ref().trait_.is_none()
});
let non_trait = non_trait.to_owned_vec();
let mut traits = v.iter().filter(|p| {
p.n0_ref().trait_.is_some()
});
let traits = traits.to_owned_vec();
if non_trait.len() > 0 {
write!(w, "<h2 id='methods'>Methods</h2>");
for &(ref i, ref dox) in non_trait.move_iter() {
render_impl(w, i, dox);
}
}
if traits.len() > 0 {
write!(w, "<h2 id='implementations'>Trait \
Implementations</h2>");
for &(ref i, ref dox) in traits.move_iter() {
render_impl(w, i, dox);
}
}
}
None => {}
}
}
}
}
fn render_impl(w: &mut io::Writer, i: &clean::Impl, dox: &Option<~str>) {
write!(w, "<h3 class='impl'><code>impl{} ", i.generics);
let trait_id = match i.trait_ {
Some(ref ty) => {
write!(w, "{} for ", *ty);
match *ty {
clean::ResolvedPath { id, _ } => Some(id),
_ => None,
}
}
None => None
};
write!(w, "{}</code></h3>", i.for_);
match *dox {
Some(ref dox) => {
write!(w, "<div class='docblock'>{}</div>",
Markdown(dox.as_slice()));
}
None => {}
}
write!(w, "<div class='methods'>");
for meth in i.methods.iter() {
write!(w, "<h4 id='method.{}' class='method'><code>",
*meth.name.get_ref());
render_method(w, meth, false);
write!(w, "</code></h4>\n");
match meth.doc_value() {
Some(s) => {
write!(w, "<div class='docblock'>{}</div>", Markdown(s));
continue
}
None => {}
}
// No documentation? Attempt to slurp in the trait's documentation
let trait_id = match trait_id {
None => continue,
Some(id) => id,
};
do local_data::get(cache_key) |cache| {
do cache.unwrap().read |cache| {
let name = meth.name.get_ref().as_slice();
match cache.traits.find(&trait_id) {
Some(m) => {
match m.find_equiv(&name) {
Some(s) => {
write!(w, "<div class='docblock'>{}</div>",
Markdown(s.as_slice()));
}
None => {}
}
}
None => {}
}
}
}
}
write!(w, "</div>");
}
fn item_typedef(w: &mut io::Writer, it: &clean::Item, t: &clean::Typedef) {
write!(w, "<pre class='typedef'>type {}{} = {};</pre>",
it.name.get_ref().as_slice(),
t.generics,
t.type_);
document(w, it);
}
impl<'self> fmt::Default for Sidebar<'self> {
fn fmt(s: &Sidebar<'self>, fmt: &mut fmt::Formatter) {
let cx = s.cx;
let it = s.item;
write!(fmt.buf, "<p class='location'>");
let len = cx.current.len() - if it.is_mod() {1} else {0};
for (i, name) in cx.current.iter().take(len).enumerate() {
if i > 0 { write!(fmt.buf, "&\\#8203;::") }
write!(fmt.buf, "<a href='{}index.html'>{}</a>",
cx.root_path.slice_to((cx.current.len() - i - 1) * 3), *name);
}
write!(fmt.buf, "</p>");
fn block(w: &mut io::Writer, short: &str, longty: &str,
cur: &clean::Item, cx: &Context) {
let items = match cx.sidebar.find_equiv(&short) {
Some(items) => items.as_slice(),
None => return
};
write!(w, "<div class='block {}'><h2>{}</h2>", short, longty);
for item in items.iter() {
let class = if cur.name.get_ref() == item &&
short == shortty(cur) { "current" } else { "" };
write!(w, "<a class='{ty} {class}' href='{curty, select,
mod{../}
other{}
}{tysel, select,
mod{{name}/index.html}
other{#.{name}.html}
}'>{name}</a><br/>",
ty = short,
tysel = short,
class = class,
curty = shortty(cur),
name = item.as_slice());
}
write!(w, "</div>");
}
block(fmt.buf, "mod", "Modules", it, cx);
block(fmt.buf, "struct", "Structs", it, cx);
block(fmt.buf, "enum", "Enums", it, cx);
block(fmt.buf, "trait", "Traits", it, cx);
block(fmt.buf, "fn", "Functions", it, cx);
}
}
fn build_sidebar(m: &clean::Module) -> HashMap<~str, ~[~str]> {
let mut map = HashMap::new();
for item in m.items.iter() {
let short = shortty(item);
let myname = match item.name {
None => continue,
Some(ref s) => s.to_owned(),
};
let v = map.find_or_insert_with(short.to_owned(), |_| ~[]);
v.push(myname);
}
for (_, items) in map.mut_iter() {
sort::quick_sort(*items, |i1, i2| i1 < i2);
}
return map;
}
impl<'self> fmt::Default for Source<'self> {
fn fmt(s: &Source<'self>, fmt: &mut fmt::Formatter) {
let lines = s.line_iter().len();
let mut cols = 0;
let mut tmp = lines;
while tmp > 0 {
cols += 1;
tmp /= 10;
}
write!(fmt.buf, "<pre class='line-numbers'>");
for i in range(1, lines + 1) {
write!(fmt.buf, "<span id='{0:u}'>{0:1$u}</span>\n", i, cols);
}
write!(fmt.buf, "</pre>");
write!(fmt.buf, "<pre class='rust'>");
write!(fmt.buf, "{}", Escape(s.as_slice()));
write!(fmt.buf, "</pre>");
}
}<｜fim▁end｜> | }
write!(w, "</ul>");
} |
<|file_name|>fckconfig.js<|end_file_name|><｜fim▁begin｜>/*
* FCKeditor - The text editor for Internet - http://www.fckeditor.net
* Copyright (C) 2003-2008 Frederico Caldeira Knabben
*
* == BEGIN LICENSE ==
*
* Licensed under the terms of any of the following licenses at your
* choice:
*
* - GNU General Public License Version 2 or later (the "GPL")
* http://www.gnu.org/licenses/gpl.html
*
* - GNU Lesser General Public License Version 2.1 or later (the "LGPL")
* http://www.gnu.org/licenses/lgpl.html
*
* - Mozilla Public License Version 1.1 or later (the "MPL")
* http://www.mozilla.org/MPL/MPL-1.1.html
*
* == END LICENSE ==
*
* Editor configuration settings.
*
* Follow this link for more information:
* http://docs.fckeditor.net/FCKeditor_2.x/Developers_Guide/Configuration/Configuration_Options
*/
FCKConfig.CustomConfigurationsPath = '' ;
FCKConfig.EditorAreaCSS = FCKConfig.BasePath + 'css/fck_editorarea.css' ;
FCKConfig.EditorAreaStyles = '' ;
FCKConfig.ToolbarComboPreviewCSS = '' ;
FCKConfig.DocType = '' ;
FCKConfig.BaseHref = '' ;
FCKConfig.FullPage = false ;
// The following option determines whether the "Show Blocks" feature is enabled or not at startup.
FCKConfig.StartupShowBlocks = false ;
FCKConfig.Debug = false ;
FCKConfig.AllowQueryStringDebug = true ;
FCKConfig.SkinPath = FCKConfig.BasePath + 'skins/default/' ;
FCKConfig.SkinEditorCSS = '' ; // FCKConfig.SkinPath + "|<minified css>" ;
FCKConfig.SkinDialogCSS = '' ; // FCKConfig.SkinPath + "|<minified css>" ;
FCKConfig.PreloadImages = [ FCKConfig.SkinPath + 'images/toolbar.start.gif', FCKConfig.SkinPath + 'images/toolbar.buttonarrow.gif' ] ;
FCKConfig.PluginsPath = FCKConfig.BasePath + 'plugins/' ;
// FCKConfig.Plugins.Add( 'autogrow' ) ;
// FCKConfig.Plugins.Add( 'dragresizetable' );
FCKConfig.AutoGrowMax = 400 ;
// FCKConfig.ProtectedSource.Add( /<%[\s\S]*?%>/g ) ; // ASP style server side code <%...%>
// FCKConfig.ProtectedSource.Add( /<\?[\s\S]*?\?>/g ) ; // PHP style server side code
// FCKConfig.ProtectedSource.Add( /(<asp:[^\>]+>[\s|\S]*?<\/asp:[^\>]+>)|(<asp:[^\>]+\/>)/gi ) ; // ASP.Net style tags <asp:control>
FCKConfig.AutoDetectLanguage = true ;
FCKConfig.DefaultLanguage = 'en' ;
FCKConfig.ContentLangDirection = 'ltr' ;
FCKConfig.ProcessHTMLEntities = true ;
FCKConfig.IncludeLatinEntities = true ;
FCKConfig.IncludeGreekEntities = true ;
FCKConfig.ProcessNumericEntities = false ;
FCKConfig.AdditionalNumericEntities = '' ; // Single Quote: "'"
FCKConfig.FillEmptyBlocks = true ;
FCKConfig.FormatSource = true ;
FCKConfig.FormatOutput = true ;
FCKConfig.FormatIndentator = ' ' ;
FCKConfig.EMailProtection = 'encode' ; // none | encode | function
FCKConfig.EMailProtectionFunction = 'mt(NAME,DOMAIN,SUBJECT,BODY)' ;
FCKConfig.StartupFocus = false ;
FCKConfig.ForcePasteAsPlainText = false ;
FCKConfig.AutoDetectPasteFromWord = true ; // IE only.
FCKConfig.ShowDropDialog = true ;
FCKConfig.ForceSimpleAmpersand = false ;
FCKConfig.TabSpaces = 0 ;
FCKConfig.ShowBorders = true ;
FCKConfig.SourcePopup = false ;
FCKConfig.ToolbarStartExpanded = true ;
FCKConfig.ToolbarCanCollapse = true ;
FCKConfig.IgnoreEmptyParagraphValue = true ;
FCKConfig.FloatingPanelsZIndex = 10000 ;
FCKConfig.HtmlEncodeOutput = false ;
FCKConfig.TemplateReplaceAll = true ;
FCKConfig.TemplateReplaceCheckbox = true ;
FCKConfig.ToolbarLocation = 'In' ;
FCKConfig.ToolbarSets["Default"] = [
['Source','DocProps','-','Save','NewPage','Preview','-','Templates'],
['Cut','Copy','Paste','PasteText','PasteWord','-','Print','SpellCheck'],
['Undo','Redo','-','Find','Replace','-','SelectAll','RemoveFormat'],
['Form','Checkbox','Radio','TextField','Textarea','Select','Button','ImageButton','HiddenField'],
'/',
['Bold','Italic','Underline','StrikeThrough','-','Subscript','Superscript'],
['OrderedList','UnorderedList','-','Outdent','Indent','Blockquote','CreateDiv'],
['JustifyLeft','JustifyCenter','JustifyRight','JustifyFull'],
['Link','Unlink','Anchor'],<｜fim▁hole｜> '/',
['Style','FontFormat','FontName','FontSize'],
['TextColor','BGColor'],
['FitWindow','ShowBlocks','-','About'] // No comma for the last row.
] ;
FCKConfig.ToolbarSets["Basic"] = [
['Bold','Italic','-','OrderedList','UnorderedList','-','Link','Unlink','-','About']
] ;
FCKConfig.EnterMode = 'p' ; // p | div | br
FCKConfig.ShiftEnterMode = 'br' ; // p | div | br
FCKConfig.Keystrokes = [
[ CTRL + 65 /*A*/, true ],
[ CTRL + 67 /*C*/, true ],
[ CTRL + 70 /*F*/, true ],
[ CTRL + 83 /*S*/, true ],
[ CTRL + 84 /*T*/, true ],
[ CTRL + 88 /*X*/, true ],
[ CTRL + 86 /*V*/, 'Paste' ],
[ CTRL + 45 /*INS*/, true ],
[ SHIFT + 45 /*INS*/, 'Paste' ],
[ CTRL + 88 /*X*/, 'Cut' ],
[ SHIFT + 46 /*DEL*/, 'Cut' ],
[ CTRL + 90 /*Z*/, 'Undo' ],
[ CTRL + 89 /*Y*/, 'Redo' ],
[ CTRL + SHIFT + 90 /*Z*/, 'Redo' ],
[ CTRL + 76 /*L*/, 'Link' ],
[ CTRL + 66 /*B*/, 'Bold' ],
[ CTRL + 73 /*I*/, 'Italic' ],
[ CTRL + 85 /*U*/, 'Underline' ],
[ CTRL + SHIFT + 83 /*S*/, 'Save' ],
[ CTRL + ALT + 13 /*ENTER*/, 'FitWindow' ],
[ SHIFT + 32 /*SPACE*/, 'Nbsp' ]
] ;
FCKConfig.ContextMenu = ['Generic','Link','Anchor','Image','Flash','Select','Textarea','Checkbox','Radio','TextField','HiddenField','ImageButton','Button','BulletedList','NumberedList','Table','Form','DivContainer'] ;
FCKConfig.BrowserContextMenuOnCtrl = false ;
FCKConfig.BrowserContextMenu = false ;
FCKConfig.EnableMoreFontColors = true ;
FCKConfig.FontColors = '000000,993300,333300,003300,003366,000080,333399,333333,800000,FF6600,808000,808080,008080,0000FF,666699,808080,FF0000,FF9900,99CC00,339966,33CCCC,3366FF,800080,999999,FF00FF,FFCC00,FFFF00,00FF00,00FFFF,00CCFF,993366,C0C0C0,FF99CC,FFCC99,FFFF99,CCFFCC,CCFFFF,99CCFF,CC99FF,FFFFFF' ;
FCKConfig.FontFormats = 'p;h1;h2;h3;h4;h5;h6;pre;address;div' ;
FCKConfig.FontNames = 'Arial;Comic Sans MS;Courier New;Tahoma;Times New Roman;Verdana' ;
FCKConfig.FontSizes = 'smaller;larger;xx-small;x-small;small;medium;large;x-large;xx-large' ;
FCKConfig.StylesXmlPath = FCKConfig.EditorPath + 'fckstyles.xml' ;
FCKConfig.TemplatesXmlPath = FCKConfig.EditorPath + 'fcktemplates.xml' ;
FCKConfig.SpellChecker = 'ieSpell' ; // 'ieSpell' | 'SpellerPages'
FCKConfig.IeSpellDownloadUrl = 'http://www.iespell.com/download.php' ;
FCKConfig.SpellerPagesServerScript = 'server-scripts/spellchecker.php' ; // Available extension: .php .cfm .pl
FCKConfig.FirefoxSpellChecker = false ;
FCKConfig.MaxUndoLevels = 15 ;
FCKConfig.DisableObjectResizing = false ;
FCKConfig.DisableFFTableHandles = true ;
FCKConfig.LinkDlgHideTarget = false ;
FCKConfig.LinkDlgHideAdvanced = false ;
FCKConfig.ImageDlgHideLink = false ;
FCKConfig.ImageDlgHideAdvanced = false ;
FCKConfig.FlashDlgHideAdvanced = false ;
FCKConfig.ProtectedTags = '' ;
// This will be applied to the body element of the editor
FCKConfig.BodyId = '' ;
FCKConfig.BodyClass = '' ;
FCKConfig.DefaultStyleLabel = '' ;
FCKConfig.DefaultFontFormatLabel = '' ;
FCKConfig.DefaultFontLabel = '' ;
FCKConfig.DefaultFontSizeLabel = '' ;
FCKConfig.DefaultLinkTarget = '' ;
// The option switches between trying to keep the html structure or do the changes so the content looks like it was in Word
FCKConfig.CleanWordKeepsStructure = false ;
// Only inline elements are valid.
FCKConfig.RemoveFormatTags = 'b,big,code,del,dfn,em,font,i,ins,kbd,q,samp,small,span,strike,strong,sub,sup,tt,u,var' ;
// Attributes that will be removed
FCKConfig.RemoveAttributes = 'class,style,lang,width,height,align,hspace,valign' ;
FCKConfig.CustomStyles =
{
'Red Title' : { Element : 'h3', Styles : { 'color' : 'Red' } }
};
// Do not add, rename or remove styles here. Only apply definition changes.
FCKConfig.CoreStyles =
{
// Basic Inline Styles.
'Bold' : { Element : 'strong', Overrides : 'b' },
'Italic' : { Element : 'em', Overrides : 'i' },
'Underline' : { Element : 'u' },
'StrikeThrough' : { Element : 'strike' },
'Subscript' : { Element : 'sub' },
'Superscript' : { Element : 'sup' },
// Basic Block Styles (Font Format Combo).
'p' : { Element : 'p' },
'div' : { Element : 'div' },
'pre' : { Element : 'pre' },
'address' : { Element : 'address' },
'h1' : { Element : 'h1' },
'h2' : { Element : 'h2' },
'h3' : { Element : 'h3' },
'h4' : { Element : 'h4' },
'h5' : { Element : 'h5' },
'h6' : { Element : 'h6' },
// Other formatting features.
'FontFace' :
{
Element : 'span',
Styles : { 'font-family' : '#("Font")' },
Overrides : [ { Element : 'font', Attributes : { 'face' : null } } ]
},
'Size' :
{
Element : 'span',
Styles : { 'font-size' : '#("Size","fontSize")' },
Overrides : [ { Element : 'font', Attributes : { 'size' : null } } ]
},
'Color' :
{
Element : 'span',
Styles : { 'color' : '#("Color","color")' },
Overrides : [ { Element : 'font', Attributes : { 'color' : null } } ]
},
'BackColor' : { Element : 'span', Styles : { 'background-color' : '#("Color","color")' } },
'SelectionHighlight' : { Element : 'span', Styles : { 'background-color' : 'navy', 'color' : 'white' } }
};
// The distance of an indentation step.
FCKConfig.IndentLength = 40 ;
FCKConfig.IndentUnit = 'px' ;
// Alternatively, FCKeditor allows the use of CSS classes for block indentation.
// This overrides the IndentLength/IndentUnit settings.
FCKConfig.IndentClasses = [] ;
// [ Left, Center, Right, Justified ]
FCKConfig.JustifyClasses = [] ;
// The following value defines which File Browser connector and Quick Upload
// "uploader" to use. It is valid for the default implementaion and it is here
// just to make this configuration file cleaner.
// It is not possible to change this value using an external file or even
// inline when creating the editor instance. In that cases you must set the
// values of LinkBrowserURL, ImageBrowserURL and so on.
// Custom implementations should just ignore it.
var _FileBrowserLanguage = 'aspx' ; // asp | aspx | cfm | lasso | perl | php | py
var _QuickUploadLanguage = 'aspx' ; // asp | aspx | cfm | lasso | perl | php | py
// Don't care about the following two lines. It just calculates the correct connector
// extension to use for the default File Browser (Perl uses "cgi").
var _FileBrowserExtension = _FileBrowserLanguage == 'perl' ? 'cgi' : _FileBrowserLanguage ;
var _QuickUploadExtension = _QuickUploadLanguage == 'perl' ? 'cgi' : _QuickUploadLanguage ;
FCKConfig.LinkBrowser = true ;
FCKConfig.LinkBrowserURL = FCKConfig.BasePath + 'filemanager/browser/default/browser.html?Connector=' + encodeURIComponent( FCKConfig.BasePath + 'filemanager/connectors/' + _FileBrowserLanguage + '/connector.' + _FileBrowserExtension ) ;
FCKConfig.LinkBrowserWindowWidth = FCKConfig.ScreenWidth * 0.7 ; // 70%
FCKConfig.LinkBrowserWindowHeight = FCKConfig.ScreenHeight * 0.7 ; // 70%
FCKConfig.ImageBrowser = true ;
FCKConfig.ImageBrowserURL = FCKConfig.BasePath + 'filemanager/browser/default/browser.html?Type=Image&Connector=' + encodeURIComponent( FCKConfig.BasePath + 'filemanager/connectors/' + _FileBrowserLanguage + '/connector.' + _FileBrowserExtension ) ;
FCKConfig.ImageBrowserWindowWidth = FCKConfig.ScreenWidth * 0.7 ; // 70% ;
FCKConfig.ImageBrowserWindowHeight = FCKConfig.ScreenHeight * 0.7 ; // 70% ;
FCKConfig.FlashBrowser = true ;
FCKConfig.FlashBrowserURL = FCKConfig.BasePath + 'filemanager/browser/default/browser.html?Type=Flash&Connector=' + encodeURIComponent( FCKConfig.BasePath + 'filemanager/connectors/' + _FileBrowserLanguage + '/connector.' + _FileBrowserExtension ) ;
FCKConfig.FlashBrowserWindowWidth = FCKConfig.ScreenWidth * 0.7 ; //70% ;
FCKConfig.FlashBrowserWindowHeight = FCKConfig.ScreenHeight * 0.7 ; //70% ;
FCKConfig.LinkUpload = true ;
FCKConfig.LinkUploadURL = FCKConfig.BasePath + 'filemanager/connectors/' + _QuickUploadLanguage + '/upload.' + _QuickUploadExtension ;
FCKConfig.LinkUploadAllowedExtensions = ".(7z|aiff|asf|avi|bmp|csv|doc|fla|flv|gif|gz|gzip|jpeg|jpg|mid|mov|mp3|mp4|mpc|mpeg|mpg|ods|odt|pdf|png|ppt|pxd|qt|ram|rar|rm|rmi|rmvb|rtf|sdc|sitd|swf|sxc|sxw|tar|tgz|tif|tiff|txt|vsd|wav|wma|wmv|xls|xml|zip)$" ; // empty for all
FCKConfig.LinkUploadDeniedExtensions = "" ; // empty for no one
FCKConfig.ImageUpload = true ;
FCKConfig.ImageUploadURL = FCKConfig.BasePath + 'filemanager/connectors/' + _QuickUploadLanguage + '/upload.' + _QuickUploadExtension + '?Type=Image' ;
FCKConfig.ImageUploadAllowedExtensions = ".(jpg|gif|jpeg|png|bmp)$" ; // empty for all
FCKConfig.ImageUploadDeniedExtensions = "" ; // empty for no one
FCKConfig.FlashUpload = true ;
FCKConfig.FlashUploadURL = FCKConfig.BasePath + 'filemanager/connectors/' + _QuickUploadLanguage + '/upload.' + _QuickUploadExtension + '?Type=Flash' ;
FCKConfig.FlashUploadAllowedExtensions = ".(swf|flv)$" ; // empty for all
FCKConfig.FlashUploadDeniedExtensions = "" ; // empty for no one
FCKConfig.SmileyPath = FCKConfig.BasePath + 'images/smiley/msn/' ;
FCKConfig.SmileyImages = ['regular_smile.gif','sad_smile.gif','wink_smile.gif','teeth_smile.gif','confused_smile.gif','tounge_smile.gif','embaressed_smile.gif','omg_smile.gif','whatchutalkingabout_smile.gif','angry_smile.gif','angel_smile.gif','shades_smile.gif','devil_smile.gif','cry_smile.gif','lightbulb.gif','thumbs_down.gif','thumbs_up.gif','heart.gif','broken_heart.gif','kiss.gif','envelope.gif'] ;
FCKConfig.SmileyColumns = 8 ;
FCKConfig.SmileyWindowWidth = 320 ;
FCKConfig.SmileyWindowHeight = 210 ;
FCKConfig.BackgroundBlockerColor = '#ffffff' ;
FCKConfig.BackgroundBlockerOpacity = 0.50 ;
FCKConfig.MsWebBrowserControlCompat = false ;
FCKConfig.PreventSubmitHandler = false ;<｜fim▁end｜> | ['Image','Flash','Table','Rule','Smiley','SpecialChar','PageBreak'], |
<|file_name|>notes.go<|end_file_name|><｜fim▁begin｜>package models
type NotesJSON struct {
Notes []string<｜fim▁hole｜><｜fim▁end｜> | } |
<|file_name|>s004_cpu_reconstruction.py<|end_file_name|><｜fim▁begin｜># -----------------------------------------------------------------------
# Copyright: 2010-2022, imec Vision Lab, University of Antwerp
# 2013-2022, CWI, Amsterdam
#
# Contact: [email protected]
# Website: http://www.astra-toolbox.com/
#
# This file is part of the ASTRA Toolbox.
#
#
# The ASTRA Toolbox is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#<｜fim▁hole｜>#
# You should have received a copy of the GNU General Public License
# along with the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
#
# -----------------------------------------------------------------------
import astra
import numpy as np
vol_geom = astra.create_vol_geom(256, 256)
proj_geom = astra.create_proj_geom('parallel', 1.0, 384, np.linspace(0,np.pi,180,False))
# For CPU-based algorithms, a "projector" object specifies the projection
# model used. In this case, we use the "strip" model.
proj_id = astra.create_projector('strip', proj_geom, vol_geom)
# Create a sinogram from a phantom
import scipy.io
P = scipy.io.loadmat('phantom.mat')['phantom256']
sinogram_id, sinogram = astra.create_sino(P, proj_id)
import pylab
pylab.gray()
pylab.figure(1)
pylab.imshow(P)
pylab.figure(2)
pylab.imshow(sinogram)
# Create a data object for the reconstruction
rec_id = astra.data2d.create('-vol', vol_geom)
# Set up the parameters for a reconstruction algorithm using the CPU
# The main difference with the configuration of a GPU algorithm is the
# extra ProjectorId setting.
cfg = astra.astra_dict('SIRT')
cfg['ReconstructionDataId'] = rec_id
cfg['ProjectionDataId'] = sinogram_id
cfg['ProjectorId'] = proj_id
# Available algorithms:
# ART, SART, SIRT, CGLS, FBP
# Create the algorithm object from the configuration structure
alg_id = astra.algorithm.create(cfg)
# Run 20 iterations of the algorithm
# This will have a runtime in the order of 10 seconds.
astra.algorithm.run(alg_id, 20)
# Get the result
rec = astra.data2d.get(rec_id)
pylab.figure(3)
pylab.imshow(rec)
pylab.show()
# Clean up.
astra.algorithm.delete(alg_id)
astra.data2d.delete(rec_id)
astra.data2d.delete(sinogram_id)
astra.projector.delete(proj_id)<｜fim▁end｜> | # The ASTRA Toolbox is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details. |
<|file_name|>IOSLauncher.java<|end_file_name|><｜fim▁begin｜>package ca.codybanman.AstroidEscape;
import org.robovm.apple.foundation.NSAutoreleasePool;
import org.robovm.apple.uikit.UIApplication;
import com.badlogic.gdx.backends.iosrobovm.IOSApplication;
import com.badlogic.gdx.backends.iosrobovm.IOSApplicationConfiguration;
import ca.codybanman.AstroidEscape.AEGame;<｜fim▁hole｜> IOSApplicationConfiguration config = new IOSApplicationConfiguration();
return new IOSApplication(new AEGame(), config);
}
public static void main(String[] argv) {
NSAutoreleasePool pool = new NSAutoreleasePool();
UIApplication.main(argv, null, IOSLauncher.class);
pool.close();
}
}<｜fim▁end｜> |
public class IOSLauncher extends IOSApplication.Delegate {
@Override
protected IOSApplication createApplication() { |
<|file_name|>AeronDamphair.js<|end_file_name|><｜fim▁begin｜>const DrawCard = require('../../drawcard.js');
class AeronDamphair extends DrawCard {
setupCardAbilities() {
this.reaction({
when: {<｜fim▁hole｜> handler: context => {
let card = context.event.card;
if(card.kneeled) {
card.controller.standCard(card);
this.game.addMessage('{0} uses {1} to stand {2}', this.controller, this, card);
} else {
card.controller.kneelCard(card);
this.game.addMessage('{0} uses {1} to kneel {2}', this.controller, this, card);
}
}
});
}
}
AeronDamphair.code = '04071';
module.exports = AeronDamphair;<｜fim▁end｜> | onCardSaved: event => event.card.getType() === 'character'
}, |
<|file_name|>bitcoin_hi_IN.ts<|end_file_name|><｜fim▁begin｜><?xml version="1.0" ?><!DOCTYPE TS><TS language="hi_IN" version="2.0">
<defaultcodec>UTF-8</defaultcodec>
<context>
<name>AboutDialog</name>
<message>
<location filename="../forms/aboutdialog.ui" line="+14"/>
<source>About Wankcoin</source>
<translation>बिटकोइन के संबंध में</translation>
</message>
<message>
<location line="+39"/>
<source><b>Wankcoin</b> version</source>
<translation>बिटकोइन वर्सन</translation>
</message>
<message>
<location line="+57"/>
<source>
This is experimental software.
Distributed under the MIT/X11 software license, see the accompanying file COPYING or http://www.opensource.org/licenses/mit-license.php.
This product includes software developed by the OpenSSL Project for use in the OpenSSL Toolkit (http://www.openssl.org/) and cryptographic software written by Eric Young ([email protected]) and UPnP software written by Thomas Bernard.</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../aboutdialog.cpp" line="+14"/>
<source>Copyright</source>
<translation>कापीराइट</translation>
</message>
<message>
<location line="+0"/>
<source>The Wankcoin developers</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>AddressBookPage</name>
<message>
<location filename="../forms/addressbookpage.ui" line="+14"/>
<source>Address Book</source>
<translation>पता पुस्तक</translation>
</message>
<message>
<location line="+19"/>
<source>Double-click to edit address or label</source>
<translation>दो बार क्लिक करे पता या लेबल संपादन करने के लिए !</translation>
</message>
<message>
<location line="+27"/>
<source>Create a new address</source>
<translation>नया पता लिखिए !</translation>
</message>
<message>
<location line="+14"/>
<source>Copy the currently selected address to the system clipboard</source>
<translation>चुनिन्दा पते को सिस्टम क्लिपबोर्ड पर कापी करे !</translation>
</message>
<message>
<location line="-11"/>
<source>&New Address</source>
<translation>&नया पता</translation>
</message>
<message>
<location filename="../addressbookpage.cpp" line="+63"/>
<source>These are your Wankcoin addresses for receiving payments. You may want to give a different one to each sender so you can keep track of who is paying you.</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../forms/addressbookpage.ui" line="+14"/>
<source>&Copy Address</source>
<translation>&पता कॉपी करे</translation>
</message>
<message>
<location line="+11"/>
<source>Show &QR Code</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+11"/>
<source>Sign a message to prove you own a Wankcoin address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Sign &Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+25"/>
<source>Delete the currently selected address from the list</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+27"/>
<source>Export the data in the current tab to a file</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Export</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-44"/>
<source>Verify a message to ensure it was signed with a specified Wankcoin address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Verify Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+14"/>
<source>&Delete</source>
<translation>&मिटाए !!</translation>
</message>
<message>
<location filename="../addressbookpage.cpp" line="-5"/>
<source>These are your Wankcoin addresses for sending payments. Always check the amount and the receiving address before sending coins.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>Copy &Label</source>
<translation>&लेबल कॉपी करे </translation>
</message>
<message>
<location line="+1"/>
<source>&Edit</source>
<translation>&एडिट</translation>
</message>
<message>
<location line="+1"/>
<source>Send &Coins</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+260"/>
<source>Export Address Book Data</source>
<translation>पता पुस्तक का डेटा एक्सपोर्ट (निर्यात) करे !</translation>
</message>
<message>
<location line="+1"/>
<source>Comma separated file (*.csv)</source>
<translation>Comma separated file (*.csv)</translation>
</message>
<message>
<location line="+13"/>
<source>Error exporting</source>
<translation>ग़लतियाँ एक्सपोर्ट (निर्यात) करे!</translation>
</message>
<message>
<location line="+0"/>
<source>Could not write to file %1.</source>
<translation>फाइल में लिख नही सके %1.</translation>
</message>
</context>
<context>
<name>AddressTableModel</name>
<message>
<location filename="../addresstablemodel.cpp" line="+144"/>
<source>Label</source>
<translation>लेबल</translation>
</message>
<message>
<location line="+0"/>
<source>Address</source>
<translation>पता</translation>
</message>
<message>
<location line="+36"/>
<source>(no label)</source>
<translation>(कोई लेबल नही !)</translation>
</message>
</context>
<context>
<name>AskPassphraseDialog</name>
<message>
<location filename="../forms/askpassphrasedialog.ui" line="+26"/>
<source>Passphrase Dialog</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+21"/>
<source>Enter passphrase</source>
<translation>पहचान शब्द/अक्षर डालिए !</translation>
</message>
<message>
<location line="+14"/>
<source>New passphrase</source>
<translation>नया पहचान शब्द/अक्षर डालिए !</translation>
</message>
<message>
<location line="+14"/>
<source>Repeat new passphrase</source>
<translation>दोबारा नया पहचान शब्द/अक्षर डालिए !</translation>
</message>
<message>
<location filename="../askpassphrasedialog.cpp" line="+33"/>
<source>Enter the new passphrase to the wallet.<br/>Please use a passphrase of <b>10 or more random characters</b>, or <b>eight or more words</b>.</source>
<translation>नया पहचान शब्द/अक्षर वॉलेट मे डालिए ! <br/> कृपा करके पहचान शब्द में <br> 10 से ज़्यादा अक्षॉरों का इस्तेमाल करे </b>,या <b>आठ या उससे से ज़्यादा शब्दो का इस्तेमाल करे</b> !</translation>
</message>
<message>
<location line="+1"/>
<source>Encrypt wallet</source>
<translation>एनक्रिप्ट वॉलेट !</translation>
</message>
<message>
<location line="+3"/>
<source>This operation needs your wallet passphrase to unlock the wallet.</source>
<translation>वॉलेट खोलने के आपका वॉलेट पहचान शब्द्/अक्षर चाईए !</translation>
</message>
<message>
<location line="+5"/>
<source>Unlock wallet</source>
<translation>वॉलेट खोलिए</translation>
</message>
<message>
<location line="+3"/>
<source>This operation needs your wallet passphrase to decrypt the wallet.</source>
<translation>वॉलेट डीक्रिप्ट( विकोड) करने के लिए आपका वॉलेट पहचान शब्द्/अक्षर चाईए !</translation>
</message>
<message>
<location line="+5"/>
<source>Decrypt wallet</source>
<translation> डीक्रिप्ट वॉलेट</translation>
</message>
<message>
<location line="+3"/>
<source>Change passphrase</source>
<translation>पहचान शब्द/अक्षर बदलिये !</translation>
</message>
<message>
<location line="+1"/>
<source>Enter the old and new passphrase to the wallet.</source>
<translation>कृपा करके पुराना एवं नया पहचान शब्द/अक्षर वॉलेट में डालिए !</translation>
</message>
<message>
<location line="+46"/>
<source>Confirm wallet encryption</source>
<translation>वॉलेट एनक्रिपशन को प्रमाणित कीजिए !</translation>
</message>
<message>
<location line="+1"/>
<source>Warning: If you encrypt your wallet and lose your passphrase, you will <b>LOSE ALL OF YOUR WANKCOINS</b>!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<source>Are you sure you wish to encrypt your wallet?</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+15"/>
<source>IMPORTANT: Any previous backups you have made of your wallet file should be replaced with the newly generated, encrypted wallet file. For security reasons, previous backups of the unencrypted wallet file will become useless as soon as you start using the new, encrypted wallet.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+100"/>
<location line="+24"/>
<source>Warning: The Caps Lock key is on!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-130"/>
<location line="+58"/>
<source>Wallet encrypted</source>
<translation>वॉलेट एनक्रिप्ट हो गया !</translation>
</message>
<message>
<location line="-56"/>
<source>Wankcoin will close now to finish the encryption process. Remember that encrypting your wallet cannot fully protect your wankcoins from being stolen by malware infecting your computer.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<location line="+7"/>
<location line="+42"/>
<location line="+6"/>
<source>Wallet encryption failed</source>
<translation>वॉलेट एनक्रिप्ट नही हुआ!</translation>
</message>
<message>
<location line="-54"/>
<source>Wallet encryption failed due to an internal error. Your wallet was not encrypted.</source>
<translation>वॉलेट एनक्रिपशन नाकाम हो गया इंटर्नल एरर की वजह से! आपका वॉलेट एनक्रीपत नही हुआ है!</translation>
</message>
<message>
<location line="+7"/>
<location line="+48"/>
<source>The supplied passphrases do not match.</source>
<translation>आपके द्वारा डाले गये पहचान शब्द/अक्षर मिलते नही है !</translation>
</message>
<message>
<location line="-37"/>
<source>Wallet unlock failed</source>
<translation>वॉलेट का लॉक नही खुला !</translation>
</message>
<message>
<location line="+1"/>
<location line="+11"/>
<location line="+19"/>
<source>The passphrase entered for the wallet decryption was incorrect.</source>
<translation>वॉलेट डीक्रिप्ट करने के लिए जो पहचान शब्द/अक्षर डाले गये है वो सही नही है!</translation>
</message>
<message>
<location line="-20"/>
<source>Wallet decryption failed</source>
<translation>वॉलेट का डीक्रिप्ट-ष्ण असफल !</translation>
</message>
<message>
<location line="+14"/>
<source>Wallet passphrase was successfully changed.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>BitcoinGUI</name>
<message>
<location filename="../bitcoingui.cpp" line="+233"/>
<source>Sign &message...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+280"/>
<source>Synchronizing with network...</source>
<translation>नेटवर्क से समकालिक (मिल) रहा है ...</translation>
</message>
<message>
<location line="-349"/>
<source>&Overview</source>
<translation>&विवरण</translation>
</message>
<message>
<location line="+1"/>
<source>Show general overview of wallet</source>
<translation>वॉलेट का सामानया विवरण दिखाए !</translation>
</message>
<message>
<location line="+20"/>
<source>&Transactions</source>
<translation>& लेन-देन
</translation>
</message>
<message>
<location line="+1"/>
<source>Browse transaction history</source>
<translation>देखिए पुराने लेन-देन के विवरण !</translation>
</message>
<message>
<location line="+7"/>
<source>Edit the list of stored addresses and labels</source>
<translation>स्टोर किए हुए पते और लेबलओ को बदलिए !</translation>
</message>
<message>
<location line="-14"/>
<source>Show the list of addresses for receiving payments</source>
<translation>पते की सूची दिखाए जिन्हे भुगतान करना है !</translation>
</message>
<message>
<location line="+31"/>
<source>E&xit</source>
<translation>बाहर जायें</translation>
</message>
<message>
<location line="+1"/>
<source>Quit application</source>
<translation>अप्लिकेशन से बाहर निकलना !</translation>
</message>
<message>
<location line="+4"/>
<source>Show information about Wankcoin</source>
<translation>बीटकोइन के बारे में जानकारी !</translation>
</message>
<message>
<location line="+2"/>
<source>About &Qt</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Show information about Qt</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>&Options...</source>
<translation>&विकल्प</translation>
</message>
<message>
<location line="+6"/>
<source>&Encrypt Wallet...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Backup Wallet...</source>
<translation>&बैकप वॉलेट</translation>
</message>
<message>
<location line="+2"/>
<source>&Change Passphrase...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+285"/>
<source>Importing blocks from disk...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Reindexing blocks on disk...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-347"/>
<source>Send coins to a Wankcoin address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+49"/>
<source>Modify configuration options for Wankcoin</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+9"/>
<source>Backup wallet to another location</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Change the passphrase used for wallet encryption</source>
<translation>पहचान शब्द/अक्षर जो वॉलेट एनक्रिपशन के लिए इस्तेमाल किया है उसे बदलिए!</translation>
</message>
<message>
<location line="+6"/>
<source>&Debug window</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Open debugging and diagnostic console</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-4"/>
<source>&Verify message...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-165"/>
<location line="+530"/>
<source>Wankcoin</source>
<translation>बीटकोइन</translation>
</message>
<message>
<location line="-530"/>
<source>Wallet</source>
<translation>वॉलेट</translation>
</message>
<message>
<location line="+101"/>
<source>&Send</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>&Receive</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+14"/>
<source>&Addresses</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+22"/>
<source>&About Wankcoin</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+9"/>
<source>&Show / Hide</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Show or hide the main Window</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Encrypt the private keys that belong to your wallet</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Sign messages with your Wankcoin addresses to prove you own them</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Verify messages to ensure they were signed with specified Wankcoin addresses</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+28"/>
<source>&File</source>
<translation>&फाइल</translation>
</message>
<message>
<location line="+7"/>
<source>&Settings</source>
<translation>&सेट्टिंग्स</translation>
</message>
<message>
<location line="+6"/>
<source>&Help</source>
<translation>&मदद</translation>
</message>
<message>
<location line="+9"/>
<source>Tabs toolbar</source>
<translation>टैबस टूलबार</translation>
</message>
<message>
<location line="+17"/>
<location line="+10"/>
<source>[testnet]</source>
<translation>[टेस्टनेट]</translation>
</message>
<message>
<location line="+47"/>
<source>Wankcoin client</source>
<translation type="unfinished"/>
</message>
<message numerus="yes">
<location line="+141"/>
<source>%n active connection(s) to Wankcoin network</source>
<translation><numerusform>%n सक्रिया संपर्क बीटकोइन नेटवर्क से</numerusform><numerusform>%n सक्रिया संपर्क बीटकोइन नेटवर्क से</numerusform></translation>
</message>
<message>
<location line="+22"/>
<source>No block source available...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+12"/>
<source>Processed %1 of %2 (estimated) blocks of transaction history.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Processed %1 blocks of transaction history.</source>
<translation type="unfinished"/>
</message>
<message numerus="yes">
<location line="+20"/>
<source>%n hour(s)</source>
<translation><numerusform>%n घंटा</numerusform><numerusform>%n घंटे</numerusform></translation>
</message>
<message numerus="yes">
<location line="+4"/>
<source>%n day(s)</source>
<translation><numerusform>%n दिन</numerusform><numerusform>%n दिनो</numerusform></translation>
</message>
<message numerus="yes">
<location line="+4"/>
<source>%n week(s)</source>
<translation><numerusform>%n हफ़्ता</numerusform><numerusform>%n हफ्ते</numerusform></translation>
</message>
<message>
<location line="+4"/>
<source>%1 behind</source>
<translation>%1 पीछे</translation>
</message>
<message>
<location line="+14"/>
<source>Last received block was generated %1 ago.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Transactions after this will not yet be visible.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+22"/>
<source>Error</source>
<translation>भूल</translation>
</message>
<message>
<location line="+3"/>
<source>Warning</source>
<translation>चेतावनी</translation>
</message>
<message>
<location line="+3"/>
<source>Information</source>
<translation>जानकारी</translation>
</message>
<message>
<location line="+70"/>
<source>This transaction is over the size limit. You can still send it for a fee of %1, which goes to the nodes that process your transaction and helps to support the network. Do you want to pay the fee?</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-140"/>
<source>Up to date</source>
<translation>नवीनतम</translation>
</message>
<message>
<location line="+31"/>
<source>Catching up...</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+113"/>
<source>Confirm transaction fee</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>Sent transaction</source>
<translation>भेजी ट्रांजक्शन</translation>
</message>
<message>
<location line="+0"/>
<source>Incoming transaction</source>
<translation>प्राप्त हुई ट्रांजक्शन</translation>
</message>
<message>
<location line="+1"/>
<source>Date: %1
Amount: %2
Type: %3
Address: %4
</source>
<translation>तारीख: %1\n
राशि: %2\n
टाइप: %3\n
पता:%4\n</translation>
</message>
<message>
<location line="+33"/>
<location line="+23"/>
<source>URI handling</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-23"/>
<location line="+23"/>
<source>URI can not be parsed! This can be caused by an invalid Wankcoin address or malformed URI parameters.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+17"/>
<source>Wallet is <b>encrypted</b> and currently <b>unlocked</b></source>
<translation>वॉलेट एन्क्रिप्टेड है तथा अभी लॉक्ड नहीं है</translation>
</message>
<message>
<location line="+8"/>
<source>Wallet is <b>encrypted</b> and currently <b>locked</b></source>
<translation>वॉलेट एन्क्रिप्टेड है तथा अभी लॉक्ड है</translation>
</message>
<message>
<location filename="../bitcoin.cpp" line="+111"/>
<source>A fatal error occurred. Wankcoin can no longer continue safely and will quit.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>ClientModel</name>
<message>
<location filename="../clientmodel.cpp" line="+104"/>
<source>Network Alert</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>EditAddressDialog</name>
<message>
<location filename="../forms/editaddressdialog.ui" line="+14"/>
<source>Edit Address</source>
<translation>पता एडिट करना</translation>
</message>
<message>
<location line="+11"/>
<source>&Label</source>
<translation>&लेबल</translation>
</message>
<message>
<location line="+10"/>
<source>The label associated with this address book entry</source>
<translation>इस एड्रेस बुक से जुड़ा एड्रेस</translation>
</message>
<message>
<location line="+7"/>
<source>&Address</source>
<translation>&पता</translation>
</message>
<message>
<location line="+10"/>
<source>The address associated with this address book entry. This can only be modified for sending addresses.</source>
<translation>इस एड्रेस बुक से जुड़ी प्रविष्टि केवल भेजने वाले addresses के लिए बदली जा सकती है|</translation>
</message>
<message>
<location filename="../editaddressdialog.cpp" line="+21"/>
<source>New receiving address</source>
<translation>नया स्वीकार्य पता</translation>
</message>
<message>
<location line="+4"/>
<source>New sending address</source>
<translation>नया भेजने वाला पता</translation>
</message>
<message>
<location line="+3"/>
<source>Edit receiving address</source>
<translation>एडिट स्वीकार्य पता </translation>
</message>
<message>
<location line="+4"/>
<source>Edit sending address</source>
<translation>एडिट भेजने वाला पता</translation>
</message>
<message>
<location line="+76"/>
<source>The entered address "%1" is already in the address book.</source>
<translation>डाला गया पता "%1" एड्रेस बुक में पहले से ही मोजूद है|</translation>
</message>
<message>
<location line="-5"/>
<source>The entered address "%1" is not a valid Wankcoin address.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+10"/>
<source>Could not unlock wallet.</source>
<translation>वॉलेट को unlock नहीं किया जा सकता|</translation>
</message>
<message>
<location line="+5"/>
<source>New key generation failed.</source>
<translation>नयी कुंजी का निर्माण असफल रहा|</translation>
</message>
</context>
<context>
<name>GUIUtil::HelpMessageBox</name>
<message>
<location filename="../guiutil.cpp" line="+424"/>
<location line="+12"/>
<source>Wankcoin-Qt</source>
<translation>बीटकोइन-Qt</translation>
</message>
<message>
<location line="-12"/>
<source>version</source>
<translation>संस्करण</translation>
</message>
<message>
<location line="+2"/>
<source>Usage:</source>
<translation>खपत :</translation>
</message>
<message>
<location line="+1"/>
<source>command-line options</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>UI options</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Set language, for example "de_DE" (default: system locale)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Start minimized</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Show splash screen on startup (default: 1)</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>OptionsDialog</name>
<message>
<location filename="../forms/optionsdialog.ui" line="+14"/>
<source>Options</source>
<translation>विकल्प</translation>
</message>
<message>
<location line="+16"/>
<source>&Main</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Optional transaction fee per kB that helps make sure your transactions are processed quickly. Most transactions are 1 kB.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+15"/>
<source>Pay transaction &fee</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+31"/>
<source>Automatically start Wankcoin after logging in to the system.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Start Wankcoin on system login</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+35"/>
<source>Reset all client options to default.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Reset Options</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>&Network</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Automatically open the Wankcoin client port on the router. This only works when your router supports UPnP and it is enabled.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Map port using &UPnP</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Connect to the Wankcoin network through a SOCKS proxy (e.g. when connecting through Tor).</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Connect through SOCKS proxy:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+9"/>
<source>Proxy &IP:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+19"/>
<source>IP address of the proxy (e.g. 127.0.0.1)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>&Port:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+19"/>
<source>Port of the proxy (e.g. 9050)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>SOCKS &Version:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>SOCKS version of the proxy (e.g. 5)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+36"/>
<source>&Window</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Show only a tray icon after minimizing the window.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Minimize to the tray instead of the taskbar</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Minimize instead of exit the application when the window is closed. When this option is enabled, the application will be closed only after selecting Quit in the menu.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>M&inimize on close</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+21"/>
<source>&Display</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>User Interface &language:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>The user interface language can be set here. This setting will take effect after restarting Wankcoin.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+11"/>
<source>&Unit to show amounts in:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>Choose the default subdivision unit to show in the interface and when sending coins.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+9"/>
<source>Whether to show Wankcoin addresses in the transaction list or not.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Display addresses in transaction list</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+71"/>
<source>&OK</source>
<translation>&ओके</translation>
</message>
<message>
<location line="+7"/>
<source>&Cancel</source>
<translation>&कैन्सल</translation>
</message>
<message>
<location line="+10"/>
<source>&Apply</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../optionsdialog.cpp" line="+53"/>
<source>default</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+130"/>
<source>Confirm options reset</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Some settings may require a client restart to take effect.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<source>Do you want to proceed?</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+42"/>
<location line="+9"/>
<source>Warning</source>
<translation>चेतावनी</translation>
</message>
<message>
<location line="-9"/>
<location line="+9"/>
<source>This setting will take effect after restarting Wankcoin.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+29"/>
<source>The supplied proxy address is invalid.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>OverviewPage</name>
<message>
<location filename="../forms/overviewpage.ui" line="+14"/>
<source>Form</source>
<translation>फार्म</translation>
</message>
<message>
<location line="+50"/>
<location line="+166"/>
<source>The displayed information may be out of date. Your wallet automatically synchronizes with the Wankcoin network after a connection is established, but this process has not completed yet.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-124"/>
<source>Balance:</source>
<translation>बाकी रकम :</translation>
</message>
<message>
<location line="+29"/>
<source>Unconfirmed:</source>
<translation>अपुष्ट :</translation>
</message>
<message>
<location line="-78"/>
<source>Wallet</source>
<translation>वॉलेट</translation>
</message>
<message>
<location line="+107"/>
<source>Immature:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>Mined balance that has not yet matured</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+46"/>
<source><b>Recent transactions</b></source>
<translation><b>हाल का लेन-देन</b></translation>
</message>
<message>
<location line="-101"/>
<source>Your current balance</source>
<translation>आपका चालू बॅलेन्स</translation>
</message>
<message>
<location line="+29"/>
<source>Total of transactions that have yet to be confirmed, and do not yet count toward the current balance</source>
<translation>लेन देन की पुष्टि अभी नहीं हुई है, इसलिए इन्हें अभी मोजुदा बैलेंस में गिना नहीं गया है|</translation>
</message>
<message>
<location filename="../overviewpage.cpp" line="+116"/>
<location line="+1"/>
<source>out of sync</source>
<translation type="unfinished"/>
</message><｜fim▁hole｜><context>
<name>PaymentServer</name>
<message>
<location filename="../paymentserver.cpp" line="+107"/>
<source>Cannot start wankcoin: click-to-pay handler</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>QRCodeDialog</name>
<message>
<location filename="../forms/qrcodedialog.ui" line="+14"/>
<source>QR Code Dialog</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+59"/>
<source>Request Payment</source>
<translation>भुगतान का अनुरोध</translation>
</message>
<message>
<location line="+56"/>
<source>Amount:</source>
<translation>राशि :</translation>
</message>
<message>
<location line="-44"/>
<source>Label:</source>
<translation>लेबल :</translation>
</message>
<message>
<location line="+19"/>
<source>Message:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+71"/>
<source>&Save As...</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../qrcodedialog.cpp" line="+62"/>
<source>Error encoding URI into QR Code.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+40"/>
<source>The entered amount is invalid, please check.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>Resulting URI too long, try to reduce the text for label / message.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+25"/>
<source>Save QR Code</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<source>PNG Images (*.png)</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>RPCConsole</name>
<message>
<location filename="../forms/rpcconsole.ui" line="+46"/>
<source>Client name</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+10"/>
<location line="+23"/>
<location line="+26"/>
<location line="+23"/>
<location line="+23"/>
<location line="+36"/>
<location line="+53"/>
<location line="+23"/>
<location line="+23"/>
<location filename="../rpcconsole.cpp" line="+339"/>
<source>N/A</source>
<translation>लागू नही
</translation>
</message>
<message>
<location line="-217"/>
<source>Client version</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-45"/>
<source>&Information</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+68"/>
<source>Using OpenSSL version</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+49"/>
<source>Startup time</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+29"/>
<source>Network</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Number of connections</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>On testnet</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>Block chain</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Current number of blocks</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>Estimated total blocks</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>Last block time</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+52"/>
<source>&Open</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+16"/>
<source>Command-line options</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Show the Wankcoin-Qt help message to get a list with possible Wankcoin command-line options.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>&Show</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+24"/>
<source>&Console</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-260"/>
<source>Build date</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-104"/>
<source>Wankcoin - Debug window</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+25"/>
<source>Wankcoin Core</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+279"/>
<source>Debug log file</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Open the Wankcoin debug log file from the current data directory. This can take a few seconds for large log files.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+102"/>
<source>Clear console</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../rpcconsole.cpp" line="-30"/>
<source>Welcome to the Wankcoin RPC console.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Use up and down arrows to navigate history, and <b>Ctrl-L</b> to clear screen.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Type <b>help</b> for an overview of available commands.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>SendCoinsDialog</name>
<message>
<location filename="../forms/sendcoinsdialog.ui" line="+14"/>
<location filename="../sendcoinsdialog.cpp" line="+124"/>
<location line="+5"/>
<location line="+5"/>
<location line="+5"/>
<location line="+6"/>
<location line="+5"/>
<location line="+5"/>
<source>Send Coins</source>
<translation>सिक्के भेजें|</translation>
</message>
<message>
<location line="+50"/>
<source>Send to multiple recipients at once</source>
<translation>एक साथ कई प्राप्तकर्ताओं को भेजें</translation>
</message>
<message>
<location line="+3"/>
<source>Add &Recipient</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+20"/>
<source>Remove all transaction fields</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Clear &All</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+22"/>
<source>Balance:</source>
<translation>बाकी रकम :</translation>
</message>
<message>
<location line="+10"/>
<source>123.456 WKC</source>
<translation>123.456 WKC</translation>
</message>
<message>
<location line="+31"/>
<source>Confirm the send action</source>
<translation>भेजने की पुष्टि करें</translation>
</message>
<message>
<location line="+3"/>
<source>S&end</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../sendcoinsdialog.cpp" line="-59"/>
<source><b>%1</b> to %2 (%3)</source>
<translation><b>%1</b> से %2 (%3)</translation>
</message>
<message>
<location line="+5"/>
<source>Confirm send coins</source>
<translation>सिक्के भेजने की पुष्टि करें</translation>
</message>
<message>
<location line="+1"/>
<source>Are you sure you want to send %1?</source>
<translation>क्या आप %1 भेजना चाहते हैं?</translation>
</message>
<message>
<location line="+0"/>
<source> and </source>
<translation>और</translation>
</message>
<message>
<location line="+23"/>
<source>The recipient address is not valid, please recheck.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>The amount to pay must be larger than 0.</source>
<translation>भेजा गया अमाउंट शुन्य से अधिक होना चाहिए|</translation>
</message>
<message>
<location line="+5"/>
<source>The amount exceeds your balance.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>The total exceeds your balance when the %1 transaction fee is included.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Duplicate address found, can only send to each address once per send operation.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Error: Transaction creation failed!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Error: The transaction was rejected. This might happen if some of the coins in your wallet were already spent, such as if you used a copy of wallet.dat and coins were spent in the copy but not marked as spent here.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>SendCoinsEntry</name>
<message>
<location filename="../forms/sendcoinsentry.ui" line="+14"/>
<source>Form</source>
<translation>फार्म</translation>
</message>
<message>
<location line="+15"/>
<source>A&mount:</source>
<translation>अमाउंट:</translation>
</message>
<message>
<location line="+13"/>
<source>Pay &To:</source>
<translation>प्राप्तकर्ता:</translation>
</message>
<message>
<location line="+34"/>
<source>The address to send the payment to (e.g. 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+60"/>
<location filename="../sendcoinsentry.cpp" line="+26"/>
<source>Enter a label for this address to add it to your address book</source>
<translation>आपकी एड्रेस बुक में इस एड्रेस के लिए एक लेबल लिखें</translation>
</message>
<message>
<location line="-78"/>
<source>&Label:</source>
<translation>लेबल:</translation>
</message>
<message>
<location line="+28"/>
<source>Choose address from address book</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+10"/>
<source>Alt+A</source>
<translation>Alt-A</translation>
</message>
<message>
<location line="+7"/>
<source>Paste address from clipboard</source>
<translation>Clipboard से एड्रेस paste करें</translation>
</message>
<message>
<location line="+10"/>
<source>Alt+P</source>
<translation>Alt-P</translation>
</message>
<message>
<location line="+7"/>
<source>Remove this recipient</source>
<translation>प्राप्तकर्ता हटायें</translation>
</message>
<message>
<location filename="../sendcoinsentry.cpp" line="+1"/>
<source>Enter a Wankcoin address (e.g. 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</source>
<translation>Wankcoin एड्रेस लिखें (उदाहरण: 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</translation>
</message>
</context>
<context>
<name>SignVerifyMessageDialog</name>
<message>
<location filename="../forms/signverifymessagedialog.ui" line="+14"/>
<source>Signatures - Sign / Verify a Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+13"/>
<source>&Sign Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>You can sign messages with your addresses to prove you own them. Be careful not to sign anything vague, as phishing attacks may try to trick you into signing your identity over to them. Only sign fully-detailed statements you agree to.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+18"/>
<source>The address to sign the message with (e.g. 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+10"/>
<location line="+213"/>
<source>Choose an address from the address book</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-203"/>
<location line="+213"/>
<source>Alt+A</source>
<translation>Alt-A</translation>
</message>
<message>
<location line="-203"/>
<source>Paste address from clipboard</source>
<translation>Clipboard से एड्रेस paste करें</translation>
</message>
<message>
<location line="+10"/>
<source>Alt+P</source>
<translation>Alt-P</translation>
</message>
<message>
<location line="+12"/>
<source>Enter the message you want to sign here</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Signature</source>
<translation>हस्ताक्षर</translation>
</message>
<message>
<location line="+27"/>
<source>Copy the current signature to the system clipboard</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+21"/>
<source>Sign the message to prove you own this Wankcoin address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Sign &Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+14"/>
<source>Reset all sign message fields</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<location line="+146"/>
<source>Clear &All</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-87"/>
<source>&Verify Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Enter the signing address, message (ensure you copy line breaks, spaces, tabs, etc. exactly) and signature below to verify the message. Be careful not to read more into the signature than what is in the signed message itself, to avoid being tricked by a man-in-the-middle attack.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+21"/>
<source>The address the message was signed with (e.g. 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+40"/>
<source>Verify the message to ensure it was signed with the specified Wankcoin address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Verify &Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+14"/>
<source>Reset all verify message fields</source>
<translation type="unfinished"/>
</message>
<message>
<location filename="../signverifymessagedialog.cpp" line="+27"/>
<location line="+3"/>
<source>Enter a Wankcoin address (e.g. 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</source>
<translation>Wankcoin एड्रेस लिखें (उदाहरण: 1NS17iag9jJgTHD1VXjvLCEnZuQ3rJDE9L)</translation>
</message>
<message>
<location line="-2"/>
<source>Click "Sign Message" to generate signature</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Enter Wankcoin signature</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+82"/>
<location line="+81"/>
<source>The entered address is invalid.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-81"/>
<location line="+8"/>
<location line="+73"/>
<location line="+8"/>
<source>Please check the address and try again.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-81"/>
<location line="+81"/>
<source>The entered address does not refer to a key.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-73"/>
<source>Wallet unlock was cancelled.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>Private key for the entered address is not available.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+12"/>
<source>Message signing failed.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Message signed.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+59"/>
<source>The signature could not be decoded.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<location line="+13"/>
<source>Please check the signature and try again.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<source>The signature did not match the message digest.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Message verification failed.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Message verified.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>SplashScreen</name>
<message>
<location filename="../splashscreen.cpp" line="+22"/>
<source>The Wankcoin developers</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>[testnet]</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>TransactionDesc</name>
<message>
<location filename="../transactiondesc.cpp" line="+20"/>
<source>Open until %1</source>
<translation>खुला है जबतक %1</translation>
</message>
<message>
<location line="+6"/>
<source>%1/offline</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>%1/unconfirmed</source>
<translation>%1/अपुष्ट</translation>
</message>
<message>
<location line="+2"/>
<source>%1 confirmations</source>
<translation>%1 पुष्टियाँ</translation>
</message>
<message>
<location line="+18"/>
<source>Status</source>
<translation type="unfinished"/>
</message>
<message numerus="yes">
<location line="+7"/>
<source>, broadcast through %n node(s)</source>
<translation type="unfinished"><numerusform></numerusform><numerusform></numerusform></translation>
</message>
<message>
<location line="+4"/>
<source>Date</source>
<translation>taareek</translation>
</message>
<message>
<location line="+7"/>
<source>Source</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+0"/>
<source>Generated</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<location line="+17"/>
<source>From</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<location line="+22"/>
<location line="+58"/>
<source>To</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-77"/>
<location line="+2"/>
<source>own address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-2"/>
<source>label</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+37"/>
<location line="+12"/>
<location line="+45"/>
<location line="+17"/>
<location line="+30"/>
<source>Credit</source>
<translation type="unfinished"/>
</message>
<message numerus="yes">
<location line="-102"/>
<source>matures in %n more block(s)</source>
<translation type="unfinished"><numerusform></numerusform><numerusform></numerusform></translation>
</message>
<message>
<location line="+2"/>
<source>not accepted</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+44"/>
<location line="+8"/>
<location line="+15"/>
<location line="+30"/>
<source>Debit</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-39"/>
<source>Transaction fee</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+16"/>
<source>Net amount</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Comment</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Transaction ID</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Generated coins must mature 120 blocks before they can be spent. When you generated this block, it was broadcast to the network to be added to the block chain. If it fails to get into the chain, its state will change to "not accepted" and it won't be spendable. This may occasionally happen if another node generates a block within a few seconds of yours.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Debug information</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>Transaction</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Inputs</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+23"/>
<source>Amount</source>
<translation>राशि</translation>
</message>
<message>
<location line="+1"/>
<source>true</source>
<translation>सही</translation>
</message>
<message>
<location line="+0"/>
<source>false</source>
<translation>ग़लत</translation>
</message>
<message>
<location line="-209"/>
<source>, has not been successfully broadcast yet</source>
<translation>, अभी तक सफलतापूर्वक प्रसारित नहीं किया गया है</translation>
</message>
<message numerus="yes">
<location line="-35"/>
<source>Open for %n more block(s)</source>
<translation type="unfinished"><numerusform></numerusform><numerusform></numerusform></translation>
</message>
<message>
<location line="+70"/>
<source>unknown</source>
<translation>अज्ञात</translation>
</message>
</context>
<context>
<name>TransactionDescDialog</name>
<message>
<location filename="../forms/transactiondescdialog.ui" line="+14"/>
<source>Transaction details</source>
<translation>लेन-देन का विवरण</translation>
</message>
<message>
<location line="+6"/>
<source>This pane shows a detailed description of the transaction</source>
<translation> ये खिड़की आपको लेन-देन का विस्तृत विवरण देगी !</translation>
</message>
</context>
<context>
<name>TransactionTableModel</name>
<message>
<location filename="../transactiontablemodel.cpp" line="+225"/>
<source>Date</source>
<translation>taareek</translation>
</message>
<message>
<location line="+0"/>
<source>Type</source>
<translation>टाइप</translation>
</message>
<message>
<location line="+0"/>
<source>Address</source>
<translation>पता</translation>
</message>
<message>
<location line="+0"/>
<source>Amount</source>
<translation>राशि</translation>
</message>
<message numerus="yes">
<location line="+57"/>
<source>Open for %n more block(s)</source>
<translation type="unfinished"><numerusform></numerusform><numerusform></numerusform></translation>
</message>
<message>
<location line="+3"/>
<source>Open until %1</source>
<translation>खुला है जबतक %1</translation>
</message>
<message>
<location line="+3"/>
<source>Offline (%1 confirmations)</source>
<translation>ऑफलाइन ( %1 पक्का करना)</translation>
</message>
<message>
<location line="+3"/>
<source>Unconfirmed (%1 of %2 confirmations)</source>
<translation>अपुष्ट ( %1 मे %2 पक्के )</translation>
</message>
<message>
<location line="+3"/>
<source>Confirmed (%1 confirmations)</source>
<translation>पक्के ( %1 पक्का करना)</translation>
</message>
<message numerus="yes">
<location line="+8"/>
<source>Mined balance will be available when it matures in %n more block(s)</source>
<translation type="unfinished"><numerusform></numerusform><numerusform></numerusform></translation>
</message>
<message>
<location line="+5"/>
<source>This block was not received by any other nodes and will probably not be accepted!</source>
<translation>यह ब्लॉक किसी भी और नोड को मिला नही है ! शायद यह ब्लॉक कोई भी नोड स्वीकारे गा नही !</translation>
</message>
<message>
<location line="+3"/>
<source>Generated but not accepted</source>
<translation>जेनरेट किया गया किंतु स्वीकारा नही गया !</translation>
</message>
<message>
<location line="+43"/>
<source>Received with</source>
<translation>स्वीकारा गया</translation>
</message>
<message>
<location line="+2"/>
<source>Received from</source>
<translation>स्वीकार्य ओर से</translation>
</message>
<message>
<location line="+3"/>
<source>Sent to</source>
<translation>भेजा गया</translation>
</message>
<message>
<location line="+2"/>
<source>Payment to yourself</source>
<translation>भेजा खुद को भुगतान</translation>
</message>
<message>
<location line="+2"/>
<source>Mined</source>
<translation>माइंड</translation>
</message>
<message>
<location line="+38"/>
<source>(n/a)</source>
<translation>(लागू नहीं)</translation>
</message>
<message>
<location line="+199"/>
<source>Transaction status. Hover over this field to show number of confirmations.</source>
<translation>ट्रांसेक्शन स्तिथि| पुष्टियों की संख्या जानने के लिए इस जगह पर माउस लायें|</translation>
</message>
<message>
<location line="+2"/>
<source>Date and time that the transaction was received.</source>
<translation>तारीख तथा समय जब ये ट्रांसेक्शन प्राप्त हुई थी|</translation>
</message>
<message>
<location line="+2"/>
<source>Type of transaction.</source>
<translation>ट्रांसेक्शन का प्रकार|</translation>
</message>
<message>
<location line="+2"/>
<source>Destination address of transaction.</source>
<translation>ट्रांसेक्शन की मंजिल का पता|</translation>
</message>
<message>
<location line="+2"/>
<source>Amount removed from or added to balance.</source>
<translation>अमाउंट बैलेंस से निकला या जमा किया गया |</translation>
</message>
</context>
<context>
<name>TransactionView</name>
<message>
<location filename="../transactionview.cpp" line="+52"/>
<location line="+16"/>
<source>All</source>
<translation>सभी</translation>
</message>
<message>
<location line="-15"/>
<source>Today</source>
<translation>आज</translation>
</message>
<message>
<location line="+1"/>
<source>This week</source>
<translation>इस हफ्ते</translation>
</message>
<message>
<location line="+1"/>
<source>This month</source>
<translation>इस महीने</translation>
</message>
<message>
<location line="+1"/>
<source>Last month</source>
<translation>पिछले महीने</translation>
</message>
<message>
<location line="+1"/>
<source>This year</source>
<translation>इस साल</translation>
</message>
<message>
<location line="+1"/>
<source>Range...</source>
<translation>विस्तार...</translation>
</message>
<message>
<location line="+11"/>
<source>Received with</source>
<translation>स्वीकार करना</translation>
</message>
<message>
<location line="+2"/>
<source>Sent to</source>
<translation>भेजा गया</translation>
</message>
<message>
<location line="+2"/>
<source>To yourself</source>
<translation>अपनेआप को</translation>
</message>
<message>
<location line="+1"/>
<source>Mined</source>
<translation>माइंड</translation>
</message>
<message>
<location line="+1"/>
<source>Other</source>
<translation>अन्य</translation>
</message>
<message>
<location line="+7"/>
<source>Enter address or label to search</source>
<translation>ढूँदने के लिए कृपा करके पता या लेबल टाइप करे !</translation>
</message>
<message>
<location line="+7"/>
<source>Min amount</source>
<translation>लघुत्तम राशि</translation>
</message>
<message>
<location line="+34"/>
<source>Copy address</source>
<translation>पता कॉपी करे</translation>
</message>
<message>
<location line="+1"/>
<source>Copy label</source>
<translation>लेबल कॉपी करे </translation>
</message>
<message>
<location line="+1"/>
<source>Copy amount</source>
<translation>कॉपी राशि</translation>
</message>
<message>
<location line="+1"/>
<source>Copy transaction ID</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Edit label</source>
<translation>एडिट लेबल</translation>
</message>
<message>
<location line="+1"/>
<source>Show transaction details</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+139"/>
<source>Export Transaction Data</source>
<translation>लेन-देन का डेटा निर्यात करे !</translation>
</message>
<message>
<location line="+1"/>
<source>Comma separated file (*.csv)</source>
<translation>Comma separated file (*.csv)</translation>
</message>
<message>
<location line="+8"/>
<source>Confirmed</source>
<translation>पक्का</translation>
</message>
<message>
<location line="+1"/>
<source>Date</source>
<translation>taareek</translation>
</message>
<message>
<location line="+1"/>
<source>Type</source>
<translation>टाइप</translation>
</message>
<message>
<location line="+1"/>
<source>Label</source>
<translation>लेबल</translation>
</message>
<message>
<location line="+1"/>
<source>Address</source>
<translation>पता</translation>
</message>
<message>
<location line="+1"/>
<source>Amount</source>
<translation>राशि</translation>
</message>
<message>
<location line="+1"/>
<source>ID</source>
<translation>ID</translation>
</message>
<message>
<location line="+4"/>
<source>Error exporting</source>
<translation>ग़लतियाँ एक्सपोर्ट (निर्यात) करे!</translation>
</message>
<message>
<location line="+0"/>
<source>Could not write to file %1.</source>
<translation>फाइल में लिख नही सके %1.</translation>
</message>
<message>
<location line="+100"/>
<source>Range:</source>
<translation>विस्तार:</translation>
</message>
<message>
<location line="+8"/>
<source>to</source>
<translation>तक</translation>
</message>
</context>
<context>
<name>WalletModel</name>
<message>
<location filename="../walletmodel.cpp" line="+193"/>
<source>Send Coins</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>WalletView</name>
<message>
<location filename="../walletview.cpp" line="+42"/>
<source>&Export</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Export the data in the current tab to a file</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+193"/>
<source>Backup Wallet</source>
<translation>बैकप वॉलेट</translation>
</message>
<message>
<location line="+0"/>
<source>Wallet Data (*.dat)</source>
<translation>वॉलेट डेटा (*.dat)</translation>
</message>
<message>
<location line="+3"/>
<source>Backup Failed</source>
<translation>बैकप असफल</translation>
</message>
<message>
<location line="+0"/>
<source>There was an error trying to save the wallet data to the new location.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Backup Successful</source>
<translation>बैकप सफल</translation>
</message>
<message>
<location line="+0"/>
<source>The wallet data was successfully saved to the new location.</source>
<translation type="unfinished"/>
</message>
</context>
<context>
<name>wankcoin-core</name>
<message>
<location filename="../bitcoinstrings.cpp" line="+94"/>
<source>Wankcoin version</source>
<translation>बीटकोइन संस्करण</translation>
</message>
<message>
<location line="+102"/>
<source>Usage:</source>
<translation>खपत :</translation>
</message>
<message>
<location line="-29"/>
<source>Send command to -server or wankcoind</source>
<translation>-server या wankcoind को कमांड भेजें</translation>
</message>
<message>
<location line="-23"/>
<source>List commands</source>
<translation>commands की लिस्ट बनाएं</translation>
</message>
<message>
<location line="-12"/>
<source>Get help for a command</source>
<translation>किसी command के लिए मदद लें</translation>
</message>
<message>
<location line="+24"/>
<source>Options:</source>
<translation>विकल्प:</translation>
</message>
<message>
<location line="+24"/>
<source>Specify configuration file (default: wankcoin.conf)</source>
<translation>configuraion की फाइल का विवरण दें (default: wankcoin.conf)</translation>
</message>
<message>
<location line="+3"/>
<source>Specify pid file (default: wankcoind.pid)</source>
<translation>pid फाइल का विवरण दें (default: wankcoin.pid)</translation>
</message>
<message>
<location line="-1"/>
<source>Specify data directory</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-9"/>
<source>Set database cache size in megabytes (default: 25)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-28"/>
<source>Listen for connections on <port> (default: 9336 or testnet: 19336)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Maintain at most <n> connections to peers (default: 125)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-48"/>
<source>Connect to a node to retrieve peer addresses, and disconnect</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+82"/>
<source>Specify your own public address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Threshold for disconnecting misbehaving peers (default: 100)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-134"/>
<source>Number of seconds to keep misbehaving peers from reconnecting (default: 86400)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-29"/>
<source>An error occurred while setting up the RPC port %u for listening on IPv4: %s</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+27"/>
<source>Listen for JSON-RPC connections on <port> (default: 9335 or testnet: 19335)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+37"/>
<source>Accept command line and JSON-RPC commands</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+76"/>
<source>Run in the background as a daemon and accept commands</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+37"/>
<source>Use the test network</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-112"/>
<source>Accept connections from outside (default: 1 if no -proxy or -connect)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-80"/>
<source>%s, you must set a rpcpassword in the configuration file:
%s
It is recommended you use the following random password:
rpcuser=wankcoinrpc
rpcpassword=%s
(you do not need to remember this password)
The username and password MUST NOT be the same.
If the file does not exist, create it with owner-readable-only file permissions.
It is also recommended to set alertnotify so you are notified of problems;
for example: alertnotify=echo %%s | mail -s "Wankcoin Alert" [email protected]
</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+17"/>
<source>An error occurred while setting up the RPC port %u for listening on IPv6, falling back to IPv4: %s</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Bind to given address and always listen on it. Use [host]:port notation for IPv6</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Cannot obtain a lock on data directory %s. Wankcoin is probably already running.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Error: The transaction was rejected! This might happen if some of the coins in your wallet were already spent, such as if you used a copy of wallet.dat and coins were spent in the copy but not marked as spent here.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Error: This transaction requires a transaction fee of at least %s because of its amount, complexity, or use of recently received funds!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Execute command when a relevant alert is received (%s in cmd is replaced by message)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Execute command when a wallet transaction changes (%s in cmd is replaced by TxID)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+11"/>
<source>Set maximum size of high-priority/low-fee transactions in bytes (default: 27000)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>This is a pre-release test build - use at your own risk - do not use for mining or merchant applications</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Warning: -paytxfee is set very high! This is the transaction fee you will pay if you send a transaction.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Warning: Displayed transactions may not be correct! You may need to upgrade, or other nodes may need to upgrade.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Warning: Please check that your computer's date and time are correct! If your clock is wrong Wankcoin will not work properly.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Warning: error reading wallet.dat! All keys read correctly, but transaction data or address book entries might be missing or incorrect.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Warning: wallet.dat corrupt, data salvaged! Original wallet.dat saved as wallet.{timestamp}.bak in %s; if your balance or transactions are incorrect you should restore from a backup.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+14"/>
<source>Attempt to recover private keys from a corrupt wallet.dat</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Block creation options:</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Connect only to the specified node(s)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Corrupted block database detected</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Discover own IP address (default: 1 when listening and no -externalip)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Do you want to rebuild the block database now?</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Error initializing block database</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Error initializing wallet database environment %s!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Error loading block database</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Error opening block database</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Error: Disk space is low!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Error: Wallet locked, unable to create transaction!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Error: system error: </source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to listen on any port. Use -listen=0 if you want this.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to read block info</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to read block</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to sync block index</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write block index</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write block info</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write block</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write file info</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write to coin database</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write transaction index</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Failed to write undo data</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Find peers using DNS lookup (default: 1 unless -connect)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Generate coins (default: 0)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>How many blocks to check at startup (default: 288, 0 = all)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>How thorough the block verification is (0-4, default: 3)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+19"/>
<source>Not enough file descriptors available.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>Rebuild block chain index from current blk000??.dat files</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+16"/>
<source>Set the number of threads to service RPC calls (default: 4)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+26"/>
<source>Verifying blocks...</source>
<translation>ब्लॉक्स जाँचे जा रहा है...</translation>
</message>
<message>
<location line="+1"/>
<source>Verifying wallet...</source>
<translation>वॉलेट जाँचा जा रहा है...</translation>
</message>
<message>
<location line="-69"/>
<source>Imports blocks from external blk000??.dat file</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-76"/>
<source>Set the number of script verification threads (up to 16, 0 = auto, <0 = leave that many cores free, default: 0)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+77"/>
<source>Information</source>
<translation>जानकारी</translation>
</message>
<message>
<location line="+3"/>
<source>Invalid -tor address: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Invalid amount for -minrelaytxfee=<amount>: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Invalid amount for -mintxfee=<amount>: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+8"/>
<source>Maintain a full transaction index (default: 0)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Maximum per-connection receive buffer, <n>*1000 bytes (default: 5000)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Maximum per-connection send buffer, <n>*1000 bytes (default: 1000)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Only accept block chain matching built-in checkpoints (default: 1)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Only connect to nodes in network <net> (IPv4, IPv6 or Tor)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Output extra debugging information. Implies all other -debug* options</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Output extra network debugging information</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Prepend debug output with timestamp</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>SSL options: (see the Wankcoin Wiki for SSL setup instructions)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Select the version of socks proxy to use (4-5, default: 5)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Send trace/debug info to console instead of debug.log file</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Send trace/debug info to debugger</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+5"/>
<source>Set maximum block size in bytes (default: 250000)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Set minimum block size in bytes (default: 0)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Shrink debug.log file on client startup (default: 1 when no -debug)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Signing transaction failed</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Specify connection timeout in milliseconds (default: 5000)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>System error: </source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Transaction amount too small</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Transaction amounts must be positive</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Transaction too large</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+7"/>
<source>Use UPnP to map the listening port (default: 0)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Use UPnP to map the listening port (default: 1 when listening)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Use proxy to reach tor hidden services (default: same as -proxy)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+2"/>
<source>Username for JSON-RPC connections</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+4"/>
<source>Warning</source>
<translation>चेतावनी</translation>
</message>
<message>
<location line="+1"/>
<source>Warning: This version is obsolete, upgrade required!</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>You need to rebuild the databases using -reindex to change -txindex</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>wallet.dat corrupt, salvage failed</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-50"/>
<source>Password for JSON-RPC connections</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-67"/>
<source>Allow JSON-RPC connections from specified IP address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+76"/>
<source>Send commands to node running on <ip> (default: 127.0.0.1)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-120"/>
<source>Execute command when the best block changes (%s in cmd is replaced by block hash)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+147"/>
<source>Upgrade wallet to latest format</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-21"/>
<source>Set key pool size to <n> (default: 100)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-12"/>
<source>Rescan the block chain for missing wallet transactions</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+35"/>
<source>Use OpenSSL (https) for JSON-RPC connections</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-26"/>
<source>Server certificate file (default: server.cert)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Server private key (default: server.pem)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-151"/>
<source>Acceptable ciphers (default: TLSv1+HIGH:!SSLv2:!aNULL:!eNULL:!AH:!3DES:@STRENGTH)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+165"/>
<source>This help message</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+6"/>
<source>Unable to bind to %s on this computer (bind returned error %d, %s)</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-91"/>
<source>Connect through socks proxy</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-10"/>
<source>Allow DNS lookups for -addnode, -seednode and -connect</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+55"/>
<source>Loading addresses...</source>
<translation>पता पुस्तक आ रही है...</translation>
</message>
<message>
<location line="-35"/>
<source>Error loading wallet.dat: Wallet corrupted</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Error loading wallet.dat: Wallet requires newer version of Wankcoin</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+93"/>
<source>Wallet needed to be rewritten: restart Wankcoin to complete</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-95"/>
<source>Error loading wallet.dat</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+28"/>
<source>Invalid -proxy address: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+56"/>
<source>Unknown network specified in -onlynet: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-1"/>
<source>Unknown -socks proxy version requested: %i</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-96"/>
<source>Cannot resolve -bind address: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Cannot resolve -externalip address: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+44"/>
<source>Invalid amount for -paytxfee=<amount>: '%s'</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+1"/>
<source>Invalid amount</source>
<translation>राशि ग़लत है</translation>
</message>
<message>
<location line="-6"/>
<source>Insufficient funds</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+10"/>
<source>Loading block index...</source>
<translation>ब्लॉक इंडेक्स आ रहा है...</translation>
</message>
<message>
<location line="-57"/>
<source>Add a node to connect to and attempt to keep the connection open</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-25"/>
<source>Unable to bind to %s on this computer. Wankcoin is probably already running.</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+64"/>
<source>Fee per KB to add to transactions you send</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+19"/>
<source>Loading wallet...</source>
<translation>वॉलेट आ रहा है...</translation>
</message>
<message>
<location line="-52"/>
<source>Cannot downgrade wallet</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+3"/>
<source>Cannot write default address</source>
<translation type="unfinished"/>
</message>
<message>
<location line="+64"/>
<source>Rescanning...</source>
<translation>रि-स्केनी-इंग...</translation>
</message>
<message>
<location line="-57"/>
<source>Done loading</source>
<translation>लोड हो गया|</translation>
</message>
<message>
<location line="+82"/>
<source>To use the %s option</source>
<translation type="unfinished"/>
</message>
<message>
<location line="-74"/>
<source>Error</source>
<translation>भूल</translation>
</message>
<message>
<location line="-31"/>
<source>You must set rpcpassword=<password> in the configuration file:
%s
If the file does not exist, create it with owner-readable-only file permissions.</source>
<translation type="unfinished"/>
</message>
</context>
</TS><｜fim▁end｜> | </context> |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
#
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2016 Clear ICT Solutions (<[email protected]>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the<｜fim▁hole｜># along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#
# flake8: noqa
from . import models<｜fim▁end｜> | # GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License |
<|file_name|>models.py<|end_file_name|><｜fim▁begin｜>from django.db import models
from _datetime import date
class Restaurant(models.Model):
name = models.CharField(max_length=200)
transportation = models.BooleanField(default=False)
weatherSensetion = models.BooleanField(default=False)
status = models.BooleanField(default=True)
totalDay = models.IntegerField(default=0)
counter = models.IntegerField(default=0)
def __str__(self):<｜fim▁hole｜>
def deleteRest(self, deleteId):
self.objects.filter(id=deleteId).delete()
def updateStatus(self, newStatus, updateId):
self.objects.get(id=updateId).update(status = newStatus)<｜fim▁end｜> | return self.name |
<|file_name|>screenShare.js<|end_file_name|><｜fim▁begin｜>'use strict';
var SIGNALING_SERVER = 'https://112.108.40.152:443/';
var config = {
openSocket: function(config) {
console.log('s1');
/*
Firebase ver.
*/
var channel = config.channel || 'screen-capturing-' + location.href.replace( /\/|:|#|%|\.|\[|\]/g , '');
var socket = new Firebase('https://webrtc.firebaseIO.com/' + channel);
socket.channel = channel;
socket.on("child_added", function(data) {
console.log('s2');
config.onmessage && config.onmessage(data.val());
});
socket.send = function(data) {
console.log('s3');
this.push(data);
};
config.onopen && setTimeout(config.onopen, 1);
socket.onDisconnect().remove();
return socket;
/*
Socket.io ver. (Not yet)
*/
//var SIGNALING_SERVER = 'https://112.108.40.152:443/';
//
//config.channel = config.channel || location.href.replace(/\/|:|#|%|\.|\[|\]/g, '');
//var sender = Math.round(Math.random() * 999999999) + 999999999;
//
//io.connect(SIGNALING_SERVER).emit('new-channel', {
// channel: config.channel,
// sender: sender
//});
//
//var socket = io.connect(SIGNALING_SERVER + config.channel);
//socket.channel = config.channel;
//socket.on('connect', function () {
// if (config.callback) config.callback(socket);
//});
//
//socket.send = function (message) {
// socket.emit('message', {
// sender: sender,
// data: message
// });
//};
//
//socket.on('message', config.onmessage);
},
onRemoteStream: function(media) {
console.log('s4');
var video = media.video;
video.setAttribute('controls', true);
videosContainer.insertBefore(video, videosContainer.firstChild);
video.play();
},
onRoomFound: function(room) {
console.log('s5');
dualrtcUI.joinRoom({
roomToken: room.broadcaster,
joinUser: room.broadcaster
});
},
onNewParticipant: function(numberOfParticipants) {
console.log('s7');
//document.title = numberOfParticipants + ' users are viewing your screen!';
},
oniceconnectionstatechange: function(state) {
console.log('s8');
if(state == 'failed') {<｜fim▁hole｜> alert('Failed to bypass Firewall rules.');
}
if(state == 'connected') {
alert('A user successfully received screen.');
}
}
}; // end of config
function captureUserMedia(callback, extensionAvailable) {
console.log('s9');
console.log('captureUserMedia chromeMediaSource', DetectRTC.screen.chromeMediaSource);
var screen_constraints = {
mandatory: {
chromeMediaSource: DetectRTC.screen.chromeMediaSource,
maxWidth: screen.width > 1920 ? screen.width : 1920,
maxHeight: screen.height > 1080 ? screen.height : 1080
// minAspectRatio: 1.77
},
optional: [{ // non-official Google-only optional constraints
googTemporalLayeredScreencast: true
}, {
googLeakyBucket: true
}]
};
// try to check if extension is installed.
if(isChrome && typeof extensionAvailable == 'undefined' && DetectRTC.screen.chromeMediaSource != 'desktop') {
DetectRTC.screen.isChromeExtensionAvailable(function(available) {
console.log('s10');
captureUserMedia(callback, available);
});
return;
}
if(isChrome && DetectRTC.screen.chromeMediaSource == 'desktop' && !DetectRTC.screen.sourceId) {
DetectRTC.screen.getSourceId(function(error) {
console.log('s11');
if(error && error == 'PermissionDeniedError') {
alert('PermissionDeniedError: User denied to share content of his screen.');
}
captureUserMedia(callback);
});
return;
}
if(isChrome && !DetectRTC.screen.sourceId) {
window.addEventListener('message', function (event) {
console.log('s12');
if (event.data && event.data.chromeMediaSourceId) {
var sourceId = event.data.chromeMediaSourceId;
DetectRTC.screen.sourceId = sourceId;
DetectRTC.screen.chromeMediaSource = 'desktop';
if (sourceId == 'PermissionDeniedError') {
return alert('User denied to share content of his screen.');
}
captureUserMedia(callback, true);
}
if (event.data && event.data.chromeExtensionStatus) {
warn('Screen capturing extension status is:', event.data.chromeExtensionStatus);
DetectRTC.screen.chromeMediaSource = 'screen';
captureUserMedia(callback, true);
}
});
return;
}
if(isChrome && DetectRTC.screen.chromeMediaSource == 'desktop') {
screen_constraints.mandatory.chromeMediaSourceId = DetectRTC.screen.sourceId;
}
var constraints = {
audio: false,
video: screen_constraints
};
if(!!navigator.mozGetUserMedia) {
console.warn(Firefox_Screen_Capturing_Warning);
constraints.video = {
mozMediaSource: 'window',
mediaSource: 'window',
maxWidth: 1920,
maxHeight: 1080,
minAspectRatio: 1.77
};
}
console.log( JSON.stringify( constraints , null, '\t') );
var video = document.createElement('video');
video.setAttribute('autoplay', true);
video.setAttribute('controls', true);
videosContainer.insertBefore(video, videosContainer.firstChild);
getUserMedia({
video: video,
constraints: constraints,
onsuccess: function(stream) {
console.log('s13');
config.attachStream = stream;
callback && callback();
video.setAttribute('muted', true);
},
onerror: function() {
console.log('s14');
if (isChrome && location.protocol === 'http:') {
alert('Please test on HTTPS.');
} else if(isChrome) {
alert('Screen capturing is either denied or not supported. Please install chrome extension for screen capturing or run chrome with command-line flag: --enable-usermedia-screen-capturing');
}
else if(!!navigator.mozGetUserMedia) {
alert(Firefox_Screen_Capturing_Warning);
}
}
});
} // end of captureUserMedia
var dualrtcUI = dualrtc(config);
var videosContainer = document.getElementById('videos-container');
var secure = (Math.random() * new Date().getTime()).toString(36).toUpperCase().replace( /\./g , '-');
var makeName = $('#makeName');
var joinName = $('#joinName');
var btnMakeRoom = $('#btnMakeRoom');
var btnJoinRoom = $('#btnJoinRoom');
var btnCopy = $('#btnCopy');
var divMake = $('#divMakeRoom');
var divJoin = $('#divJoinRoom');
var divScreen = $('#divScreen');
// about description
var divDescript = $('#divDescript');
var divInstallCE01 = $('#divInstallCE01');
var divInstallCE02 = $('#divInstallCE02');
var divWikiWDDM = $('#divWikiWDDM');
btnMakeRoom.click(function () {
if (makeName.val()) {
makeName.attr('disabled', true);
btnJoinRoom.attr('disabled', true);
joinName.attr('disabled', true);
btnJoinRoom.attr('disabled', true);
window.open('about:black').location.href = location.href + makeName.val();
}
});
btnJoinRoom.click(function () {
if (joinName.val()) {
joinName.attr('disabled', true);
btnJoinRoom.attr('disabled', true);
window.open('about:black').location.href = location.href + joinName.val();
}
});
btnCopy.click(function () {
makeName.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'successful' : 'unsuccessful';
console.log('Copy email command was ' + msg);
} catch(err) {
console.log('Oops, unable to copy');
}
});
divInstallCE01.click(function () {
window.open('about:black').location.href = 'https://chrome.google.com/webstore/detail/desktopcapture/mhpddeoilenchcefgimjlbbccdiepnnk';
});
divInstallCE02.click(function () {
window.open('about:black').location.href = 'https://chrome.google.com/webstore/detail/dualrtcio/kdgjponegkkhkigjlknapimncipajbpi';
});
divWikiWDDM.click(function () {
window.open('about:black').location.href = 'https://dualrtc-io.github.io/';
});
(function() {
if (location.hash.length <= 2) {
makeName.val(secure);
//makeName.attr('placeholder', secure);
}
else { // 방 들어왔을 때
var roomName = location.hash.substring(2, 21);
if (divMake.css('display') == 'block') $('#divMakeRoom').hide();
if (divJoin.css('display') == 'block') $('#divJoinRoom').hide();
if (divScreen.css('display') == 'none') $('#divScreen').show();
if (divDescript.css('display') == 'block') $('#divDescript').hide();
captureUserMedia(function() {
dualrtcUI.createRoom({
roomName: (roomName || 'Anonymous') + ' shared his screen with you'
});
});
}
})();
var Firefox_Screen_Capturing_Warning = 'Make sure that you are using Firefox Nightly and you enabled: media.getusermedia.screensharing.enabled flag from about:config page. You also need to add your domain in "media.getusermedia.screensharing.allowed_domains" flag.';<｜fim▁end｜> | |
<|file_name|>static_dict_lut.rs<|end_file_name|><｜fim▁begin｜>#![allow(dead_code)]
pub static kInvalidMatch: u32 = 0xfffffff;
pub static kDictNumBits: i32 = 15;
pub static kDictHashMul32: u32 = 0x1e35a7bd;
pub static kStaticDictionaryBuckets: [u16; 32768] =
[1,0,0,0,0,0,0,0,0,3,6,0,0,0,0,0,20,0,0,0,21,0,22,0,0,0,0,0,0,0,0,
23,0,0,25,0,29,0,53,0,0,0,0,0,0,55,0,0,0,0,0,0,61,76,0,0,0,94,0,0,
0,0,0,0,96,0,97,0,98,0,0,0,0,0,0,0,99,101,106,108,0,0,0,0,0,110,0,
111,112,0,113,118,124,0,0,0,0,0,125,128,0,0,0,0,129,0,0,131,0,0,0,0,0,
0,132,0,0,135,0,0,0,137,0,0,0,0,0,138,139,0,0,0,0,0,0,0,142,143,144,
0,0,0,0,0,145,0,0,0,146,149,151,152,0,0,153,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,154,0,0,0,0,0,0,155,0,0,0,0,160,182,0,0,0,0,0,0,183,0,0,0,188,
189,0,0,192,0,0,0,0,0,0,194,0,0,0,0,0,0,0,0,197,202,209,0,0,210,0,
224,0,0,0,225,0,0,0,0,0,0,0,0,0,0,231,0,0,0,232,0,240,0,0,242,0,0,0,
0,0,0,0,0,0,0,0,244,0,0,0,246,0,0,249,251,253,0,0,0,0,0,258,0,0,261,
263,0,0,0,267,0,0,268,0,269,0,0,0,0,0,0,0,0,0,271,0,0,0,0,0,0,272,0,
273,0,277,0,278,286,0,0,0,0,287,0,289,290,291,0,0,0,295,0,0,296,297,0,
0,0,0,0,0,0,0,0,0,298,0,0,0,299,0,0,305,0,324,0,0,0,0,0,327,0,328,
329,0,0,0,0,336,0,0,340,0,341,342,343,0,0,346,0,348,0,0,0,0,0,0,349,
351,0,0,355,0,363,0,364,0,368,369,0,370,0,0,0,0,0,0,0,372,0,0,0,0,0,
0,0,0,0,0,0,373,0,375,0,0,0,0,376,377,0,0,394,395,396,0,0,398,0,0,0,
0,400,0,0,408,0,0,0,0,420,0,0,0,0,0,0,421,0,0,422,423,0,0,429,435,436,
442,0,0,443,0,444,445,453,456,0,457,0,0,0,0,0,458,0,0,0,459,0,0,0,460,
0,462,463,465,0,0,0,0,0,0,466,469,0,0,0,0,0,0,470,0,0,0,474,0,476,0,
0,0,0,483,0,485,0,0,0,486,0,0,488,491,492,0,0,497,499,500,0,501,0,0,0,
505,0,0,506,0,0,0,507,0,0,0,509,0,0,0,0,511,512,519,0,0,0,0,0,0,529,
530,0,0,0,534,0,0,0,0,543,0,0,0,0,0,0,0,0,0,553,0,0,0,0,557,560,0,0,
0,0,0,0,561,0,564,0,0,0,0,0,0,565,566,0,575,0,619,0,620,0,0,623,624,0,
0,0,625,0,0,626,627,0,0,628,0,0,0,0,630,0,631,0,0,0,0,0,0,0,0,0,641,
0,0,0,0,643,656,668,0,0,0,673,0,0,0,674,0,0,0,0,0,0,0,0,682,0,687,0,
690,0,693,699,700,0,0,0,0,0,0,704,705,0,0,0,0,707,710,0,711,0,0,0,0,
726,0,0,729,0,0,0,730,731,0,0,0,0,0,752,0,0,0,762,0,763,0,0,767,0,0,
0,770,774,0,0,775,0,0,0,0,0,0,0,0,0,0,776,0,0,0,777,783,0,0,0,785,
788,0,0,0,0,790,0,0,0,793,0,0,0,0,794,0,0,804,819,821,0,827,0,0,0,834,
0,0,835,0,0,0,841,0,844,0,850,851,859,0,860,0,0,0,0,0,0,0,874,0,876,0,
877,890,0,0,0,0,0,0,0,0,893,894,898,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
899,0,0,0,900,904,906,0,0,0,907,0,908,909,0,910,0,0,0,0,911,0,0,0,0,0,
916,0,0,0,922,925,0,930,0,934,0,0,0,0,0,943,0,0,944,0,953,954,0,0,0,0,
0,0,955,0,962,963,0,0,976,0,0,977,978,979,980,0,981,0,0,0,0,984,0,0,
985,0,0,987,989,991,0,0,0,0,0,0,0,0,0,992,0,0,0,993,0,0,0,0,0,0,996,
0,0,0,1000,0,0,0,0,0,1002,0,0,0,0,1005,1007,0,0,0,1009,0,0,0,1010,0,0,
0,0,0,0,1011,0,1012,0,0,0,0,1014,1016,0,0,0,1020,0,1021,0,0,0,0,1022,0,
0,0,1024,0,0,0,0,0,0,1025,0,0,1026,1027,0,0,0,0,0,1031,0,1033,0,0,0,0,
1034,0,0,0,1037,1040,0,0,0,1042,1043,0,0,1053,0,1054,0,0,1057,0,0,0,1058,
0,0,1060,0,0,0,0,0,0,0,1061,0,0,1062,0,0,0,0,1063,0,0,0,0,1064,0,0,0,
0,0,1065,0,0,0,0,1066,1067,0,0,0,1069,1070,1072,0,0,0,0,0,0,1073,0,1075,
0,0,0,0,0,0,1080,1084,0,0,0,0,1088,0,0,0,0,0,0,1094,0,1095,0,1107,0,0,
0,1112,1114,0,1119,0,1122,0,0,1126,0,1129,0,1130,0,0,0,0,0,1132,0,0,0,0,
0,0,1144,0,0,1145,1146,0,1148,1149,0,0,1150,1151,0,0,0,0,1152,0,1153,0,0,
0,0,0,1154,0,1163,0,0,0,1164,0,0,0,0,0,1165,0,1167,0,1170,0,0,0,0,0,
1171,1172,0,0,0,0,0,0,0,0,1173,1175,1177,0,1186,0,0,0,0,0,0,0,0,0,0,
1195,0,0,1221,0,0,1224,0,0,1227,0,0,0,0,0,1228,1229,0,0,1230,0,0,0,0,0,
0,0,0,0,1231,0,0,0,1233,0,0,1243,1244,1246,1248,0,0,0,0,1254,1255,1258,
1259,0,0,0,1260,0,0,1261,0,0,0,1262,1264,0,0,1265,0,0,0,0,0,0,0,0,0,0,
0,0,1266,0,1267,0,0,0,0,1273,1274,1276,1289,0,0,1291,1292,1293,0,0,1294,
1295,1296,0,0,0,0,1302,0,1304,0,0,0,0,0,0,0,0,0,1311,1312,0,1314,0,1316,
1320,1321,0,0,0,0,0,0,0,1322,1323,1324,0,1335,0,1336,0,0,0,0,1341,1342,0,
1346,0,1357,0,0,0,1358,1360,0,0,0,0,0,0,1361,0,0,0,1362,1365,0,1366,0,0,
0,0,0,0,0,1379,0,0,0,0,0,0,0,0,0,0,0,0,1386,0,1388,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,1395,0,0,0,0,1403,0,1405,0,0,1407,0,0,0,0,0,1408,1409,0,
1410,0,0,0,1412,1413,1416,0,0,1429,1451,0,0,1454,0,0,0,0,0,0,0,1455,0,0,
0,0,0,0,0,1456,0,0,0,0,1459,1460,1461,1475,0,0,0,0,0,0,1477,0,1480,0,
1481,0,0,1486,0,0,1495,0,0,0,1496,0,0,1498,1499,1501,1520,1521,0,0,0,1526,
0,0,0,0,1528,1529,0,1533,1536,0,0,0,1537,1538,1549,0,1550,1558,1559,1572,0,
1573,0,0,0,0,0,0,0,0,0,1575,0,0,0,0,0,1579,0,1599,0,1603,0,1604,0,1605,
0,0,0,0,0,1608,1610,0,0,0,0,1611,0,1615,0,1616,1618,0,1619,0,0,1622,0,0,
0,0,1634,0,0,0,1635,0,0,0,1641,0,0,0,0,0,0,0,0,0,1643,0,0,0,1650,0,0,
1652,0,0,0,0,0,1653,0,0,0,1654,0,0,0,0,1655,0,1662,0,0,1663,1664,0,0,
1668,0,0,1669,1670,0,1672,1673,0,0,0,0,0,1674,0,0,0,1675,1676,1680,0,1682,
0,0,1687,0,0,0,0,0,1704,0,0,1705,0,0,1721,0,0,0,0,1734,1735,0,0,0,0,
1737,0,0,0,0,1739,0,0,1740,0,0,0,0,0,0,0,0,0,0,1741,1743,0,0,0,0,1745,
0,0,0,1749,0,0,0,1751,0,0,0,0,0,0,1760,0,0,0,0,1765,0,0,0,0,0,1784,0,
1785,1787,0,0,0,0,1788,1789,0,0,0,0,1790,1791,1793,0,1798,1799,0,0,0,0,
1801,0,1803,1805,0,0,0,1806,1811,0,1812,1814,0,1821,0,0,0,0,0,1822,1833,0,
0,0,0,0,0,1848,0,0,0,0,0,0,1857,0,0,0,1859,0,0,0,0,1861,0,0,0,0,0,0,
0,1866,0,1921,1925,0,0,0,1929,1930,0,0,0,0,0,0,0,0,0,1931,0,0,0,0,1932,
0,0,0,1934,0,0,0,0,0,0,0,0,1946,0,0,1948,0,0,0,0,1950,0,1957,0,1958,0,
0,0,0,0,1965,1967,0,0,0,0,1968,0,1969,0,1971,1972,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,1973,0,0,0,0,1975,0,0,0,0,1976,1979,0,1982,0,0,0,0,1984,1988,
0,0,0,0,1990,2004,2008,0,0,0,2012,2013,0,0,0,0,0,0,0,0,0,0,2015,0,2016,
2017,0,0,0,0,2021,0,0,2025,0,0,0,0,0,2029,2036,2040,0,2042,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,2043,0,0,0,0,0,2045,0,0,0,0,0,0,0,2046,2047,0,2048,
2049,0,2059,0,0,2063,0,2064,2065,0,0,2066,0,0,0,0,0,0,2069,0,0,0,0,2070,
0,2071,0,2072,0,0,0,0,2080,2082,2083,0,0,0,0,0,2085,0,2086,2088,2089,2105,
0,0,0,0,2107,0,0,2116,2117,0,2120,0,0,2122,0,0,0,0,0,2123,0,0,2125,2127,
2128,0,0,0,2130,0,0,0,2137,2139,2140,2141,0,0,0,0,0,0,0,0,0,2144,2145,0,
0,2146,2149,0,0,0,0,2150,0,0,2151,2158,0,2159,0,2160,0,0,0,0,0,0,2161,
2162,0,0,2194,2202,0,0,0,0,0,0,2205,2217,0,2220,0,2221,0,2222,2224,0,0,0,
0,2237,0,0,0,0,0,2238,0,2239,2241,0,0,2242,0,0,0,0,0,2243,0,0,0,0,0,0,
2252,0,0,2253,0,0,0,2257,2258,0,0,0,2260,0,0,0,0,0,0,0,2262,0,2264,0,0,
0,0,0,2269,2270,0,0,0,0,0,0,0,0,0,2271,0,2273,0,0,0,0,2277,0,0,0,0,
2278,0,0,0,0,2279,0,2280,0,2283,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2287,0,0,0,0,0,0,0,2289,2290,0,0,0,0,2291,0,2292,0,0,0,2293,2295,2296,0,
0,0,0,0,0,0,2298,0,0,0,0,0,2303,0,2305,0,0,2306,0,2307,0,0,0,0,0,0,0,
0,0,0,0,0,2313,2314,2315,2316,0,0,2318,0,2319,0,2322,0,0,2323,0,2324,0,
2326,0,0,0,0,0,0,0,2335,0,2336,2338,2339,0,2340,0,0,0,2355,0,2375,0,2382,
2386,0,2387,0,0,2394,0,0,0,0,2395,0,2397,0,0,0,0,0,2398,0,0,0,0,0,0,0,
2399,2402,2404,2408,2411,0,0,0,2413,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2415,0,
0,2416,2417,2419,0,2420,0,0,0,0,0,2425,0,0,0,2426,0,0,0,0,0,0,0,0,0,0,
0,0,2427,2428,0,2429,0,0,2430,2434,0,2436,0,0,0,0,0,0,2441,2442,0,2445,0,
0,2446,2457,0,2459,0,0,2462,0,2464,0,2477,0,2478,2486,0,0,0,2491,0,0,2493,
0,0,2494,0,2495,0,2513,2523,0,0,0,0,2524,0,0,0,0,0,0,2528,2529,2530,0,0,
2531,0,2533,0,0,2534,2535,0,2536,2537,0,2538,0,2539,2540,0,0,0,2545,2546,0,
0,0,0,0,0,0,2548,0,0,2549,0,2550,2555,0,0,0,0,0,2557,0,2560,0,0,0,0,0,
0,0,0,0,0,0,2561,0,2576,0,0,0,0,0,0,0,0,0,2577,2578,0,0,0,2579,0,0,0,
0,0,0,0,2580,0,0,0,0,2581,0,0,0,0,2583,0,2584,0,2588,2590,0,0,0,2591,0,
0,0,0,2593,2594,0,2595,0,2601,2602,0,0,2603,0,2605,0,0,0,2606,2607,2611,0,
2615,0,0,0,2617,0,0,0,0,0,0,0,0,0,0,0,0,0,2619,0,0,2620,0,0,0,2621,0,
2623,0,2625,0,0,2628,2629,0,0,2635,2636,2637,0,0,2639,0,0,0,2642,0,0,0,0,
2643,0,2644,0,2649,0,0,0,0,0,0,2655,2656,0,0,2657,0,0,0,0,0,2658,0,0,0,
0,0,2659,0,0,0,0,2664,2685,0,2687,0,2688,0,0,2689,0,0,2694,0,2695,0,0,
2698,0,2701,2706,0,0,0,2707,0,2709,2710,2711,0,0,0,2720,2730,2735,0,0,0,0,
2738,2740,0,0,0,0,2747,0,0,0,0,0,0,2748,0,0,2749,0,0,0,0,0,2750,0,0,
2752,2754,0,0,0,0,0,2758,0,0,0,0,2762,0,0,0,0,2763,0,0,0,0,0,0,0,2764,
2767,0,0,0,0,2768,0,0,2770,0,0,0,0,0,0,0,2771,0,0,0,0,0,0,0,0,0,2772,
0,0,0,0,0,2773,2776,0,0,2783,0,0,2784,0,2789,0,2790,0,0,0,2792,0,0,0,0,
0,0,0,0,0,0,2793,2795,0,0,0,0,0,0,2796,0,0,0,0,0,0,2797,2799,0,0,0,0,
2803,0,0,0,0,2806,0,2807,2808,2817,2819,0,0,0,0,0,2821,0,0,0,0,2822,2823,
0,0,0,0,0,0,0,2824,0,0,2828,0,2834,0,0,0,0,0,0,2836,0,2838,0,0,2839,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2841,0,0,0,2842,0,0,0,0,0,2843,2844,
0,0,0,0,2846,0,0,2847,0,2849,0,2853,0,0,0,0,0,2857,0,0,0,0,2858,0,2859,
0,0,2860,0,2862,2868,0,0,0,0,2875,0,2876,0,0,2877,2878,2884,2889,2890,0,0,
2891,0,0,2892,0,0,0,2906,2912,0,2913,0,0,0,0,0,0,0,0,2916,0,2934,0,0,0,
0,0,2935,0,0,0,0,2939,0,2940,0,0,0,0,0,0,0,2941,0,0,0,2946,0,2949,0,0,
2950,2954,2955,0,0,0,2959,2961,0,0,2962,0,2963,0,0,0,0,0,0,2964,2965,2966,
2967,0,0,0,0,0,0,0,2969,0,0,0,0,0,2970,2975,0,2982,2983,2984,0,0,0,0,0,
2989,0,0,2990,0,0,0,0,0,0,0,2991,0,0,0,0,0,0,0,0,2998,0,3000,3001,0,0,
3002,0,0,0,3003,0,0,3012,0,0,3022,0,0,3024,0,0,3025,3027,0,0,0,3030,0,0,
0,0,3034,3035,0,0,3036,0,3039,0,3049,0,0,3050,0,0,0,0,0,0,3051,0,3053,0,
0,0,0,3057,0,3058,0,0,0,0,0,0,0,0,3063,0,0,3073,3074,3078,3079,0,3080,
3086,0,0,0,0,0,0,0,0,3087,0,3092,0,3095,0,3099,0,0,0,3100,0,3101,3102,0,
3122,0,0,0,3124,0,3125,0,0,0,0,0,0,3132,3134,0,0,3136,0,0,0,0,0,0,0,
3147,0,0,3149,0,0,0,0,0,3150,3151,3152,0,0,0,0,3158,0,0,3160,0,0,3161,0,
0,3162,0,3163,3166,3168,0,0,3169,3170,0,0,3171,0,0,0,0,0,0,0,3182,0,3184,
0,0,3188,0,0,3194,0,0,0,0,0,0,3204,0,0,0,0,3209,0,0,0,0,0,0,0,0,0,0,
0,3216,3217,0,0,0,0,0,0,0,3219,0,0,3220,3222,0,3223,0,0,0,0,3224,0,3225,
3226,0,3228,3233,0,3239,3241,3242,0,0,3251,3252,3253,3255,0,0,0,0,0,0,0,0,
3260,0,0,3261,0,0,0,3267,0,0,0,0,0,0,0,0,3271,0,0,0,3278,0,3282,0,0,0,
3284,0,0,0,3285,3286,0,0,0,0,0,0,0,3287,3292,0,0,0,0,3294,3296,0,0,3299,
3300,3301,0,3302,0,0,0,0,0,3304,3306,0,0,0,0,0,0,3308,0,0,0,0,0,0,0,0,
0,3311,0,0,0,0,0,0,0,0,3312,3314,3315,0,3318,0,0,0,0,0,0,0,0,3319,0,0,
0,0,0,3321,0,0,0,0,0,0,0,0,0,3322,0,0,3324,3325,0,0,3326,0,0,3328,3329,
3331,0,0,3335,0,0,3337,0,3338,0,0,0,0,3343,3347,0,0,0,3348,0,0,3351,0,0,
0,0,0,0,3354,0,0,0,0,0,0,0,0,0,0,3355,0,0,3365,3366,3367,0,0,0,0,0,0,
3368,3369,0,3370,0,0,3373,0,0,3376,0,0,3377,0,3379,3387,0,0,0,0,0,3390,0,
0,0,0,0,0,0,3402,0,3403,3436,3437,3439,0,0,3441,0,0,0,3442,0,0,3449,0,0,
0,3450,0,0,0,0,0,0,0,3451,0,0,3452,0,3453,3456,0,3457,0,0,3458,0,3459,0,
0,0,0,0,0,0,0,0,3460,0,0,3469,3470,0,0,3475,0,0,0,3480,3487,3489,0,3490,
0,0,3491,3499,0,3500,0,0,3501,0,0,0,3502,0,3514,0,0,0,3516,3517,0,0,0,
3518,0,0,0,0,3520,3521,3522,0,0,3526,3530,0,0,0,0,3531,0,0,0,0,3536,0,0,
0,0,0,0,0,3539,3541,0,0,3542,3544,0,3547,3548,0,0,3550,0,3553,0,0,0,0,0,
0,0,3554,0,3555,0,3558,0,3559,0,0,0,0,0,0,0,0,3563,0,3581,0,0,0,3599,0,
0,0,3600,0,3601,0,3602,3603,0,0,3606,3608,0,3610,3611,0,0,0,0,0,0,0,0,0,
3612,3616,3619,0,0,0,0,0,0,0,0,0,0,0,0,0,3624,3628,0,3629,3634,3635,0,0,
0,0,0,0,3636,0,3637,0,0,3638,3651,0,0,0,0,0,0,3652,3653,0,0,0,0,3656,
3657,0,0,0,0,0,3658,0,0,0,0,3659,0,3661,3663,3664,0,3665,0,3692,0,0,0,
3694,3696,0,0,0,0,0,0,0,0,0,0,0,0,3698,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,3700,0,0,3701,0,0,0,3708,3709,0,0,0,3711,3712,0,0,0,0,0,3723,0,3724,
3725,0,0,3726,0,0,0,0,0,0,3728,3729,0,3734,3735,3737,0,0,0,3743,0,3745,0,
0,3746,0,0,3747,3748,0,3757,0,3759,3766,3767,0,3768,0,0,0,0,3769,0,0,3771,
0,3774,0,0,0,0,0,0,3775,0,0,0,0,0,0,3776,0,3777,3786,0,3788,3789,0,0,0,
0,0,0,0,0,0,3791,0,3811,0,0,0,0,0,3814,3815,3816,3820,0,0,0,0,0,0,0,
3821,0,0,3825,0,0,0,0,3835,0,0,3848,3849,0,0,0,0,3850,3851,3853,0,0,0,0,
3859,0,3860,3862,0,0,0,0,0,3863,0,0,0,0,0,0,0,0,3873,0,3874,0,3875,3886,
0,3887,0,0,0,0,3892,3913,0,3914,0,0,0,3925,3931,0,0,0,0,3934,3941,3942,0,
0,0,0,3943,0,0,0,3944,0,0,0,0,0,3945,0,3947,0,0,0,3956,3957,0,0,0,0,0,
0,0,0,0,3958,0,3959,3965,0,0,0,0,3966,0,0,0,3967,0,0,0,3968,3974,0,0,0,
0,0,3975,3977,3978,0,0,0,0,3980,0,3985,0,0,0,0,0,0,0,0,3986,4011,0,0,
4017,0,0,0,0,0,0,0,0,0,0,0,4018,0,0,0,0,4019,0,4023,0,0,0,4027,4028,0,
0,0,0,0,0,0,0,4031,4034,0,0,4035,4037,4039,4040,0,0,0,0,0,4059,0,4060,
4061,0,4062,4063,4066,0,0,4072,0,0,0,0,0,0,0,0,0,0,0,0,0,4088,0,0,0,0,
0,4091,0,0,0,0,4094,4095,0,0,4096,0,0,0,0,0,4098,4099,0,0,0,4101,0,4104,
0,0,0,4105,4108,0,4113,0,0,4115,4116,0,4126,0,0,4127,0,0,0,0,0,0,0,4128,
4132,4133,0,4134,0,0,0,4137,0,0,4141,0,0,0,0,4144,4146,4147,0,0,0,0,4148,
0,0,4311,0,0,0,4314,4329,0,4331,4332,0,4333,0,4334,0,0,0,4335,0,4336,0,0,
0,4337,0,0,0,4342,4345,4346,4350,0,4351,4352,0,4354,4355,0,0,4364,0,0,0,0,
4369,0,0,0,4373,0,4374,0,0,0,0,4377,0,0,0,0,4378,0,0,0,4380,0,0,0,4381,
4382,0,0,0,0,0,0,0,4384,0,0,0,0,4385,0,0,0,4386,0,0,0,4391,4398,0,0,0,
0,4407,4409,0,0,0,0,4410,0,0,4411,0,4414,4415,4418,0,4427,4428,4430,0,4431,
0,4448,0,0,0,0,0,4449,0,0,0,4451,4452,0,4453,4454,0,4456,0,0,0,0,0,0,0,
4459,0,4463,0,0,0,0,0,4466,0,4467,0,4469,0,0,0,0,0,0,0,0,0,0,0,0,0,
4470,4471,0,4473,0,0,4475,0,0,0,0,4477,4478,0,0,0,4479,4481,0,4482,0,4484,
0,0,0,0,0,0,0,4486,0,0,4488,0,0,4497,0,4508,0,0,4510,4511,0,4520,4523,0,
4524,0,4525,0,4527,0,0,4528,0,0,0,0,4530,0,4531,0,0,4532,0,0,0,4533,0,0,
0,0,0,4535,0,0,0,4536,0,0,0,0,0,4541,4543,4544,4545,4547,0,4548,0,0,0,0,
4550,4551,0,4553,0,0,0,0,4562,0,0,4571,0,0,0,4574,0,0,0,4575,0,4576,0,
4577,0,0,0,4581,0,0,0,0,0,4582,0,0,4586,0,0,0,4588,0,0,4597,0,4598,0,0,
0,0,4616,4617,0,4618,0,0,0,0,4619,0,4620,0,0,4621,0,4624,0,0,0,0,0,4625,
0,0,0,0,4657,0,4659,0,4667,0,0,0,4668,4670,0,4672,0,0,0,0,0,4673,4676,0,
0,0,0,4687,0,0,0,0,4697,0,0,0,0,4699,0,4701,0,0,0,0,4702,0,0,4706,0,0,
4713,0,0,0,4714,4715,4716,0,0,0,0,0,0,0,0,0,0,0,0,4717,0,0,4720,0,4721,
4729,4735,0,0,0,4737,0,0,0,4739,0,0,0,4740,0,0,0,4741,0,0,0,0,0,4742,0,
4745,4746,4747,0,0,0,0,0,0,0,0,4748,0,0,0,4749,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,4751,4786,0,4787,0,4788,4796,0,0,4797,4798,0,4799,
4806,4807,0,0,0,0,4809,4810,0,0,0,0,0,0,4811,0,0,0,0,0,4812,0,4813,0,0,
4815,0,4821,4822,0,0,0,0,4823,0,0,0,0,0,0,0,0,0,0,4824,0,0,0,0,4826,0,
0,0,4828,0,4829,0,0,0,4843,0,0,4847,0,4853,4855,4858,0,0,0,0,0,4859,0,
4864,0,0,4879,0,0,0,0,4880,0,0,0,0,4881,0,4882,0,0,0,0,0,0,0,0,0,4883,
0,0,0,0,4884,0,0,0,0,0,4886,4887,4888,4894,4896,0,4902,0,0,4905,0,0,4915,
0,0,0,0,0,0,0,4916,4917,4919,4921,0,0,0,0,0,4926,0,0,0,0,4927,0,0,0,0,
0,0,0,0,4929,0,4930,4931,0,4938,0,4952,0,4953,4957,4960,4964,0,0,0,0,0,0,
0,5019,5020,5022,0,0,0,0,0,5023,0,0,0,5024,0,0,0,5025,0,0,0,0,5028,0,0,
0,0,5029,5030,5031,0,5033,0,0,0,0,0,0,0,0,0,5034,5035,0,5036,0,0,5037,0,
0,0,0,5038,0,0,5039,0,0,0,5041,5042,0,0,0,0,5044,5049,5054,0,5055,0,5057,
0,0,0,5060,0,0,0,0,0,5063,0,5064,5065,0,5067,0,0,0,5068,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,5076,0,0,0,0,0,0,0,5077,0,0,5078,5080,0,0,
5083,0,0,0,0,0,0,0,0,5085,0,0,0,0,0,0,5098,5099,5101,5105,5107,0,5108,0,
5109,0,0,0,0,0,0,0,5110,0,0,0,0,0,5117,5118,0,5121,0,5122,0,0,5130,0,0,
0,5137,0,0,0,5148,0,0,0,0,0,0,0,5151,5154,0,0,0,5155,0,0,5156,5159,5161,
0,0,0,0,5162,0,0,0,0,5163,5164,0,5166,0,0,0,0,0,0,0,0,0,0,5167,0,0,0,
5172,0,0,0,0,0,0,5178,5179,0,0,5190,0,0,5191,5192,5194,0,0,5198,5201,0,0,
0,0,0,5203,0,5206,5209,0,0,0,0,0,0,5213,0,5214,5216,0,0,0,0,0,5217,0,0,
0,0,0,0,0,0,5218,5219,0,5231,0,0,5244,5249,0,5254,0,5255,0,0,5257,0,0,0,
0,0,5258,0,5260,5270,0,5277,0,0,0,0,0,0,5280,5281,5282,5283,0,0,0,0,0,
5284,0,5285,0,0,0,0,0,5287,5288,0,0,0,0,0,0,0,0,0,0,5289,5291,0,0,5294,
0,0,5295,0,0,0,0,0,0,0,5304,0,0,5306,5307,5308,0,5309,0,0,5310,0,0,0,0,
5311,5312,0,5313,0,0,0,0,0,5316,0,0,0,5317,0,0,0,0,0,0,0,0,0,5325,0,0,
0,0,0,0,5326,0,5327,5329,0,5332,0,0,0,0,5338,0,0,0,0,0,0,0,0,5340,0,0,
5341,0,0,0,5342,0,5343,5344,0,0,5345,0,0,0,0,0,0,5347,5348,0,0,0,0,0,0,
0,0,0,5349,0,5350,0,5354,0,0,0,0,5358,0,0,5359,0,0,5361,0,0,5365,0,5367,
0,5373,0,0,0,5379,0,0,0,5380,0,0,0,5382,0,5384,0,0,0,0,0,0,5385,0,0,0,
0,5387,0,0,0,0,0,0,5388,5390,5393,0,0,0,0,0,0,0,0,0,0,0,5396,0,0,0,0,
5397,5402,0,0,0,0,0,5403,0,0,0,5404,5405,0,0,0,0,0,0,0,0,0,0,0,0,5406,
0,0,0,0,5410,0,0,5411,0,5415,0,0,0,0,5416,5434,0,0,0,0,0,0,0,0,0,0,0,
5438,0,5440,0,0,0,0,0,0,5441,5442,0,0,0,5443,5444,5447,0,0,5448,5449,5451,
0,0,0,5456,5457,0,0,0,5459,0,0,0,5461,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
5464,0,5466,0,0,5467,0,5470,0,0,5473,0,0,5474,0,0,5476,0,0,0,0,0,0,0,0,
0,0,0,5477,0,0,0,0,0,0,0,5484,0,0,5485,5486,0,0,0,0,0,5488,0,0,0,0,0,
0,0,5489,0,0,0,0,0,5507,0,0,0,5510,0,5511,0,0,5512,0,0,0,5513,0,5515,0,
0,5516,5517,0,5518,0,0,5522,0,0,0,0,0,5534,5535,0,0,5536,0,5538,0,0,5543,
0,5544,0,0,5545,0,5547,0,5557,0,0,5558,0,5560,5567,0,0,0,0,5568,0,0,0,
5571,5573,0,5574,0,5575,0,0,0,0,5577,0,0,5598,0,0,0,0,0,0,0,0,0,5600,
5609,0,0,0,0,5610,0,0,5612,0,5624,0,5625,0,0,0,5629,0,5641,0,5642,5643,0,
0,0,0,0,0,5651,0,0,0,5652,5653,0,5661,5662,5678,0,5679,0,0,0,0,5685,5686,
0,0,0,0,0,5690,5692,0,5703,0,0,0,0,0,5706,0,0,0,0,5707,0,0,0,0,0,0,
5708,0,0,5709,0,5710,0,0,0,5712,0,5733,0,5734,5735,0,0,5744,5751,0,0,0,0,
0,0,0,0,0,0,0,0,5752,0,5754,0,0,0,0,0,0,5757,5758,0,5760,5761,0,0,0,0,
5763,5764,5765,0,5766,0,5767,5768,0,5770,0,0,0,0,5776,5780,0,0,0,0,5782,0,
0,0,0,5784,0,0,5788,0,0,0,0,0,0,0,0,0,0,0,5797,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,5799,0,0,5801,0,0,0,5811,0,0,0,0,0,0,5816,0,0,5827,0,0,0,0,
0,0,0,0,5830,5831,0,0,5832,0,0,5833,0,5835,5844,5845,0,5846,0,0,0,0,0,
5850,0,0,0,0,0,5852,0,5855,5857,0,0,5859,0,5861,0,0,5863,0,5865,0,0,0,
5873,5875,0,0,0,5877,0,5879,0,0,0,5888,0,0,5889,5891,0,5894,0,0,0,0,0,0,
5895,0,5897,0,0,0,0,0,0,5907,0,5911,0,0,5912,0,5913,5922,5924,0,5927,5928,
0,0,0,0,5929,5930,0,5933,0,0,0,0,5949,0,0,5951,0,0,0,0,0,0,0,0,5953,0,
0,5954,0,5959,5960,5961,0,5964,0,0,0,5976,5978,5987,5990,0,0,0,0,0,5991,0,
5992,0,0,0,5994,5995,0,0,5996,0,0,6001,6003,0,0,0,0,6007,0,0,0,0,0,6008,
0,0,6009,0,6010,0,0,0,6011,6015,0,6017,0,6019,0,6023,0,0,0,0,0,0,0,6025,
0,0,0,0,0,0,0,0,0,0,6026,0,6030,0,0,6032,0,0,0,6033,6038,6040,0,0,0,
6041,6045,0,0,6046,0,0,6053,0,0,6054,0,6055,0,0,0,0,0,0,6057,0,6063,0,0,
0,6064,0,6066,6071,6072,0,0,0,0,0,0,6075,6076,0,0,6077,0,0,0,0,0,0,0,0,
0,6078,6079,0,0,0,0,0,0,0,0,6080,0,6083,0,0,0,0,0,6084,0,0,6088,0,6089,
0,0,6093,6105,0,0,6107,0,6110,0,0,0,6111,6125,6126,0,0,0,6129,0,0,0,0,
6130,0,0,0,6131,6134,0,0,0,0,0,0,6142,0,0,0,0,0,6144,0,0,6146,6151,6153,
0,6156,0,6163,0,6180,6181,0,0,0,0,0,6182,0,0,0,0,6184,6195,0,0,6206,0,
6208,0,0,6212,6213,6214,0,6215,0,0,0,6228,0,0,0,6234,0,0,0,0,0,0,6235,
6240,0,6242,6243,6244,0,6250,6255,0,0,0,0,0,6257,0,0,0,6258,6278,0,6284,0,
0,0,6285,0,0,0,0,0,0,0,0,6286,0,0,0,6320,0,0,6322,6332,0,0,0,0,0,0,0,
0,6334,0,0,0,0,0,0,0,6335,0,0,6337,0,6338,0,6339,6340,0,0,6356,6357,6369,
0,0,0,6370,6371,6372,0,6373,0,0,0,0,0,6376,0,0,0,0,0,6382,6383,6384,0,0,
0,0,6386,0,6389,6397,6400,6411,0,6414,0,0,0,0,0,0,0,6415,6416,0,0,0,0,0,
0,6417,0,0,0,0,6418,0,0,0,0,0,0,0,6420,0,6421,6423,6425,0,6429,6430,0,
6433,6438,0,0,0,0,0,0,0,0,0,0,6439,6440,0,0,6441,0,0,6444,0,0,0,0,6446,
0,0,0,0,6447,6448,0,0,6450,0,0,0,6454,0,0,6455,0,6461,0,0,0,0,0,0,6462,
0,0,6463,0,6464,0,6465,6467,0,0,0,6468,0,6479,6480,0,0,0,0,0,0,0,6481,0,
0,6485,6487,0,0,0,0,0,0,6493,0,0,0,0,0,0,0,0,6494,6495,6496,0,0,0,0,0,
6498,0,0,0,6507,6508,0,0,0,0,0,0,0,0,0,0,6511,6512,0,0,0,0,6513,0,0,0,
6514,0,0,0,0,0,6516,0,0,6517,6518,0,0,0,6519,6520,6521,0,6523,0,0,0,0,
6524,6528,0,6530,0,0,6532,0,6578,0,0,0,6583,0,6584,0,0,0,6587,0,0,0,6590,
0,6591,0,0,0,0,0,6592,0,0,0,0,6593,6594,0,0,0,0,0,6599,6600,0,0,6601,
6602,6604,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6608,0,0,0,0,0,0,0,0,6610,6611,
0,6615,0,6616,6618,6620,0,6637,0,0,0,0,6639,0,0,0,0,6641,0,6642,0,0,0,
6647,0,6660,6663,0,6664,0,6666,6669,0,6675,6676,6677,0,0,0,0,0,0,0,0,0,
6678,0,0,0,6679,0,6680,0,0,0,0,0,0,0,6693,0,0,0,0,0,0,0,0,0,6704,6705,
6706,0,0,6711,6713,0,0,0,0,0,6716,0,0,0,6717,0,6719,6724,0,0,0,0,0,0,0,
0,6725,6726,0,0,0,0,0,6728,6729,6735,0,6737,6742,0,0,6743,6750,0,6751,0,0,
6752,6753,0,0,0,0,0,0,6754,0,0,0,0,0,6756,0,0,0,0,0,0,6763,0,0,6764,
6765,0,0,0,6770,0,0,0,6776,6780,0,6781,0,0,0,6783,0,6784,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,6785,0,0,0,6792,0,0,0,6793,0,0,6802,0,0,0,0,
0,6803,0,0,0,6804,0,0,0,6812,0,0,6823,0,6824,6839,0,0,0,0,6852,0,0,6854,
0,6856,6857,0,0,0,0,0,0,0,0,0,6867,0,6868,6870,6872,0,0,0,6873,6874,0,0,
0,0,0,6875,0,0,6877,0,0,0,0,0,0,0,6878,0,0,0,6879,0,6880,0,0,0,0,0,0,
0,0,0,0,6887,0,6888,6891,6893,0,6895,0,0,0,0,0,0,0,0,6899,0,0,0,0,6901,
0,0,0,0,6910,0,6911,0,0,6912,0,0,6913,6914,0,0,0,6915,0,0,0,6916,6919,0,
0,0,0,0,0,6924,0,6925,0,0,0,6926,6927,6928,0,6929,0,6930,0,0,6931,6935,0,
6936,0,0,0,0,6939,6940,6941,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6942,6948,
6949,0,0,0,0,0,0,0,6952,6954,6963,6965,6966,0,0,6967,6968,0,0,0,0,0,0,0,
0,0,6969,0,0,6970,6979,0,0,6980,0,0,6983,0,0,0,0,0,6984,0,0,0,0,0,0,0,
6988,6990,6992,0,0,0,0,0,0,0,6995,0,0,0,7012,0,0,0,0,0,0,0,0,0,7019,0,
0,0,0,0,0,0,0,7021,0,0,7022,7023,7028,0,7030,7033,0,0,0,0,0,0,7038,0,0,
0,0,0,0,0,0,0,0,7039,0,0,0,0,0,7046,0,7047,0,0,0,0,0,0,0,0,0,0,0,
7048,7052,0,0,0,0,0,7054,0,7060,0,0,0,0,7061,0,7065,0,0,0,0,7067,7069,0,
7070,7071,7072,0,0,7078,0,7080,7081,0,7083,0,0,0,7084,7087,7088,0,0,7090,0,
7093,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7107,0,0,7108,0,0,0,0,0,0,0,0,
7110,0,7114,0,0,0,0,0,0,0,7115,0,7116,0,0,0,0,0,7117,0,0,7118,0,0,7124,
0,7125,0,0,7126,0,0,0,0,7128,0,0,0,0,0,7129,0,7130,0,7132,7133,0,0,7134,
0,0,7139,0,7148,7150,0,0,0,0,7152,0,0,0,7153,7156,7157,0,0,0,0,0,7158,0,
0,0,0,0,0,0,0,0,0,7163,7165,7169,0,7171,0,0,0,0,0,0,0,0,0,7172,0,7173,
7181,0,0,0,0,0,7182,7185,0,0,0,0,7187,0,7201,7204,0,0,0,0,0,7206,7207,0,
0,0,0,7211,7216,0,7218,0,0,0,0,7226,7228,7230,7232,7233,7235,7237,0,0,0,0,
7238,7241,0,7242,0,0,7247,0,0,0,7266,0,0,0,0,0,0,0,7289,0,0,7290,7291,0,
0,7292,0,7297,0,0,0,0,0,0,0,0,0,0,7300,0,7301,0,0,0,0,0,0,0,0,0,0,0,
0,7302,0,0,0,0,7305,0,0,0,0,7307,0,7308,0,7310,0,7335,0,0,0,0,0,0,0,
7337,0,7343,7347,0,0,0,0,0,7348,0,7349,7350,7352,7354,0,0,0,0,7357,0,7358,
7366,0,7367,7368,0,0,7373,0,0,0,7374,0,0,0,0,0,0,0,7376,0,0,0,7377,0,0,
0,0,0,7378,0,7379,7380,0,0,0,0,0,7383,0,0,7386,0,0,0,0,7398,0,0,0,7399,
7400,0,7401,0,0,0,0,0,0,0,7402,0,0,0,0,0,7405,0,0,0,0,0,7406,0,0,0,0,
0,0,0,0,7421,7427,7429,0,0,0,7435,0,0,7436,0,0,0,7437,0,0,0,0,0,0,7438,
7443,0,7446,0,7448,0,0,0,0,0,0,0,0,0,0,7456,0,0,0,0,0,7457,0,0,7461,0,
0,0,0,0,7462,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7463,7466,7472,0,7476,0,0,
7490,0,7491,0,0,7493,0,0,0,7498,7499,0,0,7508,0,0,0,0,0,7512,0,0,0,7513,
7514,7516,0,0,0,0,7518,0,0,7519,7521,7522,0,0,0,7526,0,0,7529,0,0,7531,0,
7536,0,7538,0,7539,0,0,7541,7542,7546,0,0,0,0,0,7547,0,7548,0,0,0,0,0,
7550,0,0,7552,7553,0,0,0,0,0,0,0,0,0,0,7554,7563,0,7573,0,0,0,0,0,0,
7574,7576,0,7578,7581,7583,0,0,0,7584,0,7587,0,0,0,0,0,7589,0,0,0,7594,0,
0,7595,0,0,7600,7602,7610,0,0,0,0,0,7612,0,7613,7614,0,0,7615,0,0,7616,0,
7620,0,7621,7622,0,7623,0,0,0,0,7626,0,0,0,0,7627,7629,7631,0,0,7633,0,0,
0,0,0,7639,0,7640,7642,0,0,7643,0,0,0,0,7644,0,0,0,0,0,0,0,7645,0,0,0,
0,0,7661,7662,7663,7665,0,7666,0,7667,0,7684,7688,7690,0,7691,0,0,0,0,0,0,
7692,0,0,7700,0,7707,0,7708,0,7709,0,7721,0,0,0,7722,0,7724,0,0,0,0,0,0,
7729,7731,0,7732,0,7733,7735,0,0,0,0,0,0,0,7739,0,0,7741,7745,0,7748,0,0,
0,7751,0,0,0,7752,0,0,0,0,0,0,0,7753,0,0,7756,0,7757,0,7759,0,7760,0,0,
0,0,7761,7768,0,0,7769,0,0,7770,0,0,7771,0,0,7772,0,0,7773,0,0,0,0,0,
7778,7783,0,0,0,0,0,7784,7785,0,7790,0,0,0,0,7792,0,7798,0,0,0,0,0,7799,
0,7810,0,0,7813,0,7814,0,7816,0,7818,7824,7825,7826,0,7828,7830,0,0,0,7840,
0,7842,0,7843,0,0,0,0,7844,0,0,0,0,0,0,0,7846,0,0,0,0,0,7856,7857,7858,
7862,0,7865,0,0,7866,0,0,7913,0,0,0,0,7914,0,0,7915,7917,7918,7919,0,7920,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7921,7922,0,7924,0,0,7925,0,0,7927,0,
7930,7935,0,0,7937,0,0,0,0,0,0,7939,0,7940,0,0,0,0,0,7941,0,0,0,0,7945,
0,0,0,0,7949,0,0,0,0,0,0,0,0,7950,0,7953,0,0,0,0,0,0,0,7968,0,0,0,0,
7969,7972,7992,0,7993,0,0,0,0,0,0,0,0,0,0,0,7994,0,0,0,0,8007,8008,0,0,
0,0,0,0,0,0,0,0,0,0,8010,0,0,0,8012,0,0,0,0,0,0,0,0,8018,0,8028,8029,
0,0,8030,0,0,8032,8033,0,0,8034,8036,0,0,0,0,0,0,0,0,0,0,8037,0,0,0,
8043,8052,8059,8060,0,0,8061,0,0,0,8062,0,8063,0,8064,0,8066,8068,0,0,0,
8080,8081,0,8089,0,0,0,0,0,8092,0,0,0,0,0,0,8093,8110,0,0,0,0,0,0,0,
8111,0,0,0,0,0,8112,8115,0,8117,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8120,
8121,8122,8128,8129,8130,8131,0,0,8139,0,0,8144,0,0,0,0,8145,8146,8153,0,0,
0,0,0,0,0,0,8154,0,8157,8160,8162,0,8164,8165,0,0,0,0,8166,8167,0,0,8179,
0,0,0,8185,0,0,0,8186,0,0,8187,0,0,0,8188,0,0,0,0,0,8204,0,0,0,0,8210,
0,0,0,0,0,8213,0,8214,0,0,8215,0,0,0,0,0,0,8218,0,0,0,0,0,0,0,0,0,
8219,0,8221,0,0,8222,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8225,0,0,0,8233,
0,0,8242,0,0,0,0,0,0,0,0,0,0,0,8247,0,8248,8252,0,8256,8257,0,0,8261,0,
8264,8265,0,0,0,0,8267,0,0,0,8269,0,0,0,0,0,0,0,0,0,8270,0,0,0,8278,0,
8279,8283,0,0,8285,8286,8289,8292,0,0,0,0,8293,8295,8299,8300,8301,0,0,0,0,
0,0,8304,8307,0,0,0,0,0,0,0,8321,0,0,0,8322,8323,8325,8326,8327,0,0,8332,
8338,0,0,8340,0,0,0,0,0,8350,0,0,8351,0,8354,8355,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,8360,8372,0,0,0,0,0,0,0,0,8377,0,0,0,0,8380,0,0,0,8383,0,8384,
0,0,0,0,8386,8392,0,0,8394,0,0,0,0,0,0,0,8396,8397,0,8398,0,8399,0,0,0,
0,0,8400,0,8401,8410,8411,0,8412,8413,8422,0,0,0,0,8423,0,0,0,0,8424,0,0,
8425,0,0,0,0,0,0,0,8441,8442,0,0,0,0,0,0,8443,0,0,8444,0,8447,0,0,0,0,
8451,0,8458,0,8462,0,0,8468,0,8469,0,0,0,8470,0,8473,8479,8480,0,0,0,0,
8481,8483,0,0,0,0,0,0,0,0,0,8484,0,0,8490,0,0,0,0,0,0,8491,8493,8494,0,
8528,0,0,0,0,0,0,0,8530,0,0,0,0,0,0,0,0,8534,8538,8540,0,0,8541,0,0,
8545,0,8557,0,0,8569,8570,0,0,8571,8574,8575,8579,0,8583,0,0,0,0,8591,0,0,
0,0,0,0,0,0,8606,0,8607,0,0,0,0,0,0,0,0,0,8608,0,0,8609,0,0,0,8610,0,
0,0,8611,0,0,8613,8617,8621,0,0,8622,0,8623,0,8624,8625,0,0,0,0,0,0,0,0,
0,8637,8638,8639,8650,0,0,0,0,8652,8654,8655,0,0,0,0,0,0,0,0,0,0,8656,0,
0,0,0,0,8657,0,0,0,0,0,0,0,0,0,8658,0,0,8659,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,8660,0,0,0,0,0,0,8661,8663,8664,0,0,0,0,8665,0,8669,
0,0,0,0,0,0,0,8671,8674,0,8684,0,8686,0,0,0,8689,0,0,0,8690,0,8706,0,0,
0,0,0,0,0,0,0,0,0,8710,0,8711,8713,8714,8724,8727,8728,8733,8736,0,8737,
8739,0,0,0,0,8742,8743,8745,8754,0,0,0,0,8756,0,0,0,0,0,0,8757,8760,0,0,
0,0,0,8762,8763,8764,0,8766,8769,8770,8773,0,8774,0,8779,0,0,0,0,8780,0,0,
8781,0,0,8783,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8784,0,0,
0,0,0,0,0,0,8785,0,0,0,0,8786,0,0,0,0,8788,8790,0,0,0,8803,0,8813,8814,
0,0,0,0,0,8815,8816,0,0,0,0,8818,0,0,0,0,8822,8828,8829,0,8831,0,0,0,0,
8833,0,0,0,8834,0,0,0,8835,0,8836,0,0,0,8837,0,0,0,0,0,0,8838,8839,0,0,
0,0,0,0,0,0,0,0,0,8840,0,0,0,8841,0,8842,0,0,0,8846,0,0,0,0,0,0,0,
8847,0,8848,0,0,8864,0,0,8866,0,0,8870,8872,0,0,8873,8874,0,0,0,0,0,0,
8875,0,8876,0,0,0,0,8896,8900,0,0,0,0,8901,0,0,0,0,0,8904,0,8907,0,0,0,
0,8911,8912,8913,0,0,0,8914,0,8915,0,0,0,0,0,0,0,0,0,0,0,0,8916,0,0,0,
8929,0,0,0,0,0,0,0,0,0,0,8930,0,8932,0,8943,0,0,0,8945,8947,0,0,0,0,
8949,0,8950,0,8954,8957,0,0,8970,0,0,0,0,8971,0,8996,0,0,0,0,8997,9000,0,
0,0,0,9001,9002,0,9004,9009,9024,0,0,0,0,0,0,0,0,0,0,0,0,9027,9082,0,0,
9083,9089,0,0,0,0,0,0,9090,0,0,0,9092,0,0,9093,0,9095,0,0,9096,9097,9101,
9102,0,0,0,0,0,0,0,0,9112,0,0,0,0,0,0,9114,0,0,9120,0,9121,9122,0,0,0,
9123,9124,0,0,9125,0,0,9126,0,9127,0,0,9129,9131,0,0,0,9132,0,0,9136,0,
9144,0,0,9148,0,0,0,0,0,0,9149,0,9152,9163,0,0,9165,0,0,0,0,0,0,0,0,0,
0,0,0,0,9166,0,9169,0,0,0,0,0,0,0,9170,0,0,0,0,9172,0,9174,9175,9176,0,
9177,0,0,0,0,0,0,0,0,9186,0,9187,0,0,0,9188,9189,0,0,9190,0,0,0,0,9191,
0,0,0,9193,0,0,0,0,9197,9198,0,0,0,9208,9211,0,0,0,0,9216,9217,0,9220,0,
0,0,0,9221,9222,9223,0,9224,9225,0,0,9227,0,9228,9229,0,0,9230,0,9232,0,
9233,0,0,0,0,0,9234,9235,0,0,9237,0,0,0,0,0,0,0,0,9238,9240,0,0,9241,0,
0,0,0,9244,0,0,0,0,9247,0,0,0,0,0,0,0,0,0,0,9248,0,0,0,9249,0,0,0,0,
0,9250,0,0,0,0,9251,0,0,9252,9255,0,0,0,9256,0,0,0,0,0,0,0,9257,0,0,
9258,0,0,0,0,0,0,9259,0,0,0,0,0,9262,9263,0,0,9265,9266,0,0,0,0,0,0,0,
0,9268,9271,0,0,0,0,0,0,0,0,0,9273,0,0,0,9276,9277,9279,0,0,0,0,0,0,0,
9280,0,0,9293,0,0,0,0,0,9297,9301,0,0,0,0,0,0,0,0,0,0,0,9308,9309,9313,
9321,9322,0,9326,9327,0,0,9477,0,9479,0,0,0,0,9482,0,0,0,9483,0,9484,0,0,
0,0,0,0,0,0,0,9485,0,0,9486,0,0,0,9489,0,0,0,0,9490,9491,0,0,0,0,9493,
0,9495,9496,0,0,0,0,0,0,0,0,9500,0,9502,0,0,0,0,0,9504,9507,0,9509,0,
9511,0,0,9513,0,0,0,0,0,0,0,0,9515,0,0,0,0,0,0,9516,9517,0,0,0,0,9532,
0,0,9533,0,0,9538,0,9539,9540,0,0,0,0,9541,0,0,0,9542,0,0,0,0,0,0,0,0,
9544,9545,0,9546,0,0,0,0,0,0,9547,9548,0,0,0,9550,0,9557,0,9558,0,9561,0,
9563,9570,0,9572,9574,9575,0,0,0,9577,9592,0,0,9596,0,0,0,9598,0,9600,0,
9601,0,0,0,0,0,0,9608,0,9638,9639,0,0,0,0,0,0,0,9641,0,0,9643,9644,9645,
9646,0,0,0,9648,0,0,0,0,0,0,0,9650,9654,0,0,0,0,0,0,0,0,9655,0,0,0,0,
0,9656,0,9657,0,0,0,0,9658,0,0,9659,0,0,9664,0,0,9665,0,9667,9669,0,0,0,
0,0,0,0,0,0,0,0,0,9671,0,9673,9681,0,0,0,0,9682,9683,9684,0,0,0,0,9686,
9698,0,0,9700,9701,9702,0,9703,9717,0,0,0,0,9718,0,9726,0,0,0,0,9727,0,0,
0,9728,0,9742,0,9744,0,0,0,9750,0,9754,9755,0,0,0,0,0,9756,0,9757,9768,0,
9769,0,0,0,9770,9771,0,9773,0,9774,0,9775,0,0,0,9776,9777,9784,0,0,0,9786,
0,9789,0,0,0,0,9793,9794,0,0,0,9808,0,0,0,0,0,9811,0,0,0,0,0,0,0,0,0,
0,0,0,9812,0,9820,0,9823,0,9828,0,0,0,0,9830,0,0,9833,9836,0,0,0,9840,0,
0,0,9841,0,0,9842,0,9845,0,0,0,9847,9848,0,0,9855,0,0,0,0,0,0,9856,9863,
9865,0,0,0,0,0,0,0,0,9866,9867,9868,9873,9875,0,0,0,0,0,0,9880,0,9886,0,
0,0,9887,0,0,9891,0,0,0,0,0,0,0,9906,9907,9908,0,0,0,9909,0,0,0,0,0,0,
9910,0,0,0,0,9913,0,0,0,0,9914,0,0,0,0,0,9922,0,0,0,0,9923,9925,0,0,0,
0,0,0,9930,0,0,0,9931,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9932,0,9939,0,0,
9940,9962,9966,0,9969,9970,0,0,9974,0,9979,9981,9982,0,0,0,9985,0,0,0,0,0,
0,9987,0,0,0,0,0,0,0,9988,9993,0,0,9994,0,0,0,9997,0,10004,0,0,0,0,0,
10007,10019,10020,10022,0,0,0,10031,0,0,0,0,0,10032,0,0,10034,0,10036,0,0,
0,0,10038,0,10039,10040,10041,10042,0,0,0,0,0,10043,0,0,0,0,0,10045,10054,
0,0,0,0,10055,0,0,10057,10058,0,0,0,0,0,0,10059,0,0,0,0,0,0,0,10060,0,
0,0,0,0,0,0,10063,0,10066,0,0,0,10070,0,10072,0,0,10076,10077,0,0,10084,
0,10087,10090,10091,0,0,0,10094,10097,0,0,0,0,0,0,10098,0,0,0,0,0,0,
10103,0,10104,0,10108,0,0,0,0,0,0,0,0,10120,0,0,0,10122,0,0,10125,0,0,0,
0,10127,10128,0,0,10134,0,10135,10136,0,10137,0,0,10147,0,10149,10150,0,0,
10156,0,10158,10159,10160,10168,0,0,10171,0,10173,0,0,0,10176,0,0,0,0,10177,
0,0,0,0,10178,0,0,0,0,10194,0,10202,0,0,10203,10204,0,10205,10206,0,10207,
0,0,0,0,10209,0,0,0,0,0,0,0,10213,0,0,0,0,0,0,10217,0,10229,0,10230,
10231,0,0,10232,0,0,10237,10238,10244,0,0,0,0,0,10250,0,10252,0,0,0,0,0,
0,10255,0,0,10257,0,0,0,0,0,0,10258,0,10259,0,0,0,0,0,0,0,0,10260,0,0,
0,0,0,0,0,10284,10288,10289,0,0,0,10290,0,10296,0,0,0,0,0,10297,0,0,0,0,
0,0,10298,0,0,0,0,10299,10303,0,0,0,0,0,10306,0,0,0,10307,0,10308,0,0,0,
0,10311,0,0,0,0,0,0,0,10315,10317,0,0,0,10318,10319,0,10321,0,10326,0,
10328,0,0,0,0,10329,0,0,10331,0,10332,0,0,0,0,0,0,10334,0,0,10335,10338,
0,0,0,0,0,10339,10349,0,0,0,0,0,0,10351,0,10353,0,0,0,0,0,0,10362,0,
10368,0,10369,0,0,0,10372,10373,0,0,0,0,0,10374,0,0,0,10375,0,10376,0,0,
10386,10388,10390,0,0,0,0,0,0,0,10391,0,0,10392,10394,0,0,10396,0,10397,0,
10403,0,0,0,0,0,0,0,0,10404,0,10405,10410,0,0,10411,0,10412,0,0,0,0,0,0,
0,10421,10422,10423,0,0,0,0,0,0,0,0,0,10425,0,0,10427,0,0,10430,0,0,0,0,
0,10432,0,10433,10434,0,0,0,0,10436,10437,0,10438,0,10439,0,10444,10446,0,0,
0,0,0,10448,0,0,0,0,0,10449,0,0,0,0,0,0,0,10451,0,10453,0,0,0,10454,
10457,0,0,10459,0,10469,0,0,0,0,0,10472,10481,0,0,0,0,0,10482,10483,0,
10492,0,0,0,0,0,0,0,0,0,0,10499,0,0,0,10502,0,0,10510,0,10521,10524,0,0,
10525,10526,10528,0,0,0,0,0,0,0,0,10530,0,0,0,0,10533,0,10534,0,0,0,0,0,
0,0,0,0,0,10535,10536,0,0,10544,0,10553,10556,0,10557,10559,0,0,0,0,0,
10562,10563,10564,0,10565,0,0,0,10566,0,10567,0,0,0,0,10575,0,0,10576,0,
10578,0,0,0,0,0,0,0,0,0,0,10585,10586,10587,10589,0,10590,0,0,10594,0,0,
0,0,0,10598,0,0,10601,0,0,0,10602,0,10603,0,10604,0,10605,0,0,10607,0,
10626,0,10627,0,0,0,0,0,10629,10630,10631,0,0,0,10646,0,0,0,10647,0,10650,
0,10651,0,0,0,10652,10653,10655,0,10658,0,0,10659,0,10667,0,0,0,0,10669,0,
0,0,0,0,0,0,0,0,10670,0,0,0,10671,0,0,0,0,10672,10673,0,10674,0,0,0,
10676,0,0,0,0,0,0,10678,0,10682,0,0,10692,0,10697,0,0,0,0,10698,0,0,0,
10700,0,0,0,0,0,10703,0,10704,0,0,0,0,0,0,0,10705,0,10715,10718,10720,0,
0,10722,0,0,0,0,0,0,0,0,10723,0,0,0,0,10726,0,0,0,0,0,10727,10730,10743,
0,0,0,0,0,0,10744,0,0,10745,0,0,0,0,0,0,10748,0,0,0,0,10750,0,0,10752,
10753,0,0,0,10756,0,0,0,0,0,0,10758,0,0,0,10759,0,10769,0,0,10772,0,0,0,
0,0,0,10773,0,0,0,10777,0,0,10779,0,0,0,0,0,0,0,0,10780,10784,0,0,0,
10789,0,0,0,10791,0,0,0,0,0,0,0,0,0,10795,0,0,10796,0,10808,0,10809,0,0,
0,10810,0,0,0,10812,0,0,10814,0,0,0,0,0,0,0,0,0,10815,0,0,0,0,10816,
10817,0,0,0,0,10819,0,10820,0,0,0,0,10821,10822,10823,0,10826,10849,0,0,0,
0,10850,0,0,10852,0,10853,0,0,10856,0,0,10857,10858,10859,10860,0,0,0,0,0,
0,10863,0,10866,10867,10872,10890,0,0,10891,10892,0,0,0,0,0,10893,0,0,0,
10896,10899,0,0,10900,10902,0,0,0,0,0,10903,0,0,0,0,0,0,0,0,0,0,0,0,
10905,0,10906,0,0,0,0,10908,10911,0,10912,0,0,10916,0,0,0,0,0,10917,0,
10918,0,0,0,10923,0,0,0,0,0,10924,0,0,10928,10929,0,0,10930,0,0,0,10932,
0,0,0,0,10939,0,0,10945,0,0,0,10947,0,0,10948,0,0,0,0,0,0,0,0,0,0,0,
0,10958,0,10960,10962,0,0,10964,0,0,0,10966,0,0,0,0,0,0,0,0,0,0,10967,0,
0,0,10968,0,0,0,10973,0,0,0,0,0,10975,0,0,0,10976,10978,0,0,10982,10984,
10987,0,0,10988,0,10989,0,0,10991,0,0,0,0,10992,0,0,0,10993,0,10995,0,0,
0,10996,10997,0,0,0,10998,0,10999,0,11001,0,0,0,0,0,0,11010,11012,0,11013,
11016,11017,0,0,11019,11020,11021,0,0,0,0,0,0,0,0,0,0,0,0,11022,0,0,
11023,11029,0,0,0,0,11031,0,0,0,11034,0,0,0,0,11055,0,0,0,0,0,11056,
11060,0,0,0,0,0,0,11061,0,0,11064,11065,0,11066,0,11069,0,11085,0,0,0,0,
0,11086,0,0,0,11088,0,0,0,11094,0,0,0,11095,11096,0,0,0,0,0,0,11097,
11098,0,0,0,0,0,0,11099,0,0,11102,11108,0,0,0,11109,0,11114,11119,0,11131,
0,0,0,11142,0,0,11143,0,11146,0,11147,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
11148,0,11149,11152,11153,11154,0,11156,0,11157,0,0,0,11158,0,0,11159,11160,
0,0,0,0,0,0,0,0,0,0,0,0,11163,0,0,11164,11166,0,0,0,11172,11174,0,0,0,
11176,0,0,0,0,0,11182,11183,0,0,0,11184,11187,0,0,11188,11189,0,0,0,0,0,
0,11194,0,0,0,0,0,0,0,11200,11202,0,0,0,0,0,0,11203,0,11204,0,0,0,0,0,
11205,0,0,0,11206,0,11207,0,0,11209,0,11211,0,11214,0,0,11231,0,0,0,11293,
11295,0,0,11296,11297,11302,0,0,0,11307,0,0,0,0,11309,11310,0,11311,0,0,0,
11313,0,11314,0,0,0,0,11334,0,11338,0,0,0,11339,0,0,0,0,0,11340,0,11341,
11342,0,11344,0,11345,0,0,0,11348,11349,0,0,11350,0,0,0,11355,0,0,0,0,0,
0,11356,0,11357,11370,0,0,11371,0,11374,11376,0,0,0,11377,0,0,11378,11383,0,
11386,11399,0,11400,11406,0,0,0,11408,0,0,11409,11412,0,0,0,0,11417,0,0,0,
11418,0,11421,0,11426,11429,0,0,0,0,0,11430,0,11437,0,11438,0,0,0,0,0,
11440,11453,0,0,0,0,0,0,11454,0,0,0,0,11455,0,0,11456,11460,11461,11463,0,
11469,0,11473,0,0,0,0,11474,0,0,0,11475,0,11476,11477,11480,0,0,0,0,11481,
0,0,11484,0,0,11487,0,0,0,0,0,0,0,0,0,0,11497,0,0,11502,0,11509,0,0,
11510,11511,11513,0,0,0,0,0,0,0,0,0,0,11515,0,0,0,0,11516,0,11520,11521,
0,0,0,0,0,0,0,0,0,0,0,11529,11530,11531,11534,0,0,11543,0,0,0,0,0,11547,
0,11548,0,0,0,0,0,11552,11556,0,11557,0,0,11559,0,11560,0,0,0,0,0,0,
11561,0,0,11563,11564,0,11565,0,0,0,0,11567,0,0,0,11569,0,11574,0,11575,0,
0,0,11577,0,11578,0,0,0,11580,11581,0,0,0,11582,11584,0,0,0,0,0,0,0,
11587,0,11588,11591,0,11595,0,0,0,0,0,0,0,0,11596,0,11597,0,0,0,0,11598,
11601,0,0,0,11602,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11603,11604,0,
11606,0,0,11608,0,0,0,0,11610,0,0,11611,0,0,0,0,11613,0,11622,0,0,0,
11623,0,0,0,0,11625,0,0,11626,11627,11628,11630,0,0,0,0,0,0,11639,0,0,
11646,0,11648,11649,0,11650,0,0,0,0,0,0,0,0,0,11651,0,0,11652,11653,11656,
0,0,11677,11679,0,0,0,0,11680,0,0,11681,0,11685,0,0,0,0,0,0,0,0,11688,0,
0,0,11716,0,11719,0,0,0,0,0,11721,0,0,11724,11743,0,0,0,0,0,0,0,0,11745,
11748,11750,0,0,0,0,0,11751,0,0,0,11752,11754,0,11755,0,0,0,0,0,0,0,
11759,0,0,0,0,0,0,11760,0,0,0,11761,0,0,0,0,0,0,11766,11767,0,11772,
11773,0,11774,0,0,11775,0,11777,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,11778,11780,0,0,0,0,0,0,0,11783,0,11784,0,0,0,11785,0,0,0,11786,0,0,0,
0,11788,0,0,11789,11791,11792,0,0,0,0,11795,11834,11835,11836,0,0,11837,0,0,
0,11838,0,0,11846,11851,0,11852,0,11869,0,0,0,11871,0,0,0,11872,11874,0,0,
0,0,0,0,11875,0,11876,11877,0,0,0,0,0,0,0,0,0,0,11883,0,0,0,0,0,0,0,
11884,0,11885,0,11886,0,0,11887,0,11894,11895,11897,11909,11910,0,11912,11918,
0,0,11920,0,11922,11924,11927,11928,0,0,0,0,11929,0,11934,0,0,0,0,0,11941,
11943,11944,0,11945,0,0,0,0,11948,11949,0,0,0,0,11953,0,11954,0,11955,0,
11956,0,0,0,0,0,11957,0,0,11959,0,0,0,0,0,0,0,0,11961,0,0,0,0,0,11978,
0,0,0,11979,11980,11986,11987,0,11992,0,0,0,0,0,11993,0,0,0,11994,0,11999,
12004,12005,12006,0,0,0,0,0,12011,0,0,12012,12014,0,0,12015,0,0,12019,12028,
0,0,12029,0,0,12032,12033,0,0,0,0,12034,0,12041,12043,0,0,12044,0,0,0,0,
0,0,0,12046,0,0,0,0,0,0,0,12054,12055,0,12056,0,0,0,12060,12064,0,0,0,0,
0,12065,12067,12068,0,0,0,0,0,0,0,0,12074,0,0,0,12075,12076,0,0,0,12079,
0,12081,12086,12087,0,0,12088,0,0,0,0,12089,0,12092,0,0,0,0,12097,0,0,0,
0,0,0,0,0,12098,0,0,0,0,0,0,0,0,0,0,0,0,0,12102,12103,12104,12111,0,0,
12114,12116,0,0,0,12118,0,0,0,12119,12120,12128,0,0,0,0,12130,0,0,0,0,0,
0,12131,0,0,0,12132,12134,0,0,0,0,12137,0,12139,0,12141,0,0,12142,0,0,0,
12144,0,0,0,0,0,12145,0,12148,0,12153,0,0,0,0,12154,12171,12173,0,0,0,
12175,0,0,0,0,12178,0,0,0,0,0,0,0,12183,0,0,0,0,0,0,0,0,12184,0,0,0,
12186,0,0,0,0,0,12187,12188,0,0,12189,0,12196,0,12197,0,0,12198,0,12201,0,
0,0,0,12203,0,12209,0,0,0,0,12210,12211,12212,12213,0,12217,12218,0,0,0,0,
0,0,0,0,0,12222,0,0,0,0,0,0,0,12223,0,0,12229,0,0,0,0,12233,0,0,0,0,
12234,0,0,12236,12242,0,0,0,12243,0,0,0,12244,12253,0,12254,12256,0,12257,0,
0,12275,0,0,0,0,0,12277,0,0,0,0,0,12278,0,12289,0,0,12290,0,12292,12293,
0,0,12294,0,12295,0,0,12296,0,12297,0,12298,0,0,0,0,12301,0,0,0,0,0,0,0,
0,0,0,0,0,0,12309,0,12338,12340,0,0,0,0,12341,0,0,0,0,0,0,0,0,12342,
12343,0,12344,0,0,0,0,0,0,0,0,0,12345,0,0,0,0,0,0,0,0,12346,0,0,0,0,
12348,0,0,0,0,0,0,0,0,0,0,0,0,12350,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
12351,0,12355,12356,12357,0,0,12367,12370,12371,0,0,0,0,0,12372,12376,0,0,0,
0,0,0,0,0,12379,0,12382,0,12383,0,0,12384,0,0,0,0,12393,0,0,12394,0,0,0,
0,12398,12403,0,0,12404,0,0,0,0,0,0,0,0,0,0,0,0,0,12410,0,0,0,12411,0,
0,0,12412,0,0,0,0,12420,0,12421,0,0,0,0,0,12423,0,12425,12429,0,0,0,
12431,12432,0,0,0,0,0,0,0,0,0,0,0,0,12434,0,0,0,0,0,12435,12436,0,0,0,
0,0,0,0,0,12437,0,0,0,0,0,12438,0,0,0,0,0,0,0,0,12445,0,0,0,12450,
12451,0,0,0,0,0,0,0,0,12452,12475,0,0,12493,12494,0,0,0,12495,0,0,0,0,
12496,12502,12509,0,0,0,0,12510,0,12512,12513,0,0,0,0,12514,0,0,0,12515,0,
12520,0,0,0,12524,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12527,0,0,0,12528,
0,0,0,12529,0,0,0,0,0,12530,0,12535,0,0,12536,0,12538,0,0,0,0,0,0,0,0,
0,0,0,0,12540,0,12548,0,0,0,0,0,12550,0,0,0,12551,12552,0,0,0,12554,0,0,
0,0,0,0,0,0,12555,0,0,12562,0,12565,0,12566,0,0,0,0,0,0,0,0,0,0,0,0,
12569,0,0,0,12571,12574,0,0,0,0,0,0,0,12577,0,0,0,0,0,0,0,12578,12579,
12603,0,12608,0,0,12611,0,12612,0,12615,0,12625,0,0,0,0,12627,12646,0,12648,
0,0,12657,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12670,0,0,12671,0,12673,12677,0,
0,0,0,0,0,0,0,0,0,0,12679,0,12681,0,12682,12693,0,12694,0,12697,0,12701,
0,0,0,12703,12704,0,0,0,0,12707,12737,0,0,12739,0,0,12740,0,0,12742,12743,
0,0,0,0,0,0,0,0,0,12745,0,12746,12747,0,12748,0,0,12759,12767,0,0,0,0,
12773,0,12774,12778,0,0,0,0,0,0,0,12779,0,0,0,0,0,12780,12793,0,12824,0,
12825,0,12836,0,0,0,0,12839,0,12842,0,0,0,0,0,0,0,0,0,0,0,0,12843,12845,
0,12846,0,0,0,0,12847,0,0,12850,12852,12853,0,0,0,12854,0,0,0,12855,0,
12856,0,12858,0,0,12859,0,12862,0,12863,0,0,12866,0,12869,12872,12873,0,0,0,
0,0,0,0,0,0,12875,0,12877,0,0,12878,0,0,0,0,0,0,0,0,0,12884,12885,12888,
0,12889,0,0,0,0,12893,0,0,0,12895,12896,12898,0,0,0,0,0,0,0,12902,0,
12909,12910,0,12926,0,12928,0,0,0,12929,0,12930,0,0,0,0,12931,0,12932,12933,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12934,0,12942,0,0,0,0,12944,0,0,0,0,
0,0,0,0,12946,0,0,12948,0,0,12949,0,0,0,0,12950,0,0,0,0,12951,0,12952,0,
12953,0,0,0,12954,12958,12959,0,0,0,0,0,12960,12964,0,0,0,0,0,12966,0,0,
0,0,0,0,0,0,12970,0,12971,0,0,0,0,0,0,12972,0,0,12982,0,0,0,12984,12985,
0,12986,12996,12997,13001,13002,0,0,0,0,13004,0,0,13005,0,0,13007,13009,0,
13017,0,0,0,13020,0,13021,0,0,0,0,0,0,0,0,0,0,13022,0,0,0,0,0,0,0,0,
13024,13027,0,0,0,0,0,13028,0,0,13029,0,0,0,0,0,0,0,13032,0,13037,0,0,0,
0,0,0,13040,0,0,13041,0,0,0,13043,13044,13046,0,0,0,0,13047,0,0,0,0,0,0,
0,13049,13054,0,13056,0,0,13060,13061,0,0,0,0,0,13067,0,0,13068,0,13071,0,
0,0,0,0,13077,13078,0,0,0,0,0,13079,13080,13081,0,13082,0,0,0,13085,0,0,
0,0,0,0,0,13086,0,13087,13088,0,0,0,0,0,13094,0,13099,0,13100,0,0,0,
13101,0,13125,13126,13128,13129,0,0,13130,0,13131,0,0,0,0,0,0,13134,0,0,0,
0,0,0,0,0,0,0,0,13150,0,13168,0,0,0,0,0,0,0,0,0,13169,0,0,13170,0,0,
0,0,13174,0,0,0,13176,0,0,0,0,0,13177,0,13178,13183,13187,0,0,0,13189,0,
0,13190,0,0,13191,0,0,13206,0,0,0,13207,0,0,0,0,0,0,0,0,0,0,13212,0,0,
13219,13232,0,0,0,13241,0,13249,13253,0,0,0,0,0,13255,13259,0,13260,13261,0,
13262,0,13272,0,0,0,0,13276,0,0,0,0,13277,13299,0,0,13301,13302,0,0,13303,
0,0,13305,0,13310,0,0,0,13311,0,0,0,0,13325,0,13328,0,0,0,13329,0,0,0,0,
0,0,13330,0,0,13331,0,13335,0,0,13342,0,0,0,0,0,13343,0,13354,0,13362,0,
13366,13367,13369,0,0,13371,13372,0,13373,13374,0,13376,0,13380,13381,13386,0,
13387,13388,0,13389,13391,13395,0,0,0,0,0,13401,13409,0,13410,0,0,0,0,13420,
0,0,0,0,0,13422,0,0,0,0,13423,0,0,0,0,13425,0,0,0,0,0,13427,0,0,0,
13428,0,0,13430,13438,0,13439,0,13445,0,13448,13449,0,0,0,0,0,0,13451,0,
13457,0,0,0,0,13458,13459,0,13460,0,0,0,0,13464,13465,13466,13470,0,13471,
13472,13474,13475,0,13476,0,0,13478,13479,0,13481,0,0,0,0,13487,0,13490,0,
13493,0,0,13494,0,0,13495,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13496,13497,0,
13500,0,0,13516,13522,0,0,13525,13528,0,0,0,13530,13535,0,13537,13539,0,
13540,0,13543,0,13544,0,0,0,0,0,0,13545,0,0,0,0,0,0,13547,0,0,0,13549,
13555,0,0,0,13556,13557,0,0,0,0,0,0,0,13558,0,13563,0,0,0,0,13564,0,0,0,
0,0,0,0,0,13566,0,0,0,0,0,0,13569,0,0,13571,0,0,0,0,13573,0,0,0,0,0,
0,13578,0,0,0,0,0,0,0,0,0,0,13581,0,13586,0,13595,0,13600,0,0,0,0,0,0,
0,0,13601,13603,0,13604,13605,13606,13607,0,0,13617,13618,0,0,0,0,0,0,0,
13623,0,13625,13627,0,0,0,0,0,0,0,0,13629,0,0,0,13634,0,0,0,13638,0,0,0,
0,0,0,0,0,13654,0,0,0,0,0,0,0,0,0,0,13656,0,13659,0,0,13660,0,0,13662,
0,0,0,13663,0,13664,0,0,0,0,0,13668,0,13669,13671,0,0,13672,0,0,0,0,0,0,
13675,13685,0,13686,0,0,0,13687,0,0,0,13692,13694,13697,0,0,0,13702,0,0,0,
0,0,13705,0,0,0,0,13707,0,0,0,13714,0,0,0,0,0,0,0,0,0,13715,0,13716,
13717,0,0,13719,13724,13730,13731,0,0,0,0,0,0,0,0,13732,0,0,0,0,0,0,0,
13734,0,13736,0,0,13737,13738,13747,0,13751,0,0,13752,0,0,0,13753,0,13757,0,
0,13762,13763,0,13764,13765,0,13766,0,0,13767,0,0,0,13768,0,0,0,0,0,0,0,
13769,0,0,13772,0,13775,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13776,
13778,13787,0,0,0,13797,0,13798,0,13801,0,13804,13806,0,0,0,0,13816,13817,0,
0,0,0,0,0,0,0,0,0,0,0,0,13834,0,13836,0,0,13838,0,0,13839,0,13840,0,0,
0,0,13842,0,0,0,0,0,0,13843,0,0,0,0,0,0,0,0,0,13845,0,0,0,0,0,13858,
0,0,13860,0,0,13861,0,0,13862,13863,0,13868,0,13869,13870,0,0,0,0,0,0,0,
0,0,0,13872,0,0,0,0,13873,13878,0,0,0,0,0,0,0,0,0,0,13886,0,13888,13889,
13890,0,0,13891,13894,0,13897,13899,13900,13904,0,0,13906,0,0,0,13909,0,0,0,
13910,0,0,0,13911,0,0,0,0,0,13912,13917,0,0,0,0,13918,0,13919,0,0,13920,
0,0,0,13921,0,0,13922,0,0,0,0,0,0,0,13924,0,13927,0,0,0,0,0,13932,0,
13933,0,13934,0,0,13935,0,13944,0,0,0,13954,0,0,13955,0,0,0,0,13956,0,
13957,0,13967,13969,0,0,0,0,0,0,0,0,0,0,0,0,13970,13990,0,13991,13994,0,
13995,0,0,0,0,13996,0,0,13999,0,0,0,14018,0,14019,0,14021,0,0,0,0,0,0,
14041,0,0,0,0,0,0,0,0,14043,0,0,0,0,14046,0,0,0,14048,14049,0,0,0,0,0,
0,0,0,0,0,14051,0,0,14052,14056,0,14063,0,14064,14066,0,0,14067,0,0,0,0,
0,0,0,0,0,14068,0,0,0,14072,0,14074,14075,0,14076,14079,14085,14086,14087,
14093,0,0,0,0,14095,0,0,0,0,0,0,14096,14097,0,0,0,0,0,0,0,14098,0,14102,
0,0,0,0,0,14103,0,0,0,14104,0,0,14105,0,0,0,14107,14108,0,0,14109,0,0,0,
0,0,0,0,0,14117,0,0,0,0,14118,0,0,0,0,14119,0,0,14120,0,0,14121,0,14122,
14127,0,14128,14136,0,0,14138,0,14140,0,0,0,14141,14142,0,0,0,0,14146,0,0,
14149,0,14151,0,0,0,14152,0,0,14153,0,0,0,0,0,0,0,0,0,14154,0,14156,
14157,0,0,14159,0,14161,0,0,0,0,14162,0,0,0,0,0,0,14163,0,0,14173,0,0,0,
0,0,0,14174,0,0,14176,0,0,14178,0,0,14179,14181,0,0,14182,14185,14187,0,
14190,0,0,14197,0,0,0,0,0,0,0,0,0,0,0,0,14198,0,0,0,0,0,0,14199,14200,
0,0,0,14204,0,0,14208,0,0,0,0,0,0,0,0,0,0,0,14231,0,0,0,0,0,0,0,0,0,
14234,0,0,14235,0,0,0,14240,14241,0,0,0,14246,0,0,0,14247,0,14250,0,0,
14251,0,0,14254,0,0,14256,0,0,0,14260,0,14261,0,0,0,0,14262,14267,14269,0,
0,14277,0,0,14278,0,14279,14282,0,0,0,14283,0,0,0,14284,14285,0,0,0,0,
14286,0,0,0,14288,0,0,0,14289,0,14290,0,14293,14301,14302,14304,14305,0,
14307,0,14308,14309,0,0,0,0,0,0,0,0,0,0,0,14311,14312,0,0,14317,0,0,0,0,
0,0,0,14318,0,0,0,0,14320,0,0,0,0,14321,14322,0,0,0,0,0,14326,14329,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,14330,14331,0,0,0,0,14332,0,0,0,14333,0,0,
14337,14340,0,14341,0,0,14342,0,14345,14346,0,0,14347,0,14362,0,0,0,0,0,
14364,14365,14371,0,14373,0,0,14374,0,14379,0,14400,0,0,0,0,0,14401,0,0,
14405,0,14406,0,14408,14409,0,0,0,14417,0,0,14424,0,0,0,0,0,0,0,0,0,
14430,0,0,0,14431,0,0,14435,0,14440,0,0,0,0,0,0,14442,0,0,14443,0,0,0,0,
0,14446,0,0,0,0,0,0,0,14454,0,14457,0,14460,0,0,14466,0,0,0,0,0,14467,0,
0,0,0,0,0,14469,0,14477,0,0,0,0,0,0,14478,14482,0,0,0,14483,0,0,0,14485,
14486,0,0,0,14487,14488,14489,14492,14493,14494,14495,14496,14497,0,14499,0,
14501,0,0,0,0,0,0,0,0,0,0,14502,0,14507,14512,14513,14514,0,0,0,0,0,0,0,
0,0,0,0,14515,14526,14530,0,14537,0,14544,0,14547,0,0,14548,14550,14551,0,0,
14552,0,0,0,14553,0,14554,0,0,0,0,14556,14564,0,0,14565,14566,0,0,0,0,0,
0,14568,0,0,14569,0,0,0,14571,14576,0,0,14577,14578,14579,0,0,14580,0,0,0,
0,14582,0,0,0,0,0,0,0,0,0,0,0,0,14583,0,0,0,0,0,14587,0,14588,0,0,
14600,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14601,0,0,14604,14605,
14611,0,14613,0,0,0,0,14615,0,0,0,0,0,0,14627,0,14628,0,0,0,0,14631,0,
14633,14634,0,0,0,0,14635,0,0,0,0,0,0,0,0,14636,0,0,14639,14642,0,0,0,0,
14644,0,0,0,0,14645,14646,0,14653,0,0,14654,0,14658,0,14661,0,0,0,14665,0,
0,0,14668,0,0,0,0,0,0,0,0,0,14669,0,0,14670,0,0,0,14680,0,0,14681,0,0,
0,0,0,14682,14683,0,0,0,0,14686,0,0,0,0,14687,14697,0,0,0,0,14699,14705,
14711,0,0,0,0,0,0,0,0,0,0,14712,0,0,0,14713,0,0,0,0,14719,0,14720,14721,
14726,0,0,0,14728,14729,0,0,0,0,14731,0,0,0,0,0,0,0,14733,14736,14737,0,
0,14740,14742,0,0,0,14744,14753,0,0,0,0,14755,14758,14760,0,0,0,0,0,14761,
14762,14765,14771,0,14772,0,14773,14774,0,0,14775,0,0,14776,0,0,0,0,14777,0,
14779,0,0,14782,0,0,14785,14786,14788,0,0,0,0,0,14795,0,0,0,0,0,0,14798,
0,14803,14804,14806,0,0,0,14809,0,0,0,0,0,0,14810,0,0,0,0,14811,0,14812,
0,0,0,0,0,14815,0,0,0,0,0,0,0,0,14816,0,14818,0,0,0,0,0,0,14819,0,
14820,0,14823,0,0,0,14824,0,0,14826,14827,0,0,0,0,0,0,0,0,0,0,0,0,14830,
0,0,0,0,0,14833,0,14845,0,0,0,0,0,14846,0,0,14847,14871,0,14873,0,14876,
0,14877,14878,14880,0,0,0,0,0,14881,0,14882,14894,0,0,0,0,14895,0,14907,0,
14908,0,0,0,0,0,0,0,14911,0,0,0,0,14920,0,0,14931,0,14932,14934,14935,0,
0,14936,0,14945,0,0,0,0,0,0,0,14947,0,0,14948,14949,14951,0,0,14952,0,0,
0,14964,14973,0,0,14990,0,0,0,0,14995,0,0,14998,15001,0,0,15002,15020,0,0,
0,0,0,0,15021,0,15022,0,0,0,0,15023,0,0,15025,15029,15033,0,0,0,15034,0,
0,0,15035,0,0,0,0,0,15043,15044,0,0,0,15045,15046,15048,15050,0,15065,0,0,
0,0,15066,0,0,15075,15082,15084,0,0,15085,15086,0,0,0,0,0,0,0,0,15088,0,
0,0,15089,0,0,0,0,15094,0,15096,0,15097,0,15100,0,0,15102,0,0,0,0,0,0,0,
0,15105,0,0,15106,0,15109,15113,0,0,0,15115,0,15118,0,0,0,0,0,0,15119,0,
0,15120,0,0,0,0,0,15123,15129,0,0,0,15130,0,15131,0,0,15134,0,15135,0,0,
0,15137,15138,0,0,0,0,0,0,15139,0,0,0,0,0,15140,0,0,15154,15162,0,15169,
15170,0,15175,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15177,0,15178,15179,0,0,0,
0,0,15183,0,0,0,0,0,0,0,0,0,0,0,0,15185,15187,0,15194,15195,15196,0,0,0,
0,0,0,0,15204,0,0,0,0,15206,0,0,0,0,0,15207,0,0,0,0,0,0,0,0,0,15213,
0,15214,0,0,0,0,0,0,0,15232,0,0,0,0,15234,0,15238,15240,0,15248,0,0,0,0,
15250,15251,0,0,0,0,0,0,0,15252,0,0,0,15255,15262,15266,0,0,0,15267,0,0,
0,15277,15279,0,0,0,15280,15281,15282,0,0,0,0,0,15285,0,0,0,0,15289,0,0,
15291,0,0,0,0,0,0,0,15296,15297,0,0,15304,0,0,0,0,15306,0,0,0,0,0,0,
15307,15308,0,15309,0,0,15311,0,0,15312,15313,0,0,0,0,0,0,0,0,0,0,0,0,
15314,15317,0,0,0,15318,15319,0,0,0,0,15320,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,15321,0,0,0,0,0,15324,0,15325,15326,0,15330,0,0,0,0,15334,0,15335,
0,15341,0,0,15342,0,0,15343,15344,0,0,0,0,15345,0,0,0,0,15347,0,0,15348,
15349,15350,0,15356,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15357,0,15358,0,0,
0,0,0,0,0,15359,15360,15364,0,15380,0,0,0,0,0,15392,0,0,15393,0,15395,0,
0,0,0,0,0,0,0,15396,0,0,15397,15398,0,0,0,0,0,0,0,0,0,15399,0,15400,0,
0,0,15402,0,15405,15410,0,0,0,0,15411,0,0,0,15412,0,15416,0,0,0,0,0,0,0,
15428,0,15435,0,0,15438,0,0,0,0,15439,0,0,0,15440,0,0,0,15441,15449,15451,
0,0,0,0,0,0,0,15452,0,0,15455,0,0,0,15456,0,0,15458,0,15460,15461,0,0,0,
0,0,15462,15464,0,15465,0,0,15466,0,0,15467,0,0,0,0,0,15468,0,0,0,0,
15481,0,0,15484,0,15485,15486,0,0,0,15487,0,0,0,0,0,15488,0,15492,15498,0,
0,0,15499,0,0,0,15500,0,15501,0,0,15512,0,15522,0,0,0,15524,0,15525,15526,
0,0,15527,0,0,15545,15546,0,15548,15552,0,15553,0,0,0,15554,0,15555,0,15557,
15565,15573,15577,15578,0,15582,0,15583,0,0,0,0,0,0,0,0,0,0,0,0,0,15586,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,15588,0,0,0,0,0,15589,0,0,0,0,0,0,0,
15593,15594,0,0,0,0,15595,0,0,0,0,0,0,15596,0,0,0,15597,0,0,0,0,15600,0,
0,15601,0,0,0,0,15602,15603,0,0,0,0,0,0,15604,0,15609,0,0,15612,0,0,
15613,0,0,15615,15617,15618,0,0,15620,0,15636,15637,0,0,15649,0,0,0,0,0,0,
0,15650,0,0,15651,0,0,0,15656,0,15658,0,0,0,15664,0,0,15665,0,0,15668,0,
0,0,0,0,15669,0,0,15674,0,0,15675,0,0,0,0,15676,0,0,0,0,0,0,0,0,0,0,
0,15677,0,0,0,0,15678,0,0,0,0,0,15679,0,0,15681,0,15686,0,0,0,0,15687,0,
15688,0,0,15690,0,0,0,15697,0,15699,15700,0,0,0,0,0,0,0,0,0,15701,0,
15702,15703,0,15704,0,15705,0,15707,0,15709,0,15712,15716,0,15717,0,15718,
15720,0,0,0,0,0,15724,0,0,0,15725,0,15726,0,0,0,15740,0,15745,15746,0,0,
15747,0,15748,0,0,0,0,0,15749,0,0,0,15752,0,15753,0,0,0,0,0,0,15759,0,0,
0,15765,0,0,0,0,0,0,0,0,0,15767,0,0,0,15771,0,0,15784,0,0,0,0,15785,
15790,15791,0,0,15792,0,0,0,15807,0,15811,0,0,0,0,0,0,0,0,0,0,0,0,15818,
0,0,0,15819,0,0,0,0,15821,0,0,0,0,0,15822,15824,0,0,15827,0,0,15829,
15831,0,15832,0,0,15833,0,15835,15838,15839,15843,0,0,0,0,0,0,0,0,0,0,0,
15844,0,0,0,0,15845,15851,15856,0,0,0,0,0,0,0,15858,15860,0,15861,0,0,0,
15864,0,0,0,0,15865,0,0,0,0,0,0,15866,0,15872,0,0,15876,0,0,0,0,15877,
15878,15883,15885,0,0,15888,0,0,0,0,0,15889,15890,0,0,0,0,0,0,0,0,15892,
0,0,0,0,0,0,0,15893,0,0,15894,0,0,0,15895,0,15896,15897,0,15898,15901,
15902,0,15911,15915,0,15916,0,15924,15935,0,15937,0,0,0,0,0,15950,0,0,0,0,
0,0,0,15958,0,0,0,15961,0,0,15966,0,15967,0,0,15977,0,0,15978,0,0,15981,
15982,15983,0,0,0,0,0,0,0,15986,0,0,0,15990,0,15991,15995,15998,0,15999,0,
16000,0,0,0,0,16008,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16009,
16011,0,16013,0,0,0,0,0,0,0,0,16014,0,0,16015,16023,16024,16025,0,0,16026,
0,16030,0,16032,0,16033,0,0,0,0,0,0,16035,16036,16037,0,0,0,0,0,16039,0,
0,0,0,16041,0,0,0,0,0,16043,16044,0,0,16047,0,0,0,16048,0,0,16049,16050,
16052,0,0,0,0,0,16055,0,0,0,0,0,0,0,0,16056,0,0,0,0,0,0,0,16058,16060,
16061,0,0,16063,0,0,16064,0,0,0,16067,16068,0,0,16069,16078,0,0,0,16079,0,
0,0,16080,0,16081,0,0,0,16088,0,0,0,0,0,0,0,0,0,0,0,16089,16093,0,16097,
0,16103,0,16104,16105,0,0,16256,0,0,16259,0,0,0,0,0,0,0,16260,16261,0,0,
16262,0,0,16263,0,16268,0,0,0,0,0,0,0,16269,0,0,16270,16273,0,16274,0,0,
0,0,16275,16276,16277,16280,0,0,0,16281,16284,0,0,0,16286,0,16289,0,0,0,0,
0,0,0,0,0,16290,0,0,0,0,16291,0,0,0,0,0,0,0,16292,0,0,0,0,0,0,0,0,
16293,16295,16297,0,16302,0,16304,0,16305,0,16306,0,0,0,0,0,0,0,0,0,0,0,
0,16307,16308,16312,0,0,0,0,0,0,16313,16315,0,16318,0,0,0,16321,0,0,0,0,
0,0,0,16326,16333,16336,0,0,0,0,16337,16340,0,0,0,0,0,16345,0,0,16346,0,
0,0,0,0,0,0,0,0,16347,0,0,16348,0,0,0,0,16349,0,0,0,16350,0,16357,0,0,
0,0,16359,16360,0,0,0,0,16362,16363,16364,16365,0,0,16366,0,0,0,0,16367,
16368,0,16369,16374,0,0,0,0,0,0,0,16376,0,0,0,0,16378,16379,0,16380,0,0,
0,16381,16383,0,0,0,0,0,16390,0,0,0,16399,0,16402,16404,16406,16407,0,0,0,
16409,16411,0,0,0,0,16412,0,16413,16415,16423,0,0,0,0,0,16424,0,0,0,16428,
16434,16435,16449,0,16450,16451,0,0,0,16453,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,16454,0,0,16456,16458,0,0,16459,0,0,16460,0,0,0,0,16462,0,16463,0,0,
16466,0,0,0,0,0,16479,0,0,16480,0,16481,16484,0,0,0,0,0,0,0,0,0,0,16485,
0,0,0,0,0,0,16489,0,0,0,0,0,16491,0,0,16498,0,0,16503,0,16505,0,0,0,0,
0,0,0,0,16506,0,0,0,16508,16509,0,0,0,0,0,0,0,0,16511,16513,0,0,0,16516,
0,16517,0,16519,0,16529,0,0,16531,0,0,0,0,0,0,16534,0,0,16541,16542,0,0,
0,0,0,0,0,0,0,16543,16547,16548,0,0,0,16551,0,16552,0,0,0,16553,0,0,
16558,0,0,16562,16565,0,0,0,16570,0,0,0,16573,16585,0,0,0,16586,16587,16595,
0,16596,0,16598,0,0,0,16600,0,0,0,0,0,0,0,0,0,0,0,0,0,16601,0,0,0,0,
16603,0,0,0,0,0,0,0,16604,16612,0,0,0,0,16613,0,16618,0,0,0,16640,0,0,
16641,0,0,0,0,0,0,16645,0,0,0,0,16646,0,0,0,0,0,0,16651,0,0,0,0,16653,
16654,0,0,0,16655,0,0,16656,16667,0,0,0,0,16671,0,16672,0,0,0,16673,0,0,
0,0,0,16676,0,16686,0,0,0,0,16689,0,16690,0,16692,0,16693,0,16694,0,16696,
0,0,0,16705,0,0,0,0,0,0,16707,0,0,0,16709,0,0,0,0,16711,0,16712,16713,0,
0,0,16715,0,0,0,0,16716,0,0,0,0,0,0,0,0,0,16718,16724,0,0,16726,16727,0,
0,0,0,0,0,0,16728,0,16729,0,0,16730,0,0,0,0,0,16731,0,0,0,16732,0,0,0,
0,16734,16738,0,0,0,0,0,0,0,0,16743,0,0,16745,0,0,0,0,0,16749,0,16752,0,
0,0,0,16756,0,0,16758,0,16759,0,0,0,0,0,16760,0,0,0,0,0,0,0,16762,0,
16769,0,16770,0,16772,0,0,0,16777,16780,0,0,0,0,0,0,16781,0,0,16782,0,
16784,0,0,16785,16787,16792,0,0,16794,0,0,0,16798,0,0,16809,0,0,16814,16816,
16817,0,16819,0,0,0,0,0,0,0,0,0,0,16820,0,0,16836,16839,0,0,16841,16851,
16857,0,0,16858,16859,0,0,16860,0,0,0,0,0,0,0,0,16862,0,16863,0,0,0,0,0,
0,0,16864,0,0,0,0,0,0,0,16876,0,16881,16882,0,16885,16886,0,16887,0,0,0,
16889,16891,0,0,0,0,0,16894,16895,0,0,0,0,0,0,0,0,0,0,0,16897,0,16898,0,
0,0,0,0,16913,0,0,16924,16925,16926,0,0,16927,0,0,0,16937,16938,0,0,0,
16940,16941,0,0,0,16942,16945,0,16946,16949,16950,0,0,0,16952,16955,0,0,0,
16965,0,16969,0,0,16975,0,0,16976,0,0,0,0,16978,0,0,16981,0,16983,16989,0,
0,0,0,16990,0,0,16991,0,0,0,16993,0,16994,16996,17000,0,0,0,0,0,17002,
17004,0,17006,0,0,17007,0,0,0,0,17008,17013,17014,0,0,0,0,0,0,0,0,0,
17021,0,17031,0,0,0,0,0,17033,17036,0,17038,0,0,17039,0,17045,0,0,17046,
17047,0,0,0,0,17048,0,17049,17050,0,17051,17053,0,17054,0,17055,0,0,0,0,0,
17063,0,0,17064,0,0,0,0,0,0,0,17065,0,0,17068,0,0,0,0,0,17072,0,0,0,0,
0,0,17073,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17074,0,17080,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17081,17083,17084,0,0,0,17085,0,0,
0,0,17092,0,0,0,0,0,0,0,0,0,17093,0,17095,17102,0,0,0,0,0,0,17103,0,0,
17105,0,17107,0,0,0,0,17114,0,0,0,0,0,17115,17125,17127,0,0,17128,0,0,0,
17129,17130,0,17131,0,0,0,0,0,17132,17135,17145,0,0,0,0,0,0,0,0,17146,0,
17147,0,17148,0,0,0,0,0,0,17149,17150,0,17151,17153,0,17155,0,0,0,0,17163,
17171,0,17174,0,0,0,0,17179,0,0,17182,17185,0,0,0,0,0,17186,0,0,17188,0,
0,0,0,0,0,0,17189,17191,0,17194,0,0,0,0,0,0,0,0,0,17195,17196,17203,
17204,0,0,17205,17217,0,0,0,0,0,17218,0,0,0,0,17219,0,17220,0,17221,0,0,
17230,0,0,0,0,0,17236,0,17238,17239,0,0,0,17241,17244,0,0,17245,0,17248,0,
0,17251,0,17252,0,0,17264,0,17266,0,0,0,17268,0,0,0,0,17271,17272,0,17273,
0,17295,0,17302,0,17305,0,0,0,17306,0,0,0,0,0,0,0,17308,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,17309,0,17310,17313,0,0,0,0,17314,17315,0,17317,0,0,0,
0,17318,0,0,0,0,0,0,0,17320,0,0,0,0,0,0,17334,0,17344,17348,0,0,0,17350,
17351,0,0,17353,0,0,17354,0,0,0,0,0,0,0,0,0,17355,0,0,0,0,0,0,17356,
17357,0,0,17359,0,0,0,17371,0,17372,0,0,0,17393,0,0,0,0,17394,0,0,0,0,0,
17395,0,0,17399,0,0,0,17401,17417,0,17418,0,17419,0,0,0,0,0,17422,17423,0,
0,0,0,0,17424,0,0,0,0,0,17428,17429,17433,0,0,0,17437,0,0,17441,0,0,
17442,0,0,17453,0,0,0,0,0,0,0,0,17454,17456,17462,0,0,17466,0,0,17468,0,
0,17469,0,0,0,0,17470,0,17475,0,0,0,0,0,17479,0,0,0,17483,17484,0,17485,
0,17486,0,17491,17492,0,0,17493,0,17494,17495,0,0,0,17496,0,0,0,17497,0,0,
0,17502,0,0,0,0,0,17503,0,17505,0,17507,0,0,0,17512,17513,17514,0,0,17515,
0,0,0,17519,0,0,0,17522,0,0,17523,0,0,0,0,0,0,0,0,0,17527,0,0,0,17528,
0,0,0,17534,0,0,0,0,17536,0,0,0,17539,0,17540,17543,17549,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,17556,0,0,17558,0,17559,0,0,17560,0,0,0,17563,0,0,0,
0,0,0,17564,0,0,17565,17566,0,17567,0,0,0,0,0,0,17569,17570,0,17575,0,0,
0,0,0,0,0,0,0,0,0,17581,0,0,0,17582,17583,0,17586,0,0,17587,0,0,0,0,0,
0,0,17588,0,0,0,0,17596,17597,0,0,17598,17600,0,0,0,0,0,0,17601,0,0,0,
17604,0,0,17605,0,0,17607,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
17612,0,0,17618,0,17621,17622,0,0,0,0,17623,0,0,17624,0,0,17630,0,0,17631,
17633,17634,0,0,0,0,0,0,0,17635,0,0,17636,0,0,17637,0,17638,0,17640,0,0,
0,0,0,0,0,0,0,0,17641,0,0,0,0,0,0,0,0,0,0,17643,0,0,0,0,17645,0,0,0,
0,0,0,0,0,17646,17662,0,0,0,0,0,0,0,0,0,17663,17664,0,17665,17666,0,0,0,
17669,17671,17673,0,17679,0,0,0,0,0,0,0,17684,0,0,0,17686,0,17714,0,0,
17720,17722,17726,0,0,17728,0,0,17729,0,0,0,17732,0,17733,0,17734,0,0,0,
17735,0,0,0,0,17737,0,0,0,0,17739,0,0,0,17741,17742,0,0,0,0,17743,17744,
17745,0,0,0,17749,0,17750,17751,17752,17754,17761,17762,0,17763,0,17766,0,
17772,0,0,0,0,0,17775,0,0,0,0,0,0,0,17776,0,0,17777,0,0,17778,17779,0,
17782,17783,0,0,0,0,0,0,0,0,0,0,17784,0,0,0,0,0,0,0,17821,0,0,0,17822,
0,0,0,17823,17825,0,0,0,0,0,17826,17831,17832,17833,0,0,17845,0,0,0,17846,
0,0,0,17848,17850,17854,0,17855,0,0,17859,0,0,0,0,0,0,17860,17861,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17870,17871,0,0,0,0,0,0,17872,0,0,0,
17879,0,0,0,17881,17883,0,17884,0,17885,0,0,17886,0,0,17887,17891,17953,0,0,
0,0,17954,0,0,17955,0,17968,0,0,17972,0,0,0,0,0,17974,0,0,0,0,17976,
17978,0,0,17983,0,0,0,0,18003,0,0,0,0,0,18007,0,0,0,0,0,18009,0,0,0,0,
0,0,0,18010,0,0,0,0,0,0,18012,0,0,18014,0,0,0,18015,0,0,0,18016,0,18017,
0,0,0,18030,0,0,0,0,0,0,0,18031,0,0,18036,18037,18038,0,0,18049,18056,0,
18057,18058,0,18059,0,0,0,0,0,0,0,0,18062,0,0,0,0,18064,0,0,0,0,0,0,0,
0,18067,0,0,0,18068,0,0,18075,0,0,18078,18093,18094,0,0,0,0,0,0,0,0,
18097,0,0,0,0,0,18098,18100,0,0,0,18108,0,18111,0,0,18112,0,18113,0,0,
18115,18116,0,18118,0,0,0,0,18121,0,0,0,0,18123,0,0,0,0,0,0,0,0,0,18124,
0,0,0,0,18125,18126,0,18127,0,0,18128,18135,0,0,0,0,0,0,0,0,0,18150,0,0,
0,0,0,18151,18152,0,0,18156,18164,0,18166,18171,0,0,0,0,0,0,0,0,0,18172,
18183,0,18184,0,0,0,0,18185,0,18187,0,0,0,0,0,18188,0,0,0,0,0,0,0,0,
18189,0,0,18190,0,0,18191,18192,0,0,18194,18195,18196,0,0,0,18197,0,18203,0,
18204,0,0,0,0,18205,0,0,0,18207,18208,0,0,18214,0,0,0,18215,18216,0,0,0,
18220,0,0,18222,0,0,0,0,0,18223,0,18225,18231,0,18234,0,18235,0,0,0,0,
18240,0,0,18241,18242,0,0,0,0,0,18243,18251,0,18253,0,18254,0,0,0,18266,0,
0,0,0,0,0,18269,18270,18271,18273,18281,0,0,0,0,0,0,0,0,0,0,0,0,18282,0,
18283,0,18284,0,0,0,0,0,0,18285,0,18287,18289,0,0,18290,0,0,0,0,18308,0,
0,0,18310,0,0,0,0,0,0,0,0,0,0,0,0,18311,0,18312,18313,0,18315,0,0,18316,
18320,0,18331,0,18332,0,18336,0,0,0,0,18337,0,18340,0,0,0,0,0,0,0,0,0,
18341,0,18344,18345,0,18346,0,0,0,0,0,18348,0,18351,0,0,18356,0,0,0,0,0,
0,18357,0,0,0,0,0,18367,0,0,0,18368,0,18369,0,18370,18371,0,0,0,18437,
18444,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18445,18450,0,0,0,0,18451,0,18452,0,
0,0,18453,0,0,0,0,0,18455,0,0,0,18456,0,18457,0,18460,0,0,18461,0,0,0,0,
0,0,0,0,18466,0,0,18467,0,0,0,0,18473,0,0,0,18476,0,18477,0,0,0,18478,
18479,18480,0,0,0,18485,0,0,0,18486,0,0,0,0,0,0,18488,18490,0,0,0,0,0,0,
18491,0,0,0,0,0,18495,0,0,18496,0,0,0,0,0,0,18505,0,18521,0,18522,18523,
0,0,0,18525,18526,0,0,0,0,0,18527,0,0,0,0,18532,18533,0,18534,0,0,0,0,0,
0,18535,18537,0,18538,0,0,0,0,0,0,18540,18541,18542,18543,0,18546,0,0,0,0,
18553,18556,0,0,18558,0,0,18569,18571,0,0,0,18572,0,18574,0,0,0,0,18586,0,
0,0,0,0,18588,0,0,18589,0,0,0,0,0,0,18590,0,18592,0,0,0,0,18594,0,0,0,
18596,0,0,18597,18598,0,0,18601,0,0,0,0,18602,0,0,0,18603,18604,0,18605,0,
0,0,0,18608,0,0,18611,0,0,0,0,0,0,0,0,0,18612,0,18616,0,0,18617,18619,0,
0,0,18628,0,0,0,18629,0,0,18630,0,0,0,0,0,0,0,18631,0,18632,0,0,18635,
18637,0,0,0,0,0,0,18641,18643,18648,0,18652,0,0,18653,0,18655,18656,0,0,0,
18657,0,0,18666,18674,0,0,0,0,18677,18684,18685,0,0,18686,0,0,18690,0,0,0,
0,0,0,0,18695,18696,0,0,0,0,0,0,0,0,0,0,18697,0,0,18700,0,0,0,0,0,0,
18702,0,18708,0,0,18709,0,18710,0,0,18711,0,18714,0,0,18718,0,0,0,0,0,0,
18719,0,0,18722,0,18726,0,0,0,0,0,0,0,0,0,0,0,0,0,18731,0,0,0,0,0,
18739,18741,0,0,18742,0,18743,18744,18746,18748,0,18752,18753,0,0,18754,18763,
0,18765,0,0,0,18766,0,0,0,18769,0,0,0,0,0,18773,18778,18779,18781,0,0,
18784,18787,0,18788,0,18793,0,0,0,0,0,0,18795,0,0,18800,0,0,0,0,0,18801,
18804,0,0,0,0,0,0,0,18806,0,0,0,18811,18815,18816,0,0,0,0,18825,0,0,
18827,18829,0,0,18830,0,0,0,0,18831,0,0,18832,0,0,0,0,18833,0,18840,0,
18841,0,18842,0,0,0,0,18843,0,18844,0,0,0,0,0,0,18845,18846,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,18848,0,0,0,18853,18860,0,0,18862,18866,0,0,
18867,18869,0,0,18874,18881,18891,0,0,0,0,0,0,0,0,0,0,18892,0,0,0,0,0,0,
0,0,18895,0,18896,0,0,0,18900,0,0,0,18901,0,18902,18915,18916,0,0,0,0,0,
0,0,0,18919,0,0,0,0,0,18920,0,0,0,18921,18929,0,0,0,0,18930,0,0,0,0,0,
0,18932,0,0,0,0,18934,18942,0,0,0,18951,18957,0,0,0,0,18958,0,0,0,0,
18959,18960,0,0,18961,0,0,18962,0,0,0,0,18963,18964,0,0,0,18965,0,18967,0,
0,0,0,0,0,0,0,0,18968,0,18969,0,18970,18973,18976,0,0,0,0,0,0,18977,0,0,
0,18981,0,0,0,18990,0,18998,0,0,0,0,0,18999,19003,0,0,19005,0,0,0,19006,
0,0,0,0,0,0,19008,19011,0,0,19018,0,0,19019,0,19024,0,19031,19032,0,19039,
0,19041,19050,0,0,0,19051,19055,19056,0,19059,19063,19064,0,0,19088,0,0,0,
19093,19094,0,0,0,0,19095,0,19096,0,0,0,19097,0,0,19098,0,19099,19100,0,0,
19103,0,0,0,0,0,0,0,19111,0,0,0,0,0,0,19112,0,0,0,19116,19117,0,19121,
19122,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19123,19124,0,0,0,
0,0,0,0,19125,19126,0,19128,0,0,0,0,0,0,0,0,0,0,19129,19130,19131,19132,
0,0,19146,0,0,19147,19156,19158,0,0,0,0,0,0,0,0,19182,19185,0,0,19187,0,
0,0,19193,0,0,0,0,0,19194,0,19197,0,0,0,0,19198,0,0,0,0,0,0,0,0,0,0,
19202,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19203,0,19205,
19210,0,0,0,19213,0,19218,0,0,0,19223,19229,0,0,19230,0,0,19231,19232,19233,
19239,0,0,0,0,0,19240,0,19248,19249,0,0,0,0,19254,0,19256,19258,19259,0,0,
19261,0,19266,0,0,0,19272,0,19278,19281,19282,0,0,0,0,0,0,0,0,0,0,0,0,
19283,0,0,19284,0,0,19285,19287,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19288,19291,
0,19292,0,0,0,0,19297,0,19298,0,0,0,0,19302,19303,0,0,0,0,19304,19305,0,
0,0,0,19314,0,0,19315,0,0,19321,0,0,0,0,0,0,0,19322,0,19333,0,19334,
19335,0,19336,19337,0,0,0,0,0,0,0,0,0,0,0,19346,0,0,19353,0,19354,19362,
0,19366,19367,0,0,19369,0,19375,0,19377,19380,19388,0,0,0,0,0,19389,19390,0,
0,0,0,19392,0,0,0,0,0,19402,0,0,0,0,0,0,0,0,19412,0,0,19413,19422,0,
19424,0,0,0,19425,0,0,0,19428,0,0,0,0,19431,0,0,0,0,0,19432,0,0,0,0,0,
19448,19459,0,0,19461,0,19462,19463,0,19467,19474,19482,0,0,0,0,19494,0,0,0,
0,19501,0,0,0,0,0,0,0,0,0,0,19502,19504,0,0,0,0,0,0,0,19505,0,0,0,0,
19506,19507,0,0,0,19508,0,0,19511,0,0,19514,0,19515,0,19516,0,19518,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19530,0,19537,19538,0,19543,19546,0,19547,
19551,0,0,0,0,0,0,19552,19553,0,0,0,0,0,0,0,0,0,0,0,0,19555,0,0,19556,
0,0,0,0,0,0,0,0,0,0,0,0,19560,19561,0,0,19562,0,0,0,0,0,0,19565,19567,
0,19568,0,0,0,19569,19570,0,19578,0,0,0,0,19580,0,0,0,0,19581,19584,0,0,
0,0,0,0,0,19585,19586,0,0,0,19587,19588,0,19589,0,0,0,0,0,0,19592,19593,
19599,0,19600,0,0,19604,0,0,19605,0,19606,19608,19610,0,19613,19614,0,0,0,0,
0,0,19616,19617,0,0,19618,0,0,19619,0,0,0,19620,19621,19631,0,0,19632,19634,
19636,0,19643,0,0,19644,19658,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,19659,0,0,0,0,0,0,0,0,0,0,0,19675,19677,0,0,0,0,19679,0,19683,0,19684,
0,0,0,0,0,0,19687,0,0,0,0,0,0,0,0,19688,19689,19692,0,0,0,0,0,0,0,
19695,19697,0,0,0,0,0,19698,19699,0,0,19700,0,19702,0,0,19703,0,0,0,0,0,
0,19704,19708,0,19710,0,19713,0,0,0,19715,0,0,0,0,19718,0,0,0,0,0,0,0,
19720,0,19722,0,0,19725,0,0,0,0,0,0,0,0,0,0,0,0,0,19730,0,0,0,0,0,
19731,0,19734,19735,19739,0,0,19740,0,19741,0,0,0,19746,0,0,19747,0,19771,0,
0,0,0,0,0,0,0,19772,19775,0,0,0,0,0,0,19778,0,0,0,0,0,19779,0,0,19780,
19790,0,19791,0,0,19792,0,0,0,19793,0,0,19796,19797,0,0,0,19799,0,0,0,
19801,0,0,0,0,19803,0,19804,0,19805,0,0,19807,0,0,0,19808,0,0,0,0,0,0,
19809,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19816,0,19821,0,19822,19830,
19831,0,0,0,19833,0,0,0,0,0,0,0,0,0,0,19838,0,0,0,0,19839,0,0,19843,0,
0,0,0,19845,0,0,0,0,19847,0,0,19848,0,19849,0,0,0,0,0,0,0,19851,0,0,0,
19854,0,0,0,0,0,0,0,0,0,19864,0,19865,0,19866,0,0,0,0,0,0,0,19868,0,0,
19870,0,0,19871,0,0,19872,19873,19875,0,19880,19882,19884,0,0,19885,19886,
19888,0,0,0,0,0,0,0,0,0,0,0,0,19890,19892,19893,0,0,19894,0,0,0,19895,0,
19896,19902,0,0,19903,0,0,19905,0,0,0,19906,0,19908,0,19909,19911,0,0,0,
19913,19920,0,19938,19939,19940,0,0,0,0,0,0,0,19942,0,19943,0,19945,0,0,0,
19951,19952,19954,19960,0,19965,0,19971,0,0,0,0,0,19975,0,19976,0,19990,0,0,
19991,0,19993,0,19995,0,0,0,19998,19999,20001,0,20003,20005,0,20011,20012,0,
0,0,0,0,0,20014,0,20020,0,0,0,0,20021,0,0,0,0,0,20023,20024,0,0,0,0,0,
20025,0,0,20027,0,0,20029,0,0,20032,0,0,0,0,20044,20045,0,20048,20049,0,0,
20050,0,20052,0,0,20054,20057,0,0,0,0,0,0,0,0,0,20059,0,0,20061,0,20062,
0,20064,0,0,20066,0,0,20067,0,0,0,0,20069,0,0,0,0,0,0,20070,20071,0,0,0,
0,0,0,0,0,0,0,0,20072,0,0,20073,20074,0,0,0,0,0,20075,0,20078,0,0,0,0,
20080,0,20081,0,0,0,0,0,0,20095,0,20098,0,0,0,0,0,0,0,20107,0,0,0,0,0,
0,0,0,20112,0,0,0,20113,20114,0,0,0,20115,20123,20124,0,0,0,20131,20133,
20134,0,0,0,0,20136,0,0,20137,20138,20150,0,20152,0,0,0,20153,0,0,20154,0,
0,0,20158,0,20163,0,0,20164,0,0,0,0,0,0,0,20166,0,20168,0,20170,0,20175,
0,0,20178,0,0,0,0,20223,0,0,0,0,20224,0,20226,0,0,20230,0,20231,0,0,0,0,
20232,0,0,20233,20234,0,20244,0,20247,0,0,0,0,0,0,20249,0,0,0,20250,0,0,
0,0,20251,0,20253,0,20254,0,0,0,0,20256,0,0,20264,0,0,0,0,20266,0,0,0,
20278,0,0,20279,20282,0,0,0,0,0,20283,0,20284,0,20285,0,20287,20290,0,0,0,
0,20292,0,0,0,0,20293,20297,0,0,0,0,0,0,20299,0,20300,20303,0,0,0,0,0,0,
20307,0,0,20308,0,20309,0,20310,0,0,0,0,0,0,20312,0,0,0,20314,0,0,0,0,
20315,20316,0,20322,0,0,0,0,0,0,20339,0,0,0,20342,0,0,0,0,20352,0,0,0,0,
0,0,0,0,0,0,20362,0,0,20365,0,20375,20377,0,0,0,0,0,0,0,0,0,0,0,20378,
20379,0,20380,0,0,20381,0,20382,0,20383,0,20388,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,20390,20392,20393,0,0,20395,0,0,0,0,0,20396,0,0,0,0,0,0,0,0,20398,
20415,0,0,0,20417,0,0,20420,0,0,20426,20428,0,20431,0,0,20432,0,20433,20434,
20435,0,0,0,0,20440,0,0,0,0,0,20442,0,20443,0,20446,0,0,0,0,20448,0,
20451,0,0,0,0,0,0,0,0,0,20452,20453,0,0,20454,0,0,0,0,0,0,20457,0,20458,
0,0,0,20465,0,0,0,0,0,20469,0,0,0,20473,0,20476,0,0,0,0,0,0,0,0,20477,
0,0,20485,0,0,20486,0,0,20487,0,20496,0,20497,0,0,20498,0,0,0,0,0,0,0,0,
0,0,20499,20500,0,20501,0,0,0,0,0,20520,20527,0,20529,0,0,0,0,20539,0,0,
20540,0,0,0,20543,0,0,0,20546,0,0,0,0,0,20548,0,0,20563,0,0,20564,0,
20566,0,0,0,0,0,20589,0,0,0,0,20590,0,0,20593,20594,0,0,0,0,20595,0,
20597,20598,0,0,0,20618,20620,0,0,0,0,20621,0,0,0,0,20627,0,0,0,0,0,
20628,0,0,0,20629,0,20630,0,0,20639,0,0,0,0,0,20707,0,0,20709,0,0,0,
20713,20714,0,0,0,0,0,20724,20725,0,0,0,0,20726,20728,20729,0,20733,0,20734,
0,20735,20736,0,20737,0,0,20744,0,20745,0,20748,0,0,20749,0,0,0,0,0,0,0,
0,20750,0,0,0,0,20754,0,0,0,20761,0,0,20763,0,0,0,0,0,0,0,20766,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,20767,0,0,0,0,20768,0,20769,20777,0,0,0,0,0,0,
20785,0,0,0,20786,20795,20801,0,20802,0,20807,0,0,20808,0,0,20810,0,0,20811,
0,20812,0,0,0,0,0,20813,0,0,20818,20820,20821,0,0,0,20822,0,20823,0,0,0,
20826,0,0,0,0,0,0,0,20829,20830,20831,0,20832,20836,0,0,20839,0,0,20840,
20842,0,20843,0,20844,0,20854,0,0,0,20855,0,0,0,0,20856,0,0,0,20869,0,0,
20871,0,0,0,0,0,0,0,20873,0,0,0,0,0,20876,0,0,0,0,0,20880,0,0,20882,0,
0,0,0,20883,20884,0,0,20890,0,0,0,0,0,0,0,0,0,20891,0,0,0,0,0,20905,0,
20906,20910,0,0,20912,20915,0,0,0,0,0,20916,0,20917,0,20919,20920,20922,0,
20927,0,20928,20929,20930,0,0,20935,0,0,20939,0,0,20941,0,0,0,20943,0,0,0,
20946,20947,0,0,0,0,0,20950,0,20954,0,0,20955,20964,0,0,20967,0,0,0,0,0,
20973,20975,0,0,0,20984,0,20987,20988,0,0,0,0,0,20989,0,0,0,20995,0,20998,
0,20999,0,0,0,0,21000,21001,0,0,0,0,21008,0,21010,0,21016,0,0,0,21017,
21018,0,0,0,0,0,21021,21026,21027,21028,0,0,21029,0,0,0,0,0,21030,0,0,0,
0,0,0,0,0,0,0,0,0,0,21031,21032,0,0,0,0,0,21037,0,0,21038,0,0,0,0,0,
0,0,0,0,21039,0,21041,0,21046,21047,0,0,0,21049,21053,0,0,21057,21064,21065,
0,0,21066,21067,0,0,0,21069,0,0,0,21071,21072,0,0,21073,0,21074,0,0,21078,
0,0,0,0,21079,0,0,21080,21081,0,0,21086,21087,0,21089,0,0,0,0,0,0,0,
21091,0,21093,0,21094,0,0,0,0,0,0,0,0,21095,0,0,0,0,0,21096,0,21098,0,0,
0,0,0,0,0,21099,0,0,21100,21101,21102,0,0,0,0,0,21103,0,21104,0,0,0,0,0,
21105,21108,21109,0,0,21112,21113,0,0,0,0,0,0,21115,21122,21123,0,0,0,0,0,
21125,0,0,0,0,0,0,0,0,21129,21131,0,0,21134,0,0,0,21137,21142,0,21143,0,
0,21144,0,21145,21146,0,21152,21154,21155,21156,0,0,0,21160,0,0,0,0,0,0,
21161,0,21164,0,21166,0,0,0,0,21170,0,0,0,0,21171,0,0,21172,0,21174,0,
21175,0,0,0,0,0,21176,21179,21188,0,0,0,21189,0,0,21190,0,0,0,21192,0,0,
21193,0,0,0,21198,0,21212,0,0,21213,0,0,0,0,0,0,21215,21216,0,0,21223,
21225,0,21226,0,0,0,0,21227,21228,0,0,21229,0,0,0,0,21230,21236,0,0,0,0,
0,0,0,0,0,0,0,0,0,21237,0,0,21238,21239,0,0,0,0,21256,0,0,0,0,0,21257,
0,0,0,0,0,0,0,21259,0,0,0,21263,0,21272,0,21274,0,21282,0,0,0,0,0,0,0,
0,21283,0,0,0,0,0,0,0,0,21294,0,0,21297,0,0,0,0,21298,0,0,0,21299,0,
21300,21302,0,21316,0,21318,21322,21323,0,21324,0,21326,0,0,0,21327,21328,0,
0,0,21352,0,0,21354,21361,0,0,0,0,0,0,0,0,0,0,0,0,0,21362,0,0,0,21363,
0,0,0,0,0,0,0,0,0,21366,0,0,21367,21372,21374,0,0,0,21375,21377,0,21378,
0,0,0,21380,0,0,0,0,0,0,0,0,0,0,21381,0,0,0,0,0,0,21382,0,21383,0,0,
21384,0,0,21385,0,0,0,0,21389,21390,0,0,0,0,0,0,0,0,0,0,0,0,0,21397,
21398,0,0,0,0,0,0,0,0,0,0,21399,0,21400,0,0,0,0,21402,0,0,0,21403,21404,
0,21405,21406,0,0,0,21407,0,0,0,0,0,0,0,0,0,0,0,0,21408,0,0,0,0,21409,
0,21421,0,21422,0,0,0,21425,21428,0,0,0,0,21429,0,0,0,0,0,21433,0,0,0,0,
0,0,0,0,0,0,21434,0,21443,0,21444,21449,0,21452,0,21453,21454,0,0,0,21457,
0,0,21458,0,0,0,21460,21461,0,0,21464,0,0,0,21473,21478,0,0,21479,0,0,
21481,21483,0,0,0,0,0,0,0,0,21484,0,0,21485,21486,0,0,21488,0,0,0,0,0,0,
21523,0,0,21525,0,0,0,0,0,0,0,21526,0,0,0,0,0,0,21529,21530,0,0,21531,0,
0,21533,0,0,21539,21564,0,21567,0,0,0,0,0,0,0,0,21575,0,0,0,0,21577,0,0,
0,0,0,21591,0,0,21604,0,0,0,0,0,0,0,0,0,21605,0,21606,0,0,21617,21618,
21619,21620,0,0,0,0,0,0,0,0,0,0,0,0,0,21623,0,0,0,0,21631,0,21635,0,0,
0,0,21639,21646,21653,21662,0,0,21663,21664,0,21666,0,0,21667,0,21670,21672,
21673,0,21674,21683,0,0,0,0,0,21684,0,21694,0,0,0,0,21695,21700,0,21703,0,
21704,0,0,21709,0,0,0,21710,0,0,0,0,0,0,0,0,21711,0,0,0,21712,0,21717,0,
21730,0,0,0,21731,21733,0,0,0,0,21737,21741,21742,0,21747,0,0,0,21749,0,0,
0,0,0,0,0,0,0,0,0,0,0,21750,0,0,0,0,0,21752,0,0,0,0,21753,0,0,0,0,0,
0,21755,21756,0,21757,0,0,0,0,0,0,21760,0,0,21763,0,0,0,0,0,0,0,0,0,
21764,0,0,21766,0,0,21767,0,0,0,0,0,0,0,0,0,21773,0,21774,0,0,21775,0,0,
0,0,21776,0,0,21777,0,0,0,0,0,0,0,0,0,21780,21787,21788,21791,0,0,0,
21797,0,0,0,0,0,21805,0,0,0,0,21806,0,21807,21809,0,21810,21811,0,21817,
21819,21820,0,21823,0,21824,0,0,21825,0,0,21826,21832,0,0,0,0,0,21833,21848,
21849,0,0,21867,21870,21871,21873,0,0,0,21874,0,0,0,0,0,0,0,0,0,21875,0,
21878,0,0,0,21879,0,21881,21886,0,0,0,0,21887,0,0,21888,21894,21895,21897,0,
21901,0,21904,0,0,21906,0,0,0,21909,21910,21911,0,0,21912,0,0,21913,21914,
21915,0,21919,0,0,0,0,0,0,0,21921,0,0,21922,21933,21939,0,0,0,0,0,0,0,0,
0,0,0,21944,0,0,0,0,0,21945,0,21947,0,0,0,0,0,0,0,0,0,0,21949,0,0,0,
21950,0,0,0,0,0,0,0,0,0,0,0,0,0,21951,0,21952,0,0,0,0,0,0,0,0,0,
21954,21957,0,0,0,0,21958,0,21959,0,0,0,0,0,0,21962,21963,0,0,0,0,0,0,0,
0,21964,21965,0,0,21969,21970,0,0,0,21974,0,0,21980,21981,0,21982,0,0,0,0,
0,21985,0,21988,0,21992,0,21999,0,0,0,0,0,0,22001,0,22002,0,0,0,0,0,0,
22003,0,0,0,0,0,22004,0,0,0,22008,0,22009,22015,0,0,22016,0,0,0,22017,
22019,0,0,0,0,0,0,0,0,0,22020,0,0,0,0,0,0,0,0,0,0,22021,22037,0,22039,
0,0,0,22040,0,0,0,22048,22049,0,0,22053,22055,22056,22059,0,0,22060,22061,0,
0,22064,0,0,0,0,22066,0,0,0,0,0,0,0,22073,0,0,0,22074,22075,0,0,0,0,0,
0,0,22076,0,0,0,0,22077,22084,22099,0,0,0,0,0,0,0,22104,0,0,22107,0,
22108,0,22109,0,22110,0,0,0,0,0,0,0,22111,22119,0,22120,22122,0,0,0,0,
22125,0,0,0,22128,22129,0,0,0,0,0,0,22141,0,0,0,22142,0,0,22144,22146,0,
22148,22149,22151,22154,0,0,0,22162,0,0,0,0,22164,22177,0,0,0,0,22179,0,
22182,22183,0,0,22184,22188,0,0,0,0,0,0,0,0,22190,0,22194,22201,0,0,22208,
0,22209,0,22212,0,0,22215,0,22223,22231,0,0,22232,0,22234,0,0,22235,22236,0,
22237,0,22240,0,0,0,0,0,22241,0,0,0,22242,22246,22247,0,0,0,22259,22268,0,
22269,0,0,0,0,0,0,0,22270,0,0,0,0,22271,0,22272,0,22277,0,0,0,0,0,22278,
22280,22283,22286,0,0,22287,22289,0,0,22290,0,22293,0,0,0,0,0,0,0,0,0,0,
22295,0,22301,22302,0,0,0,22305,0,22308,0,0,0,0,0,0,0,0,0,0,22315,0,0,0,
22317,0,22334,0,0,0,22335,0,0,0,0,0,22336,0,22338,22344,0,22347,22349,0,
22350,0,0,0,0,0,0,0,22357,0,0,0,0,0,22358,0,0,0,0,0,0,0,0,0,0,22359,
22360,0,0,0,0,0,0,0,0,22361,22366,0,0,22369,0,22370,22373,0,0,0,0,0,
22375,0,22377,0,0,0,0,0,22378,0,0,0,0,22381,0,0,0,0,22382,0,22383,0,0,0,
0,0,0,0,0,0,22391,0,0,22392,22395,22396,22402,0,0,0,0,0,0,0,0,0,0,0,0,
0,22405,0,0,22406,0,0,22408,0,0,22409,22410,0,0,0,0,0,0,22424,0,0,0,0,
22426,0,0,0,22427,0,22428,0,22432,0,22435,22442,22443,0,0,0,0,22444,0,0,0,
0,0,22446,0,22454,0,22455,0,0,0,22465,0,22470,0,22471,0,0,0,0,22472,22473,
0,22487,0,0,0,22488,0,0,0,0,22489,0,0,22499,0,0,0,0,0,0,22514,0,0,22515,
0,0,0,0,0,0,0,22516,0,0,0,22517,22520,0,0,0,22534,0,0,22535,0,0,22536,0,
22540,22553,0,22555,0,0,0,0,22561,0,0,22562,0,0,0,0,0,0,0,0,0,0,0,22566,
0,0,0,0,22567,22568,0,0,22575,0,22579,0,22582,22583,22585,0,0,0,0,0,22586,
0,0,22587,0,0,22590,0,0,0,0,0,22591,0,22592,0,0,0,0,0,22593,0,22602,0,0,
22604,0,0,22609,0,0,22618,0,0,0,0,0,0,22619,0,22624,22625,0,0,22638,0,0,
0,0,0,22639,0,0,22640,0,0,0,0,0,0,0,22644,0,22645,22647,0,0,0,0,22652,
22653,0,0,0,22654,0,22655,0,0,0,22656,0,0,0,0,0,0,0,0,0,0,22673,22675,
22676,0,0,22678,22679,0,22691,0,0,0,0,0,0,0,22693,0,0,22696,0,22699,22707,
22708,0,0,0,0,0,0,0,0,22718,0,22719,0,0,0,0,22723,0,0,0,22724,22725,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,22726,22728,0,0,0,0,0,0,0,0,22729,0,0,22731,
0,0,0,0,22732,22735,22736,0,0,0,0,22739,0,22749,0,0,22751,0,0,0,0,0,0,0,
0,0,0,0,22758,0,0,0,0,0,22760,0,0,0,0,0,22764,22765,22766,0,22768,0,0,0,
0,0,22769,22770,0,0,0,0,0,0,22771,0,0,22772,22775,0,22776,22777,22780,0,0,
22782,22784,0,22787,0,22789,22796,0,0,0,0,0,22798,0,0,0,0,0,0,22802,0,
22803,22804,0,0,0,0,0,0,0,0,0,0,22805,0,0,22810,22811,22814,22816,0,22825,
22826,0,22831,22833,0,0,0,0,0,0,0,0,0,22834,0,22836,22838,0,22839,0,0,0,
0,0,22840,0,22847,0,0,0,0,0,22856,22857,0,22858,22859,0,0,22862,0,0,22864,
0,0,0,0,22865,0,0,0,0,0,0,0,0,0,0,0,22866,0,22867,22868,0,0,0,0,22869,
0,22871,0,22872,0,22873,22881,22882,22884,22885,0,0,0,0,0,0,0,22886,22887,0,
22894,0,22895,0,0,0,22900,0,22901,0,0,0,0,22904,0,0,0,0,22905,22907,0,0,
0,22915,22917,0,0,22918,0,0,0,22920,0,0,0,22929,22930,0,0,0,22941,22942,0,
0,0,22943,0,0,0,22944,0,0,0,0,0,0,0,22946,0,22947,0,0,22954,0,22956,0,0,
22962,0,0,0,0,0,0,0,22963,0,0,22964,0,0,0,0,0,0,0,22965,0,22968,0,0,0,
22969,0,0,0,0,0,22970,0,22971,0,0,0,0,0,22978,0,0,22979,0,22987,0,0,
22989,0,0,0,0,0,0,22990,0,23005,0,0,0,0,0,0,0,23006,23007,23008,0,0,
23023,23024,23029,0,0,0,0,23030,0,0,0,0,0,23032,0,0,0,0,0,23035,0,0,0,0,
23038,0,0,0,23048,0,23049,23052,23053,23060,23061,0,23063,0,0,0,0,23067,
23068,0,0,0,23069,23073,0,0,0,23127,0,23128,0,0,0,0,0,23129,0,23138,23141,
0,23149,0,0,23150,0,0,0,23152,0,0,0,0,0,0,0,0,23154,0,0,0,0,23157,23159,
23160,0,0,0,0,0,0,0,0,0,0,0,0,23180,0,0,0,0,23181,0,0,23188,0,23189,0,
0,0,0,0,0,0,0,0,0,0,0,23195,0,0,23196,23199,0,0,0,0,0,0,0,0,0,23202,
0,23204,0,23207,0,23209,23210,0,0,0,0,0,0,23227,23229,0,0,23230,23234,23238,
0,0,0,23245,23246,23248,0,0,0,0,23249,23254,0,0,0,23265,0,0,0,0,0,0,0,
23268,0,23276,0,0,0,0,23277,0,23297,0,23298,0,0,0,0,23299,0,23302,0,0,
23303,23312,0,0,23314,0,23320,0,0,0,0,23324,0,23325,0,23328,0,23334,0,0,0,
23337,0,0,0,0,23343,23344,23346,0,23348,0,0,0,0,0,0,0,0,23353,0,0,0,0,
23355,0,23356,23358,0,0,0,23359,23360,0,23361,0,23367,0,23369,0,0,23373,0,
23378,23379,0,23382,23383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23387,0,0,0,0,0,
0,23388,23390,0,0,23393,23398,0,0,0,23399,0,0,0,23400,0,0,0,0,23401,0,0,
0,23415,0,0,0,0,0,0,0,0,23416,0,23422,0,23443,23444,0,0,0,0,23448,0,
23454,0,0,0,0,0,0,23456,0,0,23458,23464,0,0,0,0,0,0,23465,0,0,0,23470,
23471,0,0,23472,0,0,0,23473,23496,0,0,0,0,0,0,0,0,23497,0,23499,0,0,
23502,0,0,23503,0,0,23513,0,0,23515,0,0,0,23517,0,0,0,0,23518,23519,23521,
23524,0,23525,23528,23539,0,0,0,0,0,23541,0,0,23544,0,0,23556,0,0,23557,0,
0,0,0,0,0,0,0,0,0,0,0,0,23559,0,23560,0,0,23561,0,0,23566,0,0,0,0,0,
23568,23569,23570,0,0,0,0,23571,0,23574,0,0,0,0,0,0,0,0,0,0,0,23575,0,
23579,0,0,23581,0,0,0,0,0,0,23587,0,0,0,0,0,0,0,23596,23598,0,0,0,0,
23602,23606,0,0,23607,0,23608,0,0,0,23614,23616,0,0,0,0,0,23618,0,0,23619,
0,0,0,0,23621,23626,0,23627,0,0,0,0,0,0,0,23629,0,23630,0,0,0,0,23634,0,
23636,0,0,0,0,0,0,23638,0,0,0,0,23640,23667,0,23669,0,0,0,23681,0,0,0,0,
0,0,0,23682,0,23683,0,0,0,0,0,23684,0,0,0,23685,23689,0,23693,23694,23700,
0,23702,0,23709,0,0,0,0,0,0,0,23712,0,0,0,0,0,23714,0,0,23715,0,0,0,0,
23718,0,0,23720,0,0,0,0,23722,0,0,0,23726,23729,0,23741,23746,0,23748,0,0,
0,0,23749,0,0,0,0,0,23750,0,0,0,0,23751,0,23753,0,0,0,0,23757,23765,0,0,
0,23770,0,0,0,0,0,0,0,23771,0,23772,23781,0,0,23796,0,0,0,0,23798,0,
23799,0,0,0,23802,0,0,23806,0,23807,0,0,23808,0,23809,0,23819,0,0,0,23821,
0,23827,0,0,0,23829,0,0,0,0,0,0,0,23830,0,0,0,0,0,0,23832,23833,23834,
23835,0,0,0,0,23837,23838,0,0,0,0,0,23846,0,0,0,0,0,0,23847,0,0,0,0,0,
23879,23881,0,0,23882,23883,23895,0,23899,0,0,0,0,23901,0,0,0,0,0,0,23902,
0,0,0,0,0,23903,23905,0,23906,0,23907,23918,23919,23920,0,23922,0,23924,0,
23927,0,23934,0,23937,23941,0,23942,23946,0,0,0,0,0,23955,23956,23958,0,0,0,
0,0,0,23959,0,23962,23965,0,23966,0,0,0,0,23967,23968,0,0,23973,0,0,23974,
0,0,0,0,23975,0,23976,0,0,0,0,0,0,0,0,0,0,0,0,0,23977,0,0,0,0,0,0,0,
0,23980,0,0,23984,0,23985,0,0,23987,0,0,23988,23990,23991,0,0,0,0,0,0,
23992,0,0,0,0,0,0,0,0,23994,0,0,0,23998,0,0,0,0,0,0,0,0,0,23999,0,0,
24003,0,24004,0,24006,0,0,0,24007,0,0,24008,0,0,0,0,0,0,0,24009,0,0,
24010,0,0,24011,0,0,24013,24014,0,0,24015,24016,24027,0,24028,24029,0,24030,
0,0,0,0,0,24033,24034,0,24035,0,0,24036,0,0,24044,0,24048,24049,24063,24067,
0,24068,24070,0,0,24071,24078,24087,0,24090,0,0,0,24095,0,24098,24101,24104,
24106,0,24107,0,0,0,24108,0,0,0,0,24110,24111,0,24113,0,0,24115,24120,0,0,
0,0,0,0,24124,0,24125,0,24126,0,24127,0,0,0,0,0,24135,0,0,24136,0,24137,
24142,0,0,0,24146,0,0,24147,24149,24154,0,24163,0,0,0,24165,24166,24167,0,0,
0,0,0,0,0,0,0,0,24169,24170,24175,0,0,0,24178,0,0,24179,0,0,24181,0,
24184,24197,0,24201,24204,0,0,0,0,0,0,24206,24212,24220,0,0,0,24224,0,0,0,
0,0,0,0,0,24226,0,24234,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24235,0,
24236,0,0,0,0,0,24239,24240,24241,0,0,24248,0,0,24249,0,24251,0,0,0,0,0,
0,24253,0,24268,0,0,0,24269,0,24271,24272,0,0,0,0,24273,0,0,24274,0,0,
24279,0,0,0,0,0,0,0,24280,0,24293,24294,0,0,0,0,0,0,24296,0,0,24323,0,0,
0,24329,24330,24331,24339,0,24351,0,0,24369,24370,0,0,0,24371,0,0,0,0,24372,
24373,24374,0,0,0,0,0,24378,0,0,0,0,24379,0,24381,0,24383,24389,0,24390,0,
0,24394,24395,24400,0,0,0,24401,24402,0,24406,0,0,0,24411,0,0,0,24415,0,
24416,0,0,0,0,0,24417,0,24419,0,24422,0,24423,24428,0,24435,0,0,0,24439,0,
0,0,24440,24442,24446,0,0,0,24447,24448,24449,24452,0,0,0,0,24453,24457,0,0,
24458,24459,24460,0,24465,0,0,0,0,0,0,0,24470,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,24471,0,24473,24474,24475,24476,0,24478,0,0,0,0,24480,0,0,0,
0,0,0,0,0,0,0,24481,0,0,0,0,0,0,0,0,0,0,24482,24485,0,0,0,0,24486,0,
0,0,24488,0,0,0,24494,0,0,0,0,24497,0,0,24498,0,0,0,24499,24506,0,0,0,
24507,0,0,24511,0,0,24513,24514,0,0,0,0,0,24517,0,24518,0,24520,0,24521,
24524,24525,0,0,0,0,0,24527,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24528,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,24537,24539,0,24540,0,0,0,24548,0,0,0,0,0,
24549,24550,0,0,0,24553,24554,0,24555,0,24556,0,24558,0,0,0,0,0,24560,0,0,
0,24561,0,0,0,0,0,24562,0,0,0,0,0,0,0,0,0,0,0,0,0,24567,0,0,0,0,0,
24569,0,0,0,24574,0,24575,0,0,0,0,0,0,0,0,0,0,0,24577,24581,0,24584,0,0,
0,0,0,24585,0,0,0,0,0,24586,0,0,24587,0,24588,0,0,0,0,0,0,0,0,0,0,
24590,24591,0,0,0,0,24592,0,0,0,0,0,0,0,24594,0,0,0,0,0,0,0,24596,24597,
0,0,0,0,24602,24603,0,0,0,0,24604,0,0,24605,0,24610,0,0,24611,0,0,0,0,
24612,24615,24616,24624,0,0,0,24627,0,24638,24639,0,0,0,0,24640,0,0,0,24655,
24656,24657,0,0,0,0,0,0,0,0,24662,0,24663,24664,0,0,0,0,0,24665,0,0,0,0,
24667,0,0,0,0,0,0,24668,24669,0,24670,24674,0,0,0,24675,0,24678,0,0,24679,
0,0,0,24681,0,24683,0,0,0,0,24684,0,24685,0,0,24686,0,0,24688,24689,0,0,
0,0,24690,24691,0,0,0,0,0,0,0,24697,0,24698,0,0,0,0,0,0,0,0,24709,0,0,
0,0,0,24710,0,24712,0,0,0,0,0,0,24713,24714,0,24715,0,24716,24718,0,24719,
0,0,0,0,24720,0,0,24725,0,0,24738,0,24749,24750,0,0,0,24752,0,0,0,24753,
0,0,0,24758,0,0,0,0,0,24762,0,24763,0,0,0,0,0,0,0,24764,0,0,0,0,0,
24765,24767,24768,0,24772,0,0,0,0,24773,0,0,0,0,24777,0,0,0,0,0,24785,0,
24786,24788,0,0,0,24789,0,0,0,0,24794,24798,0,24799,24800,0,0,0,24803,0,
24804,24806,0,24807,0,0,0,24810,0,0,0,0,0,0,24827,24828,0,24835,0,0,0,0,
0,0,24836,0,0,0,0,0,24839,0,24843,24844,0,0,0,0,0,0,0,0,0,0,24847,0,0,
24848,0,0,0,0,0,0,24849,0,24850,24851,0,0,0,24852,0,24853,0,0,0,0,0,0,0,
0,0,24854,0,24855,0,0,24868,0,0,0,24883,0,0,0,24884,0,24895,24897,0,0,0,
0,0,24899,0,0,0,0,0,24900,0,24913,0,0,0,0,0,0,24914,0,0,24917,24930,
24931,0,0,0,24932,0,0,24939,0,0,24942,0,0,0,0,0,0,0,0,0,24945,24950,0,
24951,0,0,24953,0,0,0,24954,0,24959,0,0,0,24961,0,0,24962,0,24964,24968,
24970,24972,0,0,0,0,0,24976,0,0,0,24977,0,24982,0,0,24983,0,0,24984,0,0,
0,24993,0,0,0,24994,0,0,25001,0,0,0,25003,0,0,25018,0,0,25023,0,0,0,
25034,0,0,25035,25036,0,25037,0,0,0,0,0,0,0,25039,0,0,0,0,0,25040,0,0,0,
0,0,0,0,25042,0,0,25043,25045,0,0,0,0,0,0,25049,0,0,25051,0,25052,25053,
0,0,25054,0,0,0,25055,0,0,0,0,25057,25059,0,0,25060,25064,0,25065,25069,
25070,0,0,0,0,25072,0,25073,0,25090,0,0,25092,25093,25101,0,0,0,0,0,0,
25105,25108,0,0,25113,0,0,25115,25116,0,0,0,0,0,0,25117,0,0,0,25120,25121,
0,0,0,0,0,0,0,25125,0,0,0,25126,0,25130,25134,0,25139,0,25143,0,0,0,
25151,0,25161,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,25163,0,0,0,0,0,
0,0,25174,0,25175,0,25207,0,0,0,25209,0,0,0,0,25213,0,25219,0,25223,0,
25225,0,0,0,25227,0,0,0,25228,0,0,0,25229,0,0,0,0,0,0,0,25231,25233,0,0,
0,0,25237,25239,0,0,0,25243,0,0,0,25252,0,25257,25258,0,0,0,0,25260,25265,
0,25268,0,0,25273,25324,0,25325,0,25326,0,0,0,0,0,0,0,0,25327,0,0,0,0,0,
25328,0,0,0,0,0,0,25332,0,0,0,25333,0,0,0,25336,25337,25338,0,0,25343,0,
25350,0,0,0,0,0,0,0,25352,0,25354,0,25375,0,25379,0,0,0,0,25384,0,0,0,0,
0,0,0,0,0,25386,0,25388,0,25390,0,0,25399,0,0,25401,0,0,0,25402,0,0,0,
25407,0,0,0,0,0,0,0,0,0,0,0,25413,25415,0,0,25417,0,0,0,0,0,0,0,25419,
0,0,0,25421,0,0,0,25424,0,0,0,0,25433,0,0,0,0,0,0,0,0,0,25435,0,0,0,
0,0,0,25436,0,0,0,25437,0,0,25440,0,0,0,0,0,0,25442,0,0,25443,0,25446,0,
0,25449,0,0,0,25450,0,0,0,0,25452,0,25453,25454,25455,0,0,0,25456,0,25457,
0,0,0,25459,0,25461,0,25468,0,0,0,0,0,0,0,0,25469,0,0,0,0,0,25471,0,0,
0,0,0,25474,0,0,0,0,0,0,0,0,25475,0,0,0,0,25477,0,0,0,0,25483,0,0,0,
0,0,25484,0,0,0,0,0,0,0,0,0,0,0,0,25485,0,25497,0,0,25498,0,25504,0,
25510,0,25512,0,0,25513,25514,0,0,0,0,0,0,25517,25518,25519,0,25520,0,0,0,
0,0,0,0,25521,0,25522,25527,25534,0,25536,0,25537,0,0,25548,25550,0,0,25551,
0,25552,0,0,0,0,0,25554,0,25555,0,25556,25557,25568,0,0,0,25570,25571,0,0,
0,0,0,0,25574,0,0,0,0,25579,0,0,0,25581,0,0,0,25582,0,0,0,0,0,0,0,0,
0,25588,0,0,0,0,25589,0,0,0,0,25590,0,25591,25592,25593,0,25594,0,0,0,
25596,0,25597,25615,0,0,0,0,0,25618,0,0,0,0,25619,25623,0,0,25629,0,0,
25631,0,0,0,25635,25636,0,0,25649,0,0,0,0,25654,0,0,0,25661,25663,0,0,
25671,0,0,25678,25698,0,25699,25702,25703,0,0,0,0,0,0,0,0,25704,0,0,0,0,
0,25706,0,0,25710,0,25711,0,25712,0,25715,25716,25717,0,0,25718,25728,25732,
0,0,0,25734,0,0,0,0,0,0,0,0,0,25737,0,0,25739,0,0,0,25740,0,25741,25745,
0,25746,0,25748,25772,25778,0,0,0,0,0,25780,0,0,0,0,25781,0,25782,25784,
25785,0,0,0,25789,0,0,0,0,0,0,25797,25801,0,0,0,25808,25809,0,0,25811,
25814,25815,0,0,25817,0,0,0,0,0,0,0,0,25820,0,0,0,0,25832,25833,0,0,0,
25846,0,0,0,25847,25848,0,0,0,0,0,0,0,0,0,25849,25850,0,0,25851,0,0,
25852,0,25862,0,0,0,25863,25865,0,0,0,0,0,0,0,25867,25868,0,25869,25874,0,
25875,0,25876,25877,0,0,0,0,25878,25902,0,0,0,0,0,0,0,25903,25904,25905,0,
0,0,25908,25909,0,0,0,0,25910,0,0,0,0,0,0,0,25912,0,25913,0,0,0,0,0,0,
0,0,25914,0,0,25916,0,0,0,0,0,25917,25927,0,0,0,0,25928,0,0,25930,0,0,0,
25933,0,0,25938,25942,0,0,0,0,0,0,0,25945,0,25950,0,25956,0,0,25961,25962,
0,0,25963,0,25964,25965,25966,0,0,0,0,0,25967,0,0,0,0,25968,0,0,0,25969,
25971,0,0,0,0,0,25973,25975,0,0,0,0,0,0,0,25978,0,25981,0,0,0,25982,0,0,
0,25984,0,0,0,0,0,0,0,25993,0,0,0,0,0,0,0,0,0,0,0,0,0,26002,0,0,0,
26005,0,0,0,26006,26007,0,0,26014,26015,26016,0,0,0,0,0,0,26017,26018,26020,
0,26022,26023,0,0,0,26024,26028,0,26029,26033,26034,26044,0,0,0,0,0,26046,0,
0,26047,0,0,26049,0,26050,0,26051,0,0,0,0,0,26053,0,0,0,0,26054,26059,0,
0,0,0,0,0,26060,0,26066,0,0,0,0,0,0,0,0,0,0,0,0,26067,0,26069,0,0,
26071,0,0,0,26073,0,26074,26077,0,0,0,0,26078,0,0,0,26079,0,26090,0,0,
26094,0,0,0,0,0,0,0,0,26095,0,0,0,0,0,0,0,0,0,0,0,26096,26101,0,26107,
26122,0,26124,0,0,26125,0,0,0,0,0,0,26136,26141,26155,0,0,0,0,0,0,0,0,0,
26164,26166,0,0,0,26167,0,26170,26171,0,0,26172,0,0,26174,0,0,0,0,0,0,0,
0,0,0,0,0,0,26175,0,0,0,26176,26177,0,26321,26322,0,26323,0,0,26324,0,0,
0,0,0,0,0,26325,0,26331,0,0,0,0,0,0,26335,0,0,0,26350,0,0,0,26379,0,0,
26382,26383,26385,0,0,26392,26406,0,0,0,0,26411,0,0,0,0,0,26412,0,0,26420,
0,0,26423,0,26424,26426,26432,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26435,0,
26436,0,0,0,0,0,26441,0,26444,0,0,0,26446,0,0,0,0,26447,0,0,0,0,26449,0,
26450,26452,0,26453,26454,0,0,0,26455,0,0,0,26456,0,0,26458,0,0,26460,0,
26463,0,0,0,0,0,0,0,0,26464,26470,0,0,0,0,0,0,0,0,0,26473,0,0,26474,0,
0,0,0,0,0,0,26475,0,0,0,0,0,0,0,26477,0,26485,0,0,26486,0,26487,0,0,
26488,26493,26494,0,0,26495,0,26497,26504,26506,0,0,0,0,0,26507,0,0,0,0,0,
26509,0,0,26510,0,0,0,0,0,0,0,0,0,0,0,0,0,26512,0,26513,26515,0,0,0,
26518,0,0,0,26519,0,26524,26526,0,0,0,26527,0,26532,0,26533,26537,26558,0,0,
0,26559,0,0,0,26571,0,0,26573,0,26588,0,26593,0,0,0,0,0,0,26603,0,26604,
0,0,0,0,0,0,0,0,0,0,26606,0,0,0,0,0,0,0,26607,26609,26611,26614,0,0,0,
26616,26620,0,26621,0,0,0,0,0,26627,0,26629,0,0,26630,0,0,26632,26643,0,0,
0,26644,0,0,0,0,0,0,0,0,0,26646,26647,0,0,0,26650,0,0,26656,0,0,0,0,
26663,26670,26671,0,0,0,26685,26686,26687,0,26689,0,0,0,0,26744,0,26745,0,
26747,26748,0,26749,26750,26751,0,0,0,0,26752,26755,0,0,0,26756,26769,0,0,0,
26774,0,0,0,0,0,26775,0,26777,26778,0,26786,0,0,0,26787,0,0,0,0,0,0,0,0,
0,0,0,0,0,26788,0,0,26789,0,0,0,0,0,26791,0,26792,26793,0,0,0,26794,0,
26797,26798,0,0,0,26800,0,0,26803,0,26804,0,0,0,0,0,0,0,0,0,26805,0,0,
26808,0,0,26809,0,0,0,0,0,0,0,26812,0,26825,0,0,0,0,0,0,0,26826,0,0,
26827,26829,26834,0,0,0,0,26835,0,0,26849,0,26851,0,0,0,0,0,0,0,0,0,
26852,0,26853,26857,0,26858,0,26859,0,0,0,0,0,0,0,26876,0,26878,26882,26883,
0,0,0,0,26890,26894,0,0,0,0,26895,26896,0,0,0,0,0,26900,0,0,0,0,0,0,0,
26911,26913,26914,26915,26916,26919,0,0,0,26921,26922,0,0,26925,0,0,0,26928,
0,0,26929,26930,0,0,0,26931,0,26932,0,0,0,0,0,26933,0,0,0,0,0,0,26937,0,
0,26943,0,0,26944,0,0,0,26946,0,0,0,0,0,0,0,26956,0,26958,0,0,26963,0,0,
0,0,0,0,0,26965,0,26969,26970,26972,0,0,0,0,0,26973,0,26974,0,26978,0,
26980,0,0,0,0,0,0,26982,0,26986,26987,0,26990,0,0,0,0,27003,27006,0,0,
27007,27010,27012,27013,0,0,0,0,0,0,0,0,27014,27015,27018,0,27019,0,0,0,0,
0,27025,0,0,0,27026,0,0,0,0,27029,27030,27031,27034,0,0,27036,27037,0,0,0,
27038,27042,0,0,0,27044,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27045,0,0,0,0,0,
0,0,27046,0,0,0,0,0,0,0,27047,27049,0,27050,0,0,0,27051,27052,0,27055,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27056,27058,27059,0,27061,0,27064,
0,0,0,0,0,27069,0,0,27070,0,0,0,0,0,0,0,27072,0,0,0,0,0,0,0,0,27076,
0,0,0,0,0,27078,0,27079,0,0,0,27081,0,0,0,0,0,0,27082,0,27083,27086,0,0,
0,0,27087,0,0,0,0,0,27088,27090,0,27094,0,0,27095,0,27099,27102,0,0,0,
27103,0,0,0,0,27105,0,0,0,27106,0,0,0,0,0,0,27107,0,0,0,0,27108,27117,0,
0,0,0,27118,0,0,27124,0,27126,0,0,27130,27131,0,0,0,0,0,0,27147,0,0,0,0,
27148,27149,0,0,0,0,27150,27151,0,27152,0,27159,0,0,0,27164,0,0,0,0,0,0,
0,27175,0,27189,0,0,27191,0,27193,0,27195,0,27198,0,0,0,0,0,27200,0,0,0,
0,27202,0,0,0,0,27203,0,0,27204,0,0,27206,0,27207,0,0,0,0,27209,0,0,0,
27213,0,0,27216,27219,27220,27222,27223,0,27224,0,27225,27226,0,0,27233,0,0,
0,0,27235,0,27237,0,27238,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27239,0,27242,
27243,0,27250,0,0,0,27251,0,27253,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,27254,27255,27258,0,0,0,27259,0,0,0,0,0,0,27267,0,27276,27278,0,
0,0,0,0,0,0,0,0,27296,27297,27301,0,0,0,0,0,0,27302,0,0,0,0,0,0,27312,
27313,0,0,0,0,0,27318,0,27320,0,27329,0,27330,27331,0,27332,0,0,0,0,27340,
0,0,0,27348,0,0,0,0,0,0,27350,0,27351,0,0,0,0,27355,0,0,27358,27359,
27361,0,0,0,27365,0,27367,0,27376,27378,0,0,27379,0,0,0,0,0,0,27396,0,
27397,27404,0,0,0,0,0,27408,0,0,0,0,27453,0,0,0,27456,0,0,0,27458,0,0,0,
0,0,0,0,27459,0,0,0,27460,0,0,27461,0,27465,27467,0,0,27469,0,27470,0,
27471,0,27477,27482,0,0,0,0,0,0,27484,0,0,0,0,0,0,27485,0,0,0,0,0,27493,
0,27494,27502,0,0,0,0,0,0,0,0,0,0,0,0,27511,27532,0,0,0,27533,27545,0,0,
0,27546,0,0,0,0,0,0,0,0,0,0,27547,0,0,27549,27550,0,27551,0,0,0,0,0,0,
0,27555,0,0,27571,0,27573,27574,27575,27577,0,27578,0,0,27579,27585,0,0,0,0,
0,27586,0,0,27588,27589,0,0,0,0,27596,0,0,27600,0,0,0,0,0,0,0,0,0,0,0,
27608,0,0,0,0,0,0,0,0,0,0,0,27610,0,0,0,27618,0,0,27620,0,0,0,27631,0,
0,27632,27634,0,27636,27638,0,0,0,27643,0,27644,27649,0,0,0,0,0,0,0,0,0,
0,0,0,0,27651,27660,0,27661,0,0,0,0,0,0,0,27662,0,0,27664,0,27665,0,0,0,
27669,0,27671,0,0,0,27673,27674,0,0,0,27682,0,0,0,27711,0,27712,27713,27719,
27720,0,0,27728,0,27729,0,0,0,0,0,0,0,0,0,27731,0,0,27732,0,27733,0,
27738,0,0,0,27742,0,0,0,27743,27744,0,0,0,0,0,0,27745,27746,0,0,0,27747,
27748,27751,27752,0,0,0,27768,27770,0,0,0,27774,27775,0,27776,27777,0,0,
27781,0,27784,0,27786,0,0,27791,0,27792,27793,27804,0,27812,27813,0,0,0,0,0,
0,0,0,27814,0,27825,0,27827,0,0,0,0,27828,27861,27862,0,0,0,27864,0,0,0,
27865,27884,0,27889,0,0,0,0,0,27890,0,27891,0,0,0,27892,0,0,0,0,0,27897,
27898,0,0,27899,0,0,0,27901,27905,0,0,27920,0,0,27921,0,27922,0,0,0,27931,
27934,0,0,0,0,0,0,0,0,0,0,27941,0,27942,0,27945,0,27947,27954,0,0,0,0,
27960,27963,0,0,0,0,0,0,0,0,27964,27965,0,0,0,27967,0,27969,27975,0,27976,
27977,0,27981,0,27983,28051,28052,0,0,0,0,0,28056,0,0,0,0,0,0,28058,28059,
0,0,28061,0,0,0,0,0,0,0,28063,0,0,0,0,0,0,28066,0,0,0,0,0,0,28069,
28070,28072,0,28073,0,0,28074,0,0,0,0,28075,0,0,0,0,0,0,0,28078,0,0,0,0,
28085,0,0,0,0,28086,0,0,0,0,0,0,28088,0,0,0,0,0,0,0,0,28090,0,28097,
28114,28115,0,0,0,0,0,0,0,28116,0,0,0,0,0,28118,0,28129,0,28131,0,0,
28135,0,0,0,28140,28141,0,0,0,28146,0,0,0,0,28152,0,0,0,0,28155,28157,
28161,0,0,0,0,28166,0,28167,0,0,0,0,0,0,0,0,0,0,0,28172,0,0,0,0,0,0,
28173,0,0,28175,0,0,0,0,0,0,0,0,0,28178,28188,0,28190,0,0,0,0,0,28191,0,
28193,28206,0,0,28207,28209,0,28211,0,28213,0,0,0,28215,28216,28217,0,28222,
0,28223,28225,0,0,0,28226,0,28227,28229,28232,0,0,0,0,0,0,0,0,0,28235,0,
28241,0,0,28242,0,0,0,0,28243,0,0,0,28245,0,0,0,28248,28250,0,28251,28252,
0,0,0,0,0,0,28253,0,0,28254,28255,0,0,28256,0,0,28258,0,0,0,0,0,28259,0,
0,28260,0,0,28261,0,0,0,0,28262,28263,0,0,28264,0,0,0,28266,0,28268,28269,
0,28270,28272,28274,0,28277,28278,0,0,0,28279,0,28280,28281,28283,0,28292,0,
28294,0,28297,0,0,0,0,28299,0,0,0,0,0,28300,0,0,0,0,0,0,0,28301,0,0,0,
0,0,0,0,0,0,0,0,0,0,28302,28303,0,0,0,0,28304,0,0,28305,0,28312,0,28313,
28314,0,0,0,0,0,0,28315,0,0,0,28320,28321,0,0,28328,0,0,0,28329,28338,0,
28339,0,0,28344,0,0,0,0,0,0,0,0,28347,0,0,0,0,0,0,0,0,28348,0,0,0,0,
0,28411,0,28412,28413,0,28416,0,0,0,28420,0,0,0,0,0,28421,0,0,0,0,28423,
0,0,0,28424,0,0,28428,0,0,0,0,0,28429,0,0,0,28431,28434,0,28458,0,0,0,0,
0,0,0,0,0,0,0,28464,0,0,0,0,28465,0,28467,0,0,0,0,0,0,28471,0,0,0,0,
28474,0,28480,0,28481,0,0,28485,0,0,0,0,28486,28488,0,0,28489,0,0,0,0,
28492,0,0,0,28495,0,28497,0,28499,0,0,0,0,28500,0,0,28502,28503,0,0,0,
28508,0,0,0,28510,0,0,28512,28513,28514,28521,0,28526,0,28527,28528,0,0,0,0,
28529,0,0,28532,0,0,28537,28538,0,0,0,28539,0,28548,0,28553,28554,0,0,0,0,
0,0,0,0,0,0,0,0,28560,28563,0,0,28564,0,0,0,0,28565,0,0,0,0,0,0,0,
28566,28568,0,0,0,0,0,0,28569,0,0,0,28570,0,28572,28573,0,0,0,0,28575,0,
0,0,0,28576,28581,28588,0,0,28589,0,0,0,28590,28595,0,28598,0,0,28601,0,0,
28605,0,0,0,0,28614,28615,28619,0,0,0,0,0,0,28620,0,28626,0,0,28628,0,
28631,0,28632,0,0,0,0,0,0,28635,0,0,0,28637,28638,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,28639,0,28643,0,0,28652,0,0,0,28662,0,28670,28671,
0,0,0,0,0,0,0,0,0,28672,28673,28675,28676,0,0,0,0,0,0,0,28691,0,0,0,
28695,0,0,0,28696,0,28697,28698,0,28705,0,28707,28708,28710,0,0,0,0,0,0,0,
28711,28728,0,0,0,28736,0,0,0,28737,0,0,0,0,0,0,0,0,0,28738,0,28739,0,
28741,0,0,28742,0,0,0,0,0,0,0,0,0,0,0,28745,0,0,0,0,0,0,28749,28750,
28752,28754,28756,0,28757,0,0,0,0,28759,28760,0,0,0,0,0,0,28762,0,0,0,
28764,0,0,0,0,0,0,28766,0,28767,28768,0,0,0,0,28769,28770,0,0,0,0,0,0,0,
0,0,0,0,0,0,28771,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,28772,0,28773,0,
28782,0,0,0,0,0,0,28784,0,28785,0,28786,0,0,0,28787,0,0,0,28797,0,0,0,0,
0,0,28799,0,0,28801,0,0,0,0,28802,0,28805,0,0,28806,0,0,28807,0,0,0,0,0,
0,0,28808,0,0,0,0,0,28810,28812,0,0,28816,28819,0,0,28821,0,28826,0,0,0,
28842,28852,0,0,28853,0,28854,28855,0,0,0,28857,0,0,0,28858,0,28867,28868,
28869,0,0,0,28874,28880,28882,28890,28892,0,0,0,0,0,0,0,28895,0,0,0,28898,
28899,0,0,0,28900,0,0,28904,0,28906,0,0,0,0,28907,0,0,0,0,0,0,28908,0,0,
0,28910,0,28914,0,0,0,0,0,0,0,28915,28916,28919,0,0,28920,0,28921,0,0,0,
0,0,0,0,0,28924,0,0,0,0,28926,28929,0,0,0,28930,0,28936,0,28939,0,0,0,0,
28942,0,0,0,0,0,0,28956,0,0,0,28966,0,0,0,0,28967,0,0,0,0,0,0,0,0,0,
28968,0,28971,0,28975,28976,0,28982,28983,0,0,28984,28989,28996,28997,28998,0,
0,0,0,0,0,28999,0,0,0,0,0,29000,0,29001,0,0,0,29009,0,0,29011,0,0,29021,
0,0,0,0,29024,0,29025,0,0,0,0,0,29026,0,0,0,29036,0,0,0,29037,0,0,0,0,
29038,0,29045,0,29047,0,0,0,0,0,0,0,0,0,29051,0,0,0,29054,29056,29062,0,
29070,29082,0,0,0,29083,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,29084,0,0,0,
0,29085,29088,0,0,0,0,0,0,0,29090,29097,0,0,0,29103,0,0,0,0,0,0,0,0,
29105,0,0,0,0,0,29107,0,29109,0,0,0,29115,0,0,29120,0,0,29138,29140,0,0,
0,0,0,0,0,0,0,29152,0,29160,29174,0,29176,0,0,29180,0,29181,0,0,0,0,0,0,
0,0,29228,0,0,29229,0,0,29230,0,0,0,0,0,0,0,0,0,0,29234,0,0,0,29241,0,
29245,0,29248,0,29250,29256,29280,0,29282,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
29285,0,0,29286,29291,29292,0,0,0,0,29294,0,29295,0,0,0,0,0,29296,29297,
29298,29300,0,29302,0,0,29304,29307,0,29312,0,0,0,29322,0,0,29323,0,0,29324,
29326,29328,0,29335,0,0,0,0,0,0,0,29338,29339,0,0,0,0,0,29341,29343,0,0,
0,0,29344,0,0,0,0,0,29345,0,0,0,0,29346,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,29347,29348,29349,0,0,29354,0,0,29355,0,0,0,0,0,0,0,0,29357,0,0,0,0,
29364,0,29365,0,0,0,0,0,0,0,29366,0,0,29368,0,0,0,0,0,0,0,0,29378,0,
29381,0,0,0,0,0,0,0,0,29386,0,0,0,0,0,0,29389,0,0,0,29390,0,0,29391,
29397,0,29398,29412,29414,29418,29419,0,0,0,0,0,0,0,29420,0,0,0,0,0,0,0,
29423,0,0,0,29435,0,0,0,29437,0,0,29439,0,29441,0,0,0,0,29443,0,29446,
29450,29452,0,0,0,0,0,29456,0,0,0,0,0,29461,0,0,0,29464,0,0,0,0,0,0,0,
0,29468,0,29473,0,0,0,29486,0,0,0,29490,0,0,0,29491,29492,0,0,29497,0,0,
0,29498,0,29499,0,29502,29505,0,29509,0,0,0,29510,0,0,0,29512,0,0,0,29516,
0,0,0,0,0,0,0,0,29518,0,29519,0,0,0,0,0,29520,29521,29529,0,0,0,0,0,0,
0,0,29530,0,0,29531,29538,0,29540,0,0,0,29542,0,29543,29544,29547,0,0,29548,
0,0,0,29549,0,0,0,29550,0,0,29552,0,0,0,0,29558,29561,0,29562,29564,0,0,
29565,0,0,29566,0,0,0,0,0,0,0,0,0,0,29578,29584,29586,29591,0,0,0,0,
29593,29594,0,0,29597,0,0,29613,0,29614,0,29615,0,0,0,0,29616,29617,0,0,
29625,0,0,0,29632,0,0,0,0,0,0,0,29633,0,0,0,0,0,29634,29635,29637,0,
29638,0,29641,29643,0,0,0,0,0,0,29644,0,29645,0,29649,0,0,0,29650,0,29653,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,29656,29659,0,0,29660,0,0,0,29661,0,0,0,
0,0,29664,0,0,0,29671,29673,0,0,0,0,0,0,0,29675,0,29677,29679,0,0,29684,
0,0,0,0,0,29685,0,0,0,29687,0,0,0,29688,0,29689,29690,29700,0,29701,0,0,
0,29702,0,29706,0,0,0,0,0,0,0,29720,0,29721,0,29727,0,29733,29734,0,29750,
29761,0,29763,0,0,0,0,0,29764,0,0,29765,0,0,0,29771,0,0,0,0,0,0,0,0,0,
0,0,0,29772,0,0,0,29773,29774,29775,0,0,0,0,0,0,0,0,0,0,0,29822,0,0,0,
29824,0,29825,0,0,0,0,0,29827,0,0,0,0,0,0,0,0,29829,0,29832,29834,0,0,
29835,0,0,29837,29838,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,29843,0,0,
0,0,29844,29845,0,0,0,0,0,0,0,0,0,29849,0,0,29869,29872,29890,29905,0,0,
0,0,0,29907,29921,0,29922,0,0,29923,29926,29944,29946,0,0,0,0,0,0,0,29947,
29948,0,0,0,29951,0,0,0,0,0,29953,0,0,29956,0,29957,0,0,29962,0,0,0,0,
29971,0,0,0,29972,0,0,0,0,0,29978,0,29979,29992,30007,30008,30010,0,0,0,
30013,0,0,0,0,30014,30016,0,0,0,0,0,0,0,0,0,0,0,30017,0,0,0,0,0,30023,
30031,0,0,30033,0,0,0,0,0,0,0,0,0,0,30034,0,30038,0,30039,0,30040,0,0,0,
0,0,0,30067,30068,0,0,0,30069,0,30072,0,0,0,30073,0,0,0,0,30075,0,0,0,0,
0,0,30079,0,0,30080,0,0,0,0,0,30082,0,0,0,0,0,0,0,0,0,0,0,30084,30090,
0,0,30091,0,0,0,0,30098,30118,0,30119,0,30121,30130,0,0,0,0,0,0,0,0,0,0,
0,0,0,30131,30132,30133,0,0,0,0,0,0,30135,0,0,0,0,0,0,0,0,0,0,0,30136,
0,0,30137,30138,0,0,0,30139,30146,0,0,0,0,0,30147,0,0,30148,30151,0,0,0,
30168,0,30172,30173,0,0,0,0,0,0,0,0,30180,30181,0,30192,0,0,0,0,0,0,0,
30194,30196,0,0,30199,0,0,30202,0,0,0,0,30203,0,0,0,0,0,0,0,0,0,0,30213,
0,0,0,30216,0,0,30217,0,0,0,30218,0,0,0,0,30219,0,30220,0,30222,30227,0,
0,0,0,0,30231,0,0,30233,30235,0,0,0,0,30238,0,30240,30243,30245,0,30250,
30252,0,0,0,30269,0,0,30271,30272,0,0,0,30278,30280,0,0,30282,0,30284,0,
30294,0,0,0,0,30295,30296,0,0,0,0,0,30298,30299,30302,30304,30306,0,0,0,0,
0,0,30316,30317,0,0,0,30318,0,0,0,30319,0,30320,30322,30326,0,0,0,0,0,
30327,0,30332,30348,30349,0,0,30356,0,0,0,0,0,0,0,0,30357,0,30358,0,30359,
30360,0,0,30365,30366,30378,0,0,0,0,30379,0,0,30381,0,30385,0,30388,30397,0,
0,0,30401,0,0,0,0,30403,0,0,0,0,0,30404,0,0,30405,0,30406,30408,0,30409,
0,30410,0,0,0,30417,0,0,30418,30419,0,30420,0,30424,0,0,0,30427,30430,30432,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,30433,0,0,0,0,0,0,0,30436,0,
30437,30438,0,30441,30442,0,0,0,30445,0,0,0,0,30452,30456,30457,0,0,0,30458,
0,30464,0,0,0,0,0,0,30467,0,30469,0,0,0,0,0,30477,0,0,30484,0,0,0,0,0,
30485,0,0,0,0,0,30486,30487,30497,30498,0,0,0,0,0,0,0,0,0,0,30505,0,
30508,0,0,0,30509,30510,0,30514,30516,0,0,0,0,0,0,0,0,0,0,0,30523,0,
30524,0,30525,0,0,0,0,30537,0,0,30538,0,0,0,0,0,30553,0,0,30555,30556,
30558,30559,30560,0,0,30561,0,30562,0,0,0,0,0,0,0,0,30563,30570,30571,0,
30586,30587,0,0,30590,0,0,30594,0,0,0,0,30611,30612,30623,30634,0,0,30636,
30640,30655,30656,0,30657,0,0,30658,30669,0,30670,0,30676,30678,0,0,0,0,0,0,
0,30679,0,0,0,0,0,0,0,0,0,0,0,30695,0,0,30698,0,0,0,0,30700,0,0,0,0,
30701,0,30702,30703,0,0,0,0,30707,0,0,0,30709,0,0,30710,30719,30729,0,0,0,
0,0,0,0,0,0,30731,0,0,30733,0,0,0,30734,0,0,0,0,0,30736,30737,0,0,0,
30740,0,0,0,30743,0,30746,0,30747,30748,0,0,30751,30752,30753,0,0,0,30754,0,
0,30760,0,0,0,0,0,0,0,30763,0,30764,0,0,30766,0,30769,30770,30771,30774,
30777,0,0,30779,30780,30781,0,0,0,0,30790,0,0,0,30792,0,0,0,0,30810,0,0,
0,0,0,0,0,30812,30819,0,0,30823,30824,0,30825,0,30827,0,0,0,0,0,0,30828,
0,0,30830,0,0,0,30834,0,30835,0,30837,30838,0,30845,0,0,0,0,0,30846,30847,
0,0,30849,0,30851,0,0,0,0,0,30852,30858,0,0,30859,0,30865,0,0,30866,0,0,
30868,0,0,30869,0,0,0,30881,30883,0,0,0,0,0,30889,0,30891,0,0,0,0,30894,
0,30895,0,30897,0,30898,0,0,0,30904,30906,0,30909,0,0,0,0,0,0,30910,0,0,
0,30915,30933,30942,0,0,0,0,30943,0,0,30945,0,0,0,0,0,0,30946,0,0,30947,
0,0,30955,30956,0,0,30960,0,0,30961,30962,30966,0,0,30969,30974,0,0,0,30976,
0,0,30977,0,30978,30982,0,0,0,0,0,0,0,30994,30995,30998,0,31000,0,0,31001,
0,0,31003,31005,0,0,31006,31011,0,0,31014,0,31016,0,0,0,0,31018,0,0,31020,
31023,31024,31025,0,0,0,0,0,0,0,0,0,0,0,0,0,0,31027,31028,31029,0,0,0,0,
0,0,31032,0,0,0,0,0,0,0,0,0,0,0,31036,31037,31038,0,0,0,31041,31043,
31045,0,31047,0,0,0,31048,0,31049,0,0,0,31053,31054,31055,0,0,31063,0,0,0,
0,0,31066,0,31068,31071,0,0,0,31072,31073,0,0,0,0,31075,0,0,31076,0,0,0,
31077,31079,0,31080,0,0,0,0,0,0,0,0,0,0,31087,0,31142,0,31144,0,0,31145,
31146,31147,0,0,0,0,0,0,0,0,0,0,0,0,0,0,31149,0,31151,31152,0,0,0,0,0,
0,0,31162,31171,31174,31175,0,0,0,31176,0,0,0,0,0,0,0,31179,0,0,0,31186,
0,0,0,31192,31195,0,0,31196,0,0,0,0,0,0,0,0,31198,0,0,0,0,0,31199,0,0,
0,31205,0,0,0,0,31211,31215,0,0,0,0,31231,0,31232,0,0,0,0,0,0,0,0,0,0,
31233,31236,31253,0,31254,0,0,0,0,0,0,31255,0,0,31257,0,0,0,0,0,0,0,0,0,
31258,31259,0,0,31260,0,31261,0,0,0,0,0,31262,31263,0,0,31264,0,31266,0,
31267,0,0,0,0,0,31281,0,31282,0,31284,0,0,31285,31287,31288,0,0,31290,0,0,
0,31292,31295,0,31299,0,31300,0,0,0,0,0,31302,0,0,0,0,31303,0,0,0,0,0,0,
31304,0,0,0,0,0,31305,31308,31309,31315,0,31317,0,0,0,0,0,31323,0,31324,0,
0,0,0,0,31325,31327,0,0,31331,0,0,0,0,0,31333,0,0,0,0,0,31336,0,0,31337,
0,0,0,0,0,0,31338,0,0,0,0,0,0,0,0,0,0,0,0,31339,0,0,0,0,0,0,0,31342,
0,0,0,0,31345,0,0,0,0,0,0,0,0,31347,0,0,0,0,0,0,31348,0,0,31350,31351,
0,31352,0,0,31354,0,0,0,0,31355,0,0,31356,0,0,0,0,0,0,0,0,0,0,31363,0,
31372,0,0,31373,0,0,0,0,0,0,0,0,0,31376,0,31388,0,31389,0,31392,0,31401,
0,31405,31407,31408,0,31409,0,0,0,0,0,0,31413,31415,0,0,0,31416,31418,0,0,
0,0,0,0,31422,31423,0,0,31424,0,31425,31432,0,0,0,0,0,0,0,0,0,31433,0,0,
0,0,0,0,0,0,31434,0,0,0,0,0,0,31435,0,0,0,0,31438,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,31442,0,31444,0,31448,0,0,31451,0,0,0,0,31452,0,31461,
31465,0,0,31466,0,0,31467,0,0,31468,0,0,0,31469,31473,0,31476,0,0,0,0,
31489,31490,0,0,0,0,0,0,0,31492,31493,31494,0,0,0,0,31501,31504,31505,0,0,
0,0,0,0,0,0,0,31509,0,0,0,0,31510,0,0,31511,0,0,31513,0,0,0,0,0,0,0,
0,0,31514,0,31522,31536,31539,31540,0,31541,0,0,0,0,0,0,31546,31553,31559,0,
0,0,31560,31561,31562,0,0,31564,31567,0,31569,0,0,0,31570,0,0,0,0,31571,0,
0,0,0,0,0,31572,31574,31580,31581,0,0,31582,31584,31585,31586,31595,0,31596,
0,0,0,0,31597,0,31599,0,31600,31601,0,0,31603,31604,0,0,31608,31610,0,0,0,
31611,0,31615,0,0,0,0,31616,0,0,0,0,0,0,31617,0,0,0,0,0,31618,0,0,0,0,
0,0,31621,0,0,0,0,0,0,0,0,0,31622,31625,0,0,0,0,31627,0,31641,0,0,31642,
0,0,31643,0,0,0,0,0,0,0,0,0,31644,0,31646,0,0,0,0,31648,0,0,0,31652,0,
0,0,31657,0,0,31676,0,0,0,0,0,0,0,31689,31691,31692,0,31694,0,0,0,31696,
0,31702,0,31703,0];
#[derive(Clone,Copy)]
#[repr(C)]
pub struct DictWord {
pub l: u8,
pub t: u8,
pub i: u16,
}
impl DictWord {
#[inline(always)]
pub fn len(self) -> u8 {
self.l
}
#[inline(always)]
pub fn transform(self) -> u8 {
self.t
}
#[inline(always)]
pub fn idx(self) -> u16 {
self.i
}
}
type D=DictWord;
pub static kStaticDictionaryWords: [DictWord; 31705] = [
D{l:0,t:0,i:0},
D{l:8,t:0,i:1002},
D{l:136,t:0,i:1015},
D{l:4,t:0,i:683},
D{l:4,t:10,i:325},
D{l:138,t:10,i:125},
D{l:7,t:11,i:572},
D{l:9,t:11,i:592},
D{l:11,t:11,i:680},
D{l:11,t:11,i:842},
D{l:11,t:11,i:924},
D{l:12,t:11,i:356},
D{l:12,t:11,i:550},
D{l:13,t:11,i:317},
D{l:13,t:11,i:370},
D{l:13,t:11,i:469},
D{l:13,t:11,i:471},
D{l:14,t:11,i:397},
D{l:18,t:11,i:69},
D{l:146,t:11,i:145},
D{l:134,t:0,i:1265},
D{l:136,t:11,i:534},
D{l:134,t:0,i:1431},
D{l:11,t:0,i:138},
D{l:140,t:0,i:40},
D{l:4,t:0,i:155},
D{l:7,t:0,i:1689},
D{l:4,t:10,i:718},
D{l:135,t:10,i:1216},
D{l:4,t:0,i:245},
D{l:5,t:0,i:151},
D{l:5,t:0,i:741},
D{l:6,t:0,i:1147},
D{l:7,t:0,i:498},
D{l:7,t:0,i:870},
D{l:7,t:0,i:1542},
D{l:12,t:0,i:213},
D{l:14,t:0,i:36},
D{l:14,t:0,i:391},
D{l:17,t:0,i:111},
D{l:18,t:0,i:6},
D{l:18,t:0,i:46},
D{l:18,t:0,i:151},
D{l:19,t:0,i:36},
D{l:20,t:0,i:32},
D{l:20,t:0,i:56},
D{l:20,t:0,i:69},
D{l:20,t:0,i:102},
D{l:21,t:0,i:4},
D{l:22,t:0,i:8},
D{l:22,t:0,i:10},
D{l:22,t:0,i:14},
D{l:150,t:0,i:31},
D{l:4,t:0,i:624},
D{l:135,t:0,i:1752},
D{l:5,t:10,i:124},
D{l:5,t:10,i:144},
D{l:6,t:10,i:548},
D{l:7,t:10,i:15},
D{l:7,t:10,i:153},
D{l:137,t:10,i:629},
D{l:6,t:0,i:503},
D{l:9,t:0,i:586},
D{l:13,t:0,i:468},
D{l:14,t:0,i:66},
D{l:16,t:0,i:58},
D{l:7,t:10,i:1531},
D{l:8,t:10,i:416},
D{l:9,t:10,i:275},
D{l:10,t:10,i:100},
D{l:11,t:10,i:658},
D{l:11,t:10,i:979},
D{l:12,t:10,i:86},
D{l:14,t:10,i:207},
D{l:15,t:10,i:20},
D{l:143,t:10,i:25},
D{l:5,t:0,i:603},
D{l:7,t:0,i:1212},
D{l:9,t:0,i:565},
D{l:14,t:0,i:301},
D{l:5,t:10,i:915},
D{l:6,t:10,i:1783},
D{l:7,t:10,i:211},
D{l:7,t:10,i:1353},
D{l:9,t:10,i:83},
D{l:10,t:10,i:376},
D{l:10,t:10,i:431},
D{l:11,t:10,i:543},
D{l:12,t:10,i:664},
D{l:13,t:10,i:280},
D{l:13,t:10,i:428},
D{l:14,t:10,i:128},
D{l:17,t:10,i:52},
D{l:145,t:10,i:81},
D{l:4,t:0,i:492},
D{l:133,t:0,i:451},
D{l:135,t:0,i:835},
D{l:141,t:0,i:70},
D{l:132,t:0,i:539},
D{l:7,t:11,i:748},
D{l:139,t:11,i:700},
D{l:7,t:11,i:1517},
D{l:11,t:11,i:597},
D{l:14,t:11,i:76},
D{l:14,t:11,i:335},
D{l:148,t:11,i:33},
D{l:6,t:0,i:113},
D{l:135,t:0,i:436},
D{l:4,t:10,i:338},
D{l:133,t:10,i:400},
D{l:136,t:0,i:718},
D{l:133,t:11,i:127},
D{l:133,t:11,i:418},
D{l:6,t:0,i:1505},
D{l:7,t:0,i:520},
D{l:6,t:11,i:198},
D{l:11,t:10,i:892},
D{l:140,t:11,i:83},
D{l:4,t:10,i:221},
D{l:5,t:10,i:659},
D{l:5,t:10,i:989},
D{l:7,t:10,i:697},
D{l:7,t:10,i:1211},
D{l:138,t:10,i:284},
D{l:135,t:0,i:1070},
D{l:5,t:11,i:276},
D{l:6,t:11,i:55},
D{l:135,t:11,i:1369},
D{l:134,t:0,i:1515},
D{l:6,t:11,i:1752},
D{l:136,t:11,i:726},
D{l:138,t:10,i:507},
D{l:15,t:0,i:78},
D{l:4,t:10,i:188},
D{l:135,t:10,i:805},
D{l:5,t:10,i:884},
D{l:139,t:10,i:991},
D{l:133,t:11,i:764},
D{l:134,t:10,i:1653},
D{l:6,t:11,i:309},
D{l:7,t:11,i:331},
D{l:138,t:11,i:550},
D{l:135,t:11,i:1861},
D{l:132,t:11,i:348},
D{l:135,t:11,i:986},
D{l:135,t:11,i:1573},
D{l:12,t:0,i:610},
D{l:13,t:0,i:431},
D{l:144,t:0,i:59},
D{l:9,t:11,i:799},
D{l:140,t:10,i:166},
D{l:134,t:0,i:1530},
D{l:132,t:0,i:750},
D{l:132,t:0,i:307},
D{l:133,t:0,i:964},
D{l:6,t:11,i:194},
D{l:7,t:11,i:133},
D{l:10,t:11,i:493},
D{l:10,t:11,i:570},
D{l:139,t:11,i:664},
D{l:5,t:11,i:24},
D{l:5,t:11,i:569},
D{l:6,t:11,i:3},
D{l:6,t:11,i:119},
D{l:6,t:11,i:143},
D{l:6,t:11,i:440},
D{l:7,t:11,i:295},
D{l:7,t:11,i:599},
D{l:7,t:11,i:1686},
D{l:7,t:11,i:1854},
D{l:8,t:11,i:424},
D{l:9,t:11,i:43},
D{l:9,t:11,i:584},
D{l:9,t:11,i:760},
D{l:10,t:11,i:148},
D{l:10,t:11,i:328},
D{l:11,t:11,i:159},
D{l:11,t:11,i:253},
D{l:11,t:11,i:506},
D{l:12,t:11,i:487},
D{l:12,t:11,i:531},
D{l:144,t:11,i:33},
D{l:136,t:10,i:760},
D{l:5,t:11,i:14},
D{l:5,t:11,i:892},
D{l:6,t:11,i:283},
D{l:7,t:11,i:234},
D{l:136,t:11,i:537},
D{l:135,t:11,i:1251},
D{l:4,t:11,i:126},
D{l:8,t:11,i:635},
D{l:147,t:11,i:34},
D{l:4,t:11,i:316},
D{l:135,t:11,i:1561},
D{l:6,t:0,i:999},
D{l:6,t:0,i:1310},
D{l:137,t:11,i:861},
D{l:4,t:11,i:64},
D{l:5,t:11,i:352},
D{l:5,t:11,i:720},
D{l:6,t:11,i:368},
D{l:139,t:11,i:359},
D{l:4,t:0,i:75},
D{l:5,t:0,i:180},
D{l:6,t:0,i:500},
D{l:7,t:0,i:58},
D{l:7,t:0,i:710},
D{l:10,t:0,i:645},
D{l:136,t:10,i:770},
D{l:133,t:0,i:649},
D{l:6,t:0,i:276},
D{l:7,t:0,i:282},
D{l:7,t:0,i:879},
D{l:7,t:0,i:924},
D{l:8,t:0,i:459},
D{l:9,t:0,i:599},
D{l:9,t:0,i:754},
D{l:11,t:0,i:574},
D{l:12,t:0,i:128},
D{l:12,t:0,i:494},
D{l:13,t:0,i:52},
D{l:13,t:0,i:301},
D{l:15,t:0,i:30},
D{l:143,t:0,i:132},
D{l:132,t:0,i:200},
D{l:4,t:10,i:89},
D{l:5,t:10,i:489},
D{l:6,t:10,i:315},
D{l:7,t:10,i:553},
D{l:7,t:10,i:1745},
D{l:138,t:10,i:243},
D{l:135,t:11,i:1050},
D{l:7,t:0,i:1621},
D{l:6,t:10,i:1658},
D{l:9,t:10,i:3},
D{l:10,t:10,i:154},
D{l:11,t:10,i:641},
D{l:13,t:10,i:85},
D{l:13,t:10,i:201},
D{l:141,t:10,i:346},
D{l:6,t:11,i:175},
D{l:137,t:11,i:289},
D{l:5,t:11,i:432},
D{l:133,t:11,i:913},
D{l:6,t:0,i:225},
D{l:137,t:0,i:211},
D{l:7,t:0,i:718},
D{l:8,t:0,i:687},
D{l:139,t:0,i:374},
D{l:4,t:10,i:166},
D{l:133,t:10,i:505},
D{l:9,t:0,i:110},
D{l:134,t:10,i:1670},
D{l:8,t:0,i:58},
D{l:9,t:0,i:724},
D{l:11,t:0,i:809},
D{l:13,t:0,i:113},
D{l:145,t:0,i:72},
D{l:6,t:0,i:345},
D{l:7,t:0,i:1247},
D{l:144,t:11,i:82},
D{l:5,t:11,i:931},
D{l:134,t:11,i:1698},
D{l:8,t:0,i:767},
D{l:8,t:0,i:803},
D{l:9,t:0,i:301},
D{l:137,t:0,i:903},
D{l:139,t:0,i:203},
D{l:134,t:0,i:1154},
D{l:7,t:0,i:1949},
D{l:136,t:0,i:674},
D{l:134,t:0,i:259},
D{l:135,t:0,i:1275},
D{l:5,t:11,i:774},
D{l:6,t:11,i:1637},
D{l:6,t:11,i:1686},
D{l:134,t:11,i:1751},
D{l:134,t:0,i:1231},
D{l:7,t:10,i:445},
D{l:8,t:10,i:307},
D{l:8,t:10,i:704},
D{l:10,t:10,i:41},
D{l:10,t:10,i:439},
D{l:11,t:10,i:237},
D{l:11,t:10,i:622},
D{l:140,t:10,i:201},
D{l:136,t:0,i:254},
D{l:6,t:11,i:260},
D{l:135,t:11,i:1484},
D{l:139,t:0,i:277},
D{l:135,t:10,i:1977},
D{l:4,t:10,i:189},
D{l:5,t:10,i:713},
D{l:6,t:11,i:573},
D{l:136,t:10,i:57},
D{l:138,t:10,i:371},
D{l:132,t:10,i:552},
D{l:134,t:11,i:344},
D{l:133,t:0,i:248},
D{l:9,t:0,i:800},
D{l:10,t:0,i:693},
D{l:11,t:0,i:482},
D{l:11,t:0,i:734},
D{l:11,t:0,i:789},
D{l:134,t:11,i:240},
D{l:4,t:0,i:116},
D{l:5,t:0,i:95},
D{l:5,t:0,i:445},
D{l:7,t:0,i:1688},
D{l:8,t:0,i:29},
D{l:9,t:0,i:272},
D{l:11,t:0,i:509},
D{l:11,t:0,i:915},
D{l:4,t:11,i:292},
D{l:4,t:11,i:736},
D{l:5,t:11,i:871},
D{l:6,t:11,i:171},
D{l:6,t:11,i:1689},
D{l:7,t:11,i:1324},
D{l:7,t:11,i:1944},
D{l:9,t:11,i:415},
D{l:9,t:11,i:580},
D{l:14,t:11,i:230},
D{l:146,t:11,i:68},
D{l:7,t:0,i:490},
D{l:13,t:0,i:100},
D{l:143,t:0,i:75},
D{l:135,t:0,i:1641},
D{l:133,t:0,i:543},
D{l:7,t:11,i:209},
D{l:8,t:11,i:661},
D{l:10,t:11,i:42},
D{l:11,t:11,i:58},
D{l:12,t:11,i:58},
D{l:12,t:11,i:118},
D{l:141,t:11,i:32},
D{l:5,t:0,i:181},
D{l:8,t:0,i:41},
D{l:6,t:11,i:63},
D{l:135,t:11,i:920},
D{l:133,t:0,i:657},
D{l:133,t:11,i:793},
D{l:138,t:0,i:709},
D{l:7,t:0,i:25},
D{l:8,t:0,i:202},
D{l:138,t:0,i:536},
D{l:5,t:11,i:665},
D{l:135,t:10,i:1788},
D{l:145,t:10,i:49},
D{l:9,t:0,i:423},
D{l:140,t:0,i:89},
D{l:5,t:11,i:67},
D{l:6,t:11,i:62},
D{l:6,t:11,i:374},
D{l:135,t:11,i:1391},
D{l:8,t:0,i:113},
D{l:9,t:0,i:877},
D{l:10,t:0,i:554},
D{l:11,t:0,i:83},
D{l:12,t:0,i:136},
D{l:19,t:0,i:109},
D{l:9,t:11,i:790},
D{l:140,t:11,i:47},
D{l:138,t:10,i:661},
D{l:4,t:0,i:963},
D{l:10,t:0,i:927},
D{l:14,t:0,i:442},
D{l:135,t:10,i:1945},
D{l:133,t:0,i:976},
D{l:132,t:0,i:206},
D{l:4,t:11,i:391},
D{l:135,t:11,i:1169},
D{l:134,t:0,i:2002},
D{l:6,t:0,i:696},
D{l:134,t:0,i:1008},
D{l:134,t:0,i:1170},
D{l:132,t:11,i:271},
D{l:7,t:0,i:13},
D{l:8,t:0,i:226},
D{l:10,t:0,i:537},
D{l:11,t:0,i:570},
D{l:11,t:0,i:605},
D{l:11,t:0,i:799},
D{l:11,t:0,i:804},
D{l:12,t:0,i:85},
D{l:12,t:0,i:516},
D{l:12,t:0,i:623},
D{l:13,t:0,i:112},
D{l:13,t:0,i:361},
D{l:14,t:0,i:77},
D{l:14,t:0,i:78},
D{l:17,t:0,i:28},
D{l:19,t:0,i:110},
D{l:140,t:11,i:314},
D{l:132,t:0,i:769},
D{l:134,t:0,i:1544},
D{l:4,t:0,i:551},
D{l:137,t:0,i:678},
D{l:5,t:10,i:84},
D{l:134,t:10,i:163},
D{l:9,t:0,i:57},
D{l:9,t:0,i:459},
D{l:10,t:0,i:425},
D{l:11,t:0,i:119},
D{l:12,t:0,i:184},
D{l:12,t:0,i:371},
D{l:13,t:0,i:358},
D{l:145,t:0,i:51},
D{l:5,t:0,i:188},
D{l:5,t:0,i:814},
D{l:8,t:0,i:10},
D{l:9,t:0,i:421},
D{l:9,t:0,i:729},
D{l:10,t:0,i:609},
D{l:11,t:0,i:689},
D{l:4,t:11,i:253},
D{l:5,t:10,i:410},
D{l:5,t:11,i:544},
D{l:7,t:11,i:300},
D{l:137,t:11,i:340},
D{l:134,t:0,i:624},
D{l:138,t:11,i:321},
D{l:135,t:0,i:1941},
D{l:18,t:0,i:130},
D{l:5,t:10,i:322},
D{l:8,t:10,i:186},
D{l:9,t:10,i:262},
D{l:10,t:10,i:187},
D{l:142,t:10,i:208},
D{l:5,t:11,i:53},
D{l:5,t:11,i:541},
D{l:6,t:11,i:94},
D{l:6,t:11,i:499},
D{l:7,t:11,i:230},
D{l:139,t:11,i:321},
D{l:133,t:10,i:227},
D{l:4,t:0,i:378},
D{l:4,t:11,i:920},
D{l:5,t:11,i:25},
D{l:5,t:11,i:790},
D{l:6,t:11,i:457},
D{l:135,t:11,i:853},
D{l:137,t:0,i:269},
D{l:132,t:0,i:528},
D{l:134,t:0,i:1146},
D{l:7,t:10,i:1395},
D{l:8,t:10,i:486},
D{l:9,t:10,i:236},
D{l:9,t:10,i:878},
D{l:10,t:10,i:218},
D{l:11,t:10,i:95},
D{l:19,t:10,i:17},
D{l:147,t:10,i:31},
D{l:7,t:10,i:2043},
D{l:8,t:10,i:672},
D{l:141,t:10,i:448},
D{l:134,t:0,i:1105},
D{l:134,t:0,i:1616},
D{l:134,t:11,i:1765},
D{l:140,t:11,i:163},
D{l:5,t:10,i:412},
D{l:133,t:11,i:822},
D{l:132,t:11,i:634},
D{l:6,t:0,i:656},
D{l:134,t:11,i:1730},
D{l:134,t:0,i:1940},
D{l:5,t:0,i:104},
D{l:6,t:0,i:173},
D{l:135,t:0,i:1631},
D{l:136,t:10,i:562},
D{l:6,t:11,i:36},
D{l:7,t:11,i:658},
D{l:8,t:11,i:454},
D{l:147,t:11,i:86},
D{l:5,t:0,i:457},
D{l:134,t:10,i:1771},
D{l:7,t:0,i:810},
D{l:8,t:0,i:138},
D{l:8,t:0,i:342},
D{l:9,t:0,i:84},
D{l:10,t:0,i:193},
D{l:11,t:0,i:883},
D{l:140,t:0,i:359},
D{l:9,t:0,i:620},
D{l:135,t:10,i:1190},
D{l:137,t:10,i:132},
D{l:7,t:11,i:975},
D{l:137,t:11,i:789},
D{l:6,t:0,i:95},
D{l:6,t:0,i:1934},
D{l:136,t:0,i:967},
D{l:141,t:11,i:335},
D{l:6,t:0,i:406},
D{l:10,t:0,i:409},
D{l:10,t:0,i:447},
D{l:11,t:0,i:44},
D{l:140,t:0,i:100},
D{l:4,t:10,i:317},
D{l:135,t:10,i:1279},
D{l:132,t:0,i:477},
D{l:134,t:0,i:1268},
D{l:6,t:0,i:1941},
D{l:8,t:0,i:944},
D{l:5,t:10,i:63},
D{l:133,t:10,i:509},
D{l:132,t:0,i:629},
D{l:132,t:11,i:104},
D{l:4,t:0,i:246},
D{l:133,t:0,i:375},
D{l:6,t:0,i:1636},
D{l:132,t:10,i:288},
D{l:135,t:11,i:1614},
D{l:9,t:0,i:49},
D{l:10,t:0,i:774},
D{l:8,t:10,i:89},
D{l:8,t:10,i:620},
D{l:11,t:10,i:628},
D{l:12,t:10,i:322},
D{l:143,t:10,i:124},
D{l:4,t:0,i:282},
D{l:7,t:0,i:1034},
D{l:11,t:0,i:398},
D{l:11,t:0,i:634},
D{l:12,t:0,i:1},
D{l:12,t:0,i:79},
D{l:12,t:0,i:544},
D{l:14,t:0,i:237},
D{l:17,t:0,i:10},
D{l:146,t:0,i:20},
D{l:132,t:0,i:824},
D{l:7,t:11,i:45},
D{l:9,t:11,i:542},
D{l:9,t:11,i:566},
D{l:138,t:11,i:728},
D{l:5,t:0,i:118},
D{l:5,t:0,i:499},
D{l:6,t:0,i:476},
D{l:6,t:0,i:665},
D{l:6,t:0,i:1176},
D{l:6,t:0,i:1196},
D{l:7,t:0,i:600},
D{l:7,t:0,i:888},
D{l:135,t:0,i:1096},
D{l:7,t:0,i:296},
D{l:7,t:0,i:596},
D{l:8,t:0,i:560},
D{l:8,t:0,i:586},
D{l:9,t:0,i:612},
D{l:11,t:0,i:304},
D{l:12,t:0,i:46},
D{l:13,t:0,i:89},
D{l:14,t:0,i:112},
D{l:145,t:0,i:122},
D{l:5,t:0,i:894},
D{l:6,t:0,i:1772},
D{l:9,t:0,i:1009},
D{l:138,t:10,i:120},
D{l:5,t:11,i:533},
D{l:7,t:11,i:755},
D{l:138,t:11,i:780},
D{l:151,t:10,i:1},
D{l:6,t:0,i:1474},
D{l:7,t:11,i:87},
D{l:142,t:11,i:288},
D{l:139,t:0,i:366},
D{l:137,t:10,i:461},
D{l:7,t:11,i:988},
D{l:7,t:11,i:1939},
D{l:9,t:11,i:64},
D{l:9,t:11,i:502},
D{l:12,t:11,i:7},
D{l:12,t:11,i:34},
D{l:13,t:11,i:12},
D{l:13,t:11,i:234},
D{l:147,t:11,i:77},
D{l:7,t:0,i:1599},
D{l:7,t:0,i:1723},
D{l:8,t:0,i:79},
D{l:8,t:0,i:106},
D{l:8,t:0,i:190},
D{l:8,t:0,i:302},
D{l:8,t:0,i:383},
D{l:8,t:0,i:713},
D{l:9,t:0,i:119},
D{l:9,t:0,i:233},
D{l:9,t:0,i:419},
D{l:9,t:0,i:471},
D{l:10,t:0,i:181},
D{l:10,t:0,i:406},
D{l:11,t:0,i:57},
D{l:11,t:0,i:85},
D{l:11,t:0,i:120},
D{l:11,t:0,i:177},
D{l:11,t:0,i:296},
D{l:11,t:0,i:382},
D{l:11,t:0,i:454},
D{l:11,t:0,i:758},
D{l:11,t:0,i:999},
D{l:12,t:0,i:27},
D{l:12,t:0,i:98},
D{l:12,t:0,i:131},
D{l:12,t:0,i:245},
D{l:12,t:0,i:312},
D{l:12,t:0,i:446},
D{l:12,t:0,i:454},
D{l:13,t:0,i:25},
D{l:13,t:0,i:98},
D{l:13,t:0,i:426},
D{l:13,t:0,i:508},
D{l:14,t:0,i:70},
D{l:14,t:0,i:163},
D{l:14,t:0,i:272},
D{l:14,t:0,i:277},
D{l:14,t:0,i:370},
D{l:15,t:0,i:95},
D{l:15,t:0,i:138},
D{l:15,t:0,i:167},
D{l:17,t:0,i:38},
D{l:148,t:0,i:96},
D{l:135,t:10,i:1346},
D{l:10,t:0,i:200},
D{l:19,t:0,i:2},
D{l:151,t:0,i:22},
D{l:135,t:11,i:141},
D{l:134,t:10,i:85},
D{l:134,t:0,i:1759},
D{l:138,t:0,i:372},
D{l:145,t:0,i:16},
D{l:8,t:0,i:943},
D{l:132,t:11,i:619},
D{l:139,t:11,i:88},
D{l:5,t:11,i:246},
D{l:8,t:11,i:189},
D{l:9,t:11,i:355},
D{l:9,t:11,i:512},
D{l:10,t:11,i:124},
D{l:10,t:11,i:453},
D{l:11,t:11,i:143},
D{l:11,t:11,i:416},
D{l:11,t:11,i:859},
D{l:141,t:11,i:341},
D{l:5,t:0,i:258},
D{l:134,t:0,i:719},
D{l:6,t:0,i:1798},
D{l:6,t:0,i:1839},
D{l:8,t:0,i:900},
D{l:10,t:0,i:874},
D{l:10,t:0,i:886},
D{l:12,t:0,i:698},
D{l:12,t:0,i:732},
D{l:12,t:0,i:770},
D{l:16,t:0,i:106},
D{l:18,t:0,i:163},
D{l:18,t:0,i:170},
D{l:18,t:0,i:171},
D{l:152,t:0,i:20},
D{l:9,t:0,i:707},
D{l:11,t:0,i:326},
D{l:11,t:0,i:339},
D{l:12,t:0,i:423},
D{l:12,t:0,i:502},
D{l:20,t:0,i:62},
D{l:9,t:11,i:707},
D{l:11,t:11,i:326},
D{l:11,t:11,i:339},
D{l:12,t:11,i:423},
D{l:12,t:11,i:502},
D{l:148,t:11,i:62},
D{l:5,t:0,i:30},
D{l:7,t:0,i:495},
D{l:8,t:0,i:134},
D{l:9,t:0,i:788},
D{l:140,t:0,i:438},
D{l:133,t:11,i:678},
D{l:5,t:10,i:279},
D{l:6,t:10,i:235},
D{l:7,t:10,i:468},
D{l:8,t:10,i:446},
D{l:9,t:10,i:637},
D{l:10,t:10,i:717},
D{l:11,t:10,i:738},
D{l:140,t:10,i:514},
D{l:5,t:11,i:35},
D{l:6,t:11,i:287},
D{l:7,t:11,i:862},
D{l:7,t:11,i:1886},
D{l:138,t:11,i:179},
D{l:7,t:0,i:1948},
D{l:7,t:0,i:2004},
D{l:132,t:11,i:517},
D{l:5,t:10,i:17},
D{l:6,t:10,i:371},
D{l:137,t:10,i:528},
D{l:4,t:0,i:115},
D{l:5,t:0,i:669},
D{l:6,t:0,i:407},
D{l:8,t:0,i:311},
D{l:11,t:0,i:10},
D{l:141,t:0,i:5},
D{l:137,t:0,i:381},
D{l:5,t:0,i:50},
D{l:6,t:0,i:439},
D{l:7,t:0,i:780},
D{l:135,t:0,i:1040},
D{l:136,t:11,i:667},
D{l:11,t:11,i:403},
D{l:146,t:11,i:83},
D{l:5,t:0,i:1},
D{l:6,t:0,i:81},
D{l:138,t:0,i:520},
D{l:134,t:0,i:738},
D{l:5,t:0,i:482},
D{l:8,t:0,i:98},
D{l:9,t:0,i:172},
D{l:10,t:0,i:360},
D{l:10,t:0,i:700},
D{l:10,t:0,i:822},
D{l:11,t:0,i:302},
D{l:11,t:0,i:778},
D{l:12,t:0,i:50},
D{l:12,t:0,i:127},
D{l:12,t:0,i:396},
D{l:13,t:0,i:62},
D{l:13,t:0,i:328},
D{l:14,t:0,i:122},
D{l:147,t:0,i:72},
D{l:9,t:11,i:157},
D{l:10,t:11,i:131},
D{l:140,t:11,i:72},
D{l:135,t:11,i:714},
D{l:135,t:11,i:539},
D{l:5,t:0,i:2},
D{l:6,t:0,i:512},
D{l:7,t:0,i:797},
D{l:7,t:0,i:1494},
D{l:8,t:0,i:253},
D{l:8,t:0,i:589},
D{l:9,t:0,i:77},
D{l:10,t:0,i:1},
D{l:10,t:0,i:129},
D{l:10,t:0,i:225},
D{l:11,t:0,i:118},
D{l:11,t:0,i:226},
D{l:11,t:0,i:251},
D{l:11,t:0,i:430},
D{l:11,t:0,i:701},
D{l:11,t:0,i:974},
D{l:11,t:0,i:982},
D{l:12,t:0,i:64},
D{l:12,t:0,i:260},
D{l:12,t:0,i:488},
D{l:140,t:0,i:690},
D{l:5,t:11,i:394},
D{l:7,t:11,i:367},
D{l:7,t:11,i:487},
D{l:7,t:11,i:857},
D{l:7,t:11,i:1713},
D{l:8,t:11,i:246},
D{l:9,t:11,i:537},
D{l:10,t:11,i:165},
D{l:12,t:11,i:219},
D{l:140,t:11,i:561},
D{l:136,t:0,i:557},
D{l:5,t:10,i:779},
D{l:5,t:10,i:807},
D{l:6,t:10,i:1655},
D{l:134,t:10,i:1676},
D{l:4,t:10,i:196},
D{l:5,t:10,i:558},
D{l:133,t:10,i:949},
D{l:11,t:11,i:827},
D{l:12,t:11,i:56},
D{l:14,t:11,i:34},
D{l:143,t:11,i:148},
D{l:137,t:0,i:347},
D{l:133,t:0,i:572},
D{l:134,t:0,i:832},
D{l:4,t:0,i:12},
D{l:7,t:0,i:504},
D{l:7,t:0,i:522},
D{l:7,t:0,i:809},
D{l:8,t:0,i:797},
D{l:141,t:0,i:88},
D{l:4,t:10,i:752},
D{l:133,t:11,i:449},
D{l:7,t:11,i:86},
D{l:8,t:11,i:103},
D{l:145,t:11,i:69},
D{l:7,t:11,i:2028},
D{l:138,t:11,i:641},
D{l:5,t:0,i:528},
D{l:6,t:11,i:1},
D{l:142,t:11,i:2},
D{l:134,t:0,i:861},
D{l:10,t:0,i:294},
D{l:4,t:10,i:227},
D{l:5,t:10,i:159},
D{l:5,t:10,i:409},
D{l:7,t:10,i:80},
D{l:10,t:10,i:479},
D{l:12,t:10,i:418},
D{l:14,t:10,i:50},
D{l:14,t:10,i:249},
D{l:142,t:10,i:295},
D{l:7,t:10,i:1470},
D{l:8,t:10,i:66},
D{l:8,t:10,i:137},
D{l:8,t:10,i:761},
D{l:9,t:10,i:638},
D{l:11,t:10,i:80},
D{l:11,t:10,i:212},
D{l:11,t:10,i:368},
D{l:11,t:10,i:418},
D{l:12,t:10,i:8},
D{l:13,t:10,i:15},
D{l:16,t:10,i:61},
D{l:17,t:10,i:59},
D{l:19,t:10,i:28},
D{l:148,t:10,i:84},
D{l:20,t:0,i:109},
D{l:135,t:11,i:1148},
D{l:6,t:11,i:277},
D{l:7,t:11,i:1274},
D{l:7,t:11,i:1386},
D{l:7,t:11,i:1392},
D{l:12,t:11,i:129},
D{l:146,t:11,i:87},
D{l:6,t:11,i:187},
D{l:7,t:11,i:39},
D{l:7,t:11,i:1203},
D{l:8,t:11,i:380},
D{l:8,t:11,i:542},
D{l:14,t:11,i:117},
D{l:149,t:11,i:28},
D{l:134,t:0,i:1187},
D{l:5,t:0,i:266},
D{l:9,t:0,i:290},
D{l:9,t:0,i:364},
D{l:10,t:0,i:293},
D{l:11,t:0,i:606},
D{l:142,t:0,i:45},
D{l:6,t:11,i:297},
D{l:7,t:11,i:793},
D{l:139,t:11,i:938},
D{l:4,t:0,i:50},
D{l:6,t:0,i:594},
D{l:9,t:0,i:121},
D{l:10,t:0,i:49},
D{l:10,t:0,i:412},
D{l:139,t:0,i:834},
D{l:136,t:0,i:748},
D{l:7,t:11,i:464},
D{l:8,t:11,i:438},
D{l:11,t:11,i:105},
D{l:11,t:11,i:363},
D{l:12,t:11,i:231},
D{l:14,t:11,i:386},
D{l:15,t:11,i:102},
D{l:148,t:11,i:75},
D{l:132,t:0,i:466},
D{l:13,t:0,i:399},
D{l:14,t:0,i:337},
D{l:6,t:10,i:38},
D{l:7,t:10,i:1220},
D{l:8,t:10,i:185},
D{l:8,t:10,i:256},
D{l:9,t:10,i:22},
D{l:9,t:10,i:331},
D{l:10,t:10,i:738},
D{l:11,t:10,i:205},
D{l:11,t:10,i:540},
D{l:11,t:10,i:746},
D{l:13,t:10,i:465},
D{l:142,t:10,i:194},
D{l:9,t:0,i:378},
D{l:141,t:0,i:162},
D{l:137,t:0,i:519},
D{l:4,t:10,i:159},
D{l:6,t:10,i:115},
D{l:7,t:10,i:252},
D{l:7,t:10,i:257},
D{l:7,t:10,i:1928},
D{l:8,t:10,i:69},
D{l:9,t:10,i:384},
D{l:10,t:10,i:91},
D{l:10,t:10,i:615},
D{l:12,t:10,i:375},
D{l:14,t:10,i:235},
D{l:18,t:10,i:117},
D{l:147,t:10,i:123},
D{l:5,t:11,i:604},
D{l:5,t:10,i:911},
D{l:136,t:10,i:278},
D{l:132,t:0,i:667},
D{l:8,t:0,i:351},
D{l:9,t:0,i:322},
D{l:4,t:10,i:151},
D{l:135,t:10,i:1567},
D{l:134,t:0,i:902},
D{l:133,t:10,i:990},
D{l:12,t:0,i:180},
D{l:5,t:10,i:194},
D{l:7,t:10,i:1662},
D{l:137,t:10,i:90},
D{l:4,t:0,i:869},
D{l:134,t:0,i:1996},
D{l:134,t:0,i:813},
D{l:133,t:10,i:425},
D{l:137,t:11,i:761},
D{l:132,t:0,i:260},
D{l:133,t:10,i:971},
D{l:5,t:11,i:20},
D{l:6,t:11,i:298},
D{l:7,t:11,i:659},
D{l:7,t:11,i:1366},
D{l:137,t:11,i:219},
D{l:4,t:0,i:39},
D{l:5,t:0,i:36},
D{l:7,t:0,i:1843},
D{l:8,t:0,i:407},
D{l:11,t:0,i:144},
D{l:140,t:0,i:523},
D{l:4,t:0,i:510},
D{l:10,t:0,i:587},
D{l:139,t:10,i:752},
D{l:7,t:0,i:29},
D{l:7,t:0,i:66},
D{l:7,t:0,i:1980},
D{l:10,t:0,i:487},
D{l:138,t:0,i:809},
D{l:13,t:0,i:260},
D{l:14,t:0,i:82},
D{l:18,t:0,i:63},
D{l:137,t:10,i:662},
D{l:5,t:10,i:72},
D{l:6,t:10,i:264},
D{l:7,t:10,i:21},
D{l:7,t:10,i:46},
D{l:7,t:10,i:2013},
D{l:8,t:10,i:215},
D{l:8,t:10,i:513},
D{l:10,t:10,i:266},
D{l:139,t:10,i:22},
D{l:134,t:0,i:570},
D{l:6,t:0,i:565},
D{l:7,t:0,i:1667},
D{l:4,t:11,i:439},
D{l:10,t:10,i:95},
D{l:11,t:10,i:603},
D{l:12,t:11,i:242},
D{l:13,t:10,i:443},
D{l:14,t:10,i:160},
D{l:143,t:10,i:4},
D{l:134,t:0,i:1464},
D{l:134,t:10,i:431},
D{l:9,t:0,i:372},
D{l:15,t:0,i:2},
D{l:19,t:0,i:10},
D{l:19,t:0,i:18},
D{l:5,t:10,i:874},
D{l:6,t:10,i:1677},
D{l:143,t:10,i:0},
D{l:132,t:0,i:787},
D{l:6,t:0,i:380},
D{l:12,t:0,i:399},
D{l:21,t:0,i:19},
D{l:7,t:10,i:939},
D{l:7,t:10,i:1172},
D{l:7,t:10,i:1671},
D{l:9,t:10,i:540},
D{l:10,t:10,i:696},
D{l:11,t:10,i:265},
D{l:11,t:10,i:732},
D{l:11,t:10,i:928},
D{l:11,t:10,i:937},
D{l:141,t:10,i:438},
D{l:137,t:0,i:200},
D{l:132,t:11,i:233},
D{l:132,t:0,i:516},
D{l:134,t:11,i:577},
D{l:132,t:0,i:844},
D{l:11,t:0,i:887},
D{l:14,t:0,i:365},
D{l:142,t:0,i:375},
D{l:132,t:11,i:482},
D{l:8,t:0,i:821},
D{l:140,t:0,i:44},
D{l:7,t:0,i:1655},
D{l:136,t:0,i:305},
D{l:5,t:10,i:682},
D{l:135,t:10,i:1887},
D{l:135,t:11,i:346},
D{l:132,t:10,i:696},
D{l:4,t:0,i:10},
D{l:7,t:0,i:917},
D{l:139,t:0,i:786},
D{l:5,t:11,i:795},
D{l:6,t:11,i:1741},
D{l:8,t:11,i:417},
D{l:137,t:11,i:782},
D{l:4,t:0,i:1016},
D{l:134,t:0,i:2031},
D{l:5,t:0,i:684},
D{l:4,t:10,i:726},
D{l:133,t:10,i:630},
D{l:6,t:0,i:1021},
D{l:134,t:0,i:1480},
D{l:8,t:10,i:802},
D{l:136,t:10,i:838},
D{l:134,t:0,i:27},
D{l:134,t:0,i:395},
D{l:135,t:11,i:622},
D{l:7,t:11,i:625},
D{l:135,t:11,i:1750},
D{l:4,t:11,i:203},
D{l:135,t:11,i:1936},
D{l:6,t:10,i:118},
D{l:7,t:10,i:215},
D{l:7,t:10,i:1521},
D{l:140,t:10,i:11},
D{l:132,t:0,i:813},
D{l:136,t:0,i:511},
D{l:7,t:10,i:615},
D{l:138,t:10,i:251},
D{l:135,t:10,i:1044},
D{l:145,t:0,i:56},
D{l:133,t:10,i:225},
D{l:6,t:0,i:342},
D{l:6,t:0,i:496},
D{l:8,t:0,i:275},
D{l:137,t:0,i:206},
D{l:4,t:0,i:909},
D{l:133,t:0,i:940},
D{l:132,t:0,i:891},
D{l:7,t:11,i:311},
D{l:9,t:11,i:308},
D{l:140,t:11,i:255},
D{l:4,t:10,i:370},
D{l:5,t:10,i:756},
D{l:135,t:10,i:1326},
D{l:4,t:0,i:687},
D{l:134,t:0,i:1596},
D{l:134,t:0,i:1342},
D{l:6,t:10,i:1662},
D{l:7,t:10,i:48},
D{l:8,t:10,i:771},
D{l:10,t:10,i:116},
D{l:13,t:10,i:104},
D{l:14,t:10,i:105},
D{l:14,t:10,i:184},
D{l:15,t:10,i:168},
D{l:19,t:10,i:92},
D{l:148,t:10,i:68},
D{l:138,t:10,i:209},
D{l:4,t:11,i:400},
D{l:5,t:11,i:267},
D{l:135,t:11,i:232},
D{l:151,t:11,i:12},
D{l:6,t:0,i:41},
D{l:141,t:0,i:160},
D{l:141,t:11,i:314},
D{l:134,t:0,i:1718},
D{l:136,t:0,i:778},
D{l:142,t:11,i:261},
D{l:134,t:0,i:1610},
D{l:133,t:0,i:115},
D{l:132,t:0,i:294},
D{l:14,t:0,i:314},
D{l:132,t:10,i:120},
D{l:132,t:0,i:983},
D{l:5,t:0,i:193},
D{l:140,t:0,i:178},
D{l:138,t:10,i:429},
D{l:5,t:10,i:820},
D{l:135,t:10,i:931},
D{l:6,t:0,i:994},
D{l:6,t:0,i:1051},
D{l:6,t:0,i:1439},
D{l:7,t:0,i:174},
D{l:133,t:11,i:732},
D{l:4,t:11,i:100},
D{l:7,t:11,i:679},
D{l:8,t:11,i:313},
D{l:138,t:10,i:199},
D{l:6,t:10,i:151},
D{l:6,t:10,i:1675},
D{l:7,t:10,i:383},
D{l:151,t:10,i:10},
D{l:6,t:0,i:1796},
D{l:8,t:0,i:848},
D{l:8,t:0,i:867},
D{l:8,t:0,i:907},
D{l:10,t:0,i:855},
D{l:140,t:0,i:703},
D{l:140,t:0,i:221},
D{l:4,t:0,i:122},
D{l:5,t:0,i:796},
D{l:5,t:0,i:952},
D{l:6,t:0,i:1660},
D{l:6,t:0,i:1671},
D{l:8,t:0,i:567},
D{l:9,t:0,i:687},
D{l:9,t:0,i:742},
D{l:10,t:0,i:686},
D{l:11,t:0,i:682},
D{l:11,t:0,i:909},
D{l:140,t:0,i:281},
D{l:5,t:11,i:362},
D{l:5,t:11,i:443},
D{l:6,t:11,i:318},
D{l:7,t:11,i:1019},
D{l:139,t:11,i:623},
D{l:5,t:11,i:463},
D{l:136,t:11,i:296},
D{l:11,t:0,i:583},
D{l:13,t:0,i:262},
D{l:6,t:10,i:1624},
D{l:12,t:10,i:422},
D{l:142,t:10,i:360},
D{l:5,t:0,i:179},
D{l:7,t:0,i:1095},
D{l:135,t:0,i:1213},
D{l:4,t:10,i:43},
D{l:4,t:11,i:454},
D{l:5,t:10,i:344},
D{l:133,t:10,i:357},
D{l:4,t:0,i:66},
D{l:7,t:0,i:722},
D{l:135,t:0,i:904},
D{l:134,t:0,i:773},
D{l:7,t:0,i:352},
D{l:133,t:10,i:888},
D{l:5,t:11,i:48},
D{l:5,t:11,i:404},
D{l:6,t:11,i:557},
D{l:7,t:11,i:458},
D{l:8,t:11,i:597},
D{l:10,t:11,i:455},
D{l:10,t:11,i:606},
D{l:11,t:11,i:49},
D{l:11,t:11,i:548},
D{l:12,t:11,i:476},
D{l:13,t:11,i:18},
D{l:141,t:11,i:450},
D{l:134,t:11,i:418},
D{l:132,t:10,i:711},
D{l:5,t:11,i:442},
D{l:135,t:11,i:1984},
D{l:141,t:0,i:35},
D{l:137,t:0,i:152},
D{l:134,t:0,i:1197},
D{l:135,t:11,i:1093},
D{l:137,t:11,i:203},
D{l:137,t:10,i:440},
D{l:10,t:0,i:592},
D{l:10,t:0,i:753},
D{l:12,t:0,i:317},
D{l:12,t:0,i:355},
D{l:12,t:0,i:465},
D{l:12,t:0,i:469},
D{l:12,t:0,i:560},
D{l:12,t:0,i:578},
D{l:141,t:0,i:243},
D{l:133,t:0,i:564},
D{l:134,t:0,i:797},
D{l:5,t:10,i:958},
D{l:133,t:10,i:987},
D{l:5,t:11,i:55},
D{l:7,t:11,i:376},
D{l:140,t:11,i:161},
D{l:133,t:11,i:450},
D{l:134,t:0,i:556},
D{l:134,t:0,i:819},
D{l:11,t:10,i:276},
D{l:142,t:10,i:293},
D{l:7,t:0,i:544},
D{l:138,t:0,i:61},
D{l:8,t:0,i:719},
D{l:4,t:10,i:65},
D{l:5,t:10,i:479},
D{l:5,t:10,i:1004},
D{l:7,t:10,i:1913},
D{l:8,t:10,i:317},
D{l:9,t:10,i:302},
D{l:10,t:10,i:612},
D{l:141,t:10,i:22},
D{l:4,t:0,i:5},
D{l:5,t:0,i:498},
D{l:8,t:0,i:637},
D{l:9,t:0,i:521},
D{l:4,t:11,i:213},
D{l:4,t:10,i:261},
D{l:7,t:11,i:223},
D{l:7,t:10,i:510},
D{l:136,t:11,i:80},
D{l:5,t:0,i:927},
D{l:7,t:0,i:101},
D{l:4,t:10,i:291},
D{l:7,t:11,i:381},
D{l:7,t:11,i:806},
D{l:7,t:11,i:820},
D{l:8,t:11,i:354},
D{l:8,t:11,i:437},
D{l:8,t:11,i:787},
D{l:9,t:10,i:515},
D{l:9,t:11,i:657},
D{l:10,t:11,i:58},
D{l:10,t:11,i:339},
D{l:10,t:11,i:749},
D{l:11,t:11,i:914},
D{l:12,t:10,i:152},
D{l:12,t:11,i:162},
D{l:12,t:10,i:443},
D{l:13,t:11,i:75},
D{l:13,t:10,i:392},
D{l:14,t:11,i:106},
D{l:14,t:11,i:198},
D{l:14,t:11,i:320},
D{l:14,t:10,i:357},
D{l:14,t:11,i:413},
D{l:146,t:11,i:43},
D{l:6,t:0,i:1153},
D{l:7,t:0,i:1441},
D{l:136,t:11,i:747},
D{l:4,t:0,i:893},
D{l:5,t:0,i:780},
D{l:133,t:0,i:893},
D{l:138,t:11,i:654},
D{l:133,t:11,i:692},
D{l:133,t:0,i:238},
D{l:134,t:11,i:191},
D{l:4,t:10,i:130},
D{l:135,t:10,i:843},
D{l:6,t:0,i:1296},
D{l:5,t:10,i:42},
D{l:5,t:10,i:879},
D{l:7,t:10,i:245},
D{l:7,t:10,i:324},
D{l:7,t:10,i:1532},
D{l:11,t:10,i:463},
D{l:11,t:10,i:472},
D{l:13,t:10,i:363},
D{l:144,t:10,i:52},
D{l:134,t:0,i:1729},
D{l:6,t:0,i:1999},
D{l:136,t:0,i:969},
D{l:4,t:10,i:134},
D{l:133,t:10,i:372},
D{l:4,t:0,i:60},
D{l:7,t:0,i:941},
D{l:7,t:0,i:1800},
D{l:8,t:0,i:314},
D{l:9,t:0,i:700},
D{l:139,t:0,i:487},
D{l:134,t:0,i:1144},
D{l:6,t:11,i:162},
D{l:7,t:11,i:1960},
D{l:136,t:11,i:831},
D{l:132,t:11,i:706},
D{l:135,t:0,i:1147},
D{l:138,t:11,i:426},
D{l:138,t:11,i:89},
D{l:7,t:0,i:1853},
D{l:138,t:0,i:437},
D{l:136,t:0,i:419},
D{l:135,t:10,i:1634},
D{l:133,t:0,i:828},
D{l:5,t:0,i:806},
D{l:7,t:0,i:176},
D{l:7,t:0,i:178},
D{l:7,t:0,i:1240},
D{l:7,t:0,i:1976},
D{l:132,t:10,i:644},
D{l:135,t:11,i:1877},
D{l:5,t:11,i:420},
D{l:135,t:11,i:1449},
D{l:4,t:0,i:51},
D{l:5,t:0,i:39},
D{l:6,t:0,i:4},
D{l:7,t:0,i:591},
D{l:7,t:0,i:849},
D{l:7,t:0,i:951},
D{l:7,t:0,i:1613},
D{l:7,t:0,i:1760},
D{l:7,t:0,i:1988},
D{l:9,t:0,i:434},
D{l:10,t:0,i:754},
D{l:11,t:0,i:25},
D{l:139,t:0,i:37},
D{l:10,t:11,i:57},
D{l:138,t:11,i:277},
D{l:135,t:10,i:540},
D{l:132,t:11,i:204},
D{l:135,t:0,i:159},
D{l:139,t:11,i:231},
D{l:133,t:0,i:902},
D{l:7,t:0,i:928},
D{l:7,t:11,i:366},
D{l:9,t:11,i:287},
D{l:12,t:11,i:199},
D{l:12,t:11,i:556},
D{l:140,t:11,i:577},
D{l:6,t:10,i:623},
D{l:136,t:10,i:789},
D{l:4,t:10,i:908},
D{l:5,t:10,i:359},
D{l:5,t:10,i:508},
D{l:6,t:10,i:1723},
D{l:7,t:10,i:343},
D{l:7,t:10,i:1996},
D{l:135,t:10,i:2026},
D{l:134,t:0,i:270},
D{l:4,t:10,i:341},
D{l:135,t:10,i:480},
D{l:5,t:11,i:356},
D{l:135,t:11,i:224},
D{l:11,t:11,i:588},
D{l:11,t:11,i:864},
D{l:11,t:11,i:968},
D{l:143,t:11,i:160},
D{l:132,t:0,i:556},
D{l:137,t:0,i:801},
D{l:132,t:0,i:416},
D{l:142,t:0,i:372},
D{l:5,t:0,i:152},
D{l:5,t:0,i:197},
D{l:7,t:0,i:340},
D{l:7,t:0,i:867},
D{l:10,t:0,i:548},
D{l:10,t:0,i:581},
D{l:11,t:0,i:6},
D{l:12,t:0,i:3},
D{l:12,t:0,i:19},
D{l:14,t:0,i:110},
D{l:142,t:0,i:289},
D{l:139,t:0,i:369},
D{l:7,t:11,i:630},
D{l:9,t:11,i:567},
D{l:11,t:11,i:150},
D{l:11,t:11,i:444},
D{l:141,t:11,i:119},
D{l:134,t:11,i:539},
D{l:7,t:10,i:1995},
D{l:8,t:10,i:299},
D{l:11,t:10,i:890},
D{l:140,t:10,i:674},
D{l:7,t:0,i:34},
D{l:7,t:0,i:190},
D{l:8,t:0,i:28},
D{l:8,t:0,i:141},
D{l:8,t:0,i:444},
D{l:8,t:0,i:811},
D{l:9,t:0,i:468},
D{l:11,t:0,i:334},
D{l:12,t:0,i:24},
D{l:12,t:0,i:386},
D{l:140,t:0,i:576},
D{l:133,t:0,i:757},
D{l:7,t:0,i:1553},
D{l:136,t:0,i:898},
D{l:133,t:0,i:721},
D{l:136,t:0,i:1012},
D{l:4,t:0,i:789},
D{l:5,t:0,i:647},
D{l:135,t:0,i:1102},
D{l:132,t:0,i:898},
D{l:10,t:0,i:183},
D{l:4,t:10,i:238},
D{l:5,t:10,i:503},
D{l:6,t:10,i:179},
D{l:7,t:10,i:2003},
D{l:8,t:10,i:381},
D{l:8,t:10,i:473},
D{l:9,t:10,i:149},
D{l:10,t:10,i:788},
D{l:15,t:10,i:45},
D{l:15,t:10,i:86},
D{l:20,t:10,i:110},
D{l:150,t:10,i:57},
D{l:9,t:0,i:136},
D{l:19,t:0,i:107},
D{l:4,t:10,i:121},
D{l:5,t:10,i:156},
D{l:5,t:10,i:349},
D{l:10,t:10,i:605},
D{l:142,t:10,i:342},
D{l:4,t:11,i:235},
D{l:135,t:11,i:255},
D{l:4,t:11,i:194},
D{l:5,t:11,i:584},
D{l:6,t:11,i:384},
D{l:7,t:11,i:583},
D{l:10,t:11,i:761},
D{l:11,t:11,i:760},
D{l:139,t:11,i:851},
D{l:6,t:10,i:80},
D{l:6,t:10,i:1694},
D{l:7,t:10,i:173},
D{l:7,t:10,i:1974},
D{l:9,t:10,i:547},
D{l:10,t:10,i:730},
D{l:14,t:10,i:18},
D{l:150,t:10,i:39},
D{l:4,t:10,i:923},
D{l:134,t:10,i:1711},
D{l:5,t:0,i:277},
D{l:141,t:0,i:247},
D{l:132,t:0,i:435},
D{l:133,t:11,i:562},
D{l:134,t:0,i:1311},
D{l:5,t:11,i:191},
D{l:137,t:11,i:271},
D{l:132,t:10,i:595},
D{l:7,t:11,i:1537},
D{l:14,t:11,i:96},
D{l:143,t:11,i:73},
D{l:5,t:0,i:437},
D{l:7,t:0,i:502},
D{l:7,t:0,i:519},
D{l:7,t:0,i:1122},
D{l:7,t:0,i:1751},
D{l:14,t:0,i:211},
D{l:6,t:10,i:459},
D{l:7,t:10,i:1753},
D{l:7,t:10,i:1805},
D{l:8,t:10,i:658},
D{l:9,t:10,i:1},
D{l:11,t:10,i:959},
D{l:141,t:10,i:446},
D{l:6,t:0,i:814},
D{l:4,t:11,i:470},
D{l:5,t:11,i:473},
D{l:6,t:11,i:153},
D{l:7,t:11,i:1503},
D{l:7,t:11,i:1923},
D{l:10,t:11,i:701},
D{l:11,t:11,i:132},
D{l:11,t:11,i:168},
D{l:11,t:11,i:227},
D{l:11,t:11,i:320},
D{l:11,t:11,i:436},
D{l:11,t:11,i:525},
D{l:11,t:11,i:855},
D{l:12,t:11,i:41},
D{l:12,t:11,i:286},
D{l:13,t:11,i:103},
D{l:13,t:11,i:284},
D{l:14,t:11,i:255},
D{l:14,t:11,i:262},
D{l:15,t:11,i:117},
D{l:143,t:11,i:127},
D{l:5,t:0,i:265},
D{l:6,t:0,i:212},
D{l:135,t:0,i:28},
D{l:138,t:0,i:750},
D{l:133,t:11,i:327},
D{l:6,t:11,i:552},
D{l:7,t:11,i:1754},
D{l:137,t:11,i:604},
D{l:134,t:0,i:2012},
D{l:132,t:0,i:702},
D{l:5,t:11,i:80},
D{l:6,t:11,i:405},
D{l:7,t:11,i:403},
D{l:7,t:11,i:1502},
D{l:7,t:11,i:1626},
D{l:8,t:11,i:456},
D{l:9,t:11,i:487},
D{l:9,t:11,i:853},
D{l:9,t:11,i:889},
D{l:10,t:11,i:309},
D{l:11,t:11,i:721},
D{l:11,t:11,i:994},
D{l:12,t:11,i:430},
D{l:141,t:11,i:165},
D{l:5,t:0,i:808},
D{l:135,t:0,i:2045},
D{l:5,t:0,i:166},
D{l:8,t:0,i:739},
D{l:140,t:0,i:511},
D{l:134,t:10,i:490},
D{l:4,t:11,i:453},
D{l:5,t:11,i:887},
D{l:6,t:11,i:535},
D{l:8,t:11,i:6},
D{l:136,t:11,i:543},
D{l:4,t:0,i:119},
D{l:5,t:0,i:170},
D{l:5,t:0,i:447},
D{l:7,t:0,i:1708},
D{l:7,t:0,i:1889},
D{l:9,t:0,i:357},
D{l:9,t:0,i:719},
D{l:12,t:0,i:486},
D{l:140,t:0,i:596},
D{l:137,t:0,i:500},
D{l:7,t:10,i:250},
D{l:136,t:10,i:507},
D{l:132,t:10,i:158},
D{l:6,t:0,i:809},
D{l:134,t:0,i:1500},
D{l:9,t:0,i:327},
D{l:11,t:0,i:350},
D{l:11,t:0,i:831},
D{l:13,t:0,i:352},
D{l:4,t:10,i:140},
D{l:7,t:10,i:362},
D{l:8,t:10,i:209},
D{l:9,t:10,i:10},
D{l:9,t:10,i:503},
D{l:9,t:10,i:614},
D{l:10,t:10,i:689},
D{l:11,t:10,i:327},
D{l:11,t:10,i:725},
D{l:12,t:10,i:252},
D{l:12,t:10,i:583},
D{l:13,t:10,i:192},
D{l:14,t:10,i:269},
D{l:14,t:10,i:356},
D{l:148,t:10,i:50},
D{l:135,t:11,i:741},
D{l:4,t:0,i:450},
D{l:7,t:0,i:1158},
D{l:19,t:10,i:1},
D{l:19,t:10,i:26},
D{l:150,t:10,i:9},
D{l:6,t:0,i:597},
D{l:135,t:0,i:1318},
D{l:134,t:0,i:1602},
D{l:6,t:10,i:228},
D{l:7,t:10,i:1341},
D{l:9,t:10,i:408},
D{l:138,t:10,i:343},
D{l:7,t:0,i:1375},
D{l:7,t:0,i:1466},
D{l:138,t:0,i:331},
D{l:132,t:0,i:754},
D{l:132,t:10,i:557},
D{l:5,t:11,i:101},
D{l:6,t:11,i:88},
D{l:6,t:11,i:543},
D{l:7,t:11,i:1677},
D{l:9,t:11,i:100},
D{l:10,t:11,i:677},
D{l:14,t:11,i:169},
D{l:14,t:11,i:302},
D{l:14,t:11,i:313},
D{l:15,t:11,i:48},
D{l:143,t:11,i:84},
D{l:134,t:0,i:1368},
D{l:4,t:11,i:310},
D{l:9,t:11,i:795},
D{l:10,t:11,i:733},
D{l:11,t:11,i:451},
D{l:12,t:11,i:249},
D{l:14,t:11,i:115},
D{l:14,t:11,i:286},
D{l:143,t:11,i:100},
D{l:132,t:10,i:548},
D{l:10,t:0,i:557},
D{l:7,t:10,i:197},
D{l:8,t:10,i:142},
D{l:8,t:10,i:325},
D{l:9,t:10,i:150},
D{l:9,t:10,i:596},
D{l:10,t:10,i:353},
D{l:11,t:10,i:74},
D{l:11,t:10,i:315},
D{l:12,t:10,i:662},
D{l:12,t:10,i:681},
D{l:14,t:10,i:423},
D{l:143,t:10,i:141},
D{l:133,t:11,i:587},
D{l:5,t:0,i:850},
D{l:136,t:0,i:799},
D{l:10,t:0,i:908},
D{l:12,t:0,i:701},
D{l:12,t:0,i:757},
D{l:142,t:0,i:466},
D{l:4,t:0,i:62},
D{l:5,t:0,i:275},
D{l:18,t:0,i:19},
D{l:6,t:10,i:399},
D{l:6,t:10,i:579},
D{l:7,t:10,i:692},
D{l:7,t:10,i:846},
D{l:7,t:10,i:1015},
D{l:7,t:10,i:1799},
D{l:8,t:10,i:403},
D{l:9,t:10,i:394},
D{l:10,t:10,i:133},
D{l:12,t:10,i:4},
D{l:12,t:10,i:297},
D{l:12,t:10,i:452},
D{l:16,t:10,i:81},
D{l:18,t:10,i:25},
D{l:21,t:10,i:14},
D{l:22,t:10,i:12},
D{l:151,t:10,i:18},
D{l:12,t:0,i:459},
D{l:7,t:10,i:1546},
D{l:11,t:10,i:299},
D{l:142,t:10,i:407},
D{l:132,t:10,i:177},
D{l:132,t:11,i:498},
D{l:7,t:11,i:217},
D{l:8,t:11,i:140},
D{l:138,t:11,i:610},
D{l:5,t:10,i:411},
D{l:135,t:10,i:653},
D{l:134,t:0,i:1802},
D{l:7,t:10,i:439},
D{l:10,t:10,i:727},
D{l:11,t:10,i:260},
D{l:139,t:10,i:684},
D{l:133,t:11,i:905},
D{l:11,t:11,i:580},
D{l:142,t:11,i:201},
D{l:134,t:0,i:1397},
D{l:5,t:10,i:208},
D{l:7,t:10,i:753},
D{l:135,t:10,i:1528},
D{l:7,t:0,i:238},
D{l:7,t:0,i:2033},
D{l:8,t:0,i:120},
D{l:8,t:0,i:188},
D{l:8,t:0,i:659},
D{l:9,t:0,i:598},
D{l:10,t:0,i:466},
D{l:12,t:0,i:342},
D{l:12,t:0,i:588},
D{l:13,t:0,i:503},
D{l:14,t:0,i:246},
D{l:143,t:0,i:92},
D{l:135,t:11,i:1041},
D{l:4,t:11,i:456},
D{l:7,t:11,i:105},
D{l:7,t:11,i:358},
D{l:7,t:11,i:1637},
D{l:8,t:11,i:643},
D{l:139,t:11,i:483},
D{l:6,t:0,i:1318},
D{l:134,t:0,i:1324},
D{l:4,t:0,i:201},
D{l:7,t:0,i:1744},
D{l:8,t:0,i:602},
D{l:11,t:0,i:247},
D{l:11,t:0,i:826},
D{l:17,t:0,i:65},
D{l:133,t:10,i:242},
D{l:8,t:0,i:164},
D{l:146,t:0,i:62},
D{l:133,t:10,i:953},
D{l:139,t:10,i:802},
D{l:133,t:0,i:615},
D{l:7,t:11,i:1566},
D{l:8,t:11,i:269},
D{l:9,t:11,i:212},
D{l:9,t:11,i:718},
D{l:14,t:11,i:15},
D{l:14,t:11,i:132},
D{l:142,t:11,i:227},
D{l:133,t:10,i:290},
D{l:132,t:10,i:380},
D{l:5,t:10,i:52},
D{l:7,t:10,i:277},
D{l:9,t:10,i:368},
D{l:139,t:10,i:791},
D{l:135,t:0,i:1243},
D{l:133,t:11,i:539},
D{l:11,t:11,i:919},
D{l:141,t:11,i:409},
D{l:136,t:0,i:968},
D{l:133,t:11,i:470},
D{l:134,t:0,i:882},
D{l:132,t:0,i:907},
D{l:5,t:0,i:100},
D{l:10,t:0,i:329},
D{l:12,t:0,i:416},
D{l:149,t:0,i:29},
D{l:10,t:10,i:138},
D{l:139,t:10,i:476},
D{l:5,t:10,i:725},
D{l:5,t:10,i:727},
D{l:6,t:11,i:91},
D{l:7,t:11,i:435},
D{l:135,t:10,i:1811},
D{l:4,t:11,i:16},
D{l:5,t:11,i:316},
D{l:5,t:11,i:842},
D{l:6,t:11,i:370},
D{l:6,t:11,i:1778},
D{l:8,t:11,i:166},
D{l:11,t:11,i:812},
D{l:12,t:11,i:206},
D{l:12,t:11,i:351},
D{l:14,t:11,i:418},
D{l:16,t:11,i:15},
D{l:16,t:11,i:34},
D{l:18,t:11,i:3},
D{l:19,t:11,i:3},
D{l:19,t:11,i:7},
D{l:20,t:11,i:4},
D{l:149,t:11,i:21},
D{l:132,t:0,i:176},
D{l:5,t:0,i:636},
D{l:5,t:0,i:998},
D{l:7,t:0,i:9},
D{l:7,t:0,i:1508},
D{l:8,t:0,i:26},
D{l:9,t:0,i:317},
D{l:9,t:0,i:358},
D{l:10,t:0,i:210},
D{l:10,t:0,i:292},
D{l:10,t:0,i:533},
D{l:11,t:0,i:555},
D{l:12,t:0,i:526},
D{l:12,t:0,i:607},
D{l:13,t:0,i:263},
D{l:13,t:0,i:459},
D{l:142,t:0,i:271},
D{l:6,t:0,i:256},
D{l:8,t:0,i:265},
D{l:4,t:10,i:38},
D{l:7,t:10,i:307},
D{l:7,t:10,i:999},
D{l:7,t:10,i:1481},
D{l:7,t:10,i:1732},
D{l:7,t:10,i:1738},
D{l:9,t:10,i:414},
D{l:11,t:10,i:316},
D{l:12,t:10,i:52},
D{l:13,t:10,i:420},
D{l:147,t:10,i:100},
D{l:135,t:10,i:1296},
D{l:4,t:11,i:611},
D{l:133,t:11,i:606},
D{l:4,t:0,i:643},
D{l:142,t:11,i:21},
D{l:133,t:11,i:715},
D{l:133,t:10,i:723},
D{l:6,t:0,i:610},
D{l:135,t:11,i:597},
D{l:10,t:0,i:127},
D{l:141,t:0,i:27},
D{l:6,t:0,i:1995},
D{l:6,t:0,i:2001},
D{l:8,t:0,i:119},
D{l:136,t:0,i:973},
D{l:4,t:11,i:149},
D{l:138,t:11,i:368},
D{l:12,t:0,i:522},
D{l:4,t:11,i:154},
D{l:5,t:10,i:109},
D{l:6,t:10,i:1784},
D{l:7,t:11,i:1134},
D{l:7,t:10,i:1895},
D{l:8,t:11,i:105},
D{l:12,t:10,i:296},
D{l:140,t:10,i:302},
D{l:4,t:11,i:31},
D{l:6,t:11,i:429},
D{l:7,t:11,i:962},
D{l:9,t:11,i:458},
D{l:139,t:11,i:691},
D{l:10,t:0,i:553},
D{l:11,t:0,i:876},
D{l:13,t:0,i:193},
D{l:13,t:0,i:423},
D{l:14,t:0,i:166},
D{l:19,t:0,i:84},
D{l:4,t:11,i:312},
D{l:5,t:10,i:216},
D{l:7,t:10,i:1879},
D{l:9,t:10,i:141},
D{l:9,t:10,i:270},
D{l:9,t:10,i:679},
D{l:10,t:10,i:159},
D{l:11,t:10,i:197},
D{l:12,t:10,i:538},
D{l:12,t:10,i:559},
D{l:14,t:10,i:144},
D{l:14,t:10,i:167},
D{l:143,t:10,i:67},
D{l:134,t:0,i:1582},
D{l:7,t:0,i:1578},
D{l:135,t:11,i:1578},
D{l:137,t:10,i:81},
D{l:132,t:11,i:236},
D{l:134,t:10,i:391},
D{l:134,t:0,i:795},
D{l:7,t:10,i:322},
D{l:136,t:10,i:249},
D{l:5,t:11,i:836},
D{l:5,t:11,i:857},
D{l:6,t:11,i:1680},
D{l:7,t:11,i:59},
D{l:147,t:11,i:53},
D{l:135,t:0,i:432},
D{l:10,t:11,i:68},
D{l:139,t:11,i:494},
D{l:4,t:11,i:81},
D{l:139,t:11,i:867},
D{l:7,t:0,i:126},
D{l:136,t:0,i:84},
D{l:142,t:11,i:280},
D{l:5,t:11,i:282},
D{l:8,t:11,i:650},
D{l:9,t:11,i:295},
D{l:9,t:11,i:907},
D{l:138,t:11,i:443},
D{l:136,t:0,i:790},
D{l:5,t:10,i:632},
D{l:138,t:10,i:526},
D{l:6,t:0,i:64},
D{l:12,t:0,i:377},
D{l:13,t:0,i:309},
D{l:14,t:0,i:141},
D{l:14,t:0,i:429},
D{l:14,t:11,i:141},
D{l:142,t:11,i:429},
D{l:134,t:0,i:1529},
D{l:6,t:0,i:321},
D{l:7,t:0,i:1857},
D{l:9,t:0,i:530},
D{l:19,t:0,i:99},
D{l:7,t:10,i:948},
D{l:7,t:10,i:1042},
D{l:8,t:10,i:235},
D{l:8,t:10,i:461},
D{l:9,t:10,i:453},
D{l:10,t:10,i:354},
D{l:145,t:10,i:77},
D{l:7,t:0,i:1104},
D{l:11,t:0,i:269},
D{l:11,t:0,i:539},
D{l:11,t:0,i:627},
D{l:11,t:0,i:706},
D{l:11,t:0,i:975},
D{l:12,t:0,i:248},
D{l:12,t:0,i:434},
D{l:12,t:0,i:600},
D{l:12,t:0,i:622},
D{l:13,t:0,i:297},
D{l:13,t:0,i:485},
D{l:14,t:0,i:69},
D{l:14,t:0,i:409},
D{l:143,t:0,i:108},
D{l:4,t:10,i:362},
D{l:7,t:10,i:52},
D{l:7,t:10,i:303},
D{l:10,t:11,i:70},
D{l:12,t:11,i:26},
D{l:14,t:11,i:17},
D{l:14,t:11,i:178},
D{l:15,t:11,i:34},
D{l:149,t:11,i:12},
D{l:11,t:0,i:977},
D{l:141,t:0,i:507},
D{l:9,t:0,i:34},
D{l:139,t:0,i:484},
D{l:5,t:10,i:196},
D{l:6,t:10,i:486},
D{l:7,t:10,i:212},
D{l:8,t:10,i:309},
D{l:136,t:10,i:346},
D{l:6,t:0,i:1700},
D{l:7,t:0,i:26},
D{l:7,t:0,i:293},
D{l:7,t:0,i:382},
D{l:7,t:0,i:1026},
D{l:7,t:0,i:1087},
D{l:7,t:0,i:2027},
D{l:8,t:0,i:24},
D{l:8,t:0,i:114},
D{l:8,t:0,i:252},
D{l:8,t:0,i:727},
D{l:8,t:0,i:729},
D{l:9,t:0,i:30},
D{l:9,t:0,i:199},
D{l:9,t:0,i:231},
D{l:9,t:0,i:251},
D{l:9,t:0,i:334},
D{l:9,t:0,i:361},
D{l:9,t:0,i:712},
D{l:10,t:0,i:55},
D{l:10,t:0,i:60},
D{l:10,t:0,i:232},
D{l:10,t:0,i:332},
D{l:10,t:0,i:384},
D{l:10,t:0,i:396},
D{l:10,t:0,i:504},
D{l:10,t:0,i:542},
D{l:10,t:0,i:652},
D{l:11,t:0,i:20},
D{l:11,t:0,i:48},
D{l:11,t:0,i:207},
D{l:11,t:0,i:291},
D{l:11,t:0,i:298},
D{l:11,t:0,i:342},
D{l:11,t:0,i:365},
D{l:11,t:0,i:394},
D{l:11,t:0,i:620},
D{l:11,t:0,i:705},
D{l:11,t:0,i:1017},
D{l:12,t:0,i:123},
D{l:12,t:0,i:340},
D{l:12,t:0,i:406},
D{l:12,t:0,i:643},
D{l:13,t:0,i:61},
D{l:13,t:0,i:269},
D{l:13,t:0,i:311},
D{l:13,t:0,i:319},
D{l:13,t:0,i:486},
D{l:14,t:0,i:234},
D{l:15,t:0,i:62},
D{l:15,t:0,i:85},
D{l:16,t:0,i:71},
D{l:18,t:0,i:119},
D{l:20,t:0,i:105},
D{l:135,t:10,i:1912},
D{l:4,t:11,i:71},
D{l:5,t:11,i:376},
D{l:7,t:11,i:119},
D{l:138,t:11,i:665},
D{l:10,t:0,i:918},
D{l:10,t:0,i:926},
D{l:4,t:10,i:686},
D{l:136,t:11,i:55},
D{l:138,t:10,i:625},
D{l:136,t:10,i:706},
D{l:132,t:11,i:479},
D{l:4,t:10,i:30},
D{l:133,t:10,i:43},
D{l:6,t:0,i:379},
D{l:7,t:0,i:270},
D{l:8,t:0,i:176},
D{l:8,t:0,i:183},
D{l:9,t:0,i:432},
D{l:9,t:0,i:661},
D{l:12,t:0,i:247},
D{l:12,t:0,i:617},
D{l:18,t:0,i:125},
D{l:7,t:11,i:607},
D{l:8,t:11,i:99},
D{l:152,t:11,i:4},
D{l:5,t:0,i:792},
D{l:133,t:0,i:900},
D{l:4,t:11,i:612},
D{l:133,t:11,i:561},
D{l:4,t:11,i:41},
D{l:4,t:10,i:220},
D{l:5,t:11,i:74},
D{l:7,t:10,i:1535},
D{l:7,t:11,i:1627},
D{l:11,t:11,i:871},
D{l:140,t:11,i:619},
D{l:135,t:0,i:1920},
D{l:7,t:11,i:94},
D{l:11,t:11,i:329},
D{l:11,t:11,i:965},
D{l:12,t:11,i:241},
D{l:14,t:11,i:354},
D{l:15,t:11,i:22},
D{l:148,t:11,i:63},
D{l:9,t:11,i:209},
D{l:137,t:11,i:300},
D{l:134,t:0,i:771},
D{l:135,t:0,i:1979},
D{l:4,t:0,i:901},
D{l:133,t:0,i:776},
D{l:142,t:0,i:254},
D{l:133,t:11,i:98},
D{l:9,t:11,i:16},
D{l:141,t:11,i:386},
D{l:133,t:11,i:984},
D{l:4,t:11,i:182},
D{l:6,t:11,i:205},
D{l:135,t:11,i:220},
D{l:7,t:10,i:1725},
D{l:7,t:10,i:1774},
D{l:138,t:10,i:393},
D{l:5,t:10,i:263},
D{l:134,t:10,i:414},
D{l:4,t:11,i:42},
D{l:9,t:11,i:205},
D{l:9,t:11,i:786},
D{l:138,t:11,i:659},
D{l:14,t:0,i:140},
D{l:148,t:0,i:41},
D{l:8,t:0,i:440},
D{l:10,t:0,i:359},
D{l:6,t:10,i:178},
D{l:6,t:11,i:289},
D{l:6,t:10,i:1750},
D{l:7,t:11,i:1670},
D{l:9,t:10,i:690},
D{l:10,t:10,i:155},
D{l:10,t:10,i:373},
D{l:11,t:10,i:698},
D{l:12,t:11,i:57},
D{l:13,t:10,i:155},
D{l:20,t:10,i:93},
D{l:151,t:11,i:4},
D{l:4,t:0,i:37},
D{l:5,t:0,i:334},
D{l:7,t:0,i:1253},
D{l:151,t:11,i:25},
D{l:4,t:0,i:508},
D{l:4,t:11,i:635},
D{l:5,t:10,i:97},
D{l:137,t:10,i:393},
D{l:139,t:11,i:533},
D{l:4,t:0,i:640},
D{l:133,t:0,i:513},
D{l:134,t:10,i:1639},
D{l:132,t:11,i:371},
D{l:4,t:11,i:272},
D{l:7,t:11,i:836},
D{l:7,t:11,i:1651},
D{l:145,t:11,i:89},
D{l:5,t:11,i:825},
D{l:6,t:11,i:444},
D{l:6,t:11,i:1640},
D{l:136,t:11,i:308},
D{l:4,t:10,i:191},
D{l:7,t:10,i:934},
D{l:8,t:10,i:647},
D{l:145,t:10,i:97},
D{l:12,t:0,i:246},
D{l:15,t:0,i:162},
D{l:19,t:0,i:64},
D{l:20,t:0,i:8},
D{l:20,t:0,i:95},
D{l:22,t:0,i:24},
D{l:152,t:0,i:17},
D{l:4,t:0,i:533},
D{l:5,t:10,i:165},
D{l:9,t:10,i:346},
D{l:138,t:10,i:655},
D{l:5,t:11,i:737},
D{l:139,t:10,i:885},
D{l:133,t:10,i:877},
D{l:8,t:10,i:128},
D{l:139,t:10,i:179},
D{l:137,t:11,i:307},
D{l:140,t:0,i:752},
D{l:133,t:0,i:920},
D{l:135,t:0,i:1048},
D{l:5,t:0,i:153},
D{l:6,t:0,i:580},
D{l:6,t:10,i:1663},
D{l:7,t:10,i:132},
D{l:7,t:10,i:1154},
D{l:7,t:10,i:1415},
D{l:7,t:10,i:1507},
D{l:12,t:10,i:493},
D{l:15,t:10,i:105},
D{l:151,t:10,i:15},
D{l:5,t:10,i:459},
D{l:7,t:10,i:1073},
D{l:8,t:10,i:241},
D{l:136,t:10,i:334},
D{l:138,t:0,i:391},
D{l:135,t:0,i:1952},
D{l:133,t:11,i:525},
D{l:8,t:11,i:641},
D{l:11,t:11,i:388},
D{l:140,t:11,i:580},
D{l:142,t:0,i:126},
D{l:134,t:0,i:640},
D{l:132,t:0,i:483},
D{l:7,t:0,i:1616},
D{l:9,t:0,i:69},
D{l:6,t:10,i:324},
D{l:6,t:10,i:520},
D{l:7,t:10,i:338},
D{l:7,t:10,i:1729},
D{l:8,t:10,i:228},
D{l:139,t:10,i:750},
D{l:5,t:11,i:493},
D{l:134,t:11,i:528},
D{l:135,t:0,i:734},
D{l:4,t:11,i:174},
D{l:135,t:11,i:911},
D{l:138,t:0,i:480},
D{l:9,t:0,i:495},
D{l:146,t:0,i:104},
D{l:135,t:10,i:705},
D{l:9,t:0,i:472},
D{l:4,t:10,i:73},
D{l:6,t:10,i:612},
D{l:7,t:10,i:927},
D{l:7,t:10,i:1330},
D{l:7,t:10,i:1822},
D{l:8,t:10,i:217},
D{l:9,t:10,i:765},
D{l:9,t:10,i:766},
D{l:10,t:10,i:408},
D{l:11,t:10,i:51},
D{l:11,t:10,i:793},
D{l:12,t:10,i:266},
D{l:15,t:10,i:158},
D{l:20,t:10,i:89},
D{l:150,t:10,i:32},
D{l:7,t:11,i:548},
D{l:137,t:11,i:58},
D{l:4,t:11,i:32},
D{l:5,t:11,i:215},
D{l:6,t:11,i:269},
D{l:7,t:11,i:1782},
D{l:7,t:11,i:1892},
D{l:10,t:11,i:16},
D{l:11,t:11,i:822},
D{l:11,t:11,i:954},
D{l:141,t:11,i:481},
D{l:132,t:0,i:874},
D{l:9,t:0,i:229},
D{l:5,t:10,i:389},
D{l:136,t:10,i:636},
D{l:7,t:11,i:1749},
D{l:136,t:11,i:477},
D{l:134,t:0,i:948},
D{l:5,t:11,i:308},
D{l:135,t:11,i:1088},
D{l:4,t:0,i:748},
D{l:139,t:0,i:1009},
D{l:136,t:10,i:21},
D{l:6,t:0,i:555},
D{l:135,t:0,i:485},
D{l:5,t:11,i:126},
D{l:8,t:11,i:297},
D{l:9,t:11,i:366},
D{l:9,t:11,i:445},
D{l:12,t:11,i:53},
D{l:12,t:11,i:374},
D{l:141,t:11,i:492},
D{l:7,t:11,i:1551},
D{l:139,t:11,i:361},
D{l:136,t:0,i:193},
D{l:136,t:0,i:472},
D{l:8,t:0,i:653},
D{l:13,t:0,i:93},
D{l:147,t:0,i:14},
D{l:132,t:0,i:984},
D{l:132,t:11,i:175},
D{l:5,t:0,i:172},
D{l:6,t:0,i:1971},
D{l:132,t:11,i:685},
D{l:149,t:11,i:8},
D{l:133,t:11,i:797},
D{l:13,t:0,i:83},
D{l:5,t:10,i:189},
D{l:7,t:10,i:442},
D{l:7,t:10,i:443},
D{l:8,t:10,i:281},
D{l:12,t:10,i:174},
D{l:141,t:10,i:261},
D{l:134,t:0,i:1568},
D{l:133,t:11,i:565},
D{l:139,t:0,i:384},
D{l:133,t:0,i:260},
D{l:7,t:0,i:758},
D{l:7,t:0,i:880},
D{l:7,t:0,i:1359},
D{l:9,t:0,i:164},
D{l:9,t:0,i:167},
D{l:10,t:0,i:156},
D{l:10,t:0,i:588},
D{l:12,t:0,i:101},
D{l:14,t:0,i:48},
D{l:15,t:0,i:70},
D{l:6,t:10,i:2},
D{l:7,t:10,i:1262},
D{l:7,t:10,i:1737},
D{l:8,t:10,i:22},
D{l:8,t:10,i:270},
D{l:8,t:10,i:612},
D{l:9,t:10,i:312},
D{l:9,t:10,i:436},
D{l:10,t:10,i:311},
D{l:10,t:10,i:623},
D{l:11,t:10,i:72},
D{l:11,t:10,i:330},
D{l:11,t:10,i:455},
D{l:12,t:10,i:321},
D{l:12,t:10,i:504},
D{l:12,t:10,i:530},
D{l:12,t:10,i:543},
D{l:13,t:10,i:17},
D{l:13,t:10,i:156},
D{l:13,t:10,i:334},
D{l:17,t:10,i:60},
D{l:148,t:10,i:64},
D{l:4,t:11,i:252},
D{l:7,t:11,i:1068},
D{l:10,t:11,i:434},
D{l:11,t:11,i:228},
D{l:11,t:11,i:426},
D{l:13,t:11,i:231},
D{l:18,t:11,i:106},
D{l:148,t:11,i:87},
D{l:7,t:10,i:354},
D{l:10,t:10,i:410},
D{l:139,t:10,i:815},
D{l:6,t:0,i:367},
D{l:7,t:10,i:670},
D{l:7,t:10,i:1327},
D{l:8,t:10,i:411},
D{l:8,t:10,i:435},
D{l:9,t:10,i:653},
D{l:9,t:10,i:740},
D{l:10,t:10,i:385},
D{l:11,t:10,i:222},
D{l:11,t:10,i:324},
D{l:11,t:10,i:829},
D{l:140,t:10,i:611},
D{l:7,t:0,i:1174},
D{l:6,t:10,i:166},
D{l:135,t:10,i:374},
D{l:146,t:0,i:121},
D{l:132,t:0,i:828},
D{l:5,t:11,i:231},
D{l:138,t:11,i:509},
D{l:7,t:11,i:601},
D{l:9,t:11,i:277},
D{l:9,t:11,i:674},
D{l:10,t:11,i:178},
D{l:10,t:11,i:257},
D{l:10,t:11,i:418},
D{l:11,t:11,i:531},
D{l:11,t:11,i:544},
D{l:11,t:11,i:585},
D{l:12,t:11,i:113},
D{l:12,t:11,i:475},
D{l:13,t:11,i:99},
D{l:142,t:11,i:428},
D{l:134,t:0,i:1541},
D{l:135,t:11,i:1779},
D{l:5,t:0,i:343},
D{l:134,t:10,i:398},
D{l:135,t:10,i:50},
D{l:135,t:11,i:1683},
D{l:4,t:0,i:440},
D{l:7,t:0,i:57},
D{l:8,t:0,i:167},
D{l:8,t:0,i:375},
D{l:9,t:0,i:82},
D{l:9,t:0,i:561},
D{l:9,t:0,i:744},
D{l:10,t:0,i:620},
D{l:137,t:11,i:744},
D{l:134,t:0,i:926},
D{l:6,t:10,i:517},
D{l:7,t:10,i:1159},
D{l:10,t:10,i:621},
D{l:139,t:10,i:192},
D{l:137,t:0,i:827},
D{l:8,t:0,i:194},
D{l:136,t:0,i:756},
D{l:10,t:10,i:223},
D{l:139,t:10,i:645},
D{l:7,t:10,i:64},
D{l:136,t:10,i:245},
D{l:4,t:11,i:399},
D{l:5,t:11,i:119},
D{l:5,t:11,i:494},
D{l:7,t:11,i:751},
D{l:137,t:11,i:556},
D{l:132,t:0,i:808},
D{l:135,t:0,i:22},
D{l:7,t:10,i:1763},
D{l:140,t:10,i:310},
D{l:5,t:0,i:639},
D{l:7,t:0,i:1249},
D{l:11,t:0,i:896},
D{l:134,t:11,i:584},
D{l:134,t:0,i:1614},
D{l:135,t:0,i:860},
D{l:135,t:11,i:1121},
D{l:5,t:10,i:129},
D{l:6,t:10,i:61},
D{l:135,t:10,i:947},
D{l:4,t:0,i:102},
D{l:7,t:0,i:815},
D{l:7,t:0,i:1699},
D{l:139,t:0,i:964},
D{l:13,t:10,i:505},
D{l:141,t:10,i:506},
D{l:139,t:10,i:1000},
D{l:132,t:11,i:679},
D{l:132,t:0,i:899},
D{l:132,t:0,i:569},
D{l:5,t:11,i:694},
D{l:137,t:11,i:714},
D{l:136,t:0,i:795},
D{l:6,t:0,i:2045},
D{l:139,t:11,i:7},
D{l:6,t:0,i:52},
D{l:9,t:0,i:104},
D{l:9,t:0,i:559},
D{l:12,t:0,i:308},
D{l:147,t:0,i:87},
D{l:4,t:0,i:301},
D{l:132,t:0,i:604},
D{l:133,t:10,i:637},
D{l:136,t:0,i:779},
D{l:5,t:11,i:143},
D{l:5,t:11,i:769},
D{l:6,t:11,i:1760},
D{l:7,t:11,i:682},
D{l:7,t:11,i:1992},
D{l:136,t:11,i:736},
D{l:137,t:10,i:590},
D{l:147,t:0,i:32},
D{l:137,t:11,i:527},
D{l:5,t:10,i:280},
D{l:135,t:10,i:1226},
D{l:134,t:0,i:494},
D{l:6,t:0,i:677},
D{l:6,t:0,i:682},
D{l:134,t:0,i:1044},
D{l:133,t:10,i:281},
D{l:135,t:10,i:1064},
D{l:7,t:0,i:508},
D{l:133,t:11,i:860},
D{l:6,t:11,i:422},
D{l:7,t:11,i:0},
D{l:7,t:11,i:1544},
D{l:9,t:11,i:577},
D{l:11,t:11,i:990},
D{l:12,t:11,i:141},
D{l:12,t:11,i:453},
D{l:13,t:11,i:47},
D{l:141,t:11,i:266},
D{l:134,t:0,i:1014},
D{l:5,t:11,i:515},
D{l:137,t:11,i:131},
D{l:134,t:0,i:957},
D{l:132,t:11,i:646},
D{l:6,t:0,i:310},
D{l:7,t:0,i:1849},
D{l:8,t:0,i:72},
D{l:8,t:0,i:272},
D{l:8,t:0,i:431},
D{l:9,t:0,i:12},
D{l:9,t:0,i:376},
D{l:10,t:0,i:563},
D{l:10,t:0,i:630},
D{l:10,t:0,i:796},
D{l:10,t:0,i:810},
D{l:11,t:0,i:367},
D{l:11,t:0,i:599},
D{l:11,t:0,i:686},
D{l:140,t:0,i:672},
D{l:7,t:0,i:570},
D{l:4,t:11,i:396},
D{l:7,t:10,i:120},
D{l:7,t:11,i:728},
D{l:8,t:10,i:489},
D{l:9,t:11,i:117},
D{l:9,t:10,i:319},
D{l:10,t:10,i:820},
D{l:11,t:10,i:1004},
D{l:12,t:10,i:379},
D{l:12,t:10,i:679},
D{l:13,t:10,i:117},
D{l:13,t:11,i:202},
D{l:13,t:10,i:412},
D{l:14,t:10,i:25},
D{l:15,t:10,i:52},
D{l:15,t:10,i:161},
D{l:16,t:10,i:47},
D{l:20,t:11,i:51},
D{l:149,t:10,i:2},
D{l:6,t:11,i:121},
D{l:6,t:11,i:124},
D{l:6,t:11,i:357},
D{l:7,t:11,i:1138},
D{l:7,t:11,i:1295},
D{l:8,t:11,i:162},
D{l:139,t:11,i:655},
D{l:8,t:0,i:449},
D{l:4,t:10,i:937},
D{l:5,t:10,i:801},
D{l:136,t:11,i:449},
D{l:139,t:11,i:958},
D{l:6,t:0,i:181},
D{l:7,t:0,i:537},
D{l:8,t:0,i:64},
D{l:9,t:0,i:127},
D{l:10,t:0,i:496},
D{l:12,t:0,i:510},
D{l:141,t:0,i:384},
D{l:138,t:11,i:253},
D{l:4,t:0,i:244},
D{l:135,t:0,i:233},
D{l:133,t:11,i:237},
D{l:132,t:10,i:365},
D{l:6,t:0,i:1650},
D{l:10,t:0,i:702},
D{l:139,t:0,i:245},
D{l:5,t:10,i:7},
D{l:139,t:10,i:774},
D{l:13,t:0,i:463},
D{l:20,t:0,i:49},
D{l:13,t:11,i:463},
D{l:148,t:11,i:49},
D{l:4,t:10,i:734},
D{l:5,t:10,i:662},
D{l:134,t:10,i:430},
D{l:4,t:10,i:746},
D{l:135,t:10,i:1090},
D{l:5,t:10,i:360},
D{l:136,t:10,i:237},
D{l:137,t:0,i:338},
D{l:143,t:11,i:10},
D{l:7,t:11,i:571},
D{l:138,t:11,i:366},
D{l:134,t:0,i:1279},
D{l:9,t:11,i:513},
D{l:10,t:11,i:22},
D{l:10,t:11,i:39},
D{l:12,t:11,i:122},
D{l:140,t:11,i:187},
D{l:133,t:0,i:896},
D{l:146,t:0,i:178},
D{l:134,t:0,i:695},
D{l:137,t:0,i:808},
D{l:134,t:11,i:587},
D{l:7,t:11,i:107},
D{l:7,t:11,i:838},
D{l:8,t:11,i:550},
D{l:138,t:11,i:401},
D{l:7,t:0,i:1117},
D{l:136,t:0,i:539},
D{l:4,t:10,i:277},
D{l:5,t:10,i:608},
D{l:6,t:10,i:493},
D{l:7,t:10,i:457},
D{l:140,t:10,i:384},
D{l:133,t:11,i:768},
D{l:12,t:0,i:257},
D{l:7,t:10,i:27},
D{l:135,t:10,i:316},
D{l:140,t:0,i:1003},
D{l:4,t:0,i:207},
D{l:5,t:0,i:586},
D{l:5,t:0,i:676},
D{l:6,t:0,i:448},
D{l:8,t:0,i:244},
D{l:11,t:0,i:1},
D{l:13,t:0,i:3},
D{l:16,t:0,i:54},
D{l:17,t:0,i:4},
D{l:18,t:0,i:13},
D{l:133,t:10,i:552},
D{l:4,t:10,i:401},
D{l:137,t:10,i:264},
D{l:5,t:0,i:516},
D{l:7,t:0,i:1883},
D{l:135,t:11,i:1883},
D{l:12,t:0,i:960},
D{l:132,t:11,i:894},
D{l:5,t:0,i:4},
D{l:5,t:0,i:810},
D{l:6,t:0,i:13},
D{l:6,t:0,i:538},
D{l:6,t:0,i:1690},
D{l:6,t:0,i:1726},
D{l:7,t:0,i:499},
D{l:7,t:0,i:1819},
D{l:8,t:0,i:148},
D{l:8,t:0,i:696},
D{l:8,t:0,i:791},
D{l:12,t:0,i:125},
D{l:143,t:0,i:9},
D{l:135,t:0,i:1268},
D{l:11,t:0,i:30},
D{l:14,t:0,i:315},
D{l:9,t:10,i:543},
D{l:10,t:10,i:524},
D{l:12,t:10,i:524},
D{l:16,t:10,i:18},
D{l:20,t:10,i:26},
D{l:148,t:10,i:65},
D{l:6,t:0,i:748},
D{l:4,t:10,i:205},
D{l:5,t:10,i:623},
D{l:7,t:10,i:104},
D{l:136,t:10,i:519},
D{l:11,t:0,i:542},
D{l:139,t:0,i:852},
D{l:140,t:0,i:6},
D{l:132,t:0,i:848},
D{l:7,t:0,i:1385},
D{l:11,t:0,i:582},
D{l:11,t:0,i:650},
D{l:11,t:0,i:901},
D{l:11,t:0,i:949},
D{l:12,t:0,i:232},
D{l:12,t:0,i:236},
D{l:13,t:0,i:413},
D{l:13,t:0,i:501},
D{l:18,t:0,i:116},
D{l:7,t:10,i:579},
D{l:9,t:10,i:41},
D{l:9,t:10,i:244},
D{l:9,t:10,i:669},
D{l:10,t:10,i:5},
D{l:11,t:10,i:861},
D{l:11,t:10,i:951},
D{l:139,t:10,i:980},
D{l:4,t:0,i:945},
D{l:6,t:0,i:1811},
D{l:6,t:0,i:1845},
D{l:6,t:0,i:1853},
D{l:6,t:0,i:1858},
D{l:8,t:0,i:862},
D{l:12,t:0,i:782},
D{l:12,t:0,i:788},
D{l:18,t:0,i:160},
D{l:148,t:0,i:117},
D{l:132,t:10,i:717},
D{l:4,t:0,i:925},
D{l:5,t:0,i:803},
D{l:8,t:0,i:698},
D{l:138,t:0,i:828},
D{l:134,t:0,i:1416},
D{l:132,t:0,i:610},
D{l:139,t:0,i:992},
D{l:6,t:0,i:878},
D{l:134,t:0,i:1477},
D{l:135,t:0,i:1847},
D{l:138,t:11,i:531},
D{l:137,t:11,i:539},
D{l:134,t:11,i:272},
D{l:133,t:0,i:383},
D{l:134,t:0,i:1404},
D{l:132,t:10,i:489},
D{l:4,t:11,i:9},
D{l:5,t:11,i:128},
D{l:7,t:11,i:368},
D{l:11,t:11,i:480},
D{l:148,t:11,i:3},
D{l:136,t:0,i:986},
D{l:9,t:0,i:660},
D{l:138,t:0,i:347},
D{l:135,t:10,i:892},
D{l:136,t:11,i:682},
D{l:7,t:0,i:572},
D{l:9,t:0,i:592},
D{l:11,t:0,i:680},
D{l:12,t:0,i:356},
D{l:140,t:0,i:550},
D{l:7,t:0,i:1411},
D{l:138,t:11,i:527},
D{l:4,t:11,i:2},
D{l:7,t:11,i:545},
D{l:135,t:11,i:894},
D{l:137,t:10,i:473},
D{l:11,t:0,i:64},
D{l:7,t:11,i:481},
D{l:7,t:10,i:819},
D{l:9,t:10,i:26},
D{l:9,t:10,i:392},
D{l:9,t:11,i:792},
D{l:10,t:10,i:152},
D{l:10,t:10,i:226},
D{l:12,t:10,i:276},
D{l:12,t:10,i:426},
D{l:12,t:10,i:589},
D{l:13,t:10,i:460},
D{l:15,t:10,i:97},
D{l:19,t:10,i:48},
D{l:148,t:10,i:104},
D{l:135,t:10,i:51},
D{l:136,t:11,i:445},
D{l:136,t:11,i:646},
D{l:135,t:0,i:606},
D{l:132,t:10,i:674},
D{l:6,t:0,i:1829},
D{l:134,t:0,i:1830},
D{l:132,t:10,i:770},
D{l:5,t:10,i:79},
D{l:7,t:10,i:1027},
D{l:7,t:10,i:1477},
D{l:139,t:10,i:52},
D{l:5,t:11,i:530},
D{l:142,t:11,i:113},
D{l:134,t:10,i:1666},
D{l:7,t:0,i:748},
D{l:139,t:0,i:700},
D{l:134,t:10,i:195},
D{l:133,t:10,i:789},
D{l:9,t:0,i:87},
D{l:10,t:0,i:365},
D{l:4,t:10,i:251},
D{l:4,t:10,i:688},
D{l:7,t:10,i:513},
D{l:135,t:10,i:1284},
D{l:136,t:11,i:111},
D{l:133,t:0,i:127},
D{l:6,t:0,i:198},
D{l:140,t:0,i:83},
D{l:133,t:11,i:556},
D{l:133,t:10,i:889},
D{l:4,t:10,i:160},
D{l:5,t:10,i:330},
D{l:7,t:10,i:1434},
D{l:136,t:10,i:174},
D{l:5,t:0,i:276},
D{l:6,t:0,i:55},
D{l:7,t:0,i:1369},
D{l:138,t:0,i:864},
D{l:8,t:11,i:16},
D{l:140,t:11,i:568},
D{l:6,t:0,i:1752},
D{l:136,t:0,i:726},
D{l:135,t:0,i:1066},
D{l:133,t:0,i:764},
D{l:6,t:11,i:186},
D{l:137,t:11,i:426},
D{l:11,t:0,i:683},
D{l:139,t:11,i:683},
D{l:6,t:0,i:309},
D{l:7,t:0,i:331},
D{l:138,t:0,i:550},
D{l:133,t:10,i:374},
D{l:6,t:0,i:1212},
D{l:6,t:0,i:1852},
D{l:7,t:0,i:1062},
D{l:8,t:0,i:874},
D{l:8,t:0,i:882},
D{l:138,t:0,i:936},
D{l:132,t:11,i:585},
D{l:134,t:0,i:1364},
D{l:7,t:0,i:986},
D{l:133,t:10,i:731},
D{l:6,t:0,i:723},
D{l:6,t:0,i:1408},
D{l:138,t:0,i:381},
D{l:135,t:0,i:1573},
D{l:134,t:0,i:1025},
D{l:4,t:10,i:626},
D{l:5,t:10,i:642},
D{l:6,t:10,i:425},
D{l:10,t:10,i:202},
D{l:139,t:10,i:141},
D{l:4,t:11,i:93},
D{l:5,t:11,i:252},
D{l:6,t:11,i:229},
D{l:7,t:11,i:291},
D{l:9,t:11,i:550},
D{l:139,t:11,i:644},
D{l:137,t:11,i:749},
D{l:137,t:11,i:162},
D{l:132,t:11,i:381},
D{l:135,t:0,i:1559},
D{l:6,t:0,i:194},
D{l:7,t:0,i:133},
D{l:10,t:0,i:493},
D{l:10,t:0,i:570},
D{l:139,t:0,i:664},
D{l:5,t:0,i:24},
D{l:5,t:0,i:569},
D{l:6,t:0,i:3},
D{l:6,t:0,i:119},
D{l:6,t:0,i:143},
D{l:6,t:0,i:440},
D{l:7,t:0,i:295},
D{l:7,t:0,i:599},
D{l:7,t:0,i:1686},
D{l:7,t:0,i:1854},
D{l:8,t:0,i:424},
D{l:9,t:0,i:43},
D{l:9,t:0,i:584},
D{l:9,t:0,i:760},
D{l:10,t:0,i:148},
D{l:10,t:0,i:328},
D{l:11,t:0,i:159},
D{l:11,t:0,i:253},
D{l:11,t:0,i:506},
D{l:12,t:0,i:487},
D{l:140,t:0,i:531},
D{l:6,t:0,i:661},
D{l:134,t:0,i:1517},
D{l:136,t:10,i:835},
D{l:151,t:10,i:17},
D{l:5,t:0,i:14},
D{l:5,t:0,i:892},
D{l:6,t:0,i:283},
D{l:7,t:0,i:234},
D{l:136,t:0,i:537},
D{l:139,t:0,i:541},
D{l:4,t:0,i:126},
D{l:8,t:0,i:635},
D{l:147,t:0,i:34},
D{l:4,t:0,i:316},
D{l:4,t:0,i:495},
D{l:135,t:0,i:1561},
D{l:4,t:11,i:187},
D{l:5,t:11,i:184},
D{l:5,t:11,i:690},
D{l:7,t:11,i:1869},
D{l:138,t:11,i:756},
D{l:139,t:11,i:783},
D{l:4,t:0,i:998},
D{l:137,t:0,i:861},
D{l:136,t:0,i:1009},
D{l:139,t:11,i:292},
D{l:5,t:11,i:21},
D{l:6,t:11,i:77},
D{l:6,t:11,i:157},
D{l:7,t:11,i:974},
D{l:7,t:11,i:1301},
D{l:7,t:11,i:1339},
D{l:7,t:11,i:1490},
D{l:7,t:11,i:1873},
D{l:137,t:11,i:628},
D{l:7,t:11,i:1283},
D{l:9,t:11,i:227},
D{l:9,t:11,i:499},
D{l:10,t:11,i:341},
D{l:11,t:11,i:325},
D{l:11,t:11,i:408},
D{l:14,t:11,i:180},
D{l:15,t:11,i:144},
D{l:18,t:11,i:47},
D{l:147,t:11,i:49},
D{l:4,t:0,i:64},
D{l:5,t:0,i:352},
D{l:5,t:0,i:720},
D{l:6,t:0,i:368},
D{l:139,t:0,i:359},
D{l:5,t:10,i:384},
D{l:8,t:10,i:455},
D{l:140,t:10,i:48},
D{l:5,t:10,i:264},
D{l:134,t:10,i:184},
D{l:7,t:0,i:1577},
D{l:10,t:0,i:304},
D{l:10,t:0,i:549},
D{l:12,t:0,i:365},
D{l:13,t:0,i:220},
D{l:13,t:0,i:240},
D{l:142,t:0,i:33},
D{l:134,t:0,i:1107},
D{l:134,t:0,i:929},
D{l:135,t:0,i:1142},
D{l:6,t:0,i:175},
D{l:137,t:0,i:289},
D{l:5,t:0,i:432},
D{l:133,t:0,i:913},
D{l:6,t:0,i:279},
D{l:7,t:0,i:219},
D{l:5,t:10,i:633},
D{l:135,t:10,i:1323},
D{l:7,t:0,i:785},
D{l:7,t:10,i:359},
D{l:8,t:10,i:243},
D{l:140,t:10,i:175},
D{l:139,t:0,i:595},
D{l:132,t:10,i:105},
D{l:8,t:11,i:398},
D{l:9,t:11,i:681},
D{l:139,t:11,i:632},
D{l:140,t:0,i:80},
D{l:5,t:0,i:931},
D{l:134,t:0,i:1698},
D{l:142,t:11,i:241},
D{l:134,t:11,i:20},
D{l:134,t:0,i:1323},
D{l:11,t:0,i:526},
D{l:11,t:0,i:939},
D{l:141,t:0,i:290},
D{l:5,t:0,i:774},
D{l:6,t:0,i:780},
D{l:6,t:0,i:1637},
D{l:6,t:0,i:1686},
D{l:6,t:0,i:1751},
D{l:8,t:0,i:559},
D{l:141,t:0,i:109},
D{l:141,t:0,i:127},
D{l:7,t:0,i:1167},
D{l:11,t:0,i:934},
D{l:13,t:0,i:391},
D{l:17,t:0,i:76},
D{l:135,t:11,i:709},
D{l:135,t:0,i:963},
D{l:6,t:0,i:260},
D{l:135,t:0,i:1484},
D{l:134,t:0,i:573},
D{l:4,t:10,i:758},
D{l:139,t:11,i:941},
D{l:135,t:10,i:1649},
D{l:145,t:11,i:36},
D{l:4,t:0,i:292},
D{l:137,t:0,i:580},
D{l:4,t:0,i:736},
D{l:5,t:0,i:871},
D{l:6,t:0,i:1689},
D{l:135,t:0,i:1944},
D{l:7,t:11,i:945},
D{l:11,t:11,i:713},
D{l:139,t:11,i:744},
D{l:134,t:0,i:1164},
D{l:135,t:11,i:937},
D{l:6,t:0,i:1922},
D{l:9,t:0,i:982},
D{l:15,t:0,i:173},
D{l:15,t:0,i:178},
D{l:15,t:0,i:200},
D{l:18,t:0,i:189},
D{l:18,t:0,i:207},
D{l:21,t:0,i:47},
D{l:135,t:11,i:1652},
D{l:7,t:0,i:1695},
D{l:139,t:10,i:128},
D{l:6,t:0,i:63},
D{l:135,t:0,i:920},
D{l:133,t:0,i:793},
D{l:143,t:11,i:134},
D{l:133,t:10,i:918},
D{l:5,t:0,i:67},
D{l:6,t:0,i:62},
D{l:6,t:0,i:374},
D{l:135,t:0,i:1391},
D{l:9,t:0,i:790},
D{l:12,t:0,i:47},
D{l:4,t:11,i:579},
D{l:5,t:11,i:226},
D{l:5,t:11,i:323},
D{l:135,t:11,i:960},
D{l:10,t:11,i:784},
D{l:141,t:11,i:191},
D{l:4,t:0,i:391},
D{l:135,t:0,i:1169},
D{l:137,t:0,i:443},
D{l:13,t:11,i:232},
D{l:146,t:11,i:35},
D{l:132,t:10,i:340},
D{l:132,t:0,i:271},
D{l:137,t:11,i:313},
D{l:5,t:11,i:973},
D{l:137,t:11,i:659},
D{l:134,t:0,i:1140},
D{l:6,t:11,i:135},
D{l:135,t:11,i:1176},
D{l:4,t:0,i:253},
D{l:5,t:0,i:544},
D{l:7,t:0,i:300},
D{l:137,t:0,i:340},
D{l:7,t:0,i:897},
D{l:5,t:10,i:985},
D{l:7,t:10,i:509},
D{l:145,t:10,i:96},
D{l:138,t:11,i:735},
D{l:135,t:10,i:1919},
D{l:138,t:0,i:890},
D{l:5,t:0,i:818},
D{l:134,t:0,i:1122},
D{l:5,t:0,i:53},
D{l:5,t:0,i:541},
D{l:6,t:0,i:94},
D{l:6,t:0,i:499},
D{l:7,t:0,i:230},
D{l:139,t:0,i:321},
D{l:4,t:0,i:920},
D{l:5,t:0,i:25},
D{l:5,t:0,i:790},
D{l:6,t:0,i:457},
D{l:7,t:0,i:853},
D{l:8,t:0,i:788},
D{l:142,t:11,i:31},
D{l:132,t:10,i:247},
D{l:135,t:11,i:314},
D{l:132,t:0,i:468},
D{l:7,t:0,i:243},
D{l:6,t:10,i:337},
D{l:7,t:10,i:494},
D{l:8,t:10,i:27},
D{l:8,t:10,i:599},
D{l:138,t:10,i:153},
D{l:4,t:10,i:184},
D{l:5,t:10,i:390},
D{l:7,t:10,i:618},
D{l:7,t:10,i:1456},
D{l:139,t:10,i:710},
D{l:134,t:0,i:870},
D{l:134,t:0,i:1238},
D{l:134,t:0,i:1765},
D{l:10,t:0,i:853},
D{l:10,t:0,i:943},
D{l:14,t:0,i:437},
D{l:14,t:0,i:439},
D{l:14,t:0,i:443},
D{l:14,t:0,i:446},
D{l:14,t:0,i:452},
D{l:14,t:0,i:469},
D{l:14,t:0,i:471},
D{l:14,t:0,i:473},
D{l:16,t:0,i:93},
D{l:16,t:0,i:102},
D{l:16,t:0,i:110},
D{l:148,t:0,i:121},
D{l:4,t:0,i:605},
D{l:7,t:0,i:518},
D{l:7,t:0,i:1282},
D{l:7,t:0,i:1918},
D{l:10,t:0,i:180},
D{l:139,t:0,i:218},
D{l:133,t:0,i:822},
D{l:4,t:0,i:634},
D{l:11,t:0,i:916},
D{l:142,t:0,i:419},
D{l:6,t:11,i:281},
D{l:7,t:11,i:6},
D{l:8,t:11,i:282},
D{l:8,t:11,i:480},
D{l:8,t:11,i:499},
D{l:9,t:11,i:198},
D{l:10,t:11,i:143},
D{l:10,t:11,i:169},
D{l:10,t:11,i:211},
D{l:10,t:11,i:417},
D{l:10,t:11,i:574},
D{l:11,t:11,i:147},
D{l:11,t:11,i:395},
D{l:12,t:11,i:75},
D{l:12,t:11,i:407},
D{l:12,t:11,i:608},
D{l:13,t:11,i:500},
D{l:142,t:11,i:251},
D{l:134,t:0,i:898},
D{l:6,t:0,i:36},
D{l:7,t:0,i:658},
D{l:8,t:0,i:454},
D{l:150,t:11,i:48},
D{l:133,t:11,i:674},
D{l:135,t:11,i:1776},
D{l:4,t:11,i:419},
D{l:10,t:10,i:227},
D{l:11,t:10,i:497},
D{l:11,t:10,i:709},
D{l:140,t:10,i:415},
D{l:6,t:10,i:360},
D{l:7,t:10,i:1664},
D{l:136,t:10,i:478},
D{l:137,t:0,i:806},
D{l:12,t:11,i:508},
D{l:14,t:11,i:102},
D{l:14,t:11,i:226},
D{l:144,t:11,i:57},
D{l:135,t:11,i:1123},
D{l:4,t:11,i:138},
D{l:7,t:11,i:1012},
D{l:7,t:11,i:1280},
D{l:137,t:11,i:76},
D{l:5,t:11,i:29},
D{l:140,t:11,i:638},
D{l:136,t:10,i:699},
D{l:134,t:0,i:1326},
D{l:132,t:0,i:104},
D{l:135,t:11,i:735},
D{l:132,t:10,i:739},
D{l:134,t:0,i:1331},
D{l:7,t:0,i:260},
D{l:135,t:11,i:260},
D{l:135,t:11,i:1063},
D{l:7,t:0,i:45},
D{l:9,t:0,i:542},
D{l:9,t:0,i:566},
D{l:10,t:0,i:728},
D{l:137,t:10,i:869},
D{l:4,t:10,i:67},
D{l:5,t:10,i:422},
D{l:7,t:10,i:1037},
D{l:7,t:10,i:1289},
D{l:7,t:10,i:1555},
D{l:9,t:10,i:741},
D{l:145,t:10,i:108},
D{l:139,t:0,i:263},
D{l:134,t:0,i:1516},
D{l:14,t:0,i:146},
D{l:15,t:0,i:42},
D{l:16,t:0,i:23},
D{l:17,t:0,i:86},
D{l:146,t:0,i:17},
D{l:138,t:0,i:468},
D{l:136,t:0,i:1005},
D{l:4,t:11,i:17},
D{l:5,t:11,i:23},
D{l:7,t:11,i:995},
D{l:11,t:11,i:383},
D{l:11,t:11,i:437},
D{l:12,t:11,i:460},
D{l:140,t:11,i:532},
D{l:7,t:0,i:87},
D{l:142,t:0,i:288},
D{l:138,t:10,i:96},
D{l:135,t:11,i:626},
D{l:144,t:10,i:26},
D{l:7,t:0,i:988},
D{l:7,t:0,i:1939},
D{l:9,t:0,i:64},
D{l:9,t:0,i:502},
D{l:12,t:0,i:22},
D{l:12,t:0,i:34},
D{l:13,t:0,i:12},
D{l:13,t:0,i:234},
D{l:147,t:0,i:77},
D{l:13,t:0,i:133},
D{l:8,t:10,i:203},
D{l:11,t:10,i:823},
D{l:11,t:10,i:846},
D{l:12,t:10,i:482},
D{l:13,t:10,i:277},
D{l:13,t:10,i:302},
D{l:13,t:10,i:464},
D{l:14,t:10,i:205},
D{l:142,t:10,i:221},
D{l:4,t:10,i:449},
D{l:133,t:10,i:718},
D{l:135,t:0,i:141},
D{l:6,t:0,i:1842},
D{l:136,t:0,i:872},
D{l:8,t:11,i:70},
D{l:12,t:11,i:171},
D{l:141,t:11,i:272},
D{l:4,t:10,i:355},
D{l:6,t:10,i:311},
D{l:9,t:10,i:256},
D{l:138,t:10,i:404},
D{l:132,t:0,i:619},
D{l:137,t:0,i:261},
D{l:10,t:11,i:233},
D{l:10,t:10,i:758},
D{l:139,t:11,i:76},
D{l:5,t:0,i:246},
D{l:8,t:0,i:189},
D{l:9,t:0,i:355},
D{l:9,t:0,i:512},
D{l:10,t:0,i:124},
D{l:10,t:0,i:453},
D{l:11,t:0,i:143},
D{l:11,t:0,i:416},
D{l:11,t:0,i:859},
D{l:141,t:0,i:341},
D{l:134,t:11,i:442},
D{l:133,t:10,i:827},
D{l:5,t:10,i:64},
D{l:140,t:10,i:581},
D{l:4,t:10,i:442},
D{l:7,t:10,i:1047},
D{l:7,t:10,i:1352},
D{l:135,t:10,i:1643},
D{l:134,t:11,i:1709},
D{l:5,t:0,i:678},
D{l:6,t:0,i:305},
D{l:7,t:0,i:775},
D{l:7,t:0,i:1065},
D{l:133,t:10,i:977},
D{l:11,t:11,i:69},
D{l:12,t:11,i:105},
D{l:12,t:11,i:117},
D{l:13,t:11,i:213},
D{l:14,t:11,i:13},
D{l:14,t:11,i:62},
D{l:14,t:11,i:177},
D{l:14,t:11,i:421},
D{l:15,t:11,i:19},
D{l:146,t:11,i:141},
D{l:137,t:11,i:309},
D{l:5,t:0,i:35},
D{l:7,t:0,i:862},
D{l:7,t:0,i:1886},
D{l:138,t:0,i:179},
D{l:136,t:0,i:285},
D{l:132,t:0,i:517},
D{l:7,t:11,i:976},
D{l:9,t:11,i:146},
D{l:10,t:11,i:206},
D{l:10,t:11,i:596},
D{l:13,t:11,i:218},
D{l:142,t:11,i:153},
D{l:132,t:10,i:254},
D{l:6,t:0,i:214},
D{l:12,t:0,i:540},
D{l:4,t:10,i:275},
D{l:7,t:10,i:1219},
D{l:140,t:10,i:376},
D{l:8,t:0,i:667},
D{l:11,t:0,i:403},
D{l:146,t:0,i:83},
D{l:12,t:0,i:74},
D{l:10,t:11,i:648},
D{l:11,t:11,i:671},
D{l:143,t:11,i:46},
D{l:135,t:0,i:125},
D{l:134,t:10,i:1753},
D{l:133,t:0,i:761},
D{l:6,t:0,i:912},
D{l:4,t:11,i:518},
D{l:6,t:10,i:369},
D{l:6,t:10,i:502},
D{l:7,t:10,i:1036},
D{l:7,t:11,i:1136},
D{l:8,t:10,i:348},
D{l:9,t:10,i:452},
D{l:10,t:10,i:26},
D{l:11,t:10,i:224},
D{l:11,t:10,i:387},
D{l:11,t:10,i:772},
D{l:12,t:10,i:95},
D{l:12,t:10,i:629},
D{l:13,t:10,i:195},
D{l:13,t:10,i:207},
D{l:13,t:10,i:241},
D{l:14,t:10,i:260},
D{l:14,t:10,i:270},
D{l:143,t:10,i:140},
D{l:10,t:0,i:131},
D{l:140,t:0,i:72},
D{l:132,t:10,i:269},
D{l:5,t:10,i:480},
D{l:7,t:10,i:532},
D{l:7,t:10,i:1197},
D{l:7,t:10,i:1358},
D{l:8,t:10,i:291},
D{l:11,t:10,i:349},
D{l:142,t:10,i:396},
D{l:8,t:11,i:689},
D{l:137,t:11,i:863},
D{l:8,t:0,i:333},
D{l:138,t:0,i:182},
D{l:4,t:11,i:18},
D{l:7,t:11,i:145},
D{l:7,t:11,i:444},
D{l:7,t:11,i:1278},
D{l:8,t:11,i:49},
D{l:8,t:11,i:400},
D{l:9,t:11,i:71},
D{l:9,t:11,i:250},
D{l:10,t:11,i:459},
D{l:12,t:11,i:160},
D{l:144,t:11,i:24},
D{l:14,t:11,i:35},
D{l:142,t:11,i:191},
D{l:135,t:11,i:1864},
D{l:135,t:0,i:1338},
D{l:148,t:10,i:15},
D{l:14,t:0,i:94},
D{l:15,t:0,i:65},
D{l:16,t:0,i:4},
D{l:16,t:0,i:77},
D{l:16,t:0,i:80},
D{l:145,t:0,i:5},
D{l:12,t:11,i:82},
D{l:143,t:11,i:36},
D{l:133,t:11,i:1010},
D{l:133,t:0,i:449},
D{l:133,t:0,i:646},
D{l:7,t:0,i:86},
D{l:8,t:0,i:103},
D{l:135,t:10,i:657},
D{l:7,t:0,i:2028},
D{l:138,t:0,i:641},
D{l:136,t:10,i:533},
D{l:134,t:0,i:1},
D{l:139,t:11,i:970},
D{l:5,t:11,i:87},
D{l:7,t:11,i:313},
D{l:7,t:11,i:1103},
D{l:10,t:11,i:112},
D{l:10,t:11,i:582},
D{l:11,t:11,i:389},
D{l:11,t:11,i:813},
D{l:12,t:11,i:385},
D{l:13,t:11,i:286},
D{l:14,t:11,i:124},
D{l:146,t:11,i:108},
D{l:6,t:0,i:869},
D{l:132,t:11,i:267},
D{l:6,t:0,i:277},
D{l:7,t:0,i:1274},
D{l:7,t:0,i:1386},
D{l:146,t:0,i:87},
D{l:6,t:0,i:187},
D{l:7,t:0,i:39},
D{l:7,t:0,i:1203},
D{l:8,t:0,i:380},
D{l:14,t:0,i:117},
D{l:149,t:0,i:28},
D{l:4,t:10,i:211},
D{l:4,t:10,i:332},
D{l:5,t:10,i:335},
D{l:6,t:10,i:238},
D{l:7,t:10,i:269},
D{l:7,t:10,i:811},
D{l:7,t:10,i:1797},
D{l:8,t:10,i:836},
D{l:9,t:10,i:507},
D{l:141,t:10,i:242},
D{l:4,t:0,i:785},
D{l:5,t:0,i:368},
D{l:6,t:0,i:297},
D{l:7,t:0,i:793},
D{l:139,t:0,i:938},
D{l:7,t:0,i:464},
D{l:8,t:0,i:558},
D{l:11,t:0,i:105},
D{l:12,t:0,i:231},
D{l:14,t:0,i:386},
D{l:15,t:0,i:102},
D{l:148,t:0,i:75},
D{l:133,t:10,i:1009},
D{l:8,t:0,i:877},
D{l:140,t:0,i:731},
D{l:139,t:11,i:289},
D{l:10,t:11,i:249},
D{l:139,t:11,i:209},
D{l:132,t:11,i:561},
D{l:134,t:0,i:1608},
D{l:132,t:11,i:760},
D{l:134,t:0,i:1429},
D{l:9,t:11,i:154},
D{l:140,t:11,i:485},
D{l:5,t:10,i:228},
D{l:6,t:10,i:203},
D{l:7,t:10,i:156},
D{l:8,t:10,i:347},
D{l:137,t:10,i:265},
D{l:7,t:0,i:1010},
D{l:11,t:0,i:733},
D{l:11,t:0,i:759},
D{l:13,t:0,i:34},
D{l:14,t:0,i:427},
D{l:146,t:0,i:45},
D{l:7,t:10,i:1131},
D{l:135,t:10,i:1468},
D{l:136,t:11,i:255},
D{l:7,t:0,i:1656},
D{l:9,t:0,i:369},
D{l:10,t:0,i:338},
D{l:10,t:0,i:490},
D{l:11,t:0,i:154},
D{l:11,t:0,i:545},
D{l:11,t:0,i:775},
D{l:13,t:0,i:77},
D{l:141,t:0,i:274},
D{l:133,t:11,i:621},
D{l:134,t:0,i:1038},
D{l:4,t:11,i:368},
D{l:135,t:11,i:641},
D{l:6,t:0,i:2010},
D{l:8,t:0,i:979},
D{l:8,t:0,i:985},
D{l:10,t:0,i:951},
D{l:138,t:0,i:1011},
D{l:134,t:0,i:1005},
D{l:19,t:0,i:121},
D{l:5,t:10,i:291},
D{l:5,t:10,i:318},
D{l:7,t:10,i:765},
D{l:9,t:10,i:389},
D{l:140,t:10,i:548},
D{l:5,t:0,i:20},
D{l:6,t:0,i:298},
D{l:7,t:0,i:659},
D{l:137,t:0,i:219},
D{l:7,t:0,i:1440},
D{l:11,t:0,i:854},
D{l:11,t:0,i:872},
D{l:11,t:0,i:921},
D{l:12,t:0,i:551},
D{l:13,t:0,i:472},
D{l:142,t:0,i:367},
D{l:5,t:0,i:490},
D{l:6,t:0,i:615},
D{l:6,t:0,i:620},
D{l:135,t:0,i:683},
D{l:6,t:0,i:1070},
D{l:134,t:0,i:1597},
D{l:139,t:0,i:522},
D{l:132,t:0,i:439},
D{l:136,t:0,i:669},
D{l:6,t:0,i:766},
D{l:6,t:0,i:1143},
D{l:6,t:0,i:1245},
D{l:10,t:10,i:525},
D{l:139,t:10,i:82},
D{l:9,t:11,i:92},
D{l:147,t:11,i:91},
D{l:6,t:0,i:668},
D{l:134,t:0,i:1218},
D{l:6,t:11,i:525},
D{l:9,t:11,i:876},
D{l:140,t:11,i:284},
D{l:132,t:0,i:233},
D{l:136,t:0,i:547},
D{l:132,t:10,i:422},
D{l:5,t:10,i:355},
D{l:145,t:10,i:0},
D{l:6,t:11,i:300},
D{l:135,t:11,i:1515},
D{l:4,t:0,i:482},
D{l:137,t:10,i:905},
D{l:4,t:0,i:886},
D{l:7,t:0,i:346},
D{l:133,t:11,i:594},
D{l:133,t:10,i:865},
D{l:5,t:10,i:914},
D{l:134,t:10,i:1625},
D{l:135,t:0,i:334},
D{l:5,t:0,i:795},
D{l:6,t:0,i:1741},
D{l:133,t:10,i:234},
D{l:135,t:10,i:1383},
D{l:6,t:11,i:1641},
D{l:136,t:11,i:820},
D{l:135,t:0,i:371},
D{l:7,t:11,i:1313},
D{l:138,t:11,i:660},
D{l:135,t:10,i:1312},
D{l:135,t:0,i:622},
D{l:7,t:0,i:625},
D{l:135,t:0,i:1750},
D{l:135,t:0,i:339},
D{l:4,t:0,i:203},
D{l:135,t:0,i:1936},
D{l:15,t:0,i:29},
D{l:16,t:0,i:38},
D{l:15,t:11,i:29},
D{l:144,t:11,i:38},
D{l:5,t:0,i:338},
D{l:135,t:0,i:1256},
D{l:135,t:10,i:1493},
D{l:10,t:0,i:130},
D{l:6,t:10,i:421},
D{l:7,t:10,i:61},
D{l:7,t:10,i:1540},
D{l:138,t:10,i:501},
D{l:6,t:11,i:389},
D{l:7,t:11,i:149},
D{l:9,t:11,i:142},
D{l:138,t:11,i:94},
D{l:137,t:10,i:341},
D{l:11,t:0,i:678},
D{l:12,t:0,i:307},
D{l:142,t:10,i:98},
D{l:6,t:11,i:8},
D{l:7,t:11,i:1881},
D{l:136,t:11,i:91},
D{l:135,t:0,i:2044},
D{l:6,t:0,i:770},
D{l:6,t:0,i:802},
D{l:6,t:0,i:812},
D{l:7,t:0,i:311},
D{l:9,t:0,i:308},
D{l:12,t:0,i:255},
D{l:6,t:10,i:102},
D{l:7,t:10,i:72},
D{l:15,t:10,i:142},
D{l:147,t:10,i:67},
D{l:151,t:10,i:30},
D{l:135,t:10,i:823},
D{l:135,t:0,i:1266},
D{l:135,t:11,i:1746},
D{l:135,t:10,i:1870},
D{l:4,t:0,i:400},
D{l:5,t:0,i:267},
D{l:135,t:0,i:232},
D{l:7,t:11,i:24},
D{l:11,t:11,i:542},
D{l:139,t:11,i:852},
D{l:135,t:11,i:1739},
D{l:4,t:11,i:503},
D{l:135,t:11,i:1661},
D{l:5,t:11,i:130},
D{l:7,t:11,i:1314},
D{l:9,t:11,i:610},
D{l:10,t:11,i:718},
D{l:11,t:11,i:601},
D{l:11,t:11,i:819},
D{l:11,t:11,i:946},
D{l:140,t:11,i:536},
D{l:10,t:11,i:149},
D{l:11,t:11,i:280},
D{l:142,t:11,i:336},
D{l:7,t:0,i:739},
D{l:11,t:0,i:690},
D{l:7,t:11,i:1946},
D{l:8,t:10,i:48},
D{l:8,t:10,i:88},
D{l:8,t:10,i:582},
D{l:8,t:10,i:681},
D{l:9,t:10,i:373},
D{l:9,t:10,i:864},
D{l:11,t:10,i:157},
D{l:11,t:10,i:843},
D{l:148,t:10,i:27},
D{l:134,t:0,i:990},
D{l:4,t:10,i:88},
D{l:5,t:10,i:137},
D{l:5,t:10,i:174},
D{l:5,t:10,i:777},
D{l:6,t:10,i:1664},
D{l:6,t:10,i:1725},
D{l:7,t:10,i:77},
D{l:7,t:10,i:426},
D{l:7,t:10,i:1317},
D{l:7,t:10,i:1355},
D{l:8,t:10,i:126},
D{l:8,t:10,i:563},
D{l:9,t:10,i:523},
D{l:9,t:10,i:750},
D{l:10,t:10,i:310},
D{l:10,t:10,i:836},
D{l:11,t:10,i:42},
D{l:11,t:10,i:318},
D{l:11,t:10,i:731},
D{l:12,t:10,i:68},
D{l:12,t:10,i:92},
D{l:12,t:10,i:507},
D{l:12,t:10,i:692},
D{l:13,t:10,i:81},
D{l:13,t:10,i:238},
D{l:13,t:10,i:374},
D{l:14,t:10,i:436},
D{l:18,t:10,i:138},
D{l:19,t:10,i:78},
D{l:19,t:10,i:111},
D{l:20,t:10,i:55},
D{l:20,t:10,i:77},
D{l:148,t:10,i:92},
D{l:141,t:10,i:418},
D{l:7,t:0,i:1831},
D{l:132,t:10,i:938},
D{l:6,t:0,i:776},
D{l:134,t:0,i:915},
D{l:138,t:10,i:351},
D{l:5,t:11,i:348},
D{l:6,t:11,i:522},
D{l:6,t:10,i:1668},
D{l:7,t:10,i:1499},
D{l:8,t:10,i:117},
D{l:9,t:10,i:314},
D{l:138,t:10,i:174},
D{l:135,t:10,i:707},
D{l:132,t:0,i:613},
D{l:133,t:10,i:403},
D{l:132,t:11,i:392},
D{l:5,t:11,i:433},
D{l:9,t:11,i:633},
D{l:139,t:11,i:629},
D{l:133,t:0,i:763},
D{l:132,t:0,i:878},
D{l:132,t:0,i:977},
D{l:132,t:0,i:100},
D{l:6,t:0,i:463},
D{l:4,t:10,i:44},
D{l:5,t:10,i:311},
D{l:7,t:10,i:639},
D{l:7,t:10,i:762},
D{l:7,t:10,i:1827},
D{l:9,t:10,i:8},
D{l:9,t:10,i:462},
D{l:148,t:10,i:83},
D{l:134,t:11,i:234},
D{l:4,t:10,i:346},
D{l:7,t:10,i:115},
D{l:9,t:10,i:180},
D{l:9,t:10,i:456},
D{l:138,t:10,i:363},
D{l:5,t:0,i:362},
D{l:5,t:0,i:443},
D{l:6,t:0,i:318},
D{l:7,t:0,i:1019},
D{l:139,t:0,i:623},
D{l:5,t:0,i:463},
D{l:8,t:0,i:296},
D{l:7,t:11,i:140},
D{l:7,t:11,i:1950},
D{l:8,t:11,i:680},
D{l:11,t:11,i:817},
D{l:147,t:11,i:88},
D{l:7,t:11,i:1222},
D{l:138,t:11,i:386},
D{l:142,t:0,i:137},
D{l:132,t:0,i:454},
D{l:7,t:0,i:1914},
D{l:6,t:11,i:5},
D{l:7,t:10,i:1051},
D{l:9,t:10,i:545},
D{l:11,t:11,i:249},
D{l:12,t:11,i:313},
D{l:16,t:11,i:66},
D{l:145,t:11,i:26},
D{l:135,t:0,i:1527},
D{l:145,t:0,i:58},
D{l:148,t:11,i:59},
D{l:5,t:0,i:48},
D{l:5,t:0,i:404},
D{l:6,t:0,i:557},
D{l:7,t:0,i:458},
D{l:8,t:0,i:597},
D{l:10,t:0,i:455},
D{l:10,t:0,i:606},
D{l:11,t:0,i:49},
D{l:11,t:0,i:548},
D{l:12,t:0,i:476},
D{l:13,t:0,i:18},
D{l:141,t:0,i:450},
D{l:5,t:11,i:963},
D{l:134,t:11,i:1773},
D{l:133,t:0,i:729},
D{l:138,t:11,i:586},
D{l:5,t:0,i:442},
D{l:135,t:0,i:1984},
D{l:134,t:0,i:449},
D{l:144,t:0,i:40},
D{l:4,t:0,i:853},
D{l:7,t:11,i:180},
D{l:8,t:11,i:509},
D{l:136,t:11,i:792},
D{l:6,t:10,i:185},
D{l:7,t:10,i:1899},
D{l:9,t:10,i:875},
D{l:139,t:10,i:673},
D{l:134,t:11,i:524},
D{l:12,t:0,i:227},
D{l:4,t:10,i:327},
D{l:5,t:10,i:478},
D{l:7,t:10,i:1332},
D{l:136,t:10,i:753},
D{l:6,t:0,i:1491},
D{l:5,t:10,i:1020},
D{l:133,t:10,i:1022},
D{l:4,t:10,i:103},
D{l:133,t:10,i:401},
D{l:132,t:11,i:931},
D{l:4,t:10,i:499},
D{l:135,t:10,i:1421},
D{l:5,t:0,i:55},
D{l:7,t:0,i:376},
D{l:140,t:0,i:161},
D{l:133,t:0,i:450},
D{l:6,t:0,i:1174},
D{l:134,t:0,i:1562},
D{l:10,t:0,i:62},
D{l:13,t:0,i:400},
D{l:135,t:11,i:1837},
D{l:140,t:0,i:207},
D{l:135,t:0,i:869},
D{l:4,t:11,i:773},
D{l:5,t:11,i:618},
D{l:137,t:11,i:756},
D{l:132,t:10,i:96},
D{l:4,t:0,i:213},
D{l:7,t:0,i:223},
D{l:8,t:0,i:80},
D{l:135,t:10,i:968},
D{l:4,t:11,i:90},
D{l:5,t:11,i:337},
D{l:5,t:11,i:545},
D{l:7,t:11,i:754},
D{l:9,t:11,i:186},
D{l:10,t:11,i:72},
D{l:10,t:11,i:782},
D{l:11,t:11,i:513},
D{l:11,t:11,i:577},
D{l:11,t:11,i:610},
D{l:11,t:11,i:889},
D{l:11,t:11,i:961},
D{l:12,t:11,i:354},
D{l:12,t:11,i:362},
D{l:12,t:11,i:461},
D{l:12,t:11,i:595},
D{l:13,t:11,i:79},
D{l:143,t:11,i:121},
D{l:7,t:0,i:381},
D{l:7,t:0,i:806},
D{l:7,t:0,i:820},
D{l:8,t:0,i:354},
D{l:8,t:0,i:437},
D{l:8,t:0,i:787},
D{l:9,t:0,i:657},
D{l:10,t:0,i:58},
D{l:10,t:0,i:339},
D{l:10,t:0,i:749},
D{l:11,t:0,i:914},
D{l:12,t:0,i:162},
D{l:13,t:0,i:75},
D{l:14,t:0,i:106},
D{l:14,t:0,i:198},
D{l:14,t:0,i:320},
D{l:14,t:0,i:413},
D{l:146,t:0,i:43},
D{l:136,t:0,i:747},
D{l:136,t:0,i:954},
D{l:134,t:0,i:1073},
D{l:135,t:0,i:556},
D{l:7,t:11,i:151},
D{l:9,t:11,i:329},
D{l:139,t:11,i:254},
D{l:5,t:0,i:692},
D{l:134,t:0,i:1395},
D{l:6,t:10,i:563},
D{l:137,t:10,i:224},
D{l:134,t:0,i:191},
D{l:132,t:0,i:804},
D{l:9,t:11,i:187},
D{l:10,t:11,i:36},
D{l:17,t:11,i:44},
D{l:146,t:11,i:64},
D{l:7,t:11,i:165},
D{l:7,t:11,i:919},
D{l:136,t:11,i:517},
D{l:4,t:11,i:506},
D{l:5,t:11,i:295},
D{l:7,t:11,i:1680},
D{l:15,t:11,i:14},
D{l:144,t:11,i:5},
D{l:4,t:0,i:706},
D{l:6,t:0,i:162},
D{l:7,t:0,i:1960},
D{l:136,t:0,i:831},
D{l:135,t:11,i:1376},
D{l:7,t:11,i:987},
D{l:9,t:11,i:688},
D{l:10,t:11,i:522},
D{l:11,t:11,i:788},
D{l:140,t:11,i:566},
D{l:150,t:0,i:35},
D{l:138,t:0,i:426},
D{l:135,t:0,i:1235},
D{l:135,t:11,i:1741},
D{l:7,t:11,i:389},
D{l:7,t:11,i:700},
D{l:7,t:11,i:940},
D{l:8,t:11,i:514},
D{l:9,t:11,i:116},
D{l:9,t:11,i:535},
D{l:10,t:11,i:118},
D{l:11,t:11,i:107},
D{l:11,t:11,i:148},
D{l:11,t:11,i:922},
D{l:12,t:11,i:254},
D{l:12,t:11,i:421},
D{l:142,t:11,i:238},
D{l:134,t:0,i:1234},
D{l:132,t:11,i:743},
D{l:4,t:10,i:910},
D{l:5,t:10,i:832},
D{l:135,t:11,i:1335},
D{l:141,t:0,i:96},
D{l:135,t:11,i:185},
D{l:146,t:0,i:149},
D{l:4,t:0,i:204},
D{l:137,t:0,i:902},
D{l:4,t:11,i:784},
D{l:133,t:11,i:745},
D{l:136,t:0,i:833},
D{l:136,t:0,i:949},
D{l:7,t:0,i:366},
D{l:9,t:0,i:287},
D{l:12,t:0,i:199},
D{l:12,t:0,i:556},
D{l:12,t:0,i:577},
D{l:5,t:11,i:81},
D{l:7,t:11,i:146},
D{l:7,t:11,i:1342},
D{l:7,t:11,i:1446},
D{l:8,t:11,i:53},
D{l:8,t:11,i:561},
D{l:8,t:11,i:694},
D{l:8,t:11,i:754},
D{l:9,t:11,i:97},
D{l:9,t:11,i:115},
D{l:9,t:11,i:894},
D{l:10,t:11,i:462},
D{l:10,t:11,i:813},
D{l:11,t:11,i:230},
D{l:11,t:11,i:657},
D{l:11,t:11,i:699},
D{l:11,t:11,i:748},
D{l:12,t:11,i:119},
D{l:12,t:11,i:200},
D{l:12,t:11,i:283},
D{l:14,t:11,i:273},
D{l:145,t:11,i:15},
D{l:5,t:11,i:408},
D{l:137,t:11,i:747},
D{l:9,t:11,i:498},
D{l:140,t:11,i:181},
D{l:6,t:0,i:2020},
D{l:136,t:0,i:992},
D{l:5,t:0,i:356},
D{l:135,t:0,i:224},
D{l:134,t:0,i:784},
D{l:7,t:0,i:630},
D{l:9,t:0,i:567},
D{l:11,t:0,i:150},
D{l:11,t:0,i:444},
D{l:13,t:0,i:119},
D{l:8,t:10,i:528},
D{l:137,t:10,i:348},
D{l:134,t:0,i:539},
D{l:4,t:10,i:20},
D{l:133,t:10,i:616},
D{l:142,t:0,i:27},
D{l:7,t:11,i:30},
D{l:8,t:11,i:86},
D{l:8,t:11,i:315},
D{l:8,t:11,i:700},
D{l:9,t:11,i:576},
D{l:9,t:11,i:858},
D{l:11,t:11,i:310},
D{l:11,t:11,i:888},
D{l:11,t:11,i:904},
D{l:12,t:11,i:361},
D{l:141,t:11,i:248},
D{l:138,t:11,i:839},
D{l:134,t:0,i:755},
D{l:134,t:0,i:1063},
D{l:7,t:10,i:1091},
D{l:135,t:10,i:1765},
D{l:134,t:11,i:428},
D{l:7,t:11,i:524},
D{l:8,t:11,i:169},
D{l:8,t:11,i:234},
D{l:9,t:11,i:480},
D{l:138,t:11,i:646},
D{l:139,t:0,i:814},
D{l:7,t:11,i:1462},
D{l:139,t:11,i:659},
D{l:4,t:10,i:26},
D{l:5,t:10,i:429},
D{l:6,t:10,i:245},
D{l:7,t:10,i:704},
D{l:7,t:10,i:1379},
D{l:135,t:10,i:1474},
D{l:7,t:11,i:1205},
D{l:138,t:11,i:637},
D{l:139,t:11,i:803},
D{l:132,t:10,i:621},
D{l:136,t:0,i:987},
D{l:4,t:11,i:266},
D{l:8,t:11,i:4},
D{l:9,t:11,i:39},
D{l:10,t:11,i:166},
D{l:11,t:11,i:918},
D{l:12,t:11,i:635},
D{l:20,t:11,i:10},
D{l:22,t:11,i:27},
D{l:150,t:11,i:43},
D{l:4,t:0,i:235},
D{l:135,t:0,i:255},
D{l:4,t:0,i:194},
D{l:5,t:0,i:584},
D{l:6,t:0,i:384},
D{l:7,t:0,i:583},
D{l:10,t:0,i:761},
D{l:11,t:0,i:760},
D{l:139,t:0,i:851},
D{l:133,t:10,i:542},
D{l:134,t:0,i:1086},
D{l:133,t:10,i:868},
D{l:8,t:0,i:1016},
D{l:136,t:0,i:1018},
D{l:7,t:0,i:1396},
D{l:7,t:11,i:1396},
D{l:136,t:10,i:433},
D{l:135,t:10,i:1495},
D{l:138,t:10,i:215},
D{l:141,t:10,i:124},
D{l:7,t:11,i:157},
D{l:8,t:11,i:279},
D{l:9,t:11,i:759},
D{l:16,t:11,i:31},
D{l:16,t:11,i:39},
D{l:16,t:11,i:75},
D{l:18,t:11,i:24},
D{l:20,t:11,i:42},
D{l:152,t:11,i:1},
D{l:5,t:0,i:562},
D{l:134,t:11,i:604},
D{l:134,t:0,i:913},
D{l:5,t:0,i:191},
D{l:137,t:0,i:271},
D{l:4,t:0,i:470},
D{l:6,t:0,i:153},
D{l:7,t:0,i:1503},
D{l:7,t:0,i:1923},
D{l:10,t:0,i:701},
D{l:11,t:0,i:132},
D{l:11,t:0,i:227},
D{l:11,t:0,i:320},
D{l:11,t:0,i:436},
D{l:11,t:0,i:525},
D{l:11,t:0,i:855},
D{l:11,t:0,i:873},
D{l:12,t:0,i:41},
D{l:12,t:0,i:286},
D{l:13,t:0,i:103},
D{l:13,t:0,i:284},
D{l:14,t:0,i:255},
D{l:14,t:0,i:262},
D{l:15,t:0,i:117},
D{l:143,t:0,i:127},
D{l:7,t:0,i:475},
D{l:12,t:0,i:45},
D{l:147,t:10,i:112},
D{l:132,t:11,i:567},
D{l:137,t:11,i:859},
D{l:6,t:0,i:713},
D{l:6,t:0,i:969},
D{l:6,t:0,i:1290},
D{l:134,t:0,i:1551},
D{l:133,t:0,i:327},
D{l:6,t:0,i:552},
D{l:6,t:0,i:1292},
D{l:7,t:0,i:1754},
D{l:137,t:0,i:604},
D{l:4,t:0,i:223},
D{l:6,t:0,i:359},
D{l:11,t:0,i:3},
D{l:13,t:0,i:108},
D{l:14,t:0,i:89},
D{l:16,t:0,i:22},
D{l:5,t:11,i:762},
D{l:7,t:11,i:1880},
D{l:9,t:11,i:680},
D{l:139,t:11,i:798},
D{l:5,t:0,i:80},
D{l:6,t:0,i:405},
D{l:7,t:0,i:403},
D{l:7,t:0,i:1502},
D{l:8,t:0,i:456},
D{l:9,t:0,i:487},
D{l:9,t:0,i:853},
D{l:9,t:0,i:889},
D{l:10,t:0,i:309},
D{l:11,t:0,i:721},
D{l:11,t:0,i:994},
D{l:12,t:0,i:430},
D{l:141,t:0,i:165},
D{l:133,t:11,i:298},
D{l:132,t:10,i:647},
D{l:134,t:0,i:2016},
D{l:18,t:10,i:10},
D{l:146,t:11,i:10},
D{l:4,t:0,i:453},
D{l:5,t:0,i:887},
D{l:6,t:0,i:535},
D{l:8,t:0,i:6},
D{l:8,t:0,i:543},
D{l:136,t:0,i:826},
D{l:136,t:0,i:975},
D{l:10,t:0,i:961},
D{l:138,t:0,i:962},
D{l:138,t:10,i:220},
D{l:6,t:0,i:1891},
D{l:6,t:0,i:1893},
D{l:9,t:0,i:916},
D{l:9,t:0,i:965},
D{l:9,t:0,i:972},
D{l:12,t:0,i:801},
D{l:12,t:0,i:859},
D{l:12,t:0,i:883},
D{l:15,t:0,i:226},
D{l:149,t:0,i:51},
D{l:132,t:10,i:109},
D{l:135,t:11,i:267},
D{l:7,t:11,i:92},
D{l:7,t:11,i:182},
D{l:8,t:11,i:453},
D{l:9,t:11,i:204},
D{l:11,t:11,i:950},
D{l:12,t:11,i:94},
D{l:12,t:11,i:644},
D{l:16,t:11,i:20},
D{l:16,t:11,i:70},
D{l:16,t:11,i:90},
D{l:147,t:11,i:55},
D{l:134,t:10,i:1746},
D{l:6,t:11,i:71},
D{l:7,t:11,i:845},
D{l:7,t:11,i:1308},
D{l:8,t:11,i:160},
D{l:137,t:11,i:318},
D{l:5,t:0,i:101},
D{l:6,t:0,i:88},
D{l:7,t:0,i:263},
D{l:7,t:0,i:628},
D{l:7,t:0,i:1677},
D{l:8,t:0,i:349},
D{l:9,t:0,i:100},
D{l:10,t:0,i:677},
D{l:14,t:0,i:169},
D{l:14,t:0,i:302},
D{l:14,t:0,i:313},
D{l:15,t:0,i:48},
D{l:15,t:0,i:84},
D{l:7,t:11,i:237},
D{l:8,t:11,i:664},
D{l:9,t:11,i:42},
D{l:9,t:11,i:266},
D{l:9,t:11,i:380},
D{l:9,t:11,i:645},
D{l:10,t:11,i:177},
D{l:138,t:11,i:276},
D{l:138,t:11,i:69},
D{l:4,t:0,i:310},
D{l:7,t:0,i:708},
D{l:7,t:0,i:996},
D{l:9,t:0,i:795},
D{l:10,t:0,i:390},
D{l:10,t:0,i:733},
D{l:11,t:0,i:451},
D{l:12,t:0,i:249},
D{l:14,t:0,i:115},
D{l:14,t:0,i:286},
D{l:143,t:0,i:100},
D{l:5,t:0,i:587},
D{l:4,t:10,i:40},
D{l:10,t:10,i:67},
D{l:11,t:10,i:117},
D{l:11,t:10,i:768},
D{l:139,t:10,i:935},
D{l:6,t:0,i:1942},
D{l:7,t:0,i:512},
D{l:136,t:0,i:983},
D{l:7,t:10,i:992},
D{l:8,t:10,i:301},
D{l:9,t:10,i:722},
D{l:12,t:10,i:63},
D{l:13,t:10,i:29},
D{l:14,t:10,i:161},
D{l:143,t:10,i:18},
D{l:136,t:11,i:76},
D{l:139,t:10,i:923},
D{l:134,t:0,i:645},
D{l:134,t:0,i:851},
D{l:4,t:0,i:498},
D{l:132,t:11,i:293},
D{l:7,t:0,i:217},
D{l:8,t:0,i:140},
D{l:10,t:0,i:610},
D{l:14,t:11,i:352},
D{l:17,t:11,i:53},
D{l:18,t:11,i:146},
D{l:18,t:11,i:152},
D{l:19,t:11,i:11},
D{l:150,t:11,i:54},
D{l:134,t:0,i:1448},
D{l:138,t:11,i:841},
D{l:133,t:0,i:905},
D{l:4,t:11,i:605},
D{l:7,t:11,i:518},
D{l:7,t:11,i:1282},
D{l:7,t:11,i:1918},
D{l:10,t:11,i:180},
D{l:139,t:11,i:218},
D{l:139,t:11,i:917},
D{l:135,t:10,i:825},
D{l:140,t:10,i:328},
D{l:4,t:0,i:456},
D{l:7,t:0,i:105},
D{l:7,t:0,i:358},
D{l:7,t:0,i:1637},
D{l:8,t:0,i:643},
D{l:139,t:0,i:483},
D{l:134,t:0,i:792},
D{l:6,t:11,i:96},
D{l:135,t:11,i:1426},
D{l:137,t:11,i:691},
D{l:4,t:11,i:651},
D{l:133,t:11,i:289},
D{l:7,t:11,i:688},
D{l:8,t:11,i:35},
D{l:9,t:11,i:511},
D{l:10,t:11,i:767},
D{l:147,t:11,i:118},
D{l:150,t:0,i:56},
D{l:5,t:0,i:243},
D{l:5,t:0,i:535},
D{l:6,t:10,i:204},
D{l:10,t:10,i:320},
D{l:10,t:10,i:583},
D{l:13,t:10,i:502},
D{l:14,t:10,i:72},
D{l:14,t:10,i:274},
D{l:14,t:10,i:312},
D{l:14,t:10,i:344},
D{l:15,t:10,i:159},
D{l:16,t:10,i:62},
D{l:16,t:10,i:69},
D{l:17,t:10,i:30},
D{l:18,t:10,i:42},
D{l:18,t:10,i:53},
D{l:18,t:10,i:84},
D{l:18,t:10,i:140},
D{l:19,t:10,i:68},
D{l:19,t:10,i:85},
D{l:20,t:10,i:5},
D{l:20,t:10,i:45},
D{l:20,t:10,i:101},
D{l:22,t:10,i:7},
D{l:150,t:10,i:20},
D{l:4,t:10,i:558},
D{l:6,t:10,i:390},
D{l:7,t:10,i:162},
D{l:7,t:10,i:689},
D{l:9,t:10,i:360},
D{l:138,t:10,i:653},
D{l:146,t:11,i:23},
D{l:135,t:0,i:1748},
D{l:5,t:10,i:856},
D{l:6,t:10,i:1672},
D{l:6,t:10,i:1757},
D{l:134,t:10,i:1781},
D{l:5,t:0,i:539},
D{l:5,t:0,i:754},
D{l:6,t:0,i:876},
D{l:132,t:11,i:704},
D{l:135,t:11,i:1078},
D{l:5,t:10,i:92},
D{l:10,t:10,i:736},
D{l:140,t:10,i:102},
D{l:17,t:0,i:91},
D{l:5,t:10,i:590},
D{l:137,t:10,i:213},
D{l:134,t:0,i:1565},
D{l:6,t:0,i:91},
D{l:135,t:0,i:435},
D{l:4,t:0,i:939},
D{l:140,t:0,i:792},
D{l:134,t:0,i:1399},
D{l:4,t:0,i:16},
D{l:5,t:0,i:316},
D{l:5,t:0,i:842},
D{l:6,t:0,i:370},
D{l:6,t:0,i:1778},
D{l:8,t:0,i:166},
D{l:11,t:0,i:812},
D{l:12,t:0,i:206},
D{l:12,t:0,i:351},
D{l:14,t:0,i:418},
D{l:16,t:0,i:15},
D{l:16,t:0,i:34},
D{l:18,t:0,i:3},
D{l:19,t:0,i:3},
D{l:19,t:0,i:7},
D{l:20,t:0,i:4},
D{l:21,t:0,i:21},
D{l:4,t:11,i:720},
D{l:133,t:11,i:306},
D{l:144,t:0,i:95},
D{l:133,t:11,i:431},
D{l:132,t:11,i:234},
D{l:135,t:0,i:551},
D{l:4,t:0,i:999},
D{l:6,t:0,i:1966},
D{l:134,t:0,i:2042},
D{l:7,t:0,i:619},
D{l:10,t:0,i:547},
D{l:11,t:0,i:122},
D{l:12,t:0,i:601},
D{l:15,t:0,i:7},
D{l:148,t:0,i:20},
D{l:5,t:11,i:464},
D{l:6,t:11,i:236},
D{l:7,t:11,i:276},
D{l:7,t:11,i:696},
D{l:7,t:11,i:914},
D{l:7,t:11,i:1108},
D{l:7,t:11,i:1448},
D{l:9,t:11,i:15},
D{l:9,t:11,i:564},
D{l:10,t:11,i:14},
D{l:12,t:11,i:565},
D{l:13,t:11,i:449},
D{l:14,t:11,i:53},
D{l:15,t:11,i:13},
D{l:16,t:11,i:64},
D{l:145,t:11,i:41},
D{l:6,t:0,i:884},
D{l:6,t:0,i:1019},
D{l:134,t:0,i:1150},
D{l:6,t:11,i:1767},
D{l:12,t:11,i:194},
D{l:145,t:11,i:107},
D{l:136,t:10,i:503},
D{l:133,t:11,i:840},
D{l:7,t:0,i:671},
D{l:134,t:10,i:466},
D{l:132,t:0,i:888},
D{l:4,t:0,i:149},
D{l:138,t:0,i:368},
D{l:4,t:0,i:154},
D{l:7,t:0,i:1134},
D{l:136,t:0,i:105},
D{l:135,t:0,i:983},
D{l:9,t:11,i:642},
D{l:11,t:11,i:236},
D{l:142,t:11,i:193},
D{l:4,t:0,i:31},
D{l:6,t:0,i:429},
D{l:7,t:0,i:962},
D{l:9,t:0,i:458},
D{l:139,t:0,i:691},
D{l:6,t:0,i:643},
D{l:134,t:0,i:1102},
D{l:132,t:0,i:312},
D{l:4,t:11,i:68},
D{l:5,t:11,i:634},
D{l:6,t:11,i:386},
D{l:7,t:11,i:794},
D{l:8,t:11,i:273},
D{l:9,t:11,i:563},
D{l:10,t:11,i:105},
D{l:10,t:11,i:171},
D{l:11,t:11,i:94},
D{l:139,t:11,i:354},
D{l:133,t:0,i:740},
D{l:135,t:0,i:1642},
D{l:4,t:11,i:95},
D{l:7,t:11,i:416},
D{l:8,t:11,i:211},
D{l:139,t:11,i:830},
D{l:132,t:0,i:236},
D{l:138,t:10,i:241},
D{l:7,t:11,i:731},
D{l:13,t:11,i:20},
D{l:143,t:11,i:11},
D{l:5,t:0,i:836},
D{l:5,t:0,i:857},
D{l:6,t:0,i:1680},
D{l:135,t:0,i:59},
D{l:10,t:0,i:68},
D{l:11,t:0,i:494},
D{l:152,t:11,i:6},
D{l:4,t:0,i:81},
D{l:139,t:0,i:867},
D{l:135,t:0,i:795},
D{l:133,t:11,i:689},
D{l:4,t:0,i:1001},
D{l:5,t:0,i:282},
D{l:6,t:0,i:1932},
D{l:6,t:0,i:1977},
D{l:6,t:0,i:1987},
D{l:6,t:0,i:1992},
D{l:8,t:0,i:650},
D{l:8,t:0,i:919},
D{l:8,t:0,i:920},
D{l:8,t:0,i:923},
D{l:8,t:0,i:926},
D{l:8,t:0,i:927},
D{l:8,t:0,i:931},
D{l:8,t:0,i:939},
D{l:8,t:0,i:947},
D{l:8,t:0,i:956},
D{l:8,t:0,i:997},
D{l:9,t:0,i:907},
D{l:10,t:0,i:950},
D{l:10,t:0,i:953},
D{l:10,t:0,i:954},
D{l:10,t:0,i:956},
D{l:10,t:0,i:958},
D{l:10,t:0,i:959},
D{l:10,t:0,i:964},
D{l:10,t:0,i:970},
D{l:10,t:0,i:972},
D{l:10,t:0,i:973},
D{l:10,t:0,i:975},
D{l:10,t:0,i:976},
D{l:10,t:0,i:980},
D{l:10,t:0,i:981},
D{l:10,t:0,i:984},
D{l:10,t:0,i:988},
D{l:10,t:0,i:990},
D{l:10,t:0,i:995},
D{l:10,t:0,i:999},
D{l:10,t:0,i:1002},
D{l:10,t:0,i:1003},
D{l:10,t:0,i:1005},
D{l:10,t:0,i:1006},
D{l:10,t:0,i:1008},
D{l:10,t:0,i:1009},
D{l:10,t:0,i:1012},
D{l:10,t:0,i:1014},
D{l:10,t:0,i:1015},
D{l:10,t:0,i:1019},
D{l:10,t:0,i:1020},
D{l:10,t:0,i:1022},
D{l:12,t:0,i:959},
D{l:12,t:0,i:961},
D{l:12,t:0,i:962},
D{l:12,t:0,i:963},
D{l:12,t:0,i:964},
D{l:12,t:0,i:965},
D{l:12,t:0,i:967},
D{l:12,t:0,i:968},
D{l:12,t:0,i:969},
D{l:12,t:0,i:970},
D{l:12,t:0,i:971},
D{l:12,t:0,i:972},
D{l:12,t:0,i:973},
D{l:12,t:0,i:974},
D{l:12,t:0,i:975},
D{l:12,t:0,i:976},
D{l:12,t:0,i:977},
D{l:12,t:0,i:979},
D{l:12,t:0,i:981},
D{l:12,t:0,i:982},
D{l:12,t:0,i:983},
D{l:12,t:0,i:984},
D{l:12,t:0,i:985},
D{l:12,t:0,i:986},
D{l:12,t:0,i:987},
D{l:12,t:0,i:989},
D{l:12,t:0,i:990},
D{l:12,t:0,i:992},
D{l:12,t:0,i:993},
D{l:12,t:0,i:995},
D{l:12,t:0,i:998},
D{l:12,t:0,i:999},
D{l:12,t:0,i:1000},
D{l:12,t:0,i:1001},
D{l:12,t:0,i:1002},
D{l:12,t:0,i:1004},
D{l:12,t:0,i:1005},
D{l:12,t:0,i:1006},
D{l:12,t:0,i:1007},
D{l:12,t:0,i:1008},
D{l:12,t:0,i:1009},
D{l:12,t:0,i:1010},
D{l:12,t:0,i:1011},
D{l:12,t:0,i:1012},
D{l:12,t:0,i:1014},
D{l:12,t:0,i:1015},
D{l:12,t:0,i:1016},
D{l:12,t:0,i:1017},
D{l:12,t:0,i:1018},
D{l:12,t:0,i:1019},
D{l:12,t:0,i:1022},
D{l:12,t:0,i:1023},
D{l:14,t:0,i:475},
D{l:14,t:0,i:477},
D{l:14,t:0,i:478},
D{l:14,t:0,i:479},
D{l:14,t:0,i:480},
D{l:14,t:0,i:482},
D{l:14,t:0,i:483},
D{l:14,t:0,i:484},
D{l:14,t:0,i:485},
D{l:14,t:0,i:486},
D{l:14,t:0,i:487},
D{l:14,t:0,i:488},
D{l:14,t:0,i:489},
D{l:14,t:0,i:490},
D{l:14,t:0,i:491},
D{l:14,t:0,i:492},
D{l:14,t:0,i:493},
D{l:14,t:0,i:494},
D{l:14,t:0,i:495},
D{l:14,t:0,i:496},
D{l:14,t:0,i:497},
D{l:14,t:0,i:498},
D{l:14,t:0,i:499},
D{l:14,t:0,i:500},
D{l:14,t:0,i:501},
D{l:14,t:0,i:502},
D{l:14,t:0,i:503},
D{l:14,t:0,i:504},
D{l:14,t:0,i:506},
D{l:14,t:0,i:507},
D{l:14,t:0,i:508},
D{l:14,t:0,i:509},
D{l:14,t:0,i:510},
D{l:14,t:0,i:511},
D{l:16,t:0,i:113},
D{l:16,t:0,i:114},
D{l:16,t:0,i:115},
D{l:16,t:0,i:117},
D{l:16,t:0,i:118},
D{l:16,t:0,i:119},
D{l:16,t:0,i:121},
D{l:16,t:0,i:122},
D{l:16,t:0,i:123},
D{l:16,t:0,i:124},
D{l:16,t:0,i:125},
D{l:16,t:0,i:126},
D{l:16,t:0,i:127},
D{l:18,t:0,i:242},
D{l:18,t:0,i:243},
D{l:18,t:0,i:244},
D{l:18,t:0,i:245},
D{l:18,t:0,i:248},
D{l:18,t:0,i:249},
D{l:18,t:0,i:250},
D{l:18,t:0,i:251},
D{l:18,t:0,i:252},
D{l:18,t:0,i:253},
D{l:18,t:0,i:254},
D{l:18,t:0,i:255},
D{l:20,t:0,i:125},
D{l:20,t:0,i:126},
D{l:148,t:0,i:127},
D{l:7,t:11,i:1717},
D{l:7,t:11,i:1769},
D{l:138,t:11,i:546},
D{l:7,t:11,i:1127},
D{l:7,t:11,i:1572},
D{l:10,t:11,i:297},
D{l:10,t:11,i:422},
D{l:11,t:11,i:764},
D{l:11,t:11,i:810},
D{l:12,t:11,i:264},
D{l:13,t:11,i:102},
D{l:13,t:11,i:300},
D{l:13,t:11,i:484},
D{l:14,t:11,i:147},
D{l:14,t:11,i:229},
D{l:17,t:11,i:71},
D{l:18,t:11,i:118},
D{l:147,t:11,i:120},
D{l:6,t:0,i:1148},
D{l:134,t:0,i:1586},
D{l:132,t:0,i:775},
D{l:135,t:10,i:954},
D{l:133,t:11,i:864},
D{l:133,t:11,i:928},
D{l:138,t:11,i:189},
D{l:135,t:10,i:1958},
D{l:6,t:10,i:549},
D{l:8,t:10,i:34},
D{l:8,t:10,i:283},
D{l:9,t:10,i:165},
D{l:138,t:10,i:475},
D{l:5,t:10,i:652},
D{l:5,t:10,i:701},
D{l:135,t:10,i:449},
D{l:135,t:11,i:695},
D{l:4,t:10,i:655},
D{l:7,t:10,i:850},
D{l:17,t:10,i:75},
D{l:146,t:10,i:137},
D{l:140,t:11,i:682},
D{l:133,t:11,i:523},
D{l:8,t:0,i:970},
D{l:136,t:10,i:670},
D{l:136,t:11,i:555},
D{l:7,t:11,i:76},
D{l:8,t:11,i:44},
D{l:9,t:11,i:884},
D{l:10,t:11,i:580},
D{l:11,t:11,i:399},
D{l:11,t:11,i:894},
D{l:15,t:11,i:122},
D{l:18,t:11,i:144},
D{l:147,t:11,i:61},
D{l:6,t:10,i:159},
D{l:6,t:10,i:364},
D{l:7,t:10,i:516},
D{l:7,t:10,i:1439},
D{l:137,t:10,i:518},
D{l:4,t:0,i:71},
D{l:5,t:0,i:376},
D{l:7,t:0,i:119},
D{l:138,t:0,i:665},
D{l:141,t:10,i:151},
D{l:11,t:0,i:827},
D{l:14,t:0,i:34},
D{l:143,t:0,i:148},
D{l:133,t:11,i:518},
D{l:4,t:0,i:479},
D{l:135,t:11,i:1787},
D{l:135,t:11,i:1852},
D{l:135,t:10,i:993},
D{l:7,t:0,i:607},
D{l:136,t:0,i:99},
D{l:134,t:0,i:1960},
D{l:132,t:0,i:793},
D{l:4,t:0,i:41},
D{l:5,t:0,i:74},
D{l:7,t:0,i:1627},
D{l:11,t:0,i:871},
D{l:140,t:0,i:619},
D{l:7,t:0,i:94},
D{l:11,t:0,i:329},
D{l:11,t:0,i:965},
D{l:12,t:0,i:241},
D{l:14,t:0,i:354},
D{l:15,t:0,i:22},
D{l:148,t:0,i:63},
D{l:7,t:10,i:501},
D{l:9,t:10,i:111},
D{l:10,t:10,i:141},
D{l:11,t:10,i:332},
D{l:13,t:10,i:43},
D{l:13,t:10,i:429},
D{l:14,t:10,i:130},
D{l:14,t:10,i:415},
D{l:145,t:10,i:102},
D{l:9,t:0,i:209},
D{l:137,t:0,i:300},
D{l:134,t:0,i:1497},
D{l:138,t:11,i:255},
D{l:4,t:11,i:934},
D{l:5,t:11,i:138},
D{l:136,t:11,i:610},
D{l:133,t:0,i:98},
D{l:6,t:0,i:1316},
D{l:10,t:11,i:804},
D{l:138,t:11,i:832},
D{l:8,t:11,i:96},
D{l:9,t:11,i:36},
D{l:10,t:11,i:607},
D{l:11,t:11,i:423},
D{l:11,t:11,i:442},
D{l:12,t:11,i:309},
D{l:14,t:11,i:199},
D{l:15,t:11,i:90},
D{l:145,t:11,i:110},
D{l:132,t:0,i:463},
D{l:5,t:10,i:149},
D{l:136,t:10,i:233},
D{l:133,t:10,i:935},
D{l:4,t:11,i:652},
D{l:8,t:11,i:320},
D{l:9,t:11,i:13},
D{l:9,t:11,i:398},
D{l:9,t:11,i:727},
D{l:10,t:11,i:75},
D{l:10,t:11,i:184},
D{l:10,t:11,i:230},
D{l:10,t:11,i:564},
D{l:10,t:11,i:569},
D{l:11,t:11,i:973},
D{l:12,t:11,i:70},
D{l:12,t:11,i:189},
D{l:13,t:11,i:57},
D{l:13,t:11,i:257},
D{l:22,t:11,i:6},
D{l:150,t:11,i:16},
D{l:142,t:0,i:291},
D{l:12,t:10,i:582},
D{l:146,t:10,i:131},
D{l:136,t:10,i:801},
D{l:133,t:0,i:984},
D{l:145,t:11,i:116},
D{l:4,t:11,i:692},
D{l:133,t:11,i:321},
D{l:4,t:0,i:182},
D{l:6,t:0,i:205},
D{l:135,t:0,i:220},
D{l:4,t:0,i:42},
D{l:9,t:0,i:205},
D{l:9,t:0,i:786},
D{l:138,t:0,i:659},
D{l:6,t:0,i:801},
D{l:11,t:11,i:130},
D{l:140,t:11,i:609},
D{l:132,t:0,i:635},
D{l:5,t:11,i:345},
D{l:135,t:11,i:1016},
D{l:139,t:0,i:533},
D{l:132,t:0,i:371},
D{l:4,t:0,i:272},
D{l:135,t:0,i:836},
D{l:6,t:0,i:1282},
D{l:135,t:11,i:1100},
D{l:5,t:0,i:825},
D{l:134,t:0,i:1640},
D{l:135,t:11,i:1325},
D{l:133,t:11,i:673},
D{l:4,t:11,i:287},
D{l:133,t:11,i:1018},
D{l:135,t:0,i:357},
D{l:6,t:0,i:467},
D{l:137,t:0,i:879},
D{l:7,t:0,i:317},
D{l:135,t:0,i:569},
D{l:6,t:0,i:924},
D{l:134,t:0,i:1588},
D{l:5,t:11,i:34},
D{l:5,t:10,i:406},
D{l:10,t:11,i:724},
D{l:12,t:11,i:444},
D{l:13,t:11,i:354},
D{l:18,t:11,i:32},
D{l:23,t:11,i:24},
D{l:23,t:11,i:31},
D{l:152,t:11,i:5},
D{l:6,t:0,i:1795},
D{l:6,t:0,i:1835},
D{l:6,t:0,i:1836},
D{l:6,t:0,i:1856},
D{l:8,t:0,i:844},
D{l:8,t:0,i:849},
D{l:8,t:0,i:854},
D{l:8,t:0,i:870},
D{l:8,t:0,i:887},
D{l:10,t:0,i:852},
D{l:138,t:0,i:942},
D{l:6,t:10,i:69},
D{l:135,t:10,i:117},
D{l:137,t:0,i:307},
D{l:4,t:0,i:944},
D{l:6,t:0,i:1799},
D{l:6,t:0,i:1825},
D{l:10,t:0,i:848},
D{l:10,t:0,i:875},
D{l:10,t:0,i:895},
D{l:10,t:0,i:899},
D{l:10,t:0,i:902},
D{l:140,t:0,i:773},
D{l:11,t:0,i:43},
D{l:13,t:0,i:72},
D{l:141,t:0,i:142},
D{l:135,t:10,i:1830},
D{l:134,t:11,i:382},
D{l:4,t:10,i:432},
D{l:135,t:10,i:824},
D{l:132,t:11,i:329},
D{l:7,t:0,i:1820},
D{l:139,t:11,i:124},
D{l:133,t:10,i:826},
D{l:133,t:0,i:525},
D{l:132,t:11,i:906},
D{l:7,t:11,i:1940},
D{l:136,t:11,i:366},
D{l:138,t:11,i:10},
D{l:4,t:11,i:123},
D{l:4,t:11,i:649},
D{l:5,t:11,i:605},
D{l:7,t:11,i:1509},
D{l:136,t:11,i:36},
D{l:6,t:0,i:110},
D{l:135,t:0,i:1681},
D{l:133,t:0,i:493},
D{l:133,t:11,i:767},
D{l:4,t:0,i:174},
D{l:135,t:0,i:911},
D{l:138,t:11,i:786},
D{l:8,t:0,i:417},
D{l:137,t:0,i:782},
D{l:133,t:10,i:1000},
D{l:7,t:0,i:733},
D{l:137,t:0,i:583},
D{l:4,t:10,i:297},
D{l:6,t:10,i:529},
D{l:7,t:10,i:152},
D{l:7,t:10,i:713},
D{l:7,t:10,i:1845},
D{l:8,t:10,i:710},
D{l:8,t:10,i:717},
D{l:12,t:10,i:639},
D{l:140,t:10,i:685},
D{l:4,t:0,i:32},
D{l:5,t:0,i:215},
D{l:6,t:0,i:269},
D{l:7,t:0,i:1782},
D{l:7,t:0,i:1892},
D{l:10,t:0,i:16},
D{l:11,t:0,i:822},
D{l:11,t:0,i:954},
D{l:141,t:0,i:481},
D{l:4,t:11,i:273},
D{l:5,t:11,i:658},
D{l:133,t:11,i:995},
D{l:136,t:0,i:477},
D{l:134,t:11,i:72},
D{l:135,t:11,i:1345},
D{l:5,t:0,i:308},
D{l:7,t:0,i:1088},
D{l:4,t:10,i:520},
D{l:135,t:10,i:575},
D{l:133,t:11,i:589},
D{l:5,t:0,i:126},
D{l:8,t:0,i:297},
D{l:9,t:0,i:366},
D{l:140,t:0,i:374},
D{l:7,t:0,i:1551},
D{l:139,t:0,i:361},
D{l:5,t:11,i:117},
D{l:6,t:11,i:514},
D{l:6,t:11,i:541},
D{l:7,t:11,i:1164},
D{l:7,t:11,i:1436},
D{l:8,t:11,i:220},
D{l:8,t:11,i:648},
D{l:10,t:11,i:688},
D{l:139,t:11,i:560},
D{l:133,t:11,i:686},
D{l:4,t:0,i:946},
D{l:6,t:0,i:1807},
D{l:8,t:0,i:871},
D{l:10,t:0,i:854},
D{l:10,t:0,i:870},
D{l:10,t:0,i:888},
D{l:10,t:0,i:897},
D{l:10,t:0,i:920},
D{l:12,t:0,i:722},
D{l:12,t:0,i:761},
D{l:12,t:0,i:763},
D{l:12,t:0,i:764},
D{l:14,t:0,i:454},
D{l:14,t:0,i:465},
D{l:16,t:0,i:107},
D{l:18,t:0,i:167},
D{l:18,t:0,i:168},
D{l:146,t:0,i:172},
D{l:132,t:0,i:175},
D{l:135,t:0,i:1307},
D{l:132,t:0,i:685},
D{l:135,t:11,i:1834},
D{l:133,t:0,i:797},
D{l:6,t:0,i:745},
D{l:6,t:0,i:858},
D{l:134,t:0,i:963},
D{l:133,t:0,i:565},
D{l:5,t:10,i:397},
D{l:6,t:10,i:154},
D{l:7,t:11,i:196},
D{l:7,t:10,i:676},
D{l:8,t:10,i:443},
D{l:8,t:10,i:609},
D{l:9,t:10,i:24},
D{l:9,t:10,i:325},
D{l:10,t:10,i:35},
D{l:10,t:11,i:765},
D{l:11,t:11,i:347},
D{l:11,t:10,i:535},
D{l:11,t:11,i:552},
D{l:11,t:11,i:576},
D{l:11,t:10,i:672},
D{l:11,t:11,i:790},
D{l:11,t:10,i:1018},
D{l:12,t:11,i:263},
D{l:12,t:10,i:637},
D{l:13,t:11,i:246},
D{l:13,t:11,i:270},
D{l:13,t:11,i:395},
D{l:14,t:11,i:74},
D{l:14,t:11,i:176},
D{l:14,t:11,i:190},
D{l:14,t:11,i:398},
D{l:14,t:11,i:412},
D{l:15,t:11,i:32},
D{l:15,t:11,i:63},
D{l:16,t:10,i:30},
D{l:16,t:11,i:88},
D{l:147,t:11,i:105},
D{l:13,t:11,i:84},
D{l:141,t:11,i:122},
D{l:4,t:0,i:252},
D{l:7,t:0,i:1068},
D{l:10,t:0,i:434},
D{l:11,t:0,i:228},
D{l:11,t:0,i:426},
D{l:13,t:0,i:231},
D{l:18,t:0,i:106},
D{l:148,t:0,i:87},
D{l:137,t:0,i:826},
D{l:4,t:11,i:589},
D{l:139,t:11,i:282},
D{l:5,t:11,i:381},
D{l:135,t:11,i:1792},
D{l:132,t:0,i:791},
D{l:5,t:0,i:231},
D{l:10,t:0,i:509},
D{l:133,t:10,i:981},
D{l:7,t:0,i:601},
D{l:9,t:0,i:277},
D{l:9,t:0,i:674},
D{l:10,t:0,i:178},
D{l:10,t:0,i:418},
D{l:10,t:0,i:571},
D{l:11,t:0,i:531},
D{l:12,t:0,i:113},
D{l:12,t:0,i:475},
D{l:13,t:0,i:99},
D{l:142,t:0,i:428},
D{l:4,t:10,i:56},
D{l:7,t:11,i:616},
D{l:7,t:10,i:1791},
D{l:8,t:10,i:607},
D{l:8,t:10,i:651},
D{l:10,t:11,i:413},
D{l:11,t:10,i:465},
D{l:11,t:10,i:835},
D{l:12,t:10,i:337},
D{l:141,t:10,i:480},
D{l:7,t:0,i:1591},
D{l:144,t:0,i:43},
D{l:9,t:10,i:158},
D{l:138,t:10,i:411},
D{l:135,t:0,i:1683},
D{l:8,t:0,i:289},
D{l:11,t:0,i:45},
D{l:12,t:0,i:278},
D{l:140,t:0,i:537},
D{l:6,t:11,i:120},
D{l:7,t:11,i:1188},
D{l:7,t:11,i:1710},
D{l:8,t:11,i:286},
D{l:9,t:11,i:667},
D{l:11,t:11,i:592},
D{l:139,t:11,i:730},
D{l:136,t:10,i:617},
D{l:135,t:0,i:1120},
D{l:135,t:11,i:1146},
D{l:139,t:10,i:563},
D{l:4,t:11,i:352},
D{l:4,t:10,i:369},
D{l:135,t:11,i:687},
D{l:143,t:11,i:38},
D{l:4,t:0,i:399},
D{l:5,t:0,i:119},
D{l:5,t:0,i:494},
D{l:7,t:0,i:751},
D{l:9,t:0,i:556},
D{l:14,t:11,i:179},
D{l:15,t:11,i:151},
D{l:150,t:11,i:11},
D{l:4,t:11,i:192},
D{l:5,t:11,i:49},
D{l:6,t:11,i:200},
D{l:6,t:11,i:293},
D{l:6,t:11,i:1696},
D{l:135,t:11,i:488},
D{l:4,t:0,i:398},
D{l:133,t:0,i:660},
D{l:7,t:0,i:1030},
D{l:134,t:10,i:622},
D{l:135,t:11,i:595},
D{l:141,t:0,i:168},
D{l:132,t:11,i:147},
D{l:7,t:0,i:973},
D{l:10,t:10,i:624},
D{l:142,t:10,i:279},
D{l:132,t:10,i:363},
D{l:132,t:0,i:642},
D{l:133,t:11,i:934},
D{l:134,t:0,i:1615},
D{l:7,t:11,i:505},
D{l:135,t:11,i:523},
D{l:7,t:0,i:594},
D{l:7,t:0,i:851},
D{l:7,t:0,i:1858},
D{l:9,t:0,i:411},
D{l:9,t:0,i:574},
D{l:9,t:0,i:666},
D{l:9,t:0,i:737},
D{l:10,t:0,i:346},
D{l:10,t:0,i:712},
D{l:11,t:0,i:246},
D{l:11,t:0,i:432},
D{l:11,t:0,i:517},
D{l:11,t:0,i:647},
D{l:11,t:0,i:679},
D{l:11,t:0,i:727},
D{l:12,t:0,i:304},
D{l:12,t:0,i:305},
D{l:12,t:0,i:323},
D{l:12,t:0,i:483},
D{l:12,t:0,i:572},
D{l:12,t:0,i:593},
D{l:12,t:0,i:602},
D{l:13,t:0,i:95},
D{l:13,t:0,i:101},
D{l:13,t:0,i:171},
D{l:13,t:0,i:315},
D{l:13,t:0,i:378},
D{l:13,t:0,i:425},
D{l:13,t:0,i:475},
D{l:14,t:0,i:63},
D{l:14,t:0,i:380},
D{l:14,t:0,i:384},
D{l:15,t:0,i:133},
D{l:18,t:0,i:112},
D{l:148,t:0,i:72},
D{l:135,t:0,i:1093},
D{l:132,t:0,i:679},
D{l:8,t:0,i:913},
D{l:10,t:0,i:903},
D{l:10,t:0,i:915},
D{l:12,t:0,i:648},
D{l:12,t:0,i:649},
D{l:14,t:0,i:455},
D{l:16,t:0,i:112},
D{l:138,t:11,i:438},
D{l:137,t:0,i:203},
D{l:134,t:10,i:292},
D{l:134,t:0,i:1492},
D{l:7,t:0,i:1374},
D{l:8,t:0,i:540},
D{l:5,t:10,i:177},
D{l:6,t:10,i:616},
D{l:7,t:10,i:827},
D{l:9,t:10,i:525},
D{l:138,t:10,i:656},
D{l:135,t:0,i:1486},
D{l:9,t:0,i:714},
D{l:138,t:10,i:31},
D{l:136,t:0,i:825},
D{l:134,t:0,i:1511},
D{l:132,t:11,i:637},
D{l:134,t:0,i:952},
D{l:4,t:10,i:161},
D{l:133,t:10,i:631},
D{l:5,t:0,i:143},
D{l:5,t:0,i:769},
D{l:6,t:0,i:1760},
D{l:7,t:0,i:682},
D{l:7,t:0,i:1992},
D{l:136,t:0,i:736},
D{l:132,t:0,i:700},
D{l:134,t:0,i:1540},
D{l:132,t:11,i:777},
D{l:9,t:11,i:867},
D{l:138,t:11,i:837},
D{l:7,t:0,i:1557},
D{l:135,t:10,i:1684},
D{l:133,t:0,i:860},
D{l:6,t:0,i:422},
D{l:7,t:0,i:0},
D{l:7,t:0,i:1544},
D{l:9,t:0,i:605},
D{l:11,t:0,i:990},
D{l:12,t:0,i:235},
D{l:12,t:0,i:453},
D{l:13,t:0,i:47},
D{l:13,t:0,i:266},
D{l:9,t:10,i:469},
D{l:9,t:10,i:709},
D{l:12,t:10,i:512},
D{l:14,t:10,i:65},
D{l:145,t:10,i:12},
D{l:11,t:0,i:807},
D{l:10,t:10,i:229},
D{l:11,t:10,i:73},
D{l:139,t:10,i:376},
D{l:6,t:11,i:170},
D{l:7,t:11,i:1080},
D{l:8,t:11,i:395},
D{l:8,t:11,i:487},
D{l:11,t:11,i:125},
D{l:141,t:11,i:147},
D{l:5,t:0,i:515},
D{l:137,t:0,i:131},
D{l:7,t:0,i:1605},
D{l:11,t:0,i:962},
D{l:146,t:0,i:139},
D{l:132,t:0,i:646},
D{l:4,t:0,i:396},
D{l:7,t:0,i:728},
D{l:9,t:0,i:117},
D{l:13,t:0,i:202},
D{l:148,t:0,i:51},
D{l:6,t:0,i:121},
D{l:6,t:0,i:124},
D{l:6,t:0,i:357},
D{l:7,t:0,i:1138},
D{l:7,t:0,i:1295},
D{l:8,t:0,i:162},
D{l:8,t:0,i:508},
D{l:11,t:0,i:655},
D{l:4,t:11,i:535},
D{l:6,t:10,i:558},
D{l:7,t:10,i:651},
D{l:8,t:11,i:618},
D{l:9,t:10,i:0},
D{l:10,t:10,i:34},
D{l:139,t:10,i:1008},
D{l:135,t:11,i:1245},
D{l:138,t:0,i:357},
D{l:150,t:11,i:23},
D{l:133,t:0,i:237},
D{l:135,t:0,i:1784},
D{l:7,t:10,i:1832},
D{l:138,t:10,i:374},
D{l:132,t:0,i:713},
D{l:132,t:11,i:46},
D{l:6,t:0,i:1536},
D{l:10,t:0,i:348},
D{l:5,t:11,i:811},
D{l:6,t:11,i:1679},
D{l:6,t:11,i:1714},
D{l:135,t:11,i:2032},
D{l:11,t:11,i:182},
D{l:142,t:11,i:195},
D{l:6,t:0,i:523},
D{l:7,t:0,i:738},
D{l:7,t:10,i:771},
D{l:7,t:10,i:1731},
D{l:9,t:10,i:405},
D{l:138,t:10,i:421},
D{l:7,t:11,i:1458},
D{l:9,t:11,i:407},
D{l:139,t:11,i:15},
D{l:6,t:11,i:34},
D{l:7,t:11,i:69},
D{l:7,t:11,i:640},
D{l:7,t:11,i:1089},
D{l:8,t:11,i:708},
D{l:8,t:11,i:721},
D{l:9,t:11,i:363},
D{l:9,t:11,i:643},
D{l:10,t:11,i:628},
D{l:148,t:11,i:98},
D{l:133,t:0,i:434},
D{l:135,t:0,i:1877},
D{l:7,t:0,i:571},
D{l:138,t:0,i:366},
D{l:5,t:10,i:881},
D{l:133,t:10,i:885},
D{l:9,t:0,i:513},
D{l:10,t:0,i:25},
D{l:10,t:0,i:39},
D{l:12,t:0,i:122},
D{l:140,t:0,i:187},
D{l:132,t:0,i:580},
D{l:5,t:10,i:142},
D{l:134,t:10,i:546},
D{l:132,t:11,i:462},
D{l:137,t:0,i:873},
D{l:5,t:10,i:466},
D{l:11,t:10,i:571},
D{l:12,t:10,i:198},
D{l:13,t:10,i:283},
D{l:14,t:10,i:186},
D{l:15,t:10,i:21},
D{l:143,t:10,i:103},
D{l:7,t:0,i:171},
D{l:4,t:10,i:185},
D{l:5,t:10,i:257},
D{l:5,t:10,i:839},
D{l:5,t:10,i:936},
D{l:9,t:10,i:399},
D{l:10,t:10,i:258},
D{l:10,t:10,i:395},
D{l:10,t:10,i:734},
D{l:11,t:10,i:1014},
D{l:12,t:10,i:23},
D{l:13,t:10,i:350},
D{l:14,t:10,i:150},
D{l:147,t:10,i:6},
D{l:134,t:0,i:625},
D{l:7,t:0,i:107},
D{l:7,t:0,i:838},
D{l:8,t:0,i:550},
D{l:138,t:0,i:401},
D{l:5,t:11,i:73},
D{l:6,t:11,i:23},
D{l:134,t:11,i:338},
D{l:4,t:0,i:943},
D{l:6,t:0,i:1850},
D{l:12,t:0,i:713},
D{l:142,t:0,i:434},
D{l:11,t:0,i:588},
D{l:11,t:0,i:864},
D{l:11,t:0,i:936},
D{l:11,t:0,i:968},
D{l:12,t:0,i:73},
D{l:12,t:0,i:343},
D{l:12,t:0,i:394},
D{l:13,t:0,i:275},
D{l:14,t:0,i:257},
D{l:15,t:0,i:160},
D{l:7,t:10,i:404},
D{l:7,t:10,i:1377},
D{l:7,t:10,i:1430},
D{l:7,t:10,i:2017},
D{l:8,t:10,i:149},
D{l:8,t:10,i:239},
D{l:8,t:10,i:512},
D{l:8,t:10,i:793},
D{l:8,t:10,i:818},
D{l:9,t:10,i:474},
D{l:9,t:10,i:595},
D{l:10,t:10,i:122},
D{l:10,t:10,i:565},
D{l:10,t:10,i:649},
D{l:10,t:10,i:783},
D{l:11,t:10,i:239},
D{l:11,t:10,i:295},
D{l:11,t:10,i:447},
D{l:11,t:10,i:528},
D{l:11,t:10,i:639},
D{l:11,t:10,i:800},
D{l:12,t:10,i:25},
D{l:12,t:10,i:157},
D{l:12,t:10,i:316},
D{l:12,t:10,i:390},
D{l:12,t:10,i:391},
D{l:12,t:10,i:395},
D{l:12,t:10,i:478},
D{l:12,t:10,i:503},
D{l:12,t:10,i:592},
D{l:12,t:10,i:680},
D{l:13,t:10,i:50},
D{l:13,t:10,i:53},
D{l:13,t:10,i:132},
D{l:13,t:10,i:198},
D{l:13,t:10,i:322},
D{l:13,t:10,i:415},
D{l:13,t:10,i:511},
D{l:14,t:10,i:71},
D{l:14,t:10,i:395},
D{l:15,t:10,i:71},
D{l:15,t:10,i:136},
D{l:17,t:10,i:123},
D{l:18,t:10,i:93},
D{l:147,t:10,i:58},
D{l:133,t:0,i:768},
D{l:11,t:0,i:103},
D{l:142,t:0,i:0},
D{l:136,t:10,i:712},
D{l:132,t:0,i:799},
D{l:132,t:0,i:894},
D{l:7,t:11,i:725},
D{l:8,t:11,i:498},
D{l:139,t:11,i:268},
D{l:135,t:11,i:1798},
D{l:135,t:11,i:773},
D{l:141,t:11,i:360},
D{l:4,t:10,i:377},
D{l:152,t:10,i:13},
D{l:135,t:0,i:1673},
D{l:132,t:11,i:583},
D{l:134,t:0,i:1052},
D{l:133,t:11,i:220},
D{l:140,t:11,i:69},
D{l:132,t:11,i:544},
D{l:4,t:10,i:180},
D{l:135,t:10,i:1906},
D{l:134,t:0,i:272},
D{l:4,t:0,i:441},
D{l:134,t:0,i:1421},
D{l:4,t:0,i:9},
D{l:5,t:0,i:128},
D{l:7,t:0,i:368},
D{l:11,t:0,i:480},
D{l:148,t:0,i:3},
D{l:5,t:11,i:176},
D{l:6,t:11,i:437},
D{l:6,t:11,i:564},
D{l:11,t:11,i:181},
D{l:141,t:11,i:183},
D{l:132,t:10,i:491},
D{l:7,t:0,i:1182},
D{l:141,t:11,i:67},
D{l:6,t:0,i:1346},
D{l:4,t:10,i:171},
D{l:138,t:10,i:234},
D{l:4,t:10,i:586},
D{l:7,t:10,i:1186},
D{l:138,t:10,i:631},
D{l:136,t:0,i:682},
D{l:134,t:0,i:1004},
D{l:15,t:0,i:24},
D{l:143,t:11,i:24},
D{l:134,t:0,i:968},
D{l:4,t:0,i:2},
D{l:6,t:0,i:742},
D{l:6,t:0,i:793},
D{l:7,t:0,i:545},
D{l:7,t:0,i:894},
D{l:9,t:10,i:931},
D{l:10,t:10,i:334},
D{l:148,t:10,i:71},
D{l:136,t:11,i:600},
D{l:133,t:10,i:765},
D{l:9,t:0,i:769},
D{l:140,t:0,i:185},
D{l:4,t:11,i:790},
D{l:5,t:11,i:273},
D{l:134,t:11,i:394},
D{l:7,t:0,i:474},
D{l:137,t:0,i:578},
D{l:4,t:11,i:135},
D{l:6,t:11,i:127},
D{l:7,t:11,i:1185},
D{l:7,t:11,i:1511},
D{l:8,t:11,i:613},
D{l:11,t:11,i:5},
D{l:12,t:11,i:133},
D{l:12,t:11,i:495},
D{l:12,t:11,i:586},
D{l:14,t:11,i:385},
D{l:15,t:11,i:118},
D{l:17,t:11,i:20},
D{l:146,t:11,i:98},
D{l:133,t:10,i:424},
D{l:5,t:0,i:530},
D{l:142,t:0,i:113},
D{l:6,t:11,i:230},
D{l:7,t:11,i:961},
D{l:7,t:11,i:1085},
D{l:136,t:11,i:462},
D{l:7,t:11,i:1954},
D{l:137,t:11,i:636},
D{l:136,t:10,i:714},
D{l:149,t:11,i:6},
D{l:135,t:10,i:685},
D{l:9,t:10,i:420},
D{l:10,t:10,i:269},
D{l:10,t:10,i:285},
D{l:10,t:10,i:576},
D{l:11,t:10,i:397},
D{l:13,t:10,i:175},
D{l:145,t:10,i:90},
D{l:132,t:10,i:429},
D{l:5,t:0,i:556},
D{l:5,t:11,i:162},
D{l:136,t:11,i:68},
D{l:132,t:11,i:654},
D{l:4,t:11,i:156},
D{l:7,t:11,i:998},
D{l:7,t:11,i:1045},
D{l:7,t:11,i:1860},
D{l:9,t:11,i:48},
D{l:9,t:11,i:692},
D{l:11,t:11,i:419},
D{l:139,t:11,i:602},
D{l:6,t:0,i:1317},
D{l:8,t:0,i:16},
D{l:9,t:0,i:825},
D{l:12,t:0,i:568},
D{l:7,t:11,i:1276},
D{l:8,t:11,i:474},
D{l:137,t:11,i:652},
D{l:18,t:0,i:97},
D{l:7,t:10,i:18},
D{l:7,t:10,i:699},
D{l:7,t:10,i:1966},
D{l:8,t:10,i:752},
D{l:9,t:10,i:273},
D{l:9,t:10,i:412},
D{l:9,t:10,i:703},
D{l:10,t:10,i:71},
D{l:10,t:10,i:427},
D{l:138,t:10,i:508},
D{l:10,t:0,i:703},
D{l:7,t:11,i:1454},
D{l:138,t:11,i:703},
D{l:4,t:10,i:53},
D{l:5,t:10,i:186},
D{l:135,t:10,i:752},
D{l:134,t:0,i:892},
D{l:134,t:0,i:1571},
D{l:8,t:10,i:575},
D{l:10,t:10,i:289},
D{l:139,t:10,i:319},
D{l:6,t:0,i:186},
D{l:137,t:0,i:426},
D{l:134,t:0,i:1101},
D{l:132,t:10,i:675},
D{l:132,t:0,i:585},
D{l:6,t:0,i:1870},
D{l:137,t:0,i:937},
D{l:152,t:11,i:10},
D{l:9,t:11,i:197},
D{l:10,t:11,i:300},
D{l:12,t:11,i:473},
D{l:13,t:11,i:90},
D{l:141,t:11,i:405},
D{l:4,t:0,i:93},
D{l:5,t:0,i:252},
D{l:6,t:0,i:229},
D{l:7,t:0,i:291},
D{l:9,t:0,i:550},
D{l:139,t:0,i:644},
D{l:137,t:0,i:749},
D{l:9,t:0,i:162},
D{l:6,t:10,i:209},
D{l:8,t:10,i:468},
D{l:9,t:10,i:210},
D{l:11,t:10,i:36},
D{l:12,t:10,i:28},
D{l:12,t:10,i:630},
D{l:13,t:10,i:21},
D{l:13,t:10,i:349},
D{l:14,t:10,i:7},
D{l:145,t:10,i:13},
D{l:132,t:0,i:381},
D{l:132,t:11,i:606},
D{l:4,t:10,i:342},
D{l:135,t:10,i:1179},
D{l:7,t:11,i:1587},
D{l:7,t:11,i:1707},
D{l:10,t:11,i:528},
D{l:139,t:11,i:504},
D{l:12,t:11,i:39},
D{l:13,t:11,i:265},
D{l:141,t:11,i:439},
D{l:4,t:10,i:928},
D{l:133,t:10,i:910},
D{l:7,t:10,i:1838},
D{l:7,t:11,i:1978},
D{l:136,t:11,i:676},
D{l:6,t:0,i:762},
D{l:6,t:0,i:796},
D{l:134,t:0,i:956},
D{l:4,t:10,i:318},
D{l:4,t:10,i:496},
D{l:7,t:10,i:856},
D{l:139,t:10,i:654},
D{l:137,t:11,i:242},
D{l:4,t:11,i:361},
D{l:133,t:11,i:315},
D{l:132,t:11,i:461},
D{l:132,t:11,i:472},
D{l:132,t:0,i:857},
D{l:5,t:0,i:21},
D{l:6,t:0,i:77},
D{l:6,t:0,i:157},
D{l:7,t:0,i:974},
D{l:7,t:0,i:1301},
D{l:7,t:0,i:1339},
D{l:7,t:0,i:1490},
D{l:7,t:0,i:1873},
D{l:9,t:0,i:628},
D{l:7,t:10,i:915},
D{l:8,t:10,i:247},
D{l:147,t:10,i:0},
D{l:4,t:10,i:202},
D{l:5,t:10,i:382},
D{l:6,t:10,i:454},
D{l:7,t:10,i:936},
D{l:7,t:10,i:1803},
D{l:8,t:10,i:758},
D{l:9,t:10,i:375},
D{l:9,t:10,i:895},
D{l:10,t:10,i:743},
D{l:10,t:10,i:792},
D{l:11,t:10,i:978},
D{l:11,t:10,i:1012},
D{l:142,t:10,i:109},
D{l:7,t:11,i:617},
D{l:10,t:11,i:498},
D{l:11,t:11,i:501},
D{l:12,t:11,i:16},
D{l:140,t:11,i:150},
D{l:7,t:10,i:1150},
D{l:7,t:10,i:1425},
D{l:7,t:10,i:1453},
D{l:10,t:11,i:747},
D{l:140,t:10,i:513},
D{l:133,t:11,i:155},
D{l:11,t:0,i:919},
D{l:141,t:0,i:409},
D{l:138,t:10,i:791},
D{l:10,t:0,i:633},
D{l:139,t:11,i:729},
D{l:7,t:11,i:163},
D{l:8,t:11,i:319},
D{l:9,t:11,i:402},
D{l:10,t:11,i:24},
D{l:10,t:11,i:681},
D{l:11,t:11,i:200},
D{l:11,t:11,i:567},
D{l:12,t:11,i:253},
D{l:12,t:11,i:410},
D{l:142,t:11,i:219},
D{l:5,t:11,i:475},
D{l:7,t:11,i:1780},
D{l:9,t:11,i:230},
D{l:11,t:11,i:297},
D{l:11,t:11,i:558},
D{l:14,t:11,i:322},
D{l:147,t:11,i:76},
D{l:7,t:0,i:332},
D{l:6,t:10,i:445},
D{l:137,t:10,i:909},
D{l:135,t:11,i:1956},
D{l:136,t:11,i:274},
D{l:134,t:10,i:578},
D{l:135,t:0,i:1489},
D{l:135,t:11,i:1848},
D{l:5,t:11,i:944},
D{l:134,t:11,i:1769},
D{l:132,t:11,i:144},
D{l:136,t:10,i:766},
D{l:4,t:0,i:832},
D{l:135,t:10,i:541},
D{l:8,t:0,i:398},
D{l:9,t:0,i:681},
D{l:139,t:0,i:632},
D{l:136,t:0,i:645},
D{l:9,t:0,i:791},
D{l:10,t:0,i:93},
D{l:16,t:0,i:13},
D{l:17,t:0,i:23},
D{l:18,t:0,i:135},
D{l:19,t:0,i:12},
D{l:20,t:0,i:1},
D{l:20,t:0,i:12},
D{l:148,t:0,i:14},
D{l:6,t:11,i:247},
D{l:137,t:11,i:555},
D{l:134,t:0,i:20},
D{l:132,t:0,i:800},
D{l:135,t:0,i:1841},
D{l:139,t:10,i:983},
D{l:137,t:10,i:768},
D{l:132,t:10,i:584},
D{l:141,t:11,i:51},
D{l:6,t:0,i:1993},
D{l:4,t:11,i:620},
D{l:138,t:11,i:280},
D{l:136,t:0,i:769},
D{l:11,t:0,i:290},
D{l:11,t:0,i:665},
D{l:7,t:11,i:1810},
D{l:11,t:11,i:866},
D{l:12,t:11,i:103},
D{l:13,t:11,i:495},
D{l:17,t:11,i:67},
D{l:147,t:11,i:74},
D{l:134,t:0,i:1426},
D{l:139,t:0,i:60},
D{l:4,t:10,i:326},
D{l:135,t:10,i:1770},
D{l:7,t:0,i:1874},
D{l:9,t:0,i:641},
D{l:132,t:10,i:226},
D{l:6,t:0,i:644},
D{l:5,t:10,i:426},
D{l:8,t:10,i:30},
D{l:9,t:10,i:2},
D{l:11,t:10,i:549},
D{l:147,t:10,i:122},
D{l:5,t:11,i:428},
D{l:138,t:11,i:442},
D{l:135,t:11,i:1871},
D{l:135,t:0,i:1757},
D{l:147,t:10,i:117},
D{l:135,t:0,i:937},
D{l:135,t:0,i:1652},
D{l:6,t:0,i:654},
D{l:134,t:0,i:1476},
D{l:133,t:11,i:99},
D{l:135,t:0,i:527},
D{l:132,t:10,i:345},
D{l:4,t:10,i:385},
D{l:4,t:11,i:397},
D{l:7,t:10,i:265},
D{l:135,t:10,i:587},
D{l:4,t:0,i:579},
D{l:5,t:0,i:226},
D{l:5,t:0,i:323},
D{l:135,t:0,i:960},
D{l:134,t:0,i:1486},
D{l:8,t:11,i:502},
D{l:144,t:11,i:9},
D{l:4,t:10,i:347},
D{l:5,t:10,i:423},
D{l:5,t:10,i:996},
D{l:135,t:10,i:1329},
D{l:7,t:11,i:727},
D{l:146,t:11,i:73},
D{l:4,t:11,i:485},
D{l:7,t:11,i:353},
D{l:7,t:10,i:1259},
D{l:7,t:11,i:1523},
D{l:9,t:10,i:125},
D{l:139,t:10,i:65},
D{l:6,t:0,i:325},
D{l:5,t:10,i:136},
D{l:6,t:11,i:366},
D{l:7,t:11,i:1384},
D{l:7,t:11,i:1601},
D{l:136,t:10,i:644},
D{l:138,t:11,i:160},
D{l:6,t:0,i:1345},
D{l:137,t:11,i:282},
D{l:18,t:0,i:91},
D{l:147,t:0,i:70},
D{l:136,t:0,i:404},
D{l:4,t:11,i:157},
D{l:133,t:11,i:471},
D{l:133,t:0,i:973},
D{l:6,t:0,i:135},
D{l:135,t:0,i:1176},
D{l:8,t:11,i:116},
D{l:11,t:11,i:551},
D{l:142,t:11,i:159},
D{l:4,t:0,i:549},
D{l:4,t:10,i:433},
D{l:133,t:10,i:719},
D{l:136,t:0,i:976},
D{l:5,t:11,i:160},
D{l:7,t:11,i:363},
D{l:7,t:11,i:589},
D{l:10,t:11,i:170},
D{l:141,t:11,i:55},
D{l:144,t:0,i:21},
D{l:144,t:0,i:51},
D{l:135,t:0,i:314},
D{l:135,t:10,i:1363},
D{l:4,t:11,i:108},
D{l:7,t:11,i:405},
D{l:10,t:11,i:491},
D{l:139,t:11,i:498},
D{l:146,t:0,i:4},
D{l:4,t:10,i:555},
D{l:8,t:10,i:536},
D{l:10,t:10,i:288},
D{l:139,t:10,i:1005},
D{l:135,t:11,i:1005},
D{l:6,t:0,i:281},
D{l:7,t:0,i:6},
D{l:8,t:0,i:282},
D{l:8,t:0,i:480},
D{l:8,t:0,i:499},
D{l:9,t:0,i:198},
D{l:10,t:0,i:143},
D{l:10,t:0,i:169},
D{l:10,t:0,i:211},
D{l:10,t:0,i:417},
D{l:10,t:0,i:574},
D{l:11,t:0,i:147},
D{l:11,t:0,i:395},
D{l:12,t:0,i:75},
D{l:12,t:0,i:407},
D{l:12,t:0,i:608},
D{l:13,t:0,i:500},
D{l:142,t:0,i:251},
D{l:6,t:0,i:1093},
D{l:6,t:0,i:1405},
D{l:9,t:10,i:370},
D{l:138,t:10,i:90},
D{l:4,t:11,i:926},
D{l:133,t:11,i:983},
D{l:135,t:0,i:1776},
D{l:134,t:0,i:1528},
D{l:132,t:0,i:419},
D{l:132,t:11,i:538},
D{l:6,t:11,i:294},
D{l:7,t:11,i:1267},
D{l:136,t:11,i:624},
D{l:135,t:11,i:1772},
D{l:138,t:11,i:301},
D{l:4,t:10,i:257},
D{l:135,t:10,i:2031},
D{l:4,t:0,i:138},
D{l:7,t:0,i:1012},
D{l:7,t:0,i:1280},
D{l:9,t:0,i:76},
D{l:135,t:10,i:1768},
D{l:132,t:11,i:757},
D{l:5,t:0,i:29},
D{l:140,t:0,i:638},
D{l:7,t:11,i:655},
D{l:135,t:11,i:1844},
D{l:7,t:0,i:1418},
D{l:6,t:11,i:257},
D{l:135,t:11,i:1522},
D{l:8,t:11,i:469},
D{l:138,t:11,i:47},
D{l:142,t:11,i:278},
D{l:6,t:10,i:83},
D{l:6,t:10,i:1733},
D{l:135,t:10,i:1389},
D{l:11,t:11,i:204},
D{l:11,t:11,i:243},
D{l:140,t:11,i:293},
D{l:135,t:11,i:1875},
D{l:6,t:0,i:1710},
D{l:135,t:0,i:2038},
D{l:137,t:11,i:299},
D{l:4,t:0,i:17},
D{l:5,t:0,i:23},
D{l:7,t:0,i:995},
D{l:11,t:0,i:383},
D{l:11,t:0,i:437},
D{l:12,t:0,i:460},
D{l:140,t:0,i:532},
D{l:133,t:0,i:862},
D{l:137,t:10,i:696},
D{l:6,t:0,i:592},
D{l:138,t:0,i:946},
D{l:138,t:11,i:599},
D{l:7,t:10,i:1718},
D{l:9,t:10,i:95},
D{l:9,t:10,i:274},
D{l:10,t:10,i:279},
D{l:10,t:10,i:317},
D{l:10,t:10,i:420},
D{l:11,t:10,i:303},
D{l:11,t:10,i:808},
D{l:12,t:10,i:134},
D{l:12,t:10,i:367},
D{l:13,t:10,i:149},
D{l:13,t:10,i:347},
D{l:14,t:10,i:349},
D{l:14,t:10,i:406},
D{l:18,t:10,i:22},
D{l:18,t:10,i:89},
D{l:18,t:10,i:122},
D{l:147,t:10,i:47},
D{l:8,t:0,i:70},
D{l:12,t:0,i:171},
D{l:141,t:0,i:272},
D{l:133,t:10,i:26},
D{l:132,t:10,i:550},
D{l:137,t:0,i:812},
D{l:10,t:0,i:233},
D{l:139,t:0,i:76},
D{l:134,t:0,i:988},
D{l:134,t:0,i:442},
D{l:136,t:10,i:822},
D{l:7,t:0,i:896},
D{l:4,t:10,i:902},
D{l:5,t:10,i:809},
D{l:134,t:10,i:122},
D{l:5,t:11,i:150},
D{l:7,t:11,i:106},
D{l:8,t:11,i:603},
D{l:9,t:11,i:593},
D{l:9,t:11,i:634},
D{l:10,t:11,i:44},
D{l:10,t:11,i:173},
D{l:11,t:11,i:462},
D{l:11,t:11,i:515},
D{l:13,t:11,i:216},
D{l:13,t:11,i:288},
D{l:142,t:11,i:400},
D{l:136,t:0,i:483},
D{l:135,t:10,i:262},
D{l:6,t:0,i:1709},
D{l:133,t:10,i:620},
D{l:4,t:10,i:34},
D{l:5,t:10,i:574},
D{l:7,t:10,i:279},
D{l:7,t:10,i:1624},
D{l:136,t:10,i:601},
D{l:137,t:10,i:170},
D{l:147,t:0,i:119},
D{l:12,t:11,i:108},
D{l:141,t:11,i:291},
D{l:11,t:0,i:69},
D{l:12,t:0,i:105},
D{l:12,t:0,i:117},
D{l:13,t:0,i:213},
D{l:14,t:0,i:13},
D{l:14,t:0,i:62},
D{l:14,t:0,i:177},
D{l:14,t:0,i:421},
D{l:15,t:0,i:19},
D{l:146,t:0,i:141},
D{l:137,t:0,i:309},
D{l:11,t:11,i:278},
D{l:142,t:11,i:73},
D{l:7,t:0,i:608},
D{l:7,t:0,i:976},
D{l:9,t:0,i:146},
D{l:10,t:0,i:206},
D{l:10,t:0,i:596},
D{l:13,t:0,i:218},
D{l:142,t:0,i:153},
D{l:133,t:10,i:332},
D{l:6,t:10,i:261},
D{l:8,t:10,i:182},
D{l:139,t:10,i:943},
D{l:4,t:11,i:493},
D{l:144,t:11,i:55},
D{l:134,t:10,i:1721},
D{l:132,t:0,i:768},
D{l:4,t:10,i:933},
D{l:133,t:10,i:880},
D{l:7,t:11,i:555},
D{l:7,t:11,i:1316},
D{l:7,t:11,i:1412},
D{l:7,t:11,i:1839},
D{l:9,t:11,i:192},
D{l:9,t:11,i:589},
D{l:11,t:11,i:241},
D{l:11,t:11,i:676},
D{l:11,t:11,i:811},
D{l:11,t:11,i:891},
D{l:12,t:11,i:140},
D{l:12,t:11,i:346},
D{l:12,t:11,i:479},
D{l:13,t:11,i:30},
D{l:13,t:11,i:49},
D{l:13,t:11,i:381},
D{l:14,t:11,i:188},
D{l:15,t:11,i:150},
D{l:16,t:11,i:76},
D{l:18,t:11,i:30},
D{l:148,t:11,i:52},
D{l:4,t:0,i:518},
D{l:135,t:0,i:1136},
D{l:6,t:11,i:568},
D{l:7,t:11,i:112},
D{l:7,t:11,i:1804},
D{l:8,t:11,i:362},
D{l:8,t:11,i:410},
D{l:8,t:11,i:830},
D{l:9,t:11,i:514},
D{l:11,t:11,i:649},
D{l:142,t:11,i:157},
D{l:135,t:11,i:673},
D{l:8,t:0,i:689},
D{l:137,t:0,i:863},
D{l:4,t:0,i:18},
D{l:7,t:0,i:145},
D{l:7,t:0,i:444},
D{l:7,t:0,i:1278},
D{l:8,t:0,i:49},
D{l:8,t:0,i:400},
D{l:9,t:0,i:71},
D{l:9,t:0,i:250},
D{l:10,t:0,i:459},
D{l:12,t:0,i:160},
D{l:16,t:0,i:24},
D{l:132,t:11,i:625},
D{l:140,t:0,i:1020},
D{l:4,t:0,i:997},
D{l:6,t:0,i:1946},
D{l:6,t:0,i:1984},
D{l:134,t:0,i:1998},
D{l:6,t:11,i:16},
D{l:6,t:11,i:158},
D{l:7,t:11,i:43},
D{l:7,t:11,i:129},
D{l:7,t:11,i:181},
D{l:8,t:11,i:276},
D{l:8,t:11,i:377},
D{l:10,t:11,i:523},
D{l:11,t:11,i:816},
D{l:12,t:11,i:455},
D{l:13,t:11,i:303},
D{l:142,t:11,i:135},
D{l:133,t:10,i:812},
D{l:134,t:0,i:658},
D{l:4,t:11,i:1},
D{l:7,t:11,i:1143},
D{l:7,t:11,i:1463},
D{l:8,t:11,i:61},
D{l:9,t:11,i:207},
D{l:9,t:11,i:390},
D{l:9,t:11,i:467},
D{l:139,t:11,i:836},
D{l:150,t:11,i:26},
D{l:140,t:0,i:106},
D{l:6,t:0,i:1827},
D{l:10,t:0,i:931},
D{l:18,t:0,i:166},
D{l:20,t:0,i:114},
D{l:4,t:10,i:137},
D{l:7,t:10,i:1178},
D{l:7,t:11,i:1319},
D{l:135,t:10,i:1520},
D{l:133,t:0,i:1010},
D{l:4,t:11,i:723},
D{l:5,t:11,i:895},
D{l:7,t:11,i:1031},
D{l:8,t:11,i:199},
D{l:8,t:11,i:340},
D{l:9,t:11,i:153},
D{l:9,t:11,i:215},
D{l:10,t:11,i:21},
D{l:10,t:11,i:59},
D{l:10,t:11,i:80},
D{l:10,t:11,i:224},
D{l:11,t:11,i:229},
D{l:11,t:11,i:652},
D{l:12,t:11,i:192},
D{l:13,t:11,i:146},
D{l:142,t:11,i:91},
D{l:132,t:11,i:295},
D{l:6,t:11,i:619},
D{l:7,t:11,i:898},
D{l:7,t:11,i:1092},
D{l:8,t:11,i:485},
D{l:18,t:11,i:28},
D{l:147,t:11,i:116},
D{l:137,t:11,i:51},
D{l:6,t:10,i:1661},
D{l:7,t:10,i:1975},
D{l:7,t:10,i:2009},
D{l:135,t:10,i:2011},
D{l:5,t:11,i:309},
D{l:140,t:11,i:211},
D{l:5,t:0,i:87},
D{l:7,t:0,i:313},
D{l:7,t:0,i:1103},
D{l:10,t:0,i:208},
D{l:10,t:0,i:582},
D{l:11,t:0,i:389},
D{l:11,t:0,i:813},
D{l:12,t:0,i:385},
D{l:13,t:0,i:286},
D{l:14,t:0,i:124},
D{l:146,t:0,i:108},
D{l:5,t:11,i:125},
D{l:8,t:11,i:77},
D{l:138,t:11,i:15},
D{l:132,t:0,i:267},
D{l:133,t:0,i:703},
D{l:137,t:11,i:155},
D{l:133,t:11,i:439},
D{l:11,t:11,i:164},
D{l:140,t:11,i:76},
D{l:9,t:0,i:496},
D{l:5,t:10,i:89},
D{l:7,t:10,i:1915},
D{l:9,t:10,i:185},
D{l:9,t:10,i:235},
D{l:10,t:10,i:64},
D{l:10,t:10,i:270},
D{l:10,t:10,i:403},
D{l:10,t:10,i:469},
D{l:10,t:10,i:529},
D{l:10,t:10,i:590},
D{l:11,t:10,i:140},
D{l:11,t:10,i:860},
D{l:13,t:10,i:1},
D{l:13,t:10,i:422},
D{l:14,t:10,i:341},
D{l:14,t:10,i:364},
D{l:17,t:10,i:93},
D{l:18,t:10,i:113},
D{l:19,t:10,i:97},
D{l:147,t:10,i:113},
D{l:133,t:10,i:695},
D{l:135,t:0,i:1121},
D{l:5,t:10,i:6},
D{l:6,t:10,i:183},
D{l:7,t:10,i:680},
D{l:7,t:10,i:978},
D{l:7,t:10,i:1013},
D{l:7,t:10,i:1055},
D{l:12,t:10,i:230},
D{l:13,t:10,i:172},
D{l:146,t:10,i:29},
D{l:4,t:11,i:8},
D{l:7,t:11,i:1152},
D{l:7,t:11,i:1153},
D{l:7,t:11,i:1715},
D{l:9,t:11,i:374},
D{l:10,t:11,i:478},
D{l:139,t:11,i:648},
D{l:135,t:11,i:1099},
D{l:6,t:10,i:29},
D{l:139,t:10,i:63},
D{l:4,t:0,i:561},
D{l:10,t:0,i:249},
D{l:139,t:0,i:209},
D{l:132,t:0,i:760},
D{l:7,t:11,i:799},
D{l:138,t:11,i:511},
D{l:136,t:11,i:87},
D{l:9,t:0,i:154},
D{l:140,t:0,i:485},
D{l:136,t:0,i:255},
D{l:132,t:0,i:323},
D{l:140,t:0,i:419},
D{l:132,t:10,i:311},
D{l:134,t:10,i:1740},
D{l:4,t:0,i:368},
D{l:135,t:0,i:641},
D{l:7,t:10,i:170},
D{l:8,t:10,i:90},
D{l:8,t:10,i:177},
D{l:8,t:10,i:415},
D{l:11,t:10,i:714},
D{l:142,t:10,i:281},
D{l:4,t:11,i:69},
D{l:5,t:11,i:122},
D{l:9,t:11,i:656},
D{l:138,t:11,i:464},
D{l:5,t:11,i:849},
D{l:134,t:11,i:1633},
D{l:8,t:0,i:522},
D{l:142,t:0,i:328},
D{l:11,t:10,i:91},
D{l:13,t:10,i:129},
D{l:15,t:10,i:101},
D{l:145,t:10,i:125},
D{l:7,t:0,i:562},
D{l:8,t:0,i:551},
D{l:4,t:10,i:494},
D{l:6,t:10,i:74},
D{l:7,t:10,i:44},
D{l:11,t:11,i:499},
D{l:12,t:10,i:17},
D{l:15,t:10,i:5},
D{l:148,t:10,i:11},
D{l:4,t:10,i:276},
D{l:133,t:10,i:296},
D{l:9,t:0,i:92},
D{l:147,t:0,i:91},
D{l:4,t:10,i:7},
D{l:5,t:10,i:90},
D{l:5,t:10,i:158},
D{l:6,t:10,i:542},
D{l:7,t:10,i:221},
D{l:7,t:10,i:1574},
D{l:9,t:10,i:490},
D{l:10,t:10,i:540},
D{l:11,t:10,i:443},
D{l:139,t:10,i:757},
D{l:6,t:0,i:525},
D{l:6,t:0,i:1976},
D{l:8,t:0,i:806},
D{l:9,t:0,i:876},
D{l:140,t:0,i:284},
D{l:5,t:11,i:859},
D{l:7,t:10,i:588},
D{l:7,t:11,i:1160},
D{l:8,t:11,i:107},
D{l:9,t:10,i:175},
D{l:9,t:11,i:291},
D{l:9,t:11,i:439},
D{l:10,t:10,i:530},
D{l:10,t:11,i:663},
D{l:11,t:11,i:609},
D{l:140,t:11,i:197},
D{l:7,t:11,i:168},
D{l:13,t:11,i:196},
D{l:141,t:11,i:237},
D{l:139,t:0,i:958},
D{l:133,t:0,i:594},
D{l:135,t:10,i:580},
D{l:7,t:10,i:88},
D{l:136,t:10,i:627},
D{l:6,t:0,i:479},
D{l:6,t:0,i:562},
D{l:7,t:0,i:1060},
D{l:13,t:0,i:6},
D{l:5,t:10,i:872},
D{l:6,t:10,i:57},
D{l:7,t:10,i:471},
D{l:9,t:10,i:447},
D{l:137,t:10,i:454},
D{l:136,t:11,i:413},
D{l:145,t:11,i:19},
D{l:4,t:11,i:117},
D{l:6,t:11,i:372},
D{l:7,t:11,i:1905},
D{l:142,t:11,i:323},
D{l:4,t:11,i:722},
D{l:139,t:11,i:471},
D{l:17,t:0,i:61},
D{l:5,t:10,i:31},
D{l:134,t:10,i:614},
D{l:8,t:10,i:330},
D{l:140,t:10,i:477},
D{l:7,t:10,i:1200},
D{l:138,t:10,i:460},
D{l:6,t:10,i:424},
D{l:135,t:10,i:1866},
D{l:6,t:0,i:1641},
D{l:136,t:0,i:820},
D{l:6,t:0,i:1556},
D{l:134,t:0,i:1618},
D{l:9,t:11,i:5},
D{l:12,t:11,i:216},
D{l:12,t:11,i:294},
D{l:12,t:11,i:298},
D{l:12,t:11,i:400},
D{l:12,t:11,i:518},
D{l:13,t:11,i:229},
D{l:143,t:11,i:139},
D{l:15,t:11,i:155},
D{l:144,t:11,i:79},
D{l:4,t:0,i:302},
D{l:135,t:0,i:1766},
D{l:5,t:10,i:13},
D{l:134,t:10,i:142},
D{l:6,t:0,i:148},
D{l:7,t:0,i:1313},
D{l:7,t:10,i:116},
D{l:8,t:10,i:322},
D{l:8,t:10,i:755},
D{l:9,t:10,i:548},
D{l:10,t:10,i:714},
D{l:11,t:10,i:884},
D{l:141,t:10,i:324},
D{l:137,t:0,i:676},
D{l:9,t:11,i:88},
D{l:139,t:11,i:270},
D{l:5,t:11,i:12},
D{l:7,t:11,i:375},
D{l:137,t:11,i:438},
D{l:134,t:0,i:1674},
D{l:7,t:10,i:1472},
D{l:135,t:10,i:1554},
D{l:11,t:0,i:178},
D{l:7,t:10,i:1071},
D{l:7,t:10,i:1541},
D{l:7,t:10,i:1767},
D{l:7,t:10,i:1806},
D{l:11,t:10,i:162},
D{l:11,t:10,i:242},
D{l:12,t:10,i:605},
D{l:15,t:10,i:26},
D{l:144,t:10,i:44},
D{l:6,t:0,i:389},
D{l:7,t:0,i:149},
D{l:9,t:0,i:142},
D{l:138,t:0,i:94},
D{l:140,t:11,i:71},
D{l:145,t:10,i:115},
D{l:6,t:0,i:8},
D{l:7,t:0,i:1881},
D{l:8,t:0,i:91},
D{l:11,t:11,i:966},
D{l:12,t:11,i:287},
D{l:13,t:11,i:342},
D{l:13,t:11,i:402},
D{l:15,t:11,i:110},
D{l:143,t:11,i:163},
D{l:4,t:11,i:258},
D{l:136,t:11,i:639},
D{l:6,t:11,i:22},
D{l:7,t:11,i:903},
D{l:138,t:11,i:577},
D{l:133,t:11,i:681},
D{l:135,t:10,i:1111},
D{l:135,t:11,i:1286},
D{l:9,t:0,i:112},
D{l:8,t:10,i:1},
D{l:138,t:10,i:326},
D{l:5,t:10,i:488},
D{l:6,t:10,i:527},
D{l:7,t:10,i:489},
D{l:7,t:10,i:1636},
D{l:8,t:10,i:121},
D{l:8,t:10,i:144},
D{l:8,t:10,i:359},
D{l:9,t:10,i:193},
D{l:9,t:10,i:241},
D{l:9,t:10,i:336},
D{l:9,t:10,i:882},
D{l:11,t:10,i:266},
D{l:11,t:10,i:372},
D{l:11,t:10,i:944},
D{l:12,t:10,i:401},
D{l:140,t:10,i:641},
D{l:4,t:11,i:664},
D{l:133,t:11,i:804},
D{l:6,t:0,i:747},
D{l:134,t:0,i:1015},
D{l:135,t:0,i:1746},
D{l:9,t:10,i:31},
D{l:10,t:10,i:244},
D{l:10,t:10,i:699},
D{l:12,t:10,i:149},
D{l:141,t:10,i:497},
D{l:133,t:10,i:377},
D{l:135,t:0,i:24},
D{l:6,t:0,i:1352},
D{l:5,t:11,i:32},
D{l:145,t:10,i:101},
D{l:7,t:0,i:1530},
D{l:10,t:0,i:158},
D{l:13,t:0,i:13},
D{l:13,t:0,i:137},
D{l:13,t:0,i:258},
D{l:14,t:0,i:111},
D{l:14,t:0,i:225},
D{l:14,t:0,i:253},
D{l:14,t:0,i:304},
D{l:14,t:0,i:339},
D{l:14,t:0,i:417},
D{l:146,t:0,i:33},
D{l:4,t:0,i:503},
D{l:135,t:0,i:1661},
D{l:5,t:0,i:130},
D{l:6,t:0,i:845},
D{l:7,t:0,i:1314},
D{l:9,t:0,i:610},
D{l:10,t:0,i:718},
D{l:11,t:0,i:601},
D{l:11,t:0,i:819},
D{l:11,t:0,i:946},
D{l:140,t:0,i:536},
D{l:10,t:0,i:149},
D{l:11,t:0,i:280},
D{l:142,t:0,i:336},
D{l:134,t:0,i:1401},
D{l:135,t:0,i:1946},
D{l:8,t:0,i:663},
D{l:144,t:0,i:8},
D{l:134,t:0,i:1607},
D{l:135,t:10,i:2023},
D{l:4,t:11,i:289},
D{l:7,t:11,i:629},
D{l:7,t:11,i:1698},
D{l:7,t:11,i:1711},
D{l:140,t:11,i:215},
D{l:6,t:11,i:450},
D{l:136,t:11,i:109},
D{l:10,t:0,i:882},
D{l:10,t:0,i:883},
D{l:10,t:0,i:914},
D{l:138,t:0,i:928},
D{l:133,t:10,i:843},
D{l:136,t:11,i:705},
D{l:132,t:10,i:554},
D{l:133,t:10,i:536},
D{l:5,t:0,i:417},
D{l:9,t:10,i:79},
D{l:11,t:10,i:625},
D{l:145,t:10,i:7},
D{l:7,t:11,i:1238},
D{l:142,t:11,i:37},
D{l:4,t:0,i:392},
D{l:135,t:0,i:1597},
D{l:5,t:0,i:433},
D{l:9,t:0,i:633},
D{l:11,t:0,i:629},
D{l:132,t:10,i:424},
D{l:7,t:10,i:336},
D{l:136,t:10,i:785},
D{l:134,t:11,i:355},
D{l:6,t:0,i:234},
D{l:7,t:0,i:769},
D{l:9,t:0,i:18},
D{l:138,t:0,i:358},
D{l:4,t:10,i:896},
D{l:134,t:10,i:1777},
D{l:138,t:11,i:323},
D{l:7,t:0,i:140},
D{l:7,t:0,i:1950},
D{l:8,t:0,i:680},
D{l:11,t:0,i:817},
D{l:147,t:0,i:88},
D{l:7,t:0,i:1222},
D{l:138,t:0,i:386},
D{l:139,t:11,i:908},
D{l:11,t:0,i:249},
D{l:12,t:0,i:313},
D{l:16,t:0,i:66},
D{l:145,t:0,i:26},
D{l:134,t:0,i:5},
D{l:7,t:10,i:750},
D{l:9,t:10,i:223},
D{l:11,t:10,i:27},
D{l:11,t:10,i:466},
D{l:12,t:10,i:624},
D{l:14,t:10,i:265},
D{l:146,t:10,i:61},
D{l:134,t:11,i:26},
D{l:134,t:0,i:1216},
D{l:5,t:0,i:963},
D{l:134,t:0,i:1773},
D{l:4,t:11,i:414},
D{l:5,t:11,i:467},
D{l:9,t:11,i:654},
D{l:10,t:11,i:451},
D{l:12,t:11,i:59},
D{l:141,t:11,i:375},
D{l:135,t:11,i:17},
D{l:4,t:10,i:603},
D{l:133,t:10,i:661},
D{l:4,t:10,i:11},
D{l:6,t:10,i:128},
D{l:7,t:10,i:231},
D{l:7,t:10,i:1533},
D{l:138,t:10,i:725},
D{l:135,t:11,i:955},
D{l:7,t:0,i:180},
D{l:8,t:0,i:509},
D{l:136,t:0,i:792},
D{l:132,t:10,i:476},
D{l:132,t:0,i:1002},
D{l:133,t:11,i:538},
D{l:135,t:10,i:1807},
D{l:132,t:0,i:931},
D{l:7,t:0,i:943},
D{l:11,t:0,i:614},
D{l:140,t:0,i:747},
D{l:135,t:0,i:1837},
D{l:9,t:10,i:20},
D{l:10,t:10,i:324},
D{l:10,t:10,i:807},
D{l:139,t:10,i:488},
D{l:134,t:0,i:641},
D{l:6,t:11,i:280},
D{l:10,t:11,i:502},
D{l:11,t:11,i:344},
D{l:140,t:11,i:38},
D{l:5,t:11,i:45},
D{l:7,t:11,i:1161},
D{l:11,t:11,i:448},
D{l:11,t:11,i:880},
D{l:13,t:11,i:139},
D{l:13,t:11,i:407},
D{l:15,t:11,i:16},
D{l:17,t:11,i:95},
D{l:18,t:11,i:66},
D{l:18,t:11,i:88},
D{l:18,t:11,i:123},
D{l:149,t:11,i:7},
D{l:9,t:0,i:280},
D{l:138,t:0,i:134},
D{l:22,t:0,i:22},
D{l:23,t:0,i:5},
D{l:151,t:0,i:29},
D{l:136,t:11,i:777},
D{l:4,t:0,i:90},
D{l:5,t:0,i:545},
D{l:7,t:0,i:754},
D{l:9,t:0,i:186},
D{l:10,t:0,i:72},
D{l:10,t:0,i:782},
D{l:11,t:0,i:577},
D{l:11,t:0,i:610},
D{l:11,t:0,i:960},
D{l:12,t:0,i:354},
D{l:12,t:0,i:362},
D{l:12,t:0,i:595},
D{l:4,t:11,i:410},
D{l:135,t:11,i:521},
D{l:135,t:11,i:1778},
D{l:5,t:10,i:112},
D{l:6,t:10,i:103},
D{l:134,t:10,i:150},
D{l:138,t:10,i:356},
D{l:132,t:0,i:742},
D{l:7,t:0,i:151},
D{l:9,t:0,i:329},
D{l:139,t:0,i:254},
D{l:8,t:0,i:853},
D{l:8,t:0,i:881},
D{l:8,t:0,i:911},
D{l:8,t:0,i:912},
D{l:10,t:0,i:872},
D{l:12,t:0,i:741},
D{l:12,t:0,i:742},
D{l:152,t:0,i:18},
D{l:4,t:11,i:573},
D{l:136,t:11,i:655},
D{l:6,t:0,i:921},
D{l:134,t:0,i:934},
D{l:9,t:0,i:187},
D{l:10,t:0,i:36},
D{l:11,t:0,i:1016},
D{l:17,t:0,i:44},
D{l:146,t:0,i:64},
D{l:7,t:0,i:833},
D{l:136,t:0,i:517},
D{l:4,t:0,i:506},
D{l:5,t:0,i:295},
D{l:135,t:0,i:1680},
D{l:4,t:10,i:708},
D{l:8,t:10,i:15},
D{l:9,t:10,i:50},
D{l:9,t:10,i:386},
D{l:11,t:10,i:18},
D{l:11,t:10,i:529},
D{l:140,t:10,i:228},
D{l:7,t:0,i:251},
D{l:7,t:0,i:1701},
D{l:8,t:0,i:436},
D{l:4,t:10,i:563},
D{l:7,t:10,i:592},
D{l:7,t:10,i:637},
D{l:7,t:10,i:770},
D{l:8,t:10,i:463},
D{l:9,t:10,i:60},
D{l:9,t:10,i:335},
D{l:9,t:10,i:904},
D{l:10,t:10,i:73},
D{l:11,t:10,i:434},
D{l:12,t:10,i:585},
D{l:13,t:10,i:331},
D{l:18,t:10,i:110},
D{l:148,t:10,i:60},
D{l:132,t:10,i:502},
D{l:136,t:0,i:584},
D{l:6,t:10,i:347},
D{l:138,t:10,i:161},
D{l:7,t:0,i:987},
D{l:9,t:0,i:688},
D{l:10,t:0,i:522},
D{l:11,t:0,i:788},
D{l:12,t:0,i:137},
D{l:12,t:0,i:566},
D{l:14,t:0,i:9},
D{l:14,t:0,i:24},
D{l:14,t:0,i:64},
D{l:7,t:11,i:899},
D{l:142,t:11,i:325},
D{l:4,t:0,i:214},
D{l:5,t:0,i:500},
D{l:5,t:10,i:102},
D{l:6,t:10,i:284},
D{l:7,t:10,i:1079},
D{l:7,t:10,i:1423},
D{l:7,t:10,i:1702},
D{l:8,t:10,i:470},
D{l:9,t:10,i:554},
D{l:9,t:10,i:723},
D{l:139,t:10,i:333},
D{l:7,t:10,i:246},
D{l:135,t:10,i:840},
D{l:6,t:10,i:10},
D{l:8,t:10,i:571},
D{l:9,t:10,i:739},
D{l:143,t:10,i:91},
D{l:133,t:10,i:626},
D{l:146,t:0,i:195},
D{l:134,t:0,i:1775},
D{l:7,t:0,i:389},
D{l:7,t:0,i:700},
D{l:7,t:0,i:940},
D{l:8,t:0,i:514},
D{l:9,t:0,i:116},
D{l:9,t:0,i:535},
D{l:10,t:0,i:118},
D{l:11,t:0,i:107},
D{l:11,t:0,i:148},
D{l:11,t:0,i:922},
D{l:12,t:0,i:254},
D{l:12,t:0,i:421},
D{l:142,t:0,i:238},
D{l:5,t:10,i:18},
D{l:6,t:10,i:526},
D{l:13,t:10,i:24},
D{l:13,t:10,i:110},
D{l:19,t:10,i:5},
D{l:147,t:10,i:44},
D{l:132,t:0,i:743},
D{l:11,t:0,i:292},
D{l:4,t:10,i:309},
D{l:5,t:10,i:462},
D{l:7,t:10,i:970},
D{l:135,t:10,i:1097},
D{l:22,t:10,i:30},
D{l:150,t:10,i:33},
D{l:139,t:11,i:338},
D{l:135,t:11,i:1598},
D{l:7,t:0,i:1283},
D{l:9,t:0,i:227},
D{l:11,t:0,i:325},
D{l:11,t:0,i:408},
D{l:14,t:0,i:180},
D{l:146,t:0,i:47},
D{l:4,t:0,i:953},
D{l:6,t:0,i:1805},
D{l:6,t:0,i:1814},
D{l:6,t:0,i:1862},
D{l:140,t:0,i:774},
D{l:6,t:11,i:611},
D{l:135,t:11,i:1733},
D{l:135,t:11,i:1464},
D{l:5,t:0,i:81},
D{l:7,t:0,i:146},
D{l:7,t:0,i:1342},
D{l:8,t:0,i:53},
D{l:8,t:0,i:561},
D{l:8,t:0,i:694},
D{l:8,t:0,i:754},
D{l:9,t:0,i:115},
D{l:9,t:0,i:179},
D{l:9,t:0,i:894},
D{l:10,t:0,i:462},
D{l:10,t:0,i:813},
D{l:11,t:0,i:230},
D{l:11,t:0,i:657},
D{l:11,t:0,i:699},
D{l:11,t:0,i:748},
D{l:12,t:0,i:119},
D{l:12,t:0,i:200},
D{l:12,t:0,i:283},
D{l:142,t:0,i:273},
D{l:5,t:0,i:408},
D{l:6,t:0,i:789},
D{l:6,t:0,i:877},
D{l:6,t:0,i:1253},
D{l:6,t:0,i:1413},
D{l:137,t:0,i:747},
D{l:134,t:10,i:1704},
D{l:135,t:11,i:663},
D{l:6,t:0,i:1910},
D{l:6,t:0,i:1915},
D{l:6,t:0,i:1923},
D{l:9,t:0,i:913},
D{l:9,t:0,i:928},
D{l:9,t:0,i:950},
D{l:9,t:0,i:954},
D{l:9,t:0,i:978},
D{l:9,t:0,i:993},
D{l:12,t:0,i:812},
D{l:12,t:0,i:819},
D{l:12,t:0,i:831},
D{l:12,t:0,i:833},
D{l:12,t:0,i:838},
D{l:12,t:0,i:909},
D{l:12,t:0,i:928},
D{l:12,t:0,i:931},
D{l:12,t:0,i:950},
D{l:15,t:0,i:186},
D{l:15,t:0,i:187},
D{l:15,t:0,i:195},
D{l:15,t:0,i:196},
D{l:15,t:0,i:209},
D{l:15,t:0,i:215},
D{l:15,t:0,i:236},
D{l:15,t:0,i:241},
D{l:15,t:0,i:249},
D{l:15,t:0,i:253},
D{l:18,t:0,i:180},
D{l:18,t:0,i:221},
D{l:18,t:0,i:224},
D{l:18,t:0,i:227},
D{l:18,t:0,i:229},
D{l:149,t:0,i:60},
D{l:7,t:0,i:1826},
D{l:135,t:0,i:1938},
D{l:11,t:0,i:490},
D{l:18,t:0,i:143},
D{l:5,t:10,i:86},
D{l:7,t:10,i:743},
D{l:9,t:10,i:85},
D{l:10,t:10,i:281},
D{l:10,t:10,i:432},
D{l:12,t:10,i:251},
D{l:13,t:10,i:118},
D{l:142,t:10,i:378},
D{l:5,t:10,i:524},
D{l:133,t:10,i:744},
D{l:141,t:11,i:442},
D{l:10,t:10,i:107},
D{l:140,t:10,i:436},
D{l:135,t:11,i:503},
D{l:134,t:0,i:1162},
D{l:132,t:10,i:927},
D{l:7,t:0,i:30},
D{l:8,t:0,i:86},
D{l:8,t:0,i:315},
D{l:8,t:0,i:700},
D{l:9,t:0,i:576},
D{l:9,t:0,i:858},
D{l:10,t:0,i:414},
D{l:11,t:0,i:310},
D{l:11,t:0,i:888},
D{l:11,t:0,i:904},
D{l:12,t:0,i:361},
D{l:13,t:0,i:248},
D{l:13,t:0,i:371},
D{l:14,t:0,i:142},
D{l:12,t:10,i:670},
D{l:146,t:10,i:94},
D{l:134,t:0,i:721},
D{l:4,t:11,i:113},
D{l:5,t:11,i:163},
D{l:5,t:11,i:735},
D{l:7,t:11,i:1009},
D{l:7,t:10,i:1149},
D{l:9,t:11,i:9},
D{l:9,t:10,i:156},
D{l:9,t:11,i:771},
D{l:12,t:11,i:90},
D{l:13,t:11,i:138},
D{l:13,t:11,i:410},
D{l:143,t:11,i:128},
D{l:138,t:0,i:839},
D{l:133,t:10,i:778},
D{l:137,t:0,i:617},
D{l:133,t:10,i:502},
D{l:8,t:10,i:196},
D{l:10,t:10,i:283},
D{l:139,t:10,i:406},
D{l:6,t:0,i:428},
D{l:7,t:0,i:524},
D{l:8,t:0,i:169},
D{l:8,t:0,i:234},
D{l:9,t:0,i:480},
D{l:138,t:0,i:646},
D{l:133,t:10,i:855},
D{l:134,t:0,i:1648},
D{l:7,t:0,i:1205},
D{l:138,t:0,i:637},
D{l:7,t:0,i:1596},
D{l:4,t:11,i:935},
D{l:133,t:11,i:823},
D{l:5,t:11,i:269},
D{l:7,t:11,i:434},
D{l:7,t:11,i:891},
D{l:8,t:11,i:339},
D{l:9,t:11,i:702},
D{l:11,t:11,i:594},
D{l:11,t:11,i:718},
D{l:145,t:11,i:100},
D{l:7,t:11,i:878},
D{l:9,t:11,i:485},
D{l:141,t:11,i:264},
D{l:4,t:0,i:266},
D{l:8,t:0,i:4},
D{l:9,t:0,i:39},
D{l:10,t:0,i:166},
D{l:11,t:0,i:918},
D{l:12,t:0,i:635},
D{l:20,t:0,i:10},
D{l:22,t:0,i:27},
D{l:22,t:0,i:43},
D{l:22,t:0,i:52},
D{l:134,t:11,i:1713},
D{l:7,t:10,i:1400},
D{l:9,t:10,i:446},
D{l:138,t:10,i:45},
D{l:135,t:11,i:900},
D{l:132,t:0,i:862},
D{l:134,t:0,i:1554},
D{l:135,t:11,i:1033},
D{l:19,t:0,i:16},
D{l:147,t:11,i:16},
D{l:135,t:11,i:1208},
D{l:7,t:0,i:157},
D{l:136,t:0,i:279},
D{l:6,t:0,i:604},
D{l:136,t:0,i:391},
D{l:13,t:10,i:455},
D{l:15,t:10,i:99},
D{l:15,t:10,i:129},
D{l:144,t:10,i:68},
D{l:135,t:10,i:172},
D{l:7,t:0,i:945},
D{l:11,t:0,i:713},
D{l:139,t:0,i:744},
D{l:4,t:0,i:973},
D{l:10,t:0,i:877},
D{l:10,t:0,i:937},
D{l:10,t:0,i:938},
D{l:140,t:0,i:711},
D{l:139,t:0,i:1022},
D{l:132,t:10,i:568},
D{l:142,t:11,i:143},
D{l:4,t:0,i:567},
D{l:9,t:0,i:859},
D{l:132,t:10,i:732},
D{l:7,t:0,i:1846},
D{l:136,t:0,i:628},
D{l:136,t:10,i:733},
D{l:133,t:0,i:762},
D{l:4,t:10,i:428},
D{l:135,t:10,i:1789},
D{l:10,t:0,i:784},
D{l:13,t:0,i:191},
D{l:7,t:10,i:2015},
D{l:140,t:10,i:665},
D{l:133,t:0,i:298},
D{l:7,t:0,i:633},
D{l:7,t:0,i:905},
D{l:7,t:0,i:909},
D{l:7,t:0,i:1538},
D{l:9,t:0,i:767},
D{l:140,t:0,i:636},
D{l:138,t:10,i:806},
D{l:132,t:0,i:795},
D{l:139,t:0,i:301},
D{l:135,t:0,i:1970},
D{l:5,t:11,i:625},
D{l:135,t:11,i:1617},
D{l:135,t:11,i:275},
D{l:7,t:11,i:37},
D{l:8,t:11,i:425},
D{l:8,t:11,i:693},
D{l:9,t:11,i:720},
D{l:10,t:11,i:380},
D{l:10,t:11,i:638},
D{l:11,t:11,i:273},
D{l:11,t:11,i:307},
D{l:11,t:11,i:473},
D{l:12,t:11,i:61},
D{l:143,t:11,i:43},
D{l:135,t:11,i:198},
D{l:134,t:0,i:1236},
D{l:7,t:0,i:369},
D{l:12,t:0,i:644},
D{l:12,t:0,i:645},
D{l:144,t:0,i:90},
D{l:19,t:0,i:15},
D{l:149,t:0,i:27},
D{l:6,t:0,i:71},
D{l:7,t:0,i:845},
D{l:8,t:0,i:160},
D{l:9,t:0,i:318},
D{l:6,t:10,i:1623},
D{l:134,t:10,i:1681},
D{l:134,t:0,i:1447},
D{l:134,t:0,i:1255},
D{l:138,t:0,i:735},
D{l:8,t:0,i:76},
D{l:132,t:11,i:168},
D{l:6,t:10,i:1748},
D{l:8,t:10,i:715},
D{l:9,t:10,i:802},
D{l:10,t:10,i:46},
D{l:10,t:10,i:819},
D{l:13,t:10,i:308},
D{l:14,t:10,i:351},
D{l:14,t:10,i:363},
D{l:146,t:10,i:67},
D{l:135,t:11,i:91},
D{l:6,t:0,i:474},
D{l:4,t:10,i:63},
D{l:133,t:10,i:347},
D{l:133,t:10,i:749},
D{l:138,t:0,i:841},
D{l:133,t:10,i:366},
D{l:6,t:0,i:836},
D{l:132,t:11,i:225},
D{l:135,t:0,i:1622},
D{l:135,t:10,i:89},
D{l:140,t:0,i:735},
D{l:134,t:0,i:1601},
D{l:138,t:11,i:145},
D{l:6,t:0,i:1390},
D{l:137,t:0,i:804},
D{l:142,t:0,i:394},
D{l:6,t:11,i:15},
D{l:7,t:11,i:70},
D{l:10,t:11,i:240},
D{l:147,t:11,i:93},
D{l:6,t:0,i:96},
D{l:135,t:0,i:1426},
D{l:4,t:0,i:651},
D{l:133,t:0,i:289},
D{l:7,t:11,i:956},
D{l:7,t:10,i:977},
D{l:7,t:11,i:1157},
D{l:7,t:11,i:1506},
D{l:7,t:11,i:1606},
D{l:7,t:11,i:1615},
D{l:7,t:11,i:1619},
D{l:7,t:11,i:1736},
D{l:7,t:11,i:1775},
D{l:8,t:11,i:590},
D{l:9,t:11,i:324},
D{l:9,t:11,i:736},
D{l:9,t:11,i:774},
D{l:9,t:11,i:776},
D{l:9,t:11,i:784},
D{l:10,t:11,i:567},
D{l:10,t:11,i:708},
D{l:11,t:11,i:518},
D{l:11,t:11,i:613},
D{l:11,t:11,i:695},
D{l:11,t:11,i:716},
D{l:11,t:11,i:739},
D{l:11,t:11,i:770},
D{l:11,t:11,i:771},
D{l:11,t:11,i:848},
D{l:11,t:11,i:857},
D{l:11,t:11,i:931},
D{l:11,t:11,i:947},
D{l:12,t:11,i:326},
D{l:12,t:11,i:387},
D{l:12,t:11,i:484},
D{l:12,t:11,i:528},
D{l:12,t:11,i:552},
D{l:12,t:11,i:613},
D{l:13,t:11,i:189},
D{l:13,t:11,i:256},
D{l:13,t:11,i:340},
D{l:13,t:11,i:432},
D{l:13,t:11,i:436},
D{l:13,t:11,i:440},
D{l:13,t:11,i:454},
D{l:14,t:11,i:174},
D{l:14,t:11,i:220},
D{l:14,t:11,i:284},
D{l:14,t:11,i:390},
D{l:145,t:11,i:121},
D{l:7,t:0,i:688},
D{l:8,t:0,i:35},
D{l:9,t:0,i:511},
D{l:10,t:0,i:767},
D{l:147,t:0,i:118},
D{l:134,t:0,i:667},
D{l:4,t:0,i:513},
D{l:5,t:10,i:824},
D{l:133,t:10,i:941},
D{l:7,t:10,i:440},
D{l:8,t:10,i:230},
D{l:139,t:10,i:106},
D{l:134,t:0,i:2034},
D{l:135,t:11,i:1399},
D{l:143,t:11,i:66},
D{l:135,t:11,i:1529},
D{l:4,t:11,i:145},
D{l:6,t:11,i:176},
D{l:7,t:11,i:395},
D{l:9,t:11,i:562},
D{l:144,t:11,i:28},
D{l:132,t:11,i:501},
D{l:132,t:0,i:704},
D{l:134,t:0,i:1524},
D{l:7,t:0,i:1078},
D{l:134,t:11,i:464},
D{l:6,t:11,i:509},
D{l:10,t:11,i:82},
D{l:20,t:11,i:91},
D{l:151,t:11,i:13},
D{l:4,t:0,i:720},
D{l:133,t:0,i:306},
D{l:133,t:0,i:431},
D{l:7,t:0,i:1196},
D{l:4,t:10,i:914},
D{l:5,t:10,i:800},
D{l:133,t:10,i:852},
D{l:135,t:11,i:1189},
D{l:10,t:0,i:54},
D{l:141,t:10,i:115},
D{l:7,t:10,i:564},
D{l:142,t:10,i:168},
D{l:5,t:0,i:464},
D{l:6,t:0,i:236},
D{l:7,t:0,i:696},
D{l:7,t:0,i:914},
D{l:7,t:0,i:1108},
D{l:7,t:0,i:1448},
D{l:9,t:0,i:15},
D{l:9,t:0,i:564},
D{l:10,t:0,i:14},
D{l:12,t:0,i:565},
D{l:13,t:0,i:449},
D{l:14,t:0,i:53},
D{l:15,t:0,i:13},
D{l:16,t:0,i:64},
D{l:17,t:0,i:41},
D{l:4,t:10,i:918},
D{l:133,t:10,i:876},
D{l:6,t:0,i:1418},
D{l:134,t:10,i:1764},
D{l:4,t:10,i:92},
D{l:133,t:10,i:274},
D{l:134,t:0,i:907},
D{l:4,t:11,i:114},
D{l:8,t:10,i:501},
D{l:9,t:11,i:492},
D{l:13,t:11,i:462},
D{l:142,t:11,i:215},
D{l:4,t:11,i:77},
D{l:5,t:11,i:361},
D{l:6,t:11,i:139},
D{l:6,t:11,i:401},
D{l:6,t:11,i:404},
D{l:7,t:11,i:413},
D{l:7,t:11,i:715},
D{l:7,t:11,i:1716},
D{l:11,t:11,i:279},
D{l:12,t:11,i:179},
D{l:12,t:11,i:258},
D{l:13,t:11,i:244},
D{l:142,t:11,i:358},
D{l:6,t:0,i:1767},
D{l:12,t:0,i:194},
D{l:145,t:0,i:107},
D{l:134,t:11,i:1717},
D{l:5,t:10,i:743},
D{l:142,t:11,i:329},
D{l:4,t:10,i:49},
D{l:7,t:10,i:280},
D{l:135,t:10,i:1633},
D{l:5,t:0,i:840},
D{l:7,t:11,i:1061},
D{l:8,t:11,i:82},
D{l:11,t:11,i:250},
D{l:12,t:11,i:420},
D{l:141,t:11,i:184},
D{l:135,t:11,i:724},
D{l:134,t:0,i:900},
D{l:136,t:10,i:47},
D{l:134,t:0,i:1436},
D{l:144,t:11,i:0},
D{l:6,t:0,i:675},
D{l:7,t:0,i:1008},
D{l:7,t:0,i:1560},
D{l:9,t:0,i:642},
D{l:11,t:0,i:236},
D{l:14,t:0,i:193},
D{l:5,t:10,i:272},
D{l:5,t:10,i:908},
D{l:5,t:10,i:942},
D{l:8,t:10,i:197},
D{l:9,t:10,i:47},
D{l:11,t:10,i:538},
D{l:139,t:10,i:742},
D{l:4,t:0,i:68},
D{l:5,t:0,i:628},
D{l:5,t:0,i:634},
D{l:6,t:0,i:386},
D{l:7,t:0,i:794},
D{l:8,t:0,i:273},
D{l:9,t:0,i:563},
D{l:10,t:0,i:105},
D{l:10,t:0,i:171},
D{l:11,t:0,i:94},
D{l:139,t:0,i:354},
D{l:135,t:10,i:1911},
D{l:137,t:10,i:891},
D{l:4,t:0,i:95},
D{l:6,t:0,i:1297},
D{l:6,t:0,i:1604},
D{l:7,t:0,i:416},
D{l:139,t:0,i:830},
D{l:6,t:11,i:513},
D{l:135,t:11,i:1052},
D{l:7,t:0,i:731},
D{l:13,t:0,i:20},
D{l:143,t:0,i:11},
D{l:137,t:11,i:899},
D{l:10,t:0,i:850},
D{l:140,t:0,i:697},
D{l:4,t:0,i:662},
D{l:7,t:11,i:1417},
D{l:12,t:11,i:382},
D{l:17,t:11,i:48},
D{l:152,t:11,i:12},
D{l:133,t:0,i:736},
D{l:132,t:0,i:861},
D{l:4,t:10,i:407},
D{l:132,t:10,i:560},
D{l:141,t:10,i:490},
D{l:6,t:11,i:545},
D{l:7,t:11,i:565},
D{l:7,t:11,i:1669},
D{l:10,t:11,i:114},
D{l:11,t:11,i:642},
D{l:140,t:11,i:618},
D{l:6,t:0,i:871},
D{l:134,t:0,i:1000},
D{l:5,t:0,i:864},
D{l:10,t:0,i:648},
D{l:11,t:0,i:671},
D{l:15,t:0,i:46},
D{l:133,t:11,i:5},
D{l:133,t:0,i:928},
D{l:11,t:0,i:90},
D{l:13,t:0,i:7},
D{l:4,t:10,i:475},
D{l:11,t:10,i:35},
D{l:13,t:10,i:71},
D{l:13,t:10,i:177},
D{l:142,t:10,i:422},
D{l:136,t:0,i:332},
D{l:135,t:11,i:192},
D{l:134,t:0,i:1055},
D{l:136,t:11,i:763},
D{l:11,t:0,i:986},
D{l:140,t:0,i:682},
D{l:7,t:0,i:76},
D{l:8,t:0,i:44},
D{l:9,t:0,i:884},
D{l:10,t:0,i:580},
D{l:11,t:0,i:399},
D{l:11,t:0,i:894},
D{l:143,t:0,i:122},
D{l:135,t:11,i:1237},
D{l:135,t:10,i:636},
D{l:11,t:0,i:300},
D{l:6,t:10,i:222},
D{l:7,t:10,i:1620},
D{l:8,t:10,i:409},
D{l:137,t:10,i:693},
D{l:4,t:11,i:87},
D{l:5,t:11,i:250},
D{l:10,t:11,i:601},
D{l:13,t:11,i:298},
D{l:13,t:11,i:353},
D{l:141,t:11,i:376},
D{l:5,t:0,i:518},
D{l:10,t:0,i:340},
D{l:11,t:0,i:175},
D{l:149,t:0,i:16},
D{l:140,t:0,i:771},
D{l:6,t:0,i:1108},
D{l:137,t:0,i:831},
D{l:132,t:0,i:836},
D{l:135,t:0,i:1852},
D{l:4,t:0,i:957},
D{l:6,t:0,i:1804},
D{l:8,t:0,i:842},
D{l:8,t:0,i:843},
D{l:8,t:0,i:851},
D{l:8,t:0,i:855},
D{l:140,t:0,i:767},
D{l:135,t:11,i:814},
D{l:4,t:11,i:57},
D{l:7,t:11,i:1195},
D{l:7,t:11,i:1438},
D{l:7,t:11,i:1548},
D{l:7,t:11,i:1835},
D{l:7,t:11,i:1904},
D{l:9,t:11,i:757},
D{l:10,t:11,i:604},
D{l:139,t:11,i:519},
D{l:133,t:10,i:882},
D{l:138,t:0,i:246},
D{l:4,t:0,i:934},
D{l:5,t:0,i:202},
D{l:8,t:0,i:610},
D{l:7,t:11,i:1897},
D{l:12,t:11,i:290},
D{l:13,t:11,i:80},
D{l:13,t:11,i:437},
D{l:145,t:11,i:74},
D{l:8,t:0,i:96},
D{l:9,t:0,i:36},
D{l:10,t:0,i:607},
D{l:10,t:0,i:804},
D{l:10,t:0,i:832},
D{l:11,t:0,i:423},
D{l:11,t:0,i:442},
D{l:12,t:0,i:309},
D{l:14,t:0,i:199},
D{l:15,t:0,i:90},
D{l:145,t:0,i:110},
D{l:132,t:10,i:426},
D{l:7,t:0,i:654},
D{l:8,t:0,i:240},
D{l:6,t:10,i:58},
D{l:7,t:10,i:745},
D{l:7,t:10,i:1969},
D{l:8,t:10,i:675},
D{l:9,t:10,i:479},
D{l:9,t:10,i:731},
D{l:10,t:10,i:330},
D{l:10,t:10,i:593},
D{l:10,t:10,i:817},
D{l:11,t:10,i:32},
D{l:11,t:10,i:133},
D{l:11,t:10,i:221},
D{l:145,t:10,i:68},
D{l:9,t:0,i:13},
D{l:9,t:0,i:398},
D{l:9,t:0,i:727},
D{l:10,t:0,i:75},
D{l:10,t:0,i:184},
D{l:10,t:0,i:230},
D{l:10,t:0,i:564},
D{l:10,t:0,i:569},
D{l:11,t:0,i:973},
D{l:12,t:0,i:70},
D{l:12,t:0,i:189},
D{l:13,t:0,i:57},
D{l:141,t:0,i:257},
D{l:4,t:11,i:209},
D{l:135,t:11,i:902},
D{l:7,t:0,i:391},
D{l:137,t:10,i:538},
D{l:134,t:0,i:403},
D{l:6,t:11,i:303},
D{l:7,t:11,i:335},
D{l:7,t:11,i:1437},
D{l:7,t:11,i:1668},
D{l:8,t:11,i:553},
D{l:8,t:11,i:652},
D{l:8,t:11,i:656},
D{l:9,t:11,i:558},
D{l:11,t:11,i:743},
D{l:149,t:11,i:18},
D{l:132,t:11,i:559},
D{l:11,t:0,i:75},
D{l:142,t:0,i:267},
D{l:6,t:0,i:815},
D{l:141,t:11,i:2},
D{l:141,t:0,i:366},
D{l:137,t:0,i:631},
D{l:133,t:11,i:1017},
D{l:5,t:0,i:345},
D{l:135,t:0,i:1016},
D{l:133,t:11,i:709},
D{l:134,t:11,i:1745},
D{l:133,t:10,i:566},
D{l:7,t:0,i:952},
D{l:6,t:10,i:48},
D{l:9,t:10,i:139},
D{l:10,t:10,i:399},
D{l:11,t:10,i:469},
D{l:12,t:10,i:634},
D{l:141,t:10,i:223},
D{l:133,t:0,i:673},
D{l:9,t:0,i:850},
D{l:7,t:11,i:8},
D{l:136,t:11,i:206},
D{l:6,t:0,i:662},
D{l:149,t:0,i:35},
D{l:4,t:0,i:287},
D{l:133,t:0,i:1018},
D{l:6,t:10,i:114},
D{l:7,t:10,i:1224},
D{l:7,t:10,i:1556},
D{l:136,t:10,i:3},
D{l:8,t:10,i:576},
D{l:137,t:10,i:267},
D{l:4,t:0,i:884},
D{l:5,t:0,i:34},
D{l:10,t:0,i:724},
D{l:12,t:0,i:444},
D{l:13,t:0,i:354},
D{l:18,t:0,i:32},
D{l:23,t:0,i:24},
D{l:23,t:0,i:31},
D{l:152,t:0,i:5},
D{l:133,t:10,i:933},
D{l:132,t:11,i:776},
D{l:138,t:0,i:151},
D{l:136,t:0,i:427},
D{l:134,t:0,i:382},
D{l:132,t:0,i:329},
D{l:9,t:0,i:846},
D{l:10,t:0,i:827},
D{l:138,t:11,i:33},
D{l:9,t:0,i:279},
D{l:10,t:0,i:407},
D{l:14,t:0,i:84},
D{l:22,t:0,i:18},
D{l:135,t:11,i:1297},
D{l:136,t:11,i:406},
D{l:132,t:0,i:906},
D{l:136,t:0,i:366},
D{l:134,t:0,i:843},
D{l:134,t:0,i:1443},
D{l:135,t:0,i:1372},
D{l:138,t:0,i:992},
D{l:4,t:0,i:123},
D{l:5,t:0,i:605},
D{l:7,t:0,i:1509},
D{l:136,t:0,i:36},
D{l:132,t:0,i:649},
D{l:8,t:11,i:175},
D{l:10,t:11,i:168},
D{l:138,t:11,i:573},
D{l:133,t:0,i:767},
D{l:134,t:0,i:1018},
D{l:135,t:11,i:1305},
D{l:12,t:10,i:30},
D{l:13,t:10,i:148},
D{l:14,t:10,i:87},
D{l:14,t:10,i:182},
D{l:16,t:10,i:42},
D{l:148,t:10,i:70},
D{l:134,t:11,i:607},
D{l:4,t:0,i:273},
D{l:5,t:0,i:658},
D{l:133,t:0,i:995},
D{l:6,t:0,i:72},
D{l:139,t:11,i:174},
D{l:10,t:0,i:483},
D{l:12,t:0,i:368},
D{l:7,t:10,i:56},
D{l:7,t:10,i:1989},
D{l:8,t:10,i:337},
D{l:8,t:10,i:738},
D{l:9,t:10,i:600},
D{l:13,t:10,i:447},
D{l:142,t:10,i:92},
D{l:5,t:11,i:784},
D{l:138,t:10,i:666},
D{l:135,t:0,i:1345},
D{l:139,t:11,i:882},
D{l:134,t:0,i:1293},
D{l:133,t:0,i:589},
D{l:134,t:0,i:1988},
D{l:5,t:0,i:117},
D{l:6,t:0,i:514},
D{l:6,t:0,i:541},
D{l:7,t:0,i:1164},
D{l:7,t:0,i:1436},
D{l:8,t:0,i:220},
D{l:8,t:0,i:648},
D{l:10,t:0,i:688},
D{l:139,t:0,i:560},
D{l:136,t:0,i:379},
D{l:5,t:0,i:686},
D{l:7,t:10,i:866},
D{l:135,t:10,i:1163},
D{l:132,t:10,i:328},
D{l:9,t:11,i:14},
D{l:9,t:11,i:441},
D{l:10,t:11,i:306},
D{l:139,t:11,i:9},
D{l:4,t:10,i:101},
D{l:135,t:10,i:1171},
D{l:5,t:10,i:833},
D{l:136,t:10,i:744},
D{l:5,t:11,i:161},
D{l:7,t:11,i:839},
D{l:135,t:11,i:887},
D{l:7,t:0,i:196},
D{l:10,t:0,i:765},
D{l:11,t:0,i:347},
D{l:11,t:0,i:552},
D{l:11,t:0,i:790},
D{l:12,t:0,i:263},
D{l:13,t:0,i:246},
D{l:13,t:0,i:270},
D{l:13,t:0,i:395},
D{l:14,t:0,i:176},
D{l:14,t:0,i:190},
D{l:14,t:0,i:398},
D{l:14,t:0,i:412},
D{l:15,t:0,i:32},
D{l:15,t:0,i:63},
D{l:16,t:0,i:88},
D{l:147,t:0,i:105},
D{l:6,t:10,i:9},
D{l:6,t:10,i:397},
D{l:7,t:10,i:53},
D{l:7,t:10,i:1742},
D{l:10,t:10,i:632},
D{l:11,t:10,i:828},
D{l:140,t:10,i:146},
D{l:5,t:0,i:381},
D{l:135,t:0,i:1792},
D{l:134,t:0,i:1452},
D{l:135,t:11,i:429},
D{l:8,t:0,i:367},
D{l:10,t:0,i:760},
D{l:14,t:0,i:79},
D{l:20,t:0,i:17},
D{l:152,t:0,i:0},
D{l:7,t:0,i:616},
D{l:138,t:0,i:413},
D{l:11,t:10,i:417},
D{l:12,t:10,i:223},
D{l:140,t:10,i:265},
D{l:7,t:11,i:1611},
D{l:13,t:11,i:14},
D{l:15,t:11,i:44},
D{l:19,t:11,i:13},
D{l:148,t:11,i:76},
D{l:135,t:0,i:1229},
D{l:6,t:0,i:120},
D{l:7,t:0,i:1188},
D{l:7,t:0,i:1710},
D{l:8,t:0,i:286},
D{l:9,t:0,i:667},
D{l:11,t:0,i:592},
D{l:139,t:0,i:730},
D{l:135,t:11,i:1814},
D{l:135,t:0,i:1146},
D{l:4,t:10,i:186},
D{l:5,t:10,i:157},
D{l:8,t:10,i:168},
D{l:138,t:10,i:6},
D{l:4,t:0,i:352},
D{l:135,t:0,i:687},
D{l:4,t:0,i:192},
D{l:5,t:0,i:49},
D{l:6,t:0,i:200},
D{l:6,t:0,i:293},
D{l:6,t:0,i:1696},
D{l:135,t:0,i:1151},
D{l:133,t:10,i:875},
D{l:5,t:10,i:773},
D{l:5,t:10,i:991},
D{l:6,t:10,i:1635},
D{l:134,t:10,i:1788},
D{l:7,t:10,i:111},
D{l:136,t:10,i:581},
D{l:6,t:0,i:935},
D{l:134,t:0,i:1151},
D{l:134,t:0,i:1050},
D{l:132,t:0,i:650},
D{l:132,t:0,i:147},
D{l:11,t:0,i:194},
D{l:12,t:0,i:62},
D{l:12,t:0,i:88},
D{l:11,t:11,i:194},
D{l:12,t:11,i:62},
D{l:140,t:11,i:88},
D{l:6,t:0,i:339},
D{l:135,t:0,i:923},
D{l:134,t:10,i:1747},
D{l:7,t:11,i:643},
D{l:136,t:11,i:236},
D{l:133,t:0,i:934},
D{l:7,t:10,i:1364},
D{l:7,t:10,i:1907},
D{l:141,t:10,i:158},
D{l:132,t:10,i:659},
D{l:4,t:10,i:404},
D{l:135,t:10,i:675},
D{l:7,t:11,i:581},
D{l:9,t:11,i:644},
D{l:137,t:11,i:699},
D{l:13,t:0,i:211},
D{l:14,t:0,i:133},
D{l:14,t:0,i:204},
D{l:15,t:0,i:64},
D{l:15,t:0,i:69},
D{l:15,t:0,i:114},
D{l:16,t:0,i:10},
D{l:19,t:0,i:23},
D{l:19,t:0,i:35},
D{l:19,t:0,i:39},
D{l:19,t:0,i:51},
D{l:19,t:0,i:71},
D{l:19,t:0,i:75},
D{l:152,t:0,i:15},
D{l:133,t:10,i:391},
D{l:5,t:11,i:54},
D{l:135,t:11,i:1513},
D{l:7,t:0,i:222},
D{l:8,t:0,i:341},
D{l:5,t:10,i:540},
D{l:134,t:10,i:1697},
D{l:134,t:10,i:78},
D{l:132,t:11,i:744},
D{l:136,t:0,i:293},
D{l:137,t:11,i:701},
D{l:7,t:11,i:930},
D{l:10,t:11,i:402},
D{l:10,t:11,i:476},
D{l:13,t:11,i:452},
D{l:18,t:11,i:55},
D{l:147,t:11,i:104},
D{l:132,t:0,i:637},
D{l:133,t:10,i:460},
D{l:8,t:11,i:50},
D{l:137,t:11,i:624},
D{l:132,t:11,i:572},
D{l:134,t:0,i:1159},
D{l:4,t:10,i:199},
D{l:139,t:10,i:34},
D{l:134,t:0,i:847},
D{l:134,t:10,i:388},
D{l:6,t:11,i:43},
D{l:7,t:11,i:38},
D{l:8,t:11,i:248},
D{l:9,t:11,i:504},
D{l:138,t:11,i:513},
D{l:9,t:0,i:683},
D{l:4,t:10,i:511},
D{l:6,t:10,i:608},
D{l:9,t:10,i:333},
D{l:10,t:10,i:602},
D{l:11,t:10,i:441},
D{l:11,t:10,i:723},
D{l:11,t:10,i:976},
D{l:140,t:10,i:357},
D{l:9,t:0,i:867},
D{l:138,t:0,i:837},
D{l:6,t:0,i:944},
D{l:135,t:11,i:326},
D{l:135,t:0,i:1809},
D{l:5,t:10,i:938},
D{l:7,t:11,i:783},
D{l:136,t:10,i:707},
D{l:133,t:11,i:766},
D{l:133,t:11,i:363},
D{l:6,t:0,i:170},
D{l:7,t:0,i:1080},
D{l:8,t:0,i:395},
D{l:8,t:0,i:487},
D{l:141,t:0,i:147},
D{l:6,t:11,i:258},
D{l:140,t:11,i:409},
D{l:4,t:0,i:535},
D{l:8,t:0,i:618},
D{l:5,t:11,i:249},
D{l:148,t:11,i:82},
D{l:6,t:0,i:1379},
D{l:149,t:11,i:15},
D{l:135,t:0,i:1625},
D{l:150,t:0,i:23},
D{l:5,t:11,i:393},
D{l:6,t:11,i:378},
D{l:7,t:11,i:1981},
D{l:9,t:11,i:32},
D{l:9,t:11,i:591},
D{l:10,t:11,i:685},
D{l:10,t:11,i:741},
D{l:142,t:11,i:382},
D{l:133,t:11,i:788},
D{l:7,t:11,i:1968},
D{l:10,t:11,i:19},
D{l:139,t:11,i:911},
D{l:7,t:11,i:1401},
D{l:135,t:11,i:1476},
D{l:4,t:11,i:61},
D{l:5,t:11,i:58},
D{l:5,t:11,i:171},
D{l:5,t:11,i:635},
D{l:5,t:11,i:683},
D{l:5,t:11,i:700},
D{l:6,t:11,i:291},
D{l:6,t:11,i:566},
D{l:7,t:11,i:1650},
D{l:11,t:11,i:523},
D{l:12,t:11,i:273},
D{l:12,t:11,i:303},
D{l:15,t:11,i:39},
D{l:143,t:11,i:111},
D{l:6,t:10,i:469},
D{l:7,t:10,i:1709},
D{l:138,t:10,i:515},
D{l:4,t:0,i:778},
D{l:134,t:11,i:589},
D{l:132,t:0,i:46},
D{l:5,t:0,i:811},
D{l:6,t:0,i:1679},
D{l:6,t:0,i:1714},
D{l:135,t:0,i:2032},
D{l:7,t:0,i:1458},
D{l:9,t:0,i:407},
D{l:11,t:0,i:15},
D{l:12,t:0,i:651},
D{l:149,t:0,i:37},
D{l:7,t:0,i:938},
D{l:132,t:10,i:500},
D{l:6,t:0,i:34},
D{l:7,t:0,i:69},
D{l:7,t:0,i:1089},
D{l:7,t:0,i:1281},
D{l:8,t:0,i:708},
D{l:8,t:0,i:721},
D{l:9,t:0,i:363},
D{l:148,t:0,i:98},
D{l:10,t:11,i:231},
D{l:147,t:11,i:124},
D{l:7,t:11,i:726},
D{l:152,t:11,i:9},
D{l:5,t:10,i:68},
D{l:134,t:10,i:383},
D{l:136,t:11,i:583},
D{l:4,t:11,i:917},
D{l:133,t:11,i:1005},
D{l:11,t:10,i:216},
D{l:139,t:10,i:340},
D{l:135,t:11,i:1675},
D{l:8,t:0,i:441},
D{l:10,t:0,i:314},
D{l:143,t:0,i:3},
D{l:132,t:11,i:919},
D{l:4,t:10,i:337},
D{l:6,t:10,i:353},
D{l:7,t:10,i:1934},
D{l:8,t:10,i:488},
D{l:137,t:10,i:429},
D{l:7,t:0,i:889},
D{l:7,t:10,i:1795},
D{l:8,t:10,i:259},
D{l:9,t:10,i:135},
D{l:9,t:10,i:177},
D{l:9,t:10,i:860},
D{l:10,t:10,i:825},
D{l:11,t:10,i:115},
D{l:11,t:10,i:370},
D{l:11,t:10,i:405},
D{l:11,t:10,i:604},
D{l:12,t:10,i:10},
D{l:12,t:10,i:667},
D{l:12,t:10,i:669},
D{l:13,t:10,i:76},
D{l:14,t:10,i:310},
D{l:15,t:10,i:76},
D{l:15,t:10,i:147},
D{l:148,t:10,i:23},
D{l:4,t:10,i:15},
D{l:4,t:11,i:255},
D{l:5,t:10,i:22},
D{l:5,t:11,i:302},
D{l:6,t:11,i:132},
D{l:6,t:10,i:244},
D{l:7,t:10,i:40},
D{l:7,t:11,i:128},
D{l:7,t:10,i:200},
D{l:7,t:11,i:283},
D{l:7,t:10,i:906},
D{l:7,t:10,i:1199},
D{l:7,t:11,i:1299},
D{l:9,t:10,i:616},
D{l:10,t:11,i:52},
D{l:10,t:11,i:514},
D{l:10,t:10,i:716},
D{l:11,t:10,i:635},
D{l:11,t:10,i:801},
D{l:11,t:11,i:925},
D{l:12,t:10,i:458},
D{l:13,t:11,i:92},
D{l:142,t:11,i:309},
D{l:132,t:0,i:462},
D{l:137,t:11,i:173},
D{l:135,t:10,i:1735},
D{l:8,t:0,i:525},
D{l:5,t:10,i:598},
D{l:7,t:10,i:791},
D{l:8,t:10,i:108},
D{l:137,t:10,i:123},
D{l:5,t:0,i:73},
D{l:6,t:0,i:23},
D{l:134,t:0,i:338},
D{l:132,t:0,i:676},
D{l:132,t:10,i:683},
D{l:7,t:0,i:725},
D{l:8,t:0,i:498},
D{l:139,t:0,i:268},
D{l:12,t:0,i:21},
D{l:151,t:0,i:7},
D{l:135,t:0,i:773},
D{l:4,t:10,i:155},
D{l:135,t:10,i:1689},
D{l:4,t:0,i:164},
D{l:5,t:0,i:730},
D{l:5,t:10,i:151},
D{l:5,t:10,i:741},
D{l:6,t:11,i:210},
D{l:7,t:10,i:498},
D{l:7,t:10,i:870},
D{l:7,t:10,i:1542},
D{l:12,t:10,i:213},
D{l:14,t:10,i:36},
D{l:14,t:10,i:391},
D{l:17,t:10,i:111},
D{l:18,t:10,i:6},
D{l:18,t:10,i:46},
D{l:18,t:10,i:151},
D{l:19,t:10,i:36},
D{l:20,t:10,i:32},
D{l:20,t:10,i:56},
D{l:20,t:10,i:69},
D{l:20,t:10,i:102},
D{l:21,t:10,i:4},
D{l:22,t:10,i:8},
D{l:22,t:10,i:10},
D{l:22,t:10,i:14},
D{l:150,t:10,i:31},
D{l:4,t:10,i:624},
D{l:135,t:10,i:1752},
D{l:4,t:0,i:583},
D{l:9,t:0,i:936},
D{l:15,t:0,i:214},
D{l:18,t:0,i:199},
D{l:24,t:0,i:26},
D{l:134,t:11,i:588},
D{l:7,t:0,i:1462},
D{l:11,t:0,i:659},
D{l:4,t:11,i:284},
D{l:134,t:11,i:223},
D{l:133,t:0,i:220},
D{l:139,t:0,i:803},
D{l:132,t:0,i:544},
D{l:4,t:10,i:492},
D{l:133,t:10,i:451},
D{l:16,t:0,i:98},
D{l:148,t:0,i:119},
D{l:4,t:11,i:218},
D{l:7,t:11,i:526},
D{l:143,t:11,i:137},
D{l:135,t:10,i:835},
D{l:4,t:11,i:270},
D{l:5,t:11,i:192},
D{l:6,t:11,i:332},
D{l:7,t:11,i:1322},
D{l:13,t:11,i:9},
D{l:13,t:10,i:70},
D{l:14,t:11,i:104},
D{l:142,t:11,i:311},
D{l:132,t:10,i:539},
D{l:140,t:11,i:661},
D{l:5,t:0,i:176},
D{l:6,t:0,i:437},
D{l:6,t:0,i:564},
D{l:11,t:0,i:181},
D{l:141,t:0,i:183},
D{l:135,t:0,i:1192},
D{l:6,t:10,i:113},
D{l:135,t:10,i:436},
D{l:136,t:10,i:718},
D{l:135,t:10,i:520},
D{l:135,t:0,i:1878},
D{l:140,t:11,i:196},
D{l:7,t:11,i:379},
D{l:8,t:11,i:481},
D{l:137,t:11,i:377},
D{l:5,t:11,i:1003},
D{l:6,t:11,i:149},
D{l:137,t:11,i:746},
D{l:8,t:11,i:262},
D{l:9,t:11,i:627},
D{l:10,t:11,i:18},
D{l:11,t:11,i:214},
D{l:11,t:11,i:404},
D{l:11,t:11,i:457},
D{l:11,t:11,i:780},
D{l:11,t:11,i:849},
D{l:11,t:11,i:913},
D{l:13,t:11,i:330},
D{l:13,t:11,i:401},
D{l:142,t:11,i:200},
D{l:149,t:0,i:26},
D{l:136,t:11,i:304},
D{l:132,t:11,i:142},
D{l:135,t:0,i:944},
D{l:4,t:0,i:790},
D{l:5,t:0,i:273},
D{l:134,t:0,i:394},
D{l:134,t:0,i:855},
D{l:4,t:0,i:135},
D{l:6,t:0,i:127},
D{l:7,t:0,i:1185},
D{l:7,t:0,i:1511},
D{l:8,t:0,i:613},
D{l:11,t:0,i:5},
D{l:12,t:0,i:336},
D{l:12,t:0,i:495},
D{l:12,t:0,i:586},
D{l:12,t:0,i:660},
D{l:12,t:0,i:668},
D{l:14,t:0,i:385},
D{l:15,t:0,i:118},
D{l:17,t:0,i:20},
D{l:146,t:0,i:98},
D{l:6,t:0,i:230},
D{l:9,t:0,i:752},
D{l:18,t:0,i:109},
D{l:12,t:10,i:610},
D{l:13,t:10,i:431},
D{l:144,t:10,i:59},
D{l:7,t:0,i:1954},
D{l:135,t:11,i:925},
D{l:4,t:11,i:471},
D{l:5,t:11,i:51},
D{l:6,t:11,i:602},
D{l:8,t:11,i:484},
D{l:10,t:11,i:195},
D{l:140,t:11,i:159},
D{l:132,t:10,i:307},
D{l:136,t:11,i:688},
D{l:132,t:11,i:697},
D{l:7,t:11,i:812},
D{l:7,t:11,i:1261},
D{l:7,t:11,i:1360},
D{l:9,t:11,i:632},
D{l:140,t:11,i:352},
D{l:5,t:0,i:162},
D{l:8,t:0,i:68},
D{l:133,t:10,i:964},
D{l:4,t:0,i:654},
D{l:136,t:11,i:212},
D{l:4,t:0,i:156},
D{l:7,t:0,i:998},
D{l:7,t:0,i:1045},
D{l:7,t:0,i:1860},
D{l:9,t:0,i:48},
D{l:9,t:0,i:692},
D{l:11,t:0,i:419},
D{l:139,t:0,i:602},
D{l:133,t:11,i:221},
D{l:4,t:11,i:373},
D{l:5,t:11,i:283},
D{l:6,t:11,i:480},
D{l:135,t:11,i:609},
D{l:142,t:11,i:216},
D{l:132,t:0,i:240},
D{l:6,t:11,i:192},
D{l:9,t:11,i:793},
D{l:145,t:11,i:55},
D{l:4,t:10,i:75},
D{l:5,t:10,i:180},
D{l:6,t:10,i:500},
D{l:7,t:10,i:58},
D{l:7,t:10,i:710},
D{l:138,t:10,i:645},
D{l:4,t:11,i:132},
D{l:5,t:11,i:69},
D{l:5,t:10,i:649},
D{l:135,t:11,i:1242},
D{l:6,t:10,i:276},
D{l:7,t:10,i:282},
D{l:7,t:10,i:879},
D{l:7,t:10,i:924},
D{l:8,t:10,i:459},
D{l:9,t:10,i:599},
D{l:9,t:10,i:754},
D{l:11,t:10,i:574},
D{l:12,t:10,i:128},
D{l:12,t:10,i:494},
D{l:13,t:10,i:52},
D{l:13,t:10,i:301},
D{l:15,t:10,i:30},
D{l:143,t:10,i:132},
D{l:132,t:10,i:200},
D{l:4,t:11,i:111},
D{l:135,t:11,i:302},
D{l:9,t:0,i:197},
D{l:10,t:0,i:300},
D{l:12,t:0,i:473},
D{l:13,t:0,i:90},
D{l:141,t:0,i:405},
D{l:132,t:11,i:767},
D{l:6,t:11,i:42},
D{l:7,t:11,i:1416},
D{l:7,t:11,i:1590},
D{l:7,t:11,i:2005},
D{l:8,t:11,i:131},
D{l:8,t:11,i:466},
D{l:9,t:11,i:672},
D{l:13,t:11,i:252},
D{l:148,t:11,i:103},
D{l:8,t:0,i:958},
D{l:8,t:0,i:999},
D{l:10,t:0,i:963},
D{l:138,t:0,i:1001},
D{l:135,t:10,i:1621},
D{l:135,t:0,i:858},
D{l:4,t:0,i:606},
D{l:137,t:11,i:444},
D{l:6,t:11,i:44},
D{l:136,t:11,i:368},
D{l:139,t:11,i:172},
D{l:4,t:11,i:570},
D{l:133,t:11,i:120},
D{l:139,t:11,i:624},
D{l:7,t:0,i:1978},
D{l:8,t:0,i:676},
D{l:6,t:10,i:225},
D{l:137,t:10,i:211},
D{l:7,t:0,i:972},
D{l:11,t:0,i:102},
D{l:136,t:10,i:687},
D{l:6,t:11,i:227},
D{l:135,t:11,i:1589},
D{l:8,t:10,i:58},
D{l:9,t:10,i:724},
D{l:11,t:10,i:809},
D{l:13,t:10,i:113},
D{l:145,t:10,i:72},
D{l:4,t:0,i:361},
D{l:133,t:0,i:315},
D{l:132,t:0,i:461},
D{l:6,t:10,i:345},
D{l:135,t:10,i:1247},
D{l:132,t:0,i:472},
D{l:8,t:10,i:767},
D{l:8,t:10,i:803},
D{l:9,t:10,i:301},
D{l:137,t:10,i:903},
D{l:135,t:11,i:1333},
D{l:135,t:11,i:477},
D{l:7,t:10,i:1949},
D{l:136,t:10,i:674},
D{l:6,t:0,i:905},
D{l:138,t:0,i:747},
D{l:133,t:0,i:155},
D{l:134,t:10,i:259},
D{l:7,t:0,i:163},
D{l:8,t:0,i:319},
D{l:9,t:0,i:402},
D{l:10,t:0,i:24},
D{l:10,t:0,i:681},
D{l:11,t:0,i:200},
D{l:12,t:0,i:253},
D{l:12,t:0,i:410},
D{l:142,t:0,i:219},
D{l:5,t:0,i:475},
D{l:7,t:0,i:1780},
D{l:9,t:0,i:230},
D{l:11,t:0,i:297},
D{l:11,t:0,i:558},
D{l:14,t:0,i:322},
D{l:19,t:0,i:76},
D{l:6,t:11,i:1667},
D{l:7,t:11,i:2036},
D{l:138,t:11,i:600},
D{l:136,t:10,i:254},
D{l:6,t:0,i:848},
D{l:135,t:0,i:1956},
D{l:6,t:11,i:511},
D{l:140,t:11,i:132},
D{l:5,t:11,i:568},
D{l:6,t:11,i:138},
D{l:135,t:11,i:1293},
D{l:6,t:0,i:631},
D{l:137,t:0,i:838},
D{l:149,t:0,i:36},
D{l:4,t:11,i:565},
D{l:8,t:11,i:23},
D{l:136,t:11,i:827},
D{l:5,t:0,i:944},
D{l:134,t:0,i:1769},
D{l:4,t:0,i:144},
D{l:6,t:0,i:842},
D{l:6,t:0,i:1400},
D{l:4,t:11,i:922},
D{l:133,t:11,i:1023},
D{l:133,t:10,i:248},
D{l:9,t:10,i:800},
D{l:10,t:10,i:693},
D{l:11,t:10,i:482},
D{l:11,t:10,i:734},
D{l:139,t:10,i:789},
D{l:7,t:11,i:1002},
D{l:139,t:11,i:145},
D{l:4,t:10,i:116},
D{l:5,t:10,i:95},
D{l:5,t:10,i:445},
D{l:7,t:10,i:1688},
D{l:8,t:10,i:29},
D{l:9,t:10,i:272},
D{l:11,t:10,i:509},
D{l:139,t:10,i:915},
D{l:14,t:0,i:369},
D{l:146,t:0,i:72},
D{l:135,t:10,i:1641},
D{l:132,t:11,i:740},
D{l:133,t:10,i:543},
D{l:140,t:11,i:116},
D{l:6,t:0,i:247},
D{l:9,t:0,i:555},
D{l:5,t:10,i:181},
D{l:136,t:10,i:41},
D{l:133,t:10,i:657},
D{l:136,t:0,i:996},
D{l:138,t:10,i:709},
D{l:7,t:0,i:189},
D{l:8,t:10,i:202},
D{l:138,t:10,i:536},
D{l:136,t:11,i:402},
D{l:4,t:11,i:716},
D{l:141,t:11,i:31},
D{l:10,t:0,i:280},
D{l:138,t:0,i:797},
D{l:9,t:10,i:423},
D{l:140,t:10,i:89},
D{l:8,t:10,i:113},
D{l:9,t:10,i:877},
D{l:10,t:10,i:554},
D{l:11,t:10,i:83},
D{l:12,t:10,i:136},
D{l:147,t:10,i:109},
D{l:133,t:10,i:976},
D{l:7,t:0,i:746},
D{l:132,t:10,i:206},
D{l:136,t:0,i:526},
D{l:139,t:0,i:345},
D{l:136,t:0,i:1017},
D{l:8,t:11,i:152},
D{l:9,t:11,i:53},
D{l:9,t:11,i:268},
D{l:9,t:11,i:901},
D{l:10,t:11,i:518},
D{l:10,t:11,i:829},
D{l:11,t:11,i:188},
D{l:13,t:11,i:74},
D{l:14,t:11,i:46},
D{l:15,t:11,i:17},
D{l:15,t:11,i:33},
D{l:17,t:11,i:40},
D{l:18,t:11,i:36},
D{l:19,t:11,i:20},
D{l:22,t:11,i:1},
D{l:152,t:11,i:2},
D{l:133,t:11,i:736},
D{l:136,t:11,i:532},
D{l:5,t:0,i:428},
D{l:138,t:0,i:651},
D{l:135,t:11,i:681},
D{l:135,t:0,i:1162},
D{l:7,t:0,i:327},
D{l:13,t:0,i:230},
D{l:17,t:0,i:113},
D{l:8,t:10,i:226},
D{l:10,t:10,i:537},
D{l:11,t:10,i:570},
D{l:11,t:10,i:605},
D{l:11,t:10,i:799},
D{l:11,t:10,i:804},
D{l:12,t:10,i:85},
D{l:12,t:10,i:516},
D{l:12,t:10,i:623},
D{l:12,t:11,i:677},
D{l:13,t:10,i:361},
D{l:14,t:10,i:77},
D{l:14,t:10,i:78},
D{l:147,t:10,i:110},
D{l:4,t:0,i:792},
D{l:7,t:0,i:1717},
D{l:10,t:0,i:546},
D{l:132,t:10,i:769},
D{l:4,t:11,i:684},
D{l:136,t:11,i:384},
D{l:132,t:10,i:551},
D{l:134,t:0,i:1203},
D{l:9,t:10,i:57},
D{l:9,t:10,i:459},
D{l:10,t:10,i:425},
D{l:11,t:10,i:119},
D{l:12,t:10,i:184},
D{l:12,t:10,i:371},
D{l:13,t:10,i:358},
D{l:145,t:10,i:51},
D{l:5,t:0,i:672},
D{l:5,t:10,i:814},
D{l:8,t:10,i:10},
D{l:9,t:10,i:421},
D{l:9,t:10,i:729},
D{l:10,t:10,i:609},
D{l:139,t:10,i:689},
D{l:138,t:0,i:189},
D{l:134,t:10,i:624},
D{l:7,t:11,i:110},
D{l:7,t:11,i:188},
D{l:8,t:11,i:290},
D{l:8,t:11,i:591},
D{l:9,t:11,i:382},
D{l:9,t:11,i:649},
D{l:11,t:11,i:71},
D{l:11,t:11,i:155},
D{l:11,t:11,i:313},
D{l:12,t:11,i:5},
D{l:13,t:11,i:325},
D{l:142,t:11,i:287},
D{l:133,t:0,i:99},
D{l:6,t:0,i:1053},
D{l:135,t:0,i:298},
D{l:7,t:11,i:360},
D{l:7,t:11,i:425},
D{l:9,t:11,i:66},
D{l:9,t:11,i:278},
D{l:138,t:11,i:644},
D{l:4,t:0,i:397},
D{l:136,t:0,i:555},
D{l:137,t:10,i:269},
D{l:132,t:10,i:528},
D{l:4,t:11,i:900},
D{l:133,t:11,i:861},
D{l:6,t:0,i:1157},
D{l:5,t:11,i:254},
D{l:7,t:11,i:985},
D{l:136,t:11,i:73},
D{l:7,t:11,i:1959},
D{l:136,t:11,i:683},
D{l:12,t:0,i:398},
D{l:20,t:0,i:39},
D{l:21,t:0,i:11},
D{l:150,t:0,i:41},
D{l:4,t:0,i:485},
D{l:7,t:0,i:353},
D{l:135,t:0,i:1523},
D{l:6,t:0,i:366},
D{l:7,t:0,i:1384},
D{l:135,t:0,i:1601},
D{l:138,t:0,i:787},
D{l:137,t:0,i:282},
D{l:5,t:10,i:104},
D{l:6,t:10,i:173},
D{l:135,t:10,i:1631},
D{l:139,t:11,i:146},
D{l:4,t:0,i:157},
D{l:133,t:0,i:471},
D{l:134,t:0,i:941},
D{l:132,t:11,i:725},
D{l:7,t:0,i:1336},
D{l:8,t:10,i:138},
D{l:8,t:10,i:342},
D{l:9,t:10,i:84},
D{l:10,t:10,i:193},
D{l:11,t:10,i:883},
D{l:140,t:10,i:359},
D{l:134,t:11,i:196},
D{l:136,t:0,i:116},
D{l:133,t:11,i:831},
D{l:134,t:0,i:787},
D{l:134,t:10,i:95},
D{l:6,t:10,i:406},
D{l:10,t:10,i:409},
D{l:10,t:10,i:447},
D{l:11,t:10,i:44},
D{l:140,t:10,i:100},
D{l:5,t:0,i:160},
D{l:7,t:0,i:363},
D{l:7,t:0,i:589},
D{l:10,t:0,i:170},
D{l:141,t:0,i:55},
D{l:134,t:0,i:1815},
D{l:132,t:0,i:866},
D{l:6,t:0,i:889},
D{l:6,t:0,i:1067},
D{l:6,t:0,i:1183},
D{l:4,t:11,i:321},
D{l:134,t:11,i:569},
D{l:5,t:11,i:848},
D{l:134,t:11,i:66},
D{l:4,t:11,i:36},
D{l:6,t:10,i:1636},
D{l:7,t:11,i:1387},
D{l:10,t:11,i:205},
D{l:11,t:11,i:755},
D{l:141,t:11,i:271},
D{l:132,t:0,i:689},
D{l:9,t:0,i:820},
D{l:4,t:10,i:282},
D{l:7,t:10,i:1034},
D{l:11,t:10,i:398},
D{l:11,t:10,i:634},
D{l:12,t:10,i:1},
D{l:12,t:10,i:79},
D{l:12,t:10,i:544},
D{l:14,t:10,i:237},
D{l:17,t:10,i:10},
D{l:146,t:10,i:20},
D{l:4,t:0,i:108},
D{l:7,t:0,i:804},
D{l:139,t:0,i:498},
D{l:132,t:11,i:887},
D{l:6,t:0,i:1119},
D{l:135,t:11,i:620},
D{l:6,t:11,i:165},
D{l:138,t:11,i:388},
D{l:5,t:0,i:244},
D{l:5,t:10,i:499},
D{l:6,t:10,i:476},
D{l:7,t:10,i:600},
D{l:7,t:10,i:888},
D{l:135,t:10,i:1096},
D{l:140,t:0,i:609},
D{l:135,t:0,i:1005},
D{l:4,t:0,i:412},
D{l:133,t:0,i:581},
D{l:4,t:11,i:719},
D{l:135,t:11,i:155},
D{l:7,t:10,i:296},
D{l:7,t:10,i:596},
D{l:8,t:10,i:560},
D{l:8,t:10,i:586},
D{l:9,t:10,i:612},
D{l:11,t:10,i:304},
D{l:12,t:10,i:46},
D{l:13,t:10,i:89},
D{l:14,t:10,i:112},
D{l:145,t:10,i:122},
D{l:4,t:0,i:895},
D{l:133,t:0,i:772},
D{l:142,t:11,i:307},
D{l:135,t:0,i:1898},
D{l:4,t:0,i:926},
D{l:133,t:0,i:983},
D{l:4,t:11,i:353},
D{l:6,t:11,i:146},
D{l:6,t:11,i:1789},
D{l:7,t:11,i:288},
D{l:7,t:11,i:990},
D{l:7,t:11,i:1348},
D{l:9,t:11,i:665},
D{l:9,t:11,i:898},
D{l:11,t:11,i:893},
D{l:142,t:11,i:212},
D{l:132,t:0,i:538},
D{l:133,t:11,i:532},
D{l:6,t:0,i:294},
D{l:7,t:0,i:1267},
D{l:8,t:0,i:624},
D{l:141,t:0,i:496},
D{l:7,t:0,i:1325},
D{l:4,t:11,i:45},
D{l:135,t:11,i:1257},
D{l:138,t:0,i:301},
D{l:9,t:0,i:298},
D{l:12,t:0,i:291},
D{l:13,t:0,i:276},
D{l:14,t:0,i:6},
D{l:17,t:0,i:18},
D{l:21,t:0,i:32},
D{l:7,t:10,i:1599},
D{l:7,t:10,i:1723},
D{l:8,t:10,i:79},
D{l:8,t:10,i:106},
D{l:8,t:10,i:190},
D{l:8,t:10,i:302},
D{l:8,t:10,i:383},
D{l:8,t:10,i:713},
D{l:9,t:10,i:119},
D{l:9,t:10,i:233},
D{l:9,t:10,i:419},
D{l:9,t:10,i:471},
D{l:10,t:10,i:181},
D{l:10,t:10,i:406},
D{l:11,t:10,i:57},
D{l:11,t:10,i:85},
D{l:11,t:10,i:120},
D{l:11,t:10,i:177},
D{l:11,t:10,i:296},
D{l:11,t:10,i:382},
D{l:11,t:10,i:454},
D{l:11,t:10,i:758},
D{l:11,t:10,i:999},
D{l:12,t:10,i:27},
D{l:12,t:10,i:131},
D{l:12,t:10,i:245},
D{l:12,t:10,i:312},
D{l:12,t:10,i:446},
D{l:12,t:10,i:454},
D{l:13,t:10,i:98},
D{l:13,t:10,i:426},
D{l:13,t:10,i:508},
D{l:14,t:10,i:163},
D{l:14,t:10,i:272},
D{l:14,t:10,i:277},
D{l:14,t:10,i:370},
D{l:15,t:10,i:95},
D{l:15,t:10,i:138},
D{l:15,t:10,i:167},
D{l:17,t:10,i:38},
D{l:148,t:10,i:96},
D{l:132,t:0,i:757},
D{l:134,t:0,i:1263},
D{l:4,t:0,i:820},
D{l:134,t:10,i:1759},
D{l:133,t:0,i:722},
D{l:136,t:11,i:816},
D{l:138,t:10,i:372},
D{l:145,t:10,i:16},
D{l:134,t:0,i:1039},
D{l:4,t:0,i:991},
D{l:134,t:0,i:2028},
D{l:133,t:10,i:258},
D{l:7,t:0,i:1875},
D{l:139,t:0,i:124},
D{l:6,t:11,i:559},
D{l:6,t:11,i:1691},
D{l:135,t:11,i:586},
D{l:5,t:0,i:324},
D{l:7,t:0,i:881},
D{l:8,t:10,i:134},
D{l:9,t:10,i:788},
D{l:140,t:10,i:438},
D{l:7,t:11,i:1823},
D{l:139,t:11,i:693},
D{l:6,t:0,i:1348},
D{l:134,t:0,i:1545},
D{l:134,t:0,i:911},
D{l:132,t:0,i:954},
D{l:8,t:0,i:329},
D{l:8,t:0,i:414},
D{l:7,t:10,i:1948},
D{l:135,t:10,i:2004},
D{l:5,t:0,i:517},
D{l:6,t:10,i:439},
D{l:7,t:10,i:780},
D{l:135,t:10,i:1040},
D{l:132,t:0,i:816},
D{l:5,t:10,i:1},
D{l:6,t:10,i:81},
D{l:138,t:10,i:520},
D{l:9,t:0,i:713},
D{l:10,t:0,i:222},
D{l:5,t:10,i:482},
D{l:8,t:10,i:98},
D{l:10,t:10,i:700},
D{l:10,t:10,i:822},
D{l:11,t:10,i:302},
D{l:11,t:10,i:778},
D{l:12,t:10,i:50},
D{l:12,t:10,i:127},
D{l:12,t:10,i:396},
D{l:13,t:10,i:62},
D{l:13,t:10,i:328},
D{l:14,t:10,i:122},
D{l:147,t:10,i:72},
D{l:137,t:0,i:33},
D{l:5,t:10,i:2},
D{l:7,t:10,i:1494},
D{l:136,t:10,i:589},
D{l:6,t:10,i:512},
D{l:7,t:10,i:797},
D{l:8,t:10,i:253},
D{l:9,t:10,i:77},
D{l:10,t:10,i:1},
D{l:10,t:11,i:108},
D{l:10,t:10,i:129},
D{l:10,t:10,i:225},
D{l:11,t:11,i:116},
D{l:11,t:10,i:118},
D{l:11,t:10,i:226},
D{l:11,t:10,i:251},
D{l:11,t:10,i:430},
D{l:11,t:10,i:701},
D{l:11,t:10,i:974},
D{l:11,t:10,i:982},
D{l:12,t:10,i:64},
D{l:12,t:10,i:260},
D{l:12,t:10,i:488},
D{l:140,t:10,i:690},
D{l:134,t:11,i:456},
D{l:133,t:11,i:925},
D{l:5,t:0,i:150},
D{l:7,t:0,i:106},
D{l:7,t:0,i:774},
D{l:8,t:0,i:603},
D{l:9,t:0,i:593},
D{l:9,t:0,i:634},
D{l:10,t:0,i:44},
D{l:10,t:0,i:173},
D{l:11,t:0,i:462},
D{l:11,t:0,i:515},
D{l:13,t:0,i:216},
D{l:13,t:0,i:288},
D{l:142,t:0,i:400},
D{l:137,t:10,i:347},
D{l:5,t:0,i:748},
D{l:134,t:0,i:553},
D{l:12,t:0,i:108},
D{l:141,t:0,i:291},
D{l:7,t:0,i:420},
D{l:4,t:10,i:12},
D{l:7,t:10,i:522},
D{l:7,t:10,i:809},
D{l:8,t:10,i:797},
D{l:141,t:10,i:88},
D{l:6,t:11,i:193},
D{l:7,t:11,i:240},
D{l:7,t:11,i:1682},
D{l:10,t:11,i:51},
D{l:10,t:11,i:640},
D{l:11,t:11,i:410},
D{l:13,t:11,i:82},
D{l:14,t:11,i:247},
D{l:14,t:11,i:331},
D{l:142,t:11,i:377},
D{l:133,t:10,i:528},
D{l:135,t:0,i:1777},
D{l:4,t:0,i:493},
D{l:144,t:0,i:55},
D{l:136,t:11,i:633},
D{l:139,t:0,i:81},
D{l:6,t:0,i:980},
D{l:136,t:0,i:321},
D{l:148,t:10,i:109},
D{l:5,t:10,i:266},
D{l:9,t:10,i:290},
D{l:9,t:10,i:364},
D{l:10,t:10,i:293},
D{l:11,t:10,i:606},
D{l:142,t:10,i:45},
D{l:6,t:0,i:568},
D{l:7,t:0,i:112},
D{l:7,t:0,i:1804},
D{l:8,t:0,i:362},
D{l:8,t:0,i:410},
D{l:8,t:0,i:830},
D{l:9,t:0,i:514},
D{l:11,t:0,i:649},
D{l:142,t:0,i:157},
D{l:4,t:0,i:74},
D{l:6,t:0,i:510},
D{l:6,t:10,i:594},
D{l:9,t:10,i:121},
D{l:10,t:10,i:49},
D{l:10,t:10,i:412},
D{l:139,t:10,i:834},
D{l:134,t:0,i:838},
D{l:136,t:10,i:748},
D{l:132,t:10,i:466},
D{l:132,t:0,i:625},
D{l:135,t:11,i:1443},
D{l:4,t:11,i:237},
D{l:135,t:11,i:514},
D{l:9,t:10,i:378},
D{l:141,t:10,i:162},
D{l:6,t:0,i:16},
D{l:6,t:0,i:158},
D{l:7,t:0,i:43},
D{l:7,t:0,i:129},
D{l:7,t:0,i:181},
D{l:8,t:0,i:276},
D{l:8,t:0,i:377},
D{l:10,t:0,i:523},
D{l:11,t:0,i:816},
D{l:12,t:0,i:455},
D{l:13,t:0,i:303},
D{l:142,t:0,i:135},
D{l:135,t:0,i:281},
D{l:4,t:0,i:1},
D{l:7,t:0,i:1143},
D{l:7,t:0,i:1463},
D{l:8,t:0,i:61},
D{l:9,t:0,i:207},
D{l:9,t:0,i:390},
D{l:9,t:0,i:467},
D{l:139,t:0,i:836},
D{l:6,t:11,i:392},
D{l:7,t:11,i:65},
D{l:135,t:11,i:2019},
D{l:132,t:10,i:667},
D{l:4,t:0,i:723},
D{l:5,t:0,i:895},
D{l:7,t:0,i:1031},
D{l:8,t:0,i:199},
D{l:8,t:0,i:340},
D{l:9,t:0,i:153},
D{l:9,t:0,i:215},
D{l:10,t:0,i:21},
D{l:10,t:0,i:59},
D{l:10,t:0,i:80},
D{l:10,t:0,i:224},
D{l:10,t:0,i:838},
D{l:11,t:0,i:229},
D{l:11,t:0,i:652},
D{l:12,t:0,i:192},
D{l:13,t:0,i:146},
D{l:142,t:0,i:91},
D{l:132,t:0,i:295},
D{l:137,t:0,i:51},
D{l:9,t:11,i:222},
D{l:10,t:11,i:43},
D{l:139,t:11,i:900},
D{l:5,t:0,i:309},
D{l:140,t:0,i:211},
D{l:5,t:0,i:125},
D{l:8,t:0,i:77},
D{l:138,t:0,i:15},
D{l:136,t:11,i:604},
D{l:138,t:0,i:789},
D{l:5,t:0,i:173},
D{l:4,t:10,i:39},
D{l:7,t:10,i:1843},
D{l:8,t:10,i:407},
D{l:11,t:10,i:144},
D{l:140,t:10,i:523},
D{l:138,t:11,i:265},
D{l:133,t:0,i:439},
D{l:132,t:10,i:510},
D{l:7,t:0,i:648},
D{l:7,t:0,i:874},
D{l:11,t:0,i:164},
D{l:12,t:0,i:76},
D{l:18,t:0,i:9},
D{l:7,t:10,i:1980},
D{l:10,t:10,i:487},
D{l:138,t:10,i:809},
D{l:12,t:0,i:111},
D{l:14,t:0,i:294},
D{l:19,t:0,i:45},
D{l:13,t:10,i:260},
D{l:146,t:10,i:63},
D{l:133,t:11,i:549},
D{l:134,t:10,i:570},
D{l:4,t:0,i:8},
D{l:7,t:0,i:1152},
D{l:7,t:0,i:1153},
D{l:7,t:0,i:1715},
D{l:9,t:0,i:374},
D{l:10,t:0,i:478},
D{l:139,t:0,i:648},
D{l:135,t:0,i:1099},
D{l:5,t:0,i:575},
D{l:6,t:0,i:354},
D{l:135,t:0,i:701},
D{l:7,t:11,i:36},
D{l:8,t:11,i:201},
D{l:136,t:11,i:605},
D{l:4,t:10,i:787},
D{l:136,t:11,i:156},
D{l:6,t:0,i:518},
D{l:149,t:11,i:13},
D{l:140,t:11,i:224},
D{l:134,t:0,i:702},
D{l:132,t:10,i:516},
D{l:5,t:11,i:724},
D{l:10,t:11,i:305},
D{l:11,t:11,i:151},
D{l:12,t:11,i:33},
D{l:12,t:11,i:121},
D{l:12,t:11,i:381},
D{l:17,t:11,i:3},
D{l:17,t:11,i:27},
D{l:17,t:11,i:78},
D{l:18,t:11,i:18},
D{l:19,t:11,i:54},
D{l:149,t:11,i:5},
D{l:8,t:0,i:87},
D{l:4,t:11,i:523},
D{l:5,t:11,i:638},
D{l:11,t:10,i:887},
D{l:14,t:10,i:365},
D{l:142,t:10,i:375},
D{l:138,t:0,i:438},
D{l:136,t:10,i:821},
D{l:135,t:11,i:1908},
D{l:6,t:11,i:242},
D{l:7,t:11,i:227},
D{l:7,t:11,i:1581},
D{l:8,t:11,i:104},
D{l:9,t:11,i:113},
D{l:9,t:11,i:220},
D{l:9,t:11,i:427},
D{l:10,t:11,i:74},
D{l:10,t:11,i:239},
D{l:11,t:11,i:579},
D{l:11,t:11,i:1023},
D{l:13,t:11,i:4},
D{l:13,t:11,i:204},
D{l:13,t:11,i:316},
D{l:18,t:11,i:95},
D{l:148,t:11,i:86},
D{l:4,t:0,i:69},
D{l:5,t:0,i:122},
D{l:5,t:0,i:849},
D{l:6,t:0,i:1633},
D{l:9,t:0,i:656},
D{l:138,t:0,i:464},
D{l:7,t:0,i:1802},
D{l:4,t:10,i:10},
D{l:139,t:10,i:786},
D{l:135,t:11,i:861},
D{l:139,t:0,i:499},
D{l:7,t:0,i:476},
D{l:7,t:0,i:1592},
D{l:138,t:0,i:87},
D{l:133,t:10,i:684},
D{l:4,t:0,i:840},
D{l:134,t:10,i:27},
D{l:142,t:0,i:283},
D{l:6,t:0,i:1620},
D{l:7,t:11,i:1328},
D{l:136,t:11,i:494},
D{l:5,t:0,i:859},
D{l:7,t:0,i:1160},
D{l:8,t:0,i:107},
D{l:9,t:0,i:291},
D{l:9,t:0,i:439},
D{l:10,t:0,i:663},
D{l:11,t:0,i:609},
D{l:140,t:0,i:197},
D{l:7,t:11,i:1306},
D{l:8,t:11,i:505},
D{l:9,t:11,i:482},
D{l:10,t:11,i:126},
D{l:11,t:11,i:225},
D{l:12,t:11,i:347},
D{l:12,t:11,i:449},
D{l:13,t:11,i:19},
D{l:142,t:11,i:218},
D{l:5,t:11,i:268},
D{l:10,t:11,i:764},
D{l:12,t:11,i:120},
D{l:13,t:11,i:39},
D{l:145,t:11,i:127},
D{l:145,t:10,i:56},
D{l:7,t:11,i:1672},
D{l:10,t:11,i:472},
D{l:11,t:11,i:189},
D{l:143,t:11,i:51},
D{l:6,t:10,i:342},
D{l:6,t:10,i:496},
D{l:8,t:10,i:275},
D{l:137,t:10,i:206},
D{l:133,t:0,i:600},
D{l:4,t:0,i:117},
D{l:6,t:0,i:372},
D{l:7,t:0,i:1905},
D{l:142,t:0,i:323},
D{l:4,t:10,i:909},
D{l:5,t:10,i:940},
D{l:135,t:11,i:1471},
D{l:132,t:10,i:891},
D{l:4,t:0,i:722},
D{l:139,t:0,i:471},
D{l:4,t:11,i:384},
D{l:135,t:11,i:1022},
D{l:132,t:10,i:687},
D{l:9,t:0,i:5},
D{l:12,t:0,i:216},
D{l:12,t:0,i:294},
D{l:12,t:0,i:298},
D{l:12,t:0,i:400},
D{l:12,t:0,i:518},
D{l:13,t:0,i:229},
D{l:143,t:0,i:139},
D{l:135,t:11,i:1703},
D{l:7,t:11,i:1602},
D{l:10,t:11,i:698},
D{l:12,t:11,i:212},
D{l:141,t:11,i:307},
D{l:6,t:10,i:41},
D{l:141,t:10,i:160},
D{l:135,t:11,i:1077},
D{l:9,t:11,i:159},
D{l:11,t:11,i:28},
D{l:140,t:11,i:603},
D{l:4,t:0,i:514},
D{l:7,t:0,i:1304},
D{l:138,t:0,i:477},
D{l:134,t:0,i:1774},
D{l:9,t:0,i:88},
D{l:139,t:0,i:270},
D{l:5,t:0,i:12},
D{l:7,t:0,i:375},
D{l:9,t:0,i:438},
D{l:134,t:10,i:1718},
D{l:132,t:11,i:515},
D{l:136,t:10,i:778},
D{l:8,t:11,i:632},
D{l:8,t:11,i:697},
D{l:137,t:11,i:854},
D{l:6,t:0,i:362},
D{l:6,t:0,i:997},
D{l:146,t:0,i:51},
D{l:7,t:0,i:816},
D{l:7,t:0,i:1241},
D{l:9,t:0,i:283},
D{l:9,t:0,i:520},
D{l:10,t:0,i:213},
D{l:10,t:0,i:307},
D{l:10,t:0,i:463},
D{l:10,t:0,i:671},
D{l:10,t:0,i:746},
D{l:11,t:0,i:401},
D{l:11,t:0,i:794},
D{l:12,t:0,i:517},
D{l:18,t:0,i:107},
D{l:147,t:0,i:115},
D{l:133,t:10,i:115},
D{l:150,t:11,i:28},
D{l:4,t:11,i:136},
D{l:133,t:11,i:551},
D{l:142,t:10,i:314},
D{l:132,t:0,i:258},
D{l:6,t:0,i:22},
D{l:7,t:0,i:903},
D{l:7,t:0,i:1963},
D{l:8,t:0,i:639},
D{l:138,t:0,i:577},
D{l:5,t:0,i:681},
D{l:8,t:0,i:782},
D{l:13,t:0,i:130},
D{l:17,t:0,i:84},
D{l:5,t:10,i:193},
D{l:140,t:10,i:178},
D{l:9,t:11,i:17},
D{l:138,t:11,i:291},
D{l:7,t:11,i:1287},
D{l:9,t:11,i:44},
D{l:10,t:11,i:552},
D{l:10,t:11,i:642},
D{l:11,t:11,i:839},
D{l:12,t:11,i:274},
D{l:12,t:11,i:275},
D{l:12,t:11,i:372},
D{l:13,t:11,i:91},
D{l:142,t:11,i:125},
D{l:135,t:10,i:174},
D{l:4,t:0,i:664},
D{l:5,t:0,i:804},
D{l:139,t:0,i:1013},
D{l:134,t:0,i:942},
D{l:6,t:0,i:1349},
D{l:6,t:0,i:1353},
D{l:6,t:0,i:1450},
D{l:7,t:11,i:1518},
D{l:139,t:11,i:694},
D{l:11,t:0,i:356},
D{l:4,t:10,i:122},
D{l:5,t:10,i:796},
D{l:5,t:10,i:952},
D{l:6,t:10,i:1660},
D{l:6,t:10,i:1671},
D{l:8,t:10,i:567},
D{l:9,t:10,i:687},
D{l:9,t:10,i:742},
D{l:10,t:10,i:686},
D{l:11,t:10,i:682},
D{l:140,t:10,i:281},
D{l:5,t:0,i:32},
D{l:6,t:11,i:147},
D{l:7,t:11,i:886},
D{l:9,t:11,i:753},
D{l:138,t:11,i:268},
D{l:5,t:10,i:179},
D{l:7,t:10,i:1095},
D{l:135,t:10,i:1213},
D{l:4,t:10,i:66},
D{l:7,t:10,i:722},
D{l:135,t:10,i:904},
D{l:135,t:10,i:352},
D{l:9,t:11,i:245},
D{l:138,t:11,i:137},
D{l:4,t:0,i:289},
D{l:7,t:0,i:629},
D{l:7,t:0,i:1698},
D{l:7,t:0,i:1711},
D{l:12,t:0,i:215},
D{l:133,t:11,i:414},
D{l:6,t:0,i:1975},
D{l:135,t:11,i:1762},
D{l:6,t:0,i:450},
D{l:136,t:0,i:109},
D{l:141,t:10,i:35},
D{l:134,t:11,i:599},
D{l:136,t:0,i:705},
D{l:133,t:0,i:664},
D{l:134,t:11,i:1749},
D{l:11,t:11,i:402},
D{l:12,t:11,i:109},
D{l:12,t:11,i:431},
D{l:13,t:11,i:179},
D{l:13,t:11,i:206},
D{l:14,t:11,i:175},
D{l:14,t:11,i:217},
D{l:16,t:11,i:3},
D{l:148,t:11,i:53},
D{l:135,t:0,i:1238},
D{l:134,t:11,i:1627},
D{l:132,t:11,i:488},
D{l:13,t:0,i:318},
D{l:10,t:10,i:592},
D{l:10,t:10,i:753},
D{l:12,t:10,i:317},
D{l:12,t:10,i:355},
D{l:12,t:10,i:465},
D{l:12,t:10,i:469},
D{l:12,t:10,i:560},
D{l:140,t:10,i:578},
D{l:133,t:10,i:564},
D{l:132,t:11,i:83},
D{l:140,t:11,i:676},
D{l:6,t:0,i:1872},
D{l:6,t:0,i:1906},
D{l:6,t:0,i:1907},
D{l:9,t:0,i:934},
D{l:9,t:0,i:956},
D{l:9,t:0,i:960},
D{l:9,t:0,i:996},
D{l:12,t:0,i:794},
D{l:12,t:0,i:876},
D{l:12,t:0,i:880},
D{l:12,t:0,i:918},
D{l:15,t:0,i:230},
D{l:18,t:0,i:234},
D{l:18,t:0,i:238},
D{l:21,t:0,i:38},
D{l:149,t:0,i:62},
D{l:134,t:10,i:556},
D{l:134,t:11,i:278},
D{l:137,t:0,i:103},
D{l:7,t:10,i:544},
D{l:8,t:10,i:719},
D{l:138,t:10,i:61},
D{l:4,t:10,i:5},
D{l:5,t:10,i:498},
D{l:8,t:10,i:637},
D{l:137,t:10,i:521},
D{l:7,t:0,i:777},
D{l:12,t:0,i:229},
D{l:12,t:0,i:239},
D{l:15,t:0,i:12},
D{l:12,t:11,i:229},
D{l:12,t:11,i:239},
D{l:143,t:11,i:12},
D{l:6,t:0,i:26},
D{l:7,t:11,i:388},
D{l:7,t:11,i:644},
D{l:139,t:11,i:781},
D{l:7,t:11,i:229},
D{l:8,t:11,i:59},
D{l:9,t:11,i:190},
D{l:9,t:11,i:257},
D{l:10,t:11,i:378},
D{l:140,t:11,i:191},
D{l:133,t:10,i:927},
D{l:135,t:10,i:1441},
D{l:4,t:10,i:893},
D{l:5,t:10,i:780},
D{l:133,t:10,i:893},
D{l:4,t:0,i:414},
D{l:5,t:0,i:467},
D{l:9,t:0,i:654},
D{l:10,t:0,i:451},
D{l:12,t:0,i:59},
D{l:141,t:0,i:375},
D{l:142,t:0,i:173},
D{l:135,t:0,i:17},
D{l:7,t:0,i:1350},
D{l:133,t:10,i:238},
D{l:135,t:0,i:955},
D{l:4,t:0,i:960},
D{l:10,t:0,i:887},
D{l:12,t:0,i:753},
D{l:18,t:0,i:161},
D{l:18,t:0,i:162},
D{l:152,t:0,i:19},
D{l:136,t:11,i:344},
D{l:6,t:10,i:1729},
D{l:137,t:11,i:288},
D{l:132,t:11,i:660},
D{l:4,t:0,i:217},
D{l:5,t:0,i:710},
D{l:7,t:0,i:760},
D{l:7,t:0,i:1926},
D{l:9,t:0,i:428},
D{l:9,t:0,i:708},
D{l:10,t:0,i:254},
D{l:10,t:0,i:296},
D{l:10,t:0,i:720},
D{l:11,t:0,i:109},
D{l:11,t:0,i:255},
D{l:12,t:0,i:165},
D{l:12,t:0,i:315},
D{l:13,t:0,i:107},
D{l:13,t:0,i:203},
D{l:14,t:0,i:54},
D{l:14,t:0,i:99},
D{l:14,t:0,i:114},
D{l:14,t:0,i:388},
D{l:16,t:0,i:85},
D{l:17,t:0,i:9},
D{l:17,t:0,i:33},
D{l:20,t:0,i:25},
D{l:20,t:0,i:28},
D{l:20,t:0,i:29},
D{l:21,t:0,i:9},
D{l:21,t:0,i:10},
D{l:21,t:0,i:34},
D{l:22,t:0,i:17},
D{l:4,t:10,i:60},
D{l:7,t:10,i:1800},
D{l:8,t:10,i:314},
D{l:9,t:10,i:700},
D{l:139,t:10,i:487},
D{l:7,t:11,i:1035},
D{l:138,t:11,i:737},
D{l:7,t:11,i:690},
D{l:9,t:11,i:217},
D{l:9,t:11,i:587},
D{l:140,t:11,i:521},
D{l:6,t:0,i:919},
D{l:7,t:11,i:706},
D{l:7,t:11,i:1058},
D{l:138,t:11,i:538},
D{l:7,t:10,i:1853},
D{l:138,t:10,i:437},
D{l:136,t:10,i:419},
D{l:6,t:0,i:280},
D{l:10,t:0,i:502},
D{l:11,t:0,i:344},
D{l:140,t:0,i:38},
D{l:5,t:0,i:45},
D{l:7,t:0,i:1161},
D{l:11,t:0,i:448},
D{l:11,t:0,i:880},
D{l:13,t:0,i:139},
D{l:13,t:0,i:407},
D{l:15,t:0,i:16},
D{l:17,t:0,i:95},
D{l:18,t:0,i:66},
D{l:18,t:0,i:88},
D{l:18,t:0,i:123},
D{l:149,t:0,i:7},
D{l:11,t:11,i:92},
D{l:11,t:11,i:196},
D{l:11,t:11,i:409},
D{l:11,t:11,i:450},
D{l:11,t:11,i:666},
D{l:11,t:11,i:777},
D{l:12,t:11,i:262},
D{l:13,t:11,i:385},
D{l:13,t:11,i:393},
D{l:15,t:11,i:115},
D{l:16,t:11,i:45},
D{l:145,t:11,i:82},
D{l:136,t:0,i:777},
D{l:134,t:11,i:1744},
D{l:4,t:0,i:410},
D{l:7,t:0,i:521},
D{l:133,t:10,i:828},
D{l:134,t:0,i:673},
D{l:7,t:0,i:1110},
D{l:7,t:0,i:1778},
D{l:7,t:10,i:176},
D{l:135,t:10,i:178},
D{l:5,t:10,i:806},
D{l:7,t:11,i:268},
D{l:7,t:10,i:1976},
D{l:136,t:11,i:569},
D{l:4,t:11,i:733},
D{l:9,t:11,i:194},
D{l:10,t:11,i:92},
D{l:11,t:11,i:198},
D{l:12,t:11,i:84},
D{l:12,t:11,i:87},
D{l:13,t:11,i:128},
D{l:144,t:11,i:74},
D{l:5,t:0,i:341},
D{l:7,t:0,i:1129},
D{l:11,t:0,i:414},
D{l:4,t:10,i:51},
D{l:6,t:10,i:4},
D{l:7,t:10,i:591},
D{l:7,t:10,i:849},
D{l:7,t:10,i:951},
D{l:7,t:10,i:1613},
D{l:7,t:10,i:1760},
D{l:7,t:10,i:1988},
D{l:9,t:10,i:434},
D{l:10,t:10,i:754},
D{l:11,t:10,i:25},
D{l:139,t:10,i:37},
D{l:133,t:10,i:902},
D{l:135,t:10,i:928},
D{l:135,t:0,i:787},
D{l:132,t:0,i:436},
D{l:134,t:10,i:270},
D{l:7,t:0,i:1587},
D{l:135,t:0,i:1707},
D{l:6,t:0,i:377},
D{l:7,t:0,i:1025},
D{l:9,t:0,i:613},
D{l:145,t:0,i:104},
D{l:7,t:11,i:982},
D{l:7,t:11,i:1361},
D{l:10,t:11,i:32},
D{l:143,t:11,i:56},
D{l:139,t:0,i:96},
D{l:132,t:0,i:451},
D{l:132,t:10,i:416},
D{l:142,t:10,i:372},
D{l:5,t:10,i:152},
D{l:5,t:10,i:197},
D{l:7,t:11,i:306},
D{l:7,t:10,i:340},
D{l:7,t:10,i:867},
D{l:10,t:10,i:548},
D{l:10,t:10,i:581},
D{l:11,t:10,i:6},
D{l:12,t:10,i:3},
D{l:12,t:10,i:19},
D{l:14,t:10,i:110},
D{l:142,t:10,i:289},
D{l:134,t:0,i:680},
D{l:134,t:11,i:609},
D{l:7,t:0,i:483},
D{l:7,t:10,i:190},
D{l:8,t:10,i:28},
D{l:8,t:10,i:141},
D{l:8,t:10,i:444},
D{l:8,t:10,i:811},
D{l:9,t:10,i:468},
D{l:11,t:10,i:334},
D{l:12,t:10,i:24},
D{l:12,t:10,i:386},
D{l:140,t:10,i:576},
D{l:10,t:0,i:916},
D{l:133,t:10,i:757},
D{l:5,t:10,i:721},
D{l:135,t:10,i:1553},
D{l:133,t:11,i:178},
D{l:134,t:0,i:937},
D{l:132,t:10,i:898},
D{l:133,t:0,i:739},
D{l:147,t:0,i:82},
D{l:135,t:0,i:663},
D{l:146,t:0,i:128},
D{l:5,t:10,i:277},
D{l:141,t:10,i:247},
D{l:134,t:0,i:1087},
D{l:132,t:10,i:435},
D{l:6,t:11,i:381},
D{l:7,t:11,i:645},
D{l:7,t:11,i:694},
D{l:136,t:11,i:546},
D{l:7,t:0,i:503},
D{l:135,t:0,i:1885},
D{l:6,t:0,i:1965},
D{l:8,t:0,i:925},
D{l:138,t:0,i:955},
D{l:4,t:0,i:113},
D{l:5,t:0,i:163},
D{l:5,t:0,i:735},
D{l:7,t:0,i:1009},
D{l:9,t:0,i:9},
D{l:9,t:0,i:771},
D{l:12,t:0,i:90},
D{l:13,t:0,i:138},
D{l:13,t:0,i:410},
D{l:143,t:0,i:128},
D{l:4,t:0,i:324},
D{l:138,t:0,i:104},
D{l:7,t:0,i:460},
D{l:5,t:10,i:265},
D{l:134,t:10,i:212},
D{l:133,t:11,i:105},
D{l:7,t:11,i:261},
D{l:7,t:11,i:1107},
D{l:7,t:11,i:1115},
D{l:7,t:11,i:1354},
D{l:7,t:11,i:1588},
D{l:7,t:11,i:1705},
D{l:7,t:11,i:1902},
D{l:9,t:11,i:465},
D{l:10,t:11,i:248},
D{l:10,t:11,i:349},
D{l:10,t:11,i:647},
D{l:11,t:11,i:527},
D{l:11,t:11,i:660},
D{l:11,t:11,i:669},
D{l:12,t:11,i:529},
D{l:141,t:11,i:305},
D{l:5,t:11,i:438},
D{l:9,t:11,i:694},
D{l:12,t:11,i:627},
D{l:141,t:11,i:210},
D{l:152,t:11,i:11},
D{l:4,t:0,i:935},
D{l:133,t:0,i:823},
D{l:132,t:10,i:702},
D{l:5,t:0,i:269},
D{l:7,t:0,i:434},
D{l:7,t:0,i:891},
D{l:8,t:0,i:339},
D{l:9,t:0,i:702},
D{l:11,t:0,i:594},
D{l:11,t:0,i:718},
D{l:17,t:0,i:100},
D{l:5,t:10,i:808},
D{l:135,t:10,i:2045},
D{l:7,t:0,i:1014},
D{l:9,t:0,i:485},
D{l:141,t:0,i:264},
D{l:134,t:0,i:1713},
D{l:7,t:0,i:1810},
D{l:11,t:0,i:866},
D{l:12,t:0,i:103},
D{l:13,t:0,i:495},
D{l:140,t:11,i:233},
D{l:4,t:0,i:423},
D{l:10,t:0,i:949},
D{l:138,t:0,i:1013},
D{l:135,t:0,i:900},
D{l:8,t:11,i:25},
D{l:138,t:11,i:826},
D{l:5,t:10,i:166},
D{l:8,t:10,i:739},
D{l:140,t:10,i:511},
D{l:134,t:0,i:2018},
D{l:7,t:11,i:1270},
D{l:139,t:11,i:612},
D{l:4,t:10,i:119},
D{l:5,t:10,i:170},
D{l:5,t:10,i:447},
D{l:7,t:10,i:1708},
D{l:7,t:10,i:1889},
D{l:9,t:10,i:357},
D{l:9,t:10,i:719},
D{l:12,t:10,i:486},
D{l:140,t:10,i:596},
D{l:12,t:0,i:574},
D{l:140,t:11,i:574},
D{l:132,t:11,i:308},
D{l:6,t:0,i:964},
D{l:6,t:0,i:1206},
D{l:134,t:0,i:1302},
D{l:4,t:10,i:450},
D{l:135,t:10,i:1158},
D{l:135,t:11,i:150},
D{l:136,t:11,i:649},
D{l:14,t:0,i:213},
D{l:148,t:0,i:38},
D{l:9,t:11,i:45},
D{l:9,t:11,i:311},
D{l:141,t:11,i:42},
D{l:134,t:11,i:521},
D{l:7,t:10,i:1375},
D{l:7,t:10,i:1466},
D{l:138,t:10,i:331},
D{l:132,t:10,i:754},
D{l:5,t:11,i:339},
D{l:7,t:11,i:1442},
D{l:14,t:11,i:3},
D{l:15,t:11,i:41},
D{l:147,t:11,i:66},
D{l:136,t:11,i:378},
D{l:134,t:0,i:1022},
D{l:5,t:10,i:850},
D{l:136,t:10,i:799},
D{l:142,t:0,i:143},
D{l:135,t:0,i:2029},
D{l:134,t:11,i:1628},
D{l:8,t:0,i:523},
D{l:150,t:0,i:34},
D{l:5,t:0,i:625},
D{l:135,t:0,i:1617},
D{l:7,t:0,i:275},
D{l:7,t:10,i:238},
D{l:7,t:10,i:2033},
D{l:8,t:10,i:120},
D{l:8,t:10,i:188},
D{l:8,t:10,i:659},
D{l:9,t:10,i:598},
D{l:10,t:10,i:466},
D{l:12,t:10,i:342},
D{l:12,t:10,i:588},
D{l:13,t:10,i:503},
D{l:14,t:10,i:246},
D{l:143,t:10,i:92},
D{l:7,t:0,i:37},
D{l:8,t:0,i:425},
D{l:8,t:0,i:693},
D{l:9,t:0,i:720},
D{l:10,t:0,i:380},
D{l:10,t:0,i:638},
D{l:11,t:0,i:273},
D{l:11,t:0,i:473},
D{l:12,t:0,i:61},
D{l:143,t:0,i:43},
D{l:135,t:11,i:829},
D{l:135,t:0,i:1943},
D{l:132,t:0,i:765},
D{l:5,t:11,i:486},
D{l:135,t:11,i:1349},
D{l:7,t:11,i:1635},
D{l:8,t:11,i:17},
D{l:10,t:11,i:217},
D{l:138,t:11,i:295},
D{l:4,t:10,i:201},
D{l:7,t:10,i:1744},
D{l:8,t:10,i:602},
D{l:11,t:10,i:247},
D{l:11,t:10,i:826},
D{l:145,t:10,i:65},
D{l:138,t:11,i:558},
D{l:11,t:0,i:551},
D{l:142,t:0,i:159},
D{l:8,t:10,i:164},
D{l:146,t:10,i:62},
D{l:139,t:11,i:176},
D{l:132,t:0,i:168},
D{l:136,t:0,i:1010},
D{l:134,t:0,i:1994},
D{l:135,t:0,i:91},
D{l:138,t:0,i:532},
D{l:135,t:10,i:1243},
D{l:135,t:0,i:1884},
D{l:132,t:10,i:907},
D{l:5,t:10,i:100},
D{l:10,t:10,i:329},
D{l:12,t:10,i:416},
D{l:149,t:10,i:29},
D{l:134,t:11,i:447},
D{l:132,t:10,i:176},
D{l:5,t:10,i:636},
D{l:5,t:10,i:998},
D{l:7,t:10,i:9},
D{l:7,t:10,i:1508},
D{l:8,t:10,i:26},
D{l:9,t:10,i:317},
D{l:9,t:10,i:358},
D{l:10,t:10,i:210},
D{l:10,t:10,i:292},
D{l:10,t:10,i:533},
D{l:11,t:10,i:555},
D{l:12,t:10,i:526},
D{l:12,t:10,i:607},
D{l:13,t:10,i:263},
D{l:13,t:10,i:459},
D{l:142,t:10,i:271},
D{l:4,t:11,i:609},
D{l:135,t:11,i:756},
D{l:6,t:0,i:15},
D{l:7,t:0,i:70},
D{l:10,t:0,i:240},
D{l:147,t:0,i:93},
D{l:4,t:11,i:930},
D{l:133,t:11,i:947},
D{l:134,t:0,i:1227},
D{l:134,t:0,i:1534},
D{l:133,t:11,i:939},
D{l:133,t:11,i:962},
D{l:5,t:11,i:651},
D{l:8,t:11,i:170},
D{l:9,t:11,i:61},
D{l:9,t:11,i:63},
D{l:10,t:11,i:23},
D{l:10,t:11,i:37},
D{l:10,t:11,i:834},
D{l:11,t:11,i:4},
D{l:11,t:11,i:187},
D{l:11,t:11,i:281},
D{l:11,t:11,i:503},
D{l:11,t:11,i:677},
D{l:12,t:11,i:96},
D{l:12,t:11,i:130},
D{l:12,t:11,i:244},
D{l:14,t:11,i:5},
D{l:14,t:11,i:40},
D{l:14,t:11,i:162},
D{l:14,t:11,i:202},
D{l:146,t:11,i:133},
D{l:4,t:11,i:406},
D{l:5,t:11,i:579},
D{l:12,t:11,i:492},
D{l:150,t:11,i:15},
D{l:139,t:0,i:392},
D{l:6,t:10,i:610},
D{l:10,t:10,i:127},
D{l:141,t:10,i:27},
D{l:7,t:0,i:655},
D{l:7,t:0,i:1844},
D{l:136,t:10,i:119},
D{l:4,t:0,i:145},
D{l:6,t:0,i:176},
D{l:7,t:0,i:395},
D{l:137,t:0,i:562},
D{l:132,t:0,i:501},
D{l:140,t:11,i:145},
D{l:136,t:0,i:1019},
D{l:134,t:0,i:509},
D{l:139,t:0,i:267},
D{l:6,t:11,i:17},
D{l:7,t:11,i:16},
D{l:7,t:11,i:1001},
D{l:7,t:11,i:1982},
D{l:9,t:11,i:886},
D{l:10,t:11,i:489},
D{l:10,t:11,i:800},
D{l:11,t:11,i:782},
D{l:12,t:11,i:320},
D{l:13,t:11,i:467},
D{l:14,t:11,i:145},
D{l:14,t:11,i:387},
D{l:143,t:11,i:119},
D{l:145,t:11,i:17},
D{l:6,t:0,i:1099},
D{l:133,t:11,i:458},
D{l:7,t:11,i:1983},
D{l:8,t:11,i:0},
D{l:8,t:11,i:171},
D{l:9,t:11,i:120},
D{l:9,t:11,i:732},
D{l:10,t:11,i:473},
D{l:11,t:11,i:656},
D{l:11,t:11,i:998},
D{l:18,t:11,i:0},
D{l:18,t:11,i:2},
D{l:147,t:11,i:21},
D{l:12,t:11,i:427},
D{l:146,t:11,i:38},
D{l:10,t:0,i:948},
D{l:138,t:0,i:968},
D{l:7,t:10,i:126},
D{l:136,t:10,i:84},
D{l:136,t:10,i:790},
D{l:4,t:0,i:114},
D{l:9,t:0,i:492},
D{l:13,t:0,i:462},
D{l:142,t:0,i:215},
D{l:6,t:10,i:64},
D{l:12,t:10,i:377},
D{l:141,t:10,i:309},
D{l:4,t:0,i:77},
D{l:5,t:0,i:361},
D{l:6,t:0,i:139},
D{l:6,t:0,i:401},
D{l:6,t:0,i:404},
D{l:7,t:0,i:413},
D{l:7,t:0,i:715},
D{l:7,t:0,i:1716},
D{l:11,t:0,i:279},
D{l:12,t:0,i:179},
D{l:12,t:0,i:258},
D{l:13,t:0,i:244},
D{l:142,t:0,i:358},
D{l:134,t:0,i:1717},
D{l:7,t:0,i:772},
D{l:7,t:0,i:1061},
D{l:7,t:0,i:1647},
D{l:8,t:0,i:82},
D{l:11,t:0,i:250},
D{l:11,t:0,i:607},
D{l:12,t:0,i:311},
D{l:12,t:0,i:420},
D{l:13,t:0,i:184},
D{l:13,t:0,i:367},
D{l:7,t:10,i:1104},
D{l:11,t:10,i:269},
D{l:11,t:10,i:539},
D{l:11,t:10,i:627},
D{l:11,t:10,i:706},
D{l:11,t:10,i:975},
D{l:12,t:10,i:248},
D{l:12,t:10,i:434},
D{l:12,t:10,i:600},
D{l:12,t:10,i:622},
D{l:13,t:10,i:297},
D{l:13,t:10,i:485},
D{l:14,t:10,i:69},
D{l:14,t:10,i:409},
D{l:143,t:10,i:108},
D{l:135,t:0,i:724},
D{l:4,t:11,i:512},
D{l:4,t:11,i:519},
D{l:133,t:11,i:342},
D{l:134,t:0,i:1133},
D{l:145,t:11,i:29},
D{l:11,t:10,i:977},
D{l:141,t:10,i:507},
D{l:6,t:0,i:841},
D{l:6,t:0,i:1042},
D{l:6,t:0,i:1194},
D{l:10,t:0,i:993},
D{l:140,t:0,i:1021},
D{l:6,t:11,i:31},
D{l:7,t:11,i:491},
D{l:7,t:11,i:530},
D{l:8,t:11,i:592},
D{l:9,t:10,i:34},
D{l:11,t:11,i:53},
D{l:11,t:10,i:484},
D{l:11,t:11,i:779},
D{l:12,t:11,i:167},
D{l:12,t:11,i:411},
D{l:14,t:11,i:14},
D{l:14,t:11,i:136},
D{l:15,t:11,i:72},
D{l:16,t:11,i:17},
D{l:144,t:11,i:72},
D{l:4,t:0,i:1021},
D{l:6,t:0,i:2037},
D{l:133,t:11,i:907},
D{l:7,t:0,i:373},
D{l:8,t:0,i:335},
D{l:8,t:0,i:596},
D{l:9,t:0,i:488},
D{l:6,t:10,i:1700},
D{l:7,t:10,i:293},
D{l:7,t:10,i:382},
D{l:7,t:10,i:1026},
D{l:7,t:10,i:1087},
D{l:7,t:10,i:2027},
D{l:8,t:10,i:252},
D{l:8,t:10,i:727},
D{l:8,t:10,i:729},
D{l:9,t:10,i:30},
D{l:9,t:10,i:199},
D{l:9,t:10,i:231},
D{l:9,t:10,i:251},
D{l:9,t:10,i:334},
D{l:9,t:10,i:361},
D{l:9,t:10,i:712},
D{l:10,t:10,i:55},
D{l:10,t:10,i:60},
D{l:10,t:10,i:232},
D{l:10,t:10,i:332},
D{l:10,t:10,i:384},
D{l:10,t:10,i:396},
D{l:10,t:10,i:504},
D{l:10,t:10,i:542},
D{l:10,t:10,i:652},
D{l:11,t:10,i:20},
D{l:11,t:10,i:48},
D{l:11,t:10,i:207},
D{l:11,t:10,i:291},
D{l:11,t:10,i:298},
D{l:11,t:10,i:342},
D{l:11,t:10,i:365},
D{l:11,t:10,i:394},
D{l:11,t:10,i:620},
D{l:11,t:10,i:705},
D{l:11,t:10,i:1017},
D{l:12,t:10,i:123},
D{l:12,t:10,i:340},
D{l:12,t:10,i:406},
D{l:12,t:10,i:643},
D{l:13,t:10,i:61},
D{l:13,t:10,i:269},
D{l:13,t:10,i:311},
D{l:13,t:10,i:319},
D{l:13,t:10,i:486},
D{l:14,t:10,i:234},
D{l:15,t:10,i:62},
D{l:15,t:10,i:85},
D{l:16,t:10,i:71},
D{l:18,t:10,i:119},
D{l:148,t:10,i:105},
D{l:150,t:0,i:37},
D{l:4,t:11,i:208},
D{l:5,t:11,i:106},
D{l:6,t:11,i:531},
D{l:8,t:11,i:408},
D{l:9,t:11,i:188},
D{l:138,t:11,i:572},
D{l:132,t:0,i:564},
D{l:6,t:0,i:513},
D{l:135,t:0,i:1052},
D{l:132,t:0,i:825},
D{l:9,t:0,i:899},
D{l:140,t:11,i:441},
D{l:134,t:0,i:778},
D{l:133,t:11,i:379},
D{l:7,t:0,i:1417},
D{l:12,t:0,i:382},
D{l:17,t:0,i:48},
D{l:152,t:0,i:12},
D{l:132,t:11,i:241},
D{l:7,t:0,i:1116},
D{l:6,t:10,i:379},
D{l:7,t:10,i:270},
D{l:8,t:10,i:176},
D{l:8,t:10,i:183},
D{l:9,t:10,i:432},
D{l:9,t:10,i:661},
D{l:12,t:10,i:247},
D{l:12,t:10,i:617},
D{l:146,t:10,i:125},
D{l:5,t:10,i:792},
D{l:133,t:10,i:900},
D{l:6,t:0,i:545},
D{l:7,t:0,i:565},
D{l:7,t:0,i:1669},
D{l:10,t:0,i:114},
D{l:11,t:0,i:642},
D{l:140,t:0,i:618},
D{l:133,t:0,i:5},
D{l:138,t:11,i:7},
D{l:132,t:11,i:259},
D{l:135,t:0,i:192},
D{l:134,t:0,i:701},
D{l:136,t:0,i:763},
D{l:135,t:10,i:1979},
D{l:4,t:10,i:901},
D{l:133,t:10,i:776},
D{l:10,t:0,i:755},
D{l:147,t:0,i:29},
D{l:133,t:0,i:759},
D{l:4,t:11,i:173},
D{l:5,t:11,i:312},
D{l:5,t:11,i:512},
D{l:135,t:11,i:1285},
D{l:7,t:11,i:1603},
D{l:7,t:11,i:1691},
D{l:9,t:11,i:464},
D{l:11,t:11,i:195},
D{l:12,t:11,i:279},
D{l:12,t:11,i:448},
D{l:14,t:11,i:11},
D{l:147,t:11,i:102},
D{l:7,t:0,i:370},
D{l:7,t:0,i:1007},
D{l:7,t:0,i:1177},
D{l:135,t:0,i:1565},
D{l:135,t:0,i:1237},
D{l:4,t:0,i:87},
D{l:5,t:0,i:250},
D{l:141,t:0,i:298},
D{l:4,t:11,i:452},
D{l:5,t:11,i:583},
D{l:5,t:11,i:817},
D{l:6,t:11,i:433},
D{l:7,t:11,i:593},
D{l:7,t:11,i:720},
D{l:7,t:11,i:1378},
D{l:8,t:11,i:161},
D{l:9,t:11,i:284},
D{l:10,t:11,i:313},
D{l:139,t:11,i:886},
D{l:4,t:11,i:547},
D{l:135,t:11,i:1409},
D{l:136,t:11,i:722},
D{l:4,t:10,i:37},
D{l:5,t:10,i:334},
D{l:135,t:10,i:1253},
D{l:132,t:10,i:508},
D{l:12,t:0,i:107},
D{l:146,t:0,i:31},
D{l:8,t:11,i:420},
D{l:139,t:11,i:193},
D{l:135,t:0,i:814},
D{l:135,t:11,i:409},
D{l:140,t:0,i:991},
D{l:4,t:0,i:57},
D{l:7,t:0,i:1195},
D{l:7,t:0,i:1438},
D{l:7,t:0,i:1548},
D{l:7,t:0,i:1835},
D{l:7,t:0,i:1904},
D{l:9,t:0,i:757},
D{l:10,t:0,i:604},
D{l:139,t:0,i:519},
D{l:132,t:0,i:540},
D{l:138,t:11,i:308},
D{l:132,t:10,i:533},
D{l:136,t:0,i:608},
D{l:144,t:11,i:65},
D{l:4,t:0,i:1014},
D{l:134,t:0,i:2029},
D{l:4,t:0,i:209},
D{l:7,t:0,i:902},
D{l:5,t:11,i:1002},
D{l:136,t:11,i:745},
D{l:134,t:0,i:2030},
D{l:6,t:0,i:303},
D{l:7,t:0,i:335},
D{l:7,t:0,i:1437},
D{l:7,t:0,i:1668},
D{l:8,t:0,i:553},
D{l:8,t:0,i:652},
D{l:8,t:0,i:656},
D{l:9,t:0,i:558},
D{l:11,t:0,i:743},
D{l:149,t:0,i:18},
D{l:5,t:11,i:575},
D{l:6,t:11,i:354},
D{l:135,t:11,i:701},
D{l:4,t:11,i:239},
D{l:6,t:11,i:477},
D{l:7,t:11,i:1607},
D{l:11,t:11,i:68},
D{l:139,t:11,i:617},
D{l:132,t:0,i:559},
D{l:8,t:0,i:527},
D{l:18,t:0,i:60},
D{l:147,t:0,i:24},
D{l:133,t:10,i:920},
D{l:138,t:0,i:511},
D{l:133,t:0,i:1017},
D{l:133,t:0,i:675},
D{l:138,t:10,i:391},
D{l:11,t:0,i:156},
D{l:135,t:10,i:1952},
D{l:138,t:11,i:369},
D{l:132,t:11,i:367},
D{l:133,t:0,i:709},
D{l:6,t:0,i:698},
D{l:134,t:0,i:887},
D{l:142,t:10,i:126},
D{l:134,t:0,i:1745},
D{l:132,t:10,i:483},
D{l:13,t:11,i:299},
D{l:142,t:11,i:75},
D{l:133,t:0,i:714},
D{l:7,t:0,i:8},
D{l:136,t:0,i:206},
D{l:138,t:10,i:480},
D{l:4,t:11,i:694},
D{l:9,t:10,i:495},
D{l:146,t:10,i:104},
D{l:7,t:11,i:1248},
D{l:11,t:11,i:621},
D{l:139,t:11,i:702},
D{l:140,t:11,i:687},
D{l:132,t:0,i:776},
D{l:139,t:10,i:1009},
D{l:135,t:0,i:1272},
D{l:134,t:0,i:1059},
D{l:8,t:10,i:653},
D{l:13,t:10,i:93},
D{l:147,t:10,i:14},
D{l:135,t:11,i:213},
D{l:136,t:0,i:406},
D{l:133,t:10,i:172},
D{l:132,t:0,i:947},
D{l:8,t:0,i:175},
D{l:10,t:0,i:168},
D{l:138,t:0,i:573},
D{l:132,t:0,i:870},
D{l:6,t:0,i:1567},
D{l:151,t:11,i:28},
D{l:134,t:11,i:472},
D{l:5,t:10,i:260},
D{l:136,t:11,i:132},
D{l:4,t:11,i:751},
D{l:11,t:11,i:390},
D{l:140,t:11,i:32},
D{l:4,t:11,i:409},
D{l:133,t:11,i:78},
D{l:12,t:0,i:554},
D{l:6,t:11,i:473},
D{l:145,t:11,i:105},
D{l:133,t:0,i:784},
D{l:8,t:0,i:908},
D{l:136,t:11,i:306},
D{l:139,t:0,i:882},
D{l:6,t:0,i:358},
D{l:7,t:0,i:1393},
D{l:8,t:0,i:396},
D{l:10,t:0,i:263},
D{l:14,t:0,i:154},
D{l:16,t:0,i:48},
D{l:17,t:0,i:8},
D{l:7,t:11,i:1759},
D{l:8,t:11,i:396},
D{l:10,t:11,i:263},
D{l:14,t:11,i:154},
D{l:16,t:11,i:48},
D{l:145,t:11,i:8},
D{l:13,t:11,i:163},
D{l:13,t:11,i:180},
D{l:18,t:11,i:78},
D{l:148,t:11,i:35},
D{l:14,t:0,i:32},
D{l:18,t:0,i:85},
D{l:20,t:0,i:2},
D{l:152,t:0,i:16},
D{l:7,t:0,i:228},
D{l:10,t:0,i:770},
D{l:8,t:10,i:167},
D{l:8,t:10,i:375},
D{l:9,t:10,i:82},
D{l:9,t:10,i:561},
D{l:138,t:10,i:620},
D{l:132,t:0,i:845},
D{l:9,t:0,i:14},
D{l:9,t:0,i:441},
D{l:10,t:0,i:306},
D{l:139,t:0,i:9},
D{l:11,t:0,i:966},
D{l:12,t:0,i:287},
D{l:13,t:0,i:342},
D{l:13,t:0,i:402},
D{l:15,t:0,i:110},
D{l:15,t:0,i:163},
D{l:8,t:10,i:194},
D{l:136,t:10,i:756},
D{l:134,t:0,i:1578},
D{l:4,t:0,i:967},
D{l:6,t:0,i:1820},
D{l:6,t:0,i:1847},
D{l:140,t:0,i:716},
D{l:136,t:0,i:594},
D{l:7,t:0,i:1428},
D{l:7,t:0,i:1640},
D{l:7,t:0,i:1867},
D{l:9,t:0,i:169},
D{l:9,t:0,i:182},
D{l:9,t:0,i:367},
D{l:9,t:0,i:478},
D{l:9,t:0,i:506},
D{l:9,t:0,i:551},
D{l:9,t:0,i:557},
D{l:9,t:0,i:648},
D{l:9,t:0,i:697},
D{l:9,t:0,i:705},
D{l:9,t:0,i:725},
D{l:9,t:0,i:787},
D{l:9,t:0,i:794},
D{l:10,t:0,i:198},
D{l:10,t:0,i:214},
D{l:10,t:0,i:267},
D{l:10,t:0,i:275},
D{l:10,t:0,i:456},
D{l:10,t:0,i:551},
D{l:10,t:0,i:561},
D{l:10,t:0,i:613},
D{l:10,t:0,i:627},
D{l:10,t:0,i:668},
D{l:10,t:0,i:675},
D{l:10,t:0,i:691},
D{l:10,t:0,i:695},
D{l:10,t:0,i:707},
D{l:10,t:0,i:715},
D{l:11,t:0,i:183},
D{l:11,t:0,i:201},
D{l:11,t:0,i:244},
D{l:11,t:0,i:262},
D{l:11,t:0,i:352},
D{l:11,t:0,i:439},
D{l:11,t:0,i:493},
D{l:11,t:0,i:572},
D{l:11,t:0,i:591},
D{l:11,t:0,i:608},
D{l:11,t:0,i:611},
D{l:11,t:0,i:646},
D{l:11,t:0,i:674},
D{l:11,t:0,i:711},
D{l:11,t:0,i:751},
D{l:11,t:0,i:761},
D{l:11,t:0,i:776},
D{l:11,t:0,i:785},
D{l:11,t:0,i:850},
D{l:11,t:0,i:853},
D{l:11,t:0,i:862},
D{l:11,t:0,i:865},
D{l:11,t:0,i:868},
D{l:11,t:0,i:875},
D{l:11,t:0,i:898},
D{l:11,t:0,i:902},
D{l:11,t:0,i:903},
D{l:11,t:0,i:910},
D{l:11,t:0,i:932},
D{l:11,t:0,i:942},
D{l:11,t:0,i:957},
D{l:11,t:0,i:967},
D{l:11,t:0,i:972},
D{l:12,t:0,i:148},
D{l:12,t:0,i:195},
D{l:12,t:0,i:220},
D{l:12,t:0,i:237},
D{l:12,t:0,i:318},
D{l:12,t:0,i:339},
D{l:12,t:0,i:393},
D{l:12,t:0,i:445},
D{l:12,t:0,i:450},
D{l:12,t:0,i:474},
D{l:12,t:0,i:505},
D{l:12,t:0,i:509},
D{l:12,t:0,i:533},
D{l:12,t:0,i:591},
D{l:12,t:0,i:594},
D{l:12,t:0,i:597},
D{l:12,t:0,i:621},
D{l:12,t:0,i:633},
D{l:12,t:0,i:642},
D{l:13,t:0,i:59},
D{l:13,t:0,i:60},
D{l:13,t:0,i:145},
D{l:13,t:0,i:239},
D{l:13,t:0,i:250},
D{l:13,t:0,i:329},
D{l:13,t:0,i:344},
D{l:13,t:0,i:365},
D{l:13,t:0,i:372},
D{l:13,t:0,i:387},
D{l:13,t:0,i:403},
D{l:13,t:0,i:414},
D{l:13,t:0,i:456},
D{l:13,t:0,i:470},
D{l:13,t:0,i:478},
D{l:13,t:0,i:483},
D{l:13,t:0,i:489},
D{l:14,t:0,i:55},
D{l:14,t:0,i:57},
D{l:14,t:0,i:81},
D{l:14,t:0,i:90},
D{l:14,t:0,i:148},
D{l:14,t:0,i:239},
D{l:14,t:0,i:266},
D{l:14,t:0,i:321},
D{l:14,t:0,i:326},
D{l:14,t:0,i:327},
D{l:14,t:0,i:330},
D{l:14,t:0,i:347},
D{l:14,t:0,i:355},
D{l:14,t:0,i:401},
D{l:14,t:0,i:404},
D{l:14,t:0,i:411},
D{l:14,t:0,i:414},
D{l:14,t:0,i:416},
D{l:14,t:0,i:420},
D{l:15,t:0,i:61},
D{l:15,t:0,i:74},
D{l:15,t:0,i:87},
D{l:15,t:0,i:88},
D{l:15,t:0,i:94},
D{l:15,t:0,i:96},
D{l:15,t:0,i:116},
D{l:15,t:0,i:149},
D{l:15,t:0,i:154},
D{l:16,t:0,i:50},
D{l:16,t:0,i:63},
D{l:16,t:0,i:73},
D{l:17,t:0,i:2},
D{l:17,t:0,i:66},
D{l:17,t:0,i:92},
D{l:17,t:0,i:103},
D{l:17,t:0,i:112},
D{l:17,t:0,i:120},
D{l:18,t:0,i:50},
D{l:18,t:0,i:54},
D{l:18,t:0,i:82},
D{l:18,t:0,i:86},
D{l:18,t:0,i:90},
D{l:18,t:0,i:111},
D{l:18,t:0,i:115},
D{l:18,t:0,i:156},
D{l:19,t:0,i:40},
D{l:19,t:0,i:79},
D{l:20,t:0,i:78},
D{l:21,t:0,i:22},
D{l:135,t:11,i:883},
D{l:5,t:0,i:161},
D{l:135,t:0,i:839},
D{l:4,t:0,i:782},
D{l:13,t:11,i:293},
D{l:142,t:11,i:56},
D{l:133,t:11,i:617},
D{l:139,t:11,i:50},
D{l:135,t:10,i:22},
D{l:145,t:0,i:64},
D{l:5,t:10,i:639},
D{l:7,t:10,i:1249},
D{l:139,t:10,i:896},
D{l:138,t:0,i:998},
D{l:135,t:11,i:2042},
D{l:4,t:11,i:546},
D{l:142,t:11,i:233},
D{l:6,t:0,i:1043},
D{l:134,t:0,i:1574},
D{l:134,t:0,i:1496},
D{l:4,t:10,i:102},
D{l:7,t:10,i:815},
D{l:7,t:10,i:1699},
D{l:139,t:10,i:964},
D{l:12,t:0,i:781},
D{l:142,t:0,i:461},
D{l:4,t:11,i:313},
D{l:133,t:11,i:577},
D{l:6,t:0,i:639},
D{l:6,t:0,i:1114},
D{l:137,t:0,i:817},
D{l:8,t:11,i:184},
D{l:141,t:11,i:433},
D{l:7,t:0,i:1814},
D{l:135,t:11,i:935},
D{l:10,t:0,i:997},
D{l:140,t:0,i:958},
D{l:4,t:0,i:812},
D{l:137,t:11,i:625},
D{l:132,t:10,i:899},
D{l:136,t:10,i:795},
D{l:5,t:11,i:886},
D{l:6,t:11,i:46},
D{l:6,t:11,i:1790},
D{l:7,t:11,i:14},
D{l:7,t:11,i:732},
D{l:7,t:11,i:1654},
D{l:8,t:11,i:95},
D{l:8,t:11,i:327},
D{l:8,t:11,i:616},
D{l:10,t:11,i:598},
D{l:10,t:11,i:769},
D{l:11,t:11,i:134},
D{l:11,t:11,i:747},
D{l:12,t:11,i:378},
D{l:142,t:11,i:97},
D{l:136,t:0,i:139},
D{l:6,t:10,i:52},
D{l:9,t:10,i:104},
D{l:9,t:10,i:559},
D{l:12,t:10,i:308},
D{l:147,t:10,i:87},
D{l:133,t:11,i:1021},
D{l:132,t:10,i:604},
D{l:132,t:10,i:301},
D{l:136,t:10,i:779},
D{l:7,t:0,i:643},
D{l:136,t:0,i:236},
D{l:132,t:11,i:153},
D{l:134,t:0,i:1172},
D{l:147,t:10,i:32},
D{l:133,t:11,i:798},
D{l:6,t:0,i:1338},
D{l:132,t:11,i:587},
D{l:6,t:11,i:598},
D{l:7,t:11,i:42},
D{l:8,t:11,i:695},
D{l:10,t:11,i:212},
D{l:11,t:11,i:158},
D{l:14,t:11,i:196},
D{l:145,t:11,i:85},
D{l:135,t:10,i:508},
D{l:5,t:11,i:957},
D{l:5,t:11,i:1008},
D{l:135,t:11,i:249},
D{l:4,t:11,i:129},
D{l:135,t:11,i:465},
D{l:5,t:0,i:54},
D{l:7,t:11,i:470},
D{l:7,t:11,i:1057},
D{l:7,t:11,i:1201},
D{l:9,t:11,i:755},
D{l:11,t:11,i:906},
D{l:140,t:11,i:527},
D{l:7,t:11,i:908},
D{l:146,t:11,i:7},
D{l:5,t:11,i:148},
D{l:136,t:11,i:450},
D{l:144,t:11,i:1},
D{l:4,t:0,i:256},
D{l:135,t:0,i:1488},
D{l:9,t:0,i:351},
D{l:6,t:10,i:310},
D{l:7,t:10,i:1849},
D{l:8,t:10,i:72},
D{l:8,t:10,i:272},
D{l:8,t:10,i:431},
D{l:9,t:10,i:12},
D{l:10,t:10,i:563},
D{l:10,t:10,i:630},
D{l:10,t:10,i:796},
D{l:10,t:10,i:810},
D{l:11,t:10,i:367},
D{l:11,t:10,i:599},
D{l:11,t:10,i:686},
D{l:140,t:10,i:672},
D{l:6,t:0,i:1885},
D{l:6,t:0,i:1898},
D{l:6,t:0,i:1899},
D{l:140,t:0,i:955},
D{l:4,t:0,i:714},
D{l:133,t:0,i:469},
D{l:6,t:0,i:1270},
D{l:134,t:0,i:1456},
D{l:132,t:0,i:744},
D{l:6,t:0,i:313},
D{l:7,t:10,i:537},
D{l:8,t:10,i:64},
D{l:9,t:10,i:127},
D{l:10,t:10,i:496},
D{l:12,t:10,i:510},
D{l:141,t:10,i:384},
D{l:4,t:11,i:217},
D{l:4,t:10,i:244},
D{l:5,t:11,i:710},
D{l:7,t:10,i:233},
D{l:7,t:11,i:1926},
D{l:9,t:11,i:428},
D{l:9,t:11,i:708},
D{l:10,t:11,i:254},
D{l:10,t:11,i:296},
D{l:10,t:11,i:720},
D{l:11,t:11,i:109},
D{l:11,t:11,i:255},
D{l:12,t:11,i:165},
D{l:12,t:11,i:315},
D{l:13,t:11,i:107},
D{l:13,t:11,i:203},
D{l:14,t:11,i:54},
D{l:14,t:11,i:99},
D{l:14,t:11,i:114},
D{l:14,t:11,i:388},
D{l:16,t:11,i:85},
D{l:17,t:11,i:9},
D{l:17,t:11,i:33},
D{l:20,t:11,i:25},
D{l:20,t:11,i:28},
D{l:20,t:11,i:29},
D{l:21,t:11,i:9},
D{l:21,t:11,i:10},
D{l:21,t:11,i:34},
D{l:150,t:11,i:17},
D{l:138,t:0,i:402},
D{l:7,t:0,i:969},
D{l:146,t:0,i:55},
D{l:8,t:0,i:50},
D{l:137,t:0,i:624},
D{l:134,t:0,i:1355},
D{l:132,t:0,i:572},
D{l:134,t:10,i:1650},
D{l:10,t:10,i:702},
D{l:139,t:10,i:245},
D{l:10,t:0,i:847},
D{l:142,t:0,i:445},
D{l:6,t:0,i:43},
D{l:7,t:0,i:38},
D{l:8,t:0,i:248},
D{l:138,t:0,i:513},
D{l:133,t:0,i:369},
D{l:137,t:10,i:338},
D{l:133,t:0,i:766},
D{l:133,t:0,i:363},
D{l:133,t:10,i:896},
D{l:8,t:11,i:392},
D{l:11,t:11,i:54},
D{l:13,t:11,i:173},
D{l:13,t:11,i:294},
D{l:148,t:11,i:7},
D{l:134,t:0,i:678},
D{l:7,t:11,i:1230},
D{l:136,t:11,i:531},
D{l:6,t:0,i:258},
D{l:140,t:0,i:409},
D{l:5,t:0,i:249},
D{l:148,t:0,i:82},
D{l:7,t:10,i:1117},
D{l:136,t:10,i:539},
D{l:5,t:0,i:393},
D{l:6,t:0,i:378},
D{l:7,t:0,i:1981},
D{l:9,t:0,i:32},
D{l:9,t:0,i:591},
D{l:10,t:0,i:685},
D{l:10,t:0,i:741},
D{l:142,t:0,i:382},
D{l:133,t:0,i:788},
D{l:134,t:0,i:1281},
D{l:134,t:0,i:1295},
D{l:7,t:0,i:1968},
D{l:141,t:0,i:509},
D{l:4,t:0,i:61},
D{l:5,t:0,i:58},
D{l:5,t:0,i:171},
D{l:5,t:0,i:683},
D{l:6,t:0,i:291},
D{l:6,t:0,i:566},
D{l:7,t:0,i:1650},
D{l:11,t:0,i:523},
D{l:12,t:0,i:273},
D{l:12,t:0,i:303},
D{l:15,t:0,i:39},
D{l:143,t:0,i:111},
D{l:6,t:0,i:706},
D{l:134,t:0,i:1283},
D{l:134,t:0,i:589},
D{l:135,t:11,i:1433},
D{l:133,t:11,i:435},
D{l:7,t:0,i:1059},
D{l:13,t:0,i:54},
D{l:5,t:10,i:4},
D{l:5,t:10,i:810},
D{l:6,t:10,i:13},
D{l:6,t:10,i:538},
D{l:6,t:10,i:1690},
D{l:6,t:10,i:1726},
D{l:7,t:10,i:1819},
D{l:8,t:10,i:148},
D{l:8,t:10,i:696},
D{l:8,t:10,i:791},
D{l:12,t:10,i:125},
D{l:143,t:10,i:9},
D{l:135,t:10,i:1268},
D{l:5,t:11,i:85},
D{l:6,t:11,i:419},
D{l:7,t:11,i:134},
D{l:7,t:11,i:305},
D{l:7,t:11,i:361},
D{l:7,t:11,i:1337},
D{l:8,t:11,i:71},
D{l:140,t:11,i:519},
D{l:137,t:0,i:824},
D{l:140,t:11,i:688},
D{l:5,t:11,i:691},
D{l:7,t:11,i:345},
D{l:7,t:10,i:1385},
D{l:9,t:11,i:94},
D{l:11,t:10,i:582},
D{l:11,t:10,i:650},
D{l:11,t:10,i:901},
D{l:11,t:10,i:949},
D{l:12,t:11,i:169},
D{l:12,t:10,i:232},
D{l:12,t:10,i:236},
D{l:13,t:10,i:413},
D{l:13,t:10,i:501},
D{l:146,t:10,i:116},
D{l:4,t:0,i:917},
D{l:133,t:0,i:1005},
D{l:7,t:0,i:1598},
D{l:5,t:11,i:183},
D{l:6,t:11,i:582},
D{l:9,t:11,i:344},
D{l:10,t:11,i:679},
D{l:140,t:11,i:435},
D{l:4,t:10,i:925},
D{l:5,t:10,i:803},
D{l:8,t:10,i:698},
D{l:138,t:10,i:828},
D{l:132,t:0,i:919},
D{l:135,t:11,i:511},
D{l:139,t:10,i:992},
D{l:4,t:0,i:255},
D{l:5,t:0,i:302},
D{l:6,t:0,i:132},
D{l:7,t:0,i:128},
D{l:7,t:0,i:283},
D{l:7,t:0,i:1299},
D{l:10,t:0,i:52},
D{l:10,t:0,i:514},
D{l:11,t:0,i:925},
D{l:13,t:0,i:92},
D{l:142,t:0,i:309},
D{l:134,t:0,i:1369},
D{l:135,t:10,i:1847},
D{l:134,t:0,i:328},
D{l:7,t:11,i:1993},
D{l:136,t:11,i:684},
D{l:133,t:10,i:383},
D{l:137,t:0,i:173},
D{l:134,t:11,i:583},
D{l:134,t:0,i:1411},
D{l:19,t:0,i:65},
D{l:5,t:11,i:704},
D{l:8,t:11,i:357},
D{l:10,t:11,i:745},
D{l:14,t:11,i:426},
D{l:17,t:11,i:94},
D{l:147,t:11,i:57},
D{l:9,t:10,i:660},
D{l:138,t:10,i:347},
D{l:4,t:11,i:179},
D{l:5,t:11,i:198},
D{l:133,t:11,i:697},
D{l:7,t:11,i:347},
D{l:7,t:11,i:971},
D{l:8,t:11,i:181},
D{l:138,t:11,i:711},
D{l:141,t:0,i:442},
D{l:11,t:0,i:842},
D{l:11,t:0,i:924},
D{l:13,t:0,i:317},
D{l:13,t:0,i:370},
D{l:13,t:0,i:469},
D{l:13,t:0,i:471},
D{l:14,t:0,i:397},
D{l:18,t:0,i:69},
D{l:18,t:0,i:145},
D{l:7,t:10,i:572},
D{l:9,t:10,i:592},
D{l:11,t:10,i:680},
D{l:12,t:10,i:356},
D{l:140,t:10,i:550},
D{l:14,t:11,i:19},
D{l:14,t:11,i:28},
D{l:144,t:11,i:29},
D{l:136,t:0,i:534},
D{l:4,t:11,i:243},
D{l:5,t:11,i:203},
D{l:7,t:11,i:19},
D{l:7,t:11,i:71},
D{l:7,t:11,i:113},
D{l:10,t:11,i:405},
D{l:11,t:11,i:357},
D{l:142,t:11,i:240},
D{l:6,t:0,i:210},
D{l:10,t:0,i:845},
D{l:138,t:0,i:862},
D{l:7,t:11,i:1351},
D{l:9,t:11,i:581},
D{l:10,t:11,i:639},
D{l:11,t:11,i:453},
D{l:140,t:11,i:584},
D{l:7,t:11,i:1450},
D{l:139,t:11,i:99},
D{l:10,t:0,i:892},
D{l:12,t:0,i:719},
D{l:144,t:0,i:105},
D{l:4,t:0,i:284},
D{l:6,t:0,i:223},
D{l:134,t:11,i:492},
D{l:5,t:11,i:134},
D{l:6,t:11,i:408},
D{l:6,t:11,i:495},
D{l:135,t:11,i:1593},
D{l:136,t:0,i:529},
D{l:137,t:0,i:807},
D{l:4,t:0,i:218},
D{l:7,t:0,i:526},
D{l:143,t:0,i:137},
D{l:6,t:0,i:1444},
D{l:142,t:11,i:4},
D{l:132,t:11,i:665},
D{l:4,t:0,i:270},
D{l:5,t:0,i:192},
D{l:6,t:0,i:332},
D{l:7,t:0,i:1322},
D{l:4,t:11,i:248},
D{l:7,t:11,i:137},
D{l:137,t:11,i:349},
D{l:140,t:0,i:661},
D{l:7,t:0,i:1517},
D{l:11,t:0,i:597},
D{l:14,t:0,i:76},
D{l:14,t:0,i:335},
D{l:20,t:0,i:33},
D{l:7,t:10,i:748},
D{l:139,t:10,i:700},
D{l:5,t:11,i:371},
D{l:135,t:11,i:563},
D{l:146,t:11,i:57},
D{l:133,t:10,i:127},
D{l:133,t:0,i:418},
D{l:4,t:11,i:374},
D{l:7,t:11,i:547},
D{l:7,t:11,i:1700},
D{l:7,t:11,i:1833},
D{l:139,t:11,i:858},
D{l:6,t:10,i:198},
D{l:140,t:10,i:83},
D{l:7,t:11,i:1812},
D{l:13,t:11,i:259},
D{l:13,t:11,i:356},
D{l:14,t:11,i:242},
D{l:147,t:11,i:114},
D{l:7,t:0,i:379},
D{l:8,t:0,i:481},
D{l:9,t:0,i:377},
D{l:5,t:10,i:276},
D{l:6,t:10,i:55},
D{l:135,t:10,i:1369},
D{l:138,t:11,i:286},
D{l:5,t:0,i:1003},
D{l:6,t:0,i:149},
D{l:6,t:10,i:1752},
D{l:136,t:10,i:726},
D{l:8,t:0,i:262},
D{l:9,t:0,i:627},
D{l:10,t:0,i:18},
D{l:11,t:0,i:214},
D{l:11,t:0,i:404},
D{l:11,t:0,i:457},
D{l:11,t:0,i:780},
D{l:11,t:0,i:913},
D{l:13,t:0,i:401},
D{l:14,t:0,i:200},
D{l:6,t:11,i:1647},
D{l:7,t:11,i:1552},
D{l:7,t:11,i:2010},
D{l:9,t:11,i:494},
D{l:137,t:11,i:509},
D{l:135,t:0,i:742},
D{l:136,t:0,i:304},
D{l:132,t:0,i:142},
D{l:133,t:10,i:764},
D{l:6,t:10,i:309},
D{l:7,t:10,i:331},
D{l:138,t:10,i:550},
D{l:135,t:10,i:1062},
D{l:6,t:11,i:123},
D{l:7,t:11,i:214},
D{l:7,t:10,i:986},
D{l:9,t:11,i:728},
D{l:10,t:11,i:157},
D{l:11,t:11,i:346},
D{l:11,t:11,i:662},
D{l:143,t:11,i:106},
D{l:135,t:10,i:1573},
D{l:7,t:0,i:925},
D{l:137,t:0,i:799},
D{l:4,t:0,i:471},
D{l:5,t:0,i:51},
D{l:6,t:0,i:602},
D{l:8,t:0,i:484},
D{l:138,t:0,i:195},
D{l:136,t:0,i:688},
D{l:132,t:0,i:697},
D{l:6,t:0,i:1169},
D{l:6,t:0,i:1241},
D{l:6,t:10,i:194},
D{l:7,t:10,i:133},
D{l:10,t:10,i:493},
D{l:10,t:10,i:570},
D{l:139,t:10,i:664},
D{l:140,t:0,i:751},
D{l:7,t:0,i:929},
D{l:10,t:0,i:452},
D{l:11,t:0,i:878},
D{l:16,t:0,i:33},
D{l:5,t:10,i:24},
D{l:5,t:10,i:569},
D{l:6,t:10,i:3},
D{l:6,t:10,i:119},
D{l:6,t:10,i:143},
D{l:6,t:10,i:440},
D{l:7,t:10,i:599},
D{l:7,t:10,i:1686},
D{l:7,t:10,i:1854},
D{l:8,t:10,i:424},
D{l:9,t:10,i:43},
D{l:9,t:10,i:584},
D{l:9,t:10,i:760},
D{l:10,t:10,i:328},
D{l:11,t:10,i:159},
D{l:11,t:10,i:253},
D{l:12,t:10,i:487},
D{l:140,t:10,i:531},
D{l:4,t:11,i:707},
D{l:13,t:11,i:106},
D{l:18,t:11,i:49},
D{l:147,t:11,i:41},
D{l:5,t:0,i:221},
D{l:5,t:11,i:588},
D{l:134,t:11,i:393},
D{l:134,t:0,i:1437},
D{l:6,t:11,i:211},
D{l:7,t:11,i:1690},
D{l:11,t:11,i:486},
D{l:140,t:11,i:369},
D{l:5,t:10,i:14},
D{l:5,t:10,i:892},
D{l:6,t:10,i:283},
D{l:7,t:10,i:234},
D{l:136,t:10,i:537},
D{l:4,t:0,i:988},
D{l:136,t:0,i:955},
D{l:135,t:0,i:1251},
D{l:4,t:10,i:126},
D{l:8,t:10,i:635},
D{l:147,t:10,i:34},
D{l:4,t:10,i:316},
D{l:135,t:10,i:1561},
D{l:137,t:10,i:861},
D{l:4,t:10,i:64},
D{l:5,t:10,i:352},
D{l:5,t:10,i:720},
D{l:6,t:10,i:368},
D{l:139,t:10,i:359},
D{l:134,t:0,i:192},
D{l:4,t:0,i:132},
D{l:5,t:0,i:69},
D{l:135,t:0,i:1242},
D{l:7,t:10,i:1577},
D{l:10,t:10,i:304},
D{l:10,t:10,i:549},
D{l:12,t:10,i:365},
D{l:13,t:10,i:220},
D{l:13,t:10,i:240},
D{l:142,t:10,i:33},
D{l:4,t:0,i:111},
D{l:7,t:0,i:865},
D{l:134,t:11,i:219},
D{l:5,t:11,i:582},
D{l:6,t:11,i:1646},
D{l:7,t:11,i:99},
D{l:7,t:11,i:1962},
D{l:7,t:11,i:1986},
D{l:8,t:11,i:515},
D{l:8,t:11,i:773},
D{l:9,t:11,i:23},
D{l:9,t:11,i:491},
D{l:12,t:11,i:620},
D{l:14,t:11,i:52},
D{l:145,t:11,i:50},
D{l:132,t:0,i:767},
D{l:7,t:11,i:568},
D{l:148,t:11,i:21},
D{l:6,t:0,i:42},
D{l:7,t:0,i:1416},
D{l:7,t:0,i:2005},
D{l:8,t:0,i:131},
D{l:8,t:0,i:466},
D{l:9,t:0,i:672},
D{l:13,t:0,i:252},
D{l:20,t:0,i:103},
D{l:133,t:11,i:851},
D{l:135,t:0,i:1050},
D{l:6,t:10,i:175},
D{l:137,t:10,i:289},
D{l:5,t:10,i:432},
D{l:133,t:10,i:913},
D{l:6,t:0,i:44},
D{l:136,t:0,i:368},
D{l:135,t:11,i:784},
D{l:132,t:0,i:570},
D{l:133,t:0,i:120},
D{l:139,t:10,i:595},
D{l:140,t:0,i:29},
D{l:6,t:0,i:227},
D{l:135,t:0,i:1589},
D{l:4,t:11,i:98},
D{l:7,t:11,i:1365},
D{l:9,t:11,i:422},
D{l:9,t:11,i:670},
D{l:10,t:11,i:775},
D{l:11,t:11,i:210},
D{l:13,t:11,i:26},
D{l:13,t:11,i:457},
D{l:141,t:11,i:476},
D{l:140,t:10,i:80},
D{l:5,t:10,i:931},
D{l:134,t:10,i:1698},
D{l:133,t:0,i:522},
D{l:134,t:0,i:1120},
D{l:135,t:0,i:1529},
D{l:12,t:0,i:739},
D{l:14,t:0,i:448},
D{l:142,t:0,i:467},
D{l:11,t:10,i:526},
D{l:11,t:10,i:939},
D{l:141,t:10,i:290},
D{l:5,t:10,i:774},
D{l:6,t:10,i:1637},
D{l:6,t:10,i:1686},
D{l:134,t:10,i:1751},
D{l:6,t:0,i:1667},
D{l:135,t:0,i:2036},
D{l:7,t:10,i:1167},
D{l:11,t:10,i:934},
D{l:13,t:10,i:391},
D{l:145,t:10,i:76},
D{l:137,t:11,i:147},
D{l:6,t:10,i:260},
D{l:7,t:10,i:1484},
D{l:11,t:11,i:821},
D{l:12,t:11,i:110},
D{l:12,t:11,i:153},
D{l:18,t:11,i:41},
D{l:150,t:11,i:19},
D{l:6,t:0,i:511},
D{l:12,t:0,i:132},
D{l:134,t:10,i:573},
D{l:5,t:0,i:568},
D{l:6,t:0,i:138},
D{l:135,t:0,i:1293},
D{l:132,t:0,i:1020},
D{l:8,t:0,i:258},
D{l:9,t:0,i:208},
D{l:137,t:0,i:359},
D{l:4,t:0,i:565},
D{l:8,t:0,i:23},
D{l:136,t:0,i:827},
D{l:134,t:0,i:344},
D{l:4,t:0,i:922},
D{l:5,t:0,i:1023},
D{l:13,t:11,i:477},
D{l:14,t:11,i:120},
D{l:148,t:11,i:61},
D{l:134,t:0,i:240},
D{l:5,t:11,i:209},
D{l:6,t:11,i:30},
D{l:11,t:11,i:56},
D{l:139,t:11,i:305},
D{l:6,t:0,i:171},
D{l:7,t:0,i:1002},
D{l:7,t:0,i:1324},
D{l:9,t:0,i:415},
D{l:14,t:0,i:230},
D{l:18,t:0,i:68},
D{l:4,t:10,i:292},
D{l:4,t:10,i:736},
D{l:5,t:10,i:871},
D{l:6,t:10,i:1689},
D{l:7,t:10,i:1944},
D{l:137,t:10,i:580},
D{l:9,t:11,i:635},
D{l:139,t:11,i:559},
D{l:4,t:11,i:150},
D{l:5,t:11,i:303},
D{l:134,t:11,i:327},
D{l:6,t:10,i:63},
D{l:135,t:10,i:920},
D{l:133,t:10,i:793},
D{l:8,t:11,i:192},
D{l:10,t:11,i:78},
D{l:10,t:11,i:555},
D{l:11,t:11,i:308},
D{l:13,t:11,i:359},
D{l:147,t:11,i:95},
D{l:135,t:11,i:786},
D{l:135,t:11,i:1712},
D{l:136,t:0,i:402},
D{l:6,t:0,i:754},
D{l:6,t:11,i:1638},
D{l:7,t:11,i:79},
D{l:7,t:11,i:496},
D{l:9,t:11,i:138},
D{l:10,t:11,i:336},
D{l:11,t:11,i:12},
D{l:12,t:11,i:412},
D{l:12,t:11,i:440},
D{l:142,t:11,i:305},
D{l:4,t:0,i:716},
D{l:141,t:0,i:31},
D{l:133,t:0,i:982},
D{l:8,t:0,i:691},
D{l:8,t:0,i:731},
D{l:5,t:10,i:67},
D{l:6,t:10,i:62},
D{l:6,t:10,i:374},
D{l:135,t:10,i:1391},
D{l:9,t:10,i:790},
D{l:140,t:10,i:47},
D{l:139,t:11,i:556},
D{l:151,t:11,i:1},
D{l:7,t:11,i:204},
D{l:7,t:11,i:415},
D{l:8,t:11,i:42},
D{l:10,t:11,i:85},
D{l:11,t:11,i:33},
D{l:11,t:11,i:564},
D{l:12,t:11,i:571},
D{l:149,t:11,i:1},
D{l:8,t:0,i:888},
D{l:7,t:11,i:610},
D{l:135,t:11,i:1501},
D{l:4,t:10,i:391},
D{l:135,t:10,i:1169},
D{l:5,t:0,i:847},
D{l:9,t:0,i:840},
D{l:138,t:0,i:803},
D{l:137,t:0,i:823},
D{l:134,t:0,i:785},
D{l:8,t:0,i:152},
D{l:9,t:0,i:53},
D{l:9,t:0,i:268},
D{l:9,t:0,i:901},
D{l:10,t:0,i:518},
D{l:10,t:0,i:829},
D{l:11,t:0,i:188},
D{l:13,t:0,i:74},
D{l:14,t:0,i:46},
D{l:15,t:0,i:17},
D{l:15,t:0,i:33},
D{l:17,t:0,i:40},
D{l:18,t:0,i:36},
D{l:19,t:0,i:20},
D{l:22,t:0,i:1},
D{l:152,t:0,i:2},
D{l:4,t:11,i:3},
D{l:5,t:11,i:247},
D{l:5,t:11,i:644},
D{l:7,t:11,i:744},
D{l:7,t:11,i:1207},
D{l:7,t:11,i:1225},
D{l:7,t:11,i:1909},
D{l:146,t:11,i:147},
D{l:136,t:0,i:532},
D{l:135,t:0,i:681},
D{l:132,t:10,i:271},
D{l:140,t:0,i:314},
D{l:140,t:0,i:677},
D{l:4,t:0,i:684},
D{l:136,t:0,i:384},
D{l:5,t:11,i:285},
D{l:9,t:11,i:67},
D{l:13,t:11,i:473},
D{l:143,t:11,i:82},
D{l:4,t:10,i:253},
D{l:5,t:10,i:544},
D{l:7,t:10,i:300},
D{l:137,t:10,i:340},
D{l:7,t:0,i:110},
D{l:7,t:0,i:447},
D{l:8,t:0,i:290},
D{l:8,t:0,i:591},
D{l:9,t:0,i:382},
D{l:9,t:0,i:649},
D{l:11,t:0,i:71},
D{l:11,t:0,i:155},
D{l:11,t:0,i:313},
D{l:12,t:0,i:5},
D{l:13,t:0,i:325},
D{l:142,t:0,i:287},
D{l:134,t:0,i:1818},
D{l:136,t:0,i:1007},
D{l:138,t:0,i:321},
D{l:7,t:0,i:360},
D{l:7,t:0,i:425},
D{l:9,t:0,i:66},
D{l:9,t:0,i:278},
D{l:138,t:0,i:644},
D{l:133,t:10,i:818},
D{l:5,t:0,i:385},
D{l:5,t:10,i:541},
D{l:6,t:10,i:94},
D{l:6,t:10,i:499},
D{l:7,t:10,i:230},
D{l:139,t:10,i:321},
D{l:4,t:10,i:920},
D{l:5,t:10,i:25},
D{l:5,t:10,i:790},
D{l:6,t:10,i:457},
D{l:7,t:10,i:853},
D{l:136,t:10,i:788},
D{l:4,t:0,i:900},
D{l:133,t:0,i:861},
D{l:5,t:0,i:254},
D{l:7,t:0,i:985},
D{l:136,t:0,i:73},
D{l:7,t:0,i:1959},
D{l:136,t:0,i:683},
D{l:134,t:10,i:1765},
D{l:133,t:10,i:822},
D{l:132,t:10,i:634},
D{l:4,t:11,i:29},
D{l:6,t:11,i:532},
D{l:7,t:11,i:1628},
D{l:7,t:11,i:1648},
D{l:9,t:11,i:303},
D{l:9,t:11,i:350},
D{l:10,t:11,i:433},
D{l:11,t:11,i:97},
D{l:11,t:11,i:557},
D{l:11,t:11,i:745},
D{l:12,t:11,i:289},
D{l:12,t:11,i:335},
D{l:12,t:11,i:348},
D{l:12,t:11,i:606},
D{l:13,t:11,i:116},
D{l:13,t:11,i:233},
D{l:13,t:11,i:466},
D{l:14,t:11,i:181},
D{l:14,t:11,i:209},
D{l:14,t:11,i:232},
D{l:14,t:11,i:236},
D{l:14,t:11,i:300},
D{l:16,t:11,i:41},
D{l:148,t:11,i:97},
D{l:19,t:0,i:86},
D{l:6,t:10,i:36},
D{l:7,t:10,i:658},
D{l:136,t:10,i:454},
D{l:135,t:11,i:1692},
D{l:132,t:0,i:725},
D{l:5,t:11,i:501},
D{l:7,t:11,i:1704},
D{l:9,t:11,i:553},
D{l:11,t:11,i:520},
D{l:12,t:11,i:557},
D{l:141,t:11,i:249},
D{l:134,t:0,i:196},
D{l:133,t:0,i:831},
D{l:136,t:0,i:723},
D{l:7,t:0,i:1897},
D{l:13,t:0,i:80},
D{l:13,t:0,i:437},
D{l:145,t:0,i:74},
D{l:4,t:0,i:992},
D{l:6,t:0,i:627},
D{l:136,t:0,i:994},
D{l:135,t:11,i:1294},
D{l:132,t:10,i:104},
D{l:5,t:0,i:848},
D{l:6,t:0,i:66},
D{l:136,t:0,i:764},
D{l:4,t:0,i:36},
D{l:7,t:0,i:1387},
D{l:10,t:0,i:205},
D{l:139,t:0,i:755},
D{l:6,t:0,i:1046},
D{l:134,t:0,i:1485},
D{l:134,t:0,i:950},
D{l:132,t:0,i:887},
D{l:14,t:0,i:450},
D{l:148,t:0,i:111},
D{l:7,t:0,i:620},
D{l:7,t:0,i:831},
D{l:9,t:10,i:542},
D{l:9,t:10,i:566},
D{l:138,t:10,i:728},
D{l:6,t:0,i:165},
D{l:138,t:0,i:388},
D{l:139,t:10,i:263},
D{l:4,t:0,i:719},
D{l:135,t:0,i:155},
D{l:138,t:10,i:468},
D{l:6,t:11,i:453},
D{l:144,t:11,i:36},
D{l:134,t:11,i:129},
D{l:5,t:0,i:533},
D{l:7,t:0,i:755},
D{l:138,t:0,i:780},
D{l:134,t:0,i:1465},
D{l:4,t:0,i:353},
D{l:6,t:0,i:146},
D{l:6,t:0,i:1789},
D{l:7,t:0,i:427},
D{l:7,t:0,i:990},
D{l:7,t:0,i:1348},
D{l:9,t:0,i:665},
D{l:9,t:0,i:898},
D{l:11,t:0,i:893},
D{l:142,t:0,i:212},
D{l:7,t:10,i:87},
D{l:142,t:10,i:288},
D{l:4,t:0,i:45},
D{l:135,t:0,i:1257},
D{l:12,t:0,i:7},
D{l:7,t:10,i:988},
D{l:7,t:10,i:1939},
D{l:9,t:10,i:64},
D{l:9,t:10,i:502},
D{l:12,t:10,i:34},
D{l:13,t:10,i:12},
D{l:13,t:10,i:234},
D{l:147,t:10,i:77},
D{l:4,t:0,i:607},
D{l:5,t:11,i:60},
D{l:6,t:11,i:504},
D{l:7,t:11,i:614},
D{l:7,t:11,i:1155},
D{l:140,t:11,i:0},
D{l:135,t:10,i:141},
D{l:8,t:11,i:198},
D{l:11,t:11,i:29},
D{l:140,t:11,i:534},
D{l:140,t:0,i:65},
D{l:136,t:0,i:816},
D{l:132,t:10,i:619},
D{l:139,t:0,i:88},
D{l:5,t:10,i:246},
D{l:8,t:10,i:189},
D{l:9,t:10,i:355},
D{l:9,t:10,i:512},
D{l:10,t:10,i:124},
D{l:10,t:10,i:453},
D{l:11,t:10,i:143},
D{l:11,t:10,i:416},
D{l:11,t:10,i:859},
D{l:141,t:10,i:341},
D{l:4,t:11,i:379},
D{l:135,t:11,i:1397},
D{l:4,t:0,i:600},
D{l:137,t:0,i:621},
D{l:133,t:0,i:367},
D{l:134,t:0,i:561},
D{l:6,t:0,i:559},
D{l:134,t:0,i:1691},
D{l:6,t:0,i:585},
D{l:134,t:11,i:585},
D{l:135,t:11,i:1228},
D{l:4,t:11,i:118},
D{l:5,t:10,i:678},
D{l:6,t:11,i:274},
D{l:6,t:11,i:361},
D{l:7,t:11,i:75},
D{l:141,t:11,i:441},
D{l:135,t:11,i:1818},
D{l:137,t:11,i:841},
D{l:5,t:0,i:573},
D{l:6,t:0,i:287},
D{l:7,t:10,i:862},
D{l:7,t:10,i:1886},
D{l:138,t:10,i:179},
D{l:132,t:10,i:517},
D{l:140,t:11,i:693},
D{l:5,t:11,i:314},
D{l:6,t:11,i:221},
D{l:7,t:11,i:419},
D{l:10,t:11,i:650},
D{l:11,t:11,i:396},
D{l:12,t:11,i:156},
D{l:13,t:11,i:369},
D{l:14,t:11,i:333},
D{l:145,t:11,i:47},
D{l:140,t:10,i:540},
D{l:136,t:10,i:667},
D{l:11,t:10,i:403},
D{l:146,t:10,i:83},
D{l:6,t:0,i:672},
D{l:133,t:10,i:761},
D{l:9,t:0,i:157},
D{l:10,t:10,i:131},
D{l:140,t:10,i:72},
D{l:7,t:0,i:714},
D{l:134,t:11,i:460},
D{l:134,t:0,i:456},
D{l:133,t:0,i:925},
D{l:5,t:11,i:682},
D{l:135,t:11,i:1887},
D{l:136,t:11,i:510},
D{l:136,t:11,i:475},
D{l:133,t:11,i:1016},
D{l:9,t:0,i:19},
D{l:7,t:11,i:602},
D{l:8,t:11,i:179},
D{l:10,t:11,i:781},
D{l:140,t:11,i:126},
D{l:6,t:11,i:329},
D{l:138,t:11,i:111},
D{l:6,t:0,i:822},
D{l:134,t:0,i:1473},
D{l:144,t:11,i:86},
D{l:11,t:0,i:113},
D{l:139,t:11,i:113},
D{l:5,t:11,i:821},
D{l:134,t:11,i:1687},
D{l:133,t:10,i:449},
D{l:7,t:0,i:463},
D{l:17,t:0,i:69},
D{l:136,t:10,i:103},
D{l:7,t:10,i:2028},
D{l:138,t:10,i:641},
D{l:6,t:0,i:193},
D{l:7,t:0,i:240},
D{l:7,t:0,i:1682},
D{l:10,t:0,i:51},
D{l:10,t:0,i:640},
D{l:11,t:0,i:410},
D{l:13,t:0,i:82},
D{l:14,t:0,i:247},
D{l:14,t:0,i:331},
D{l:142,t:0,i:377},
D{l:6,t:0,i:471},
D{l:11,t:0,i:411},
D{l:142,t:0,i:2},
D{l:5,t:11,i:71},
D{l:7,t:11,i:1407},
D{l:9,t:11,i:388},
D{l:9,t:11,i:704},
D{l:10,t:11,i:261},
D{l:10,t:11,i:619},
D{l:11,t:11,i:547},
D{l:11,t:11,i:619},
D{l:143,t:11,i:157},
D{l:136,t:0,i:633},
D{l:135,t:0,i:1148},
D{l:6,t:0,i:554},
D{l:7,t:0,i:1392},
D{l:12,t:0,i:129},
D{l:7,t:10,i:1274},
D{l:7,t:10,i:1386},
D{l:7,t:11,i:2008},
D{l:9,t:11,i:337},
D{l:10,t:11,i:517},
D{l:146,t:10,i:87},
D{l:7,t:0,i:803},
D{l:8,t:0,i:542},
D{l:6,t:10,i:187},
D{l:7,t:10,i:1203},
D{l:8,t:10,i:380},
D{l:14,t:10,i:117},
D{l:149,t:10,i:28},
D{l:6,t:10,i:297},
D{l:7,t:10,i:793},
D{l:139,t:10,i:938},
D{l:8,t:0,i:438},
D{l:11,t:0,i:363},
D{l:7,t:10,i:464},
D{l:11,t:10,i:105},
D{l:12,t:10,i:231},
D{l:14,t:10,i:386},
D{l:15,t:10,i:102},
D{l:148,t:10,i:75},
D{l:5,t:11,i:16},
D{l:6,t:11,i:86},
D{l:6,t:11,i:603},
D{l:7,t:11,i:292},
D{l:7,t:11,i:561},
D{l:8,t:11,i:257},
D{l:8,t:11,i:382},
D{l:9,t:11,i:721},
D{l:9,t:11,i:778},
D{l:11,t:11,i:581},
D{l:140,t:11,i:466},
D{l:6,t:0,i:717},
D{l:4,t:11,i:486},
D{l:133,t:11,i:491},
D{l:132,t:0,i:875},
D{l:132,t:11,i:72},
D{l:6,t:11,i:265},
D{l:135,t:11,i:847},
D{l:4,t:0,i:237},
D{l:135,t:0,i:514},
D{l:6,t:0,i:392},
D{l:7,t:0,i:65},
D{l:135,t:0,i:2019},
D{l:140,t:11,i:261},
D{l:135,t:11,i:922},
D{l:137,t:11,i:404},
D{l:12,t:0,i:563},
D{l:14,t:0,i:101},
D{l:18,t:0,i:129},
D{l:7,t:10,i:1010},
D{l:11,t:10,i:733},
D{l:11,t:10,i:759},
D{l:13,t:10,i:34},
D{l:146,t:10,i:45},
D{l:7,t:10,i:1656},
D{l:9,t:10,i:369},
D{l:10,t:10,i:338},
D{l:10,t:10,i:490},
D{l:11,t:10,i:154},
D{l:11,t:10,i:545},
D{l:11,t:10,i:775},
D{l:13,t:10,i:77},
D{l:141,t:10,i:274},
D{l:4,t:0,i:444},
D{l:10,t:0,i:146},
D{l:140,t:0,i:9},
D{l:139,t:11,i:163},
D{l:7,t:0,i:1260},
D{l:135,t:0,i:1790},
D{l:9,t:0,i:222},
D{l:10,t:0,i:43},
D{l:139,t:0,i:900},
D{l:137,t:11,i:234},
D{l:138,t:0,i:971},
D{l:137,t:0,i:761},
D{l:134,t:0,i:699},
D{l:136,t:11,i:434},
D{l:6,t:0,i:1116},
D{l:7,t:0,i:1366},
D{l:5,t:10,i:20},
D{l:6,t:11,i:197},
D{l:6,t:10,i:298},
D{l:7,t:10,i:659},
D{l:8,t:11,i:205},
D{l:137,t:10,i:219},
D{l:132,t:11,i:490},
D{l:11,t:11,i:820},
D{l:150,t:11,i:51},
D{l:7,t:10,i:1440},
D{l:11,t:10,i:854},
D{l:11,t:10,i:872},
D{l:11,t:10,i:921},
D{l:12,t:10,i:551},
D{l:13,t:10,i:472},
D{l:142,t:10,i:367},
D{l:140,t:11,i:13},
D{l:132,t:0,i:829},
D{l:12,t:0,i:242},
D{l:132,t:10,i:439},
D{l:136,t:10,i:669},
D{l:6,t:0,i:593},
D{l:6,t:11,i:452},
D{l:7,t:11,i:312},
D{l:138,t:11,i:219},
D{l:4,t:11,i:333},
D{l:9,t:11,i:176},
D{l:12,t:11,i:353},
D{l:141,t:11,i:187},
D{l:7,t:0,i:36},
D{l:8,t:0,i:201},
D{l:136,t:0,i:605},
D{l:140,t:0,i:224},
D{l:132,t:10,i:233},
D{l:134,t:0,i:1430},
D{l:134,t:0,i:1806},
D{l:4,t:0,i:523},
D{l:133,t:0,i:638},
D{l:6,t:0,i:1889},
D{l:9,t:0,i:958},
D{l:9,t:0,i:971},
D{l:9,t:0,i:976},
D{l:12,t:0,i:796},
D{l:12,t:0,i:799},
D{l:12,t:0,i:808},
D{l:12,t:0,i:835},
D{l:12,t:0,i:836},
D{l:12,t:0,i:914},
D{l:12,t:0,i:946},
D{l:15,t:0,i:216},
D{l:15,t:0,i:232},
D{l:18,t:0,i:183},
D{l:18,t:0,i:187},
D{l:18,t:0,i:194},
D{l:18,t:0,i:212},
D{l:18,t:0,i:232},
D{l:149,t:0,i:49},
D{l:132,t:10,i:482},
D{l:6,t:0,i:827},
D{l:134,t:0,i:1434},
D{l:135,t:10,i:346},
D{l:134,t:0,i:2043},
D{l:6,t:0,i:242},
D{l:7,t:0,i:227},
D{l:7,t:0,i:1581},
D{l:8,t:0,i:104},
D{l:9,t:0,i:113},
D{l:9,t:0,i:220},
D{l:9,t:0,i:427},
D{l:10,t:0,i:136},
D{l:10,t:0,i:239},
D{l:11,t:0,i:579},
D{l:11,t:0,i:1023},
D{l:13,t:0,i:4},
D{l:13,t:0,i:204},
D{l:13,t:0,i:316},
D{l:148,t:0,i:86},
D{l:134,t:11,i:1685},
D{l:7,t:0,i:148},
D{l:8,t:0,i:284},
D{l:141,t:0,i:63},
D{l:142,t:0,i:10},
D{l:135,t:11,i:584},
D{l:134,t:0,i:1249},
D{l:7,t:0,i:861},
D{l:135,t:10,i:334},
D{l:5,t:10,i:795},
D{l:6,t:10,i:1741},
D{l:137,t:11,i:70},
D{l:132,t:0,i:807},
D{l:7,t:11,i:135},
D{l:8,t:11,i:7},
D{l:8,t:11,i:62},
D{l:9,t:11,i:243},
D{l:10,t:11,i:658},
D{l:10,t:11,i:697},
D{l:11,t:11,i:456},
D{l:139,t:11,i:756},
D{l:9,t:11,i:395},
D{l:138,t:11,i:79},
D{l:137,t:11,i:108},
D{l:147,t:0,i:94},
D{l:136,t:0,i:494},
D{l:135,t:11,i:631},
D{l:135,t:10,i:622},
D{l:7,t:0,i:1510},
D{l:135,t:10,i:1750},
D{l:4,t:10,i:203},
D{l:135,t:10,i:1936},
D{l:7,t:11,i:406},
D{l:7,t:11,i:459},
D{l:8,t:11,i:606},
D{l:139,t:11,i:726},
D{l:7,t:0,i:1306},
D{l:8,t:0,i:505},
D{l:9,t:0,i:482},
D{l:10,t:0,i:126},
D{l:11,t:0,i:225},
D{l:12,t:0,i:347},
D{l:12,t:0,i:449},
D{l:13,t:0,i:19},
D{l:14,t:0,i:218},
D{l:142,t:0,i:435},
D{l:5,t:0,i:268},
D{l:10,t:0,i:764},
D{l:12,t:0,i:120},
D{l:13,t:0,i:39},
D{l:145,t:0,i:127},
D{l:142,t:11,i:68},
D{l:11,t:10,i:678},
D{l:140,t:10,i:307},
D{l:12,t:11,i:268},
D{l:12,t:11,i:640},
D{l:142,t:11,i:119},
D{l:135,t:10,i:2044},
D{l:133,t:11,i:612},
D{l:4,t:11,i:372},
D{l:7,t:11,i:482},
D{l:8,t:11,i:158},
D{l:9,t:11,i:602},
D{l:9,t:11,i:615},
D{l:10,t:11,i:245},
D{l:10,t:11,i:678},
D{l:10,t:11,i:744},
D{l:11,t:11,i:248},
D{l:139,t:11,i:806},
D{l:7,t:10,i:311},
D{l:9,t:10,i:308},
D{l:140,t:10,i:255},
D{l:4,t:0,i:384},
D{l:135,t:0,i:1022},
D{l:5,t:11,i:854},
D{l:135,t:11,i:1991},
D{l:135,t:10,i:1266},
D{l:4,t:10,i:400},
D{l:5,t:10,i:267},
D{l:135,t:10,i:232},
D{l:135,t:0,i:1703},
D{l:9,t:0,i:159},
D{l:11,t:0,i:661},
D{l:140,t:0,i:603},
D{l:4,t:0,i:964},
D{l:14,t:0,i:438},
D{l:14,t:0,i:444},
D{l:14,t:0,i:456},
D{l:22,t:0,i:60},
D{l:22,t:0,i:63},
D{l:9,t:11,i:106},
D{l:9,t:11,i:163},
D{l:9,t:11,i:296},
D{l:10,t:11,i:167},
D{l:10,t:11,i:172},
D{l:10,t:11,i:777},
D{l:139,t:11,i:16},
D{l:136,t:0,i:583},
D{l:132,t:0,i:515},
D{l:8,t:0,i:632},
D{l:8,t:0,i:697},
D{l:137,t:0,i:854},
D{l:5,t:11,i:195},
D{l:135,t:11,i:1685},
D{l:6,t:0,i:1123},
D{l:134,t:0,i:1365},
D{l:134,t:11,i:328},
D{l:7,t:11,i:1997},
D{l:8,t:11,i:730},
D{l:139,t:11,i:1006},
D{l:4,t:0,i:136},
D{l:133,t:0,i:551},
D{l:134,t:0,i:1782},
D{l:7,t:0,i:1287},
D{l:9,t:0,i:44},
D{l:10,t:0,i:552},
D{l:10,t:0,i:642},
D{l:11,t:0,i:839},
D{l:12,t:0,i:274},
D{l:12,t:0,i:275},
D{l:12,t:0,i:372},
D{l:13,t:0,i:91},
D{l:142,t:0,i:125},
D{l:5,t:11,i:751},
D{l:11,t:11,i:797},
D{l:140,t:11,i:203},
D{l:133,t:0,i:732},
D{l:7,t:0,i:679},
D{l:8,t:0,i:313},
D{l:4,t:10,i:100},
D{l:135,t:11,i:821},
D{l:10,t:0,i:361},
D{l:142,t:0,i:316},
D{l:134,t:0,i:595},
D{l:6,t:0,i:147},
D{l:7,t:0,i:886},
D{l:9,t:0,i:753},
D{l:138,t:0,i:268},
D{l:5,t:10,i:362},
D{l:5,t:10,i:443},
D{l:6,t:10,i:318},
D{l:7,t:10,i:1019},
D{l:139,t:10,i:623},
D{l:5,t:10,i:463},
D{l:136,t:10,i:296},
D{l:4,t:10,i:454},
D{l:5,t:11,i:950},
D{l:5,t:11,i:994},
D{l:134,t:11,i:351},
D{l:138,t:0,i:137},
D{l:5,t:10,i:48},
D{l:5,t:10,i:404},
D{l:6,t:10,i:557},
D{l:7,t:10,i:458},
D{l:8,t:10,i:597},
D{l:10,t:10,i:455},
D{l:10,t:10,i:606},
D{l:11,t:10,i:49},
D{l:11,t:10,i:548},
D{l:12,t:10,i:476},
D{l:13,t:10,i:18},
D{l:141,t:10,i:450},
D{l:133,t:0,i:414},
D{l:135,t:0,i:1762},
D{l:5,t:11,i:421},
D{l:135,t:11,i:47},
D{l:5,t:10,i:442},
D{l:135,t:10,i:1984},
D{l:134,t:0,i:599},
D{l:134,t:0,i:1749},
D{l:134,t:0,i:1627},
D{l:4,t:0,i:488},
D{l:132,t:11,i:350},
D{l:137,t:11,i:751},
D{l:132,t:0,i:83},
D{l:140,t:0,i:676},
D{l:133,t:11,i:967},
D{l:7,t:0,i:1639},
D{l:5,t:10,i:55},
D{l:140,t:10,i:161},
D{l:4,t:11,i:473},
D{l:7,t:11,i:623},
D{l:8,t:11,i:808},
D{l:9,t:11,i:871},
D{l:9,t:11,i:893},
D{l:11,t:11,i:38},
D{l:11,t:11,i:431},
D{l:12,t:11,i:112},
D{l:12,t:11,i:217},
D{l:12,t:11,i:243},
D{l:12,t:11,i:562},
D{l:12,t:11,i:683},
D{l:13,t:11,i:141},
D{l:13,t:11,i:197},
D{l:13,t:11,i:227},
D{l:13,t:11,i:406},
D{l:13,t:11,i:487},
D{l:14,t:11,i:156},
D{l:14,t:11,i:203},
D{l:14,t:11,i:224},
D{l:14,t:11,i:256},
D{l:18,t:11,i:58},
D{l:150,t:11,i:0},
D{l:133,t:10,i:450},
D{l:7,t:11,i:736},
D{l:139,t:11,i:264},
D{l:134,t:0,i:278},
D{l:4,t:11,i:222},
D{l:7,t:11,i:286},
D{l:136,t:11,i:629},
D{l:135,t:10,i:869},
D{l:140,t:0,i:97},
D{l:144,t:0,i:14},
D{l:134,t:0,i:1085},
D{l:4,t:10,i:213},
D{l:7,t:10,i:223},
D{l:136,t:10,i:80},
D{l:7,t:0,i:388},
D{l:7,t:0,i:644},
D{l:139,t:0,i:781},
D{l:132,t:0,i:849},
D{l:7,t:0,i:229},
D{l:8,t:0,i:59},
D{l:9,t:0,i:190},
D{l:10,t:0,i:378},
D{l:140,t:0,i:191},
D{l:7,t:10,i:381},
D{l:7,t:10,i:806},
D{l:7,t:10,i:820},
D{l:8,t:10,i:354},
D{l:8,t:10,i:437},
D{l:8,t:10,i:787},
D{l:9,t:10,i:657},
D{l:10,t:10,i:58},
D{l:10,t:10,i:339},
D{l:10,t:10,i:749},
D{l:11,t:10,i:914},
D{l:12,t:10,i:162},
D{l:13,t:10,i:75},
D{l:14,t:10,i:106},
D{l:14,t:10,i:198},
D{l:14,t:10,i:320},
D{l:14,t:10,i:413},
D{l:146,t:10,i:43},
D{l:141,t:11,i:306},
D{l:136,t:10,i:747},
D{l:134,t:0,i:1115},
D{l:16,t:0,i:94},
D{l:16,t:0,i:108},
D{l:136,t:11,i:146},
D{l:6,t:0,i:700},
D{l:6,t:0,i:817},
D{l:134,t:0,i:1002},
D{l:133,t:10,i:692},
D{l:4,t:11,i:465},
D{l:135,t:11,i:1663},
D{l:134,t:10,i:191},
D{l:6,t:0,i:1414},
D{l:135,t:11,i:913},
D{l:132,t:0,i:660},
D{l:7,t:0,i:1035},
D{l:138,t:0,i:737},
D{l:6,t:10,i:162},
D{l:7,t:10,i:1960},
D{l:136,t:10,i:831},
D{l:132,t:10,i:706},
D{l:7,t:0,i:690},
D{l:9,t:0,i:217},
D{l:9,t:0,i:587},
D{l:140,t:0,i:521},
D{l:138,t:10,i:426},
D{l:135,t:10,i:1235},
D{l:6,t:11,i:82},
D{l:7,t:11,i:138},
D{l:7,t:11,i:517},
D{l:9,t:11,i:673},
D{l:139,t:11,i:238},
D{l:138,t:0,i:272},
D{l:5,t:11,i:495},
D{l:7,t:11,i:834},
D{l:9,t:11,i:733},
D{l:139,t:11,i:378},
D{l:134,t:0,i:1744},
D{l:132,t:0,i:1011},
D{l:7,t:11,i:828},
D{l:142,t:11,i:116},
D{l:4,t:0,i:733},
D{l:9,t:0,i:194},
D{l:10,t:0,i:92},
D{l:11,t:0,i:198},
D{l:12,t:0,i:84},
D{l:13,t:0,i:128},
D{l:133,t:11,i:559},
D{l:10,t:0,i:57},
D{l:10,t:0,i:277},
D{l:6,t:11,i:21},
D{l:6,t:11,i:1737},
D{l:7,t:11,i:1444},
D{l:136,t:11,i:224},
D{l:4,t:10,i:204},
D{l:137,t:10,i:902},
D{l:136,t:10,i:833},
D{l:11,t:0,i:348},
D{l:12,t:0,i:99},
D{l:18,t:0,i:1},
D{l:18,t:0,i:11},
D{l:19,t:0,i:4},
D{l:7,t:10,i:366},
D{l:9,t:10,i:287},
D{l:12,t:10,i:199},
D{l:12,t:10,i:556},
D{l:140,t:10,i:577},
D{l:6,t:0,i:1981},
D{l:136,t:0,i:936},
D{l:21,t:0,i:33},
D{l:150,t:0,i:40},
D{l:5,t:11,i:519},
D{l:138,t:11,i:204},
D{l:5,t:10,i:356},
D{l:135,t:10,i:224},
D{l:134,t:0,i:775},
D{l:135,t:0,i:306},
D{l:7,t:10,i:630},
D{l:9,t:10,i:567},
D{l:11,t:10,i:150},
D{l:11,t:10,i:444},
D{l:141,t:10,i:119},
D{l:5,t:0,i:979},
D{l:134,t:10,i:539},
D{l:133,t:0,i:611},
D{l:4,t:11,i:402},
D{l:135,t:11,i:1679},
D{l:5,t:0,i:178},
D{l:7,t:11,i:2},
D{l:8,t:11,i:323},
D{l:136,t:11,i:479},
D{l:5,t:11,i:59},
D{l:135,t:11,i:672},
D{l:4,t:0,i:1010},
D{l:6,t:0,i:1969},
D{l:138,t:11,i:237},
D{l:133,t:11,i:412},
D{l:146,t:11,i:34},
D{l:7,t:11,i:1740},
D{l:146,t:11,i:48},
D{l:134,t:0,i:664},
D{l:139,t:10,i:814},
D{l:4,t:11,i:85},
D{l:135,t:11,i:549},
D{l:133,t:11,i:94},
D{l:133,t:11,i:457},
D{l:132,t:0,i:390},
D{l:134,t:0,i:1510},
D{l:4,t:10,i:235},
D{l:135,t:10,i:255},
D{l:4,t:10,i:194},
D{l:5,t:10,i:584},
D{l:6,t:11,i:11},
D{l:6,t:10,i:384},
D{l:7,t:11,i:187},
D{l:7,t:10,i:583},
D{l:10,t:10,i:761},
D{l:11,t:10,i:760},
D{l:139,t:10,i:851},
D{l:4,t:11,i:522},
D{l:139,t:11,i:802},
D{l:135,t:0,i:493},
D{l:10,t:11,i:776},
D{l:13,t:11,i:345},
D{l:142,t:11,i:425},
D{l:146,t:0,i:37},
D{l:4,t:11,i:52},
D{l:135,t:11,i:661},
D{l:134,t:0,i:724},
D{l:134,t:0,i:829},
D{l:133,t:11,i:520},
D{l:133,t:10,i:562},
D{l:4,t:11,i:281},
D{l:5,t:11,i:38},
D{l:7,t:11,i:194},
D{l:7,t:11,i:668},
D{l:7,t:11,i:1893},
D{l:137,t:11,i:397},
D{l:5,t:10,i:191},
D{l:137,t:10,i:271},
D{l:7,t:0,i:1537},
D{l:14,t:0,i:96},
D{l:143,t:0,i:73},
D{l:5,t:0,i:473},
D{l:11,t:0,i:168},
D{l:4,t:10,i:470},
D{l:6,t:10,i:153},
D{l:7,t:10,i:1503},
D{l:7,t:10,i:1923},
D{l:10,t:10,i:701},
D{l:11,t:10,i:132},
D{l:11,t:10,i:227},
D{l:11,t:10,i:320},
D{l:11,t:10,i:436},
D{l:11,t:10,i:525},
D{l:11,t:10,i:855},
D{l:12,t:10,i:41},
D{l:12,t:10,i:286},
D{l:13,t:10,i:103},
D{l:13,t:10,i:284},
D{l:14,t:10,i:255},
D{l:14,t:10,i:262},
D{l:15,t:10,i:117},
D{l:143,t:10,i:127},
D{l:133,t:0,i:105},
D{l:5,t:0,i:438},
D{l:9,t:0,i:694},
D{l:12,t:0,i:627},
D{l:141,t:0,i:210},
D{l:133,t:10,i:327},
D{l:6,t:10,i:552},
D{l:7,t:10,i:1754},
D{l:137,t:10,i:604},
D{l:134,t:0,i:1256},
D{l:152,t:0,i:11},
D{l:5,t:11,i:448},
D{l:11,t:11,i:98},
D{l:139,t:11,i:524},
D{l:7,t:0,i:1626},
D{l:5,t:10,i:80},
D{l:6,t:10,i:405},
D{l:7,t:10,i:403},
D{l:7,t:10,i:1502},
D{l:8,t:10,i:456},
D{l:9,t:10,i:487},
D{l:9,t:10,i:853},
D{l:9,t:10,i:889},
D{l:10,t:10,i:309},
D{l:11,t:10,i:721},
D{l:11,t:10,i:994},
D{l:12,t:10,i:430},
D{l:13,t:10,i:165},
D{l:14,t:11,i:16},
D{l:146,t:11,i:44},
D{l:132,t:0,i:779},
D{l:8,t:0,i:25},
D{l:138,t:0,i:826},
D{l:4,t:10,i:453},
D{l:5,t:10,i:887},
D{l:6,t:10,i:535},
D{l:8,t:10,i:6},
D{l:8,t:10,i:543},
D{l:136,t:10,i:826},
D{l:137,t:11,i:461},
D{l:140,t:11,i:632},
D{l:132,t:0,i:308},
D{l:135,t:0,i:741},
D{l:132,t:0,i:671},
D{l:7,t:0,i:150},
D{l:8,t:0,i:649},
D{l:136,t:0,i:1020},
D{l:9,t:0,i:99},
D{l:6,t:11,i:336},
D{l:8,t:11,i:552},
D{l:9,t:11,i:285},
D{l:10,t:11,i:99},
D{l:139,t:11,i:568},
D{l:134,t:0,i:521},
D{l:5,t:0,i:339},
D{l:14,t:0,i:3},
D{l:15,t:0,i:41},
D{l:15,t:0,i:166},
D{l:147,t:0,i:66},
D{l:6,t:11,i:423},
D{l:7,t:11,i:665},
D{l:7,t:11,i:1210},
D{l:9,t:11,i:218},
D{l:141,t:11,i:222},
D{l:6,t:0,i:543},
D{l:5,t:10,i:101},
D{l:5,t:11,i:256},
D{l:6,t:10,i:88},
D{l:7,t:10,i:1677},
D{l:9,t:10,i:100},
D{l:10,t:10,i:677},
D{l:14,t:10,i:169},
D{l:14,t:10,i:302},
D{l:14,t:10,i:313},
D{l:15,t:10,i:48},
D{l:143,t:10,i:84},
D{l:4,t:10,i:310},
D{l:7,t:10,i:708},
D{l:7,t:10,i:996},
D{l:9,t:10,i:795},
D{l:10,t:10,i:390},
D{l:10,t:10,i:733},
D{l:11,t:10,i:451},
D{l:12,t:10,i:249},
D{l:14,t:10,i:115},
D{l:14,t:10,i:286},
D{l:143,t:10,i:100},
D{l:133,t:10,i:587},
D{l:13,t:11,i:417},
D{l:14,t:11,i:129},
D{l:143,t:11,i:15},
D{l:134,t:0,i:1358},
D{l:136,t:11,i:554},
D{l:132,t:10,i:498},
D{l:7,t:10,i:217},
D{l:8,t:10,i:140},
D{l:138,t:10,i:610},
D{l:135,t:11,i:989},
D{l:135,t:11,i:634},
D{l:6,t:0,i:155},
D{l:140,t:0,i:234},
D{l:135,t:11,i:462},
D{l:132,t:11,i:618},
D{l:134,t:0,i:1628},
D{l:132,t:0,i:766},
D{l:4,t:11,i:339},
D{l:5,t:10,i:905},
D{l:135,t:11,i:259},
D{l:135,t:0,i:829},
D{l:4,t:11,i:759},
D{l:141,t:11,i:169},
D{l:7,t:0,i:1445},
D{l:4,t:10,i:456},
D{l:7,t:10,i:358},
D{l:7,t:10,i:1637},
D{l:8,t:10,i:643},
D{l:139,t:10,i:483},
D{l:5,t:0,i:486},
D{l:135,t:0,i:1349},
D{l:5,t:11,i:688},
D{l:135,t:11,i:712},
D{l:7,t:0,i:1635},
D{l:8,t:0,i:17},
D{l:10,t:0,i:217},
D{l:10,t:0,i:295},
D{l:12,t:0,i:2},
D{l:140,t:11,i:2},
D{l:138,t:0,i:558},
D{l:150,t:10,i:56},
D{l:4,t:11,i:278},
D{l:5,t:11,i:465},
D{l:135,t:11,i:1367},
D{l:136,t:11,i:482},
D{l:133,t:10,i:535},
D{l:6,t:0,i:1362},
D{l:6,t:0,i:1461},
D{l:10,t:11,i:274},
D{l:10,t:11,i:625},
D{l:139,t:11,i:530},
D{l:5,t:0,i:599},
D{l:5,t:11,i:336},
D{l:6,t:11,i:341},
D{l:6,t:11,i:478},
D{l:6,t:11,i:1763},
D{l:136,t:11,i:386},
D{l:7,t:10,i:1748},
D{l:137,t:11,i:151},
D{l:134,t:0,i:1376},
D{l:133,t:10,i:539},
D{l:135,t:11,i:73},
D{l:135,t:11,i:1971},
D{l:139,t:11,i:283},
D{l:9,t:0,i:93},
D{l:139,t:0,i:474},
D{l:6,t:10,i:91},
D{l:135,t:10,i:435},
D{l:6,t:0,i:447},
D{l:5,t:11,i:396},
D{l:134,t:11,i:501},
D{l:4,t:10,i:16},
D{l:5,t:10,i:316},
D{l:5,t:10,i:842},
D{l:6,t:10,i:370},
D{l:6,t:10,i:1778},
D{l:8,t:10,i:166},
D{l:11,t:10,i:812},
D{l:12,t:10,i:206},
D{l:12,t:10,i:351},
D{l:14,t:10,i:418},
D{l:16,t:10,i:15},
D{l:16,t:10,i:34},
D{l:18,t:10,i:3},
D{l:19,t:10,i:3},
D{l:19,t:10,i:7},
D{l:20,t:10,i:4},
D{l:149,t:10,i:21},
D{l:7,t:0,i:577},
D{l:7,t:0,i:1432},
D{l:9,t:0,i:475},
D{l:9,t:0,i:505},
D{l:9,t:0,i:526},
D{l:9,t:0,i:609},
D{l:9,t:0,i:689},
D{l:9,t:0,i:726},
D{l:9,t:0,i:735},
D{l:9,t:0,i:738},
D{l:10,t:0,i:556},
D{l:10,t:0,i:674},
D{l:10,t:0,i:684},
D{l:11,t:0,i:89},
D{l:11,t:0,i:202},
D{l:11,t:0,i:272},
D{l:11,t:0,i:380},
D{l:11,t:0,i:415},
D{l:11,t:0,i:505},
D{l:11,t:0,i:537},
D{l:11,t:0,i:550},
D{l:11,t:0,i:562},
D{l:11,t:0,i:640},
D{l:11,t:0,i:667},
D{l:11,t:0,i:688},
D{l:11,t:0,i:847},
D{l:11,t:0,i:927},
D{l:11,t:0,i:930},
D{l:11,t:0,i:940},
D{l:12,t:0,i:144},
D{l:12,t:0,i:325},
D{l:12,t:0,i:329},
D{l:12,t:0,i:389},
D{l:12,t:0,i:403},
D{l:12,t:0,i:451},
D{l:12,t:0,i:515},
D{l:12,t:0,i:604},
D{l:12,t:0,i:616},
D{l:12,t:0,i:626},
D{l:13,t:0,i:66},
D{l:13,t:0,i:131},
D{l:13,t:0,i:167},
D{l:13,t:0,i:236},
D{l:13,t:0,i:368},
D{l:13,t:0,i:411},
D{l:13,t:0,i:434},
D{l:13,t:0,i:453},
D{l:13,t:0,i:461},
D{l:13,t:0,i:474},
D{l:14,t:0,i:59},
D{l:14,t:0,i:60},
D{l:14,t:0,i:139},
D{l:14,t:0,i:152},
D{l:14,t:0,i:276},
D{l:14,t:0,i:353},
D{l:14,t:0,i:402},
D{l:15,t:0,i:28},
D{l:15,t:0,i:81},
D{l:15,t:0,i:123},
D{l:15,t:0,i:152},
D{l:18,t:0,i:136},
D{l:148,t:0,i:88},
D{l:4,t:11,i:929},
D{l:133,t:11,i:799},
D{l:136,t:11,i:46},
D{l:142,t:0,i:307},
D{l:4,t:0,i:609},
D{l:7,t:0,i:756},
D{l:9,t:0,i:544},
D{l:11,t:0,i:413},
D{l:144,t:0,i:25},
D{l:10,t:0,i:687},
D{l:7,t:10,i:619},
D{l:10,t:10,i:547},
D{l:11,t:10,i:122},
D{l:140,t:10,i:601},
D{l:4,t:0,i:930},
D{l:133,t:0,i:947},
D{l:133,t:0,i:939},
D{l:142,t:0,i:21},
D{l:4,t:11,i:892},
D{l:133,t:11,i:770},
D{l:133,t:0,i:962},
D{l:5,t:0,i:651},
D{l:8,t:0,i:170},
D{l:9,t:0,i:61},
D{l:9,t:0,i:63},
D{l:10,t:0,i:23},
D{l:10,t:0,i:37},
D{l:10,t:0,i:834},
D{l:11,t:0,i:4},
D{l:11,t:0,i:187},
D{l:11,t:0,i:281},
D{l:11,t:0,i:503},
D{l:11,t:0,i:677},
D{l:12,t:0,i:96},
D{l:12,t:0,i:130},
D{l:12,t:0,i:244},
D{l:14,t:0,i:5},
D{l:14,t:0,i:40},
D{l:14,t:0,i:162},
D{l:14,t:0,i:202},
D{l:146,t:0,i:133},
D{l:4,t:0,i:406},
D{l:5,t:0,i:579},
D{l:12,t:0,i:492},
D{l:150,t:0,i:15},
D{l:135,t:11,i:158},
D{l:135,t:0,i:597},
D{l:132,t:0,i:981},
D{l:132,t:10,i:888},
D{l:4,t:10,i:149},
D{l:138,t:10,i:368},
D{l:132,t:0,i:545},
D{l:4,t:10,i:154},
D{l:7,t:10,i:1134},
D{l:136,t:10,i:105},
D{l:135,t:11,i:2001},
D{l:134,t:0,i:1558},
D{l:4,t:10,i:31},
D{l:6,t:10,i:429},
D{l:7,t:10,i:962},
D{l:9,t:10,i:458},
D{l:139,t:10,i:691},
D{l:132,t:10,i:312},
D{l:135,t:10,i:1642},
D{l:6,t:0,i:17},
D{l:6,t:0,i:1304},
D{l:7,t:0,i:16},
D{l:7,t:0,i:1001},
D{l:9,t:0,i:886},
D{l:10,t:0,i:489},
D{l:10,t:0,i:800},
D{l:11,t:0,i:782},
D{l:12,t:0,i:320},
D{l:13,t:0,i:467},
D{l:14,t:0,i:145},
D{l:14,t:0,i:387},
D{l:143,t:0,i:119},
D{l:135,t:0,i:1982},
D{l:17,t:0,i:17},
D{l:7,t:11,i:1461},
D{l:140,t:11,i:91},
D{l:4,t:10,i:236},
D{l:132,t:11,i:602},
D{l:138,t:0,i:907},
D{l:136,t:0,i:110},
D{l:7,t:0,i:272},
D{l:19,t:0,i:53},
D{l:5,t:10,i:836},
D{l:5,t:10,i:857},
D{l:134,t:10,i:1680},
D{l:5,t:0,i:458},
D{l:7,t:11,i:1218},
D{l:136,t:11,i:303},
D{l:7,t:0,i:1983},
D{l:8,t:0,i:0},
D{l:8,t:0,i:171},
D{l:9,t:0,i:120},
D{l:9,t:0,i:732},
D{l:10,t:0,i:473},
D{l:11,t:0,i:656},
D{l:11,t:0,i:998},
D{l:18,t:0,i:0},
D{l:18,t:0,i:2},
D{l:19,t:0,i:21},
D{l:10,t:10,i:68},
D{l:139,t:10,i:494},
D{l:137,t:11,i:662},
D{l:4,t:11,i:13},
D{l:5,t:11,i:567},
D{l:7,t:11,i:1498},
D{l:9,t:11,i:124},
D{l:11,t:11,i:521},
D{l:140,t:11,i:405},
D{l:4,t:10,i:81},
D{l:139,t:10,i:867},
D{l:135,t:11,i:1006},
D{l:7,t:11,i:800},
D{l:7,t:11,i:1783},
D{l:138,t:11,i:12},
D{l:9,t:0,i:295},
D{l:10,t:0,i:443},
D{l:5,t:10,i:282},
D{l:8,t:10,i:650},
D{l:137,t:10,i:907},
D{l:132,t:11,i:735},
D{l:4,t:11,i:170},
D{l:4,t:10,i:775},
D{l:135,t:11,i:323},
D{l:6,t:0,i:1844},
D{l:10,t:0,i:924},
D{l:11,t:11,i:844},
D{l:12,t:11,i:104},
D{l:140,t:11,i:625},
D{l:5,t:11,i:304},
D{l:7,t:11,i:1403},
D{l:140,t:11,i:498},
D{l:134,t:0,i:1232},
D{l:4,t:0,i:519},
D{l:10,t:0,i:70},
D{l:12,t:0,i:26},
D{l:14,t:0,i:17},
D{l:14,t:0,i:178},
D{l:15,t:0,i:34},
D{l:149,t:0,i:12},
D{l:132,t:0,i:993},
D{l:4,t:11,i:148},
D{l:133,t:11,i:742},
D{l:6,t:0,i:31},
D{l:7,t:0,i:491},
D{l:7,t:0,i:530},
D{l:8,t:0,i:592},
D{l:11,t:0,i:53},
D{l:11,t:0,i:779},
D{l:12,t:0,i:167},
D{l:12,t:0,i:411},
D{l:14,t:0,i:14},
D{l:14,t:0,i:136},
D{l:15,t:0,i:72},
D{l:16,t:0,i:17},
D{l:144,t:0,i:72},
D{l:133,t:0,i:907},
D{l:134,t:0,i:733},
D{l:133,t:11,i:111},
D{l:4,t:10,i:71},
D{l:5,t:10,i:376},
D{l:7,t:10,i:119},
D{l:138,t:10,i:665},
D{l:136,t:0,i:55},
D{l:8,t:0,i:430},
D{l:136,t:11,i:430},
D{l:4,t:0,i:208},
D{l:5,t:0,i:106},
D{l:6,t:0,i:531},
D{l:8,t:0,i:408},
D{l:9,t:0,i:188},
D{l:138,t:0,i:572},
D{l:12,t:0,i:56},
D{l:11,t:10,i:827},
D{l:14,t:10,i:34},
D{l:143,t:10,i:148},
D{l:134,t:0,i:1693},
D{l:133,t:11,i:444},
D{l:132,t:10,i:479},
D{l:140,t:0,i:441},
D{l:9,t:0,i:449},
D{l:10,t:0,i:192},
D{l:138,t:0,i:740},
D{l:134,t:0,i:928},
D{l:4,t:0,i:241},
D{l:7,t:10,i:607},
D{l:136,t:10,i:99},
D{l:8,t:11,i:123},
D{l:15,t:11,i:6},
D{l:144,t:11,i:7},
D{l:6,t:11,i:285},
D{l:8,t:11,i:654},
D{l:11,t:11,i:749},
D{l:12,t:11,i:190},
D{l:12,t:11,i:327},
D{l:13,t:11,i:120},
D{l:13,t:11,i:121},
D{l:13,t:11,i:327},
D{l:15,t:11,i:47},
D{l:146,t:11,i:40},
D{l:4,t:10,i:41},
D{l:5,t:10,i:74},
D{l:7,t:10,i:1627},
D{l:11,t:10,i:871},
D{l:140,t:10,i:619},
D{l:7,t:0,i:1525},
D{l:11,t:10,i:329},
D{l:11,t:10,i:965},
D{l:12,t:10,i:241},
D{l:14,t:10,i:354},
D{l:15,t:10,i:22},
D{l:148,t:10,i:63},
D{l:132,t:0,i:259},
D{l:135,t:11,i:183},
D{l:9,t:10,i:209},
D{l:137,t:10,i:300},
D{l:5,t:11,i:937},
D{l:135,t:11,i:100},
D{l:133,t:10,i:98},
D{l:4,t:0,i:173},
D{l:5,t:0,i:312},
D{l:5,t:0,i:512},
D{l:135,t:0,i:1285},
D{l:141,t:0,i:185},
D{l:7,t:0,i:1603},
D{l:7,t:0,i:1691},
D{l:9,t:0,i:464},
D{l:11,t:0,i:195},
D{l:12,t:0,i:279},
D{l:12,t:0,i:448},
D{l:14,t:0,i:11},
D{l:147,t:0,i:102},
D{l:135,t:0,i:1113},
D{l:133,t:10,i:984},
D{l:4,t:0,i:452},
D{l:5,t:0,i:583},
D{l:135,t:0,i:720},
D{l:4,t:0,i:547},
D{l:5,t:0,i:817},
D{l:6,t:0,i:433},
D{l:7,t:0,i:593},
D{l:7,t:0,i:1378},
D{l:8,t:0,i:161},
D{l:9,t:0,i:284},
D{l:10,t:0,i:313},
D{l:139,t:0,i:886},
D{l:8,t:0,i:722},
D{l:4,t:10,i:182},
D{l:6,t:10,i:205},
D{l:135,t:10,i:220},
D{l:150,t:0,i:13},
D{l:4,t:10,i:42},
D{l:9,t:10,i:205},
D{l:9,t:10,i:786},
D{l:138,t:10,i:659},
D{l:6,t:0,i:289},
D{l:7,t:0,i:1670},
D{l:12,t:0,i:57},
D{l:151,t:0,i:4},
D{l:132,t:10,i:635},
D{l:14,t:0,i:43},
D{l:146,t:0,i:21},
D{l:139,t:10,i:533},
D{l:135,t:0,i:1694},
D{l:8,t:0,i:420},
D{l:139,t:0,i:193},
D{l:135,t:0,i:409},
D{l:132,t:10,i:371},
D{l:4,t:10,i:272},
D{l:135,t:10,i:836},
D{l:5,t:10,i:825},
D{l:134,t:10,i:1640},
D{l:5,t:11,i:251},
D{l:5,t:11,i:956},
D{l:8,t:11,i:268},
D{l:9,t:11,i:214},
D{l:146,t:11,i:142},
D{l:138,t:0,i:308},
D{l:6,t:0,i:1863},
D{l:141,t:11,i:37},
D{l:137,t:10,i:879},
D{l:7,t:10,i:317},
D{l:135,t:10,i:569},
D{l:132,t:11,i:294},
D{l:134,t:0,i:790},
D{l:5,t:0,i:1002},
D{l:136,t:0,i:745},
D{l:5,t:11,i:346},
D{l:5,t:11,i:711},
D{l:136,t:11,i:390},
D{l:135,t:0,i:289},
D{l:5,t:0,i:504},
D{l:11,t:0,i:68},
D{l:137,t:10,i:307},
D{l:4,t:0,i:239},
D{l:6,t:0,i:477},
D{l:7,t:0,i:1607},
D{l:139,t:0,i:617},
D{l:149,t:0,i:13},
D{l:133,t:0,i:609},
D{l:133,t:11,i:624},
D{l:5,t:11,i:783},
D{l:7,t:11,i:1998},
D{l:135,t:11,i:2047},
D{l:133,t:10,i:525},
D{l:132,t:0,i:367},
D{l:132,t:11,i:594},
D{l:6,t:0,i:528},
D{l:133,t:10,i:493},
D{l:4,t:10,i:174},
D{l:135,t:10,i:911},
D{l:8,t:10,i:417},
D{l:137,t:10,i:782},
D{l:132,t:0,i:694},
D{l:7,t:0,i:548},
D{l:137,t:0,i:58},
D{l:4,t:10,i:32},
D{l:5,t:10,i:215},
D{l:6,t:10,i:269},
D{l:7,t:10,i:1782},
D{l:7,t:10,i:1892},
D{l:10,t:10,i:16},
D{l:11,t:10,i:822},
D{l:11,t:10,i:954},
D{l:141,t:10,i:481},
D{l:140,t:0,i:687},
D{l:7,t:0,i:1749},
D{l:136,t:10,i:477},
D{l:132,t:11,i:569},
D{l:133,t:10,i:308},
D{l:135,t:10,i:1088},
D{l:4,t:0,i:661},
D{l:138,t:0,i:1004},
D{l:5,t:11,i:37},
D{l:6,t:11,i:39},
D{l:6,t:11,i:451},
D{l:7,t:11,i:218},
D{l:7,t:11,i:667},
D{l:7,t:11,i:1166},
D{l:7,t:11,i:1687},
D{l:8,t:11,i:662},
D{l:144,t:11,i:2},
D{l:9,t:0,i:445},
D{l:12,t:0,i:53},
D{l:13,t:0,i:492},
D{l:5,t:10,i:126},
D{l:8,t:10,i:297},
D{l:9,t:10,i:366},
D{l:140,t:10,i:374},
D{l:7,t:10,i:1551},
D{l:139,t:10,i:361},
D{l:148,t:0,i:74},
D{l:134,t:11,i:508},
D{l:135,t:0,i:213},
D{l:132,t:10,i:175},
D{l:132,t:10,i:685},
D{l:6,t:0,i:760},
D{l:6,t:0,i:834},
D{l:134,t:0,i:1248},
D{l:7,t:11,i:453},
D{l:7,t:11,i:635},
D{l:7,t:11,i:796},
D{l:8,t:11,i:331},
D{l:9,t:11,i:328},
D{l:9,t:11,i:330},
D{l:9,t:11,i:865},
D{l:10,t:11,i:119},
D{l:10,t:11,i:235},
D{l:11,t:11,i:111},
D{l:11,t:11,i:129},
D{l:11,t:11,i:240},
D{l:12,t:11,i:31},
D{l:12,t:11,i:66},
D{l:12,t:11,i:222},
D{l:12,t:11,i:269},
D{l:12,t:11,i:599},
D{l:12,t:11,i:689},
D{l:13,t:11,i:186},
D{l:13,t:11,i:364},
D{l:142,t:11,i:345},
D{l:7,t:0,i:1672},
D{l:139,t:0,i:189},
D{l:133,t:10,i:797},
D{l:133,t:10,i:565},
D{l:6,t:0,i:1548},
D{l:6,t:11,i:98},
D{l:7,t:11,i:585},
D{l:135,t:11,i:702},
D{l:9,t:0,i:968},
D{l:15,t:0,i:192},
D{l:149,t:0,i:56},
D{l:4,t:10,i:252},
D{l:6,t:11,i:37},
D{l:7,t:11,i:299},
D{l:7,t:10,i:1068},
D{l:7,t:11,i:1666},
D{l:8,t:11,i:195},
D{l:8,t:11,i:316},
D{l:9,t:11,i:178},
D{l:9,t:11,i:276},
D{l:9,t:11,i:339},
D{l:9,t:11,i:536},
D{l:10,t:11,i:102},
D{l:10,t:11,i:362},
D{l:10,t:10,i:434},
D{l:10,t:11,i:785},
D{l:11,t:11,i:55},
D{l:11,t:11,i:149},
D{l:11,t:10,i:228},
D{l:11,t:10,i:426},
D{l:11,t:11,i:773},
D{l:13,t:10,i:231},
D{l:13,t:11,i:416},
D{l:13,t:11,i:419},
D{l:14,t:11,i:38},
D{l:14,t:11,i:41},
D{l:14,t:11,i:210},
D{l:18,t:10,i:106},
D{l:148,t:10,i:87},
D{l:4,t:0,i:751},
D{l:11,t:0,i:390},
D{l:140,t:0,i:32},
D{l:4,t:0,i:409},
D{l:133,t:0,i:78},
D{l:11,t:11,i:458},
D{l:12,t:11,i:15},
D{l:140,t:11,i:432},
D{l:7,t:0,i:1602},
D{l:10,t:0,i:257},
D{l:10,t:0,i:698},
D{l:11,t:0,i:544},
D{l:11,t:0,i:585},
D{l:12,t:0,i:212},
D{l:13,t:0,i:307},
D{l:5,t:10,i:231},
D{l:7,t:10,i:601},
D{l:9,t:10,i:277},
D{l:9,t:10,i:674},
D{l:10,t:10,i:178},
D{l:10,t:10,i:418},
D{l:10,t:10,i:509},
D{l:11,t:10,i:531},
D{l:12,t:10,i:113},
D{l:12,t:10,i:475},
D{l:13,t:10,i:99},
D{l:142,t:10,i:428},
D{l:6,t:0,i:473},
D{l:145,t:0,i:105},
D{l:6,t:0,i:1949},
D{l:15,t:0,i:156},
D{l:133,t:11,i:645},
D{l:7,t:10,i:1591},
D{l:144,t:10,i:43},
D{l:135,t:0,i:1779},
D{l:135,t:10,i:1683},
D{l:4,t:11,i:290},
D{l:135,t:11,i:1356},
D{l:134,t:0,i:763},
D{l:6,t:11,i:70},
D{l:7,t:11,i:1292},
D{l:10,t:11,i:762},
D{l:139,t:11,i:288},
D{l:142,t:0,i:29},
D{l:140,t:11,i:428},
D{l:7,t:0,i:883},
D{l:7,t:11,i:131},
D{l:7,t:11,i:422},
D{l:8,t:11,i:210},
D{l:140,t:11,i:573},
D{l:134,t:0,i:488},
D{l:4,t:10,i:399},
D{l:5,t:10,i:119},
D{l:5,t:10,i:494},
D{l:7,t:10,i:751},
D{l:137,t:10,i:556},
D{l:133,t:0,i:617},
D{l:132,t:11,i:936},
D{l:139,t:0,i:50},
D{l:7,t:0,i:1518},
D{l:139,t:0,i:694},
D{l:137,t:0,i:785},
D{l:4,t:0,i:546},
D{l:135,t:0,i:2042},
D{l:7,t:11,i:716},
D{l:13,t:11,i:97},
D{l:141,t:11,i:251},
D{l:132,t:11,i:653},
D{l:145,t:0,i:22},
D{l:134,t:0,i:1016},
D{l:4,t:0,i:313},
D{l:133,t:0,i:577},
D{l:136,t:11,i:657},
D{l:8,t:0,i:184},
D{l:141,t:0,i:433},
D{l:135,t:0,i:935},
D{l:6,t:0,i:720},
D{l:9,t:0,i:114},
D{l:146,t:11,i:80},
D{l:12,t:0,i:186},
D{l:12,t:0,i:292},
D{l:14,t:0,i:100},
D{l:18,t:0,i:70},
D{l:7,t:10,i:594},
D{l:7,t:10,i:851},
D{l:7,t:10,i:1858},
D{l:9,t:10,i:411},
D{l:9,t:10,i:574},
D{l:9,t:10,i:666},
D{l:9,t:10,i:737},
D{l:10,t:10,i:346},
D{l:10,t:10,i:712},
D{l:11,t:10,i:246},
D{l:11,t:10,i:432},
D{l:11,t:10,i:517},
D{l:11,t:10,i:647},
D{l:11,t:10,i:679},
D{l:11,t:10,i:727},
D{l:12,t:10,i:304},
D{l:12,t:10,i:305},
D{l:12,t:10,i:323},
D{l:12,t:10,i:483},
D{l:12,t:10,i:572},
D{l:12,t:10,i:593},
D{l:12,t:10,i:602},
D{l:13,t:10,i:95},
D{l:13,t:10,i:101},
D{l:13,t:10,i:171},
D{l:13,t:10,i:315},
D{l:13,t:10,i:378},
D{l:13,t:10,i:425},
D{l:13,t:10,i:475},
D{l:14,t:10,i:63},
D{l:14,t:10,i:380},
D{l:14,t:10,i:384},
D{l:15,t:10,i:133},
D{l:18,t:10,i:112},
D{l:148,t:10,i:72},
D{l:135,t:10,i:1093},
D{l:135,t:11,i:1836},
D{l:132,t:10,i:679},
D{l:137,t:10,i:203},
D{l:11,t:0,i:402},
D{l:12,t:0,i:109},
D{l:12,t:0,i:431},
D{l:13,t:0,i:179},
D{l:13,t:0,i:206},
D{l:14,t:0,i:217},
D{l:16,t:0,i:3},
D{l:148,t:0,i:53},
D{l:7,t:11,i:1368},
D{l:8,t:11,i:232},
D{l:8,t:11,i:361},
D{l:10,t:11,i:682},
D{l:138,t:11,i:742},
D{l:137,t:10,i:714},
D{l:5,t:0,i:886},
D{l:6,t:0,i:46},
D{l:6,t:0,i:1790},
D{l:7,t:0,i:14},
D{l:7,t:0,i:732},
D{l:7,t:0,i:1654},
D{l:8,t:0,i:95},
D{l:8,t:0,i:327},
D{l:8,t:0,i:616},
D{l:9,t:0,i:892},
D{l:10,t:0,i:598},
D{l:10,t:0,i:769},
D{l:11,t:0,i:134},
D{l:11,t:0,i:747},
D{l:12,t:0,i:378},
D{l:14,t:0,i:97},
D{l:137,t:11,i:534},
D{l:4,t:0,i:969},
D{l:136,t:10,i:825},
D{l:137,t:11,i:27},
D{l:6,t:0,i:727},
D{l:142,t:11,i:12},
D{l:133,t:0,i:1021},
D{l:134,t:0,i:1190},
D{l:134,t:11,i:1657},
D{l:5,t:10,i:143},
D{l:5,t:10,i:769},
D{l:6,t:10,i:1760},
D{l:7,t:10,i:682},
D{l:7,t:10,i:1992},
D{l:136,t:10,i:736},
D{l:132,t:0,i:153},
D{l:135,t:11,i:127},
D{l:133,t:0,i:798},
D{l:132,t:0,i:587},
D{l:6,t:0,i:598},
D{l:7,t:0,i:42},
D{l:8,t:0,i:695},
D{l:10,t:0,i:212},
D{l:11,t:0,i:158},
D{l:14,t:0,i:196},
D{l:145,t:0,i:85},
D{l:133,t:10,i:860},
D{l:6,t:0,i:1929},
D{l:134,t:0,i:1933},
D{l:5,t:0,i:957},
D{l:5,t:0,i:1008},
D{l:9,t:0,i:577},
D{l:12,t:0,i:141},
D{l:6,t:10,i:422},
D{l:7,t:10,i:0},
D{l:7,t:10,i:1544},
D{l:8,t:11,i:364},
D{l:11,t:10,i:990},
D{l:12,t:10,i:453},
D{l:13,t:10,i:47},
D{l:141,t:10,i:266},
D{l:134,t:0,i:1319},
D{l:4,t:0,i:129},
D{l:135,t:0,i:465},
D{l:7,t:0,i:470},
D{l:7,t:0,i:1057},
D{l:7,t:0,i:1201},
D{l:9,t:0,i:755},
D{l:11,t:0,i:906},
D{l:140,t:0,i:527},
D{l:7,t:0,i:908},
D{l:146,t:0,i:7},
D{l:5,t:0,i:148},
D{l:136,t:0,i:450},
D{l:5,t:10,i:515},
D{l:137,t:10,i:131},
D{l:7,t:10,i:1605},
D{l:11,t:10,i:962},
D{l:146,t:10,i:139},
D{l:132,t:10,i:646},
D{l:134,t:0,i:1166},
D{l:4,t:10,i:396},
D{l:7,t:10,i:728},
D{l:9,t:10,i:117},
D{l:13,t:10,i:202},
D{l:148,t:10,i:51},
D{l:6,t:10,i:121},
D{l:6,t:10,i:124},
D{l:6,t:10,i:357},
D{l:7,t:10,i:1138},
D{l:7,t:10,i:1295},
D{l:8,t:10,i:162},
D{l:139,t:10,i:655},
D{l:14,t:0,i:374},
D{l:142,t:11,i:374},
D{l:138,t:0,i:253},
D{l:139,t:0,i:1003},
D{l:5,t:11,i:909},
D{l:9,t:11,i:849},
D{l:138,t:11,i:805},
D{l:133,t:10,i:237},
D{l:7,t:11,i:525},
D{l:7,t:11,i:1579},
D{l:8,t:11,i:497},
D{l:136,t:11,i:573},
D{l:137,t:0,i:46},
D{l:132,t:0,i:879},
D{l:134,t:0,i:806},
D{l:135,t:0,i:1868},
D{l:6,t:0,i:1837},
D{l:134,t:0,i:1846},
D{l:6,t:0,i:730},
D{l:134,t:0,i:881},
D{l:7,t:0,i:965},
D{l:7,t:0,i:1460},
D{l:7,t:0,i:1604},
D{l:7,t:11,i:193},
D{l:7,t:11,i:397},
D{l:7,t:11,i:1105},
D{l:8,t:11,i:124},
D{l:8,t:11,i:619},
D{l:9,t:11,i:305},
D{l:10,t:11,i:264},
D{l:11,t:11,i:40},
D{l:12,t:11,i:349},
D{l:13,t:11,i:134},
D{l:13,t:11,i:295},
D{l:14,t:11,i:155},
D{l:15,t:11,i:120},
D{l:146,t:11,i:105},
D{l:136,t:0,i:506},
D{l:143,t:0,i:10},
D{l:4,t:11,i:262},
D{l:7,t:11,i:342},
D{l:7,t:10,i:571},
D{l:7,t:10,i:1877},
D{l:10,t:10,i:366},
D{l:141,t:11,i:23},
D{l:133,t:11,i:641},
D{l:10,t:0,i:22},
D{l:9,t:10,i:513},
D{l:10,t:10,i:39},
D{l:12,t:10,i:122},
D{l:140,t:10,i:187},
D{l:135,t:11,i:1431},
D{l:150,t:11,i:49},
D{l:4,t:11,i:99},
D{l:6,t:11,i:250},
D{l:6,t:11,i:346},
D{l:8,t:11,i:127},
D{l:138,t:11,i:81},
D{l:6,t:0,i:2014},
D{l:8,t:0,i:928},
D{l:10,t:0,i:960},
D{l:10,t:0,i:979},
D{l:140,t:0,i:996},
D{l:134,t:0,i:296},
D{l:132,t:11,i:915},
D{l:5,t:11,i:75},
D{l:9,t:11,i:517},
D{l:10,t:11,i:470},
D{l:12,t:11,i:155},
D{l:141,t:11,i:224},
D{l:137,t:10,i:873},
D{l:4,t:0,i:854},
D{l:140,t:11,i:18},
D{l:134,t:0,i:587},
D{l:7,t:10,i:107},
D{l:7,t:10,i:838},
D{l:8,t:10,i:550},
D{l:138,t:10,i:401},
D{l:11,t:0,i:636},
D{l:15,t:0,i:145},
D{l:17,t:0,i:34},
D{l:19,t:0,i:50},
D{l:23,t:0,i:20},
D{l:11,t:10,i:588},
D{l:11,t:10,i:864},
D{l:11,t:10,i:968},
D{l:143,t:10,i:160},
D{l:135,t:11,i:216},
D{l:7,t:0,i:982},
D{l:10,t:0,i:32},
D{l:143,t:0,i:56},
D{l:133,t:10,i:768},
D{l:133,t:11,i:954},
D{l:6,t:11,i:304},
D{l:7,t:11,i:1114},
D{l:8,t:11,i:418},
D{l:10,t:11,i:345},
D{l:11,t:11,i:341},
D{l:11,t:11,i:675},
D{l:141,t:11,i:40},
D{l:9,t:11,i:410},
D{l:139,t:11,i:425},
D{l:136,t:0,i:941},
D{l:5,t:0,i:435},
D{l:132,t:10,i:894},
D{l:5,t:0,i:85},
D{l:6,t:0,i:419},
D{l:7,t:0,i:134},
D{l:7,t:0,i:305},
D{l:7,t:0,i:361},
D{l:7,t:0,i:1337},
D{l:8,t:0,i:71},
D{l:140,t:0,i:519},
D{l:140,t:0,i:688},
D{l:135,t:0,i:740},
D{l:5,t:0,i:691},
D{l:7,t:0,i:345},
D{l:9,t:0,i:94},
D{l:140,t:0,i:169},
D{l:5,t:0,i:183},
D{l:6,t:0,i:582},
D{l:10,t:0,i:679},
D{l:140,t:0,i:435},
D{l:134,t:11,i:14},
D{l:6,t:0,i:945},
D{l:135,t:0,i:511},
D{l:134,t:11,i:1708},
D{l:5,t:11,i:113},
D{l:6,t:11,i:243},
D{l:7,t:11,i:1865},
D{l:11,t:11,i:161},
D{l:16,t:11,i:37},
D{l:145,t:11,i:99},
D{l:132,t:11,i:274},
D{l:137,t:0,i:539},
D{l:7,t:0,i:1993},
D{l:8,t:0,i:684},
D{l:134,t:10,i:272},
D{l:6,t:0,i:659},
D{l:134,t:0,i:982},
D{l:4,t:10,i:9},
D{l:5,t:10,i:128},
D{l:7,t:10,i:368},
D{l:11,t:10,i:480},
D{l:148,t:10,i:3},
D{l:134,t:0,i:583},
D{l:132,t:0,i:803},
D{l:133,t:0,i:704},
D{l:4,t:0,i:179},
D{l:5,t:0,i:198},
D{l:133,t:0,i:697},
D{l:7,t:0,i:347},
D{l:7,t:0,i:971},
D{l:8,t:0,i:181},
D{l:10,t:0,i:711},
D{l:135,t:11,i:166},
D{l:136,t:10,i:682},
D{l:4,t:10,i:2},
D{l:7,t:10,i:545},
D{l:7,t:10,i:894},
D{l:136,t:11,i:521},
D{l:135,t:0,i:481},
D{l:132,t:0,i:243},
D{l:5,t:0,i:203},
D{l:7,t:0,i:19},
D{l:7,t:0,i:71},
D{l:7,t:0,i:113},
D{l:10,t:0,i:405},
D{l:11,t:0,i:357},
D{l:142,t:0,i:240},
D{l:5,t:11,i:725},
D{l:5,t:11,i:727},
D{l:135,t:11,i:1811},
D{l:6,t:0,i:826},
D{l:137,t:11,i:304},
D{l:7,t:0,i:1450},
D{l:139,t:0,i:99},
D{l:133,t:11,i:654},
D{l:134,t:0,i:492},
D{l:5,t:0,i:134},
D{l:6,t:0,i:408},
D{l:6,t:0,i:495},
D{l:7,t:0,i:1593},
D{l:6,t:11,i:273},
D{l:10,t:11,i:188},
D{l:13,t:11,i:377},
D{l:146,t:11,i:77},
D{l:9,t:10,i:769},
D{l:140,t:10,i:185},
D{l:135,t:11,i:410},
D{l:142,t:0,i:4},
D{l:4,t:0,i:665},
D{l:134,t:11,i:1785},
D{l:4,t:0,i:248},
D{l:7,t:0,i:137},
D{l:137,t:0,i:349},
D{l:5,t:10,i:530},
D{l:142,t:10,i:113},
D{l:7,t:0,i:1270},
D{l:139,t:0,i:612},
D{l:132,t:11,i:780},
D{l:5,t:0,i:371},
D{l:135,t:0,i:563},
D{l:135,t:0,i:826},
D{l:6,t:0,i:1535},
D{l:23,t:0,i:21},
D{l:151,t:0,i:23},
D{l:4,t:0,i:374},
D{l:7,t:0,i:547},
D{l:7,t:0,i:1700},
D{l:7,t:0,i:1833},
D{l:139,t:0,i:858},
D{l:133,t:10,i:556},
D{l:7,t:11,i:612},
D{l:8,t:11,i:545},
D{l:8,t:11,i:568},
D{l:8,t:11,i:642},
D{l:9,t:11,i:717},
D{l:10,t:11,i:541},
D{l:10,t:11,i:763},
D{l:11,t:11,i:449},
D{l:12,t:11,i:489},
D{l:13,t:11,i:153},
D{l:13,t:11,i:296},
D{l:14,t:11,i:138},
D{l:14,t:11,i:392},
D{l:15,t:11,i:50},
D{l:16,t:11,i:6},
D{l:16,t:11,i:12},
D{l:148,t:11,i:9},
D{l:9,t:0,i:311},
D{l:141,t:0,i:42},
D{l:8,t:10,i:16},
D{l:140,t:10,i:568},
D{l:6,t:0,i:1968},
D{l:6,t:0,i:2027},
D{l:138,t:0,i:991},
D{l:6,t:0,i:1647},
D{l:7,t:0,i:1552},
D{l:7,t:0,i:2010},
D{l:9,t:0,i:494},
D{l:137,t:0,i:509},
D{l:133,t:11,i:948},
D{l:6,t:10,i:186},
D{l:137,t:10,i:426},
D{l:134,t:0,i:769},
D{l:134,t:0,i:642},
D{l:132,t:10,i:585},
D{l:6,t:0,i:123},
D{l:7,t:0,i:214},
D{l:9,t:0,i:728},
D{l:10,t:0,i:157},
D{l:11,t:0,i:346},
D{l:11,t:0,i:662},
D{l:143,t:0,i:106},
D{l:142,t:11,i:381},
D{l:135,t:0,i:1435},
D{l:4,t:11,i:532},
D{l:5,t:11,i:706},
D{l:135,t:11,i:662},
D{l:5,t:11,i:837},
D{l:134,t:11,i:1651},
D{l:4,t:10,i:93},
D{l:5,t:10,i:252},
D{l:6,t:10,i:229},
D{l:7,t:10,i:291},
D{l:9,t:10,i:550},
D{l:139,t:10,i:644},
D{l:148,t:0,i:79},
D{l:137,t:10,i:749},
D{l:134,t:0,i:1425},
D{l:137,t:10,i:162},
D{l:4,t:11,i:362},
D{l:7,t:11,i:52},
D{l:7,t:11,i:303},
D{l:140,t:11,i:166},
D{l:132,t:10,i:381},
D{l:4,t:11,i:330},
D{l:7,t:11,i:933},
D{l:7,t:11,i:2012},
D{l:136,t:11,i:292},
D{l:135,t:11,i:767},
D{l:4,t:0,i:707},
D{l:5,t:0,i:588},
D{l:6,t:0,i:393},
D{l:13,t:0,i:106},
D{l:18,t:0,i:49},
D{l:147,t:0,i:41},
D{l:6,t:0,i:211},
D{l:7,t:0,i:1690},
D{l:11,t:0,i:486},
D{l:140,t:0,i:369},
D{l:137,t:11,i:883},
D{l:4,t:11,i:703},
D{l:135,t:11,i:207},
D{l:4,t:0,i:187},
D{l:5,t:0,i:184},
D{l:5,t:0,i:690},
D{l:7,t:0,i:1869},
D{l:10,t:0,i:756},
D{l:139,t:0,i:783},
D{l:132,t:11,i:571},
D{l:134,t:0,i:1382},
D{l:5,t:0,i:175},
D{l:6,t:10,i:77},
D{l:6,t:10,i:157},
D{l:7,t:10,i:974},
D{l:7,t:10,i:1301},
D{l:7,t:10,i:1339},
D{l:7,t:10,i:1490},
D{l:7,t:10,i:1873},
D{l:137,t:10,i:628},
D{l:134,t:0,i:1493},
D{l:5,t:11,i:873},
D{l:133,t:11,i:960},
D{l:134,t:0,i:1007},
D{l:12,t:11,i:93},
D{l:12,t:11,i:501},
D{l:13,t:11,i:362},
D{l:14,t:11,i:151},
D{l:15,t:11,i:40},
D{l:15,t:11,i:59},
D{l:16,t:11,i:46},
D{l:17,t:11,i:25},
D{l:18,t:11,i:14},
D{l:18,t:11,i:134},
D{l:19,t:11,i:25},
D{l:19,t:11,i:69},
D{l:20,t:11,i:16},
D{l:20,t:11,i:19},
D{l:20,t:11,i:66},
D{l:21,t:11,i:23},
D{l:21,t:11,i:25},
D{l:150,t:11,i:42},
D{l:11,t:10,i:919},
D{l:141,t:10,i:409},
D{l:134,t:0,i:219},
D{l:5,t:0,i:582},
D{l:6,t:0,i:1646},
D{l:7,t:0,i:99},
D{l:7,t:0,i:1962},
D{l:7,t:0,i:1986},
D{l:8,t:0,i:515},
D{l:8,t:0,i:773},
D{l:9,t:0,i:23},
D{l:9,t:0,i:491},
D{l:12,t:0,i:620},
D{l:142,t:0,i:93},
D{l:133,t:0,i:851},
D{l:5,t:11,i:33},
D{l:134,t:11,i:470},
D{l:135,t:11,i:1291},
D{l:134,t:0,i:1278},
D{l:135,t:11,i:1882},
D{l:135,t:10,i:1489},
D{l:132,t:0,i:1000},
D{l:138,t:0,i:982},
D{l:8,t:0,i:762},
D{l:8,t:0,i:812},
D{l:137,t:0,i:910},
D{l:6,t:11,i:47},
D{l:7,t:11,i:90},
D{l:7,t:11,i:664},
D{l:7,t:11,i:830},
D{l:7,t:11,i:1380},
D{l:7,t:11,i:2025},
D{l:8,t:11,i:448},
D{l:136,t:11,i:828},
D{l:4,t:0,i:98},
D{l:4,t:0,i:940},
D{l:6,t:0,i:1819},
D{l:6,t:0,i:1834},
D{l:6,t:0,i:1841},
D{l:7,t:0,i:1365},
D{l:8,t:0,i:859},
D{l:8,t:0,i:897},
D{l:8,t:0,i:918},
D{l:9,t:0,i:422},
D{l:9,t:0,i:670},
D{l:10,t:0,i:775},
D{l:10,t:0,i:894},
D{l:10,t:0,i:909},
D{l:10,t:0,i:910},
D{l:10,t:0,i:935},
D{l:11,t:0,i:210},
D{l:12,t:0,i:750},
D{l:12,t:0,i:755},
D{l:13,t:0,i:26},
D{l:13,t:0,i:457},
D{l:13,t:0,i:476},
D{l:16,t:0,i:100},
D{l:16,t:0,i:109},
D{l:18,t:0,i:173},
D{l:18,t:0,i:175},
D{l:8,t:10,i:398},
D{l:9,t:10,i:681},
D{l:139,t:10,i:632},
D{l:9,t:11,i:417},
D{l:137,t:11,i:493},
D{l:136,t:10,i:645},
D{l:138,t:0,i:906},
D{l:134,t:0,i:1730},
D{l:134,t:10,i:20},
D{l:133,t:11,i:1019},
D{l:134,t:0,i:1185},
D{l:10,t:0,i:40},
D{l:136,t:10,i:769},
D{l:9,t:0,i:147},
D{l:134,t:11,i:208},
D{l:140,t:0,i:650},
D{l:5,t:0,i:209},
D{l:6,t:0,i:30},
D{l:11,t:0,i:56},
D{l:139,t:0,i:305},
D{l:132,t:0,i:553},
D{l:138,t:11,i:344},
D{l:6,t:11,i:68},
D{l:7,t:11,i:398},
D{l:7,t:11,i:448},
D{l:7,t:11,i:1629},
D{l:7,t:11,i:1813},
D{l:8,t:11,i:387},
D{l:8,t:11,i:442},
D{l:9,t:11,i:710},
D{l:10,t:11,i:282},
D{l:138,t:11,i:722},
D{l:5,t:0,i:597},
D{l:14,t:0,i:20},
D{l:142,t:11,i:20},
D{l:135,t:0,i:1614},
D{l:135,t:10,i:1757},
D{l:4,t:0,i:150},
D{l:5,t:0,i:303},
D{l:6,t:0,i:327},
D{l:135,t:10,i:937},
D{l:16,t:0,i:49},
D{l:7,t:10,i:1652},
D{l:144,t:11,i:49},
D{l:8,t:0,i:192},
D{l:10,t:0,i:78},
D{l:141,t:0,i:359},
D{l:135,t:0,i:786},
D{l:143,t:0,i:134},
D{l:6,t:0,i:1638},
D{l:7,t:0,i:79},
D{l:7,t:0,i:496},
D{l:9,t:0,i:138},
D{l:10,t:0,i:336},
D{l:11,t:0,i:12},
D{l:12,t:0,i:412},
D{l:12,t:0,i:440},
D{l:142,t:0,i:305},
D{l:136,t:11,i:491},
D{l:4,t:10,i:579},
D{l:5,t:10,i:226},
D{l:5,t:10,i:323},
D{l:135,t:10,i:960},
D{l:7,t:0,i:204},
D{l:7,t:0,i:415},
D{l:8,t:0,i:42},
D{l:10,t:0,i:85},
D{l:139,t:0,i:564},
D{l:132,t:0,i:614},
D{l:4,t:11,i:403},
D{l:5,t:11,i:441},
D{l:7,t:11,i:450},
D{l:11,t:11,i:101},
D{l:12,t:11,i:193},
D{l:141,t:11,i:430},
D{l:135,t:11,i:1927},
D{l:135,t:11,i:1330},
D{l:4,t:0,i:3},
D{l:5,t:0,i:247},
D{l:5,t:0,i:644},
D{l:7,t:0,i:744},
D{l:7,t:0,i:1207},
D{l:7,t:0,i:1225},
D{l:7,t:0,i:1909},
D{l:146,t:0,i:147},
D{l:136,t:0,i:942},
D{l:4,t:0,i:1019},
D{l:134,t:0,i:2023},
D{l:5,t:11,i:679},
D{l:133,t:10,i:973},
D{l:5,t:0,i:285},
D{l:9,t:0,i:67},
D{l:13,t:0,i:473},
D{l:143,t:0,i:82},
D{l:7,t:11,i:328},
D{l:137,t:11,i:326},
D{l:151,t:0,i:8},
D{l:6,t:10,i:135},
D{l:135,t:10,i:1176},
D{l:135,t:11,i:1128},
D{l:134,t:0,i:1309},
D{l:135,t:11,i:1796},
D{l:135,t:10,i:314},
D{l:4,t:11,i:574},
D{l:7,t:11,i:350},
D{l:7,t:11,i:1024},
D{l:8,t:11,i:338},
D{l:9,t:11,i:677},
D{l:10,t:11,i:808},
D{l:139,t:11,i:508},
D{l:7,t:11,i:818},
D{l:17,t:11,i:14},
D{l:17,t:11,i:45},
D{l:18,t:11,i:75},
D{l:148,t:11,i:18},
D{l:146,t:10,i:4},
D{l:135,t:11,i:1081},
D{l:4,t:0,i:29},
D{l:6,t:0,i:532},
D{l:7,t:0,i:1628},
D{l:7,t:0,i:1648},
D{l:9,t:0,i:350},
D{l:10,t:0,i:433},
D{l:11,t:0,i:97},
D{l:11,t:0,i:557},
D{l:11,t:0,i:745},
D{l:12,t:0,i:289},
D{l:12,t:0,i:335},
D{l:12,t:0,i:348},
D{l:12,t:0,i:606},
D{l:13,t:0,i:116},
D{l:13,t:0,i:233},
D{l:13,t:0,i:466},
D{l:14,t:0,i:181},
D{l:14,t:0,i:209},
D{l:14,t:0,i:232},
D{l:14,t:0,i:236},
D{l:14,t:0,i:300},
D{l:16,t:0,i:41},
D{l:148,t:0,i:97},
D{l:7,t:0,i:318},
D{l:6,t:10,i:281},
D{l:8,t:10,i:282},
D{l:8,t:10,i:480},
D{l:8,t:10,i:499},
D{l:9,t:10,i:198},
D{l:10,t:10,i:143},
D{l:10,t:10,i:169},
D{l:10,t:10,i:211},
D{l:10,t:10,i:417},
D{l:10,t:10,i:574},
D{l:11,t:10,i:147},
D{l:11,t:10,i:395},
D{l:12,t:10,i:75},
D{l:12,t:10,i:407},
D{l:12,t:10,i:608},
D{l:13,t:10,i:500},
D{l:142,t:10,i:251},
D{l:135,t:11,i:1676},
D{l:135,t:11,i:2037},
D{l:135,t:0,i:1692},
D{l:5,t:0,i:501},
D{l:7,t:0,i:1704},
D{l:9,t:0,i:553},
D{l:11,t:0,i:520},
D{l:12,t:0,i:557},
D{l:141,t:0,i:249},
D{l:6,t:0,i:1527},
D{l:14,t:0,i:324},
D{l:15,t:0,i:55},
D{l:15,t:0,i:80},
D{l:14,t:11,i:324},
D{l:15,t:11,i:55},
D{l:143,t:11,i:80},
D{l:135,t:10,i:1776},
D{l:8,t:0,i:988},
D{l:137,t:11,i:297},
D{l:132,t:10,i:419},
D{l:142,t:0,i:223},
D{l:139,t:11,i:234},
D{l:7,t:0,i:1123},
D{l:12,t:0,i:508},
D{l:14,t:0,i:102},
D{l:14,t:0,i:226},
D{l:144,t:0,i:57},
D{l:4,t:10,i:138},
D{l:7,t:10,i:1012},
D{l:7,t:10,i:1280},
D{l:137,t:10,i:76},
D{l:7,t:0,i:1764},
D{l:5,t:10,i:29},
D{l:140,t:10,i:638},
D{l:134,t:0,i:2015},
D{l:134,t:0,i:1599},
D{l:138,t:11,i:56},
D{l:6,t:11,i:306},
D{l:7,t:11,i:1140},
D{l:7,t:11,i:1340},
D{l:8,t:11,i:133},
D{l:138,t:11,i:449},
D{l:139,t:11,i:1011},
D{l:6,t:10,i:1710},
D{l:135,t:10,i:2038},
D{l:7,t:11,i:1763},
D{l:140,t:11,i:310},
D{l:6,t:0,i:129},
D{l:4,t:10,i:17},
D{l:5,t:10,i:23},
D{l:7,t:10,i:995},
D{l:11,t:10,i:383},
D{l:11,t:10,i:437},
D{l:12,t:10,i:460},
D{l:140,t:10,i:532},
D{l:5,t:11,i:329},
D{l:136,t:11,i:260},
D{l:133,t:10,i:862},
D{l:132,t:0,i:534},
D{l:6,t:0,i:811},
D{l:135,t:0,i:626},
D{l:132,t:11,i:657},
D{l:4,t:0,i:25},
D{l:5,t:0,i:60},
D{l:6,t:0,i:504},
D{l:7,t:0,i:614},
D{l:7,t:0,i:1155},
D{l:12,t:0,i:0},
D{l:152,t:11,i:7},
D{l:7,t:0,i:1248},
D{l:11,t:0,i:621},
D{l:139,t:0,i:702},
D{l:137,t:0,i:321},
D{l:8,t:10,i:70},
D{l:12,t:10,i:171},
D{l:141,t:10,i:272},
D{l:10,t:10,i:233},
D{l:139,t:10,i:76},
D{l:4,t:0,i:379},
D{l:7,t:0,i:1397},
D{l:134,t:10,i:442},
D{l:5,t:11,i:66},
D{l:7,t:11,i:1896},
D{l:136,t:11,i:288},
D{l:134,t:11,i:1643},
D{l:134,t:10,i:1709},
D{l:4,t:11,i:21},
D{l:5,t:11,i:91},
D{l:5,t:11,i:570},
D{l:5,t:11,i:648},
D{l:5,t:11,i:750},
D{l:5,t:11,i:781},
D{l:6,t:11,i:54},
D{l:6,t:11,i:112},
D{l:6,t:11,i:402},
D{l:6,t:11,i:1732},
D{l:7,t:11,i:315},
D{l:7,t:11,i:749},
D{l:7,t:11,i:1347},
D{l:7,t:11,i:1900},
D{l:9,t:11,i:78},
D{l:9,t:11,i:508},
D{l:10,t:11,i:611},
D{l:11,t:11,i:510},
D{l:11,t:11,i:728},
D{l:13,t:11,i:36},
D{l:14,t:11,i:39},
D{l:16,t:11,i:83},
D{l:17,t:11,i:124},
D{l:148,t:11,i:30},
D{l:4,t:0,i:118},
D{l:6,t:0,i:274},
D{l:6,t:0,i:361},
D{l:7,t:0,i:75},
D{l:141,t:0,i:441},
D{l:10,t:11,i:322},
D{l:10,t:11,i:719},
D{l:139,t:11,i:407},
D{l:147,t:10,i:119},
D{l:12,t:11,i:549},
D{l:14,t:11,i:67},
D{l:147,t:11,i:60},
D{l:11,t:10,i:69},
D{l:12,t:10,i:105},
D{l:12,t:10,i:117},
D{l:13,t:10,i:213},
D{l:14,t:10,i:13},
D{l:14,t:10,i:62},
D{l:14,t:10,i:177},
D{l:14,t:10,i:421},
D{l:15,t:10,i:19},
D{l:146,t:10,i:141},
D{l:9,t:0,i:841},
D{l:137,t:10,i:309},
D{l:7,t:10,i:608},
D{l:7,t:10,i:976},
D{l:8,t:11,i:125},
D{l:8,t:11,i:369},
D{l:8,t:11,i:524},
D{l:9,t:10,i:146},
D{l:10,t:10,i:206},
D{l:10,t:11,i:486},
D{l:10,t:10,i:596},
D{l:11,t:11,i:13},
D{l:11,t:11,i:381},
D{l:11,t:11,i:736},
D{l:11,t:11,i:766},
D{l:11,t:11,i:845},
D{l:13,t:11,i:114},
D{l:13,t:10,i:218},
D{l:13,t:11,i:292},
D{l:14,t:11,i:47},
D{l:142,t:10,i:153},
D{l:12,t:0,i:693},
D{l:135,t:11,i:759},
D{l:5,t:0,i:314},
D{l:6,t:0,i:221},
D{l:7,t:0,i:419},
D{l:10,t:0,i:650},
D{l:11,t:0,i:396},
D{l:12,t:0,i:156},
D{l:13,t:0,i:369},
D{l:14,t:0,i:333},
D{l:145,t:0,i:47},
D{l:6,t:11,i:1684},
D{l:6,t:11,i:1731},
D{l:7,t:11,i:356},
D{l:7,t:11,i:1932},
D{l:8,t:11,i:54},
D{l:8,t:11,i:221},
D{l:9,t:11,i:225},
D{l:9,t:11,i:356},
D{l:10,t:11,i:77},
D{l:10,t:11,i:446},
D{l:10,t:11,i:731},
D{l:12,t:11,i:404},
D{l:141,t:11,i:491},
D{l:132,t:11,i:375},
D{l:4,t:10,i:518},
D{l:135,t:10,i:1136},
D{l:4,t:0,i:913},
D{l:4,t:11,i:411},
D{l:11,t:11,i:643},
D{l:140,t:11,i:115},
D{l:4,t:11,i:80},
D{l:133,t:11,i:44},
D{l:8,t:10,i:689},
D{l:137,t:10,i:863},
D{l:138,t:0,i:880},
D{l:4,t:10,i:18},
D{l:7,t:10,i:145},
D{l:7,t:10,i:444},
D{l:7,t:10,i:1278},
D{l:8,t:10,i:49},
D{l:8,t:10,i:400},
D{l:9,t:10,i:71},
D{l:9,t:10,i:250},
D{l:10,t:10,i:459},
D{l:12,t:10,i:160},
D{l:144,t:10,i:24},
D{l:136,t:0,i:475},
D{l:5,t:0,i:1016},
D{l:5,t:11,i:299},
D{l:135,t:11,i:1083},
D{l:7,t:0,i:602},
D{l:8,t:0,i:179},
D{l:10,t:0,i:781},
D{l:140,t:0,i:126},
D{l:6,t:0,i:329},
D{l:138,t:0,i:111},
D{l:135,t:0,i:1864},
D{l:4,t:11,i:219},
D{l:7,t:11,i:1761},
D{l:137,t:11,i:86},
D{l:6,t:0,i:1888},
D{l:6,t:0,i:1892},
D{l:6,t:0,i:1901},
D{l:6,t:0,i:1904},
D{l:9,t:0,i:953},
D{l:9,t:0,i:985},
D{l:9,t:0,i:991},
D{l:9,t:0,i:1001},
D{l:12,t:0,i:818},
D{l:12,t:0,i:846},
D{l:12,t:0,i:847},
D{l:12,t:0,i:861},
D{l:12,t:0,i:862},
D{l:12,t:0,i:873},
D{l:12,t:0,i:875},
D{l:12,t:0,i:877},
D{l:12,t:0,i:879},
D{l:12,t:0,i:881},
D{l:12,t:0,i:884},
D{l:12,t:0,i:903},
D{l:12,t:0,i:915},
D{l:12,t:0,i:926},
D{l:12,t:0,i:939},
D{l:15,t:0,i:182},
D{l:15,t:0,i:219},
D{l:15,t:0,i:255},
D{l:18,t:0,i:191},
D{l:18,t:0,i:209},
D{l:18,t:0,i:211},
D{l:149,t:0,i:41},
D{l:5,t:11,i:328},
D{l:135,t:11,i:918},
D{l:137,t:0,i:780},
D{l:12,t:0,i:82},
D{l:143,t:0,i:36},
D{l:133,t:10,i:1010},
D{l:5,t:0,i:821},
D{l:134,t:0,i:1687},
D{l:133,t:11,i:514},
D{l:132,t:0,i:956},
D{l:134,t:0,i:1180},
D{l:10,t:0,i:112},
D{l:5,t:10,i:87},
D{l:7,t:10,i:313},
D{l:7,t:10,i:1103},
D{l:10,t:10,i:582},
D{l:11,t:10,i:389},
D{l:11,t:10,i:813},
D{l:12,t:10,i:385},
D{l:13,t:10,i:286},
D{l:14,t:10,i:124},
D{l:146,t:10,i:108},
D{l:5,t:0,i:71},
D{l:7,t:0,i:1407},
D{l:9,t:0,i:704},
D{l:10,t:0,i:261},
D{l:10,t:0,i:619},
D{l:11,t:0,i:547},
D{l:11,t:0,i:619},
D{l:143,t:0,i:157},
D{l:4,t:0,i:531},
D{l:5,t:0,i:455},
D{l:5,t:11,i:301},
D{l:6,t:11,i:571},
D{l:14,t:11,i:49},
D{l:146,t:11,i:102},
D{l:132,t:10,i:267},
D{l:6,t:0,i:385},
D{l:7,t:0,i:2008},
D{l:9,t:0,i:337},
D{l:138,t:0,i:517},
D{l:133,t:11,i:726},
D{l:133,t:11,i:364},
D{l:4,t:11,i:76},
D{l:7,t:11,i:1550},
D{l:9,t:11,i:306},
D{l:9,t:11,i:430},
D{l:9,t:11,i:663},
D{l:10,t:11,i:683},
D{l:11,t:11,i:427},
D{l:11,t:11,i:753},
D{l:12,t:11,i:334},
D{l:12,t:11,i:442},
D{l:14,t:11,i:258},
D{l:14,t:11,i:366},
D{l:143,t:11,i:131},
D{l:6,t:0,i:1865},
D{l:6,t:0,i:1879},
D{l:6,t:0,i:1881},
D{l:6,t:0,i:1894},
D{l:6,t:0,i:1908},
D{l:9,t:0,i:915},
D{l:9,t:0,i:926},
D{l:9,t:0,i:940},
D{l:9,t:0,i:943},
D{l:9,t:0,i:966},
D{l:9,t:0,i:980},
D{l:9,t:0,i:989},
D{l:9,t:0,i:1005},
D{l:9,t:0,i:1010},
D{l:12,t:0,i:813},
D{l:12,t:0,i:817},
D{l:12,t:0,i:840},
D{l:12,t:0,i:843},
D{l:12,t:0,i:855},
D{l:12,t:0,i:864},
D{l:12,t:0,i:871},
D{l:12,t:0,i:872},
D{l:12,t:0,i:899},
D{l:12,t:0,i:905},
D{l:12,t:0,i:924},
D{l:15,t:0,i:171},
D{l:15,t:0,i:181},
D{l:15,t:0,i:224},
D{l:15,t:0,i:235},
D{l:15,t:0,i:251},
D{l:146,t:0,i:184},
D{l:137,t:11,i:52},
D{l:5,t:0,i:16},
D{l:6,t:0,i:86},
D{l:6,t:0,i:603},
D{l:7,t:0,i:292},
D{l:7,t:0,i:561},
D{l:8,t:0,i:257},
D{l:8,t:0,i:382},
D{l:9,t:0,i:721},
D{l:9,t:0,i:778},
D{l:11,t:0,i:581},
D{l:140,t:0,i:466},
D{l:4,t:0,i:486},
D{l:5,t:0,i:491},
D{l:135,t:10,i:1121},
D{l:4,t:0,i:72},
D{l:6,t:0,i:265},
D{l:135,t:0,i:1300},
D{l:135,t:11,i:1183},
D{l:10,t:10,i:249},
D{l:139,t:10,i:209},
D{l:132,t:10,i:561},
D{l:137,t:11,i:519},
D{l:4,t:11,i:656},
D{l:4,t:10,i:760},
D{l:135,t:11,i:779},
D{l:9,t:10,i:154},
D{l:140,t:10,i:485},
D{l:135,t:11,i:1793},
D{l:135,t:11,i:144},
D{l:136,t:10,i:255},
D{l:133,t:0,i:621},
D{l:4,t:10,i:368},
D{l:135,t:10,i:641},
D{l:135,t:11,i:1373},
D{l:7,t:11,i:554},
D{l:7,t:11,i:605},
D{l:141,t:11,i:10},
D{l:137,t:0,i:234},
D{l:5,t:0,i:815},
D{l:6,t:0,i:1688},
D{l:134,t:0,i:1755},
D{l:5,t:11,i:838},
D{l:5,t:11,i:841},
D{l:134,t:11,i:1649},
D{l:7,t:0,i:1987},
D{l:7,t:0,i:2040},
D{l:136,t:0,i:743},
D{l:133,t:11,i:1012},
D{l:6,t:0,i:197},
D{l:136,t:0,i:205},
D{l:6,t:0,i:314},
D{l:134,t:11,i:314},
D{l:144,t:11,i:53},
D{l:6,t:11,i:251},
D{l:7,t:11,i:365},
D{l:7,t:11,i:1357},
D{l:7,t:11,i:1497},
D{l:8,t:11,i:154},
D{l:141,t:11,i:281},
D{l:133,t:11,i:340},
D{l:6,t:0,i:452},
D{l:7,t:0,i:312},
D{l:138,t:0,i:219},
D{l:138,t:0,i:589},
D{l:4,t:0,i:333},
D{l:9,t:0,i:176},
D{l:12,t:0,i:353},
D{l:141,t:0,i:187},
D{l:9,t:10,i:92},
D{l:147,t:10,i:91},
D{l:134,t:0,i:1110},
D{l:11,t:0,i:47},
D{l:139,t:11,i:495},
D{l:6,t:10,i:525},
D{l:8,t:10,i:806},
D{l:9,t:10,i:876},
D{l:140,t:10,i:284},
D{l:8,t:11,i:261},
D{l:9,t:11,i:144},
D{l:9,t:11,i:466},
D{l:10,t:11,i:370},
D{l:12,t:11,i:470},
D{l:13,t:11,i:144},
D{l:142,t:11,i:348},
D{l:137,t:11,i:897},
D{l:8,t:0,i:863},
D{l:8,t:0,i:864},
D{l:8,t:0,i:868},
D{l:8,t:0,i:884},
D{l:10,t:0,i:866},
D{l:10,t:0,i:868},
D{l:10,t:0,i:873},
D{l:10,t:0,i:911},
D{l:10,t:0,i:912},
D{l:10,t:0,i:944},
D{l:12,t:0,i:727},
D{l:6,t:11,i:248},
D{l:9,t:11,i:546},
D{l:10,t:11,i:535},
D{l:11,t:11,i:681},
D{l:141,t:11,i:135},
D{l:6,t:0,i:300},
D{l:135,t:0,i:1515},
D{l:134,t:0,i:1237},
D{l:139,t:10,i:958},
D{l:133,t:10,i:594},
D{l:140,t:11,i:250},
D{l:134,t:0,i:1685},
D{l:134,t:11,i:567},
D{l:7,t:0,i:135},
D{l:8,t:0,i:7},
D{l:8,t:0,i:62},
D{l:9,t:0,i:243},
D{l:10,t:0,i:658},
D{l:10,t:0,i:697},
D{l:11,t:0,i:456},
D{l:139,t:0,i:756},
D{l:9,t:0,i:395},
D{l:138,t:0,i:79},
D{l:6,t:10,i:1641},
D{l:136,t:10,i:820},
D{l:4,t:10,i:302},
D{l:135,t:10,i:1766},
D{l:134,t:11,i:174},
D{l:135,t:10,i:1313},
D{l:135,t:0,i:631},
D{l:134,t:10,i:1674},
D{l:134,t:11,i:395},
D{l:138,t:0,i:835},
D{l:7,t:0,i:406},
D{l:7,t:0,i:459},
D{l:8,t:0,i:606},
D{l:139,t:0,i:726},
D{l:134,t:11,i:617},
D{l:134,t:0,i:979},
D{l:6,t:10,i:389},
D{l:7,t:10,i:149},
D{l:9,t:10,i:142},
D{l:138,t:10,i:94},
D{l:5,t:11,i:878},
D{l:133,t:11,i:972},
D{l:6,t:10,i:8},
D{l:7,t:10,i:1881},
D{l:8,t:10,i:91},
D{l:136,t:11,i:511},
D{l:133,t:0,i:612},
D{l:132,t:11,i:351},
D{l:4,t:0,i:372},
D{l:7,t:0,i:482},
D{l:8,t:0,i:158},
D{l:9,t:0,i:602},
D{l:9,t:0,i:615},
D{l:10,t:0,i:245},
D{l:10,t:0,i:678},
D{l:10,t:0,i:744},
D{l:11,t:0,i:248},
D{l:139,t:0,i:806},
D{l:5,t:0,i:854},
D{l:135,t:0,i:1991},
D{l:132,t:11,i:286},
D{l:135,t:11,i:344},
D{l:7,t:11,i:438},
D{l:7,t:11,i:627},
D{l:7,t:11,i:1516},
D{l:8,t:11,i:40},
D{l:9,t:11,i:56},
D{l:9,t:11,i:294},
D{l:10,t:11,i:30},
D{l:10,t:11,i:259},
D{l:11,t:11,i:969},
D{l:146,t:11,i:148},
D{l:135,t:0,i:1492},
D{l:5,t:11,i:259},
D{l:7,t:11,i:414},
D{l:7,t:11,i:854},
D{l:142,t:11,i:107},
D{l:135,t:10,i:1746},
D{l:6,t:0,i:833},
D{l:134,t:0,i:998},
D{l:135,t:10,i:24},
D{l:6,t:0,i:750},
D{l:135,t:0,i:1739},
D{l:4,t:10,i:503},
D{l:135,t:10,i:1661},
D{l:5,t:10,i:130},
D{l:7,t:10,i:1314},
D{l:9,t:10,i:610},
D{l:10,t:10,i:718},
D{l:11,t:10,i:601},
D{l:11,t:10,i:819},
D{l:11,t:10,i:946},
D{l:140,t:10,i:536},
D{l:10,t:10,i:149},
D{l:11,t:10,i:280},
D{l:142,t:10,i:336},
D{l:132,t:11,i:738},
D{l:135,t:10,i:1946},
D{l:5,t:0,i:195},
D{l:135,t:0,i:1685},
D{l:7,t:0,i:1997},
D{l:8,t:0,i:730},
D{l:139,t:0,i:1006},
D{l:151,t:11,i:17},
D{l:133,t:11,i:866},
D{l:14,t:0,i:463},
D{l:14,t:0,i:470},
D{l:150,t:0,i:61},
D{l:5,t:0,i:751},
D{l:8,t:0,i:266},
D{l:11,t:0,i:578},
D{l:4,t:10,i:392},
D{l:135,t:10,i:1597},
D{l:5,t:10,i:433},
D{l:9,t:10,i:633},
D{l:139,t:10,i:629},
D{l:135,t:0,i:821},
D{l:6,t:0,i:715},
D{l:134,t:0,i:1325},
D{l:133,t:11,i:116},
D{l:6,t:0,i:868},
D{l:132,t:11,i:457},
D{l:134,t:0,i:959},
D{l:6,t:10,i:234},
D{l:138,t:11,i:199},
D{l:7,t:0,i:1053},
D{l:7,t:10,i:1950},
D{l:8,t:10,i:680},
D{l:11,t:10,i:817},
D{l:147,t:10,i:88},
D{l:7,t:10,i:1222},
D{l:138,t:10,i:386},
D{l:5,t:0,i:950},
D{l:5,t:0,i:994},
D{l:6,t:0,i:351},
D{l:134,t:0,i:1124},
D{l:134,t:0,i:1081},
D{l:7,t:0,i:1595},
D{l:6,t:10,i:5},
D{l:11,t:10,i:249},
D{l:12,t:10,i:313},
D{l:16,t:10,i:66},
D{l:145,t:10,i:26},
D{l:148,t:0,i:59},
D{l:5,t:11,i:527},
D{l:6,t:11,i:189},
D{l:135,t:11,i:859},
D{l:5,t:10,i:963},
D{l:6,t:10,i:1773},
D{l:11,t:11,i:104},
D{l:11,t:11,i:554},
D{l:15,t:11,i:60},
D{l:143,t:11,i:125},
D{l:135,t:0,i:47},
D{l:137,t:0,i:684},
D{l:134,t:11,i:116},
D{l:134,t:0,i:1606},
D{l:134,t:0,i:777},
D{l:7,t:0,i:1020},
D{l:8,t:10,i:509},
D{l:136,t:10,i:792},
D{l:135,t:0,i:1094},
D{l:132,t:0,i:350},
D{l:133,t:11,i:487},
D{l:4,t:11,i:86},
D{l:5,t:11,i:667},
D{l:5,t:11,i:753},
D{l:6,t:11,i:316},
D{l:6,t:11,i:455},
D{l:135,t:11,i:946},
D{l:7,t:0,i:1812},
D{l:13,t:0,i:259},
D{l:13,t:0,i:356},
D{l:14,t:0,i:242},
D{l:147,t:0,i:114},
D{l:132,t:10,i:931},
D{l:133,t:0,i:967},
D{l:4,t:0,i:473},
D{l:7,t:0,i:623},
D{l:8,t:0,i:808},
D{l:9,t:0,i:871},
D{l:9,t:0,i:893},
D{l:11,t:0,i:38},
D{l:11,t:0,i:431},
D{l:12,t:0,i:112},
D{l:12,t:0,i:217},
D{l:12,t:0,i:243},
D{l:12,t:0,i:562},
D{l:12,t:0,i:663},
D{l:12,t:0,i:683},
D{l:13,t:0,i:141},
D{l:13,t:0,i:197},
D{l:13,t:0,i:227},
D{l:13,t:0,i:406},
D{l:13,t:0,i:487},
D{l:14,t:0,i:156},
D{l:14,t:0,i:203},
D{l:14,t:0,i:224},
D{l:14,t:0,i:256},
D{l:18,t:0,i:58},
D{l:150,t:0,i:0},
D{l:138,t:0,i:286},
D{l:7,t:10,i:943},
D{l:139,t:10,i:614},
D{l:135,t:10,i:1837},
D{l:150,t:11,i:45},
D{l:132,t:0,i:798},
D{l:4,t:0,i:222},
D{l:7,t:0,i:286},
D{l:136,t:0,i:629},
D{l:4,t:11,i:79},
D{l:7,t:11,i:1773},
D{l:10,t:11,i:450},
D{l:11,t:11,i:589},
D{l:13,t:11,i:332},
D{l:13,t:11,i:493},
D{l:14,t:11,i:183},
D{l:14,t:11,i:334},
D{l:14,t:11,i:362},
D{l:14,t:11,i:368},
D{l:14,t:11,i:376},
D{l:14,t:11,i:379},
D{l:19,t:11,i:90},
D{l:19,t:11,i:103},
D{l:19,t:11,i:127},
D{l:148,t:11,i:90},
D{l:5,t:0,i:337},
D{l:11,t:0,i:513},
D{l:11,t:0,i:889},
D{l:11,t:0,i:961},
D{l:12,t:0,i:461},
D{l:13,t:0,i:79},
D{l:15,t:0,i:121},
D{l:4,t:10,i:90},
D{l:5,t:10,i:545},
D{l:7,t:10,i:754},
D{l:9,t:10,i:186},
D{l:10,t:10,i:72},
D{l:10,t:10,i:782},
D{l:11,t:10,i:577},
D{l:11,t:10,i:610},
D{l:12,t:10,i:354},<｜fim▁hole｜>D{l:140,t:10,i:595},
D{l:141,t:0,i:306},
D{l:136,t:0,i:146},
D{l:7,t:0,i:1646},
D{l:9,t:10,i:329},
D{l:11,t:10,i:254},
D{l:141,t:11,i:124},
D{l:4,t:0,i:465},
D{l:135,t:0,i:1663},
D{l:132,t:0,i:525},
D{l:133,t:11,i:663},
D{l:10,t:0,i:299},
D{l:18,t:0,i:74},
D{l:9,t:10,i:187},
D{l:11,t:10,i:1016},
D{l:145,t:10,i:44},
D{l:7,t:0,i:165},
D{l:7,t:0,i:919},
D{l:4,t:10,i:506},
D{l:136,t:10,i:517},
D{l:5,t:10,i:295},
D{l:135,t:10,i:1680},
D{l:133,t:11,i:846},
D{l:134,t:0,i:1064},
D{l:5,t:11,i:378},
D{l:7,t:11,i:1402},
D{l:7,t:11,i:1414},
D{l:8,t:11,i:465},
D{l:9,t:11,i:286},
D{l:10,t:11,i:185},
D{l:10,t:11,i:562},
D{l:10,t:11,i:635},
D{l:11,t:11,i:31},
D{l:11,t:11,i:393},
D{l:12,t:11,i:456},
D{l:13,t:11,i:312},
D{l:18,t:11,i:65},
D{l:18,t:11,i:96},
D{l:147,t:11,i:89},
D{l:132,t:0,i:596},
D{l:7,t:10,i:987},
D{l:9,t:10,i:688},
D{l:10,t:10,i:522},
D{l:11,t:10,i:788},
D{l:140,t:10,i:566},
D{l:6,t:0,i:82},
D{l:7,t:0,i:138},
D{l:7,t:0,i:517},
D{l:7,t:0,i:1741},
D{l:11,t:0,i:238},
D{l:4,t:11,i:648},
D{l:134,t:10,i:1775},
D{l:7,t:0,i:1233},
D{l:7,t:10,i:700},
D{l:7,t:10,i:940},
D{l:8,t:10,i:514},
D{l:9,t:10,i:116},
D{l:9,t:10,i:535},
D{l:10,t:10,i:118},
D{l:11,t:10,i:107},
D{l:11,t:10,i:148},
D{l:11,t:10,i:922},
D{l:12,t:10,i:254},
D{l:12,t:10,i:421},
D{l:142,t:10,i:238},
D{l:4,t:0,i:962},
D{l:6,t:0,i:1824},
D{l:8,t:0,i:894},
D{l:12,t:0,i:708},
D{l:12,t:0,i:725},
D{l:14,t:0,i:451},
D{l:20,t:0,i:94},
D{l:22,t:0,i:59},
D{l:150,t:0,i:62},
D{l:5,t:11,i:945},
D{l:6,t:11,i:1656},
D{l:6,t:11,i:1787},
D{l:7,t:11,i:167},
D{l:8,t:11,i:824},
D{l:9,t:11,i:391},
D{l:10,t:11,i:375},
D{l:139,t:11,i:185},
D{l:5,t:0,i:495},
D{l:7,t:0,i:834},
D{l:9,t:0,i:733},
D{l:139,t:0,i:378},
D{l:4,t:10,i:743},
D{l:135,t:11,i:1273},
D{l:6,t:0,i:1204},
D{l:7,t:11,i:1645},
D{l:8,t:11,i:352},
D{l:137,t:11,i:249},
D{l:139,t:10,i:292},
D{l:133,t:0,i:559},
D{l:132,t:11,i:152},
D{l:9,t:0,i:499},
D{l:10,t:0,i:341},
D{l:15,t:0,i:144},
D{l:19,t:0,i:49},
D{l:7,t:10,i:1283},
D{l:9,t:10,i:227},
D{l:11,t:10,i:325},
D{l:11,t:10,i:408},
D{l:14,t:10,i:180},
D{l:146,t:10,i:47},
D{l:6,t:0,i:21},
D{l:6,t:0,i:1737},
D{l:7,t:0,i:1444},
D{l:136,t:0,i:224},
D{l:133,t:11,i:1006},
D{l:7,t:0,i:1446},
D{l:9,t:0,i:97},
D{l:17,t:0,i:15},
D{l:5,t:10,i:81},
D{l:7,t:10,i:146},
D{l:7,t:10,i:1342},
D{l:8,t:10,i:53},
D{l:8,t:10,i:561},
D{l:8,t:10,i:694},
D{l:8,t:10,i:754},
D{l:9,t:10,i:115},
D{l:9,t:10,i:894},
D{l:10,t:10,i:462},
D{l:10,t:10,i:813},
D{l:11,t:10,i:230},
D{l:11,t:10,i:657},
D{l:11,t:10,i:699},
D{l:11,t:10,i:748},
D{l:12,t:10,i:119},
D{l:12,t:10,i:200},
D{l:12,t:10,i:283},
D{l:142,t:10,i:273},
D{l:5,t:10,i:408},
D{l:137,t:10,i:747},
D{l:135,t:11,i:431},
D{l:135,t:11,i:832},
D{l:6,t:0,i:729},
D{l:134,t:0,i:953},
D{l:4,t:0,i:727},
D{l:8,t:0,i:565},
D{l:5,t:11,i:351},
D{l:7,t:11,i:264},
D{l:136,t:11,i:565},
D{l:134,t:0,i:1948},
D{l:5,t:0,i:519},
D{l:5,t:11,i:40},
D{l:7,t:11,i:598},
D{l:7,t:11,i:1638},
D{l:8,t:11,i:78},
D{l:9,t:11,i:166},
D{l:9,t:11,i:640},
D{l:9,t:11,i:685},
D{l:9,t:11,i:773},
D{l:11,t:11,i:215},
D{l:13,t:11,i:65},
D{l:14,t:11,i:172},
D{l:14,t:11,i:317},
D{l:145,t:11,i:6},
D{l:8,t:11,i:60},
D{l:9,t:11,i:343},
D{l:139,t:11,i:769},
D{l:137,t:11,i:455},
D{l:134,t:0,i:1193},
D{l:140,t:0,i:790},
D{l:7,t:11,i:1951},
D{l:8,t:11,i:765},
D{l:8,t:11,i:772},
D{l:140,t:11,i:671},
D{l:7,t:11,i:108},
D{l:8,t:11,i:219},
D{l:8,t:11,i:388},
D{l:9,t:11,i:639},
D{l:9,t:11,i:775},
D{l:11,t:11,i:275},
D{l:140,t:11,i:464},
D{l:132,t:11,i:468},
D{l:7,t:10,i:30},
D{l:8,t:10,i:86},
D{l:8,t:10,i:315},
D{l:8,t:10,i:700},
D{l:9,t:10,i:576},
D{l:9,t:10,i:858},
D{l:11,t:10,i:310},
D{l:11,t:10,i:888},
D{l:11,t:10,i:904},
D{l:12,t:10,i:361},
D{l:141,t:10,i:248},
D{l:5,t:11,i:15},
D{l:6,t:11,i:56},
D{l:7,t:11,i:1758},
D{l:8,t:11,i:500},
D{l:9,t:11,i:730},
D{l:11,t:11,i:331},
D{l:13,t:11,i:150},
D{l:142,t:11,i:282},
D{l:4,t:0,i:402},
D{l:7,t:0,i:2},
D{l:8,t:0,i:323},
D{l:136,t:0,i:479},
D{l:138,t:10,i:839},
D{l:11,t:0,i:580},
D{l:142,t:0,i:201},
D{l:5,t:0,i:59},
D{l:135,t:0,i:672},
D{l:137,t:10,i:617},
D{l:146,t:0,i:34},
D{l:134,t:11,i:1886},
D{l:4,t:0,i:961},
D{l:136,t:0,i:896},
D{l:6,t:0,i:1285},
D{l:5,t:11,i:205},
D{l:6,t:11,i:438},
D{l:137,t:11,i:711},
D{l:134,t:10,i:428},
D{l:7,t:10,i:524},
D{l:8,t:10,i:169},
D{l:8,t:10,i:234},
D{l:9,t:10,i:480},
D{l:138,t:10,i:646},
D{l:148,t:0,i:46},
D{l:141,t:0,i:479},
D{l:133,t:11,i:534},
D{l:6,t:0,i:2019},
D{l:134,t:10,i:1648},
D{l:4,t:0,i:85},
D{l:7,t:0,i:549},
D{l:7,t:10,i:1205},
D{l:138,t:10,i:637},
D{l:4,t:0,i:663},
D{l:5,t:0,i:94},
D{l:7,t:11,i:235},
D{l:7,t:11,i:1475},
D{l:15,t:11,i:68},
D{l:146,t:11,i:120},
D{l:6,t:11,i:443},
D{l:9,t:11,i:237},
D{l:9,t:11,i:571},
D{l:9,t:11,i:695},
D{l:10,t:11,i:139},
D{l:11,t:11,i:715},
D{l:12,t:11,i:417},
D{l:141,t:11,i:421},
D{l:132,t:0,i:783},
D{l:4,t:0,i:682},
D{l:8,t:0,i:65},
D{l:9,t:10,i:39},
D{l:10,t:10,i:166},
D{l:11,t:10,i:918},
D{l:12,t:10,i:635},
D{l:20,t:10,i:10},
D{l:22,t:10,i:27},
D{l:22,t:10,i:43},
D{l:150,t:10,i:52},
D{l:6,t:0,i:11},
D{l:135,t:0,i:187},
D{l:132,t:0,i:522},
D{l:4,t:0,i:52},
D{l:135,t:0,i:661},
D{l:4,t:0,i:383},
D{l:133,t:0,i:520},
D{l:135,t:11,i:546},
D{l:11,t:0,i:343},
D{l:142,t:0,i:127},
D{l:4,t:11,i:578},
D{l:7,t:10,i:157},
D{l:7,t:11,i:624},
D{l:7,t:11,i:916},
D{l:8,t:10,i:279},
D{l:10,t:11,i:256},
D{l:11,t:11,i:87},
D{l:139,t:11,i:703},
D{l:134,t:10,i:604},
D{l:4,t:0,i:281},
D{l:5,t:0,i:38},
D{l:7,t:0,i:194},
D{l:7,t:0,i:668},
D{l:7,t:0,i:1893},
D{l:137,t:0,i:397},
D{l:7,t:10,i:945},
D{l:11,t:10,i:713},
D{l:139,t:10,i:744},
D{l:139,t:10,i:1022},
D{l:9,t:0,i:635},
D{l:139,t:0,i:559},
D{l:5,t:11,i:923},
D{l:7,t:11,i:490},
D{l:12,t:11,i:553},
D{l:13,t:11,i:100},
D{l:14,t:11,i:118},
D{l:143,t:11,i:75},
D{l:132,t:0,i:975},
D{l:132,t:10,i:567},
D{l:137,t:10,i:859},
D{l:7,t:10,i:1846},
D{l:7,t:11,i:1846},
D{l:8,t:10,i:628},
D{l:136,t:11,i:628},
D{l:148,t:0,i:116},
D{l:138,t:11,i:750},
D{l:14,t:0,i:51},
D{l:14,t:11,i:51},
D{l:15,t:11,i:7},
D{l:148,t:11,i:20},
D{l:132,t:0,i:858},
D{l:134,t:0,i:1075},
D{l:4,t:11,i:924},
D{l:133,t:10,i:762},
D{l:136,t:0,i:535},
D{l:133,t:0,i:448},
D{l:10,t:10,i:784},
D{l:141,t:10,i:191},
D{l:133,t:10,i:298},
D{l:7,t:0,i:610},
D{l:135,t:0,i:1501},
D{l:7,t:10,i:633},
D{l:7,t:10,i:905},
D{l:7,t:10,i:909},
D{l:7,t:10,i:1538},
D{l:9,t:10,i:767},
D{l:140,t:10,i:636},
D{l:4,t:11,i:265},
D{l:7,t:11,i:807},
D{l:135,t:11,i:950},
D{l:5,t:11,i:93},
D{l:12,t:11,i:267},
D{l:144,t:11,i:26},
D{l:136,t:0,i:191},
D{l:139,t:10,i:301},
D{l:135,t:10,i:1970},
D{l:135,t:0,i:267},
D{l:4,t:0,i:319},
D{l:5,t:0,i:699},
D{l:138,t:0,i:673},
D{l:6,t:0,i:336},
D{l:7,t:0,i:92},
D{l:7,t:0,i:182},
D{l:8,t:0,i:453},
D{l:8,t:0,i:552},
D{l:9,t:0,i:204},
D{l:9,t:0,i:285},
D{l:10,t:0,i:99},
D{l:11,t:0,i:568},
D{l:11,t:0,i:950},
D{l:12,t:0,i:94},
D{l:16,t:0,i:20},
D{l:16,t:0,i:70},
D{l:19,t:0,i:55},
D{l:12,t:10,i:644},
D{l:144,t:10,i:90},
D{l:6,t:0,i:551},
D{l:7,t:0,i:1308},
D{l:7,t:10,i:845},
D{l:7,t:11,i:994},
D{l:8,t:10,i:160},
D{l:137,t:10,i:318},
D{l:19,t:11,i:1},
D{l:19,t:11,i:26},
D{l:150,t:11,i:9},
D{l:7,t:0,i:1406},
D{l:9,t:0,i:218},
D{l:141,t:0,i:222},
D{l:5,t:0,i:256},
D{l:138,t:0,i:69},
D{l:5,t:11,i:233},
D{l:5,t:11,i:320},
D{l:6,t:11,i:140},
D{l:7,t:11,i:330},
D{l:136,t:11,i:295},
D{l:6,t:0,i:1980},
D{l:136,t:0,i:952},
D{l:4,t:0,i:833},
D{l:137,t:11,i:678},
D{l:133,t:11,i:978},
D{l:4,t:11,i:905},
D{l:6,t:11,i:1701},
D{l:137,t:11,i:843},
D{l:138,t:10,i:735},
D{l:136,t:10,i:76},
D{l:17,t:0,i:39},
D{l:148,t:0,i:36},
D{l:18,t:0,i:81},
D{l:146,t:11,i:81},
D{l:14,t:0,i:352},
D{l:17,t:0,i:53},
D{l:18,t:0,i:146},
D{l:18,t:0,i:152},
D{l:19,t:0,i:11},
D{l:150,t:0,i:54},
D{l:135,t:0,i:634},
D{l:138,t:10,i:841},
D{l:132,t:0,i:618},
D{l:4,t:0,i:339},
D{l:7,t:0,i:259},
D{l:17,t:0,i:73},
D{l:4,t:11,i:275},
D{l:140,t:11,i:376},
D{l:132,t:11,i:509},
D{l:7,t:11,i:273},
D{l:139,t:11,i:377},
D{l:4,t:0,i:759},
D{l:13,t:0,i:169},
D{l:137,t:10,i:804},
D{l:6,t:10,i:96},
D{l:135,t:10,i:1426},
D{l:4,t:10,i:651},
D{l:133,t:10,i:289},
D{l:7,t:0,i:1075},
D{l:8,t:10,i:35},
D{l:9,t:10,i:511},
D{l:10,t:10,i:767},
D{l:147,t:10,i:118},
D{l:6,t:0,i:649},
D{l:6,t:0,i:670},
D{l:136,t:0,i:482},
D{l:5,t:0,i:336},
D{l:6,t:0,i:341},
D{l:6,t:0,i:478},
D{l:6,t:0,i:1763},
D{l:136,t:0,i:386},
D{l:5,t:11,i:802},
D{l:7,t:11,i:2021},
D{l:8,t:11,i:805},
D{l:14,t:11,i:94},
D{l:15,t:11,i:65},
D{l:16,t:11,i:4},
D{l:16,t:11,i:77},
D{l:16,t:11,i:80},
D{l:145,t:11,i:5},
D{l:6,t:0,i:1035},
D{l:5,t:11,i:167},
D{l:5,t:11,i:899},
D{l:6,t:11,i:410},
D{l:137,t:11,i:777},
D{l:134,t:11,i:1705},
D{l:5,t:0,i:924},
D{l:133,t:0,i:969},
D{l:132,t:10,i:704},
D{l:135,t:0,i:73},
D{l:135,t:11,i:10},
D{l:135,t:10,i:1078},
D{l:5,t:11,i:11},
D{l:6,t:11,i:117},
D{l:6,t:11,i:485},
D{l:7,t:11,i:1133},
D{l:9,t:11,i:582},
D{l:9,t:11,i:594},
D{l:11,t:11,i:21},
D{l:11,t:11,i:818},
D{l:12,t:11,i:535},
D{l:141,t:11,i:86},
D{l:135,t:0,i:1971},
D{l:4,t:11,i:264},
D{l:7,t:11,i:1067},
D{l:8,t:11,i:204},
D{l:8,t:11,i:385},
D{l:139,t:11,i:953},
D{l:6,t:0,i:1458},
D{l:135,t:0,i:1344},
D{l:5,t:0,i:396},
D{l:134,t:0,i:501},
D{l:4,t:10,i:720},
D{l:133,t:10,i:306},
D{l:4,t:0,i:929},
D{l:5,t:0,i:799},
D{l:8,t:0,i:46},
D{l:8,t:0,i:740},
D{l:133,t:10,i:431},
D{l:7,t:11,i:646},
D{l:7,t:11,i:1730},
D{l:11,t:11,i:446},
D{l:141,t:11,i:178},
D{l:7,t:0,i:276},
D{l:5,t:10,i:464},
D{l:6,t:10,i:236},
D{l:7,t:10,i:696},
D{l:7,t:10,i:914},
D{l:7,t:10,i:1108},
D{l:7,t:10,i:1448},
D{l:9,t:10,i:15},
D{l:9,t:10,i:564},
D{l:10,t:10,i:14},
D{l:12,t:10,i:565},
D{l:13,t:10,i:449},
D{l:14,t:10,i:53},
D{l:15,t:10,i:13},
D{l:16,t:10,i:64},
D{l:145,t:10,i:41},
D{l:4,t:0,i:892},
D{l:133,t:0,i:770},
D{l:6,t:10,i:1767},
D{l:12,t:10,i:194},
D{l:145,t:10,i:107},
D{l:135,t:0,i:158},
D{l:5,t:10,i:840},
D{l:138,t:11,i:608},
D{l:134,t:0,i:1432},
D{l:138,t:11,i:250},
D{l:8,t:11,i:794},
D{l:9,t:11,i:400},
D{l:10,t:11,i:298},
D{l:142,t:11,i:228},
D{l:151,t:0,i:25},
D{l:7,t:11,i:1131},
D{l:135,t:11,i:1468},
D{l:135,t:0,i:2001},
D{l:9,t:10,i:642},
D{l:11,t:10,i:236},
D{l:142,t:10,i:193},
D{l:4,t:10,i:68},
D{l:5,t:10,i:634},
D{l:6,t:10,i:386},
D{l:7,t:10,i:794},
D{l:8,t:10,i:273},
D{l:9,t:10,i:563},
D{l:10,t:10,i:105},
D{l:10,t:10,i:171},
D{l:11,t:10,i:94},
D{l:139,t:10,i:354},
D{l:136,t:11,i:724},
D{l:132,t:0,i:478},
D{l:11,t:11,i:512},
D{l:13,t:11,i:205},
D{l:19,t:11,i:30},
D{l:22,t:11,i:36},
D{l:151,t:11,i:19},
D{l:7,t:0,i:1461},
D{l:140,t:0,i:91},
D{l:6,t:11,i:190},
D{l:7,t:11,i:768},
D{l:135,t:11,i:1170},
D{l:4,t:0,i:602},
D{l:8,t:0,i:211},
D{l:4,t:10,i:95},
D{l:7,t:10,i:416},
D{l:139,t:10,i:830},
D{l:7,t:10,i:731},
D{l:13,t:10,i:20},
D{l:143,t:10,i:11},
D{l:6,t:0,i:1068},
D{l:135,t:0,i:1872},
D{l:4,t:0,i:13},
D{l:5,t:0,i:567},
D{l:7,t:0,i:1498},
D{l:9,t:0,i:124},
D{l:11,t:0,i:521},
D{l:12,t:0,i:405},
D{l:135,t:11,i:1023},
D{l:135,t:0,i:1006},
D{l:132,t:0,i:735},
D{l:138,t:0,i:812},
D{l:4,t:0,i:170},
D{l:135,t:0,i:323},
D{l:6,t:11,i:137},
D{l:9,t:11,i:75},
D{l:9,t:11,i:253},
D{l:10,t:11,i:194},
D{l:138,t:11,i:444},
D{l:5,t:0,i:304},
D{l:7,t:0,i:1403},
D{l:5,t:10,i:864},
D{l:10,t:10,i:648},
D{l:11,t:10,i:671},
D{l:143,t:10,i:46},
D{l:135,t:11,i:1180},
D{l:133,t:10,i:928},
D{l:4,t:0,i:148},
D{l:133,t:0,i:742},
D{l:11,t:10,i:986},
D{l:140,t:10,i:682},
D{l:133,t:0,i:523},
D{l:135,t:11,i:1743},
D{l:7,t:0,i:730},
D{l:18,t:0,i:144},
D{l:19,t:0,i:61},
D{l:8,t:10,i:44},
D{l:9,t:10,i:884},
D{l:10,t:10,i:580},
D{l:11,t:10,i:399},
D{l:11,t:10,i:894},
D{l:143,t:10,i:122},
D{l:5,t:11,i:760},
D{l:7,t:11,i:542},
D{l:8,t:11,i:135},
D{l:136,t:11,i:496},
D{l:136,t:0,i:981},
D{l:133,t:0,i:111},
D{l:10,t:0,i:132},
D{l:11,t:0,i:191},
D{l:11,t:0,i:358},
D{l:139,t:0,i:460},
D{l:7,t:11,i:319},
D{l:7,t:11,i:355},
D{l:7,t:11,i:763},
D{l:10,t:11,i:389},
D{l:145,t:11,i:43},
D{l:134,t:0,i:890},
D{l:134,t:0,i:1420},
D{l:136,t:11,i:557},
D{l:133,t:10,i:518},
D{l:133,t:0,i:444},
D{l:135,t:0,i:1787},
D{l:135,t:10,i:1852},
D{l:8,t:0,i:123},
D{l:15,t:0,i:6},
D{l:144,t:0,i:7},
D{l:6,t:0,i:2041},
D{l:10,t:11,i:38},
D{l:139,t:11,i:784},
D{l:136,t:0,i:932},
D{l:5,t:0,i:937},
D{l:135,t:0,i:100},
D{l:6,t:0,i:995},
D{l:4,t:11,i:58},
D{l:5,t:11,i:286},
D{l:6,t:11,i:319},
D{l:7,t:11,i:402},
D{l:7,t:11,i:1254},
D{l:7,t:11,i:1903},
D{l:8,t:11,i:356},
D{l:140,t:11,i:408},
D{l:4,t:11,i:389},
D{l:9,t:11,i:181},
D{l:9,t:11,i:255},
D{l:10,t:11,i:8},
D{l:10,t:11,i:29},
D{l:10,t:11,i:816},
D{l:11,t:11,i:311},
D{l:11,t:11,i:561},
D{l:12,t:11,i:67},
D{l:141,t:11,i:181},
D{l:138,t:0,i:255},
D{l:5,t:0,i:138},
D{l:4,t:10,i:934},
D{l:136,t:10,i:610},
D{l:4,t:0,i:965},
D{l:10,t:0,i:863},
D{l:138,t:0,i:898},
D{l:10,t:10,i:804},
D{l:138,t:10,i:832},
D{l:12,t:0,i:631},
D{l:8,t:10,i:96},
D{l:9,t:10,i:36},
D{l:10,t:10,i:607},
D{l:11,t:10,i:423},
D{l:11,t:10,i:442},
D{l:12,t:10,i:309},
D{l:14,t:10,i:199},
D{l:15,t:10,i:90},
D{l:145,t:10,i:110},
D{l:134,t:0,i:1394},
D{l:4,t:0,i:652},
D{l:8,t:0,i:320},
D{l:22,t:0,i:6},
D{l:22,t:0,i:16},
D{l:9,t:10,i:13},
D{l:9,t:10,i:398},
D{l:9,t:10,i:727},
D{l:10,t:10,i:75},
D{l:10,t:10,i:184},
D{l:10,t:10,i:230},
D{l:10,t:10,i:564},
D{l:10,t:10,i:569},
D{l:11,t:10,i:973},
D{l:12,t:10,i:70},
D{l:12,t:10,i:189},
D{l:13,t:10,i:57},
D{l:141,t:10,i:257},
D{l:6,t:0,i:897},
D{l:134,t:0,i:1333},
D{l:4,t:0,i:692},
D{l:133,t:0,i:321},
D{l:133,t:11,i:373},
D{l:135,t:0,i:922},
D{l:5,t:0,i:619},
D{l:133,t:0,i:698},
D{l:137,t:10,i:631},
D{l:5,t:10,i:345},
D{l:135,t:10,i:1016},
D{l:9,t:0,i:957},
D{l:9,t:0,i:1018},
D{l:12,t:0,i:828},
D{l:12,t:0,i:844},
D{l:12,t:0,i:897},
D{l:12,t:0,i:901},
D{l:12,t:0,i:943},
D{l:15,t:0,i:180},
D{l:18,t:0,i:197},
D{l:18,t:0,i:200},
D{l:18,t:0,i:213},
D{l:18,t:0,i:214},
D{l:146,t:0,i:226},
D{l:5,t:0,i:917},
D{l:134,t:0,i:1659},
D{l:135,t:0,i:1100},
D{l:134,t:0,i:1173},
D{l:134,t:0,i:1930},
D{l:5,t:0,i:251},
D{l:5,t:0,i:956},
D{l:8,t:0,i:268},
D{l:9,t:0,i:214},
D{l:146,t:0,i:142},
D{l:133,t:10,i:673},
D{l:137,t:10,i:850},
D{l:4,t:10,i:287},
D{l:133,t:10,i:1018},
D{l:132,t:11,i:672},
D{l:5,t:0,i:346},
D{l:5,t:0,i:711},
D{l:8,t:0,i:390},
D{l:11,t:11,i:752},
D{l:139,t:11,i:885},
D{l:5,t:10,i:34},
D{l:10,t:10,i:724},
D{l:12,t:10,i:444},
D{l:13,t:10,i:354},
D{l:18,t:10,i:32},
D{l:23,t:10,i:24},
D{l:23,t:10,i:31},
D{l:152,t:10,i:5},
D{l:4,t:11,i:710},
D{l:134,t:11,i:606},
D{l:134,t:0,i:744},
D{l:134,t:10,i:382},
D{l:133,t:11,i:145},
D{l:4,t:10,i:329},
D{l:7,t:11,i:884},
D{l:140,t:11,i:124},
D{l:4,t:11,i:467},
D{l:5,t:11,i:405},
D{l:134,t:11,i:544},
D{l:9,t:10,i:846},
D{l:138,t:10,i:827},
D{l:133,t:0,i:624},
D{l:9,t:11,i:372},
D{l:15,t:11,i:2},
D{l:19,t:11,i:10},
D{l:147,t:11,i:18},
D{l:4,t:11,i:387},
D{l:135,t:11,i:1288},
D{l:5,t:0,i:783},
D{l:7,t:0,i:1998},
D{l:135,t:0,i:2047},
D{l:132,t:10,i:906},
D{l:136,t:10,i:366},
D{l:135,t:11,i:550},
D{l:4,t:10,i:123},
D{l:4,t:10,i:649},
D{l:5,t:10,i:605},
D{l:7,t:10,i:1509},
D{l:136,t:10,i:36},
D{l:134,t:0,i:1125},
D{l:132,t:0,i:594},
D{l:133,t:10,i:767},
D{l:135,t:11,i:1227},
D{l:136,t:11,i:467},
D{l:4,t:11,i:576},
D{l:135,t:11,i:1263},
D{l:4,t:0,i:268},
D{l:7,t:0,i:1534},
D{l:135,t:11,i:1534},
D{l:4,t:10,i:273},
D{l:5,t:10,i:658},
D{l:5,t:11,i:919},
D{l:5,t:10,i:995},
D{l:134,t:11,i:1673},
D{l:133,t:0,i:563},
D{l:134,t:10,i:72},
D{l:135,t:10,i:1345},
D{l:4,t:11,i:82},
D{l:5,t:11,i:333},
D{l:5,t:11,i:904},
D{l:6,t:11,i:207},
D{l:7,t:11,i:325},
D{l:7,t:11,i:1726},
D{l:8,t:11,i:101},
D{l:10,t:11,i:778},
D{l:139,t:11,i:220},
D{l:5,t:0,i:37},
D{l:6,t:0,i:39},
D{l:6,t:0,i:451},
D{l:7,t:0,i:218},
D{l:7,t:0,i:667},
D{l:7,t:0,i:1166},
D{l:7,t:0,i:1687},
D{l:8,t:0,i:662},
D{l:16,t:0,i:2},
D{l:133,t:10,i:589},
D{l:134,t:0,i:1332},
D{l:133,t:11,i:903},
D{l:134,t:0,i:508},
D{l:5,t:10,i:117},
D{l:6,t:10,i:514},
D{l:6,t:10,i:541},
D{l:7,t:10,i:1164},
D{l:7,t:10,i:1436},
D{l:8,t:10,i:220},
D{l:8,t:10,i:648},
D{l:10,t:10,i:688},
D{l:11,t:10,i:560},
D{l:140,t:11,i:147},
D{l:6,t:11,i:555},
D{l:135,t:11,i:485},
D{l:133,t:10,i:686},
D{l:7,t:0,i:453},
D{l:7,t:0,i:635},
D{l:7,t:0,i:796},
D{l:8,t:0,i:331},
D{l:9,t:0,i:330},
D{l:9,t:0,i:865},
D{l:10,t:0,i:119},
D{l:10,t:0,i:235},
D{l:11,t:0,i:111},
D{l:11,t:0,i:129},
D{l:11,t:0,i:240},
D{l:12,t:0,i:31},
D{l:12,t:0,i:66},
D{l:12,t:0,i:222},
D{l:12,t:0,i:269},
D{l:12,t:0,i:599},
D{l:12,t:0,i:684},
D{l:12,t:0,i:689},
D{l:12,t:0,i:691},
D{l:142,t:0,i:345},
D{l:135,t:0,i:1834},
D{l:4,t:11,i:705},
D{l:7,t:11,i:615},
D{l:138,t:11,i:251},
D{l:136,t:11,i:345},
D{l:137,t:0,i:527},
D{l:6,t:0,i:98},
D{l:7,t:0,i:702},
D{l:135,t:0,i:991},
D{l:11,t:0,i:576},
D{l:14,t:0,i:74},
D{l:7,t:10,i:196},
D{l:10,t:10,i:765},
D{l:11,t:10,i:347},
D{l:11,t:10,i:552},
D{l:11,t:10,i:790},
D{l:12,t:10,i:263},
D{l:13,t:10,i:246},
D{l:13,t:10,i:270},
D{l:13,t:10,i:395},
D{l:14,t:10,i:176},
D{l:14,t:10,i:190},
D{l:14,t:10,i:398},
D{l:14,t:10,i:412},
D{l:15,t:10,i:32},
D{l:15,t:10,i:63},
D{l:16,t:10,i:88},
D{l:147,t:10,i:105},
D{l:134,t:11,i:90},
D{l:13,t:0,i:84},
D{l:141,t:0,i:122},
D{l:6,t:0,i:37},
D{l:7,t:0,i:299},
D{l:7,t:0,i:1666},
D{l:8,t:0,i:195},
D{l:8,t:0,i:316},
D{l:9,t:0,i:178},
D{l:9,t:0,i:276},
D{l:9,t:0,i:339},
D{l:9,t:0,i:536},
D{l:10,t:0,i:102},
D{l:10,t:0,i:362},
D{l:10,t:0,i:785},
D{l:11,t:0,i:55},
D{l:11,t:0,i:149},
D{l:11,t:0,i:773},
D{l:13,t:0,i:416},
D{l:13,t:0,i:419},
D{l:14,t:0,i:38},
D{l:14,t:0,i:41},
D{l:142,t:0,i:210},
D{l:5,t:10,i:381},
D{l:135,t:10,i:1792},
D{l:7,t:11,i:813},
D{l:12,t:11,i:497},
D{l:141,t:11,i:56},
D{l:7,t:10,i:616},
D{l:138,t:10,i:413},
D{l:133,t:0,i:645},
D{l:6,t:11,i:125},
D{l:135,t:11,i:1277},
D{l:132,t:0,i:290},
D{l:6,t:0,i:70},
D{l:7,t:0,i:1292},
D{l:10,t:0,i:762},
D{l:139,t:0,i:288},
D{l:6,t:10,i:120},
D{l:7,t:10,i:1188},
D{l:7,t:10,i:1710},
D{l:8,t:10,i:286},
D{l:9,t:10,i:667},
D{l:11,t:10,i:592},
D{l:139,t:10,i:730},
D{l:135,t:11,i:1784},
D{l:7,t:0,i:1315},
D{l:135,t:11,i:1315},
D{l:134,t:0,i:1955},
D{l:135,t:10,i:1146},
D{l:7,t:0,i:131},
D{l:7,t:0,i:422},
D{l:8,t:0,i:210},
D{l:140,t:0,i:573},
D{l:4,t:10,i:352},
D{l:135,t:10,i:687},
D{l:139,t:0,i:797},
D{l:143,t:0,i:38},
D{l:14,t:0,i:179},
D{l:15,t:0,i:151},
D{l:150,t:0,i:11},
D{l:7,t:0,i:488},
D{l:4,t:10,i:192},
D{l:5,t:10,i:49},
D{l:6,t:10,i:200},
D{l:6,t:10,i:293},
D{l:134,t:10,i:1696},
D{l:132,t:0,i:936},
D{l:135,t:11,i:703},
D{l:6,t:11,i:160},
D{l:7,t:11,i:1106},
D{l:9,t:11,i:770},
D{l:10,t:11,i:618},
D{l:11,t:11,i:112},
D{l:140,t:11,i:413},
D{l:5,t:0,i:453},
D{l:134,t:0,i:441},
D{l:135,t:0,i:595},
D{l:132,t:10,i:650},
D{l:132,t:10,i:147},
D{l:6,t:0,i:991},
D{l:6,t:0,i:1182},
D{l:12,t:11,i:271},
D{l:145,t:11,i:109},
D{l:133,t:10,i:934},
D{l:140,t:11,i:221},
D{l:132,t:0,i:653},
D{l:7,t:0,i:505},
D{l:135,t:0,i:523},
D{l:134,t:0,i:903},
D{l:135,t:11,i:479},
D{l:7,t:11,i:304},
D{l:9,t:11,i:646},
D{l:9,t:11,i:862},
D{l:10,t:11,i:262},
D{l:11,t:11,i:696},
D{l:12,t:11,i:208},
D{l:15,t:11,i:79},
D{l:147,t:11,i:108},
D{l:146,t:0,i:80},
D{l:135,t:11,i:981},
D{l:142,t:0,i:432},
D{l:132,t:0,i:314},
D{l:137,t:11,i:152},
D{l:7,t:0,i:1368},
D{l:8,t:0,i:232},
D{l:8,t:0,i:361},
D{l:10,t:0,i:682},
D{l:138,t:0,i:742},
D{l:135,t:11,i:1586},
D{l:9,t:0,i:534},
D{l:4,t:11,i:434},
D{l:11,t:11,i:663},
D{l:12,t:11,i:210},
D{l:13,t:11,i:166},
D{l:13,t:11,i:310},
D{l:14,t:11,i:373},
D{l:147,t:11,i:43},
D{l:7,t:11,i:1091},
D{l:135,t:11,i:1765},
D{l:6,t:11,i:550},
D{l:135,t:11,i:652},
D{l:137,t:0,i:27},
D{l:142,t:0,i:12},
D{l:4,t:10,i:637},
D{l:5,t:11,i:553},
D{l:7,t:11,i:766},
D{l:138,t:11,i:824},
D{l:7,t:11,i:737},
D{l:8,t:11,i:298},
D{l:136,t:11,i:452},
D{l:7,t:0,i:736},
D{l:139,t:0,i:264},
D{l:134,t:0,i:1657},
D{l:133,t:11,i:292},
D{l:138,t:11,i:135},
D{l:6,t:0,i:844},
D{l:134,t:0,i:1117},
D{l:135,t:0,i:127},
D{l:9,t:10,i:867},
D{l:138,t:10,i:837},
D{l:6,t:0,i:1184},
D{l:134,t:0,i:1208},
D{l:134,t:0,i:1294},
D{l:136,t:0,i:364},
D{l:6,t:0,i:1415},
D{l:7,t:0,i:1334},
D{l:11,t:0,i:125},
D{l:6,t:10,i:170},
D{l:7,t:11,i:393},
D{l:8,t:10,i:395},
D{l:8,t:10,i:487},
D{l:10,t:11,i:603},
D{l:11,t:11,i:206},
D{l:141,t:10,i:147},
D{l:137,t:11,i:748},
D{l:4,t:11,i:912},
D{l:137,t:11,i:232},
D{l:4,t:10,i:535},
D{l:136,t:10,i:618},
D{l:137,t:0,i:792},
D{l:7,t:11,i:1973},
D{l:136,t:11,i:716},
D{l:135,t:11,i:98},
D{l:5,t:0,i:909},
D{l:9,t:0,i:849},
D{l:138,t:0,i:805},
D{l:4,t:0,i:630},
D{l:132,t:0,i:699},
D{l:5,t:11,i:733},
D{l:14,t:11,i:103},
D{l:150,t:10,i:23},
D{l:12,t:11,i:158},
D{l:18,t:11,i:8},
D{l:19,t:11,i:62},
D{l:20,t:11,i:6},
D{l:22,t:11,i:4},
D{l:23,t:11,i:2},
D{l:151,t:11,i:9},
D{l:132,t:0,i:968},
D{l:132,t:10,i:778},
D{l:132,t:10,i:46},
D{l:5,t:10,i:811},
D{l:6,t:10,i:1679},
D{l:6,t:10,i:1714},
D{l:135,t:10,i:2032},
D{l:6,t:0,i:1446},
D{l:7,t:10,i:1458},
D{l:9,t:10,i:407},
D{l:139,t:10,i:15},
D{l:7,t:0,i:206},
D{l:7,t:0,i:397},
D{l:7,t:0,i:621},
D{l:7,t:0,i:640},
D{l:8,t:0,i:124},
D{l:8,t:0,i:619},
D{l:9,t:0,i:305},
D{l:9,t:0,i:643},
D{l:10,t:0,i:264},
D{l:10,t:0,i:628},
D{l:11,t:0,i:40},
D{l:12,t:0,i:349},
D{l:13,t:0,i:134},
D{l:13,t:0,i:295},
D{l:14,t:0,i:155},
D{l:15,t:0,i:120},
D{l:18,t:0,i:105},
D{l:6,t:10,i:34},
D{l:7,t:10,i:1089},
D{l:8,t:10,i:708},
D{l:8,t:10,i:721},
D{l:9,t:10,i:363},
D{l:148,t:10,i:98},
D{l:4,t:0,i:262},
D{l:5,t:0,i:641},
D{l:135,t:0,i:342},
D{l:137,t:11,i:72},
D{l:4,t:0,i:99},
D{l:6,t:0,i:250},
D{l:6,t:0,i:346},
D{l:8,t:0,i:127},
D{l:138,t:0,i:81},
D{l:132,t:0,i:915},
D{l:5,t:0,i:75},
D{l:9,t:0,i:517},
D{l:10,t:0,i:470},
D{l:12,t:0,i:155},
D{l:141,t:0,i:224},
D{l:132,t:10,i:462},
D{l:11,t:11,i:600},
D{l:11,t:11,i:670},
D{l:141,t:11,i:245},
D{l:142,t:0,i:83},
D{l:5,t:10,i:73},
D{l:6,t:10,i:23},
D{l:134,t:10,i:338},
D{l:6,t:0,i:1031},
D{l:139,t:11,i:923},
D{l:7,t:11,i:164},
D{l:7,t:11,i:1571},
D{l:9,t:11,i:107},
D{l:140,t:11,i:225},
D{l:134,t:0,i:1470},
D{l:133,t:0,i:954},
D{l:6,t:0,i:304},
D{l:8,t:0,i:418},
D{l:10,t:0,i:345},
D{l:11,t:0,i:341},
D{l:139,t:0,i:675},
D{l:9,t:0,i:410},
D{l:139,t:0,i:425},
D{l:4,t:11,i:27},
D{l:5,t:11,i:484},
D{l:5,t:11,i:510},
D{l:6,t:11,i:434},
D{l:7,t:11,i:1000},
D{l:7,t:11,i:1098},
D{l:8,t:11,i:2},
D{l:136,t:11,i:200},
D{l:134,t:0,i:734},
D{l:140,t:11,i:257},
D{l:7,t:10,i:725},
D{l:8,t:10,i:498},
D{l:139,t:10,i:268},
D{l:134,t:0,i:1822},
D{l:135,t:0,i:1798},
D{l:135,t:10,i:773},
D{l:132,t:11,i:460},
D{l:4,t:11,i:932},
D{l:133,t:11,i:891},
D{l:134,t:0,i:14},
D{l:132,t:10,i:583},
D{l:7,t:10,i:1462},
D{l:8,t:11,i:625},
D{l:139,t:10,i:659},
D{l:5,t:0,i:113},
D{l:6,t:0,i:243},
D{l:6,t:0,i:1708},
D{l:7,t:0,i:1865},
D{l:11,t:0,i:161},
D{l:16,t:0,i:37},
D{l:17,t:0,i:99},
D{l:133,t:10,i:220},
D{l:134,t:11,i:76},
D{l:5,t:11,i:461},
D{l:135,t:11,i:1925},
D{l:140,t:0,i:69},
D{l:8,t:11,i:92},
D{l:137,t:11,i:221},
D{l:139,t:10,i:803},
D{l:132,t:10,i:544},
D{l:4,t:0,i:274},
D{l:134,t:0,i:922},
D{l:132,t:0,i:541},
D{l:5,t:0,i:627},
D{l:6,t:10,i:437},
D{l:6,t:10,i:564},
D{l:11,t:10,i:181},
D{l:141,t:10,i:183},
D{l:135,t:10,i:1192},
D{l:7,t:0,i:166},
D{l:132,t:11,i:763},
D{l:133,t:11,i:253},
D{l:134,t:0,i:849},
D{l:9,t:11,i:73},
D{l:10,t:11,i:110},
D{l:14,t:11,i:185},
D{l:145,t:11,i:119},
D{l:5,t:11,i:212},
D{l:12,t:11,i:35},
D{l:141,t:11,i:382},
D{l:133,t:0,i:717},
D{l:137,t:0,i:304},
D{l:136,t:0,i:600},
D{l:133,t:0,i:654},
D{l:6,t:0,i:273},
D{l:10,t:0,i:188},
D{l:13,t:0,i:377},
D{l:146,t:0,i:77},
D{l:4,t:10,i:790},
D{l:5,t:10,i:273},
D{l:134,t:10,i:394},
D{l:132,t:0,i:543},
D{l:135,t:0,i:410},
D{l:11,t:0,i:98},
D{l:11,t:0,i:524},
D{l:141,t:0,i:87},
D{l:132,t:0,i:941},
D{l:135,t:11,i:1175},
D{l:4,t:0,i:250},
D{l:7,t:0,i:1612},
D{l:11,t:0,i:186},
D{l:12,t:0,i:133},
D{l:6,t:10,i:127},
D{l:7,t:10,i:1511},
D{l:8,t:10,i:613},
D{l:12,t:10,i:495},
D{l:12,t:10,i:586},
D{l:12,t:10,i:660},
D{l:12,t:10,i:668},
D{l:14,t:10,i:385},
D{l:15,t:10,i:118},
D{l:17,t:10,i:20},
D{l:146,t:10,i:98},
D{l:6,t:0,i:1785},
D{l:133,t:11,i:816},
D{l:134,t:0,i:1339},
D{l:7,t:0,i:961},
D{l:7,t:0,i:1085},
D{l:7,t:0,i:1727},
D{l:8,t:0,i:462},
D{l:6,t:10,i:230},
D{l:135,t:11,i:1727},
D{l:9,t:0,i:636},
D{l:135,t:10,i:1954},
D{l:132,t:0,i:780},
D{l:5,t:11,i:869},
D{l:5,t:11,i:968},
D{l:6,t:11,i:1626},
D{l:8,t:11,i:734},
D{l:136,t:11,i:784},
D{l:4,t:11,i:542},
D{l:6,t:11,i:1716},
D{l:6,t:11,i:1727},
D{l:7,t:11,i:1082},
D{l:7,t:11,i:1545},
D{l:8,t:11,i:56},
D{l:8,t:11,i:118},
D{l:8,t:11,i:412},
D{l:8,t:11,i:564},
D{l:9,t:11,i:888},
D{l:9,t:11,i:908},
D{l:10,t:11,i:50},
D{l:10,t:11,i:423},
D{l:11,t:11,i:685},
D{l:11,t:11,i:697},
D{l:11,t:11,i:933},
D{l:12,t:11,i:299},
D{l:13,t:11,i:126},
D{l:13,t:11,i:136},
D{l:13,t:11,i:170},
D{l:141,t:11,i:190},
D{l:134,t:11,i:226},
D{l:4,t:11,i:232},
D{l:9,t:11,i:202},
D{l:10,t:11,i:474},
D{l:140,t:11,i:433},
D{l:137,t:11,i:500},
D{l:5,t:0,i:529},
D{l:136,t:10,i:68},
D{l:132,t:10,i:654},
D{l:4,t:10,i:156},
D{l:7,t:10,i:998},
D{l:7,t:10,i:1045},
D{l:7,t:10,i:1860},
D{l:9,t:10,i:48},
D{l:9,t:10,i:692},
D{l:11,t:10,i:419},
D{l:139,t:10,i:602},
D{l:7,t:0,i:1276},
D{l:8,t:0,i:474},
D{l:9,t:0,i:652},
D{l:6,t:11,i:108},
D{l:7,t:11,i:1003},
D{l:7,t:11,i:1181},
D{l:136,t:11,i:343},
D{l:7,t:11,i:1264},
D{l:7,t:11,i:1678},
D{l:11,t:11,i:945},
D{l:12,t:11,i:341},
D{l:12,t:11,i:471},
D{l:140,t:11,i:569},
D{l:134,t:11,i:1712},
D{l:5,t:0,i:948},
D{l:12,t:0,i:468},
D{l:19,t:0,i:96},
D{l:148,t:0,i:24},
D{l:4,t:11,i:133},
D{l:7,t:11,i:711},
D{l:7,t:11,i:1298},
D{l:7,t:11,i:1585},
D{l:135,t:11,i:1929},
D{l:6,t:0,i:753},
D{l:140,t:0,i:657},
D{l:139,t:0,i:941},
D{l:6,t:11,i:99},
D{l:7,t:11,i:1808},
D{l:145,t:11,i:57},
D{l:6,t:11,i:574},
D{l:7,t:11,i:428},
D{l:7,t:11,i:1250},
D{l:10,t:11,i:669},
D{l:11,t:11,i:485},
D{l:11,t:11,i:840},
D{l:12,t:11,i:300},
D{l:142,t:11,i:250},
D{l:4,t:0,i:532},
D{l:5,t:0,i:706},
D{l:135,t:0,i:662},
D{l:5,t:0,i:837},
D{l:6,t:0,i:1651},
D{l:139,t:0,i:985},
D{l:7,t:0,i:1861},
D{l:9,t:10,i:197},
D{l:10,t:10,i:300},
D{l:12,t:10,i:473},
D{l:13,t:10,i:90},
D{l:141,t:10,i:405},
D{l:137,t:11,i:252},
D{l:6,t:11,i:323},
D{l:135,t:11,i:1564},
D{l:4,t:0,i:330},
D{l:4,t:0,i:863},
D{l:7,t:0,i:933},
D{l:7,t:0,i:2012},
D{l:8,t:0,i:292},
D{l:7,t:11,i:461},
D{l:8,t:11,i:775},
D{l:138,t:11,i:435},
D{l:132,t:10,i:606},
D{l:4,t:11,i:655},
D{l:7,t:11,i:850},
D{l:17,t:11,i:75},
D{l:146,t:11,i:137},
D{l:135,t:0,i:767},
D{l:7,t:10,i:1978},
D{l:136,t:10,i:676},
D{l:132,t:0,i:641},
D{l:135,t:11,i:1559},
D{l:134,t:0,i:1233},
D{l:137,t:0,i:242},
D{l:17,t:0,i:114},
D{l:4,t:10,i:361},
D{l:133,t:10,i:315},
D{l:137,t:0,i:883},
D{l:132,t:10,i:461},
D{l:138,t:0,i:274},
D{l:134,t:0,i:2008},
D{l:134,t:0,i:1794},
D{l:4,t:0,i:703},
D{l:135,t:0,i:207},
D{l:12,t:0,i:285},
D{l:132,t:10,i:472},
D{l:132,t:0,i:571},
D{l:5,t:0,i:873},
D{l:5,t:0,i:960},
D{l:8,t:0,i:823},
D{l:9,t:0,i:881},
D{l:136,t:11,i:577},
D{l:7,t:0,i:617},
D{l:10,t:0,i:498},
D{l:11,t:0,i:501},
D{l:12,t:0,i:16},
D{l:140,t:0,i:150},
D{l:138,t:10,i:747},
D{l:132,t:0,i:431},
D{l:133,t:10,i:155},
D{l:11,t:0,i:283},
D{l:11,t:0,i:567},
D{l:7,t:10,i:163},
D{l:8,t:10,i:319},
D{l:9,t:10,i:402},
D{l:10,t:10,i:24},
D{l:10,t:10,i:681},
D{l:11,t:10,i:200},
D{l:12,t:10,i:253},
D{l:12,t:10,i:410},
D{l:142,t:10,i:219},
D{l:4,t:11,i:413},
D{l:5,t:11,i:677},
D{l:8,t:11,i:432},
D{l:140,t:11,i:280},
D{l:9,t:0,i:401},
D{l:5,t:10,i:475},
D{l:7,t:10,i:1780},
D{l:11,t:10,i:297},
D{l:11,t:10,i:558},
D{l:14,t:10,i:322},
D{l:147,t:10,i:76},
D{l:6,t:0,i:781},
D{l:9,t:0,i:134},
D{l:10,t:0,i:2},
D{l:10,t:0,i:27},
D{l:10,t:0,i:333},
D{l:11,t:0,i:722},
D{l:143,t:0,i:1},
D{l:5,t:0,i:33},
D{l:6,t:0,i:470},
D{l:139,t:0,i:424},
D{l:135,t:0,i:2006},
D{l:12,t:0,i:783},
D{l:135,t:10,i:1956},
D{l:136,t:0,i:274},
D{l:135,t:0,i:1882},
D{l:132,t:0,i:794},
D{l:135,t:0,i:1848},
D{l:5,t:10,i:944},
D{l:134,t:10,i:1769},
D{l:6,t:0,i:47},
D{l:7,t:0,i:90},
D{l:7,t:0,i:664},
D{l:7,t:0,i:830},
D{l:7,t:0,i:1380},
D{l:7,t:0,i:2025},
D{l:8,t:0,i:448},
D{l:136,t:0,i:828},
D{l:132,t:10,i:144},
D{l:134,t:0,i:1199},
D{l:4,t:11,i:395},
D{l:139,t:11,i:762},
D{l:135,t:11,i:1504},
D{l:9,t:0,i:417},
D{l:137,t:0,i:493},
D{l:9,t:11,i:174},
D{l:10,t:11,i:164},
D{l:11,t:11,i:440},
D{l:11,t:11,i:841},
D{l:143,t:11,i:98},
D{l:134,t:11,i:426},
D{l:139,t:11,i:1002},
D{l:134,t:0,i:295},
D{l:134,t:0,i:816},
D{l:6,t:10,i:247},
D{l:137,t:10,i:555},
D{l:133,t:0,i:1019},
D{l:4,t:0,i:620},
D{l:5,t:11,i:476},
D{l:10,t:10,i:280},
D{l:138,t:10,i:797},
D{l:139,t:0,i:464},
D{l:5,t:11,i:76},
D{l:6,t:11,i:458},
D{l:6,t:11,i:497},
D{l:7,t:11,i:764},
D{l:7,t:11,i:868},
D{l:9,t:11,i:658},
D{l:10,t:11,i:594},
D{l:11,t:11,i:173},
D{l:11,t:11,i:566},
D{l:12,t:11,i:20},
D{l:12,t:11,i:338},
D{l:141,t:11,i:200},
D{l:134,t:0,i:208},
D{l:4,t:11,i:526},
D{l:7,t:11,i:1029},
D{l:135,t:11,i:1054},
D{l:132,t:11,i:636},
D{l:6,t:11,i:233},
D{l:7,t:11,i:660},
D{l:7,t:11,i:1124},
D{l:17,t:11,i:31},
D{l:19,t:11,i:22},
D{l:151,t:11,i:14},
D{l:10,t:0,i:442},
D{l:133,t:10,i:428},
D{l:10,t:0,i:930},
D{l:140,t:0,i:778},
D{l:6,t:0,i:68},
D{l:7,t:0,i:448},
D{l:7,t:0,i:1629},
D{l:7,t:0,i:1769},
D{l:7,t:0,i:1813},
D{l:8,t:0,i:442},
D{l:8,t:0,i:516},
D{l:9,t:0,i:710},
D{l:10,t:0,i:282},
D{l:10,t:0,i:722},
D{l:7,t:10,i:1717},
D{l:138,t:10,i:546},
D{l:134,t:0,i:1128},
D{l:11,t:0,i:844},
D{l:12,t:0,i:104},
D{l:140,t:0,i:625},
D{l:4,t:11,i:432},
D{l:135,t:11,i:824},
D{l:138,t:10,i:189},
D{l:133,t:0,i:787},
D{l:133,t:10,i:99},
D{l:4,t:11,i:279},
D{l:7,t:11,i:301},
D{l:137,t:11,i:362},
D{l:8,t:0,i:491},
D{l:4,t:10,i:397},
D{l:136,t:10,i:555},
D{l:4,t:11,i:178},
D{l:133,t:11,i:399},
D{l:134,t:0,i:711},
D{l:144,t:0,i:9},
D{l:4,t:0,i:403},
D{l:5,t:0,i:441},
D{l:7,t:0,i:450},
D{l:10,t:0,i:840},
D{l:11,t:0,i:101},
D{l:12,t:0,i:193},
D{l:141,t:0,i:430},
D{l:135,t:11,i:1246},
D{l:12,t:10,i:398},
D{l:20,t:10,i:39},
D{l:21,t:10,i:11},
D{l:150,t:10,i:41},
D{l:4,t:10,i:485},
D{l:7,t:10,i:353},
D{l:135,t:10,i:1523},
D{l:6,t:10,i:366},
D{l:7,t:10,i:1384},
D{l:7,t:10,i:1601},
D{l:135,t:11,i:1912},
D{l:7,t:0,i:396},
D{l:10,t:0,i:160},
D{l:135,t:11,i:396},
D{l:137,t:10,i:282},
D{l:134,t:11,i:1692},
D{l:4,t:10,i:157},
D{l:5,t:10,i:471},
D{l:6,t:11,i:202},
D{l:10,t:11,i:448},
D{l:11,t:11,i:208},
D{l:12,t:11,i:360},
D{l:17,t:11,i:117},
D{l:17,t:11,i:118},
D{l:18,t:11,i:27},
D{l:148,t:11,i:67},
D{l:133,t:0,i:679},
D{l:137,t:0,i:326},
D{l:136,t:10,i:116},
D{l:7,t:11,i:872},
D{l:10,t:11,i:516},
D{l:139,t:11,i:167},
D{l:132,t:11,i:224},
D{l:5,t:11,i:546},
D{l:7,t:11,i:35},
D{l:8,t:11,i:11},
D{l:8,t:11,i:12},
D{l:9,t:11,i:315},
D{l:9,t:11,i:533},
D{l:10,t:11,i:802},
D{l:11,t:11,i:166},
D{l:12,t:11,i:525},
D{l:142,t:11,i:243},
D{l:7,t:0,i:1128},
D{l:135,t:11,i:1920},
D{l:5,t:11,i:241},
D{l:8,t:11,i:242},
D{l:9,t:11,i:451},
D{l:10,t:11,i:667},
D{l:11,t:11,i:598},
D{l:140,t:11,i:429},
D{l:6,t:0,i:737},
D{l:5,t:10,i:160},
D{l:7,t:10,i:363},
D{l:7,t:10,i:589},
D{l:10,t:10,i:170},
D{l:141,t:10,i:55},
D{l:135,t:0,i:1796},
D{l:142,t:11,i:254},
D{l:4,t:0,i:574},
D{l:7,t:0,i:350},
D{l:7,t:0,i:1024},
D{l:8,t:0,i:338},
D{l:9,t:0,i:677},
D{l:138,t:0,i:808},
D{l:134,t:0,i:1096},
D{l:137,t:11,i:516},
D{l:7,t:0,i:405},
D{l:10,t:0,i:491},
D{l:4,t:10,i:108},
D{l:4,t:11,i:366},
D{l:139,t:10,i:498},
D{l:11,t:11,i:337},
D{l:142,t:11,i:303},
D{l:134,t:11,i:1736},
D{l:7,t:0,i:1081},
D{l:140,t:11,i:364},
D{l:7,t:10,i:1005},
D{l:140,t:10,i:609},
D{l:7,t:0,i:1676},
D{l:4,t:10,i:895},
D{l:133,t:10,i:772},
D{l:135,t:0,i:2037},
D{l:6,t:0,i:1207},
D{l:11,t:11,i:916},
D{l:142,t:11,i:419},
D{l:14,t:11,i:140},
D{l:148,t:11,i:41},
D{l:6,t:11,i:331},
D{l:136,t:11,i:623},
D{l:9,t:0,i:944},
D{l:9,t:0,i:969},
D{l:9,t:0,i:1022},
D{l:12,t:0,i:913},
D{l:12,t:0,i:936},
D{l:15,t:0,i:177},
D{l:15,t:0,i:193},
D{l:4,t:10,i:926},
D{l:133,t:10,i:983},
D{l:5,t:0,i:354},
D{l:135,t:11,i:506},
D{l:8,t:0,i:598},
D{l:9,t:0,i:664},
D{l:138,t:0,i:441},
D{l:4,t:11,i:640},
D{l:133,t:11,i:513},
D{l:137,t:0,i:297},
D{l:132,t:10,i:538},
D{l:6,t:10,i:294},
D{l:7,t:10,i:1267},
D{l:136,t:10,i:624},
D{l:7,t:0,i:1772},
D{l:7,t:11,i:1888},
D{l:8,t:11,i:289},
D{l:11,t:11,i:45},
D{l:12,t:11,i:278},
D{l:140,t:11,i:537},
D{l:135,t:10,i:1325},
D{l:138,t:0,i:751},
D{l:141,t:0,i:37},
D{l:134,t:0,i:1828},
D{l:132,t:10,i:757},
D{l:132,t:11,i:394},
D{l:6,t:0,i:257},
D{l:135,t:0,i:1522},
D{l:4,t:0,i:582},
D{l:9,t:0,i:191},
D{l:135,t:11,i:1931},
D{l:7,t:11,i:574},
D{l:7,t:11,i:1719},
D{l:137,t:11,i:145},
D{l:132,t:11,i:658},
D{l:10,t:0,i:790},
D{l:132,t:11,i:369},
D{l:9,t:11,i:781},
D{l:10,t:11,i:144},
D{l:11,t:11,i:385},
D{l:13,t:11,i:161},
D{l:13,t:11,i:228},
D{l:13,t:11,i:268},
D{l:148,t:11,i:107},
D{l:8,t:0,i:469},
D{l:10,t:0,i:47},
D{l:136,t:11,i:374},
D{l:6,t:0,i:306},
D{l:7,t:0,i:1140},
D{l:7,t:0,i:1340},
D{l:8,t:0,i:133},
D{l:138,t:0,i:449},
D{l:139,t:0,i:1011},
D{l:7,t:10,i:1875},
D{l:139,t:10,i:124},
D{l:4,t:11,i:344},
D{l:6,t:11,i:498},
D{l:139,t:11,i:323},
D{l:137,t:0,i:299},
D{l:132,t:0,i:837},
D{l:133,t:11,i:906},
D{l:5,t:0,i:329},
D{l:8,t:0,i:260},
D{l:138,t:0,i:10},
D{l:134,t:0,i:1320},
D{l:4,t:0,i:657},
D{l:146,t:0,i:158},
D{l:135,t:0,i:1191},
D{l:152,t:0,i:7},
D{l:6,t:0,i:1939},
D{l:8,t:0,i:974},
D{l:138,t:0,i:996},
D{l:135,t:0,i:1665},
D{l:11,t:11,i:126},
D{l:139,t:11,i:287},
D{l:143,t:0,i:8},
D{l:14,t:11,i:149},
D{l:14,t:11,i:399},
D{l:143,t:11,i:57},
D{l:5,t:0,i:66},
D{l:7,t:0,i:1896},
D{l:136,t:0,i:288},
D{l:7,t:0,i:175},
D{l:10,t:0,i:494},
D{l:5,t:10,i:150},
D{l:8,t:10,i:603},
D{l:9,t:10,i:593},
D{l:9,t:10,i:634},
D{l:10,t:10,i:173},
D{l:11,t:10,i:462},
D{l:11,t:10,i:515},
D{l:13,t:10,i:216},
D{l:13,t:10,i:288},
D{l:142,t:10,i:400},
D{l:134,t:0,i:1643},
D{l:136,t:11,i:21},
D{l:4,t:0,i:21},
D{l:5,t:0,i:91},
D{l:5,t:0,i:648},
D{l:5,t:0,i:750},
D{l:5,t:0,i:781},
D{l:6,t:0,i:54},
D{l:6,t:0,i:112},
D{l:6,t:0,i:402},
D{l:6,t:0,i:1732},
D{l:7,t:0,i:315},
D{l:7,t:0,i:749},
D{l:7,t:0,i:1427},
D{l:7,t:0,i:1900},
D{l:9,t:0,i:78},
D{l:9,t:0,i:508},
D{l:10,t:0,i:611},
D{l:10,t:0,i:811},
D{l:11,t:0,i:510},
D{l:11,t:0,i:728},
D{l:13,t:0,i:36},
D{l:14,t:0,i:39},
D{l:16,t:0,i:83},
D{l:17,t:0,i:124},
D{l:148,t:0,i:30},
D{l:4,t:0,i:668},
D{l:136,t:0,i:570},
D{l:10,t:0,i:322},
D{l:10,t:0,i:719},
D{l:139,t:0,i:407},
D{l:135,t:11,i:1381},
D{l:136,t:11,i:193},
D{l:12,t:10,i:108},
D{l:141,t:10,i:291},
D{l:132,t:11,i:616},
D{l:136,t:11,i:692},
D{l:8,t:0,i:125},
D{l:8,t:0,i:369},
D{l:8,t:0,i:524},
D{l:10,t:0,i:486},
D{l:11,t:0,i:13},
D{l:11,t:0,i:381},
D{l:11,t:0,i:736},
D{l:11,t:0,i:766},
D{l:11,t:0,i:845},
D{l:13,t:0,i:114},
D{l:13,t:0,i:292},
D{l:142,t:0,i:47},
D{l:134,t:0,i:1247},
D{l:6,t:0,i:1684},
D{l:6,t:0,i:1731},
D{l:7,t:0,i:356},
D{l:8,t:0,i:54},
D{l:8,t:0,i:221},
D{l:9,t:0,i:225},
D{l:9,t:0,i:356},
D{l:10,t:0,i:77},
D{l:10,t:0,i:446},
D{l:10,t:0,i:731},
D{l:12,t:0,i:404},
D{l:141,t:0,i:491},
D{l:135,t:10,i:1777},
D{l:4,t:11,i:305},
D{l:4,t:10,i:493},
D{l:144,t:10,i:55},
D{l:4,t:0,i:951},
D{l:6,t:0,i:1809},
D{l:6,t:0,i:1849},
D{l:8,t:0,i:846},
D{l:8,t:0,i:866},
D{l:8,t:0,i:899},
D{l:10,t:0,i:896},
D{l:12,t:0,i:694},
D{l:142,t:0,i:468},
D{l:5,t:11,i:214},
D{l:7,t:11,i:603},
D{l:8,t:11,i:611},
D{l:9,t:11,i:686},
D{l:10,t:11,i:88},
D{l:11,t:11,i:459},
D{l:11,t:11,i:496},
D{l:12,t:11,i:463},
D{l:12,t:11,i:590},
D{l:13,t:11,i:0},
D{l:142,t:11,i:214},
D{l:132,t:0,i:411},
D{l:4,t:0,i:80},
D{l:133,t:0,i:44},
D{l:140,t:11,i:74},
D{l:143,t:0,i:31},
D{l:7,t:0,i:669},
D{l:6,t:10,i:568},
D{l:7,t:10,i:1804},
D{l:8,t:10,i:362},
D{l:8,t:10,i:410},
D{l:8,t:10,i:830},
D{l:9,t:10,i:514},
D{l:11,t:10,i:649},
D{l:142,t:10,i:157},
D{l:7,t:0,i:673},
D{l:134,t:11,i:1703},
D{l:132,t:10,i:625},
D{l:134,t:0,i:1303},
D{l:5,t:0,i:299},
D{l:135,t:0,i:1083},
D{l:138,t:0,i:704},
D{l:6,t:0,i:275},
D{l:7,t:0,i:408},
D{l:6,t:10,i:158},
D{l:7,t:10,i:129},
D{l:7,t:10,i:181},
D{l:8,t:10,i:276},
D{l:8,t:10,i:377},
D{l:10,t:10,i:523},
D{l:11,t:10,i:816},
D{l:12,t:10,i:455},
D{l:13,t:10,i:303},
D{l:142,t:10,i:135},
D{l:4,t:0,i:219},
D{l:7,t:0,i:367},
D{l:7,t:0,i:1713},
D{l:7,t:0,i:1761},
D{l:9,t:0,i:86},
D{l:9,t:0,i:537},
D{l:10,t:0,i:165},
D{l:12,t:0,i:219},
D{l:140,t:0,i:561},
D{l:8,t:0,i:216},
D{l:4,t:10,i:1},
D{l:4,t:11,i:737},
D{l:6,t:11,i:317},
D{l:7,t:10,i:1143},
D{l:7,t:10,i:1463},
D{l:9,t:10,i:207},
D{l:9,t:10,i:390},
D{l:9,t:10,i:467},
D{l:10,t:11,i:98},
D{l:11,t:11,i:294},
D{l:11,t:10,i:836},
D{l:12,t:11,i:60},
D{l:12,t:11,i:437},
D{l:13,t:11,i:64},
D{l:13,t:11,i:380},
D{l:142,t:11,i:430},
D{l:6,t:11,i:1758},
D{l:8,t:11,i:520},
D{l:9,t:11,i:345},
D{l:9,t:11,i:403},
D{l:142,t:11,i:350},
D{l:5,t:11,i:47},
D{l:10,t:11,i:242},
D{l:138,t:11,i:579},
D{l:5,t:11,i:139},
D{l:7,t:11,i:1168},
D{l:138,t:11,i:539},
D{l:135,t:0,i:1319},
D{l:4,t:10,i:295},
D{l:4,t:10,i:723},
D{l:5,t:10,i:895},
D{l:7,t:10,i:1031},
D{l:8,t:10,i:199},
D{l:8,t:10,i:340},
D{l:9,t:10,i:153},
D{l:9,t:10,i:215},
D{l:10,t:10,i:21},
D{l:10,t:10,i:59},
D{l:10,t:10,i:80},
D{l:10,t:10,i:224},
D{l:10,t:10,i:838},
D{l:11,t:10,i:229},
D{l:11,t:10,i:652},
D{l:12,t:10,i:192},
D{l:13,t:10,i:146},
D{l:142,t:10,i:91},
D{l:140,t:0,i:428},
D{l:137,t:10,i:51},
D{l:133,t:0,i:514},
D{l:5,t:10,i:309},
D{l:140,t:10,i:211},
D{l:6,t:0,i:1010},
D{l:5,t:10,i:125},
D{l:8,t:10,i:77},
D{l:138,t:10,i:15},
D{l:4,t:0,i:55},
D{l:5,t:0,i:301},
D{l:6,t:0,i:571},
D{l:142,t:0,i:49},
D{l:146,t:0,i:102},
D{l:136,t:11,i:370},
D{l:4,t:11,i:107},
D{l:7,t:11,i:613},
D{l:8,t:11,i:358},
D{l:8,t:11,i:439},
D{l:8,t:11,i:504},
D{l:9,t:11,i:501},
D{l:10,t:11,i:383},
D{l:139,t:11,i:477},
D{l:132,t:11,i:229},
D{l:133,t:0,i:364},
D{l:133,t:10,i:439},
D{l:4,t:11,i:903},
D{l:135,t:11,i:1816},
D{l:11,t:0,i:379},
D{l:140,t:10,i:76},
D{l:4,t:0,i:76},
D{l:4,t:0,i:971},
D{l:7,t:0,i:1550},
D{l:9,t:0,i:306},
D{l:9,t:0,i:430},
D{l:9,t:0,i:663},
D{l:10,t:0,i:683},
D{l:10,t:0,i:921},
D{l:11,t:0,i:427},
D{l:11,t:0,i:753},
D{l:12,t:0,i:334},
D{l:12,t:0,i:442},
D{l:14,t:0,i:258},
D{l:14,t:0,i:366},
D{l:143,t:0,i:131},
D{l:137,t:0,i:52},
D{l:4,t:11,i:47},
D{l:6,t:11,i:373},
D{l:7,t:11,i:452},
D{l:7,t:11,i:543},
D{l:7,t:11,i:1714},
D{l:7,t:11,i:1856},
D{l:9,t:11,i:6},
D{l:11,t:11,i:257},
D{l:139,t:11,i:391},
D{l:4,t:10,i:8},
D{l:7,t:10,i:1152},
D{l:7,t:10,i:1153},
D{l:7,t:10,i:1715},
D{l:9,t:10,i:374},
D{l:10,t:10,i:478},
D{l:139,t:10,i:648},
D{l:4,t:11,i:785},
D{l:133,t:11,i:368},
D{l:135,t:10,i:1099},
D{l:135,t:11,i:860},
D{l:5,t:11,i:980},
D{l:134,t:11,i:1754},
D{l:134,t:0,i:1258},
D{l:6,t:0,i:1058},
D{l:6,t:0,i:1359},
D{l:7,t:11,i:536},
D{l:7,t:11,i:1331},
D{l:136,t:11,i:143},
D{l:4,t:0,i:656},
D{l:135,t:0,i:779},
D{l:136,t:10,i:87},
D{l:5,t:11,i:19},
D{l:6,t:11,i:533},
D{l:146,t:11,i:126},
D{l:7,t:0,i:144},
D{l:138,t:10,i:438},
D{l:5,t:11,i:395},
D{l:5,t:11,i:951},
D{l:134,t:11,i:1776},
D{l:135,t:0,i:1373},
D{l:7,t:0,i:554},
D{l:7,t:0,i:605},
D{l:141,t:0,i:10},
D{l:4,t:10,i:69},
D{l:5,t:10,i:122},
D{l:9,t:10,i:656},
D{l:138,t:10,i:464},
D{l:5,t:10,i:849},
D{l:134,t:10,i:1633},
D{l:5,t:0,i:838},
D{l:5,t:0,i:841},
D{l:134,t:0,i:1649},
D{l:133,t:0,i:1012},
D{l:139,t:10,i:499},
D{l:7,t:10,i:476},
D{l:7,t:10,i:1592},
D{l:138,t:10,i:87},
D{l:6,t:0,i:251},
D{l:7,t:0,i:365},
D{l:7,t:0,i:1357},
D{l:7,t:0,i:1497},
D{l:8,t:0,i:154},
D{l:141,t:0,i:281},
D{l:132,t:11,i:441},
D{l:132,t:11,i:695},
D{l:7,t:11,i:497},
D{l:9,t:11,i:387},
D{l:147,t:11,i:81},
D{l:133,t:0,i:340},
D{l:14,t:10,i:283},
D{l:142,t:11,i:283},
D{l:134,t:0,i:810},
D{l:135,t:11,i:1894},
D{l:139,t:0,i:495},
D{l:5,t:11,i:284},
D{l:6,t:11,i:49},
D{l:6,t:11,i:350},
D{l:7,t:11,i:1},
D{l:7,t:11,i:377},
D{l:7,t:11,i:1693},
D{l:8,t:11,i:18},
D{l:8,t:11,i:678},
D{l:9,t:11,i:161},
D{l:9,t:11,i:585},
D{l:9,t:11,i:671},
D{l:9,t:11,i:839},
D{l:11,t:11,i:912},
D{l:141,t:11,i:427},
D{l:5,t:10,i:859},
D{l:7,t:10,i:1160},
D{l:8,t:10,i:107},
D{l:9,t:10,i:291},
D{l:9,t:10,i:439},
D{l:10,t:10,i:663},
D{l:11,t:10,i:609},
D{l:140,t:10,i:197},
D{l:8,t:0,i:261},
D{l:9,t:0,i:144},
D{l:9,t:0,i:466},
D{l:10,t:0,i:370},
D{l:12,t:0,i:470},
D{l:13,t:0,i:144},
D{l:142,t:0,i:348},
D{l:137,t:0,i:897},
D{l:6,t:0,i:248},
D{l:9,t:0,i:546},
D{l:10,t:0,i:535},
D{l:11,t:0,i:681},
D{l:141,t:0,i:135},
D{l:4,t:0,i:358},
D{l:135,t:0,i:1496},
D{l:134,t:0,i:567},
D{l:136,t:0,i:445},
D{l:4,t:10,i:117},
D{l:6,t:10,i:372},
D{l:7,t:10,i:1905},
D{l:142,t:10,i:323},
D{l:4,t:10,i:722},
D{l:139,t:10,i:471},
D{l:6,t:0,i:697},
D{l:134,t:0,i:996},
D{l:7,t:11,i:2007},
D{l:9,t:11,i:101},
D{l:9,t:11,i:450},
D{l:10,t:11,i:66},
D{l:10,t:11,i:842},
D{l:11,t:11,i:536},
D{l:140,t:11,i:587},
D{l:132,t:0,i:577},
D{l:134,t:0,i:1336},
D{l:9,t:10,i:5},
D{l:12,t:10,i:216},
D{l:12,t:10,i:294},
D{l:12,t:10,i:298},
D{l:12,t:10,i:400},
D{l:12,t:10,i:518},
D{l:13,t:10,i:229},
D{l:143,t:10,i:139},
D{l:6,t:0,i:174},
D{l:138,t:0,i:917},
D{l:134,t:10,i:1774},
D{l:5,t:10,i:12},
D{l:7,t:10,i:375},
D{l:9,t:10,i:88},
D{l:9,t:10,i:438},
D{l:11,t:11,i:62},
D{l:139,t:10,i:270},
D{l:134,t:11,i:1766},
D{l:6,t:11,i:0},
D{l:7,t:11,i:84},
D{l:7,t:10,i:816},
D{l:7,t:10,i:1241},
D{l:9,t:10,i:283},
D{l:9,t:10,i:520},
D{l:10,t:10,i:213},
D{l:10,t:10,i:307},
D{l:10,t:10,i:463},
D{l:10,t:10,i:671},
D{l:10,t:10,i:746},
D{l:11,t:10,i:401},
D{l:11,t:10,i:794},
D{l:11,t:11,i:895},
D{l:12,t:10,i:517},
D{l:17,t:11,i:11},
D{l:18,t:10,i:107},
D{l:147,t:10,i:115},
D{l:5,t:0,i:878},
D{l:133,t:0,i:972},
D{l:6,t:11,i:1665},
D{l:7,t:11,i:256},
D{l:7,t:11,i:1388},
D{l:138,t:11,i:499},
D{l:4,t:10,i:258},
D{l:136,t:10,i:639},
D{l:4,t:11,i:22},
D{l:5,t:11,i:10},
D{l:6,t:10,i:22},
D{l:7,t:11,i:848},
D{l:7,t:10,i:903},
D{l:7,t:10,i:1963},
D{l:8,t:11,i:97},
D{l:138,t:10,i:577},
D{l:5,t:10,i:681},
D{l:136,t:10,i:782},
D{l:133,t:11,i:481},
D{l:132,t:0,i:351},
D{l:4,t:10,i:664},
D{l:5,t:10,i:804},
D{l:139,t:10,i:1013},
D{l:6,t:11,i:134},
D{l:7,t:11,i:437},
D{l:7,t:11,i:959},
D{l:9,t:11,i:37},
D{l:14,t:11,i:285},
D{l:14,t:11,i:371},
D{l:144,t:11,i:60},
D{l:7,t:11,i:486},
D{l:8,t:11,i:155},
D{l:11,t:11,i:93},
D{l:140,t:11,i:164},
D{l:132,t:0,i:286},
D{l:7,t:0,i:438},
D{l:7,t:0,i:627},
D{l:7,t:0,i:1516},
D{l:8,t:0,i:40},
D{l:9,t:0,i:56},
D{l:9,t:0,i:294},
D{l:10,t:0,i:30},
D{l:11,t:0,i:969},
D{l:11,t:0,i:995},
D{l:146,t:0,i:148},
D{l:5,t:11,i:591},
D{l:135,t:11,i:337},
D{l:134,t:0,i:1950},
D{l:133,t:10,i:32},
D{l:138,t:11,i:500},
D{l:5,t:11,i:380},
D{l:5,t:11,i:650},
D{l:136,t:11,i:310},
D{l:4,t:11,i:364},
D{l:7,t:11,i:1156},
D{l:7,t:11,i:1187},
D{l:137,t:11,i:409},
D{l:4,t:0,i:738},
D{l:134,t:11,i:482},
D{l:4,t:11,i:781},
D{l:6,t:11,i:487},
D{l:7,t:11,i:926},
D{l:8,t:11,i:263},
D{l:139,t:11,i:500},
D{l:135,t:11,i:418},
D{l:6,t:0,i:2047},
D{l:10,t:0,i:969},
D{l:4,t:10,i:289},
D{l:7,t:10,i:629},
D{l:7,t:10,i:1698},
D{l:7,t:10,i:1711},
D{l:140,t:10,i:215},
D{l:6,t:10,i:450},
D{l:136,t:10,i:109},
D{l:134,t:0,i:818},
D{l:136,t:10,i:705},
D{l:133,t:0,i:866},
D{l:4,t:11,i:94},
D{l:135,t:11,i:1265},
D{l:132,t:11,i:417},
D{l:134,t:0,i:1467},
D{l:135,t:10,i:1238},
D{l:4,t:0,i:972},
D{l:6,t:0,i:1851},
D{l:134,t:0,i:1857},
D{l:134,t:0,i:355},
D{l:133,t:0,i:116},
D{l:132,t:0,i:457},
D{l:135,t:11,i:1411},
D{l:4,t:11,i:408},
D{l:4,t:11,i:741},
D{l:135,t:11,i:500},
D{l:134,t:10,i:26},
D{l:142,t:11,i:137},
D{l:5,t:0,i:527},
D{l:6,t:0,i:189},
D{l:7,t:0,i:859},
D{l:136,t:0,i:267},
D{l:11,t:0,i:104},
D{l:11,t:0,i:554},
D{l:15,t:0,i:60},
D{l:143,t:0,i:125},
D{l:134,t:0,i:1613},
D{l:4,t:10,i:414},
D{l:5,t:10,i:467},
D{l:9,t:10,i:654},
D{l:10,t:10,i:451},
D{l:12,t:10,i:59},
D{l:141,t:10,i:375},
D{l:135,t:10,i:17},
D{l:134,t:0,i:116},
D{l:135,t:11,i:541},
D{l:135,t:10,i:955},
D{l:6,t:11,i:73},
D{l:135,t:11,i:177},
D{l:133,t:11,i:576},
D{l:134,t:0,i:886},
D{l:133,t:0,i:487},
D{l:4,t:0,i:86},
D{l:5,t:0,i:667},
D{l:5,t:0,i:753},
D{l:6,t:0,i:316},
D{l:6,t:0,i:455},
D{l:135,t:0,i:946},
D{l:142,t:11,i:231},
D{l:150,t:0,i:45},
D{l:134,t:0,i:863},
D{l:134,t:0,i:1953},
D{l:6,t:10,i:280},
D{l:10,t:10,i:502},
D{l:11,t:10,i:344},
D{l:140,t:10,i:38},
D{l:4,t:0,i:79},
D{l:7,t:0,i:1773},
D{l:10,t:0,i:450},
D{l:11,t:0,i:589},
D{l:13,t:0,i:332},
D{l:13,t:0,i:493},
D{l:14,t:0,i:183},
D{l:14,t:0,i:334},
D{l:14,t:0,i:362},
D{l:14,t:0,i:368},
D{l:14,t:0,i:376},
D{l:14,t:0,i:379},
D{l:19,t:0,i:90},
D{l:19,t:0,i:103},
D{l:19,t:0,i:127},
D{l:148,t:0,i:90},
D{l:5,t:10,i:45},
D{l:7,t:10,i:1161},
D{l:11,t:10,i:448},
D{l:11,t:10,i:880},
D{l:13,t:10,i:139},
D{l:13,t:10,i:407},
D{l:15,t:10,i:16},
D{l:17,t:10,i:95},
D{l:18,t:10,i:66},
D{l:18,t:10,i:88},
D{l:18,t:10,i:123},
D{l:149,t:10,i:7},
D{l:136,t:10,i:777},
D{l:4,t:10,i:410},
D{l:135,t:10,i:521},
D{l:135,t:10,i:1778},
D{l:135,t:11,i:538},
D{l:142,t:0,i:381},
D{l:133,t:11,i:413},
D{l:134,t:0,i:1142},
D{l:6,t:0,i:1189},
D{l:136,t:11,i:495},
D{l:5,t:0,i:663},
D{l:6,t:0,i:1962},
D{l:134,t:0,i:2003},
D{l:7,t:11,i:54},
D{l:8,t:11,i:312},
D{l:10,t:11,i:191},
D{l:10,t:11,i:614},
D{l:140,t:11,i:567},
D{l:132,t:10,i:436},
D{l:133,t:0,i:846},
D{l:10,t:0,i:528},
D{l:11,t:0,i:504},
D{l:7,t:10,i:1587},
D{l:135,t:10,i:1707},
D{l:5,t:0,i:378},
D{l:8,t:0,i:465},
D{l:9,t:0,i:286},
D{l:10,t:0,i:185},
D{l:10,t:0,i:562},
D{l:10,t:0,i:635},
D{l:11,t:0,i:31},
D{l:11,t:0,i:393},
D{l:13,t:0,i:312},
D{l:18,t:0,i:65},
D{l:18,t:0,i:96},
D{l:147,t:0,i:89},
D{l:7,t:0,i:899},
D{l:14,t:0,i:325},
D{l:6,t:11,i:468},
D{l:7,t:11,i:567},
D{l:7,t:11,i:1478},
D{l:8,t:11,i:530},
D{l:142,t:11,i:290},
D{l:7,t:0,i:1880},
D{l:9,t:0,i:680},
D{l:139,t:0,i:798},
D{l:134,t:0,i:1770},
D{l:132,t:0,i:648},
D{l:150,t:11,i:35},
D{l:5,t:0,i:945},
D{l:6,t:0,i:1656},
D{l:6,t:0,i:1787},
D{l:7,t:0,i:167},
D{l:8,t:0,i:824},
D{l:9,t:0,i:391},
D{l:10,t:0,i:375},
D{l:139,t:0,i:185},
D{l:6,t:11,i:484},
D{l:135,t:11,i:822},
D{l:134,t:0,i:2046},
D{l:7,t:0,i:1645},
D{l:8,t:0,i:352},
D{l:137,t:0,i:249},
D{l:132,t:0,i:152},
D{l:6,t:0,i:611},
D{l:135,t:0,i:1733},
D{l:6,t:11,i:1724},
D{l:135,t:11,i:2022},
D{l:133,t:0,i:1006},
D{l:141,t:11,i:96},
D{l:5,t:0,i:420},
D{l:135,t:0,i:1449},
D{l:146,t:11,i:149},
D{l:135,t:0,i:832},
D{l:135,t:10,i:663},
D{l:133,t:0,i:351},
D{l:5,t:0,i:40},
D{l:7,t:0,i:598},
D{l:7,t:0,i:1638},
D{l:8,t:0,i:78},
D{l:9,t:0,i:166},
D{l:9,t:0,i:640},
D{l:9,t:0,i:685},
D{l:9,t:0,i:773},
D{l:11,t:0,i:215},
D{l:13,t:0,i:65},
D{l:14,t:0,i:172},
D{l:14,t:0,i:317},
D{l:145,t:0,i:6},
D{l:8,t:0,i:60},
D{l:9,t:0,i:343},
D{l:139,t:0,i:769},
D{l:134,t:0,i:1354},
D{l:132,t:0,i:724},
D{l:137,t:0,i:745},
D{l:132,t:11,i:474},
D{l:7,t:0,i:1951},
D{l:8,t:0,i:765},
D{l:8,t:0,i:772},
D{l:140,t:0,i:671},
D{l:7,t:0,i:108},
D{l:8,t:0,i:219},
D{l:8,t:0,i:388},
D{l:9,t:0,i:775},
D{l:11,t:0,i:275},
D{l:140,t:0,i:464},
D{l:137,t:0,i:639},
D{l:135,t:10,i:503},
D{l:133,t:11,i:366},
D{l:5,t:0,i:15},
D{l:6,t:0,i:56},
D{l:7,t:0,i:1758},
D{l:8,t:0,i:500},
D{l:9,t:0,i:730},
D{l:11,t:0,i:331},
D{l:13,t:0,i:150},
D{l:14,t:0,i:282},
D{l:5,t:11,i:305},
D{l:9,t:11,i:560},
D{l:141,t:11,i:208},
D{l:4,t:10,i:113},
D{l:5,t:10,i:163},
D{l:5,t:10,i:735},
D{l:7,t:10,i:1009},
D{l:9,t:10,i:9},
D{l:9,t:10,i:771},
D{l:12,t:10,i:90},
D{l:13,t:10,i:138},
D{l:13,t:10,i:410},
D{l:143,t:10,i:128},
D{l:4,t:10,i:324},
D{l:138,t:10,i:104},
D{l:135,t:11,i:466},
D{l:142,t:11,i:27},
D{l:134,t:0,i:1886},
D{l:5,t:0,i:205},
D{l:6,t:0,i:438},
D{l:9,t:0,i:711},
D{l:4,t:11,i:480},
D{l:6,t:11,i:167},
D{l:6,t:11,i:302},
D{l:6,t:11,i:1642},
D{l:7,t:11,i:130},
D{l:7,t:11,i:656},
D{l:7,t:11,i:837},
D{l:7,t:11,i:1547},
D{l:7,t:11,i:1657},
D{l:8,t:11,i:429},
D{l:9,t:11,i:228},
D{l:10,t:11,i:643},
D{l:13,t:11,i:289},
D{l:13,t:11,i:343},
D{l:147,t:11,i:101},
D{l:134,t:0,i:865},
D{l:6,t:0,i:2025},
D{l:136,t:0,i:965},
D{l:7,t:11,i:278},
D{l:10,t:11,i:739},
D{l:11,t:11,i:708},
D{l:141,t:11,i:348},
D{l:133,t:0,i:534},
D{l:135,t:11,i:1922},
D{l:137,t:0,i:691},
D{l:4,t:10,i:935},
D{l:133,t:10,i:823},
D{l:6,t:0,i:443},
D{l:9,t:0,i:237},
D{l:9,t:0,i:571},
D{l:9,t:0,i:695},
D{l:10,t:0,i:139},
D{l:11,t:0,i:715},
D{l:12,t:0,i:417},
D{l:141,t:0,i:421},
D{l:5,t:10,i:269},
D{l:7,t:10,i:434},
D{l:7,t:10,i:891},
D{l:8,t:10,i:339},
D{l:9,t:10,i:702},
D{l:11,t:10,i:594},
D{l:11,t:10,i:718},
D{l:145,t:10,i:100},
D{l:6,t:0,i:1555},
D{l:7,t:0,i:878},
D{l:9,t:10,i:485},
D{l:141,t:10,i:264},
D{l:134,t:10,i:1713},
D{l:7,t:10,i:1810},
D{l:11,t:10,i:866},
D{l:12,t:10,i:103},
D{l:141,t:10,i:495},
D{l:135,t:10,i:900},
D{l:6,t:0,i:1410},
D{l:9,t:11,i:316},
D{l:139,t:11,i:256},
D{l:4,t:0,i:995},
D{l:135,t:0,i:1033},
D{l:132,t:0,i:578},
D{l:10,t:0,i:881},
D{l:12,t:0,i:740},
D{l:12,t:0,i:743},
D{l:140,t:0,i:759},
D{l:132,t:0,i:822},
D{l:133,t:0,i:923},
D{l:142,t:10,i:143},
D{l:135,t:11,i:1696},
D{l:6,t:11,i:363},
D{l:7,t:11,i:1955},
D{l:136,t:11,i:725},
D{l:132,t:0,i:924},
D{l:133,t:0,i:665},
D{l:135,t:10,i:2029},
D{l:135,t:0,i:1901},
D{l:4,t:0,i:265},
D{l:6,t:0,i:1092},
D{l:6,t:0,i:1417},
D{l:7,t:0,i:807},
D{l:135,t:0,i:950},
D{l:5,t:0,i:93},
D{l:12,t:0,i:267},
D{l:141,t:0,i:498},
D{l:135,t:0,i:1451},
D{l:5,t:11,i:813},
D{l:135,t:11,i:2046},
D{l:5,t:10,i:625},
D{l:135,t:10,i:1617},
D{l:135,t:0,i:747},
D{l:6,t:0,i:788},
D{l:137,t:0,i:828},
D{l:7,t:0,i:184},
D{l:11,t:0,i:307},
D{l:11,t:0,i:400},
D{l:15,t:0,i:130},
D{l:5,t:11,i:712},
D{l:7,t:11,i:1855},
D{l:8,t:10,i:425},
D{l:8,t:10,i:693},
D{l:9,t:10,i:720},
D{l:10,t:10,i:380},
D{l:10,t:10,i:638},
D{l:11,t:11,i:17},
D{l:11,t:10,i:473},
D{l:12,t:10,i:61},
D{l:13,t:11,i:321},
D{l:144,t:11,i:67},
D{l:135,t:0,i:198},
D{l:6,t:11,i:320},
D{l:7,t:11,i:781},
D{l:7,t:11,i:1921},
D{l:9,t:11,i:55},
D{l:10,t:11,i:186},
D{l:10,t:11,i:273},
D{l:10,t:11,i:664},
D{l:10,t:11,i:801},
D{l:11,t:11,i:996},
D{l:11,t:11,i:997},
D{l:13,t:11,i:157},
D{l:142,t:11,i:170},
D{l:136,t:11,i:271},
D{l:135,t:0,i:994},
D{l:7,t:11,i:103},
D{l:7,t:11,i:863},
D{l:11,t:11,i:184},
D{l:14,t:11,i:299},
D{l:145,t:11,i:62},
D{l:11,t:10,i:551},
D{l:142,t:10,i:159},
D{l:5,t:0,i:233},
D{l:5,t:0,i:320},
D{l:6,t:0,i:140},
D{l:8,t:0,i:295},
D{l:8,t:0,i:615},
D{l:136,t:11,i:615},
D{l:133,t:0,i:978},
D{l:4,t:0,i:905},
D{l:6,t:0,i:1701},
D{l:137,t:0,i:843},
D{l:132,t:10,i:168},
D{l:4,t:0,i:974},
D{l:8,t:0,i:850},
D{l:12,t:0,i:709},
D{l:12,t:0,i:768},
D{l:140,t:0,i:786},
D{l:135,t:10,i:91},
D{l:152,t:0,i:6},
D{l:138,t:10,i:532},
D{l:135,t:10,i:1884},
D{l:132,t:0,i:509},
D{l:6,t:0,i:1307},
D{l:135,t:0,i:273},
D{l:5,t:11,i:77},
D{l:7,t:11,i:1455},
D{l:10,t:11,i:843},
D{l:19,t:11,i:73},
D{l:150,t:11,i:5},
D{l:132,t:11,i:458},
D{l:135,t:11,i:1420},
D{l:6,t:11,i:109},
D{l:138,t:11,i:382},
D{l:6,t:0,i:201},
D{l:6,t:11,i:330},
D{l:7,t:10,i:70},
D{l:7,t:11,i:1084},
D{l:10,t:10,i:240},
D{l:11,t:11,i:142},
D{l:147,t:10,i:93},
D{l:7,t:0,i:1041},
D{l:140,t:11,i:328},
D{l:133,t:11,i:354},
D{l:134,t:0,i:1040},
D{l:133,t:0,i:693},
D{l:134,t:0,i:774},
D{l:139,t:0,i:234},
D{l:132,t:0,i:336},
D{l:7,t:0,i:1399},
D{l:139,t:10,i:392},
D{l:20,t:0,i:22},
D{l:148,t:11,i:22},
D{l:5,t:0,i:802},
D{l:7,t:0,i:2021},
D{l:136,t:0,i:805},
D{l:5,t:0,i:167},
D{l:5,t:0,i:899},
D{l:6,t:0,i:410},
D{l:137,t:0,i:777},
D{l:137,t:0,i:789},
D{l:134,t:0,i:1705},
D{l:7,t:10,i:655},
D{l:135,t:10,i:1844},
D{l:4,t:10,i:145},
D{l:6,t:10,i:176},
D{l:7,t:10,i:395},
D{l:137,t:10,i:562},
D{l:132,t:10,i:501},
D{l:135,t:0,i:10},
D{l:5,t:0,i:11},
D{l:6,t:0,i:117},
D{l:6,t:0,i:485},
D{l:7,t:0,i:1133},
D{l:9,t:0,i:582},
D{l:9,t:0,i:594},
D{l:10,t:0,i:82},
D{l:11,t:0,i:21},
D{l:11,t:0,i:818},
D{l:12,t:0,i:535},
D{l:13,t:0,i:86},
D{l:20,t:0,i:91},
D{l:23,t:0,i:13},
D{l:134,t:10,i:509},
D{l:4,t:0,i:264},
D{l:7,t:0,i:1067},
D{l:8,t:0,i:204},
D{l:8,t:0,i:385},
D{l:139,t:0,i:953},
D{l:139,t:11,i:737},
D{l:138,t:0,i:56},
D{l:134,t:0,i:1917},
D{l:133,t:0,i:470},
D{l:10,t:11,i:657},
D{l:14,t:11,i:297},
D{l:142,t:11,i:361},
D{l:135,t:11,i:412},
D{l:7,t:0,i:1198},
D{l:7,t:11,i:1198},
D{l:8,t:11,i:556},
D{l:14,t:11,i:123},
D{l:14,t:11,i:192},
D{l:143,t:11,i:27},
D{l:7,t:11,i:1985},
D{l:14,t:11,i:146},
D{l:15,t:11,i:42},
D{l:16,t:11,i:23},
D{l:17,t:11,i:86},
D{l:146,t:11,i:17},
D{l:11,t:0,i:1015},
D{l:136,t:11,i:122},
D{l:4,t:10,i:114},
D{l:9,t:10,i:492},
D{l:13,t:10,i:462},
D{l:142,t:10,i:215},
D{l:4,t:10,i:77},
D{l:5,t:10,i:361},
D{l:6,t:10,i:139},
D{l:6,t:10,i:401},
D{l:6,t:10,i:404},
D{l:7,t:10,i:413},
D{l:7,t:10,i:715},
D{l:7,t:10,i:1716},
D{l:11,t:10,i:279},
D{l:12,t:10,i:179},
D{l:12,t:10,i:258},
D{l:13,t:10,i:244},
D{l:142,t:10,i:358},
D{l:134,t:10,i:1717},
D{l:7,t:10,i:1061},
D{l:8,t:10,i:82},
D{l:11,t:10,i:250},
D{l:12,t:10,i:420},
D{l:141,t:10,i:184},
D{l:133,t:0,i:715},
D{l:135,t:10,i:724},
D{l:9,t:0,i:919},
D{l:9,t:0,i:922},
D{l:9,t:0,i:927},
D{l:9,t:0,i:933},
D{l:9,t:0,i:962},
D{l:9,t:0,i:1000},
D{l:9,t:0,i:1002},
D{l:9,t:0,i:1021},
D{l:12,t:0,i:890},
D{l:12,t:0,i:907},
D{l:12,t:0,i:930},
D{l:15,t:0,i:207},
D{l:15,t:0,i:228},
D{l:15,t:0,i:238},
D{l:149,t:0,i:61},
D{l:8,t:0,i:794},
D{l:9,t:0,i:400},
D{l:10,t:0,i:298},
D{l:142,t:0,i:228},
D{l:5,t:11,i:430},
D{l:5,t:11,i:932},
D{l:6,t:11,i:131},
D{l:7,t:11,i:417},
D{l:9,t:11,i:522},
D{l:11,t:11,i:314},
D{l:141,t:11,i:390},
D{l:132,t:0,i:867},
D{l:8,t:0,i:724},
D{l:132,t:11,i:507},
D{l:137,t:11,i:261},
D{l:4,t:11,i:343},
D{l:133,t:11,i:511},
D{l:6,t:0,i:190},
D{l:7,t:0,i:768},
D{l:135,t:0,i:1170},
D{l:6,t:10,i:513},
D{l:135,t:10,i:1052},
D{l:7,t:11,i:455},
D{l:138,t:11,i:591},
D{l:134,t:0,i:1066},
D{l:137,t:10,i:899},
D{l:14,t:0,i:67},
D{l:147,t:0,i:60},
D{l:4,t:0,i:948},
D{l:18,t:0,i:174},
D{l:146,t:0,i:176},
D{l:135,t:0,i:1023},
D{l:7,t:10,i:1417},
D{l:12,t:10,i:382},
D{l:17,t:10,i:48},
D{l:152,t:10,i:12},
D{l:134,t:11,i:575},
D{l:132,t:0,i:764},
D{l:6,t:10,i:545},
D{l:7,t:10,i:565},
D{l:7,t:10,i:1669},
D{l:10,t:10,i:114},
D{l:11,t:10,i:642},
D{l:140,t:10,i:618},
D{l:6,t:0,i:137},
D{l:9,t:0,i:75},
D{l:9,t:0,i:253},
D{l:10,t:0,i:194},
D{l:138,t:0,i:444},
D{l:4,t:0,i:756},
D{l:133,t:10,i:5},
D{l:8,t:0,i:1008},
D{l:135,t:10,i:192},
D{l:132,t:0,i:842},
D{l:11,t:0,i:643},
D{l:12,t:0,i:115},
D{l:136,t:10,i:763},
D{l:139,t:0,i:67},
D{l:133,t:10,i:759},
D{l:4,t:0,i:821},
D{l:5,t:0,i:760},
D{l:7,t:0,i:542},
D{l:8,t:0,i:135},
D{l:8,t:0,i:496},
D{l:135,t:11,i:580},
D{l:7,t:10,i:370},
D{l:7,t:10,i:1007},
D{l:7,t:10,i:1177},
D{l:135,t:10,i:1565},
D{l:135,t:10,i:1237},
D{l:140,t:0,i:736},
D{l:7,t:0,i:319},
D{l:7,t:0,i:355},
D{l:7,t:0,i:763},
D{l:10,t:0,i:389},
D{l:145,t:0,i:43},
D{l:8,t:11,i:333},
D{l:138,t:11,i:182},
D{l:4,t:10,i:87},
D{l:5,t:10,i:250},
D{l:141,t:10,i:298},
D{l:138,t:0,i:786},
D{l:134,t:0,i:2044},
D{l:8,t:11,i:330},
D{l:140,t:11,i:477},
D{l:135,t:11,i:1338},
D{l:132,t:11,i:125},
D{l:134,t:0,i:1030},
D{l:134,t:0,i:1083},
D{l:132,t:11,i:721},
D{l:135,t:10,i:814},
D{l:7,t:11,i:776},
D{l:8,t:11,i:145},
D{l:147,t:11,i:56},
D{l:134,t:0,i:1226},
D{l:4,t:10,i:57},
D{l:7,t:10,i:1195},
D{l:7,t:10,i:1438},
D{l:7,t:10,i:1548},
D{l:7,t:10,i:1835},
D{l:7,t:10,i:1904},
D{l:9,t:10,i:757},
D{l:10,t:10,i:604},
D{l:139,t:10,i:519},
D{l:7,t:11,i:792},
D{l:8,t:11,i:147},
D{l:10,t:11,i:821},
D{l:139,t:11,i:1021},
D{l:137,t:11,i:797},
D{l:4,t:0,i:58},
D{l:5,t:0,i:286},
D{l:6,t:0,i:319},
D{l:7,t:0,i:402},
D{l:7,t:0,i:1254},
D{l:7,t:0,i:1903},
D{l:8,t:0,i:356},
D{l:140,t:0,i:408},
D{l:4,t:0,i:389},
D{l:4,t:0,i:815},
D{l:9,t:0,i:181},
D{l:9,t:0,i:255},
D{l:10,t:0,i:8},
D{l:10,t:0,i:29},
D{l:10,t:0,i:816},
D{l:11,t:0,i:311},
D{l:11,t:0,i:561},
D{l:12,t:0,i:67},
D{l:141,t:0,i:181},
D{l:7,t:11,i:1472},
D{l:135,t:11,i:1554},
D{l:7,t:11,i:1071},
D{l:7,t:11,i:1541},
D{l:7,t:11,i:1767},
D{l:7,t:11,i:1806},
D{l:7,t:11,i:1999},
D{l:9,t:11,i:248},
D{l:10,t:11,i:400},
D{l:11,t:11,i:162},
D{l:11,t:11,i:178},
D{l:11,t:11,i:242},
D{l:12,t:11,i:605},
D{l:15,t:11,i:26},
D{l:144,t:11,i:44},
D{l:5,t:11,i:168},
D{l:5,t:11,i:930},
D{l:8,t:11,i:74},
D{l:9,t:11,i:623},
D{l:12,t:11,i:500},
D{l:12,t:11,i:579},
D{l:13,t:11,i:41},
D{l:143,t:11,i:93},
D{l:6,t:11,i:220},
D{l:7,t:11,i:1101},
D{l:141,t:11,i:105},
D{l:5,t:0,i:474},
D{l:7,t:0,i:507},
D{l:4,t:10,i:209},
D{l:7,t:11,i:507},
D{l:135,t:10,i:902},
D{l:132,t:0,i:427},
D{l:6,t:0,i:413},
D{l:7,t:10,i:335},
D{l:7,t:10,i:1437},
D{l:7,t:10,i:1668},
D{l:8,t:10,i:553},
D{l:8,t:10,i:652},
D{l:8,t:10,i:656},
D{l:9,t:10,i:558},
D{l:11,t:10,i:743},
D{l:149,t:10,i:18},
D{l:132,t:0,i:730},
D{l:6,t:11,i:19},
D{l:7,t:11,i:1413},
D{l:139,t:11,i:428},
D{l:133,t:0,i:373},
D{l:132,t:10,i:559},
D{l:7,t:11,i:96},
D{l:8,t:11,i:401},
D{l:137,t:11,i:896},
D{l:7,t:0,i:799},
D{l:7,t:0,i:1972},
D{l:5,t:10,i:1017},
D{l:138,t:10,i:511},
D{l:135,t:0,i:1793},
D{l:7,t:11,i:1961},
D{l:7,t:11,i:1965},
D{l:8,t:11,i:702},
D{l:136,t:11,i:750},
D{l:8,t:11,i:150},
D{l:8,t:11,i:737},
D{l:140,t:11,i:366},
D{l:132,t:0,i:322},
D{l:133,t:10,i:709},
D{l:8,t:11,i:800},
D{l:9,t:11,i:148},
D{l:9,t:11,i:872},
D{l:9,t:11,i:890},
D{l:11,t:11,i:309},
D{l:11,t:11,i:1001},
D{l:13,t:11,i:267},
D{l:141,t:11,i:323},
D{l:134,t:10,i:1745},
D{l:7,t:0,i:290},
D{l:136,t:10,i:206},
D{l:7,t:0,i:1651},
D{l:145,t:0,i:89},
D{l:139,t:0,i:2},
D{l:132,t:0,i:672},
D{l:6,t:0,i:1860},
D{l:8,t:0,i:905},
D{l:10,t:0,i:844},
D{l:10,t:0,i:846},
D{l:10,t:0,i:858},
D{l:12,t:0,i:699},
D{l:12,t:0,i:746},
D{l:140,t:0,i:772},
D{l:135,t:11,i:424},
D{l:133,t:11,i:547},
D{l:133,t:0,i:737},
D{l:5,t:11,i:490},
D{l:6,t:11,i:615},
D{l:6,t:11,i:620},
D{l:135,t:11,i:683},
D{l:6,t:0,i:746},
D{l:134,t:0,i:1612},
D{l:132,t:10,i:776},
D{l:9,t:11,i:385},
D{l:149,t:11,i:17},
D{l:133,t:0,i:145},
D{l:135,t:10,i:1272},
D{l:7,t:0,i:884},
D{l:140,t:0,i:124},
D{l:4,t:0,i:387},
D{l:135,t:0,i:1288},
D{l:5,t:11,i:133},
D{l:136,t:10,i:406},
D{l:136,t:11,i:187},
D{l:6,t:0,i:679},
D{l:8,t:11,i:8},
D{l:138,t:11,i:0},
D{l:135,t:0,i:550},
D{l:135,t:11,i:798},
D{l:136,t:11,i:685},
D{l:7,t:11,i:1086},
D{l:145,t:11,i:46},
D{l:8,t:10,i:175},
D{l:10,t:10,i:168},
D{l:138,t:10,i:573},
D{l:135,t:0,i:1305},
D{l:4,t:0,i:576},
D{l:135,t:0,i:1263},
D{l:6,t:0,i:686},
D{l:134,t:0,i:1563},
D{l:134,t:0,i:607},
D{l:5,t:0,i:919},
D{l:134,t:0,i:1673},
D{l:148,t:0,i:37},
D{l:8,t:11,i:774},
D{l:10,t:11,i:670},
D{l:140,t:11,i:51},
D{l:133,t:10,i:784},
D{l:139,t:10,i:882},
D{l:4,t:0,i:82},
D{l:5,t:0,i:333},
D{l:5,t:0,i:904},
D{l:6,t:0,i:207},
D{l:7,t:0,i:325},
D{l:7,t:0,i:1726},
D{l:8,t:0,i:101},
D{l:10,t:0,i:778},
D{l:139,t:0,i:220},
D{l:135,t:11,i:371},
D{l:132,t:0,i:958},
D{l:133,t:0,i:903},
D{l:4,t:11,i:127},
D{l:5,t:11,i:350},
D{l:6,t:11,i:356},
D{l:8,t:11,i:426},
D{l:9,t:11,i:572},
D{l:10,t:11,i:247},
D{l:139,t:11,i:312},
D{l:140,t:0,i:147},
D{l:6,t:11,i:59},
D{l:7,t:11,i:885},
D{l:9,t:11,i:603},
D{l:141,t:11,i:397},
D{l:10,t:0,i:367},
D{l:9,t:10,i:14},
D{l:9,t:10,i:441},
D{l:139,t:10,i:9},
D{l:11,t:10,i:966},
D{l:12,t:10,i:287},
D{l:13,t:10,i:342},
D{l:13,t:10,i:402},
D{l:15,t:10,i:110},
D{l:143,t:10,i:163},
D{l:134,t:0,i:690},
D{l:132,t:0,i:705},
D{l:9,t:0,i:651},
D{l:11,t:0,i:971},
D{l:13,t:0,i:273},
D{l:7,t:10,i:1428},
D{l:7,t:10,i:1640},
D{l:7,t:10,i:1867},
D{l:9,t:10,i:169},
D{l:9,t:10,i:182},
D{l:9,t:10,i:367},
D{l:9,t:10,i:478},
D{l:9,t:10,i:506},
D{l:9,t:10,i:551},
D{l:9,t:10,i:557},
D{l:9,t:10,i:648},
D{l:9,t:10,i:697},
D{l:9,t:10,i:705},
D{l:9,t:10,i:725},
D{l:9,t:10,i:787},
D{l:9,t:10,i:794},
D{l:10,t:10,i:198},
D{l:10,t:10,i:214},
D{l:10,t:10,i:267},
D{l:10,t:10,i:275},
D{l:10,t:10,i:456},
D{l:10,t:10,i:551},
D{l:10,t:10,i:561},
D{l:10,t:10,i:613},
D{l:10,t:10,i:627},
D{l:10,t:10,i:668},
D{l:10,t:10,i:675},
D{l:10,t:10,i:691},
D{l:10,t:10,i:695},
D{l:10,t:10,i:707},
D{l:10,t:10,i:715},
D{l:11,t:10,i:183},
D{l:11,t:10,i:201},
D{l:11,t:10,i:262},
D{l:11,t:10,i:352},
D{l:11,t:10,i:439},
D{l:11,t:10,i:493},
D{l:11,t:10,i:572},
D{l:11,t:10,i:591},
D{l:11,t:10,i:608},
D{l:11,t:10,i:611},
D{l:11,t:10,i:646},
D{l:11,t:10,i:674},
D{l:11,t:10,i:711},
D{l:11,t:10,i:751},
D{l:11,t:10,i:761},
D{l:11,t:10,i:776},
D{l:11,t:10,i:785},
D{l:11,t:10,i:850},
D{l:11,t:10,i:853},
D{l:11,t:10,i:862},
D{l:11,t:10,i:865},
D{l:11,t:10,i:868},
D{l:11,t:10,i:875},
D{l:11,t:10,i:898},
D{l:11,t:10,i:902},
D{l:11,t:10,i:903},
D{l:11,t:10,i:910},
D{l:11,t:10,i:932},
D{l:11,t:10,i:942},
D{l:11,t:10,i:957},
D{l:11,t:10,i:967},
D{l:11,t:10,i:972},
D{l:12,t:10,i:148},
D{l:12,t:10,i:195},
D{l:12,t:10,i:220},
D{l:12,t:10,i:237},
D{l:12,t:10,i:318},
D{l:12,t:10,i:339},
D{l:12,t:10,i:393},
D{l:12,t:10,i:445},
D{l:12,t:10,i:450},
D{l:12,t:10,i:474},
D{l:12,t:10,i:505},
D{l:12,t:10,i:509},
D{l:12,t:10,i:533},
D{l:12,t:10,i:591},
D{l:12,t:10,i:594},
D{l:12,t:10,i:597},
D{l:12,t:10,i:621},
D{l:12,t:10,i:633},
D{l:12,t:10,i:642},
D{l:13,t:10,i:59},
D{l:13,t:10,i:60},
D{l:13,t:10,i:145},
D{l:13,t:10,i:239},
D{l:13,t:10,i:250},
D{l:13,t:10,i:329},
D{l:13,t:10,i:344},
D{l:13,t:10,i:365},
D{l:13,t:10,i:372},
D{l:13,t:10,i:387},
D{l:13,t:10,i:403},
D{l:13,t:10,i:414},
D{l:13,t:10,i:456},
D{l:13,t:10,i:470},
D{l:13,t:10,i:478},
D{l:13,t:10,i:483},
D{l:13,t:10,i:489},
D{l:14,t:10,i:55},
D{l:14,t:10,i:57},
D{l:14,t:10,i:81},
D{l:14,t:10,i:90},
D{l:14,t:10,i:148},
D{l:14,t:10,i:239},
D{l:14,t:10,i:266},
D{l:14,t:10,i:321},
D{l:14,t:10,i:326},
D{l:14,t:10,i:327},
D{l:14,t:10,i:330},
D{l:14,t:10,i:347},
D{l:14,t:10,i:355},
D{l:14,t:10,i:401},
D{l:14,t:10,i:404},
D{l:14,t:10,i:411},
D{l:14,t:10,i:414},
D{l:14,t:10,i:416},
D{l:14,t:10,i:420},
D{l:15,t:10,i:61},
D{l:15,t:10,i:74},
D{l:15,t:10,i:87},
D{l:15,t:10,i:88},
D{l:15,t:10,i:94},
D{l:15,t:10,i:96},
D{l:15,t:10,i:116},
D{l:15,t:10,i:149},
D{l:15,t:10,i:154},
D{l:16,t:10,i:50},
D{l:16,t:10,i:63},
D{l:16,t:10,i:73},
D{l:17,t:10,i:2},
D{l:17,t:10,i:66},
D{l:17,t:10,i:92},
D{l:17,t:10,i:103},
D{l:17,t:10,i:112},
D{l:17,t:10,i:120},
D{l:18,t:10,i:50},
D{l:18,t:10,i:54},
D{l:18,t:10,i:82},
D{l:18,t:10,i:86},
D{l:18,t:10,i:90},
D{l:18,t:10,i:111},
D{l:18,t:10,i:115},
D{l:18,t:10,i:156},
D{l:19,t:10,i:40},
D{l:19,t:10,i:79},
D{l:20,t:10,i:78},
D{l:149,t:10,i:22},
D{l:7,t:0,i:887},
D{l:5,t:10,i:161},
D{l:135,t:10,i:839},
D{l:142,t:11,i:98},
D{l:134,t:0,i:90},
D{l:138,t:11,i:356},
D{l:135,t:11,i:441},
D{l:6,t:11,i:111},
D{l:7,t:11,i:4},
D{l:8,t:11,i:163},
D{l:8,t:11,i:776},
D{l:138,t:11,i:566},
D{l:134,t:0,i:908},
D{l:134,t:0,i:1261},
D{l:7,t:0,i:813},
D{l:12,t:0,i:497},
D{l:141,t:0,i:56},
D{l:134,t:0,i:1235},
D{l:135,t:0,i:429},
D{l:135,t:11,i:1994},
D{l:138,t:0,i:904},
D{l:6,t:0,i:125},
D{l:7,t:0,i:1277},
D{l:137,t:0,i:772},
D{l:151,t:0,i:12},
D{l:4,t:0,i:841},
D{l:5,t:0,i:386},
D{l:133,t:11,i:386},
D{l:5,t:11,i:297},
D{l:135,t:11,i:1038},
D{l:6,t:0,i:860},
D{l:6,t:0,i:1069},
D{l:135,t:11,i:309},
D{l:136,t:0,i:946},
D{l:135,t:10,i:1814},
D{l:141,t:11,i:418},
D{l:136,t:11,i:363},
D{l:10,t:0,i:768},
D{l:139,t:0,i:787},
D{l:22,t:11,i:30},
D{l:150,t:11,i:33},
D{l:6,t:0,i:160},
D{l:7,t:0,i:1106},
D{l:9,t:0,i:770},
D{l:11,t:0,i:112},
D{l:140,t:0,i:413},
D{l:11,t:11,i:216},
D{l:139,t:11,i:340},
D{l:136,t:10,i:139},
D{l:135,t:11,i:1390},
D{l:135,t:11,i:808},
D{l:132,t:11,i:280},
D{l:12,t:0,i:271},
D{l:17,t:0,i:109},
D{l:7,t:10,i:643},
D{l:136,t:10,i:236},
D{l:140,t:11,i:54},
D{l:4,t:11,i:421},
D{l:133,t:11,i:548},
D{l:11,t:0,i:719},
D{l:12,t:0,i:36},
D{l:141,t:0,i:337},
D{l:7,t:0,i:581},
D{l:9,t:0,i:644},
D{l:137,t:0,i:699},
D{l:11,t:11,i:511},
D{l:13,t:11,i:394},
D{l:14,t:11,i:298},
D{l:14,t:11,i:318},
D{l:146,t:11,i:103},
D{l:7,t:0,i:304},
D{l:9,t:0,i:646},
D{l:9,t:0,i:862},
D{l:11,t:0,i:696},
D{l:12,t:0,i:208},
D{l:15,t:0,i:79},
D{l:147,t:0,i:108},
D{l:4,t:0,i:631},
D{l:7,t:0,i:1126},
D{l:135,t:0,i:1536},
D{l:135,t:11,i:1527},
D{l:8,t:0,i:880},
D{l:10,t:0,i:869},
D{l:138,t:0,i:913},
D{l:7,t:0,i:1513},
D{l:5,t:10,i:54},
D{l:6,t:11,i:254},
D{l:9,t:11,i:109},
D{l:138,t:11,i:103},
D{l:135,t:0,i:981},
D{l:133,t:11,i:729},
D{l:132,t:10,i:744},
D{l:132,t:0,i:434},
D{l:134,t:0,i:550},
D{l:7,t:0,i:930},
D{l:10,t:0,i:476},
D{l:13,t:0,i:452},
D{l:19,t:0,i:104},
D{l:6,t:11,i:1630},
D{l:10,t:10,i:402},
D{l:146,t:10,i:55},
D{l:5,t:0,i:553},
D{l:138,t:0,i:824},
D{l:136,t:0,i:452},
D{l:8,t:0,i:151},
D{l:137,t:10,i:624},
D{l:132,t:10,i:572},
D{l:132,t:0,i:772},
D{l:133,t:11,i:671},
D{l:133,t:0,i:292},
D{l:138,t:0,i:135},
D{l:132,t:11,i:889},
D{l:140,t:11,i:207},
D{l:9,t:0,i:504},
D{l:6,t:10,i:43},
D{l:7,t:10,i:38},
D{l:8,t:10,i:248},
D{l:138,t:10,i:513},
D{l:6,t:0,i:1089},
D{l:135,t:11,i:1910},
D{l:4,t:11,i:627},
D{l:133,t:11,i:775},
D{l:135,t:0,i:783},
D{l:133,t:10,i:766},
D{l:133,t:10,i:363},
D{l:7,t:0,i:387},
D{l:135,t:11,i:387},
D{l:7,t:0,i:393},
D{l:10,t:0,i:603},
D{l:11,t:0,i:206},
D{l:7,t:11,i:202},
D{l:11,t:11,i:362},
D{l:11,t:11,i:948},
D{l:140,t:11,i:388},
D{l:6,t:11,i:507},
D{l:7,t:11,i:451},
D{l:8,t:11,i:389},
D{l:12,t:11,i:490},
D{l:13,t:11,i:16},
D{l:13,t:11,i:215},
D{l:13,t:11,i:351},
D{l:18,t:11,i:132},
D{l:147,t:11,i:125},
D{l:4,t:0,i:912},
D{l:9,t:0,i:232},
D{l:135,t:11,i:841},
D{l:6,t:10,i:258},
D{l:140,t:10,i:409},
D{l:5,t:10,i:249},
D{l:148,t:10,i:82},
D{l:136,t:11,i:566},
D{l:6,t:0,i:977},
D{l:135,t:11,i:1214},
D{l:7,t:0,i:1973},
D{l:136,t:0,i:716},
D{l:135,t:0,i:98},
D{l:133,t:0,i:733},
D{l:5,t:11,i:912},
D{l:134,t:11,i:1695},
D{l:5,t:10,i:393},
D{l:6,t:10,i:378},
D{l:7,t:10,i:1981},
D{l:9,t:10,i:32},
D{l:9,t:10,i:591},
D{l:10,t:10,i:685},
D{l:10,t:10,i:741},
D{l:142,t:10,i:382},
D{l:133,t:10,i:788},
D{l:10,t:0,i:19},
D{l:11,t:0,i:911},
D{l:7,t:10,i:1968},
D{l:141,t:10,i:509},
D{l:5,t:0,i:668},
D{l:5,t:11,i:236},
D{l:6,t:11,i:572},
D{l:8,t:11,i:492},
D{l:11,t:11,i:618},
D{l:144,t:11,i:56},
D{l:135,t:11,i:1789},
D{l:4,t:0,i:360},
D{l:5,t:0,i:635},
D{l:5,t:0,i:700},
D{l:5,t:10,i:58},
D{l:5,t:10,i:171},
D{l:5,t:10,i:683},
D{l:6,t:10,i:291},
D{l:6,t:10,i:566},
D{l:7,t:10,i:1650},
D{l:11,t:10,i:523},
D{l:12,t:10,i:273},
D{l:12,t:10,i:303},
D{l:15,t:10,i:39},
D{l:143,t:10,i:111},
D{l:133,t:0,i:901},
D{l:134,t:10,i:589},
D{l:5,t:11,i:190},
D{l:136,t:11,i:318},
D{l:140,t:0,i:656},
D{l:7,t:0,i:726},
D{l:152,t:0,i:9},
D{l:4,t:10,i:917},
D{l:133,t:10,i:1005},
D{l:135,t:10,i:1598},
D{l:134,t:11,i:491},
D{l:4,t:10,i:919},
D{l:133,t:11,i:434},
D{l:137,t:0,i:72},
D{l:6,t:0,i:1269},
D{l:6,t:0,i:1566},
D{l:134,t:0,i:1621},
D{l:9,t:0,i:463},
D{l:10,t:0,i:595},
D{l:4,t:10,i:255},
D{l:5,t:10,i:302},
D{l:6,t:10,i:132},
D{l:7,t:10,i:128},
D{l:7,t:10,i:283},
D{l:7,t:10,i:1299},
D{l:10,t:10,i:52},
D{l:10,t:10,i:514},
D{l:11,t:10,i:925},
D{l:13,t:10,i:92},
D{l:142,t:10,i:309},
D{l:135,t:0,i:1454},
D{l:134,t:0,i:1287},
D{l:11,t:0,i:600},
D{l:13,t:0,i:245},
D{l:137,t:10,i:173},
D{l:136,t:0,i:989},
D{l:7,t:0,i:164},
D{l:7,t:0,i:1571},
D{l:9,t:0,i:107},
D{l:140,t:0,i:225},
D{l:6,t:0,i:1061},
D{l:141,t:10,i:442},
D{l:4,t:0,i:27},
D{l:5,t:0,i:484},
D{l:5,t:0,i:510},
D{l:6,t:0,i:434},
D{l:7,t:0,i:1000},
D{l:7,t:0,i:1098},
D{l:136,t:0,i:2},
D{l:7,t:11,i:85},
D{l:7,t:11,i:247},
D{l:8,t:11,i:585},
D{l:10,t:11,i:163},
D{l:138,t:11,i:316},
D{l:11,t:11,i:103},
D{l:142,t:11,i:0},
D{l:134,t:0,i:1127},
D{l:4,t:0,i:460},
D{l:134,t:0,i:852},
D{l:134,t:10,i:210},
D{l:4,t:0,i:932},
D{l:133,t:0,i:891},
D{l:6,t:0,i:588},
D{l:147,t:11,i:83},
D{l:8,t:0,i:625},
D{l:4,t:10,i:284},
D{l:134,t:10,i:223},
D{l:134,t:0,i:76},
D{l:8,t:0,i:92},
D{l:137,t:0,i:221},
D{l:4,t:11,i:124},
D{l:10,t:11,i:457},
D{l:11,t:11,i:121},
D{l:11,t:11,i:169},
D{l:11,t:11,i:422},
D{l:11,t:11,i:870},
D{l:12,t:11,i:214},
D{l:13,t:11,i:389},
D{l:14,t:11,i:187},
D{l:143,t:11,i:77},
D{l:9,t:11,i:618},
D{l:138,t:11,i:482},
D{l:4,t:10,i:218},
D{l:7,t:10,i:526},
D{l:143,t:10,i:137},
D{l:13,t:0,i:9},
D{l:14,t:0,i:104},
D{l:14,t:0,i:311},
D{l:4,t:10,i:270},
D{l:5,t:10,i:192},
D{l:6,t:10,i:332},
D{l:135,t:10,i:1322},
D{l:140,t:10,i:661},
D{l:135,t:11,i:1193},
D{l:6,t:11,i:107},
D{l:7,t:11,i:638},
D{l:7,t:11,i:1632},
D{l:137,t:11,i:396},
D{l:132,t:0,i:763},
D{l:4,t:0,i:622},
D{l:5,t:11,i:370},
D{l:134,t:11,i:1756},
D{l:133,t:0,i:253},
D{l:135,t:0,i:546},
D{l:9,t:0,i:73},
D{l:10,t:0,i:110},
D{l:14,t:0,i:185},
D{l:17,t:0,i:119},
D{l:133,t:11,i:204},
D{l:7,t:0,i:624},
D{l:7,t:0,i:916},
D{l:10,t:0,i:256},
D{l:139,t:0,i:87},
D{l:7,t:10,i:379},
D{l:8,t:10,i:481},
D{l:137,t:10,i:377},
D{l:5,t:0,i:212},
D{l:12,t:0,i:35},
D{l:13,t:0,i:382},
D{l:5,t:11,i:970},
D{l:134,t:11,i:1706},
D{l:9,t:0,i:746},
D{l:5,t:10,i:1003},
D{l:134,t:10,i:149},
D{l:10,t:0,i:150},
D{l:11,t:0,i:849},
D{l:13,t:0,i:330},
D{l:8,t:10,i:262},
D{l:9,t:10,i:627},
D{l:11,t:10,i:214},
D{l:11,t:10,i:404},
D{l:11,t:10,i:457},
D{l:11,t:10,i:780},
D{l:11,t:10,i:913},
D{l:13,t:10,i:401},
D{l:142,t:10,i:200},
D{l:134,t:0,i:1466},
D{l:135,t:11,i:3},
D{l:6,t:0,i:1299},
D{l:4,t:11,i:35},
D{l:5,t:11,i:121},
D{l:5,t:11,i:483},
D{l:5,t:11,i:685},
D{l:6,t:11,i:489},
D{l:7,t:11,i:1204},
D{l:136,t:11,i:394},
D{l:135,t:10,i:742},
D{l:4,t:10,i:142},
D{l:136,t:10,i:304},
D{l:4,t:11,i:921},
D{l:133,t:11,i:1007},
D{l:134,t:0,i:1518},
D{l:6,t:0,i:1229},
D{l:135,t:0,i:1175},
D{l:133,t:0,i:816},
D{l:12,t:0,i:159},
D{l:4,t:10,i:471},
D{l:4,t:11,i:712},
D{l:5,t:10,i:51},
D{l:6,t:10,i:602},
D{l:7,t:10,i:925},
D{l:8,t:10,i:484},
D{l:138,t:10,i:195},
D{l:134,t:11,i:1629},
D{l:5,t:0,i:869},
D{l:5,t:0,i:968},
D{l:6,t:0,i:1626},
D{l:8,t:0,i:734},
D{l:136,t:0,i:784},
D{l:4,t:0,i:542},
D{l:6,t:0,i:1716},
D{l:6,t:0,i:1727},
D{l:7,t:0,i:1082},
D{l:7,t:0,i:1545},
D{l:8,t:0,i:56},
D{l:8,t:0,i:118},
D{l:8,t:0,i:412},
D{l:8,t:0,i:564},
D{l:9,t:0,i:888},
D{l:9,t:0,i:908},
D{l:10,t:0,i:50},
D{l:10,t:0,i:423},
D{l:11,t:0,i:685},
D{l:11,t:0,i:697},
D{l:11,t:0,i:933},
D{l:12,t:0,i:299},
D{l:13,t:0,i:126},
D{l:13,t:0,i:136},
D{l:13,t:0,i:170},
D{l:13,t:0,i:190},
D{l:136,t:10,i:688},
D{l:132,t:10,i:697},
D{l:4,t:0,i:232},
D{l:9,t:0,i:202},
D{l:10,t:0,i:474},
D{l:140,t:0,i:433},
D{l:136,t:0,i:212},
D{l:6,t:0,i:108},
D{l:7,t:0,i:1003},
D{l:7,t:0,i:1181},
D{l:8,t:0,i:111},
D{l:136,t:0,i:343},
D{l:5,t:10,i:221},
D{l:135,t:11,i:1255},
D{l:133,t:11,i:485},
D{l:134,t:0,i:1712},
D{l:142,t:0,i:216},
D{l:5,t:0,i:643},
D{l:6,t:0,i:516},
D{l:4,t:11,i:285},
D{l:5,t:11,i:317},
D{l:6,t:11,i:301},
D{l:7,t:11,i:7},
D{l:8,t:11,i:153},
D{l:10,t:11,i:766},
D{l:11,t:11,i:468},
D{l:12,t:11,i:467},
D{l:141,t:11,i:143},
D{l:4,t:0,i:133},
D{l:7,t:0,i:711},
D{l:7,t:0,i:1298},
D{l:135,t:0,i:1585},
D{l:134,t:0,i:650},
D{l:135,t:11,i:512},
D{l:6,t:0,i:99},
D{l:7,t:0,i:1808},
D{l:145,t:0,i:57},
D{l:6,t:0,i:246},
D{l:6,t:0,i:574},
D{l:7,t:0,i:428},
D{l:9,t:0,i:793},
D{l:10,t:0,i:669},
D{l:11,t:0,i:485},
D{l:11,t:0,i:840},
D{l:12,t:0,i:300},
D{l:14,t:0,i:250},
D{l:145,t:0,i:55},
D{l:4,t:10,i:132},
D{l:5,t:10,i:69},
D{l:135,t:10,i:1242},
D{l:136,t:0,i:1023},
D{l:7,t:0,i:302},
D{l:132,t:10,i:111},
D{l:135,t:0,i:1871},
D{l:132,t:0,i:728},
D{l:9,t:0,i:252},
D{l:132,t:10,i:767},
D{l:6,t:0,i:461},
D{l:7,t:0,i:1590},
D{l:7,t:10,i:1416},
D{l:7,t:10,i:2005},
D{l:8,t:10,i:131},
D{l:8,t:10,i:466},
D{l:9,t:10,i:672},
D{l:13,t:10,i:252},
D{l:148,t:10,i:103},
D{l:6,t:0,i:323},
D{l:135,t:0,i:1564},
D{l:7,t:0,i:461},
D{l:136,t:0,i:775},
D{l:6,t:10,i:44},
D{l:136,t:10,i:368},
D{l:139,t:0,i:172},
D{l:132,t:0,i:464},
D{l:4,t:10,i:570},
D{l:133,t:10,i:120},
D{l:137,t:11,i:269},
D{l:6,t:10,i:227},
D{l:135,t:10,i:1589},
D{l:6,t:11,i:1719},
D{l:6,t:11,i:1735},
D{l:7,t:11,i:2016},
D{l:7,t:11,i:2020},
D{l:8,t:11,i:837},
D{l:137,t:11,i:852},
D{l:7,t:0,i:727},
D{l:146,t:0,i:73},
D{l:132,t:0,i:1023},
D{l:135,t:11,i:852},
D{l:135,t:10,i:1529},
D{l:136,t:0,i:577},
D{l:138,t:11,i:568},
D{l:134,t:0,i:1037},
D{l:8,t:11,i:67},
D{l:138,t:11,i:419},
D{l:4,t:0,i:413},
D{l:5,t:0,i:677},
D{l:8,t:0,i:432},
D{l:140,t:0,i:280},
D{l:10,t:0,i:600},
D{l:6,t:10,i:1667},
D{l:7,t:11,i:967},
D{l:7,t:10,i:2036},
D{l:141,t:11,i:11},
D{l:6,t:10,i:511},
D{l:140,t:10,i:132},
D{l:6,t:0,i:799},
D{l:5,t:10,i:568},
D{l:6,t:10,i:138},
D{l:135,t:10,i:1293},
D{l:8,t:0,i:159},
D{l:4,t:10,i:565},
D{l:136,t:10,i:827},
D{l:7,t:0,i:646},
D{l:7,t:0,i:1730},
D{l:11,t:0,i:446},
D{l:141,t:0,i:178},
D{l:4,t:10,i:922},
D{l:133,t:10,i:1023},
D{l:135,t:11,i:11},
D{l:132,t:0,i:395},
D{l:11,t:0,i:145},
D{l:135,t:10,i:1002},
D{l:9,t:0,i:174},
D{l:10,t:0,i:164},
D{l:11,t:0,i:440},
D{l:11,t:0,i:514},
D{l:11,t:0,i:841},
D{l:15,t:0,i:98},
D{l:149,t:0,i:20},
D{l:134,t:0,i:426},
D{l:10,t:0,i:608},
D{l:139,t:0,i:1002},
D{l:7,t:11,i:320},
D{l:8,t:11,i:51},
D{l:12,t:11,i:481},
D{l:12,t:11,i:570},
D{l:148,t:11,i:106},
D{l:9,t:0,i:977},
D{l:9,t:0,i:983},
D{l:132,t:11,i:445},
D{l:138,t:0,i:250},
D{l:139,t:0,i:100},
D{l:6,t:0,i:1982},
D{l:136,t:10,i:402},
D{l:133,t:11,i:239},
D{l:4,t:10,i:716},
D{l:141,t:10,i:31},
D{l:5,t:0,i:476},
D{l:7,t:11,i:83},
D{l:7,t:11,i:1990},
D{l:8,t:11,i:130},
D{l:139,t:11,i:720},
D{l:8,t:10,i:691},
D{l:136,t:10,i:731},
D{l:5,t:11,i:123},
D{l:6,t:11,i:530},
D{l:7,t:11,i:348},
D{l:135,t:11,i:1419},
D{l:5,t:0,i:76},
D{l:6,t:0,i:458},
D{l:6,t:0,i:497},
D{l:7,t:0,i:868},
D{l:9,t:0,i:658},
D{l:10,t:0,i:594},
D{l:11,t:0,i:173},
D{l:11,t:0,i:566},
D{l:12,t:0,i:20},
D{l:12,t:0,i:338},
D{l:141,t:0,i:200},
D{l:9,t:11,i:139},
D{l:10,t:11,i:399},
D{l:11,t:11,i:469},
D{l:12,t:11,i:634},
D{l:141,t:11,i:223},
D{l:9,t:10,i:840},
D{l:138,t:10,i:803},
D{l:133,t:10,i:847},
D{l:11,t:11,i:223},
D{l:140,t:11,i:168},
D{l:132,t:11,i:210},
D{l:8,t:0,i:447},
D{l:9,t:10,i:53},
D{l:9,t:10,i:268},
D{l:9,t:10,i:901},
D{l:10,t:10,i:518},
D{l:10,t:10,i:829},
D{l:11,t:10,i:188},
D{l:13,t:10,i:74},
D{l:14,t:10,i:46},
D{l:15,t:10,i:17},
D{l:15,t:10,i:33},
D{l:17,t:10,i:40},
D{l:18,t:10,i:36},
D{l:19,t:10,i:20},
D{l:22,t:10,i:1},
D{l:152,t:10,i:2},
D{l:4,t:0,i:526},
D{l:7,t:0,i:1029},
D{l:135,t:0,i:1054},
D{l:19,t:11,i:59},
D{l:150,t:11,i:2},
D{l:4,t:0,i:636},
D{l:6,t:0,i:1875},
D{l:6,t:0,i:1920},
D{l:9,t:0,i:999},
D{l:12,t:0,i:807},
D{l:12,t:0,i:825},
D{l:15,t:0,i:179},
D{l:15,t:0,i:190},
D{l:18,t:0,i:182},
D{l:136,t:10,i:532},
D{l:6,t:0,i:1699},
D{l:7,t:0,i:660},
D{l:7,t:0,i:1124},
D{l:17,t:0,i:31},
D{l:19,t:0,i:22},
D{l:151,t:0,i:14},
D{l:135,t:10,i:681},
D{l:132,t:11,i:430},
D{l:140,t:10,i:677},
D{l:4,t:10,i:684},
D{l:136,t:10,i:384},
D{l:132,t:11,i:756},
D{l:133,t:11,i:213},
D{l:7,t:0,i:188},
D{l:7,t:10,i:110},
D{l:8,t:10,i:290},
D{l:8,t:10,i:591},
D{l:9,t:10,i:382},
D{l:9,t:10,i:649},
D{l:11,t:10,i:71},
D{l:11,t:10,i:155},
D{l:11,t:10,i:313},
D{l:12,t:10,i:5},
D{l:13,t:10,i:325},
D{l:142,t:10,i:287},
D{l:7,t:10,i:360},
D{l:7,t:10,i:425},
D{l:9,t:10,i:66},
D{l:9,t:10,i:278},
D{l:138,t:10,i:644},
D{l:142,t:11,i:164},
D{l:4,t:0,i:279},
D{l:7,t:0,i:301},
D{l:137,t:0,i:362},
D{l:134,t:11,i:586},
D{l:135,t:0,i:1743},
D{l:4,t:0,i:178},
D{l:133,t:0,i:399},
D{l:4,t:10,i:900},
D{l:133,t:10,i:861},
D{l:5,t:10,i:254},
D{l:7,t:10,i:985},
D{l:136,t:10,i:73},
D{l:133,t:11,i:108},
D{l:7,t:10,i:1959},
D{l:136,t:10,i:683},
D{l:133,t:11,i:219},
D{l:4,t:11,i:193},
D{l:5,t:11,i:916},
D{l:7,t:11,i:364},
D{l:10,t:11,i:398},
D{l:10,t:11,i:726},
D{l:11,t:11,i:317},
D{l:11,t:11,i:626},
D{l:12,t:11,i:142},
D{l:12,t:11,i:288},
D{l:12,t:11,i:678},
D{l:13,t:11,i:313},
D{l:15,t:11,i:113},
D{l:18,t:11,i:114},
D{l:21,t:11,i:30},
D{l:150,t:11,i:53},
D{l:6,t:11,i:241},
D{l:7,t:11,i:907},
D{l:8,t:11,i:832},
D{l:9,t:11,i:342},
D{l:10,t:11,i:729},
D{l:11,t:11,i:284},
D{l:11,t:11,i:445},
D{l:11,t:11,i:651},
D{l:11,t:11,i:863},
D{l:13,t:11,i:398},
D{l:146,t:11,i:99},
D{l:132,t:0,i:872},
D{l:134,t:0,i:831},
D{l:134,t:0,i:1692},
D{l:6,t:0,i:202},
D{l:6,t:0,i:1006},
D{l:9,t:0,i:832},
D{l:10,t:0,i:636},
D{l:11,t:0,i:208},
D{l:12,t:0,i:360},
D{l:17,t:0,i:118},
D{l:18,t:0,i:27},
D{l:20,t:0,i:67},
D{l:137,t:11,i:734},
D{l:132,t:10,i:725},
D{l:7,t:11,i:993},
D{l:138,t:11,i:666},
D{l:134,t:0,i:1954},
D{l:134,t:10,i:196},
D{l:7,t:0,i:872},
D{l:10,t:0,i:516},
D{l:139,t:0,i:167},
D{l:133,t:10,i:831},
D{l:4,t:11,i:562},
D{l:9,t:11,i:254},
D{l:139,t:11,i:879},
D{l:137,t:0,i:313},
D{l:4,t:0,i:224},
D{l:132,t:11,i:786},
D{l:11,t:0,i:24},
D{l:12,t:0,i:170},
D{l:136,t:10,i:723},
D{l:5,t:0,i:546},
D{l:7,t:0,i:35},
D{l:8,t:0,i:11},
D{l:8,t:0,i:12},
D{l:9,t:0,i:315},
D{l:9,t:0,i:533},
D{l:10,t:0,i:802},
D{l:11,t:0,i:166},
D{l:12,t:0,i:525},
D{l:142,t:0,i:243},
D{l:7,t:0,i:1937},
D{l:13,t:10,i:80},
D{l:13,t:10,i:437},
D{l:145,t:10,i:74},
D{l:5,t:0,i:241},
D{l:8,t:0,i:242},
D{l:9,t:0,i:451},
D{l:10,t:0,i:667},
D{l:11,t:0,i:598},
D{l:140,t:0,i:429},
D{l:150,t:0,i:46},
D{l:6,t:0,i:1273},
D{l:137,t:0,i:830},
D{l:5,t:10,i:848},
D{l:6,t:10,i:66},
D{l:136,t:10,i:764},
D{l:6,t:0,i:825},
D{l:134,t:0,i:993},
D{l:4,t:0,i:1006},
D{l:10,t:0,i:327},
D{l:13,t:0,i:271},
D{l:4,t:10,i:36},
D{l:7,t:10,i:1387},
D{l:139,t:10,i:755},
D{l:134,t:0,i:1023},
D{l:135,t:0,i:1580},
D{l:4,t:0,i:366},
D{l:137,t:0,i:516},
D{l:132,t:10,i:887},
D{l:6,t:0,i:1736},
D{l:135,t:0,i:1891},
D{l:6,t:11,i:216},
D{l:7,t:11,i:901},
D{l:7,t:11,i:1343},
D{l:136,t:11,i:493},
D{l:6,t:10,i:165},
D{l:138,t:10,i:388},
D{l:7,t:11,i:341},
D{l:139,t:11,i:219},
D{l:4,t:10,i:719},
D{l:135,t:10,i:155},
D{l:134,t:0,i:1935},
D{l:132,t:0,i:826},
D{l:6,t:0,i:331},
D{l:6,t:0,i:1605},
D{l:8,t:0,i:623},
D{l:11,t:0,i:139},
D{l:139,t:0,i:171},
D{l:135,t:11,i:1734},
D{l:10,t:11,i:115},
D{l:11,t:11,i:420},
D{l:12,t:11,i:154},
D{l:13,t:11,i:404},
D{l:14,t:11,i:346},
D{l:15,t:11,i:54},
D{l:143,t:11,i:112},
D{l:7,t:0,i:288},
D{l:4,t:10,i:353},
D{l:6,t:10,i:146},
D{l:6,t:10,i:1789},
D{l:7,t:10,i:990},
D{l:7,t:10,i:1348},
D{l:9,t:10,i:665},
D{l:9,t:10,i:898},
D{l:11,t:10,i:893},
D{l:142,t:10,i:212},
D{l:6,t:0,i:916},
D{l:134,t:0,i:1592},
D{l:7,t:0,i:1888},
D{l:4,t:10,i:45},
D{l:135,t:10,i:1257},
D{l:5,t:11,i:1011},
D{l:136,t:11,i:701},
D{l:139,t:11,i:596},
D{l:4,t:11,i:54},
D{l:5,t:11,i:666},
D{l:7,t:11,i:1039},
D{l:7,t:11,i:1130},
D{l:9,t:11,i:195},
D{l:138,t:11,i:302},
D{l:134,t:0,i:1471},
D{l:134,t:0,i:1570},
D{l:132,t:0,i:394},
D{l:140,t:10,i:65},
D{l:136,t:10,i:816},
D{l:135,t:0,i:1931},
D{l:7,t:0,i:574},
D{l:135,t:0,i:1719},
D{l:134,t:11,i:467},
D{l:132,t:0,i:658},
D{l:9,t:0,i:781},
D{l:10,t:0,i:144},
D{l:11,t:0,i:385},
D{l:13,t:0,i:161},
D{l:13,t:0,i:228},
D{l:13,t:0,i:268},
D{l:20,t:0,i:107},
D{l:134,t:11,i:1669},
D{l:136,t:0,i:374},
D{l:135,t:0,i:735},
D{l:4,t:0,i:344},
D{l:6,t:0,i:498},
D{l:139,t:0,i:323},
D{l:7,t:0,i:586},
D{l:7,t:0,i:1063},
D{l:6,t:10,i:559},
D{l:134,t:10,i:1691},
D{l:137,t:0,i:155},
D{l:133,t:0,i:906},
D{l:7,t:11,i:122},
D{l:9,t:11,i:259},
D{l:10,t:11,i:84},
D{l:11,t:11,i:470},
D{l:12,t:11,i:541},
D{l:141,t:11,i:379},
D{l:134,t:0,i:1139},
D{l:10,t:0,i:108},
D{l:139,t:0,i:116},
D{l:134,t:10,i:456},
D{l:133,t:10,i:925},
D{l:5,t:11,i:82},
D{l:5,t:11,i:131},
D{l:7,t:11,i:1755},
D{l:8,t:11,i:31},
D{l:9,t:11,i:168},
D{l:9,t:11,i:764},
D{l:139,t:11,i:869},
D{l:134,t:11,i:605},
D{l:5,t:11,i:278},
D{l:137,t:11,i:68},
D{l:4,t:11,i:163},
D{l:5,t:11,i:201},
D{l:5,t:11,i:307},
D{l:5,t:11,i:310},
D{l:6,t:11,i:335},
D{l:7,t:11,i:284},
D{l:136,t:11,i:165},
D{l:135,t:11,i:1660},
D{l:6,t:11,i:33},
D{l:135,t:11,i:1244},
D{l:4,t:0,i:616},
D{l:136,t:11,i:483},
D{l:8,t:0,i:857},
D{l:8,t:0,i:902},
D{l:8,t:0,i:910},
D{l:10,t:0,i:879},
D{l:12,t:0,i:726},
D{l:4,t:11,i:199},
D{l:139,t:11,i:34},
D{l:136,t:0,i:692},
D{l:6,t:10,i:193},
D{l:7,t:10,i:240},
D{l:7,t:10,i:1682},
D{l:10,t:10,i:51},
D{l:10,t:10,i:640},
D{l:11,t:10,i:410},
D{l:13,t:10,i:82},
D{l:14,t:10,i:247},
D{l:14,t:10,i:331},
D{l:142,t:10,i:377},
D{l:6,t:0,i:823},
D{l:134,t:0,i:983},
D{l:139,t:10,i:411},
D{l:132,t:0,i:305},
D{l:136,t:10,i:633},
D{l:138,t:11,i:203},
D{l:134,t:0,i:681},
D{l:6,t:11,i:326},
D{l:7,t:11,i:677},
D{l:137,t:11,i:425},
D{l:5,t:0,i:214},
D{l:7,t:0,i:603},
D{l:8,t:0,i:611},
D{l:9,t:0,i:686},
D{l:10,t:0,i:88},
D{l:11,t:0,i:459},
D{l:11,t:0,i:496},
D{l:12,t:0,i:463},
D{l:12,t:0,i:590},
D{l:141,t:0,i:0},
D{l:136,t:0,i:1004},
D{l:142,t:0,i:23},
D{l:134,t:0,i:1703},
D{l:147,t:11,i:8},
D{l:145,t:11,i:56},
D{l:135,t:0,i:1443},
D{l:4,t:10,i:237},
D{l:135,t:10,i:514},
D{l:6,t:0,i:714},
D{l:145,t:0,i:19},
D{l:5,t:11,i:358},
D{l:7,t:11,i:473},
D{l:7,t:11,i:1184},
D{l:10,t:11,i:662},
D{l:13,t:11,i:212},
D{l:13,t:11,i:304},
D{l:13,t:11,i:333},
D{l:145,t:11,i:98},
D{l:4,t:0,i:737},
D{l:10,t:0,i:98},
D{l:11,t:0,i:294},
D{l:12,t:0,i:60},
D{l:12,t:0,i:437},
D{l:13,t:0,i:64},
D{l:13,t:0,i:380},
D{l:142,t:0,i:430},
D{l:6,t:10,i:392},
D{l:7,t:10,i:65},
D{l:135,t:10,i:2019},
D{l:6,t:0,i:1758},
D{l:8,t:0,i:520},
D{l:9,t:0,i:345},
D{l:9,t:0,i:403},
D{l:142,t:0,i:350},
D{l:5,t:0,i:47},
D{l:10,t:0,i:242},
D{l:138,t:0,i:579},
D{l:5,t:0,i:139},
D{l:7,t:0,i:1168},
D{l:138,t:0,i:539},
D{l:134,t:0,i:1459},
D{l:13,t:0,i:388},
D{l:141,t:11,i:388},
D{l:134,t:0,i:253},
D{l:7,t:10,i:1260},
D{l:135,t:10,i:1790},
D{l:10,t:0,i:252},
D{l:9,t:10,i:222},
D{l:139,t:10,i:900},
D{l:140,t:0,i:745},
D{l:133,t:11,i:946},
D{l:4,t:0,i:107},
D{l:7,t:0,i:613},
D{l:8,t:0,i:439},
D{l:8,t:0,i:504},
D{l:9,t:0,i:501},
D{l:10,t:0,i:383},
D{l:139,t:0,i:477},
D{l:135,t:11,i:1485},
D{l:132,t:0,i:871},
D{l:7,t:11,i:411},
D{l:7,t:11,i:590},
D{l:8,t:11,i:631},
D{l:9,t:11,i:323},
D{l:10,t:11,i:355},
D{l:11,t:11,i:491},
D{l:12,t:11,i:143},
D{l:12,t:11,i:402},
D{l:13,t:11,i:73},
D{l:14,t:11,i:408},
D{l:15,t:11,i:107},
D{l:146,t:11,i:71},
D{l:132,t:0,i:229},
D{l:132,t:0,i:903},
D{l:140,t:0,i:71},
D{l:133,t:0,i:549},
D{l:4,t:0,i:47},
D{l:6,t:0,i:373},
D{l:7,t:0,i:452},
D{l:7,t:0,i:543},
D{l:7,t:0,i:1828},
D{l:7,t:0,i:1856},
D{l:9,t:0,i:6},
D{l:11,t:0,i:257},
D{l:139,t:0,i:391},
D{l:7,t:11,i:1467},
D{l:8,t:11,i:328},
D{l:10,t:11,i:544},
D{l:11,t:11,i:955},
D{l:13,t:11,i:320},
D{l:145,t:11,i:83},
D{l:5,t:0,i:980},
D{l:134,t:0,i:1754},
D{l:136,t:0,i:865},
D{l:5,t:0,i:705},
D{l:137,t:0,i:606},
D{l:7,t:0,i:161},
D{l:8,t:10,i:201},
D{l:136,t:10,i:605},
D{l:143,t:11,i:35},
D{l:5,t:11,i:835},
D{l:6,t:11,i:483},
D{l:140,t:10,i:224},
D{l:7,t:0,i:536},
D{l:7,t:0,i:1331},
D{l:136,t:0,i:143},
D{l:134,t:0,i:1388},
D{l:5,t:0,i:724},
D{l:10,t:0,i:305},
D{l:11,t:0,i:151},
D{l:12,t:0,i:33},
D{l:12,t:0,i:121},
D{l:12,t:0,i:381},
D{l:17,t:0,i:3},
D{l:17,t:0,i:27},
D{l:17,t:0,i:78},
D{l:18,t:0,i:18},
D{l:19,t:0,i:54},
D{l:149,t:0,i:5},
D{l:4,t:10,i:523},
D{l:133,t:10,i:638},
D{l:5,t:0,i:19},
D{l:134,t:0,i:533},
D{l:5,t:0,i:395},
D{l:5,t:0,i:951},
D{l:134,t:0,i:1776},
D{l:135,t:0,i:1908},
D{l:132,t:0,i:846},
D{l:10,t:0,i:74},
D{l:11,t:0,i:663},
D{l:12,t:0,i:210},
D{l:13,t:0,i:166},
D{l:13,t:0,i:310},
D{l:14,t:0,i:373},
D{l:18,t:0,i:95},
D{l:19,t:0,i:43},
D{l:6,t:10,i:242},
D{l:7,t:10,i:227},
D{l:7,t:10,i:1581},
D{l:8,t:10,i:104},
D{l:9,t:10,i:113},
D{l:9,t:10,i:220},
D{l:9,t:10,i:427},
D{l:10,t:10,i:239},
D{l:11,t:10,i:579},
D{l:11,t:10,i:1023},
D{l:13,t:10,i:4},
D{l:13,t:10,i:204},
D{l:13,t:10,i:316},
D{l:148,t:10,i:86},
D{l:9,t:11,i:716},
D{l:11,t:11,i:108},
D{l:13,t:11,i:123},
D{l:14,t:11,i:252},
D{l:19,t:11,i:38},
D{l:21,t:11,i:3},
D{l:151,t:11,i:11},
D{l:8,t:0,i:372},
D{l:9,t:0,i:122},
D{l:138,t:0,i:175},
D{l:132,t:11,i:677},
D{l:7,t:11,i:1374},
D{l:136,t:11,i:540},
D{l:135,t:10,i:861},
D{l:132,t:0,i:695},
D{l:7,t:0,i:497},
D{l:9,t:0,i:387},
D{l:147,t:0,i:81},
D{l:136,t:0,i:937},
D{l:134,t:0,i:718},
D{l:7,t:0,i:1328},
D{l:136,t:10,i:494},
D{l:132,t:11,i:331},
D{l:6,t:0,i:1581},
D{l:133,t:11,i:747},
D{l:5,t:0,i:284},
D{l:6,t:0,i:49},
D{l:6,t:0,i:350},
D{l:7,t:0,i:1},
D{l:7,t:0,i:377},
D{l:7,t:0,i:1693},
D{l:8,t:0,i:18},
D{l:8,t:0,i:678},
D{l:9,t:0,i:161},
D{l:9,t:0,i:585},
D{l:9,t:0,i:671},
D{l:9,t:0,i:839},
D{l:11,t:0,i:912},
D{l:141,t:0,i:427},
D{l:7,t:10,i:1306},
D{l:8,t:10,i:505},
D{l:9,t:10,i:482},
D{l:10,t:10,i:126},
D{l:11,t:10,i:225},
D{l:12,t:10,i:347},
D{l:12,t:10,i:449},
D{l:13,t:10,i:19},
D{l:14,t:10,i:218},
D{l:142,t:10,i:435},
D{l:10,t:10,i:764},
D{l:12,t:10,i:120},
D{l:13,t:10,i:39},
D{l:145,t:10,i:127},
D{l:4,t:0,i:597},
D{l:133,t:10,i:268},
D{l:134,t:0,i:1094},
D{l:4,t:0,i:1008},
D{l:134,t:0,i:1973},
D{l:132,t:0,i:811},
D{l:139,t:0,i:908},
D{l:135,t:0,i:1471},
D{l:133,t:11,i:326},
D{l:4,t:10,i:384},
D{l:135,t:10,i:1022},
D{l:7,t:0,i:1935},
D{l:8,t:0,i:324},
D{l:12,t:0,i:42},
D{l:4,t:11,i:691},
D{l:7,t:11,i:1935},
D{l:8,t:11,i:324},
D{l:9,t:11,i:35},
D{l:10,t:11,i:680},
D{l:11,t:11,i:364},
D{l:12,t:11,i:42},
D{l:13,t:11,i:357},
D{l:146,t:11,i:16},
D{l:135,t:0,i:2014},
D{l:7,t:0,i:2007},
D{l:9,t:0,i:101},
D{l:9,t:0,i:450},
D{l:10,t:0,i:66},
D{l:10,t:0,i:842},
D{l:11,t:0,i:536},
D{l:12,t:0,i:587},
D{l:6,t:11,i:32},
D{l:7,t:11,i:385},
D{l:7,t:11,i:757},
D{l:7,t:11,i:1916},
D{l:8,t:11,i:37},
D{l:8,t:11,i:94},
D{l:8,t:11,i:711},
D{l:9,t:11,i:541},
D{l:10,t:11,i:162},
D{l:10,t:11,i:795},
D{l:11,t:11,i:989},
D{l:11,t:11,i:1010},
D{l:12,t:11,i:14},
D{l:142,t:11,i:308},
D{l:139,t:0,i:586},
D{l:135,t:10,i:1703},
D{l:7,t:0,i:1077},
D{l:11,t:0,i:28},
D{l:9,t:10,i:159},
D{l:140,t:10,i:603},
D{l:6,t:0,i:1221},
D{l:136,t:10,i:583},
D{l:6,t:11,i:152},
D{l:6,t:11,i:349},
D{l:6,t:11,i:1682},
D{l:7,t:11,i:1252},
D{l:8,t:11,i:112},
D{l:9,t:11,i:435},
D{l:9,t:11,i:668},
D{l:10,t:11,i:290},
D{l:10,t:11,i:319},
D{l:10,t:11,i:815},
D{l:11,t:11,i:180},
D{l:11,t:11,i:837},
D{l:12,t:11,i:240},
D{l:13,t:11,i:152},
D{l:13,t:11,i:219},
D{l:142,t:11,i:158},
D{l:139,t:0,i:62},
D{l:132,t:10,i:515},
D{l:8,t:10,i:632},
D{l:8,t:10,i:697},
D{l:137,t:10,i:854},
D{l:134,t:0,i:1766},
D{l:132,t:11,i:581},
D{l:6,t:11,i:126},
D{l:7,t:11,i:573},
D{l:8,t:11,i:397},
D{l:142,t:11,i:44},
D{l:150,t:0,i:28},
D{l:11,t:0,i:670},
D{l:22,t:0,i:25},
D{l:4,t:10,i:136},
D{l:133,t:10,i:551},
D{l:6,t:0,i:1665},
D{l:7,t:0,i:256},
D{l:7,t:0,i:1388},
D{l:138,t:0,i:499},
D{l:4,t:0,i:22},
D{l:5,t:0,i:10},
D{l:7,t:0,i:1576},
D{l:136,t:0,i:97},
D{l:134,t:10,i:1782},
D{l:5,t:0,i:481},
D{l:7,t:10,i:1287},
D{l:9,t:10,i:44},
D{l:10,t:10,i:552},
D{l:10,t:10,i:642},
D{l:11,t:10,i:839},
D{l:12,t:10,i:274},
D{l:12,t:10,i:275},
D{l:12,t:10,i:372},
D{l:13,t:10,i:91},
D{l:142,t:10,i:125},
D{l:133,t:11,i:926},
D{l:7,t:11,i:1232},
D{l:137,t:11,i:531},
D{l:6,t:0,i:134},
D{l:7,t:0,i:437},
D{l:7,t:0,i:1824},
D{l:9,t:0,i:37},
D{l:14,t:0,i:285},
D{l:142,t:0,i:371},
D{l:7,t:0,i:486},
D{l:8,t:0,i:155},
D{l:11,t:0,i:93},
D{l:140,t:0,i:164},
D{l:6,t:0,i:1391},
D{l:134,t:0,i:1442},
D{l:133,t:11,i:670},
D{l:133,t:0,i:591},
D{l:6,t:10,i:147},
D{l:7,t:10,i:886},
D{l:7,t:11,i:1957},
D{l:9,t:10,i:753},
D{l:138,t:10,i:268},
D{l:5,t:0,i:380},
D{l:5,t:0,i:650},
D{l:7,t:0,i:1173},
D{l:136,t:0,i:310},
D{l:4,t:0,i:364},
D{l:7,t:0,i:1156},
D{l:7,t:0,i:1187},
D{l:137,t:0,i:409},
D{l:135,t:11,i:1621},
D{l:134,t:0,i:482},
D{l:133,t:11,i:506},
D{l:4,t:0,i:781},
D{l:6,t:0,i:487},
D{l:7,t:0,i:926},
D{l:8,t:0,i:263},
D{l:139,t:0,i:500},
D{l:138,t:10,i:137},
D{l:135,t:11,i:242},
D{l:139,t:11,i:96},
D{l:133,t:10,i:414},
D{l:135,t:10,i:1762},
D{l:134,t:0,i:804},
D{l:5,t:11,i:834},
D{l:7,t:11,i:1202},
D{l:8,t:11,i:14},
D{l:9,t:11,i:481},
D{l:137,t:11,i:880},
D{l:134,t:10,i:599},
D{l:4,t:0,i:94},
D{l:135,t:0,i:1265},
D{l:4,t:0,i:415},
D{l:132,t:0,i:417},
D{l:5,t:0,i:348},
D{l:6,t:0,i:522},
D{l:6,t:10,i:1749},
D{l:7,t:11,i:1526},
D{l:138,t:11,i:465},
D{l:134,t:10,i:1627},
D{l:132,t:0,i:1012},
D{l:132,t:10,i:488},
D{l:4,t:11,i:357},
D{l:6,t:11,i:172},
D{l:7,t:11,i:143},
D{l:137,t:11,i:413},
D{l:4,t:10,i:83},
D{l:4,t:11,i:590},
D{l:146,t:11,i:76},
D{l:140,t:10,i:676},
D{l:7,t:11,i:287},
D{l:8,t:11,i:355},
D{l:9,t:11,i:293},
D{l:137,t:11,i:743},
D{l:134,t:10,i:278},
D{l:6,t:0,i:1803},
D{l:18,t:0,i:165},
D{l:24,t:0,i:21},
D{l:5,t:11,i:169},
D{l:7,t:11,i:333},
D{l:136,t:11,i:45},
D{l:12,t:10,i:97},
D{l:140,t:11,i:97},
D{l:4,t:0,i:408},
D{l:4,t:0,i:741},
D{l:135,t:0,i:500},
D{l:132,t:11,i:198},
D{l:7,t:10,i:388},
D{l:7,t:10,i:644},
D{l:139,t:10,i:781},
D{l:4,t:11,i:24},
D{l:5,t:11,i:140},
D{l:5,t:11,i:185},
D{l:7,t:11,i:1500},
D{l:11,t:11,i:565},
D{l:139,t:11,i:838},
D{l:6,t:0,i:1321},
D{l:9,t:0,i:257},
D{l:7,t:10,i:229},
D{l:8,t:10,i:59},
D{l:9,t:10,i:190},
D{l:10,t:10,i:378},
D{l:140,t:10,i:191},
D{l:4,t:11,i:334},
D{l:133,t:11,i:593},
D{l:135,t:11,i:1885},
D{l:134,t:0,i:1138},
D{l:4,t:0,i:249},
D{l:6,t:0,i:73},
D{l:135,t:0,i:177},
D{l:133,t:0,i:576},
D{l:142,t:0,i:231},
D{l:137,t:0,i:288},
D{l:132,t:10,i:660},
D{l:7,t:10,i:1035},
D{l:138,t:10,i:737},
D{l:135,t:0,i:1487},
D{l:6,t:0,i:989},
D{l:9,t:0,i:433},
D{l:7,t:10,i:690},
D{l:9,t:10,i:587},
D{l:140,t:10,i:521},
D{l:7,t:0,i:1264},
D{l:7,t:0,i:1678},
D{l:11,t:0,i:945},
D{l:12,t:0,i:341},
D{l:12,t:0,i:471},
D{l:140,t:0,i:569},
D{l:132,t:11,i:709},
D{l:133,t:11,i:897},
D{l:5,t:11,i:224},
D{l:13,t:11,i:174},
D{l:146,t:11,i:52},
D{l:135,t:11,i:1840},
D{l:134,t:10,i:1744},
D{l:12,t:0,i:87},
D{l:16,t:0,i:74},
D{l:4,t:10,i:733},
D{l:9,t:10,i:194},
D{l:10,t:10,i:92},
D{l:11,t:10,i:198},
D{l:12,t:10,i:84},
D{l:141,t:10,i:128},
D{l:140,t:0,i:779},
D{l:135,t:0,i:538},
D{l:4,t:11,i:608},
D{l:133,t:11,i:497},
D{l:133,t:0,i:413},
D{l:7,t:11,i:1375},
D{l:7,t:11,i:1466},
D{l:138,t:11,i:331},
D{l:136,t:0,i:495},
D{l:6,t:11,i:540},
D{l:136,t:11,i:136},
D{l:7,t:0,i:54},
D{l:8,t:0,i:312},
D{l:10,t:0,i:191},
D{l:10,t:0,i:614},
D{l:140,t:0,i:567},
D{l:6,t:0,i:468},
D{l:7,t:0,i:567},
D{l:7,t:0,i:1478},
D{l:8,t:0,i:530},
D{l:14,t:0,i:290},
D{l:133,t:11,i:999},
D{l:4,t:11,i:299},
D{l:7,t:10,i:306},
D{l:135,t:11,i:1004},
D{l:142,t:11,i:296},
D{l:134,t:0,i:1484},
D{l:133,t:10,i:979},
D{l:6,t:0,i:609},
D{l:9,t:0,i:815},
D{l:12,t:11,i:137},
D{l:14,t:11,i:9},
D{l:14,t:11,i:24},
D{l:142,t:11,i:64},
D{l:133,t:11,i:456},
D{l:6,t:0,i:484},
D{l:135,t:0,i:822},
D{l:133,t:10,i:178},
D{l:136,t:11,i:180},
D{l:132,t:11,i:755},
D{l:137,t:0,i:900},
D{l:135,t:0,i:1335},
D{l:6,t:0,i:1724},
D{l:135,t:0,i:2022},
D{l:135,t:11,i:1139},
D{l:5,t:0,i:640},
D{l:132,t:10,i:390},
D{l:6,t:0,i:1831},
D{l:138,t:11,i:633},
D{l:135,t:11,i:566},
D{l:4,t:11,i:890},
D{l:5,t:11,i:805},
D{l:5,t:11,i:819},
D{l:5,t:11,i:961},
D{l:6,t:11,i:396},
D{l:6,t:11,i:1631},
D{l:6,t:11,i:1678},
D{l:7,t:11,i:1967},
D{l:7,t:11,i:2041},
D{l:9,t:11,i:630},
D{l:11,t:11,i:8},
D{l:11,t:11,i:1019},
D{l:12,t:11,i:176},
D{l:13,t:11,i:225},
D{l:14,t:11,i:292},
D{l:149,t:11,i:24},
D{l:132,t:0,i:474},
D{l:134,t:0,i:1103},
D{l:135,t:0,i:1504},
D{l:134,t:0,i:1576},
D{l:6,t:0,i:961},
D{l:6,t:0,i:1034},
D{l:140,t:0,i:655},
D{l:11,t:11,i:514},
D{l:149,t:11,i:20},
D{l:5,t:0,i:305},
D{l:135,t:11,i:1815},
D{l:7,t:11,i:1505},
D{l:10,t:11,i:190},
D{l:10,t:11,i:634},
D{l:11,t:11,i:792},
D{l:12,t:11,i:358},
D{l:140,t:11,i:447},
D{l:5,t:11,i:0},
D{l:6,t:11,i:536},
D{l:7,t:11,i:604},
D{l:13,t:11,i:445},
D{l:145,t:11,i:126},
D{l:7,t:0,i:1236},
D{l:133,t:10,i:105},
D{l:4,t:0,i:480},
D{l:6,t:0,i:217},
D{l:6,t:0,i:302},
D{l:6,t:0,i:1642},
D{l:7,t:0,i:130},
D{l:7,t:0,i:837},
D{l:7,t:0,i:1321},
D{l:7,t:0,i:1547},
D{l:7,t:0,i:1657},
D{l:8,t:0,i:429},
D{l:9,t:0,i:228},
D{l:13,t:0,i:289},
D{l:13,t:0,i:343},
D{l:19,t:0,i:101},
D{l:6,t:11,i:232},
D{l:6,t:11,i:412},
D{l:7,t:11,i:1074},
D{l:8,t:11,i:9},
D{l:8,t:11,i:157},
D{l:8,t:11,i:786},
D{l:9,t:11,i:196},
D{l:9,t:11,i:352},
D{l:9,t:11,i:457},
D{l:10,t:11,i:337},
D{l:11,t:11,i:232},
D{l:11,t:11,i:877},
D{l:12,t:11,i:480},
D{l:140,t:11,i:546},
D{l:5,t:10,i:438},
D{l:7,t:11,i:958},
D{l:9,t:10,i:694},
D{l:12,t:10,i:627},
D{l:13,t:11,i:38},
D{l:141,t:10,i:210},
D{l:4,t:11,i:382},
D{l:136,t:11,i:579},
D{l:7,t:0,i:278},
D{l:10,t:0,i:739},
D{l:11,t:0,i:708},
D{l:141,t:0,i:348},
D{l:4,t:11,i:212},
D{l:135,t:11,i:1206},
D{l:135,t:11,i:1898},
D{l:6,t:0,i:708},
D{l:6,t:0,i:1344},
D{l:152,t:10,i:11},
D{l:137,t:11,i:768},
D{l:134,t:0,i:1840},
D{l:140,t:0,i:233},
D{l:8,t:10,i:25},
D{l:138,t:10,i:826},
D{l:6,t:0,i:2017},
D{l:133,t:11,i:655},
D{l:6,t:0,i:1488},
D{l:139,t:11,i:290},
D{l:132,t:10,i:308},
D{l:134,t:0,i:1590},
D{l:134,t:0,i:1800},
D{l:134,t:0,i:1259},
D{l:16,t:0,i:28},
D{l:6,t:11,i:231},
D{l:7,t:11,i:95},
D{l:136,t:11,i:423},
D{l:133,t:11,i:300},
D{l:135,t:10,i:150},
D{l:136,t:10,i:649},
D{l:7,t:11,i:1874},
D{l:137,t:11,i:641},
D{l:6,t:11,i:237},
D{l:7,t:11,i:611},
D{l:8,t:11,i:100},
D{l:9,t:11,i:416},
D{l:11,t:11,i:335},
D{l:12,t:11,i:173},
D{l:146,t:11,i:101},
D{l:137,t:0,i:45},
D{l:134,t:10,i:521},
D{l:17,t:0,i:36},
D{l:14,t:11,i:26},
D{l:146,t:11,i:150},
D{l:7,t:0,i:1442},
D{l:14,t:0,i:22},
D{l:5,t:10,i:339},
D{l:15,t:10,i:41},
D{l:15,t:10,i:166},
D{l:147,t:10,i:66},
D{l:8,t:0,i:378},
D{l:6,t:11,i:581},
D{l:135,t:11,i:1119},
D{l:134,t:0,i:1507},
D{l:147,t:11,i:117},
D{l:139,t:0,i:39},
D{l:134,t:0,i:1054},
D{l:6,t:0,i:363},
D{l:7,t:0,i:1955},
D{l:136,t:0,i:725},
D{l:134,t:0,i:2036},
D{l:133,t:11,i:199},
D{l:6,t:0,i:1871},
D{l:9,t:0,i:935},
D{l:9,t:0,i:961},
D{l:9,t:0,i:1004},
D{l:9,t:0,i:1016},
D{l:12,t:0,i:805},
D{l:12,t:0,i:852},
D{l:12,t:0,i:853},
D{l:12,t:0,i:869},
D{l:12,t:0,i:882},
D{l:12,t:0,i:896},
D{l:12,t:0,i:906},
D{l:12,t:0,i:917},
D{l:12,t:0,i:940},
D{l:15,t:0,i:170},
D{l:15,t:0,i:176},
D{l:15,t:0,i:188},
D{l:15,t:0,i:201},
D{l:15,t:0,i:205},
D{l:15,t:0,i:212},
D{l:15,t:0,i:234},
D{l:15,t:0,i:244},
D{l:18,t:0,i:181},
D{l:18,t:0,i:193},
D{l:18,t:0,i:196},
D{l:18,t:0,i:201},
D{l:18,t:0,i:202},
D{l:18,t:0,i:210},
D{l:18,t:0,i:217},
D{l:18,t:0,i:235},
D{l:18,t:0,i:236},
D{l:18,t:0,i:237},
D{l:21,t:0,i:54},
D{l:21,t:0,i:55},
D{l:21,t:0,i:58},
D{l:21,t:0,i:59},
D{l:152,t:0,i:22},
D{l:134,t:10,i:1628},
D{l:137,t:0,i:805},
D{l:5,t:0,i:813},
D{l:135,t:0,i:2046},
D{l:142,t:11,i:42},
D{l:5,t:0,i:712},
D{l:6,t:0,i:1240},
D{l:11,t:0,i:17},
D{l:13,t:0,i:321},
D{l:144,t:0,i:67},
D{l:132,t:0,i:617},
D{l:135,t:10,i:829},
D{l:6,t:0,i:320},
D{l:7,t:0,i:781},
D{l:7,t:0,i:1921},
D{l:9,t:0,i:55},
D{l:10,t:0,i:186},
D{l:10,t:0,i:273},
D{l:10,t:0,i:664},
D{l:10,t:0,i:801},
D{l:11,t:0,i:996},
D{l:11,t:0,i:997},
D{l:13,t:0,i:157},
D{l:142,t:0,i:170},
D{l:136,t:0,i:271},
D{l:5,t:10,i:486},
D{l:135,t:10,i:1349},
D{l:18,t:11,i:91},
D{l:147,t:11,i:70},
D{l:10,t:0,i:445},
D{l:7,t:10,i:1635},
D{l:8,t:10,i:17},
D{l:138,t:10,i:295},
D{l:136,t:11,i:404},
D{l:7,t:0,i:103},
D{l:7,t:0,i:863},
D{l:11,t:0,i:184},
D{l:145,t:0,i:62},
D{l:138,t:10,i:558},
D{l:137,t:0,i:659},
D{l:6,t:11,i:312},
D{l:6,t:11,i:1715},
D{l:10,t:11,i:584},
D{l:11,t:11,i:546},
D{l:11,t:11,i:692},
D{l:12,t:11,i:259},
D{l:12,t:11,i:295},
D{l:13,t:11,i:46},
D{l:141,t:11,i:154},
D{l:134,t:0,i:676},
D{l:132,t:11,i:588},
D{l:4,t:11,i:231},
D{l:5,t:11,i:61},
D{l:6,t:11,i:104},
D{l:7,t:11,i:729},
D{l:7,t:11,i:964},
D{l:7,t:11,i:1658},
D{l:140,t:11,i:414},
D{l:6,t:11,i:263},
D{l:138,t:11,i:757},
D{l:11,t:0,i:337},
D{l:142,t:0,i:303},
D{l:135,t:11,i:1363},
D{l:132,t:11,i:320},
D{l:140,t:0,i:506},
D{l:134,t:10,i:447},
D{l:5,t:0,i:77},
D{l:7,t:0,i:1455},
D{l:10,t:0,i:843},
D{l:147,t:0,i:73},
D{l:7,t:10,i:577},
D{l:7,t:10,i:1432},
D{l:9,t:10,i:475},
D{l:9,t:10,i:505},
D{l:9,t:10,i:526},
D{l:9,t:10,i:609},
D{l:9,t:10,i:689},
D{l:9,t:10,i:726},
D{l:9,t:10,i:735},
D{l:9,t:10,i:738},
D{l:10,t:10,i:556},
D{l:10,t:10,i:674},
D{l:10,t:10,i:684},
D{l:11,t:10,i:89},
D{l:11,t:10,i:202},
D{l:11,t:10,i:272},
D{l:11,t:10,i:380},
D{l:11,t:10,i:415},
D{l:11,t:10,i:505},
D{l:11,t:10,i:537},
D{l:11,t:10,i:550},
D{l:11,t:10,i:562},
D{l:11,t:10,i:640},
D{l:11,t:10,i:667},
D{l:11,t:10,i:688},
D{l:11,t:10,i:847},
D{l:11,t:10,i:927},
D{l:11,t:10,i:930},
D{l:11,t:10,i:940},
D{l:12,t:10,i:144},
D{l:12,t:10,i:325},
D{l:12,t:10,i:329},
D{l:12,t:10,i:389},
D{l:12,t:10,i:403},
D{l:12,t:10,i:451},
D{l:12,t:10,i:515},
D{l:12,t:10,i:604},
D{l:12,t:10,i:616},
D{l:12,t:10,i:626},
D{l:13,t:10,i:66},
D{l:13,t:10,i:131},
D{l:13,t:10,i:167},
D{l:13,t:10,i:236},
D{l:13,t:10,i:368},
D{l:13,t:10,i:411},
D{l:13,t:10,i:434},
D{l:13,t:10,i:453},
D{l:13,t:10,i:461},
D{l:13,t:10,i:474},
D{l:14,t:10,i:59},
D{l:14,t:10,i:60},
D{l:14,t:10,i:139},
D{l:14,t:10,i:152},
D{l:14,t:10,i:276},
D{l:14,t:10,i:353},
D{l:14,t:10,i:402},
D{l:15,t:10,i:28},
D{l:15,t:10,i:81},
D{l:15,t:10,i:123},
D{l:15,t:10,i:152},
D{l:18,t:10,i:136},
D{l:148,t:10,i:88},
D{l:132,t:0,i:458},
D{l:135,t:0,i:1420},
D{l:6,t:0,i:109},
D{l:10,t:0,i:382},
D{l:4,t:11,i:405},
D{l:4,t:10,i:609},
D{l:7,t:10,i:756},
D{l:7,t:11,i:817},
D{l:9,t:10,i:544},
D{l:11,t:10,i:413},
D{l:14,t:11,i:58},
D{l:14,t:10,i:307},
D{l:16,t:10,i:25},
D{l:17,t:11,i:37},
D{l:146,t:11,i:124},
D{l:6,t:0,i:330},
D{l:7,t:0,i:1084},
D{l:11,t:0,i:142},
D{l:133,t:11,i:974},
D{l:4,t:10,i:930},
D{l:133,t:10,i:947},
D{l:5,t:10,i:939},
D{l:142,t:11,i:394},
D{l:16,t:0,i:91},
D{l:145,t:0,i:87},
D{l:5,t:11,i:235},
D{l:5,t:10,i:962},
D{l:7,t:11,i:1239},
D{l:11,t:11,i:131},
D{l:140,t:11,i:370},
D{l:11,t:0,i:492},
D{l:5,t:10,i:651},
D{l:8,t:10,i:170},
D{l:9,t:10,i:61},
D{l:9,t:10,i:63},
D{l:10,t:10,i:23},
D{l:10,t:10,i:37},
D{l:10,t:10,i:834},
D{l:11,t:10,i:4},
D{l:11,t:10,i:281},
D{l:11,t:10,i:503},
D{l:11,t:10,i:677},
D{l:12,t:10,i:96},
D{l:12,t:10,i:130},
D{l:12,t:10,i:244},
D{l:14,t:10,i:5},
D{l:14,t:10,i:40},
D{l:14,t:10,i:162},
D{l:14,t:10,i:202},
D{l:146,t:10,i:133},
D{l:4,t:10,i:406},
D{l:5,t:10,i:579},
D{l:12,t:10,i:492},
D{l:150,t:10,i:15},
D{l:9,t:11,i:137},
D{l:138,t:11,i:221},
D{l:134,t:0,i:1239},
D{l:11,t:0,i:211},
D{l:140,t:0,i:145},
D{l:7,t:11,i:390},
D{l:138,t:11,i:140},
D{l:135,t:11,i:1418},
D{l:135,t:11,i:1144},
D{l:134,t:0,i:1049},
D{l:7,t:0,i:321},
D{l:6,t:10,i:17},
D{l:7,t:10,i:1001},
D{l:7,t:10,i:1982},
D{l:9,t:10,i:886},
D{l:10,t:10,i:489},
D{l:10,t:10,i:800},
D{l:11,t:10,i:782},
D{l:12,t:10,i:320},
D{l:13,t:10,i:467},
D{l:14,t:10,i:145},
D{l:14,t:10,i:387},
D{l:143,t:10,i:119},
D{l:145,t:10,i:17},
D{l:5,t:11,i:407},
D{l:11,t:11,i:489},
D{l:19,t:11,i:37},
D{l:20,t:11,i:73},
D{l:150,t:11,i:38},
D{l:133,t:10,i:458},
D{l:135,t:0,i:1985},
D{l:7,t:10,i:1983},
D{l:8,t:10,i:0},
D{l:8,t:10,i:171},
D{l:9,t:10,i:120},
D{l:9,t:10,i:732},
D{l:10,t:10,i:473},
D{l:11,t:10,i:656},
D{l:11,t:10,i:998},
D{l:18,t:10,i:0},
D{l:18,t:10,i:2},
D{l:147,t:10,i:21},
D{l:5,t:11,i:325},
D{l:7,t:11,i:1483},
D{l:8,t:11,i:5},
D{l:8,t:11,i:227},
D{l:9,t:11,i:105},
D{l:10,t:11,i:585},
D{l:140,t:11,i:614},
D{l:136,t:0,i:122},
D{l:132,t:0,i:234},
D{l:135,t:11,i:1196},
D{l:6,t:0,i:976},
D{l:6,t:0,i:1098},
D{l:134,t:0,i:1441},
D{l:7,t:0,i:253},
D{l:136,t:0,i:549},
D{l:6,t:11,i:621},
D{l:13,t:11,i:504},
D{l:144,t:11,i:19},
D{l:132,t:10,i:519},
D{l:5,t:0,i:430},
D{l:5,t:0,i:932},
D{l:6,t:0,i:131},
D{l:7,t:0,i:417},
D{l:9,t:0,i:522},
D{l:11,t:0,i:314},
D{l:141,t:0,i:390},
D{l:14,t:0,i:149},
D{l:14,t:0,i:399},
D{l:143,t:0,i:57},
D{l:5,t:10,i:907},
D{l:6,t:10,i:31},
D{l:6,t:11,i:218},
D{l:7,t:10,i:491},
D{l:7,t:10,i:530},
D{l:8,t:10,i:592},
D{l:11,t:10,i:53},
D{l:11,t:10,i:779},
D{l:12,t:10,i:167},
D{l:12,t:10,i:411},
D{l:14,t:10,i:14},
D{l:14,t:10,i:136},
D{l:15,t:10,i:72},
D{l:16,t:10,i:17},
D{l:144,t:10,i:72},
D{l:140,t:11,i:330},
D{l:7,t:11,i:454},
D{l:7,t:11,i:782},
D{l:136,t:11,i:768},
D{l:132,t:0,i:507},
D{l:10,t:11,i:676},
D{l:140,t:11,i:462},
D{l:6,t:0,i:630},
D{l:9,t:0,i:811},
D{l:4,t:10,i:208},
D{l:5,t:10,i:106},
D{l:6,t:10,i:531},
D{l:8,t:10,i:408},
D{l:9,t:10,i:188},
D{l:138,t:10,i:572},
D{l:4,t:0,i:343},
D{l:5,t:0,i:511},
D{l:134,t:10,i:1693},
D{l:134,t:11,i:164},
D{l:132,t:0,i:448},
D{l:7,t:0,i:455},
D{l:138,t:0,i:591},
D{l:135,t:0,i:1381},
D{l:12,t:10,i:441},
D{l:150,t:11,i:50},
D{l:9,t:10,i:449},
D{l:10,t:10,i:192},
D{l:138,t:10,i:740},
D{l:6,t:0,i:575},
D{l:132,t:10,i:241},
D{l:134,t:0,i:1175},
D{l:134,t:0,i:653},
D{l:134,t:0,i:1761},
D{l:134,t:0,i:1198},
D{l:132,t:10,i:259},
D{l:6,t:11,i:343},
D{l:7,t:11,i:195},
D{l:9,t:11,i:226},
D{l:10,t:11,i:197},
D{l:10,t:11,i:575},
D{l:11,t:11,i:502},
D{l:139,t:11,i:899},
D{l:7,t:0,i:1127},
D{l:7,t:0,i:1572},
D{l:10,t:0,i:297},
D{l:10,t:0,i:422},
D{l:11,t:0,i:764},
D{l:11,t:0,i:810},
D{l:12,t:0,i:264},
D{l:13,t:0,i:102},
D{l:13,t:0,i:300},
D{l:13,t:0,i:484},
D{l:14,t:0,i:147},
D{l:14,t:0,i:229},
D{l:17,t:0,i:71},
D{l:18,t:0,i:118},
D{l:147,t:0,i:120},
D{l:135,t:11,i:666},
D{l:132,t:0,i:678},
D{l:4,t:10,i:173},
D{l:5,t:10,i:312},
D{l:5,t:10,i:512},
D{l:135,t:10,i:1285},
D{l:7,t:10,i:1603},
D{l:7,t:10,i:1691},
D{l:9,t:10,i:464},
D{l:11,t:10,i:195},
D{l:12,t:10,i:279},
D{l:12,t:10,i:448},
D{l:14,t:10,i:11},
D{l:147,t:10,i:102},
D{l:16,t:0,i:99},
D{l:146,t:0,i:164},
D{l:7,t:11,i:1125},
D{l:9,t:11,i:143},
D{l:11,t:11,i:61},
D{l:14,t:11,i:405},
D{l:150,t:11,i:21},
D{l:137,t:11,i:260},
D{l:4,t:10,i:452},
D{l:5,t:10,i:583},
D{l:5,t:10,i:817},
D{l:6,t:10,i:433},
D{l:7,t:10,i:593},
D{l:7,t:10,i:720},
D{l:7,t:10,i:1378},
D{l:8,t:10,i:161},
D{l:9,t:10,i:284},
D{l:10,t:10,i:313},
D{l:139,t:10,i:886},
D{l:132,t:10,i:547},
D{l:136,t:10,i:722},
D{l:14,t:0,i:35},
D{l:142,t:0,i:191},
D{l:141,t:0,i:45},
D{l:138,t:0,i:121},
D{l:132,t:0,i:125},
D{l:134,t:0,i:1622},
D{l:133,t:11,i:959},
D{l:8,t:10,i:420},
D{l:139,t:10,i:193},
D{l:132,t:0,i:721},
D{l:135,t:10,i:409},
D{l:136,t:0,i:145},
D{l:7,t:0,i:792},
D{l:8,t:0,i:147},
D{l:10,t:0,i:821},
D{l:11,t:0,i:970},
D{l:11,t:0,i:1021},
D{l:136,t:11,i:173},
D{l:134,t:11,i:266},
D{l:132,t:0,i:715},
D{l:7,t:0,i:1999},
D{l:138,t:10,i:308},
D{l:133,t:0,i:531},
D{l:5,t:0,i:168},
D{l:5,t:0,i:930},
D{l:8,t:0,i:74},
D{l:9,t:0,i:623},
D{l:12,t:0,i:500},
D{l:140,t:0,i:579},
D{l:144,t:0,i:65},
D{l:138,t:11,i:246},
D{l:6,t:0,i:220},
D{l:7,t:0,i:1101},
D{l:13,t:0,i:105},
D{l:142,t:11,i:314},
D{l:5,t:10,i:1002},
D{l:136,t:10,i:745},
D{l:134,t:0,i:960},
D{l:20,t:0,i:0},
D{l:148,t:11,i:0},
D{l:4,t:0,i:1005},
D{l:4,t:10,i:239},
D{l:6,t:10,i:477},
D{l:7,t:10,i:1607},
D{l:11,t:10,i:68},
D{l:139,t:10,i:617},
D{l:6,t:0,i:19},
D{l:7,t:0,i:1413},
D{l:139,t:0,i:428},
D{l:149,t:10,i:13},
D{l:7,t:0,i:96},
D{l:8,t:0,i:401},
D{l:8,t:0,i:703},
D{l:9,t:0,i:896},
D{l:136,t:11,i:300},
D{l:134,t:0,i:1595},
D{l:145,t:0,i:116},
D{l:136,t:0,i:1021},
D{l:7,t:0,i:1961},
D{l:7,t:0,i:1965},
D{l:7,t:0,i:2030},
D{l:8,t:0,i:150},
D{l:8,t:0,i:702},
D{l:8,t:0,i:737},
D{l:8,t:0,i:750},
D{l:140,t:0,i:366},
D{l:11,t:11,i:75},
D{l:142,t:11,i:267},
D{l:132,t:10,i:367},
D{l:8,t:0,i:800},
D{l:9,t:0,i:148},
D{l:9,t:0,i:872},
D{l:9,t:0,i:890},
D{l:11,t:0,i:309},
D{l:11,t:0,i:1001},
D{l:13,t:0,i:267},
D{l:13,t:0,i:323},
D{l:5,t:11,i:427},
D{l:5,t:11,i:734},
D{l:7,t:11,i:478},
D{l:136,t:11,i:52},
D{l:7,t:11,i:239},
D{l:11,t:11,i:217},
D{l:142,t:11,i:165},
D{l:132,t:11,i:323},
D{l:140,t:11,i:419},
D{l:13,t:0,i:299},
D{l:142,t:0,i:75},
D{l:6,t:11,i:87},
D{l:6,t:11,i:1734},
D{l:7,t:11,i:20},
D{l:7,t:11,i:1056},
D{l:8,t:11,i:732},
D{l:9,t:11,i:406},
D{l:9,t:11,i:911},
D{l:138,t:11,i:694},
D{l:134,t:0,i:1383},
D{l:132,t:10,i:694},
D{l:133,t:11,i:613},
D{l:137,t:0,i:779},
D{l:4,t:0,i:598},
D{l:140,t:10,i:687},
D{l:6,t:0,i:970},
D{l:135,t:0,i:424},
D{l:133,t:0,i:547},
D{l:7,t:11,i:32},
D{l:7,t:11,i:984},
D{l:8,t:11,i:85},
D{l:8,t:11,i:709},
D{l:9,t:11,i:579},
D{l:9,t:11,i:847},
D{l:9,t:11,i:856},
D{l:10,t:11,i:799},
D{l:11,t:11,i:258},
D{l:11,t:11,i:1007},
D{l:12,t:11,i:331},
D{l:12,t:11,i:615},
D{l:13,t:11,i:188},
D{l:13,t:11,i:435},
D{l:14,t:11,i:8},
D{l:15,t:11,i:165},
D{l:16,t:11,i:27},
D{l:148,t:11,i:40},
D{l:6,t:0,i:1222},
D{l:134,t:0,i:1385},
D{l:132,t:0,i:876},
D{l:138,t:11,i:151},
D{l:135,t:10,i:213},
D{l:4,t:11,i:167},
D{l:135,t:11,i:82},
D{l:133,t:0,i:133},
D{l:6,t:11,i:24},
D{l:7,t:11,i:74},
D{l:7,t:11,i:678},
D{l:137,t:11,i:258},
D{l:5,t:11,i:62},
D{l:6,t:11,i:534},
D{l:7,t:11,i:684},
D{l:7,t:11,i:1043},
D{l:7,t:11,i:1072},
D{l:8,t:11,i:280},
D{l:8,t:11,i:541},
D{l:8,t:11,i:686},
D{l:10,t:11,i:519},
D{l:11,t:11,i:252},
D{l:140,t:11,i:282},
D{l:136,t:0,i:187},
D{l:8,t:0,i:8},
D{l:10,t:0,i:0},
D{l:10,t:0,i:818},
D{l:139,t:0,i:988},
D{l:132,t:11,i:359},
D{l:11,t:0,i:429},
D{l:15,t:0,i:51},
D{l:135,t:10,i:1672},
D{l:136,t:0,i:685},
D{l:5,t:11,i:211},
D{l:7,t:11,i:88},
D{l:136,t:11,i:627},
D{l:134,t:0,i:472},
D{l:136,t:0,i:132},
D{l:6,t:11,i:145},
D{l:141,t:11,i:336},
D{l:4,t:10,i:751},
D{l:11,t:10,i:390},
D{l:140,t:10,i:32},
D{l:6,t:0,i:938},
D{l:6,t:0,i:1060},
D{l:4,t:11,i:263},
D{l:4,t:10,i:409},
D{l:133,t:10,i:78},
D{l:137,t:0,i:874},
D{l:8,t:0,i:774},
D{l:10,t:0,i:670},
D{l:12,t:0,i:51},
D{l:4,t:11,i:916},
D{l:6,t:10,i:473},
D{l:7,t:10,i:1602},
D{l:10,t:10,i:698},
D{l:12,t:10,i:212},
D{l:13,t:10,i:307},
D{l:145,t:10,i:105},
D{l:146,t:0,i:92},
D{l:143,t:10,i:156},
D{l:132,t:0,i:830},
D{l:137,t:0,i:701},
D{l:4,t:11,i:599},
D{l:6,t:11,i:1634},
D{l:7,t:11,i:5},
D{l:7,t:11,i:55},
D{l:7,t:11,i:67},
D{l:7,t:11,i:97},
D{l:7,t:11,i:691},
D{l:7,t:11,i:979},
D{l:7,t:11,i:1697},
D{l:8,t:11,i:207},
D{l:8,t:11,i:214},
D{l:8,t:11,i:231},
D{l:8,t:11,i:294},
D{l:8,t:11,i:336},
D{l:8,t:11,i:428},
D{l:8,t:11,i:451},
D{l:8,t:11,i:460},
D{l:8,t:11,i:471},
D{l:8,t:11,i:622},
D{l:8,t:11,i:626},
D{l:8,t:11,i:679},
D{l:8,t:11,i:759},
D{l:8,t:11,i:829},
D{l:9,t:11,i:11},
D{l:9,t:11,i:246},
D{l:9,t:11,i:484},
D{l:9,t:11,i:573},
D{l:9,t:11,i:706},
D{l:9,t:11,i:762},
D{l:9,t:11,i:798},
D{l:9,t:11,i:855},
D{l:9,t:11,i:870},
D{l:9,t:11,i:912},
D{l:10,t:11,i:303},
D{l:10,t:11,i:335},
D{l:10,t:11,i:424},
D{l:10,t:11,i:461},
D{l:10,t:11,i:543},
D{l:10,t:11,i:759},
D{l:10,t:11,i:814},
D{l:11,t:11,i:59},
D{l:11,t:11,i:199},
D{l:11,t:11,i:235},
D{l:11,t:11,i:475},
D{l:11,t:11,i:590},
D{l:11,t:11,i:929},
D{l:11,t:11,i:963},
D{l:12,t:11,i:114},
D{l:12,t:11,i:182},
D{l:12,t:11,i:226},
D{l:12,t:11,i:332},
D{l:12,t:11,i:439},
D{l:12,t:11,i:575},
D{l:12,t:11,i:598},
D{l:13,t:11,i:8},
D{l:13,t:11,i:125},
D{l:13,t:11,i:194},
D{l:13,t:11,i:287},
D{l:14,t:11,i:197},
D{l:14,t:11,i:383},
D{l:15,t:11,i:53},
D{l:17,t:11,i:63},
D{l:19,t:11,i:46},
D{l:19,t:11,i:98},
D{l:19,t:11,i:106},
D{l:148,t:11,i:85},
D{l:4,t:0,i:127},
D{l:5,t:0,i:350},
D{l:6,t:0,i:356},
D{l:8,t:0,i:426},
D{l:9,t:0,i:572},
D{l:10,t:0,i:247},
D{l:139,t:0,i:312},
D{l:134,t:0,i:1215},
D{l:6,t:0,i:59},
D{l:9,t:0,i:603},
D{l:13,t:0,i:397},
D{l:7,t:11,i:1853},
D{l:138,t:11,i:437},
D{l:134,t:0,i:1762},
D{l:147,t:11,i:126},
D{l:135,t:10,i:883},
D{l:13,t:0,i:293},
D{l:142,t:0,i:56},
D{l:133,t:10,i:617},
D{l:139,t:10,i:50},
D{l:5,t:11,i:187},
D{l:7,t:10,i:1518},
D{l:139,t:10,i:694},
D{l:135,t:0,i:441},
D{l:6,t:0,i:111},
D{l:7,t:0,i:4},
D{l:8,t:0,i:163},
D{l:8,t:0,i:776},
D{l:138,t:0,i:566},
D{l:132,t:0,i:806},
D{l:4,t:11,i:215},
D{l:9,t:11,i:38},
D{l:10,t:11,i:3},
D{l:11,t:11,i:23},
D{l:11,t:11,i:127},
D{l:139,t:11,i:796},
D{l:14,t:0,i:233},
D{l:4,t:10,i:546},
D{l:135,t:10,i:2042},
D{l:135,t:0,i:1994},
D{l:134,t:0,i:1739},
D{l:135,t:11,i:1530},
D{l:136,t:0,i:393},
D{l:5,t:0,i:297},
D{l:7,t:0,i:1038},
D{l:14,t:0,i:359},
D{l:19,t:0,i:52},
D{l:148,t:0,i:47},
D{l:135,t:0,i:309},
D{l:4,t:10,i:313},
D{l:133,t:10,i:577},
D{l:8,t:10,i:184},
D{l:141,t:10,i:433},
D{l:135,t:10,i:935},
D{l:12,t:10,i:186},
D{l:12,t:10,i:292},
D{l:14,t:10,i:100},
D{l:146,t:10,i:70},
D{l:136,t:0,i:363},
D{l:14,t:0,i:175},
D{l:11,t:10,i:402},
D{l:12,t:10,i:109},
D{l:12,t:10,i:431},
D{l:13,t:10,i:179},
D{l:13,t:10,i:206},
D{l:14,t:10,i:217},
D{l:16,t:10,i:3},
D{l:148,t:10,i:53},
D{l:5,t:10,i:886},
D{l:6,t:10,i:46},
D{l:6,t:10,i:1790},
D{l:7,t:10,i:14},
D{l:7,t:10,i:732},
D{l:7,t:10,i:1654},
D{l:8,t:10,i:95},
D{l:8,t:10,i:327},
D{l:8,t:10,i:616},
D{l:9,t:10,i:892},
D{l:10,t:10,i:598},
D{l:10,t:10,i:769},
D{l:11,t:10,i:134},
D{l:11,t:10,i:747},
D{l:12,t:10,i:378},
D{l:142,t:10,i:97},
D{l:136,t:0,i:666},
D{l:135,t:0,i:1675},
D{l:6,t:0,i:655},
D{l:134,t:0,i:1600},
D{l:135,t:0,i:808},
D{l:133,t:10,i:1021},
D{l:4,t:11,i:28},
D{l:5,t:11,i:440},
D{l:7,t:11,i:248},
D{l:11,t:11,i:833},
D{l:140,t:11,i:344},
D{l:134,t:11,i:1654},
D{l:132,t:0,i:280},
D{l:140,t:0,i:54},
D{l:4,t:0,i:421},
D{l:133,t:0,i:548},
D{l:132,t:10,i:153},
D{l:6,t:11,i:339},
D{l:135,t:11,i:923},
D{l:133,t:11,i:853},
D{l:133,t:10,i:798},
D{l:132,t:10,i:587},
D{l:6,t:11,i:249},
D{l:7,t:11,i:1234},
D{l:139,t:11,i:573},
D{l:6,t:10,i:598},
D{l:7,t:10,i:42},
D{l:8,t:10,i:695},
D{l:10,t:10,i:212},
D{l:11,t:10,i:158},
D{l:14,t:10,i:196},
D{l:145,t:10,i:85},
D{l:7,t:0,i:249},
D{l:5,t:10,i:957},
D{l:133,t:10,i:1008},
D{l:4,t:10,i:129},
D{l:135,t:10,i:465},
D{l:6,t:0,i:254},
D{l:7,t:0,i:842},
D{l:7,t:0,i:1659},
D{l:9,t:0,i:109},
D{l:10,t:0,i:103},
D{l:7,t:10,i:908},
D{l:7,t:10,i:1201},
D{l:9,t:10,i:755},
D{l:11,t:10,i:906},
D{l:12,t:10,i:527},
D{l:146,t:10,i:7},
D{l:5,t:0,i:262},
D{l:136,t:10,i:450},
D{l:144,t:0,i:1},
D{l:10,t:11,i:201},
D{l:142,t:11,i:319},
D{l:7,t:11,i:49},
D{l:7,t:11,i:392},
D{l:8,t:11,i:20},
D{l:8,t:11,i:172},
D{l:8,t:11,i:690},
D{l:9,t:11,i:383},
D{l:9,t:11,i:845},
D{l:10,t:11,i:48},
D{l:11,t:11,i:293},
D{l:11,t:11,i:832},
D{l:11,t:11,i:920},
D{l:141,t:11,i:221},
D{l:5,t:11,i:858},
D{l:133,t:11,i:992},
D{l:134,t:0,i:805},
D{l:139,t:10,i:1003},
D{l:6,t:0,i:1630},
D{l:134,t:11,i:307},
D{l:7,t:11,i:1512},
D{l:135,t:11,i:1794},
D{l:6,t:11,i:268},
D{l:137,t:11,i:62},
D{l:135,t:10,i:1868},
D{l:133,t:0,i:671},
D{l:4,t:0,i:989},
D{l:8,t:0,i:972},
D{l:136,t:0,i:998},
D{l:132,t:11,i:423},
D{l:132,t:0,i:889},
D{l:135,t:0,i:1382},
D{l:135,t:0,i:1910},
D{l:7,t:10,i:965},
D{l:7,t:10,i:1460},
D{l:135,t:10,i:1604},
D{l:4,t:0,i:627},
D{l:5,t:0,i:775},
D{l:138,t:11,i:106},
D{l:134,t:11,i:348},
D{l:7,t:0,i:202},
D{l:11,t:0,i:362},
D{l:11,t:0,i:948},
D{l:140,t:0,i:388},
D{l:138,t:11,i:771},
D{l:6,t:11,i:613},
D{l:136,t:11,i:223},
D{l:6,t:0,i:560},
D{l:7,t:0,i:451},
D{l:8,t:0,i:389},
D{l:12,t:0,i:490},
D{l:13,t:0,i:16},
D{l:13,t:0,i:215},
D{l:13,t:0,i:351},
D{l:18,t:0,i:132},
D{l:147,t:0,i:125},
D{l:135,t:0,i:841},
D{l:136,t:0,i:566},
D{l:136,t:0,i:938},
D{l:132,t:11,i:670},
D{l:5,t:0,i:912},
D{l:6,t:0,i:1695},
D{l:140,t:11,i:55},
D{l:9,t:11,i:40},
D{l:139,t:11,i:136},
D{l:7,t:0,i:1361},
D{l:7,t:10,i:982},
D{l:10,t:10,i:32},
D{l:143,t:10,i:56},
D{l:11,t:11,i:259},
D{l:140,t:11,i:270},
D{l:5,t:0,i:236},
D{l:6,t:0,i:572},
D{l:8,t:0,i:492},
D{l:11,t:0,i:618},
D{l:144,t:0,i:56},
D{l:8,t:11,i:572},
D{l:9,t:11,i:310},
D{l:9,t:11,i:682},
D{l:137,t:11,i:698},
D{l:134,t:0,i:1854},
D{l:5,t:0,i:190},
D{l:136,t:0,i:318},
D{l:133,t:10,i:435},
D{l:135,t:0,i:1376},
D{l:4,t:11,i:296},
D{l:6,t:11,i:352},
D{l:7,t:11,i:401},
D{l:7,t:11,i:1410},
D{l:7,t:11,i:1594},
D{l:7,t:11,i:1674},
D{l:8,t:11,i:63},
D{l:8,t:11,i:660},
D{l:137,t:11,i:74},
D{l:7,t:0,i:349},
D{l:5,t:10,i:85},
D{l:6,t:10,i:419},
D{l:7,t:10,i:305},
D{l:7,t:10,i:361},
D{l:7,t:10,i:1337},
D{l:8,t:10,i:71},
D{l:140,t:10,i:519},
D{l:4,t:11,i:139},
D{l:4,t:11,i:388},
D{l:140,t:11,i:188},
D{l:6,t:0,i:1972},
D{l:6,t:0,i:2013},
D{l:8,t:0,i:951},
D{l:10,t:0,i:947},
D{l:10,t:0,i:974},
D{l:10,t:0,i:1018},
D{l:142,t:0,i:476},
D{l:140,t:10,i:688},
D{l:135,t:10,i:740},
D{l:5,t:10,i:691},
D{l:7,t:10,i:345},
D{l:9,t:10,i:94},
D{l:140,t:10,i:169},
D{l:9,t:0,i:344},
D{l:5,t:10,i:183},
D{l:6,t:10,i:582},
D{l:10,t:10,i:679},
D{l:140,t:10,i:435},
D{l:135,t:10,i:511},
D{l:132,t:0,i:850},
D{l:8,t:11,i:441},
D{l:10,t:11,i:314},
D{l:143,t:11,i:3},
D{l:7,t:10,i:1993},
D{l:136,t:10,i:684},
D{l:4,t:11,i:747},
D{l:6,t:11,i:290},
D{l:6,t:10,i:583},
D{l:7,t:11,i:649},
D{l:7,t:11,i:1479},
D{l:135,t:11,i:1583},
D{l:133,t:11,i:232},
D{l:133,t:10,i:704},
D{l:134,t:0,i:910},
D{l:4,t:10,i:179},
D{l:5,t:10,i:198},
D{l:133,t:10,i:697},
D{l:7,t:10,i:347},
D{l:7,t:10,i:971},
D{l:8,t:10,i:181},
D{l:138,t:10,i:711},
D{l:136,t:11,i:525},
D{l:14,t:0,i:19},
D{l:14,t:0,i:28},
D{l:144,t:0,i:29},
D{l:7,t:0,i:85},
D{l:7,t:0,i:247},
D{l:8,t:0,i:585},
D{l:138,t:0,i:163},
D{l:4,t:0,i:487},
D{l:7,t:11,i:472},
D{l:7,t:11,i:1801},
D{l:10,t:11,i:748},
D{l:141,t:11,i:458},
D{l:4,t:10,i:243},
D{l:5,t:10,i:203},
D{l:7,t:10,i:19},
D{l:7,t:10,i:71},
D{l:7,t:10,i:113},
D{l:10,t:10,i:405},
D{l:11,t:10,i:357},
D{l:142,t:10,i:240},
D{l:7,t:10,i:1450},
D{l:139,t:10,i:99},
D{l:132,t:11,i:425},
D{l:138,t:0,i:145},
D{l:147,t:0,i:83},
D{l:6,t:10,i:492},
D{l:137,t:11,i:247},
D{l:4,t:0,i:1013},
D{l:134,t:0,i:2033},
D{l:5,t:10,i:134},
D{l:6,t:10,i:408},
D{l:6,t:10,i:495},
D{l:135,t:10,i:1593},
D{l:135,t:0,i:1922},
D{l:134,t:11,i:1768},
D{l:4,t:0,i:124},
D{l:10,t:0,i:457},
D{l:11,t:0,i:121},
D{l:11,t:0,i:169},
D{l:11,t:0,i:870},
D{l:11,t:0,i:874},
D{l:12,t:0,i:214},
D{l:14,t:0,i:187},
D{l:143,t:0,i:77},
D{l:5,t:0,i:557},
D{l:135,t:0,i:1457},
D{l:139,t:0,i:66},
D{l:5,t:11,i:943},
D{l:6,t:11,i:1779},
D{l:142,t:10,i:4},
D{l:4,t:10,i:248},
D{l:4,t:10,i:665},
D{l:7,t:10,i:137},
D{l:137,t:10,i:349},
D{l:7,t:0,i:1193},
D{l:5,t:11,i:245},
D{l:6,t:11,i:576},
D{l:7,t:11,i:582},
D{l:136,t:11,i:225},
D{l:144,t:0,i:82},
D{l:7,t:10,i:1270},
D{l:139,t:10,i:612},
D{l:5,t:0,i:454},
D{l:10,t:0,i:352},
D{l:138,t:11,i:352},
D{l:18,t:0,i:57},
D{l:5,t:10,i:371},
D{l:135,t:10,i:563},
D{l:135,t:0,i:1333},
D{l:6,t:0,i:107},
D{l:7,t:0,i:638},
D{l:7,t:0,i:1632},
D{l:9,t:0,i:396},
D{l:134,t:11,i:610},
D{l:5,t:0,i:370},
D{l:134,t:0,i:1756},
D{l:4,t:10,i:374},
D{l:7,t:10,i:547},
D{l:7,t:10,i:1700},
D{l:7,t:10,i:1833},
D{l:139,t:10,i:858},
D{l:133,t:0,i:204},
D{l:6,t:0,i:1305},
D{l:9,t:10,i:311},
D{l:141,t:10,i:42},
D{l:5,t:0,i:970},
D{l:134,t:0,i:1706},
D{l:6,t:10,i:1647},
D{l:7,t:10,i:1552},
D{l:7,t:10,i:2010},
D{l:9,t:10,i:494},
D{l:137,t:10,i:509},
D{l:13,t:11,i:455},
D{l:15,t:11,i:99},
D{l:15,t:11,i:129},
D{l:144,t:11,i:68},
D{l:135,t:0,i:3},
D{l:4,t:0,i:35},
D{l:5,t:0,i:121},
D{l:5,t:0,i:483},
D{l:5,t:0,i:685},
D{l:6,t:0,i:489},
D{l:6,t:0,i:782},
D{l:6,t:0,i:1032},
D{l:7,t:0,i:1204},
D{l:136,t:0,i:394},
D{l:4,t:0,i:921},
D{l:133,t:0,i:1007},
D{l:8,t:11,i:360},
D{l:138,t:11,i:63},
D{l:135,t:0,i:1696},
D{l:134,t:0,i:1519},
D{l:132,t:11,i:443},
D{l:135,t:11,i:944},
D{l:6,t:10,i:123},
D{l:7,t:10,i:214},
D{l:9,t:10,i:728},
D{l:10,t:10,i:157},
D{l:11,t:10,i:346},
D{l:11,t:10,i:662},
D{l:143,t:10,i:106},
D{l:137,t:0,i:981},
D{l:135,t:10,i:1435},
D{l:134,t:0,i:1072},
D{l:132,t:0,i:712},
D{l:134,t:0,i:1629},
D{l:134,t:0,i:728},
D{l:4,t:11,i:298},
D{l:137,t:11,i:483},
D{l:6,t:0,i:1177},
D{l:6,t:0,i:1271},
D{l:5,t:11,i:164},
D{l:7,t:11,i:121},
D{l:142,t:11,i:189},
D{l:7,t:0,i:1608},
D{l:4,t:10,i:707},
D{l:5,t:10,i:588},
D{l:6,t:10,i:393},
D{l:13,t:10,i:106},
D{l:18,t:10,i:49},
D{l:147,t:10,i:41},
D{l:23,t:0,i:16},
D{l:151,t:11,i:16},
D{l:6,t:10,i:211},
D{l:7,t:10,i:1690},
D{l:11,t:10,i:486},
D{l:140,t:10,i:369},
D{l:133,t:0,i:485},
D{l:19,t:11,i:15},
D{l:149,t:11,i:27},
D{l:4,t:11,i:172},
D{l:9,t:11,i:611},
D{l:10,t:11,i:436},
D{l:12,t:11,i:673},
D{l:141,t:11,i:255},
D{l:5,t:11,i:844},
D{l:10,t:11,i:484},
D{l:11,t:11,i:754},
D{l:12,t:11,i:457},
D{l:14,t:11,i:171},
D{l:14,t:11,i:389},
D{l:146,t:11,i:153},
D{l:4,t:0,i:285},
D{l:5,t:0,i:27},
D{l:5,t:0,i:317},
D{l:6,t:0,i:301},
D{l:7,t:0,i:7},
D{l:8,t:0,i:153},
D{l:10,t:0,i:766},
D{l:11,t:0,i:468},
D{l:12,t:0,i:467},
D{l:141,t:0,i:143},
D{l:134,t:0,i:1462},
D{l:9,t:11,i:263},
D{l:10,t:11,i:147},
D{l:138,t:11,i:492},
D{l:133,t:11,i:537},
D{l:6,t:0,i:1945},
D{l:6,t:0,i:1986},
D{l:6,t:0,i:1991},
D{l:134,t:0,i:2038},
D{l:134,t:10,i:219},
D{l:137,t:11,i:842},
D{l:14,t:0,i:52},
D{l:17,t:0,i:50},
D{l:5,t:10,i:582},
D{l:6,t:10,i:1646},
D{l:7,t:10,i:99},
D{l:7,t:10,i:1962},
D{l:7,t:10,i:1986},
D{l:8,t:10,i:515},
D{l:8,t:10,i:773},
D{l:9,t:10,i:23},
D{l:9,t:10,i:491},
D{l:12,t:10,i:620},
D{l:142,t:10,i:93},
D{l:138,t:11,i:97},
D{l:20,t:0,i:21},
D{l:20,t:0,i:44},
D{l:133,t:10,i:851},
D{l:136,t:0,i:819},
D{l:139,t:0,i:917},
D{l:5,t:11,i:230},
D{l:5,t:11,i:392},
D{l:6,t:11,i:420},
D{l:8,t:10,i:762},
D{l:8,t:10,i:812},
D{l:9,t:11,i:568},
D{l:9,t:10,i:910},
D{l:140,t:11,i:612},
D{l:135,t:0,i:784},
D{l:15,t:0,i:135},
D{l:143,t:11,i:135},
D{l:10,t:0,i:454},
D{l:140,t:0,i:324},
D{l:4,t:11,i:0},
D{l:5,t:11,i:41},
D{l:7,t:11,i:1459},
D{l:7,t:11,i:1469},
D{l:7,t:11,i:1618},
D{l:7,t:11,i:1859},
D{l:9,t:11,i:549},
D{l:139,t:11,i:905},
D{l:4,t:10,i:98},
D{l:7,t:10,i:1365},
D{l:9,t:10,i:422},
D{l:9,t:10,i:670},
D{l:10,t:10,i:775},
D{l:11,t:10,i:210},
D{l:13,t:10,i:26},
D{l:13,t:10,i:457},
D{l:141,t:10,i:476},
D{l:6,t:0,i:1719},
D{l:6,t:0,i:1735},
D{l:7,t:0,i:2016},
D{l:7,t:0,i:2020},
D{l:8,t:0,i:837},
D{l:137,t:0,i:852},
D{l:133,t:11,i:696},
D{l:135,t:0,i:852},
D{l:132,t:0,i:952},
D{l:134,t:10,i:1730},
D{l:132,t:11,i:771},
D{l:138,t:0,i:568},
D{l:137,t:0,i:448},
D{l:139,t:0,i:146},
D{l:8,t:0,i:67},
D{l:138,t:0,i:419},
D{l:133,t:11,i:921},
D{l:137,t:10,i:147},
D{l:134,t:0,i:1826},
D{l:10,t:0,i:657},
D{l:14,t:0,i:297},
D{l:142,t:0,i:361},
D{l:6,t:0,i:666},
D{l:6,t:0,i:767},
D{l:134,t:0,i:1542},
D{l:139,t:0,i:729},
D{l:6,t:11,i:180},
D{l:7,t:11,i:1137},
D{l:8,t:11,i:751},
D{l:139,t:11,i:805},
D{l:4,t:11,i:183},
D{l:7,t:11,i:271},
D{l:11,t:11,i:824},
D{l:11,t:11,i:952},
D{l:13,t:11,i:278},
D{l:13,t:11,i:339},
D{l:13,t:11,i:482},
D{l:14,t:11,i:424},
D{l:148,t:11,i:99},
D{l:4,t:0,i:669},
D{l:5,t:11,i:477},
D{l:5,t:11,i:596},
D{l:6,t:11,i:505},
D{l:7,t:11,i:1221},
D{l:11,t:11,i:907},
D{l:12,t:11,i:209},
D{l:141,t:11,i:214},
D{l:135,t:11,i:1215},
D{l:5,t:0,i:402},
D{l:6,t:10,i:30},
D{l:11,t:10,i:56},
D{l:139,t:10,i:305},
D{l:7,t:11,i:564},
D{l:142,t:11,i:168},
D{l:139,t:0,i:152},
D{l:7,t:0,i:912},
D{l:135,t:10,i:1614},
D{l:4,t:10,i:150},
D{l:5,t:10,i:303},
D{l:134,t:10,i:327},
D{l:7,t:0,i:320},
D{l:8,t:0,i:51},
D{l:9,t:0,i:868},
D{l:10,t:0,i:833},
D{l:12,t:0,i:481},
D{l:12,t:0,i:570},
D{l:148,t:0,i:106},
D{l:132,t:0,i:445},
D{l:7,t:11,i:274},
D{l:11,t:11,i:263},
D{l:11,t:11,i:479},
D{l:11,t:11,i:507},
D{l:140,t:11,i:277},
D{l:10,t:0,i:555},
D{l:11,t:0,i:308},
D{l:19,t:0,i:95},
D{l:6,t:11,i:1645},
D{l:8,t:10,i:192},
D{l:10,t:10,i:78},
D{l:141,t:10,i:359},
D{l:135,t:10,i:786},
D{l:6,t:11,i:92},
D{l:6,t:11,i:188},
D{l:7,t:11,i:1269},
D{l:7,t:11,i:1524},
D{l:7,t:11,i:1876},
D{l:10,t:11,i:228},
D{l:139,t:11,i:1020},
D{l:4,t:11,i:459},
D{l:133,t:11,i:966},
D{l:11,t:0,i:386},
D{l:6,t:10,i:1638},
D{l:7,t:10,i:79},
D{l:7,t:10,i:496},
D{l:9,t:10,i:138},
D{l:10,t:10,i:336},
D{l:12,t:10,i:412},
D{l:12,t:10,i:440},
D{l:142,t:10,i:305},
D{l:133,t:0,i:239},
D{l:7,t:0,i:83},
D{l:7,t:0,i:1990},
D{l:8,t:0,i:130},
D{l:139,t:0,i:720},
D{l:138,t:11,i:709},
D{l:4,t:0,i:143},
D{l:5,t:0,i:550},
D{l:133,t:0,i:752},
D{l:5,t:0,i:123},
D{l:6,t:0,i:530},
D{l:7,t:0,i:348},
D{l:135,t:0,i:1419},
D{l:135,t:0,i:2024},
D{l:6,t:11,i:18},
D{l:7,t:11,i:179},
D{l:7,t:11,i:721},
D{l:7,t:11,i:932},
D{l:8,t:11,i:548},
D{l:8,t:11,i:757},
D{l:9,t:11,i:54},
D{l:9,t:11,i:65},
D{l:9,t:11,i:532},
D{l:9,t:11,i:844},
D{l:10,t:11,i:113},
D{l:10,t:11,i:117},
D{l:10,t:11,i:236},
D{l:10,t:11,i:315},
D{l:10,t:11,i:430},
D{l:10,t:11,i:798},
D{l:11,t:11,i:153},
D{l:11,t:11,i:351},
D{l:11,t:11,i:375},
D{l:12,t:11,i:78},
D{l:12,t:11,i:151},
D{l:12,t:11,i:392},
D{l:14,t:11,i:248},
D{l:143,t:11,i:23},
D{l:7,t:10,i:204},
D{l:7,t:10,i:415},
D{l:8,t:10,i:42},
D{l:10,t:10,i:85},
D{l:139,t:10,i:564},
D{l:134,t:0,i:958},
D{l:133,t:11,i:965},
D{l:132,t:0,i:210},
D{l:135,t:11,i:1429},
D{l:138,t:11,i:480},
D{l:134,t:11,i:182},
D{l:139,t:11,i:345},
D{l:10,t:11,i:65},
D{l:10,t:11,i:488},
D{l:138,t:11,i:497},
D{l:4,t:10,i:3},
D{l:5,t:10,i:247},
D{l:5,t:10,i:644},
D{l:7,t:10,i:744},
D{l:7,t:10,i:1207},
D{l:7,t:10,i:1225},
D{l:7,t:10,i:1909},
D{l:146,t:10,i:147},
D{l:132,t:0,i:430},
D{l:5,t:10,i:285},
D{l:9,t:10,i:67},
D{l:13,t:10,i:473},
D{l:143,t:10,i:82},
D{l:144,t:11,i:16},
D{l:7,t:11,i:1162},
D{l:9,t:11,i:588},
D{l:10,t:11,i:260},
D{l:151,t:10,i:8},
D{l:133,t:0,i:213},
D{l:138,t:0,i:7},
D{l:135,t:0,i:801},
D{l:134,t:11,i:1786},
D{l:135,t:11,i:308},
D{l:6,t:0,i:936},
D{l:134,t:0,i:1289},
D{l:133,t:0,i:108},
D{l:132,t:0,i:885},
D{l:133,t:0,i:219},
D{l:139,t:0,i:587},
D{l:4,t:0,i:193},
D{l:5,t:0,i:916},
D{l:6,t:0,i:1041},
D{l:7,t:0,i:364},
D{l:10,t:0,i:398},
D{l:10,t:0,i:726},
D{l:11,t:0,i:317},
D{l:11,t:0,i:626},
D{l:12,t:0,i:142},
D{l:12,t:0,i:288},
D{l:12,t:0,i:678},
D{l:13,t:0,i:313},
D{l:15,t:0,i:113},
D{l:146,t:0,i:114},
D{l:135,t:0,i:1165},
D{l:6,t:0,i:241},
D{l:9,t:0,i:342},
D{l:10,t:0,i:729},
D{l:11,t:0,i:284},
D{l:11,t:0,i:445},
D{l:11,t:0,i:651},
D{l:11,t:0,i:863},
D{l:13,t:0,i:398},
D{l:146,t:0,i:99},
D{l:7,t:0,i:907},
D{l:136,t:0,i:832},
D{l:9,t:0,i:303},
D{l:4,t:10,i:29},
D{l:6,t:10,i:532},
D{l:7,t:10,i:1628},
D{l:7,t:10,i:1648},
D{l:9,t:10,i:350},
D{l:10,t:10,i:433},
D{l:11,t:10,i:97},
D{l:11,t:10,i:557},
D{l:11,t:10,i:745},
D{l:12,t:10,i:289},
D{l:12,t:10,i:335},
D{l:12,t:10,i:348},
D{l:12,t:10,i:606},
D{l:13,t:10,i:116},
D{l:13,t:10,i:233},
D{l:13,t:10,i:466},
D{l:14,t:10,i:181},
D{l:14,t:10,i:209},
D{l:14,t:10,i:232},
D{l:14,t:10,i:236},
D{l:14,t:10,i:300},
D{l:16,t:10,i:41},
D{l:148,t:10,i:97},
D{l:7,t:11,i:423},
D{l:7,t:10,i:1692},
D{l:136,t:11,i:588},
D{l:6,t:0,i:931},
D{l:134,t:0,i:1454},
D{l:5,t:10,i:501},
D{l:7,t:10,i:1704},
D{l:9,t:10,i:553},
D{l:11,t:10,i:520},
D{l:12,t:10,i:557},
D{l:141,t:10,i:249},
D{l:136,t:11,i:287},
D{l:4,t:0,i:562},
D{l:9,t:0,i:254},
D{l:139,t:0,i:879},
D{l:132,t:0,i:786},
D{l:14,t:11,i:32},
D{l:18,t:11,i:85},
D{l:20,t:11,i:2},
D{l:152,t:11,i:16},
D{l:135,t:0,i:1294},
D{l:7,t:11,i:723},
D{l:135,t:11,i:1135},
D{l:6,t:0,i:216},
D{l:7,t:0,i:901},
D{l:7,t:0,i:1343},
D{l:8,t:0,i:493},
D{l:134,t:11,i:403},
D{l:7,t:11,i:719},
D{l:8,t:11,i:809},
D{l:136,t:11,i:834},
D{l:5,t:11,i:210},
D{l:6,t:11,i:213},
D{l:7,t:11,i:60},
D{l:10,t:11,i:364},
D{l:139,t:11,i:135},
D{l:7,t:0,i:341},
D{l:11,t:0,i:219},
D{l:5,t:11,i:607},
D{l:8,t:11,i:326},
D{l:136,t:11,i:490},
D{l:4,t:11,i:701},
D{l:5,t:11,i:472},
D{l:5,t:11,i:639},
D{l:7,t:11,i:1249},
D{l:9,t:11,i:758},
D{l:139,t:11,i:896},
D{l:135,t:11,i:380},
D{l:135,t:11,i:1947},
D{l:139,t:0,i:130},
D{l:135,t:0,i:1734},
D{l:10,t:0,i:115},
D{l:11,t:0,i:420},
D{l:12,t:0,i:154},
D{l:13,t:0,i:404},
D{l:14,t:0,i:346},
D{l:143,t:0,i:54},
D{l:134,t:10,i:129},
D{l:4,t:11,i:386},
D{l:7,t:11,i:41},
D{l:8,t:11,i:405},
D{l:9,t:11,i:497},
D{l:11,t:11,i:110},
D{l:11,t:11,i:360},
D{l:15,t:11,i:37},
D{l:144,t:11,i:84},
D{l:141,t:11,i:282},
D{l:5,t:11,i:46},
D{l:7,t:11,i:1452},
D{l:7,t:11,i:1480},
D{l:8,t:11,i:634},
D{l:140,t:11,i:472},
D{l:4,t:11,i:524},
D{l:136,t:11,i:810},
D{l:10,t:11,i:238},
D{l:141,t:11,i:33},
D{l:133,t:0,i:604},
D{l:5,t:0,i:1011},
D{l:136,t:0,i:701},
D{l:8,t:0,i:856},
D{l:8,t:0,i:858},
D{l:8,t:0,i:879},
D{l:12,t:0,i:702},
D{l:142,t:0,i:447},
D{l:4,t:0,i:54},
D{l:5,t:0,i:666},
D{l:7,t:0,i:1039},
D{l:7,t:0,i:1130},
D{l:9,t:0,i:195},
D{l:138,t:0,i:302},
D{l:4,t:10,i:25},
D{l:5,t:10,i:60},
D{l:6,t:10,i:504},
D{l:7,t:10,i:614},
D{l:7,t:10,i:1155},
D{l:140,t:10,i:0},
D{l:7,t:10,i:1248},
D{l:11,t:10,i:621},
D{l:139,t:10,i:702},
D{l:133,t:11,i:997},
D{l:137,t:10,i:321},
D{l:134,t:0,i:1669},
D{l:134,t:0,i:1791},
D{l:4,t:10,i:379},
D{l:135,t:10,i:1397},
D{l:138,t:11,i:372},
D{l:5,t:11,i:782},
D{l:5,t:11,i:829},
D{l:134,t:11,i:1738},
D{l:135,t:0,i:1228},
D{l:4,t:10,i:118},
D{l:6,t:10,i:274},
D{l:6,t:10,i:361},
D{l:7,t:10,i:75},
D{l:141,t:10,i:441},
D{l:132,t:0,i:623},
D{l:9,t:11,i:279},
D{l:10,t:11,i:407},
D{l:14,t:11,i:84},
D{l:150,t:11,i:18},
D{l:137,t:10,i:841},
D{l:135,t:0,i:798},
D{l:140,t:10,i:693},
D{l:5,t:10,i:314},
D{l:6,t:10,i:221},
D{l:7,t:10,i:419},
D{l:10,t:10,i:650},
D{l:11,t:10,i:396},
D{l:12,t:10,i:156},
D{l:13,t:10,i:369},
D{l:14,t:10,i:333},
D{l:145,t:10,i:47},
D{l:135,t:11,i:1372},
D{l:7,t:0,i:122},
D{l:9,t:0,i:259},
D{l:10,t:0,i:84},
D{l:11,t:0,i:470},
D{l:12,t:0,i:541},
D{l:141,t:0,i:379},
D{l:134,t:0,i:837},
D{l:8,t:0,i:1013},
D{l:4,t:11,i:78},
D{l:5,t:11,i:96},
D{l:5,t:11,i:182},
D{l:7,t:11,i:1724},
D{l:7,t:11,i:1825},
D{l:10,t:11,i:394},
D{l:10,t:11,i:471},
D{l:11,t:11,i:532},
D{l:14,t:11,i:340},
D{l:145,t:11,i:88},
D{l:134,t:0,i:577},
D{l:135,t:11,i:1964},
D{l:132,t:10,i:913},
D{l:134,t:0,i:460},
D{l:8,t:0,i:891},
D{l:10,t:0,i:901},
D{l:10,t:0,i:919},
D{l:10,t:0,i:932},
D{l:12,t:0,i:715},
D{l:12,t:0,i:728},
D{l:12,t:0,i:777},
D{l:14,t:0,i:457},
D{l:144,t:0,i:103},
D{l:5,t:0,i:82},
D{l:5,t:0,i:131},
D{l:7,t:0,i:1755},
D{l:8,t:0,i:31},
D{l:9,t:0,i:168},
D{l:9,t:0,i:764},
D{l:139,t:0,i:869},
D{l:136,t:10,i:475},
D{l:6,t:0,i:605},
D{l:5,t:10,i:1016},
D{l:9,t:11,i:601},
D{l:9,t:11,i:619},
D{l:10,t:11,i:505},
D{l:10,t:11,i:732},
D{l:11,t:11,i:355},
D{l:140,t:11,i:139},
D{l:7,t:10,i:602},
D{l:8,t:10,i:179},
D{l:10,t:10,i:781},
D{l:140,t:10,i:126},
D{l:134,t:0,i:1246},
D{l:6,t:10,i:329},
D{l:138,t:10,i:111},
D{l:6,t:11,i:215},
D{l:7,t:11,i:1028},
D{l:7,t:11,i:1473},
D{l:7,t:11,i:1721},
D{l:9,t:11,i:424},
D{l:138,t:11,i:779},
D{l:5,t:0,i:278},
D{l:137,t:0,i:68},
D{l:6,t:0,i:932},
D{l:6,t:0,i:1084},
D{l:144,t:0,i:86},
D{l:4,t:0,i:163},
D{l:5,t:0,i:201},
D{l:5,t:0,i:307},
D{l:5,t:0,i:310},
D{l:6,t:0,i:335},
D{l:7,t:0,i:284},
D{l:7,t:0,i:1660},
D{l:136,t:0,i:165},
D{l:136,t:0,i:781},
D{l:134,t:0,i:707},
D{l:6,t:0,i:33},
D{l:135,t:0,i:1244},
D{l:5,t:10,i:821},
D{l:6,t:11,i:67},
D{l:6,t:10,i:1687},
D{l:7,t:11,i:258},
D{l:7,t:11,i:1630},
D{l:9,t:11,i:354},
D{l:9,t:11,i:675},
D{l:10,t:11,i:830},
D{l:14,t:11,i:80},
D{l:145,t:11,i:80},
D{l:6,t:11,i:141},
D{l:7,t:11,i:225},
D{l:9,t:11,i:59},
D{l:9,t:11,i:607},
D{l:10,t:11,i:312},
D{l:11,t:11,i:687},
D{l:12,t:11,i:555},
D{l:13,t:11,i:373},
D{l:13,t:11,i:494},
D{l:148,t:11,i:58},
D{l:134,t:0,i:1113},
D{l:9,t:0,i:388},
D{l:5,t:10,i:71},
D{l:7,t:10,i:1407},
D{l:9,t:10,i:704},
D{l:10,t:10,i:261},
D{l:10,t:10,i:619},
D{l:11,t:10,i:547},
D{l:11,t:10,i:619},
D{l:143,t:10,i:157},
D{l:7,t:0,i:1953},
D{l:136,t:0,i:720},
D{l:138,t:0,i:203},
D{l:7,t:10,i:2008},
D{l:9,t:10,i:337},
D{l:138,t:10,i:517},
D{l:6,t:0,i:326},
D{l:7,t:0,i:677},
D{l:137,t:0,i:425},
D{l:139,t:11,i:81},
D{l:7,t:0,i:1316},
D{l:7,t:0,i:1412},
D{l:7,t:0,i:1839},
D{l:9,t:0,i:589},
D{l:11,t:0,i:241},
D{l:11,t:0,i:676},
D{l:11,t:0,i:811},
D{l:11,t:0,i:891},
D{l:12,t:0,i:140},
D{l:12,t:0,i:346},
D{l:12,t:0,i:479},
D{l:13,t:0,i:140},
D{l:13,t:0,i:381},
D{l:14,t:0,i:188},
D{l:18,t:0,i:30},
D{l:148,t:0,i:108},
D{l:5,t:0,i:416},
D{l:6,t:10,i:86},
D{l:6,t:10,i:603},
D{l:7,t:10,i:292},
D{l:7,t:10,i:561},
D{l:8,t:10,i:257},
D{l:8,t:10,i:382},
D{l:9,t:10,i:721},
D{l:9,t:10,i:778},
D{l:11,t:10,i:581},
D{l:140,t:10,i:466},
D{l:4,t:10,i:486},
D{l:133,t:10,i:491},
D{l:134,t:0,i:1300},
D{l:132,t:10,i:72},
D{l:7,t:0,i:847},
D{l:6,t:10,i:265},
D{l:7,t:11,i:430},
D{l:139,t:11,i:46},
D{l:5,t:11,i:602},
D{l:6,t:11,i:106},
D{l:7,t:11,i:1786},
D{l:7,t:11,i:1821},
D{l:7,t:11,i:2018},
D{l:9,t:11,i:418},
D{l:137,t:11,i:763},
D{l:5,t:0,i:358},
D{l:7,t:0,i:535},
D{l:7,t:0,i:1184},
D{l:10,t:0,i:662},
D{l:13,t:0,i:212},
D{l:13,t:0,i:304},
D{l:13,t:0,i:333},
D{l:145,t:0,i:98},
D{l:5,t:11,i:65},
D{l:6,t:11,i:416},
D{l:7,t:11,i:1720},
D{l:7,t:11,i:1924},
D{l:8,t:11,i:677},
D{l:10,t:11,i:109},
D{l:11,t:11,i:14},
D{l:11,t:11,i:70},
D{l:11,t:11,i:569},
D{l:11,t:11,i:735},
D{l:15,t:11,i:153},
D{l:148,t:11,i:80},
D{l:6,t:0,i:1823},
D{l:8,t:0,i:839},
D{l:8,t:0,i:852},
D{l:8,t:0,i:903},
D{l:10,t:0,i:940},
D{l:12,t:0,i:707},
D{l:140,t:0,i:775},
D{l:135,t:11,i:1229},
D{l:6,t:0,i:1522},
D{l:140,t:0,i:654},
D{l:136,t:11,i:595},
D{l:139,t:0,i:163},
D{l:141,t:0,i:314},
D{l:132,t:0,i:978},
D{l:4,t:0,i:601},
D{l:6,t:0,i:2035},
D{l:137,t:10,i:234},
D{l:5,t:10,i:815},
D{l:6,t:10,i:1688},
D{l:134,t:10,i:1755},
D{l:133,t:0,i:946},
D{l:136,t:0,i:434},
D{l:6,t:10,i:197},
D{l:136,t:10,i:205},
D{l:7,t:0,i:411},
D{l:7,t:0,i:590},
D{l:8,t:0,i:631},
D{l:9,t:0,i:323},
D{l:10,t:0,i:355},
D{l:11,t:0,i:491},
D{l:12,t:0,i:143},
D{l:12,t:0,i:402},
D{l:13,t:0,i:73},
D{l:14,t:0,i:408},
D{l:15,t:0,i:107},
D{l:146,t:0,i:71},
D{l:7,t:0,i:1467},
D{l:8,t:0,i:328},
D{l:10,t:0,i:544},
D{l:11,t:0,i:955},
D{l:12,t:0,i:13},
D{l:13,t:0,i:320},
D{l:145,t:0,i:83},
D{l:142,t:0,i:410},
D{l:11,t:0,i:511},
D{l:13,t:0,i:394},
D{l:14,t:0,i:298},
D{l:14,t:0,i:318},
D{l:146,t:0,i:103},
D{l:6,t:10,i:452},
D{l:7,t:10,i:312},
D{l:138,t:10,i:219},
D{l:138,t:10,i:589},
D{l:4,t:10,i:333},
D{l:9,t:10,i:176},
D{l:12,t:10,i:353},
D{l:141,t:10,i:187},
D{l:135,t:11,i:329},
D{l:132,t:11,i:469},
D{l:5,t:0,i:835},
D{l:134,t:0,i:483},
D{l:134,t:11,i:1743},
D{l:5,t:11,i:929},
D{l:6,t:11,i:340},
D{l:8,t:11,i:376},
D{l:136,t:11,i:807},
D{l:134,t:10,i:1685},
D{l:132,t:0,i:677},
D{l:5,t:11,i:218},
D{l:7,t:11,i:1610},
D{l:138,t:11,i:83},
D{l:5,t:11,i:571},
D{l:135,t:11,i:1842},
D{l:132,t:11,i:455},
D{l:137,t:0,i:70},
D{l:135,t:0,i:1405},
D{l:7,t:10,i:135},
D{l:8,t:10,i:7},
D{l:8,t:10,i:62},
D{l:9,t:10,i:243},
D{l:10,t:10,i:658},
D{l:10,t:10,i:697},
D{l:11,t:10,i:456},
D{l:139,t:10,i:756},
D{l:9,t:10,i:395},
D{l:138,t:10,i:79},
D{l:137,t:0,i:108},
D{l:6,t:11,i:161},
D{l:7,t:11,i:372},
D{l:137,t:11,i:597},
D{l:132,t:11,i:349},
D{l:132,t:0,i:777},
D{l:132,t:0,i:331},
D{l:135,t:10,i:631},
D{l:133,t:0,i:747},
D{l:6,t:11,i:432},
D{l:6,t:11,i:608},
D{l:139,t:11,i:322},
D{l:138,t:10,i:835},
D{l:5,t:11,i:468},
D{l:7,t:11,i:1809},
D{l:10,t:11,i:325},
D{l:11,t:11,i:856},
D{l:12,t:11,i:345},
D{l:143,t:11,i:104},
D{l:133,t:11,i:223},
D{l:7,t:10,i:406},
D{l:7,t:10,i:459},
D{l:8,t:10,i:606},
D{l:139,t:10,i:726},
D{l:132,t:11,i:566},
D{l:142,t:0,i:68},
D{l:4,t:11,i:59},
D{l:135,t:11,i:1394},
D{l:6,t:11,i:436},
D{l:139,t:11,i:481},
D{l:4,t:11,i:48},
D{l:5,t:11,i:271},
D{l:135,t:11,i:953},
D{l:139,t:11,i:170},
D{l:5,t:11,i:610},
D{l:136,t:11,i:457},
D{l:133,t:11,i:755},
D{l:135,t:11,i:1217},
D{l:133,t:10,i:612},
D{l:132,t:11,i:197},
D{l:132,t:0,i:505},
D{l:4,t:10,i:372},
D{l:7,t:10,i:482},
D{l:8,t:10,i:158},
D{l:9,t:10,i:602},
D{l:9,t:10,i:615},
D{l:10,t:10,i:245},
D{l:10,t:10,i:678},
D{l:10,t:10,i:744},
D{l:11,t:10,i:248},
D{l:139,t:10,i:806},
D{l:133,t:0,i:326},
D{l:5,t:10,i:854},
D{l:135,t:10,i:1991},
D{l:4,t:0,i:691},
D{l:146,t:0,i:16},
D{l:6,t:0,i:628},
D{l:9,t:0,i:35},
D{l:10,t:0,i:680},
D{l:10,t:0,i:793},
D{l:11,t:0,i:364},
D{l:13,t:0,i:357},
D{l:143,t:0,i:164},
D{l:138,t:0,i:654},
D{l:6,t:0,i:32},
D{l:7,t:0,i:385},
D{l:7,t:0,i:757},
D{l:7,t:0,i:1916},
D{l:8,t:0,i:37},
D{l:8,t:0,i:94},
D{l:8,t:0,i:711},
D{l:9,t:0,i:541},
D{l:10,t:0,i:162},
D{l:10,t:0,i:795},
D{l:11,t:0,i:989},
D{l:11,t:0,i:1010},
D{l:12,t:0,i:14},
D{l:142,t:0,i:308},
D{l:133,t:11,i:217},
D{l:6,t:0,i:152},
D{l:6,t:0,i:349},
D{l:6,t:0,i:1682},
D{l:7,t:0,i:1252},
D{l:8,t:0,i:112},
D{l:9,t:0,i:435},
D{l:9,t:0,i:668},
D{l:10,t:0,i:290},
D{l:10,t:0,i:319},
D{l:10,t:0,i:815},
D{l:11,t:0,i:180},
D{l:11,t:0,i:837},
D{l:12,t:0,i:240},
D{l:13,t:0,i:152},
D{l:13,t:0,i:219},
D{l:142,t:0,i:158},
D{l:4,t:0,i:581},
D{l:134,t:0,i:726},
D{l:5,t:10,i:195},
D{l:135,t:10,i:1685},
D{l:6,t:0,i:126},
D{l:7,t:0,i:573},
D{l:8,t:0,i:397},
D{l:142,t:0,i:44},
D{l:138,t:0,i:89},
D{l:7,t:10,i:1997},
D{l:8,t:10,i:730},
D{l:139,t:10,i:1006},
D{l:134,t:0,i:1531},
D{l:134,t:0,i:1167},
D{l:5,t:0,i:926},
D{l:12,t:0,i:203},
D{l:133,t:10,i:751},
D{l:4,t:11,i:165},
D{l:7,t:11,i:1398},
D{l:135,t:11,i:1829},
D{l:7,t:0,i:1232},
D{l:137,t:0,i:531},
D{l:135,t:10,i:821},
D{l:134,t:0,i:943},
D{l:133,t:0,i:670},
D{l:4,t:0,i:880},
D{l:139,t:0,i:231},
D{l:134,t:0,i:1617},
D{l:135,t:0,i:1957},
D{l:5,t:11,i:9},
D{l:7,t:11,i:297},
D{l:7,t:11,i:966},
D{l:140,t:11,i:306},
D{l:6,t:0,i:975},
D{l:134,t:0,i:985},
D{l:5,t:10,i:950},
D{l:5,t:10,i:994},
D{l:134,t:10,i:351},
D{l:12,t:11,i:21},
D{l:151,t:11,i:7},
D{l:5,t:11,i:146},
D{l:6,t:11,i:411},
D{l:138,t:11,i:721},
D{l:7,t:0,i:242},
D{l:135,t:0,i:1942},
D{l:6,t:11,i:177},
D{l:135,t:11,i:467},
D{l:5,t:0,i:421},
D{l:7,t:10,i:47},
D{l:137,t:10,i:684},
D{l:5,t:0,i:834},
D{l:7,t:0,i:1202},
D{l:8,t:0,i:14},
D{l:9,t:0,i:481},
D{l:137,t:0,i:880},
D{l:138,t:0,i:465},
D{l:6,t:0,i:688},
D{l:9,t:0,i:834},
D{l:132,t:10,i:350},
D{l:132,t:0,i:855},
D{l:4,t:0,i:357},
D{l:6,t:0,i:172},
D{l:7,t:0,i:143},
D{l:137,t:0,i:413},
D{l:133,t:11,i:200},
D{l:132,t:0,i:590},
D{l:7,t:10,i:1812},
D{l:13,t:10,i:259},
D{l:13,t:10,i:356},
D{l:14,t:10,i:242},
D{l:147,t:10,i:114},
D{l:133,t:10,i:967},
D{l:11,t:0,i:114},
D{l:4,t:10,i:473},
D{l:7,t:10,i:623},
D{l:8,t:10,i:808},
D{l:9,t:10,i:871},
D{l:9,t:10,i:893},
D{l:11,t:10,i:431},
D{l:12,t:10,i:112},
D{l:12,t:10,i:217},
D{l:12,t:10,i:243},
D{l:12,t:10,i:562},
D{l:12,t:10,i:663},
D{l:12,t:10,i:683},
D{l:13,t:10,i:141},
D{l:13,t:10,i:197},
D{l:13,t:10,i:227},
D{l:13,t:10,i:406},
D{l:13,t:10,i:487},
D{l:14,t:10,i:156},
D{l:14,t:10,i:203},
D{l:14,t:10,i:224},
D{l:14,t:10,i:256},
D{l:18,t:10,i:58},
D{l:150,t:10,i:0},
D{l:138,t:10,i:286},
D{l:4,t:10,i:222},
D{l:7,t:10,i:286},
D{l:136,t:10,i:629},
D{l:5,t:0,i:169},
D{l:7,t:0,i:333},
D{l:136,t:0,i:45},
D{l:134,t:11,i:481},
D{l:132,t:0,i:198},
D{l:4,t:0,i:24},
D{l:5,t:0,i:140},
D{l:5,t:0,i:185},
D{l:7,t:0,i:1500},
D{l:11,t:0,i:565},
D{l:11,t:0,i:838},
D{l:4,t:11,i:84},
D{l:7,t:11,i:1482},
D{l:10,t:11,i:76},
D{l:138,t:11,i:142},
D{l:133,t:0,i:585},
D{l:141,t:10,i:306},
D{l:133,t:11,i:1015},
D{l:4,t:11,i:315},
D{l:5,t:11,i:507},
D{l:135,t:11,i:1370},
D{l:136,t:10,i:146},
D{l:6,t:0,i:691},
D{l:134,t:0,i:1503},
D{l:4,t:0,i:334},
D{l:133,t:0,i:593},
D{l:4,t:10,i:465},
D{l:135,t:10,i:1663},
D{l:142,t:11,i:173},
D{l:135,t:0,i:913},
D{l:12,t:0,i:116},
D{l:134,t:11,i:1722},
D{l:134,t:0,i:1360},
D{l:132,t:0,i:802},
D{l:8,t:11,i:222},
D{l:8,t:11,i:476},
D{l:9,t:11,i:238},
D{l:11,t:11,i:516},
D{l:11,t:11,i:575},
D{l:15,t:11,i:109},
D{l:146,t:11,i:100},
D{l:6,t:0,i:308},
D{l:9,t:0,i:673},
D{l:7,t:10,i:138},
D{l:7,t:10,i:517},
D{l:139,t:10,i:238},
D{l:132,t:0,i:709},
D{l:6,t:0,i:1876},
D{l:6,t:0,i:1895},
D{l:9,t:0,i:994},
D{l:9,t:0,i:1006},
D{l:12,t:0,i:829},
D{l:12,t:0,i:888},
D{l:12,t:0,i:891},
D{l:146,t:0,i:185},
D{l:148,t:10,i:94},
D{l:4,t:0,i:228},
D{l:133,t:0,i:897},
D{l:7,t:0,i:1840},
D{l:5,t:10,i:495},
D{l:7,t:10,i:834},
D{l:9,t:10,i:733},
D{l:139,t:10,i:378},
D{l:133,t:10,i:559},
D{l:6,t:10,i:21},
D{l:6,t:10,i:1737},
D{l:7,t:10,i:1444},
D{l:136,t:10,i:224},
D{l:4,t:0,i:608},
D{l:133,t:0,i:497},
D{l:6,t:11,i:40},
D{l:135,t:11,i:1781},
D{l:134,t:0,i:1573},
D{l:135,t:0,i:2039},
D{l:6,t:0,i:540},
D{l:136,t:0,i:136},
D{l:4,t:0,i:897},
D{l:5,t:0,i:786},
D{l:133,t:10,i:519},
D{l:6,t:0,i:1878},
D{l:6,t:0,i:1884},
D{l:9,t:0,i:938},
D{l:9,t:0,i:948},
D{l:9,t:0,i:955},
D{l:9,t:0,i:973},
D{l:9,t:0,i:1012},
D{l:12,t:0,i:895},
D{l:12,t:0,i:927},
D{l:143,t:0,i:254},
D{l:134,t:0,i:1469},
D{l:133,t:0,i:999},
D{l:4,t:0,i:299},
D{l:135,t:0,i:1004},
D{l:4,t:0,i:745},
D{l:133,t:0,i:578},
D{l:136,t:11,i:574},
D{l:133,t:0,i:456},
D{l:134,t:0,i:1457},
D{l:7,t:0,i:1679},
D{l:132,t:10,i:402},
D{l:7,t:0,i:693},
D{l:8,t:0,i:180},
D{l:12,t:0,i:163},
D{l:8,t:10,i:323},
D{l:136,t:10,i:479},
D{l:11,t:10,i:580},
D{l:142,t:10,i:201},
D{l:5,t:10,i:59},
D{l:135,t:10,i:672},
D{l:132,t:11,i:354},
D{l:146,t:10,i:34},
D{l:4,t:0,i:755},
D{l:135,t:11,i:1558},
D{l:7,t:0,i:1740},
D{l:146,t:0,i:48},
D{l:4,t:10,i:85},
D{l:135,t:10,i:549},
D{l:139,t:0,i:338},
D{l:133,t:10,i:94},
D{l:134,t:0,i:1091},
D{l:135,t:11,i:469},
D{l:12,t:0,i:695},
D{l:12,t:0,i:704},
D{l:20,t:0,i:113},
D{l:5,t:11,i:830},
D{l:14,t:11,i:338},
D{l:148,t:11,i:81},
D{l:135,t:0,i:1464},
D{l:6,t:10,i:11},
D{l:135,t:10,i:187},
D{l:135,t:0,i:975},
D{l:13,t:0,i:335},
D{l:132,t:10,i:522},
D{l:134,t:0,i:1979},
D{l:5,t:11,i:496},
D{l:135,t:11,i:203},
D{l:4,t:10,i:52},
D{l:135,t:10,i:661},
D{l:7,t:0,i:1566},
D{l:8,t:0,i:269},
D{l:9,t:0,i:212},
D{l:9,t:0,i:718},
D{l:14,t:0,i:15},
D{l:14,t:0,i:132},
D{l:142,t:0,i:227},
D{l:4,t:0,i:890},
D{l:5,t:0,i:805},
D{l:5,t:0,i:819},
D{l:5,t:0,i:961},
D{l:6,t:0,i:396},
D{l:6,t:0,i:1631},
D{l:6,t:0,i:1678},
D{l:7,t:0,i:1967},
D{l:7,t:0,i:2041},
D{l:9,t:0,i:630},
D{l:11,t:0,i:8},
D{l:11,t:0,i:1019},
D{l:12,t:0,i:176},
D{l:13,t:0,i:225},
D{l:14,t:0,i:292},
D{l:21,t:0,i:24},
D{l:4,t:10,i:383},
D{l:133,t:10,i:520},
D{l:134,t:11,i:547},
D{l:135,t:11,i:1748},
D{l:5,t:11,i:88},
D{l:137,t:11,i:239},
D{l:146,t:11,i:128},
D{l:7,t:11,i:650},
D{l:135,t:11,i:1310},
D{l:4,t:10,i:281},
D{l:5,t:10,i:38},
D{l:7,t:10,i:194},
D{l:7,t:10,i:668},
D{l:7,t:10,i:1893},
D{l:137,t:10,i:397},
D{l:135,t:0,i:1815},
D{l:9,t:10,i:635},
D{l:139,t:10,i:559},
D{l:7,t:0,i:1505},
D{l:10,t:0,i:190},
D{l:10,t:0,i:634},
D{l:11,t:0,i:792},
D{l:12,t:0,i:358},
D{l:140,t:0,i:447},
D{l:5,t:0,i:0},
D{l:6,t:0,i:536},
D{l:7,t:0,i:604},
D{l:13,t:0,i:445},
D{l:145,t:0,i:126},
D{l:7,t:11,i:1076},
D{l:9,t:11,i:80},
D{l:11,t:11,i:78},
D{l:11,t:11,i:421},
D{l:11,t:11,i:534},
D{l:140,t:11,i:545},
D{l:8,t:0,i:966},
D{l:10,t:0,i:1023},
D{l:14,t:11,i:369},
D{l:146,t:11,i:72},
D{l:135,t:11,i:1641},
D{l:6,t:0,i:232},
D{l:6,t:0,i:412},
D{l:7,t:0,i:1074},
D{l:8,t:0,i:9},
D{l:8,t:0,i:157},
D{l:8,t:0,i:786},
D{l:9,t:0,i:196},
D{l:9,t:0,i:352},
D{l:9,t:0,i:457},
D{l:10,t:0,i:337},
D{l:11,t:0,i:232},
D{l:11,t:0,i:877},
D{l:12,t:0,i:480},
D{l:140,t:0,i:546},
D{l:135,t:0,i:958},
D{l:4,t:0,i:382},
D{l:136,t:0,i:579},
D{l:4,t:0,i:212},
D{l:135,t:0,i:1206},
D{l:4,t:11,i:497},
D{l:5,t:11,i:657},
D{l:135,t:11,i:1584},
D{l:132,t:0,i:681},
D{l:8,t:0,i:971},
D{l:138,t:0,i:965},
D{l:5,t:10,i:448},
D{l:136,t:10,i:535},
D{l:14,t:0,i:16},
D{l:146,t:0,i:44},
D{l:11,t:0,i:584},
D{l:11,t:0,i:616},
D{l:14,t:0,i:275},
D{l:11,t:11,i:584},
D{l:11,t:11,i:616},
D{l:142,t:11,i:275},
D{l:136,t:11,i:13},
D{l:7,t:10,i:610},
D{l:135,t:10,i:1501},
D{l:7,t:11,i:642},
D{l:8,t:11,i:250},
D{l:11,t:11,i:123},
D{l:11,t:11,i:137},
D{l:13,t:11,i:48},
D{l:142,t:11,i:95},
D{l:133,t:0,i:655},
D{l:17,t:0,i:67},
D{l:147,t:0,i:74},
D{l:134,t:0,i:751},
D{l:134,t:0,i:1967},
D{l:6,t:0,i:231},
D{l:136,t:0,i:423},
D{l:5,t:0,i:300},
D{l:138,t:0,i:1016},
D{l:4,t:10,i:319},
D{l:5,t:10,i:699},
D{l:138,t:10,i:673},
D{l:6,t:0,i:237},
D{l:7,t:0,i:611},
D{l:8,t:0,i:100},
D{l:9,t:0,i:416},
D{l:11,t:0,i:335},
D{l:12,t:0,i:173},
D{l:18,t:0,i:101},
D{l:6,t:10,i:336},
D{l:8,t:10,i:552},
D{l:9,t:10,i:285},
D{l:10,t:10,i:99},
D{l:139,t:10,i:568},
D{l:134,t:0,i:1370},
D{l:7,t:10,i:1406},
D{l:9,t:10,i:218},
D{l:141,t:10,i:222},
D{l:133,t:10,i:256},
D{l:135,t:0,i:1208},
D{l:14,t:11,i:213},
D{l:148,t:11,i:38},
D{l:6,t:0,i:1219},
D{l:135,t:11,i:1642},
D{l:13,t:0,i:417},
D{l:14,t:0,i:129},
D{l:143,t:0,i:15},
D{l:10,t:11,i:545},
D{l:140,t:11,i:301},
D{l:17,t:10,i:39},
D{l:148,t:10,i:36},
D{l:133,t:0,i:199},
D{l:4,t:11,i:904},
D{l:133,t:11,i:794},
D{l:12,t:0,i:427},
D{l:146,t:0,i:38},
D{l:134,t:0,i:949},
D{l:8,t:0,i:665},
D{l:135,t:10,i:634},
D{l:132,t:10,i:618},
D{l:135,t:10,i:259},
D{l:132,t:10,i:339},
D{l:133,t:11,i:761},
D{l:141,t:10,i:169},
D{l:132,t:10,i:759},
D{l:5,t:0,i:688},
D{l:7,t:0,i:539},
D{l:135,t:0,i:712},
D{l:7,t:11,i:386},
D{l:138,t:11,i:713},
D{l:134,t:0,i:1186},
D{l:6,t:11,i:7},
D{l:6,t:11,i:35},
D{l:7,t:11,i:147},
D{l:7,t:11,i:1069},
D{l:7,t:11,i:1568},
D{l:7,t:11,i:1575},
D{l:7,t:11,i:1917},
D{l:8,t:11,i:43},
D{l:8,t:11,i:208},
D{l:9,t:11,i:128},
D{l:9,t:11,i:866},
D{l:10,t:11,i:20},
D{l:11,t:11,i:981},
D{l:147,t:11,i:33},
D{l:7,t:11,i:893},
D{l:8,t:10,i:482},
D{l:141,t:11,i:424},
D{l:6,t:0,i:312},
D{l:6,t:0,i:1715},
D{l:10,t:0,i:584},
D{l:11,t:0,i:546},
D{l:11,t:0,i:692},
D{l:12,t:0,i:259},
D{l:12,t:0,i:295},
D{l:13,t:0,i:46},
D{l:141,t:0,i:154},
D{l:5,t:10,i:336},
D{l:6,t:10,i:341},
D{l:6,t:10,i:478},
D{l:6,t:10,i:1763},
D{l:136,t:10,i:386},
D{l:137,t:0,i:151},
D{l:132,t:0,i:588},
D{l:152,t:0,i:4},
D{l:6,t:11,i:322},
D{l:9,t:11,i:552},
D{l:11,t:11,i:274},
D{l:13,t:11,i:209},
D{l:13,t:11,i:499},
D{l:14,t:11,i:85},
D{l:15,t:11,i:126},
D{l:145,t:11,i:70},
D{l:135,t:10,i:73},
D{l:4,t:0,i:231},
D{l:5,t:0,i:61},
D{l:6,t:0,i:104},
D{l:7,t:0,i:729},
D{l:7,t:0,i:964},
D{l:7,t:0,i:1658},
D{l:140,t:0,i:414},
D{l:6,t:0,i:263},
D{l:138,t:0,i:757},
D{l:135,t:10,i:1971},
D{l:4,t:0,i:612},
D{l:133,t:0,i:561},
D{l:132,t:0,i:320},
D{l:135,t:10,i:1344},
D{l:8,t:11,i:83},
D{l:8,t:11,i:817},
D{l:9,t:11,i:28},
D{l:9,t:11,i:29},
D{l:9,t:11,i:885},
D{l:10,t:11,i:387},
D{l:11,t:11,i:633},
D{l:11,t:11,i:740},
D{l:13,t:11,i:235},
D{l:13,t:11,i:254},
D{l:15,t:11,i:143},
D{l:143,t:11,i:146},
D{l:5,t:10,i:396},
D{l:134,t:10,i:501},
D{l:140,t:11,i:49},
D{l:132,t:0,i:225},
D{l:4,t:10,i:929},
D{l:5,t:10,i:799},
D{l:8,t:10,i:46},
D{l:136,t:10,i:740},
D{l:4,t:0,i:405},
D{l:7,t:0,i:817},
D{l:14,t:0,i:58},
D{l:17,t:0,i:37},
D{l:146,t:0,i:124},
D{l:133,t:0,i:974},
D{l:4,t:11,i:412},
D{l:133,t:11,i:581},
D{l:4,t:10,i:892},
D{l:133,t:10,i:770},
D{l:4,t:0,i:996},
D{l:134,t:0,i:2026},
D{l:4,t:0,i:527},
D{l:5,t:0,i:235},
D{l:7,t:0,i:1239},
D{l:11,t:0,i:131},
D{l:140,t:0,i:370},
D{l:9,t:0,i:16},
D{l:13,t:0,i:386},
D{l:135,t:11,i:421},
D{l:7,t:0,i:956},
D{l:7,t:0,i:1157},
D{l:7,t:0,i:1506},
D{l:7,t:0,i:1606},
D{l:7,t:0,i:1615},
D{l:7,t:0,i:1619},
D{l:7,t:0,i:1736},
D{l:7,t:0,i:1775},
D{l:8,t:0,i:590},
D{l:9,t:0,i:324},
D{l:9,t:0,i:736},
D{l:9,t:0,i:774},
D{l:9,t:0,i:776},
D{l:9,t:0,i:784},
D{l:10,t:0,i:567},
D{l:10,t:0,i:708},
D{l:11,t:0,i:518},
D{l:11,t:0,i:613},
D{l:11,t:0,i:695},
D{l:11,t:0,i:716},
D{l:11,t:0,i:739},
D{l:11,t:0,i:770},
D{l:11,t:0,i:771},
D{l:11,t:0,i:848},
D{l:11,t:0,i:857},
D{l:11,t:0,i:931},
D{l:11,t:0,i:947},
D{l:12,t:0,i:326},
D{l:12,t:0,i:387},
D{l:12,t:0,i:484},
D{l:12,t:0,i:528},
D{l:12,t:0,i:552},
D{l:12,t:0,i:613},
D{l:13,t:0,i:189},
D{l:13,t:0,i:256},
D{l:13,t:0,i:340},
D{l:13,t:0,i:432},
D{l:13,t:0,i:436},
D{l:13,t:0,i:440},
D{l:13,t:0,i:454},
D{l:14,t:0,i:174},
D{l:14,t:0,i:220},
D{l:14,t:0,i:284},
D{l:14,t:0,i:390},
D{l:145,t:0,i:121},
D{l:135,t:10,i:158},
D{l:9,t:0,i:137},
D{l:138,t:0,i:221},
D{l:4,t:11,i:110},
D{l:10,t:11,i:415},
D{l:10,t:11,i:597},
D{l:142,t:11,i:206},
D{l:141,t:11,i:496},
D{l:135,t:11,i:205},
D{l:151,t:10,i:25},
D{l:135,t:11,i:778},
D{l:7,t:11,i:1656},
D{l:7,t:10,i:2001},
D{l:9,t:11,i:369},
D{l:10,t:11,i:338},
D{l:10,t:11,i:490},
D{l:11,t:11,i:154},
D{l:11,t:11,i:545},
D{l:11,t:11,i:775},
D{l:13,t:11,i:77},
D{l:141,t:11,i:274},
D{l:4,t:11,i:444},
D{l:10,t:11,i:146},
D{l:140,t:11,i:9},
D{l:7,t:0,i:390},
D{l:138,t:0,i:140},
D{l:135,t:0,i:1144},
D{l:134,t:0,i:464},
D{l:7,t:10,i:1461},
D{l:140,t:10,i:91},
D{l:132,t:10,i:602},
D{l:4,t:11,i:283},
D{l:135,t:11,i:1194},
D{l:5,t:0,i:407},
D{l:11,t:0,i:204},
D{l:11,t:0,i:243},
D{l:11,t:0,i:489},
D{l:12,t:0,i:293},
D{l:19,t:0,i:37},
D{l:20,t:0,i:73},
D{l:150,t:0,i:38},
D{l:7,t:0,i:1218},
D{l:136,t:0,i:303},
D{l:5,t:0,i:325},
D{l:8,t:0,i:5},
D{l:8,t:0,i:227},
D{l:9,t:0,i:105},
D{l:10,t:0,i:585},
D{l:12,t:0,i:614},
D{l:4,t:10,i:13},
D{l:5,t:10,i:567},
D{l:7,t:10,i:1498},
D{l:9,t:10,i:124},
D{l:11,t:10,i:521},
D{l:140,t:10,i:405},
D{l:135,t:10,i:1006},
D{l:7,t:0,i:800},
D{l:10,t:0,i:12},
D{l:134,t:11,i:1720},
D{l:135,t:0,i:1783},
D{l:132,t:10,i:735},
D{l:138,t:10,i:812},
D{l:4,t:10,i:170},
D{l:135,t:10,i:323},
D{l:6,t:0,i:621},
D{l:13,t:0,i:504},
D{l:144,t:0,i:89},
D{l:5,t:10,i:304},
D{l:135,t:10,i:1403},
D{l:137,t:11,i:216},
D{l:6,t:0,i:920},
D{l:6,t:0,i:1104},
D{l:9,t:11,i:183},
D{l:139,t:11,i:286},
D{l:4,t:0,i:376},
D{l:133,t:10,i:742},
D{l:134,t:0,i:218},
D{l:8,t:0,i:641},
D{l:11,t:0,i:388},
D{l:140,t:0,i:580},
D{l:7,t:0,i:454},
D{l:7,t:0,i:782},
D{l:8,t:0,i:768},
D{l:140,t:0,i:686},
D{l:137,t:11,i:33},
D{l:133,t:10,i:111},
D{l:144,t:0,i:0},
D{l:10,t:0,i:676},
D{l:140,t:0,i:462},
D{l:6,t:0,i:164},
D{l:136,t:11,i:735},
D{l:133,t:10,i:444},
D{l:150,t:0,i:50},
D{l:7,t:11,i:1862},
D{l:12,t:11,i:491},
D{l:12,t:11,i:520},
D{l:13,t:11,i:383},
D{l:14,t:11,i:244},
D{l:146,t:11,i:12},
D{l:5,t:11,i:132},
D{l:9,t:11,i:486},
D{l:9,t:11,i:715},
D{l:10,t:11,i:458},
D{l:11,t:11,i:373},
D{l:11,t:11,i:668},
D{l:11,t:11,i:795},
D{l:11,t:11,i:897},
D{l:12,t:11,i:272},
D{l:12,t:11,i:424},
D{l:12,t:11,i:539},
D{l:12,t:11,i:558},
D{l:14,t:11,i:245},
D{l:14,t:11,i:263},
D{l:14,t:11,i:264},
D{l:14,t:11,i:393},
D{l:142,t:11,i:403},
D{l:8,t:10,i:123},
D{l:15,t:10,i:6},
D{l:144,t:10,i:7},
D{l:6,t:0,i:285},
D{l:8,t:0,i:654},
D{l:11,t:0,i:749},
D{l:12,t:0,i:190},
D{l:12,t:0,i:327},
D{l:13,t:0,i:120},
D{l:13,t:0,i:121},
D{l:13,t:0,i:327},
D{l:15,t:0,i:47},
D{l:146,t:0,i:40},
D{l:5,t:11,i:8},
D{l:6,t:11,i:89},
D{l:6,t:11,i:400},
D{l:7,t:11,i:1569},
D{l:7,t:11,i:1623},
D{l:7,t:11,i:1850},
D{l:8,t:11,i:218},
D{l:8,t:11,i:422},
D{l:9,t:11,i:570},
D{l:138,t:11,i:626},
D{l:6,t:11,i:387},
D{l:7,t:11,i:882},
D{l:141,t:11,i:111},
D{l:6,t:0,i:343},
D{l:7,t:0,i:195},
D{l:9,t:0,i:226},
D{l:10,t:0,i:197},
D{l:10,t:0,i:575},
D{l:11,t:0,i:502},
D{l:11,t:0,i:899},
D{l:6,t:11,i:224},
D{l:7,t:11,i:877},
D{l:137,t:11,i:647},
D{l:5,t:10,i:937},
D{l:135,t:10,i:100},
D{l:135,t:11,i:790},
D{l:150,t:0,i:29},
D{l:147,t:0,i:8},
D{l:134,t:0,i:1812},
D{l:149,t:0,i:8},
D{l:135,t:11,i:394},
D{l:7,t:0,i:1125},
D{l:9,t:0,i:143},
D{l:11,t:0,i:61},
D{l:14,t:0,i:405},
D{l:150,t:0,i:21},
D{l:10,t:11,i:755},
D{l:147,t:11,i:29},
D{l:9,t:11,i:378},
D{l:141,t:11,i:162},
D{l:135,t:10,i:922},
D{l:5,t:10,i:619},
D{l:133,t:10,i:698},
D{l:134,t:0,i:1327},
D{l:6,t:0,i:1598},
D{l:137,t:0,i:575},
D{l:9,t:11,i:569},
D{l:12,t:11,i:12},
D{l:12,t:11,i:81},
D{l:12,t:11,i:319},
D{l:13,t:11,i:69},
D{l:14,t:11,i:259},
D{l:16,t:11,i:87},
D{l:17,t:11,i:1},
D{l:17,t:11,i:21},
D{l:17,t:11,i:24},
D{l:18,t:11,i:15},
D{l:18,t:11,i:56},
D{l:18,t:11,i:59},
D{l:18,t:11,i:127},
D{l:18,t:11,i:154},
D{l:19,t:11,i:19},
D{l:148,t:11,i:31},
D{l:6,t:0,i:895},
D{l:135,t:11,i:1231},
D{l:5,t:0,i:959},
D{l:7,t:11,i:124},
D{l:136,t:11,i:38},
D{l:5,t:11,i:261},
D{l:7,t:11,i:78},
D{l:7,t:11,i:199},
D{l:8,t:11,i:815},
D{l:9,t:11,i:126},
D{l:138,t:11,i:342},
D{l:5,t:10,i:917},
D{l:134,t:10,i:1659},
D{l:7,t:0,i:1759},
D{l:5,t:11,i:595},
D{l:135,t:11,i:1863},
D{l:136,t:0,i:173},
D{l:134,t:0,i:266},
D{l:142,t:0,i:261},
D{l:132,t:11,i:628},
D{l:5,t:10,i:251},
D{l:5,t:10,i:956},
D{l:8,t:10,i:268},
D{l:9,t:10,i:214},
D{l:146,t:10,i:142},
D{l:7,t:11,i:266},
D{l:136,t:11,i:804},
D{l:135,t:11,i:208},
D{l:6,t:11,i:79},
D{l:7,t:11,i:1021},
D{l:135,t:11,i:1519},
D{l:11,t:11,i:704},
D{l:141,t:11,i:396},
D{l:5,t:10,i:346},
D{l:5,t:10,i:711},
D{l:136,t:10,i:390},
D{l:136,t:11,i:741},
D{l:134,t:11,i:376},
D{l:134,t:0,i:1427},
D{l:6,t:0,i:1033},
D{l:6,t:0,i:1217},
D{l:136,t:0,i:300},
D{l:133,t:10,i:624},
D{l:6,t:11,i:100},
D{l:7,t:11,i:244},
D{l:7,t:11,i:632},
D{l:7,t:11,i:1609},
D{l:8,t:11,i:178},
D{l:8,t:11,i:638},
D{l:141,t:11,i:58},
D{l:6,t:0,i:584},
D{l:5,t:10,i:783},
D{l:7,t:10,i:1998},
D{l:135,t:10,i:2047},
D{l:5,t:0,i:427},
D{l:5,t:0,i:734},
D{l:7,t:0,i:478},
D{l:136,t:0,i:52},
D{l:7,t:0,i:239},
D{l:11,t:0,i:217},
D{l:142,t:0,i:165},
D{l:134,t:0,i:1129},
D{l:6,t:0,i:168},
D{l:6,t:0,i:1734},
D{l:7,t:0,i:20},
D{l:7,t:0,i:1056},
D{l:8,t:0,i:732},
D{l:9,t:0,i:406},
D{l:9,t:0,i:911},
D{l:138,t:0,i:694},
D{l:132,t:10,i:594},
D{l:133,t:11,i:791},
D{l:7,t:11,i:686},
D{l:8,t:11,i:33},
D{l:8,t:11,i:238},
D{l:10,t:11,i:616},
D{l:11,t:11,i:467},
D{l:11,t:11,i:881},
D{l:13,t:11,i:217},
D{l:13,t:11,i:253},
D{l:142,t:11,i:268},
D{l:137,t:11,i:476},
D{l:134,t:0,i:418},
D{l:133,t:0,i:613},
D{l:132,t:0,i:632},
D{l:132,t:11,i:447},
D{l:7,t:0,i:32},
D{l:7,t:0,i:984},
D{l:8,t:0,i:85},
D{l:8,t:0,i:709},
D{l:9,t:0,i:579},
D{l:9,t:0,i:847},
D{l:9,t:0,i:856},
D{l:10,t:0,i:799},
D{l:11,t:0,i:258},
D{l:11,t:0,i:1007},
D{l:12,t:0,i:331},
D{l:12,t:0,i:615},
D{l:13,t:0,i:188},
D{l:13,t:0,i:435},
D{l:14,t:0,i:8},
D{l:15,t:0,i:165},
D{l:16,t:0,i:27},
D{l:20,t:0,i:40},
D{l:144,t:11,i:35},
D{l:4,t:11,i:128},
D{l:5,t:11,i:415},
D{l:6,t:11,i:462},
D{l:7,t:11,i:294},
D{l:7,t:11,i:578},
D{l:10,t:11,i:710},
D{l:139,t:11,i:86},
D{l:5,t:0,i:694},
D{l:136,t:0,i:909},
D{l:7,t:0,i:1109},
D{l:11,t:0,i:7},
D{l:5,t:10,i:37},
D{l:6,t:10,i:39},
D{l:6,t:10,i:451},
D{l:7,t:10,i:218},
D{l:7,t:10,i:1166},
D{l:7,t:10,i:1687},
D{l:8,t:10,i:662},
D{l:144,t:10,i:2},
D{l:136,t:11,i:587},
D{l:6,t:11,i:427},
D{l:7,t:11,i:1018},
D{l:138,t:11,i:692},
D{l:4,t:11,i:195},
D{l:6,t:10,i:508},
D{l:135,t:11,i:802},
D{l:4,t:0,i:167},
D{l:135,t:0,i:82},
D{l:5,t:0,i:62},
D{l:6,t:0,i:24},
D{l:6,t:0,i:534},
D{l:7,t:0,i:74},
D{l:7,t:0,i:678},
D{l:7,t:0,i:684},
D{l:7,t:0,i:1043},
D{l:7,t:0,i:1072},
D{l:8,t:0,i:280},
D{l:8,t:0,i:541},
D{l:8,t:0,i:686},
D{l:9,t:0,i:258},
D{l:10,t:0,i:519},
D{l:11,t:0,i:252},
D{l:140,t:0,i:282},
D{l:138,t:0,i:33},
D{l:4,t:0,i:359},
D{l:133,t:11,i:738},
D{l:7,t:0,i:980},
D{l:9,t:0,i:328},
D{l:13,t:0,i:186},
D{l:13,t:0,i:364},
D{l:7,t:10,i:635},
D{l:7,t:10,i:796},
D{l:8,t:10,i:331},
D{l:9,t:10,i:330},
D{l:9,t:10,i:865},
D{l:10,t:10,i:119},
D{l:10,t:10,i:235},
D{l:11,t:10,i:111},
D{l:11,t:10,i:129},
D{l:11,t:10,i:240},
D{l:12,t:10,i:31},
D{l:12,t:10,i:66},
D{l:12,t:10,i:222},
D{l:12,t:10,i:269},
D{l:12,t:10,i:599},
D{l:12,t:10,i:684},
D{l:12,t:10,i:689},
D{l:12,t:10,i:691},
D{l:142,t:10,i:345},
D{l:137,t:10,i:527},
D{l:6,t:0,i:596},
D{l:7,t:0,i:585},
D{l:135,t:10,i:702},
D{l:134,t:11,i:1683},
D{l:133,t:0,i:211},
D{l:6,t:0,i:145},
D{l:141,t:0,i:336},
D{l:134,t:0,i:1130},
D{l:7,t:0,i:873},
D{l:6,t:10,i:37},
D{l:7,t:10,i:1666},
D{l:8,t:10,i:195},
D{l:8,t:10,i:316},
D{l:9,t:10,i:178},
D{l:9,t:10,i:276},
D{l:9,t:10,i:339},
D{l:9,t:10,i:536},
D{l:10,t:10,i:102},
D{l:10,t:10,i:362},
D{l:10,t:10,i:785},
D{l:11,t:10,i:55},
D{l:11,t:10,i:149},
D{l:11,t:10,i:773},
D{l:13,t:10,i:416},
D{l:13,t:10,i:419},
D{l:14,t:10,i:38},
D{l:14,t:10,i:41},
D{l:142,t:10,i:210},
D{l:8,t:0,i:840},
D{l:136,t:0,i:841},
D{l:132,t:0,i:263},
D{l:5,t:11,i:3},
D{l:8,t:11,i:578},
D{l:9,t:11,i:118},
D{l:10,t:11,i:705},
D{l:12,t:11,i:383},
D{l:141,t:11,i:279},
D{l:132,t:0,i:916},
D{l:133,t:11,i:229},
D{l:133,t:10,i:645},
D{l:15,t:0,i:155},
D{l:16,t:0,i:79},
D{l:8,t:11,i:102},
D{l:10,t:11,i:578},
D{l:10,t:11,i:672},
D{l:12,t:11,i:496},
D{l:13,t:11,i:408},
D{l:14,t:11,i:121},
D{l:145,t:11,i:106},
D{l:4,t:0,i:599},
D{l:5,t:0,i:592},
D{l:6,t:0,i:1634},
D{l:7,t:0,i:5},
D{l:7,t:0,i:55},
D{l:7,t:0,i:67},
D{l:7,t:0,i:97},
D{l:7,t:0,i:691},
D{l:7,t:0,i:979},
D{l:7,t:0,i:1600},
D{l:7,t:0,i:1697},
D{l:8,t:0,i:207},
D{l:8,t:0,i:214},
D{l:8,t:0,i:231},
D{l:8,t:0,i:294},
D{l:8,t:0,i:336},
D{l:8,t:0,i:428},
D{l:8,t:0,i:471},
D{l:8,t:0,i:622},
D{l:8,t:0,i:626},
D{l:8,t:0,i:679},
D{l:8,t:0,i:759},
D{l:8,t:0,i:829},
D{l:9,t:0,i:11},
D{l:9,t:0,i:246},
D{l:9,t:0,i:484},
D{l:9,t:0,i:573},
D{l:9,t:0,i:706},
D{l:9,t:0,i:762},
D{l:9,t:0,i:798},
D{l:9,t:0,i:855},
D{l:9,t:0,i:870},
D{l:9,t:0,i:912},
D{l:10,t:0,i:303},
D{l:10,t:0,i:335},
D{l:10,t:0,i:424},
D{l:10,t:0,i:461},
D{l:10,t:0,i:543},
D{l:10,t:0,i:759},
D{l:10,t:0,i:814},
D{l:11,t:0,i:59},
D{l:11,t:0,i:199},
D{l:11,t:0,i:235},
D{l:11,t:0,i:590},
D{l:11,t:0,i:631},
D{l:11,t:0,i:929},
D{l:11,t:0,i:963},
D{l:11,t:0,i:987},
D{l:12,t:0,i:114},
D{l:12,t:0,i:182},
D{l:12,t:0,i:226},
D{l:12,t:0,i:332},
D{l:12,t:0,i:439},
D{l:12,t:0,i:575},
D{l:12,t:0,i:598},
D{l:12,t:0,i:675},
D{l:13,t:0,i:8},
D{l:13,t:0,i:125},
D{l:13,t:0,i:194},
D{l:13,t:0,i:287},
D{l:14,t:0,i:197},
D{l:14,t:0,i:383},
D{l:15,t:0,i:53},
D{l:17,t:0,i:63},
D{l:19,t:0,i:46},
D{l:19,t:0,i:98},
D{l:19,t:0,i:106},
D{l:148,t:0,i:85},
D{l:7,t:0,i:1356},
D{l:132,t:10,i:290},
D{l:6,t:10,i:70},
D{l:7,t:10,i:1292},
D{l:10,t:10,i:762},
D{l:139,t:10,i:288},
D{l:150,t:11,i:55},
D{l:4,t:0,i:593},
D{l:8,t:11,i:115},
D{l:8,t:11,i:350},
D{l:9,t:11,i:489},
D{l:10,t:11,i:128},
D{l:11,t:11,i:306},
D{l:12,t:11,i:373},
D{l:14,t:11,i:30},
D{l:17,t:11,i:79},
D{l:147,t:11,i:80},
D{l:135,t:11,i:1235},
D{l:134,t:0,i:1392},
D{l:4,t:11,i:230},
D{l:133,t:11,i:702},
D{l:147,t:0,i:126},
D{l:7,t:10,i:131},
D{l:7,t:10,i:422},
D{l:8,t:10,i:210},
D{l:140,t:10,i:573},
D{l:134,t:0,i:1179},
D{l:139,t:11,i:435},
D{l:139,t:10,i:797},
D{l:134,t:11,i:1728},
D{l:4,t:0,i:162},
D{l:18,t:11,i:26},
D{l:19,t:11,i:42},
D{l:20,t:11,i:43},
D{l:21,t:11,i:0},
D{l:23,t:11,i:27},
D{l:152,t:11,i:14},
D{l:132,t:10,i:936},
D{l:6,t:0,i:765},
D{l:5,t:10,i:453},
D{l:134,t:10,i:441},
D{l:133,t:0,i:187},
D{l:135,t:0,i:1286},
D{l:6,t:0,i:635},
D{l:6,t:0,i:904},
D{l:6,t:0,i:1210},
D{l:134,t:0,i:1489},
D{l:4,t:0,i:215},
D{l:8,t:0,i:890},
D{l:9,t:0,i:38},
D{l:10,t:0,i:923},
D{l:11,t:0,i:23},
D{l:11,t:0,i:127},
D{l:139,t:0,i:796},
D{l:6,t:0,i:1165},
D{l:134,t:0,i:1306},
D{l:7,t:0,i:716},
D{l:13,t:0,i:97},
D{l:141,t:0,i:251},
D{l:132,t:10,i:653},
D{l:136,t:0,i:657},
D{l:146,t:10,i:80},
D{l:5,t:11,i:622},
D{l:7,t:11,i:1032},
D{l:11,t:11,i:26},
D{l:11,t:11,i:213},
D{l:11,t:11,i:707},
D{l:12,t:11,i:380},
D{l:13,t:11,i:226},
D{l:141,t:11,i:355},
D{l:6,t:0,i:299},
D{l:5,t:11,i:70},
D{l:6,t:11,i:334},
D{l:9,t:11,i:171},
D{l:11,t:11,i:637},
D{l:12,t:11,i:202},
D{l:14,t:11,i:222},
D{l:145,t:11,i:42},
D{l:142,t:0,i:134},
D{l:4,t:11,i:23},
D{l:5,t:11,i:313},
D{l:5,t:11,i:1014},
D{l:6,t:11,i:50},
D{l:6,t:11,i:51},
D{l:7,t:11,i:142},
D{l:7,t:11,i:384},
D{l:9,t:11,i:783},
D{l:139,t:11,i:741},
D{l:4,t:11,i:141},
D{l:7,t:11,i:559},
D{l:8,t:11,i:640},
D{l:9,t:11,i:460},
D{l:12,t:11,i:183},
D{l:141,t:11,i:488},
D{l:136,t:11,i:614},
D{l:7,t:10,i:1368},
D{l:8,t:10,i:232},
D{l:8,t:10,i:361},
D{l:10,t:10,i:682},
D{l:138,t:10,i:742},
D{l:137,t:10,i:534},
D{l:6,t:0,i:1082},
D{l:140,t:0,i:658},
D{l:137,t:10,i:27},
D{l:135,t:0,i:2002},
D{l:142,t:10,i:12},
D{l:4,t:0,i:28},
D{l:5,t:0,i:440},
D{l:7,t:0,i:248},
D{l:11,t:0,i:833},
D{l:140,t:0,i:344},
D{l:7,t:10,i:736},
D{l:139,t:10,i:264},
D{l:134,t:10,i:1657},
D{l:134,t:0,i:1654},
D{l:138,t:0,i:531},
D{l:5,t:11,i:222},
D{l:9,t:11,i:140},
D{l:138,t:11,i:534},
D{l:6,t:0,i:634},
D{l:6,t:0,i:798},
D{l:134,t:0,i:840},
D{l:138,t:11,i:503},
D{l:135,t:10,i:127},
D{l:133,t:0,i:853},
D{l:5,t:11,i:154},
D{l:7,t:11,i:1491},
D{l:10,t:11,i:379},
D{l:138,t:11,i:485},
D{l:6,t:0,i:249},
D{l:7,t:0,i:1234},
D{l:139,t:0,i:573},
D{l:133,t:11,i:716},
D{l:7,t:11,i:1570},
D{l:140,t:11,i:542},
D{l:136,t:10,i:364},
D{l:138,t:0,i:527},
D{l:4,t:11,i:91},
D{l:5,t:11,i:388},
D{l:5,t:11,i:845},
D{l:6,t:11,i:206},
D{l:6,t:11,i:252},
D{l:6,t:11,i:365},
D{l:7,t:11,i:136},
D{l:7,t:11,i:531},
D{l:8,t:11,i:264},
D{l:136,t:11,i:621},
D{l:134,t:0,i:1419},
D{l:135,t:11,i:1441},
D{l:7,t:0,i:49},
D{l:7,t:0,i:392},
D{l:8,t:0,i:20},
D{l:8,t:0,i:172},
D{l:8,t:0,i:690},
D{l:9,t:0,i:383},
D{l:9,t:0,i:845},
D{l:10,t:0,i:48},
D{l:11,t:0,i:293},
D{l:11,t:0,i:832},
D{l:11,t:0,i:920},
D{l:11,t:0,i:984},
D{l:141,t:0,i:221},
D{l:5,t:0,i:858},
D{l:133,t:0,i:992},
D{l:5,t:0,i:728},
D{l:137,t:10,i:792},
D{l:5,t:10,i:909},
D{l:9,t:10,i:849},
D{l:138,t:10,i:805},
D{l:7,t:0,i:525},
D{l:7,t:0,i:1579},
D{l:8,t:0,i:497},
D{l:136,t:0,i:573},
D{l:6,t:0,i:268},
D{l:137,t:0,i:62},
D{l:135,t:11,i:576},
D{l:134,t:0,i:1201},
D{l:5,t:11,i:771},
D{l:5,t:11,i:863},
D{l:5,t:11,i:898},
D{l:6,t:11,i:1632},
D{l:6,t:11,i:1644},
D{l:134,t:11,i:1780},
D{l:133,t:11,i:331},
D{l:7,t:0,i:193},
D{l:7,t:0,i:1105},
D{l:10,t:0,i:495},
D{l:7,t:10,i:397},
D{l:8,t:10,i:124},
D{l:8,t:10,i:619},
D{l:9,t:10,i:305},
D{l:11,t:10,i:40},
D{l:12,t:10,i:349},
D{l:13,t:10,i:134},
D{l:13,t:10,i:295},
D{l:14,t:10,i:155},
D{l:15,t:10,i:120},
D{l:146,t:10,i:105},
D{l:138,t:0,i:106},
D{l:6,t:0,i:859},
D{l:5,t:11,i:107},
D{l:7,t:11,i:201},
D{l:136,t:11,i:518},
D{l:6,t:11,i:446},
D{l:135,t:11,i:1817},
D{l:13,t:0,i:23},
D{l:4,t:10,i:262},
D{l:135,t:10,i:342},
D{l:133,t:10,i:641},
D{l:137,t:11,i:851},
D{l:6,t:0,i:925},
D{l:137,t:0,i:813},
D{l:132,t:11,i:504},
D{l:6,t:0,i:613},
D{l:136,t:0,i:223},
D{l:4,t:10,i:99},
D{l:6,t:10,i:250},
D{l:6,t:10,i:346},
D{l:8,t:10,i:127},
D{l:138,t:10,i:81},
D{l:136,t:0,i:953},
D{l:132,t:10,i:915},
D{l:139,t:11,i:892},
D{l:5,t:10,i:75},
D{l:9,t:10,i:517},
D{l:10,t:10,i:470},
D{l:12,t:10,i:155},
D{l:141,t:10,i:224},
D{l:4,t:0,i:666},
D{l:7,t:0,i:1017},
D{l:7,t:11,i:996},
D{l:138,t:11,i:390},
D{l:5,t:11,i:883},
D{l:133,t:11,i:975},
D{l:14,t:10,i:83},
D{l:142,t:11,i:83},
D{l:4,t:0,i:670},
D{l:5,t:11,i:922},
D{l:134,t:11,i:1707},
D{l:135,t:0,i:216},
D{l:9,t:0,i:40},
D{l:11,t:0,i:136},
D{l:135,t:11,i:787},
D{l:5,t:10,i:954},
D{l:5,t:11,i:993},
D{l:7,t:11,i:515},
D{l:137,t:11,i:91},
D{l:139,t:0,i:259},
D{l:7,t:0,i:1114},
D{l:9,t:0,i:310},
D{l:9,t:0,i:682},
D{l:10,t:0,i:440},
D{l:13,t:0,i:40},
D{l:6,t:10,i:304},
D{l:8,t:10,i:418},
D{l:11,t:10,i:341},
D{l:139,t:10,i:675},
D{l:14,t:0,i:296},
D{l:9,t:10,i:410},
D{l:139,t:10,i:425},
D{l:10,t:11,i:377},
D{l:12,t:11,i:363},
D{l:13,t:11,i:68},
D{l:13,t:11,i:94},
D{l:14,t:11,i:108},
D{l:142,t:11,i:306},
D{l:7,t:0,i:1401},
D{l:135,t:0,i:1476},
D{l:4,t:0,i:296},
D{l:6,t:0,i:475},
D{l:7,t:0,i:401},
D{l:7,t:0,i:1410},
D{l:7,t:0,i:1594},
D{l:7,t:0,i:1674},
D{l:8,t:0,i:63},
D{l:8,t:0,i:660},
D{l:137,t:0,i:74},
D{l:4,t:0,i:139},
D{l:4,t:0,i:388},
D{l:140,t:0,i:188},
D{l:132,t:0,i:797},
D{l:132,t:11,i:766},
D{l:5,t:11,i:103},
D{l:7,t:11,i:921},
D{l:8,t:11,i:580},
D{l:8,t:11,i:593},
D{l:8,t:11,i:630},
D{l:138,t:11,i:28},
D{l:4,t:11,i:911},
D{l:5,t:11,i:867},
D{l:133,t:11,i:1013},
D{l:134,t:10,i:14},
D{l:134,t:0,i:1572},
D{l:134,t:10,i:1708},
D{l:21,t:0,i:39},
D{l:5,t:10,i:113},
D{l:6,t:10,i:243},
D{l:7,t:10,i:1865},
D{l:11,t:10,i:161},
D{l:16,t:10,i:37},
D{l:145,t:10,i:99},
D{l:7,t:11,i:1563},
D{l:141,t:11,i:182},
D{l:5,t:11,i:135},
D{l:6,t:11,i:519},
D{l:7,t:11,i:1722},
D{l:10,t:11,i:271},
D{l:11,t:11,i:261},
D{l:145,t:11,i:54},
D{l:132,t:10,i:274},
D{l:134,t:0,i:1594},
D{l:4,t:11,i:300},
D{l:5,t:11,i:436},
D{l:135,t:11,i:484},
D{l:4,t:0,i:747},
D{l:6,t:0,i:290},
D{l:7,t:0,i:649},
D{l:7,t:0,i:1479},
D{l:135,t:0,i:1583},
D{l:133,t:11,i:535},
D{l:147,t:11,i:82},
D{l:133,t:0,i:232},
D{l:137,t:0,i:887},
D{l:135,t:10,i:166},
D{l:136,t:0,i:521},
D{l:4,t:0,i:14},
D{l:7,t:0,i:472},
D{l:7,t:0,i:1801},
D{l:10,t:0,i:748},
D{l:141,t:0,i:458},
D{l:134,t:0,i:741},
D{l:134,t:0,i:992},
D{l:16,t:0,i:111},
D{l:137,t:10,i:304},
D{l:4,t:0,i:425},
D{l:5,t:11,i:387},
D{l:7,t:11,i:557},
D{l:12,t:11,i:547},
D{l:142,t:11,i:86},
D{l:135,t:11,i:1747},
D{l:5,t:10,i:654},
D{l:135,t:11,i:1489},
D{l:7,t:0,i:789},
D{l:4,t:11,i:6},
D{l:5,t:11,i:708},
D{l:136,t:11,i:75},
D{l:6,t:10,i:273},
D{l:10,t:10,i:188},
D{l:13,t:10,i:377},
D{l:146,t:10,i:77},
D{l:6,t:0,i:1593},
D{l:4,t:11,i:303},
D{l:7,t:11,i:619},
D{l:10,t:11,i:547},
D{l:10,t:11,i:687},
D{l:11,t:11,i:122},
D{l:140,t:11,i:601},
D{l:134,t:0,i:1768},
D{l:135,t:10,i:410},
D{l:138,t:11,i:772},
D{l:11,t:0,i:233},
D{l:139,t:10,i:524},
D{l:5,t:0,i:943},
D{l:134,t:0,i:1779},
D{l:134,t:10,i:1785},
D{l:136,t:11,i:529},
D{l:132,t:0,i:955},
D{l:5,t:0,i:245},
D{l:6,t:0,i:576},
D{l:7,t:0,i:582},
D{l:136,t:0,i:225},
D{l:132,t:10,i:780},
D{l:142,t:0,i:241},
D{l:134,t:0,i:1943},
D{l:4,t:11,i:106},
D{l:7,t:11,i:310},
D{l:7,t:11,i:1785},
D{l:10,t:11,i:690},
D{l:139,t:11,i:717},
D{l:134,t:0,i:1284},
D{l:5,t:11,i:890},
D{l:133,t:11,i:988},
D{l:6,t:11,i:626},
D{l:142,t:11,i:431},
D{l:10,t:11,i:706},
D{l:145,t:11,i:32},
D{l:137,t:11,i:332},
D{l:132,t:11,i:698},
D{l:135,t:0,i:709},
D{l:5,t:10,i:948},
D{l:138,t:11,i:17},
D{l:136,t:0,i:554},
D{l:134,t:0,i:1564},
D{l:139,t:10,i:941},
D{l:132,t:0,i:443},
D{l:134,t:0,i:909},
D{l:134,t:11,i:84},
D{l:142,t:0,i:280},
D{l:4,t:10,i:532},
D{l:5,t:10,i:706},
D{l:135,t:10,i:662},
D{l:132,t:0,i:729},
D{l:5,t:10,i:837},
D{l:6,t:10,i:1651},
D{l:139,t:10,i:985},
D{l:135,t:10,i:1861},
D{l:4,t:0,i:348},
D{l:152,t:11,i:3},
D{l:5,t:11,i:986},
D{l:6,t:11,i:130},
D{l:7,t:11,i:1582},
D{l:8,t:11,i:458},
D{l:10,t:11,i:101},
D{l:10,t:11,i:318},
D{l:138,t:11,i:823},
D{l:134,t:0,i:758},
D{l:4,t:0,i:298},
D{l:137,t:0,i:848},
D{l:4,t:10,i:330},
D{l:7,t:10,i:933},
D{l:7,t:10,i:2012},
D{l:136,t:10,i:292},
D{l:7,t:11,i:1644},
D{l:137,t:11,i:129},
D{l:6,t:0,i:1422},
D{l:9,t:0,i:829},
D{l:135,t:10,i:767},
D{l:5,t:0,i:164},
D{l:7,t:0,i:121},
D{l:142,t:0,i:189},
D{l:7,t:0,i:812},
D{l:7,t:0,i:1261},
D{l:7,t:0,i:1360},
D{l:9,t:0,i:632},
D{l:140,t:0,i:352},
D{l:135,t:11,i:1788},
D{l:139,t:0,i:556},
D{l:135,t:11,i:997},
D{l:145,t:10,i:114},
D{l:4,t:0,i:172},
D{l:9,t:0,i:611},
D{l:10,t:0,i:436},
D{l:12,t:0,i:673},
D{l:13,t:0,i:255},
D{l:137,t:10,i:883},
D{l:11,t:0,i:530},
D{l:138,t:10,i:274},
D{l:133,t:0,i:844},
D{l:134,t:0,i:984},
D{l:13,t:0,i:232},
D{l:18,t:0,i:35},
D{l:4,t:10,i:703},
D{l:135,t:10,i:207},
D{l:132,t:10,i:571},
D{l:9,t:0,i:263},
D{l:10,t:0,i:147},
D{l:138,t:0,i:492},
D{l:7,t:11,i:1756},
D{l:137,t:11,i:98},
D{l:5,t:10,i:873},
D{l:5,t:10,i:960},
D{l:8,t:10,i:823},
D{l:137,t:10,i:881},
D{l:133,t:0,i:537},
D{l:132,t:0,i:859},
D{l:7,t:11,i:1046},
D{l:139,t:11,i:160},
D{l:137,t:0,i:842},
D{l:139,t:10,i:283},
D{l:5,t:10,i:33},
D{l:6,t:10,i:470},
D{l:139,t:10,i:424},
D{l:6,t:11,i:45},
D{l:7,t:11,i:433},
D{l:8,t:11,i:129},
D{l:9,t:11,i:21},
D{l:10,t:11,i:392},
D{l:11,t:11,i:79},
D{l:12,t:11,i:499},
D{l:13,t:11,i:199},
D{l:141,t:11,i:451},
D{l:135,t:0,i:1291},
D{l:135,t:10,i:1882},
D{l:7,t:11,i:558},
D{l:136,t:11,i:353},
D{l:134,t:0,i:1482},
D{l:5,t:0,i:230},
D{l:5,t:0,i:392},
D{l:6,t:0,i:420},
D{l:9,t:0,i:568},
D{l:140,t:0,i:612},
D{l:6,t:0,i:262},
D{l:7,t:10,i:90},
D{l:7,t:10,i:664},
D{l:7,t:10,i:830},
D{l:7,t:10,i:1380},
D{l:7,t:10,i:2025},
D{l:8,t:11,i:81},
D{l:8,t:10,i:448},
D{l:8,t:10,i:828},
D{l:9,t:11,i:189},
D{l:9,t:11,i:201},
D{l:11,t:11,i:478},
D{l:11,t:11,i:712},
D{l:141,t:11,i:338},
D{l:142,t:0,i:31},
D{l:5,t:11,i:353},
D{l:151,t:11,i:26},
D{l:132,t:0,i:753},
D{l:4,t:0,i:0},
D{l:5,t:0,i:41},
D{l:7,t:0,i:1459},
D{l:7,t:0,i:1469},
D{l:7,t:0,i:1859},
D{l:9,t:0,i:549},
D{l:139,t:0,i:905},
D{l:9,t:10,i:417},
D{l:137,t:10,i:493},
D{l:135,t:11,i:1113},
D{l:133,t:0,i:696},
D{l:141,t:11,i:448},
D{l:134,t:10,i:295},
D{l:132,t:0,i:834},
D{l:4,t:0,i:771},
D{l:5,t:10,i:1019},
D{l:6,t:11,i:25},
D{l:7,t:11,i:855},
D{l:7,t:11,i:1258},
D{l:144,t:11,i:32},
D{l:134,t:0,i:1076},
D{l:133,t:0,i:921},
D{l:133,t:0,i:674},
D{l:4,t:11,i:4},
D{l:7,t:11,i:1118},
D{l:7,t:11,i:1320},
D{l:7,t:11,i:1706},
D{l:8,t:11,i:277},
D{l:9,t:11,i:622},
D{l:10,t:11,i:9},
D{l:11,t:11,i:724},
D{l:12,t:11,i:350},
D{l:12,t:11,i:397},
D{l:13,t:11,i:28},
D{l:13,t:11,i:159},
D{l:15,t:11,i:89},
D{l:18,t:11,i:5},
D{l:19,t:11,i:9},
D{l:20,t:11,i:34},
D{l:150,t:11,i:47},
D{l:134,t:10,i:208},
D{l:6,t:0,i:444},
D{l:136,t:0,i:308},
D{l:6,t:0,i:180},
D{l:7,t:0,i:1137},
D{l:8,t:0,i:751},
D{l:139,t:0,i:805},
D{l:4,t:0,i:183},
D{l:7,t:0,i:271},
D{l:11,t:0,i:824},
D{l:11,t:0,i:952},
D{l:13,t:0,i:278},
D{l:13,t:0,i:339},
D{l:13,t:0,i:482},
D{l:14,t:0,i:424},
D{l:148,t:0,i:99},
D{l:7,t:11,i:317},
D{l:135,t:11,i:569},
D{l:4,t:0,i:19},
D{l:5,t:0,i:477},
D{l:5,t:0,i:596},
D{l:6,t:0,i:505},
D{l:7,t:0,i:1221},
D{l:11,t:0,i:907},
D{l:12,t:0,i:209},
D{l:141,t:0,i:214},
D{l:135,t:0,i:1215},
D{l:6,t:0,i:271},
D{l:7,t:0,i:398},
D{l:8,t:0,i:387},
D{l:10,t:0,i:344},
D{l:7,t:10,i:448},
D{l:7,t:10,i:1629},
D{l:7,t:10,i:1813},
D{l:8,t:10,i:442},
D{l:9,t:10,i:710},
D{l:10,t:10,i:282},
D{l:138,t:10,i:722},
D{l:11,t:10,i:844},
D{l:12,t:10,i:104},
D{l:140,t:10,i:625},
D{l:134,t:11,i:255},
D{l:133,t:10,i:787},
D{l:134,t:0,i:1645},
D{l:11,t:11,i:956},
D{l:151,t:11,i:3},
D{l:6,t:0,i:92},
D{l:6,t:0,i:188},
D{l:7,t:0,i:209},
D{l:7,t:0,i:1269},
D{l:7,t:0,i:1524},
D{l:7,t:0,i:1876},
D{l:8,t:0,i:661},
D{l:10,t:0,i:42},
D{l:10,t:0,i:228},
D{l:11,t:0,i:58},
D{l:11,t:0,i:1020},
D{l:12,t:0,i:58},
D{l:12,t:0,i:118},
D{l:141,t:0,i:32},
D{l:4,t:0,i:459},
D{l:133,t:0,i:966},
D{l:4,t:11,i:536},
D{l:7,t:11,i:1141},
D{l:10,t:11,i:723},
D{l:139,t:11,i:371},
D{l:140,t:0,i:330},
D{l:134,t:0,i:1557},
D{l:7,t:11,i:285},
D{l:135,t:11,i:876},
D{l:136,t:10,i:491},
D{l:135,t:11,i:560},
D{l:6,t:0,i:18},
D{l:7,t:0,i:179},
D{l:7,t:0,i:932},
D{l:8,t:0,i:548},
D{l:8,t:0,i:757},
D{l:9,t:0,i:54},
D{l:9,t:0,i:65},
D{l:9,t:0,i:532},
D{l:9,t:0,i:844},
D{l:10,t:0,i:113},
D{l:10,t:0,i:117},
D{l:10,t:0,i:315},
D{l:10,t:0,i:560},
D{l:10,t:0,i:622},
D{l:10,t:0,i:798},
D{l:11,t:0,i:153},
D{l:11,t:0,i:351},
D{l:11,t:0,i:375},
D{l:12,t:0,i:78},
D{l:12,t:0,i:151},
D{l:12,t:0,i:392},
D{l:12,t:0,i:666},
D{l:14,t:0,i:248},
D{l:143,t:0,i:23},
D{l:6,t:0,i:1742},
D{l:132,t:11,i:690},
D{l:4,t:10,i:403},
D{l:5,t:10,i:441},
D{l:7,t:10,i:450},
D{l:10,t:10,i:840},
D{l:11,t:10,i:101},
D{l:12,t:10,i:193},
D{l:141,t:10,i:430},
D{l:133,t:0,i:965},
D{l:134,t:0,i:182},
D{l:10,t:0,i:65},
D{l:10,t:0,i:488},
D{l:138,t:0,i:497},
D{l:135,t:11,i:1346},
D{l:6,t:0,i:973},
D{l:6,t:0,i:1158},
D{l:10,t:11,i:200},
D{l:19,t:11,i:2},
D{l:151,t:11,i:22},
D{l:4,t:11,i:190},
D{l:133,t:11,i:554},
D{l:133,t:10,i:679},
D{l:7,t:0,i:328},
D{l:137,t:10,i:326},
D{l:133,t:11,i:1001},
D{l:9,t:0,i:588},
D{l:138,t:0,i:260},
D{l:133,t:11,i:446},
D{l:135,t:10,i:1128},
D{l:135,t:10,i:1796},
D{l:147,t:11,i:119},
D{l:134,t:0,i:1786},
D{l:6,t:0,i:1328},
D{l:6,t:0,i:1985},
D{l:8,t:0,i:962},
D{l:138,t:0,i:1017},
D{l:135,t:0,i:308},
D{l:11,t:0,i:508},
D{l:4,t:10,i:574},
D{l:7,t:10,i:350},
D{l:7,t:10,i:1024},
D{l:8,t:10,i:338},
D{l:9,t:10,i:677},
D{l:138,t:10,i:808},
D{l:138,t:11,i:752},
D{l:135,t:10,i:1081},
D{l:137,t:11,i:96},
D{l:7,t:10,i:1676},
D{l:135,t:10,i:2037},
D{l:136,t:0,i:588},
D{l:132,t:11,i:304},
D{l:133,t:0,i:614},
D{l:140,t:0,i:793},
D{l:136,t:0,i:287},
D{l:137,t:10,i:297},
D{l:141,t:10,i:37},
D{l:6,t:11,i:53},
D{l:6,t:11,i:199},
D{l:7,t:11,i:1408},
D{l:8,t:11,i:32},
D{l:8,t:11,i:93},
D{l:9,t:11,i:437},
D{l:10,t:11,i:397},
D{l:10,t:11,i:629},
D{l:11,t:11,i:593},
D{l:11,t:11,i:763},
D{l:13,t:11,i:326},
D{l:145,t:11,i:35},
D{l:134,t:11,i:105},
D{l:9,t:11,i:320},
D{l:10,t:11,i:506},
D{l:138,t:11,i:794},
D{l:5,t:11,i:114},
D{l:5,t:11,i:255},
D{l:141,t:11,i:285},
D{l:140,t:0,i:290},
D{l:7,t:11,i:2035},
D{l:8,t:11,i:19},
D{l:9,t:11,i:89},
D{l:138,t:11,i:831},
D{l:134,t:0,i:1136},
D{l:7,t:0,i:719},
D{l:8,t:0,i:796},
D{l:8,t:0,i:809},
D{l:8,t:0,i:834},
D{l:6,t:10,i:306},
D{l:7,t:10,i:1140},
D{l:7,t:10,i:1340},
D{l:8,t:10,i:133},
D{l:138,t:10,i:449},
D{l:139,t:10,i:1011},
D{l:5,t:0,i:210},
D{l:6,t:0,i:213},
D{l:7,t:0,i:60},
D{l:10,t:0,i:364},
D{l:139,t:0,i:135},
D{l:5,t:0,i:607},
D{l:8,t:0,i:326},
D{l:136,t:0,i:490},
D{l:138,t:11,i:176},
D{l:132,t:0,i:701},
D{l:5,t:0,i:472},
D{l:7,t:0,i:380},
D{l:137,t:0,i:758},
D{l:135,t:0,i:1947},
D{l:6,t:0,i:1079},
D{l:138,t:0,i:278},
D{l:138,t:11,i:391},
D{l:5,t:10,i:329},
D{l:8,t:10,i:260},
D{l:139,t:11,i:156},
D{l:4,t:0,i:386},
D{l:7,t:0,i:41},
D{l:8,t:0,i:405},
D{l:8,t:0,i:728},
D{l:9,t:0,i:497},
D{l:11,t:0,i:110},
D{l:11,t:0,i:360},
D{l:15,t:0,i:37},
D{l:144,t:0,i:84},
D{l:5,t:0,i:46},
D{l:7,t:0,i:1452},
D{l:7,t:0,i:1480},
D{l:8,t:0,i:634},
D{l:140,t:0,i:472},
D{l:136,t:0,i:961},
D{l:4,t:0,i:524},
D{l:136,t:0,i:810},
D{l:10,t:0,i:238},
D{l:141,t:0,i:33},
D{l:132,t:10,i:657},
D{l:152,t:10,i:7},
D{l:133,t:0,i:532},
D{l:5,t:0,i:997},
D{l:135,t:10,i:1665},
D{l:7,t:11,i:594},
D{l:7,t:11,i:851},
D{l:7,t:11,i:1858},
D{l:9,t:11,i:411},
D{l:9,t:11,i:574},
D{l:9,t:11,i:666},
D{l:9,t:11,i:737},
D{l:10,t:11,i:346},
D{l:10,t:11,i:712},
D{l:11,t:11,i:246},
D{l:11,t:11,i:432},
D{l:11,t:11,i:517},
D{l:11,t:11,i:647},
D{l:11,t:11,i:679},
D{l:11,t:11,i:727},
D{l:12,t:11,i:304},
D{l:12,t:11,i:305},
D{l:12,t:11,i:323},
D{l:12,t:11,i:483},
D{l:12,t:11,i:572},
D{l:12,t:11,i:593},
D{l:12,t:11,i:602},
D{l:13,t:11,i:95},
D{l:13,t:11,i:101},
D{l:13,t:11,i:171},
D{l:13,t:11,i:315},
D{l:13,t:11,i:378},
D{l:13,t:11,i:425},
D{l:13,t:11,i:475},
D{l:14,t:11,i:63},
D{l:14,t:11,i:380},
D{l:14,t:11,i:384},
D{l:15,t:11,i:133},
D{l:18,t:11,i:112},
D{l:148,t:11,i:72},
D{l:5,t:11,i:955},
D{l:136,t:11,i:814},
D{l:134,t:0,i:1301},
D{l:5,t:10,i:66},
D{l:7,t:10,i:1896},
D{l:136,t:10,i:288},
D{l:133,t:11,i:56},
D{l:134,t:10,i:1643},
D{l:6,t:0,i:1298},
D{l:148,t:11,i:100},
D{l:5,t:0,i:782},
D{l:5,t:0,i:829},
D{l:6,t:0,i:671},
D{l:6,t:0,i:1156},
D{l:6,t:0,i:1738},
D{l:137,t:11,i:621},
D{l:4,t:0,i:306},
D{l:5,t:0,i:570},
D{l:7,t:0,i:1347},
D{l:5,t:10,i:91},
D{l:5,t:10,i:648},
D{l:5,t:10,i:750},
D{l:5,t:10,i:781},
D{l:6,t:10,i:54},
D{l:6,t:10,i:112},
D{l:6,t:10,i:402},
D{l:6,t:10,i:1732},
D{l:7,t:10,i:315},
D{l:7,t:10,i:749},
D{l:7,t:10,i:1900},
D{l:9,t:10,i:78},
D{l:9,t:10,i:508},
D{l:10,t:10,i:611},
D{l:10,t:10,i:811},
D{l:11,t:10,i:510},
D{l:11,t:10,i:728},
D{l:13,t:10,i:36},
D{l:14,t:10,i:39},
D{l:16,t:10,i:83},
D{l:17,t:10,i:124},
D{l:148,t:10,i:30},
D{l:8,t:10,i:570},
D{l:9,t:11,i:477},
D{l:141,t:11,i:78},
D{l:4,t:11,i:639},
D{l:10,t:11,i:4},
D{l:10,t:10,i:322},
D{l:10,t:10,i:719},
D{l:11,t:10,i:407},
D{l:11,t:11,i:638},
D{l:12,t:11,i:177},
D{l:148,t:11,i:57},
D{l:7,t:0,i:1823},
D{l:139,t:0,i:693},
D{l:7,t:0,i:759},
D{l:5,t:11,i:758},
D{l:8,t:10,i:125},
D{l:8,t:10,i:369},
D{l:8,t:10,i:524},
D{l:10,t:10,i:486},
D{l:11,t:10,i:13},
D{l:11,t:10,i:381},
D{l:11,t:10,i:736},
D{l:11,t:10,i:766},
D{l:11,t:10,i:845},
D{l:13,t:10,i:114},
D{l:13,t:10,i:292},
D{l:142,t:10,i:47},
D{l:7,t:0,i:1932},
D{l:6,t:10,i:1684},
D{l:6,t:10,i:1731},
D{l:7,t:10,i:356},
D{l:8,t:10,i:54},
D{l:8,t:10,i:221},
D{l:9,t:10,i:225},
D{l:9,t:10,i:356},
D{l:10,t:10,i:77},
D{l:10,t:10,i:446},
D{l:10,t:10,i:731},
D{l:12,t:10,i:404},
D{l:141,t:10,i:491},
D{l:135,t:11,i:552},
D{l:135,t:11,i:1112},
D{l:4,t:0,i:78},
D{l:5,t:0,i:96},
D{l:5,t:0,i:182},
D{l:6,t:0,i:1257},
D{l:7,t:0,i:1724},
D{l:7,t:0,i:1825},
D{l:10,t:0,i:394},
D{l:10,t:0,i:471},
D{l:11,t:0,i:532},
D{l:14,t:0,i:340},
D{l:145,t:0,i:88},
D{l:139,t:11,i:328},
D{l:135,t:0,i:1964},
D{l:132,t:10,i:411},
D{l:4,t:10,i:80},
D{l:5,t:10,i:44},
D{l:137,t:11,i:133},
D{l:5,t:11,i:110},
D{l:6,t:11,i:169},
D{l:6,t:11,i:1702},
D{l:7,t:11,i:400},
D{l:8,t:11,i:538},
D{l:9,t:11,i:184},
D{l:9,t:11,i:524},
D{l:140,t:11,i:218},
D{l:4,t:0,i:521},
D{l:5,t:10,i:299},
D{l:7,t:10,i:1083},
D{l:140,t:11,i:554},
D{l:6,t:11,i:133},
D{l:9,t:11,i:353},
D{l:12,t:11,i:628},
D{l:146,t:11,i:79},
D{l:6,t:0,i:215},
D{l:7,t:0,i:584},
D{l:7,t:0,i:1028},
D{l:7,t:0,i:1473},
D{l:7,t:0,i:1721},
D{l:9,t:0,i:424},
D{l:138,t:0,i:779},
D{l:7,t:0,i:857},
D{l:7,t:0,i:1209},
D{l:7,t:10,i:1713},
D{l:9,t:10,i:537},
D{l:10,t:10,i:165},
D{l:12,t:10,i:219},
D{l:140,t:10,i:561},
D{l:4,t:10,i:219},
D{l:6,t:11,i:93},
D{l:7,t:11,i:1422},
D{l:7,t:10,i:1761},
D{l:7,t:11,i:1851},
D{l:8,t:11,i:673},
D{l:9,t:10,i:86},
D{l:9,t:11,i:529},
D{l:140,t:11,i:43},
D{l:137,t:11,i:371},
D{l:136,t:0,i:671},
D{l:5,t:0,i:328},
D{l:135,t:0,i:918},
D{l:132,t:0,i:529},
D{l:9,t:11,i:25},
D{l:10,t:11,i:467},
D{l:138,t:11,i:559},
D{l:4,t:11,i:335},
D{l:135,t:11,i:942},
D{l:134,t:0,i:716},
D{l:134,t:0,i:1509},
D{l:6,t:0,i:67},
D{l:7,t:0,i:258},
D{l:7,t:0,i:1630},
D{l:9,t:0,i:354},
D{l:9,t:0,i:675},
D{l:10,t:0,i:830},
D{l:14,t:0,i:80},
D{l:17,t:0,i:80},
D{l:140,t:10,i:428},
D{l:134,t:0,i:1112},
D{l:6,t:0,i:141},
D{l:7,t:0,i:225},
D{l:9,t:0,i:59},
D{l:9,t:0,i:607},
D{l:10,t:0,i:312},
D{l:11,t:0,i:687},
D{l:12,t:0,i:555},
D{l:13,t:0,i:373},
D{l:13,t:0,i:494},
D{l:148,t:0,i:58},
D{l:133,t:10,i:514},
D{l:8,t:11,i:39},
D{l:10,t:11,i:773},
D{l:11,t:11,i:84},
D{l:12,t:11,i:205},
D{l:142,t:11,i:1},
D{l:8,t:0,i:783},
D{l:5,t:11,i:601},
D{l:133,t:11,i:870},
D{l:136,t:11,i:594},
D{l:4,t:10,i:55},
D{l:5,t:10,i:301},
D{l:6,t:10,i:571},
D{l:14,t:10,i:49},
D{l:146,t:10,i:102},
D{l:132,t:11,i:181},
D{l:134,t:11,i:1652},
D{l:133,t:10,i:364},
D{l:4,t:11,i:97},
D{l:5,t:11,i:147},
D{l:6,t:11,i:286},
D{l:7,t:11,i:1362},
D{l:141,t:11,i:176},
D{l:4,t:10,i:76},
D{l:7,t:10,i:1550},
D{l:9,t:10,i:306},
D{l:9,t:10,i:430},
D{l:9,t:10,i:663},
D{l:10,t:10,i:683},
D{l:11,t:10,i:427},
D{l:11,t:10,i:753},
D{l:12,t:10,i:334},
D{l:12,t:10,i:442},
D{l:14,t:10,i:258},
D{l:14,t:10,i:366},
D{l:143,t:10,i:131},
D{l:137,t:10,i:52},
D{l:6,t:0,i:955},
D{l:134,t:0,i:1498},
D{l:6,t:11,i:375},
D{l:7,t:11,i:169},
D{l:7,t:11,i:254},
D{l:136,t:11,i:780},
D{l:7,t:0,i:430},
D{l:11,t:0,i:46},
D{l:14,t:0,i:343},
D{l:142,t:11,i:343},
D{l:135,t:0,i:1183},
D{l:5,t:0,i:602},
D{l:7,t:0,i:2018},
D{l:9,t:0,i:418},
D{l:9,t:0,i:803},
D{l:135,t:11,i:1447},
D{l:8,t:0,i:677},
D{l:135,t:11,i:1044},
D{l:139,t:11,i:285},
D{l:4,t:10,i:656},
D{l:135,t:10,i:779},
D{l:135,t:10,i:144},
D{l:5,t:11,i:629},
D{l:135,t:11,i:1549},
D{l:135,t:10,i:1373},
D{l:138,t:11,i:209},
D{l:7,t:10,i:554},
D{l:7,t:10,i:605},
D{l:141,t:10,i:10},
D{l:5,t:10,i:838},
D{l:5,t:10,i:841},
D{l:134,t:10,i:1649},
D{l:133,t:10,i:1012},
D{l:6,t:0,i:1357},
D{l:134,t:0,i:1380},
D{l:144,t:0,i:53},
D{l:6,t:0,i:590},
D{l:7,t:10,i:365},
D{l:7,t:10,i:1357},
D{l:7,t:10,i:1497},
D{l:8,t:10,i:154},
D{l:141,t:10,i:281},
D{l:133,t:10,i:340},
D{l:132,t:11,i:420},
D{l:135,t:0,i:329},
D{l:147,t:11,i:32},
D{l:4,t:0,i:469},
D{l:10,t:11,i:429},
D{l:139,t:10,i:495},
D{l:8,t:10,i:261},
D{l:9,t:10,i:144},
D{l:9,t:10,i:466},
D{l:10,t:10,i:370},
D{l:12,t:10,i:470},
D{l:13,t:10,i:144},
D{l:142,t:10,i:348},
D{l:142,t:0,i:460},
D{l:4,t:11,i:325},
D{l:9,t:10,i:897},
D{l:138,t:11,i:125},
D{l:6,t:0,i:1743},
D{l:6,t:10,i:248},
D{l:9,t:10,i:546},
D{l:10,t:10,i:535},
D{l:11,t:10,i:681},
D{l:141,t:10,i:135},
D{l:4,t:0,i:990},
D{l:5,t:0,i:929},
D{l:6,t:0,i:340},
D{l:8,t:0,i:376},
D{l:8,t:0,i:807},
D{l:8,t:0,i:963},
D{l:8,t:0,i:980},
D{l:138,t:0,i:1007},
D{l:134,t:0,i:1603},
D{l:140,t:0,i:250},
D{l:4,t:11,i:714},
D{l:133,t:11,i:469},
D{l:134,t:10,i:567},
D{l:136,t:10,i:445},
D{l:5,t:0,i:218},
D{l:7,t:0,i:1610},
D{l:8,t:0,i:646},
D{l:10,t:0,i:83},
D{l:11,t:11,i:138},
D{l:140,t:11,i:40},
D{l:7,t:0,i:1512},
D{l:135,t:0,i:1794},
D{l:135,t:11,i:1216},
D{l:11,t:0,i:0},
D{l:16,t:0,i:78},
D{l:132,t:11,i:718},
D{l:133,t:0,i:571},
D{l:132,t:0,i:455},
D{l:134,t:0,i:1012},
D{l:5,t:11,i:124},
D{l:5,t:11,i:144},
D{l:6,t:11,i:548},
D{l:7,t:11,i:15},
D{l:7,t:11,i:153},
D{l:137,t:11,i:629},
D{l:142,t:11,i:10},
D{l:6,t:11,i:75},
D{l:7,t:11,i:1531},
D{l:8,t:11,i:416},
D{l:9,t:11,i:240},
D{l:9,t:11,i:275},
D{l:10,t:11,i:100},
D{l:11,t:11,i:658},
D{l:11,t:11,i:979},
D{l:12,t:11,i:86},
D{l:13,t:11,i:468},
D{l:14,t:11,i:66},
D{l:14,t:11,i:207},
D{l:15,t:11,i:20},
D{l:15,t:11,i:25},
D{l:144,t:11,i:58},
D{l:132,t:10,i:577},
D{l:5,t:11,i:141},
D{l:5,t:11,i:915},
D{l:6,t:11,i:1783},
D{l:7,t:11,i:211},
D{l:7,t:11,i:698},
D{l:7,t:11,i:1353},
D{l:9,t:11,i:83},
D{l:9,t:11,i:281},
D{l:10,t:11,i:376},
D{l:10,t:11,i:431},
D{l:11,t:11,i:543},
D{l:12,t:11,i:664},
D{l:13,t:11,i:280},
D{l:13,t:11,i:428},
D{l:14,t:11,i:61},
D{l:14,t:11,i:128},
D{l:17,t:11,i:52},
D{l:145,t:11,i:81},
D{l:6,t:0,i:161},
D{l:7,t:0,i:372},
D{l:137,t:0,i:597},
D{l:132,t:0,i:349},
D{l:10,t:11,i:702},
D{l:139,t:11,i:245},
D{l:134,t:0,i:524},
D{l:134,t:10,i:174},
D{l:6,t:0,i:432},
D{l:9,t:0,i:751},
D{l:139,t:0,i:322},
D{l:147,t:11,i:94},
D{l:4,t:11,i:338},
D{l:133,t:11,i:400},
D{l:5,t:0,i:468},
D{l:10,t:0,i:325},
D{l:11,t:0,i:856},
D{l:12,t:0,i:345},
D{l:143,t:0,i:104},
D{l:133,t:0,i:223},
D{l:132,t:0,i:566},
D{l:4,t:11,i:221},
D{l:5,t:11,i:659},
D{l:5,t:11,i:989},
D{l:7,t:11,i:697},
D{l:7,t:11,i:1211},
D{l:138,t:11,i:284},
D{l:135,t:11,i:1070},
D{l:4,t:0,i:59},
D{l:135,t:0,i:1394},
D{l:6,t:0,i:436},
D{l:11,t:0,i:481},
D{l:5,t:10,i:878},
D{l:133,t:10,i:972},
D{l:4,t:0,i:48},
D{l:5,t:0,i:271},
D{l:135,t:0,i:953},
D{l:5,t:0,i:610},
D{l:136,t:0,i:457},
D{l:4,t:0,i:773},
D{l:5,t:0,i:618},
D{l:137,t:0,i:756},
D{l:133,t:0,i:755},
D{l:135,t:0,i:1217},
D{l:138,t:11,i:507},
D{l:132,t:10,i:351},
D{l:132,t:0,i:197},
D{l:143,t:11,i:78},
D{l:4,t:11,i:188},
D{l:7,t:11,i:805},
D{l:11,t:11,i:276},
D{l:142,t:11,i:293},
D{l:5,t:11,i:884},
D{l:139,t:11,i:991},
D{l:132,t:10,i:286},
D{l:10,t:0,i:259},
D{l:10,t:0,i:428},
D{l:7,t:10,i:438},
D{l:7,t:10,i:627},
D{l:7,t:10,i:1516},
D{l:8,t:10,i:40},
D{l:9,t:10,i:56},
D{l:9,t:10,i:294},
D{l:11,t:10,i:969},
D{l:11,t:10,i:995},
D{l:146,t:10,i:148},
D{l:4,t:0,i:356},
D{l:5,t:0,i:217},
D{l:5,t:0,i:492},
D{l:5,t:0,i:656},
D{l:8,t:0,i:544},
D{l:136,t:11,i:544},
D{l:5,t:0,i:259},
D{l:6,t:0,i:1230},
D{l:7,t:0,i:414},
D{l:7,t:0,i:854},
D{l:142,t:0,i:107},
D{l:132,t:0,i:1007},
D{l:15,t:0,i:14},
D{l:144,t:0,i:5},
D{l:6,t:0,i:1580},
D{l:132,t:10,i:738},
D{l:132,t:11,i:596},
D{l:132,t:0,i:673},
D{l:133,t:10,i:866},
D{l:6,t:0,i:1843},
D{l:135,t:11,i:1847},
D{l:4,t:0,i:165},
D{l:7,t:0,i:1398},
D{l:135,t:0,i:1829},
D{l:135,t:11,i:1634},
D{l:147,t:11,i:65},
D{l:6,t:0,i:885},
D{l:6,t:0,i:1009},
D{l:137,t:0,i:809},
D{l:133,t:10,i:116},
D{l:132,t:10,i:457},
D{l:136,t:11,i:770},
D{l:9,t:0,i:498},
D{l:12,t:0,i:181},
D{l:10,t:11,i:361},
D{l:142,t:11,i:316},
D{l:134,t:11,i:595},
D{l:5,t:0,i:9},
D{l:7,t:0,i:297},
D{l:7,t:0,i:966},
D{l:140,t:0,i:306},
D{l:4,t:11,i:89},
D{l:5,t:11,i:489},
D{l:6,t:11,i:315},
D{l:7,t:11,i:553},
D{l:7,t:11,i:1745},
D{l:138,t:11,i:243},
D{l:134,t:0,i:1487},
D{l:132,t:0,i:437},
D{l:5,t:0,i:146},
D{l:6,t:0,i:411},
D{l:138,t:0,i:721},
D{l:5,t:10,i:527},
D{l:6,t:10,i:189},
D{l:135,t:10,i:859},
D{l:11,t:10,i:104},
D{l:11,t:10,i:554},
D{l:15,t:10,i:60},
D{l:143,t:10,i:125},
D{l:6,t:11,i:1658},
D{l:9,t:11,i:3},
D{l:10,t:11,i:154},
D{l:11,t:11,i:641},
D{l:13,t:11,i:85},
D{l:13,t:11,i:201},
D{l:141,t:11,i:346},
D{l:6,t:0,i:177},
D{l:135,t:0,i:467},
D{l:134,t:0,i:1377},
D{l:134,t:10,i:116},
D{l:136,t:11,i:645},
D{l:4,t:11,i:166},
D{l:5,t:11,i:505},
D{l:6,t:11,i:1670},
D{l:137,t:11,i:110},
D{l:133,t:10,i:487},
D{l:4,t:10,i:86},
D{l:5,t:10,i:667},
D{l:5,t:10,i:753},
D{l:6,t:10,i:316},
D{l:6,t:10,i:455},
D{l:135,t:10,i:946},
D{l:133,t:0,i:200},
D{l:132,t:0,i:959},
D{l:6,t:0,i:1928},
D{l:134,t:0,i:1957},
D{l:139,t:11,i:203},
D{l:150,t:10,i:45},
D{l:4,t:10,i:79},
D{l:7,t:10,i:1773},
D{l:10,t:10,i:450},
D{l:11,t:10,i:589},
D{l:13,t:10,i:332},
D{l:13,t:10,i:493},
D{l:14,t:10,i:183},
D{l:14,t:10,i:334},
D{l:14,t:10,i:362},
D{l:14,t:10,i:368},
D{l:14,t:10,i:376},
D{l:14,t:10,i:379},
D{l:19,t:10,i:90},
D{l:19,t:10,i:103},
D{l:19,t:10,i:127},
D{l:148,t:10,i:90},
D{l:6,t:0,i:1435},
D{l:135,t:11,i:1275},
D{l:134,t:0,i:481},
D{l:7,t:11,i:445},
D{l:8,t:11,i:307},
D{l:8,t:11,i:704},
D{l:10,t:11,i:41},
D{l:10,t:11,i:439},
D{l:11,t:11,i:237},
D{l:11,t:11,i:622},
D{l:140,t:11,i:201},
D{l:135,t:11,i:869},
D{l:4,t:0,i:84},
D{l:7,t:0,i:1482},
D{l:10,t:0,i:76},
D{l:138,t:0,i:142},
D{l:11,t:11,i:277},
D{l:144,t:11,i:14},
D{l:135,t:11,i:1977},
D{l:4,t:11,i:189},
D{l:5,t:11,i:713},
D{l:136,t:11,i:57},
D{l:133,t:0,i:1015},
D{l:138,t:11,i:371},
D{l:4,t:0,i:315},
D{l:5,t:0,i:507},
D{l:135,t:0,i:1370},
D{l:4,t:11,i:552},
D{l:142,t:10,i:381},
D{l:9,t:0,i:759},
D{l:16,t:0,i:31},
D{l:16,t:0,i:39},
D{l:16,t:0,i:75},
D{l:18,t:0,i:24},
D{l:20,t:0,i:42},
D{l:152,t:0,i:1},
D{l:134,t:0,i:712},
D{l:134,t:0,i:1722},
D{l:133,t:10,i:663},
D{l:133,t:10,i:846},
D{l:8,t:0,i:222},
D{l:8,t:0,i:476},
D{l:9,t:0,i:238},
D{l:11,t:0,i:516},
D{l:11,t:0,i:575},
D{l:15,t:0,i:109},
D{l:146,t:0,i:100},
D{l:7,t:0,i:1402},
D{l:7,t:0,i:1414},
D{l:12,t:0,i:456},
D{l:5,t:10,i:378},
D{l:8,t:10,i:465},
D{l:9,t:10,i:286},
D{l:10,t:10,i:185},
D{l:10,t:10,i:562},
D{l:10,t:10,i:635},
D{l:11,t:10,i:31},
D{l:11,t:10,i:393},
D{l:13,t:10,i:312},
D{l:18,t:10,i:65},
D{l:18,t:10,i:96},
D{l:147,t:10,i:89},
D{l:4,t:0,i:986},
D{l:6,t:0,i:1958},
D{l:6,t:0,i:2032},
D{l:8,t:0,i:934},
D{l:138,t:0,i:985},
D{l:7,t:10,i:1880},
D{l:9,t:10,i:680},
D{l:139,t:10,i:798},
D{l:134,t:10,i:1770},
D{l:145,t:11,i:49},
D{l:132,t:11,i:614},
D{l:132,t:10,i:648},
D{l:5,t:10,i:945},
D{l:6,t:10,i:1656},
D{l:6,t:10,i:1787},
D{l:7,t:10,i:167},
D{l:8,t:10,i:824},
D{l:9,t:10,i:391},
D{l:10,t:10,i:375},
D{l:139,t:10,i:185},
D{l:138,t:11,i:661},
D{l:7,t:0,i:1273},
D{l:135,t:11,i:1945},
D{l:7,t:0,i:706},
D{l:7,t:0,i:1058},
D{l:138,t:0,i:538},
D{l:7,t:10,i:1645},
D{l:8,t:10,i:352},
D{l:137,t:10,i:249},
D{l:132,t:10,i:152},
D{l:11,t:0,i:92},
D{l:11,t:0,i:196},
D{l:11,t:0,i:409},
D{l:11,t:0,i:450},
D{l:11,t:0,i:666},
D{l:11,t:0,i:777},
D{l:12,t:0,i:262},
D{l:13,t:0,i:385},
D{l:13,t:0,i:393},
D{l:15,t:0,i:115},
D{l:16,t:0,i:45},
D{l:145,t:0,i:82},
D{l:133,t:10,i:1006},
D{l:6,t:0,i:40},
D{l:135,t:0,i:1781},
D{l:9,t:11,i:614},
D{l:139,t:11,i:327},
D{l:5,t:10,i:420},
D{l:135,t:10,i:1449},
D{l:135,t:0,i:431},
D{l:10,t:0,i:97},
D{l:135,t:10,i:832},
D{l:6,t:0,i:423},
D{l:7,t:0,i:665},
D{l:135,t:0,i:1210},
D{l:7,t:0,i:237},
D{l:8,t:0,i:664},
D{l:9,t:0,i:42},
D{l:9,t:0,i:266},
D{l:9,t:0,i:380},
D{l:9,t:0,i:645},
D{l:10,t:0,i:177},
D{l:138,t:0,i:276},
D{l:7,t:0,i:264},
D{l:133,t:10,i:351},
D{l:8,t:0,i:213},
D{l:5,t:10,i:40},
D{l:7,t:10,i:598},
D{l:7,t:10,i:1638},
D{l:9,t:10,i:166},
D{l:9,t:10,i:640},
D{l:9,t:10,i:685},
D{l:9,t:10,i:773},
D{l:11,t:10,i:215},
D{l:13,t:10,i:65},
D{l:14,t:10,i:172},
D{l:14,t:10,i:317},
D{l:145,t:10,i:6},
D{l:5,t:11,i:84},
D{l:134,t:11,i:163},
D{l:8,t:10,i:60},
D{l:9,t:10,i:343},
D{l:139,t:10,i:769},
D{l:137,t:0,i:455},
D{l:133,t:11,i:410},
D{l:8,t:0,i:906},
D{l:12,t:0,i:700},
D{l:12,t:0,i:706},
D{l:140,t:0,i:729},
D{l:21,t:11,i:33},
D{l:150,t:11,i:40},
D{l:7,t:10,i:1951},
D{l:8,t:10,i:765},
D{l:8,t:10,i:772},
D{l:140,t:10,i:671},
D{l:7,t:10,i:108},
D{l:8,t:10,i:219},
D{l:8,t:10,i:388},
D{l:9,t:10,i:639},
D{l:9,t:10,i:775},
D{l:11,t:10,i:275},
D{l:140,t:10,i:464},
D{l:5,t:11,i:322},
D{l:7,t:11,i:1941},
D{l:8,t:11,i:186},
D{l:9,t:11,i:262},
D{l:10,t:11,i:187},
D{l:14,t:11,i:208},
D{l:146,t:11,i:130},
D{l:139,t:0,i:624},
D{l:8,t:0,i:574},
D{l:5,t:11,i:227},
D{l:140,t:11,i:29},
D{l:7,t:11,i:1546},
D{l:11,t:11,i:299},
D{l:142,t:11,i:407},
D{l:5,t:10,i:15},
D{l:6,t:10,i:56},
D{l:7,t:10,i:1758},
D{l:8,t:10,i:500},
D{l:9,t:10,i:730},
D{l:11,t:10,i:331},
D{l:13,t:10,i:150},
D{l:142,t:10,i:282},
D{l:7,t:11,i:1395},
D{l:8,t:11,i:486},
D{l:9,t:11,i:236},
D{l:9,t:11,i:878},
D{l:10,t:11,i:218},
D{l:11,t:11,i:95},
D{l:19,t:11,i:17},
D{l:147,t:11,i:31},
D{l:135,t:11,i:2043},
D{l:4,t:0,i:354},
D{l:146,t:11,i:4},
D{l:140,t:11,i:80},
D{l:135,t:0,i:1558},
D{l:134,t:10,i:1886},
D{l:5,t:10,i:205},
D{l:6,t:10,i:438},
D{l:137,t:10,i:711},
D{l:133,t:11,i:522},
D{l:133,t:10,i:534},
D{l:7,t:0,i:235},
D{l:7,t:0,i:1475},
D{l:15,t:0,i:68},
D{l:146,t:0,i:120},
D{l:137,t:10,i:691},
D{l:4,t:0,i:942},
D{l:6,t:0,i:1813},
D{l:8,t:0,i:917},
D{l:10,t:0,i:884},
D{l:12,t:0,i:696},
D{l:12,t:0,i:717},
D{l:12,t:0,i:723},
D{l:12,t:0,i:738},
D{l:12,t:0,i:749},
D{l:12,t:0,i:780},
D{l:16,t:0,i:97},
D{l:146,t:0,i:169},
D{l:6,t:10,i:443},
D{l:8,t:11,i:562},
D{l:9,t:10,i:237},
D{l:9,t:10,i:571},
D{l:9,t:10,i:695},
D{l:10,t:10,i:139},
D{l:11,t:10,i:715},
D{l:12,t:10,i:417},
D{l:141,t:10,i:421},
D{l:135,t:0,i:957},
D{l:133,t:0,i:830},
D{l:134,t:11,i:1771},
D{l:146,t:0,i:23},
D{l:5,t:0,i:496},
D{l:6,t:0,i:694},
D{l:7,t:0,i:203},
D{l:7,t:11,i:1190},
D{l:137,t:11,i:620},
D{l:137,t:11,i:132},
D{l:6,t:0,i:547},
D{l:134,t:0,i:1549},
D{l:8,t:11,i:258},
D{l:9,t:11,i:208},
D{l:137,t:11,i:359},
D{l:4,t:0,i:864},
D{l:5,t:0,i:88},
D{l:137,t:0,i:239},
D{l:135,t:11,i:493},
D{l:4,t:11,i:317},
D{l:135,t:11,i:1279},
D{l:132,t:11,i:477},
D{l:4,t:10,i:578},
D{l:5,t:11,i:63},
D{l:133,t:11,i:509},
D{l:7,t:0,i:650},
D{l:135,t:0,i:1310},
D{l:7,t:0,i:1076},
D{l:9,t:0,i:80},
D{l:11,t:0,i:78},
D{l:11,t:0,i:421},
D{l:11,t:0,i:534},
D{l:140,t:0,i:545},
D{l:132,t:11,i:288},
D{l:12,t:0,i:553},
D{l:14,t:0,i:118},
D{l:133,t:10,i:923},
D{l:7,t:0,i:274},
D{l:11,t:0,i:479},
D{l:139,t:0,i:507},
D{l:8,t:11,i:89},
D{l:8,t:11,i:620},
D{l:9,t:11,i:49},
D{l:10,t:11,i:774},
D{l:11,t:11,i:628},
D{l:12,t:11,i:322},
D{l:143,t:11,i:124},
D{l:4,t:0,i:497},
D{l:135,t:0,i:1584},
D{l:7,t:0,i:261},
D{l:7,t:0,i:1115},
D{l:7,t:0,i:1354},
D{l:7,t:0,i:1404},
D{l:7,t:0,i:1588},
D{l:7,t:0,i:1705},
D{l:7,t:0,i:1902},
D{l:9,t:0,i:465},
D{l:10,t:0,i:248},
D{l:10,t:0,i:349},
D{l:10,t:0,i:647},
D{l:11,t:0,i:527},
D{l:11,t:0,i:660},
D{l:11,t:0,i:669},
D{l:12,t:0,i:529},
D{l:13,t:0,i:305},
D{l:132,t:10,i:924},
D{l:133,t:10,i:665},
D{l:136,t:0,i:13},
D{l:6,t:0,i:791},
D{l:138,t:11,i:120},
D{l:7,t:0,i:642},
D{l:8,t:0,i:250},
D{l:11,t:0,i:123},
D{l:11,t:0,i:137},
D{l:13,t:0,i:48},
D{l:142,t:0,i:95},
D{l:4,t:10,i:265},
D{l:7,t:10,i:807},
D{l:135,t:10,i:950},
D{l:5,t:10,i:93},
D{l:140,t:10,i:267},
D{l:135,t:0,i:1429},
D{l:4,t:0,i:949},
D{l:10,t:0,i:885},
D{l:10,t:0,i:891},
D{l:10,t:0,i:900},
D{l:10,t:0,i:939},
D{l:12,t:0,i:760},
D{l:142,t:0,i:449},
D{l:139,t:11,i:366},
D{l:132,t:0,i:818},
D{l:134,t:11,i:85},
D{l:135,t:10,i:994},
D{l:7,t:0,i:330},
D{l:5,t:10,i:233},
D{l:5,t:10,i:320},
D{l:6,t:10,i:140},
D{l:136,t:10,i:295},
D{l:4,t:0,i:1004},
D{l:8,t:0,i:982},
D{l:136,t:0,i:993},
D{l:133,t:10,i:978},
D{l:4,t:10,i:905},
D{l:6,t:10,i:1701},
D{l:137,t:10,i:843},
D{l:10,t:0,i:545},
D{l:140,t:0,i:301},
D{l:6,t:0,i:947},
D{l:134,t:0,i:1062},
D{l:134,t:0,i:1188},
D{l:4,t:0,i:904},
D{l:5,t:0,i:794},
D{l:152,t:10,i:6},
D{l:134,t:0,i:1372},
D{l:135,t:11,i:608},
D{l:5,t:11,i:279},
D{l:6,t:11,i:235},
D{l:7,t:11,i:468},
D{l:8,t:11,i:446},
D{l:9,t:11,i:637},
D{l:10,t:11,i:717},
D{l:11,t:11,i:738},
D{l:140,t:11,i:514},
D{l:132,t:10,i:509},
D{l:5,t:11,i:17},
D{l:6,t:11,i:371},
D{l:137,t:11,i:528},
D{l:132,t:0,i:693},
D{l:4,t:11,i:115},
D{l:5,t:11,i:669},
D{l:6,t:11,i:407},
D{l:8,t:11,i:311},
D{l:11,t:11,i:10},
D{l:141,t:11,i:5},
D{l:11,t:0,i:377},
D{l:7,t:10,i:273},
D{l:137,t:11,i:381},
D{l:135,t:0,i:695},
D{l:7,t:0,i:386},
D{l:138,t:0,i:713},
D{l:135,t:10,i:1041},
D{l:134,t:0,i:1291},
D{l:6,t:0,i:7},
D{l:6,t:0,i:35},
D{l:7,t:0,i:147},
D{l:7,t:0,i:1069},
D{l:7,t:0,i:1568},
D{l:7,t:0,i:1575},
D{l:7,t:0,i:1917},
D{l:8,t:0,i:43},
D{l:8,t:0,i:208},
D{l:9,t:0,i:128},
D{l:9,t:0,i:866},
D{l:10,t:0,i:20},
D{l:11,t:0,i:981},
D{l:147,t:0,i:33},
D{l:7,t:0,i:893},
D{l:141,t:0,i:424},
D{l:139,t:10,i:234},
D{l:150,t:11,i:56},
D{l:5,t:11,i:779},
D{l:5,t:11,i:807},
D{l:6,t:11,i:1655},
D{l:134,t:11,i:1676},
D{l:5,t:10,i:802},
D{l:7,t:10,i:2021},
D{l:136,t:10,i:805},
D{l:4,t:11,i:196},
D{l:5,t:10,i:167},
D{l:5,t:11,i:558},
D{l:5,t:10,i:899},
D{l:5,t:11,i:949},
D{l:6,t:10,i:410},
D{l:137,t:10,i:777},
D{l:137,t:10,i:789},
D{l:134,t:10,i:1705},
D{l:8,t:0,i:904},
D{l:140,t:0,i:787},
D{l:6,t:0,i:322},
D{l:9,t:0,i:552},
D{l:11,t:0,i:274},
D{l:13,t:0,i:209},
D{l:13,t:0,i:499},
D{l:14,t:0,i:85},
D{l:15,t:0,i:126},
D{l:145,t:0,i:70},
D{l:135,t:10,i:10},
D{l:5,t:10,i:11},
D{l:6,t:10,i:117},
D{l:6,t:10,i:485},
D{l:7,t:10,i:1133},
D{l:9,t:10,i:582},
D{l:9,t:10,i:594},
D{l:11,t:10,i:21},
D{l:11,t:10,i:818},
D{l:12,t:10,i:535},
D{l:141,t:10,i:86},
D{l:4,t:10,i:264},
D{l:7,t:10,i:1067},
D{l:8,t:10,i:204},
D{l:8,t:10,i:385},
D{l:139,t:10,i:953},
D{l:132,t:11,i:752},
D{l:138,t:10,i:56},
D{l:133,t:10,i:470},
D{l:6,t:0,i:1808},
D{l:8,t:0,i:83},
D{l:8,t:0,i:742},
D{l:8,t:0,i:817},
D{l:9,t:0,i:28},
D{l:9,t:0,i:29},
D{l:9,t:0,i:885},
D{l:10,t:0,i:387},
D{l:11,t:0,i:633},
D{l:11,t:0,i:740},
D{l:13,t:0,i:235},
D{l:13,t:0,i:254},
D{l:15,t:0,i:143},
D{l:143,t:0,i:146},
D{l:140,t:0,i:49},
D{l:134,t:0,i:1832},
D{l:4,t:11,i:227},
D{l:5,t:11,i:159},
D{l:5,t:11,i:409},
D{l:7,t:11,i:80},
D{l:10,t:11,i:294},
D{l:10,t:11,i:479},
D{l:12,t:11,i:418},
D{l:14,t:11,i:50},
D{l:14,t:11,i:249},
D{l:142,t:11,i:295},
D{l:7,t:11,i:1470},
D{l:8,t:11,i:66},
D{l:8,t:11,i:137},
D{l:8,t:11,i:761},
D{l:9,t:11,i:638},
D{l:11,t:11,i:80},
D{l:11,t:11,i:212},
D{l:11,t:11,i:368},
D{l:11,t:11,i:418},
D{l:12,t:11,i:8},
D{l:13,t:11,i:15},
D{l:16,t:11,i:61},
D{l:17,t:11,i:59},
D{l:19,t:11,i:28},
D{l:148,t:11,i:84},
D{l:139,t:10,i:1015},
D{l:138,t:11,i:468},
D{l:135,t:0,i:421},
D{l:6,t:0,i:415},
D{l:7,t:0,i:1049},
D{l:137,t:0,i:442},
D{l:6,t:11,i:38},
D{l:7,t:11,i:1220},
D{l:8,t:11,i:185},
D{l:8,t:11,i:256},
D{l:9,t:11,i:22},
D{l:9,t:11,i:331},
D{l:10,t:11,i:738},
D{l:11,t:11,i:205},
D{l:11,t:11,i:540},
D{l:11,t:11,i:746},
D{l:13,t:11,i:399},
D{l:13,t:11,i:465},
D{l:14,t:11,i:88},
D{l:142,t:11,i:194},
D{l:139,t:0,i:289},
D{l:133,t:10,i:715},
D{l:4,t:0,i:110},
D{l:10,t:0,i:415},
D{l:10,t:0,i:597},
D{l:142,t:0,i:206},
D{l:4,t:11,i:159},
D{l:6,t:11,i:115},
D{l:7,t:11,i:252},
D{l:7,t:11,i:257},
D{l:7,t:11,i:1928},
D{l:8,t:11,i:69},
D{l:9,t:11,i:384},
D{l:10,t:11,i:91},
D{l:10,t:11,i:615},
D{l:12,t:11,i:375},
D{l:14,t:11,i:235},
D{l:18,t:11,i:117},
D{l:147,t:11,i:123},
D{l:5,t:11,i:911},
D{l:136,t:11,i:278},
D{l:7,t:0,i:205},
D{l:7,t:0,i:2000},
D{l:8,t:10,i:794},
D{l:9,t:10,i:400},
D{l:10,t:10,i:298},
D{l:142,t:10,i:228},
D{l:135,t:11,i:1774},
D{l:4,t:11,i:151},
D{l:7,t:11,i:1567},
D{l:8,t:11,i:351},
D{l:137,t:11,i:322},
D{l:136,t:10,i:724},
D{l:133,t:11,i:990},
D{l:7,t:0,i:1539},
D{l:11,t:0,i:512},
D{l:13,t:0,i:205},
D{l:19,t:0,i:30},
D{l:22,t:0,i:36},
D{l:23,t:0,i:19},
D{l:135,t:11,i:1539},
D{l:5,t:11,i:194},
D{l:7,t:11,i:1662},
D{l:9,t:11,i:90},
D{l:140,t:11,i:180},
D{l:6,t:10,i:190},
D{l:7,t:10,i:768},
D{l:135,t:10,i:1170},
D{l:134,t:0,i:1340},
D{l:4,t:0,i:283},
D{l:135,t:0,i:1194},
D{l:133,t:11,i:425},
D{l:133,t:11,i:971},
D{l:12,t:0,i:549},
D{l:14,t:10,i:67},
D{l:147,t:10,i:60},
D{l:135,t:10,i:1023},
D{l:134,t:0,i:1720},
D{l:138,t:11,i:587},
D{l:5,t:11,i:72},
D{l:6,t:11,i:264},
D{l:7,t:11,i:21},
D{l:7,t:11,i:46},
D{l:7,t:11,i:2013},
D{l:8,t:11,i:215},
D{l:8,t:11,i:513},
D{l:10,t:11,i:266},
D{l:139,t:11,i:22},
D{l:5,t:0,i:319},
D{l:135,t:0,i:534},
D{l:6,t:10,i:137},
D{l:9,t:10,i:75},
D{l:9,t:10,i:253},
D{l:10,t:10,i:194},
D{l:138,t:10,i:444},
D{l:7,t:0,i:1180},
D{l:20,t:0,i:112},
D{l:6,t:11,i:239},
D{l:7,t:11,i:118},
D{l:10,t:11,i:95},
D{l:11,t:11,i:603},
D{l:13,t:11,i:443},
D{l:14,t:11,i:160},
D{l:143,t:11,i:4},
D{l:134,t:11,i:431},
D{l:5,t:11,i:874},
D{l:6,t:11,i:1677},
D{l:11,t:10,i:643},
D{l:12,t:10,i:115},
D{l:143,t:11,i:0},
D{l:134,t:0,i:967},
D{l:6,t:11,i:65},
D{l:7,t:11,i:939},
D{l:7,t:11,i:1172},
D{l:7,t:11,i:1671},
D{l:9,t:11,i:540},
D{l:10,t:11,i:696},
D{l:11,t:11,i:265},
D{l:11,t:11,i:732},
D{l:11,t:11,i:928},
D{l:11,t:11,i:937},
D{l:12,t:11,i:399},
D{l:13,t:11,i:438},
D{l:149,t:11,i:19},
D{l:137,t:11,i:200},
D{l:135,t:0,i:1940},
D{l:5,t:10,i:760},
D{l:7,t:10,i:542},
D{l:8,t:10,i:135},
D{l:136,t:10,i:496},
D{l:140,t:11,i:44},
D{l:7,t:11,i:1655},
D{l:136,t:11,i:305},
D{l:7,t:10,i:319},
D{l:7,t:10,i:355},
D{l:7,t:10,i:763},
D{l:10,t:10,i:389},
D{l:145,t:10,i:43},
D{l:136,t:0,i:735},
D{l:138,t:10,i:786},
D{l:137,t:11,i:19},
D{l:132,t:11,i:696},
D{l:5,t:0,i:132},
D{l:9,t:0,i:486},
D{l:9,t:0,i:715},
D{l:10,t:0,i:458},
D{l:11,t:0,i:373},
D{l:11,t:0,i:668},
D{l:11,t:0,i:795},
D{l:11,t:0,i:897},
D{l:12,t:0,i:272},
D{l:12,t:0,i:424},
D{l:12,t:0,i:539},
D{l:12,t:0,i:558},
D{l:14,t:0,i:245},
D{l:14,t:0,i:263},
D{l:14,t:0,i:264},
D{l:14,t:0,i:393},
D{l:142,t:0,i:403},
D{l:10,t:0,i:38},
D{l:139,t:0,i:784},
D{l:132,t:0,i:838},
D{l:4,t:11,i:302},
D{l:135,t:11,i:1766},
D{l:133,t:0,i:379},
D{l:5,t:0,i:8},
D{l:6,t:0,i:89},
D{l:6,t:0,i:400},
D{l:7,t:0,i:1569},
D{l:7,t:0,i:1623},
D{l:7,t:0,i:1850},
D{l:8,t:0,i:218},
D{l:8,t:0,i:422},
D{l:9,t:0,i:570},
D{l:10,t:0,i:626},
D{l:4,t:11,i:726},
D{l:133,t:11,i:630},
D{l:4,t:0,i:1017},
D{l:138,t:0,i:660},
D{l:6,t:0,i:387},
D{l:7,t:0,i:882},
D{l:141,t:0,i:111},
D{l:6,t:0,i:224},
D{l:7,t:0,i:877},
D{l:137,t:0,i:647},
D{l:4,t:10,i:58},
D{l:5,t:10,i:286},
D{l:6,t:10,i:319},
D{l:7,t:10,i:402},
D{l:7,t:10,i:1254},
D{l:7,t:10,i:1903},
D{l:8,t:10,i:356},
D{l:140,t:10,i:408},
D{l:135,t:0,i:790},
D{l:9,t:0,i:510},
D{l:10,t:0,i:53},
D{l:4,t:10,i:389},
D{l:9,t:10,i:181},
D{l:10,t:10,i:29},
D{l:10,t:10,i:816},
D{l:11,t:10,i:311},
D{l:11,t:10,i:561},
D{l:12,t:10,i:67},
D{l:141,t:10,i:181},
D{l:142,t:0,i:458},
D{l:6,t:11,i:118},
D{l:7,t:11,i:215},
D{l:7,t:11,i:1521},
D{l:140,t:11,i:11},
D{l:134,t:0,i:954},
D{l:135,t:0,i:394},
D{l:134,t:0,i:1367},
D{l:5,t:11,i:225},
D{l:133,t:10,i:373},
D{l:132,t:0,i:882},
D{l:7,t:0,i:1409},
D{l:135,t:10,i:1972},
D{l:135,t:10,i:1793},
D{l:4,t:11,i:370},
D{l:5,t:11,i:756},
D{l:135,t:11,i:1326},
D{l:150,t:11,i:13},
D{l:7,t:11,i:354},
D{l:10,t:11,i:410},
D{l:139,t:11,i:815},
D{l:6,t:11,i:1662},
D{l:7,t:11,i:48},
D{l:8,t:11,i:771},
D{l:10,t:11,i:116},
D{l:13,t:11,i:104},
D{l:14,t:11,i:105},
D{l:14,t:11,i:184},
D{l:15,t:11,i:168},
D{l:19,t:11,i:92},
D{l:148,t:11,i:68},
D{l:7,t:0,i:124},
D{l:136,t:0,i:38},
D{l:5,t:0,i:261},
D{l:7,t:0,i:78},
D{l:7,t:0,i:199},
D{l:8,t:0,i:815},
D{l:9,t:0,i:126},
D{l:10,t:0,i:342},
D{l:140,t:0,i:647},
D{l:4,t:0,i:628},
D{l:140,t:0,i:724},
D{l:7,t:0,i:266},
D{l:8,t:0,i:804},
D{l:7,t:10,i:1651},
D{l:145,t:10,i:89},
D{l:135,t:0,i:208},
D{l:134,t:0,i:1178},
D{l:6,t:0,i:79},
D{l:135,t:0,i:1519},
D{l:132,t:10,i:672},
D{l:133,t:10,i:737},
D{l:136,t:0,i:741},
D{l:132,t:11,i:120},
D{l:4,t:0,i:710},
D{l:6,t:0,i:376},
D{l:134,t:0,i:606},
D{l:134,t:0,i:1347},
D{l:134,t:0,i:1494},
D{l:6,t:0,i:850},
D{l:6,t:0,i:1553},
D{l:137,t:0,i:821},
D{l:5,t:10,i:145},
D{l:134,t:11,i:593},
D{l:7,t:0,i:1311},
D{l:140,t:0,i:135},
D{l:4,t:0,i:467},
D{l:5,t:0,i:405},
D{l:134,t:0,i:544},
D{l:5,t:11,i:820},
D{l:135,t:11,i:931},
D{l:6,t:0,i:100},
D{l:7,t:0,i:244},
D{l:7,t:0,i:632},
D{l:7,t:0,i:1609},
D{l:8,t:0,i:178},
D{l:8,t:0,i:638},
D{l:141,t:0,i:58},
D{l:4,t:10,i:387},
D{l:135,t:10,i:1288},
D{l:6,t:11,i:151},
D{l:6,t:11,i:1675},
D{l:7,t:11,i:383},
D{l:151,t:11,i:10},
D{l:132,t:0,i:481},
D{l:135,t:10,i:550},
D{l:134,t:0,i:1378},
D{l:6,t:11,i:1624},
D{l:11,t:11,i:11},
D{l:12,t:11,i:422},
D{l:13,t:11,i:262},
D{l:142,t:11,i:360},
D{l:133,t:0,i:791},
D{l:4,t:11,i:43},
D{l:5,t:11,i:344},
D{l:133,t:11,i:357},
D{l:7,t:0,i:1227},
D{l:140,t:0,i:978},
D{l:7,t:0,i:686},
D{l:8,t:0,i:33},
D{l:8,t:0,i:238},
D{l:10,t:0,i:616},
D{l:11,t:0,i:467},
D{l:11,t:0,i:881},
D{l:13,t:0,i:217},
D{l:13,t:0,i:253},
D{l:142,t:0,i:268},
D{l:137,t:0,i:857},
D{l:8,t:0,i:467},
D{l:8,t:0,i:1006},
D{l:7,t:11,i:148},
D{l:8,t:11,i:284},
D{l:141,t:11,i:63},
D{l:4,t:10,i:576},
D{l:135,t:10,i:1263},
D{l:133,t:11,i:888},
D{l:5,t:10,i:919},
D{l:134,t:10,i:1673},
D{l:20,t:10,i:37},
D{l:148,t:11,i:37},
D{l:132,t:0,i:447},
D{l:132,t:11,i:711},
D{l:4,t:0,i:128},
D{l:5,t:0,i:415},
D{l:6,t:0,i:462},
D{l:7,t:0,i:294},
D{l:7,t:0,i:578},
D{l:10,t:0,i:710},
D{l:139,t:0,i:86},
D{l:4,t:10,i:82},
D{l:5,t:10,i:333},
D{l:5,t:10,i:904},
D{l:6,t:10,i:207},
D{l:7,t:10,i:325},
D{l:7,t:10,i:1726},
D{l:8,t:10,i:101},
D{l:10,t:10,i:778},
D{l:139,t:10,i:220},
D{l:136,t:0,i:587},
D{l:137,t:11,i:440},
D{l:133,t:10,i:903},
D{l:6,t:0,i:427},
D{l:7,t:0,i:1018},
D{l:138,t:0,i:692},
D{l:4,t:0,i:195},
D{l:135,t:0,i:802},
D{l:140,t:10,i:147},
D{l:134,t:0,i:1546},
D{l:134,t:0,i:684},
D{l:132,t:10,i:705},
D{l:136,t:0,i:345},
D{l:11,t:11,i:678},
D{l:140,t:11,i:307},
D{l:133,t:0,i:365},
D{l:134,t:0,i:1683},
D{l:4,t:11,i:65},
D{l:5,t:11,i:479},
D{l:5,t:11,i:1004},
D{l:7,t:11,i:1913},
D{l:8,t:11,i:317},
D{l:9,t:11,i:302},
D{l:10,t:11,i:612},
D{l:141,t:11,i:22},
D{l:138,t:0,i:472},
D{l:4,t:11,i:261},
D{l:135,t:11,i:510},
D{l:134,t:10,i:90},
D{l:142,t:0,i:433},
D{l:151,t:0,i:28},
D{l:4,t:11,i:291},
D{l:7,t:11,i:101},
D{l:9,t:11,i:515},
D{l:12,t:11,i:152},
D{l:12,t:11,i:443},
D{l:13,t:11,i:392},
D{l:142,t:11,i:357},
D{l:140,t:0,i:997},
D{l:5,t:0,i:3},
D{l:8,t:0,i:578},
D{l:9,t:0,i:118},
D{l:10,t:0,i:705},
D{l:141,t:0,i:279},
D{l:135,t:11,i:1266},
D{l:7,t:10,i:813},
D{l:12,t:10,i:497},
D{l:141,t:10,i:56},
D{l:133,t:0,i:229},
D{l:6,t:10,i:125},
D{l:135,t:10,i:1277},
D{l:8,t:0,i:102},
D{l:10,t:0,i:578},
D{l:10,t:0,i:672},
D{l:12,t:0,i:496},
D{l:13,t:0,i:408},
D{l:14,t:0,i:121},
D{l:17,t:0,i:106},
D{l:151,t:10,i:12},
D{l:6,t:0,i:866},
D{l:134,t:0,i:1080},
D{l:136,t:0,i:1022},
D{l:4,t:11,i:130},
D{l:135,t:11,i:843},
D{l:5,t:11,i:42},
D{l:5,t:11,i:879},
D{l:7,t:11,i:245},
D{l:7,t:11,i:324},
D{l:7,t:11,i:1532},
D{l:11,t:11,i:463},
D{l:11,t:11,i:472},
D{l:13,t:11,i:363},
D{l:144,t:11,i:52},
D{l:150,t:0,i:55},
D{l:8,t:0,i:115},
D{l:8,t:0,i:350},
D{l:9,t:0,i:489},
D{l:10,t:0,i:128},
D{l:11,t:0,i:306},
D{l:12,t:0,i:373},
D{l:14,t:0,i:30},
D{l:17,t:0,i:79},
D{l:19,t:0,i:80},
D{l:4,t:11,i:134},
D{l:133,t:11,i:372},
D{l:134,t:0,i:657},
D{l:134,t:0,i:933},
D{l:135,t:11,i:1147},
D{l:4,t:0,i:230},
D{l:133,t:0,i:702},
D{l:134,t:0,i:1728},
D{l:4,t:0,i:484},
D{l:18,t:0,i:26},
D{l:19,t:0,i:42},
D{l:20,t:0,i:43},
D{l:21,t:0,i:0},
D{l:23,t:0,i:27},
D{l:152,t:0,i:14},
D{l:7,t:0,i:185},
D{l:135,t:0,i:703},
D{l:6,t:0,i:417},
D{l:10,t:0,i:618},
D{l:7,t:10,i:1106},
D{l:9,t:10,i:770},
D{l:11,t:10,i:112},
D{l:140,t:10,i:413},
D{l:134,t:0,i:803},
D{l:132,t:11,i:644},
D{l:134,t:0,i:1262},
D{l:7,t:11,i:540},
D{l:12,t:10,i:271},
D{l:145,t:10,i:109},
D{l:135,t:11,i:123},
D{l:132,t:0,i:633},
D{l:134,t:11,i:623},
D{l:4,t:11,i:908},
D{l:5,t:11,i:359},
D{l:5,t:11,i:508},
D{l:6,t:11,i:1723},
D{l:7,t:11,i:343},
D{l:7,t:11,i:1996},
D{l:135,t:11,i:2026},
D{l:135,t:0,i:479},
D{l:10,t:0,i:262},
D{l:7,t:10,i:304},
D{l:9,t:10,i:646},
D{l:9,t:10,i:862},
D{l:11,t:10,i:696},
D{l:12,t:10,i:208},
D{l:15,t:10,i:79},
D{l:147,t:10,i:108},
D{l:4,t:11,i:341},
D{l:135,t:11,i:480},
D{l:134,t:0,i:830},
D{l:5,t:0,i:70},
D{l:5,t:0,i:622},
D{l:6,t:0,i:334},
D{l:7,t:0,i:1032},
D{l:9,t:0,i:171},
D{l:11,t:0,i:26},
D{l:11,t:0,i:213},
D{l:11,t:0,i:637},
D{l:11,t:0,i:707},
D{l:12,t:0,i:202},
D{l:12,t:0,i:380},
D{l:13,t:0,i:226},
D{l:13,t:0,i:355},
D{l:14,t:0,i:222},
D{l:145,t:0,i:42},
D{l:135,t:10,i:981},
D{l:143,t:0,i:217},
D{l:137,t:11,i:114},
D{l:4,t:0,i:23},
D{l:4,t:0,i:141},
D{l:5,t:0,i:313},
D{l:5,t:0,i:1014},
D{l:6,t:0,i:50},
D{l:6,t:0,i:51},
D{l:7,t:0,i:142},
D{l:7,t:0,i:384},
D{l:7,t:0,i:559},
D{l:8,t:0,i:640},
D{l:9,t:0,i:460},
D{l:9,t:0,i:783},
D{l:11,t:0,i:741},
D{l:12,t:0,i:183},
D{l:141,t:0,i:488},
D{l:141,t:0,i:360},
D{l:7,t:0,i:1586},
D{l:7,t:11,i:1995},
D{l:8,t:11,i:299},
D{l:11,t:11,i:890},
D{l:140,t:11,i:674},
D{l:132,t:10,i:434},
D{l:7,t:0,i:652},
D{l:134,t:10,i:550},
D{l:7,t:0,i:766},
D{l:5,t:10,i:553},
D{l:138,t:10,i:824},
D{l:7,t:0,i:737},
D{l:8,t:0,i:298},
D{l:136,t:10,i:452},
D{l:4,t:11,i:238},
D{l:5,t:11,i:503},
D{l:6,t:11,i:179},
D{l:7,t:11,i:2003},
D{l:8,t:11,i:381},
D{l:8,t:11,i:473},
D{l:9,t:11,i:149},
D{l:10,t:11,i:183},
D{l:15,t:11,i:45},
D{l:143,t:11,i:86},
D{l:133,t:10,i:292},
D{l:5,t:0,i:222},
D{l:9,t:0,i:655},
D{l:138,t:0,i:534},
D{l:138,t:10,i:135},
D{l:4,t:11,i:121},
D{l:5,t:11,i:156},
D{l:5,t:11,i:349},
D{l:9,t:11,i:136},
D{l:10,t:11,i:605},
D{l:14,t:11,i:342},
D{l:147,t:11,i:107},
D{l:137,t:0,i:906},
D{l:6,t:0,i:1013},
D{l:134,t:0,i:1250},
D{l:6,t:0,i:1956},
D{l:6,t:0,i:2009},
D{l:8,t:0,i:991},
D{l:144,t:0,i:120},
D{l:135,t:11,i:1192},
D{l:138,t:0,i:503},
D{l:5,t:0,i:154},
D{l:7,t:0,i:1491},
D{l:10,t:0,i:379},
D{l:138,t:0,i:485},
D{l:6,t:0,i:1867},
D{l:6,t:0,i:1914},
D{l:6,t:0,i:1925},
D{l:9,t:0,i:917},
D{l:9,t:0,i:925},
D{l:9,t:0,i:932},
D{l:9,t:0,i:951},
D{l:9,t:0,i:1007},
D{l:9,t:0,i:1013},
D{l:12,t:0,i:806},
D{l:12,t:0,i:810},
D{l:12,t:0,i:814},
D{l:12,t:0,i:816},
D{l:12,t:0,i:824},
D{l:12,t:0,i:832},
D{l:12,t:0,i:837},
D{l:12,t:0,i:863},
D{l:12,t:0,i:868},
D{l:12,t:0,i:870},
D{l:12,t:0,i:889},
D{l:12,t:0,i:892},
D{l:12,t:0,i:900},
D{l:12,t:0,i:902},
D{l:12,t:0,i:908},
D{l:12,t:0,i:933},
D{l:12,t:0,i:942},
D{l:12,t:0,i:949},
D{l:12,t:0,i:954},
D{l:15,t:0,i:175},
D{l:15,t:0,i:203},
D{l:15,t:0,i:213},
D{l:15,t:0,i:218},
D{l:15,t:0,i:225},
D{l:15,t:0,i:231},
D{l:15,t:0,i:239},
D{l:15,t:0,i:248},
D{l:15,t:0,i:252},
D{l:18,t:0,i:190},
D{l:18,t:0,i:204},
D{l:18,t:0,i:215},
D{l:18,t:0,i:216},
D{l:18,t:0,i:222},
D{l:18,t:0,i:225},
D{l:18,t:0,i:230},
D{l:18,t:0,i:239},
D{l:18,t:0,i:241},
D{l:21,t:0,i:42},
D{l:21,t:0,i:43},
D{l:21,t:0,i:44},
D{l:21,t:0,i:45},
D{l:21,t:0,i:46},
D{l:21,t:0,i:53},
D{l:24,t:0,i:27},
D{l:152,t:0,i:31},
D{l:133,t:0,i:716},
D{l:135,t:0,i:844},
D{l:4,t:0,i:91},
D{l:5,t:0,i:388},
D{l:5,t:0,i:845},
D{l:6,t:0,i:206},
D{l:6,t:0,i:252},
D{l:6,t:0,i:365},
D{l:7,t:0,i:136},
D{l:7,t:0,i:531},
D{l:136,t:0,i:621},
D{l:7,t:10,i:393},
D{l:10,t:10,i:603},
D{l:139,t:10,i:206},
D{l:6,t:11,i:80},
D{l:6,t:11,i:1694},
D{l:7,t:11,i:173},
D{l:7,t:11,i:1974},
D{l:9,t:11,i:547},
D{l:10,t:11,i:730},
D{l:14,t:11,i:18},
D{l:150,t:11,i:39},
D{l:137,t:0,i:748},
D{l:4,t:11,i:923},
D{l:134,t:11,i:1711},
D{l:4,t:10,i:912},
D{l:137,t:10,i:232},
D{l:7,t:10,i:98},
D{l:7,t:10,i:1973},
D{l:136,t:10,i:716},
D{l:14,t:0,i:103},
D{l:133,t:10,i:733},
D{l:132,t:11,i:595},
D{l:12,t:0,i:158},
D{l:18,t:0,i:8},
D{l:19,t:0,i:62},
D{l:20,t:0,i:6},
D{l:22,t:0,i:4},
D{l:23,t:0,i:2},
D{l:23,t:0,i:9},
D{l:5,t:11,i:240},
D{l:6,t:11,i:459},
D{l:7,t:11,i:12},
D{l:7,t:11,i:114},
D{l:7,t:11,i:502},
D{l:7,t:11,i:1751},
D{l:7,t:11,i:1753},
D{l:7,t:11,i:1805},
D{l:8,t:11,i:658},
D{l:9,t:11,i:1},
D{l:11,t:11,i:959},
D{l:13,t:11,i:446},
D{l:142,t:11,i:211},
D{l:135,t:0,i:576},
D{l:5,t:0,i:771},
D{l:5,t:0,i:863},
D{l:5,t:0,i:898},
D{l:6,t:0,i:648},
D{l:6,t:0,i:1632},
D{l:6,t:0,i:1644},
D{l:134,t:0,i:1780},
D{l:133,t:0,i:331},
D{l:7,t:11,i:633},
D{l:7,t:11,i:905},
D{l:7,t:11,i:909},
D{l:7,t:11,i:1538},
D{l:9,t:11,i:767},
D{l:140,t:11,i:636},
D{l:140,t:0,i:632},
D{l:5,t:0,i:107},
D{l:7,t:0,i:201},
D{l:136,t:0,i:518},
D{l:6,t:0,i:446},
D{l:7,t:0,i:1817},
D{l:134,t:11,i:490},
D{l:9,t:0,i:851},
D{l:141,t:0,i:510},
D{l:7,t:11,i:250},
D{l:8,t:11,i:506},
D{l:136,t:11,i:507},
D{l:4,t:0,i:504},
D{l:137,t:10,i:72},
D{l:132,t:11,i:158},
D{l:4,t:11,i:140},
D{l:7,t:11,i:362},
D{l:8,t:11,i:209},
D{l:9,t:11,i:10},
D{l:9,t:11,i:160},
D{l:9,t:11,i:503},
D{l:10,t:11,i:689},
D{l:11,t:11,i:350},
D{l:11,t:11,i:553},
D{l:11,t:11,i:725},
D{l:12,t:11,i:252},
D{l:12,t:11,i:583},
D{l:13,t:11,i:192},
D{l:13,t:11,i:352},
D{l:14,t:11,i:269},
D{l:14,t:11,i:356},
D{l:148,t:11,i:50},
D{l:6,t:11,i:597},
D{l:135,t:11,i:1318},
D{l:135,t:10,i:1454},
D{l:5,t:0,i:883},
D{l:5,t:0,i:975},
D{l:8,t:0,i:392},
D{l:148,t:0,i:7},
D{l:6,t:11,i:228},
D{l:7,t:11,i:1341},
D{l:9,t:11,i:408},
D{l:138,t:11,i:343},
D{l:11,t:11,i:348},
D{l:11,t:10,i:600},
D{l:12,t:11,i:99},
D{l:13,t:10,i:245},
D{l:18,t:11,i:1},
D{l:18,t:11,i:11},
D{l:147,t:11,i:4},
D{l:134,t:11,i:296},
D{l:5,t:0,i:922},
D{l:134,t:0,i:1707},
D{l:132,t:11,i:557},
D{l:4,t:11,i:548},
D{l:7,t:10,i:164},
D{l:7,t:10,i:1571},
D{l:9,t:10,i:107},
D{l:140,t:10,i:225},
D{l:7,t:11,i:197},
D{l:8,t:11,i:142},
D{l:8,t:11,i:325},
D{l:9,t:11,i:150},
D{l:9,t:11,i:596},
D{l:10,t:11,i:350},
D{l:10,t:11,i:353},
D{l:11,t:11,i:74},
D{l:11,t:11,i:315},
D{l:14,t:11,i:423},
D{l:143,t:11,i:141},
D{l:5,t:0,i:993},
D{l:7,t:0,i:515},
D{l:137,t:0,i:91},
D{l:4,t:0,i:131},
D{l:8,t:0,i:200},
D{l:5,t:10,i:484},
D{l:5,t:10,i:510},
D{l:6,t:10,i:434},
D{l:7,t:10,i:1000},
D{l:7,t:10,i:1098},
D{l:136,t:10,i:2},
D{l:152,t:0,i:10},
D{l:4,t:11,i:62},
D{l:5,t:11,i:83},
D{l:6,t:11,i:399},
D{l:6,t:11,i:579},
D{l:7,t:11,i:692},
D{l:7,t:11,i:846},
D{l:7,t:11,i:1015},
D{l:7,t:11,i:1799},
D{l:8,t:11,i:403},
D{l:9,t:11,i:394},
D{l:10,t:11,i:133},
D{l:12,t:11,i:4},
D{l:12,t:11,i:297},
D{l:12,t:11,i:452},
D{l:16,t:11,i:81},
D{l:18,t:11,i:19},
D{l:18,t:11,i:25},
D{l:21,t:11,i:14},
D{l:22,t:11,i:12},
D{l:151,t:11,i:18},
D{l:140,t:11,i:459},
D{l:132,t:11,i:177},
D{l:7,t:0,i:1433},
D{l:9,t:0,i:365},
D{l:137,t:11,i:365},
D{l:132,t:10,i:460},
D{l:5,t:0,i:103},
D{l:6,t:0,i:2004},
D{l:7,t:0,i:921},
D{l:8,t:0,i:580},
D{l:8,t:0,i:593},
D{l:8,t:0,i:630},
D{l:10,t:0,i:28},
D{l:5,t:11,i:411},
D{l:135,t:11,i:653},
D{l:4,t:10,i:932},
D{l:133,t:10,i:891},
D{l:4,t:0,i:911},
D{l:5,t:0,i:867},
D{l:5,t:0,i:1013},
D{l:7,t:0,i:2034},
D{l:8,t:0,i:798},
D{l:136,t:0,i:813},
D{l:7,t:11,i:439},
D{l:10,t:11,i:727},
D{l:11,t:11,i:260},
D{l:139,t:11,i:684},
D{l:136,t:10,i:625},
D{l:5,t:11,i:208},
D{l:7,t:11,i:753},
D{l:135,t:11,i:1528},
D{l:5,t:0,i:461},
D{l:7,t:0,i:1925},
D{l:12,t:0,i:39},
D{l:13,t:0,i:265},
D{l:13,t:0,i:439},
D{l:134,t:10,i:76},
D{l:6,t:0,i:853},
D{l:8,t:10,i:92},
D{l:137,t:10,i:221},
D{l:5,t:0,i:135},
D{l:6,t:0,i:519},
D{l:7,t:0,i:1722},
D{l:10,t:0,i:271},
D{l:11,t:0,i:261},
D{l:145,t:0,i:54},
D{l:139,t:11,i:814},
D{l:14,t:0,i:338},
D{l:148,t:0,i:81},
D{l:4,t:0,i:300},
D{l:133,t:0,i:436},
D{l:5,t:0,i:419},
D{l:5,t:0,i:687},
D{l:7,t:0,i:864},
D{l:9,t:0,i:470},
D{l:135,t:11,i:864},
D{l:9,t:0,i:836},
D{l:133,t:11,i:242},
D{l:134,t:0,i:1937},
D{l:4,t:10,i:763},
D{l:133,t:11,i:953},
D{l:132,t:10,i:622},
D{l:132,t:0,i:393},
D{l:133,t:10,i:253},
D{l:8,t:0,i:357},
D{l:10,t:0,i:745},
D{l:14,t:0,i:426},
D{l:17,t:0,i:94},
D{l:19,t:0,i:57},
D{l:135,t:10,i:546},
D{l:5,t:11,i:615},
D{l:146,t:11,i:37},
D{l:9,t:10,i:73},
D{l:10,t:10,i:110},
D{l:14,t:10,i:185},
D{l:145,t:10,i:119},
D{l:11,t:0,i:703},
D{l:7,t:10,i:624},
D{l:7,t:10,i:916},
D{l:10,t:10,i:256},
D{l:139,t:10,i:87},
D{l:133,t:11,i:290},
D{l:5,t:10,i:212},
D{l:12,t:10,i:35},
D{l:141,t:10,i:382},
D{l:132,t:11,i:380},
D{l:5,t:11,i:52},
D{l:7,t:11,i:277},
D{l:9,t:11,i:368},
D{l:139,t:11,i:791},
D{l:133,t:0,i:387},
D{l:10,t:11,i:138},
D{l:139,t:11,i:476},
D{l:4,t:0,i:6},
D{l:5,t:0,i:708},
D{l:136,t:0,i:75},
D{l:7,t:0,i:1351},
D{l:9,t:0,i:581},
D{l:10,t:0,i:639},
D{l:11,t:0,i:453},
D{l:140,t:0,i:584},
D{l:132,t:0,i:303},
D{l:138,t:0,i:772},
D{l:135,t:10,i:1175},
D{l:4,t:0,i:749},
D{l:5,t:10,i:816},
D{l:6,t:11,i:256},
D{l:7,t:11,i:307},
D{l:7,t:11,i:999},
D{l:7,t:11,i:1481},
D{l:7,t:11,i:1732},
D{l:7,t:11,i:1738},
D{l:8,t:11,i:265},
D{l:9,t:11,i:414},
D{l:11,t:11,i:316},
D{l:12,t:11,i:52},
D{l:13,t:11,i:420},
D{l:147,t:11,i:100},
D{l:135,t:11,i:1296},
D{l:6,t:0,i:1065},
D{l:5,t:10,i:869},
D{l:5,t:10,i:968},
D{l:6,t:10,i:1626},
D{l:8,t:10,i:734},
D{l:136,t:10,i:784},
D{l:4,t:10,i:542},
D{l:6,t:10,i:1716},
D{l:6,t:10,i:1727},
D{l:7,t:10,i:1082},
D{l:7,t:10,i:1545},
D{l:8,t:10,i:56},
D{l:8,t:10,i:118},
D{l:8,t:10,i:412},
D{l:8,t:10,i:564},
D{l:9,t:10,i:888},
D{l:9,t:10,i:908},
D{l:10,t:10,i:50},
D{l:10,t:10,i:423},
D{l:11,t:10,i:685},
D{l:11,t:10,i:697},
D{l:11,t:10,i:933},
D{l:12,t:10,i:299},
D{l:13,t:10,i:126},
D{l:13,t:10,i:136},
D{l:13,t:10,i:170},
D{l:141,t:10,i:190},
D{l:134,t:0,i:226},
D{l:4,t:0,i:106},
D{l:7,t:0,i:310},
D{l:11,t:0,i:717},
D{l:133,t:11,i:723},
D{l:5,t:0,i:890},
D{l:5,t:0,i:988},
D{l:4,t:10,i:232},
D{l:9,t:10,i:202},
D{l:10,t:10,i:474},
D{l:140,t:10,i:433},
D{l:6,t:0,i:626},
D{l:142,t:0,i:431},
D{l:10,t:0,i:706},
D{l:150,t:0,i:44},
D{l:13,t:0,i:51},
D{l:6,t:10,i:108},
D{l:7,t:10,i:1003},
D{l:7,t:10,i:1181},
D{l:8,t:10,i:111},
D{l:136,t:10,i:343},
D{l:132,t:0,i:698},
D{l:5,t:11,i:109},
D{l:6,t:11,i:1784},
D{l:7,t:11,i:1895},
D{l:12,t:11,i:296},
D{l:140,t:11,i:302},
D{l:134,t:0,i:828},
D{l:134,t:10,i:1712},
D{l:138,t:0,i:17},
D{l:7,t:0,i:1929},
D{l:4,t:10,i:133},
D{l:5,t:11,i:216},
D{l:7,t:10,i:711},
D{l:7,t:10,i:1298},
D{l:7,t:10,i:1585},
D{l:7,t:11,i:1879},
D{l:9,t:11,i:141},
D{l:9,t:11,i:270},
D{l:9,t:11,i:679},
D{l:10,t:11,i:159},
D{l:10,t:11,i:553},
D{l:11,t:11,i:197},
D{l:11,t:11,i:438},
D{l:12,t:11,i:538},
D{l:12,t:11,i:559},
D{l:13,t:11,i:193},
D{l:13,t:11,i:423},
D{l:14,t:11,i:144},
D{l:14,t:11,i:166},
D{l:14,t:11,i:167},
D{l:15,t:11,i:67},
D{l:147,t:11,i:84},
D{l:141,t:11,i:127},
D{l:7,t:11,i:1872},
D{l:137,t:11,i:81},
D{l:6,t:10,i:99},
D{l:7,t:10,i:1808},
D{l:145,t:10,i:57},
D{l:134,t:11,i:391},
D{l:5,t:0,i:689},
D{l:6,t:0,i:84},
D{l:7,t:0,i:1250},
D{l:6,t:10,i:574},
D{l:7,t:10,i:428},
D{l:10,t:10,i:669},
D{l:11,t:10,i:485},
D{l:11,t:10,i:840},
D{l:12,t:10,i:300},
D{l:142,t:10,i:250},
D{l:7,t:11,i:322},
D{l:136,t:11,i:249},
D{l:7,t:11,i:432},
D{l:135,t:11,i:1649},
D{l:135,t:10,i:1871},
D{l:137,t:10,i:252},
D{l:6,t:11,i:155},
D{l:140,t:11,i:234},
D{l:7,t:0,i:871},
D{l:19,t:0,i:27},
D{l:147,t:11,i:27},
D{l:140,t:0,i:498},
D{l:5,t:0,i:986},
D{l:6,t:0,i:130},
D{l:138,t:0,i:823},
D{l:6,t:0,i:1793},
D{l:7,t:0,i:1582},
D{l:8,t:0,i:458},
D{l:10,t:0,i:101},
D{l:10,t:0,i:318},
D{l:10,t:0,i:945},
D{l:12,t:0,i:734},
D{l:16,t:0,i:104},
D{l:18,t:0,i:177},
D{l:6,t:10,i:323},
D{l:135,t:10,i:1564},
D{l:5,t:11,i:632},
D{l:138,t:11,i:526},
D{l:10,t:0,i:435},
D{l:7,t:10,i:461},
D{l:136,t:10,i:775},
D{l:6,t:11,i:144},
D{l:7,t:11,i:948},
D{l:7,t:11,i:1042},
D{l:7,t:11,i:1857},
D{l:8,t:11,i:235},
D{l:8,t:11,i:461},
D{l:9,t:11,i:453},
D{l:9,t:11,i:530},
D{l:10,t:11,i:354},
D{l:17,t:11,i:77},
D{l:19,t:11,i:99},
D{l:148,t:11,i:79},
D{l:138,t:0,i:966},
D{l:7,t:0,i:1644},
D{l:137,t:0,i:129},
D{l:135,t:0,i:997},
D{l:136,t:0,i:502},
D{l:5,t:11,i:196},
D{l:6,t:11,i:486},
D{l:7,t:11,i:212},
D{l:8,t:11,i:309},
D{l:136,t:11,i:346},
D{l:7,t:10,i:727},
D{l:146,t:10,i:73},
D{l:132,t:0,i:823},
D{l:132,t:11,i:686},
D{l:135,t:0,i:1927},
D{l:4,t:0,i:762},
D{l:7,t:0,i:1756},
D{l:137,t:0,i:98},
D{l:136,t:10,i:577},
D{l:24,t:0,i:8},
D{l:4,t:11,i:30},
D{l:5,t:11,i:43},
D{l:152,t:11,i:8},
D{l:7,t:0,i:1046},
D{l:139,t:0,i:160},
D{l:7,t:0,i:492},
D{l:4,t:10,i:413},
D{l:5,t:10,i:677},
D{l:7,t:11,i:492},
D{l:8,t:10,i:432},
D{l:140,t:10,i:280},
D{l:6,t:0,i:45},
D{l:7,t:0,i:433},
D{l:8,t:0,i:129},
D{l:9,t:0,i:21},
D{l:10,t:0,i:392},
D{l:11,t:0,i:79},
D{l:12,t:0,i:499},
D{l:13,t:0,i:199},
D{l:141,t:0,i:451},
D{l:7,t:0,i:558},
D{l:136,t:0,i:353},
D{l:4,t:11,i:220},
D{l:7,t:11,i:1535},
D{l:9,t:11,i:93},
D{l:139,t:11,i:474},
D{l:7,t:10,i:646},
D{l:7,t:10,i:1730},
D{l:11,t:10,i:446},
D{l:141,t:10,i:178},
D{l:133,t:0,i:785},
D{l:134,t:0,i:1145},
D{l:8,t:0,i:81},
D{l:9,t:0,i:189},
D{l:9,t:0,i:201},
D{l:11,t:0,i:478},
D{l:11,t:0,i:712},
D{l:141,t:0,i:338},
D{l:5,t:0,i:353},
D{l:151,t:0,i:26},
D{l:11,t:0,i:762},
D{l:132,t:10,i:395},
D{l:134,t:0,i:2024},
D{l:4,t:0,i:611},
D{l:133,t:0,i:606},
D{l:9,t:10,i:174},
D{l:10,t:10,i:164},
D{l:11,t:10,i:440},
D{l:11,t:10,i:841},
D{l:143,t:10,i:98},
D{l:134,t:10,i:426},
D{l:10,t:10,i:608},
D{l:139,t:10,i:1002},
D{l:138,t:10,i:250},
D{l:6,t:0,i:25},
D{l:7,t:0,i:855},
D{l:7,t:0,i:1258},
D{l:144,t:0,i:32},
D{l:7,t:11,i:1725},
D{l:138,t:11,i:393},
D{l:5,t:11,i:263},
D{l:134,t:11,i:414},
D{l:6,t:0,i:2011},
D{l:133,t:10,i:476},
D{l:4,t:0,i:4},
D{l:7,t:0,i:1118},
D{l:7,t:0,i:1320},
D{l:7,t:0,i:1706},
D{l:8,t:0,i:277},
D{l:9,t:0,i:622},
D{l:10,t:0,i:9},
D{l:11,t:0,i:724},
D{l:12,t:0,i:350},
D{l:12,t:0,i:397},
D{l:13,t:0,i:28},
D{l:13,t:0,i:159},
D{l:15,t:0,i:89},
D{l:18,t:0,i:5},
D{l:19,t:0,i:9},
D{l:20,t:0,i:34},
D{l:22,t:0,i:47},
D{l:6,t:11,i:178},
D{l:6,t:11,i:1750},
D{l:8,t:11,i:251},
D{l:9,t:11,i:690},
D{l:10,t:11,i:155},
D{l:10,t:11,i:196},
D{l:10,t:11,i:373},
D{l:11,t:11,i:698},
D{l:13,t:11,i:155},
D{l:148,t:11,i:93},
D{l:5,t:11,i:97},
D{l:137,t:11,i:393},
D{l:7,t:0,i:764},
D{l:11,t:0,i:461},
D{l:12,t:0,i:172},
D{l:5,t:10,i:76},
D{l:6,t:10,i:458},
D{l:6,t:10,i:497},
D{l:7,t:10,i:868},
D{l:9,t:10,i:658},
D{l:10,t:10,i:594},
D{l:11,t:10,i:566},
D{l:12,t:10,i:338},
D{l:141,t:10,i:200},
D{l:134,t:0,i:1449},
D{l:138,t:11,i:40},
D{l:134,t:11,i:1639},
D{l:134,t:0,i:1445},
D{l:6,t:0,i:1168},
D{l:4,t:10,i:526},
D{l:7,t:10,i:1029},
D{l:135,t:10,i:1054},
D{l:4,t:11,i:191},
D{l:7,t:11,i:934},
D{l:8,t:11,i:647},
D{l:145,t:11,i:97},
D{l:132,t:10,i:636},
D{l:6,t:0,i:233},
D{l:7,t:10,i:660},
D{l:7,t:10,i:1124},
D{l:17,t:10,i:31},
D{l:19,t:10,i:22},
D{l:151,t:10,i:14},
D{l:6,t:10,i:1699},
D{l:136,t:11,i:110},
D{l:12,t:11,i:246},
D{l:15,t:11,i:162},
D{l:19,t:11,i:64},
D{l:20,t:11,i:8},
D{l:20,t:11,i:95},
D{l:22,t:11,i:24},
D{l:152,t:11,i:17},
D{l:5,t:11,i:165},
D{l:9,t:11,i:346},
D{l:138,t:11,i:655},
D{l:5,t:11,i:319},
D{l:135,t:11,i:534},
D{l:134,t:0,i:255},
D{l:9,t:0,i:216},
D{l:8,t:11,i:128},
D{l:139,t:11,i:179},
D{l:9,t:0,i:183},
D{l:139,t:0,i:286},
D{l:11,t:0,i:956},
D{l:151,t:0,i:3},
D{l:4,t:0,i:536},
D{l:7,t:0,i:1141},
D{l:10,t:0,i:723},
D{l:139,t:0,i:371},
D{l:4,t:10,i:279},
D{l:7,t:10,i:301},
D{l:137,t:10,i:362},
D{l:7,t:0,i:285},
D{l:5,t:11,i:57},
D{l:6,t:11,i:101},
D{l:6,t:11,i:1663},
D{l:7,t:11,i:132},
D{l:7,t:11,i:1048},
D{l:7,t:11,i:1154},
D{l:7,t:11,i:1415},
D{l:7,t:11,i:1507},
D{l:12,t:11,i:493},
D{l:15,t:11,i:105},
D{l:151,t:11,i:15},
D{l:5,t:11,i:459},
D{l:7,t:11,i:1073},
D{l:7,t:10,i:1743},
D{l:8,t:11,i:241},
D{l:136,t:11,i:334},
D{l:4,t:10,i:178},
D{l:133,t:10,i:399},
D{l:135,t:0,i:560},
D{l:132,t:0,i:690},
D{l:135,t:0,i:1246},
D{l:18,t:0,i:157},
D{l:147,t:0,i:63},
D{l:10,t:0,i:599},
D{l:11,t:0,i:33},
D{l:12,t:0,i:571},
D{l:149,t:0,i:1},
D{l:6,t:11,i:324},
D{l:6,t:11,i:520},
D{l:7,t:11,i:338},
D{l:7,t:11,i:1616},
D{l:7,t:11,i:1729},
D{l:8,t:11,i:228},
D{l:9,t:11,i:69},
D{l:139,t:11,i:750},
D{l:7,t:0,i:1862},
D{l:12,t:0,i:491},
D{l:12,t:0,i:520},
D{l:13,t:0,i:383},
D{l:142,t:0,i:244},
D{l:135,t:11,i:734},
D{l:134,t:10,i:1692},
D{l:10,t:0,i:448},
D{l:11,t:0,i:630},
D{l:17,t:0,i:117},
D{l:6,t:10,i:202},
D{l:7,t:11,i:705},
D{l:12,t:10,i:360},
D{l:17,t:10,i:118},
D{l:18,t:10,i:27},
D{l:148,t:10,i:67},
D{l:4,t:11,i:73},
D{l:6,t:11,i:612},
D{l:7,t:11,i:927},
D{l:7,t:11,i:1822},
D{l:8,t:11,i:217},
D{l:9,t:11,i:472},
D{l:9,t:11,i:765},
D{l:9,t:11,i:766},
D{l:10,t:11,i:408},
D{l:11,t:11,i:51},
D{l:11,t:11,i:793},
D{l:12,t:11,i:266},
D{l:15,t:11,i:158},
D{l:20,t:11,i:89},
D{l:150,t:11,i:32},
D{l:4,t:0,i:190},
D{l:133,t:0,i:554},
D{l:133,t:0,i:1001},
D{l:5,t:11,i:389},
D{l:8,t:11,i:636},
D{l:137,t:11,i:229},
D{l:5,t:0,i:446},
D{l:7,t:10,i:872},
D{l:10,t:10,i:516},
D{l:139,t:10,i:167},
D{l:137,t:10,i:313},
D{l:132,t:10,i:224},
D{l:134,t:0,i:1313},
D{l:5,t:10,i:546},
D{l:7,t:10,i:35},
D{l:8,t:10,i:11},
D{l:8,t:10,i:12},
D{l:9,t:10,i:315},
D{l:9,t:10,i:533},
D{l:10,t:10,i:802},
D{l:11,t:10,i:166},
D{l:12,t:10,i:525},
D{l:142,t:10,i:243},
D{l:6,t:0,i:636},
D{l:137,t:0,i:837},
D{l:5,t:10,i:241},
D{l:8,t:10,i:242},
D{l:9,t:10,i:451},
D{l:10,t:10,i:667},
D{l:11,t:10,i:598},
D{l:140,t:10,i:429},
D{l:22,t:10,i:46},
D{l:150,t:11,i:46},
D{l:136,t:11,i:472},
D{l:11,t:0,i:278},
D{l:142,t:0,i:73},
D{l:141,t:11,i:185},
D{l:132,t:0,i:868},
D{l:134,t:0,i:972},
D{l:4,t:10,i:366},
D{l:137,t:10,i:516},
D{l:138,t:0,i:1010},
D{l:5,t:11,i:189},
D{l:6,t:10,i:1736},
D{l:7,t:11,i:442},
D{l:7,t:11,i:443},
D{l:8,t:11,i:281},
D{l:12,t:11,i:174},
D{l:13,t:11,i:83},
D{l:141,t:11,i:261},
D{l:139,t:11,i:384},
D{l:6,t:11,i:2},
D{l:7,t:11,i:191},
D{l:7,t:11,i:446},
D{l:7,t:11,i:758},
D{l:7,t:11,i:1262},
D{l:7,t:11,i:1737},
D{l:8,t:11,i:22},
D{l:8,t:11,i:270},
D{l:8,t:11,i:612},
D{l:9,t:11,i:4},
D{l:9,t:11,i:167},
D{l:9,t:11,i:312},
D{l:9,t:11,i:436},
D{l:10,t:11,i:156},
D{l:10,t:11,i:216},
D{l:10,t:11,i:311},
D{l:10,t:11,i:623},
D{l:11,t:11,i:72},
D{l:11,t:11,i:330},
D{l:11,t:11,i:455},
D{l:12,t:11,i:101},
D{l:12,t:11,i:321},
D{l:12,t:11,i:504},
D{l:12,t:11,i:530},
D{l:12,t:11,i:543},
D{l:13,t:11,i:17},
D{l:13,t:11,i:156},
D{l:13,t:11,i:334},
D{l:14,t:11,i:48},
D{l:15,t:11,i:70},
D{l:17,t:11,i:60},
D{l:148,t:11,i:64},
D{l:6,t:10,i:331},
D{l:136,t:10,i:623},
D{l:135,t:0,i:1231},
D{l:132,t:0,i:304},
D{l:6,t:11,i:60},
D{l:7,t:11,i:670},
D{l:7,t:11,i:1327},
D{l:8,t:11,i:411},
D{l:8,t:11,i:435},
D{l:9,t:11,i:653},
D{l:9,t:11,i:740},
D{l:10,t:11,i:385},
D{l:11,t:11,i:222},
D{l:11,t:11,i:324},
D{l:11,t:11,i:829},
D{l:140,t:11,i:611},
D{l:7,t:0,i:506},
D{l:6,t:11,i:166},
D{l:7,t:11,i:374},
D{l:135,t:11,i:1174},
D{l:14,t:11,i:43},
D{l:146,t:11,i:21},
D{l:135,t:11,i:1694},
D{l:135,t:10,i:1888},
D{l:5,t:11,i:206},
D{l:134,t:11,i:398},
D{l:135,t:11,i:50},
D{l:150,t:0,i:26},
D{l:6,t:0,i:53},
D{l:6,t:0,i:199},
D{l:7,t:0,i:1408},
D{l:8,t:0,i:32},
D{l:8,t:0,i:93},
D{l:10,t:0,i:397},
D{l:10,t:0,i:629},
D{l:11,t:0,i:593},
D{l:11,t:0,i:763},
D{l:13,t:0,i:326},
D{l:145,t:0,i:35},
D{l:134,t:0,i:105},
D{l:132,t:10,i:394},
D{l:4,t:0,i:843},
D{l:138,t:0,i:794},
D{l:11,t:0,i:704},
D{l:141,t:0,i:396},
D{l:5,t:0,i:114},
D{l:5,t:0,i:255},
D{l:141,t:0,i:285},
D{l:6,t:0,i:619},
D{l:7,t:0,i:898},
D{l:7,t:0,i:1092},
D{l:8,t:0,i:485},
D{l:18,t:0,i:28},
D{l:19,t:0,i:116},
D{l:135,t:10,i:1931},
D{l:9,t:0,i:145},
D{l:7,t:10,i:574},
D{l:135,t:10,i:1719},
D{l:7,t:0,i:2035},
D{l:8,t:0,i:19},
D{l:9,t:0,i:89},
D{l:138,t:0,i:831},
D{l:132,t:10,i:658},
D{l:6,t:11,i:517},
D{l:7,t:11,i:1159},
D{l:10,t:11,i:621},
D{l:139,t:11,i:192},
D{l:7,t:0,i:1933},
D{l:7,t:11,i:1933},
D{l:9,t:10,i:781},
D{l:10,t:10,i:144},
D{l:11,t:10,i:385},
D{l:13,t:10,i:161},
D{l:13,t:10,i:228},
D{l:13,t:10,i:268},
D{l:148,t:10,i:107},
D{l:136,t:10,i:374},
D{l:10,t:11,i:223},
D{l:139,t:11,i:645},
D{l:135,t:0,i:1728},
D{l:7,t:11,i:64},
D{l:7,t:11,i:289},
D{l:136,t:11,i:245},
D{l:4,t:10,i:344},
D{l:6,t:10,i:498},
D{l:139,t:10,i:323},
D{l:136,t:0,i:746},
D{l:135,t:10,i:1063},
D{l:137,t:10,i:155},
D{l:4,t:0,i:987},
D{l:6,t:0,i:1964},
D{l:6,t:0,i:1974},
D{l:6,t:0,i:1990},
D{l:136,t:0,i:995},
D{l:133,t:11,i:609},
D{l:133,t:10,i:906},
D{l:134,t:0,i:1550},
D{l:134,t:0,i:874},
D{l:5,t:11,i:129},
D{l:6,t:11,i:61},
D{l:135,t:11,i:947},
D{l:4,t:0,i:1018},
D{l:6,t:0,i:1938},
D{l:6,t:0,i:2021},
D{l:134,t:0,i:2039},
D{l:132,t:0,i:814},
D{l:11,t:0,i:126},
D{l:139,t:0,i:287},
D{l:134,t:0,i:1264},
D{l:5,t:0,i:955},
D{l:136,t:0,i:814},
D{l:141,t:11,i:506},
D{l:132,t:11,i:314},
D{l:6,t:0,i:981},
D{l:139,t:11,i:1000},
D{l:5,t:0,i:56},
D{l:8,t:0,i:892},
D{l:8,t:0,i:915},
D{l:140,t:0,i:776},
D{l:148,t:0,i:100},
D{l:10,t:0,i:4},
D{l:10,t:0,i:13},
D{l:11,t:0,i:638},
D{l:148,t:0,i:57},
D{l:148,t:11,i:74},
D{l:5,t:0,i:738},
D{l:132,t:10,i:616},
D{l:133,t:11,i:637},
D{l:136,t:10,i:692},
D{l:133,t:0,i:758},
D{l:132,t:10,i:305},
D{l:137,t:11,i:590},
D{l:5,t:11,i:280},
D{l:135,t:11,i:1226},
D{l:134,t:11,i:494},
D{l:135,t:0,i:1112},
D{l:133,t:11,i:281},
D{l:13,t:0,i:44},
D{l:14,t:0,i:214},
D{l:5,t:10,i:214},
D{l:7,t:10,i:603},
D{l:8,t:10,i:611},
D{l:9,t:10,i:686},
D{l:10,t:10,i:88},
D{l:11,t:10,i:459},
D{l:11,t:10,i:496},
D{l:12,t:10,i:463},
D{l:140,t:10,i:590},
D{l:139,t:0,i:328},
D{l:135,t:11,i:1064},
D{l:137,t:0,i:133},
D{l:7,t:0,i:168},
D{l:13,t:0,i:196},
D{l:141,t:0,i:237},
D{l:134,t:10,i:1703},
D{l:134,t:0,i:1152},
D{l:135,t:0,i:1245},
D{l:5,t:0,i:110},
D{l:6,t:0,i:169},
D{l:6,t:0,i:1702},
D{l:7,t:0,i:400},
D{l:8,t:0,i:538},
D{l:9,t:0,i:184},
D{l:9,t:0,i:524},
D{l:140,t:0,i:218},
D{l:6,t:0,i:1816},
D{l:10,t:0,i:871},
D{l:12,t:0,i:769},
D{l:140,t:0,i:785},
D{l:132,t:11,i:630},
D{l:7,t:11,i:33},
D{l:7,t:11,i:120},
D{l:8,t:11,i:489},
D{l:9,t:11,i:319},
D{l:10,t:11,i:820},
D{l:11,t:11,i:1004},
D{l:12,t:11,i:379},
D{l:13,t:11,i:117},
D{l:13,t:11,i:412},
D{l:14,t:11,i:25},
D{l:15,t:11,i:52},
D{l:15,t:11,i:161},
D{l:16,t:11,i:47},
D{l:149,t:11,i:2},
D{l:6,t:0,i:133},
D{l:8,t:0,i:413},
D{l:9,t:0,i:353},
D{l:139,t:0,i:993},
D{l:145,t:10,i:19},
D{l:4,t:11,i:937},
D{l:133,t:11,i:801},
D{l:134,t:0,i:978},
D{l:6,t:0,i:93},
D{l:6,t:0,i:1508},
D{l:7,t:0,i:1422},
D{l:7,t:0,i:1851},
D{l:8,t:0,i:673},
D{l:9,t:0,i:529},
D{l:140,t:0,i:43},
D{l:6,t:0,i:317},
D{l:10,t:0,i:512},
D{l:4,t:10,i:737},
D{l:11,t:10,i:294},
D{l:12,t:10,i:60},
D{l:12,t:10,i:437},
D{l:13,t:10,i:64},
D{l:13,t:10,i:380},
D{l:142,t:10,i:430},
D{l:9,t:0,i:371},
D{l:7,t:11,i:1591},
D{l:144,t:11,i:43},
D{l:6,t:10,i:1758},
D{l:8,t:10,i:520},
D{l:9,t:10,i:345},
D{l:9,t:10,i:403},
D{l:142,t:10,i:350},
D{l:5,t:0,i:526},
D{l:10,t:10,i:242},
D{l:138,t:10,i:579},
D{l:9,t:0,i:25},
D{l:10,t:0,i:467},
D{l:138,t:0,i:559},
D{l:5,t:10,i:139},
D{l:7,t:10,i:1168},
D{l:138,t:10,i:539},
D{l:4,t:0,i:335},
D{l:135,t:0,i:942},
D{l:140,t:0,i:754},
D{l:132,t:11,i:365},
D{l:11,t:0,i:182},
D{l:142,t:0,i:195},
D{l:142,t:11,i:29},
D{l:5,t:11,i:7},
D{l:139,t:11,i:774},
D{l:4,t:11,i:746},
D{l:135,t:11,i:1090},
D{l:8,t:0,i:39},
D{l:10,t:0,i:773},
D{l:11,t:0,i:84},
D{l:12,t:0,i:205},
D{l:142,t:0,i:1},
D{l:5,t:0,i:601},
D{l:5,t:0,i:870},
D{l:5,t:11,i:360},
D{l:136,t:11,i:237},
D{l:132,t:0,i:181},
D{l:136,t:0,i:370},
D{l:134,t:0,i:1652},
D{l:8,t:0,i:358},
D{l:4,t:10,i:107},
D{l:7,t:10,i:613},
D{l:8,t:10,i:439},
D{l:8,t:10,i:504},
D{l:9,t:10,i:501},
D{l:10,t:10,i:383},
D{l:139,t:10,i:477},
D{l:132,t:10,i:229},
D{l:137,t:11,i:785},
D{l:4,t:0,i:97},
D{l:5,t:0,i:147},
D{l:6,t:0,i:286},
D{l:7,t:0,i:1362},
D{l:141,t:0,i:176},
D{l:6,t:0,i:537},
D{l:7,t:0,i:788},
D{l:7,t:0,i:1816},
D{l:132,t:10,i:903},
D{l:140,t:10,i:71},
D{l:6,t:0,i:743},
D{l:134,t:0,i:1223},
D{l:6,t:0,i:375},
D{l:7,t:0,i:169},
D{l:7,t:0,i:254},
D{l:8,t:0,i:780},
D{l:135,t:11,i:1493},
D{l:7,t:0,i:1714},
D{l:4,t:10,i:47},
D{l:6,t:10,i:373},
D{l:7,t:10,i:452},
D{l:7,t:10,i:543},
D{l:7,t:10,i:1856},
D{l:9,t:10,i:6},
D{l:11,t:10,i:257},
D{l:139,t:10,i:391},
D{l:6,t:0,i:896},
D{l:136,t:0,i:1003},
D{l:135,t:0,i:1447},
D{l:137,t:11,i:341},
D{l:5,t:10,i:980},
D{l:134,t:10,i:1754},
D{l:145,t:11,i:22},
D{l:4,t:11,i:277},
D{l:5,t:11,i:608},
D{l:6,t:11,i:493},
D{l:7,t:11,i:457},
D{l:140,t:11,i:384},
D{l:7,t:10,i:536},
D{l:7,t:10,i:1331},
D{l:136,t:10,i:143},
D{l:140,t:0,i:744},
D{l:7,t:11,i:27},
D{l:135,t:11,i:316},
D{l:18,t:0,i:126},
D{l:5,t:10,i:19},
D{l:134,t:10,i:533},
D{l:4,t:0,i:788},
D{l:11,t:0,i:41},
D{l:5,t:11,i:552},
D{l:5,t:11,i:586},
D{l:5,t:11,i:676},
D{l:6,t:11,i:448},
D{l:8,t:11,i:244},
D{l:11,t:11,i:1},
D{l:11,t:11,i:41},
D{l:13,t:11,i:3},
D{l:16,t:11,i:54},
D{l:17,t:11,i:4},
D{l:146,t:11,i:13},
D{l:4,t:0,i:985},
D{l:6,t:0,i:1801},
D{l:4,t:11,i:401},
D{l:137,t:11,i:264},
D{l:5,t:10,i:395},
D{l:5,t:10,i:951},
D{l:134,t:10,i:1776},
D{l:5,t:0,i:629},
D{l:135,t:0,i:1549},
D{l:11,t:10,i:663},
D{l:12,t:10,i:210},
D{l:13,t:10,i:166},
D{l:13,t:10,i:310},
D{l:14,t:10,i:373},
D{l:147,t:10,i:43},
D{l:9,t:11,i:543},
D{l:10,t:11,i:524},
D{l:11,t:11,i:30},
D{l:12,t:11,i:524},
D{l:14,t:11,i:315},
D{l:16,t:11,i:18},
D{l:20,t:11,i:26},
D{l:148,t:11,i:65},
D{l:4,t:11,i:205},
D{l:5,t:11,i:623},
D{l:7,t:11,i:104},
D{l:136,t:11,i:519},
D{l:5,t:0,i:293},
D{l:134,t:0,i:601},
D{l:7,t:11,i:579},
D{l:9,t:11,i:41},
D{l:9,t:11,i:244},
D{l:9,t:11,i:669},
D{l:10,t:11,i:5},
D{l:11,t:11,i:861},
D{l:11,t:11,i:951},
D{l:139,t:11,i:980},
D{l:132,t:11,i:717},
D{l:132,t:10,i:695},
D{l:7,t:10,i:497},
D{l:9,t:10,i:387},
D{l:147,t:10,i:81},
D{l:132,t:0,i:420},
D{l:142,t:0,i:37},
D{l:6,t:0,i:1134},
D{l:6,t:0,i:1900},
D{l:12,t:0,i:830},
D{l:12,t:0,i:878},
D{l:12,t:0,i:894},
D{l:15,t:0,i:221},
D{l:143,t:0,i:245},
D{l:132,t:11,i:489},
D{l:7,t:0,i:1570},
D{l:140,t:0,i:542},
D{l:8,t:0,i:933},
D{l:136,t:0,i:957},
D{l:6,t:0,i:1371},
D{l:7,t:0,i:31},
D{l:8,t:0,i:373},
D{l:5,t:10,i:284},
D{l:6,t:10,i:49},
D{l:6,t:10,i:350},
D{l:7,t:10,i:377},
D{l:7,t:10,i:1693},
D{l:8,t:10,i:678},
D{l:9,t:10,i:161},
D{l:9,t:10,i:585},
D{l:9,t:10,i:671},
D{l:9,t:10,i:839},
D{l:11,t:10,i:912},
D{l:141,t:10,i:427},
D{l:135,t:11,i:892},
D{l:4,t:0,i:325},
D{l:138,t:0,i:125},
D{l:139,t:11,i:47},
D{l:132,t:10,i:597},
D{l:138,t:0,i:323},
D{l:6,t:0,i:1547},
D{l:7,t:11,i:1605},
D{l:9,t:11,i:473},
D{l:11,t:11,i:962},
D{l:146,t:11,i:139},
D{l:139,t:10,i:908},
D{l:7,t:11,i:819},
D{l:9,t:11,i:26},
D{l:9,t:11,i:392},
D{l:10,t:11,i:152},
D{l:10,t:11,i:226},
D{l:11,t:11,i:19},
D{l:12,t:11,i:276},
D{l:12,t:11,i:426},
D{l:12,t:11,i:589},
D{l:13,t:11,i:460},
D{l:15,t:11,i:97},
D{l:19,t:11,i:48},
D{l:148,t:11,i:104},
D{l:135,t:11,i:51},
D{l:4,t:0,i:718},
D{l:135,t:0,i:1216},
D{l:6,t:0,i:1896},
D{l:6,t:0,i:1905},
D{l:6,t:0,i:1912},
D{l:9,t:0,i:947},
D{l:9,t:0,i:974},
D{l:12,t:0,i:809},
D{l:12,t:0,i:850},
D{l:12,t:0,i:858},
D{l:12,t:0,i:874},
D{l:12,t:0,i:887},
D{l:12,t:0,i:904},
D{l:12,t:0,i:929},
D{l:12,t:0,i:948},
D{l:12,t:0,i:952},
D{l:15,t:0,i:198},
D{l:15,t:0,i:206},
D{l:15,t:0,i:220},
D{l:15,t:0,i:227},
D{l:15,t:0,i:247},
D{l:18,t:0,i:188},
D{l:21,t:0,i:48},
D{l:21,t:0,i:50},
D{l:24,t:0,i:25},
D{l:24,t:0,i:29},
D{l:7,t:11,i:761},
D{l:7,t:11,i:1051},
D{l:137,t:11,i:545},
D{l:5,t:0,i:124},
D{l:5,t:0,i:144},
D{l:6,t:0,i:548},
D{l:7,t:0,i:15},
D{l:7,t:0,i:153},
D{l:137,t:0,i:629},
D{l:135,t:11,i:606},
D{l:135,t:10,i:2014},
D{l:7,t:10,i:2007},
D{l:9,t:11,i:46},
D{l:9,t:10,i:101},
D{l:9,t:10,i:450},
D{l:10,t:10,i:66},
D{l:10,t:10,i:842},
D{l:11,t:10,i:536},
D{l:140,t:10,i:587},
D{l:6,t:0,i:75},
D{l:7,t:0,i:1531},
D{l:8,t:0,i:416},
D{l:9,t:0,i:240},
D{l:9,t:0,i:275},
D{l:10,t:0,i:100},
D{l:11,t:0,i:658},
D{l:11,t:0,i:979},
D{l:12,t:0,i:86},
D{l:14,t:0,i:207},
D{l:15,t:0,i:20},
D{l:143,t:0,i:25},
D{l:5,t:0,i:141},
D{l:5,t:0,i:915},
D{l:6,t:0,i:1783},
D{l:7,t:0,i:211},
D{l:7,t:0,i:698},
D{l:7,t:0,i:1353},
D{l:9,t:0,i:83},
D{l:9,t:0,i:281},
D{l:10,t:0,i:376},
D{l:10,t:0,i:431},
D{l:11,t:0,i:543},
D{l:12,t:0,i:664},
D{l:13,t:0,i:280},
D{l:13,t:0,i:428},
D{l:14,t:0,i:61},
D{l:14,t:0,i:128},
D{l:17,t:0,i:52},
D{l:145,t:0,i:81},
D{l:132,t:11,i:674},
D{l:135,t:0,i:533},
D{l:149,t:0,i:6},
D{l:132,t:11,i:770},
D{l:133,t:0,i:538},
D{l:5,t:11,i:79},
D{l:7,t:11,i:1027},
D{l:7,t:11,i:1477},
D{l:139,t:11,i:52},
D{l:139,t:10,i:62},
D{l:4,t:0,i:338},
D{l:133,t:0,i:400},
D{l:5,t:11,i:789},
D{l:134,t:11,i:195},
D{l:4,t:11,i:251},
D{l:4,t:11,i:688},
D{l:7,t:11,i:513},
D{l:7,t:11,i:1284},
D{l:9,t:11,i:87},
D{l:138,t:11,i:365},
D{l:134,t:10,i:1766},
D{l:6,t:0,i:0},
D{l:7,t:0,i:84},
D{l:11,t:0,i:895},
D{l:145,t:0,i:11},
D{l:139,t:0,i:892},
D{l:4,t:0,i:221},
D{l:5,t:0,i:659},
D{l:7,t:0,i:697},
D{l:7,t:0,i:1211},
D{l:138,t:0,i:284},
D{l:133,t:0,i:989},
D{l:133,t:11,i:889},
D{l:4,t:11,i:160},
D{l:5,t:11,i:330},
D{l:7,t:11,i:1434},
D{l:136,t:11,i:174},
D{l:6,t:10,i:1665},
D{l:7,t:10,i:256},
D{l:7,t:10,i:1388},
D{l:10,t:10,i:499},
D{l:139,t:10,i:670},
D{l:7,t:0,i:848},
D{l:4,t:10,i:22},
D{l:5,t:10,i:10},
D{l:136,t:10,i:97},
D{l:138,t:0,i:507},
D{l:133,t:10,i:481},
D{l:4,t:0,i:188},
D{l:135,t:0,i:805},
D{l:5,t:0,i:884},
D{l:6,t:0,i:732},
D{l:139,t:0,i:991},
D{l:135,t:11,i:968},
D{l:11,t:11,i:636},
D{l:15,t:11,i:145},
D{l:17,t:11,i:34},
D{l:19,t:11,i:50},
D{l:151,t:11,i:20},
D{l:7,t:0,i:959},
D{l:16,t:0,i:60},
D{l:6,t:10,i:134},
D{l:7,t:10,i:437},
D{l:9,t:10,i:37},
D{l:14,t:10,i:285},
D{l:142,t:10,i:371},
D{l:7,t:10,i:486},
D{l:8,t:10,i:155},
D{l:11,t:10,i:93},
D{l:140,t:10,i:164},
D{l:134,t:0,i:1653},
D{l:7,t:0,i:337},
D{l:133,t:10,i:591},
D{l:6,t:0,i:1989},
D{l:8,t:0,i:922},
D{l:8,t:0,i:978},
D{l:133,t:11,i:374},
D{l:132,t:0,i:638},
D{l:138,t:0,i:500},
D{l:133,t:11,i:731},
D{l:5,t:10,i:380},
D{l:5,t:10,i:650},
D{l:136,t:10,i:310},
D{l:138,t:11,i:381},
D{l:4,t:10,i:364},
D{l:7,t:10,i:1156},
D{l:7,t:10,i:1187},
D{l:137,t:10,i:409},
D{l:137,t:11,i:224},
D{l:140,t:0,i:166},
D{l:134,t:10,i:482},
D{l:4,t:11,i:626},
D{l:5,t:11,i:642},
D{l:6,t:11,i:425},
D{l:10,t:11,i:202},
D{l:139,t:11,i:141},
D{l:4,t:10,i:781},
D{l:6,t:10,i:487},
D{l:7,t:10,i:926},
D{l:8,t:10,i:263},
D{l:139,t:10,i:500},
D{l:135,t:0,i:418},
D{l:4,t:10,i:94},
D{l:135,t:10,i:1265},
D{l:136,t:0,i:760},
D{l:132,t:10,i:417},
D{l:136,t:11,i:835},
D{l:5,t:10,i:348},
D{l:134,t:10,i:522},
D{l:6,t:0,i:1277},
D{l:134,t:0,i:1538},
D{l:139,t:11,i:541},
D{l:135,t:11,i:1597},
D{l:5,t:11,i:384},
D{l:8,t:11,i:455},
D{l:140,t:11,i:48},
D{l:136,t:0,i:770},
D{l:5,t:11,i:264},
D{l:134,t:11,i:184},
D{l:4,t:0,i:89},
D{l:5,t:0,i:489},
D{l:6,t:0,i:315},
D{l:7,t:0,i:553},
D{l:7,t:0,i:1745},
D{l:138,t:0,i:243},
D{l:4,t:10,i:408},
D{l:4,t:10,i:741},
D{l:135,t:10,i:500},
D{l:134,t:0,i:1396},
D{l:133,t:0,i:560},
D{l:6,t:0,i:1658},
D{l:9,t:0,i:3},
D{l:10,t:0,i:154},
D{l:11,t:0,i:641},
D{l:13,t:0,i:85},
D{l:13,t:0,i:201},
D{l:141,t:0,i:346},
D{l:135,t:11,i:1595},
D{l:5,t:11,i:633},
D{l:6,t:11,i:28},
D{l:7,t:11,i:219},
D{l:135,t:11,i:1323},
D{l:9,t:11,i:769},
D{l:140,t:11,i:185},
D{l:135,t:11,i:785},
D{l:7,t:11,i:359},
D{l:8,t:11,i:243},
D{l:140,t:11,i:175},
D{l:138,t:0,i:586},
D{l:7,t:0,i:1271},
D{l:134,t:10,i:73},
D{l:132,t:11,i:105},
D{l:4,t:0,i:166},
D{l:5,t:0,i:505},
D{l:134,t:0,i:1670},
D{l:133,t:10,i:576},
D{l:4,t:11,i:324},
D{l:138,t:11,i:104},
D{l:142,t:10,i:231},
D{l:6,t:0,i:637},
D{l:7,t:10,i:1264},
D{l:7,t:10,i:1678},
D{l:11,t:10,i:945},
D{l:12,t:10,i:341},
D{l:12,t:10,i:471},
D{l:12,t:10,i:569},
D{l:23,t:11,i:21},
D{l:151,t:11,i:23},
D{l:8,t:11,i:559},
D{l:141,t:11,i:109},
D{l:134,t:0,i:1947},
D{l:7,t:0,i:445},
D{l:8,t:0,i:307},
D{l:8,t:0,i:704},
D{l:10,t:0,i:41},
D{l:10,t:0,i:439},
D{l:11,t:0,i:237},
D{l:11,t:0,i:622},
D{l:140,t:0,i:201},
D{l:135,t:11,i:963},
D{l:135,t:0,i:1977},
D{l:4,t:0,i:189},
D{l:5,t:0,i:713},
D{l:136,t:0,i:57},
D{l:138,t:0,i:371},
D{l:135,t:10,i:538},
D{l:132,t:0,i:552},
D{l:6,t:0,i:883},
D{l:133,t:10,i:413},
D{l:6,t:0,i:923},
D{l:132,t:11,i:758},
D{l:138,t:11,i:215},
D{l:136,t:10,i:495},
D{l:7,t:10,i:54},
D{l:8,t:10,i:312},
D{l:10,t:10,i:191},
D{l:10,t:10,i:614},
D{l:140,t:10,i:567},
D{l:7,t:11,i:351},
D{l:139,t:11,i:128},
D{l:7,t:0,i:875},
D{l:6,t:10,i:468},
D{l:7,t:10,i:1478},
D{l:8,t:10,i:530},
D{l:142,t:10,i:290},
D{l:135,t:0,i:1788},
D{l:17,t:0,i:49},
D{l:133,t:11,i:918},
D{l:12,t:11,i:398},
D{l:20,t:11,i:39},
D{l:21,t:11,i:11},
D{l:150,t:11,i:41},
D{l:10,t:0,i:661},
D{l:6,t:10,i:484},
D{l:135,t:10,i:822},
D{l:135,t:0,i:1945},
D{l:134,t:0,i:794},
D{l:137,t:10,i:900},
D{l:135,t:10,i:1335},
D{l:6,t:10,i:1724},
D{l:135,t:10,i:2022},
D{l:132,t:11,i:340},
D{l:134,t:0,i:1135},
D{l:4,t:0,i:784},
D{l:133,t:0,i:745},
D{l:5,t:0,i:84},
D{l:134,t:0,i:163},
D{l:133,t:0,i:410},
D{l:4,t:0,i:976},
D{l:5,t:11,i:985},
D{l:7,t:11,i:509},
D{l:7,t:11,i:529},
D{l:145,t:11,i:96},
D{l:132,t:10,i:474},
D{l:134,t:0,i:703},
D{l:135,t:11,i:1919},
D{l:5,t:0,i:322},
D{l:8,t:0,i:186},
D{l:9,t:0,i:262},
D{l:10,t:0,i:187},
D{l:142,t:0,i:208},
D{l:135,t:10,i:1504},
D{l:133,t:0,i:227},
D{l:9,t:0,i:560},
D{l:13,t:0,i:208},
D{l:133,t:10,i:305},
D{l:132,t:11,i:247},
D{l:7,t:0,i:1395},
D{l:8,t:0,i:486},
D{l:9,t:0,i:236},
D{l:9,t:0,i:878},
D{l:10,t:0,i:218},
D{l:11,t:0,i:95},
D{l:19,t:0,i:17},
D{l:147,t:0,i:31},
D{l:7,t:0,i:2043},
D{l:8,t:0,i:672},
D{l:141,t:0,i:448},
D{l:4,t:11,i:184},
D{l:5,t:11,i:390},
D{l:6,t:11,i:337},
D{l:7,t:11,i:23},
D{l:7,t:11,i:494},
D{l:7,t:11,i:618},
D{l:7,t:11,i:1456},
D{l:8,t:11,i:27},
D{l:8,t:11,i:599},
D{l:10,t:11,i:153},
D{l:139,t:11,i:710},
D{l:135,t:0,i:466},
D{l:135,t:10,i:1236},
D{l:6,t:0,i:167},
D{l:7,t:0,i:186},
D{l:7,t:0,i:656},
D{l:10,t:0,i:643},
D{l:4,t:10,i:480},
D{l:6,t:10,i:302},
D{l:6,t:10,i:1642},
D{l:7,t:10,i:837},
D{l:7,t:10,i:1547},
D{l:7,t:10,i:1657},
D{l:8,t:10,i:429},
D{l:9,t:10,i:228},
D{l:13,t:10,i:289},
D{l:13,t:10,i:343},
D{l:147,t:10,i:101},
D{l:134,t:0,i:1428},
D{l:134,t:0,i:1440},
D{l:5,t:0,i:412},
D{l:7,t:10,i:278},
D{l:10,t:10,i:739},
D{l:11,t:10,i:708},
D{l:141,t:10,i:348},
D{l:134,t:0,i:1118},
D{l:136,t:0,i:562},
D{l:148,t:11,i:46},
D{l:9,t:0,i:316},
D{l:139,t:0,i:256},
D{l:134,t:0,i:1771},
D{l:135,t:0,i:1190},
D{l:137,t:0,i:132},
D{l:10,t:11,i:227},
D{l:11,t:11,i:497},
D{l:11,t:11,i:709},
D{l:140,t:11,i:415},
D{l:143,t:0,i:66},
D{l:6,t:11,i:360},
D{l:7,t:11,i:1664},
D{l:136,t:11,i:478},
D{l:144,t:10,i:28},
D{l:4,t:0,i:317},
D{l:135,t:0,i:1279},
D{l:5,t:0,i:63},
D{l:133,t:0,i:509},
D{l:136,t:11,i:699},
D{l:145,t:10,i:36},
D{l:134,t:0,i:1475},
D{l:11,t:11,i:343},
D{l:142,t:11,i:127},
D{l:132,t:11,i:739},
D{l:132,t:0,i:288},
D{l:135,t:11,i:1757},
D{l:8,t:0,i:89},
D{l:8,t:0,i:620},
D{l:9,t:0,i:608},
D{l:11,t:0,i:628},
D{l:12,t:0,i:322},
D{l:143,t:0,i:124},
D{l:134,t:0,i:1225},
D{l:7,t:0,i:1189},
D{l:4,t:11,i:67},
D{l:5,t:11,i:422},
D{l:6,t:10,i:363},
D{l:7,t:11,i:1037},
D{l:7,t:11,i:1289},
D{l:7,t:11,i:1555},
D{l:7,t:10,i:1955},
D{l:8,t:10,i:725},
D{l:9,t:11,i:741},
D{l:145,t:11,i:108},
D{l:134,t:0,i:1468},
D{l:6,t:0,i:689},
D{l:134,t:0,i:1451},
D{l:138,t:0,i:120},
D{l:151,t:0,i:1},
D{l:137,t:10,i:805},
D{l:142,t:0,i:329},
D{l:5,t:10,i:813},
D{l:135,t:10,i:2046},
D{l:135,t:0,i:226},
D{l:138,t:11,i:96},
D{l:7,t:0,i:1855},
D{l:5,t:10,i:712},
D{l:11,t:10,i:17},
D{l:13,t:10,i:321},
D{l:144,t:10,i:67},
D{l:9,t:0,i:461},
D{l:6,t:10,i:320},
D{l:7,t:10,i:781},
D{l:7,t:10,i:1921},
D{l:9,t:10,i:55},
D{l:10,t:10,i:186},
D{l:10,t:10,i:273},
D{l:10,t:10,i:664},
D{l:10,t:10,i:801},
D{l:11,t:10,i:996},
D{l:11,t:10,i:997},
D{l:13,t:10,i:157},
D{l:142,t:10,i:170},
D{l:8,t:11,i:203},
D{l:8,t:10,i:271},
D{l:11,t:11,i:823},
D{l:11,t:11,i:846},
D{l:12,t:11,i:482},
D{l:13,t:11,i:133},
D{l:13,t:11,i:277},
D{l:13,t:11,i:302},
D{l:13,t:11,i:464},
D{l:14,t:11,i:205},
D{l:142,t:11,i:221},
D{l:135,t:0,i:1346},
D{l:4,t:11,i:449},
D{l:133,t:11,i:718},
D{l:134,t:0,i:85},
D{l:14,t:0,i:299},
D{l:7,t:10,i:103},
D{l:7,t:10,i:863},
D{l:11,t:10,i:184},
D{l:145,t:10,i:62},
D{l:4,t:11,i:355},
D{l:6,t:11,i:311},
D{l:9,t:11,i:256},
D{l:138,t:11,i:404},
D{l:137,t:10,i:659},
D{l:138,t:11,i:758},
D{l:133,t:11,i:827},
D{l:5,t:11,i:64},
D{l:140,t:11,i:581},
D{l:134,t:0,i:1171},
D{l:4,t:11,i:442},
D{l:7,t:11,i:1047},
D{l:7,t:11,i:1352},
D{l:135,t:11,i:1643},
D{l:132,t:0,i:980},
D{l:5,t:11,i:977},
D{l:6,t:11,i:288},
D{l:7,t:11,i:528},
D{l:135,t:11,i:1065},
D{l:5,t:0,i:279},
D{l:6,t:0,i:235},
D{l:7,t:0,i:468},
D{l:8,t:0,i:446},
D{l:9,t:0,i:637},
D{l:10,t:0,i:717},
D{l:11,t:0,i:738},
D{l:140,t:0,i:514},
D{l:132,t:0,i:293},
D{l:11,t:10,i:337},
D{l:142,t:10,i:303},
D{l:136,t:11,i:285},
D{l:5,t:0,i:17},
D{l:6,t:0,i:371},
D{l:9,t:0,i:528},
D{l:12,t:0,i:364},
D{l:132,t:11,i:254},
D{l:5,t:10,i:77},
D{l:7,t:10,i:1455},
D{l:10,t:10,i:843},
D{l:147,t:10,i:73},
D{l:150,t:0,i:5},
D{l:132,t:10,i:458},
D{l:6,t:11,i:12},
D{l:7,t:11,i:1219},
D{l:145,t:11,i:73},
D{l:135,t:10,i:1420},
D{l:6,t:10,i:109},
D{l:138,t:10,i:382},
D{l:135,t:11,i:125},
D{l:6,t:10,i:330},
D{l:7,t:10,i:1084},
D{l:139,t:10,i:142},
D{l:6,t:11,i:369},
D{l:6,t:11,i:502},
D{l:7,t:11,i:1036},
D{l:8,t:11,i:348},
D{l:9,t:11,i:452},
D{l:10,t:11,i:26},
D{l:11,t:11,i:224},
D{l:11,t:11,i:387},
D{l:11,t:11,i:772},
D{l:12,t:11,i:95},
D{l:12,t:11,i:629},
D{l:13,t:11,i:195},
D{l:13,t:11,i:207},
D{l:13,t:11,i:241},
D{l:14,t:11,i:260},
D{l:14,t:11,i:270},
D{l:143,t:11,i:140},
D{l:132,t:11,i:269},
D{l:5,t:11,i:480},
D{l:7,t:11,i:532},
D{l:7,t:11,i:1197},
D{l:7,t:11,i:1358},
D{l:8,t:11,i:291},
D{l:11,t:11,i:349},
D{l:142,t:11,i:396},
D{l:150,t:0,i:48},
D{l:10,t:0,i:601},
D{l:13,t:0,i:353},
D{l:141,t:0,i:376},
D{l:5,t:0,i:779},
D{l:5,t:0,i:807},
D{l:6,t:0,i:1655},
D{l:134,t:0,i:1676},
D{l:142,t:11,i:223},
D{l:4,t:0,i:196},
D{l:5,t:0,i:558},
D{l:133,t:0,i:949},
D{l:148,t:11,i:15},
D{l:135,t:11,i:1764},
D{l:134,t:0,i:1322},
D{l:132,t:0,i:752},
D{l:139,t:0,i:737},
D{l:135,t:11,i:657},
D{l:136,t:11,i:533},
D{l:135,t:0,i:412},
D{l:4,t:0,i:227},
D{l:5,t:0,i:159},
D{l:5,t:0,i:409},
D{l:7,t:0,i:80},
D{l:8,t:0,i:556},
D{l:10,t:0,i:479},
D{l:12,t:0,i:418},
D{l:14,t:0,i:50},
D{l:14,t:0,i:123},
D{l:14,t:0,i:192},
D{l:14,t:0,i:249},
D{l:14,t:0,i:295},
D{l:143,t:0,i:27},
D{l:7,t:0,i:1470},
D{l:8,t:0,i:66},
D{l:8,t:0,i:137},
D{l:8,t:0,i:761},
D{l:9,t:0,i:638},
D{l:11,t:0,i:80},
D{l:11,t:0,i:212},
D{l:11,t:0,i:368},
D{l:11,t:0,i:418},
D{l:12,t:0,i:8},
D{l:13,t:0,i:15},
D{l:16,t:0,i:61},
D{l:17,t:0,i:59},
D{l:19,t:0,i:28},
D{l:148,t:0,i:84},
D{l:135,t:10,i:1985},
D{l:4,t:11,i:211},
D{l:4,t:11,i:332},
D{l:5,t:11,i:335},
D{l:6,t:11,i:238},
D{l:7,t:11,i:269},
D{l:7,t:11,i:811},
D{l:7,t:11,i:1797},
D{l:8,t:10,i:122},
D{l:8,t:11,i:836},
D{l:9,t:11,i:507},
D{l:141,t:11,i:242},
D{l:6,t:0,i:683},
D{l:134,t:0,i:1252},
D{l:4,t:0,i:873},
D{l:132,t:10,i:234},
D{l:134,t:0,i:835},
D{l:6,t:0,i:38},
D{l:7,t:0,i:1220},
D{l:8,t:0,i:185},
D{l:8,t:0,i:256},
D{l:9,t:0,i:22},
D{l:9,t:0,i:331},
D{l:10,t:0,i:738},
D{l:11,t:0,i:205},
D{l:11,t:0,i:540},
D{l:11,t:0,i:746},
D{l:13,t:0,i:465},
D{l:14,t:0,i:88},
D{l:142,t:0,i:194},
D{l:138,t:0,i:986},
D{l:5,t:11,i:1009},
D{l:12,t:11,i:582},
D{l:146,t:11,i:131},
D{l:4,t:0,i:159},
D{l:6,t:0,i:115},
D{l:7,t:0,i:252},
D{l:7,t:0,i:257},
D{l:7,t:0,i:1928},
D{l:8,t:0,i:69},
D{l:9,t:0,i:384},
D{l:10,t:0,i:91},
D{l:10,t:0,i:615},
D{l:12,t:0,i:375},
D{l:14,t:0,i:235},
D{l:18,t:0,i:117},
D{l:147,t:0,i:123},
D{l:133,t:0,i:911},
D{l:136,t:0,i:278},
D{l:5,t:10,i:430},
D{l:5,t:10,i:932},
D{l:6,t:10,i:131},
D{l:7,t:10,i:417},
D{l:9,t:10,i:522},
D{l:11,t:10,i:314},
D{l:141,t:10,i:390},
D{l:14,t:10,i:149},
D{l:14,t:10,i:399},
D{l:143,t:10,i:57},
D{l:4,t:0,i:151},
D{l:7,t:0,i:1567},
D{l:136,t:0,i:749},
D{l:5,t:11,i:228},
D{l:6,t:11,i:203},
D{l:7,t:11,i:156},
D{l:8,t:11,i:347},
D{l:137,t:11,i:265},
D{l:132,t:10,i:507},
D{l:10,t:0,i:989},
D{l:140,t:0,i:956},
D{l:133,t:0,i:990},
D{l:5,t:0,i:194},
D{l:6,t:0,i:927},
D{l:7,t:0,i:1662},
D{l:9,t:0,i:90},
D{l:140,t:0,i:564},
D{l:4,t:10,i:343},
D{l:133,t:10,i:511},
D{l:133,t:0,i:425},
D{l:7,t:10,i:455},
D{l:138,t:10,i:591},
D{l:4,t:0,i:774},
D{l:7,t:11,i:476},
D{l:7,t:11,i:1592},
D{l:138,t:11,i:87},
D{l:5,t:0,i:971},
D{l:135,t:10,i:1381},
D{l:5,t:11,i:318},
D{l:147,t:11,i:121},
D{l:5,t:11,i:291},
D{l:7,t:11,i:765},
D{l:9,t:11,i:389},
D{l:140,t:11,i:548},
D{l:134,t:10,i:575},
D{l:4,t:0,i:827},
D{l:12,t:0,i:646},
D{l:12,t:0,i:705},
D{l:12,t:0,i:712},
D{l:140,t:0,i:714},
D{l:139,t:0,i:752},
D{l:137,t:0,i:662},
D{l:5,t:0,i:72},
D{l:6,t:0,i:264},
D{l:7,t:0,i:21},
D{l:7,t:0,i:46},
D{l:7,t:0,i:2013},
D{l:8,t:0,i:215},
D{l:8,t:0,i:513},
D{l:10,t:0,i:266},
D{l:139,t:0,i:22},
D{l:139,t:11,i:522},
D{l:6,t:0,i:239},
D{l:7,t:0,i:118},
D{l:10,t:0,i:95},
D{l:11,t:0,i:603},
D{l:13,t:0,i:443},
D{l:14,t:0,i:160},
D{l:143,t:0,i:4},
D{l:6,t:0,i:431},
D{l:134,t:0,i:669},
D{l:7,t:10,i:1127},
D{l:7,t:10,i:1572},
D{l:10,t:10,i:297},
D{l:10,t:10,i:422},
D{l:11,t:10,i:764},
D{l:11,t:10,i:810},
D{l:12,t:10,i:264},
D{l:13,t:10,i:102},
D{l:13,t:10,i:300},
D{l:13,t:10,i:484},
D{l:14,t:10,i:147},
D{l:14,t:10,i:229},
D{l:17,t:10,i:71},
D{l:18,t:10,i:118},
D{l:147,t:10,i:120},
D{l:5,t:0,i:874},
D{l:6,t:0,i:1677},
D{l:15,t:0,i:0},
D{l:10,t:11,i:525},
D{l:139,t:11,i:82},
D{l:6,t:0,i:65},
D{l:7,t:0,i:939},
D{l:7,t:0,i:1172},
D{l:7,t:0,i:1671},
D{l:9,t:0,i:540},
D{l:10,t:0,i:696},
D{l:11,t:0,i:265},
D{l:11,t:0,i:732},
D{l:11,t:0,i:928},
D{l:11,t:0,i:937},
D{l:141,t:0,i:438},
D{l:134,t:0,i:1350},
D{l:136,t:11,i:547},
D{l:132,t:11,i:422},
D{l:5,t:11,i:355},
D{l:145,t:11,i:0},
D{l:137,t:11,i:905},
D{l:5,t:0,i:682},
D{l:135,t:0,i:1887},
D{l:132,t:0,i:809},
D{l:4,t:0,i:696},
D{l:133,t:11,i:865},
D{l:6,t:0,i:1074},
D{l:6,t:0,i:1472},
D{l:14,t:10,i:35},
D{l:142,t:10,i:191},
D{l:5,t:11,i:914},
D{l:134,t:11,i:1625},
D{l:133,t:11,i:234},
D{l:135,t:11,i:1383},
D{l:137,t:11,i:780},
D{l:132,t:10,i:125},
D{l:4,t:0,i:726},
D{l:133,t:0,i:630},
D{l:8,t:0,i:802},
D{l:136,t:0,i:838},
D{l:132,t:10,i:721},
D{l:6,t:0,i:1337},
D{l:7,t:0,i:776},
D{l:19,t:0,i:56},
D{l:136,t:10,i:145},
D{l:132,t:0,i:970},
D{l:7,t:10,i:792},
D{l:8,t:10,i:147},
D{l:10,t:10,i:821},
D{l:139,t:10,i:1021},
D{l:139,t:10,i:970},
D{l:8,t:0,i:940},
D{l:137,t:0,i:797},
D{l:135,t:11,i:1312},
D{l:9,t:0,i:248},
D{l:10,t:0,i:400},
D{l:7,t:11,i:816},
D{l:7,t:11,i:1241},
D{l:7,t:10,i:1999},
D{l:9,t:11,i:283},
D{l:9,t:11,i:520},
D{l:10,t:11,i:213},
D{l:10,t:11,i:307},
D{l:10,t:11,i:463},
D{l:10,t:11,i:671},
D{l:10,t:11,i:746},
D{l:11,t:11,i:401},
D{l:11,t:11,i:794},
D{l:12,t:11,i:517},
D{l:18,t:11,i:107},
D{l:147,t:11,i:115},
D{l:6,t:0,i:1951},
D{l:134,t:0,i:2040},
D{l:135,t:11,i:339},
D{l:13,t:0,i:41},
D{l:15,t:0,i:93},
D{l:5,t:10,i:168},
D{l:5,t:10,i:930},
D{l:8,t:10,i:74},
D{l:9,t:10,i:623},
D{l:12,t:10,i:500},
D{l:140,t:10,i:579},
D{l:6,t:0,i:118},
D{l:7,t:0,i:215},
D{l:7,t:0,i:1521},
D{l:140,t:0,i:11},
D{l:6,t:10,i:220},
D{l:7,t:10,i:1101},
D{l:141,t:10,i:105},
D{l:6,t:11,i:421},
D{l:7,t:11,i:61},
D{l:7,t:11,i:1540},
D{l:10,t:11,i:11},
D{l:138,t:11,i:501},
D{l:7,t:0,i:615},
D{l:138,t:0,i:251},
D{l:140,t:11,i:631},
D{l:135,t:0,i:1044},
D{l:6,t:10,i:19},
D{l:7,t:10,i:1413},
D{l:139,t:10,i:428},
D{l:133,t:0,i:225},
D{l:7,t:10,i:96},
D{l:8,t:10,i:401},
D{l:8,t:10,i:703},
D{l:137,t:10,i:896},
D{l:145,t:10,i:116},
D{l:6,t:11,i:102},
D{l:7,t:11,i:72},
D{l:15,t:11,i:142},
D{l:147,t:11,i:67},
D{l:7,t:10,i:1961},
D{l:7,t:10,i:1965},
D{l:8,t:10,i:702},
D{l:136,t:10,i:750},
D{l:7,t:10,i:2030},
D{l:8,t:10,i:150},
D{l:8,t:10,i:737},
D{l:12,t:10,i:366},
D{l:151,t:11,i:30},
D{l:4,t:0,i:370},
D{l:5,t:0,i:756},
D{l:7,t:0,i:1326},
D{l:135,t:11,i:823},
D{l:8,t:10,i:800},
D{l:9,t:10,i:148},
D{l:9,t:10,i:872},
D{l:9,t:10,i:890},
D{l:11,t:10,i:309},
D{l:11,t:10,i:1001},
D{l:13,t:10,i:267},
D{l:141,t:10,i:323},
D{l:6,t:0,i:1662},
D{l:7,t:0,i:48},
D{l:8,t:0,i:771},
D{l:10,t:0,i:116},
D{l:13,t:0,i:104},
D{l:14,t:0,i:105},
D{l:14,t:0,i:184},
D{l:15,t:0,i:168},
D{l:19,t:0,i:92},
D{l:148,t:0,i:68},
D{l:10,t:0,i:209},
D{l:135,t:11,i:1870},
D{l:7,t:11,i:68},
D{l:8,t:11,i:48},
D{l:8,t:11,i:88},
D{l:8,t:11,i:582},
D{l:8,t:11,i:681},
D{l:9,t:11,i:373},
D{l:9,t:11,i:864},
D{l:11,t:11,i:157},
D{l:11,t:11,i:336},
D{l:11,t:11,i:843},
D{l:148,t:11,i:27},
D{l:134,t:0,i:930},
D{l:4,t:11,i:88},
D{l:5,t:11,i:137},
D{l:5,t:11,i:174},
D{l:5,t:11,i:777},
D{l:6,t:11,i:1664},
D{l:6,t:11,i:1725},
D{l:7,t:11,i:77},
D{l:7,t:11,i:426},
D{l:7,t:11,i:1317},
D{l:7,t:11,i:1355},
D{l:8,t:11,i:126},
D{l:8,t:11,i:563},
D{l:9,t:11,i:523},
D{l:9,t:11,i:750},
D{l:10,t:11,i:310},
D{l:10,t:11,i:836},
D{l:11,t:11,i:42},
D{l:11,t:11,i:318},
D{l:11,t:11,i:731},
D{l:12,t:11,i:68},
D{l:12,t:11,i:92},
D{l:12,t:11,i:507},
D{l:12,t:11,i:692},
D{l:13,t:11,i:81},
D{l:13,t:11,i:238},
D{l:13,t:11,i:374},
D{l:18,t:11,i:138},
D{l:19,t:11,i:78},
D{l:19,t:11,i:111},
D{l:20,t:11,i:55},
D{l:20,t:11,i:77},
D{l:148,t:11,i:92},
D{l:4,t:11,i:938},
D{l:135,t:11,i:1831},
D{l:5,t:10,i:547},
D{l:7,t:10,i:424},
D{l:8,t:11,i:617},
D{l:138,t:11,i:351},
D{l:6,t:0,i:1286},
D{l:6,t:11,i:1668},
D{l:7,t:11,i:1499},
D{l:8,t:11,i:117},
D{l:9,t:11,i:314},
D{l:138,t:11,i:174},
D{l:6,t:0,i:759},
D{l:6,t:0,i:894},
D{l:7,t:11,i:707},
D{l:139,t:11,i:563},
D{l:4,t:0,i:120},
D{l:135,t:0,i:1894},
D{l:9,t:0,i:385},
D{l:149,t:0,i:17},
D{l:138,t:0,i:429},
D{l:133,t:11,i:403},
D{l:5,t:0,i:820},
D{l:135,t:0,i:931},
D{l:10,t:0,i:199},
D{l:133,t:10,i:133},
D{l:6,t:0,i:151},
D{l:6,t:0,i:1675},
D{l:7,t:0,i:383},
D{l:151,t:0,i:10},
D{l:6,t:0,i:761},
D{l:136,t:10,i:187},
D{l:8,t:0,i:365},
D{l:10,t:10,i:0},
D{l:10,t:10,i:818},
D{l:139,t:10,i:988},
D{l:4,t:11,i:44},
D{l:5,t:11,i:311},
D{l:6,t:11,i:156},
D{l:7,t:11,i:639},
D{l:7,t:11,i:762},
D{l:7,t:11,i:1827},
D{l:9,t:11,i:8},
D{l:9,t:11,i:462},
D{l:148,t:11,i:83},
D{l:4,t:11,i:346},
D{l:7,t:11,i:115},
D{l:9,t:11,i:180},
D{l:9,t:11,i:456},
D{l:138,t:11,i:363},
D{l:136,t:10,i:685},
D{l:7,t:0,i:1086},
D{l:145,t:0,i:46},
D{l:6,t:0,i:1624},
D{l:11,t:0,i:11},
D{l:12,t:0,i:422},
D{l:13,t:0,i:444},
D{l:142,t:0,i:360},
D{l:6,t:0,i:1020},
D{l:6,t:0,i:1260},
D{l:134,t:0,i:1589},
D{l:4,t:0,i:43},
D{l:5,t:0,i:344},
D{l:5,t:0,i:357},
D{l:14,t:0,i:472},
D{l:150,t:0,i:58},
D{l:6,t:0,i:1864},
D{l:6,t:0,i:1866},
D{l:6,t:0,i:1868},
D{l:6,t:0,i:1869},
D{l:6,t:0,i:1874},
D{l:6,t:0,i:1877},
D{l:6,t:0,i:1903},
D{l:6,t:0,i:1911},
D{l:9,t:0,i:920},
D{l:9,t:0,i:921},
D{l:9,t:0,i:924},
D{l:9,t:0,i:946},
D{l:9,t:0,i:959},
D{l:9,t:0,i:963},
D{l:9,t:0,i:970},
D{l:9,t:0,i:997},
D{l:9,t:0,i:1008},
D{l:9,t:0,i:1017},
D{l:12,t:0,i:795},
D{l:12,t:0,i:797},
D{l:12,t:0,i:798},
D{l:12,t:0,i:800},
D{l:12,t:0,i:803},
D{l:12,t:0,i:811},
D{l:12,t:0,i:820},
D{l:12,t:0,i:821},
D{l:12,t:0,i:839},
D{l:12,t:0,i:841},
D{l:12,t:0,i:848},
D{l:12,t:0,i:911},
D{l:12,t:0,i:921},
D{l:12,t:0,i:922},
D{l:12,t:0,i:925},
D{l:12,t:0,i:937},
D{l:12,t:0,i:944},
D{l:12,t:0,i:945},
D{l:12,t:0,i:953},
D{l:15,t:0,i:184},
D{l:15,t:0,i:191},
D{l:15,t:0,i:199},
D{l:15,t:0,i:237},
D{l:15,t:0,i:240},
D{l:15,t:0,i:243},
D{l:15,t:0,i:246},
D{l:18,t:0,i:203},
D{l:21,t:0,i:40},
D{l:21,t:0,i:52},
D{l:21,t:0,i:57},
D{l:24,t:0,i:23},
D{l:24,t:0,i:28},
D{l:152,t:0,i:30},
D{l:134,t:0,i:725},
D{l:145,t:11,i:58},
D{l:133,t:0,i:888},
D{l:137,t:10,i:874},
D{l:4,t:0,i:711},
D{l:8,t:10,i:774},
D{l:10,t:10,i:670},
D{l:140,t:10,i:51},
D{l:144,t:11,i:40},
D{l:6,t:11,i:185},
D{l:7,t:11,i:1899},
D{l:139,t:11,i:673},
D{l:137,t:10,i:701},
D{l:137,t:0,i:440},
D{l:4,t:11,i:327},
D{l:5,t:11,i:478},
D{l:7,t:11,i:1332},
D{l:8,t:11,i:753},
D{l:140,t:11,i:227},
D{l:4,t:10,i:127},
D{l:5,t:10,i:350},
D{l:6,t:10,i:356},
D{l:8,t:10,i:426},
D{l:9,t:10,i:572},
D{l:10,t:10,i:247},
D{l:139,t:10,i:312},
D{l:5,t:11,i:1020},
D{l:133,t:11,i:1022},
D{l:4,t:11,i:103},
D{l:133,t:11,i:401},
D{l:6,t:0,i:1913},
D{l:6,t:0,i:1926},
D{l:6,t:0,i:1959},
D{l:9,t:0,i:914},
D{l:9,t:0,i:939},
D{l:9,t:0,i:952},
D{l:9,t:0,i:979},
D{l:9,t:0,i:990},
D{l:9,t:0,i:998},
D{l:9,t:0,i:1003},
D{l:9,t:0,i:1023},
D{l:12,t:0,i:827},
D{l:12,t:0,i:834},
D{l:12,t:0,i:845},
D{l:12,t:0,i:912},
D{l:12,t:0,i:935},
D{l:12,t:0,i:951},
D{l:15,t:0,i:172},
D{l:15,t:0,i:174},
D{l:18,t:0,i:198},
D{l:149,t:0,i:63},
D{l:5,t:0,i:958},
D{l:5,t:0,i:987},
D{l:4,t:11,i:499},
D{l:135,t:11,i:1421},
D{l:7,t:0,i:885},
D{l:6,t:10,i:59},
D{l:6,t:10,i:1762},
D{l:9,t:10,i:603},
D{l:141,t:10,i:397},
D{l:10,t:11,i:62},
D{l:141,t:11,i:164},
D{l:4,t:0,i:847},
D{l:135,t:0,i:326},
D{l:11,t:0,i:276},
D{l:142,t:0,i:293},
D{l:4,t:0,i:65},
D{l:5,t:0,i:479},
D{l:5,t:0,i:1004},
D{l:7,t:0,i:1913},
D{l:8,t:0,i:317},
D{l:9,t:0,i:302},
D{l:10,t:0,i:612},
D{l:13,t:0,i:22},
D{l:132,t:11,i:96},
D{l:4,t:0,i:261},
D{l:135,t:0,i:510},
D{l:135,t:0,i:1514},
D{l:6,t:10,i:111},
D{l:7,t:10,i:4},
D{l:8,t:10,i:163},
D{l:8,t:10,i:776},
D{l:138,t:10,i:566},
D{l:4,t:0,i:291},
D{l:9,t:0,i:515},
D{l:12,t:0,i:152},
D{l:12,t:0,i:443},
D{l:13,t:0,i:392},
D{l:142,t:0,i:357},
D{l:7,t:11,i:399},
D{l:135,t:11,i:1492},
D{l:4,t:0,i:589},
D{l:139,t:0,i:282},
D{l:6,t:11,i:563},
D{l:135,t:10,i:1994},
D{l:5,t:10,i:297},
D{l:135,t:10,i:1038},
D{l:4,t:0,i:130},
D{l:7,t:0,i:843},
D{l:135,t:0,i:1562},
D{l:5,t:0,i:42},
D{l:5,t:0,i:879},
D{l:7,t:0,i:245},
D{l:7,t:0,i:324},
D{l:7,t:0,i:1532},
D{l:11,t:0,i:463},
D{l:11,t:0,i:472},
D{l:13,t:0,i:363},
D{l:144,t:0,i:52},
D{l:4,t:0,i:134},
D{l:133,t:0,i:372},
D{l:133,t:0,i:680},
D{l:136,t:10,i:363},
D{l:6,t:0,i:1997},
D{l:8,t:0,i:935},
D{l:136,t:0,i:977},
D{l:4,t:0,i:810},
D{l:135,t:0,i:1634},
D{l:135,t:10,i:1675},
D{l:7,t:0,i:1390},
D{l:4,t:11,i:910},
D{l:133,t:11,i:832},
D{l:7,t:10,i:808},
D{l:8,t:11,i:266},
D{l:139,t:11,i:578},
D{l:132,t:0,i:644},
D{l:4,t:0,i:982},
D{l:138,t:0,i:867},
D{l:132,t:10,i:280},
D{l:135,t:0,i:540},
D{l:140,t:10,i:54},
D{l:135,t:0,i:123},
D{l:134,t:0,i:1978},
D{l:4,t:10,i:421},
D{l:133,t:10,i:548},
D{l:6,t:0,i:623},
D{l:136,t:0,i:789},
D{l:4,t:0,i:908},
D{l:5,t:0,i:359},
D{l:5,t:0,i:508},
D{l:6,t:0,i:1723},
D{l:7,t:0,i:343},
D{l:7,t:0,i:1996},
D{l:135,t:0,i:2026},
D{l:134,t:0,i:1220},
D{l:4,t:0,i:341},
D{l:135,t:0,i:480},
D{l:6,t:10,i:254},
D{l:9,t:10,i:109},
D{l:138,t:10,i:103},
D{l:134,t:0,i:888},
D{l:8,t:11,i:528},
D{l:137,t:11,i:348},
D{l:7,t:0,i:1995},
D{l:8,t:0,i:299},
D{l:11,t:0,i:890},
D{l:12,t:0,i:674},
D{l:4,t:11,i:20},
D{l:133,t:11,i:616},
D{l:135,t:11,i:1094},
D{l:134,t:10,i:1630},
D{l:4,t:0,i:238},
D{l:5,t:0,i:503},
D{l:6,t:0,i:179},
D{l:7,t:0,i:2003},
D{l:8,t:0,i:381},
D{l:8,t:0,i:473},
D{l:9,t:0,i:149},
D{l:10,t:0,i:788},
D{l:15,t:0,i:45},
D{l:15,t:0,i:86},
D{l:20,t:0,i:110},
D{l:150,t:0,i:57},
D{l:133,t:10,i:671},
D{l:4,t:11,i:26},
D{l:5,t:11,i:429},
D{l:6,t:11,i:245},
D{l:7,t:11,i:704},
D{l:7,t:11,i:1379},
D{l:135,t:11,i:1474},
D{l:4,t:0,i:121},
D{l:5,t:0,i:156},
D{l:5,t:0,i:349},
D{l:9,t:0,i:431},
D{l:10,t:0,i:605},
D{l:142,t:0,i:342},
D{l:7,t:11,i:943},
D{l:139,t:11,i:614},
D{l:132,t:10,i:889},
D{l:132,t:11,i:621},
D{l:7,t:10,i:1382},
D{l:7,t:11,i:1382},
D{l:135,t:10,i:1910},
D{l:132,t:10,i:627},
D{l:133,t:10,i:775},
D{l:133,t:11,i:542},
D{l:133,t:11,i:868},
D{l:136,t:11,i:433},
D{l:6,t:0,i:1373},
D{l:7,t:0,i:1011},
D{l:11,t:10,i:362},
D{l:11,t:10,i:948},
D{l:140,t:10,i:388},
D{l:6,t:0,i:80},
D{l:7,t:0,i:173},
D{l:9,t:0,i:547},
D{l:10,t:0,i:730},
D{l:14,t:0,i:18},
D{l:22,t:0,i:39},
D{l:135,t:11,i:1495},
D{l:6,t:0,i:1694},
D{l:135,t:0,i:1974},
D{l:140,t:0,i:196},
D{l:4,t:0,i:923},
D{l:6,t:0,i:507},
D{l:6,t:0,i:1711},
D{l:7,t:10,i:451},
D{l:8,t:10,i:389},
D{l:12,t:10,i:490},
D{l:13,t:10,i:16},
D{l:13,t:10,i:215},
D{l:13,t:10,i:351},
D{l:18,t:10,i:132},
D{l:147,t:10,i:125},
D{l:6,t:0,i:646},
D{l:134,t:0,i:1047},
D{l:135,t:10,i:841},
D{l:136,t:10,i:566},
D{l:6,t:0,i:1611},
D{l:135,t:0,i:1214},
D{l:139,t:0,i:926},
D{l:132,t:11,i:525},
D{l:132,t:0,i:595},
D{l:5,t:0,i:240},
D{l:6,t:0,i:459},
D{l:7,t:0,i:12},
D{l:7,t:0,i:114},
D{l:7,t:0,i:949},
D{l:7,t:0,i:1753},
D{l:7,t:0,i:1805},
D{l:8,t:0,i:658},
D{l:9,t:0,i:1},
D{l:11,t:0,i:959},
D{l:141,t:0,i:446},
D{l:5,t:10,i:912},
D{l:134,t:10,i:1695},
D{l:132,t:0,i:446},
D{l:7,t:11,i:62},
D{l:12,t:11,i:45},
D{l:147,t:11,i:112},
D{l:5,t:10,i:236},
D{l:6,t:10,i:572},
D{l:8,t:10,i:492},
D{l:11,t:10,i:618},
D{l:144,t:10,i:56},
D{l:5,t:10,i:190},
D{l:136,t:10,i:318},
D{l:135,t:10,i:1376},
D{l:4,t:11,i:223},
D{l:6,t:11,i:359},
D{l:11,t:11,i:3},
D{l:13,t:11,i:108},
D{l:14,t:11,i:89},
D{l:144,t:11,i:22},
D{l:132,t:11,i:647},
D{l:134,t:0,i:490},
D{l:134,t:0,i:491},
D{l:134,t:0,i:1584},
D{l:135,t:11,i:685},
D{l:138,t:11,i:220},
D{l:7,t:0,i:250},
D{l:136,t:0,i:507},
D{l:132,t:0,i:158},
D{l:4,t:0,i:140},
D{l:7,t:0,i:362},
D{l:8,t:0,i:209},
D{l:9,t:0,i:10},
D{l:9,t:0,i:160},
D{l:9,t:0,i:503},
D{l:9,t:0,i:614},
D{l:10,t:0,i:689},
D{l:11,t:0,i:327},
D{l:11,t:0,i:553},
D{l:11,t:0,i:725},
D{l:11,t:0,i:767},
D{l:12,t:0,i:252},
D{l:12,t:0,i:583},
D{l:13,t:0,i:192},
D{l:14,t:0,i:269},
D{l:14,t:0,i:356},
D{l:148,t:0,i:50},
D{l:19,t:0,i:1},
D{l:19,t:0,i:26},
D{l:150,t:0,i:9},
D{l:132,t:11,i:109},
D{l:6,t:0,i:228},
D{l:7,t:0,i:1341},
D{l:9,t:0,i:408},
D{l:138,t:0,i:343},
D{l:4,t:0,i:373},
D{l:5,t:0,i:283},
D{l:6,t:0,i:480},
D{l:7,t:0,i:609},
D{l:10,t:0,i:860},
D{l:138,t:0,i:878},
D{l:6,t:0,i:779},
D{l:134,t:0,i:1209},
D{l:4,t:0,i:557},
D{l:7,t:11,i:263},
D{l:7,t:11,i:628},
D{l:136,t:11,i:349},
D{l:132,t:0,i:548},
D{l:7,t:0,i:197},
D{l:8,t:0,i:142},
D{l:8,t:0,i:325},
D{l:9,t:0,i:150},
D{l:9,t:0,i:596},
D{l:10,t:0,i:350},
D{l:10,t:0,i:353},
D{l:11,t:0,i:74},
D{l:11,t:0,i:315},
D{l:12,t:0,i:662},
D{l:12,t:0,i:681},
D{l:14,t:0,i:423},
D{l:143,t:0,i:141},
D{l:4,t:11,i:40},
D{l:10,t:11,i:67},
D{l:11,t:11,i:117},
D{l:11,t:11,i:768},
D{l:139,t:11,i:935},
D{l:7,t:11,i:992},
D{l:8,t:11,i:301},
D{l:9,t:11,i:722},
D{l:12,t:11,i:63},
D{l:13,t:11,i:29},
D{l:14,t:11,i:161},
D{l:143,t:11,i:18},
D{l:6,t:0,i:1490},
D{l:138,t:11,i:532},
D{l:5,t:0,i:580},
D{l:7,t:0,i:378},
D{l:7,t:0,i:674},
D{l:7,t:0,i:1424},
D{l:15,t:0,i:83},
D{l:16,t:0,i:11},
D{l:15,t:11,i:83},
D{l:144,t:11,i:11},
D{l:6,t:0,i:1057},
D{l:6,t:0,i:1335},
D{l:10,t:0,i:316},
D{l:7,t:10,i:85},
D{l:7,t:10,i:247},
D{l:8,t:10,i:585},
D{l:138,t:10,i:163},
D{l:4,t:0,i:169},
D{l:5,t:0,i:83},
D{l:6,t:0,i:399},
D{l:6,t:0,i:579},
D{l:6,t:0,i:1513},
D{l:7,t:0,i:692},
D{l:7,t:0,i:846},
D{l:7,t:0,i:1015},
D{l:7,t:0,i:1799},
D{l:8,t:0,i:403},
D{l:9,t:0,i:394},
D{l:10,t:0,i:133},
D{l:12,t:0,i:4},
D{l:12,t:0,i:297},
D{l:12,t:0,i:452},
D{l:16,t:0,i:81},
D{l:18,t:0,i:25},
D{l:21,t:0,i:14},
D{l:22,t:0,i:12},
D{l:151,t:0,i:18},
D{l:134,t:0,i:1106},
D{l:7,t:0,i:1546},
D{l:11,t:0,i:299},
D{l:142,t:0,i:407},
D{l:134,t:0,i:1192},
D{l:132,t:0,i:177},
D{l:5,t:0,i:411},
D{l:135,t:0,i:653},
D{l:7,t:0,i:439},
D{l:10,t:0,i:727},
D{l:11,t:0,i:260},
D{l:139,t:0,i:684},
D{l:138,t:10,i:145},
D{l:147,t:10,i:83},
D{l:5,t:0,i:208},
D{l:7,t:0,i:753},
D{l:135,t:0,i:1528},
D{l:137,t:11,i:617},
D{l:135,t:10,i:1922},
D{l:135,t:11,i:825},
D{l:11,t:0,i:422},
D{l:13,t:0,i:389},
D{l:4,t:10,i:124},
D{l:10,t:10,i:457},
D{l:11,t:10,i:121},
D{l:11,t:10,i:169},
D{l:11,t:10,i:870},
D{l:12,t:10,i:214},
D{l:14,t:10,i:187},
D{l:143,t:10,i:77},
D{l:11,t:0,i:615},
D{l:15,t:0,i:58},
D{l:11,t:11,i:615},
D{l:143,t:11,i:58},
D{l:9,t:0,i:618},
D{l:138,t:0,i:482},
D{l:6,t:0,i:1952},
D{l:6,t:0,i:1970},
D{l:142,t:0,i:505},
D{l:7,t:10,i:1193},
D{l:135,t:11,i:1838},
D{l:133,t:0,i:242},
D{l:135,t:10,i:1333},
D{l:6,t:10,i:107},
D{l:7,t:10,i:638},
D{l:7,t:10,i:1632},
D{l:137,t:10,i:396},
D{l:133,t:0,i:953},
D{l:5,t:10,i:370},
D{l:134,t:10,i:1756},
D{l:5,t:11,i:28},
D{l:6,t:11,i:204},
D{l:10,t:11,i:320},
D{l:10,t:11,i:583},
D{l:13,t:11,i:502},
D{l:14,t:11,i:72},
D{l:14,t:11,i:274},
D{l:14,t:11,i:312},
D{l:14,t:11,i:344},
D{l:15,t:11,i:159},
D{l:16,t:11,i:62},
D{l:16,t:11,i:69},
D{l:17,t:11,i:30},
D{l:18,t:11,i:42},
D{l:18,t:11,i:53},
D{l:18,t:11,i:84},
D{l:18,t:11,i:140},
D{l:19,t:11,i:68},
D{l:19,t:11,i:85},
D{l:20,t:11,i:5},
D{l:20,t:11,i:45},
D{l:20,t:11,i:101},
D{l:22,t:11,i:7},
D{l:150,t:11,i:20},
D{l:4,t:11,i:558},
D{l:6,t:11,i:390},
D{l:7,t:11,i:162},
D{l:7,t:11,i:689},
D{l:9,t:11,i:360},
D{l:138,t:11,i:653},
D{l:11,t:0,i:802},
D{l:141,t:0,i:67},
D{l:133,t:10,i:204},
D{l:133,t:0,i:290},
D{l:5,t:10,i:970},
D{l:134,t:10,i:1706},
D{l:132,t:0,i:380},
D{l:5,t:0,i:52},
D{l:7,t:0,i:277},
D{l:9,t:0,i:368},
D{l:139,t:0,i:791},
D{l:5,t:11,i:856},
D{l:6,t:11,i:1672},
D{l:6,t:11,i:1757},
D{l:6,t:11,i:1781},
D{l:7,t:11,i:1150},
D{l:7,t:11,i:1425},
D{l:7,t:11,i:1453},
D{l:140,t:11,i:513},
D{l:5,t:11,i:92},
D{l:7,t:10,i:3},
D{l:10,t:11,i:736},
D{l:140,t:11,i:102},
D{l:4,t:0,i:112},
D{l:5,t:0,i:653},
D{l:5,t:10,i:483},
D{l:5,t:10,i:685},
D{l:6,t:10,i:489},
D{l:7,t:10,i:1204},
D{l:136,t:10,i:394},
D{l:132,t:10,i:921},
D{l:6,t:0,i:1028},
D{l:133,t:10,i:1007},
D{l:5,t:11,i:590},
D{l:9,t:11,i:213},
D{l:145,t:11,i:91},
D{l:135,t:10,i:1696},
D{l:10,t:0,i:138},
D{l:139,t:0,i:476},
D{l:5,t:0,i:725},
D{l:5,t:0,i:727},
D{l:135,t:0,i:1811},
D{l:4,t:0,i:979},
D{l:6,t:0,i:1821},
D{l:6,t:0,i:1838},
D{l:8,t:0,i:876},
D{l:8,t:0,i:883},
D{l:8,t:0,i:889},
D{l:8,t:0,i:893},
D{l:8,t:0,i:895},
D{l:10,t:0,i:934},
D{l:12,t:0,i:720},
D{l:14,t:0,i:459},
D{l:148,t:0,i:123},
D{l:135,t:11,i:551},
D{l:4,t:0,i:38},
D{l:6,t:0,i:435},
D{l:7,t:0,i:307},
D{l:7,t:0,i:999},
D{l:7,t:0,i:1481},
D{l:7,t:0,i:1732},
D{l:7,t:0,i:1738},
D{l:8,t:0,i:371},
D{l:9,t:0,i:414},
D{l:11,t:0,i:316},
D{l:12,t:0,i:52},
D{l:13,t:0,i:420},
D{l:147,t:0,i:100},
D{l:135,t:0,i:1296},
D{l:132,t:10,i:712},
D{l:134,t:10,i:1629},
D{l:133,t:0,i:723},
D{l:134,t:0,i:651},
D{l:136,t:11,i:191},
D{l:9,t:11,i:791},
D{l:10,t:11,i:93},
D{l:11,t:11,i:301},
D{l:16,t:11,i:13},
D{l:17,t:11,i:23},
D{l:18,t:11,i:135},
D{l:19,t:11,i:12},
D{l:20,t:11,i:1},
D{l:20,t:11,i:12},
D{l:148,t:11,i:14},
D{l:136,t:11,i:503},
D{l:6,t:11,i:466},
D{l:135,t:11,i:671},
D{l:6,t:0,i:1200},
D{l:134,t:0,i:1330},
D{l:135,t:0,i:1255},
D{l:134,t:0,i:986},
D{l:5,t:0,i:109},
D{l:6,t:0,i:1784},
D{l:7,t:0,i:1895},
D{l:12,t:0,i:296},
D{l:140,t:0,i:302},
D{l:135,t:11,i:983},
D{l:133,t:10,i:485},
D{l:134,t:0,i:660},
D{l:134,t:0,i:800},
D{l:5,t:0,i:216},
D{l:5,t:0,i:294},
D{l:6,t:0,i:591},
D{l:7,t:0,i:1879},
D{l:9,t:0,i:141},
D{l:9,t:0,i:270},
D{l:9,t:0,i:679},
D{l:10,t:0,i:159},
D{l:11,t:0,i:197},
D{l:11,t:0,i:438},
D{l:12,t:0,i:538},
D{l:12,t:0,i:559},
D{l:14,t:0,i:144},
D{l:14,t:0,i:167},
D{l:15,t:0,i:67},
D{l:4,t:10,i:285},
D{l:5,t:10,i:317},
D{l:6,t:10,i:301},
D{l:7,t:10,i:7},
D{l:8,t:10,i:153},
D{l:10,t:10,i:766},
D{l:11,t:10,i:468},
D{l:12,t:10,i:467},
D{l:141,t:10,i:143},
D{l:136,t:0,i:945},
D{l:134,t:0,i:1090},
D{l:137,t:0,i:81},
D{l:12,t:11,i:468},
D{l:19,t:11,i:96},
D{l:148,t:11,i:24},
D{l:134,t:0,i:391},
D{l:138,t:11,i:241},
D{l:7,t:0,i:322},
D{l:136,t:0,i:249},
D{l:134,t:0,i:1412},
D{l:135,t:11,i:795},
D{l:5,t:0,i:632},
D{l:138,t:0,i:526},
D{l:136,t:10,i:819},
D{l:6,t:0,i:144},
D{l:7,t:0,i:948},
D{l:7,t:0,i:1042},
D{l:8,t:0,i:235},
D{l:8,t:0,i:461},
D{l:9,t:0,i:453},
D{l:9,t:0,i:796},
D{l:10,t:0,i:354},
D{l:17,t:0,i:77},
D{l:135,t:11,i:954},
D{l:139,t:10,i:917},
D{l:6,t:0,i:940},
D{l:134,t:0,i:1228},
D{l:4,t:0,i:362},
D{l:7,t:0,i:52},
D{l:135,t:0,i:303},
D{l:6,t:11,i:549},
D{l:8,t:11,i:34},
D{l:8,t:11,i:283},
D{l:9,t:11,i:165},
D{l:138,t:11,i:475},
D{l:7,t:11,i:370},
D{l:7,t:11,i:1007},
D{l:7,t:11,i:1177},
D{l:135,t:11,i:1565},
D{l:5,t:11,i:652},
D{l:5,t:11,i:701},
D{l:135,t:11,i:449},
D{l:5,t:0,i:196},
D{l:6,t:0,i:486},
D{l:7,t:0,i:212},
D{l:8,t:0,i:309},
D{l:136,t:0,i:346},
D{l:6,t:10,i:1719},
D{l:6,t:10,i:1735},
D{l:7,t:10,i:2016},
D{l:7,t:10,i:2020},
D{l:8,t:10,i:837},
D{l:137,t:10,i:852},
D{l:6,t:11,i:159},
D{l:6,t:11,i:364},
D{l:7,t:11,i:516},
D{l:7,t:11,i:1439},
D{l:137,t:11,i:518},
D{l:135,t:0,i:1912},
D{l:135,t:0,i:1290},
D{l:132,t:0,i:686},
D{l:141,t:11,i:151},
D{l:138,t:0,i:625},
D{l:136,t:0,i:706},
D{l:138,t:10,i:568},
D{l:139,t:0,i:412},
D{l:4,t:0,i:30},
D{l:133,t:0,i:43},
D{l:8,t:10,i:67},
D{l:138,t:10,i:419},
D{l:7,t:0,i:967},
D{l:141,t:0,i:11},
D{l:12,t:0,i:758},
D{l:14,t:0,i:441},
D{l:142,t:0,i:462},
D{l:10,t:10,i:657},
D{l:14,t:10,i:297},
D{l:142,t:10,i:361},
D{l:139,t:10,i:729},
D{l:4,t:0,i:220},
D{l:135,t:0,i:1535},
D{l:7,t:11,i:501},
D{l:9,t:11,i:111},
D{l:10,t:11,i:141},
D{l:11,t:11,i:332},
D{l:13,t:11,i:43},
D{l:13,t:11,i:429},
D{l:14,t:11,i:130},
D{l:14,t:11,i:415},
D{l:145,t:11,i:102},
D{l:4,t:0,i:950},
D{l:6,t:0,i:1859},
D{l:7,t:0,i:11},
D{l:8,t:0,i:873},
D{l:12,t:0,i:710},
D{l:12,t:0,i:718},
D{l:12,t:0,i:748},
D{l:12,t:0,i:765},
D{l:148,t:0,i:124},
D{l:5,t:11,i:149},
D{l:5,t:11,i:935},
D{l:136,t:11,i:233},
D{l:142,t:11,i:291},
D{l:134,t:0,i:1579},
D{l:7,t:0,i:890},
D{l:8,t:10,i:51},
D{l:9,t:10,i:868},
D{l:10,t:10,i:833},
D{l:12,t:10,i:481},
D{l:12,t:10,i:570},
D{l:148,t:10,i:106},
D{l:141,t:0,i:2},
D{l:132,t:10,i:445},
D{l:136,t:11,i:801},
D{l:135,t:0,i:1774},
D{l:7,t:0,i:1725},
D{l:138,t:0,i:393},
D{l:5,t:0,i:263},
D{l:134,t:0,i:414},
D{l:132,t:11,i:322},
D{l:133,t:10,i:239},
D{l:7,t:0,i:456},
D{l:7,t:10,i:1990},
D{l:8,t:10,i:130},
D{l:139,t:10,i:720},
D{l:137,t:0,i:818},
D{l:5,t:10,i:123},
D{l:6,t:10,i:530},
D{l:7,t:10,i:348},
D{l:135,t:10,i:1419},
D{l:135,t:10,i:2024},
D{l:6,t:0,i:178},
D{l:6,t:0,i:1750},
D{l:8,t:0,i:251},
D{l:9,t:0,i:690},
D{l:10,t:0,i:155},
D{l:10,t:0,i:196},
D{l:10,t:0,i:373},
D{l:11,t:0,i:698},
D{l:13,t:0,i:155},
D{l:148,t:0,i:93},
D{l:5,t:0,i:97},
D{l:137,t:0,i:393},
D{l:134,t:0,i:674},
D{l:11,t:0,i:223},
D{l:140,t:0,i:168},
D{l:132,t:10,i:210},
D{l:139,t:11,i:464},
D{l:6,t:0,i:1639},
D{l:146,t:0,i:159},
D{l:139,t:11,i:2},
D{l:7,t:0,i:934},
D{l:8,t:0,i:647},
D{l:17,t:0,i:97},
D{l:19,t:0,i:59},
D{l:150,t:0,i:2},
D{l:132,t:0,i:191},
D{l:5,t:0,i:165},
D{l:9,t:0,i:346},
D{l:10,t:0,i:655},
D{l:11,t:0,i:885},
D{l:4,t:10,i:430},
D{l:135,t:11,i:357},
D{l:133,t:0,i:877},
D{l:5,t:10,i:213},
D{l:133,t:11,i:406},
D{l:8,t:0,i:128},
D{l:139,t:0,i:179},
D{l:6,t:11,i:69},
D{l:135,t:11,i:117},
D{l:135,t:0,i:1297},
D{l:11,t:11,i:43},
D{l:13,t:11,i:72},
D{l:141,t:11,i:142},
D{l:135,t:11,i:1830},
D{l:142,t:0,i:164},
D{l:5,t:0,i:57},
D{l:6,t:0,i:101},
D{l:6,t:0,i:586},
D{l:6,t:0,i:1663},
D{l:7,t:0,i:132},
D{l:7,t:0,i:1154},
D{l:7,t:0,i:1415},
D{l:7,t:0,i:1507},
D{l:12,t:0,i:493},
D{l:15,t:0,i:105},
D{l:151,t:0,i:15},
D{l:5,t:0,i:459},
D{l:7,t:0,i:1073},
D{l:8,t:0,i:241},
D{l:136,t:0,i:334},
D{l:133,t:11,i:826},
D{l:133,t:10,i:108},
D{l:5,t:10,i:219},
D{l:10,t:11,i:132},
D{l:11,t:11,i:191},
D{l:11,t:11,i:358},
D{l:139,t:11,i:460},
D{l:6,t:0,i:324},
D{l:6,t:0,i:520},
D{l:7,t:0,i:338},
D{l:7,t:0,i:1729},
D{l:8,t:0,i:228},
D{l:139,t:0,i:750},
D{l:21,t:0,i:30},
D{l:22,t:0,i:53},
D{l:4,t:10,i:193},
D{l:5,t:10,i:916},
D{l:7,t:10,i:364},
D{l:10,t:10,i:398},
D{l:10,t:10,i:726},
D{l:11,t:10,i:317},
D{l:11,t:10,i:626},
D{l:12,t:10,i:142},
D{l:12,t:10,i:288},
D{l:12,t:10,i:678},
D{l:13,t:10,i:313},
D{l:15,t:10,i:113},
D{l:146,t:10,i:114},
D{l:6,t:11,i:110},
D{l:135,t:11,i:1681},
D{l:135,t:0,i:910},
D{l:6,t:10,i:241},
D{l:7,t:10,i:907},
D{l:8,t:10,i:832},
D{l:9,t:10,i:342},
D{l:10,t:10,i:729},
D{l:11,t:10,i:284},
D{l:11,t:10,i:445},
D{l:11,t:10,i:651},
D{l:11,t:10,i:863},
D{l:13,t:10,i:398},
D{l:146,t:10,i:99},
D{l:7,t:0,i:705},
D{l:9,t:0,i:734},
D{l:5,t:11,i:1000},
D{l:7,t:11,i:733},
D{l:137,t:11,i:583},
D{l:4,t:0,i:73},
D{l:6,t:0,i:612},
D{l:7,t:0,i:927},
D{l:7,t:0,i:1822},
D{l:8,t:0,i:217},
D{l:9,t:0,i:765},
D{l:9,t:0,i:766},
D{l:10,t:0,i:408},
D{l:11,t:0,i:51},
D{l:11,t:0,i:793},
D{l:12,t:0,i:266},
D{l:15,t:0,i:158},
D{l:20,t:0,i:89},
D{l:150,t:0,i:32},
D{l:7,t:0,i:1330},
D{l:4,t:11,i:297},
D{l:6,t:11,i:529},
D{l:7,t:11,i:152},
D{l:7,t:11,i:713},
D{l:7,t:11,i:1845},
D{l:8,t:11,i:710},
D{l:8,t:11,i:717},
D{l:140,t:11,i:639},
D{l:5,t:0,i:389},
D{l:136,t:0,i:636},
D{l:134,t:0,i:1409},
D{l:4,t:10,i:562},
D{l:9,t:10,i:254},
D{l:139,t:10,i:879},
D{l:134,t:0,i:893},
D{l:132,t:10,i:786},
D{l:4,t:11,i:520},
D{l:135,t:11,i:575},
D{l:136,t:0,i:21},
D{l:140,t:0,i:721},
D{l:136,t:0,i:959},
D{l:7,t:11,i:1428},
D{l:7,t:11,i:1640},
D{l:9,t:11,i:169},
D{l:9,t:11,i:182},
D{l:9,t:11,i:367},
D{l:9,t:11,i:478},
D{l:9,t:11,i:506},
D{l:9,t:11,i:551},
D{l:9,t:11,i:648},
D{l:9,t:11,i:651},
D{l:9,t:11,i:697},
D{l:9,t:11,i:705},
D{l:9,t:11,i:725},
D{l:9,t:11,i:787},
D{l:9,t:11,i:794},
D{l:10,t:11,i:198},
D{l:10,t:11,i:214},
D{l:10,t:11,i:267},
D{l:10,t:11,i:275},
D{l:10,t:11,i:456},
D{l:10,t:11,i:551},
D{l:10,t:11,i:561},
D{l:10,t:11,i:613},
D{l:10,t:11,i:627},
D{l:10,t:11,i:668},
D{l:10,t:11,i:675},
D{l:10,t:11,i:691},
D{l:10,t:11,i:695},
D{l:10,t:11,i:707},
D{l:10,t:11,i:715},
D{l:11,t:11,i:183},
D{l:11,t:11,i:201},
D{l:11,t:11,i:244},
D{l:11,t:11,i:262},
D{l:11,t:11,i:352},
D{l:11,t:11,i:439},
D{l:11,t:11,i:493},
D{l:11,t:11,i:572},
D{l:11,t:11,i:591},
D{l:11,t:11,i:608},
D{l:11,t:11,i:611},
D{l:11,t:11,i:646},
D{l:11,t:11,i:674},
D{l:11,t:11,i:711},
D{l:11,t:11,i:751},
D{l:11,t:11,i:761},
D{l:11,t:11,i:776},
D{l:11,t:11,i:785},
D{l:11,t:11,i:850},
D{l:11,t:11,i:853},
D{l:11,t:11,i:862},
D{l:11,t:11,i:865},
D{l:11,t:11,i:868},
D{l:11,t:11,i:898},
D{l:11,t:11,i:902},
D{l:11,t:11,i:903},
D{l:11,t:11,i:910},
D{l:11,t:11,i:932},
D{l:11,t:11,i:942},
D{l:11,t:11,i:957},
D{l:11,t:11,i:967},
D{l:11,t:11,i:972},
D{l:12,t:11,i:148},
D{l:12,t:11,i:195},
D{l:12,t:11,i:220},
D{l:12,t:11,i:237},
D{l:12,t:11,i:318},
D{l:12,t:11,i:339},
D{l:12,t:11,i:393},
D{l:12,t:11,i:445},
D{l:12,t:11,i:450},
D{l:12,t:11,i:474},
D{l:12,t:11,i:509},
D{l:12,t:11,i:533},
D{l:12,t:11,i:591},
D{l:12,t:11,i:594},
D{l:12,t:11,i:597},
D{l:12,t:11,i:621},
D{l:12,t:11,i:633},
D{l:12,t:11,i:642},
D{l:13,t:11,i:59},
D{l:13,t:11,i:60},
D{l:13,t:11,i:145},
D{l:13,t:11,i:239},
D{l:13,t:11,i:250},
D{l:13,t:11,i:273},
D{l:13,t:11,i:329},
D{l:13,t:11,i:344},
D{l:13,t:11,i:365},
D{l:13,t:11,i:372},
D{l:13,t:11,i:387},
D{l:13,t:11,i:403},
D{l:13,t:11,i:414},
D{l:13,t:11,i:456},
D{l:13,t:11,i:478},
D{l:13,t:11,i:483},
D{l:13,t:11,i:489},
D{l:14,t:11,i:55},
D{l:14,t:11,i:57},
D{l:14,t:11,i:81},
D{l:14,t:11,i:90},
D{l:14,t:11,i:148},
D{l:14,t:11,i:239},
D{l:14,t:11,i:266},
D{l:14,t:11,i:321},
D{l:14,t:11,i:326},
D{l:14,t:11,i:327},
D{l:14,t:11,i:330},
D{l:14,t:11,i:347},
D{l:14,t:11,i:355},
D{l:14,t:11,i:401},
D{l:14,t:11,i:411},
D{l:14,t:11,i:414},
D{l:14,t:11,i:416},
D{l:14,t:11,i:420},
D{l:15,t:11,i:61},
D{l:15,t:11,i:74},
D{l:15,t:11,i:87},
D{l:15,t:11,i:88},
D{l:15,t:11,i:94},
D{l:15,t:11,i:96},
D{l:15,t:11,i:116},
D{l:15,t:11,i:149},
D{l:15,t:11,i:154},
D{l:16,t:11,i:50},
D{l:16,t:11,i:63},
D{l:16,t:11,i:73},
D{l:17,t:11,i:2},
D{l:17,t:11,i:66},
D{l:17,t:11,i:92},
D{l:17,t:11,i:103},
D{l:17,t:11,i:112},
D{l:18,t:11,i:50},
D{l:18,t:11,i:54},
D{l:18,t:11,i:82},
D{l:18,t:11,i:86},
D{l:18,t:11,i:90},
D{l:18,t:11,i:111},
D{l:18,t:11,i:115},
D{l:18,t:11,i:156},
D{l:19,t:11,i:40},
D{l:19,t:11,i:79},
D{l:20,t:11,i:78},
D{l:149,t:11,i:22},
D{l:137,t:11,i:170},
D{l:134,t:0,i:1433},
D{l:135,t:11,i:1307},
D{l:139,t:11,i:411},
D{l:5,t:0,i:189},
D{l:7,t:0,i:442},
D{l:7,t:0,i:443},
D{l:8,t:0,i:281},
D{l:12,t:0,i:174},
D{l:141,t:0,i:261},
D{l:6,t:10,i:216},
D{l:7,t:10,i:901},
D{l:7,t:10,i:1343},
D{l:136,t:10,i:493},
D{l:5,t:11,i:397},
D{l:6,t:11,i:154},
D{l:7,t:10,i:341},
D{l:7,t:11,i:676},
D{l:8,t:11,i:443},
D{l:8,t:11,i:609},
D{l:9,t:11,i:24},
D{l:9,t:11,i:325},
D{l:10,t:11,i:35},
D{l:11,t:10,i:219},
D{l:11,t:11,i:535},
D{l:11,t:11,i:672},
D{l:11,t:11,i:1018},
D{l:12,t:11,i:637},
D{l:144,t:11,i:30},
D{l:6,t:0,i:2},
D{l:7,t:0,i:191},
D{l:7,t:0,i:446},
D{l:7,t:0,i:1262},
D{l:7,t:0,i:1737},
D{l:8,t:0,i:22},
D{l:8,t:0,i:270},
D{l:8,t:0,i:612},
D{l:9,t:0,i:4},
D{l:9,t:0,i:312},
D{l:9,t:0,i:436},
D{l:9,t:0,i:626},
D{l:10,t:0,i:216},
D{l:10,t:0,i:311},
D{l:10,t:0,i:521},
D{l:10,t:0,i:623},
D{l:11,t:0,i:72},
D{l:11,t:0,i:330},
D{l:11,t:0,i:455},
D{l:12,t:0,i:321},
D{l:12,t:0,i:504},
D{l:12,t:0,i:530},
D{l:12,t:0,i:543},
D{l:13,t:0,i:17},
D{l:13,t:0,i:156},
D{l:13,t:0,i:334},
D{l:14,t:0,i:131},
D{l:17,t:0,i:60},
D{l:148,t:0,i:64},
D{l:7,t:0,i:354},
D{l:10,t:0,i:410},
D{l:139,t:0,i:815},
D{l:139,t:10,i:130},
D{l:7,t:10,i:1734},
D{l:137,t:11,i:631},
D{l:12,t:0,i:425},
D{l:15,t:0,i:112},
D{l:10,t:10,i:115},
D{l:11,t:10,i:420},
D{l:13,t:10,i:404},
D{l:14,t:10,i:346},
D{l:143,t:10,i:54},
D{l:6,t:0,i:60},
D{l:6,t:0,i:166},
D{l:7,t:0,i:374},
D{l:7,t:0,i:670},
D{l:7,t:0,i:1327},
D{l:8,t:0,i:411},
D{l:8,t:0,i:435},
D{l:9,t:0,i:653},
D{l:9,t:0,i:740},
D{l:10,t:0,i:385},
D{l:11,t:0,i:222},
D{l:11,t:0,i:324},
D{l:11,t:0,i:829},
D{l:140,t:0,i:611},
D{l:7,t:0,i:1611},
D{l:13,t:0,i:14},
D{l:15,t:0,i:44},
D{l:19,t:0,i:13},
D{l:148,t:0,i:76},
D{l:133,t:11,i:981},
D{l:4,t:11,i:56},
D{l:7,t:11,i:1791},
D{l:8,t:11,i:607},
D{l:8,t:11,i:651},
D{l:11,t:11,i:465},
D{l:11,t:11,i:835},
D{l:12,t:11,i:337},
D{l:141,t:11,i:480},
D{l:6,t:0,i:1478},
D{l:5,t:10,i:1011},
D{l:136,t:10,i:701},
D{l:139,t:0,i:596},
D{l:5,t:0,i:206},
D{l:134,t:0,i:398},
D{l:4,t:10,i:54},
D{l:5,t:10,i:666},
D{l:7,t:10,i:1039},
D{l:7,t:10,i:1130},
D{l:9,t:10,i:195},
D{l:138,t:10,i:302},
D{l:7,t:0,i:50},
D{l:9,t:11,i:158},
D{l:138,t:11,i:411},
D{l:135,t:11,i:1120},
D{l:6,t:0,i:517},
D{l:7,t:0,i:1159},
D{l:10,t:0,i:621},
D{l:11,t:0,i:192},
D{l:134,t:10,i:1669},
D{l:4,t:0,i:592},
D{l:6,t:0,i:600},
D{l:135,t:0,i:1653},
D{l:10,t:0,i:223},
D{l:139,t:0,i:645},
D{l:136,t:11,i:139},
D{l:7,t:0,i:64},
D{l:136,t:0,i:245},
D{l:142,t:0,i:278},
D{l:6,t:11,i:622},
D{l:135,t:11,i:1030},
D{l:136,t:0,i:604},
D{l:134,t:0,i:1502},
D{l:138,t:0,i:265},
D{l:141,t:11,i:168},
D{l:7,t:0,i:1763},
D{l:140,t:0,i:310},
D{l:7,t:10,i:798},
D{l:139,t:11,i:719},
D{l:7,t:11,i:160},
D{l:10,t:11,i:624},
D{l:142,t:11,i:279},
D{l:132,t:11,i:363},
D{l:7,t:10,i:122},
D{l:9,t:10,i:259},
D{l:10,t:10,i:84},
D{l:11,t:10,i:470},
D{l:12,t:10,i:541},
D{l:141,t:10,i:379},
D{l:5,t:0,i:129},
D{l:6,t:0,i:61},
D{l:135,t:0,i:947},
D{l:134,t:0,i:1356},
D{l:135,t:11,i:1191},
D{l:13,t:0,i:505},
D{l:141,t:0,i:506},
D{l:11,t:0,i:1000},
D{l:5,t:10,i:82},
D{l:5,t:10,i:131},
D{l:7,t:10,i:1755},
D{l:8,t:10,i:31},
D{l:9,t:10,i:168},
D{l:9,t:10,i:764},
D{l:139,t:10,i:869},
D{l:134,t:0,i:966},
D{l:134,t:10,i:605},
D{l:134,t:11,i:292},
D{l:5,t:11,i:177},
D{l:6,t:11,i:616},
D{l:7,t:11,i:827},
D{l:9,t:11,i:525},
D{l:138,t:11,i:656},
D{l:135,t:11,i:1486},
D{l:138,t:11,i:31},
D{l:5,t:10,i:278},
D{l:137,t:10,i:68},
D{l:4,t:10,i:163},
D{l:5,t:10,i:201},
D{l:5,t:10,i:307},
D{l:5,t:10,i:310},
D{l:6,t:10,i:335},
D{l:7,t:10,i:284},
D{l:136,t:10,i:165},
D{l:6,t:0,i:839},
D{l:135,t:10,i:1660},
D{l:136,t:10,i:781},
D{l:6,t:10,i:33},
D{l:135,t:10,i:1244},
D{l:133,t:0,i:637},
D{l:4,t:11,i:161},
D{l:133,t:11,i:631},
D{l:137,t:0,i:590},
D{l:7,t:10,i:1953},
D{l:136,t:10,i:720},
D{l:5,t:0,i:280},
D{l:7,t:0,i:1226},
D{l:138,t:10,i:203},
D{l:134,t:0,i:1386},
D{l:5,t:0,i:281},
D{l:6,t:0,i:1026},
D{l:6,t:10,i:326},
D{l:7,t:10,i:677},
D{l:137,t:10,i:425},
D{l:7,t:11,i:1557},
D{l:135,t:11,i:1684},
D{l:135,t:0,i:1064},
D{l:9,t:11,i:469},
D{l:9,t:11,i:709},
D{l:12,t:11,i:512},
D{l:14,t:11,i:65},
D{l:145,t:11,i:12},
D{l:134,t:0,i:917},
D{l:10,t:11,i:229},
D{l:11,t:11,i:73},
D{l:11,t:11,i:376},
D{l:139,t:11,i:433},
D{l:7,t:0,i:555},
D{l:9,t:0,i:192},
D{l:13,t:0,i:30},
D{l:13,t:0,i:49},
D{l:15,t:0,i:150},
D{l:16,t:0,i:76},
D{l:20,t:0,i:52},
D{l:7,t:10,i:1316},
D{l:7,t:10,i:1412},
D{l:7,t:10,i:1839},
D{l:9,t:10,i:589},
D{l:11,t:10,i:241},
D{l:11,t:10,i:676},
D{l:11,t:10,i:811},
D{l:11,t:10,i:891},
D{l:12,t:10,i:140},
D{l:12,t:10,i:346},
D{l:12,t:10,i:479},
D{l:13,t:10,i:381},
D{l:14,t:10,i:188},
D{l:146,t:10,i:30},
D{l:149,t:0,i:15},
D{l:6,t:0,i:1882},
D{l:6,t:0,i:1883},
D{l:6,t:0,i:1897},
D{l:9,t:0,i:945},
D{l:9,t:0,i:1014},
D{l:9,t:0,i:1020},
D{l:12,t:0,i:823},
D{l:12,t:0,i:842},
D{l:12,t:0,i:866},
D{l:12,t:0,i:934},
D{l:15,t:0,i:242},
D{l:146,t:0,i:208},
D{l:6,t:0,i:965},
D{l:134,t:0,i:1499},
D{l:7,t:0,i:33},
D{l:7,t:0,i:120},
D{l:8,t:0,i:489},
D{l:9,t:0,i:319},
D{l:10,t:0,i:820},
D{l:11,t:0,i:1004},
D{l:12,t:0,i:379},
D{l:12,t:0,i:679},
D{l:13,t:0,i:117},
D{l:13,t:0,i:412},
D{l:14,t:0,i:25},
D{l:15,t:0,i:52},
D{l:15,t:0,i:161},
D{l:16,t:0,i:47},
D{l:149,t:0,i:2},
D{l:6,t:11,i:558},
D{l:7,t:11,i:651},
D{l:8,t:11,i:421},
D{l:9,t:11,i:0},
D{l:138,t:11,i:34},
D{l:4,t:0,i:937},
D{l:5,t:0,i:801},
D{l:7,t:0,i:473},
D{l:5,t:10,i:358},
D{l:7,t:10,i:1184},
D{l:10,t:10,i:662},
D{l:13,t:10,i:212},
D{l:13,t:10,i:304},
D{l:13,t:10,i:333},
D{l:145,t:10,i:98},
D{l:132,t:0,i:877},
D{l:6,t:0,i:693},
D{l:134,t:0,i:824},
D{l:132,t:0,i:365},
D{l:7,t:11,i:1832},
D{l:138,t:11,i:374},
D{l:5,t:0,i:7},
D{l:139,t:0,i:774},
D{l:4,t:0,i:734},
D{l:5,t:0,i:662},
D{l:134,t:0,i:430},
D{l:4,t:0,i:746},
D{l:135,t:0,i:1090},
D{l:5,t:0,i:360},
D{l:8,t:0,i:237},
D{l:10,t:0,i:231},
D{l:147,t:0,i:124},
D{l:138,t:11,i:348},
D{l:6,t:11,i:6},
D{l:7,t:11,i:81},
D{l:7,t:11,i:771},
D{l:7,t:11,i:1731},
D{l:9,t:11,i:405},
D{l:138,t:11,i:421},
D{l:6,t:0,i:740},
D{l:137,t:0,i:822},
D{l:133,t:10,i:946},
D{l:7,t:0,i:1485},
D{l:136,t:0,i:929},
D{l:7,t:10,i:411},
D{l:8,t:10,i:631},
D{l:9,t:10,i:323},
D{l:10,t:10,i:355},
D{l:11,t:10,i:491},
D{l:12,t:10,i:143},
D{l:12,t:10,i:402},
D{l:13,t:10,i:73},
D{l:14,t:10,i:408},
D{l:15,t:10,i:107},
D{l:146,t:10,i:71},
D{l:135,t:10,i:590},
D{l:5,t:11,i:881},
D{l:133,t:11,i:885},
D{l:150,t:11,i:25},
D{l:4,t:0,i:852},
D{l:5,t:11,i:142},
D{l:134,t:11,i:546},
D{l:7,t:10,i:1467},
D{l:8,t:10,i:328},
D{l:10,t:10,i:544},
D{l:11,t:10,i:955},
D{l:13,t:10,i:320},
D{l:145,t:10,i:83},
D{l:9,t:0,i:17},
D{l:10,t:0,i:291},
D{l:11,t:10,i:511},
D{l:13,t:10,i:394},
D{l:14,t:10,i:298},
D{l:14,t:10,i:318},
D{l:146,t:10,i:103},
D{l:5,t:11,i:466},
D{l:11,t:11,i:571},
D{l:12,t:11,i:198},
D{l:13,t:11,i:283},
D{l:14,t:11,i:186},
D{l:15,t:11,i:21},
D{l:143,t:11,i:103},
D{l:134,t:0,i:1001},
D{l:4,t:11,i:185},
D{l:5,t:11,i:257},
D{l:5,t:11,i:839},
D{l:5,t:11,i:936},
D{l:7,t:11,i:171},
D{l:9,t:11,i:399},
D{l:10,t:11,i:258},
D{l:10,t:11,i:395},
D{l:10,t:11,i:734},
D{l:11,t:11,i:1014},
D{l:12,t:11,i:23},
D{l:13,t:11,i:350},
D{l:14,t:11,i:150},
D{l:147,t:11,i:6},
D{l:143,t:0,i:35},
D{l:132,t:0,i:831},
D{l:5,t:10,i:835},
D{l:134,t:10,i:483},
D{l:4,t:0,i:277},
D{l:5,t:0,i:608},
D{l:6,t:0,i:493},
D{l:7,t:0,i:457},
D{l:12,t:0,i:384},
D{l:7,t:11,i:404},
D{l:7,t:11,i:1377},
D{l:7,t:11,i:1430},
D{l:7,t:11,i:2017},
D{l:8,t:11,i:149},
D{l:8,t:11,i:239},
D{l:8,t:11,i:512},
D{l:8,t:11,i:793},
D{l:8,t:11,i:818},
D{l:9,t:11,i:474},
D{l:9,t:11,i:595},
D{l:10,t:11,i:122},
D{l:10,t:11,i:565},
D{l:10,t:11,i:649},
D{l:10,t:11,i:783},
D{l:11,t:11,i:239},
D{l:11,t:11,i:295},
D{l:11,t:11,i:447},
D{l:11,t:11,i:528},
D{l:11,t:11,i:639},
D{l:11,t:11,i:800},
D{l:11,t:11,i:936},
D{l:12,t:11,i:25},
D{l:12,t:11,i:73},
D{l:12,t:11,i:77},
D{l:12,t:11,i:157},
D{l:12,t:11,i:316},
D{l:12,t:11,i:390},
D{l:12,t:11,i:391},
D{l:12,t:11,i:394},
D{l:12,t:11,i:395},
D{l:12,t:11,i:478},
D{l:12,t:11,i:503},
D{l:12,t:11,i:592},
D{l:12,t:11,i:680},
D{l:13,t:11,i:50},
D{l:13,t:11,i:53},
D{l:13,t:11,i:132},
D{l:13,t:11,i:198},
D{l:13,t:11,i:275},
D{l:13,t:11,i:322},
D{l:13,t:11,i:415},
D{l:14,t:11,i:71},
D{l:14,t:11,i:257},
D{l:14,t:11,i:395},
D{l:15,t:11,i:71},
D{l:15,t:11,i:136},
D{l:17,t:11,i:123},
D{l:18,t:11,i:93},
D{l:147,t:11,i:58},
D{l:134,t:0,i:1351},
D{l:7,t:0,i:27},
D{l:135,t:0,i:316},
D{l:136,t:11,i:712},
D{l:136,t:0,i:984},
D{l:133,t:0,i:552},
D{l:137,t:0,i:264},
D{l:132,t:0,i:401},
D{l:6,t:0,i:710},
D{l:6,t:0,i:1111},
D{l:134,t:0,i:1343},
D{l:134,t:0,i:1211},
D{l:9,t:0,i:543},
D{l:10,t:0,i:524},
D{l:11,t:0,i:108},
D{l:11,t:0,i:653},
D{l:12,t:0,i:524},
D{l:13,t:0,i:123},
D{l:14,t:0,i:252},
D{l:16,t:0,i:18},
D{l:19,t:0,i:38},
D{l:20,t:0,i:26},
D{l:20,t:0,i:65},
D{l:21,t:0,i:3},
D{l:151,t:0,i:11},
D{l:4,t:0,i:205},
D{l:5,t:0,i:623},
D{l:7,t:0,i:104},
D{l:8,t:0,i:519},
D{l:137,t:0,i:716},
D{l:132,t:10,i:677},
D{l:4,t:11,i:377},
D{l:152,t:11,i:13},
D{l:135,t:11,i:1673},
D{l:7,t:0,i:579},
D{l:9,t:0,i:41},
D{l:9,t:0,i:244},
D{l:9,t:0,i:669},
D{l:10,t:0,i:5},
D{l:11,t:0,i:861},
D{l:11,t:0,i:951},
D{l:139,t:0,i:980},
D{l:132,t:0,i:717},
D{l:136,t:0,i:1011},
D{l:132,t:0,i:805},
D{l:4,t:11,i:180},
D{l:135,t:11,i:1906},
D{l:132,t:10,i:777},
D{l:132,t:10,i:331},
D{l:132,t:0,i:489},
D{l:6,t:0,i:1024},
D{l:4,t:11,i:491},
D{l:133,t:10,i:747},
D{l:135,t:11,i:1182},
D{l:4,t:11,i:171},
D{l:138,t:11,i:234},
D{l:4,t:11,i:586},
D{l:7,t:11,i:1186},
D{l:138,t:11,i:631},
D{l:135,t:0,i:892},
D{l:135,t:11,i:336},
D{l:9,t:11,i:931},
D{l:10,t:11,i:334},
D{l:148,t:11,i:71},
D{l:137,t:0,i:473},
D{l:6,t:0,i:864},
D{l:12,t:0,i:659},
D{l:139,t:11,i:926},
D{l:7,t:0,i:819},
D{l:9,t:0,i:26},
D{l:9,t:0,i:392},
D{l:10,t:0,i:152},
D{l:10,t:0,i:226},
D{l:11,t:0,i:19},
D{l:12,t:0,i:276},
D{l:12,t:0,i:426},
D{l:12,t:0,i:589},
D{l:13,t:0,i:460},
D{l:15,t:0,i:97},
D{l:19,t:0,i:48},
D{l:148,t:0,i:104},
D{l:135,t:0,i:51},
D{l:133,t:10,i:326},
D{l:4,t:10,i:691},
D{l:146,t:10,i:16},
D{l:9,t:0,i:130},
D{l:11,t:0,i:765},
D{l:10,t:10,i:680},
D{l:10,t:10,i:793},
D{l:141,t:10,i:357},
D{l:133,t:11,i:765},
D{l:8,t:0,i:229},
D{l:6,t:10,i:32},
D{l:7,t:10,i:385},
D{l:7,t:10,i:757},
D{l:7,t:10,i:1916},
D{l:8,t:10,i:94},
D{l:8,t:10,i:711},
D{l:9,t:10,i:541},
D{l:10,t:10,i:162},
D{l:10,t:10,i:795},
D{l:11,t:10,i:989},
D{l:11,t:10,i:1010},
D{l:12,t:10,i:14},
D{l:142,t:10,i:308},
D{l:7,t:11,i:474},
D{l:137,t:11,i:578},
D{l:132,t:0,i:674},
D{l:132,t:0,i:770},
D{l:5,t:0,i:79},
D{l:7,t:0,i:1027},
D{l:7,t:0,i:1477},
D{l:139,t:0,i:52},
D{l:133,t:11,i:424},
D{l:134,t:0,i:1666},
D{l:6,t:0,i:409},
D{l:6,t:10,i:349},
D{l:6,t:10,i:1682},
D{l:7,t:10,i:1252},
D{l:8,t:10,i:112},
D{l:8,t:11,i:714},
D{l:9,t:10,i:435},
D{l:9,t:10,i:668},
D{l:10,t:10,i:290},
D{l:10,t:10,i:319},
D{l:10,t:10,i:815},
D{l:11,t:10,i:180},
D{l:11,t:10,i:837},
D{l:12,t:10,i:240},
D{l:13,t:10,i:152},
D{l:13,t:10,i:219},
D{l:142,t:10,i:158},
D{l:5,t:0,i:789},
D{l:134,t:0,i:195},
D{l:4,t:0,i:251},
D{l:4,t:0,i:688},
D{l:7,t:0,i:513},
D{l:135,t:0,i:1284},
D{l:132,t:10,i:581},
D{l:9,t:11,i:420},
D{l:10,t:11,i:269},
D{l:10,t:11,i:285},
D{l:10,t:11,i:576},
D{l:11,t:11,i:397},
D{l:13,t:11,i:175},
D{l:145,t:11,i:90},
D{l:6,t:10,i:126},
D{l:7,t:10,i:573},
D{l:8,t:10,i:397},
D{l:142,t:10,i:44},
D{l:132,t:11,i:429},
D{l:133,t:0,i:889},
D{l:4,t:0,i:160},
D{l:5,t:0,i:330},
D{l:7,t:0,i:1434},
D{l:136,t:0,i:174},
D{l:7,t:11,i:18},
D{l:7,t:11,i:699},
D{l:7,t:11,i:1966},
D{l:8,t:11,i:752},
D{l:9,t:11,i:273},
D{l:9,t:11,i:412},
D{l:9,t:11,i:703},
D{l:10,t:11,i:71},
D{l:10,t:11,i:427},
D{l:10,t:11,i:508},
D{l:146,t:11,i:97},
D{l:6,t:0,i:872},
D{l:134,t:0,i:899},
D{l:133,t:10,i:926},
D{l:134,t:0,i:1126},
D{l:134,t:0,i:918},
D{l:4,t:11,i:53},
D{l:5,t:11,i:186},
D{l:135,t:11,i:752},
D{l:7,t:0,i:268},
D{l:136,t:0,i:569},
D{l:134,t:0,i:1224},
D{l:6,t:0,i:1361},
D{l:7,t:10,i:1232},
D{l:137,t:10,i:531},
D{l:8,t:11,i:575},
D{l:10,t:11,i:289},
D{l:139,t:11,i:319},
D{l:133,t:10,i:670},
D{l:132,t:11,i:675},
D{l:133,t:0,i:374},
D{l:135,t:10,i:1957},
D{l:133,t:0,i:731},
D{l:11,t:0,i:190},
D{l:15,t:0,i:49},
D{l:11,t:11,i:190},
D{l:143,t:11,i:49},
D{l:4,t:0,i:626},
D{l:5,t:0,i:506},
D{l:5,t:0,i:642},
D{l:6,t:0,i:425},
D{l:10,t:0,i:202},
D{l:139,t:0,i:141},
D{l:137,t:0,i:444},
D{l:7,t:10,i:242},
D{l:135,t:10,i:1942},
D{l:6,t:11,i:209},
D{l:8,t:11,i:468},
D{l:9,t:11,i:210},
D{l:11,t:11,i:36},
D{l:12,t:11,i:28},
D{l:12,t:11,i:630},
D{l:13,t:11,i:21},
D{l:13,t:11,i:349},
D{l:14,t:11,i:7},
D{l:145,t:11,i:13},
D{l:4,t:11,i:342},
D{l:135,t:11,i:1179},
D{l:5,t:10,i:834},
D{l:7,t:10,i:1202},
D{l:8,t:10,i:14},
D{l:9,t:10,i:481},
D{l:137,t:10,i:880},
D{l:4,t:11,i:928},
D{l:133,t:11,i:910},
D{l:4,t:11,i:318},
D{l:4,t:11,i:496},
D{l:7,t:11,i:856},
D{l:139,t:11,i:654},
D{l:136,t:0,i:835},
D{l:7,t:0,i:1526},
D{l:138,t:10,i:465},
D{l:151,t:0,i:17},
D{l:135,t:0,i:477},
D{l:4,t:10,i:357},
D{l:6,t:10,i:172},
D{l:7,t:10,i:143},
D{l:137,t:10,i:413},
D{l:6,t:0,i:1374},
D{l:138,t:0,i:994},
D{l:18,t:0,i:76},
D{l:132,t:10,i:590},
D{l:7,t:0,i:287},
D{l:8,t:0,i:355},
D{l:9,t:0,i:293},
D{l:137,t:0,i:743},
D{l:134,t:0,i:1389},
D{l:7,t:11,i:915},
D{l:8,t:11,i:247},
D{l:147,t:11,i:0},
D{l:4,t:11,i:202},
D{l:5,t:11,i:382},
D{l:6,t:11,i:454},
D{l:7,t:11,i:936},
D{l:7,t:11,i:1803},
D{l:8,t:11,i:758},
D{l:9,t:11,i:375},
D{l:9,t:11,i:895},
D{l:10,t:11,i:743},
D{l:10,t:11,i:792},
D{l:11,t:11,i:978},
D{l:11,t:11,i:1012},
D{l:142,t:11,i:109},
D{l:5,t:0,i:384},
D{l:8,t:0,i:455},
D{l:140,t:0,i:48},
D{l:132,t:11,i:390},
D{l:5,t:10,i:169},
D{l:7,t:10,i:333},
D{l:136,t:10,i:45},
D{l:5,t:0,i:264},
D{l:134,t:0,i:184},
D{l:138,t:11,i:791},
D{l:133,t:11,i:717},
D{l:132,t:10,i:198},
D{l:6,t:11,i:445},
D{l:7,t:11,i:332},
D{l:137,t:11,i:909},
D{l:136,t:0,i:1001},
D{l:4,t:10,i:24},
D{l:5,t:10,i:140},
D{l:5,t:10,i:185},
D{l:7,t:10,i:1500},
D{l:11,t:10,i:565},
D{l:139,t:10,i:838},
D{l:134,t:11,i:578},
D{l:5,t:0,i:633},
D{l:6,t:0,i:28},
D{l:135,t:0,i:1323},
D{l:132,t:0,i:851},
D{l:136,t:11,i:267},
D{l:7,t:0,i:359},
D{l:8,t:0,i:243},
D{l:140,t:0,i:175},
D{l:4,t:10,i:334},
D{l:133,t:10,i:593},
D{l:141,t:11,i:87},
D{l:136,t:11,i:766},
D{l:10,t:0,i:287},
D{l:12,t:0,i:138},
D{l:10,t:11,i:287},
D{l:140,t:11,i:138},
D{l:4,t:0,i:105},
D{l:132,t:0,i:740},
D{l:140,t:10,i:116},
D{l:134,t:0,i:857},
D{l:135,t:11,i:1841},
D{l:6,t:0,i:1402},
D{l:137,t:0,i:819},
D{l:132,t:11,i:584},
D{l:132,t:10,i:709},
D{l:133,t:10,i:897},
D{l:5,t:0,i:224},
D{l:13,t:0,i:174},
D{l:146,t:0,i:52},
D{l:135,t:10,i:1840},
D{l:4,t:10,i:608},
D{l:133,t:10,i:497},
D{l:139,t:11,i:60},
D{l:4,t:0,i:758},
D{l:135,t:0,i:1649},
D{l:4,t:11,i:226},
D{l:4,t:11,i:326},
D{l:135,t:11,i:1770},
D{l:5,t:11,i:426},
D{l:8,t:11,i:30},
D{l:9,t:11,i:2},
D{l:11,t:11,i:549},
D{l:147,t:11,i:122},
D{l:135,t:10,i:2039},
D{l:6,t:10,i:540},
D{l:136,t:10,i:136},
D{l:4,t:0,i:573},
D{l:8,t:0,i:655},
D{l:4,t:10,i:897},
D{l:133,t:10,i:786},
D{l:7,t:0,i:351},
D{l:139,t:0,i:128},
D{l:133,t:10,i:999},
D{l:4,t:10,i:299},
D{l:135,t:10,i:1004},
D{l:133,t:0,i:918},
D{l:132,t:11,i:345},
D{l:4,t:11,i:385},
D{l:7,t:11,i:265},
D{l:135,t:11,i:587},
D{l:133,t:10,i:456},
D{l:136,t:10,i:180},
D{l:6,t:0,i:687},
D{l:134,t:0,i:1537},
D{l:4,t:11,i:347},
D{l:5,t:11,i:423},
D{l:5,t:11,i:996},
D{l:135,t:11,i:1329},
D{l:132,t:10,i:755},
D{l:7,t:11,i:1259},
D{l:9,t:11,i:125},
D{l:11,t:11,i:65},
D{l:140,t:11,i:285},
D{l:5,t:11,i:136},
D{l:6,t:11,i:136},
D{l:136,t:11,i:644},
D{l:134,t:0,i:1525},
D{l:4,t:0,i:1009},
D{l:135,t:0,i:1139},
D{l:139,t:10,i:338},
D{l:132,t:0,i:340},
D{l:135,t:10,i:1464},
D{l:8,t:0,i:847},
D{l:10,t:0,i:861},
D{l:10,t:0,i:876},
D{l:10,t:0,i:889},
D{l:10,t:0,i:922},
D{l:10,t:0,i:929},
D{l:10,t:0,i:933},
D{l:12,t:0,i:784},
D{l:140,t:0,i:791},
D{l:139,t:0,i:176},
D{l:9,t:11,i:134},
D{l:10,t:11,i:2},
D{l:10,t:11,i:27},
D{l:10,t:11,i:333},
D{l:11,t:11,i:722},
D{l:143,t:11,i:1},
D{l:4,t:11,i:433},
D{l:133,t:11,i:719},
D{l:5,t:0,i:985},
D{l:7,t:0,i:509},
D{l:7,t:0,i:529},
D{l:145,t:0,i:96},
D{l:132,t:0,i:615},
D{l:4,t:10,i:890},
D{l:5,t:10,i:805},
D{l:5,t:10,i:819},
D{l:5,t:10,i:961},
D{l:6,t:10,i:396},
D{l:6,t:10,i:1631},
D{l:6,t:10,i:1678},
D{l:7,t:10,i:1967},
D{l:7,t:10,i:2041},
D{l:9,t:10,i:630},
D{l:11,t:10,i:8},
D{l:11,t:10,i:1019},
D{l:12,t:10,i:176},
D{l:13,t:10,i:225},
D{l:14,t:10,i:292},
D{l:149,t:10,i:24},
D{l:135,t:0,i:1919},
D{l:134,t:0,i:1131},
D{l:144,t:11,i:21},
D{l:144,t:11,i:51},
D{l:135,t:10,i:1815},
D{l:4,t:0,i:247},
D{l:7,t:10,i:1505},
D{l:10,t:10,i:190},
D{l:10,t:10,i:634},
D{l:11,t:10,i:792},
D{l:12,t:10,i:358},
D{l:140,t:10,i:447},
D{l:5,t:10,i:0},
D{l:6,t:10,i:536},
D{l:7,t:10,i:604},
D{l:13,t:10,i:445},
D{l:145,t:10,i:126},
D{l:4,t:0,i:184},
D{l:5,t:0,i:390},
D{l:6,t:0,i:337},
D{l:7,t:0,i:23},
D{l:7,t:0,i:494},
D{l:7,t:0,i:618},
D{l:7,t:0,i:1456},
D{l:8,t:0,i:27},
D{l:8,t:0,i:599},
D{l:10,t:0,i:153},
D{l:139,t:0,i:710},
D{l:6,t:10,i:232},
D{l:6,t:10,i:412},
D{l:7,t:10,i:1074},
D{l:8,t:10,i:9},
D{l:8,t:10,i:157},
D{l:8,t:10,i:786},
D{l:9,t:10,i:196},
D{l:9,t:10,i:352},
D{l:9,t:10,i:457},
D{l:10,t:10,i:337},
D{l:11,t:10,i:232},
D{l:11,t:10,i:877},
D{l:12,t:10,i:480},
D{l:140,t:10,i:546},
D{l:13,t:0,i:38},
D{l:135,t:10,i:958},
D{l:4,t:10,i:382},
D{l:136,t:10,i:579},
D{l:4,t:10,i:212},
D{l:135,t:10,i:1206},
D{l:4,t:11,i:555},
D{l:8,t:11,i:536},
D{l:138,t:11,i:288},
D{l:11,t:11,i:139},
D{l:139,t:11,i:171},
D{l:9,t:11,i:370},
D{l:138,t:11,i:90},
D{l:132,t:0,i:1015},
D{l:134,t:0,i:1088},
D{l:5,t:10,i:655},
D{l:135,t:11,i:977},
D{l:134,t:0,i:1585},
D{l:17,t:10,i:67},
D{l:147,t:10,i:74},
D{l:10,t:0,i:227},
D{l:11,t:0,i:497},
D{l:11,t:0,i:709},
D{l:140,t:0,i:415},
D{l:6,t:0,i:360},
D{l:7,t:0,i:1664},
D{l:136,t:0,i:478},
D{l:7,t:0,i:95},
D{l:6,t:10,i:231},
D{l:136,t:10,i:423},
D{l:140,t:11,i:65},
D{l:4,t:11,i:257},
D{l:135,t:11,i:2031},
D{l:135,t:11,i:1768},
D{l:133,t:10,i:300},
D{l:139,t:11,i:211},
D{l:136,t:0,i:699},
D{l:6,t:10,i:237},
D{l:7,t:10,i:611},
D{l:8,t:10,i:100},
D{l:9,t:10,i:416},
D{l:11,t:10,i:335},
D{l:12,t:10,i:173},
D{l:146,t:10,i:101},
D{l:14,t:0,i:26},
D{l:146,t:0,i:150},
D{l:6,t:0,i:581},
D{l:135,t:0,i:1119},
D{l:135,t:10,i:1208},
D{l:132,t:0,i:739},
D{l:6,t:11,i:83},
D{l:6,t:11,i:1733},
D{l:135,t:11,i:1389},
D{l:137,t:0,i:869},
D{l:4,t:0,i:67},
D{l:5,t:0,i:422},
D{l:7,t:0,i:1037},
D{l:7,t:0,i:1289},
D{l:7,t:0,i:1555},
D{l:9,t:0,i:741},
D{l:145,t:0,i:108},
D{l:133,t:10,i:199},
D{l:12,t:10,i:427},
D{l:146,t:10,i:38},
D{l:136,t:0,i:464},
D{l:142,t:0,i:42},
D{l:10,t:0,i:96},
D{l:8,t:11,i:501},
D{l:137,t:11,i:696},
D{l:134,t:11,i:592},
D{l:4,t:0,i:512},
D{l:4,t:0,i:966},
D{l:5,t:0,i:342},
D{l:6,t:0,i:1855},
D{l:8,t:0,i:869},
D{l:8,t:0,i:875},
D{l:8,t:0,i:901},
D{l:144,t:0,i:26},
D{l:8,t:0,i:203},
D{l:11,t:0,i:823},
D{l:11,t:0,i:846},
D{l:12,t:0,i:482},
D{l:13,t:0,i:277},
D{l:13,t:0,i:302},
D{l:13,t:0,i:464},
D{l:14,t:0,i:205},
D{l:142,t:0,i:221},
D{l:4,t:0,i:449},
D{l:133,t:0,i:718},
D{l:7,t:11,i:1718},
D{l:9,t:11,i:95},
D{l:9,t:11,i:274},
D{l:10,t:11,i:279},
D{l:10,t:11,i:317},
D{l:10,t:11,i:420},
D{l:11,t:11,i:303},
D{l:11,t:11,i:808},
D{l:12,t:11,i:134},
D{l:12,t:11,i:367},
D{l:13,t:11,i:149},
D{l:13,t:11,i:347},
D{l:14,t:11,i:349},
D{l:14,t:11,i:406},
D{l:18,t:11,i:22},
D{l:18,t:11,i:89},
D{l:18,t:11,i:122},
D{l:147,t:11,i:47},
D{l:133,t:11,i:26},
D{l:4,t:0,i:355},
D{l:6,t:0,i:311},
D{l:9,t:0,i:256},
D{l:138,t:0,i:404},
D{l:132,t:11,i:550},
D{l:10,t:0,i:758},
D{l:6,t:10,i:312},
D{l:6,t:10,i:1715},
D{l:10,t:10,i:584},
D{l:11,t:10,i:546},
D{l:11,t:10,i:692},
D{l:12,t:10,i:259},
D{l:12,t:10,i:295},
D{l:13,t:10,i:46},
D{l:141,t:10,i:154},
D{l:136,t:11,i:822},
D{l:5,t:0,i:827},
D{l:4,t:11,i:902},
D{l:5,t:11,i:809},
D{l:6,t:11,i:122},
D{l:135,t:11,i:896},
D{l:5,t:0,i:64},
D{l:140,t:0,i:581},
D{l:4,t:0,i:442},
D{l:6,t:0,i:739},
D{l:7,t:0,i:1047},
D{l:7,t:0,i:1352},
D{l:7,t:0,i:1643},
D{l:7,t:11,i:1911},
D{l:9,t:11,i:449},
D{l:10,t:11,i:192},
D{l:138,t:11,i:740},
D{l:135,t:11,i:262},
D{l:132,t:10,i:588},
D{l:133,t:11,i:620},
D{l:5,t:0,i:977},
D{l:6,t:0,i:288},
D{l:7,t:0,i:528},
D{l:4,t:11,i:34},
D{l:5,t:11,i:574},
D{l:7,t:11,i:279},
D{l:7,t:11,i:1624},
D{l:136,t:11,i:601},
D{l:6,t:0,i:1375},
D{l:4,t:10,i:231},
D{l:5,t:10,i:61},
D{l:6,t:10,i:104},
D{l:7,t:10,i:729},
D{l:7,t:10,i:964},
D{l:7,t:10,i:1658},
D{l:140,t:10,i:414},
D{l:6,t:10,i:263},
D{l:138,t:10,i:757},
D{l:132,t:10,i:320},
D{l:4,t:0,i:254},
D{l:7,t:0,i:1309},
D{l:5,t:11,i:332},
D{l:135,t:11,i:1309},
D{l:6,t:11,i:261},
D{l:8,t:11,i:182},
D{l:139,t:11,i:943},
D{l:132,t:10,i:225},
D{l:6,t:0,i:12},
D{l:135,t:0,i:1219},
D{l:4,t:0,i:275},
D{l:12,t:0,i:376},
D{l:6,t:11,i:1721},
D{l:141,t:11,i:490},
D{l:4,t:11,i:933},
D{l:133,t:11,i:880},
D{l:6,t:0,i:951},
D{l:6,t:0,i:1109},
D{l:6,t:0,i:1181},
D{l:7,t:0,i:154},
D{l:4,t:10,i:405},
D{l:7,t:10,i:817},
D{l:14,t:10,i:58},
D{l:17,t:10,i:37},
D{l:146,t:10,i:124},
D{l:6,t:0,i:1520},
D{l:133,t:10,i:974},
D{l:134,t:0,i:1753},
D{l:6,t:0,i:369},
D{l:6,t:0,i:502},
D{l:7,t:0,i:1036},
D{l:8,t:0,i:348},
D{l:9,t:0,i:452},
D{l:10,t:0,i:26},
D{l:11,t:0,i:224},
D{l:11,t:0,i:387},
D{l:11,t:0,i:772},
D{l:12,t:0,i:95},
D{l:12,t:0,i:629},
D{l:13,t:0,i:195},
D{l:13,t:0,i:207},
D{l:13,t:0,i:241},
D{l:14,t:0,i:260},
D{l:14,t:0,i:270},
D{l:143,t:0,i:140},
D{l:132,t:0,i:269},
D{l:5,t:0,i:480},
D{l:7,t:0,i:532},
D{l:7,t:0,i:1197},
D{l:7,t:0,i:1358},
D{l:8,t:0,i:291},
D{l:11,t:0,i:349},
D{l:142,t:0,i:396},
D{l:5,t:10,i:235},
D{l:7,t:10,i:1239},
D{l:11,t:10,i:131},
D{l:140,t:10,i:370},
D{l:7,t:10,i:956},
D{l:7,t:10,i:1157},
D{l:7,t:10,i:1506},
D{l:7,t:10,i:1606},
D{l:7,t:10,i:1615},
D{l:7,t:10,i:1619},
D{l:7,t:10,i:1736},
D{l:7,t:10,i:1775},
D{l:8,t:10,i:590},
D{l:9,t:10,i:324},
D{l:9,t:10,i:736},
D{l:9,t:10,i:774},
D{l:9,t:10,i:776},
D{l:9,t:10,i:784},
D{l:10,t:10,i:567},
D{l:10,t:10,i:708},
D{l:11,t:10,i:518},
D{l:11,t:10,i:613},
D{l:11,t:10,i:695},
D{l:11,t:10,i:716},
D{l:11,t:10,i:739},
D{l:11,t:10,i:770},
D{l:11,t:10,i:771},
D{l:11,t:10,i:848},
D{l:11,t:10,i:857},
D{l:11,t:10,i:931},
D{l:11,t:10,i:947},
D{l:12,t:10,i:326},
D{l:12,t:10,i:387},
D{l:12,t:10,i:484},
D{l:12,t:10,i:528},
D{l:12,t:10,i:552},
D{l:12,t:10,i:613},
D{l:13,t:10,i:189},
D{l:13,t:10,i:256},
D{l:13,t:10,i:340},
D{l:13,t:10,i:432},
D{l:13,t:10,i:436},
D{l:13,t:10,i:440},
D{l:13,t:10,i:454},
D{l:14,t:10,i:174},
D{l:14,t:10,i:220},
D{l:14,t:10,i:284},
D{l:14,t:10,i:390},
D{l:145,t:10,i:121},
D{l:8,t:11,i:598},
D{l:9,t:11,i:664},
D{l:138,t:11,i:441},
D{l:9,t:10,i:137},
D{l:138,t:10,i:221},
D{l:133,t:11,i:812},
D{l:148,t:0,i:15},
D{l:134,t:0,i:1341},
D{l:6,t:0,i:1017},
D{l:4,t:11,i:137},
D{l:7,t:11,i:1178},
D{l:135,t:11,i:1520},
D{l:7,t:10,i:390},
D{l:138,t:10,i:140},
D{l:7,t:11,i:1260},
D{l:135,t:11,i:1790},
D{l:137,t:11,i:191},
D{l:135,t:10,i:1144},
D{l:6,t:0,i:1810},
D{l:7,t:0,i:657},
D{l:8,t:0,i:886},
D{l:10,t:0,i:857},
D{l:14,t:0,i:440},
D{l:144,t:0,i:96},
D{l:8,t:0,i:533},
D{l:6,t:11,i:1661},
D{l:7,t:11,i:1975},
D{l:7,t:11,i:2009},
D{l:135,t:11,i:2011},
D{l:6,t:0,i:1453},
D{l:134,t:10,i:464},
D{l:132,t:11,i:715},
D{l:5,t:10,i:407},
D{l:11,t:10,i:204},
D{l:11,t:10,i:243},
D{l:11,t:10,i:489},
D{l:12,t:10,i:293},
D{l:19,t:10,i:37},
D{l:20,t:10,i:73},
D{l:150,t:10,i:38},
D{l:133,t:11,i:703},
D{l:4,t:0,i:211},
D{l:7,t:0,i:1483},
D{l:5,t:10,i:325},
D{l:8,t:10,i:5},
D{l:8,t:10,i:227},
D{l:9,t:10,i:105},
D{l:10,t:10,i:585},
D{l:140,t:10,i:614},
D{l:4,t:0,i:332},
D{l:5,t:0,i:335},
D{l:6,t:0,i:238},
D{l:7,t:0,i:269},
D{l:7,t:0,i:811},
D{l:7,t:0,i:1797},
D{l:8,t:0,i:836},
D{l:9,t:0,i:507},
D{l:141,t:0,i:242},
D{l:5,t:11,i:89},
D{l:7,t:11,i:1915},
D{l:9,t:11,i:185},
D{l:9,t:11,i:235},
D{l:9,t:11,i:496},
D{l:10,t:11,i:64},
D{l:10,t:11,i:270},
D{l:10,t:11,i:403},
D{l:10,t:11,i:469},
D{l:10,t:11,i:529},
D{l:10,t:11,i:590},
D{l:11,t:11,i:140},
D{l:11,t:11,i:860},
D{l:13,t:11,i:1},
D{l:13,t:11,i:422},
D{l:14,t:11,i:341},
D{l:14,t:11,i:364},
D{l:17,t:11,i:93},
D{l:18,t:11,i:113},
D{l:19,t:11,i:97},
D{l:147,t:11,i:113},
D{l:133,t:11,i:695},
D{l:16,t:0,i:19},
D{l:5,t:11,i:6},
D{l:6,t:11,i:183},
D{l:6,t:10,i:621},
D{l:7,t:11,i:680},
D{l:7,t:11,i:978},
D{l:7,t:11,i:1013},
D{l:7,t:11,i:1055},
D{l:12,t:11,i:230},
D{l:13,t:11,i:172},
D{l:13,t:10,i:504},
D{l:146,t:11,i:29},
D{l:136,t:0,i:156},
D{l:133,t:0,i:1009},
D{l:6,t:11,i:29},
D{l:139,t:11,i:63},
D{l:134,t:0,i:820},
D{l:134,t:10,i:218},
D{l:7,t:10,i:454},
D{l:7,t:10,i:782},
D{l:8,t:10,i:768},
D{l:140,t:10,i:686},
D{l:5,t:0,i:228},
D{l:6,t:0,i:203},
D{l:7,t:0,i:156},
D{l:8,t:0,i:347},
D{l:9,t:0,i:265},
D{l:18,t:0,i:39},
D{l:20,t:0,i:54},
D{l:21,t:0,i:31},
D{l:22,t:0,i:3},
D{l:23,t:0,i:0},
D{l:15,t:11,i:8},
D{l:18,t:11,i:39},
D{l:20,t:11,i:54},
D{l:21,t:11,i:31},
D{l:22,t:11,i:3},
D{l:151,t:11,i:0},
D{l:7,t:0,i:1131},
D{l:135,t:0,i:1468},
D{l:144,t:10,i:0},
D{l:134,t:0,i:1276},
D{l:10,t:10,i:676},
D{l:140,t:10,i:462},
D{l:132,t:11,i:311},
D{l:134,t:11,i:1740},
D{l:7,t:11,i:170},
D{l:8,t:11,i:90},
D{l:8,t:11,i:177},
D{l:8,t:11,i:415},
D{l:11,t:11,i:714},
D{l:142,t:11,i:281},
D{l:134,t:10,i:164},
D{l:6,t:0,i:1792},
D{l:138,t:0,i:849},
D{l:150,t:10,i:50},
D{l:5,t:0,i:291},
D{l:5,t:0,i:318},
D{l:7,t:0,i:765},
D{l:9,t:0,i:389},
D{l:12,t:0,i:548},
D{l:8,t:11,i:522},
D{l:142,t:11,i:328},
D{l:11,t:11,i:91},
D{l:13,t:11,i:129},
D{l:15,t:11,i:101},
D{l:145,t:11,i:125},
D{l:4,t:11,i:494},
D{l:6,t:11,i:74},
D{l:7,t:11,i:44},
D{l:7,t:11,i:407},
D{l:8,t:11,i:551},
D{l:12,t:11,i:17},
D{l:15,t:11,i:5},
D{l:148,t:11,i:11},
D{l:4,t:11,i:276},
D{l:133,t:11,i:296},
D{l:6,t:10,i:343},
D{l:7,t:10,i:195},
D{l:7,t:11,i:1777},
D{l:9,t:10,i:226},
D{l:10,t:10,i:197},
D{l:10,t:10,i:575},
D{l:11,t:10,i:502},
D{l:139,t:10,i:899},
D{l:10,t:0,i:525},
D{l:139,t:0,i:82},
D{l:14,t:0,i:453},
D{l:4,t:11,i:7},
D{l:5,t:11,i:90},
D{l:5,t:11,i:158},
D{l:6,t:11,i:542},
D{l:7,t:11,i:221},
D{l:7,t:11,i:1574},
D{l:9,t:11,i:490},
D{l:10,t:11,i:540},
D{l:11,t:11,i:443},
D{l:139,t:11,i:757},
D{l:135,t:0,i:666},
D{l:22,t:10,i:29},
D{l:150,t:11,i:29},
D{l:4,t:0,i:422},
D{l:147,t:10,i:8},
D{l:5,t:0,i:355},
D{l:145,t:0,i:0},
D{l:6,t:0,i:1873},
D{l:9,t:0,i:918},
D{l:7,t:11,i:588},
D{l:9,t:11,i:175},
D{l:138,t:11,i:530},
D{l:143,t:11,i:31},
D{l:11,t:0,i:165},
D{l:7,t:10,i:1125},
D{l:9,t:10,i:143},
D{l:14,t:10,i:405},
D{l:150,t:10,i:21},
D{l:9,t:0,i:260},
D{l:137,t:0,i:905},
D{l:5,t:11,i:872},
D{l:6,t:11,i:57},
D{l:6,t:11,i:479},
D{l:6,t:11,i:562},
D{l:7,t:11,i:471},
D{l:7,t:11,i:1060},
D{l:9,t:11,i:447},
D{l:9,t:11,i:454},
D{l:141,t:11,i:6},
D{l:138,t:11,i:704},
D{l:133,t:0,i:865},
D{l:5,t:0,i:914},
D{l:134,t:0,i:1625},
D{l:133,t:0,i:234},
D{l:7,t:0,i:1383},
D{l:5,t:11,i:31},
D{l:6,t:11,i:614},
D{l:145,t:11,i:61},
D{l:7,t:11,i:1200},
D{l:138,t:11,i:460},
D{l:6,t:11,i:424},
D{l:135,t:11,i:1866},
D{l:136,t:0,i:306},
D{l:5,t:10,i:959},
D{l:12,t:11,i:30},
D{l:13,t:11,i:148},
D{l:14,t:11,i:87},
D{l:14,t:11,i:182},
D{l:16,t:11,i:42},
D{l:18,t:11,i:92},
D{l:148,t:11,i:70},
D{l:6,t:0,i:1919},
D{l:6,t:0,i:1921},
D{l:9,t:0,i:923},
D{l:9,t:0,i:930},
D{l:9,t:0,i:941},
D{l:9,t:0,i:949},
D{l:9,t:0,i:987},
D{l:9,t:0,i:988},
D{l:9,t:0,i:992},
D{l:12,t:0,i:802},
D{l:12,t:0,i:815},
D{l:12,t:0,i:856},
D{l:12,t:0,i:885},
D{l:12,t:0,i:893},
D{l:12,t:0,i:898},
D{l:12,t:0,i:919},
D{l:12,t:0,i:920},
D{l:12,t:0,i:941},
D{l:12,t:0,i:947},
D{l:15,t:0,i:183},
D{l:15,t:0,i:185},
D{l:15,t:0,i:189},
D{l:15,t:0,i:197},
D{l:15,t:0,i:202},
D{l:15,t:0,i:233},
D{l:18,t:0,i:218},
D{l:18,t:0,i:219},
D{l:18,t:0,i:233},
D{l:143,t:11,i:156},
D{l:135,t:10,i:1759},
D{l:136,t:10,i:173},
D{l:13,t:0,i:163},
D{l:13,t:0,i:180},
D{l:18,t:0,i:78},
D{l:20,t:0,i:35},
D{l:5,t:11,i:13},
D{l:134,t:11,i:142},
D{l:134,t:10,i:266},
D{l:6,t:11,i:97},
D{l:7,t:11,i:116},
D{l:8,t:11,i:322},
D{l:8,t:11,i:755},
D{l:9,t:11,i:548},
D{l:10,t:11,i:714},
D{l:11,t:11,i:884},
D{l:141,t:11,i:324},
D{l:135,t:0,i:1312},
D{l:9,t:0,i:814},
D{l:137,t:11,i:676},
D{l:133,t:0,i:707},
D{l:135,t:0,i:1493},
D{l:6,t:0,i:421},
D{l:7,t:0,i:61},
D{l:7,t:0,i:1540},
D{l:10,t:0,i:11},
D{l:138,t:0,i:501},
D{l:12,t:0,i:733},
D{l:12,t:0,i:766},
D{l:7,t:11,i:866},
D{l:135,t:11,i:1163},
D{l:137,t:0,i:341},
D{l:142,t:0,i:98},
D{l:145,t:11,i:115},
D{l:135,t:11,i:1111},
D{l:136,t:10,i:300},
D{l:136,t:0,i:1014},
D{l:8,t:11,i:1},
D{l:9,t:11,i:112},
D{l:138,t:11,i:326},
D{l:132,t:11,i:730},
D{l:5,t:11,i:488},
D{l:6,t:11,i:527},
D{l:7,t:11,i:489},
D{l:7,t:11,i:1636},
D{l:8,t:11,i:121},
D{l:8,t:11,i:144},
D{l:8,t:11,i:359},
D{l:9,t:11,i:193},
D{l:9,t:11,i:241},
D{l:9,t:11,i:336},
D{l:9,t:11,i:882},
D{l:11,t:11,i:266},
D{l:11,t:11,i:372},
D{l:11,t:11,i:944},
D{l:12,t:11,i:401},
D{l:140,t:11,i:641},
D{l:6,t:0,i:971},
D{l:134,t:0,i:1121},
D{l:6,t:0,i:102},
D{l:7,t:0,i:72},
D{l:15,t:0,i:142},
D{l:147,t:0,i:67},
D{l:151,t:0,i:30},
D{l:135,t:0,i:823},
D{l:134,t:0,i:1045},
D{l:5,t:10,i:427},
D{l:5,t:10,i:734},
D{l:7,t:10,i:478},
D{l:136,t:10,i:52},
D{l:7,t:0,i:1930},
D{l:11,t:10,i:217},
D{l:142,t:10,i:165},
D{l:6,t:0,i:1512},
D{l:135,t:0,i:1870},
D{l:9,t:11,i:31},
D{l:10,t:11,i:244},
D{l:10,t:11,i:699},
D{l:12,t:11,i:149},
D{l:141,t:11,i:497},
D{l:133,t:11,i:377},
D{l:145,t:11,i:101},
D{l:10,t:11,i:158},
D{l:13,t:11,i:13},
D{l:13,t:11,i:137},
D{l:13,t:11,i:258},
D{l:14,t:11,i:111},
D{l:14,t:11,i:225},
D{l:14,t:11,i:253},
D{l:14,t:11,i:304},
D{l:14,t:11,i:339},
D{l:14,t:11,i:417},
D{l:146,t:11,i:33},
D{l:6,t:0,i:87},
D{l:6,t:10,i:1734},
D{l:7,t:10,i:20},
D{l:7,t:10,i:1056},
D{l:8,t:10,i:732},
D{l:9,t:10,i:406},
D{l:9,t:10,i:911},
D{l:138,t:10,i:694},
D{l:134,t:0,i:1243},
D{l:137,t:0,i:245},
D{l:7,t:0,i:68},
D{l:8,t:0,i:48},
D{l:8,t:0,i:88},
D{l:8,t:0,i:582},
D{l:8,t:0,i:681},
D{l:9,t:0,i:373},
D{l:9,t:0,i:864},
D{l:11,t:0,i:157},
D{l:11,t:0,i:336},
D{l:11,t:0,i:843},
D{l:148,t:0,i:27},
D{l:8,t:11,i:663},
D{l:144,t:11,i:8},
D{l:133,t:10,i:613},
D{l:4,t:0,i:88},
D{l:5,t:0,i:137},
D{l:5,t:0,i:174},
D{l:5,t:0,i:777},
D{l:6,t:0,i:1664},
D{l:6,t:0,i:1725},
D{l:7,t:0,i:77},
D{l:7,t:0,i:426},
D{l:7,t:0,i:1317},
D{l:7,t:0,i:1355},
D{l:8,t:0,i:126},
D{l:8,t:0,i:563},
D{l:9,t:0,i:523},
D{l:9,t:0,i:750},
D{l:10,t:0,i:310},
D{l:10,t:0,i:836},
D{l:11,t:0,i:42},
D{l:11,t:0,i:318},
D{l:11,t:0,i:731},
D{l:12,t:0,i:68},
D{l:12,t:0,i:92},
D{l:12,t:0,i:507},
D{l:12,t:0,i:692},
D{l:13,t:0,i:81},
D{l:13,t:0,i:238},
D{l:13,t:0,i:374},
D{l:14,t:0,i:436},
D{l:18,t:0,i:138},
D{l:19,t:0,i:78},
D{l:19,t:0,i:111},
D{l:20,t:0,i:55},
D{l:20,t:0,i:77},
D{l:148,t:0,i:92},
D{l:141,t:0,i:418},
D{l:4,t:0,i:938},
D{l:137,t:0,i:625},
D{l:138,t:0,i:351},
D{l:5,t:11,i:843},
D{l:7,t:10,i:32},
D{l:7,t:10,i:984},
D{l:8,t:10,i:85},
D{l:8,t:10,i:709},
D{l:9,t:10,i:579},
D{l:9,t:10,i:847},
D{l:9,t:10,i:856},
D{l:10,t:10,i:799},
D{l:11,t:10,i:258},
D{l:11,t:10,i:1007},
D{l:12,t:10,i:331},
D{l:12,t:10,i:615},
D{l:13,t:10,i:188},
D{l:13,t:10,i:435},
D{l:14,t:10,i:8},
D{l:15,t:10,i:165},
D{l:16,t:10,i:27},
D{l:148,t:10,i:40},
D{l:6,t:0,i:1668},
D{l:7,t:0,i:1499},
D{l:8,t:0,i:117},
D{l:9,t:0,i:314},
D{l:138,t:0,i:174},
D{l:135,t:0,i:707},
D{l:132,t:11,i:554},
D{l:133,t:11,i:536},
D{l:5,t:0,i:403},
D{l:5,t:11,i:207},
D{l:9,t:11,i:79},
D{l:11,t:11,i:625},
D{l:145,t:11,i:7},
D{l:132,t:11,i:424},
D{l:136,t:11,i:785},
D{l:4,t:10,i:167},
D{l:135,t:10,i:82},
D{l:9,t:0,i:7},
D{l:23,t:0,i:6},
D{l:9,t:11,i:7},
D{l:151,t:11,i:6},
D{l:6,t:0,i:282},
D{l:5,t:10,i:62},
D{l:6,t:10,i:534},
D{l:7,t:10,i:74},
D{l:7,t:10,i:678},
D{l:7,t:10,i:684},
D{l:7,t:10,i:1043},
D{l:7,t:10,i:1072},
D{l:8,t:10,i:280},
D{l:8,t:10,i:541},
D{l:8,t:10,i:686},
D{l:9,t:10,i:258},
D{l:10,t:10,i:519},
D{l:11,t:10,i:252},
D{l:140,t:10,i:282},
D{l:138,t:10,i:33},
D{l:132,t:10,i:359},
D{l:4,t:0,i:44},
D{l:5,t:0,i:311},
D{l:6,t:0,i:156},
D{l:7,t:0,i:639},
D{l:7,t:0,i:762},
D{l:7,t:0,i:1827},
D{l:9,t:0,i:8},
D{l:9,t:0,i:462},
D{l:148,t:0,i:83},
D{l:7,t:11,i:769},
D{l:9,t:11,i:18},
D{l:138,t:11,i:358},
D{l:4,t:0,i:346},
D{l:7,t:0,i:115},
D{l:9,t:0,i:180},
D{l:9,t:0,i:456},
D{l:10,t:0,i:363},
D{l:4,t:11,i:896},
D{l:134,t:11,i:1777},
D{l:133,t:10,i:211},
D{l:7,t:0,i:761},
D{l:7,t:0,i:1051},
D{l:137,t:0,i:545},
D{l:6,t:10,i:145},
D{l:141,t:10,i:336},
D{l:7,t:11,i:750},
D{l:9,t:11,i:223},
D{l:11,t:11,i:27},
D{l:11,t:11,i:466},
D{l:12,t:11,i:624},
D{l:14,t:11,i:265},
D{l:146,t:11,i:61},
D{l:6,t:0,i:752},
D{l:6,t:0,i:768},
D{l:6,t:0,i:1195},
D{l:6,t:0,i:1254},
D{l:6,t:0,i:1619},
D{l:137,t:0,i:835},
D{l:6,t:0,i:1936},
D{l:8,t:0,i:930},
D{l:136,t:0,i:960},
D{l:132,t:10,i:263},
D{l:132,t:11,i:249},
D{l:12,t:0,i:653},
D{l:132,t:10,i:916},
D{l:4,t:11,i:603},
D{l:133,t:11,i:661},
D{l:8,t:0,i:344},
D{l:4,t:11,i:11},
D{l:6,t:11,i:128},
D{l:7,t:11,i:231},
D{l:7,t:11,i:1533},
D{l:138,t:11,i:725},
D{l:134,t:0,i:1483},
D{l:134,t:0,i:875},
D{l:6,t:0,i:185},
D{l:7,t:0,i:1899},
D{l:9,t:0,i:875},
D{l:139,t:0,i:673},
D{l:15,t:10,i:155},
D{l:144,t:10,i:79},
D{l:7,t:0,i:93},
D{l:7,t:0,i:210},
D{l:7,t:0,i:1223},
D{l:8,t:0,i:451},
D{l:8,t:0,i:460},
D{l:11,t:0,i:353},
D{l:11,t:0,i:475},
D{l:4,t:10,i:599},
D{l:6,t:10,i:1634},
D{l:7,t:10,i:67},
D{l:7,t:10,i:691},
D{l:7,t:10,i:979},
D{l:7,t:10,i:1697},
D{l:8,t:10,i:207},
D{l:8,t:10,i:214},
D{l:8,t:10,i:231},
D{l:8,t:10,i:294},
D{l:8,t:10,i:336},
D{l:8,t:10,i:428},
D{l:8,t:10,i:471},
D{l:8,t:10,i:622},
D{l:8,t:10,i:626},
D{l:8,t:10,i:679},
D{l:8,t:10,i:759},
D{l:8,t:10,i:829},
D{l:9,t:10,i:11},
D{l:9,t:10,i:246},
D{l:9,t:10,i:484},
D{l:9,t:10,i:573},
D{l:9,t:10,i:706},
D{l:9,t:10,i:762},
D{l:9,t:10,i:798},
D{l:9,t:10,i:855},
D{l:9,t:10,i:870},
D{l:9,t:10,i:912},
D{l:10,t:10,i:303},
D{l:10,t:10,i:335},
D{l:10,t:10,i:424},
D{l:10,t:10,i:461},
D{l:10,t:10,i:543},
D{l:10,t:10,i:759},
D{l:10,t:10,i:814},
D{l:11,t:10,i:59},
D{l:11,t:10,i:235},
D{l:11,t:10,i:590},
D{l:11,t:10,i:929},
D{l:11,t:10,i:963},
D{l:11,t:10,i:987},
D{l:12,t:10,i:114},
D{l:12,t:10,i:182},
D{l:12,t:10,i:226},
D{l:12,t:10,i:332},
D{l:12,t:10,i:439},
D{l:12,t:10,i:575},
D{l:12,t:10,i:598},
D{l:12,t:10,i:675},
D{l:13,t:10,i:8},
D{l:13,t:10,i:125},
D{l:13,t:10,i:194},
D{l:13,t:10,i:287},
D{l:14,t:10,i:197},
D{l:14,t:10,i:383},
D{l:15,t:10,i:53},
D{l:17,t:10,i:63},
D{l:19,t:10,i:46},
D{l:19,t:10,i:98},
D{l:19,t:10,i:106},
D{l:148,t:10,i:85},
D{l:132,t:11,i:476},
D{l:4,t:0,i:327},
D{l:5,t:0,i:478},
D{l:7,t:0,i:1332},
D{l:136,t:0,i:753},
D{l:5,t:0,i:1020},
D{l:133,t:0,i:1022},
D{l:135,t:11,i:1807},
D{l:4,t:0,i:103},
D{l:133,t:0,i:401},
D{l:4,t:0,i:499},
D{l:135,t:0,i:1421},
D{l:10,t:0,i:207},
D{l:13,t:0,i:164},
D{l:147,t:10,i:126},
D{l:9,t:11,i:20},
D{l:10,t:11,i:324},
D{l:139,t:11,i:488},
D{l:132,t:0,i:96},
D{l:9,t:11,i:280},
D{l:138,t:11,i:134},
D{l:135,t:0,i:968},
D{l:133,t:10,i:187},
D{l:135,t:10,i:1286},
D{l:5,t:11,i:112},
D{l:6,t:11,i:103},
D{l:134,t:11,i:150},
D{l:8,t:0,i:914},
D{l:10,t:0,i:3},
D{l:4,t:10,i:215},
D{l:9,t:10,i:38},
D{l:11,t:10,i:23},
D{l:11,t:10,i:127},
D{l:139,t:10,i:796},
D{l:135,t:0,i:399},
D{l:6,t:0,i:563},
D{l:137,t:0,i:224},
D{l:6,t:0,i:704},
D{l:134,t:0,i:1214},
D{l:4,t:11,i:708},
D{l:8,t:11,i:15},
D{l:9,t:11,i:50},
D{l:9,t:11,i:386},
D{l:11,t:11,i:18},
D{l:11,t:11,i:529},
D{l:140,t:11,i:228},
D{l:4,t:11,i:563},
D{l:7,t:11,i:109},
D{l:7,t:11,i:592},
D{l:7,t:11,i:637},
D{l:7,t:11,i:770},
D{l:7,t:11,i:1701},
D{l:8,t:11,i:436},
D{l:8,t:11,i:463},
D{l:9,t:11,i:60},
D{l:9,t:11,i:335},
D{l:9,t:11,i:904},
D{l:10,t:11,i:73},
D{l:11,t:11,i:434},
D{l:12,t:11,i:585},
D{l:13,t:11,i:331},
D{l:18,t:11,i:110},
D{l:148,t:11,i:60},
D{l:134,t:0,i:1559},
D{l:132,t:11,i:502},
D{l:6,t:11,i:347},
D{l:138,t:11,i:161},
D{l:4,t:11,i:33},
D{l:5,t:11,i:102},
D{l:5,t:11,i:500},
D{l:6,t:11,i:284},
D{l:7,t:11,i:1079},
D{l:7,t:11,i:1423},
D{l:7,t:11,i:1702},
D{l:8,t:11,i:470},
D{l:9,t:11,i:554},
D{l:9,t:11,i:723},
D{l:139,t:11,i:333},
D{l:7,t:11,i:246},
D{l:135,t:11,i:840},
D{l:6,t:11,i:10},
D{l:8,t:11,i:571},
D{l:9,t:11,i:739},
D{l:143,t:11,i:91},
D{l:8,t:0,i:861},
D{l:10,t:0,i:905},
D{l:12,t:0,i:730},
D{l:12,t:0,i:789},
D{l:133,t:11,i:626},
D{l:134,t:0,i:946},
D{l:5,t:0,i:746},
D{l:12,t:0,i:333},
D{l:14,t:0,i:332},
D{l:12,t:11,i:333},
D{l:142,t:11,i:332},
D{l:5,t:11,i:18},
D{l:6,t:11,i:526},
D{l:13,t:11,i:24},
D{l:13,t:11,i:110},
D{l:19,t:11,i:5},
D{l:147,t:11,i:44},
D{l:4,t:0,i:910},
D{l:5,t:0,i:832},
D{l:135,t:10,i:2002},
D{l:10,t:11,i:768},
D{l:139,t:11,i:787},
D{l:4,t:11,i:309},
D{l:5,t:11,i:462},
D{l:7,t:11,i:970},
D{l:135,t:11,i:1097},
D{l:4,t:10,i:28},
D{l:5,t:10,i:440},
D{l:7,t:10,i:248},
D{l:11,t:10,i:833},
D{l:140,t:10,i:344},
D{l:134,t:10,i:1654},
D{l:6,t:0,i:632},
D{l:6,t:0,i:652},
D{l:6,t:0,i:1272},
D{l:6,t:0,i:1384},
D{l:134,t:0,i:1560},
D{l:134,t:11,i:1704},
D{l:6,t:0,i:1393},
D{l:133,t:10,i:853},
D{l:6,t:10,i:249},
D{l:7,t:10,i:1234},
D{l:139,t:10,i:573},
D{l:5,t:11,i:86},
D{l:7,t:11,i:743},
D{l:9,t:11,i:85},
D{l:10,t:11,i:281},
D{l:10,t:11,i:432},
D{l:11,t:11,i:490},
D{l:12,t:11,i:251},
D{l:13,t:11,i:118},
D{l:14,t:11,i:378},
D{l:146,t:11,i:143},
D{l:5,t:11,i:524},
D{l:133,t:11,i:744},
D{l:134,t:0,i:1514},
D{l:10,t:0,i:201},
D{l:142,t:0,i:319},
D{l:7,t:0,i:717},
D{l:10,t:0,i:510},
D{l:7,t:10,i:392},
D{l:8,t:10,i:20},
D{l:8,t:10,i:172},
D{l:8,t:10,i:690},
D{l:9,t:10,i:383},
D{l:9,t:10,i:845},
D{l:11,t:10,i:293},
D{l:11,t:10,i:832},
D{l:11,t:10,i:920},
D{l:11,t:10,i:984},
D{l:141,t:10,i:221},
D{l:134,t:0,i:1381},
D{l:5,t:10,i:858},
D{l:133,t:10,i:992},
D{l:8,t:0,i:528},
D{l:137,t:0,i:348},
D{l:10,t:11,i:107},
D{l:140,t:11,i:436},
D{l:4,t:0,i:20},
D{l:133,t:0,i:616},
D{l:134,t:0,i:1251},
D{l:132,t:11,i:927},
D{l:10,t:11,i:123},
D{l:12,t:11,i:670},
D{l:13,t:11,i:371},
D{l:14,t:11,i:142},
D{l:146,t:11,i:94},
D{l:134,t:0,i:1163},
D{l:7,t:11,i:1149},
D{l:137,t:11,i:156},
D{l:134,t:0,i:307},
D{l:133,t:11,i:778},
D{l:7,t:0,i:1091},
D{l:135,t:0,i:1765},
D{l:5,t:11,i:502},
D{l:6,t:10,i:268},
D{l:137,t:10,i:62},
D{l:8,t:11,i:196},
D{l:10,t:11,i:283},
D{l:139,t:11,i:406},
D{l:4,t:0,i:26},
D{l:5,t:0,i:429},
D{l:6,t:0,i:245},
D{l:7,t:0,i:704},
D{l:7,t:0,i:1379},
D{l:135,t:0,i:1474},
D{l:133,t:11,i:855},
D{l:132,t:0,i:881},
D{l:4,t:0,i:621},
D{l:135,t:11,i:1596},
D{l:7,t:11,i:1400},
D{l:9,t:11,i:446},
D{l:138,t:11,i:45},
D{l:6,t:0,i:736},
D{l:138,t:10,i:106},
D{l:133,t:0,i:542},
D{l:134,t:0,i:348},
D{l:133,t:0,i:868},
D{l:136,t:0,i:433},
D{l:135,t:0,i:1495},
D{l:138,t:0,i:771},
D{l:6,t:10,i:613},
D{l:136,t:10,i:223},
D{l:138,t:0,i:215},
D{l:141,t:0,i:124},
D{l:136,t:11,i:391},
D{l:135,t:11,i:172},
D{l:132,t:10,i:670},
D{l:140,t:0,i:55},
D{l:9,t:10,i:40},
D{l:139,t:10,i:136},
D{l:7,t:0,i:62},
D{l:147,t:0,i:112},
D{l:132,t:0,i:856},
D{l:132,t:11,i:568},
D{l:12,t:0,i:270},
D{l:139,t:10,i:259},
D{l:8,t:0,i:572},
D{l:137,t:0,i:698},
D{l:4,t:11,i:732},
D{l:9,t:10,i:310},
D{l:137,t:10,i:682},
D{l:142,t:10,i:296},
D{l:134,t:0,i:939},
D{l:136,t:11,i:733},
D{l:135,t:11,i:1435},
D{l:7,t:10,i:1401},
D{l:135,t:10,i:1476},
D{l:6,t:0,i:352},
D{l:4,t:10,i:296},
D{l:7,t:10,i:401},
D{l:7,t:10,i:1410},
D{l:7,t:10,i:1594},
D{l:7,t:10,i:1674},
D{l:8,t:10,i:63},
D{l:8,t:10,i:660},
D{l:137,t:10,i:74},
D{l:4,t:11,i:428},
D{l:133,t:11,i:668},
D{l:4,t:10,i:139},
D{l:4,t:10,i:388},
D{l:140,t:10,i:188},
D{l:7,t:11,i:2015},
D{l:140,t:11,i:665},
D{l:132,t:0,i:647},
D{l:146,t:0,i:10},
D{l:138,t:0,i:220},
D{l:142,t:0,i:464},
D{l:132,t:0,i:109},
D{l:134,t:0,i:1746},
D{l:6,t:0,i:515},
D{l:4,t:10,i:747},
D{l:6,t:11,i:1623},
D{l:6,t:11,i:1681},
D{l:7,t:10,i:649},
D{l:7,t:10,i:1479},
D{l:135,t:10,i:1583},
D{l:133,t:10,i:232},
D{l:135,t:0,i:566},
D{l:137,t:10,i:887},
D{l:4,t:0,i:40},
D{l:10,t:0,i:67},
D{l:11,t:0,i:117},
D{l:11,t:0,i:768},
D{l:139,t:0,i:935},
D{l:132,t:0,i:801},
D{l:7,t:0,i:992},
D{l:8,t:0,i:301},
D{l:9,t:0,i:722},
D{l:12,t:0,i:63},
D{l:13,t:0,i:29},
D{l:14,t:0,i:161},
D{l:143,t:0,i:18},
D{l:139,t:0,i:923},
D{l:6,t:11,i:1748},
D{l:8,t:11,i:715},
D{l:9,t:11,i:802},
D{l:10,t:11,i:46},
D{l:10,t:11,i:819},
D{l:13,t:11,i:308},
D{l:14,t:11,i:351},
D{l:14,t:11,i:363},
D{l:146,t:11,i:67},
D{l:137,t:11,i:745},
D{l:7,t:0,i:1145},
D{l:4,t:10,i:14},
D{l:7,t:10,i:1801},
D{l:10,t:10,i:748},
D{l:141,t:10,i:458},
D{l:4,t:11,i:63},
D{l:5,t:11,i:347},
D{l:134,t:11,i:474},
D{l:135,t:0,i:568},
D{l:4,t:10,i:425},
D{l:7,t:11,i:577},
D{l:7,t:11,i:1432},
D{l:9,t:11,i:475},
D{l:9,t:11,i:505},
D{l:9,t:11,i:526},
D{l:9,t:11,i:609},
D{l:9,t:11,i:689},
D{l:9,t:11,i:726},
D{l:9,t:11,i:735},
D{l:9,t:11,i:738},
D{l:10,t:11,i:556},
D{l:10,t:11,i:674},
D{l:10,t:11,i:684},
D{l:11,t:11,i:89},
D{l:11,t:11,i:202},
D{l:11,t:11,i:272},
D{l:11,t:11,i:380},
D{l:11,t:11,i:415},
D{l:11,t:11,i:505},
D{l:11,t:11,i:537},
D{l:11,t:11,i:550},
D{l:11,t:11,i:562},
D{l:11,t:11,i:640},
D{l:11,t:11,i:667},
D{l:11,t:11,i:688},
D{l:11,t:11,i:847},
D{l:11,t:11,i:927},
D{l:11,t:11,i:930},
D{l:11,t:11,i:940},
D{l:12,t:11,i:144},
D{l:12,t:11,i:325},
D{l:12,t:11,i:329},
D{l:12,t:11,i:389},
D{l:12,t:11,i:403},
D{l:12,t:11,i:451},
D{l:12,t:11,i:515},
D{l:12,t:11,i:604},
D{l:12,t:11,i:616},
D{l:12,t:11,i:626},
D{l:13,t:11,i:66},
D{l:13,t:11,i:131},
D{l:13,t:11,i:167},
D{l:13,t:11,i:236},
D{l:13,t:11,i:368},
D{l:13,t:11,i:411},
D{l:13,t:11,i:434},
D{l:13,t:11,i:453},
D{l:13,t:11,i:461},
D{l:13,t:11,i:474},
D{l:14,t:11,i:59},
D{l:14,t:11,i:60},
D{l:14,t:11,i:139},
D{l:14,t:11,i:152},
D{l:14,t:11,i:276},
D{l:14,t:11,i:353},
D{l:14,t:11,i:402},
D{l:15,t:11,i:28},
D{l:15,t:11,i:81},
D{l:15,t:11,i:123},
D{l:15,t:11,i:152},
D{l:18,t:11,i:136},
D{l:148,t:11,i:88},
D{l:137,t:0,i:247},
D{l:135,t:11,i:1622},
D{l:9,t:11,i:544},
D{l:11,t:11,i:413},
D{l:144,t:11,i:25},
D{l:4,t:0,i:645},
D{l:7,t:0,i:825},
D{l:6,t:10,i:1768},
D{l:135,t:11,i:89},
D{l:140,t:0,i:328},
D{l:5,t:10,i:943},
D{l:134,t:10,i:1779},
D{l:134,t:0,i:1363},
D{l:5,t:10,i:245},
D{l:6,t:10,i:576},
D{l:7,t:10,i:582},
D{l:136,t:10,i:225},
D{l:134,t:0,i:1280},
D{l:5,t:11,i:824},
D{l:133,t:11,i:941},
D{l:7,t:11,i:440},
D{l:8,t:11,i:230},
D{l:139,t:11,i:106},
D{l:5,t:0,i:28},
D{l:6,t:0,i:204},
D{l:10,t:0,i:320},
D{l:10,t:0,i:583},
D{l:13,t:0,i:502},
D{l:14,t:0,i:72},
D{l:14,t:0,i:274},
D{l:14,t:0,i:312},
D{l:14,t:0,i:344},
D{l:15,t:0,i:159},
D{l:16,t:0,i:62},
D{l:16,t:0,i:69},
D{l:17,t:0,i:30},
D{l:18,t:0,i:42},
D{l:18,t:0,i:53},
D{l:18,t:0,i:84},
D{l:18,t:0,i:140},
D{l:19,t:0,i:68},
D{l:19,t:0,i:85},
D{l:20,t:0,i:5},
D{l:20,t:0,i:45},
D{l:20,t:0,i:101},
D{l:22,t:0,i:7},
D{l:150,t:0,i:20},
D{l:4,t:0,i:558},
D{l:6,t:0,i:390},
D{l:7,t:0,i:162},
D{l:7,t:0,i:689},
D{l:9,t:0,i:360},
D{l:138,t:0,i:653},
D{l:134,t:0,i:764},
D{l:6,t:0,i:862},
D{l:137,t:0,i:833},
D{l:5,t:0,i:856},
D{l:6,t:0,i:1672},
D{l:6,t:0,i:1757},
D{l:134,t:0,i:1781},
D{l:5,t:0,i:92},
D{l:10,t:0,i:736},
D{l:140,t:0,i:102},
D{l:6,t:0,i:1927},
D{l:6,t:0,i:1944},
D{l:8,t:0,i:924},
D{l:8,t:0,i:948},
D{l:10,t:0,i:967},
D{l:138,t:0,i:978},
D{l:134,t:0,i:1479},
D{l:5,t:0,i:590},
D{l:8,t:0,i:360},
D{l:9,t:0,i:213},
D{l:138,t:0,i:63},
D{l:134,t:0,i:1521},
D{l:6,t:0,i:709},
D{l:134,t:0,i:891},
D{l:132,t:10,i:443},
D{l:13,t:0,i:477},
D{l:14,t:0,i:120},
D{l:148,t:0,i:61},
D{l:4,t:11,i:914},
D{l:5,t:11,i:800},
D{l:133,t:11,i:852},
D{l:10,t:11,i:54},
D{l:141,t:11,i:115},
D{l:4,t:11,i:918},
D{l:133,t:11,i:876},
D{l:139,t:11,i:152},
D{l:4,t:11,i:92},
D{l:133,t:11,i:274},
D{l:135,t:11,i:1901},
D{l:9,t:11,i:800},
D{l:10,t:11,i:693},
D{l:11,t:11,i:482},
D{l:11,t:11,i:734},
D{l:139,t:11,i:789},
D{l:9,t:0,i:483},
D{l:132,t:10,i:298},
D{l:6,t:0,i:1213},
D{l:141,t:11,i:498},
D{l:135,t:11,i:1451},
D{l:133,t:11,i:743},
D{l:4,t:0,i:1022},
D{l:10,t:0,i:1000},
D{l:12,t:0,i:957},
D{l:12,t:0,i:980},
D{l:12,t:0,i:1013},
D{l:14,t:0,i:481},
D{l:144,t:0,i:116},
D{l:8,t:0,i:503},
D{l:17,t:0,i:29},
D{l:4,t:11,i:49},
D{l:7,t:11,i:280},
D{l:135,t:11,i:1633},
D{l:135,t:0,i:1712},
D{l:134,t:0,i:466},
D{l:136,t:11,i:47},
D{l:5,t:10,i:164},
D{l:7,t:10,i:121},
D{l:142,t:10,i:189},
D{l:7,t:10,i:812},
D{l:7,t:10,i:1261},
D{l:7,t:10,i:1360},
D{l:9,t:10,i:632},
D{l:140,t:10,i:352},
D{l:139,t:10,i:556},
D{l:132,t:0,i:731},
D{l:5,t:11,i:272},
D{l:5,t:11,i:908},
D{l:5,t:11,i:942},
D{l:7,t:11,i:1008},
D{l:7,t:11,i:1560},
D{l:8,t:11,i:197},
D{l:9,t:11,i:47},
D{l:11,t:11,i:538},
D{l:139,t:11,i:742},
D{l:4,t:10,i:172},
D{l:9,t:10,i:611},
D{l:10,t:10,i:436},
D{l:12,t:10,i:673},
D{l:141,t:10,i:255},
D{l:133,t:10,i:844},
D{l:10,t:0,i:484},
D{l:11,t:0,i:754},
D{l:12,t:0,i:457},
D{l:14,t:0,i:171},
D{l:14,t:0,i:389},
D{l:146,t:0,i:153},
D{l:9,t:10,i:263},
D{l:10,t:10,i:147},
D{l:138,t:10,i:492},
D{l:137,t:11,i:891},
D{l:138,t:0,i:241},
D{l:133,t:10,i:537},
D{l:6,t:0,i:2005},
D{l:136,t:0,i:964},
D{l:137,t:10,i:842},
D{l:151,t:11,i:8},
D{l:4,t:11,i:407},
D{l:132,t:11,i:560},
D{l:135,t:11,i:1884},
D{l:6,t:0,i:1100},
D{l:134,t:0,i:1242},
D{l:135,t:0,i:954},
D{l:5,t:10,i:230},
D{l:5,t:10,i:392},
D{l:6,t:10,i:420},
D{l:9,t:10,i:568},
D{l:140,t:10,i:612},
D{l:4,t:11,i:475},
D{l:11,t:11,i:35},
D{l:11,t:11,i:90},
D{l:13,t:11,i:7},
D{l:13,t:11,i:71},
D{l:13,t:11,i:177},
D{l:142,t:11,i:422},
D{l:136,t:11,i:332},
D{l:135,t:0,i:1958},
D{l:6,t:0,i:549},
D{l:8,t:0,i:34},
D{l:8,t:0,i:283},
D{l:9,t:0,i:165},
D{l:138,t:0,i:475},
D{l:10,t:0,i:952},
D{l:12,t:0,i:966},
D{l:140,t:0,i:994},
D{l:5,t:0,i:652},
D{l:5,t:0,i:701},
D{l:135,t:0,i:449},
D{l:4,t:0,i:655},
D{l:7,t:0,i:850},
D{l:17,t:0,i:75},
D{l:146,t:0,i:137},
D{l:4,t:0,i:146},
D{l:7,t:0,i:1618},
D{l:8,t:0,i:670},
D{l:5,t:10,i:41},
D{l:7,t:10,i:1459},
D{l:7,t:10,i:1469},
D{l:7,t:10,i:1859},
D{l:9,t:10,i:549},
D{l:139,t:10,i:905},
D{l:133,t:10,i:696},
D{l:6,t:0,i:159},
D{l:6,t:0,i:364},
D{l:7,t:0,i:516},
D{l:137,t:0,i:518},
D{l:135,t:0,i:1439},
D{l:6,t:11,i:222},
D{l:7,t:11,i:636},
D{l:7,t:11,i:1620},
D{l:8,t:11,i:409},
D{l:9,t:11,i:693},
D{l:139,t:11,i:77},
D{l:13,t:0,i:151},
D{l:141,t:11,i:45},
D{l:6,t:0,i:1027},
D{l:4,t:11,i:336},
D{l:132,t:10,i:771},
D{l:139,t:11,i:392},
D{l:10,t:11,i:121},
D{l:11,t:11,i:175},
D{l:149,t:11,i:16},
D{l:8,t:0,i:950},
D{l:138,t:0,i:983},
D{l:133,t:10,i:921},
D{l:135,t:0,i:993},
D{l:6,t:10,i:180},
D{l:7,t:10,i:1137},
D{l:8,t:10,i:751},
D{l:139,t:10,i:805},
D{l:7,t:0,i:501},
D{l:9,t:0,i:111},
D{l:10,t:0,i:141},
D{l:11,t:0,i:332},
D{l:13,t:0,i:43},
D{l:13,t:0,i:429},
D{l:14,t:0,i:130},
D{l:14,t:0,i:415},
D{l:145,t:0,i:102},
D{l:4,t:10,i:183},
D{l:5,t:11,i:882},
D{l:7,t:10,i:271},
D{l:11,t:10,i:824},
D{l:11,t:10,i:952},
D{l:13,t:10,i:278},
D{l:13,t:10,i:339},
D{l:13,t:10,i:482},
D{l:14,t:10,i:424},
D{l:148,t:10,i:99},
D{l:4,t:10,i:19},
D{l:5,t:10,i:477},
D{l:5,t:10,i:596},
D{l:6,t:10,i:505},
D{l:7,t:10,i:1221},
D{l:11,t:10,i:907},
D{l:12,t:10,i:209},
D{l:141,t:10,i:214},
D{l:135,t:10,i:1215},
D{l:133,t:0,i:452},
D{l:132,t:11,i:426},
D{l:5,t:0,i:149},
D{l:136,t:0,i:233},
D{l:133,t:0,i:935},
D{l:6,t:11,i:58},
D{l:7,t:11,i:654},
D{l:7,t:11,i:745},
D{l:7,t:11,i:1969},
D{l:8,t:11,i:240},
D{l:8,t:11,i:675},
D{l:9,t:11,i:479},
D{l:9,t:11,i:731},
D{l:10,t:11,i:330},
D{l:10,t:11,i:593},
D{l:10,t:11,i:817},
D{l:11,t:11,i:32},
D{l:11,t:11,i:133},
D{l:11,t:11,i:221},
D{l:145,t:11,i:68},
D{l:12,t:0,i:582},
D{l:18,t:0,i:131},
D{l:7,t:11,i:102},
D{l:137,t:11,i:538},
D{l:136,t:0,i:801},
D{l:134,t:10,i:1645},
D{l:132,t:0,i:70},
D{l:6,t:10,i:92},
D{l:6,t:10,i:188},
D{l:7,t:10,i:1269},
D{l:7,t:10,i:1524},
D{l:7,t:10,i:1876},
D{l:10,t:10,i:228},
D{l:139,t:10,i:1020},
D{l:4,t:10,i:459},
D{l:133,t:10,i:966},
D{l:138,t:0,i:369},
D{l:16,t:0,i:36},
D{l:140,t:10,i:330},
D{l:141,t:11,i:366},
D{l:7,t:0,i:721},
D{l:10,t:0,i:236},
D{l:12,t:0,i:204},
D{l:6,t:10,i:18},
D{l:7,t:10,i:932},
D{l:8,t:10,i:757},
D{l:9,t:10,i:54},
D{l:9,t:10,i:65},
D{l:9,t:10,i:844},
D{l:10,t:10,i:113},
D{l:10,t:10,i:315},
D{l:10,t:10,i:798},
D{l:11,t:10,i:153},
D{l:12,t:10,i:151},
D{l:12,t:10,i:392},
D{l:12,t:10,i:666},
D{l:142,t:10,i:248},
D{l:7,t:0,i:241},
D{l:10,t:0,i:430},
D{l:8,t:10,i:548},
D{l:9,t:10,i:532},
D{l:10,t:10,i:117},
D{l:11,t:10,i:351},
D{l:11,t:10,i:375},
D{l:143,t:10,i:23},
D{l:134,t:10,i:1742},
D{l:133,t:10,i:965},
D{l:133,t:11,i:566},
D{l:6,t:11,i:48},
D{l:135,t:11,i:63},
D{l:134,t:10,i:182},
D{l:10,t:10,i:65},
D{l:10,t:10,i:488},
D{l:138,t:10,i:497},
D{l:6,t:11,i:114},
D{l:7,t:11,i:1224},
D{l:7,t:11,i:1556},
D{l:136,t:11,i:3},
D{l:134,t:0,i:1817},
D{l:8,t:11,i:576},
D{l:137,t:11,i:267},
D{l:6,t:0,i:1078},
D{l:144,t:0,i:16},
D{l:9,t:10,i:588},
D{l:138,t:10,i:260},
D{l:138,t:0,i:1021},
D{l:5,t:0,i:406},
D{l:134,t:0,i:2022},
D{l:133,t:11,i:933},
D{l:6,t:0,i:69},
D{l:135,t:0,i:117},
D{l:7,t:0,i:1830},
D{l:136,t:11,i:427},
D{l:4,t:0,i:432},
D{l:135,t:0,i:824},
D{l:134,t:10,i:1786},
D{l:133,t:0,i:826},
D{l:139,t:11,i:67},
D{l:133,t:11,i:759},
D{l:135,t:10,i:308},
D{l:137,t:0,i:816},
D{l:133,t:0,i:1000},
D{l:4,t:0,i:297},
D{l:6,t:0,i:529},
D{l:7,t:0,i:152},
D{l:7,t:0,i:713},
D{l:7,t:0,i:1845},
D{l:8,t:0,i:710},
D{l:8,t:0,i:717},
D{l:12,t:0,i:639},
D{l:140,t:0,i:685},
D{l:7,t:0,i:423},
D{l:136,t:10,i:588},
D{l:136,t:10,i:287},
D{l:136,t:0,i:510},
D{l:134,t:0,i:1048},
D{l:6,t:0,i:618},
D{l:7,t:11,i:56},
D{l:7,t:11,i:1989},
D{l:8,t:11,i:337},
D{l:8,t:11,i:738},
D{l:9,t:11,i:600},
D{l:10,t:11,i:483},
D{l:12,t:11,i:37},
D{l:13,t:11,i:447},
D{l:142,t:11,i:92},
D{l:4,t:0,i:520},
D{l:135,t:0,i:575},
D{l:8,t:0,i:990},
D{l:138,t:0,i:977},
D{l:135,t:11,i:774},
D{l:9,t:11,i:347},
D{l:11,t:11,i:24},
D{l:140,t:11,i:170},
D{l:136,t:11,i:379},
D{l:140,t:10,i:290},
D{l:132,t:11,i:328},
D{l:4,t:0,i:321},
D{l:134,t:0,i:569},
D{l:4,t:11,i:101},
D{l:135,t:11,i:1171},
D{l:7,t:0,i:723},
D{l:7,t:0,i:1135},
D{l:5,t:11,i:833},
D{l:136,t:11,i:744},
D{l:7,t:10,i:719},
D{l:8,t:10,i:809},
D{l:136,t:10,i:834},
D{l:8,t:0,i:921},
D{l:136,t:10,i:796},
D{l:5,t:10,i:210},
D{l:6,t:10,i:213},
D{l:7,t:10,i:60},
D{l:10,t:10,i:364},
D{l:139,t:10,i:135},
D{l:5,t:0,i:397},
D{l:6,t:0,i:154},
D{l:7,t:0,i:676},
D{l:8,t:0,i:443},
D{l:8,t:0,i:609},
D{l:9,t:0,i:24},
D{l:9,t:0,i:325},
D{l:10,t:0,i:35},
D{l:11,t:0,i:535},
D{l:11,t:0,i:672},
D{l:11,t:0,i:1018},
D{l:12,t:0,i:637},
D{l:16,t:0,i:30},
D{l:5,t:10,i:607},
D{l:8,t:10,i:326},
D{l:136,t:10,i:490},
D{l:4,t:10,i:701},
D{l:5,t:10,i:472},
D{l:6,t:11,i:9},
D{l:6,t:11,i:397},
D{l:7,t:11,i:53},
D{l:7,t:11,i:1742},
D{l:9,t:10,i:758},
D{l:10,t:11,i:632},
D{l:11,t:11,i:828},
D{l:140,t:11,i:146},
D{l:135,t:10,i:380},
D{l:135,t:10,i:1947},
D{l:148,t:11,i:109},
D{l:10,t:10,i:278},
D{l:138,t:11,i:278},
D{l:134,t:0,i:856},
D{l:7,t:0,i:139},
D{l:4,t:10,i:386},
D{l:8,t:10,i:405},
D{l:8,t:10,i:728},
D{l:9,t:10,i:497},
D{l:11,t:10,i:110},
D{l:11,t:10,i:360},
D{l:15,t:10,i:37},
D{l:144,t:10,i:84},
D{l:141,t:0,i:282},
D{l:133,t:0,i:981},
D{l:5,t:0,i:288},
D{l:7,t:10,i:1452},
D{l:7,t:10,i:1480},
D{l:8,t:10,i:634},
D{l:140,t:10,i:472},
D{l:7,t:0,i:1890},
D{l:8,t:11,i:367},
D{l:10,t:11,i:760},
D{l:14,t:11,i:79},
D{l:20,t:11,i:17},
D{l:152,t:11,i:0},
D{l:4,t:10,i:524},
D{l:136,t:10,i:810},
D{l:4,t:0,i:56},
D{l:7,t:0,i:1791},
D{l:8,t:0,i:607},
D{l:8,t:0,i:651},
D{l:11,t:0,i:465},
D{l:11,t:0,i:835},
D{l:12,t:0,i:337},
D{l:141,t:0,i:480},
D{l:10,t:10,i:238},
D{l:141,t:10,i:33},
D{l:11,t:11,i:417},
D{l:12,t:11,i:223},
D{l:140,t:11,i:265},
D{l:9,t:0,i:158},
D{l:10,t:0,i:411},
D{l:140,t:0,i:261},
D{l:133,t:10,i:532},
D{l:133,t:10,i:997},
D{l:12,t:11,i:186},
D{l:12,t:11,i:292},
D{l:14,t:11,i:100},
D{l:146,t:11,i:70},
D{l:6,t:0,i:1403},
D{l:136,t:0,i:617},
D{l:134,t:0,i:1205},
D{l:139,t:0,i:563},
D{l:4,t:0,i:242},
D{l:134,t:0,i:333},
D{l:4,t:11,i:186},
D{l:5,t:11,i:157},
D{l:8,t:11,i:168},
D{l:138,t:11,i:6},
D{l:132,t:0,i:369},
D{l:133,t:11,i:875},
D{l:5,t:10,i:782},
D{l:5,t:10,i:829},
D{l:134,t:10,i:1738},
D{l:134,t:0,i:622},
D{l:135,t:11,i:1272},
D{l:6,t:0,i:1407},
D{l:7,t:11,i:111},
D{l:136,t:11,i:581},
D{l:7,t:10,i:1823},
D{l:139,t:10,i:693},
D{l:7,t:0,i:160},
D{l:10,t:0,i:624},
D{l:142,t:0,i:279},
D{l:132,t:0,i:363},
D{l:10,t:11,i:589},
D{l:12,t:11,i:111},
D{l:13,t:11,i:260},
D{l:14,t:11,i:82},
D{l:18,t:11,i:63},
D{l:147,t:11,i:45},
D{l:7,t:11,i:1364},
D{l:7,t:11,i:1907},
D{l:141,t:11,i:158},
D{l:4,t:11,i:404},
D{l:4,t:11,i:659},
D{l:135,t:11,i:675},
D{l:13,t:11,i:211},
D{l:14,t:11,i:133},
D{l:14,t:11,i:204},
D{l:15,t:11,i:64},
D{l:15,t:11,i:69},
D{l:15,t:11,i:114},
D{l:16,t:11,i:10},
D{l:19,t:11,i:23},
D{l:19,t:11,i:35},
D{l:19,t:11,i:39},
D{l:19,t:11,i:51},
D{l:19,t:11,i:71},
D{l:19,t:11,i:75},
D{l:152,t:11,i:15},
D{l:4,t:10,i:78},
D{l:5,t:10,i:96},
D{l:5,t:10,i:182},
D{l:7,t:10,i:1724},
D{l:7,t:10,i:1825},
D{l:10,t:10,i:394},
D{l:10,t:10,i:471},
D{l:11,t:10,i:532},
D{l:14,t:10,i:340},
D{l:145,t:10,i:88},
D{l:135,t:10,i:1964},
D{l:133,t:11,i:391},
D{l:11,t:11,i:887},
D{l:14,t:11,i:365},
D{l:142,t:11,i:375},
D{l:5,t:11,i:540},
D{l:6,t:11,i:1697},
D{l:7,t:11,i:222},
D{l:136,t:11,i:341},
D{l:134,t:11,i:78},
D{l:9,t:0,i:601},
D{l:9,t:0,i:619},
D{l:10,t:0,i:505},
D{l:10,t:0,i:732},
D{l:11,t:0,i:355},
D{l:140,t:0,i:139},
D{l:134,t:0,i:292},
D{l:139,t:0,i:174},
D{l:5,t:0,i:177},
D{l:6,t:0,i:616},
D{l:7,t:0,i:827},
D{l:9,t:0,i:525},
D{l:138,t:0,i:656},
D{l:10,t:0,i:31},
D{l:6,t:10,i:215},
D{l:7,t:10,i:1028},
D{l:7,t:10,i:1473},
D{l:7,t:10,i:1721},
D{l:9,t:10,i:424},
D{l:138,t:10,i:779},
D{l:135,t:10,i:584},
D{l:136,t:11,i:293},
D{l:134,t:0,i:685},
D{l:135,t:11,i:1868},
D{l:133,t:11,i:460},
D{l:7,t:0,i:647},
D{l:6,t:10,i:67},
D{l:7,t:10,i:1630},
D{l:9,t:10,i:354},
D{l:9,t:10,i:675},
D{l:10,t:10,i:830},
D{l:14,t:10,i:80},
D{l:145,t:10,i:80},
D{l:4,t:0,i:161},
D{l:133,t:0,i:631},
D{l:6,t:10,i:141},
D{l:7,t:10,i:225},
D{l:9,t:10,i:59},
D{l:9,t:10,i:607},
D{l:10,t:10,i:312},
D{l:11,t:10,i:687},
D{l:12,t:10,i:555},
D{l:13,t:10,i:373},
D{l:13,t:10,i:494},
D{l:148,t:10,i:58},
D{l:7,t:11,i:965},
D{l:7,t:11,i:1460},
D{l:135,t:11,i:1604},
D{l:136,t:10,i:783},
D{l:134,t:11,i:388},
D{l:6,t:0,i:722},
D{l:6,t:0,i:1267},
D{l:4,t:11,i:511},
D{l:9,t:11,i:333},
D{l:9,t:11,i:379},
D{l:10,t:11,i:602},
D{l:11,t:11,i:441},
D{l:11,t:11,i:723},
D{l:11,t:11,i:976},
D{l:140,t:11,i:357},
D{l:134,t:0,i:1797},
D{l:135,t:0,i:1684},
D{l:9,t:0,i:469},
D{l:9,t:0,i:709},
D{l:12,t:0,i:512},
D{l:14,t:0,i:65},
D{l:17,t:0,i:12},
D{l:5,t:11,i:938},
D{l:136,t:11,i:707},
D{l:7,t:0,i:1230},
D{l:136,t:0,i:531},
D{l:10,t:0,i:229},
D{l:11,t:0,i:73},
D{l:11,t:0,i:376},
D{l:139,t:0,i:433},
D{l:12,t:0,i:268},
D{l:12,t:0,i:640},
D{l:142,t:0,i:119},
D{l:7,t:10,i:430},
D{l:139,t:10,i:46},
D{l:6,t:0,i:558},
D{l:7,t:0,i:651},
D{l:8,t:0,i:421},
D{l:9,t:0,i:0},
D{l:10,t:0,i:34},
D{l:139,t:0,i:1008},
D{l:6,t:0,i:106},
D{l:7,t:0,i:1786},
D{l:7,t:0,i:1821},
D{l:9,t:0,i:102},
D{l:9,t:0,i:763},
D{l:5,t:10,i:602},
D{l:7,t:10,i:2018},
D{l:137,t:10,i:418},
D{l:5,t:0,i:65},
D{l:6,t:0,i:416},
D{l:7,t:0,i:1720},
D{l:7,t:0,i:1924},
D{l:10,t:0,i:109},
D{l:11,t:0,i:14},
D{l:11,t:0,i:70},
D{l:11,t:0,i:569},
D{l:11,t:0,i:735},
D{l:15,t:0,i:153},
D{l:20,t:0,i:80},
D{l:136,t:10,i:677},
D{l:135,t:11,i:1625},
D{l:137,t:11,i:772},
D{l:136,t:0,i:595},
D{l:6,t:11,i:469},
D{l:7,t:11,i:1709},
D{l:138,t:11,i:515},
D{l:7,t:0,i:1832},
D{l:138,t:0,i:374},
D{l:9,t:0,i:106},
D{l:9,t:0,i:163},
D{l:9,t:0,i:296},
D{l:10,t:0,i:167},
D{l:10,t:0,i:172},
D{l:10,t:0,i:777},
D{l:139,t:0,i:16},
D{l:6,t:0,i:6},
D{l:7,t:0,i:81},
D{l:7,t:0,i:771},
D{l:7,t:0,i:1731},
D{l:9,t:0,i:405},
D{l:138,t:0,i:421},
D{l:4,t:11,i:500},
D{l:135,t:11,i:938},
D{l:5,t:11,i:68},
D{l:134,t:11,i:383},
D{l:5,t:0,i:881},
D{l:133,t:0,i:885},
D{l:6,t:0,i:854},
D{l:6,t:0,i:1132},
D{l:6,t:0,i:1495},
D{l:6,t:0,i:1526},
D{l:6,t:0,i:1533},
D{l:134,t:0,i:1577},
D{l:4,t:11,i:337},
D{l:6,t:11,i:353},
D{l:7,t:11,i:1934},
D{l:8,t:11,i:488},
D{l:137,t:11,i:429},
D{l:7,t:11,i:236},
D{l:7,t:11,i:1795},
D{l:8,t:11,i:259},
D{l:9,t:11,i:135},
D{l:9,t:11,i:177},
D{l:10,t:11,i:825},
D{l:11,t:11,i:115},
D{l:11,t:11,i:370},
D{l:11,t:11,i:405},
D{l:11,t:11,i:604},
D{l:12,t:11,i:10},
D{l:12,t:11,i:667},
D{l:12,t:11,i:669},
D{l:13,t:11,i:76},
D{l:14,t:11,i:310},
D{l:15,t:11,i:76},
D{l:15,t:11,i:147},
D{l:148,t:11,i:23},
D{l:5,t:0,i:142},
D{l:134,t:0,i:546},
D{l:4,t:11,i:15},
D{l:5,t:11,i:22},
D{l:6,t:11,i:244},
D{l:7,t:11,i:40},
D{l:7,t:11,i:200},
D{l:7,t:11,i:906},
D{l:7,t:11,i:1199},
D{l:9,t:11,i:616},
D{l:10,t:11,i:716},
D{l:11,t:11,i:635},
D{l:11,t:11,i:801},
D{l:140,t:11,i:458},
D{l:5,t:0,i:466},
D{l:11,t:0,i:571},
D{l:12,t:0,i:198},
D{l:13,t:0,i:283},
D{l:14,t:0,i:186},
D{l:15,t:0,i:21},
D{l:15,t:0,i:103},
D{l:135,t:10,i:329},
D{l:4,t:0,i:185},
D{l:5,t:0,i:257},
D{l:5,t:0,i:839},
D{l:5,t:0,i:936},
D{l:9,t:0,i:399},
D{l:10,t:0,i:258},
D{l:10,t:0,i:395},
D{l:10,t:0,i:734},
D{l:11,t:0,i:1014},
D{l:12,t:0,i:23},
D{l:13,t:0,i:350},
D{l:14,t:0,i:150},
D{l:19,t:0,i:6},
D{l:135,t:11,i:1735},
D{l:12,t:11,i:36},
D{l:141,t:11,i:337},
D{l:5,t:11,i:598},
D{l:7,t:11,i:791},
D{l:8,t:11,i:108},
D{l:137,t:11,i:123},
D{l:132,t:10,i:469},
D{l:7,t:0,i:404},
D{l:7,t:0,i:1377},
D{l:7,t:0,i:1430},
D{l:7,t:0,i:2017},
D{l:8,t:0,i:149},
D{l:8,t:0,i:239},
D{l:8,t:0,i:512},
D{l:8,t:0,i:793},
D{l:8,t:0,i:818},
D{l:9,t:0,i:474},
D{l:9,t:0,i:595},
D{l:10,t:0,i:122},
D{l:10,t:0,i:565},
D{l:10,t:0,i:649},
D{l:10,t:0,i:783},
D{l:11,t:0,i:239},
D{l:11,t:0,i:295},
D{l:11,t:0,i:447},
D{l:11,t:0,i:528},
D{l:11,t:0,i:639},
D{l:11,t:0,i:800},
D{l:12,t:0,i:25},
D{l:12,t:0,i:77},
D{l:12,t:0,i:157},
D{l:12,t:0,i:256},
D{l:12,t:0,i:316},
D{l:12,t:0,i:390},
D{l:12,t:0,i:391},
D{l:12,t:0,i:395},
D{l:12,t:0,i:478},
D{l:12,t:0,i:503},
D{l:12,t:0,i:592},
D{l:12,t:0,i:680},
D{l:13,t:0,i:50},
D{l:13,t:0,i:53},
D{l:13,t:0,i:132},
D{l:13,t:0,i:198},
D{l:13,t:0,i:322},
D{l:13,t:0,i:415},
D{l:13,t:0,i:511},
D{l:14,t:0,i:71},
D{l:14,t:0,i:395},
D{l:15,t:0,i:71},
D{l:15,t:0,i:136},
D{l:17,t:0,i:123},
D{l:18,t:0,i:93},
D{l:147,t:0,i:58},
D{l:136,t:0,i:712},
D{l:134,t:10,i:1743},
D{l:5,t:10,i:929},
D{l:6,t:10,i:340},
D{l:8,t:10,i:376},
D{l:136,t:10,i:807},
D{l:6,t:0,i:1848},
D{l:8,t:0,i:860},
D{l:10,t:0,i:856},
D{l:10,t:0,i:859},
D{l:10,t:0,i:925},
D{l:10,t:0,i:941},
D{l:140,t:0,i:762},
D{l:6,t:0,i:629},
D{l:6,t:0,i:906},
D{l:9,t:0,i:810},
D{l:140,t:0,i:652},
D{l:5,t:10,i:218},
D{l:7,t:10,i:1610},
D{l:138,t:10,i:83},
D{l:7,t:10,i:1512},
D{l:135,t:10,i:1794},
D{l:4,t:0,i:377},
D{l:24,t:0,i:13},
D{l:4,t:11,i:155},
D{l:7,t:11,i:1689},
D{l:11,t:10,i:0},
D{l:144,t:10,i:78},
D{l:4,t:11,i:164},
D{l:5,t:11,i:151},
D{l:5,t:11,i:730},
D{l:5,t:11,i:741},
D{l:7,t:11,i:498},
D{l:7,t:11,i:870},
D{l:7,t:11,i:1542},
D{l:12,t:11,i:213},
D{l:14,t:11,i:36},
D{l:14,t:11,i:391},
D{l:17,t:11,i:111},
D{l:18,t:11,i:6},
D{l:18,t:11,i:46},
D{l:18,t:11,i:151},
D{l:19,t:11,i:36},
D{l:20,t:11,i:32},
D{l:20,t:11,i:56},
D{l:20,t:11,i:69},
D{l:20,t:11,i:102},
D{l:21,t:11,i:4},
D{l:22,t:11,i:8},
D{l:22,t:11,i:10},
D{l:22,t:11,i:14},
D{l:150,t:11,i:31},
D{l:7,t:0,i:1842},
D{l:133,t:10,i:571},
D{l:4,t:10,i:455},
D{l:4,t:11,i:624},
D{l:135,t:11,i:1752},
D{l:134,t:0,i:1501},
D{l:4,t:11,i:492},
D{l:5,t:11,i:451},
D{l:6,t:10,i:161},
D{l:7,t:10,i:372},
D{l:137,t:10,i:597},
D{l:132,t:10,i:349},
D{l:4,t:0,i:180},
D{l:135,t:0,i:1906},
D{l:135,t:11,i:835},
D{l:141,t:11,i:70},
D{l:132,t:0,i:491},
D{l:137,t:10,i:751},
D{l:6,t:10,i:432},
D{l:139,t:10,i:322},
D{l:4,t:0,i:171},
D{l:138,t:0,i:234},
D{l:6,t:11,i:113},
D{l:135,t:11,i:436},
D{l:4,t:0,i:586},
D{l:7,t:0,i:1186},
D{l:138,t:0,i:631},
D{l:5,t:10,i:468},
D{l:10,t:10,i:325},
D{l:11,t:10,i:856},
D{l:12,t:10,i:345},
D{l:143,t:10,i:104},
D{l:5,t:10,i:223},
D{l:10,t:11,i:592},
D{l:10,t:11,i:753},
D{l:12,t:11,i:317},
D{l:12,t:11,i:355},
D{l:12,t:11,i:465},
D{l:12,t:11,i:469},
D{l:12,t:11,i:560},
D{l:12,t:11,i:578},
D{l:141,t:11,i:243},
D{l:132,t:10,i:566},
D{l:135,t:11,i:520},
D{l:4,t:10,i:59},
D{l:135,t:10,i:1394},
D{l:6,t:10,i:436},
D{l:139,t:10,i:481},
D{l:9,t:0,i:931},
D{l:10,t:0,i:334},
D{l:20,t:0,i:71},
D{l:4,t:10,i:48},
D{l:5,t:10,i:271},
D{l:7,t:10,i:953},
D{l:135,t:11,i:1878},
D{l:11,t:0,i:170},
D{l:5,t:10,i:610},
D{l:136,t:10,i:457},
D{l:133,t:10,i:755},
D{l:6,t:0,i:1587},
D{l:135,t:10,i:1217},
D{l:4,t:10,i:197},
D{l:149,t:11,i:26},
D{l:133,t:11,i:585},
D{l:137,t:11,i:521},
D{l:133,t:0,i:765},
D{l:133,t:10,i:217},
D{l:139,t:11,i:586},
D{l:133,t:0,i:424},
D{l:9,t:11,i:752},
D{l:12,t:11,i:610},
D{l:13,t:11,i:431},
D{l:16,t:11,i:59},
D{l:146,t:11,i:109},
D{l:136,t:0,i:714},
D{l:7,t:0,i:685},
D{l:132,t:11,i:307},
D{l:9,t:0,i:420},
D{l:10,t:0,i:269},
D{l:10,t:0,i:285},
D{l:10,t:0,i:576},
D{l:11,t:0,i:397},
D{l:13,t:0,i:175},
D{l:145,t:0,i:90},
D{l:132,t:0,i:429},
D{l:133,t:11,i:964},
D{l:9,t:11,i:463},
D{l:138,t:11,i:595},
D{l:7,t:0,i:18},
D{l:7,t:0,i:699},
D{l:7,t:0,i:1966},
D{l:8,t:0,i:752},
D{l:9,t:0,i:273},
D{l:9,t:0,i:412},
D{l:9,t:0,i:703},
D{l:10,t:0,i:71},
D{l:10,t:0,i:427},
D{l:138,t:0,i:508},
D{l:4,t:10,i:165},
D{l:7,t:10,i:1398},
D{l:135,t:10,i:1829},
D{l:4,t:0,i:53},
D{l:5,t:0,i:186},
D{l:7,t:0,i:752},
D{l:7,t:0,i:828},
D{l:142,t:0,i:116},
D{l:8,t:0,i:575},
D{l:10,t:0,i:289},
D{l:139,t:0,i:319},
D{l:132,t:0,i:675},
D{l:134,t:0,i:1424},
D{l:4,t:11,i:75},
D{l:5,t:11,i:180},
D{l:6,t:11,i:500},
D{l:7,t:11,i:58},
D{l:7,t:11,i:710},
D{l:138,t:11,i:645},
D{l:133,t:11,i:649},
D{l:6,t:11,i:276},
D{l:7,t:11,i:282},
D{l:7,t:11,i:879},
D{l:7,t:11,i:924},
D{l:8,t:11,i:459},
D{l:9,t:11,i:599},
D{l:9,t:11,i:754},
D{l:11,t:11,i:574},
D{l:12,t:11,i:128},
D{l:12,t:11,i:494},
D{l:13,t:11,i:52},
D{l:13,t:11,i:301},
D{l:15,t:11,i:30},
D{l:143,t:11,i:132},
D{l:6,t:0,i:647},
D{l:134,t:0,i:1095},
D{l:5,t:10,i:9},
D{l:7,t:10,i:297},
D{l:7,t:10,i:966},
D{l:140,t:10,i:306},
D{l:132,t:11,i:200},
D{l:134,t:0,i:1334},
D{l:5,t:10,i:146},
D{l:6,t:10,i:411},
D{l:138,t:10,i:721},
D{l:6,t:0,i:209},
D{l:6,t:0,i:1141},
D{l:6,t:0,i:1288},
D{l:8,t:0,i:468},
D{l:9,t:0,i:210},
D{l:11,t:0,i:36},
D{l:12,t:0,i:28},
D{l:12,t:0,i:630},
D{l:13,t:0,i:21},
D{l:13,t:0,i:349},
D{l:14,t:0,i:7},
D{l:145,t:0,i:13},
D{l:6,t:10,i:177},
D{l:135,t:10,i:467},
D{l:4,t:0,i:342},
D{l:135,t:0,i:1179},
D{l:10,t:11,i:454},
D{l:140,t:11,i:324},
D{l:4,t:0,i:928},
D{l:133,t:0,i:910},
D{l:7,t:0,i:1838},
D{l:6,t:11,i:225},
D{l:137,t:11,i:211},
D{l:16,t:0,i:101},
D{l:20,t:0,i:115},
D{l:20,t:0,i:118},
D{l:148,t:0,i:122},
D{l:4,t:0,i:496},
D{l:135,t:0,i:856},
D{l:4,t:0,i:318},
D{l:11,t:0,i:654},
D{l:7,t:11,i:718},
D{l:139,t:11,i:102},
D{l:8,t:11,i:58},
D{l:9,t:11,i:724},
D{l:11,t:11,i:809},
D{l:13,t:11,i:113},
D{l:145,t:11,i:72},
D{l:5,t:10,i:200},
D{l:6,t:11,i:345},
D{l:135,t:11,i:1247},
D{l:8,t:11,i:767},
D{l:8,t:11,i:803},
D{l:9,t:11,i:301},
D{l:137,t:11,i:903},
D{l:7,t:0,i:915},
D{l:8,t:0,i:247},
D{l:19,t:0,i:0},
D{l:7,t:11,i:1949},
D{l:136,t:11,i:674},
D{l:4,t:0,i:202},
D{l:5,t:0,i:382},
D{l:6,t:0,i:454},
D{l:7,t:0,i:936},
D{l:7,t:0,i:1803},
D{l:8,t:0,i:758},
D{l:9,t:0,i:375},
D{l:9,t:0,i:895},
D{l:10,t:0,i:743},
D{l:10,t:0,i:792},
D{l:11,t:0,i:978},
D{l:11,t:0,i:1012},
D{l:142,t:0,i:109},
D{l:7,t:0,i:1150},
D{l:7,t:0,i:1425},
D{l:7,t:0,i:1453},
D{l:140,t:0,i:513},
D{l:134,t:11,i:259},
D{l:138,t:0,i:791},
D{l:11,t:0,i:821},
D{l:12,t:0,i:110},
D{l:12,t:0,i:153},
D{l:18,t:0,i:41},
D{l:150,t:0,i:19},
D{l:134,t:10,i:481},
D{l:132,t:0,i:796},
D{l:6,t:0,i:445},
D{l:9,t:0,i:909},
D{l:136,t:11,i:254},
D{l:10,t:0,i:776},
D{l:13,t:0,i:345},
D{l:142,t:0,i:425},
D{l:4,t:10,i:84},
D{l:7,t:10,i:1482},
D{l:10,t:10,i:76},
D{l:138,t:10,i:142},
D{l:135,t:11,i:742},
D{l:6,t:0,i:578},
D{l:133,t:10,i:1015},
D{l:6,t:0,i:1387},
D{l:4,t:10,i:315},
D{l:5,t:10,i:507},
D{l:135,t:10,i:1370},
D{l:4,t:0,i:438},
D{l:133,t:0,i:555},
D{l:136,t:0,i:766},
D{l:133,t:11,i:248},
D{l:134,t:10,i:1722},
D{l:4,t:11,i:116},
D{l:5,t:11,i:95},
D{l:5,t:11,i:445},
D{l:7,t:11,i:1688},
D{l:8,t:11,i:29},
D{l:9,t:11,i:272},
D{l:11,t:11,i:509},
D{l:139,t:11,i:915},
D{l:135,t:0,i:541},
D{l:133,t:11,i:543},
D{l:8,t:10,i:222},
D{l:8,t:10,i:476},
D{l:9,t:10,i:238},
D{l:11,t:10,i:516},
D{l:11,t:10,i:575},
D{l:15,t:10,i:109},
D{l:146,t:10,i:100},
D{l:6,t:0,i:880},
D{l:134,t:0,i:1191},
D{l:5,t:11,i:181},
D{l:136,t:11,i:41},
D{l:134,t:0,i:1506},
D{l:132,t:11,i:681},
D{l:7,t:11,i:25},
D{l:8,t:11,i:202},
D{l:138,t:11,i:536},
D{l:139,t:0,i:983},
D{l:137,t:0,i:768},
D{l:132,t:0,i:584},
D{l:9,t:11,i:423},
D{l:140,t:11,i:89},
D{l:8,t:11,i:113},
D{l:9,t:11,i:877},
D{l:10,t:11,i:554},
D{l:11,t:11,i:83},
D{l:12,t:11,i:136},
D{l:147,t:11,i:109},
D{l:7,t:10,i:706},
D{l:7,t:10,i:1058},
D{l:138,t:10,i:538},
D{l:133,t:11,i:976},
D{l:4,t:11,i:206},
D{l:135,t:11,i:746},
D{l:136,t:11,i:526},
D{l:140,t:0,i:737},
D{l:11,t:10,i:92},
D{l:11,t:10,i:196},
D{l:11,t:10,i:409},
D{l:11,t:10,i:450},
D{l:11,t:10,i:666},
D{l:11,t:10,i:777},
D{l:12,t:10,i:262},
D{l:13,t:10,i:385},
D{l:13,t:10,i:393},
D{l:15,t:10,i:115},
D{l:16,t:10,i:45},
D{l:145,t:10,i:82},
D{l:4,t:0,i:226},
D{l:4,t:0,i:326},
D{l:7,t:0,i:1770},
D{l:4,t:11,i:319},
D{l:5,t:11,i:699},
D{l:138,t:11,i:673},
D{l:6,t:10,i:40},
D{l:135,t:10,i:1781},
D{l:5,t:0,i:426},
D{l:8,t:0,i:30},
D{l:9,t:0,i:2},
D{l:11,t:0,i:549},
D{l:147,t:0,i:122},
D{l:6,t:0,i:1161},
D{l:134,t:0,i:1329},
D{l:138,t:10,i:97},
D{l:6,t:10,i:423},
D{l:7,t:10,i:665},
D{l:135,t:10,i:1210},
D{l:7,t:11,i:13},
D{l:8,t:11,i:226},
D{l:10,t:11,i:537},
D{l:11,t:11,i:570},
D{l:11,t:11,i:605},
D{l:11,t:11,i:799},
D{l:11,t:11,i:804},
D{l:12,t:11,i:85},
D{l:12,t:11,i:516},
D{l:12,t:11,i:623},
D{l:13,t:11,i:112},
D{l:13,t:11,i:361},
D{l:14,t:11,i:77},
D{l:14,t:11,i:78},
D{l:17,t:11,i:28},
D{l:147,t:11,i:110},
D{l:132,t:11,i:769},
D{l:132,t:11,i:551},
D{l:132,t:11,i:728},
D{l:147,t:0,i:117},
D{l:9,t:11,i:57},
D{l:9,t:11,i:459},
D{l:10,t:11,i:425},
D{l:11,t:11,i:119},
D{l:12,t:11,i:184},
D{l:12,t:11,i:371},
D{l:13,t:11,i:358},
D{l:145,t:11,i:51},
D{l:5,t:11,i:188},
D{l:5,t:11,i:814},
D{l:8,t:11,i:10},
D{l:9,t:11,i:421},
D{l:9,t:11,i:729},
D{l:10,t:11,i:609},
D{l:139,t:11,i:689},
D{l:134,t:11,i:624},
D{l:135,t:11,i:298},
D{l:135,t:0,i:462},
D{l:4,t:0,i:345},
D{l:139,t:10,i:624},
D{l:136,t:10,i:574},
D{l:4,t:0,i:385},
D{l:7,t:0,i:265},
D{l:135,t:0,i:587},
D{l:6,t:0,i:808},
D{l:132,t:11,i:528},
D{l:133,t:0,i:398},
D{l:132,t:10,i:354},
D{l:4,t:0,i:347},
D{l:5,t:0,i:423},
D{l:5,t:0,i:996},
D{l:135,t:0,i:1329},
D{l:135,t:10,i:1558},
D{l:7,t:0,i:1259},
D{l:9,t:0,i:125},
D{l:139,t:0,i:65},
D{l:5,t:0,i:136},
D{l:6,t:0,i:136},
D{l:136,t:0,i:644},
D{l:5,t:11,i:104},
D{l:6,t:11,i:173},
D{l:135,t:11,i:1631},
D{l:135,t:0,i:469},
D{l:133,t:10,i:830},
D{l:4,t:0,i:278},
D{l:5,t:0,i:465},
D{l:135,t:0,i:1367},
D{l:7,t:11,i:810},
D{l:8,t:11,i:138},
D{l:8,t:11,i:342},
D{l:9,t:11,i:84},
D{l:10,t:11,i:193},
D{l:11,t:11,i:883},
D{l:140,t:11,i:359},
D{l:5,t:10,i:496},
D{l:135,t:10,i:203},
D{l:4,t:0,i:433},
D{l:133,t:0,i:719},
D{l:6,t:11,i:95},
D{l:134,t:10,i:547},
D{l:5,t:10,i:88},
D{l:137,t:10,i:239},
D{l:6,t:11,i:406},
D{l:10,t:11,i:409},
D{l:10,t:11,i:447},
D{l:11,t:11,i:44},
D{l:140,t:11,i:100},
D{l:134,t:0,i:1423},
D{l:7,t:10,i:650},
D{l:135,t:10,i:1310},
D{l:134,t:0,i:749},
D{l:135,t:11,i:1243},
D{l:135,t:0,i:1363},
D{l:6,t:0,i:381},
D{l:7,t:0,i:645},
D{l:7,t:0,i:694},
D{l:8,t:0,i:546},
D{l:7,t:10,i:1076},
D{l:9,t:10,i:80},
D{l:11,t:10,i:78},
D{l:11,t:10,i:421},
D{l:11,t:10,i:534},
D{l:140,t:10,i:545},
D{l:134,t:11,i:1636},
D{l:135,t:11,i:1344},
D{l:12,t:0,i:277},
D{l:7,t:10,i:274},
D{l:11,t:10,i:479},
D{l:139,t:10,i:507},
D{l:6,t:0,i:705},
D{l:6,t:0,i:783},
D{l:6,t:0,i:1275},
D{l:6,t:0,i:1481},
D{l:4,t:11,i:282},
D{l:7,t:11,i:1034},
D{l:11,t:11,i:398},
D{l:11,t:11,i:634},
D{l:12,t:11,i:1},
D{l:12,t:11,i:79},
D{l:12,t:11,i:544},
D{l:14,t:11,i:237},
D{l:17,t:11,i:10},
D{l:146,t:11,i:20},
D{l:134,t:0,i:453},
D{l:4,t:0,i:555},
D{l:8,t:0,i:536},
D{l:10,t:0,i:288},
D{l:11,t:0,i:1005},
D{l:4,t:10,i:497},
D{l:135,t:10,i:1584},
D{l:5,t:11,i:118},
D{l:5,t:11,i:499},
D{l:6,t:11,i:476},
D{l:7,t:11,i:600},
D{l:7,t:11,i:888},
D{l:135,t:11,i:1096},
D{l:138,t:0,i:987},
D{l:7,t:0,i:1107},
D{l:7,t:10,i:261},
D{l:7,t:10,i:1115},
D{l:7,t:10,i:1354},
D{l:7,t:10,i:1588},
D{l:7,t:10,i:1705},
D{l:7,t:10,i:1902},
D{l:9,t:10,i:465},
D{l:10,t:10,i:248},
D{l:10,t:10,i:349},
D{l:10,t:10,i:647},
D{l:11,t:10,i:527},
D{l:11,t:10,i:660},
D{l:11,t:10,i:669},
D{l:12,t:10,i:529},
D{l:141,t:10,i:305},
D{l:7,t:11,i:296},
D{l:7,t:11,i:596},
D{l:8,t:11,i:560},
D{l:8,t:11,i:586},
D{l:9,t:11,i:612},
D{l:11,t:11,i:100},
D{l:11,t:11,i:304},
D{l:12,t:11,i:46},
D{l:13,t:11,i:89},
D{l:14,t:11,i:112},
D{l:145,t:11,i:122},
D{l:9,t:0,i:370},
D{l:138,t:0,i:90},
D{l:136,t:10,i:13},
D{l:132,t:0,i:860},
D{l:7,t:10,i:642},
D{l:8,t:10,i:250},
D{l:11,t:10,i:123},
D{l:11,t:10,i:137},
D{l:13,t:10,i:48},
D{l:142,t:10,i:95},
D{l:135,t:10,i:1429},
D{l:137,t:11,i:321},
D{l:132,t:0,i:257},
D{l:135,t:0,i:2031},
D{l:7,t:0,i:1768},
D{l:7,t:11,i:1599},
D{l:7,t:11,i:1723},
D{l:8,t:11,i:79},
D{l:8,t:11,i:106},
D{l:8,t:11,i:190},
D{l:8,t:11,i:302},
D{l:8,t:11,i:383},
D{l:9,t:11,i:119},
D{l:9,t:11,i:233},
D{l:9,t:11,i:298},
D{l:9,t:11,i:419},
D{l:9,t:11,i:471},
D{l:10,t:11,i:181},
D{l:10,t:11,i:406},
D{l:11,t:11,i:57},
D{l:11,t:11,i:85},
D{l:11,t:11,i:120},
D{l:11,t:11,i:177},
D{l:11,t:11,i:296},
D{l:11,t:11,i:382},
D{l:11,t:11,i:454},
D{l:11,t:11,i:758},
D{l:11,t:11,i:999},
D{l:12,t:11,i:27},
D{l:12,t:11,i:98},
D{l:12,t:11,i:131},
D{l:12,t:11,i:245},
D{l:12,t:11,i:312},
D{l:12,t:11,i:446},
D{l:12,t:11,i:454},
D{l:13,t:11,i:25},
D{l:13,t:11,i:98},
D{l:13,t:11,i:426},
D{l:13,t:11,i:508},
D{l:14,t:11,i:6},
D{l:14,t:11,i:163},
D{l:14,t:11,i:272},
D{l:14,t:11,i:277},
D{l:14,t:11,i:370},
D{l:15,t:11,i:95},
D{l:15,t:11,i:138},
D{l:15,t:11,i:167},
D{l:17,t:11,i:18},
D{l:17,t:11,i:38},
D{l:20,t:11,i:96},
D{l:149,t:11,i:32},
D{l:5,t:11,i:722},
D{l:134,t:11,i:1759},
D{l:145,t:11,i:16},
D{l:6,t:0,i:1071},
D{l:134,t:0,i:1561},
D{l:10,t:10,i:545},
D{l:140,t:10,i:301},
D{l:6,t:0,i:83},
D{l:6,t:0,i:1733},
D{l:135,t:0,i:1389},
D{l:4,t:0,i:835},
D{l:135,t:0,i:1818},
D{l:133,t:11,i:258},
D{l:4,t:10,i:904},
D{l:133,t:10,i:794},
D{l:134,t:0,i:2006},
D{l:5,t:11,i:30},
D{l:7,t:11,i:495},
D{l:8,t:11,i:134},
D{l:9,t:11,i:788},
D{l:140,t:11,i:438},
D{l:135,t:11,i:2004},
D{l:137,t:0,i:696},
D{l:5,t:11,i:50},
D{l:6,t:11,i:439},
D{l:7,t:11,i:780},
D{l:135,t:11,i:1040},
D{l:7,t:11,i:772},
D{l:7,t:11,i:1104},
D{l:7,t:11,i:1647},
D{l:11,t:11,i:269},
D{l:11,t:11,i:539},
D{l:11,t:11,i:607},
D{l:11,t:11,i:627},
D{l:11,t:11,i:706},
D{l:11,t:11,i:975},
D{l:12,t:11,i:248},
D{l:12,t:11,i:311},
D{l:12,t:11,i:434},
D{l:12,t:11,i:600},
D{l:12,t:11,i:622},
D{l:13,t:11,i:297},
D{l:13,t:11,i:367},
D{l:13,t:11,i:485},
D{l:14,t:11,i:69},
D{l:14,t:11,i:409},
D{l:143,t:11,i:108},
D{l:5,t:11,i:1},
D{l:6,t:11,i:81},
D{l:138,t:11,i:520},
D{l:7,t:0,i:1718},
D{l:9,t:0,i:95},
D{l:9,t:0,i:274},
D{l:10,t:0,i:279},
D{l:10,t:0,i:317},
D{l:10,t:0,i:420},
D{l:11,t:0,i:303},
D{l:11,t:0,i:808},
D{l:12,t:0,i:134},
D{l:12,t:0,i:367},
D{l:13,t:0,i:149},
D{l:13,t:0,i:347},
D{l:14,t:0,i:349},
D{l:14,t:0,i:406},
D{l:18,t:0,i:22},
D{l:18,t:0,i:89},
D{l:18,t:0,i:122},
D{l:147,t:0,i:47},
D{l:5,t:11,i:482},
D{l:8,t:11,i:98},
D{l:9,t:11,i:172},
D{l:10,t:11,i:222},
D{l:10,t:11,i:700},
D{l:10,t:11,i:822},
D{l:11,t:11,i:302},
D{l:11,t:11,i:778},
D{l:12,t:11,i:50},
D{l:12,t:11,i:127},
D{l:12,t:11,i:396},
D{l:13,t:11,i:62},
D{l:13,t:11,i:328},
D{l:14,t:11,i:122},
D{l:147,t:11,i:72},
D{l:7,t:10,i:386},
D{l:138,t:10,i:713},
D{l:6,t:10,i:7},
D{l:6,t:10,i:35},
D{l:7,t:10,i:147},
D{l:7,t:10,i:1069},
D{l:7,t:10,i:1568},
D{l:7,t:10,i:1575},
D{l:7,t:10,i:1917},
D{l:8,t:10,i:43},
D{l:8,t:10,i:208},
D{l:9,t:10,i:128},
D{l:9,t:10,i:866},
D{l:10,t:10,i:20},
D{l:11,t:10,i:981},
D{l:147,t:10,i:33},
D{l:133,t:0,i:26},
D{l:132,t:0,i:550},
D{l:5,t:11,i:2},
D{l:7,t:11,i:1494},
D{l:136,t:11,i:589},
D{l:6,t:11,i:512},
D{l:7,t:11,i:797},
D{l:8,t:11,i:253},
D{l:9,t:11,i:77},
D{l:10,t:11,i:1},
D{l:10,t:11,i:129},
D{l:10,t:11,i:225},
D{l:11,t:11,i:118},
D{l:11,t:11,i:226},
D{l:11,t:11,i:251},
D{l:11,t:11,i:430},
D{l:11,t:11,i:701},
D{l:11,t:11,i:974},
D{l:11,t:11,i:982},
D{l:12,t:11,i:64},
D{l:12,t:11,i:260},
D{l:12,t:11,i:488},
D{l:140,t:11,i:690},
D{l:7,t:10,i:893},
D{l:141,t:10,i:424},
D{l:134,t:0,i:901},
D{l:136,t:0,i:822},
D{l:4,t:0,i:902},
D{l:5,t:0,i:809},
D{l:134,t:0,i:122},
D{l:6,t:0,i:807},
D{l:134,t:0,i:1366},
D{l:7,t:0,i:262},
D{l:5,t:11,i:748},
D{l:134,t:11,i:553},
D{l:133,t:0,i:620},
D{l:4,t:0,i:34},
D{l:5,t:0,i:574},
D{l:7,t:0,i:279},
D{l:7,t:0,i:1624},
D{l:136,t:0,i:601},
D{l:9,t:0,i:170},
D{l:6,t:10,i:322},
D{l:9,t:10,i:552},
D{l:11,t:10,i:274},
D{l:13,t:10,i:209},
D{l:13,t:10,i:499},
D{l:14,t:10,i:85},
D{l:15,t:10,i:126},
D{l:145,t:10,i:70},
D{l:132,t:0,i:537},
D{l:4,t:11,i:12},
D{l:7,t:11,i:420},
D{l:7,t:11,i:522},
D{l:7,t:11,i:809},
D{l:8,t:11,i:797},
D{l:141,t:11,i:88},
D{l:133,t:0,i:332},
D{l:8,t:10,i:83},
D{l:8,t:10,i:742},
D{l:8,t:10,i:817},
D{l:9,t:10,i:28},
D{l:9,t:10,i:29},
D{l:9,t:10,i:885},
D{l:10,t:10,i:387},
D{l:11,t:10,i:633},
D{l:11,t:10,i:740},
D{l:13,t:10,i:235},
D{l:13,t:10,i:254},
D{l:15,t:10,i:143},
D{l:143,t:10,i:146},
D{l:6,t:0,i:1909},
D{l:9,t:0,i:964},
D{l:12,t:0,i:822},
D{l:12,t:0,i:854},
D{l:12,t:0,i:865},
D{l:12,t:0,i:910},
D{l:12,t:0,i:938},
D{l:15,t:0,i:169},
D{l:15,t:0,i:208},
D{l:15,t:0,i:211},
D{l:18,t:0,i:205},
D{l:18,t:0,i:206},
D{l:18,t:0,i:220},
D{l:18,t:0,i:223},
D{l:152,t:0,i:24},
D{l:140,t:10,i:49},
D{l:5,t:11,i:528},
D{l:135,t:11,i:1580},
D{l:6,t:0,i:261},
D{l:8,t:0,i:182},
D{l:139,t:0,i:943},
D{l:134,t:0,i:1721},
D{l:4,t:0,i:933},
D{l:133,t:0,i:880},
D{l:136,t:11,i:321},
D{l:5,t:11,i:266},
D{l:9,t:11,i:290},
D{l:9,t:11,i:364},
D{l:10,t:11,i:293},
D{l:11,t:11,i:606},
D{l:142,t:11,i:45},
D{l:6,t:0,i:1609},
D{l:4,t:11,i:50},
D{l:6,t:11,i:510},
D{l:6,t:11,i:594},
D{l:9,t:11,i:121},
D{l:10,t:11,i:49},
D{l:10,t:11,i:412},
D{l:139,t:11,i:834},
D{l:7,t:0,i:895},
D{l:136,t:11,i:748},
D{l:132,t:11,i:466},
D{l:4,t:10,i:110},
D{l:10,t:10,i:415},
D{l:10,t:10,i:597},
D{l:142,t:10,i:206},
D{l:133,t:0,i:812},
D{l:135,t:11,i:281},
D{l:6,t:0,i:1890},
D{l:6,t:0,i:1902},
D{l:6,t:0,i:1916},
D{l:9,t:0,i:929},
D{l:9,t:0,i:942},
D{l:9,t:0,i:975},
D{l:9,t:0,i:984},
D{l:9,t:0,i:986},
D{l:9,t:0,i:1011},
D{l:9,t:0,i:1019},
D{l:12,t:0,i:804},
D{l:12,t:0,i:851},
D{l:12,t:0,i:867},
D{l:12,t:0,i:916},
D{l:12,t:0,i:923},
D{l:15,t:0,i:194},
D{l:15,t:0,i:204},
D{l:15,t:0,i:210},
D{l:15,t:0,i:222},
D{l:15,t:0,i:223},
D{l:15,t:0,i:229},
D{l:15,t:0,i:250},
D{l:18,t:0,i:179},
D{l:18,t:0,i:186},
D{l:18,t:0,i:192},
D{l:7,t:10,i:205},
D{l:135,t:10,i:2000},
D{l:132,t:11,i:667},
D{l:135,t:0,i:778},
D{l:4,t:0,i:137},
D{l:7,t:0,i:1178},
D{l:135,t:0,i:1520},
D{l:134,t:0,i:1314},
D{l:4,t:11,i:242},
D{l:134,t:11,i:333},
D{l:6,t:0,i:1661},
D{l:7,t:0,i:1975},
D{l:7,t:0,i:2009},
D{l:135,t:0,i:2011},
D{l:134,t:0,i:1591},
D{l:4,t:10,i:283},
D{l:135,t:10,i:1194},
D{l:11,t:0,i:820},
D{l:150,t:0,i:51},
D{l:4,t:11,i:39},
D{l:5,t:11,i:36},
D{l:7,t:11,i:1843},
D{l:8,t:11,i:407},
D{l:11,t:11,i:144},
D{l:140,t:11,i:523},
D{l:134,t:10,i:1720},
D{l:4,t:11,i:510},
D{l:7,t:11,i:29},
D{l:7,t:11,i:66},
D{l:7,t:11,i:1980},
D{l:10,t:11,i:487},
D{l:10,t:11,i:809},
D{l:146,t:11,i:9},
D{l:5,t:0,i:89},
D{l:7,t:0,i:1915},
D{l:9,t:0,i:185},
D{l:9,t:0,i:235},
D{l:10,t:0,i:64},
D{l:10,t:0,i:270},
D{l:10,t:0,i:403},
D{l:10,t:0,i:469},
D{l:10,t:0,i:529},
D{l:10,t:0,i:590},
D{l:11,t:0,i:140},
D{l:11,t:0,i:860},
D{l:13,t:0,i:1},
D{l:13,t:0,i:422},
D{l:14,t:0,i:341},
D{l:14,t:0,i:364},
D{l:17,t:0,i:93},
D{l:18,t:0,i:113},
D{l:19,t:0,i:97},
D{l:147,t:0,i:113},
D{l:133,t:0,i:695},
D{l:6,t:0,i:987},
D{l:134,t:0,i:1160},
D{l:5,t:0,i:6},
D{l:6,t:0,i:183},
D{l:7,t:0,i:680},
D{l:7,t:0,i:978},
D{l:7,t:0,i:1013},
D{l:7,t:0,i:1055},
D{l:12,t:0,i:230},
D{l:13,t:0,i:172},
D{l:146,t:0,i:29},
D{l:134,t:11,i:570},
D{l:132,t:11,i:787},
D{l:134,t:11,i:518},
D{l:6,t:0,i:29},
D{l:139,t:0,i:63},
D{l:132,t:11,i:516},
D{l:136,t:11,i:821},
D{l:132,t:0,i:311},
D{l:134,t:0,i:1740},
D{l:7,t:0,i:170},
D{l:8,t:0,i:90},
D{l:8,t:0,i:177},
D{l:8,t:0,i:415},
D{l:11,t:0,i:714},
D{l:14,t:0,i:281},
D{l:136,t:10,i:735},
D{l:134,t:0,i:1961},
D{l:135,t:11,i:1405},
D{l:4,t:11,i:10},
D{l:7,t:11,i:917},
D{l:139,t:11,i:786},
D{l:5,t:10,i:132},
D{l:9,t:10,i:486},
D{l:9,t:10,i:715},
D{l:10,t:10,i:458},
D{l:11,t:10,i:373},
D{l:11,t:10,i:668},
D{l:11,t:10,i:795},
D{l:11,t:10,i:897},
D{l:12,t:10,i:272},
D{l:12,t:10,i:424},
D{l:12,t:10,i:539},
D{l:12,t:10,i:558},
D{l:14,t:10,i:245},
D{l:14,t:10,i:263},
D{l:14,t:10,i:264},
D{l:14,t:10,i:393},
D{l:142,t:10,i:403},
D{l:11,t:0,i:91},
D{l:13,t:0,i:129},
D{l:15,t:0,i:101},
D{l:145,t:0,i:125},
D{l:135,t:0,i:1132},
D{l:4,t:0,i:494},
D{l:6,t:0,i:74},
D{l:7,t:0,i:44},
D{l:7,t:0,i:407},
D{l:12,t:0,i:17},
D{l:15,t:0,i:5},
D{l:148,t:0,i:11},
D{l:133,t:10,i:379},
D{l:5,t:0,i:270},
D{l:5,t:11,i:684},
D{l:6,t:10,i:89},
D{l:6,t:10,i:400},
D{l:7,t:10,i:1569},
D{l:7,t:10,i:1623},
D{l:7,t:10,i:1850},
D{l:8,t:10,i:218},
D{l:8,t:10,i:422},
D{l:9,t:10,i:570},
D{l:138,t:10,i:626},
D{l:4,t:0,i:276},
D{l:133,t:0,i:296},
D{l:6,t:0,i:1523},
D{l:134,t:11,i:27},
D{l:6,t:10,i:387},
D{l:7,t:10,i:882},
D{l:141,t:10,i:111},
D{l:6,t:10,i:224},
D{l:7,t:10,i:877},
D{l:137,t:10,i:647},
D{l:135,t:10,i:790},
D{l:4,t:0,i:7},
D{l:5,t:0,i:90},
D{l:5,t:0,i:158},
D{l:6,t:0,i:542},
D{l:7,t:0,i:221},
D{l:7,t:0,i:1574},
D{l:9,t:0,i:490},
D{l:10,t:0,i:540},
D{l:11,t:0,i:443},
D{l:139,t:0,i:757},
D{l:7,t:0,i:588},
D{l:9,t:0,i:175},
D{l:138,t:0,i:530},
D{l:135,t:10,i:394},
D{l:142,t:11,i:23},
D{l:134,t:0,i:786},
D{l:135,t:0,i:580},
D{l:7,t:0,i:88},
D{l:136,t:0,i:627},
D{l:5,t:0,i:872},
D{l:6,t:0,i:57},
D{l:7,t:0,i:471},
D{l:9,t:0,i:447},
D{l:137,t:0,i:454},
D{l:6,t:11,i:342},
D{l:6,t:11,i:496},
D{l:8,t:11,i:275},
D{l:137,t:11,i:206},
D{l:4,t:11,i:909},
D{l:133,t:11,i:940},
D{l:6,t:0,i:735},
D{l:132,t:11,i:891},
D{l:8,t:0,i:845},
D{l:8,t:0,i:916},
D{l:135,t:10,i:1409},
D{l:5,t:0,i:31},
D{l:134,t:0,i:614},
D{l:11,t:0,i:458},
D{l:12,t:0,i:15},
D{l:140,t:0,i:432},
D{l:8,t:0,i:330},
D{l:140,t:0,i:477},
D{l:4,t:0,i:530},
D{l:5,t:0,i:521},
D{l:7,t:0,i:1200},
D{l:10,t:0,i:460},
D{l:132,t:11,i:687},
D{l:6,t:0,i:424},
D{l:135,t:0,i:1866},
D{l:9,t:0,i:569},
D{l:12,t:0,i:12},
D{l:12,t:0,i:81},
D{l:12,t:0,i:319},
D{l:13,t:0,i:69},
D{l:14,t:0,i:259},
D{l:16,t:0,i:87},
D{l:17,t:0,i:1},
D{l:17,t:0,i:21},
D{l:17,t:0,i:24},
D{l:18,t:0,i:15},
D{l:18,t:0,i:56},
D{l:18,t:0,i:59},
D{l:18,t:0,i:127},
D{l:18,t:0,i:154},
D{l:19,t:0,i:19},
D{l:148,t:0,i:31},
D{l:7,t:0,i:1302},
D{l:136,t:10,i:38},
D{l:134,t:11,i:253},
D{l:5,t:10,i:261},
D{l:7,t:10,i:78},
D{l:7,t:10,i:199},
D{l:8,t:10,i:815},
D{l:9,t:10,i:126},
D{l:138,t:10,i:342},
D{l:5,t:0,i:595},
D{l:135,t:0,i:1863},
D{l:6,t:11,i:41},
D{l:141,t:11,i:160},
D{l:5,t:0,i:13},
D{l:134,t:0,i:142},
D{l:6,t:0,i:97},
D{l:7,t:0,i:116},
D{l:8,t:0,i:322},
D{l:8,t:0,i:755},
D{l:9,t:0,i:548},
D{l:10,t:0,i:714},
D{l:11,t:0,i:884},
D{l:13,t:0,i:324},
D{l:7,t:11,i:1304},
D{l:138,t:11,i:477},
D{l:132,t:10,i:628},
D{l:134,t:11,i:1718},
D{l:7,t:10,i:266},
D{l:136,t:10,i:804},
D{l:135,t:10,i:208},
D{l:7,t:0,i:1021},
D{l:6,t:10,i:79},
D{l:135,t:10,i:1519},
D{l:7,t:0,i:1472},
D{l:135,t:0,i:1554},
D{l:6,t:11,i:362},
D{l:146,t:11,i:51},
D{l:7,t:0,i:1071},
D{l:7,t:0,i:1541},
D{l:7,t:0,i:1767},
D{l:7,t:0,i:1806},
D{l:11,t:0,i:162},
D{l:11,t:0,i:242},
D{l:11,t:0,i:452},
D{l:12,t:0,i:605},
D{l:15,t:0,i:26},
D{l:144,t:0,i:44},
D{l:136,t:10,i:741},
D{l:133,t:11,i:115},
D{l:145,t:0,i:115},
D{l:134,t:10,i:376},
D{l:6,t:0,i:1406},
D{l:134,t:0,i:1543},
D{l:5,t:11,i:193},
D{l:12,t:11,i:178},
D{l:13,t:11,i:130},
D{l:145,t:11,i:84},
D{l:135,t:0,i:1111},
D{l:8,t:0,i:1},
D{l:9,t:0,i:650},
D{l:10,t:0,i:326},
D{l:5,t:11,i:705},
D{l:137,t:11,i:606},
D{l:5,t:0,i:488},
D{l:6,t:0,i:527},
D{l:7,t:0,i:489},
D{l:7,t:0,i:1636},
D{l:8,t:0,i:121},
D{l:8,t:0,i:144},
D{l:8,t:0,i:359},
D{l:9,t:0,i:193},
D{l:9,t:0,i:241},
D{l:9,t:0,i:336},
D{l:9,t:0,i:882},
D{l:11,t:0,i:266},
D{l:11,t:0,i:372},
D{l:11,t:0,i:944},
D{l:12,t:0,i:401},
D{l:140,t:0,i:641},
D{l:135,t:11,i:174},
D{l:6,t:0,i:267},
D{l:7,t:10,i:244},
D{l:7,t:10,i:632},
D{l:7,t:10,i:1609},
D{l:8,t:10,i:178},
D{l:8,t:10,i:638},
D{l:141,t:10,i:58},
D{l:134,t:0,i:1983},
D{l:134,t:0,i:1155},
D{l:134,t:0,i:1575},
D{l:134,t:0,i:1438},
D{l:9,t:0,i:31},
D{l:10,t:0,i:244},
D{l:10,t:0,i:699},
D{l:12,t:0,i:149},
D{l:141,t:0,i:497},
D{l:133,t:0,i:377},
D{l:4,t:11,i:122},
D{l:5,t:11,i:796},
D{l:5,t:11,i:952},
D{l:6,t:11,i:1660},
D{l:6,t:11,i:1671},
D{l:8,t:11,i:567},
D{l:9,t:11,i:687},
D{l:9,t:11,i:742},
D{l:10,t:11,i:686},
D{l:11,t:11,i:356},
D{l:11,t:11,i:682},
D{l:140,t:11,i:281},
D{l:145,t:0,i:101},
D{l:11,t:11,i:0},
D{l:144,t:11,i:78},
D{l:5,t:11,i:179},
D{l:5,t:10,i:791},
D{l:7,t:11,i:1095},
D{l:135,t:11,i:1213},
D{l:8,t:11,i:372},
D{l:9,t:11,i:122},
D{l:138,t:11,i:175},
D{l:7,t:10,i:686},
D{l:8,t:10,i:33},
D{l:8,t:10,i:238},
D{l:10,t:10,i:616},
D{l:11,t:10,i:467},
D{l:11,t:10,i:881},
D{l:13,t:10,i:217},
D{l:13,t:10,i:253},
D{l:142,t:10,i:268},
D{l:9,t:0,i:476},
D{l:4,t:11,i:66},
D{l:7,t:11,i:722},
D{l:135,t:11,i:904},
D{l:7,t:11,i:352},
D{l:137,t:11,i:684},
D{l:135,t:0,i:2023},
D{l:135,t:0,i:1836},
D{l:132,t:10,i:447},
D{l:5,t:0,i:843},
D{l:144,t:0,i:35},
D{l:137,t:11,i:779},
D{l:141,t:11,i:35},
D{l:4,t:10,i:128},
D{l:5,t:10,i:415},
D{l:6,t:10,i:462},
D{l:7,t:10,i:294},
D{l:7,t:10,i:578},
D{l:10,t:10,i:710},
D{l:139,t:10,i:86},
D{l:132,t:0,i:554},
D{l:133,t:0,i:536},
D{l:136,t:10,i:587},
D{l:5,t:0,i:207},
D{l:9,t:0,i:79},
D{l:11,t:0,i:625},
D{l:145,t:0,i:7},
D{l:7,t:0,i:1371},
D{l:6,t:10,i:427},
D{l:138,t:10,i:692},
D{l:4,t:0,i:424},
D{l:4,t:10,i:195},
D{l:135,t:10,i:802},
D{l:8,t:0,i:785},
D{l:133,t:11,i:564},
D{l:135,t:0,i:336},
D{l:4,t:0,i:896},
D{l:6,t:0,i:1777},
D{l:134,t:11,i:556},
D{l:137,t:11,i:103},
D{l:134,t:10,i:1683},
D{l:7,t:11,i:544},
D{l:8,t:11,i:719},
D{l:138,t:11,i:61},
D{l:138,t:10,i:472},
D{l:4,t:11,i:5},
D{l:5,t:11,i:498},
D{l:136,t:11,i:637},
D{l:7,t:0,i:750},
D{l:9,t:0,i:223},
D{l:11,t:0,i:27},
D{l:11,t:0,i:466},
D{l:12,t:0,i:624},
D{l:14,t:0,i:265},
D{l:146,t:0,i:61},
D{l:12,t:0,i:238},
D{l:18,t:0,i:155},
D{l:12,t:11,i:238},
D{l:146,t:11,i:155},
D{l:151,t:10,i:28},
D{l:133,t:11,i:927},
D{l:12,t:0,i:383},
D{l:5,t:10,i:3},
D{l:8,t:10,i:578},
D{l:9,t:10,i:118},
D{l:10,t:10,i:705},
D{l:141,t:10,i:279},
D{l:4,t:11,i:893},
D{l:5,t:11,i:780},
D{l:133,t:11,i:893},
D{l:4,t:0,i:603},
D{l:133,t:0,i:661},
D{l:4,t:0,i:11},
D{l:6,t:0,i:128},
D{l:7,t:0,i:231},
D{l:7,t:0,i:1533},
D{l:10,t:0,i:725},
D{l:5,t:10,i:229},
D{l:5,t:11,i:238},
D{l:135,t:11,i:1350},
D{l:8,t:10,i:102},
D{l:10,t:10,i:578},
D{l:10,t:10,i:672},
D{l:12,t:10,i:496},
D{l:13,t:10,i:408},
D{l:14,t:10,i:121},
D{l:145,t:10,i:106},
D{l:132,t:0,i:476},
D{l:134,t:0,i:1552},
D{l:134,t:11,i:1729},
D{l:8,t:10,i:115},
D{l:8,t:10,i:350},
D{l:9,t:10,i:489},
D{l:10,t:10,i:128},
D{l:11,t:10,i:306},
D{l:12,t:10,i:373},
D{l:14,t:10,i:30},
D{l:17,t:10,i:79},
D{l:19,t:10,i:80},
D{l:150,t:10,i:55},
D{l:135,t:0,i:1807},
D{l:4,t:0,i:680},
D{l:4,t:11,i:60},
D{l:7,t:11,i:760},
D{l:7,t:11,i:1800},
D{l:8,t:11,i:314},
D{l:9,t:11,i:700},
D{l:139,t:11,i:487},
D{l:4,t:10,i:230},
D{l:5,t:10,i:702},
D{l:148,t:11,i:94},
D{l:132,t:11,i:228},
D{l:139,t:0,i:435},
D{l:9,t:0,i:20},
D{l:10,t:0,i:324},
D{l:10,t:0,i:807},
D{l:139,t:0,i:488},
D{l:6,t:10,i:1728},
D{l:136,t:11,i:419},
D{l:4,t:10,i:484},
D{l:18,t:10,i:26},
D{l:19,t:10,i:42},
D{l:20,t:10,i:43},
D{l:21,t:10,i:0},
D{l:23,t:10,i:27},
D{l:152,t:10,i:14},
D{l:135,t:0,i:1431},
D{l:133,t:11,i:828},
D{l:5,t:0,i:112},
D{l:6,t:0,i:103},
D{l:6,t:0,i:150},
D{l:7,t:0,i:1303},
D{l:9,t:0,i:292},
D{l:10,t:0,i:481},
D{l:20,t:0,i:13},
D{l:7,t:11,i:176},
D{l:7,t:11,i:178},
D{l:7,t:11,i:1110},
D{l:10,t:11,i:481},
D{l:148,t:11,i:13},
D{l:138,t:0,i:356},
D{l:4,t:11,i:51},
D{l:5,t:11,i:39},
D{l:6,t:11,i:4},
D{l:7,t:11,i:591},
D{l:7,t:11,i:849},
D{l:7,t:11,i:951},
D{l:7,t:11,i:1129},
D{l:7,t:11,i:1613},
D{l:7,t:11,i:1760},
D{l:7,t:11,i:1988},
D{l:9,t:11,i:434},
D{l:10,t:11,i:754},
D{l:11,t:11,i:25},
D{l:11,t:11,i:37},
D{l:139,t:11,i:414},
D{l:6,t:0,i:1963},
D{l:134,t:0,i:2000},
D{l:132,t:10,i:633},
D{l:6,t:0,i:1244},
D{l:133,t:11,i:902},
D{l:135,t:11,i:928},
D{l:140,t:0,i:18},
D{l:138,t:0,i:204},
D{l:135,t:11,i:1173},
D{l:134,t:0,i:867},
D{l:4,t:0,i:708},
D{l:8,t:0,i:15},
D{l:9,t:0,i:50},
D{l:9,t:0,i:386},
D{l:11,t:0,i:18},
D{l:11,t:0,i:529},
D{l:140,t:0,i:228},
D{l:134,t:11,i:270},
D{l:4,t:0,i:563},
D{l:7,t:0,i:109},
D{l:7,t:0,i:592},
D{l:7,t:0,i:637},
D{l:7,t:0,i:770},
D{l:8,t:0,i:463},
D{l:9,t:0,i:60},
D{l:9,t:0,i:335},
D{l:9,t:0,i:904},
D{l:10,t:0,i:73},
D{l:11,t:0,i:434},
D{l:12,t:0,i:585},
D{l:13,t:0,i:331},
D{l:18,t:0,i:110},
D{l:148,t:0,i:60},
D{l:132,t:0,i:502},
D{l:14,t:11,i:359},
D{l:19,t:11,i:52},
D{l:148,t:11,i:47},
D{l:6,t:11,i:377},
D{l:7,t:11,i:1025},
D{l:9,t:11,i:613},
D{l:145,t:11,i:104},
D{l:6,t:0,i:347},
D{l:10,t:0,i:161},
D{l:5,t:10,i:70},
D{l:5,t:10,i:622},
D{l:6,t:10,i:334},
D{l:7,t:10,i:1032},
D{l:9,t:10,i:171},
D{l:11,t:10,i:26},
D{l:11,t:10,i:213},
D{l:11,t:10,i:637},
D{l:11,t:10,i:707},
D{l:12,t:10,i:202},
D{l:12,t:10,i:380},
D{l:13,t:10,i:226},
D{l:13,t:10,i:355},
D{l:14,t:10,i:222},
D{l:145,t:10,i:42},
D{l:132,t:11,i:416},
D{l:4,t:0,i:33},
D{l:5,t:0,i:102},
D{l:6,t:0,i:284},
D{l:7,t:0,i:1079},
D{l:7,t:0,i:1423},
D{l:7,t:0,i:1702},
D{l:8,t:0,i:470},
D{l:9,t:0,i:554},
D{l:9,t:0,i:723},
D{l:11,t:0,i:333},
D{l:142,t:11,i:372},
D{l:5,t:11,i:152},
D{l:5,t:11,i:197},
D{l:7,t:11,i:340},
D{l:7,t:11,i:867},
D{l:10,t:11,i:548},
D{l:10,t:11,i:581},
D{l:11,t:11,i:6},
D{l:12,t:11,i:3},
D{l:12,t:11,i:19},
D{l:14,t:11,i:110},
D{l:142,t:11,i:289},
D{l:7,t:0,i:246},
D{l:135,t:0,i:840},
D{l:6,t:0,i:10},
D{l:8,t:0,i:571},
D{l:9,t:0,i:739},
D{l:143,t:0,i:91},
D{l:6,t:0,i:465},
D{l:7,t:0,i:1465},
D{l:4,t:10,i:23},
D{l:4,t:10,i:141},
D{l:5,t:10,i:313},
D{l:5,t:10,i:1014},
D{l:6,t:10,i:50},
D{l:7,t:10,i:142},
D{l:7,t:10,i:559},
D{l:8,t:10,i:640},
D{l:9,t:10,i:460},
D{l:9,t:10,i:783},
D{l:11,t:10,i:741},
D{l:12,t:10,i:183},
D{l:141,t:10,i:488},
D{l:133,t:0,i:626},
D{l:136,t:0,i:614},
D{l:138,t:0,i:237},
D{l:7,t:11,i:34},
D{l:7,t:11,i:190},
D{l:8,t:11,i:28},
D{l:8,t:11,i:141},
D{l:8,t:11,i:444},
D{l:8,t:11,i:811},
D{l:9,t:11,i:468},
D{l:11,t:11,i:334},
D{l:12,t:11,i:24},
D{l:12,t:11,i:386},
D{l:140,t:11,i:576},
D{l:133,t:11,i:757},
D{l:5,t:0,i:18},
D{l:6,t:0,i:526},
D{l:13,t:0,i:24},
D{l:13,t:0,i:110},
D{l:19,t:0,i:5},
D{l:147,t:0,i:44},
D{l:6,t:0,i:506},
D{l:134,t:11,i:506},
D{l:135,t:11,i:1553},
D{l:4,t:0,i:309},
D{l:5,t:0,i:462},
D{l:7,t:0,i:970},
D{l:7,t:0,i:1097},
D{l:22,t:0,i:30},
D{l:22,t:0,i:33},
D{l:7,t:11,i:1385},
D{l:11,t:11,i:582},
D{l:11,t:11,i:650},
D{l:11,t:11,i:901},
D{l:11,t:11,i:949},
D{l:12,t:11,i:232},
D{l:12,t:11,i:236},
D{l:13,t:11,i:413},
D{l:13,t:11,i:501},
D{l:146,t:11,i:116},
D{l:9,t:0,i:140},
D{l:5,t:10,i:222},
D{l:138,t:10,i:534},
D{l:6,t:0,i:1056},
D{l:137,t:10,i:906},
D{l:134,t:0,i:1704},
D{l:138,t:10,i:503},
D{l:134,t:0,i:1036},
D{l:5,t:10,i:154},
D{l:7,t:10,i:1491},
D{l:10,t:10,i:379},
D{l:138,t:10,i:485},
D{l:4,t:11,i:383},
D{l:133,t:10,i:716},
D{l:134,t:0,i:1315},
D{l:5,t:0,i:86},
D{l:7,t:0,i:743},
D{l:9,t:0,i:85},
D{l:10,t:0,i:281},
D{l:10,t:0,i:432},
D{l:11,t:0,i:825},
D{l:12,t:0,i:251},
D{l:13,t:0,i:118},
D{l:142,t:0,i:378},
D{l:8,t:0,i:264},
D{l:4,t:10,i:91},
D{l:5,t:10,i:388},
D{l:5,t:10,i:845},
D{l:6,t:10,i:206},
D{l:6,t:10,i:252},
D{l:6,t:10,i:365},
D{l:7,t:10,i:136},
D{l:7,t:10,i:531},
D{l:136,t:10,i:621},
D{l:5,t:0,i:524},
D{l:133,t:0,i:744},
D{l:5,t:11,i:277},
D{l:141,t:11,i:247},
D{l:132,t:11,i:435},
D{l:10,t:0,i:107},
D{l:140,t:0,i:436},
D{l:132,t:0,i:927},
D{l:10,t:0,i:123},
D{l:12,t:0,i:670},
D{l:146,t:0,i:94},
D{l:7,t:0,i:1149},
D{l:9,t:0,i:156},
D{l:138,t:0,i:957},
D{l:5,t:11,i:265},
D{l:6,t:11,i:212},
D{l:135,t:11,i:28},
D{l:133,t:0,i:778},
D{l:133,t:0,i:502},
D{l:8,t:0,i:196},
D{l:10,t:0,i:283},
D{l:139,t:0,i:406},
D{l:135,t:10,i:576},
D{l:136,t:11,i:535},
D{l:134,t:0,i:1312},
D{l:5,t:10,i:771},
D{l:5,t:10,i:863},
D{l:5,t:10,i:898},
D{l:6,t:10,i:1632},
D{l:6,t:10,i:1644},
D{l:134,t:10,i:1780},
D{l:5,t:0,i:855},
D{l:5,t:10,i:331},
D{l:135,t:11,i:1487},
D{l:132,t:11,i:702},
D{l:5,t:11,i:808},
D{l:135,t:11,i:2045},
D{l:7,t:0,i:1400},
D{l:9,t:0,i:446},
D{l:138,t:0,i:45},
D{l:140,t:10,i:632},
D{l:132,t:0,i:1003},
D{l:5,t:11,i:166},
D{l:8,t:11,i:739},
D{l:140,t:11,i:511},
D{l:5,t:10,i:107},
D{l:7,t:10,i:201},
D{l:136,t:10,i:518},
D{l:6,t:10,i:446},
D{l:135,t:10,i:1817},
D{l:134,t:0,i:1532},
D{l:134,t:0,i:1097},
D{l:4,t:11,i:119},
D{l:5,t:11,i:170},
D{l:5,t:11,i:447},
D{l:7,t:11,i:1708},
D{l:7,t:11,i:1889},
D{l:9,t:11,i:357},
D{l:9,t:11,i:719},
D{l:12,t:11,i:486},
D{l:140,t:11,i:596},
D{l:9,t:10,i:851},
D{l:141,t:10,i:510},
D{l:7,t:0,i:612},
D{l:8,t:0,i:545},
D{l:8,t:0,i:568},
D{l:8,t:0,i:642},
D{l:9,t:0,i:717},
D{l:10,t:0,i:541},
D{l:10,t:0,i:763},
D{l:11,t:0,i:449},
D{l:12,t:0,i:489},
D{l:13,t:0,i:153},
D{l:13,t:0,i:296},
D{l:14,t:0,i:138},
D{l:14,t:0,i:392},
D{l:15,t:0,i:50},
D{l:16,t:0,i:6},
D{l:16,t:0,i:12},
D{l:20,t:0,i:9},
D{l:132,t:10,i:504},
D{l:4,t:11,i:450},
D{l:135,t:11,i:1158},
D{l:11,t:0,i:54},
D{l:13,t:0,i:173},
D{l:13,t:0,i:294},
D{l:5,t:10,i:883},
D{l:5,t:10,i:975},
D{l:8,t:10,i:392},
D{l:148,t:10,i:7},
D{l:13,t:0,i:455},
D{l:15,t:0,i:99},
D{l:15,t:0,i:129},
D{l:144,t:0,i:68},
D{l:135,t:0,i:172},
D{l:132,t:11,i:754},
D{l:5,t:10,i:922},
D{l:134,t:10,i:1707},
D{l:134,t:0,i:1029},
D{l:17,t:11,i:39},
D{l:148,t:11,i:36},
D{l:4,t:0,i:568},
D{l:5,t:10,i:993},
D{l:7,t:10,i:515},
D{l:137,t:10,i:91},
D{l:132,t:0,i:732},
D{l:10,t:0,i:617},
D{l:138,t:11,i:617},
D{l:134,t:0,i:974},
D{l:7,t:0,i:989},
D{l:10,t:0,i:377},
D{l:12,t:0,i:363},
D{l:13,t:0,i:68},
D{l:13,t:0,i:94},
D{l:14,t:0,i:108},
D{l:142,t:0,i:306},
D{l:136,t:0,i:733},
D{l:132,t:0,i:428},
D{l:7,t:0,i:1789},
D{l:135,t:11,i:1062},
D{l:7,t:0,i:2015},
D{l:140,t:0,i:665},
D{l:135,t:10,i:1433},
D{l:5,t:0,i:287},
D{l:7,t:10,i:921},
D{l:8,t:10,i:580},
D{l:8,t:10,i:593},
D{l:8,t:10,i:630},
D{l:138,t:10,i:28},
D{l:138,t:0,i:806},
D{l:4,t:10,i:911},
D{l:5,t:10,i:867},
D{l:5,t:10,i:1013},
D{l:7,t:10,i:2034},
D{l:8,t:10,i:798},
D{l:136,t:10,i:813},
D{l:134,t:0,i:1539},
D{l:8,t:11,i:523},
D{l:150,t:11,i:34},
D{l:135,t:11,i:740},
D{l:7,t:11,i:238},
D{l:7,t:11,i:2033},
D{l:8,t:11,i:120},
D{l:8,t:11,i:188},
D{l:8,t:11,i:659},
D{l:9,t:11,i:598},
D{l:10,t:11,i:466},
D{l:12,t:11,i:342},
D{l:12,t:11,i:588},
D{l:13,t:11,i:503},
D{l:14,t:11,i:246},
D{l:143,t:11,i:92},
D{l:7,t:0,i:1563},
D{l:141,t:0,i:182},
D{l:5,t:10,i:135},
D{l:6,t:10,i:519},
D{l:7,t:10,i:1722},
D{l:10,t:10,i:271},
D{l:11,t:10,i:261},
D{l:145,t:10,i:54},
D{l:14,t:10,i:338},
D{l:148,t:10,i:81},
D{l:7,t:0,i:484},
D{l:4,t:10,i:300},
D{l:133,t:10,i:436},
D{l:145,t:11,i:114},
D{l:6,t:0,i:1623},
D{l:134,t:0,i:1681},
D{l:133,t:11,i:640},
D{l:4,t:11,i:201},
D{l:7,t:11,i:1744},
D{l:8,t:11,i:602},
D{l:11,t:11,i:247},
D{l:11,t:11,i:826},
D{l:145,t:11,i:65},
D{l:8,t:11,i:164},
D{l:146,t:11,i:62},
D{l:6,t:0,i:1833},
D{l:6,t:0,i:1861},
D{l:136,t:0,i:878},
D{l:134,t:0,i:1569},
D{l:8,t:10,i:357},
D{l:10,t:10,i:745},
D{l:14,t:10,i:426},
D{l:17,t:10,i:94},
D{l:147,t:10,i:57},
D{l:12,t:0,i:93},
D{l:12,t:0,i:501},
D{l:13,t:0,i:362},
D{l:14,t:0,i:151},
D{l:15,t:0,i:40},
D{l:15,t:0,i:59},
D{l:16,t:0,i:46},
D{l:17,t:0,i:25},
D{l:18,t:0,i:14},
D{l:18,t:0,i:134},
D{l:19,t:0,i:25},
D{l:19,t:0,i:69},
D{l:20,t:0,i:16},
D{l:20,t:0,i:19},
D{l:20,t:0,i:66},
D{l:21,t:0,i:23},
D{l:21,t:0,i:25},
D{l:150,t:0,i:42},
D{l:6,t:0,i:1748},
D{l:8,t:0,i:715},
D{l:9,t:0,i:802},
D{l:10,t:0,i:46},
D{l:10,t:0,i:819},
D{l:13,t:0,i:308},
D{l:14,t:0,i:351},
D{l:14,t:0,i:363},
D{l:146,t:0,i:67},
D{l:132,t:0,i:994},
D{l:4,t:0,i:63},
D{l:133,t:0,i:347},
D{l:132,t:0,i:591},
D{l:133,t:0,i:749},
D{l:7,t:11,i:1577},
D{l:10,t:11,i:304},
D{l:10,t:11,i:549},
D{l:11,t:11,i:424},
D{l:12,t:11,i:365},
D{l:13,t:11,i:220},
D{l:13,t:11,i:240},
D{l:142,t:11,i:33},
D{l:133,t:0,i:366},
D{l:7,t:0,i:557},
D{l:12,t:0,i:547},
D{l:14,t:0,i:86},
D{l:133,t:10,i:387},
D{l:135,t:0,i:1747},
D{l:132,t:11,i:907},
D{l:5,t:11,i:100},
D{l:10,t:11,i:329},
D{l:12,t:11,i:416},
D{l:149,t:11,i:29},
D{l:4,t:10,i:6},
D{l:5,t:10,i:708},
D{l:136,t:10,i:75},
D{l:7,t:10,i:1351},
D{l:9,t:10,i:581},
D{l:10,t:10,i:639},
D{l:11,t:10,i:453},
D{l:140,t:10,i:584},
D{l:7,t:0,i:89},
D{l:132,t:10,i:303},
D{l:138,t:10,i:772},
D{l:132,t:11,i:176},
D{l:5,t:11,i:636},
D{l:5,t:11,i:998},
D{l:8,t:11,i:26},
D{l:137,t:11,i:358},
D{l:7,t:11,i:9},
D{l:7,t:11,i:1508},
D{l:9,t:11,i:317},
D{l:10,t:11,i:210},
D{l:10,t:11,i:292},
D{l:10,t:11,i:533},
D{l:11,t:11,i:555},
D{l:12,t:11,i:526},
D{l:12,t:11,i:607},
D{l:13,t:11,i:263},
D{l:13,t:11,i:459},
D{l:142,t:11,i:271},
D{l:134,t:0,i:1463},
D{l:6,t:0,i:772},
D{l:6,t:0,i:1137},
D{l:139,t:11,i:595},
D{l:7,t:0,i:977},
D{l:139,t:11,i:66},
D{l:138,t:0,i:893},
D{l:20,t:0,i:48},
D{l:148,t:11,i:48},
D{l:5,t:0,i:824},
D{l:133,t:0,i:941},
D{l:134,t:11,i:295},
D{l:7,t:0,i:1543},
D{l:7,t:0,i:1785},
D{l:10,t:0,i:690},
D{l:4,t:10,i:106},
D{l:139,t:10,i:717},
D{l:7,t:0,i:440},
D{l:8,t:0,i:230},
D{l:139,t:0,i:106},
D{l:5,t:10,i:890},
D{l:133,t:10,i:988},
D{l:6,t:10,i:626},
D{l:142,t:10,i:431},
D{l:10,t:11,i:127},
D{l:141,t:11,i:27},
D{l:17,t:0,i:32},
D{l:10,t:10,i:706},
D{l:150,t:10,i:44},
D{l:132,t:0,i:216},
D{l:137,t:0,i:332},
D{l:4,t:10,i:698},
D{l:136,t:11,i:119},
D{l:139,t:11,i:267},
D{l:138,t:10,i:17},
D{l:11,t:11,i:526},
D{l:11,t:11,i:939},
D{l:141,t:11,i:290},
D{l:7,t:11,i:1167},
D{l:11,t:11,i:934},
D{l:13,t:11,i:391},
D{l:145,t:11,i:76},
D{l:139,t:11,i:39},
D{l:134,t:10,i:84},
D{l:4,t:0,i:914},
D{l:5,t:0,i:800},
D{l:133,t:0,i:852},
D{l:10,t:0,i:416},
D{l:141,t:0,i:115},
D{l:7,t:0,i:564},
D{l:142,t:0,i:168},
D{l:4,t:0,i:918},
D{l:133,t:0,i:876},
D{l:134,t:0,i:1764},
D{l:152,t:0,i:3},
D{l:4,t:0,i:92},
D{l:5,t:0,i:274},
D{l:7,t:11,i:126},
D{l:136,t:11,i:84},
D{l:140,t:10,i:498},
D{l:136,t:11,i:790},
D{l:8,t:0,i:501},
D{l:5,t:10,i:986},
D{l:6,t:10,i:130},
D{l:7,t:10,i:1582},
D{l:8,t:10,i:458},
D{l:10,t:10,i:101},
D{l:10,t:10,i:318},
D{l:138,t:10,i:823},
D{l:6,t:11,i:64},
D{l:12,t:11,i:377},
D{l:141,t:11,i:309},
D{l:5,t:0,i:743},
D{l:138,t:0,i:851},
D{l:4,t:0,i:49},
D{l:7,t:0,i:280},
D{l:135,t:0,i:1633},
D{l:134,t:0,i:879},
D{l:136,t:0,i:47},
D{l:7,t:10,i:1644},
D{l:137,t:10,i:129},
D{l:132,t:0,i:865},
D{l:134,t:0,i:1202},
D{l:9,t:11,i:34},
D{l:139,t:11,i:484},
D{l:135,t:10,i:997},
D{l:5,t:0,i:272},
D{l:5,t:0,i:908},
D{l:5,t:0,i:942},
D{l:8,t:0,i:197},
D{l:9,t:0,i:47},
D{l:11,t:0,i:538},
D{l:139,t:0,i:742},
D{l:6,t:11,i:1700},
D{l:7,t:11,i:26},
D{l:7,t:11,i:293},
D{l:7,t:11,i:382},
D{l:7,t:11,i:1026},
D{l:7,t:11,i:1087},
D{l:7,t:11,i:2027},
D{l:8,t:11,i:24},
D{l:8,t:11,i:114},
D{l:8,t:11,i:252},
D{l:8,t:11,i:727},
D{l:8,t:11,i:729},
D{l:9,t:11,i:30},
D{l:9,t:11,i:199},
D{l:9,t:11,i:231},
D{l:9,t:11,i:251},
D{l:9,t:11,i:334},
D{l:9,t:11,i:361},
D{l:9,t:11,i:488},
D{l:9,t:11,i:712},
D{l:10,t:11,i:55},
D{l:10,t:11,i:60},
D{l:10,t:11,i:232},
D{l:10,t:11,i:332},
D{l:10,t:11,i:384},
D{l:10,t:11,i:396},
D{l:10,t:11,i:504},
D{l:10,t:11,i:542},
D{l:10,t:11,i:652},
D{l:11,t:11,i:20},
D{l:11,t:11,i:48},
D{l:11,t:11,i:207},
D{l:11,t:11,i:291},
D{l:11,t:11,i:298},
D{l:11,t:11,i:342},
D{l:11,t:11,i:365},
D{l:11,t:11,i:394},
D{l:11,t:11,i:620},
D{l:11,t:11,i:705},
D{l:11,t:11,i:1017},
D{l:12,t:11,i:123},
D{l:12,t:11,i:340},
D{l:12,t:11,i:406},
D{l:12,t:11,i:643},
D{l:13,t:11,i:61},
D{l:13,t:11,i:269},
D{l:13,t:11,i:311},
D{l:13,t:11,i:319},
D{l:13,t:11,i:486},
D{l:14,t:11,i:234},
D{l:15,t:11,i:62},
D{l:15,t:11,i:85},
D{l:16,t:11,i:71},
D{l:18,t:11,i:119},
D{l:148,t:11,i:105},
D{l:6,t:0,i:1455},
D{l:150,t:11,i:37},
D{l:135,t:10,i:1927},
D{l:135,t:0,i:1911},
D{l:137,t:0,i:891},
D{l:7,t:10,i:1756},
D{l:137,t:10,i:98},
D{l:7,t:10,i:1046},
D{l:139,t:10,i:160},
D{l:132,t:0,i:761},
D{l:6,t:11,i:379},
D{l:7,t:11,i:270},
D{l:7,t:11,i:1116},
D{l:8,t:11,i:176},
D{l:8,t:11,i:183},
D{l:9,t:11,i:432},
D{l:9,t:11,i:661},
D{l:12,t:11,i:247},
D{l:12,t:11,i:617},
D{l:146,t:11,i:125},
D{l:6,t:10,i:45},
D{l:7,t:10,i:433},
D{l:8,t:10,i:129},
D{l:9,t:10,i:21},
D{l:10,t:10,i:392},
D{l:11,t:10,i:79},
D{l:12,t:10,i:499},
D{l:13,t:10,i:199},
D{l:141,t:10,i:451},
D{l:4,t:0,i:407},
D{l:5,t:11,i:792},
D{l:133,t:11,i:900},
D{l:132,t:0,i:560},
D{l:135,t:0,i:183},
D{l:13,t:0,i:490},
D{l:7,t:10,i:558},
D{l:136,t:10,i:353},
D{l:4,t:0,i:475},
D{l:6,t:0,i:731},
D{l:11,t:0,i:35},
D{l:13,t:0,i:71},
D{l:13,t:0,i:177},
D{l:14,t:0,i:422},
D{l:133,t:10,i:785},
D{l:8,t:10,i:81},
D{l:9,t:10,i:189},
D{l:9,t:10,i:201},
D{l:11,t:10,i:478},
D{l:11,t:10,i:712},
D{l:141,t:10,i:338},
D{l:4,t:0,i:418},
D{l:4,t:0,i:819},
D{l:133,t:10,i:353},
D{l:151,t:10,i:26},
D{l:4,t:11,i:901},
D{l:133,t:11,i:776},
D{l:132,t:0,i:575},
D{l:7,t:0,i:818},
D{l:16,t:0,i:92},
D{l:17,t:0,i:14},
D{l:17,t:0,i:45},
D{l:18,t:0,i:75},
D{l:148,t:0,i:18},
D{l:6,t:0,i:222},
D{l:7,t:0,i:636},
D{l:7,t:0,i:1620},
D{l:8,t:0,i:409},
D{l:9,t:0,i:693},
D{l:139,t:0,i:77},
D{l:6,t:10,i:25},
D{l:7,t:10,i:855},
D{l:7,t:10,i:1258},
D{l:144,t:10,i:32},
D{l:6,t:0,i:1880},
D{l:6,t:0,i:1887},
D{l:6,t:0,i:1918},
D{l:6,t:0,i:1924},
D{l:9,t:0,i:967},
D{l:9,t:0,i:995},
D{l:9,t:0,i:1015},
D{l:12,t:0,i:826},
D{l:12,t:0,i:849},
D{l:12,t:0,i:857},
D{l:12,t:0,i:860},
D{l:12,t:0,i:886},
D{l:12,t:0,i:932},
D{l:18,t:0,i:228},
D{l:18,t:0,i:231},
D{l:146,t:0,i:240},
D{l:134,t:0,i:633},
D{l:134,t:0,i:1308},
D{l:4,t:11,i:37},
D{l:5,t:11,i:334},
D{l:135,t:11,i:1253},
D{l:10,t:0,i:86},
D{l:4,t:10,i:4},
D{l:7,t:10,i:1118},
D{l:7,t:10,i:1320},
D{l:7,t:10,i:1706},
D{l:8,t:10,i:277},
D{l:9,t:10,i:622},
D{l:11,t:10,i:724},
D{l:12,t:10,i:350},
D{l:12,t:10,i:397},
D{l:13,t:10,i:28},
D{l:13,t:10,i:159},
D{l:15,t:10,i:89},
D{l:18,t:10,i:5},
D{l:19,t:10,i:9},
D{l:20,t:10,i:34},
D{l:150,t:10,i:47},
D{l:132,t:11,i:508},
D{l:137,t:11,i:448},
D{l:12,t:11,i:107},
D{l:146,t:11,i:31},
D{l:132,t:0,i:817},
D{l:134,t:0,i:663},
D{l:133,t:0,i:882},
D{l:134,t:0,i:914},
D{l:132,t:11,i:540},
D{l:132,t:11,i:533},
D{l:136,t:11,i:608},
D{l:8,t:0,i:885},
D{l:138,t:0,i:865},
D{l:132,t:0,i:426},
D{l:6,t:0,i:58},
D{l:7,t:0,i:745},
D{l:7,t:0,i:1969},
D{l:8,t:0,i:399},
D{l:8,t:0,i:675},
D{l:9,t:0,i:479},
D{l:9,t:0,i:731},
D{l:10,t:0,i:330},
D{l:10,t:0,i:593},
D{l:10,t:0,i:817},
D{l:11,t:0,i:32},
D{l:11,t:0,i:133},
D{l:11,t:0,i:221},
D{l:145,t:0,i:68},
D{l:134,t:10,i:255},
D{l:7,t:0,i:102},
D{l:137,t:0,i:538},
D{l:137,t:10,i:216},
D{l:7,t:11,i:253},
D{l:136,t:11,i:549},
D{l:135,t:11,i:912},
D{l:9,t:10,i:183},
D{l:139,t:10,i:286},
D{l:11,t:10,i:956},
D{l:151,t:10,i:3},
D{l:8,t:11,i:527},
D{l:18,t:11,i:60},
D{l:147,t:11,i:24},
D{l:4,t:10,i:536},
D{l:7,t:10,i:1141},
D{l:10,t:10,i:723},
D{l:139,t:10,i:371},
D{l:133,t:11,i:920},
D{l:7,t:0,i:876},
D{l:135,t:10,i:285},
D{l:135,t:10,i:560},
D{l:132,t:10,i:690},
D{l:142,t:11,i:126},
D{l:11,t:10,i:33},
D{l:12,t:10,i:571},
D{l:149,t:10,i:1},
D{l:133,t:0,i:566},
D{l:9,t:0,i:139},
D{l:10,t:0,i:399},
D{l:11,t:0,i:469},
D{l:12,t:0,i:634},
D{l:13,t:0,i:223},
D{l:132,t:11,i:483},
D{l:6,t:0,i:48},
D{l:135,t:0,i:63},
D{l:18,t:0,i:12},
D{l:7,t:10,i:1862},
D{l:12,t:10,i:491},
D{l:12,t:10,i:520},
D{l:13,t:10,i:383},
D{l:142,t:10,i:244},
D{l:135,t:11,i:1665},
D{l:132,t:11,i:448},
D{l:9,t:11,i:495},
D{l:146,t:11,i:104},
D{l:6,t:0,i:114},
D{l:7,t:0,i:1224},
D{l:7,t:0,i:1556},
D{l:136,t:0,i:3},
D{l:4,t:10,i:190},
D{l:133,t:10,i:554},
D{l:8,t:0,i:576},
D{l:9,t:0,i:267},
D{l:133,t:10,i:1001},
D{l:133,t:10,i:446},
D{l:133,t:0,i:933},
D{l:139,t:11,i:1009},
D{l:8,t:11,i:653},
D{l:13,t:11,i:93},
D{l:147,t:11,i:14},
D{l:6,t:0,i:692},
D{l:6,t:0,i:821},
D{l:134,t:0,i:1077},
D{l:5,t:11,i:172},
D{l:135,t:11,i:801},
D{l:138,t:0,i:752},
D{l:4,t:0,i:375},
D{l:134,t:0,i:638},
D{l:134,t:0,i:1011},
D{l:140,t:11,i:540},
D{l:9,t:0,i:96},
D{l:133,t:11,i:260},
D{l:139,t:11,i:587},
D{l:135,t:10,i:1231},
D{l:12,t:0,i:30},
D{l:13,t:0,i:148},
D{l:14,t:0,i:87},
D{l:14,t:0,i:182},
D{l:16,t:0,i:42},
D{l:20,t:0,i:70},
D{l:132,t:10,i:304},
D{l:6,t:0,i:1398},
D{l:7,t:0,i:56},
D{l:7,t:0,i:1989},
D{l:8,t:0,i:337},
D{l:8,t:0,i:738},
D{l:9,t:0,i:600},
D{l:12,t:0,i:37},
D{l:13,t:0,i:447},
D{l:142,t:0,i:92},
D{l:138,t:0,i:666},
D{l:5,t:0,i:394},
D{l:7,t:0,i:487},
D{l:136,t:0,i:246},
D{l:9,t:0,i:437},
D{l:6,t:10,i:53},
D{l:6,t:10,i:199},
D{l:7,t:10,i:1408},
D{l:8,t:10,i:32},
D{l:8,t:10,i:93},
D{l:10,t:10,i:397},
D{l:10,t:10,i:629},
D{l:11,t:10,i:593},
D{l:11,t:10,i:763},
D{l:13,t:10,i:326},
D{l:145,t:10,i:35},
D{l:134,t:10,i:105},
D{l:9,t:0,i:320},
D{l:10,t:0,i:506},
D{l:138,t:10,i:794},
D{l:7,t:11,i:57},
D{l:8,t:11,i:167},
D{l:8,t:11,i:375},
D{l:9,t:11,i:82},
D{l:9,t:11,i:561},
D{l:10,t:11,i:620},
D{l:10,t:11,i:770},
D{l:11,t:10,i:704},
D{l:141,t:10,i:396},
D{l:6,t:0,i:1003},
D{l:5,t:10,i:114},
D{l:5,t:10,i:255},
D{l:141,t:10,i:285},
D{l:7,t:0,i:866},
D{l:135,t:0,i:1163},
D{l:133,t:11,i:531},
D{l:132,t:0,i:328},
D{l:7,t:10,i:2035},
D{l:8,t:10,i:19},
D{l:9,t:10,i:89},
D{l:138,t:10,i:831},
D{l:8,t:11,i:194},
D{l:136,t:11,i:756},
D{l:136,t:0,i:1000},
D{l:5,t:11,i:453},
D{l:134,t:11,i:441},
D{l:4,t:0,i:101},
D{l:5,t:0,i:833},
D{l:7,t:0,i:1171},
D{l:136,t:0,i:744},
D{l:133,t:0,i:726},
D{l:136,t:10,i:746},
D{l:138,t:0,i:176},
D{l:6,t:0,i:9},
D{l:6,t:0,i:397},
D{l:7,t:0,i:53},
D{l:7,t:0,i:1742},
D{l:10,t:0,i:632},
D{l:11,t:0,i:828},
D{l:140,t:0,i:146},
D{l:135,t:11,i:22},
D{l:145,t:11,i:64},
D{l:132,t:0,i:839},
D{l:11,t:0,i:417},
D{l:12,t:0,i:223},
D{l:140,t:0,i:265},
D{l:4,t:11,i:102},
D{l:7,t:11,i:815},
D{l:7,t:11,i:1699},
D{l:139,t:11,i:964},
D{l:5,t:10,i:955},
D{l:136,t:10,i:814},
D{l:6,t:0,i:1931},
D{l:6,t:0,i:2007},
D{l:18,t:0,i:246},
D{l:146,t:0,i:247},
D{l:8,t:0,i:198},
D{l:11,t:0,i:29},
D{l:140,t:0,i:534},
D{l:135,t:0,i:1771},
D{l:6,t:0,i:846},
D{l:7,t:11,i:1010},
D{l:11,t:11,i:733},
D{l:11,t:11,i:759},
D{l:12,t:11,i:563},
D{l:13,t:11,i:34},
D{l:14,t:11,i:101},
D{l:18,t:11,i:45},
D{l:146,t:11,i:129},
D{l:4,t:0,i:186},
D{l:5,t:0,i:157},
D{l:8,t:0,i:168},
D{l:138,t:0,i:6},
D{l:132,t:11,i:899},
D{l:133,t:10,i:56},
D{l:148,t:10,i:100},
D{l:133,t:0,i:875},
D{l:5,t:0,i:773},
D{l:5,t:0,i:991},
D{l:6,t:0,i:1635},
D{l:134,t:0,i:1788},
D{l:6,t:0,i:1274},
D{l:9,t:0,i:477},
D{l:141,t:0,i:78},
D{l:4,t:0,i:639},
D{l:7,t:0,i:111},
D{l:8,t:0,i:581},
D{l:12,t:0,i:177},
D{l:6,t:11,i:52},
D{l:9,t:11,i:104},
D{l:9,t:11,i:559},
D{l:10,t:10,i:4},
D{l:10,t:10,i:13},
D{l:11,t:10,i:638},
D{l:12,t:11,i:308},
D{l:19,t:11,i:87},
D{l:148,t:10,i:57},
D{l:132,t:11,i:604},
D{l:4,t:11,i:301},
D{l:133,t:10,i:738},
D{l:133,t:10,i:758},
D{l:134,t:0,i:1747},
D{l:7,t:11,i:1440},
D{l:11,t:11,i:854},
D{l:11,t:11,i:872},
D{l:11,t:11,i:921},
D{l:12,t:11,i:551},
D{l:13,t:11,i:472},
D{l:142,t:11,i:367},
D{l:7,t:0,i:1364},
D{l:7,t:0,i:1907},
D{l:141,t:0,i:158},
D{l:134,t:0,i:873},
D{l:4,t:0,i:404},
D{l:4,t:0,i:659},
D{l:7,t:0,i:552},
D{l:135,t:0,i:675},
D{l:135,t:10,i:1112},
D{l:139,t:10,i:328},
D{l:7,t:11,i:508},
D{l:137,t:10,i:133},
D{l:133,t:0,i:391},
D{l:5,t:10,i:110},
D{l:6,t:10,i:169},
D{l:6,t:10,i:1702},
D{l:7,t:10,i:400},
D{l:8,t:10,i:538},
D{l:9,t:10,i:184},
D{l:9,t:10,i:524},
D{l:140,t:10,i:218},
D{l:6,t:11,i:310},
D{l:7,t:11,i:1849},
D{l:8,t:11,i:72},
D{l:8,t:11,i:272},
D{l:8,t:11,i:431},
D{l:9,t:11,i:12},
D{l:9,t:11,i:351},
D{l:10,t:11,i:563},
D{l:10,t:11,i:630},
D{l:10,t:11,i:810},
D{l:11,t:11,i:367},
D{l:11,t:11,i:599},
D{l:11,t:11,i:686},
D{l:140,t:11,i:672},
D{l:5,t:0,i:540},
D{l:6,t:0,i:1697},
D{l:136,t:0,i:668},
D{l:132,t:0,i:883},
D{l:134,t:0,i:78},
D{l:12,t:0,i:628},
D{l:18,t:0,i:79},
D{l:6,t:10,i:133},
D{l:9,t:10,i:353},
D{l:139,t:10,i:993},
D{l:6,t:11,i:181},
D{l:7,t:11,i:537},
D{l:8,t:11,i:64},
D{l:9,t:11,i:127},
D{l:10,t:11,i:496},
D{l:12,t:11,i:510},
D{l:141,t:11,i:384},
D{l:6,t:10,i:93},
D{l:7,t:10,i:1422},
D{l:7,t:10,i:1851},
D{l:8,t:10,i:673},
D{l:9,t:10,i:529},
D{l:140,t:10,i:43},
D{l:137,t:10,i:371},
D{l:134,t:0,i:1460},
D{l:134,t:0,i:962},
D{l:4,t:11,i:244},
D{l:135,t:11,i:233},
D{l:9,t:10,i:25},
D{l:10,t:10,i:467},
D{l:138,t:10,i:559},
D{l:4,t:10,i:335},
D{l:135,t:10,i:942},
D{l:133,t:0,i:460},
D{l:135,t:11,i:334},
D{l:134,t:11,i:1650},
D{l:4,t:0,i:199},
D{l:139,t:0,i:34},
D{l:5,t:10,i:601},
D{l:8,t:10,i:39},
D{l:10,t:10,i:773},
D{l:11,t:10,i:84},
D{l:12,t:10,i:205},
D{l:142,t:10,i:1},
D{l:133,t:10,i:870},
D{l:134,t:0,i:388},
D{l:14,t:0,i:474},
D{l:148,t:0,i:120},
D{l:133,t:11,i:369},
D{l:139,t:0,i:271},
D{l:4,t:0,i:511},
D{l:9,t:0,i:333},
D{l:9,t:0,i:379},
D{l:10,t:0,i:602},
D{l:11,t:0,i:441},
D{l:11,t:0,i:723},
D{l:11,t:0,i:976},
D{l:12,t:0,i:357},
D{l:132,t:10,i:181},
D{l:134,t:0,i:608},
D{l:134,t:10,i:1652},
D{l:22,t:0,i:49},
D{l:137,t:11,i:338},
D{l:140,t:0,i:988},
D{l:134,t:0,i:617},
D{l:5,t:0,i:938},
D{l:136,t:0,i:707},
D{l:132,t:10,i:97},
D{l:5,t:10,i:147},
D{l:6,t:10,i:286},
D{l:7,t:10,i:1362},
D{l:141,t:10,i:176},
D{l:6,t:0,i:756},
D{l:134,t:0,i:1149},
D{l:133,t:11,i:896},
D{l:6,t:10,i:375},
D{l:7,t:10,i:169},
D{l:7,t:10,i:254},
D{l:136,t:10,i:780},
D{l:134,t:0,i:1583},
D{l:135,t:10,i:1447},
D{l:139,t:0,i:285},
D{l:7,t:11,i:1117},
D{l:8,t:11,i:393},
D{l:136,t:11,i:539},
D{l:135,t:0,i:344},
D{l:6,t:0,i:469},
D{l:7,t:0,i:1709},
D{l:138,t:0,i:515},
D{l:5,t:10,i:629},
D{l:135,t:10,i:1549},
D{l:5,t:11,i:4},
D{l:5,t:11,i:810},
D{l:6,t:11,i:13},
D{l:6,t:11,i:538},
D{l:6,t:11,i:1690},
D{l:6,t:11,i:1726},
D{l:7,t:11,i:499},
D{l:7,t:11,i:1819},
D{l:8,t:11,i:148},
D{l:8,t:11,i:696},
D{l:8,t:11,i:791},
D{l:12,t:11,i:125},
D{l:13,t:11,i:54},
D{l:143,t:11,i:9},
D{l:135,t:11,i:1268},
D{l:137,t:0,i:404},
D{l:132,t:0,i:500},
D{l:5,t:0,i:68},
D{l:134,t:0,i:383},
D{l:11,t:0,i:216},
D{l:139,t:0,i:340},
D{l:4,t:11,i:925},
D{l:5,t:11,i:803},
D{l:8,t:11,i:698},
D{l:138,t:11,i:828},
D{l:4,t:0,i:337},
D{l:6,t:0,i:353},
D{l:7,t:0,i:1934},
D{l:8,t:0,i:488},
D{l:137,t:0,i:429},
D{l:7,t:0,i:236},
D{l:7,t:0,i:1795},
D{l:8,t:0,i:259},
D{l:9,t:0,i:135},
D{l:9,t:0,i:177},
D{l:9,t:0,i:860},
D{l:10,t:0,i:825},
D{l:11,t:0,i:115},
D{l:11,t:0,i:370},
D{l:11,t:0,i:405},
D{l:11,t:0,i:604},
D{l:12,t:0,i:10},
D{l:12,t:0,i:667},
D{l:12,t:0,i:669},
D{l:13,t:0,i:76},
D{l:14,t:0,i:310},
D{l:15,t:0,i:76},
D{l:15,t:0,i:147},
D{l:148,t:0,i:23},
D{l:4,t:0,i:15},
D{l:4,t:0,i:490},
D{l:5,t:0,i:22},
D{l:6,t:0,i:244},
D{l:7,t:0,i:40},
D{l:7,t:0,i:200},
D{l:7,t:0,i:906},
D{l:7,t:0,i:1199},
D{l:9,t:0,i:616},
D{l:10,t:0,i:716},
D{l:11,t:0,i:635},
D{l:11,t:0,i:801},
D{l:140,t:0,i:458},
D{l:12,t:0,i:756},
D{l:132,t:10,i:420},
D{l:134,t:0,i:1504},
D{l:6,t:0,i:757},
D{l:133,t:11,i:383},
D{l:6,t:0,i:1266},
D{l:135,t:0,i:1735},
D{l:5,t:0,i:598},
D{l:7,t:0,i:791},
D{l:8,t:0,i:108},
D{l:9,t:0,i:123},
D{l:7,t:10,i:1570},
D{l:140,t:10,i:542},
D{l:142,t:11,i:410},
D{l:9,t:11,i:660},
D{l:138,t:11,i:347}];<｜fim▁end｜> | D{l:12,t:10,i:362}, |
<|file_name|>zzzTestRuleConfigurePasswordPolicy.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜># This program was produced under U.S. Government contract 89233218CNA000001 #
# for Los Alamos National Laboratory (LANL), which is operated by Triad #
# National Security, LLC for the U.S. Department of Energy/National Nuclear #
# Security Administration. #
# #
# All rights in the program are reserved by Triad National Security, LLC, and #
# the U.S. Department of Energy/National Nuclear Security Administration. The #
# Government is granted for itself and others acting on its behalf a #
# nonexclusive, paid-up, irrevocable worldwide license in this material to #
# reproduce, prepare derivative works, distribute copies to the public, #
# perform publicly and display publicly, and to permit others to do so. #
# #
###############################################################################
'''
Created on Jun 9, 2015
@author: dwalker
@change: 2016/02/10 roy Added sys.path.append for being able to unit test this
file as well as with the test harness.
@change: 2016/04/06 eball Updated name to ConfigureProfileManagement
@change: 2016/11/02 eball Updated name to ConfigurePasswordPolicy
'''
import unittest
import sys, os
sys.path.append("../../../..")
from src.tests.lib.RuleTestTemplate import RuleTest
from src.tests.lib.logdispatcher_mock import LogPriority
from src.stonix_resources.rules.ConfigurePasswordPolicy import ConfigurePasswordPolicy
from src.stonix_resources.CommandHelper import CommandHelper
from src.stonix_resources.KVEditorStonix import KVEditorStonix
class zzzTestRuleConfigurePasswordPolicy(RuleTest):
def setUp(self):
RuleTest.setUp(self)
self.rule = ConfigurePasswordPolicy(self.config, self.environ,
self.logdispatch,
self.statechglogger)
self.rulename = self.rule.rulename
self.rulenumber = self.rule.rulenumber
self.ch = CommandHelper(self.logdispatch)
def tearDown(self):
pass
def runTest(self):
self.simpleRuleTest()
def setConditionsForRule(self):
'''@author: dwalker
@note: This unit test will install two incorrect profiles on purpose
to force system non-compliancy
'''
success = True
goodprofiles = {}
pwprofile = os.path.abspath(os.path.join(os.path.dirname(sys.argv[0]))) + \
"/src/stonix_resources/files/stonix4macPasscodeProfileFor" + \
"OSXElCapitan10.11.mobileconfig"
secprofile = os.path.abspath(os.path.join(os.path.dirname(sys.argv[0]))) + \
"/src/stonix_resources/files/stonix4macSecurity&Privacy" + \
"ForOSXElcapitan10.11.mobileconfig"
pwprofiledict = {"com.apple.mobiledevice.passwordpolicy":
{"allowSimple": ["1", "bool"],
"forcePIN": ["1", "bool"],
"maxFailedAttempts": ["5", "int", "less"],
"maxPINAgeInDays": ["180", "int", "more"],
"minComplexChars": ["1", "int", "more"],
"minLength": ["8", "int", "more"],
"minutesUntilFailedLoginReset":
["15", "int", "more"],
"pinHistory": ["5", "int", "more"],
"requireAlphanumeric": ["1", "bool"]}}
spprofiledict = {"com.apple.screensaver": "",
"com.apple.loginwindow": "",
"com.apple.systempolicy.managed": "",
"com.apple.SubmitDiagInfo": "",
"com.apple.preference.security": "",
"com.apple.MCX": "",
"com.apple.applicationaccess": "",
"com.apple.systempolicy.control": ""}
self.rule.pwprofile = pwprofile
self.rule.secprofile = secprofile
goodprofiles[pwprofile] = pwprofiledict
goodprofiles[secprofile] = spprofiledict
cmd = ["/usr/sbin/system_profiler", "SPConfigurationProfileDataType"]
if self.ch.executeCommand(cmd):
output = self.ch.getOutput()
if output:
for item, values in list(goodprofiles.items()):
self.editor = KVEditorStonix(self.statechglogger,
self.logdispatch, "profiles", "",
"", values, "", "", output)
if self.editor.report():
cmd = ["/usr/bin/profiles", "-R", "-F", item]
if not self.ch.executeCommand(cmd):
success = False
else:
cmd = ["/usr/bin/profiles", "-I", "-F,", item + "fake"]
if not self.ch.executeCommand(cmd):
success = False
else:
success = False
return success
def checkReportForRule(self, pCompliance, pRuleSuccess):
'''check on whether report was correct
:param self: essential if you override this definition
:param pCompliance: the self.iscompliant value of rule
:param pRuleSuccess: did report run successfully
:returns: boolean - If successful True; If failure False
@author: ekkehard j. koch
'''
self.logdispatch.log(LogPriority.DEBUG, "pCompliance = " +
str(pCompliance) + ".")
self.logdispatch.log(LogPriority.DEBUG, "pRuleSuccess = " +
str(pRuleSuccess) + ".")
success = True
return success
def checkFixForRule(self, pRuleSuccess):
'''check on whether fix was correct
:param self: essential if you override this definition
:param pRuleSuccess: did report run successfully
:returns: boolean - If successful True; If failure False
@author: ekkehard j. koch
'''
self.logdispatch.log(LogPriority.DEBUG, "pRuleSuccess = " +
str(pRuleSuccess) + ".")
success = True
return success
def checkUndoForRule(self, pRuleSuccess):
'''check on whether undo was correct
:param self: essential if you override this definition
:param pRuleSuccess: did report run successfully
:returns: boolean - If successful True; If failure False
@author: ekkehard j. koch
'''
self.logdispatch.log(LogPriority.DEBUG, "pRuleSuccess = " +
str(pRuleSuccess) + ".")
success = True
return success
if __name__ == "__main__":
#import sys;sys.argv = ['', 'Test.testName']
unittest.main()<｜fim▁end｜> | #!/usr/bin/env python3
###############################################################################
# #
# Copyright 2019. Triad National Security, LLC. All rights reserved. # |
<|file_name|>test_p2y.py<|end_file_name|><｜fim▁begin｜># Copyright (c) 2012-2013, Itzik Kotler
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of the author nor the names of its contributors may
# be used to endorse or promote products derived from this software without
# specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import unittest
import networkx
# Local imports
import pythonect.internal.parsers.p2y
class TestPythonectScriptParser(unittest.TestCase):
def test_program_empty(self):
g = networkx.DiGraph()
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('').nodes()) == len(g.nodes()), True)
def test_expr_atom(self):
g = networkx.DiGraph()
g.add_node('1')
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('1').nodes()) == len(g.nodes()), True)
def test_shebang_line_with_even_expr_atom_op_expr(self):
g = networkx.DiGraph()
g.add_node('1')<｜fim▁hole｜>
g.add_edge('1', '2')
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('#! /usr/bin/env pythonect\n1 -> 1').edges()) == len(g.edges()), True)
def test_even_expr_atom_op_expr(self):
g = networkx.DiGraph()
g.add_node('1')
g.add_node('2')
g.add_edge('1', '2')
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('1 -> 1').edges()) == len(g.edges()), True)
def test_odd_expr_atom_op_expr(self):
g = networkx.DiGraph()
g.add_node('1')
g.add_node('2')
g.add_node('3')
g.add_edge('1', '2')
g.add_edge('2', '3')
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('1 -> 1 -> 1').edges()) == len(g.edges()), True)
def test_program_expr_list(self):
g = networkx.DiGraph()
g.add_node('1')
g.add_node('2')
self.assertEqual(len(pythonect.internal.parsers.p2y.PythonectScriptParser().parse('1 , 2').nodes()) == len(g.nodes()), True)<｜fim▁end｜> |
g.add_node('2') |
<|file_name|>ParticleRenderer.java<|end_file_name|><｜fim▁begin｜>package eu.tankernn.gameEngine.particles;
import java.nio.FloatBuffer;
import java.util.List;
import java.util.Map;
import org.lwjgl.BufferUtils;
import org.lwjgl.opengl.GL11;
import org.lwjgl.opengl.GL15;
import org.lwjgl.opengl.GL31;
import org.lwjgl.util.vector.Matrix4f;
import org.lwjgl.util.vector.Vector3f;
import eu.tankernn.gameEngine.entities.Camera;
import eu.tankernn.gameEngine.loader.Loader;
import eu.tankernn.gameEngine.renderEngine.Vao;
import eu.tankernn.gameEngine.renderEngine.Vbo;
public class ParticleRenderer {
private static final float[] VERTICES = {-0.5f, 0.5f, -0.5f, -0.5f, 0.5f, 0.5f, 0.5f, -0.5f};
private static final int MAX_INSTANCES = 10000;
private static final int INSTANCE_DATA_LENGTH = 21;
private static final FloatBuffer buffer = BufferUtils.createFloatBuffer(MAX_INSTANCES * INSTANCE_DATA_LENGTH);
private Vao quad;
private ParticleShader shader;
private Vbo vbo;
private int pointer = 0;
protected ParticleRenderer(Loader loader, Matrix4f projectionMatrix) {
this.vbo = Vbo.create(GL15.GL_ARRAY_BUFFER, GL15.GL_STREAM_DRAW, INSTANCE_DATA_LENGTH * MAX_INSTANCES);
quad = loader.loadToVAO(VERTICES, 2);
for (int i = 0; i < 5; i++)
quad.addInstacedAttribute(vbo, i + 1, 4, INSTANCE_DATA_LENGTH, i * 4);
quad.addInstacedAttribute(vbo, 6, 1, INSTANCE_DATA_LENGTH, 20);
shader = new ParticleShader();
shader.start();
shader.projectionMatrix.loadMatrix(projectionMatrix);
shader.stop();
}
protected void render(Map<ParticleTexture, List<IParticle>> particles, Camera camera) {
Matrix4f viewMatrix = camera.getViewMatrix();
prepare();
for (ParticleTexture texture: particles.keySet()) {
bindTexture(texture);
List<IParticle> particleList = particles.get(texture);
pointer = 0;
float[] vboData = new float[particleList.size() * INSTANCE_DATA_LENGTH];
for (IParticle p: particleList) {
updateModelViewMatrix(p.getPosition(), p.getRotation(), p.getScale(), viewMatrix, vboData);
updateTexCoordInfo(p, vboData);
}
vbo.updateData(vboData, buffer);
GL31.glDrawArraysInstanced(GL11.GL_TRIANGLE_STRIP, 0, quad.getIndexCount(), particleList.size());
}
finishRendering();
}
@Override
protected void finalize() {
shader.finalize();
}
private void updateTexCoordInfo(IParticle p, float[] data) {
data[pointer++] = p.getTexOffset1().x;
data[pointer++] = p.getTexOffset1().y;
data[pointer++] = p.getTexOffset2().x;
data[pointer++] = p.getTexOffset2().y;
data[pointer++] = p.getBlend();
}
private void bindTexture(ParticleTexture texture) {
int blendType = texture.usesAdditiveBlending() ? GL11.GL_ONE : GL11.GL_ONE_MINUS_SRC_ALPHA;
GL11.glBlendFunc(GL11.GL_SRC_ALPHA, blendType);
texture.getTexture().bindToUnit(0);
shader.numberOfRows.loadFloat(texture.getNumberOfRows());
}
private void updateModelViewMatrix(Vector3f position, float rotation, float scale, Matrix4f viewMatrix, float[] vboData) {
Matrix4f modelMatrix = new Matrix4f();
Matrix4f.translate(position, modelMatrix, modelMatrix);<｜fim▁hole｜> modelMatrix.m00 = viewMatrix.m00;
modelMatrix.m01 = viewMatrix.m10;
modelMatrix.m02 = viewMatrix.m20;
modelMatrix.m10 = viewMatrix.m01;
modelMatrix.m11 = viewMatrix.m11;
modelMatrix.m12 = viewMatrix.m21;
modelMatrix.m20 = viewMatrix.m02;
modelMatrix.m21 = viewMatrix.m12;
modelMatrix.m22 = viewMatrix.m22;
Matrix4f.rotate((float) Math.toRadians(rotation), new Vector3f(0, 0, 1), modelMatrix, modelMatrix);
Matrix4f.rotate((float) Math.toRadians(180), new Vector3f(1, 0, 0), modelMatrix, modelMatrix);
Matrix4f.scale(new Vector3f(scale, scale, scale), modelMatrix, modelMatrix);
Matrix4f modelViewMatrix = Matrix4f.mul(viewMatrix, modelMatrix, null);
storeMatrixData(modelViewMatrix, vboData);
}
private void storeMatrixData(Matrix4f matrix, float[] vboData) {
vboData[pointer++] = matrix.m00;
vboData[pointer++] = matrix.m01;
vboData[pointer++] = matrix.m02;
vboData[pointer++] = matrix.m03;
vboData[pointer++] = matrix.m10;
vboData[pointer++] = matrix.m11;
vboData[pointer++] = matrix.m12;
vboData[pointer++] = matrix.m13;
vboData[pointer++] = matrix.m20;
vboData[pointer++] = matrix.m21;
vboData[pointer++] = matrix.m22;
vboData[pointer++] = matrix.m23;
vboData[pointer++] = matrix.m30;
vboData[pointer++] = matrix.m31;
vboData[pointer++] = matrix.m32;
vboData[pointer++] = matrix.m33;
}
private void prepare() {
shader.start();
quad.bind(0, 1, 2, 3, 4, 5, 6);
GL11.glEnable(GL11.GL_BLEND);
GL11.glDisable(GL11.GL_CULL_FACE);
GL11.glBlendFunc(GL11.GL_SRC_ALPHA, GL11.GL_ONE_MINUS_SRC_ALPHA);
GL11.glDepthMask(false);
}
private void finishRendering() {
GL11.glDepthMask(true);
GL11.glDisable(GL11.GL_BLEND);
GL11.glEnable(GL11.GL_CULL_FACE);
quad.unbind(0, 1, 2, 3, 4, 5, 6);
shader.stop();
}
}<｜fim▁end｜> | //Sets rotation of model matrix to transpose of rotation of view matrix |
<|file_name|>parallel_for_collapse_messages.cpp<|end_file_name|><｜fim▁begin｜>// RUN: %clang_cc1 -verify -fopenmp=libiomp5 %s
void foo() {
}
bool foobool(int argc) {
return argc;<｜fim▁hole｜>
template <class T, typename S, int N, int ST> // expected-note {{declared here}}
T tmain(T argc, S **argv) { //expected-note 2 {{declared here}}
#pragma omp parallel for collapse // expected-error {{expected '(' after 'collapse'}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse ( // expected-error {{expected expression}} expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse () // expected-error {{expected expression}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
// expected-error@+3 {{expected ')'}} expected-note@+3 {{to match this '('}}
// expected-error@+2 2 {{expression is not an integral constant expression}}
// expected-note@+1 2 {{read of non-const variable 'argc' is not allowed in a constant expression}}
#pragma omp parallel for collapse (argc
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
// expected-error@+1 2 {{argument to 'collapse' clause must be a positive integer value}}
#pragma omp parallel for collapse (ST // expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse (1)) // expected-warning {{extra tokens at the end of '#pragma omp parallel for' are ignored}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse ((ST > 0) ? 1 + ST : 2) // expected-note 2 {{as specified in 'collapse' clause}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST]; // expected-error 2 {{expected 2 for loops after '#pragma omp parallel for', but found only 1}}
// expected-error@+3 2 {{directive '#pragma omp parallel for' cannot contain more than one 'collapse' clause}}
// expected-error@+2 2 {{argument to 'collapse' clause must be a positive integer value}}
// expected-error@+1 2 {{expression is not an integral constant expression}}
#pragma omp parallel for collapse (foobool(argc)), collapse (true), collapse (-5)
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse (S) // expected-error {{'S' does not refer to a value}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
// expected-error@+1 2 {{expression is not an integral constant expression}}
#pragma omp parallel for collapse (argv[1]=2) // expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse (1)
for (int i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse (N) // expected-error {{argument to 'collapse' clause must be a positive integer value}}
for (T i = ST; i < N; i++) argv[0][i] = argv[0][i] - argv[0][i-ST];
#pragma omp parallel for collapse (2) // expected-note {{as specified in 'collapse' clause}}
foo(); // expected-error {{expected 2 for loops after '#pragma omp parallel for'}}
return argc;
}
int main(int argc, char **argv) {
#pragma omp parallel for collapse // expected-error {{expected '(' after 'collapse'}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
#pragma omp parallel for collapse ( // expected-error {{expected expression}} expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
#pragma omp parallel for collapse () // expected-error {{expected expression}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
#pragma omp parallel for collapse (4 // expected-error {{expected ')'}} expected-note {{to match this '('}} expected-note {{as specified in 'collapse' clause}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4]; // expected-error {{expected 4 for loops after '#pragma omp parallel for', but found only 1}}
#pragma omp parallel for collapse (2+2)) // expected-warning {{extra tokens at the end of '#pragma omp parallel for' are ignored}} expected-note {{as specified in 'collapse' clause}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4]; // expected-error {{expected 4 for loops after '#pragma omp parallel for', but found only 1}}
#pragma omp parallel for collapse (foobool(1) > 0 ? 1 : 2) // expected-error {{expression is not an integral constant expression}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
// expected-error@+3 {{expression is not an integral constant expression}}
// expected-error@+2 2 {{directive '#pragma omp parallel for' cannot contain more than one 'collapse' clause}}
// expected-error@+1 2 {{argument to 'collapse' clause must be a positive integer value}}
#pragma omp parallel for collapse (foobool(argc)), collapse (true), collapse (-5)
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
#pragma omp parallel for collapse (S1) // expected-error {{'S1' does not refer to a value}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
// expected-error@+1 {{expression is not an integral constant expression}}
#pragma omp parallel for collapse (argv[1]=2) // expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = 4; i < 12; i++) argv[0][i] = argv[0][i] - argv[0][i-4];
// expected-error@+3 {{statement after '#pragma omp parallel for' must be a for loop}}
// expected-note@+1 {{in instantiation of function template specialization 'tmain<int, char, -1, -2>' requested here}}
#pragma omp parallel for collapse(collapse(tmain<int, char, -1, -2>(argc, argv) // expected-error 2 {{expected ')'}} expected-note 2 {{to match this '('}}
foo();
#pragma omp parallel for collapse (2) // expected-note {{as specified in 'collapse' clause}}
foo(); // expected-error {{expected 2 for loops after '#pragma omp parallel for'}}
// expected-note@+1 {{in instantiation of function template specialization 'tmain<int, char, 1, 0>' requested here}}
return tmain<int, char, 1, 0>(argc, argv);
}<｜fim▁end｜> | }
struct S1; // expected-note {{declared here}} |
<|file_name|>0006_auto__add_field_face_district_id.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Face.district_id'
db.add_column(u'faces_face', 'district_id',
self.gf('django.db.models.fields.related.ForeignKey')(to=orm['faces.District'], null=True),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Face.district_id'
db.delete_column(u'faces_face', 'district_id_id')
models = {
'album.imagecollection': {
'Meta': {'object_name': 'ImageCollection'},
'_meta_title': ('django.db.models.fields.CharField', [], {'max_length': '500', 'null': 'True', 'blank': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'expiry_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'gen_description': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'in_sitemap': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'keywords_string': ('django.db.models.fields.CharField', [], {'max_length': '500', 'blank': 'True'}),
'publish_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'short_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']"}),
'slug': ('django.db.models.fields.CharField', [], {'max_length': '2000', 'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'zip_import': ('django.db.models.fields.files.FileField', [], {'max_length': '100', 'blank': 'True'})
},
'album.imagecollectionimage': {
'Meta': {'ordering': "(u'_order',)", 'object_name': 'ImageCollectionImage'},
'_meta_title': ('django.db.models.fields.CharField', [], {'max_length': '500', 'null': 'True', 'blank': 'True'}),
'_order': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'expiry_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'file': ('mezzanine.core.fields.FileField', [], {'max_length': '200'}),
'gen_description': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image_collection': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'images'", 'to': "orm['album.ImageCollection']"}),
'in_sitemap': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'keywords_string': ('django.db.models.fields.CharField', [], {'max_length': '500', 'blank': 'True'}),
'publish_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'short_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']"}),
'slug': ('django.db.models.fields.CharField', [], {'max_length': '2000', 'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True'})
},
'faces.district': {
'Meta': {'object_name': 'District'},
'_meta_title': ('django.db.models.fields.CharField', [], {'max_length': '500', 'null': 'True', 'blank': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'district': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '100'}),
'district_description': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'expiry_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'gen_description': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'in_sitemap': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'keywords_string': ('django.db.models.fields.CharField', [], {'max_length': '500', 'blank': 'True'}),
'publish_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'short_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']"}),
'slug': ('django.db.models.fields.CharField', [], {'max_length': '2000', 'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True'})
},
u'faces.face': {<｜fim▁hole｜> 'Meta': {'ordering': "(u'_order',)", 'object_name': 'Face'},
'_meta_title': ('django.db.models.fields.CharField', [], {'max_length': '500', 'null': 'True', 'blank': 'True'}),
'_order': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'district': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'district_id': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['faces.District']", 'null': 'True'}),
'expiry_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'gen_description': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image_collection': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['album.ImageCollection']"}),
'in_sitemap': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_pinned': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
u'keywords_string': ('django.db.models.fields.CharField', [], {'max_length': '500', 'blank': 'True'}),
'publish_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'short_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']"}),
'slug': ('django.db.models.fields.CharField', [], {'max_length': '2000', 'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'zip_import': ('django.db.models.fields.files.FileField', [], {'max_length': '100', 'blank': 'True'})
},
'faces.faceimage': {
'Meta': {'ordering': "(u'_order',)", 'object_name': 'FaceImage'},
'_meta_title': ('django.db.models.fields.CharField', [], {'max_length': '500', 'null': 'True', 'blank': 'True'}),
'_order': ('django.db.models.fields.IntegerField', [], {'null': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'expiry_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'face': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'images'", 'to': u"orm['faces.Face']"}),
'gen_description': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image_collection_image': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'face_image'", 'to': "orm['album.ImageCollectionImage']"}),
'image_file': ('mezzanine.core.fields.FileField', [], {'max_length': '200', 'null': 'True'}),
'in_sitemap': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_pinned': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
u'keywords_string': ('django.db.models.fields.CharField', [], {'max_length': '500', 'blank': 'True'}),
'publish_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'short_url': ('django.db.models.fields.URLField', [], {'max_length': '200', 'null': 'True', 'blank': 'True'}),
'site': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['sites.Site']"}),
'slug': ('django.db.models.fields.CharField', [], {'max_length': '2000', 'null': 'True', 'blank': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {'default': '2'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True'})
},
u'sites.site': {
'Meta': {'ordering': "(u'domain',)", 'object_name': 'Site', 'db_table': "u'django_site'"},
'domain': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
}
}
complete_apps = ['faces']<｜fim▁end｜> | |
<|file_name|>bitcoin_cs.ts<|end_file_name|><｜fim▁begin｜><TS language="cs" version="2.1">
<context>
<name>AddressBookPage</name>
<message>
<source>Right-click to edit address or label</source>
<translation>Pravým tlačítkem myši začneš upravovat označení adresy</translation>
</message>
<message>
<source>Create a new address</source>
<translation>Vytvoř novou adresu</translation>
</message>
<message>
<source>&New</source>
<translation>&Nová</translation>
</message>
<message>
<source>Copy the currently selected address to the system clipboard</source>
<translation>Zkopíruj aktuálně vybranou adresu do systémové schránky</translation>
</message>
<message>
<source>&Copy</source>
<translation>&Kopíruj</translation>
</message>
<message>
<source>C&lose</source>
<translation>&Zavřít</translation>
</message>
<message>
<source>&Copy Address</source>
<translation>&Kopíruj adresu</translation>
</message>
<message>
<source>Delete the currently selected address from the list</source>
<translation>Smaž zvolenou adresu ze seznamu</translation>
</message>
<message>
<source>Export the data in the current tab to a file</source>
<translation>Exportuj data z tohoto panelu do souboru</translation>
</message>
<message>
<source>&Export</source>
<translation>&Export</translation>
</message>
<message>
<source>&Delete</source>
<translation>S&maž</translation>
</message>
<message>
<source>Choose the address to send coins to</source>
<translation>Zvol adresu, na kterou pošleš mince</translation>
</message>
<message>
<source>Choose the address to receive coins with</source>
<translation>Zvol adres na příjem mincí</translation>
</message>
<message>
<source>C&hoose</source>
<translation>&Zvol</translation>
</message>
<message>
<source>Sending addresses</source>
<translation>Odesílací adresy</translation>
</message>
<message>
<source>Receiving addresses</source>
<translation>Přijímací adresy</translation>
</message>
<message>
<source>These are your Bata addresses for sending payments. Always check the amount and the receiving address before sending coins.</source>
<translation>Tohle jsou tvé Bataové adresy pro posílání plateb. Před odesláním mincí si vždy zkontroluj částku a cílovou adresu.</translation>
</message>
<message>
<source>These are your Bata addresses for receiving payments. It is recommended to use a new receiving address for each transaction.</source>
<translation>Tohle jsou tvé Bataové adresy pro příjem plateb. Je doporučené používat pokaždé novou adresu pro každou transakci.</translation>
</message>
<message>
<source>Copy &Label</source>
<translation>Kopíruj &označení</translation>
</message>
<message>
<source>&Edit</source>
<translation>&Uprav</translation>
</message>
<message>
<source>Export Address List</source><｜fim▁hole｜> <translation>Exportuj seznam adres</translation>
</message>
<message>
<source>Comma separated file (*.csv)</source>
<translation>CSV formát (*.csv)</translation>
</message>
<message>
<source>Exporting Failed</source>
<translation>Exportování selhalo</translation>
</message>
<message>
<source>There was an error trying to save the address list to %1. Please try again.</source>
<translation>Při ukládání seznamu adres do %1 se přihodila nějaká chyba. Zkus to prosím znovu.</translation>
</message>
</context>
<context>
<name>AddressTableModel</name>
<message>
<source>Label</source>
<translation>Označení</translation>
</message>
<message>
<source>Address</source>
<translation>Adresa</translation>
</message>
<message>
<source>(no label)</source>
<translation>(bez označení)</translation>
</message>
</context>
<context>
<name>AskPassphraseDialog</name>
<message>
<source>Passphrase Dialog</source>
<translation>Změna hesla</translation>
</message>
<message>
<source>Enter passphrase</source>
<translation>Zadej platné heslo</translation>
</message>
<message>
<source>New passphrase</source>
<translation>Zadej nové heslo</translation>
</message>
<message>
<source>Repeat new passphrase</source>
<translation>Totéž heslo ještě jednou</translation>
</message>
<message>
<source>Encrypt wallet</source>
<translation>Zašifruj peněženku</translation>
</message>
<message>
<source>This operation needs your wallet passphrase to unlock the wallet.</source>
<translation>K provedení této operace musíš zadat heslo k peněžence, aby se mohla odemknout.</translation>
</message>
<message>
<source>Unlock wallet</source>
<translation>Odemkni peněženku</translation>
</message>
<message>
<source>This operation needs your wallet passphrase to decrypt the wallet.</source>
<translation>K provedení této operace musíš zadat heslo k peněžence, aby se mohla dešifrovat.</translation>
</message>
<message>
<source>Decrypt wallet</source>
<translation>Dešifruj peněženku</translation>
</message>
<message>
<source>Change passphrase</source>
<translation>Změň heslo</translation>
</message>
<message>
<source>Enter the old and new passphrase to the wallet.</source>
<translation>Zadej staré a nové heslo k peněžence.</translation>
</message>
<message>
<source>Confirm wallet encryption</source>
<translation>Potvrď zašifrování peněženky</translation>
</message>
<message>
<source>Warning: If you encrypt your wallet and lose your passphrase, you will <b>LOSE ALL OF YOUR BATAS</b>!</source>
<translation>Upozornění: Pokud si zašifruješ peněženku a ztratíš či zapomeneš heslo, <b>PŘIJDEŠ O VŠECHNY BATAY</b>!</translation>
</message>
<message>
<source>Are you sure you wish to encrypt your wallet?</source>
<translation>Jsi si jistý, že chceš peněženku zašifrovat?</translation>
</message>
<message>
<source>IMPORTANT: Any previous backups you have made of your wallet file should be replaced with the newly generated, encrypted wallet file. For security reasons, previous backups of the unencrypted wallet file will become useless as soon as you start using the new, encrypted wallet.</source>
<translation>DŮLEŽITÉ: Všechny předchozí zálohy peněženky by měly být nahrazeny nově vygenerovanou, zašifrovanou peněženkou. Z bezpečnostních důvodů budou předchozí zálohy nešifrované peněženky nepoužitelné, jakmile začneš používat novou zašifrovanou peněženku.</translation>
</message>
<message>
<source>Warning: The Caps Lock key is on!</source>
<translation>Upozornění: Caps Lock je zapnutý!</translation>
</message>
<message>
<source>Wallet encrypted</source>
<translation>Peněženka je zašifrována</translation>
</message>
<message>
<source>Enter the new passphrase to the wallet.<br/>Please use a passphrase of <b>ten or more random characters</b>, or <b>eight or more words</b>.</source>
<translation>Zadej nové heslo k peněžence.<br/>Použij <b>alespoň deset náhodných znaků</b> nebo <b>alespoň osm slov</b>.</translation>
</message>
<message>
<source>Bata will close now to finish the encryption process. Remember that encrypting your wallet cannot fully protect your batas from being stolen by malware infecting your computer.</source>
<translation>Bata se teď ukončí, aby dokončil zašifrování. Pamatuj však, že pouhé zašifrování peněženky úplně nezabraňuje krádeži tvých bataů malwarem, kterým se může počítač nakazit.</translation>
</message>
<message>
<source>Wallet encryption failed</source>
<translation>Zašifrování peněženky selhalo</translation>
</message>
<message>
<source>Wallet encryption failed due to an internal error. Your wallet was not encrypted.</source>
<translation>Zašifrování peněženky selhalo kvůli vnitřní chybě. Tvá peněženka tedy nebyla zašifrována.</translation>
</message>
<message>
<source>The supplied passphrases do not match.</source>
<translation>Zadaná hesla nejsou shodná.</translation>
</message>
<message>
<source>Wallet unlock failed</source>
<translation>Nepodařilo se odemknout peněženku</translation>
</message>
<message>
<source>The passphrase entered for the wallet decryption was incorrect.</source>
<translation>Nezadal jsi správné heslo pro dešifrování peněženky.</translation>
</message>
<message>
<source>Wallet decryption failed</source>
<translation>Nepodařilo se dešifrovat peněženku</translation>
</message>
<message>
<source>Wallet passphrase was successfully changed.</source>
<translation>Heslo k peněžence bylo v pořádku změněno.</translation>
</message>
</context>
<context>
<name>BitcoinGUI</name>
<message>
<source>Sign &message...</source>
<translation>Po&depiš zprávu...</translation>
</message>
<message>
<source>Synchronizing with network...</source>
<translation>Synchronizuji se se sítí...</translation>
</message>
<message>
<source>&Overview</source>
<translation>&Přehled</translation>
</message>
<message>
<source>Node</source>
<translation>Uzel</translation>
</message>
<message>
<source>Show general overview of wallet</source>
<translation>Zobraz celkový přehled peněženky</translation>
</message>
<message>
<source>&Transactions</source>
<translation>&Transakce</translation>
</message>
<message>
<source>Browse transaction history</source>
<translation>Procházej historii transakcí</translation>
</message>
<message>
<source>E&xit</source>
<translation>&Konec</translation>
</message>
<message>
<source>Quit application</source>
<translation>Ukonči aplikaci</translation>
</message>
<message>
<source>About &Qt</source>
<translation>O &Qt</translation>
</message>
<message>
<source>Show information about Qt</source>
<translation>Zobraz informace o Qt</translation>
</message>
<message>
<source>&Options...</source>
<translation>&Možnosti...</translation>
</message>
<message>
<source>&Encrypt Wallet...</source>
<translation>Zaši&fruj peněženku...</translation>
</message>
<message>
<source>&Backup Wallet...</source>
<translation>&Zazálohuj peněženku...</translation>
</message>
<message>
<source>&Change Passphrase...</source>
<translation>Změň &heslo...</translation>
</message>
<message>
<source>&Sending addresses...</source>
<translation>Od&esílací adresy...</translation>
</message>
<message>
<source>&Receiving addresses...</source>
<translation>Př&ijímací adresy...</translation>
</message>
<message>
<source>Open &URI...</source>
<translation>Načíst &URI...</translation>
</message>
<message>
<source>Bata Core client</source>
<translation>Bata Core klient</translation>
</message>
<message>
<source>Importing blocks from disk...</source>
<translation>Importuji bloky z disku...</translation>
</message>
<message>
<source>Reindexing blocks on disk...</source>
<translation>Vytvářím nový index bloků na disku...</translation>
</message>
<message>
<source>Send coins to a Bata address</source>
<translation>Pošli mince na Bataovou adresu</translation>
</message>
<message>
<source>Modify configuration options for Bata</source>
<translation>Uprav nastavení Batau</translation>
</message>
<message>
<source>Backup wallet to another location</source>
<translation>Zazálohuj peněženku na jiné místo</translation>
</message>
<message>
<source>Change the passphrase used for wallet encryption</source>
<translation>Změň heslo k šifrování peněženky</translation>
</message>
<message>
<source>&Debug window</source>
<translation>&Ladicí okno</translation>
</message>
<message>
<source>Open debugging and diagnostic console</source>
<translation>Otevři ladicí a diagnostickou konzoli</translation>
</message>
<message>
<source>&Verify message...</source>
<translation>&Ověř zprávu...</translation>
</message>
<message>
<source>Bata</source>
<translation>Bata</translation>
</message>
<message>
<source>Wallet</source>
<translation>Peněženka</translation>
</message>
<message>
<source>&Send</source>
<translation>&Pošli</translation>
</message>
<message>
<source>&Receive</source>
<translation>Při&jmi</translation>
</message>
<message>
<source>Show information about Bata Core</source>
<translation>Zobraz informace o Bata Core</translation>
</message>
<message>
<source>&Show / Hide</source>
<translation>&Zobraz/Skryj</translation>
</message>
<message>
<source>Show or hide the main Window</source>
<translation>Zobraz nebo skryj hlavní okno</translation>
</message>
<message>
<source>Encrypt the private keys that belong to your wallet</source>
<translation>Zašifruj soukromé klíče ve své peněžence</translation>
</message>
<message>
<source>Sign messages with your Bata addresses to prove you own them</source>
<translation>Podepiš zprávy svými Bataovými adresami, čímž prokážeš, že jsi jejich vlastníkem</translation>
</message>
<message>
<source>Verify messages to ensure they were signed with specified Bata addresses</source>
<translation>Ověř zprávy, aby ses ujistil, že byly podepsány danými Bataovými adresami</translation>
</message>
<message>
<source>&File</source>
<translation>&Soubor</translation>
</message>
<message>
<source>&Settings</source>
<translation>&Nastavení</translation>
</message>
<message>
<source>&Help</source>
<translation>Ná&pověda</translation>
</message>
<message>
<source>Tabs toolbar</source>
<translation>Panel s listy</translation>
</message>
<message>
<source>Bata Core</source>
<translation>Bata Core</translation>
</message>
<message>
<source>Request payments (generates QR codes and bata: URIs)</source>
<translation>Požaduj platby (generuje QR kódy a bata: URI)</translation>
</message>
<message>
<source>&About Bata Core</source>
<translation>O &Bata Core</translation>
</message>
<message>
<source>Show the list of used sending addresses and labels</source>
<translation>Ukaž seznam použitých odesílacích adres a jejich označení</translation>
</message>
<message>
<source>Show the list of used receiving addresses and labels</source>
<translation>Ukaž seznam použitých přijímacích adres a jejich označení</translation>
</message>
<message>
<source>Open a bata: URI or payment request</source>
<translation>Načti bata: URI nebo platební požadavek</translation>
</message>
<message>
<source>&Command-line options</source>
<translation>Ar&gumenty z příkazové řádky</translation>
</message>
<message>
<source>Show the Bata Core help message to get a list with possible Bata command-line options</source>
<translation>Seznam argumentů Batau pro příkazovou řádku získáš v nápovědě Batau Core</translation>
</message>
<message numerus="yes">
<source>%n active connection(s) to Bata network</source>
<translation><numerusform>%n aktivní spojení do Bataové sítě</numerusform><numerusform>%n aktivní spojení do Bataové sítě</numerusform><numerusform>%n aktivních spojení do Bataové sítě</numerusform></translation>
</message>
<message>
<source>No block source available...</source>
<translation>Není dostupný žádný zdroj bloků...</translation>
</message>
<message numerus="yes">
<source>%n hour(s)</source>
<translation><numerusform>%n hodinu</numerusform><numerusform>%n hodiny</numerusform><numerusform>%n hodin</numerusform></translation>
</message>
<message numerus="yes">
<source>%n day(s)</source>
<translation><numerusform>%n den</numerusform><numerusform>%n dny</numerusform><numerusform>%n dnů</numerusform></translation>
</message>
<message numerus="yes">
<source>%n week(s)</source>
<translation><numerusform>%n týden</numerusform><numerusform>%n týdny</numerusform><numerusform>%n týdnů</numerusform></translation>
</message>
<message>
<source>%1 and %2</source>
<translation>%1 a %2</translation>
</message>
<message numerus="yes">
<source>%n year(s)</source>
<translation><numerusform>%n rok</numerusform><numerusform>%n roky</numerusform><numerusform>%n roků</numerusform></translation>
</message>
<message>
<source>%1 behind</source>
<translation>Stahuji ještě bloky transakcí za poslední %1</translation>
</message>
<message>
<source>Last received block was generated %1 ago.</source>
<translation>Poslední stažený blok byl vygenerován %1 zpátky.</translation>
</message>
<message>
<source>Transactions after this will not yet be visible.</source>
<translation>Následné transakce ještě nebudou vidět.</translation>
</message>
<message>
<source>Error</source>
<translation>Chyba</translation>
</message>
<message>
<source>Warning</source>
<translation>Upozornění</translation>
</message>
<message>
<source>Information</source>
<translation>Informace</translation>
</message>
<message>
<source>Up to date</source>
<translation>Aktuální</translation>
</message>
<message numerus="yes">
<source>Processed %n blocks of transaction history.</source>
<translation><numerusform>Zpracován %n blok transakční historie.</numerusform><numerusform>Zpracovány %n bloky transakční historie.</numerusform><numerusform>Zpracováno %n bloků transakční historie.</numerusform></translation>
</message>
<message>
<source>Catching up...</source>
<translation>Stahuji...</translation>
</message>
<message>
<source>Sent transaction</source>
<translation>Odeslané transakce</translation>
</message>
<message>
<source>Incoming transaction</source>
<translation>Příchozí transakce</translation>
</message>
<message>
<source>Date: %1
Amount: %2
Type: %3
Address: %4
</source>
<translation>Datum: %1
Částka: %2
Typ: %3
Adresa: %4
</translation>
</message>
<message>
<source>Wallet is <b>encrypted</b> and currently <b>unlocked</b></source>
<translation>Peněženka je <b>zašifrovaná</b> a momentálně <b>odemčená</b></translation>
</message>
<message>
<source>Wallet is <b>encrypted</b> and currently <b>locked</b></source>
<translation>Peněženka je <b>zašifrovaná</b> a momentálně <b>zamčená</b></translation>
</message>
</context>
<context>
<name>ClientModel</name>
<message>
<source>Network Alert</source>
<translation>Upozornění sítě</translation>
</message>
</context>
<context>
<name>CoinControlDialog</name>
<message>
<source>Coin Selection</source>
<translation>Výběr mincí</translation>
</message>
<message>
<source>Quantity:</source>
<translation>Počet:</translation>
</message>
<message>
<source>Bytes:</source>
<translation>Bajtů:</translation>
</message>
<message>
<source>Amount:</source>
<translation>Částka:</translation>
</message>
<message>
<source>Priority:</source>
<translation>Priorita:</translation>
</message>
<message>
<source>Fee:</source>
<translation>Poplatek:</translation>
</message>
<message>
<source>Dust:</source>
<translation>Prach:</translation>
</message>
<message>
<source>After Fee:</source>
<translation>Čistá částka:</translation>
</message>
<message>
<source>Change:</source>
<translation>Drobné:</translation>
</message>
<message>
<source>(un)select all</source>
<translation>(od)označit všechny</translation>
</message>
<message>
<source>Tree mode</source>
<translation>Zobrazit jako strom</translation>
</message>
<message>
<source>List mode</source>
<translation>Vypsat jako seznam</translation>
</message>
<message>
<source>Amount</source>
<translation>Částka</translation>
</message>
<message>
<source>Received with label</source>
<translation>Příjem na označení</translation>
</message>
<message>
<source>Received with address</source>
<translation>Příjem na adrese</translation>
</message>
<message>
<source>Date</source>
<translation>Datum</translation>
</message>
<message>
<source>Confirmations</source>
<translation>Potvrzení</translation>
</message>
<message>
<source>Confirmed</source>
<translation>Potvrzeno</translation>
</message>
<message>
<source>Priority</source>
<translation>Priorita</translation>
</message>
<message>
<source>Copy address</source>
<translation>Kopíruj adresu</translation>
</message>
<message>
<source>Copy label</source>
<translation>Kopíruj její označení</translation>
</message>
<message>
<source>Copy amount</source>
<translation>Kopíruj částku</translation>
</message>
<message>
<source>Copy transaction ID</source>
<translation>Kopíruj ID transakce</translation>
</message>
<message>
<source>Lock unspent</source>
<translation>Zamkni neutracené</translation>
</message>
<message>
<source>Unlock unspent</source>
<translation>Odemkni k utracení</translation>
</message>
<message>
<source>Copy quantity</source>
<translation>Kopíruj počet</translation>
</message>
<message>
<source>Copy fee</source>
<translation>Kopíruj poplatek</translation>
</message>
<message>
<source>Copy after fee</source>
<translation>Kopíruj čistou částku</translation>
</message>
<message>
<source>Copy bytes</source>
<translation>Kopíruj bajty</translation>
</message>
<message>
<source>Copy priority</source>
<translation>Kopíruj prioritu</translation>
</message>
<message>
<source>Copy dust</source>
<translation>Kopíruj prach</translation>
</message>
<message>
<source>Copy change</source>
<translation>Kopíruj drobné</translation>
</message>
<message>
<source>highest</source>
<translation>nejvyšší</translation>
</message>
<message>
<source>higher</source>
<translation>vyšší</translation>
</message>
<message>
<source>high</source>
<translation>vysoká</translation>
</message>
<message>
<source>medium-high</source>
<translation>vyšší střední</translation>
</message>
<message>
<source>medium</source>
<translation>střední</translation>
</message>
<message>
<source>low-medium</source>
<translation>nižší střední</translation>
</message>
<message>
<source>low</source>
<translation>nízká</translation>
</message>
<message>
<source>lower</source>
<translation>nižší</translation>
</message>
<message>
<source>lowest</source>
<translation>nejnižší</translation>
</message>
<message>
<source>(%1 locked)</source>
<translation>(%1 zamčeno)</translation>
</message>
<message>
<source>none</source>
<translation>žádná</translation>
</message>
<message>
<source>Can vary +/- %1 satoshi(s) per input.</source>
<translation>Může se lišit o +/– %1 satoshi na každý vstup.</translation>
</message>
<message>
<source>yes</source>
<translation>ano</translation>
</message>
<message>
<source>no</source>
<translation>ne</translation>
</message>
<message>
<source>This label turns red, if the transaction size is greater than 1000 bytes.</source>
<translation>Popisek zčervená, pokud je velikost transakce větší než 1000 bajtů.</translation>
</message>
<message>
<source>This means a fee of at least %1 per kB is required.</source>
<translation>To znamená, že je vyžadován poplatek alespoň %1 za kB.</translation>
</message>
<message>
<source>Can vary +/- 1 byte per input.</source>
<translation>Může se lišit o +/– 1 bajt na každý vstup.</translation>
</message>
<message>
<source>Transactions with higher priority are more likely to get included into a block.</source>
<translation>Transakce s vyšší prioritou mají větší šanci na zařazení do bloku.</translation>
</message>
<message>
<source>This label turns red, if the priority is smaller than "medium".</source>
<translation>Popisek zčervená, pokud je priorita menší než „střední“.</translation>
</message>
<message>
<source>This label turns red, if any recipient receives an amount smaller than %1.</source>
<translation>Popisek zčervená, pokud má některý příjemce obdržet částku menší než %1.</translation>
</message>
<message>
<source>(no label)</source>
<translation>(bez označení)</translation>
</message>
<message>
<source>change from %1 (%2)</source>
<translation>drobné z %1 (%2)</translation>
</message>
<message>
<source>(change)</source>
<translation>(drobné)</translation>
</message>
</context>
<context>
<name>EditAddressDialog</name>
<message>
<source>Edit Address</source>
<translation>Uprav adresu</translation>
</message>
<message>
<source>&Label</source>
<translation>&Označení</translation>
</message>
<message>
<source>The label associated with this address list entry</source>
<translation>Označení spojené s tímto záznamem v seznamu adres</translation>
</message>
<message>
<source>The address associated with this address list entry. This can only be modified for sending addresses.</source>
<translation>Adresa spojená s tímto záznamem v seznamu adres. Lze upravovat jen pro odesílací adresy.</translation>
</message>
<message>
<source>&Address</source>
<translation>&Adresa</translation>
</message>
<message>
<source>New receiving address</source>
<translation>Nová přijímací adresa</translation>
</message>
<message>
<source>New sending address</source>
<translation>Nová odesílací adresa</translation>
</message>
<message>
<source>Edit receiving address</source>
<translation>Uprav přijímací adresu</translation>
</message>
<message>
<source>Edit sending address</source>
<translation>Uprav odesílací adresu</translation>
</message>
<message>
<source>The entered address "%1" is already in the address book.</source>
<translation>Zadaná adresa "%1" už v adresáři je.</translation>
</message>
<message>
<source>The entered address "%1" is not a valid Bata address.</source>
<translation>Zadaná adresa "%1" není platná Bataová adresa.</translation>
</message>
<message>
<source>Could not unlock wallet.</source>
<translation>Nemohu odemknout peněženku.</translation>
</message>
<message>
<source>New key generation failed.</source>
<translation>Nepodařilo se mi vygenerovat nový klíč.</translation>
</message>
</context>
<context>
<name>FreespaceChecker</name>
<message>
<source>A new data directory will be created.</source>
<translation>Vytvoří se nový adresář pro data.</translation>
</message>
<message>
<source>name</source>
<translation>název</translation>
</message>
<message>
<source>Directory already exists. Add %1 if you intend to create a new directory here.</source>
<translation>Adresář už existuje. Přidej %1, pokud tady chceš vytvořit nový adresář.</translation>
</message>
<message>
<source>Path already exists, and is not a directory.</source>
<translation>Taková cesta už existuje, ale není adresářem.</translation>
</message>
<message>
<source>Cannot create data directory here.</source>
<translation>Tady nemůžu vytvořit adresář pro data.</translation>
</message>
</context>
<context>
<name>HelpMessageDialog</name>
<message>
<source>Bata Core</source>
<translation>Bata Core</translation>
</message>
<message>
<source>version</source>
<translation>verze</translation>
</message>
<message>
<source>(%1-bit)</source>
<translation>(%1-bit)</translation>
</message>
<message>
<source>About Bata Core</source>
<translation>O Bata Core</translation>
</message>
<message>
<source>Command-line options</source>
<translation>Argumenty z příkazové řádky</translation>
</message>
<message>
<source>Usage:</source>
<translation>Užití:</translation>
</message>
<message>
<source>command-line options</source>
<translation>možnosti příkazové řádky</translation>
</message>
<message>
<source>UI options</source>
<translation>Možnosti UI</translation>
</message>
<message>
<source>Set language, for example "de_DE" (default: system locale)</source>
<translation>Nastavit jazyk, například "de_DE" (výchozí: systémové nastavení)</translation>
</message>
<message>
<source>Start minimized</source>
<translation>Nastartovat minimalizovaně</translation>
</message>
<message>
<source>Set SSL root certificates for payment request (default: -system-)</source>
<translation>Nastavit kořenové SSL certifikáty pro platební požadavky (výchozí: -system-)</translation>
</message>
<message>
<source>Show splash screen on startup (default: 1)</source>
<translation>Zobrazit startovací obrazovku (výchozí: 1)</translation>
</message>
<message>
<source>Choose data directory on startup (default: 0)</source>
<translation>Zvolit adresář pro data při startu (výchozí: 0)</translation>
</message>
</context>
<context>
<name>Intro</name>
<message>
<source>Welcome</source>
<translation>Vítej</translation>
</message>
<message>
<source>Welcome to Bata Core.</source>
<translation>Vítej v Bata Core.</translation>
</message>
<message>
<source>As this is the first time the program is launched, you can choose where Bata Core will store its data.</source>
<translation>Tohle je poprvé, co spouštíš Bata Core, takže si můžeš zvolit, kam bude ukládat svá data.</translation>
</message>
<message>
<source>Bata Core will download and store a copy of the Bata block chain. At least %1GB of data will be stored in this directory, and it will grow over time. The wallet will also be stored in this directory.</source>
<translation>Bata Core bude stahovat kopii řetězce bloků. Proto bude potřeba do tohoto adresáře uložit nejméně %1 GB dat – toto číslo bude navíc v průběhu času pomalu růst. Tvá peněženka bude rovněž uložena v tomto adresáři.</translation>
</message>
<message>
<source>Use the default data directory</source>
<translation>Použij výchozí adresář pro data</translation>
</message>
<message>
<source>Use a custom data directory:</source>
<translation>Použij tento adresář pro data:</translation>
</message>
<message>
<source>Bata Core</source>
<translation>Bata Core</translation>
</message>
<message>
<source>Error: Specified data directory "%1" cannot be created.</source>
<translation>Chyba: Nejde vytvořit požadovaný adresář pro data „%1“.</translation>
</message>
<message>
<source>Error</source>
<translation>Chyba</translation>
</message>
<message numerus="yes">
<source>%n GB of free space available</source>
<translation><numerusform>%n GB volného místa</numerusform><numerusform>%n GB volného místa</numerusform><numerusform>%n GB volného místa</numerusform></translation>
</message>
<message numerus="yes">
<source>(of %n GB needed)</source>
<translation><numerusform>(z potřebného %n GB)</numerusform><numerusform>(z potřebných %n GB)</numerusform><numerusform>(z potřebných %n GB)</numerusform></translation>
</message>
</context>
<context>
<name>OpenURIDialog</name>
<message>
<source>Open URI</source>
<translation>Načíst URI</translation>
</message>
<message>
<source>Open payment request from URI or file</source>
<translation>Načíst platební požadavek z URI nebo ze souboru</translation>
</message>
<message>
<source>URI:</source>
<translation>URI:</translation>
</message>
<message>
<source>Select payment request file</source>
<translation>Vyber soubor platebního požadavku</translation>
</message>
<message>
<source>Select payment request file to open</source>
<translation>Vyber soubor platebního požadavku k načtení</translation>
</message>
</context>
<context>
<name>OptionsDialog</name>
<message>
<source>Options</source>
<translation>Možnosti</translation>
</message>
<message>
<source>&Main</source>
<translation>&Hlavní</translation>
</message>
<message>
<source>Automatically start Bata after logging in to the system.</source>
<translation>Automaticky spustí Bata po přihlášení do systému.</translation>
</message>
<message>
<source>&Start Bata on system login</source>
<translation>S&pustit Bata po přihlášení do systému</translation>
</message>
<message>
<source>Size of &database cache</source>
<translation>Velikost &databázové cache</translation>
</message>
<message>
<source>MB</source>
<translation>MB</translation>
</message>
<message>
<source>Number of script &verification threads</source>
<translation>Počet vláken pro &verifikaci skriptů</translation>
</message>
<message>
<source>Accept connections from outside</source>
<translation>Přijímat spojení zvenčí</translation>
</message>
<message>
<source>Allow incoming connections</source>
<translation>Přijímat příchozí spojení</translation>
</message>
<message>
<source>IP address of the proxy (e.g. IPv4: 127.0.0.1 / IPv6: ::1)</source>
<translation>IP adresa proxy (např. IPv4: 127.0.0.1/IPv6: ::1)</translation>
</message>
<message>
<source>Third party URLs (e.g. a block explorer) that appear in the transactions tab as context menu items. %s in the URL is replaced by transaction hash. Multiple URLs are separated by vertical bar |.</source>
<translation>URL třetích stran (např. block exploreru), které se zobrazí v kontextovém menu v záložce Transakce. %s v URL se nahradí hashem transakce. Více URL odděl svislítkem |.</translation>
</message>
<message>
<source>Third party transaction URLs</source>
<translation>URL transakcí třetích stran</translation>
</message>
<message>
<source>Active command-line options that override above options:</source>
<translation>Aktivní argumenty z příkazové řádky, které přetloukly tato nastavení:</translation>
</message>
<message>
<source>Reset all client options to default.</source>
<translation>Vrátí všechny volby na výchozí hodnoty.</translation>
</message>
<message>
<source>&Reset Options</source>
<translation>&Obnovit nastavení</translation>
</message>
<message>
<source>&Network</source>
<translation>&Síť</translation>
</message>
<message>
<source>(0 = auto, <0 = leave that many cores free)</source>
<translation>(0 = automaticky, <0 = nechat daný počet jader volný, výchozí: 0)</translation>
</message>
<message>
<source>W&allet</source>
<translation>P&eněženka</translation>
</message>
<message>
<source>Expert</source>
<translation>Odborník</translation>
</message>
<message>
<source>Enable coin &control features</source>
<translation>Povolit ruční správu &mincí</translation>
</message>
<message>
<source>If you disable the spending of unconfirmed change, the change from a transaction cannot be used until that transaction has at least one confirmation. This also affects how your balance is computed.</source>
<translation>Pokud zakážeš utrácení ještě nepotvrzených drobných, nepůjde použít drobné z transakce, dokud nebude mít alespoň jedno potvrzení. Ovlivní to také výpočet stavu účtu.</translation>
</message>
<message>
<source>&Spend unconfirmed change</source>
<translation>&Utrácet i ještě nepotvrzené drobné</translation>
</message>
<message>
<source>Automatically open the Bata client port on the router. This only works when your router supports UPnP and it is enabled.</source>
<translation>Automaticky otevře potřebný port na routeru. Tohle funguje jen za předpokladu, že tvůj router podporuje UPnP a že je UPnP povolené.</translation>
</message>
<message>
<source>Map port using &UPnP</source>
<translation>Namapovat port přes &UPnP</translation>
</message>
<message>
<source>Connect to the Bata network through a SOCKS5 proxy.</source>
<translation>Připojí se do Bataové sítě přes SOCKS5 proxy.</translation>
</message>
<message>
<source>&Connect through SOCKS5 proxy (default proxy):</source>
<translation>&Připojit přes SOCKS5 proxy (výchozí proxy):</translation>
</message>
<message>
<source>Proxy &IP:</source>
<translation>&IP adresa proxy:</translation>
</message>
<message>
<source>&Port:</source>
<translation>Por&t:</translation>
</message>
<message>
<source>Port of the proxy (e.g. 9050)</source>
<translation>Port proxy (např. 9050)</translation>
</message>
<message>
<source>&Window</source>
<translation>O&kno</translation>
</message>
<message>
<source>Show only a tray icon after minimizing the window.</source>
<translation>Po minimalizaci okna zobrazí pouze ikonu v panelu.</translation>
</message>
<message>
<source>&Minimize to the tray instead of the taskbar</source>
<translation>&Minimalizovávat do ikony v panelu</translation>
</message>
<message>
<source>Minimize instead of exit the application when the window is closed. When this option is enabled, the application will be closed only after selecting Quit in the menu.</source>
<translation>Zavřením se aplikace minimalizuje. Pokud je tato volba zaškrtnuta, tak se aplikace ukončí pouze zvolením Konec v menu.</translation>
</message>
<message>
<source>M&inimize on close</source>
<translation>Za&vřením minimalizovat</translation>
</message>
<message>
<source>&Display</source>
<translation>Zobr&azení</translation>
</message>
<message>
<source>User Interface &language:</source>
<translation>&Jazyk uživatelského rozhraní:</translation>
</message>
<message>
<source>The user interface language can be set here. This setting will take effect after restarting Bata.</source>
<translation>Tady lze nastavit jazyk uživatelského rozhraní. Nastavení se projeví až po restartování Batau.</translation>
</message>
<message>
<source>&Unit to show amounts in:</source>
<translation>J&ednotka pro částky:</translation>
</message>
<message>
<source>Choose the default subdivision unit to show in the interface and when sending coins.</source>
<translation>Zvol výchozí podjednotku, která se bude zobrazovat v programu a při posílání mincí.</translation>
</message>
<message>
<source>Whether to show coin control features or not.</source>
<translation>Zda ukazovat možnosti pro ruční správu mincí nebo ne.</translation>
</message>
<message>
<source>&OK</source>
<translation>&Budiž</translation>
</message>
<message>
<source>&Cancel</source>
<translation>&Zrušit</translation>
</message>
<message>
<source>default</source>
<translation>výchozí</translation>
</message>
<message>
<source>none</source>
<translation>žádné</translation>
</message>
<message>
<source>Confirm options reset</source>
<translation>Potvrzení obnovení nastavení</translation>
</message>
<message>
<source>Client restart required to activate changes.</source>
<translation>K aktivaci změn je potřeba restartovat klienta.</translation>
</message>
<message>
<source>Client will be shutdown, do you want to proceed?</source>
<translation>Klient se vypne, chceš pokračovat?</translation>
</message>
<message>
<source>This change would require a client restart.</source>
<translation>Tahle změna bude chtít restartovat klienta.</translation>
</message>
<message>
<source>The supplied proxy address is invalid.</source>
<translation>Zadaná adresa proxy je neplatná.</translation>
</message>
</context>
<context>
<name>OverviewPage</name>
<message>
<source>Form</source>
<translation>Formulář</translation>
</message>
<message>
<source>The displayed information may be out of date. Your wallet automatically synchronizes with the Bata network after a connection is established, but this process has not completed yet.</source>
<translation>Zobrazené informace nemusí být aktuální. Tvá peněženka se automaticky sesynchronizuje s Bataovou sítí, jakmile se s ní spojí. Zatím ale ještě není synchronizace dokončena.</translation>
</message>
<message>
<source>Watch-only:</source>
<translation>Sledované:</translation>
</message>
<message>
<source>Available:</source>
<translation>K dispozici:</translation>
</message>
<message>
<source>Your current spendable balance</source>
<translation>Aktuální disponibilní stav tvého účtu</translation>
</message>
<message>
<source>Pending:</source>
<translation>Očekáváno:</translation>
</message>
<message>
<source>Total of transactions that have yet to be confirmed, and do not yet count toward the spendable balance</source>
<translation>Souhrn transakcí, které ještě nejsou potvrzené a které se ještě nezapočítávají do celkového disponibilního stavu účtu</translation>
</message>
<message>
<source>Immature:</source>
<translation>Nedozráno:</translation>
</message>
<message>
<source>Mined balance that has not yet matured</source>
<translation>Vytěžené mince, které ještě nejsou zralé</translation>
</message>
<message>
<source>Balances</source>
<translation>Stavy účtů</translation>
</message>
<message>
<source>Total:</source>
<translation>Celkem:</translation>
</message>
<message>
<source>Your current total balance</source>
<translation>Celkový stav tvého účtu</translation>
</message>
<message>
<source>Your current balance in watch-only addresses</source>
<translation>Aktuální stav účtu sledovaných adres</translation>
</message>
<message>
<source>Spendable:</source>
<translation>Běžné:</translation>
</message>
<message>
<source>Recent transactions</source>
<translation>Poslední transakce</translation>
</message>
<message>
<source>Unconfirmed transactions to watch-only addresses</source>
<translation>Nepotvrzené transakce sledovaných adres</translation>
</message>
<message>
<source>Mined balance in watch-only addresses that has not yet matured</source>
<translation>Vytěžené mince na sledovaných adresách, které ještě nejsou zralé</translation>
</message>
<message>
<source>Current total balance in watch-only addresses</source>
<translation>Aktuální stav účtu sledovaných adres</translation>
</message>
<message>
<source>out of sync</source>
<translation>nesynchronizováno</translation>
</message>
</context>
<context>
<name>PaymentServer</name>
<message>
<source>URI handling</source>
<translation>Zpracování URI</translation>
</message>
<message>
<source>Invalid payment address %1</source>
<translation>Neplatná platební adresa %1</translation>
</message>
<message>
<source>Payment request rejected</source>
<translation>Platební požadavek byl odmítnut</translation>
</message>
<message>
<source>Payment request network doesn't match client network.</source>
<translation>Síť platebního požadavku neodpovídá síti klienta.</translation>
</message>
<message>
<source>Payment request has expired.</source>
<translation>Platební požadavek vypršel.</translation>
</message>
<message>
<source>Payment request is not initialized.</source>
<translation>Platební požadavek není zahájený.</translation>
</message>
<message>
<source>Requested payment amount of %1 is too small (considered dust).</source>
<translation>Požadovaná platební částka %1 je příliš malá (je považována za prach).</translation>
</message>
<message>
<source>Payment request error</source>
<translation>Chyba platebního požadavku</translation>
</message>
<message>
<source>Cannot start bata: click-to-pay handler</source>
<translation>Nemůžu spustit bata: obsluha click-to-pay</translation>
</message>
<message>
<source>Payment request fetch URL is invalid: %1</source>
<translation>Zdrojová URL platebního požadavku není platná: %1</translation>
</message>
<message>
<source>URI cannot be parsed! This can be caused by an invalid Bata address or malformed URI parameters.</source>
<translation>Nepodařilo se analyzovat URI! Důvodem může být neplatná Bataová adresa nebo poškozené parametry URI.</translation>
</message>
<message>
<source>Payment request file handling</source>
<translation>Zpracování souboru platebního požadavku</translation>
</message>
<message>
<source>Payment request file cannot be read! This can be caused by an invalid payment request file.</source>
<translation>Soubor platebního požadavku nejde přečíst nebo zpracovat! Příčinou může být špatný soubor platebního požadavku.</translation>
</message>
<message>
<source>Unverified payment requests to custom payment scripts are unsupported.</source>
<translation>Neověřené platební požadavky k uživatelským platebním skriptům nejsou podporované.</translation>
</message>
<message>
<source>Refund from %1</source>
<translation>Vrácení peněz od %1</translation>
</message>
<message>
<source>Payment request %1 is too large (%2 bytes, allowed %3 bytes).</source>
<translation>Platební požadavek %1 je moc velký (%2 bajtů, povoleno %3 bajtů).</translation>
</message>
<message>
<source>Payment request DoS protection</source>
<translation>DoS ochrana platebního požadavku</translation>
</message>
<message>
<source>Error communicating with %1: %2</source>
<translation>Chyba při komunikaci s %1: %2</translation>
</message>
<message>
<source>Payment request cannot be parsed!</source>
<translation>Platební požadavek je nečitelný!</translation>
</message>
<message>
<source>Bad response from server %1</source>
<translation>Chybná odpověď ze serveru %1</translation>
</message>
<message>
<source>Payment acknowledged</source>
<translation>Platba potvrzena</translation>
</message>
<message>
<source>Network request error</source>
<translation>Chyba síťového požadavku</translation>
</message>
</context>
<context>
<name>PeerTableModel</name>
<message>
<source>User Agent</source>
<translation>Typ klienta</translation>
</message>
<message>
<source>Address/Hostname</source>
<translation>Adresa/Název hostitele</translation>
</message>
<message>
<source>Ping Time</source>
<translation>Odezva</translation>
</message>
</context>
<context>
<name>QObject</name>
<message>
<source>Amount</source>
<translation>Částka</translation>
</message>
<message>
<source>Enter a Bata address (e.g. %1)</source>
<translation>Zadej Bataovou adresu (např. %1)</translation>
</message>
<message>
<source>%1 d</source>
<translation>%1 d</translation>
</message>
<message>
<source>%1 h</source>
<translation>%1 h</translation>
</message>
<message>
<source>%1 m</source>
<translation>%1 m</translation>
</message>
<message>
<source>%1 s</source>
<translation>%1 s</translation>
</message>
<message>
<source>NETWORK</source>
<translation>SÍŤ</translation>
</message>
<message>
<source>UNKNOWN</source>
<translation>NEZNÁMÁ</translation>
</message>
<message>
<source>None</source>
<translation>Žádné</translation>
</message>
<message>
<source>N/A</source>
<translation>N/A</translation>
</message>
<message>
<source>%1 ms</source>
<translation>%1 ms</translation>
</message>
</context>
<context>
<name>QRImageWidget</name>
<message>
<source>&Save Image...</source>
<translation>&Ulož obrázek...</translation>
</message>
<message>
<source>&Copy Image</source>
<translation>&Kopíruj obrázek</translation>
</message>
<message>
<source>Save QR Code</source>
<translation>Ulož QR kód</translation>
</message>
<message>
<source>PNG Image (*.png)</source>
<translation>PNG obrázek (*.png)</translation>
</message>
</context>
<context>
<name>RPCConsole</name>
<message>
<source>Client name</source>
<translation>Název klienta</translation>
</message>
<message>
<source>N/A</source>
<translation>N/A</translation>
</message>
<message>
<source>Client version</source>
<translation>Verze klienta</translation>
</message>
<message>
<source>&Information</source>
<translation>&Informace</translation>
</message>
<message>
<source>Debug window</source>
<translation>Ladicí okno</translation>
</message>
<message>
<source>General</source>
<translation>Obecné</translation>
</message>
<message>
<source>Using OpenSSL version</source>
<translation>Používaná verze OpenSSL</translation>
</message>
<message>
<source>Using BerkeleyDB version</source>
<translation>Používaná verze BerkeleyDB</translation>
</message>
<message>
<source>Startup time</source>
<translation>Čas spuštění</translation>
</message>
<message>
<source>Network</source>
<translation>Síť</translation>
</message>
<message>
<source>Name</source>
<translation>Název</translation>
</message>
<message>
<source>Number of connections</source>
<translation>Počet spojení</translation>
</message>
<message>
<source>Block chain</source>
<translation>Řetězec bloků</translation>
</message>
<message>
<source>Current number of blocks</source>
<translation>Aktuální počet bloků</translation>
</message>
<message>
<source>Received</source>
<translation>Přijato</translation>
</message>
<message>
<source>Sent</source>
<translation>Odesláno</translation>
</message>
<message>
<source>&Peers</source>
<translation>&Protějšky</translation>
</message>
<message>
<source>Select a peer to view detailed information.</source>
<translation>Vyber protějšek a uvidíš jeho detailní informace.</translation>
</message>
<message>
<source>Direction</source>
<translation>Směr</translation>
</message>
<message>
<source>Version</source>
<translation>Verze</translation>
</message>
<message>
<source>User Agent</source>
<translation>Typ klienta</translation>
</message>
<message>
<source>Services</source>
<translation>Služby</translation>
</message>
<message>
<source>Starting Height</source>
<translation>Prvotní výška</translation>
</message>
<message>
<source>Sync Height</source>
<translation>Aktuální výška</translation>
</message>
<message>
<source>Ban Score</source>
<translation>Skóre pro klatbu</translation>
</message>
<message>
<source>Connection Time</source>
<translation>Doba spojení</translation>
</message>
<message>
<source>Last Send</source>
<translation>Poslední odeslání</translation>
</message>
<message>
<source>Last Receive</source>
<translation>Poslední příjem</translation>
</message>
<message>
<source>Bytes Sent</source>
<translation>Bajtů odesláno</translation>
</message>
<message>
<source>Bytes Received</source>
<translation>Bajtů přijato</translation>
</message>
<message>
<source>Ping Time</source>
<translation>Odezva</translation>
</message>
<message>
<source>Last block time</source>
<translation>Čas posledního bloku</translation>
</message>
<message>
<source>&Open</source>
<translation>&Otevřít</translation>
</message>
<message>
<source>&Console</source>
<translation>&Konzole</translation>
</message>
<message>
<source>&Network Traffic</source>
<translation>&Síťový provoz</translation>
</message>
<message>
<source>&Clear</source>
<translation>&Vyčistit</translation>
</message>
<message>
<source>Totals</source>
<translation>Součty</translation>
</message>
<message>
<source>In:</source>
<translation>Sem:</translation>
</message>
<message>
<source>Out:</source>
<translation>Ven:</translation>
</message>
<message>
<source>Build date</source>
<translation>Datum kompilace</translation>
</message>
<message>
<source>Debug log file</source>
<translation>Soubor s ladicími záznamy</translation>
</message>
<message>
<source>Open the Bata debug log file from the current data directory. This can take a few seconds for large log files.</source>
<translation>Otevři soubor s ladicími záznamy Batau z aktuálního datového adresáře. U velkých logů to může pár vteřin zabrat.</translation>
</message>
<message>
<source>Clear console</source>
<translation>Vyčistit konzoli</translation>
</message>
<message>
<source>Welcome to the Bata RPC console.</source>
<translation>Vítej v Bataové RPC konzoli.</translation>
</message>
<message>
<source>Use up and down arrows to navigate history, and <b>Ctrl-L</b> to clear screen.</source>
<translation>V historii se pohybuješ šipkami nahoru a dolů a pomocí <b>Ctrl-L</b> čistíš obrazovku.</translation>
</message>
<message>
<source>Type <b>help</b> for an overview of available commands.</source>
<translation>Napsáním <b>help</b> si vypíšeš přehled dostupných příkazů.</translation>
</message>
<message>
<source>%1 B</source>
<translation>%1 B</translation>
</message>
<message>
<source>%1 KB</source>
<translation>%1 kB</translation>
</message>
<message>
<source>%1 MB</source>
<translation>%1 MB</translation>
</message>
<message>
<source>%1 GB</source>
<translation>%1 GB</translation>
</message>
<message>
<source>via %1</source>
<translation>via %1</translation>
</message>
<message>
<source>never</source>
<translation>nikdy</translation>
</message>
<message>
<source>Inbound</source>
<translation>Sem</translation>
</message>
<message>
<source>Outbound</source>
<translation>Ven</translation>
</message>
<message>
<source>Unknown</source>
<translation>Neznámá</translation>
</message>
<message>
<source>Fetching...</source>
<translation>Stahuji...</translation>
</message>
</context>
<context>
<name>ReceiveCoinsDialog</name>
<message>
<source>&Amount:</source>
<translation>Čás&tka:</translation>
</message>
<message>
<source>&Label:</source>
<translation>&Označení:</translation>
</message>
<message>
<source>&Message:</source>
<translation>&Zpráva:</translation>
</message>
<message>
<source>Reuse one of the previously used receiving addresses. Reusing addresses has security and privacy issues. Do not use this unless re-generating a payment request made before.</source>
<translation>Recyklovat již dříve použité adresy. Recyklace adres má bezpečnostní rizika a narušuje soukromí. Nezaškrtávejte to, pokud znovu nevytváříte již dříve vytvořený platební požadavek.</translation>
</message>
<message>
<source>R&euse an existing receiving address (not recommended)</source>
<translation>&Recyklovat již existující adresy (nedoporučeno)</translation>
</message>
<message>
<source>An optional message to attach to the payment request, which will be displayed when the request is opened. Note: The message will not be sent with the payment over the Bata network.</source>
<translation>Volitelná zpráva, která se připojí k platebnímu požadavku a která se zobrazí, když se požadavek otevře. Poznámka: Tahle zpráva se neposílá s platbou po Bataové síti.</translation>
</message>
<message>
<source>An optional label to associate with the new receiving address.</source>
<translation>Volitelné označení, které se má přiřadit k nové adrese.</translation>
</message>
<message>
<source>Use this form to request payments. All fields are <b>optional</b>.</source>
<translation>Tímto formulář můžeš požadovat platby. Všechna pole jsou <b>volitelná</b>.</translation>
</message>
<message>
<source>An optional amount to request. Leave this empty or zero to not request a specific amount.</source>
<translation>Volitelná částka, kterou požaduješ. Nech prázdné nebo nulové, pokud nepožaduješ konkrétní částku.</translation>
</message>
<message>
<source>Clear all fields of the form.</source>
<translation>Promaž obsah ze všech formulářových políček.</translation>
</message>
<message>
<source>Clear</source>
<translation>Vyčistit</translation>
</message>
<message>
<source>Requested payments history</source>
<translation>Historie vyžádaných plateb</translation>
</message>
<message>
<source>&Request payment</source>
<translation>&Vyžádat platbu</translation>
</message>
<message>
<source>Show the selected request (does the same as double clicking an entry)</source>
<translation>Zobraz zvolený požadavek (stejně tak můžeš přímo na něj dvakrát poklepat)</translation>
</message>
<message>
<source>Show</source>
<translation>Zobrazit</translation>
</message>
<message>
<source>Remove the selected entries from the list</source>
<translation>Smaž zvolené požadavky ze seznamu</translation>
</message>
<message>
<source>Remove</source>
<translation>Smazat</translation>
</message>
<message>
<source>Copy label</source>
<translation>Kopíruj její označení</translation>
</message>
<message>
<source>Copy message</source>
<translation>Kopíruj zprávu</translation>
</message>
<message>
<source>Copy amount</source>
<translation>Kopíruj částku</translation>
</message>
</context>
<context>
<name>ReceiveRequestDialog</name>
<message>
<source>QR Code</source>
<translation>QR kód</translation>
</message>
<message>
<source>Copy &URI</source>
<translation>&Kopíruj URI</translation>
</message>
<message>
<source>Copy &Address</source>
<translation>Kopíruj &adresu</translation>
</message>
<message>
<source>&Save Image...</source>
<translation>&Ulož obrázek...</translation>
</message>
<message>
<source>Request payment to %1</source>
<translation>Platební požadavek: %1</translation>
</message>
<message>
<source>Payment information</source>
<translation>Informace o platbě</translation>
</message>
<message>
<source>URI</source>
<translation>URI</translation>
</message>
<message>
<source>Address</source>
<translation>Adresa</translation>
</message>
<message>
<source>Amount</source>
<translation>Částka</translation>
</message>
<message>
<source>Label</source>
<translation>Označení</translation>
</message>
<message>
<source>Message</source>
<translation>Zpráva</translation>
</message>
<message>
<source>Resulting URI too long, try to reduce the text for label / message.</source>
<translation>Výsledná URI je příliš dlouhá, zkus zkrátit text označení/zprávy.</translation>
</message>
<message>
<source>Error encoding URI into QR Code.</source>
<translation>Chyba při kódování URI do QR kódu.</translation>
</message>
</context>
<context>
<name>RecentRequestsTableModel</name>
<message>
<source>Date</source>
<translation>Datum</translation>
</message>
<message>
<source>Label</source>
<translation>Označení</translation>
</message>
<message>
<source>Message</source>
<translation>Zpráva</translation>
</message>
<message>
<source>Amount</source>
<translation>Částka</translation>
</message>
<message>
<source>(no label)</source>
<translation>(bez označení)</translation>
</message>
<message>
<source>(no message)</source>
<translation>(bez zprávy)</translation>
</message>
<message>
<source>(no amount)</source>
<translation>(bez částky)</translation>
</message>
</context>
<context>
<name>SendCoinsDialog</name>
<message>
<source>Send Coins</source>
<translation>Pošli mince</translation>
</message>
<message>
<source>Coin Control Features</source>
<translation>Možnosti ruční správy mincí</translation>
</message>
<message>
<source>Inputs...</source>
<translation>Vstupy...</translation>
</message>
<message>
<source>automatically selected</source>
<translation>automaticky vybrané</translation>
</message>
<message>
<source>Insufficient funds!</source>
<translation>Nedostatek prostředků!</translation>
</message>
<message>
<source>Quantity:</source>
<translation>Počet:</translation>
</message>
<message>
<source>Bytes:</source>
<translation>Bajtů:</translation>
</message>
<message>
<source>Amount:</source>
<translation>Částka:</translation>
</message>
<message>
<source>Priority:</source>
<translation>Priorita:</translation>
</message>
<message>
<source>Fee:</source>
<translation>Poplatek:</translation>
</message>
<message>
<source>After Fee:</source>
<translation>Čistá částka:</translation>
</message>
<message>
<source>Change:</source>
<translation>Drobné:</translation>
</message>
<message>
<source>If this is activated, but the change address is empty or invalid, change will be sent to a newly generated address.</source>
<translation>Pokud aktivováno, ale adresa pro drobné je prázdná nebo neplatná, tak se drobné pošlou na nově vygenerovanou adresu.</translation>
</message>
<message>
<source>Custom change address</source>
<translation>Vlastní adresa pro drobné</translation>
</message>
<message>
<source>Transaction Fee:</source>
<translation>Transakční poplatek:</translation>
</message>
<message>
<source>Choose...</source>
<translation>Zvol...</translation>
</message>
<message>
<source>collapse fee-settings</source>
<translation>sbal nastavení poplatků</translation>
</message>
<message>
<source>Minimize</source>
<translation>Skryj</translation>
</message>
<message>
<source>If the custom fee is set to 1000 satoshis and the transaction is only 250 bytes, then "per kilobyte" only pays 250 satoshis in fee, while "at least" pays 1000 satoshis. For transactions bigger than a kilobyte both pay by kilobyte.</source>
<translation>Pokud je vlastní poplatek nastavený na 1000 satoshi a transakce má pouze 250 bajtů, tak „za kilobajt“ zaplatí poplatek jen 250 satoshi, zatímco „přinejmenším“ zaplatí 1000 satoshi. Pro transakce větší než kilobajt obě možnosti platí za kilobajt.</translation>
</message>
<message>
<source>per kilobyte</source>
<translation>za kilobajt</translation>
</message>
<message>
<source>If the custom fee is set to 1000 satoshis and the transaction is only 250 bytes, then "per kilobyte" only pays 250 satoshis in fee, while "total at least" pays 1000 satoshis. For transactions bigger than a kilobyte both pay by kilobyte.</source>
<translation>Pokud je vlastní poplatek nastavený na 1000 satoshi a transakce má pouze 250 bajtů, tak „za kilobajt“ zaplatí poplatek jen 250 satoshi, zatímco „přinejmenším“ zaplatí 1000 satoshi. Pro transakce větší než kilobajt obě možnosti platí za kilobajt.</translation>
</message>
<message>
<source>total at least</source>
<translation>přinejmenším</translation>
</message>
<message>
<source>Paying only the minimum fee is just fine as long as there is less transaction volume than space in the blocks. But be aware that this can end up in a never confirming transaction once there is more demand for bata transactions than the network can process.</source>
<translation>Platit jen minimální poplatek je v pořádku, pokud je zrovna méně transakcí než místa v blocích. Ale počítej s tím, že to také může skončit transakcí, která nikdy nebude potvrzena, pokud je větší poptávka po bataových transakcích, než síť zvládne zpracovat.</translation>
</message>
<message>
<source>(read the tooltip)</source>
<translation>(viz bublina)</translation>
</message>
<message>
<source>Recommended:</source>
<translation>Doporučený:</translation>
</message>
<message>
<source>Custom:</source>
<translation>Vlastní:</translation>
</message>
<message>
<source>(Smart fee not initialized yet. This usually takes a few blocks...)</source>
<translation>(Inteligentní poplatek ještě není inicializovaný. Obvykle mu to tak pár bloků trvá...)</translation>
</message>
<message>
<source>Confirmation time:</source>
<translation>Rychlost potvrzení:</translation>
</message>
<message>
<source>normal</source>
<translation>normální</translation>
</message>
<message>
<source>fast</source>
<translation>rychlá</translation>
</message>
<message>
<source>Send as zero-fee transaction if possible</source>
<translation>Pošli transakci pokud možno bez poplatku</translation>
</message>
<message>
<source>(confirmation may take longer)</source>
<translation>(potvrzení může trvat déle)</translation>
</message>
<message>
<source>Send to multiple recipients at once</source>
<translation>Pošli více příjemcům naráz</translation>
</message>
<message>
<source>Add &Recipient</source>
<translation>Při&dej příjemce</translation>
</message>
<message>
<source>Clear all fields of the form.</source>
<translation>Promaž obsah ze všech formulářových políček.</translation>
</message>
<message>
<source>Dust:</source>
<translation>Prach:</translation>
</message>
<message>
<source>Clear &All</source>
<translation>Všechno s&maž</translation>
</message>
<message>
<source>Balance:</source>
<translation>Stav účtu:</translation>
</message>
<message>
<source>Confirm the send action</source>
<translation>Potvrď odeslání</translation>
</message>
<message>
<source>S&end</source>
<translation>P&ošli</translation>
</message>
<message>
<source>Confirm send coins</source>
<translation>Potvrď odeslání mincí</translation>
</message>
<message>
<source>%1 to %2</source>
<translation>%1 pro %2</translation>
</message>
<message>
<source>Copy quantity</source>
<translation>Kopíruj počet</translation>
</message>
<message>
<source>Copy amount</source>
<translation>Kopíruj částku</translation>
</message>
<message>
<source>Copy fee</source>
<translation>Kopíruj poplatek</translation>
</message>
<message>
<source>Copy after fee</source>
<translation>Kopíruj čistou částku</translation>
</message>
<message>
<source>Copy bytes</source>
<translation>Kopíruj bajty</translation>
</message>
<message>
<source>Copy priority</source>
<translation>Kopíruj prioritu</translation>
</message>
<message>
<source>Copy change</source>
<translation>Kopíruj drobné</translation>
</message>
<message>
<source>or</source>
<translation>nebo</translation>
</message>
<message>
<source>The recipient address is not valid, please recheck.</source>
<translation>Adresa příjemce je neplatná, překontroluj ji prosím.</translation>
</message>
<message>
<source>The amount to pay must be larger than 0.</source>
<translation>Odesílaná částka musí být větší než 0.</translation>
</message>
<message>
<source>The amount exceeds your balance.</source>
<translation>Částka překračuje stav účtu.</translation>
</message>
<message>
<source>The total exceeds your balance when the %1 transaction fee is included.</source>
<translation>Celková částka při připočítání poplatku %1 překročí stav účtu.</translation>
</message>
<message>
<source>Duplicate address found, can only send to each address once per send operation.</source>
<translation>Zaznamenána duplikovaná adresa; každá adresa může být v odesílané platbě pouze jednou.</translation>
</message>
<message>
<source>Transaction creation failed!</source>
<translation>Vytvoření transakce selhalo!</translation>
</message>
<message>
<source>The transaction was rejected! This might happen if some of the coins in your wallet were already spent, such as if you used a copy of wallet.dat and coins were spent in the copy but not marked as spent here.</source>
<translation>Transakce byla odmítnuta! Tohle může nastat, pokud nějaké mince z tvé peněženky už jednou byly utraceny, například pokud používáš kopii souboru wallet.dat a mince byly utraceny v druhé kopii, ale nebyly označeny jako utracené v této.</translation>
</message>
<message>
<source>Warning: Invalid Bata address</source>
<translation>Upozornění: Neplatná Bataová adresa</translation>
</message>
<message>
<source>(no label)</source>
<translation>(bez označení)</translation>
</message>
<message>
<source>Warning: Unknown change address</source>
<translation>Upozornění: Neznámá adresa pro drobné</translation>
</message>
<message>
<source>Copy dust</source>
<translation>Kopíruj prach</translation>
</message>
<message>
<source>Are you sure you want to send?</source>
<translation>Jsi si jistý, že to chceš poslat?</translation>
</message>
<message>
<source>added as transaction fee</source>
<translation>přidán jako transakční poplatek</translation>
</message>
</context>
<context>
<name>SendCoinsEntry</name>
<message>
<source>A&mount:</source>
<translation>Čás&tka:</translation>
</message>
<message>
<source>Pay &To:</source>
<translation>&Komu:</translation>
</message>
<message>
<source>Enter a label for this address to add it to your address book</source>
<translation>Zadej označení této adresy; obojí se ti pak uloží do adresáře</translation>
</message>
<message>
<source>&Label:</source>
<translation>O&značení:</translation>
</message>
<message>
<source>Choose previously used address</source>
<translation>Vyber již použitou adresu</translation>
</message>
<message>
<source>This is a normal payment.</source>
<translation>Tohle je normální platba.</translation>
</message>
<message>
<source>The Bata address to send the payment to</source>
<translation>Bataová adresa příjemce</translation>
</message>
<message>
<source>Alt+A</source>
<translation>Alt+A</translation>
</message>
<message>
<source>Paste address from clipboard</source>
<translation>Vlož adresu ze schránky</translation>
</message>
<message>
<source>Alt+P</source>
<translation>Alt+P</translation>
</message>
<message>
<source>Remove this entry</source>
<translation>Smaž tento záznam</translation>
</message>
<message>
<source>Message:</source>
<translation>Zpráva:</translation>
</message>
<message>
<source>This is a verified payment request.</source>
<translation>Tohle je ověřený platební požadavek.</translation>
</message>
<message>
<source>Enter a label for this address to add it to the list of used addresses</source>
<translation>Zadej označení této adresy; obojí se ti pak uloží do adresáře</translation>
</message>
<message>
<source>A message that was attached to the bata: URI which will be stored with the transaction for your reference. Note: This message will not be sent over the Bata network.</source>
<translation>Zpráva, která byla připojena k bata: URI a která se ti pro přehled uloží k transakci. Poznámka: Tahle zpráva se neposílá s platbou po Bataové síti.</translation>
</message>
<message>
<source>This is an unverified payment request.</source>
<translation>Tohle je neověřený platební požadavek.</translation>
</message>
<message>
<source>Pay To:</source>
<translation>Komu:</translation>
</message>
<message>
<source>Memo:</source>
<translation>Poznámka:</translation>
</message>
</context>
<context>
<name>ShutdownWindow</name>
<message>
<source>Bata Core is shutting down...</source>
<translation>Bata Core se ukončuje...</translation>
</message>
<message>
<source>Do not shut down the computer until this window disappears.</source>
<translation>Nevypínej počítač, dokud toto okno nezmizí.</translation>
</message>
</context>
<context>
<name>SignVerifyMessageDialog</name>
<message>
<source>Signatures - Sign / Verify a Message</source>
<translation>Podpisy - podepsat/ověřit zprávu</translation>
</message>
<message>
<source>&Sign Message</source>
<translation>&Podepiš zprávu</translation>
</message>
<message>
<source>You can sign messages with your addresses to prove you own them. Be careful not to sign anything vague, as phishing attacks may try to trick you into signing your identity over to them. Only sign fully-detailed statements you agree to.</source>
<translation>Podepsáním zprávy svými adresami můžeš prokázat, že je skutečně vlastníš. Buď opatrný a nepodepisuj nic vágního; například při phishingových útocích můžeš být lákán, abys něco takového podepsal. Podepisuj pouze zcela úplná a detailní prohlášení, se kterými souhlasíš.</translation>
</message>
<message>
<source>The Bata address to sign the message with</source>
<translation>Bataová adresa, kterou se zpráva podepíše</translation>
</message>
<message>
<source>Choose previously used address</source>
<translation>Vyber již použitou adresu</translation>
</message>
<message>
<source>Alt+A</source>
<translation>Alt+A</translation>
</message>
<message>
<source>Paste address from clipboard</source>
<translation>Vlož adresu ze schránky</translation>
</message>
<message>
<source>Alt+P</source>
<translation>Alt+P</translation>
</message>
<message>
<source>Enter the message you want to sign here</source>
<translation>Sem vepiš zprávu, kterou chceš podepsat</translation>
</message>
<message>
<source>Signature</source>
<translation>Podpis</translation>
</message>
<message>
<source>Copy the current signature to the system clipboard</source>
<translation>Zkopíruj aktuálně vybraný podpis do systémové schránky</translation>
</message>
<message>
<source>Sign the message to prove you own this Bata address</source>
<translation>Podepiš zprávu, čímž prokážeš, že jsi vlastníkem této Bataové adresy</translation>
</message>
<message>
<source>Sign &Message</source>
<translation>Po&depiš zprávu</translation>
</message>
<message>
<source>Reset all sign message fields</source>
<translation>Vymaž všechna pole formuláře pro podepsání zrávy</translation>
</message>
<message>
<source>Clear &All</source>
<translation>Všechno &smaž</translation>
</message>
<message>
<source>&Verify Message</source>
<translation>&Ověř zprávu</translation>
</message>
<message>
<source>Enter the signing address, message (ensure you copy line breaks, spaces, tabs, etc. exactly) and signature below to verify the message. Be careful not to read more into the signature than what is in the signed message itself, to avoid being tricked by a man-in-the-middle attack.</source>
<translation>K ověření podpisu zprávy zadej podepisující adresu, zprávu (ověř si, že správně kopíruješ zalomení řádků, mezery, tabulátory apod.) a podpis. Dávej pozor na to, abys nezkopíroval do podpisu víc, než co je v samotné podepsané zprávě, abys nebyl napálen man-in-the-middle útokem.</translation>
</message>
<message>
<source>The Bata address the message was signed with</source>
<translation>Bataová adresa, kterou je zpráva podepsána</translation>
</message>
<message>
<source>Verify the message to ensure it was signed with the specified Bata address</source>
<translation>Ověř zprávu, aby ses ujistil, že byla podepsána danou Bataovou adresou</translation>
</message>
<message>
<source>Verify &Message</source>
<translation>O&věř zprávu</translation>
</message>
<message>
<source>Reset all verify message fields</source>
<translation>Vymaž všechna pole formuláře pro ověření zrávy</translation>
</message>
<message>
<source>Click "Sign Message" to generate signature</source>
<translation>Kliknutím na "Podepiš zprávu" vygeneruješ podpis</translation>
</message>
<message>
<source>The entered address is invalid.</source>
<translation>Zadaná adresa je neplatná.</translation>
</message>
<message>
<source>Please check the address and try again.</source>
<translation>Zkontroluj ji prosím a zkus to pak znovu.</translation>
</message>
<message>
<source>The entered address does not refer to a key.</source>
<translation>Zadaná adresa nepasuje ke klíči.</translation>
</message>
<message>
<source>Wallet unlock was cancelled.</source>
<translation>Odemčení peněženky bylo zrušeno.</translation>
</message>
<message>
<source>Private key for the entered address is not available.</source>
<translation>Soukromý klíč pro zadanou adresu není dostupný.</translation>
</message>
<message>
<source>Message signing failed.</source>
<translation>Nepodařilo se podepsat zprávu.</translation>
</message>
<message>
<source>Message signed.</source>
<translation>Zpráv podepsána.</translation>
</message>
<message>
<source>The signature could not be decoded.</source>
<translation>Podpis nejde dekódovat.</translation>
</message>
<message>
<source>Please check the signature and try again.</source>
<translation>Zkontroluj ho prosím a zkus to pak znovu.</translation>
</message>
<message>
<source>The signature did not match the message digest.</source>
<translation>Podpis se neshoduje s hašem zprávy.</translation>
</message>
<message>
<source>Message verification failed.</source>
<translation>Nepodařilo se ověřit zprávu.</translation>
</message>
<message>
<source>Message verified.</source>
<translation>Zpráva ověřena.</translation>
</message>
</context>
<context>
<name>SplashScreen</name>
<message>
<source>Bata Core</source>
<translation>Bata Core</translation>
</message>
<message>
<source>The Bitcoin Core developers</source>
<translation>Vývojáři Bitcoin Core</translation>
</message>
<message>
<source>[testnet]</source>
<translation>[testnet]</translation>
</message>
</context>
<context>
<name>TrafficGraphWidget</name>
<message>
<source>KB/s</source>
<translation>kB/s</translation>
</message>
</context>
<context>
<name>TransactionDesc</name>
<message>
<source>Open until %1</source>
<translation>Otřevřeno dokud %1</translation>
</message>
<message>
<source>conflicted</source>
<translation>kolidující</translation>
</message>
<message>
<source>%1/offline</source>
<translation>%1/offline</translation>
</message>
<message>
<source>%1/unconfirmed</source>
<translation>%1/nepotvrzeno</translation>
</message>
<message>
<source>%1 confirmations</source>
<translation>%1 potvrzení</translation>
</message>
<message>
<source>Status</source>
<translation>Stav</translation>
</message>
<message numerus="yes">
<source>, broadcast through %n node(s)</source>
<translation><numerusform>, rozesláno přes %n uzel</numerusform><numerusform>, rozesláno přes %n uzly</numerusform><numerusform>, rozesláno přes %n uzlů</numerusform></translation>
</message>
<message>
<source>Date</source>
<translation>Datum</translation>
</message>
<message>
<source>Source</source>
<translation>Zdroj</translation>
</message>
<message>
<source>Generated</source>
<translation>Vygenerováno</translation>
</message>
<message>
<source>From</source>
<translation>Od</translation>
</message>
<message>
<source>To</source>
<translation>Pro</translation>
</message>
<message>
<source>own address</source>
<translation>vlastní adresa</translation>
</message>
<message>
<source>watch-only</source>
<translation>sledovaná</translation>
</message>
<message>
<source>label</source>
<translation>označení</translation>
</message>
<message>
<source>Credit</source>
<translation>Příjem</translation>
</message>
<message numerus="yes">
<source>matures in %n more block(s)</source>
<translation><numerusform>dozraje po %n bloku</numerusform><numerusform>dozraje po %n blocích</numerusform><numerusform>dozraje po %n blocích</numerusform></translation>
</message>
<message>
<source>not accepted</source>
<translation>neakceptováno</translation>
</message>
<message>
<source>Debit</source>
<translation>Výdaj</translation>
</message>
<message>
<source>Total debit</source>
<translation>Celkové výdaje</translation>
</message>
<message>
<source>Total credit</source>
<translation>Celkové příjmy</translation>
</message>
<message>
<source>Transaction fee</source>
<translation>Transakční poplatek</translation>
</message>
<message>
<source>Net amount</source>
<translation>Čistá částka</translation>
</message>
<message>
<source>Message</source>
<translation>Zpráva</translation>
</message>
<message>
<source>Comment</source>
<translation>Komentář</translation>
</message>
<message>
<source>Transaction ID</source>
<translation>ID transakce</translation>
</message>
<message>
<source>Merchant</source>
<translation>Obchodník</translation>
</message>
<message>
<source>Generated coins must mature %1 blocks before they can be spent. When you generated this block, it was broadcast to the network to be added to the block chain. If it fails to get into the chain, its state will change to "not accepted" and it won't be spendable. This may occasionally happen if another node generates a block within a few seconds of yours.</source>
<translation>Vygenerované mince musí čekat %1 bloků, než mohou být utraceny. Když jsi vygeneroval tenhle blok, tak byl rozposlán do sítě, aby byl přidán do řetězce bloků. Pokud se mu nepodaří dostat se do řetězce, změní se na "neakceptovaný" a nepůjde utratit. To se občas může stát, pokud jiný uzel vygeneruje blok zhruba ve stejném okamžiku jako ty.</translation>
</message>
<message>
<source>Debug information</source>
<translation>Ladicí informace</translation>
</message>
<message>
<source>Transaction</source>
<translation>Transakce</translation>
</message>
<message>
<source>Inputs</source>
<translation>Vstupy</translation>
</message>
<message>
<source>Amount</source>
<translation>Částka</translation>
</message>
<message>
<source>true</source>
<translation>true</translation>
</message>
<message>
<source>false</source>
<translation>false</translation>
</message>
<message>
<source>, has not been successfully broadcast yet</source>
<translation>, ještě nebylo rozesláno</translation>
</message>
<message numerus="yes">
<source>Open for %n more block(s)</source>
<translation><numerusform>Otevřeno pro %n další blok</numerusform><numerusform>Otevřeno pro %n další bloky</numerusform><numerusform>Otevřeno pro %n dalších bloků</numerusform></translation>
</message>
<message>
<source>unknown</source>
<translation>neznámo</translation>
</message>
</context>
<context>
<name>TransactionDescDialog</name>
<message>
<source>Transaction details</source>
<translation>Detaily transakce</translation>
</message>
<message>
<source>This pane shows a detailed description of the transaction</source>
<translation>Toto okno zobrazuje detailní popis transakce</translation>
</message>
</context>
<context>
<name>TransactionTableModel</name>
<message>
<source>Date</source>
<translation>Datum</translation>
</message>
<message>
<source>Type</source>
<translation>Typ</translation>
</message>
<message>
<source>Address</source>
<translation>Adresa</translation>
</message>
<message>
<source>Immature (%1 confirmations, will be available after %2)</source>
<translation>Nedozráno (%1 potvrzení, bude k dispozici za %2)</translation>
</message>
<message numerus="yes">
<source>Open for %n more block(s)</source>
<translation><numerusform>Otevřeno pro %n další blok</numerusform><numerusform>Otevřeno pro %n další bloky</numerusform><numerusform>Otevřeno pro %n dalších bloků</numerusform></translation>
</message>
<message>
<source>Open until %1</source>
<translation>Otřevřeno dokud %1</translation>
</message>
<message>
<source>Confirmed (%1 confirmations)</source>
<translation>Potvrzeno (%1 potvrzení)</translation>
</message>
<message>
<source>This block was not received by any other nodes and will probably not be accepted!</source>
<translation>Tento blok nedostal žádný jiný uzel a pravděpodobně nebude akceptován!</translation>
</message>
<message>
<source>Generated but not accepted</source>
<translation>Vygenerováno, ale neakceptováno</translation>
</message>
<message>
<source>Offline</source>
<translation>Offline</translation>
</message>
<message>
<source>Unconfirmed</source>
<translation>Nepotvrzeno</translation>
</message>
<message>
<source>Confirming (%1 of %2 recommended confirmations)</source>
<translation>Potvrzuje se (%1 z %2 doporučených potvrzení)</translation>
</message>
<message>
<source>Conflicted</source>
<translation>V kolizi</translation>
</message>
<message>
<source>Received with</source>
<translation>Přijato do</translation>
</message>
<message>
<source>Received from</source>
<translation>Přijato od</translation>
</message>
<message>
<source>Sent to</source>
<translation>Posláno na</translation>
</message>
<message>
<source>Payment to yourself</source>
<translation>Platba sama sobě</translation>
</message>
<message>
<source>Mined</source>
<translation>Vytěženo</translation>
</message>
<message>
<source>watch-only</source>
<translation>sledovací</translation>
</message>
<message>
<source>(n/a)</source>
<translation>(n/a)</translation>
</message>
<message>
<source>Transaction status. Hover over this field to show number of confirmations.</source>
<translation>Stav transakce. Najetím myši na toto políčko si zobrazíš počet potvrzení.</translation>
</message>
<message>
<source>Date and time that the transaction was received.</source>
<translation>Datum a čas přijetí transakce.</translation>
</message>
<message>
<source>Type of transaction.</source>
<translation>Druh transakce.</translation>
</message>
<message>
<source>Whether or not a watch-only address is involved in this transaction.</source>
<translation>Zda tato transakce zahrnuje i některou sledovanou adresu.</translation>
</message>
<message>
<source>Destination address of transaction.</source>
<translation>Cílová adresa transakce.</translation>
</message>
<message>
<source>Amount removed from or added to balance.</source>
<translation>Částka odečtená z nebo přičtená k účtu.</translation>
</message>
</context>
<context>
<name>TransactionView</name>
<message>
<source>All</source>
<translation>Vše</translation>
</message>
<message>
<source>Today</source>
<translation>Dnes</translation>
</message>
<message>
<source>This week</source>
<translation>Tento týden</translation>
</message>
<message>
<source>This month</source>
<translation>Tento měsíc</translation>
</message>
<message>
<source>Last month</source>
<translation>Minulý měsíc</translation>
</message>
<message>
<source>This year</source>
<translation>Letos</translation>
</message>
<message>
<source>Range...</source>
<translation>Rozsah...</translation>
</message>
<message>
<source>Received with</source>
<translation>Přijato</translation>
</message>
<message>
<source>Sent to</source>
<translation>Posláno</translation>
</message>
<message>
<source>To yourself</source>
<translation>Sám sobě</translation>
</message>
<message>
<source>Mined</source>
<translation>Vytěženo</translation>
</message>
<message>
<source>Other</source>
<translation>Ostatní</translation>
</message>
<message>
<source>Enter address or label to search</source>
<translation>Zadej adresu nebo označení pro její vyhledání</translation>
</message>
<message>
<source>Min amount</source>
<translation>Minimální částka</translation>
</message>
<message>
<source>Copy address</source>
<translation>Kopíruj adresu</translation>
</message>
<message>
<source>Copy label</source>
<translation>Kopíruj její označení</translation>
</message>
<message>
<source>Copy amount</source>
<translation>Kopíruj částku</translation>
</message>
<message>
<source>Copy transaction ID</source>
<translation>Kopíruj ID transakce</translation>
</message>
<message>
<source>Edit label</source>
<translation>Uprav označení</translation>
</message>
<message>
<source>Show transaction details</source>
<translation>Zobraz detaily transakce</translation>
</message>
<message>
<source>Export Transaction History</source>
<translation>Exportuj transakční historii</translation>
</message>
<message>
<source>Watch-only</source>
<translation>Sledovaná</translation>
</message>
<message>
<source>Exporting Failed</source>
<translation>Exportování selhalo</translation>
</message>
<message>
<source>There was an error trying to save the transaction history to %1.</source>
<translation>Při ukládání transakční historie do %1 se přihodila nějaká chyba.</translation>
</message>
<message>
<source>Exporting Successful</source>
<translation>Úspěšně vyexportováno</translation>
</message>
<message>
<source>The transaction history was successfully saved to %1.</source>
<translation>Transakční historie byla v pořádku uložena do %1.</translation>
</message>
<message>
<source>Comma separated file (*.csv)</source>
<translation>CSV formát (*.csv)</translation>
</message>
<message>
<source>Confirmed</source>
<translation>Potvrzeno</translation>
</message>
<message>
<source>Date</source>
<translation>Datum</translation>
</message>
<message>
<source>Type</source>
<translation>Typ</translation>
</message>
<message>
<source>Label</source>
<translation>Označení</translation>
</message>
<message>
<source>Address</source>
<translation>Adresa</translation>
</message>
<message>
<source>ID</source>
<translation>ID</translation>
</message>
<message>
<source>Range:</source>
<translation>Rozsah:</translation>
</message>
<message>
<source>to</source>
<translation>až</translation>
</message>
</context>
<context>
<name>UnitDisplayStatusBarControl</name>
<message>
<source>Unit to show amounts in. Click to select another unit.</source>
<translation>Jednotka pro částky. Klikni pro výběr nějaké jiné.</translation>
</message>
</context>
<context>
<name>WalletFrame</name>
<message>
<source>No wallet has been loaded.</source>
<translation>Žádná peněženka se nenačetla.</translation>
</message>
</context>
<context>
<name>WalletModel</name>
<message>
<source>Send Coins</source>
<translation>Pošli mince</translation>
</message>
</context>
<context>
<name>WalletView</name>
<message>
<source>&Export</source>
<translation>&Export</translation>
</message>
<message>
<source>Export the data in the current tab to a file</source>
<translation>Exportuj data z tohoto panelu do souboru</translation>
</message>
<message>
<source>Backup Wallet</source>
<translation>Záloha peněženky</translation>
</message>
<message>
<source>Wallet Data (*.dat)</source>
<translation>Data peněženky (*.dat)</translation>
</message>
<message>
<source>Backup Failed</source>
<translation>Zálohování selhalo</translation>
</message>
<message>
<source>There was an error trying to save the wallet data to %1.</source>
<translation>Při ukládání peněženky do %1 se přihodila nějaká chyba.</translation>
</message>
<message>
<source>The wallet data was successfully saved to %1.</source>
<translation>Data z peněženky byla v pořádku uložena do %1.</translation>
</message>
<message>
<source>Backup Successful</source>
<translation>Úspěšně zazálohováno</translation>
</message>
</context>
<context>
<name>bitcoin-core</name>
<message>
<source>Options:</source>
<translation>Možnosti:</translation>
</message>
<message>
<source>Specify data directory</source>
<translation>Adresář pro data</translation>
</message>
<message>
<source>Connect to a node to retrieve peer addresses, and disconnect</source>
<translation>Připojit se k uzlu, získat adresy jeho protějšků a odpojit se</translation>
</message>
<message>
<source>Specify your own public address</source>
<translation>Specifikuj svou veřejnou adresu</translation>
</message>
<message>
<source>Accept command line and JSON-RPC commands</source>
<translation>Akceptovat příkazy z příkazové řádky a přes JSON-RPC</translation>
</message>
<message>
<source>Run in the background as a daemon and accept commands</source>
<translation>Běžet na pozadí jako démon a akceptovat příkazy</translation>
</message>
<message>
<source>Use the test network</source>
<translation>Použít testovací síť (testnet)</translation>
</message>
<message>
<source>Accept connections from outside (default: 1 if no -proxy or -connect)</source>
<translation>Přijímat spojení zvenčí (výchozí: 1, pokud není zadáno -proxy nebo -connect)</translation>
</message>
<message>
<source>Bind to given address and always listen on it. Use [host]:port notation for IPv6</source>
<translation>Poslouchat na zadané adrese. Pro zápis IPv6 adresy použij notaci [adresa]:port</translation>
</message>
<message>
<source>Delete all wallet transactions and only recover those parts of the blockchain through -rescan on startup</source>
<translation>Smazat všechny transakce peněženky a při startu obnovit pouze relevantní části řetězce bloků pomocí -rescan</translation>
</message>
<message>
<source>Distributed under the MIT software license, see the accompanying file COPYING or <http://www.opensource.org/licenses/mit-license.php>.</source>
<translation>Šířen pod softwarovou licencí MIT, viz přiložený soubor COPYING nebo <http://www.opensource.org/licenses/mit-license.php>.</translation>
</message>
<message>
<source>Enter regression test mode, which uses a special chain in which blocks can be solved instantly.</source>
<translation>Přepnout do módu testování regresí, který používá speciální řetězec, ve kterém mohou být bloky okamžitě vyřešeny.</translation>
</message>
<message>
<source>Execute command when a wallet transaction changes (%s in cmd is replaced by TxID)</source>
<translation>Spustit příkaz, když se objeví transakce týkající se peněženky (%s se v příkazu nahradí za TxID)</translation>
</message>
<message>
<source>In this mode -genproclimit controls how many blocks are generated immediately.</source>
<translation>V tomto módu -genproclimit určuje, kolik bloků je vygenerováno okamžitě.</translation>
</message>
<message>
<source>Set the number of script verification threads (%u to %d, 0 = auto, <0 = leave that many cores free, default: %d)</source>
<translation>Nastavení počtu vláken pro verifikaci skriptů (%u až %d, 0 = automaticky, <0 = nechat daný počet jader volný, výchozí: %d)</translation>
</message>
<message>
<source>This is a pre-release test build - use at your own risk - do not use for mining or merchant applications</source>
<translation>Tohle je testovací verze – používej ji jen na vlastní riziko, ale rozhodně ji nepoužívej k těžbě nebo pro obchodní aplikace</translation>
</message>
<message>
<source>Unable to bind to %s on this computer. Bata Core is probably already running.</source>
<translation>Nedaří se mi připojit na %s na tomhle počítači. Bata Core už pravděpodobně jednou běží.</translation>
</message>
<message>
<source>Warning: -paytxfee is set very high! This is the transaction fee you will pay if you send a transaction.</source>
<translation>Upozornění: -paytxfee je nastaveno velmi vysoko! Toto je transakční poplatek, který zaplatíš za každou poslanou transakci.</translation>
</message>
<message>
<source>Warning: The network does not appear to fully agree! Some miners appear to be experiencing issues.</source>
<translation>Upozornění: Síť podle všeho není v konzistentním stavu. Někteří těžaři jsou zřejmě v potížích.</translation>
</message>
<message>
<source>Warning: We do not appear to fully agree with our peers! You may need to upgrade, or other nodes may need to upgrade.</source>
<translation>Upozornění: Nesouhlasím zcela se svými protějšky! Možná potřebuji aktualizovat nebo ostatní uzly potřebují aktualizovat.</translation>
</message>
<message>
<source>Warning: error reading wallet.dat! All keys read correctly, but transaction data or address book entries might be missing or incorrect.</source>
<translation>Upozornění: nastala chyba při čtení souboru wallet.dat! Všechny klíče se přečetly správně, ale data o transakcích nebo záznamy v adresáři mohou chybět či být nesprávné.</translation>
</message>
<message>
<source>Warning: wallet.dat corrupt, data salvaged! Original wallet.dat saved as wallet.{timestamp}.bak in %s; if your balance or transactions are incorrect you should restore from a backup.</source>
<translation>Upozornění: soubor wallet.dat je poškozený, data jsou však zachráněna! Původní soubor wallet.dat je uložený jako wallet.{timestamp}.bak v %s. Pokud je stav tvého účtu nebo transakce nesprávné, zřejmě bys měl obnovit zálohu.</translation>
</message>
<message>
<source>Whitelist peers connecting from the given netmask or IP address. Can be specified multiple times.</source>
<translation>Umístit na bílou listinu protějšky připojující se z dané podsítě či IP adresy. Lze zadat i vícekrát.</translation>
</message>
<message>
<source>(default: 1)</source>
<translation>(výchozí: 1)</translation>
</message>
<message>
<source><category> can be:</source>
<translation><category> může být:</translation>
</message>
<message>
<source>Attempt to recover private keys from a corrupt wallet.dat</source>
<translation>Pokusit se zachránit soukromé klíče z poškozeného souboru wallet.dat</translation>
</message>
<message>
<source>Block creation options:</source>
<translation>Možnosti vytvoření bloku:</translation>
</message>
<message>
<source>Connect only to the specified node(s)</source>
<translation>Připojit se pouze k zadanému uzlu (příp. zadaným uzlům)</translation>
</message>
<message>
<source>Connection options:</source>
<translation>Možnosti připojení:</translation>
</message>
<message>
<source>Corrupted block database detected</source>
<translation>Bylo zjištěno poškození databáze bloků</translation>
</message>
<message>
<source>Debugging/Testing options:</source>
<translation>Možnosti ladění/testování:</translation>
</message>
<message>
<source>Discover own IP address (default: 1 when listening and no -externalip)</source>
<translation>Zjistit vlastní IP adresu (výchozí: 1, pokud naslouchá a není zadáno -externalip)</translation>
</message>
<message>
<source>Do not load the wallet and disable wallet RPC calls</source>
<translation>Nenačítat peněženku a vypnout její RPC volání</translation>
</message>
<message>
<source>Do you want to rebuild the block database now?</source>
<translation>Chceš přestavět databázi bloků hned teď?</translation>
</message>
<message>
<source>Error initializing block database</source>
<translation>Chyba při zakládání databáze bloků</translation>
</message>
<message>
<source>Error initializing wallet database environment %s!</source>
<translation>Chyba při vytváření databázového prostředí %s pro peněženku!</translation>
</message>
<message>
<source>Error loading block database</source>
<translation>Chyba při načítání databáze bloků</translation>
</message>
<message>
<source>Error opening block database</source>
<translation>Chyba při otevírání databáze bloků</translation>
</message>
<message>
<source>Error: Disk space is low!</source>
<translation>Problém: Na disku je málo místa!</translation>
</message>
<message>
<source>Failed to listen on any port. Use -listen=0 if you want this.</source>
<translation>Nepodařilo se naslouchat na žádném portu. Použij -listen=0, pokud to byl tvůj záměr.</translation>
</message>
<message>
<source>If <category> is not supplied, output all debugging information.</source>
<translation>Pokud není <category> zadána, bude tisknout veškeré ladicí informace.</translation>
</message>
<message>
<source>Importing...</source>
<translation>Importuji...</translation>
</message>
<message>
<source>Incorrect or no genesis block found. Wrong datadir for network?</source>
<translation>Nemám žádný nebo jen špatný genesis blok. Není špatně nastavený datadir?</translation>
</message>
<message>
<source>Invalid -onion address: '%s'</source>
<translation>Neplatná -onion adresa: '%s'</translation>
</message>
<message>
<source>Not enough file descriptors available.</source>
<translation>Je nedostatek deskriptorů souborů.</translation>
</message>
<message>
<source>Only connect to nodes in network <net> (ipv4, ipv6 or onion)</source>
<translation>Připojovat se pouze k uzlům v <net> síti (ipv4, ipv6 nebo onion)</translation>
</message>
<message>
<source>Rebuild block chain index from current blk000??.dat files</source>
<translation>Znovu vytvořit index řetězce bloků z aktuálních blk000??.dat souborů</translation>
</message>
<message>
<source>Set database cache size in megabytes (%d to %d, default: %d)</source>
<translation>Nastavit velikost databázové vyrovnávací paměti v megabajtech (%d až %d, výchozí: %d)</translation>
</message>
<message>
<source>Set maximum block size in bytes (default: %d)</source>
<translation>Nastavit maximální velikost bloku v bajtech (výchozí: %d)</translation>
</message>
<message>
<source>Specify wallet file (within data directory)</source>
<translation>Udej název souboru s peněženkou (v rámci datového adresáře)</translation>
</message>
<message>
<source>This is intended for regression testing tools and app development.</source>
<translation>Tohle je určeno pro nástroje na regresní testování a vyvíjení aplikací.</translation>
</message>
<message>
<source>Use UPnP to map the listening port (default: %u)</source>
<translation>Použít UPnP k namapování naslouchacího portu (výchozí: %u)</translation>
</message>
<message>
<source>Verifying blocks...</source>
<translation>Ověřuji bloky... </translation>
</message>
<message>
<source>Verifying wallet...</source>
<translation>Kontroluji peněženku...</translation>
</message>
<message>
<source>Wallet %s resides outside data directory %s</source>
<translation>Peněženka %s se nachází mimo datový adresář %s</translation>
</message>
<message>
<source>Wallet options:</source>
<translation>Možnosti peněženky:</translation>
</message>
<message>
<source>You need to rebuild the database using -reindex to change -txindex</source>
<translation>Je třeba přestavět databázi použitím -reindex, aby bylo možné změnit -txindex</translation>
</message>
<message>
<source>Imports blocks from external blk000??.dat file</source>
<translation>Importovat bloky z externího souboru blk000??.dat</translation>
</message>
<message>
<source>Allow JSON-RPC connections from specified source. Valid for <ip> are a single IP (e.g. 1.2.3.4), a network/netmask (e.g. 1.2.3.4/255.255.255.0) or a network/CIDR (e.g. 1.2.3.4/24). This option can be specified multiple times</source>
<translation>Povolit JSON-RPC spojení ze specifikovaného zdroje. Platnou hodnotou <ip> je jednotlivá IP adresa (např. 1.2.3.4), síť/maska (např. 1.2.3.4/255.255.255.0) nebo síť/CIDR (např. 1.2.3.4/24). Tuto volbu lze použít i vícekrát</translation>
</message>
<message>
<source>An error occurred while setting up the RPC address %s port %u for listening: %s</source>
<translation>Při nastavování naslouchací RPC adresy %s a portu %u nastala chyba: %s</translation>
</message>
<message>
<source>Bind to given address and whitelist peers connecting to it. Use [host]:port notation for IPv6</source>
<translation>Obsadit zadanou adresu a protějšky, které se na ní připojí, umístit na bílou listinu. Pro zápis IPv6 adresy použij notaci [adresa]:port</translation>
</message>
<message>
<source>Bind to given address to listen for JSON-RPC connections. Use [host]:port notation for IPv6. This option can be specified multiple times (default: bind to all interfaces)</source>
<translation>Čekat na zadané adrese na JSON-RPC spojení. Pro zápis IPv6 adresy použij notaci [adresa]:port. Tuto volbu lze použít i vícekrát (výchozí: poslouchat na všech rozhraních)</translation>
</message>
<message>
<source>Cannot obtain a lock on data directory %s. Bata Core is probably already running.</source>
<translation>Nedaří se mi získat zámek na datový adresář %s. Bata Core pravděpodobně už jednou běží.</translation>
</message>
<message>
<source>Continuously rate-limit free transactions to <n>*1000 bytes per minute (default:%u)</source>
<translation>Kontinuálně omezovat bezpoplatkové transakce na <n>*1000 bajtů za minutu (výchozí: %u)</translation>
</message>
<message>
<source>Create new files with system default permissions, instead of umask 077 (only effective with disabled wallet functionality)</source>
<translation>Vytvářet nové soubory s výchozími systémovými právy namísto umask 077 (uplatní se, pouze pokud je vypnutá funkce peněženky)</translation>
</message>
<message>
<source>Error: Listening for incoming connections failed (listen returned error %s)</source>
<translation>Chyba: Nelze naslouchat příchozí spojení (listen vrátil chybu %s)</translation>
</message>
<message>
<source>Error: Unsupported argument -socks found. Setting SOCKS version isn't possible anymore, only SOCKS5 proxies are supported.</source>
<translation>Chyba: Byl použit nepodporovaný argument -socks. Nastavení verze SOCKS už není možné, podporovány jsou pouze SOCKS5 proxy.</translation>
</message>
<message>
<source>Execute command when a relevant alert is received or we see a really long fork (%s in cmd is replaced by message)</source>
<translation>Spustit příkaz, když přijde relevantní upozornění nebo když dojde k opravdu dlouhému rozštěpení řetezce bloků (%s se v příkazu nahradí zprávou)</translation>
</message>
<message>
<source>Fees (in BTA/Kb) smaller than this are considered zero fee for relaying (default: %s)</source>
<translation>Poplatky (v BTA/Kb) menší než tato hodnota jsou považovány za nulové pro účely přeposílání transakcí (výchozí: %s)</translation>
</message>
<message>
<source>Fees (in BTA/Kb) smaller than this are considered zero fee for transaction creation (default: %s)</source>
<translation>Poplatky (v BTA/Kb) menší než tato hodnota jsou považovány za nulové pro účely vytváření transakcí (výchozí: %s)</translation>
</message>
<message>
<source>If paytxfee is not set, include enough fee so transactions begin confirmation on average within n blocks (default: %u)</source>
<translation>Pokud paytxfee není nastaveno, platit dostatečný poplatek na to, aby začaly být transakce potvrzovány v průměru během n bloků (výchozí: %u)</translation>
</message>
<message>
<source>Invalid amount for -maxtxfee=<amount>: '%s' (must be at least the minrelay fee of %s to prevent stuck transactions)</source>
<translation>Neplatná částka pro -maxtxfee=<amount>: '%s' (musí být alespoň jako poplatek minrelay %s, aby transakce nezůstávaly trčet)</translation>
</message>
<message>
<source>Maximum size of data in data carrier transactions we relay and mine (default: %u)</source>
<translation>Maximální velikost dat v transakcích nesoucích data, se kterou jsme ochotni je ještě přeposílat a těžit (výchozí: %u)</translation>
</message>
<message>
<source>Maximum total fees to use in a single wallet transaction, setting too low may abort large transactions (default: %s)</source>
<translation>Horní hranice pro celkový poplatek za jednu transakci z peněženky; příliš nízká hodnota může zmařit velké transakce (výchozí: %s)</translation>
</message>
<message>
<source>Query for peer addresses via DNS lookup, if low on addresses (default: 1 unless -connect)</source>
<translation>Při nedostatku adres získat další protějšky z DNS (výchozí: 1, pokud není použito -connect)</translation>
</message>
<message>
<source>Require high priority for relaying free or low-fee transactions (default:%u)</source>
<translation>Vyžadovat vysokou prioritu pro přeposílání bezplatných nebo nízkopoplatkových transakcí (výchozí: %u)</translation>
</message>
<message>
<source>Set maximum size of high-priority/low-fee transactions in bytes (default: %d)</source>
<translation>Nastavit maximální velikost prioritních/nízkopoplatkových transakcí v bajtech (výchozí: %d)</translation>
</message>
<message>
<source>Set the number of threads for coin generation if enabled (-1 = all cores, default: %d)</source>
<translation>Nastavení počtu vláken pro těžení, je-li zapnuté (-1 = všechna jádra, výchozí: %d)</translation>
</message>
<message>
<source>This product includes software developed by the OpenSSL Project for use in the OpenSSL Toolkit <https://www.openssl.org/> and cryptographic software written by Eric Young and UPnP software written by Thomas Bernard.</source>
<translation>Tento produkt zahrnuje programy vyvinuté OpenSSL Projektem pro použití v OpenSSL Toolkitu <https://www.openssl.org/> a kryptografický program od Erika Younga a program UPnP od Thomase Bernarda.</translation>
</message>
<message>
<source>To use batad, or the -server option to bata-qt, you must set an rpcpassword in the configuration file:
%s
It is recommended you use the following random password:
rpcuser=batarpc
rpcpassword=%s
(you do not need to remember this password)
The username and password MUST NOT be the same.
If the file does not exist, create it with owner-readable-only file permissions.
It is also recommended to set alertnotify so you are notified of problems;
for example: alertnotify=echo %%s | mail -s "Bata Alert" [email protected]
</source>
<translation>K používání batad nebo volby -server u bata-qt musíš nastavit rpcpassword v konfiguračním souboru:
%s
Je vhodné použít následující náhodné heslo:
rpcuser=batarpc
rpcpassword=%s
(není potřeba si ho pamatovat)
rpcuser a rpcpassword NESMÍ být stejné.
Pokud konfigurační soubor ještě neexistuje, vytvoř ho tak, aby ho mohl číst pouze vlastník.
Je také doporučeno si nastavit alertnotify, abys byl upozorněn na případné problémy;
například: alertnotify=echo %%s | mail -s "Bata Alert" [email protected]
</translation>
</message>
<message>
<source>Warning: -maxtxfee is set very high! Fees this large could be paid on a single transaction.</source>
<translation>Upozornění: -maxtxfee je nastaveno velmi vysoko! Takto vysoký poplatek může být zaplacen v jednotlivé transakci.</translation>
</message>
<message>
<source>Warning: Please check that your computer's date and time are correct! If your clock is wrong Bata Core will not work properly.</source>
<translation>Upozornění: Zkontroluj, že máš v počítači správně nastavený datum a čas! Pokud jsou nastaveny špatně, Bata Core nebude fungovat správně.</translation>
</message>
<message>
<source>Whitelisted peers cannot be DoS banned and their transactions are always relayed, even if they are already in the mempool, useful e.g. for a gateway</source>
<translation>Na protějšky na bílé listině se nevztahuje DoS klatba a jejich transakce jsou vždy přeposílány, i když už třeba jsou v mempoolu, což je užitečné např. pro bránu</translation>
</message>
<message>
<source>Accept public REST requests (default: %u)</source>
<translation>Přijímat veřejné REST požadavky (výchozí: %u)</translation>
</message>
<message>
<source>Cannot resolve -whitebind address: '%s'</source>
<translation>Nemohu přeložit -whitebind adresu: '%s'</translation>
</message>
<message>
<source>Connect through SOCKS5 proxy</source>
<translation>Připojit se přes SOCKS5 proxy</translation>
</message>
<message>
<source>Copyright (C) 2009-%i The Bitcoin Core Developers</source>
<translation>Copyright (C) 2009-%i Vývojáři Bitcoin Core</translation>
</message>
<message>
<source>Could not parse -rpcbind value %s as network address</source>
<translation>Nejde mi přečíst hodnotu -rpcbind %s jako síťovou adresu</translation>
</message>
<message>
<source>Error loading wallet.dat: Wallet requires newer version of Bata Core</source>
<translation>Chyba při načítání wallet.dat: peněženka vyžaduje novější verzi Bata Core</translation>
</message>
<message>
<source>Error reading from database, shutting down.</source>
<translation>Chyba při čtení z databáze, ukončuji se.</translation>
</message>
<message>
<source>Error: Unsupported argument -tor found, use -onion.</source>
<translation>Chyba: Argument -tor již není podporovaný, použij -onion.</translation>
</message>
<message>
<source>Fee (in BTA/kB) to add to transactions you send (default: %s)</source>
<translation>Poplatek (v BTA/kB), který se přidá ke každé odeslané transakci (výchozí: %s)</translation>
</message>
<message>
<source>Information</source>
<translation>Informace</translation>
</message>
<message>
<source>Initialization sanity check failed. Bata Core is shutting down.</source>
<translation>Selhala úvodní zevrubná prověrka. Bata Core se ukončuje.</translation>
</message>
<message>
<source>Invalid amount for -maxtxfee=<amount>: '%s'</source>
<translation>Neplatná částka pro -maxtxfee=<amount>: '%s'</translation>
</message>
<message>
<source>Invalid amount for -minrelaytxfee=<amount>: '%s'</source>
<translation>Neplatná částka pro -minrelaytxfee=<částka>: '%s'</translation>
</message>
<message>
<source>Invalid amount for -mintxfee=<amount>: '%s'</source>
<translation>Neplatná částka pro -mintxfee=<částka>: '%s'</translation>
</message>
<message>
<source>Invalid amount for -paytxfee=<amount>: '%s' (must be at least %s)</source>
<translation>Neplatná částka pro -paytxfee=<částka>: '%s' (musí být alespoň %s)</translation>
</message>
<message>
<source>Invalid netmask specified in -whitelist: '%s'</source>
<translation>Ve -whitelist byla zadána neplatná podsíť: '%s'</translation>
</message>
<message>
<source>Keep at most <n> unconnectable transactions in memory (default: %u)</source>
<translation>Držet v paměti nejvýše <n> nespojitelných transakcí (výchozí: %u)</translation>
</message>
<message>
<source>Need to specify a port with -whitebind: '%s'</source>
<translation>V rámci -whitebind je třeba specifikovat i port: '%s'</translation>
</message>
<message>
<source>Node relay options:</source>
<translation>Možnosti přeposílání:</translation>
</message>
<message>
<source>RPC SSL options: (see the Bata Wiki for SSL setup instructions)</source>
<translation>Možnosti SSL pro RPC: (viz instrukce nastavení SSL na Bata Wiki)</translation>
</message>
<message>
<source>RPC server options:</source>
<translation>Možnosti RPC serveru:</translation>
</message>
<message>
<source>RPC support for HTTP persistent connections (default: %d)</source>
<translation>Podpora RPC pro perzistentní HTTP spojení (výchozí: %d)</translation>
</message>
<message>
<source>Randomly drop 1 of every <n> network messages</source>
<translation>Náhodně zahazovat jednu z každých <n> síťových zpráv</translation>
</message>
<message>
<source>Randomly fuzz 1 of every <n> network messages</source>
<translation>Náhodně pozměňovat jednu z každých <n> síťových zpráv</translation>
</message>
<message>
<source>Send trace/debug info to console instead of debug.log file</source>
<translation>Posílat stopovací/ladicí informace do konzole místo do souboru debug.log</translation>
</message>
<message>
<source>Send transactions as zero-fee transactions if possible (default: %u)</source>
<translation>Posílat transakce pokud možno bez poplatků (výchozí: %u)</translation>
</message>
<message>
<source>Show all debugging options (usage: --help -help-debug)</source>
<translation>Zobrazit všechny možnosti ladění (užití: --help -help-debug)</translation>
</message>
<message>
<source>Shrink debug.log file on client startup (default: 1 when no -debug)</source>
<translation>Při spuštění klienta zmenšit soubor debug.log (výchozí: 1, pokud není zadáno -debug)</translation>
</message>
<message>
<source>Signing transaction failed</source>
<translation>Nepodařilo se podepsat transakci</translation>
</message>
<message>
<source>This is experimental software.</source>
<translation>Tohle je experimentální program.</translation>
</message>
<message>
<source>Transaction amount too small</source>
<translation>Částka v transakci je příliš malá</translation>
</message>
<message>
<source>Transaction amounts must be positive</source>
<translation>Částky v transakci musí být kladné</translation>
</message>
<message>
<source>Transaction too large for fee policy</source>
<translation>Transakce je na poplatkovou politiku příliš velká</translation>
</message>
<message>
<source>Transaction too large</source>
<translation>Transakce je příliš velká</translation>
</message>
<message>
<source>Unable to bind to %s on this computer (bind returned error %s)</source>
<translation>Nedaří se mi připojit na %s na tomhle počítači (operace bind vrátila chybu %s)</translation>
</message>
<message>
<source>Use UPnP to map the listening port (default: 1 when listening)</source>
<translation>Použít UPnP k namapování naslouchacího portu (výchozí: 1, pokud naslouchá)</translation>
</message>
<message>
<source>Username for JSON-RPC connections</source>
<translation>Uživatelské jméno pro JSON-RPC spojení</translation>
</message>
<message>
<source>Wallet needed to be rewritten: restart Bata Core to complete</source>
<translation>Soubor s peněženkou potřeboval přepsat: restartuj Bata Core, aby se operace dokončila</translation>
</message>
<message>
<source>Warning</source>
<translation>Upozornění</translation>
</message>
<message>
<source>Warning: This version is obsolete, upgrade required!</source>
<translation>Upozornění: tahle verze je zastaralá, měl bys ji aktualizovat!</translation>
</message>
<message>
<source>Warning: Unsupported argument -benchmark ignored, use -debug=bench.</source>
<translation>Upozornění: Nepodporovaný argument -benchmark se ignoruje, použij -debug=bench.</translation>
</message>
<message>
<source>Warning: Unsupported argument -debugnet ignored, use -debug=net.</source>
<translation>Upozornění: Nepodporovaný argument -debugnet se ignoruje, použij -debug=net.</translation>
</message>
<message>
<source>Zapping all transactions from wallet...</source>
<translation>Vymazat všechny transakce z peněženky...</translation>
</message>
<message>
<source>on startup</source>
<translation>při startu</translation>
</message>
<message>
<source>wallet.dat corrupt, salvage failed</source>
<translation>Soubor wallet.dat je poškozen, jeho záchrana se nezdařila</translation>
</message>
<message>
<source>Password for JSON-RPC connections</source>
<translation>Heslo pro JSON-RPC spojení</translation>
</message>
<message>
<source>Execute command when the best block changes (%s in cmd is replaced by block hash)</source>
<translation>Spustit příkaz, když se změní nejlepší blok (%s se v příkazu nahradí hashem bloku)</translation>
</message>
<message>
<source>Upgrade wallet to latest format</source>
<translation>Převést peněženku na nejnovější formát</translation>
</message>
<message>
<source>Rescan the block chain for missing wallet transactions</source>
<translation>Přeskenovat řetězec bloků na chybějící transakce tvé pěněženky</translation>
</message>
<message>
<source>Use OpenSSL (https) for JSON-RPC connections</source>
<translation>Použít OpenSSL (https) pro JSON-RPC spojení</translation>
</message>
<message>
<source>This help message</source>
<translation>Tato nápověda</translation>
</message>
<message>
<source>Allow DNS lookups for -addnode, -seednode and -connect</source>
<translation>Povolit DNS dotazy pro -addnode (přidání uzlu), -seednode a -connect (připojení)</translation>
</message>
<message>
<source>Loading addresses...</source>
<translation>Načítám adresy...</translation>
</message>
<message>
<source>Error loading wallet.dat: Wallet corrupted</source>
<translation>Chyba při načítání wallet.dat: peněženka je poškozená</translation>
</message>
<message>
<source>(1 = keep tx meta data e.g. account owner and payment request information, 2 = drop tx meta data)</source>
<translation>(1 = ukládat transakční metadata, např. majitele účtu a informace o platebním požadavku, 2 = mazat transakční metadata)</translation>
</message>
<message>
<source>Flush database activity from memory pool to disk log every <n> megabytes (default: %u)</source>
<translation>Promítnout databázovou aktivitu z paměťového prostoru do záznamu na disku každých <n> megabajtů (výchozí: %u)</translation>
</message>
<message>
<source>How thorough the block verification of -checkblocks is (0-4, default: %u)</source>
<translation>Jak moc důkladná má být verifikace bloků -checkblocks (0-4, výchozí: %u)</translation>
</message>
<message>
<source>Log transaction priority and fee per kB when mining blocks (default: %u)</source>
<translation>Zaznamenávat během těžení bloků prioritu transakce a poplatek za kB (výchozí: %u)</translation>
</message>
<message>
<source>Maintain a full transaction index, used by the getrawtransaction rpc call (default: %u)</source>
<translation>Spravovat úplný index transakcí, který je využíván rpc voláním getrawtransaction (výchozí: %u)</translation>
</message>
<message>
<source>Number of seconds to keep misbehaving peers from reconnecting (default: %u)</source>
<translation>Doba ve vteřinách, po kterou se nebudou moci zlobivé protějšky znovu připojit (výchozí: %u)</translation>
</message>
<message>
<source>Output debugging information (default: %u, supplying <category> is optional)</source>
<translation>Tisknout ladicí informace (výchozí: %u, zadání <category> je volitelné)</translation>
</message>
<message>
<source>Use separate SOCKS5 proxy to reach peers via Tor hidden services (default: %s)</source>
<translation>Použít samostatnou SOCKS5 proxy ke spojení s protějšky přes skryté služby v Toru (výchozí: %s)</translation>
</message>
<message>
<source>(default: %s)</source>
<translation>(výchozí: %s)</translation>
</message>
<message>
<source>Acceptable ciphers (default: %s)</source>
<translation>Akceptovatelné šifry (výchozí: %s)</translation>
</message>
<message>
<source>Always query for peer addresses via DNS lookup (default: %u)</source>
<translation>Vždy získávat adresy dalších protějšků přes DNS (výchozí: %u)</translation>
</message>
<message>
<source>Disable safemode, override a real safe mode event (default: %u)</source>
<translation>Vypnout bezpečný režim (safemode), překrýt skutečnou událost bezpečného režimu (výchozí: %u)</translation>
</message>
<message>
<source>Error loading wallet.dat</source>
<translation>Chyba při načítání wallet.dat</translation>
</message>
<message>
<source>Force safe mode (default: %u)</source>
<translation>Vynutit bezpečný mód (výchozí: %u)</translation>
</message>
<message>
<source>Generate coins (default: %u)</source>
<translation>Těžit (výchozí: %u)</translation>
</message>
<message>
<source>How many blocks to check at startup (default: %u, 0 = all)</source>
<translation>Kolik bloků při startu zkontrolovat (výchozí: %u, 0 = všechny)</translation>
</message>
<message>
<source>Include IP addresses in debug output (default: %u)</source>
<translation>Zaznamenávat do ladicích výstupů i IP adresy (výchozí: %u)</translation>
</message>
<message>
<source>Invalid -proxy address: '%s'</source>
<translation>Neplatná -proxy adresa: '%s'</translation>
</message>
<message>
<source>Limit size of signature cache to <n> entries (default: %u)</source>
<translation>Omezit velikost vyrovnávací paměti pro podpisy na <n> položek (výchozí: %u)</translation>
</message>
<message>
<source>Listen for JSON-RPC connections on <port> (default: %u or testnet: %u)</source>
<translation>Čekat na JSON-RPC spojení na <portu> (výchozí: %u nebo testnet: %u)</translation>
</message>
<message>
<source>Listen for connections on <port> (default: %u or testnet: %u)</source>
<translation>Čekat na spojení na <portu> (výchozí: %u nebo testnet: %u)</translation>
</message>
<message>
<source>Maintain at most <n> connections to peers (default: %u)</source>
<translation>Povolit nejvýše <n> protějšků (výchozí: %u)</translation>
</message>
<message>
<source>Maximum per-connection receive buffer, <n>*1000 bytes (default: %u)</source>
<translation>Maximální velikost přijímacího bufferu pro každé spojení, <n>*1000 bajtů (výchozí: %u)</translation>
</message>
<message>
<source>Maximum per-connection send buffer, <n>*1000 bytes (default: %u)</source>
<translation>Maximální velikost odesílacího bufferu pro každé spojení, <n>*1000 bajtů (výchozí: %u)</translation>
</message>
<message>
<source>Only accept block chain matching built-in checkpoints (default: %u)</source>
<translation>Uznávat pouze řetězec bloků, který odpovídá vnitřním kontrolním bodům (výchozí: %u)</translation>
</message>
<message>
<source>Prepend debug output with timestamp (default: %u)</source>
<translation>Připojit před ladicí výstup časové razítko (výchozí: %u)</translation>
</message>
<message>
<source>Relay and mine data carrier transactions (default: %u)</source>
<translation>Přeposílat a těžit transakce nesoucí data (výchozí: %u)</translation>
</message>
<message>
<source>Relay non-P2SH multisig (default: %u)</source>
<translation>Přeposílat ne-P2SH multisig (výchozí: %u)</translation>
</message>
<message>
<source>Run a thread to flush wallet periodically (default: %u)</source>
<translation>Spustit vlákno pročišťující periodicky peněženku (výchozí: %u)</translation>
</message>
<message>
<source>Server certificate file (default: %s)</source>
<translation>Soubor se serverovým certifikátem (výchozí: %s)</translation>
</message>
<message>
<source>Server private key (default: %s)</source>
<translation>Soubor se serverovým soukromým klíčem (výchozí: %s)</translation>
</message>
<message>
<source>Set key pool size to <n> (default: %u)</source>
<translation>Nastavit zásobník klíčů na velikost <n> (výchozí: %u)</translation>
</message>
<message>
<source>Set minimum block size in bytes (default: %u)</source>
<translation>Nastavit minimální velikost bloku v bajtech (výchozí: %u)</translation>
</message>
<message>
<source>Set the number of threads to service RPC calls (default: %d)</source>
<translation>Nastavení počtu vláken pro servisní RPC volání (výchozí: %d)</translation>
</message>
<message>
<source>Sets the DB_PRIVATE flag in the wallet db environment (default: %u)</source>
<translation>Nastavit příznak DB_PRIVATE v databázovém prostředí peněženky (výchozí: %u)</translation>
</message>
<message>
<source>Specify configuration file (default: %s)</source>
<translation>Konfigurační soubor (výchozí: %s)</translation>
</message>
<message>
<source>Specify connection timeout in milliseconds (minimum: 1, default: %d)</source>
<translation>Zadej časový limit spojení v milivteřinách (minimum: 1, výchozí: %d)</translation>
</message>
<message>
<source>Spend unconfirmed change when sending transactions (default: %u)</source>
<translation>Utrácet i ještě nepotvrzené drobné při posílání transakcí (výchozí: %u)</translation>
</message>
<message>
<source>Stop running after importing blocks from disk (default: %u)</source>
<translation>Ukončit se po importu bloků z disku (výchozí: %u)</translation>
</message>
<message>
<source>Threshold for disconnecting misbehaving peers (default: %u)</source>
<translation>Práh pro odpojování zlobivých protějšků (výchozí: %u)</translation>
</message>
<message>
<source>Unknown network specified in -onlynet: '%s'</source>
<translation>V -onlynet byla uvedena neznámá síť: '%s'</translation>
</message>
<message>
<source>Cannot resolve -bind address: '%s'</source>
<translation>Nemohu přeložit -bind adresu: '%s'</translation>
</message>
<message>
<source>Cannot resolve -externalip address: '%s'</source>
<translation>Nemohu přeložit -externalip adresu: '%s'</translation>
</message>
<message>
<source>Invalid amount for -paytxfee=<amount>: '%s'</source>
<translation>Neplatná částka pro -paytxfee=<částka>: '%s'</translation>
</message>
<message>
<source>Insufficient funds</source>
<translation>Nedostatek prostředků</translation>
</message>
<message>
<source>Loading block index...</source>
<translation>Načítám index bloků...</translation>
</message>
<message>
<source>Add a node to connect to and attempt to keep the connection open</source>
<translation>Přidat uzel, ke kterému se připojit a snažit se spojení udržet</translation>
</message>
<message>
<source>Loading wallet...</source>
<translation>Načítám peněženku...</translation>
</message>
<message>
<source>Cannot downgrade wallet</source>
<translation>Nemohu převést peněženku do staršího formátu</translation>
</message>
<message>
<source>Cannot write default address</source>
<translation>Nemohu napsat výchozí adresu</translation>
</message>
<message>
<source>Rescanning...</source>
<translation>Přeskenovávám...</translation>
</message>
<message>
<source>Done loading</source>
<translation>Načítání dokončeno</translation>
</message>
<message>
<source>Error</source>
<translation>Chyba</translation>
</message>
</context>
</TS><｜fim▁end｜> | |
<|file_name|>env_test.go<|end_file_name|><｜fim▁begin｜>// -*- Mode: Go; indent-tabs-mode: t -*-
/*
* Copyright (C) 2016 Canonical Ltd
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License version 3 as
* published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
*/
package osutil_test
import (
"fmt"
"math"
"os"
"strings"
"gopkg.in/check.v1"
"github.com/snapcore/snapd/osutil"
)
type envSuite struct{}
var _ = check.Suite(&envSuite{})
func (s *envSuite) TestGetenvBoolTrue(c *check.C) {
key := "__XYZZY__"
os.Unsetenv(key)
for _, s := range []string{
"1", "t", "TRUE",
} {
os.Setenv(key, s)
c.Assert(os.Getenv(key), check.Equals, s)
c.Check(osutil.GetenvBool(key), check.Equals, true, check.Commentf(s))
c.Check(osutil.GetenvBool(key, false), check.Equals, true, check.Commentf(s))
c.Check(osutil.GetenvBool(key, true), check.Equals, true, check.Commentf(s))
}
}
func (s *envSuite) TestGetenvBoolFalse(c *check.C) {
key := "__XYZZY__"
os.Unsetenv(key)
c.Assert(osutil.GetenvBool(key), check.Equals, false)
for _, s := range []string{
"", "0", "f", "FALSE", "potato",
} {
os.Setenv(key, s)
c.Assert(os.Getenv(key), check.Equals, s)
c.Check(osutil.GetenvBool(key), check.Equals, false, check.Commentf(s))
c.Check(osutil.GetenvBool(key, false), check.Equals, false, check.Commentf(s))
}
}
func (s *envSuite) TestGetenvBoolFalseDefaultTrue(c *check.C) {
key := "__XYZZY__"
os.Unsetenv(key)
c.Assert(osutil.GetenvBool(key), check.Equals, false)
for _, s := range []string{
"0", "f", "FALSE",
} {
os.Setenv(key, s)
c.Assert(os.Getenv(key), check.Equals, s)
c.Check(osutil.GetenvBool(key, true), check.Equals, false, check.Commentf(s))
}
for _, s := range []string{
"", "potato", // etc
} {
os.Setenv(key, s)
c.Assert(os.Getenv(key), check.Equals, s)
c.Check(osutil.GetenvBool(key, true), check.Equals, true, check.Commentf(s))
}
}
func (s *envSuite) TestGetenvInt64(c *check.C) {
key := "__XYZZY__"
os.Unsetenv(key)
c.Check(osutil.GetenvInt64(key), check.Equals, int64(0))
c.Check(osutil.GetenvInt64(key, -1), check.Equals, int64(-1))
c.Check(osutil.GetenvInt64(key, math.MaxInt64), check.Equals, int64(math.MaxInt64))
c.Check(osutil.GetenvInt64(key, math.MinInt64), check.Equals, int64(math.MinInt64))
for _, n := range []int64{
0, -1, math.MinInt64, math.MaxInt64,
} {
for _, tpl := range []string{"%d", " %d ", "%#x", "%#X", "%#o"} {
v := fmt.Sprintf(tpl, n)
os.Setenv(key, v)
c.Assert(os.Getenv(key), check.Equals, v)
c.Check(osutil.GetenvInt64(key), check.Equals, n, check.Commentf(v))
}
}
}
func (s *envSuite) TestSubstitueEnv(c *check.C) {
for _, t := range []struct {
env string
expected string
}{
// trivial
{"K1=V1,K2=V2", "K1=V1,K2=V2"},
// simple (order is preserved)
{"K=V,K2=$K", "K=V,K2=V"},
// simple from environment
{"K=$PATH", fmt.Sprintf("K=%s", os.Getenv("PATH"))},
// append to substitution from environment
{"K=${PATH}:/foo", fmt.Sprintf("K=%s", os.Getenv("PATH")+":/foo")},
// multi-level
{"A=1,B=$A/2,C=$B/3,D=$C/4", "A=1,B=1/2,C=1/2/3,D=1/2/3/4"},
// parsing is top down
{"A=$A", "A="},
{"A=$B,B=$A", "A=,B="},
{"A=$B,B=$C,C=$A", "A=,B=,C="},
} {<｜fim▁hole｜><｜fim▁end｜> | env := osutil.SubstituteEnv(strings.Split(t.env, ","))
c.Check(strings.Join(env, ","), check.DeepEquals, t.expected, check.Commentf("invalid result for %q, got %q expected %q", t.env, env, t.expected))
}
} |
<|file_name|>extenders_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""extenders tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.contrib.data.python.ops import dataset_ops
from tensorflow.contrib.estimator.python.estimator import extenders
from tensorflow.python.estimator import estimator_lib
from tensorflow.python.estimator.canned import linear
from tensorflow.python.feature_column import feature_column as fc
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import sparse_tensor
from tensorflow.python.ops import metrics as metrics_lib
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
from tensorflow.python.training import training
def get_input_fn(x, y):
def input_fn():
dataset = dataset_ops.Dataset.from_tensor_slices({'x': x, 'y': y})
iterator = dataset.make_one_shot_iterator()
features = iterator.get_next()
labels = features.pop('y')
return features, labels
return input_fn
class AddMetricsTest(test.TestCase):
def test_should_add_metrics(self):
input_fn = get_input_fn(
x=np.arange(4)[:, None, None], y=np.ones(4)[:, None])
estimator = linear.LinearClassifier([fc.numeric_column('x')])
def metric_fn(features):
return {'mean_x': metrics_lib.mean(features['x'])}
estimator = extenders.add_metrics(estimator, metric_fn)
estimator.train(input_fn=input_fn)
metrics = estimator.evaluate(input_fn=input_fn)
self.assertIn('mean_x', metrics)
self.assertEqual(1.5, metrics['mean_x'])
# assert that it keeps original estimators metrics
self.assertIn('auc', metrics)
def test_should_error_out_for_not_recognized_args(self):
estimator = linear.LinearClassifier([fc.numeric_column('x')])
def metric_fn(features, not_recognized):
_, _ = features, not_recognized
return {}
with self.assertRaisesRegexp(ValueError, 'not_recognized'):
estimator = extenders.add_metrics(estimator, metric_fn)
def test_all_supported_args(self):
input_fn = get_input_fn(x=[[[0.]]], y=[[[1]]])
estimator = linear.LinearClassifier([fc.numeric_column('x')])
def metric_fn(features, predictions, labels, config):
self.assertIn('x', features)
self.assertIsNotNone(labels)
self.assertIn('logistic', predictions)
self.assertTrue(isinstance(config, estimator_lib.RunConfig))
return {}
estimator = extenders.add_metrics(estimator, metric_fn)
estimator.train(input_fn=input_fn)
estimator.evaluate(input_fn=input_fn)
def test_all_supported_args_in_different_order(self):
input_fn = get_input_fn(x=[[[0.]]], y=[[[1]]])
estimator = linear.LinearClassifier([fc.numeric_column('x')])
def metric_fn(labels, config, features, predictions):
self.assertIn('x', features)
self.assertIsNotNone(labels)
self.assertIn('logistic', predictions)
self.assertTrue(isinstance(config, estimator_lib.RunConfig))
return {}
estimator = extenders.add_metrics(estimator, metric_fn)
estimator.train(input_fn=input_fn)
estimator.evaluate(input_fn=input_fn)
def test_all_args_are_optional(self):
input_fn = get_input_fn(x=[[[0.]]], y=[[[1]]])
estimator = linear.LinearClassifier([fc.numeric_column('x')])
def metric_fn():
return {'two': metrics_lib.mean(constant_op.constant([2.]))}
estimator = extenders.add_metrics(estimator, metric_fn)
estimator.train(input_fn=input_fn)
metrics = estimator.evaluate(input_fn=input_fn)
self.assertEqual(2., metrics['two'])
def test_overrides_existing_metrics(self):
input_fn = get_input_fn(x=[[[0.]]], y=[[[1]]])
estimator = linear.LinearClassifier([fc.numeric_column('x')])
estimator.train(input_fn=input_fn)
metrics = estimator.evaluate(input_fn=input_fn)
self.assertNotEqual(2., metrics['auc'])
def metric_fn():
return {'auc': metrics_lib.mean(constant_op.constant([2.]))}
estimator = extenders.add_metrics(estimator, metric_fn)
metrics = estimator.evaluate(input_fn=input_fn)
self.assertEqual(2., metrics['auc'])
class ClipGradientsByNormTest(test.TestCase):
"""Tests clip_gradients_by_norm."""
def test_applies_norm(self):
optimizer = extenders.clip_gradients_by_norm(
training.GradientDescentOptimizer(1.0), clip_norm=3.)
with ops.Graph().as_default():
w = variables.Variable(1., name='weight')
x = constant_op.constant(5.)
y = -x * w
grads = optimizer.compute_gradients(y, var_list=[w])[0]
opt_op = optimizer.minimize(y, var_list=[w])
with training.MonitoredSession() as sess:
grads_value = sess.run(grads)
self.assertEqual(-5., grads_value[0])
sess.run(opt_op)
new_w = sess.run(w)
self.assertEqual(4., new_w) # 1 + 1*3 (w - lr * clipped_grad)
def test_name(self):
optimizer = extenders.clip_gradients_by_norm(
training.GradientDescentOptimizer(1.0), clip_norm=3.)
self.assertEqual('ClipByNormGradientDescent', optimizer.get_name())
class ForwardFeaturesTest(test.TestCase):
"""Tests forward_features."""
def test_forward_single_key(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}, [[1.], [2.]]
estimator = linear.LinearRegressor([fc.numeric_column('x')])
estimator.train(input_fn=input_fn, steps=1)
self.assertNotIn('id', next(estimator.predict(input_fn=input_fn)))
estimator = extenders.forward_features(estimator, 'id')
predictions = next(estimator.predict(input_fn=input_fn))
self.assertIn('id', predictions)
self.assertEqual(101, predictions['id'])
def test_forward_list(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}, [[1.], [2.]]
estimator = linear.LinearRegressor([fc.numeric_column('x')])
estimator.train(input_fn=input_fn, steps=1)
self.assertNotIn('id', next(estimator.predict(input_fn=input_fn)))
estimator = extenders.forward_features(estimator, ['x', 'id'])
predictions = next(estimator.predict(input_fn=input_fn))
self.assertIn('id', predictions)
self.assertIn('x', predictions)
self.assertEqual(101, predictions['id'])
self.assertEqual(3., predictions['x'])
def test_forward_all(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}, [[1.], [2.]]
estimator = linear.LinearRegressor([fc.numeric_column('x')])
estimator.train(input_fn=input_fn, steps=1)
self.assertNotIn('id', next(estimator.predict(input_fn=input_fn)))
self.assertNotIn('x', next(estimator.predict(input_fn=input_fn)))
estimator = extenders.forward_features(estimator)
predictions = next(estimator.predict(input_fn=input_fn))
self.assertIn('id', predictions)
self.assertIn('x', predictions)
self.assertEqual(101, predictions['id'])
self.assertEqual(3., predictions['x'])
def test_key_should_be_string(self):
estimator = linear.LinearRegressor([fc.numeric_column('x')])
with self.assertRaisesRegexp(TypeError, 'keys should be either a string'):
extenders.forward_features(estimator, estimator)
def test_key_should_be_list_of_string(self):
estimator = linear.LinearRegressor([fc.numeric_column('x')])
with self.assertRaisesRegexp(TypeError, 'should be a string'):
extenders.forward_features(estimator, ['x', estimator])
def test_key_should_be_in_features(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}, [[1.], [2.]]
estimator = linear.LinearRegressor([fc.numeric_column('x')])
estimator.train(input_fn=input_fn, steps=1)
estimator = extenders.forward_features(estimator, 'y')
with self.assertRaisesRegexp(ValueError,
'keys should be exist in features'):
next(estimator.predict(input_fn=input_fn))
def test_forwarded_feature_should_not_be_a_sparse_tensor(self):
def input_fn():
return {
'x': [[3.], [5.]],<｜fim▁hole｜> values=['1', '2'],
indices=[[0, 0], [1, 0]],
dense_shape=[2, 1])
}, [[1.], [2.]]
estimator = linear.LinearRegressor([fc.numeric_column('x')])
estimator.train(input_fn=input_fn, steps=1)
estimator = extenders.forward_features(estimator)
with self.assertRaisesRegexp(ValueError,
'Forwarded feature.* should be a Tensor.'):
next(estimator.predict(input_fn=input_fn))
def test_predictions_should_be_dict(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}
def model_fn(features, mode):
del features
global_step = training.get_global_step()
return estimator_lib.EstimatorSpec(
mode,
loss=constant_op.constant([5.]),
predictions=constant_op.constant([5.]),
train_op=global_step.assign_add(1))
estimator = estimator_lib.Estimator(model_fn=model_fn)
estimator.train(input_fn=input_fn, steps=1)
estimator = extenders.forward_features(estimator)
with self.assertRaisesRegexp(ValueError, 'Predictions should be a dict'):
next(estimator.predict(input_fn=input_fn))
def test_should_not_conflict_with_existing_predictions(self):
def input_fn():
return {'x': [[3.], [5.]], 'id': [[101], [102]]}
def model_fn(features, mode):
del features
global_step = training.get_global_step()
return estimator_lib.EstimatorSpec(
mode,
loss=constant_op.constant([5.]),
predictions={'x': constant_op.constant([5.])},
train_op=global_step.assign_add(1))
estimator = estimator_lib.Estimator(model_fn=model_fn)
estimator.train(input_fn=input_fn, steps=1)
estimator = extenders.forward_features(estimator)
with self.assertRaisesRegexp(ValueError, 'Cannot forward feature key'):
next(estimator.predict(input_fn=input_fn))
if __name__ == '__main__':
test.main()<｜fim▁end｜> | 'id':
sparse_tensor.SparseTensor( |
<|file_name|>index.d.ts<|end_file_name|><｜fim▁begin｜>// Type definitions for jsreport-html-embedded-in-docx 1.0
// Project: https://github.com/jsreport/jsreport-html-embedded-in-docx
// Definitions by: taoqf <https://github.com/taoqf>
// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
// TypeScript Version: 2.3<｜fim▁hole｜>
declare module 'jsreport-core' {
interface Template {
recipe: 'html-embedded-in-docx' | string;
}
}
declare function JsReportHtmlEmbeddedInDocx(): ExtensionDefinition;
export = JsReportHtmlEmbeddedInDocx;<｜fim▁end｜> |
import { ExtensionDefinition } from 'jsreport-core'; |
<|file_name|>JRFacesContextWrapper.java<|end_file_name|><｜fim▁begin｜>/*
* JaspertReports JSF Plugin Copyright (C) 2011 A. Alonso Dominguez
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation; either version 2.1 of the License, or (at
* your option) any later version. This library is distributed in the hope
* that it will be useful, but WITHOUT ANY WARRANTY; without even the implied
* warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*
* See the GNU Lesser General Public License for more details. You should have
* received a copy of the GNU Lesser General Public License along with this
* library; if not, write to the Free Software Foundation, Inc., 59 Temple
* Place, Suite 330, Boston, MA 02111-1307 USA A.
*
* Alonso Dominguez
* [email protected]
*/
package net.sf.jasperreports.jsf.context;
import java.util.Collection;
import javax.faces.component.UIComponent;
import javax.faces.context.FacesContext;
import net.sf.jasperreports.jsf.component.UIOutputReport;
import net.sf.jasperreports.jsf.component.UIReport;
import net.sf.jasperreports.jsf.convert.ReportConverter;
import net.sf.jasperreports.jsf.convert.SourceConverter;
import net.sf.jasperreports.jsf.engine.Exporter;
import net.sf.jasperreports.jsf.engine.Filler;
import net.sf.jasperreports.jsf.resource.Resource;
/**
*
* @author A. Alonso Dominguez
*/
public abstract class JRFacesContextWrapper extends JRFacesContext {
@Override
public ReportConverter createReportConverter(FacesContext context, UIReport component) {
return getWrapped().createReportConverter(context, component);
}
@Override
public Resource createResource(FacesContext context, UIComponent component, String name) {
return getWrapped().createResource(context, component, name);
}
@Override
public SourceConverter createSourceConverter(FacesContext context, UIComponent component) {
return getWrapped().createSourceConverter(context, component);
}
@Override
public Collection<String> getAvailableExportFormats() {
return getWrapped().getAvailableExportFormats();
}
@Override
public Collection<String> getAvailableSourceTypes() {
return getWrapped().getAvailableSourceTypes();
}
@Override
public Exporter getExporter(FacesContext context, UIOutputReport component) {
return getWrapped().getExporter(context, component);
}
@Override
public ExternalContextHelper getExternalContextHelper(FacesContext context) {
return getWrapped().getExternalContextHelper(context);
}
@Override
public Filler getFiller(FacesContext context, UIOutputReport component) {
return getWrapped().getFiller(context, component);
}<｜fim▁hole｜> @Override
public Collection<ContentType> getSupportedContentTypes() {
return getWrapped().getSupportedContentTypes();
}
protected abstract JRFacesContext getWrapped();
}<｜fim▁end｜> | |
<|file_name|>017_number_letter_counts.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜><｜fim▁end｜> | ## Need to find a library |
<|file_name|>generic-function.rs<|end_file_name|><｜fim▁begin｜>// Copyright 2013-2014 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
// ignore-android: FIXME(#10381)
// compile-flags:-g
// gdb-command:rbreak zzz
// gdb-command:run
// gdb-command:finish
// gdb-command:print *t0
// gdb-check:$1 = 1<｜fim▁hole｜>// gdb-command:print ret
// gdb-check:$3 = {{1, 2.5}, {2.5, 1}}
// gdb-command:continue
// gdb-command:finish
// gdb-command:print *t0
// gdb-check:$4 = 3.5
// gdb-command:print *t1
// gdb-check:$5 = 4
// gdb-command:print ret
// gdb-check:$6 = {{3.5, 4}, {4, 3.5}}
// gdb-command:continue
// gdb-command:finish
// gdb-command:print *t0
// gdb-check:$7 = 5
// gdb-command:print *t1
// gdb-check:$8 = {a = 6, b = 7.5}
// gdb-command:print ret
// gdb-check:$9 = {{5, {a = 6, b = 7.5}}, {{a = 6, b = 7.5}, 5}}
// gdb-command:continue
#[deriving(Clone)]
struct Struct {
a: int,
b: f64
}
fn dup_tup<T0: Clone, T1: Clone>(t0: &T0, t1: &T1) -> ((T0, T1), (T1, T0)) {
let ret = ((t0.clone(), t1.clone()), (t1.clone(), t0.clone()));
zzz();
ret
}
fn main() {
let _ = dup_tup(&1i, &2.5f64);
let _ = dup_tup(&3.5f64, &4_u16);
let _ = dup_tup(&5i, &Struct { a: 6, b: 7.5 });
}
fn zzz() {()}<｜fim▁end｜> | // gdb-command:print *t1
// gdb-check:$2 = 2.5 |
<|file_name|>rpm_sign.py<|end_file_name|><｜fim▁begin｜>from time import sleep
import os
import shutil
import merfi
from merfi import logger
from merfi import util
from merfi.collector import RepoCollector
from merfi.backends import base
class RpmSign(base.BaseBackend):
help_menu = 'rpm-sign handler for signing files'
_help = """
Signs files with rpm-sign. Crawls a given path looking for Debian repos.
Note: this sub-command tells merfi to use Red Hat's internal signing tool
inconveniently named "rpm-sign", not the rpmsign(8) command that is a part of
the http://rpm.org open-source project.
%s
Options
--key Name of the key to use (see rpm-sign --list-keys)
--keyfile File path location of the public keyfile, for example
/etc/pki/rpm-gpg/RPM-GPG-KEY-redhat-release
or /etc/pki/rpm-gpg/RPM-GPG-KEY-redhat-beta
--nat A NAT is between this system and the signing server.
Positional Arguments:
[path] The path to crawl for signing repos. Defaults to current
working directory
"""
executable = 'rpm-sign'
name = 'rpm-sign'
options = ['--key', '--keyfile', '--nat']
def clear_sign(self, path, command):
"""
When doing a "clearsign" with rpm-sign, the output goes to stdout, so
that needs to be captured and written to the default output file for
clear signed signatures (InRelease).
"""
logger.info('signing: %s' % path)
out, err, code = util.run_output(command)
# Sometimes rpm-sign will fail with this error. I've opened
# rhbz#1557014 to resolve this server-side. For now, sleep and retry
# as a workaround. These sleep/retry values are suggestions from the
# team that runs the signing service.
known_failure = "ERROR: unhandled exception occurred: ('')."
tries = 1
while known_failure in err and tries < 30:
logger.warning('hit known rpm-sign failure.')
tries += 1
logger.warning('sleeping, running try #%d in 30 seconds.' % tries)
sleep(2)
out, err, code = util.run_output(command)
if code != 0:
for line in err.split('\n'):
logger.error('stderr: %s' % line)
for line in out.split('\n'):
logger.error('stdout: %s' % line)
raise RuntimeError('rpm-sign non-zero exit code %d', code)
if out.strip() == '':
for line in err.split('\n'):
logger.error('stderr: %s' % line)
logger.error('rpm-sign clearsign provided nothing on stdout')
raise RuntimeError('no clearsign signature available')
absolute_directory = os.path.dirname(os.path.abspath(path))
with open(os.path.join(absolute_directory, 'InRelease'), 'w') as f:
f.write(out)
def detached(self, command):
return util.run(command)
<｜fim▁hole｜> def sign(self):
self.keyfile = self.parser.get('--keyfile')
if self.keyfile:
self.keyfile = os.path.abspath(self.keyfile)
if not os.path.isfile(self.keyfile):
raise RuntimeError('%s is not a file' % self.keyfile)
logger.info('using keyfile "%s" as release.asc' % self.keyfile)
self.key = self.parser.get('--key')
if not self.key:
raise RuntimeError('specify a --key for signing')
logger.info('Starting path collection, looking for files to sign')
repos = RepoCollector(self.path)
if repos:
logger.info('%s repos found' % len(repos))
# FIXME: this should spit the actual verified command
logger.info('will sign with the following commands:')
logger.info('rpm-sign --key "%s" --detachsign Release --output Release.gpg' % self.key)
logger.info('rpm-sign --key "%s" --clearsign Release --output InRelease' % self.key)
else:
logger.warning('No paths found that matched')
for repo in repos:
# Debian "Release" files:
for path in repo.releases:
self.sign_release(path)
# Public key:
if self.keyfile:
logger.info('placing release.asc in %s' % repo.path)
if merfi.config.get('check'):
logger.info('[CHECKMODE] writing release.asc')
else:
shutil.copyfile(
self.keyfile,
os.path.join(repo.path, 'release.asc'))
def sign_release(self, path):
""" Sign a "Release" file from a Debian repo. """
if merfi.config.get('check'):
new_gpg_path = path.split('Release')[0]+'Release.gpg'
new_in_path = path.split('Release')[0]+'InRelease'
logger.info('[CHECKMODE] signing: %s' % path)
logger.info('[CHECKMODE] signed: %s' % new_gpg_path)
logger.info('[CHECKMODE] signed: %s' % new_in_path)
else:
os.chdir(os.path.dirname(path))
detached = ['rpm-sign', '--key', self.key, '--detachsign',
'Release', '--output', 'Release.gpg']
clearsign = ['rpm-sign', '--key', self.key, '--clearsign',
'Release']
if self.parser.has('--nat'):
detached.insert(1, '--nat')
clearsign.insert(1, '--nat')
logger.info('signing: %s' % path)
self.detached(detached)
self.clear_sign(path, clearsign)<｜fim▁end｜> | |
<|file_name|>ContactEmailSettingsModal.tsx<|end_file_name|><｜fim▁begin｜>import { useState, useEffect } from 'react';
import { c } from 'ttag';
import { prepareContacts } from '@proton/shared/lib/contacts/encrypt';
import { hasCategories, reOrderByPref } from '@proton/shared/lib/contacts/properties';
import { addContacts } from '@proton/shared/lib/api/contacts';
import getPublicKeysEmailHelper from '@proton/shared/lib/api/helpers/getPublicKeysEmailHelper';
import { extractScheme } from '@proton/shared/lib/api/helpers/mailSettings';
import {
sortPinnedKeys,
sortApiKeys,
getContactPublicKeyModel,
getIsValidForSending,
} from '@proton/shared/lib/keys/publicKeys';
import { uniqueBy } from '@proton/shared/lib/helpers/array';
import { getKeyInfoFromProperties, toKeyProperty } from '@proton/shared/lib/contacts/keyProperties';
import { DecryptedKey, Api, ContactPublicKeyModel } from '@proton/shared/lib/interfaces';
import { ContactProperties, ContactProperty } from '@proton/shared/lib/interfaces/contacts/Contact';
import { AddContactsApiResponses } from '@proton/shared/lib/interfaces/contacts/Import';
import { VCARD_KEY_FIELDS, CATEGORIES } from '@proton/shared/lib/contacts/constants';
import { API_CODES, CONTACT_MIME_TYPES, MIME_TYPES, MIME_TYPES_MORE, PGP_SCHEMES } from '@proton/shared/lib/constants';
import { noop } from '@proton/shared/lib/helpers/function';
import ContactMIMETypeSelect from '../ContactMIMETypeSelect';
import ContactPgpSettings from '../ContactPgpSettings';
import { useApi, useEventManager, useNotifications, useLoading, useMailSettings } from '../../../hooks';
import {
Alert,
Label,
Field,
Row,
Info,
DialogModal,
ContentModal,
InnerModal,
FooterModal,
Button,
PrimaryButton,
LinkButton,
Icon,
} from '../../../components';
const { PGP_INLINE } = PGP_SCHEMES;
const { INCLUDE, IGNORE } = CATEGORIES;
interface Props {
userKeysList: DecryptedKey[];
contactID: string;
properties: ContactProperties;
emailProperty: ContactProperty;
onClose?: () => void;
}
const ContactEmailSettingsModal = ({
userKeysList,
contactID,
properties,
emailProperty,
onClose = noop,
...rest
}: Props) => {
const { value: emailAddressValue, group: emailGroup } = emailProperty;
const emailAddress = emailAddressValue as string;
const api = useApi();
const { call } = useEventManager();
const [model, setModel] = useState<ContactPublicKeyModel>({} as ContactPublicKeyModel);
const [showPgpSettings, setShowPgpSettings] = useState(false);
const [loading, withLoading] = useLoading();
const { createNotification } = useNotifications();
const [mailSettings, loadingMailSettings] = useMailSettings();
const isLoading = loading || loadingMailSettings;
const isMimeTypeFixed = model?.isPGPInternal ? false : model?.isPGPExternalWithWKDKeys ? true : !!model?.sign;
const hasPGPInline = model && mailSettings ? extractScheme(model, mailSettings) === PGP_INLINE : false;
/**
* Initialize the key model for the modal
* @returns {Promise}
*/
const prepare = async (api: Api) => {
const apiKeysConfig = await getPublicKeysEmailHelper(api, emailAddress, true);
const pinnedKeysConfig = await getKeyInfoFromProperties(properties, emailGroup || '');
const publicKeyModel = await getContactPublicKeyModel({
emailAddress,
apiKeysConfig,
pinnedKeysConfig: { ...pinnedKeysConfig, isContact: true },
});
setModel(publicKeyModel);
};
/**
* Collect keys from the model to save
* @param {String} group attached to the current email address
* @returns {Array} key properties to save in the vCard
*/
const getKeysProperties = (group: string) => {
const allKeys = model?.isPGPInternal
? [...model?.publicKeys.apiKeys]
: [...model?.publicKeys.apiKeys, ...model?.publicKeys?.pinnedKeys];
const trustedKeys = allKeys.filter((publicKey) => model?.trustedFingerprints.has(publicKey.getFingerprint()));
const uniqueTrustedKeys = uniqueBy(trustedKeys, (publicKey) => publicKey.getFingerprint());
return uniqueTrustedKeys.map((publicKey, index) => toKeyProperty({ publicKey, group, index }));
};
<｜fim▁hole｜> * Save relevant key properties in the vCard
* @returns {Promise}
*/
const handleSubmit = async () => {
const otherProperties = properties.filter(({ field, group }) => {
return !['email', ...VCARD_KEY_FIELDS].includes(field) || (group && group !== emailGroup);
});
const emailProperties = [emailProperty, ...getKeysProperties(emailGroup || '')];
if (model?.mimeType) {
emailProperties.push({ field: 'x-pm-mimetype', value: model?.mimeType, group: emailGroup });
}
if (model?.isPGPExternalWithoutWKDKeys && model?.encrypt !== undefined) {
emailProperties.push({ field: 'x-pm-encrypt', value: `${model?.encrypt}`, group: emailGroup });
}
if (model?.isPGPExternalWithoutWKDKeys && model?.sign !== undefined) {
emailProperties.push({ field: 'x-pm-sign', value: `${model?.sign}`, group: emailGroup });
}
if (model?.isPGPExternal && model?.scheme) {
emailProperties.push({ field: 'x-pm-scheme', value: model?.scheme, group: emailGroup });
}
const allProperties = reOrderByPref(otherProperties.concat(emailProperties));
const Contacts = await prepareContacts([allProperties], userKeysList[0]);
const labels = hasCategories(allProperties) ? INCLUDE : IGNORE;
const {
Responses: [
{
Response: { Code },
},
],
} = await api<AddContactsApiResponses>(
addContacts({ Contacts, Overwrite: +!!contactID as 0 | 1, Labels: labels })
);
if (Code !== API_CODES.SINGLE_SUCCESS) {
onClose();
createNotification({ text: c('Error').t`Preferences could not be saved`, type: 'error' });
return;
}
await call();
onClose();
createNotification({ text: c('Success').t`Preferences saved` });
};
useEffect(() => {
if (!model) {
return;
}
const abortController = new AbortController();
const apiWithAbort = (config: any): Promise<any> => api({ ...config, signal: abortController.signal });
// prepare the model once mail settings have been loaded
if (!loadingMailSettings) {
withLoading(prepare(apiWithAbort));
}
return () => {
abortController.abort();
};
}, [loadingMailSettings]);
useEffect(() => {
/**
* When the list of trusted, expired or revoked keys change,
* * update the encrypt toggle (off if all keys are expired or no keys are pinned)
* * re-check if the new keys can send
* * re-order api keys (trusted take preference)
* * move expired keys to the bottom of the list
*/
const noPinnedKeyCanSend =
!!model?.publicKeys?.pinnedKeys.length &&
!model?.publicKeys?.pinnedKeys.some((publicKey) => getIsValidForSending(publicKey.getFingerprint(), model));
setModel((model: ContactPublicKeyModel) => ({
...model,
encrypt: !noPinnedKeyCanSend && !!model?.publicKeys?.pinnedKeys.length && model.encrypt,
publicKeys: {
apiKeys: sortApiKeys(
model?.publicKeys?.apiKeys,
model.trustedFingerprints,
model.verifyOnlyFingerprints
),
pinnedKeys: sortPinnedKeys(model?.publicKeys?.pinnedKeys, model.encryptionCapableFingerprints),
},
}));
}, [model?.trustedFingerprints, model?.verifyOnlyFingerprints, model?.encryptionCapableFingerprints]);
useEffect(() => {
// take into account rules relating email format and cryptographic scheme
if (!isMimeTypeFixed) {
return;
}
// PGP/Inline should force the email format to plaintext
if (hasPGPInline) {
return setModel(
(model: ContactPublicKeyModel) =>
({ ...model, mimeType: MIME_TYPES.PLAINTEXT } as ContactPublicKeyModel)
);
}
// If PGP/Inline is not selected, go back to automatic
setModel((model: ContactPublicKeyModel) => ({ ...model, mimeType: MIME_TYPES_MORE.AUTOMATIC }));
}, [isMimeTypeFixed, hasPGPInline]);
return (
// we cannot use the FormModal component because we need to introduce the class text-ellipsis inside the header
<DialogModal modalTitleID="modalTitle" onClose={onClose} {...rest}>
<header className="modal-header">
<Button
icon
shape="ghost"
size="small"
className="modal-close"
title={c('Action').t`Close modal`}
onClick={onClose}
>
<Icon name="xmark" alt={c('Action').t`Close modal`} />
</Button>
<h1 id="modalTitle" className="modal-title text-ellipsis">
{c('Title').t`Email settings (${emailAddress})`}
</h1>
</header>
<ContentModal onSubmit={() => withLoading(handleSubmit())} onReset={onClose}>
<InnerModal>
{!isMimeTypeFixed ? (
<Alert className="mb1">
{c('Info')
.t`Select the email format you want to be used by default when sending an email to this email address.`}
</Alert>
) : hasPGPInline ? (
<Alert className="mb1">
{c('Info')
.t`PGP/Inline is only compatible with Plain Text format. Please note that ProtonMail always signs encrypted messages.`}
</Alert>
) : (
<Alert className="mb1">
{c('Info')
.t`PGP/MIME automatically sends the message using the current composer mode. Please note that ProtonMail always signs encrypted messages`}
</Alert>
)}
<Row>
<Label>
{c('Label').t`Email format`}
<Info
className="ml0-5"
title={c('Tooltip')
.t`Automatic indicates that the format in the composer is used to send to this user. Plain text indicates that the message will always be converted to plain text on send.`}
/>
</Label>
<Field>
<ContactMIMETypeSelect
disabled={isLoading || isMimeTypeFixed}
value={model?.mimeType || ''}
onChange={(mimeType: CONTACT_MIME_TYPES) => setModel({ ...model, mimeType })}
/>
</Field>
</Row>
<div className="mb1">
<LinkButton onClick={() => setShowPgpSettings(!showPgpSettings)} disabled={isLoading}>
{showPgpSettings
? c('Action').t`Hide advanced PGP settings`
: c('Action').t`Show advanced PGP settings`}
</LinkButton>
</div>
{showPgpSettings && model ? (
<ContactPgpSettings model={model} setModel={setModel} mailSettings={mailSettings} />
) : null}
</InnerModal>
<FooterModal>
<Button type="reset">{c('Action').t`Cancel`}</Button>
<PrimaryButton loading={isLoading} type="submit">
{c('Action').t`Save`}
</PrimaryButton>
</FooterModal>
</ContentModal>
</DialogModal>
);
};
export default ContactEmailSettingsModal;<｜fim▁end｜> | /** |
<|file_name|>SHT21.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from numpy import int16
import time
def connect(route,**args):
'''
route can either be I.I2C , or a radioLink instance
'''
return SHT21(route,**args)
class SHT21():
RESET = 0xFE
TEMP_ADDRESS = 0xF3
HUMIDITY_ADDRESS = 0xF5
selected=0xF3
NUMPLOTS=1
PLOTNAMES = ['Data']
ADDRESS = 0x40
name = 'Humidity/Temperature'
def __init__(self,I2C,**args):
self.I2C=I2C
self.ADDRESS = args.get('address',self.ADDRESS)
self.name = 'Humidity/Temperature'
'''
try:
print ('switching baud to 400k')
self.I2C.configI2C(400e3)
except:
print ('FAILED TO CHANGE BAUD RATE')
'''
self.params={'selectParameter':['temperature','humidity']}
self.init('')
def init(self,x):
self.I2C.writeBulk(self.ADDRESS,[self.RESET]) #soft reset
time.sleep(0.1)
def rawToTemp(self,vals):
if vals:
if len(vals):
v = (vals[0]<<8)|(vals[1]&0xFC) #make integer & remove status bits
v*=175.72; v/= (1<<16); v-=46.85
return [v]
return False
def rawToRH(self,vals):
if vals:
if len(vals):
v = (vals[0]<<8)|(vals[1]&0xFC) #make integer & remove status bits
v*=125.; v/= (1<<16); v-=6
return [v]
return False
@staticmethod
def _calculate_checksum(data, number_of_bytes):
"""5.7 CRC Checksum using the polynomial given in the datasheet<｜fim▁hole｜> """
# CRC
POLYNOMIAL = 0x131 # //P(x)=x^8+x^5+x^4+1 = 100110001
crc = 0
# calculates 8-Bit checksum with given polynomial
for byteCtr in range(number_of_bytes):
crc ^= (data[byteCtr])
for bit in range(8, 0, -1):
if crc & 0x80:
crc = (crc << 1) ^ POLYNOMIAL
else:
crc = (crc << 1)
return crc
def selectParameter(self,param):
if param=='temperature':self.selected=self.TEMP_ADDRESS
elif param=='humidity':self.selected=self.HUMIDITY_ADDRESS
def getRaw(self):
self.I2C.writeBulk(self.ADDRESS,[self.selected])
if self.selected==self.TEMP_ADDRESS:time.sleep(0.1)
elif self.selected==self.HUMIDITY_ADDRESS:time.sleep(0.05)
vals = self.I2C.simpleRead(self.ADDRESS,3)
if vals:
if self._calculate_checksum(vals,2)!=vals[2]:
return False
print (vals)
if self.selected==self.TEMP_ADDRESS:return self.rawToTemp(vals)
elif self.selected==self.HUMIDITY_ADDRESS:return self.rawToRH(vals)<｜fim▁end｜> | Credits: https://github.com/jaques/sht21_python/blob/master/sht21.py |
<|file_name|>BaseTabFragment.java<|end_file_name|><｜fim▁begin｜>/*
* Copyright 2016 Kejun Xia
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.shipdream.lib.android.mvc.view.viewpager;
import android.os.Bundle;
import android.view.View;
import com.shipdream.lib.android.mvc.FragmentController;
import com.shipdream.lib.android.mvc.MvcFragment;
import com.shipdream.lib.android.mvc.Reason;
import com.shipdream.lib.android.mvc.view.help.LifeCycleMonitor;
public abstract class BaseTabFragment<C extends FragmentController> extends MvcFragment<C> {
protected abstract LifeCycleMonitor getLifeCycleMonitor();
@Override
public void onViewReady(View view, Bundle savedInstanceState, Reason reason) {
getLifeCycleMonitor().onCreateView(view, savedInstanceState);
getLifeCycleMonitor().onViewCreated(view, savedInstanceState);
super.onViewReady(view, savedInstanceState, reason);
getLifeCycleMonitor().onViewReady(view, savedInstanceState, reason);
}
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
getLifeCycleMonitor().onCreate(savedInstanceState);
}
@Override
public void onResume() {
super.onResume();
getLifeCycleMonitor().onResume();
}
@Override
protected void onReturnForeground() {
super.onReturnForeground();
getLifeCycleMonitor().onReturnForeground();
}
@Override
protected void onPushToBackStack() {
super.onPushToBackStack();
getLifeCycleMonitor().onPushToBackStack();
}
@Override
protected void onPopAway() {
super.onPopAway();
getLifeCycleMonitor().onPopAway();
}
@Override
protected void onPoppedOutToFront() {
super.onPoppedOutToFront();
getLifeCycleMonitor().onPoppedOutToFront();
}
@Override
protected void onOrientationChanged(int lastOrientation, int currentOrientation) {
super.onOrientationChanged(lastOrientation, currentOrientation);
getLifeCycleMonitor().onOrientationChanged(lastOrientation, currentOrientation);
}
@Override
public void onDestroyView() {
super.onDestroyView();<｜fim▁hole｜> public void onDestroy() {
getLifeCycleMonitor().onDestroy();
super.onDestroy();
}
}<｜fim▁end｜> | getLifeCycleMonitor().onDestroyView();
}
@Override |
<|file_name|>slack_logic.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Business logic - gets request in from Slack, does stuff, sends requests back to Slack.
Notes for developers who want to add or change functionality: You're in the right module.
* If you were to run this behind a server (Flask would work well) instead of behind AWS Lambda,
it would be quite easy. Make your server take a request from Slack. You are responsible
all the way up to parsing Slack's request parameters so they are a tidy dict.<｜fim▁hole｜>"""
import json
import random
import slacker
from funcy import memoize, retry
import yobot_config_and_secrets
from messages import get_introduction_message, generate_random_introduction_text
#=============================#
# Configuration #
#=============================#
#TODO(hangtwenty) I want to redo all this config stuff. Probably port to Flask/Zappa, and let those conventions guide.
# Since we expect users to freely modify the yobot_config_and_secrets file, let's eagerly
# affirm that these attributes are set.
# also aliasing them because "YOBOT_" namespacing not needed in this file's code...
BOT_USER_NAME = yobot_config_and_secrets.YOBOT_BOTUSER_NAME
BOT_USER_TOKEN = yobot_config_and_secrets.YOBOT_BOTUSER_TOKEN
SLACK_WEBHOOK_TOKEN = yobot_config_and_secrets.YOBOT_WEBHOOK_TOKEN
SLACK_SLASHCOMMAND_TOKEN = yobot_config_and_secrets.YOBOT_SLASHCOMMAND_TOKEN
BROADCAST_CHANNEL_NAME = yobot_config_and_secrets.YOBOT_BROADCASTCHANNEL_NAME
DEBUG = yobot_config_and_secrets.YOBOT_DEBUG
if unicode(DEBUG).lower() == "false":
DEBUG = False
WEBHOOK = 'webhook'
SLASHCOMMAND = 'slash_command'
AUTH_TOKENS_EXPECTED_BY_REQUEST_TYPE = {
WEBHOOK: SLACK_WEBHOOK_TOKEN,
SLASHCOMMAND: SLACK_SLASHCOMMAND_TOKEN
}
SENSITIVE_TOKENS_TO_SANITIZE = (SLACK_SLASHCOMMAND_TOKEN, BOT_USER_TOKEN, SLACK_WEBHOOK_TOKEN)
COMMAND_BROADCAST = "broadcast"
SLACK_CALL_EXPECTED_KEYS_COMMON = [
'token',
'team_id',
'team_domain',
'channel_id',
'channel_name',
'user_id',
'user_name',
# 'timestamp',
# 'text',
# btw - does not include 'command' or 'trigger_word' because those are exclusive to
# Slash Command or Webhook request APIs specifically.
]
FIELDNAME_USER_ID = 'id'
FIELDNAME_USER_NAME = 'name'
NULLHANDLE = "nullhandle" # defined by Slack, it seems
#=============================================#
# Slack-coupled implementation of yobot logic #
#=============================================#
@memoize
def get_slack_api():
slack_api = slacker.Slacker(BOT_USER_TOKEN)
return slack_api
@retry(2)
def handle_slack_request(params_from_slack_request):
""" Main entry point. Validate input, authenticate caller, route to handler.
:param params_from_slack_request:
:return: can be a few kinds of output; this CAN be returned to Slack and shown to end-user
so do NOT put any sensitive stuff in it ;)
"""
_validate_config_or_die()
_validate_input_from_slack_or_die(params_from_slack_request)
get_slack_request_type_and_authenticate(params_from_slack_request)
slack_request_type = get_slack_request_type(params_from_slack_request)
optional_command = ""
if slack_request_type == SLASHCOMMAND:
optional_command += " " + params_from_slack_request.get(u'command')
optional_command += " " + params_from_slack_request.get(u'text', u'<None>')
if COMMAND_BROADCAST in optional_command:
broadcast_channel_name = broadcast()
displayable_result = broadcast()
else:
# default command.
displayable_result = random_introduction(params_from_slack_request)
# XXX(hangtwenty) bit of an odd case I don't understand,
# if the incoming call was a Webhook rather than /slashcommand etc.,
# at this point in flow we've executed the command for them, but we don't want to return a string,
# (if you do, it seems to only return 1 letter the user, bit ugly?)
# anyway I found out (back in Hackathon) if we return true, it 'just works' in this case. I'd like to understand.
if get_slack_request_type(params_from_slack_request) == WEBHOOK:
displayable_result = True
return displayable_result
def broadcast():
""" Yobot broadcasts and introductory message to the broadcast channel (probably #general or #random).
"""
slack_api = get_slack_api()
broadcast_channel_name = BROADCAST_CHANNEL_NAME
try:
slack_api.chat.post_message(
broadcast_channel_name,
get_introduction_message(),
as_user=BOT_USER_NAME,
)
except Exception as e:
raise Exception(
e.message + " ... broadcast_channel_name = {}".format(broadcast_channel_name))
displayable_result = u"yobot introduced herself to {}".format(broadcast_channel_name)
return displayable_result
def random_introduction(params_from_slack_request):
""" Handle the plain `/yobot` case where someone wants a random introduction/prompt.
"""
slack_api = get_slack_api()
user_id_who_called_yobot = params_from_slack_request['user_id']
if not user_id_who_called_yobot:
raise ValueError("Can't message you: no user_id specified.")
users_list_response = slack_api.users.list()
users = users_list_response.body['members']
user_to_introduce = choose_a_user(users)
introduce_username = user_to_introduce.get(FIELDNAME_USER_NAME, None)
introduce_readable_name = _get_readable_name(user_to_introduce)
if not introduce_readable_name:
raise ValueError("Somehow the user I chose has NO real_name, username, or email. "
"This should never happen but it did.")
msg = generate_random_introduction_text(
introduce_readable_name,
introduce_username,
introducing_to_oneself=(user_id_who_called_yobot == user_to_introduce[FIELDNAME_USER_ID]))
if DEBUG:
debug_msg = _get_debug_message(params_from_slack_request)
msg = debug_msg + msg
# ensure-open a direct-message channel with the user who called, then message them
channel_im_with_caller = slack_api.im.open(user=user_id_who_called_yobot).body['channel']['id']
slack_api.chat.post_message(
channel_im_with_caller,
msg,
as_user=BOT_USER_NAME,
)
displayable_result = \
u"{as_user} just sent you a private message. Take a look.".format(
as_user=BOT_USER_NAME, introduce_username=introduce_username)
return displayable_result
class TargetUserInvalidException(ValueError):
""" Raised when a user isn't good to message, for our purposes.
"""
@retry(10, errors=TargetUserInvalidException)
def choose_a_user(users):
""" Chose a user from list (pseudo)randomly. Raise exception if deleted or has no username.
@retry decorator means normally exception won't reach end-user; we'll keep choosing up to
N times until we find a good one.
:param users: list of user-type JSON objects from Slack api (like users.list API method)
:return: a single user-type JSON object
"""
introduce_user = random.choice(users)
_debug_user_string = u"This user (id={} and email={}) ".format(
introduce_user.get(FIELDNAME_USER_ID, None),
introduce_user.get('email', None))
if introduce_user[FIELDNAME_USER_NAME] == NULLHANDLE:
# This can happen, it's seemingly when someone registered sorta but didn't finish.
raise TargetUserInvalidException(
u"{} has a null username ({!r}).".format(_debug_user_string, NULLHANDLE))
if introduce_user['deleted']:
raise TargetUserInvalidException("{} has been deleted.".format(_debug_user_string))
return introduce_user
def _get_readable_name(user):
""" Try to get a name besides the @handle, hopefully readable (like their real name).
Falls back to other things, because if they don't have a real name listed,
:param user: the user-type JSON object from Slack API.
:return:
"""
username = user[FIELDNAME_USER_NAME]
profile = user['profile']
real_name = profile.get('real_name', None)
email = profile.get('email', None)
skype = profile.get('skype', None)
if skype:
leftward_arrow_emoji = u"⬅️"
skype = u"{} ({} Skype username)".format(skype, leftward_arrow_emoji)
introduce_readable_name = real_name or email or skype or username
return introduce_readable_name
def get_slack_request_type(params_from_slack):
""" Supported requests from Slack are "Slash Command" and "Outgoing Webhook" . Which is this?
:param params_from_slack:
:return:
"""
if 'command' in params_from_slack:
return SLASHCOMMAND
elif 'trigger_word' in params_from_slack:
return WEBHOOK
else:
raise ValueError("Invalid call (params did not not match Slack API).")
#=============================#
# Validators & authentication #
#=============================#
#TODO(hangtwenty) refactor into its own module, but I think I want to get a handle on better config/env/secrets
# stuff first; and before *THAT* I might convert this to use Flask/Zappa ...
def get_slack_request_type_and_authenticate(params_from_slack):
request_type = get_slack_request_type(params_from_slack)
_authenticate(request_type, params_from_slack['token'])
def _validate_input_from_slack_or_die(params_from_slack):
""" Just because it seems "right," fully validate the request params from Slack expected.
Because input validation is a good idea ... validate the param keys in the Slack call.
- https://api.slack.com/getting-started
- https://api.slack.com/outgoing-webhooks
- https://api.slack.com/slash-commands
:param params_from_slack: Parsed parameters POST'd by Slack. These will be the same
params whether the POST comes from an "Outgoing Webhook" or a "Slash Command" integration.
:raise: ValueError
"""
for key in SLACK_CALL_EXPECTED_KEYS_COMMON:
if key not in params_from_slack:
raise ValueError(
"Invalid call (params did not not match Slack API). Expected key {!r} to be in "
"params incoming from Slack call.".format(key))
def _authenticate(slack_request_type, token):
""" Authenticate an incoming `token` against a privileged token.
Tokens allowed are set by configuration.
:param token: The `token` parameter from the incoming request. This must equal
one of the two configured tokens for "Outgoing Webhook" or "Slash Command"
:raise: ValueError
"""
authed = False
if slack_request_type == WEBHOOK:
if SLACK_SLASHCOMMAND_TOKEN:
expected_token = AUTH_TOKENS_EXPECTED_BY_REQUEST_TYPE[WEBHOOK]
if expected_token and token == expected_token:
authed = True
elif slack_request_type == SLASHCOMMAND:
expected_token = AUTH_TOKENS_EXPECTED_BY_REQUEST_TYPE[SLASHCOMMAND]
if expected_token and token == expected_token:
authed = True
if not authed:
raise ValueError("Forbidden.")
return authed
@memoize
def _validate_config_or_die():
""" Die if any essential configuration is not set. (If it's None or 0.)
:raise: ValueError
"""
if not BOT_USER_TOKEN:
raise ValueError("Need a token for the bot user in order to make API calls to Slack.")
if not BOT_USER_NAME:
raise ValueError("You should set a bot username.")
if not SLACK_WEBHOOK_TOKEN and not SLACK_SLASHCOMMAND_TOKEN:
# TODO(hangtwenty) clean up this verbose error message; move this "dev-only" suggestion
# to README.
raise ValueError("Need at least one of the two from-Slack auth tokens to be configured, "
"in order to _authenticate the caller. ")
return True
def _sanitize(output_that_end_user_might_see):
for sensitive_string in SENSITIVE_TOKENS_TO_SANITIZE:
output_that_end_user_might_see = output_that_end_user_might_see.replace(sensitive_string,
'<redacted>')
# double check...
for sensitive_string in SENSITIVE_TOKENS_TO_SANITIZE:
assert not sensitive_string in output_that_end_user_might_see
return output_that_end_user_might_see
def _get_debug_message(params_from_slack):
"""
:param params_from_slack: params from slack. (FORMPARAMS field.) What Slack POSTs.
:return: Event, formatted nicely for adding into Slack message,
also with any known-sensitive auth tokens removed
"""
dumped = json.dumps(params_from_slack, indent=2)
sanitized = _sanitize(dumped)
debug_msg = u"```\n[DEBUG]\nparams_from_slack = {}\n```\n".format(sanitized)
return debug_msg<｜fim▁end｜> | This module - handle_slack_request, specifically - will take it from there.
* If you were to port to another messaging client, this is the "guts" that you would port. |
<|file_name|>text.mako.rs<|end_file_name|><｜fim▁begin｜>/* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
<%namespace name="helpers" file="/helpers.mako.rs" />
<% from data import Method %>
<% data.new_style_struct("Text",
inherited=False,
gecko_name="TextReset",
additional_methods=[Method("has_underline", "bool"),
Method("has_overline", "bool"),
Method("has_line_through", "bool")]) %>
${helpers.single_keyword("text-overflow", "clip ellipsis")}
${helpers.single_keyword("unicode-bidi", "normal embed isolate bidi-override isolate-override plaintext")}
<%helpers:longhand name="text-decoration" custom_cascade="${product == 'servo'}">
use cssparser::ToCss;
use std::fmt;
use values::computed::ComputedValueAsSpecified;
impl ComputedValueAsSpecified for SpecifiedValue {}
#[derive(PartialEq, Eq, Copy, Clone, Debug, HeapSizeOf)]
pub struct SpecifiedValue {
pub underline: bool,
pub overline: bool,
pub line_through: bool,
// 'blink' is accepted in the parser but ignored.
// Just not blinking the text is a conforming implementation per CSS 2.1.
}
impl ToCss for SpecifiedValue {
fn to_css<W>(&self, dest: &mut W) -> fmt::Result where W: fmt::Write {
let mut space = false;
if self.underline {<｜fim▁hole｜> if space {
try!(dest.write_str(" "));
}
try!(dest.write_str("overline"));
space = true;
}
if self.line_through {
if space {
try!(dest.write_str(" "));
}
try!(dest.write_str("line-through"));
}
Ok(())
}
}
pub mod computed_value {
pub type T = super::SpecifiedValue;
#[allow(non_upper_case_globals)]
pub const none: T = super::SpecifiedValue {
underline: false, overline: false, line_through: false
};
}
#[inline] pub fn get_initial_value() -> computed_value::T {
computed_value::none
}
/// none | [ underline || overline || line-through || blink ]
pub fn parse(_context: &ParserContext, input: &mut Parser) -> Result<SpecifiedValue, ()> {
let mut result = SpecifiedValue {
underline: false, overline: false, line_through: false,
};
if input.try(|input| input.expect_ident_matching("none")).is_ok() {
return Ok(result)
}
let mut blink = false;
let mut empty = true;
while let Ok(ident) = input.expect_ident() {
match_ignore_ascii_case! { ident,
"underline" => if result.underline { return Err(()) }
else { empty = false; result.underline = true },
"overline" => if result.overline { return Err(()) }
else { empty = false; result.overline = true },
"line-through" => if result.line_through { return Err(()) }
else { empty = false; result.line_through = true },
"blink" => if blink { return Err(()) }
else { empty = false; blink = true },
_ => break
}
}
if !empty { Ok(result) } else { Err(()) }
}
% if product == "servo":
fn cascade_property_custom<C: ComputedValues>(
_declaration: &PropertyDeclaration,
_inherited_style: &C,
context: &mut computed::Context<C>,
_seen: &mut PropertyBitField,
_cacheable: &mut bool,
_error_reporter: &mut StdBox<ParseErrorReporter + Send>) {
longhands::_servo_text_decorations_in_effect::derive_from_text_decoration(context);
}
% endif
</%helpers:longhand>
${helpers.single_keyword("text-decoration-style",
"-moz-none solid double dotted dashed wavy",
products="gecko")}
${helpers.predefined_type(
"text-decoration-color", "CSSColor",
"CSSParserColor::RGBA(RGBA { red: 0.0, green: 0.0, blue: 0.0, alpha: 1.0 })",
products="gecko")}<｜fim▁end｜> | try!(dest.write_str("underline"));
space = true;
}
if self.overline { |
<|file_name|>main.cpp<|end_file_name|><｜fim▁begin｜>#include <iostream>
#include <ifaddrs.h>
#include <stdio.h>
#include <stdlib.h>
#include <signal.h>
#include <stdio.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#include <time.h>
#include <syslog.h>
#include <dlfcn.h><｜fim▁hole｜>#include <sys/socket.h>
#include <netdb.h>
#include <string.h>
#include "webserver_api_functions.h"
static void termination_handler(int signum) {
WebserverShutdownHandler();
}
static void sig_pipe_hanler(int signum) {
//printf("Sig Pipe\n");
}
DEFINE_WEBSOCKET_HANDLER( "TestSocket" , TestSocket ) {
switch (signal) {
case WEBSOCKET_CONNECT:
printf("Websocket API Connect TestSocket : %s \n", guid);
break;
case WEBSOCKET_DISCONNECT:
printf("Websocket API Disconnect TestSocket : %s \n", guid);
break;
case WEBSOCKET_MSG:
printf("Websocket API TestSocket Msg 1 %s\n", msg);
WebsocketSendTextFrame(guid, msg, strlen(msg));
break;
}
}
int main(int argc, char **argv) {
if (signal(SIGINT, termination_handler) == SIG_IGN ) signal(SIGINT, SIG_IGN);
if (signal(SIGHUP, termination_handler) == SIG_IGN ) signal(SIGHUP, SIG_IGN);
if (signal(SIGTERM, termination_handler) == SIG_IGN ) signal(SIGTERM, SIG_IGN);
if (signal(SIGPIPE, sig_pipe_hanler) == SIG_IGN ) signal(SIGPIPE, SIG_IGN);
if (0 == WebserverInit()) {
WebserverAddFileDir("", "www");
WebserverConfigSetInt("port",8080);
REGISTER_WEBSOCKET_HANDLER ( TestSocket );
WebserverStart();
}
WebserverShutdown();
return 0;
}<｜fim▁end｜> | |
<|file_name|>adminRouter.js<|end_file_name|><｜fim▁begin｜>var express = require('express'),
router = express.Router(),
adminModel = require('../models/adminModel'),
moment = require('moment'),
helperFun = require('../lib/helperFunc'),
md5 = require('md5');
router
.get('',function (request,response){
adminModel.find({},{"__v" : 0, "password" : 0, "emailCode" : 0},function (err,result){
if(err){
return response.status(500).send({"message" : "Internal Server Error" , "err" : err}).end();
}
response.status(200).send(result).end();
})
})
.post('/login',function (request,response){
var username = request.body.username;
var password = md5(request.body.password);
if((username == null || '') || (password == '' || null)){
return response.status(400).send({'message' : 'Parameters are missing'}).end();
}
adminModel.findOne({ $and:[ {'username':username}, {'password':password}]}, function (err,admin){
if(err){
return response.status(500).send({'message' : 'Internal Server error. Please try again later','err' :err}).end();
}
if(admin == null){
return response.status(400).send({'message' : 'Invalid Username OR Password'}).end();
}
response.status(200).send(admin).end();
})
})
.post('/update',function (request,response){
var adminObj = request.body.admin;
if(adminObj == null){
return response.status(400).send({'message' : 'Parameters are missing'}).end();
}
adminModel.findOne({"_id" : adminObj._id,'password' : md5(adminObj.password)},function (err,admin){
if(err){
return response.status(500).send({'message' : 'Internal Server error. Please try again later','err' :err}).end();
}
if(admin == null){
return response.status(400).send({'message' : 'Invalid Password'}).end();
}
admin.password = md5(adminObj.password);
admin.username = adminObj.username;<｜fim▁hole｜> admin.email = adminObj.email;
admin.save(function (error,adminNew){
if(error){
return response.status(500).send({'message' : 'Internal Server error. Please try again later','err' :err}).end();
}
response.status(200).send(adminNew).end();
})
})
})
.post('/addAdmin', function (request,response){
var admin = request.body.admin;
if(admin == null || ''){
return response.status(400).send({'message' : 'Parameters are missing'}).end();
}
admin.password = md5(admin.password);
// admin.createdOn = moment().format('MM-DD-YYYY hh:mm a');
var newAdmin = new adminModel(admin);
newAdmin.save(function (err,result){
if(err){
return response.status(500).send({'message' : 'Internal Server error. Please try again later','err' :err}).end();
}
response.status(200).send(result).end();
});
})
module.exports = router;<｜fim▁end｜> | admin.firstName = adminObj.firstName;
admin.lastName = adminObj.lastName; |
<|file_name|>freeporn.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
#------------------------------------------------------------
import sys
PY3 = False
if sys.version_info[0] >= 3: PY3 = True; unicode = str; unichr = chr; long = int
if PY3:
import urllib.parse as urlparse # Es muy lento en PY2. En PY3 es nativo
else:
import urlparse # Usamos el nativo de PY2 que es más rápido
import re
from platformcode import config, logger
from core import scrapertools
from core.item import Item
from core import servertools
from core import httptools
host = 'https://frprn.com'
def mainlist(item):
logger.info()
itemlist = []
itemlist.append(item.clone(title="Nuevas" , action="lista", url=host))
itemlist.append(item.clone(title="Mejor valorada" , action="lista", url=host + "/top-rated/"))
itemlist.append(item.clone(title="Mas largo" , action="lista", url=host + "/longest/"))
itemlist.append(item.clone(title="Modelos" , action="categorias", url=host + "/models/most-popular/"))
itemlist.append(item.clone(title="Categorias" , action="categorias", url=host + "/categories/"))
itemlist.append(item.clone(title="Buscar", action="search"))
return itemlist
def search(item, texto):
logger.info()
texto = texto.replace(" ", "%20")
item.url = "%s/search/%s/?mode=async&action=get_block&block_id=list_videos_videos&from2=%s&fromStart=1&fromEnd=%s" % (host, texto,1,1)
try:
return lista(item)<｜fim▁hole｜> except:
import sys
for line in sys.exc_info():
logger.error("%s" % line)
return []
def categorias(item):
logger.info()
itemlist = []
data = httptools.downloadpage(item.url).data
data = re.sub(r"\n|\r|\t| |<br>", "", data)
patron = '<li class="thumb thumb-\w+">.*?'
patron += '<a href="([^"]+)">.*?'
patron += '<img class="lazy" data-original="([^"]+)".*?'
patron += '<div class="title">(.*?)</a>'
matches = re.compile(patron,re.DOTALL).findall(data)
for scrapedurl,scrapedthumbnail,scrapedtitle in matches:
scrapedplot = ""
title = scrapertools.find_single_match(scrapedtitle,'<div class="text">([^<]+)<')
if "/categories/" in item.url:
cantidad = scrapertools.find_single_match(scrapedtitle,'<div class="count">(\d+)</div>')
scrapedtitle = scrapertools.find_single_match(scrapedtitle,'<div class="name">([^<]+)</div>')
title = "%s (%s)" %(scrapedtitle, cantidad)
scrapedurl = urlparse.urljoin(item.url,scrapedurl)
itemlist.append(item.clone(action="lista", title=title, url=scrapedurl,
fanart=scrapedthumbnail, thumbnail=scrapedthumbnail, plot=scrapedplot) )
next_page = scrapertools.find_single_match(data,'<li class="pagination-next"><a href="([^"]+)">')
if next_page!="":
next_page = urlparse.urljoin(item.url,next_page)
itemlist.append(item.clone(action="categorias", title="[COLOR blue]Página Siguiente >>[/COLOR]", url=next_page) )
return itemlist
def lista(item):
logger.info()
itemlist = []
data = httptools.downloadpage(item.url).data
data = re.sub(r"\n|\r|\t| |<br>", "", data)
patron = '<div class="thumb">.*?'
patron += '<a href="([^"]+)".*?'
patron += '<img class="lazy" data-original="([^"]+)" alt="([^"]+)".*?'
matches = re.compile(patron,re.DOTALL).findall(data)
for scrapedurl,scrapedthumbnail,scrapedtitle in matches:
url = urlparse.urljoin(item.url,scrapedurl)
duracion = ""
title = "[COLOR yellow]%s[/COLOR] %s" % (duracion, scrapedtitle)
contentTitle = title
thumbnail = scrapedthumbnail
plot = ""
year = ""
action = "play"
if logger.info() == False:
action = "findvideos"
itemlist.append(item.clone(action=action, title=title, url=url, thumbnail=thumbnail,
fanart=thumbnail, plot=plot, contentTitle = contentTitle))
patron = 'data-from="([^"]+)" data-id="([^"]+)" data-total="([^"]+)" data-page="([^"]+)" data-url="([^"]+)"'
matches = re.compile(patron,re.DOTALL).findall(data)
for dfrom,id,total,page,purl in matches:
page = int(page)
page += page
next_page = "%s?action=get_block&block_id=%s&%s=%s" %(purl, id, dfrom, page)
itemlist.append(item.clone(action="lista", title="[COLOR blue]Página Siguiente >>[/COLOR]", url=next_page) )
return itemlist
def findvideos(item):
logger.info()
itemlist = []
itemlist.append(item.clone(action="play", title= "%s", contentTitle = item.title, url=item.url))
itemlist = servertools.get_servers_itemlist(itemlist, lambda i: i.title % i.server.capitalize())
return itemlist
def play(item):
logger.info()
itemlist = []
itemlist.append(item.clone(action="play", title= "%s", contentTitle = item.title, url=item.url))
itemlist = servertools.get_servers_itemlist(itemlist, lambda i: i.title % i.server.capitalize())
return itemlist<｜fim▁end｜> | |
<|file_name|>removeWeight.js<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>export const removeWeight = (element) => {
try {
element.removeAttribute('data-weight');
} catch (e) {
// We are now in IE11 territory
if (!!element) {
element.setAttribute('data-weight', null);
}
}
};<｜fim▁end｜> | |
<|file_name|>no-exports-typo.js<|end_file_name|><｜fim▁begin｜>'use strict';
var eslint = require('eslint');
var ruleTester = new eslint.RuleTester();
ruleTester.run('rules/no-exports-typo', require('../rules/no-exports-typo'), {
valid: [
'module.exports = true;',
'module.exports.house()',<｜fim▁hole｜> ],
invalid: [
{ code: 'module.exprts = 123;', errors: [ { message: 'Expected module.exports.' }] },
{ code: 'module.exprts = 123;', errors: [ { message: 'Expected module.exports.' }] },
{ code: 'module.export = 123;', errors: [ { message: 'Expected module.exports.' }] },
{ code: 'module.export()', errors: [ { message: 'Expected module.exports.' }] },
{ code: 'module.extorts.house()', errors: [ { message: 'Expected module.exports.' }] }
]
});<｜fim▁end｜> | 'exports.mouse = 234',
'exports = module.exports = {}',
'var House = module.exports = function() {}' |
<|file_name|>mod.rs<|end_file_name|><｜fim▁begin｜>pub use self::arp::ArpScheme;
pub use self::config::NetConfigScheme;
pub use self::ethernet::EthernetScheme;
pub use self::icmp::IcmpScheme;
pub use self::ip::IpScheme;
pub use self::tcp::TcpScheme;<｜fim▁hole｜>
pub mod arp;
pub mod config;
pub mod ethernet;
pub mod icmp;
pub mod ip;
pub mod tcp;
pub mod udp;<｜fim▁end｜> | pub use self::udp::UdpScheme; |
<|file_name|>partner.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
from openerp import fields, models, api
import re
class res_partner(models.Model):
_inherit = 'res.partner'
#def _get_default_tp_type(self):
# return self.env.ref('l10n_cl_invoice.res_IVARI').id
# todo: pasar los valores por defecto a un nuevo módulo
# por ejemplo "l10n_cl_res_partner_defaults
#def _get_default_doc_type(self):
# return self.env.ref('l10n_cl_invoice.dt_RUT').id
responsability_id = fields.Many2one(
'sii.responsability', 'Sale/Purchase Doc Type')
# dejamos el default pendiente para instalar en otro modulo,
# porque da problemas en instalaciones nuevas
# 'sii.responsability', 'Responsability', default = _get_default_tp_type)
document_type_id = fields.Many2one(
'sii.document_type', 'ID Type')
# 'sii.document_type', 'Document type', default = _get_default_doc_type)
document_number = fields.Char('Document number', size=64)
start_date = fields.Date('Start-up Date')
tp_sii_code = fields.Char('Tax Payer SII Code', compute='_get_tp_sii_code',
readonly=True)
@api.multi
@api.onchange('responsability_id')
def _get_tp_sii_code(self):
for record in self:<｜fim▁hole｜> record.tp_sii_code=str(record.responsability_id.tp_sii_code)
@api.onchange('document_number', 'document_type_id')
def onchange_document(self):
mod_obj = self.env['ir.model.data']
if self.document_number and ((
'sii.document_type',
self.document_type_id.id) == mod_obj.get_object_reference(
'l10n_cl_invoice', 'dt_RUT') or ('sii.document_type',
self.document_type_id.id) == mod_obj.get_object_reference(
'l10n_cl_invoice', 'dt_RUN')):
document_number = (
re.sub('[^1234567890Kk]', '', str(
self.document_number))).zfill(9).upper()
self.vat = 'CL%s' % document_number
self.document_number = '%s.%s.%s-%s' % (
document_number[0:2], document_number[2:5],
document_number[5:8], document_number[-1])
elif self.document_number and (
'sii.document_type',
self.document_type_id.id) == mod_obj.get_object_reference(
'l10n_cl_invoice', 'dt_Sigd'):
self.document_number = ''<｜fim▁end｜> | |
<|file_name|>run.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
from lighthouse import app
<｜fim▁hole｜>if __name__ == '__main__':
app.run(host='0.0.0.0', debug=True)<｜fim▁end｜> | |
<|file_name|>tests.py<|end_file_name|><｜fim▁begin｜>from django import forms
from django.contrib import admin
from django.contrib.admin import AdminSite
from django.contrib.auth.backends import ModelBackend
from django.contrib.auth.middleware import AuthenticationMiddleware
from django.contrib.contenttypes.admin import GenericStackedInline
from django.contrib.messages.middleware import MessageMiddleware
from django.contrib.sessions.middleware import SessionMiddleware
from django.core import checks
from django.test import SimpleTestCase, override_settings
from .models import (
Album, Author, Book, City, Influence, Song, State, TwoAlbumFKAndAnE,
)
class SongForm(forms.ModelForm):
pass
class ValidFields(admin.ModelAdmin):
form = SongForm
fields = ['title']
class ValidFormFieldsets(admin.ModelAdmin):
def get_form(self, request, obj=None, **kwargs):
class ExtraFieldForm(SongForm):
name = forms.CharField(max_length=50)
return ExtraFieldForm
fieldsets = (
(None, {
'fields': ('name',),
}),
)
class MyAdmin(admin.ModelAdmin):
def check(self, **kwargs):
return ['error!']
class AuthenticationMiddlewareSubclass(AuthenticationMiddleware):
pass
class MessageMiddlewareSubclass(MessageMiddleware):
pass
class ModelBackendSubclass(ModelBackend):
pass
class SessionMiddlewareSubclass(SessionMiddleware):
pass
@override_settings(
SILENCED_SYSTEM_CHECKS=['fields.W342'], # ForeignKey(unique=True)
INSTALLED_APPS=[
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.messages',
'admin_checks',
],
)
class SystemChecksTestCase(SimpleTestCase):
def test_checks_are_performed(self):
admin.site.register(Song, MyAdmin)
try:
errors = checks.run_checks()
expected = ['error!']
self.assertEqual(errors, expected)
finally:
admin.site.unregister(Song)
@override_settings(INSTALLED_APPS=['django.contrib.admin'])
def test_apps_dependencies(self):
errors = admin.checks.check_dependencies()
expected = [
checks.Error(
"'django.contrib.contenttypes' must be in "
"INSTALLED_APPS in order to use the admin application.",
id="admin.E401",
),
checks.Error(
"'django.contrib.auth' must be in INSTALLED_APPS in order "
"to use the admin application.",
id='admin.E405',
),
checks.Error(
"'django.contrib.messages' must be in INSTALLED_APPS in order "
"to use the admin application.",
id='admin.E406',
),
]
self.assertEqual(errors, expected)
@override_settings(TEMPLATES=[])
def test_no_template_engines(self):
self.assertEqual(admin.checks.check_dependencies(), [
checks.Error(
"A 'django.template.backends.django.DjangoTemplates' "
"instance must be configured in TEMPLATES in order to use "
"the admin application.",
id='admin.E403',
)
])
@override_settings(
TEMPLATES=[{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [],
},
}],
)
def test_context_processor_dependencies(self):
expected = [
checks.Error(
"'django.contrib.auth.context_processors.auth' must be "
"enabled in DjangoTemplates (TEMPLATES) if using the default "
"auth backend in order to use the admin application.",
id='admin.E402',
),
checks.Error(
"'django.contrib.messages.context_processors.messages' must "
"be enabled in DjangoTemplates (TEMPLATES) in order to use "
"the admin application.",
id='admin.E404',
),
checks.Warning(
"'django.template.context_processors.request' must be enabled "
"in DjangoTemplates (TEMPLATES) in order to use the admin "
"navigation sidebar.",
id='admin.W411',
)
]
self.assertEqual(admin.checks.check_dependencies(), expected)
# The first error doesn't happen if
# 'django.contrib.auth.backends.ModelBackend' isn't in
# AUTHENTICATION_BACKENDS.
with self.settings(AUTHENTICATION_BACKENDS=[]):
self.assertEqual(admin.checks.check_dependencies(), expected[1:])
@override_settings(
AUTHENTICATION_BACKENDS=['admin_checks.tests.ModelBackendSubclass'],
TEMPLATES=[{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.request',
'django.contrib.messages.context_processors.messages',
],
},
}],
)
def test_context_processor_dependencies_model_backend_subclass(self):
self.assertEqual(admin.checks.check_dependencies(), [
checks.Error(
"'django.contrib.auth.context_processors.auth' must be "
"enabled in DjangoTemplates (TEMPLATES) if using the default "
"auth backend in order to use the admin application.",
id='admin.E402',
),
])
@override_settings(
TEMPLATES=[
{
'BACKEND': 'django.template.backends.dummy.TemplateStrings',
'DIRS': [],
'APP_DIRS': True,
},
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
],
)
def test_several_templates_backends(self):
self.assertEqual(admin.checks.check_dependencies(), [])
@override_settings(MIDDLEWARE=[])
def test_middleware_dependencies(self):
errors = admin.checks.check_dependencies()
expected = [
checks.Error(
"'django.contrib.auth.middleware.AuthenticationMiddleware' "
"must be in MIDDLEWARE in order to use the admin application.",
id='admin.E408',
),
checks.Error(
"'django.contrib.messages.middleware.MessageMiddleware' "
"must be in MIDDLEWARE in order to use the admin application.",
id='admin.E409',
),
checks.Error(
"'django.contrib.sessions.middleware.SessionMiddleware' "
"must be in MIDDLEWARE in order to use the admin application.",
hint=(
"Insert "
"'django.contrib.sessions.middleware.SessionMiddleware' "
"before "
"'django.contrib.auth.middleware.AuthenticationMiddleware'."
),
id='admin.E410',
),
]
self.assertEqual(errors, expected)
@override_settings(MIDDLEWARE=[
'admin_checks.tests.AuthenticationMiddlewareSubclass',
'admin_checks.tests.MessageMiddlewareSubclass',
'admin_checks.tests.SessionMiddlewareSubclass',
])
def test_middleware_subclasses(self):
self.assertEqual(admin.checks.check_dependencies(), [])
@override_settings(MIDDLEWARE=[
'django.contrib.does.not.Exist',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
])
def test_admin_check_ignores_import_error_in_middleware(self):
self.assertEqual(admin.checks.check_dependencies(), [])
def test_custom_adminsite(self):
class CustomAdminSite(admin.AdminSite):
pass
custom_site = CustomAdminSite()
custom_site.register(Song, MyAdmin)
try:
errors = checks.run_checks()
expected = ['error!']
self.assertEqual(errors, expected)
finally:
custom_site.unregister(Song)
def test_allows_checks_relying_on_other_modeladmins(self):
class MyBookAdmin(admin.ModelAdmin):
def check(self, **kwargs):
errors = super().check(**kwargs)
author_admin = self.admin_site._registry.get(Author)
if author_admin is None:
errors.append('AuthorAdmin missing!')
return errors
class MyAuthorAdmin(admin.ModelAdmin):
pass
admin.site.register(Book, MyBookAdmin)
admin.site.register(Author, MyAuthorAdmin)
try:
self.assertEqual(admin.site.check(None), [])
finally:
admin.site.unregister(Book)
admin.site.unregister(Author)
def test_field_name_not_in_list_display(self):
class SongAdmin(admin.ModelAdmin):
list_editable = ["original_release"]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'list_editable[0]' refers to 'original_release', "
"which is not contained in 'list_display'.",
obj=SongAdmin,
id='admin.E122',
)
]
self.assertEqual(errors, expected)
def test_list_editable_not_a_list_or_tuple(self):
class SongAdmin(admin.ModelAdmin):
list_editable = 'test'
self.assertEqual(SongAdmin(Song, AdminSite()).check(), [
checks.Error(
"The value of 'list_editable' must be a list or tuple.",
obj=SongAdmin,
id='admin.E120',
)
])
def test_list_editable_missing_field(self):
class SongAdmin(admin.ModelAdmin):
list_editable = ('test',)
self.assertEqual(SongAdmin(Song, AdminSite()).check(), [
checks.Error(
"The value of 'list_editable[0]' refers to 'test', which is "
"not an attribute of 'admin_checks.Song'.",
obj=SongAdmin,
id='admin.E121',
)
])
def test_readonly_and_editable(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ["original_release"]
list_display = ["pk", "original_release"]
list_editable = ["original_release"]
fieldsets = [
(None, {
"fields": ["title", "original_release"],
}),
]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'list_editable[0]' refers to 'original_release', "
"which is not editable through the admin.",
obj=SongAdmin,
id='admin.E125',
)
]
self.assertEqual(errors, expected)
def test_editable(self):
class SongAdmin(admin.ModelAdmin):
list_display = ["pk", "title"]
list_editable = ["title"]
fieldsets = [
(None, {
"fields": ["title", "original_release"],
}),
]
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_custom_modelforms_with_fields_fieldsets(self):
"""
# Regression test for #8027: custom ModelForms with fields/fieldsets
"""
errors = ValidFields(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_custom_get_form_with_fieldsets(self):
"""
The fieldsets checks are skipped when the ModelAdmin.get_form() method
is overridden.
"""
errors = ValidFormFieldsets(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_fieldsets_fields_non_tuple(self):
"""
The first fieldset's fields must be a list/tuple.
"""
class NotATupleAdmin(admin.ModelAdmin):
list_display = ["pk", "title"]
list_editable = ["title"]
fieldsets = [
(None, {
"fields": "title" # not a tuple
}),
]
errors = NotATupleAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'fieldsets[0][1]['fields']' must be a list or tuple.",
obj=NotATupleAdmin,
id='admin.E008',
)
]
self.assertEqual(errors, expected)
def test_nonfirst_fieldset(self):
"""
The second fieldset's fields must be a list/tuple.
"""
class NotATupleAdmin(admin.ModelAdmin):
fieldsets = [
(None, {
"fields": ("title",)
}),
('foo', {
"fields": "author" # not a tuple
}),
]
errors = NotATupleAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'fieldsets[1][1]['fields']' must be a list or tuple.",
obj=NotATupleAdmin,
id='admin.E008',
)
]
self.assertEqual(errors, expected)
def test_exclude_values(self):
"""
Tests for basic system checks of 'exclude' option values (#12689)
"""
class ExcludedFields1(admin.ModelAdmin):
exclude = 'foo'
errors = ExcludedFields1(Book, AdminSite()).check()
expected = [
checks.Error(
"The value of 'exclude' must be a list or tuple.",
obj=ExcludedFields1,
id='admin.E014',
)
]
self.assertEqual(errors, expected)
def test_exclude_duplicate_values(self):
class ExcludedFields2(admin.ModelAdmin):
exclude = ('name', 'name')
errors = ExcludedFields2(Book, AdminSite()).check()
expected = [
checks.Error(
"The value of 'exclude' contains duplicate field(s).",
obj=ExcludedFields2,
id='admin.E015',
)
]
self.assertEqual(errors, expected)
def test_exclude_in_inline(self):
class ExcludedFieldsInline(admin.TabularInline):
model = Song
exclude = 'foo'
class ExcludedFieldsAlbumAdmin(admin.ModelAdmin):
model = Album
inlines = [ExcludedFieldsInline]
errors = ExcludedFieldsAlbumAdmin(Album, AdminSite()).check()
expected = [
checks.Error(
"The value of 'exclude' must be a list or tuple.",
obj=ExcludedFieldsInline,
id='admin.E014',
)
]
self.assertEqual(errors, expected)
def test_exclude_inline_model_admin(self):
"""
Regression test for #9932 - exclude in InlineModelAdmin should not
contain the ForeignKey field used in ModelAdmin.model
"""
class SongInline(admin.StackedInline):
model = Song
exclude = ['album']
class AlbumAdmin(admin.ModelAdmin):
model = Album
inlines = [SongInline]
errors = AlbumAdmin(Album, AdminSite()).check()
expected = [
checks.Error(
"Cannot exclude the field 'album', because it is the foreign key "
"to the parent model 'admin_checks.Album'.",
obj=SongInline,
id='admin.E201',
)
]
self.assertEqual(errors, expected)
def test_valid_generic_inline_model_admin(self):
"""
Regression test for #22034 - check that generic inlines don't look for
normal ForeignKey relations.
"""
class InfluenceInline(GenericStackedInline):
model = Influence
class SongAdmin(admin.ModelAdmin):
inlines = [InfluenceInline]
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_generic_inline_model_admin_non_generic_model(self):
"""
A model without a GenericForeignKey raises problems if it's included
in a GenericInlineModelAdmin definition.<｜fim▁hole｜> class SongAdmin(admin.ModelAdmin):
inlines = [BookInline]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"'admin_checks.Book' has no GenericForeignKey.",
obj=BookInline,
id='admin.E301',
)
]
self.assertEqual(errors, expected)
def test_generic_inline_model_admin_bad_ct_field(self):
"""
A GenericInlineModelAdmin errors if the ct_field points to a
nonexistent field.
"""
class InfluenceInline(GenericStackedInline):
model = Influence
ct_field = 'nonexistent'
class SongAdmin(admin.ModelAdmin):
inlines = [InfluenceInline]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"'ct_field' references 'nonexistent', which is not a field on 'admin_checks.Influence'.",
obj=InfluenceInline,
id='admin.E302',
)
]
self.assertEqual(errors, expected)
def test_generic_inline_model_admin_bad_fk_field(self):
"""
A GenericInlineModelAdmin errors if the ct_fk_field points to a
nonexistent field.
"""
class InfluenceInline(GenericStackedInline):
model = Influence
ct_fk_field = 'nonexistent'
class SongAdmin(admin.ModelAdmin):
inlines = [InfluenceInline]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"'ct_fk_field' references 'nonexistent', which is not a field on 'admin_checks.Influence'.",
obj=InfluenceInline,
id='admin.E303',
)
]
self.assertEqual(errors, expected)
def test_generic_inline_model_admin_non_gfk_ct_field(self):
"""
A GenericInlineModelAdmin raises problems if the ct_field points to a
field that isn't part of a GenericForeignKey.
"""
class InfluenceInline(GenericStackedInline):
model = Influence
ct_field = 'name'
class SongAdmin(admin.ModelAdmin):
inlines = [InfluenceInline]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"'admin_checks.Influence' has no GenericForeignKey using "
"content type field 'name' and object ID field 'object_id'.",
obj=InfluenceInline,
id='admin.E304',
)
]
self.assertEqual(errors, expected)
def test_generic_inline_model_admin_non_gfk_fk_field(self):
"""
A GenericInlineModelAdmin raises problems if the ct_fk_field points to
a field that isn't part of a GenericForeignKey.
"""
class InfluenceInline(GenericStackedInline):
model = Influence
ct_fk_field = 'name'
class SongAdmin(admin.ModelAdmin):
inlines = [InfluenceInline]
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"'admin_checks.Influence' has no GenericForeignKey using "
"content type field 'content_type' and object ID field 'name'.",
obj=InfluenceInline,
id='admin.E304',
)
]
self.assertEqual(errors, expected)
def test_app_label_in_admin_checks(self):
class RawIdNonexistentAdmin(admin.ModelAdmin):
raw_id_fields = ('nonexistent',)
errors = RawIdNonexistentAdmin(Album, AdminSite()).check()
expected = [
checks.Error(
"The value of 'raw_id_fields[0]' refers to 'nonexistent', "
"which is not an attribute of 'admin_checks.Album'.",
obj=RawIdNonexistentAdmin,
id='admin.E002',
)
]
self.assertEqual(errors, expected)
def test_fk_exclusion(self):
"""
Regression test for #11709 - when testing for fk excluding (when exclude is
given) make sure fk_name is honored or things blow up when there is more
than one fk to the parent model.
"""
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
exclude = ("e",)
fk_name = "album1"
class MyAdmin(admin.ModelAdmin):
inlines = [TwoAlbumFKAndAnEInline]
errors = MyAdmin(Album, AdminSite()).check()
self.assertEqual(errors, [])
def test_inline_self_check(self):
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
class MyAdmin(admin.ModelAdmin):
inlines = [TwoAlbumFKAndAnEInline]
errors = MyAdmin(Album, AdminSite()).check()
expected = [
checks.Error(
"'admin_checks.TwoAlbumFKAndAnE' has more than one ForeignKey "
"to 'admin_checks.Album'. You must specify a 'fk_name' "
"attribute.",
obj=TwoAlbumFKAndAnEInline,
id='admin.E202',
)
]
self.assertEqual(errors, expected)
def test_inline_with_specified(self):
class TwoAlbumFKAndAnEInline(admin.TabularInline):
model = TwoAlbumFKAndAnE
fk_name = "album1"
class MyAdmin(admin.ModelAdmin):
inlines = [TwoAlbumFKAndAnEInline]
errors = MyAdmin(Album, AdminSite()).check()
self.assertEqual(errors, [])
def test_inlines_property(self):
class CitiesInline(admin.TabularInline):
model = City
class StateAdmin(admin.ModelAdmin):
@property
def inlines(self):
return [CitiesInline]
errors = StateAdmin(State, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("title",)
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly_on_method(self):
@admin.display
def my_function(obj):
pass
class SongAdmin(admin.ModelAdmin):
readonly_fields = (my_function,)
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly_on_modeladmin(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("readonly_method_on_modeladmin",)
@admin.display
def readonly_method_on_modeladmin(self, obj):
pass
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly_dynamic_attribute_on_modeladmin(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("dynamic_method",)
def __getattr__(self, item):
if item == "dynamic_method":
@admin.display
def method(obj):
pass
return method
raise AttributeError
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly_method_on_model(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("readonly_method_on_model",)
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_nonexistent_field(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = ("title", "nonexistent")
errors = SongAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'readonly_fields[1]' is not a callable, an attribute "
"of 'SongAdmin', or an attribute of 'admin_checks.Song'.",
obj=SongAdmin,
id='admin.E035',
)
]
self.assertEqual(errors, expected)
def test_nonexistent_field_on_inline(self):
class CityInline(admin.TabularInline):
model = City
readonly_fields = ['i_dont_exist'] # Missing attribute
errors = CityInline(State, AdminSite()).check()
expected = [
checks.Error(
"The value of 'readonly_fields[0]' is not a callable, an attribute "
"of 'CityInline', or an attribute of 'admin_checks.City'.",
obj=CityInline,
id='admin.E035',
)
]
self.assertEqual(errors, expected)
def test_readonly_fields_not_list_or_tuple(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = 'test'
self.assertEqual(SongAdmin(Song, AdminSite()).check(), [
checks.Error(
"The value of 'readonly_fields' must be a list or tuple.",
obj=SongAdmin,
id='admin.E034',
)
])
def test_extra(self):
class SongAdmin(admin.ModelAdmin):
@admin.display
def awesome_song(self, instance):
if instance.title == "Born to Run":
return "Best Ever!"
return "Status unknown."
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_readonly_lambda(self):
class SongAdmin(admin.ModelAdmin):
readonly_fields = (lambda obj: "test",)
errors = SongAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_graceful_m2m_fail(self):
"""
Regression test for #12203/#12237 - Fail more gracefully when a M2M field that
specifies the 'through' option is included in the 'fields' or the 'fieldsets'
ModelAdmin options.
"""
class BookAdmin(admin.ModelAdmin):
fields = ['authors']
errors = BookAdmin(Book, AdminSite()).check()
expected = [
checks.Error(
"The value of 'fields' cannot include the ManyToManyField 'authors', "
"because that field manually specifies a relationship model.",
obj=BookAdmin,
id='admin.E013',
)
]
self.assertEqual(errors, expected)
def test_cannot_include_through(self):
class FieldsetBookAdmin(admin.ModelAdmin):
fieldsets = (
('Header 1', {'fields': ('name',)}),
('Header 2', {'fields': ('authors',)}),
)
errors = FieldsetBookAdmin(Book, AdminSite()).check()
expected = [
checks.Error(
"The value of 'fieldsets[1][1][\"fields\"]' cannot include the ManyToManyField "
"'authors', because that field manually specifies a relationship model.",
obj=FieldsetBookAdmin,
id='admin.E013',
)
]
self.assertEqual(errors, expected)
def test_nested_fields(self):
class NestedFieldsAdmin(admin.ModelAdmin):
fields = ('price', ('name', 'subtitle'))
errors = NestedFieldsAdmin(Book, AdminSite()).check()
self.assertEqual(errors, [])
def test_nested_fieldsets(self):
class NestedFieldsetAdmin(admin.ModelAdmin):
fieldsets = (
('Main', {'fields': ('price', ('name', 'subtitle'))}),
)
errors = NestedFieldsetAdmin(Book, AdminSite()).check()
self.assertEqual(errors, [])
def test_explicit_through_override(self):
"""
Regression test for #12209 -- If the explicitly provided through model
is specified as a string, the admin should still be able use
Model.m2m_field.through
"""
class AuthorsInline(admin.TabularInline):
model = Book.authors.through
class BookAdmin(admin.ModelAdmin):
inlines = [AuthorsInline]
errors = BookAdmin(Book, AdminSite()).check()
self.assertEqual(errors, [])
def test_non_model_fields(self):
"""
Regression for ensuring ModelAdmin.fields can contain non-model fields
that broke with r11737
"""
class SongForm(forms.ModelForm):
extra_data = forms.CharField()
class FieldsOnFormOnlyAdmin(admin.ModelAdmin):
form = SongForm
fields = ['title', 'extra_data']
errors = FieldsOnFormOnlyAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_non_model_first_field(self):
"""
Regression for ensuring ModelAdmin.field can handle first elem being a
non-model field (test fix for UnboundLocalError introduced with r16225).
"""
class SongForm(forms.ModelForm):
extra_data = forms.CharField()
class Meta:
model = Song
fields = '__all__'
class FieldsOnFormOnlyAdmin(admin.ModelAdmin):
form = SongForm
fields = ['extra_data', 'title']
errors = FieldsOnFormOnlyAdmin(Song, AdminSite()).check()
self.assertEqual(errors, [])
def test_check_sublists_for_duplicates(self):
class MyModelAdmin(admin.ModelAdmin):
fields = ['state', ['state']]
errors = MyModelAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"The value of 'fields' contains duplicate field(s).",
obj=MyModelAdmin,
id='admin.E006'
)
]
self.assertEqual(errors, expected)
def test_check_fieldset_sublists_for_duplicates(self):
class MyModelAdmin(admin.ModelAdmin):
fieldsets = [
(None, {
'fields': ['title', 'album', ('title', 'album')]
}),
]
errors = MyModelAdmin(Song, AdminSite()).check()
expected = [
checks.Error(
"There are duplicate field(s) in 'fieldsets[0][1]'.",
obj=MyModelAdmin,
id='admin.E012'
)
]
self.assertEqual(errors, expected)
def test_list_filter_works_on_through_field_even_when_apps_not_ready(self):
"""
Ensure list_filter can access reverse fields even when the app registry
is not ready; refs #24146.
"""
class BookAdminWithListFilter(admin.ModelAdmin):
list_filter = ['authorsbooks__featured']
# Temporarily pretending apps are not ready yet. This issue can happen
# if the value of 'list_filter' refers to a 'through__field'.
Book._meta.apps.ready = False
try:
errors = BookAdminWithListFilter(Book, AdminSite()).check()
self.assertEqual(errors, [])
finally:
Book._meta.apps.ready = True<｜fim▁end｜> | """
class BookInline(GenericStackedInline):
model = Book
|
<|file_name|>metrics.py<|end_file_name|><｜fim▁begin｜># coding=utf-8
# Copyright 2022 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Evaluation metrics."""
import dataclasses
import logging
from lsmmdma.mmdma_functions import compute_sqpairwise_distances
import math
import numpy as np
from pykeops.torch import LazyTensor
import scipy
from sklearn.neighbors import KNeighborsClassifier
import torch
from typing import Optional, List
@dataclasses.dataclass()
class OutputSupervised():
foscttm: float
top1: float
top5: float
no: float
lta: float
# Evaluation.
@dataclasses.dataclass()
class Evaluation():
"""Computes evaluation metrics, knowing the ground truth alignment.
Five metrics are being computed:
- FOSCTTM (Fraction Of Samples Closer Than the True Match): it gives the
average number of samples from one view that are closer to the true match
in the other view, in the learned low dimensional space. As this metrics is
not symmetrical if we exchange the first and second views, the results are
averaged calculating the FOSCTTM in both directions. Two implementations are
available, `_foscttm` and `_foscttm_keops`, the latter scaling to several
hundreds of samples.
- topK (top1 and top5): it computes the fraction of samples from one view
correctly assigned among top K% nearest neighbours of the true match from the
other view. As this metrics is not symmetrical if we exchange the first and
second views, the results are averaged calculating top1 in both directions.
K is set to be 1 and 5 by default.
- Neighbourhood Overlap: it computes the fraction of samples from one view
correctly assigned among the top K nearest neighbours of the true match from
the other view, for all K. The output is a vector of dimension K.
- Label Transfer Accuracy: assigns the label to samples from the second_view
(resp. first_view) based on the 5-nearest neighbours from the first_view
(resp. seconv_view). Calculates accuracy of the predicted labels.
"""<｜fim▁hole｜> ground_truth_alignment: Optional[np.ndarray] = None
cell_labels: Optional[List[np.ndarray]] = None
n_neighbours: int = 5
device: torch.device = torch.device('cuda')
short: bool = False
def compute_all_evaluation(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor
) -> OutputSupervised:
"""Computes evaluation measures, knowing the ground truth alignment."""
if self.ground_truth_alignment is not None:
second_view_aligned = second_view[self.ground_truth_alignment]
n = first_view.shape[0]
m = second_view.shape[0]
foscttm = -1
top1 = -1
top5 = -1
neigh_overlap = -1
lta = -1
if self.ground_truth_alignment is not None:
try:
if n == m and n < 5000:
foscttm = self._foscttm(first_view, second_view_aligned)
elif n == m:
foscttm = self._foscttm_keops(first_view, second_view_aligned)
else:
logging.warning(f'FOSCTTM was not computed because {n} != {m}.')
except:
logging.warning(
'FOSCTTM was not computed and most likely led to an OOM issue.')
if not self.short:
try:
top1 = self._topx_keops(
first_view, second_view_aligned, topk=1, percentage=True)
except:
logging.warning(
'Top1 can not be computed with a number of samples <100.')
try:
top5 = self._topx_keops(
first_view, second_view_aligned, topk=5, percentage=True)
except:
logging.warning(
'Top5 can not be computed with a number of samples <20.')
try:
if n == m:
if n * m < 1e7:
neigh_overlap = self._neighbour_overlap(
first_view, second_view_aligned)
else:
logging.warning("""Switching to batch version""")
neigh_overlap = self._neighbour_overlap_batch(
first_view, second_view_aligned)
except:
logging.warning(f"""Neighbourhood overlap was not computed, either
because {n} != {m} or because it might have led to an
OOM issue""")
else:
logging.info("""TopK and NO were not computed.""")
if self.cell_labels is not None:
try:
lta1 = self._label_transfer_accuracy(
first_view, second_view, self.cell_labels, k=self.n_neighbours)
lta2 = self._label_transfer_accuracy(
second_view, first_view, self.cell_labels[::-1],
k=self.n_neighbours)
lta = (lta1 + lta2) / 2.0
except:
logging.warning("""LTA was not computed because it might have led to
an OOM issue""")
return OutputSupervised(foscttm, top1, top5, neigh_overlap, lta)
def _foscttm(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor
) -> float:
"""Computes the fraction of samples closer to the true match based on
squared euclidean distances between samples."""
n = first_view.shape[0]
# Assumes the views are aligned.
distances = compute_sqpairwise_distances(first_view, second_view)
fraction = (
torch.sum(distances < torch.diag(distances))
+ torch.sum(torch.t(distances) < torch.diag(distances))
) / (2 * n * (n - 1))
return fraction.item()
def _foscttm_keops(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor,
) -> float:
"""Computes the fraction of samples closer to the true match based on
squared euclidean distances between samples."""
n, d = first_view.shape
first_view_i = LazyTensor(first_view.view(n, 1, d))
second_view_j = LazyTensor(second_view.view(1, n, d))
distance_ij = ((first_view_i - second_view_j)**2).sum(dim=2)
diagonal = ((first_view - second_view)**2).sum(axis=1)
diagonal1 = LazyTensor(diagonal.view(-1, 1, 1))
diagonal2 = LazyTensor(diagonal.view(1, -1, 1))
cttm1 = (diagonal1 - distance_ij).sign().relu()
cttm2 = (diagonal2 - distance_ij).sign().relu()
cttm1 = cttm1.sum(1)
cttm2 = cttm2.sum(1)
return (cttm1.sum() + cttm2.sum()) / (n * (n - 1) * 2)
def _topx_keops(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor,
topk: int = 1,
percentage: bool = True
) -> float:
"""Computes fraction of samples correctly assigned among topk (%) nearest
neighbours."""
def get_count_knn(distance: LazyTensor, n_sample, dim: int = 0):
# Grid <-> Samples, (M**2, K) integer tensor.
if percentage:
indknn = distance.argKmin(int(topk * n_sample / 100), dim=dim)
else:
indknn = distance.argKmin(topk, dim=dim)
frac = indknn - torch.arange(n_sample).reshape(-1, 1).to(self.device)
return torch.count_nonzero(frac == 0).item()
n = first_view.shape[0]
m = second_view.shape[0]
first_view_i = LazyTensor(first_view[:, None, :]) # (M**2, 1, 2)
second_view_j = LazyTensor(second_view[None, :, :]) # (1, N, 2)
# (M**2, N) symbolic matrix of squared distances.
distance_ij = ((first_view_i - second_view_j) ** 2).sum(-1)
count_nn0 = get_count_knn(distance_ij, n, dim=0)
count_nn1 = get_count_knn(distance_ij, m, dim=1)
return (count_nn0 / m + count_nn1 / n) / 2.0
def _neighbour_overlap(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor,
) -> float:
"""Computes the neighbourhood overlap metric.
The Neihgbourhood Overlap is the fraction of samples that have among
their k-neighbours the true match. This function assumes that the two
datasets are aligned (sample1 in first_view corresponds to sample1 in
second_view) and have the same number of cells.
"""
n = first_view.shape[0]
distances = compute_sqpairwise_distances(first_view, second_view)
ranking = torch.diagonal(torch.argsort(distances, dim=1))
cumul_rank = [torch.sum(ranking <= rank).item() for rank in range(n)]
cumul_frac = np.array(cumul_rank) / n
return cumul_frac
def _neighbour_overlap_batch(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor,
batch_size: int = 1024,
) -> float:
"""Computes the neighbourhood overlap metrics by batches of the first_view.
The Neihgbourhood Overlap is the fraction of samples that have among
their k-neighbours the true match. This function assumes that the two
datasets are aligned (sample1 in first_view corresponds to sample1 in
second_view) and have the same number of cells.
"""
n = first_view.shape[0]
n_batch = math.ceil(n / batch_size)
cumul_frac = np.zeros(n)
for i in range(n_batch):
distances = compute_sqpairwise_distances(
first_view[i * batch_size: (i+1) * batch_size], second_view)
ranking = torch.diagonal(torch.argsort(distances, dim=1))
cumul_rank = [torch.sum(ranking <= rank).item() for rank in range(n)]
cumul_frac += np.array(cumul_rank)
return cumul_frac / n
def _label_transfer_accuracy(
self,
first_view: torch.FloatTensor,
second_view: torch.FloatTensor,
cell_labels: List[np.ndarray],
k: int = 5):
"""Computes the Label Transfer Accuracy metrics."""
first_view = first_view.detach().cpu()
second_view = second_view.detach().cpu()
knn = KNeighborsClassifier(n_neighbors=k)
knn.fit(first_view, cell_labels[0])
predictions = knn.predict(second_view)
count = 0
for label1, label2 in zip(predictions, cell_labels[1]):
if label1 == label2:
count += 1
return count / second_view.shape[0]<｜fim▁end｜> | |
<|file_name|>7_puzzle.py<|end_file_name|><｜fim▁begin｜>"""
UNIT 2: Logic Puzzle
You will write code to solve the following logic puzzle:
1. The person who arrived on Wednesday bought the laptop.
2. The programmer is not Wilkes.
3. Of the programmer and the person who bought the droid,
one is Wilkes and the other is Hamming.
4. The writer is not Minsky.
5. Neither Knuth nor the person who bought the tablet is the manager.
6. Knuth arrived the day after Simon.
7. The person who arrived on Thursday is not the designer.
8. The person who arrived on Friday didn't buy the tablet.
9. The designer didn't buy the droid.
10. Knuth arrived the day after the manager.
11. Of the person who bought the laptop and Wilkes,
one arrived on Monday and the other is the writer.
12. Either the person who bought the iphone or the person who bought the tablet<｜fim▁hole｜> arrived on Tuesday.
You will write the function logic_puzzle(), which should return a list of the
names of the people in the order in which they arrive. For example, if they
happen to arrive in alphabetical order, Hamming on Monday, Knuth on Tuesday, etc.,
then you would return:
['Hamming', 'Knuth', 'Minsky', 'Simon', 'Wilkes']
(You can assume that the days mentioned are all in the same week.)
"""
import itertools
def day_after(first, second):
return first - 1 == second
def logic_puzzle():
days = [ monday, tuesday, wednesday, thursday, friday ] = [ 0, 1, 2, 3, 4 ]
orderings = list(itertools.permutations(days))
people = ('Wilkes', 'Minsky', 'Hamming', 'Knuth', 'Simon')
order = next((Wilkes, Minsky, Hamming, Knuth, Simon)
for (laptop, droid, tablet, iphone, _) in orderings
for (Wilkes, Minsky, Hamming, Knuth, Simon) in orderings
for (programmer, writer, manager, designer, _) in orderings
if wednesday == laptop
if programmer != Wilkes
if (programmer == Wilkes and droid == Hamming) or (programmer == Hamming and Wilkes == droid)
if writer != Minsky
if tablet != manager and Knuth != manager
if thursday != designer
if designer != droid
if friday != tablet
if day_after(Knuth, manager)
if day_after(Knuth, Simon)
if (Wilkes == monday and laptop == writer) or (laptop == monday and Wilkes == writer)
if iphone == tuesday or tablet == tuesday
)
result = []
print order
for pers in range(5):
result.append(people[order[pers]])
return result
print logic_puzzle()<｜fim▁end｜> | |
<|file_name|>eos_vrf.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2017, Ansible by Red Hat, inc
#
# This file is part of Ansible by Red Hat
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
#
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'network'}
DOCUMENTATION = """
---
module: eos_vrf
version_added: "2.4"
author: "Ricardo Carrillo Cruz (@rcarrillocruz)"
short_description: Manage VRFs on Arista EOS network devices
description:
- This module provides declarative management of VRFs
on Arista EOS network devices.
notes:
- Tested against EOS 4.15
options:
name:
description:
- Name of the VRF.
required: true
rd:
description:
- Route distinguisher of the VRF
interfaces:
description:
- Identifies the set of interfaces that
should be configured in the VRF. Interfaces must be routed
interfaces in order to be placed into a VRF. The name of interface
should be in expanded format and not abbreviated.
associated_interfaces:
description:
- This is a intent option and checks the operational state of the for given vrf C(name)
for associated interfaces. If the value in the C(associated_interfaces) does not match with
the operational state of vrf interfaces on device it will result in failure.
version_added: "2.5"
aggregate:
description: List of VRFs definitions
purge:
description:
- Purge VRFs not defined in the I(aggregate) parameter.
default: no
type: bool
delay:
description:
- Time in seconds to wait before checking for the operational state on remote
device. This wait is applicable for operational state arguments.
default: 10
state:
description:
- State of the VRF configuration.
default: present
choices: ['present', 'absent']
extends_documentation_fragment: eos
"""
EXAMPLES = """
- name: Create vrf
eos_vrf:
name: test
rd: 1:200
interfaces:
- Ethernet2
state: present
- name: Delete VRFs
eos_vrf:
name: test
state: absent
- name: Create aggregate of VRFs with purge
eos_vrf:
aggregate:
- { name: test4, rd: "1:204" }
- { name: test5, rd: "1:205" }
state: present
purge: yes
- name: Delete aggregate of VRFs
eos_vrf:
aggregate:
- name: test2
- name: test3
- name: test4
- name: test5
state: absent
"""
RETURN = """
commands:
description: The list of configuration mode commands to send to the device
returned: always
type: list
sample:
- vrf definition test
- rd 1:100
- interface Ethernet1
- vrf forwarding test
"""
import re
import time
from copy import deepcopy
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.network.common.utils import remove_default_spec
from ansible.module_utils.network.eos.eos import load_config, run_commands
from ansible.module_utils.network.eos.eos import eos_argument_spec, check_args
def search_obj_in_list(name, lst):
for o in lst:
if o['name'] == name:
return o
def map_obj_to_commands(updates, module):
commands = list()
want, have = updates
state = module.params['state']
purge = module.params['purge']
for w in want:
name = w['name']
rd = w['rd']
obj_in_have = search_obj_in_list(name, have)
if state == 'absent':
if obj_in_have:
commands.append('no vrf definition %s' % name)
elif state == 'present':
if not obj_in_have:
commands.append('vrf definition %s' % name)
if rd is not None:
commands.append('rd %s' % rd)
if w['interfaces']:
for i in w['interfaces']:
commands.append('interface %s' % i)
commands.append('vrf forwarding %s' % w['name'])
else:
if w['rd'] is not None and w['rd'] != obj_in_have['rd']:
commands.append('vrf definition %s' % w['name'])
commands.append('rd %s' % w['rd'])
if w['interfaces']:
if not obj_in_have['interfaces']:
for i in w['interfaces']:
commands.append('interface %s' % i)
commands.append('vrf forwarding %s' % w['name'])
elif set(w['interfaces']) != obj_in_have['interfaces']:
missing_interfaces = list(set(w['interfaces']) - set(obj_in_have['interfaces']))
for i in missing_interfaces:
commands.append('interface %s' % i)
commands.append('vrf forwarding %s' % w['name'])
if purge:
for h in have:
obj_in_want = search_obj_in_list(h['name'], want)
if not obj_in_want:
commands.append('no vrf definition %s' % h['name'])
return commands
def map_config_to_obj(module):
objs = []
output = run_commands(module, {'command': 'show vrf', 'output': 'text'})
lines = output[0].strip().splitlines()[3:]
out_len = len(lines)
index = 0
while out_len > index:
line = lines[index]<｜fim▁hole｜>
splitted_line = re.split(r'\s{2,}', line.strip())
if len(splitted_line) == 1:
index += 1
continue
else:
obj = dict()
obj['name'] = splitted_line[0]
obj['rd'] = splitted_line[1]
obj['interfaces'] = []
if len(splitted_line) > 4:
obj['interfaces'] = []
interfaces = splitted_line[4]
if interfaces.endswith(','):
while interfaces.endswith(','):
# gather all comma separated interfaces
if out_len <= index:
break
index += 1
line = lines[index]
vrf_line = re.split(r'\s{2,}', line.strip())
interfaces += vrf_line[-1]
for i in interfaces.split(','):
obj['interfaces'].append(i.strip().lower())
index += 1
objs.append(obj)
return objs
def map_params_to_obj(module):
obj = []
aggregate = module.params.get('aggregate')
if aggregate:
for item in aggregate:
for key in item:
if item.get(key) is None:
item[key] = module.params[key]
if item.get('interfaces'):
item['interfaces'] = [intf.replace(" ", "").lower() for intf in item.get('interfaces') if intf]
if item.get('associated_interfaces'):
item['associated_interfaces'] = [intf.replace(" ", "").lower() for intf in item.get('associated_interfaces') if intf]
obj.append(item.copy())
else:
obj.append({
'name': module.params['name'],
'state': module.params['state'],
'rd': module.params['rd'],
'interfaces': [intf.replace(" ", "").lower() for intf in module.params['interfaces']] if module.params['interfaces'] else [],
'associated_interfaces': [intf.replace(" ", "").lower() for intf in
module.params['associated_interfaces']] if module.params['associated_interfaces'] else []
})
return obj
def check_declarative_intent_params(want, module, result):
have = None
is_delay = False
for w in want:
if w.get('associated_interfaces') is None:
continue
if result['changed'] and not is_delay:
time.sleep(module.params['delay'])
is_delay = True
if have is None:
have = map_config_to_obj(module)
for i in w['associated_interfaces']:
obj_in_have = search_obj_in_list(w['name'], have)
if obj_in_have:
interfaces = obj_in_have.get('interfaces')
if interfaces is not None and i not in interfaces:
module.fail_json(msg="Interface %s not configured on vrf %s" % (i, w['name']))
def main():
""" main entry point for module execution
"""
element_spec = dict(
name=dict(),
interfaces=dict(type='list'),
associated_interfaces=dict(type='list'),
delay=dict(default=10, type='int'),
rd=dict(),
state=dict(default='present', choices=['present', 'absent'])
)
aggregate_spec = deepcopy(element_spec)
# remove default in aggregate spec, to handle common arguments
remove_default_spec(aggregate_spec)
argument_spec = dict(
aggregate=dict(type='list', elements='dict', options=aggregate_spec),
purge=dict(default=False, type='bool')
)
argument_spec.update(element_spec)
argument_spec.update(eos_argument_spec)
required_one_of = [['name', 'aggregate']]
mutually_exclusive = [['name', 'aggregate']]
module = AnsibleModule(argument_spec=argument_spec,
required_one_of=required_one_of,
mutually_exclusive=mutually_exclusive,
supports_check_mode=True)
warnings = list()
check_args(module, warnings)
result = {'changed': False}
if warnings:
result['warnings'] = warnings
want = map_params_to_obj(module)
have = map_config_to_obj(module)
commands = map_obj_to_commands((want, have), module)
result['commands'] = commands
if commands:
commit = not module.check_mode
response = load_config(module, commands, commit=commit)
if response.get('diff') and module._diff:
result['diff'] = {'prepared': response.get('diff')}
result['session_name'] = response.get('session')
result['changed'] = True
check_declarative_intent_params(want, module, result)
module.exit_json(**result)
if __name__ == '__main__':
main()<｜fim▁end｜> | if not line:
continue |
<|file_name|>parser_test.py<|end_file_name|><｜fim▁begin｜># Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for parser module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import textwrap
from tensorflow.contrib.autograph.pyct import parser
from tensorflow.python.platform import test
class ParserTest(test.TestCase):<｜fim▁hole｜> return x + 1
mod, _ = parser.parse_entity(f)
self.assertEqual('f', mod.body[0].name)
def test_parse_str(self):
mod = parser.parse_str(
textwrap.dedent("""
def f(x):
return x + 1
"""))
self.assertEqual('f', mod.body[0].name)
def test_parse_expression(self):
node = parser.parse_expression('a.b')
self.assertEqual('a', node.value.id)
self.assertEqual('b', node.attr)
if __name__ == '__main__':
test.main()<｜fim▁end｜> |
def test_parse_entity(self):
def f(x): |
<|file_name|>stock_picking.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
# © 2017 Comunitea
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
from odoo import models, fields, api
from datetime import timedelta
from pytz import timezone
from odoo.addons import decimal_precision as dp
class StockPicking(models.Model):
_inherit = 'stock.picking'
neutral_document = fields.Boolean('Neutral Document',
related='sale_id.neutral_document')
operator = fields.Char('Operator')
same_day_delivery = fields.Boolean(compute='_compute_same_day_delivery')
delivery_date = fields.Char(compute='_compute_delivery_date')
delivery_amount = fields.Monetary(compute='_compute_delivery_amount')
global_discount_amount = fields.Monetary(
compute='_compute_global_discount_amount')
min_date_date = fields.Date(compute='_compute_min_date_date')
date_done_date = fields.Date(compute='_compute_min_date_date')
sale_services = fields.Many2many(
'sale.order.line', 'stock_picking_sale_order_line_services_rel',
'picking_id', 'sale_id', compute='_compute_sale_services')
purchase_currency_id = fields.Many2one(
related='purchase_id.currency_id',
string='Currency')
@api.depends('min_date')
def _compute_min_date_date(self):
for pick in self:
pick.min_date_date = pick.min_date and \
pick.min_date.split(' ')[0] or False
if pick.date_done:
pick.date_done_date = pick.date_done.split(' ')[0]
else:
pick.date_done_date = pick.min_date_date
# Si el albaran se finalizó antes de las 17:30 entre semana se envía el
# mismo día.
def _compute_same_day_delivery(self):
for pick in self:
if pick.date_done:
same_day_delivery = True
date_done = fields.Datetime.from_string(pick.date_done)\
.replace(tzinfo=timezone('Etc/UTC'))\
.astimezone(timezone(pick._context.get('tz', 'Etc/UTC')))
if date_done.hour > 17 or \
(date_done.hour == 17 and date_done.minute > 30) or \
date_done.isoweekday() in (6, 7):
same_day_delivery = False
pick.same_day_delivery = same_day_delivery
def _compute_delivery_date(self):
# Si no se envía el mismo día se comprueba que el día de envío no
# sea ni sabado ni domingo
for pick in self:
if pick.date_done:
if pick.same_day_delivery:
pick.delivery_date = pick.date_done
else:<｜fim▁hole｜> date_done = fields.Datetime.from_string(pick.date_done)
next_date = date_done + timedelta(days=1)
delivery_date = next_date
if next_date.isoweekday() == 6:
delivery_date = next_date + timedelta(days=2)
elif next_date.isoweekday() == 7:
delivery_date = next_date + timedelta(days=1)
pick.delivery_date = delivery_date
@api.multi
def _compute_delivery_amount(self):
for picking in self:
delivery_line = picking.sale_id.order_line.filtered(
lambda x: x.product_id.delivery_cost)
if delivery_line:
picking.delivery_amount = delivery_line[0].price_subtotal
else:
picking.delivery_amount = 0.0
@api.multi
def _compute_global_discount_amount(self):
for picking in self:
global_discount_lines = picking.sale_id.order_line.filtered(
lambda x: x.promotion_line)
ep_disc = picking.sale_id.total_early_discount
if global_discount_lines or ep_disc:
picking.global_discount_amount = sum(
global_discount_lines.mapped('price_subtotal')) + ep_disc
else:
picking.global_discount_amount = 0.0
@api.multi
def _compute_amount_all(self):
res = super(StockPicking, self)._compute_amount_all()
for pick in self:
if pick.sale_id:
delivery_line = pick.sale_id.order_line.filtered(
lambda x: x.product_id.delivery_cost)
global_discount_lines = pick.sale_id.order_line.filtered(
lambda x: x.promotion_line)
if delivery_line:
amount_untaxed = sum(pick.pack_operation_ids.mapped(
'sale_price_subtotal')) + \
delivery_line[0].price_subtotal + \
sum(global_discount_lines.mapped('price_subtotal')) + \
sum(pick.sale_services.mapped('price_subtotal'))
amount_tax = sum(pick.pack_operation_ids.mapped(
'sale_price_tax')) + delivery_line[0].price_tax + \
sum(global_discount_lines.mapped('price_tax')) + \
sum(pick.sale_services.mapped('price_tax'))
pick.update({
'amount_untaxed': amount_untaxed,
'amount_tax': amount_tax,
'amount_total': amount_untaxed + amount_tax,
})
else:
amount_untaxed = sum(pick.pack_operation_ids.mapped(
'sale_price_subtotal')) + \
sum(global_discount_lines.mapped('price_subtotal')) + \
sum(pick.sale_services.mapped('price_subtotal'))
amount_tax = sum(pick.pack_operation_ids.mapped(
'sale_price_tax')) + \
sum(global_discount_lines.mapped('price_tax')) + \
sum(pick.sale_services.mapped('price_tax'))
pick.update({
'amount_untaxed': amount_untaxed,
'amount_tax': amount_tax,
'amount_total': amount_untaxed + amount_tax,
})
elif pick.purchase_id:
amount_tax = sum(pick.pack_operation_ids.mapped(
'purchase_price_tax'))
amount_total = sum(pick.pack_operation_ids.mapped(
'purchase_price_total'))
val = {
'amount_untaxed': amount_total - amount_tax,
'amount_tax': amount_tax,
'amount_total': amount_total,
}
pick.update(val)
return res
@api.depends('sale_id')
def _compute_sale_services(self):
for picking in self:
picking.sale_services = picking.sale_id.order_line.filtered(
lambda x: x.product_id.type == 'service' and not
x.product_id.delivery_cost)
@api.multi
def action_open_purchases_valued_ops(self):
action = self.env.ref(
'custom_documents.action_open_view_valued_stock_pack_op_tree').read()[0]
action['domain'] = [('id', 'in', self.pack_operation_ids.ids)]
action['context'] = {
'default_picking_id': self.id,
}
return action
class StockMove(models.Model):
_inherit = 'stock.move'
name_report = fields.Char(compute='_compute_name_report')
@api.multi
def _compute_name_report(self):
for line in self:
name_report = line.name
if '[%s]' % line.product_id.default_code in line.name:
name_report = line.name.replace(
'[%s]' % line.product_id.default_code, '')
line.name_report = name_report
@api.onchange('product_id')
def onchange_product_id(self):
"""Se hereda el onchange para establecer correctamente el nombre"""
res = super(StockMove, self).onchange_product_id()
product = self.product_id.with_context(lang=self.partner_id.lang or self.env.user.lang)
if product:
self.name = product.name_get()[0][1]
return res
class StockPackOperation(models.Model):
_inherit = "stock.pack.operation"
purchase_line = fields.Many2one(
comodel_name='purchase.order.line',
compute='_compute_purchase_order_line_fields',
string="Related order line")
purchase_tax_id = fields.Many2many(
comodel_name='account.tax',
compute='_compute_purchase_order_line_fields',
string="Taxes")
purchase_tax_description = fields.Char(
compute='_compute_purchase_order_line_fields',
string='Tax Description')
purchase_price_unit = fields.Float(
compute='_compute_purchase_order_line_fields',
digits=dp.get_precision('Product Price'),
string="purchase price unit")
purchase_discount = fields.Float(
compute='_compute_purchase_order_line_fields',
digits=dp.get_precision('Discount'),
string="purchase discount (%)")
purchase_price_subtotal = fields.Float(
compute='_compute_purchase_order_line_fields',
string="Price subtotal")
purchase_price_tax = fields.Float(
compute='_compute_purchase_order_line_fields',
string='Taxes')
purchase_price_total = fields.Float(
compute='_compute_purchase_order_line_fields',
string='Total')
qty_delivered = fields.Float('Delivered qty', default=0.0, digits=dp.get_precision('Product Unit of Measure'), compute="_get_qty_delivered")
@api.multi
def _get_qty_delivered(self):
for operation in self:
operation.qty_delivered = operation.qty_done or operation.product_qty
@api.multi
def _compute_purchase_order_line_fields(self):
for operation in self:
purchase_lines = operation.mapped(
'linked_move_operation_ids.move_id.purchase_line_id')
operation.update(operation.purchase_lines_values(purchase_lines))
@api.multi
def purchase_lines_values(self, purchase_lines):
if len(purchase_lines) <= 1:
price_unit = purchase_lines.price_unit
discount = 0.00
else:
price_unit = purchase_lines[0].price_unit
discount = 0.00
purchase_line = purchase_lines[:1]
purchase_tax = purchase_line.taxes_id
taxes = purchase_tax.compute_all(
price_unit=price_unit,
currency=purchase_line.currency_id,
quantity=self.qty_delivered,
product=purchase_line.product_id,
partner=purchase_line.order_id.partner_id)
if purchase_line.company_id.tax_calculation_rounding_method == (
'round_globally'):
price_tax = sum(
t.get('amount', 0.0) for t in taxes.get('taxes', []))
else:
price_tax = taxes['total_included'] - taxes['total_excluded']
val = {
'purchase_line': purchase_line,
'purchase_tax_id': purchase_tax,
'purchase_tax_description': ', '.join(map(lambda x: (
x.description or x.name), purchase_tax)),
'purchase_price_unit': price_unit,
'purchase_discount': discount,
'purchase_price_subtotal': taxes['total_excluded'],
'purchase_price_tax': price_tax,
'purchase_price_total': taxes['total_included'],
}
return val<｜fim▁end｜> | |
<|file_name|>exif-orientation.js<|end_file_name|><｜fim▁begin｜>// EXIF Orientation test
// iOS looks at the EXIF Orientation flag in jpgs and rotates the image
// accordingly. Looks like most desktop browsers just ignore this data.
// description: www.impulseadventure.com/photo/exif-orientation.html
// Bug trackers:
// bugzil.la/298619 (unimplemented)
// crbug.com/56845 (looks incomplete)
// webk.it/19688 (available upstream but its up all ports to turn on individually)
//<｜fim▁hole｜>(function(){
var img = new Image();
img.onerror = function() {
Modernizr.addTest('exif-orientation', function () { return false; });
};
img.onload = function() {
Modernizr.addTest('exif-orientation', function () { return img.width !== 2; });
};
// There may be a way to shrink this more, it's a 1x2 white jpg with the orientation flag set to 6
img.src = "data:image/jpeg;base64,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";
})();<｜fim▁end｜> |
// detect by Paul Sayre
|
<|file_name|>extract_unmapped_reads.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
'''
Extract reads which aren't mapped from a SAM or SAM.gz file.
Behavior for PE:
-Write out PE only if both do not map (if either of the pair maps, neither is retained)
Behavior for SE:
-Write out SE if they don't map
<｜fim▁hole｜>0x2 each segment properly aligned according to the aligner
0x4 segment unmapped
0x8 next segment in the template unmapped
0x10 SEQ being reverse complemented
0x20 SEQ of the next segment in the template being reversed
0x40 the first segment in the template
0x80 the last segment in the template
0x100 secondary alignment
0x200 not passing quality controls
0x400 PCR or optical duplicate
TODO:
1) Add support for retaining both reads if one of a pair don't map but the other does
2) Add support for retaining the pair (or SE) if a read maps with low mapq
Note:
It is necessary to double check that both pairs of the PE read really exist in the SAM
file just in case it somehow gets disordered. This is taken care of by keeping the PE
reads in a set of dictionaries and then deleting them once the pair is written.
In the case where a read is somehow labeled as paired, but the pair doesn't exist, the
read is NOT written.
'''
import sys
import os
from optparse import OptionParser # http://docs.python.org/library/optparse.html
import gzip
usage = "usage: %prog [options] -o output_base inputfile.SAM"
parser = OptionParser(usage=usage, version="%prog 2.0.1")
parser.add_option('-u', '--uncompressed', help="leave output files uncompressed",
action="store_true", dest="uncompressed")
parser.add_option('-o', '--output_base', help="output file basename",
action="store", type="str", dest="output_base", default="screened")
parser.add_option('-t', '--tab-seperated', help="seperated out the output in tab",
action="store_true", dest="tabSeperated")
parser.add_option('-v', '--verbose', help="verbose output",
action="store_false", dest="verbose", default=True)
(options, args) = parser.parse_args() # uncomment this line for command line support
if len(args) == 1:
infile = args[0]
# Start opening input/output files:
if not os.path.exists(infile):
print >> sys.stderr, "Error, can't find input file %s" % infile
sys.exit()
if infile.split(".")[-1] == "gz":
insam = gzip.open(infile, 'rb')
else:
insam = open(infile, 'r')
else:
# reading from stdin
insam = sys.stdin
base = options.output_base
PE1 = {}
PE2 = {}
contig_map = {}
interleaved = False
def writeread(ID, r1, r2):
if interleaved:
if options.tabSeperated is True:
# read1
print ID + "\t" + r1[0] + "\t" + r1[1] + "\t" + r2[0] + "\t" + r2[1] + "\n"
else:
print "@" + ID + "#0/1"
print r1[0]
print '+\n' + r1[1]
# read2
print "@" + ID + "#0/2"
print r2[0]
print '+\n' + r2[1]
else:
# read1
outPE1.write("@" + ID + "#0/1" '\n')
outPE1.write(r1[0] + '\n')
outPE1.write('+\n' + r1[1] + '\n')
# read2
outPE2.write("@" + ID + "#0/2" '\n')
outPE2.write(r2[0] + '\n')
outPE2.write('+\n' + r2[1] + '\n')
i = 0
PE_written = 0
SE_written = 0
SE_open = False
PE_open = False
line2 = []
for line in insam:
# Comment/header lines start with @
if line[0] != "@" and len(line.strip().split()) > 2:
line2 = line.strip().split()
flag = int(line2[1])
if (flag & 0x100): # secondary alignment
continue
i += 1
# Handle SE:
# unapped SE reads have 0x1 set to 0, and 0x4 (third bit) set to 1
if (flag & 0x1 == 0) and (flag & 0x4):
ID = line2[0].split("#")[0]
if not SE_open:
if base == "stdout":
interleaved = True
elif options.uncompressed:
outSE = open(base + "_SE.fastq", 'w')
else:
outSE = gzip.open(base + "_SE.fastq.gz", 'wb')
SE_open = True
# interleaved just means to stdout in this case
if (interleaved):
if options.tabSeperated is True:
print ID + "\t" + line2[9] + "\t" + line2[10] + "\n"
else:
print "@" + ID
print line2[9]
print '+\n' + line2[10]
else:
outSE.write("@" + ID + '\n')
outSE.write(line2[9] + '\n')
outSE.write('+\n' + line2[10] + '\n')
SE_written += 1
continue
# Handle PE:
# logic: 0x1 = multiple segments in sequencing, 0x4 = segment unmapped, 0x8 = next segment unmapped, 0x80 the last segment in the template
if ((flag & 0x1) and (flag & 0x4) and (flag & 0x8)):
if not PE_open:
if base == "stdout":
interleaved = True
elif options.uncompressed:
outPE1 = open(base + "_PE1.fastq", 'w')
outPE2 = open(base + "_PE2.fastq", 'w')
else:
outPE1 = gzip.open(base + "_PE1.fastq.gz", 'wb')
outPE2 = gzip.open(base + "_PE2.fastq.gz", 'wb')
PE_open = True
if (flag & 0x40): # is this PE1 (first segment in template)
# PE1 read, check that PE2 is in dict and write out
ID = line2[0].split("#")[0]
r1 = [line2[9], line2[10]] # sequence + qual
if ID in PE2:
writeread(ID, r1, PE2[ID])
del PE2[ID]
PE_written += 1
else:
PE1[ID] = r1
continue
elif (flag & 0x80): # is this PE2 (last segment in template)
# PE2 read, check that PE1 is in dict and write out
ID = line2[0].split("#")[0]
r2 = [line2[9], line2[10]]
if ID in PE1:
writeread(ID, PE1[ID], r2)
del PE1[ID]
PE_written += 1
else:
PE2[ID] = r2
continue
# was mapped, count it up
# if line2 != []:
# contig = line2[2]
# if contig in contig_map.keys():
# if (flag & 0x1 == 0): # SE
# contig_map[contig]["SE"] += 1
# elif (flag & 0x40): # PE, Just count the first in the pair
# contig_map[contig]["PE"] += 1
# else:
# contig_map[contig] = {}
# if (flag & 0x1 == 0): # SE
# contig_map[contig]["SE"] = 1
# contig_map[contig]["PE"] = 0
# elif (flag & 0x40): # PE, Just count the first in the pair
# contig_map[contig]["SE"] = 0
# contig_map[contig]["PE"] = 1
# for k in contig_map.keys():
# print >> sys.stderr, "\tFound %s: percent: %.2f, PE mapped: %s, SE mapped: %s" % (k, (2*PE_written+SE_written)/i, contig_map[k]["PE"], contig_map[k]["SE"])
print >> sys.stderr, "Records processed: %s | PE_written: %s | SE_written: %s | Discarded: %s " % (i, PE_written, SE_written, i-(PE_written*2+SE_written))
if base != "stdout":
if PE_open:
outPE1.close()
outPE2.close()
if SE_open:
outSE.close()<｜fim▁end｜> | Iterate over a SAM or SAM.gz file. take everything where the 3rd and
4th flag bit are set to 1 and write reads out to files.
0x1 template having multiple segments in sequencing |
<|file_name|>conf.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
#
# sympa documentation build configuration file, created by
# sphinx-quickstart on Mon Aug 25 18:11:49 2014.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
from datetime import date
import sys
import os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.doctest',
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'sympa'
copyright = u'%s, Direction Informatique' % date.today().strftime("%Y")
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '0.1'
# The full version, including alpha/beta/rc tags.
release = '0.1'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ['_build']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
#keep_warnings = False
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
html_theme = 'default'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#html_extra_path = []
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_domain_indices = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
<｜fim▁hole｜>
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = None
# Output file base name for HTML help builder.
htmlhelp_basename = 'sympadoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#'preamble': '',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
('index', 'sympa.tex', u'sympa Documentation',
u'Direction Informatique', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# If true, show page references after internal links.
#latex_show_pagerefs = False
# If true, show URL addresses after external links.
#latex_show_urls = False
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('index', 'sympa', u'sympa Documentation',
[u'Direction Informatique'], 1)
]
# If true, show URL addresses after external links.
#man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
('index', 'sympa', u'sympa Documentation',
u'Direction Informatique', 'sympa', 'One line description of project.',
'Miscellaneous'),
]
# Documents to append as an appendix to all manuals.
#texinfo_appendices = []
# If false, no module index is generated.
#texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#texinfo_no_detailmenu = False<｜fim▁end｜> |
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
|
<|file_name|>listdir.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>import logging
from path import Path
from flexget import plugin
from flexget.entry import Entry
from flexget.event import event
from flexget.config_schema import one_or_more
log = logging.getLogger('listdir')
class Listdir(object):
"""
Uses local path content as an input.
Example::
listdir: /storage/movies/
"""
schema = one_or_more({'type': 'string', 'format': 'path'})
def on_task_input(self, task, config):
# If only a single path is passed turn it into a 1 element list
if isinstance(config, basestring):
config = [config]
entries = []
for folder in config:
folder = Path(folder).expanduser()
try:
dir_files = folder.listdir()
except OSError as e:
log.error('Path %s could not be accessed: %s' % (folder, e.strerror))
continue
for filepath in dir_files:
try:
filepath.exists()
except UnicodeError:
log.error('file %s not decodable with filesystem encoding' % filepath)
continue
e = Entry()
if filepath.isfile():
e['title'] = filepath.namebase
else:
e['title'] = filepath.name
e['location'] = filepath
# Windows paths need an extra / preceded to them
if not filepath.startswith('/'):
filepath = '/' + filepath
e['url'] = 'file://%s' % filepath
e['filename'] = filepath.name
entries.append(e)
return entries
@event('plugin.register')
def register_plugin():
plugin.register(Listdir, 'listdir', api_ver=2)<｜fim▁end｜> | """Plugin for filesystem tasks."""
from __future__ import unicode_literals, division, absolute_import
import os |
<|file_name|>hdb_signatures_test.go<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>import (
"testing"
)
func TestParseHdbSignatureRow(t *testing.T) {
signature := new(signature)
sample := "e11c2aff804ca144a3e49c42d6ac5783:1006:Exploit.CVE_2012_0779"
sig := parseHdbSignatureRow(sample, signature)
if sig.Size != 1006 {
t.Fatal("Error parsing HDB or HSB signature length")
}
if signature.SigHash != "e11c2aff804ca144a3e49c42d6ac5783" {
t.Fatal("Error parsing HDB or HSB signature hash")
}
}<｜fim▁end｜> | package main
|
<|file_name|>emit-appender.ts<|end_file_name|><｜fim▁begin｜>import { LoggingEvent } from "log4js";
import { EventEmitter } from "events";
import { EMIT_APPENDER_EVENT_NAME } from "../../../constants";
function emitAppender(layout: Function, emitter: EventEmitter) {
const appender = (loggingEvent: LoggingEvent) => {
emitter.emit(EMIT_APPENDER_EVENT_NAME, {
loggingEvent,
formattedMessage: layout(loggingEvent),
});
};
appender.shutdown = () => {
emitter.removeAllListeners(EMIT_APPENDER_EVENT_NAME);
};
return appender;
}
export function configure(
config: Log4JSEmitAppenderConfiguration,
layouts: any
) {
if (!config.emitter) {
throw new Error("Emitter must be passed to emit-appender");
}
if (!config.emitter.emit || typeof config.emitter.emit !== "function") {
throw new Error("The passed emitter must be instance of EventEmitter");
}
// the default layout for the appender
let layout = layouts.messagePassThroughLayout;
// check if there is another layout specified
if (config.layout) {
layout = layouts.layout(config.layout.type, config.layout);
}
<｜fim▁hole｜> // create a new appender instance
return emitAppender(layout, config.emitter);
}<｜fim▁end｜> | |
<|file_name|>20170710002603-create-group.js<|end_file_name|><｜fim▁begin｜>module.exports = {
up: (queryInterface, Sequelize) =>
queryInterface.createTable('Groups', {
id: {
allowNull: false,
autoIncrement: true,
primaryKey: true,
type: Sequelize.INTEGER
},
name: {
type: Sequelize.STRING,
allowNull: false,
},
createdBy: {
type: Sequelize.STRING,
allowNull: false,
},
description: {
type: Sequelize.STRING,
},
type: {
type: Sequelize.STRING,
allowNull: false,
default: 'public'
},
createdAt: {
allowNull: false,
type: Sequelize.DATE,<｜fim▁hole｜> }
}),
down: queryInterface =>
queryInterface.dropTable('Groups'),
};<｜fim▁end｜> | },
updatedAt: {
allowNull: false,
type: Sequelize.DATE |
<|file_name|>http_client.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from future import standard_library
standard_library.install_aliases()
import logging
import sys
from thrift.transport.TTransport import *
from desktop.lib.rest.http_client import HttpClient
from desktop.lib.rest.resource import Resource
if sys.version_info[0] > 2:
from io import BytesIO as buffer_writer
else:
from cStringIO import StringIO as buffer_writer
LOG = logging.getLogger(__name__)
class THttpClient(TTransportBase):<｜fim▁hole｜> HTTPS and Kerberos support with Request.
e.g.
mode = THttpClient('http://hbase-thrift-v1.com:9090')
mode = THttpClient('http://hive-localhost:10001/cliservice')
"""
def __init__(self, base_url):
self._base_url = base_url
self._client = HttpClient(self._base_url, logger=LOG)
self._data = None
self._headers = None
self._wbuf = buffer_writer()
def open(self):
pass
def set_kerberos_auth(self, service="HTTP"):
self._client.set_kerberos_auth(service=service)
def set_basic_auth(self, username, password):
self._client.set_basic_auth(username, password)
def set_verify(self, verify=True):
self._client.set_verify(verify)
def close(self):
self._headers = None
# Close session too?
def isOpen(self):
return self._client is not None
def setTimeout(self, ms):
if not self._headers:
self._headers = {}
self._headers.update(timeout=str(int(ms / 1000)))
def setCustomHeaders(self, headers):
self._headers = headers
def read(self, sz):
return self._data
def write(self, buf):
self._wbuf.write(buf)
def flush(self):
data = self._wbuf.getvalue()
self._wbuf = buffer_writer()
# POST
self._root = Resource(self._client)
self._data = self._root.post('', data=data, headers=self._headers)<｜fim▁end｜> | """
HTTP transport mode for Thrift.
|
<|file_name|>devices.py<|end_file_name|><｜fim▁begin｜>import logging
import time
import os
# will change these to specific imports once code is more final
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5 import uic
BRUSH_WHITE = QBrush(QColor(255, 255, 255), Qt.SolidPattern)
BRUSH_GREEN = QBrush(QColor(0, 255, 0), Qt.SolidPattern)
BRUSH_BLACK = QBrush(QColor(0, 0, 0), Qt.SolidPattern)
BRUSH_DARK_PURPLE = QBrush(QColor(128, 0, 255), Qt.SolidPattern)
class DeviceNode:
__slots__ = ["_callback", "_name", "_data", "_type", "_brush", "q_name", "q_state", "sub_properties",
"sub_properties_appended", "q_time_added", "log"]
def __init__(self):
self._callback = None
self._name = ""
self._data = {}
self._type = ""
self._brush = BRUSH_BLACK
self.q_name = QStandardItem()
self.q_state = QStandardItem()
self.sub_properties = {}
self.sub_properties_appended = False
self.q_time_added = QStandardItem()
self.q_time_added.setData(time.perf_counter(), Qt.DisplayRole)
self.q_name.setDragEnabled(True)
self.q_state.setData("", Qt.DisplayRole)
self.log = logging.getLogger('Device')
def setName(self, name):
self._name = name
self.q_name.setData(str(self._name), Qt.DisplayRole)
self.log = logging.getLogger('Device {}'.format(self._name))
self.q_state.emitDataChanged()
def setData(self, data):
"""Set data of device."""
if data == self._data:
# do nothing if data did not change
return
if not isinstance(data, dict):
data = {}
if self._callback:
self._callback()
self._data = data
state_str = str(list(self._data.values())[0])
if len(self._data) > 1:
state_str = state_str + " {…}"
self.q_state.setData(state_str, Qt.DisplayRole)
for row in self._data:
if not self.sub_properties_appended:
q_property = QStandardItem()
q_value = QStandardItem()
self.sub_properties.update({row: [q_property, q_value]})
self.q_name.appendRow(self.sub_properties.get(row))
self.sub_properties.get(row)[0].setData(str(row), Qt.DisplayRole)
self.sub_properties.get(row)[1].setData(str(self._data.get(row)), Qt.DisplayRole)
self.sub_properties_appended = True
self.q_state.emitDataChanged()
self._brush = self._calculate_colored_brush()
def setType(self, type):
self._type = type
self._brush = self._calculate_colored_brush()
self.q_state.emitDataChanged()
def get_row(self):
return [self.q_name, self.q_state, self.q_time_added]
def data(self):
return self._data
def type(self):
return self._type
def get_colored_brush(self) -> QBrush:
"""Return colored brush for device."""
return self._brush
def _calculate_color_gamma_correction(self, color):
"""Perform gamma correction.
Feel free to fiddle with these constants until it feels right
With gamma = 0.5 and constant a = 18, the top 54 values are lost,
but the bottom 25% feels much more normal.
"""
gamma = 0.5
a = 18
corrected = []
for value in color:
if value < 0 or value > 255:
self.log.warning("Got value %s for brightness which outside the expected range", value)
value = 0
value = int(pow(value, gamma) * a)
if value > 255:
value = 255
corrected.append(value)
return corrected
def _calculate_colored_brush(self):
if self._type == 'light':
color = self.data()['color']
if color == [0, 0, 0]:
# shortcut for black
return BRUSH_BLACK
color = self._calculate_color_gamma_correction(color)
elif self._type == 'switch':
state = self.data()['state']
if state:
return BRUSH_GREEN
else:
return BRUSH_BLACK
elif self._type == 'diverter':
state = self.data()['active']
if state:
return BRUSH_DARK_PURPLE
else:
return BRUSH_BLACK
else:
# Get first parameter and draw as white if it evaluates True
state = bool(list(self.data().values())[0])
if state:
return BRUSH_WHITE
else:
return BRUSH_BLACK
return QBrush(QColor(*color), Qt.SolidPattern)
def set_change_callback(self, callback):
if self._callback:
# raise AssertionError("Can only have one callback")
old_callback = self._callback
self._callback = callback
return old_callback
else:
self._callback = callback
self.q_state.emitDataChanged()
class DeviceDelegate(QStyledItemDelegate):
def __init__(self):
self.size = None
super().__init__()
def paint(self, painter, view, index):
super().paint(painter, view, index)
color = None
state = None<｜fim▁hole｜> # src_index = index.model().mapToSource(index)
# src_index_model = src_index.model()
# print(index.data())
# print(src_index_model.data())
data = []
try:
data = index.model().itemFromIndex(index).data()
# src_index = index.model().mapToSource(index)
# data = index.model().data(src_index)
except:
pass
num_circles = 1
# return
if index.column() == 0:
return
try:
if 'color' in data:
color = data['color']
found = True
except TypeError:
return
try:
if 'brightness' in data:
color = [data['brightness']]*3
found = True
except TypeError:
return
try:
if 'state' in data:
text = str(data['state'])
found = True
except TypeError:
return
try:
if 'complete' in data:
state = not data['complete']
found = True
except TypeError:
return
try:
if 'enabled' in data:
state = data['enabled']
found = True
except TypeError:
return
try:
if 'balls' in data:
balls = data['balls']
found = True
except TypeError:
return
try:
if 'balls_locked' in data:
balls = data['balls_locked']
found = True
except TypeError:
return
try:
if 'num_balls_requested' in data:
text += 'Requested: {} '.format(
data['num_balls_requested'])
found = True
except TypeError:
return
try:
if 'unexpected_balls' in data:
text += 'Unexpected: {} '.format(
data['unexpected_balls'])
found = True
except TypeError:
return
if not found:
return
text += " " + str(data)
painter.save()
painter.setRenderHint(QPainter.Antialiasing, True)
painter.setPen(QPen(QColor(100, 100, 100), 1, Qt.SolidLine))
if color:
painter.setBrush(QBrush(QColor(*color), Qt.SolidPattern))
elif state is True:
painter.setBrush(QBrush(QColor(0, 255, 0), Qt.SolidPattern))
elif state is False:
painter.setBrush(QBrush(QColor(255, 255, 255), Qt.SolidPattern))
elif isinstance(balls, int):
painter.setBrush(QBrush(QColor(0, 255, 0), Qt.SolidPattern))
num_circles = balls
x_offset = 0
for _ in range(num_circles):
painter.drawEllipse(
view.rect.x() + x_offset, view.rect.y(), 14, 14)
x_offset += 20
if text:
painter.drawText(view.rect.x() + x_offset, view.rect.y() + 12,
str(text))
self.size = QSize(len(text) * 10, 20)
painter.restore()
def sizeHint(self, QStyleOptionViewItem, QModelIndex):
if self.size:
return self.size
else:
# Calling super() here seems to result in a segfault on close sometimes.
# return super().sizeHint(QStyleOptionViewItem, QModelIndex)
return QSize(80, 20)
class DeviceWindow(QWidget):
__slots__ = ["mpfmn", "ui", "model", "log", "already_hidden", "added_index", "device_states",
"device_type_widgets", "_debug_enabled"]
def __init__(self, mpfmon):
self.mpfmon = mpfmon
super().__init__()
self.ui = None
self.model = None
self.draw_ui()
self.attach_model()
self.attach_signals()
self.log = logging.getLogger('Core')
self.already_hidden = False
self.added_index = 0
self.device_states = dict()
self.device_type_widgets = dict()
self._debug_enabled = self.log.isEnabledFor(logging.DEBUG)
def draw_ui(self):
# Load ui file from ./ui/
ui_path = os.path.join(os.path.dirname(__file__), "ui", "searchable_tree.ui")
self.ui = uic.loadUi(ui_path, self)
self.ui.setWindowTitle('Devices')
self.ui.move(self.mpfmon.local_settings.value('windows/devices/pos',
QPoint(200, 200)))
self.ui.resize(self.mpfmon.local_settings.value('windows/devices/size',
QSize(300, 600)))
# Disable option "Sort", select first item.
# TODO: Store and load selected sort index to local_settings
self.ui.sortComboBox.model().item(0).setEnabled(False)
self.ui.sortComboBox.setCurrentIndex(1)
self.ui.treeView.setAlternatingRowColors(True)
def attach_signals(self):
assert (self.ui is not None)
self.ui.treeView.expanded.connect(self.resize_columns_to_content)
self.ui.treeView.collapsed.connect(self.resize_columns_to_content)
self.ui.filterLineEdit.textChanged.connect(self.filter_text)
self.ui.sortComboBox.currentIndexChanged.connect(self.change_sort)
def attach_model(self):
assert (self.ui is not None)
self.treeview = self.ui.treeView
self.model = QStandardItemModel()
self.model.setHorizontalHeaderLabels(["Device", "Data"])
self.treeview.setDragDropMode(QAbstractItemView.DragOnly)
# self.treeview.setItemDelegateForColumn(1, DeviceDelegate())
# Resizing to contents causes huge performance losses. Only resize when rows expanded or collapsed.
# self.treeview.header().setSectionResizeMode(QHeaderView.ResizeToContents)
self.filtered_model = QSortFilterProxyModel(self)
self.filtered_model.setSourceModel(self.model)
self.filtered_model.setRecursiveFilteringEnabled(True)
self.filtered_model.setFilterCaseSensitivity(False)
self.treeview.setModel(self.filtered_model)
def resize_columns_to_content(self):
self.ui.treeView.resizeColumnToContents(0)
self.ui.treeView.resizeColumnToContents(1)
def process_device_update(self, name, state, changes, type):
del changes
if self._debug_enabled:
self.log.debug("Device Update: %s.%s: %s", type, name, state)
if type not in self.device_states:
self.device_states[type] = dict()
item = QStandardItem(type)
self.device_type_widgets[type] = item
self.model.appendRow([item, QStandardItem(), QStandardItem(str(time.perf_counter()))])
if name not in self.device_states[type]:
node = DeviceNode()
node.setName(name)
node.setData(state)
node.setType(type)
self.device_states[type][name] = node
self.device_type_widgets[type].appendRow(node.get_row())
self.mpfmon.pf.create_widget_from_config(node, type, name)
else:
self.device_states[type][name].setData(state)
self.ui.treeView.setColumnHidden(2, True)
def filter_text(self, string):
wc_string = "*" + str(string) + "*"
self.filtered_model.setFilterWildcard(wc_string)
self.ui.treeView.resizeColumnToContents(0)
self.ui.treeView.resizeColumnToContents(1)
def change_sort(self, index=1):
self.model.layoutAboutToBeChanged.emit()
self.filtered_model.beginResetModel()
# This is a bit sloppy and probably should be reworked.
if index == 1: # Received up
self.filtered_model.sort(2, Qt.AscendingOrder)
elif index == 2: # Received down
self.filtered_model.sort(2, Qt.DescendingOrder)
elif index == 3: # Name up
self.filtered_model.sort(0, Qt.AscendingOrder)
elif index == 4: # Name down
self.filtered_model.sort(0, Qt.DescendingOrder)
self.filtered_model.endResetModel()
self.model.layoutChanged.emit()
def closeEvent(self, event):
super().closeEvent(event)
self.mpfmon.write_local_settings()
event.accept()
self.mpfmon.check_if_quit()<｜fim▁end｜> | balls = None
found = False
text = ''
|
<|file_name|>views.py<|end_file_name|><｜fim▁begin｜>import json<｜fim▁hole｜>from django.contrib.auth.decorators import login_required
from django.shortcuts import render, get_object_or_404
from alarm.forms import UserProfileForm, AlarmStateConfigurationForm
from alarm.models import UserProfile, Log, Alert, AlarmStateConfiguration
"""Views"""
SUCCESS_RESPONSE = {'success': True}
# Index render view
@login_required
def index_view(request):
return render(request, "alarm/index.html")
@login_required
def logs_view(request):
return render(request, "alarm/logs.html")
@login_required
def users_view(request):
return render(request, "alarm/users.html")
@login_required
def alerts_view(request):
return render(request, "alarm/alerts.html")
@login_required
def list_users(request):
if request.is_ajax:
users = UserProfile.objects.all()
data = serializers.serialize("json", users)
return HttpResponse(data,
content_type='application/json')
@login_required
def get_user(request):
if request.is_ajax:
user = UserProfile.objects.get(pk=request.GET['id'])
data = serializers.serialize("json", [user])
return HttpResponse(data,
content_type='application/json')
@login_required
def add_user(request):
if request.method == 'POST':
form = UserProfileForm(request.POST)
form.save()
return HttpResponse(json.dumps(SUCCESS_RESPONSE),
content_type='application/json')
@login_required
def update_user(request):
if request.method == 'POST':
user = get_object_or_404(UserProfile, id=request.POST['id'])
form = UserProfileForm(request.POST or None, instance=user)
if form.is_valid():
form.save()
return HttpResponse(json.dumps(SUCCESS_RESPONSE), content_type='application/json')
@login_required
def delete_user(request):
if request.method == 'POST':
user = UserProfile.objects.get(pk=request.POST['id'])
user.delete()
return HttpResponse(json.dumps(SUCCESS_RESPONSE), content_type='application/json')
@login_required
def get_logs_today(request):
if request.is_ajax:
logs = Log.objects.filter(time_stamp__date=datetime.date.today())
data = serializers.serialize("json", logs)
return HttpResponse(data,
content_type='application/json')
@login_required
def get_logs_date(request):
if request.is_ajax:
logs = Log.objects.filter(time_stamp__date=request.GET['date'])
data = serializers.serialize("json", logs)
return HttpResponse(data,
content_type='application/json')
@login_required
def get_config_status(request):
if request.is_ajax:
config = AlarmStateConfiguration.objects.filter(alarm_name=settings.ALARM_NAME)
data = serializers.serialize("json", config)
return HttpResponse(data,
content_type='application/json')
@login_required
def update_alarm_status(request):
if request.method == 'POST':
alarm = get_object_or_404(AlarmStateConfiguration, alarm_name=request.POST['alarm_name'])
form = AlarmStateConfigurationForm(request.POST or None, instance=alarm)
if form.is_valid():
form.save()
return HttpResponse(json.dumps(SUCCESS_RESPONSE), content_type='application/json')
@login_required
def get_alerts_status(request):
if request.is_ajax:
if Alert.objects.all():
alerts = Alert.objects.latest()
data = serializers.serialize("json", [alerts])
else:
data = serializers.serialize("json", [])
return HttpResponse(data,
content_type='application/json')<｜fim▁end｜> | import datetime
from django.http import HttpResponse
from django.core import serializers
from django.conf import settings |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.