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5d846c4f5fe50040e453b4319c358d9c4d712cf8 | 3,075 | py | Python | lipnet/core/decoders.py | mulmang/KLipNet | a35cdb990158ec8b05a4e98aa920b92e75914b00 | [
"MIT"
] | null | null | null | lipnet/core/decoders.py | mulmang/KLipNet | a35cdb990158ec8b05a4e98aa920b92e75914b00 | [
"MIT"
] | 9 | 2020-05-25T11:28:20.000Z | 2022-03-12T00:27:53.000Z | lipnet/core/decoders.py | mulmang/KLipNet | a35cdb990158ec8b05a4e98aa920b92e75914b00 | [
"MIT"
] | 1 | 2020-05-25T11:07:06.000Z | 2020-05-25T11:07:06.000Z | # -*- coding: utf-8 -*-
from keras import backend as K
import numpy as np
def _decode(y_pred, input_length, greedy=True, beam_width=100, top_paths=1):
"""Decodes the output of a softmax.
Can use either greedy search (also known as best path)
or a constrained dictionary search.
# Arguments
y_pr... | 43.928571 | 94 | 0.640976 |
89a6bac49051043ed775e2f06ba19583cdfdc884 | 6,431 | py | Python | ShootingML.py | nicholastoddsmith/ShootingML | 8873b55b85a725301222b43b30df13fc54cb4dfd | [
"BSD-3-Clause"
] | null | null | null | ShootingML.py | nicholastoddsmith/ShootingML | 8873b55b85a725301222b43b30df13fc54cb4dfd | [
"BSD-3-Clause"
] | null | null | null | ShootingML.py | nicholastoddsmith/ShootingML | 8873b55b85a725301222b43b30df13fc54cb4dfd | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Author: Nicholas T. Smith
Date: September 1st 2020
Desc: An implementation of the shooting regressor described here:
https://arxiv.org/pdf/2009.06172.pdf
"""
from joblib import Parallel, parallel_backend, delayed
import numpy as np
import pandas ... | 33.494792 | 114 | 0.508008 |
621d522c36a87f78af1f509dc1d6ea2d77ac43c6 | 10,010 | py | Python | pipeline/scripts/post_processing/make_genelist_gt.py | gturco/find_cns | 63e08d17d9c81e250ef2637216fbf947cc295823 | [
"MIT"
] | 4 | 2016-03-21T19:19:24.000Z | 2019-10-23T09:20:13.000Z | pipeline/scripts/post_processing/make_genelist_gt.py | hengbingao/find_cns | 63e08d17d9c81e250ef2637216fbf947cc295823 | [
"MIT"
] | 10 | 2016-03-21T16:55:29.000Z | 2022-03-22T07:26:03.000Z | pipeline/scripts/post_processing/make_genelist_gt.py | hengbingao/find_cns | 63e08d17d9c81e250ef2637216fbf947cc295823 | [
"MIT"
] | 5 | 2016-03-02T16:20:05.000Z | 2021-07-28T02:31:23.000Z | """
('name', 'chr', other_org_name + '_orthologs',
other_org_name + '_orthologous_cns',
other_org_name +
'_NON_orthologous_cns_count', 'other_' +
other_org_name + 'pairs', 'dups', 'strand',
'cds_locations', 'labels', 'link')
"""
import collections
import operator
import sys
sys.path.append... | 36.937269 | 119 | 0.61029 |
8c65bd1782711e6110365aa28e71b811f51f52d6 | 9,976 | py | Python | main/settings.py | dasmith2/davebase | 940b0d375d25da9621502a4e52d1cf04716f81fe | [
"MIT"
] | null | null | null | main/settings.py | dasmith2/davebase | 940b0d375d25da9621502a4e52d1cf04716f81fe | [
"MIT"
] | null | null | null | main/settings.py | dasmith2/davebase | 940b0d375d25da9621502a4e52d1cf04716f81fe | [
"MIT"
] | null | null | null | """
Don't modify this file on specific sites. Use this_site_settings.py for that.
This file should stay the same between all the sites.
"""
import os
import re
import sys
import warnings
import django_heroku
""" What environment are you in? Just check your settings! """
DEBUG = os.path.exists('main/local_settings.py... | 35.628571 | 105 | 0.743284 |
787ae15b9dc04911197b3ca54d5090e13d8c503f | 105 | py | Python | Train/GA/test_csv.py | polbebe/PinkPanther | c6ba47956b2cae6468ac0cfe56229b5434fec754 | [
"MIT"
] | null | null | null | Train/GA/test_csv.py | polbebe/PinkPanther | c6ba47956b2cae6468ac0cfe56229b5434fec754 | [
"MIT"
] | null | null | null | Train/GA/test_csv.py | polbebe/PinkPanther | c6ba47956b2cae6468ac0cfe56229b5434fec754 | [
"MIT"
] | null | null | null | import pandas as pd
df = pd.read_csv('GA_Test_0.0.0.csv')
a = df['Best Values'].to_numpy()
print(a[0]) | 15 | 37 | 0.666667 |
ddfe2db451bcd725240a7aefdcf2b34355890aeb | 31,873 | py | Python | emscripten.py | nhhollander/emscripten | 32dfcc9bc2bf92bbb92717a07c15a1418e2c1343 | [
"MIT"
] | 1 | 2021-11-16T15:18:32.000Z | 2021-11-16T15:18:32.000Z | emscripten.py | tklajnscek/emscripten | a8a0d8e79ed5d4aa640e18ae7497ef4c48e5beaa | [
"MIT"
] | null | null | null | emscripten.py | tklajnscek/emscripten | a8a0d8e79ed5d4aa640e18ae7497ef4c48e5beaa | [
"MIT"
] | null | null | null | # Copyright 2010 The Emscripten Authors. All rights reserved.
# Emscripten is available under two separate licenses, the MIT license and the
# University of Illinois/NCSA Open Source License. Both these licenses can be
# found in the LICENSE file.
"""A small wrapper script around the core JS compiler. This calls tha... | 38.125598 | 194 | 0.690396 |
94e195cd3b5fcf46ab98d37fc66f28b85a2d1c58 | 49,229 | py | Python | gamestonk_terminal/stocks/technical_analysis/ta_controller.py | JakubPluta/GamestonkTerminal | 3eb200fbea467d808ab401962e1d62022b7a2338 | [
"MIT"
] | 1 | 2022-01-18T00:49:22.000Z | 2022-01-18T00:49:22.000Z | gamestonk_terminal/stocks/technical_analysis/ta_controller.py | JakubPluta/GamestonkTerminal | 3eb200fbea467d808ab401962e1d62022b7a2338 | [
"MIT"
] | 1 | 2022-01-15T01:24:24.000Z | 2022-01-15T01:24:24.000Z | gamestonk_terminal/stocks/technical_analysis/ta_controller.py | JakubPluta/GamestonkTerminal | 3eb200fbea467d808ab401962e1d62022b7a2338 | [
"MIT"
] | 1 | 2021-11-07T20:59:25.000Z | 2021-11-07T20:59:25.000Z | """Technical Analysis Controller Module"""
__docformat__ = "numpy"
# pylint:disable=too-many-lines,R0904,C0201
import argparse
from typing import List
from datetime import datetime, timedelta
import pandas as pd
from prompt_toolkit.completion import NestedCompleter
from gamestonk_terminal.rich_config import console
f... | 35.881195 | 120 | 0.548803 |
97b6a32ebbc18557974316cbc55ba32ea004fa2f | 23,897 | py | Python | Platform/ApollolakeBoardPkg/Script/StitchIfwi.py | donnayoyo/slimbootloader | 017e7012f81423668f0b5c74e0f6b3a7e7634f65 | [
"BSD-2-Clause"
] | null | null | null | Platform/ApollolakeBoardPkg/Script/StitchIfwi.py | donnayoyo/slimbootloader | 017e7012f81423668f0b5c74e0f6b3a7e7634f65 | [
"BSD-2-Clause"
] | null | null | null | Platform/ApollolakeBoardPkg/Script/StitchIfwi.py | donnayoyo/slimbootloader | 017e7012f81423668f0b5c74e0f6b3a7e7634f65 | [
"BSD-2-Clause"
] | null | null | null | ## @ StitchIfwi.py
# This is a python stitching script for Slim Bootloader APL build
#
# Copyright (c) 2019, Intel Corporation. All rights reserved. <BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
#
##
import sys
import os
import re
import struct
import argparse
import zipfile
import shutil
import glob
import shl... | 35.508172 | 185 | 0.600368 |
df231a669e2a5b453cb5dd7ece35fddac2345f92 | 3,573 | py | Python | holdem_calc.py | monchewharry/holdem_calc | 37db21a3609667a656b8fc0b6f45a8bbc7d67363 | [
"MIT"
] | null | null | null | holdem_calc.py | monchewharry/holdem_calc | 37db21a3609667a656b8fc0b6f45a8bbc7d67363 | [
"MIT"
] | null | null | null | holdem_calc.py | monchewharry/holdem_calc | 37db21a3609667a656b8fc0b6f45a8bbc7d67363 | [
"MIT"
] | null | null | null | import time
import holdem_functions
import holdem_argparser
def main():
hole_cards, num, exact, board, file_name = holdem_argparser.parse_args()
run(hole_cards, num, exact, board, file_name, True)
def calculate(board, exact, num, input_file, hole_cards, verbose):
args = holdem_argparser.LibArgs(board, ex... | 48.283784 | 80 | 0.656311 |
b985db4e406984038fb67ad01dca3e360e6f4494 | 18,379 | py | Python | api/highlight_server/server/views.py | dmivilensky/highlight | 869948540734604a096966216fd9062ab6f42059 | [
"MIT"
] | 4 | 2020-04-19T13:59:45.000Z | 2020-05-22T16:41:00.000Z | api/highlight_server/server/views.py | dmivilensky/highlight | 869948540734604a096966216fd9062ab6f42059 | [
"MIT"
] | 15 | 2020-04-04T09:26:17.000Z | 2022-03-30T06:24:19.000Z | api/highlight_server/server/views.py | dmivilensky/highlight | 869948540734604a096966216fd9062ab6f42059 | [
"MIT"
] | 1 | 2020-04-04T12:54:56.000Z | 2020-04-04T12:54:56.000Z | import json
# Create your views here.
import os
import asyncio
import sys
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from bson.objectid import ObjectId
# from .forms import UploadFileForm
import docx
import time
import datetime
from .logger import Logger
from .forms imp... | 27.309064 | 243 | 0.595952 |
18ff0321f89a98425d835cf8247715fb17d894e1 | 661 | py | Python | scripts/opcode_header_gen.py | jevinskie/pypcode-emu | 49d62090df9b25a7c4e35eee3532c3763f4e4286 | [
"MIT"
] | 13 | 2022-02-27T03:35:24.000Z | 2022-03-21T10:39:16.000Z | scripts/opcode_header_gen.py | jevinskie/pypcode-emu | 49d62090df9b25a7c4e35eee3532c3763f4e4286 | [
"MIT"
] | null | null | null | scripts/opcode_header_gen.py | jevinskie/pypcode-emu | 49d62090df9b25a7c4e35eee3532c3763f4e4286 | [
"MIT"
] | 1 | 2022-03-21T01:24:00.000Z | 2022-03-21T01:24:00.000Z | #!/usr/bin/env python3
from bidict import bidict
from pypcode import OpCode
p = lambda *args, **kwargs: print(*args, **kwargs)
opcodes = {}
for _, opc in OpCode.__members__.items():
opcodes[opc.name] = opc.value
opcodes = bidict(sorted(opcodes.items(), key=lambda x: x[1]))
p("#pragma once")
p()
p("#include <cst... | 20.030303 | 61 | 0.596067 |
59e4eabb270cbf99f9e5356c3788796538e3302a | 5,613 | py | Python | lib/matplotlib/backends/backend_mixed.py | KelvinLi/matplotlib | c3f31a0dc6c4eea4e0513febf651eae467f9878b | [
"MIT",
"BSD-3-Clause"
] | null | null | null | lib/matplotlib/backends/backend_mixed.py | KelvinLi/matplotlib | c3f31a0dc6c4eea4e0513febf651eae467f9878b | [
"MIT",
"BSD-3-Clause"
] | null | null | null | lib/matplotlib/backends/backend_mixed.py | KelvinLi/matplotlib | c3f31a0dc6c4eea4e0513febf651eae467f9878b | [
"MIT",
"BSD-3-Clause"
] | null | null | null | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from matplotlib._image import frombuffer
from matplotlib.backends.backend_agg import RendererAgg
from matplotlib.tight_bbox import process_figure_for_rasterizing
__all__ = [str('MixedModeRenderer')... | 38.979167 | 77 | 0.637983 |
3846e5d1c3364e0aeae61b8a6d5ee7c45558da3e | 61 | py | Python | 01_challenge.py | FreshTaker/PythonChallenge | 1cc8137dcb5d1877c1871c55be43435a949c4c5c | [
"MIT"
] | null | null | null | 01_challenge.py | FreshTaker/PythonChallenge | 1cc8137dcb5d1877c1871c55be43435a949c4c5c | [
"MIT"
] | null | null | null | 01_challenge.py | FreshTaker/PythonChallenge | 1cc8137dcb5d1877c1871c55be43435a949c4c5c | [
"MIT"
] | null | null | null | # This is for the first python challenge
a = 2**38
print(a)
| 12.2 | 40 | 0.688525 |
d33f5f18c7137d8011947fba6ee9bce27a4884f0 | 11,501 | py | Python | train_model.py | frinklai/code_of_auth | d2e203bcdb612c611a2e0cf32fb0ed9a3b6e058a | [
"Apache-2.0"
] | 2 | 2019-05-21T15:06:39.000Z | 2019-10-31T06:19:11.000Z | train_model.py | frinklai/code_of_auth | d2e203bcdb612c611a2e0cf32fb0ed9a3b6e058a | [
"Apache-2.0"
] | null | null | null | train_model.py | frinklai/code_of_auth | d2e203bcdb612c611a2e0cf32fb0ed9a3b6e058a | [
"Apache-2.0"
] | 1 | 2019-06-27T12:33:17.000Z | 2019-06-27T12:33:17.000Z | import os
import sys
import random
import math
import re
import time
import numpy as np
import cv2
import matplotlib
import matplotlib.pyplot as plt
import tensorflow as tf
from mrcnn.config import Config
#import utils
from mrcnn import model as modellib,utils
from mrcnn import visualize
import yaml
from mrcnn.model im... | 37.220065 | 115 | 0.579776 |
7e1cebbcb2652f91c0efad5c41bbbadcc9c06b5f | 841 | py | Python | hayrack/tests/smoke/server.py | ProjectMeniscus/hayrack | 586cf22ef39d60c529aae50d18af529c87d7ce08 | [
"Apache-2.0"
] | null | null | null | hayrack/tests/smoke/server.py | ProjectMeniscus/hayrack | 586cf22ef39d60c529aae50d18af529c87d7ce08 | [
"Apache-2.0"
] | null | null | null | hayrack/tests/smoke/server.py | ProjectMeniscus/hayrack | 586cf22ef39d60c529aae50d18af529c87d7ce08 | [
"Apache-2.0"
] | 1 | 2020-11-17T19:07:03.000Z | 2020-11-17T19:07:03.000Z | from specter import Spec, incomplete
class Server(Spec):
""" Smoke tests around server-side IO. """
class Connection(Spec):
@incomplete
def can_start_an_io_loop(self):
pass
@incomplete
def can_stop_the_io_loop(self):
pass
@incomplete
d... | 20.512195 | 52 | 0.577883 |
a0b8e495d9d16005e51614030e451fc9a68288ef | 1,220 | py | Python | airflow/contrib/operators/databricks_operator.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 8 | 2017-04-20T16:15:44.000Z | 2020-10-11T13:44:10.000Z | airflow/contrib/operators/databricks_operator.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 219 | 2017-03-15T18:40:16.000Z | 2022-02-28T22:52:43.000Z | airflow/contrib/operators/databricks_operator.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 4 | 2020-07-17T14:02:28.000Z | 2022-02-23T04:29:58.000Z | #
# 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... | 39.354839 | 97 | 0.777869 |
b0b32fd50da38882933b6126f4d5e7b0e3174b2d | 5,643 | py | Python | setup.py | tperol/stable-baselines | a139bb77866f094388b4f7ce096a6ad3695c9b7a | [
"MIT"
] | 1 | 2022-03-23T11:39:35.000Z | 2022-03-23T11:39:35.000Z | setup.py | tperol/stable-baselines | a139bb77866f094388b4f7ce096a6ad3695c9b7a | [
"MIT"
] | null | null | null | setup.py | tperol/stable-baselines | a139bb77866f094388b4f7ce096a6ad3695c9b7a | [
"MIT"
] | 1 | 2019-02-20T10:29:47.000Z | 2019-02-20T10:29:47.000Z | import sys
import subprocess
from setuptools import setup, find_packages
from distutils.version import LooseVersion
if sys.version_info.major != 3:
print('This Python is only compatible with Python 3, but you are running '
'Python {}. The installation will likely fail.'.format(sys.version_info.major))
#... | 38.650685 | 835 | 0.707071 |
49422a2446736e811957b08d9e2c90a30d556418 | 440 | py | Python | 10 Days of Statistics/Normal Distribution II.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | 2 | 2018-08-29T13:51:11.000Z | 2018-08-31T17:06:38.000Z | 10 Days of Statistics/Normal Distribution II.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | null | null | null | 10 Days of Statistics/Normal Distribution II.py | adi-797/10-Days-of-Statistics-Hackerrank | f603db45ad1485fdcac5488557f51a793d950b54 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUT.
import math
def normal(x, mu, sigma):
return 0.500 * ( 1 + math.erf( (x - mu) / ( sigma * math.sqrt(2) ) ) )
mu = 70.000
sigma = 10.000
x = 80.000
y = 60.000
pB = normal(100, mu, sigma) - normal(x, mu, sigma)
print "%.3f" % (pB*100)
pB = n... | 20 | 74 | 0.593182 |
9e31611584fc9b5fb10bf1d9486f28df96f7a81a | 94 | py | Python | engine/algorithm/__init__.py | jackaduma/py-recommender-framework | 9c47ae23ccfeccbc2146f9091bf9fa6cb69dc90b | [
"Apache-2.0"
] | 1 | 2022-03-21T01:44:59.000Z | 2022-03-21T01:44:59.000Z | engine/algorithm/__init__.py | jackaduma/py-recommender-framework | 9c47ae23ccfeccbc2146f9091bf9fa6cb69dc90b | [
"Apache-2.0"
] | null | null | null | engine/algorithm/__init__.py | jackaduma/py-recommender-framework | 9c47ae23ccfeccbc2146f9091bf9fa6cb69dc90b | [
"Apache-2.0"
] | null | null | null | #!python2.7
# -*- coding: utf-8 -*-
"""
Created by kun on 2016/10/10.
"""
__author__ = 'kun'
| 11.75 | 29 | 0.56383 |
103c941ba3aa25092bad7fb68938786a64917154 | 1,069 | py | Python | examples/wine_comparison.py | johncollins/metric-learn | 01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9 | [
"BSD-2-Clause"
] | 4 | 2015-02-02T21:49:27.000Z | 2018-07-05T04:16:50.000Z | examples/wine_comparison.py | johncollins/metric-learn | 01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9 | [
"BSD-2-Clause"
] | null | null | null | examples/wine_comparison.py | johncollins/metric-learn | 01746ec3ce9f7039900cd50be48ef6fa0d3ed1b9 | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
import os
# Read the csv file wherein the class is the first column and transform to data
# Everything is numeric so we can just use a numpy array right off the bat
data = np.genfromtxt(os.path.join('data', 'wine', 'wine.csv'), skip_header=True, delimiter=',')
y, X = data[:,0], data[:,1:]
#X = (X - ... | 39.592593 | 95 | 0.757717 |
b61bc9d6a3ed6cf502502ba27d870ec23fe72b6d | 3,366 | py | Python | examples/realtime/plot_compute_rt_decoder.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 2 | 2015-09-27T20:33:49.000Z | 2020-04-22T19:10:56.000Z | examples/realtime/plot_compute_rt_decoder.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | null | null | null | examples/realtime/plot_compute_rt_decoder.py | Anevar/mne-python | 15b19ed6b9364ae4787f0df2fd7e689b3c0a30bb | [
"BSD-3-Clause"
] | 1 | 2019-10-23T06:11:28.000Z | 2019-10-23T06:11:28.000Z | """
=======================
Decoding real-time data
=======================
Supervised machine learning applied to MEG data in sensor space.
Here the classifier is updated every 5 trials and the decoding
accuracy is plotted
"""
# Authors: Mainak Jas <mainak@neuro.hut.fi>
#
# License: BSD (3-clause)
print(__doc__)
im... | 30.053571 | 76 | 0.643791 |
705e200b7ad2f2a774dfaead53397d5731a15b66 | 258 | py | Python | PYTHON/Numpy/sum_and_prod.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Numpy/sum_and_prod.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Numpy/sum_and_prod.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import numpy
s = list(map(int, input().split()))
N, M = s[0], s[1]
arr = []
for _ in range(0, N):
temp = list(map(int, input().split()))
arr.append(temp)
n = numpy.array(arr)
print(numpy.prod(numpy.sum(n, axis=0)))
| 19.846154 | 42 | 0.612403 |
eb6a7bf2f7e7fda56860deafa2cfd3bc963d4fdb | 775 | py | Python | app/forms/email_form.py | petechd/eq-questionnaire-runner | 1c5b182a7f8bc878cfdd767ae080410fa679abd6 | [
"MIT"
] | null | null | null | app/forms/email_form.py | petechd/eq-questionnaire-runner | 1c5b182a7f8bc878cfdd767ae080410fa679abd6 | [
"MIT"
] | null | null | null | app/forms/email_form.py | petechd/eq-questionnaire-runner | 1c5b182a7f8bc878cfdd767ae080410fa679abd6 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms.validators import Email, InputRequired
from app.forms import error_messages
from app.forms.questionnaire_form import map_subfield_errors
from app.forms.validators import EmailTLDCheck
class EmailForm(FlaskForm):
email = StringField(
... | 29.807692 | 66 | 0.682581 |
1df049df745a1071105d62c028f5f0953532e42e | 2,059 | py | Python | src/array_processing.py | leckman/exocode | a88754b889687a268fb140282de1ce8e1b7c8992 | [
"MIT-0"
] | 1 | 2015-08-12T15:52:39.000Z | 2015-08-12T15:52:39.000Z | src/array_processing.py | leckman/exocode | a88754b889687a268fb140282de1ce8e1b7c8992 | [
"MIT-0"
] | null | null | null | src/array_processing.py | leckman/exocode | a88754b889687a268fb140282de1ce8e1b7c8992 | [
"MIT-0"
] | null | null | null | '''
Copyright (c) 2015, Laura Eckman
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, ... | 33.754098 | 77 | 0.674599 |
e2a1119c5151d2099344b96304d6be45c6c27d96 | 3,715 | py | Python | Past_experiments/E-6.py | abogdanova/FedMed | 72f238c31b6714c664e1b0e40204f9528f764182 | [
"MIT"
] | 5 | 2019-07-23T14:49:46.000Z | 2022-03-30T13:54:22.000Z | Past_experiments/E-6.py | abogdanova/FedMed | 72f238c31b6714c664e1b0e40204f9528f764182 | [
"MIT"
] | null | null | null | Past_experiments/E-6.py | abogdanova/FedMed | 72f238c31b6714c664e1b0e40204f9528f764182 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import collections
import numpy as np
from six.moves import range
import tensorflow as tf
import datetime
from tensorflow_federated import python as tff
from tensorflow.python.keras.optimizer_v2 import gradient_descent
from tensorflow.keras import layer... | 33.468468 | 113 | 0.696904 |
4904a09a7bf6ef27551495c5b280857cdb49c0f8 | 668 | py | Python | random-scripts/gcc2llvm/func.py | h4sh5/bcddb | 11c65d4927e23c4a7df5a75c46a48966d1e428fd | [
"BSD-3-Clause"
] | null | null | null | random-scripts/gcc2llvm/func.py | h4sh5/bcddb | 11c65d4927e23c4a7df5a75c46a48966d1e428fd | [
"BSD-3-Clause"
] | null | null | null | random-scripts/gcc2llvm/func.py | h4sh5/bcddb | 11c65d4927e23c4a7df5a75c46a48966d1e428fd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
class BasicBlock:
# each basic block has its name, and line number
def __init__(self, name: str, startLine:int, code:str):
# as in lines inside source code
self.startLine = startLine
self.endLine = endLine
self.lines = endLine - startLine
self.code = code
self.name = name
clas... | 21.548387 | 63 | 0.715569 |
9fa0355a9d9da4dc395e952c64db3cbfe7e24307 | 1,483 | py | Python | tests/test.py | Sappharad/aacgain | afeaf0173f3b3b37af1f5db4418089a2786a4bb6 | [
"Unlicense"
] | 13 | 2019-08-07T09:39:12.000Z | 2022-02-24T12:56:49.000Z | tests/test.py | Sappharad/aacgain | afeaf0173f3b3b37af1f5db4418089a2786a4bb6 | [
"Unlicense"
] | 1 | 2019-07-23T01:23:27.000Z | 2019-07-23T01:23:27.000Z | tests/test.py | Sappharad/aacgain | afeaf0173f3b3b37af1f5db4418089a2786a4bb6 | [
"Unlicense"
] | 3 | 2019-07-22T22:29:31.000Z | 2020-09-02T05:42:58.000Z | #!/usr/bin/env python
import subprocess
import sys
import os.path
import re
# Gain intentionally lowered by 4dB, resulting in a ~5dB positive ReplayGain adjustment
MATCHER = re.compile('Recommended "Album" dB change for all files: ([0-9.]+)')
def main():
if len(sys.argv) < 2:
raise Exception("Give path ... | 32.23913 | 87 | 0.681052 |
08b99c78a7b001c90b36b27c2368d4d069100071 | 5,746 | py | Python | airflow/security/kerberos.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 8 | 2017-04-20T16:15:44.000Z | 2020-10-11T13:44:10.000Z | airflow/security/kerberos.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 219 | 2017-03-15T18:40:16.000Z | 2022-02-28T22:52:43.000Z | airflow/security/kerberos.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 3 | 2016-07-14T21:51:10.000Z | 2020-10-12T13:26:36.000Z | #!/usr/bin/env python
# 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
# "Li... | 36.138365 | 109 | 0.659241 |
440549b35e0f45932ba8a5f7f4932196c1a7a2b5 | 4,606 | py | Python | custom/_legacy/pact/reports/admin_dot_reports.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | 1 | 2017-02-10T03:14:51.000Z | 2017-02-10T03:14:51.000Z | custom/_legacy/pact/reports/admin_dot_reports.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | null | null | null | custom/_legacy/pact/reports/admin_dot_reports.py | dslowikowski/commcare-hq | ad8885cf8dab69dc85cb64f37aeaf06106124797 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime, timedelta
import logging
import uuid
from couchdbkit import ResourceNotFound
from corehq.apps.reports.datatables import DataTablesHeader, DataTablesColumn
from corehq.apps.reports.generic import GenericTabularReport
from corehq.apps.reports.standard import CustomProjectReport
from pact.mo... | 41.872727 | 160 | 0.616804 |
856af5f317666e51525ab4bea9c4923f6775d853 | 3,007 | py | Python | setup.py | Devocean8-Official/checkov | 8ce61421fa838a97981ab3bd0ae2a12e541666b2 | [
"Apache-2.0"
] | null | null | null | setup.py | Devocean8-Official/checkov | 8ce61421fa838a97981ab3bd0ae2a12e541666b2 | [
"Apache-2.0"
] | null | null | null | setup.py | Devocean8-Official/checkov | 8ce61421fa838a97981ab3bd0ae2a12e541666b2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import logging
import os
from importlib import util
from os import path
import setuptools
from setuptools import setup
# read the contents of your README file
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, "README.md"), encoding="utf-8") as f:
long_... | 28.102804 | 88 | 0.57998 |
5337daa324b43c8a4793dd8cdde7f3943c28d5e7 | 1,125 | py | Python | budgetportal/tests/test_posts_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | budgetportal/tests/test_posts_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | budgetportal/tests/test_posts_pages.py | TomaszKolek/datamanager | d46dbab00e30a14fc26eb9368c32dcdbbda7309d | [
"MIT"
] | null | null | null | from django.test import Client, TestCase
from budgetportal.models import PostIndexPage, PostPage
class PostIndexPageTestCase(TestCase):
fixtures = ["test-posts-pages"]
def setUp(self):
self.post_index_page = PostIndexPage.objects.get(id=6)
self.post_page = PostPage.objects.get(id=7)
def ... | 35.15625 | 66 | 0.706667 |
17af8425e2fbcb7a599190ab40cf8146e3cd079b | 54 | py | Python | idseq_pipeline/__main__.py | cdebourcy/idseq-pipeline | 0f3d58ab36896bb01ab3929d8386c0e2774765f4 | [
"MIT"
] | null | null | null | idseq_pipeline/__main__.py | cdebourcy/idseq-pipeline | 0f3d58ab36896bb01ab3929d8386c0e2774765f4 | [
"MIT"
] | 159 | 2018-01-11T01:54:12.000Z | 2021-01-13T23:11:48.000Z | idseq_pipeline/__main__.py | cdebourcy/idseq-pipeline | 0f3d58ab36896bb01ab3929d8386c0e2774765f4 | [
"MIT"
] | 2 | 2019-04-17T18:10:36.000Z | 2020-03-11T08:30:54.000Z | import cli
if __name__ == "__main__":
cli.main()
| 10.8 | 26 | 0.62963 |
849e11839d628fbc47bffaf49f0811e91f19b391 | 4,739 | py | Python | baseball_scraper/utils.py | spilchen/pybaseball | 494f4ea6c4bd7717543e77d596da5246ac442842 | [
"MIT"
] | 20 | 2019-08-07T07:25:29.000Z | 2021-10-02T18:11:09.000Z | baseball_scraper/utils.py | spilchen/pybaseball | 494f4ea6c4bd7717543e77d596da5246ac442842 | [
"MIT"
] | 1 | 2021-02-19T16:45:33.000Z | 2021-02-19T16:45:33.000Z | baseball_scraper/utils.py | spilchen/pybaseball | 494f4ea6c4bd7717543e77d596da5246ac442842 | [
"MIT"
] | 7 | 2020-05-22T13:25:05.000Z | 2022-01-06T04:21:54.000Z | import pandas as pd
import requests
import datetime
import io
import zipfile
# dictionary containing team abbreviations and their first year in existance
first_season_map = {'ALT': 1884, 'ANA': 1997, 'ARI': 1998, 'ATH': 1871,
'ATL': 1966, 'BAL': 1872, 'BLA': 1901, 'BLN': 1892,
... | 46.460784 | 236 | 0.571007 |
5c28e424bd51775e83fb685f5a853d8ecf493d93 | 7,810 | py | Python | utils/duplicated_prodtypes.py | Jakuje/content | 881c2140a49b79db37c8798568d507478d7ddb4b | [
"BSD-3-Clause"
] | 3 | 2015-08-08T06:54:03.000Z | 2019-03-25T02:37:54.000Z | utils/duplicated_prodtypes.py | Jakuje/content | 881c2140a49b79db37c8798568d507478d7ddb4b | [
"BSD-3-Clause"
] | 1 | 2020-10-14T17:31:39.000Z | 2020-10-14T17:31:39.000Z | utils/duplicated_prodtypes.py | Jakuje/content | 881c2140a49b79db37c8798568d507478d7ddb4b | [
"BSD-3-Clause"
] | 1 | 2020-10-12T19:15:34.000Z | 2020-10-12T19:15:34.000Z | import sys
import os
import argparse
import subprocess
import jinja2
import yaml
import ssg
def _create_profile_cache(ssg_root):
profile_cache = {}
product_list = ['debian9', 'debian10', 'fedora', 'ol7', 'opensuse', 'rhel6',
'rhel7', 'sle12', 'ubuntu1604', 'ubuntu1804',
... | 30.038462 | 182 | 0.600256 |
db6a1caf239669562ff70a87d0a6afad43f52971 | 1,467 | py | Python | EE475/Ch7P3.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | EE475/Ch7P3.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | EE475/Ch7P3.py | PhoeniXuzoo/NU-Projects | a217ad46e6876ceffb3dec1d6e52f775674b2e8b | [
"MIT"
] | null | null | null | import autograd.numpy as np
import matplotlib.pyplot as plt
from autograd import grad
from autograd.misc.flatten import flatten_func
def readData(csvname):
data = np.loadtxt(csvname, delimiter=',')
x = data[:-1, :]
y = data[-1:, :]
return x, y
def model(x, w):
a = w[0] + np.dot(x.T, w[1:])
re... | 23.66129 | 71 | 0.59441 |
3f38f2b9faa53485b6d0e2dbe6716bdc2c625a37 | 2,179 | py | Python | how-to-guides/data-versioning/scripts/Compare_model_training_runs_on_dataset_versions.py | neptune-ai/examples | e64cfaadb028e2187063fc43768dfee44074729b | [
"MIT"
] | 15 | 2021-06-11T16:35:15.000Z | 2022-03-29T15:53:59.000Z | how-to-guides/data-versioning/scripts/Compare_model_training_runs_on_dataset_versions.py | neptune-ai/examples | e64cfaadb028e2187063fc43768dfee44074729b | [
"MIT"
] | 12 | 2021-04-26T13:07:50.000Z | 2021-11-15T10:50:03.000Z | how-to-guides/data-versioning/scripts/Compare_model_training_runs_on_dataset_versions.py | neptune-ai/examples | e64cfaadb028e2187063fc43768dfee44074729b | [
"MIT"
] | 10 | 2021-05-07T16:28:18.000Z | 2022-02-28T21:47:11.000Z | import neptune.new as neptune
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
TRAIN_DATASET_PATH = '../datasets/tables/train.csv'
TEST_DATASET_PATH = '../datasets/tables/test.csv'
PARAMS = {'n_estimators': 7,
'max_depth': 2,
'max_features': 2,
}
def train_model(... | 26.901235 | 81 | 0.725103 |
ecad00c99bfae4c655a5b4d241a56c17547ac8fe | 14,471 | py | Python | uhd_restpy/testplatform/sessions/ixnetwork/topology/isisl3pseudoifaceattpoint2config_37681cb7f2d7b1eb6c812c1b9f243542.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | uhd_restpy/testplatform/sessions/ixnetwork/topology/isisl3pseudoifaceattpoint2config_37681cb7f2d7b1eb6c812c1b9f243542.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | uhd_restpy/testplatform/sessions/ixnetwork/topology/isisl3pseudoifaceattpoint2config_37681cb7f2d7b1eb6c812c1b9f243542.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify,... | 44.526154 | 214 | 0.653514 |
f50ca7a4a0da485deb3d9249fe4d1a1634f9bdfd | 106 | py | Python | backend/src/stores/__init__.py | fjacob21/mididecweb | b65f28eb6fdeafa265796b6190a4264a5eac54ce | [
"MIT"
] | null | null | null | backend/src/stores/__init__.py | fjacob21/mididecweb | b65f28eb6fdeafa265796b6190a4264a5eac54ce | [
"MIT"
] | 88 | 2016-11-12T14:54:38.000Z | 2018-08-02T00:25:07.000Z | backend/src/stores/__init__.py | mididecouverte/mididecweb | b65f28eb6fdeafa265796b6190a4264a5eac54ce | [
"MIT"
] | null | null | null | from .memory import MemoryStore
from .sqlite import SqliteStore
__all__ = [MemoryStore, SqliteStore]
| 21.2 | 37 | 0.783019 |
a69e689131515ab416d31797bd64af2e81e9be3c | 126 | py | Python | blackmamba/lib/pyflakes/__main__.py | oz90210/blackmamba | 65c82c8e99028d6fbb57098ce82d0a394df215a0 | [
"MIT"
] | 345 | 2015-01-01T01:27:51.000Z | 2022-02-12T14:46:53.000Z | blackmamba/lib/pyflakes/__main__.py | oz90210/blackmamba | 65c82c8e99028d6fbb57098ce82d0a394df215a0 | [
"MIT"
] | 39 | 2017-08-20T15:10:36.000Z | 2020-03-31T18:45:57.000Z | blackmamba/lib/pyflakes/__main__.py | oz90210/blackmamba | 65c82c8e99028d6fbb57098ce82d0a394df215a0 | [
"MIT"
] | 96 | 2015-01-05T01:51:29.000Z | 2019-06-07T12:10:22.000Z | from pyflakes.api import main
# python -m pyflakes (with Python >= 2.7)
if __name__ == '__main__':
main(prog='pyflakes')
| 21 | 41 | 0.68254 |
36653527fd7370d1588e272de5760ce4138281a9 | 523 | py | Python | src/main.py | johnhoman/kubeflow-defaulting | e831982363f7724acacd72d64ae49f550922c684 | [
"Apache-2.0"
] | null | null | null | src/main.py | johnhoman/kubeflow-defaulting | e831982363f7724acacd72d64ae49f550922c684 | [
"Apache-2.0"
] | null | null | null | src/main.py | johnhoman/kubeflow-defaulting | e831982363f7724acacd72d64ae49f550922c684 | [
"Apache-2.0"
] | null | null | null | import fastapi
from pydantic import BaseModel
from prometheus_fastapi_instrumentator import Instrumentator
from src import spark, profile
app = fastapi.FastAPI()
app.include_router(spark.router, prefix="/spark")
app.include_router(profile.router, prefix="/profile")
# something in this is throwing warnings
Instrume... | 21.791667 | 62 | 0.787763 |
686d8583d4a9d143d45ee7d9934b562ae874e762 | 1,802 | py | Python | src/util/filter.py | chrisnig/long-term-workload | 6a56182115f3f736e7c141abf868f2370e2bb8d7 | [
"MIT"
] | null | null | null | src/util/filter.py | chrisnig/long-term-workload | 6a56182115f3f736e7c141abf868f2370e2bb8d7 | [
"MIT"
] | null | null | null | src/util/filter.py | chrisnig/long-term-workload | 6a56182115f3f736e7c141abf868f2370e2bb8d7 | [
"MIT"
] | null | null | null | # TupleFilter class inspired by Nick (https://stackoverflow.com/users/2480947)
# https://stackoverflow.com/a/44321960
# Permission was given by the original author to use this code under the MIT license.
from collections import defaultdict
class TupleFilter:
def __init__(self, data: dict) -> None:
self.d... | 36.77551 | 90 | 0.655383 |
c479ef61f2e3001fdbe75a0b26a943bffa686427 | 14,845 | py | Python | src/python/models/resnet.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | src/python/models/resnet.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | src/python/models/resnet.py | joennlae/halutmatmul | 69340d3386298401d421b0e67dcb0649534b0c12 | [
"MIT"
] | null | null | null | """
Modified from https://raw.githubusercontent.com/pytorch/vision/main/torchvision/models/resnet.py
BSD 3-Clause License
Copyright (c) Soumith Chintala 2016,
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are me... | 36.74505 | 101 | 0.581812 |
12ff8c49e0f56e34719f7ff100927974d154835b | 8,287 | py | Python | custom_components/fritzbox_tools/config_flow.py | PetePete/ha-fritzbox-tools | ed7e97b053b1d52b7343d139b2b2ac7a4040605c | [
"MIT"
] | null | null | null | custom_components/fritzbox_tools/config_flow.py | PetePete/ha-fritzbox-tools | ed7e97b053b1d52b7343d139b2b2ac7a4040605c | [
"MIT"
] | null | null | null | custom_components/fritzbox_tools/config_flow.py | PetePete/ha-fritzbox-tools | ed7e97b053b1d52b7343d139b2b2ac7a4040605c | [
"MIT"
] | null | null | null | """Config flow to configure the FRITZ!Box Tools integration."""
import logging
import voluptuous as vol
from homeassistant import config_entries
from .const import (
DOMAIN,
CONF_PROFILE_ON,
CONF_PROFILE_OFF,
CONF_USE_DEFLECTIONS,
CONF_USE_DEVICES,
CONF_USE_WIFI,
CONF_USE_PORT,
DEFAULT_... | 34.966245 | 94 | 0.602389 |
eec6e89d69f48c3ead4557c8a444638b35c0786e | 5,123 | py | Python | buildroot-2017.08/support/testing/tests/fs/test_iso9660.py | xregist/v3s-linux-sdk | a2b013e3959662d65650a13fc23ec1cd503865eb | [
"Apache-2.0"
] | 4 | 2020-04-28T02:12:34.000Z | 2021-02-23T01:57:39.000Z | buildroot-2017.08/support/testing/tests/fs/test_iso9660.py | xregist/v3s-linux-sdk | a2b013e3959662d65650a13fc23ec1cd503865eb | [
"Apache-2.0"
] | null | null | null | buildroot-2017.08/support/testing/tests/fs/test_iso9660.py | xregist/v3s-linux-sdk | a2b013e3959662d65650a13fc23ec1cd503865eb | [
"Apache-2.0"
] | 5 | 2018-05-16T16:36:08.000Z | 2020-11-04T05:51:11.000Z | import os
import infra.basetest
BASIC_CONFIG = \
"""
BR2_x86_pentium4=y
BR2_TOOLCHAIN_EXTERNAL=y
BR2_TOOLCHAIN_EXTERNAL_CUSTOM=y
BR2_TOOLCHAIN_EXTERNAL_DOWNLOAD=y
BR2_TOOLCHAIN_EXTERNAL_URL="http://autobuild.buildroot.org/toolchains/tarballs/br-i386-pentium4-full-2015.05-496-g85945aa.tar.bz2"
BR2_TOOLCHAIN_EXTERNAL_G... | 31.429448 | 130 | 0.726918 |
393b9c325ffa8852f7b598ecd5c0605b30cc814f | 1,354 | py | Python | test_client.py | antoinecarme/pytorch2sql | 1705ba92917dd848e9d0c08a0054f4b93b6aa3e5 | [
"BSD-3-Clause"
] | 4 | 2021-01-21T11:12:37.000Z | 2022-02-21T03:08:41.000Z | test_client.py | antoinecarme/pytorch2sql | 1705ba92917dd848e9d0c08a0054f4b93b6aa3e5 | [
"BSD-3-Clause"
] | null | null | null | test_client.py | antoinecarme/pytorch2sql | 1705ba92917dd848e9d0c08a0054f4b93b6aa3e5 | [
"BSD-3-Clause"
] | 1 | 2021-09-19T15:05:37.000Z | 2021-09-19T15:05:37.000Z |
import pickle, json, requests, base64
from sklearn import datasets
import torch
from torch import nn
import torch.nn.functional as F
import skorch
from skorch import NeuralNetClassifier
torch.manual_seed(1960)
torch.set_default_tensor_type('torch.DoubleTensor')
def create_model():
hidden_units = 15
n... | 20.208955 | 77 | 0.686115 |
ca92f31d7be368c5973f2797b58025180993380f | 3,657 | py | Python | tests/builtins/test_divmod.py | SouravJohar/voc | 82d1d03dff8619dc04cddd0e7fdfeb712f82363a | [
"BSD-3-Clause"
] | 1 | 2018-10-04T21:46:37.000Z | 2018-10-04T21:46:37.000Z | tests/builtins/test_divmod.py | SouravJohar/voc | 82d1d03dff8619dc04cddd0e7fdfeb712f82363a | [
"BSD-3-Clause"
] | null | null | null | tests/builtins/test_divmod.py | SouravJohar/voc | 82d1d03dff8619dc04cddd0e7fdfeb712f82363a | [
"BSD-3-Clause"
] | 1 | 2020-06-16T17:07:25.000Z | 2020-06-16T17:07:25.000Z | from .. utils import TranspileTestCase, BuiltinFunctionTestCase, BuiltinTwoargFunctionTestCase
class DivmodTests(TranspileTestCase):
pass
class BuiltinDivmodFunctionTests(BuiltinFunctionTestCase, TranspileTestCase):
functions = ["divmod"]
not_implemented = [
'test_bool',
'test_bytearray... | 25.047945 | 94 | 0.608149 |
f278f93197f99e9dbc6e68588a959e243e99143e | 893 | py | Python | code/Images/gif.py | 0ptik41/Tools | bd5270735c96a0d99db12e6dd83cca1531746082 | [
"MIT"
] | 1 | 2021-03-21T15:01:41.000Z | 2021-03-21T15:01:41.000Z | code/Images/gif.py | 0ptik41/Tools | bd5270735c96a0d99db12e6dd83cca1531746082 | [
"MIT"
] | null | null | null | code/Images/gif.py | 0ptik41/Tools | bd5270735c96a0d99db12e6dd83cca1531746082 | [
"MIT"
] | null | null | null | import os, sys, ppm
# convert folder of images to gif, 1st str is input video, 2nd is out gif fmt
vid2gif = 'ffmpeg -i %s -vf "fps=10,scale=%d:-1:flags=lanczos,'\
'split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" -loop 1 %s'
# convert video to images, 1st str is input video, 2nd is output im fmt
vid2img = 'mkdir... | 40.590909 | 77 | 0.657335 |
f413f2977968fe29ccadd932404c2c3a1bc1e588 | 13,854 | py | Python | sdk/storage/azure-storage-file-share/azure/storage/fileshare/_generated/aio/operations/_service_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/storage/azure-storage-file-share/azure/storage/fileshare/_generated/aio/operations/_service_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/storage/azure-storage-file-share/azure/storage/fileshare/_generated/aio/operations/_service_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 51.311111 | 146 | 0.673452 |
37b5088388a5b6f788277ef9294395a594a0b22f | 4,577 | py | Python | src/python/WMCore/WMConnectionBase.py | tslazarova/WMCore | a09e2aefe700fb9b0d12b9f7089b21bde5a5bd62 | [
"Apache-2.0"
] | 1 | 2015-02-05T13:43:46.000Z | 2015-02-05T13:43:46.000Z | src/python/WMCore/WMConnectionBase.py | tslazarova/WMCore | a09e2aefe700fb9b0d12b9f7089b21bde5a5bd62 | [
"Apache-2.0"
] | 1 | 2016-10-13T14:57:35.000Z | 2016-10-13T14:57:35.000Z | src/python/WMCore/WMConnectionBase.py | juztas/WMCore | f7e830a573d50fb1d7240797f18d809f994b934d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
_WMBSBase_
Generic methods used by all of the WMBS classes.
"""
import threading
import copy
from WMCore.Database.Transaction import Transaction
from WMCore.DAOFactory import DAOFactory
try:
from contextlib import contextmanager
except (ImportError, NameError):
pass
class WMCon... | 27.908537 | 84 | 0.613939 |
fec32cf87bfacb40d1410b932548f5179aeb1af3 | 12,598 | py | Python | EstadisticasFinales.py | Dmedina11/MigrateDB | cd860d1edeb63ba40f38c1f7e42a80630bd9e460 | [
"BSD-3-Clause"
] | null | null | null | EstadisticasFinales.py | Dmedina11/MigrateDB | cd860d1edeb63ba40f38c1f7e42a80630bd9e460 | [
"BSD-3-Clause"
] | null | null | null | EstadisticasFinales.py | Dmedina11/MigrateDB | cd860d1edeb63ba40f38c1f7e42a80630bd9e460 | [
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/python
# NewInsertTables,py, script que permite la insercion de datos a las tablas que presentan alguna relacion entre ellas
# en la base de datos, estas son usuarios, equipos, macs y usuariosequipos, comienza con el llenado de la tabla usuario
# para luego continuar con los equipos y las macs, en general ... | 46.14652 | 321 | 0.760914 |
671ef4ad4844c6e8d1fbb6d729d8bd1d792795fa | 1,318 | py | Python | dataset/dataset.py | enricomeloni/covid-tools | 6920b8cfa0eb89bdb7e0ba96ecc74831185c44a7 | [
"MIT"
] | 1 | 2020-10-06T16:03:01.000Z | 2020-10-06T16:03:01.000Z | dataset/dataset.py | enricomeloni/covid-tools | 6920b8cfa0eb89bdb7e0ba96ecc74831185c44a7 | [
"MIT"
] | 3 | 2022-02-13T20:21:56.000Z | 2022-02-27T10:19:23.000Z | dataset/dataset.py | sailab-code/learning-sidarthe | 6920b8cfa0eb89bdb7e0ba96ecc74831185c44a7 | [
"MIT"
] | null | null | null | import numpy as np
from dataset.config import get_region_params
class Dataset:
def __init__(self, dataset_params):
self.region = dataset_params["region"]
self.train_size = dataset_params["train_size"]
self.val_len = dataset_params["val_len"]
self.x, self.y = None, None
se... | 25.843137 | 77 | 0.628225 |
c467603ad0e59299792040f178b532dd9ba0a380 | 666 | py | Python | Django/CarService/manage.py | tobecrazy/RaspberryMaterial | d1bdb900881350b69f0a70ec97d19e8e048b00b1 | [
"Apache-2.0"
] | null | null | null | Django/CarService/manage.py | tobecrazy/RaspberryMaterial | d1bdb900881350b69f0a70ec97d19e8e048b00b1 | [
"Apache-2.0"
] | null | null | null | Django/CarService/manage.py | tobecrazy/RaspberryMaterial | d1bdb900881350b69f0a70ec97d19e8e048b00b1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'CarService.settings')
try:
from django.core.management import execute_from_command_line
except I... | 28.956522 | 74 | 0.68018 |
03501f3188d9af9ef763b2e0c1a117ac3d9a1a1c | 4,737 | py | Python | cunumeric/linalg/cholesky.py | bryevdv/cunumeric | 7965ceb96d3252371c22cf32d38ac91c4db77a38 | [
"Apache-2.0"
] | null | null | null | cunumeric/linalg/cholesky.py | bryevdv/cunumeric | 7965ceb96d3252371c22cf32d38ac91c4db77a38 | [
"Apache-2.0"
] | null | null | null | cunumeric/linalg/cholesky.py | bryevdv/cunumeric | 7965ceb96d3252371c22cf32d38ac91c4db77a38 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021-2022 NVIDIA Corporation
#
# 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 ... | 28.709091 | 77 | 0.6654 |
ae8ef24b7e587ed25742ed4ae0e99839098cf5ab | 99 | py | Python | tests/roots/test-linkcheck/conf.py | m-chaturvedi/sphinx | 46897c2acf1f2056dff479ec705e2899d86118c6 | [
"BSD-2-Clause"
] | 8 | 2021-01-29T23:28:16.000Z | 2021-06-04T07:12:32.000Z | tests/roots/test-linkcheck/conf.py | JoeyCluett/sphinx | ff5031c96e90027510ad2d0251972e12da46402c | [
"BSD-2-Clause"
] | 12 | 2019-01-09T15:43:57.000Z | 2020-01-21T10:46:30.000Z | tests/roots/test-linkcheck/conf.py | JoeyCluett/sphinx | ff5031c96e90027510ad2d0251972e12da46402c | [
"BSD-2-Clause"
] | 10 | 2019-02-04T11:49:35.000Z | 2020-03-21T13:32:20.000Z | master_doc = 'links'
source_suffix = '.txt'
exclude_patterns = ['_build']
linkcheck_anchors = True
| 19.8 | 29 | 0.747475 |
fc0a93e909edb4cd003c849e40a289a0c2e467d0 | 13,648 | py | Python | toExcel.py | nelliesnoodles/StatsClass | 8c9f650d177b4d4a25876bd0e542576c95da647d | [
"MIT"
] | null | null | null | toExcel.py | nelliesnoodles/StatsClass | 8c9f650d177b4d4a25876bd0e542576c95da647d | [
"MIT"
] | null | null | null | toExcel.py | nelliesnoodles/StatsClass | 8c9f650d177b4d4a25876bd0e542576c95da647d | [
"MIT"
] | null | null | null | from sys import exit
import textwrap
import xlsxwriter
import os
class ToExcel(object):
def __init__(self):
self.row_label = None
self.row_length = None
self.row_data = []
self.column_length = None
self.column_data = None
self.file_name = None
se... | 37.086957 | 148 | 0.472011 |
42894a0cedcceca4e0c5a8611aeb752d5dc32398 | 2,384 | py | Python | src/structurizr/view/sequence_number.py | xolynrac/examen_final_4c | dfa19b44fee6a17b7efc5630f1c8580aabc549e9 | [
"Apache-2.0"
] | 47 | 2020-04-26T20:00:03.000Z | 2022-02-19T14:32:04.000Z | src/structurizr/view/sequence_number.py | xolynrac/examen_final_4c | dfa19b44fee6a17b7efc5630f1c8580aabc549e9 | [
"Apache-2.0"
] | 84 | 2020-05-25T14:49:21.000Z | 2022-01-26T01:55:04.000Z | src/structurizr/view/sequence_number.py | xolynrac/examen_final_4c | dfa19b44fee6a17b7efc5630f1c8580aabc549e9 | [
"Apache-2.0"
] | 14 | 2020-07-01T11:03:25.000Z | 2022-01-11T06:37:31.000Z | # 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 33.577465 | 83 | 0.661913 |
6582baf2572cd2867e861e789b2af282c4b023d9 | 2,342 | py | Python | covermi/genename_bed.py | eawilson/CoverMi | 99d2608f272ce2182e2d57036532e21b3ccf2525 | [
"MIT"
] | null | null | null | covermi/genename_bed.py | eawilson/CoverMi | 99d2608f272ce2182e2d57036532e21b3ccf2525 | [
"MIT"
] | null | null | null | covermi/genename_bed.py | eawilson/CoverMi | 99d2608f272ce2182e2d57036532e21b3ccf2525 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pdb
import sys
import argparse
import os
import csv
from covermi import Panel, gff3, Gr, Entry
def genename_bed(panel, output=None):
"""
Args:
panel (str): Path of panel to be edited.
output (str): Path to write renamed bed file to. If not
provided... | 29.64557 | 98 | 0.555508 |
97e2628e921a9f5dfc4c098d06bf9d02d625aead | 11,849 | py | Python | lib/twisted/python/zipstream.py | Kagami/kisa | 2597f67e519b8d66fec2684ff5a7726436bb029b | [
"CC0-1.0"
] | 7 | 2015-04-28T13:26:11.000Z | 2020-02-09T17:01:04.000Z | lib/twisted/python/zipstream.py | Kagami/kisa | 2597f67e519b8d66fec2684ff5a7726436bb029b | [
"CC0-1.0"
] | null | null | null | lib/twisted/python/zipstream.py | Kagami/kisa | 2597f67e519b8d66fec2684ff5a7726436bb029b | [
"CC0-1.0"
] | 3 | 2015-03-10T20:56:17.000Z | 2021-08-21T02:44:24.000Z | # -*- test-case-name: twisted.python.test.test_zipstream -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
An incremental approach to unzipping files. This allows you to unzip a little
bit of a file at a time, which means you can report progress as a file unzips.
"""
import warnings
imp... | 30.53866 | 79 | 0.58199 |
15d6ec0b85c17ca5799ce98ebe7901daa49a5b7d | 2,619 | py | Python | prefect/aircraftlib/position.py | andersy005/brouillons-quotidien | 468ebcc3327f96a6eb3a9a26460790c4f34fdc85 | [
"MIT"
] | null | null | null | prefect/aircraftlib/position.py | andersy005/brouillons-quotidien | 468ebcc3327f96a6eb3a9a26460790c4f34fdc85 | [
"MIT"
] | null | null | null | prefect/aircraftlib/position.py | andersy005/brouillons-quotidien | 468ebcc3327f96a6eb3a9a26460790c4f34fdc85 | [
"MIT"
] | null | null | null | import math
from typing import Generator, Tuple
# Semi-axes of WGS-84 geoidal reference
WGS84_a = 6378137.0 # Major semiaxis [m]
WGS84_b = 6356752.3 # Minor semiaxis [m]
class Position:
def __init__(self, lat: float, long: float):
self.lat = lat
self.long = long
def validate(self) -> None:... | 29.426966 | 81 | 0.648339 |
b7a437f7c12af3e3f47395769ad89d7fd6c8bcd4 | 5,249 | py | Python | corankco/consensus.py | pierreandrieu/corankco | 769b18ef349de3a0305f878724f6e6ae41f9f38f | [
"MIT"
] | null | null | null | corankco/consensus.py | pierreandrieu/corankco | 769b18ef349de3a0305f878724f6e6ae41f9f38f | [
"MIT"
] | null | null | null | corankco/consensus.py | pierreandrieu/corankco | 769b18ef349de3a0305f878724f6e6ae41f9f38f | [
"MIT"
] | null | null | null | from typing import List, Set, Dict, Iterable
from corankco.kemeny_computation import KemenyComputingFactory
from corankco.dataset import Dataset
from corankco.scoringscheme import ScoringScheme
from enum import Enum, unique
@unique
class ConsensusFeature(Enum):
AssociatedDataset = "dataset:"
AssociatedScoring... | 40.068702 | 115 | 0.648695 |
fff2138c8baefebccd2fa486fbbc20c3dce7525e | 990 | py | Python | tests/test_indexing.py | awesome-archive/ipwb | 11b45da85696107871ea5f66b152336179604db7 | [
"MIT"
] | null | null | null | tests/test_indexing.py | awesome-archive/ipwb | 11b45da85696107871ea5f66b152336179604db7 | [
"MIT"
] | null | null | null | tests/test_indexing.py | awesome-archive/ipwb | 11b45da85696107871ea5f66b152336179604db7 | [
"MIT"
] | null | null | null | # Number of entries in CDXJ == number of response records in WARC
import pytest
import testUtil as ipwbTest
import os
from ipwb import indexer
@pytest.mark.ipwbIndexerRecordCount
def test_cdxj_warc_responseRecordCount():
newWARCPath = ipwbTest.createUniqueWARC()
# use ipwb indexer to push
cdxjList = ind... | 31.935484 | 67 | 0.740404 |
4f7cded1eac3b933b4994d3b29443c2f0204df6b | 5,944 | py | Python | nornir/core/__init__.py | ubaumann/nornir | dfa7b3afa615003df57cc269261df646b528ef26 | [
"Apache-2.0"
] | 63 | 2018-04-05T02:46:24.000Z | 2018-05-15T13:16:15.000Z | nornir/core/__init__.py | ubaumann/nornir | dfa7b3afa615003df57cc269261df646b528ef26 | [
"Apache-2.0"
] | 65 | 2016-12-17T11:55:43.000Z | 2018-03-28T09:41:11.000Z | nornir/core/__init__.py | ubaumann/nornir | dfa7b3afa615003df57cc269261df646b528ef26 | [
"Apache-2.0"
] | 7 | 2018-04-03T08:18:54.000Z | 2018-05-15T13:11:47.000Z | import logging
import logging.config
from typing import List, Optional, TYPE_CHECKING
from nornir.core.configuration import Config
from nornir.core.inventory import Inventory
from nornir.core.plugins.runners import RunnerPlugin
from nornir.core.processor import Processor, Processors
from nornir.core.state import Globa... | 34.16092 | 99 | 0.617429 |
08bed9df716bc65c6037c846c3e80a9c4afca3c5 | 691 | py | Python | activity 3/activity3.py | long2691/activities | f78041b4e0c02f1c6fea598d9dfc67796bc99009 | [
"MIT"
] | null | null | null | activity 3/activity3.py | long2691/activities | f78041b4e0c02f1c6fea598d9dfc67796bc99009 | [
"MIT"
] | null | null | null | activity 3/activity3.py | long2691/activities | f78041b4e0c02f1c6fea598d9dfc67796bc99009 | [
"MIT"
] | null | null | null |
#dictionary can contain multiple pair of information
dict1 = {"name" : "long", "age": ['27'], "hobbies": ["games","food","drinking"], "wakeuptimes": {"key": [8.00,6,30,7.00]}}
print(dict1["name"])
print(dict1["hobbies"])
print(dict1["wakeuptimes"]["key"][3])
#drews solution
drew = {
"name":"drew",
"age": "8... | 27.64 | 122 | 0.581766 |
eba4b1061de5ed006ce8584f038497e5c7d52624 | 1,057 | py | Python | ex4_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | ex4_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | ex4_sd3.py | jlaw8504/lp3thw | e3e5c559a0d851547acda6387eb5ff9034549e48 | [
"BSD-3-Clause"
] | null | null | null | # create variable cars to contain integer 100
cars = 100
# create variable space_in_a_car to contain float 4.0
space_in_a_car = 4.0
# create variable drivers to contain int 30
drivers = 30
# create variable passengers to contain int 90
passengers = 90
# subtract drivers from cars to set int variable cars_not_driven
car... | 37.75 | 64 | 0.783349 |
f73b51db43b0ca9bcac7c235f6d853779c88c6b8 | 885 | py | Python | resources/lib/common.py | torstehu/Transmission-XBMC | 10f319deb0d9e5839e62f86c8c6ed5a9175d26fc | [
"MIT"
] | 22 | 2015-02-04T19:58:02.000Z | 2021-07-29T05:25:08.000Z | resources/lib/common.py | torstehu/Transmission-XBMC | 10f319deb0d9e5839e62f86c8c6ed5a9175d26fc | [
"MIT"
] | 14 | 2015-01-07T00:08:28.000Z | 2019-10-24T00:27:48.000Z | resources/lib/common.py | torstehu/Transmission-XBMC | 10f319deb0d9e5839e62f86c8c6ed5a9175d26fc | [
"MIT"
] | 15 | 2015-02-26T15:01:04.000Z | 2020-12-02T09:14:44.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2013 Artem Glebov
import sys
import transmissionrpc
__settings__ = sys.modules[ "__main__" ].__settings__
def get_settings():
params = {
'address': __settings__.getSetting('rpc_host'),
'port': __settings__.getSetting('rpc_port'),
'user': __settings_... | 28.548387 | 79 | 0.670056 |
bb69a8f53c2f30b70b6b72603b32b2fcf11b6e32 | 7,992 | py | Python | symphony/bdk/gen/agent_api/attachments_api.py | symphony-elias/symphony-bdk-python | 0d1cd94a9982e3687ea52c49acdb5f942ecd9bec | [
"Apache-2.0"
] | 17 | 2018-09-06T09:58:18.000Z | 2021-07-13T12:54:20.000Z | symphony/bdk/gen/agent_api/attachments_api.py | symphony-elias/symphony-bdk-python | 0d1cd94a9982e3687ea52c49acdb5f942ecd9bec | [
"Apache-2.0"
] | 59 | 2018-11-21T15:17:57.000Z | 2021-08-03T10:00:43.000Z | symphony/bdk/gen/agent_api/attachments_api.py | symphony-elias/symphony-bdk-python | 0d1cd94a9982e3687ea52c49acdb5f942ecd9bec | [
"Apache-2.0"
] | 37 | 2018-09-01T03:07:48.000Z | 2021-07-06T10:21:50.000Z | """
Agent API
This document refers to Symphony API calls to send and receive messages and content. They need the on-premise Agent installed to perform decryption/encryption of content. - sessionToken and keyManagerToken can be obtained by calling the authenticationAPI on the symphony back end and the key mana... | 40.984615 | 1,241 | 0.52515 |
2172fc3b89cc2f9d9e21223b5637b6c8d17503b8 | 3,833 | py | Python | vnpy/trader/constant.py | MelLu/vnpy | ed3320d7c580fe3961b7b40bf71181b503615218 | [
"MIT"
] | 1 | 2021-11-24T09:19:57.000Z | 2021-11-24T09:19:57.000Z | vnpy/trader/constant.py | MelLu/vnpy | ed3320d7c580fe3961b7b40bf71181b503615218 | [
"MIT"
] | null | null | null | vnpy/trader/constant.py | MelLu/vnpy | ed3320d7c580fe3961b7b40bf71181b503615218 | [
"MIT"
] | null | null | null | """
General constant string used in VN Trader.
"""
from enum import Enum
class Color(Enum):
""" Kline color """
RED = 'Red'
BLUE = 'Blue'
EQUAL = 'Equal'
class Direction(Enum):
"""
Direction of order/trade/position.
"""
LONG = "多"
SHORT = "空"
NET = "净"
class Offset(Enum):
... | 21.533708 | 68 | 0.565093 |
bcf8e14c75df8edf85bd60b995c4d246fb05c1ff | 2,968 | py | Python | job_spider.py | lemae/job-spider | b09c0e1de3f4ac696c8754c8008ec5fb0a9df554 | [
"MIT"
] | null | null | null | job_spider.py | lemae/job-spider | b09c0e1de3f4ac696c8754c8008ec5fb0a9df554 | [
"MIT"
] | null | null | null | job_spider.py | lemae/job-spider | b09c0e1de3f4ac696c8754c8008ec5fb0a9df554 | [
"MIT"
] | null | null | null | import jobui
class JobSpider:
def __init__(self):
print("\n欢迎使用JobSpider，所有职位信息来自职友集！")
def __del__(self):
pass
def run(self): # 实现主要逻辑
while True:
choice = self.get_choice()
if choice == 'query':
# 查询职位信息
se... | 32.977778 | 116 | 0.446092 |
89530a24581ecf0424bda167c582de8587ed90f1 | 2,089 | py | Python | GUI/dist/Fun/fun1.py | 1259975740/Word2Paper | 2886d9a6ef7a3eb8b5ba99e4a8d69983d716b2e9 | [
"BSD-3-Clause"
] | 8 | 2020-06-21T00:41:25.000Z | 2022-03-13T14:22:23.000Z | GUI/dist/Fun/fun1.py | 1259975740/Word2Paper | 2886d9a6ef7a3eb8b5ba99e4a8d69983d716b2e9 | [
"BSD-3-Clause"
] | 1 | 2022-03-13T14:22:12.000Z | 2022-03-13T14:22:12.000Z | GUI/dist/Fun/fun1.py | 1259975740/Word2Paper | 2886d9a6ef7a3eb8b5ba99e4a8d69983d716b2e9 | [
"BSD-3-Clause"
] | 1 | 2022-03-10T08:00:08.000Z | 2022-03-10T08:00:08.000Z | # coding: utf-8
from PIL import Image, ImageFont
import numpy as np
from handright import Template, handwrite
from multiprocessing import Pool
import time
from Fun.fun2 import *
from tkinter import messagebox as mBox
def trans(input_path,output_path,font_path,line_spacing,font_size,
fill,left_margin,top_marg... | 36.017241 | 95 | 0.638583 |
af6d6809ba63d0246b06cf3e4afea457a7f03b8a | 2,303 | py | Python | sos_trades_core/tools/controllers/base_controller.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | 8 | 2022-01-10T14:44:28.000Z | 2022-03-31T08:57:14.000Z | sos_trades_core/tools/controllers/base_controller.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | null | null | null | sos_trades_core/tools/controllers/base_controller.py | os-climate/sostrades-core | bcaa9b5e393ffbd0963e75a9315b27caf8b0abd9 | [
"Apache-2.0"
] | 1 | 2022-02-21T14:51:45.000Z | 2022-02-21T14:51:45.000Z | '''
Copyright 2022 Airbus SAS
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
dis... | 30.706667 | 119 | 0.656535 |
eb9059f34c361c348e38923ec6d7cab2e4087ad1 | 4,454 | py | Python | maskrcnn_benchmark/engine/inference.py | FluteXu/ms-project | 108b1346a32dd5aea2078fc20852029342e2365f | [
"MIT"
] | null | null | null | maskrcnn_benchmark/engine/inference.py | FluteXu/ms-project | 108b1346a32dd5aea2078fc20852029342e2365f | [
"MIT"
] | null | null | null | maskrcnn_benchmark/engine/inference.py | FluteXu/ms-project | 108b1346a32dd5aea2078fc20852029342e2365f | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import time
import os
import torch
from tqdm import tqdm
from maskrcnn_benchmark.data.datasets.evaluation import evaluate
from ..utils.comm import is_main_process, get_world_size
from ..utils.comm import all_gather
from ..utils.com... | 33.742424 | 96 | 0.638752 |
a1d2f49b72937bbb87ac8848de57c6f75c322650 | 1,835 | py | Python | ensemble/tools/screen.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | ensemble/tools/screen.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | ensemble/tools/screen.py | licit-lab/ensemble | 7a78ef0d69610d4fcfc5e008f931ade15e35acbf | [
"Linux-OpenIB"
] | null | null | null | """
Module to log on screen
====================================
"""
# ============================================================================
# STANDARD IMPORTS
# ============================================================================
import click
from functools import partial
from click.termui import s... | 29.126984 | 78 | 0.523706 |
2e802dad3f72c7ae0443739912ceceff20a03507 | 22,418 | py | Python | bloscpack/file_io.py | sachk/bloscpack | c37b02eee0c66f7cfa11a2d0f3e1beb6d43064df | [
"MIT"
] | 87 | 2015-01-30T21:16:25.000Z | 2022-03-02T18:52:32.000Z | bloscpack/file_io.py | sachk/bloscpack | c37b02eee0c66f7cfa11a2d0f3e1beb6d43064df | [
"MIT"
] | 91 | 2015-02-22T17:54:17.000Z | 2022-01-27T14:23:15.000Z | bloscpack/file_io.py | sachk/bloscpack | c37b02eee0c66f7cfa11a2d0f3e1beb6d43064df | [
"MIT"
] | 20 | 2015-02-21T15:07:39.000Z | 2022-03-02T18:52:34.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim :set ft=py:
from __future__ import division
import itertools
import os.path as path
import blosc
import six
from six.moves import xrange
from deprecated import deprecated
from .args import (calculate_nchunks,
_check_metadata_arguments,
... | 32.302594 | 101 | 0.629583 |
f9a63c62d4d2f648d1bcf11b278a8685089ee853 | 3,175 | py | Python | tests/api_test.py | stivenramireza/images-downloader | dd6141c8815e692fa0aa61d9c84eda51e393b42f | [
"MIT"
] | null | null | null | tests/api_test.py | stivenramireza/images-downloader | dd6141c8815e692fa0aa61d9c84eda51e393b42f | [
"MIT"
] | null | null | null | tests/api_test.py | stivenramireza/images-downloader | dd6141c8815e692fa0aa61d9c84eda51e393b42f | [
"MIT"
] | null | null | null | from fastapi.testclient import TestClient
from src.secrets import BASIC_AUTH_HEADER
from src.api import app
client = TestClient(app)
images = [
{
"image_id": 100,
"resource": "https://pikwizard.com/photos/71c820cabadce0681a690d1f8c037732-m.jpg"
},
{
"image_id": 100,
"res... | 27.136752 | 89 | 0.528189 |
b5cb7c3acf9f5e96512be199d8bd3d2c81485f85 | 3,591 | py | Python | src/main/nspawn/support/header.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | 15 | 2019-10-10T17:35:48.000Z | 2022-01-29T10:41:01.000Z | src/main/nspawn/support/header.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | null | null | null | src/main/nspawn/support/header.py | Andrei-Pozolotin/nspawn | 9dd3926f1d1a3a0648f6ec14199cbf4069af1c98 | [
"Apache-2.0"
] | 2 | 2019-10-10T17:36:43.000Z | 2020-06-20T15:28:33.000Z | """
HTTP transport headers
"""
import os
import enum
from typing import Mapping
from datetime import datetime, timezone
from nspawn.support.parser import parse_unquote
from nspawn.wrapper.sudo import SUDO
from builtins import dict
from urllib.parse import urlparse
@enum.unique
class Header(enum.Enum):
"http con... | 29.925 | 102 | 0.703982 |
3b7bd929fde82bc58a7f96b11eb610f748369cb8 | 16,078 | py | Python | log_mito/model_226.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito/model_226.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito/model_226.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | # exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', 'BaxA'])
M... | 87.857923 | 710 | 0.803458 |
f719907ff48a40bf779cf6020839f0d298c921ad | 7,308 | py | Python | wavedata/tools/core/voxel_grid_2d.py | amuamushu/wavedata | 1745c646ff3a76b38a81c439a0edd900c986c9f7 | [
"MIT"
] | null | null | null | wavedata/tools/core/voxel_grid_2d.py | amuamushu/wavedata | 1745c646ff3a76b38a81c439a0edd900c986c9f7 | [
"MIT"
] | null | null | null | wavedata/tools/core/voxel_grid_2d.py | amuamushu/wavedata | 1745c646ff3a76b38a81c439a0edd900c986c9f7 | [
"MIT"
] | null | null | null | import numpy as np
from wavedata.wavedata.tools.core import geometry_utils
class VoxelGrid2D(object):
"""
Voxel grids represent occupancy info. The voxelize_2d method projects a point cloud
onto a plane, while saving height and point density information for each voxel.
"""
# Class Constants
... | 39.080214 | 87 | 0.601122 |
cb3a5ebd7d62487cd81270c7a6567b8511e868b5 | 1,122 | py | Python | tests/test_helpers.py | DevL/PyBy | de2c41c5b6e26d9e196910d31b39e0f79dbea239 | [
"MIT"
] | null | null | null | tests/test_helpers.py | DevL/PyBy | de2c41c5b6e26d9e196910d31b39e0f79dbea239 | [
"MIT"
] | null | null | null | tests/test_helpers.py | DevL/PyBy | de2c41c5b6e26d9e196910d31b39e0f79dbea239 | [
"MIT"
] | null | null | null | from pyby import EnumerableDict, EnumerableList, Enumerator
def assert_enumerable_dict(actual, expected):
__tracebackhide__ = True
assert isinstance(actual, EnumerableDict)
assert actual == expected
def assert_enumerable_list(actual, expected):
__tracebackhide__ = True
assert isinstance(actual, ... | 20.4 | 65 | 0.599822 |
cdff2a1db155ccfc0fbe359f812455ce12ecc6af | 1,330 | py | Python | algotrading/data/features/wave_features.py | shadowCow/algoTrading | 14f86cabd2f0a7e6321103de68d994e4ab93acf6 | [
"MIT"
] | null | null | null | algotrading/data/features/wave_features.py | shadowCow/algoTrading | 14f86cabd2f0a7e6321103de68d994e4ab93acf6 | [
"MIT"
] | 1 | 2018-06-11T18:49:40.000Z | 2018-06-11T18:49:40.000Z | algotrading/data/features/wave_features.py | shadowCow/algoTrading | 14f86cabd2f0a7e6321103de68d994e4ab93acf6 | [
"MIT"
] | null | null | null |
from algotrading.data.features.feature_helpers import AbstractFeature
from algotrading.data.price_data_schema import price_data_schema as schema
class PivotHigh(AbstractFeature):
def __init__(self, left_length, right_length):
self.left_length = left_length
self.right_length = right_length
super().__ini... | 31.666667 | 74 | 0.722556 |
fba786f7ce2cf96240695629c1651656cc43e823 | 3,494 | py | Python | triangulate.py | jmplonka/Importer3D | aeac51e7d09204bda76370d453fe3002029179fd | [
"RSA-MD"
] | 22 | 2017-12-05T00:24:58.000Z | 2022-03-24T00:01:27.000Z | triangulate.py | jmplonka/Importer3D | aeac51e7d09204bda76370d453fe3002029179fd | [
"RSA-MD"
] | 8 | 2019-05-03T04:38:49.000Z | 2022-03-29T11:34:21.000Z | triangulate.py | jmplonka/Importer3D | aeac51e7d09204bda76370d453fe3002029179fd | [
"RSA-MD"
] | 8 | 2019-03-13T06:26:18.000Z | 2022-03-24T00:27:45.000Z | from itertools import chain
from math import fabs
import numpy as np
# Ported from https://github.com/bjorkegeek/polytri
def loopedPairs(iterable):
'''
list(loopedPairs([1,2,3])) => [(1, 2), (2, 3), (3, 1)]
'''
iterable = iter(iterable)
first = last = next(iterable)
for x in iterable:
yiel... | 28.639344 | 85 | 0.585575 |
af6219294419ccec6c5524ffc66d07c1d07f3988 | 3,983 | py | Python | 01_profiling/cpu_profiling/julia1.py | siddheshmhatre/high_performance_python | 4c308dddb400fcd4c4ab7c4d59dc56eb5dd58d1d | [
"RSA-MD"
] | 698 | 2015-01-06T14:10:26.000Z | 2022-03-29T03:05:09.000Z | 01_profiling/cpu_profiling/julia1.py | siddheshmhatre/high_performance_python | 4c308dddb400fcd4c4ab7c4d59dc56eb5dd58d1d | [
"RSA-MD"
] | 6 | 2015-01-12T18:03:24.000Z | 2021-06-02T13:05:20.000Z | 01_profiling/cpu_profiling/julia1.py | siddheshmhatre/high_performance_python | 4c308dddb400fcd4c4ab7c4d59dc56eb5dd58d1d | [
"RSA-MD"
] | 260 | 2015-01-16T13:58:57.000Z | 2022-03-28T16:49:34.000Z | """Julia set generator with optional Pillow-based image drawing"""
import time
from PIL import Image
import array
# area of complex space to investigate
x1, x2, y1, y2 = -1.8, 1.8, -1.8, 1.8
c_real, c_imag = -0.62772, -.42193
def show_greyscale(output_raw, width, height, max_iterations):
"""Convert list to array... | 35.5625 | 109 | 0.65177 |
2a7c306e99581eaf8a43e0d00fc71e2d7cd093d3 | 9,803 | py | Python | proj07/proj07.py | hanumsan20/vsa-project | 0d4302e34daf1d97b9348522708b03491c74997e | [
"MIT"
] | null | null | null | proj07/proj07.py | hanumsan20/vsa-project | 0d4302e34daf1d97b9348522708b03491c74997e | [
"MIT"
] | null | null | null | proj07/proj07.py | hanumsan20/vsa-project | 0d4302e34daf1d97b9348522708b03491c74997e | [
"MIT"
] | null | null | null | # Name: Santosh and Kyle
# Date:
# proj07: Word Game
import random
import string
VOWELS = 'aeiou'
CONSONANTS = 'bcdfghjklmnpqrstvwxyz'
HAND_SIZE = 7
SCRABBLE_LETTER_VALUES = {
'a': 1, 'b': 3, 'c': 3, 'd': 2, 'e': 1, 'f': 4, 'g': 2, 'h': 4, 'i': 1, 'j': 8, 'k':
5, 'l': 1, 'm': 3, 'n': 1, 'o': 1, 'p': 3, ... | 27.306407 | 151 | 0.590738 |
60270ad51a331c2755c28ae53e4f65239a751852 | 9,375 | py | Python | BigGAN-PyTorch/NN_query_testCode_forBiggan.py | chenqiguo/GAN_replication | 18e71914164f0d735354afb0134ce00570080ecd | [
"OLDAP-2.3"
] | 2 | 2021-11-11T00:18:28.000Z | 2021-12-28T01:10:25.000Z | BigGAN-PyTorch/NN_query_testCode_forBiggan.py | chenqiguo/GAN_replication | 18e71914164f0d735354afb0134ce00570080ecd | [
"OLDAP-2.3"
] | null | null | null | BigGAN-PyTorch/NN_query_testCode_forBiggan.py | chenqiguo/GAN_replication | 18e71914164f0d735354afb0134ce00570080ecd | [
"OLDAP-2.3"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 3 00:53:21 2020
@author: guo.1648
"""
# This code is for biggan.
# my testing code:
# Try the NN with the generated images as query, the original dataset as training set,
# to see if the NN can find original images that we found similar to the ge... | 40.409483 | 268 | 0.737707 |
6fb56acea27a37042c5d2563a92252d54b94b8bc | 1,617 | py | Python | Python/udacity_data_structures_and_algorithms/linked_list.py | J0shu4B0y/Practice | ea6af3773520f12afcf72f25952a80614d0c13ef | [
"MIT"
] | 1 | 2021-07-18T08:40:05.000Z | 2021-07-18T08:40:05.000Z | Python/udacity_data_structures_and_algorithms/linked_list.py | J0shu4B0y/Practice | ea6af3773520f12afcf72f25952a80614d0c13ef | [
"MIT"
] | 3 | 2020-02-21T13:43:44.000Z | 2020-02-21T13:54:57.000Z | Python/udacity_data_structures_and_algorithms/linked_list.py | J0shu4B0y/Practice-Python | ea6af3773520f12afcf72f25952a80614d0c13ef | [
"MIT"
] | 2 | 2019-07-19T10:09:08.000Z | 2020-09-20T08:07:36.000Z | """
Add a couple methods to our LinkedList class,
and use that to implement a Stack.
You have 4 functions below to fill in:
insert_first, delete_first, push, and pop.
Think about this while you're implementing:
why is it easier to add an "insert_first"
function than just use "append"?
"""
class Element:
def __ini... | 21.56 | 45 | 0.63389 |
de0c10d94790b7a693185f261c42696f2d2e94a0 | 1,533 | py | Python | tests/integration_test/conftest.py | cooomma/mayday-ticketing-bot | 77377c19d9741e30416951e5d2364bbb66d762ad | [
"MIT"
] | 4 | 2019-08-17T05:21:37.000Z | 2019-08-30T03:24:32.000Z | tests/integration_test/conftest.py | cooomma/mayday-ticketing-bot | 77377c19d9741e30416951e5d2364bbb66d762ad | [
"MIT"
] | 1 | 2021-04-30T20:45:10.000Z | 2021-04-30T20:45:10.000Z | tests/integration_test/conftest.py | cooomma/mayday-ticketing-bot | 77377c19d9741e30416951e5d2364bbb66d762ad | [
"MIT"
] | 3 | 2019-03-03T16:40:25.000Z | 2019-08-17T08:01:19.000Z | import pytest
import time
from mayday import engine, metadata
from mayday.db.tables.tickets import TicketsModel
from mayday.db.tables.users import UsersModel
from mayday.db.tables.events import EventsModel
TICKET_1 = dict(
category=1,
date=505,
price_id=2,
quantity=1,
section='C1',
row='',
... | 22.880597 | 65 | 0.68167 |
5d6630c2ebda6395b33169fa22e13941e6856832 | 419 | py | Python | ls10/demo2.py | cklwblove/python-100-days-source-code | 5d66c7708047f0d7bac0ce05d21834bbbfa6ccf1 | [
"MIT"
] | null | null | null | ls10/demo2.py | cklwblove/python-100-days-source-code | 5d66c7708047f0d7bac0ce05d21834bbbfa6ccf1 | [
"MIT"
] | null | null | null | ls10/demo2.py | cklwblove/python-100-days-source-code | 5d66c7708047f0d7bac0ce05d21834bbbfa6ccf1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
读取文件
通过 with 关键字指定文件对象的上下文环境并在离开上下文环境时自动释放文件资源
"""
def main():
try:
with open('./致橡树.txt', 'r', encoding='utf-8') as f:
print(f.read())
except FileNotFoundError:
print('无法打开指定的文件！')
except LookupError:
print('指定了未知的编码！')
ex... | 19.045455 | 60 | 0.548926 |
25ac0357c3463eebefe0e39a61947f6ea9570830 | 2,561 | py | Python | core_scripts/data_io/customize_sampler.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | 150 | 2020-06-04T00:02:50.000Z | 2022-03-30T03:32:56.000Z | core_scripts/data_io/customize_sampler.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | 15 | 2020-06-17T04:08:33.000Z | 2022-03-01T03:42:25.000Z | core_scripts/data_io/customize_sampler.py | Nijta/project-NN-Pytorch-scripts | 06a50ab072613fb60b8b8e1cea85c4aa8e75549d | [
"BSD-3-Clause"
] | 23 | 2020-06-16T03:28:35.000Z | 2022-03-15T03:46:13.000Z | #!/usr/bin/env python
"""
customized sampler
1. Block shuffler based on sequence length
Like BinnedLengthSampler in https://github.com/fatchord/WaveRNN
e.g., data length [1, 2, 3, 4, 5, 6] -> [3,1,2, 6,5,4] if block size =3
"""
from __future__ import absolute_import
import os
import sys
import numpy as np
imp... | 31.231707 | 75 | 0.631394 |
47217c8ee26ec38c16a804003bfc80f183610788 | 6,631 | py | Python | .vscode/extensions/ms-python.python-2020.7.96456/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_additional_thread_info_regular.py | jaeyholic/portfolio-v2 | f9cfdd250e0fbde9e91e36d46826700a7c08df62 | [
"MIT"
] | null | null | null | .vscode/extensions/ms-python.python-2020.7.96456/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_additional_thread_info_regular.py | jaeyholic/portfolio-v2 | f9cfdd250e0fbde9e91e36d46826700a7c08df62 | [
"MIT"
] | 2 | 2021-03-11T04:07:09.000Z | 2022-02-27T09:28:21.000Z | .vscode/extensions/ms-python.python-2020.7.96456/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_additional_thread_info_regular.py | Andersonlima1/allflix0 | 9403c0a2995bf9930daa795b12aafc527fcf895b | [
"MIT"
] | null | null | null | import sys
from _pydevd_bundle.pydevd_constants import (STATE_RUN, PYTHON_SUSPEND, IS_JYTHON,
USE_CUSTOM_SYS_CURRENT_FRAMES, USE_CUSTOM_SYS_CURRENT_FRAMES_MAP, SUPPORT_GEVENT, ForkSafeLock)
from _pydev_bundle import pydev_log
# IFDEF CYTHON
# pydev_log.debug("Using Cython speedups")
# ELSE
from _pydevd_bundl... | 38.552326 | 121 | 0.613331 |
d32311d272e8fde636c82c3e292450672820125d | 443 | py | Python | management/pycom_functions/data_formatting/format_data_raw_handle_data.py | AaltoIIC/OSEMA | 38740e3dcfeb72a6d87e25190e6a73f6c60b199b | [
"MIT"
] | 2 | 2021-04-03T13:19:32.000Z | 2022-01-03T00:38:55.000Z | management/pycom_functions/data_formatting/format_data_raw_handle_data.py | AaltoIIC/OSEMA | 38740e3dcfeb72a6d87e25190e6a73f6c60b199b | [
"MIT"
] | null | null | null | management/pycom_functions/data_formatting/format_data_raw_handle_data.py | AaltoIIC/OSEMA | 38740e3dcfeb72a6d87e25190e6a73f6c60b199b | [
"MIT"
] | null | null | null | def format_data(header_ts, data):
data_string = "Begin:{}\n".format(convert_to_epoch(header_ts))
data_string += "Variables:{"
for variable in VARIABLE_NAMES:
data_string += str(variable) + ", "
data_string += "time }\n"
data_string += "Data:"
for value_pair in data:
ts_packed = u... | 36.916667 | 66 | 0.650113 |
23da0d2a60f007eb603460e95c219a430f70315d | 1,054 | py | Python | blog/migrations/0001_initial.py | GhasemMatoo/Mysite_Restaurants | f44e0b0374016850cc47f212db0d5693d6de2ee6 | [
"MIT"
] | null | null | null | blog/migrations/0001_initial.py | GhasemMatoo/Mysite_Restaurants | f44e0b0374016850cc47f212db0d5693d6de2ee6 | [
"MIT"
] | null | null | null | blog/migrations/0001_initial.py | GhasemMatoo/Mysite_Restaurants | f44e0b0374016850cc47f212db0d5693d6de2ee6 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-10 14:32
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='post',
fields=[
('id', models.BigAutoField(... | 37.642857 | 117 | 0.611954 |
14fc4d845b9646b8347cc29cb5fa7083ae3d72d0 | 1,865 | py | Python | tests/cases/lexicon/tests.py | murphyke/avocado | 62824bb2673d4cac81a15fee45fad60a8fe7622b | [
"BSD-2-Clause"
] | null | null | null | tests/cases/lexicon/tests.py | murphyke/avocado | 62824bb2673d4cac81a15fee45fad60a8fe7622b | [
"BSD-2-Clause"
] | null | null | null | tests/cases/lexicon/tests.py | murphyke/avocado | 62824bb2673d4cac81a15fee45fad60a8fe7622b | [
"BSD-2-Clause"
] | null | null | null | from django.test import TestCase
from avocado.models import DataField, DataConcept, DataConceptField, DataView
from ...models import Month, Date
class LexiconTestCase(TestCase):
fixtures = ['month_data.json']
def test_datafield(self):
f = DataField(app_name='tests', model_name='month', field_name='id... | 43.372093 | 186 | 0.602681 |
358d24347a18da371839ee0bb67cb74a8c77f520 | 629 | py | Python | application/web/errors.py | satan1a/poopak | 9862f09edc22c030db520e317020b54a36e070ac | [
"curl"
] | 91 | 2019-01-17T13:35:49.000Z | 2022-03-30T21:16:37.000Z | application/web/errors.py | satan1a/poopak | 9862f09edc22c030db520e317020b54a36e070ac | [
"curl"
] | 13 | 2019-01-13T14:35:51.000Z | 2021-04-26T05:13:42.000Z | application/web/errors.py | satan1a/poopak | 9862f09edc22c030db520e317020b54a36e070ac | [
"curl"
] | 33 | 2019-01-17T13:37:22.000Z | 2022-03-25T09:35:54.000Z | from flask_wtf.csrf import CSRFError
from . import app
from flask import render_template
from .search.forms import SearchForm
@app.errorhandler(CSRFError)
def handle_csrf_error(e):
search_form = SearchForm()
return render_template('error.html', title="Session expired", code="401", description="Form session ex... | 34.944444 | 117 | 0.705882 |
2639f9bae84f1d2e2becc6da00c8ff4d62813094 | 6,565 | py | Python | pykusto/_src/item_fetcher.py | Azure/pykusto | 87aec7fc750a95217368299339757c1208867c8f | [
"MIT"
] | 22 | 2019-07-30T11:43:12.000Z | 2021-12-27T23:51:40.000Z | pykusto/_src/item_fetcher.py | Azure/pykusto | 87aec7fc750a95217368299339757c1208867c8f | [
"MIT"
] | 96 | 2019-07-30T11:55:40.000Z | 2021-11-08T09:06:53.000Z | pykusto/_src/item_fetcher.py | Azure/pykusto | 87aec7fc750a95217368299339757c1208867c8f | [
"MIT"
] | 4 | 2020-12-27T11:29:28.000Z | 2022-01-07T05:42:36.000Z | from abc import ABCMeta, abstractmethod
from concurrent.futures import Future, ThreadPoolExecutor, TimeoutError
from itertools import chain
from threading import Lock
from typing import Union, Dict, Any, Iterable, Callable, Generator, Optional
from .logger import _logger
# Using a thread pool even though we only need... | 41.289308 | 178 | 0.659711 |
b58c5d92f411dd5c62ff56879b5db57a9dd821d6 | 1,682 | py | Python | foxylib/tools/collections/traversile/tests/test_traversile_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | null | null | null | foxylib/tools/collections/traversile/tests/test_traversile_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | 3 | 2019-12-12T05:17:44.000Z | 2022-03-11T23:40:50.000Z | foxylib/tools/collections/traversile/tests/test_traversile_tool.py | foxytrixy-com/foxylib | 94b8c5b9f8b12423393c68f7d9f910258840ed18 | [
"BSD-3-Clause"
] | 2 | 2019-10-16T17:39:34.000Z | 2020-02-10T06:32:08.000Z | import logging
from unittest import TestCase
from foxylib.tools.collections.traversile.traversile_tool import TraversileTool
from foxylib.tools.log.foxylib_logger import FoxylibLogger
class TestDictTraverseTool(TestCase):
@classmethod
def setUpClass(cls):
FoxylibLogger.attach_stderr2loggers(logging.D... | 33.64 | 79 | 0.563615 |
94128a8a7f2c25bc073ee6f9077152b37db340fa | 848 | py | Python | tests/060_server/063_search.py | sveetch/video-registry | fa0f0415f7a259500f803c1b4681bb9f2df61aa5 | [
"MIT"
] | null | null | null | tests/060_server/063_search.py | sveetch/video-registry | fa0f0415f7a259500f803c1b4681bb9f2df61aa5 | [
"MIT"
] | null | null | null | tests/060_server/063_search.py | sveetch/video-registry | fa0f0415f7a259500f803c1b4681bb9f2df61aa5 | [
"MIT"
] | null | null | null | import pytest
import cherrypy
from cherrypy.test import helper
from video_registry.serve import RegistryApplication, RegistryServer, Settings
@pytest.mark.usefixtures("server_settings_class")
class SearchViewTest(helper.CPWebCase):
helper.CPWebCase.interactive = False
@staticmethod
def setup_server():
... | 27.354839 | 78 | 0.675708 |
b8e7c1c1a397d0d0862c18c9ba82c9c9cfd925a5 | 15,112 | py | Python | src/python/grapl-model-plugin-deployer/grapl_model_plugin_deployer.py | ebcarty/grapl | ae3e8c724bb21b9441b7dedeecb21858ca5d37e5 | [
"Apache-2.0"
] | null | null | null | src/python/grapl-model-plugin-deployer/grapl_model_plugin_deployer.py | ebcarty/grapl | ae3e8c724bb21b9441b7dedeecb21858ca5d37e5 | [
"Apache-2.0"
] | null | null | null | src/python/grapl-model-plugin-deployer/grapl_model_plugin_deployer.py | ebcarty/grapl | ae3e8c724bb21b9441b7dedeecb21858ca5d37e5 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import base64
import concurrent.futures
import inspect
import json
import os
import sys
import traceback
from http import HTTPStatus
from pathlib import Path
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Mapping,
Optional,
Type,
Ty... | 31.549061 | 130 | 0.656697 |
21f22b0dd8f984946504f51fc8cde0ceee8efc3f | 4,597 | py | Python | tools/visualize_detection_results.py | Singingkettle/SAF-FCOS | 5d00b83d659552940025923460d02bb2db7d29e8 | [
"BSD-2-Clause"
] | 10 | 2021-08-31T01:39:40.000Z | 2022-03-27T13:13:14.000Z | tools/visualize_detection_results.py | Singingkettle/SAF-FCOS | 5d00b83d659552940025923460d02bb2db7d29e8 | [
"BSD-2-Clause"
] | 1 | 2021-10-10T05:36:35.000Z | 2021-12-11T05:56:26.000Z | tools/visualize_detection_results.py | Singingkettle/SAF-FCOS | 5d00b83d659552940025923460d02bb2db7d29e8 | [
"BSD-2-Clause"
] | 3 | 2021-09-05T09:14:35.000Z | 2021-10-21T03:15:59.000Z | import json
import os
import sys
from collections import defaultdict
from concurrent import futures
import cv2
import matplotlib
import numpy as np
# Use a non-interactive backend
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# Print iterations progress (thanks StackOverflow)
def print_progress(iteration, ... | 35.914063 | 155 | 0.607353 |
9159fa06f76ee1d6c89f064691c245fb23eefab9 | 14,577 | py | Python | src/infi/instruct/buffer/macros.py | jasonjorge/infi.asi | 78a4c34a421102f99b959a659cf7303804627d9b | [
"BSD-3-Clause"
] | 2 | 2015-01-12T21:16:06.000Z | 2019-12-12T05:59:56.000Z | src/infi/instruct/buffer/macros.py | jasonjorge/infi.asi | 78a4c34a421102f99b959a659cf7303804627d9b | [
"BSD-3-Clause"
] | 4 | 2015-02-24T09:18:00.000Z | 2021-06-16T12:55:19.000Z | src/infi/instruct/buffer/macros.py | jasonjorge/infi.asi | 78a4c34a421102f99b959a659cf7303804627d9b | [
"BSD-3-Clause"
] | 4 | 2015-01-07T12:37:54.000Z | 2018-02-08T15:07:17.000Z | from functools import partial
from infi.instruct.utils.kwargs import keep_kwargs_partial
from infi.instruct.utils.safe_repr import safe_repr
from .reference import (Reference, ContextGetAttrReference, FuncCallReference, LengthFuncCallReference,
TotalSizeReference, AfterFieldReference, FieldOrAt... | 40.831933 | 137 | 0.581052 |
777447038d579d87bd14473a68f763e22350b126 | 4,095 | py | Python | tests/miners/test_batch_hard_miner.py | kvzhao/pytorch-metric-learning | 9c8a94bd1a906317d5834f26d8a94e59d578b825 | [
"MIT"
] | 2 | 2020-08-11T03:42:15.000Z | 2022-01-11T07:25:30.000Z | tests/miners/test_batch_hard_miner.py | FadouaKhm/pytorch-metric-learning | 9eb792bcfc1616b599e6ee457514e3cb3a7235dd | [
"MIT"
] | null | null | null | tests/miners/test_batch_hard_miner.py | FadouaKhm/pytorch-metric-learning | 9eb792bcfc1616b599e6ee457514e3cb3a7235dd | [
"MIT"
] | 1 | 2021-03-15T04:24:52.000Z | 2021-03-15T04:24:52.000Z | import unittest
import torch
from pytorch_metric_learning.miners import BatchHardMiner
from pytorch_metric_learning.utils import common_functions as c_f
import numpy as np
class TestBatchHardMiner(unittest.TestCase):
@classmethod
def setUpClass(self):
self.dist_miner = BatchHardMiner(use_sim... | 58.5 | 142 | 0.685714 |
38dfe9996c11710628270e6afabc425d009abf2e | 6,532 | py | Python | no-intro.py | RetroArcher/dats | 9e7d715e90f92de21709da18253a9941eb21dc8b | [
"MIT"
] | 2 | 2021-08-24T13:48:32.000Z | 2021-10-19T19:56:51.000Z | no-intro.py | RetroArcher/dats | 9e7d715e90f92de21709da18253a9941eb21dc8b | [
"MIT"
] | 11 | 2021-08-21T15:58:16.000Z | 2022-03-03T23:48:36.000Z | no-intro.py | RetroArcher/dats | 9e7d715e90f92de21709da18253a9941eb21dc8b | [
"MIT"
] | 3 | 2021-11-01T20:06:12.000Z | 2022-02-20T18:54:04.000Z | from PIL import Image
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie1976
from colormath.color_objects import LabColor, sRGBColor
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementExcepti... | 37.325714 | 129 | 0.604409 |
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