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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bcc4fcfb44a442a2523238a8484bf80417464006 | 5,084 | py | Python | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | 2 | 2018-12-20T05:40:43.000Z | 2018-12-20T05:59:58.000Z | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | null | null | null | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | 1 | 2018-11-27T08:50:51.000Z | 2018-11-27T08:50:51.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""Tests that the seccomp filters don't let blacklisted syscalls through."""
import os
from subprocess import run
import pytest
import host_tools.cargo_build as host # pylint:disable=import-error
def... | 29.387283 | 79 | 0.696302 |
bcc54625026e4e77ba54fe67d05a342fde131c90 | 185 | py | Python | cluster/density/test.py | michealowen/MachingLearning | 9dcc908f2d3e468390e5abb7f051b449b0ecb455 | [
"Apache-2.0"
] | 2 | 2019-09-11T07:02:25.000Z | 2020-12-17T10:40:02.000Z | cluster/density/test.py | michealowen/MachingLearning | 9dcc908f2d3e468390e5abb7f051b449b0ecb455 | [
"Apache-2.0"
] | null | null | null | cluster/density/test.py | michealowen/MachingLearning | 9dcc908f2d3e468390e5abb7f051b449b0ecb455 | [
"Apache-2.0"
] | null | null | null |
aa = a(1)
aa.go() | 12.333333 | 26 | 0.475676 |
bcc5a1b4f97e4fd31b1d8727fc7f8a5dcff9e43e | 566,013 | py | Python | REM/Tool/IDA 7.3/python/ida_hexrays.py | dodieboy/Np_class | af9ec993eda3c1e2bf70257c8384696bb64a5e9d | [
"MIT"
] | null | null | null | REM/Tool/IDA 7.3/python/ida_hexrays.py | dodieboy/Np_class | af9ec993eda3c1e2bf70257c8384696bb64a5e9d | [
"MIT"
] | null | null | null | REM/Tool/IDA 7.3/python/ida_hexrays.py | dodieboy/Np_class | af9ec993eda3c1e2bf70257c8384696bb64a5e9d | [
"MIT"
] | 2 | 2021-03-30T00:46:58.000Z | 2021-12-12T23:41:12.000Z | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
"""
IDA Plugin SDK API wrapper: hexrays
"""
from sys import version_info
if version_info >= (2,6,0):
_ida_h... | 29.641948 | 603 | 0.637696 |
bcc6795e9da5c859c6308d7dfd37a7f5806dbb41 | 3,714 | py | Python | webapp/gen_graphs.py | bfitzy2142/NET4901-SP | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | 3 | 2019-08-04T03:09:02.000Z | 2020-06-08T15:48:36.000Z | webapp/gen_graphs.py | bfitzy2142/NET4901-SP | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | 3 | 2019-09-06T08:30:21.000Z | 2020-06-30T03:24:56.000Z | webapp/gen_graphs.py | bfitzy2142/NET4901-SP-SDLENS | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
@author: Sam Cook
MySql Parser for graphical presentation
"""
import mysql.connector
import datetime
from mysql.connector import Error
from datetime import datetime, timedelta
import json
| 34.71028 | 72 | 0.53608 |
bcca1a19ecd367ba4725d3ef774b347cae61be62 | 830 | py | Python | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | # test_fluxqubit.py
# meant to be run with 'pytest'
#
# This file is part of scqubits.
#
# Copyright (c) 2019 and later, Jens Koch and Peter Groszkowski
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
... | 28.62069 | 76 | 0.622892 |
bcca9310b776373045a4dd0e28575a2063a3d591 | 1,379 | py | Python | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
patPFParticles = cms.EDProducer("PATPFParticleProducer",
# General configurables
pfCandidateSource = cms.InputTag("noJet"),
# MC matching configurables
addGenMatch = cms.bool(False),
genParticleMatch = cms.InputTag(""), ## particles source to be used for ... | 29.340426 | 106 | 0.585207 |
bccb37cf2799cc964344db7c5cf679594dae2889 | 2,252 | py | Python | tests/test_api.py | ines/spacy-js | 5b7a86cb0d1099285e01252f7e1d44a36ad9a07f | [
"MIT"
] | 141 | 2018-10-27T17:18:54.000Z | 2022-03-31T11:08:02.000Z | tests/test_api.py | Fabulabs/spacy-js | c7a34298203d26b25f9eb1f6b9eb875faa33d144 | [
"MIT"
] | 16 | 2018-10-27T21:44:36.000Z | 2022-01-22T03:01:54.000Z | tests/test_api.py | Fabulabs/spacy-js | c7a34298203d26b25f9eb1f6b9eb875faa33d144 | [
"MIT"
] | 22 | 2019-01-12T16:38:20.000Z | 2022-03-14T19:11:38.000Z | # coding: utf8
from __future__ import unicode_literals
import pytest
import spacy
import json
from api.server import parse, doc2json, load_model
def test_server_parse(model, text, doc):
load_model(model)
json_doc = parse(model, text)
direct_json_doc = doc2json(doc, model)
assert json.dumps(json_... | 27.463415 | 68 | 0.654085 |
bcccafa97336dc1ded4587f29664425a01e6d815 | 28,365 | py | Python | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | 1 | 2019-12-02T02:31:25.000Z | 2019-12-02T02:31:25.000Z | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | null | null | null | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2018, Image Engine Design 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:
#
# * Redistrib... | 47.196339 | 175 | 0.692649 |
bccd1fa8fe336f245d1474aeb673c6c021c08a1b | 20,598 | py | Python | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2022 Valory AG
# Copyright 2018-2021 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | 35.636678 | 151 | 0.646373 |
bccd22c451ca48a6b2b63fe4d46e6f3d5177271f | 12,177 | py | Python | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
import os
import asyncio
import json
from unittest.mock import MagicMock, patch
from collections import Counter
from aiohttp import web
import pytest
from foglamp.services.core import routes
from foglamp.services.core import ... | 46.834615 | 123 | 0.635214 |
bccd4ecf3e75810f078465ed5395ba34d886f56a | 3,690 | py | Python | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | 6 | 2021-10-21T14:13:25.000Z | 2021-12-26T12:22:51.000Z | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | """
Why need dimensional reduction
The following is the use of dimensionality reduction in the data set:
As data dimensions continue to decrease, the space required for data storage will also decrease.
Low-dimensional data helps reduce calculation/training time.
Some algorithms tend to perform poorly on high-dimens... | 30.495868 | 217 | 0.714363 |
bccea585927cd051fb0a3ed4b33c0aada5c1d9b8 | 456 | py | Python | sample_project/exam/exam.py | pcse/gitlab_tools | 2896b636b0f8955bdb5f2236e257cc5d3efd54d7 | [
"BSD-3-Clause"
] | null | null | null | sample_project/exam/exam.py | pcse/gitlab_tools | 2896b636b0f8955bdb5f2236e257cc5d3efd54d7 | [
"BSD-3-Clause"
] | null | null | null | sample_project/exam/exam.py | pcse/gitlab_tools | 2896b636b0f8955bdb5f2236e257cc5d3efd54d7 | [
"BSD-3-Clause"
] | 1 | 2022-03-17T16:51:08.000Z | 2022-03-17T16:51:08.000Z | """
These methods can be called inside WebCAT to determine which tests are loaded
for a given section/exam pair. This allows a common WebCAT submission site to
support different project tests
"""
| 25.333333 | 78 | 0.723684 |
bccf9e77bf6eaccd18d5b5a8053e3859146a0272 | 2,727 | py | Python | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | from datetime import datetime
import scrapy
import lxml
from lxml.html.clean import Cleaner
import re
SOURCE = 'Pgina 12'
LANGUAGE = 'es'
cleaner = Cleaner(allow_tags=['p', 'br', 'b', 'a', 'strong', 'i', 'em'])
| 32.855422 | 104 | 0.521819 |
bccfcca536c98cf3954ec419341b10079911dafc | 6,978 | py | Python | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | from calendar import c
from typing import Dict, List, Union
from zlib import DEF_BUF_SIZE
import json_lines
import numpy as np
import re
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.manifold import TSNE
from sklearn.preprocessing import StandardScaler
import pandas as pd
import json
from scipy.spa... | 38.131148 | 111 | 0.655775 |
bccff1b3d6077ecdb8e86f1fedd69c5761247393 | 22,448 | py | Python | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | null | null | null | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | null | null | null | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | 1 | 2019-09-22T01:28:52.000Z | 2019-09-22T01:28:52.000Z | #!/usr/bin/env python
#
# Copyright (c) 2018, Pycom Limited.
#
# This software is licensed under the GNU GPL version 3 or any
# later version, with permitted additional terms. For more information
# see the Pycom Licence v1.0 document supplied with this file, or
# available at https://www.pycom.io/opensource/licensing
... | 42.116323 | 286 | 0.513587 |
bccff8756b8fd9c49c849a5ee7e86c1a5271fe95 | 2,315 | py | Python | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | import datetime
from django.utils import timezone
from django.contrib.auth.models import User
from hknweb.events.models import Event, EventType, Rsvp
| 28.9375 | 88 | 0.581425 |
bcd088f1e5c34ccfa8be8350d7cb0a6ebc06a38b | 4,979 | py | Python | HealthNet/prescriptions/views.py | jimga150/HealthNet | 84e55302b02221ae6e93640904af837fdfe09a83 | [
"MIT"
] | null | null | null | HealthNet/prescriptions/views.py | jimga150/HealthNet | 84e55302b02221ae6e93640904af837fdfe09a83 | [
"MIT"
] | null | null | null | HealthNet/prescriptions/views.py | jimga150/HealthNet | 84e55302b02221ae6e93640904af837fdfe09a83 | [
"MIT"
] | null | null | null | from django.shortcuts import redirect
from .forms import PrescriptionForm
from core.views import is_doctor, is_nurse, is_admin, is_patient
from core.models import *
from .models import Prescription
from django.contrib.auth.decorators import login_required, user_passes_test
from django.utils import timezone
from dja... | 33.193333 | 119 | 0.69753 |
bcd22bd32e41749d160e83a36693fbb03e02a7c0 | 2,232 | py | Python | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | 1 | 2020-12-02T13:54:30.000Z | 2020-12-02T13:54:30.000Z | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | """
1. Clarification
2. Possible solutions
- dfs + memoization
- Topological sort
3. Coding
4. Tests
"""
# T=O(m*n), S=O(m*n)
from functools import lru_cache
# T=O(m*n), S=O(m*n)
| 30.162162 | 111 | 0.471774 |
bcd344e1483580a8d86580469eef57c0ac31bfc7 | 1,511 | py | Python | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 898 | 2020-01-09T12:03:08.000Z | 2022-03-31T07:59:46.000Z | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 172 | 2020-02-21T08:56:42.000Z | 2021-05-12T03:18:40.000Z | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 186 | 2020-01-13T09:34:30.000Z | 2022-03-22T04:48:48.000Z | #!/usr/bin/env python
#coding=utf-8
'''
Remove tailing whitespaces and ensures one and only one empty ending line.
'''
import os, re
main()
| 24.370968 | 85 | 0.608868 |
bcd3b0b0dedcabbec5fd0840549ab45783c9eb2d | 4,096 | py | Python | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | from core import *
from cameras import *
from geometry import *
from material import *
from lights import *
# instantiate and run the program
TestPostprocessing2().run()
| 32 | 99 | 0.577148 |
bcd3c580510f803674768f898ad9016345f92071 | 3,027 | py | Python | scripts/test_cache_size_vs_code_balance.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | 7 | 2015-07-14T08:29:14.000Z | 2021-07-30T14:53:13.000Z | scripts/test_cache_size_vs_code_balance.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | null | null | null | scripts/test_cache_size_vs_code_balance.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | 3 | 2016-08-30T01:25:40.000Z | 2017-06-22T05:50:05.000Z | #!/usr/bin/env python
if __name__ == "__main__":
main()
| 31.863158 | 218 | 0.573835 |
bcd4aa69ca55232166dab3fedc825cb402a37789 | 654 | py | Python | generate/lib/run-firefox/firefox_runner.py | flamencist/browser-extensions | cc2424ce69c718f9f6b1fb0e6cd19759ba384591 | [
"BSD-3-Clause"
] | 102 | 2015-01-09T22:12:00.000Z | 2021-04-21T01:18:51.000Z | generate/lib/run-firefox/firefox_runner.py | flamencist/browser-extensions | cc2424ce69c718f9f6b1fb0e6cd19759ba384591 | [
"BSD-3-Clause"
] | 17 | 2015-01-24T22:30:47.000Z | 2020-11-19T01:13:32.000Z | generate/lib/run-firefox/firefox_runner.py | flamencist/browser-extensions | cc2424ce69c718f9f6b1fb0e6cd19759ba384591 | [
"BSD-3-Clause"
] | 33 | 2015-01-15T16:11:15.000Z | 2021-06-11T12:15:29.000Z | import os
import shutil
import codecs
import json
from cuddlefish.runner import run_app
from cuddlefish.rdf import RDFManifest
| 28.434783 | 92 | 0.785933 |
bcd52639c509cc2628a1148eef258524825f4528 | 8,408 | py | Python | pyripple/protocol/orderbook.py | gip/pyripple | d0c696bed7c6ad4c2309733484f9915074f9acdd | [
"Apache-2.0"
] | null | null | null | pyripple/protocol/orderbook.py | gip/pyripple | d0c696bed7c6ad4c2309733484f9915074f9acdd | [
"Apache-2.0"
] | null | null | null | pyripple/protocol/orderbook.py | gip/pyripple | d0c696bed7c6ad4c2309733484f9915074f9acdd | [
"Apache-2.0"
] | null | null | null | # PyRipple
#
# Copyright 2015 Gilles Pirio
#
# 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... | 37.20354 | 154 | 0.593958 |
bcd61a8f67cde91f10cbb1a9264485fd9ef2e8b8 | 3,205 | py | Python | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 69 | 2020-03-31T06:40:17.000Z | 2022-02-25T11:48:18.000Z | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 11 | 2019-12-26T17:21:03.000Z | 2022-03-21T22:17:07.000Z | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 28 | 2020-04-15T15:24:17.000Z | 2021-12-26T04:05:02.000Z | # -*- coding: utf-8 -*-
"""
Unit tests for Senna
"""
from __future__ import unicode_literals
from os import environ, path, sep
import logging
import unittest
from nltk.classify import Senna
from nltk.tag import SennaTagger, SennaChunkTagger, SennaNERTagger
# Set Senna executable path for tests if it is not specifie... | 42.733333 | 108 | 0.597504 |
bcd716fdc72869755eef1e517937f6675edfef9d | 8,191 | py | Python | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 25 | 2015-08-10T19:34:34.000Z | 2021-02-05T08:28:01.000Z | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 153 | 2015-01-20T08:35:49.000Z | 2022-03-16T11:00:56.000Z | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 10 | 2015-01-23T15:48:30.000Z | 2021-01-21T15:41:18.000Z | #-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2015 EOX IT Services GmbH
#
# Permission... | 37.746544 | 81 | 0.580393 |
bcd88cb9aee8377371dcb96cf615ef4e2ec10580 | 4,113 | py | Python | exercises/level_0/stringing.py | eliranM98/python_course | d9431dd6c0f27fca8ca052cc2a821ed0b883136c | [
"MIT"
] | 6 | 2019-03-29T06:14:53.000Z | 2021-10-15T23:42:36.000Z | exercises/level_0/stringing.py | eliranM98/python_course | d9431dd6c0f27fca8ca052cc2a821ed0b883136c | [
"MIT"
] | 4 | 2019-09-06T10:03:40.000Z | 2022-03-11T23:30:55.000Z | exercises/level_0/stringing.py | eliranM98/python_course | d9431dd6c0f27fca8ca052cc2a821ed0b883136c | [
"MIT"
] | 12 | 2019-06-20T19:34:52.000Z | 2021-10-15T23:42:39.000Z | text = '''
Victor Hugo's ({}) tale of injustice, heroism and love follows the fortunes of Jean Valjean, an escaped convict determined to put his criminal past behind him. But his attempts to become a respected member of the community are constantly put under threat: by his own conscience, when, owing to a case of mista... | 41.545455 | 590 | 0.735959 |
bcda0fb17ff31d81f09ba63207547e8568fa2ae6 | 2,085 | py | Python | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | from typing import Any, Dict
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
FC1_DIM = 1024
FC2_DIM = 128
| 29.366197 | 95 | 0.533813 |
bcda1861cc6349c05142c05367f155b32d44ad1c | 979 | py | Python | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | null | null | null | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | 2 | 2019-10-05T14:20:11.000Z | 2019-10-05T14:22:31.000Z | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | null | null | null | from pygame import Surface, font
from .basewidget import BaseWidget
from frontend import Renderer, WidgetHandler
| 27.971429 | 74 | 0.592441 |
bcda32ab85ecef62e60d41fc5f944271b774ca47 | 709 | py | Python | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | null | null | null | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | null | null | null | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | 1 | 2020-08-14T11:44:42.000Z | 2020-08-14T11:44:42.000Z | import numpy as np
import tensorflow as tf
"""
Do an MNIST classification line by line by LSTM
"""
(x_train, y_train), \
(x_test, y_test) = tf.keras.datasets.mnist.load_data()
x_train, x_test = x_train/255.0, x_test/255.0
model = tf.keras.Sequential()
model.add(tf.keras.layers.LSTM(128, input_shape=(None, 28)))
... | 27.269231 | 67 | 0.70945 |
bcdd9f6e351b12352ead172914df612d99371de2 | 984 | py | Python | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import os
from random import shuffle
from tqdm import tqdm
DATA_DIR = '../input/amazon/'
TRAIN_TIF_DIR = DATA_DIR + 'train-tif/'
TRAIN_CSV = DATA_DIR + 'train.csv'
TEST_TIF_DIR = DATA_DIR + 'test-tif/'
IMG_SIZE = 100
LR = 1e-3
MODEL_NAME = 'amazon=-{... | 20.93617 | 83 | 0.690041 |
bcddbefe85e0c400583bdfd288157408fcf8f518 | 11,271 | py | Python | rpython/translator/platform/posix.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/translator/platform/posix.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/translator/platform/posix.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """Base support for POSIX-like platforms."""
import py, os, sys
from rpython.translator.platform import Platform, log, _run_subprocess
import rpython
rpydir = str(py.path.local(rpython.__file__).join('..'))
| 36.009585 | 130 | 0.53021 |
bcde4233b8d9a36e066c7f656e904c7a4e46422b | 3,247 | py | Python | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 16 | 2018-02-06T14:43:41.000Z | 2021-01-23T05:07:33.000Z | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | null | null | null | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 4 | 2018-01-16T13:50:43.000Z | 2019-12-16T19:45:54.000Z | import glob
import bs4
import gzip
import pickle
import re
import os
from concurrent.futures import ProcessPoolExecutor as PPE
import json
from pathlib import Path
from hashlib import sha256
import shutil
Path('json').mkdir(exist_ok=True)
#urls = [sha256(bytes(v, 'utf8')).hexdigest() for v in json.load(fp=open('./has... | 36.077778 | 158 | 0.55559 |
bcde81a6deec0252f40277dde895c56c9a4836eb | 5,047 | py | Python | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | ricardolsmendes/datacatalog-connectors-hive | 9e71588133c0b0227e789c8d6bb26cfa031d2cfb | [
"Apache-2.0"
] | 19 | 2020-04-27T21:55:47.000Z | 2022-03-22T19:45:14.000Z | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | ricardolsmendes/datacatalog-connectors-hive | 9e71588133c0b0227e789c8d6bb26cfa031d2cfb | [
"Apache-2.0"
] | 12 | 2020-05-28T14:48:29.000Z | 2022-01-15T17:52:09.000Z | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | mesmacosta/datacatalog-connectors-hive | ab7e49fbef8599dd9053c2260b261ce01f510a47 | [
"Apache-2.0"
] | 15 | 2020-05-03T17:25:51.000Z | 2022-01-11T22:10:35.000Z | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 37.385185 | 79 | 0.656628 |
bcded4531d60ca947d6fb59affac50e25540dcfc | 7,490 | py | Python | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | import functools
import json
from os.path import abspath, dirname, exists, join
from typing import Dict, Sequence
import numpy as np
import pandas as pd
import torch
from pymatgen.core import Composition
from torch.utils.data import Dataset
def collate_batch(dataset_list):
"""
Collate a list of data and ret... | 33.738739 | 100 | 0.607076 |
bcdf1f594847bcd658c78df9bc4bf018e0d729b0 | 201 | py | Python | tests/test_util.py | danqing/dqpy | f296341adb0dbbfb361eaf8b815b0ffd189ebf58 | [
"MIT"
] | null | null | null | tests/test_util.py | danqing/dqpy | f296341adb0dbbfb361eaf8b815b0ffd189ebf58 | [
"MIT"
] | 25 | 2018-05-22T15:59:37.000Z | 2020-02-14T08:08:24.000Z | tests/test_util.py | danqing/dqpy | f296341adb0dbbfb361eaf8b815b0ffd189ebf58 | [
"MIT"
] | null | null | null | import unittest
from dq import util
| 18.272727 | 50 | 0.656716 |
bce0bfd9222f594d713d4743ed32c26bb4279c4c | 1,483 | py | Python | check_perm.py | codecakes/random_games | 1e670021ec97a196726e937e658878dc63ba9d34 | [
"MIT"
] | null | null | null | check_perm.py | codecakes/random_games | 1e670021ec97a196726e937e658878dc63ba9d34 | [
"MIT"
] | null | null | null | check_perm.py | codecakes/random_games | 1e670021ec97a196726e937e658878dc63ba9d34 | [
"MIT"
] | null | null | null | """
PermCheck
Check whether array A is a permutation.
https://codility.com/demo/results/demoANZ7M2-GFU/
Task description
A non-empty zero-indexed array A consisting of N integers is given.
A permutation is a sequence containing each element from 1 to N once, and only once.
For example, array A such that:
A[0] = 4... | 27.981132 | 123 | 0.662171 |
bce184e301b2a2454689f53c630fba1c6046cd36 | 18,709 | py | Python | src/oci/log_analytics/models/log_analytics_association.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 249 | 2017-09-11T22:06:05.000Z | 2022-03-04T17:09:29.000Z | src/oci/log_analytics/models/log_analytics_association.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 228 | 2017-09-11T23:07:26.000Z | 2022-03-23T10:58:50.000Z | src/oci/log_analytics/models/log_analytics_association.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 224 | 2017-09-27T07:32:43.000Z | 2022-03-25T16:55:42.000Z | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 31.443697 | 245 | 0.65685 |
bce1c979a2eb7695c7ea999525e47a17d52983b8 | 68,069 | py | Python | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | 3 | 2021-07-28T11:28:25.000Z | 2021-07-28T11:56:58.000Z | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | null | null | null | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | 1 | 2021-07-28T11:40:45.000Z | 2021-07-28T11:40:45.000Z | 'Author: Aimore Resende Riquetti Dutra'
'''email: aimorerrd@hotmail.com'''
# -------------------------------------------------------------------------------------------------- #
# This code can run 4 different models of Reinforcement Learning:
# Q-Learning (QL), DQN, SRL (DSRL), SRL+CS(DSRL_object_near) and some ot... | 41.734519 | 231 | 0.491707 |
bce207bdb62870e146b1e56a1b168c691c0515ac | 4,273 | py | Python | utils/scene_bounding_box.py | davidemarelli/sfm_flow | 7a96d8309cc01b8499347ba0cae882923d82bbcc | [
"MIT"
] | 8 | 2020-10-27T12:52:17.000Z | 2022-03-30T04:15:37.000Z | utils/scene_bounding_box.py | ElsevierSoftwareX/SOFTX_2020_51 | b240a113c91405fac60444a6e56e87e3cf17a27b | [
"MIT"
] | 1 | 2020-11-09T01:56:04.000Z | 2020-11-24T15:58:26.000Z | utils/scene_bounding_box.py | davidemarelli/sfm_flow | 7a96d8309cc01b8499347ba0cae882923d82bbcc | [
"MIT"
] | 2 | 2021-12-02T10:04:39.000Z | 2022-03-28T07:54:07.000Z |
import logging
from typing import Tuple
import bpy
from mathutils import Vector
from .object import get_objs
logger = logging.getLogger(__name__)
################################################################################################
# Methods
#
# ========================================... | 39.934579 | 113 | 0.388018 |
bce25f2b08abacab5318cf6e45474c91216d772e | 38,887 | py | Python | tensor2tensor/trax/rlax/ppo.py | funtion/tensor2tensor | 339295a276c4bfc93894c474979d0620d14b9710 | [
"Apache-2.0"
] | 1 | 2020-09-22T02:07:16.000Z | 2020-09-22T02:07:16.000Z | tensor2tensor/trax/rlax/ppo.py | joeyism/tensor2tensor | 2f0edae221a9ec2a415dbf7fcc3ff25b8777d830 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/trax/rlax/ppo.py | joeyism/tensor2tensor | 2f0edae221a9ec2a415dbf7fcc3ff25b8777d830 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The Tensor2Tensor Authors.
#
# 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... | 35.255666 | 81 | 0.649806 |
bce5b76758741bd43e051c43114fa45c1ec64384 | 9,421 | py | Python | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | """
WS-DAN models
Hu et al.,
"See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification",
arXiv:1901.09891
"""
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import models.resnet as resnet
from models.incep... | 39.751055 | 135 | 0.604713 |
bce6db15719682d4f24dcfd6984365aab4377658 | 1,526 | py | Python | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | null | null | null | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | null | null | null | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | 1 | 2021-07-14T13:24:05.000Z | 2021-07-14T13:24:05.000Z | #!/usr/bin/env python
import mirheo as mir
dt = 0.001
ranks = (1, 1, 1)
domain = (8, 16, 8)
force = (1.0, 0, 0)
density = 4
u = mir.Mirheo(ranks, domain, dt, debug_level=3, log_filename='log', no_splash=True)
pv = mir.ParticleVectors.ParticleVector('pv', mass = 1)
ic = mir.InitialConditions.Uniform(number_densit... | 27.745455 | 138 | 0.692005 |
bce8b5c80fccdda525f4313d1b8dac7df83862d2 | 3,765 | py | Python | scraper-code/myanimelist/base.py | XueAlfred/MALAnalysis | 630d578b30f7540769774e1e4ee072d9775bf4bf | [
"MIT"
] | 15 | 2015-01-24T10:52:42.000Z | 2021-08-09T10:23:58.000Z | scraper-code/myanimelist/base.py | XueAlfred/MALAnalysis | 630d578b30f7540769774e1e4ee072d9775bf4bf | [
"MIT"
] | 10 | 2015-01-24T10:51:18.000Z | 2018-09-05T00:17:03.000Z | scraper-code/myanimelist/base.py | XueAlfred/MALAnalysis | 630d578b30f7540769774e1e4ee072d9775bf4bf | [
"MIT"
] | 18 | 2015-01-24T11:29:38.000Z | 2021-12-04T02:41:09.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import abc
import bs4
import functools
import utilities
def loadable(func_name):
"""Decorator for getters that require a load() upon first access.
:type func_name: function
:param func_name: class method that requires that load() be called if the class's _attribute val... | 27.683824 | 127 | 0.662151 |
bce99600c76ca2d8cb9cc68164960e5e44460216 | 624 | py | Python | p2/core/http.py | BeryJu/p2 | 80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27 | [
"MIT"
] | null | null | null | p2/core/http.py | BeryJu/p2 | 80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27 | [
"MIT"
] | null | null | null | p2/core/http.py | BeryJu/p2 | 80b5c6a821f90cef73d6e8cd3c6cdb05ffa86b27 | [
"MIT"
] | null | null | null | """p2 core http responses"""
from wsgiref.util import FileWrapper
from django.http import StreamingHttpResponse
from p2.core.constants import ATTR_BLOB_MIME, ATTR_BLOB_SIZE_BYTES
from p2.core.models import Blob
| 36.705882 | 96 | 0.758013 |
bcea70bd02cca28f65bc7151eb0b0e69448cc1e4 | 7,566 | py | Python | lattedb/project/formfac/migrations/0009_auto_20200528_0907.py | callat-qcd/lattedb | 75c06748f3d59332a84ec1b5794c215c5974a46f | [
"BSD-3-Clause"
] | 1 | 2019-12-11T02:33:23.000Z | 2019-12-11T02:33:23.000Z | lattedb/project/formfac/migrations/0009_auto_20200528_0907.py | callat-qcd/lattedb | 75c06748f3d59332a84ec1b5794c215c5974a46f | [
"BSD-3-Clause"
] | 10 | 2020-01-29T17:06:01.000Z | 2021-05-31T14:41:19.000Z | lattedb/project/formfac/migrations/0009_auto_20200528_0907.py | callat-qcd/lattedb | 75c06748f3d59332a84ec1b5794c215c5974a46f | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 3.0.6 on 2020-05-28 09:07
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 64.666667 | 239 | 0.690193 |
bceaba57987d2038b2b3f984d0fa700547f6902c | 12,224 | py | Python | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | """
Data: Temperature and Salinity time series from SIO Scripps Pier
Salinity: measured in PSU at the surface (~0.5m) and at depth (~5m)
Temp: measured in degrees C at the surface (~0.5m) and at depth (~5m)
- Timestamp included beginning in 1990
"""
# imports
import sys,os
import pandas as pd
import numpy as... | 47.015385 | 156 | 0.724967 |
bceb90c866742318115d3897625ab3cd17dad9ae | 1,782 | py | Python | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 7 | 2019-03-13T17:22:50.000Z | 2022-01-09T09:03:16.000Z | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 1 | 2019-08-01T23:42:09.000Z | 2019-08-02T16:14:31.000Z | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 2 | 2020-09-12T06:33:16.000Z | 2021-01-01T01:05:48.000Z | from collections import namedtuple as Struct
from sklearn.model_selection import GroupShuffleSplit, ShuffleSplit
DataSplitConfig = Struct('DataSplitConfig', ['validation_size', 'test_size', 'random_seed'])
DEFAULT_SPLIT_CONFIG = DataSplitConfig(0.2, 0.2, 1337)
| 30.724138 | 92 | 0.640292 |
bcef12fc47d4a9fcc176c51b16eef241913a4acb | 2,989 | py | Python | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 1,190 | 2020-07-10T01:16:01.000Z | 2022-03-31T09:48:38.000Z | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 702 | 2020-07-13T13:31:33.000Z | 2022-03-31T06:48:04.000Z | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 502 | 2020-07-10T02:40:55.000Z | 2022-03-31T02:07:09.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from .make_divisible import make_divisible
| 39.853333 | 77 | 0.603546 |
bcef9b7b7442550783a878ff705f2b12e8b4982b | 605 | py | Python | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | null | null | null | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | 7 | 2021-04-08T21:26:44.000Z | 2022-03-12T00:40:52.000Z | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Images,Comments,Profile
# Register your models here.
admin.site.site_header='InstaPost Admin'
admin.site.site_title='InstaPost Admin Dashboard'
admin.site.register(Images,ImageInline)
admin.site.register(Profile)
| 24.2 | 49 | 0.676033 |
bcefbd3c4fdc15d991e7f75b480521ed8994a120 | 2,234 | py | Python | mandelbruh/util.py | pereradrian/mandelbruh | fb68c5f2af84d51097e73f3a248e3a1b95fbbf47 | [
"MIT"
] | null | null | null | mandelbruh/util.py | pereradrian/mandelbruh | fb68c5f2af84d51097e73f3a248e3a1b95fbbf47 | [
"MIT"
] | null | null | null | mandelbruh/util.py | pereradrian/mandelbruh | fb68c5f2af84d51097e73f3a248e3a1b95fbbf47 | [
"MIT"
] | null | null | null | import numpy as np
_mandelbruh_GLOBAL_VARS = {}
| 21.68932 | 88 | 0.625783 |
bcf0d2ce383dabf5df66eb0e8657dcde75189cda | 8,894 | py | Python | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 129 | 2017-11-14T07:20:33.000Z | 2021-06-18T07:07:18.000Z | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 10 | 2018-04-18T08:01:09.000Z | 2018-08-17T02:57:33.000Z | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 35 | 2017-11-14T07:17:00.000Z | 2021-01-21T08:10:07.000Z | """
recognize face landmark
"""
import json
import os
import requests
import numpy as np
FACE_POINTS = list(range(0, 83))
JAW_POINTS = list(range(0, 19))
LEFT_EYE_POINTS = list(range(19, 29))
LEFT_BROW_POINTS = list(range(29, 37))
MOUTH_POINTS = list(range(37, 55))
NOSE_POINTS = list(range(55, 65))
RIGHT_EYE_POINTS =... | 47.308511 | 103 | 0.619744 |
bcf263d3ef948ac8eb8afa3a601107434d608075 | 1,646 | py | Python | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | import requests
import time
from bs4 import BeautifulSoup
import re
def get_mag_var(lat, lon, year, month, day, elev=0):
"""Returns the magnetic variation at a particulat point on earth.
Keyword Arguments
lat -- latitude (e.g. -180.6 deg)
lon -- longitude (e.g. -34.6 deg)
elev -- elevation in km (... | 29.392857 | 76 | 0.59113 |
bcf313d0b0b9c2b0b509d979b3d7f59db6845dd5 | 81,110 | py | Python | google-cloud-sdk/lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_messages.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_messages.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | 4 | 2020-07-21T12:51:46.000Z | 2022-01-22T10:29:25.000Z | google-cloud-sdk/lib/googlecloudsdk/third_party/apis/datacatalog/v1beta1/datacatalog_v1beta1_messages.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | 1 | 2020-07-25T18:17:57.000Z | 2020-07-25T18:17:57.000Z | """Generated message classes for datacatalog version v1beta1.
A fully managed and highly scalable data discovery and metadata management
service.
"""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
... | 42.644585 | 150 | 0.753051 |
bcf316f9ca83440854d986b21a72745912b71d9f | 656 | py | Python | materials/migrations/0072_auto_20190422_1708.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 7 | 2019-09-14T07:24:09.000Z | 2021-06-15T16:15:05.000Z | materials/migrations/0072_auto_20190422_1708.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 14 | 2019-12-05T01:49:19.000Z | 2021-06-23T18:34:51.000Z | materials/migrations/0072_auto_20190422_1708.py | mgovoni-devel/MatD3 | 5b68d147f886bce427f92bb560159e62cec2d4e7 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2019-11-06T21:16:57.000Z | 2019-11-30T10:51:44.000Z | # Generated by Django 2.1.7 on 2019-04-22 21:08
from django.db import migrations
| 22.62069 | 49 | 0.565549 |
bcf492dcec78d6b358e2430eb0bbca995c069560 | 5,054 | py | Python | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | 1 | 2018-11-18T05:43:05.000Z | 2018-11-18T05:43:05.000Z | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | null | null | null | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# ------------------------
# written by Songjian Chen
# 2018-10
# ------------------------
import os
import skimage.io
from skimage.color import rgb2gray
import skimage.transform
from scipy.io import loadmat
import numpy as np
import cv2
import math
import warnings
import random
import torch
imp... | 38.287879 | 109 | 0.623467 |
bcf55731b896385e43f5d67d9f858074f1791555 | 38 | py | Python | for1.py | satyamraj123/set-of-python-programs | c9a20b37cddc555704799e5ff277488b7eff58a9 | [
"Apache-2.0"
] | null | null | null | for1.py | satyamraj123/set-of-python-programs | c9a20b37cddc555704799e5ff277488b7eff58a9 | [
"Apache-2.0"
] | null | null | null | for1.py | satyamraj123/set-of-python-programs | c9a20b37cddc555704799e5ff277488b7eff58a9 | [
"Apache-2.0"
] | null | null | null | fruit='banana'
x=len(fruit)
print(x) | 12.666667 | 15 | 0.684211 |
bcf5a205651a80f9d34336bef6e346a1933e40ae | 689 | py | Python | Django_Intershala/recruiter/migrations/0004_auto_20210305_1551.py | samir321-pixel/Django_Intershala | 77aaa24a34873dab4c3302727d5f43986a99809e | [
"MIT"
] | 7 | 2021-03-08T17:09:39.000Z | 2021-12-30T09:44:44.000Z | Django_Intershala/recruiter/migrations/0004_auto_20210305_1551.py | samir321-pixel/Django_Intershala | 77aaa24a34873dab4c3302727d5f43986a99809e | [
"MIT"
] | null | null | null | Django_Intershala/recruiter/migrations/0004_auto_20210305_1551.py | samir321-pixel/Django_Intershala | 77aaa24a34873dab4c3302727d5f43986a99809e | [
"MIT"
] | 2 | 2021-03-03T11:35:05.000Z | 2021-03-22T17:00:16.000Z | # Generated by Django 3.1.7 on 2021-03-05 10:21
from django.db import migrations, models
| 24.607143 | 62 | 0.576197 |
bcf633a886ab43d9c3c7c35185345d3f776c81e3 | 4,899 | py | Python | src/promnesia/sources/telegram.py | halhenke/promnesia | 03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7 | [
"MIT"
] | 1,327 | 2019-11-02T20:10:38.000Z | 2022-03-29T16:58:36.000Z | src/promnesia/sources/telegram.py | halhenke/promnesia | 03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7 | [
"MIT"
] | 157 | 2019-09-06T11:16:40.000Z | 2022-03-27T20:01:52.000Z | src/promnesia/sources/telegram.py | halhenke/promnesia | 03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7 | [
"MIT"
] | 60 | 2020-06-08T22:12:24.000Z | 2022-03-22T16:57:22.000Z | '''
Uses [[https://github.com/fabianonline/telegram_backup#readme][telegram_backup]] database for messages data
'''
from pathlib import Path
from textwrap import dedent
from typing import Optional, Union, TypeVar
from urllib.parse import unquote # TODO mm, make it easier to rememember to use...
from ..common import P... | 37.684615 | 154 | 0.560931 |
bcf6d0a350e5ace0a39c3f35ff8dbbc6f050f1f4 | 6,407 | py | Python | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on Dec 27, 2019
@author: duane
'''
DOLLAR = ord('$')
LBRACE = ord('{')
RBRACE = ord('}')
LPAREN = ord('(')
RPAREN = ord(')')
def test_istr():
check(-1, -1, "")
check(-1, -1, "a")
check(-1, -1, "ab")
check(-1, -1, "abc")
check(-1, -1, "abcd")
check(-1, -1, "abcde")
check(-... | 27.856522 | 81 | 0.517715 |
bcf76125149120b7d959b455bacb0c98cf4095f0 | 7,712 | py | Python | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | 4 | 2019-07-18T18:16:31.000Z | 2020-02-28T08:39:58.000Z | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | null | null | null | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
"""
CLI for Accessing Deenis
"""
# Standard Imports
import sys
from pathlib import Path
# Module Imports
import click
# Path Fixes
working_dir = Path(__file__).resolve().parent
sys.path.append(str(working_dir))
# Project Imports
from deenis import Deenis
if __name__ == "__main__":
add_... | 36.72381 | 86 | 0.490794 |
bcf7f47be4d0d789e4869009ef9f2f68c5ab3b33 | 5,383 | py | Python | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | # coding: utf-8
from bigone import BigOneDog
from common import gen_logger
import logging
import time
import json
def strategy_eth_big_bnc_eth(dog):
"""
BIG/ETH -> BIG/BNC -> ETH/BNC
ETH/BNC -> BIG/BNC -> BIG/ETH
:param dog: implemention of BigOneDog
:return:
"""
big_eth_data = dog.get_... | 35.886667 | 112 | 0.546907 |
bcf86b7e6462408e17d610983a6cb23985d20fe4 | 1,191 | py | Python | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | 6 | 2019-11-15T08:42:29.000Z | 2021-03-04T11:58:39.000Z | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | null | null | null | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | 3 | 2020-11-25T03:44:41.000Z | 2021-03-08T04:45:56.000Z | import os
import yaml
import logging
import importlib
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
logging.getLogger('tensorflow').disabled = True
from cifar_training_tools import cifar_training, cifar_error_test
print('\n' + '#' * 19)
print("TESTING FOR ERRORS!")
print('#' * 19)
stream = open('experiments... | 27.697674 | 79 | 0.628044 |
bcf8d925c5a3910be4a945e6cce5d1278db5fcb4 | 179 | py | Python | json2yaml.py | cristicalin/tools | b8fe4efb1143a575d102d3a8e368052a4ecdceae | [
"MIT"
] | null | null | null | json2yaml.py | cristicalin/tools | b8fe4efb1143a575d102d3a8e368052a4ecdceae | [
"MIT"
] | 1 | 2016-01-31T12:54:06.000Z | 2016-02-29T13:45:46.000Z | json2yaml.py | cristicalin/tools | b8fe4efb1143a575d102d3a8e368052a4ecdceae | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import yaml
import json
if __name__ == '__main__':
content = json.load(sys.stdin)
print yaml.dump(content, indent=2, default_flow_style=False)
| 16.272727 | 62 | 0.73743 |
bcf9bd066aefdc4f6abca126693e2677662eb927 | 1,542 | py | Python | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 1 | 2018-07-02T13:54:49.000Z | 2018-07-02T13:54:49.000Z | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | null | null | null | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 3 | 2016-05-28T15:13:02.000Z | 2021-04-10T06:04:25.000Z | # -*- coding: utf-8 -*-
import os,sys
from PyQt4 import QtGui,QtCore
dataRoot = os.path.abspath(os.path.join(os.path.dirname(__file__),os.pardir,os.pardir,'histdata'))
sys.path.append(dataRoot)
import dataCenter as dataCenter
from data.mongodb.DataSourceMongodb import Mongodb
import datetime as dt
... | 37.609756 | 133 | 0.527237 |
bcf9e42ce187d88ea3d733bded3e343188bcd463 | 10,196 | py | Python | daproli/transformer.py | ermshaua/daproli | c1f7aeec431d9c60ae06eeac23455c1a03bc82cf | [
"BSD-3-Clause"
] | null | null | null | daproli/transformer.py | ermshaua/daproli | c1f7aeec431d9c60ae06eeac23455c1a03bc82cf | [
"BSD-3-Clause"
] | null | null | null | daproli/transformer.py | ermshaua/daproli | c1f7aeec431d9c60ae06eeac23455c1a03bc82cf | [
"BSD-3-Clause"
] | null | null | null | from joblib import Parallel, delayed
from tqdm import tqdm
from .processing import map, filter, split, expand, combine, join
from .manipulation import windowed, flatten
| 36.028269 | 127 | 0.640643 |
bcfa0b019701139c1bd20ee0f0d8361e7deda90e | 90 | py | Python | Ad-Hoc/2454.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | Ad-Hoc/2454.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | Ad-Hoc/2454.py | LorranSutter/URI-Online-Judge | aef885b9a7caa83484cf172e29eea8ec92fc3627 | [
"MIT"
] | null | null | null | P, R = input().split()
if P == '0': print('C')
elif R == '0': print('B')
else: print('A') | 18 | 25 | 0.488889 |
bcfa7e8108972dea4c27619df4c1be7b06458b6e | 3,813 | py | Python | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | 2 | 2020-02-18T09:41:43.000Z | 2020-02-20T11:03:03.000Z | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | null | null | null | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | null | null | null | import pymongo
import yaml
import sched
import time
import json
from castella import TweetCrawler
if __name__ == "__main__":
searcher = Castella()
searcher.execute_search() | 37.019417 | 150 | 0.540782 |
bcfabdd28c428dd3bd0fa4eb4f234286130b7db0 | 1,275 | py | Python | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | monroid/openvino | 8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6 | [
"Apache-2.0"
] | 2,406 | 2020-04-22T15:47:54.000Z | 2022-03-31T10:27:37.000Z | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 4,948 | 2020-04-22T15:12:39.000Z | 2022-03-31T18:45:42.000Z | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 991 | 2020-04-23T18:21:09.000Z | 2022-03-31T18:40:57.000Z | #
# slice paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle as pdpd
import sys
data_type = 'float32'
if __name__ == "__main__":
main() | 32.692308 | 116 | 0.622745 |
bcfb7330e40f9b79f2ab184f143d401951828548 | 2,513 | py | Python | tacker/sol_refactored/common/vnf_instance_utils.py | h1r0mu/tacker | 8c69dda51fcfe215c4878a86b82018d2b96e5561 | [
"Apache-2.0"
] | 116 | 2015-10-18T02:57:08.000Z | 2022-03-15T04:09:18.000Z | tacker/sol_refactored/common/vnf_instance_utils.py | h1r0mu/tacker | 8c69dda51fcfe215c4878a86b82018d2b96e5561 | [
"Apache-2.0"
] | 6 | 2016-11-07T22:15:54.000Z | 2021-05-09T06:13:08.000Z | tacker/sol_refactored/common/vnf_instance_utils.py | h1r0mu/tacker | 8c69dda51fcfe215c4878a86b82018d2b96e5561 | [
"Apache-2.0"
] | 166 | 2015-10-20T15:31:52.000Z | 2021-11-12T08:39:49.000Z | # Copyright (C) 2021 Nippon Telegraph and Telephone Corporation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICE... | 32.217949 | 78 | 0.68842 |
bcfca1189da0e63d3e685ea19031e90196e49d8d | 719 | py | Python | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | # compatibility module for different python versions
import sys
if sys.version_info[:2] > (3, 0):
PY2 = False
PY3 = True
Bytes = bytes
Unicode = str
basestring = str
class_type_name = 'class'
ClassType = type
exception_module = 'builtins'
new_class = type
self_name = '__self_... | 18.435897 | 52 | 0.635605 |
bcfd55447233f3a98240a98d95e5f9301c8b38ec | 3,898 | py | Python | old_py2/tests/models_tests/notifications/test_match_score.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | tests/models_tests/notifications/test_match_score.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | tests/models_tests/notifications/test_match_score.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | import re
import unittest2
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from consts.notification_type import NotificationType
from helpers.event.event_test_creator import EventTestCreator
from models.team import Team
from models.notifications.match_score import MatchScoreNotification... | 41.913978 | 94 | 0.69882 |
bcfdc746f65446c3a274947a1481597ff88c7469 | 5,406 | py | Python | util/submission/templates.py | jeanlucf22/mgmol | 4e79bc32c14c8a47ae18ad0659ea740719c8b77f | [
"BSD-3-Clause-LBNL",
"FSFAP"
] | 25 | 2018-12-29T03:33:01.000Z | 2021-05-08T12:52:27.000Z | util/submission/templates.py | jeanlucf22/mgmol | 4e79bc32c14c8a47ae18ad0659ea740719c8b77f | [
"BSD-3-Clause-LBNL",
"FSFAP"
] | 121 | 2018-12-19T02:38:21.000Z | 2021-12-20T16:29:24.000Z | util/submission/templates.py | jeanlucf22/mgmol | 4e79bc32c14c8a47ae18ad0659ea740719c8b77f | [
"BSD-3-Clause-LBNL",
"FSFAP"
] | 15 | 2019-02-17T05:28:43.000Z | 2022-02-28T05:24:11.000Z | md_template_d144 = """verbosity=0
xcFunctional=PBE
FDtype=4th
[Mesh]
nx=160
ny=80
nz=80
[Domain]
ox=0.
oy=0.
oz=0.
lx=42.4813
ly=21.2406
lz=21.2406
[Potentials]
pseudopotential=pseudo.D_tm_pbe
[Poisson]
solver=@
max_steps_initial=@50
max_steps=@50
reset=@
bcx=periodic
bcy=periodic
bcz=periodic
[Run]
type=MD
[MD]
type=@... | 17.216561 | 119 | 0.663707 |
bcfde8681fdc58448a7018049cb36bbab73499b0 | 21,700 | py | Python | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
import copy
from copy import deepcopy
import rospy
import threading
import quaternion
import numpy as np
from geometry_msgs.msg import Point
from visualization_msgs.msg import *
from franka_interface import ArmInterface
from panda_robot import PandaArm
import matplotlib.pyplot as plt
from scipy.s... | 36.842105 | 267 | 0.638157 |
bcfe9ac7b39f229df7d1b4504478244ea3835c1b | 483 | py | Python | tests/migrations/0010_modeltest_datetime_field1.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 2 | 2020-03-17T00:53:23.000Z | 2020-07-16T07:00:33.000Z | tests/migrations/0010_modeltest_datetime_field1.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 76 | 2019-12-05T01:15:57.000Z | 2021-09-07T16:47:27.000Z | tests/migrations/0010_modeltest_datetime_field1.py | intellineers/django-bridger | ed097984a99df7da40a4d01bd00c56e3c6083056 | [
"BSD-3-Clause"
] | 1 | 2020-02-05T15:09:47.000Z | 2020-02-05T15:09:47.000Z | # Generated by Django 2.2.9 on 2020-01-28 14:50
import django.utils.timezone
from django.db import migrations, models
| 23 | 74 | 0.63354 |
4c016da0c81742ef879e9615198cd22dc666a5c6 | 6,998 | py | Python | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 4 | 2019-09-23T17:12:42.000Z | 2022-02-01T02:38:40.000Z | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 2 | 2019-09-20T12:56:21.000Z | 2019-09-24T23:08:26.000Z | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 1 | 2019-12-18T20:47:20.000Z | 2019-12-18T20:47:20.000Z | """
Author: Mohammad Dehghani Ashkezari <mdehghan@uw.edu>
Date: 2019-06-28
Function: Host a collection of shared multi-purpose helper functions.
"""
import os
import sys
from tqdm import tqdm
from colorama import Fore, Back, Style, init
import numpy as np
import pandas as pd
import webbrowser
import I... | 33.32381 | 131 | 0.572021 |
4c02744bf60501dd6a24f21c67c4971193de0e1a | 26,204 | py | Python | appengine/monorail/api/v3/api_proto/projects_pb2.py | fknittel/git-retry-build | 4d57dd6e8b7567daeb24b55f66bc5becd3d459f3 | [
"BSD-3-Clause"
] | null | null | null | appengine/monorail/api/v3/api_proto/projects_pb2.py | fknittel/git-retry-build | 4d57dd6e8b7567daeb24b55f66bc5becd3d459f3 | [
"BSD-3-Clause"
] | 4 | 2022-03-17T18:58:21.000Z | 2022-03-17T18:58:22.000Z | appengine/monorail/api/v3/api_proto/projects_pb2.py | fknittel/git-retry-build | 4d57dd6e8b7567daeb24b55f66bc5becd3d459f3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: api/v3/api_proto/projects.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
f... | 43.240924 | 2,750 | 0.781942 |
4c03d0743c0121e9d0de50ceaa47b8661683af6f | 2,207 | py | Python | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | """Testing Device operations."""
import json
import unittest.mock as mock
from click.testing import CliRunner
import homeassistant_cli.cli as cli
def test_device_list(default_devices) -> None:
"""Test Device List."""
with mock.patch(
'homeassistant_cli.remote.get_devices', return_value=default_devic... | 29.824324 | 76 | 0.557771 |
4c03f5083b7da646254c6bd784cf88ab749969d1 | 4,350 | py | Python | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 6 | 2020-08-10T13:09:03.000Z | 2021-11-20T02:37:46.000Z | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 3 | 2021-02-16T06:20:23.000Z | 2022-02-24T21:43:41.000Z | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 2 | 2021-02-16T05:02:04.000Z | 2021-12-17T16:11:10.000Z | from PyQt5.QtWidgets import QAction, QTreeWidget, QTreeWidgetItem, QFileDialog
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import Qt
import animations.general_animation as j3d
from widgets.yaz0 import compress, compress_slow, compress_fast
from io import BytesIO | 37.5 | 116 | 0.55931 |
4c040273405e24f9a3249bb42b05984c6988f41a | 3,445 | py | Python | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | #Create the pre-defined song values and empty variables...Correct names not used so each starting letter would be unique
numbers = (1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 )
letters = ['a ','b ','c ','d ','e ','f ','g ','h ','i ','j ','k ','l ','m ','n ','o ','p ','q ','r ']
roman = ['I ', 'II ... | 37.445652 | 204 | 0.54688 |
4c0417fc2a324560f940489498afd9c4d64ac7c7 | 15,792 | py | Python | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | # (c) 2012-2014 Continuum Analytics, Inc. / http://continuum.io
# All Rights Reserved
#
# conda is distributed under the terms of the BSD 3-clause license.
# Consult LICENSE.txt or http://opensource.org/licenses/BSD-3-Clause.
import os
from os.path import dirname, join, exists
import unittest
import pytest
import con... | 30.31094 | 111 | 0.597138 |
4c045d0953c279b203d260f5d6f3f9a0b7bdf019 | 3,579 | py | Python | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | 1 | 2021-03-19T22:42:34.000Z | 2021-03-19T22:42:34.000Z | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | null | null | null | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | null | null | null | # Bert has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model,
# by Alex Wang, Kyunghyun Cho, NeuralGen 2019
# https://colab.research.google.com/drive/1MxKZGtQ9SSBjTK5ArsZ5LKhkztzg52RV
# https://arxiv.org/abs/1902.04094
import tensorflow as tf
import tensorflow_probability as tfp
import numpy as ... | 28.632 | 84 | 0.626991 |
4c045e92df54148ce6ef4110afe95ac625400e40 | 652 | py | Python | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null |
"""
[E] Given a sorted array, create a new array containing squares of all the
number of the input array in the sorted order.
Input: [-2, -1, 0, 2, 3]
Output: [0, 1, 4, 4, 9]
"""
# Time: O(N) Space: O(n)
| 19.757576 | 75 | 0.619632 |
4c060ddce60243c22acf2298bfd181a17b757f40 | 1,917 | py | Python | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | 5 | 2020-05-20T12:41:31.000Z | 2022-03-18T17:35:26.000Z | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | null | null | null | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | 5 | 2020-06-03T12:19:20.000Z | 2021-12-30T02:58:06.000Z | import os
from azureml.pipeline.steps import PythonScriptStep
from azureml.core.runconfig import RunConfiguration
from azureml.core.conda_dependencies import CondaDependencies
from azureml.pipeline.core import PipelineData
from azureml.pipeline.core import PipelineParameter
from azureml.pipeline.steps import EstimatorS... | 34.232143 | 87 | 0.708399 |
4c0955be4956893e543176a5a678b0a7caa5514d | 4,806 | py | Python | configs/mobilenet_cfbi.py | yoxu515/CFBI | 0bab1e3c9fc3e3ba0629f716d60221e8f8d9d586 | [
"BSD-3-Clause"
] | 312 | 2020-03-15T03:51:52.000Z | 2022-03-23T07:33:39.000Z | configs/mobilenet_cfbi.py | geekJZY/CFBI | 90a0cd6a3e7961f47f266c7620e8dc281dc43ac8 | [
"BSD-3-Clause"
] | 55 | 2020-06-27T06:39:27.000Z | 2022-03-24T19:02:15.000Z | configs/mobilenet_cfbi.py | geekJZY/CFBI | 90a0cd6a3e7961f47f266c7620e8dc281dc43ac8 | [
"BSD-3-Clause"
] | 41 | 2020-07-28T00:52:04.000Z | 2022-03-25T08:49:47.000Z | import torch
import argparse
import os
import sys
import cv2
import time
cfg = Configuration()
| 36.687023 | 123 | 0.645651 |
4c09b0745eee677f40540659a3c584b6e7535d0a | 968 | py | Python | js/matrixjs/matrix_compile.py | kennytilton/ConnectJS | a16121052839b6f447718dccb008761d92094885 | [
"MIT"
] | 7 | 2017-07-31T20:28:33.000Z | 2020-11-23T13:18:20.000Z | js/matrixjs/matrix_compile.py | kennytilton/ConnectJS | a16121052839b6f447718dccb008761d92094885 | [
"MIT"
] | null | null | null | js/matrixjs/matrix_compile.py | kennytilton/ConnectJS | a16121052839b6f447718dccb008761d92094885 | [
"MIT"
] | 1 | 2020-02-26T06:09:33.000Z | 2020-02-26T06:09:33.000Z | #!/usr/bin/python2.4
import httplib, urllib, sys
# Define the parameters for the POST request and encode them in
# a URL-safe format.
params = urllib.urlencode([
#('js_code', sys.argv[1]),
('code_url', 'https://raw.githubusercontent.com/kennytilton/MatrixJS/master/js/matrixjs/js/Matrix/Cells.js'),
('code... | 38.72 | 113 | 0.72314 |
4c09c2107e354abe29a0559333bd163e132e44d0 | 4,551 | py | Python | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 33.463235 | 80 | 0.702703 |
4c0a433f8f2a1c5fe05d98092959a53a97b1beea | 8,767 | bzl | Python | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 16,989 | 2015-09-01T19:57:15.000Z | 2022-03-31T23:54:00.000Z | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 12,562 | 2015-09-01T09:06:01.000Z | 2022-03-31T22:26:20.000Z | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 3,707 | 2015-09-02T19:20:01.000Z | 2022-03-31T17:06:14.000Z | # Copyright 2020 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 37.626609 | 130 | 0.666705 |
4c0ab106ed9ecd5a4593bfc5cb160cb433ae9bfc | 2,563 | py | Python | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | 1 | 2015-02-10T23:26:39.000Z | 2015-02-10T23:26:39.000Z | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | from couchdbkit import ResourceNotFound
from tastypie import fields as tp_f
from corehq.apps.api.resources import JsonResource
from corehq.apps.api.resources.v0_1 import (
CustomResourceMeta,
RequirePermissionAuthentication,
)
from corehq.apps.api.util import get_object_or_not_exist
from corehq.apps.fixtures.mo... | 39.430769 | 79 | 0.673039 |
4c0ab34e213a6cac6f714e8bdb911bff09620f44 | 24,467 | py | Python | tests/test_domain.py | broadinstitute/cert_manager_api | 3a9c3445ff32ecd29ab47e7a049c47155b72614a | [
"BSD-3-Clause"
] | null | null | null | tests/test_domain.py | broadinstitute/cert_manager_api | 3a9c3445ff32ecd29ab47e7a049c47155b72614a | [
"BSD-3-Clause"
] | null | null | null | tests/test_domain.py | broadinstitute/cert_manager_api | 3a9c3445ff32ecd29ab47e7a049c47155b72614a | [
"BSD-3-Clause"
] | 1 | 2022-03-17T16:33:46.000Z | 2022-03-17T16:33:46.000Z | # -*- coding: utf-8 -*-
"""Define the cert_manager.domain.Domain unit tests."""
# Don't warn about things that happen as that is part of unit testing
# pylint: disable=protected-access
# pylint: disable=no-member
import json
from requests.exceptions import HTTPError
from testtools import TestCase
import responses
f... | 32.666222 | 107 | 0.647484 |
4c0acd1ef9075a9d08118479182c8461e04d6e01 | 3,844 | py | Python | texts.py | ProtKsen/pgame | c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92 | [
"MIT"
] | 2 | 2021-04-14T09:49:27.000Z | 2022-03-08T17:26:49.000Z | texts.py | ProtKsen/pgame | c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92 | [
"MIT"
] | null | null | null | texts.py | ProtKsen/pgame | c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92 | [
"MIT"
] | 2 | 2021-01-11T12:09:26.000Z | 2021-04-14T09:49:45.000Z | """Text parts."""
SEPARATOR = '----------------------------------'
CONT_GAME = 'enter '
GREETING = ' '' ''!\n' \
' , ' \
' !'
NAME_QUESTION = ' ?'
CHOOSE_LEVEL = ' , ' \
' . \n' \
'1 - \n' \
'2 - \n' \
'3 - '
IN... | 48.05 | 90 | 0.533299 |
4c0b4ff66b7c9992658d93e432fdd2bd5452694f | 3,587 | py | Python | api/migrations/0001_initial.py | alerin345/Instagram-React | 25dfbcbff2a2d050e4f2804a74cd7c901cd2cb66 | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | alerin345/Instagram-React | 25dfbcbff2a2d050e4f2804a74cd7c901cd2cb66 | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | alerin345/Instagram-React | 25dfbcbff2a2d050e4f2804a74cd7c901cd2cb66 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2021-01-07 00:42
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
| 48.472973 | 170 | 0.611096 |
4c0c9d4712283b7b6b90ddca4309f49cea6694d9 | 737 | py | Python | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 21 | 2021-03-30T19:39:46.000Z | 2022-03-30T22:27:39.000Z | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 12 | 2021-03-30T20:52:15.000Z | 2022-02-23T09:20:42.000Z | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 6 | 2021-04-03T19:17:55.000Z | 2021-12-20T10:20:57.000Z | import os
import importlib
| 29.48 | 79 | 0.561737 |
4c0d5b44bfd54d1398052b98c3fc9dbc04be5c4f | 601 | py | Python | app/mod_ecomm/controllers.py | VikrantReddy/Instagram2Shop | 8d9c3f39d277fafb56d10a87a1b62a6df8a74237 | [
"MIT"
] | null | null | null | app/mod_ecomm/controllers.py | VikrantReddy/Instagram2Shop | 8d9c3f39d277fafb56d10a87a1b62a6df8a74237 | [
"MIT"
] | null | null | null | app/mod_ecomm/controllers.py | VikrantReddy/Instagram2Shop | 8d9c3f39d277fafb56d10a87a1b62a6df8a74237 | [
"MIT"
] | null | null | null | from flask import Blueprint, Flask, send_from_directory
from werkzeug.security import check_password_hash, generate_password_hash
from app import db
from app.mod_auth.forms import LoginForm
from app.mod_auth.models import User
mod_ecomm = Blueprint('products', __name__, url_prefix='/products',
... | 33.388889 | 74 | 0.71381 |
4c0dc6446f67b743dcdbd74576706d0d6a1843b4 | 118 | py | Python | dagr_selenium/crawl_watchlist.py | phillmac/dagr_selenium | b7417a878fe4c171625a40e746113ae2c0222335 | [
"MIT"
] | null | null | null | dagr_selenium/crawl_watchlist.py | phillmac/dagr_selenium | b7417a878fe4c171625a40e746113ae2c0222335 | [
"MIT"
] | 1 | 2021-12-14T06:05:26.000Z | 2021-12-14T06:05:26.000Z | dagr_selenium/crawl_watchlist.py | phillmac/dagr_selenium | b7417a878fe4c171625a40e746113ae2c0222335 | [
"MIT"
] | null | null | null | from .functions import monitor_watchlist_action, manager
with manager.get_dagr():
monitor_watchlist_action()
| 23.6 | 57 | 0.788136 |
4c0e902c9bd14492f727e042bd245ed10c04c202 | 2,739 | py | Python | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 2 | 2020-12-30T07:46:12.000Z | 2022-02-01T16:37:34.000Z | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 7 | 2021-04-14T16:17:29.000Z | 2022-01-25T11:48:18.000Z | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 1 | 2021-06-06T09:46:47.000Z | 2021-06-06T09:46:47.000Z | import pprint
import logging
from django.conf import settings
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from zenslackchat.message import handler
from zenslackchat.models import SlackApp
from zenslackchat.models import ZendeskApp
| 38.041667 | 79 | 0.649507 |
4c0ea6f1c1da094761872bcebae0cfc6089b3d54 | 16,882 | py | Python | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | 2 | 2021-09-16T06:31:45.000Z | 2022-03-09T19:59:55.000Z | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | null | null | null | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | 2 | 2021-05-11T14:41:01.000Z | 2021-05-14T05:59:38.000Z | # Copyright 2020 University Of Delhi.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 25.197015 | 91 | 0.65093 |
4c0f174360fe29201e22d16e102aa2c61bad20f2 | 262 | py | Python | production/pygsl-0.9.5/testing/__init__.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | production/pygsl-0.9.5/testing/__init__.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/testing/__init__.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | """
Here you find either new implemented modules or alternate implementations
of already modules. This directory is intended to have a second implementation
beside the main implementation to have a discussion which implementation to
favor on the long run.
"""
| 37.428571 | 78 | 0.80916 |
4c10bad25f060a9091150e60b188f22ceaae17b0 | 14,801 | py | Python | PythonServer/UnitTestCasesForWebSocket.py | Cyberlightning/2D-3DCapture | e5fdcec4f25358fc1964068180e4e774f45daa8a | [
"Apache-2.0"
] | 2 | 2015-11-04T10:21:48.000Z | 2016-03-07T15:14:35.000Z | 2D-3D-Capture/PythonServer/UnitTestCasesForWebSocket.py | Cyberlightning/Cyber-WeX | 11dc560b7a30eb31c1dfa18196f6a0760648f9a7 | [
"Apache-2.0"
] | null | null | null | 2D-3D-Capture/PythonServer/UnitTestCasesForWebSocket.py | Cyberlightning/Cyber-WeX | 11dc560b7a30eb31c1dfa18196f6a0760648f9a7 | [
"Apache-2.0"
] | null | null | null | '''
Created on Mar 6, 2014
@author: tharanga
'''
import unittest
from time import sleep
import EventService as es
from EventService import WebSocketServer as ws
from EventService import EventManager as em
import socket
from base64 import b64encode
import struct
import MySQLdb
import json
import EventService
import fl... | 57.368217 | 386 | 0.646375 |
4c1112a8d3df95d531441fb2f11172b25c1ca8ae | 1,945 | py | Python | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | 1 | 2021-03-18T16:20:46.000Z | 2021-03-18T16:20:46.000Z | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | 2 | 2019-06-04T21:50:23.000Z | 2019-06-14T13:20:50.000Z | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | null | null | null | import os
import threading
import time
import unittest
from OpenDrive.client_side import file_changes_json as c_json
from OpenDrive.client_side import interface
from OpenDrive.client_side import main
from OpenDrive.client_side import paths as client_paths
from OpenDrive.server_side import paths as server_paths
from te... | 42.282609 | 108 | 0.748586 |
4c131d63691e04e79320d304f39d4fe881bda148 | 1,850 | py | Python | site-packages/skimage/io/tests/test_io.py | oz90210/Pyto | 59f185149b71e57e5debeb1c9a61a28739e81720 | [
"MIT"
] | null | null | null | site-packages/skimage/io/tests/test_io.py | oz90210/Pyto | 59f185149b71e57e5debeb1c9a61a28739e81720 | [
"MIT"
] | 1 | 2020-04-25T20:36:07.000Z | 2020-04-25T20:36:07.000Z | site-packages/skimage/io/tests/test_io.py | Wristlebane/Pyto | 901ac307b68486d8289105c159ca702318bea5b0 | [
"MIT"
] | null | null | null | import os
import numpy as np
from skimage import io, data_dir
from skimage._shared import testing
from skimage._shared.testing import assert_array_equal
one_by_one_jpeg = (
b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01'
b'\x00\x01\x00\x00\xff\xdb\x00C\x00\x03\x02\x02\x02\x02'
b'\x02\x03\x02\x02... | 33.636364 | 70 | 0.677838 |