hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4043f84908b97607d02cc9c6faf2b455d08e20a4 | 1,055 | py | Python | scripts/commands/html/actions/search.py | stevekineeve88/orb | 284cc78659e88e85e8773599da3bda382a8bb833 | [
"MIT"
] | null | null | null | scripts/commands/html/actions/search.py | stevekineeve88/orb | 284cc78659e88e85e8773599da3bda382a8bb833 | [
"MIT"
] | null | null | null | scripts/commands/html/actions/search.py | stevekineeve88/orb | 284cc78659e88e85e8773599da3bda382a8bb833 | [
"MIT"
] | null | null | null | import click
import requests
from bs4 import BeautifulSoup
from modules.Word.managers.DictionaryManager import DictionaryManager
import re
| 30.142857 | 70 | 0.6 |
404408dcaaf3ec9278595ad0836bc4bc90af7ec0 | 81 | py | Python | asf_search/constants/DATASET/__init__.py | jhkennedy/Discovery-asf_search | 4ec45e8a85cd626ea92f83937df9f8f04e0f7f4f | [
"BSD-3-Clause"
] | null | null | null | asf_search/constants/DATASET/__init__.py | jhkennedy/Discovery-asf_search | 4ec45e8a85cd626ea92f83937df9f8f04e0f7f4f | [
"BSD-3-Clause"
] | 1 | 2021-04-01T16:30:56.000Z | 2021-04-01T16:30:56.000Z | asf_search/constants/DATASET/__init__.py | jhkennedy/Discovery-asf_search | 4ec45e8a85cd626ea92f83937df9f8f04e0f7f4f | [
"BSD-3-Clause"
] | null | null | null | """Datasets to be used in search and related functions"""
from .DATASET import * | 27 | 57 | 0.740741 |
404411fc8cdef43afe8b983d66104ed1efd7c616 | 16,089 | py | Python | cell2cell/plotting/cci_plot.py | ckmah/cell2cell | ce18bbb63e12f9b1da8699567dec9a2a8b78f824 | [
"BSD-3-Clause"
] | 16 | 2020-09-30T01:53:43.000Z | 2022-03-25T09:58:54.000Z | cell2cell/plotting/cci_plot.py | ckmah/cell2cell | ce18bbb63e12f9b1da8699567dec9a2a8b78f824 | [
"BSD-3-Clause"
] | 2 | 2021-08-09T21:26:54.000Z | 2021-11-08T14:47:39.000Z | cell2cell/plotting/cci_plot.py | ckmah/cell2cell | ce18bbb63e12f9b1da8699567dec9a2a8b78f824 | [
"BSD-3-Clause"
] | 3 | 2021-11-08T07:47:44.000Z | 2022-03-30T18:40:00.000Z | # -*- coding: utf-8 -*-
import matplotlib as mpl
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
from cell2cell.clustering import compute_linkage
from cell2cell.preprocessing.manipulate_dataframes import check_symmetry
from cell2cell.plotting.aesthetics import map_col... | 38.307143 | 122 | 0.605134 |
40465e4dbbb9334d5135c8ffe536947ae617c71d | 1,051 | py | Python | var/spack/repos/builtin.mock/packages/gnuconfig/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin.mock/packages/gnuconfig/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 8 | 2021-11-09T20:28:40.000Z | 2022-03-15T03:26:33.000Z | var/spack/repos/builtin.mock/packages/gnuconfig/package.py | jeanbez/spack | f4e51ce8f366c85bf5aa0eafe078677b42dae1ba | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2019-02-08T20:37:20.000Z | 2019-03-31T15:19:26.000Z | # Copyright 2013-2022 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)
import os
from spack.package import *
| 29.194444 | 78 | 0.669838 |
40472eab6c9976684dd368889d9c68536758019e | 378 | py | Python | mp4box/parsing/ctts.py | abhijeetbhagat/mp4box | 841ff0ef70c7f5a96548f47414bba69c00aa2f5e | [
"BSD-3-Clause"
] | 7 | 2019-08-14T03:03:51.000Z | 2021-11-14T19:10:00.000Z | mp4box/parsing/ctts.py | wanyhamo/mp4box | c5c73cd37c01bd9d637f1f3ed82221065dc86d6f | [
"BSD-3-Clause"
] | 10 | 2019-08-03T16:27:08.000Z | 2019-09-10T10:05:23.000Z | mp4box/parsing/ctts.py | abhijeetbhagat/mp4box | 841ff0ef70c7f5a96548f47414bba69c00aa2f5e | [
"BSD-3-Clause"
] | 7 | 2019-08-19T17:58:03.000Z | 2021-03-03T07:25:54.000Z | from mp4box.box import CompositionTimeToSampleBox
| 29.076923 | 58 | 0.693122 |
4047883a8f6ee83210f65d3f654ff142172cb4a8 | 24,485 | py | Python | MsLightweaverManager.py | Goobley/MsLightweaver | 6383867ba2a7ab00df947c8470b438d9eadcc321 | [
"MIT"
] | null | null | null | MsLightweaverManager.py | Goobley/MsLightweaver | 6383867ba2a7ab00df947c8470b438d9eadcc321 | [
"MIT"
] | 1 | 2020-05-05T13:49:54.000Z | 2021-04-29T12:41:40.000Z | MsLightweaverManager.py | Goobley/MsLightweaver | 6383867ba2a7ab00df947c8470b438d9eadcc321 | [
"MIT"
] | null | null | null | import pickle
import numpy as np
import matplotlib.pyplot as plt
from lightweaver.rh_atoms import H_6_atom, C_atom, O_atom, OI_ord_atom, Si_atom, Al_atom, Fe_atom, FeI_atom, MgII_atom, N_atom, Na_atom, S_atom, CaII_atom
from lightweaver.atmosphere import Atmosphere, ScaleType
from lightweaver.atomic_table import Defaul... | 37.611367 | 260 | 0.575128 |
404999f8afb17c0ba6be91ab0f875db288f28bae | 1,895 | py | Python | common/writeExcel.py | lixiaofeng1993/DjangoBlog | 94d062324367b8a30edf8d29e2e661c822bcb7c1 | [
"MIT"
] | null | null | null | common/writeExcel.py | lixiaofeng1993/DjangoBlog | 94d062324367b8a30edf8d29e2e661c822bcb7c1 | [
"MIT"
] | 6 | 2020-06-06T00:44:08.000Z | 2022-01-13T01:52:46.000Z | common/writeExcel.py | lixiaofeng1993/DjangoBlog | 94d062324367b8a30edf8d29e2e661c822bcb7c1 | [
"MIT"
] | null | null | null | # coding:utf-8
from openpyxl import load_workbook
import openpyxl
from openpyxl.styles import Font, colors
def copy_excel(cese_path, report_path):
"""
report_path
:param cese_path:
:param report_path:
:return:
"""
wb2 = openpyxl.Workbook()
wb2.save(report_path) # excel
#
wb1 ... | 28.712121 | 65 | 0.601055 |
404a28cfcd9e972210d8ead53be99918c37812fc | 1,904 | py | Python | test/cts/tool/CTSConverter/src/nn/specs/V1_1/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py | zhaoming0/webml-polyfill | 56cf96eff96665da0f5fd7ef86fd5748f4bd22b9 | [
"Apache-2.0"
] | 255 | 2020-05-22T07:45:29.000Z | 2022-03-29T23:58:22.000Z | test/cts/tool/CTSConverter/src/nn/specs/V1_1/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py | zhaoming0/webml-polyfill | 56cf96eff96665da0f5fd7ef86fd5748f4bd22b9 | [
"Apache-2.0"
] | 5,102 | 2020-05-22T07:48:33.000Z | 2022-03-31T23:43:39.000Z | test/cts/tool/CTSConverter/src/nn/specs/V1_1/depthwise_conv2d_float_weights_as_inputs_relaxed.mod.py | ibelem/webml-polyfill | aaf1ba4f5357eaf6e89bf9990f5bdfb543cd2bc2 | [
"Apache-2.0"
] | 120 | 2020-05-22T07:51:08.000Z | 2022-02-16T19:08:05.000Z | #
# Copyright (C) 2018 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 31.733333 | 74 | 0.56355 |
404a73f48e1b3ca8bb85958c0c604a1931f4d34f | 1,450 | py | Python | jina/executors/evaluators/rank/recall.py | sdsd0101/jina | 1a835d9015c627a2cbcdc58ee3d127962ada1bc9 | [
"Apache-2.0"
] | 2 | 2020-10-19T17:06:19.000Z | 2020-10-22T14:10:55.000Z | jina/executors/evaluators/rank/recall.py | ayansiddiqui007/jina | 2a764410de47cc11e53c8f652ea1095d5dab5435 | [
"Apache-2.0"
] | null | null | null | jina/executors/evaluators/rank/recall.py | ayansiddiqui007/jina | 2a764410de47cc11e53c8f652ea1095d5dab5435 | [
"Apache-2.0"
] | null | null | null | from typing import Sequence, Any
from jina.executors.evaluators.rank import BaseRankingEvaluator
from jina.executors.evaluators.decorators import as_aggregator
| 35.365854 | 117 | 0.648966 |
404be03a1fd1048c68239ebc361551f5a1526980 | 270 | py | Python | tests/schema_mapping/structures/example5.py | danny-vayu/typedpy | e97735a742acbd5f1133e23f08cf43836476686a | [
"MIT"
] | null | null | null | tests/schema_mapping/structures/example5.py | danny-vayu/typedpy | e97735a742acbd5f1133e23f08cf43836476686a | [
"MIT"
] | null | null | null | tests/schema_mapping/structures/example5.py | danny-vayu/typedpy | e97735a742acbd5f1133e23f08cf43836476686a | [
"MIT"
] | null | null | null | from typedpy import Array, DoNotSerialize, Structure, mappers
| 20.769231 | 73 | 0.674074 |
404bea024a89b873fc6d227cd6a12a54af3b3b8c | 3,447 | py | Python | src/semantic_parsing_with_constrained_lm/eval.py | microsoft/semantic_parsing_with_constrained_lm | 7e3c099500c3102e46d7a47469fe6840580c2b11 | [
"MIT"
] | 17 | 2021-09-22T13:08:37.000Z | 2022-03-27T10:39:53.000Z | src/semantic_parsing_with_constrained_lm/eval.py | microsoft/semantic_parsing_with_constrained_lm | 7e3c099500c3102e46d7a47469fe6840580c2b11 | [
"MIT"
] | 1 | 2022-03-12T01:05:15.000Z | 2022-03-12T01:05:15.000Z | src/semantic_parsing_with_constrained_lm/eval.py | microsoft/semantic_parsing_with_constrained_lm | 7e3c099500c3102e46d7a47469fe6840580c2b11 | [
"MIT"
] | 1 | 2021-12-16T22:26:54.000Z | 2021-12-16T22:26:54.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import dataclasses
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, Generic, List, Optional, Sequence, TypeVar
from semantic_parsing_with_constrained_lm.datum import FullDatum, FullDatumSub
from sema... | 32.214953 | 81 | 0.630403 |
404c32173164735222505b93f1ef2b7219cec987 | 8,913 | py | Python | lib/surface/spanner/operations/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/surface/spanner/operations/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/surface/spanner/operations/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | # -*- coding: utf-8 -*- #
# Copyright 2016 Google LLC. 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 requir... | 37.766949 | 95 | 0.674072 |
404cc5bda9dc3a1cc2cecd17725e8022aeed3ad0 | 49,844 | py | Python | pgmpy/tests/test_models/test_SEM.py | predictive-analytics-lab/pgmpy | 6c2a31641adc72793acd130d007190fdb1632271 | [
"MIT"
] | null | null | null | pgmpy/tests/test_models/test_SEM.py | predictive-analytics-lab/pgmpy | 6c2a31641adc72793acd130d007190fdb1632271 | [
"MIT"
] | null | null | null | pgmpy/tests/test_models/test_SEM.py | predictive-analytics-lab/pgmpy | 6c2a31641adc72793acd130d007190fdb1632271 | [
"MIT"
] | null | null | null | import os
import unittest
import numpy as np
import networkx as nx
import numpy.testing as npt
from pgmpy.models import SEM, SEMGraph, SEMAlg
| 41.536667 | 100 | 0.455862 |
404d173b85da7aa2302b72d549875f4086a67bcc | 1,790 | py | Python | data_scripts/translation.py | wangcongcong123/transection | 3b931ce09c9b5e03ec6afdea6f58a317ad07361b | [
"MIT"
] | 4 | 2021-01-11T06:21:27.000Z | 2021-12-19T17:49:07.000Z | data_scripts/translation.py | wangcongcong123/transection | 3b931ce09c9b5e03ec6afdea6f58a317ad07361b | [
"MIT"
] | null | null | null | data_scripts/translation.py | wangcongcong123/transection | 3b931ce09c9b5e03ec6afdea6f58a317ad07361b | [
"MIT"
] | 2 | 2021-01-21T02:48:49.000Z | 2021-03-19T09:45:52.000Z | # coding=utf-8
# This script is finished following HF's datasets' template:
# https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py
# More examples as references to write a customized dataset can be found here:
# https://github.com/huggingface/datasets/tree/master/datasets
from __future__... | 32.545455 | 103 | 0.622346 |
404f20db207c728bba35266d11df1248aa4d138a | 7,941 | py | Python | utils/chat_formatting.py | lyricalpaws/snekbot | 704197777dbaa284d163a95642e224d6efe2c4b2 | [
"MIT"
] | 13 | 2018-11-26T15:55:28.000Z | 2022-02-05T16:07:02.000Z | utils/chat_formatting.py | lyricalpaws/snekbot | 704197777dbaa284d163a95642e224d6efe2c4b2 | [
"MIT"
] | 8 | 2018-11-12T19:04:01.000Z | 2018-11-23T15:11:55.000Z | utils/chat_formatting.py | lyricalpaws/snekbot | 704197777dbaa284d163a95642e224d6efe2c4b2 | [
"MIT"
] | 23 | 2019-01-01T23:53:37.000Z | 2022-03-12T14:52:45.000Z | import itertools
from typing import Sequence, Iterator
# Source: https://github.com/Cog-Creators/Red-DiscordBot/blob/V3/develop/redbot/core/utils/chat_formatting.py
def error(text: str) -> str:
"""Get text prefixed with an error emoji.
Returns
-------
str
The new message.
"""
return "... | 27.28866 | 109 | 0.546783 |
404ff68f947024e93fe50b765fa029be24f36c84 | 35,410 | py | Python | strategy/trade/strategymargintrade.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | strategy/trade/strategymargintrade.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | strategy/trade/strategymargintrade.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | # @date 2018-12-28
# @author Frederic Scherma, All rights reserved without prejudices.
# @license Copyright (c) 2018 Dream Overflow
# Strategy trade for margin with multiples positions.
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Tuple
if TYPE_CHECKING:
from trader.trader impor... | 37.352321 | 119 | 0.553347 |
4050379eb6d6d6226db82e9fbcbba3933c358e43 | 718 | py | Python | src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py | jvanasco/pyramid_debugtoolbar_api_sqla | 286a7e4ee32e7dd64f31813c46d59e0651534cbd | [
"MIT"
] | null | null | null | src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py | jvanasco/pyramid_debugtoolbar_api_sqla | 286a7e4ee32e7dd64f31813c46d59e0651534cbd | [
"MIT"
] | null | null | null | src/pyramid_debugtoolbar_api_sqlalchemy/__init__.py | jvanasco/pyramid_debugtoolbar_api_sqla | 286a7e4ee32e7dd64f31813c46d59e0651534cbd | [
"MIT"
] | null | null | null | # local
from .panels import SqlalchemyCsvDebugPanel
__VERSION__ = "0.3.1"
# ==============================================================================
def includeme(config):
"""
Pyramid hook to install this debugtoolbar plugin.
Update your ENVIRONMENT.ini file
debugtoolbar.includes = pyr... | 24.758621 | 80 | 0.558496 |
4050460227ae968820c1eb94e5dff24549e4e557 | 1,165 | py | Python | ultron/utilities/zlib_engine.py | wangjiehui11235/ultron | ade46fdcff7eaf01187cdf9b9fb1d6a04ae972b7 | [
"Apache-2.0"
] | 4 | 2019-06-06T09:38:49.000Z | 2022-01-29T00:02:11.000Z | ultron/utilities/zlib_engine.py | wangjiehui11235/ultron | ade46fdcff7eaf01187cdf9b9fb1d6a04ae972b7 | [
"Apache-2.0"
] | 1 | 2022-02-11T03:43:10.000Z | 2022-02-11T03:43:10.000Z | ultron/utilities/zlib_engine.py | wangjiehui11235/ultron | ade46fdcff7eaf01187cdf9b9fb1d6a04ae972b7 | [
"Apache-2.0"
] | 8 | 2019-06-02T13:11:00.000Z | 2021-11-11T01:06:22.000Z | # -*- coding: utf-8 -*-
import os,os.path
import zipfile | 32.361111 | 66 | 0.581974 |
4050b29c16a41f96705714cdbf17492431b85f0e | 1,985 | py | Python | scripts/instances2inventory.py | TipaZloy/coda-automation | 20c00a92f2e3088e205677c0db96b3ed5c82b238 | [
"Apache-2.0"
] | null | null | null | scripts/instances2inventory.py | TipaZloy/coda-automation | 20c00a92f2e3088e205677c0db96b3ed5c82b238 | [
"Apache-2.0"
] | null | null | null | scripts/instances2inventory.py | TipaZloy/coda-automation | 20c00a92f2e3088e205677c0db96b3ed5c82b238 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import boto
import boto.ec2
import sys
from pprint import pprint
from collections import defaultdict
output = defaultdict(lambda: [])
comments = defaultdict(lambda: {})
skip_region_strings = ['us-gov', 'cn-', 'ca-']
#skip_region_strings = ['us-gov', 'cn-', 'ca-', 'eu-', 'ap-']
if len(sys.arg... | 25.126582 | 144 | 0.602519 |
4050f12cd3fda3e62426b196e960faffe455d7f7 | 938 | py | Python | selfdrive/crash.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 19 | 2020-08-05T12:11:58.000Z | 2022-03-07T01:18:56.000Z | selfdrive/crash.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 18 | 2020-08-20T05:17:38.000Z | 2021-12-06T09:02:00.000Z | selfdrive/crash.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 25 | 2020-08-30T09:10:14.000Z | 2022-02-20T02:31:13.000Z | """Install exception handler for process crash."""
from selfdrive.swaglog import cloudlog
from selfdrive.version import version
import sentry_sdk
from sentry_sdk.integrations.threading import ThreadingIntegration
| 33.5 | 102 | 0.735608 |
4051ffa508f128d4ca3a6951f908adec0dd2fce3 | 1,235 | py | Python | 0000_examples/grasping_antipodal_planning.py | huzhengtao14z/wrs | d567787ca41818f1756c325b304215faf7f10f29 | [
"MIT"
] | null | null | null | 0000_examples/grasping_antipodal_planning.py | huzhengtao14z/wrs | d567787ca41818f1756c325b304215faf7f10f29 | [
"MIT"
] | null | null | null | 0000_examples/grasping_antipodal_planning.py | huzhengtao14z/wrs | d567787ca41818f1756c325b304215faf7f10f29 | [
"MIT"
] | null | null | null | import math
import visualization.panda.world as wd
import modeling.geometric_model as gm
import modeling.collision_model as cm
import grasping.planning.antipodal as gpa
import robot_sim.end_effectors.grippers.yumi_gripper.yumi_gripper as yg
base = wd.World(cam_pos=[1, 1, 1],w=960,
h=540, lookat_pos=[0... | 44.107143 | 95 | 0.701215 |
40544e3050932f38de418744707458dee5d3337b | 60,103 | py | Python | keystone/assignment/core.py | pritha-srivastava/keystone | 69abe058328954becdea13cc245459f2ba2342fc | [
"Apache-2.0"
] | null | null | null | keystone/assignment/core.py | pritha-srivastava/keystone | 69abe058328954becdea13cc245459f2ba2342fc | [
"Apache-2.0"
] | null | null | null | keystone/assignment/core.py | pritha-srivastava/keystone | 69abe058328954becdea13cc245459f2ba2342fc | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 44.520741 | 79 | 0.606842 |
4059ed80d6a8d54038d707dea3406a21f8501339 | 3,193 | py | Python | single-shot-pose/lib/linemod_dataset.py | take-cheeze/models | 3ded8fd062c57f20f6154cac2dd0d998181de755 | [
"MIT"
] | 112 | 2018-04-18T07:13:03.000Z | 2022-03-11T03:36:34.000Z | single-shot-pose/lib/linemod_dataset.py | take-cheeze/models | 3ded8fd062c57f20f6154cac2dd0d998181de755 | [
"MIT"
] | 16 | 2018-05-11T11:41:08.000Z | 2021-04-24T03:50:54.000Z | single-shot-pose/lib/linemod_dataset.py | take-cheeze/models | 3ded8fd062c57f20f6154cac2dd0d998181de755 | [
"MIT"
] | 45 | 2018-04-18T07:13:06.000Z | 2021-12-22T03:46:18.000Z | import numpy as np
import os
from chainercv.chainer_experimental.datasets.sliceable import GetterDataset
from chainercv.utils import read_image
linemod_object_diameters = {
'ape': 0.103,
'benchvise': 0.286908,
'cam': 0.173,
'can': 0.202,
'cat': 0.155,
'driller': 0.262,
'duck': 0.109,
... | 30.409524 | 75 | 0.551832 |
405b957bd7045b5d856865ed3de04736c0fcea38 | 10,857 | py | Python | DQM/BeamMonitor/test/44X_beam_dqm_sourceclient-live_cfg.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | DQM/BeamMonitor/test/44X_beam_dqm_sourceclient-live_cfg.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | DQM/BeamMonitor/test/44X_beam_dqm_sourceclient-live_cfg.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
process = cms.Process("BeamMonitor")
#----------------------------
# Common part for PP and H.I Running
#-----------------------------
process.load("DQM.Integration.test.inputsource_cfi")
#--------------------------
# HLT Filter
process.load("HLTrigger.special.HLTTriggerType... | 42.410156 | 127 | 0.644377 |
405c6e44b37edbad093dd87de80a9e8b880c990d | 3,036 | py | Python | tests/routes/test_hackers.py | TorrentofShame/hackathon-2021-backend | a85989421df8ad900b01ad026dbe713312b0a54e | [
"MIT"
] | null | null | null | tests/routes/test_hackers.py | TorrentofShame/hackathon-2021-backend | a85989421df8ad900b01ad026dbe713312b0a54e | [
"MIT"
] | null | null | null | tests/routes/test_hackers.py | TorrentofShame/hackathon-2021-backend | a85989421df8ad900b01ad026dbe713312b0a54e | [
"MIT"
] | null | null | null | # flake8: noqa
import json
from src.models.hacker import Hacker
from tests.base import BaseTestCase
from datetime import datetime
| 28.641509 | 96 | 0.560606 |
405e5ce74a48720ac95f86fcad8f93d05cb3edfc | 13,330 | py | Python | open_cp/sources/chicago.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 18 | 2017-04-19T09:17:19.000Z | 2021-05-24T08:53:28.000Z | open_cp/sources/chicago.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 8 | 2017-06-11T17:46:35.000Z | 2021-06-07T10:49:10.000Z | open_cp/sources/chicago.py | sumau/PredictCode | e2a2d5a8fa5d83f011c33e18d4ce6ac7e1429aa8 | [
"Artistic-2.0"
] | 10 | 2017-07-19T18:29:37.000Z | 2020-11-12T22:06:45.000Z | """
sources.chicago
===============
Reads a CSV file in the format (as of April 2017) of data available from:
- https://catalog.data.gov/dataset/crimes-one-year-prior-to-present-e171f
- https://catalog.data.gov/dataset/crimes-2001-to-present-398a4
The default data is loaded from a file "chicago.csv" which should be ... | 37.130919 | 113 | 0.641485 |
405e96dac8375ff59b836544a212c81d70fbb3ff | 2,140 | py | Python | Codility/Lesson/0011.Sieve-of-Eratosthenes/CountSemiprimes/CountSemiprimes.py | kimi0230/LeetcodeGolang | 2b276e49b67d7f66731ce6c629cd1390642af230 | [
"MIT"
] | 4 | 2021-07-21T01:16:11.000Z | 2022-01-11T07:43:51.000Z | Codility/Lesson/0011.Sieve-of-Eratosthenes/CountSemiprimes/CountSemiprimes.py | kimi0230/LeetcodeGolang | 2b276e49b67d7f66731ce6c629cd1390642af230 | [
"MIT"
] | null | null | null | Codility/Lesson/0011.Sieve-of-Eratosthenes/CountSemiprimes/CountSemiprimes.py | kimi0230/LeetcodeGolang | 2b276e49b67d7f66731ce6c629cd1390642af230 | [
"MIT"
] | null | null | null | # https://github.com/Anfany/Codility-Lessons-By-Python3/blob/master/L11_Sieve%20of%20Eratosthenes/11.2%20CountSemiprimes.md
def solution(N, P, Q):
"""
PQN, O(N * log(log(N)) + M)
:param N:
:param P:
:param Q:
:return: ,
"""
# 34(1, 3, 9, 27)(1, 5, 25, 125)
# N0
semi_prime = ... | 33.4375 | 191 | 0.482243 |
4060cef76afd120f8b88cf8abb7104b1c967dfca | 2,614 | py | Python | src/zope/formlib/errors.py | zopefoundation/zope.formlib | af2d587a6eb24e59e95a8b1feb7aafc5d3b87ba4 | [
"ZPL-2.1"
] | 4 | 2018-05-09T04:16:25.000Z | 2021-03-05T17:27:21.000Z | src/zope/formlib/errors.py | zopefoundation/zope.formlib | af2d587a6eb24e59e95a8b1feb7aafc5d3b87ba4 | [
"ZPL-2.1"
] | 25 | 2016-03-24T15:23:08.000Z | 2021-03-05T16:53:53.000Z | src/zope/formlib/errors.py | zopefoundation/zope.formlib | af2d587a6eb24e59e95a8b1feb7aafc5d3b87ba4 | [
"ZPL-2.1"
] | 5 | 2015-02-11T13:32:06.000Z | 2018-05-09T04:16:26.000Z | ##############################################################################
#
# Copyright (c) 2006 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... | 34.394737 | 78 | 0.653405 |
4061946ebfbadada4a68b023604bd5475c508749 | 6,090 | py | Python | src/packagedcode/about.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | src/packagedcode/about.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | src/packagedcode/about.py | sthagen/nexB-scancode-toolkit | 12cc1286df78af898fae76fa339da2bb50ad51b9 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# ScanCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/scancode-toolkit for support or download.
# See https://aboutcode.org for more in... | 36.25 | 98 | 0.621182 |
4061e49b5b1d7dddbcbb3f8df2b62b73c065877a | 2,359 | py | Python | gazepattern/eyedetector/admin.py | AriRodriguezCruz/mcfgpr | c6f83f8e68bbab0054a7ea337feab276fc0790fc | [
"MIT"
] | null | null | null | gazepattern/eyedetector/admin.py | AriRodriguezCruz/mcfgpr | c6f83f8e68bbab0054a7ea337feab276fc0790fc | [
"MIT"
] | 12 | 2020-06-05T22:56:39.000Z | 2022-02-10T10:35:13.000Z | gazepattern/eyedetector/admin.py | AriRodriguezCruz/mcfgpr | c6f83f8e68bbab0054a7ea337feab276fc0790fc | [
"MIT"
] | 1 | 2019-10-06T23:40:45.000Z | 2019-10-06T23:40:45.000Z | # -*- coding: utf-8 -*-
#django
from django.contrib import admin
from django.db import transaction
#python
import csv
from decimal import Decimal
#gazepattern
from .models import Experiment, ExperimentPoint, Image, ImageRectangle, ExperimentPointCSV, ExperimentFunction
procesar.short_description = "Procesar CSV para ... | 31.878378 | 110 | 0.676982 |
4061ef1026efc595fdfdf42014af88613e5012a6 | 2,634 | py | Python | orders/tests/test_views.py | ms0680146/Order_System | 934c3849ad0d72c0ce560706a6857870935e8599 | [
"MIT"
] | null | null | null | orders/tests/test_views.py | ms0680146/Order_System | 934c3849ad0d72c0ce560706a6857870935e8599 | [
"MIT"
] | null | null | null | orders/tests/test_views.py | ms0680146/Order_System | 934c3849ad0d72c0ce560706a6857870935e8599 | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.urls import reverse
from orders.models import Order, OrderItem
from datetime import datetime
from django.utils.timezone import get_current_timezone
import pytz | 34.207792 | 118 | 0.612756 |
406203c920d38242adfa5e5ed2a39070a52fd1c1 | 373 | py | Python | codigo/hexagonal/app/adapter/light_bulb_repository.py | VulturARG/charla_01 | 43a53fded4f3205a02b00993a523e2f94b79fc99 | [
"Apache-2.0"
] | null | null | null | codigo/hexagonal/app/adapter/light_bulb_repository.py | VulturARG/charla_01 | 43a53fded4f3205a02b00993a523e2f94b79fc99 | [
"Apache-2.0"
] | null | null | null | codigo/hexagonal/app/adapter/light_bulb_repository.py | VulturARG/charla_01 | 43a53fded4f3205a02b00993a523e2f94b79fc99 | [
"Apache-2.0"
] | null | null | null | from codigo.hexagonal.app.domain.switchable_repository import Switchable
| 26.642857 | 72 | 0.646113 |
4062ba894ee618c56f6c5822e3859495a6c3298f | 541 | py | Python | aula12/ex1.py | otaviobizulli/python-exercices | 2c61f014bf481fa463721b174ddd4238bf8d0cb3 | [
"MIT"
] | null | null | null | aula12/ex1.py | otaviobizulli/python-exercices | 2c61f014bf481fa463721b174ddd4238bf8d0cb3 | [
"MIT"
] | null | null | null | aula12/ex1.py | otaviobizulli/python-exercices | 2c61f014bf481fa463721b174ddd4238bf8d0cb3 | [
"MIT"
] | null | null | null | from random import randint
menor = 100
linha = 0
maior = 0
m = []
for i in range(10):
m.append([])
for j in range(10):
m[i].append(randint(1,99))
for i in range(10):
for j in range(10):
print(f'{m[i][j]:2}',end=' ')
print()
for i in range(10):
for j in range(10):
if m[i][j... | 16.393939 | 76 | 0.51756 |
4063e065b5e1d8a9952507fe4d95419e55a2613a | 1,153 | py | Python | src/token_classification/format.py | adriens63/BERT_fine_tuning_for_MLM_and_token_classification | 89ff0d8ed12da370b1f8757ae9db8d725143a5bb | [
"Apache-2.0"
] | null | null | null | src/token_classification/format.py | adriens63/BERT_fine_tuning_for_MLM_and_token_classification | 89ff0d8ed12da370b1f8757ae9db8d725143a5bb | [
"Apache-2.0"
] | 1 | 2021-12-10T15:26:05.000Z | 2021-12-10T15:26:05.000Z | src/token_classification/format.py | adriens63/BERT_fine_tuning_for_MLM_and_token_classification | 89ff0d8ed12da370b1f8757ae9db8d725143a5bb | [
"Apache-2.0"
] | 3 | 2021-12-05T12:43:23.000Z | 2021-12-10T15:42:40.000Z | import os.path as osp
import argparse
import yaml
from src.token_classification.archs.data_formatter import *
# ********************* launch formating ***********************
# cmd to launch : python -m src.token_classification.format --config ./src/token_classification/config/config.yml
if __name__ == '__main__... | 32.942857 | 142 | 0.674761 |
4063f5350f19ec0fcf289e841719b7191b72872c | 6,393 | py | Python | add.py | cleolepart/timedomain | 340e3fa614bca2dc333c9723893951318356dccf | [
"MIT"
] | null | null | null | add.py | cleolepart/timedomain | 340e3fa614bca2dc333c9723893951318356dccf | [
"MIT"
] | null | null | null | add.py | cleolepart/timedomain | 340e3fa614bca2dc333c9723893951318356dccf | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import os, sys, time
import numpy as np
import scipy.sparse
import scipy.linalg
import scipy.sparse.linalg
from astropy.table import Table, Column
import multiprocessing
from desiutil.log import get_logger
from desispec.interpolation import resample... | 40.980769 | 126 | 0.552323 |
40642da36f0613fe957f14edea19df84f13b530a | 2,525 | py | Python | pontoon/pretranslation/tests/test_pretranslate.py | timvisee/pontoon | aec1ef7b5c5d56c3be28fecf1147945d2622bbad | [
"BSD-3-Clause"
] | null | null | null | pontoon/pretranslation/tests/test_pretranslate.py | timvisee/pontoon | aec1ef7b5c5d56c3be28fecf1147945d2622bbad | [
"BSD-3-Clause"
] | null | null | null | pontoon/pretranslation/tests/test_pretranslate.py | timvisee/pontoon | aec1ef7b5c5d56c3be28fecf1147945d2622bbad | [
"BSD-3-Clause"
] | null | null | null | from mock import patch
import pytest
from pontoon.base.models import User
from pontoon.pretranslation.pretranslate import get_translations
from pontoon.test.factories import (
EntityFactory,
TranslationMemoryFactory,
)
| 34.121622 | 87 | 0.693069 |
406526a2d40a76aa8b9a7ce0c6aadecb3ce65af4 | 9,615 | py | Python | cubes/common.py | digitalsatori/cubes | 140133e8c2e3f2ff60631cc3ebc9966d16c1655e | [
"MIT"
] | 1,020 | 2015-01-02T03:05:26.000Z | 2022-02-12T18:48:51.000Z | cubes/common.py | digitalsatori/cubes | 140133e8c2e3f2ff60631cc3ebc9966d16c1655e | [
"MIT"
] | 259 | 2015-01-02T22:35:14.000Z | 2021-09-02T04:20:41.000Z | cubes/common.py | digitalsatori/cubes | 140133e8c2e3f2ff60631cc3ebc9966d16c1655e | [
"MIT"
] | 288 | 2015-01-08T00:42:26.000Z | 2022-03-31T17:25:10.000Z | # -*- encoding: utf-8 -*-
"""Utility functions for computing combinations of dimensions and hierarchy
levels"""
from __future__ import absolute_import
import re
import os.path
import json
from collections import OrderedDict
from .errors import ModelInconsistencyError, ArgumentError, ConfigurationError
from . impor... | 30.141066 | 83 | 0.584191 |
40665e1c58be6db40c3e5c0613a58755896c8a6f | 4,366 | py | Python | wavenet_iaf.py | Ella77/ClariNet | 1a2eea899f5c28b34beb6fb08725f38309e7e053 | [
"MIT"
] | 126 | 2019-05-23T03:37:43.000Z | 2021-08-02T20:15:22.000Z | wavenet_iaf.py | Ella77/ClariNet | 1a2eea899f5c28b34beb6fb08725f38309e7e053 | [
"MIT"
] | 4 | 2019-06-05T11:30:51.000Z | 2022-03-17T09:01:29.000Z | wavenet_iaf.py | Ella77/ClariNet | 1a2eea899f5c28b34beb6fb08725f38309e7e053 | [
"MIT"
] | 24 | 2019-05-23T03:37:39.000Z | 2021-12-23T22:29:01.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from modules import Conv, ResBlock
| 39.690909 | 111 | 0.584517 |
4066b6af1e7dfd680248198011c778dca827452b | 828 | py | Python | tests/__init__.py | ybelleguic/openbrokerapi | 9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc | [
"MIT"
] | 36 | 2017-10-06T15:16:21.000Z | 2021-07-30T16:25:59.000Z | tests/__init__.py | ybelleguic/openbrokerapi | 9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc | [
"MIT"
] | 167 | 2017-09-28T23:38:33.000Z | 2022-03-28T21:18:49.000Z | tests/__init__.py | ybelleguic/openbrokerapi | 9d6019dd1b6649c9d0cb0dee4b3236e0ee209dbc | [
"MIT"
] | 26 | 2017-09-29T13:46:38.000Z | 2022-01-05T08:49:25.000Z | try:
from gevent import monkey
monkey.patch_all()
except ImportError:
# fine if no gevent is available
pass
import base64
import logging
from unittest.mock import Mock
from flask.app import Flask
from flask_testing import TestCase
from openbrokerapi.api import BrokerCredentials
from openbrokerapi.log... | 23.657143 | 67 | 0.641304 |
4067311b4e6925a510e59163839cef51d453a910 | 5,234 | py | Python | ansible/lib/ansible/modules/extras/network/f5/bigip_gtm_wide_ip.py | kiv-box/kafka | debec1c4bc8c43776070ee447a53b55fef42bd52 | [
"Apache-2.0"
] | null | null | null | ansible/lib/ansible/modules/extras/network/f5/bigip_gtm_wide_ip.py | kiv-box/kafka | debec1c4bc8c43776070ee447a53b55fef42bd52 | [
"Apache-2.0"
] | null | null | null | ansible/lib/ansible/modules/extras/network/f5/bigip_gtm_wide_ip.py | kiv-box/kafka | debec1c4bc8c43776070ee447a53b55fef42bd52 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# (c) 2015, Michael Perzel
#
# This file is part of Ansible
#
# Ansible 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 3 of the License, or
# (at you... | 31.914634 | 97 | 0.643676 |
4067cec9a6ceb8438c7e66edc2d29eb2148964ae | 1,323 | py | Python | sql/src/test/resources/joins/create_sample_table.py | MichelaSalvemini/Modelli_project | b70d505f9c3fef4a5f857fdccaa60b1b64c8a71d | [
"Apache-2.0"
] | 677 | 2016-01-04T04:05:50.000Z | 2022-03-24T06:37:27.000Z | sql/src/test/resources/joins/create_sample_table.py | MichelaSalvemini/Modelli_project | b70d505f9c3fef4a5f857fdccaa60b1b64c8a71d | [
"Apache-2.0"
] | 249 | 2015-12-29T03:41:31.000Z | 2020-09-02T03:11:30.000Z | sql/src/test/resources/joins/create_sample_table.py | MichelaSalvemini/Modelli_project | b70d505f9c3fef4a5f857fdccaa60b1b64c8a71d | [
"Apache-2.0"
] | 148 | 2015-12-29T03:25:48.000Z | 2021-08-25T03:59:52.000Z | #! /usr/bin/env python
from __future__ import print_function
import pandas as pd
import numpy as np
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Generate sample tables to test joins.')
parser.add_argument('--num-rows', '-r', type=int, default=100)
par... | 30.068182 | 77 | 0.670446 |
4067fffb2bd9b7aaa8d3273ea742884e5f876e2d | 1,219 | py | Python | Advanced/1- Introduction/5- Index_words.py | AlirezaMojtabavi/Python_Practice | c0128d6ce4cf172d93cc4e48861e7980e8e016a2 | [
"MIT"
] | null | null | null | Advanced/1- Introduction/5- Index_words.py | AlirezaMojtabavi/Python_Practice | c0128d6ce4cf172d93cc4e48861e7980e8e016a2 | [
"MIT"
] | null | null | null | Advanced/1- Introduction/5- Index_words.py | AlirezaMojtabavi/Python_Practice | c0128d6ce4cf172d93cc4e48861e7980e8e016a2 | [
"MIT"
] | 1 | 2020-11-14T07:19:26.000Z | 2020-11-14T07:19:26.000Z |
indexWords = list()
phrase = str(input())
phraseList = phrase.split(" ")
length = len(phraseList)
for item in phraseList :
item = item.strip()
if phrase != "" :
for i in range(1, length-1) :
lengthOfWord = len(phraseList[i])
if phraseList[i][0].isupper() :
if PreviousWord(... | 31.25641 | 74 | 0.538966 |
40686bfbfab402b52cf133e6f6f5366a147289d1 | 14,107 | py | Python | appengine/findit/handlers/test/completed_build_pubsub_ingestor_test.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | null | null | null | appengine/findit/handlers/test/completed_build_pubsub_ingestor_test.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | 4 | 2022-03-17T18:58:21.000Z | 2022-03-17T18:58:22.000Z | appengine/findit/handlers/test/completed_build_pubsub_ingestor_test.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import base64
import json
import mock
import webapp2
from google.appengine.api import taskqueue
from go.chromium.org.luci.buildbucket.proto.build_pb2 impor... | 40.654179 | 78 | 0.607712 |
40686c4879d63aced85e26a35f076b9028592fdb | 24,660 | py | Python | sdk/python/pulumi_azure_native/containerservice/v20191027preview/open_shift_managed_cluster.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/containerservice/v20191027preview/open_shift_managed_cluster.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/containerservice/v20191027preview/open_shift_managed_cluster.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"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, overload
from ... import _utilities
fro... | 47.514451 | 856 | 0.679927 |
40686f7cd56545ec9981f33c3903dd74fd6b1048 | 326 | py | Python | django_drf_server/quiz/migrations/0017_remove_quiz_questions.py | pammalPrasanna/quizie | 3c03552c39ef3d7e613f5b613479df4ef8d44ac1 | [
"MIT"
] | null | null | null | django_drf_server/quiz/migrations/0017_remove_quiz_questions.py | pammalPrasanna/quizie | 3c03552c39ef3d7e613f5b613479df4ef8d44ac1 | [
"MIT"
] | null | null | null | django_drf_server/quiz/migrations/0017_remove_quiz_questions.py | pammalPrasanna/quizie | 3c03552c39ef3d7e613f5b613479df4ef8d44ac1 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.4 on 2021-06-17 02:01
from django.db import migrations
| 18.111111 | 47 | 0.588957 |
4069e772d72345dc8c5aa0533940bffe33f5921a | 18,348 | py | Python | main.py | khan-git/webRecipies | 4fa9f9bc3c9809f82c5c8fd94dbb604da3443dcb | [
"MIT"
] | null | null | null | main.py | khan-git/webRecipies | 4fa9f9bc3c9809f82c5c8fd94dbb604da3443dcb | [
"MIT"
] | null | null | null | main.py | khan-git/webRecipies | 4fa9f9bc3c9809f82c5c8fd94dbb604da3443dcb | [
"MIT"
] | null | null | null | # -*- coding: iso-8859-1 -*-
import os
import shutil
import datetime
import sqlite3
from flask import Flask, request, session, render_template, g, redirect, url_for, abort, flash, make_response
from random import randint
import json
import urllib2
import json
from json.decoder import JSONObject
from werkzeug.utils imp... | 33 | 150 | 0.601373 |
406a21613d9b1dbc55f543cfe42bc9ef9b68a79c | 1,749 | py | Python | tests/bugs/core_2678_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2022-02-05T11:37:13.000Z | 2022-02-05T11:37:13.000Z | tests/bugs/core_2678_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-09-03T11:47:00.000Z | 2021-09-03T12:42:10.000Z | tests/bugs/core_2678_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-06-30T14:14:16.000Z | 2021-06-30T14:14:16.000Z | #coding:utf-8
#
# id: bugs.core_2678
# title: Full outer join cannot use available indices (very slow execution)
# decription:
# tracker_id: CORE-2678
# min_versions: ['3.0']
# versions: 3.0
# qmid: None
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 3.... | 23.958904 | 109 | 0.619211 |
406ae0237fa650007fb4d1f31a942b053762212b | 962 | py | Python | application/model/entity/category.py | UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1 | d0d81fc82d031f7add9e38add765aad0c404ee35 | [
"Apache-2.0"
] | 1 | 2020-07-15T14:23:30.000Z | 2020-07-15T14:23:30.000Z | application/model/entity/category.py | UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1 | d0d81fc82d031f7add9e38add765aad0c404ee35 | [
"Apache-2.0"
] | null | null | null | application/model/entity/category.py | UniversidadeDeVassouras/labproghiper-2020.1-MatheusTelles-p1 | d0d81fc82d031f7add9e38add765aad0c404ee35 | [
"Apache-2.0"
] | null | null | null | from flask import current_app | 24.666667 | 60 | 0.613306 |
406b1ddec2cc13a47e3515d6e9a2b41aa445fd1b | 76 | py | Python | cookietemple/create/templates/cli/cli_python/{{ cookiecutter.project_slug_no_hyphen }}/tests/__init__.py | e2jk/cookietemple | 86af5622cdabe9ae446048536571898716939f29 | [
"Apache-2.0"
] | 117 | 2020-11-23T02:07:23.000Z | 2022-03-21T16:14:53.000Z | cookietemple/create/templates/cli/cli_python/{{ cookiecutter.project_slug_no_hyphen }}/tests/__init__.py | e2jk/cookietemple | 86af5622cdabe9ae446048536571898716939f29 | [
"Apache-2.0"
] | 226 | 2020-10-19T19:58:13.000Z | 2022-03-27T18:54:30.000Z | cookietemple/create/templates/cli/cli_python/{{ cookiecutter.project_slug_no_hyphen }}/tests/__init__.py | e2jk/cookietemple | 86af5622cdabe9ae446048536571898716939f29 | [
"Apache-2.0"
] | 9 | 2020-11-24T12:45:10.000Z | 2022-03-13T15:58:23.000Z | """Test suite for the {{ cookiecutter.project_slug_no_hyphen }} package."""
| 38 | 75 | 0.736842 |
406bcb88801f876f8613c7d8e41183ccf8efc7dd | 153 | py | Python | bricks/ev3dev/modules/pybricks/robotics.py | ZPhilo/pybricks-micropython | bf3072b6f7dd87b60e50d7c2130ca3c393a5709f | [
"MIT"
] | 115 | 2020-06-15T16:43:14.000Z | 2022-03-21T21:11:57.000Z | bricks/ev3dev/modules/pybricks/robotics.py | ZPhilo/pybricks-micropython | bf3072b6f7dd87b60e50d7c2130ca3c393a5709f | [
"MIT"
] | 83 | 2020-06-17T17:19:29.000Z | 2022-03-08T18:50:35.000Z | bricks/ev3dev/modules/pybricks/robotics.py | BertLindeman/pybricks-micropython | 8f22a99551100e66ddf08d014d9f442f22b33b4d | [
"MIT"
] | 40 | 2020-06-15T18:36:39.000Z | 2022-03-28T13:22:43.000Z | # SPDX-License-Identifier: MIT
# Copyright (c) 2018-2020 The Pybricks Authors
"""Pybricks robotics module."""
from _pybricks.robotics import DriveBase
| 21.857143 | 46 | 0.771242 |
406bff6901669314a484753b5d5e8d18397cb7b2 | 3,693 | py | Python | flask-app/web_app/storage_manager/storage_manager.py | PetrMokrov/back_end_project | 4dd58d61e637d10872fe58a154dc89f6d0829d94 | [
"MIT"
] | null | null | null | flask-app/web_app/storage_manager/storage_manager.py | PetrMokrov/back_end_project | 4dd58d61e637d10872fe58a154dc89f6d0829d94 | [
"MIT"
] | null | null | null | flask-app/web_app/storage_manager/storage_manager.py | PetrMokrov/back_end_project | 4dd58d61e637d10872fe58a154dc89f6d0829d94 | [
"MIT"
] | 1 | 2019-04-02T12:30:13.000Z | 2019-04-02T12:30:13.000Z | #!/usr/bin/env python
import psycopg2
import time
from ..models import User
| 33.572727 | 107 | 0.479285 |
406c19e470ed1397c6d2535e8a38599b7798d3a3 | 2,906 | py | Python | custom/ahex.py | piyush1104/ColorHelper | 7321cc2642f82c701e3c9c1ff1ebdad3a8ff19dc | [
"MIT"
] | null | null | null | custom/ahex.py | piyush1104/ColorHelper | 7321cc2642f82c701e3c9c1ff1ebdad3a8ff19dc | [
"MIT"
] | null | null | null | custom/ahex.py | piyush1104/ColorHelper | 7321cc2642f82c701e3c9c1ff1ebdad3a8ff19dc | [
"MIT"
] | null | null | null | """Custon color that looks for colors of format `#RRGGBBAA` as `#AARRGGBB`."""
from coloraide.css.colors import Color, SRGB
from coloraide.colors import _parse as parse
from coloraide import util
import copy
import re
class ColorAlphaHex(Color):
"""Color object whose sRGB color space looks for colors of format `... | 33.022727 | 100 | 0.547144 |
406c1c0028a84aba8bcd01a2421dbf11b583f400 | 2,115 | py | Python | source_code/terrain.py | Wiolarz/Console_PY_dungeon | cbf3b9a68251b9ce620aac1f4ca36361160186ea | [
"Apache-2.0"
] | null | null | null | source_code/terrain.py | Wiolarz/Console_PY_dungeon | cbf3b9a68251b9ce620aac1f4ca36361160186ea | [
"Apache-2.0"
] | 2 | 2021-11-29T16:26:03.000Z | 2021-11-29T16:27:14.000Z | source_code/terrain.py | Wiolarz/Console_PY_dungeon | cbf3b9a68251b9ce620aac1f4ca36361160186ea | [
"Apache-2.0"
] | null | null | null | import random
import jobs
import balance
from economy import roman_numbers
| 27.467532 | 113 | 0.613239 |
406d45c5b1e3edd5a8eec1e610e28a22eb3881b2 | 2,190 | py | Python | entrepreneurial_property/models/scientificpark.py | CzechInvest/ciis | c6102598f564a717472e5e31e7eb894bba2c8104 | [
"MIT"
] | 1 | 2019-05-26T22:24:01.000Z | 2019-05-26T22:24:01.000Z | entrepreneurial_property/models/scientificpark.py | CzechInvest/ciis | c6102598f564a717472e5e31e7eb894bba2c8104 | [
"MIT"
] | 6 | 2019-01-22T14:53:43.000Z | 2020-09-22T16:20:28.000Z | entrepreneurial_property/models/scientificpark.py | CzechInvest/ciis | c6102598f564a717472e5e31e7eb894bba2c8104 | [
"MIT"
] | null | null | null | from django.db import models
from .media import Water
from .media import Electricity
from .media import Gas
from .media import WasteWater
from .media import Telecommunication
from .generic import Attachment
from .generic import Photo
from .generic import Location as EstateLocation
from cigeo.models import GenericNote ... | 20.660377 | 57 | 0.696347 |
406e0a83e413ef1e4bba7c5add21f6292e7188e7 | 2,328 | py | Python | pusion/input_output/file_input_output.py | IPVS-AS/pusion | 58ef24b602f611192430f6005ecf5305f878f412 | [
"MIT"
] | 5 | 2021-07-24T16:05:12.000Z | 2022-01-21T15:06:03.000Z | pusion/input_output/file_input_output.py | IPVS-AS/pusion | 58ef24b602f611192430f6005ecf5305f878f412 | [
"MIT"
] | null | null | null | pusion/input_output/file_input_output.py | IPVS-AS/pusion | 58ef24b602f611192430f6005ecf5305f878f412 | [
"MIT"
] | 2 | 2021-07-24T16:05:14.000Z | 2022-03-25T21:24:40.000Z | import json
import ntpath
import shutil
from pathlib import Path
import pickle5
def load_pickle_files_as_data(file_paths):
"""
Load pickle files containing decision outputs as an data array.
:param file_paths: A List of file paths to the individual pickle files.
:return: A data array.
"""
da... | 32.333333 | 97 | 0.681701 |
407208de4a5ad6967ea27d59e0496b7b2dfa6fe5 | 747 | py | Python | meiduo_mall/meiduo_mall/apps/meiduo_admin/views/spus.py | aGrass0825/meiduo_project | 78c560c1e9a3205d4958ddbe798cd0ab2be41830 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/meiduo_admin/views/spus.py | aGrass0825/meiduo_project | 78c560c1e9a3205d4958ddbe798cd0ab2be41830 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/meiduo_admin/views/spus.py | aGrass0825/meiduo_project | 78c560c1e9a3205d4958ddbe798cd0ab2be41830 | [
"MIT"
] | null | null | null | from rest_framework.generics import ListAPIView
from rest_framework.permissions import IsAdminUser
from goods.models import SPU, SPUSpecification
from meiduo_admin.serializers.spus import SPUSimpleSerializer, SPUSpecSerializer
# GET/meiduo_admin/goods/(?P<pk>\d+)/specs/
| 24.096774 | 80 | 0.749665 |
4072139f6fa73549f4c92cc0b2aa6d9bd1e96911 | 1,172 | py | Python | Scientific Computing with Python/Probability Calculator/prob_calculator.py | Fradxyz/FCCProjects | f337ebdfb86605107e0b85d9e83e88ec7ed60778 | [
"MIT"
] | null | null | null | Scientific Computing with Python/Probability Calculator/prob_calculator.py | Fradxyz/FCCProjects | f337ebdfb86605107e0b85d9e83e88ec7ed60778 | [
"MIT"
] | null | null | null | Scientific Computing with Python/Probability Calculator/prob_calculator.py | Fradxyz/FCCProjects | f337ebdfb86605107e0b85d9e83e88ec7ed60778 | [
"MIT"
] | null | null | null | # Hacked by Ry2uko :D
import copy
import random
# Consider using the modules imported above.
if __name__ == '__main__':
# Test here
pass | 26.044444 | 70 | 0.551195 |
40738ad4ddc2dca3384f1a7a4b98ec684eed9a5c | 1,611 | py | Python | src/frames/add_quantity_frame.py | GolovPavel/ValueConverter | 8492f100667af49fe4bf06eaf0de660513424252 | [
"MIT"
] | 1 | 2020-09-22T17:10:21.000Z | 2020-09-22T17:10:21.000Z | src/frames/add_quantity_frame.py | GolovPavel/ValueConverter | 8492f100667af49fe4bf06eaf0de660513424252 | [
"MIT"
] | 1 | 2020-03-06T21:18:10.000Z | 2020-03-06T21:18:10.000Z | src/frames/add_quantity_frame.py | GolovPavel/ValueConverter | 8492f100667af49fe4bf06eaf0de660513424252 | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter.messagebox import showerror
from constants.frames import MAIN_FRAME_NAME
from util import add_new_quantity
| 33.5625 | 116 | 0.666667 |
4073fadf1987f151aaa0076f63a670fabd02b58e | 226 | py | Python | setup.py | vwxyzjn/pysc2gym | 7c43e55a8f48be77f53332b73fda7635e6063589 | [
"MIT"
] | 6 | 2020-09-23T21:31:48.000Z | 2022-03-14T23:59:35.000Z | setup.py | vwxyzjn/pysc2gym | 7c43e55a8f48be77f53332b73fda7635e6063589 | [
"MIT"
] | 2 | 2022-01-13T03:48:47.000Z | 2022-03-12T00:58:26.000Z | setup.py | vwxyzjn/pysc2gym | 7c43e55a8f48be77f53332b73fda7635e6063589 | [
"MIT"
] | 1 | 2021-06-28T14:17:11.000Z | 2021-06-28T14:17:11.000Z | from setuptools import setup
import versioneer
setup(name='gym_pysc2',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
install_requires=['gym'] # And any other dependencies foo needs
) | 28.25 | 70 | 0.738938 |
40747f1fe0cf14a0bae5770661298c543ddc7ac6 | 1,395 | py | Python | Compressed downloads/server.py | Aldair47x/aa | ac49239ff94ec6735b316606482dc366ae52bfe8 | [
"MIT"
] | null | null | null | Compressed downloads/server.py | Aldair47x/aa | ac49239ff94ec6735b316606482dc366ae52bfe8 | [
"MIT"
] | null | null | null | Compressed downloads/server.py | Aldair47x/aa | ac49239ff94ec6735b316606482dc366ae52bfe8 | [
"MIT"
] | null | null | null | import zmq
import sys
import os
import math
if __name__ == '__main__':
main()
| 26.320755 | 72 | 0.496774 |
40757d236a917305a24dbe63896ecb49966f293c | 1,618 | py | Python | metric_learn/nca.py | ogrisel/metric-learn | fb6733c190911d2c408bd7f0b8c9b54ff005fa8d | [
"MIT"
] | null | null | null | metric_learn/nca.py | ogrisel/metric-learn | fb6733c190911d2c408bd7f0b8c9b54ff005fa8d | [
"MIT"
] | null | null | null | metric_learn/nca.py | ogrisel/metric-learn | fb6733c190911d2c408bd7f0b8c9b54ff005fa8d | [
"MIT"
] | 2 | 2017-08-02T08:57:50.000Z | 2020-03-20T13:32:54.000Z | """
Neighborhood Components Analysis (NCA)
Ported to Python from https://github.com/vomjom/nca
"""
from __future__ import absolute_import
import numpy as np
from six.moves import xrange
from sklearn.utils.validation import check_X_y
from .base_metric import BaseMetricLearner
EPS = np.finfo(float).eps
| 26.966667 | 74 | 0.600742 |
4075a5272343f25994c7b713935ff6736a8b4fb7 | 2,923 | py | Python | rl_repr/batch_rl/evaluation.py | xxdreck/google-research | dac724bc2b9362d65c26747a8754504fe4c615f8 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | rl_repr/batch_rl/evaluation.py | xxdreck/google-research | dac724bc2b9362d65c26747a8754504fe4c615f8 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | rl_repr/batch_rl/evaluation.py | admariner/google-research | 7cee4b22b925581d912e8d993625c180da2a5a4f | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research 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 applicab... | 31.771739 | 80 | 0.671912 |
4075b24c28e51db8658934eede3f2eedb744d8c0 | 4,721 | py | Python | src/nwb_conversion_tools/datainterfaces/ecephys/intan/intandatainterface.py | ben-dichter-consulting/nwbn-conversion-tools | f5641317d2697a3916eeb54f74ce171ed65469ed | [
"BSD-3-Clause"
] | null | null | null | src/nwb_conversion_tools/datainterfaces/ecephys/intan/intandatainterface.py | ben-dichter-consulting/nwbn-conversion-tools | f5641317d2697a3916eeb54f74ce171ed65469ed | [
"BSD-3-Clause"
] | 6 | 2020-01-31T13:29:40.000Z | 2020-03-27T13:09:32.000Z | src/nwb_conversion_tools/datainterfaces/ecephys/intan/intandatainterface.py | ben-dichter-consulting/nwb-conversion-tools | f5641317d2697a3916eeb54f74ce171ed65469ed | [
"BSD-3-Clause"
] | 1 | 2019-11-24T05:08:06.000Z | 2019-11-24T05:08:06.000Z | """Authors: Cody Baker and Ben Dichter."""
from pathlib import Path
import spikeextractors as se
from pynwb.ecephys import ElectricalSeries
from ..baserecordingextractorinterface import BaseRecordingExtractorInterface
from ....utils import get_schema_from_hdmf_class, FilePathType
try:
from pyintan.intan import r... | 44.121495 | 118 | 0.615336 |
40771f48cc35e55bf1ed0377d840f200b12f6982 | 739 | py | Python | Use.py | XtremeCoder1384/SongDownloader | 7bb06d7961ec699af8517cbd7cb4a1ec83d4fd02 | [
"MIT"
] | 1 | 2019-03-04T02:26:41.000Z | 2019-03-04T02:26:41.000Z | Use.py | XtremeCoder1384/SongDownloader | 7bb06d7961ec699af8517cbd7cb4a1ec83d4fd02 | [
"MIT"
] | 1 | 2018-12-20T02:32:35.000Z | 2019-03-11T12:51:15.000Z | Use.py | IngeniousCoder/SongDownloader | 7bb06d7961ec699af8517cbd7cb4a1ec83d4fd02 | [
"MIT"
] | null | null | null | import os
import youtube_dl
os.system("setup.bat")
playlist = input("Paste the Youtube Playlist URL Here.")
track = 1
print("""THIS TOOL WILL ATTEMPT TO DOWNLOAD THE FIRST 1000 SONGS IN THE QUEUE.\n
PLEASE DO NOT INTERRUPT THE TOOL.
YOU MAY CLOSE THE TOOL WHEN IT DISPLAYS "DONE!".
ALL... | 36.95 | 129 | 0.663058 |
40776dbc5b7aba40a9cfd205d779833d8dd62541 | 1,903 | py | Python | site/manage.py | oaoouo/railgun | b09d276723976740841d8b8adf9cbf87a05cd970 | [
"MIT"
] | null | null | null | site/manage.py | oaoouo/railgun | b09d276723976740841d8b8adf9cbf87a05cd970 | [
"MIT"
] | null | null | null | site/manage.py | oaoouo/railgun | b09d276723976740841d8b8adf9cbf87a05cd970 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
manage.py
~~~~~~~~~
"""
import os
import sys
import shutil
import platform
from app import app
from gen import Gen
from flask_script import Manager
""""""
if (platform.python_version().split('.')[0] == '2'):
# reload(sys) is evil :)
reload(sys)
sys.setdefaultencoding('utf-8')... | 25.039474 | 71 | 0.60536 |
40780e501d35b1715806673a2e143e24f1727e1c | 3,152 | py | Python | tests/test_segmenters.py | edoarn/cv-models | 5fa7e50fd69f76b54611bb323b15610eeb1bb5cf | [
"MIT"
] | null | null | null | tests/test_segmenters.py | edoarn/cv-models | 5fa7e50fd69f76b54611bb323b15610eeb1bb5cf | [
"MIT"
] | 4 | 2021-04-23T12:05:45.000Z | 2021-04-25T11:38:01.000Z | tests/test_segmenters.py | edoarn/cv-models | 5fa7e50fd69f76b54611bb323b15610eeb1bb5cf | [
"MIT"
] | null | null | null | from typing import Any
import torch
import torch.nn as nn
from cvmodels.segmentation import unet, deeplab as dl
| 36.651163 | 115 | 0.703046 |
40788e305d7f2fee1abfae85125753bcd3fa071f | 10,981 | py | Python | bagua/torch_api/contrib/sync_batchnorm.py | mmathys/bagua | e17978690452318b65b317b283259f09c24d59bb | [
"MIT"
] | 635 | 2021-06-11T03:03:11.000Z | 2022-03-31T14:52:57.000Z | bagua/torch_api/contrib/sync_batchnorm.py | mmathys/bagua | e17978690452318b65b317b283259f09c24d59bb | [
"MIT"
] | 181 | 2021-06-10T12:27:19.000Z | 2022-03-31T04:08:19.000Z | bagua/torch_api/contrib/sync_batchnorm.py | shjwudp/bagua | 7e1b438e27e3119b23e472f5b9217a9862932bef | [
"MIT"
] | 71 | 2021-06-10T13:16:53.000Z | 2022-03-22T09:26:22.000Z | # Copyright (c) Uber Technologies, Inc. and its affiliates.
# Copyright (c) 2021 Kuaishou AI Platform & DS3 Lab.
#
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from distutils.version import LooseVersion
impor... | 38.128472 | 160 | 0.601858 |
407a65f9c4b9f958fde5ab42bad4bdd15788bb31 | 4,046 | py | Python | tests/test_classification_metric.py | DaveFClarke/ml_bias_checking | 90f67ebc602b6107042e6cbff3268051bb3b1c95 | [
"Apache-2.0"
] | 2 | 2021-07-31T20:52:37.000Z | 2022-02-15T21:05:17.000Z | tests/test_classification_metric.py | DaveFClarke/ml_bias_checking | 90f67ebc602b6107042e6cbff3268051bb3b1c95 | [
"Apache-2.0"
] | 2 | 2021-08-25T16:16:43.000Z | 2022-02-10T05:26:14.000Z | tests/test_classification_metric.py | DaveFClarke/ml_bias_checking | 90f67ebc602b6107042e6cbff3268051bb3b1c95 | [
"Apache-2.0"
] | 1 | 2019-05-21T15:31:24.000Z | 2019-05-21T15:31:24.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import pandas as pd
from aif360.datasets import BinaryLabelDataset
from aif360.metrics import ClassificationMetric
| 34.87931 | 85 | 0.505685 |
407b22ddf13dab3659fb801ada3a7cb31608cf9a | 200 | py | Python | PDA/extra_assignments/10.6. Dicts_ Countries and cities/solution/main.py | EMbeDS-education/StatsAndComputing20212022 | 971e418882b206a1b5606d15d222cef1a5a04834 | [
"MIT"
] | 2 | 2022-02-24T09:35:15.000Z | 2022-03-14T20:34:33.000Z | PDA/extra_assignments/10.6. Dicts_ Countries and cities/solution/main.py | GeorgiosArg/StatsAndComputing20212022 | 798d39af6aa5ef5eef49d5d6f43191351e8a49f3 | [
"MIT"
] | null | null | null | PDA/extra_assignments/10.6. Dicts_ Countries and cities/solution/main.py | GeorgiosArg/StatsAndComputing20212022 | 798d39af6aa5ef5eef49d5d6f43191351e8a49f3 | [
"MIT"
] | 2 | 2022-03-15T21:40:35.000Z | 2022-03-26T14:51:31.000Z | city_country = {}
for _ in range(int(input())):
country, *cities = input().split()
for city in cities:
city_country[city] = country
for _ in range(int(input())):
print(city_country[input()]) | 28.571429 | 36 | 0.665 |
407cd39412220721420002d2204aeef22618cb4c | 1,562 | py | Python | config.py | oyasr/mudawen | 6f0161ab783536d7c5d695225ef28ce4947a46e3 | [
"MIT"
] | null | null | null | config.py | oyasr/mudawen | 6f0161ab783536d7c5d695225ef28ce4947a46e3 | [
"MIT"
] | null | null | null | config.py | oyasr/mudawen | 6f0161ab783536d7c5d695225ef28ce4947a46e3 | [
"MIT"
] | null | null | null | import os
from dotenv import load_dotenv
load_dotenv()
basedir = os.path.abspath(os.path.dirname(__file__))
config = {
'development': DevConfig,
'testing': TestConfig,
'production': ProductionConfig,
'default': DevConfig
}
| 28.4 | 70 | 0.691421 |
407ce0ad1e21c01e8414bc4b63e17958aa42df9e | 998 | py | Python | experiments/async_tests/async_3.py | 10ks/py_utils | 54ce06dbd567b097deda1c7ef2d0a2265e5b243e | [
"MIT"
] | null | null | null | experiments/async_tests/async_3.py | 10ks/py_utils | 54ce06dbd567b097deda1c7ef2d0a2265e5b243e | [
"MIT"
] | null | null | null | experiments/async_tests/async_3.py | 10ks/py_utils | 54ce06dbd567b097deda1c7ef2d0a2265e5b243e | [
"MIT"
] | null | null | null | import asyncio
if __name__ == "__main__":
import time
s = time.perf_counter()
asyncio.run(main())
# Completing unfinished tasks (throws a warning)
# loop = asyncio.get_event_loop()
# loop.run_until_complete(main())
# pending = asyncio.Task.all_tasks()
# loop.run_until_complete(a... | 23.209302 | 80 | 0.607214 |
407d150b5548e5dc5c3decda923610fd51eb2141 | 1,438 | py | Python | vk_bot/mods/util/calculator.py | triangle1984/GLaDOS | 39dea7bf8043e791ef079ea1ac6616f95d5b5312 | [
"BSD-3-Clause"
] | 3 | 2019-12-12T05:48:34.000Z | 2020-12-07T19:23:41.000Z | vk_bot/mods/util/calculator.py | anar66/vk-bot | 39dea7bf8043e791ef079ea1ac6616f95d5b5312 | [
"BSD-3-Clause"
] | 1 | 2019-11-15T14:28:49.000Z | 2019-11-15T14:28:49.000Z | vk_bot/mods/util/calculator.py | triangle1984/vk-bot | 39dea7bf8043e791ef079ea1ac6616f95d5b5312 | [
"BSD-3-Clause"
] | 5 | 2019-11-20T14:20:30.000Z | 2022-02-05T10:37:01.000Z | # from vk_bot.core.modules.basicplug import BasicPlug
# import math
# class Calculator(BasicPlug):
# doc = ""
# command = ("",)
# def main(self):
# try:
# x = self.text[1]; x = int(x)
# encalc = self.text[2]; encalc = encalc.lower()
# y = self.text[3]; y = int(y)
... | 36.871795 | 74 | 0.462448 |
407dc792a754cf8c4cf33cd4fb3c31fe49507ba3 | 9,201 | py | Python | sample-input/homogeneous/geometry.py | AI-Pranto/OpenMOC | 7f6ce4797aec20ddd916981a56a4ba54ffda9a06 | [
"MIT"
] | 97 | 2015-01-02T02:13:45.000Z | 2022-03-09T14:12:45.000Z | sample-input/homogeneous/geometry.py | AI-Pranto/OpenMOC | 7f6ce4797aec20ddd916981a56a4ba54ffda9a06 | [
"MIT"
] | 325 | 2015-01-07T17:43:14.000Z | 2022-02-21T17:22:00.000Z | sample-input/homogeneous/geometry.py | AI-Pranto/OpenMOC | 7f6ce4797aec20ddd916981a56a4ba54ffda9a06 | [
"MIT"
] | 73 | 2015-01-17T19:11:58.000Z | 2022-03-24T16:31:37.000Z | import openmoc
import openmoc.log as log
import openmoc.plotter as plotter
import openmoc.materialize as materialize
log.set_log_level('NORMAL')
###############################################################################
########################### Creating Materials ############################
#############... | 46.705584 | 79 | 0.29236 |
407e66ad31400c201f52210276cc27484a563068 | 22,314 | py | Python | google/ads/google_ads/v5/__init__.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v5/__init__.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v5/__init__.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 71.519231 | 113 | 0.791118 |
407f96b82e23f251ebe7b0d09ba3c8416a7e9d98 | 5,279 | py | Python | PNN/model.py | jingxiufenghua/rec-model | 23204f70fc1bf384d3cdd0cc85e43117d3394074 | [
"MIT"
] | 1,323 | 2020-08-24T02:34:25.000Z | 2022-03-31T06:03:28.000Z | PNN/model.py | yiLinMaster/Recommender-System-with-TF2.0 | cfc7b3fbd4ba2d9157a78938e6bdaeba7df82822 | [
"MIT"
] | 65 | 2020-08-25T06:07:41.000Z | 2022-03-18T20:10:53.000Z | PNN/model.py | yiLinMaster/Recommender-System-with-TF2.0 | cfc7b3fbd4ba2d9157a78938e6bdaeba7df82822 | [
"MIT"
] | 395 | 2020-08-24T00:57:08.000Z | 2022-03-31T12:41:13.000Z | """
Created on July 20, 2020
Updated on May 19, 2021
model: Product-based Neural Networks for User Response Prediction
@author: Ziyao Geng(zggzy1996@163.com)
"""
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.regularizers import l2
from tensorflow.keras.layers import Embedding, Dens... | 47.990909 | 114 | 0.544232 |
407fa3643267388dca73bf3b3496b61a0c5f9491 | 314 | py | Python | exercicio3.py | DrokaGit/-infosatc-lp-avaliativo-02 | 6bb78ce84ac325c866201ff538f426d6e7a72ab5 | [
"MIT"
] | null | null | null | exercicio3.py | DrokaGit/-infosatc-lp-avaliativo-02 | 6bb78ce84ac325c866201ff538f426d6e7a72ab5 | [
"MIT"
] | null | null | null | exercicio3.py | DrokaGit/-infosatc-lp-avaliativo-02 | 6bb78ce84ac325c866201ff538f426d6e7a72ab5 | [
"MIT"
] | null | null | null | nume1 = int(input("Digite um numero"))
nume2 = int(input("Digite um numero"))
nume3 = int(input("Digite um numero"))
nume4 = int(input("Digite um numero"))
nume5 = int(input("Digite um numero"))
table = [nume1,nume2,nume3,nume4,nume5]
tableM = (float((nume1 + nume2 + nume3 + nume4 + nume5)))
print(float(tableM)) | 34.888889 | 57 | 0.691083 |
40804fd1f1dd57a07519de8f44b10f0b6f6d1a54 | 274 | py | Python | platonic/platonic/box/implementation.py | anatoly-scherbakov/platonic | b2d239e19f3ebf5a562b6aabcd4b82492bb03564 | [
"MIT"
] | 1 | 2019-11-01T09:08:50.000Z | 2019-11-01T09:08:50.000Z | platonic/platonic/box/implementation.py | anatoly-scherbakov/platonic | b2d239e19f3ebf5a562b6aabcd4b82492bb03564 | [
"MIT"
] | null | null | null | platonic/platonic/box/implementation.py | anatoly-scherbakov/platonic | b2d239e19f3ebf5a562b6aabcd4b82492bb03564 | [
"MIT"
] | null | null | null | from typing import TypeVar
from .abstract import AbstractBox
T = TypeVar('T')
| 15.222222 | 33 | 0.635036 |
408169e338ef415cc1c1cefeaa3179019885ca4e | 79 | py | Python | Schemas/Subject.py | esot0/jmsa-tutoring-backend | f35000c73fbbb31f9b4dcca36e40854dc2e06d23 | [
"MIT"
] | null | null | null | Schemas/Subject.py | esot0/jmsa-tutoring-backend | f35000c73fbbb31f9b4dcca36e40854dc2e06d23 | [
"MIT"
] | null | null | null | Schemas/Subject.py | esot0/jmsa-tutoring-backend | f35000c73fbbb31f9b4dcca36e40854dc2e06d23 | [
"MIT"
] | null | null | null | from mongoengine import * | 19.75 | 27 | 0.746835 |
40826ce560682ad3ad560f8fecc12e0ab6658bc0 | 767 | py | Python | 39. Combination Sum.py | MapleLove2014/leetcode | 135c79ebe98815d0e38280edfadaba90e677aff5 | [
"Apache-2.0"
] | 1 | 2020-12-04T07:38:16.000Z | 2020-12-04T07:38:16.000Z | 39. Combination Sum.py | MapleLove2014/leetcode | 135c79ebe98815d0e38280edfadaba90e677aff5 | [
"Apache-2.0"
] | null | null | null | 39. Combination Sum.py | MapleLove2014/leetcode | 135c79ebe98815d0e38280edfadaba90e677aff5 | [
"Apache-2.0"
] | null | null | null |
s = Solution()
print(s.combinationSum([2,3,6,7], 7))
print(s.combinationSum([2,3,5], 8))
| 34.863636 | 114 | 0.555411 |
4082bcb5f99112c93d2d504f08622c615955a33b | 1,204 | py | Python | crawl_comments.py | tosh1ki/NicoCrawler | 236029f103e01de9e61a042759dc9bf2cb7d3d55 | [
"MIT"
] | 1 | 2015-03-04T14:06:33.000Z | 2015-03-04T14:06:33.000Z | crawl_comments.py | tosh1ki/NicoCrawler | 236029f103e01de9e61a042759dc9bf2cb7d3d55 | [
"MIT"
] | 2 | 2015-03-04T02:48:18.000Z | 2015-03-04T14:18:32.000Z | crawl_comments.py | tosh1ki/NicoCrawler | 236029f103e01de9e61a042759dc9bf2cb7d3d55 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__doc__ = '''
Crawl comment from nicovideo.jp
Usage:
crawl_comments.py --url <url> --mail <mail> --pass <pass> [--sqlite <sqlite>] [--csv <csv>]
Options:
--url <url>
--mail <mail>
--pass <pass>
--sqlite <sqlite> (optional) path of comment DB [d... | 26.173913 | 102 | 0.671096 |
40830eea2a3d7f03b3b7dae05b19fdc253a0e60b | 2,095 | py | Python | sif/greedy_sim_max.py | longland-m/wikigen | 459ba7bf9d3ca9584de65388cc9b9a15fa16a69f | [
"MIT"
] | null | null | null | sif/greedy_sim_max.py | longland-m/wikigen | 459ba7bf9d3ca9584de65388cc9b9a15fa16a69f | [
"MIT"
] | 2 | 2021-08-25T16:04:29.000Z | 2022-02-10T01:50:44.000Z | sif/greedy_sim_max.py | longland-m/wikigen | 459ba7bf9d3ca9584de65388cc9b9a15fa16a69f | [
"MIT"
] | null | null | null | # Functions to do the greedy similarity maximisation for article:node assignments
# All code is original
import random
def computeSimSum(G, similarityMatrix, asgn):
""" Compute the total similarity sum for the current node:article assignment """
S = sum([similarityMatrix[asgn[j], asgn[i]]
for j in ra... | 32.230769 | 82 | 0.651074 |
40836d6113e4a1359c6e3078275ec9078aa642e4 | 23,463 | py | Python | plab/photon_counters/Idq801.py | joamatab/photonic-coupling-drivers | c12581d8e2158a292e1c585e45c0207c8129c0f1 | [
"MIT"
] | null | null | null | plab/photon_counters/Idq801.py | joamatab/photonic-coupling-drivers | c12581d8e2158a292e1c585e45c0207c8129c0f1 | [
"MIT"
] | null | null | null | plab/photon_counters/Idq801.py | joamatab/photonic-coupling-drivers | c12581d8e2158a292e1c585e45c0207c8129c0f1 | [
"MIT"
] | null | null | null | import sys
import numpy as np
import shutil
import time
import itertools as it
import collections
import ctypes as ct
import os
import copy
sys.path.append(os.path.dirname(__file__))
from ThreadStoppable import ThreadStoppable
#
if __name__ == "__main__":
main()
| 35.931087 | 112 | 0.592507 |
408378ae2d1cd6ca599deacc2843f436a637b9b1 | 7,472 | py | Python | IRIS/IRIS_formatting.py | Xinglab/IRIS | dc3c172eae9083daf57ce0e71c4fe322ab5cc928 | [
"BSD-2-Clause-FreeBSD"
] | 7 | 2019-11-21T08:42:37.000Z | 2021-08-13T15:49:18.000Z | IRIS/IRIS_formatting.py | Xinglab/IRIS | dc3c172eae9083daf57ce0e71c4fe322ab5cc928 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | IRIS/IRIS_formatting.py | Xinglab/IRIS | dc3c172eae9083daf57ce0e71c4fe322ab5cc928 | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2021-05-08T08:22:38.000Z | 2022-01-20T23:43:03.000Z | import sys, numpy, argparse, os
if __name__ == '__main__':
main()
| 42.454545 | 204 | 0.722564 |
408407cd45d1d31df97defaffbefa6540d0ab484 | 7,444 | py | Python | quests/dataflow_python/streaming_event_generator.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | 2 | 2022-01-06T11:52:57.000Z | 2022-01-09T01:53:56.000Z | quests/dataflow_python/streaming_event_generator.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | null | null | null | quests/dataflow_python/streaming_event_generator.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | null | null | null | # This program reads a file representing web server logs in common log format and streams them into a PubSub topic
# with lag characteristics as determined by command-line arguments
import argparse
from google.cloud import pubsub_v1
import time
from datetime import datetime, timezone
import random
from anytree... | 39.595745 | 116 | 0.657174 |
4084a9455c8745ebe8cdb17a3177996a15d02016 | 210 | py | Python | src/models/configs/database.py | Nardri/rbac-service | c5cf6baf60e95a7790156c85e37c76c697efd585 | [
"MIT"
] | null | null | null | src/models/configs/database.py | Nardri/rbac-service | c5cf6baf60e95a7790156c85e37c76c697efd585 | [
"MIT"
] | null | null | null | src/models/configs/database.py | Nardri/rbac-service | c5cf6baf60e95a7790156c85e37c76c697efd585 | [
"MIT"
] | null | null | null | """Database setup"""
# Third party library
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
# initialization of the database and migration
database = SQLAlchemy()
migrate = Migrate()
| 21 | 46 | 0.795238 |
4085bccb38fa4dfee0e895626450b9f141da766f | 4,111 | py | Python | postreise/plot/plot_heatmap.py | lanesmith/PostREISE | 69d47968cf353bca57aa8b587cc035d127fa424f | [
"MIT"
] | 1 | 2022-01-31T16:53:40.000Z | 2022-01-31T16:53:40.000Z | postreise/plot/plot_heatmap.py | lanesmith/PostREISE | 69d47968cf353bca57aa8b587cc035d127fa424f | [
"MIT"
] | 71 | 2021-01-22T20:09:47.000Z | 2022-03-30T16:53:18.000Z | postreise/plot/plot_heatmap.py | lanesmith/PostREISE | 69d47968cf353bca57aa8b587cc035d127fa424f | [
"MIT"
] | 7 | 2021-04-02T14:45:21.000Z | 2022-01-17T22:23:38.000Z | import datetime as dt
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import pandas as pd
from powersimdata.input.check import _check_time_series
from postreise.analyze.time import change_time_zone
def plot_heatmap(
series,
time_zone=None,
time_zone_label=None,
title=None,
cmap... | 37.036036 | 88 | 0.683289 |
4086e4dd21e9a774c97734bcd63cd0233cf32c3d | 4,000 | py | Python | tensorflow_federated/python/simulation/file_per_user_client_data.py | houcharlie/federated-legacy | cb10a9cdcea33288f8113e7445782d21c8c65f81 | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/simulation/file_per_user_client_data.py | houcharlie/federated-legacy | cb10a9cdcea33288f8113e7445782d21c8c65f81 | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/simulation/file_per_user_client_data.py | houcharlie/federated-legacy | cb10a9cdcea33288f8113e7445782d21c8c65f81 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018, The TensorFlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 36.363636 | 80 | 0.74325 |
4086e6c92cd0f6bf0670ff63d76bbec71943f194 | 162 | py | Python | 20-Blog_Clone_Project/blog_project_Practice/blog/admin.py | andy2167565/Django-Bootcamp-Practice | f08d2866382db96060450d4dbd1ffaca7243f623 | [
"MIT"
] | null | null | null | 20-Blog_Clone_Project/blog_project_Practice/blog/admin.py | andy2167565/Django-Bootcamp-Practice | f08d2866382db96060450d4dbd1ffaca7243f623 | [
"MIT"
] | null | null | null | 20-Blog_Clone_Project/blog_project_Practice/blog/admin.py | andy2167565/Django-Bootcamp-Practice | f08d2866382db96060450d4dbd1ffaca7243f623 | [
"MIT"
] | null | null | null | from django.contrib import admin
from blog.models import Post, Comment
# Register your models here.
admin.site.register(Post)
admin.site.register(Comment)
| 23.142857 | 38 | 0.777778 |
408710371dd0d37abadd9978ea2c4a4f85a8ec3b | 6,459 | py | Python | tests/compilation/request/test_request_compiler.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 3 | 2019-08-01T03:14:49.000Z | 2020-01-31T08:55:22.000Z | tests/compilation/request/test_request_compiler.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 353 | 2019-04-14T14:53:28.000Z | 2022-03-11T03:26:08.000Z | tests/compilation/request/test_request_compiler.py | ymoch/preacher | ae68170d14c72791884e91b20054bd13a79b52d0 | [
"MIT"
] | 1 | 2020-08-01T06:23:08.000Z | 2020-08-01T06:23:08.000Z | from unittest.mock import NonCallableMock, sentinel
from pytest import mark, raises, fixture
from preacher.compilation.argument import Argument
from preacher.compilation.error import CompilationError, NamedNode, IndexedNode
from preacher.compilation.request.request import RequestCompiler, RequestCompiled
from preache... | 34.174603 | 81 | 0.71203 |
408784a24cae84367d1864aa02a8ff6e4a8e197a | 1,109 | py | Python | bot/conversation_handlers/stage01.py | gerbigtim/coaching_bot | 5b4ef6e207a5017f7b4274d8238550b4988d0a6e | [
"MIT"
] | null | null | null | bot/conversation_handlers/stage01.py | gerbigtim/coaching_bot | 5b4ef6e207a5017f7b4274d8238550b4988d0a6e | [
"MIT"
] | null | null | null | bot/conversation_handlers/stage01.py | gerbigtim/coaching_bot | 5b4ef6e207a5017f7b4274d8238550b4988d0a6e | [
"MIT"
] | null | null | null | # imports
from telegram.ext import (
CommandHandler,
MessageHandler,
Filters,
ConversationHandler,
)
from handler_functions.start import start
from handler_functions.bio import bio
from handler_functions.gender import gender
from handler_functions.photo import photo, skip_photo
from handler_functions.lo... | 38.241379 | 102 | 0.734896 |
4087ac882a0e642cb2645d67bfb2e7473130d2e9 | 265 | py | Python | python100days/day03/conversion.py | lanSeFangZhou/pythonbase | f4daa373573b2fc0a59a5eb919d02eddf5914e18 | [
"Apache-2.0"
] | null | null | null | python100days/day03/conversion.py | lanSeFangZhou/pythonbase | f4daa373573b2fc0a59a5eb919d02eddf5914e18 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:58:26.000Z | 2021-06-02T00:58:26.000Z | python100days/day03/conversion.py | lanSeFangZhou/pythonbase | f4daa373573b2fc0a59a5eb919d02eddf5914e18 | [
"Apache-2.0"
] | null | null | null | #
value =float(input(''))
unit =input('')
if unit == 'in' or unit == '':
print('%f = %f' % (value, value * 2.54))
elif unit == '' or unit == 'cm':
print('%f = %f' % (value, value / 2.54))
else:
print('') | 26.5 | 49 | 0.558491 |
4088dc579c34d53321481174879bd2850ab8f43e | 485 | py | Python | tests/models/test_dtfactory.py | surajsjain/ocean.py | 2e853db94d9aee2a0cf6b3d58f714215b83d917b | [
"Apache-2.0"
] | 4 | 2021-07-05T20:21:41.000Z | 2021-09-02T14:13:26.000Z | tests/models/test_dtfactory.py | surajsjain/ocean.py | 2e853db94d9aee2a0cf6b3d58f714215b83d917b | [
"Apache-2.0"
] | null | null | null | tests/models/test_dtfactory.py | surajsjain/ocean.py | 2e853db94d9aee2a0cf6b3d58f714215b83d917b | [
"Apache-2.0"
] | 1 | 2021-03-25T15:04:12.000Z | 2021-03-25T15:04:12.000Z | from ocean_lib.models.data_token import DataToken
from ocean_lib.models.dtfactory import DTFactory
from ocean_lib.ocean.util import to_base_18
| 37.307692 | 108 | 0.781443 |
408a713d6a5b30cf98528302f34eefe2000e2530 | 4,223 | py | Python | methods/unilm_based/unilm/src/pytorch_pretrained_bert/optimization_fp16.py | Guaguago/CommonGen | 0a81b4edb8cd111571eba817eb994420f1070c48 | [
"MIT"
] | 100 | 2020-01-30T08:14:25.000Z | 2022-03-30T08:59:33.000Z | methods/unilm_based/unilm/src/pytorch_pretrained_bert/optimization_fp16.py | Guaguago/CommonGen | 0a81b4edb8cd111571eba817eb994420f1070c48 | [
"MIT"
] | 4 | 2021-06-08T22:34:33.000Z | 2022-03-12T00:50:13.000Z | methods/unilm_based/unilm/src/pytorch_pretrained_bert/optimization_fp16.py | Guaguago/CommonGen | 0a81b4edb8cd111571eba817eb994420f1070c48 | [
"MIT"
] | 15 | 2020-04-13T22:56:27.000Z | 2022-03-10T02:44:26.000Z | # coding=utf-8
"""PyTorch optimization for BERT model."""
from apex.contrib.optimizers import FP16_Optimizer
| 52.135802 | 117 | 0.656642 |
408ac0aced4fa7689e5bb64bd87a616424377650 | 46 | py | Python | ermaket/api/generation/__init__.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | ermaket/api/generation/__init__.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | ermaket/api/generation/__init__.py | SqrtMinusOne/ERMaket_Experiment | c4a7b61651edd15a619d9b690e2aaeaab4de282d | [
"Apache-2.0"
] | null | null | null | from .generator import *
from .types import *
| 15.333333 | 24 | 0.73913 |
408c88fb92a834b62165870e3156152b98dd330c | 956 | py | Python | Source/stack0verf10w.py | IRIDIUM-SUB/Software-Security-Course-Design | 596664a728d73133e44a4566027561170c5d2ae8 | [
"MIT"
] | null | null | null | Source/stack0verf10w.py | IRIDIUM-SUB/Software-Security-Course-Design | 596664a728d73133e44a4566027561170c5d2ae8 | [
"MIT"
] | null | null | null | Source/stack0verf10w.py | IRIDIUM-SUB/Software-Security-Course-Design | 596664a728d73133e44a4566027561170c5d2ae8 | [
"MIT"
] | null | null | null | import Bugdetectionuniversalframe
import os
import re
| 30.83871 | 84 | 0.582636 |
408e5eee21b5e0ed193fbd1da82ee85348eb987d | 7,517 | py | Python | ndbc/station.py | ppokhrel1/ndbc | e8ed73ae35a49c967384e2c80c1a2bf838eeb0c2 | [
"MIT"
] | null | null | null | ndbc/station.py | ppokhrel1/ndbc | e8ed73ae35a49c967384e2c80c1a2bf838eeb0c2 | [
"MIT"
] | null | null | null | ndbc/station.py | ppokhrel1/ndbc | e8ed73ae35a49c967384e2c80c1a2bf838eeb0c2 | [
"MIT"
] | null | null | null | """
station.py
"""
from datetime import datetime, timedelta
import gzip
import numpy as np
import requests
import urllib
_BASEURL = 'http://www.ndbc.noaa.gov/data'
_SENSOR_URL = _BASEURL+'/stations/buoyht.txt'
_REALTIME_URL = _BASEURL+'/realtime2/'
_RECENT_URL = _BASEURL+'/stdmet/'
_HISTORICAL_URL = _BASEURL+'/histori... | 41.994413 | 89 | 0.543036 |
408f68f533f8c5055f6e751095cb737571178a12 | 765 | py | Python | main.py | kajuna0amendez/Cython_Machine_Learning_Models | 8b7d502bae07487ae0fdbced796e0fa50082e681 | [
"Apache-2.0"
] | null | null | null | main.py | kajuna0amendez/Cython_Machine_Learning_Models | 8b7d502bae07487ae0fdbced796e0fa50082e681 | [
"Apache-2.0"
] | 2 | 2021-02-02T23:02:12.000Z | 2021-08-23T20:51:22.000Z | main.py | kajuna0amendez/Machine_Learning_Models | 8b7d502bae07487ae0fdbced796e0fa50082e681 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python
__author__ = "Andres Mendez-Vazquez"
__copyright__ = "Copyright 2018"
__credits__ = ["Andres Mendez-Vazquez"]
__license__ = "Apache"
__version__ = "v1.0.0"
__maintainer__ = "Andres Mendez-Vazquez"
__email = "kajuna0kajuna@gmail.com"
__status__ = "Development"
from data_m... | 23.181818 | 68 | 0.705882 |
408f7d16d7791c4eaced84288001a4eccaab5dae | 54 | py | Python | graw/__init__.py | iamsajjad/graw | 84289b9bd2e298bad72ade402ab8a87e7c37688d | [
"MIT"
] | null | null | null | graw/__init__.py | iamsajjad/graw | 84289b9bd2e298bad72ade402ab8a87e7c37688d | [
"MIT"
] | null | null | null | graw/__init__.py | iamsajjad/graw | 84289b9bd2e298bad72ade402ab8a87e7c37688d | [
"MIT"
] | null | null | null |
# version of the graw package
__version__ = "0.1.0"
| 10.8 | 29 | 0.685185 |
408fa80f7b62ab2142b5ebe87fafa4317281b530 | 6,779 | py | Python | sdk/python/pulumi_aws/acm/get_certificate.py | mehd-io/pulumi-aws | 034629c3fb30dc90db65b196d115df43723df19c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/acm/get_certificate.py | mehd-io/pulumi-aws | 034629c3fb30dc90db65b196d115df43723df19c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/acm/get_certificate.py | mehd-io/pulumi-aws | 034629c3fb30dc90db65b196d115df43723df19c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 39.184971 | 260 | 0.651424 |
40902a024648160483f25a5dd670916ae7cc2c01 | 2,688 | py | Python | Part 3/batch_VS_stochastic.py | m9psy/neural_network_habr_guide | 543b4bc82cfed5d5675b9ecc1cc97c2286a5562a | [
"MIT"
] | 20 | 2016-08-08T12:16:51.000Z | 2022-03-26T19:56:09.000Z | Part 3/batch_VS_stochastic.py | m9psy/neural_network_habr_guide | 543b4bc82cfed5d5675b9ecc1cc97c2286a5562a | [
"MIT"
] | null | null | null | Part 3/batch_VS_stochastic.py | m9psy/neural_network_habr_guide | 543b4bc82cfed5d5675b9ecc1cc97c2286a5562a | [
"MIT"
] | 8 | 2016-08-08T14:22:13.000Z | 2020-05-30T07:05:36.000Z | import numpy as np
import matplotlib.pyplot as plt
TOTAL = 200
STEP = 0.25
EPS = 0.1
INITIAL_THETA = [9, 14]
X = np.arange(0, TOTAL * STEP, STEP)
Y = np.array([y for y in generate_sample(TOTAL)])
# ,
X = (X - X.min()) / (X.max() - X.min())
A = np.empty((TOTAL, 2))
A[:, 0] = 1
A[:, 1] = X
theta = np.linal... | 29.866667 | 74 | 0.553943 |