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8b817c7274b519507018823ba394a46943d4b748 | 9,779 | py | Python | tests/test_flask_echelon.py | jesseops/Flask-Echelon | 226c69700ee5e4ee1e028df8277579c50dc2f660 | [
"MIT"
] | 1 | 2019-03-11T12:15:13.000Z | 2019-03-11T12:15:13.000Z | tests/test_flask_echelon.py | jesseops/Flask-Echelon | 226c69700ee5e4ee1e028df8277579c50dc2f660 | [
"MIT"
] | null | null | null | tests/test_flask_echelon.py | jesseops/Flask-Echelon | 226c69700ee5e4ee1e028df8277579c50dc2f660 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_flask_echelon
----------------------------------
Tests for `flask_echelon` module.
"""
import pytest
from flask import Flask
from pymongo import MongoClient
from flask_echelon import EchelonManager
# only use one MongoClient instance
DB = MongoClient().test_fl... | 28.344928 | 82 | 0.705082 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_flask_echelon
----------------------------------
Tests for `flask_echelon` module.
"""
import pytest
from flask import Flask, _request_ctx_stack
from flask_login import AnonymousUserMixin, LoginManager, UserMixin
from pymongo import MongoClient
from flask_echel... | 0 | 323 | 0 | 261 | 0 | 7,211 | 0 | 138 | 619 |
8a99531e45a460c85d6598077472678b16cb2b71 | 7,248 | py | Python | openstack/workflow/v2/_proxy.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | openstack/workflow/v2/_proxy.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | openstack/workflow/v2/_proxy.py | teresa-ho/stx-openstacksdk | 7d723da3ffe9861e6e9abcaeadc1991689f782c5 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 42.887574 | 79 | 0.639625 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 0 | 0 | 0 | 6,535 | 0 | 0 | 0 | 77 | 90 |
df7135f508cbe25a7ee1418716eaf3d763a7904f | 1,002 | py | Python | parse_fastqc.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | parse_fastqc.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | parse_fastqc.py | wckdouglas/ngs_qc_plot | b279905f9e30d1cf547cda5f51cc77e8a134ce99 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
if len(sys.argv) < 2:
sys.exit('[usage] python %s <fastqc_path1> [fastqc_path2] [fastqc_path3] ... ')
if __name__ == '__main__':
main()
| 23.302326 | 83 | 0.58982 | #!/usr/bin/env python
import sys
if len(sys.argv) < 2:
sys.exit('[usage] python %s <fastqc_path1> [fastqc_path2] [fastqc_path3] ... ')
from bs4 import BeautifulSoup
import pandas as pd
import os
import glob
def read_fastqc(html_file):
samplename = os.path.basename(html_file)
with open(html_file) as f:
... | 0 | 0 | 0 | 0 | 0 | 701 | 0 | -16 | 135 |
76ee452dcd9760b0419f66b47d73c8a8f7318e1a | 22,684 | py | Python | Pyscripts/BookChapter/TrendData/S01_Global_Climate_trends.py | ArdenB/fireflies | cff2d6292c30fc49f0d1564b135c5c4abd75fdc8 | [
"MIT"
] | null | null | null | Pyscripts/BookChapter/TrendData/S01_Global_Climate_trends.py | ArdenB/fireflies | cff2d6292c30fc49f0d1564b135c5c4abd75fdc8 | [
"MIT"
] | null | null | null | Pyscripts/BookChapter/TrendData/S01_Global_Climate_trends.py | ArdenB/fireflies | cff2d6292c30fc49f0d1564b135c5c4abd75fdc8 | [
"MIT"
] | null | null | null | """
Prelim script for looking at netcdf files and producing some trends
These estimates can also be used for P03 climate estimation
"""
#==============================================================================
__title__ = "Global Climate Trends"
__author__ = "Arden Burrell"
__version__ = "v1.0(13.02.2019)"
__e... | 30.946794 | 107 | 0.615015 | """
Prelim script for looking at netcdf files and producing some trends
These estimates can also be used for P03 climate estimation
"""
#==============================================================================
__title__ = "Global Climate Trends"
__author__ = "Arden Burrell"
__version__ = "v1.0(13.02.2019)"
__e... | 0 | 0 | 0 | 0 | 0 | 6,545 | 0 | 88 | 287 |
fa5c418ceccff6392529b3cf74acacf58d6ef4d9 | 248 | py | Python | 20200914/05.str.py | ObukhovVladislav/python-basics | 268af015fdd3392fd77783b38ef74be2ca6db7da | [
"Apache-2.0"
] | null | null | null | 20200914/05.str.py | ObukhovVladislav/python-basics | 268af015fdd3392fd77783b38ef74be2ca6db7da | [
"Apache-2.0"
] | null | null | null | 20200914/05.str.py | ObukhovVladislav/python-basics | 268af015fdd3392fd77783b38ef74be2ca6db7da | [
"Apache-2.0"
] | null | null | null | say = ' !'
print(say)
#print(dir(say))
print(say.islower())
print(say.isupper())
say_2 = say.upper()
print(say_2)
# say_3 = say_2.capitalize()
say_3 = say.capitalize()
print(say_3)
if say.endswith('!')
print(' ') | 16.533333 | 33 | 0.685484 | say = 'всем привет!'
print(say)
#print(dir(say))
print(say.islower())
print(say.isupper())
say_2 = say.upper()
print(say_2)
# say_3 = say_2.capitalize()
say_3 = say.capitalize()
print(say_3)
if say.endswith('!')
print('Эмоционально сказано') | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2fb77a7f393484defe237090107124ac52bd338c | 15,292 | py | Python | test_baa/baa/lib/python3.7/site-packages/accelerometer/accUtils.py | samanthahuff/biobankAccelerometerAnalysis | c107d09e91c54dd5fa62ed950f3041353a2cc3a7 | [
"BSD-2-Clause"
] | null | null | null | test_baa/baa/lib/python3.7/site-packages/accelerometer/accUtils.py | samanthahuff/biobankAccelerometerAnalysis | c107d09e91c54dd5fa62ed950f3041353a2cc3a7 | [
"BSD-2-Clause"
] | null | null | null | test_baa/baa/lib/python3.7/site-packages/accelerometer/accUtils.py | samanthahuff/biobankAccelerometerAnalysis | c107d09e91c54dd5fa62ed950f3041353a2cc3a7 | [
"BSD-2-Clause"
] | null | null | null | """Module to provide generic utilities for other accelerometer modules."""
from collections import OrderedDict
import datetime
import json
import math
import os
import pandas as pd
import re
DAYS = ['mon', 'tue', 'wed', 'thur', 'fri', 'sat', 'sun']
TIME_SERIES_COL = 'time'
def formatNum(num, decimalPlaces):
"""... | 38.134663 | 112 | 0.638373 | """Module to provide generic utilities for other accelerometer modules."""
from collections import OrderedDict
import datetime
import json
import math
import os
import pandas as pd
import re
DAYS = ['mon', 'tue', 'wed', 'thur', 'fri', 'sat', 'sun']
TIME_SERIES_COL = 'time'
def formatNum(num, decimalPlaces):
"""... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2fd8abf7e18930723cd6055abec7ee1768640412 | 4,394 | py | Python | devilry/utils/datetimeutils.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 29 | 2015-01-18T22:56:23.000Z | 2020-11-10T21:28:27.000Z | devilry/utils/datetimeutils.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 786 | 2015-01-06T16:10:18.000Z | 2022-03-16T11:10:50.000Z | devilry/utils/datetimeutils.py | devilry/devilry-django | 9ae28e462dfa4cfee966ebacbca04ade9627e715 | [
"BSD-3-Clause"
] | 15 | 2015-04-06T06:18:43.000Z | 2021-02-24T12:28:30.000Z | import datetime
import arrow
from django.utils import timezone
#: Django datetime formatting string for ``YYYY-MM-DD hh:mm``.
ISODATETIME_DJANGOFORMAT = 'Y-m-d H:i'
ARROW_ISOFORMAT_NOSECONDS = 'YYYY-MM-DD HH:mm'
ARROW_ISOFORMAT_WITHSECONDS = 'YYYY-MM-DD HH:mm:ss'
def get_current_datetime():
"""
Get the cu... | 34.062016 | 106 | 0.703004 | import datetime
import arrow
from django.conf import settings
from django.utils import timezone
#: Django datetime formatting string for ``YYYY-MM-DD hh:mm``.
ISODATETIME_DJANGOFORMAT = 'Y-m-d H:i'
ARROW_ISOFORMAT_NOSECONDS = 'YYYY-MM-DD HH:mm'
ARROW_ISOFORMAT_WITHSECONDS = 'YYYY-MM-DD HH:mm:ss'
def get_current_d... | 0 | 0 | 0 | 0 | 0 | 716 | 0 | 11 | 91 |
4482efc260049cfcc623cd989253e5a07fb5067b | 6,559 | py | Python | packages/arb-compiler-evm/arbitrum/evm/log.py | pangxieshousi/arbitrum | 5a5d2c26970cb0495cd6772a7a895b6a0a90c413 | [
"Apache-2.0"
] | 1 | 2019-09-07T00:12:06.000Z | 2019-09-07T00:12:06.000Z | packages/arb-compiler-evm/arbitrum/evm/log.py | pangxieshousi/arbitrum | 5a5d2c26970cb0495cd6772a7a895b6a0a90c413 | [
"Apache-2.0"
] | null | null | null | packages/arb-compiler-evm/arbitrum/evm/log.py | pangxieshousi/arbitrum | 5a5d2c26970cb0495cd6772a7a895b6a0a90c413 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, Offchain Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 29.678733 | 84 | 0.603446 | # Copyright 2019, Offchain Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 0 | 0 | 0 | 5,326 | 0 | 64 | 0 | 7 | 298 |
5297f23d99e418f59dd464c51b941e52effe2d91 | 10,566 | py | Python | tests/test_agreement_cfaua.py | ProzorroUKR/openprocurement-docs | 267be10af4ee07917832abe6a1ac2f45c06f51fc | [
"Apache-2.0"
] | 2 | 2019-12-10T12:35:11.000Z | 2020-05-19T04:21:42.000Z | tests/test_agreement_cfaua.py | ProzorroUKR/openprocurement-docs | 267be10af4ee07917832abe6a1ac2f45c06f51fc | [
"Apache-2.0"
] | 2 | 2019-10-24T19:56:27.000Z | 2020-02-13T23:28:07.000Z | tests/test_agreement_cfaua.py | ProzorroUKR/openprocurement-docs | 267be10af4ee07917832abe6a1ac2f45c06f51fc | [
"Apache-2.0"
] | 5 | 2018-09-20T05:31:58.000Z | 2020-12-04T15:24:36.000Z | # -*- coding: utf-8 -*-
TARGET_DIR = 'docs/source/agreementcfaua/tutorial/'
| 46.342105 | 112 | 0.601552 | # -*- coding: utf-8 -*-
import os
from copy import deepcopy
from uuid import uuid4
from openprocurement.api.utils import get_now
from openprocurement.tender.cfaua.tests.base import (
BaseTenderWebTest, test_tender_data, test_lots
)
from tests.base.test import DumpsWebTestApp, MockWebTestMixin
from tests.base.cons... | 122 | 0 | 0 | 10,086 | 0 | 0 | 0 | 162 | 179 |
68fa5e261a5c1295ddb2c3e386f36085b1880802 | 4,616 | py | Python | gopatch/packages/views.py | porala/python | 41213189a9b35b5b8c40c048f4d6cd3f8e5f25f4 | [
"DOC"
] | 1 | 2020-01-15T11:04:16.000Z | 2020-01-15T11:04:16.000Z | gopatch/packages/views.py | porala/python | 41213189a9b35b5b8c40c048f4d6cd3f8e5f25f4 | [
"DOC"
] | 2 | 2021-03-31T19:36:19.000Z | 2021-06-10T22:29:26.000Z | gopatch/packages/views.py | porala/python | 41213189a9b35b5b8c40c048f4d6cd3f8e5f25f4 | [
"DOC"
] | null | null | null | # Copyright 2012 VPAC, http://www.vpac.org
# Copyright 2013-2016 Marcus Furlong <furlongm@gmail.com>
#
# This file is part of Patchman.
#
# Patchman is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 on... | 32.737589 | 79 | 0.707972 | # Copyright 2012 VPAC, http://www.vpac.org
# Copyright 2013-2016 Marcus Furlong <furlongm@gmail.com>
#
# This file is part of Patchman.
#
# Patchman is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 on... | 0 | 1,789 | 0 | 1,303 | 0 | 0 | 0 | 414 | 362 |
5f83cfc90714f7265b94d96e27b64bd88129f579 | 272 | py | Python | Core Python Programming/Chapter05/0508.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | Core Python Programming/Chapter05/0508.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | Core Python Programming/Chapter05/0508.py | zhaokai0402/PyQt5-Study | e6280fdc615e47c947c0902836350db49441e6de | [
"MIT"
] | null | null | null | import math
# -*- coding:utf-8 -*-
if __name__ == '__main__':
length = float(input("length: "))
print("squares:", length ** 2)
print("cubes:", length ** 3)
print("circles:", math.pi * length ** 2)
print("squares:", 4.0 / 3.0 * length ** 3 * math.pi)
| 24.727273 | 56 | 0.551471 | import math
# -*- coding:utf-8 -*-
if __name__ == '__main__':
length = float(input("length: "))
print("squares:", length ** 2)
print("cubes:", length ** 3)
print("circles:", math.pi * length ** 2)
print("squares:", 4.0 / 3.0 * length ** 3 * math.pi)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
328e318b33b14c079822fb39df28ceee33bb0ba9 | 2,226 | py | Python | tests/rest/test_place_evidence.py | UniStuttgart-VISUS/damast | 05ceb150e86227d81f0f4bb441af6d4f8bce65ee | [
"MIT"
] | 2 | 2021-12-22T17:01:02.000Z | 2022-01-18T17:05:48.000Z | tests/rest/test_place_evidence.py | UniStuttgart-VISUS/damast | 05ceb150e86227d81f0f4bb441af6d4f8bce65ee | [
"MIT"
] | 94 | 2021-12-22T11:21:57.000Z | 2022-03-31T22:40:56.000Z | tests/rest/test_place_evidence.py | UniStuttgart-VISUS/damast | 05ceb150e86227d81f0f4bb441af6d4f8bce65ee | [
"MIT"
] | 1 | 2022-01-04T09:04:47.000Z | 2022-01-04T09:04:47.000Z | from database.testdata import place_table
_places = [ (p.id, True) for p in place_table ]
_places += [ (i, False) for i in (0, 224, 6214, 36) ]
_nouser_routes = [
'/rest/place/{}/evidence',
'/rest/place/{}/evidence-ids',
]
_nouser_methods = [ 'GET' ]
| 31.352113 | 69 | 0.566936 | import pytest
import damast
import flask
import json
from database.testdata import place_table
from conftest import get_headers
_places = [ (p.id, True) for p in place_table ]
_places += [ (i, False) for i in (0, 224, 6214, 36) ]
@pytest.fixture(params=_places)
def place(request):
return request.param
@pytest.m... | 0 | 1,793 | 0 | 0 | 0 | 0 | 0 | -24 | 179 |
8ae7f59ec247f629e8eecf25d8124175ecdf8739 | 527 | py | Python | nwcc_pyramid/models/mymodel.py | ChristopherSClosser/nwcc-pyramid | 952d96dae56a07d4038dfcc818020c1b5e301ce1 | [
"Apache-2.0"
] | 1 | 2018-07-31T20:48:24.000Z | 2018-07-31T20:48:24.000Z | nwcc_pyramid/models/mymodel.py | ChristopherSClosser/nwcc-pyramid | 952d96dae56a07d4038dfcc818020c1b5e301ce1 | [
"Apache-2.0"
] | 45 | 2018-06-22T22:46:06.000Z | 2019-12-31T16:59:27.000Z | nwcc_pyramid/models/mymodel.py | ChristopherSClosser/nwcc_pyramid | 952d96dae56a07d4038dfcc818020c1b5e301ce1 | [
"Apache-2.0"
] | null | null | null | """NWCC info model."""
# Index('my_index', MyModel.name, unique=True, mysql_length=255)
| 18.172414 | 64 | 0.626186 | """NWCC info model."""
from sqlalchemy import (
Column,
Integer,
Text,
Date
)
from .meta import Base
class MyModel(Base):
"""."""
__tablename__ = 'models'
id = Column(Integer, primary_key=True)
page = Column(Text)
category = Column(Text)
subcategory = Column(Text)
title =... | 0 | 0 | 0 | 318 | 0 | 0 | 0 | 50 | 68 |
b7f94a1b6b97b4f10dab08bfa241038e30047a8f | 1,325 | py | Python | graphingResults/grapher.py | CoolaCansat/primary2022 | 9f11f87390c2afaf5f20c3f0328bbdb3f5bff6c3 | [
"MIT"
] | null | null | null | graphingResults/grapher.py | CoolaCansat/primary2022 | 9f11f87390c2afaf5f20c3f0328bbdb3f5bff6c3 | [
"MIT"
] | null | null | null | graphingResults/grapher.py | CoolaCansat/primary2022 | 9f11f87390c2afaf5f20c3f0328bbdb3f5bff6c3 | [
"MIT"
] | null | null | null | #import you graphing library
import matplotlib.pyplot as plt
#open you log file (saved as .txt)
log = open("canlog.txt", "r")
#read the contents of you log file
log = log.read()
#removes everything before the first T in tempurate (removes T aswell)
log = log.split("T", 2)
log[1].replace("-----------------------... | 28.804348 | 71 | 0.581132 | #import you graphing library
import matplotlib.pyplot as plt
#open you log file (saved as .txt)
log = open("canlog.txt", "r")
#read the contents of you log file
log = log.read()
#removes everything before the first T in tempurate (removes T aswell)
log = log.split("T", 2)
log[1].replace("-----------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc5eb2b80f86a9521d26ee3f67d7a4f539ca0e64 | 45 | py | Python | file_catalog/schema/__init__.py | WIPACrepo/file_catalog | 01c0947d32d621d28516ecce3604a0124c673925 | [
"MIT"
] | null | null | null | file_catalog/schema/__init__.py | WIPACrepo/file_catalog | 01c0947d32d621d28516ecce3604a0124c673925 | [
"MIT"
] | 61 | 2017-02-23T17:58:43.000Z | 2022-03-24T22:13:24.000Z | file_catalog/schema/__init__.py | WIPACrepo/file_catalog | 01c0947d32d621d28516ecce3604a0124c673925 | [
"MIT"
] | 2 | 2017-12-20T18:30:35.000Z | 2018-01-08T15:15:03.000Z | """Init."""
| 11.25 | 31 | 0.644444 | """Init."""
from . import types, validation
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 23 |
8f1af127eee9945408bec2f0d74ce707a7e334c5 | 3,326 | py | Python | src/duplicate_key_check/duplicate_main.py | GreyElaina/TransQualityControl | 12395cd7e932acefb12099b46827762770b97485 | [
"MIT"
] | null | null | null | src/duplicate_key_check/duplicate_main.py | GreyElaina/TransQualityControl | 12395cd7e932acefb12099b46827762770b97485 | [
"MIT"
] | null | null | null | src/duplicate_key_check/duplicate_main.py | GreyElaina/TransQualityControl | 12395cd7e932acefb12099b46827762770b97485 | [
"MIT"
] | null | null | null | #
#
from collections import Counter
import json
# dict
if __name__ == '__main__':
key_total = [] # key
en_dict_total = {} #
zh_dict_total = {} #
key_duplicate = [] # key
dict_total = {} #
for modid in file_finder('../project/assets'):
en_dict = lang_to_dict('../proje... | 31.67619 | 97 | 0.592303 | # 这次不折腾啥面向对象了
# 简单好用直接上函数式
import os
from collections import Counter
import json
# 获取语言文件，处理得到一个 dict
def lang_to_dict(file_path):
lang_dict = {}
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
for line in f.readlines():
if line is not None and line[0] != '#' and line[0]... | 414 | 0 | 0 | 0 | 0 | 1,807 | 0 | -12 | 90 |
b0a8d02d42746073dc0b4e3db3324005d19c629c | 1,299 | py | Python | PythonTricks/ch02_05.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2020-10-12T13:33:29.000Z | 2020-10-12T13:33:29.000Z | PythonTricks/ch02_05.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | null | null | null | PythonTricks/ch02_05.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2016-11-09T07:28:45.000Z | 2016-11-09T07:28:45.000Z | #!/usr/bin/env python
errno = 50159747054
name = 'Bob'
print('Hello, %s there is a 0x%x error' % (name, errno))
str_ = 'Hello, %(name)s there is a 0x%(errno)x error' % {'name': name, 'errno': errno}
print('Dictionary in old style')
print(str_)
print('New style')
str_ = 'Hey {name}, there is a 0x{errno:x} error'.form... | 22.789474 | 86 | 0.675135 | #!/usr/bin/env python
errno = 50159747054
name = 'Bob'
print('Hello, %s there is a 0x%x error' % (name, errno))
str_ = 'Hello, %(name)s there is a 0x%(errno)x error' % {'name': name, 'errno': errno}
print('Dictionary in old style')
print(str_)
print('New style')
str_ = 'Hey {name}, there is a 0x{errno:x} error'.form... | 0 | 0 | 0 | 55 | 0 | 56 | 0 | 0 | 45 |
4fbdd5c5f08245df3d8a02e02c4e4bff4288a8f2 | 7,642 | py | Python | ka_sushi_chef.py | learningequality/sushi-chef-khan-academy-legacy | 18895b3306b04b4c9ef702537886c362f13a15f8 | [
"BSD-2-Clause"
] | 1 | 2017-03-06T20:01:16.000Z | 2017-03-06T20:01:16.000Z | ka_sushi_chef.py | learningequality/sushi-chef-khan-academy-legacy | 18895b3306b04b4c9ef702537886c362f13a15f8 | [
"BSD-2-Clause"
] | 2 | 2017-07-11T14:37:12.000Z | 2017-08-31T00:31:16.000Z | ka_sushi_chef.py | learningequality/sushi-chef-khan-academy-legacy | 18895b3306b04b4c9ef702537886c362f13a15f8 | [
"BSD-2-Clause"
] | 2 | 2017-05-23T18:37:01.000Z | 2017-07-11T14:00:04.000Z | #!/usr/bin/env python3
import re
import os
FILE_URL_REGEX = re.compile('[\\\]*/content[\\\]*/assessment[\\\]*/khan[\\\]*/(?P<build_path>\w+)[\\\]*/(?P<filename>\w+)\.?(?P<ext>\w+)?', flags=re.IGNORECASE)
REPLACE_STRING = "/content/assessment/khan"
cwd = os.getcwd()
IMAGE_DL_LOCATION = 'file://' + cwd + '/build'
# re... | 37.831683 | 160 | 0.630463 | #!/usr/bin/env python3
from le_utils.constants.languages import getlang
from html2text import html2text
from le_utils.constants import licenses
from ricecooker.chefs import SushiChef
from ricecooker.classes.nodes import (ChannelNode, ExerciseNode, VideoNode, TopicNode)
from ricecooker.classes.questions import PerseusQu... | 0 | 0 | 0 | 794 | 0 | 5,693 | 0 | 190 | 355 |
9662ebee899c985c2117e02e170dc3bc7a4e45d3 | 6,528 | py | Python | train_shape.py | hyunynim/im2avatar | db7f01b79f7edf200815351b6d5821044605c0fd | [
"MIT"
] | null | null | null | train_shape.py | hyunynim/im2avatar | db7f01b79f7edf200815351b6d5821044605c0fd | [
"MIT"
] | null | null | null | train_shape.py | hyunynim/im2avatar | db7f01b79f7edf200815351b6d5821044605c0fd | [
"MIT"
] | null | null | null | import tensorflow as tf
import os
import sys
sys.path.append('./utils')
sys.path.append('./models')
import dataset as dataset
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('train_dir', './train_shape',
"""Directory where to write summaries and checkpoint.""")
tf.app.flags.DEFINE_str... | 35.286486 | 115 | 0.641544 | import tensorflow as tf
import numpy as np
import os
import sys
sys.path.append('./utils')
sys.path.append('./models')
import dataset as dataset
import model_shape as model
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('train_dir', './train_shape',
"""Directory where to write summar... | 0 | 0 | 0 | 0 | 0 | 4,498 | 0 | 3 | 161 |
1d95f5acc35411469a522acb65a89b4ab28ba474 | 196 | py | Python | Phase-2/File I/O/Day-81.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 11 | 2020-05-11T08:41:21.000Z | 2022-02-27T08:21:37.000Z | Phase-2/File I/O/Day-81.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 9 | 2020-05-12T10:46:06.000Z | 2020-05-28T17:37:19.000Z | Phase-2/File I/O/Day-81.py | CodedLadiesInnovateTech/python-challenges | 22ce26c68fea6c7c243ada831e47c52e27a62127 | [
"MIT"
] | 44 | 2020-05-10T20:53:32.000Z | 2021-04-25T18:47:08.000Z | '''
1. Write a Python program to count the frequency of words in a file.
2. Write a Python program to get the file size of a plain file.
3. Write a Python program to write a list to a file.
'''
| 24.5 | 68 | 0.714286 | '''
1. Write a Python program to count the frequency of words in a file.
2. Write a Python program to get the file size of a plain file.
3. Write a Python program to write a list to a file.
'''
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71a89d1996d2aa8ee13172800d5e89440805c0fe | 497 | py | Python | cooltools/lib/schemas.py | gfudenberg/cooltools | 2c5efcfa2810414f5e1cfeba8806b23d626abaa2 | [
"MIT"
] | 39 | 2017-10-15T02:59:32.000Z | 2020-09-15T21:53:56.000Z | cooltools/lib/schemas.py | gfudenberg/cooltools | 2c5efcfa2810414f5e1cfeba8806b23d626abaa2 | [
"MIT"
] | 131 | 2017-09-05T15:56:24.000Z | 2020-09-22T13:23:54.000Z | cooltools/lib/schemas.py | gfudenberg/cooltools | 2c5efcfa2810414f5e1cfeba8806b23d626abaa2 | [
"MIT"
] | 29 | 2017-04-29T23:06:28.000Z | 2020-08-28T19:14:23.000Z | # schemas of datastructures commonly used in cooltools
# including description DataFrame dtypes/columns definitions
diag_expected_dtypes = {
"region1": "string",
"region2": "string",
"dist": "Int64",
"n_valid": "Int64",
}
block_expected_dtypes = {
"region1": "string",
"region2": "string",
"... | 26.157895 | 60 | 0.696177 | # schemas of datastructures commonly used in cooltools
# including description DataFrame dtypes/columns definitions
diag_expected_dtypes = {
"region1": "string",
"region2": "string",
"dist": "Int64",
"n_valid": "Int64",
}
block_expected_dtypes = {
"region1": "string",
"region2": "string",
"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b1f944c259348909d9715384fcdb670f50fd714 | 4,087 | py | Python | cfod/routines/waterfaller.py | chime-frb-open-data/chime-frb-data | 3695e4d151bbf3816c78edacba05bf78e4df9b66 | [
"MIT"
] | null | null | null | cfod/routines/waterfaller.py | chime-frb-open-data/chime-frb-data | 3695e4d151bbf3816c78edacba05bf78e4df9b66 | [
"MIT"
] | null | null | null | cfod/routines/waterfaller.py | chime-frb-open-data/chime-frb-data | 3695e4d151bbf3816c78edacba05bf78e4df9b66 | [
"MIT"
] | null | null | null | import logging
logging.basicConfig(format="%(levelname)s:%(message)s")
log = logging.getLogger(__name__)
| 30.5 | 88 | 0.57059 | import logging
from typing import Optional
import numpy as np
from cfod.analysis import waterfall
logging.basicConfig(format="%(levelname)s:%(message)s")
log = logging.getLogger(__name__)
class Waterfaller:
def __init__(self, filename: str) -> None:
"""
Initialize the Waterfaller.
Para... | 0 | 584 | 0 | 3,288 | 0 | 0 | 0 | 17 | 91 |
f2a4fc57cbb0e9ef5c1f8c0631673d77e74ff400 | 1,223 | py | Python | examples/random_env_test.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 10 | 2018-03-18T21:27:59.000Z | 2020-08-13T20:15:05.000Z | examples/random_env_test.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 1 | 2018-03-19T09:51:04.000Z | 2018-03-19T10:11:02.000Z | examples/random_env_test.py | JimmyMVP/plain_rl | 4780f05fffb62533a339197b49de487cdc9d9954 | [
"MIT"
] | 3 | 2018-03-10T09:17:10.000Z | 2019-12-17T20:19:56.000Z | from torch_rl.envs import GoalEnv, GoalEnvLogger, EnvLogger
import gym
from torch_rl import config
from torch_rl.utils import logger
from tqdm import tqdm
import numpy as np
addarg('--env', type=bool, default='OsimArm2D-v1')
p = parser.parse_args()
env_name = p.env
if 'Osim' in env_name:
env = make_osim(env_na... | 25.479167 | 205 | 0.753884 | from torch_rl.envs import GoalEnv, GoalEnvLogger, EnvLogger, RunningMeanStdNormalize
import gym
import roboschool
import torch_rl.envs
from torch_rl import config
from torch_rl.utils import logger
from tqdm import tqdm
import numpy as np
import argparse
from torch_rl.utils import *
addarg('--env', type=bool, default... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 88 |
7c61763138bf1c61698b6baa9426e28900cd8be4 | 39,117 | py | Python | openid/test/test_message.py | ticosax/python3-openid | 9ffbcaade433f143ea1dfbf16fed78af8bdffdc0 | [
"Apache-2.0"
] | null | null | null | openid/test/test_message.py | ticosax/python3-openid | 9ffbcaade433f143ea1dfbf16fed78af8bdffdc0 | [
"Apache-2.0"
] | null | null | null | openid/test/test_message.py | ticosax/python3-openid | 9ffbcaade433f143ea1dfbf16fed78af8bdffdc0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import urllib.request
import urllib.parse
import unittest
if __name__ == '__main__':
unittest.main()
| 36.421788 | 163 | 0.59455 | # -*- coding: utf-8 -*-
from openid import message
from openid import oidutil
from openid.extensions import sreg
import urllib.request
import urllib.parse
import urllib.error
import unittest
def mkGetArgTest(ns, key, expected=None):
def test(self):
a_default = object()
self.assertEqual(self.msg.g... | 48 | 0 | 0 | 38,102 | 0 | 582 | 0 | 21 | 249 |
e4768bda96c6a203979b2dbd61a8aa55e656e4b8 | 411 | py | Python | api/migrations/0040_auto_20181104_1927.py | minneapolis-edu/web-autograder | 96e8e976166576a396ac7b6f6fb978d62c20d665 | [
"Unlicense"
] | 1 | 2019-02-27T00:38:08.000Z | 2019-02-27T00:38:08.000Z | api/migrations/0040_auto_20181104_1927.py | minneapolis-edu/web-autograder | 96e8e976166576a396ac7b6f6fb978d62c20d665 | [
"Unlicense"
] | 5 | 2020-02-11T23:32:47.000Z | 2022-03-02T02:54:52.000Z | api/migrations/0040_auto_20181104_1927.py | minneapolis-edu/web-autograder | 96e8e976166576a396ac7b6f6fb978d62c20d665 | [
"Unlicense"
] | null | null | null | # Generated by Django 2.1.1 on 2018-11-05 01:27
| 21.631579 | 81 | 0.608273 | # Generated by Django 2.1.1 on 2018-11-05 01:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0039_auto_20181104_1029'),
]
operations = [
migrations.AlterField(
model_name='grade',
name='score',
... | 0 | 0 | 0 | 297 | 0 | 0 | 0 | 19 | 46 |
d9d00bbb6bd9cf62001dd764d1228de753ffd5a8 | 3,063 | py | Python | samples/samplenetconf/cmds/show_lbifcfg.py | gaberger/pybvc | bf546c4595a1a6282fca084865c5a0e69194030f | [
"BSD-3-Clause"
] | null | null | null | samples/samplenetconf/cmds/show_lbifcfg.py | gaberger/pybvc | bf546c4595a1a6282fca084865c5a0e69194030f | [
"BSD-3-Clause"
] | 1 | 2021-03-26T00:46:31.000Z | 2021-03-26T00:46:31.000Z | samples/samplenetconf/cmds/show_lbifcfg.py | gaberger/pybvc | bf546c4595a1a6282fca084865c5a0e69194030f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
"""
Copyright (c) 2015, BROCADE COMMUNICATIONS SYSTEMS, INC
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,... | 34.41573 | 87 | 0.719882 | #!/usr/bin/python
"""
Copyright (c) 2015, BROCADE COMMUNICATIONS SYSTEMS, INC
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1d79c73bfb4bc5e943dd3bb78e1376edc851f272 | 709 | py | Python | exemplo_39_sistema_operacional.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | null | null | null | exemplo_39_sistema_operacional.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | null | null | null | exemplo_39_sistema_operacional.py | alef123vinicius/Estudo_python | 30b121d611f94eb5df9fbb41ef7279546143221b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 16 11:11:39 2021
@author: alef
"""
import os
import sys
import platform
def uid():
"""
uid() -> retorna a identificao do usurio
corrente ou None se no for possvel identificar
"""
# Variveis de ambiente para cada
# Sist... | 22.15625 | 57 | 0.640339 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 16 11:11:39 2021
@author: alef
"""
import os
import sys
import platform
def uid():
"""
uid() -> retorna a identificação do usuário
corrente ou None se não for possível identificar
"""
# Variáveis de ambiente para cada
... | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86e7f2a00b6864bbd8663f7ec9dc121293495f86 | 847 | py | Python | monolith/main.py | michaelsusanto81/tweetream | bd8baa8b858dacade0f0160693b0d43580fe2100 | [
"MIT"
] | null | null | null | monolith/main.py | michaelsusanto81/tweetream | bd8baa8b858dacade0f0160693b0d43580fe2100 | [
"MIT"
] | null | null | null | monolith/main.py | michaelsusanto81/tweetream | bd8baa8b858dacade0f0160693b0d43580fe2100 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_socketio import SocketIO
from streamer import Stream, auth, preprocessor, clf_path
app = Flask(__name__)
socketio = SocketIO(app)
if __name__ == '__main__':
# Create stream object with given credentials
global stream
stream = Stream(auth, preprocessor, clf_path, socketio... | 25.666667 | 59 | 0.695396 | from flask import Flask, render_template, request
from flask_socketio import SocketIO, emit, disconnect
from streamer import Stream, auth, preprocessor, clf_path
app = Flask(__name__)
socketio = SocketIO(app)
@app.route('/', methods=['GET'])
def index():
return render_template('index.html')
@socketio.on('connect... | 0 | 249 | 0 | 0 | 0 | 0 | 0 | 44 | 69 |
a4d2b8d17c9b33a3ea06f84d2c584156b9296537 | 84 | py | Python | CodeUp/6043.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | CodeUp/6043.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | CodeUp/6043.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | # 2
a, b = map(float, input().split())
print(format(a/b, ".3f")) | 28 | 34 | 0.607143 | # 실수 2개 입력받아 나눈 결과 계산하기
a, b = map(float, input().split())
print(format(a/b, ".3f")) | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f55113437a30659fd6d03e228d6ae98f6706f32d | 480 | py | Python | 10 Days of Statistics/Spearman's Rank Correlation Coefficient.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | 2 | 2018-08-29T13:51:11.000Z | 2018-08-31T17:06:38.000Z | 10 Days of Statistics/Spearman's Rank Correlation Coefficient.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | null | null | null | 10 Days of Statistics/Spearman's Rank Correlation Coefficient.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | null | null | null | from __future__ import division
# Enter your code here. Read input from STDIN. Print output to STDOUT
N = int(raw_input())
X = map(float, raw_input().strip().split(' '))
Y = map(float, raw_input().strip().split(' '))
rankX = rank(X)
rankY = rank(Y)
di = [(rX - rY) ** 2 for rX, rY in zip(rankX, rankY)]
ans = 1 - (6 * ... | 26.666667 | 69 | 0.61875 | from __future__ import division
# Enter your code here. Read input from STDIN. Print output to STDOUT
N = int(raw_input())
X = map(float, raw_input().strip().split(' '))
Y = map(float, raw_input().strip().split(' '))
def rank(Arr):
sortedArr = sorted(Arr)
ranks = [sortedArr.index(x)+1 for x in Arr]
return ... | 0 | 0 | 0 | 0 | 0 | 86 | 0 | 0 | 23 |
cb05c23869d377ea6206630260a85ed751ceacdd | 29,844 | py | Python | Taiyou/Library/CoreContentManager/__init__.py | aragubas/taiyou-framework | 9ed441a90976795e684939e6c0af56610829ae7f | [
"Apache-2.0"
] | 4 | 2020-11-04T15:33:06.000Z | 2021-11-08T11:45:13.000Z | Taiyou/Library/CoreContentManager/__init__.py | aragubas/taiyou-framework | 9ed441a90976795e684939e6c0af56610829ae7f | [
"Apache-2.0"
] | null | null | null | Taiyou/Library/CoreContentManager/__init__.py | aragubas/taiyou-framework | 9ed441a90976795e684939e6c0af56610829ae7f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3.8
# Copyright 2020 Aragubas
#
# 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... | 34.905263 | 232 | 0.595564 | #!/usr/bin/python3.8
# Copyright 2020 Aragubas
#
# 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... | 0 | 0 | 0 | 28,597 | 0 | 123 | 0 | 43 | 178 |
1ac3521e3726bef7bfdcd523f0bb6716b8925ef6 | 197 | py | Python | rating/config.py | akudja238/Student_Rating_Flask | 7affb3fc1c408593bacef09b55fa46dccbc6d27b | [
"MIT"
] | null | null | null | rating/config.py | akudja238/Student_Rating_Flask | 7affb3fc1c408593bacef09b55fa46dccbc6d27b | [
"MIT"
] | null | null | null | rating/config.py | akudja238/Student_Rating_Flask | 7affb3fc1c408593bacef09b55fa46dccbc6d27b | [
"MIT"
] | null | null | null | import os
basedir = os.path.abspath(os.path.dirname(__file__))
SECRET_KEY = 's5df46sf46s46dfgvfbfbfhGFGFGFB56BF'
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, '..', 'rating.db')
| 28.142857 | 81 | 0.746193 | import os
basedir = os.path.abspath(os.path.dirname(__file__))
SECRET_KEY = 's5df46sf46s46dfgvfbfbfhGFGFGFB56BF'
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, '..', 'rating.db')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0d6ecca665e807e04a51b3326990e22d220f99ee | 5,265 | py | Python | main.py | ZZENTX/FortniteAPI-Auth | 53318cf222bf19a85584fd7631c4c73bce957d84 | [
"MIT"
] | 1 | 2022-03-31T22:44:07.000Z | 2022-03-31T22:44:07.000Z | main.py | ZZENTX/FortniteAPI-Auth | 53318cf222bf19a85584fd7631c4c73bce957d84 | [
"MIT"
] | null | null | null | main.py | ZZENTX/FortniteAPI-Auth | 53318cf222bf19a85584fd7631c4c73bce957d84 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import webbrowser
# Device creation and authorization
# Extracting code from a string
if __name__ == '__main__':
print("Now the site will open in your browser, after authorization, paste the entire line.")
time.sleep(3)
webbrowser.open(endpoints.redirect, new=2)
line = input(... | 27 | 256 | 0.709212 | # -*- coding: utf-8 -*-
import os
import time
import requests
import datetime
import webbrowser
class endpoints:
token = "https://account-public-service-prod.ol.epicgames.com/account/api/oauth/token"
redirect = "https://www.epicgames.com/id/logout?redirectUrl=https%3A//www.epicgames.com/id/login%3FredirectUrl%3Dhtt... | 0 | 0 | 0 | 643 | 0 | 3,622 | 0 | -24 | 249 |
ca054730d2ac34bae848e4b0b5be37c6313bf02f | 465 | py | Python | 11.Learning Python - JM/01.Basic/classes.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 3 | 2020-06-01T04:17:18.000Z | 2020-12-18T03:05:55.000Z | 11.Learning Python - JM/01.Basic/classes.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 1 | 2020-04-25T08:01:59.000Z | 2020-04-25T08:01:59.000Z | 11.Learning Python - JM/01.Basic/classes.py | ptyadana/python-dojo | 98c7234b84f0afea99a091c7198342d66bbdff5b | [
"MIT"
] | 7 | 2020-04-26T10:02:36.000Z | 2021-06-08T05:12:46.000Z | #
# Example file for working with classes
#
if __name__ == "__main__":
main()
| 16.607143 | 46 | 0.63871 | #
# Example file for working with classes
#
class Person():
def greet(self):
print("Hello...")
def walk(self, direction):
print(f"I am walking towards {direction}")
class Programmer(Person):
def code(self, language):
print(f"I am coding in {language}")
def main():
person = Person()
person.gree... | 0 | 0 | 0 | 184 | 0 | 129 | 0 | 0 | 69 |
d27ac970bedcbe00e7ad48fbe2115a7b5d9f4304 | 1,250 | py | Python | src/libs/device/ui/wizard.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | src/libs/device/ui/wizard.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | src/libs/device/ui/wizard.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | # All rights reserved by forest fairy.
# You cannot modify or share anything without sacrifice.
# If you don't agree, keep calm and don't look at code bellow!
__author__ = "VirtualV <https://github.com/virtualvfix>"
__date__ = "Sep 18, 2017 2:32:42 PM"
| 36.764706 | 88 | 0.68 | # All rights reserved by forest fairy.
# You cannot modify or share anything without sacrifice.
# If you don't agree, keep calm and don't look at code bellow!
__author__ = "VirtualV <https://github.com/virtualvfix>"
__date__ = "Sep 18, 2017 2:32:42 PM"
from config import CONFIG
from libs.core.logger import getLogger
... | 0 | 0 | 0 | 762 | 0 | 0 | 0 | 99 | 134 |
d4ba8c74d7353e112c8f275fb6d3989d21755175 | 969 | py | Python | scripts/extract-sentences.py | vishalbelsare/graphbrain | efad1f96dcb616595b13bd4e3ada806862fe7de7 | [
"MIT"
] | 412 | 2016-02-20T12:04:34.000Z | 2022-03-30T21:07:39.000Z | scripts/extract-sentences.py | vishalbelsare/graphbrain | efad1f96dcb616595b13bd4e3ada806862fe7de7 | [
"MIT"
] | 20 | 2018-09-21T13:47:59.000Z | 2021-04-10T04:21:30.000Z | scripts/extract-sentences.py | vishalbelsare/graphbrain | efad1f96dcb616595b13bd4e3ada806862fe7de7 | [
"MIT"
] | 51 | 2017-01-25T17:19:30.000Z | 2022-03-29T07:32:53.000Z |
from graphbrain.cli import wrapper
if __name__ == '__main__':
wrapper(extract_sentences, text='extract sentences')
| 30.28125 | 78 | 0.596491 | import random
from graphbrain.cli import wrapper
from graphbrain.parsers import create_parser
def extract_sentences(args):
parser = create_parser(lang=args.lang, parser_class=args.parser)
sentences = []
count = 0
with open(args.infile, 'r') as infile, open(args.outfile, 'w') as outfile:
for ... | 0 | 0 | 0 | 0 | 0 | 764 | 0 | 15 | 67 |
a5a33dea8bd9422b68bbad8193bf16db9d34c338 | 1,690 | py | Python | departure/provider/nexus/server.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | null | null | null | departure/provider/nexus/server.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | null | null | null | departure/provider/nexus/server.py | Woll78/departure-python | 86eccd40291ad560d5859a120dd6c99aa5c4bd12 | [
"MIT"
] | null | null | null | import logging
from fastapi import APIRouter
logger = logging.getLogger(__name__)
router = APIRouter()
# debugging only
# curl -X POST http://localhost:8000/nexus/start-client -d {\"code\":\"vic\"}
| 24.142857 | 77 | 0.669822 | import threading
import time
import logging
from fastapi import APIRouter
from pydantic import BaseModel
from starlette.requests import Request
from . import nexus, commons, view_model, data_updater
logger = logging.getLogger(__name__)
router = APIRouter()
class Stop(BaseModel):
code: str
@router.get("/sear... | 0 | 1,223 | 0 | 15 | 0 | 0 | 0 | 44 | 201 |
40f82ac020b4b9baf22e5bd230ec2bf575198283 | 482 | py | Python | examples/example.py | sako0938/imp-grpc-client | 3ca0380ef7481f261684d0f22e1985189a9ec7c9 | [
"MIT"
] | null | null | null | examples/example.py | sako0938/imp-grpc-client | 3ca0380ef7481f261684d0f22e1985189a9ec7c9 | [
"MIT"
] | null | null | null | examples/example.py | sako0938/imp-grpc-client | 3ca0380ef7481f261684d0f22e1985189a9ec7c9 | [
"MIT"
] | null | null | null | from pprint import pprint
# Pip installed Modules
from impgrpc import IMPClient
from protobuf_to_dict import protobuf_to_dict
node_ip = "127.0.0.1"
imp = IMPClient(
f"{node_ip}:8881"
)
node_ip = "127.0.0.1"
imp = IMPClient(
f"{node_ip}:9991"
)
for i in imp.subscribe():
print(f"Amount Spent: {i.amount} \n\n"... | 15.0625 | 45 | 0.744813 | from pathlib import Path
import json
from pprint import pprint
import os
import base64
from time import sleep
from datetime import datetime, timedelta
# Pip installed Modules
from impgrpc import IMPClient
from protobuf_to_dict import protobuf_to_dict
node_ip = "127.0.0.1"
imp = IMPClient(
f"{node_ip}:8881"
)
nod... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 132 |
4a9aa90a8634dca8fc77573ea98be46bc37041f3 | 36,754 | py | Python | greengo/greengo.py | syed/greengo | f759a2d03147f384f299b699abd19f46c44243ad | [
"MIT"
] | null | null | null | greengo/greengo.py | syed/greengo | f759a2d03147f384f299b699abd19f46c44243ad | [
"MIT"
] | null | null | null | greengo/greengo.py | syed/greengo | f759a2d03147f384f299b699abd19f46c44243ad | [
"MIT"
] | null | null | null | import os
import yaml
import logging
logging.basicConfig(
format='%(asctime)s|%(name).10s|%(levelname).5s: %(message)s',
level=logging.WARNING)
log = logging.getLogger('greengo')
log.setLevel(logging.DEBUG)
DEFINITION_FILE = 'greengo.yaml'
MAGIC_DIR = '.gg'
STATE_FILE = os.path.join(MAGIC_DIR, 'gg_state.json... | 37.929825 | 145 | 0.574305 | import os
import errno
import fire
import json
import yaml
import shutil
import urllib
from time import sleep
import logging
from boto3 import session
from botocore.exceptions import ClientError
logging.basicConfig(
format='%(asctime)s|%(name).10s|%(levelname).5s: %(message)s',
level=logging.WARNING)
log = log... | 0 | 0 | 0 | 33,524 | 0 | 2,101 | 0 | -18 | 383 |
e6f0e1ef9d158dd2a4c7a3087599962003a0e4de | 3,879 | py | Python | python/pygimli/physics/traveltime/FMM2layer.py | mjziebarth/gimli | 196ac4d6dd67e0326cccc44a87b367f64051e490 | [
"Apache-2.0"
] | 3 | 2021-07-10T00:56:59.000Z | 2022-02-17T12:43:38.000Z | python/pygimli/physics/traveltime/FMM2layer.py | ivek1312/gimli | 5fafebb7c96dd0e04e2616df402fa27a01609d63 | [
"Apache-2.0"
] | null | null | null | python/pygimli/physics/traveltime/FMM2layer.py | ivek1312/gimli | 5fafebb7c96dd0e04e2616df402fa27a01609d63 | [
"Apache-2.0"
] | 1 | 2022-03-29T04:28:40.000Z | 2022-03-29T04:28:40.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Fast Marching test using a two-layer model."""
import time
from math import asin, tan
import numpy as np
import matplotlib.pyplot as plt
import pygimli as pg
from pygimli.mplviewer import drawMesh, drawField, drawStreamLines
from pygimli.physics.traveltime import fastM... | 32.057851 | 78 | 0.60067 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Fast Marching test using a two-layer model."""
import time
from math import asin, tan
import numpy as np
import matplotlib.pyplot as plt
import pygimli as pg
from pygimli.mplviewer import drawMesh, drawField, drawStreamLines
from pygimli.physics.traveltime import fastM... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14b97377bed66ea633851daaf58b134e192dde93 | 908 | py | Python | code/OH.py | alexmill/covid19demographics-fall | b53708883a0c091f7e4eaef3d270153d88fe11f9 | [
"MIT"
] | null | null | null | code/OH.py | alexmill/covid19demographics-fall | b53708883a0c091f7e4eaef3d270153d88fe11f9 | [
"MIT"
] | null | null | null | code/OH.py | alexmill/covid19demographics-fall | b53708883a0c091f7e4eaef3d270153d88fe11f9 | [
"MIT"
] | 2 | 2020-09-24T01:01:11.000Z | 2020-10-06T19:17:43.000Z | import datetime
# To download the docx file, run a command along the following lines:
#
# curl https://www.mass.gov/doc/covid-19-cases-in-massachusetts-as-of-march-27-2020-accessible/download > 3-27-20.docx
#
# For some reason, docx files were not available for some dates. Then, run the following command to get the PD... | 39.478261 | 123 | 0.692731 | import os
import datetime
# To download the docx file, run a command along the following lines:
#
# curl https://www.mass.gov/doc/covid-19-cases-in-massachusetts-as-of-march-27-2020-accessible/download > 3-27-20.docx
#
# For some reason, docx files were not available for some dates. Then, run the following command to ... | 0 | 0 | 0 | 0 | 0 | 203 | 0 | -12 | 45 |
31e50e926eee0f504cfb6e664762d7178abb9f0a | 452 | py | Python | rich/themes.py | AbhishekSinhaCoder/rich | 242770ed7dc95acac309bffaeb07e585ebd2c135 | [
"MIT"
] | null | null | null | rich/themes.py | AbhishekSinhaCoder/rich | 242770ed7dc95acac309bffaeb07e585ebd2c135 | [
"MIT"
] | null | null | null | rich/themes.py | AbhishekSinhaCoder/rich | 242770ed7dc95acac309bffaeb07e585ebd2c135 | [
"MIT"
] | null | null | null | from .theme import Theme
DEFAULT = Theme(
(255, 255, 255),
(0, 0, 0),
[
(0, 0, 0),
(128, 0, 0),
(0, 128, 0),
(128, 128, 0),
(0, 0, 128),
(128, 0, 128),
(0, 128, 128),
(192, 192, 192),
(128, 128, 128),
(255, 0, 0),
(0, 2... | 18.08 | 24 | 0.323009 | from .theme import Theme
DEFAULT = Theme(
(255, 255, 255),
(0, 0, 0),
[
(0, 0, 0),
(128, 0, 0),
(0, 128, 0),
(128, 128, 0),
(0, 0, 128),
(128, 0, 128),
(0, 128, 128),
(192, 192, 192),
(128, 128, 128),
(255, 0, 0),
(0, 2... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
02a31ff1038e36e1ecceeba0613572e9294d89d4 | 1,342 | py | Python | yozuch/project_init.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 32 | 2015-02-01T16:35:21.000Z | 2022-03-14T00:50:32.000Z | yozuch/project_init.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 6 | 2015-06-19T10:58:35.000Z | 2019-04-07T16:38:01.000Z | yozuch/project_init.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 1 | 2017-01-21T18:51:11.000Z | 2017-01-21T18:51:11.000Z | """
Project creator.
"""
| 29.822222 | 119 | 0.649031 | """
Project creator.
"""
import os
import shutil
import datetime
from yozuch import config, logger
from yozuch.utils import makedirs
def init(project_dir):
makedirs(project_dir)
# Create dirs
dirs = [
'assets',
'documents',
'posts',
'templates',
]
for dir_name in... | 0 | 0 | 0 | 0 | 0 | 1,184 | 0 | -2 | 134 |
2b20cb14bcb71340705cf1b5770949aa141f9fae | 9,028 | py | Python | self_deblur_net/model_self_deblur_net.py | adityakrishnavamsy/SelfDeblur | 29d02605d64faf8428f4c862d8e004a85c2cd719 | [
"MIT"
] | 104 | 2020-02-09T00:58:00.000Z | 2022-03-23T07:59:56.000Z | self_deblur_net/model_self_deblur_net.py | adityakrishnavamsy/SelfDeblur | 29d02605d64faf8428f4c862d8e004a85c2cd719 | [
"MIT"
] | 5 | 2020-03-06T04:21:41.000Z | 2022-03-21T01:04:05.000Z | self_deblur_net/model_self_deblur_net.py | adityakrishnavamsy/SelfDeblur | 29d02605d64faf8428f4c862d8e004a85c2cd719 | [
"MIT"
] | 18 | 2020-02-10T13:02:46.000Z | 2021-09-05T14:45:54.000Z | import torch.nn as nn
| 48.021277 | 135 | 0.558817 | import torch
import numpy as np
import torch.nn as nn
from model_base import *
from net_deblur import *
from net_pwc import*
from reblur_package import *
from flow_utils import *
from image_proc import *
from losses import *
class ModelSelfDeblurNet(ModelBase):
def __init__(self, opts):
super(ModelSelfDeb... | 0 | 0 | 0 | 8,779 | 0 | 0 | 0 | 5 | 222 |
ffad2f1f175c4899e3cd5c8d844f863a90ad9379 | 719 | py | Python | build/vrpn_client_ros/catkin_generated/pkg.develspace.context.pc.py | thori1222/an_hori_project | 9fca623f76cc2a65611ec57a07de221b29969e58 | [
"MIT"
] | null | null | null | build/vrpn_client_ros/catkin_generated/pkg.develspace.context.pc.py | thori1222/an_hori_project | 9fca623f76cc2a65611ec57a07de221b29969e58 | [
"MIT"
] | null | null | null | build/vrpn_client_ros/catkin_generated/pkg.develspace.context.pc.py | thori1222/an_hori_project | 9fca623f76cc2a65611ec57a07de221b29969e58 | [
"MIT"
] | null | null | null | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/thori/ccccc/src/vrpn_client_ros/include;/opt/ros/melodic/include".split(';') if "/home/thori/ccccc/src/vrpn_client_ros/include;/opt/ros/melodic/include" != "" else []
PROJECT_CATKIN_DEPENDS = "ge... | 79.888889 | 254 | 0.76217 | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/thori/ccccc/src/vrpn_client_ros/include;/opt/ros/melodic/include".split(';') if "/home/thori/ccccc/src/vrpn_client_ros/include;/opt/ros/melodic/include" != "" else []
PROJECT_CATKIN_DEPENDS = "ge... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e757fc67fe7b45c9c0cfb97b90a67ee170b5380a | 3,543 | py | Python | torchwi/propagator/td2d_base.py | pkgpl/TorchWI | 772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f | [
"MIT"
] | 5 | 2020-11-04T07:24:01.000Z | 2022-01-07T05:55:18.000Z | torchwi/propagator/td2d_base.py | pkgpl/TorchWI | 772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f | [
"MIT"
] | 5 | 2021-04-28T05:34:28.000Z | 2022-03-10T04:47:24.000Z | torchwi/propagator/td2d_base.py | pkgpl/TorchWI | 772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f | [
"MIT"
] | null | null | null | import numpy as np
# 2nd order Keys boundary condition
CT1 = np.cos(np.pi / 6.)
CT2 = np.cos(np.pi / 12.)
CM12 = CT1 * CT2
CP12 = CT1 + CT2
| 37.294737 | 134 | 0.393734 | import numpy as np
from numba import jit
@jit
def fdm_o2(up, uo, um, vel2, dtoh2, dimx, dimy):
ne = 1
for i in range(ne, dimx - ne):
for j in range(ne, dimy - ne):
up[i, j] = vel2[i, j] * dtoh2 * (-4. * uo[i, j]
+ uo[i - 1, j] + uo[i + 1, j] + u... | 0 | 3,211 | 0 | 0 | 0 | 0 | 0 | 0 | 183 |
e90a500108f17da8880d8256528e6b7dbc497fb2 | 3,577 | py | Python | spacedrive/renderpipeline/toolkit/rp_distributor/main.py | croxis/SpaceDrive | 3f610cf72002beb11e73a47c2f118e35ff2d9575 | [
"MIT"
] | 5 | 2016-01-02T05:23:37.000Z | 2017-07-01T13:53:36.000Z | spacedrive/renderpipeline/toolkit/rp_distributor/main.py | croxis/SpaceDrive | 3f610cf72002beb11e73a47c2f118e35ff2d9575 | [
"MIT"
] | 1 | 2016-06-28T08:43:59.000Z | 2016-07-07T20:28:43.000Z | spacedrive/renderpipeline/toolkit/rp_distributor/main.py | croxis/SpaceDrive | 3f610cf72002beb11e73a47c2f118e35ff2d9575 | [
"MIT"
] | null | null | null | """
RP Distributor
"""
from __future__ import print_function
import os
import sys
from os.path import join, dirname, realpath
base_dir = realpath(dirname(__file__))
rp_dir = realpath(join(base_dir, "../../"))
os.chdir(base_dir)
sys.path.insert(0, rp_dir)
ignores = [
# data
"skybox-b... | 26.301471 | 86 | 0.588762 | """
RP Distributor
"""
from __future__ import print_function
import re
import os
import sys
import shutil
from os.path import isfile, isdir, join, dirname, realpath, relpath
base_dir = realpath(dirname(__file__))
rp_dir = realpath(join(base_dir, "../../"))
os.chdir(base_dir)
sys.path.insert(0,... | 0 | 0 | 0 | 0 | 0 | 1,672 | 0 | 17 | 96 |
f3f3539a20a847797b3c06791176b66e9013a288 | 224 | py | Python | tests/_common.py | cedadev/compliance-check-lib | 7adb5eddb55cc3b9ade5d2c5a8b5dd898b147184 | [
"BSD-3-Clause"
] | 1 | 2020-04-16T18:40:29.000Z | 2020-04-16T18:40:29.000Z | tests/_common.py | cedadev/compliance-check-lib | 7adb5eddb55cc3b9ade5d2c5a8b5dd898b147184 | [
"BSD-3-Clause"
] | 5 | 2018-03-20T20:24:09.000Z | 2022-02-09T09:12:13.000Z | tests/_common.py | cedadev/compliance-check-lib | 7adb5eddb55cc3b9ade5d2c5a8b5dd898b147184 | [
"BSD-3-Clause"
] | 2 | 2018-01-09T09:40:54.000Z | 2020-06-25T10:49:39.000Z | from pathlib import Path
COMP_CHECK_CV_REPO_DIR = Path.home() / ".comp-check-cvs-cache"
COMP_CHECK_CV_CACHE_DIR = (COMP_CHECK_CV_REPO_DIR / "master" / "pyessv-archive-eg-cvs").as_posix()
EG_DATA_DIR = "tests/example_data"
| 32 | 98 | 0.772321 | from pathlib import Path
COMP_CHECK_CV_REPO_DIR = Path.home() / ".comp-check-cvs-cache"
COMP_CHECK_CV_CACHE_DIR = (COMP_CHECK_CV_REPO_DIR / "master" / "pyessv-archive-eg-cvs").as_posix()
EG_DATA_DIR = "tests/example_data"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d0bc798b3f7e8aeda2d2236d3b7b6d9d1f6ee818 | 3,713 | py | Python | app/gate/core/User.py | xiaomi2019/lolita_son | 8205dff0d423aaedfa7fca8790d1d6fe50213e6e | [
"MIT"
] | null | null | null | app/gate/core/User.py | xiaomi2019/lolita_son | 8205dff0d423aaedfa7fca8790d1d6fe50213e6e | [
"MIT"
] | null | null | null | app/gate/core/User.py | xiaomi2019/lolita_son | 8205dff0d423aaedfa7fca8790d1d6fe50213e6e | [
"MIT"
] | 2 | 2019-02-18T03:49:52.000Z | 2020-03-03T16:42:02.000Z | #coding:utf8
'''
Created on 2011-3-23
@author: sean_lan
'''
INITTOWN = 1700
| 28.782946 | 98 | 0.580932 | #coding:utf8
'''
Created on 2011-3-23
@author: sean_lan
'''
from app.share.dbopear import dbuser
INITTOWN = 1700
from twisted.python import log
class User:
'''用户类'''
def __init__(self, account,password,dynamicId = -1):
'''
@param id: int 用户的id
@param name: str用户的名称
@param... | 354 | 0 | 0 | 3,409 | 0 | 0 | 0 | 24 | 67 |
0ba81039acb26d9558d10fffbd2cbecb7569a1a6 | 1,018 | py | Python | examples/onedrive/export_files.py | AndersFreund/Office365-REST-Python-Client | 98448bbe0d34dfe3d1a7a2005e0e730b92faae75 | [
"MIT"
] | null | null | null | examples/onedrive/export_files.py | AndersFreund/Office365-REST-Python-Client | 98448bbe0d34dfe3d1a7a2005e0e730b92faae75 | [
"MIT"
] | null | null | null | examples/onedrive/export_files.py | AndersFreund/Office365-REST-Python-Client | 98448bbe0d34dfe3d1a7a2005e0e730b92faae75 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
# Example demonstrates how to export OneDrive files into local file system
# --------------------------------------------------------------------------
import os
import tempfile
from examples import acquire_token_client_credentials
from offi... | 44.26087 | 102 | 0.6611 | # --------------------------------------------------------------------------
# Example demonstrates how to export OneDrive files into local file system
# --------------------------------------------------------------------------
import os
import tempfile
from examples import acquire_token_client_credentials
from offi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8c5234b972cdc82bef887cede65ae3390148821a | 2,896 | py | Python | wynn/recipe.py | Zakru/wynn.py | eb7b7872d8720e56f01c0baba0c1b8a243c62ec4 | [
"MIT"
] | 1 | 2019-11-18T14:36:14.000Z | 2019-11-18T14:36:14.000Z | wynn/recipe.py | Zakru/wynn.py | eb7b7872d8720e56f01c0baba0c1b8a243c62ec4 | [
"MIT"
] | 1 | 2020-03-09T08:25:58.000Z | 2020-03-09T08:38:42.000Z | wynn/recipe.py | Zakru/wynn.py | eb7b7872d8720e56f01c0baba0c1b8a243c62ec4 | [
"MIT"
] | 1 | 2021-07-31T19:11:19.000Z | 2021-07-31T19:11:19.000Z | """
Copyright 2020 Zakru
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files
(the "Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, ... | 32.177778 | 72 | 0.684392 | """
Copyright 2020 Zakru
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files
(the "Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 |
547fe4a11b26916be0435b8a6a1a0adb0c70910a | 1,980 | py | Python | tools/JsonSubSchema/test/i_jss_test.py | sdbs-uni-p/josch | 1bca6b1b6c4a5b06ababa8e86625b5a337e6f5ea | [
"MIT"
] | 1 | 2021-02-28T16:05:09.000Z | 2021-02-28T16:05:09.000Z | tools/JsonSubSchema/test/i_jss_test.py | sdbs-uni-p/josch | 1bca6b1b6c4a5b06ababa8e86625b5a337e6f5ea | [
"MIT"
] | null | null | null | tools/JsonSubSchema/test/i_jss_test.py | sdbs-uni-p/josch | 1bca6b1b6c4a5b06ababa8e86625b5a337e6f5ea | [
"MIT"
] | null | null | null | import unittest
import os
import sys
root = os.path.abspath(os.path.dirname(os.path.dirname(os.path.abspath(
__file__))))
sys.path.append(root)
if __name__ == '__main__':
unittest.main()
| 37.358491 | 85 | 0.659091 | import unittest
import os
import sys
root = os.path.abspath(os.path.dirname(os.path.dirname(os.path.abspath(
__file__))))
sys.path.append(root)
from i_jss import _load_json_schema
from i_jss import compare
class IJssTest(unittest.TestCase):
"""
Tests the compare() function from i_jss with fixed schemas ... | 0 | 0 | 0 | 1,695 | 0 | 0 | 0 | 18 | 68 |
f0286fb9c8154b59375275668fbe27379d43a878 | 16,087 | py | Python | generate_model/covid19_configurable_temporal.py | aitoralmeida/lus_stratification | 8153a2dd4ddd49bac8c7d36269762ddd9207d72f | [
"Apache-2.0"
] | 1 | 2020-12-26T23:27:32.000Z | 2020-12-26T23:27:32.000Z | generate_model/covid19_configurable_temporal.py | aitoralmeida/lus_stratification | 8153a2dd4ddd49bac8c7d36269762ddd9207d72f | [
"Apache-2.0"
] | null | null | null | generate_model/covid19_configurable_temporal.py | aitoralmeida/lus_stratification | 8153a2dd4ddd49bac8c7d36269762ddd9207d72f | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import argparse
from random import seed
from tensorflow.random import set_seed
from tensorflow.keras.layers import Dense, GlobalAveragePooling2D, TimeDistributed, LSTM, Input
from tensorflow.keras.models import Model
from tensorflow.keras.applications.mobilenet import MobileNet
from tensorf... | 38.577938 | 161 | 0.643128 | import os
import numpy as np
import argparse
from sklearn import metrics
from random import shuffle, sample, seed
import tensorflow as tf
from tensorflow import keras
from tensorflow.random import set_seed
from tensorflow.keras.preprocessing import image
from tensorflow.keras.layers import Dense, GlobalAveragePooling... | 0 | 0 | 0 | 0 | 0 | 8,115 | 0 | 246 | 179 |
c5bef87f797892c505b596e494e765207c89d93c | 252 | py | Python | src/python/process_pool.py | nhatvu148/helpers | 1a6875017cf39790dfe40ecec9dcee4410b1d89e | [
"MIT"
] | null | null | null | src/python/process_pool.py | nhatvu148/helpers | 1a6875017cf39790dfe40ecec9dcee4410b1d89e | [
"MIT"
] | null | null | null | src/python/process_pool.py | nhatvu148/helpers | 1a6875017cf39790dfe40ecec9dcee4410b1d89e | [
"MIT"
] | null | null | null | from multiprocessing import Pool
if __name__ == '__main__':
numbers = range(10)
pool = Pool()
result = pool.map(cube, numbers)
pool.close()
pool.join()
print(result) | 16.8 | 36 | 0.626984 | from multiprocessing import Pool
def cube(number):
return number * number * number
if __name__ == '__main__':
numbers = range(10)
pool = Pool()
result = pool.map(cube, numbers)
pool.close()
pool.join()
print(result) | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 23 |
f2a552cf78bf202f5b2ebf2748f188cf8f35d63f | 57,017 | py | Python | zabbixdocker/services/containers.py | bhuisgen/zabbix-docker | ab6d7c2a0d969ca86c59c2dfd670c4aae6bc6368 | [
"MIT"
] | 7 | 2017-03-13T09:46:53.000Z | 2021-01-15T08:59:58.000Z | zabbixdocker/services/containers.py | bhuisgen/zabbix-docker | ab6d7c2a0d969ca86c59c2dfd670c4aae6bc6368 | [
"MIT"
] | 1 | 2019-11-22T14:11:35.000Z | 2020-07-01T13:26:38.000Z | zabbixdocker/services/containers.py | bhuisgen/zabbix-docker | ab6d7c2a0d969ca86c59c2dfd670c4aae6bc6368 | [
"MIT"
] | 2 | 2021-08-09T16:12:17.000Z | 2022-01-06T17:30:46.000Z | from __future__ import division
| 46.927572 | 120 | 0.459319 | from __future__ import division
import configparser
import logging
import os
import queue
import re
import threading
import time
import docker
from zabbixdocker.lib.zabbix import ZabbixMetric, ZabbixSender
class DockerContainersService(threading.Thread):
""" This class implements the service which sends contai... | 0 | 0 | 0 | 56,616 | 0 | 0 | 0 | -24 | 385 |
d0302d5fed2b756ebc6d4184bf360ffde3c7d71f | 36,199 | py | Python | osrefl/viewers/plot_2d.py | reflectometry/osrefl | ddf55d542f2eab2a29fd6ffc862379820a06d5c7 | [
"BSD-3-Clause"
] | 2 | 2015-05-21T15:16:46.000Z | 2015-10-23T17:47:36.000Z | osrefl/viewers/plot_2d.py | reflectometry/osrefl | ddf55d542f2eab2a29fd6ffc862379820a06d5c7 | [
"BSD-3-Clause"
] | null | null | null | osrefl/viewers/plot_2d.py | reflectometry/osrefl | ddf55d542f2eab2a29fd6ffc862379820a06d5c7 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from pylab import figure
import matplotlib.colors as colors
import matplotlib.cbook as cbook
#from binned_data_class3 import plottable_2d_data
#from wxrebin3 import rebinned_data
#import __main__
| 40.221111 | 182 | 0.574077 | # -*- coding: utf-8 -*-
from pylab import imshow,cm,colorbar,hot,show,xlabel,ylabel,connect, plot, figure, draw, axis, gcf,legend
from numpy import ones, sum, arange, transpose, log
import matplotlib.colors as colors
from matplotlib.widgets import RectangleSelector
from colormap import change_colormap
from matplotlib.... | 0 | 0 | 0 | 35,152 | 0 | 0 | 0 | 425 | 399 |
b6993c772ff89c4e23ebd3bba5c1191957fdb922 | 519 | py | Python | Cap_4/ex4.8.py | gguilherme42/Livro-de-Python | 465a509d50476fd1a87239c71ed741639d58418b | [
"MIT"
] | 4 | 2020-04-07T00:38:46.000Z | 2022-03-10T03:34:42.000Z | Cap_4/ex4.8.py | gguilherme42/Livro-de-Python | 465a509d50476fd1a87239c71ed741639d58418b | [
"MIT"
] | null | null | null | Cap_4/ex4.8.py | gguilherme42/Livro-de-Python | 465a509d50476fd1a87239c71ed741639d58418b | [
"MIT"
] | 1 | 2021-04-22T02:45:38.000Z | 2021-04-22T02:45:38.000Z | soma = lambda x, y: x + y
div = lambda x, y: x / y
sub = lambda x, y: x - y
mult = lambda x, y: x * y
a, b = int(input('Nmero: ')), int(input('Nmero: '))
print(''' 1 - Soma
2 - Subtrao
3 - Diviso
4 - Multiplicao
''')
resp = int(input('Digite um operao: '))
if resp == 1:
print(f'Soma: {soma(a, b)}')
elif resp == 2:
... | 21.625 | 53 | 0.566474 | soma = lambda x, y: x + y
div = lambda x, y: x / y
sub = lambda x, y: x - y
mult = lambda x, y: x * y
a, b = int(input('Número: ')), int(input('Número: '))
print(''' 1 - Soma
2 - Subtração
3 - Divisão
4 - Multiplicação
''')
resp = int(input('Digite um operação: '))
if resp == 1:
print(f'Soma: {soma(a, b)}')
elif re... | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
67161f43a73a2eec998eceec417a4ac701a2b4a5 | 41 | py | Python | main.py | florimondmanca/cython-hello | c3a8d335be932f2d5f46ad0a12b3881989f200fa | [
"MIT"
] | 1 | 2020-02-20T15:16:37.000Z | 2020-02-20T15:16:37.000Z | main.py | florimondmanca/cython-hello | c3a8d335be932f2d5f46ad0a12b3881989f200fa | [
"MIT"
] | null | null | null | main.py | florimondmanca/cython-hello | c3a8d335be932f2d5f46ad0a12b3881989f200fa | [
"MIT"
] | null | null | null | from hello import hello
hello("Cython")
| 10.25 | 23 | 0.756098 | from hello import hello
hello("Cython")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4a73d890c5f3cd0dcfb5d3fd373f12fd08baa163 | 1,442 | py | Python | webdev/fornecedores/migrations/0002_auto_20210430_2354.py | h-zanetti/jewelry-manager | 74166b89f492303b8ebf5ff8af058f394eb2a28b | [
"MIT"
] | null | null | null | webdev/fornecedores/migrations/0002_auto_20210430_2354.py | h-zanetti/jewelry-manager | 74166b89f492303b8ebf5ff8af058f394eb2a28b | [
"MIT"
] | 103 | 2021-04-25T21:28:11.000Z | 2022-03-15T01:36:31.000Z | webdev/fornecedores/migrations/0002_auto_20210430_2354.py | h-zanetti/jewelry-manager | 74166b89f492303b8ebf5ff8af058f394eb2a28b | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-05-01 02:54
| 31.347826 | 115 | 0.588072 | # Generated by Django 3.1.5 on 2021-05-01 02:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('fornecedores', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='fornecedor',
name='emails',
... | 6 | 0 | 0 | 1,325 | 0 | 0 | 0 | 19 | 46 |
4f7f71fa9f4e88dc2518c03f9eafd20de0f8ea1e | 30,139 | py | Python | pcapkit/protocols/application/httpv2.py | JarryShaw/jspcap | 9d4c980598e3c5e0af864044976f91b9b96e2e3e | [
"BSD-3-Clause"
] | 3 | 2018-01-21T15:22:21.000Z | 2018-06-22T01:27:59.000Z | pcapkit/protocols/application/httpv2.py | JarryShaw/jspcap | 9d4c980598e3c5e0af864044976f91b9b96e2e3e | [
"BSD-3-Clause"
] | null | null | null | pcapkit/protocols/application/httpv2.py | JarryShaw/jspcap | 9d4c980598e3c5e0af864044976f91b9b96e2e3e | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""hypertext transfer protocol (HTTP/2)
:mod:`pcapkit.protocols.application.httpv2` contains
:class:`~pcapkit.protocols.application.httpv2.HTTPv2`
only, which implements extractor for Hypertext Transfer
Protocol (HTTP/2) [*]_, whose structure is described as
below:
======= ========= ==========... | 36.71011 | 136 | 0.414081 | # -*- coding: utf-8 -*-
"""hypertext transfer protocol (HTTP/2)
:mod:`pcapkit.protocols.application.httpv2` contains
:class:`~pcapkit.protocols.application.httpv2.HTTPv2`
only, which implements extractor for Hypertext Transfer
Protocol (HTTP/2) [*]_, whose structure is described as
below:
======= ========= ==========... | 0 | 703 | 0 | 26,049 | 0 | 0 | 0 | 1,564 | 557 |
efaac00ac5a650136f6ee54e7ed8215103034212 | 32,444 | py | Python | sami/network.py | sami-dca/sami_dca | 7cdc5151b04f01b2b3a291f896e446b8a4d3c1c2 | [
"MIT"
] | 2 | 2022-03-17T11:32:47.000Z | 2022-03-18T09:56:26.000Z | sami/network.py | sami-dca/sami_dca | 7cdc5151b04f01b2b3a291f896e446b8a4d3c1c2 | [
"MIT"
] | 5 | 2020-11-18T13:41:26.000Z | 2021-12-20T10:39:45.000Z | sami/network.py | sami-dca/sami_dca | 7cdc5151b04f01b2b3a291f896e446b8a4d3c1c2 | [
"MIT"
] | 1 | 2020-11-18T11:54:46.000Z | 2020-11-18T11:54:46.000Z | # -*- coding: UTF8 -*-
"""
TODO:
- Fix arguments of find_contact()
- Implement PING protocol
"""
| 40.656642 | 120 | 0.586272 | # -*- coding: UTF8 -*-
"""
TODO:
- Fix arguments of find_contact()
- Implement PING protocol
"""
import socket
import random
import logging
from unittest import mock
from typing import Tuple, Optional
from json.decoder import JSONDecodeError
from .node import Node
from .config import Config
fr... | 0 | 0 | 0 | 31,720 | 0 | 0 | 0 | 237 | 376 |
fa896815a4a20dfbb71bab64ad52bcfde288176e | 6,181 | py | Python | huaweicloud-sdk-mpc/huaweicloudsdkmpc/v1/model/watermark_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-mpc/huaweicloudsdkmpc/v1/model/watermark_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-mpc/huaweicloudsdkmpc/v1/model/watermark_request.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
| 28.483871 | 120 | 0.602815 | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class WatermarkRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key i... | 504 | 2,408 | 0 | 3,465 | 0 | 0 | 0 | 30 | 91 |
b94e62b7eedc9a86a2f74ea0389b028bb9c8b9f9 | 3,560 | py | Python | Python/Arrays/ArrayMath/Max Sum Contiguous Subarray.py | rsamit26/Euler_Project | 84b7045cc676f2c46fac01bbb155904b3d87e20f | [
"MIT"
] | 20 | 2018-09-16T19:50:54.000Z | 2022-02-13T17:04:16.000Z | Python/Arrays/ArrayMath/Max Sum Contiguous Subarray.py | rsamit26/Euler_Project | 84b7045cc676f2c46fac01bbb155904b3d87e20f | [
"MIT"
] | 1 | 2019-07-18T16:05:52.000Z | 2019-08-13T04:11:59.000Z | Python/Arrays/ArrayMath/Max Sum Contiguous Subarray.py | rsamit26/Euler_Project | 84b7045cc676f2c46fac01bbb155904b3d87e20f | [
"MIT"
] | 16 | 2019-01-22T23:39:21.000Z | 2022-02-21T17:59:46.000Z | """
Max Sum Contiguous Subarray
Find the contiguous subarray within an array (containing at least one number) which has the largest sum.
For example:
Given the array [-2,1,-3,4,-1,2,1,-5,4],
the contiguous subarray [4,-1,2,1] has the largest sum = 6.
For this problem, return the maximum sum.
"""
"""
Testing Cod... | 53.939394 | 120 | 0.483146 | """
Max Sum Contiguous Subarray
Find the contiguous subarray within an array (containing at least one number) which has the largest sum.
For example:
Given the array [-2,1,-3,4,-1,2,1,-5,4],
the contiguous subarray [4,-1,2,1] has the largest sum = 6.
For this problem, return the maximum sum.
"""
class Solution:
... | 0 | 0 | 0 | 267 | 0 | 0 | 0 | 0 | 23 |
173e6ba01b215aa3cea3740113e304ac4456e494 | 3,867 | py | Python | src/direpack/preprocessing/_gsspp_utils.py | emmanueljordy/direpack | 7daf047869234e2648d093d02c54532ea914e796 | [
"MIT"
] | 23 | 2020-04-04T20:48:25.000Z | 2022-01-07T19:42:22.000Z | src/direpack/preprocessing/_gsspp_utils.py | emmanueljordy/direpack | 7daf047869234e2648d093d02c54532ea914e796 | [
"MIT"
] | 8 | 2020-04-26T19:24:01.000Z | 2021-05-20T13:29:31.000Z | src/direpack/preprocessing/_gsspp_utils.py | emmanueljordy/direpack | 7daf047869234e2648d093d02c54532ea914e796 | [
"MIT"
] | 9 | 2020-04-11T11:25:16.000Z | 2021-04-27T09:38:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 25 09:02:05 2020
@author: Sven Serneels, Ponalytics.
Code for radial transform functions largely adapted from
R code by Jakob Raymaekers
"""
import numpy as np
def quad(dd, p, n):
"""
Computes the quadratic radial function
args:
... | 25.11039 | 90 | 0.573313 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 25 09:02:05 2020
@author: Sven Serneels, Ponalytics.
Code for radial transform functions largely adapted from
R code by Jakob Raymaekers
"""
import numpy as np
def quad(dd, p, n):
"""
Computes the quadratic radial function
args:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
40cd998602a99e30923c7765047bd08472cfa975 | 369 | py | Python | tests/bench/megatime.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 1,526 | 2017-09-15T18:49:40.000Z | 2021-01-17T16:04:12.000Z | tests/bench/megatime.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 682 | 2017-09-11T17:43:12.000Z | 2021-01-17T05:26:26.000Z | tests/bench/megatime.py | msaladna/mitogen | c6824b68181729cb16c090e72f4d35d6c4d95523 | [
"BSD-3-Clause"
] | 111 | 2017-09-15T23:21:37.000Z | 2021-01-01T14:45:35.000Z | #!/usr/bin/env python
import sys
import os
import mitogen.core
times = []
for x in range(5):
t0 = mitogen.core.now()
os.spawnvp(os.P_WAIT, sys.argv[1], sys.argv[1:])
t = mitogen.core.now() - t0
times.append(t)
print('+++', t)
print('all:', times)
print('min %s max %s diff %s' % (min(times), max... | 18.45 | 84 | 0.604336 | #!/usr/bin/env python
import sys
import os
import time
import mitogen.core
times = []
for x in range(5):
t0 = mitogen.core.now()
os.spawnvp(os.P_WAIT, sys.argv[1], sys.argv[1:])
t = mitogen.core.now() - t0
times.append(t)
print('+++', t)
print('all:', times)
print('min %s max %s diff %s' % (min... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
d74800f0c4de3bf51425b60eb54aa3369b6228f2 | 3,096 | py | Python | network/static_char_rnn_gen.py | uwsampl/relay-network | 86ec2988d55bebd85821e55da37030955c945c22 | [
"Apache-2.0"
] | null | null | null | network/static_char_rnn_gen.py | uwsampl/relay-network | 86ec2988d55bebd85821e55da37030955c945c22 | [
"Apache-2.0"
] | null | null | null | network/static_char_rnn_gen.py | uwsampl/relay-network | 86ec2988d55bebd85821e55da37030955c945c22 | [
"Apache-2.0"
] | null | null | null |
x = CharRNNGen20(input_size=22, hidden_size=23, output_size=34)
from tvm.relay.transform import ToANormalForm, PartialEvaluate, ToGraphNormalForm, Sequential
p = Sequential([ToANormalForm(), PartialEvaluate(), ToGraphNormalForm()])
x.mod = p(x.mod)
x.mod["main"] = x.mod["f_0"]
#rnn = quantize(x.mod["main"], x.mod)
p... | 57.333333 | 161 | 0.704134 | from tvm.relay import op, var, Var, Function, Clause, PatternConstructor, PatternVar, Match, const
from tvm.relay import TupleGetItem, Tuple, TensorType, TupleType, If
from network import Network
from common import Linear
import numpy as np
from tvm.relay.quantize import quantize
class CharRNNCell(Network):
def bu... | 0 | 0 | 0 | 2,406 | 0 | 0 | 0 | 149 | 201 |
7c88ec310a341569c0af4d3ae43a56c3daa78416 | 23,968 | py | Python | conference.py | brycegit/ConferenceProject | 4fbc9c9d8e18068c9324bd6a4f9d308aea8c9a0d | [
"Apache-2.0"
] | null | null | null | conference.py | brycegit/ConferenceProject | 4fbc9c9d8e18068c9324bd6a4f9d308aea8c9a0d | [
"Apache-2.0"
] | null | null | null | conference.py | brycegit/ConferenceProject | 4fbc9c9d8e18068c9324bd6a4f9d308aea8c9a0d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
conference.py -- Udacity conference server-side Python App Engine API;
uses Google Cloud Endpoints
$Id: conference.py,v 1.25 2014/05/24 23:42:19 wesc Exp wesc $
created by wesc on 2014 apr 21
"""
__author__ = 'wesc+api@google.com (Wesley Chun)'
import endpoints
from protorpc import ... | 34.736232 | 120 | 0.614611 | #!/usr/bin/env python
"""
conference.py -- Udacity conference server-side Python App Engine API;
uses Google Cloud Endpoints
$Id: conference.py,v 1.25 2014/05/24 23:42:19 wesc Exp wesc $
created by wesc on 2014 apr 21
"""
__author__ = 'wesc+api@google.com (Wesley Chun)'
from datetime import datetime
import ... | 0 | 21,071 | 0 | 0 | 0 | 0 | 0 | 237 | 512 |
7c341e1463a6753626ff6ffd44f19b7f557d1e5b | 635 | py | Python | 10 Days of Statistics/Day 0 - Weighted Mean.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | 10 Days of Statistics/Day 0 - Weighted Mean.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | 10 Days of Statistics/Day 0 - Weighted Mean.py | sohammanjrekar/HackerRank | 1f5010133a1ac1e765e855a086053c97d9e958be | [
"MIT"
] | null | null | null | #!/bin/python3
#
# Complete the 'weightedMean' function below.
#
# The function accepts following parameters:
# 1. INTEGER_ARRAY X
# 2. INTEGER_ARRAY W
#
if __name__ == '__main__':
n = int(input().strip())
vals = list(map(int, input().rstrip().split()))
weights = list(map(int, input().rst... | 20.483871 | 55 | 0.604724 | #!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'weightedMean' function below.
#
# The function accepts following parameters:
# 1. INTEGER_ARRAY X
# 2. INTEGER_ARRAY W
#
def weightedMean(n, X, W):
# Write your code here
sum_items = 0
for i in ... | 0 | 0 | 0 | 0 | 0 | 173 | 0 | -53 | 142 |
1dcc4c9ea3f48ca62df1b67abb0e143e73ead0fc | 1,853 | py | Python | mscl_arfa/ena.py | neilswainston/mscl-arfa | f13f3bfe77285284fdd0fbe71513854e04d804dc | [
"MIT"
] | null | null | null | mscl_arfa/ena.py | neilswainston/mscl-arfa | f13f3bfe77285284fdd0fbe71513854e04d804dc | [
"MIT"
] | null | null | null | mscl_arfa/ena.py | neilswainston/mscl-arfa | f13f3bfe77285284fdd0fbe71513854e04d804dc | [
"MIT"
] | null | null | null | '''
SYNBIOCHEM (c) University of Manchester 2018
SYNBIOCHEM is licensed under the MIT License.
To view a copy of this license, visit <http://opensource.org/licenses/MIT/>.
@author: neilswainston
'''
import sys
from urllib.request import urlopen
import xml.sax
_RE = r'(\d+)\.\.(\d+)'
def get_start_end_comp(ena_i... | 23.455696 | 77 | 0.614679 | '''
SYNBIOCHEM (c) University of Manchester 2018
SYNBIOCHEM is licensed under the MIT License.
To view a copy of this license, visit <http://opensource.org/licenses/MIT/>.
@author: neilswainston
'''
import re
import sys
from urllib.request import urlopen
import xml.sax
_RE = r'(\d+)\.\.(\d+)'
class EnaHandler(xm... | 0 | 0 | 0 | 852 | 0 | 0 | 0 | -12 | 45 |
6f9ac45263f156c72864204c8ff94c441754b7d9 | 3,672 | py | Python | tests/classes.py | juliapochynok/LearnKorean_project | 60c53c1422379bbfc0fbba4c32f74105430326e8 | [
"Apache-2.0"
] | 1 | 2020-07-19T11:35:14.000Z | 2020-07-19T11:35:14.000Z | experiment/tests/classes.py | juliapochynok/LearnKorean_project | 60c53c1422379bbfc0fbba4c32f74105430326e8 | [
"Apache-2.0"
] | 1 | 2019-03-04T14:18:03.000Z | 2019-03-04T14:18:03.000Z | tests/classes.py | juliapochynok/LearnKorean_project | 60c53c1422379bbfc0fbba4c32f74105430326e8 | [
"Apache-2.0"
] | null | null | null |
def check_answer(answer, true_trans):
'''
'''
if answer == true_trans:
return True
else:
return False
if __name__ == "__main__":
a = WordController("julia_poch.txt")
print(a.write_to_file()) | 28.030534 | 81 | 0.512527 | from arrays import DynamicArray
import fileinput
import random
class WordController:
'''
'''
def __init__(self, fl):
self._file = fl
def read_from_file(self):
'''
'''
fl = open(self._file, "r")
learned_words_full = DynamicArray()
learned_words = DynamicA... | 0 | 0 | 0 | 3,326 | 0 | 0 | 0 | -3 | 112 |
9c213b5338d2a4d8ee0e5feaca5b9fe3d5562505 | 619 | py | Python | user.py | danielmcauley/wordle-chat-bot | 51ce76c1fddace79cee54d9a5335a2c71dcbffa0 | [
"MIT"
] | null | null | null | user.py | danielmcauley/wordle-chat-bot | 51ce76c1fddace79cee54d9a5335a2c71dcbffa0 | [
"MIT"
] | null | null | null | user.py | danielmcauley/wordle-chat-bot | 51ce76c1fddace79cee54d9a5335a2c71dcbffa0 | [
"MIT"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
| 24.76 | 66 | 0.644588 | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class User(db.Model):
__tablename__ = 'users'
id=db.Column(db.Integer, primary_key=True, autoincrement=True)
from_str=db.Column(db.String(32), unique=True)
answer=db.Column(db.String(32))
tries=db.Column(db.Integer)
def __repr__(self... | 0 | 0 | 0 | 537 | 0 | 0 | 0 | 0 | 23 |
6fe0915b7d68642ab32fccfaf4107b5da0477578 | 175 | py | Python | Ladders/L1/110A.py | Thulio-Carvalho/CP-Training | 41153222f6cc6315e35f809a38b831a37359e2c6 | [
"MIT"
] | null | null | null | Ladders/L1/110A.py | Thulio-Carvalho/CP-Training | 41153222f6cc6315e35f809a38b831a37359e2c6 | [
"MIT"
] | null | null | null | Ladders/L1/110A.py | Thulio-Carvalho/CP-Training | 41153222f6cc6315e35f809a38b831a37359e2c6 | [
"MIT"
] | null | null | null | num = raw_input()
cnt = 0
for c in num:
if c != '4' and c != '7': continue
cnt += 1
ans = 'YES'
for c in str(cnt):
if c != '4' and c != '7': ans = 'NO'
print ans | 15.909091 | 40 | 0.491429 | num = raw_input()
cnt = 0
for c in num:
if c != '4' and c != '7': continue
cnt += 1
ans = 'YES'
for c in str(cnt):
if c != '4' and c != '7': ans = 'NO'
print ans | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a2233aa354b610c677b4f8c6fd5725c70435971 | 8,281 | py | Python | gdb8_parallel.py | schrodinger/khan | 5b611cc378ab279079e191e3d6bba2ec39fed5db | [
"MIT"
] | 10 | 2019-12-13T01:32:42.000Z | 2022-03-16T18:29:54.000Z | gdb8_parallel.py | schrodinger/khan | 5b611cc378ab279079e191e3d6bba2ec39fed5db | [
"MIT"
] | null | null | null | gdb8_parallel.py | schrodinger/khan | 5b611cc378ab279079e191e3d6bba2ec39fed5db | [
"MIT"
] | 2 | 2018-07-09T21:38:08.000Z | 2020-04-10T16:02:32.000Z |
if __name__ == "__main__":
main()
| 35.238298 | 206 | 0.627702 | import os
import numpy as np
import time
import tensorflow as tf
import sklearn.model_selection
from khan.data.dataset import RawDataset
from khan.training.trainer_multi_tower import TrainerMultiTower, flatten_results, initialize_module
from data_utils import HARTREE_TO_KCAL_PER_MOL
from data_loaders import DataLoader... | 0 | 0 | 0 | 0 | 0 | 7,717 | 0 | 176 | 336 |
54173c67f74aa38a6f34b64143a9d3c73b32d49e | 5,895 | py | Python | benchmark/citation/trainable/cold_start_recall100/train_eval_cs.py | snubeaver/pytorch_geo | 6c533ebac29c08eafe9171eba470a6aaa09d1b45 | [
"MIT"
] | 2 | 2020-09-08T15:22:08.000Z | 2020-09-08T15:22:09.000Z | benchmark/citation/trainable/cold_start_recall100/train_eval_cs.py | snubeaver/pytorch_geo | 6c533ebac29c08eafe9171eba470a6aaa09d1b45 | [
"MIT"
] | null | null | null | benchmark/citation/trainable/cold_start_recall100/train_eval_cs.py | snubeaver/pytorch_geo | 6c533ebac29c08eafe9171eba470a6aaa09d1b45 | [
"MIT"
] | null | null | null | from __future__ import division
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
| 37.310127 | 284 | 0.622731 | from __future__ import division
import random
import time
import pdb
import torch
import torch.nn.functional as F
from torch_geometric.utils import to_dense_adj
from torch import tensor
from torch.optim import Adam
from train_edges import train_edges
from test_edges import test_edges
from negative_sampling import negat... | 2 | 0 | 0 | 0 | 0 | 5,173 | 0 | 201 | 402 |
b981a8d49dbc516334e7f952c1358b1f1f1b3580 | 10,310 | py | Python | Codegen/main.py | zhurongjun/FukoMath | 841db6f297c17c23e662925b422d0e2595691147 | [
"MIT"
] | 1 | 2022-03-10T16:02:09.000Z | 2022-03-10T16:02:09.000Z | Codegen/main.py | zhurongjun/FukoMath | 841db6f297c17c23e662925b422d0e2595691147 | [
"MIT"
] | null | null | null | Codegen/main.py | zhurongjun/FukoMath | 841db6f297c17c23e662925b422d0e2595691147 | [
"MIT"
] | null | null | null | import gen_test
import gen_swizzle
import gen_type
import gen_math
import gen_dependency
import config
import shutil
import sys
from pathlib import Path
# paths
codgen_root_dir = Path(__file__).parent
project_root_dir = codgen_root_dir.parent
cpp_root_dir = project_root_dir / "FukoMath"
test_root_dir = project_root_d... | 34.949153 | 140 | 0.625606 | import gen_test
from types import FunctionType
from typing import List
import gen_swizzle
import gen_type
import gen_math
import gen_dependency
import config
import shutil
import sys
import codegen_util as util
from pathlib import Path
# paths
codgen_root_dir = Path(__file__).parent
project_root_dir = codgen_root_dir... | 0 | 0 | 0 | 0 | 0 | 127 | 0 | 17 | 112 |
d4eace8e97fd747a31b9d3d37aa1a565033e36c5 | 2,302 | py | Python | 2021/day15/day15.py | mdelmage/advent2019 | eae18fd8010c9816b22578d6eb8988139aef131d | [
"MIT"
] | 2 | 2020-12-02T20:44:33.000Z | 2020-12-09T23:35:35.000Z | 2021/day15/day15.py | mdelmage/advent2019 | eae18fd8010c9816b22578d6eb8988139aef131d | [
"MIT"
] | null | null | null | 2021/day15/day15.py | mdelmage/advent2019 | eae18fd8010c9816b22578d6eb8988139aef131d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
NEIGHBORS = [(1, 0), (-1, 0), (0, 1), (0, -1)]
BIG_RISK = 12345678
LOL_ITERATIONS = 10
# Parse the risk level map file
with open('day15_input.txt') as f:
lines = [line.rstrip('\n') for line in f]
# Generate the risk lookup table (dict).
risk = {}
for y in range(len(line... | 39.016949 | 103 | 0.657689 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
NEIGHBORS = [(1, 0), (-1, 0), (0, 1), (0, -1)]
BIG_RISK = 12345678
LOL_ITERATIONS = 10
def navigate(grid):
# You start in the top left position, your destination is the bottom right position,
# and you cannot move diagonally. The number at each position is its risk leve... | 0 | 0 | 0 | 0 | 0 | 1,016 | 0 | 0 | 23 |
1cd0df9f574b8be0571f6810b0b77b90b4d6dd59 | 111 | py | Python | main.py | renowned-virat/testrepo | ffbe479cc68cac89f52c9a82562e7f9edf8e1581 | [
"MIT"
] | null | null | null | main.py | renowned-virat/testrepo | ffbe479cc68cac89f52c9a82562e7f9edf8e1581 | [
"MIT"
] | null | null | null | main.py | renowned-virat/testrepo | ffbe479cc68cac89f52c9a82562e7f9edf8e1581 | [
"MIT"
] | null | null | null | num=int(input("enter the number:-"))
if(num%2==0):
print("Number is even")
else:
print("Number is odd") | 22.2 | 36 | 0.621622 | num=int(input("enter the number:-"))
if(num%2==0):
print("Number is even")
else:
print("Number is odd") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d4dc1e4db3c0c023f493957e2b0555872719ed70 | 7,639 | py | Python | PlotMonteCalorsConvergence.py | ggzhang0071/pytorch_geometric-1 | 80717cec2abfa6ff0951834cf4d7b1641b7952b1 | [
"MIT"
] | null | null | null | PlotMonteCalorsConvergence.py | ggzhang0071/pytorch_geometric-1 | 80717cec2abfa6ff0951834cf4d7b1641b7952b1 | [
"MIT"
] | null | null | null | PlotMonteCalorsConvergence.py | ggzhang0071/pytorch_geometric-1 | 80717cec2abfa6ff0951834cf4d7b1641b7952b1 | [
"MIT"
] | null | null | null | from matplotlib.colors import ListedColormap
import matplotlib as mpl
"""
print(mpl.rcParmas)
mpl.rcParmas['font.family']="Times New Roman"
mpl.rcParmas['lines.width']=2
mpl.rcParmas['figure.figsize']=8,6"""
colors=[(248/255,25/255,25/255),(40/255,172/255,82/255),(161/255,80/255,159/255),(0/255,127/255,182/255)]
#col... | 49.283871 | 187 | 0.604006 | import numpy as np
import matplotlib.pyplot as plt
import os,glob
from matplotlib.colors import ListedColormap
import matplotlib as mpl
import pdb
"""
print(mpl.rcParmas)
mpl.rcParmas['font.family']="Times New Roman"
mpl.rcParmas['lines.width']=2
mpl.rcParmas['figure.figsize']=8,6"""
colors=[(248/255,25/255,25/255),(... | 0 | 0 | 0 | 0 | 0 | 6,957 | 0 | -11 | 111 |
d9319847024460224159a568699a4cf7af17a520 | 1,649 | py | Python | Text_Classification/src/predict_text.py | AlexCubo/Spiced_Projects | 9fb9a744f397a9e5142646cf3619c1c969ee428d | [
"MIT"
] | null | null | null | Text_Classification/src/predict_text.py | AlexCubo/Spiced_Projects | 9fb9a744f397a9e5142646cf3619c1c969ee428d | [
"MIT"
] | null | null | null | Text_Classification/src/predict_text.py | AlexCubo/Spiced_Projects | 9fb9a744f397a9e5142646cf3619c1c969ee428d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 6 19:18:30 2021
@author: cubo
"""
import argparse
import pandas as pd
import pickle
import sys
parser = argparse.ArgumentParser(description='options: cl, tl, cr, tr')
parser.add_argument("vec_mod_switcher", help=
'cl: countVec... | 29.981818 | 97 | 0.622195 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 6 19:18:30 2021
@author: cubo
"""
import argparse
import pandas as pd
import pickle
import sys
parser = argparse.ArgumentParser(description='options: cl, tl, cr, tr')
parser.add_argument("vec_mod_switcher", help=
'cl: countVec... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bcb9885159f88e97cdfb384cd4fbcf706a726296 | 2,927 | py | Python | shebang.py | Saevon/config-Sublime | 91417d02554b89cd322d16940f59d0dd781c8001 | [
"MIT"
] | null | null | null | shebang.py | Saevon/config-Sublime | 91417d02554b89cd322d16940f59d0dd781c8001 | [
"MIT"
] | null | null | null | shebang.py | Saevon/config-Sublime | 91417d02554b89cd322d16940f59d0dd781c8001 | [
"MIT"
] | null | null | null | # !/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
# Shows all the vi marks that exist
#
SYNTAX_FILE_EXTENSIONS = [
'.tmLanguage',
'.sublime-syntax',
]
| 29.27 | 109 | 0.583874 | # !/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
# Shows all the vi marks that exist
#
import os
import re
import sublime
import sublime_plugin
class ShebangSyntaxListener(sublime_plugin.EventListener):
def on_load(self, view):
view.run_command('shebang_syntax')
def on_post_save(self, view):
... | 0 | 0 | 0 | 2,483 | 153 | 0 | 0 | -31 | 158 |
f029d8b61cbf9a40a4408076b58ec2f21a94cc4a | 763 | py | Python | leetcode/1143_LongestCommonSubsequence.py | CoodingPenguin/algorithm-c-sharp | d30985f79b450e876eba6eae732a629cbe55accf | [
"MIT"
] | 1 | 2021-08-05T11:02:59.000Z | 2021-08-05T11:02:59.000Z | leetcode/1143_LongestCommonSubsequence.py | CoodingPenguin/problem-solving | d30985f79b450e876eba6eae732a629cbe55accf | [
"MIT"
] | null | null | null | leetcode/1143_LongestCommonSubsequence.py | CoodingPenguin/problem-solving | d30985f79b450e876eba6eae732a629cbe55accf | [
"MIT"
] | null | null | null | # : 1143. Longest Common Subsequence
# : https://leetcode.com/problems/longest-common-subsequence/
# /: 392ms / 21.9MB
| 40.157895 | 81 | 0.49017 | # 문제: 1143. Longest Common Subsequence
# 링크: https://leetcode.com/problems/longest-common-subsequence/
# 시간/공간: 392ms / 21.9MB
class Solution:
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
table = [[0] * (len(text2) + 1) for _ in range(len(text1) + 1)] # DP 테이블
for i in range... | 159 | 0 | 0 | 567 | 0 | 0 | 0 | 0 | 22 |
72ba6fcac9507c759a00504aa0171118137433da | 201 | py | Python | ExPython/CursoemVideo/ex007.py | MatheusEwen/Exercicios_Do_CursoDePython | 7c21f95f0d31ec1e6c17e1b957c1442843118c48 | [
"MIT"
] | 1 | 2020-10-06T00:27:05.000Z | 2020-10-06T00:27:05.000Z | ExPython/CursoemVideo/ex007.py | MatheusEwen/Exercicios_Do_CursoDePython | 7c21f95f0d31ec1e6c17e1b957c1442843118c48 | [
"MIT"
] | null | null | null | ExPython/CursoemVideo/ex007.py | MatheusEwen/Exercicios_Do_CursoDePython | 7c21f95f0d31ec1e6c17e1b957c1442843118c48 | [
"MIT"
] | null | null | null | nota1 = float(input('digite as notas no aluno para tirar a media, nota 1:'))
nota2 = float(input('nota 2:'))
media = ((nota1+nota2)/2)
print('A media do aluno nesse bimestre foi {:.1f}'.format(media))
| 40.2 | 76 | 0.686567 | nota1 = float(input('digite as notas no aluno para tirar a media, nota 1:'))
nota2 = float(input('nota 2:'))
media = ((nota1+nota2)/2)
print('A media do aluno nesse bimestre foi {:.1f}'.format(media))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9be9ebe0fb50699bddd9ee687c556c965ce40370 | 1,315 | py | Python | ietf/group/migrations/0032_add_meeting_seen_as_area.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 25 | 2022-03-05T08:26:52.000Z | 2022-03-30T15:45:42.000Z | ietf/group/migrations/0032_add_meeting_seen_as_area.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 219 | 2022-03-04T17:29:12.000Z | 2022-03-31T21:16:14.000Z | ietf/group/migrations/0032_add_meeting_seen_as_area.py | hassanakbar4/ietfdb | cabee059092ae776015410640226064331c293b7 | [
"BSD-3-Clause"
] | 22 | 2022-03-04T15:34:34.000Z | 2022-03-28T13:30:59.000Z | # Copyright The IETF Trust 2020', 'All Rights Reserved
# -*- coding: utf-8 -*-
# Generated by Django 1.11.27 on 2020-02-12 07:11
from __future__ import unicode_literals
| 34.605263 | 151 | 0.674525 | # Copyright The IETF Trust 2020', 'All Rights Reserved
# -*- coding: utf-8 -*-
# Generated by Django 1.11.27 on 2020-02-12 07:11
from __future__ import unicode_literals
from django.db import migrations, models
def forward(apps, schema_editor):
Group = apps.get_model('group', 'Group')
initial_area_groups = ['... | 0 | 0 | 0 | 706 | 0 | 322 | 0 | 19 | 92 |
2b21df34e27b6cae40de1bd0e53d650cf9269120 | 1,588 | py | Python | util/create_averageSubmission.py | hong2223/traffic4cast2020 | 767af3714dcfef529f514bf253ef7aa8b3a00203 | [
"Apache-2.0"
] | null | null | null | util/create_averageSubmission.py | hong2223/traffic4cast2020 | 767af3714dcfef529f514bf253ef7aa8b3a00203 | [
"Apache-2.0"
] | null | null | null | util/create_averageSubmission.py | hong2223/traffic4cast2020 | 767af3714dcfef529f514bf253ef7aa8b3a00203 | [
"Apache-2.0"
] | 1 | 2021-11-01T12:08:48.000Z | 2021-11-01T12:08:48.000Z | import numpy as np
import torch
import h5py
import sys, os, glob
from tqdm import tqdm
sys.path.append(os.getcwd())
def load_h5_file(file_path):
"""
Given a file path to an h5 file assumed to house a tensor,
load that tensor into memory and return a pointer.
"""
# load
fr = h5py.File(file_pat... | 29.962264 | 110 | 0.634131 | import numpy as np
import torch
import h5py
from pathlib import Path
import pickle
import sys, os, glob
import datetime as dt
from tqdm import tqdm
sys.path.append(os.getcwd())
def load_h5_file(file_path):
"""
Given a file path to an h5 file assumed to house a tensor,
load that tensor into memory and ret... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 66 |
ed4286154da441d2d03ec134cc65f2d91a18db26 | 115 | py | Python | abc/180/a.py | smallkirby/procon | 83cc56bf078c99a14a05b1254ea37da1cdf20de7 | [
"Unlicense"
] | null | null | null | abc/180/a.py | smallkirby/procon | 83cc56bf078c99a14a05b1254ea37da1cdf20de7 | [
"Unlicense"
] | null | null | null | abc/180/a.py | smallkirby/procon | 83cc56bf078c99a14a05b1254ea37da1cdf20de7 | [
"Unlicense"
] | null | null | null | from sys import stdin
N,A,B = [int(x) for x in stdin.readline().rstrip().split(" ")]
print(N-A+B) | 23 | 62 | 0.678261 | import itertools
from sys import stdin
N,A,B = [int(x) for x in stdin.readline().rstrip().split(" ")]
print(N-A+B) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 22 |
236b35d6d32ee414e57443cf2cfc4813a2fae10f | 8,093 | py | Python | field_properties/field_properties.py | wyfo/field-properties | 5f956fa42e31f5f58aacf3f2e72005dcecf76dde | [
"MIT"
] | 1 | 2021-04-26T10:22:28.000Z | 2021-04-26T10:22:28.000Z | field_properties/field_properties.py | wyfo/field-properties | 5f956fa42e31f5f58aacf3f2e72005dcecf76dde | [
"MIT"
] | null | null | null | field_properties/field_properties.py | wyfo/field-properties | 5f956fa42e31f5f58aacf3f2e72005dcecf76dde | [
"MIT"
] | null | null | null | import dataclasses
from typing import Any, Callable, TypeVar
FGetType = Callable[[Any], Any]
FSetType = Callable[[Any, Any], None]
FDelType = Callable[[Any], None]
FGet = TypeVar("FGet", bound=FGetType)
FSet = TypeVar("FSet", bound=FSetType)
FDel = TypeVar("FDel", bound=FDelType)
FSET_ATTRIBUTE = "_field_properties_... | 33.861925 | 88 | 0.616953 | import dataclasses
from collections.abc import Mapping
from functools import wraps
from typing import Any, Callable, Optional, TypeVar, overload
FGetType = Callable[[Any], Any]
FSetType = Callable[[Any, Any], None]
FDelType = Callable[[Any], None]
FGet = TypeVar("FGet", bound=FGetType)
FSet = TypeVar("FSet", bound=FS... | 0 | 1,736 | 0 | 4,558 | 0 | 331 | 0 | 40 | 205 |
391e48ae7b56c612b78b706e1269861459d79058 | 22 | py | Python | numl/plot/__init__.py | alexandraday-nu/pynuml | 3a71855015099289f0f4a7d24df6f8517bd9102b | [
"Apache-2.0"
] | 1 | 2021-10-16T04:28:46.000Z | 2021-10-16T04:28:46.000Z | numl/plot/__init__.py | alexandraday-nu/pynuml | 3a71855015099289f0f4a7d24df6f8517bd9102b | [
"Apache-2.0"
] | 1 | 2021-08-30T12:21:39.000Z | 2021-08-31T16:31:44.000Z | numl/plot/__init__.py | alexandraday-nu/pynuml | 3a71855015099289f0f4a7d24df6f8517bd9102b | [
"Apache-2.0"
] | 2 | 2021-08-29T00:06:12.000Z | 2021-08-30T15:02:47.000Z | __all__ = [ "graph" ]
| 11 | 21 | 0.545455 | __all__ = [ "graph" ]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7ff426eef296ed6365e5bd8d3121bd7cd4877274 | 3,824 | py | Python | blebox/cover.py | gralin/home-assistant-blebox | 91e6528fd6b9528bc90492f59ed3651e2526a381 | [
"Apache-2.0"
] | 2 | 2020-04-06T16:21:15.000Z | 2020-05-03T14:15:37.000Z | blebox/cover.py | gralin/home-assistant-blebox | 91e6528fd6b9528bc90492f59ed3651e2526a381 | [
"Apache-2.0"
] | 2 | 2020-05-09T13:45:02.000Z | 2021-02-22T11:47:25.000Z | blebox/cover.py | gralin/home-assistant-blebox | 91e6528fd6b9528bc90492f59ed3651e2526a381 | [
"Apache-2.0"
] | 1 | 2020-05-02T22:51:44.000Z | 2020-05-02T22:51:44.000Z | """BleBox cover entity."""
import logging
_LOGGER = logging.getLogger(__name__)
| 28.537313 | 79 | 0.627092 | """BleBox cover entity."""
import logging
from homeassistant.components.cover import (
ATTR_POSITION,
DEVICE_CLASS_DOOR,
DEVICE_CLASS_SHUTTER,
STATE_CLOSED,
STATE_CLOSING,
STATE_OPEN,
STATE_OPENING,
SUPPORT_CLOSE,
SUPPORT_OPEN,
SUPPORT_SET_POSITION,
SUPPORT_STOP,
CoverD... | 0 | 1,819 | 959 | 506 | 0 | 0 | 0 | 318 | 137 |
2b756c4c8de4e4794ce9137bcba1b7e431700d56 | 1,841 | py | Python | kora/install/es7.py | nguyenthanhasia/kora | 555ee4d2559ae5b08eaee3e55cc6706a7166de0d | [
"MIT"
] | 91 | 2020-05-26T05:54:51.000Z | 2022-03-09T07:33:44.000Z | kora/install/es7.py | noirquant/kora | 1ac2f0a1a6e503743eaadffd3fb2d3fd1c4f49ef | [
"MIT"
] | 12 | 2020-10-03T10:09:11.000Z | 2021-03-06T23:12:21.000Z | kora/install/es7.py | noirquant/kora | 1ac2f0a1a6e503743eaadffd3fb2d3fd1c4f49ef | [
"MIT"
] | 16 | 2020-07-07T18:39:29.000Z | 2021-03-06T03:46:49.000Z | import os
import requests
from subprocess import Popen, PIPE, STDOUT
# download server
ver = '7.9.2'
url = f'https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{ver}-linux-x86_64.tar.gz'
os.system(f"curl {url} | tar xz")
os.system(f"chown -R daemon:daemon elasticsearch-{ver}")
# start server
es_serv... | 31.20339 | 101 | 0.636611 | import os
import re
import requests
from subprocess import Popen, PIPE, STDOUT
from IPython.core.magic import register_cell_magic
from urllib.parse import urljoin
# download server
ver = '7.9.2'
url = f'https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{ver}-linux-x86_64.tar.gz'
os.system(f"curl {ur... | 0 | 528 | 0 | 0 | 0 | 472 | 0 | 28 | 110 |
9f9953c289828b146a55d2ba8348eda1cdda5af6 | 4,922 | py | Python | mlrepricer/oldsql/database.py | elcolumbio/mlrepricer | a3bec00179b7028731793c9b3fae0eb9b9c68ad2 | [
"Apache-2.0"
] | 9 | 2018-05-17T16:42:34.000Z | 2021-03-08T06:59:09.000Z | mlrepricer/oldsql/database.py | elcolumbio/mlrepricer | a3bec00179b7028731793c9b3fae0eb9b9c68ad2 | [
"Apache-2.0"
] | 6 | 2018-05-18T11:04:24.000Z | 2018-06-22T04:56:56.000Z | mlrepricer/oldsql/database.py | elcolumbio/mlrepricer | a3bec00179b7028731793c9b3fae0eb9b9c68ad2 | [
"Apache-2.0"
] | 3 | 2018-05-17T16:42:36.000Z | 2020-03-23T06:53:30.000Z | # -*- coding: utf-8 - *-
"""
Abstracts your target from your table definitions target and you can use it.
Example how you inherit from it.
def saletaxdoo(target):
class SaleTaxdoo(target):
"A table definition."
def __init__(self):
super().__init__()
self.table = 'taxdoo_sale... | 34.907801 | 79 | 0.61987 | # -*- coding: utf-8 - *-
"""
Abstracts your target from your table definitions target and you can use it.
Example how you inherit from it.
def saletaxdoo(target):
class SaleTaxdoo(target):
"A table definition."
def __init__(self):
super().__init__()
self.table = 'taxdoo_sale... | 0 | 2,379 | 0 | 1,826 | 0 | 0 | 0 | 63 | 136 |
d3aedf3194f7e0151c4a79c585ace821acb051ce | 5,883 | py | Python | device_e2e/aio/retry_async.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"MIT"
] | null | null | null | device_e2e/aio/retry_async.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"MIT"
] | null | null | null | device_e2e/aio/retry_async.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"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.
import logging
import random
import threading
logger = logging.getLogger(__name__)
logger.setLevel(level=logging.INFO)
# --------------------------------------
#... | 32.683333 | 99 | 0.63182 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
import asyncio
import logging
import random
import threading
import time
from azure.iot.device.exceptions import (
ConnectionFailedError,
ConnectionDropped... | 0 | 0 | 3,102 | 0 | 0 | 0 | 0 | 107 | 89 |
04319722250081f529fc399f5f895e547b094b38 | 3,316 | py | Python | docs/conf.py | lilab-bcb/pegasus-tutorials | 569da059fba0ab4e8337ded0518ad289f46499dc | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | lilab-bcb/pegasus-tutorials | 569da059fba0ab4e8337ded0518ad289f46499dc | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | lilab-bcb/pegasus-tutorials | 569da059fba0ab4e8337ded0518ad289f46499dc | [
"BSD-3-Clause"
] | null | null | null | # -- Project information -----------------------------------------------------
project = "Pegasus Tutorials"
copyright = "2020 - 2022 The Broad Institute, Inc. and Genentech, Inc. All rights reserved."
author = (
"Yiming Yang, Joshua Gould and Bo Li"
)
# The short X.Y version
version = ""
# The full version, incl... | 32.194175 | 92 | 0.688782 | # -- Project information -----------------------------------------------------
project = "Pegasus Tutorials"
copyright = "2020 - 2022 The Broad Institute, Inc. and Genentech, Inc. All rights reserved."
author = (
"Yiming Yang, Joshua Gould and Bo Li"
)
# The short X.Y version
version = ""
# The full version, incl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d579bc3b9c17de518359ec15a1ff3c827d8ee7d3 | 9,592 | py | Python | rmonitor/common/messages.py | krisneuharth/race_monitor | c3381bd7da4ac2c8637957f7fc354653437aa469 | [
"MIT"
] | null | null | null | rmonitor/common/messages.py | krisneuharth/race_monitor | c3381bd7da4ac2c8637957f7fc354653437aa469 | [
"MIT"
] | 8 | 2017-11-14T20:40:02.000Z | 2017-11-26T05:56:32.000Z | rmonitor/common/messages.py | krisneuharth/race_monitor | c3381bd7da4ac2c8637957f7fc354653437aa469 | [
"MIT"
] | null | null | null |
#############
# Helpers
#############
MESSAGE_TYPES = {
# Documented...
"$A": CompetitorInformationMessage,
"$B": RunInformationMessage,
"$C": ClassInformationMessage,
"$COMP": CompInformationMessage,
"$E": SettingInformationMessage,
"$F": HeartbeatMessage,
... | 24.222222 | 78 | 0.544516 | from rmonitor.common.helpers import Duration
class HeartbeatMessage(object):
def __init__(self, fields):
self.type = '$F'
# Number of laps to go
# (0 - 99999)
self.laps_to_go = fields[0]
# Time until the session ends
# ("HH:MM:SS")
self.time_to_go = Durat... | 0 | 0 | 0 | 8,629 | 0 | 0 | 0 | 23 | 275 |
b2cb70bd08148209b4bf2ad543406aaaf13c4e92 | 5,757 | py | Python | mcthings/scene.py | acs/mcthings | 2b7f6a1ffbbb749496063444e9802df18e0f2047 | [
"Apache-2.0"
] | 41 | 2020-06-29T08:45:34.000Z | 2022-02-24T10:49:41.000Z | mcthings/scene.py | acs/mcthings | 2b7f6a1ffbbb749496063444e9802df18e0f2047 | [
"Apache-2.0"
] | 98 | 2020-04-12T08:03:23.000Z | 2020-06-29T05:54:29.000Z | mcthings/scene.py | acs/mcthings | 2b7f6a1ffbbb749496063444e9802df18e0f2047 | [
"Apache-2.0"
] | 8 | 2020-11-06T09:52:39.000Z | 2022-01-30T11:48:48.000Z | # Licensed under the terms of http://www.apache.org/licenses/LICENSE-2.0
# Author (): Alvaro del Castillo
# TODO: at some point this must be a real Singleton
| 31.983333 | 83 | 0.61612 | # Licensed under the terms of http://www.apache.org/licenses/LICENSE-2.0
# Author (©): Alvaro del Castillo
# TODO: at some point this must be a real Singleton
import pickle
from mcpi.vec3 import Vec3
from mcthings.blocks_memory import BlocksMemory
from mcthings.utils import build_schematic_nbt
from mcthings.world im... | 2 | 180 | 0 | 5,222 | 0 | 0 | 0 | 59 | 135 |
f0680b7d9c9a21d9104edc805d1ac3caf152d7b2 | 9,389 | py | Python | argdoc.py | chriskiehl/ArgDoc | fcea15a919c45cfc77a4326ea78bcea0ae91a019 | [
"MIT"
] | 12 | 2015-03-07T22:21:12.000Z | 2021-11-08T11:42:51.000Z | argdoc.py | chriskiehl/ArgDoc | fcea15a919c45cfc77a4326ea78bcea0ae91a019 | [
"MIT"
] | 1 | 2018-02-06T22:59:18.000Z | 2018-02-06T22:59:18.000Z | argdoc.py | chriskiehl/ArgDoc | fcea15a919c45cfc77a4326ea78bcea0ae91a019 | [
"MIT"
] | 3 | 2015-12-13T18:34:30.000Z | 2021-12-30T20:27:56.000Z | '''
Note: below code is 100 percent trial and error. I have no idea how
ast is actually supposed to be used. I brute forced this one with the
dir() function and a lot of patience.
Proceed with caution.
The basic idea is to
a. find the index of the Argparse.ArgumentParser assignment in the code
b. f... | 28.365559 | 101 | 0.681968 | '''
Note: below code is 100 percent trial and error. I have no idea how
ast is actually supposed to be used. I brute forced this one with the
dir() function and a lot of patience.
Proceed with caution.
The basic idea is to
a. find the index of the Argparse.ArgumentParser assignment in the code
b. f... | 0 | 0 | 0 | 92 | 0 | 4,887 | 0 | -16 | 531 |
7652c938c11499df7eff3dd6f2928981b7de68eb | 2,392 | py | Python | python_javascript/python/run_sqlalchemy.py | SnowMasaya/python-viasualize | 8259f227462687dc87d3cdeece45848c677a57d4 | [
"Unlicense",
"MIT"
] | null | null | null | python_javascript/python/run_sqlalchemy.py | SnowMasaya/python-viasualize | 8259f227462687dc87d3cdeece45848c677a57d4 | [
"Unlicense",
"MIT"
] | null | null | null | python_javascript/python/run_sqlalchemy.py | SnowMasaya/python-viasualize | 8259f227462687dc87d3cdeece45848c677a57d4 | [
"Unlicense",
"MIT"
] | null | null | null | from sqlalchemy.orm import sessionmaker
# from winner import Winner
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
nobel_winners = [
{'category': 'Physics',
'name': 'Albert Einstein',
'nationality': 'Swiss',
'sex': 'male',
'ye... | 25.72043 | 71 | 0.670569 | from sqlalchemy.orm import sessionmaker
# from winner import Winner
from sqlalchemy import Column, Integer, String, Enum
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
nobel_winners = [
{'category': 'Physics',
'name': 'Albert Einstein',
... | 0 | 0 | 0 | 373 | 0 | 182 | 0 | 31 | 68 |
c788d7cdbcc77b949c6898a12a89b86e1218178e | 9,670 | py | Python | pymatgen/io/abinitio/netcdf.py | NadezhdaBzhilyanskaya/pymatgen | fae11a8142d457a649fa84ff9781eb2b39334bdc | [
"MIT"
] | null | null | null | pymatgen/io/abinitio/netcdf.py | NadezhdaBzhilyanskaya/pymatgen | fae11a8142d457a649fa84ff9781eb2b39334bdc | [
"MIT"
] | null | null | null | pymatgen/io/abinitio/netcdf.py | NadezhdaBzhilyanskaya/pymatgen | fae11a8142d457a649fa84ff9781eb2b39334bdc | [
"MIT"
] | null | null | null | """Wrapper for netCDF readers."""
from __future__ import division, print_function
from pymatgen.core.units import ArrayWithUnit
from pymatgen.core.structure import Structure
__author__ = "Matteo Giantomassi"
__copyright__ = "Copyright 2013, The Materials Project"
__version__ = "0.1"
__maintainer__ = "Matteo Giantoma... | 30.21875 | 96 | 0.595553 | """Wrapper for netCDF readers."""
from __future__ import division, print_function
import os.path
from pymatgen.core.units import ArrayWithUnit
from pymatgen.core.structure import Structure
from monty.dev import requires
__author__ = "Matteo Giantomassi"
__copyright__ = "Copyright 2013, The Materials Project"
__vers... | 0 | 1,031 | 0 | 5,793 | 0 | 166 | 0 | 2 | 160 |
dbf198b7aa8c20abfadb40fb4b4f9803ea87f610 | 1,033 | py | Python | fastmsa/test/e2e.py | abhan00/fastana | 46f90832d8e24185619292f76cbd1b3ce73f2dae | [
"Apache-2.0"
] | 1 | 2021-05-01T13:44:44.000Z | 2021-05-01T13:44:44.000Z | fastmsa/test/e2e.py | abhan00/fastana | 46f90832d8e24185619292f76cbd1b3ce73f2dae | [
"Apache-2.0"
] | 9 | 2021-04-17T03:22:56.000Z | 2021-05-12T16:40:53.000Z | fastmsa/test/e2e.py | abhan00/fastana | 46f90832d8e24185619292f76cbd1b3ce73f2dae | [
"Apache-2.0"
] | null | null | null | """E2E ."""
def check_port_opened(port: int):
"""e2e ."""
import socket
a_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
location = ("127.0.0.1", port)
result_of_check = a_socket.connect_ex(location)
if result_of_check == 0:
return True
... | 24.595238 | 64 | 0.658277 | """E2E 테스트 모듈입니다."""
from collections import defaultdict
from fastmsa.core import AbstractPubsubClient
def check_port_opened(port: int):
"""e2e 테스트를 위해 포트 오픈 여부를 체크합니다."""
import socket
a_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
location = ("127.0.0.1", port)
r... | 78 | 0 | 167 | 339 | 0 | 0 | 0 | 38 | 68 |
728d8a694d4b21c4c1082be2cfaa19ea53ea9f5d | 14,435 | py | Python | scripts/pyBlast.py | Redmar-van-den-Berg/HiFi-assembly | d07c5f7610b5a7202d662659d43dc4650e283a6c | [
"MIT"
] | 2 | 2021-11-24T15:13:56.000Z | 2021-12-08T16:13:47.000Z | scripts/pyBlast.py | Redmar-van-den-Berg/HiFi-assembly | d07c5f7610b5a7202d662659d43dc4650e283a6c | [
"MIT"
] | null | null | null | scripts/pyBlast.py | Redmar-van-den-Berg/HiFi-assembly | d07c5f7610b5a7202d662659d43dc4650e283a6c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Author: Redmar van den Berg
# Copyright: 2017-2018 NVWA
#
# NVWA: Nederlandse Voedsel- en Warenautoriteit
# Netherlands Food and Consumer Product Safety Authority
# https://english.nvwa.nl/
#
# Licence: GPLv3
import sys
from Bio.Blast.Applications import NcbiblastnCommandline
def _minmax(... | 36.918159 | 86 | 0.592657 | #!/usr/bin/env python3
# Author: Redmar van den Berg
# Copyright: 2017-2018 NVWA
#
# NVWA: Nederlandse Voedsel- en Warenautoriteit
# Netherlands Food and Consumer Product Safety Authority
# https://english.nvwa.nl/
#
# Licence: GPLv3
import os
import sys
import subprocess
import shutil
import tempfile
import unittest... | 0 | 4,690 | 0 | 7,968 | 0 | 0 | 0 | -8 | 357 |
13e2a31f98421eef7ffaa8ed81e070394373c409 | 865 | py | Python | CISSL_cls/lib/algs/pseudo_label.py | MinsungHyun/Class-Imbalanced-Semi-Supervsied-Learning | fed14a47fa4dda8a72e8f606ad9a21922b4f7ba4 | [
"MIT"
] | 4 | 2021-09-28T09:23:10.000Z | 2022-03-14T11:51:23.000Z | CISSL_cls/lib/algs/pseudo_label.py | MinsungHyun/Class-Imbalanced-Semi-Supervsied-Learning | fed14a47fa4dda8a72e8f606ad9a21922b4f7ba4 | [
"MIT"
] | null | null | null | CISSL_cls/lib/algs/pseudo_label.py | MinsungHyun/Class-Imbalanced-Semi-Supervsied-Learning | fed14a47fa4dda8a72e8f606ad9a21922b4f7ba4 | [
"MIT"
] | null | null | null | import torch.nn as nn
| 34.6 | 83 | 0.620809 | import torch
import torch.nn as nn
import torch.nn.functional as F
class PL(nn.Module):
def __init__(self, threshold):
super().__init__()
self.th = threshold
def forward(self, x, y, model, mask):
y_probs = y.softmax(1)
onehot_label = self.__make_one_hot(y_probs.max(1)[1], y.siz... | 0 | 0 | 0 | 775 | 0 | 0 | 0 | 1 | 67 |