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4e1e6d9f64c976db2a230f08343f92e8512ecc75 | 4,560 | py | Python | code/analysis/old/get_word_representativeness_Poisson.py | tkc-morita/variational_inference_DP_mix_HDP_topic_ngram | 95d6c8ab2956501fc82b416bf423ee57fe77c73f | [
"MIT"
] | 4 | 2021-03-27T18:28:23.000Z | 2022-01-10T23:32:29.000Z | code/analysis/old/get_word_representativeness_Poisson.py | stannam/variational_inference_DP_mix_HDP_topic_ngram | 95d6c8ab2956501fc82b416bf423ee57fe77c73f | [
"MIT"
] | null | null | null | code/analysis/old/get_word_representativeness_Poisson.py | stannam/variational_inference_DP_mix_HDP_topic_ngram | 95d6c8ab2956501fc82b416bf423ee57fe77c73f | [
"MIT"
] | 1 | 2022-01-10T23:45:54.000Z | 2022-01-10T23:45:54.000Z | # coding: utf-8
import pandas as pd
import numpy as np
import scipy.misc as spm
import scipy.special as sps
# import scipy.stats as spst
import sys, os.path
def main_loop(encoded_data, log_ngram, n, start_code, log_assignment_over_others, gamma_poisson):
return np.array(
[get_representativeness(
string,
... | 29.419355 | 114 | 0.739035 |
5395c8898878d9e85668cd3dcdecba71bc00bb1b | 8,749 | py | Python | Network Automation/Automation.py | kuhakuu04/Network_Automation | f3eb99943e569f3311233f437ea17cd1862e3dc9 | [
"Apache-2.0"
] | null | null | null | Network Automation/Automation.py | kuhakuu04/Network_Automation | f3eb99943e569f3311233f437ea17cd1862e3dc9 | [
"Apache-2.0"
] | null | null | null | Network Automation/Automation.py | kuhakuu04/Network_Automation | f3eb99943e569f3311233f437ea17cd1862e3dc9 | [
"Apache-2.0"
] | null | null | null | #module
import os
import paramiko
import netmiko
import getpass
import Router
#login banner
print('NETWORK AUTOMATION\nCREATE BY LNF LINFIQ 04\n\n\nver0.2.1\nhelp - show command\n')
while True:
#input
input_command = input('LNF(automation) > ')
#input command
if(input_command == 'help'):
pri... | 44.411168 | 160 | 0.508972 |
3e0f0bd2b4b852de3e60c3e3469689efa6955839 | 2,537 | py | Python | backtoshops/routes/urls.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | null | null | null | backtoshops/routes/urls.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | 6 | 2021-03-31T19:21:50.000Z | 2022-01-13T01:46:09.000Z | backtoshops/routes/urls.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
#############################################################################
#
# Copyright © Dragon Dollar Limited
# contact: contact@dragondollar.com
#
# This software is a collection of webservices designed to provide a secure
# and scalable framework to build e-commerce websites.
#
# This s... | 46.127273 | 90 | 0.703587 |
715f552cce772eb09654bf70f4e1eacbeb4bde91 | 864 | py | Python | eventkit_cloud/gunicorn.py | zta6/eventkit-cloud | a9e1aaa2bbfd3d11d3cf3df91e413e6220d6e876 | [
"BSD-3-Clause"
] | 9 | 2019-02-27T19:42:02.000Z | 2021-05-09T14:16:28.000Z | eventkit_cloud/gunicorn.py | zta6/eventkit-cloud | a9e1aaa2bbfd3d11d3cf3df91e413e6220d6e876 | [
"BSD-3-Clause"
] | 46 | 2017-06-27T03:12:57.000Z | 2018-12-28T19:48:35.000Z | eventkit_cloud/gunicorn.py | zta6/eventkit-cloud | a9e1aaa2bbfd3d11d3cf3df91e413e6220d6e876 | [
"BSD-3-Clause"
] | 7 | 2017-07-28T18:16:34.000Z | 2019-01-18T04:41:55.000Z | import os
from gunicorn.http import wsgi
# Used to configure gunicorn settings.
def build_header(name, value):
"""
Takes a header name and value and constructs a valid string to add to the headers list.
"""
stripped_value = value.lstrip(" ").rstrip("\r\n").rstrip("\n")
stripped_name = name.rstri... | 32 | 92 | 0.689815 |
f8219b6911425c43ff07a535e0179294b0d82c0b | 7,305 | py | Python | SVM/SMS_spam_classifier.py | daniel-yj-yang/ml | 075b348025e4eca416a6587f360feb2c73422ecb | [
"BSD-3-Clause"
] | null | null | null | SVM/SMS_spam_classifier.py | daniel-yj-yang/ml | 075b348025e4eca416a6587f360feb2c73422ecb | [
"BSD-3-Clause"
] | null | null | null | SVM/SMS_spam_classifier.py | daniel-yj-yang/ml | 075b348025e4eca416a6587f360feb2c73422ecb | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 10 23:20:59 2020
@author: daniel
"""
# https://github.com/DTrimarchi10/confusion_matrix/blob/master/cf_matrix.py
from machlearn import model_evaluation as me
from textblob import TextBlob
# StratifiedKFold, cross_val_score,
from sklearn.model_se... | 34.457547 | 126 | 0.657906 |
66a504538549984dd64477a3e76f3bb96316c4c1 | 669 | py | Python | var/spack/repos/builtin/packages/py-nestle/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2019-02-10T13:47:48.000Z | 2019-04-17T13:05:17.000Z | var/spack/repos/builtin/packages/py-nestle/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 32 | 2020-12-15T17:29:20.000Z | 2022-03-21T15:08:31.000Z | var/spack/repos/builtin/packages/py-nestle/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2021-07-19T20:31:27.000Z | 2021-07-19T21:14:14.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyNestle(PythonPackage):
"""Nested sampling algorithms for evaluating Bayesian evidence.""... | 30.409091 | 95 | 0.723468 |
5dcc39bdff506f5f41ad35f250c50929c6b36381 | 1,109 | py | Python | src/utils/analysis.py | JetBrains-Research/pubtrends-nature-reviews | c5806d64805726733348bdb60c9243cbf9232d02 | [
"Apache-2.0"
] | 1 | 2022-01-27T13:34:46.000Z | 2022-01-27T13:34:46.000Z | src/utils/analysis.py | JetBrains-Research/pubtrends-nature-reviews | c5806d64805726733348bdb60c9243cbf9232d02 | [
"Apache-2.0"
] | null | null | null | src/utils/analysis.py | JetBrains-Research/pubtrends-nature-reviews | c5806d64805726733348bdb60c9243cbf9232d02 | [
"Apache-2.0"
] | 1 | 2022-01-05T04:10:53.000Z | 2022-01-05T04:10:53.000Z | import logging
from pysrc.papers.analysis.graph import build_papers_graph
logger = logging.getLogger(__name__)
def get_direct_references_subgraph(analyzer, pmid):
"""
Extract subgraph of the papers graph containing only direct references
of the paper with given `pmid`.
"""
logger.info('Analyzing... | 30.805556 | 100 | 0.738503 |
d7a98d784b14dba96a32957f596e981638829fa4 | 204 | py | Python | libraries/website/tests/examples/test_swarm_solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 95 | 2020-01-02T23:02:34.000Z | 2022-03-08T18:57:24.000Z | libraries/website/tests/examples/test_swarm_solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 44 | 2020-01-05T03:07:45.000Z | 2021-08-11T20:45:53.000Z | libraries/website/tests/examples/test_swarm_solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 5 | 2020-04-04T16:46:36.000Z | 2022-03-30T08:10:02.000Z | def test_swarm_random_task():
from ...docs.snippets.examples import swarm_random_task # noqa
def test_swarm_generate_data():
from ...docs.snippets.examples import swarm_data_generation # noqa
| 29.142857 | 71 | 0.77451 |
8a2dd6d057cc66d44dbd17e0c86e0c5ddaca0bb0 | 7,345 | py | Python | sonnet/python/modules/layer_norm.py | ankitshah009/sonnet | a07676192c6d0f2ed5967d6bc367d62e55835baf | [
"Apache-2.0"
] | 3 | 2019-07-31T12:36:26.000Z | 2020-12-16T14:37:19.000Z | sonnet/python/modules/layer_norm.py | ankitshah009/sonnet | a07676192c6d0f2ed5967d6bc367d62e55835baf | [
"Apache-2.0"
] | null | null | null | sonnet/python/modules/layer_norm.py | ankitshah009/sonnet | a07676192c6d0f2ed5967d6bc367d62e55835baf | [
"Apache-2.0"
] | 3 | 2019-07-29T08:55:20.000Z | 2019-07-30T06:36:56.000Z | # Copyright 2017 The Sonnet Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 34.646226 | 80 | 0.677059 |
8b49db26652db52eeb6553f99274498c9649133a | 64,422 | py | Python | doozerlib/runtime.py | thegreyd/doozer | 89d2cad82f831aa6594c90293ec3923c08b343d6 | [
"Apache-2.0"
] | null | null | null | doozerlib/runtime.py | thegreyd/doozer | 89d2cad82f831aa6594c90293ec3923c08b343d6 | [
"Apache-2.0"
] | null | null | null | doozerlib/runtime.py | thegreyd/doozer | 89d2cad82f831aa6594c90293ec3923c08b343d6 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import, print_function, unicode_literals
from future import standard_library
standard_library.install_aliases()
from future.utils import as_native_str
from multiprocessing.dummy import Pool as ThreadPool
from contextlib import contextmanager
from collections import namedtuple
import os
... | 44.7375 | 244 | 0.620642 |
5dc033e56b43fd2b7ce65e905d2023c1aa460cae | 688 | py | Python | api/src/wt/costs/expenditures/_model.py | sedlar/work-tracking | 78917ff8200829eb674142ce43b503d8e892d7eb | [
"BSD-2-Clause"
] | null | null | null | api/src/wt/costs/expenditures/_model.py | sedlar/work-tracking | 78917ff8200829eb674142ce43b503d8e892d7eb | [
"BSD-2-Clause"
] | null | null | null | api/src/wt/costs/expenditures/_model.py | sedlar/work-tracking | 78917ff8200829eb674142ce43b503d8e892d7eb | [
"BSD-2-Clause"
] | null | null | null | from typing import List
from wt.costs.expenditures._obj import Expenditure, BoundExpenditure
from wt.ids import SimpleId, EntityId
class ExpendituresModel:
def create_expenditure(self, entity_id: EntityId, expenditure: Expenditure) -> BoundExpenditure:
raise NotImplementedError()
def delete_expendit... | 28.666667 | 100 | 0.702035 |
102d118025c02973d604b06d3f4c62dce2dbd592 | 79 | py | Python | tests/config.py | krypton-unite/time_series_models | adbf320bfb926b459d0bf3761f18ed1e260f2098 | [
"Unlicense"
] | null | null | null | tests/config.py | krypton-unite/time_series_models | adbf320bfb926b459d0bf3761f18ed1e260f2098 | [
"Unlicense"
] | null | null | null | tests/config.py | krypton-unite/time_series_models | adbf320bfb926b459d0bf3761f18ed1e260f2098 | [
"Unlicense"
] | null | null | null | """
Configures tests
"""
# devices = ['cuda', 'cpu']
devices = ['cuda', 'cpu']
| 13.166667 | 27 | 0.544304 |
2136fed3bf50aca81b83aa7789d0ef1c74e9634a | 5,801 | py | Python | Various/ThirdParty/opencv/video.py | pixlra/HARP-fork | 36e94b3f5f6798726b254380498656d17b68d2f7 | [
"CC-BY-2.0"
] | null | null | null | Various/ThirdParty/opencv/video.py | pixlra/HARP-fork | 36e94b3f5f6798726b254380498656d17b68d2f7 | [
"CC-BY-2.0"
] | 1 | 2019-01-14T09:00:21.000Z | 2019-01-14T09:00:21.000Z | Various/ThirdParty/opencv/video.py | pixlra/HARP-fork | 36e94b3f5f6798726b254380498656d17b68d2f7 | [
"CC-BY-2.0"
] | 1 | 2022-02-01T12:45:29.000Z | 2022-02-01T12:45:29.000Z | #!/usr/bin/env python
'''
Video capture sample.
Sample shows how VideoCapture class can be used to acquire video
frames from a camera of a movie file. Also the sample provides
an example of procedural video generation by an object, mimicking
the VideoCapture interface (see Chess class).
'create_capture' is a convini... | 29.748718 | 109 | 0.555249 |
c446bc91606f8a415ff5bda1f204581b15c36b47 | 1,903 | py | Python | Python_libs/.ipynb_checkpoints/stab_aux-checkpoint.py | tsommerfeld/L2-methods_for_resonances | acba48bfede415afd99c89ff2859346e1eb4f96c | [
"MIT"
] | null | null | null | Python_libs/.ipynb_checkpoints/stab_aux-checkpoint.py | tsommerfeld/L2-methods_for_resonances | acba48bfede415afd99c89ff2859346e1eb4f96c | [
"MIT"
] | null | null | null | Python_libs/.ipynb_checkpoints/stab_aux-checkpoint.py | tsommerfeld/L2-methods_for_resonances | acba48bfede415afd99c89ff2859346e1eb4f96c | [
"MIT"
] | null | null | null | """
functions needed for the GPA analysis of stabilization graphs
convention:
the scaling variable is called L
L could be a box-size or a scaling factor of exponents
however, I have the suspicion is works only,
if s = 1/L^2 as in L = boxlength is used
"""
import numpy as np
def dEdL(E, L, P, Q, R)... | 22.927711 | 69 | 0.518655 |
d377018eb4679769e06717400fccb71699724eb6 | 5,036 | py | Python | gnuradio-3.7.13.4/grc/gui/Preferences.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | 1 | 2021-03-09T07:32:37.000Z | 2021-03-09T07:32:37.000Z | gnuradio-3.7.13.4/grc/gui/Preferences.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | gnuradio-3.7.13.4/grc/gui/Preferences.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | """
Copyright 2008 Free Software Foundation, Inc.
This file is part of GNU Radio
GNU Radio Companion is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later ... | 28.942529 | 96 | 0.67633 |
fa37447a25bf986681486ca2bb9cdf2d1be114a5 | 37,527 | py | Python | ironic_inspector/node_cache.py | elfosardo/ironic-inspector | 479c0465676b36a8a9b0f23eabafdac36d5b2a6f | [
"Apache-2.0"
] | 1 | 2019-06-17T21:39:14.000Z | 2019-06-17T21:39:14.000Z | ironic_inspector/node_cache.py | elfosardo/ironic-inspector | 479c0465676b36a8a9b0f23eabafdac36d5b2a6f | [
"Apache-2.0"
] | 1 | 2019-09-16T09:38:03.000Z | 2019-09-16T09:38:03.000Z | ironic_inspector/node_cache.py | elfosardo/ironic-inspector | 479c0465676b36a8a9b0f23eabafdac36d5b2a6f | [
"Apache-2.0"
] | 5 | 2019-06-13T13:00:16.000Z | 2021-04-17T16:32:42.000Z | # 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 the... | 36.755142 | 79 | 0.603725 |
7be45c6a4732cbdb274cca2412c5c49157bcea40 | 7,339 | py | Python | indicators/tests/test_generate_periodic_target.py | Falliatcom-sa/falliatcom | 39fb926de072c296ed32d50cccfb8003ca870739 | [
"Apache-2.0"
] | null | null | null | indicators/tests/test_generate_periodic_target.py | Falliatcom-sa/falliatcom | 39fb926de072c296ed32d50cccfb8003ca870739 | [
"Apache-2.0"
] | 5 | 2021-02-08T20:42:48.000Z | 2022-03-12T00:19:38.000Z | indicators/tests/test_generate_periodic_target.py | Falliatcom-sa/falliatcom | 39fb926de072c296ed32d50cccfb8003ca870739 | [
"Apache-2.0"
] | null | null | null | import datetime
from indicators.models import Indicator
from indicators.views.view_utils import (
generate_periodic_target_single,
generate_periodic_targets
)
from django import test
@test.tag('targets', 'fast')
class GenerateSinglePeriodicTarget(test.TestCase):
def setUp(self):
self.start_date ... | 42.178161 | 119 | 0.556615 |
e68767e81b0e3b34bd20f1464488df1d1b25c5a4 | 22,151 | py | Python | q_encodings/strongly_constrained_encoding.py | irfansha/Q-Planner | 14adad480f2627a3893796b89b54f8c2622d1618 | [
"MIT"
] | null | null | null | q_encodings/strongly_constrained_encoding.py | irfansha/Q-Planner | 14adad480f2627a3893796b89b54f8c2622d1618 | [
"MIT"
] | null | null | null | q_encodings/strongly_constrained_encoding.py | irfansha/Q-Planner | 14adad480f2627a3893796b89b54f8c2622d1618 | [
"MIT"
] | null | null | null | # Irfansha Shaik, 10.04.2021, Aarhus.
from utils.variables_dispatcher import VarDispatcher as vd
from utils.gates import GatesGen as gg
from tarski.syntax import formulas as fr
# TODO: Update to adapt to strong constraints
'''
WARNING: It is possible that empty or gates might cause some problem,
not sure but better... | 49.55481 | 175 | 0.706289 |
d7cab5e474e1274b1ed0d3abb9436018e3a9dfef | 7,658 | py | Python | data_steward/cdr_cleaner/cleaning_rules/ensure_date_datetime_consistency.py | jp3477/curation | 41f98d57c8273d9963ad6d466a237c99b63c74be | [
"MIT"
] | null | null | null | data_steward/cdr_cleaner/cleaning_rules/ensure_date_datetime_consistency.py | jp3477/curation | 41f98d57c8273d9963ad6d466a237c99b63c74be | [
"MIT"
] | null | null | null | data_steward/cdr_cleaner/cleaning_rules/ensure_date_datetime_consistency.py | jp3477/curation | 41f98d57c8273d9963ad6d466a237c99b63c74be | [
"MIT"
] | null | null | null | """
Ensuring there are no null datetimes.
Original Issues: DC-614, DC-509, and DC-432
The intent is to copy the date over to the datetime field if the datetime
field is null or incorrect.
"""
# Python imports
import logging
import common
# Project imports
import constants.bq_utils as bq_consts
import constants.cdr_... | 36.995169 | 119 | 0.639462 |
f4a7de87fba623caa76c27ebaf48641f8dfef5e6 | 6,647 | py | Python | np_mnist.py | jusonn/Neural-Process | 7e76811ff90d4ff2ba57f36cfd56b2e1d9a18652 | [
"MIT"
] | 5 | 2019-02-02T14:03:26.000Z | 2020-11-07T10:23:26.000Z | np_mnist.py | jusonn/Neural-Process | 7e76811ff90d4ff2ba57f36cfd56b2e1d9a18652 | [
"MIT"
] | null | null | null | np_mnist.py | jusonn/Neural-Process | 7e76811ff90d4ff2ba57f36cfd56b2e1d9a18652 | [
"MIT"
] | 1 | 2021-03-17T11:32:35.000Z | 2021-03-17T11:32:35.000Z | import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from torchvision import datasets, transforms
from torchvision.utils import save_image
import random
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
train_loader = torch.utils.data.DataLoader(
... | 34.984211 | 103 | 0.591395 |
c083f7e39257f336c2c555756daaae4d05ba24d7 | 227 | py | Python | 30/01/1.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | 30/01/1.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | 70 | 2017-06-01T11:02:51.000Z | 2017-06-30T00:35:32.000Z | 30/01/1.py | pylangstudy/201706 | f1cc6af6b18e5bd393cda27f5166067c4645d4d3 | [
"CC0-1.0"
] | null | null | null | from array import array
ary = array('B', [0, 255, 127]) # B: unsigned char 0〜255(0x00〜0xFF)
#ary = array('B', [0, 255, -1]) # OverflowError: unsigned byte integer is less than minimum
for a in ary: print(a)
print(sorted(ary))
| 37.833333 | 91 | 0.674009 |
f5eed238404a957910b2fdc14fe482193784f494 | 10,364 | py | Python | spyder/utils/misc.py | Earthman100/spyder | 949ce0f9100a69504c70a5678e8589a05aee7d38 | [
"MIT"
] | 7,956 | 2015-02-17T01:19:09.000Z | 2022-03-31T21:52:15.000Z | spyder/utils/misc.py | Earthman100/spyder | 949ce0f9100a69504c70a5678e8589a05aee7d38 | [
"MIT"
] | 16,326 | 2015-02-16T23:15:21.000Z | 2022-03-31T23:34:34.000Z | spyder/utils/misc.py | Earthman100/spyder | 949ce0f9100a69504c70a5678e8589a05aee7d38 | [
"MIT"
] | 1,918 | 2015-02-20T19:26:26.000Z | 2022-03-31T19:03:25.000Z | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""Miscellaneous utilities"""
import functools
import logging
import os
import os.path as osp
import re
import sys
import stat
import socket
from s... | 31.791411 | 78 | 0.584523 |
992c4a1c6123b0b72902d1e73d1d62e0581ef60e | 25 | py | Python | MockBot/__init__.py | dgisolfi/MockBot | 2b7cae9d0241c3a8fcd5035356e596e0ebc3a4a2 | [
"MIT"
] | null | null | null | MockBot/__init__.py | dgisolfi/MockBot | 2b7cae9d0241c3a8fcd5035356e596e0ebc3a4a2 | [
"MIT"
] | null | null | null | MockBot/__init__.py | dgisolfi/MockBot | 2b7cae9d0241c3a8fcd5035356e596e0ebc3a4a2 | [
"MIT"
] | null | null | null | from MockBot.bot import * | 25 | 25 | 0.8 |
816aaa405033e9ca9a6b5fbc38e7d5869d041952 | 299 | py | Python | apps/static/models/__init__.py | Sult/daf | a4da9e8c96f70577e2490c05e82bdf7d0de1a563 | [
"MIT"
] | null | null | null | apps/static/models/__init__.py | Sult/daf | a4da9e8c96f70577e2490c05e82bdf7d0de1a563 | [
"MIT"
] | null | null | null | apps/static/models/__init__.py | Sult/daf | a4da9e8c96f70577e2490c05e82bdf7d0de1a563 | [
"MIT"
] | null | null | null | from .agt import *
from .cert import *
from .char import *
from .crp import *
from .dmg import *
from .eve import *
from .industry import *
from .inv import *
from .mapt import *
from .planet import *
from .ram import *
from .sta import *
from .trn import *
from .war import *
#from .temp import *
| 17.588235 | 23 | 0.692308 |
fb9e061424fcf5231137e981e095a483274e46b5 | 7,126 | py | Python | openstackclient/tests/functional/identity/v3/test_role.py | alvarosimon/python-openstackclient | 2ab3396f19796935ddcb281b865d37839a4f84f7 | [
"Apache-2.0"
] | null | null | null | openstackclient/tests/functional/identity/v3/test_role.py | alvarosimon/python-openstackclient | 2ab3396f19796935ddcb281b865d37839a4f84f7 | [
"Apache-2.0"
] | null | null | null | openstackclient/tests/functional/identity/v3/test_role.py | alvarosimon/python-openstackclient | 2ab3396f19796935ddcb281b865d37839a4f84f7 | [
"Apache-2.0"
] | 1 | 2020-07-21T02:18:23.000Z | 2020-07-21T02:18:23.000Z | # 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
# d... | 41.672515 | 78 | 0.561184 |
51f1fe44f84c9725c6ad5fb8a2c1aa97faaf867b | 2,503 | py | Python | lfp_atn_simuran/multi_runs/run_lfp_rate.py | seankmartin/lfp_atn | 647889eddfa9ba3910c74df7e61f10fd98c61854 | [
"MIT"
] | null | null | null | lfp_atn_simuran/multi_runs/run_lfp_rate.py | seankmartin/lfp_atn | 647889eddfa9ba3910c74df7e61f10fd98c61854 | [
"MIT"
] | null | null | null | lfp_atn_simuran/multi_runs/run_lfp_rate.py | seankmartin/lfp_atn | 647889eddfa9ba3910c74df7e61f10fd98c61854 | [
"MIT"
] | null | null | null | """
simuran_multi_params describes running main.py for multiple
different recordings, functions, etc.
In theory, this could describe a full experiment.
"""
import os
def create_new_entry(batch_param_loc, fn_param_loc, add=""):
def make_default_dict(add=""):
param_names = {}
# file_list_name is of... | 28.123596 | 81 | 0.59129 |
574b9a799c7616273ccc8fe8ca0ca1ca26e2a90a | 255 | py | Python | manage.py | staciajohanna/squadbox | 4701062e64c2e1d3ad75ac01fb75cf55caa1ee10 | [
"MIT"
] | 23 | 2017-10-29T17:36:30.000Z | 2020-12-04T17:44:07.000Z | manage.py | anantb/voicex | 9c22f8bf02818c6fdda6a99717bc1a1ccc9bdecd | [
"MIT"
] | 60 | 2017-10-10T21:49:26.000Z | 2021-06-10T19:12:42.000Z | manage.py | anantb/voicex | 9c22f8bf02818c6fdda6a99717bc1a1ccc9bdecd | [
"MIT"
] | 8 | 2017-12-09T16:18:53.000Z | 2021-07-12T04:08:29.000Z | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "http_handler.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| 23.181818 | 76 | 0.776471 |
b66e99b413bcc59f2f5c73d98ef98eace1f7cdb5 | 6,071 | py | Python | reference-implementation/cogs/eval.py | tilda/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 3 | 2017-07-18T11:49:58.000Z | 2018-02-25T00:10:16.000Z | reference-implementation/cogs/eval.py | tilda/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 6 | 2017-08-27T02:51:54.000Z | 2018-01-22T03:09:06.000Z | reference-implementation/cogs/eval.py | tilda/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 5 | 2017-10-07T16:41:21.000Z | 2018-02-05T22:01:48.000Z | """
The MIT License (MIT)
Copyright (c) 2018 tilda
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, publis... | 33.174863 | 88 | 0.607643 |
c5f4d5e39f8b870f5232187a302a675a23642d5f | 5,445 | py | Python | evaluation/jenkins/second_run_gear_images_without_cache.py | seveirbian/gear-old | 8d3529a9bf42e652a9d7475c9d14e9a6afc69a76 | [
"Apache-2.0"
] | null | null | null | evaluation/jenkins/second_run_gear_images_without_cache.py | seveirbian/gear-old | 8d3529a9bf42e652a9d7475c9d14e9a6afc69a76 | [
"Apache-2.0"
] | null | null | null | evaluation/jenkins/second_run_gear_images_without_cache.py | seveirbian/gear-old | 8d3529a9bf42e652a9d7475c9d14e9a6afc69a76 | [
"Apache-2.0"
] | null | null | null | import sys
# package need to be installed, pip install docker
import docker
import time
import yaml
import os
import random
import subprocess
import signal
import urllib2
import shutil
import xlwt
# package need to be installed, pip install hvac
import hvac
auto = False
private_registry = "202.114.10.146:9999/"
suff... | 28.809524 | 109 | 0.51405 |
6e10c8085e7ee2b0272707a6984a4a1b2e88e290 | 21,079 | py | Python | snake.py | andyhou965/SnakeAI | 8520c4c9a2dcd8a844e298adc3f939ec8b7ce3a5 | [
"MIT"
] | null | null | null | snake.py | andyhou965/SnakeAI | 8520c4c9a2dcd8a844e298adc3f939ec8b7ce3a5 | [
"MIT"
] | null | null | null | snake.py | andyhou965/SnakeAI | 8520c4c9a2dcd8a844e298adc3f939ec8b7ce3a5 | [
"MIT"
] | null | null | null | import numpy as np
from typing import Tuple, Optional, Union, Set, Dict, Any
from fractions import Fraction
import random
from collections import deque
import sys
import os
import json
from misc import *
from genetic_algorithm.individual import Individual
from neural_network import FeedForwardNetwork, linea... | 42.327309 | 135 | 0.59462 |
f169154333f29cc1ac783b539b5a22037e28b2d6 | 432 | py | Python | projects/views.py | aminyaraghi/portfolio | dabef787f36eb80563b6a0246a55d3495b126cb5 | [
"MIT"
] | null | null | null | projects/views.py | aminyaraghi/portfolio | dabef787f36eb80563b6a0246a55d3495b126cb5 | [
"MIT"
] | null | null | null | projects/views.py | aminyaraghi/portfolio | dabef787f36eb80563b6a0246a55d3495b126cb5 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from projects.models import Project
def project_index(request):
projects = Project.objects.all()
context = {
'projects': projects
}
return render(request, 'project_index.html', context)
def project_detail(request, pk):
project = Project.objects.get(pk=... | 22.736842 | 58 | 0.68287 |
d89dc2402f97bbb8cc742987ddaf32554db003cc | 11,716 | py | Python | tests/table/test_join.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 750 | 2019-01-03T16:02:48.000Z | 2022-03-30T19:53:03.000Z | tests/table/test_join.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 311 | 2019-01-14T13:07:13.000Z | 2022-03-31T07:43:08.000Z | tests/table/test_join.py | 0scarB/piccolo | 27539219431874bae99b7206df48133fbe1a27eb | [
"MIT"
] | 48 | 2020-12-18T08:13:50.000Z | 2022-03-24T03:18:06.000Z | import decimal
from unittest import TestCase
from tests.example_apps.music.tables import (
Band,
Concert,
Manager,
Ticket,
Venue,
)
TABLES = [Manager, Band, Venue, Concert]
class TestCreateJoin:
def test_create_join(self):
for table in TABLES:
table.create_table().run_syn... | 31.923706 | 79 | 0.550444 |
0ae2dd48c7ad3d7bfdeb431cc77b8b8be1bba784 | 2,972 | py | Python | Tiana.py | TEAMOFDEVIL-X/TIANACHATBOT | 7a6c85c12d506b79a6788646fd4e3c210b3c1166 | [
"MIT"
] | 3 | 2021-09-04T07:01:11.000Z | 2021-10-17T19:25:13.000Z | Tiana.py | TEAMOFDEVIL-X/TIANACHATBOT | 7a6c85c12d506b79a6788646fd4e3c210b3c1166 | [
"MIT"
] | null | null | null | Tiana.py | TEAMOFDEVIL-X/TIANACHATBOT | 7a6c85c12d506b79a6788646fd4e3c210b3c1166 | [
"MIT"
] | 6 | 2021-08-06T18:36:49.000Z | 2022-01-05T11:00:57.000Z | print("[INFO]: Importing Your API_ID, API_HASH, BOT_TOKEN")
import re
from asyncio import (gather, get_event_loop, sleep)
from aiohttp import ClientSession
from pyrogram import (Client, filters, idle)
from Python_ARQ import ARQ
from config import bot, BOT_TOKEN, ARQ_API_KEY, ARQ_API_BASE_URL, LANGUAGE
bot_token= BOT_... | 25.843478 | 80 | 0.64031 |
7240cf093e2eeba8e74fa05114e309f3dd93e24d | 636 | py | Python | exploitTemplate.py | ArchCWithClasses/VanillaX86BufferOverflow | d154ceae6237cec82df834b0eeba7400510e28f1 | [
"MIT"
] | null | null | null | exploitTemplate.py | ArchCWithClasses/VanillaX86BufferOverflow | d154ceae6237cec82df834b0eeba7400510e28f1 | [
"MIT"
] | null | null | null | exploitTemplate.py | ArchCWithClasses/VanillaX86BufferOverflow | d154ceae6237cec82df834b0eeba7400510e28f1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import socket
ip = "MACHINE_IP"
port = 1337
#Testing chars for shellcode, 0x00(Null byte) is default bad.
charslist = ""
badchars = [0x00]
for i in range (0x00, 0xFF+1):
if i not in badchars:
charslist += chr(i)
#shellcode = ()
offset = 0
jun... | 19.272727 | 61 | 0.591195 |
2dbf035c011ed16dd4913befdce6c7c824bb3053 | 632 | py | Python | manage.py | Parth-Shah-99/Polling-Project | b9d1548dc801a0b02d1fd8b925276d9349bb10fe | [
"MIT"
] | 1 | 2021-06-23T11:24:01.000Z | 2021-06-23T11:24:01.000Z | manage.py | Parth-Shah-99/Polling-Project | b9d1548dc801a0b02d1fd8b925276d9349bb10fe | [
"MIT"
] | null | null | null | manage.py | Parth-Shah-99/Polling-Project | b9d1548dc801a0b02d1fd8b925276d9349bb10fe | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'PollsProject.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise I... | 28.727273 | 76 | 0.685127 |
98eae49ad844740f1e0251c1e23b2e1c4380b48c | 952 | py | Python | assignment_7/src/train.py | amitbcp/tsai-vision | 14a66d4c3295714fdcc97db13804ffba9d6f06cc | [
"Apache-2.0"
] | null | null | null | assignment_7/src/train.py | amitbcp/tsai-vision | 14a66d4c3295714fdcc97db13804ffba9d6f06cc | [
"Apache-2.0"
] | null | null | null | assignment_7/src/train.py | amitbcp/tsai-vision | 14a66d4c3295714fdcc97db13804ffba9d6f06cc | [
"Apache-2.0"
] | 2 | 2021-07-25T10:24:11.000Z | 2021-08-13T09:23:30.000Z | import torch.nn as nn
import torch.nn.functional as F
from tqdm import tqdm
def train(model, device, train_loader, optimizer,train_acc,train_losses):
model.train()
pbar = tqdm(train_loader)
correct = 0
processed = 0
for batch_idx, (data, target) in enumerate(pbar):
data = data["image"].to(... | 27.2 | 98 | 0.633403 |
00dbd4284076dad57d9f3a1590123acb842a3603 | 906 | py | Python | service/microservice.py | SFDigitalServices/solarpanel | 1e9850a286dc389ed392cdaf5a0ac04a3bd0798b | [
"MIT"
] | null | null | null | service/microservice.py | SFDigitalServices/solarpanel | 1e9850a286dc389ed392cdaf5a0ac04a3bd0798b | [
"MIT"
] | null | null | null | service/microservice.py | SFDigitalServices/solarpanel | 1e9850a286dc389ed392cdaf5a0ac04a3bd0798b | [
"MIT"
] | null | null | null | """Main application module"""
import os
import json
import jsend
import sentry_sdk
import falcon
from .resources.welcome import Welcome
from .resources.solarpanel import SolarPanel
from .resources.staticresource import StaticResource
def start_service():
"""Start this service
set SENTRY_DSN environmental varia... | 28.3125 | 71 | 0.722958 |
7bcdcf7636c3b3eb1a293748ea16e349bf7adb6b | 4,629 | py | Python | paddlevideo/utils/record.py | Hzx66666/BDCI_Padddle_5 | 5283d8b9d3db3eb828e401faf42b62f71770d0ff | [
"Apache-2.0"
] | 1 | 2021-11-24T09:23:21.000Z | 2021-11-24T09:23:21.000Z | paddlevideo/utils/record.py | Hzx66666/BDCI_Padddle_5 | 5283d8b9d3db3eb828e401faf42b62f71770d0ff | [
"Apache-2.0"
] | null | null | null | paddlevideo/utils/record.py | Hzx66666/BDCI_Padddle_5 | 5283d8b9d3db3eb828e401faf42b62f71770d0ff | [
"Apache-2.0"
] | 1 | 2021-11-24T09:49:26.000Z | 2021-11-24T09:49:26.000Z | # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.738095 | 81 | 0.620436 |
6e29081b4f1bcd34cc71cc5a00d56e91e3693b82 | 1,832 | py | Python | dist/Platform.app/Contents/Resources/lib/python3.7/wx/py/tests/test_interpreter.py | njalloul90/Genomics_Oncology_Platform | 9bf6d0edca5df783f4e371fa1bc46b7b1576fe70 | [
"MIT"
] | 6 | 2021-07-26T14:21:25.000Z | 2021-07-26T14:32:01.000Z | dist/Platform.app/Contents/Resources/lib/python3.7/wx/py/tests/test_interpreter.py | njalloul90/Genomics_Oncology_Platform | 9bf6d0edca5df783f4e371fa1bc46b7b1576fe70 | [
"MIT"
] | 9 | 2021-03-18T23:10:27.000Z | 2022-03-11T23:43:55.000Z | dist/Platform.app/Contents/Resources/lib/python3.7/wx/py/tests/test_interpreter.py | njalloul90/Genomics_Oncology_Platform | 9bf6d0edca5df783f4e371fa1bc46b7b1576fe70 | [
"MIT"
] | 2 | 2019-03-11T05:06:49.000Z | 2019-03-22T21:48:49.000Z | #!/usr/bin/env python
__author__ = "Patrick K. O'Brien <pobrien@orbtech.com>"
import unittest
from wx.py import interpreter
"""
These unittest methods are preferred:
-------------------------------------
self.assert_(expr, msg=None)
self.assertEqual(first, second, msg=None)
self.assertRaises(excClass, callableObj,... | 25.444444 | 62 | 0.582424 |
6d65e55b35d6c50fd364f4b7234eb87be70280a0 | 2,161 | py | Python | src/visualize/visualize_nturefined.py | Immocat/ACTOR | c7237e82e333bf2c57f7d8e12f27d0831233befc | [
"MIT"
] | 164 | 2021-09-06T12:43:39.000Z | 2022-03-29T02:33:38.000Z | src/visualize/visualize_nturefined.py | Immocat/ACTOR | c7237e82e333bf2c57f7d8e12f27d0831233befc | [
"MIT"
] | 14 | 2021-09-17T00:42:24.000Z | 2022-03-07T04:18:12.000Z | src/visualize/visualize_nturefined.py | Immocat/ACTOR | c7237e82e333bf2c57f7d8e12f27d0831233befc | [
"MIT"
] | 27 | 2021-09-07T04:38:38.000Z | 2022-03-29T00:37:10.000Z | import matplotlib.pyplot as plt
import torch
from src.datasets.get_dataset import get_dataset
from src.utils.anim import plot_3d_motion
import src.utils.fixseed # noqa
plt.switch_backend('agg')
def viz_ntu13(dataset, device):
""" Generate & viz samples """
print("Visualization of the ntu13")
from ... | 31.318841 | 138 | 0.62795 |
d12ee5d8c8be93b34aa01ee940a4d5932c56a7e7 | 86,253 | py | Python | pybit/__init__.py | jerrydboonstra/pybit | c4e945d43bf1c3d6134e80ea969d0dd195d124e1 | [
"MIT"
] | 118 | 2020-03-31T21:13:48.000Z | 2022-03-26T15:23:05.000Z | pybit/__init__.py | msjahan47/pybit | c4e945d43bf1c3d6134e80ea969d0dd195d124e1 | [
"MIT"
] | 53 | 2020-04-04T00:34:29.000Z | 2022-03-08T22:50:43.000Z | pybit/__init__.py | msjahan47/pybit | c4e945d43bf1c3d6134e80ea969d0dd195d124e1 | [
"MIT"
] | 48 | 2020-11-10T15:41:51.000Z | 2022-03-18T19:49:32.000Z | # -*- coding: utf-8 -*-
"""
pybit
------------------------
pybit is a lightweight and high-performance API connector for the
RESTful and WebSocket APIs of the Bybit exchange.
Documentation can be found at
https://github.com/verata-veritatis/pybit
:copyright: (c) 2020-2021 verata-veritatis
:license: MIT License
"""... | 34.849697 | 125 | 0.550149 |
d327ef81625cd9c2487c8476d1180277ae2a8720 | 6,725 | py | Python | osf_tests/management_commands/test_EGAP_import.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | osf_tests/management_commands/test_EGAP_import.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | osf_tests/management_commands/test_EGAP_import.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | # encoding: utf-8
import os
import shutil
import pytest
import responses
HERE = os.path.dirname(os.path.abspath(__file__))
from osf_tests.factories import (
AuthUserFactory,
NodeFactory,
ApiOAuth2PersonalTokenFactory
)
from osf.models import (
RegistrationSchema,
ApiOAuth2PersonalToken
)
from osf.m... | 36.155914 | 128 | 0.625725 |
96e2ad47fceb41d887d116d9f5fba9befbc2a704 | 3,637 | py | Python | load_data.py | cocoaaa/ml_gesture | a23dd7b9d13bbcb5a1ee049a7f1b026f81a4ba9d | [
"MIT"
] | null | null | null | load_data.py | cocoaaa/ml_gesture | a23dd7b9d13bbcb5a1ee049a7f1b026f81a4ba9d | [
"MIT"
] | null | null | null | load_data.py | cocoaaa/ml_gesture | a23dd7b9d13bbcb5a1ee049a7f1b026f81a4ba9d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 16 14:26:09 2015
@author: LLP-admin
"""
import sys
import pandas as pd
from sklearn.preprocessing import StandardScaler
def divideByClass(filepath, toSave = True):
"""
Input: a complete filepath
toSave (bool parameter): if true, save each class file to curren... | 37.494845 | 134 | 0.636514 |
93b45eb07fa4cbf662e5eba4013866afb34ed1c3 | 114,954 | py | Python | kinow_client/apis/videos_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | 1 | 2019-06-26T14:24:54.000Z | 2019-06-26T14:24:54.000Z | kinow_client/apis/videos_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | null | null | null | kinow_client/apis/videos_api.py | kinow-io/kinow-python-sdk | 4c1699a3c78048b84287bd049a669651a5b4e2d5 | [
"Apache-2.0"
] | 1 | 2018-02-01T10:08:40.000Z | 2018-02-01T10:08:40.000Z | # coding: utf-8
"""
Server API
Reference for Server API (REST/Json)
OpenAPI spec version: 1.4.58
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six i... | 44.607683 | 489 | 0.568888 |
9d7f76dcca0831dac26a2110d75072cc9f9470df | 2,414 | py | Python | validation/certs/scripts/chains/issuer-no-match-subject/generate.py | Werxis/usable-cert-validation | d166af6accbd1054f1ecd9db7a70600ca9c1bf8e | [
"MIT"
] | 13 | 2019-07-11T11:41:14.000Z | 2021-12-18T23:50:56.000Z | validation/certs/scripts/chains/issuer-no-match-subject/generate.py | Werxis/usable-cert-validation | d166af6accbd1054f1ecd9db7a70600ca9c1bf8e | [
"MIT"
] | 115 | 2019-07-11T13:46:38.000Z | 2022-03-08T18:28:31.000Z | validation/certs/scripts/chains/issuer-no-match-subject/generate.py | Werxis/usable-cert-validation | d166af6accbd1054f1ecd9db7a70600ca9c1bf8e | [
"MIT"
] | 9 | 2020-05-05T17:11:17.000Z | 2021-12-19T15:04:48.000Z | import asn1tools
from utils import x509
from utils import io
from utils import misc
from utils import crypto
VALID_ASN_FILE = 'valid.asn'
EXPORTED_KEY_NAME = 'key.pem'
EXPORTED_CHAIN_NAME = 'chain.pem'
def main():
args = misc.parse_arguments()
# Compile the ASN.1 specification
asn = asn1tools.compile_fi... | 34.485714 | 74 | 0.635046 |
b9589eaf4d72108188b155a7257a18baeb08c97f | 863 | py | Python | analysis/out_periods_elo_test.py | damienld/Tennis-predict | be5658d70bd4751bf9f11aa8ef51f1d77d77120a | [
"Apache-2.0"
] | null | null | null | analysis/out_periods_elo_test.py | damienld/Tennis-predict | be5658d70bd4751bf9f11aa8ef51f1d77d77120a | [
"Apache-2.0"
] | null | null | null | analysis/out_periods_elo_test.py | damienld/Tennis-predict | be5658d70bd4751bf9f11aa8ef51f1d77d77120a | [
"Apache-2.0"
] | null | null | null | import out_periods_elo
import pandas as pd
from datetime import datetime
from brier_score import calc_brier
class Test_Analyse_out_periods_predictions:
def test_analyse_out_periods_predictions_1(self):
dfWithElos = pd.read_csv("./results/dfWithElos.csv", parse_dates=["Date"])
# dont keep year 1 as... | 45.421053 | 88 | 0.71263 |
9d09f30f85bfddc5e6dd1dbefcba7364494feb5a | 38 | py | Python | src/apps/devices/cubelib/__init__.py | ajintom/music_sync | 0d7bc302502d28e4be4f0a0be1fc9bafb706f651 | [
"MIT"
] | null | null | null | src/apps/devices/cubelib/__init__.py | ajintom/music_sync | 0d7bc302502d28e4be4f0a0be1fc9bafb706f651 | [
"MIT"
] | null | null | null | src/apps/devices/cubelib/__init__.py | ajintom/music_sync | 0d7bc302502d28e4be4f0a0be1fc9bafb706f651 | [
"MIT"
] | null | null | null | __all__ = ["emulator", "mywireframe"]
| 19 | 37 | 0.684211 |
ac61daa3c54495624b8682899688bd4fd36deaca | 13,110 | py | Python | api/config/h5Template/tanmuContent.py | jimbunny/wedding-invitation | a3648454e1105d9362f95d9f6e69055a7522e15b | [
"MIT"
] | null | null | null | api/config/h5Template/tanmuContent.py | jimbunny/wedding-invitation | a3648454e1105d9362f95d9f6e69055a7522e15b | [
"MIT"
] | null | null | null | api/config/h5Template/tanmuContent.py | jimbunny/wedding-invitation | a3648454e1105d9362f95d9f6e69055a7522e15b | [
"MIT"
] | null | null | null | tanmuContent = '''
<style>
.barrage-input-tip {
z-index: 1999;
position: absolute;
left: 10px;
width: 179.883px;
height: 35.7422px;
line-height: 35.7422px;
border-radius: 35.7422px;
box-sizing: border-box;
color: rgb(255, 255, 255);
... | 39.017857 | 427 | 0.564607 |
8919c9ec891776336e37810e06435914b153bbfc | 2,669 | py | Python | train.py | Derolik666/im2latex | 458a33f13e876389c54136c5103fe3718d2f91d1 | [
"Apache-2.0"
] | 2 | 2020-09-14T19:01:16.000Z | 2020-09-14T19:45:48.000Z | train.py | Derolik666/im2latex | 458a33f13e876389c54136c5103fe3718d2f91d1 | [
"Apache-2.0"
] | null | null | null | train.py | Derolik666/im2latex | 458a33f13e876389c54136c5103fe3718d2f91d1 | [
"Apache-2.0"
] | 1 | 2020-12-09T06:39:44.000Z | 2020-12-09T06:39:44.000Z | import click
from model.utils.data_generator import DataGenerator
from model.img2seq import Img2SeqModel
from model.utils.lr_schedule import LRSchedule
from model.utils.general import Config
from model.utils.text import Vocab
from model.utils.image import greyscale
@click.command()
@click.option('--data', default="... | 43.048387 | 87 | 0.626827 |
a2ec172f37543b2c0b960d4df4b0cb3a2ab750a9 | 12,779 | py | Python | karix/models/inline_response2001.py | karixtech/karix-python | e9162d41249a639fdb35cba1263416d76d7b79c9 | [
"MIT"
] | 5 | 2019-02-27T07:22:40.000Z | 2021-03-28T23:17:23.000Z | karix/models/inline_response2001.py | sendbee/karix-python | 0f2d72a6949dce5d5db5d3f48b37d3b6fc65a50e | [
"MIT"
] | 2 | 2019-12-03T13:55:07.000Z | 2020-03-31T03:44:40.000Z | karix/models/inline_response2001.py | sendbee/karix-python | 0f2d72a6949dce5d5db5d3f48b37d3b6fc65a50e | [
"MIT"
] | 5 | 2019-04-22T17:33:29.000Z | 2021-01-12T19:57:44.000Z | # coding: utf-8
"""
karix api
# Overview Karix API lets you interact with the Karix platform using an omnichannel messaging API. It also allows you to query your account, set up webhooks and buy phone numbers. # API and Clients Versioning Karix APIs are versioned using the format vX.Y where X is the major ... | 88.131034 | 8,932 | 0.622193 |
d1df6116b6aae7ad456af6b519d7f5908a36c5b4 | 2,313 | py | Python | scripts/deps.py | wolfgangwazzlestrauss/canvas | 87d577ec2edfe1188d8ecd176acc5a284b1dc81f | [
"MIT"
] | null | null | null | scripts/deps.py | wolfgangwazzlestrauss/canvas | 87d577ec2edfe1188d8ecd176acc5a284b1dc81f | [
"MIT"
] | 2 | 2022-02-04T05:06:16.000Z | 2022-02-04T05:06:27.000Z | scripts/deps.py | wolfgangwazzlestrauss/canvas | 87d577ec2edfe1188d8ecd176acc5a284b1dc81f | [
"MIT"
] | null | null | null | """Script for checking and updating package dependencies."""
import pathlib
from typing import Any, Dict, List
import requests
import toml
import typer
app = typer.Typer(help=__doc__)
# Mypy incorrectly thinks that toml.TomlEncoder is not defined.
class CustomEncoder(toml.TomlEncoder): # type: ignore
"""Cus... | 25.417582 | 79 | 0.629918 |
cba35b1a0a0f8dac5e3f747841af5d359686fd79 | 6,034 | py | Python | fm/models/eventclassificationrule.py | xUndero/noc | 9fb34627721149fcf7064860bd63887e38849131 | [
"BSD-3-Clause"
] | 1 | 2019-09-20T09:36:48.000Z | 2019-09-20T09:36:48.000Z | fm/models/eventclassificationrule.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | fm/models/eventclassificationrule.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# EventClassificationRule model
# ---------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# --------------------------------------------------... | 34.678161 | 89 | 0.524196 |
0d9d0fc071ab858362508d459fffcda0a807ec04 | 8,401 | py | Python | examples/vision/python_yolov4/image_processing.py | raramakr/AMDMIGraphX | 83e7425367f6ce850ec28fe716fe7c23ce34c79f | [
"MIT"
] | 72 | 2018-12-06T18:31:17.000Z | 2022-03-30T15:01:02.000Z | examples/vision/python_yolov4/image_processing.py | raramakr/AMDMIGraphX | 83e7425367f6ce850ec28fe716fe7c23ce34c79f | [
"MIT"
] | 1,006 | 2018-11-30T16:32:33.000Z | 2022-03-31T22:43:39.000Z | examples/vision/python_yolov4/image_processing.py | raramakr/AMDMIGraphX | 83e7425367f6ce850ec28fe716fe7c23ce34c79f | [
"MIT"
] | 36 | 2019-05-07T10:41:46.000Z | 2022-03-28T15:59:56.000Z | # All pre- and post-processing methods used below are borrowed from the ONNX MOdel Zoo
# https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov4
import numpy as np
import cv2
from scipy import special
import colorsys
import random
# this function is from tensorflow-yolov4-tflite/core/u... | 35.748936 | 88 | 0.559576 |
43190b0457d4fa58556fe9e6cff0fb6df20dfa63 | 2,437 | py | Python | rlpyt/ul/algos/ul_for_rl/replay_saver.py | traffic-lights/rlpyt | ec4689cddd55d98c037194685cfd6ca8e6785014 | [
"MIT"
] | 2,122 | 2019-07-02T13:19:10.000Z | 2022-03-22T09:59:42.000Z | rlpyt/ul/algos/ul_for_rl/replay_saver.py | traffic-lights/rlpyt | ec4689cddd55d98c037194685cfd6ca8e6785014 | [
"MIT"
] | 206 | 2019-07-02T14:19:42.000Z | 2022-02-15T02:34:28.000Z | rlpyt/ul/algos/ul_for_rl/replay_saver.py | traffic-lights/rlpyt | ec4689cddd55d98c037194685cfd6ca8e6785014 | [
"MIT"
] | 369 | 2019-07-02T13:38:28.000Z | 2022-03-28T11:16:39.000Z |
from rlpyt.algos.base import RlAlgorithm
from rlpyt.replays.non_sequence.uniform import UniformReplayBuffer
from rlpyt.replays.non_sequence.frame import UniformReplayFrameBuffer
from rlpyt.utils.collections import namedarraytuple
SamplesToBuffer = namedarraytuple("SamplesToBuffer",
["observation", "action", "re... | 35.838235 | 90 | 0.681986 |
936f0683fc29c257e045c8e058d647034eb5d05b | 1,327 | py | Python | app/core/models.py | justinwkUKM/django-app-api | a55231ac1d938ff3678ff06d47cfdbcc5301f371 | [
"MIT"
] | null | null | null | app/core/models.py | justinwkUKM/django-app-api | a55231ac1d938ff3678ff06d47cfdbcc5301f371 | [
"MIT"
] | 4 | 2021-03-19T01:28:34.000Z | 2021-09-22T18:49:45.000Z | app/core/models.py | justinwkUKM/django-app-api | a55231ac1d938ff3678ff06d47cfdbcc5301f371 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, \
BaseUserManager, PermissionsMixin
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
'''creates and saves a new user'''
if not email:
raise ValueEr... | 32.365854 | 76 | 0.683497 |
4ba82c71a030c321256ee495a4ac971c57e43edf | 3,687 | py | Python | dict_minimize/torch_api.py | anukaal/dict_minimize | df1934ddde4e64da88e39cc41e2e1a70f32488f3 | [
"Apache-2.0"
] | 64 | 2020-08-26T17:39:14.000Z | 2022-03-30T09:50:26.000Z | dict_minimize/torch_api.py | anukaal/dict_minimize | df1934ddde4e64da88e39cc41e2e1a70f32488f3 | [
"Apache-2.0"
] | 10 | 2020-08-24T19:14:05.000Z | 2021-09-29T18:31:55.000Z | dict_minimize/torch_api.py | anukaal/dict_minimize | df1934ddde4e64da88e39cc41e2e1a70f32488f3 | [
"Apache-2.0"
] | 5 | 2021-01-13T13:50:34.000Z | 2022-03-21T01:02:28.000Z | from collections import OrderedDict
from typing import Callable, Optional, Sequence
import numpy as np
import torch
from dict_minimize.core._scipy import _minimize
def _get_dtype(X):
dtype = X.dtype
return dtype
def _from_np(X, dtype):
assert X.dtype.kind == "f"
dtype_ = X.dtype
X = np.asarra... | 36.87 | 115 | 0.643341 |
cfeb4691eff89c3c33a147b0da65451d28aebc18 | 442 | py | Python | azusa/__tests__/test_curve_probabilities.py | ihowell/mtgcurve | d6b2f59be257e84025e0322b10f957418fa493f1 | [
"MIT"
] | null | null | null | azusa/__tests__/test_curve_probabilities.py | ihowell/mtgcurve | d6b2f59be257e84025e0322b10f957418fa493f1 | [
"MIT"
] | 6 | 2021-03-18T23:25:11.000Z | 2021-03-27T02:05:47.000Z | azusa/__tests__/test_curve_probabilities.py | ihowell/mtgcurve | d6b2f59be257e84025e0322b10f957418fa493f1 | [
"MIT"
] | null | null | null | from azusa.curve_probabilities import calculate_cmc_probs, display_prob_table
def test_artifact_probs():
num_lands = 4
num_other = 7
mana_producers = {'Mana Crypt': 1, 'Sol Ring': 1}
probs = calculate_cmc_probs(len(mana_producers) + num_lands + num_other,
mana_producer... | 29.466667 | 77 | 0.588235 |
7de919af6fb9fa507282f40617e7134bbb73f2a7 | 37,779 | py | Python | packages/netsuite-adapter/scripts/types_generator.py | tomermevorach/salto | f159518d52e62075f9720a8d2ce83918e6243304 | [
"Apache-2.0"
] | null | null | null | packages/netsuite-adapter/scripts/types_generator.py | tomermevorach/salto | f159518d52e62075f9720a8d2ce83918e6243304 | [
"Apache-2.0"
] | null | null | null | packages/netsuite-adapter/scripts/types_generator.py | tomermevorach/salto | f159518d52e62075f9720a8d2ce83918e6243304 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
from selenium import webdriver
import os
import pyotp
import re
import sys
import time
import logging
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s', level=logging.INFO)
SCRIPT_DIR = os.path.dirname(__file__)
SRC_DIR = os.path.join(SCRIPT_DIR, '../src/')
TYPES_DIR = os.path.joi... | 56.9819 | 345 | 0.774557 |
c5e1f3102d15fec97688f3c0082a4dde4344e558 | 2,785 | py | Python | petastorm/tests/test_metadata_read.py | VivekPanyam/petastorm | d8dcee4541f26d58195e9cb119ac5acf53d0a58d | [
"Apache-2.0"
] | null | null | null | petastorm/tests/test_metadata_read.py | VivekPanyam/petastorm | d8dcee4541f26d58195e9cb119ac5acf53d0a58d | [
"Apache-2.0"
] | null | null | null | petastorm/tests/test_metadata_read.py | VivekPanyam/petastorm | d8dcee4541f26d58195e9cb119ac5acf53d0a58d | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2018 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 42.846154 | 119 | 0.725314 |
ad2922b20dc00412bdaf075ba02292be7edc0dc5 | 10,224 | py | Python | ladim_plugins/sedimentation/test_ibm.py | pnsaevik/ladim_plugins | 2097a451346e2517e50f735be8b31862f24e64e2 | [
"MIT"
] | null | null | null | ladim_plugins/sedimentation/test_ibm.py | pnsaevik/ladim_plugins | 2097a451346e2517e50f735be8b31862f24e64e2 | [
"MIT"
] | null | null | null | ladim_plugins/sedimentation/test_ibm.py | pnsaevik/ladim_plugins | 2097a451346e2517e50f735be8b31862f24e64e2 | [
"MIT"
] | 1 | 2020-07-09T08:18:36.000Z | 2020-07-09T08:18:36.000Z | import numpy as np
from ladim_plugins.sedimentation import ibm
import pytest
class Stub:
def __init__(self, **kwargs):
self._dic = kwargs
def __getattr__(self, item):
return self._dic[item]
class Test_update:
@staticmethod
def gsf(num, hvel=0, wvel=0, dt=1):
zr = np.zeros(nu... | 30.338279 | 82 | 0.548611 |
7b363bb14890a1c746ac9f5c1ce7508c007e2dd7 | 2,294 | py | Python | networkapi/equipamento/resource/EquipmentTypeGetAllResource.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | networkapi/equipamento/resource/EquipmentTypeGetAllResource.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | networkapi/equipamento/resource/EquipmentTypeGetAllResource.py | brunodevel/GloboNetworkAPI | ea8eebc0337636f9250e628cc392514934db8edd | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# 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 "Lic... | 38.233333 | 104 | 0.710549 |
71eb9e5a7ff4709067eb66e4dd361c8d02d86e3f | 178 | py | Python | doc/CyberSecurity/Modern_Cryptography/Enigma/Python_Enigma/ReflectorA.py | tanducmai/.dotfiles | 13cad9bc7fcecff6108eb5df34635d4748712532 | [
"Unlicense"
] | null | null | null | doc/CyberSecurity/Modern_Cryptography/Enigma/Python_Enigma/ReflectorA.py | tanducmai/.dotfiles | 13cad9bc7fcecff6108eb5df34635d4748712532 | [
"Unlicense"
] | null | null | null | doc/CyberSecurity/Modern_Cryptography/Enigma/Python_Enigma/ReflectorA.py | tanducmai/.dotfiles | 13cad9bc7fcecff6108eb5df34635d4748712532 | [
"Unlicense"
] | null | null | null | #Reflector A
alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
reflector = "EJMZALYXVBWFCRQUONTSPIKHGD"
def reflect(letter):
spot = alphabet.find(letter)
return reflector[spot]
| 17.8 | 40 | 0.764045 |
abe1efcfb7137a47a36aba247b9e4b259b082ea1 | 3,336 | py | Python | venv/Lib/site-packages/networkx/algorithms/community/tests/test_centrality.py | Richoor/HEFT | 8422bfc5e9abf132c409a0ae299cbde29eb6e5fc | [
"BSD-3-Clause"
] | 4 | 2018-10-19T04:36:20.000Z | 2020-02-13T16:14:09.000Z | venv/Lib/site-packages/networkx/algorithms/community/tests/test_centrality.py | Richoor/HEFT | 8422bfc5e9abf132c409a0ae299cbde29eb6e5fc | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/networkx/algorithms/community/tests/test_centrality.py | Richoor/HEFT | 8422bfc5e9abf132c409a0ae299cbde29eb6e5fc | [
"BSD-3-Clause"
] | 1 | 2018-08-23T14:45:15.000Z | 2018-08-23T14:45:15.000Z | # -*- coding: utf-8 -*-
# test_centrality.py - unit tests for algorithms.community.centrality
#
# Copyright 2015, 2016 NetworkX developers.
#
# This file is part of NetworkX.
#
# NetworkX is distributed under a BSD license; see LICENSE.txt for more
# information.
"""Unit tests for the :mod:`networkx.algorithms.communit... | 35.870968 | 82 | 0.61301 |
625064129186841687f03065c106ae96463aeb08 | 3,974 | py | Python | alipay/aop/api/request/AlipayUserCertdocSyncRequest.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/request/AlipayUserCertdocSyncRequest.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/request/AlipayUserCertdocSyncRequest.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayUserCertdocSyncModel import AlipayUserCertdocSyncModel
class AlipayUserCertdocSyncRequest(object):
def __in... | 27.406897 | 166 | 0.643181 |
7ee13083aaf65d1936a1919ade839d3f576c28b7 | 12,607 | py | Python | pycas/cas/core/CasFactory.py | dkpro/dkpro-pycas | caeeea1613a689ce51c14c11cbc285dfe7af6521 | [
"Apache-2.0"
] | 5 | 2017-08-18T04:00:08.000Z | 2018-06-01T12:57:21.000Z | pycas/cas/core/CasFactory.py | dkpro/dkpro-pycas | caeeea1613a689ce51c14c11cbc285dfe7af6521 | [
"Apache-2.0"
] | 7 | 2018-05-14T10:44:47.000Z | 2019-11-04T12:13:02.000Z | pycas/cas/core/CasFactory.py | dkpro/dkpro-pycas | caeeea1613a689ce51c14c11cbc285dfe7af6521 | [
"Apache-2.0"
] | 4 | 2018-03-23T15:28:39.000Z | 2019-03-26T14:52:11.000Z | '''
Created on Jan 23, 2017
@author: Dibyojyoti
'''
from pycas.cas.parse.CasXmiParser import CasXmiParser
from pycas.cas.core.CAS import CAS
from pycas.type.cas.CAS_Type import CAS_Type
from pycas.type.cas.TypeSystemFactory import TypeSystemFactory
from pycas.type.cas.TypeDescription import TypeDescription
class CasF... | 53.876068 | 138 | 0.555009 |
7f1842197c18298ae10e00ef469c0516703864bd | 5,209 | py | Python | tests/test_crop_foregroundd.py | benduffy1/MONAI | 046e625b09262261373d7b8039fb652547201368 | [
"Apache-2.0"
] | 3 | 2020-06-22T20:59:14.000Z | 2021-04-09T21:24:45.000Z | tests/test_crop_foregroundd.py | Borda/MONAI | e0db5a564225a7cb62e7a23df97267019006302f | [
"Apache-2.0"
] | null | null | null | tests/test_crop_foregroundd.py | Borda/MONAI | e0db5a564225a7cb62e7a23df97267019006302f | [
"Apache-2.0"
] | 1 | 2020-06-22T19:22:59.000Z | 2020-06-22T19:22:59.000Z | # Copyright (c) MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, so... | 36.426573 | 119 | 0.444231 |
620117126deef89eb70e8e531a68e9183c97cb7e | 9,349 | py | Python | Script_Extraction_API/quadrillage_recurssif_opti.py | CazabetLyon1/lyon_resto_2018_Autumn | 2d9f495b1fdcea3e9f9e0945baf4d49f24b17de4 | [
"DOC"
] | 1 | 2020-10-25T08:21:19.000Z | 2020-10-25T08:21:19.000Z | Script_Extraction_API/quadrillage_recurssif_opti.py | CazabetLyon1/lyon_resto_2018_Autumn | 2d9f495b1fdcea3e9f9e0945baf4d49f24b17de4 | [
"DOC"
] | null | null | null | Script_Extraction_API/quadrillage_recurssif_opti.py | CazabetLyon1/lyon_resto_2018_Autumn | 2d9f495b1fdcea3e9f9e0945baf4d49f24b17de4 | [
"DOC"
] | null | null | null | from math import *
import copy
import json
import time
from geopy import distance
import matplotlib.pyplot as plt
import numpy as np
#liste en variable globale qui contient les coordonnées et le rayon associé de tout les appels qu'il faut faire pour couvrir la meme zone que l'ancien json donné
l=[]
NB_MAX_RES = 30
#fon... | 32.688811 | 331 | 0.683603 |
3dcf6d8300d04b5e3276145e21d9eca8843dadf7 | 42,004 | py | Python | saleor/graphql/product/tests/test_category.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/product/tests/test_category.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/product/tests/test_category.py | nestfiy/saleor | 6fce3bc5c0ca72ac28db99553e6d2b49249c6dac | [
"CC-BY-4.0"
] | null | null | null | import os
from unittest.mock import Mock, patch
import graphene
import pytest
from django.utils.functional import SimpleLazyObject
from django.utils.text import slugify
from graphql_relay import to_global_id
from ....product.error_codes import ProductErrorCode
from ....product.models import Category, Product, Product... | 32.236378 | 88 | 0.654842 |
cb30382a453e8230414a67ff376a0ff8b1f918a1 | 1,350 | py | Python | model_training/unet_vae/trainer.py | ostapViniavskyi/brain_tumor_segmentation | c367155bd8eb3e4f950da824385641d2dc8c063a | [
"MIT"
] | 7 | 2019-12-18T20:07:03.000Z | 2021-04-28T09:19:11.000Z | model_training/unet_vae/trainer.py | ostapViniavskyi/brain_tumor_segmentation | c367155bd8eb3e4f950da824385641d2dc8c063a | [
"MIT"
] | null | null | null | model_training/unet_vae/trainer.py | ostapViniavskyi/brain_tumor_segmentation | c367155bd8eb3e4f950da824385641d2dc8c063a | [
"MIT"
] | 1 | 2022-01-17T11:21:50.000Z | 2022-01-17T11:21:50.000Z | import tqdm
import numpy as np
from model_training.unet_addnet.trainer import Trainer
class TrainerVAE(Trainer):
def __init__(self, model, vae, config, train_dl, val_dl, device):
super(TrainerVAE, self).__init__(model, config, train_dl, val_dl, device)
self.vae = vae
def _init_params(self):
... | 30 | 81 | 0.603704 |
f3104cd45a6b2360c64481838cb49d7da68b8a43 | 1,234 | py | Python | odbx/api/views/alarms.py | kilinger/odbx | 78fa0ed60db4debb9398b9e197961c7a758dd9f4 | [
"BSD-3-Clause"
] | null | null | null | odbx/api/views/alarms.py | kilinger/odbx | 78fa0ed60db4debb9398b9e197961c7a758dd9f4 | [
"BSD-3-Clause"
] | null | null | null | odbx/api/views/alarms.py | kilinger/odbx | 78fa0ed60db4debb9398b9e197961c7a758dd9f4 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding:utf-8 -*-
from rest_framework import viewsets
from odbx.alarms.filters import AlarmMenuFilter
from odbx.alarms.models import AlarmMenu
from odbx.alarms.serializers import AlarmMenuSerializer
class AlarmViewSet(viewsets.ModelViewSet):
queryset = AlarmMenu.objects.all()
serializer_class = AlarmMenu... | 36.294118 | 86 | 0.690438 |
c4eddad37eeefabcff7e096394f351ac9aceb65c | 5,497 | py | Python | tests/test_config_builder.py | TheoLaudatQM/py-qua-tools | 60c005c651148bafee8f437ce1be69d2340a265b | [
"BSD-3-Clause"
] | null | null | null | tests/test_config_builder.py | TheoLaudatQM/py-qua-tools | 60c005c651148bafee8f437ce1be69d2340a265b | [
"BSD-3-Clause"
] | null | null | null | tests/test_config_builder.py | TheoLaudatQM/py-qua-tools | 60c005c651148bafee8f437ce1be69d2340a265b | [
"BSD-3-Clause"
] | null | null | null | import pytest
import numpy as np
from qualang_tools.config.configuration import *
from qualang_tools.config.components import *
from qualang_tools.config.builder import ConfigBuilder
@pytest.fixture
def config_resonator():
cont = Controller("con1")
res = ReadoutResonator(
"res1",
outputs=[con... | 33.723926 | 88 | 0.616882 |
b6066628072ec200299de963f6a63afc059b70be | 2,239 | py | Python | tests/demo/demoproject/settings.py | saxix/django-adminfilters | 14fd8dba6629752e64eccc5bec651eefb2c6c701 | [
"BSD-1-Clause"
] | 17 | 2015-03-03T23:15:31.000Z | 2022-03-02T16:55:18.000Z | tests/demo/demoproject/settings.py | saxix/django-adminfilters | 14fd8dba6629752e64eccc5bec651eefb2c6c701 | [
"BSD-1-Clause"
] | 9 | 2015-11-10T15:30:27.000Z | 2022-02-12T20:55:39.000Z | tests/demo/demoproject/settings.py | saxix/django-adminfilters | 14fd8dba6629752e64eccc5bec651eefb2c6c701 | [
"BSD-1-Clause"
] | 14 | 2015-04-07T13:52:42.000Z | 2022-02-03T17:54:42.000Z | # Django settings for demoproject project.
import os
import sys
here = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(here, '..', '..')))
DEBUG = True
TEMPLATE_DEBUG = DEBUG
DATABASES = {
'default': {
# Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'.
'ENGINE': '... | 29.460526 | 78 | 0.662349 |
dc848883e0ae2b00907882d275eb8d0a7b2c9da8 | 2,866 | py | Python | warbler/configuration.py | heckj/warbler | 9f79ce4d279a3c166d9b8d244b645d74124eee00 | [
"Apache-2.0"
] | 3 | 2020-09-30T05:37:09.000Z | 2021-11-06T07:01:12.000Z | warbler/configuration.py | heckj/warbler | 9f79ce4d279a3c166d9b8d244b645d74124eee00 | [
"Apache-2.0"
] | null | null | null | warbler/configuration.py | heckj/warbler | 9f79ce4d279a3c166d9b8d244b645d74124eee00 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Joseph Heck. See LICENSE
import os
# import shutil
from pathlib import Path as P
import configparser
import logging
logger = logging.getLogger(__name__)
sbg_config_dir = P("heckj", "warbler")
# https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
xdg_config_dir = {
... | 33.717647 | 117 | 0.652477 |
335d2287ae2481c3d4ae75b92b323b2c454c270a | 706 | py | Python | blamepipeline/tokenizers/__init__.py | Shuailong/BlamePipeline | bbd508dd0afc2e2c579f6afea5a3acd4c5c47956 | [
"MIT"
] | 5 | 2019-02-12T14:47:40.000Z | 2021-10-24T00:39:05.000Z | blamepipeline/tokenizers/__init__.py | Shuailong/BlamePipeline | bbd508dd0afc2e2c579f6afea5a3acd4c5c47956 | [
"MIT"
] | 1 | 2020-08-10T10:16:29.000Z | 2020-08-10T10:16:29.000Z | blamepipeline/tokenizers/__init__.py | Shuailong/BlamePipeline | bbd508dd0afc2e2c579f6afea5a3acd4c5c47956 | [
"MIT"
] | 3 | 2019-02-12T14:48:01.000Z | 2022-02-07T15:27:09.000Z | #!/usr/bin/env python3
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
DEFAULTS = {
'corenlp_classpath': os.getenv('CLASSPATH')
}
def set_default(key, value):
g... | 19.081081 | 61 | 0.709632 |
b36868ccced89a9828e1f3ed666c963011828486 | 9,517 | py | Python | generate_data/task2_data_quiz.py | shshen-closer/TOP1-for-Answer-Prediction-task-2-in-the-NeurIPS-2020-Education-Challenge | 2add1704909a46c443681d8e1701ee54ddc43039 | [
"Apache-2.0"
] | 3 | 2021-01-18T15:02:12.000Z | 2021-05-16T10:47:33.000Z | generate_data/task2_data_quiz.py | shshen-closer/TOP1-for-Answer-Prediction-task-2-in-the-NeurIPS-2020-Education-Challenge | 2add1704909a46c443681d8e1701ee54ddc43039 | [
"Apache-2.0"
] | null | null | null | generate_data/task2_data_quiz.py | shshen-closer/TOP1-for-Answer-Prediction-task-2-in-the-NeurIPS-2020-Education-Challenge | 2add1704909a46c443681d8e1701ee54ddc43039 | [
"Apache-2.0"
] | 2 | 2021-02-22T01:24:54.000Z | 2022-03-12T00:29:17.000Z | import numpy as np
import pandas as pd
from tqdm import tqdm
import random
import json
#df_train = pd.read_csv('train_data/train_task_1_2.csv')
pd.set_option('display.float_format',lambda x : '%.2f' % x)
np.set_printoptions(suppress=True)
seq_len = 10
train_all = pd.read_csv('../data_preproces... | 38.068 | 102 | 0.450772 |
14caa73b91ed1abad6eb9acf99129977013df021 | 4,917 | py | Python | pw_console/py/help_window_test.py | Robor-Electronics/pigweed | f0a3564dc72361e9e0e4af77ababc8114e7c4763 | [
"Apache-2.0"
] | null | null | null | pw_console/py/help_window_test.py | Robor-Electronics/pigweed | f0a3564dc72361e9e0e4af77ababc8114e7c4763 | [
"Apache-2.0"
] | null | null | null | pw_console/py/help_window_test.py | Robor-Electronics/pigweed | f0a3564dc72361e9e0e4af77ababc8114e7c4763 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Pigweed 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 30.73125 | 79 | 0.570673 |
771f22eeb9ca175037e9e72bdb034cfc5e59a661 | 3,349 | py | Python | agent/agent/settings.py | parker-pu/octopus-plus | 8533f9c8a5b895e8851d2bece408864cc12c01b2 | [
"Apache-2.0"
] | null | null | null | agent/agent/settings.py | parker-pu/octopus-plus | 8533f9c8a5b895e8851d2bece408864cc12c01b2 | [
"Apache-2.0"
] | null | null | null | agent/agent/settings.py | parker-pu/octopus-plus | 8533f9c8a5b895e8851d2bece408864cc12c01b2 | [
"Apache-2.0"
] | null | null | null | # Scrapy settings for agent project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.h... | 33.49 | 103 | 0.768289 |
50ea575a79ffa4a58b582885aefe89646e2ac670 | 2,297 | py | Python | pyhole/core/config.py | jk0/pyhole | 67ea7212fbbb8731a5cf649168b296d2dcd04059 | [
"Apache-2.0"
] | 12 | 2016-01-29T14:47:41.000Z | 2020-03-11T04:09:14.000Z | pyhole/core/config.py | jk0/pyhole | 67ea7212fbbb8731a5cf649168b296d2dcd04059 | [
"Apache-2.0"
] | 24 | 2016-01-13T18:50:33.000Z | 2016-10-07T15:39:06.000Z | pyhole/core/config.py | jk0/pyhole | 67ea7212fbbb8731a5cf649168b296d2dcd04059 | [
"Apache-2.0"
] | 9 | 2015-01-10T18:18:30.000Z | 2016-05-21T01:37:00.000Z | # Copyright 2010-2011 Josh Kearney
#
# 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 agre... | 33.289855 | 79 | 0.612538 |
9ae6226c29396d38b9178faf335f0e9ff21ca1e8 | 3,007 | py | Python | kittycad/api/file/get_file_conversion.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | 1 | 2022-02-06T05:07:25.000Z | 2022-02-06T05:07:25.000Z | kittycad/api/file/get_file_conversion.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | 7 | 2022-02-04T11:29:25.000Z | 2022-03-07T01:37:26.000Z | kittycad/api/file/get_file_conversion.py | KittyCAD/kittycad.py | 7f7460d366dbd55fce50e5faa4a032b62e4baae4 | [
"MIT"
] | null | null | null | from typing import Any, Dict, Optional, Union, cast
import httpx
from ...client import Client
from ...models.file_conversion_with_output import FileConversionWithOutput
from ...models.error import Error
from ...types import Response
def _get_kwargs(
id: str,
*,
client: Client,
) -> Dict[str, Any]:
url = "{}/file... | 25.922414 | 125 | 0.745261 |
fa42cbeb9cd3faf5fdf8c1ae734320bbbb6234f9 | 102,341 | py | Python | tests/validation/cattlevalidationtest/core/common_fixtures.py | bmdepesa/validation-tests | 23e7ab95ce76744483a0657f790b42a88a93436d | [
"Apache-2.0"
] | 7 | 2015-11-18T17:43:08.000Z | 2021-07-14T09:48:18.000Z | tests/validation/cattlevalidationtest/core/common_fixtures.py | bmdepesa/validation-tests | 23e7ab95ce76744483a0657f790b42a88a93436d | [
"Apache-2.0"
] | 175 | 2015-07-09T18:41:24.000Z | 2021-06-10T21:23:27.000Z | tests/validation/cattlevalidationtest/core/common_fixtures.py | bmdepesa/validation-tests | 23e7ab95ce76744483a0657f790b42a88a93436d | [
"Apache-2.0"
] | 25 | 2015-08-08T04:54:24.000Z | 2021-05-25T21:10:37.000Z | from cattle import from_env
import pytest
import random
import requests
import os
import time
import logging
import paramiko
import inspect
import re
import json
from docker import Client
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
TEST_IMAGE_UUID = os.environ.get('CATTL... | 35.448909 | 79 | 0.607928 |
1fd3b671a467d34c73d236d968add37499b665be | 5,764 | py | Python | maskrcnn_benchmark/modeling/rpn/rpn.py | huajianni666/maskrcnn-benchmark | 8543f26c44a8f0a4d178548bd08471bf53498381 | [
"MIT"
] | 2 | 2019-02-12T10:02:17.000Z | 2019-02-12T14:42:08.000Z | maskrcnn_benchmark/modeling/rpn/rpn.py | huajianni666/maskrcnn-benchmark | 8543f26c44a8f0a4d178548bd08471bf53498381 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/modeling/rpn/rpn.py | huajianni666/maskrcnn-benchmark | 8543f26c44a8f0a4d178548bd08471bf53498381 | [
"MIT"
] | 1 | 2020-03-27T11:21:10.000Z | 2020-03-27T11:21:10.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
import torch.nn.functional as F
from torch import nn
import pdb
from maskrcnn_benchmark.modeling import registry
from maskrcnn_benchmark.modeling.box_coder import BoxCoder
from .loss import make_rpn_loss_evaluator
from .anchor_generato... | 40.027778 | 86 | 0.650416 |
4585b0fcd22acbbab59888eef94f5bf829f1b747 | 5,140 | py | Python | packages/M2Crypto-0.21.1/demo/medusa/default_handler.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | null | null | null | packages/M2Crypto-0.21.1/demo/medusa/default_handler.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | 6 | 2021-03-31T19:21:50.000Z | 2022-01-13T01:46:09.000Z | packages/M2Crypto-0.21.1/demo/medusa/default_handler.py | RaphaelPrevost/Back2Shops | 5f2d369e82fe2a7b9b3a6c55782319b23d142dfd | [
"CECILL-B"
] | null | null | null | # -*- Mode: Python; tab-width: 4 -*-
#
# Author: Sam Rushing <rushing@nightmare.com>
# Copyright 1997 by Sam Rushing
# All Rights Reserved.
#
# standard python modules
import os
import re
import posixpath
import stat
import string
import time
# medusa modules
import http_date
import http_server
import mime_type... | 23.796296 | 73 | 0.677432 |
e6d2a9ad9bc8376df7184e244bdec40a3ca9c6ac | 1,999 | py | Python | ssseg/modules/datasets/lip.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | 1 | 2021-05-28T06:42:37.000Z | 2021-05-28T06:42:37.000Z | ssseg/modules/datasets/lip.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | null | null | null | ssseg/modules/datasets/lip.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | null | null | null | '''
Function:
load the LIP dataset
Author:
Zhenchao Jin
'''
import os
import pandas as pd
from .base import *
'''LIP dataset'''
class LIPDataset(BaseDataset):
num_classes = 20
classnames = ['__background__', 'hat', 'hair', 'glove', 'sunglasses', 'upperclothes', 'dress',
'coat', 'soc... | 43.456522 | 99 | 0.624312 |
0f440debf44f018eccc4e398418786361a1994de | 8,287 | py | Python | plata/payment/modules/ogone.py | fsw/plata | c704f2626da1c233e5f915c34b95d576915fe607 | [
"BSD-3-Clause"
] | null | null | null | plata/payment/modules/ogone.py | fsw/plata | c704f2626da1c233e5f915c34b95d576915fe607 | [
"BSD-3-Clause"
] | null | null | null | plata/payment/modules/ogone.py | fsw/plata | c704f2626da1c233e5f915c34b95d576915fe607 | [
"BSD-3-Clause"
] | null | null | null | """
Payment module for Ogone integration
Needs the following settings to work correctly::
OGONE = {
'PSPID': 'your_shop_id',
'LIVE': True, # Or False
'SHA1_IN': 'yourhash',
'SHA1_OUT': 'yourotherhash',
}
"""
from decimal import Decimal
from hashlib import sha1
import local... | 35.719828 | 90 | 0.615663 |
85cd31aed0af562c9e93ede5068ff14d43328b4f | 5,263 | py | Python | foundation_setting_out_rev01.py | suben-mk/FoundationSetting-Out-Rev01 | e4b47bba88e2e33b81486350197e02203fe79159 | [
"MIT"
] | null | null | null | foundation_setting_out_rev01.py | suben-mk/FoundationSetting-Out-Rev01 | e4b47bba88e2e33b81486350197e02203fe79159 | [
"MIT"
] | null | null | null | foundation_setting_out_rev01.py | suben-mk/FoundationSetting-Out-Rev01 | e4b47bba88e2e33b81486350197e02203fe79159 | [
"MIT"
] | null | null | null | # Foundation Setting Out Program Rev.01
import numpy as np
import csv
################################## Function List ##################################
# Convert Angle : แปลงมุม (Credit Prajuab Riabroy's Blog)
PI = np.pi
DEG2RAD = PI / 180.0
RAD2DEG= 180.0 / PI
# แปลง degree > deg,min,sec (Credit Praj... | 41.769841 | 151 | 0.586358 |
da63931547da9d005f57cf986aad1ad1f8080914 | 558 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/SUN/slice_accum.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/SUN/slice_accum.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GL/SUN/slice_accum.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import... | 34.875 | 113 | 0.775986 |
a2f4f8abdf7783427ea7ed9d939e9b0f5e2670f9 | 12,856 | py | Python | recognition/triplet_loss.py | chicm/landmark | 6cb2672e9a042050721f9e557b9827316b205bc2 | [
"Apache-2.0"
] | null | null | null | recognition/triplet_loss.py | chicm/landmark | 6cb2672e9a042050721f9e557b9827316b205bc2 | [
"Apache-2.0"
] | null | null | null | recognition/triplet_loss.py | chicm/landmark | 6cb2672e9a042050721f9e557b9827316b205bc2 | [
"Apache-2.0"
] | 1 | 2020-01-20T13:42:29.000Z | 2020-01-20T13:42:29.000Z | # encoding: utf-8
"""
@author: liaoxingyu
@contact: sherlockliao01@gmail.com
"""
import torch
from torch import nn
from torch.autograd import Variable
def normalize(x, axis=-1):
"""Normalizing to unit length along the specified dimension.
Args:
x: pytorch Variable
Returns:
x: pytorch Variable,... | 34.282667 | 83 | 0.604698 |
7c54b5d7e0d7c3159ef91378a80cb5d9bfb8e43e | 38 | py | Python | samreetira2/__init__.py | samreetira123/samreetira2 | 38004bbfe9f698407ad816b29f7ce728c3472f58 | [
"MIT"
] | null | null | null | samreetira2/__init__.py | samreetira123/samreetira2 | 38004bbfe9f698407ad816b29f7ce728c3472f58 | [
"MIT"
] | null | null | null | samreetira2/__init__.py | samreetira123/samreetira2 | 38004bbfe9f698407ad816b29f7ce728c3472f58 | [
"MIT"
] | null | null | null | from samreetira2.samree import Samree
| 19 | 37 | 0.868421 |
a1d98ddc7c88635a63b6c5ee293fd490d5cd7b51 | 22,776 | py | Python | fastybird_fb_bus_connector/connector.py | FastyBird/fb-bus-connector-plugin | 71568874243578a37a01bd3f0cbb3306c331d11f | [
"Apache-2.0"
] | null | null | null | fastybird_fb_bus_connector/connector.py | FastyBird/fb-bus-connector-plugin | 71568874243578a37a01bd3f0cbb3306c331d11f | [
"Apache-2.0"
] | null | null | null | fastybird_fb_bus_connector/connector.py | FastyBird/fb-bus-connector-plugin | 71568874243578a37a01bd3f0cbb3306c331d11f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# Copyright 2021. FastyBird s.r.o.
#
# 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... | 40.311504 | 118 | 0.587592 |
91866e298c1a32f1ab98b7bcf43edf35ce6d8158 | 3,428 | py | Python | Chapter_3/visits_microservice/visits_microservice_stack.py | jonahjon/spring-petclinic | df5213dc715c88679bd290b07d4461ac1b511ffa | [
"Apache-2.0"
] | null | null | null | Chapter_3/visits_microservice/visits_microservice_stack.py | jonahjon/spring-petclinic | df5213dc715c88679bd290b07d4461ac1b511ffa | [
"Apache-2.0"
] | null | null | null | Chapter_3/visits_microservice/visits_microservice_stack.py | jonahjon/spring-petclinic | df5213dc715c88679bd290b07d4461ac1b511ffa | [
"Apache-2.0"
] | null | null | null | from aws_cdk import (
aws_ec2 as ec2,
aws_ecs as ecs,
aws_rds as rds,
aws_ecs as ecs,
aws_ecr_assets as ecr_assets,
aws_autoscaling as autoscaling,
aws_elasticloadbalancingv2 as elbv2,
core
)
from random import randint
class VisitsMicroserviceStack(core.Stack):
def __init__(self, scope: core.Construct, ... | 32.647619 | 127 | 0.556301 |
0b3a02c58998543f31103df321e9653c13fc9ccd | 429 | py | Python | checkout/migrations/0003_alter_order_country.py | sanson0/obelisk_jewellery | 27f811f5d163c6fd6336fba56d7f54d5570fc7a8 | [
"PostgreSQL"
] | null | null | null | checkout/migrations/0003_alter_order_country.py | sanson0/obelisk_jewellery | 27f811f5d163c6fd6336fba56d7f54d5570fc7a8 | [
"PostgreSQL"
] | null | null | null | checkout/migrations/0003_alter_order_country.py | sanson0/obelisk_jewellery | 27f811f5d163c6fd6336fba56d7f54d5570fc7a8 | [
"PostgreSQL"
] | 1 | 2021-10-30T11:10:51.000Z | 2021-10-30T11:10:51.000Z | # Generated by Django 3.2.7 on 2021-10-01 11:31
from django.db import migrations
import django_countries.fields
class Migration(migrations.Migration):
dependencies = [
('checkout', '0002_auto_20210928_1357'),
]
operations = [
migrations.AlterField(
model_name='order',
... | 21.45 | 69 | 0.634033 |
2e7adbddb57cc23200e1d042adbccf44d404f3b1 | 253 | py | Python | commands/newClass.py | AsherSeiling/jvclass | 6a279145165994bfb2e37dee7cac626e6b0526ba | [
"MIT"
] | null | null | null | commands/newClass.py | AsherSeiling/jvclass | 6a279145165994bfb2e37dee7cac626e6b0526ba | [
"MIT"
] | null | null | null | commands/newClass.py | AsherSeiling/jvclass | 6a279145165994bfb2e37dee7cac626e6b0526ba | [
"MIT"
] | null | null | null | import os
import sys
def new_class(args):
name = str(args[2].split(".")[1])
codetamplate = [f"public class {name}" + "{", "}"]
os.system(f"touch {args[2]}.java")
files = open(f"{args[2]}.java", "w+")
for i in codetamplate:
files.write(f"{i}\n")
| 23 | 51 | 0.604743 |
3d7052cb94e66ff3ef323488d2c7fa93e3345859 | 5,364 | py | Python | deep_sort/tracker.py | weishengtoh/computervision_assignment | 98964e765527956b15ac2cf075914956ea4e7ec4 | [
"Apache-2.0"
] | null | null | null | deep_sort/tracker.py | weishengtoh/computervision_assignment | 98964e765527956b15ac2cf075914956ea4e7ec4 | [
"Apache-2.0"
] | null | null | null | deep_sort/tracker.py | weishengtoh/computervision_assignment | 98964e765527956b15ac2cf075914956ea4e7ec4 | [
"Apache-2.0"
] | null | null | null | # vim: expandtab:ts=4:sw=4
from __future__ import absolute_import
import numpy as np
from . import kalman_filter
from . import linear_assignment
from . import iou_matching
from .track import Track, TrackState
class Tracker:
"""
This is the multi-target tracker.
Parameters
----------
metric : nn_m... | 37.774648 | 80 | 0.645041 |
1fb20d685fd94a6e1a5bab513ab753ec67eae398 | 3,059 | py | Python | tests/python/test_local_atomics.py | ppwwyyxx/taichi | ef0c3367bb06ad78b3457b8f93b5370f14b1d9c4 | [
"MIT"
] | 1 | 2020-05-19T06:21:39.000Z | 2020-05-19T06:21:39.000Z | tests/python/test_local_atomics.py | zf38473013/taichi | ad4d7ae04f4e559e84f6dee4a64ad57c3cf0c7fb | [
"MIT"
] | null | null | null | tests/python/test_local_atomics.py | zf38473013/taichi | ad4d7ae04f4e559e84f6dee4a64ad57c3cf0c7fb | [
"MIT"
] | null | null | null | import taichi as ti
@ti.all_archs
def test_explicit_local_atomic_add():
A = ti.var(ti.f32, shape=())
@ti.kernel
def func():
a = 0
for i in range(10):
ti.atomic_add(a, i)
A[None] = a
func()
assert A[None] == 45
@ti.all_archs
def test_implicit_local_atomic_add... | 16.625 | 44 | 0.505721 |
7ae2ed5d7d3c943ab18dac8ce2415b59e77f2b3e | 320 | py | Python | 25 1000-digit Fibonacci number.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | 2 | 2020-06-09T10:35:12.000Z | 2020-06-09T11:32:16.000Z | 25 1000-digit Fibonacci number.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | null | null | null | 25 1000-digit Fibonacci number.py | Polar1ty/euler_problems | bc1cd917d95d1b63b80a0b182dbd5e9f90a95d90 | [
"MIT"
] | null | null | null | # 1000-digit Fibonacci number
import time
start = time.time()
fibo = [1, 1]
while 1:
new_f = fibo[-2] + fibo[-1]
fibo.append(new_f)
if len(str(new_f)) == 1000:
print('Result =', fibo.index(new_f) + 1)
break
end = time.time()
print('Time of execution = ' + str(end - start))
| 20 | 49 | 0.559375 |
602fcb07447ad09561d80028e3c7c194afdbe4d3 | 13,849 | py | Python | utils/eulerangles.py | Hao-FANG-92/3D_PSPNet | 2821a3181cbdb70ee3291c29ebac19af38e6c8dc | [
"MIT"
] | 6 | 2020-06-13T08:34:49.000Z | 2021-11-09T04:09:48.000Z | utils/eulerangles.py | jtpils/3D_PSPNet | 2821a3181cbdb70ee3291c29ebac19af38e6c8dc | [
"MIT"
] | null | null | null | utils/eulerangles.py | jtpils/3D_PSPNet | 2821a3181cbdb70ee3291c29ebac19af38e6c8dc | [
"MIT"
] | 4 | 2020-03-08T17:00:19.000Z | 2022-03-18T15:42:14.000Z | # emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
#
### ##... | 33.052506 | 100 | 0.594195 |
bd3b8066be6f55e107635852b6699094b1c8a64e | 4,424 | py | Python | qiskit/chemistry/algorithms/eigen_solvers/q_eom_ee.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | 1 | 2020-08-01T21:07:54.000Z | 2020-08-01T21:07:54.000Z | qiskit/chemistry/algorithms/eigen_solvers/q_eom_ee.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | null | null | null | qiskit/chemistry/algorithms/eigen_solvers/q_eom_ee.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | 1 | 2022-01-25T07:09:10.000Z | 2022-01-25T07:09:10.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019, 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 48.615385 | 94 | 0.62726 |
86748563683dfff1f127d811a9418843553f2764 | 1,662 | py | Python | catalyst/rl/core/exploration.py | 162/catalyst | b4ba36be52c51160e0fabecdcb084a8d5cd96cb7 | [
"MIT"
] | null | null | null | catalyst/rl/core/exploration.py | 162/catalyst | b4ba36be52c51160e0fabecdcb084a8d5cd96cb7 | [
"MIT"
] | null | null | null | catalyst/rl/core/exploration.py | 162/catalyst | b4ba36be52c51160e0fabecdcb084a8d5cd96cb7 | [
"MIT"
] | null | null | null | from typing import List
from copy import deepcopy
import numpy as np
from catalyst.rl.registry import EXPLORATION
from catalyst.rl.core import EnvironmentSpec
class ExplorationStrategy:
"""
Base class for working with various exploration strategies.
In discrete case must contain method get_action(q_values... | 31.961538 | 74 | 0.683514 |
1596f9e2d19c328135331402283f4ec8caf8c784 | 982 | py | Python | outlook/setup.py | penelopec/indico-plugins-cern | bb67d2fb9e3d24faeeff2b78a5e9bcff52ac5f26 | [
"MIT"
] | null | null | null | outlook/setup.py | penelopec/indico-plugins-cern | bb67d2fb9e3d24faeeff2b78a5e9bcff52ac5f26 | [
"MIT"
] | null | null | null | outlook/setup.py | penelopec/indico-plugins-cern | bb67d2fb9e3d24faeeff2b78a5e9bcff52ac5f26 | [
"MIT"
] | null | null | null | # This file is part of the CERN Indico plugins.
# Copyright (C) 2014 - 2018 CERN
#
# The CERN Indico plugins are free software; you can redistribute
# them and/or modify them under the terms of the MIT License; see
# the LICENSE file for more details.
from __future__ import unicode_literals
from setuptools import fin... | 27.277778 | 76 | 0.662933 |
14552793cee58d25d39650fd853b7bff55726a8c | 146 | py | Python | payment_handler/handler/apps.py | KartashevaAnna/Payment-platform | c229894de5dd2b0f745b1d363fac2fcc9372413c | [
"MIT"
] | null | null | null | payment_handler/handler/apps.py | KartashevaAnna/Payment-platform | c229894de5dd2b0f745b1d363fac2fcc9372413c | [
"MIT"
] | 1 | 2021-11-04T13:47:28.000Z | 2021-11-04T13:47:28.000Z | payment_handler/handler/apps.py | KartashevaAnna/Payment-platform | c229894de5dd2b0f745b1d363fac2fcc9372413c | [
"MIT"
] | 1 | 2021-10-20T14:44:19.000Z | 2021-10-20T14:44:19.000Z | from django.apps import AppConfig
class HandlerConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'handler'
| 20.857143 | 56 | 0.760274 |
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