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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f72cd9912a6e17b5b29517176042c7b23c21a2e0 | 557 | py | Python | DiseaseIdentifier/DiseaseClassify/migrations/0001_initial.py | Rosan93/Disease-Identifier | 6bf311c833ecaa3769ebf09c6d752a9ec7ebfdb4 | [
"Apache-2.0"
] | null | null | null | DiseaseIdentifier/DiseaseClassify/migrations/0001_initial.py | Rosan93/Disease-Identifier | 6bf311c833ecaa3769ebf09c6d752a9ec7ebfdb4 | [
"Apache-2.0"
] | 18 | 2020-01-28T22:44:38.000Z | 2021-06-10T18:55:20.000Z | DiseaseIdentifier/DiseaseClassify/migrations/0001_initial.py | RoshanGurungSr/Disease-Identifier | 6bf311c833ecaa3769ebf09c6d752a9ec7ebfdb4 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.1 on 2019-05-15 08:29
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UploadImage',
fields=[
('id', models.AutoFi... | 24.217391 | 114 | 0.574506 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UploadImage',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serial... | true | true |
f72cdab5d2b024368267933b507634792f303004 | 472 | py | Python | venv/Scripts/easy_install-3.8-script.py | rushermonza/CoronavirusWebScraper | 4c7d31dbb51ae7d791c620673ca6f36d1ef43e3e | [
"MIT"
] | 1 | 2020-04-04T04:55:20.000Z | 2020-04-04T04:55:20.000Z | venv/Scripts/easy_install-3.8-script.py | AntoData/CoronavirusWebScraper | 4c7d31dbb51ae7d791c620673ca6f36d1ef43e3e | [
"MIT"
] | null | null | null | venv/Scripts/easy_install-3.8-script.py | AntoData/CoronavirusWebScraper | 4c7d31dbb51ae7d791c620673ca6f36d1ef43e3e | [
"MIT"
] | null | null | null | #!C:\Users\ingov\PycharmProjects\CoronavirusWebScraper\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install-3.8'
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r... | 36.307692 | 87 | 0.70339 |
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('setuptools==40.8.0', 'console_scripts', 'easy_install-3.8')()
)
| true | true |
f72cdb329eab3ceed1d52538e15d5d30dc8b84c0 | 9,798 | py | Python | sphinx-doc/conf.py | kmoskovtsev/HOOMD-Blue-fork | 99560563a5ba9e082b513764bae51a84f48fdc70 | [
"BSD-3-Clause"
] | null | null | null | sphinx-doc/conf.py | kmoskovtsev/HOOMD-Blue-fork | 99560563a5ba9e082b513764bae51a84f48fdc70 | [
"BSD-3-Clause"
] | null | null | null | sphinx-doc/conf.py | kmoskovtsev/HOOMD-Blue-fork | 99560563a5ba9e082b513764bae51a84f48fdc70 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# HOOMD-blue documentation build configuration file, created by
# sphinx-quickstart on Sun Mar 13 13:14:54 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
#... | 32.66 | 95 | 0.716881 |
import sys
import os
sys.path.insert(0, os.path.abspath('..'))
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.autosummary',
'sphinx.ext.napoleon',
'sphinx.ext.intersphinx',
'sphinx.ext.mathjax'
]
intersphinx_mapping = {'python': ('https://docs.python.org/3', None)}
aut... | true | true |
f72cdbc3ff47642e64c41dd8ddf1126531344739 | 1,481 | py | Python | trac/upgrades/db45.py | NetSpida/trac | 6ad75b926591e114ba504f6a72a38fd305d77fb1 | [
"BSD-3-Clause"
] | null | null | null | trac/upgrades/db45.py | NetSpida/trac | 6ad75b926591e114ba504f6a72a38fd305d77fb1 | [
"BSD-3-Clause"
] | null | null | null | trac/upgrades/db45.py | NetSpida/trac | 6ad75b926591e114ba504f6a72a38fd305d77fb1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at http://trac.edgewall.com/license.html.
#
# This software consists of vo... | 33.659091 | 72 | 0.665766 |
import re
from trac.upgrades import backup_config_file
def do_upgrade(env, version, cursor):
config = env.config
section = 'notification'
re_template_var = re.compile(r'\$([\w.]+)')
def update_template(name):
old_value = config.get(section, name)
if old_value:
... | true | true |
f72cdbeb98f60ad142bf63a1d749cae5063e128a | 13,596 | py | Python | train_shape.py | EXJUSTICE/pointnet2 | 749a38fde6370fc7dee535855008bc5bc8468c0e | [
"MIT"
] | null | null | null | train_shape.py | EXJUSTICE/pointnet2 | 749a38fde6370fc7dee535855008bc5bc8468c0e | [
"MIT"
] | null | null | null | train_shape.py | EXJUSTICE/pointnet2 | 749a38fde6370fc7dee535855008bc5bc8468c0e | [
"MIT"
] | null | null | null | '''
Single-GPU training.
Will use H5 dataset in default. If using normal, will shift to the normal dataset.
'''
import argparse
import math
from datetime import datetime
import h5py
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import socket
import importlib
import os
import sys
... | 42.62069 | 186 | 0.629009 | '''
Single-GPU training.
Will use H5 dataset in default. If using normal, will shift to the normal dataset.
'''
import argparse
import math
from datetime import datetime
import h5py
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import socket
import importlib
import os
import sys
... | false | true |
f72cdbf3665a2f5be56dde69f5e801552be52144 | 4,726 | py | Python | Code/PostProcessing/Cloud.py | ChimieleCode/OpenSees_Script | 58dcd187e5eda1bf92f8f2c4fc83b74d9108372d | [
"MIT"
] | null | null | null | Code/PostProcessing/Cloud.py | ChimieleCode/OpenSees_Script | 58dcd187e5eda1bf92f8f2c4fc83b74d9108372d | [
"MIT"
] | null | null | null | Code/PostProcessing/Cloud.py | ChimieleCode/OpenSees_Script | 58dcd187e5eda1bf92f8f2c4fc83b74d9108372d | [
"MIT"
] | null | null | null | import csv
import math
from ModelOptions import compute_local_fragility
from PostProcessing.SectionGaps import global_DCR_DS1, global_DCR_DS2, global_DCR_DST, demand_capacity_ratio_DS1_matrix, demand_capacity_ratio_DS2_matrix, demand_capacity_ratio_DST_matrix
from AnalysisDefinition.TimeHistory import spectral_re... | 45.883495 | 1,734 | 0.566018 | import csv
import math
from ModelOptions import compute_local_fragility
from PostProcessing.SectionGaps import global_DCR_DS1, global_DCR_DS2, global_DCR_DST, demand_capacity_ratio_DS1_matrix, demand_capacity_ratio_DS2_matrix, demand_capacity_ratio_DST_matrix
from AnalysisDefinition.TimeHistory import spectral_re... | true | true |
f72cdcf0abad5566c247daf49ce163498192f41a | 727 | py | Python | stats/data.py | 1in1/Python-Baseball | 4c76d65330ff7eb88c87057be02bbddb50dd325b | [
"MIT"
] | null | null | null | stats/data.py | 1in1/Python-Baseball | 4c76d65330ff7eb88c87057be02bbddb50dd325b | [
"MIT"
] | null | null | null | stats/data.py | 1in1/Python-Baseball | 4c76d65330ff7eb88c87057be02bbddb50dd325b | [
"MIT"
] | null | null | null | import os
import glob
import pandas as pd
game_files = glob.glob(os.path.join(os.getcwd(), 'games', '*.EVE'))
game_files.sort()
game_frames = []
for game_file in game_files:
game_frame = pd.read_csv(game_file, names=['type','multi2','multi3','multi4','multi5','multi6','event'])
game_frames.append(game_frame)
... | 30.291667 | 108 | 0.678129 | import os
import glob
import pandas as pd
game_files = glob.glob(os.path.join(os.getcwd(), 'games', '*.EVE'))
game_files.sort()
game_frames = []
for game_file in game_files:
game_frame = pd.read_csv(game_file, names=['type','multi2','multi3','multi4','multi5','multi6','event'])
game_frames.append(game_frame)
... | true | true |
f72cdd30f4d4087803dd4184985189860ea51326 | 2,545 | py | Python | examples/other_examples/PyFstat_example_twoF_cumulative.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 16 | 2020-01-28T08:40:02.000Z | 2022-03-02T05:26:50.000Z | examples/other_examples/PyFstat_example_twoF_cumulative.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 294 | 2020-02-04T17:15:26.000Z | 2022-03-30T13:53:48.000Z | examples/other_examples/PyFstat_example_twoF_cumulative.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 10 | 2020-02-04T16:57:55.000Z | 2022-02-03T00:12:25.000Z | """
Cumulative coherent 2F
======================
Compute the cumulative coherent F-statistic of a signal candidate.
"""
import os
import numpy as np
import pyfstat
from pyfstat.helper_functions import get_predict_fstat_parameters_from_dict
label = "PyFstat_example_twoF_cumulative"
outdir = os.path.join("PyFstat_e... | 25.45 | 85 | 0.633792 |
import os
import numpy as np
import pyfstat
from pyfstat.helper_functions import get_predict_fstat_parameters_from_dict
label = "PyFstat_example_twoF_cumulative"
outdir = os.path.join("PyFstat_example_data", label)
gw_data = {
"sqrtSX": 1e-23,
"tstart": 1000000000,
"duration": 100 * 86400,
"detect... | true | true |
f72cdd942be71ea6f27d319f22d0edf089185019 | 69,689 | py | Python | src/transformers/models/unispeech/modeling_unispeech.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 2 | 2022-01-12T13:10:05.000Z | 2022-01-12T13:10:28.000Z | src/transformers/models/unispeech/modeling_unispeech.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | 2 | 2022-03-08T04:58:59.000Z | 2022-03-19T03:45:14.000Z | src/transformers/models/unispeech/modeling_unispeech.py | bugface/transformers | ba286fe7d51db12ad663effac83bed8199dd7141 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Fairseq Authors and the HuggingFace Inc. team. 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/... | 43.967823 | 164 | 0.676606 |
import math
import warnings
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import CrossEntropyLoss
from ...activations import ACT2FN
from ...deepspeed import is_deepspeed_zero3_... | true | true |
f72cde285309d6d399c8446c716859a2af197049 | 294 | py | Python | product/serializers.py | RKatana/inventory-app-django | a31614237daa5a2d62e30e51b9e573968ef3f0c0 | [
"Apache-2.0"
] | null | null | null | product/serializers.py | RKatana/inventory-app-django | a31614237daa5a2d62e30e51b9e573968ef3f0c0 | [
"Apache-2.0"
] | null | null | null | product/serializers.py | RKatana/inventory-app-django | a31614237daa5a2d62e30e51b9e573968ef3f0c0 | [
"Apache-2.0"
] | null | null | null | from rest_framework import serializers
from product.models import Product
class ProductSerializer(serializers.ModelSerializer):
class Meta:
model = Product
fields = '__all__'
class ProductListSerializer(serializers.ModelSerializer):
class Meta:
model = Product
fields = ('store',)
| 21 | 57 | 0.785714 | from rest_framework import serializers
from product.models import Product
class ProductSerializer(serializers.ModelSerializer):
class Meta:
model = Product
fields = '__all__'
class ProductListSerializer(serializers.ModelSerializer):
class Meta:
model = Product
fields = ('store',)
| true | true |
f72cde9e2a18d5047df425b607f0e92be3a3846e | 1,685 | py | Python | example/app/odnoklassniki.py | NorthIsUp/django-social-auth | 9afedc8ea777b32611d43c1c367babe2e3b18a90 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 863 | 2015-01-01T00:42:07.000Z | 2022-03-30T02:47:18.000Z | example/app/odnoklassniki.py | JohnieLee/django-social-auth | de36265a4799c435751d9af42ddf6fe7e7a90e0a | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 101 | 2015-01-08T00:28:16.000Z | 2022-03-07T03:11:19.000Z | example/app/odnoklassniki.py | JohnieLee/django-social-auth | de36265a4799c435751d9af42ddf6fe7e7a90e0a | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 256 | 2015-01-02T16:55:36.000Z | 2022-03-04T11:10:47.000Z | # -*- coding:utf-8 -*-
from django.conf import settings
from django.contrib.auth import BACKEND_SESSION_KEY, logout
from django.contrib.auth.models import AnonymousUser
from django.http import HttpResponse
from django.shortcuts import redirect
from django.views.generic.base import TemplateView
from social_auth.views im... | 42.125 | 132 | 0.706231 |
from django.conf import settings
from django.contrib.auth import BACKEND_SESSION_KEY, logout
from django.contrib.auth.models import AnonymousUser
from django.http import HttpResponse
from django.shortcuts import redirect
from django.views.generic.base import TemplateView
from social_auth.views import complete
SANDBOX... | true | true |
f72cdf8621755d98f90f575e4d4b84f0878e736f | 973 | py | Python | setup.py | tjsego/simservice | 1ca1df4c6644f22217645575719cfa72f5b9f895 | [
"MIT"
] | 1 | 2021-08-08T03:15:47.000Z | 2021-08-08T03:15:47.000Z | setup.py | tjsego/simservice | 1ca1df4c6644f22217645575719cfa72f5b9f895 | [
"MIT"
] | null | null | null | setup.py | tjsego/simservice | 1ca1df4c6644f22217645575719cfa72f5b9f895 | [
"MIT"
] | null | null | null | import os
from setuptools import setup
__version__ = open(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'VERSION.txt')).readline().strip()
setup(
name='simservice',
version=__version__,
description='A library for building simulation services in Python',
url='https://github.com/tjsego/simser... | 29.484848 | 110 | 0.626927 | import os
from setuptools import setup
__version__ = open(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'VERSION.txt')).readline().strip()
setup(
name='simservice',
version=__version__,
description='A library for building simulation services in Python',
url='https://github.com/tjsego/simser... | true | true |
f72cdfc48dda33940d0a57929d4878e17ec7d72c | 1,102 | py | Python | exercicios-com-listas/exercicio12.py | diegolinkk/exercicios-python-brasil | 3bf7bdf0e98cdd06c115eedae4fa01e0c25fdba5 | [
"MIT"
] | null | null | null | exercicios-com-listas/exercicio12.py | diegolinkk/exercicios-python-brasil | 3bf7bdf0e98cdd06c115eedae4fa01e0c25fdba5 | [
"MIT"
] | null | null | null | exercicios-com-listas/exercicio12.py | diegolinkk/exercicios-python-brasil | 3bf7bdf0e98cdd06c115eedae4fa01e0c25fdba5 | [
"MIT"
] | null | null | null | #Foram anotadas as idades e infos de 30 alunos. Faça um Programa que determine quantos alunos com mais de 13 anos
# possuem altura inferior à média de altura desses alunos.
from random import random,randint
alunos = []
for _ in range(30):
altura = 0 #zera porque senão altura não entra no laço novamente
ida... | 25.627907 | 114 | 0.686025 |
from random import random,randint
alunos = []
for _ in range(30):
altura = 0
idade = randint(1,90)
while altura < 1.40:
altura = random() * 2
aluno = []
aluno.append(round(altura,2))
aluno.append(idade)
alunos.append(aluno)
media_alturas = 0
for altura,idade in al... | true | true |
f72ce0eb629e9199e4a7dbe67896f97abd42dbec | 4,636 | py | Python | python/src/di_bq.py | cedadev/ceda-di | 5d7e21f28ead02d226c19f2831bc261897300b0f | [
"BSD-3-Clause-Clear"
] | 5 | 2015-04-17T08:52:34.000Z | 2020-07-02T13:32:41.000Z | python/src/di_bq.py | cedadev/ceda-di | 5d7e21f28ead02d226c19f2831bc261897300b0f | [
"BSD-3-Clause-Clear"
] | 14 | 2015-01-07T10:30:34.000Z | 2020-08-13T11:04:00.000Z | python/src/di_bq.py | cedadev/ceda-di | 5d7e21f28ead02d226c19f2831bc261897300b0f | [
"BSD-3-Clause-Clear"
] | 2 | 2016-01-27T11:31:34.000Z | 2017-05-18T13:37:18.000Z | #!/usr/bin/env python
"""
`di_bq.py` is a wrapper around the standard ceda-di tools to help parallelise
the processing of files using a batch queue.
This tool has two main functions:
* Generate lists of files to be processed in individual jobs by the queue
* Dispatch archive processing jobs to the batch queue
... | 30.906667 | 82 | 0.596204 |
import json
import os
from docopt import docopt
from ceda_di import __version__
from ceda_di.extract import Extract
import ceda_di.util.cmd as cmd
def dump_to_json(output_directory, seq, file_list):
out_name = "{seq}.json".format(seq=seq)
out_path = os.path.join(output_directory, out_name)
with ope... | true | true |
f72ce0efe3d0f872e2ed83a0a3cbfa7d5c6e9f5e | 9,361 | py | Python | layers/box_utils.py | sashuIya/ssd.pytorch | fe7d8722414fef4cce32f67422c896ef0c45d6bc | [
"MIT"
] | 1 | 2019-04-03T16:48:43.000Z | 2019-04-03T16:48:43.000Z | layers/box_utils.py | sashuIya/ssd.pytorch | fe7d8722414fef4cce32f67422c896ef0c45d6bc | [
"MIT"
] | null | null | null | layers/box_utils.py | sashuIya/ssd.pytorch | fe7d8722414fef4cce32f67422c896ef0c45d6bc | [
"MIT"
] | null | null | null | import torch
def point_form(boxes):
""" Convert prior_boxes to (xmin, ymin, xmax, ymax)
representation for comparison to point form ground truth data.
Args:
boxes: (tensor) center-size default boxes from priorbox layers.
Return:
boxes: (tensor) Converted xmin, ymin, xmax, ymax form of ... | 39.167364 | 80 | 0.609443 | import torch
def point_form(boxes):
return torch.cat((boxes[:, :2] - boxes[:, 2:]/2,
boxes[:, :2] + boxes[:, 2:]/2), 1)
def center_size(boxes):
return torch.cat((boxes[:, 2:] + boxes[:, :2])/2,
boxes[:, 2:] - boxes[:, :2], 1)
def intersect(box_a, box_b)... | true | true |
f72ce180f1675a5345ae733b6da480edb5ada453 | 1,749 | py | Python | test_package/conanfile.py | Twon/units | 7f64e55d044c8a8d9a5c6d4e4f55167409910749 | [
"MIT"
] | null | null | null | test_package/conanfile.py | Twon/units | 7f64e55d044c8a8d9a5c6d4e4f55167409910749 | [
"MIT"
] | null | null | null | test_package/conanfile.py | Twon/units | 7f64e55d044c8a8d9a5c6d4e4f55167409910749 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2018 Mateusz Pusz
#
# 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, modi... | 39.75 | 80 | 0.732419 |
from conans import ConanFile, tools, RunEnvironment
from conan.tools.cmake import CMakeToolchain, CMake, CMakeDeps
import os
class TestPackageConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
def generate(self):
tc = CMakeToolchain(self, generator=os.getenv(... | true | true |
f72ce1a65a7b1d2ab102ec79f285ac7ea3eedaeb | 49,449 | py | Python | coremltools/converters/mil/frontend/torch/test/test_torch_ops.py | freedomtan/coremltools | 5ee9b537b81c44c140a2fa7571e547dfaa24e1ea | [
"BSD-3-Clause"
] | 1 | 2020-12-23T15:42:01.000Z | 2020-12-23T15:42:01.000Z | coremltools/converters/mil/frontend/torch/test/test_torch_ops.py | freedomtan/coremltools | 5ee9b537b81c44c140a2fa7571e547dfaa24e1ea | [
"BSD-3-Clause"
] | null | null | null | coremltools/converters/mil/frontend/torch/test/test_torch_ops.py | freedomtan/coremltools | 5ee9b537b81c44c140a2fa7571e547dfaa24e1ea | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import sys
from coremltools.models.utils import _python_version
from coremltools.models.utils import... | 33.076254 | 145 | 0.563105 |
import sys
from coremltools.models.utils import _python_version
from coremltools.models.utils import _macos_version
from coremltools.converters.mil import testing_reqs
from coremltools.converters.mil.testing_reqs import *
from .testing_utils import *
from coremltools import TensorType, ImageType, RangeDim
backen... | true | true |
f72ce252a89798bc51b81ba3b3a05a173b92e02c | 8,096 | py | Python | Natural Language Processing with Attention Models/Week 4 - Chatbot/w4_unittest.py | meet-seth/Coursera-Deep-Learning | 6fbf9d406468c825ffa1ff2e177dbfd43084bace | [
"MIT"
] | 362 | 2020-10-08T07:34:25.000Z | 2022-03-30T05:11:30.000Z | NLP/Learn_by_deeplearning.ai/Course 4 - Attention Models /Labs/Week 4/w4_unittest.py | abcd1758323829/skills | 195fad43e99de5efe6491817ad2b79e12665cc2a | [
"MIT"
] | 7 | 2020-07-07T16:10:23.000Z | 2021-06-04T08:17:55.000Z | NLP/Learn_by_deeplearning.ai/Course 4 - Attention Models /Labs/Week 4/w4_unittest.py | abcd1758323829/skills | 195fad43e99de5efe6491817ad2b79e12665cc2a | [
"MIT"
] | 238 | 2020-10-08T12:01:31.000Z | 2022-03-25T08:10:42.000Z | import numpy as np
import trax
#from trax import layers as tl
#from trax.fastmath import numpy as fastnp
#from trax.supervised import training
# UNIT TEST for UNQ_C1
def test_get_conversation(target):
data = {'file1.json': {'log':[{'text': 'hi'},
{'text': 'hello'},
... | 31.874016 | 580 | 0.561018 | import numpy as np
import trax
def test_get_conversation(target):
data = {'file1.json': {'log':[{'text': 'hi'},
{'text': 'hello'},
{'text': 'nice'}]},
'file2.json':{'log':[{'text': 'a b'},
{'text'... | true | true |
f72ce29ddb1dc2f405d1811a6553b8fcc76db122 | 7,445 | py | Python | many_requests/many_requests_.py | 0xflotus/many_requests | dab3963eff471669f7b372cf488a2d9623270fab | [
"MIT"
] | null | null | null | many_requests/many_requests_.py | 0xflotus/many_requests | dab3963eff471669f7b372cf488a2d9623270fab | [
"MIT"
] | null | null | null | many_requests/many_requests_.py | 0xflotus/many_requests | dab3963eff471669f7b372cf488a2d9623270fab | [
"MIT"
] | null | null | null |
import logging
from json import JSONDecodeError
from typing import List, Optional, Dict, Union
import asks
import trio
from asks.errors import BadHttpResponse
from asks.response_objects import Response
from h11 import RemoteProtocolError
from .easy_async import EasyAsync, delayed, zip_kw
from .common import BadRespo... | 41.361111 | 127 | 0.595567 |
import logging
from json import JSONDecodeError
from typing import List, Optional, Dict, Union
import asks
import trio
from asks.errors import BadHttpResponse
from asks.response_objects import Response
from h11 import RemoteProtocolError
from .easy_async import EasyAsync, delayed, zip_kw
from .common import BadRespo... | true | true |
f72ce2a2454d1eafcfe45c1437983329f74f1dde | 1,804 | py | Python | src/robot/parsing/restsupport.py | phil-davis/robotframework | 4d4ce686cbe01e293bb86ea6ff34330e8c45fc43 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-09-21T17:13:24.000Z | 2019-09-24T19:13:25.000Z | src/robot/parsing/restsupport.py | phil-davis/robotframework | 4d4ce686cbe01e293bb86ea6ff34330e8c45fc43 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/robot/parsing/restsupport.py | phil-davis/robotframework | 4d4ce686cbe01e293bb86ea6ff34330e8c45fc43 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-12-30T14:05:02.000Z | 2019-12-30T14:05:02.000Z | # Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework Foundation
#
# 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
... | 32.214286 | 75 | 0.720621 |
from robot.errors import DataError
try:
from docutils.core import publish_doctree
from docutils.parsers.rst.directives import register_directive
from docutils.parsers.rst.directives.body import CodeBlock
except ImportError:
raise DataError("Using reStructuredText test data requires havin... | true | true |
f72ce2fc8328c2744c2230cbb122e8c573eb15fd | 3,512 | py | Python | app/app/settings.py | mlobina/recipe-app-API | 0ded3c37a84c109c469d1dd7db015e8d73d3e9f6 | [
"MIT"
] | null | null | null | app/app/settings.py | mlobina/recipe-app-API | 0ded3c37a84c109c469d1dd7db015e8d73d3e9f6 | [
"MIT"
] | null | null | null | app/app/settings.py | mlobina/recipe-app-API | 0ded3c37a84c109c469d1dd7db015e8d73d3e9f6 | [
"MIT"
] | 1 | 2021-08-25T06:29:11.000Z | 2021-08-25T06:29:11.000Z | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathlib imp... | 25.266187 | 91 | 0.691059 |
from pathlib import Path
import os
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = 'django-insecure-sumebxzlqerp)6^8g!b%n-)r03)4pxwioril1^4igma-3_iw=c'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'dj... | true | true |
f72ce338215fc493ab34b010dba156b5b7042cc3 | 948 | py | Python | barbican/model/migration/alembic_migrations/versions/4ecde3a3a72a_add_cas_column_to_project_quotas_table.py | mail2nsrajesh/barbican | d16d932b77486e9b2f8c6d30e628a6e66517b1a6 | [
"Apache-2.0"
] | 1 | 2020-03-01T05:01:57.000Z | 2020-03-01T05:01:57.000Z | barbican/model/migration/alembic_migrations/versions/4ecde3a3a72a_add_cas_column_to_project_quotas_table.py | kkutysllb/barbican | 7b14d983e0dce6dcffe9781b05c52335b8203fc7 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | barbican/model/migration/alembic_migrations/versions/4ecde3a3a72a_add_cas_column_to_project_quotas_table.py | kkutysllb/barbican | 7b14d983e0dce6dcffe9781b05c52335b8203fc7 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | #
# 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... | 27.882353 | 75 | 0.741561 |
revision = '4ecde3a3a72a'
down_revision = '10220ccbe7fa'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.add_column(
'project_quotas',
sa.Column('cas', sa.Integer(), nullable=True))
| true | true |
f72ce5c56cac97953d6d62c376de59376e33bee5 | 1,625 | py | Python | ParameterFiles/params_bootes_3as_ext.py | dunkenj/eazy-pype | 9cb8ac765d659ace36c00293a5809fc4a066e1ec | [
"MIT"
] | 1 | 2019-07-25T10:55:18.000Z | 2019-07-25T10:55:18.000Z | ParameterFiles/params_bootes_3as_ext.py | dunkenj/eazy-pype | 9cb8ac765d659ace36c00293a5809fc4a066e1ec | [
"MIT"
] | null | null | null | ParameterFiles/params_bootes_3as_ext.py | dunkenj/eazy-pype | 9cb8ac765d659ace36c00293a5809fc4a066e1ec | [
"MIT"
] | 1 | 2018-12-18T16:31:41.000Z | 2018-12-18T16:31:41.000Z | """
Main inputs:
(Change for all fields)
"""
eazypath = '/data2/ken/photoz/eazy-photoz/src/eazy'
working_folder = '/data2/ken/photoz/bootes_3as_ext'
photometry_catalog = 'Bootes_merged_Icorr_2014a_all_ap3_mags.zs.fits.mod'
photometry_format = 'fits'
filter_file = 'filter.bootes_mbrown_2014a.res'
translate_file = 'bro... | 18.895349 | 94 | 0.687385 | eazypath = '/data2/ken/photoz/eazy-photoz/src/eazy'
working_folder = '/data2/ken/photoz/bootes_3as_ext'
photometry_catalog = 'Bootes_merged_Icorr_2014a_all_ap3_mags.zs.fits.mod'
photometry_format = 'fits'
filter_file = 'filter.bootes_mbrown_2014a.res'
translate_file = 'brown.zphot.2014.translate'
zspec_col = 'z_spec'... | true | true |
f72ce61d9bb99f838eedbbc565639f110f2dfc86 | 14,763 | py | Python | tf_agents/bandits/agents/neural_linucb_agent_test.py | PeterDomanski/agents | 63c1c76f16f2068a637b26282c34a8825583e73e | [
"Apache-2.0"
] | 1 | 2021-07-16T04:44:19.000Z | 2021-07-16T04:44:19.000Z | tf_agents/bandits/agents/neural_linucb_agent_test.py | PeterDomanski/agents | 63c1c76f16f2068a637b26282c34a8825583e73e | [
"Apache-2.0"
] | null | null | null | tf_agents/bandits/agents/neural_linucb_agent_test.py | PeterDomanski/agents | 63c1c76f16f2068a637b26282c34a8825583e73e | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The TF-Agents 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 law... | 40.446575 | 110 | 0.721398 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from tf_agents.bandits.agents import neural_linucb_agent
from tf... | true | true |
f72ce6309a00519d759cb64bf82d33c3718dba6a | 2,373 | py | Python | src/fhir_types/FHIR_AdverseEvent_SuspectEntity.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | 2 | 2022-02-03T00:51:30.000Z | 2022-02-03T18:42:43.000Z | src/fhir_types/FHIR_AdverseEvent_SuspectEntity.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | null | null | null | src/fhir_types/FHIR_AdverseEvent_SuspectEntity.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | null | null | null | from typing import Any, List, Literal, TypedDict
from .FHIR_AdverseEvent_Causality import FHIR_AdverseEvent_Causality
from .FHIR_Reference import FHIR_Reference
from .FHIR_string import FHIR_string
# Actual or potential/avoided event causing unintended physical injury resulting from or contributed to by medical care... | 98.875 | 836 | 0.785925 | from typing import Any, List, Literal, TypedDict
from .FHIR_AdverseEvent_Causality import FHIR_AdverseEvent_Causality
from .FHIR_Reference import FHIR_Reference
from .FHIR_string import FHIR_string
FHIR_AdverseEvent_SuspectEntity = TypedDict(
"FHIR_AdverseEvent_SuspectEntity",
{
"id": FHIR_s... | true | true |
f72ce673fa0c764781f68e1466651c550042bccc | 13,709 | py | Python | src/attributecode/transform.py | oneforthidiot/aboutcode-toolkit | 666cc8857aadaeb4e07c540c817c831b0f3234e2 | [
"Apache-2.0"
] | 1 | 2021-01-02T08:16:55.000Z | 2021-01-02T08:16:55.000Z | src/attributecode/transform.py | oneforthidiot/aboutcode-toolkit | 666cc8857aadaeb4e07c540c817c831b0f3234e2 | [
"Apache-2.0"
] | null | null | null | src/attributecode/transform.py | oneforthidiot/aboutcode-toolkit | 666cc8857aadaeb4e07c540c817c831b0f3234e2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf8 -*-
# ============================================================================
# Copyright (c) 2013-2020 nexB Inc. http://www.nexb.com/ - All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 34.358396 | 87 | 0.665183 |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from collections import Counter
from collections import OrderedDict
import io
import json
import attr
from attributecode import CRITICAL
from attributecode import Error
from attributeco... | true | true |
f72ce7712b5c7dee583c54beb8325116fc9f9df8 | 1,742 | py | Python | util.py | marcelkotze007/mk007---ML-Python-library | 307e51762fc821588206440daa2c18a6128f4aec | [
"MIT"
] | null | null | null | util.py | marcelkotze007/mk007---ML-Python-library | 307e51762fc821588206440daa2c18a6128f4aec | [
"MIT"
] | null | null | null | util.py | marcelkotze007/mk007---ML-Python-library | 307e51762fc821588206440daa2c18a6128f4aec | [
"MIT"
] | null | null | null | # https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
# https://www.udemy.com/data-science-supervised-machine-learning-in-python
from __future__ import print_function, division
from builtins import range, input
# Note: you may need to update your version of future
# sudo pip install -U ... | 32.259259 | 86 | 0.596441 |
from __future__ import print_function, division
from builtins import range, input
import numpy as np
import pandas as pd
def get_data(limit=None):
print("Reading in and transforming data...")
df = pd.read_csv('train.csv')
data = df.values
np.random.shuffle(data)
X = data[:, 1:]
print(X[40... | true | true |
f72ce7ae5cf820ccf1451c8e5cde1d89a16c1e52 | 3,007 | py | Python | pbj/electrostatics/pb_formulation/formulations/direct_external.py | bem4solvation/pbj | 4fa9c111596359192539787ae241a79d4316b15b | [
"MIT"
] | null | null | null | pbj/electrostatics/pb_formulation/formulations/direct_external.py | bem4solvation/pbj | 4fa9c111596359192539787ae241a79d4316b15b | [
"MIT"
] | 1 | 2022-02-18T17:34:37.000Z | 2022-02-18T17:34:37.000Z | pbj/electrostatics/pb_formulation/formulations/direct_external.py | bem4solvation/pbj | 4fa9c111596359192539787ae241a79d4316b15b | [
"MIT"
] | null | null | null | import numpy as np
import bempp.api
import os
from bempp.api.operators.boundary import sparse, laplace, modified_helmholtz
from .common import calculate_potential_one_surface
invert_potential = True
def verify_parameters(self):
return True
def lhs(self):
dirichl_space = self.dirichl_space
neumann_space... | 30.373737 | 88 | 0.638178 | import numpy as np
import bempp.api
import os
from bempp.api.operators.boundary import sparse, laplace, modified_helmholtz
from .common import calculate_potential_one_surface
invert_potential = True
def verify_parameters(self):
return True
def lhs(self):
dirichl_space = self.dirichl_space
neumann_space... | true | true |
f72ce81173cc5c6016efe5504b76f86ecabf1edf | 245 | py | Python | python/merge.py | mannyrivera2010/rdf4j-learning | ef5bc6aeac0c16265605f4e7b577255fb48f96f7 | [
"Apache-2.0"
] | null | null | null | python/merge.py | mannyrivera2010/rdf4j-learning | ef5bc6aeac0c16265605f4e7b577255fb48f96f7 | [
"Apache-2.0"
] | null | null | null | python/merge.py | mannyrivera2010/rdf4j-learning | ef5bc6aeac0c16265605f4e7b577255fb48f96f7 | [
"Apache-2.0"
] | null | null | null | import glob
file_list = glob.glob("data/*.csv")
for file_name in file_list:
with open(file_name, 'r') as open_file:
for inner_line in open_file:
if "gender" not in inner_line:
print(inner_line.strip())
| 22.272727 | 43 | 0.62449 | import glob
file_list = glob.glob("data/*.csv")
for file_name in file_list:
with open(file_name, 'r') as open_file:
for inner_line in open_file:
if "gender" not in inner_line:
print(inner_line.strip())
| true | true |
f72ce8530a8392dc1dd22292d6d0dcfb86f65a5a | 2,885 | py | Python | pyramid_request_log/request_log.py | MoiTux/pyramid-request-log | 31852bbf09e4f416f93c7720ecd9eca8cfe32d38 | [
"MIT"
] | 1 | 2017-08-07T10:22:16.000Z | 2017-08-07T10:22:16.000Z | pyramid_request_log/request_log.py | MoiTux/pyramid-request-log | 31852bbf09e4f416f93c7720ecd9eca8cfe32d38 | [
"MIT"
] | null | null | null | pyramid_request_log/request_log.py | MoiTux/pyramid-request-log | 31852bbf09e4f416f93c7720ecd9eca8cfe32d38 | [
"MIT"
] | null | null | null | import logging
import sys
import time
from pyramid.events import NewResponse, NewRequest
from pyramid.events import subscriber
if sys.version_info[0] < 3:
str = basestring
log = logging.getLogger(__name__)
unlog_pattern = None
unlog_route = None
authenticated_id = ''
@subscriber(NewRequest)
def log_request(e... | 27.47619 | 79 | 0.597574 | import logging
import sys
import time
from pyramid.events import NewResponse, NewRequest
from pyramid.events import subscriber
if sys.version_info[0] < 3:
str = basestring
log = logging.getLogger(__name__)
unlog_pattern = None
unlog_route = None
authenticated_id = ''
@subscriber(NewRequest)
def log_request(e... | true | true |
f72cea9211379eec544b1b493a257f6c5b6255c7 | 1,066 | py | Python | api/utils/data_utils.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 74 | 2020-03-08T15:29:00.000Z | 2022-03-05T14:57:33.000Z | api/utils/data_utils.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 19 | 2020-03-06T08:56:51.000Z | 2022-03-27T05:07:35.000Z | api/utils/data_utils.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 23 | 2020-03-20T08:19:55.000Z | 2022-03-16T17:40:09.000Z | from PIL import Image
import numbers
class RandomCrop(object):
def __init__(self, size, v):
if isinstance(size, numbers.Number):
self.size = (int(size), int(size))
else:
self.size = size
self.v = v
def __call__(self, img):
w, h = img.size
th, tw =... | 31.352941 | 115 | 0.545028 | from PIL import Image
import numbers
class RandomCrop(object):
def __init__(self, size, v):
if isinstance(size, numbers.Number):
self.size = (int(size), int(size))
else:
self.size = size
self.v = v
def __call__(self, img):
w, h = img.size
th, tw =... | true | true |
f72ceaaf5ad093604d4d028c26cd964e13cd6018 | 9,644 | py | Python | tests/test_authority.py | scottp-dpaw/azure-activedirectory-library-for-python | 3305d666c064e62f8c15526fb82b5cba02a11b80 | [
"MIT"
] | 2 | 2018-03-05T07:54:23.000Z | 2018-07-10T14:53:32.000Z | tests/test_authority.py | scottp-dpaw/azure-activedirectory-library-for-python | 3305d666c064e62f8c15526fb82b5cba02a11b80 | [
"MIT"
] | null | null | null | tests/test_authority.py | scottp-dpaw/azure-activedirectory-library-for-python | 3305d666c064e62f8c15526fb82b5cba02a11b80 | [
"MIT"
] | 1 | 2020-10-26T20:07:07.000Z | 2020-10-26T20:07:07.000Z | #------------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation.
# All rights reserved.
#
# This code is licensed under the MIT License.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentatio... | 42.672566 | 138 | 0.687578 |
import sys
import requests
import httpretty
import six
try:
import unittest2 as unittest
except ImportError:
import unittest
try:
from unittest import mock
except ImportError:
import mock
import adal
from adal.authority import Authority
from adal import log
from adal.authen... | true | true |
f72ceae57491507ca3020763b8de106a6f696481 | 486 | py | Python | DjangoAPI/MyApi/migrations/0001_initial.py | sni710/Django_api | a40d049586d9396c3b1bea4cd82177c573b24c17 | [
"Apache-2.0"
] | 2 | 2020-08-27T11:26:35.000Z | 2021-03-20T16:27:20.000Z | DjangoAPI/MyApi/migrations/0001_initial.py | ankit98040/Django-ML-Project | 3e50f51e56aa34bb8a7ae31f4955a10e57176ea7 | [
"Apache-2.0"
] | null | null | null | DjangoAPI/MyApi/migrations/0001_initial.py | ankit98040/Django-ML-Project | 3e50f51e56aa34bb8a7ae31f4955a10e57176ea7 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.6 on 2020-08-26 04:50
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='MyFile',
fields=[
('id', models.AutoField(a... | 22.090909 | 114 | 0.569959 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='MyFile',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=F... | true | true |
f72ceb176086bf9c83e429c918a55d39155ac895 | 3,556 | py | Python | spyder/plugins/tours/container.py | fumitoh/spyder | 12294fec88a2f61c756538ac38bd748d8e7b3f82 | [
"MIT"
] | 1 | 2021-07-08T01:27:25.000Z | 2021-07-08T01:27:25.000Z | spyder/plugins/tours/container.py | fumitoh/spyder | 12294fec88a2f61c756538ac38bd748d8e7b3f82 | [
"MIT"
] | null | null | null | spyder/plugins/tours/container.py | fumitoh/spyder | 12294fec88a2f61c756538ac38bd748d8e7b3f82 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2009- Spyder Project Contributors
#
# Distributed under the terms of the MIT License
# (see spyder/__init__.py for details)
# --------------------------------------------------------------------... | 30.135593 | 80 | 0.53009 |
from collections import OrderedDict
from spyder.api.exceptions import SpyderAPIError
from spyder.api.translations import get_translation
from spyder.api.widgets.main_container import PluginMainContainer
from spyder.plugins.tours.tours import TourIdentifiers
from spyder.plugins.tours.widgets import An... | true | true |
f72ceb2273d8e23fd38d9723f4f39d414670b675 | 375 | py | Python | Python/Swap Case.py | BiswajitDeb/My_all_programs | 4717cfc0b3b1aeda75f8eec0b7ff643e8556d262 | [
"Unlicense"
] | null | null | null | Python/Swap Case.py | BiswajitDeb/My_all_programs | 4717cfc0b3b1aeda75f8eec0b7ff643e8556d262 | [
"Unlicense"
] | null | null | null | Python/Swap Case.py | BiswajitDeb/My_all_programs | 4717cfc0b3b1aeda75f8eec0b7ff643e8556d262 | [
"Unlicense"
] | null | null | null | def swap_case(s):
k = []
l = list(s)
for i in l:
j = ""
if i.islower():
j = i.upper()
elif i.isupper():
j = i.lower()
else:
k.append(i)
k.append(j)
final = ''.join(k)
return final
if __name__ == '__main__':
... | 16.304348 | 26 | 0.416 | def swap_case(s):
k = []
l = list(s)
for i in l:
j = ""
if i.islower():
j = i.upper()
elif i.isupper():
j = i.lower()
else:
k.append(i)
k.append(j)
final = ''.join(k)
return final
if __name__ == '__main__':
... | true | true |
f72ced6147cf08a6b779747e4e46d56e84081e4e | 1,139 | py | Python | plenum/test/view_change/test_start_view_change_ts_set.py | andkononykhin/indy-plenum-copy | 46c48feaf75e5578c9dceb76d4b6d09f7e63add5 | [
"Apache-2.0"
] | 1 | 2019-03-19T23:44:56.000Z | 2019-03-19T23:44:56.000Z | plenum/test/view_change/test_start_view_change_ts_set.py | andkononykhin/indy-plenum-copy | 46c48feaf75e5578c9dceb76d4b6d09f7e63add5 | [
"Apache-2.0"
] | null | null | null | plenum/test/view_change/test_start_view_change_ts_set.py | andkononykhin/indy-plenum-copy | 46c48feaf75e5578c9dceb76d4b6d09f7e63add5 | [
"Apache-2.0"
] | 2 | 2017-12-13T21:14:54.000Z | 2021-06-06T15:48:03.000Z | from contextlib import ExitStack
import pytest
from plenum.test.helper import create_new_test_node
@pytest.fixture(scope="module")
def create_node_and_not_start(testNodeClass,
node_config_helper_class,
tconf,
tdir,
... | 33.5 | 74 | 0.515364 | from contextlib import ExitStack
import pytest
from plenum.test.helper import create_new_test_node
@pytest.fixture(scope="module")
def create_node_and_not_start(testNodeClass,
node_config_helper_class,
tconf,
tdir,
... | true | true |
f72ced80e9d31b06e29ceff3d3a4092de61f6141 | 8,950 | py | Python | test/test_cognon_extended.py | pauh/neuron | c08f7033f954373617d7a58eb1e5b88f91ac1a27 | [
"Apache-2.0"
] | 3 | 2018-08-25T22:03:37.000Z | 2019-04-15T10:59:14.000Z | test/test_cognon_extended.py | pauh/neuron | c08f7033f954373617d7a58eb1e5b88f91ac1a27 | [
"Apache-2.0"
] | null | null | null | test/test_cognon_extended.py | pauh/neuron | c08f7033f954373617d7a58eb1e5b88f91ac1a27 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Pau Haro Negre
# based on C++ code by Carl Staelin Copyright 2009-2011
#
# See the NOTICE file distributed with this work for additional information
# regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with... | 30.13468 | 75 | 0.562682 |
from cognon_extended import Neuron
from cognon_extended import Synapse
from cognon_extended import Word
from cognon_extended import WordSet
from nose.tools import assert_false
from nose.tools import assert_greater_equal
from nose.tools import assert_in
from nose.tools import assert_is_none
from nose... | true | true |
f72ced891d0ab304ac2986df0441a610cd13e4c7 | 896 | py | Python | 2020/day25/day25.py | ChrisCh7/advent-of-code | d6f1dda4a67aae18ac1e15b9eccb3e6e94d705c1 | [
"Unlicense"
] | 3 | 2020-12-03T23:20:27.000Z | 2020-12-03T23:20:53.000Z | 2020/day25/day25.py | ChrisCh7/advent-of-code | d6f1dda4a67aae18ac1e15b9eccb3e6e94d705c1 | [
"Unlicense"
] | null | null | null | 2020/day25/day25.py | ChrisCh7/advent-of-code | d6f1dda4a67aae18ac1e15b9eccb3e6e94d705c1 | [
"Unlicense"
] | null | null | null | def main():
with open('in.txt') as file:
card_pubkey, door_pubkey = map(lambda n: int(n), file.read().splitlines())
print('card public key:', card_pubkey)
print('door public key:', door_pubkey)
print('card loop size:', card_loop_size := get_loop_size(card_pubkey))
print('door loop size:', ... | 24.888889 | 82 | 0.65067 | def main():
with open('in.txt') as file:
card_pubkey, door_pubkey = map(lambda n: int(n), file.read().splitlines())
print('card public key:', card_pubkey)
print('door public key:', door_pubkey)
print('card loop size:', card_loop_size := get_loop_size(card_pubkey))
print('door loop size:', ... | true | true |
f72cedd7827c3a103f775708f54a774487557133 | 4,338 | py | Python | doom/test.py | luxinglong/ViZDoom-SL | fbc54c401b1ca320e9e804f2c97fdedc5d0c534d | [
"MIT"
] | null | null | null | doom/test.py | luxinglong/ViZDoom-SL | fbc54c401b1ca320e9e804f2c97fdedc5d0c534d | [
"MIT"
] | null | null | null | doom/test.py | luxinglong/ViZDoom-SL | fbc54c401b1ca320e9e804f2c97fdedc5d0c534d | [
"MIT"
] | null | null | null | import sys
import argparse
import numpy as np
from actions import ActionBuilder
from game import Game
# use_continuous speed action_combinations crouch freelook
FALSY_STRINGS = {'off', 'false', '0'}
TRUTHY_STRINGS = {'on', 'true', '1'}
def bool_flag(string):
"""
Parse boolean arguments from th... | 37.396552 | 78 | 0.605579 | import sys
import argparse
import numpy as np
from actions import ActionBuilder
from game import Game
FALSY_STRINGS = {'off', 'false', '0'}
TRUTHY_STRINGS = {'on', 'true', '1'}
def bool_flag(string):
if string.lower() in FALSY_STRINGS:
return False
elif string.lower() in TRUTHY_STRING... | true | true |
f72cef269ff93973871d0381495aa221dec684e9 | 576 | py | Python | processdata/migrations/0001_initial.py | shinysong/covid19-dashboard | c4c536e3781caecb7f1cfcfdb27c1324fe493eb2 | [
"MIT"
] | null | null | null | processdata/migrations/0001_initial.py | shinysong/covid19-dashboard | c4c536e3781caecb7f1cfcfdb27c1324fe493eb2 | [
"MIT"
] | null | null | null | processdata/migrations/0001_initial.py | shinysong/covid19-dashboard | c4c536e3781caecb7f1cfcfdb27c1324fe493eb2 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2022-03-29 07:12
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='test_api',
fields=[
('id', models.AutoField... | 24 | 114 | 0.548611 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='test_api',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize... | true | true |
f72cefc08416d058c79ffed4f4ba0c15d2eb9ff0 | 17,944 | py | Python | homeassistant/components/climate/wink.py | jamescurtin/home-assistant | 6a9968ccb9b0082f5629e50955549d432aba7d90 | [
"Apache-2.0"
] | 2 | 2020-02-20T18:47:55.000Z | 2021-11-09T11:33:28.000Z | homeassistant/components/climate/wink.py | moose51789/home-assistant | 63c9d59d5455850fd4b37c2475fe6f10effb5245 | [
"Apache-2.0"
] | 1 | 2021-02-08T20:56:06.000Z | 2021-02-08T20:56:06.000Z | homeassistant/components/climate/wink.py | moose51789/home-assistant | 63c9d59d5455850fd4b37c2475fe6f10effb5245 | [
"Apache-2.0"
] | 1 | 2019-09-15T04:45:12.000Z | 2019-09-15T04:45:12.000Z | """
Support for Wink thermostats, Air Conditioners, and Water Heaters.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/climate.wink/
"""
import logging
import asyncio
from homeassistant.components.wink import WinkDevice, DOMAIN
from homeassistant.compone... | 33.729323 | 77 | 0.615805 | import logging
import asyncio
from homeassistant.components.wink import WinkDevice, DOMAIN
from homeassistant.components.climate import (
STATE_AUTO, STATE_COOL, STATE_HEAT, ClimateDevice,
ATTR_TARGET_TEMP_HIGH, ATTR_TARGET_TEMP_LOW,
ATTR_TEMPERATURE, STATE_FAN_ONLY,
ATTR_CURRENT_HUMIDITY, STATE_ECO, S... | true | true |
f72ceff1b9b1d547913aa773c1b821be3ae401f9 | 55 | py | Python | contest/abc120/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc120/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc120/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | A,B,C = map(int, input().split())
print(min(B//A,C))
| 18.333333 | 34 | 0.545455 | A,B,C = map(int, input().split())
print(min(B//A,C))
| true | true |
f72cf037943e51b4783520ebbf6f67e18bf38ba4 | 3,648 | py | Python | src/Calibration.py | Mohamed-Abdulaty/UDACITY-CarND-P2-Advanced-Lane-Lines | e5d5fdff45c523a4f17635897b9de4b2e50d273d | [
"MIT"
] | null | null | null | src/Calibration.py | Mohamed-Abdulaty/UDACITY-CarND-P2-Advanced-Lane-Lines | e5d5fdff45c523a4f17635897b9de4b2e50d273d | [
"MIT"
] | null | null | null | src/Calibration.py | Mohamed-Abdulaty/UDACITY-CarND-P2-Advanced-Lane-Lines | e5d5fdff45c523a4f17635897b9de4b2e50d273d | [
"MIT"
] | null | null | null | import os
import cv2
import numpy as np
class Calibration:
def __init__(
self,
source_images_directory,
destination_image_sub_directory,
chessboard_shape,
logger
):
self.source_images_directory = source_images_directory
self.destination_image_sub_... | 41.931034 | 110 | 0.621436 | import os
import cv2
import numpy as np
class Calibration:
def __init__(
self,
source_images_directory,
destination_image_sub_directory,
chessboard_shape,
logger
):
self.source_images_directory = source_images_directory
self.destination_image_sub_... | true | true |
f72cf0613aadf94eb6e2c98f6e1c046325378d82 | 1,979 | py | Python | dove/utils/bed.py | barslmn/dove | df6344286633422219c0e93e15d4327f9d082041 | [
"MIT"
] | null | null | null | dove/utils/bed.py | barslmn/dove | df6344286633422219c0e93e15d4327f9d082041 | [
"MIT"
] | null | null | null | dove/utils/bed.py | barslmn/dove | df6344286633422219c0e93e15d4327f9d082041 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'bars'
from io import StringIO
import pandas as pd
from collections import defaultdict
class Bed:
"""description"""
def __init__(self, bed_file, mode='file'):
self.bed_file = bed_file
self.mode = mode
def get_header(self):
lines_to_skip = 0
... | 29.984848 | 54 | 0.471956 |
__author__ = 'bars'
from io import StringIO
import pandas as pd
from collections import defaultdict
class Bed:
def __init__(self, bed_file, mode='file'):
self.bed_file = bed_file
self.mode = mode
def get_header(self):
lines_to_skip = 0
header = defaultdict(list)
if ... | true | true |
f72cf0c8eddcbcd99e6cd753b8ca73ce4cc13dcd | 10,400 | py | Python | nnutils/dibr_kaolin.py | junzhezhang/cmr | f0b2ded813535493f124852ce64b26efa761a35c | [
"MIT"
] | null | null | null | nnutils/dibr_kaolin.py | junzhezhang/cmr | f0b2ded813535493f124852ce64b26efa761a35c | [
"MIT"
] | null | null | null | nnutils/dibr_kaolin.py | junzhezhang/cmr | f0b2ded813535493f124852ce64b26efa761a35c | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy.misc
import tqdm
import cv2
import torch
from nnutils import geom_utils
# from kaolin.graphics.dib_renderer.rasterizer import linear_rasterizer
# from kaolin.graphics.dib_ren... | 38.80597 | 151 | 0.559038 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy.misc
import tqdm
import cv2
import torch
from nnutils import geom_utils
from kaolin.graphics.dib_renderer.renderer.texrender import TexRender
from kaolin.graphics.dib_rend... | true | true |
f72cf0ce56facdb68d763f793fbd3901d57d4555 | 4,872 | py | Python | sensors/jira_sensor.py | viveksyngh/stackstorm-jira | d08bc9b78bb5a5cce1c6e84c1f947f1ba3088d26 | [
"Apache-2.0"
] | null | null | null | sensors/jira_sensor.py | viveksyngh/stackstorm-jira | d08bc9b78bb5a5cce1c6e84c1f947f1ba3088d26 | [
"Apache-2.0"
] | null | null | null | sensors/jira_sensor.py | viveksyngh/stackstorm-jira | d08bc9b78bb5a5cce1c6e84c1f947f1ba3088d26 | [
"Apache-2.0"
] | 1 | 2020-01-22T16:35:49.000Z | 2020-01-22T16:35:49.000Z | # See ./requirements.txt for requirements.
import os
from jira.client import JIRA
from st2reactor.sensor.base import PollingSensor
class JIRASensor(PollingSensor):
'''
Sensor will monitor for any new projects created in JIRA and
emit trigger instance when one is created.
'''
def __init__(self, ... | 37.767442 | 84 | 0.610016 |
import os
from jira.client import JIRA
from st2reactor.sensor.base import PollingSensor
class JIRASensor(PollingSensor):
def __init__(self, sensor_service, config=None, poll_interval=5):
super(JIRASensor, self).__init__(sensor_service=sensor_service,
config=con... | true | true |
f72cf166961a193b694eac3676ad404f15972d73 | 6,202 | py | Python | __init__.py | kriswans/logBlizzard | 56ac597b4a499fa331742d441cb42c8c99360e0e | [
"MIT"
] | null | null | null | __init__.py | kriswans/logBlizzard | 56ac597b4a499fa331742d441cb42c8c99360e0e | [
"MIT"
] | null | null | null | __init__.py | kriswans/logBlizzard | 56ac597b4a499fa331742d441cb42c8c99360e0e | [
"MIT"
] | null | null | null | """
Author: Kris Swanson, kriswans@cisco.com
Tested with Python 3.6.1 on WIN10
"""
import socket
import struct
import time
import sys
import multiprocessing
import datetime
import glob
import json
from crypto import Crypto as cryp
from syslog import syslog
from nodemanager import NodeManager as nm
from localsearch i... | 27.442478 | 241 | 0.565946 |
import socket
import struct
import time
import sys
import multiprocessing
import datetime
import glob
import json
from crypto import Crypto as cryp
from syslog import syslog
from nodemanager import NodeManager as nm
from localsearch import SearchLocal as sl
def logMonitor_Rx(password,params):
print("Starting R... | true | true |
f72cf1840ab9da367881e535c5609e8a88e5c71b | 1,349 | py | Python | actor/skills/grass_cutter.py | tamamiyasita/Roguelike-Tutorial-2020 | db4d4e5369010567bc39bdd404c4f3a7998670fd | [
"MIT"
] | null | null | null | actor/skills/grass_cutter.py | tamamiyasita/Roguelike-Tutorial-2020 | db4d4e5369010567bc39bdd404c4f3a7998670fd | [
"MIT"
] | null | null | null | actor/skills/grass_cutter.py | tamamiyasita/Roguelike-Tutorial-2020 | db4d4e5369010567bc39bdd404c4f3a7998670fd | [
"MIT"
] | null | null | null | from constants import *
from data import IMAGE_ID
from random import randint
from actor.skills.base_skill import BaseSkill
from util import dice
class GrassCutter(BaseSkill):
def __init__(self, x=0, y=0, name="grass_cutter"):
super().__init__(
name=name,
image=IMAGE_ID[name],
... | 24.089286 | 104 | 0.575982 | from constants import *
from data import IMAGE_ID
from random import randint
from actor.skills.base_skill import BaseSkill
from util import dice
class GrassCutter(BaseSkill):
def __init__(self, x=0, y=0, name="grass_cutter"):
super().__init__(
name=name,
image=IMAGE_ID[name],
... | true | true |
f72cf2ba17b0645159849d98585fab8cba690efd | 3,280 | py | Python | enroll_certificates.py | marcelojcn/psd2-tpp-enroller | 86a03287e74a38f1ebb0d46886c2fc0ec0345ff2 | [
"MIT"
] | 2 | 2021-03-23T05:07:53.000Z | 2021-07-04T20:42:20.000Z | enroll_certificates.py | marcelojcn/psd2-tpp-enroller | 86a03287e74a38f1ebb0d46886c2fc0ec0345ff2 | [
"MIT"
] | null | null | null | enroll_certificates.py | marcelojcn/psd2-tpp-enroller | 86a03287e74a38f1ebb0d46886c2fc0ec0345ff2 | [
"MIT"
] | 1 | 2021-03-22T05:45:38.000Z | 2021-03-22T05:45:38.000Z | import argparse
from src.openbanking_tpp_proxy.proxy import Proxy
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="Process parametes for certificate enrollment")
parser.add_argument('--api_url', type=str, required=True,
help='API url needed for certificate inte... | 46.857143 | 96 | 0.559451 | import argparse
from src.openbanking_tpp_proxy.proxy import Proxy
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="Process parametes for certificate enrollment")
parser.add_argument('--api_url', type=str, required=True,
help='API url needed for certificate inte... | true | true |
f72cf2bd30e710234b5f0ce409d6c011a60b05e1 | 827 | py | Python | tests/test_service.py | GameServerGurus/Nitrado-SDK | d72536be5def0b51a7ac89ccf62e35095f4ea705 | [
"MIT"
] | 1 | 2022-02-01T18:12:00.000Z | 2022-02-01T18:12:00.000Z | tests/test_service.py | GameServerGurus/Nitrado-SDK | d72536be5def0b51a7ac89ccf62e35095f4ea705 | [
"MIT"
] | 1 | 2022-01-31T21:04:53.000Z | 2022-02-01T02:16:52.000Z | tests/test_service.py | GameServerGurus/Nitrado-SDK | d72536be5def0b51a7ac89ccf62e35095f4ea705 | [
"MIT"
] | null | null | null | import os
from nitrado import Service, initialize_client
def set_client():
url = "https://api.nitrado.net/"
key = os.getenv('NITRADO_KEY')
initialize_client(key, url)
def test_services():
set_client()
services = Service.all()
assert len(services) > 0
def test_logs():
set_client()
s... | 17.229167 | 46 | 0.636034 | import os
from nitrado import Service, initialize_client
def set_client():
url = "https://api.nitrado.net/"
key = os.getenv('NITRADO_KEY')
initialize_client(key, url)
def test_services():
set_client()
services = Service.all()
assert len(services) > 0
def test_logs():
set_client()
s... | true | true |
f72cf30f4db51c6f09ee40560b05c6f53cdebd84 | 5,436 | py | Python | sdk/python/pulumi_aws/ec2/vpn_connection_route.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ec2/vpn_connection_route.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ec2/vpn_connection_route.py | mdop-wh/pulumi-aws | 05bb32e9d694dde1c3b76d440fd2cd0344d23376 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import ... | 42.46875 | 134 | 0.653054 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
from .. import _utilities, _tables
__all__ = ['VpnConnectionRoute']
class VpnConnectionRoute(pulumi.CustomResource):
def __init__(__self__,
resource_name: str,
... | true | true |
f72cf317b227f69aee075f4d4a76f6668cb37c7e | 10,749 | py | Python | qa/rpc-tests/maxuploadtarget.py | minblock/lua | ee6ef8f49bfc9569e7c568fc6546fa16dbe14585 | [
"MIT"
] | null | null | null | qa/rpc-tests/maxuploadtarget.py | minblock/lua | ee6ef8f49bfc9569e7c568fc6546fa16dbe14585 | [
"MIT"
] | null | null | null | qa/rpc-tests/maxuploadtarget.py | minblock/lua | ee6ef8f49bfc9569e7c568fc6546fa16dbe14585 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
#
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
from test_framework.mininode import *
from test_framework.test_framework import LUASCOINTestFramework
from test_framework.util import *
import time
''... | 40.409774 | 140 | 0.655224 |
from test_framework.mininode import *
from test_framework.test_framework import LUASCOINTestFramework
from test_framework.util import *
import time
'''
Test behavior of -maxuploadtarget.
* Verify that getdata requests for old blocks (>1week) are dropped
if uploadtarget has been reached.
* Verify that getdata re... | false | true |
f72cf3e78bbce35be30e75fc278005c291dd24d7 | 3,977 | py | Python | src/beanmachine/ppl/inference/proposer/nmc/single_site_half_space_nmc_proposer.py | horizon-blue/beanmachine-1 | b13e4e3e28ffb860947eb8046863b0cabb581222 | [
"MIT"
] | 1 | 2021-12-22T13:19:14.000Z | 2021-12-22T13:19:14.000Z | src/beanmachine/ppl/inference/proposer/nmc/single_site_half_space_nmc_proposer.py | horizon-blue/beanmachine-1 | b13e4e3e28ffb860947eb8046863b0cabb581222 | [
"MIT"
] | null | null | null | src/beanmachine/ppl/inference/proposer/nmc/single_site_half_space_nmc_proposer.py | horizon-blue/beanmachine-1 | b13e4e3e28ffb860947eb8046863b0cabb581222 | [
"MIT"
] | null | null | null | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from typing import Tuple
import torch
import torch.distributions as dist
from beanmachine.ppl.inference.proposer.single_site... | 38.61165 | 104 | 0.670355 |
import logging
from typing import Tuple
import torch
import torch.distributions as dist
from beanmachine.ppl.inference.proposer.single_site_ancestral_proposer import (
SingleSiteAncestralProposer,
)
from beanmachine.ppl.legacy.inference.proposer.newtonian_monte_carlo_utils import (
is_valid,
hessian_o... | true | true |
f72cf4a833b1d28314f79d0d0b59dfce9cb476dc | 627 | py | Python | setup.py | peterpaohuang/depablo-box | edf21fa7f2bcd7009136a2e14b802d004b12b406 | [
"MIT"
] | 1 | 2019-08-06T15:45:34.000Z | 2019-08-06T15:45:34.000Z | setup.py | peterpaohuang/depablo-box | edf21fa7f2bcd7009136a2e14b802d004b12b406 | [
"MIT"
] | null | null | null | setup.py | peterpaohuang/depablo-box | edf21fa7f2bcd7009136a2e14b802d004b12b406 | [
"MIT"
] | null | null | null | import subprocess
print("Installing required packages...")
subprocess.check_output(['conda','install','--yes','--file','requirements.txt'])
print("Installed requirements")
print("Installing openbabel...")
subprocess.check_output(['conda','install','--yes','-c','openbabel', 'openbabel'])
print("Installed openbabel")
pri... | 48.230769 | 86 | 0.728868 | import subprocess
print("Installing required packages...")
subprocess.check_output(['conda','install','--yes','--file','requirements.txt'])
print("Installed requirements")
print("Installing openbabel...")
subprocess.check_output(['conda','install','--yes','-c','openbabel', 'openbabel'])
print("Installed openbabel")
pri... | true | true |
f72cf697921980b575ca1e6593cdff20ac9b8c90 | 2,031 | py | Python | v3/htmlexample_module.py | ambadhan/OnlinePythonTutor | 857bab941fbde20f1f020b05b7723094ddead62a | [
"MIT"
] | 17 | 2021-12-09T11:31:44.000Z | 2021-12-29T03:07:14.000Z | v3/htmlexample_module.py | heysachin/OnlinePythonTutor | 0dcdacc7ff5be504dd6a47236ebc69dc0069f991 | [
"MIT"
] | 22 | 2017-09-17T03:59:16.000Z | 2017-11-14T17:33:57.000Z | v3/htmlexample_module.py | heysachin/OnlinePythonTutor | 0dcdacc7ff5be504dd6a47236ebc69dc0069f991 | [
"MIT"
] | 12 | 2021-12-09T11:31:46.000Z | 2022-01-07T03:14:46.000Z | # Example module for Online Python Tutor
# Philip Guo
# 2013-08-03
# To get the Online Python Tutor backend to import this custom module,
# add its filename ('htmlexample_module') to the CUSTOM_MODULE_IMPORTS
# tuple in pg_logger.py
# To see an example of this module at work, write the following code in
# http://pyth... | 28.208333 | 96 | 0.613983 |
class ColorTable:
def __init__(self, num_rows, num_columns):
self.num_rows = num_rows
self.num_columns = num_columns
self.table = []
for i in range(self.num_rows):
new_lst = ['' for e in range(self.num_columns)]
self.table.append(new_lst... | true | true |
f72cf6de2f57109ea400d2d7cfa8931507537fd0 | 3,018 | py | Python | examples/epd_2in13_test.py | philipempl/ResearchyPi | 74cf9cc78ace39d1d843b2b64fe39704aaafe778 | [
"MIT"
] | null | null | null | examples/epd_2in13_test.py | philipempl/ResearchyPi | 74cf9cc78ace39d1d843b2b64fe39704aaafe778 | [
"MIT"
] | null | null | null | examples/epd_2in13_test.py | philipempl/ResearchyPi | 74cf9cc78ace39d1d843b2b64fe39704aaafe778 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
import sys
import os
picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic')
libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib')
if os.path.exists(libdir):
sys.path.append(libdir)
import logging
from ... | 32.106383 | 90 | 0.611995 |
import sys
import os
picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic')
libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib')
if os.path.exists(libdir):
sys.path.append(libdir)
import logging
from waveshare_epd import epd2in13
import ti... | true | true |
f72cf7000c24d4d32e896071d41604079d19da89 | 3,666 | py | Python | mpsci/distributions/binomial.py | WarrenWeckesser/mpsci | 675f0f3b76700529558a3bae2a1b2ca09552233b | [
"BSD-2-Clause"
] | 7 | 2019-03-27T17:25:41.000Z | 2022-03-31T03:55:29.000Z | mpsci/distributions/binomial.py | WarrenWeckesser/mpsci | 675f0f3b76700529558a3bae2a1b2ca09552233b | [
"BSD-2-Clause"
] | 2 | 2019-05-09T16:09:45.000Z | 2021-01-04T03:55:09.000Z | mpsci/distributions/binomial.py | WarrenWeckesser/mpsci | 675f0f3b76700529558a3bae2a1b2ca09552233b | [
"BSD-2-Clause"
] | null | null | null | """
Binomial distribution
---------------------
"""
import mpmath
from ..fun import logbinomial
__all__ = ['pmf', 'logpmf', 'cdf', 'sf', 'mean', 'var']
def _validate_np(n, p):
if p < 0 or p > 1:
raise ValueError('p must be in the range [0, 1]')
if n < 0:
raise ValueError('n must be a nonne... | 30.297521 | 78 | 0.563011 |
import mpmath
from ..fun import logbinomial
__all__ = ['pmf', 'logpmf', 'cdf', 'sf', 'mean', 'var']
def _validate_np(n, p):
if p < 0 or p > 1:
raise ValueError('p must be in the range [0, 1]')
if n < 0:
raise ValueError('n must be a nonnegative integer.')
return
def pmf(k, n, p):
... | true | true |
f72cf726678d2cd74a55d44450a33b0c8d9c834f | 792 | py | Python | pytezos/rpc/errors.py | arvidj/pytezos | a8545d9408f086eba91b4af7e12c488672144ff6 | [
"MIT"
] | 1 | 2020-08-11T02:31:24.000Z | 2020-08-11T02:31:24.000Z | pytezos/rpc/errors.py | arvidj/pytezos | a8545d9408f086eba91b4af7e12c488672144ff6 | [
"MIT"
] | null | null | null | pytezos/rpc/errors.py | arvidj/pytezos | a8545d9408f086eba91b4af7e12c488672144ff6 | [
"MIT"
] | 1 | 2022-03-20T19:01:00.000Z | 2022-03-20T19:01:00.000Z | from pytezos.rpc.node import RpcError
class MichelsonBadContractParameter(RpcError, error_id='michelson_v1.bad_contract_parameter'):
""" Either no parameter was supplied to a contract with a non-unit parameter type, a non-unit parameter was passed
to an account, or a parameter was supplied of the wrong type
... | 28.285714 | 118 | 0.736111 | from pytezos.rpc.node import RpcError
class MichelsonBadContractParameter(RpcError, error_id='michelson_v1.bad_contract_parameter'):
class MichelsonBadReturn(RpcError, error_id='michelson_v1.bad_return'):
class MichelsonRuntimeError(RpcError, error_id='michelson_v1'):
class TezArithmeticError(RpcError, error_id... | true | true |
f72cf8174f5a2872015dadbef99938a1a8e72272 | 1,116 | py | Python | thingsboard_gateway/storage/event_storage_reader_pointer.py | xinge-ok/thingsboard-gateway | 6dab6030a6becf0ce9d34bc95a3a1f1e0838cb14 | [
"Apache-2.0"
] | 1 | 2020-02-24T09:08:35.000Z | 2020-02-24T09:08:35.000Z | thingsboard_gateway/storage/event_storage_reader_pointer.py | xinge-ok/thingsboard-gateway | 6dab6030a6becf0ce9d34bc95a3a1f1e0838cb14 | [
"Apache-2.0"
] | null | null | null | thingsboard_gateway/storage/event_storage_reader_pointer.py | xinge-ok/thingsboard-gateway | 6dab6030a6becf0ce9d34bc95a3a1f1e0838cb14 | [
"Apache-2.0"
] | null | null | null |
# Copyright 2019. ThingsBoard
#
# 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... | 28.615385 | 78 | 0.662186 |
class EventStorageReaderPointer:
def __init__(self, file, line):
self.file = file
self.line = line
def __eq__(self, other):
return self.file == other.file and self.line == other.line
def __hash__(self):
return hash((self.file, self.line))
def get_file(s... | true | true |
f72cf8cdaafe9d7009fc1fbe038716d9fe13a281 | 81,150 | py | Python | pandas/tests/frame/test_analytics.py | dhimmel/pandas | 776fed3ab63d74ddef6e5af1a702b10c2a30bbb6 | [
"BSD-3-Clause"
] | 1 | 2018-08-01T05:39:55.000Z | 2018-08-01T05:39:55.000Z | pandas/tests/frame/test_analytics.py | dhimmel/pandas | 776fed3ab63d74ddef6e5af1a702b10c2a30bbb6 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/frame/test_analytics.py | dhimmel/pandas | 776fed3ab63d74ddef6e5af1a702b10c2a30bbb6 | [
"BSD-3-Clause"
] | 1 | 2019-05-26T12:57:52.000Z | 2019-05-26T12:57:52.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
import warnings
from datetime import timedelta
import operator
import pytest
from string import ascii_lowercase
from numpy import nan
from numpy.random import randn
import numpy as np
from pandas.compat import lrange, PY35
from pandas import (compat, isn... | 37.656613 | 79 | 0.509698 |
from __future__ import print_function
import warnings
from datetime import timedelta
import operator
import pytest
from string import ascii_lowercase
from numpy import nan
from numpy.random import randn
import numpy as np
from pandas.compat import lrange, PY35
from pandas import (compat, isna, notna, DataFrame, Se... | true | true |
f72cf916fbd8ea467321863ca89fb57083e4ec13 | 36,218 | py | Python | pydca/meanfield_dca/meanfield_dca.py | MehariBZ/pydca | 034e0707a13e6e43da1343630047d47caeca896e | [
"MIT"
] | 1 | 2021-03-28T01:57:38.000Z | 2021-03-28T01:57:38.000Z | pydca/meanfield_dca/meanfield_dca.py | MehariBZ/pydca | 034e0707a13e6e43da1343630047d47caeca896e | [
"MIT"
] | null | null | null | pydca/meanfield_dca/meanfield_dca.py | MehariBZ/pydca | 034e0707a13e6e43da1343630047d47caeca896e | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division
from . import msa_numerics
from pydca.fasta_reader import fasta_reader
import logging
import numpy as np
"""This module implements Direc Coupling Analysis (DCA) of residue coevolution
for protein and RNA sequences using the mean-field algorithm. The final
coevolution sc... | 36.881874 | 120 | 0.585344 | from __future__ import absolute_import, division
from . import msa_numerics
from pydca.fasta_reader import fasta_reader
import logging
import numpy as np
logger = logging.getLogger(__name__)
class MeanFieldDCAException(Exception):
class MeanFieldDCA:
def __init__(self, msa_file_name, biomolecule, pseudocount=No... | true | true |
f72cf9518bb05b881c788963248acf6812065892 | 2,110 | py | Python | pyDist/MultiKeyData.py | alekLukanen/pyDist | ffb2c3feb20afba078fec7381c8785eb1e2b0543 | [
"MIT"
] | 5 | 2017-12-24T08:11:16.000Z | 2019-02-07T22:13:26.000Z | pyDist/MultiKeyData.py | alekLukanen/pyDist | ffb2c3feb20afba078fec7381c8785eb1e2b0543 | [
"MIT"
] | 1 | 2021-06-01T23:17:31.000Z | 2021-06-01T23:17:31.000Z | pyDist/MultiKeyData.py | alekLukanen/pyDist | ffb2c3feb20afba078fec7381c8785eb1e2b0543 | [
"MIT"
] | null | null | null |
class MultiKeyData(object):
def __init__(self):
self._keys = {}
self._values = {}
self._links = {}
self._index = 0
def __add_item(self, key, value):
if key not in self._keys:
self._keys[key] = self._index
self._values[self._index] = value
... | 24.534884 | 75 | 0.505687 |
class MultiKeyData(object):
def __init__(self):
self._keys = {}
self._values = {}
self._links = {}
self._index = 0
def __add_item(self, key, value):
if key not in self._keys:
self._keys[key] = self._index
self._values[self._index] = value
... | true | true |
f72cf995acdc249a52c5780d6bbc9e63253eff06 | 18,720 | py | Python | awesometkinter/utils.py | python-gui-application/AwesomeTkinter | 73f638ac432bafbbd4296588a3d20f27f8570577 | [
"MIT"
] | 61 | 2020-09-16T14:22:08.000Z | 2022-03-18T07:38:15.000Z | awesometkinter/utils.py | python-gui-application/AwesomeTkinter | 73f638ac432bafbbd4296588a3d20f27f8570577 | [
"MIT"
] | 10 | 2020-09-15T10:52:24.000Z | 2021-12-24T00:57:22.000Z | awesometkinter/utils.py | python-gui-application/AwesomeTkinter | 73f638ac432bafbbd4296588a3d20f27f8570577 | [
"MIT"
] | 6 | 2020-11-17T06:33:01.000Z | 2021-11-05T08:04:29.000Z | import base64
import math
import platform
import tkinter as tk
from tkinter import ttk
import PIL
from PIL import Image, ImageTk, ImageColor, ImageDraw, ImageFilter
import hashlib
import io
def identify_operating_system():
"""identify current operating system
Returns:
(str): 'Windows', 'Linux', or 'D... | 30.291262 | 119 | 0.595459 | import base64
import math
import platform
import tkinter as tk
from tkinter import ttk
import PIL
from PIL import Image, ImageTk, ImageColor, ImageDraw, ImageFilter
import hashlib
import io
def identify_operating_system():
return platform.system()
def calc_md5(binary_data):
return hashlib.md5(binary_data).... | true | true |
f72cfc43e5ce6dc5144f575469244b87366239db | 16,996 | py | Python | arguments.py | wakafengfan/CPM-1-Finetune | b2c30bd94df31bcd6ee75ba90c347113563d4075 | [
"MIT"
] | 60 | 2020-12-14T01:51:49.000Z | 2021-06-14T05:54:45.000Z | arguments.py | wakafengfan/CPM-1-Finetune | b2c30bd94df31bcd6ee75ba90c347113563d4075 | [
"MIT"
] | 29 | 2020-12-16T13:04:52.000Z | 2021-06-10T12:29:11.000Z | arguments.py | wakafengfan/CPM-1-Finetune | b2c30bd94df31bcd6ee75ba90c347113563d4075 | [
"MIT"
] | 11 | 2020-12-24T07:17:39.000Z | 2021-06-11T07:37:22.000Z | # coding=utf-8
# Copyright (c) 2019, NVIDIA 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/LICENSE-2.0
#
# Unless re... | 49.695906 | 89 | 0.600435 |
import argparse
import os
import torch
import deepspeed
def add_model_config_args(parser):
group = parser.add_argument_group('model', 'model configuration')
group.add_argument('--pretrained-bert', action='store_true',
help='use a pretrained bert-large-uncased model ins... | true | true |
f72cfd482c15f282554b38514a3e096adee885e0 | 22,294 | py | Python | configs/video_detect.py | me714/Dwin_Transformer | 825a63869c46db4ef83ccc31d479bbd971ffd47c | [
"Apache-2.0"
] | null | null | null | configs/video_detect.py | me714/Dwin_Transformer | 825a63869c46db4ef83ccc31d479bbd971ffd47c | [
"Apache-2.0"
] | null | null | null | configs/video_detect.py | me714/Dwin_Transformer | 825a63869c46db4ef83ccc31d479bbd971ffd47c | [
"Apache-2.0"
] | 1 | 2022-03-15T06:21:57.000Z | 2022-03-15T06:21:57.000Z | import argparse
import math
import os
import shutil
import time
import numpy as np
from pathlib import Path
from ensemble_boxes import *
import copy
import cv2
import torch
import torch.backends.cudnn as cudnn
from numpy import random
import matplotlib.pyplot as plt
from itertools import combinations
import random
fro... | 44.322068 | 157 | 0.540056 | import argparse
import math
import os
import shutil
import time
import numpy as np
from pathlib import Path
from ensemble_boxes import *
import copy
import cv2
import torch
import torch.backends.cudnn as cudnn
from numpy import random
import matplotlib.pyplot as plt
from itertools import combinations
import random
fro... | true | true |
f72cfd7e4073d6621ae92411769b73ecd011c187 | 3,768 | py | Python | api/vk_methods.py | greenjew/deeploma | 499de7ad844546acf0760aa00096d66216fd3ee9 | [
"MIT"
] | null | null | null | api/vk_methods.py | greenjew/deeploma | 499de7ad844546acf0760aa00096d66216fd3ee9 | [
"MIT"
] | null | null | null | api/vk_methods.py | greenjew/deeploma | 499de7ad844546acf0760aa00096d66216fd3ee9 | [
"MIT"
] | 1 | 2020-07-08T16:26:18.000Z | 2020-07-08T16:26:18.000Z | import requests as r
import pandas as pd
import time
from datetime import datetime
import re
TOKEN_VK = '23acc95023acc95023acc9504023c092a1223ac23acc9507ef4dc240205bcafea27244d' # vk service token
version = 5.101
def get_members(group_id):
try_count = 0
while try_count < 2:
try:
respon... | 35.885714 | 114 | 0.522293 | import requests as r
import pandas as pd
import time
from datetime import datetime
import re
TOKEN_VK = '23acc95023acc95023acc9504023c092a1223ac23acc9507ef4dc240205bcafea27244d'
version = 5.101
def get_members(group_id):
try_count = 0
while try_count < 2:
try:
response = r.get('https:... | true | true |
f72cfe472a8204ac2f26dd570050027f127c9500 | 956 | py | Python | examples/OGLE-BLG-ECL-234840/plot_v8.py | NewCPM/MCPM | 9fb9b7725ccc4452701be47d103ab61f81b4595b | [
"MIT"
] | 2 | 2018-04-10T22:35:11.000Z | 2018-05-16T21:00:40.000Z | examples/OGLE-BLG-ECL-234840/plot_v8.py | CPM-project/MCPM | 9fb9b7725ccc4452701be47d103ab61f81b4595b | [
"MIT"
] | null | null | null | examples/OGLE-BLG-ECL-234840/plot_v8.py | CPM-project/MCPM | 9fb9b7725ccc4452701be47d103ab61f81b4595b | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
from matplotlib import gridspec
import numpy as np
in_data = "run_6/run_6_e2_phot_prf_limit.dat"
in_model = "run_6/run_6_e2_phot.res"
out_file = "run_6/plot_eb234840_v8.png"
kwargs = {'color': 'red', 'marker': '.', 'ls': 'none'}
x_lim = [7500., 7528.]
y_lim = [-4000., 500.]
kwargs_1 ... | 23.9 | 69 | 0.676778 | import matplotlib.pyplot as plt
from matplotlib import gridspec
import numpy as np
in_data = "run_6/run_6_e2_phot_prf_limit.dat"
in_model = "run_6/run_6_e2_phot.res"
out_file = "run_6/plot_eb234840_v8.png"
kwargs = {'color': 'red', 'marker': '.', 'ls': 'none'}
x_lim = [7500., 7528.]
y_lim = [-4000., 500.]
kwargs_1 ... | true | true |
f72cfecb9a75e28d76c6235057fe3ad2011e3f3f | 4,092 | py | Python | code/txburstML.py | astrophys/Python_Debugging_Examples | 510b4b6966166dddc14eda3f6813700386d2324f | [
"MIT"
] | null | null | null | code/txburstML.py | astrophys/Python_Debugging_Examples | 510b4b6966166dddc14eda3f6813700386d2324f | [
"MIT"
] | null | null | null | code/txburstML.py | astrophys/Python_Debugging_Examples | 510b4b6966166dddc14eda3f6813700386d2324f | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import pandas as pd
import numpy as np
import warnings
warnings.filterwarnings('ignore')
from joblib import delayed,Parallel
import os
def whichKeep(est_params):
kon = np.array(est_params)[:,0]
koff = np.array(est_params)[:,1]
ksyn = np.array(est_params)[:,2]
which_ko... | 35.582609 | 137 | 0.631232 |
import argparse
import pandas as pd
import numpy as np
import warnings
warnings.filterwarnings('ignore')
from joblib import delayed,Parallel
import os
def whichKeep(est_params):
kon = np.array(est_params)[:,0]
koff = np.array(est_params)[:,1]
ksyn = np.array(est_params)[:,2]
which_kon = ~(kon < 2*1e-3... | true | true |
f72cffe0eeccd3aa5694823b8d218f07ea6e87a0 | 1,413 | py | Python | AI hack/Codes and Samples/image_process.py | AdarshSrivatsa98/AIhackathon | 147f6f2ada2ebf1ba6e87df3c3d1d6ee964ac7ee | [
"BSD-3-Clause"
] | 1 | 2021-03-29T04:27:27.000Z | 2021-03-29T04:27:27.000Z | codes and samples/image_process.py | SrivatsaAdarsh/Obstacle-Detection-using-CNN | 008940faffb8a9977b8dcc7a21dda4f328f0a81f | [
"MIT"
] | null | null | null | codes and samples/image_process.py | SrivatsaAdarsh/Obstacle-Detection-using-CNN | 008940faffb8a9977b8dcc7a21dda4f328f0a81f | [
"MIT"
] | null | null | null | import time
import cv2
import sys
import os,os.path
path = sys.argv[1]
data_path=sys.argv[2]
fpsLimit = 0.8
index = 0
currentFrame=0
intframe =0
startTime = time.time()
# Playing video from file:
cap = cv2.VideoCapture(str(path))
try:
if not os.path.exists('data_path'):
os.makedi... | 25.690909 | 64 | 0.521585 | import time
import cv2
import sys
import os,os.path
path = sys.argv[1]
data_path=sys.argv[2]
fpsLimit = 0.8
index = 0
currentFrame=0
intframe =0
startTime = time.time()
cap = cv2.VideoCapture(str(path))
try:
if not os.path.exists('data_path'):
os.makedirs('data_path')
except OSE... | true | true |
f72cffe6fb7e02f2604f6918e08414a09ad9a4c2 | 2,529 | py | Python | recommendations_system/ffm/ffm.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | 4 | 2019-12-04T08:42:21.000Z | 2020-06-07T07:22:08.000Z | recommendations_system/ffm/ffm.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | null | null | null | recommendations_system/ffm/ffm.py | mmikolajczak/recommendation_system_hetrec2011_movielens | 3ae13e62605ffbf5517bc2079e086a400de48748 | [
"MIT"
] | null | null | null | import subprocess
import warnings
import os.path as osp
import os
import numpy as np
# Note: libffm doesn't handle relative paths very well, hence abspath used.
class FFM:
def __init__(self, train_binary_path, predict_binary_path, model_path=None):
self.train_binary_path = osp.abspath(train_binary_path)
... | 41.459016 | 118 | 0.644128 | import subprocess
import warnings
import os.path as osp
import os
import numpy as np
class FFM:
def __init__(self, train_binary_path, predict_binary_path, model_path=None):
self.train_binary_path = osp.abspath(train_binary_path)
self.predict_binary_path = osp.abspath(predict_binary_path)
... | true | true |
f72d0142e44b378e8893afaa8b5bbafa3e81c8da | 2,259 | py | Python | src/EmailAlert/fancymail.py | JyotiSunkara/Energy-Monitoring-And-Control | efba4ac611e7054b78492ccf5e758a81621c8d6d | [
"MIT"
] | 1 | 2020-06-27T03:25:11.000Z | 2020-06-27T03:25:11.000Z | src/EmailAlert/fancymail.py | JyotiSunkara/Energy-Monitoring-And-Control | efba4ac611e7054b78492ccf5e758a81621c8d6d | [
"MIT"
] | null | null | null | src/EmailAlert/fancymail.py | JyotiSunkara/Energy-Monitoring-And-Control | efba4ac611e7054b78492ccf5e758a81621c8d6d | [
"MIT"
] | null | null | null | from smtplib import SMTP
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from jinja2 import Environment, FileSystemLoader
import os
from_email = 'krbdashboard@outlook.com'
password = 'ArushiSinghal'
env = Environment(
loader=FileSystemLoader('./templates/'))
def get_contacts(... | 25.670455 | 71 | 0.555556 | from smtplib import SMTP
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from jinja2 import Environment, FileSystemLoader
import os
from_email = 'krbdashboard@outlook.com'
password = 'ArushiSinghal'
env = Environment(
loader=FileSystemLoader('./templates/'))
def get_contacts(... | true | true |
f72d017e70b5e4176196a0457bdf724775bda1b5 | 5,587 | py | Python | sdk/python/pulumi_azure_nextgen/apimanagement/latest/get_api_release.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/apimanagement/latest/get_api_release.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/apimanagement/latest/get_api_release.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__a... | 36.279221 | 190 | 0.65026 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__all__ = [
'GetApiReleaseResult',
'AwaitableGetApiReleaseResult',
'get_api_release',
]
warnings.warn("""The 'latest' version is deprecated. Please migrate... | true | true |
f72d018e06b47ce1c3e6edeff90355eca52ef202 | 15,137 | py | Python | apps/resume/views.py | ozet-team/ozet-server | 4772d37339634adee6ace65a5e2380df4bd22bbb | [
"MIT"
] | null | null | null | apps/resume/views.py | ozet-team/ozet-server | 4772d37339634adee6ace65a5e2380df4bd22bbb | [
"MIT"
] | 4 | 2021-11-27T14:15:55.000Z | 2021-12-10T12:59:44.000Z | apps/resume/views.py | ozet-team/ozet-server | 4772d37339634adee6ace65a5e2380df4bd22bbb | [
"MIT"
] | null | null | null | from django.utils.functional import cached_property
from drf_spectacular.types import OpenApiTypes
from drf_spectacular.utils import extend_schema, OpenApiExample, OpenApiParameter
from rest_framework.exceptions import NotFound
from rest_framework.generics import (
ListCreateAPIView,
RetrieveUpdateAPIView,
... | 37.375309 | 117 | 0.658321 | from django.utils.functional import cached_property
from drf_spectacular.types import OpenApiTypes
from drf_spectacular.utils import extend_schema, OpenApiExample, OpenApiParameter
from rest_framework.exceptions import NotFound
from rest_framework.generics import (
ListCreateAPIView,
RetrieveUpdateAPIView,
... | true | true |
f72d027eb1356111f2daf107008ee00d025ad541 | 2,954 | py | Python | find_deathdomains.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | find_deathdomains.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | find_deathdomains.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from run_hmmer import RunHmmer
from Bio import SearchIO
import pandas as pd
import collections
import random
import tempfile
import argparse
import pprint
import glob
import sys
class FindDeathDomains(RunHmmer):
def __init__(self, seqfile, dd_hmm_path, *hmmersearch_args):
""" Sub... | 31.094737 | 133 | 0.58497 |
from run_hmmer import RunHmmer
from Bio import SearchIO
import pandas as pd
import collections
import random
import tempfile
import argparse
import pprint
import glob
import sys
class FindDeathDomains(RunHmmer):
def __init__(self, seqfile, dd_hmm_path, *hmmersearch_args):
self.dd_hmm_paths... | true | true |
f72d032ec7455ded65fafe668268d74e9cbda5cc | 2,306 | py | Python | models.py | phpwizz/SimpelApi | c2a5f28fff752fb84e99568a3e0dab5c37e03c94 | [
"MIT"
] | 1 | 2018-07-14T08:43:25.000Z | 2018-07-14T08:43:25.000Z | models.py | phpwizz/SimpelApi | c2a5f28fff752fb84e99568a3e0dab5c37e03c94 | [
"MIT"
] | null | null | null | models.py | phpwizz/SimpelApi | c2a5f28fff752fb84e99568a3e0dab5c37e03c94 | [
"MIT"
] | null | null | null | import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from passlib.apps import custom_app_context as pwd_context
import random, string
from itsdangerous import(T... | 26.813953 | 103 | 0.641804 | import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from passlib.apps import custom_app_context as pwd_context
import random, string
from itsdangerous import(T... | true | true |
f72d04129209f13907fb9ece50d3696c445c1bc3 | 11,522 | py | Python | gammapy/catalog/tests/test_hess.py | watsonjj/gammapy | 8d2498c8f63f73d1fbe4ba81ab02d9e72552df67 | [
"BSD-3-Clause"
] | null | null | null | gammapy/catalog/tests/test_hess.py | watsonjj/gammapy | 8d2498c8f63f73d1fbe4ba81ab02d9e72552df67 | [
"BSD-3-Clause"
] | null | null | null | gammapy/catalog/tests/test_hess.py | watsonjj/gammapy | 8d2498c8f63f73d1fbe4ba81ab02d9e72552df67 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from collections import Counter
import pytest
import numpy as np
from numpy.testing import assert_allclose
from astropy import units as u
from astropy.coordinates import SkyCoord, Angle
from astropy.table import Table
from ...utils.testing import assert_qu... | 37.167742 | 87 | 0.661083 |
from collections import Counter
import pytest
import numpy as np
from numpy.testing import assert_allclose
from astropy import units as u
from astropy.coordinates import SkyCoord, Angle
from astropy.table import Table
from ...utils.testing import assert_quantity_allclose
from ...utils.testing import requires_data, req... | true | true |
f72d04c38d826a7bc9753a2f6f269707d60b54c5 | 2,335 | py | Python | nmmo/entity/player.py | jsuarez5341/neural-mmo | 0828982e8a30641986fdd947ab82f34c008fafde | [
"MIT"
] | 230 | 2019-07-03T06:52:29.000Z | 2021-12-10T18:47:37.000Z | nmmo/entity/player.py | jsuarez5341/neural-mmo | 0828982e8a30641986fdd947ab82f34c008fafde | [
"MIT"
] | 16 | 2019-10-11T16:51:27.000Z | 2021-12-06T14:32:31.000Z | nmmo/entity/player.py | jsuarez5341/neural-mmo | 0828982e8a30641986fdd947ab82f34c008fafde | [
"MIT"
] | 40 | 2019-08-02T19:36:38.000Z | 2021-12-02T09:59:08.000Z | import numpy as np
from pdb import set_trace as T
import nmmo
from nmmo.systems import ai, equipment
from nmmo.lib import material
from nmmo.systems.skill import Skills
from nmmo.systems.achievement import Diary
from nmmo.entity import entity
class Player(entity.Entity):
def __init__(self, realm, pos, agent, colo... | 26.83908 | 71 | 0.651392 | import numpy as np
from pdb import set_trace as T
import nmmo
from nmmo.systems import ai, equipment
from nmmo.lib import material
from nmmo.systems.skill import Skills
from nmmo.systems.achievement import Diary
from nmmo.entity import entity
class Player(entity.Entity):
def __init__(self, realm, pos, agent, colo... | true | true |
f72d0563aa56e9c5a65d9965f487213c64d35e84 | 3,423 | py | Python | newchain_keys/main.py | newtonproject/newchain-keys.py | d8a053d78787dfc4403b57e60d54d0472d59787c | [
"MIT"
] | null | null | null | newchain_keys/main.py | newtonproject/newchain-keys.py | d8a053d78787dfc4403b57e60d54d0472d59787c | [
"MIT"
] | null | null | null | newchain_keys/main.py | newtonproject/newchain-keys.py | d8a053d78787dfc4403b57e60d54d0472d59787c | [
"MIT"
] | null | null | null | from typing import (Any, Union, Type) # noqa: F401
from newchain_keys.datatypes import (
LazyBackend,
PublicKey,
PrivateKey,
Signature,
)
from newchain_keys.exceptions import (
ValidationError,
)
from newchain_keys.validation import (
validate_message_hash,
)
# These must be aliased due to a... | 36.414894 | 95 | 0.643003 | from typing import (Any, Union, Type)
from newchain_keys.datatypes import (
LazyBackend,
PublicKey,
PrivateKey,
Signature,
)
from newchain_keys.exceptions import (
ValidationError,
)
from newchain_keys.validation import (
validate_message_hash,
)
_PublicKey = PublicKey
_PrivateKey = Priva... | true | true |
f72d059384ed8eef053b45a327b0c27c29814ac1 | 11,111 | py | Python | opentelemetry-sdk/tests/metrics/test_metrics.py | 3tilley/opentelemetry-python | 4ed4fd08db67de69369f87862e43562c2e43fed5 | [
"Apache-2.0"
] | null | null | null | opentelemetry-sdk/tests/metrics/test_metrics.py | 3tilley/opentelemetry-python | 4ed4fd08db67de69369f87862e43562c2e43fed5 | [
"Apache-2.0"
] | null | null | null | opentelemetry-sdk/tests/metrics/test_metrics.py | 3tilley/opentelemetry-python | 4ed4fd08db67de69369f87862e43562c2e43fed5 | [
"Apache-2.0"
] | null | null | null | # Copyright The OpenTelemetry 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 law or agreed to in ... | 34.187692 | 97 | 0.671587 |
from logging import WARNING
from unittest import TestCase
from unittest.mock import MagicMock, Mock, patch
from opentelemetry._metrics import NoOpMeter
from opentelemetry.sdk._metrics import Meter, MeterProvider
from opentelemetry.sdk._metrics.instrument import (
Counter,
Histogram,
Observab... | true | true |
f72d0628837767bf0423dbc36d367e46cce6f424 | 3,323 | py | Python | src/logistic_regression.py | MehdiAbbanaBennani/statistical-optimisation | 0de96661ca7ab857639ad14127b97af39321762e | [
"MIT"
] | null | null | null | src/logistic_regression.py | MehdiAbbanaBennani/statistical-optimisation | 0de96661ca7ab857639ad14127b97af39321762e | [
"MIT"
] | null | null | null | src/logistic_regression.py | MehdiAbbanaBennani/statistical-optimisation | 0de96661ca7ab857639ad14127b97af39321762e | [
"MIT"
] | null | null | null | import numpy as np
from tqdm import tqdm
from gradient import Gradient
class LogisticRegression:
def __init__(self, type, mu, gradient_param, data, d=100, theta=None):
if theta is None:
self.theta = np.random.rand(d) * 2 - 1
else:
self.theta = theta
self.type = ty... | 33.908163 | 82 | 0.520012 | import numpy as np
from tqdm import tqdm
from gradient import Gradient
class LogisticRegression:
def __init__(self, type, mu, gradient_param, data, d=100, theta=None):
if theta is None:
self.theta = np.random.rand(d) * 2 - 1
else:
self.theta = theta
self.type = ty... | true | true |
f72d0638d4148f7ac1513563b596e331e42a1b8a | 1,461 | py | Python | Advance_Python/Linked_List/Search_Ele_In_SLL.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | Advance_Python/Linked_List/Search_Ele_In_SLL.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | Advance_Python/Linked_List/Search_Ele_In_SLL.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | """
Python program to search for an element in the linked list using recursion
"""
class Node:
def __init__(self, data):
self.data = data
self.next = None
class Linked_list:
def __init__(self):
self.head = None
self.last_node = None
def append(self, data):
if s... | 26.563636 | 78 | 0.590691 |
class Node:
def __init__(self, data):
self.data = data
self.next = None
class Linked_list:
def __init__(self):
self.head = None
self.last_node = None
def append(self, data):
if self.last_node is None:
self.head = Node(data)
self.last_node = ... | true | true |
f72d0862c33d21e1bd9da9c2c2fa5d10f09f06f4 | 4,140 | py | Python | pystratis/api/federation/tests/test_federation.py | madrazzl3/pystratis | 8b78552e753ae1d12f2afb39e9a322a270fbb7b3 | [
"MIT"
] | null | null | null | pystratis/api/federation/tests/test_federation.py | madrazzl3/pystratis | 8b78552e753ae1d12f2afb39e9a322a270fbb7b3 | [
"MIT"
] | null | null | null | pystratis/api/federation/tests/test_federation.py | madrazzl3/pystratis | 8b78552e753ae1d12f2afb39e9a322a270fbb7b3 | [
"MIT"
] | null | null | null | import pytest
from pytest_mock import MockerFixture
from pystratis.api.federation.responsemodels import *
from pystratis.api.federation import Federation
from pystratis.core.networks import StraxMain, CirrusMain
def test_all_strax_endpoints_implemented(strax_swagger_json):
paths = [key.lower() for key in strax_sw... | 38.333333 | 100 | 0.700966 | import pytest
from pytest_mock import MockerFixture
from pystratis.api.federation.responsemodels import *
from pystratis.api.federation import Federation
from pystratis.core.networks import StraxMain, CirrusMain
def test_all_strax_endpoints_implemented(strax_swagger_json):
paths = [key.lower() for key in strax_sw... | true | true |
f72d089f873a7c0b075b4dd30a15b63980100580 | 20,269 | py | Python | tools/ami-creator/scripts/win2019_cuda11_installer.py | mseth10/incubator-mxnet-ci | 36a5050b9c7bd720a4aa87d225738400083d611d | [
"Apache-2.0"
] | 10 | 2019-08-19T17:12:52.000Z | 2021-11-07T21:25:32.000Z | tools/ami-creator/scripts/win2019_cuda11_installer.py | mseth10/incubator-mxnet-ci | 36a5050b9c7bd720a4aa87d225738400083d611d | [
"Apache-2.0"
] | 16 | 2019-10-22T17:07:40.000Z | 2022-02-08T23:33:27.000Z | tools/ami-creator/scripts/win2019_cuda11_installer.py | mseth10/incubator-mxnet-ci | 36a5050b9c7bd720a4aa87d225738400083d611d | [
"Apache-2.0"
] | 15 | 2019-08-25T18:44:54.000Z | 2021-11-07T21:25:25.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 42.852008 | 227 | 0.660763 |
__author__ = 'Pedro Larroy, Chance Bair, Joe Evans'
__version__ = '0.4'
import argparse
import errno
import logging
import os
import psutil
import shutil
import subprocess
import urllib
import stat
import tempfile
import zipfile
from time import sleep
from urllib.error import HTTPError
import loggin... | true | true |
f72d09e2fff6278a2ca4a3ec916f0240a3598469 | 2,143 | py | Python | tests/examples/test_examples.py | ibraheemmmoosa/lightning-flash | c60fef81b27174543d7ad3a4d841faf71ad8536c | [
"Apache-2.0"
] | 2 | 2021-06-25T08:42:36.000Z | 2021-06-25T08:49:29.000Z | tests/examples/test_examples.py | edenlightning/lightning-flash | 841986aa0081bdeaf785d1ed4c48dd108fa69a78 | [
"Apache-2.0"
] | null | null | null | tests/examples/test_examples.py | edenlightning/lightning-flash | 841986aa0081bdeaf785d1ed4c48dd108fa69a78 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 31.514706 | 81 | 0.674755 |
import subprocess
import sys
from pathlib import Path
from typing import List, Optional, Tuple
import pytest
root = Path(__file__).parent.parent.parent
def call_script(filepath: str,
args: Optional[List[str]] = None,
timeout: Optional[int] = 60 * 5) -> Tuple[int, str, st... | true | true |
f72d0a505a4a11b305a59432ae84c13cac527366 | 1,848 | py | Python | tests/functional/tests/rbd-mirror/test_rbd_mirror.py | u-kosmonaft-u/ceph-ansible | 14c472707c165f77def05826b22885480af3e8f9 | [
"Apache-2.0"
] | 1,570 | 2015-01-03T08:38:22.000Z | 2022-03-31T09:24:37.000Z | tests/functional/tests/rbd-mirror/test_rbd_mirror.py | u-kosmonaft-u/ceph-ansible | 14c472707c165f77def05826b22885480af3e8f9 | [
"Apache-2.0"
] | 4,964 | 2015-01-05T10:41:44.000Z | 2022-03-31T07:59:49.000Z | tests/functional/tests/rbd-mirror/test_rbd_mirror.py | u-kosmonaft-u/ceph-ansible | 14c472707c165f77def05826b22885480af3e8f9 | [
"Apache-2.0"
] | 1,231 | 2015-01-04T11:48:16.000Z | 2022-03-31T12:15:28.000Z | import pytest
import json
class TestRbdMirrors(object):
@pytest.mark.no_docker
def test_rbd_mirror_is_installed(self, node, host):
assert host.package("rbd-mirror").is_installed
def test_rbd_mirror_service_enabled_and_running(self, node, host):
service_name = "ceph-rbd-mirror@rbd-mirror.... | 42 | 216 | 0.62987 | import pytest
import json
class TestRbdMirrors(object):
@pytest.mark.no_docker
def test_rbd_mirror_is_installed(self, node, host):
assert host.package("rbd-mirror").is_installed
def test_rbd_mirror_service_enabled_and_running(self, node, host):
service_name = "ceph-rbd-mirror@rbd-mirror.... | true | true |
f72d0b8d703a8988d4c6fdaaab16ad16480f62ab | 10,785 | py | Python | src/summarycode/summarizer.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | src/summarycode/summarizer.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | src/summarycode/summarizer.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# ScanCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/scancode-toolkit for support or download.
# See https://aboutcode.org for more in... | 33.915094 | 99 | 0.697636 |
from collections import defaultdict
import attr
import fingerprints
from commoncode.cliutils import POST_SCAN_GROUP, PluggableCommandLineOption
from license_expression import Licensing
from plugincode.post_scan import PostScanPlugin, post_scan_impl
from cluecode.copyrights import CopyrightDetector
from packa... | true | true |
f72d0b98b7272d4c524f74d442bb17b81bda3d2a | 1,257 | py | Python | salt/pillar/varstack_pillar.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 3 | 2015-04-16T18:42:35.000Z | 2017-10-30T16:57:49.000Z | salt/pillar/varstack_pillar.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 16 | 2015-11-18T00:44:03.000Z | 2018-10-29T20:48:27.000Z | salt/pillar/varstack_pillar.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 4 | 2020-11-04T06:28:05.000Z | 2022-02-09T10:54:49.000Z | # -*- coding: utf-8 -*-
'''
Use `Varstack <https://github.com/conversis/varstack>`_ data as a Pillar source
Configuring Varstack
====================
Using varstack in Salt is fairly simple. Just put the following into the
config file of your master:
.. code-block:: yaml
ext_pillar:
- varstack: /etc/varst... | 22.854545 | 79 | 0.703262 |
from __future__ import absolute_import
import logging
HAS_VARSTACK = False
try:
import varstack
HAS_VARSTACK = True
except ImportError:
pass
log = logging.getLogger(__name__)
__virtualname__ = 'varstack'
def __virtual__():
if not HAS_VARSTACK:
return False
return __virtualname__
... | true | true |
f72d0c4a82e81d1e634b40b84dd34a80b3db88c1 | 113 | py | Python | Codeforces/637B Nastya and Door.py | a3X3k/Competitive-programing-hacktoberfest-2021 | bc3997997318af4c5eafad7348abdd9bf5067b4f | [
"Unlicense"
] | 12 | 2021-06-05T09:40:10.000Z | 2021-10-07T17:59:51.000Z | Codeforces/637B Nastya and Door.py | a3X3k/Competitive-programing-hacktoberfest-2021 | bc3997997318af4c5eafad7348abdd9bf5067b4f | [
"Unlicense"
] | 21 | 2020-10-10T10:41:03.000Z | 2020-10-31T10:41:23.000Z | Codeforces/637B Nastya and Door.py | a3X3k/Competitive-programing-hacktoberfest-2021 | bc3997997318af4c5eafad7348abdd9bf5067b4f | [
"Unlicense"
] | 67 | 2021-08-01T10:04:52.000Z | 2021-10-10T00:25:04.000Z | t = int(input())
for t in range(t):
m,d=map(int,input().split())
l = list(map(int,input().split()))
| 22.6 | 38 | 0.530973 | t = int(input())
for t in range(t):
m,d=map(int,input().split())
l = list(map(int,input().split()))
| true | true |
f72d0cd7918505dd6a72b02b05dfa02f870e64c9 | 710 | py | Python | News163_Spider/News163_Spider/pipelines.py | a904919863/Spiders_Collection | 970aef563971eba5c9dca5dfe1cd8790561941be | [
"MIT"
] | 3 | 2022-02-23T02:44:47.000Z | 2022-02-28T06:41:26.000Z | News163_Spider/News163_Spider/pipelines.py | a904919863/Spiders_Collection | 970aef563971eba5c9dca5dfe1cd8790561941be | [
"MIT"
] | null | null | null | News163_Spider/News163_Spider/pipelines.py | a904919863/Spiders_Collection | 970aef563971eba5c9dca5dfe1cd8790561941be | [
"MIT"
] | null | null | null | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class News163SpiderPipeline:
fp = None
... | 25.357143 | 66 | 0.64507 |
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
class News163SpiderPipeline:
fp = None
def open_spider(self,spider):
print('开始爬虫......')
self.fp = open('./news163.txt'... | true | true |
f72d0f27a1d1b5199bb5a8833ffec4a28cd377c8 | 2,104 | py | Python | PasswordManager/LoginDialog.py | whymatter/PasswordManager | 86070a1f998362cfa026e6e6e9b820a2d7ad5f06 | [
"MIT"
] | null | null | null | PasswordManager/LoginDialog.py | whymatter/PasswordManager | 86070a1f998362cfa026e6e6e9b820a2d7ad5f06 | [
"MIT"
] | null | null | null | PasswordManager/LoginDialog.py | whymatter/PasswordManager | 86070a1f998362cfa026e6e6e9b820a2d7ad5f06 | [
"MIT"
] | null | null | null | import sys
import os.path
from PyQt5 import QtWidgets, uic
from PyQt5.QtWidgets import QApplication, QTableWidgetItem
from Crypto.Cipher import AES
import json
from constants import FILE_NAME, KEY_ENCODING
from PwWindow import PwWindow
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 17 13:53:56 2017
@au... | 30.492754 | 93 | 0.586502 | import sys
import os.path
from PyQt5 import QtWidgets, uic
from PyQt5.QtWidgets import QApplication, QTableWidgetItem
from Crypto.Cipher import AES
import json
from constants import FILE_NAME, KEY_ENCODING
from PwWindow import PwWindow
class LoginDialog(QtWidgets.QDialog):
def __init__(self, paren... | true | true |
f72d0f3414639adbfb45b04d9d66268327301c51 | 380 | py | Python | apps/db_data/migrations/0018_auto_20200723_2120.py | rhu2001/csua-backend | d2464c7eacfd1d675e0cc08f93f3b5083fa591dc | [
"MIT"
] | null | null | null | apps/db_data/migrations/0018_auto_20200723_2120.py | rhu2001/csua-backend | d2464c7eacfd1d675e0cc08f93f3b5083fa591dc | [
"MIT"
] | null | null | null | apps/db_data/migrations/0018_auto_20200723_2120.py | rhu2001/csua-backend | d2464c7eacfd1d675e0cc08f93f3b5083fa591dc | [
"MIT"
] | null | null | null | # Generated by Django 2.2.12 on 2020-07-24 04:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('db_data', '0017_notice'),
]
operations = [
migrations.AlterField(
model_name='officer',
name='officer_since',
... | 20 | 48 | 0.592105 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('db_data', '0017_notice'),
]
operations = [
migrations.AlterField(
model_name='officer',
name='officer_since',
field=models.DateField(blank=True),
... | true | true |
f72d0f3e5dbf9fe0132a52a219eaa07ffb21b9cc | 4,297 | py | Python | npy_append_array/npy_append_array.py | synapticarbors/npy-append-array | bf33483e7c2c50e13c9e55940878ca8217f4d4ad | [
"MIT"
] | null | null | null | npy_append_array/npy_append_array.py | synapticarbors/npy-append-array | bf33483e7c2c50e13c9e55940878ca8217f4d4ad | [
"MIT"
] | null | null | null | npy_append_array/npy_append_array.py | synapticarbors/npy-append-array | bf33483e7c2c50e13c9e55940878ca8217f4d4ad | [
"MIT"
] | null | null | null | import numpy as np
import os.path
from struct import pack, unpack
from io import BytesIO
def header_tuple_dict(tuple_in):
return {
'shape': tuple_in[0],
'fortran_order': tuple_in[1],
'descr': np.lib.format.dtype_to_descr(tuple_in[2])
}
def has_fortran_order(arr):
return not arr.fla... | 29.431507 | 78 | 0.573191 | import numpy as np
import os.path
from struct import pack, unpack
from io import BytesIO
def header_tuple_dict(tuple_in):
return {
'shape': tuple_in[0],
'fortran_order': tuple_in[1],
'descr': np.lib.format.dtype_to_descr(tuple_in[2])
}
def has_fortran_order(arr):
return not arr.fla... | true | true |
f72d0fdb931b1dcc84a293aeef05fc7e649e1c49 | 23 | py | Python | prepack/__init__.py | CargoCodes/PreparePack | 3d1d3623c0c86ab02a92a567ed954fb37e18b8fa | [
"MIT"
] | null | null | null | prepack/__init__.py | CargoCodes/PreparePack | 3d1d3623c0c86ab02a92a567ed954fb37e18b8fa | [
"MIT"
] | null | null | null | prepack/__init__.py | CargoCodes/PreparePack | 3d1d3623c0c86ab02a92a567ed954fb37e18b8fa | [
"MIT"
] | null | null | null | from .prepack import *
| 11.5 | 22 | 0.73913 | from .prepack import *
| true | true |
f72d1029095787de77bafa202e5314c2ea6e90db | 262 | py | Python | examples/client.py | Scauting-Burgum/RemoteVar | bc3b1ffaace5defed1cd3a3e7042002717a3e44a | [
"MIT"
] | 1 | 2018-06-14T14:59:56.000Z | 2018-06-14T14:59:56.000Z | examples/client.py | Scauting-Burgum/ScautEvent-python | bc3b1ffaace5defed1cd3a3e7042002717a3e44a | [
"MIT"
] | null | null | null | examples/client.py | Scauting-Burgum/ScautEvent-python | bc3b1ffaace5defed1cd3a3e7042002717a3e44a | [
"MIT"
] | null | null | null | from ScautEvent.client import EventClient
from ScautEvent.common import Event
client = EventClient("localhost", 5000)
client.listeners["message"] = print
client.start()
while True:
message = input()
event = Event("message", message)
client.push(event)
| 18.714286 | 41 | 0.748092 | from ScautEvent.client import EventClient
from ScautEvent.common import Event
client = EventClient("localhost", 5000)
client.listeners["message"] = print
client.start()
while True:
message = input()
event = Event("message", message)
client.push(event)
| true | true |
f72d105dd8903c3509596490416a261c9efa1878 | 7,239 | py | Python | tests/gold_tests/tls/tls_tunnel_forward.test.py | masaori335/trafficserver | 58e7e8675c96a5a4eb958a442942892f6e2a0ef4 | [
"Apache-2.0"
] | 1 | 2019-10-28T04:36:50.000Z | 2019-10-28T04:36:50.000Z | tests/gold_tests/tls/tls_tunnel_forward.test.py | masaori335/trafficserver | 58e7e8675c96a5a4eb958a442942892f6e2a0ef4 | [
"Apache-2.0"
] | 1 | 2021-06-27T23:06:33.000Z | 2021-06-27T23:06:33.000Z | tests/gold_tests/tls/tls_tunnel_forward.test.py | masaori335/trafficserver | 58e7e8675c96a5a4eb958a442942892f6e2a0ef4 | [
"Apache-2.0"
] | null | null | null | '''
'''
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License");... | 60.325 | 332 | 0.754524 |
import os
Test.Summary = '''
Test tunneling and forwarding based on SNI
'''
ts = Test.MakeATSProcess("ts", select_ports=False)
server_foo = Test.MakeOriginServer("server_foo", ssl=True)
server_bar = Test.MakeOriginServer("server_bar", ssl=False)
server_random = Test.MakeOriginServer("server_random", s... | true | true |
f72d1174e70c56ea9c0c9a435927929db9497bbd | 1,820 | py | Python | resources/WPy32/python-3.10.2/Lib/distutils/tests/test_bdist.py | eladkarako/yt-dlp_kit | 6365651111ef4d2f94335cf38bf4d9b0136d42d2 | [
"Unlicense"
] | 1 | 2022-03-26T15:43:50.000Z | 2022-03-26T15:43:50.000Z | resources/WPy32/python-3.10.2/Lib/distutils/tests/test_bdist.py | eladkarako/yt-dlp_kit | 6365651111ef4d2f94335cf38bf4d9b0136d42d2 | [
"Unlicense"
] | null | null | null | resources/WPy32/python-3.10.2/Lib/distutils/tests/test_bdist.py | eladkarako/yt-dlp_kit | 6365651111ef4d2f94335cf38bf4d9b0136d42d2 | [
"Unlicense"
] | 1 | 2022-03-28T19:28:45.000Z | 2022-03-28T19:28:45.000Z | """Tests for distutils.command.bdist."""
import os
import unittest
from test.support import run_unittest
import warnings
with warnings.catch_warnings():
warnings.simplefilter('ignore', DeprecationWarning)
from distutils.command.bdist import bdist
from distutils.tests import support
class Buil... | 31.929825 | 77 | 0.591209 | import os
import unittest
from test.support import run_unittest
import warnings
with warnings.catch_warnings():
warnings.simplefilter('ignore', DeprecationWarning)
from distutils.command.bdist import bdist
from distutils.tests import support
class BuildTestCase(support.TempdirManager,
... | true | true |
f72d1185c8f7b68defcc43981f991746536dc0b5 | 484 | py | Python | speedysvc/toolkit/py_ini/write/conv_to_str.py | mcyph/shmrpc | 4e0e972657f677a845eb6e7acbf788535c07117a | [
"Unlicense",
"MIT"
] | 4 | 2020-02-11T04:20:57.000Z | 2021-06-20T10:03:52.000Z | speedysvc/toolkit/py_ini/write/conv_to_str.py | mcyph/shmrpc | 4e0e972657f677a845eb6e7acbf788535c07117a | [
"Unlicense",
"MIT"
] | 1 | 2020-09-16T23:18:30.000Z | 2020-09-21T10:07:22.000Z | speedysvc/toolkit/py_ini/write/conv_to_str.py | mcyph/shmrpc | 4e0e972657f677a845eb6e7acbf788535c07117a | [
"Unlicense",
"MIT"
] | null | null | null | def conv_to_str(o):
if isinstance(o, str):
# Remove initial "u" chars before strings
# if no Unicode in them if possible
try:
o = str(o)
except:
o = str(o)
elif isinstance(o, (list, tuple)):
is_tuple = isinstance(o, tuple)
o = [conv_to_str... | 23.047619 | 49 | 0.5 | def conv_to_str(o):
if isinstance(o, str):
try:
o = str(o)
except:
o = str(o)
elif isinstance(o, (list, tuple)):
is_tuple = isinstance(o, tuple)
o = [conv_to_str(i) for i in o]
if is_tuple:
o = tuple(o)
elif isi... | true | true |
f72d11981b4d9f232355f2e60ad86e0a43b91b4f | 11,383 | py | Python | tests/v16/test_enums.py | Jonas628/discovere_ocpp | 6456e72a9d6725634725756e67fcfd5be007de79 | [
"MIT"
] | null | null | null | tests/v16/test_enums.py | Jonas628/discovere_ocpp | 6456e72a9d6725634725756e67fcfd5be007de79 | [
"MIT"
] | null | null | null | tests/v16/test_enums.py | Jonas628/discovere_ocpp | 6456e72a9d6725634725756e67fcfd5be007de79 | [
"MIT"
] | null | null | null | # flake8: noqa
from ocpp_d.v16.enums import *
def test_authorization_status():
assert AuthorizationStatus.accepted == "Accepted"
assert AuthorizationStatus.blocked == "Blocked"
assert AuthorizationStatus.expired == "Expired"
assert AuthorizationStatus.invalid == "Invalid"
assert AuthorizationStatu... | 36.136508 | 68 | 0.734516 |
from ocpp_d.v16.enums import *
def test_authorization_status():
assert AuthorizationStatus.accepted == "Accepted"
assert AuthorizationStatus.blocked == "Blocked"
assert AuthorizationStatus.expired == "Expired"
assert AuthorizationStatus.invalid == "Invalid"
assert AuthorizationStatus.concurrent_t... | true | true |
f72d122ad8ca0a487720f9630a8a2086444e3a23 | 384 | py | Python | 1stRound/Easy/819 Most Common Word/RegexCounter1.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | 2 | 2020-04-24T18:36:52.000Z | 2020-04-25T00:15:57.000Z | 1stRound/Easy/819 Most Common Word/RegexCounter1.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | 1stRound/Easy/819 Most Common Word/RegexCounter1.py | ericchen12377/Leetcode-Algorithm-Python | eb58cd4f01d9b8006b7d1a725fc48910aad7f192 | [
"MIT"
] | null | null | null | import collections
import re
class Solution(object):
def mostCommonWord(self, paragraph, banned):
"""
:type paragraph: str
:type banned: List[str]
:rtype: str
"""
paragraph = re.findall(r"\w+", paragraph.lower())
count = collections.Counter(x for x in paragrap... | 29.538462 | 76 | 0.606771 | import collections
import re
class Solution(object):
def mostCommonWord(self, paragraph, banned):
paragraph = re.findall(r"\w+", paragraph.lower())
count = collections.Counter(x for x in paragraph if x not in banned)
return count.most_common(1)[0][0]
| true | true |
f72d12744056fae45f212a2dfb4d1368b26b9baf | 15,546 | py | Python | test/tools.py | jni/asv | f1ec1c157d52c77a799853062dac3468fab3e2ab | [
"BSD-3-Clause"
] | null | null | null | test/tools.py | jni/asv | f1ec1c157d52c77a799853062dac3468fab3e2ab | [
"BSD-3-Clause"
] | 3 | 2018-07-26T17:56:30.000Z | 2018-07-27T20:23:27.000Z | test/tools.py | jni/asv | f1ec1c157d52c77a799853062dac3468fab3e2ab | [
"BSD-3-Clause"
] | 3 | 2018-07-25T22:53:31.000Z | 2018-09-16T06:14:43.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, unicode_literals, print_function
"""
This file contains utilities to generate test repositories.
"""
import datetime
import io
import os
import threading
import time
import six
im... | 29.724665 | 95 | 0.607487 |
from __future__ import absolute_import, division, unicode_literals, print_function
import datetime
import io
import os
import threading
import time
import six
import tempfile
import textwrap
import sys
from os.path import abspath, join, dirname, relpath, isdir
from contextlib import contextmanager
from hashlib imp... | true | true |
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