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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4a147698daeee0172bfdb9915bb99f41c11597b4 | 8,517 | py | Python | src/users/schema.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/users/schema.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/users/schema.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | from django.db.models.aggregates import Sum
import graphene
import graphql_jwt
from django.conf import settings
from django.contrib.auth.forms import PasswordChangeForm
from django.db.models import Q
from graphene_django import DjangoObjectType
from graphene_django.forms.mutation import DjangoFormMutation
from graphql ... | 32.632184 | 83 | 0.669132 |
4a147753ad2b57bdd5934c49f0b442ebee602c9b | 310 | py | Python | mayan/apps/common/serializers.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/common/serializers.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/common/serializers.py | bonitobonita24/Mayan-EDMS | 7845fe0e1e83c81f5d227a16116397a3d3883b85 | [
"Apache-2.0"
] | 114 | 2015-01-08T20:21:05.000Z | 2018-12-10T19:07:53.000Z | from django.contrib.contenttypes.models import ContentType
from mayan.apps.rest_api import serializers
class ContentTypeSerializer(serializers.ModelSerializer):
class Meta:
fields = ('app_label', 'id', 'model')
model = ContentType
read_only_fields = ('app_label', 'id', 'model')
| 28.181818 | 58 | 0.712903 |
4a14785d354ff7368551db04b9fd6651886ed842 | 940 | bzl | Python | contest/experimental_defs.bzl | nya3jp/rules_contest | e74a9892785912b11bbd975068641e558aa4a623 | [
"MIT"
] | 6 | 2020-09-03T13:10:49.000Z | 2021-03-10T01:13:49.000Z | contest/experimental_defs.bzl | nya3jp/rules_contest | e74a9892785912b11bbd975068641e558aa4a623 | [
"MIT"
] | 11 | 2020-05-22T09:43:29.000Z | 2021-03-24T10:55:49.000Z | contest/experimental_defs.bzl | nya3jp/rules_contest | e74a9892785912b11bbd975068641e558aa4a623 | [
"MIT"
] | null | null | null | def domjudge_package(name, dataset, domjudge_metadata = None, icpc_metadata = None, statements = [], **kwargs):
out = name + ".zip"
args = [
"'$(execpath @rules_contest//contest/impls:domjudge_package)'",
"--output='$@'",
"--dataset='$(execpath " + dataset + ")'",
]
srcs = [datas... | 36.153846 | 111 | 0.578723 |
4a14787b572170995962a229392f890a31a6f5ce | 1,504 | py | Python | tests/sequence_labelling/tools/checkpoints_test.py | elifesciences/sciencebeam-trainer-delft | 0f7da96cdf32acf1538a5fded192255158883ba0 | [
"MIT"
] | 5 | 2019-10-19T13:00:34.000Z | 2022-01-16T17:31:42.000Z | tests/sequence_labelling/tools/checkpoints_test.py | elifesciences/sciencebeam-trainer-delft | 0f7da96cdf32acf1538a5fded192255158883ba0 | [
"MIT"
] | 162 | 2019-08-22T10:28:46.000Z | 2022-03-28T17:33:16.000Z | tests/sequence_labelling/tools/checkpoints_test.py | elifesciences/sciencebeam-trainer-delft | 0f7da96cdf32acf1538a5fded192255158883ba0 | [
"MIT"
] | null | null | null | import json
from pathlib import Path
from sciencebeam_trainer_delft.sequence_labelling.tools.checkpoints import (
main
)
def _create_checkpoint(path: Path, meta: dict):
path.mkdir(exist_ok=True)
path.joinpath('meta.json').write_text(json.dumps(meta))
return path
class TestMain:
def test_should_... | 26.385965 | 76 | 0.510638 |
4a14791014dd8b1fcef62ca55c0f029f846ed985 | 367,984 | py | Python | saleor/graphql/product/tests/test_product.py | haoyang09/saleor | 33f17288459012aab28d517c899fac439a07b729 | [
"CC-BY-4.0"
] | 1 | 2021-08-20T02:19:08.000Z | 2021-08-20T02:19:08.000Z | saleor/graphql/product/tests/test_product.py | haoyang09/saleor | 33f17288459012aab28d517c899fac439a07b729 | [
"CC-BY-4.0"
] | 172 | 2021-05-03T04:34:37.000Z | 2022-03-28T04:41:53.000Z | saleor/graphql/product/tests/test_product.py | twocucao/saleor | 308413ed9c19e7938e690fe3cf339b526fd34df2 | [
"CC-BY-4.0"
] | 1 | 2022-03-24T08:37:58.000Z | 2022-03-24T08:37:58.000Z | import json
import os
from datetime import datetime, timedelta
from decimal import Decimal
from unittest import mock
from unittest.mock import ANY, Mock, patch
import graphene
import pytest
import pytz
from django.core.exceptions import ValidationError
from django.db.models import Sum
from django.utils import timezone... | 32.087897 | 88 | 0.644341 |
4a147a19184ad9bff3c8326f38718e7ba30d350c | 6,653 | py | Python | Scripts/Miscellaneous/Research_paper_latex_parser/get_details.py | ShivangiPatel102/Python_and_the_Web | 6d3b55aef20feeda3cfff941d7bbdc26cbcc70d2 | [
"MIT"
] | 437 | 2020-09-24T13:57:39.000Z | 2022-03-30T12:45:56.000Z | Scripts/Miscellaneous/Research_paper_latex_parser/get_details.py | ShivangiPatel102/Python_and_the_Web | 6d3b55aef20feeda3cfff941d7bbdc26cbcc70d2 | [
"MIT"
] | 355 | 2020-09-24T13:53:16.000Z | 2022-03-27T04:20:40.000Z | Scripts/Miscellaneous/Research_paper_latex_parser/get_details.py | ShivangiPatel102/Python_and_the_Web | 6d3b55aef20feeda3cfff941d7bbdc26cbcc70d2 | [
"MIT"
] | 315 | 2020-09-24T18:41:19.000Z | 2022-03-07T05:53:01.000Z | from os.path import isfile, join
import re
import json
from os import listdir
import argparse
import os
from tqdm import tqdm
class essential_data:
"""
Extract essential data from the tex document.
Essential data includes - title, author, abstract, introduction, conclusions, results, acknowledgments.
... | 35.388298 | 139 | 0.589809 |
4a147b0f34248151691bd0310d1ec05c6b7a942c | 2,011 | py | Python | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_7481_glm_startvals.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 6,098 | 2015-05-22T02:46:12.000Z | 2022-03-31T16:54:51.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_7481_glm_startvals.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 2,517 | 2015-05-23T02:10:54.000Z | 2022-03-30T17:03:39.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_7481_glm_startvals.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 2,199 | 2015-05-22T04:09:55.000Z | 2022-03-28T22:20:45.000Z | import sys
sys.path.insert(1,"../../../")
import h2o
from tests import pyunit_utils
from h2o.estimators.glm import H2OGeneralizedLinearEstimator as glm
import math
# test startval to set GLM coefficients
def set_glm_startvals():
# read in the dataset and construct training set (and validation set)
d = h2o.impo... | 38.673077 | 112 | 0.662357 |
4a147b94ef9132a2a8f1e94132548ce4e533dede | 942 | py | Python | setup.py | recoded-co/django-notification | 29a98f688cd76d690228397d572fc7931f377c80 | [
"MIT"
] | 1 | 2015-08-03T12:01:26.000Z | 2015-08-03T12:01:26.000Z | setup.py | recoded-co/django-notification | 29a98f688cd76d690228397d572fc7931f377c80 | [
"MIT"
] | null | null | null | setup.py | recoded-co/django-notification | 29a98f688cd76d690228397d572fc7931f377c80 | [
"MIT"
] | 2 | 2016-03-13T01:24:23.000Z | 2020-01-08T09:08:00.000Z | from setuptools import setup, find_packages
setup(
name="django-notification",
version=__import__("notification").__version__,
description="User notification management for the Django web framework",
long_description=open("docs/usage.rst").read(),
author="James Tauber",
author_email="jtauber@j... | 31.4 | 76 | 0.646497 |
4a147ce4cccae546bbc4575def74e6a6406c1c17 | 287 | py | Python | test/telegram_bot.py | CaesiumY/movie-crawling-to-notify | d3167ed25db77e9aec3386b04a9ceaf0b46449b9 | [
"MIT"
] | 2 | 2019-09-29T11:58:57.000Z | 2019-10-14T13:48:28.000Z | test/telegram_bot.py | CaesiumY/movie-crawling-to-notify | d3167ed25db77e9aec3386b04a9ceaf0b46449b9 | [
"MIT"
] | 2 | 2019-09-29T11:42:02.000Z | 2021-06-02T00:27:38.000Z | test/telegram_bot.py | CaesiumY/movie-crawling-to-notify | d3167ed25db77e9aec3386b04a9ceaf0b46449b9 | [
"MIT"
] | null | null | null | import telegram
import json
with open('token.json') as f:
token_json = json.loads(f.read())
print(token_json["user_id"])
bot = telegram.Bot(token=token_json["token"])
for i in bot.getUpdates():
print(i.message)
bot.sendMessage(chat_id=token_json["user_id"], text="테스트 메세지")
| 19.133333 | 62 | 0.710801 |
4a147d11a520e873591eb9916de7ea51eea627dc | 105 | py | Python | openslides/saml/exceptions.py | swilde/OpenSlides | 23ae32a75892005632784652d108836d1ba09da9 | [
"MIT"
] | 3 | 2021-02-11T20:45:58.000Z | 2022-02-09T21:59:42.000Z | openslides/saml/exceptions.py | swilde/OpenSlides | 23ae32a75892005632784652d108836d1ba09da9 | [
"MIT"
] | 2 | 2021-11-02T15:48:16.000Z | 2022-03-02T08:38:19.000Z | openslides/saml/exceptions.py | swilde/OpenSlides | 23ae32a75892005632784652d108836d1ba09da9 | [
"MIT"
] | 3 | 2021-01-18T11:44:05.000Z | 2022-01-19T16:00:23.000Z | from openslides.utils.exceptions import OpenSlidesError
class SamlException(OpenSlidesError):
pass
| 17.5 | 55 | 0.828571 |
4a147dbc421038407af47e0f38700e1c3fff7106 | 336 | py | Python | blog_mocks/tests/test_function_pytest.py | ghjan/blog-projects | aa6925724e457bec276d98cf7b55b5cdaf2ab5f4 | [
"MIT"
] | 66 | 2017-11-18T06:41:39.000Z | 2021-09-02T15:47:08.000Z | blog_mocks/tests/test_function_pytest.py | ghjan/blog-projects | aa6925724e457bec276d98cf7b55b5cdaf2ab5f4 | [
"MIT"
] | 2 | 2018-05-28T14:06:05.000Z | 2020-03-21T14:05:07.000Z | blog_mocks/tests/test_function_pytest.py | ghjan/blog-projects | aa6925724e457bec276d98cf7b55b5cdaf2ab5f4 | [
"MIT"
] | 35 | 2017-11-05T23:48:15.000Z | 2021-09-15T12:15:39.000Z | from function import square, main
def test_function(monkeypatch):
monkeypatch.setattr("test_function_pytest.square", lambda x: 1)
assert square(5) == 1
def test_main_function(monkeypatch):
monkeypatch.setattr('function.square', lambda x: 1)
monkeypatch.setattr('function.cube', lambda x: 0)
asser... | 25.846154 | 67 | 0.723214 |
4a147e21ca5d1e35bb15b30d8a78e7445094da31 | 19,630 | py | Python | ironic/tests/unit/dhcp/test_neutron.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 2 | 2019-06-17T21:37:53.000Z | 2020-07-11T03:58:39.000Z | ironic/tests/unit/dhcp/test_neutron.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 5 | 2018-03-28T07:52:38.000Z | 2020-05-15T09:35:46.000Z | ironic/tests/unit/dhcp/test_neutron.py | armohamm/ironic | 21093ca886ed736a7a25bf5e71e05d41e132fd2f | [
"Apache-2.0"
] | 6 | 2019-06-13T12:49:33.000Z | 2021-04-17T16:33:19.000Z | #
# Copyright 2014 OpenStack Foundation
# 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 req... | 47.074341 | 79 | 0.590728 |
4a147e4c585afee5be812ee3f0eff97d35618dfe | 7,930 | py | Python | sdk/python/pulumi_azure_nextgen/cdn/v20200331/custom_domain.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/cdn/v20200331/custom_domain.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/cdn/v20200331/custom_domain.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__a... | 46.104651 | 761 | 0.662169 |
4a147e8d834499baa17912824fd12e7ded89187b | 48,970 | py | Python | lib/network.py | SirSevenG/electrum-komodo | a38d01baf216aad9429ac8f3707a12818c30a4a2 | [
"MIT"
] | 4 | 2019-06-21T10:22:07.000Z | 2020-01-03T16:02:48.000Z | lib/network.py | SirSevenG/electrum-komodo | a38d01baf216aad9429ac8f3707a12818c30a4a2 | [
"MIT"
] | 28 | 2019-07-24T12:37:44.000Z | 2020-10-12T11:21:28.000Z | lib/network.py | SirSevenG/electrum-komodo | a38d01baf216aad9429ac8f3707a12818c30a4a2 | [
"MIT"
] | 9 | 2019-09-13T08:04:44.000Z | 2020-09-17T01:19:23.000Z | # Electrum - Lightweight Bitcoin Client
# Copyright (c) 2011-2016 Thomas Voegtlin
#
# 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 rig... | 40.639004 | 138 | 0.589483 |
4a147ea590c84a2f6744dcd5ce30d49eae009770 | 4,099 | py | Python | run_inference2.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | null | null | null | run_inference2.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2019-08-16T07:09:22.000Z | 2019-09-04T04:59:51.000Z | run_inference2.py | xdr940/cc | a98fe9b6c33c332a4c399f968032a90989c55672 | [
"MIT"
] | 1 | 2020-01-13T04:51:22.000Z | 2020-01-13T04:51:22.000Z | import torch
from scipy.misc import imread, imsave, imresize
import matplotlib.pyplot as plt
import numpy as np
from path import Path
import argparse
from tqdm import tqdm
from models import DispResNet6
from utils import tensor2array
parser = argparse.ArgumentParser(description='Inference script for DispNet learned ... | 39.413462 | 147 | 0.655038 |
4a147f653cdef05e2844bfeee5e3dadf8e21f95d | 8,312 | py | Python | examples/microjson/mutants/CRP_Num_mutant_1486201315.py | Anirban166/tstl | 73dac02f084b10e1bf2f172a5d1306bb5fbd7f7e | [
"Apache-2.0"
] | 90 | 2015-04-07T10:26:53.000Z | 2022-03-07T15:14:57.000Z | examples/microjson/mutants/CRP_Num_mutant_1486201315.py | Anirban166/tstl | 73dac02f084b10e1bf2f172a5d1306bb5fbd7f7e | [
"Apache-2.0"
] | 14 | 2015-10-13T16:25:59.000Z | 2021-01-21T18:31:03.000Z | examples/microjson/mutants/CRP_Num_mutant_1486201315.py | Anirban166/tstl | 73dac02f084b10e1bf2f172a5d1306bb5fbd7f7e | [
"Apache-2.0"
] | 32 | 2015-04-07T10:41:29.000Z | 2022-02-26T05:17:28.000Z | import math
import StringIO
import types
__pychecker__ = 'no-returnvalues'
WS = set([' ', '\t', '\r', '\n', '\x08', '\x0c'])
DIGITS = set([str(i) for i in range(0, 10)])
NUMSTART = DIGITS.union(['.', '-', '+'])
NUMCHARS = NUMSTART.union(['e', 'E'])
ESC_MAP = {'n': '\n', 't': '\t', 'r': '\r', 'b': '\x08', 'f': '\x0c'}
R... | 27.892617 | 178 | 0.526347 |
4a14804bf28530d98c3ac1af5cb19040d02eacb1 | 13,481 | py | Python | SpatialRelationCNN/model/weight_decay_optimizers.py | ICRA-2018/generalize_spatial_relations | 6a87e987848426da757e0add595e3ec035956f01 | [
"Apache-2.0"
] | 17 | 2018-04-19T14:38:19.000Z | 2021-12-27T10:33:20.000Z | SpatialRelationCNN/model/weight_decay_optimizers.py | ICRA-2018/generalize_spatial_relations | 6a87e987848426da757e0add595e3ec035956f01 | [
"Apache-2.0"
] | null | null | null | SpatialRelationCNN/model/weight_decay_optimizers.py | ICRA-2018/generalize_spatial_relations | 6a87e987848426da757e0add595e3ec035956f01 | [
"Apache-2.0"
] | 7 | 2018-06-03T15:00:10.000Z | 2020-05-17T07:06:29.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 45.390572 | 80 | 0.744158 |
4a14817d75ffa275c9efdb4609cffe3542e7e01a | 845 | py | Python | integration_tests/verify_marketupdate.py | PeregrineTradersDevTeam/md-data-reader-euronext | ecef156b50defb24e64cc3bbabf6b26071ed05d7 | [
"MIT"
] | 3 | 2020-01-08T09:44:52.000Z | 2022-03-02T02:16:24.000Z | integration_tests/verify_marketupdate.py | PeregrineTradersDevTeam/md-data-reader-euronext | ecef156b50defb24e64cc3bbabf6b26071ed05d7 | [
"MIT"
] | null | null | null | integration_tests/verify_marketupdate.py | PeregrineTradersDevTeam/md-data-reader-euronext | ecef156b50defb24e64cc3bbabf6b26071ed05d7 | [
"MIT"
] | 1 | 2020-05-09T06:31:38.000Z | 2020-05-09T06:31:38.000Z | from test_util import build_parquet_data, verify_datasets
import sys
official_application = sys.argv[1]
official_files_location = sys.argv[2]
cmdline_params = ["-p",
"MarketUpdate-for-test",
"-o",
"1001",
official_files_location + "/20190104/084500/224.0.67.193_21193.pcap.gz"]
print("Building Mar... | 30.178571 | 116 | 0.726627 |
4a1481c26e3db15603cd41568b827d824b5eeaa8 | 4,644 | py | Python | mscreen/autodocktools_prepare_py3k/mglutil/util/recentFiles.py | e-mayo/mscreen | a50f0b2f7104007c730baa51b4ec65c891008c47 | [
"MIT"
] | 9 | 2021-03-06T04:24:28.000Z | 2022-01-03T09:53:07.000Z | mglutil/util/recentFiles.py | e-mayo/autodocktools-prepare-py3k | 2dd2316837bcb7c19384294443b2855e5ccd3e01 | [
"BSD-3-Clause"
] | 3 | 2021-03-07T05:37:16.000Z | 2021-09-19T15:06:54.000Z | mglutil/util/recentFiles.py | e-mayo/autodocktools-prepare-py3k | 2dd2316837bcb7c19384294443b2855e5ccd3e01 | [
"BSD-3-Clause"
] | 4 | 2019-08-28T23:11:39.000Z | 2021-11-27T08:43:36.000Z | """Impements Recent Files menues"""
# $Header: /opt/cvs/python/packages/share1.5/mglutil/util/recentFiles.py,v 1.16 2010/10/05 17:25:40 sargis Exp $
#
# $Id: recentFiles.py,v 1.16 2010/10/05 17:25:40 sargis Exp $
import os, pickle
from mglutil.util.packageFilePath import getResourceFolderWithVersion
import tkinter
cla... | 45.087379 | 112 | 0.580319 |
4a1482e6f824f3d8e3d71ed2216846161e475ba1 | 11,500 | py | Python | p-jonczyk/process_control.py | p-jonczyk/q-seleniumbase | f7c86df9c04ed4dd9e0c2e37708a40cf5ac08831 | [
"MIT"
] | null | null | null | p-jonczyk/process_control.py | p-jonczyk/q-seleniumbase | f7c86df9c04ed4dd9e0c2e37708a40cf5ac08831 | [
"MIT"
] | null | null | null | p-jonczyk/process_control.py | p-jonczyk/q-seleniumbase | f7c86df9c04ed4dd9e0c2e37708a40cf5ac08831 | [
"MIT"
] | null | null | null | '''This test suite contains 9 passing tests. '''
import pytest
from seleniumbase import BaseCase
from basic_methods import BasicMethods as bm
import config
import constants as const
import time
class TestProcessContol(BaseCase):
def set_process_control_starting_point(self, single_control=False, multip... | 47.916667 | 150 | 0.701217 |
4a148443a69236617744aec763239d0055451099 | 10,559 | py | Python | linear_algebra/matrix.py | Vincentiuzs/linear_algebra | 4e2ec58a0fca01122bc7c845b12202e154b7bcdd | [
"MIT"
] | null | null | null | linear_algebra/matrix.py | Vincentiuzs/linear_algebra | 4e2ec58a0fca01122bc7c845b12202e154b7bcdd | [
"MIT"
] | null | null | null | linear_algebra/matrix.py | Vincentiuzs/linear_algebra | 4e2ec58a0fca01122bc7c845b12202e154b7bcdd | [
"MIT"
] | null | null | null | from collections import Counter
class Matrix:
"""A (p \u00D7 q) matrix."""
def __init__(self, array):
# Check if the array is a valid matrix and
# raise errors/exceptions if invalid
self._isValid(array)
self.matrix = array
# size of the matrix: p x q
self.p,... | 32.192073 | 118 | 0.509044 |
4a1485110bb37756ff6f472f2c719255774609a7 | 669 | py | Python | techlibs/ice40/brams_init.py | kallisti5/yosys | 0b9bb852c66ec2a6e9b4b510b3e2e32b8c6a6b16 | [
"ISC"
] | 1,718 | 2018-01-06T15:16:30.000Z | 2022-03-30T17:44:22.000Z | techlibs/ice40/brams_init.py | kallisti5/yosys | 0b9bb852c66ec2a6e9b4b510b3e2e32b8c6a6b16 | [
"ISC"
] | 1,669 | 2018-01-06T22:57:24.000Z | 2022-03-31T06:51:49.000Z | techlibs/ice40/brams_init.py | kallisti5/yosys | 0b9bb852c66ec2a6e9b4b510b3e2e32b8c6a6b16 | [
"ISC"
] | 569 | 2018-01-19T01:51:14.000Z | 2022-03-31T23:03:09.000Z | #!/usr/bin/env python3
def write_init_vh(filename, initbits):
with open(filename, "w") as f:
for i in range(16):
print("localparam [255:0] INIT_%X = {" % i, file=f)
for k in range(32):
print(" %s%s" % (", ".join(["INIT[%4d]" % initbits[i*256 + 255 - k*8 - l] for l i... | 44.6 | 144 | 0.569507 |
4a148562a7fb5bddc0570ac147c49fd034558af2 | 4,843 | py | Python | wireshark-2.0.13/tools/dftestlib/integer.py | mahrukhfida/mi | 7187765aa225e71983969ef5285771ac77c8309a | [
"Apache-2.0"
] | null | null | null | wireshark-2.0.13/tools/dftestlib/integer.py | mahrukhfida/mi | 7187765aa225e71983969ef5285771ac77c8309a | [
"Apache-2.0"
] | null | null | null | wireshark-2.0.13/tools/dftestlib/integer.py | mahrukhfida/mi | 7187765aa225e71983969ef5285771ac77c8309a | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 by Gilbert Ramirez <gram@alumni.rice.edu>
#
# This program 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 version.
#
# Thi... | 29.351515 | 79 | 0.640099 |
4a14859346ef76ac19a52d81f3b3ec08a46bc032 | 1,403 | py | Python | pcat2py/class/21ba0f12-5cc5-11e4-af55-00155d01fe08.py | phnomcobra/PCAT2PY | 937c3b365cdc5ac69b78f59070be0a21bdb53db0 | [
"MIT"
] | null | null | null | pcat2py/class/21ba0f12-5cc5-11e4-af55-00155d01fe08.py | phnomcobra/PCAT2PY | 937c3b365cdc5ac69b78f59070be0a21bdb53db0 | [
"MIT"
] | null | null | null | pcat2py/class/21ba0f12-5cc5-11e4-af55-00155d01fe08.py | phnomcobra/PCAT2PY | 937c3b365cdc5ac69b78f59070be0a21bdb53db0 | [
"MIT"
] | null | null | null | #!/usr/bin/python
################################################################################
# 21ba0f12-5cc5-11e4-af55-00155d01fe08
#
# Justin Dierking
# justindierking@hardbitsolutions.com
# phnomcobra@gmail.com
#
# 10/24/2014 Original Construction
################################################################... | 36.921053 | 154 | 0.602994 |
4a1485f7be7bd93d0d754df6a082d1122c3063bc | 19,105 | py | Python | acrv_modified_clones/image_pipeline/camera_calibration/nodes/cameracalibrator.py | myalfred03/team_acrv_2017 | 9d3a28b4069262291fd28990676b69e90b06ac3a | [
"BSD-3-Clause"
] | 25 | 2017-11-24T19:04:51.000Z | 2020-08-27T06:25:49.000Z | acrv_modified_clones/image_pipeline/camera_calibration/nodes/cameracalibrator.py | myalfred03/team_acrv_2017 | 9d3a28b4069262291fd28990676b69e90b06ac3a | [
"BSD-3-Clause"
] | 3 | 2018-10-03T06:44:06.000Z | 2018-11-07T14:53:58.000Z | acrv_modified_clones/image_pipeline/camera_calibration/nodes/cameracalibrator.py | myalfred03/team_acrv_2017 | 9d3a28b4069262291fd28990676b69e90b06ac3a | [
"BSD-3-Clause"
] | 16 | 2017-12-24T14:19:08.000Z | 2021-07-14T13:34:51.000Z | #!/usr/bin/python
#
# Software License Agreement (BSD License)
#
# Copyright (c) 2009, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code m... | 40.82265 | 120 | 0.599948 |
4a148677ac93716db5f97f879b5ba4d836cf06fc | 1,029 | py | Python | src/pyrin/database/migration/alembic/handlers/stamp.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | src/pyrin/database/migration/alembic/handlers/stamp.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | src/pyrin/database/migration/alembic/handlers/stamp.py | wilsonGmn/pyrin | 25dbe3ce17e80a43eee7cfc7140b4c268a6948e0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
alembic handlers stamp module.
"""
from pyrin.database.migration.alembic.enumerations import AlembicCLIHandlersEnum
from pyrin.database.migration.alembic.interface import AlembicCLIHandlerBase
from pyrin.database.migration.alembic.decorators import alembic_cli_handler
from pyrin.database.mi... | 27.810811 | 82 | 0.691934 |
4a14868037d7354f128b26e63200ae65de25c9c5 | 934 | py | Python | examples/make_al_like_dislike_folders.py | Vikash-Kothary/tindetheus | 6505c4cccf4edc9eec3e3e2b8ff833f25c3f19f0 | [
"MIT"
] | 86 | 2018-03-13T04:43:53.000Z | 2022-02-16T07:03:23.000Z | examples/make_al_like_dislike_folders.py | own2pwn/tindetheus | 065eab368ae2ab0a29a467a33c13e0133044a344 | [
"MIT"
] | 50 | 2018-03-14T22:28:47.000Z | 2021-09-03T17:22:56.000Z | examples/make_al_like_dislike_folders.py | own2pwn/tindetheus | 065eab368ae2ab0a29a467a33c13e0133044a344 | [
"MIT"
] | 27 | 2018-01-30T07:13:44.000Z | 2021-12-10T18:40:48.000Z | import shutil
import os
import numpy as np
# This script is what tindetheus like_folder does
def al_copy_images(image_list, userID, didILike, database_str='al/'):
# move images from temp folder to database
if didILike == 'Like':
fname = 'like/'
else:
fname = 'dislike/'
count = 0
... | 23.35 | 69 | 0.66167 |
4a1486df1d893446ca5ee910fd2070d74dfa3b43 | 211 | py | Python | test/simple_source/stmts/10_if_break_finally.py | gauravssnl/python-uncompyle6 | 136f42a610c0701e0770c1c278efd1107b1c6ed1 | [
"MIT"
] | 1 | 2021-03-24T11:54:03.000Z | 2021-03-24T11:54:03.000Z | test/simple_source/stmts/10_if_break_finally.py | gauravssnl/python-uncompyle6 | 136f42a610c0701e0770c1c278efd1107b1c6ed1 | [
"MIT"
] | null | null | null | test/simple_source/stmts/10_if_break_finally.py | gauravssnl/python-uncompyle6 | 136f42a610c0701e0770c1c278efd1107b1c6ed1 | [
"MIT"
] | null | null | null | # Tests
# while1stmt ::= SETUP_LOOP l_stmts JUMP_BACK POP_BLOCK COME_FROM
# tryfinallystmt ::= SETUP_FINALLY suite_stmts_opt POP_BLOCK
try:
while 1:
if __file__:
break
finally:
pass
| 19.181818 | 65 | 0.687204 |
4a1487903a2ceec92d9a5c7b1397d50e94eef0c6 | 211 | py | Python | server/app/__init__.py | abhishekg785/hiro | 950224d07797740b8840316bb412c1827eab46f0 | [
"MIT"
] | 7 | 2017-04-12T10:58:42.000Z | 2021-10-03T18:07:29.000Z | server/app/__init__.py | abhishekg785/hiro | 950224d07797740b8840316bb412c1827eab46f0 | [
"MIT"
] | null | null | null | server/app/__init__.py | abhishekg785/hiro | 950224d07797740b8840316bb412c1827eab46f0 | [
"MIT"
] | 5 | 2017-07-06T12:28:10.000Z | 2020-01-07T19:45:25.000Z | # creating the app package
from flask import Flask
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
# imported at the bottom as the views.py needs the object app
from app import views | 21.1 | 61 | 0.78673 |
4a14886234d7fb18a876e55e74d910c4760f26d4 | 8,944 | py | Python | where/estimation/estimators/cpwl.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 16 | 2018-08-31T10:31:11.000Z | 2022-03-15T16:07:24.000Z | where/estimation/estimators/cpwl.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 5 | 2018-07-13T14:04:24.000Z | 2021-06-17T02:14:44.000Z | where/estimation/estimators/cpwl.py | ingridfausk/where | b65398911075b7ddef3a3a1146efa428eae498fe | [
"MIT"
] | 15 | 2018-06-07T05:45:24.000Z | 2022-03-15T16:07:27.000Z | """Continuous PieceWise Linear estimator
Description:
------------
"""
# External library imports
import numpy as np
import scipy.sparse
# Midgard imports
from midgard.dev import plugins
from midgard.math.unit import Unit
# Where imports
from where import apriori
from where.estimation.estimators._kalman import Kal... | 43.843137 | 117 | 0.614155 |
4a1488fa9c36c681e14ed807b0df8cde371d62fa | 293 | py | Python | jaraco/windows/__init__.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 21 | 2016-01-31T00:58:59.000Z | 2021-05-06T22:30:56.000Z | jaraco/windows/__init__.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 14 | 2016-07-21T12:02:08.000Z | 2021-08-06T03:07:54.000Z | jaraco/windows/__init__.py | jaraco/jaraco.windows | e858172b4d5ee91233a8cc5319de99f17848f090 | [
"MIT"
] | 5 | 2016-06-14T04:57:04.000Z | 2021-05-06T22:30:57.000Z | #!/usr/bin/env python
# $Id$
"""
jaraco.windows
A lightweight wrapper to provide a pythonic API to the Windows Platform.
This package attempts to provide interfaces similar or compatible
with Mark Hammond's pywin32 library, but avoids the use of extension
modules by utilizing ctypes.
"""
| 20.928571 | 72 | 0.774744 |
4a148a7bd1b4751a65f4e6dbe88632417b90f963 | 802 | gyp | Python | binding.gyp | hxfdarling/Clipboard | 439ace0787246dfb747b6c8aefba62c95ed87629 | [
"MIT"
] | 1 | 2018-06-08T23:39:07.000Z | 2018-06-08T23:39:07.000Z | binding.gyp | hxfdarling/clipboard | 439ace0787246dfb747b6c8aefba62c95ed87629 | [
"MIT"
] | null | null | null | binding.gyp | hxfdarling/clipboard | 439ace0787246dfb747b6c8aefba62c95ed87629 | [
"MIT"
] | null | null | null | {
"targets": [{
"target_name": "binding",
"sources": [
"src/main.cc"
],
"conditions": [
['OS=="mac"',
{
"sources":[
"src/clip_osx.h",
"src/clip_osx.mm"
],
'defines': [
'__MACOSX_CORE__',
'__MAC__'
],
'link_settings': {
... | 16.367347 | 41 | 0.374065 |
4a148a9d1f3713cc1ecf4f78622f6541e8b63dac | 1,481 | py | Python | setup.py | d0m1987/ping_pong_paradox | e6e37a6e123a817b8a59a9c53c3a84eaca73d28f | [
"MIT"
] | null | null | null | setup.py | d0m1987/ping_pong_paradox | e6e37a6e123a817b8a59a9c53c3a84eaca73d28f | [
"MIT"
] | null | null | null | setup.py | d0m1987/ping_pong_paradox | e6e37a6e123a817b8a59a9c53c3a84eaca73d28f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ['Click==8.0.4', 'pygame==2.1.2']
test_requirements = ['pytes... | 29.62 | 81 | 0.643484 |
4a148b103fbb08e4c1bbac073bff65e46892aed0 | 1,163 | py | Python | data/sampler.py | zhaofang0627/HPBTT | 98cec9ff4ef95a01393718b024e9645e77fb70ee | [
"MIT"
] | 35 | 2020-11-11T11:43:57.000Z | 2021-10-15T05:00:29.000Z | data/sampler.py | zhaofang0627/HPBTT | 98cec9ff4ef95a01393718b024e9645e77fb70ee | [
"MIT"
] | 4 | 2020-12-05T14:33:42.000Z | 2021-07-21T21:24:29.000Z | data/sampler.py | zhaofang0627/HPBTT | 98cec9ff4ef95a01393718b024e9645e77fb70ee | [
"MIT"
] | 6 | 2020-11-12T07:01:03.000Z | 2022-03-27T19:25:05.000Z | from __future__ import absolute_import
from collections import defaultdict
import numpy as np
import torch
from torch.utils.data.sampler import (
Sampler, SequentialSampler, RandomSampler, SubsetRandomSampler,
WeightedRandomSampler)
class RandomIdentitySampler(Sampler):
def __init__(self, data_source, nu... | 32.305556 | 79 | 0.642304 |
4a148ba2ddd8437920661cac9409a0cf1384ce4b | 1,213 | py | Python | version.py | abdullahcheema63/zulip | 12474a3deb5f898009fccba3d43299ca1660015b | [
"Apache-2.0"
] | null | null | null | version.py | abdullahcheema63/zulip | 12474a3deb5f898009fccba3d43299ca1660015b | [
"Apache-2.0"
] | null | null | null | version.py | abdullahcheema63/zulip | 12474a3deb5f898009fccba3d43299ca1660015b | [
"Apache-2.0"
] | null | null | null | import os
ZULIP_VERSION = "2.2.dev+git"
# Add information on number of commits and commit hash to version, if available
zulip_git_version_file = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'zulip-git-version')
if os.path.exists(zulip_git_version_file):
with open(zulip_git_version_file) as f:
v... | 39.129032 | 102 | 0.755153 |
4a148ba43651d62f2d0593642c738e4024e3b059 | 3,581 | py | Python | EXAMPLES/12d_flex_mani/run_apo_flex_mani_ekdmd.py | Jimmy-INL/SKDMD | 9f84cd2b7af6fdc6eb7740a12370a9bf30fb5bbb | [
"MIT"
] | 1 | 2020-11-27T17:10:24.000Z | 2020-11-27T17:10:24.000Z | EXAMPLES/12d_flex_mani/run_apo_flex_mani_ekdmd.py | Jimmy-INL/SKDMD | 9f84cd2b7af6fdc6eb7740a12370a9bf30fb5bbb | [
"MIT"
] | null | null | null | EXAMPLES/12d_flex_mani/run_apo_flex_mani_ekdmd.py | Jimmy-INL/SKDMD | 9f84cd2b7af6fdc6eb7740a12370a9bf30fb5bbb | [
"MIT"
] | null | null | null | import numpy as np
import sys
sys.dont_write_bytecode = True
sys.path.append('../../EVAL_SRC')
from main_apo import ClassModelEDMD
from main_apo import ClassApoEval
# Options
selected_modes_flag = True
truncation_threshold = 1e-3
def main(case, noise_level, model_list, num_cut_of_plt, normalize_phi_tilde, max_ite... | 41.639535 | 131 | 0.597319 |
4a148bd3d2b740a30f5b42d6d72b7958b3617c60 | 42 | py | Python | pyble/const/characteristic/blood_pressure_feature.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 14 | 2015-03-30T23:11:36.000Z | 2020-04-07T00:57:12.000Z | pyble/const/characteristic/blood_pressure_feature.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 3 | 2016-05-17T06:11:07.000Z | 2017-05-15T16:43:09.000Z | pyble/const/characteristic/blood_pressure_feature.py | bgromov/PyBLEWrapper | 8a5d016e65b3c259391ddc97c371ab4b1b5c61b5 | [
"MIT"
] | 11 | 2016-03-11T08:53:03.000Z | 2019-03-11T21:32:13.000Z | NAME="Blood Pressure Feature"
UUID=0x2A49
| 14 | 29 | 0.809524 |
4a148be8db936cde6cf8503da547834e7849752e | 29,506 | py | Python | tlslite/handshakesettings.py | rajdroid/tlslite-ng | 80d5c2feab434058882a4b46b7cb41f3d718a4a4 | [
"Unlicense"
] | 9 | 2020-10-16T15:24:58.000Z | 2021-11-16T23:56:18.000Z | tlslite/handshakesettings.py | rajdroid/tlslite-ng | 80d5c2feab434058882a4b46b7cb41f3d718a4a4 | [
"Unlicense"
] | null | null | null | tlslite/handshakesettings.py | rajdroid/tlslite-ng | 80d5c2feab434058882a4b46b7cb41f3d718a4a4 | [
"Unlicense"
] | 4 | 2020-10-22T09:32:07.000Z | 2021-02-18T05:54:17.000Z | # Authors:
# Trevor Perrin
# Dave Baggett (Arcode Corporation) - cleanup handling of constants
# Yngve Pettersen (ported by Paul Sokolovsky) - TLS 1.2
#
# See the LICENSE file for legal information regarding use of this file.
"""Class for setting handshake parameters."""
from .constants import CertificateType
f... | 41.094708 | 83 | 0.650681 |
4a148cb0e5199b0472abc4bbe903832a446ceb4c | 823 | py | Python | monitor/main.py | polytechnique-ease/blockcompass | 1aa8cb52b43e6e860a141df276dc92a69b2e1315 | [
"MIT"
] | null | null | null | monitor/main.py | polytechnique-ease/blockcompass | 1aa8cb52b43e6e860a141df276dc92a69b2e1315 | [
"MIT"
] | null | null | null | monitor/main.py | polytechnique-ease/blockcompass | 1aa8cb52b43e6e860a141df276dc92a69b2e1315 | [
"MIT"
] | 1 | 2022-03-21T05:09:00.000Z | 2022-03-21T05:09:00.000Z | from dockerMonitoring import DockerMonitoring
from mongoDB import MongoDB
from settings import Settings
import time
def main():
settings = Settings("../configuration/blockchain.yaml")
settings.import_setting(10)
database = MongoDB(settings.connection_string)
docker_monitor = DockerMonitoring(database, ... | 31.653846 | 81 | 0.688943 |
4a148cfb94c811bddfa90f351e43a1dceb4d08ac | 369 | py | Python | onnx_tf/handlers/backend/softsign.py | malisit/onnx-tensorflow | 3eb41dc923f350ca533f1024f602a842dd55de45 | [
"Apache-2.0"
] | 1,110 | 2017-11-13T19:34:24.000Z | 2022-03-29T09:14:56.000Z | onnx_tf/handlers/backend/softsign.py | malisit/onnx-tensorflow | 3eb41dc923f350ca533f1024f602a842dd55de45 | [
"Apache-2.0"
] | 768 | 2017-11-17T00:06:27.000Z | 2022-03-31T20:20:09.000Z | onnx_tf/handlers/backend/softsign.py | malisit/onnx-tensorflow | 3eb41dc923f350ca533f1024f602a842dd55de45 | [
"Apache-2.0"
] | 281 | 2017-11-16T19:56:17.000Z | 2022-03-28T06:25:33.000Z | import tensorflow as tf
from onnx_tf.handlers.backend_handler import BackendHandler
from onnx_tf.handlers.handler import onnx_op
from onnx_tf.handlers.handler import tf_func
@onnx_op("Softsign")
@tf_func(tf.nn.softsign)
class Softsign(BackendHandler):
@classmethod
def version_1(cls, node, **kwargs):
return ... | 24.6 | 59 | 0.796748 |
4a148d052e73866fc4dac9ca6905efd1b7b61058 | 28,738 | py | Python | python_modules/dagster/dagster/check/__init__.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/check/__init__.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/check/__init__.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | null | null | null | import inspect
import sys
from typing import Any, Callable, Dict, Generator, List, Optional, Set, Tuple, Union
from future.utils import raise_with_traceback
Type = Union[type, Tuple[type, ...]]
Numeric = Union[int, float]
class CheckError(Exception):
pass
class ParameterCheckError(CheckError):
pass
clas... | 32.656818 | 100 | 0.63637 |
4a148d2ad40bb10c8688d21dbeeb44494c9db3d4 | 6,045 | py | Python | generator.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | generator.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | generator.py | Chen-Yifan/DEM_building_segmentation | 1e9a41e87ec0ab1777a65146c5b31d88938480b7 | [
"MIT"
] | null | null | null | from keras.preprocessing.image import ImageDataGenerator
import numpy as np
import cv2
#from scipy.misc import imresize
import os
import random
# def trainvalGenerator(train_frame_path, train_mask_path, val_frame_path, val_mask_path, BATCH_SIZE):
# train_datagen = ImageDataGenerator(
# rescale=1./300,
... | 38.503185 | 102 | 0.640199 |
4a148d9bac903fafda0ce1ac2dfa6b8b3be3a9b4 | 1,592 | py | Python | CUT_MoNCE/models/sinkhorn.py | fnzhan/MoNCE | c534307800664660d32813395c9577276ef196ee | [
"MIT"
] | 4 | 2021-11-13T17:48:04.000Z | 2022-03-23T06:41:06.000Z | CUT_MoNCE/models/sinkhorn.py | fnzhan/MoNCE | c534307800664660d32813395c9577276ef196ee | [
"MIT"
] | null | null | null | CUT_MoNCE/models/sinkhorn.py | fnzhan/MoNCE | c534307800664660d32813395c9577276ef196ee | [
"MIT"
] | 2 | 2022-03-20T04:55:28.000Z | 2022-03-20T13:44:55.000Z | # -*- coding: utf-8 -*-
from packaging import version
import torch
def sinkhorn(dot, max_iter=100):
"""
dot: n x in_size x out_size
mask: n x in_size
output: n x in_size x out_size
"""
n, in_size, out_size = dot.shape
K = dot
# K: n x in_size x out_size
u = K.new_ones((n, in_size))... | 27.929825 | 105 | 0.593593 |
4a148eb152a97d9cd997207086bfd133fe7ede98 | 12,152 | py | Python | thermostat_nw/columns.py | hshaban/epathermostat_nw | 6fec9402484e1ef7e4e59e2c679d9a8efee99ad6 | [
"MIT"
] | null | null | null | thermostat_nw/columns.py | hshaban/epathermostat_nw | 6fec9402484e1ef7e4e59e2c679d9a8efee99ad6 | [
"MIT"
] | null | null | null | thermostat_nw/columns.py | hshaban/epathermostat_nw | 6fec9402484e1ef7e4e59e2c679d9a8efee99ad6 | [
"MIT"
] | null | null | null | RHU_COLUMNS = [
"rhu1_00F_to_05F",
"rhu1_05F_to_10F",
"rhu1_10F_to_15F",
"rhu1_15F_to_20F",
"rhu1_20F_to_25F",
"rhu1_25F_to_30F",
"rhu1_30F_to_35F",
"rhu1_35F_to_40F",
"rhu1_40F_to_45F",
"rhu1_45F_to_50F",
"rhu1_50F_to_55F",
"rhu1_55F_to_60F",
"rhu1_30F_to_45F",
"... | 34.819484 | 72 | 0.758476 |
4a148ecefdf30bed99e90b8773c92bb221d2a96e | 1,825 | py | Python | venv/Lib/site-packages/cryptography/hazmat/primitives/cmac.py | gilbertekalea/booking.com_crawler | 71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae | [
"MIT"
] | 7 | 2022-03-10T07:03:14.000Z | 2022-03-24T09:42:46.000Z | venv/Lib/site-packages/cryptography/hazmat/primitives/cmac.py | gilbertekalea/booking.com_crawler | 71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae | [
"MIT"
] | 66 | 2020-12-14T21:01:55.000Z | 2022-03-30T22:09:34.000Z | venv/Lib/site-packages/cryptography/hazmat/primitives/cmac.py | gilbertekalea/booking.com_crawler | 71e52c87cd72a77f80a3e5fc0af0e1a68a5712ae | [
"MIT"
] | 1 | 2022-03-10T07:15:54.000Z | 2022-03-10T07:15:54.000Z | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
import typing
from cryptography import utils
from cryptography.exceptions import (
AlreadyFinalized,
)
from cryptography.hazmat.primi... | 29.918033 | 79 | 0.639452 |
4a148f93a76ef9276011cf3e165a4a22de16d62a | 2,340 | py | Python | bedrock/engine.py | openmednlp/bedrock | fdacbad92d59f27650eab1753fa694f90863b43e | [
"MIT"
] | 2 | 2019-04-28T23:14:31.000Z | 2019-05-19T08:00:28.000Z | bedrock/engine.py | openmednlp/bedrock | fdacbad92d59f27650eab1753fa694f90863b43e | [
"MIT"
] | 5 | 2019-02-11T14:50:59.000Z | 2021-09-29T17:28:23.000Z | bedrock/engine.py | openmednlp/bedrock | fdacbad92d59f27650eab1753fa694f90863b43e | [
"MIT"
] | 1 | 2020-04-18T08:48:32.000Z | 2020-04-18T08:48:32.000Z | from bedrock.doc.doc import Doc
from bedrock.doc.relation import Relation
from typing import List
from bedrock.tagger.tagger import Tagger
from bedrock.annotator.annotator import Annotator
class ProcessingEngine:
def __init__(self, tagger: Tagger = None, annotators: List[Annotator] = None,
post_... | 44.150943 | 99 | 0.613675 |
4a148fb0222f48f6856007e9054317bcfd5df581 | 986 | py | Python | pyravendb/tests/jvm_migrated_tests/test_what_changed.py | poissoncorp/ravendb-python-client | 5003127e6aa6897ab957d73f494b9cbcf9362bf9 | [
"MIT"
] | null | null | null | pyravendb/tests/jvm_migrated_tests/test_what_changed.py | poissoncorp/ravendb-python-client | 5003127e6aa6897ab957d73f494b9cbcf9362bf9 | [
"MIT"
] | null | null | null | pyravendb/tests/jvm_migrated_tests/test_what_changed.py | poissoncorp/ravendb-python-client | 5003127e6aa6897ab957d73f494b9cbcf9362bf9 | [
"MIT"
] | null | null | null | from pyravendb.tests.test_base import TestBase, User
class TestWhatChanged(TestBase):
def setUp(self):
super(TestWhatChanged, self).setUp()
def test_has_changes(self):
with self.store.open_session() as session:
user1 = User("user1", None)
user2 = User("user2", 1)
... | 30.8125 | 69 | 0.628803 |
4a1491c5bed72ce32dbc7e41aaa11c775c1cf54a | 52 | py | Python | tests/components/trafikverket_ferry/__init__.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | tests/components/trafikverket_ferry/__init__.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | tests/components/trafikverket_ferry/__init__.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Tests for the Trafikverket Ferry integration."""
| 26 | 51 | 0.75 |
4a1492362aa501682e511ab7dff399491748bd22 | 471 | py | Python | py_scr/direct_1_test.py | maanjum95/VHDL_System_Design_Lab | 4b452d37c4f6eba9fd31e2cf80bd4202fc5f4940 | [
"MIT"
] | 1 | 2021-11-19T19:58:32.000Z | 2021-11-19T19:58:32.000Z | py_scr/direct_1_test.py | maanjum95/VHDL_System_Design_Lab | 4b452d37c4f6eba9fd31e2cf80bd4202fc5f4940 | [
"MIT"
] | null | null | null | py_scr/direct_1_test.py | maanjum95/VHDL_System_Design_Lab | 4b452d37c4f6eba9fd31e2cf80bd4202fc5f4940 | [
"MIT"
] | 1 | 2021-11-26T23:41:12.000Z | 2021-11-26T23:41:12.000Z |
def low_high(a, b):
if a == 0:
a = 2**16
if b == 0:
b = 2**16
ab = a * b
mod_to = 2**16 + 1
print("Actual result", ab, "to", ab % mod_to)
ab_mod = ab % 2**16
ab_div = ab // 2**16
result = ab_mod - ab_div
if ab_mod < ab_div:
result += 2**16 + 1
print("Result", result, "{0:16b}".format(res... | 15.193548 | 56 | 0.549894 |
4a1492ca70f206690e8a5025d5c7c1943fa5c446 | 30,907 | py | Python | methodologist/methodologist.py | atkindel/methodologist | f79c9c6bedf27643db41b8de8081c464c893411e | [
"MIT"
] | null | null | null | methodologist/methodologist.py | atkindel/methodologist | f79c9c6bedf27643db41b8de8081c464c893411e | [
"MIT"
] | null | null | null | methodologist/methodologist.py | atkindel/methodologist | f79c9c6bedf27643db41b8de8081c464c893411e | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3
#
# methodologist.py
# Functions for static lexical analysis over economists' code.
# Uses Pygments, which miraculously has lexers for everything (except SPSS)!
#
# Author: Alex Kindel
# Last edited: 11 March 2018
import sys
from collections import defaultdict, Counter
from rpy2 import robjec... | 67.043384 | 7,111 | 0.629469 |
4a1494b160ab316493ffe8add452445f9570ff25 | 1,304 | py | Python | 037. Sudoku Solver.py | youhusky/Facebook_Prepare | 4045bcb652537711b3680b2aa17204ae73c6bde8 | [
"MIT"
] | 6 | 2017-10-30T05:35:46.000Z | 2020-12-15T06:51:52.000Z | 037. Sudoku Solver.py | youhusky/Facebook_Prepare | 4045bcb652537711b3680b2aa17204ae73c6bde8 | [
"MIT"
] | 1 | 2017-10-30T04:11:31.000Z | 2017-10-30T05:46:24.000Z | 037. Sudoku Solver.py | youhusky/Facebook_Prepare | 4045bcb652537711b3680b2aa17204ae73c6bde8 | [
"MIT"
] | 2 | 2020-09-03T07:14:02.000Z | 2021-05-21T19:19:57.000Z | # class Solution:
# @param board, a 9x9 2D array
# Solve the Sudoku by modifying the input board in-place.
# Do not return any value.
def solveSudoku(self, board):
def isValid(board, x, y):
for i in xrange(9):
if i != x and board[i][y] == board[x][y]:
... | 37.257143 | 73 | 0.365798 |
4a1494eef4053a1522d82d07a4591a38a2b1717b | 1,962 | py | Python | Bio/EUtils/setup.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | 3 | 2017-10-23T21:53:57.000Z | 2019-09-23T05:14:12.000Z | Bio/EUtils/setup.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | null | null | null | Bio/EUtils/setup.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | 1 | 2019-08-19T22:05:14.000Z | 2019-08-19T22:05:14.000Z | #!/usr/bin/env python
import sys
from distutils.core import setup
try:
import EUtils
except ImportError:
import __init__ as EUtils
def _dict(**kwargs):
return kwargs
d = _dict(
name = "EUtils",
version = EUtils.__version__,
description = "Client interface to NCBI's EUtils/Entrez server",
... | 31.142857 | 72 | 0.672273 |
4a14961344ff0b1d20e4e902cb86d959ce11b505 | 13,601 | py | Python | tests/integration/standard/test_prepared_statements.py | fatelei/python-driver | 3bddef6185f2691e1713dfe51d1fa26d1555724c | [
"Apache-2.0"
] | null | null | null | tests/integration/standard/test_prepared_statements.py | fatelei/python-driver | 3bddef6185f2691e1713dfe51d1fa26d1555724c | [
"Apache-2.0"
] | null | null | null | tests/integration/standard/test_prepared_statements.py | fatelei/python-driver | 3bddef6185f2691e1713dfe51d1fa26d1555724c | [
"Apache-2.0"
] | null | null | null | # Copyright 2013-2015 DataStax, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 35.054124 | 130 | 0.598265 |
4a1496708b88ab78882594ac265fccde1e9e6caa | 8,322 | py | Python | api/app.py | kallyas/employees-attendance-management-system | 6e81a67ff840d8dc7d897a1692104754b8ecb36a | [
"MIT"
] | null | null | null | api/app.py | kallyas/employees-attendance-management-system | 6e81a67ff840d8dc7d897a1692104754b8ecb36a | [
"MIT"
] | null | null | null | api/app.py | kallyas/employees-attendance-management-system | 6e81a67ff840d8dc7d897a1692104754b8ecb36a | [
"MIT"
] | null | null | null | # * ---------- IMPORTS --------- *
from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
import os
import psycopg2
import cv2
import numpy as np
import re
# Get the relativ path to this file (we will use it later)
FILE_PATH = os.path.dirname(os.path.realpath(__file__))
# * ---------- Cr... | 35.716738 | 213 | 0.58099 |
4a1496c1d253abdb9dd2c6647d2b981d6bdd2b9d | 1,803 | py | Python | src/reliapy/distributions/continuous/_rdist.py | reliapy/reliapy | 3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d | [
"BSD-3-Clause"
] | null | null | null | src/reliapy/distributions/continuous/_rdist.py | reliapy/reliapy | 3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d | [
"BSD-3-Clause"
] | null | null | null | src/reliapy/distributions/continuous/_rdist.py | reliapy/reliapy | 3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d | [
"BSD-3-Clause"
] | null | null | null | from reliapy.distributions.continuous import _Continuous
from scipy.stats import rdist as prob
class RDist(_Continuous):
def __init__(self, c=None, loc=None, scale=None, random_state=None):
self.c = c
self.loc = loc
self.scale = scale
self.stats = prob.stats(c=self.c, loc=self.loc... | 22.5375 | 109 | 0.490849 |
4a14976f308f2656cb761c7597cbb94846a05fd4 | 2,294 | py | Python | extract_data/extract_ventures.py | Neraud/FFXIV_RetainerInventoryHelper | 398d3ebe37a3debf4b6e1a7b83dfe660404b10a1 | [
"MIT"
] | 6 | 2019-09-07T11:53:21.000Z | 2021-07-25T21:26:49.000Z | extract_data/extract_ventures.py | Neraud/FFXIV_RetainerInventoryHelper | 398d3ebe37a3debf4b6e1a7b83dfe660404b10a1 | [
"MIT"
] | 1 | 2021-12-18T14:41:08.000Z | 2021-12-18T16:39:26.000Z | extract_data/extract_ventures.py | Neraud/FFXIV_RetainerInventoryHelper | 398d3ebe37a3debf4b6e1a7b83dfe660404b10a1 | [
"MIT"
] | 1 | 2021-08-12T09:45:18.000Z | 2021-08-12T09:45:18.000Z | #!/usr/bin/env python3
import urllib.request, json
import codecs
quantity = {}
ventures = {}
req = urllib.request.Request("https://xivapi.com/RetainerTaskNormal?columns=ID,ItemTargetID,Quantity2&max_items=1000", headers={'User-Agent': 'Mozilla/5.0'})
with urllib.request.urlopen(req) as url:
response = json.loads... | 47.791667 | 181 | 0.621186 |
4a149a586dca57f2b779ac76856b80f472345603 | 2,305 | py | Python | curent/stream/redis.py | bdemirtas/stream | 862ee2f8877eead7294fe16968ee486508bd19ce | [
"BSD-3-Clause"
] | null | null | null | curent/stream/redis.py | bdemirtas/stream | 862ee2f8877eead7294fe16968ee486508bd19ce | [
"BSD-3-Clause"
] | null | null | null | curent/stream/redis.py | bdemirtas/stream | 862ee2f8877eead7294fe16968ee486508bd19ce | [
"BSD-3-Clause"
] | 1 | 2019-12-19T21:35:11.000Z | 2019-12-19T21:35:11.000Z | """Redis stream.
Uses Redis Python client.
"""
import logging
import attr
import redis
from curent.stream import (
Stream,
StreamError,
StreamMessage,
StreamPublisher,
StreamSubscriber,
)
from redis.exceptions import (
ConnectionError,
TimeoutError,
)
from curent.stream.helper import ... | 27.117647 | 86 | 0.625163 |
4a149a7424f0e599e54413e3576d3dddc796c4f9 | 4,869 | py | Python | tensorflow_datasets/image_classification/oxford_iiit_pet.py | stwind/datasets | 118d3d2472a3bf2703d1374e25c2223dc7942c13 | [
"Apache-2.0"
] | 1 | 2020-10-11T19:15:49.000Z | 2020-10-11T19:15:49.000Z | tensorflow_datasets/image_classification/oxford_iiit_pet.py | cbaront/datasets | b097e0985eaaadc6b0c1f4dfa3b3cf88d116c607 | [
"Apache-2.0"
] | 1 | 2021-02-23T20:16:05.000Z | 2021-02-23T20:16:05.000Z | tensorflow_datasets/image_classification/oxford_iiit_pet.py | cbaront/datasets | b097e0985eaaadc6b0c1f4dfa3b3cf88d116c607 | [
"Apache-2.0"
] | 1 | 2022-03-14T16:17:53.000Z | 2022-03-14T16:17:53.000Z | # coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 36.335821 | 86 | 0.650852 |
4a149b042357afef8a8b8ca52096718f27b19a3c | 627 | py | Python | speechbrain/__init__.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 3,913 | 2021-03-14T13:54:52.000Z | 2022-03-30T05:09:55.000Z | speechbrain/__init__.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 667 | 2021-03-14T20:11:17.000Z | 2022-03-31T04:07:17.000Z | speechbrain/__init__.py | JasonSWFu/speechbrain | cb78ba2b33fceba273b055dc471535344c3053f0 | [
"Apache-2.0"
] | 785 | 2021-03-14T13:20:57.000Z | 2022-03-31T03:26:03.000Z | """ Comprehensive speech processing toolkit
"""
import os
from .core import Stage, Brain, create_experiment_directory, parse_arguments
from . import alignment # noqa
from . import dataio # noqa
from . import decoders # noqa
from . import lobes # noqa
from . import lm # noqa
from . import nnet # noqa
from . import... | 24.115385 | 76 | 0.703349 |
4a149d4d5e4802211e5452ac84d5c4df1639ddd0 | 1,465 | py | Python | app/core/models.py | starscream2290/reciper-app-api | 9655456ff1dadb34f44dcdb88d8727ec5bd5f90f | [
"MIT"
] | null | null | null | app/core/models.py | starscream2290/reciper-app-api | 9655456ff1dadb34f44dcdb88d8727ec5bd5f90f | [
"MIT"
] | null | null | null | app/core/models.py | starscream2290/reciper-app-api | 9655456ff1dadb34f44dcdb88d8727ec5bd5f90f | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
from django.contrib.auth.models import PermissionsMixin
from django.conf import settings
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
"creates and saves... | 29.3 | 74 | 0.702389 |
4a149e52cdf05f628d957a9298bf525c37ed6a38 | 4,669 | py | Python | test_autofit/graphical/test_unification.py | caoxiaoyue/PyAutoFit | 819cd2acc8d4069497a161c3bb6048128e44d828 | [
"MIT"
] | 39 | 2019-01-24T10:45:23.000Z | 2022-03-18T09:37:59.000Z | test_autofit/graphical/test_unification.py | caoxiaoyue/PyAutoFit | 819cd2acc8d4069497a161c3bb6048128e44d828 | [
"MIT"
] | 260 | 2018-11-27T12:56:33.000Z | 2022-03-31T16:08:59.000Z | test_autofit/graphical/test_unification.py | caoxiaoyue/PyAutoFit | 819cd2acc8d4069497a161c3bb6048128e44d828 | [
"MIT"
] | 13 | 2018-11-30T16:49:05.000Z | 2022-01-21T17:39:29.000Z | from random import random
import dill
import numpy as np
import pytest
import autofit as af
from autofit import graphical as g
from autofit.messages.normal import UniformNormalMessage
from autofit.messages.transform import log_10_transform
@pytest.fixture(
name="prior"
)
def make_prior():
return af.Gaussian... | 19.135246 | 68 | 0.578711 |
4a14a0c88e83ba0dc01f9699a57511c30ff0594a | 2,793 | py | Python | packages/web_stack/setup.py | lesperry/Metagenomics | a1d8b7d96b32ab83cebe513e889b6ef82f7c1dd6 | [
"CC-BY-3.0"
] | null | null | null | packages/web_stack/setup.py | lesperry/Metagenomics | a1d8b7d96b32ab83cebe513e889b6ef82f7c1dd6 | [
"CC-BY-3.0"
] | 2 | 2020-08-19T18:14:59.000Z | 2020-08-20T01:19:12.000Z | packages/web_stack/setup.py | lesperry/Metagenomics | a1d8b7d96b32ab83cebe513e889b6ef82f7c1dd6 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import ast
import os
import re
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
SOURCE_DIR = "galaxy"
_version_re = re.compile(r'__version__\s+=\s+(.*)')
project_short_name = os.path.basename(os.path.dirname(os.path.realpath... | 28.212121 | 83 | 0.655926 |
4a14a0da716e0930fd303660f9777485f97cce54 | 1,017 | py | Python | Easy/118.PascalsTriangle.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 39 | 2020-07-04T11:15:13.000Z | 2022-02-04T22:33:42.000Z | Easy/118.PascalsTriangle.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 1 | 2020-07-15T11:53:37.000Z | 2020-07-15T11:53:37.000Z | Easy/118.PascalsTriangle.py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 20 | 2020-07-14T19:12:53.000Z | 2022-03-02T06:28:17.000Z | """
Given a non-negative integer numRows, generate the first numRows of
Pascal's triangle.
In Pascal's triangle, each number is the sum of the two numbers directly
above it.
Example:
Input: 5
Output:
[
[1],
[1,1],
[1,2,1],
[1,3,3,1],
[1,4,6,4,1]
... | 26.763158 | 92 | 0.548673 |
4a14a15562d2be8892280ab5a44793708ee54f38 | 15,497 | py | Python | tensorflow/python/debug/wrappers/dumping_wrapper_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 78 | 2020-08-04T12:36:25.000Z | 2022-03-25T04:23:40.000Z | tensorflow/python/debug/wrappers/dumping_wrapper_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 203 | 2019-06-14T23:53:10.000Z | 2022-02-10T02:27:23.000Z | tensorflow/python/debug/wrappers/dumping_wrapper_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 66 | 2020-05-15T10:05:12.000Z | 2022-02-14T07:28:18.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.735897 | 80 | 0.703491 |
4a14a2a2489dcd237627f0197f30244e4ab3c12e | 3,102 | py | Python | tests/test_nbqa_diff.py | tcbegley/nbQA | 75bbb8aade6f482a14d12b1db967005c5f7a70e4 | [
"MIT"
] | null | null | null | tests/test_nbqa_diff.py | tcbegley/nbQA | 75bbb8aade6f482a14d12b1db967005c5f7a70e4 | [
"MIT"
] | null | null | null | tests/test_nbqa_diff.py | tcbegley/nbQA | 75bbb8aade6f482a14d12b1db967005c5f7a70e4 | [
"MIT"
] | null | null | null | """Check --nbqa-diff flag."""
import os
import re
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import pytest
from nbqa.__main__ import main
if TYPE_CHECKING:
from _pytest.capture import CaptureFixture
SPARKLES = "\N{sparkles}"
SHORTCAKE = "\N{shortcake}"
COLLISION = "\... | 28.722222 | 87 | 0.60187 |
4a14a2ff2d814d02e082581cdd718f5e1da8044f | 3,470 | py | Python | horovod/spark/keras/optimizer.py | hcyang99/horovod | 825cc197468548da47dcd38872d5b4ba6e6a125b | [
"Apache-2.0"
] | 1 | 2020-05-07T08:26:36.000Z | 2020-05-07T08:26:36.000Z | horovod/spark/keras/optimizer.py | kyocen/horovod | e9b1e228ff92eb7f65d9aea2d36f23b327df28bd | [
"Apache-2.0"
] | null | null | null | horovod/spark/keras/optimizer.py | kyocen/horovod | e9b1e228ff92eb7f65d9aea2d36f23b327df28bd | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Uber Technologies, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.773196 | 135 | 0.678963 |
4a14a30042a081350670d31d559217bc57eddda4 | 148 | py | Python | Algoritimos/ex4.9.py | mathspin/Algoritimos-py | 3a814dd924d9ee4c15ee4734170ed82f70e95479 | [
"MIT"
] | null | null | null | Algoritimos/ex4.9.py | mathspin/Algoritimos-py | 3a814dd924d9ee4c15ee4734170ed82f70e95479 | [
"MIT"
] | null | null | null | Algoritimos/ex4.9.py | mathspin/Algoritimos-py | 3a814dd924d9ee4c15ee4734170ed82f70e95479 | [
"MIT"
] | null | null | null | i = 0
maior=0
soma = 0
while i < 15:
n = int(input("digite o codigo: "))
if n > maior:
maior = n
soma += n
i += 1
print(maior)
print(soma/i)
| 11.384615 | 36 | 0.567568 |
4a14a300a28723168ef92286f457b5a334b1dc70 | 934 | py | Python | pipeline/models/pca.py | DPBayes/dp-representation-transfer | 0c8389cc36659a7606bceac2531eaef7663ac49c | [
"MIT"
] | 1 | 2021-12-09T03:45:18.000Z | 2021-12-09T03:45:18.000Z | pipeline/models/pca.py | DPBayes/dp-representation-transfer | 0c8389cc36659a7606bceac2531eaef7663ac49c | [
"MIT"
] | 1 | 2019-10-03T19:32:29.000Z | 2019-10-04T14:09:28.000Z | pipeline/models/pca.py | DPBayes/dp-representation-transfer | 0c8389cc36659a7606bceac2531eaef7663ac49c | [
"MIT"
] | 1 | 2019-10-15T07:16:42.000Z | 2019-10-15T07:16:42.000Z | # PCA
import numpy as np
from sklearn.decomposition import PCA as sk_PCA
import pickle
class PCA:
def init(self, input_dim, output_dim):
self.pca = sk_PCA(n_components=output_dim)
return self
def learn(self, x,
validation_split=0.0, # unused
validation_data=None, # unused
... | 23.35 | 47 | 0.639186 |
4a14a3a696e59564fefc1a7b2dc4f133fc3e7f68 | 667 | py | Python | online_shop/manage.py | SwagatoMondal/Online-Shopping | 7ca6755692caa57dd6ece2183b066438f4fcafab | [
"Apache-2.0"
] | 2 | 2021-03-24T10:55:54.000Z | 2021-04-05T12:36:56.000Z | online_shop/manage.py | SwagatoMondal/Online-Shopping | 7ca6755692caa57dd6ece2183b066438f4fcafab | [
"Apache-2.0"
] | null | null | null | online_shop/manage.py | SwagatoMondal/Online-Shopping | 7ca6755692caa57dd6ece2183b066438f4fcafab | [
"Apache-2.0"
] | 1 | 2022-02-23T15:18:17.000Z | 2022-02-23T15:18:17.000Z | #!/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', 'online_shop.settings')
try:
from django.core.management import execute_from_command_line
except ... | 29 | 75 | 0.68066 |
4a14a4425902475bbee570f4d3493e5caf515032 | 3,146 | py | Python | saleor/endevel_settings.py | EndevelCZ/saleor | 009af798b4e9d2348de703bdcbe8d4f1a2a60e4f | [
"BSD-3-Clause"
] | null | null | null | saleor/endevel_settings.py | EndevelCZ/saleor | 009af798b4e9d2348de703bdcbe8d4f1a2a60e4f | [
"BSD-3-Clause"
] | null | null | null | saleor/endevel_settings.py | EndevelCZ/saleor | 009af798b4e9d2348de703bdcbe8d4f1a2a60e4f | [
"BSD-3-Clause"
] | null | null | null | import os
from decouple import AutoConfig
import raven
config = AutoConfig(os.environ.get('DJANGO_CONFIG_ENV_DIR'))
PROJECT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = config('PROJECT_SECRET_KEY', default='')
ALLOWED_HOSTS = config('ALLOWED_HOSTS', default='', cast=lambda v: [s.st... | 31.46 | 101 | 0.581373 |
4a14a46d904669512978dad6d555da244921dad2 | 5,121 | py | Python | slack_bolt/request/internals.py | shaydewael/bolt-python | 42fa6a916850251e7fe90d681902d9d111b0a397 | [
"MIT"
] | null | null | null | slack_bolt/request/internals.py | shaydewael/bolt-python | 42fa6a916850251e7fe90d681902d9d111b0a397 | [
"MIT"
] | null | null | null | slack_bolt/request/internals.py | shaydewael/bolt-python | 42fa6a916850251e7fe90d681902d9d111b0a397 | [
"MIT"
] | null | null | null | import json
from typing import Optional, Dict, Union, List, Any
from urllib.parse import parse_qsl, parse_qs
from slack_bolt.context import BoltContext
def parse_query(
query: Optional[Union[str, Dict[str, str], Dict[str, List[str]]]]
) -> Dict[str, List[str]]:
if query is None:
return {}
elif is... | 33.253247 | 89 | 0.603593 |
4a14a475cb3e7bb30558b0e7f10bbf0d344fbe54 | 80 | py | Python | torchsweeper/__init__.py | crnbaker/torchsweeper | 1c0b696e9cf880d6ac799afb6174d60fbd148b6a | [
"MIT"
] | null | null | null | torchsweeper/__init__.py | crnbaker/torchsweeper | 1c0b696e9cf880d6ac799afb6174d60fbd148b6a | [
"MIT"
] | null | null | null | torchsweeper/__init__.py | crnbaker/torchsweeper | 1c0b696e9cf880d6ac799afb6174d60fbd148b6a | [
"MIT"
] | null | null | null | from .decorators import Timer, ParameterSweeper
__all__ = ['Timer', 'Sweeper']
| 20 | 47 | 0.75 |
4a14a4d88b5310e169e5b3e071f020427f8c3395 | 12,597 | py | Python | test/functional/talan_dgp_block_size_sync.py | talanproject/talan | 83bd4549703efc1cdb68511f3432520cf07b5d52 | [
"MIT"
] | null | null | null | test/functional/talan_dgp_block_size_sync.py | talanproject/talan | 83bd4549703efc1cdb68511f3432520cf07b5d52 | [
"MIT"
] | null | null | null | test/functional/talan_dgp_block_size_sync.py | talanproject/talan | 83bd4549703efc1cdb68511f3432520cf07b5d52 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
from test_framework.script import *
from test_framework.mininode import *
from test_framework.talan import *
from test_framework.address import *
from test_framework.blocktools import *
import io
""... | 83.98 | 1,358 | 0.830118 |
4a14a67557217e7a0414a2bc012c367ec9b51193 | 4,194 | py | Python | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/peer_express_route_circuit_connection_py3.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/peer_express_route_circuit_connection_py3.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/peer_express_route_circuit_connection_py3.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | null | null | null | # 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 ... | 48.767442 | 266 | 0.695517 |
4a14a7a4de1be0a8b054c9413f8fce6ae18c4045 | 2,527 | py | Python | message.py | parkr/steve | 48df9b17a46b933616dc97833d68ae514a9343ad | [
"MIT"
] | 5 | 2015-11-08T17:46:17.000Z | 2021-01-09T15:49:47.000Z | message.py | parkr/steve | 48df9b17a46b933616dc97833d68ae514a9343ad | [
"MIT"
] | 2 | 2015-06-16T00:19:21.000Z | 2015-06-16T00:19:32.000Z | message.py | parkr/steve | 48df9b17a46b933616dc97833d68ae514a9343ad | [
"MIT"
] | 2 | 2016-07-16T15:13:04.000Z | 2018-03-05T22:08:24.000Z | import engine
import re
from sqlalchemy.sql import select
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import MetaData, Table
from sqlalchemy import Column, Integer, String, Text
Base = declarative_base()
class Message(Base):
__tablename__ = 'messages'
DASHES = '-'
id = Col... | 29.383721 | 82 | 0.616541 |
4a14a7c9dcf07898e101b5bc8484e50c276e4964 | 4,265 | py | Python | rasa/nlu/extractors/entity_synonyms.py | RielKIM/rasa | a3e329efd16032c900900181dcf57b01884e1a97 | [
"Apache-2.0"
] | null | null | null | rasa/nlu/extractors/entity_synonyms.py | RielKIM/rasa | a3e329efd16032c900900181dcf57b01884e1a97 | [
"Apache-2.0"
] | null | null | null | rasa/nlu/extractors/entity_synonyms.py | RielKIM/rasa | a3e329efd16032c900900181dcf57b01884e1a97 | [
"Apache-2.0"
] | 1 | 2020-03-12T16:09:06.000Z | 2020-03-12T16:09:06.000Z | import os
import warnings
from typing import Any, Dict, Optional, Text
from rasa.constants import DOCS_URL_TRAINING_DATA_NLU
from rasa.nlu.constants import ENTITIES_ATTRIBUTE
from rasa.nlu.config import RasaNLUModelConfig
from rasa.nlu.extractors import EntityExtractor
from rasa.nlu.model import Metadata
from rasa.nlu... | 37.412281 | 88 | 0.615006 |
4a14a83d1aa258e6f779fae29d7e18f440f2592d | 3,234 | py | Python | middleware/legato/templates/legato_gfx_pda_7000b/Support_BSP_PIC32MZ_DA_Curiosity.py | automaate/gfx3.8 | 55bf94302f00c8d513c84d910185cef2ca6b5be2 | [
"0BSD"
] | null | null | null | middleware/legato/templates/legato_gfx_pda_7000b/Support_BSP_PIC32MZ_DA_Curiosity.py | automaate/gfx3.8 | 55bf94302f00c8d513c84d910185cef2ca6b5be2 | [
"0BSD"
] | null | null | null | middleware/legato/templates/legato_gfx_pda_7000b/Support_BSP_PIC32MZ_DA_Curiosity.py | automaate/gfx3.8 | 55bf94302f00c8d513c84d910185cef2ca6b5be2 | [
"0BSD"
] | null | null | null | # coding: utf-8
##############################################################################
# Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries.
#
# Subject to your compliance with these terms, you may use Microchip software
# and any derivatives exclusively with Microchip products. It is your
... | 56.736842 | 147 | 0.650588 |
4a14a8572eb3731935589594a7f31a7eea794576 | 9,238 | py | Python | python/libs/quickjson.py | rmrector/script.artwork.dump | 02141823e9d920de7e377ae606a1fe680cad4417 | [
"MIT"
] | 7 | 2021-01-23T06:05:33.000Z | 2021-12-06T11:25:21.000Z | python/libs/quickjson.py | rmrector/script.artwork.dump | 02141823e9d920de7e377ae606a1fe680cad4417 | [
"MIT"
] | 10 | 2020-12-20T08:20:35.000Z | 2022-03-18T22:22:41.000Z | python/libs/quickjson.py | rmrector/script.artwork.dump | 02141823e9d920de7e377ae606a1fe680cad4417 | [
"MIT"
] | null | null | null | import json
from itertools import chain
from libs import mediatypes, pykodi
from libs.pykodi import log
# [0] method part, [1] list: properties, [2] dict: extra params
typemap = {mediatypes.MOVIE: ('Movie', ['art', 'imdbnumber', 'file', 'premiered', 'uniqueid', 'setid'], None),
mediatypes.MOVIESET: ('MovieSet', [... | 42.571429 | 129 | 0.704481 |
4a14a915bdb33f1ac6e8fc1839b32bc81fa8de05 | 28,656 | py | Python | tensorflow/python/data/kernel_tests/iterator_ops_test.py | zhangyujing/tensorflow | c7a04561fb8972fb64907acc5f10f3c6d4cef9f2 | [
"Apache-2.0"
] | 13 | 2018-07-23T18:53:35.000Z | 2021-11-18T19:56:45.000Z | tensorflow/python/data/kernel_tests/iterator_ops_test.py | zhangyujing/tensorflow | c7a04561fb8972fb64907acc5f10f3c6d4cef9f2 | [
"Apache-2.0"
] | 1 | 2018-02-23T03:17:44.000Z | 2018-02-23T03:17:44.000Z | tensorflow/python/data/kernel_tests/iterator_ops_test.py | zhangyujing/tensorflow | c7a04561fb8972fb64907acc5f10f3c6d4cef9f2 | [
"Apache-2.0"
] | 13 | 2018-09-07T13:28:38.000Z | 2020-07-17T15:06:24.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.634855 | 80 | 0.668307 |
4a14aa751d80d05387010bd9a68da53ef3528722 | 42 | py | Python | cat/__init__.py | csengor/toraman_webapp | 35c10531ce83e2fc744dd8df0e01624e109aaec8 | [
"MIT"
] | 2 | 2020-02-01T08:21:09.000Z | 2020-10-08T17:36:35.000Z | cat/__init__.py | toramanPRO/toraman_webapp | 35c10531ce83e2fc744dd8df0e01624e109aaec8 | [
"MIT"
] | 1 | 2019-12-15T07:39:24.000Z | 2019-12-15T07:39:24.000Z | cat/__init__.py | toramanPRO/toraman_webapp | 35c10531ce83e2fc744dd8df0e01624e109aaec8 | [
"MIT"
] | null | null | null | default_app_config = 'cat.apps.CatConfig'
| 21 | 41 | 0.809524 |
4a14aabb18185c6e9db3109a71503f4bb9ddab00 | 266 | py | Python | tests/artificial/transf_None/trend_PolyTrend/cycle_12/ar_/test_artificial_1024_None_PolyTrend_12__20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/artificial/transf_None/trend_PolyTrend/cycle_12/ar_/test_artificial_1024_None_PolyTrend_12__20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/artificial/transf_None/trend_PolyTrend/cycle_12/ar_/test_artificial_1024_None_PolyTrend_12__20.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 12, transform = "None", sigma = 0.0, exog_count = 20, ar_order = 0); | 38 | 161 | 0.729323 |
4a14ab71231651cb45ad32d8e548d7f58af34598 | 4,080 | py | Python | tensorboard/plugins/memoryutil/summary.py | venky-intel/tensorboard | 2c375b892e883240deadf3358414c283e52210be | [
"Apache-2.0"
] | null | null | null | tensorboard/plugins/memoryutil/summary.py | venky-intel/tensorboard | 2c375b892e883240deadf3358414c283e52210be | [
"Apache-2.0"
] | null | null | null | tensorboard/plugins/memoryutil/summary.py | venky-intel/tensorboard | 2c375b892e883240deadf3358414c283e52210be | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.130841 | 80 | 0.701716 |
4a14ac56c16bcbd33c99a25e8d0322743313dc9a | 157,251 | py | Python | hail/python/hail/matrixtable.py | jkgoodrich/hail | 95ce1d792b553a5e97b390d349237a7ed86fbf98 | [
"MIT"
] | null | null | null | hail/python/hail/matrixtable.py | jkgoodrich/hail | 95ce1d792b553a5e97b390d349237a7ed86fbf98 | [
"MIT"
] | null | null | null | hail/python/hail/matrixtable.py | jkgoodrich/hail | 95ce1d792b553a5e97b390d349237a7ed86fbf98 | [
"MIT"
] | null | null | null | import itertools
from typing import Optional, Dict, Tuple, Any, List
from collections import Counter
import hail as hl
from hail.expr.expressions import Expression, StructExpression, \
expr_struct, expr_any, expr_bool, analyze, Indices, \
construct_reference, construct_expr, extract_refs_by_indices, \
Expre... | 37.449631 | 141 | 0.567475 |
4a14adcbec00ab8342339ffef4c773e7ec06cf78 | 8,279 | py | Python | nanopq/pq.py | de9uch1/nanopq | 4c1d724494a71f9736b15928a8c03b0ba13ffd19 | [
"MIT"
] | 217 | 2018-07-25T23:33:56.000Z | 2022-03-19T13:44:07.000Z | nanopq/pq.py | de9uch1/nanopq | 4c1d724494a71f9736b15928a8c03b0ba13ffd19 | [
"MIT"
] | 11 | 2019-01-23T10:56:18.000Z | 2022-03-31T14:58:40.000Z | nanopq/pq.py | de9uch1/nanopq | 4c1d724494a71f9736b15928a8c03b0ba13ffd19 | [
"MIT"
] | 35 | 2018-07-30T12:53:12.000Z | 2022-02-08T04:11:38.000Z | import numpy as np
from scipy.cluster.vq import kmeans2, vq
class PQ(object):
"""Pure python implementation of Product Quantization (PQ) [Jegou11]_.
For the indexing phase of database vectors,
a `D`-dim input vector is divided into `M` `D`/`M`-dim sub-vectors.
Each sub-vector is quantized into a smal... | 36.632743 | 101 | 0.584612 |
4a14adfd695311d72533b62fe81cc3fa4e161a02 | 475 | py | Python | custodian/vasp/tests/conftest.py | jmmshn/custodian | 9f42fbd0fe449cb5a167de946fa0bfdd7fa60ed6 | [
"MIT"
] | null | null | null | custodian/vasp/tests/conftest.py | jmmshn/custodian | 9f42fbd0fe449cb5a167de946fa0bfdd7fa60ed6 | [
"MIT"
] | null | null | null | custodian/vasp/tests/conftest.py | jmmshn/custodian | 9f42fbd0fe449cb5a167de946fa0bfdd7fa60ed6 | [
"MIT"
] | null | null | null | """
This module mocks functions needed for pytest.
"""
import multiprocessing
import pytest
def mock_cpu_count(*args, **kwargs):
"""
Instead of running multiprocessing.cpu_count(), we return a fixed
value during tests
"""
return 64
@pytest.fixture(autouse=True)
def patch_get_potential_energy(mo... | 20.652174 | 69 | 0.722105 |
4a14b0214f1c6be30ff6772c3be4ad578a2a2771 | 3,546 | py | Python | tests/test_branflake.py | curt/branflake | a266bdb5c3641478363cc153045a64a7d9f7aed6 | [
"MIT"
] | null | null | null | tests/test_branflake.py | curt/branflake | a266bdb5c3641478363cc153045a64a7d9f7aed6 | [
"MIT"
] | null | null | null | tests/test_branflake.py | curt/branflake | a266bdb5c3641478363cc153045a64a7d9f7aed6 | [
"MIT"
] | null | null | null | """ test_branflake.py
"""
from time import sleep, struct_time
from uuid import UUID
import pytest
from branflake import Branflake
# easier to read than a pile of zeros
ONE_MILLION = 1000000
# define low, one, and high bytearrays
LOW_BYTEARRAY = b'\x00\x00\x00\x00\x00\x00\x00\x00'
ONE_BYTEARRAY = b'\x00\x00\x00\x00\x0... | 37.326316 | 87 | 0.73181 |
4a14b222546a139b4d9f436480a31598c0029511 | 2,280 | py | Python | src/multiple_trees/phylo_tree.py | npakudin/embrionic_tree | fe4c6379cf9b63ec116678549bd284abff638655 | [
"MIT"
] | null | null | null | src/multiple_trees/phylo_tree.py | npakudin/embrionic_tree | fe4c6379cf9b63ec116678549bd284abff638655 | [
"MIT"
] | 5 | 2020-08-01T03:01:38.000Z | 2022-03-12T00:45:17.000Z | src/multiple_trees/phylo_tree.py | npakudin/embrionic_tree | fe4c6379cf9b63ec116678549bd284abff638655 | [
"MIT"
] | null | null | null | import networkx as nx
def cut(distance_matrix, names):
G = nx.Graph()
for row_index, row in enumerate(distance_matrix):
for col_index, item in enumerate(row):
if (col_index < row_index):
# G.add_edge(names[row_index], names[col_index], weight=item)
G.add_edg... | 36.774194 | 110 | 0.607895 |
4a14b2ef832d23747b215586208d233ebf37068e | 7,250 | py | Python | gff_to_bed_maker/gff_to_bed_maker.py | tyrmi/PGU | bd04b62599e13124426f0830fe53e4324aca8439 | [
"BSD-3-Clause"
] | 3 | 2017-07-17T07:45:37.000Z | 2019-04-12T21:03:20.000Z | gff_to_bed_maker/gff_to_bed_maker.py | tyrmi/PGU | bd04b62599e13124426f0830fe53e4324aca8439 | [
"BSD-3-Clause"
] | null | null | null | gff_to_bed_maker/gff_to_bed_maker.py | tyrmi/PGU | bd04b62599e13124426f0830fe53e4324aca8439 | [
"BSD-3-Clause"
] | null | null | null | '''
Copyright © 2017 Jaakko Tyrmi. All Rights Reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the foll... | 45.886076 | 99 | 0.584966 |
4a14b300828b066424646d5c743326c46ee829f4 | 1,431 | py | Python | classifier_util.py | alexrudnick/nlp-doodles | ae29e87177b40cbdc330f5dc177fe43fd71a1519 | [
"CC0-1.0"
] | 3 | 2020-10-06T04:36:37.000Z | 2020-10-20T12:29:27.000Z | classifier_util.py | alexrudnick/nlp-doodles | ae29e87177b40cbdc330f5dc177fe43fd71a1519 | [
"CC0-1.0"
] | null | null | null | classifier_util.py | alexrudnick/nlp-doodles | ae29e87177b40cbdc330f5dc177fe43fd71a1519 | [
"CC0-1.0"
] | 1 | 2020-10-20T04:32:05.000Z | 2020-10-20T04:32:05.000Z | """Little utility functions used in several classifier sketches.
"""
import sklearn.datasets
import numpy as np
def split_training_test(document_pairs):
"""
Given a list of things, split them into training and test.
Returns a pair of lists: training, test.
Simplest split: every 10th thing is in the t... | 26.018182 | 64 | 0.542278 |
4a14b3dfde321fcd7ebdef70037863e598d6b8b0 | 18,118 | py | Python | tests/test_environment.py | startupgrind/python-percy-client | 8c6ce83c74b9dbe51beadac5923f5d9f1d999f58 | [
"MIT"
] | null | null | null | tests/test_environment.py | startupgrind/python-percy-client | 8c6ce83c74b9dbe51beadac5923f5d9f1d999f58 | [
"MIT"
] | 2 | 2019-07-24T20:43:35.000Z | 2019-07-24T23:03:29.000Z | tests/test_environment.py | startupgrind/python-percy-client | 8c6ce83c74b9dbe51beadac5923f5d9f1d999f58 | [
"MIT"
] | null | null | null | import os
import percy
import pytest
import sys
class BaseTestPercyEnvironment(object):
def setup_method(self, method):
self.original_env = {}
self.original_env['TRAVIS_BUILD_ID'] = os.getenv('TRAVIS_BUILD_ID', None)
self.original_env['TRAVIS_BUILD_NUMBER'] = os.getenv('TRAVIS_BUILD_NUMBER'... | 37.745833 | 103 | 0.652004 |
4a14b492b4400287fd617e21b06586a79c44874b | 1,991 | py | Python | drillbit/sdk_tests/iphone/build_project.py | ludolphus/titanium_mobile | cdc9f49deea8a9d7dd7382115f98144a16b7a5b3 | [
"Apache-2.0"
] | 2 | 2015-05-30T20:28:13.000Z | 2021-01-08T17:02:41.000Z | drillbit/sdk_tests/iphone/build_project.py | arnaudsj/titanium_mobile | 4ed83dd6b355947a88f52efbf4ac82d86a2eeffd | [
"Apache-2.0"
] | 6 | 2015-04-27T22:12:58.000Z | 2020-05-23T01:14:06.000Z | drillbit/sdk_tests/iphone/build_project.py | arnaudsj/titanium_mobile | 4ed83dd6b355947a88f52efbf4ac82d86a2eeffd | [
"Apache-2.0"
] | 1 | 2019-03-15T04:55:17.000Z | 2019-03-15T04:55:17.000Z | #!/usr/bin/env python
import os, sys, mobilesdk
class BuildProject(mobilesdk.MobileSDKTest):
def testLogIndexSearch(self):
supportDir = os.path.join(self.mobileDir, "support")
iphoneSupportDir = os.path.join(supportDir, "iphone")
sys.path.insert(0, supportDir)
sys.path.insert(0, iphoneSupportDir)
import ti... | 39.82 | 106 | 0.787042 |
4a14b59db7668ff4153ea630f39b505c02f77b8e | 1,842 | py | Python | setup.py | Luke050/instabot | 148efeda4919e1ab727c5378bdf7a502e7187353 | [
"Apache-2.0"
] | null | null | null | setup.py | Luke050/instabot | 148efeda4919e1ab727c5378bdf7a502e7187353 | [
"Apache-2.0"
] | null | null | null | setup.py | Luke050/instabot | 148efeda4919e1ab727c5378bdf7a502e7187353 | [
"Apache-2.0"
] | null | null | null | from os import path
from codecs import open
from setuptools import setup, find_packages
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='instabot',
version='... | 32.315789 | 78 | 0.624321 |
4a14b95cbf864ea2ea478b8f6a541a4ad16f49dc | 3,243 | py | Python | AnalysisData.py | StuPeter/AutoHome_spider | ec2359bed96a70b908afc95d7098cca2174f0f47 | [
"MIT"
] | 53 | 2019-05-13T08:44:49.000Z | 2022-01-11T16:09:45.000Z | AnalysisData.py | qqccmm/AutoHome_spider | ec2359bed96a70b908afc95d7098cca2174f0f47 | [
"MIT"
] | 2 | 2020-08-24T04:54:23.000Z | 2020-11-13T06:46:45.000Z | AnalysisData.py | qqccmm/AutoHome_spider | ec2359bed96a70b908afc95d7098cca2174f0f47 | [
"MIT"
] | 21 | 2019-05-13T08:43:48.000Z | 2022-02-10T06:25:03.000Z | #!/usr/bin/env python
# _*_ coding:utf-8 _*_
#
# @Version : 1.0
# @Time : 2019/7/8
# @Author : 圈圈烃
# @File : AnalysisData
# @Description:汽车之家数据分析
#
#
from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.charts import Bar
import csv
provinceList = [
'北京', '广东', '山东', ... | 35.25 | 388 | 0.483811 |
4a14b9b656c01de3a93b7fba0575c791fc39a515 | 4,608 | py | Python | cli.py | Gilbert189/Nihonium | f2f9b0064bf624a2b6e462e9c819ddd8679dab59 | [
"MIT"
] | null | null | null | cli.py | Gilbert189/Nihonium | f2f9b0064bf624a2b6e462e9c819ddd8679dab59 | [
"MIT"
] | null | null | null | cli.py | Gilbert189/Nihonium | f2f9b0064bf624a2b6e462e9c819ddd8679dab59 | [
"MIT"
] | null | null | null | """
A (not human-friendly) CLI for Flerovium.
Does double duty as a bridge to Java.
"""
import sys, json, commands, versions, re, datetime, getopt
# Initialize variables
version = versions.Version(2, 0, 0) # Specifies this CLI version.
with open("config.json", "r") as f:
config = json.loads(f.read())
... | 36.283465 | 169 | 0.621094 |
4a14bc5dcf3a01d18050a1728d18ac1553ed8804 | 8,830 | py | Python | homeassistant/components/group/light.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 22,481 | 2020-03-02T13:09:59.000Z | 2022-03-31T23:34:28.000Z | homeassistant/components/group/light.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/group/light.py | learn-home-automation/core | c5d8792c3487e9b418b1e7d623bf59e7dbddd6b7 | [
"Apache-2.0"
] | 11,411 | 2020-03-02T14:19:20.000Z | 2022-03-31T22:46:07.000Z | """This platform allows several lights to be grouped into one light."""
from __future__ import annotations
from collections import Counter
import itertools
import logging
from typing import Any, Set, cast
import voluptuous as vol
from homeassistant.components import light
from homeassistant.components.light import (... | 33.320755 | 88 | 0.667271 |
4a14bc75baf9a25843b73b7dbf07d924203c8ed4 | 6,125 | py | Python | finorch/sessions/cit/client.py | ADACS-Australia/SS2021B-DBrown | 67b93b316e6f9ab09e3bd5105edbbc71108e0723 | [
"MIT"
] | null | null | null | finorch/sessions/cit/client.py | ADACS-Australia/SS2021B-DBrown | 67b93b316e6f9ab09e3bd5105edbbc71108e0723 | [
"MIT"
] | null | null | null | finorch/sessions/cit/client.py | ADACS-Australia/SS2021B-DBrown | 67b93b316e6f9ab09e3bd5105edbbc71108e0723 | [
"MIT"
] | null | null | null | import logging
import os
import sys
import uuid
import warnings
from pathlib import Path
from finorch.sessions.abstract_client import AbstractClient
from finorch.transport.exceptions import TransportStartJobException
from finorch.utils.cd import cd
from finorch.utils.job_status import JobStatus
SUBMIT_SCRIPT = """#!/... | 37.121212 | 118 | 0.580408 |
4a14bc77e117aa87e638d0c757d0b4edfc19b7f8 | 1,476 | py | Python | oneVSmulti_demo.py | NTUMitoLab/Mitochondrial-Network-Model | 9804e0a80ee83ece6d88c9592f9c8bab0c4b9894 | [
"MIT"
] | null | null | null | oneVSmulti_demo.py | NTUMitoLab/Mitochondrial-Network-Model | 9804e0a80ee83ece6d88c9592f9c8bab0c4b9894 | [
"MIT"
] | 1 | 2022-03-06T07:08:17.000Z | 2022-03-10T09:16:43.000Z | oneVSmulti_demo.py | NTUMitoLab/Mitochondrial-Network-Model | 9804e0a80ee83ece6d88c9592f9c8bab0c4b9894 | [
"MIT"
] | null | null | null | import networkmodel
import myGA
import KLDivergence
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
import multiprocessing
import time
from sklearn.neighbors import KernelDensity
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import Le... | 26.836364 | 72 | 0.686992 |
4a14be4fecae578fde861b4a71c2c7555517d364 | 636 | py | Python | setup.py | bdraco/tesla_powerwall | dbf4493796c13e08fef2e8ddda547ad9ef1e2469 | [
"Apache-2.0"
] | null | null | null | setup.py | bdraco/tesla_powerwall | dbf4493796c13e08fef2e8ddda547ad9ef1e2469 | [
"Apache-2.0"
] | null | null | null | setup.py | bdraco/tesla_powerwall | dbf4493796c13e08fef2e8ddda547ad9ef1e2469 | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="tesla_powerwall",
author="Jrester",
author_email="jrester379@gmail.com",
version='0.3.14',
description="API for Tesla Powerwall",
long_description=long_description,
... | 28.909091 | 61 | 0.671384 |
4a14be7441110d461eb3993fb4d378c7ac3691ad | 2,380 | py | Python | Modell/eingabeAuswerten.py | NoahEmbedded/EmbeddedKWD | 2380d56b0b75bae4fedeb60885358332766f7319 | [
"MIT"
] | null | null | null | Modell/eingabeAuswerten.py | NoahEmbedded/EmbeddedKWD | 2380d56b0b75bae4fedeb60885358332766f7319 | [
"MIT"
] | null | null | null | Modell/eingabeAuswerten.py | NoahEmbedded/EmbeddedKWD | 2380d56b0b75bae4fedeb60885358332766f7319 | [
"MIT"
] | null | null | null | import sounddevice as sd
from PIL import Image
import time
import numpy as np
import tensorflow.keras.models
class schlange:
def __init__(self,max_groesse):
self.__max_groesse = max_groesse
self.__voll = False
self.__liste = []
def anhaengen(self,ding):
self.__liste.append(ding)
... | 34 | 108 | 0.686975 |
4a14beeaaf5a646a113208941da52dbcb9cdfe9a | 3,357 | py | Python | cell_classifier/mlp/train_classifier.py | abhinav-kumar-thakur/table-understanding | 5448e02dec87ea3974bfc118ebeace86e8918285 | [
"MIT"
] | null | null | null | cell_classifier/mlp/train_classifier.py | abhinav-kumar-thakur/table-understanding | 5448e02dec87ea3974bfc118ebeace86e8918285 | [
"MIT"
] | null | null | null | cell_classifier/mlp/train_classifier.py | abhinav-kumar-thakur/table-understanding | 5448e02dec87ea3974bfc118ebeace86e8918285 | [
"MIT"
] | null | null | null | from joblib import dump, load
from sklearn.ensemble import RandomForestClassifier
import pickle
import numpy as np
from type.cell.semantic_cell_type import SemanticCellType
from type.cell.cell_type_pmf import CellTypePMF
from sklearn.metrics import f1_score
from imblearn.ensemble import BalancedRandomForestClassifier
f... | 33.237624 | 113 | 0.577599 |
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