commit
stringlengths 40
40
| subject
stringlengths 4
1.73k
| repos
stringlengths 5
127k
| old_file
stringlengths 2
751
| new_file
stringlengths 2
751
| new_contents
stringlengths 1
8.98k
| old_contents
stringlengths 0
6.59k
| license
stringclasses 13
values | lang
stringclasses 23
values |
|---|---|---|---|---|---|---|---|---|
7f9ca64313fff0716143cf7d56075a565f35d60f
|
add docstring describing public API (#2140)
|
tensorflow/tensorboard,tensorflow/tensorboard,tensorflow/tensorboard,tensorflow/tensorboard,tensorflow/tensorboard,tensorflow/tensorboard,tensorflow/tensorboard
|
tensorboard/plugins/hparams/api.py
|
tensorboard/plugins/hparams/api.py
|
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Experimental public APIs for the HParams plugin.
This module supports a spectrum of use cases, depending on how much
structure you want. In the simplest case, you can simply collect your
hparams into a dict, and use a Keras callback to record them:
>>> from tensorboard.plugins.hparams import api as hp
>>> hparams = {
... "optimizer": "adam",
... "fc_dropout": 0.2,
... "neurons": 128,
... # ...
... }
>>>
>>> model = model_fn(hparams)
>>> callbacks = [
>>> tf.keras.callbacks.TensorBoard(logdir),
>>> hp.KerasCallback(logdir, hparams),
>>> ]
>>> model.fit(..., callbacks=callbacks)
The Keras callback requires that TensorFlow eager execution be enabled.
If not using Keras, use the `hparams` function to write the values
directly:
>>> # In eager mode:
>>> with tf.create_file_writer(logdir).as_default():
... hp.hparams(hparams)
>>>
>>> # In legacy graph mode:
>>> with tf.compat.v2.create_file_writer(logdir).as_default() as w:
... sess.run(w.init())
... sess.run(hp.hparams(hparams))
... sess.run(w.flush())
To control how hyperparameters and metrics appear in the TensorBoard UI,
you can define `HParam` and `Metric` objects and collect them in an
`Experiment`:
>>> HP_OPTIMIZER = hp.HParam("optimizer")
>>> HP_FC_DROPOUT = hp.HParam(
... "fc_dropout",
... display_name="f.c. dropout",
... description="Dropout rate for fully connected subnet.",
... )
>>> HP_NEURONS = hp.HParam("neurons", description="Neurons per dense layer")
>>>
>>> experiment = hp.Experiment(
... hparams=[
... HP_OPTIMIZER,
... HP_FC_DROPOUT,
... HP_NEURONS,
... ],
... metrics=[
... hp.Metric("xent", group="validation", display_name="cross-entropy"),
... hp.Metric("f1", group="validation", display_name="F₁ score"),
... hp.Metric("loss", group="train", display_name="training loss"),
... ],
... )
>>> with tf.summary.create_file_writer(base_logdir).as_default():
... hp.hparams_config(experiment) # write experiment summary
You can continue to pass a string-keyed dict to the Keras callback or
the `hparams` function, or you can use `HParam` objects as the keys. The
latter approach enables better static analysis: your favorite Python
linter can tell you if you misspell a hyperparameter name, your IDE can
help you find all the places where a hyperparameter is used, etc:
>>> hparams = {
... HP_OPTIMIZER: "adam",
... HP_FC_DROPOUT: 0.2,
... HP_NEURONS: 128,
... # ...
... }
>>>
>>> model = model_fn(hparams)
>>> callbacks = [
>>> tf.keras.callbacks.TensorBoard(logdir),
>>> hp.KerasCallback(logdir, hparams),
>>> ]
Finally, you can choose to annotate your hparam definitions with domain
information:
>>> HP_OPTIMIZER = hp.HParam("optimizer", hp.Discrete(["adam", "sgd"]))
>>> HP_FC_DROPOUT = hp.HParam("fc_dropout", hp.RealInterval(0.1, 0.4))
>>> HP_NEURONS = hp.HParam("neurons", hp.IntInterval(64, 256))
The TensorBoard HParams plugin does not provide tuners, but you can
integrate these domains into your preferred tuning framework if you so
desire. The domains will also be reflected in the TensorBoard UI.
See the `Experiment`, `HParam`, `Metric`, and `KerasCallback` classes
for API specifications. Consult the `hparams_demo.py` script in the
TensorBoard repository for an end-to-end MNIST example.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorboard.plugins.hparams import keras
from tensorboard.plugins.hparams import summary_v2
Discrete = summary_v2.Discrete
Domain = summary_v2.Domain
HParam = summary_v2.HParam
IntInterval = summary_v2.IntInterval
Metric = summary_v2.Metric
RealInterval = summary_v2.RealInterval
hparams = summary_v2.hparams
hparams_pb = summary_v2.hparams_pb
hparams_config = summary_v2.hparams_config
hparams_config_pb = summary_v2.hparams_config_pb
KerasCallback = keras.Callback
del absolute_import
del division
del keras
del print_function
del summary_v2
|
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Experimental public APIs for the HParams plugin."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorboard.plugins.hparams import keras
from tensorboard.plugins.hparams import summary_v2
Discrete = summary_v2.Discrete
Domain = summary_v2.Domain
HParam = summary_v2.HParam
IntInterval = summary_v2.IntInterval
Metric = summary_v2.Metric
RealInterval = summary_v2.RealInterval
hparams = summary_v2.hparams
hparams_pb = summary_v2.hparams_pb
hparams_config = summary_v2.hparams_config
hparams_config_pb = summary_v2.hparams_config_pb
KerasCallback = keras.Callback
del absolute_import
del division
del keras
del print_function
del summary_v2
|
apache-2.0
|
Python
|
a68bb0d268861d30c26647523991ed215853cdfe
|
add Reeve post
|
opencivicdata/scrapers-ca,opencivicdata/scrapers-ca
|
ca_ab_grande_prairie_county_no_1/people.py
|
ca_ab_grande_prairie_county_no_1/people.py
|
from pupa.scrape import Scraper
from utils import lxmlize, CanadianLegislator as Legislator
import re
COUNCIL_PAGE = 'http://www.countygp.ab.ca/EN/main/government/council.html'
REEVE_URL = 'http://www.countygp.ab.ca/EN/main/government/council/reeve-message.html'
class GrandePrairieCountyNo1PersonScraper(Scraper):
# @todo The Reeve is also a Councillor.
def get_people(self):
reeve_page = lxmlize(REEVE_URL)
reeve_name = reeve_page.xpath('string(//b)').split(',')[0]
page = lxmlize(COUNCIL_PAGE)
councillors = page.xpath('//table[@class="table-plain"]/tbody/tr/td[2]')
for councillor in councillors:
name = councillor.xpath('./h2')[0].text_content().split(
'Division')[0].strip()
district = re.findall(r'(Division [0-9])', councillor.xpath('./h2')[0].text_content())[0]
p = Legislator(name=name, post_id=district, role='Councillor')
if name == reeve_name:
p.add_committee_membership('Grande Prairie County No. 1', role='Reeve')
p.add_source(COUNCIL_PAGE)
image = councillor.xpath('./preceding-sibling::td//img/@src')[0]
p.image = image
address = councillor.xpath('./p[1]')[0].text_content()
email = councillor.xpath('.//a[contains(@href, "mailto:")]')[0].text_content()
p.add_contact('address', address, 'legislature')
p.add_contact('email', email, None)
numbers = councillor.xpath('./p[2]')[0].text_content().replace('Email: ', '').replace(email, '').split(':')
for index, number in enumerate(numbers):
if index == 0:
continue
contact_type = re.findall(r'[A-Za-z]+', numbers[index - 1])[0]
number = re.findall(r'[0-9]{3}.[0-9]{3}.[0-9]{4}', number)[0].replace('.', '-')
if contact_type == 'Fax':
p.add_contact('fax', number, 'legislature')
elif contact_type == 'Cell':
p.add_contact('cell', number, 'legislature')
elif contact_type == 'Hm':
p.add_contact('voice', number, 'residence')
else:
raise Exception('Unrecognized contact type %s' % contact_type)
yield p
|
from pupa.scrape import Scraper
from utils import lxmlize, CanadianLegislator as Legislator
import re
COUNCIL_PAGE = 'http://www.countygp.ab.ca/EN/main/government/council.html'
class GrandePrairieCountyNo1PersonScraper(Scraper):
# @todo The Reeve is also a Councillor.
def get_people(self):
page = lxmlize(COUNCIL_PAGE)
councillors = page.xpath('//table[@class="table-plain"]/tbody/tr/td[2]')
for councillor in councillors:
name = councillor.xpath('./h2')[0].text_content().split('Division')[0]
district = re.findall(r'(Division [0-9])', councillor.xpath('./h2')[0].text_content())[0]
p = Legislator(name=name, post_id=district, role='Councillor')
p.add_source(COUNCIL_PAGE)
image = councillor.xpath('./preceding-sibling::td//img/@src')[0]
p.image = image
address = councillor.xpath('./p[1]')[0].text_content()
email = councillor.xpath('.//a[contains(@href, "mailto:")]')[0].text_content()
p.add_contact('address', address, 'legislature')
p.add_contact('email', email, None)
numbers = councillor.xpath('./p[2]')[0].text_content().replace('Email: ', '').replace(email, '').split(':')
for index, number in enumerate(numbers):
if index == 0:
continue
contact_type = re.findall(r'[A-Za-z]+', numbers[index - 1])[0]
number = re.findall(r'[0-9]{3}.[0-9]{3}.[0-9]{4}', number)[0].replace('.', '-')
if contact_type == 'Fax':
p.add_contact('fax', number, 'legislature')
elif contact_type == 'Cell':
p.add_contact('cell', number, 'legislature')
elif contact_type == 'Hm':
p.add_contact('voice', number, 'residence')
else:
raise Exception('Unrecognized contact type %s' % contact_type)
yield p
|
mit
|
Python
|
9c7dda9f55369109831eb53f4ed1da5fe82cfc7b
|
Fix test for observation_aggregator
|
niboshi/chainer,niboshi/chainer,wkentaro/chainer,pfnet/chainer,hvy/chainer,chainer/chainer,niboshi/chainer,wkentaro/chainer,wkentaro/chainer,wkentaro/chainer,hvy/chainer,niboshi/chainer,hvy/chainer,chainer/chainer,hvy/chainer,chainer/chainer,chainer/chainer
|
tests/chainermn_tests/extensions_tests/test_observation_aggregator.py
|
tests/chainermn_tests/extensions_tests/test_observation_aggregator.py
|
import unittest
import numpy as np
import chainer
import chainer.testing
from chainer.training import extension
import chainermn
from chainermn.extensions.observation_aggregator import observation_aggregator
class DummyChain(chainer.Chain):
def __init__(self):
super(DummyChain, self).__init__()
def forward(self, x):
return chainer.Variable(x, grad=np.array([0]))
class TestObservationAggregator(unittest.TestCase):
def setUp(self):
self.communicator = chainermn.create_communicator('naive')
def test_observation_aggregator(self):
model = DummyChain()
comm = self.communicator
optimizer = chainermn.create_multi_node_optimizer(
chainer.optimizers.Adam(), self.communicator)
optimizer.setup(model)
train = np.random.rand(10, 1)
train_iter = chainer.iterators.SerialIterator(train,
batch_size=1,
repeat=True,
shuffle=True)
updater = chainer.training.StandardUpdater(train_iter, optimizer)
trainer = chainer.training.Trainer(updater, (1, 'epoch'))
@extension.make_extension(
trigger=(2, 'iteration'), priority=extension.PRIORITY_WRITER)
def rank_reporter(trainer):
trainer.observation['rank'] = comm.rank
@extension.make_extension(
trigger=(2, 'iteration'), priority=extension.PRIORITY_READER)
def aggregated_rank_checker(trainer):
actual = trainer.observation['rank-aggregated']
expected = (comm.size - 1) / 2.0
chainer.testing.assert_allclose(actual,
expected)
trainer.extend(rank_reporter)
trainer.extend(observation_aggregator(comm, 'rank', 'rank-aggregated'))
trainer.extend(aggregated_rank_checker)
trainer.run()
|
import unittest
import numpy as np
import chainer
import chainer.testing
from chainer.training import extension
import chainermn
from chainermn.extensions.observation_aggregator import observation_aggregator
class DummyChain(chainer.Chain):
def __init__(self):
super(DummyChain, self).__init__()
def forward(self, x):
return chainer.Variable(x, grad=np.array([0]))
class TestObservationAggregator(unittest.TestCase):
def setUp(self):
self.communicator = chainermn.create_communicator('naive')
def test_observation_aggregator(self):
model = DummyChain()
comm = self.communicator
optimizer = chainermn.create_multi_node_optimizer(
chainer.optimizers.Adam(), self.communicator)
optimizer.setup(model)
train = np.random.rand(10, 1)
train_iter = chainer.iterators.SerialIterator(train,
batch_size=1,
repeat=True,
shuffle=True)
updater = chainer.training.StandardUpdater(train_iter, optimizer)
trainer = chainer.training.Trainer(updater, (1, 'epoch'))
@extension.make_extension(
trigger=(2, 'iteration'), priority=extension.PRIORITY_WRITER)
def rank_reporter(trainer):
trainer.observation['rank'] = comm.rank
@extension.make_extension(
trigger=(2, 'iteration'), priority=extension.PRIORITY_READER)
def aggregated_rank_checker(trainer):
actual = trainer.observation['rank-aggregated']
expected = (comm.size - 1) / 2
chainer.testing.assert_allclose(actual,
expected)
trainer.extend(rank_reporter)
trainer.extend(observation_aggregator(comm, 'rank', 'rank-aggregated'))
trainer.extend(aggregated_rank_checker)
trainer.run()
|
mit
|
Python
|
c3a251588868ace81e8e4e0bbe29828495d759d9
|
fix command line arguments
|
FidoProject/Hardware,FidoProject/Hardware,FidoProject/Hardware,FidoProject/Hardware
|
ThingThree/Code/Dotstar/strandtest.py
|
ThingThree/Code/Dotstar/strandtest.py
|
#!/usr/bin/python
import time, math, sys
from dotstar import Adafruit_DotStar
numPixels = 24
dataPin = 17
clockPin = 27
strip = Adafruit_DotStar(numPixels, dataPin, clockPin)
strip.begin()
strip.setBrightness(255)
def scale(color, brightness):
str_hex = hex(color)[2:].zfill(6)
r,g,b = (int(str_hex[2*x:2*x+2],16)*(brightness/255.0) for x in xrange(3))
return (int(r) << 8) + (int(g) << 16) + int(b)
def pulseFade(color):
for brightness in range(0,255):
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.01)
for brightness in range(255,0,-1):
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.001)
def pulseFromMiddle(color):
for i in range(0,numPixels/2):
strip.setPixelColor(numPixels/2 + i, color);
strip.setPixelColor(numPixels/2 - i, color);
strip.show();
time.sleep(0.02);
for i in range(0,numPixels/2):
strip.setPixelColor(i, 0);
strip.setPixelColor(numPixels-i, 0);
strip.show();
time.sleep(0.02);
def cycle(color=-1):
head = 0
tail = -10
curColor = 0xFF0000 if (color == -1) else color
while True:
strip.setPixelColor(head,curColor)
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
head += 1
if (head >= numPixels):
head = 0
if (color == -1):
curColor >>= 8
if (curColor == 0): curColor = 0xFF0000
tail += 1
if (tail >= numPixels): tail = 0
def pulseCycle(color, cycles):
head = 0
tail = -10
iters = 0
while iters < cycles:
strip.setPixelColor(head,color)
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
head += 1
if (head >= numPixels):
head = 0
iters += 1
tail += 1
if (tail >= numPixels): tail = 0
while tail <= numPixels:
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
tail += 1
def breathe(color):
while True:
millis = int(round(time.time() * 1000))
brightness = (math.exp(math.sin(millis/2000.0*math.pi)) - 0.36787944)*108.0;
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.02)
pulseCycle(int(sys.argv[1],0),int(sys.argv[2]))
|
#!/usr/bin/python
import time, math, sys
from dotstar import Adafruit_DotStar
numPixels = 24
dataPin = 17
clockPin = 27
strip = Adafruit_DotStar(numPixels, dataPin, clockPin)
strip.begin()
strip.setBrightness(255)
def scale(color, brightness):
str_hex = hex(color)[2:].zfill(6)
r,g,b = (int(str_hex[2*x:2*x+2],16)*(brightness/255.0) for x in xrange(3))
return (int(r) << 8) + (int(g) << 16) + int(b)
def pulseFade(color):
for brightness in range(0,255):
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.01)
for brightness in range(255,0,-1):
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.001)
def pulseFromMiddle(color):
for i in range(0,numPixels/2):
strip.setPixelColor(numPixels/2 + i, color);
strip.setPixelColor(numPixels/2 - i, color);
strip.show();
time.sleep(0.02);
for i in range(0,numPixels/2):
strip.setPixelColor(i, 0);
strip.setPixelColor(numPixels-i, 0);
strip.show();
time.sleep(0.02);
def cycle(color=-1):
head = 0
tail = -10
curColor = 0xFF0000 if (color == -1) else color
while True:
strip.setPixelColor(head,curColor)
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
head += 1
if (head >= numPixels):
head = 0
if (color == -1):
curColor >>= 8
if (curColor == 0): curColor = 0xFF0000
tail += 1
if (tail >= numPixels): tail = 0
def pulseCycle(color, cycles):
head = 0
tail = -10
iters = 0
while iters < cycles:
strip.setPixelColor(head,color)
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
head += 1
if (head >= numPixels):
head = 0
iters += 1
tail += 1
if (tail >= numPixels): tail = 0
while tail <= numPixels:
strip.setPixelColor(tail,0)
strip.show()
time.sleep(0.02)
tail += 1
def breathe(color):
while True:
millis = int(round(time.time() * 1000))
brightness = (math.exp(math.sin(millis/2000.0*math.pi)) - 0.36787944)*108.0;
for i in range(0,numPixels):
strip.setPixelColor(i, scale(color,brightness))
strip.show()
time.sleep(0.02)
pulseCycle(int(sys.argv[0],0),int(sys.argv[1]))
|
apache-2.0
|
Python
|
a171595f029b43af27d14a125e68647e2206c6d5
|
Update __init__.py
|
r0h4n/commons,Tendrl/commons
|
tendrl/commons/objects/node_alert_counters/__init__.py
|
tendrl/commons/objects/node_alert_counters/__init__.py
|
from tendrl.commons import objects
class NodeAlertCounters(objects.BaseObject):
def __init__(
self,
warn_count=0,
node_id=None,
*args,
**kwargs
):
super(NodeAlertCounters, self).__init__(*args, **kwargs)
self.warning_count = warn_count
self.node_id = node_id
self.value = '/nodes/{0}/alert_counters'
def render(self):
self.value = self.value.format(self.node_id or NS.node_context.node_id)
return super(NodeAlertCounters, self).render()
def save(self, *args, **kwargs):
NS.tendrl.objects.ClusterNodeAlertCounters(warn_count=self.warning_count,
node_id=self.node_id,
integration_id=NS.tendrl_context.integration_id).save()
super(NodeAlertCounters, self).save(*args, **kwargs)
|
from tendrl.commons import objects
class NodeAlertCounters(objects.BaseObject):
def __init__(
self,
warn_count=0,
node_id=None,
*args,
**kwargs
):
super(NodeAlertCounters, self).__init__(*args, **kwargs)
self.warning_count = warn_count
self.node_id = node_id
self.value = '/nodes/{0}/alert_counters'
def render(self):
self.value = self.value.format(self.node_id or NS.node_context.node_id)
return super(NodeAlertCounters, self).render()
def save(self, *args, **kwargs):
NS.tendrl.objects.ClusterNodeAlertCounters(warn_count=self.warning_count,
node_id=self.node_id).save()
super(NodeAlertCounters, self).save(*args, **kwargs)
|
lgpl-2.1
|
Python
|
dd7e0d18a15195cf67af44af8c15918a5cf068e4
|
add header information
|
changbinwang/bookinfo,changbinwang/bookinfo
|
douban_book_api.py
|
douban_book_api.py
|
from douban_client.api.error import DoubanAPIError
import requests
import simplejson
from douban_client import DoubanClient
__author__ = 'owen2785'
baseurl = 'https://api.douban.com/v2/book/isbn/'
def getbyisbn_without_auth(isbn):
r = requests.get(baseurl+str(isbn),headers=headers)
print r.headers
print r.request.headers
return r.json()
|
from douban_client.api.error import DoubanAPIError
import requests
import simplejson
from douban_client import DoubanClient
__author__ = 'owen2785'
baseurl = 'https://api.douban.com/v2/book/isbn/'
def getbyisbn_without_auth(isbn):
r = requests.get(baseurl+str(isbn))
return r.json()
|
apache-2.0
|
Python
|
396ab20874a0c3492482a8ae03fd7d61980917a5
|
Update closest match adapter docstring.
|
Reinaesaya/OUIRL-ChatBot,vkosuri/ChatterBot,gunthercox/ChatterBot,Gustavo6046/ChatterBot,maclogan/VirtualPenPal,Reinaesaya/OUIRL-ChatBot,davizucon/ChatterBot
|
chatterbot/adapters/logic/closest_match.py
|
chatterbot/adapters/logic/closest_match.py
|
# -*- coding: utf-8 -*-
from fuzzywuzzy import fuzz
from .base_match import BaseMatchAdapter
class ClosestMatchAdapter(BaseMatchAdapter):
"""
The ClosestMatchAdapter logic adapter selects a known response
to an input by searching for a known statement that most closely
matches the input based on the Levenshtein Distance between the text
of each statement.
"""
def get(self, input_statement):
"""
Takes a statement string and a list of statement strings.
Returns the closest matching statement from the list.
"""
statement_list = self.context.storage.get_response_statements()
if not statement_list:
if self.has_storage_context:
# Use a randomly picked statement
self.logger.info(
u'No statements have known responses. ' +
u'Choosing a random response to return.'
)
return 0, self.context.storage.get_random()
else:
raise self.EmptyDatasetException()
confidence = -1
closest_match = input_statement
# Find the closest matching known statement
for statement in statement_list:
ratio = fuzz.ratio(input_statement.text.lower(), statement.text.lower())
if ratio > confidence:
confidence = ratio
closest_match = statement
# Convert the confidence integer to a percent
confidence /= 100.0
return confidence, closest_match
|
# -*- coding: utf-8 -*-
from fuzzywuzzy import fuzz
from .base_match import BaseMatchAdapter
class ClosestMatchAdapter(BaseMatchAdapter):
"""
The ClosestMatchAdapter logic adapter creates a response by
using fuzzywuzzy's process class to extract the most similar
response to the input. This adapter selects a response to an
input statement by selecting the closest known matching
statement based on the Levenshtein Distance between the text
of each statement.
"""
def get(self, input_statement):
"""
Takes a statement string and a list of statement strings.
Returns the closest matching statement from the list.
"""
statement_list = self.context.storage.get_response_statements()
if not statement_list:
if self.has_storage_context:
# Use a randomly picked statement
self.logger.info(
u'No statements have known responses. ' +
u'Choosing a random response to return.'
)
return 0, self.context.storage.get_random()
else:
raise self.EmptyDatasetException()
confidence = -1
closest_match = input_statement
# Find the closest matching known statement
for statement in statement_list:
ratio = fuzz.ratio(input_statement.text.lower(), statement.text.lower())
if ratio > confidence:
confidence = ratio
closest_match = statement
# Convert the confidence integer to a percent
confidence /= 100.0
return confidence, closest_match
|
bsd-3-clause
|
Python
|
2947fe97d466872de05ada289d9172f41895969c
|
Update GOV.UK Frontend/Jinja lib test
|
alphagov/notifications-admin,alphagov/notifications-admin,alphagov/notifications-admin,alphagov/notifications-admin
|
tests/templates/components/test_radios_with_images.py
|
tests/templates/components/test_radios_with_images.py
|
import json
from importlib import metadata
from packaging.version import Version
def test_govuk_frontend_jinja_overrides_on_design_system_v3():
with open("package.json") as package_file:
package_json = json.load(package_file)
govuk_frontend_version = Version(package_json["dependencies"]["govuk-frontend"])
govuk_frontend_jinja_version = Version(metadata.version("govuk-frontend-jinja"))
# This should be checking govuk_frontend_version == 3.14.x, but we're not there yet. Update this when we are.
# Compatibility between these two libs is defined at https://github.com/LandRegistry/govuk-frontend-jinja/
correct_govuk_frontend_version = Version("3.0.0") <= govuk_frontend_version < Version("4.0.0")
correct_govuk_frontend_jinja_version = Version("1.5.0") <= govuk_frontend_jinja_version < Version("1.6.0")
assert correct_govuk_frontend_version and correct_govuk_frontend_jinja_version, (
"After upgrading either of the Design System packages, you must validate that "
"`app/templates/govuk_frontend_jinja_overrides/templates/components/*/template.html`"
"are all structurally-correct and up-to-date macros. If not, update the macros or retire them and update the "
"rendering process."
)
|
import json
def test_govuk_frontend_jinja_overrides_on_design_system_v3():
with open("package.json") as package_file:
package_json = json.load(package_file)
assert package_json["dependencies"]["govuk-frontend"].startswith("3."), (
"After upgrading the Design System, manually validate that "
"`app/templates/govuk_frontend_jinja_overrides/templates/components/*/template.html`"
"are all structurally-correct and up-to-date macros. If not, update the macros or retire them and update the "
"rendering process."
)
|
mit
|
Python
|
f4a80c720d0164eb8a942e3ad1b5244d30800e5a
|
Add --allow-nacl-socket-api for the chromoting functional test.
|
krieger-od/nwjs_chromium.src,markYoungH/chromium.src,dednal/chromium.src,junmin-zhu/chromium-rivertrail,hujiajie/pa-chromium,nacl-webkit/chrome_deps,crosswalk-project/chromium-crosswalk-efl,dushu1203/chromium.src,bright-sparks/chromium-spacewalk,mohamed--abdel-maksoud/chromium.src,Fireblend/chromium-crosswalk,anirudhSK/chromium,axinging/chromium-crosswalk,Chilledheart/chromium,robclark/chromium,junmin-zhu/chromium-rivertrail,Just-D/chromium-1,hujiajie/pa-chromium,markYoungH/chromium.src,Just-D/chromium-1,pozdnyakov/chromium-crosswalk,hujiajie/pa-chromium,robclark/chromium,timopulkkinen/BubbleFish,timopulkkinen/BubbleFish,timopulkkinen/BubbleFish,ChromiumWebApps/chromium,pozdnyakov/chromium-crosswalk,bright-sparks/chromium-spacewalk,Just-D/chromium-1,ltilve/chromium,jaruba/chromium.src,ChromiumWebApps/chromium,anirudhSK/chromium,mohamed--abdel-maksoud/chromium.src,dushu1203/chromium.src,crosswalk-project/chromium-crosswalk-efl,timopulkkinen/BubbleFish,krieger-od/nwjs_chromium.src,ChromiumWebApps/chromium,PeterWangIntel/chromium-crosswalk,zcbenz/cefode-chromium,dushu1203/chromium.src,mogoweb/chromium-crosswalk,keishi/chromium,Jonekee/chromium.src,Chilledheart/chromium,PeterWangIntel/chromium-crosswalk,Chilledheart/chromium,anirudhSK/chromium,TheTypoMaster/chromium-crosswalk,crosswalk-project/chromium-crosswalk-efl,robclark/chromium,axinging/chromium-crosswalk,hgl888/chromium-crosswalk-efl,Jonekee/chromium.src,chuan9/chromium-crosswalk,Pluto-tv/chromium-crosswalk,Pluto-tv/chromium-crosswalk,dednal/chromium.src,chuan9/chromium-crosswalk,Just-D/chromium-1,hujiajie/pa-chromium,fujunwei/chromium-crosswalk,dushu1203/chromium.src,mogoweb/chromium-crosswalk,zcbenz/cefode-chromium,anirudhSK/chromium,pozdnyakov/chromium-crosswalk,ChromiumWebApps/chromium,ltilve/chromium,krieger-od/nwjs_chromium.src,fujunwei/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,zcbenz/cefode-chromium,mohamed--abdel-maksoud/chromium.src,hgl888/chromium-crosswalk-efl,robclark/chromium,anirudhSK/chromium,jaruba/chromium.src,mogoweb/chromium-crosswalk,timopulkkinen/BubbleFish,Chilledheart/chromium,fujunwei/chromium-crosswalk,zcbenz/cefode-chromium,nacl-webkit/chrome_deps,Chilledheart/chromium,bright-sparks/chromium-spacewalk,ondra-novak/chromium.src,hgl888/chromium-crosswalk,Pluto-tv/chromium-crosswalk,mogoweb/chromium-crosswalk,Pluto-tv/chromium-crosswalk,keishi/chromium,pozdnyakov/chromium-crosswalk,hujiajie/pa-chromium,M4sse/chromium.src,jaruba/chromium.src,keishi/chromium,robclark/chromium,patrickm/chromium.src,chuan9/chromium-crosswalk,mogoweb/chromium-crosswalk,Jonekee/chromium.src,markYoungH/chromium.src,mohamed--abdel-maksoud/chromium.src,TheTypoMaster/chromium-crosswalk,zcbenz/cefode-chromium,TheTypoMaster/chromium-crosswalk,patrickm/chromium.src,zcbenz/cefode-chromium,pozdnyakov/chromium-crosswalk,timopulkkinen/BubbleFish,jaruba/chromium.src,nacl-webkit/chrome_deps,fujunwei/chromium-crosswalk,hgl888/chromium-crosswalk,krieger-od/nwjs_chromium.src,bright-sparks/chromium-spacewalk,ChromiumWebApps/chromium,hujiajie/pa-chromium,anirudhSK/chromium,pozdnyakov/chromium-crosswalk,dushu1203/chromium.src,hgl888/chromium-crosswalk-efl,axinging/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,chuan9/chromium-crosswalk,patrickm/chromium.src,littlstar/chromium.src,Fireblend/chromium-crosswalk,Pluto-tv/chromium-crosswalk,axinging/chromium-crosswalk,pozdnyakov/chromium-crosswalk,ltilve/chromium,patrickm/chromium.src,Pluto-tv/chromium-crosswalk,axinging/chromium-crosswalk,krieger-od/nwjs_chromium.src,timopulkkinen/BubbleFish,patrickm/chromium.src,nacl-webkit/chrome_deps,axinging/chromium-crosswalk,ondra-novak/chromium.src,zcbenz/cefode-chromium,junmin-zhu/chromium-rivertrail,hgl888/chromium-crosswalk,hgl888/chromium-crosswalk,anirudhSK/chromium,hujiajie/pa-chromium,ChromiumWebApps/chromium,littlstar/chromium.src,timopulkkinen/BubbleFish,littlstar/chromium.src,Fireblend/chromium-crosswalk,Chilledheart/chromium,markYoungH/chromium.src,nacl-webkit/chrome_deps,anirudhSK/chromium,chuan9/chromium-crosswalk,ondra-novak/chromium.src,ltilve/chromium,dednal/chromium.src,markYoungH/chromium.src,ChromiumWebApps/chromium,keishi/chromium,Fireblend/chromium-crosswalk,junmin-zhu/chromium-rivertrail,ChromiumWebApps/chromium,hgl888/chromium-crosswalk,ChromiumWebApps/chromium,M4sse/chromium.src,dednal/chromium.src,keishi/chromium,zcbenz/cefode-chromium,junmin-zhu/chromium-rivertrail,ondra-novak/chromium.src,hgl888/chromium-crosswalk-efl,TheTypoMaster/chromium-crosswalk,hgl888/chromium-crosswalk-efl,crosswalk-project/chromium-crosswalk-efl,mohamed--abdel-maksoud/chromium.src,crosswalk-project/chromium-crosswalk-efl,jaruba/chromium.src,ltilve/chromium,dushu1203/chromium.src,fujunwei/chromium-crosswalk,M4sse/chromium.src,markYoungH/chromium.src,mohamed--abdel-maksoud/chromium.src,nacl-webkit/chrome_deps,bright-sparks/chromium-spacewalk,zcbenz/cefode-chromium,krieger-od/nwjs_chromium.src,Jonekee/chromium.src,Just-D/chromium-1,fujunwei/chromium-crosswalk,ltilve/chromium,M4sse/chromium.src,timopulkkinen/BubbleFish,patrickm/chromium.src,keishi/chromium,junmin-zhu/chromium-rivertrail,Jonekee/chromium.src,crosswalk-project/chromium-crosswalk-efl,axinging/chromium-crosswalk,M4sse/chromium.src,hgl888/chromium-crosswalk-efl,PeterWangIntel/chromium-crosswalk,Jonekee/chromium.src,chuan9/chromium-crosswalk,chuan9/chromium-crosswalk,markYoungH/chromium.src,hgl888/chromium-crosswalk-efl,junmin-zhu/chromium-rivertrail,TheTypoMaster/chromium-crosswalk,Pluto-tv/chromium-crosswalk,ltilve/chromium,keishi/chromium,dednal/chromium.src,mogoweb/chromium-crosswalk,pozdnyakov/chromium-crosswalk,M4sse/chromium.src,mohamed--abdel-maksoud/chromium.src,ondra-novak/chromium.src,ondra-novak/chromium.src,PeterWangIntel/chromium-crosswalk,chuan9/chromium-crosswalk,Chilledheart/chromium,crosswalk-project/chromium-crosswalk-efl,mogoweb/chromium-crosswalk,dushu1203/chromium.src,Pluto-tv/chromium-crosswalk,dednal/chromium.src,robclark/chromium,dednal/chromium.src,M4sse/chromium.src,M4sse/chromium.src,ChromiumWebApps/chromium,nacl-webkit/chrome_deps,fujunwei/chromium-crosswalk,Jonekee/chromium.src,dushu1203/chromium.src,robclark/chromium,ChromiumWebApps/chromium,littlstar/chromium.src,Chilledheart/chromium,nacl-webkit/chrome_deps,hgl888/chromium-crosswalk-efl,littlstar/chromium.src,Fireblend/chromium-crosswalk,dednal/chromium.src,patrickm/chromium.src,Just-D/chromium-1,Jonekee/chromium.src,jaruba/chromium.src,dushu1203/chromium.src,junmin-zhu/chromium-rivertrail,axinging/chromium-crosswalk,M4sse/chromium.src,dednal/chromium.src,krieger-od/nwjs_chromium.src,krieger-od/nwjs_chromium.src,patrickm/chromium.src,Fireblend/chromium-crosswalk,ondra-novak/chromium.src,markYoungH/chromium.src,hujiajie/pa-chromium,anirudhSK/chromium,Jonekee/chromium.src,ChromiumWebApps/chromium,robclark/chromium,PeterWangIntel/chromium-crosswalk,pozdnyakov/chromium-crosswalk,anirudhSK/chromium,bright-sparks/chromium-spacewalk,markYoungH/chromium.src,chuan9/chromium-crosswalk,axinging/chromium-crosswalk,hgl888/chromium-crosswalk,ltilve/chromium,PeterWangIntel/chromium-crosswalk,Jonekee/chromium.src,keishi/chromium,hujiajie/pa-chromium,M4sse/chromium.src,pozdnyakov/chromium-crosswalk,littlstar/chromium.src,krieger-od/nwjs_chromium.src,patrickm/chromium.src,keishi/chromium,jaruba/chromium.src,ondra-novak/chromium.src,mohamed--abdel-maksoud/chromium.src,keishi/chromium,dednal/chromium.src,Chilledheart/chromium,littlstar/chromium.src,crosswalk-project/chromium-crosswalk-efl,Fireblend/chromium-crosswalk,zcbenz/cefode-chromium,TheTypoMaster/chromium-crosswalk,dushu1203/chromium.src,zcbenz/cefode-chromium,hgl888/chromium-crosswalk,Just-D/chromium-1,ondra-novak/chromium.src,Fireblend/chromium-crosswalk,mogoweb/chromium-crosswalk,hgl888/chromium-crosswalk,fujunwei/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,markYoungH/chromium.src,axinging/chromium-crosswalk,timopulkkinen/BubbleFish,mohamed--abdel-maksoud/chromium.src,dushu1203/chromium.src,hgl888/chromium-crosswalk-efl,bright-sparks/chromium-spacewalk,Pluto-tv/chromium-crosswalk,Just-D/chromium-1,hgl888/chromium-crosswalk,Fireblend/chromium-crosswalk,mogoweb/chromium-crosswalk,krieger-od/nwjs_chromium.src,jaruba/chromium.src,nacl-webkit/chrome_deps,mogoweb/chromium-crosswalk,mohamed--abdel-maksoud/chromium.src,keishi/chromium,M4sse/chromium.src,junmin-zhu/chromium-rivertrail,Just-D/chromium-1,TheTypoMaster/chromium-crosswalk,crosswalk-project/chromium-crosswalk-efl,littlstar/chromium.src,hgl888/chromium-crosswalk-efl,jaruba/chromium.src,ltilve/chromium,robclark/chromium,timopulkkinen/BubbleFish,pozdnyakov/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,nacl-webkit/chrome_deps,hujiajie/pa-chromium,anirudhSK/chromium,bright-sparks/chromium-spacewalk,markYoungH/chromium.src,dednal/chromium.src,axinging/chromium-crosswalk,jaruba/chromium.src,mohamed--abdel-maksoud/chromium.src,junmin-zhu/chromium-rivertrail,Jonekee/chromium.src,nacl-webkit/chrome_deps,bright-sparks/chromium-spacewalk,hujiajie/pa-chromium,jaruba/chromium.src,robclark/chromium,fujunwei/chromium-crosswalk,anirudhSK/chromium,PeterWangIntel/chromium-crosswalk,krieger-od/nwjs_chromium.src,junmin-zhu/chromium-rivertrail
|
chrome/test/functional/chromoting_basic.py
|
chrome/test/functional/chromoting_basic.py
|
#!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import pyauto_functional # Must come before chromoting and pyauto.
import chromoting
import pyauto
class ChromotingBasic(chromoting.ChromotingMixIn, pyauto.PyUITest):
"""Basic tests for Chromoting."""
_EXTRA_CHROME_FLAGS = [
'--allow-nacl-socket-api=*',
]
def ExtraChromeFlags(self):
"""Ensures Chrome is launched with some custom flags.
Overrides the default list of extra flags passed to Chrome. See
ExtraChromeFlags() in pyauto.py.
"""
return pyauto.PyUITest.ExtraChromeFlags(self) + self._EXTRA_CHROME_FLAGS
def setUp(self):
"""Set up test for Chromoting on both local and remote machines.
Installs the Chromoting app, launches it, and authenticates
using the default Chromoting test account.
"""
super(ChromotingBasic, self).setUp()
self._app = self.InstallExtension(self.GetWebappPath())
self.LaunchApp(self._app)
account = self.GetPrivateInfo()['test_chromoting_account']
self.Authenticate(account['username'], account['password'])
def testChromoting(self):
"""Verify that we can start and disconnect from a Chromoting session."""
client_local = (self.remote == None)
host = self
client = self if client_local else self.remote
client_tab_index = 2 if client_local else 1
access_code = host.Share()
self.assertTrue(access_code,
msg='Host attempted to share, but it failed. '
'No access code was found.')
if client_local:
client.LaunchApp(self._app)
self.assertTrue(client.Connect(access_code, client_tab_index),
msg='The client attempted to connect to the host, '
'but the chromoting session did not start.')
host.CancelShare()
client.Disconnect(client_tab_index)
if __name__ == '__main__':
pyauto_functional.Main()
|
#!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import pyauto_functional # Must come before chromoting and pyauto.
import chromoting
import pyauto
class ChromotingBasic(chromoting.ChromotingMixIn, pyauto.PyUITest):
"""Basic tests for Chromoting."""
def setUp(self):
"""Set up test for Chromoting on both local and remote machines.
Installs the Chromoting app, launches it, and authenticates
using the default Chromoting test account.
"""
super(ChromotingBasic, self).setUp()
self._app = self.InstallExtension(self.GetWebappPath())
self.LaunchApp(self._app)
account = self.GetPrivateInfo()['test_chromoting_account']
self.Authenticate(account['username'], account['password'])
def testChromoting(self):
"""Verify that we can start and disconnect from a Chromoting session."""
client_local = (self.remote == None)
host = self
client = self if client_local else self.remote
client_tab_index = 2 if client_local else 1
access_code = host.Share()
self.assertTrue(access_code,
msg='Host attempted to share, but it failed. '
'No access code was found.')
if client_local:
client.LaunchApp(self._app)
self.assertTrue(client.Connect(access_code, client_tab_index),
msg='The client attempted to connect to the host, '
'but the chromoting session did not start.')
host.CancelShare()
client.Disconnect(client_tab_index)
if __name__ == '__main__':
pyauto_functional.Main()
|
bsd-3-clause
|
Python
|
0b366a3f4c23b644f885ed649edc577242ae90ee
|
Fix genreflex rootmap files to not contain stray spaces after "string" Corrsponds to v5-22-00-patches r27408
|
karies/root,thomaskeck/root,mkret2/root,sawenzel/root,smarinac/root,0x0all/ROOT,mhuwiler/rootauto,zzxuanyuan/root-compressor-dummy,Duraznos/root,krafczyk/root,beniz/root,mhuwiler/rootauto,strykejern/TTreeReader,vukasinmilosevic/root,arch1tect0r/root,sbinet/cxx-root,lgiommi/root,omazapa/root,esakellari/my_root_for_test,thomaskeck/root,evgeny-boger/root,simonpf/root,Duraznos/root,omazapa/root,sirinath/root,mhuwiler/rootauto,krafczyk/root,arch1tect0r/root,georgtroska/root,gganis/root,perovic/root,CristinaCristescu/root,beniz/root,olifre/root,zzxuanyuan/root-compressor-dummy,jrtomps/root,zzxuanyuan/root-compressor-dummy,dfunke/root,omazapa/root-old,agarciamontoro/root,cxx-hep/root-cern,pspe/root,gganis/root,sawenzel/root,esakellari/root,beniz/root,nilqed/root,jrtomps/root,omazapa/root-old,beniz/root,krafczyk/root,tc3t/qoot,perovic/root,root-mirror/root,sbinet/cxx-root,ffurano/root5,abhinavmoudgil95/root,davidlt/root,veprbl/root,abhinavmoudgil95/root,sawenzel/root,thomaskeck/root,omazapa/root-old,Dr15Jones/root,agarciamontoro/root,0x0all/ROOT,esakellari/root,gbitzes/root,davidlt/root,CristinaCristescu/root,smarinac/root,Duraznos/root,lgiommi/root,arch1tect0r/root,alexschlueter/cern-root,sirinath/root,sbinet/cxx-root,abhinavmoudgil95/root,nilqed/root,CristinaCristescu/root,simonpf/root,abhinavmoudgil95/root,arch1tect0r/root,Duraznos/root,cxx-hep/root-cern,nilqed/root,mkret2/root,CristinaCristescu/root,root-mirror/root,karies/root,thomaskeck/root,evgeny-boger/root,smarinac/root,ffurano/root5,georgtroska/root,Y--/root,simonpf/root,evgeny-boger/root,root-mirror/root,omazapa/root-old,beniz/root,mattkretz/root,vukasinmilosevic/root,arch1tect0r/root,sawenzel/root,mkret2/root,agarciamontoro/root,bbockelm/root,alexschlueter/cern-root,arch1tect0r/root,olifre/root,omazapa/root-old,pspe/root,georgtroska/root,olifre/root,thomaskeck/root,abhinavmoudgil95/root,Y--/root,smarinac/root,omazapa/root,BerserkerTroll/root,esakellari/root,mattkretz/root,perovic/root,krafczyk/root,zzxuanyuan/root-compressor-dummy,cxx-hep/root-cern,sbinet/cxx-root,esakellari/my_root_for_test,kirbyherm/root-r-tools,perovic/root,zzxuanyuan/root-compressor-dummy,0x0all/ROOT,krafczyk/root,agarciamontoro/root,zzxuanyuan/root,esakellari/my_root_for_test,bbockelm/root,mhuwiler/rootauto,satyarth934/root,kirbyherm/root-r-tools,gganis/root,krafczyk/root,vukasinmilosevic/root,buuck/root,beniz/root,simonpf/root,beniz/root,georgtroska/root,beniz/root,ffurano/root5,jrtomps/root,agarciamontoro/root,evgeny-boger/root,Dr15Jones/root,root-mirror/root,lgiommi/root,esakellari/root,simonpf/root,sirinath/root,zzxuanyuan/root,jrtomps/root,tc3t/qoot,CristinaCristescu/root,omazapa/root,agarciamontoro/root,buuck/root,karies/root,zzxuanyuan/root-compressor-dummy,simonpf/root,vukasinmilosevic/root,zzxuanyuan/root,Duraznos/root,mattkretz/root,Y--/root,mkret2/root,simonpf/root,zzxuanyuan/root,lgiommi/root,sirinath/root,veprbl/root,gbitzes/root,dfunke/root,BerserkerTroll/root,mhuwiler/rootauto,smarinac/root,Duraznos/root,Y--/root,mkret2/root,zzxuanyuan/root-compressor-dummy,CristinaCristescu/root,nilqed/root,nilqed/root,gganis/root,mattkretz/root,zzxuanyuan/root-compressor-dummy,CristinaCristescu/root,olifre/root,Dr15Jones/root,evgeny-boger/root,smarinac/root,esakellari/root,vukasinmilosevic/root,sbinet/cxx-root,agarciamontoro/root,sirinath/root,bbockelm/root,thomaskeck/root,simonpf/root,omazapa/root,perovic/root,pspe/root,ffurano/root5,Y--/root,olifre/root,CristinaCristescu/root,beniz/root,BerserkerTroll/root,gbitzes/root,root-mirror/root,satyarth934/root,jrtomps/root,beniz/root,zzxuanyuan/root-compressor-dummy,satyarth934/root,Y--/root,satyarth934/root,olifre/root,gganis/root,mkret2/root,krafczyk/root,davidlt/root,krafczyk/root,tc3t/qoot,jrtomps/root,abhinavmoudgil95/root,Dr15Jones/root,karies/root,satyarth934/root,georgtroska/root,CristinaCristescu/root,bbockelm/root,tc3t/qoot,esakellari/my_root_for_test,BerserkerTroll/root,sirinath/root,zzxuanyuan/root,zzxuanyuan/root,pspe/root,zzxuanyuan/root,dfunke/root,krafczyk/root,davidlt/root,esakellari/root,bbockelm/root,nilqed/root,strykejern/TTreeReader,karies/root,sawenzel/root,root-mirror/root,Dr15Jones/root,esakellari/root,root-mirror/root,lgiommi/root,karies/root,kirbyherm/root-r-tools,omazapa/root-old,pspe/root,alexschlueter/cern-root,satyarth934/root,Y--/root,strykejern/TTreeReader,evgeny-boger/root,mkret2/root,tc3t/qoot,BerserkerTroll/root,simonpf/root,davidlt/root,krafczyk/root,sawenzel/root,buuck/root,pspe/root,Y--/root,georgtroska/root,evgeny-boger/root,Dr15Jones/root,zzxuanyuan/root,kirbyherm/root-r-tools,BerserkerTroll/root,mattkretz/root,pspe/root,beniz/root,georgtroska/root,sbinet/cxx-root,ffurano/root5,root-mirror/root,dfunke/root,esakellari/my_root_for_test,mhuwiler/rootauto,davidlt/root,abhinavmoudgil95/root,arch1tect0r/root,bbockelm/root,abhinavmoudgil95/root,georgtroska/root,sawenzel/root,zzxuanyuan/root,omazapa/root-old,omazapa/root,omazapa/root-old,bbockelm/root,pspe/root,mattkretz/root,buuck/root,esakellari/my_root_for_test,gbitzes/root,0x0all/ROOT,root-mirror/root,esakellari/my_root_for_test,simonpf/root,lgiommi/root,mattkretz/root,abhinavmoudgil95/root,sirinath/root,kirbyherm/root-r-tools,esakellari/root,alexschlueter/cern-root,buuck/root,thomaskeck/root,esakellari/my_root_for_test,karies/root,dfunke/root,omazapa/root-old,lgiommi/root,gbitzes/root,root-mirror/root,0x0all/ROOT,sirinath/root,gbitzes/root,satyarth934/root,strykejern/TTreeReader,satyarth934/root,cxx-hep/root-cern,bbockelm/root,BerserkerTroll/root,bbockelm/root,bbockelm/root,arch1tect0r/root,veprbl/root,agarciamontoro/root,evgeny-boger/root,karies/root,perovic/root,BerserkerTroll/root,tc3t/qoot,tc3t/qoot,mkret2/root,CristinaCristescu/root,karies/root,nilqed/root,georgtroska/root,veprbl/root,esakellari/root,dfunke/root,simonpf/root,satyarth934/root,satyarth934/root,tc3t/qoot,nilqed/root,gbitzes/root,veprbl/root,tc3t/qoot,kirbyherm/root-r-tools,sirinath/root,vukasinmilosevic/root,gbitzes/root,vukasinmilosevic/root,sawenzel/root,veprbl/root,omazapa/root,veprbl/root,zzxuanyuan/root-compressor-dummy,esakellari/root,mkret2/root,0x0all/ROOT,davidlt/root,Duraznos/root,mattkretz/root,mkret2/root,gganis/root,dfunke/root,tc3t/qoot,smarinac/root,lgiommi/root,Duraznos/root,CristinaCristescu/root,gganis/root,evgeny-boger/root,0x0all/ROOT,buuck/root,lgiommi/root,jrtomps/root,mattkretz/root,zzxuanyuan/root-compressor-dummy,davidlt/root,sbinet/cxx-root,jrtomps/root,buuck/root,omazapa/root,gbitzes/root,gganis/root,mkret2/root,veprbl/root,Dr15Jones/root,thomaskeck/root,sawenzel/root,agarciamontoro/root,omazapa/root-old,perovic/root,arch1tect0r/root,sbinet/cxx-root,smarinac/root,nilqed/root,mattkretz/root,pspe/root,agarciamontoro/root,olifre/root,Duraznos/root,BerserkerTroll/root,pspe/root,esakellari/my_root_for_test,ffurano/root5,veprbl/root,BerserkerTroll/root,olifre/root,sbinet/cxx-root,georgtroska/root,mhuwiler/rootauto,veprbl/root,jrtomps/root,Duraznos/root,gbitzes/root,alexschlueter/cern-root,strykejern/TTreeReader,dfunke/root,cxx-hep/root-cern,dfunke/root,cxx-hep/root-cern,mhuwiler/rootauto,nilqed/root,mattkretz/root,smarinac/root,perovic/root,georgtroska/root,omazapa/root-old,arch1tect0r/root,olifre/root,veprbl/root,buuck/root,perovic/root,arch1tect0r/root,omazapa/root,gganis/root,satyarth934/root,esakellari/root,jrtomps/root,davidlt/root,sirinath/root,nilqed/root,olifre/root,0x0all/ROOT,sawenzel/root,omazapa/root,krafczyk/root,evgeny-boger/root,karies/root,alexschlueter/cern-root,jrtomps/root,omazapa/root,cxx-hep/root-cern,dfunke/root,agarciamontoro/root,vukasinmilosevic/root,mhuwiler/rootauto,karies/root,vukasinmilosevic/root,root-mirror/root,strykejern/TTreeReader,buuck/root,esakellari/my_root_for_test,abhinavmoudgil95/root,vukasinmilosevic/root,kirbyherm/root-r-tools,BerserkerTroll/root,mhuwiler/rootauto,Duraznos/root,sbinet/cxx-root,mhuwiler/rootauto,thomaskeck/root,gganis/root,ffurano/root5,zzxuanyuan/root,perovic/root,buuck/root,thomaskeck/root,olifre/root,bbockelm/root,perovic/root,0x0all/ROOT,sawenzel/root,evgeny-boger/root,gbitzes/root,pspe/root,Y--/root,cxx-hep/root-cern,zzxuanyuan/root,lgiommi/root,Y--/root,vukasinmilosevic/root,zzxuanyuan/root,smarinac/root,buuck/root,sirinath/root,alexschlueter/cern-root,davidlt/root,Y--/root,dfunke/root,abhinavmoudgil95/root,davidlt/root,lgiommi/root,gganis/root,strykejern/TTreeReader,sbinet/cxx-root
|
cint/reflex/python/genreflex/genrootmap.py
|
cint/reflex/python/genreflex/genrootmap.py
|
# Copyright CERN, CH-1211 Geneva 23, 2004-2006, All rights reserved.
#
# Permission to use, copy, modify, and distribute this software for any
# purpose is hereby granted without fee, provided that this copyright and
# permissions notice appear in all copies and derivatives.
#
# This software is provided "as is" without express or implied warranty.
import os, sys, string, re
model = """
# This file has been generated by genreflex with the --rootmap option
#--Final End
"""
#----------------------------------------------------------------------------------
def isRootmapVetoed(c) :
if c.has_key('extra') and 'rootmap' in c['extra'] :
rootmapsel = c['extra']['rootmap'].lower()
return (rootmapsel == 'false' or rootmapsel == '0')
return False
#----------------------------------------------------------------------------------
def genRootMap(mapfile, dicfile, libfile, cnames, classes) :
startmark = '#--Begin ' + dicfile + '\n'
endmark = '#--End ' + dicfile + '\n'
finalmark = '#--Final End\n'
transtable = string.maketrans(': ', '@-')
transtable = string.maketrans(': ', '@-')
for c in classes :
c['fullname'] = c.get('fullname', c['name'])
# filter out classes that were de-selected by rootmap attribute
cveto = filter( lambda c: isRootmapVetoed(c),classes)
for cv in cveto :
cvname = cv['fullname']
# not all cvname have to be in cnames, cname could have been excluded
if cvname in cnames:
cnames.remove(cvname)
new_lines = []
if libfile.rfind('/') != -1 : libfile = libfile[libfile.rfind('/')+1:]
for c in cnames :
nc = string.translate(str(c), transtable)
# also remove possible seperator ' ', or set<basic_string<char> > becomes set<string >
nc = re.sub(r"\bstd@@basic_string<char>-?", 'string', nc)
nc = re.sub(r"\bstd@@", '', nc)
nc = nc.replace(' ','')
new_lines += '%-45s %s\n' % ('Library.' + nc + ':', libfile )
if not os.path.exists(mapfile) :
lines = [ line+'\n' for line in model.split('\n')]
else :
f = open(mapfile,'r')
lines = [ line for line in f.readlines()]
f.close()
if startmark in lines and endmark in lines :
lines[lines.index(startmark)+1 : lines.index(endmark)] = new_lines
else :
lines[lines.index(finalmark):lines.index(finalmark)] = [startmark]+new_lines+[endmark]
f = open(mapfile,'w')
f.writelines(lines)
f.close()
|
# Copyright CERN, CH-1211 Geneva 23, 2004-2006, All rights reserved.
#
# Permission to use, copy, modify, and distribute this software for any
# purpose is hereby granted without fee, provided that this copyright and
# permissions notice appear in all copies and derivatives.
#
# This software is provided "as is" without express or implied warranty.
import os, sys, string, re
model = """
# This file has been generated by genreflex with the --rootmap option
#--Final End
"""
#----------------------------------------------------------------------------------
def isRootmapVetoed(c) :
if c.has_key('extra') and 'rootmap' in c['extra'] :
rootmapsel = c['extra']['rootmap'].lower()
return (rootmapsel == 'false' or rootmapsel == '0')
return False
#----------------------------------------------------------------------------------
def genRootMap(mapfile, dicfile, libfile, cnames, classes) :
startmark = '#--Begin ' + dicfile + '\n'
endmark = '#--End ' + dicfile + '\n'
finalmark = '#--Final End\n'
transtable = string.maketrans(': ', '@-')
transtable = string.maketrans(': ', '@-')
for c in classes :
c['fullname'] = c.get('fullname', c['name'])
# filter out classes that were de-selected by rootmap attribute
cveto = filter( lambda c: isRootmapVetoed(c),classes)
for cv in cveto :
cvname = cv['fullname']
# not all cvname have to be in cnames, cname could have been excluded
if cvname in cnames:
cnames.remove(cvname)
new_lines = []
if libfile.rfind('/') != -1 : libfile = libfile[libfile.rfind('/')+1:]
for c in cnames :
nc = string.translate(str(c), transtable)
nc = re.sub(r"\bstd@@basic_string<char>", 'string', nc)
nc = re.sub(r"\bstd@@", '', nc)
nc = nc.replace(' ','')
new_lines += '%-45s %s\n' % ('Library.' + nc + ':', libfile )
if not os.path.exists(mapfile) :
lines = [ line+'\n' for line in model.split('\n')]
else :
f = open(mapfile,'r')
lines = [ line for line in f.readlines()]
f.close()
if startmark in lines and endmark in lines :
lines[lines.index(startmark)+1 : lines.index(endmark)] = new_lines
else :
lines[lines.index(finalmark):lines.index(finalmark)] = [startmark]+new_lines+[endmark]
f = open(mapfile,'w')
f.writelines(lines)
f.close()
|
lgpl-2.1
|
Python
|
b2e6a7a8df1ede0118838ce494e1679eea0eb578
|
Decrease cert expiration alerting threshold from 2 years to 1 year. (#1002)
|
scalyr/scalyr-agent-2,scalyr/scalyr-agent-2,scalyr/scalyr-agent-2,scalyr/scalyr-agent-2
|
scripts/check-bundled-ca-certs-expirations.py
|
scripts/check-bundled-ca-certs-expirations.py
|
#!/usr/bin/env python
# Copyright 2014-2020 Scalyr Inc.
#
# 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.
"""
Script which errors out if any of the bundled certs will expire in 24 months or sooner.
"""
from __future__ import absolute_import
from __future__ import print_function
if False:
from typing import List
import os
import glob
import datetime
from io import open
from cryptography import x509
from cryptography.hazmat.backends import default_backend
# By default we fail if any of the bundled cert expires in 1 year or sooner
DEFAULT_EXPIRE_THRESHOLD_TIMEDELTA = datetime.timedelta(days=(12 * 30 * 1))
def fail_if_cert_expires_in_timedelta(cert_path, expire_in_threshold_timedelta):
# type: (str, datetime.timedelta) -> None
"""
Fail and throw an exception if the provided certificate expires in the provided timedelta period
or sooner.
"""
with open(cert_path, "rb") as fp:
content = fp.read()
cert = x509.load_pem_x509_certificate(content, default_backend())
now_dt = datetime.datetime.utcnow()
expire_in_days = (cert.not_valid_after - now_dt).days
if now_dt + expire_in_threshold_timedelta >= cert.not_valid_after:
raise Exception(
(
"Certificate %s will expire in %s days (%s), please update!"
% (cert_path, expire_in_days, cert.not_valid_after)
)
)
else:
print(
"OK - certificate %s will expire in %s days (%s)"
% (cert_path, expire_in_days, cert.not_valid_after)
)
def get_bundled_cert_paths():
# type: () -> List[str]
"""
Return full absolute paths for all the bundled certs.
"""
cwd = os.path.abspath(os.getcwd())
result = []
for file_name in glob.glob("certs/*"):
file_path = os.path.join(cwd, file_name)
result.append(file_path)
return result
def main():
cert_paths = get_bundled_cert_paths()
for cert_path in cert_paths:
fail_if_cert_expires_in_timedelta(
cert_path, expire_in_threshold_timedelta=DEFAULT_EXPIRE_THRESHOLD_TIMEDELTA
)
if __name__ == "__main__":
main()
|
#!/usr/bin/env python
# Copyright 2014-2020 Scalyr Inc.
#
# 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.
"""
Script which errors out if any of the bundled certs will expire in 24 months or sooner.
"""
from __future__ import absolute_import
from __future__ import print_function
if False:
from typing import List
import os
import glob
import datetime
from io import open
from cryptography import x509
from cryptography.hazmat.backends import default_backend
# By default we fail if any of the bundled cert expires in 2 years or sooner
DEFAULT_EXPIRE_THRESHOLD_TIMEDELTA = datetime.timedelta(days=(12 * 30 * 2))
def fail_if_cert_expires_in_timedelta(cert_path, expire_in_threshold_timedelta):
# type: (str, datetime.timedelta) -> None
"""
Fail and throw an exception if the provided certificate expires in the provided timedelta period
or sooner.
"""
with open(cert_path, "rb") as fp:
content = fp.read()
cert = x509.load_pem_x509_certificate(content, default_backend())
now_dt = datetime.datetime.utcnow()
expire_in_days = (cert.not_valid_after - now_dt).days
if now_dt + expire_in_threshold_timedelta >= cert.not_valid_after:
raise Exception(
(
"Certificate %s will expire in %s days (%s), please update!"
% (cert_path, expire_in_days, cert.not_valid_after)
)
)
else:
print(
"OK - certificate %s will expire in %s days (%s)"
% (cert_path, expire_in_days, cert.not_valid_after)
)
def get_bundled_cert_paths():
# type: () -> List[str]
"""
Return full absolute paths for all the bundled certs.
"""
cwd = os.path.abspath(os.getcwd())
result = []
for file_name in glob.glob("certs/*"):
file_path = os.path.join(cwd, file_name)
result.append(file_path)
return result
def main():
cert_paths = get_bundled_cert_paths()
for cert_path in cert_paths:
fail_if_cert_expires_in_timedelta(
cert_path, expire_in_threshold_timedelta=DEFAULT_EXPIRE_THRESHOLD_TIMEDELTA
)
if __name__ == "__main__":
main()
|
apache-2.0
|
Python
|
1be539f68019435b2d09b1a46e4786a09e59edf2
|
Allow for multiple SEPA payment methods with different versions (#493) (#496)
|
CompassionCH/bank-payment,CompassionCH/bank-payment
|
account_banking_pain_base/models/account_payment_method.py
|
account_banking_pain_base/models/account_payment_method.py
|
# -*- coding: utf-8 -*-
# © 2016 Akretion (Alexis de Lattre <[email protected]>)
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
from odoo import models, fields, api, _
from odoo.exceptions import UserError
class AccountPaymentMethod(models.Model):
_inherit = 'account.payment.method'
pain_version = fields.Selection([], string='PAIN Version')
convert_to_ascii = fields.Boolean(
string='Convert to ASCII', default=True,
help="If active, Odoo will convert each accented character to "
"the corresponding unaccented character, so that only ASCII "
"characters are used in the generated PAIN file.")
@api.multi
def get_xsd_file_path(self):
"""This method is designed to be inherited in the SEPA modules"""
self.ensure_one()
raise UserError(_(
"No XSD file path found for payment method '%s'") % self.name)
_sql_constraints = [(
# Extending this constraint from account_payment_mode
'code_payment_type_unique',
'unique(code, payment_type, pain_version)',
'A payment method of the same type already exists with this code'
' and PAIN version'
)]
|
# -*- coding: utf-8 -*-
# © 2016 Akretion (Alexis de Lattre <[email protected]>)
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
from odoo import models, fields, api, _
from odoo.exceptions import UserError
class AccountPaymentMethod(models.Model):
_inherit = 'account.payment.method'
pain_version = fields.Selection([], string='PAIN Version')
convert_to_ascii = fields.Boolean(
string='Convert to ASCII', default=True,
help="If active, Odoo will convert each accented character to "
"the corresponding unaccented character, so that only ASCII "
"characters are used in the generated PAIN file.")
@api.multi
def get_xsd_file_path(self):
"""This method is designed to be inherited in the SEPA modules"""
self.ensure_one()
raise UserError(_(
"No XSD file path found for payment method '%s'") % self.name)
|
agpl-3.0
|
Python
|
4697bb9bb7a3708f1c35b795c02db329d3142703
|
Add script to collect metrics in samples of a case into a single vector
|
jesusbriales/rgbd_benchmark_tools
|
src/rgbd_benchmark_tools/h5_collectSamples.py
|
src/rgbd_benchmark_tools/h5_collectSamples.py
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 17 09:02:31 2015
@author: jesus
"""
import argparse
import numpy as np
import h5py
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='''
This script collects the metrics and results from several samples of an experiment into its parent group.
''')
parser.add_argument('h5file', help='HDF5 file in which the metrics are stored in the group eval for each sample')
parser.add_argument('group', help='H5 path of the main group containing sample minor groups')
parser.add_argument('delta_unit', help='delta_unit of the metrics to collect')
args = parser.parse_args()
h5f = h5py.File(args.h5file,'a')
unit = args.delta_unit
# Save the evaluation metric values in the samples' parent group
main_group = h5f[args.group]
# Check if eval group already exists in the main group
if 'eval/'+unit in main_group:
print "Removing existing eval/"+unit + " group in" + main_group.name
del main_group['eval/'+unit]
numOfSamples = len(main_group)
# Create new eval group in the main group
samples = main_group.keys()
samples = [x for x in samples if x != 'eval']
eval_group = main_group.require_group('eval/'+unit)
names = ['rmse','median','mean','max']
for name in names:
# Preallocate arrays
t_arr = np.empty(numOfSamples)
r_arr = np.empty(numOfSamples)
# Store metrics in sample in an array
for i, sample in enumerate(samples):
t_arr[i] = main_group[sample+'/eval/'+unit+'/t_'+name][()]
r_arr[i] = main_group[sample+'/eval/'+unit+'/r_'+name][()]
# Check if dataset already exists in the group
if 't_'+name in eval_group:
print "Removing existing trans dataset in " + eval_group.name
del eval_group['t_'+name]
if 'r_'+name in eval_group:
print "Removing existing rot dataset in " + eval_group.name
del eval_group['r_'+name]
# Save as a new dataset in the main group
eval_group.create_dataset('t_'+name, data=t_arr)
eval_group.create_dataset('r_'+name, data=r_arr)
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 17 09:02:31 2015
@author: jesus
"""
import argparse
import numpy as np
import h5py
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='''
This script collects the metrics and results from several samples of an experiment into its parent group.
''')
parser.add_argument('h5file', help='HDF5 file in which the metrics are stored in the group eval for each sample')
parser.add_argument('group', help='H5 path of the main group containing sample minor groups')
parser.add_argument('delta_unit', help='delta_unit of the metrics to collect')
args = parser.parse_args()
h5f = h5py.File(args.h5file,'a')
unit = args.delta_unit
# Save the evaluation metric values in the samples' parent group
main_group = h5f[args.group]
# Check if eval group already exists in the main group
if 'eval' in main_group:
print "Removing existing eval group in" + main_group.name
del main_group['eval']
numOfSamples = len(main_group)
# Create new eval group in the main group
samples = main_group.keys()
eval_group = main_group.require_group('eval/'+args.delta_unit)
names = ['rmse','median','mean','max']
for name in names:
# Preallocate arrays
t_arr = np.empty(numOfSamples)
r_arr = np.empty(numOfSamples)
# Store metrics in sample in an array
for i, sample in enumerate(samples):
t_arr[i] = main_group[sample+'/eval/'+unit+'/t_'+name][()]
r_arr[i] = main_group[sample+'/eval/'+unit+'/r_'+name][()]
# Check if dataset already exists in the group
if 't_'+name in eval_group:
print "Removing existing trans dataset in " + eval_group.name
del eval_group['t_'+name]
if 'r_'+name in eval_group:
print "Removing existing rot dataset in " + eval_group.name
del eval_group['r_'+name]
# Save as a new dataset in the main group
eval_group.create_dataset('t_'+name, data=t_arr)
eval_group.create_dataset('r_'+name, data=r_arr)
|
bsd-2-clause
|
Python
|
0f295d0ee8c29361bd4f80dbc947da65dd7fbbe6
|
move raindrops
|
neiesc/Problem-solving,neiesc/Problem-solving,neiesc/Problem-solving,neiesc/Problem-solving
|
Exercism/python/raindrops/raindrops.py
|
Exercism/python/raindrops/raindrops.py
|
def convert(number):
raindrops = ((3, "Pling"), (5, "Plang"), (7, "Plong"))
raindrop_result = [raindrop[1] for raindrop in raindrops if number % raindrop[0] == 0]
return "".join(raindrop_result) or str(number)
|
raindrops = ((3, "Pling"), (5, "Plang"), (7, "Plong"))
def convert(number):
raindrop_result = [raindrop[1] for raindrop in raindrops if number % raindrop[0] == 0]
return "".join(raindrop_result) or str(number)
|
mit
|
Python
|
15ae458f7cf1a8257967b2b3b0ceb812547c4766
|
Test more edge cases of the highlighting parser
|
ipython/ipython,ipython/ipython
|
IPython/utils/tests/test_pycolorize.py
|
IPython/utils/tests/test_pycolorize.py
|
# coding: utf-8
"""Test suite for our color utilities.
Authors
-------
* Min RK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.txt, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# third party
import nose.tools as nt
# our own
from IPython.utils.PyColorize import Parser
import io
#-----------------------------------------------------------------------------
# Test functions
#-----------------------------------------------------------------------------
sample = u"""
def function(arg, *args, kwarg=True, **kwargs):
'''
this is docs
'''
pass is True
False == None
with io.open(ru'unicode'):
raise ValueError("\n escape \r sequence")
print("wěird ünicoðe")
class Bar(Super):
def __init__(self):
super(Bar, self).__init__(1**2, 3^4, 5 or 6)
"""
def test_loop_colors():
for scheme in ('Linux', 'NoColor','LightBG'):
def test_unicode_colorize():
p = Parser()
f1 = p.format('1/0', 'str', scheme=scheme)
f2 = p.format(u'1/0', 'str', scheme=scheme)
nt.assert_equal(f1, f2)
def test_parse_sample():
"""and test writing to a buffer"""
buf = io.StringIO()
p = Parser()
p.format(sample, buf, scheme=scheme)
buf.seek(0)
f1 = buf.read()
nt.assert_not_in('ERROR', f1)
def test_parse_error():
p = Parser()
f1 = p.format(')', 'str', scheme=scheme)
if scheme != 'NoColor':
nt.assert_in('ERROR', f1)
yield test_unicode_colorize
yield test_parse_sample
yield test_parse_error
|
"""Test suite for our color utilities.
Authors
-------
* Min RK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.txt, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# third party
import nose.tools as nt
# our own
from IPython.utils.PyColorize import Parser
#-----------------------------------------------------------------------------
# Test functions
#-----------------------------------------------------------------------------
def test_unicode_colorize():
p = Parser()
f1 = p.format('1/0', 'str')
f2 = p.format(u'1/0', 'str')
nt.assert_equal(f1, f2)
|
bsd-3-clause
|
Python
|
1eee9dfa6f7ea359f0dc4d0bf7450b3c96d3731d
|
Remove unnecessary var
|
reunition/reunition,reunition/reunition,reunition/reunition
|
reunition/apps/reunions/management/commands/setalumniusersfromrsvps.py
|
reunition/apps/reunions/management/commands/setalumniusersfromrsvps.py
|
from django.core.management.base import NoArgsCommand
from django.db.models.fields import related
from reunition.apps.alumni import models as alumni_m
from reunition.apps.reunions import models as reunions_m
class Command(NoArgsCommand):
help = 'Associate reunions.Rsvp.created_by to alumni.Person.user when not yet set'
def handle_noargs(self, **options):
for rsvp in reunions_m.Rsvp.objects.all():
user = rsvp.created_by
try:
user.person
except alumni_m.Person.DoesNotExist:
first_alumni_added = rsvp.rsvpalumniattendee_set.order_by('created').first()
if first_alumni_added:
person = first_alumni_added.person
print 'Associating user', user, 'with person', person
person.user = user
person.save()
|
from django.core.management.base import NoArgsCommand
from django.db.models.fields import related
from reunition.apps.alumni import models as alumni_m
from reunition.apps.reunions import models as reunions_m
class Command(NoArgsCommand):
help = 'Associate reunions.Rsvp.created_by to alumni.Person.user when not yet set'
def handle_noargs(self, **options):
for rsvp in reunions_m.Rsvp.objects.all():
user = rsvp.created_by
try:
user.person
except alumni_m.Person.DoesNotExist, e:
first_alumni_added = rsvp.rsvpalumniattendee_set.order_by('created').first()
if first_alumni_added:
person = first_alumni_added.person
print 'Associating user', user, 'with person', person
person.user = user
person.save()
|
mit
|
Python
|
5fc54a2120fbc9151073c9b247e3fd7e8e79a9fa
|
Remove premature attribute from migration script (Fixes #283)
|
phihag/adhocracy,SysTheron/adhocracy,alkadis/vcv,liqd/adhocracy,alkadis/vcv,DanielNeugebauer/adhocracy,DanielNeugebauer/adhocracy,SysTheron/adhocracy,alkadis/vcv,liqd/adhocracy,DanielNeugebauer/adhocracy,SysTheron/adhocracy,liqd/adhocracy,phihag/adhocracy,DanielNeugebauer/adhocracy,phihag/adhocracy,DanielNeugebauer/adhocracy,alkadis/vcv,alkadis/vcv,phihag/adhocracy,phihag/adhocracy,liqd/adhocracy
|
src/adhocracy/migration/versions/054_add_hierachical_categorybadges.py
|
src/adhocracy/migration/versions/054_add_hierachical_categorybadges.py
|
from datetime import datetime
from sqlalchemy import Column, ForeignKey, MetaData, Table
from sqlalchemy import Boolean, Integer, DateTime, String, Unicode, LargeBinary
metadata = MetaData()
#table to update
badge_table = Table(
'badge', metadata,
#common attributes
Column('id', Integer, primary_key=True),
Column('type', String(40), nullable=False),
Column('create_time', DateTime, default=datetime.utcnow),
Column('title', Unicode(40), nullable=False),
Column('color', Unicode(7), nullable=False),
Column('description', Unicode(255), default=u'', nullable=False),
Column('instance_id', Integer, ForeignKey('instance.id',
ondelete="CASCADE",),
nullable=True),
# attributes for UserBadges
Column('group_id', Integer, ForeignKey('group.id', ondelete="CASCADE")),
Column('display_group', Boolean, default=False),
Column('visible', Boolean, default=True),
)
def upgrade(migrate_engine):
#use sqlalchemy-migrate database connection
metadata.bind = migrate_engine
#autoload needed tables
instance_table = Table('instance', metadata, autoload=True)
#add hierachical columns to the table
select_child_desc = Column('select_child_description', Unicode(255), default=u'', nullable=True)
parent = Column('parent_id', Integer, ForeignKey('badge.id', ondelete="CASCADE"),
nullable=True)
#create/recreate the table
select_child_desc.create(badge_table)
select_child_desc.alter(nullable=False)
parent.create(badge_table)
def downgrade(migrate_engine):
raise NotImplementedError()
|
from datetime import datetime
from sqlalchemy import Column, ForeignKey, MetaData, Table
from sqlalchemy import Boolean, Integer, DateTime, String, Unicode, LargeBinary
metadata = MetaData()
#table to update
badge_table = Table(
'badge', metadata,
#common attributes
Column('id', Integer, primary_key=True),
Column('type', String(40), nullable=False),
Column('create_time', DateTime, default=datetime.utcnow),
Column('title', Unicode(40), nullable=False),
Column('color', Unicode(7), nullable=False),
Column('description', Unicode(255), default=u'', nullable=False),
Column('instance_id', Integer, ForeignKey('instance.id',
ondelete="CASCADE",),
nullable=True),
# attributes for UserBadges
Column('group_id', Integer, ForeignKey('group.id', ondelete="CASCADE")),
Column('display_group', Boolean, default=False),
Column('visible', Boolean, default=True),
# attributes for ThumbnailBadges
Column('thumbnail', LargeBinary, default=None, nullable=True)
)
def upgrade(migrate_engine):
#use sqlalchemy-migrate database connection
metadata.bind = migrate_engine
#autoload needed tables
instance_table = Table('instance', metadata, autoload=True)
#add hierachical columns to the table
select_child_desc = Column('select_child_description', Unicode(255), default=u'', nullable=True)
parent = Column('parent_id', Integer, ForeignKey('badge.id', ondelete="CASCADE"),
nullable=True)
#create/recreate the table
select_child_desc.create(badge_table)
select_child_desc.alter(nullable=False)
parent.create(badge_table)
def downgrade(migrate_engine):
raise NotImplementedError()
|
agpl-3.0
|
Python
|
b06687b1e78645a055a314be4b1af693e2c3be05
|
remove obsolete arguments
|
StegSchreck/RatS,StegSchreck/RatS,StegSchreck/RatS
|
RatS/filmaffinity/filmaffinity_site.py
|
RatS/filmaffinity/filmaffinity_site.py
|
import time
from RatS.base.base_site import Site
from selenium.webdriver.common.by import By
class FilmAffinity(Site):
def __init__(self, args):
login_form_selector = "//form[@id='login-form']"
self.LOGIN_USERNAME_SELECTOR = login_form_selector + "//input[@name='username']"
self.LOGIN_PASSWORD_SELECTOR = login_form_selector + "//input[@name='password']"
self.LOGIN_BUTTON_SELECTOR = login_form_selector + "//input[@type='submit']"
super(FilmAffinity, self).__init__(args)
self.MY_RATINGS_URL = "https://www.filmaffinity.com/en/myvotes.php"
def _get_login_page_url(self):
return "https://www.filmaffinity.com/en/login.php"
def _handle_cookie_notice_if_present(self):
cookie_notices = self.browser.find_elements(By.ID, "qc-cmp2-container")
if len(cookie_notices) == 0:
return
cookie_notice = cookie_notices[0]
if cookie_notice is not None:
# agree
cookie_accept_button = cookie_notice.find_elements(
By.CSS_SELECTOR, "div.qc-cmp2-summary-buttons button"
)
if cookie_accept_button is not None and len(cookie_accept_button) > 1:
cookie_accept_button[1].click()
time.sleep(2)
# agree all
cookie_accept_button = cookie_notice.find_elements(
By.CSS_SELECTOR,
"div.qc-cmp2-buttons-desktop button",
)
if cookie_accept_button is not None and len(cookie_accept_button) > 1:
cookie_accept_button[1].click()
time.sleep(2)
|
import time
from RatS.base.base_site import Site
from selenium.webdriver.common.by import By
class FilmAffinity(Site):
def __init__(self, args):
login_form_selector = "//form[@id='login-form']"
self.LOGIN_USERNAME_SELECTOR = login_form_selector + "//input[@name='username']"
self.LOGIN_PASSWORD_SELECTOR = login_form_selector + "//input[@name='password']"
self.LOGIN_BUTTON_SELECTOR = login_form_selector + "//input[@type='submit']"
super(FilmAffinity, self).__init__(args)
self.MY_RATINGS_URL = "https://www.filmaffinity.com/en/myvotes.php"
def _get_login_page_url(self):
return "https://www.filmaffinity.com/en/login.php"
def _handle_cookie_notice_if_present(self):
cookie_notices = self.browser.find_elements(By.ID, "qc-cmp2-container")
if len(cookie_notices) == 0:
return
cookie_notice = cookie_notices[0]
if cookie_notice is not None:
# agree
cookie_accept_button = cookie_notice.find_elements(
By.CSS_SELECTOR, By.CSS_SELECTOR, "div.qc-cmp2-summary-buttons button"
)
if cookie_accept_button is not None and len(cookie_accept_button) > 1:
cookie_accept_button[1].click()
time.sleep(2)
# agree all
cookie_accept_button = cookie_notice.find_elements(
By.CSS_SELECTOR,
By.CSS_SELECTOR,
"div.qc-cmp2-buttons-desktop button",
)
if cookie_accept_button is not None and len(cookie_accept_button) > 1:
cookie_accept_button[1].click()
time.sleep(2)
|
agpl-3.0
|
Python
|
c79c3b7f920f4bcf5fb69cf74b224e6ff37a709b
|
test triggering travis
|
Lenijas/test-travisci,Lenijas/test-travisci,Lenijas/test-travisci
|
fabre_test.py
|
fabre_test.py
|
#!/usr/bin/env python
# coding=UTF-8
import pytest
import sys
# content of test_assert1.py
def f():
return 3
def test_function():
assert f() == 4
test_function()
|
#!/usr/bin/env python
# coding=UTF-8
import pytest
import sys
sys.exit(0)
|
bsd-3-clause
|
Python
|
0fb800cd42f1545e8d5e744af1ff81922c930448
|
Add Google analytics ID
|
glasslion/zha-beta,glasslion/zha-beta,glasslion/zha-beta,glasslion/zha,glasslion/zha,glasslion/zha
|
pelicanconf.py
|
pelicanconf.py
|
#!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
from datetime import datetime
import os
import sys
BASE_DIR = os.path.dirname(__file__)
# Clone the official plugin repo to the `official_plugins` dir
# (https://github.com/getpelican/pelican-plugins)
sys.path.append(os.path.join(BASE_DIR, "official_plugins"))
AUTHOR = u'Leonardo Zhou'
SITENAME = u'翼图南'
SITE_DESCRIPTION = u'故九萬里，則風斯在下矣，而後乃今培風；背負青天而莫之夭閼者，而後乃今將圖南'
SITEURL = ''
TIMEZONE = 'Asia/Shanghai'
DEFAULT_LANG = u'zh'
# Feed generation is usually not desired when developing
FEED_ALL_ATOM = None
CATEGORY_FEED_ATOM = None
TRANSLATION_FEED_ATOM = None
# Social widget
SOCIAL = (
('twitter', 'https://twitter.com/glasslion'),
('envelope', 'mailto:[email protected]'),
('github', 'https://github.com/glasslion'),
('stack-overflow', 'http://stackoverflow.com/users/1093020/leonardo-z'),
)
GOOGLE_ANALYTICS = "UA-42951023-1"
LOCALE = ('usa', 'en_US.utf8')
DEFAULT_DATE_FORMAT = '%b %d, %Y'
# DIRECT_TEMPLATES = ('index', 'tags', 'categories', 'archives')
# PAGINATED_DIRECT_TEMPLATES = (('blog',))
PLUGINS = ['summary', 'assets', 'neighbors']
# Assets
ASSET_BUNDLES = ()
ASSET_CONFIG = (('sass_bin', 'sass'), )
SUMMARY_MAX_LENGTH = 20
DEFAULT_PAGINATION = 5
# Uncomment following line if you want document-relative URLs when developing
RELATIVE_URLS = True
# Static content
STATIC_PATHS = ['images', 'extra/CNAME',]
EXTRA_PATH_METADATA = {'extra/CNAME': {'path': 'CNAME'},}
# Url
ARTICLE_URL = '{slug}/'
ARTICLE_SAVE_AS = '{slug}/index.html'
# Archive
YEAR_ARCHIVE_SAVE_AS = 'archives/{date:%Y}/index.html'
MONTH_ARCHIVE_SAVE_AS = 'archives/{date:%Y}/{date:%m}/index.html'
# Custom theme
THEME = '../pelican-zha'
CURRENT_DATETIME = datetime.now()
QINIU_BUCKET_URL = 'http://wing2south.qiniudn.com'
CDN_URL = SITEURL
|
#!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
from datetime import datetime
import os
import sys
BASE_DIR = os.path.dirname(__file__)
# Clone the official plugin repo to the `official_plugins` dir
# (https://github.com/getpelican/pelican-plugins)
sys.path.append(os.path.join(BASE_DIR, "official_plugins"))
AUTHOR = u'Leonardo Zhou'
SITENAME = u'翼图南'
SITE_DESCRIPTION = u'故九萬里，則風斯在下矣，而後乃今培風；背負青天而莫之夭閼者，而後乃今將圖南'
SITEURL = ''
TIMEZONE = 'Asia/Shanghai'
DEFAULT_LANG = u'zh'
# Feed generation is usually not desired when developing
FEED_ALL_ATOM = None
CATEGORY_FEED_ATOM = None
TRANSLATION_FEED_ATOM = None
# Social widget
SOCIAL = (
('twitter', 'https://twitter.com/glasslion'),
('envelope', 'mailto:[email protected]'),
('github', 'https://github.com/glasslion'),
('stack-overflow', 'http://stackoverflow.com/users/1093020/leonardo-z'),
)
LOCALE = ('usa', 'en_US.utf8')
DEFAULT_DATE_FORMAT = '%b %d, %Y'
# DIRECT_TEMPLATES = ('index', 'tags', 'categories', 'archives')
# PAGINATED_DIRECT_TEMPLATES = (('blog',))
PLUGINS = ['summary', 'assets', 'neighbors']
# Assets
ASSET_BUNDLES = ()
ASSET_CONFIG = (('sass_bin', 'sass'), )
SUMMARY_MAX_LENGTH = 20
DEFAULT_PAGINATION = 5
# Uncomment following line if you want document-relative URLs when developing
RELATIVE_URLS = True
# Static content
STATIC_PATHS = ['images', 'extra/CNAME',]
EXTRA_PATH_METADATA = {'extra/CNAME': {'path': 'CNAME'},}
# Url
ARTICLE_URL = '{slug}/'
ARTICLE_SAVE_AS = '{slug}/index.html'
# Archive
YEAR_ARCHIVE_SAVE_AS = 'archives/{date:%Y}/index.html'
MONTH_ARCHIVE_SAVE_AS = 'archives/{date:%Y}/{date:%m}/index.html'
# Custom theme
THEME = '../pelican-zha'
CURRENT_DATETIME = datetime.now()
QINIU_BUCKET_URL = 'http://wing2south.qiniudn.com'
CDN_URL = SITEURL
|
cc0-1.0
|
Python
|
6a1176d547694b535bc581d5a0af87230d533caf
|
set to version 3.305.533
|
UmSenhorQualquer/pythonVideoAnnotator
|
base/pythonvideoannotator/pythonvideoannotator/__init__.py
|
base/pythonvideoannotator/pythonvideoannotator/__init__.py
|
# !/usr/bin/python3
# -*- coding: utf-8 -*-
__version__ = "3.305.533"
__author__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro", "Hugo Cachitas"]
__credits__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro", "Hugo Cachitas"]
__license__ = "Attribution-NonCommercial-ShareAlike 4.0 International"
__maintainer__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro"]
__email__ = ["ricardojvr at gmail.com", "cajomferro at gmail.com"]
__status__ = "Development"
from confapp import conf; conf += 'pythonvideoannotator.settings'
import logging
logger = logging.getLogger(__name__)
logger.setLevel(conf.APP_LOG_HANDLER_LEVEL)
if conf.APP_LOG_HANDLER_FILE:
logger = logging.getLogger()
loggers_formatter = logging.Formatter(conf.PYFORMS_LOG_FORMAT)
fh = logging.FileHandler(conf.APP_LOG_HANDLER_FILE)
fh.setLevel(conf.APP_LOG_HANDLER_FILE_LEVEL)
fh.setFormatter(loggers_formatter)
logger.addHandler(fh)
|
# !/usr/bin/python3
# -*- coding: utf-8 -*-
__version__ = "3.305.532"
__author__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro", "Hugo Cachitas"]
__credits__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro", "Hugo Cachitas"]
__license__ = "Attribution-NonCommercial-ShareAlike 4.0 International"
__maintainer__ = ["Ricardo Ribeiro", "Carlos Mao de Ferro"]
__email__ = ["ricardojvr at gmail.com", "cajomferro at gmail.com"]
__status__ = "Development"
from confapp import conf; conf += 'pythonvideoannotator.settings'
import logging
logger = logging.getLogger(__name__)
logger.setLevel(conf.APP_LOG_HANDLER_LEVEL)
if conf.APP_LOG_HANDLER_FILE:
logger = logging.getLogger()
loggers_formatter = logging.Formatter(conf.PYFORMS_LOG_FORMAT)
fh = logging.FileHandler(conf.APP_LOG_HANDLER_FILE)
fh.setLevel(conf.APP_LOG_HANDLER_FILE_LEVEL)
fh.setFormatter(loggers_formatter)
logger.addHandler(fh)
|
mit
|
Python
|
d82c37a85e3522f7cf7e26a220eb5946aec66ffe
|
Create docs from numpy
|
datamicroscopes/lda,datamicroscopes/lda,datamicroscopes/lda
|
test/test_data_utils.py
|
test/test_data_utils.py
|
import numpy as np
from cStringIO import StringIO
from nose.tools import raises
from microscopes.lda import utils
def test_docs_from_document_term_matrix():
dtm = [[2, 1], [3, 2]]
docs = [[0, 0, 1], [0, 0, 0, 1, 1]]
assert utils.docs_from_document_term_matrix(dtm) == docs
def test_docs_from_numpy_dtp():
dtm = np.array([[2, 1], [3, 2]])
docs = [[0, 0, 1], [0, 0, 0, 1, 1]]
assert utils.docs_from_document_term_matrix(dtm) == docs
def test_docs_from_ldac_simple():
stream = StringIO()
stream.write("2 0:2 1:1\n2 0:3 1:2")
stream.seek(0) # rewind stream
docs = [[0, 0, 1], [0, 0, 0, 1, 1]]
assert utils.docs_from_ldac(stream) == docs
stream = StringIO()
stream.write("2 1:1 0:2\n3 2:1 0:3 1:1")
stream.seek(0) # rewind stream
docs = [[1, 0, 0], [2, 0, 0, 0, 1]]
assert utils.docs_from_ldac(stream) == docs
@raises(AssertionError)
def test_bad_ldac_data():
stream = StringIO()
stream.write("2 0:1")
stream.seek(0) # rewind stream
utils.docs_from_ldac(stream)
|
from cStringIO import StringIO
from nose.tools import raises
from microscopes.lda import utils
def test_docs_from_document_term_matrix():
dtm = [[2, 1], [3, 2]]
docs = [[0, 0, 1], [0, 0, 0, 1, 1]]
assert utils.docs_from_document_term_matrix(dtm) == docs
def test_docs_from_ldac_simple():
stream = StringIO()
stream.write("2 0:2 1:1\n2 0:3 1:2")
stream.seek(0) # rewind stream
docs = [[0, 0, 1], [0, 0, 0, 1, 1]]
assert utils.docs_from_ldac(stream) == docs
stream = StringIO()
stream.write("2 1:1 0:2\n3 2:1 0:3 1:1")
stream.seek(0) # rewind stream
docs = [[1, 0, 0], [2, 0, 0, 0, 1]]
assert utils.docs_from_ldac(stream) == docs
@raises(AssertionError)
def test_bad_ldac_data():
stream = StringIO()
stream.write("2 0:1")
stream.seek(0) # rewind stream
utils.docs_from_ldac(stream)
|
bsd-3-clause
|
Python
|
36ed44e94916d6abe3458645c957dd9715cbc532
|
set STATIC_ROOT
|
joaoleveiga/django-wsgi-example,joaoleveiga/django-wsgi-example
|
myproj/myproj/settings.py
|
myproj/myproj/settings.py
|
"""
Django settings for myproj project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.7/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'unsecret_key'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'myapp',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
)
ROOT_URLCONF = 'myproj.urls'
WSGI_APPLICATION = 'myproj.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.7/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Internationalization
# https://docs.djangoproject.com/en/1.7/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.7/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, 'web', 'static')
TEMPLATE_DIRS = (
os.path.join(BASE_DIR, 'myproj', 'templates'),
)
try:
from local_settings import *
except ImportError:
pass
|
"""
Django settings for myproj project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.7/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'unsecret_key'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'myapp',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
)
ROOT_URLCONF = 'myproj.urls'
WSGI_APPLICATION = 'myproj.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.7/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Internationalization
# https://docs.djangoproject.com/en/1.7/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.7/howto/static-files/
STATIC_URL = '/static/'
TEMPLATE_DIRS = (
os.path.join(BASE_DIR, 'myproj', 'templates'),
)
try:
from local_settings import *
except ImportError:
pass
|
mit
|
Python
|
566ceb81a14685c201f3c92668dc0530a1a91176
|
fix path
|
Ircam-Web/mezzanine-organization,Ircam-Web/mezzanine-organization
|
organization/projects/management/commands/project_inject_content.py
|
organization/projects/management/commands/project_inject_content.py
|
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2017 Ircam
# Copyright (c) 2016-2017 Guillaume Pellerin
# Copyright (c) 2016-2017 Emilie Zawadzki
# This file is part of mezzanine-organization.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import requests
import json
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from organization.projects.models import *
from django.utils.text import slugify
from django.contrib.sites.models import Site
from copy import deepcopy
class Command(BaseCommand):
help = """Retrieve content_fr of old mode Project
from database Tue Feb 5 14:26:55 2019 +0100
"""
def handle(self, *args, **options):
json_path = '/srv/lib/mezzanine-organization/organization/projects/management/commands/projects.json'
old_projects = self.read_json(json_path)
project_pages = ProjectPage.objects.all()
for project_page in project_pages:
print(project_page.site_id)
for old_project in old_projects:
if old_project['pk'] == project_page.project_id:
# inject _fr in _en (because _fr became _en)
if not project_page.content_en:
project_page.content_en = project_page.content_fr
project_page.content_fr = old_project['fields']['content_fr']
project_page.save()
def read_file(self, path):
file = open(path, "r")
data = file.read()
file.close()
return data
def read_json(self, path):
return json.loads(self.read_file(path))
|
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2017 Ircam
# Copyright (c) 2016-2017 Guillaume Pellerin
# Copyright (c) 2016-2017 Emilie Zawadzki
# This file is part of mezzanine-organization.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import requests
import json
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from organization.projects.models import *
from django.utils.text import slugify
from django.contrib.sites.models import Site
from copy import deepcopy
class Command(BaseCommand):
help = """Retrieve content_fr of old mode Project
from database Tue Feb 5 14:26:55 2019 +0100
"""
def handle(self, *args, **options):
old_projects = self.read_json('projects.json')
project_pages = ProjectPage.objects.all()
for project_page in project_pages:
print(project_page.site_id)
for old_project in old_projects:
if old_project['pk'] == project_page.project_id:
# inject _fr in _en (because _fr became _en)
if not project_page.content_en:
project_page.content_en = project_page.content_fr
project_page.content_fr = old_project['fields']['content_fr']
project_page.save()
def read_file(self, path):
file = open(path, "r")
data = file.read()
file.close()
return data
def read_json(self, path):
return json.loads(self.read_file(path))
|
agpl-3.0
|
Python
|
70004e7caf332e55d40b4f1f757138c4cd35a3fe
|
fix path
|
Ircam-Web/mezzanine-organization,Ircam-Web/mezzanine-organization
|
organization/projects/management/commands/project_inject_content.py
|
organization/projects/management/commands/project_inject_content.py
|
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2017 Ircam
# Copyright (c) 2016-2017 Guillaume Pellerin
# Copyright (c) 2016-2017 Emilie Zawadzki
# This file is part of mezzanine-organization.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import requests
import json
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from organization.projects.models import *
from django.utils.text import slugify
from django.contrib.sites.models import Site
from copy import deepcopy
class Command(BaseCommand):
help = """Retrieve content_fr of old mode Project
from database Tue Feb 5 14:26:55 2019 +0100
"""
def handle(self, *args, **options):
json_path = '/srv/lib/mezzanine-organization/organization/projects/management/commands/projects.json'
old_projects = self.read_json(json_path)
project_pages = ProjectPage.objects.all()
for project_page in project_pages:
print(project_page.site_id)
for old_project in old_projects:
if old_project['pk'] == project_page.project_id:
# inject _fr in _en (because _fr became _en)
if not project_page.content_en:
project_page.content_en = project_page.content_fr
project_page.content_fr = old_project['fields']['content_fr']
project_page.save()
def read_file(self, path):
file = open(path, "r")
data = file.read()
file.close()
return data
def read_json(self, path):
return json.loads(self.read_file(path))
|
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2017 Ircam
# Copyright (c) 2016-2017 Guillaume Pellerin
# Copyright (c) 2016-2017 Emilie Zawadzki
# This file is part of mezzanine-organization.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import requests
import json
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from organization.projects.models import *
from django.utils.text import slugify
from django.contrib.sites.models import Site
from copy import deepcopy
class Command(BaseCommand):
help = """Retrieve content_fr of old mode Project
from database Tue Feb 5 14:26:55 2019 +0100
"""
def handle(self, *args, **options):
old_projects = self.read_json('projects.json')
project_pages = ProjectPage.objects.all()
for project_page in project_pages:
print(project_page.site_id)
for old_project in old_projects:
if old_project['pk'] == project_page.project_id:
# inject _fr in _en (because _fr became _en)
if not project_page.content_en:
project_page.content_en = project_page.content_fr
project_page.content_fr = old_project['fields']['content_fr']
project_page.save()
def read_file(self, path):
file = open(path, "r")
data = file.read()
file.close()
return data
def read_json(self, path):
return json.loads(self.read_file(path))
|
agpl-3.0
|
Python
|
2e4ec0fea35722fbdbab36ce326e664249e3eaf7
|
Add support jinja2
|
beni55/nacho,beni55/nacho,avelino/nacho
|
nacho/controllers/base.py
|
nacho/controllers/base.py
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from tornado.web import RequestHandler
from jinja2 import Environment, FileSystemLoader, TemplateNotFound
class ApplicationController(RequestHandler):
def render(self, template_name, **kwargs):
kwargs.update({
'settings': self.settings,
'STATIC_URL': self.settings.get('static_url_prefix', '/static/'),
'request': self.request,
'xsrf_token': self.xsrf_token,
'xsrf_form_html': self.xsrf_form_html,
})
self.write(self.render_template(template_name, **kwargs))
def render_template(self, template_name, **kwargs):
template_dirs = []
if self.settings.get('template_path', ''):
template_dirs.append(self.settings["template_path"])
env = Environment(loader=FileSystemLoader(template_dirs))
try:
template = env.get_template(template_name)
except TemplateNotFound:
raise TemplateNotFound(template_name)
return template.render(kwargs)
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from cyclone.web import RequestHandler
class ApplicationController(RequestHandler):
pass
|
mit
|
Python
|
45c86ade944d9afe7bc8e627e25fa861489cd4b6
|
fix a typo so that email is sent to the correct host
|
crateio/crate.web,crateio/crate.web
|
crate_project/settings/production/gondor.py
|
crate_project/settings/production/gondor.py
|
import os
from .base import *
from local_settings import * # Instance specific settings (in deploy.settings_[INSTANCE_NAME]))
# Fix Email Settings
SERVER_EMAIL = "[email protected]"
DEFAULT_FROM_EMAIL = "[email protected]"
CACHES = {
"default": {
"BACKEND": "redis_cache.RedisCache",
"LOCATION": ":".join([GONDOR_REDIS_HOST, str(GONDOR_REDIS_PORT)]),
"KEY_PREFIX": "cache",
"OPTIONS": {
"DB": 0,
"PASSWORD": GONDOR_REDIS_PASSWORD,
}
}
}
PYPI_DATASTORE_CONFIG = {
"host": GONDOR_REDIS_HOST,
"port": GONDOR_REDIS_PORT,
"password": GONDOR_REDIS_PASSWORD,
}
LOCK_DATASTORE_CONFIG = PYPI_DATASTORE_CONFIG
# Configure Celery
BROKER_TRANSPORT = "redis"
BROKER_HOST = GONDOR_REDIS_HOST
BROKER_PORT = GONDOR_REDIS_PORT
BROKER_VHOST = "0"
BROKER_PASSWORD = GONDOR_REDIS_PASSWORD
BROKER_POOL_LIMIT = 10
CELERY_RESULT_BACKEND = "redis"
CELERY_REDIS_HOST = GONDOR_REDIS_HOST
CELERY_REDIS_PORT = GONDOR_REDIS_PORT
CELERY_REDIS_PASSWORD = GONDOR_REDIS_PASSWORD
SECRET_KEY = os.environ["SECRET_KEY"]
EMAIL_HOST = os.environ["EMAIL_HOST"]
EMAIL_PORT = int(os.environ["EMAIL_PORT"])
EMAIL_HOST_USER = os.environ["EMAIL_HOST_USER"]
EMAIL_HOST_PASSWORD = os.environ["EMAIL_HOST_PASSWORD"]
EMAIL_USE_TLS = True
AWS_ACCESS_KEY_ID = os.environ["AWS_ACCESS_KEY_ID"]
AWS_SECRET_ACCESS_KEY = os.environ["AWS_SECRET_ACCESS_KEY"]
HAYSTACK_CONNECTIONS = {
"default": {
"ENGINE": os.environ["HAYSTACK_DEFAULT_ENGINE"],
"URL": os.environ["HAYSTACK_DEFAULT_URL"],
"INDEX_NAME": os.environ["HAYSTACK_DEFAULT_INDEX_NAME"],
},
}
INTERCOM_USER_HASH_KEY = os.environ["INTERCOM_USER_HASH_KEY"]
|
import os
from .base import *
from local_settings import * # Instance specific settings (in deploy.settings_[INSTANCE_NAME]))
# Fix Email Settings
SERVER_EMAIL = "[email protected]"
DEFAULT_FROM_EMAIL = "[email protected]"
CACHES = {
"default": {
"BACKEND": "redis_cache.RedisCache",
"LOCATION": ":".join([GONDOR_REDIS_HOST, str(GONDOR_REDIS_PORT)]),
"KEY_PREFIX": "cache",
"OPTIONS": {
"DB": 0,
"PASSWORD": GONDOR_REDIS_PASSWORD,
}
}
}
PYPI_DATASTORE_CONFIG = {
"host": GONDOR_REDIS_HOST,
"port": GONDOR_REDIS_PORT,
"password": GONDOR_REDIS_PASSWORD,
}
LOCK_DATASTORE_CONFIG = PYPI_DATASTORE_CONFIG
# Configure Celery
BROKER_TRANSPORT = "redis"
BROKER_HOST = GONDOR_REDIS_HOST
BROKER_PORT = GONDOR_REDIS_PORT
BROKER_VHOST = "0"
BROKER_PASSWORD = GONDOR_REDIS_PASSWORD
BROKER_POOL_LIMIT = 10
CELERY_RESULT_BACKEND = "redis"
CELERY_REDIS_HOST = GONDOR_REDIS_HOST
CELERY_REDIS_PORT = GONDOR_REDIS_PORT
CELERY_REDIS_PASSWORD = GONDOR_REDIS_PASSWORD
SECRET_KEY = os.environ["SECRET_KEY"]
EMAIL_HOST = os.environ["EMAIL_HOST_PASSWORD"]
EMAIL_PORT = int(os.environ["EMAIL_PORT"])
EMAIL_HOST_USER = os.environ["EMAIL_HOST_USER"]
EMAIL_HOST_PASSWORD = os.environ["EMAIL_HOST_PASSWORD"]
EMAIL_USE_TLS = True
AWS_ACCESS_KEY_ID = os.environ["AWS_ACCESS_KEY_ID"]
AWS_SECRET_ACCESS_KEY = os.environ["AWS_SECRET_ACCESS_KEY"]
HAYSTACK_CONNECTIONS = {
"default": {
"ENGINE": os.environ["HAYSTACK_DEFAULT_ENGINE"],
"URL": os.environ["HAYSTACK_DEFAULT_URL"],
"INDEX_NAME": os.environ["HAYSTACK_DEFAULT_INDEX_NAME"],
},
}
INTERCOM_USER_HASH_KEY = os.environ["INTERCOM_USER_HASH_KEY"]
|
bsd-2-clause
|
Python
|
2a1407b34187cfba6c968a7b95e58ec1c115a8f6
|
Print functions
|
datacommonsorg/api-python,datacommonsorg/api-python
|
datacommons/examples/population_analysis.py
|
datacommons/examples/population_analysis.py
|
# Copyright 2017 Google Inc.
#
# 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.
"""Example analysis with DataCommons Python API.
"""
import pandas as pd
import datacommons
def main():
dc = datacommons.Client()
# Build a table with a single US state
state_table = dc.get_states('United States', 'state', max_rows=1)
# Add the state name and the 5 counties contained in that state
state_table = dc.expand(
state_table, 'name', 'state', 'state_name', outgoing=True)
state_table = dc.expand(
state_table,
'containedInPlace',
'state',
'county',
outgoing=False,
max_rows=3)
state_table = dc.expand(
state_table, 'name', 'county', 'county_name', outgoing=True)
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_population',
population_type='Person',
max_rows=100)
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print(state_table)
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_18_24_years_population',
population_type='Person',
max_rows=100,
age='USC/18To24Years')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print(state_table)
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_male_population',
population_type='Person',
max_rows=100,
gender='Male')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print(state_table)
state_table = dc.get_observations(
state_table,
seed_col_name='county_population',
new_col_name='county_person_count',
start_date='2012-01-01',
end_date='2016-01-01',
measured_property='count',
stats_type='count')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print(state_table)
if __name__ == '__main__':
main()
|
# Copyright 2017 Google Inc.
#
# 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.
"""Example analysis with DataCommons Python API.
"""
import pandas as pd
import datacommons
def main():
dc = datacommons.Client()
# Build a table with a single US state
state_table = dc.get_states('United States', 'state', max_rows=1)
# Add the state name and the 5 counties contained in that state
state_table = dc.expand(
state_table, 'name', 'state', 'state_name', outgoing=True)
state_table = dc.expand(
state_table,
'containedInPlace',
'state',
'county',
outgoing=False,
max_rows=2)
state_table = dc.expand(
state_table, 'name', 'county', 'county_name', outgoing=True)
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_population',
population_type='Person',
max_rows=100)
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print state_table
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_18_24_years_population',
population_type='Person',
max_rows=100,
age='USC/18To24Years')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print state_table
state_table = dc.get_populations(
state_table,
seed_col_name='county',
new_col_name='county_male_population',
population_type='Person',
max_rows=100,
gender='Male')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print state_table
state_table = dc.get_observations(
state_table,
seed_col_name='county_population',
new_col_name='county_person_count',
start_date='2012-01-01',
end_date='2016-01-01',
measured_property='count',
stats_type='count')
with pd.option_context('display.width', 400, 'display.max_rows', 100):
print state_table
if __name__ == '__main__':
main()
|
apache-2.0
|
Python
|
d74b15485a0756ac1702fafd640f616f022b3f58
|
bump verions
|
rygwdn/equals,toddsifleet/equals
|
equals/__init__.py
|
equals/__init__.py
|
from __future__ import absolute_import
__version__ = '0.0.21'
import numbers
import collections
from equals.equals import Equals as instance_of
from equals.constraints.anything_true import AnythingTrue
from equals.constraints.anything_false import AnythingFalse
anything = instance_of()
try:
any_string = instance_of(basestring)
except NameError:
any_string = instance_of(str)
any_number = instance_of(numbers.Number)
any_int = instance_of(int)
any_float = instance_of(float)
any_iterable = instance_of(collections.Iterable)
any_dict = instance_of(dict)
any_list = instance_of(list)
any_tuple = instance_of(tuple)
anything_false = AnythingFalse(anything)
anything_true = AnythingTrue(anything)
|
from __future__ import absolute_import
__version__ = '0.0.2'
import numbers
import collections
from equals.equals import Equals as instance_of
from equals.constraints.anything_true import AnythingTrue
from equals.constraints.anything_false import AnythingFalse
anything = instance_of()
try:
any_string = instance_of(basestring)
except NameError:
any_string = instance_of(str)
any_number = instance_of(numbers.Number)
any_int = instance_of(int)
any_float = instance_of(float)
any_iterable = instance_of(collections.Iterable)
any_dict = instance_of(dict)
any_list = instance_of(list)
any_tuple = instance_of(tuple)
anything_false = AnythingFalse(anything)
anything_true = AnythingTrue(anything)
|
mit
|
Python
|
9c2d1e9e841014dbc986b6e509b19f7f881969c4
|
Fix silly typo
|
spendb/spendb,openspending/spendb,spendb/spendb,pudo/spendb,pudo/spendb,USStateDept/FPA_Core,CivicVision/datahub,johnjohndoe/spendb,spendb/spendb,CivicVision/datahub,CivicVision/datahub,johnjohndoe/spendb,openspending/spendb,USStateDept/FPA_Core,pudo/spendb,nathanhilbert/FPA_Core,nathanhilbert/FPA_Core,johnjohndoe/spendb,USStateDept/FPA_Core,nathanhilbert/FPA_Core,openspending/spendb
|
openspending/lib/csvexport.py
|
openspending/lib/csvexport.py
|
import csv
import sys
from datetime import datetime
from openspending import model
from openspending.mongo import DBRef, ObjectId
def write_csv(entries, response):
response.content_type = 'text/csv'
# NOTE: this should be a streaming service but currently
# I see no way to know the full set of keys without going
# through the data twice.
keys = set()
rows = []
for entry in entries:
d = {}
for k, v in model.entry.to_query_dict(entry).items():
if isinstance(v, (list, tuple, dict, DBRef)):
continue
elif isinstance(v, ObjectId):
v = str(v)
elif isinstance(v, datetime):
v = v.isoformat()
d[unicode(k).encode('utf8')] = unicode(v).encode('utf8')
keys.update(d.keys())
rows.append(d)
fields = sorted(keys)
writer = csv.DictWriter(response, fields)
if sys.version_info < (2,7):
header = dict(zip(fields, fields))
writer.writerow(header)
else:
writer.writeheader()
writer.writerows(rows)
|
import csv
import sys
from datetime import datetime
from openspending import model
from openspending.mongo import DBRef, ObjectId
def write_csv(entries, response):
response.content_type = 'text/csv'
# NOTE: this should be a streaming service but currently
# I see no way to know the full set of keys without going
# through the data twice.
keys = set()
rows = []
for entry in entries:
d = {}
for k, v in model.entry.to_query_dict(entry).items():
if isinstance(v, (list, tuple, dict, DBRef)):
continue
elif isinstance(v, ObjectId):
v = str(v)
elif isinstance(v, datetime):
v = v.isoformat()
d[unicode(k).encode('utf8')] = unicode(v).encode('utf8')
keys.update(d.keys())
rows.append(d)
fields = sorted(keys)
writer = csv.DictWriter(response, fields)
if sys.version_info < (2,7):
header = dict(zip(fields, fields))
self.writerow(header)
else:
writer.writeheader()
writer.writerows(rows)
|
agpl-3.0
|
Python
|
ab35f508375c760770884882acaea79079a1a976
|
remove unnesecary print
|
natemara/python-erlang
|
erlang/__init__.py
|
erlang/__init__.py
|
from __future__ import division
def extended_b_lines(usage, blocking):
'''
Uses the Extended Erlang B formula to calcluate the ideal number of lines
for the given usage in erlangs and the given blocking rate.
Usage:
extended_b_lines(usage, blocking)
'''
line_count = 1
while extended_b(usage, line_count) > blocking:
line_count += 1
return line_count
def extended_b(usage, lines, recall=0.5):
'''
Usage:
extended_b(usage, lines, recall=0.5)
'''
original_usage = usage
while True:
PB = b(usage, lines)
magic_number_1 = (1 - PB) * usage + (1 - recall) * PB * usage
magic_number_2 = 0.9999 * original_usage
if magic_number_1 >= magic_number_2:
return PB
usage = original_usage + recall * PB * usage
return -1
def b(usage, lines):
'''
Usage:
b(usage, lines)
'''
if usage > 0:
PBR = (1 + usage) / usage
for index in range(2, lines + 1):
PBR = index / usage * PBR + 1
if PBR > 10000:
return 0
return 1 / PBR
return 0
|
from __future__ import division
def extended_b_lines(usage, blocking):
'''
Uses the Extended Erlang B formula to calcluate the ideal number of lines
for the given usage in erlangs and the given blocking rate.
Usage:
extended_b_lines(usage, blocking)
'''
line_count = 1
while extended_b(usage, line_count) > blocking:
line_count += 1
return line_count
def extended_b(usage, lines, recall=0.5):
'''
Usage:
extended_b(usage, lines, recall=0.5)
'''
original_usage = usage
while True:
PB = b(usage, lines)
magic_number_1 = (1 - PB) * usage + (1 - recall) * PB * usage
magic_number_2 = 0.9999 * original_usage
if magic_number_1 >= magic_number_2:
return PB
usage = original_usage + recall * PB * usage
return -1
def b(usage, lines):
'''
Usage:
b(usage, lines)
'''
if usage > 0:
PBR = (1 + usage) / usage
for index in range(2, lines + 1):
print(PBR)
PBR = index / usage * PBR + 1
if PBR > 10000:
return 0
return 1 / PBR
return 0
|
mit
|
Python
|
c40a07e4ba1bfefd977bc9eea71abe5fcaf97370
|
Use custom exception in place of NotImplemented
|
gwhigs/digital-manifesto,gwhigs/digital-manifesto,gwhigs/digital-manifesto,gwhigs/digital-manifesto
|
manifestos/twitter.py
|
manifestos/twitter.py
|
import re
from django.conf import settings
import tweepy
TWITTER_CONSUMER_KEY = settings.TWITTER_CONSUMER_KEY
TWITTER_CONSUMER_SECRET = settings.TWITTER_CONSUMER_SECRET
TWITTER_ACCESS_KEY = settings.TWITTER_ACCESS_KEY
TWITTER_ACCESS_SECRET = settings.TWITTER_ACCESS_SECRET
class TwitterBotException(Exception):
pass
class TwitterBot(object):
"""
Creates tweets for the Digital Manifest Twitter Bot.
"""
def get_auth(self):
auth = tweepy.OAuthHandler(TWITTER_CONSUMER_KEY, TWITTER_CONSUMER_SECRET)
auth.set_access_token(TWITTER_ACCESS_KEY, TWITTER_ACCESS_SECRET)
return auth
def get_api(self):
auth = self.get_auth()
return tweepy.API(auth)
def tweet(self, text):
# Make sure we have legitimate text to tweet
if not isinstance(text, str):
raise TwitterBotException('Can only tweet strings.')
text = text.strip()
if not text:
raise TwitterBotException('Text has no content.')
# Escape SMS commands
pattern = re.compile(
r'^(ON|OFF|FOLLOW|F|UNFOLLOW|LEAVE|L|STOP|QUIT|END|CANCEL|'
r'UNSBSCRIBE|ARRET|D|M|RETWEET|RT|SET|WHOIS|W|GET|G|FAV|FAVE|'
r'FAVORITE|FAVORITE|\*|STATS|SUGGEST|SUG|S|WTF|HELP|INFO|AIDE|'
r'BLOCK|BLK|REPORT|REP)(\W)(.*)', re.I)
text = re.sub(pattern, '\\1\u200B\\2\\3', text)
# Truncate to 140 characters
text = text[:140]
# Tweet
api = self.get_api()
api.update_status(status=text)
|
import re
from django.conf import settings
import tweepy
TWITTER_CONSUMER_KEY = settings.TWITTER_CONSUMER_KEY
TWITTER_CONSUMER_SECRET = settings.TWITTER_CONSUMER_SECRET
TWITTER_ACCESS_KEY = settings.TWITTER_ACCESS_KEY
TWITTER_ACCESS_SECRET = settings.TWITTER_ACCESS_SECRET
class TwitterBot(object):
"""
Creates tweets for the Digital Manifest Twitter Bot.
"""
def get_auth(self):
auth = tweepy.OAuthHandler(TWITTER_CONSUMER_KEY, TWITTER_CONSUMER_SECRET)
auth.set_access_token(TWITTER_ACCESS_KEY, TWITTER_ACCESS_SECRET)
return auth
def get_api(self):
auth = self.get_auth()
return tweepy.API(auth)
def tweet(self, text):
if not isinstance(text, str):
raise NotImplemented('Can only tweet strings.')
# Escape SMS commands
pattern = re.compile(
r'^(ON|OFF|FOLLOW|F|UNFOLLOW|LEAVE|L|STOP|QUIT|END|CANCEL|'
r'UNSBSCRIBE|ARRET|D|M|RETWEET|RT|SET|WHOIS|W|GET|G|FAV|FAVE|'
r'FAVORITE|FAVORITE|\*|STATS|SUGGEST|SUG|S|WTF|HELP|INFO|AIDE|'
r'BLOCK|BLK|REPORT|REP)(\W)(.*)', re.I)
text = re.sub(pattern, '\\1\u200B\\2\\3', text)
text = text[:140]
api = self.get_api()
api.update_status(status=text)
|
mit
|
Python
|
4b4b689463c0e6d0db783a10fcf74b21fea60a68
|
Fix double repr.
|
nex3/pygments,Khan/pygments,dbrgn/pygments-mirror,dbrgn/pygments-mirror,kirbyfan64/pygments-unofficial,dbrgn/pygments-mirror,nex3/pygments,dbrgn/pygments-mirror,nsfmc/pygments,nsfmc/pygments,nsfmc/pygments,kirbyfan64/pygments-unofficial,Khan/pygments,kirbyfan64/pygments-unofficial,Khan/pygments,nsfmc/pygments,dbrgn/pygments-mirror,nsfmc/pygments,dbrgn/pygments-mirror,dbrgn/pygments-mirror,Khan/pygments,nsfmc/pygments,kirbyfan64/pygments-unofficial,dbrgn/pygments-mirror,kirbyfan64/pygments-unofficial,dbrgn/pygments-mirror,nex3/pygments,kirbyfan64/pygments-unofficial,nsfmc/pygments,nsfmc/pygments,Khan/pygments,kirbyfan64/pygments-unofficial,nsfmc/pygments,dbrgn/pygments-mirror,nex3/pygments,nsfmc/pygments,Khan/pygments,kirbyfan64/pygments-unofficial,nex3/pygments,nsfmc/pygments,kirbyfan64/pygments-unofficial,Khan/pygments,Khan/pygments,nex3/pygments,dbrgn/pygments-mirror,nsfmc/pygments,Khan/pygments,nex3/pygments,kirbyfan64/pygments-unofficial,nsfmc/pygments,kirbyfan64/pygments-unofficial,dbrgn/pygments-mirror,kirbyfan64/pygments-unofficial,Khan/pygments,dbrgn/pygments-mirror,nsfmc/pygments,Khan/pygments,nex3/pygments,nex3/pygments,Khan/pygments,Khan/pygments,kirbyfan64/pygments-unofficial,Khan/pygments,kirbyfan64/pygments-unofficial,dbrgn/pygments-mirror,nsfmc/pygments,nsfmc/pygments,kirbyfan64/pygments-unofficial,Khan/pygments,nex3/pygments,dbrgn/pygments-mirror,dbrgn/pygments-mirror,Khan/pygments,nex3/pygments,kirbyfan64/pygments-unofficial
|
pygments/formatters/other.py
|
pygments/formatters/other.py
|
# -*- coding: utf-8 -*-
"""
pygments.formatters.other
~~~~~~~~~~~~~~~~~~~~~~~~~
Other formatters: NullFormatter, RawTokenFormatter.
:copyright: 2006 by Georg Brandl, Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
from pygments.formatter import Formatter
__all__ = ['NullFormatter', 'RawTokenFormatter']
class NullFormatter(Formatter):
"""
Output the text unchanged without any formatting.
"""
def format(self, tokensource, outfile):
for ttype, value in tokensource:
outfile.write(value.encode(self.encoding))
class RawTokenFormatter(Formatter):
"""
Output a raw token representation for storing token streams.
The format is ``tokentype<TAB>repr(tokenstring)``
Additional options accepted:
``compress``
If set to "gz" or "bz2", compress the token stream with
the given compression algorithm (default: '').
"""
def __init__(self, **options):
Formatter.__init__(self, **options)
self.compress = options.get('compress', '')
def format(self, tokensource, outfile):
if self.compress == 'gz':
import gzip
outfile = gzip.GzipFile('', 'wb', 9, outfile)
write = outfile.write
flush = outfile.flush
elif self.compress == 'bz2':
import bz2
compressor = bz2.BZ2Compressor(9)
def write(text):
outfile.write(compressor.compress(text))
def flush():
outfile.write(compressor.flush())
outfile.flush()
else:
write = outfile.write
flush = outfile.flush
lasttype = None
lastval = u''
for ttype, value in tokensource:
value = repr(value)
if ttype is lasttype:
lastval += value
else:
if lasttype:
write("%s\t%s\n" % (lasttype, lastval))
lastval = value
lasttype = ttype
write("%s\t%s\n" % (lasttype, lastval))
flush()
|
# -*- coding: utf-8 -*-
"""
pygments.formatters.other
~~~~~~~~~~~~~~~~~~~~~~~~~
Other formatters: NullFormatter, RawTokenFormatter.
:copyright: 2006 by Georg Brandl, Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
from pygments.formatter import Formatter
__all__ = ['NullFormatter', 'RawTokenFormatter']
class NullFormatter(Formatter):
"""
Output the text unchanged without any formatting.
"""
def format(self, tokensource, outfile):
for ttype, value in tokensource:
outfile.write(value.encode(self.encoding))
class RawTokenFormatter(Formatter):
"""
Output a raw token representation for storing token streams.
The format is ``tokentype<TAB>repr(tokenstring)``
Additional options accepted:
``compress``
If set to "gz" or "bz2", compress the token stream with
the given compression algorithm (default: '').
"""
def __init__(self, **options):
Formatter.__init__(self, **options)
self.compress = options.get('compress', '')
def format(self, tokensource, outfile):
if self.compress == 'gz':
import gzip
outfile = gzip.GzipFile('', 'wb', 9, outfile)
write = outfile.write
flush = outfile.flush
elif self.compress == 'bz2':
import bz2
compressor = bz2.BZ2Compressor(9)
def write(text):
outfile.write(compressor.compress(text))
def flush():
outfile.write(compressor.flush())
outfile.flush()
else:
write = outfile.write
flush = outfile.flush
lasttype = None
lastval = u''
for ttype, value in tokensource:
value = repr(value)
if ttype is lasttype:
lastval += value
else:
if lasttype:
write("%s\t%r\n" % (lasttype, lastval))
lastval = value
lasttype = ttype
write("%s\t%r\n" % (lasttype, lastval))
flush()
|
bsd-2-clause
|
Python
|
2a7aee189dff539fe3cf8049319a2b09c6a0fbb1
|
add new filter to dataset config
|
matthias-k/pysaliency,matthias-k/pysaliency
|
pysaliency/dataset_config.py
|
pysaliency/dataset_config.py
|
from .datasets import read_hdf5
from .filter_datasets import (
filter_fixations_by_number,
filter_stimuli_by_number,
filter_stimuli_by_size,
train_split,
validation_split,
test_split
)
from schema import Schema, Optional
dataset_config_schema = Schema({
'stimuli': str,
'fixations': str,
Optional('filters', default=[]): [{
'type': str,
Optional('parameters', default={}): dict,
}],
})
def load_dataset_from_config(config):
config = dataset_config_schema.validate(config)
stimuli = read_hdf5(config['stimuli'])
fixations = read_hdf5(config['fixations'])
for filter_config in config['filters']:
stimuli, fixations = apply_dataset_filter_config(stimuli, fixations, filter_config)
return stimuli, fixations
def apply_dataset_filter_config(stimuli, fixations, filter_config):
filter_dict = {
'filter_fixations_by_number': add_stimuli_argument(filter_fixations_by_number),
'filter_stimuli_by_number': filter_stimuli_by_number,
'filter_stimuli_by_size': filter_stimuli_by_size,
'train_split': train_split,
'validation_split': validation_split,
'test_split': test_split,
}
if filter_config['type'] not in filter_dict:
raise ValueError("Invalid filter name: {}".format(filter_config['type']))
filter_fn = filter_dict[filter_config['type']]
return filter_fn(stimuli, fixations, **filter_config['parameters'])
def add_stimuli_argument(fn):
def wrapped(stimuli, fixations, **kwargs):
new_fixations = fn(fixations, **kwargs)
return stimuli, new_fixations
return wrapped
|
from .datasets import read_hdf5
from .filter_datasets import filter_fixations_by_number, filter_stimuli_by_number, train_split, validation_split, test_split
from schema import Schema, Optional
dataset_config_schema = Schema({
'stimuli': str,
'fixations': str,
Optional('filters', default=[]): [{
'type': str,
Optional('parameters', default={}): dict,
}],
})
def load_dataset_from_config(config):
config = dataset_config_schema.validate(config)
stimuli = read_hdf5(config['stimuli'])
fixations = read_hdf5(config['fixations'])
for filter_config in config['filters']:
stimuli, fixations = apply_dataset_filter_config(stimuli, fixations, filter_config)
return stimuli, fixations
def apply_dataset_filter_config(stimuli, fixations, filter_config):
filter_dict = {
'filter_fixations_by_number': add_stimuli_argument(filter_fixations_by_number),
'filter_stimuli_by_number': filter_stimuli_by_number,
'train_split': train_split,
'validation_split': validation_split,
'test_split': test_split,
}
if filter_config['type'] not in filter_dict:
raise ValueError("Invalid filter name: {}".format(filter_config['type']))
filter_fn = filter_dict[filter_config['type']]
return filter_fn(stimuli, fixations, **filter_config['parameters'])
def add_stimuli_argument(fn):
def wrapped(stimuli, fixations, **kwargs):
new_fixations = fn(fixations, **kwargs)
return stimuli, new_fixations
return wrapped
|
mit
|
Python
|
46e21ff57d47f1860d639972dc4eed1994a6cd50
|
remove print statements
|
crowd-course/scholars,crowd-course/scholars,crowd-course/scholars
|
scholars/authentication/pipeline.py
|
scholars/authentication/pipeline.py
|
import hashlib
from social_core.exceptions import AuthAlreadyAssociated, AuthException
def auto_logout(*args, **kwargs):
"""Do not compare current user with new one"""
return {'user': None}
def check_email_present(backend, uid, user=None, *args, **kwargs):
if not kwargs['details'].get('email'):
raise AuthException(backend, "Email wasn't provided by oauth provider")
def social_user(backend, uid, user=None, *args, **kwargs):
provider = backend.name
social = backend.strategy.storage.user.get_social_auth(provider, uid)
if social:
# can happen when user has multiple accounts with same email (apply email uniqueness strictly)
if user and social.user != user:
msg = 'This {0} account is already in use.'.format(provider)
raise AuthAlreadyAssociated(backend, msg)
elif not user:
user = social.user
return {'social': social,
'user': user,
'is_new': user is None,
'new_association': social is None}
def save_avatar(strategy, details, user=None, *args, **kwargs):
"""Get user avatar from social provider."""
if user:
backend_name = kwargs['backend'].__class__.__name__.lower()
response = kwargs.get('response', {})
avatar = None
if 'google-oauth2' in backend_name and response.get('image', {}).get('url'):
avatar = response['image']['url'].split('?')[0]
else:
avatar = 'http://www.gravatar.com/avatar/'
avatar += hashlib.md5(user.email.lower().encode('utf8')).hexdigest()
avatar += '?size=100'
if avatar and user.avatar != avatar:
user.avatar = avatar
strategy.storage.user.changed(user)
|
import hashlib
from social_core.exceptions import AuthAlreadyAssociated, AuthException
def auto_logout(*args, **kwargs):
"""Do not compare current user with new one"""
return {'user': None}
def check_email_present(backend, uid, user=None, *args, **kwargs):
if not kwargs['details'].get('email'):
raise AuthException(backend, "Email wasn't provided by oauth provider")
def social_user(backend, uid, user=None, *args, **kwargs):
provider = backend.name
social = backend.strategy.storage.user.get_social_auth(provider, uid)
if social:
# can happen when user has multiple accounts with same email (apply email uniqueness strictly)
print user
print social
if user and social.user != user:
msg = 'This {0} account is already in use.'.format(provider)
raise AuthAlreadyAssociated(backend, msg)
elif not user:
user = social.user
return {'social': social,
'user': user,
'is_new': user is None,
'new_association': social is None}
def save_avatar(strategy, details, user=None, *args, **kwargs):
"""Get user avatar from social provider."""
if user:
backend_name = kwargs['backend'].__class__.__name__.lower()
response = kwargs.get('response', {})
avatar = None
if 'google-oauth2' in backend_name and response.get('image', {}).get('url'):
avatar = response['image']['url'].split('?')[0]
else:
avatar = 'http://www.gravatar.com/avatar/'
avatar += hashlib.md5(user.email.lower().encode('utf8')).hexdigest()
avatar += '?size=100'
if avatar and user.avatar != avatar:
user.avatar = avatar
strategy.storage.user.changed(user)
|
mit
|
Python
|
28917935e5086ff6a03964babbb5c2e09957b582
|
Bump version
|
thombashi/pytablewriter
|
pytablewriter/__version__.py
|
pytablewriter/__version__.py
|
# encoding: utf-8
from datetime import datetime
__author__ = "Tsuyoshi Hombashi"
__copyright__ = "Copyright 2016-{}, {}".format(datetime.now().year, __author__)
__license__ = "MIT License"
__version__ = "0.47.0"
__maintainer__ = __author__
__email__ = "[email protected]"
|
# encoding: utf-8
from datetime import datetime
__author__ = "Tsuyoshi Hombashi"
__copyright__ = "Copyright 2016-{}, {}".format(datetime.now().year, __author__)
__license__ = "MIT License"
__version__ = "0.46.3"
__maintainer__ = __author__
__email__ = "[email protected]"
|
mit
|
Python
|
f5b8b4bafabc06504e2ee2e0571f2d8571db17bb
|
Update for v1.5.4
|
maxmind/MaxMind-DB-Reader-python,maxmind/MaxMind-DB-Reader-python,maxmind/MaxMind-DB-Reader-python
|
maxminddb/__init__.py
|
maxminddb/__init__.py
|
# pylint:disable=C0111
import os
import maxminddb.reader
try:
import maxminddb.extension
except ImportError:
maxminddb.extension = None
from maxminddb.const import (
MODE_AUTO,
MODE_MMAP,
MODE_MMAP_EXT,
MODE_FILE,
MODE_MEMORY,
MODE_FD,
)
from maxminddb.decoder import InvalidDatabaseError
def open_database(database, mode=MODE_AUTO):
"""Open a Maxmind DB database
Arguments:
database -- A path to a valid MaxMind DB file such as a GeoIP2 database
file, or a file descriptor in the case of MODE_FD.
mode -- mode to open the database with. Valid mode are:
* MODE_MMAP_EXT - use the C extension with memory map.
* MODE_MMAP - read from memory map. Pure Python.
* MODE_FILE - read database as standard file. Pure Python.
* MODE_MEMORY - load database into memory. Pure Python.
* MODE_FD - the param passed via database is a file descriptor, not
a path. This mode implies MODE_MEMORY.
* MODE_AUTO - tries MODE_MMAP_EXT, MODE_MMAP, MODE_FILE in that
order. Default mode.
"""
has_extension = maxminddb.extension and hasattr(maxminddb.extension, "Reader")
if (mode == MODE_AUTO and has_extension) or mode == MODE_MMAP_EXT:
if not has_extension:
raise ValueError(
"MODE_MMAP_EXT requires the maxminddb.extension module to be available"
)
return maxminddb.extension.Reader(database)
if mode in (MODE_AUTO, MODE_MMAP, MODE_FILE, MODE_MEMORY, MODE_FD):
return maxminddb.reader.Reader(database, mode)
raise ValueError("Unsupported open mode: {0}".format(mode))
def Reader(database): # pylint: disable=invalid-name
"""This exists for backwards compatibility. Use open_database instead"""
return open_database(database)
__title__ = "maxminddb"
__version__ = "1.5.4"
__author__ = "Gregory Oschwald"
__license__ = "Apache License, Version 2.0"
__copyright__ = "Copyright 2013-2019 Maxmind, Inc."
|
# pylint:disable=C0111
import os
import maxminddb.reader
try:
import maxminddb.extension
except ImportError:
maxminddb.extension = None
from maxminddb.const import (
MODE_AUTO,
MODE_MMAP,
MODE_MMAP_EXT,
MODE_FILE,
MODE_MEMORY,
MODE_FD,
)
from maxminddb.decoder import InvalidDatabaseError
def open_database(database, mode=MODE_AUTO):
"""Open a Maxmind DB database
Arguments:
database -- A path to a valid MaxMind DB file such as a GeoIP2 database
file, or a file descriptor in the case of MODE_FD.
mode -- mode to open the database with. Valid mode are:
* MODE_MMAP_EXT - use the C extension with memory map.
* MODE_MMAP - read from memory map. Pure Python.
* MODE_FILE - read database as standard file. Pure Python.
* MODE_MEMORY - load database into memory. Pure Python.
* MODE_FD - the param passed via database is a file descriptor, not
a path. This mode implies MODE_MEMORY.
* MODE_AUTO - tries MODE_MMAP_EXT, MODE_MMAP, MODE_FILE in that
order. Default mode.
"""
has_extension = maxminddb.extension and hasattr(maxminddb.extension, "Reader")
if (mode == MODE_AUTO and has_extension) or mode == MODE_MMAP_EXT:
if not has_extension:
raise ValueError(
"MODE_MMAP_EXT requires the maxminddb.extension module to be available"
)
return maxminddb.extension.Reader(database)
if mode in (MODE_AUTO, MODE_MMAP, MODE_FILE, MODE_MEMORY, MODE_FD):
return maxminddb.reader.Reader(database, mode)
raise ValueError("Unsupported open mode: {0}".format(mode))
def Reader(database): # pylint: disable=invalid-name
"""This exists for backwards compatibility. Use open_database instead"""
return open_database(database)
__title__ = "maxminddb"
__version__ = "1.5.3"
__author__ = "Gregory Oschwald"
__license__ = "Apache License, Version 2.0"
__copyright__ = "Copyright 2013-2019 Maxmind, Inc."
|
apache-2.0
|
Python
|
5f9da62f28e61636f33495058f3ea4a98a9d3c19
|
add invalid separators to test
|
geometalab/osmaxx,geometalab/osmaxx-frontend,geometalab/osmaxx,geometalab/osmaxx-frontend,geometalab/osmaxx-frontend,geometalab/osmaxx,geometalab/osmaxx,geometalab/osmaxx-frontend
|
tests/inside_worker_test/cast_to_float_or_null_test.py
|
tests/inside_worker_test/cast_to_float_or_null_test.py
|
import pytest
import sqlalchemy
from tests.inside_worker_test.conftest import slow
@pytest.fixture(params=[2, 2.2, 3.898986, 0.6, 0])
def valid_float_representation(request):
return request.param
@pytest.fixture(params=["a2", "10b", "3.898986c", "3d.898986", "e6.9", "f0,9" "0,g9" "0,9h", "0,6", "123'456", "1 290", None])
def invalid_floats(request):
return request.param
@slow
def test_cast_to_float_null_if_failed_returns_floats_with_valid_floats(osmaxx_functions, valid_float_representation):
engine = osmaxx_functions
result = engine.execute(
sqlalchemy.text(
"select cast_to_float_null_if_failed($${}$$) as float_value;".format(valid_float_representation)
).execution_options(autocommit=True)
)
assert result.rowcount == 1
results = result.fetchall()
assert len(results) == 1
assert results[0]['float_value'] == float(valid_float_representation)
@slow
def test_cast_to_float_null_if_failed_returns_null_with_invalid_floats(osmaxx_functions, invalid_floats):
engine = osmaxx_functions
result = engine.execute(
sqlalchemy.text(
"select cast_to_float_null_if_failed($${}$$) as float_value;".format(invalid_floats)
).execution_options(autocommit=True)
)
assert result.rowcount == 1
results = result.fetchall()
assert len(results) == 1
assert results[0]['float_value'] is None
|
import pytest
import sqlalchemy
from tests.inside_worker_test.conftest import slow
@pytest.fixture(params=[2, 2.2, 3.898986, "3.898986", "6", "0.2", 0.6])
def valid_float_representation(request):
return request.param
@pytest.fixture(params=["a2", "10b", "3.898986k", "3k.898986", "l6.9"])
def invalid_floats(request):
return request.param
@slow
def test_cast_to_float_null_if_failed_returns_floats_with_valid_floats(osmaxx_functions, valid_float_representation):
engine = osmaxx_functions
result = engine.execute(
sqlalchemy.text(
"select cast_to_float_null_if_failed($${}$$) as float_value;".format(valid_float_representation)
).execution_options(autocommit=True)
)
assert result.rowcount == 1
results = result.fetchall()
assert len(results) == 1
assert results[0]['float_value'] == float(valid_float_representation)
@slow
def test_cast_to_float_null_if_failed_returns_null_with_invalid_floats(osmaxx_functions, invalid_floats):
engine = osmaxx_functions
result = engine.execute(
sqlalchemy.text(
"select cast_to_float_null_if_failed($${}$$) as float_value;".format(invalid_floats)
).execution_options(autocommit=True)
)
assert result.rowcount == 1
results = result.fetchall()
assert len(results) == 1
assert results[0]['float_value'] is None
|
mit
|
Python
|
b3e1b6bd9f79427142ebfe4b57892d1cf3a89e86
|
Implement the latest test spec for update which requires most of the parameters found in an example usage of mlab-ns against npad.
|
m-lab/ooni-support,hellais/ooni-support,m-lab/ooni-support,hellais/ooni-support
|
mlab-ns-simulator/mlabsim/update.py
|
mlab-ns-simulator/mlabsim/update.py
|
"""
This approximates the mlab-ns slice information gathering. The actual
system uses nagios and we're not certain about the details. This much
simplified version is just a web URL anyone may PUT data into.
Warning: This doesn't have any security properties! We need a way to
prevent the addition of malicious entries.
"""
import json
from twisted.web import resource
from twisted.web.server import NOT_DONE_YET
DBEntryNames = [
'city',
'country',
'fqdn',
'ip',
'port',
'site',
'tool_extra',
]
class UpdateResource (resource.Resource):
def __init__(self, db):
"""db is a dict which will be modified to map { fqdn -> other_details }"""
resource.Resource.__init__(self)
self._db = db
def render_PUT(self, request):
dbentry = {}
for name in DBEntryNames:
# BUG: Multiple values not handled nor tested:
[value] = request.args[name]
if name == 'tool_extra':
try:
value = json.loads(value)
except ValueError:
request.setResponseCode(400, 'invalid')
request.finish()
return NOT_DONE_YET
dbentry[name] = value
self._db[dbentry['fqdn']] = dbentry
request.setResponseCode(200, 'ok')
request.finish()
return NOT_DONE_YET
|
"""
This approximates the mlab-ns slice information gathering. The actual
system uses nagios and we're not certain about the details. This much
simplified version is just a web URL anyone may PUT data into.
Warning: This doesn't have any security properties! We need a way to
prevent the addition of malicious entries.
"""
import json
from twisted.web import resource
from twisted.web.server import NOT_DONE_YET
class UpdateResource (resource.Resource):
def __init__(self, db):
"""db is a dict which will be modified to map { fqdn -> other_details }"""
resource.Resource.__init__(self)
self._db = db
def render_PUT(self, request):
[fqdn, tool_extra_json] = self._parse_args(request.args)
try:
tool_extra = json.loads(tool_extra_json)
except ValueError:
request.setResponseCode(400, 'invalid')
request.finish()
else:
self._db[fqdn] = {'tool_extra': tool_extra}
request.setResponseCode(200, 'ok')
request.finish()
return NOT_DONE_YET
def _parse_args(self, args):
for name in ['fqdn', 'tool_extra']:
[val] = args[name]
yield val
|
apache-2.0
|
Python
|
45a24fae9f5e1ee24c2e0283746224e51f718cc2
|
Remove redundant test of permissions parameter
|
simonjbeaumont/planex,djs55/planex,simonjbeaumont/planex,djs55/planex,simonjbeaumont/planex,djs55/planex
|
planex/tree.py
|
planex/tree.py
|
"""
In-memory 'filesystem' library
"""
import os
class Tree(object):
"""
An in-memory 'filesystem' which accumulates file changes
to be written later.
"""
def __init__(self):
self.tree = {}
def append(self, filename, contents=None, permissions=None):
"""
Append contents to filename in the in-memory filesystem.
"""
node = self.tree.get(filename, {})
if contents:
node['contents'] = node.get('contents', '') + contents
if permissions:
if 'permissions' in node and \
node['permissions'] != permissions:
raise Exception("Inconsistent permissions for '%s'" % filename)
node['permissions'] = permissions
self.tree[filename] = node
def apply(self, basepath):
"""
Save in-memory filesystem to disk.
"""
for subpath, node in self.tree.items():
permissions = node.get("permissions", 0o644)
contents = node.get("contents", "")
fullpath = os.path.join(basepath, subpath)
if not os.path.isdir(os.path.dirname(fullpath)):
os.makedirs(os.path.dirname(fullpath))
out = os.open(os.path.join(basepath, subpath),
os.O_WRONLY | os.O_CREAT, permissions)
os.write(out, contents)
os.close(out)
def __repr__(self):
res = ""
for subpath, node in self.tree.items():
permissions = node.get("permissions", 0o644)
contents = node.get("contents", "")
res += "%s (0o%o):\n" % (subpath, permissions)
res += contents
res += "\n\n"
return res
|
"""
In-memory 'filesystem' library
"""
import os
class Tree(object):
"""
An in-memory 'filesystem' which accumulates file changes
to be written later.
"""
def __init__(self):
self.tree = {}
def append(self, filename, contents=None, permissions=None):
"""
Append contents to filename in the in-memory filesystem.
"""
node = self.tree.get(filename, {})
if contents:
node['contents'] = node.get('contents', '') + contents
if permissions:
if 'permissions' in node and \
node['permissions'] != permissions:
raise Exception("Inconsistent permissions for '%s'" % filename)
if permissions:
node['permissions'] = permissions
else:
node['permissions'] = 0o644
self.tree[filename] = node
def apply(self, basepath):
"""
Save in-memory filesystem to disk.
"""
for subpath, node in self.tree.items():
permissions = node.get("permissions", 0o644)
contents = node.get("contents", "")
fullpath = os.path.join(basepath, subpath)
if not os.path.isdir(os.path.dirname(fullpath)):
os.makedirs(os.path.dirname(fullpath))
out = os.open(os.path.join(basepath, subpath),
os.O_WRONLY | os.O_CREAT, permissions)
os.write(out, contents)
os.close(out)
def __repr__(self):
res = ""
for subpath, node in self.tree.items():
permissions = node.get("permissions", 0o644)
contents = node.get("contents", "")
res += "%s (0o%o):\n" % (subpath, permissions)
res += contents
res += "\n\n"
return res
|
lgpl-2.1
|
Python
|
7ad7f0231bc50c58f9b606cbab36d6cd98e141ec
|
Make the error message clearer (#944)
|
akaszynski/vtkInterface
|
pyvista/plotting/__init__.py
|
pyvista/plotting/__init__.py
|
"""Plotting routines."""
from .colors import (color_char_to_word, get_cmap_safe, hex_to_rgb, hexcolors,
string_to_rgb, PARAVIEW_BACKGROUND)
from .export_vtkjs import export_plotter_vtkjs, get_vtkjs_url
from .helpers import plot, plot_arrows, plot_compare_four, plot_itk
from .itkplotter import PlotterITK
from .plotting import BasePlotter, Plotter, close_all
from .renderer import CameraPosition, Renderer, scale_point
from .theme import (DEFAULT_THEME, FONT_KEYS, MAX_N_COLOR_BARS,
parse_color, parse_font_family, rcParams, set_plot_theme)
from .tools import (create_axes_marker, create_axes_orientation_box,
opacity_transfer_function, system_supports_plotting)
from .widgets import WidgetHelper
class QtDeprecationError(Exception):
"""Depreciation Error for features that moved to `pyvistaqt`."""
message = """`{}` has moved to pyvistaqt.
You can install this from PyPI with: `pip install pyvistaqt`
Then import it via: `from pyvistaqt import {}`
`{}` is no longer accessible by `pyvista.{}`
See https://github.com/pyvista/pyvistaqt
"""
def __init__(self, feature_name):
"""Empty init."""
Exception.__init__(self, self.message.format(*[feature_name] * 4))
class BackgroundPlotter():
"""This class has been moved to pyvistaqt."""
def __init__(self, *args, **kwargs):
"""Empty init."""
raise QtDeprecationError('BackgroundPlotter')
class QtInteractor():
"""This class has been moved to pyvistaqt."""
def __init__(self, *args, **kwargs):
"""Empty init."""
raise QtDeprecationError('QtInteractor')
|
"""Plotting routines."""
from .colors import (color_char_to_word, get_cmap_safe, hex_to_rgb, hexcolors,
string_to_rgb, PARAVIEW_BACKGROUND)
from .export_vtkjs import export_plotter_vtkjs, get_vtkjs_url
from .helpers import plot, plot_arrows, plot_compare_four, plot_itk
from .itkplotter import PlotterITK
from .plotting import BasePlotter, Plotter, close_all
from .renderer import CameraPosition, Renderer, scale_point
from .theme import (DEFAULT_THEME, FONT_KEYS, MAX_N_COLOR_BARS,
parse_color, parse_font_family, rcParams, set_plot_theme)
from .tools import (create_axes_marker, create_axes_orientation_box,
opacity_transfer_function, system_supports_plotting)
from .widgets import WidgetHelper
class QtDeprecationError(Exception):
"""Depreciation Error for features that moved to `pyvistaqt`."""
message = """`{}` has moved to pyvistaqt.
You can install this from PyPI with: `pip install pyvistaqt`
See https://github.com/pyvista/pyvistaqt
"""
def __init__(self, feature_name):
"""Empty init."""
Exception.__init__(self, self.message.format(feature_name))
class BackgroundPlotter():
"""This class has been moved to pyvistaqt."""
def __init__(self, *args, **kwargs):
"""Empty init."""
raise QtDeprecationError('BackgroundPlotter')
class QtInteractor():
"""This class has been moved to pyvistaqt."""
def __init__(self, *args, **kwargs):
"""Empty init."""
raise QtDeprecationError('QtInteractor')
|
mit
|
Python
|
f53e7452676e6ee903a4d8c350fa356a718a5fcc
|
Add a test for file: and path: searches for non-ASCII things.
|
pelmers/dxr,pelmers/dxr,pelmers/dxr,pelmers/dxr,pelmers/dxr,pelmers/dxr,pelmers/dxr
|
tests/test_path_file_filters/test_path_file_filters.py
|
tests/test_path_file_filters/test_path_file_filters.py
|
# -*- coding: utf-8 -*-
from nose.tools import raises
from dxr.testing import DxrInstanceTestCase
class PathAndFileFilterTests(DxrInstanceTestCase):
"""Basic tests for functionality of the 'path:' and 'file:' filters"""
def test_basic_path_results(self):
"""Check that a 'path:' result includes both file and folder matches."""
self.found_files_eq('path:fish', ['fish1', 'fishy_folder/fish2',
'fishy_folder/gill', 'folder/fish3',
'folder/fish4'])
def test_basic_file_results(self):
"""Check that a 'file:' result includes only file matches."""
self.found_files_eq('file:fish', ['fish1', 'fishy_folder/fish2',
'folder/fish3', 'folder/fish4'])
def test_path_and_file_line_promotion(self):
"""Make sure promotion of a 'path:' or 'file:' filter to a LINE query
works.
"""
self.found_files_eq('path:fish fins', ['folder/fish3'])
self.found_files_eq('file:fish fins', ['folder/fish3'])
# This fails because we currently intentionally exclude folder paths from
# FILE query results - remove the @raises line when that's changed. (Of
# course then other tests here will need to be updated as well.)
@raises(AssertionError)
def test_empty_folder_path_results(self):
"""Check that 'path:' results include empty folders."""
self.found_files_eq('path:empty_folder', ['empty_folder'])
def test_basic_wildcard(self):
"""Test basic wildcard functionality."""
# 'path:' and 'file:' currently have the same underlying wildcard
# support, so we're spreading out the basic wildcard testing over both.
self.found_files_eq('path:fish?_fo*er',
['fishy_folder/fish2', 'fishy_folder/gill'])
self.found_files_eq('file:fish[14]', ['fish1', 'folder/fish4'])
def test_unicode(self):
"""Make sure searching for non-ASCII names works."""
self.found_files_eq(u'file:fre\u0301mium*', [u'fre\u0301mium.txt'])
# This one fails because é is normalized differently in ES than here:
# self.found_files_eq(u'file:frémium*', [u'frémium.txt'])
|
from nose.tools import raises
from dxr.testing import DxrInstanceTestCase
class PathAndFileFilterTests(DxrInstanceTestCase):
"""Basic tests for functionality of the 'path:' and 'file:' filters"""
def test_basic_path_results(self):
"""Check that a 'path:' result includes both file and folder matches."""
self.found_files_eq('path:fish', ['fish1', 'fishy_folder/fish2',
'fishy_folder/gill', 'folder/fish3',
'folder/fish4'])
def test_basic_file_results(self):
"""Check that a 'file:' result includes only file matches."""
self.found_files_eq('file:fish', ['fish1', 'fishy_folder/fish2',
'folder/fish3', 'folder/fish4'])
def test_path_and_file_line_promotion(self):
"""Make sure promotion of a 'path:' or 'file:' filter to a LINE query
works.
"""
self.found_files_eq('path:fish fins', ['folder/fish3'])
self.found_files_eq('file:fish fins', ['folder/fish3'])
# This fails because we currently intentionally exclude folder paths from
# FILE query results - remove the @raises line when that's changed. (Of
# course then other tests here will need to be updated as well.)
@raises(AssertionError)
def test_empty_folder_path_results(self):
"""Check that 'path:' results include empty folders."""
self.found_files_eq('path:empty_folder', ['empty_folder'])
def test_basic_wildcard(self):
"""Test basic wildcard functionality."""
# 'path:' and 'file:' currently have the same underlying wildcard
# support, so we're spreading out the basic wildcard testing over both.
self.found_files_eq('path:fish?_fo*er',
['fishy_folder/fish2', 'fishy_folder/gill'])
self.found_files_eq('file:fish[14]', ['fish1', 'folder/fish4'])
|
mit
|
Python
|
d22bd8970b973fb58f1358b62cf8c27f826aa407
|
update example
|
hhatto/pgmagick,hhatto/pgmagick,hhatto/pgmagick
|
example/gravity.py
|
example/gravity.py
|
from pgmagick import Image, Geometry, Color, TypeMetric, \
DrawableText, DrawableList, DrawableGravity, GravityType
im = Image(Geometry(600, 600), Color("transparent"))
im.fontPointsize(30)
im.fillColor(Color("#f010f0"))
im.strokeColor(Color("transparent"))
im.font("Vera.ttf")
dl = DrawableList()
dl.append(DrawableGravity(GravityType.CenterGravity))
dl.append(DrawableText(0, 0, "center"))
tm = TypeMetric()
im.fontTypeMetrics("northn", tm)
font_height = tm.textHeight()
dl.append(DrawableGravity(GravityType.NorthGravity))
dl.append(DrawableText(0, font_height / 2., "north"))
dl.append(DrawableGravity(GravityType.WestGravity))
dl.append(DrawableText(0, 0, "west"))
dl.append(DrawableGravity(GravityType.EastGravity))
dl.append(DrawableText(0, 0, "east"))
dl.append(DrawableText(0, 20, "east-long"))
dl.append(DrawableGravity(GravityType.SouthGravity))
dl.append(DrawableText(0, 0, "south"))
dl.append(DrawableGravity(GravityType.NorthWestGravity))
dl.append(DrawableText(0, font_height / 2., "north-west"))
dl.append(DrawableGravity(GravityType.NorthEastGravity))
dl.append(DrawableText(0, font_height / 2., "north-east"))
dl.append(DrawableGravity(GravityType.SouthWestGravity))
dl.append(DrawableText(0, 0, "south-west"))
dl.append(DrawableGravity(GravityType.SouthEastGravity))
dl.append(DrawableText(0, 0, "south-east"))
im.draw(dl)
im.write("test.png")
|
from pgmagick import Image, Geometry, Color, TypeMetric, \
DrawableText, DrawableList, DrawableGravity, GravityType
im = Image(Geometry(600, 600), Color("transparent"))
im.fontPointsize(30)
im.fillColor(Color("#f010f0"))
im.strokeColor(Color("transparent"))
im.font("Vera.ttf")
dl = DrawableList()
dl.append(DrawableGravity(GravityType.CenterGravity))
dl.append(DrawableText(0, 0, "center"))
tm = TypeMetric()
im.fontTypeMetrics("northn", tm)
font_height = tm.textHeight()
dl.append(DrawableGravity(GravityType.NorthGravity))
dl.append(DrawableText(0, font_height / 2., "north"))
dl.append(DrawableGravity(GravityType.WestGravity))
dl.append(DrawableText(0, 0, "west"))
dl.append(DrawableGravity(GravityType.EastGravity))
dl.append(DrawableText(0, 0, "east"))
dl.append(DrawableGravity(GravityType.SouthGravity))
dl.append(DrawableText(0, 0, "south"))
dl.append(DrawableGravity(GravityType.NorthWestGravity))
dl.append(DrawableText(0, font_height / 2., "north-west"))
dl.append(DrawableGravity(GravityType.NorthEastGravity))
dl.append(DrawableText(0, font_height / 2., "north-east"))
dl.append(DrawableGravity(GravityType.SouthWestGravity))
dl.append(DrawableText(0, 0, "south-west"))
dl.append(DrawableGravity(GravityType.SouthEastGravity))
dl.append(DrawableText(0, 0, "south-east"))
im.draw(dl)
im.write("test.png")
|
mit
|
Python
|
73e99078b3bce587e059b1a15dbb7f94be70dd8d
|
enable the possibility of success
|
open-power/op-test-framework,open-power/op-test-framework,open-power/op-test-framework
|
testcases/OpalMsglog.py
|
testcases/OpalMsglog.py
|
#!/usr/bin/python2
# OpenPOWER Automated Test Project
#
# Contributors Listed Below - COPYRIGHT 2017
# [+] International Business Machines Corp.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied. See the License for the specific language governing
# permissions and limitations under the License.
#
import unittest
import OpTestConfiguration
from common.OpTestSystem import OpSystemState
from common.OpTestConstants import OpTestConstants as BMC_CONST
from common.Exceptions import CommandFailed
class OpalMsglog():
def setUp(self):
conf = OpTestConfiguration.conf
self.cv_HOST = conf.host()
self.cv_IPMI = conf.ipmi()
self.cv_SYSTEM = conf.system()
def runTest(self):
self.setup_test()
try:
log_entries = self.c.run_command("grep ',[0-4]\]' /sys/firmware/opal/msglog")
msg = '\n'.join(filter(None, log_entries))
self.assertTrue( len(log_entries) == 0, "Warnings/Errors in OPAL log:\n%s" % msg)
except CommandFailed as cf:
if cf.exitcode is 1 and len(cf.output) is 0:
pass
else:
raise cf
class Skiroot(OpalMsglog, unittest.TestCase):
def setup_test(self):
self.cv_SYSTEM.goto_state(OpSystemState.PETITBOOT_SHELL)
self.c = self.cv_SYSTEM.sys_get_ipmi_console()
self.cv_SYSTEM.host_console_unique_prompt()
class Host(OpalMsglog, unittest.TestCase):
def setup_test(self):
self.cv_SYSTEM.goto_state(OpSystemState.OS)
self.c = self.cv_SYSTEM.host().get_ssh_connection()
|
#!/usr/bin/python2
# OpenPOWER Automated Test Project
#
# Contributors Listed Below - COPYRIGHT 2017
# [+] International Business Machines Corp.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied. See the License for the specific language governing
# permissions and limitations under the License.
#
import unittest
import OpTestConfiguration
from common.OpTestSystem import OpSystemState
from common.OpTestConstants import OpTestConstants as BMC_CONST
class OpalMsglog():
def setUp(self):
conf = OpTestConfiguration.conf
self.cv_HOST = conf.host()
self.cv_IPMI = conf.ipmi()
self.cv_SYSTEM = conf.system()
def runTest(self):
self.setup_test()
log_entries = self.c.run_command("grep ',[0-4]\]' /sys/firmware/opal/msglog")
msg = '\n'.join(filter(None, log_entries))
self.assertTrue( len(log_entries) == 0, "Warnings/Errors in OPAL log:\n%s" % msg)
class Skiroot(OpalMsglog, unittest.TestCase):
def setup_test(self):
self.cv_SYSTEM.goto_state(OpSystemState.PETITBOOT_SHELL)
self.c = self.cv_SYSTEM.sys_get_ipmi_console()
self.cv_SYSTEM.host_console_unique_prompt()
class Host(OpalMsglog, unittest.TestCase):
def setup_test(self):
self.cv_SYSTEM.goto_state(OpSystemState.OS)
self.c = self.cv_SYSTEM.host().get_ssh_connection()
|
apache-2.0
|
Python
|
6cb0822aade07999d54e5fcd19eb2c7322abc80a
|
Improve performance @ Measurement Admin
|
sigurdsa/angelika-api
|
measurement/admin.py
|
measurement/admin.py
|
from django.contrib import admin
from .models import Measurement
class MeasurementAdmin(admin.ModelAdmin):
model = Measurement
def get_queryset(self, request):
return super(MeasurementAdmin, self).get_queryset(request).select_related('patient__user')
admin.site.register(Measurement, MeasurementAdmin)
|
from django.contrib import admin
from .models import Measurement
admin.site.register(Measurement)
|
mit
|
Python
|
24b2509b1605dfd6d3eb325ed946c3d23441b969
|
use Python's QT stuff
|
visionegg/visionegg,visionegg/visionegg,visionegg/visionegg,visionegg/visionegg,visionegg/visionegg
|
demo/quicktime.py
|
demo/quicktime.py
|
#!/usr/bin/env python
"""Display quicktime movie."""
import os, sys
import VisionEgg
from VisionEgg.Core import *
from VisionEgg.Text import *
from VisionEgg.Textures import *
from VisionEgg.QuickTime import new_movie_from_filename, MovieTexture
screen = get_default_screen()
screen.set(bgcolor=(0,0,0))
if len(sys.argv) > 1:
filename = sys.argv[1]
else:
filename = os.path.join(VisionEgg.config.VISIONEGG_SYSTEM_DIR,"data","water.mov")
movie = new_movie_from_filename(filename) # movie is type Carbon.Qt.Movie
bounds = movie.GetMovieBox()
width = bounds[2]-bounds[0]
height = bounds[3]-bounds[1]
scale_x = screen.size[0]/float(width)
scale_y = screen.size[1]/float(height)
scale = min(scale_x,scale_y) # maintain aspect ratio
movie_texture = MovieTexture(movie=movie)
stimulus = TextureStimulus(
texture=movie_texture,
position = (screen.size[0]/2.0,screen.size[1]/2.0),
anchor = 'center',
mipmaps_enabled = False, # can't do mipmaps with QuickTime movies
shrink_texture_ok = True,
size = (width*scale, height*scale),
)
text = Text( text = "Vision Egg QuickTime movie demo - Press any key to quit",
position = (screen.size[0]/2,screen.size[1]),
anchor = 'top',
color = (1.0, 1.0, 1.0),
)
viewport = Viewport(screen=screen,
stimuli=[stimulus, text])
movie.StartMovie()
frame_timer = FrameTimer()
while not pygame.event.peek((pygame.locals.QUIT,
pygame.locals.KEYDOWN,
pygame.locals.MOUSEBUTTONDOWN)):
movie.MoviesTask(0)
screen.clear()
viewport.draw()
swap_buffers() # display the frame we've drawn in back buffer
frame_timer.tick()
if movie.IsMovieDone():
movie.GoToBeginningOfMovie()
frame_timer.print_histogram()
|
#!/usr/bin/env python
"""Display quicktime movie."""
import os
import VisionEgg
from VisionEgg.Core import *
from VisionEgg.Text import *
from VisionEgg.Textures import *
from VisionEgg.QuickTime import *
screen = get_default_screen()
screen.set(bgcolor=(0,0,0))
filename = os.path.join(VisionEgg.config.VISIONEGG_SYSTEM_DIR,"data","water.mov")
movie = Movie(filename)
left, bottom, right, top = movie.get_box()
width,height = abs(right-left), abs(top-bottom)
scale_x = screen.size[0]/float(width)
scale_y = screen.size[1]/float(height)
scale = min(scale_x,scale_y) # maintain aspect ratio
movie_texture = MovieTexture(movie=movie)
stimulus = TextureStimulus(
texture=movie_texture,
position = (screen.size[0]/2.0,screen.size[1]/2.0),
anchor = 'center',
mipmaps_enabled = False, # can't do mipmaps with QuickTime movies
shrink_texture_ok = True,
size = (width*scale, height*scale),
)
text = Text( text = "Vision Egg QuickTime movie demo - Press any key to quit",
position = (screen.size[0]/2,screen.size[1]),
anchor = 'top',
color = (1.0, 1.0, 1.0),
)
viewport = Viewport(screen=screen,
stimuli=[stimulus, text])
movie.start()
frame_timer = FrameTimer()
while not pygame.event.peek((pygame.locals.QUIT,
pygame.locals.KEYDOWN,
pygame.locals.MOUSEBUTTONDOWN)):
movie.task()
screen.clear()
viewport.draw()
swap_buffers() # display the frame we've drawn in back buffer
frame_timer.tick()
if movie.is_done():
movie.go_to_beginning()
frame_timer.print_histogram()
|
lgpl-2.1
|
Python
|
c92caa1f00c984cf839ccf7c645d207e100eb874
|
Add test_invalid_image to test_image_validation module
|
mozilla-services/pageshot,mozilla-services/screenshots,mozilla-services/screenshots,mozilla-services/pageshot,mozilla-services/screenshots,mozilla-services/pageshot,mozilla-services/pageshot,mozilla-services/screenshots
|
test/server/test_image_validation.py
|
test/server/test_image_validation.py
|
from urlparse import urljoin
from clientlib import (
make_example_shot,
make_random_id,
screenshots_session,
example_images
)
import random, string
# Hack to make this predictable:
random.seed(0)
def test_invalid_image_url():
with screenshots_session() as user:
shot_id = make_random_id() + "/test.com"
shot_data = urljoin(user.backend, "data/" + shot_id)
shot_json = make_example_shot(user.deviceId)
invalid_url = "https://example.com/?aaA=bbb=\"); background-color: red;"
for clip_id in shot_json['clips']:
shot_json['clips'][clip_id]['image']['url'] = invalid_url
break
resp = user.session.put(
shot_data,
json=shot_json,
)
print(resp.text)
assert resp.status_code == 500 # assertion failure on clip image url
def test_invalid_data_image():
with screenshots_session() as user:
shot_id = make_random_id() + "/test.com"
shot_data = urljoin(user.backend, "data/" + shot_id)
shot_json = make_example_shot(user.deviceId)
valid_data_image = example_images['url']
if "iVBORw0KGgo" in valid_data_image:
print(valid_data_image)
def test_invalid_data_image_decoded():
pass
def test_invalid_data_url():
pass
if __name__ == "__main__":
test_invalid_data_image()
test_invalid_data_image_decoded()
test_invalid_data_url()
|
from urlparse import urljoin
from clientlib import (
make_example_shot,
make_random_id,
screenshots_session,
example_images
)
import random
# Hack to make this predictable:
random.seed(0)
def test_invalid_image_url():
with screenshots_session() as user:
shot_id = make_random_id() + "/test.com"
shot_data = urljoin(user.backend, "data/" + shot_id)
shot_json = make_example_shot(user.deviceId)
invalid_url = "https://example.com/?aaA=bbb=\"); background-color: red;"
for clip_id in shot_json['clips']:
shot_json['clips'][clip_id]['image']['url'] = invalid_url
break
resp = user.session.put(
shot_data,
json=shot_json,
)
print(resp.text)
assert resp.status_code == 500 # assertion failure on clip image url
def test_invalid_data_image():
with screenshots_session() as user:
shot_url = user.create_shot(docTitle="TEST_JPEG", image_content_type="application/pdf", image_index=0)
shot_page = user.read_shot(shot_url)
assert shot_page["clip_content_type"] != "image/jpeg"
def test_invalid_data_image_decoded():
pass
def test_invalid_data_url():
pass
if __name__ == "__main__":
test_invalid_data_image()
test_invalid_data_image_decoded()
test_invalid_data_url()
|
mpl-2.0
|
Python
|
33121b74419e9913e46e183914805d4a9db8f742
|
fix test to look for email instead of username
|
nicole-a-tesla/meetup.pizza,nicole-a-tesla/meetup.pizza
|
meetuppizza/tests.py
|
meetuppizza/tests.py
|
from django.test import TestCase
from django.contrib.auth.models import User
from django.test import Client
from meetuppizza.forms import RegistrationForm
import pdb
class Test(TestCase):
def setUp(self):
self.params = {
'username':'Bjorn',
'email':'[email protected]',
'password1':'bjornbjorn',
'password2':'bjornbjorn'
}
def test_landing_page_is_there(self):
response = self.client.get('/')
self.assertEqual(response.status_code, 200)
def test_page_contains_pizza(self):
response = self.client.get('/')
self.assertContains(response, "pizza")
def test_signup_redirects(self):
response = self.client.post('/sign_up', self.params, follow=True)
self.assertRedirects(response, '/welcome')
def test_user_is_created(self):
c = Client()
c.post('/sign_up', self.params)
self.assertEqual(1, len(User.objects.all()))
def test_user_is_logged_in_after_signup(self):
c = Client()
c.post('/sign_up', self.params)
user = User.objects.get(username='Bjorn')
self.assertTrue(user.is_authenticated())
def test_email_displayed_on_welcome_page(self):
c = Client()
c.post('/sign_up', self.params)
response = c.get('/welcome')
self.assertContains(response, "[email protected]")
|
from django.test import TestCase
from django.contrib.auth.models import User
from django.test import Client
from meetuppizza.forms import RegistrationForm
import pdb
class Test(TestCase):
def setUp(self):
self.params = {
'username':'Bjorn',
'email':'[email protected]',
'password1':'bjornbjorn',
'password2':'bjornbjorn'
}
def test_landing_page_is_there(self):
response = self.client.get('/')
self.assertEqual(response.status_code, 200)
def test_page_contains_pizza(self):
response = self.client.get('/')
self.assertContains(response, "pizza")
def test_signup_redirects(self):
response = self.client.post('/sign_up', self.params, follow=True)
self.assertRedirects(response, '/welcome')
def test_user_is_created(self):
c = Client()
c.post('/sign_up', self.params)
self.assertEqual(1, len(User.objects.all()))
def test_user_is_logged_in_after_signup(self):
c = Client()
c.post('/sign_up', self.params)
user = User.objects.get(username='Bjorn')
self.assertTrue(user.is_authenticated())
def test_email_displayed_on_welcome_page(self):
c = Client()
c.post('/sign_up', self.params)
response = c.get('/welcome')
self.assertContains(response, "Bjorn")
|
mit
|
Python
|
bf4cf008fb8eadd5a0b8b23a330a49fdea272314
|
Convert exception to string
|
Kitware/cumulus,Kitware/cumulus
|
tests/cases/cloud_provider_test.py
|
tests/cases/cloud_provider_test.py
|
import unittest
import os
from cumulus.ansible.tasks.providers import CloudProvider, EC2Provider
class CloudProviderTestCase(unittest.TestCase):
def setup(self):
pass
def tearDown(self):
pass
def test_empty_profile(self):
with self.assertRaises(AssertionError) as context:
p = CloudProvider({})
self.assertTrue('Profile does not have a "cloudProvider" attribute'
in str(context.exception))
def test_ec2_profile(self):
p = CloudProvider({'cloudProvider': 'ec2'})
self.assertTrue(isinstance(p, EC2Provider))
|
import unittest
import os
from cumulus.ansible.tasks.providers import CloudProvider, EC2Provider
class CloudProviderTestCase(unittest.TestCase):
def setup(self):
pass
def tearDown(self):
pass
def test_empty_profile(self):
with self.assertRaises(AssertionError) as context:
p = CloudProvider({})
self.assertTrue('Profile does not have a "cloudProvider" attribute'
in context.exception)
def test_ec2_profile(self):
p = CloudProvider({'cloudProvider': 'ec2'})
self.assertTrue(isinstance(p, EC2Provider))
|
apache-2.0
|
Python
|
0ac1cdfd59199d3c36ddbccc7c5004261b57f7be
|
Add api.python.failing_step
|
shishkander/recipes-py,shishkander/recipes-py,luci/recipes-py,luci/recipes-py
|
recipe_modules/python/api.py
|
recipe_modules/python/api.py
|
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from slave import recipe_api
from slave import recipe_util
import textwrap
class PythonApi(recipe_api.RecipeApi):
def __call__(self, name, script, args=None, unbuffered=True, **kwargs):
"""Return a step to run a python script with arguments."""
cmd = ['python']
if unbuffered:
cmd.append('-u')
cmd.append(script)
return self.m.step(name, cmd + list(args or []), **kwargs)
def inline(self, name, program, add_python_log=True, **kwargs):
"""Run an inline python program as a step.
Program is output to a temp file and run when this step executes.
"""
program = textwrap.dedent(program)
compile(program, '<string>', 'exec', dont_inherit=1)
try:
self(name, self.m.raw_io.input(program, '.py'), **kwargs)
finally:
result = self.m.step.active_result
if add_python_log:
result.presentation.logs['python.inline'] = program.splitlines()
return result
def failing_step(self, name, text):
"""Return a failng step (correctly recognized in expectations)."""
try:
self.inline(name,
'import sys; sys.exit(1)',
add_python_log=False,
step_test_data=lambda: self.m.raw_io.test_api.output(
text, retcode=1))
finally:
self.m.step.active_result.presentation.step_text = text
|
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from slave import recipe_api
from slave import recipe_util
import textwrap
class PythonApi(recipe_api.RecipeApi):
def __call__(self, name, script, args=None, unbuffered=True, **kwargs):
"""Return a step to run a python script with arguments."""
cmd = ['python']
if unbuffered:
cmd.append('-u')
cmd.append(script)
return self.m.step(name, cmd + list(args or []), **kwargs)
def inline(self, name, program, add_python_log=True, **kwargs):
"""Run an inline python program as a step.
Program is output to a temp file and run when this step executes.
"""
program = textwrap.dedent(program)
compile(program, '<string>', 'exec', dont_inherit=1)
try:
self(name, self.m.raw_io.input(program, '.py'), **kwargs)
finally:
result = self.m.step.active_result
if add_python_log:
result.presentation.logs['python.inline'] = program.splitlines()
return result
|
bsd-3-clause
|
Python
|
b1653d7a9589766a86141034865d9023b1f75fad
|
Fix as_tensor_test
|
ajbouh/tfi
|
tests/as_tensor_test.py
|
tests/as_tensor_test.py
|
import unittest
from tfi.as_tensor import as_tensor
from functools import partialmethod
class AsTensorTest(unittest.TestCase):
pass
_FIXTURES = [
('string', 'string', [], str, 'string'),
('list', ['string'], [None], str, ['string']),
('list', ['string'], [1], str, ['string']),
('generator', (s for s in ['string']), [1], str, ['string']),
('emptylist', [], [None], float, []),
('emptylist', [], [0], float, []),
('nested_list', [['string'], ['foo']], [2,1], str, [['string'], ['foo']]),
]
for (name, *rest) in _FIXTURES:
def do_test(self, expect, shape, dtype, data):
result = as_tensor(data, shape, dtype)
self.assertEqual(expect, result)
setattr(AsTensorTest,
'test_%s' % name,
partialmethod(do_test, *rest))
if __name__ == '__main__':
unittest.main()
|
import unittest
from as_tensor import as_tensor
class AsTensorTest(unittest.TestCase):
pass
_FIXTURES = [
('string', 'string', [], 'string'),
('list', ['string'], [None], ['string']),
('list', ['string'], [1], ['string']),
('generator', (s for s in ['string']), [1], ['string']),
('emptylist', [], [None], []),
('emptylist', [], [0], []),
('nested_list', [['string'], ['foo']], [2,1], [['string'], ['foo']]),
]
for (name, expect, shape, data) in _FIXTURES:
def do_test(self):
result = as_tensor(data, shape)
self.assertEqual(expect, result)
setattr(AsTensorTest, 'test_%s' % name, do_test)
if __name__ == '__main__':
unittest.main()
|
mit
|
Python
|
55726db079313570fb9889ae91a4664f2e2daa98
|
add buttons to choose task
|
mesenev/top_bot_lyceum
|
methods/homeworks.py
|
methods/homeworks.py
|
from enum import Enum, auto
from telegram.ext import CommandHandler, MessageHandler, Filters
from telegram.ext.conversationhandler import ConversationHandler
from telegram.message import Message
from telegram.replykeyboardmarkup import ReplyKeyboardMarkup
from telegram.update import Update
from lyceum_api import get_check_queue
from lyceum_api.issue import QueueTask
from methods.auth import get_user
class State(Enum):
not_logged_in = auto()
def handle_hw(bot, update: Update):
user = get_user(update.message)
if not user:
update.message.reply_text('Not logged in')
return ConversationHandler.END
q = [QueueTask(t) for t in get_check_queue(user.sid)]
tasks = [['{} -- {}'.format(t.task_title, t.student_name)] for t in q]
markup = ReplyKeyboardMarkup(tasks, one_time_keyboard=True)
update.message.reply_text('Выберите задание на проверку',
reply_markup=markup)
return ConversationHandler.END
# def on_choose(bot, update):
# message: Message = update.message
conv_handler = ConversationHandler(
entry_points=[CommandHandler('hw', handle_hw, Filters.private)],
states={
# States.username: [MessageHandler(Filters.text,
# handle_username,
# pass_user_data=True)],
# States.password: [MessageHandler(Filters.text,
# handle_password,
# pass_user_data=True)]
},
fallbacks=[]
)
|
from enum import Enum, auto
from telegram.ext import CommandHandler, MessageHandler, Filters
from telegram.ext.conversationhandler import ConversationHandler
from telegram.message import Message
from telegram.update import Update
from lyceum_api import get_check_queue
from lyceum_api.issue import QueueTask
from methods.auth import get_user
class State(Enum):
not_logged_in = auto()
def handle_hw(bot, update: Update):
user = get_user(update.message)
if not user:
update.message.reply_text('Not logged in')
return ConversationHandler.END
q = [QueueTask(t) for t in get_check_queue(user.sid)]
tasks = ('Задания на проверку:\n' +
'\n'.join('{} -- {}'.format(t.task_title, t.student_name) for t in q))
update.message.reply_text(tasks)
return ConversationHandler.END
# def on_choose(bot, update):
# message: Message = update.message
conv_handler = ConversationHandler(
entry_points=[CommandHandler('hw', handle_hw, Filters.private)],
states={
# States.username: [MessageHandler(Filters.text,
# handle_username,
# pass_user_data=True)],
# States.password: [MessageHandler(Filters.text,
# handle_password,
# pass_user_data=True)]
},
fallbacks=[]
)
|
mit
|
Python
|
fd61f3cfbcd520b1b5fc9208c553ee946cced517
|
Remove duplicates from compression levels tests
|
python-lz4/python-lz4,python-lz4/python-lz4
|
tests/frame/conftest.py
|
tests/frame/conftest.py
|
import pytest
# import random
import lz4.frame as lz4frame
@pytest.fixture(
params=[
(lz4frame.BLOCKSIZE_DEFAULT),
(lz4frame.BLOCKSIZE_MAX64KB),
(lz4frame.BLOCKSIZE_MAX256KB),
(lz4frame.BLOCKSIZE_MAX1MB),
(lz4frame.BLOCKSIZE_MAX4MB),
]
)
def block_size(request):
return request.param
@pytest.fixture(
params=[
(lz4frame.BLOCKMODE_LINKED),
(lz4frame.BLOCKMODE_INDEPENDENT),
]
)
def block_mode(request):
return request.param
@pytest.fixture(
params=[
(lz4frame.CONTENTCHECKSUM_DISABLED),
(lz4frame.CONTENTCHECKSUM_ENABLED),
]
)
def content_checksum(request):
return request.param
compression_levels = list(range(-5, 13)) + [
lz4frame.COMPRESSIONLEVEL_MIN,
lz4frame.COMPRESSIONLEVEL_MINHC,
lz4frame.COMPRESSIONLEVEL_MAX,
]
compression_levels = [
# Although testing with all compression levels is desirable, the number of
# tests becomes too large. So, we'll select some compression levels at
# random.
# (i) for i in random.sample(set(compression_levels), k=2)
(i) for i in set(compression_levels)
]
@pytest.fixture(
params=compression_levels
)
def compression_level(request):
return request.param
@pytest.fixture(
params=[
(True),
(False)
]
)
def auto_flush(request):
return request.param
@pytest.fixture(
params=[
(True),
(False)
]
)
def store_size(request):
return request.param
|
import pytest
# import random
import lz4.frame as lz4frame
@pytest.fixture(
params=[
(lz4frame.BLOCKSIZE_DEFAULT),
(lz4frame.BLOCKSIZE_MAX64KB),
(lz4frame.BLOCKSIZE_MAX256KB),
(lz4frame.BLOCKSIZE_MAX1MB),
(lz4frame.BLOCKSIZE_MAX4MB),
]
)
def block_size(request):
return request.param
@pytest.fixture(
params=[
(lz4frame.BLOCKMODE_LINKED),
(lz4frame.BLOCKMODE_INDEPENDENT),
]
)
def block_mode(request):
return request.param
@pytest.fixture(
params=[
(lz4frame.CONTENTCHECKSUM_DISABLED),
(lz4frame.CONTENTCHECKSUM_ENABLED),
]
)
def content_checksum(request):
return request.param
compression_levels = list(range(-5, 13)) + [
lz4frame.COMPRESSIONLEVEL_MIN,
lz4frame.COMPRESSIONLEVEL_MINHC,
lz4frame.COMPRESSIONLEVEL_MAX,
]
compression_levels = [
# Although testing with all compression levels is desirable, the number of
# tests becomes too large. So, we'll select some compression levels at
# random.
# (i) for i in random.sample(set(compression_levels), k=2)
(i) for i in compression_levels
]
@pytest.fixture(
params=compression_levels
)
def compression_level(request):
return request.param
@pytest.fixture(
params=[
(True),
(False)
]
)
def auto_flush(request):
return request.param
@pytest.fixture(
params=[
(True),
(False)
]
)
def store_size(request):
return request.param
|
bsd-3-clause
|
Python
|
1c6ed4130baacf0d0f662b6aa056630dd7fd383d
|
Fix vocab splitting
|
psmit/kaldi-recipes,psmit/kaldi-recipes,phsmit/kaldi-recipes,psmit/kaldi-recipes,phsmit/kaldi-recipes
|
spraakbanken/s5/spr_local/make_recog_vocab.py
|
spraakbanken/s5/spr_local/make_recog_vocab.py
|
#!/usr/bin/env python3
import sys
import collections
def main(in_vocab, size, out_vocab,):
counter = collections.Counter()
size = int(size)
for line in open(in_vocab, encoding='utf-8'):
word, count = line.rstrip("\n").split(" ")
if any(x.isdigit() for x in word):
continue
punctuation = "\\/?.,!;:\"\'()-=+[]%§*¤ïÐ$&<>#@{}"
if any(x in punctuation for x in word):
continue
counter[word] += int(count)
with open(out_vocab, 'w', encoding='utf-8') as out_f:
for w, c in counter.most_common(size):
print(w, file=out_f)
if __name__ == "__main__":
if len(sys.argv) != 4:
exit("3 arguments: in_vocab, desired_size, out_vocab")
main(*sys.argv[1:])
|
#!/usr/bin/env python3
import sys
import collections
def main(in_vocab, size, out_vocab,):
counter = collections.Counter()
size = int(size)
for line in open(in_vocab, encoding='utf-8'):
word, count = line.strip().split()
if any(x.isdigit() for x in word):
continue
punctuation = "\\/?.,!;:\"\'()-=+[]%§*¤ïÐ$&<>#@{}"
if any(x in punctuation for x in word):
continue
counter[word] += int(count)
with open(out_vocab, 'w', encoding='utf-8') as out_f:
for w, c in counter.most_common(size):
print(w, file=out_f)
if __name__ == "__main__":
if len(sys.argv) != 4:
exit("3 arguments: in_vocab, desired_size, out_vocab")
main(*sys.argv[1:])
|
apache-2.0
|
Python
|
7be728d551d7d2becd70b575f95facbbd561e69b
|
Add latest version of libsigsegv (#3449)
|
iulian787/spack,krafczyk/spack,skosukhin/spack,krafczyk/spack,tmerrick1/spack,krafczyk/spack,EmreAtes/spack,krafczyk/spack,TheTimmy/spack,LLNL/spack,mfherbst/spack,lgarren/spack,EmreAtes/spack,TheTimmy/spack,EmreAtes/spack,matthiasdiener/spack,lgarren/spack,TheTimmy/spack,EmreAtes/spack,matthiasdiener/spack,tmerrick1/spack,LLNL/spack,TheTimmy/spack,LLNL/spack,tmerrick1/spack,matthiasdiener/spack,iulian787/spack,EmreAtes/spack,lgarren/spack,mfherbst/spack,TheTimmy/spack,skosukhin/spack,LLNL/spack,tmerrick1/spack,lgarren/spack,matthiasdiener/spack,mfherbst/spack,skosukhin/spack,lgarren/spack,mfherbst/spack,iulian787/spack,mfherbst/spack,tmerrick1/spack,iulian787/spack,matthiasdiener/spack,skosukhin/spack,krafczyk/spack,iulian787/spack,LLNL/spack,skosukhin/spack
|
var/spack/repos/builtin/packages/libsigsegv/package.py
|
var/spack/repos/builtin/packages/libsigsegv/package.py
|
##############################################################################
# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/llnl/spack
# Please also see the LICENSE file for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Libsigsegv(AutotoolsPackage):
"""GNU libsigsegv is a library for handling page faults in user mode."""
homepage = "https://www.gnu.org/software/libsigsegv/"
url = "https://ftp.gnu.org/gnu/libsigsegv/libsigsegv-2.11.tar.gz"
patch('patch.new_config_guess', when='@2.10')
version('2.11', 'a812d9481f6097f705599b218eea349f')
version('2.10', '7f96fb1f65b3b8cbc1582fb7be774f0f')
def configure_args(self):
return ['--enable-shared']
|
##############################################################################
# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/llnl/spack
# Please also see the LICENSE file for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Libsigsegv(AutotoolsPackage):
"""GNU libsigsegv is a library for handling page faults in user mode."""
homepage = "https://www.gnu.org/software/libsigsegv/"
url = "https://ftp.gnu.org/gnu/libsigsegv/libsigsegv-2.10.tar.gz"
patch('patch.new_config_guess', when='@2.10')
version('2.10', '7f96fb1f65b3b8cbc1582fb7be774f0f')
def configure_args(self):
return ['--enable-shared']
|
lgpl-2.1
|
Python
|
20a89ca326712058f3f22621eed725c0f510bee3
|
Add branch with bugfix (#8355)
|
mfherbst/spack,iulian787/spack,mfherbst/spack,krafczyk/spack,tmerrick1/spack,krafczyk/spack,tmerrick1/spack,mfherbst/spack,iulian787/spack,iulian787/spack,matthiasdiener/spack,iulian787/spack,tmerrick1/spack,LLNL/spack,krafczyk/spack,matthiasdiener/spack,LLNL/spack,krafczyk/spack,tmerrick1/spack,mfherbst/spack,matthiasdiener/spack,matthiasdiener/spack,LLNL/spack,matthiasdiener/spack,mfherbst/spack,tmerrick1/spack,krafczyk/spack,iulian787/spack,LLNL/spack,LLNL/spack
|
var/spack/repos/builtin/packages/meraculous/package.py
|
var/spack/repos/builtin/packages/meraculous/package.py
|
##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Meraculous(CMakePackage):
"""Meraculous is a while genome assembler for Next Generation Sequencing
data geared for large genomes."""
homepage = "http://jgi.doe.gov/data-and-tools/meraculous/"
url = "https://downloads.sourceforge.net/project/meraculous20/Meraculous-v2.2.4.tar.gz"
version('2.2.5.1',
git="https://bitbucket.org/berkeleylab/genomics-meraculous2.git",
branch="release-2.2.5.1")
version('2.2.4', '349feb6cb178643a46e4b092c87bad3a')
depends_on('perl', type=('build', 'run'))
depends_on('[email protected]:')
depends_on('[email protected]:')
depends_on('perl-log-log4perl', type=('build', 'run'))
conflicts('%[email protected]:', when='@2.2.4')
def patch(self):
edit = FileFilter('CMakeLists.txt')
edit.filter("-static-libstdc\+\+", "")
def setup_environment(self, spack_env, run_env):
run_env.set('MERACULOUS_ROOT', self.prefix)
run_env.prepend_path('PERL5LIB', self.prefix.lib)
|
##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Meraculous(CMakePackage):
"""Meraculous is a while genome assembler for Next Generation Sequencing
data geared for large genomes."""
homepage = "http://jgi.doe.gov/data-and-tools/meraculous/"
url = "https://downloads.sourceforge.net/project/meraculous20/Meraculous-v2.2.4.tar.gz"
version('2.2.4', '349feb6cb178643a46e4b092c87bad3a')
depends_on('perl', type=('build', 'run'))
depends_on('[email protected]:')
depends_on('[email protected]:')
depends_on('perl-log-log4perl', type=('build', 'run'))
conflicts('%[email protected]:', when='@2.2.4')
def patch(self):
edit = FileFilter('CMakeLists.txt')
edit.filter("-static-libstdc\+\+", "")
def setup_environment(self, spack_env, run_env):
run_env.set('MERACULOUS_ROOT', self.prefix)
run_env.prepend_path('PERL5LIB', self.prefix.lib)
|
lgpl-2.1
|
Python
|
5d608a855132f0a378e44b3c0c7dbba1f4f4dace
|
fix corehq.messaging.smsbackends.twilio.tests.test_log_call:TwilioLogCallTestCase.test_log_call
|
dimagi/commcare-hq,dimagi/commcare-hq,dimagi/commcare-hq,dimagi/commcare-hq,dimagi/commcare-hq
|
corehq/messaging/smsbackends/twilio/tests/test_log_call.py
|
corehq/messaging/smsbackends/twilio/tests/test_log_call.py
|
from __future__ import absolute_import
from __future__ import unicode_literals
import corehq.apps.ivr.tests.util as util
from corehq.apps.ivr.models import Call
from corehq.messaging.smsbackends.twilio.models import SQLTwilioBackend
from corehq.messaging.smsbackends.twilio.views import IVR_RESPONSE
from django.test import Client
class TwilioLogCallTestCase(util.LogCallTestCase):
def setUp(self):
super(TwilioLogCallTestCase, self).setUp()
self.backend = SQLTwilioBackend.objects.create(
name='TWILIO',
is_global=True,
hq_api_id=SQLTwilioBackend.get_api_id()
)
def tearDown(self):
self.backend.delete()
super(TwilioLogCallTestCase, self).tearDown()
def test_401_response(self):
with self.create_case():
start_count = Call.by_domain(self.domain).count()
response = Client().post('/twilio/ivr/xxxxx', {
'From': self.phone_number,
'CallSid': 'xyz',
})
self.assertEqual(response.status_code, 401)
end_count = Call.by_domain(self.domain).count()
self.assertEqual(start_count, end_count)
def simulate_inbound_call(self, phone_number):
url = '/twilio/ivr/%s' % self.backend.inbound_api_key
return Client().post(url, {
'From': phone_number,
'CallSid': 'xyz',
})
def check_response(self, response):
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content.decode('utf-8'), IVR_RESPONSE)
|
from __future__ import absolute_import
from __future__ import unicode_literals
import corehq.apps.ivr.tests.util as util
from corehq.apps.ivr.models import Call
from corehq.messaging.smsbackends.twilio.models import SQLTwilioBackend
from corehq.messaging.smsbackends.twilio.views import IVR_RESPONSE
from django.test import Client
class TwilioLogCallTestCase(util.LogCallTestCase):
def setUp(self):
super(TwilioLogCallTestCase, self).setUp()
self.backend = SQLTwilioBackend.objects.create(
name='TWILIO',
is_global=True,
hq_api_id=SQLTwilioBackend.get_api_id()
)
def tearDown(self):
self.backend.delete()
super(TwilioLogCallTestCase, self).tearDown()
def test_401_response(self):
with self.create_case():
start_count = Call.by_domain(self.domain).count()
response = Client().post('/twilio/ivr/xxxxx', {
'From': self.phone_number,
'CallSid': 'xyz',
})
self.assertEqual(response.status_code, 401)
end_count = Call.by_domain(self.domain).count()
self.assertEqual(start_count, end_count)
def simulate_inbound_call(self, phone_number):
url = '/twilio/ivr/%s' % self.backend.inbound_api_key
return Client().post(url, {
'From': phone_number,
'CallSid': 'xyz',
})
def check_response(self, response):
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content, IVR_RESPONSE)
|
bsd-3-clause
|
Python
|
968f0f3d41a546c4c6614d24be3e077ba1ee37b9
|
Reorganiza imports de xml_utils
|
scieloorg/packtools,scieloorg/packtools,scieloorg/packtools
|
packtools/sps/utils/xml_utils.py
|
packtools/sps/utils/xml_utils.py
|
import logging
import re
from copy import deepcopy
from lxml import etree
from packtools.sps import exceptions
from packtools.sps.utils import file_utils
logger = logging.getLogger(__name__)
class LoadToXMLError(Exception):
...
def fix_xml(xml_str):
return fix_namespace_prefix_w(xml_str)
def fix_namespace_prefix_w(content):
"""
Convert os textos cujo padrão é `w:st="` em `w-st="`
"""
pattern = r"\bw:[a-z]{1,}=\""
found_items = re.findall(pattern, content)
logger.debug("Found %i namespace prefix w", len(found_items))
for item in set(found_items):
new_namespace = item.replace(":", "-")
logger.debug("%s -> %s" % (item, new_namespace))
content = content.replace(item, new_namespace)
return content
def _get_xml_content(xml):
if isinstance(xml, str):
try:
content = read_file(xml)
except (FileNotFoundError, OSError):
content = xml
content = fix_xml(content)
return content.encode("utf-8")
return xml
def get_xml_tree(content):
parser = etree.XMLParser(remove_blank_text=True, no_network=True)
try:
content = _get_xml_content(content)
xml_tree = etree.XML(content, parser)
# if isinstance(content, str):
# # xml_tree = etree.parse(BytesIO(content.encode("utf-8")), parser)
# xml_tree = etree.parse(StringIO(content), parser)
# else:
# # content == zipfile.read(sps_xml_file)
# except ValueError as exc:
# xml_tree = etree.XML(content, parser)
except etree.XMLSyntaxError as exc:
raise LoadToXMLError(str(exc)) from None
else:
return xml_tree
def tostring(node, doctype=None, pretty_print=False):
return etree.tostring(
node,
doctype=doctype,
xml_declaration=True,
method="xml",
encoding="utf-8",
pretty_print=pretty_print,
).decode("utf-8")
def node_text(node, doctype=None, pretty_print=False):
items = [node.text or ""]
for child in node.getchildren():
items.append(
etree.tostring(child, encoding="utf-8").decode("utf-8")
)
return "".join(items)
|
import logging
import re
from lxml import etree
from dsm.utils.files import read_file
logger = logging.getLogger(__name__)
class LoadToXMLError(Exception):
...
def fix_xml(xml_str):
return fix_namespace_prefix_w(xml_str)
def fix_namespace_prefix_w(content):
"""
Convert os textos cujo padrão é `w:st="` em `w-st="`
"""
pattern = r"\bw:[a-z]{1,}=\""
found_items = re.findall(pattern, content)
logger.debug("Found %i namespace prefix w", len(found_items))
for item in set(found_items):
new_namespace = item.replace(":", "-")
logger.debug("%s -> %s" % (item, new_namespace))
content = content.replace(item, new_namespace)
return content
def _get_xml_content(xml):
if isinstance(xml, str):
try:
content = read_file(xml)
except (FileNotFoundError, OSError):
content = xml
content = fix_xml(content)
return content.encode("utf-8")
return xml
def get_xml_tree(content):
parser = etree.XMLParser(remove_blank_text=True, no_network=True)
try:
content = _get_xml_content(content)
xml_tree = etree.XML(content, parser)
# if isinstance(content, str):
# # xml_tree = etree.parse(BytesIO(content.encode("utf-8")), parser)
# xml_tree = etree.parse(StringIO(content), parser)
# else:
# # content == zipfile.read(sps_xml_file)
# except ValueError as exc:
# xml_tree = etree.XML(content, parser)
except etree.XMLSyntaxError as exc:
raise LoadToXMLError(str(exc)) from None
else:
return xml_tree
def tostring(node, doctype=None, pretty_print=False):
return etree.tostring(
node,
doctype=doctype,
xml_declaration=True,
method="xml",
encoding="utf-8",
pretty_print=pretty_print,
).decode("utf-8")
def node_text(node, doctype=None, pretty_print=False):
items = [node.text or ""]
for child in node.getchildren():
items.append(
etree.tostring(child, encoding="utf-8").decode("utf-8")
)
return "".join(items)
|
bsd-2-clause
|
Python
|
713fd67b4aa0d3a614ca149f86deeb2d5e913d12
|
fix installation on linux (#24706)
|
LLNL/spack,LLNL/spack,LLNL/spack,LLNL/spack,LLNL/spack
|
var/spack/repos/builtin/packages/py-keyring/package.py
|
var/spack/repos/builtin/packages/py-keyring/package.py
|
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyKeyring(PythonPackage):
"""The Python keyring library provides an easy way to access the system keyring
service from python. It can be used in any application that needs safe password
storage."""
homepage = "https://github.com/jaraco/keyring"
pypi = "keyring/keyring-23.0.1.tar.gz"
version('23.0.1', sha256='045703609dd3fccfcdb27da201684278823b72af515aedec1a8515719a038cb8')
depends_on('[email protected]:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('[email protected]:+toml', type='build')
depends_on('[email protected]:', type=('build', 'run'))
depends_on('[email protected]:', type=('build', 'run'), when='platform=linux')
depends_on('[email protected]:', type=('build', 'run'), when='platform=linux')
# TODO: additional dependency on pywin32-ctypes required for Windows
|
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyKeyring(PythonPackage):
"""The Python keyring library provides an easy way to access the system keyring
service from python. It can be used in any application that needs safe password
storage."""
homepage = "https://github.com/jaraco/keyring"
pypi = "keyring/keyring-23.0.1.tar.gz"
version('23.0.1', sha256='045703609dd3fccfcdb27da201684278823b72af515aedec1a8515719a038cb8')
depends_on('[email protected]:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('[email protected]:+toml', type='build')
depends_on('[email protected]:', type=('build', 'run'))
# TODO: additional dependencies required for Windows/Linux
|
lgpl-2.1
|
Python
|
f06a4689fab32d7d2f4c848019978665656a5cdf
|
Implement hexfile record types used by GNU ld
|
thotypous/mikroe-uhb
|
mikroeuhb/hexfile.py
|
mikroeuhb/hexfile.py
|
import struct, logging
from binascii import unhexlify
from util import bord
logger = logging.getLogger(__name__)
def load(f, devkit):
"""Load a Intel HEX File from a file object into a devkit.
The devkit must implement a write(address,data) method."""
lineno = 0
base_addr = 0
for line in f.xreadlines():
lineno += 1
line = line.strip()
if line == '':
continue
if bord(line[0]) != ord(':'):
raise IOError('line %d: malformed' % lineno)
line = unhexlify(line[1:])
byte_count, address, record_type = struct.unpack('>BHB', line[:4])
correct_len = byte_count + 5
if len(line) != correct_len:
logger.warn('line %d: should have %d bytes -- truncating' % (lineno, correct_len))
line = line[:correct_len]
if sum(map(bord,line)) & 0xFF != 0:
raise IOError('line %d: incorrect checksum' % lineno)
data = line[4:-1]
if record_type == 0x00: # data record
devkit.write(base_addr + address, data)
elif record_type == 0x01: # end of file record
break
elif record_type == 0x04: # extended linear address record
if byte_count != 2:
raise IOError('line %d: extended linear address record must have 2 bytes of data' % lineno)
base_addr, = struct.unpack('>H', data)
base_addr <<= 16
elif record_type == 0x02: # extended segment address record
base_addr, = struct.unpack('>H', data)
base_addr <<= 4
elif record_type not in [0x03, 0x05]: # used for the initial PC (ignored)
raise IOError('line %d: unsupported record type %d' % (lineno, record_type))
|
import struct, logging
from binascii import unhexlify
from util import bord
logger = logging.getLogger(__name__)
def load(f, devkit):
"""Load a Intel HEX File from a file object into a devkit.
The devkit must implement a write(address,data) method."""
lineno = 0
base_addr = 0
for line in f.xreadlines():
lineno += 1
line = line.strip()
if line == '':
continue
if bord(line[0]) != ord(':'):
raise IOError('line %d: malformed' % lineno)
line = unhexlify(line[1:])
byte_count, address, record_type = struct.unpack('>BHB', line[:4])
correct_len = byte_count + 5
if len(line) != correct_len:
logger.warn('line %d: should have %d bytes -- truncating' % (lineno, correct_len))
line = line[:correct_len]
if sum(map(bord,line)) & 0xFF != 0:
raise IOError('line %d: incorrect checksum' % lineno)
data = line[4:-1]
if record_type == 0x00: # data record
devkit.write(base_addr + address, data)
elif record_type == 0x01: # end of file record
break
elif record_type == 0x04: # extended linear address record
if byte_count != 2:
raise IOError('line %d: extended linear address record must have 2 bytes of data' % lineno)
base_addr, = struct.unpack('>H', data)
base_addr <<= 16
else:
raise IOError('line %d: unsupported record type %d' % (lineno, record_type))
|
mit
|
Python
|
b9b3837937341e6b1b052bbfdd979e3bb57d87c4
|
Fix SSL security provider integration tests
|
rafaduran/python-mcollective,rafaduran/python-mcollective,rafaduran/python-mcollective,rafaduran/python-mcollective
|
tests/integration/test_with_ssl.py
|
tests/integration/test_with_ssl.py
|
import os
from pymco.test import ctxt
from . import base
FIXTURES_PATH = os.path.join(ctxt.ROOT, 'fixtures')
class SSLTestCase(base.IntegrationTestCase):
'''RabbitMQ integration test case.'''
CTXT = {
'plugin.activemq.pool.1.port': 61614,
'plugin.activemq.pool.1.password': 'marionette',
'plugin.ssl_server_public': 'tests/fixtures/server-public.pem',
'plugin.ssl_client_private': 'tests/fixtures/client-private.pem',
'plugin.ssl_client_public': 'tests/fixtures/client-public.pem',
'plugin.ssl_server_private': os.path.join(FIXTURES_PATH,
'server-private.pem'),
'securityprovider': 'ssl',
'plugin.ssl_client_cert_dir': FIXTURES_PATH,
}
class TestWithSSLMCo20x(base.MCollective20x, SSLTestCase):
'''MCollective integration test case.'''
class TestWithSSLMCo22x(base.MCollective22x, SSLTestCase):
'''MCollective integration test case.'''
class TestWithSSLMCo23x(base.MCollective23x, SSLTestCase):
'''MCollective integration test case.'''
|
from . import base
class SSLTestCase(base.IntegrationTestCase):
'''RabbitMQ integration test case.'''
CTXT = {
'plugin.activemq.pool.1.port': 61614,
'plugin.activemq.pool.1.password': 'marionette',
'plugin.ssl_server_public': 'tests/fixtures/server-public.pem',
'plugin.ssl_client_private': 'tests/fixtures/client-private.pem',
'plugin.ssl_client_public': 'tests/fixtures/client-public.pem',
}
class TestWithSSLMCo20x(base.MCollective20x, SSLTestCase):
'''MCollective integration test case.'''
class TestWithSSLMCo22x(base.MCollective22x, SSLTestCase):
'''MCollective integration test case.'''
class TestWithSSLMCo23x(base.MCollective23x, SSLTestCase):
'''MCollective integration test case.'''
|
bsd-3-clause
|
Python
|
dcc07355786f94da36d938239c5c60d5302e4d42
|
test for identity link
|
dandesousa/drf-collection-json
|
testapp/tests/test_renderer_infer.py
|
testapp/tests/test_renderer_infer.py
|
#!/usr/bin/env python
# encoding: utf-8
from django.test import TestCase
from collection_json import Collection
from testapp.models import Person
try:
from urlparse import urlparse
except ImportError:
from urllib.parse import urlparse
class DictionaryTest(TestCase):
"""tests when the response contains a dictionary"""
def test_no_serializer_view(self):
with self.assertRaises(TypeError):
self.client.get("/infer/noserializer")
class PersonTest(TestCase):
def setUp(self):
self.num_people = 10
for i in range(self.num_people):
p = Person.objects.create(name="person{}".format(i),
address="address{}".format(i))
p.save()
self.url = "/infer/person"
response = self.client.get(self.url)
content = response.content.decode("utf-8")
self.collection = Collection.from_json(content)
def test_db_setup(self):
"""asserts that the database was properly initialized"""
self.assertEqual(self.num_people, len(Person.objects.all()))
def test_collection_items(self):
"""asserts that the right number of items was parsed"""
self.assertEqual(self.num_people, len(self.collection.items))
def test_collection_names(self):
"""tests that the given attribute was parsed correctly"""
for i, item in enumerate(self.collection.items):
expected = "person{}".format(i)
self.assertEqual(item.name.value, expected)
def test_collection_address(self):
"""tests that the given attribute was parsed correctly"""
for i, item in enumerate(self.collection.items):
expected = "address{}".format(i)
self.assertEqual(item.address.value, expected)
def test_collection_identity_link(self):
"""tests that the href for the collection is correct"""
actual = urlparse(self.collection.href).path
self.assertEqual(actual, self.url)
class ListTest(TestCase):
"""tests when the response contains a list"""
urls = "testapp.urls"
|
#!/usr/bin/env python
# encoding: utf-8
from django.test import TestCase
from collection_json import Collection
from testapp.models import Person
class DictionaryTest(TestCase):
"""tests when the response contains a dictionary"""
def test_no_serializer_view(self):
with self.assertRaises(TypeError):
self.client.get("/infer/noserializer")
class PersonTest(TestCase):
def setUp(self):
self.num_people = 10
for i in range(self.num_people):
p = Person.objects.create(name="person{}".format(i),
address="address{}".format(i))
p.save()
response = self.client.get("/infer/person")
content = response.content.decode("utf-8")
self.collection = Collection.from_json(content)
def test_db_setup(self):
"""asserts that the database was properly initialized"""
self.assertEqual(self.num_people, len(Person.objects.all()))
def test_collection_items(self):
"""asserts that the right number of items was parsed"""
self.assertEqual(self.num_people, len(self.collection.items))
def test_collection_names(self):
"""tests that the given attribute was parsed correctly"""
for i, item in enumerate(self.collection.items):
expected = "person{}".format(i)
self.assertEqual(item.name.value, expected)
def test_collection_address(self):
"""tests that the given attribute was parsed correctly"""
for i, item in enumerate(self.collection.items):
expected = "address{}".format(i)
self.assertEqual(item.address.value, expected)
class ListTest(TestCase):
"""tests when the response contains a list"""
urls = "testapp.urls"
|
cc0-1.0
|
Python
|
943ecc39af2b152bc8d5fed55bdafe5332a33d75
|
remove xfail (#4458)
|
kubeflow/kubeflow,kubeflow/kubeflow,kubeflow/kubeflow,kubeflow/kubeflow,kubeflow/kubeflow,kubeflow/kubeflow
|
testing/kfctl/endpoint_ready_test.py
|
testing/kfctl/endpoint_ready_test.py
|
import datetime
import json
import logging
import os
import subprocess
import tempfile
import uuid
from retrying import retry
import pytest
from kubeflow.testing import util
from testing import deploy_utils
from testing import gcp_util
# There's really no good reason to run test_endpoint during presubmits.
# We shouldn't need it to feel confident that kfctl is working.
@pytest.mark.skipif(os.getenv("JOB_TYPE") == "presubmit",
reason="test endpoint doesn't run in presubmits")
def test_endpoint_is_ready(record_xml_attribute, project, app_path, app_name, use_basic_auth):
"""Test that Kubeflow was successfully deployed.
Args:
project: The gcp project that we deployed kubeflow
app_name: The name of the kubeflow deployment
"""
util.set_pytest_junit(record_xml_attribute, "test_endpoint_is_ready")
url = "https://{}.endpoints.{}.cloud.goog".format(app_name, project)
if use_basic_auth:
with open(os.path.join(app_path, "login.json"), "r") as f:
login = json.load(f)
# Let it fail if login info cannot be found.
username = login["KUBEFLOW_USERNAME"]
password = login["KUBEFLOW_PASSWORD"]
if not gcp_util.basic_auth_is_ready(url, username, password):
raise Exception("Basic auth endpoint is not ready")
else:
# Owned by project kubeflow-ci-deployment.
os.environ["CLIENT_ID"] = "29647740582-7meo6c7a9a76jvg54j0g2lv8lrsb4l8g.apps.googleusercontent.com"
if not gcp_util.iap_is_ready(url):
raise Exception("IAP endpoint is not ready")
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO,
format=('%(levelname)s|%(asctime)s'
'|%(pathname)s|%(lineno)d| %(message)s'),
datefmt='%Y-%m-%dT%H:%M:%S',
)
logging.getLogger().setLevel(logging.INFO)
pytest.main()
|
import datetime
import json
import logging
import os
import subprocess
import tempfile
import uuid
from retrying import retry
import pytest
from kubeflow.testing import util
from testing import deploy_utils
from testing import gcp_util
# TODO(https://github.com/kubeflow/kfctl/issues/42):
# Test is failing pretty consistently.
@pytest.mark.xfail
# There's really no good reason to run test_endpoint during presubmits.
# We shouldn't need it to feel confident that kfctl is working.
@pytest.mark.skipif(os.getenv("JOB_TYPE") == "presubmit",
reason="test endpoint doesn't run in presubmits")
def test_endpoint_is_ready(record_xml_attribute, project, app_path, app_name, use_basic_auth):
"""Test that Kubeflow was successfully deployed.
Args:
project: The gcp project that we deployed kubeflow
app_name: The name of the kubeflow deployment
"""
util.set_pytest_junit(record_xml_attribute, "test_endpoint_is_ready")
url = "https://{}.endpoints.{}.cloud.goog".format(app_name, project)
if use_basic_auth:
with open(os.path.join(app_path, "login.json"), "r") as f:
login = json.load(f)
# Let it fail if login info cannot be found.
username = login["KUBEFLOW_USERNAME"]
password = login["KUBEFLOW_PASSWORD"]
if not gcp_util.basic_auth_is_ready(url, username, password):
raise Exception("Basic auth endpoint is not ready")
else:
# Owned by project kubeflow-ci-deployment.
os.environ["CLIENT_ID"] = "29647740582-7meo6c7a9a76jvg54j0g2lv8lrsb4l8g.apps.googleusercontent.com"
if not gcp_util.iap_is_ready(url):
raise Exception("IAP endpoint is not ready")
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO,
format=('%(levelname)s|%(asctime)s'
'|%(pathname)s|%(lineno)d| %(message)s'),
datefmt='%Y-%m-%dT%H:%M:%S',
)
logging.getLogger().setLevel(logging.INFO)
pytest.main()
|
apache-2.0
|
Python
|
291681041f434a981a54371bb7f9f1fa9637afb7
|
improve comment collapse
|
dresl/django_choice_and_question,dresl/django_choice_and_question
|
polls/admin.py
|
polls/admin.py
|
from django.contrib import admin
from polls.models import Choice, Question
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class QuestionAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['question_text']}),
('Date information', {'fields': ['pub_date'], #'classes': ['collapse']
}),
]
inlines = [ChoiceInline]
list_display = ('question_text', 'pub_date', 'was_published_recently')
list_filter = ['pub_date','question_text']
search_fields = ['question_text']
admin.site.register(Question, QuestionAdmin)
|
from django.contrib import admin
from polls.models import Choice, Question
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class QuestionAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['question_text']}),
('Date information', {'fields': ['pub_date'], #'classes': ['collapse']}),
]
inlines = [ChoiceInline]
list_display = ('question_text', 'pub_date', 'was_published_recently')
list_filter = ['pub_date','question_text']
search_fields = ['question_text']
admin.site.register(Question, QuestionAdmin)
|
apache-2.0
|
Python
|
05e496de4f6ebbb9e77c6cb1796cc1050a41a181
|
Adjust whitespace for pep8
|
tswicegood/wsgi-pratchett
|
pratchett/__init__.py
|
pratchett/__init__.py
|
HEADER = ("X-Clacks-Overhead", "GNU Terry Pratchett")
class GNUTerryPratchett(object):
def __init__(self, app):
self.app = app
def __call__(self, environ, start_response):
def clacker(status, headers, *args, **kwargs):
if HEADER not in headers:
headers.append(HEADER)
return start_response(status, headers, *args, **kwargs)
return self.app(environ, clacker)
def make_filter(global_conf):
return GNUTerryPratchett
|
HEADER = ("X-Clacks-Overhead", "GNU Terry Pratchett")
class GNUTerryPratchett(object):
def __init__(self, app):
self.app = app
def __call__(self, environ, start_response):
def clacker(status, headers, *args, **kwargs):
if HEADER not in headers:
headers.append(HEADER)
return start_response(status, headers, *args, **kwargs)
return self.app(environ, clacker)
def make_filter(global_conf):
return GNUTerryPratchett
|
apache-2.0
|
Python
|
ddb4ed6701808ed5c4e928d042b84e0c84490e58
|
Bump version 0.0.4
|
gengo/memsource-wrap,gengo/memsource-wrap
|
memsource/__init__.py
|
memsource/__init__.py
|
__author__ = 'Gengo'
__version__ = '0.0.4'
__license__ = 'MIT'
|
__author__ = 'Gengo'
__version__ = '0.0.3'
__license__ = 'MIT'
|
mit
|
Python
|
949c7b55e295b4d87f2d7a1bb98242cb055129d1
|
Solve No.140 in Python with problems
|
jonathanxqs/lintcode,jonathanxqs/lintcode
|
140.py
|
140.py
|
class Solution:
"""
@param a, b, n: 32bit integers
@return: An integer
"""
def fastPower(self, a, b, n):
ans = 1
while b > 0:
if b % 2==1:
ans = ans * a % n
a = a * a % n
b = b / 2
return ans % n
# WA because of lintcode
# AC
|
class Solution:
"""
@param a, b, n: 32bit integers
@return: An integer
"""
def fastPower(self, a, b, n):
ans = 1
while b > 0:
if b % 2==1:
ans = ans * a % n
a = a * a % n
b = b / 2
return ans % n
# WA
|
mit
|
Python
|
d10bb3695ee93ffd8b91d4d82adaf484de9e9bf1
|
Rename NeuronNetwork to NeuralNetwork
|
tysonzero/py-ann
|
ANN.py
|
ANN.py
|
from random import uniform
class Neuron:
def __init__(self, parents=[]):
self.parents = [{
'neuron': parent,
'weight': uniform(-1, 1),
'slope': uniform(-1, 1),
} for parent in parents]
def calculate(self, increment=0):
self.output = sum([parent['neuron'].output * (parent['weight'] + increment * parent['slope']) for parent in self.parents]) > 0
def mutate(self, increment):
for parent in self.parents:
parent['weight'] += increment * parent['slope']
parent['slope'] = uniform(-1, 1)
class NeuralNetwork:
def __init__(self, inputs, outputs, hidden, rows):
self.bias = Neuron()
self.neurons = []
for row in xrange(rows):
self.neurons.append([])
if row == 0:
for input_ in xrange(inputs):
self.neurons[row].append(Neuron(parents=[]))
elif row == rows - 1:
for output in xrange(outputs):
self.neurons[row].append(Neuron(parents=self.neurons[row - 1] + [self.bias]))
else:
for column in xrange(hidden):
self.neurons[row].append(Neuron(parents=self.neurons[row - 1] + [self.bias]))
self.bias.output = True
def calculate(self, inputs, increment=0):
for i, neuron_row in enumerate(self.neurons):
for j, neuron in enumerate(neuron_row):
if i == 0:
neuron.output = inputs[j]
else:
neuron.calculate(increment=increment)
return [neuron.output for neuron in self.neurons[-1]]
def mutate(self, increment):
for neuron_row in self.neurons:
for neuron in neuron_row:
neuron.mutate(increment=increment)
|
from random import uniform
class Neuron:
def __init__(self, parents=[]):
self.parents = [{
'neuron': parent,
'weight': uniform(-1, 1),
'slope': uniform(-1, 1),
} for parent in parents]
def calculate(self, increment=0):
self.output = sum([parent['neuron'].output * (parent['weight'] + increment * parent['slope']) for parent in self.parents]) > 0
def mutate(self, increment):
for parent in self.parents:
parent['weight'] += increment * parent['slope']
parent['slope'] = uniform(-1, 1)
class NeuronNetwork:
def __init__(self, inputs, outputs, hidden, rows):
self.bias = Neuron()
self.neurons = []
for row in xrange(rows):
self.neurons.append([])
if row == 0:
for input_ in xrange(inputs):
self.neurons[row].append(Neuron(parents=[]))
elif row == rows - 1:
for output in xrange(outputs):
self.neurons[row].append(Neuron(parents=self.neurons[row - 1] + [self.bias]))
else:
for column in xrange(hidden):
self.neurons[row].append(Neuron(parents=self.neurons[row - 1] + [self.bias]))
self.bias.output = True
def calculate(self, inputs, increment=0):
for i, neuron_row in enumerate(self.neurons):
for j, neuron in enumerate(neuron_row):
if i == 0:
neuron.output = inputs[j]
else:
neuron.calculate(increment=increment)
return [neuron.output for neuron in self.neurons[-1]]
def mutate(self, increment):
for neuron_row in self.neurons:
for neuron in neuron_row:
neuron.mutate(increment=increment)
|
mit
|
Python
|
4f219c4a05a251d9958543d24891955d640bc07f
|
Add more realistic responses for audit logs in tests.
|
fulcrumapp/fulcrum-python
|
tests/test_audit_log.py
|
tests/test_audit_log.py
|
import httpretty
from fulcrum.exceptions import NotFoundException, InternalServerErrorException
from tests import FulcrumTestCase
from tests.valid_objects import form as valid_form
class AuditLogTest(FulcrumTestCase):
@httpretty.activate
def test_all(self):
httpretty.register_uri(httpretty.GET, self.api_root + '/audit_logs',
body='{"audit_logs":[{"source_type":"authorization","source_id":"ec4a410f-0b76-4a65-ba58-b97eed023351","action":"create","description":"Levar Burton created API token Fulcrum Query Utility","data":{"note":"Fulcrum Query Utility","token_last_8":"f816b890","user_id":"reading-rainbow","user":"Levar Burton"},"ip":"1.1.1.1","user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36","location":"Austin, Texas, United States","latitude":30.3085,"longitude":-97.6849,"admin_area":"TX","country":"US","locality":"Austin","postal_code":"78723","id":"def-456","created_at":"2019-01-16T15:14:58Z","updated_at":"2019-01-16T15:14:58Z","actor":"Levar Burton","actor_id":"8a11c2b4-79fc-4503-85e4-056671c41e6f","time":"2019-01-16T15:14:58Z"},{"source_type":"choice_list","source_id":"1c0b0ea3-66cd-4b69-9fe7-20a9e9f07556","action":"create","description":"Levar Burton created choice list New Choice List","data":null,"ip":"1.1.1.1","user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36","location":"Tampa, Florida, United States","latitude":27.9987,"longitude":-82.5156,"admin_area":"FL","country":"US","locality":"Tampa","postal_code":"33614","id":"ghi-789","created_at":"2019-01-22T16:11:15Z","updated_at":"2019-01-22T16:11:15Z","actor":"Levar Burton","actor_id":"094ed10f-cd99-4a58-9b4b-65ab5b31b791","time":"2019-01-22T16:11:15Z"}],"current_page":1,"total_pages":30,"total_count":60,"per_page":2}',
status=200)
audit_logs = self.fulcrum_api.audit_logs.search()
self.assertIsInstance(audit_logs, dict)
self.assertEqual(len(audit_logs['audit_logs']), 2)
self.assertEqual(audit_logs['audit_logs'][0]['id'], 'def-456')
self.assertEqual(audit_logs['audit_logs'][1]['id'], 'ghi-789')
@httpretty.activate
def test_find(self):
httpretty.register_uri(httpretty.GET, self.api_root + '/audit_logs/abc-123',
body='{"audit_log":{"source_type":"form","source_id":"zxy-987","action":"update","description":"Jason Sanford updated app GeoBooze - Changed:[Section:actions - YesNoField:post_to_slack];[RecordLinkField:beer_type];","data":null,"ip":"1.1.1.1","user_agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36","location":"Ashburn, Virginia, United States","latitude":39.0481,"longitude":-77.4728,"admin_area":"VA","country":"US","locality":"Ashburn","postal_code":"20149","id":"abc-123","created_at":"2019-01-10T17:29:16Z","updated_at":"2019-01-10T17:29:16Z","actor":"George Costanza","actor_id":"abc123","time":"2019-01-10T17:29:16Z"}}',
status=200)
audit_log = self.fulcrum_api.audit_logs.find('abc-123')
self.assertIsInstance(audit_log, dict)
self.assertEqual(audit_log['audit_log']['id'], 'abc-123')
|
import httpretty
from fulcrum.exceptions import NotFoundException, InternalServerErrorException
from tests import FulcrumTestCase
from tests.valid_objects import form as valid_form
class AuditLogTest(FulcrumTestCase):
@httpretty.activate
def test_all(self):
httpretty.register_uri(httpretty.GET, self.api_root + '/audit_logs',
body='{"audit_logs": [{"id": 1},{"id": 2}], "total_count": 2, "current_page": 1, "total_pages": 1, "per_page": 20000}',
status=200)
audit_logs = self.fulcrum_api.audit_logs.search()
self.assertIsInstance(audit_logs, dict)
self.assertEqual(len(audit_logs['audit_logs']), 2)
@httpretty.activate
def test_find(self):
httpretty.register_uri(httpretty.GET, self.api_root + '/audit_logs/5b656cd8-f3ef-43e9-8d22-84d015052778',
body='{"record_count": 4, "description": "Food Carts and Trucks in Denver", "id": "5b656cd8-f3ef-43e9-8d22-84d015052778"}',
status=200)
audit_log = self.fulcrum_api.audit_logs.find('5b656cd8-f3ef-43e9-8d22-84d015052778')
self.assertIsInstance(audit_log, dict)
self.assertEqual(audit_log['id'], '5b656cd8-f3ef-43e9-8d22-84d015052778')
@httpretty.activate
def test_find_not_found(self):
httpretty.register_uri(httpretty.GET, self.api_root + '/audit_logs/lobster', status=404)
try:
self.fulcrum_api.audit_logs.find('lobster')
except Exception as exc:
self.assertIsInstance(exc, NotFoundException)
|
apache-2.0
|
Python
|
f2cc74d79abf42c0f199c48ef9110bce6cec45b4
|
Update alcatel_sros_ssh.py
|
jumpojoy/netmiko,isidroamv/netmiko,ktbyers/netmiko,fooelisa/netmiko,rdezavalia/netmiko,rdezavalia/netmiko,ktbyers/netmiko,shamanu4/netmiko,shamanu4/netmiko,fooelisa/netmiko,isidroamv/netmiko,jumpojoy/netmiko,shsingh/netmiko,shsingh/netmiko
|
netmiko/alcatel/alcatel_sros_ssh.py
|
netmiko/alcatel/alcatel_sros_ssh.py
|
'''
Alcatel-Lucent SROS support
'''
from netmiko.ssh_connection import SSHConnection
class AlcatelSrosSSH(SSHConnection):
'''
SROS support
'''
def session_preparation(self):
self.disable_paging(command="environment no more\n")
def enable(self):
pass
|
'''
Alcatel-Lucent SROS support
'''
from netmiko.ssh_connection import SSHConnection
class AlcatelSrosSSH(SSHConnection):
'''
SROS support
'''
def session_preparation(self):
self.disable_paging(command="\environment no more\n")
def enable(self):
pass
|
mit
|
Python
|
91ff2ed96dc3ba197f71be935ac23796d40ef5dc
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/812a20bfa97f7b56eb3340c2f75358db58483974.
|
Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,frreiss/tensorflow-fred,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,frreiss/tensorflow-fred,frreiss/tensorflow-fred,tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,paolodedios/tensorflow,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,frreiss/tensorflow-fred,Intel-Corporation/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,yongtang/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,frreiss/tensorflow-fred,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,karllessard/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,yongtang/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "812a20bfa97f7b56eb3340c2f75358db58483974"
TFRT_SHA256 = "8235d34c674a842fb08f5fc7f7b6136a1af1dbb20a2ec7213dd99848b884878f"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "c442a283246c2060d139d4cadb0f8ff59ee7e7da"
TFRT_SHA256 = "649107aabf7a242678448c44d4a51d5355904222de7d454a376ad511c803cf0f"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
apache-2.0
|
Python
|
49ad9b8162a9113f3c4c69818553de2cb6bf66df
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/da541333433f74881d8f44947369756d40d5e7fe.
|
tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,karllessard/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "da541333433f74881d8f44947369756d40d5e7fe"
TFRT_SHA256 = "df492c902908141405e88af81c4bb72580e3a5615bd91448b7c44a2c0d29009a"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "bdb99de6e7e5fcd5a7e55895bb1c658ea0336136"
TFRT_SHA256 = "a251c274cf0bbd805e221677cf4988c27156af54655b906eab11d9e3ee37d0b5"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
be0e9cf9a195f44a033bb8b3aeb13febf3cea9cf
|
Remove check in token credential (#14134)
|
yugangw-msft/azure-cli,yugangw-msft/azure-cli,yugangw-msft/azure-cli,yugangw-msft/azure-cli,yugangw-msft/azure-cli,yugangw-msft/azure-cli
|
src/azure-cli/azure/cli/command_modules/storage/oauth_token_util.py
|
src/azure-cli/azure/cli/command_modules/storage/oauth_token_util.py
|
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import threading
from knack.log import get_logger
logger = get_logger(__name__)
class TokenUpdater(object):
"""
This class updates a given token_credential periodically using the provided callback function.
It shows one way of making sure the credential does not become expired.
"""
def __init__(self, token_credential, cli_ctx):
self.token_credential = token_credential
self.cli_ctx = cli_ctx
# the timer needs to be protected, as later on it is possible that one thread is setting a new timer and
# another thread is trying to cancel the timer
self.lock = threading.Lock()
self.timer_callback()
def timer_callback(self):
# call to get a new token and set a timer
from azure.cli.core._profile import Profile
from datetime import datetime
# should give back token that is valid for at least 5 mins
token = Profile(cli_ctx=self.cli_ctx).get_raw_token(
resource="https://storage.azure.com", subscription=self.cli_ctx.data['subscription_id'])[0][2]
try:
self.token_credential.token = token['accessToken']
expire = token['expiresOn']
seconds_left = (datetime.strptime(expire, "%Y-%m-%d %H:%M:%S.%f") - datetime.now()).seconds
except KeyError: # needed to deal with differing unserialized MSI token payload
self.token_credential.token = token['access_token']
expire = datetime.fromtimestamp(int(token['expires_on']))
seconds_left = (expire - datetime.now()).seconds
if seconds_left < 180:
logger.warning("Acquired token will expire on %s. Current time is %s.", expire, datetime.now())
with self.lock:
self.timer = threading.Timer(seconds_left - 180, self.timer_callback)
self.timer.daemon = True
self.timer.start()
def cancel(self):
# the timer needs to be canceled once the command has finished executing
# if not the timer will keep going
with self.lock:
self.timer.cancel()
|
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import threading
class TokenUpdater(object):
"""
This class updates a given token_credential periodically using the provided callback function.
It shows one way of making sure the credential does not become expired.
"""
def __init__(self, token_credential, cli_ctx):
self.token_credential = token_credential
self.cli_ctx = cli_ctx
# the timer needs to be protected, as later on it is possible that one thread is setting a new timer and
# another thread is trying to cancel the timer
self.lock = threading.Lock()
self.timer_callback()
def timer_callback(self):
# call to get a new token and set a timer
from azure.cli.core._profile import Profile
from datetime import datetime
# should give back token that is valid for at least 5 mins
token = Profile(cli_ctx=self.cli_ctx).get_raw_token(
resource="https://storage.azure.com", subscription=self.cli_ctx.data['subscription_id'])[0][2]
try:
self.token_credential.token = token['accessToken']
seconds_left = (datetime.strptime(token['expiresOn'], "%Y-%m-%d %H:%M:%S.%f") - datetime.now()).seconds
except KeyError: # needed to deal with differing unserialized MSI token payload
self.token_credential.token = token['access_token']
seconds_left = (datetime.fromtimestamp(int(token['expires_on'])) - datetime.now()).seconds
if seconds_left < 180:
# acquired token expires in less than 3 mins
raise Exception("Acquired a token expiring in less than 3 minutes")
with self.lock:
self.timer = threading.Timer(seconds_left - 180, self.timer_callback)
self.timer.daemon = True
self.timer.start()
def cancel(self):
# the timer needs to be canceled once the command has finished executing
# if not the timer will keep going
with self.lock:
self.timer.cancel()
|
mit
|
Python
|
a8a0e24d9ee90676601a52c564eadb7ff264d5cd
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/356740e3a2bf884abd27b2ca362fe8108a7cd257.
|
karllessard/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,sarvex/tensorflow,yongtang/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,sarvex/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,frreiss/tensorflow-fred,karllessard/tensorflow,paolodedios/tensorflow,sarvex/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,karllessard/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,sarvex/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "356740e3a2bf884abd27b2ca362fe8108a7cd257"
TFRT_SHA256 = "c5c806b5f5acb345eca8db4bc49053df60d0b368193f5b78346cf6acdc4bc3e8"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "b570a1921c9e55ac53c8972bd2bfd37cd0eb510d"
TFRT_SHA256 = "01295fc2a90aa2d665890adbe8701e2ae2372028d3b8266cba38ceddccb42af6"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
apache-2.0
|
Python
|
ce977d24d49b7e03b6db5b5590e8fc0ddf8e9127
|
fix the deploy order in the daemon. closes #862
|
nprapps/elections14,nprapps/elections14,nprapps/elections14,nprapps/elections14
|
fabfile/daemons.py
|
fabfile/daemons.py
|
#!/usr/bin/env python
from time import sleep, time
from fabric.api import execute, task, env
import app_config
import sys
import traceback
def safe_execute(*args, **kwargs):
"""
Wrap execute() so that all exceptions are caught and logged.
"""
try:
execute(*args, **kwargs)
except:
print "ERROR [timestamp: %d]: Here's the traceback" % time()
ex_type, ex, tb = sys.exc_info()
traceback.print_tb(tb)
del tb
@task
def deploy():
"""
Harvest data and deploy slides indefinitely
"""
while True:
start = time()
safe_execute('ap.update')
safe_execute('data.load_updates', 'data/update.json')
safe_execute('liveblog.update')
safe_execute('deploy_bop')
safe_execute('deploy_big_boards')
safe_execute('deploy_slides')
duration = int(time() - start)
wait = app_config.DEPLOY_INTERVAL - duration
print "== Deploying slides ran in %ds, waiting %ds ==" % (duration, wait)
if wait < 0:
print "WARN: Deploying slides took %d seconds longer than %d" % (abs(wait), app_config.DEPLOY_INTERVAL)
wait = 0
sleep(wait)
|
#!/usr/bin/env python
from time import sleep, time
from fabric.api import execute, task, env
import app_config
import sys
import traceback
def safe_execute(*args, **kwargs):
"""
Wrap execute() so that all exceptions are caught and logged.
"""
try:
execute(*args, **kwargs)
except:
print "ERROR [timestamp: %d]: Here's the traceback" % time()
ex_type, ex, tb = sys.exc_info()
traceback.print_tb(tb)
del tb
@task
def deploy():
"""
Harvest data and deploy slides indefinitely
"""
while True:
start = time()
safe_execute('ap.update')
safe_execute('data.load_updates', 'data/update.json')
safe_execute('liveblog.update')
safe_execute('deploy_slides')
safe_execute('deploy_big_boards')
safe_execute('deploy_bop')
duration = int(time() - start)
wait = app_config.DEPLOY_INTERVAL - duration
print "== Deploying slides ran in %ds, waiting %ds ==" % (duration, wait)
if wait < 0:
print "WARN: Deploying slides took %d seconds longer than %d" % (abs(wait), app_config.DEPLOY_INTERVAL)
wait = 0
sleep(wait)
|
mit
|
Python
|
7e95e0b8adb4315c8f8a0c5aa8c6ccc588cbee18
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/0d8bae2de531db2e4e4efd3a4e168b39795458b9.
|
tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,paolodedios/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "0d8bae2de531db2e4e4efd3a4e168b39795458b9"
TFRT_SHA256 = "fa7cd1e72eec99562bf916e071222df2e72e90c67dcb14137ffbef07a4fcac5f"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "4b2fe81ea82e4c33783b5b62973fbe84dbc6f484"
TFRT_SHA256 = "f0e6e0fd3e5245d993cd4146d8245e130e724d0070401a25f730b02c7296d1c4"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
e2d066811a5e943600c170aba0cf797c104d1588
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/5f6e52142a3592d0cfa058dbfd140cad49ed451a.
|
google/tsl,google/tsl,google/tsl
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "5f6e52142a3592d0cfa058dbfd140cad49ed451a"
TFRT_SHA256 = "8e1efbd7df0fdeb5186b178d7c8b90c33ba80cef54999e988097bd1ff0f4e8fe"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "736eeebfb56c6d0de138f4a29286140d8c26d927"
TFRT_SHA256 = "b584ee5ce5ecaadf289b0997987dfb5eec6cf3623f30b83028923cad20914e61"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
a70e0abdf409d770ddbb9faf3cc66c26fc03b076
|
fix fbproject tests following new pystan version
|
Kaggle/docker-python,Kaggle/docker-python
|
tests/test_fbprophet.py
|
tests/test_fbprophet.py
|
import unittest
import numpy as np
import pandas as pd
from fbprophet import Prophet
class TestFbProphet(unittest.TestCase):
def test_fit(self):
train = pd.DataFrame({
'ds': np.array(['2012-05-18', '2012-05-20']),
'y': np.array([38.23, 21.25])
})
forecaster = Prophet(mcmc_samples=1)
forecaster.fit(train, control={'adapt_engaged': False})
|
import unittest
import numpy as np
import pandas as pd
from fbprophet import Prophet
class TestFbProphet(unittest.TestCase):
def test_fit(self):
train = pd.DataFrame({
'ds': np.array(['2012-05-18', '2012-05-20']),
'y': np.array([38.23, 21.25])
})
forecaster = Prophet(mcmc_samples=1)
forecaster.fit(train)
|
apache-2.0
|
Python
|
7461c7b6b729c38194ebb5e88b33e7bcc73b4c9c
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/53604b1779bdbea70bed75fe1695b503e06be323.
|
tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,Intel-Corporation/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "53604b1779bdbea70bed75fe1695b503e06be323"
TFRT_SHA256 = "b2ce14585f2707ec56b013323fde0ff10ddecdf608854dcf332c46244e0dbd20"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "1c915c952cea8e5d290d241b3a0178856a9ec35b"
TFRT_SHA256 = "97f8ad0010b924f8489ca04e8e5aa5aea4a69013293e6575137176a6a8d80168"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
0fe76a38aff965aca9f672b48ed4a4933ee10161
|
add an argument taskid to EventLoopProgressReportWriter.write()
|
TaiSakuma/AlphaTwirl,alphatwirl/alphatwirl,alphatwirl/alphatwirl,alphatwirl/alphatwirl,alphatwirl/alphatwirl,TaiSakuma/AlphaTwirl
|
AlphaTwirl/EventReader/EventLoopProgressReportWriter.py
|
AlphaTwirl/EventReader/EventLoopProgressReportWriter.py
|
# Tai Sakuma <[email protected]>
from AlphaTwirl.ProgressBar import ProgressReport
##____________________________________________________________________________||
class EventLoopProgressReportWriter(object):
def write(self, taskid, component, event):
return ProgressReport(
name = component.name,
done = event.iEvent + 1,
total = event.nEvents,
taskid = taskid
)
##____________________________________________________________________________||
|
# Tai Sakuma <[email protected]>
from AlphaTwirl.ProgressBar import ProgressReport
##____________________________________________________________________________||
class EventLoopProgressReportWriter(object):
def write(self, component, event):
return ProgressReport(name = component.name, done = event.iEvent + 1, total = event.nEvents)
##____________________________________________________________________________||
|
bsd-3-clause
|
Python
|
662cc443f7c32182aaef89e5b61e90797b7e3e58
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/81d27bd006f86cc3fd3d78a7193583ab9d18367a.
|
tensorflow/tensorflow-pywrap_saved_model,frreiss/tensorflow-fred,yongtang/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,Intel-Corporation/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,frreiss/tensorflow-fred,gautam1858/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,frreiss/tensorflow-fred,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,Intel-Corporation/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,paolodedios/tensorflow,frreiss/tensorflow-fred,Intel-Corporation/tensorflow,tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow,frreiss/tensorflow-fred,frreiss/tensorflow-fred
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "81d27bd006f86cc3fd3d78a7193583ab9d18367a"
TFRT_SHA256 = "f7cafc8d2b512ff3be61dc5a3d8a3a5bcc3e749b213c1afa4909116b90710e2e"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "bd4c5dc54997aaffe6f37a802b106c3ac88f150f"
TFRT_SHA256 = "a3ee3c259c5d7ea631177a75195b35bbfb695d69ad70adf4b0830ee2d91a9625"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
apache-2.0
|
Python
|
f0d76cae236cded0bfa6cc0f6486efb04daeb133
|
convert latency to int before posting to cbmonitor
|
couchbase/perfrunner,pavel-paulau/perfrunner,couchbase/perfrunner,pavel-paulau/perfrunner,couchbase/perfrunner,pavel-paulau/perfrunner,pavel-paulau/perfrunner,couchbase/perfrunner,couchbase/perfrunner,couchbase/perfrunner,pavel-paulau/perfrunner
|
cbagent/collectors/secondary_latency.py
|
cbagent/collectors/secondary_latency.py
|
import os.path
from cbagent.collectors import Collector
class SecondaryLatencyStats(Collector):
COLLECTOR = "secondaryscan_latency"
def _get_secondaryscan_latency(self):
stats = {}
if os.path.isfile(self.secondary_statsfile):
with open(self.secondary_statsfile, 'rb') as fh:
next(fh).decode()
fh.seek(-400, 2)
last = fh.readlines()[-1].decode()
duration = last.split(',')[-1]
stats = {}
latency = duration.split(':')[1]
latency = latency.rstrip()
latency_key = duration.split(':')[0]
latency_key = latency_key.strip()
stats[latency_key] = int(latency)
return stats
def sample(self):
stats = self._get_secondaryscan_latency()
if stats:
self.update_metric_metadata(stats.keys())
self.store.append(stats, cluster=self.cluster, collector=self.COLLECTOR)
def update_metadata(self):
self.mc.add_cluster()
|
import os.path
from cbagent.collectors import Collector
class SecondaryLatencyStats(Collector):
COLLECTOR = "secondaryscan_latency"
def _get_secondaryscan_latency(self):
stats = {}
if os.path.isfile(self.secondary_statsfile):
with open(self.secondary_statsfile, 'rb') as fh:
next(fh).decode()
fh.seek(-400, 2)
last = fh.readlines()[-1].decode()
duration = last.split(',')[-1]
stats = {}
latency = duration.split(':')[1]
latency = latency.rstrip()
latency_key = duration.split(':')[0]
latency_key = latency_key.strip()
stats[latency_key] = latency
return stats
def sample(self):
stats = self._get_secondaryscan_latency()
if stats:
self.update_metric_metadata(stats.keys())
self.store.append(stats, cluster=self.cluster, collector=self.COLLECTOR)
def update_metadata(self):
self.mc.add_cluster()
|
apache-2.0
|
Python
|
69c9322827ed95ce845b49119bc58aa4f36d82bb
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/ecf8607212b519546828e3fcc66f68985597a622.
|
gautam1858/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,yongtang/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "ecf8607212b519546828e3fcc66f68985597a622"
TFRT_SHA256 = "545c097a241ff80701e54d1e088762f27a7494980f01c08fee3ce3aeb4fd22cf"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "078534d79809852ea069d23bbacd2483ade18c11"
TFRT_SHA256 = "55905ff389c5294ac1ce4be5e3f0af2d171e6061aa886fb66d59e3636f03412b"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
66284e57accec5977d606fc91a0b28177b352eb4
|
Add end-to-end integration testing for all compression types
|
dpkp/kafka-python,ohmu/kafka-python,Yelp/kafka-python,ohmu/kafka-python,zackdever/kafka-python,Aloomaio/kafka-python,DataDog/kafka-python,Aloomaio/kafka-python,wikimedia/operations-debs-python-kafka,mumrah/kafka-python,scrapinghub/kafka-python,mumrah/kafka-python,dpkp/kafka-python,Yelp/kafka-python,scrapinghub/kafka-python,wikimedia/operations-debs-python-kafka,zackdever/kafka-python
|
test/test_producer.py
|
test/test_producer.py
|
import pytest
from kafka import KafkaConsumer, KafkaProducer
from test.conftest import version
from test.testutil import random_string
@pytest.mark.skipif(not version(), reason="No KAFKA_VERSION set")
@pytest.mark.parametrize("compression", [None, 'gzip', 'snappy', 'lz4'])
def test_end_to_end(kafka_broker, compression):
# LZ4 requires 0.8.2
if compression == 'lz4' and version() < (0, 8, 2):
return
connect_str = 'localhost:' + str(kafka_broker.port)
producer = KafkaProducer(bootstrap_servers=connect_str,
max_block_ms=10000,
compression_type=compression,
value_serializer=str.encode)
consumer = KafkaConsumer(bootstrap_servers=connect_str,
group_id=None,
consumer_timeout_ms=10000,
auto_offset_reset='earliest',
value_deserializer=bytes.decode)
topic = random_string(5)
for i in range(1000):
producer.send(topic, 'msg %d' % i)
producer.flush()
producer.close()
consumer.subscribe([topic])
msgs = set()
for i in range(1000):
try:
msgs.add(next(consumer).value)
except StopIteration:
break
assert msgs == set(['msg %d' % i for i in range(1000)])
|
import pytest
from kafka import KafkaConsumer, KafkaProducer
from test.conftest import version
from test.testutil import random_string
@pytest.mark.skipif(not version(), reason="No KAFKA_VERSION set")
def test_end_to_end(kafka_broker):
connect_str = 'localhost:' + str(kafka_broker.port)
producer = KafkaProducer(bootstrap_servers=connect_str,
max_block_ms=10000,
value_serializer=str.encode)
consumer = KafkaConsumer(bootstrap_servers=connect_str,
group_id=None,
consumer_timeout_ms=10000,
auto_offset_reset='earliest',
value_deserializer=bytes.decode)
topic = random_string(5)
for i in range(1000):
producer.send(topic, 'msg %d' % i)
producer.flush()
producer.close()
consumer.subscribe([topic])
msgs = set()
for i in range(1000):
try:
msgs.add(next(consumer).value)
except StopIteration:
break
assert msgs == set(['msg %d' % i for i in range(1000)])
|
apache-2.0
|
Python
|
7c12b82cb410540dfa3b65150ce39924b5793bce
|
handle package.json exceptions
|
piton-package-manager/piton
|
python_package_manager/utils/package_json.py
|
python_package_manager/utils/package_json.py
|
import os
import json
def get_dependencies():
package_file_path = os.path.join(os.getcwd(), 'package.json')
try:
with open(package_file_path, 'r') as infile:
package_dict = json.load(infile)
dependencies = package_dict.get("pythonDependencies", [])
dependencies_dev = package_dict.get("pythonDevDependencies", [])
except:
print("unable to read package.json")
return []
return dependencies
def write_dependencies(dependencies):
package_file_path = os.path.join(os.getcwd(), 'package.json')
try:
with open(package_file_path, 'r') as infile:
package_dict = json.load(infile)
package_dict["pythonDependencies"] = dependencies
except:
print("unable to read package.json")
return
try:
with open(package_file_path, 'w') as outfile:
json.dump(package_dict, outfile, indent=2)
except:
print("unable to write package.json")
return
|
import os
import json
def get_dependencies():
package_file_path = os.path.join(os.getcwd(), 'package.json')
with open(package_file_path, 'r') as infile:
package_dict = json.load(infile)
dependencies = package_dict.get("pythonDependencies", [])
dependencies_dev = package_dict.get("pythonDevDependencies", [])
return dependencies
def write_dependencies(dependencies):
package_file_path = os.path.join(os.getcwd(), 'package.json')
with open(package_file_path, 'r') as infile:
package_dict = json.load(infile)
package_dict["pythonDependencies"] = dependencies
with open(package_file_path, 'w') as outfile:
json.dump(package_dict, outfile, indent=2)
|
mit
|
Python
|
b0dd18d4e4e18dafae9d93848f633afc396c91b4
|
remove outdated/misguided meta __variables__, https://mail.python.org/pipermail/python-dev/2001-March/013328.html
|
fastly/fastly-py,fastly/fastly-py
|
fastly/__init__.py
|
fastly/__init__.py
|
from fastly import *
|
"""
"""
from fastly import *
__author__ = 'Tyler McMullen <[email protected]>'
__copyright__ = 'Copyright (c) 2012 Fastly Inc'
__license__ = 'BSD'
__version__ = '0.0.1'
__url__ = 'http://www.fastly.com/docs/fastly-py'
|
mit
|
Python
|
bc02e845f4a8b726f7474efa77753c7de6fe600b
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/300e7ac61cda0eb2ddb13b7f2ad850d80646adcd.
|
gautam1858/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow,frreiss/tensorflow-fred,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,Intel-Corporation/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,karllessard/tensorflow,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,gautam1858/tensorflow,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,karllessard/tensorflow,frreiss/tensorflow-fred,gautam1858/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,frreiss/tensorflow-fred,karllessard/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "300e7ac61cda0eb2ddb13b7f2ad850d80646adcd"
TFRT_SHA256 = "2b79ada8dbacd5de1b868121822ffde58564a1f8749c4f3d91f8f951e76c3fbc"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "ed6f666ac14b939d7303607c950b88b7d5607c46"
TFRT_SHA256 = "b99fed746abe39cb0b072e773af53a4c7189056737fc0118ef3b013c187660c9"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
|
apache-2.0
|
Python
|
42a147b0dcc24ea51207cca020d2bfc6fa7bde46
|
Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/926650aa8e303d62814e45f709d16673501d96bc.
|
tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow
|
third_party/tf_runtime/workspace.bzl
|
third_party/tf_runtime/workspace.bzl
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "926650aa8e303d62814e45f709d16673501d96bc"
TFRT_SHA256 = "f178d137127c3a67962362f596b8015fdcdc58271e1e3d692eba47b09d31402a"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
"""Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "d50aae4b79fb4aa5a3c4dd280004313c7f1fda51"
TFRT_SHA256 = "3d02021cbd499d749eeb4e3e6bdcd47a67695bfc145827c5821548c3c6f1494c"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
|
apache-2.0
|
Python
|
4cbbe7c3ab891a11492f368d780a1416d37358ff
|
Change the method of generating content of GUID element
|
feedzilla/feedzilla,feedzilla/feedzilla,feedzilla/feedzilla
|
feedzilla/syndication.py
|
feedzilla/syndication.py
|
# -*- coding: utf-8 -*-
# Copyright: 2011, Grigoriy Petukhov
# Author: Grigoriy Petukhov (http://lorien.name)
# License: BSD
from django.contrib.syndication.views import Feed
from django.conf import settings
from feedzilla.models import Post
class PostFeed(Feed):
title_template = 'feedzilla/feed/post_title.html'
description_template = 'feedzilla/feed/post_description.html'
title = settings.FEEDZILLA_SITE_TITLE
description = settings.FEEDZILLA_SITE_DESCRIPTION
link = '/'
def items(self, obj):
return Post.active_objects.all()\
.order_by('-created')[:settings.FEEDZILLA_PAGE_SIZE]
#def item_title(self, item):
#return item.name
#def item_description(self, item):
#return item.description
def item_pubdate(self, item):
return item.created
def item_guid(self, item):
return item.link
|
# -*- coding: utf-8 -*-
# Copyright: 2011, Grigoriy Petukhov
# Author: Grigoriy Petukhov (http://lorien.name)
# License: BSD
from django.contrib.syndication.views import Feed
from django.conf import settings
from feedzilla.models import Post
class PostFeed(Feed):
title_template = 'feedzilla/feed/post_title.html'
description_template = 'feedzilla/feed/post_description.html'
title = settings.FEEDZILLA_SITE_TITLE
description = settings.FEEDZILLA_SITE_DESCRIPTION
link = '/'
def items(self, obj):
return Post.active_objects.all()\
.order_by('-created')[:settings.FEEDZILLA_PAGE_SIZE]
#def item_title(self, item):
#return item.name
#def item_description(self, item):
#return item.description
def item_pubdate(self, item):
return item.created
def item_guid(self, item):
return str(item.guid)
|
bsd-3-clause
|
Python
|
4e942272c00c943eb2402a94b86f2c5a0c778ac0
|
update post_sync tests
|
adorton-adobe/user-sync.py,adorton-adobe/user-sync.py,adobe-apiplatform/user-sync.py,adobe-apiplatform/user-sync.py
|
tests/test_post_sync.py
|
tests/test_post_sync.py
|
import pytest
from user_sync.post_sync.manager import PostSyncData
@pytest.fixture
def example_user():
return {
'type': 'federatedID',
'username': '[email protected]',
'domain': 'example.com',
'email': '[email protected]',
'firstname': 'Example',
'lastname': 'User',
'groups': set(),
'country': 'US',
}
def test_add_umapi_user(example_user):
email_id = '[email protected]'
post_sync_data = PostSyncData()
post_sync_data.update_umapi_data(None, email_id, [], [], **example_user)
assert post_sync_data.umapi_data[None][email_id] == example_user
def test_add_groups(example_user):
post_sync_data = PostSyncData()
email_id = '[email protected]'
example_user['groups'] = {'group1', 'group2', 'group3'}
groups_add = ['group3', 'group4', 'group5']
post_sync_data.update_umapi_data(None, email_id, groups_add, [], **example_user)
assert post_sync_data.umapi_data[None][email_id]['groups'] == example_user['groups'] | set(groups_add)
def test_remove_groups(example_user):
post_sync_data = PostSyncData()
email_id = '[email protected]'
example_user['groups'] = {'group1', 'group2', 'group3'}
groups_remove = ['group1', 'group2']
post_sync_data.update_umapi_data(None, email_id, [], groups_remove, **example_user)
assert post_sync_data.umapi_data[None][email_id]['groups'] == example_user['groups'] - set(groups_remove)
def test_add_remove_groups(example_user):
post_sync_data = PostSyncData()
email_id = '[email protected]'
example_user['groups'] = {'group1', 'group2', 'group3', 'group4', 'group5'}
groups_add = ['group6']
groups_remove = ['group1', 'group2']
post_sync_data.update_umapi_data(None, email_id, groups_add, groups_remove, **example_user)
delta_groups = example_user['groups'] | set(groups_add)
delta_groups -= set(groups_remove)
assert post_sync_data.umapi_data[None][email_id]['groups'] == delta_groups
|
import pytest
from user_sync.post_sync import manager
PostSyncManager = manager.PostSyncManager
@pytest.fixture
def example_user():
return {
'identity_type': 'federatedID',
'username': '[email protected]',
'domain': 'example.com',
'email': '[email protected]',
'firstname': 'Example',
'lastname': 'User',
'groups': [],
'country': 'US',
}
def test_add_umapi_user(example_user, monkeypatch):
with monkeypatch.context() as m:
m.setattr(manager, '_SYNC_DATA_STORE', {})
email_id = '[email protected]'
PostSyncManager.update_sync_data(email_id, 'umapi_data', [], [], **example_user)
assert manager._SYNC_DATA_STORE[email_id.lower()]['umapi_data'] == example_user
def test_add_groups(example_user, monkeypatch):
with monkeypatch.context() as m:
m.setattr(manager, '_SYNC_DATA_STORE', {})
email_id = '[email protected]'
example_user['groups'] = ['group1', 'group2', 'group3']
groups_add = ['group3', 'group4', 'group5']
PostSyncManager.update_sync_data(email_id, 'umapi_data', groups_add, [], **example_user)
assert sorted(manager._SYNC_DATA_STORE[email_id.lower()]['umapi_data']['groups']) == sorted(list(set(
example_user['groups']) | set(groups_add)))
def test_remove_groups(example_user, monkeypatch):
with monkeypatch.context() as m:
m.setattr(manager, '_SYNC_DATA_STORE', {})
email_id = '[email protected]'
example_user['groups'] = ['group1', 'group2', 'group3']
groups_remove = ['group1', 'group2']
PostSyncManager.update_sync_data(email_id, 'umapi_data', [], groups_remove, **example_user)
assert sorted(manager._SYNC_DATA_STORE[email_id.lower()]['umapi_data']['groups']) == sorted(list(set(
example_user['groups']) - set(groups_remove)))
def test_add_remove_groups(example_user, monkeypatch):
with monkeypatch.context() as m:
m.setattr(manager, '_SYNC_DATA_STORE', {})
email_id = '[email protected]'
example_user['groups'] = ['group1', 'group2', 'group3', 'group4', 'group5']
groups_add = ['group6']
groups_remove = ['group1', 'group2']
PostSyncManager.update_sync_data(email_id, 'umapi_data', groups_add, groups_remove, **example_user)
delta_groups = list(set(example_user['groups']) | set(groups_add))
delta_groups = list(set(delta_groups) - set(groups_remove))
assert sorted(manager._SYNC_DATA_STORE[email_id.lower()]['umapi_data']['groups']) == sorted(delta_groups)
|
mit
|
Python
|
20dc4b6d80842579740ed91ebb848446a0cecdbf
|
fix test_settings
|
eloquence/unisubs,wevoice/wesub,ujdhesa/unisubs,norayr/unisubs,ReachingOut/unisubs,ReachingOut/unisubs,pculture/unisubs,pculture/unisubs,norayr/unisubs,norayr/unisubs,norayr/unisubs,ofer43211/unisubs,ujdhesa/unisubs,eloquence/unisubs,wevoice/wesub,ReachingOut/unisubs,ofer43211/unisubs,ofer43211/unisubs,eloquence/unisubs,eloquence/unisubs,ujdhesa/unisubs,ujdhesa/unisubs,ofer43211/unisubs,wevoice/wesub,pculture/unisubs,wevoice/wesub,pculture/unisubs,ReachingOut/unisubs
|
test_settings.py
|
test_settings.py
|
from settings import *
__import__('dev-settings', globals(), locals(), ['*'], -1)
ROOT_URLCONF = 'urls'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': rel('mirosubs.sqlite3'),
}
}
INSTALLED_APPS += ('django_nose', )
INSTALLED_APPS = list(INSTALLED_APPS)
INSTALLED_APPS.remove('mirosubs')
TEST_RUNNER = 'django_nose.NoseTestSuiteRunner'
|
from settings import *
ROOT_URLCONF = 'urls'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': rel('mirosubs.sqlite3'),
}
}
INSTALLED_APPS += ('django_nose', )
INSTALLED_APPS = list(INSTALLED_APPS)
INSTALLED_APPS.remove('mirosubs')
TEST_RUNNER = 'django_nose.NoseTestSuiteRunner'
|
agpl-3.0
|
Python
|
555981d288b1e3970e2cb9432db3e72f57ba48b4
|
deal with zero args corner case and return correct type
|
FInAT/FInAT
|
finat/pyop2_interface.py
|
finat/pyop2_interface.py
|
try:
from pyop2.pyparloop import Kernel
except:
Kernel = None
from .interpreter import evaluate
def pyop2_kernel(kernel, kernel_args, interpreter=False):
"""Return a :class:`pyop2.Kernel` from the recipe and kernel data
provided.
:param kernel: The :class:`~.utils.Kernel` to map to PyOP2.
:param kernel_args: The ordered list of Pymbolic variables constituting
the kernel arguments, excluding the result of the recipe (the latter
should be prepended to the argument list).
:param interpreter: If set to ``True``, the kernel will be
evaluated using the FInAT interpreter instead of generating a
compiled kernel.
:result: The :class:`pyop2.Kernel`
"""
if Kernel is None:
raise ImportError("pyop2 was not imported. Is it installed?")
if kernel_args and \
set(kernel_args) != kernel.kernel_data.kernel_args:
raise ValueError("Incomplete value list")
if interpreter:
def kernel_function(*args):
context = {kernel_args: args[1:]}
args[0][:] = evaluate(kernel.recipe, context, kernel.kernel_data)
return Kernel(kernel_function)
else:
raise NotImplementedError
|
try:
from pyop2.pyparloop import Kernel
except:
Kernel = None
from .interpreter import evaluate
def pyop2_kernel(kernel, kernel_args, interpreter=False):
"""Return a :class:`pyop2.Kernel` from the recipe and kernel data
provided.
:param kernel: The :class:`~.utils.Kernel` to map to PyOP2.
:param kernel_args: The ordered list of Pymbolic variables constituting
the kernel arguments, excluding the result of the recipe (the latter
should be prepended to the argument list).
:param interpreter: If set to ``True``, the kernel will be
evaluated using the FInAT interpreter instead of generating a
compiled kernel.
:result: The :class:`pyop2.Kernel`
"""
if Kernel is None:
raise ImportError("pyop2 was not imported. Is it installed?")
if set(kernel_args) != kernel.kernel_data.kernel_args:
raise ValueError("Incomplete value list")
if interpreter:
def kernel_function(*args):
context = {kernel_args: args[1:]}
args[0][:] = evaluate(kernel.recipe, context, kernel.kernel_data)
return (Kernel(kernel_function), kernel_args)
else:
raise NotImplementedError
|
mit
|
Python
|
12a85a17194610f81c9ff0c73ea69f4adfc2b307
|
remove old routine
|
fireeye/flare-floss,fireeye/flare-floss
|
floss/render/sanitize.py
|
floss/render/sanitize.py
|
import string
def sanitize_string_for_printing(s: str) -> str:
"""
Return sanitized string for printing to cli.
"""
sanitized_string = s.replace("\\\\", "\\") # print single backslashes
sanitized_string = "".join(c for c in sanitized_string if c in string.printable)
return sanitized_string
|
import string
def sanitize_string_for_printing(s: str) -> str:
"""
Return sanitized string for printing to cli.
"""
sanitized_string = s.replace("\\\\", "\\") # print single backslashes
sanitized_string = "".join(c for c in sanitized_string if c in string.printable)
return sanitized_string
def sanitize_string_for_script(s: str) -> str:
"""
Return sanitized string that is added to IDA script source.
"""
sanitized_string = sanitize_string_for_printing(s)
sanitized_string = sanitized_string.replace("\\", "\\\\")
sanitized_string = sanitized_string.replace('"', '\\"')
return sanitized_string
|
apache-2.0
|
Python
|
8379d56ac1be68c9c1d255893644813df8300ed8
|
add verbose name
|
manducku/awesomepose,manducku/awesomepose,manducku/awesomepose,manducku/awesomepose
|
awesomepose/categories/models/category.py
|
awesomepose/categories/models/category.py
|
from django.db import models
from mptt.models import MPTTModel, TreeForeignKey
class Category(MPTTModel):
name = models.CharField(max_length=50, unique=True)
parent = TreeForeignKey('self', null=True, blank=True, related_name="children", db_index=True)
class MPTTMeta:
order_insertion_by = ['name']
class Meta:
verbose_name = "카테고리"
verbose_name_plural = verbose_name
def __str__(self):
return self.name
|
from django.db import models
from mptt.models import MPTTModel, TreeForeignKey
class Category(models.Model):
name = models.CharField(max_length=50, unique=True)
parent = TreeForeignKey('self', null=True, blank=True, related_name="children", db_index=True)
class MPTTMeta:
order_insertion_by = ['name']
def __str__(self):
return self.name
|
mit
|
Python
|
bcd8d27194131e48d73d843bdae9930e6720130f
|
Update Vartype
|
oneklc/dimod,oneklc/dimod
|
dimod/vartypes.py
|
dimod/vartypes.py
|
"""
Enumeration of valid variable types for binary quadratic models.
Examples:
This example shows easy access to different Vartypes, which are in the main
namespace.
>>> vartype = dimod.SPIN
>>> print(vartype)
Vartype.SPIN
>>> vartype = dimod.BINARY
>>> print(vartype)
Vartype.BINARY
>>> vartype = dimod.Vartype.SPIN
>>> print(vartype)
Vartype.SPIN
>>> isinstance(vartype, dimod.Vartype)
True
This example shows access by value or name.
>>> print(dimod.Vartype({0, 1}))
Vartype.BINARY
>>> print(dimod.Vartype['SPIN'])
Vartype.SPIN
This example uses the `.value` parameter to validate.
>>> sample = {'u': -1, 'v': 1}
>>> vartype = dimod.Vartype.SPIN
>>> all(val in vartype.value for val in sample.values())
True
"""
import enum
__all__ = ['Vartype', 'SPIN', 'BINARY']
class Vartype(enum.Enum):
"""An :py:class:`~enum.Enum` over the types of variables for the binary quadratic model.
Attributes:
SPIN (:class:`.Vartype`): Vartype for spin-valued models; variables of
the model are either -1 or 1.
BINARY (:class:`.Vartype`): Vartype for binary models; variables of the
model are either 0 or 1.
"""
SPIN = frozenset({-1, 1})
BINARY = frozenset({0, 1})
SPIN = Vartype.SPIN
BINARY = Vartype.BINARY
|
"""
Vartype is an enumeration of the valid types for variables in a binary quadratic models.
Examples:
>>> vartype = dimod.Vartype.SPIN
>>> print(vartype)
Vartype.SPIN
>>> isinstance(vartype, dimod.Vartype)
True
Access can also be by value or name.
>>> print(dimod.Vartype({0, 1}))
Vartype.BINARY
>>> print(dimod.Vartype['SPIN'])
Vartype.SPIN
To check correctness, use the `.value` parameter.
>>> sample = {'u': -1, 'v': 1}
>>> vartype = dimod.Vartype.SPIN
>>> all(val in vartype.value for val in sample.values())
True
The different Vartypes are also in the main namespace
for easy access.
>>> vartype = dimod.SPIN
>>> print(vartype)
Vartype.SPIN
>>> vartype = dimod.BINARY
>>> print(vartype)
Vartype.BINARY
"""
import enum
__all__ = ['Vartype', 'SPIN', 'BINARY']
class Vartype(enum.Enum):
"""An :py:class:`~enum.Enum` over the types of variables for the binary quadratic model.
Attributes:
SPIN (:class:`.Vartype`): The vartype for spin-valued models. That
is the variables of the model are either -1 or 1.
BINARY (:class:`.Vartype`): The vartype for binary models. That is
the variables of the model are either 0 or 1.
"""
SPIN = frozenset({-1, 1})
BINARY = frozenset({0, 1})
SPIN = Vartype.SPIN
BINARY = Vartype.BINARY
|
apache-2.0
|
Python
|
0cb9b65fc0030922fea122a82451fef0d6d3653b
|
update version 1.0.0
|
bird-house/flyingpigeon
|
flyingpigeon/__init__.py
|
flyingpigeon/__init__.py
|
from .wsgi import application
from .demo import main
__version__ = "1.0.0"
|
from .wsgi import application
from .demo import main
__version__ = "0.11.0"
|
apache-2.0
|
Python
|
cfc6083c58d151934403ccf55444b122fec46604
|
Resolve here
|
takeyourmeds/takeyourmeds-web,takeyourmeds/takeyourmeds-web,takeyourmeds/takeyourmeds-web,takeyourmeds/takeyourmeds-web
|
takeyourmeds/utils/test.py
|
takeyourmeds/utils/test.py
|
from django.test import TestCase
from django.shortcuts import resolve_url
from django.contrib.auth import get_user_model
User = get_user_model()
class TestCase(TestCase):
def setUp(self):
self.user = self.create_user('testuser')
def assertStatusCode(self, status_code, fn, urlconf, *args, **kwargs):
if kwargs.pop('login', False):
user = kwargs.pop('user', self.user)
self.client.login(email=user.email, password='password')
response = fn(resolve_url(urlconf, *args, **kwargs))
self.assertEqual(
response.status_code,
status_code,
"Got HTTP %d but expected HTTP %d. Response:\n%s" % (
response.status_code,
status_code,
response,
)
)
return response
def assertGET(self, status_code, urlconf, *args, **kwargs):
return self.assertStatusCode(
status_code,
self.client.get,
urlconf,
*args,
**kwargs
)
def assertPOST(self, status_code, data, *args, **kwargs):
return self.assertStatusCode(
status_code, lambda x: self.client.post(x, data), *args, **kwargs
)
def assertRedirectsTo(self, response, urlconf, *args, **kwargs):
status_code = kwargs.pop('status_code', 302)
target_status_code = kwargs.pop('target_status_code', 200)
return self.assertRedirects(
response,
resolve_url(urlconf, *args, **kwargs),
status_code,
target_status_code,
)
def create_user(self, email):
return User.objects.create_user(email, 'password')
class SuperuserTestCase(TestCase):
def setUp(self):
super(SuperuserTestCase, self).setUp()
self.user.is_staff = True
self.user.is_superuser = True
self.user.save()
|
from django.test import TestCase
from django.shortcuts import resolve_url
from django.contrib.auth import get_user_model
from django.core.urlresolvers import reverse
User = get_user_model()
class TestCase(TestCase):
def setUp(self):
self.user = self.create_user('testuser')
def assertStatusCode(self, status_code, fn, urlconf, *args, **kwargs):
if kwargs.pop('login', False):
user = kwargs.pop('user', self.user)
self.client.login(email=user.email, password='password')
response = fn(resolve_url(urlconf, *args, **kwargs))
self.assertEqual(
response.status_code,
status_code,
"Got HTTP %d but expected HTTP %d. Response:\n%s" % (
response.status_code,
status_code,
response,
)
)
return response
def assertGET(self, status_code, urlconf, *args, **kwargs):
return self.assertStatusCode(
status_code,
self.client.get,
urlconf,
*args,
**kwargs
)
def assertPOST(self, status_code, data, *args, **kwargs):
return self.assertStatusCode(
status_code, lambda x: self.client.post(x, data), *args, **kwargs
)
def assertRedirectsTo(self, response, urlconf, *args, **kwargs):
status_code = kwargs.pop('status_code', 302)
target_status_code = kwargs.pop('target_status_code', 200)
return self.assertRedirects(
response,
reverse(urlconf, args=args, kwargs=kwargs),
status_code,
target_status_code,
)
def create_user(self, email):
return User.objects.create_user(email, 'password')
class SuperuserTestCase(TestCase):
def setUp(self):
super(SuperuserTestCase, self).setUp()
self.user.is_staff = True
self.user.is_superuser = True
self.user.save()
|
mit
|
Python
|
d9ca3d7113423a84026ad59e1369321baa54d532
|
Add a simple neutron_hanler
|
fs714/drcontroller
|
drcontroller/replication/controller/neutron_handler.py
|
drcontroller/replication/controller/neutron_handler.py
|
import logging
import base_handler
class NeutronHandler(base_handler.BaseHandler):
def __init__(self, set_conf, handle_type):
'''
set_conf: the configuration file path of keystone authorization
handle_type: the handle service type, eg, glance, nova, neutron
'''
self.logger = logging.getLogger("NeutronHandler")
self.logger.info('Init NeutronHandler')
super(NeutronHandler, self).__init__(set_conf, handle_type)
|
import logging
def post_handle(message):
pass
def delete_handle(message):
pass
def put_handle(mesage):
pass
class NeutronHandler(object):
def __init__(self):
self.logger = logging.getLogger("NeutronHandler")
self.logger.info('Init NeutronHandler')
def accept(self, *req, **kwargs):
self.logger = logging.getLogger("NeutronHandler:accept")
self.logger.info("--- Hello Neutron ---")
return ['Hello Neutron']
|
apache-2.0
|
Python
|
ca8622f5af66ef01c9c185065f2e77fca30bef79
|
Remove unused update method
|
kylef/irctk
|
irctk/nick.py
|
irctk/nick.py
|
import re
class Nick(object):
IRC_USERHOST_REGEX = re.compile(r'^(.*)!(.*)@(.*)$')
@classmethod
def parse(cls, client, userhost):
m = cls.IRC_USERHOST_REGEX.match(userhost)
if m:
return cls(client, m.group(1), m.group(2), m.group(3))
return cls(client, host=userhost)
def __init__(self, client, nick='', ident='', host=''):
self.client = client
self.nick = nick
self.ident = ident
self.host = host
def __str__(self):
return self.nick
def __repr__(self):
return '<Nick %s!%s@%s>' % (self.nick, self.ident, self.host)
def __eq__(self, other):
return self.client.irc_equal(str(other), self.nick)
@property
def channels(self):
"""
Returns all the Channels that both the nick and the client has joined.
"""
return [channel for channel in self.client.channels if channel.has_nick(self)]
|
import re
class Nick(object):
IRC_USERHOST_REGEX = re.compile(r'^(.*)!(.*)@(.*)$')
@classmethod
def parse(cls, client, userhost):
m = cls.IRC_USERHOST_REGEX.match(userhost)
if m:
return cls(client, m.group(1), m.group(2), m.group(3))
return cls(client, host=userhost)
def __init__(self, client, nick='', ident='', host=''):
self.client = client
self.nick = nick
self.ident = ident
self.host = host
def __str__(self):
return self.nick
def __repr__(self):
return '<Nick %s!%s@%s>' % (self.nick, self.ident, self.host)
def __eq__(self, other):
return self.client.irc_equal(str(other), self.nick)
@property
def channels(self):
"""
Returns all the Channels that both the nick and the client has joined.
"""
return [channel for channel in self.client.channels if channel.has_nick(self)]
def update(self):
if self == self.client.nick:
self.client.nick.ident = self.ident
self.client.nick.host = self.host
for channel in self.client.channels:
n = channel.find_nick(self)
if n:
n.ident = self.ident
n.host = self.host
|
bsd-3-clause
|
Python
|
52c17672d73a9461771c3ec09465d91992160fc5
|
Fix quota init migration
|
opennode/nodeconductor-saltstack
|
src/nodeconductor_saltstack/exchange/migrations/0004_init_quotas.py
|
src/nodeconductor_saltstack/exchange/migrations/0004_init_quotas.py
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from uuid import uuid4
from django.contrib.contenttypes.models import ContentType
from django.db import models, migrations
GLOBAL_MAILBOX_SIZE_QUOTA = 'global_mailbox_size'
USER_COUNT_QUOTA = 'user_count'
def convert_mailbox_size_to_mb(apps, schema_editor):
Tenant = apps.get_model('exchange', 'ExchangeTenant')
for tenant in Tenant.objects.all():
tenant.mailbox_size *= 1024
tenant.save()
def init_quotas(apps, schema_editor):
Quota = apps.get_model('quotas', 'Quota')
Tenant = apps.get_model('exchange', 'ExchangeTenant')
tenant_ct = ContentType.objects.get_for_model(Tenant)
for tenant in Tenant.objects.all():
if not Quota.objects.filter(content_type_id=tenant_ct.id, object_id=tenant.id, name=GLOBAL_MAILBOX_SIZE_QUOTA):
Quota.objects.create(
uuid=uuid4(), name=GLOBAL_MAILBOX_SIZE_QUOTA, limit=tenant.max_users*tenant.mailbox_size, usage=0,
content_type_id=tenant_ct.id, object_id=tenant.id)
if not Quota.objects.filter(content_type_id=tenant_ct.id, object_id=tenant.id, name=USER_COUNT_QUOTA):
Quota.objects.create(
uuid=uuid4(), name=USER_COUNT_QUOTA, limit=tenant.max_users, usage=0,
content_type_id=tenant_ct.id, object_id=tenant.id)
class Migration(migrations.Migration):
dependencies = [
('exchange', '0003_rename_tenant_model'),
]
operations = [
migrations.AlterField(
model_name='exchangetenant',
name='mailbox_size',
field=models.PositiveSmallIntegerField(help_text=b'Maximum size of single mailbox, MB'),
preserve_default=True,
),
migrations.RunPython(convert_mailbox_size_to_mb),
migrations.RunPython(init_quotas),
]
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from uuid import uuid4
from django.contrib.contenttypes.models import ContentType
from django.db import models, migrations
GLOBAL_MAILBOX_SIZE_QUOTA = 'global_mailbox_size'
USER_COUNT_QUOTA = 'user_count'
def convert_mailbox_size_to_mb(apps, schema_editor):
Tenant = apps.get_model('exchange', 'Tenant')
for tenant in Tenant.objects.all():
tenant.mailbox_size *= 1024
tenant.save()
def init_quotas(apps, schema_editor):
Quota = apps.get_model('quotas', 'Quota')
Tenant = apps.get_model('exchange', 'Tenant')
tenant_ct = ContentType.objects.get_for_model(Tenant)
for tenant in Tenant.objects.all():
if not Quota.objects.filter(content_type_id=tenant_ct.id, object_id=tenant.id, name=GLOBAL_MAILBOX_SIZE_QUOTA):
Quota.objects.create(
uuid=uuid4(), name=GLOBAL_MAILBOX_SIZE_QUOTA, limit=tenant.max_users*tenant.mailbox_size, usage=0,
content_type_id=tenant_ct.id, object_id=tenant.id)
if not Quota.objects.filter(content_type_id=tenant_ct.id, object_id=tenant.id, name=USER_COUNT_QUOTA):
Quota.objects.create(
uuid=uuid4(), name=USER_COUNT_QUOTA, limit=tenant.max_users, usage=0,
content_type_id=tenant_ct.id, object_id=tenant.id)
class Migration(migrations.Migration):
dependencies = [
('exchange', '0003_rename_tenant_model'),
]
operations = [
migrations.AlterField(
model_name='tenant',
name='mailbox_size',
field=models.PositiveSmallIntegerField(help_text=b'Maximum size of single mailbox, MB'),
preserve_default=True,
),
migrations.RunPython(convert_mailbox_size_to_mb),
migrations.RunPython(init_quotas),
]
|
mit
|
Python
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.