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'''
Reversed Queue
Write a function that takes a queue as an input and returns a reversed version of it.
'''
# Solution
class LinkedListNode:
def __init__(self, data):
self.data = data
self.next = None
class Stack:
def __init__(self):
self.num_elements = 0
self.head = None
def push(self, data):
new_node = LinkedListNode(data)
if self.head is None:
self.head = new_node
else:
new_node.next = self.head
self.head = new_node
self.num_elements += 1
def pop(self):
if self.is_empty():
return None
temp = self.head.data
self.head = self.head.next
self.num_elements -= 1
return temp
def top(self):
if self.head is None:
return None
return self.head.data
def size(self):
return self.num_elements
def is_empty(self):
return self.num_elements == 0
class Queue:
def __init__(self):
self.head = None
self.tail = None
self.num_elements = 0
def enqueue(self, data):
new_node = LinkedListNode(data)
if self.head is None:
self.head = new_node
self.tail = new_node
else:
self.tail.next = new_node
self.tail = new_node
self.num_elements += 1
def dequeue(self):
if self.is_empty():
return None
temp = self.head.data
self.head = self.head.next
self.num_elements -= 1
return temp
def front(self):
if self.head is None:
return None
return self.head.data
def size(self):
return self.num_elements
def is_empty(self):
return self.num_elements == 0
def reverse_queue(queue):
stack = Stack()
while not queue.is_empty():
stack.push(queue.dequeue())
while not stack.is_empty():
queue.enqueue(stack.pop())
def test_function(test_case):
queue = Queue()
for num in test_case:
queue.enqueue(num)
reverse_queue(queue)
index = len(test_case) - 1
while not queue.is_empty():
removed = queue.dequeue()
if removed != test_case[index]:
print("Fail")
return
else:
index -= 1
print("Pass")
test_case_1 = [1, 2, 3, 4]
test_function(test_case_1)
test_case_2 = [1]
test_function(test_case_2)
# or just use 2 queues and dequeue the first and enqueue it in the other one
# https://youtu.be/l_tnEtFCXnc
|
"""
Reversed Queue
Write a function that takes a queue as an input and returns a reversed version of it.
"""
class Linkedlistnode:
def __init__(self, data):
self.data = data
self.next = None
class Stack:
def __init__(self):
self.num_elements = 0
self.head = None
def push(self, data):
new_node = linked_list_node(data)
if self.head is None:
self.head = new_node
else:
new_node.next = self.head
self.head = new_node
self.num_elements += 1
def pop(self):
if self.is_empty():
return None
temp = self.head.data
self.head = self.head.next
self.num_elements -= 1
return temp
def top(self):
if self.head is None:
return None
return self.head.data
def size(self):
return self.num_elements
def is_empty(self):
return self.num_elements == 0
class Queue:
def __init__(self):
self.head = None
self.tail = None
self.num_elements = 0
def enqueue(self, data):
new_node = linked_list_node(data)
if self.head is None:
self.head = new_node
self.tail = new_node
else:
self.tail.next = new_node
self.tail = new_node
self.num_elements += 1
def dequeue(self):
if self.is_empty():
return None
temp = self.head.data
self.head = self.head.next
self.num_elements -= 1
return temp
def front(self):
if self.head is None:
return None
return self.head.data
def size(self):
return self.num_elements
def is_empty(self):
return self.num_elements == 0
def reverse_queue(queue):
stack = stack()
while not queue.is_empty():
stack.push(queue.dequeue())
while not stack.is_empty():
queue.enqueue(stack.pop())
def test_function(test_case):
queue = queue()
for num in test_case:
queue.enqueue(num)
reverse_queue(queue)
index = len(test_case) - 1
while not queue.is_empty():
removed = queue.dequeue()
if removed != test_case[index]:
print('Fail')
return
else:
index -= 1
print('Pass')
test_case_1 = [1, 2, 3, 4]
test_function(test_case_1)
test_case_2 = [1]
test_function(test_case_2)
|
class Solution:
def maximalSquare(self, matrix):
if not matrix:
return 0
row = [0] * len(matrix[0])
res = 0
for i in xrange(len(matrix)):
top_left = 0
for j in xrange(len(matrix[i])):
if matrix[i][j] == "0":
top_left = row[j]
row[j] = 0
else:
val = min(row[j], row[j - 1] if j > 0 else 0, top_left) + 1
top_left = row[j]
row[j] = val
res = max(res, row[j])
return res ** 2
|
class Solution:
def maximal_square(self, matrix):
if not matrix:
return 0
row = [0] * len(matrix[0])
res = 0
for i in xrange(len(matrix)):
top_left = 0
for j in xrange(len(matrix[i])):
if matrix[i][j] == '0':
top_left = row[j]
row[j] = 0
else:
val = min(row[j], row[j - 1] if j > 0 else 0, top_left) + 1
top_left = row[j]
row[j] = val
res = max(res, row[j])
return res ** 2
|
class Ring:
"""Parent class/interface for all rings to inherit from"""
def __init__(self, name, element_type, is_commutative=False):
self.name = name
self.element_type = element_type
self.is_commutative = is_commutative
# Stuff we need to implement in child classes
def one(self):
raise NotImplementedError
def zero(self):
raise NotImplementedError
def __eq__(self, other):
raise NotImplementedError
# Stuff that just works
def coerce(self, x):
# passthrough if they are the same type already
if type(x) is type(self):
return x
raise NotImplementedError
def __contains__(self, other):
return type(other) is self.element_type
def __repr__(self):
return self.name
class RingElement:
"""Parent class for elements in some ring"""
def __init__(self, ring):
self.ring = ring
# Stuff to implement
def __add__(self, other):
raise NotImplementedError
def __mul__(self, other):
raise NotImplementedError
def __rmul__(self, other):
# multiplication isn't necessarily commutative
# only need to implement it if it isn't
if self.ring.is_commutative:
return self.__mul__(other)
raise NotImplementedError
def __neg__(self):
raise NotImplementedError
def __eq__(self, other):
raise NotImplementedError
def __lt__(self, other):
# This is optional if you want the ring to be ordered
raise NotImplementedError(f'Ordering not implemented for Ring {self.ring}')
# Stuff that just works
def __le__(self, other):
return self.__eq__(other) or self.__lt__(other)
def __gt__(self, other):
return not self.__le__(other)
def __ge__(self, other):
return self.__eq__(other) or self.__gt__(other)
def __pow__(self, power):
try:
a = int(power)
except ValueError as err:
raise ValueError('Powers of ring elements must be integers.') from err
if a < 0:
raise ValueError('Power of ring element must be nonnegative.')
if a == 0:
return self.ring.one()
else:
# compute recursively
return self.__mul__(self.__pow__(a-1))
def __radd__(self, other):
# addition is always commutative
return self.__add__(other)
def __sub__(self, other):
# a - b is a + (-b)
if type(other) is not type(self):
raise TypeError(
f'Subtraction not defined for types {type(self)} and {type(other)}'
)
return self.__add__(other.__neg__())
def __repr__(self):
return f'Element of {self.ring}'
|
class Ring:
"""Parent class/interface for all rings to inherit from"""
def __init__(self, name, element_type, is_commutative=False):
self.name = name
self.element_type = element_type
self.is_commutative = is_commutative
def one(self):
raise NotImplementedError
def zero(self):
raise NotImplementedError
def __eq__(self, other):
raise NotImplementedError
def coerce(self, x):
if type(x) is type(self):
return x
raise NotImplementedError
def __contains__(self, other):
return type(other) is self.element_type
def __repr__(self):
return self.name
class Ringelement:
"""Parent class for elements in some ring"""
def __init__(self, ring):
self.ring = ring
def __add__(self, other):
raise NotImplementedError
def __mul__(self, other):
raise NotImplementedError
def __rmul__(self, other):
if self.ring.is_commutative:
return self.__mul__(other)
raise NotImplementedError
def __neg__(self):
raise NotImplementedError
def __eq__(self, other):
raise NotImplementedError
def __lt__(self, other):
raise not_implemented_error(f'Ordering not implemented for Ring {self.ring}')
def __le__(self, other):
return self.__eq__(other) or self.__lt__(other)
def __gt__(self, other):
return not self.__le__(other)
def __ge__(self, other):
return self.__eq__(other) or self.__gt__(other)
def __pow__(self, power):
try:
a = int(power)
except ValueError as err:
raise value_error('Powers of ring elements must be integers.') from err
if a < 0:
raise value_error('Power of ring element must be nonnegative.')
if a == 0:
return self.ring.one()
else:
return self.__mul__(self.__pow__(a - 1))
def __radd__(self, other):
return self.__add__(other)
def __sub__(self, other):
if type(other) is not type(self):
raise type_error(f'Subtraction not defined for types {type(self)} and {type(other)}')
return self.__add__(other.__neg__())
def __repr__(self):
return f'Element of {self.ring}'
|
optimizer = dict(type='Adam', lr=0.001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='poly', power=0.9)
total_epochs = 5000
checkpoint_config = dict(interval=10)
log_config = dict(interval=5, hooks=[dict(type='TextLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
model = dict(
type='PANet',
backbone=dict(
type='mmdet.ResNet',
depth=18,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='SyncBN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'),
norm_eval=True,
style='caffe'),
neck=dict(type='FPEM_FFM', in_channels=[64, 128, 256, 512]),
bbox_head=dict(
type='PANHead',
text_repr_type='poly',
in_channels=[128, 128, 128, 128],
out_channels=6,
loss=dict(type='PANLoss')),
train_cfg=None,
test_cfg=None)
dataset_type = 'IcdarDataset'
data_root = 'data'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='LoadTextAnnotations',
with_bbox=True,
with_mask=True,
poly2mask=False),
dict(type='ColorJitter', brightness=0.12549019607843137, saturation=0.5),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(
type='ScaleAspectJitter',
img_scale=[(3000, 640)],
ratio_range=(0.7, 1.3),
aspect_ratio_range=(0.9, 1.1),
multiscale_mode='value',
keep_ratio=False),
dict(type='PANetTargets', shrink_ratio=(1.0, 0.7)),
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'),
dict(type='RandomRotateTextDet'),
dict(
type='RandomCropInstances',
target_size=(640, 640),
instance_key='gt_kernels'),
dict(type='Pad', size_divisor=32),
dict(
type='CustomFormatBundle',
keys=['gt_kernels', 'gt_mask'],
visualize=dict(flag=False, boundary_key='gt_kernels')),
dict(type='Collect', keys=['img', 'gt_kernels', 'gt_mask'])
]
test_pipeline = [
dict(type='LoadImageFromFile', color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(3000, 640),
flip=False,
transforms=[
dict(type='Resize', img_scale=(3000, 640), keep_ratio=True),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=2,
val_dataloader=dict(samples_per_gpu=1),
test_dataloader=dict(samples_per_gpu=1),
train=dict(
type='IcdarDataset',
ann_file='data/instances_training.json',
img_prefix='data/imgs',
pipeline=[
dict(
type='LoadImageFromFile',
color_type='color_ignore_orientation'),
dict(
type='LoadTextAnnotations',
with_bbox=True,
with_mask=True,
poly2mask=False),
dict(
type='ColorJitter',
brightness=0.12549019607843137,
saturation=0.5),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(
type='ScaleAspectJitter',
img_scale=[(3000, 640)],
ratio_range=(0.7, 1.3),
aspect_ratio_range=(0.9, 1.1),
multiscale_mode='value',
keep_ratio=False),
dict(type='PANetTargets', shrink_ratio=(1.0, 0.7)),
dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'),
dict(type='RandomRotateTextDet'),
dict(
type='RandomCropInstances',
target_size=(640, 640),
instance_key='gt_kernels'),
dict(type='Pad', size_divisor=32),
dict(
type='CustomFormatBundle',
keys=['gt_kernels', 'gt_mask'],
visualize=dict(flag=False, boundary_key='gt_kernels')),
dict(type='Collect', keys=['img', 'gt_kernels', 'gt_mask'])
]),
val=dict(
type='IcdarDataset',
ann_file='data/instances_test.json',
img_prefix='data/imgs',
pipeline=[
dict(
type='LoadImageFromFile',
color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(3000, 640),
flip=False,
transforms=[
dict(
type='Resize', img_scale=(3000, 640), keep_ratio=True),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]),
test=dict(
type='IcdarDataset',
ann_file='data/instances_test.json',
img_prefix='data/imgs',
pipeline=[
dict(
type='LoadImageFromFile',
color_type='color_ignore_orientation'),
dict(
type='MultiScaleFlipAug',
img_scale=(3000, 640),
flip=False,
transforms=[
dict(
type='Resize', img_scale=(3000, 640), keep_ratio=True),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]))
evaluation = dict(interval=10, metric='hmean-iou')
work_dir = 'panet'
gpu_ids = range(0, 1)
|
optimizer = dict(type='Adam', lr=0.001)
optimizer_config = dict(grad_clip=None)
lr_config = dict(policy='poly', power=0.9)
total_epochs = 5000
checkpoint_config = dict(interval=10)
log_config = dict(interval=5, hooks=[dict(type='TextLoggerHook')])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
model = dict(type='PANet', backbone=dict(type='mmdet.ResNet', depth=18, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='SyncBN', requires_grad=True), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'), norm_eval=True, style='caffe'), neck=dict(type='FPEM_FFM', in_channels=[64, 128, 256, 512]), bbox_head=dict(type='PANHead', text_repr_type='poly', in_channels=[128, 128, 128, 128], out_channels=6, loss=dict(type='PANLoss')), train_cfg=None, test_cfg=None)
dataset_type = 'IcdarDataset'
data_root = 'data'
img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), dict(type='LoadTextAnnotations', with_bbox=True, with_mask=True, poly2mask=False), dict(type='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ScaleAspectJitter', img_scale=[(3000, 640)], ratio_range=(0.7, 1.3), aspect_ratio_range=(0.9, 1.1), multiscale_mode='value', keep_ratio=False), dict(type='PANetTargets', shrink_ratio=(1.0, 0.7)), dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'), dict(type='RandomRotateTextDet'), dict(type='RandomCropInstances', target_size=(640, 640), instance_key='gt_kernels'), dict(type='Pad', size_divisor=32), dict(type='CustomFormatBundle', keys=['gt_kernels', 'gt_mask'], visualize=dict(flag=False, boundary_key='gt_kernels')), dict(type='Collect', keys=['img', 'gt_kernels', 'gt_mask'])]
test_pipeline = [dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), dict(type='MultiScaleFlipAug', img_scale=(3000, 640), flip=False, transforms=[dict(type='Resize', img_scale=(3000, 640), keep_ratio=True), dict(type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]
data = dict(samples_per_gpu=2, workers_per_gpu=2, val_dataloader=dict(samples_per_gpu=1), test_dataloader=dict(samples_per_gpu=1), train=dict(type='IcdarDataset', ann_file='data/instances_training.json', img_prefix='data/imgs', pipeline=[dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), dict(type='LoadTextAnnotations', with_bbox=True, with_mask=True, poly2mask=False), dict(type='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict(type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ScaleAspectJitter', img_scale=[(3000, 640)], ratio_range=(0.7, 1.3), aspect_ratio_range=(0.9, 1.1), multiscale_mode='value', keep_ratio=False), dict(type='PANetTargets', shrink_ratio=(1.0, 0.7)), dict(type='RandomFlip', flip_ratio=0.5, direction='horizontal'), dict(type='RandomRotateTextDet'), dict(type='RandomCropInstances', target_size=(640, 640), instance_key='gt_kernels'), dict(type='Pad', size_divisor=32), dict(type='CustomFormatBundle', keys=['gt_kernels', 'gt_mask'], visualize=dict(flag=False, boundary_key='gt_kernels')), dict(type='Collect', keys=['img', 'gt_kernels', 'gt_mask'])]), val=dict(type='IcdarDataset', ann_file='data/instances_test.json', img_prefix='data/imgs', pipeline=[dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), dict(type='MultiScaleFlipAug', img_scale=(3000, 640), flip=False, transforms=[dict(type='Resize', img_scale=(3000, 640), keep_ratio=True), dict(type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]), test=dict(type='IcdarDataset', ann_file='data/instances_test.json', img_prefix='data/imgs', pipeline=[dict(type='LoadImageFromFile', color_type='color_ignore_orientation'), dict(type='MultiScaleFlipAug', img_scale=(3000, 640), flip=False, transforms=[dict(type='Resize', img_scale=(3000, 640), keep_ratio=True), dict(type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]))
evaluation = dict(interval=10, metric='hmean-iou')
work_dir = 'panet'
gpu_ids = range(0, 1)
|
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Command-journalling persistence framework inspired by Prevayler.
This package is deprecated since Twisted 11.0.
Maintainer: Itamar Shtull-Trauring
"""
|
"""
Command-journalling persistence framework inspired by Prevayler.
This package is deprecated since Twisted 11.0.
Maintainer: Itamar Shtull-Trauring
"""
|
# Simple game in python
print('Hi, welcome to the Tim quiz!')
print('Try to get as many questions correct as possible...')
totalQuestions = 4
score = 0
ans = input('1. What is the name of my youtube channel? ')
if ans.lower() == 'tech with tim':
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('2. What is my age? ')
if ans == "17":
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('3. What is my favourite sport? ')
if ans.lower() == "soccer":
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('4. What is my favourite food? ')
if ans.lower() == "pizza":
print('Correct!')
score += 1
else:
print('Incorrect')
print("Thank you for playing, you got " + str(score) + ' questions correct!' )
percent = (score/totalQuestions) * 100
print("Mark: " + str(int(percent)) + '%')
if percent >= 50:
print('Nice! You passed!')
else:
print('Better luck next time')
|
print('Hi, welcome to the Tim quiz!')
print('Try to get as many questions correct as possible...')
total_questions = 4
score = 0
ans = input('1. What is the name of my youtube channel? ')
if ans.lower() == 'tech with tim':
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('2. What is my age? ')
if ans == '17':
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('3. What is my favourite sport? ')
if ans.lower() == 'soccer':
print('Correct!')
score += 1
else:
print('Incorrect')
ans = input('4. What is my favourite food? ')
if ans.lower() == 'pizza':
print('Correct!')
score += 1
else:
print('Incorrect')
print('Thank you for playing, you got ' + str(score) + ' questions correct!')
percent = score / totalQuestions * 100
print('Mark: ' + str(int(percent)) + '%')
if percent >= 50:
print('Nice! You passed!')
else:
print('Better luck next time')
|
# add this file to your .gitignore file of the project
LOCAL_SETTINGS = dict(
media_root='/Users/user/projects/project/media',
path='/Users/user/projects/project',
virtualenv_path='/Users/user/virtualenvs/project',
)
|
local_settings = dict(media_root='/Users/user/projects/project/media', path='/Users/user/projects/project', virtualenv_path='/Users/user/virtualenvs/project')
|
# Copyright (c) 2022 {{cookiecutter.author_name}}
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
"""Version information for {{cookiecutter.project_name}}.
This file is imported by ``{{cookiecutter.package_name}}.__init__``, and parsed by
``setup.py``.
"""
# Note, that dev versions must have an extra dot compared to alpha/beta/rc
# versions in the version string. Examples:
#
# Correct: "1.0.0.dev0" and "1.0.0a1"
# Incorrect: "1.0.0dev0" and "1.0.0.a1"
#
# See PEP 0440 for details - https://www.python.org/dev/peps/pep-0440
__version__ = '1.0.0.dev1'
|
"""Version information for {{cookiecutter.project_name}}.
This file is imported by ``{{cookiecutter.package_name}}.__init__``, and parsed by
``setup.py``.
"""
__version__ = '1.0.0.dev1'
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def tw(f,t,st):
for x in range(t):
f.write("\t")
nl = True
if st[-1] == "#":
nl = False
st = st[:-1]
f.write(st)
if nl:
f.write("\n")
def write_property_lua(f, tab, name, value, pref = ""):
tw(f, tab, '%s{ name = "%s",' % (pref, name))
tab = tab + 1
if (type(value)==str):
tw(f, tab, 'value = "%s",' % value)
tw(f, t, 'type = "string",')
elif (type(value)==bool):
if (value):
tw(f, tab, 'value = true,')
else:
tw(f, tab, 'value = false,')
tw(f, t, 'type = "bool",')
elif (type(value)==int):
tw(f, t, 'type = "int",')
tw(f, tab, 'value = %d,' % value)
elif (type(value)==float):
tw(f, t, 'type = "real",')
tw(f, tab, 'value = %f,' % value)
elif (type(value)==dict):
tw(f, t, 'type = "dictionary",')
for x in value:
write_property_lua(f,tab,x,value[x])
elif (isinstance(value,ObjectTree)):
if (not value._resource):
print("ERROR: Not a resource!!")
tw(f, tab-1, "},")
return
tw(f, tab, 'type = "resource",')
tw(f, tab, 'resource_type = "%s",' % value._type)
if (value._res_path!=""):
tw(f, tab, 'path = "%s",' % value._res_path)
else:
tw(f, tab, "value = {")
tab = tab + 1
tw(f, tab, 'type = "%s",' % value._type)
for x in value._properties:
write_property_lua(f,tab,x[0],x[1])
tab = tab - 1
tw(f, tab, "},")
elif (isinstance(value,Color)):
tw(f, tab, 'type = "color",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f, %.20f },' % (value.r, value.g, value.b, value.a))
elif (isinstance(value,Vector3)):
tw(f, tab, 'type = "vector3",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f },' % (value.x, value.y, value.z))
elif (isinstance(value,Quat)):
tw(f, tab, 'type = "quaternion",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f, %.20f },' % (value.x, value.y, value.z, value.w))
elif (isinstance(value,Matrix4x3)): # wtf, blender matrix?
tw(f, tab, 'type = "transform",')
tw(f, tab, 'value = { #')
for i in range(3):
for j in range(3):
f.write("%.20f, " % value.m[j][i])
for i in range(3):
f.write("%.20f, " % value.m[i][3])
f.write("},\n")
elif (type(value)==list):
if (len(value)==0):
tw(f, tab-1, "},")
return
first=value[0]
if (type(first)==int):
tw(f, tab, 'type = "int_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write("%d, " % value[i])
f.write("},\n")
elif (type(first)==float):
tw(f, tab, 'type = "real_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write("%.20f, " % value[i])
f.write("},\n")
elif (type(first)==str):
tw(f, tab, 'type = "string_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('"%s", ' % value[i])
f.write("},\n")
elif (isinstance(first,Vector3)):
tw(f, tab, 'type = "vector3_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write("{ %.20f, %.20f, %.20f }, " % (value[i].x, value[i].y, value[i].z))
f.write("},\n")
elif (isinstance(first,Color)):
tw(f, tab, 'type = "color_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write("{ %.20f, %.20f, %.20f, %.20f }, " % (value[i].r, value[i].g, value[i].b, value[i].a))
f.write("},\n")
elif (type(first)==dict):
tw(f, tab, 'type = "dict_array",')
tw(f, tab, 'value = {')
for i in range(len(value)):
write_property_lua(f,tab+1,str(i+1),value[i])
tw(f, tab, '},')
tw(f, tab-1, "},")
def write_node_lua(f,tab,tree,path):
tw(f, tab, '{ type = "%s",')
if not tree._resource:
tw(f, tab+1, 'meta = {')
write_property_lua(f, tab+3, "name", tree._name)
if path != "":
write_property_lua(f, tab+3, "path", path)
tw(f, tab+1, '},')
tw(f, tab+1, "properties = {,")
for x in tree._properties:
write_property_lua(f,tab+2,x[0],x[1])
tw(f, tab+1, "},")
tw(f, tab, '},')
if (path==""):
path="."
else:
if (path=="."):
path=tree._name
else:
path=path+"/"+tree._name
#path="."
for x in tree._children:
write_node_lua(f,tab,x,path)
def write(tree,fname):
f=open(fname,"wb")
f.write("return = {\n")
f.write('\tmagic = "SCENE",\n')
tab = 1
write_node_lua(f,tab,tree,"")
f.write("}\n\n")
|
def tw(f, t, st):
for x in range(t):
f.write('\t')
nl = True
if st[-1] == '#':
nl = False
st = st[:-1]
f.write(st)
if nl:
f.write('\n')
def write_property_lua(f, tab, name, value, pref=''):
tw(f, tab, '%s{ name = "%s",' % (pref, name))
tab = tab + 1
if type(value) == str:
tw(f, tab, 'value = "%s",' % value)
tw(f, t, 'type = "string",')
elif type(value) == bool:
if value:
tw(f, tab, 'value = true,')
else:
tw(f, tab, 'value = false,')
tw(f, t, 'type = "bool",')
elif type(value) == int:
tw(f, t, 'type = "int",')
tw(f, tab, 'value = %d,' % value)
elif type(value) == float:
tw(f, t, 'type = "real",')
tw(f, tab, 'value = %f,' % value)
elif type(value) == dict:
tw(f, t, 'type = "dictionary",')
for x in value:
write_property_lua(f, tab, x, value[x])
elif isinstance(value, ObjectTree):
if not value._resource:
print('ERROR: Not a resource!!')
tw(f, tab - 1, '},')
return
tw(f, tab, 'type = "resource",')
tw(f, tab, 'resource_type = "%s",' % value._type)
if value._res_path != '':
tw(f, tab, 'path = "%s",' % value._res_path)
else:
tw(f, tab, 'value = {')
tab = tab + 1
tw(f, tab, 'type = "%s",' % value._type)
for x in value._properties:
write_property_lua(f, tab, x[0], x[1])
tab = tab - 1
tw(f, tab, '},')
elif isinstance(value, Color):
tw(f, tab, 'type = "color",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f, %.20f },' % (value.r, value.g, value.b, value.a))
elif isinstance(value, Vector3):
tw(f, tab, 'type = "vector3",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f },' % (value.x, value.y, value.z))
elif isinstance(value, Quat):
tw(f, tab, 'type = "quaternion",')
tw(f, tab, 'value = { %.20f, %.20f, %.20f, %.20f },' % (value.x, value.y, value.z, value.w))
elif isinstance(value, Matrix4x3):
tw(f, tab, 'type = "transform",')
tw(f, tab, 'value = { #')
for i in range(3):
for j in range(3):
f.write('%.20f, ' % value.m[j][i])
for i in range(3):
f.write('%.20f, ' % value.m[i][3])
f.write('},\n')
elif type(value) == list:
if len(value) == 0:
tw(f, tab - 1, '},')
return
first = value[0]
if type(first) == int:
tw(f, tab, 'type = "int_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('%d, ' % value[i])
f.write('},\n')
elif type(first) == float:
tw(f, tab, 'type = "real_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('%.20f, ' % value[i])
f.write('},\n')
elif type(first) == str:
tw(f, tab, 'type = "string_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('"%s", ' % value[i])
f.write('},\n')
elif isinstance(first, Vector3):
tw(f, tab, 'type = "vector3_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('{ %.20f, %.20f, %.20f }, ' % (value[i].x, value[i].y, value[i].z))
f.write('},\n')
elif isinstance(first, Color):
tw(f, tab, 'type = "color_array",')
tw(f, tab, 'value = #')
for i in range(len(value)):
f.write('{ %.20f, %.20f, %.20f, %.20f }, ' % (value[i].r, value[i].g, value[i].b, value[i].a))
f.write('},\n')
elif type(first) == dict:
tw(f, tab, 'type = "dict_array",')
tw(f, tab, 'value = {')
for i in range(len(value)):
write_property_lua(f, tab + 1, str(i + 1), value[i])
tw(f, tab, '},')
tw(f, tab - 1, '},')
def write_node_lua(f, tab, tree, path):
tw(f, tab, '{ type = "%s",')
if not tree._resource:
tw(f, tab + 1, 'meta = {')
write_property_lua(f, tab + 3, 'name', tree._name)
if path != '':
write_property_lua(f, tab + 3, 'path', path)
tw(f, tab + 1, '},')
tw(f, tab + 1, 'properties = {,')
for x in tree._properties:
write_property_lua(f, tab + 2, x[0], x[1])
tw(f, tab + 1, '},')
tw(f, tab, '},')
if path == '':
path = '.'
elif path == '.':
path = tree._name
else:
path = path + '/' + tree._name
for x in tree._children:
write_node_lua(f, tab, x, path)
def write(tree, fname):
f = open(fname, 'wb')
f.write('return = {\n')
f.write('\tmagic = "SCENE",\n')
tab = 1
write_node_lua(f, tab, tree, '')
f.write('}\n\n')
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fileout = open("requests.sh", "w")
for i in range(1,57):
if i >= 10:
s = "0" + str(i)
else:
s = "00" + str(i)
fileout.write("curl -s -H 'Content-Type: application/json' -H " + '"Authorization: Bearer `gcloud auth print-access-token`"' + " https://speech.googleapis.com/v1/speech:recognize -d" + ''' "{'config': {'encoding':'FLAC','sampleRateHertz': 44100,'languageCode': 'en-US','enableWordTimeOffsets': false},'audio': {'uri':'gs://bamboo-foundation-6245/SPLIT-'''+s+'''.flac'}}" > TEMP/OUT-'''+s+".txt\n")
fileout.close();
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fileout = open('requests.sh', 'w')
for i in range(1, 57):
if i >= 10:
s = '0' + str(i)
else:
s = '00' + str(i)
fileout.write("curl -s -H 'Content-Type: application/json' -H " + '"Authorization: Bearer `gcloud auth print-access-token`"' + ' https://speech.googleapis.com/v1/speech:recognize -d' + ' "{\'config\': {\'encoding\':\'FLAC\',\'sampleRateHertz\': 44100,\'languageCode\': \'en-US\',\'enableWordTimeOffsets\': false},\'audio\': {\'uri\':\'gs://bamboo-foundation-6245/SPLIT-' + s + '.flac\'}}" > TEMP/OUT-' + s + '.txt\n')
fileout.close()
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def define_env(env):
"Definition of the module"
@env.macro
def feedback(title, section, slug):
email_address = f"{section}+{slug}@technotes.jakoubek.net"
md = "\n\n## Feedback / Kontakt\n\n"
md += f"Wenn Sie Fragen oder Anregungen zum Artikel *{title}* haben, senden Sie mir bitte eine E-Mail an: [{email_address}](mailto:{email_address}?subject=[Technotes] {title})"
return md
# def on_post_page_macros(env):
# env.raw_markdown += "{{ feedback(page.meta.title, page.meta.section, page.meta.slug) }}"
# env.raw_markdown += '\n\n## Feedback / Kontakt\n\n'
# env.raw_markdown += 'Wenn Sie Fragen oder Anregungen zum Artikel *' + \
# env.page.title + '* haben ...'
# env.raw_markdown += env.page.abs_url
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def define_env(env):
"""Definition of the module"""
@env.macro
def feedback(title, section, slug):
email_address = f'{section}+{slug}@technotes.jakoubek.net'
md = '\n\n## Feedback / Kontakt\n\n'
md += f'Wenn Sie Fragen oder Anregungen zum Artikel *{title}* haben, senden Sie mir bitte eine E-Mail an: [{email_address}](mailto:{email_address}?subject=[Technotes] {title})'
return md
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class Solution:
# # Greedy (Accepted), O(n) time, O(1) space
# def canPlaceFlowers(self, flowerbed: List[int], n: int) -> bool:
# plots = len(flowerbed)
# flowerbed.append(0)
# prev = planted = 0
# for i in range(plots):
# if flowerbed[i] == 0:
# if prev == 0 and flowerbed[i+1] == 0:
# planted += 1
# flowerbed[i] = 1
# prev = flowerbed[i]
# return planted >= n
# Greedy (Top Voted), O(n) time, O(1) space
def canPlaceFlowers(self, A: List[int], N: int) -> bool:
for i, x in enumerate(A):
if (not x and (i == 0 or A[i-1] == 0)
and (i == len(A)-1 or A[i+1] == 0)):
N -= 1
A[i] = 1
return N <= 0
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class Solution:
def can_place_flowers(self, A: List[int], N: int) -> bool:
for (i, x) in enumerate(A):
if not x and (i == 0 or A[i - 1] == 0) and (i == len(A) - 1 or A[i + 1] == 0):
n -= 1
A[i] = 1
return N <= 0
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# PyZ3950_parsetab.py
# This file is automatically generated. Do not edit.
_lr_method = 'SLR'
_lr_signature = '\xfc\xb2\xa8\xb7\xd9\xe7\xad\xba"\xb2Ss\'\xcd\x08\x16'
_lr_action_items = {'QUOTEDVALUE':([18,12,14,0,26,],[1,1,1,1,1,]),'LOGOP':([3,5,20,4,6,27,19,24,25,13,22,1,],[-5,-8,-4,-14,14,14,14,-9,-6,-13,-7,-12,]),'SET':([12,14,0,26,],[10,10,10,10,]),'WORD':([12,14,0,5,18,13,24,4,16,15,1,26,],[4,4,4,13,4,-13,13,-14,22,21,-12,4,]),'$':([2,5,3,7,28,25,13,1,4,6,22,20,24,],[-1,-8,-5,0,-3,-6,-13,-12,-14,-2,-7,-4,-9,]),'SLASH':([21,],[26,]),'ATTRSET':([0,],[8,]),'QUAL':([26,17,14,0,12,],[9,23,9,9,9,]),'COMMA':([23,9,11,],[-11,-10,17,]),'LPAREN':([26,14,0,8,12,],[12,12,12,15,12,]),'RPAREN':([19,3,22,1,25,27,5,13,20,4,24,],[25,-5,-7,-12,-6,28,-8,-13,-4,-14,-9,]),'RELOP':([9,11,23,10,],[-10,18,-11,16,]),}
_lr_action = { }
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_action[(_x,_k)] = _y
del _lr_action_items
_lr_goto_items = {'cclfind_or_attrset':([0,],[2,]),'elements':([12,14,26,0,],[3,20,3,3,]),'val':([12,18,14,26,0,],[5,24,5,5,5,]),'top':([0,],[7,]),'cclfind':([12,0,26,],[19,6,27,]),'quallist':([26,12,14,0,],[11,11,11,11,]),}
_lr_goto = { }
for _k, _v in _lr_goto_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_goto[(_x,_k)] = _y
del _lr_goto_items
_lr_productions = [
("S'",1,None,None,None),
('top',1,'p_top','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',170),
('cclfind_or_attrset',1,'p_cclfind_or_attrset_1','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',174),
('cclfind_or_attrset',6,'p_cclfind_or_attrset_2','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',178),
('cclfind',3,'p_ccl_find_1','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',182),
('cclfind',1,'p_ccl_find_2','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',186),
('elements',3,'p_elements_1','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',190),
('elements',3,'p_elements_2','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',212),
('elements',1,'p_elements_3','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',218),
('elements',3,'p_elements_4','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',222),
('quallist',1,'p_quallist_1','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',229),
('quallist',3,'p_quallist_2','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',233),
('val',1,'p_val_1','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',237),
('val',2,'p_val_2','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',241),
('val',1,'p_val_3','/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py',245),
]
|
_lr_method = 'SLR'
_lr_signature = 'ü²¨·Ùç\xadº"²Ss\'Í\x08\x16'
_lr_action_items = {'QUOTEDVALUE': ([18, 12, 14, 0, 26], [1, 1, 1, 1, 1]), 'LOGOP': ([3, 5, 20, 4, 6, 27, 19, 24, 25, 13, 22, 1], [-5, -8, -4, -14, 14, 14, 14, -9, -6, -13, -7, -12]), 'SET': ([12, 14, 0, 26], [10, 10, 10, 10]), 'WORD': ([12, 14, 0, 5, 18, 13, 24, 4, 16, 15, 1, 26], [4, 4, 4, 13, 4, -13, 13, -14, 22, 21, -12, 4]), '$': ([2, 5, 3, 7, 28, 25, 13, 1, 4, 6, 22, 20, 24], [-1, -8, -5, 0, -3, -6, -13, -12, -14, -2, -7, -4, -9]), 'SLASH': ([21], [26]), 'ATTRSET': ([0], [8]), 'QUAL': ([26, 17, 14, 0, 12], [9, 23, 9, 9, 9]), 'COMMA': ([23, 9, 11], [-11, -10, 17]), 'LPAREN': ([26, 14, 0, 8, 12], [12, 12, 12, 15, 12]), 'RPAREN': ([19, 3, 22, 1, 25, 27, 5, 13, 20, 4, 24], [25, -5, -7, -12, -6, 28, -8, -13, -4, -14, -9]), 'RELOP': ([9, 11, 23, 10], [-10, 18, -11, 16])}
_lr_action = {}
for (_k, _v) in _lr_action_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
_lr_action[_x, _k] = _y
del _lr_action_items
_lr_goto_items = {'cclfind_or_attrset': ([0], [2]), 'elements': ([12, 14, 26, 0], [3, 20, 3, 3]), 'val': ([12, 18, 14, 26, 0], [5, 24, 5, 5, 5]), 'top': ([0], [7]), 'cclfind': ([12, 0, 26], [19, 6, 27]), 'quallist': ([26, 12, 14, 0], [11, 11, 11, 11])}
_lr_goto = {}
for (_k, _v) in _lr_goto_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
_lr_goto[_x, _k] = _y
del _lr_goto_items
_lr_productions = [("S'", 1, None, None, None), ('top', 1, 'p_top', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 170), ('cclfind_or_attrset', 1, 'p_cclfind_or_attrset_1', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 174), ('cclfind_or_attrset', 6, 'p_cclfind_or_attrset_2', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 178), ('cclfind', 3, 'p_ccl_find_1', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 182), ('cclfind', 1, 'p_ccl_find_2', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 186), ('elements', 3, 'p_elements_1', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 190), ('elements', 3, 'p_elements_2', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 212), ('elements', 1, 'p_elements_3', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 218), ('elements', 3, 'p_elements_4', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 222), ('quallist', 1, 'p_quallist_1', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 229), ('quallist', 3, 'p_quallist_2', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 233), ('val', 1, 'p_val_1', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 237), ('val', 2, 'p_val_2', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 241), ('val', 1, 'p_val_3', '/Users/cjkarr/Desktop/python-z3950-importer/PyZ3950/ccl.py', 245)]
|
#
# PySNMP MIB module RSPAN-MGMT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RSPAN-MGMT-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:50:21 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ValueSizeConstraint, ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ValueSizeConstraint", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint")
dlink_common_mgmt, = mibBuilder.importSymbols("DLINK-ID-REC-MIB", "dlink-common-mgmt")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
MibIdentifier, iso, Counter64, Bits, ModuleIdentity, ObjectIdentity, IpAddress, NotificationType, Unsigned32, Gauge32, Integer32, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "iso", "Counter64", "Bits", "ModuleIdentity", "ObjectIdentity", "IpAddress", "NotificationType", "Unsigned32", "Gauge32", "Integer32", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks")
TextualConvention, DisplayString, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "RowStatus")
class VlanId(Integer32):
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 4094)
class PortList(OctetString):
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(0, 127)
swRSPANMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 171, 12, 68))
if mibBuilder.loadTexts: swRSPANMIB.setLastUpdated('200807290000Z')
if mibBuilder.loadTexts: swRSPANMIB.setOrganization('D-Link Crop.')
swRSPANCtrl = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 1))
swRSPANInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 2))
swRSPANMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 3))
swRSPANState = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: swRSPANState.setStatus('current')
swRSPANMaxSupportedEntry = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 2, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: swRSPANMaxSupportedEntry.setStatus('current')
swRSPANCurrentNumEntries = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 2, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: swRSPANCurrentNumEntries.setStatus('current')
swRSPANTable = MibTable((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1), )
if mibBuilder.loadTexts: swRSPANTable.setStatus('current')
swRSPANEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1), ).setIndexNames((0, "RSPAN-MGMT-MIB", "swRSPANVLANID"))
if mibBuilder.loadTexts: swRSPANEntry.setStatus('current')
swRSPANVLANID = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 1), VlanId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: swRSPANVLANID.setStatus('current')
swRSPANSourceIngress = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 2), PortList()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: swRSPANSourceIngress.setStatus('current')
swRSPANSourceEgress = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 3), PortList()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: swRSPANSourceEgress.setStatus('current')
swRSPANRedirct = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 4), PortList()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: swRSPANRedirct.setStatus('current')
swRSPANRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: swRSPANRowStatus.setStatus('current')
mibBuilder.exportSymbols("RSPAN-MGMT-MIB", swRSPANTable=swRSPANTable, PortList=PortList, swRSPANInfo=swRSPANInfo, swRSPANSourceIngress=swRSPANSourceIngress, swRSPANSourceEgress=swRSPANSourceEgress, swRSPANRedirct=swRSPANRedirct, swRSPANMIB=swRSPANMIB, swRSPANEntry=swRSPANEntry, VlanId=VlanId, swRSPANMaxSupportedEntry=swRSPANMaxSupportedEntry, swRSPANState=swRSPANState, swRSPANRowStatus=swRSPANRowStatus, swRSPANVLANID=swRSPANVLANID, swRSPANCurrentNumEntries=swRSPANCurrentNumEntries, swRSPANCtrl=swRSPANCtrl, PYSNMP_MODULE_ID=swRSPANMIB, swRSPANMgmt=swRSPANMgmt)
|
(integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, value_size_constraint, constraints_intersection, constraints_union, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ValueSizeConstraint', 'ConstraintsIntersection', 'ConstraintsUnion', 'SingleValueConstraint')
(dlink_common_mgmt,) = mibBuilder.importSymbols('DLINK-ID-REC-MIB', 'dlink-common-mgmt')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(mib_identifier, iso, counter64, bits, module_identity, object_identity, ip_address, notification_type, unsigned32, gauge32, integer32, counter32, mib_scalar, mib_table, mib_table_row, mib_table_column, time_ticks) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibIdentifier', 'iso', 'Counter64', 'Bits', 'ModuleIdentity', 'ObjectIdentity', 'IpAddress', 'NotificationType', 'Unsigned32', 'Gauge32', 'Integer32', 'Counter32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'TimeTicks')
(textual_convention, display_string, row_status) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString', 'RowStatus')
class Vlanid(Integer32):
subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 4094)
class Portlist(OctetString):
subtype_spec = OctetString.subtypeSpec + value_size_constraint(0, 127)
sw_rspanmib = module_identity((1, 3, 6, 1, 4, 1, 171, 12, 68))
if mibBuilder.loadTexts:
swRSPANMIB.setLastUpdated('200807290000Z')
if mibBuilder.loadTexts:
swRSPANMIB.setOrganization('D-Link Crop.')
sw_rspan_ctrl = mib_identifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 1))
sw_rspan_info = mib_identifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 2))
sw_rspan_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 171, 12, 68, 3))
sw_rspan_state = mib_scalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
swRSPANState.setStatus('current')
sw_rspan_max_supported_entry = mib_scalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 2, 1), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
swRSPANMaxSupportedEntry.setStatus('current')
sw_rspan_current_num_entries = mib_scalar((1, 3, 6, 1, 4, 1, 171, 12, 68, 2, 2), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
swRSPANCurrentNumEntries.setStatus('current')
sw_rspan_table = mib_table((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1))
if mibBuilder.loadTexts:
swRSPANTable.setStatus('current')
sw_rspan_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1)).setIndexNames((0, 'RSPAN-MGMT-MIB', 'swRSPANVLANID'))
if mibBuilder.loadTexts:
swRSPANEntry.setStatus('current')
sw_rspanvlanid = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 1), vlan_id()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
swRSPANVLANID.setStatus('current')
sw_rspan_source_ingress = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 2), port_list()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
swRSPANSourceIngress.setStatus('current')
sw_rspan_source_egress = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 3), port_list()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
swRSPANSourceEgress.setStatus('current')
sw_rspan_redirct = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 4), port_list()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
swRSPANRedirct.setStatus('current')
sw_rspan_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 68, 3, 1, 1, 5), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
swRSPANRowStatus.setStatus('current')
mibBuilder.exportSymbols('RSPAN-MGMT-MIB', swRSPANTable=swRSPANTable, PortList=PortList, swRSPANInfo=swRSPANInfo, swRSPANSourceIngress=swRSPANSourceIngress, swRSPANSourceEgress=swRSPANSourceEgress, swRSPANRedirct=swRSPANRedirct, swRSPANMIB=swRSPANMIB, swRSPANEntry=swRSPANEntry, VlanId=VlanId, swRSPANMaxSupportedEntry=swRSPANMaxSupportedEntry, swRSPANState=swRSPANState, swRSPANRowStatus=swRSPANRowStatus, swRSPANVLANID=swRSPANVLANID, swRSPANCurrentNumEntries=swRSPANCurrentNumEntries, swRSPANCtrl=swRSPANCtrl, PYSNMP_MODULE_ID=swRSPANMIB, swRSPANMgmt=swRSPANMgmt)
|
class Node:
def __init__(self, declaration_list):
self.declaration_list = declaration_list
def visit(self):
context = {"type": "program"}
return self.declaration_list.visit(context)
|
class Node:
def __init__(self, declaration_list):
self.declaration_list = declaration_list
def visit(self):
context = {'type': 'program'}
return self.declaration_list.visit(context)
|
"""
Problem Description
The program takes a list from the user and finds the cumulative
sum of a list where the ith element is the sum of the first i+1 elements from the original list.
Problem Solution
1. Declare an empty list and initialise to an empty list.
2. Consider a for loop to accept values for the list.
3. Take the number of elements in the list and store it in a variable.
4. Accept the values into the list using another for loop and insert into the list.
5. Using list comprehension and list slicing, find the cumulative sum of elements in the list.
6. Print the original list and the new list.
7. Exit.
"""
a=[]
n=int(input("Enter the number of elements in list: "))
for i in range(n):
data=int(input(f"Enter elements at position {i}: "))
a.append(data)
print("elements in the list: ",end=" ")
for i in range(n):
print(a[i],end=" ")
print()
b=[sum(a[0:i+1]) for i in range(0,n)]
print(f"The new list is: {b}")
|
"""
Problem Description
The program takes a list from the user and finds the cumulative
sum of a list where the ith element is the sum of the first i+1 elements from the original list.
Problem Solution
1. Declare an empty list and initialise to an empty list.
2. Consider a for loop to accept values for the list.
3. Take the number of elements in the list and store it in a variable.
4. Accept the values into the list using another for loop and insert into the list.
5. Using list comprehension and list slicing, find the cumulative sum of elements in the list.
6. Print the original list and the new list.
7. Exit.
"""
a = []
n = int(input('Enter the number of elements in list: '))
for i in range(n):
data = int(input(f'Enter elements at position {i}: '))
a.append(data)
print('elements in the list: ', end=' ')
for i in range(n):
print(a[i], end=' ')
print()
b = [sum(a[0:i + 1]) for i in range(0, n)]
print(f'The new list is: {b}')
|
"""Application deployment configuration parameters."""
PROTOCOL = 'http'
HOSTNAME = 'localhost'
PORT = 6040
|
"""Application deployment configuration parameters."""
protocol = 'http'
hostname = 'localhost'
port = 6040
|
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 22 11:20:42 2021
@author: Keisha
"""
class Bird:
def intro(self):
print("There are man y types of birds.")
def flight(self):
print("Most of the birds can fly ut some caqnnot.")
class sparrow(Bird):
def flight(self):
print("Sparrows can fly.")
class ostrich(Bird):
def flight(self):
print("Ostriches cannot fly.")
obj_bird = Bird()
obj_spr = sparrow()
obj_ost = ostrich()
obj_bird.intro()
obj_bird.flight()
obj_spr.intro()
obj_spr.flight()
obj_ost.intro()
obj_ost.flight()
|
"""
Created on Tue Jun 22 11:20:42 2021
@author: Keisha
"""
class Bird:
def intro(self):
print('There are man y types of birds.')
def flight(self):
print('Most of the birds can fly ut some caqnnot.')
class Sparrow(Bird):
def flight(self):
print('Sparrows can fly.')
class Ostrich(Bird):
def flight(self):
print('Ostriches cannot fly.')
obj_bird = bird()
obj_spr = sparrow()
obj_ost = ostrich()
obj_bird.intro()
obj_bird.flight()
obj_spr.intro()
obj_spr.flight()
obj_ost.intro()
obj_ost.flight()
|
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def _diameterBTree(self,root):
if not root:
return 0
l = self._diameterBTree(root.left)
r = self._diameterBTree(root.right)
self.ans = max(self.ans,1+l+r)
return 1+max(l,r)
def diameterOfBinaryTree(self, root: TreeNode) -> int:
if not root:
return 0
self.ans = 0
self._diameterBTree(root)
return self.ans-1
|
class Treenode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def _diameter_b_tree(self, root):
if not root:
return 0
l = self._diameterBTree(root.left)
r = self._diameterBTree(root.right)
self.ans = max(self.ans, 1 + l + r)
return 1 + max(l, r)
def diameter_of_binary_tree(self, root: TreeNode) -> int:
if not root:
return 0
self.ans = 0
self._diameterBTree(root)
return self.ans - 1
|
class Modification:
def __init__(self):
self.AAs=[]
self.mass=0.0
self.NL={}
self.DI={}
self.factor=1
self.name=""
self.ID=-1
def setAAs(self, newAAlist):
self.AAs=newAAlist
return True
def getAAs(self):
return self.AAs
def setMass(self, newMass):
self.mass=newMass
return True
def getMass(self):
return self.mass
def setNL(self, newNLdict):
self.NL=newNLdict
return True
def getNL(self):
return self.NL
def setDI(self, newDIdict):
self.DI=newDIdict
return True
def getDI(self):
return self.DI
def setName(self, newName):
self.name=newName
return True
def getName(self):
return self.name
def setID(self, newID):
self.ID=str(newID)
return True
def getID(self):
return self.ID
def create(self,nameString,modString,NLstring):#,DIstring):
self.name=nameString
for each in modString.split()[0]: # This will be each AA...
self.AAs.append(each)
self.mass=modString.split()[1]
for each in NLstring.split()[0]:
if each != "-":
self.NL[each]=float(NLstring.split()[1])
#for each in DIstring.split()[0]:
# if each != "-":
# self.DI[each]=float(DIstring.split()[1])
def __str__(self):
return self.ID+"_"+self.name+"_"+str(self.mass)
|
class Modification:
def __init__(self):
self.AAs = []
self.mass = 0.0
self.NL = {}
self.DI = {}
self.factor = 1
self.name = ''
self.ID = -1
def set_a_as(self, newAAlist):
self.AAs = newAAlist
return True
def get_a_as(self):
return self.AAs
def set_mass(self, newMass):
self.mass = newMass
return True
def get_mass(self):
return self.mass
def set_nl(self, newNLdict):
self.NL = newNLdict
return True
def get_nl(self):
return self.NL
def set_di(self, newDIdict):
self.DI = newDIdict
return True
def get_di(self):
return self.DI
def set_name(self, newName):
self.name = newName
return True
def get_name(self):
return self.name
def set_id(self, newID):
self.ID = str(newID)
return True
def get_id(self):
return self.ID
def create(self, nameString, modString, NLstring):
self.name = nameString
for each in modString.split()[0]:
self.AAs.append(each)
self.mass = modString.split()[1]
for each in NLstring.split()[0]:
if each != '-':
self.NL[each] = float(NLstring.split()[1])
def __str__(self):
return self.ID + '_' + self.name + '_' + str(self.mass)
|
class Node:
def __init__(self,data):
self.data=data
self.next=None
class LinkedList:
def __init__(self):
self.head=None
def append(self,newdata):
new_node=Node(newdata)
if self.head is None:
self.head=new_node
return
temp=self.head
while(temp.next):
temp=temp.next
temp.next=new_node
def first_node_of_loop(self,node):
# finding the position where fast=slow
slow=self.head
fast = self.head
while(True):
slow = slow.next
fast = fast.next.next
if slow==fast:
break
#starting from head move fast & cur_node until they are equal
cur_node=self.head
while(cur_node!=fast):
fast=fast.next
cur_node=cur_node.next
return cur_node
arr = list(map(int,input().split()))
l = LinkedList()
for i in range(lenn(arr)):
l.append(arr[i])
print(l.first_node_of_loop(l.head))
|
class Node:
def __init__(self, data):
self.data = data
self.next = None
class Linkedlist:
def __init__(self):
self.head = None
def append(self, newdata):
new_node = node(newdata)
if self.head is None:
self.head = new_node
return
temp = self.head
while temp.next:
temp = temp.next
temp.next = new_node
def first_node_of_loop(self, node):
slow = self.head
fast = self.head
while True:
slow = slow.next
fast = fast.next.next
if slow == fast:
break
cur_node = self.head
while cur_node != fast:
fast = fast.next
cur_node = cur_node.next
return cur_node
arr = list(map(int, input().split()))
l = linked_list()
for i in range(lenn(arr)):
l.append(arr[i])
print(l.first_node_of_loop(l.head))
|
"""
AS PYTHON DOESN'T HAVE CONSTANT DECLARATION, THE NEXT METHODS
RETURN THE VALUES WHO NEED CONSTANT BEHAVIOR.
"""
def VGL_SHAPE_NCHANNELS():
return 0
def VGL_SHAPE_WIDTH():
return 1
def VGL_SHAPE_HEIGHT():
return 2
def VGL_SHAPE_LENGTH():
return 3
def VGL_MAX_DIM():
return 10
def VGL_ARR_SHAPE_SIZE():
return VGL_MAX_DIM()+1
def VGL_ARR_CLSTREL_SIZE():
return 256
def VGL_STREL_CUBE():
return 1
def VGL_STREL_CROSS():
return 2
def VGL_STREL_GAUSS():
return 3
def VGL_STREL_MEAN():
return 4
def VGL_IMAGE_3D_IMAGE():
return 0
def VGL_IMAGE_2D_IMAGE():
return 1
|
"""
AS PYTHON DOESN'T HAVE CONSTANT DECLARATION, THE NEXT METHODS
RETURN THE VALUES WHO NEED CONSTANT BEHAVIOR.
"""
def vgl_shape_nchannels():
return 0
def vgl_shape_width():
return 1
def vgl_shape_height():
return 2
def vgl_shape_length():
return 3
def vgl_max_dim():
return 10
def vgl_arr_shape_size():
return vgl_max_dim() + 1
def vgl_arr_clstrel_size():
return 256
def vgl_strel_cube():
return 1
def vgl_strel_cross():
return 2
def vgl_strel_gauss():
return 3
def vgl_strel_mean():
return 4
def vgl_image_3_d_image():
return 0
def vgl_image_2_d_image():
return 1
|
def simplest_numbers_generator():
"""Simplest Number Generator, yielding only two values - 1 and 2.
Disclaimer: Use it just to trace how next and yield operators works.
This example is not useful in real world!
"""
num = 1
print("Yielding", num)
yield num
num +=1
print("Yielding", num)
yield 2
num +=1
print("Yielding", num)
print("Sory, there is nothing to yield...")
def test_simplest_numbers_generator(test):
"""To test the simplest_numbers_generator, use:
test_simplest_numbers_generator("for")
-- to see the generator behaviour on for loop
test_simplest_numbers_generator("next")
-- to see the generator behaviour on next() call
"""
print_header("Testing simplest_numbers_generator on {}".format(test), "#", 50)
# create num_gen generator
num_gen = simplest_numbers_generator()
# print( num_gen.__dir__() )
if test == "for":
for i in num_gen:
print(i)
elif test == "next":
# ask the num_gen for 2 values:
print( next(num_gen) )
print( next(num_gen) )
# ask num_gen for more values that it can yield
print( next(num_gen) )
def print_header(msg, symbol, width):
"""Summary
Args:
msg (String): the text to be printed
symbol (String): the border symbol
width (Int): the width of printing area
"""
print("\n")
print(symbol*width)
print(symbol+msg.center(width-2)+symbol)
print(symbol*width)
test_simplest_numbers_generator("for")
test_simplest_numbers_generator("next")
|
def simplest_numbers_generator():
"""Simplest Number Generator, yielding only two values - 1 and 2.
Disclaimer: Use it just to trace how next and yield operators works.
This example is not useful in real world!
"""
num = 1
print('Yielding', num)
yield num
num += 1
print('Yielding', num)
yield 2
num += 1
print('Yielding', num)
print('Sory, there is nothing to yield...')
def test_simplest_numbers_generator(test):
"""To test the simplest_numbers_generator, use:
test_simplest_numbers_generator("for")
-- to see the generator behaviour on for loop
test_simplest_numbers_generator("next")
-- to see the generator behaviour on next() call
"""
print_header('Testing simplest_numbers_generator on {}'.format(test), '#', 50)
num_gen = simplest_numbers_generator()
if test == 'for':
for i in num_gen:
print(i)
elif test == 'next':
print(next(num_gen))
print(next(num_gen))
print(next(num_gen))
def print_header(msg, symbol, width):
"""Summary
Args:
msg (String): the text to be printed
symbol (String): the border symbol
width (Int): the width of printing area
"""
print('\n')
print(symbol * width)
print(symbol + msg.center(width - 2) + symbol)
print(symbol * width)
test_simplest_numbers_generator('for')
test_simplest_numbers_generator('next')
|
""" --- What is wrong with this family? --- Simple
You have a list of family relationships between father and son.
Every element on this list has two elements. The first is the
father's name, the second is a son's name. All names in the family
are unique. Check if the family tree is correct. There are
no strangers in the family tree. All connections in the family are natural.
Input: list of lists. Every element has two strings. List
has at least one element
Output: bool. Is family tree correct.
Precondition: 1 <= len(tree) < 100
"""
def my_solution(tree):
ancestor = tree[0][0]
dict_tree = {}
for father, son in tree:
if dict_tree.get(father, None):
dict_tree[father].append(son)
else:
dict_tree[father] = [son, ]
fathers = dict_tree.keys()
sons = [i for s in dict_tree.values() for i in s]
if len(fathers) == 1:
return True
if set(fathers) - {ancestor, } - set(sons):
return False
if len(set(sons)) < len(sons):
return False
for k, v in dict_tree.items():
for f in v:
if k in dict_tree.get(f, []):
return False
return True
def tom_tom_solution(tree):
fathers, sons = zip(*tree)
fathers_set, sons_set = set(fathers), set(sons)
return (all(father != son for father, son in tree) and
len(fathers_set - sons_set) == 1 and
len(sons) == len(sons_set))
|
""" --- What is wrong with this family? --- Simple
You have a list of family relationships between father and son.
Every element on this list has two elements. The first is the
father's name, the second is a son's name. All names in the family
are unique. Check if the family tree is correct. There are
no strangers in the family tree. All connections in the family are natural.
Input: list of lists. Every element has two strings. List
has at least one element
Output: bool. Is family tree correct.
Precondition: 1 <= len(tree) < 100
"""
def my_solution(tree):
ancestor = tree[0][0]
dict_tree = {}
for (father, son) in tree:
if dict_tree.get(father, None):
dict_tree[father].append(son)
else:
dict_tree[father] = [son]
fathers = dict_tree.keys()
sons = [i for s in dict_tree.values() for i in s]
if len(fathers) == 1:
return True
if set(fathers) - {ancestor} - set(sons):
return False
if len(set(sons)) < len(sons):
return False
for (k, v) in dict_tree.items():
for f in v:
if k in dict_tree.get(f, []):
return False
return True
def tom_tom_solution(tree):
(fathers, sons) = zip(*tree)
(fathers_set, sons_set) = (set(fathers), set(sons))
return all((father != son for (father, son) in tree)) and len(fathers_set - sons_set) == 1 and (len(sons) == len(sons_set))
|
"""CSP (Constraint Satisfaction Problems) problems and solvers. (Chapter 6)."""
# CLASS FROM https://github.com/aimacode/aima-python/ slightly modified for performance (see tag @modified)
# the proof about performance can be found in the files original_results.txt and modified_results.txt
# @modified: removed unused imports
class CSP:
"""This class describes finite-domain Constraint Satisfaction Problems.
A CSP is specified by the following inputs:
variables A list of variables; each is atomic (e.g. int or string).
domains A dict of {var:[possible_value, ...]} entries.
neighbors A dict of {var:[var,...]} that for each variable lists
the other variables that participate in constraints.
constraints A function f(A, a, B, b) that returns true if neighbors
A, B satisfy the constraint when they have values A=a, B=b
In the textbook and in most mathematical definitions, the
constraints are specified as explicit pairs of allowable values,
but the formulation here is easier to express and more compact for
most cases. (For example, the n-Queens problem can be represented
in O(n) space using this notation, instead of O(N^4) for the
explicit representation.) In terms of describing the CSP as a
problem, that's all there is.
However, the class also supports data structures and methods that help you
solve CSPs by calling a search function on the CSP. Methods and slots are
as follows, where the argument 'a' represents an assignment, which is a
dict of {var:val} entries:
assign(var, val, a) Assign a[var] = val; do other bookkeeping
unassign(var, a) Do del a[var], plus other bookkeeping
nconflicts(var, val, a) Return the number of other variables that
conflict with var=val
curr_domains[var] Slot: remaining consistent values for var
Used by constraint propagation routines.
The following methods are used only by graph_search and tree_search:
actions(state) Return a list of actions
result(state, action) Return a successor of state
goal_test(state) Return true if all constraints satisfied
The following are just for debugging purposes:
nassigns Slot: tracks the number of assignments made
display(a) Print a human-readable representation
"""
# added a variable to save the number of backtracks
# in my opinion it is better to show the backtracks instead of the assignments
def __init__(self, variables, domains, neighbors, constraints):
"""Construct a CSP problem. If variables is empty, it becomes domains.keys()."""
variables = variables or list(domains.keys())
self.variables = variables
self.domains = domains
self.neighbors = neighbors
self.constraints = constraints
self.initial = ()
self.curr_domains = None
self.nassigns = 0
self.n_bt = 0
def assign(self, var, val, assignment):
"""Add {var: val} to assignment; Discard the old value if any."""
assignment[var] = val
self.nassigns += 1
def unassign(self, var, assignment):
"""Remove {var: val} from assignment.
DO NOT call this if you are changing a variable to a new value;
just call assign for that."""
if var in assignment:
del assignment[var]
# @Modified: the original used a recursive function, in my opinion this one looks better
# and is easier to understand
def nconflicts(self, var, val, assignment):
"""Return the number of conflicts var=val has with other variables."""
count = 0
for var2 in self.neighbors.get(var):
val2 = None
if assignment.__contains__(var2):
val2 = assignment[var2]
if val2 is not None and self.constraints(var, val, var2, val2) is False:
count += 1
return count
def display(self, assignment):
"""Show a human-readable representation of the CSP."""
# Subclasses can print in a prettier way, or display with a GUI
print('CSP:', self, 'with assignment:', assignment)
def goal_test(self, state):
"""The goal is to assign all variables, with all constraints satisfied."""
assignment = dict(state)
return (len(assignment) == len(self.variables)
and all(self.nconflicts(variables, assignment[variables], assignment) == 0
for variables in self.variables))
# These are for constraint propagation
def support_pruning(self):
"""Make sure we can prune values from domains. (We want to pay
for this only if we use it.)"""
if self.curr_domains is None:
self.curr_domains = {v: list(self.domains[v]) for v in self.variables}
def suppose(self, var, value):
"""Start accumulating inferences from assuming var=value."""
self.support_pruning()
removals = [(var, a) for a in self.curr_domains[var] if a != value]
self.curr_domains[var] = [value]
return removals
def prune(self, var, value, removals):
"""Rule out var=value."""
self.curr_domains[var].remove(value)
if removals is not None:
removals.append((var, value))
def choices(self, var):
"""Return all values for var that aren't currently ruled out."""
return (self.curr_domains or self.domains)[var]
def restore(self, removals):
"""Undo a supposition and all inferences from it."""
for B, b in removals:
self.curr_domains[B].append(b)
# ______________a________________________________________________________________
# Constraint Propagation with AC-3
def AC3(csp, queue=None, removals=None):
"""[Figure 6.3]"""
if queue is None:
queue = [(Xi, Xk) for Xi in csp.variables for Xk in csp.neighbors[Xi]]
csp.support_pruning()
while queue:
(Xi, Xj) = queue.pop()
if revise(csp, Xi, Xj, removals):
if not csp.curr_domains[Xi]:
return False
for Xk in csp.neighbors[Xi]:
if Xk != Xi:
queue.append((Xk, Xi))
return True
def revise(csp, Xi, Xj, removals):
"""Return true if we remove a value."""
revised = False
for x in csp.curr_domains[Xi][:]:
# If Xi=x conflicts with Xj=y for every possible y, eliminate Xi=x
if all(not csp.constraints(Xi, x, Xj, y) for y in csp.curr_domains[Xj]):
csp.prune(Xi, x, removals)
revised = True
return revised
# ______________________________________________________________________________
# CSP Backtracking Search
# Variable ordering
# @Modified: we just want the first one that haven't been assigned so returning fast is good
def first_unassigned_variable(assignment, csp):
"""The default variable order."""
for var in csp.variables:
if var not in assignment:
return var
# @Modified: the original used a function from util files and was harder to understand,
# it also apparently used 2 for loops: one to find the minimum and
# other one to create a list (and a lambda function)
def mrv(assignment, csp):
"""Minimum-remaining-values heuristic."""
vars_to_check = []
size = []
for v in csp.variables:
if v not in assignment.keys():
vars_to_check.append(v)
size.append(num_legal_values(csp, v, assignment))
return vars_to_check[size.index(min(size))]
# @Modified: the original used a function count and a list, in my opinion it is faster to
# just count with a loop 'for' without calling external functions
def num_legal_values(csp, var, assignment):
if csp.curr_domains:
return len(csp.curr_domains[var])
else:
count = 0
for val in csp.domains[var]:
if csp.nconflicts(var, val, assignment) == 0:
count += 1
return count
# Value ordering
def unordered_domain_values(var, assignment, csp):
"""The default value order."""
return csp.choices(var)
def lcv(var, assignment, csp):
"""Least-constraining-values heuristic."""
return sorted(csp.choices(var),
key=lambda val: csp.nconflicts(var, val, assignment))
# Inference
def no_inference(csp, var, value, assignment, removals):
return True
def forward_checking(csp, var, value, assignment, removals):
"""Prune neighbor values inconsistent with var=value."""
for B in csp.neighbors[var]:
if B not in assignment:
for b in csp.curr_domains[B][:]:
if not csp.constraints(var, value, B, b):
csp.prune(B, b, removals)
if not csp.curr_domains[B]:
return False
return True
def mac(csp, var, value, assignment, removals):
"""Maintain arc consistency."""
return AC3(csp, [(X, var) for X in csp.neighbors[var]], removals)
# The search, proper
# @Modified: we should notice that with MRV it works good since the partial initial state
# leaves some variables with unitary domain so we will start to assign these variables.
# Added csp.n_bt+=1
def backtracking_search(csp,
select_unassigned_variable,
order_domain_values,
inference):
"""[Figure 6.5]"""
def backtrack(assignment):
if len(assignment) == len(csp.variables):
return assignment
var = select_unassigned_variable(assignment, csp)
for value in order_domain_values(var, assignment, csp):
if 0 == csp.nconflicts(var, value, assignment):
csp.assign(var, value, assignment)
removals = csp.suppose(var, value)
if inference(csp, var, value, assignment, removals):
result = backtrack(assignment)
if result is not None:
return result
else:
csp.n_bt += 1
csp.restore(removals)
csp.unassign(var, assignment)
return None
result = backtrack({})
assert result is None or csp.goal_test(result)
return result
def different_values_constraint(A, a, B, b):
"""A constraint saying two neighboring variables must differ in value."""
return a != b
|
"""CSP (Constraint Satisfaction Problems) problems and solvers. (Chapter 6)."""
class Csp:
"""This class describes finite-domain Constraint Satisfaction Problems.
A CSP is specified by the following inputs:
variables A list of variables; each is atomic (e.g. int or string).
domains A dict of {var:[possible_value, ...]} entries.
neighbors A dict of {var:[var,...]} that for each variable lists
the other variables that participate in constraints.
constraints A function f(A, a, B, b) that returns true if neighbors
A, B satisfy the constraint when they have values A=a, B=b
In the textbook and in most mathematical definitions, the
constraints are specified as explicit pairs of allowable values,
but the formulation here is easier to express and more compact for
most cases. (For example, the n-Queens problem can be represented
in O(n) space using this notation, instead of O(N^4) for the
explicit representation.) In terms of describing the CSP as a
problem, that's all there is.
However, the class also supports data structures and methods that help you
solve CSPs by calling a search function on the CSP. Methods and slots are
as follows, where the argument 'a' represents an assignment, which is a
dict of {var:val} entries:
assign(var, val, a) Assign a[var] = val; do other bookkeeping
unassign(var, a) Do del a[var], plus other bookkeeping
nconflicts(var, val, a) Return the number of other variables that
conflict with var=val
curr_domains[var] Slot: remaining consistent values for var
Used by constraint propagation routines.
The following methods are used only by graph_search and tree_search:
actions(state) Return a list of actions
result(state, action) Return a successor of state
goal_test(state) Return true if all constraints satisfied
The following are just for debugging purposes:
nassigns Slot: tracks the number of assignments made
display(a) Print a human-readable representation
"""
def __init__(self, variables, domains, neighbors, constraints):
"""Construct a CSP problem. If variables is empty, it becomes domains.keys()."""
variables = variables or list(domains.keys())
self.variables = variables
self.domains = domains
self.neighbors = neighbors
self.constraints = constraints
self.initial = ()
self.curr_domains = None
self.nassigns = 0
self.n_bt = 0
def assign(self, var, val, assignment):
"""Add {var: val} to assignment; Discard the old value if any."""
assignment[var] = val
self.nassigns += 1
def unassign(self, var, assignment):
"""Remove {var: val} from assignment.
DO NOT call this if you are changing a variable to a new value;
just call assign for that."""
if var in assignment:
del assignment[var]
def nconflicts(self, var, val, assignment):
"""Return the number of conflicts var=val has with other variables."""
count = 0
for var2 in self.neighbors.get(var):
val2 = None
if assignment.__contains__(var2):
val2 = assignment[var2]
if val2 is not None and self.constraints(var, val, var2, val2) is False:
count += 1
return count
def display(self, assignment):
"""Show a human-readable representation of the CSP."""
print('CSP:', self, 'with assignment:', assignment)
def goal_test(self, state):
"""The goal is to assign all variables, with all constraints satisfied."""
assignment = dict(state)
return len(assignment) == len(self.variables) and all((self.nconflicts(variables, assignment[variables], assignment) == 0 for variables in self.variables))
def support_pruning(self):
"""Make sure we can prune values from domains. (We want to pay
for this only if we use it.)"""
if self.curr_domains is None:
self.curr_domains = {v: list(self.domains[v]) for v in self.variables}
def suppose(self, var, value):
"""Start accumulating inferences from assuming var=value."""
self.support_pruning()
removals = [(var, a) for a in self.curr_domains[var] if a != value]
self.curr_domains[var] = [value]
return removals
def prune(self, var, value, removals):
"""Rule out var=value."""
self.curr_domains[var].remove(value)
if removals is not None:
removals.append((var, value))
def choices(self, var):
"""Return all values for var that aren't currently ruled out."""
return (self.curr_domains or self.domains)[var]
def restore(self, removals):
"""Undo a supposition and all inferences from it."""
for (b, b) in removals:
self.curr_domains[B].append(b)
def ac3(csp, queue=None, removals=None):
"""[Figure 6.3]"""
if queue is None:
queue = [(Xi, Xk) for xi in csp.variables for xk in csp.neighbors[Xi]]
csp.support_pruning()
while queue:
(xi, xj) = queue.pop()
if revise(csp, Xi, Xj, removals):
if not csp.curr_domains[Xi]:
return False
for xk in csp.neighbors[Xi]:
if Xk != Xi:
queue.append((Xk, Xi))
return True
def revise(csp, Xi, Xj, removals):
"""Return true if we remove a value."""
revised = False
for x in csp.curr_domains[Xi][:]:
if all((not csp.constraints(Xi, x, Xj, y) for y in csp.curr_domains[Xj])):
csp.prune(Xi, x, removals)
revised = True
return revised
def first_unassigned_variable(assignment, csp):
"""The default variable order."""
for var in csp.variables:
if var not in assignment:
return var
def mrv(assignment, csp):
"""Minimum-remaining-values heuristic."""
vars_to_check = []
size = []
for v in csp.variables:
if v not in assignment.keys():
vars_to_check.append(v)
size.append(num_legal_values(csp, v, assignment))
return vars_to_check[size.index(min(size))]
def num_legal_values(csp, var, assignment):
if csp.curr_domains:
return len(csp.curr_domains[var])
else:
count = 0
for val in csp.domains[var]:
if csp.nconflicts(var, val, assignment) == 0:
count += 1
return count
def unordered_domain_values(var, assignment, csp):
"""The default value order."""
return csp.choices(var)
def lcv(var, assignment, csp):
"""Least-constraining-values heuristic."""
return sorted(csp.choices(var), key=lambda val: csp.nconflicts(var, val, assignment))
def no_inference(csp, var, value, assignment, removals):
return True
def forward_checking(csp, var, value, assignment, removals):
"""Prune neighbor values inconsistent with var=value."""
for b in csp.neighbors[var]:
if B not in assignment:
for b in csp.curr_domains[B][:]:
if not csp.constraints(var, value, B, b):
csp.prune(B, b, removals)
if not csp.curr_domains[B]:
return False
return True
def mac(csp, var, value, assignment, removals):
"""Maintain arc consistency."""
return ac3(csp, [(X, var) for x in csp.neighbors[var]], removals)
def backtracking_search(csp, select_unassigned_variable, order_domain_values, inference):
"""[Figure 6.5]"""
def backtrack(assignment):
if len(assignment) == len(csp.variables):
return assignment
var = select_unassigned_variable(assignment, csp)
for value in order_domain_values(var, assignment, csp):
if 0 == csp.nconflicts(var, value, assignment):
csp.assign(var, value, assignment)
removals = csp.suppose(var, value)
if inference(csp, var, value, assignment, removals):
result = backtrack(assignment)
if result is not None:
return result
else:
csp.n_bt += 1
csp.restore(removals)
csp.unassign(var, assignment)
return None
result = backtrack({})
assert result is None or csp.goal_test(result)
return result
def different_values_constraint(A, a, B, b):
"""A constraint saying two neighboring variables must differ in value."""
return a != b
|
class Error(Exception):
message = None
def __str__(self):
return repr(self.message)
class GSLZeroDivision(Error):
message = "GSL encountered zero division"
class GSLFailure(Error):
message = "GSL failed"
class GSLMemoryFailure(Error):
message = "GSL failed to allocate necessary memory"
class EFSMTruncationIndexExceeded(Error):
message = "Index of truncation exceeds permissible range"
class EFSMCompilationError(Error):
message = "Import error, perhaps you forgot to run 'make'?"
class EFSMConvergenceParam(Error):
message = "Could not estimate convergence parameter"
class EFSMMaximumIterationExceeded(Error):
message = "Exceeded maximum number of iterations allowed"
class EFSMFailure(Error):
message = "EFSM failed"
gsl_error_mapping = {
-1: GSLFailure,
8: GSLMemoryFailure,
12: GSLZeroDivision
}
|
class Error(Exception):
message = None
def __str__(self):
return repr(self.message)
class Gslzerodivision(Error):
message = 'GSL encountered zero division'
class Gslfailure(Error):
message = 'GSL failed'
class Gslmemoryfailure(Error):
message = 'GSL failed to allocate necessary memory'
class Efsmtruncationindexexceeded(Error):
message = 'Index of truncation exceeds permissible range'
class Efsmcompilationerror(Error):
message = "Import error, perhaps you forgot to run 'make'?"
class Efsmconvergenceparam(Error):
message = 'Could not estimate convergence parameter'
class Efsmmaximumiterationexceeded(Error):
message = 'Exceeded maximum number of iterations allowed'
class Efsmfailure(Error):
message = 'EFSM failed'
gsl_error_mapping = {-1: GSLFailure, 8: GSLMemoryFailure, 12: GSLZeroDivision}
|
"""
Tema: Recursividad y Factoriales.
Curso: Pensamiento computacional.
Plataforma: Platzi.
Profesor: David Aroesti.
Alumno: @edinsonrequena.
"""
def factorial(n):
"""Calcula el factorial de n
n int > 0
returns n!
"""
print(n)
if n == 1:
return 1
return n * factorial(n - 1)
def main():
a = int(input("Escribe un entero: "))
print(factorial(a))
if '__main__' == __name__:
main()
|
"""
Tema: Recursividad y Factoriales.
Curso: Pensamiento computacional.
Plataforma: Platzi.
Profesor: David Aroesti.
Alumno: @edinsonrequena.
"""
def factorial(n):
"""Calcula el factorial de n
n int > 0
returns n!
"""
print(n)
if n == 1:
return 1
return n * factorial(n - 1)
def main():
a = int(input('Escribe un entero: '))
print(factorial(a))
if '__main__' == __name__:
main()
|
# coding=utf-8
class TestTeamcityMessages:
def testPass(self):
pass
def testAssertEqual(self):
assert (True == True)
def testAssertEqualFails(self):
assert 1 == 2
def testAssertFalse(self):
assert False
def testException(self):
raise Exception("some exception")
|
class Testteamcitymessages:
def test_pass(self):
pass
def test_assert_equal(self):
assert True == True
def test_assert_equal_fails(self):
assert 1 == 2
def test_assert_false(self):
assert False
def test_exception(self):
raise exception('some exception')
|
volatile = False
log_norm = False
# Maximal sequence length in training data
max_seq_len = 50
'''
Embedding layer
'''
# Size of word embedding of source word and target word
src_wemb_size = 512
trg_wemb_size = 512
'''
Encoder layer
'''
# Size of hidden units in encoder
enc_hid_size = 512
'''
Attention layer
'''
# Size of alignment vector
align_size = 512
'''
Decoder layer
'''
# Size of hidden units in decoder
dec_hid_size = 512
# Size of the output vector
out_size = 512
drop_rate = 0.5
# Directory to save model, test output and validation output
dir_model = 'wmodel'
dir_valid = 'wvalid'
dir_tests = 'wtests'
# Validation data
val_shuffle = True
#val_tst_dir = '/home/wen/3.corpus/allnist_stanfordseg_jiujiu/'
#val_tst_dir = '/home5/wen/2.data/allnist_stanseg/'
#val_tst_dir = '/home5/wen/2.data/segment_allnist_stanseg/'
#val_tst_dir = '/home5/wen/2.data/segment_allnist_stanseg_low/'
#val_tst_dir = '/home5/wen/2.data/mt/nist_data_stanseg/'
val_tst_dir = '/home/wen/3.corpus/mt/nist_data_stanseg/'
#val_tst_dir = '/home/wen/3.corpus/segment_allnist_stanseg/'
#val_tst_dir = '/home/wen/3.corpus/wmt2017/de-en/'
#val_tst_dir = './data/'
#val_prefix = 'wmt17.dev'
val_prefix = 'nist02'
#val_prefix = 'devset1_2.lc'
#val_prefix = 'newstest2014.tc'
val_src_suffix = 'src'
val_ref_suffix = 'ref.plain_'
#val_src_suffix = 'zh'
#val_ref_suffix = 'en'
#val_src_suffix = 'en'
#val_ref_suffix = 'de'
ref_cnt = 4
#tests_prefix = ['nist02', 'nist03', 'nist04', 'nist05', 'nist06', 'nist08', 'wmt17.tst']
tests_prefix = ['nist03', 'nist04', 'nist05', 'nist06', 'nist08']
#tests_prefix = ['data2', 'data3', 'test']
#tests_prefix = ['devset3.lc', '900']
#tests_prefix = ['devset3.lc']
#tests_prefix = ['newstest2015.tc', 'newstest2016.tc', 'newstest2017.tc']
#tests_prefix = None
# Training data
train_shuffle = True
batch_size = 80
sort_k_batches = 20
# Data path
dir_data = 'data/'
train_src = dir_data + 'train.src'
train_trg = dir_data + 'train.trg'
# Dictionary
src_vocab_from = train_src
trg_vocab_from = train_trg
src_dict_size = 30000
trg_dict_size = 30000
src_dict = dir_data + 'src.dict.tcf'
trg_dict = dir_data + 'trg.dict.tcf'
inputs_data = dir_data + 'inputs.pt'
# Training
max_epochs = 30
epoch_shuffle = False
epoch_shuffle_minibatch = 1
small = False
display_freq = 10 if small else 1000
sampling_freq = 100 if small else 5000
sample_size = 5
if_fixed_sampling = False
epoch_eval = False
final_test = False
eval_valid_from = 20 if small else 50000
eval_valid_freq = 50 if small else 20000
save_one_model = True
start_epoch = 1
model_prefix = dir_model + '/model'
best_model = dir_valid + '/best.model.pt' if dir_valid else 'best.model.pt'
# pretrained model
#pre_train = None
pre_train = best_model
fix_pre_params = True
# decoder hype-parameters
search_mode = 1
with_batch = 1
ori_search = 0
beam_size = 10
vocab_norm = 1
len_norm = 1
with_mv = 0
merge_way = 'Y'
avg_att = 0
m_threshold = 100.
ngram = 3
length_norm = 0.
cover_penalty = 0.
# optimizer
'''
Starting learning rate. If adagrad/adadelta/adam is used, then this is the global learning rate.
Recommended settings: sgd = 1, adagrad = 0.1, adadelta = 1, adam = 0.001
'''
opt_mode = 'adadelta'
learning_rate = 1.0
#opt_mode = 'adam'
#learning_rate = 1e-3
#opt_mode = 'sgd'
#learning_rate = 1.
max_grad_norm = 1.0
# Start decaying every epoch after and including this epoch
start_decay_from = None
learning_rate_decay = 0.5
last_valid_bleu = 0.
snip_size = 10
file_tran_dir = 'wexp-gpu-nist03'
laynorm = False
segments = False
seg_val_tst_dir = 'orule_1.7'
# model
enc_rnn_type = 'sru' # rnn, gru, lstm, sru
enc_layer_cnt = 4
dec_rnn_type = 'sru' # rnn, gru, lstm, sru
dec_layer_cnt = 4
with_bpe = False
with_postproc = True
copy_trg_emb = False
# 0: groundhog, 1: rnnsearch, 2: ia, 3: ran, 4: rn, 5: sru, 6: cyknet
model = 4
# convolutional layer
#filter_window_size = [1, 3, 5] # windows size
filter_window_size = [1] # windows size
#filter_feats_size = [32, 64, 96]
filter_feats_size = [96]
mlp_size = 256
# generate BTG tree when decoding
dynamic_cyk_decoding = False
print_att = True
# Scheduled Sampling of Samy bengio's paper
ss_type = 1 # 1: linear decay, 2: exponential decay, 3: inverse sigmoid decay
ss_eps_begin = 1 # set None for no scheduled sampling
ss_eps_end = 1
#ss_decay_rate = 0.005
ss_decay_rate = (ss_eps_begin - ss_eps_end) / 10.
ss_k = 0.98 # k < 1 for exponential decay, k >= 1 for inverse sigmoid decay
# free parameter for self-normalization
# 0 is equivalent to the standard neural network objective function.
self_norm_alpha = None
nonlocal_mode = 'dot' # gaussian, dot, embeddedGaussian
#dec_gpu_id = [1]
#dec_gpu_id = None
gpu_id = [0]
#gpu_id = None
|
volatile = False
log_norm = False
max_seq_len = 50
'\nEmbedding layer\n'
src_wemb_size = 512
trg_wemb_size = 512
'\nEncoder layer\n'
enc_hid_size = 512
'\nAttention layer\n'
align_size = 512
'\nDecoder layer\n'
dec_hid_size = 512
out_size = 512
drop_rate = 0.5
dir_model = 'wmodel'
dir_valid = 'wvalid'
dir_tests = 'wtests'
val_shuffle = True
val_tst_dir = '/home/wen/3.corpus/mt/nist_data_stanseg/'
val_prefix = 'nist02'
val_src_suffix = 'src'
val_ref_suffix = 'ref.plain_'
ref_cnt = 4
tests_prefix = ['nist03', 'nist04', 'nist05', 'nist06', 'nist08']
train_shuffle = True
batch_size = 80
sort_k_batches = 20
dir_data = 'data/'
train_src = dir_data + 'train.src'
train_trg = dir_data + 'train.trg'
src_vocab_from = train_src
trg_vocab_from = train_trg
src_dict_size = 30000
trg_dict_size = 30000
src_dict = dir_data + 'src.dict.tcf'
trg_dict = dir_data + 'trg.dict.tcf'
inputs_data = dir_data + 'inputs.pt'
max_epochs = 30
epoch_shuffle = False
epoch_shuffle_minibatch = 1
small = False
display_freq = 10 if small else 1000
sampling_freq = 100 if small else 5000
sample_size = 5
if_fixed_sampling = False
epoch_eval = False
final_test = False
eval_valid_from = 20 if small else 50000
eval_valid_freq = 50 if small else 20000
save_one_model = True
start_epoch = 1
model_prefix = dir_model + '/model'
best_model = dir_valid + '/best.model.pt' if dir_valid else 'best.model.pt'
pre_train = best_model
fix_pre_params = True
search_mode = 1
with_batch = 1
ori_search = 0
beam_size = 10
vocab_norm = 1
len_norm = 1
with_mv = 0
merge_way = 'Y'
avg_att = 0
m_threshold = 100.0
ngram = 3
length_norm = 0.0
cover_penalty = 0.0
'\nStarting learning rate. If adagrad/adadelta/adam is used, then this is the global learning rate.\nRecommended settings: sgd = 1, adagrad = 0.1, adadelta = 1, adam = 0.001\n'
opt_mode = 'adadelta'
learning_rate = 1.0
max_grad_norm = 1.0
start_decay_from = None
learning_rate_decay = 0.5
last_valid_bleu = 0.0
snip_size = 10
file_tran_dir = 'wexp-gpu-nist03'
laynorm = False
segments = False
seg_val_tst_dir = 'orule_1.7'
enc_rnn_type = 'sru'
enc_layer_cnt = 4
dec_rnn_type = 'sru'
dec_layer_cnt = 4
with_bpe = False
with_postproc = True
copy_trg_emb = False
model = 4
filter_window_size = [1]
filter_feats_size = [96]
mlp_size = 256
dynamic_cyk_decoding = False
print_att = True
ss_type = 1
ss_eps_begin = 1
ss_eps_end = 1
ss_decay_rate = (ss_eps_begin - ss_eps_end) / 10.0
ss_k = 0.98
self_norm_alpha = None
nonlocal_mode = 'dot'
gpu_id = [0]
|
# PROBLEM
#
# Now write a program that calculates the minimum fixed monthly payment needed
# in order to pay off a credit card balance within 12 months. By a fixed
# monthly payment, we mean a single number which does not change each month,
# but instead is a constant amount that will be paid each month.
#
# In this problem, we will not be dealing with a minimum monthly payment rate.
#
# The following variables contain values as described below:
# 1. balance - the outstanding balance on the credit card
# 2. annualInterestRate - annual interest rate as a decimal
#
# The program should print out one line: the lowest monthly payment that will
# pay off all debt in under 1 year, for example:
#
# 'Lowest Payment: 180'
#
# Assume that the interest is compounded monthly according to the balance at
# the end of the month (after the payment for that month is made). The monthly
# payment must be a multiple of $10 and is the same for all months. Notice
# that it is possible for the balance to become negative using this payment
# scheme, which is okay.
# For test purposes
balance = 5000
annualInterestRate = 0.18
# SOLUTION
def yearEndBalance(balance, monthlyPayment):
'''
balance: outstanding balance on the credit card (int or float)
monthlyPayment: fixed monthly payment (int or float)
returns: ending balance on the credit card after 12 months (int or float)
'''
for month in range(12):
balance = (balance - monthlyPayment) * (1 + monthlyInterestRate)
return balance
monthlyInterestRate = annualInterestRate / 12.0
monthlyPayment = 10*int(balance/12/10) # Initial guess set as 1/12th of balance
while yearEndBalance(balance, monthlyPayment) > 0:
monthlyPayment += 10
print('Lowest Payment:', monthlyPayment)
|
balance = 5000
annual_interest_rate = 0.18
def year_end_balance(balance, monthlyPayment):
"""
balance: outstanding balance on the credit card (int or float)
monthlyPayment: fixed monthly payment (int or float)
returns: ending balance on the credit card after 12 months (int or float)
"""
for month in range(12):
balance = (balance - monthlyPayment) * (1 + monthlyInterestRate)
return balance
monthly_interest_rate = annualInterestRate / 12.0
monthly_payment = 10 * int(balance / 12 / 10)
while year_end_balance(balance, monthlyPayment) > 0:
monthly_payment += 10
print('Lowest Payment:', monthlyPayment)
|
##Hello World Example
#!/user/bin/env python3
print("Hello", "world!")
|
print('Hello', 'world!')
|
buttons = {
"brightness up": [9097, 4455, 635, 495, 629, 502, 632, 499, 636, 494, 630, 500, 603, 528, 627, 503, 632, 500, 603, 1628, 599, 1632, 606, 1625, 602, 1627, 600, 530, 604, 1626, 601, 1630, 628, 1603, 603, 529, 606, 525, 599, 532, 602, 530, 604, 528, 607, 524, 599, 532, 603, 528, 606, 1625, 610, 1622, 608, 1624, 603, 1627, 600, 1629, 598, 1630, 597, 1631, 596, 1634, 603],
"brightness down": [9115, 4429, 629, 501, 633, 499, 635, 498, 636, 497, 628, 505, 632, 500, 631, 502, 633, 498, 626, 1610, 627, 1597, 630, 1602, 636, 1595, 631, 501, 634, 1598, 598, 1633, 635, 1595, 601, 1630, 627, 505, 629, 502, 633, 499, 604, 527, 631, 502, 629, 503, 600, 532, 634, 497, 606, 1624, 603, 1627, 600, 1630, 597, 1633, 605, 1624, 603, 1627, 600, 1629, 629],
"off": [9093, 4428, 629, 500, 624, 505, 630, 499, 624, 506, 629, 500, 634, 496, 628, 502, 632, 498, 626, 1603, 625, 1604, 633, 1596, 631, 1598, 629, 500, 624, 1605, 636, 1594, 630, 1599, 628, 503, 631, 1598, 629, 501, 633, 498, 626, 504, 630, 501, 633, 497, 627, 503, 631, 1599, 628, 501, 634, 1596, 631, 1599, 628, 1601, 626, 1603, 625, 1605, 632, 1597, 630],
"on": [9103, 4429, 627, 502, 633, 496, 628, 501, 633, 496, 628, 502, 632, 503, 621, 500, 624, 505, 629, 1599, 628, 1600, 627, 1600, 627, 1601, 626, 502, 633, 1595, 631, 1596, 632, 1596, 631, 1597, 629, 1599, 598, 530, 625, 503, 600, 528, 596, 531, 624, 504, 599, 529, 626, 502, 632, 497, 596, 1631, 596, 1632, 595, 1633, 625, 1603, 604, 1624, 603, 1625, 601],
"red": [9119, 4420, 627, 503, 631, 495, 629, 499, 625, 503, 631, 497, 627, 502, 633, 494, 629, 499, 625, 1602, 626, 1602, 625, 1602, 624, 1603, 624, 503, 631, 1597, 630, 1597, 630, 1596, 631, 497, 627, 500, 623, 1604, 623, 505, 630, 497, 627, 501, 633, 495, 629, 499, 625, 1604, 623, 1605, 632, 497, 627, 1601, 626, 1602, 636, 1592, 624, 1605, 632, 1596, 631],
"green": [9083, 4424, 623, 505, 630, 498, 625, 503, 653, 476, 627, 502, 632, 496, 628, 501, 633, 496, 628, 1600, 627, 1601, 626, 1602, 625, 1602, 625, 504, 630, 1598, 629, 1599, 668, 1560, 627, 1601, 626, 503, 631, 1597, 630, 499, 625, 504, 599, 529, 626, 503, 600, 528, 596, 532, 602, 1626, 632, 496, 597, 1631, 596, 1631, 596, 1631, 597, 1631, 596, 1631, 627],
"blue": [9080, 4457, 631, 499, 625, 505, 598, 530, 604, 525, 599, 531, 604, 525, 630, 498, 605, 524, 600, 1628, 599, 1629, 598, 1630, 597, 1631, 596, 532, 602, 1627, 600, 1629, 598, 1631, 596, 533, 601, 1628, 599, 1631, 596, 533, 601, 528, 596, 533, 602, 531, 592, 533, 602, 1627, 600, 528, 596, 533, 601, 1627, 600, 1629, 598, 1630, 597, 1630, 597, 1631, 596],
"white": [9045, 4456, 601, 526, 598, 530, 605, 524, 600, 528, 596, 532, 602, 526, 598, 530, 604, 523, 601, 1627, 600, 1628, 599, 1629, 598, 1631, 596, 532, 602, 1626, 601, 1627, 600, 1628, 599, 1629, 598, 1629, 598, 1630, 597, 532, 602, 526, 598, 531, 604, 525, 599, 529, 605, 524, 600, 528, 606, 522, 603, 1625, 601, 1627, 600, 1627, 600, 1627, 600, 1628, 599],
"orangered": [9072, 4454, 655, 474, 597, 532, 602, 526, 598, 531, 604, 525, 598, 530, 605, 523, 600, 528, 596, 1632, 595, 1632, 595, 1632, 594, 1633, 594, 534, 601, 1627, 600, 1627, 600, 1628, 599, 530, 604, 526, 598, 530, 604, 1623, 604, 524, 600, 528, 596, 533, 601, 527, 597, 1631, 596, 1632, 605, 1624, 603, 525, 599, 1629, 597, 1631, 596, 1632, 595, 1632, 595],
"mediumseagreen": [9058, 4453, 605, 523, 601, 528, 595, 544, 591, 528, 596, 533, 601, 527, 597, 532, 603, 525, 599, 1629, 598, 1629, 598, 1630, 597, 1630, 596, 533, 602, 1625, 602, 1626, 632, 1595, 601, 1626, 632, 496, 628, 500, 624, 1603, 624, 504, 630, 497, 627, 501, 633, 494, 630, 498, 626, 1601, 626, 1601, 625, 503, 632, 1595, 631, 1597, 630, 1597, 630, 1598, 629],
"duke blue": [9048, 4454, 634, 494, 598, 530, 625, 504, 599, 529, 626, 502, 601, 527, 628, 500, 624, 504, 630, 1597, 630, 1598, 630, 1597, 629, 1599, 628, 500, 624, 1603, 624, 1603, 634, 1594, 633, 495, 629, 1599, 628, 500, 634, 1594, 633, 495, 629, 500, 634, 495, 629, 499, 625, 1603, 634, 494, 634, 1594, 629, 500, 624, 1603, 634, 1594, 633, 1595, 632, 1595, 632],
"flash": [9093, 4425, 601, 527, 629, 499, 625, 503, 631, 497, 596, 532, 602, 526, 598, 530, 605, 523, 600, 1627, 601, 1627, 600, 1627, 600, 1628, 599, 529, 605, 1623, 604, 1624, 603, 1625, 603, 1625, 602, 1626, 601, 526, 598, 1629, 598, 530, 604, 523, 601, 527, 597, 531, 604, 524, 600, 528, 596, 1631, 600, 529, 601, 1626, 601, 1627, 600, 1627, 600, 1628, 599],
"darkorange": [9091, 4425, 601, 528, 596, 533, 643, 486, 597, 532, 602, 527, 597, 532, 602, 527, 597, 532, 602, 1627, 600, 1628, 599, 1630, 597, 1631, 596, 533, 601, 1628, 599, 1629, 598, 1631, 596, 543, 592, 526, 597, 1632, 595, 1633, 605, 524, 600, 528, 596, 533, 601, 527, 597, 1632, 605, 1623, 604, 526, 598, 532, 602, 1629, 598, 1631, 607, 1623, 604, 1626, 601],
"carolina blue": [9086, 4456, 602, 528, 606, 525, 599, 537, 598, 528, 606, 525, 599, 532, 602, 528, 596, 534, 600, 1630, 598, 1632, 608, 1622, 602, 1628, 599, 531, 603, 1627, 600, 1629, 598, 1632, 595, 1634, 604, 524, 600, 1629, 598, 1631, 596, 533, 602, 526, 598, 532, 602, 527, 597, 532, 602, 1627, 600, 529, 605, 524, 600, 1629, 598, 1631, 596, 1633, 605, 1624, 603],
"purple": [9081, 4425, 632, 496, 629, 499, 624, 505, 630, 498, 626, 506, 628, 497, 628, 500, 634, 494, 630, 1599, 628, 1600, 627, 1601, 626, 1604, 623, 503, 632, 1596, 630, 1598, 630, 1598, 629, 499, 625, 1604, 633, 1595, 632, 1596, 631, 498, 626, 502, 632, 496, 628, 501, 633, 1596, 635, 495, 625, 505, 630, 501, 633, 1596, 631, 1597, 630, 1599, 628, 1601, 626],
"strobe": [9081, 4424, 633, 496, 628, 501, 634, 495, 628, 501, 634, 496, 628, 502, 632, 497, 627, 502, 601, 1628, 599, 1630, 597, 1632, 595, 1633, 604, 525, 599, 1630, 597, 1632, 605, 1624, 603, 1626, 601, 1628, 599, 1630, 597, 1632, 605, 524, 600, 529, 595, 533, 602, 527, 596, 533, 602, 527, 597, 531, 603, 526, 598, 1631, 596, 1632, 605, 1624, 603, 1626, 601],
"orange": [9082, 4424, 602, 527, 628, 500, 635, 494, 630, 499, 635, 494, 599, 531, 634, 494, 630, 499, 604, 1625, 634, 1594, 632, 1597, 630, 1598, 629, 500, 635, 1594, 633, 1595, 632, 1597, 630, 498, 626, 503, 632, 497, 627, 502, 632, 1596, 631, 497, 627, 502, 632, 496, 628, 1600, 627, 1601, 626, 1602, 626, 1601, 626, 502, 632, 1597, 630, 1599, 628, 1600, 627],
"lightseagreen": [9084, 4461, 597, 533, 601, 528, 596, 533, 601, 527, 628, 501, 633, 496, 597, 531, 603, 527, 597, 1632, 595, 1634, 624, 1604, 634, 1594, 633, 496, 628, 1600, 626, 1603, 624, 1604, 634, 1595, 632, 498, 605, 525, 599, 531, 634, 1594, 633, 496, 628, 500, 634, 495, 629, 499, 625, 1604, 634, 1594, 643, 1586, 631, 497, 627, 1602, 625, 1603, 624, 1604, 633],
"mediumorchid": [9100, 4455, 603, 528, 606, 525, 599, 532, 602, 529, 606, 525, 599, 532, 602, 529, 606, 525, 599, 1636, 601, 1628, 599, 1631, 596, 1634, 603, 527, 597, 1633, 604, 1625, 602, 1628, 599, 532, 602, 1628, 599, 533, 602, 526, 597, 1633, 605, 526, 598, 533, 601, 530, 605, 1626, 601, 530, 604, 1637, 590, 1631, 607, 524, 600, 1630, 597, 1634, 603, 1628, 602],
"fade": [9084, 4459, 599, 532, 602, 529, 605, 525, 599, 532, 602, 528, 607, 524, 599, 532, 603, 528, 595, 1634, 604, 1626, 600, 1629, 598, 1632, 606, 524, 599, 1631, 596, 1634, 604, 1626, 601, 1629, 598, 1631, 596, 534, 600, 528, 596, 1633, 604, 525, 599, 530, 604, 531, 593, 529, 596, 533, 601, 1628, 599, 1630, 597, 532, 602, 1627, 600, 1629, 630, 1599, 597],
"yellow": [9075, 4432, 625, 503, 631, 497, 627, 502, 632, 496, 628, 500, 634, 494, 630, 498, 625, 503, 632, 1597, 630, 1598, 629, 1600, 596, 1631, 627, 502, 632, 1597, 630, 1599, 628, 1603, 635, 496, 628, 502, 601, 1629, 598, 533, 632, 1599, 597, 534, 632, 500, 634, 497, 606, 1625, 633, 1598, 598, 536, 598, 1629, 598, 543, 591, 1628, 599, 1631, 596, 1633, 604],
"teal": [9089, 4454, 602, 529, 626, 505, 599, 532, 602, 528, 627, 504, 631, 499, 635, 495, 629, 501, 633, 1605, 626, 1598, 626, 1605, 601, 1630, 628, 503, 632, 1599, 628, 1602, 604, 1628, 599, 1632, 626, 505, 598, 1633, 604, 528, 607, 1624, 634, 497, 627, 505, 629, 502, 632, 509, 626, 1595, 631, 499, 646, 1585, 631, 500, 635, 1595, 632, 1598, 629, 1601, 626],
"pink": [9095, 4425, 633, 495, 629, 500, 634, 495, 629, 500, 624, 504, 631, 498, 626, 503, 631, 499, 636, 1595, 632, 1596, 631, 1598, 629, 1599, 628, 501, 633, 1595, 632, 1596, 632, 1597, 599, 528, 596, 1632, 595, 1633, 604, 524, 600, 1627, 600, 528, 596, 531, 604, 524, 600, 1628, 599, 529, 595, 533, 604, 1623, 601, 527, 636, 1592, 596, 1632, 605, 1624, 603],
"smooth": [9078, 4423, 635, 495, 629, 502, 632, 498, 637, 494, 629, 501, 634, 497, 627, 503, 631, 499, 635, 1595, 632, 1598, 629, 1601, 626, 1604, 633, 497, 627, 1602, 625, 1605, 633, 1596, 631, 1598, 628, 1602, 625, 1604, 634, 496, 627, 1602, 625, 504, 631, 498, 636, 494, 630, 500, 634, 496, 628, 502, 633, 1597, 630, 501, 633, 1598, 629, 1601, 627, 1604, 633],
}
colors = {
"red": (255,0,0),
"green": (0,255,0),
"blue": (0,0,255),
"white": (255,255,255),
"orangered": (255,69,0),
"mediumseagreen": (60,179,113),
"duke blue": (0,83,155),
"darkorange": (255,140,0),
"carolina blue": (123,175,233),
"purple": (82,45,128),
"orange": (155,165,0),
"lightseagreen": (32,178,170),
"mediumorchid": (186,85,211),
"yellow": (255,255,0),
"teal": (0,128,128),
"pink": (255, 128, 255),
}
|
buttons = {'brightness up': [9097, 4455, 635, 495, 629, 502, 632, 499, 636, 494, 630, 500, 603, 528, 627, 503, 632, 500, 603, 1628, 599, 1632, 606, 1625, 602, 1627, 600, 530, 604, 1626, 601, 1630, 628, 1603, 603, 529, 606, 525, 599, 532, 602, 530, 604, 528, 607, 524, 599, 532, 603, 528, 606, 1625, 610, 1622, 608, 1624, 603, 1627, 600, 1629, 598, 1630, 597, 1631, 596, 1634, 603], 'brightness down': [9115, 4429, 629, 501, 633, 499, 635, 498, 636, 497, 628, 505, 632, 500, 631, 502, 633, 498, 626, 1610, 627, 1597, 630, 1602, 636, 1595, 631, 501, 634, 1598, 598, 1633, 635, 1595, 601, 1630, 627, 505, 629, 502, 633, 499, 604, 527, 631, 502, 629, 503, 600, 532, 634, 497, 606, 1624, 603, 1627, 600, 1630, 597, 1633, 605, 1624, 603, 1627, 600, 1629, 629], 'off': [9093, 4428, 629, 500, 624, 505, 630, 499, 624, 506, 629, 500, 634, 496, 628, 502, 632, 498, 626, 1603, 625, 1604, 633, 1596, 631, 1598, 629, 500, 624, 1605, 636, 1594, 630, 1599, 628, 503, 631, 1598, 629, 501, 633, 498, 626, 504, 630, 501, 633, 497, 627, 503, 631, 1599, 628, 501, 634, 1596, 631, 1599, 628, 1601, 626, 1603, 625, 1605, 632, 1597, 630], 'on': [9103, 4429, 627, 502, 633, 496, 628, 501, 633, 496, 628, 502, 632, 503, 621, 500, 624, 505, 629, 1599, 628, 1600, 627, 1600, 627, 1601, 626, 502, 633, 1595, 631, 1596, 632, 1596, 631, 1597, 629, 1599, 598, 530, 625, 503, 600, 528, 596, 531, 624, 504, 599, 529, 626, 502, 632, 497, 596, 1631, 596, 1632, 595, 1633, 625, 1603, 604, 1624, 603, 1625, 601], 'red': [9119, 4420, 627, 503, 631, 495, 629, 499, 625, 503, 631, 497, 627, 502, 633, 494, 629, 499, 625, 1602, 626, 1602, 625, 1602, 624, 1603, 624, 503, 631, 1597, 630, 1597, 630, 1596, 631, 497, 627, 500, 623, 1604, 623, 505, 630, 497, 627, 501, 633, 495, 629, 499, 625, 1604, 623, 1605, 632, 497, 627, 1601, 626, 1602, 636, 1592, 624, 1605, 632, 1596, 631], 'green': [9083, 4424, 623, 505, 630, 498, 625, 503, 653, 476, 627, 502, 632, 496, 628, 501, 633, 496, 628, 1600, 627, 1601, 626, 1602, 625, 1602, 625, 504, 630, 1598, 629, 1599, 668, 1560, 627, 1601, 626, 503, 631, 1597, 630, 499, 625, 504, 599, 529, 626, 503, 600, 528, 596, 532, 602, 1626, 632, 496, 597, 1631, 596, 1631, 596, 1631, 597, 1631, 596, 1631, 627], 'blue': [9080, 4457, 631, 499, 625, 505, 598, 530, 604, 525, 599, 531, 604, 525, 630, 498, 605, 524, 600, 1628, 599, 1629, 598, 1630, 597, 1631, 596, 532, 602, 1627, 600, 1629, 598, 1631, 596, 533, 601, 1628, 599, 1631, 596, 533, 601, 528, 596, 533, 602, 531, 592, 533, 602, 1627, 600, 528, 596, 533, 601, 1627, 600, 1629, 598, 1630, 597, 1630, 597, 1631, 596], 'white': [9045, 4456, 601, 526, 598, 530, 605, 524, 600, 528, 596, 532, 602, 526, 598, 530, 604, 523, 601, 1627, 600, 1628, 599, 1629, 598, 1631, 596, 532, 602, 1626, 601, 1627, 600, 1628, 599, 1629, 598, 1629, 598, 1630, 597, 532, 602, 526, 598, 531, 604, 525, 599, 529, 605, 524, 600, 528, 606, 522, 603, 1625, 601, 1627, 600, 1627, 600, 1627, 600, 1628, 599], 'orangered': [9072, 4454, 655, 474, 597, 532, 602, 526, 598, 531, 604, 525, 598, 530, 605, 523, 600, 528, 596, 1632, 595, 1632, 595, 1632, 594, 1633, 594, 534, 601, 1627, 600, 1627, 600, 1628, 599, 530, 604, 526, 598, 530, 604, 1623, 604, 524, 600, 528, 596, 533, 601, 527, 597, 1631, 596, 1632, 605, 1624, 603, 525, 599, 1629, 597, 1631, 596, 1632, 595, 1632, 595], 'mediumseagreen': [9058, 4453, 605, 523, 601, 528, 595, 544, 591, 528, 596, 533, 601, 527, 597, 532, 603, 525, 599, 1629, 598, 1629, 598, 1630, 597, 1630, 596, 533, 602, 1625, 602, 1626, 632, 1595, 601, 1626, 632, 496, 628, 500, 624, 1603, 624, 504, 630, 497, 627, 501, 633, 494, 630, 498, 626, 1601, 626, 1601, 625, 503, 632, 1595, 631, 1597, 630, 1597, 630, 1598, 629], 'duke blue': [9048, 4454, 634, 494, 598, 530, 625, 504, 599, 529, 626, 502, 601, 527, 628, 500, 624, 504, 630, 1597, 630, 1598, 630, 1597, 629, 1599, 628, 500, 624, 1603, 624, 1603, 634, 1594, 633, 495, 629, 1599, 628, 500, 634, 1594, 633, 495, 629, 500, 634, 495, 629, 499, 625, 1603, 634, 494, 634, 1594, 629, 500, 624, 1603, 634, 1594, 633, 1595, 632, 1595, 632], 'flash': [9093, 4425, 601, 527, 629, 499, 625, 503, 631, 497, 596, 532, 602, 526, 598, 530, 605, 523, 600, 1627, 601, 1627, 600, 1627, 600, 1628, 599, 529, 605, 1623, 604, 1624, 603, 1625, 603, 1625, 602, 1626, 601, 526, 598, 1629, 598, 530, 604, 523, 601, 527, 597, 531, 604, 524, 600, 528, 596, 1631, 600, 529, 601, 1626, 601, 1627, 600, 1627, 600, 1628, 599], 'darkorange': [9091, 4425, 601, 528, 596, 533, 643, 486, 597, 532, 602, 527, 597, 532, 602, 527, 597, 532, 602, 1627, 600, 1628, 599, 1630, 597, 1631, 596, 533, 601, 1628, 599, 1629, 598, 1631, 596, 543, 592, 526, 597, 1632, 595, 1633, 605, 524, 600, 528, 596, 533, 601, 527, 597, 1632, 605, 1623, 604, 526, 598, 532, 602, 1629, 598, 1631, 607, 1623, 604, 1626, 601], 'carolina blue': [9086, 4456, 602, 528, 606, 525, 599, 537, 598, 528, 606, 525, 599, 532, 602, 528, 596, 534, 600, 1630, 598, 1632, 608, 1622, 602, 1628, 599, 531, 603, 1627, 600, 1629, 598, 1632, 595, 1634, 604, 524, 600, 1629, 598, 1631, 596, 533, 602, 526, 598, 532, 602, 527, 597, 532, 602, 1627, 600, 529, 605, 524, 600, 1629, 598, 1631, 596, 1633, 605, 1624, 603], 'purple': [9081, 4425, 632, 496, 629, 499, 624, 505, 630, 498, 626, 506, 628, 497, 628, 500, 634, 494, 630, 1599, 628, 1600, 627, 1601, 626, 1604, 623, 503, 632, 1596, 630, 1598, 630, 1598, 629, 499, 625, 1604, 633, 1595, 632, 1596, 631, 498, 626, 502, 632, 496, 628, 501, 633, 1596, 635, 495, 625, 505, 630, 501, 633, 1596, 631, 1597, 630, 1599, 628, 1601, 626], 'strobe': [9081, 4424, 633, 496, 628, 501, 634, 495, 628, 501, 634, 496, 628, 502, 632, 497, 627, 502, 601, 1628, 599, 1630, 597, 1632, 595, 1633, 604, 525, 599, 1630, 597, 1632, 605, 1624, 603, 1626, 601, 1628, 599, 1630, 597, 1632, 605, 524, 600, 529, 595, 533, 602, 527, 596, 533, 602, 527, 597, 531, 603, 526, 598, 1631, 596, 1632, 605, 1624, 603, 1626, 601], 'orange': [9082, 4424, 602, 527, 628, 500, 635, 494, 630, 499, 635, 494, 599, 531, 634, 494, 630, 499, 604, 1625, 634, 1594, 632, 1597, 630, 1598, 629, 500, 635, 1594, 633, 1595, 632, 1597, 630, 498, 626, 503, 632, 497, 627, 502, 632, 1596, 631, 497, 627, 502, 632, 496, 628, 1600, 627, 1601, 626, 1602, 626, 1601, 626, 502, 632, 1597, 630, 1599, 628, 1600, 627], 'lightseagreen': [9084, 4461, 597, 533, 601, 528, 596, 533, 601, 527, 628, 501, 633, 496, 597, 531, 603, 527, 597, 1632, 595, 1634, 624, 1604, 634, 1594, 633, 496, 628, 1600, 626, 1603, 624, 1604, 634, 1595, 632, 498, 605, 525, 599, 531, 634, 1594, 633, 496, 628, 500, 634, 495, 629, 499, 625, 1604, 634, 1594, 643, 1586, 631, 497, 627, 1602, 625, 1603, 624, 1604, 633], 'mediumorchid': [9100, 4455, 603, 528, 606, 525, 599, 532, 602, 529, 606, 525, 599, 532, 602, 529, 606, 525, 599, 1636, 601, 1628, 599, 1631, 596, 1634, 603, 527, 597, 1633, 604, 1625, 602, 1628, 599, 532, 602, 1628, 599, 533, 602, 526, 597, 1633, 605, 526, 598, 533, 601, 530, 605, 1626, 601, 530, 604, 1637, 590, 1631, 607, 524, 600, 1630, 597, 1634, 603, 1628, 602], 'fade': [9084, 4459, 599, 532, 602, 529, 605, 525, 599, 532, 602, 528, 607, 524, 599, 532, 603, 528, 595, 1634, 604, 1626, 600, 1629, 598, 1632, 606, 524, 599, 1631, 596, 1634, 604, 1626, 601, 1629, 598, 1631, 596, 534, 600, 528, 596, 1633, 604, 525, 599, 530, 604, 531, 593, 529, 596, 533, 601, 1628, 599, 1630, 597, 532, 602, 1627, 600, 1629, 630, 1599, 597], 'yellow': [9075, 4432, 625, 503, 631, 497, 627, 502, 632, 496, 628, 500, 634, 494, 630, 498, 625, 503, 632, 1597, 630, 1598, 629, 1600, 596, 1631, 627, 502, 632, 1597, 630, 1599, 628, 1603, 635, 496, 628, 502, 601, 1629, 598, 533, 632, 1599, 597, 534, 632, 500, 634, 497, 606, 1625, 633, 1598, 598, 536, 598, 1629, 598, 543, 591, 1628, 599, 1631, 596, 1633, 604], 'teal': [9089, 4454, 602, 529, 626, 505, 599, 532, 602, 528, 627, 504, 631, 499, 635, 495, 629, 501, 633, 1605, 626, 1598, 626, 1605, 601, 1630, 628, 503, 632, 1599, 628, 1602, 604, 1628, 599, 1632, 626, 505, 598, 1633, 604, 528, 607, 1624, 634, 497, 627, 505, 629, 502, 632, 509, 626, 1595, 631, 499, 646, 1585, 631, 500, 635, 1595, 632, 1598, 629, 1601, 626], 'pink': [9095, 4425, 633, 495, 629, 500, 634, 495, 629, 500, 624, 504, 631, 498, 626, 503, 631, 499, 636, 1595, 632, 1596, 631, 1598, 629, 1599, 628, 501, 633, 1595, 632, 1596, 632, 1597, 599, 528, 596, 1632, 595, 1633, 604, 524, 600, 1627, 600, 528, 596, 531, 604, 524, 600, 1628, 599, 529, 595, 533, 604, 1623, 601, 527, 636, 1592, 596, 1632, 605, 1624, 603], 'smooth': [9078, 4423, 635, 495, 629, 502, 632, 498, 637, 494, 629, 501, 634, 497, 627, 503, 631, 499, 635, 1595, 632, 1598, 629, 1601, 626, 1604, 633, 497, 627, 1602, 625, 1605, 633, 1596, 631, 1598, 628, 1602, 625, 1604, 634, 496, 627, 1602, 625, 504, 631, 498, 636, 494, 630, 500, 634, 496, 628, 502, 633, 1597, 630, 501, 633, 1598, 629, 1601, 627, 1604, 633]}
colors = {'red': (255, 0, 0), 'green': (0, 255, 0), 'blue': (0, 0, 255), 'white': (255, 255, 255), 'orangered': (255, 69, 0), 'mediumseagreen': (60, 179, 113), 'duke blue': (0, 83, 155), 'darkorange': (255, 140, 0), 'carolina blue': (123, 175, 233), 'purple': (82, 45, 128), 'orange': (155, 165, 0), 'lightseagreen': (32, 178, 170), 'mediumorchid': (186, 85, 211), 'yellow': (255, 255, 0), 'teal': (0, 128, 128), 'pink': (255, 128, 255)}
|
# Haystack settings for running tests.
DATABASE_ENGINE = 'sqlite3'
DATABASE_NAME = 'haystack_tests.db'
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'haystack',
'core',
]
ROOT_URLCONF = 'core.urls'
HAYSTACK_CONNECTIONS = {
'default': {
'ENGINE': 'core.tests.mocks.MockEngine',
},
}
|
database_engine = 'sqlite3'
database_name = 'haystack_tests.db'
installed_apps = ['django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'haystack', 'core']
root_urlconf = 'core.urls'
haystack_connections = {'default': {'ENGINE': 'core.tests.mocks.MockEngine'}}
|
def first_method():
"""First sibling package method."""
return 1
def second_method():
"""Second sibling package method."""
return 2
|
def first_method():
"""First sibling package method."""
return 1
def second_method():
"""Second sibling package method."""
return 2
|
# Python program for implementation of MergeSort(Implement Divide and conquer)
# MergeSort(arr[], l, r)
# If r > l
# 1. Find the middle point to divide the array into two halves:
# middle m = l+ (r-l)/2
# 2. Call mergeSort for first half:
# Call mergeSort(arr, l, m)
# 3. Call mergeSort for second half:
# Call mergeSort(arr, m+1, r)
# 4. Merge the two halves sorted in step 2 and 3:
# Call merge(arr, l, m, r)
def mergeSort(arr):
if len(arr) > 1:
mid = len(arr)//2
L = arr[:mid]
R = arr[mid:]
mergeSort(L)
mergeSort(R)
i = j = k = 0
while i < len(L) and j < len(R):
if L[i] < R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
while i < len(L):
arr[k] = L[i]
i += 1
k += 1
while j < len(R):
arr[k] = R[j]
j += 1
k += 1
def printList(arr):
for i in range(len(arr)):
print(arr[i], end=" ")
print()
if __name__ == '__main__':
arr = [12, 11, 13, 5, 6, 7]
print("Given array is", end="\n")
printList(arr)
mergeSort(arr)
print("Sorted array is: ", end="\n")
printList(arr)
# Input:
# Given array is
# 12 11 13 5 6 7
# Output:
# Given array is
# 12 11 13 5 6 7
# Sorted array is:
# 5 6 7 11 12 13
|
def merge_sort(arr):
if len(arr) > 1:
mid = len(arr) // 2
l = arr[:mid]
r = arr[mid:]
merge_sort(L)
merge_sort(R)
i = j = k = 0
while i < len(L) and j < len(R):
if L[i] < R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
while i < len(L):
arr[k] = L[i]
i += 1
k += 1
while j < len(R):
arr[k] = R[j]
j += 1
k += 1
def print_list(arr):
for i in range(len(arr)):
print(arr[i], end=' ')
print()
if __name__ == '__main__':
arr = [12, 11, 13, 5, 6, 7]
print('Given array is', end='\n')
print_list(arr)
merge_sort(arr)
print('Sorted array is: ', end='\n')
print_list(arr)
|
# -*- coding: utf-8 -*-
"""Class to represent binary data as hexadecimal."""
class Hexdump(object):
"""Class that defines a hexadecimal representation formatter (hexdump)."""
@classmethod
def _FormatDataLine(cls, data, data_offset, data_size):
"""Formats binary data in a single line of hexadecimal representation.
Args:
data: String containing the binary data.
data_offset: Offset of the data.
data_size: Size of the data.
Returns:
A Unicode string containing a hexadecimal representation of
the binary data.
Raises:
ValueError: if the data offset is out of bounds.
"""
if data_offset < 0 or data_offset >= data_size:
raise ValueError(u'Data offset value out of bounds.')
if data_size - data_offset > 16:
data_size = data_offset + 16
word_values = []
for byte_offset in range(data_offset, data_size, 2):
word_value = u'{0:02x}{1:02x}'.format(
ord(data[byte_offset]), ord(data[byte_offset + 1]))
word_values.append(word_value)
byte_values = []
for byte_offset in range(data_offset, data_size):
byte_value = ord(data[byte_offset])
if byte_value > 31 and byte_value < 127:
byte_value = data[byte_offset]
else:
byte_value = u'.'
byte_values.append(byte_value)
return u'{0:07x}: {1:s} {2:s}'.format(
data_offset, u' '.join(word_values), u''.join(byte_values))
@classmethod
def FormatData(cls, data, data_offset=0, maximum_data_size=None):
"""Formats binary data in hexadecimal representation.
All ASCII characters in the hexadecimal representation (hexdump) are
translated back to their character representation.
Args:
data: String containing the binary data.
data_offset: Optional offset within the data to start formatting.
The default is 0.
maximum_data_size: Optional maximum size of the data to format.
The default is None which represents all of
the binary data.
Returns:
A Unicode string containing a hexadecimal representation of
the binary data.
"""
data_size = len(data)
if maximum_data_size is not None and maximum_data_size < data_size:
data_size = maximum_data_size
output_strings = []
for line_offset in range(data_offset, data_size, 16):
hexdump_line = cls._FormatDataLine(data, line_offset, data_size)
output_strings.append(hexdump_line)
return u'\n'.join(output_strings)
|
"""Class to represent binary data as hexadecimal."""
class Hexdump(object):
"""Class that defines a hexadecimal representation formatter (hexdump)."""
@classmethod
def __format_data_line(cls, data, data_offset, data_size):
"""Formats binary data in a single line of hexadecimal representation.
Args:
data: String containing the binary data.
data_offset: Offset of the data.
data_size: Size of the data.
Returns:
A Unicode string containing a hexadecimal representation of
the binary data.
Raises:
ValueError: if the data offset is out of bounds.
"""
if data_offset < 0 or data_offset >= data_size:
raise value_error(u'Data offset value out of bounds.')
if data_size - data_offset > 16:
data_size = data_offset + 16
word_values = []
for byte_offset in range(data_offset, data_size, 2):
word_value = u'{0:02x}{1:02x}'.format(ord(data[byte_offset]), ord(data[byte_offset + 1]))
word_values.append(word_value)
byte_values = []
for byte_offset in range(data_offset, data_size):
byte_value = ord(data[byte_offset])
if byte_value > 31 and byte_value < 127:
byte_value = data[byte_offset]
else:
byte_value = u'.'
byte_values.append(byte_value)
return u'{0:07x}: {1:s} {2:s}'.format(data_offset, u' '.join(word_values), u''.join(byte_values))
@classmethod
def format_data(cls, data, data_offset=0, maximum_data_size=None):
"""Formats binary data in hexadecimal representation.
All ASCII characters in the hexadecimal representation (hexdump) are
translated back to their character representation.
Args:
data: String containing the binary data.
data_offset: Optional offset within the data to start formatting.
The default is 0.
maximum_data_size: Optional maximum size of the data to format.
The default is None which represents all of
the binary data.
Returns:
A Unicode string containing a hexadecimal representation of
the binary data.
"""
data_size = len(data)
if maximum_data_size is not None and maximum_data_size < data_size:
data_size = maximum_data_size
output_strings = []
for line_offset in range(data_offset, data_size, 16):
hexdump_line = cls._FormatDataLine(data, line_offset, data_size)
output_strings.append(hexdump_line)
return u'\n'.join(output_strings)
|
class Component(object):
_env = None
_di = None
_args = None
_kwargs = None
def setDi(self, di):
self._di = di
def getDi(self):
return self._di
def getEnv(self):
return self._env
def setEnv(self, env):
self._env = env
def setArgs(self, args):
self._args = args
def getArgs(self):
return self._args
def setKwargs(self,kwargs):
self._kwargs = kwargs
def getKwargs(self):
return self._kwargs
def __init__(self, env, di, args, **kwargs):
self._env = env
self._di = di
self._args = args
self._kwargs = kwargs
def run(self):
raise Exception("implement run in {0}".format(self))
|
class Component(object):
_env = None
_di = None
_args = None
_kwargs = None
def set_di(self, di):
self._di = di
def get_di(self):
return self._di
def get_env(self):
return self._env
def set_env(self, env):
self._env = env
def set_args(self, args):
self._args = args
def get_args(self):
return self._args
def set_kwargs(self, kwargs):
self._kwargs = kwargs
def get_kwargs(self):
return self._kwargs
def __init__(self, env, di, args, **kwargs):
self._env = env
self._di = di
self._args = args
self._kwargs = kwargs
def run(self):
raise exception('implement run in {0}'.format(self))
|
with open('F:\\url.txt', 'r') as f:
list1 = f.readlines()
def remain720p(args):
return args.find('720P') > 0
list2 = filter(remain720p, list1)
with open('F:\\url2.txt', 'w') as f2:
for str2 in list2:
f2.writelines(str2)
|
with open('F:\\url.txt', 'r') as f:
list1 = f.readlines()
def remain720p(args):
return args.find('720P') > 0
list2 = filter(remain720p, list1)
with open('F:\\url2.txt', 'w') as f2:
for str2 in list2:
f2.writelines(str2)
|
"""
This contains emperically derived constants from Hutto and Gilbert (2014)
"""
# (empirically derived mean sentiment intensity rating increase for booster words)
B_INCR = 0.293
B_DECR = -0.293
# (empirically derived mean sentiment intensity rating increase for using ALLCAPs to emphasize a word)
C_INCR = 0.733 # capitatilization scaler
N_SCALAR = -0.74
BEFORE_BUT_SCALAR = 0.5
AFTER_BUT_SCALAR = 1.5
|
"""
This contains emperically derived constants from Hutto and Gilbert (2014)
"""
b_incr = 0.293
b_decr = -0.293
c_incr = 0.733
n_scalar = -0.74
before_but_scalar = 0.5
after_but_scalar = 1.5
|
def fib(i: int) -> int:
if i == 0 or i == 1:
return 1
return fib(i - 1) + fib(i - 2)
if __name__ == "__main__":
# Using a variable to workaround
# https://github.com/adsharma/py2many/issues/64
rv = fib(5)
print(rv)
|
def fib(i: int) -> int:
if i == 0 or i == 1:
return 1
return fib(i - 1) + fib(i - 2)
if __name__ == '__main__':
rv = fib(5)
print(rv)
|
"""Constants for the Shelly integration."""
COAP = "coap"
DATA_CONFIG_ENTRY = "config_entry"
DEVICE = "device"
DOMAIN = "shelly"
REST = "rest"
CONF_COAP_PORT = "coap_port"
DEFAULT_COAP_PORT = 5683
# Used in "_async_update_data" as timeout for polling data from devices.
POLLING_TIMEOUT_SEC = 18
# Refresh interval for REST sensors
REST_SENSORS_UPDATE_INTERVAL = 60
# Timeout used for aioshelly calls
AIOSHELLY_DEVICE_TIMEOUT_SEC = 10
# Multiplier used to calculate the "update_interval" for sleeping devices.
SLEEP_PERIOD_MULTIPLIER = 1.2
# Multiplier used to calculate the "update_interval" for non-sleeping devices.
UPDATE_PERIOD_MULTIPLIER = 2.2
# Shelly Air - Maximum work hours before lamp replacement
SHAIR_MAX_WORK_HOURS = 9000
# Map Shelly input events
INPUTS_EVENTS_DICT = {
"S": "single",
"SS": "double",
"SSS": "triple",
"L": "long",
"SL": "single_long",
"LS": "long_single",
}
# List of battery devices that maintain a permanent WiFi connection
BATTERY_DEVICES_WITH_PERMANENT_CONNECTION = ["SHMOS-01"]
EVENT_SHELLY_CLICK = "shelly.click"
ATTR_CLICK_TYPE = "click_type"
ATTR_CHANNEL = "channel"
ATTR_DEVICE = "device"
CONF_SUBTYPE = "subtype"
BASIC_INPUTS_EVENTS_TYPES = {
"single",
"long",
}
SHBTN_INPUTS_EVENTS_TYPES = {
"single",
"double",
"triple",
"long",
}
SUPPORTED_INPUTS_EVENTS_TYPES = SHIX3_1_INPUTS_EVENTS_TYPES = {
"single",
"double",
"triple",
"long",
"single_long",
"long_single",
}
INPUTS_EVENTS_SUBTYPES = {
"button": 1,
"button1": 1,
"button2": 2,
"button3": 3,
}
SHBTN_MODELS = ["SHBTN-1", "SHBTN-2"]
# Kelvin value for colorTemp
KELVIN_MAX_VALUE = 6500
KELVIN_MIN_VALUE_WHITE = 2700
KELVIN_MIN_VALUE_COLOR = 3000
UPTIME_DEVIATION = 5
|
"""Constants for the Shelly integration."""
coap = 'coap'
data_config_entry = 'config_entry'
device = 'device'
domain = 'shelly'
rest = 'rest'
conf_coap_port = 'coap_port'
default_coap_port = 5683
polling_timeout_sec = 18
rest_sensors_update_interval = 60
aioshelly_device_timeout_sec = 10
sleep_period_multiplier = 1.2
update_period_multiplier = 2.2
shair_max_work_hours = 9000
inputs_events_dict = {'S': 'single', 'SS': 'double', 'SSS': 'triple', 'L': 'long', 'SL': 'single_long', 'LS': 'long_single'}
battery_devices_with_permanent_connection = ['SHMOS-01']
event_shelly_click = 'shelly.click'
attr_click_type = 'click_type'
attr_channel = 'channel'
attr_device = 'device'
conf_subtype = 'subtype'
basic_inputs_events_types = {'single', 'long'}
shbtn_inputs_events_types = {'single', 'double', 'triple', 'long'}
supported_inputs_events_types = shix3_1_inputs_events_types = {'single', 'double', 'triple', 'long', 'single_long', 'long_single'}
inputs_events_subtypes = {'button': 1, 'button1': 1, 'button2': 2, 'button3': 3}
shbtn_models = ['SHBTN-1', 'SHBTN-2']
kelvin_max_value = 6500
kelvin_min_value_white = 2700
kelvin_min_value_color = 3000
uptime_deviation = 5
|
"""Hass.io const variables."""
ATTR_DISCOVERY = 'discovery'
ATTR_ADDON = 'addon'
ATTR_NAME = 'name'
ATTR_SERVICE = 'service'
ATTR_CONFIG = 'config'
ATTR_UUID = 'uuid'
ATTR_USERNAME = 'username'
ATTR_PASSWORD = 'password'
X_HASSIO = 'X-HASSIO-KEY'
X_HASS_USER_ID = 'X-HASS-USER-ID'
X_HASS_IS_ADMIN = 'X-HASS-IS-ADMIN'
|
"""Hass.io const variables."""
attr_discovery = 'discovery'
attr_addon = 'addon'
attr_name = 'name'
attr_service = 'service'
attr_config = 'config'
attr_uuid = 'uuid'
attr_username = 'username'
attr_password = 'password'
x_hassio = 'X-HASSIO-KEY'
x_hass_user_id = 'X-HASS-USER-ID'
x_hass_is_admin = 'X-HASS-IS-ADMIN'
|
#!/usr/bin/env python3
# coding=utf-8
# author: @netmanchris
# -*- coding: utf-8 -*-
"""
This module contains functions for authenticating to the Attelani Brid Air Purifier Device
API.
"""
class BridAuth:
"""
Object to hold the authentication data for the Brid API
Note currently, the Brid API requires no authentication. Auth object is created
to allow for caching of IP address of Brid Device and for future enhancements.
:return An object of class AwairAuth to be passed into other functions to
pass the authentication credentials
"""
def __init__(self, ipaddress):
"""
This class acts as the auth object for the Awair API. The token is available from the
Awair developer website.
:param token: str object which contains the
"""
self.ipaddress = ipaddress
self.headers = {
'Accept': 'application/json', 'Content-Type':
'application/json', 'Accept-encoding': 'application/json'}
|
"""
This module contains functions for authenticating to the Attelani Brid Air Purifier Device
API.
"""
class Bridauth:
"""
Object to hold the authentication data for the Brid API
Note currently, the Brid API requires no authentication. Auth object is created
to allow for caching of IP address of Brid Device and for future enhancements.
:return An object of class AwairAuth to be passed into other functions to
pass the authentication credentials
"""
def __init__(self, ipaddress):
"""
This class acts as the auth object for the Awair API. The token is available from the
Awair developer website.
:param token: str object which contains the
"""
self.ipaddress = ipaddress
self.headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'Accept-encoding': 'application/json'}
|
class Defaults(object):
window_size = 7
hidden_sizes = [300]
hidden_activation = 'relu'
max_vocab_size = 1000000
optimizer = 'sgd' # 'adam'
learning_rate = 0.1 # 1e-4
epochs = 20
iobes = True # Map tags to IOBES on input
max_tokens = None # Max dataset size in tokens
encoding = 'utf-8' # Data encoding
output_drop_prob = 0.0 # Dropout probablility prior to output
token_level_eval = False # Force token-level evaluation
verbosity = 1 # 0=quiet, 1=progress bar, 2=one line per epoch
fixed_wordvecs = False # Don't fine-tune word vectors
word_features = True
batch_size = 50
viterbi = True
# Learning rate multiplier for embeddings. This is a tweak to
# implement faster learning for embeddings compared to other
# layers. As the feature is not yet implemented in Keras master
# (see https://github.com/fchollet/keras/pull/1991), this option
# currently requires the fork https://github.com/spyysalo/keras .
embedding_lr_multiplier = 1.0
|
class Defaults(object):
window_size = 7
hidden_sizes = [300]
hidden_activation = 'relu'
max_vocab_size = 1000000
optimizer = 'sgd'
learning_rate = 0.1
epochs = 20
iobes = True
max_tokens = None
encoding = 'utf-8'
output_drop_prob = 0.0
token_level_eval = False
verbosity = 1
fixed_wordvecs = False
word_features = True
batch_size = 50
viterbi = True
embedding_lr_multiplier = 1.0
|
ATOM_COLORS = {
"C": "#c8c8c8",
"H": "#ffffff",
"N": "#8f8fff",
"S": "#ffc832",
"O": "#f00000",
"F": "#ffff00",
"P": "#ffa500",
"K": "#42f4ee",
"G": "#3f3f3f",
}
CHAIN_COLORS = {
"A": "#320000",
"B": "#8a2be2",
"C": "#ff4500",
"D": "#00bfff",
"E": "#ff00ff",
"F": "#ffff00",
"G": "#4682b4",
"H": "#ffb6c1",
"I": "#a52aaa",
"J": "#ee82ee",
"K": "#75FF33",
"L": "#FFBD33",
"M": "#400040",
"N": "#004000",
"O": "#008080",
"P": "#008080",
"R": "#9c6677",
"S": "#b7c5c8",
}
RESIDUE_COLORS = {
"ALA": "#C8C8C8",
"ARG": "#145AFF",
"ASN": "#00DCDC",
"ASP": "#E60A0A",
"CYS": "#E6E600",
"GLN": "#00DCDC",
"GLU": "#E60A0A",
"GLY": "#EBEBEB",
"HIS": "#8282D2",
"ILE": "#0F820F",
"LEU": "#0F820F",
"LYS": "#145AFF",
"MET": "#E6E600",
"PHE": "#3232AA",
"PRO": "#DC9682",
"SER": "#FA9600",
"THR": "#FA9600",
"TRP": "#B45AB4",
"TYR": "#3232AA",
"VAL": "#0F820F",
"ASX": "#FF69B4",
"GLX": "#FF69B4",
"A": "#A0A0FF",
"DA": "#A0A0FF",
"G": "#FF7070",
"DG": "#FF7070",
"I": "#80FFFF",
"C": "#FF8C4B",
"DC": "#FF8C4B",
"T": "#A0FFA0",
"DT": "#A0FFA0",
"U": "#FF8080",
}
RESIDUE_TYPE_COLORS = {
"hydrophobic": "#00ff80",
"polar": "#ff00bf",
"acidic": "#ff4000",
"basic": "#0040ff",
"aromatic": "#ffff00",
"purine": "#A00042",
"pyrimidine": "#4F4600",
}
AMINO_ACID_CLASSES = {
"hydrophobic": ["GLY", "ALA", "LEU", "ILE", "VAL", "MET", "PRO"],
"polar": ["ASN", "GLN", "SER", "THR", "CYS"],
"acidic": ["ASP", "GLU"],
"basic": ["LYS", "ARG", "HIS"],
"aromatic": ["TRP", "TYR", "PHE"],
"purine": ["A", "G", "DA", "DG"],
"pyrimidine": ["DT", "DC", "U", "I", "C"],
}
def create_mol3d_style(
atoms, visualization_type="stick", color_element="atom", color_scheme=None
):
"""Function to create styles input for Molecule3dViewer
@param atoms
A list of atoms. Each atom should be a dict with keys: 'name', 'residue_name', 'chain'
@param visualization_type
A type of molecule visualization graphic: 'stick' | 'cartoon' | 'sphere'.
@param color_element
Elements to apply color scheme to: 'atom' | 'residue' | 'residue_type' | 'chain'.
@param color_scheme
Color scheme used to style moleule elements.
This should be a dict with keys being names of atoms, residues, residue types or chains,
depending on the value of color_element argument. If no value is provided, default color schemes will be used.
"""
if not visualization_type in ['stick', 'cartoon', 'sphere']:
raise Exception("Invalid argument type: visualization_type. Should be: 'stick' | 'cartoon' | 'sphere'.")
if not color_element in ['atom', 'residue', 'residue_type', 'chain']:
raise Exception("Invalid argument type: color_element. Should be: 'atom' | 'residue' | 'residue_type' | 'chain'.")
if not isinstance(atoms, list):
raise Exception("Invalid argument type: atoms. Should be a list of dict.")
if color_scheme and not isinstance(color_scheme, dict):
raise Exception("Invalid argument type: color_scheme. Should be a dict.")
default_color = '#ABABAB'
if color_scheme is None:
color_scheme = {
'atom': ATOM_COLORS,
'residue': RESIDUE_COLORS,
'residue_type': RESIDUE_TYPE_COLORS,
'chain': CHAIN_COLORS
}[color_element]
if color_element == 'residue_type':
residue_type_colors_map = {}
for aa_class_name, aa_class_members in AMINO_ACID_CLASSES.items():
for aa in aa_class_members:
residue_type_colors_map[aa] = color_scheme.get(aa_class_name, default_color)
color_scheme = residue_type_colors_map
atom_styles = []
for a in atoms:
if color_element == 'atom':
atom_color = color_scheme.get(a['name'], default_color)
if color_element in ['residue', 'residue_type']:
atom_color = color_scheme.get(a['residue_name'], default_color)
if color_element == 'chain':
atom_color = color_scheme.get(a['chain'], default_color)
atom_styles.append({
'visualization_type': visualization_type,
'color': atom_color
})
return atom_styles
|
atom_colors = {'C': '#c8c8c8', 'H': '#ffffff', 'N': '#8f8fff', 'S': '#ffc832', 'O': '#f00000', 'F': '#ffff00', 'P': '#ffa500', 'K': '#42f4ee', 'G': '#3f3f3f'}
chain_colors = {'A': '#320000', 'B': '#8a2be2', 'C': '#ff4500', 'D': '#00bfff', 'E': '#ff00ff', 'F': '#ffff00', 'G': '#4682b4', 'H': '#ffb6c1', 'I': '#a52aaa', 'J': '#ee82ee', 'K': '#75FF33', 'L': '#FFBD33', 'M': '#400040', 'N': '#004000', 'O': '#008080', 'P': '#008080', 'R': '#9c6677', 'S': '#b7c5c8'}
residue_colors = {'ALA': '#C8C8C8', 'ARG': '#145AFF', 'ASN': '#00DCDC', 'ASP': '#E60A0A', 'CYS': '#E6E600', 'GLN': '#00DCDC', 'GLU': '#E60A0A', 'GLY': '#EBEBEB', 'HIS': '#8282D2', 'ILE': '#0F820F', 'LEU': '#0F820F', 'LYS': '#145AFF', 'MET': '#E6E600', 'PHE': '#3232AA', 'PRO': '#DC9682', 'SER': '#FA9600', 'THR': '#FA9600', 'TRP': '#B45AB4', 'TYR': '#3232AA', 'VAL': '#0F820F', 'ASX': '#FF69B4', 'GLX': '#FF69B4', 'A': '#A0A0FF', 'DA': '#A0A0FF', 'G': '#FF7070', 'DG': '#FF7070', 'I': '#80FFFF', 'C': '#FF8C4B', 'DC': '#FF8C4B', 'T': '#A0FFA0', 'DT': '#A0FFA0', 'U': '#FF8080'}
residue_type_colors = {'hydrophobic': '#00ff80', 'polar': '#ff00bf', 'acidic': '#ff4000', 'basic': '#0040ff', 'aromatic': '#ffff00', 'purine': '#A00042', 'pyrimidine': '#4F4600'}
amino_acid_classes = {'hydrophobic': ['GLY', 'ALA', 'LEU', 'ILE', 'VAL', 'MET', 'PRO'], 'polar': ['ASN', 'GLN', 'SER', 'THR', 'CYS'], 'acidic': ['ASP', 'GLU'], 'basic': ['LYS', 'ARG', 'HIS'], 'aromatic': ['TRP', 'TYR', 'PHE'], 'purine': ['A', 'G', 'DA', 'DG'], 'pyrimidine': ['DT', 'DC', 'U', 'I', 'C']}
def create_mol3d_style(atoms, visualization_type='stick', color_element='atom', color_scheme=None):
"""Function to create styles input for Molecule3dViewer
@param atoms
A list of atoms. Each atom should be a dict with keys: 'name', 'residue_name', 'chain'
@param visualization_type
A type of molecule visualization graphic: 'stick' | 'cartoon' | 'sphere'.
@param color_element
Elements to apply color scheme to: 'atom' | 'residue' | 'residue_type' | 'chain'.
@param color_scheme
Color scheme used to style moleule elements.
This should be a dict with keys being names of atoms, residues, residue types or chains,
depending on the value of color_element argument. If no value is provided, default color schemes will be used.
"""
if not visualization_type in ['stick', 'cartoon', 'sphere']:
raise exception("Invalid argument type: visualization_type. Should be: 'stick' | 'cartoon' | 'sphere'.")
if not color_element in ['atom', 'residue', 'residue_type', 'chain']:
raise exception("Invalid argument type: color_element. Should be: 'atom' | 'residue' | 'residue_type' | 'chain'.")
if not isinstance(atoms, list):
raise exception('Invalid argument type: atoms. Should be a list of dict.')
if color_scheme and (not isinstance(color_scheme, dict)):
raise exception('Invalid argument type: color_scheme. Should be a dict.')
default_color = '#ABABAB'
if color_scheme is None:
color_scheme = {'atom': ATOM_COLORS, 'residue': RESIDUE_COLORS, 'residue_type': RESIDUE_TYPE_COLORS, 'chain': CHAIN_COLORS}[color_element]
if color_element == 'residue_type':
residue_type_colors_map = {}
for (aa_class_name, aa_class_members) in AMINO_ACID_CLASSES.items():
for aa in aa_class_members:
residue_type_colors_map[aa] = color_scheme.get(aa_class_name, default_color)
color_scheme = residue_type_colors_map
atom_styles = []
for a in atoms:
if color_element == 'atom':
atom_color = color_scheme.get(a['name'], default_color)
if color_element in ['residue', 'residue_type']:
atom_color = color_scheme.get(a['residue_name'], default_color)
if color_element == 'chain':
atom_color = color_scheme.get(a['chain'], default_color)
atom_styles.append({'visualization_type': visualization_type, 'color': atom_color})
return atom_styles
|
"""Ubuntu Laptop Monitoring - Django project to display laptop hardware status.
.. moduleauthor:: Alexander Dupuy <[email protected]>
"""
|
"""Ubuntu Laptop Monitoring - Django project to display laptop hardware status.
.. moduleauthor:: Alexander Dupuy <[email protected]>
"""
|
class Config:
EPS = 1e-14
RPN_CLOBBER_POSITIVES = False
RPN_NEGATIVE_OVERLAP = 0.3
RPN_POSITIVE_OVERLAP = 0.7
RPN_FG_FRACTION = 0.5
RPN_BATCHSIZE = 300
RPN_BBOX_INSIDE_WEIGHTS = (1.0, 1.0, 1.0, 1.0)
RPN_POSITIVE_WEIGHT = -1.0
RPN_PRE_NMS_TOP_N = 12000
RPN_POST_NMS_TOP_N = 1000
RPN_NMS_THRESH = 0.7
RPN_MIN_SIZE = 8
# origin [11, 16, 23, 33, 48, 68, 97, 139, 198, 283]
ANCHORS_HEIGHT = [23, 33, 48, 68, 97, 139]
|
class Config:
eps = 1e-14
rpn_clobber_positives = False
rpn_negative_overlap = 0.3
rpn_positive_overlap = 0.7
rpn_fg_fraction = 0.5
rpn_batchsize = 300
rpn_bbox_inside_weights = (1.0, 1.0, 1.0, 1.0)
rpn_positive_weight = -1.0
rpn_pre_nms_top_n = 12000
rpn_post_nms_top_n = 1000
rpn_nms_thresh = 0.7
rpn_min_size = 8
anchors_height = [23, 33, 48, 68, 97, 139]
|
hps = {
"0351291110650853": {
"ott_len": 35,
"ott_percent": 129,
"ott_bw_up": 111,
"tps_qty_index": 65,
"max_risk_long": 85
},
"0561821341040643": {
"ott_len": 56,
"ott_percent": 182,
"ott_bw_up": 134,
"tps_qty_index": 104,
"max_risk_long": 64
},
"0351291110200403": {
"ott_len": 35,
"ott_percent": 129,
"ott_bw_up": 111,
"tps_qty_index": 20,
"max_risk_long": 40
},
"0572181720720673": {
"ott_len": 57,
"ott_percent": 218,
"ott_bw_up": 172,
"tps_qty_index": 72,
"max_risk_long": 67
},
"0331701430640973": {
"ott_len": 33,
"ott_percent": 170,
"ott_bw_up": 143,
"tps_qty_index": 64,
"max_risk_long": 97
},
"66787357652": {
"ott_len": 66,
"ott_percent": 78,
"ott_bw_up": 73,
"tps_qty_index": 57,
"max_risk_long": 65
},
"0701701490000913": {
"ott_len": 70,
"ott_percent": 170,
"ott_bw_up": 149,
"tps_qty_index": 0,
"max_risk_long": 91
},
"0700781390290673": {
"ott_len": 70,
"ott_percent": 78,
"ott_bw_up": 139,
"tps_qty_index": 29,
"max_risk_long": 67
},
"0601050950650813": {
"ott_len": 60,
"ott_percent": 105,
"ott_bw_up": 95,
"tps_qty_index": 65,
"max_risk_long": 81
},
"0400781490420563": {
"ott_len": 40,
"ott_percent": 78,
"ott_bw_up": 149,
"tps_qty_index": 42,
"max_risk_long": 56
},
"0572181750000913": {
"ott_len": 57,
"ott_percent": 218,
"ott_bw_up": 175,
"tps_qty_index": 0,
"max_risk_long": 91
},
"0281701690020483": {
"ott_len": 28,
"ott_percent": 170,
"ott_bw_up": 169,
"tps_qty_index": 2,
"max_risk_long": 48
},
"0631701340690723": {
"ott_len": 63,
"ott_percent": 170,
"ott_bw_up": 134,
"tps_qty_index": 69,
"max_risk_long": 72
},
"0691581140650703": {
"ott_len": 69,
"ott_percent": 158,
"ott_bw_up": 114,
"tps_qty_index": 65,
"max_risk_long": 70
},
"0450781491120653": {
"ott_len": 45,
"ott_percent": 78,
"ott_bw_up": 149,
"tps_qty_index": 112,
"max_risk_long": 65
},
"0691050980650663": {
"ott_len": 69,
"ott_percent": 105,
"ott_bw_up": 98,
"tps_qty_index": 65,
"max_risk_long": 66
},
"0391701430640973": {
"ott_len": 39,
"ott_percent": 170,
"ott_bw_up": 143,
"tps_qty_index": 64,
"max_risk_long": 97
},
"0331291110650813": {
"ott_len": 33,
"ott_percent": 129,
"ott_bw_up": 111,
"tps_qty_index": 65,
"max_risk_long": 81
},
"0351291110200453": {
"ott_len": 35,
"ott_percent": 129,
"ott_bw_up": 111,
"tps_qty_index": 20,
"max_risk_long": 45
},
"0701701380640523": {
"ott_len": 70,
"ott_percent": 170,
"ott_bw_up": 138,
"tps_qty_index": 64,
"max_risk_long": 52
},
"0450781490370653": {
"ott_len": 45,
"ott_percent": 78,
"ott_bw_up": 149,
"tps_qty_index": 37,
"max_risk_long": 65
},
"0521051340690693": {
"ott_len": 52,
"ott_percent": 105,
"ott_bw_up": 134,
"tps_qty_index": 69,
"max_risk_long": 69
},
"66788842652": {
"ott_len": 66,
"ott_percent": 78,
"ott_bw_up": 88,
"tps_qty_index": 42,
"max_risk_long": 65
},
"0640781390420673": {
"ott_len": 64,
"ott_percent": 78,
"ott_bw_up": 139,
"tps_qty_index": 42,
"max_risk_long": 67
},
"0700701120370653": {
"ott_len": 70,
"ott_percent": 70,
"ott_bw_up": 112,
"tps_qty_index": 37,
"max_risk_long": 65
},
"0682181720800673": {
"ott_len": 68,
"ott_percent": 218,
"ott_bw_up": 172,
"tps_qty_index": 80,
"max_risk_long": 67
},
"0311051471100663": {
"ott_len": 31,
"ott_percent": 105,
"ott_bw_up": 147,
"tps_qty_index": 110,
"max_risk_long": 66
},
"0701291110370653": {
"ott_len": 70,
"ott_percent": 129,
"ott_bw_up": 111,
"tps_qty_index": 37,
"max_risk_long": 65
},
"0400781360170653": {
"ott_len": 40,
"ott_percent": 78,
"ott_bw_up": 136,
"tps_qty_index": 17,
"max_risk_long": 65
},
"0682181721120663": {
"ott_len": 68,
"ott_percent": 218,
"ott_bw_up": 172,
"tps_qty_index": 112,
"max_risk_long": 66
},
"0331291490650523": {
"ott_len": 33,
"ott_percent": 129,
"ott_bw_up": 149,
"tps_qty_index": 65,
"max_risk_long": 52
},
"0334791750000813": {
"ott_len": 33,
"ott_percent": 479,
"ott_bw_up": 175,
"tps_qty_index": 0,
"max_risk_long": 81
},
"57788850852": {
"ott_len": 57,
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'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 42, 'max_risk_long': 65}, '0331291080420793': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 108, 'tps_qty_index': 42, 'max_risk_long': 79}, '0331291470690523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 69, 'max_risk_long': 52}, '0331291490110653': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 11, 'max_risk_long': 65}, '0701701380570653': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 57, 'max_risk_long': 65}, '0331561340640863': {'ott_len': 33, 'ott_percent': 156, 'ott_bw_up': 134, 'tps_qty_index': 64, 'max_risk_long': 86}, '0330781490650503': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 149, 'tps_qty_index': 65, 'max_risk_long': 50}, '0311030880400553': {'ott_len': 31, 'ott_percent': 103, 'ott_bw_up': 88, 'tps_qty_index': 40, 'max_risk_long': 55}, '0330781470690493': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 147, 'tps_qty_index': 69, 'max_risk_long': 49}, '0321031490980913': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 98, 'max_risk_long': 91}, '0321031491100523': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 52}, '0331701490590653': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 59, 'max_risk_long': 65}, '0331291490770553': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 55}, '0291291160930583': {'ott_len': 29, 'ott_percent': 129, 'ott_bw_up': 116, 'tps_qty_index': 93, 'max_risk_long': 58}, '0341291471100663': {'ott_len': 34, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 66}, '0701701380370653': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 37, 'max_risk_long': 65}, '0331291491100613': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 61}, '33788842652': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 42, 'max_risk_long': 65}, '0331291490410673': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 41, 'max_risk_long': 67}, '0331291490590653': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 59, 'max_risk_long': 65}, '70788872532': {'ott_len': 70, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 72, 'max_risk_long': 53}, '0701701380840653': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 84, 'max_risk_long': 65}, '39788977342': {'ott_len': 39, 'ott_percent': 78, 'ott_bw_up': 89, 'tps_qty_index': 77, 'max_risk_long': 34}, '68788856442': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 56, 'max_risk_long': 44}, '0331271710570653': {'ott_len': 33, 'ott_percent': 127, 'ott_bw_up': 171, 'tps_qty_index': 57, 'max_risk_long': 65}, '68788872652': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 72, 'max_risk_long': 65}, '0331531490660793': {'ott_len': 33, 'ott_percent': 153, 'ott_bw_up': 149, 'tps_qty_index': 66, 'max_risk_long': 79}, '0331291470650453': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 65, 'max_risk_long': 45}, '0330781471040523': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 147, 'tps_qty_index': 104, 'max_risk_long': 52}, '0701291161100653': {'ott_len': 70, 'ott_percent': 129, 'ott_bw_up': 116, 'tps_qty_index': 110, 'max_risk_long': 65}, '0310781471100523': {'ott_len': 31, 'ott_percent': 78, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 52}, '33788841792': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 41, 'max_risk_long': 79}, '0321291160930523': {'ott_len': 32, 'ott_percent': 129, 'ott_bw_up': 116, 'tps_qty_index': 93, 'max_risk_long': 52}, '0331291490110503': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 11, 'max_risk_long': 50}, '0331291071100613': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 107, 'tps_qty_index': 110, 'max_risk_long': 61}, '0701701381100523': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 110, 'max_risk_long': 52}, '0680781090180743': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 109, 'tps_qty_index': 18, 'max_risk_long': 74}, '0651291490650523': {'ott_len': 65, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 65, 'max_risk_long': 52}, '0331701491100883': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 88}, '0330781490640663': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 149, 'tps_qty_index': 64, 'max_risk_long': 66}, '0701701380840573': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 84, 'max_risk_long': 57}, '0331291471100663': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 66}, '68788818982': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 18, 'max_risk_long': 98}, '0331291710770653': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 171, 'tps_qty_index': 77, 'max_risk_long': 65}, '0331701710110653': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 171, 'tps_qty_index': 11, 'max_risk_long': 65}, '0310941471100553': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 55}, '0321031470770553': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 77, 'max_risk_long': 55}, '0321031491060503': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 106, 'max_risk_long': 50}, '0680780881100493': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 110, 'max_risk_long': 49}, '0331291491100793': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 79}, '0331031471060643': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 106, 'max_risk_long': 64}, '0331291330650943': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 133, 'tps_qty_index': 65, 'max_risk_long': 94}, '0560781380350573': {'ott_len': 56, 'ott_percent': 78, 'ott_bw_up': 138, 'tps_qty_index': 35, 'max_risk_long': 57}, '0331291710590523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 171, 'tps_qty_index': 59, 'max_risk_long': 52}, '0331291471100523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 52}, '0320781161100523': {'ott_len': 32, 'ott_percent': 78, 'ott_bw_up': 116, 'tps_qty_index': 110, 'max_risk_long': 52}, '0701701380320523': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 32, 'max_risk_long': 52}, '0331031491100523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 52}, '0331701710640633': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 171, 'tps_qty_index': 64, 'max_risk_long': 63}, '0331501550690523': {'ott_len': 33, 'ott_percent': 150, 'ott_bw_up': 155, 'tps_qty_index': 69, 'max_risk_long': 52}, '0331291380840503': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 138, 'tps_qty_index': 84, 'max_risk_long': 50}, '0701291380570763': {'ott_len': 70, 'ott_percent': 129, 'ott_bw_up': 138, 'tps_qty_index': 57, 'max_risk_long': 76}, '0331291490570523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 57, 'max_risk_long': 52}, '0331291491160523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 116, 'max_risk_long': 52}, '68788825492': {'ott_len': 68, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 25, 'max_risk_long': 49}, '0330781340640553': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 134, 'tps_qty_index': 64, 'max_risk_long': 55}, '0331291710770463': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 171, 'tps_qty_index': 77, 'max_risk_long': 46}, '0341291490840663': {'ott_len': 34, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 84, 'max_risk_long': 66}, '0331291490650663': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 65, 'max_risk_long': 66}, '0321291710980523': {'ott_len': 32, 'ott_percent': 129, 'ott_bw_up': 171, 'tps_qty_index': 98, 'max_risk_long': 52}, '0451291490590523': {'ott_len': 45, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 59, 'max_risk_long': 52}, '0331291490840523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 84, 'max_risk_long': 52}, '0331031490590653': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 59, 'max_risk_long': 65}, '0301471471100553': {'ott_len': 30, 'ott_percent': 147, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 55}, '0330941470920553': {'ott_len': 33, 'ott_percent': 94, 'ott_bw_up': 147, 'tps_qty_index': 92, 'max_risk_long': 55}, '0311031390420563': {'ott_len': 31, 'ott_percent': 103, 'ott_bw_up': 139, 'tps_qty_index': 42, 'max_risk_long': 56}, '0340861470860523': {'ott_len': 34, 'ott_percent': 86, 'ott_bw_up': 147, 'tps_qty_index': 86, 'max_risk_long': 52}, '0451291490770553': {'ott_len': 45, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 55}, '0331291490590913': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 59, 'max_risk_long': 91}, '0331291471040773': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 104, 'max_risk_long': 77}, '0331031160930523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 116, 'tps_qty_index': 93, 'max_risk_long': 52}, '0321031491100503': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 50}, '70788869522': {'ott_len': 70, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 69, 'max_risk_long': 52}, '0331701560110653': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 156, 'tps_qty_index': 11, 'max_risk_long': 65}, '0320781481040913': {'ott_len': 32, 'ott_percent': 78, 'ott_bw_up': 148, 'tps_qty_index': 104, 'max_risk_long': 91}, '0330781471100523': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 52}, '0331291491100523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 110, 'max_risk_long': 52}, '0310940951100553': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 95, 'tps_qty_index': 110, 'max_risk_long': 55}, '0331291490770523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 52}, '0331031470990523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 99, 'max_risk_long': 52}, '0331291490750553': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 75, 'max_risk_long': 55}, '0310941491060553': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 149, 'tps_qty_index': 106, 'max_risk_long': 55}, '0331031250590653': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 125, 'tps_qty_index': 59, 'max_risk_long': 65}, '0321031491060523': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 106, 'max_risk_long': 52}, '0321031471100913': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 91}, '0331291390590523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 139, 'tps_qty_index': 59, 'max_risk_long': 52}, '0331031490990523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 99, 'max_risk_long': 52}, '0331701490570523': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 57, 'max_risk_long': 52}, '0331030930990523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 93, 'tps_qty_index': 99, 'max_risk_long': 52}, '0331291490920553': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 92, 'max_risk_long': 55}, '0330781490840673': {'ott_len': 33, 'ott_percent': 78, 'ott_bw_up': 149, 'tps_qty_index': 84, 'max_risk_long': 67}, '70788893512': {'ott_len': 70, 'ott_percent': 78, 'ott_bw_up': 88, 'tps_qty_index': 93, 'max_risk_long': 51}, '0331291490750463': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 75, 'max_risk_long': 46}, '0331031471030523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 103, 'max_risk_long': 52}, '0331701490770653': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 65}, '0331291490320523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 32, 'max_risk_long': 52}, '0331031470860523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 86, 'max_risk_long': 52}, '0331031470500493': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 50, 'max_risk_long': 49}, '0331481490610653': {'ott_len': 33, 'ott_percent': 148, 'ott_bw_up': 149, 'tps_qty_index': 61, 'max_risk_long': 65}, '0331031471040493': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 104, 'max_risk_long': 49}, '0331701440590523': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 144, 'tps_qty_index': 59, 'max_risk_long': 52}, '0611291380590583': {'ott_len': 61, 'ott_percent': 129, 'ott_bw_up': 138, 'tps_qty_index': 59, 'max_risk_long': 58}, '0701030980120503': {'ott_len': 70, 'ott_percent': 103, 'ott_bw_up': 98, 'tps_qty_index': 12, 'max_risk_long': 50}, '0331291490930653': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 93, 'max_risk_long': 65}, '0320781481100493': {'ott_len': 32, 'ott_percent': 78, 'ott_bw_up': 148, 'tps_qty_index': 110, 'max_risk_long': 49}, '0321701310840573': {'ott_len': 32, 'ott_percent': 170, 'ott_bw_up': 131, 'tps_qty_index': 84, 'max_risk_long': 57}, '0331701380590653': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 59, 'max_risk_long': 65}, '0310941380570523': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 138, 'tps_qty_index': 57, 'max_risk_long': 52}, '0331701490110553': {'ott_len': 33, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 11, 'max_risk_long': 55}, '0331291121060523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 112, 'tps_qty_index': 106, 'max_risk_long': 52}, '0331031471100523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 52}, '0701701380670503': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 67, 'max_risk_long': 50}, '0701701381100913': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 138, 'tps_qty_index': 110, 'max_risk_long': 91}, '0331031180590453': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 118, 'tps_qty_index': 59, 'max_risk_long': 45}, '0331291470920553': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 147, 'tps_qty_index': 92, 'max_risk_long': 55}, '0331031490680493': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 68, 'max_risk_long': 49}, '0310941471120553': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 147, 'tps_qty_index': 112, 'max_risk_long': 55}, '0331291490770663': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 66}, '0361701470570523': {'ott_len': 36, 'ott_percent': 170, 'ott_bw_up': 147, 'tps_qty_index': 57, 'max_risk_long': 52}, '0310781291100523': {'ott_len': 31, 'ott_percent': 78, 'ott_bw_up': 129, 'tps_qty_index': 110, 'max_risk_long': 52}, '0310941471100523': {'ott_len': 31, 'ott_percent': 94, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 52}, '0331031470510523': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 51, 'max_risk_long': 52}, '0701701490770553': {'ott_len': 70, 'ott_percent': 170, 'ott_bw_up': 149, 'tps_qty_index': 77, 'max_risk_long': 55}, '0331031471100553': {'ott_len': 33, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 55}, '0331291180570523': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 118, 'tps_qty_index': 57, 'max_risk_long': 52}, '0311031490750553': {'ott_len': 31, 'ott_percent': 103, 'ott_bw_up': 149, 'tps_qty_index': 75, 'max_risk_long': 55}, '0321031471100553': {'ott_len': 32, 'ott_percent': 103, 'ott_bw_up': 147, 'tps_qty_index': 110, 'max_risk_long': 55}, '0331291110130453': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 111, 'tps_qty_index': 13, 'max_risk_long': 45}, '0331291481100553': {'ott_len': 33, 'ott_percent': 129, 'ott_bw_up': 148, 'tps_qty_index': 110, 'max_risk_long': 55}, '0321291490930913': {'ott_len': 32, 'ott_percent': 129, 'ott_bw_up': 149, 'tps_qty_index': 93, 'max_risk_long': 91}}
|
"""
A variety of examples to showcase useage of pix.
Note that some libraries or other thirdparty resources may be required to run
an example.
"""
|
"""
A variety of examples to showcase useage of pix.
Note that some libraries or other thirdparty resources may be required to run
an example.
"""
|
class Configuration(object):
def __init__(self, **kwargs):
for key, value in kwargs.items():
if isinstance(value, dict):
value = Configuration(**value)
setattr(self, key, value)
def to_dict(self):
rv = {}
for key, value in self.__dict__.items():
if isinstance(value, Configuration):
value = value.to_dict()
rv[key] = value
return rv
def __str__(self):
return str(self.to_dict())
def __repr__(self):
return f"<{self.__class__.__name__} '{str(self)}'>"
|
class Configuration(object):
def __init__(self, **kwargs):
for (key, value) in kwargs.items():
if isinstance(value, dict):
value = configuration(**value)
setattr(self, key, value)
def to_dict(self):
rv = {}
for (key, value) in self.__dict__.items():
if isinstance(value, Configuration):
value = value.to_dict()
rv[key] = value
return rv
def __str__(self):
return str(self.to_dict())
def __repr__(self):
return f"<{self.__class__.__name__} '{str(self)}'>"
|
product = input()
day = input()
quantity = float(input())
price = 0
isError = False
if day == 'Saturday' or day == 'Sunday':
if product == 'banana':
price = 2.7
elif product == 'apple':
price = 1.25
elif product == 'orange':
price = 0.9
elif product == 'grapefruit':
price = 1.60
elif product == 'kiwi':
price = 3
elif product == 'pineapple':
price = 5.6
elif product == 'grapes':
price = 4.2
else:
print('error')
isError = True
elif day == 'Monday' or day == 'Tuesday' or day == 'Wednesday' or day == 'Thursday' or day == 'Friday':
if product == 'banana':
price = 2.5
elif product == 'apple':
price = 1.2
elif product == 'orange':
price = 0.85
elif product == 'grapefruit':
price = 1.45
elif product == 'kiwi':
price = 2.7
elif product == 'pineapple':
price = 5.5
elif product == 'grapes':
price = 3.85
else:
print('error')
isError = True
else:
print('error')
isError = True
if isError == False:
print(f"{(price * quantity):.2f}")
|
product = input()
day = input()
quantity = float(input())
price = 0
is_error = False
if day == 'Saturday' or day == 'Sunday':
if product == 'banana':
price = 2.7
elif product == 'apple':
price = 1.25
elif product == 'orange':
price = 0.9
elif product == 'grapefruit':
price = 1.6
elif product == 'kiwi':
price = 3
elif product == 'pineapple':
price = 5.6
elif product == 'grapes':
price = 4.2
else:
print('error')
is_error = True
elif day == 'Monday' or day == 'Tuesday' or day == 'Wednesday' or (day == 'Thursday') or (day == 'Friday'):
if product == 'banana':
price = 2.5
elif product == 'apple':
price = 1.2
elif product == 'orange':
price = 0.85
elif product == 'grapefruit':
price = 1.45
elif product == 'kiwi':
price = 2.7
elif product == 'pineapple':
price = 5.5
elif product == 'grapes':
price = 3.85
else:
print('error')
is_error = True
else:
print('error')
is_error = True
if isError == False:
print(f'{price * quantity:.2f}')
|
# -*- coding: utf-8 -*-
class Precipitation(object):
def __init__(self, precipitation):
self.value = float(precipitation['value'])
try:
self.minValue = float(precipitation['minvalue'])
except KeyError:
self.minValue = None
try:
self.maxValue = float(precipitation['maxvalue'])
except KeyError:
self.maxValue = None
def __str__(self):
return '\t\t\t\tValue: {0} \n\t\t\t\tMinValue: {1} \n\t\t\t\tMaxValue: {2}'.format(self.value, self.minValue, self.maxValue)
|
class Precipitation(object):
def __init__(self, precipitation):
self.value = float(precipitation['value'])
try:
self.minValue = float(precipitation['minvalue'])
except KeyError:
self.minValue = None
try:
self.maxValue = float(precipitation['maxvalue'])
except KeyError:
self.maxValue = None
def __str__(self):
return '\t\t\t\tValue: {0} \n\t\t\t\tMinValue: {1} \n\t\t\t\tMaxValue: {2}'.format(self.value, self.minValue, self.maxValue)
|
def run():
r.setpos(0,0,0)
|
def run():
r.setpos(0, 0, 0)
|
class Command:
TO_CN = 1
TO_EN = 2
JSON_FORMAT = 3
URL_ENCODE = 4
URL_DECODE = 5
|
class Command:
to_cn = 1
to_en = 2
json_format = 3
url_encode = 4
url_decode = 5
|
# checking for armstrong number
a = input("Enter a number")
n = int(a)
S = 0
while n > 0:
d = n % 10
S = S + d * d * d
n = n / 10
if int(a) == S:
print("Armstrong Number")
else:
print("Not an Armstrong Number")
|
a = input('Enter a number')
n = int(a)
s = 0
while n > 0:
d = n % 10
s = S + d * d * d
n = n / 10
if int(a) == S:
print('Armstrong Number')
else:
print('Not an Armstrong Number')
|
class BuildEnvironmentError(Exception):
def __init__(self, msg, build_env):
self.msg = msg
self.build_env = build_env
def __str__(self):
return "{}({})".format(self.__class__.__name__, repr(self.msg))
class VariantDBConnectionError(BuildEnvironmentError):
def __init__(self, connection, build_env):
self.connection = connection
self.msg = "Could not connect to database \"{}\"".format(connection)
self.build_env = build_env
|
class Buildenvironmenterror(Exception):
def __init__(self, msg, build_env):
self.msg = msg
self.build_env = build_env
def __str__(self):
return '{}({})'.format(self.__class__.__name__, repr(self.msg))
class Variantdbconnectionerror(BuildEnvironmentError):
def __init__(self, connection, build_env):
self.connection = connection
self.msg = 'Could not connect to database "{}"'.format(connection)
self.build_env = build_env
|
"""
Definition of ListNode
class ListNode(object):
def __init__(self, val, next=None):
self.val = val
self.next = next
"""
class Solution:
"""
@param l1: the first list
@param l2: the second list
@return: the sum list of l1 and l2
"""
def addLists(self, l1, l2):
dummy = tail = ListNode(0)
carry = 0
while l1 is not None or l2 is not None or carry == 1:
tail.next = ListNode(carry)
tail = tail.next
if l1 is not None:
tail.val += l1.val
l1 = l1.next
if l2 is not None:
tail.val += l2.val
l2 = l2.next
if tail.val > 9:
tail.val -= 10
carry = 1
else:
carry = 0
return dummy.next
|
"""
Definition of ListNode
class ListNode(object):
def __init__(self, val, next=None):
self.val = val
self.next = next
"""
class Solution:
"""
@param l1: the first list
@param l2: the second list
@return: the sum list of l1 and l2
"""
def add_lists(self, l1, l2):
dummy = tail = list_node(0)
carry = 0
while l1 is not None or l2 is not None or carry == 1:
tail.next = list_node(carry)
tail = tail.next
if l1 is not None:
tail.val += l1.val
l1 = l1.next
if l2 is not None:
tail.val += l2.val
l2 = l2.next
if tail.val > 9:
tail.val -= 10
carry = 1
else:
carry = 0
return dummy.next
|
#Advanced string syntax
#Multiple ways to type strings
print('Hello')
print("That is Alice's cat")
#To use a single quote throughout your code
#put in a / before the quotation
print('Here is the example (\')')
print('Do you see how the quotation \' is shown?')
#Example of types of "Escape Characters"
# \' = Single Quote
# \" = Double Quote
# \t = Tab
# \n = New Line (Line break)
# \\ = Backslash
print('Hello there! \nHow are you? \n I\'m fine.')
# Multi line strings start with """. The """ enables the user to code without using the escape characters
print("""This is an example of use of the multi string.
Dear Alice,
Eve's cat has been arrested for catnapping, cat burglary, and extortion.
Sincerely,
Drew.""")
#Now we will attache this to a variable spam
spam = print("""This is an example of use of the multi string.
Dear Alice,
Eve's cat has been arrested for catnapping, cat burglary, and extortion.
Sincerely,
Drew.""")
spam
|
print('Hello')
print("That is Alice's cat")
print("Here is the example (')")
print("Do you see how the quotation ' is shown?")
print("Hello there! \nHow are you? \n I'm fine.")
print("This is an example of use of the multi string.\n\nDear Alice,\nEve's cat has been arrested for catnapping, cat burglary, and extortion.\nSincerely,\nDrew.")
spam = print("This is an example of use of the multi string.\n\nDear Alice,\nEve's cat has been arrested for catnapping, cat burglary, and extortion.\nSincerely,\nDrew.")
spam
|
class Queue:
def __init__(self):
self.queue = list()
def enqueue(self,data):
if data not in self.queue:
self.queue.insert(0,data)
return True
return False
def dequeue(self):
if len(self.queue)>0:
return self.queue.pop()
return ("Queue Empty!")
def size(self):
return len(self.queue)
def printQueue(self):
return self.queue
myQueue = Queue()
print(myQueue.enqueue(5))
print(myQueue.enqueue(6))
print(myQueue.enqueue(9))
print(myQueue.enqueue(5))
print(myQueue.enqueue(3))
print(myQueue.size())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.size())
print(myQueue.dequeue())
|
class Queue:
def __init__(self):
self.queue = list()
def enqueue(self, data):
if data not in self.queue:
self.queue.insert(0, data)
return True
return False
def dequeue(self):
if len(self.queue) > 0:
return self.queue.pop()
return 'Queue Empty!'
def size(self):
return len(self.queue)
def print_queue(self):
return self.queue
my_queue = queue()
print(myQueue.enqueue(5))
print(myQueue.enqueue(6))
print(myQueue.enqueue(9))
print(myQueue.enqueue(5))
print(myQueue.enqueue(3))
print(myQueue.size())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.dequeue())
print(myQueue.size())
print(myQueue.dequeue())
|
class Solution(object):
def findDuplicate(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
n = len(nums) - 1
start, end = 1, n
while start + 1 < end:
mid = start + (end - start) / 2
count = 0
for num in nums:
if num < mid:
count += 1
if count >= mid:
end = mid
else:
start = mid
if nums.count(start) > nums.count(end):
return start
return end
|
class Solution(object):
def find_duplicate(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
n = len(nums) - 1
(start, end) = (1, n)
while start + 1 < end:
mid = start + (end - start) / 2
count = 0
for num in nums:
if num < mid:
count += 1
if count >= mid:
end = mid
else:
start = mid
if nums.count(start) > nums.count(end):
return start
return end
|
class TerminalSet:
NODE_TYPE = 'terminal'
@classmethod
def is_terminal_value(cls, node):
return node['node_type'] == cls.NODE_TYPE and node.has_key('value') and (node['type'] in ['int', 'float'])
@classmethod
def terminal_value(cls, value):
return {'node_type': cls.NODE_TYPE, 'name': str(value), 'value': value, 'type': type(value).__name__}
def __init__(self):
self.terminal_set = []
def add_terminal_value(self, name, value):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'name': name, 'value': value, 'type': type(value).__name__})
def add_terminal_function(self, name, func_ref, value_type, args=[]):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'name': name, 'function': func_ref, 'type': value_type, 'args': args})
def add_terminal_function_to_value(self, func_ref, args=[]):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'function': func_ref, 'args': args})
def get(self):
return self.terminal_set
|
class Terminalset:
node_type = 'terminal'
@classmethod
def is_terminal_value(cls, node):
return node['node_type'] == cls.NODE_TYPE and node.has_key('value') and (node['type'] in ['int', 'float'])
@classmethod
def terminal_value(cls, value):
return {'node_type': cls.NODE_TYPE, 'name': str(value), 'value': value, 'type': type(value).__name__}
def __init__(self):
self.terminal_set = []
def add_terminal_value(self, name, value):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'name': name, 'value': value, 'type': type(value).__name__})
def add_terminal_function(self, name, func_ref, value_type, args=[]):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'name': name, 'function': func_ref, 'type': value_type, 'args': args})
def add_terminal_function_to_value(self, func_ref, args=[]):
self.terminal_set.append({'node_type': self.NODE_TYPE, 'function': func_ref, 'args': args})
def get(self):
return self.terminal_set
|
"""
Parameters exchanged client <-> server and client <-> compensator
Copyright 2021 Reza NasiriGerdeh and Reihaneh TorkzadehMahani. 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.
"""
class Parameter:
"""
There are nine general categories of the parameters exchanged clients <-> server and client <-> compensator:
client -> server: authentication, synchronization, monitoring, and local parameters
server -> client: coordination, project, and global parameters
client -> compensator: authentication, synchronization, connection, data_type, and compensation parameters
compensator -> client: synchronization parameters
"""
AUTHENTICATION = "authentication_parameter"
SYNCHRONIZATION = "synchronization_parameter"
MONITORING = "monitoring_parameter"
PROJECT = "project_parameter"
COORDINATION = "coordination_parameter"
CONNECTION = "connection_parameter"
GLOBAL = "global_parameter"
LOCAL = "local_parameter"
COMPENSATION = "compensation_parameter"
DATA_TYPE = "data_type_parameter"
class AuthenticationParameter:
""" Parameters to authenticate the client """
# client -> server
USERNAME = "username"
PASSWORD = "password"
PROJECT_ID = "project_id"
TOKEN = "token"
# client -> compensator
HASH_USERNAME = "hash_username"
HASH_TOKEN = "hash_token"
HASH_PROJECT_ID = "hash_project_id"
class SyncParameter:
""" Client -> server or client <-> compensator parameters to ensure clients, server, and compensator are synced """
# client -> server and client -> compensator
PROJECT_STEP = "project_step"
COMM_ROUND = "communication_round"
# client -> server
OPERATION_STATUS = "operation_status"
COMPENSATOR_FLAG = "compensator_flag"
# compensator -> client
SHOULD_RETRY = "should_retry"
class MonitoringParameter:
""" Client -> server parameters to breakdown the runtime of the client """
COMPUTATION_TIME = "computation_time"
NETWORK_SEND_TIME = "network_send_time"
NETWORK_RECEIVE_TIME = "network_receive_time"
IDLE_TIME = "idle_time"
class HyFedProjectParameter:
""" Server -> client project parameters """
ID = "id"
TOOL = "tool"
ALGORITHM = "algorithm"
NAME = "name"
DESCRIPTION = "description"
COORDINATOR = "coordinator"
class CoordinationParameter:
""" Server -> client parameters for coordination purposes """
PROJECT_ID = "project_id"
PROJECT_STATUS = "project_status"
PROJECT_STEP = "project_step"
COMM_ROUND = "communication_round"
PROJECT_STARTED = "project_started"
CLIENT_JOINED = "client_joined"
class ConnectionParameter:
""" Mostly used in the client """
SERVER_NAME = "server_name"
SERVER_URL = "server_url" # client -> compensator
COMPENSATOR_NAME = "compensator_name"
COMPENSATOR_URL = "compensator_url"
|
"""
Parameters exchanged client <-> server and client <-> compensator
Copyright 2021 Reza NasiriGerdeh and Reihaneh TorkzadehMahani. 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.
"""
class Parameter:
"""
There are nine general categories of the parameters exchanged clients <-> server and client <-> compensator:
client -> server: authentication, synchronization, monitoring, and local parameters
server -> client: coordination, project, and global parameters
client -> compensator: authentication, synchronization, connection, data_type, and compensation parameters
compensator -> client: synchronization parameters
"""
authentication = 'authentication_parameter'
synchronization = 'synchronization_parameter'
monitoring = 'monitoring_parameter'
project = 'project_parameter'
coordination = 'coordination_parameter'
connection = 'connection_parameter'
global = 'global_parameter'
local = 'local_parameter'
compensation = 'compensation_parameter'
data_type = 'data_type_parameter'
class Authenticationparameter:
""" Parameters to authenticate the client """
username = 'username'
password = 'password'
project_id = 'project_id'
token = 'token'
hash_username = 'hash_username'
hash_token = 'hash_token'
hash_project_id = 'hash_project_id'
class Syncparameter:
""" Client -> server or client <-> compensator parameters to ensure clients, server, and compensator are synced """
project_step = 'project_step'
comm_round = 'communication_round'
operation_status = 'operation_status'
compensator_flag = 'compensator_flag'
should_retry = 'should_retry'
class Monitoringparameter:
""" Client -> server parameters to breakdown the runtime of the client """
computation_time = 'computation_time'
network_send_time = 'network_send_time'
network_receive_time = 'network_receive_time'
idle_time = 'idle_time'
class Hyfedprojectparameter:
""" Server -> client project parameters """
id = 'id'
tool = 'tool'
algorithm = 'algorithm'
name = 'name'
description = 'description'
coordinator = 'coordinator'
class Coordinationparameter:
""" Server -> client parameters for coordination purposes """
project_id = 'project_id'
project_status = 'project_status'
project_step = 'project_step'
comm_round = 'communication_round'
project_started = 'project_started'
client_joined = 'client_joined'
class Connectionparameter:
""" Mostly used in the client """
server_name = 'server_name'
server_url = 'server_url'
compensator_name = 'compensator_name'
compensator_url = 'compensator_url'
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019 Idiap Research Institute, http://www.idiap.ch/
# Written by Bastian Schnell <[email protected]>
#
class EmbeddingConfig(object):
def __init__(self, f_get_emb_index, num_embeddings, embedding_dim, name=None, **args):
assert callable(f_get_emb_index), "f_get_emb_index must be callable."
self.f_get_emb_index = f_get_emb_index
self.num_embeddings = num_embeddings
self.embedding_dim = embedding_dim
self.name = name
self.args = args
def __repr__(self):
if self.name is None:
output = ""
else:
output = "{}: ".format(self.name)
output += "{}x{}".format(self.num_embeddings, self.embedding_dim)
if len(self.args.keys()) > 0:
output += "with " + " ".join(map(str, **self.args))
return output
|
class Embeddingconfig(object):
def __init__(self, f_get_emb_index, num_embeddings, embedding_dim, name=None, **args):
assert callable(f_get_emb_index), 'f_get_emb_index must be callable.'
self.f_get_emb_index = f_get_emb_index
self.num_embeddings = num_embeddings
self.embedding_dim = embedding_dim
self.name = name
self.args = args
def __repr__(self):
if self.name is None:
output = ''
else:
output = '{}: '.format(self.name)
output += '{}x{}'.format(self.num_embeddings, self.embedding_dim)
if len(self.args.keys()) > 0:
output += 'with ' + ' '.join(map(str, **self.args))
return output
|
y=int(input("Enter The year: "))
if(((y%2==0)or (y%400==0))and y%100!=0):
print("leap Year")
else:
print("Not Leap year")
|
y = int(input('Enter The year: '))
if (y % 2 == 0 or y % 400 == 0) and y % 100 != 0:
print('leap Year')
else:
print('Not Leap year')
|
class Notifier:
def __init(self):
pass
def notify(self, msg):
print(msg)
def message(self, msg):
print(msg)
def message2(self, msg2):
print(msg2)
|
class Notifier:
def __init(self):
pass
def notify(self, msg):
print(msg)
def message(self, msg):
print(msg)
def message2(self, msg2):
print(msg2)
|
# -*- coding: utf-8 -*-
"""Version information for the bioregistry."""
__all__ = [
'VERSION',
]
VERSION = '0.1.4-dev'
|
"""Version information for the bioregistry."""
__all__ = ['VERSION']
version = '0.1.4-dev'
|
class Solution:
def reverseWords(self, s: str) -> str:
list1 = s.split(' ')[::-1]
new_string = ""
for i in range(0,len(list1)):
if(list1[i]!=""):
if(len(new_string)>0):
new_string+=" "
new_string+=list1[i]
return new_string
|
class Solution:
def reverse_words(self, s: str) -> str:
list1 = s.split(' ')[::-1]
new_string = ''
for i in range(0, len(list1)):
if list1[i] != '':
if len(new_string) > 0:
new_string += ' '
new_string += list1[i]
return new_string
|
# fig03_03.py
"""Using nested control statements to analyze examination results."""
# initialize variables
passes = 0 # number of passes
failures = 0 # number of failures
# process 10 students
for student in range(10):
# get one exam result
result = int(input('Enter result (1=pass, 2=fail): '))
if result == 1:
passes = passes + 1
else:
failures = failures + 1
# termination phase
print('Passed:', passes)
print('Failed:', failures)
if passes > 8:
print('Bonus to instructor')
##########################################################################
# (C) Copyright 2019 by Deitel & Associates, Inc. and #
# Pearson Education, Inc. All Rights Reserved. #
# #
# DISCLAIMER: The authors and publisher of this book have used their #
# best efforts in preparing the book. These efforts include the #
# development, research, and testing of the theories and programs #
# to determine their effectiveness. The authors and publisher make #
# no warranty of any kind, expressed or implied, with regard to these #
# programs or to the documentation contained in these books. The authors #
# and publisher shall not be liable in any event for incidental or #
# consequential damages in connection with, or arising out of, the #
# furnishing, performance, or use of these programs. #
##########################################################################
|
"""Using nested control statements to analyze examination results."""
passes = 0
failures = 0
for student in range(10):
result = int(input('Enter result (1=pass, 2=fail): '))
if result == 1:
passes = passes + 1
else:
failures = failures + 1
print('Passed:', passes)
print('Failed:', failures)
if passes > 8:
print('Bonus to instructor')
|
def relay_states_registar_value(relay_states):
num = 0
n = 8
for relay_state in relay_states:
if relay_state:
num += 2**n
n += 1
return num
def relay_states_from_register_value(value):
relay_states = []
num = value
for i in range(11, 7, -1):
if num >= 2**i:
num -= 2**i
relay_states.append(1)
else:
relay_states.append(0)
return relay_states
|
def relay_states_registar_value(relay_states):
num = 0
n = 8
for relay_state in relay_states:
if relay_state:
num += 2 ** n
n += 1
return num
def relay_states_from_register_value(value):
relay_states = []
num = value
for i in range(11, 7, -1):
if num >= 2 ** i:
num -= 2 ** i
relay_states.append(1)
else:
relay_states.append(0)
return relay_states
|
"""User variables to use toolkit for Dynatrace"""
FULL_SET = {
"CLUSTER_NAME": {
"url":"URL GOES HERE (EVEN FOR SAAS)",
"tenant": {
"tenant1": "TENANT UUID GOES HERE",
"tenant2": "TENANT UUID GOES HERE"
},
"api_token": {
"tenant1": "API TOKEN GOES HERE",
"tenant2": "API TOKEN GOES HERE",
},
"is_managed": True,
"cluster_token": "Required for Cluster Operations in Managed"
}
}
# ROLE TYPE KEYS
# access_env
# change_settings
# install_agent
# view_logs
# view_senstive
# change_sensitive
USER_GROUPS = {
"role_types":{
"access_env": "accessenv",
"change_settings": "changesettings",
"view_logs": "logviewer",
"view_sensitive": "viewsensitive"
},
"role_tenants":[
"nonprod",
"prod"
]
}
USER_GROUP_TEMPLATE = "prefix_{USER_TYPE}_{TENANT}_{APP_NAME}_suffix"
DEFAULT_TIMEZONE = "America/Chicago"
|
"""User variables to use toolkit for Dynatrace"""
full_set = {'CLUSTER_NAME': {'url': 'URL GOES HERE (EVEN FOR SAAS)', 'tenant': {'tenant1': 'TENANT UUID GOES HERE', 'tenant2': 'TENANT UUID GOES HERE'}, 'api_token': {'tenant1': 'API TOKEN GOES HERE', 'tenant2': 'API TOKEN GOES HERE'}, 'is_managed': True, 'cluster_token': 'Required for Cluster Operations in Managed'}}
user_groups = {'role_types': {'access_env': 'accessenv', 'change_settings': 'changesettings', 'view_logs': 'logviewer', 'view_sensitive': 'viewsensitive'}, 'role_tenants': ['nonprod', 'prod']}
user_group_template = 'prefix_{USER_TYPE}_{TENANT}_{APP_NAME}_suffix'
default_timezone = 'America/Chicago'
|
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
# Copyright (C) 2012 New Dream Network, LLC (DreamHost) 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.
def partition(fullname):
"""
The name should be in dotted.path:ClassName syntax.
"""
if ':' not in fullname:
raise ValueError('Invalid entry point specifier %r' % fullname)
(module_name, _, classname) = fullname.partition(':')
return (module_name, classname)
def import_entry_point(fullname):
"""
Given a name import the class and return it.
"""
(module_name, classname) = partition(fullname)
try:
module = __import__(module_name)
for submodule in module_name.split('.')[1:]:
module = getattr(module, submodule)
cls = getattr(module, classname)
except (ImportError, AttributeError) as err:
raise RuntimeError('Could not load entry point %s: %s' %
(fullname, err))
return cls
|
def partition(fullname):
"""
The name should be in dotted.path:ClassName syntax.
"""
if ':' not in fullname:
raise value_error('Invalid entry point specifier %r' % fullname)
(module_name, _, classname) = fullname.partition(':')
return (module_name, classname)
def import_entry_point(fullname):
"""
Given a name import the class and return it.
"""
(module_name, classname) = partition(fullname)
try:
module = __import__(module_name)
for submodule in module_name.split('.')[1:]:
module = getattr(module, submodule)
cls = getattr(module, classname)
except (ImportError, AttributeError) as err:
raise runtime_error('Could not load entry point %s: %s' % (fullname, err))
return cls
|
# for loop
# Iterating over a list
print("List Iteration")
l = ["Ankit", "Gupta"]
for i in l:
print(i)
# Iterating over a tuple (immutable)
print("\nTuple Iteration")
t = ("ankit", "gupta")
for i in t:
print(i)
# Iterating over a String
print("\nString Iteration")
s = "Ankit"
for i in s:
print(i)
# Iterating over dictionary
print("\nDictionary Iteration")
d = dict()
d['xyz'] = 123
d['abc'] = 345
for i in d:
print("% s % d" % (i, d[i]))
# for loop Using range() function
# Factorial of number
num = int(input('Number:'))
factorial = 1
# check if the number is negative, positive or zero
if num < 0:
print("Sorry, factorial does not exist for negative numbers")
elif num == 0:
print("The factorial of 0 is 1")
else:
for i in range(1,num + 1):
factorial = factorial*i
print("The factorial of",num,"is",factorial)
# printing a number
for i in range(10):
print(i, end=" ")
print()
# using range for iteration
l = [10, 20, 30, 40]
for i in range(len(l)):
print(l[i], end=" ")
print()
# performing sum of first 10 numbers
sum = 0
for i in range(1, 10):
sum = sum + i
print("Sum of first 10 numbers :", sum)
# Program to print table of given number
n = int(input("Enter the number "))
for i in range(1,11):
c = n*i
print(n,"*",i,"=",c)
# Program to print even number using step size in range()
n = int(input("Enter the number "))
for i in range(2,n,2):
print(i)
# Python program to demonstrate for-else loop
for i in range(1, 4):
print(i)
else: # Executed because no break in for
print("No Break")
for i in range(1, 4):
print(i)
break
else: # Not executed as there is a break
print("Break")
|
print('List Iteration')
l = ['Ankit', 'Gupta']
for i in l:
print(i)
print('\nTuple Iteration')
t = ('ankit', 'gupta')
for i in t:
print(i)
print('\nString Iteration')
s = 'Ankit'
for i in s:
print(i)
print('\nDictionary Iteration')
d = dict()
d['xyz'] = 123
d['abc'] = 345
for i in d:
print('% s % d' % (i, d[i]))
num = int(input('Number:'))
factorial = 1
if num < 0:
print('Sorry, factorial does not exist for negative numbers')
elif num == 0:
print('The factorial of 0 is 1')
else:
for i in range(1, num + 1):
factorial = factorial * i
print('The factorial of', num, 'is', factorial)
for i in range(10):
print(i, end=' ')
print()
l = [10, 20, 30, 40]
for i in range(len(l)):
print(l[i], end=' ')
print()
sum = 0
for i in range(1, 10):
sum = sum + i
print('Sum of first 10 numbers :', sum)
n = int(input('Enter the number '))
for i in range(1, 11):
c = n * i
print(n, '*', i, '=', c)
n = int(input('Enter the number '))
for i in range(2, n, 2):
print(i)
for i in range(1, 4):
print(i)
else:
print('No Break')
for i in range(1, 4):
print(i)
break
else:
print('Break')
|
with open('html_file.html','r') as rf:
with open('output.txt','w') as of:
for string in rf.readlines():
if "<a href=" in string :
of.write(string)
#Some Better Solution for video lecture no. 223
|
with open('html_file.html', 'r') as rf:
with open('output.txt', 'w') as of:
for string in rf.readlines():
if '<a href=' in string:
of.write(string)
|
#!/usr/bin/env python
input = input("Enter IP address: ")
octets = input.split(".")
first_octet = bin(int(octets[0]))
second_octet = bin(int(octets[1]))
third_octet = bin(int(octets[2]))
forth_octet = bin(int(octets[3]))
print("%-20s%-20s%-20s%-20s" % ("First Octet", "Second Octet",
"Third Octet", "Forth Octet"))
print("%-20s%-20s%-20s%-20s" % (first_octet, second_octet,
third_octet, forth_octet))
|
input = input('Enter IP address: ')
octets = input.split('.')
first_octet = bin(int(octets[0]))
second_octet = bin(int(octets[1]))
third_octet = bin(int(octets[2]))
forth_octet = bin(int(octets[3]))
print('%-20s%-20s%-20s%-20s' % ('First Octet', 'Second Octet', 'Third Octet', 'Forth Octet'))
print('%-20s%-20s%-20s%-20s' % (first_octet, second_octet, third_octet, forth_octet))
|
class Region:
def __init__ (self, bbox, region_):
self.bbox = bbox # [xmin, ymin, xmax, ymax] float
self.region_ = region_ # (d_region)
|
class Region:
def __init__(self, bbox, region_):
self.bbox = bbox
self.region_ = region_
|
# Copyright 2018 The Bazel 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.
"""Proxy file for referencing processor partials."""
load(
"@build_bazel_rules_apple//apple/internal/partials:app_assets_validation.bzl",
_app_assets_validation_partial = "app_assets_validation_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:apple_bundle_info.bzl",
_apple_bundle_info_partial = "apple_bundle_info_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:apple_symbols_file.bzl",
_apple_symbols_file_partial = "apple_symbols_file_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:binary.bzl",
_binary_partial = "binary_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:bitcode_symbols.bzl",
_bitcode_symbols_partial = "bitcode_symbols_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:clang_rt_dylibs.bzl",
_clang_rt_dylibs_partial = "clang_rt_dylibs_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:debug_symbols.bzl",
_debug_symbols_partial = "debug_symbols_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:embedded_bundles.bzl",
_embedded_bundles_partial = "embedded_bundles_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:extension_safe_validation.bzl",
_extension_safe_validation_partial = "extension_safe_validation_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:framework_headers.bzl",
_framework_headers_partial = "framework_headers_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:framework_import.bzl",
_framework_import_partial = "framework_import_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:framework_provider.bzl",
_framework_provider_partial = "framework_provider_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:macos_additional_contents.bzl",
_macos_additional_contents_partial = "macos_additional_contents_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:messages_stub.bzl",
_messages_stub_partial = "messages_stub_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:provisioning_profile.bzl",
_provisioning_profile_partial = "provisioning_profile_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:resources.bzl",
_resources_partial = "resources_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:settings_bundle.bzl",
_settings_bundle_partial = "settings_bundle_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:static_framework_header_modulemap.bzl",
_static_framework_header_modulemap_partial = "static_framework_header_modulemap_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:swift_dylibs.bzl",
_swift_dylibs_partial = "swift_dylibs_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:swift_dynamic_framework.bzl",
_swift_dynamic_framework_partial = "swift_dynamic_framework_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:swift_static_framework.bzl",
_swift_static_framework_partial = "swift_static_framework_partial",
)
load(
"@build_bazel_rules_apple//apple/internal/partials:watchos_stub.bzl",
_watchos_stub_partial = "watchos_stub_partial",
)
partials = struct(
app_assets_validation_partial = _app_assets_validation_partial,
apple_bundle_info_partial = _apple_bundle_info_partial,
binary_partial = _binary_partial,
bitcode_symbols_partial = _bitcode_symbols_partial,
clang_rt_dylibs_partial = _clang_rt_dylibs_partial,
debug_symbols_partial = _debug_symbols_partial,
embedded_bundles_partial = _embedded_bundles_partial,
extension_safe_validation_partial = _extension_safe_validation_partial,
framework_import_partial = _framework_import_partial,
framework_headers_partial = _framework_headers_partial,
framework_provider_partial = _framework_provider_partial,
macos_additional_contents_partial = _macos_additional_contents_partial,
messages_stub_partial = _messages_stub_partial,
provisioning_profile_partial = _provisioning_profile_partial,
resources_partial = _resources_partial,
settings_bundle_partial = _settings_bundle_partial,
static_framework_header_modulemap_partial = _static_framework_header_modulemap_partial,
swift_dylibs_partial = _swift_dylibs_partial,
swift_dynamic_framework_partial = _swift_dynamic_framework_partial,
swift_static_framework_partial = _swift_static_framework_partial,
apple_symbols_file_partial = _apple_symbols_file_partial,
watchos_stub_partial = _watchos_stub_partial,
)
|
"""Proxy file for referencing processor partials."""
load('@build_bazel_rules_apple//apple/internal/partials:app_assets_validation.bzl', _app_assets_validation_partial='app_assets_validation_partial')
load('@build_bazel_rules_apple//apple/internal/partials:apple_bundle_info.bzl', _apple_bundle_info_partial='apple_bundle_info_partial')
load('@build_bazel_rules_apple//apple/internal/partials:apple_symbols_file.bzl', _apple_symbols_file_partial='apple_symbols_file_partial')
load('@build_bazel_rules_apple//apple/internal/partials:binary.bzl', _binary_partial='binary_partial')
load('@build_bazel_rules_apple//apple/internal/partials:bitcode_symbols.bzl', _bitcode_symbols_partial='bitcode_symbols_partial')
load('@build_bazel_rules_apple//apple/internal/partials:clang_rt_dylibs.bzl', _clang_rt_dylibs_partial='clang_rt_dylibs_partial')
load('@build_bazel_rules_apple//apple/internal/partials:debug_symbols.bzl', _debug_symbols_partial='debug_symbols_partial')
load('@build_bazel_rules_apple//apple/internal/partials:embedded_bundles.bzl', _embedded_bundles_partial='embedded_bundles_partial')
load('@build_bazel_rules_apple//apple/internal/partials:extension_safe_validation.bzl', _extension_safe_validation_partial='extension_safe_validation_partial')
load('@build_bazel_rules_apple//apple/internal/partials:framework_headers.bzl', _framework_headers_partial='framework_headers_partial')
load('@build_bazel_rules_apple//apple/internal/partials:framework_import.bzl', _framework_import_partial='framework_import_partial')
load('@build_bazel_rules_apple//apple/internal/partials:framework_provider.bzl', _framework_provider_partial='framework_provider_partial')
load('@build_bazel_rules_apple//apple/internal/partials:macos_additional_contents.bzl', _macos_additional_contents_partial='macos_additional_contents_partial')
load('@build_bazel_rules_apple//apple/internal/partials:messages_stub.bzl', _messages_stub_partial='messages_stub_partial')
load('@build_bazel_rules_apple//apple/internal/partials:provisioning_profile.bzl', _provisioning_profile_partial='provisioning_profile_partial')
load('@build_bazel_rules_apple//apple/internal/partials:resources.bzl', _resources_partial='resources_partial')
load('@build_bazel_rules_apple//apple/internal/partials:settings_bundle.bzl', _settings_bundle_partial='settings_bundle_partial')
load('@build_bazel_rules_apple//apple/internal/partials:static_framework_header_modulemap.bzl', _static_framework_header_modulemap_partial='static_framework_header_modulemap_partial')
load('@build_bazel_rules_apple//apple/internal/partials:swift_dylibs.bzl', _swift_dylibs_partial='swift_dylibs_partial')
load('@build_bazel_rules_apple//apple/internal/partials:swift_dynamic_framework.bzl', _swift_dynamic_framework_partial='swift_dynamic_framework_partial')
load('@build_bazel_rules_apple//apple/internal/partials:swift_static_framework.bzl', _swift_static_framework_partial='swift_static_framework_partial')
load('@build_bazel_rules_apple//apple/internal/partials:watchos_stub.bzl', _watchos_stub_partial='watchos_stub_partial')
partials = struct(app_assets_validation_partial=_app_assets_validation_partial, apple_bundle_info_partial=_apple_bundle_info_partial, binary_partial=_binary_partial, bitcode_symbols_partial=_bitcode_symbols_partial, clang_rt_dylibs_partial=_clang_rt_dylibs_partial, debug_symbols_partial=_debug_symbols_partial, embedded_bundles_partial=_embedded_bundles_partial, extension_safe_validation_partial=_extension_safe_validation_partial, framework_import_partial=_framework_import_partial, framework_headers_partial=_framework_headers_partial, framework_provider_partial=_framework_provider_partial, macos_additional_contents_partial=_macos_additional_contents_partial, messages_stub_partial=_messages_stub_partial, provisioning_profile_partial=_provisioning_profile_partial, resources_partial=_resources_partial, settings_bundle_partial=_settings_bundle_partial, static_framework_header_modulemap_partial=_static_framework_header_modulemap_partial, swift_dylibs_partial=_swift_dylibs_partial, swift_dynamic_framework_partial=_swift_dynamic_framework_partial, swift_static_framework_partial=_swift_static_framework_partial, apple_symbols_file_partial=_apple_symbols_file_partial, watchos_stub_partial=_watchos_stub_partial)
|
def metade(x):
s = x / 2
return s
def dobro(n):
return 2 * n
def aumentar(n, p):
return (n * (p / 100)) + n
|
def metade(x):
s = x / 2
return s
def dobro(n):
return 2 * n
def aumentar(n, p):
return n * (p / 100) + n
|
# -*- coding: utf-8 -*-
'''
Package containing network handshakes
'''
|
"""
Package containing network handshakes
"""
|
def _merge(a, b):
members = set()
members.update(a.members if isinstance(a, TagSet) else {a})
members.update(b.members if isinstance(b, TagSet) else {b})
return TagSet(members)
class Tag:
def __init__(self, name):
self.name = name
__and__ = _merge
__rand__ = _merge
def __repr__(self):
return f"ptera.tag.{self.name}"
__str__ = __repr__
class TagSet:
def __init__(self, members):
self.members = frozenset(members)
__and__ = _merge
__rand__ = _merge
def __eq__(self, other):
return isinstance(other, TagSet) and other.members == self.members
def __repr__(self):
return " & ".join(sorted(map(str, self.members)))
__str__ = __repr__
class _TagFactory:
def __init__(self):
self._cache = {}
def __getattr__(self, name):
if name not in self._cache:
self._cache[name] = Tag(name)
return self._cache[name]
def match_tag(to_match, tg):
if to_match is None:
return True
if tg is None:
return False
elif isinstance(tg, TagSet):
return any(cat == to_match for cat in tg.members)
else:
return tg == to_match
def get_tags(*tags):
tags = [getattr(tag, tg) if isinstance(tg, str) else tg for tg in tags]
if len(tags) == 1:
return tags[0]
else:
return TagSet(tags)
tag = _TagFactory()
|
def _merge(a, b):
members = set()
members.update(a.members if isinstance(a, TagSet) else {a})
members.update(b.members if isinstance(b, TagSet) else {b})
return tag_set(members)
class Tag:
def __init__(self, name):
self.name = name
__and__ = _merge
__rand__ = _merge
def __repr__(self):
return f'ptera.tag.{self.name}'
__str__ = __repr__
class Tagset:
def __init__(self, members):
self.members = frozenset(members)
__and__ = _merge
__rand__ = _merge
def __eq__(self, other):
return isinstance(other, TagSet) and other.members == self.members
def __repr__(self):
return ' & '.join(sorted(map(str, self.members)))
__str__ = __repr__
class _Tagfactory:
def __init__(self):
self._cache = {}
def __getattr__(self, name):
if name not in self._cache:
self._cache[name] = tag(name)
return self._cache[name]
def match_tag(to_match, tg):
if to_match is None:
return True
if tg is None:
return False
elif isinstance(tg, TagSet):
return any((cat == to_match for cat in tg.members))
else:
return tg == to_match
def get_tags(*tags):
tags = [getattr(tag, tg) if isinstance(tg, str) else tg for tg in tags]
if len(tags) == 1:
return tags[0]
else:
return tag_set(tags)
tag = __tag_factory()
|
'''Unstamp Mail Submission Agent Server
This server receives outgoing mail from the email client, and gives it to the
Mail Transfer Agent to send.
'''
|
"""Unstamp Mail Submission Agent Server
This server receives outgoing mail from the email client, and gives it to the
Mail Transfer Agent to send.
"""
|
# Copyright 2013 Locaweb.
# 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.
#
# @author: Thiago Morello (morellon), Locaweb.
# @author: Willian Molinari (PotHix), Locaweb.
class Formatter(object):
def host(self, host_id, name, address):
return {
'id': host_id,
'name': name,
'address': address
}
def storage(self, sr_id, name, sr_type, used_space, allocated_space,
physical_size):
return {
'id': sr_id,
'name': name,
'type': sr_type,
'used_space': int(used_space),
'allocated_space': int(allocated_space),
'size': int(physical_size)
}
def guest(self, vmid, name, cpus, mem, hdd, pvirt, tools, ip, state, host):
return {
'id': vmid,
'name': name,
'cpus': int(cpus),
'memory': int(mem),
'hdd': hdd,
'paravirtualized': pvirt,
'tools_up_to_date': tools,
'ip': ip,
'state': state,
'host': host
}
def disk(self, disk_id, name, device, size, extra_info):
return {
'id': disk_id,
'name': name,
'number': device,
'size': size,
'extra_info': extra_info
}
def snapshot(self, snap_id, name, state=None, path=None, created=None):
return {
'id': snap_id,
'name': name,
'state': state,
'path': path,
'created': created
}
def network_interface(self, vif_id, device, mac, name_label, locking_mode, ipv4_allowed, ipv6_allowed, rate_limit=None):
return {
'id': vif_id,
'number': device,
'mac': mac,
'locking_mode': locking_mode,
'ipv4_allowed': ipv4_allowed,
'ipv6_allowed': ipv6_allowed,
'network': name_label,
'rate_limit': rate_limit
}
def pool(self, used_memory, total_memory, uuid, master, software_info=None):
return {
"used_memory": used_memory,
"total_memory": total_memory,
"uuid": uuid,
"master": master,
"software_info": software_info
}
|
class Formatter(object):
def host(self, host_id, name, address):
return {'id': host_id, 'name': name, 'address': address}
def storage(self, sr_id, name, sr_type, used_space, allocated_space, physical_size):
return {'id': sr_id, 'name': name, 'type': sr_type, 'used_space': int(used_space), 'allocated_space': int(allocated_space), 'size': int(physical_size)}
def guest(self, vmid, name, cpus, mem, hdd, pvirt, tools, ip, state, host):
return {'id': vmid, 'name': name, 'cpus': int(cpus), 'memory': int(mem), 'hdd': hdd, 'paravirtualized': pvirt, 'tools_up_to_date': tools, 'ip': ip, 'state': state, 'host': host}
def disk(self, disk_id, name, device, size, extra_info):
return {'id': disk_id, 'name': name, 'number': device, 'size': size, 'extra_info': extra_info}
def snapshot(self, snap_id, name, state=None, path=None, created=None):
return {'id': snap_id, 'name': name, 'state': state, 'path': path, 'created': created}
def network_interface(self, vif_id, device, mac, name_label, locking_mode, ipv4_allowed, ipv6_allowed, rate_limit=None):
return {'id': vif_id, 'number': device, 'mac': mac, 'locking_mode': locking_mode, 'ipv4_allowed': ipv4_allowed, 'ipv6_allowed': ipv6_allowed, 'network': name_label, 'rate_limit': rate_limit}
def pool(self, used_memory, total_memory, uuid, master, software_info=None):
return {'used_memory': used_memory, 'total_memory': total_memory, 'uuid': uuid, 'master': master, 'software_info': software_info}
|
class Settings:
def __init__(self):
# Rotors = Moveable wheels
self.rotors = {
"I": {"sequence": "ekmflgdqvzntowyhxuspaibrcj", "notches": ["r"]},
"II": {"sequence": "ajdksiruxblhwtmcqgznpyfvoe", "notches": ["f"]},
"III": {"sequence": "bdfhjlcprtxvznyeiwgakmusqo", "notches": ["w"]},
"IV": {"sequence": "esovpzjayquirhxlnftgkdcmwb", "notches": ["k"]},
"V": {"sequence": "vzbrgityupsdnhlxawmjqofeck", "notches": ["a"]},
"VI": {"sequence": "jpgvoumfyqbenhzrdkasxlictw", "notches": ["a", "n"]},
"VII": {"sequence": "nzjhgrcxmyswboufaivlpekqdt", "notches": ["a", "n"]},
"VIII": {"sequence": "fkqhtlxocbjspdzramewniuygv", "notches": ["a", "n"]},
}
# Reflector = Reflect the letter back for a second round of encryption
self.reflectors = {
"UKW-B-thin": "enkqauywjicopblmdxzvfthrgs",
"UKW-C-thin": "rdobjntkvehmlfcwzaxgyipsuq",
}
# zusatzwalze = left-most WHEEL, does not move
self.zusatzwalze = {
"beta": {"sequence": "leyjvcnixwpbqmdrtakzgfuhos", "notches": []},
"gamma": {"sequence": "fsokanuerhmbtiycwlqpzxvgjd", "notches": []},
}
self.alphabet = "abcdefghijklmnopqrstuvwxyz"
self.config = None
def to_position(self, param):
# convert a configuration parameter (letter or number) to the position it has in the alphabet
if type(param) is str and param in self.alphabet:
# Returns the position in the alphabet of a letter
return self.alphabet.index(param.lower())
elif type(param) is int and param > 0 and param < 27:
# This is already a number, return it - 1
return param - 1
else:
raise Exception("Invalid param. '" + str(param) + "' is not a valid argument")
def configure(self, configObj):
# create the actual configuration object
self.config = {
"reflector": configObj["reflector"],
"plugboard": configObj["plugboard"],
"rotors": {
"zusatzwalze": {
"rotor": configObj["zus"].get("rot"),
"starting_pos": self.to_position(configObj["zus"].get("pos")),
"ringstellung": self.to_position(configObj["zus"].get("ring")),
},
"rotor3": {
"rotor": configObj["rot3"].get("rot"),
"starting_pos": self.to_position(configObj["rot3"].get("pos")),
"ringstellung": self.to_position(configObj["rot3"].get("ring")),
},
"rotor2": {
"rotor": configObj["rot2"].get("rot"),
"starting_pos": self.to_position(configObj["rot2"].get("pos")),
"ringstellung": self.to_position(configObj["rot2"].get("ring")),
},
"rotor1": {
"rotor": configObj["rot1"].get("rot"),
"starting_pos": self.to_position(configObj["rot1"].get("pos")),
"ringstellung": self.to_position(configObj["rot1"].get("ring")),
},
},
}
def get_rotor(self, rotorName):
# return the rotor configuration after taking its name as input
if self.config != None:
if (rotorName in ["rotor1", "rotor2", "rotor3"]):
return {
"rotor": self.rotors[self.config["rotors"][rotorName]["rotor"]],
"starting_pos": self.config["rotors"][rotorName]["starting_pos"],
"ringstellung": self.config["rotors"][rotorName]["ringstellung"]
}
elif (rotorName == "zusatzwalze"):
return {
"rotor": self.zusatzwalze[self.config["rotors"][rotorName]["rotor"]],
"starting_pos": self.config["rotors"][rotorName]["starting_pos"],
"ringstellung": self.config["rotors"][rotorName]["ringstellung"]
}
return None
def get_reflector(self):
if self.config != None and self.config.get("reflector"):
return self.reflectors[self.config["reflector"]]
return None
def plugboard(self):
if self.config != None:
return self.config.get("plugboard", [])
return None
|
class Settings:
def __init__(self):
self.rotors = {'I': {'sequence': 'ekmflgdqvzntowyhxuspaibrcj', 'notches': ['r']}, 'II': {'sequence': 'ajdksiruxblhwtmcqgznpyfvoe', 'notches': ['f']}, 'III': {'sequence': 'bdfhjlcprtxvznyeiwgakmusqo', 'notches': ['w']}, 'IV': {'sequence': 'esovpzjayquirhxlnftgkdcmwb', 'notches': ['k']}, 'V': {'sequence': 'vzbrgityupsdnhlxawmjqofeck', 'notches': ['a']}, 'VI': {'sequence': 'jpgvoumfyqbenhzrdkasxlictw', 'notches': ['a', 'n']}, 'VII': {'sequence': 'nzjhgrcxmyswboufaivlpekqdt', 'notches': ['a', 'n']}, 'VIII': {'sequence': 'fkqhtlxocbjspdzramewniuygv', 'notches': ['a', 'n']}}
self.reflectors = {'UKW-B-thin': 'enkqauywjicopblmdxzvfthrgs', 'UKW-C-thin': 'rdobjntkvehmlfcwzaxgyipsuq'}
self.zusatzwalze = {'beta': {'sequence': 'leyjvcnixwpbqmdrtakzgfuhos', 'notches': []}, 'gamma': {'sequence': 'fsokanuerhmbtiycwlqpzxvgjd', 'notches': []}}
self.alphabet = 'abcdefghijklmnopqrstuvwxyz'
self.config = None
def to_position(self, param):
if type(param) is str and param in self.alphabet:
return self.alphabet.index(param.lower())
elif type(param) is int and param > 0 and (param < 27):
return param - 1
else:
raise exception("Invalid param. '" + str(param) + "' is not a valid argument")
def configure(self, configObj):
self.config = {'reflector': configObj['reflector'], 'plugboard': configObj['plugboard'], 'rotors': {'zusatzwalze': {'rotor': configObj['zus'].get('rot'), 'starting_pos': self.to_position(configObj['zus'].get('pos')), 'ringstellung': self.to_position(configObj['zus'].get('ring'))}, 'rotor3': {'rotor': configObj['rot3'].get('rot'), 'starting_pos': self.to_position(configObj['rot3'].get('pos')), 'ringstellung': self.to_position(configObj['rot3'].get('ring'))}, 'rotor2': {'rotor': configObj['rot2'].get('rot'), 'starting_pos': self.to_position(configObj['rot2'].get('pos')), 'ringstellung': self.to_position(configObj['rot2'].get('ring'))}, 'rotor1': {'rotor': configObj['rot1'].get('rot'), 'starting_pos': self.to_position(configObj['rot1'].get('pos')), 'ringstellung': self.to_position(configObj['rot1'].get('ring'))}}}
def get_rotor(self, rotorName):
if self.config != None:
if rotorName in ['rotor1', 'rotor2', 'rotor3']:
return {'rotor': self.rotors[self.config['rotors'][rotorName]['rotor']], 'starting_pos': self.config['rotors'][rotorName]['starting_pos'], 'ringstellung': self.config['rotors'][rotorName]['ringstellung']}
elif rotorName == 'zusatzwalze':
return {'rotor': self.zusatzwalze[self.config['rotors'][rotorName]['rotor']], 'starting_pos': self.config['rotors'][rotorName]['starting_pos'], 'ringstellung': self.config['rotors'][rotorName]['ringstellung']}
return None
def get_reflector(self):
if self.config != None and self.config.get('reflector'):
return self.reflectors[self.config['reflector']]
return None
def plugboard(self):
if self.config != None:
return self.config.get('plugboard', [])
return None
|
# Copyright 2019 Nicole Borrelli
#
# 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.
VANILLA_FLAGS = {
"garland_defeated": 0x01,
"bridge_to_be_rebuilt": 0x02,
"obtained_bridge": 0x03,
"obtained_lute": 0x04,
"obtained_ship": 0x05,
"obtained_crown": 0x06,
"obtained_crystal_eye": 0x07,
"obtained_jolt_tonic": 0x08,
"obtained_mystic_key": 0x09,
"obtained_nitro_powder": 0x0a,
"obtained_canal": 0x0b,
"vampire_defeated": 0x0c,
"obtained_ruby": 0x0d,
"titan_fed": 0x0e,
"obtained_earth_rod": 0x0f,
"broke_earth_plate": 0x10,
"lit_earth_crystal": 0x11,
"obtained_canoe": 0x12,
"lit_fire_crystal": 0x13,
"obtained_levistone": 0x14,
"airship_visible": 0x15,
"can_undertake_trials": 0x16,
"obtained_rats_tail": 0x17,
"obtained_promotion": 0x18,
"released_fairy": 0x19,
"obtained_oxyale": 0x1a,
"opened_sea_shrine": 0x1b,
"obtained_rosetta_stone": 0x1c,
"lit_water_crystal": 0x1d,
"learned_lufienian": 0x1e,
"obtained_chime": 0x1f,
"obtained_warp_cube": 0x20,
"obtained_adamantite": 0x21,
"lit_air_crystal": 0x22,
"obtained_excalibur": 0x23,
"black_orb_removed": 0x24,
"broke_lute_plate": 0x25,
"defeated_chaos": 0x26,
"heard_matoyas_plight": 0x27,
"heard_kings_plight": 0x28,
"watched_bridge_credits": 0x29
}
|
vanilla_flags = {'garland_defeated': 1, 'bridge_to_be_rebuilt': 2, 'obtained_bridge': 3, 'obtained_lute': 4, 'obtained_ship': 5, 'obtained_crown': 6, 'obtained_crystal_eye': 7, 'obtained_jolt_tonic': 8, 'obtained_mystic_key': 9, 'obtained_nitro_powder': 10, 'obtained_canal': 11, 'vampire_defeated': 12, 'obtained_ruby': 13, 'titan_fed': 14, 'obtained_earth_rod': 15, 'broke_earth_plate': 16, 'lit_earth_crystal': 17, 'obtained_canoe': 18, 'lit_fire_crystal': 19, 'obtained_levistone': 20, 'airship_visible': 21, 'can_undertake_trials': 22, 'obtained_rats_tail': 23, 'obtained_promotion': 24, 'released_fairy': 25, 'obtained_oxyale': 26, 'opened_sea_shrine': 27, 'obtained_rosetta_stone': 28, 'lit_water_crystal': 29, 'learned_lufienian': 30, 'obtained_chime': 31, 'obtained_warp_cube': 32, 'obtained_adamantite': 33, 'lit_air_crystal': 34, 'obtained_excalibur': 35, 'black_orb_removed': 36, 'broke_lute_plate': 37, 'defeated_chaos': 38, 'heard_matoyas_plight': 39, 'heard_kings_plight': 40, 'watched_bridge_credits': 41}
|
#!/usr/bin/env python3
#encoding=utf-8
#-------------------------------------------------
# Usage: python3 4-getattribute_to_compute_attribute.py
# Description: attribute management 4 of 4
# Same, but with generic __getattribute__ all attribute interception
#-------------------------------------------------
class Powers(object): # Need (object) in 2.X only
def __init__(self, square, cube):
self._square = square
self._cube = cube
def __getattribute__(self, name):
if name == 'square':
return object.__getattribute__(self, '_square') ** 2 # call superclass's __getattribute__, avoid recursive loop
elif name == 'cube':
return object.__getattribute__(self, '_cube') ** 3 # call superclass's __getattribute__, avoid recursive loop
else:
return object.__getattribute__(self, name) # call superclass's __getattribute__, avoid recursive loop
def __setattr__(self, name, value):
if name == 'square':
object.__setattr__(self, '_square', value) # Or use __dict__
elif name == 'cube':
object.__setattr__(self, '_cube', value)
else:
object.__setattr__(self, name , value)
if __name__ == '__main__':
X = Powers(3, 4)
print(X.square) # 3 ** 2 = 9
print(X.cube) # 4 ** 3 = 64
X.square = 5
print(X.square) # 5 ** 2 = 25
X.cube = 7
print(X.cube)
|
class Powers(object):
def __init__(self, square, cube):
self._square = square
self._cube = cube
def __getattribute__(self, name):
if name == 'square':
return object.__getattribute__(self, '_square') ** 2
elif name == 'cube':
return object.__getattribute__(self, '_cube') ** 3
else:
return object.__getattribute__(self, name)
def __setattr__(self, name, value):
if name == 'square':
object.__setattr__(self, '_square', value)
elif name == 'cube':
object.__setattr__(self, '_cube', value)
else:
object.__setattr__(self, name, value)
if __name__ == '__main__':
x = powers(3, 4)
print(X.square)
print(X.cube)
X.square = 5
print(X.square)
X.cube = 7
print(X.cube)
|
#!/usr/bin/python3
# files.py by Bill Weinman [http://bw.org/]
# This is an exercise file from Python 3 Essential Training on lynda.com
# Copyright 2010 The BearHeart Group, LLC
def main():
f = open('lines.txt')
for line in f:
print(line, end = '')
if __name__ == "__main__": main()
|
def main():
f = open('lines.txt')
for line in f:
print(line, end='')
if __name__ == '__main__':
main()
|
"""Common functions."""
__all__ = ['rshift']
def rshift(integer: int, shift: int) -> int:
"""Logical right binary shift."""
if integer >= 0:
return integer >> shift
return (integer + 0x100000000) >> shift
|
"""Common functions."""
__all__ = ['rshift']
def rshift(integer: int, shift: int) -> int:
"""Logical right binary shift."""
if integer >= 0:
return integer >> shift
return integer + 4294967296 >> shift
|
"""
lab 7
"""
# 3.1
i = -1
while i <6:
i = i+1
if i ==3 or i ==6:
continue
print(i)
# 3.2
i=1
result = 1
while i <=5:
#print(i)
result = result *i
i = i+1
print(result)
# 3.3
i = 1
result = 0
while i <=5:
result = result +i
i = i+1
print(result)
# 3.4
i = 3
result = 1
while i <=8:
result = result *i
i = i + 1
print(result)
# 3.5
# simplified to 8*7*6*5*4
i = 4
result = 1
while i<=8:
result = result *i
i = i+1
print(result)
# 3.6
num_list = [12,32,43,35]
while num_list:
num_list.remove(num_list[0])
print(num_list)
|
"""
lab 7
"""
i = -1
while i < 6:
i = i + 1
if i == 3 or i == 6:
continue
print(i)
i = 1
result = 1
while i <= 5:
result = result * i
i = i + 1
print(result)
i = 1
result = 0
while i <= 5:
result = result + i
i = i + 1
print(result)
i = 3
result = 1
while i <= 8:
result = result * i
i = i + 1
print(result)
i = 4
result = 1
while i <= 8:
result = result * i
i = i + 1
print(result)
num_list = [12, 32, 43, 35]
while num_list:
num_list.remove(num_list[0])
print(num_list)
|
"""582. Word Break II
"""
class Solution:
"""
@param: s: A string
@param: wordDict: A set of words.
@return: All possible sentences.
"""
def wordBreak(self, s, wordDict):
# write your code here
return self.dfs(0, s, wordDict, {})
def dfs(self, idx, s, dict, memo):
if idx == len(s):
return []
if s[idx:] in memo:
return memo[s[idx:]]
res = []
path = ""
for i in range(idx, len(s)):
if s[idx: i + 1] not in dict:
continue
prefixes = self.dfs(i + 1, s, dict, memo)
path = s[idx: i + 1]
for prefix in prefixes:
res.append(path + " " + prefix)
if s[idx:] in dict:
res.append(s[idx:])
memo[s[idx:]] = res
return res
### Practice:
return self.dfs(0, s, wordDict, {})
def dfs(self, idx, s, dict, memo):
if idx == len(s):
return []
if s[idx:] in memo:
return memo[s[idx:]]
res = []
path = ""
for i in range(idx, len(s)):
prefix = s[idx: i + 1]
if prefix not in dict:
continue
path = prefix
for sentence in self.dfs(i + 1, s, dict, memo):
res.append(path + " " + sentence)
if s[idx:] in dict:
res.append(s[idx:]) ## !!
memo[s[idx:]] = res
return res
##
return self.dfs(s, wordDict, {})
def dfs(self, s, wordDict, memo):
if s in memo:
return memo[s]
if not s:
return []
path = []
for i in range(1, len(s)):
prefix = s[:i]
if prefix not in wordDict:
continue
suffix = s[i:]
partitions = self.dfs(suffix, wordDict, memo)
for partition in partitions:
path.append(prefix + " " + partition)
if s in wordDict:
path.append(s)
memo[s] = path
return path
|
"""582. Word Break II
"""
class Solution:
"""
@param: s: A string
@param: wordDict: A set of words.
@return: All possible sentences.
"""
def word_break(self, s, wordDict):
return self.dfs(0, s, wordDict, {})
def dfs(self, idx, s, dict, memo):
if idx == len(s):
return []
if s[idx:] in memo:
return memo[s[idx:]]
res = []
path = ''
for i in range(idx, len(s)):
if s[idx:i + 1] not in dict:
continue
prefixes = self.dfs(i + 1, s, dict, memo)
path = s[idx:i + 1]
for prefix in prefixes:
res.append(path + ' ' + prefix)
if s[idx:] in dict:
res.append(s[idx:])
memo[s[idx:]] = res
return res
return self.dfs(0, s, wordDict, {})
def dfs(self, idx, s, dict, memo):
if idx == len(s):
return []
if s[idx:] in memo:
return memo[s[idx:]]
res = []
path = ''
for i in range(idx, len(s)):
prefix = s[idx:i + 1]
if prefix not in dict:
continue
path = prefix
for sentence in self.dfs(i + 1, s, dict, memo):
res.append(path + ' ' + sentence)
if s[idx:] in dict:
res.append(s[idx:])
memo[s[idx:]] = res
return res
return self.dfs(s, wordDict, {})
def dfs(self, s, wordDict, memo):
if s in memo:
return memo[s]
if not s:
return []
path = []
for i in range(1, len(s)):
prefix = s[:i]
if prefix not in wordDict:
continue
suffix = s[i:]
partitions = self.dfs(suffix, wordDict, memo)
for partition in partitions:
path.append(prefix + ' ' + partition)
if s in wordDict:
path.append(s)
memo[s] = path
return path
|
#Extensions:
# I have Taken Example 5.9 and extended it to dictionary
#no users:
usernames = {
'aes':{
'password':'64545465',
'key' : '56'
},
'bes':{
'password':'64545465',
'key' : '56'
},
'ces':{
'password':'64546545',
'key' : '56'
},
'admin':{
'password':'64546465',
'key' : '5'
}
}
if usernames != {}:
for user,info in usernames.items():
if user == 'admin':
print("Hello, admin! here are all the username and password")
print(usernames)
else :
print("hello",user,". Thank you for logging in.")
for password,key in info.items():
print(password,":",key)
else :
print("we need to find more users.")
|
usernames = {'aes': {'password': '64545465', 'key': '56'}, 'bes': {'password': '64545465', 'key': '56'}, 'ces': {'password': '64546545', 'key': '56'}, 'admin': {'password': '64546465', 'key': '5'}}
if usernames != {}:
for (user, info) in usernames.items():
if user == 'admin':
print('Hello, admin! here are all the username and password')
print(usernames)
else:
print('hello', user, '. Thank you for logging in.')
for (password, key) in info.items():
print(password, ':', key)
else:
print('we need to find more users.')
|
MACS_VERSION = "3.0.0a7"
MAX_PAIRNUM = 1000
MAX_LAMBDA = 100000
FESTEP = 20
BUFFER_SIZE = 100000 # np array will increase at step of 1 million items
READ_BUFFER_SIZE = 10000000 # 10M bytes for read buffer size
N_MP = 2 # Number of processers
|
macs_version = '3.0.0a7'
max_pairnum = 1000
max_lambda = 100000
festep = 20
buffer_size = 100000
read_buffer_size = 10000000
n_mp = 2
|
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 30 16:26:18 2018
Accelerator BPM
@author: xf18id
"""
bpm17_1x = EpicsSignalRO("SR:C17-BI{BPM:1}Pos:X-I", name="bpm17_1x")
bpm17_1y = EpicsSignalRO("SR:C17-BI{BPM:1}Pos:Y-I", name="bpm17_1y")
bpm17_2x = EpicsSignalRO("SR:C17-BI{BPM:2}Pos:X-I", name="bpm17_2x")
bpm17_2y = EpicsSignalRO("SR:C17-BI{BPM:2}Pos:Y-I", name="bpm17_2y")
bpm17_3x = EpicsSignalRO("SR:C17-BI{BPM:3}Pos:X-I", name="bpm17_3x")
bpm17_3y = EpicsSignalRO("SR:C17-BI{BPM:3}Pos:Y-I", name="bpm17_3y")
bpm17_4x = EpicsSignalRO("SR:C17-BI{BPM:4}Pos:X-I", name="bpm17_4x")
bpm17_4y = EpicsSignalRO("SR:C17-BI{BPM:4}Pos:Y-I", name="bpm17_4y")
bpm17_5x = EpicsSignalRO("SR:C17-BI{BPM:5}Pos:X-I", name="bpm17_5x")
bpm17_5y = EpicsSignalRO("SR:C17-BI{BPM:5}Pos:Y-I", name="bpm17_5y")
bpm17_6x = EpicsSignalRO("SR:C17-BI{BPM:6}Pos:X-I", name="bpm17_6x")
bpm17_6y = EpicsSignalRO("SR:C17-BI{BPM:6}Pos:Y-I", name="bpm17_6y")
bpm18_7x = EpicsSignalRO("SR:C18-BI{BPM:7}Pos:X-I", name="bpm18_7x")
bpm18_7y = EpicsSignalRO("SR:C18-BI{BPM:7}Pos:Y-I", name="bpm18_7y")
bpm18_8x = EpicsSignalRO("SR:C18-BI{BPM:8}Pos:X-I", name="bpm18_8x")
bpm18_8y = EpicsSignalRO("SR:C18-BI{BPM:8}Pos:Y-I", name="bpm18_8y")
bpm18_1x = EpicsSignalRO("SR:C18-BI{BPM:1}Pos:X-I", name="bpm18_1x")
bpm18_1y = EpicsSignalRO("SR:C18-BI{BPM:1}Pos:Y-I", name="bpm18_1y")
bpm18_2x = EpicsSignalRO("SR:C18-BI{BPM:2}Pos:X-I", name="bpm18_2x")
bpm18_2y = EpicsSignalRO("SR:C18-BI{BPM:2}Pos:Y-I", name="bpm18_2y")
bpm18_3x = EpicsSignalRO("SR:C18-BI{BPM:3}Pos:X-I", name="bpm18_3x")
bpm18_3y = EpicsSignalRO("SR:C18-BI{BPM:3}Pos:Y-I", name="bpm18_3y")
bpm18_4x = EpicsSignalRO("SR:C18-BI{BPM:4}Pos:X-I", name="bpm18_4x")
bpm18_4y = EpicsSignalRO("SR:C18-BI{BPM:4}Pos:Y-I", name="bpm18_4y")
bpm18_5x = EpicsSignalRO("SR:C18-BI{BPM:5}Pos:X-I", name="bpm18_5x")
bpm18_5y = EpicsSignalRO("SR:C18-BI{BPM:5}Pos:Y-I", name="bpm18_5y")
bpm18_6x = EpicsSignalRO("SR:C18-BI{BPM:6}Pos:X-I", name="bpm18_6x")
bpm18_6y = EpicsSignalRO("SR:C18-BI{BPM:6}Pos:Y-I", name="bpm18_6y")
bpm_17x = [bpm17_1x, bpm17_2x, bpm17_3x, bpm17_4x, bpm17_5x, bpm17_6x]
bpm_17y = [bpm17_1y, bpm17_2y, bpm17_3y, bpm17_4y, bpm17_5y, bpm17_6y]
bpm_18x = [
bpm18_1x,
bpm18_2x,
bpm18_3x,
bpm18_4x,
bpm18_5x,
bpm18_6x,
bpm18_7x,
bpm18_8x,
]
bpm_18y = [
bpm18_1y,
bpm18_2y,
bpm18_3y,
bpm18_4y,
bpm18_5y,
bpm18_6y,
bpm18_7y,
bpm18_8y,
]
bpm_17 = bpm_17x + bpm_17y
bpm_18 = bpm_18x + bpm_18y
# bpm_17 = [bpm17_1x,bpm17_1y, bpm17_2x,bpm17_2y,bpm17_3x,bpm17_3y, bpm17_4x,bpm17_4y, bpm17_5x,bpm17_5y, bpm17_6x,bpm17_6y]
# bpm_18 = [bpm18_1x,bpm18_1y, bpm18_2x,bpm18_2y,bpm18_3x,bpm18_3y, bpm18_4x,bpm18_4y, bpm18_5x,bpm18_5y, bpm18_6x,bpm18_6y, bpm18_7x,bpm18_7y, bpm18_8x,bpm18_8y]
|
"""
Created on Fri Mar 30 16:26:18 2018
Accelerator BPM
@author: xf18id
"""
bpm17_1x = epics_signal_ro('SR:C17-BI{BPM:1}Pos:X-I', name='bpm17_1x')
bpm17_1y = epics_signal_ro('SR:C17-BI{BPM:1}Pos:Y-I', name='bpm17_1y')
bpm17_2x = epics_signal_ro('SR:C17-BI{BPM:2}Pos:X-I', name='bpm17_2x')
bpm17_2y = epics_signal_ro('SR:C17-BI{BPM:2}Pos:Y-I', name='bpm17_2y')
bpm17_3x = epics_signal_ro('SR:C17-BI{BPM:3}Pos:X-I', name='bpm17_3x')
bpm17_3y = epics_signal_ro('SR:C17-BI{BPM:3}Pos:Y-I', name='bpm17_3y')
bpm17_4x = epics_signal_ro('SR:C17-BI{BPM:4}Pos:X-I', name='bpm17_4x')
bpm17_4y = epics_signal_ro('SR:C17-BI{BPM:4}Pos:Y-I', name='bpm17_4y')
bpm17_5x = epics_signal_ro('SR:C17-BI{BPM:5}Pos:X-I', name='bpm17_5x')
bpm17_5y = epics_signal_ro('SR:C17-BI{BPM:5}Pos:Y-I', name='bpm17_5y')
bpm17_6x = epics_signal_ro('SR:C17-BI{BPM:6}Pos:X-I', name='bpm17_6x')
bpm17_6y = epics_signal_ro('SR:C17-BI{BPM:6}Pos:Y-I', name='bpm17_6y')
bpm18_7x = epics_signal_ro('SR:C18-BI{BPM:7}Pos:X-I', name='bpm18_7x')
bpm18_7y = epics_signal_ro('SR:C18-BI{BPM:7}Pos:Y-I', name='bpm18_7y')
bpm18_8x = epics_signal_ro('SR:C18-BI{BPM:8}Pos:X-I', name='bpm18_8x')
bpm18_8y = epics_signal_ro('SR:C18-BI{BPM:8}Pos:Y-I', name='bpm18_8y')
bpm18_1x = epics_signal_ro('SR:C18-BI{BPM:1}Pos:X-I', name='bpm18_1x')
bpm18_1y = epics_signal_ro('SR:C18-BI{BPM:1}Pos:Y-I', name='bpm18_1y')
bpm18_2x = epics_signal_ro('SR:C18-BI{BPM:2}Pos:X-I', name='bpm18_2x')
bpm18_2y = epics_signal_ro('SR:C18-BI{BPM:2}Pos:Y-I', name='bpm18_2y')
bpm18_3x = epics_signal_ro('SR:C18-BI{BPM:3}Pos:X-I', name='bpm18_3x')
bpm18_3y = epics_signal_ro('SR:C18-BI{BPM:3}Pos:Y-I', name='bpm18_3y')
bpm18_4x = epics_signal_ro('SR:C18-BI{BPM:4}Pos:X-I', name='bpm18_4x')
bpm18_4y = epics_signal_ro('SR:C18-BI{BPM:4}Pos:Y-I', name='bpm18_4y')
bpm18_5x = epics_signal_ro('SR:C18-BI{BPM:5}Pos:X-I', name='bpm18_5x')
bpm18_5y = epics_signal_ro('SR:C18-BI{BPM:5}Pos:Y-I', name='bpm18_5y')
bpm18_6x = epics_signal_ro('SR:C18-BI{BPM:6}Pos:X-I', name='bpm18_6x')
bpm18_6y = epics_signal_ro('SR:C18-BI{BPM:6}Pos:Y-I', name='bpm18_6y')
bpm_17x = [bpm17_1x, bpm17_2x, bpm17_3x, bpm17_4x, bpm17_5x, bpm17_6x]
bpm_17y = [bpm17_1y, bpm17_2y, bpm17_3y, bpm17_4y, bpm17_5y, bpm17_6y]
bpm_18x = [bpm18_1x, bpm18_2x, bpm18_3x, bpm18_4x, bpm18_5x, bpm18_6x, bpm18_7x, bpm18_8x]
bpm_18y = [bpm18_1y, bpm18_2y, bpm18_3y, bpm18_4y, bpm18_5y, bpm18_6y, bpm18_7y, bpm18_8y]
bpm_17 = bpm_17x + bpm_17y
bpm_18 = bpm_18x + bpm_18y
|
# error if not grade for a student
# OPTION 2: change the policy
def get_stats(class_list):
new_stats = []
for item in class_list:
new_stats.append([item[0], item[1], avg(item[1])])
return new_stats
def avg(grades):
try:
return sum(grades)/len(grades)
except ZeroDivisionError:
print('no grades data')
return 0.0 # decided that students w/o grades get a 0
# test_grades = [[['peter', 'parker'], [10.0, 5.0, 85.0]], [['bruce', 'wayne'], [10.0, 8.0, 74.0]]]
test_grades = [[['peter', 'parker'], [10.0, 5.0, 85.0]],
[['bruce', 'wayne'], [10.0, 8.0, 74.0]], [['deadpool'], []]]
print(get_stats(test_grades))
|
def get_stats(class_list):
new_stats = []
for item in class_list:
new_stats.append([item[0], item[1], avg(item[1])])
return new_stats
def avg(grades):
try:
return sum(grades) / len(grades)
except ZeroDivisionError:
print('no grades data')
return 0.0
test_grades = [[['peter', 'parker'], [10.0, 5.0, 85.0]], [['bruce', 'wayne'], [10.0, 8.0, 74.0]], [['deadpool'], []]]
print(get_stats(test_grades))
|
class BaseHelper:
def __init__(self, device):
self.device = device
def params(self, locals_: dict):
params = locals_.copy()
params.pop('self')
return params
|
class Basehelper:
def __init__(self, device):
self.device = device
def params(self, locals_: dict):
params = locals_.copy()
params.pop('self')
return params
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class Watchdog(object):
KEEP_ALIVE = '\n'
DEVICE = '/dev/watchdog'
# STOP = 'V' in bleaglebone black not works
def __init__(self):
pass
def notify(self, device, msg):
'''
/dev/watchdog is opened and will reboot unless the watchdog is pinged
within a certain time.
:param device str: path of watchdog special device
:param msg str: string to send
'''
with open(device, 'w+') as file:
file.write(msg)
file.flush()
def main():
Watchdog().notify(Watchdog.DEVICE,
Watchdog.KEEP_ALIVE)
if __name__ == '__main__':
main()
|
class Watchdog(object):
keep_alive = '\n'
device = '/dev/watchdog'
def __init__(self):
pass
def notify(self, device, msg):
"""
/dev/watchdog is opened and will reboot unless the watchdog is pinged
within a certain time.
:param device str: path of watchdog special device
:param msg str: string to send
"""
with open(device, 'w+') as file:
file.write(msg)
file.flush()
def main():
watchdog().notify(Watchdog.DEVICE, Watchdog.KEEP_ALIVE)
if __name__ == '__main__':
main()
|
def CheckBinarySearchTreeSequence(arr: iter):
"""
Checks if a binary search sequence can is feasible
:param arr: An array containing the binary search tree sequence
:type arr: iter
"""
invalidSequenceString = "sequence is invalid: %s %s %s."
searchVal = arr[-1]
minVal = min(arr) - 1
maxVal = max(arr) + 1
for i in arr:
if i < searchVal:
if i < minVal:
return invalidSequenceString % (i, "<", minVal)
if i == minVal:
return invalidSequenceString % (i, "appears", "multiple times")
minVal = i
elif i > searchVal:
if i > maxVal:
return invalidSequenceString % (i, ">", maxVal)
if i == maxVal:
return invalidSequenceString % (i, "appears", "multiple times")
maxVal = i
return "the sequence is valid."
|
def check_binary_search_tree_sequence(arr: iter):
"""
Checks if a binary search sequence can is feasible
:param arr: An array containing the binary search tree sequence
:type arr: iter
"""
invalid_sequence_string = 'sequence is invalid: %s %s %s.'
search_val = arr[-1]
min_val = min(arr) - 1
max_val = max(arr) + 1
for i in arr:
if i < searchVal:
if i < minVal:
return invalidSequenceString % (i, '<', minVal)
if i == minVal:
return invalidSequenceString % (i, 'appears', 'multiple times')
min_val = i
elif i > searchVal:
if i > maxVal:
return invalidSequenceString % (i, '>', maxVal)
if i == maxVal:
return invalidSequenceString % (i, 'appears', 'multiple times')
max_val = i
return 'the sequence is valid.'
|
"""Macros to simplify generating maven files.
"""
load("@google_bazel_common//tools/maven:pom_file.bzl", default_pom_file = "pom_file")
def pom_file(name, targets, artifact_name, artifact_id, packaging = None, **kwargs):
default_pom_file(
name = name,
targets = targets,
preferred_group_ids = [
"com.google.common.inject",
"com.google.inject",
"dagger",
"com.google",
],
template_file = "//tools:pom-template.xml",
substitutions = {
"{artifact_name}": artifact_name,
"{artifact_id}": artifact_id,
"{packaging}": packaging or "jar",
},
**kwargs
)
POM_VERSION = "${project.version}"
|
"""Macros to simplify generating maven files.
"""
load('@google_bazel_common//tools/maven:pom_file.bzl', default_pom_file='pom_file')
def pom_file(name, targets, artifact_name, artifact_id, packaging=None, **kwargs):
default_pom_file(name=name, targets=targets, preferred_group_ids=['com.google.common.inject', 'com.google.inject', 'dagger', 'com.google'], template_file='//tools:pom-template.xml', substitutions={'{artifact_name}': artifact_name, '{artifact_id}': artifact_id, '{packaging}': packaging or 'jar'}, **kwargs)
pom_version = '${project.version}'
|
class Solution:
def backspaceCompare(self, S: str, T: str) -> bool:
s_bcount, t_bcount = 0, 0
s_idx, t_idx = len(S) - 1, len(T) - 1
while s_idx >= 0 or t_idx >= 0:
while s_idx >= 0:
if S[s_idx] == '#':
s_bcount += 1
s_idx -= 1
continue
if s_bcount > 0:
s_idx -= 1
s_bcount -= 1
else:
break
while t_idx >= 0:
if T[t_idx] == '#':
t_bcount += 1
t_idx -= 1
continue
if t_bcount > 0:
t_idx -= 1
t_bcount -= 1
else:
break
if s_idx >= 0 and t_idx >= 0 and S[s_idx] != T[t_idx]:
return False
elif (s_idx >= 0 and t_idx < 0) or (s_idx < 0 and t_idx >= 0):
return False
s_idx -= 1
t_idx -= 1
return True
|
class Solution:
def backspace_compare(self, S: str, T: str) -> bool:
(s_bcount, t_bcount) = (0, 0)
(s_idx, t_idx) = (len(S) - 1, len(T) - 1)
while s_idx >= 0 or t_idx >= 0:
while s_idx >= 0:
if S[s_idx] == '#':
s_bcount += 1
s_idx -= 1
continue
if s_bcount > 0:
s_idx -= 1
s_bcount -= 1
else:
break
while t_idx >= 0:
if T[t_idx] == '#':
t_bcount += 1
t_idx -= 1
continue
if t_bcount > 0:
t_idx -= 1
t_bcount -= 1
else:
break
if s_idx >= 0 and t_idx >= 0 and (S[s_idx] != T[t_idx]):
return False
elif s_idx >= 0 and t_idx < 0 or (s_idx < 0 and t_idx >= 0):
return False
s_idx -= 1
t_idx -= 1
return True
|
class Solution:
def ladderLength(self, beginWord: str, endWord: str, wordList: List[str]) -> int:
if endWord not in wordList:
return 0
result = 0
l = len(beginWord)
beginSet = {beginWord}
endSet = {endWord}
wordList = set(wordList)
while beginSet or endSet:
result += 1
if len(beginSet) < len(endSet):
beginSet, endSet = endSet, beginSet
newSet = set()
for word in beginSet:
for index in range(l):
for c in string.ascii_lowercase:
newWord = word[:index] + c + word[index + 1:]
if newWord in endSet:
return result + 1
if newWord not in wordList:
continue
wordList.remove(newWord)
newSet.add(newWord)
beginSet = newSet
return 0
|
class Solution:
def ladder_length(self, beginWord: str, endWord: str, wordList: List[str]) -> int:
if endWord not in wordList:
return 0
result = 0
l = len(beginWord)
begin_set = {beginWord}
end_set = {endWord}
word_list = set(wordList)
while beginSet or endSet:
result += 1
if len(beginSet) < len(endSet):
(begin_set, end_set) = (endSet, beginSet)
new_set = set()
for word in beginSet:
for index in range(l):
for c in string.ascii_lowercase:
new_word = word[:index] + c + word[index + 1:]
if newWord in endSet:
return result + 1
if newWord not in wordList:
continue
wordList.remove(newWord)
newSet.add(newWord)
begin_set = newSet
return 0
|
# coding: utf8
# try something like
# coding: utf8
# try something like
def index():
rows = db((db.activity.type=='stand')&(db.activity.status=='accepted')).select()
if rows:
return dict(projects=rows)
else:
return plugin_flatpage()
|
def index():
rows = db((db.activity.type == 'stand') & (db.activity.status == 'accepted')).select()
if rows:
return dict(projects=rows)
else:
return plugin_flatpage()
|
#re-learning about class and objects.
class MyClass: #ini class, class adalah blueprint dari object
var = "blah" #variable ini adalah object didalan class
def function(self): #ini adalah fungsi didalam class
print("This is a message inside the class.")
myobjectx = MyClass() #myobjectx adalah variable, yang menyimpan object dari class MyClass() yang isinya berupa var(object) dan function.
myobjectx.var #mengakses var
print(myobjectx.var)
print("####\n")
###################
## 2 object menggunakan class yang sama
myobjecty = MyClass()
myobjectz = MyClass()
myobjectz.var = "zlah" #mendefinisikan var
print(myobjectx.var) #hasilnya tetap blah
print(myobjectz.var) #hasilnya akan menjadi zlah, karena habis di redefinisi
print("####\n")
###################
## mengakses fungsi
myobjectx.function()
print("####\n")
###################
## exercise
class Vehicle:
name = ""
kind = "car"
color = ""
value = 100.00
def description(self):
desc = "%s is a %s %s worth $%.2f." % (self.name, self.color, self.kind, self.value)
return desc
car1 = Vehicle()
car1.name = "Fer"
car1.kind = "Convertible"
car1.color = "Red"
car1.value = 60000.00
car2 = Vehicle()
car2.name = "Jump"
car2.kind = "Van"
car2.color = "Blue"
car2.value = 10000
print(car1.description())
print(car2.description())
|
class Myclass:
var = 'blah'
def function(self):
print('This is a message inside the class.')
myobjectx = my_class()
myobjectx.var
print(myobjectx.var)
print('####\n')
myobjecty = my_class()
myobjectz = my_class()
myobjectz.var = 'zlah'
print(myobjectx.var)
print(myobjectz.var)
print('####\n')
myobjectx.function()
print('####\n')
class Vehicle:
name = ''
kind = 'car'
color = ''
value = 100.0
def description(self):
desc = '%s is a %s %s worth $%.2f.' % (self.name, self.color, self.kind, self.value)
return desc
car1 = vehicle()
car1.name = 'Fer'
car1.kind = 'Convertible'
car1.color = 'Red'
car1.value = 60000.0
car2 = vehicle()
car2.name = 'Jump'
car2.kind = 'Van'
car2.color = 'Blue'
car2.value = 10000
print(car1.description())
print(car2.description())
|
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