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a84b4fb4bb163f73f874300aa9b30127b25e1b1a | 2,811 | py | Python | color_histogram/results/hist_2d.py | waragai-katsunori/ColorHistogram | f57c1115a94aa72387a6e40aef88b1861eb470ab | [
"MIT"
] | 73 | 2016-03-09T06:38:47.000Z | 2021-08-20T10:12:10.000Z | color_histogram/results/hist_2d.py | waragai-katsunori/ColorHistogram | f57c1115a94aa72387a6e40aef88b1861eb470ab | [
"MIT"
] | 3 | 2017-10-31T14:11:54.000Z | 2021-04-06T15:51:37.000Z | color_histogram/results/hist_2d.py | waragai-katsunori/ColorHistogram | f57c1115a94aa72387a6e40aef88b1861eb470ab | [
"MIT"
] | 32 | 2016-10-22T06:17:44.000Z | 2021-10-30T16:20:11.000Z |
# -*- coding: utf-8 -*-
# # @package color_histogram.results.hist_2d
#
# Compute 2D color histogram result.
# @author tody
# @date 2015/08/28
import os
import numpy as np
import matplotlib.pyplot as plt
from color_histogram.io_util.image import loadRGB
from color_histogram.cv.image import rgb, to32F
... | 30.554348 | 90 | 0.677695 |
a84ba5a5805b33c3b1ad0afc0fc822a27f2c5d05 | 2,926 | py | Python | tests/test_python.py | sfeltman/libsmf | a70eb477732d2e8584af59389b4909541cf5bc98 | [
"BSD-2-Clause"
] | 1 | 2019-04-15T01:37:55.000Z | 2019-04-15T01:37:55.000Z | tests/test_python.py | sfeltman/libsmf | a70eb477732d2e8584af59389b4909541cf5bc98 | [
"BSD-2-Clause"
] | null | null | null | tests/test_python.py | sfeltman/libsmf | a70eb477732d2e8584af59389b4909541cf5bc98 | [
"BSD-2-Clause"
] | null | null | null | import os
import unittest
import tempfile
from gi.repository import Smf
if __name__ == '__main__':
unittest.main()
| 38 | 86 | 0.669515 |
a84bbb52eda077f44cc7b316828fb87f5e2b4397 | 3,371 | py | Python | ansible-devel/test/units/galaxy/test_role_requirements.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/units/galaxy/test_role_requirements.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/units/galaxy/test_role_requirements.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright: (c) 2020, Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import pytest
from ansible.playbook.role.r... | 37.876404 | 147 | 0.703055 |
a84c51e00e3c06ed946f2d73ff195ec6335ee4c9 | 8,007 | py | Python | argo/workflows/client/models/v1_pod_log_options.py | fvdnabee/argo-client-python | 0caa743442d37f2f2e3b30867398ed2708c1bf4d | [
"Apache-2.0"
] | 35 | 2019-10-25T09:19:36.000Z | 2022-03-04T11:22:27.000Z | argo/workflows/client/models/v1_pod_log_options.py | fvdnabee/argo-client-python | 0caa743442d37f2f2e3b30867398ed2708c1bf4d | [
"Apache-2.0"
] | 17 | 2019-10-30T03:49:20.000Z | 2020-07-02T15:54:50.000Z | argo/workflows/client/models/v1_pod_log_options.py | fvdnabee/argo-client-python | 0caa743442d37f2f2e3b30867398ed2708c1bf4d | [
"Apache-2.0"
] | 9 | 2019-11-06T13:30:08.000Z | 2021-06-12T03:00:05.000Z | # coding: utf-8
"""
Argo
Python client for Argo Workflows # noqa: E501
OpenAPI spec version: master
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
def to_str(self):
"""Returns the string representation of th... | 26.869128 | 170 | 0.585488 |
a84d0a4ba61d358039b7a1e74466919b134e36f7 | 4,158 | py | Python | tests/test_html.py | unfoldingWord-dev/USFM-Utils | c3c4b5df5636076a4f64f8ec63358df13dc814ed | [
"MIT"
] | 4 | 2016-09-26T09:42:47.000Z | 2020-05-16T05:14:33.000Z | tests/test_html.py | unfoldingWord-dev/USFM-Utils | c3c4b5df5636076a4f64f8ec63358df13dc814ed | [
"MIT"
] | 1 | 2020-09-24T19:29:26.000Z | 2020-09-24T19:29:26.000Z | tests/test_html.py | unfoldingWord-dev/USFM-Utils | c3c4b5df5636076a4f64f8ec63358df13dc814ed | [
"MIT"
] | 2 | 2017-07-27T05:13:02.000Z | 2019-12-19T23:45:18.000Z | import itertools
import unittest
from usfm_utils.elements.document import Document
from usfm_utils.elements.element_impls import FormattedText, Text, Paragraph, Footnote
from usfm_utils.elements.footnote_utils import AutomaticFootnoteLabel, CustomFootnoteLabel
from usfm_utils.html.html_visitor import HtmlVisitor, non_... | 37.125 | 90 | 0.597162 |
a84f0d0f3749f18aaa14888aa7b0b39c8a1c4cf5 | 1,703 | py | Python | src/tokenization/train_tokenizer.py | saridormi/commits_dataset | 8dc5309c3b55385c0455ff91974704e18ab7cfdc | [
"Apache-2.0"
] | 1 | 2022-02-22T07:05:46.000Z | 2022-02-22T07:05:46.000Z | src/tokenization/train_tokenizer.py | saridormi/commits_dataset | 8dc5309c3b55385c0455ff91974704e18ab7cfdc | [
"Apache-2.0"
] | null | null | null | src/tokenization/train_tokenizer.py | saridormi/commits_dataset | 8dc5309c3b55385c0455ff91974704e18ab7cfdc | [
"Apache-2.0"
] | null | null | null | import hydra
import os
import logging
from hydra.utils import instantiate, to_absolute_path
from omegaconf import DictConfig, OmegaConf
from tokenizers import Tokenizer
from src.tokenization.utils import Lexer
if __name__ == "__main__":
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s... | 37.021739 | 117 | 0.688197 |
a84f521165b609606547850404c87694075d7414 | 4,653 | py | Python | xfdnn/rt/xdnn_rt.py | jebtang/ml-suite | 33dadbbd1a98acbab353a379bbc7e96547a0c2e3 | [
"Apache-2.0"
] | 1 | 2018-11-22T01:59:26.000Z | 2018-11-22T01:59:26.000Z | xfdnn/rt/xdnn_rt.py | jebtang/ml-suite | 33dadbbd1a98acbab353a379bbc7e96547a0c2e3 | [
"Apache-2.0"
] | null | null | null | xfdnn/rt/xdnn_rt.py | jebtang/ml-suite | 33dadbbd1a98acbab353a379bbc7e96547a0c2e3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# // SPDX-License-Identifier: BSD-3-CLAUSE
#
# (C) Copyright 2018, Xilinx, Inc.
#
import tensorflow as tf
import numpy as np
from xfdnn_compiler_tensorflow import TFFrontend
#from xfdnn.tools.compile.frontends.frontend_caffe import CaffeFrontend
from tensorflow.python.platform import gfile
impo... | 36.351563 | 127 | 0.588438 |
a85085ad48ffb4df3ce6c1f54c3962d5699ea21f | 8,821 | py | Python | bot/cogs/personal.py | issuemeaname/rammus-discord-bot | 23bcb02af11b8b764d75fa974149164f0086c1ea | [
"MIT"
] | 1 | 2020-07-07T05:02:40.000Z | 2020-07-07T05:02:40.000Z | bot/cogs/personal.py | issuemeaname/rammus-discord-bot | 23bcb02af11b8b764d75fa974149164f0086c1ea | [
"MIT"
] | null | null | null | bot/cogs/personal.py | issuemeaname/rammus-discord-bot | 23bcb02af11b8b764d75fa974149164f0086c1ea | [
"MIT"
] | 2 | 2019-02-07T18:26:43.000Z | 2021-07-04T16:58:41.000Z | """
This is a cog used for personal commands. For now they exist for people I know
but they will be removed eventually, as they hold no other use to the community
or other users of Rammus. Again, this is temporary and will be removed shortly.
Thank you for reading
"""
import random
import discord
from discord.ext imp... | 29.800676 | 79 | 0.594831 |
a853dba576efbfdcdc009b4074ffba7b0557a19b | 503 | py | Python | EducationalRound101/red_and_blue/red_and_blue_test.py | tqa236/codeforces | 81ad7bdb7786455f83d48d59a8884f62ded66caf | [
"MIT"
] | null | null | null | EducationalRound101/red_and_blue/red_and_blue_test.py | tqa236/codeforces | 81ad7bdb7786455f83d48d59a8884f62ded66caf | [
"MIT"
] | null | null | null | EducationalRound101/red_and_blue/red_and_blue_test.py | tqa236/codeforces | 81ad7bdb7786455f83d48d59a8884f62ded66caf | [
"MIT"
] | null | null | null | import unittest
from red_and_blue import red_and_blue
if __name__ == "__main__":
unittest.main()
| 23.952381 | 85 | 0.586481 |
a854b2655b1079804920d693717c0a025c1256f9 | 129,043 | py | Python | benchmarks/Generators/Parser/SygusParser.py | yangdinglou/DryadSynth | 0e80c08c3f8a95c16c75b413b53b10fa30c945ce | [
"MIT"
] | 19 | 2020-07-06T01:01:28.000Z | 2022-03-09T19:22:25.000Z | benchmarks/Generators/Parser/SygusParser.py | yangdinglou/DryadSynth | 0e80c08c3f8a95c16c75b413b53b10fa30c945ce | [
"MIT"
] | 2 | 2020-09-20T12:26:54.000Z | 2021-11-22T21:48:08.000Z | benchmarks/Generators/Parser/SygusParser.py | yangdinglou/DryadSynth | 0e80c08c3f8a95c16c75b413b53b10fa30c945ce | [
"MIT"
] | null | null | null | # Generated from Sygus.g4 by ANTLR 4.7.1
# encoding: utf-8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
| 34.319947 | 166 | 0.586897 |
a8556da33787e277786e6a3792b993ea18601c17 | 1,870 | py | Python | keitaro/utils.py | Infvmous/keitaro | aeb7555bd8443da995705f26fd42e6e882f64dd4 | [
"MIT"
] | 1 | 2021-07-03T16:40:37.000Z | 2021-07-03T16:40:37.000Z | keitaro/utils.py | ysomad/keitaro | aeb7555bd8443da995705f26fd42e6e882f64dd4 | [
"MIT"
] | 1 | 2021-01-28T13:06:33.000Z | 2021-01-28T13:06:36.000Z | keitaro/utils.py | ysomad/keitaro | aeb7555bd8443da995705f26fd42e6e882f64dd4 | [
"MIT"
] | 1 | 2021-02-23T08:10:29.000Z | 2021-02-23T08:10:29.000Z | import random
from string import ascii_letters, digits
from urllib.parse import urlparse
def list_to_string(list_items, separator='\n'):
"""
Converts list items to string with separator
"""
return separator.join(list_items)
def string_to_list(string, separator='\n'):
"""
Converts string wit... | 26.338028 | 79 | 0.675401 |
a8584dc2e1d7252f7eee5bae7caafe98b9817a57 | 5,304 | py | Python | tensorflow_1_x/7_kaggle/learntools/pandas/indexing_selecting_and_assigning.py | amitbcp/machine_learning_with_Scikit_Learn_and_TensorFlow | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 11 | 2019-12-19T08:55:52.000Z | 2021-10-01T13:07:13.000Z | tensorflow_1_x/7_kaggle/learntools/pandas/indexing_selecting_and_assigning.py | amitbcp/Scikit_Learn_TensorFlow_Examples | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 5 | 2019-10-09T01:41:19.000Z | 2022-02-10T00:19:01.000Z | tensorflow_1_x/7_kaggle/learntools/pandas/indexing_selecting_and_assigning.py | amitbcp/Scikit_Learn_TensorFlow_Examples | 37dda063e316503d53ac45f3b104a5cf1aaa4d78 | [
"MIT"
] | 7 | 2019-10-08T06:10:14.000Z | 2020-12-01T07:49:21.000Z | import pandas as pd
from learntools.core import *
reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0)
# 1
# 2
# 3
# 4
# 5
# 6
# 7
# 8
# 9
qvars = bind_exercises(globals(), [
SelectDescCol,
FirstDesc,
FirstRow,
FirstDescs,
SampleReviews,
RowColSelect,
... | 35.36 | 289 | 0.6727 |
a85abfde0966e5dcea2b53ffa4e2160f0a3fdb66 | 6,392 | py | Python | openseis/sd5.py | whamlyn/openseis | 40d9f7af9eb172bc94ed3e45f66b563565906c96 | [
"Apache-2.0"
] | null | null | null | openseis/sd5.py | whamlyn/openseis | 40d9f7af9eb172bc94ed3e45f66b563565906c96 | [
"Apache-2.0"
] | null | null | null | openseis/sd5.py | whamlyn/openseis | 40d9f7af9eb172bc94ed3e45f66b563565906c96 | [
"Apache-2.0"
] | null | null | null | """
OpenSeis module
"""
import numpy as np
import os
import openseis as ops
try:
import h5py
except:
print('h5py package does not seem to be installed on this system.')
| 32.779487 | 85 | 0.546151 |
a85bc4180769fa993ff4097080b1f134fa71c099 | 762 | py | Python | Heaps: Find the Running Median/Heaps: Find the Running Median.py | chmielak90/HackerRank_Coding_Interview_Challenges | 0e9fb79402a3c404719fa8411e8e32137e02fe07 | [
"MIT"
] | 1 | 2021-02-27T19:15:39.000Z | 2021-02-27T19:15:39.000Z | Heaps: Find the Running Median/Heaps: Find the Running Median.py | chmielak90/HackerRank_Coding_Interview_Challenges | 0e9fb79402a3c404719fa8411e8e32137e02fe07 | [
"MIT"
] | null | null | null | Heaps: Find the Running Median/Heaps: Find the Running Median.py | chmielak90/HackerRank_Coding_Interview_Challenges | 0e9fb79402a3c404719fa8411e8e32137e02fe07 | [
"MIT"
] | null | null | null | # n = int(input().strip())
#
# a = []
# a_i = 0
#
# for a_i in range(n):
# a_t = int(input().strip())
# a.append(a_t)
#
# a = sorted(a, key=int)
#
# if len(a) % 2 == 0:
# print((a[int(len(a)/2)] + a[int(len(a)/2)-1])/2)
#
# else:
# print(float(a[int(len(a)/2)]))
# this up working b... | 17.318182 | 58 | 0.450131 |
a85ce1a483cfb29a350fd20c5803ae08cb276570 | 4,119 | py | Python | gost/ui/commands/reporting.py | sixy6e/gost | 43c99952bb3d5a7f668981477b4b3522889ac4db | [
"Apache-2.0"
] | null | null | null | gost/ui/commands/reporting.py | sixy6e/gost | 43c99952bb3d5a7f668981477b4b3522889ac4db | [
"Apache-2.0"
] | null | null | null | gost/ui/commands/reporting.py | sixy6e/gost | 43c99952bb3d5a7f668981477b4b3522889ac4db | [
"Apache-2.0"
] | 2 | 2020-08-16T04:38:59.000Z | 2021-09-09T05:58:58.000Z | """
Command line interface for creating the LaTeX documents.
"""
from pathlib import Path, PurePosixPath as PPath
from typing import Union
import click
import h5py # type: ignore
import pandas
import structlog # type: ignore
import geopandas # type: ignore
from wagl.hdf5 import read_h5_table # type: ignore
from go... | 32.179688 | 90 | 0.705268 |
a85d28a147c2851074f1bb71e893b4e8755ebe06 | 660 | py | Python | aws_lambda_typing/events/config.py | curekoshimizu/aws-lambda-typing | ea5649e084f598f02dadad1a60927034ea46ae5d | [
"MIT"
] | null | null | null | aws_lambda_typing/events/config.py | curekoshimizu/aws-lambda-typing | ea5649e084f598f02dadad1a60927034ea46ae5d | [
"MIT"
] | null | null | null | aws_lambda_typing/events/config.py | curekoshimizu/aws-lambda-typing | ea5649e084f598f02dadad1a60927034ea46ae5d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import typing
| 15.348837 | 77 | 0.660606 |
a85d3f5542b43f9fe833a1ef99744fb9819e5e1a | 4,078 | py | Python | Incident-Response/Tools/grr/grr/test/grr_response_test/end_to_end_tests/tests/timeline.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/grr/grr/test/grr_response_test/end_to_end_tests/tests/timeline.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/grr/grr/test/grr_response_test/end_to_end_tests/tests/timeline.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | #!/usr/bin/env python
# Lint as: python3
"""E2E tests for the timeline flow."""
import csv
import io
from typing import Sequence
from typing import Text
from absl.testing import absltest
from grr_response_core.lib import rdfvalue
from grr_response_core.lib.util import temp
from grr_response_proto.api import timeline_... | 35.46087 | 79 | 0.712114 |
a85f307dc35b10cea0708b8963b5efd033be967d | 121 | py | Python | app/tests/test_init.py | MerrybyPractice/flask-comics-api | f5d833d83a8e488e1f783ce3314bd2d4b87f5143 | [
"MIT"
] | null | null | null | app/tests/test_init.py | MerrybyPractice/flask-comics-api | f5d833d83a8e488e1f783ce3314bd2d4b87f5143 | [
"MIT"
] | 2 | 2019-07-30T03:32:09.000Z | 2019-07-31T13:44:36.000Z | app/tests/test_init.py | MerrybyPractice/flask-comics-api | f5d833d83a8e488e1f783ce3314bd2d4b87f5143 | [
"MIT"
] | null | null | null | import sys
sys.path.append("flask-comics-api")
from app import app
| 13.444444 | 35 | 0.735537 |
a861266c9aad15803a8ee7f2f5de7cca2abf2cc8 | 9,231 | py | Python | metric/metric.py | wyu-du/MultiTurnDialogZoo | ac6a5d4fee31aef9db86ffef599d70f099d93897 | [
"MIT"
] | 145 | 2020-02-13T02:59:08.000Z | 2022-03-31T06:09:16.000Z | metric/metric.py | wyu-du/MultiTurnDialogZoo | ac6a5d4fee31aef9db86ffef599d70f099d93897 | [
"MIT"
] | 14 | 2020-02-19T09:32:45.000Z | 2022-03-22T19:18:30.000Z | metric/metric.py | wyu-du/MultiTurnDialogZoo | ac6a5d4fee31aef9db86ffef599d70f099d93897 | [
"MIT"
] | 28 | 2020-02-19T02:47:22.000Z | 2022-03-25T06:11:31.000Z | from nltk.translate.bleu_score import sentence_bleu, corpus_bleu
from nltk.translate.bleu_score import SmoothingFunction
from nltk.collocations import BigramCollocationFinder
from nltk.probability import FreqDist
from .bleu import Bleu
import argparse
import codecs
import numpy as np
import math
from bert_score import ... | 32.276224 | 173 | 0.551945 |
a862a94126909233a9d159eed285bf366dafeca1 | 1,739 | py | Python | distfromplane_demo.py | johnmgregoire/PythonCompositionPlots | e105c575463b7d4512d9aac18c7330d1a0dc2c14 | [
"BSD-3-Clause"
] | 4 | 2018-03-05T09:34:49.000Z | 2022-02-01T15:33:54.000Z | distfromplane_demo.py | johnmgregoire/PythonCompositionPlots | e105c575463b7d4512d9aac18c7330d1a0dc2c14 | [
"BSD-3-Clause"
] | null | null | null | distfromplane_demo.py | johnmgregoire/PythonCompositionPlots | e105c575463b7d4512d9aac18c7330d1a0dc2c14 | [
"BSD-3-Clause"
] | 2 | 2016-01-24T19:09:21.000Z | 2019-10-11T12:43:07.000Z | import pylab, numpy
from myquaternaryutility import QuaternaryPlot
q=QuaternaryPlot(211)
q2=QuaternaryPlot(212)
#t=numpy.linspace(0,1.,5)
#comps=[[a,b,c,d] for a in t for b in t for c in t for d in t if a+b+c+d==1.]
#comps=numpy.float32(comps)
t=numpy.linspace(0,1.,30)
comps=[[a,b,1.-a-b-(2.*a**2+b),2.*a**2+b] for a... | 31.618182 | 191 | 0.703278 |
a862bfc859f5b5184921c0883870e3487e3d9e30 | 4,399 | py | Python | config/config.py | GeneralOrae/botrae | d14f26e47f4c906233d778ce5e0ce3e67a9f5b2c | [
"MIT"
] | null | null | null | config/config.py | GeneralOrae/botrae | d14f26e47f4c906233d778ce5e0ce3e67a9f5b2c | [
"MIT"
] | null | null | null | config/config.py | GeneralOrae/botrae | d14f26e47f4c906233d778ce5e0ce3e67a9f5b2c | [
"MIT"
] | null | null | null | BOT_TOKEN: str = "ODg4MzAyMzkwNTMxNDg1Njk2.YUQuEQ.UO4oyY9Zk4u1W5f-VpPLkkQ70TM"
SPOTIFY_ID: str = ""
SPOTIFY_SECRET: str = ""
BOT_PREFIX = "$"
EMBED_COLOR = 0x4dd4d0 #replace after'0x' with desired hex code ex. '#ff0188' >> '0xff0188'
SUPPORTED_EXTENSIONS = ('.webm', '.mp4', '.mp3', '.avi', '.wav', '.m4v', '.ogg', '... | 47.301075 | 120 | 0.784042 |
a865318eb5fd14ad1923e91f2a7b9f0fc0c823de | 10,709 | py | Python | fromage/utils/mol/_cell_operations.py | Yulin832/fromage | f6c84d5684ca5abfcc979540bb97cc8f105f963d | [
"MIT"
] | null | null | null | fromage/utils/mol/_cell_operations.py | Yulin832/fromage | f6c84d5684ca5abfcc979540bb97cc8f105f963d | [
"MIT"
] | null | null | null | fromage/utils/mol/_cell_operations.py | Yulin832/fromage | f6c84d5684ca5abfcc979540bb97cc8f105f963d | [
"MIT"
] | null | null | null | from copy import deepcopy
import numpy as np
def complete_mol(self, labels):
"""
Take a cell and complete certain molecules
The objective is to end up with a unit cell where the molecules of interest
are complete. The rest of the atoms of the cell must remain intact. Note that
the input atoms are... | 31.683432 | 88 | 0.614343 |
a865732e6447bac58e649e009ab20b43ed2f1cea | 6,260 | py | Python | tests/test_pvpc.py | r-jordan/aiopvpc | 9b38c02e184368121f725599d4768fc1ca4d6218 | [
"MIT"
] | null | null | null | tests/test_pvpc.py | r-jordan/aiopvpc | 9b38c02e184368121f725599d4768fc1ca4d6218 | [
"MIT"
] | null | null | null | tests/test_pvpc.py | r-jordan/aiopvpc | 9b38c02e184368121f725599d4768fc1ca4d6218 | [
"MIT"
] | null | null | null | """Tests for aiopvpc."""
import logging
from asyncio import TimeoutError
from datetime import datetime, timedelta
from unittest.mock import patch
import pytest
from aiohttp import ClientError
from aiopvpc import ESIOS_TARIFFS, PVPCData, REFERENCE_TZ
from .conftest import MockAsyncSession, TZ_TEST
| 36.395349 | 87 | 0.65607 |
a866618eea370a8203f4080686647eec5ef1844f | 1,438 | py | Python | validation.py | Jianxiang-Wang/Pytorch-code-for-time-series-classification | 94151ba27345e7b7fd57e6622c45997f25e7aca2 | [
"MIT"
] | 2 | 2021-10-08T01:50:17.000Z | 2022-03-15T02:56:48.000Z | validation.py | Jianxiang-Wang/Pytorch-code-for-time-series-classification | 94151ba27345e7b7fd57e6622c45997f25e7aca2 | [
"MIT"
] | 1 | 2020-12-07T07:22:21.000Z | 2020-12-07T07:22:21.000Z | validation.py | Jianxiang-Wang/Pytorch-code-for-time-series-classification | 94151ba27345e7b7fd57e6622c45997f25e7aca2 | [
"MIT"
] | 1 | 2021-05-27T03:14:37.000Z | 2021-05-27T03:14:37.000Z | from sklearn import metrics
import torch
from models import *
import torch.backends.cudnn as cudnn
import seaborn as sns
import matplotlib.pyplot as plt
from dataset import load
#define the net
device = 'cuda' if torch.cuda.is_available() else 'cpu'
net = LSTM(3, 10, 2, 3)
net = net.to(device)
if device == 'cuda':
... | 23.966667 | 71 | 0.66064 |
a867335bf7412afcc85944e531249bfc53f2c724 | 813 | py | Python | mopidy_spotify_tunigo/__init__.py | trygveaa/mopidy-spotify-tunigo | b33d6df81b8b827859c9288ebedfa71304b98d07 | [
"Apache-2.0"
] | 34 | 2015-02-28T14:19:22.000Z | 2019-09-19T14:55:32.000Z | mopidy_spotify_tunigo/__init__.py | trygveaa/mopidy-spotify-tunigo | b33d6df81b8b827859c9288ebedfa71304b98d07 | [
"Apache-2.0"
] | 6 | 2015-01-12T12:07:13.000Z | 2019-12-12T23:01:37.000Z | mopidy_spotify_tunigo/__init__.py | trygveaa/mopidy-spotify-tunigo | b33d6df81b8b827859c9288ebedfa71304b98d07 | [
"Apache-2.0"
] | 3 | 2015-05-22T17:24:43.000Z | 2017-04-11T17:57:42.000Z | from __future__ import unicode_literals
import os
from mopidy import config, ext
__version__ = '1.0.0'
| 26.225806 | 71 | 0.688807 |
a8677db0cad4db9e12e3834fb3fdc9ca873604ad | 3,647 | py | Python | apps/log_search/tasks/project.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | apps/log_search/tasks/project.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | apps/log_search/tasks/project.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-LOG available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-LOG is licensed under the MIT License.
License for BK-LOG :
------------------------------------------------------------------... | 37.597938 | 113 | 0.675898 |
a86ab6894db4939b7b687a294448c9e44447c480 | 8,421 | py | Python | hawkdet/dataset/transformers.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | hawkdet/dataset/transformers.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | hawkdet/dataset/transformers.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
import random
from ..lib.box_utils import matrix_iof
def build_transforms(image_size, image_mean, image_std, iof_factor=1.0, min_face=16):
transforms = Compose([
RandomCrop(image_size, iof_factor, min_face),
RandomDistort(),
Pad(image_mean),
R... | 31.421642 | 115 | 0.516922 |
a86bd19cc05762dfd9e1c34a405531b5248d3abb | 7,553 | py | Python | mwlib/utoken.py | pediapress/mwlib | 1074fbc429e65180de09671dbc369ed1eeb2345d | [
"Unlicense"
] | 53 | 2015-02-17T16:20:06.000Z | 2022-03-18T09:22:00.000Z | mwlib/utoken.py | pediapress/mwlib | 1074fbc429e65180de09671dbc369ed1eeb2345d | [
"Unlicense"
] | 23 | 2015-01-30T16:26:20.000Z | 2022-03-11T23:26:03.000Z | mwlib/utoken.py | pediapress/mwlib | 1074fbc429e65180de09671dbc369ed1eeb2345d | [
"Unlicense"
] | 19 | 2015-01-21T13:55:46.000Z | 2019-02-23T23:14:31.000Z | #! /usr/bin/env python
# Copyright (c) 2007-2009 PediaPress GmbH
# See README.rst for additional licensing information.
# unified/universal token
import sys
import re
import _uscan as _mwscan
from mwlib.refine.util import resolve_entity, parseParams
token2name = token.token2name
for d in dir(token):
if d.... | 24.683007 | 94 | 0.558983 |
a86d0966eb30256383853d63973d591b55852258 | 6,565 | py | Python | MaskDetection/video.py | fossabot/IoT_COVID19-Detector_CO-vision | 8f45ddcbbbc17f24f7629fa344e3f375c3bd879b | [
"MIT"
] | null | null | null | MaskDetection/video.py | fossabot/IoT_COVID19-Detector_CO-vision | 8f45ddcbbbc17f24f7629fa344e3f375c3bd879b | [
"MIT"
] | null | null | null | MaskDetection/video.py | fossabot/IoT_COVID19-Detector_CO-vision | 8f45ddcbbbc17f24f7629fa344e3f375c3bd879b | [
"MIT"
] | null | null | null | #Data Set .
from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
from tensorflow.keras.models import load_model
import numpy as np
import cv2
import matplotlib.pyplot as plt
import os
import json
import requests
# : https://kapi.kakao.com/v2/api/talk/memo/send
talk_url = "https://kapi.kakao.co... | 42.62987 | 160 | 0.609139 |
a86d609155584012cf3856785ca737b87484f6b4 | 3,387 | py | Python | objects_detector.py | AlejandroGonzalR/image-object-detection | a1320190902e9157f34f82f6b7bf46921ee92fe4 | [
"MIT"
] | null | null | null | objects_detector.py | AlejandroGonzalR/image-object-detection | a1320190902e9157f34f82f6b7bf46921ee92fe4 | [
"MIT"
] | null | null | null | objects_detector.py | AlejandroGonzalR/image-object-detection | a1320190902e9157f34f82f6b7bf46921ee92fe4 | [
"MIT"
] | null | null | null | import getopt
import sys
import cv2
import numpy as np
class_ids = []
confidences = []
boxes = []
min_confidence = 0.5
target_name = "truck"
# Load YOLO network into CV2 with COCO names
# Loads input image, resize them and generate Blob
# Performs object detection based on Blob
# Show obtained results in inp... | 31.073394 | 99 | 0.600827 |
a86d72d1fa9d273bd8fa78ace8fa385b2f849513 | 4,826 | py | Python | pynmmso/listeners/trace_listener.py | wood-chris/pynmmso | e13f8139160421a9d3f7e650ad6f988c9244ca69 | [
"MIT"
] | 5 | 2019-06-01T06:21:25.000Z | 2021-11-17T18:43:43.000Z | pynmmso/listeners/trace_listener.py | wood-chris/pynmmso | e13f8139160421a9d3f7e650ad6f988c9244ca69 | [
"MIT"
] | null | null | null | pynmmso/listeners/trace_listener.py | wood-chris/pynmmso | e13f8139160421a9d3f7e650ad6f988c9244ca69 | [
"MIT"
] | 3 | 2019-10-01T11:24:06.000Z | 2021-09-23T17:20:03.000Z | from pynmmso.listeners.base_listener import BaseListener
| 37.123077 | 98 | 0.588065 |
a86da01bc5deadfbef4d95de97a5e5217a078c02 | 500 | py | Python | spotify_dashboard/spotify/models.py | timmyomahony/spotify-picture-frame | 259799b27da331341b0d860885be0aec091e32ff | [
"MIT"
] | 1 | 2020-11-03T11:04:22.000Z | 2020-11-03T11:04:22.000Z | spotify_dashboard/spotify/models.py | timmyomahony/spotify-picture-frame | 259799b27da331341b0d860885be0aec091e32ff | [
"MIT"
] | null | null | null | spotify_dashboard/spotify/models.py | timmyomahony/spotify-picture-frame | 259799b27da331341b0d860885be0aec091e32ff | [
"MIT"
] | null | null | null | import time
from django.db import models
from django.utils.timesince import timesince
| 26.315789 | 58 | 0.722 |
a86f5448dbeefa6a311488498e7648ee7614b136 | 2,758 | py | Python | tests/test_controller.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | 1 | 2017-08-13T09:50:06.000Z | 2017-08-13T09:50:06.000Z | tests/test_controller.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | null | null | null | tests/test_controller.py | yehzhang/dscraper | 6fd1a4238795e9eb01b9dd8329a84495a70979d1 | [
"Apache-2.0"
] | null | null | null | import unittest
import logging
import asyncio
import datetime
from pytz import timezone
import dscraper
from dscraper.utils import FrequencyController
logger = logging.getLogger(__name__)
from .utils import Test
EPS = 1e-6
| 36.289474 | 90 | 0.662437 |
a8702cc446c2c224995b88f883f3be48de00d5d0 | 4,510 | py | Python | src/tools/dev/scripts/hooks/exceptions.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | null | null | null | src/tools/dev/scripts/hooks/exceptions.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | null | null | null | src/tools/dev/scripts/hooks/exceptions.py | cstatz/visit | f352f3984fa77392e81acbaa6943778a779f0435 | [
"BSD-3-Clause"
] | 1 | 2020-03-18T23:17:43.000Z | 2020-03-18T23:17:43.000Z | #!/usr/bin/python
# (Small) Modification of some code from Cyrus which ensures we have a proper
# number of TRY/ENDTRY lines.
# There is some code here to search for invalid characters which isn't
# enabled/used right now.
import sys
import subprocess
import re
#
# Helper Methods
#
def parse_extension(file):
"Re... | 30.066667 | 97 | 0.567184 |
a870e6bfb15f35b40b1115c9d96dd6062d8a09ff | 513 | py | Python | mmdet/models/utils/__init__.py | dandelin/mmdetection | 03e1c72f1bb6222bdf9af3bfe60946cf008c7143 | [
"Apache-2.0"
] | null | null | null | mmdet/models/utils/__init__.py | dandelin/mmdetection | 03e1c72f1bb6222bdf9af3bfe60946cf008c7143 | [
"Apache-2.0"
] | null | null | null | mmdet/models/utils/__init__.py | dandelin/mmdetection | 03e1c72f1bb6222bdf9af3bfe60946cf008c7143 | [
"Apache-2.0"
] | null | null | null | from .conv_ws import conv_ws_2d, ConvWS2d
from .conv_module import build_conv_layer, ConvModule
from .norm import build_norm_layer
from .scale import Scale
from .weight_init import (
xavier_init,
normal_init,
uniform_init,
kaiming_init,
bias_init_with_prob,
)
__all__ = [
"conv_ws_2d",
"Conv... | 19.730769 | 53 | 0.692008 |
a87166a60d65966ddedb5ce1324d6d79ae3b0c7c | 17,050 | py | Python | arghphot/arghphot.py | balbinot/arghphot | ebfa8da444d2b43d68248bb450dfdc49890e0794 | [
"MIT"
] | 1 | 2016-05-21T21:11:21.000Z | 2016-05-21T21:11:21.000Z | arghphot/arghphot.py | balbinot/arghphot | ebfa8da444d2b43d68248bb450dfdc49890e0794 | [
"MIT"
] | null | null | null | arghphot/arghphot.py | balbinot/arghphot | ebfa8da444d2b43d68248bb450dfdc49890e0794 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-*- coding: utf-8 -*-
## temp imports
from matplotlib import pyplot as p
from matplotlib import cm
import tempfile
import numpy as np
from astropy.io import fits, ascii
from astropy.coordinates import SkyCoord
from astropy import units as u
from astropy import wcs
import aplpy
from pyraf impo... | 37.888889 | 125 | 0.528504 |
a8719a8d286f6a06b3cf89fb0e6e20d2209d3663 | 74,138 | py | Python | core/domain/exp_domain_test.py | imrk51/oppia | 615ce1dbdaffbb0c090c52d13ef6a3f7c1043d5c | [
"Apache-2.0"
] | null | null | null | core/domain/exp_domain_test.py | imrk51/oppia | 615ce1dbdaffbb0c090c52d13ef6a3f7c1043d5c | [
"Apache-2.0"
] | null | null | null | core/domain/exp_domain_test.py | imrk51/oppia | 615ce1dbdaffbb0c090c52d13ef6a3f7c1043d5c | [
"Apache-2.0"
] | 1 | 2021-08-04T13:03:16.000Z | 2021-08-04T13:03:16.000Z | # coding: utf-8
#
# Copyright 2014 The Oppia 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 requi... | 31.216 | 115 | 0.605614 |
a871c5a3f2744ffc0ab85831207e950cede0cd8c | 3,160 | py | Python | Infection_vs_Inflammation/Code/Process_Data_V3.py | jdatascientist/Machine_Learning_4_MRI | 973196063d69115048bfa97f213dd6ff0400f74d | [
"MIT"
] | null | null | null | Infection_vs_Inflammation/Code/Process_Data_V3.py | jdatascientist/Machine_Learning_4_MRI | 973196063d69115048bfa97f213dd6ff0400f74d | [
"MIT"
] | null | null | null | Infection_vs_Inflammation/Code/Process_Data_V3.py | jdatascientist/Machine_Learning_4_MRI | 973196063d69115048bfa97f213dd6ff0400f74d | [
"MIT"
] | null | null | null | # Import Modules as needed
import numpy as np
from mylocal_functions import *
import matplotlib.pyplot as plt
# ======== CEST============= #
CEST_list=get_ipython().getoutput('ls ../Study_03_CBA/*CEST.txt')
CEST_Int_matrix=np.zeros((len(CEST_list),4))
ppm=np.linspace(-8,8,101);
for i in range( len(CEST_list) ):
... | 30.980392 | 87 | 0.644937 |
a8723c707610ff2d371e0e72d391d934a953ce69 | 238 | py | Python | LAMARCK_ML/metrics/__init__.py | JonasDHomburg/LAMARCK | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2019-09-20T08:03:47.000Z | 2021-05-10T11:02:09.000Z | LAMARCK_ML/metrics/__init__.py | JonasDHomburg/LAMARCK_ML | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | LAMARCK_ML/metrics/__init__.py | JonasDHomburg/LAMARCK_ML | 0e372c908ff59effc6fd68e6477d04c4d89e6c26 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | from .implementations import Accuracy, \
FlOps, \
Nodes, \
TimeMetric, \
MemoryMetric, \
Parameters, \
LayoutCrossingEdges, \
LayoutDistanceX, \
LayoutDistanceY, \
CartesianFitness
from .interface import MetricInterface
| 19.833333 | 40 | 0.731092 |
a8725cd6af64baf27731158994ab2c4a10a983eb | 2,684 | py | Python | Confidence_Calibration/main.py | heatherwan/Automatic-Validation-of-Simulation-Results | a39b049aa7c835abb39f4501a4ee3db20cd84672 | [
"MIT"
] | null | null | null | Confidence_Calibration/main.py | heatherwan/Automatic-Validation-of-Simulation-Results | a39b049aa7c835abb39f4501a4ee3db20cd84672 | [
"MIT"
] | null | null | null | Confidence_Calibration/main.py | heatherwan/Automatic-Validation-of-Simulation-Results | a39b049aa7c835abb39f4501a4ee3db20cd84672 | [
"MIT"
] | null | null | null | # Functions for Dirichlet parameter tuning main class for CIFAR-100
import numpy as np
import argparse
from calibration.calibration_functions import tune_dir_nn_heather, cal_TS_results
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--file_val', type=str, default='exp000', h... | 44 | 120 | 0.574143 |
a8737282035baae091f5e4cffd08da990791fcd0 | 5,593 | py | Python | neutron/tests/functional/agent/l3/test_metadata_proxy.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,080 | 2015-01-04T08:35:00.000Z | 2022-03-27T09:15:52.000Z | neutron/tests/functional/agent/l3/test_metadata_proxy.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 24 | 2015-02-21T01:48:28.000Z | 2021-11-26T02:38:56.000Z | neutron/tests/functional/agent/l3/test_metadata_proxy.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,241 | 2015-01-02T10:47:10.000Z | 2022-03-27T09:42:23.000Z | # All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 37.286667 | 79 | 0.674593 |
a874274a3bc3f8a721abc5d40fa4b47b612e790d | 680 | py | Python | ctrl/experimental/watch_remake_task_status.py | markmuetz/cosmic | f215c499bfc8f1d717dea6aa78a58632a4e89113 | [
"Apache-2.0"
] | null | null | null | ctrl/experimental/watch_remake_task_status.py | markmuetz/cosmic | f215c499bfc8f1d717dea6aa78a58632a4e89113 | [
"Apache-2.0"
] | null | null | null | ctrl/experimental/watch_remake_task_status.py | markmuetz/cosmic | f215c499bfc8f1d717dea6aa78a58632a4e89113 | [
"Apache-2.0"
] | 1 | 2021-01-26T02:25:48.000Z | 2021-01-26T02:25:48.000Z | import sys
import logging
from watchdog.observers.polling import PollingObserver
from watchdog.events import FileSystemEventHandler
if __name__ == "__main__":
path = sys.argv[1] if len(sys.argv) > 1 else '.'
event_handler = RemakeTaskStatusEventHandler()
observer = PollingObserver()
observer.schedule... | 26.153846 | 59 | 0.708824 |
a87429b2c4743e0326d5d14c4451d21d143c8edd | 1,025 | py | Python | flask_clacks.py | WilliamMayor/flask-clacks | 491e22e34f06cdd25532ab7952cf1fa90f6bae1e | [
"MIT"
] | 1 | 2019-03-21T06:18:47.000Z | 2019-03-21T06:18:47.000Z | flask_clacks.py | WilliamMayor/flask-clacks | 491e22e34f06cdd25532ab7952cf1fa90f6bae1e | [
"MIT"
] | null | null | null | flask_clacks.py | WilliamMayor/flask-clacks | 491e22e34f06cdd25532ab7952cf1fa90f6bae1e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from functools import wraps
from flask import make_response
__author__ = 'William Mayor'
__email__ = 'mail@williammayor.co.uk'
__version__ = '1.0.1'
| 21.808511 | 61 | 0.587317 |
a8759683c3def40d86da4d64b460e72c87841283 | 2,980 | py | Python | utils/utils.py | wl-970925/DANN-MNIST | c781fdcc3267a664c353ae07d46000a67075e0f1 | [
"MIT"
] | null | null | null | utils/utils.py | wl-970925/DANN-MNIST | c781fdcc3267a664c353ae07d46000a67075e0f1 | [
"MIT"
] | null | null | null | utils/utils.py | wl-970925/DANN-MNIST | c781fdcc3267a664c353ae07d46000a67075e0f1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/2/15 16:10
# @Author : Dai PuWei
# @Email : 771830171@qq.com
# @File : utils.py
# @Software: PyCharm
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.core.framework import summary_pb2
def plot_accuracy(x,y,path):
"""
:param x... | 30.408163 | 94 | 0.624161 |
a8767131fc92daf2b1e76889f0a46f8b914b9aa3 | 1,889 | py | Python | PyrogramBot/commands.py | Habdio/GROUP-AutoManageBot | 211ac78b0ce8a267ef9b77f881412ba87140d39b | [
"MIT"
] | null | null | null | PyrogramBot/commands.py | Habdio/GROUP-AutoManageBot | 211ac78b0ce8a267ef9b77f881412ba87140d39b | [
"MIT"
] | null | null | null | PyrogramBot/commands.py | Habdio/GROUP-AutoManageBot | 211ac78b0ce8a267ef9b77f881412ba87140d39b | [
"MIT"
] | null | null | null | from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from pyrogram.types import CallbackQuery
import random
ALL_PIC = [
"https://telegra.ph/file/52b71d5a61c904c6a59d1.jpg",
"https://telegra.ph/file/28a00384a3be4f6c916ba.jpg",
"https://telegra.ph/file/eb654e5c7f... | 39.354167 | 218 | 0.629434 |
a877a97489bec7501c25a2c46b3d75476271d8a2 | 2,666 | py | Python | graphs/finding_bridges.py | topguns837/Python-1 | e7381b513b526e2f3ca134022389832778bdf080 | [
"MIT"
] | 1 | 2021-12-07T12:57:56.000Z | 2021-12-07T12:57:56.000Z | graphs/finding_bridges.py | thanhtd91/Python-1 | a98465230f21e6ece76332eeca1558613788c387 | [
"MIT"
] | null | null | null | graphs/finding_bridges.py | thanhtd91/Python-1 | a98465230f21e6ece76332eeca1558613788c387 | [
"MIT"
] | 1 | 2022-01-01T07:30:12.000Z | 2022-01-01T07:30:12.000Z | """
An edge is a bridge if, after removing it count of connected components in graph will
be increased by one. Bridges represent vulnerabilities in a connected network and are
useful for designing reliable networks. For example, in a wired computer network, an
articulation point indicates the critical computers and a b... | 26.39604 | 87 | 0.415604 |
a877cf6005c10ff86c4c28551acf7a046198d1b7 | 5,487 | py | Python | index.py | ReeLeeSama/Ticket-system | 0f68cefff0488caf537fa8810139be7d8ce203ce | [
"MIT"
] | 1 | 2021-05-15T08:40:00.000Z | 2021-05-15T08:40:00.000Z | index.py | ReeLeeSama/Ticket-system | 0f68cefff0488caf537fa8810139be7d8ce203ce | [
"MIT"
] | null | null | null | index.py | ReeLeeSama/Ticket-system | 0f68cefff0488caf537fa8810139be7d8ce203ce | [
"MIT"
] | null | null | null | import discord
import asyncio
import aiofiles
from discord.ext import commands
intents = discord.Intents.all()
client = commands.Bot(command_prefix=commands.when_mentioned_or('!'),intents=intents)
client.ticket_configs = {}
client.run("your_bot_token_here")
| 59.641304 | 303 | 0.720612 |
a8782932b4cb5b62f9cdd1eb887ce299cb47652d | 1,044 | py | Python | tests/sample_runbooks/set_variable.py | tuxtof/calm-dsl | 5af67435d8304b97e170a690068f2d5975e9bfe6 | [
"Apache-2.0"
] | 37 | 2019-12-23T15:23:20.000Z | 2022-03-15T11:12:11.000Z | tests/sample_runbooks/set_variable.py | gabybeitler/calm-dsl | bac453413cfcf800eef95d89d5a7323c83654a93 | [
"Apache-2.0"
] | 144 | 2020-03-09T11:22:09.000Z | 2022-03-28T21:34:09.000Z | tests/sample_runbooks/set_variable.py | gabybeitler/calm-dsl | bac453413cfcf800eef95d89d5a7323c83654a93 | [
"Apache-2.0"
] | 46 | 2020-01-23T14:28:04.000Z | 2022-03-09T04:17:10.000Z | """
Calm Runbook Sample for set variable task
"""
from calm.dsl.runbooks import read_local_file
from calm.dsl.runbooks import runbook, runbook_json
from calm.dsl.runbooks import RunbookTask as Task
from calm.dsl.runbooks import CalmEndpoint as Endpoint, basic_cred
CRED_USERNAME = read_local_file(".tests/runbook_tests... | 29.828571 | 84 | 0.749042 |
a87a09274174fa57021b101cc6600c408162ecf0 | 3,921 | py | Python | CL_tools/build_cdf2.py | NLP2CT/norm-nmt | b15e904fbfab6595c26fedf58e9023d36b563e95 | [
"MIT"
] | 13 | 2020-06-01T13:00:23.000Z | 2022-01-29T01:40:40.000Z | CL_tools/build_cdf2.py | NLP2CT/norm-nmt | b15e904fbfab6595c26fedf58e9023d36b563e95 | [
"MIT"
] | 2 | 2020-07-01T07:04:52.000Z | 2021-10-13T03:07:53.000Z | CL_tools/build_cdf2.py | NLP2CT/norm-nmt | b15e904fbfab6595c26fedf58e9023d36b563e95 | [
"MIT"
] | 3 | 2020-06-01T12:59:36.000Z | 2020-07-04T13:57:02.000Z | #!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The THUMT Authors
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import collections
import math
import numpy as np
args=parse_args()
if __name__ == "__main__":
main()
| 27.041379 | 79 | 0.566692 |
a87b6a507b0104731193175cfd2830a1d450aa86 | 873 | py | Python | tools/annotation/gPro_profile.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | tools/annotation/gPro_profile.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | tools/annotation/gPro_profile.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
from anno_lib import gPro
import sys
##
# Runs the GOst profiler from g:Profiler
####
# jje 10152011
# Oliver Hofmann
# Bioinformatics Core
# Harvard School of Public Health
####
#term = "GO:0007050"
#gost_loc = "http://biit.cs.ut.ee/gprofiler/"
try:
idfile = sys.argv[1]
outfile = sys.argv[2... | 19.4 | 70 | 0.710195 |
a87ca034edbcf0ccd37f65c8627b5f05c80d33a3 | 5,135 | py | Python | deploy/proc_vector.py | loadwiki/insightface | a641d7c83efebbfd44e6d5ce591646a508744425 | [
"MIT"
] | null | null | null | deploy/proc_vector.py | loadwiki/insightface | a641d7c83efebbfd44e6d5ce591646a508744425 | [
"MIT"
] | null | null | null | deploy/proc_vector.py | loadwiki/insightface | a641d7c83efebbfd44e6d5ce591646a508744425 | [
"MIT"
] | null | null | null | import face_model
import argparse
import os
import cv2
import sys
import numpy as np
parser = argparse.ArgumentParser(description='face model test')
# general
parser.add_argument('--image-size', default='112,112', help='')
parser.add_argument('--enable-gpu', default=False, type=bool, help='enable to detect and inferen... | 34.006623 | 152 | 0.659007 |
a87dc28a95aae4aa7718fabb0f98ba00c0f8f068 | 773 | py | Python | word2vec_model/BagCentroids.py | wingedRuslan/Sentiment-Analysis | 6dbc90175a2b42e33e0779f4a09b04ea99689534 | [
"MIT"
] | null | null | null | word2vec_model/BagCentroids.py | wingedRuslan/Sentiment-Analysis | 6dbc90175a2b42e33e0779f4a09b04ea99689534 | [
"MIT"
] | null | null | null | word2vec_model/BagCentroids.py | wingedRuslan/Sentiment-Analysis | 6dbc90175a2b42e33e0779f4a09b04ea99689534 | [
"MIT"
] | null | null | null |
def create_bag_of_centroids(wordlist, word_centroid_map):
"""
a function to create bags of centroids
"""
# The number of clusters is equal to the highest cluster index in the word / centroid map
num_centroids = max( word_centroid_map.values() ) + 1
# Pre-allocate the bag of centro... | 35.136364 | 93 | 0.676585 |
a87de031996b8c0feaf819ed4c35d7f0c764409a | 17,590 | py | Python | build/lib/scripts/series_tools.py | nicolas998/ifis_tools | f7b06473a916324fc37937bc5e9034cc57bc1623 | [
"MIT"
] | 3 | 2019-09-05T14:47:02.000Z | 2021-11-12T15:31:56.000Z | build/lib/scripts/series_tools.py | nicolas998/ifis_tools | f7b06473a916324fc37937bc5e9034cc57bc1623 | [
"MIT"
] | 2 | 2019-11-13T21:36:22.000Z | 2019-12-16T21:16:43.000Z | build/lib/scripts/series_tools.py | nicolas998/ifis_tools | f7b06473a916324fc37937bc5e9034cc57bc1623 | [
"MIT"
] | null | null | null | # ---
# jupyter:
# jupytext:
# formats: jupyter_scripts//ipynb,scripts//py
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.3'
# jupytext_version: 1.0.0
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # s... | 34.422701 | 107 | 0.578795 |
a87e40be3c08427f0c7c737de6d4a54b325082a5 | 2,851 | py | Python | readthedocs/proxito/views/mixins.py | dojutsu-user/readthedocs.org | d90f37d89902b849285d9ff8c506e0ca0f6e6fc4 | [
"MIT"
] | null | null | null | readthedocs/proxito/views/mixins.py | dojutsu-user/readthedocs.org | d90f37d89902b849285d9ff8c506e0ca0f6e6fc4 | [
"MIT"
] | null | null | null | readthedocs/proxito/views/mixins.py | dojutsu-user/readthedocs.org | d90f37d89902b849285d9ff8c506e0ca0f6e6fc4 | [
"MIT"
] | null | null | null | import logging
import mimetypes
from django.conf import settings
from django.core.files.storage import get_storage_class
from django.http import HttpResponse
from django.shortcuts import render
from django.utils.encoding import iri_to_uri
from django.views.static import serve
log = logging.getLogger(__name__) # noqa... | 34.768293 | 86 | 0.653104 |
a87f024d79e42e7d806ba8c1470d48f414917c1c | 4,381 | py | Python | helper.py | whs2k/googleAlerts | 78bf38e2ff707f916e6841e37762e6a7088f9a7c | [
"MIT"
] | null | null | null | helper.py | whs2k/googleAlerts | 78bf38e2ff707f916e6841e37762e6a7088f9a7c | [
"MIT"
] | null | null | null | helper.py | whs2k/googleAlerts | 78bf38e2ff707f916e6841e37762e6a7088f9a7c | [
"MIT"
] | null | null | null | import requests
import pandas as pd
import tweepy #for twitter
import os
from bs4 import BeautifulSoup
import praw #for reddit
import requests
import requests.auth
def getReddits():
'''
#1. Get Token
client_auth = requests.auth.HTTPBasicAuth('BXTDVNZqv8SFyw', 'LQtvysbgBqkh-Zjwl1XyLZMdoD4')
post_data = {"grant_ty... | 41.330189 | 138 | 0.714905 |
a8803c766a451bb61117713eb202084c40d7750f | 1,435 | py | Python | students/k3343/laboratory_works/Berezhnova_Marina/laboratory_work_1/django_project_flights/flights_app/models.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 10 | 2020-03-20T09:06:12.000Z | 2021-07-27T13:06:02.000Z | students/k3343/laboratory_works/Berezhnova_Marina/laboratory_work_1/django_project_flights/flights_app/models.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 134 | 2020-03-23T09:47:48.000Z | 2022-03-12T01:05:19.000Z | students/k3343/laboratory_works/Berezhnova_Marina/laboratory_work_1/django_project_flights/flights_app/models.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 71 | 2020-03-20T12:45:56.000Z | 2021-10-31T19:22:25.000Z | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
| 27.075472 | 110 | 0.687108 |
a88072a31c00b299fbd4de061916f3bdeec7c2c8 | 4,993 | py | Python | face_recognition/claudia/main_engine.py | hzitoun/TripletLossFace | 3f566d01b41fa91b924198a63905f3f58632f5a2 | [
"MIT"
] | 88 | 2020-01-18T09:47:03.000Z | 2021-12-18T22:34:18.000Z | face_recognition/claudia/main_engine.py | hzitoun/TripletLossFace | 3f566d01b41fa91b924198a63905f3f58632f5a2 | [
"MIT"
] | 4 | 2020-01-18T09:20:24.000Z | 2020-03-02T19:40:58.000Z | face_recognition/claudia/main_engine.py | aangfanboy/TripletLossFace | 3f566d01b41fa91b924198a63905f3f58632f5a2 | [
"MIT"
] | 40 | 2020-01-18T11:15:07.000Z | 2021-03-09T07:58:57.000Z | import tensorflow as tf
import sys
import json
import numpy as np
import cv2
from tqdm import tqdm
sys.path.append("../")
from deep_learning.make_better_dataset_for_deepfake.main_data_creator import FaceExtractor
if __name__ == '__main__':
claudia = Claudia("../deep_learning/models/triplet_inception_resnet_v1_0.h... | 25.090452 | 180 | 0.660525 |
a8811200a87031d7a49f84665c7e8ea51e4ccb14 | 648 | py | Python | django_test/articles/migrations/0008_auto_20200306_1955.py | MachineLearningIsEasy/python_lesson_22 | 7fe77da5fa611a54578d092207059f65b719ed8a | [
"MIT"
] | 1 | 2020-03-12T13:07:35.000Z | 2020-03-12T13:07:35.000Z | django_test/articles/migrations/0008_auto_20200306_1955.py | MachineLearningIsEasy/python_lesson_22 | 7fe77da5fa611a54578d092207059f65b719ed8a | [
"MIT"
] | null | null | null | django_test/articles/migrations/0008_auto_20200306_1955.py | MachineLearningIsEasy/python_lesson_22 | 7fe77da5fa611a54578d092207059f65b719ed8a | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-03-06 19:55
import datetime
from django.db import migrations, models
| 25.92 | 98 | 0.606481 |
a881135e08ba4f471543f5c8dd4cdb32fe51f578 | 2,420 | py | Python | models/002_auth.py | ecohealthalliance/sicki | 390ab06cedc205a415d823339f5816730dcc4b72 | [
"Apache-2.0"
] | null | null | null | models/002_auth.py | ecohealthalliance/sicki | 390ab06cedc205a415d823339f5816730dcc4b72 | [
"Apache-2.0"
] | null | null | null | models/002_auth.py | ecohealthalliance/sicki | 390ab06cedc205a415d823339f5816730dcc4b72 | [
"Apache-2.0"
] | null | null | null | from gluon.tools import Auth
auth = Auth(db, hmac_key=Auth.get_or_create_key())
auth.settings.registration_requires_verification = False
auth.settings.registration_requires_approval = False
auth.settings.reset_password_requires_verification = True
auth.define_tables ()
admin_role = auth.id_group ("Administrator")
if... | 28.470588 | 113 | 0.634298 |
a881a8440fb6934709fdfc72c63ec22d17333b12 | 3,154 | py | Python | utils/data_utils.py | a514514772/Hijackgan | d98dcddd64a2f28302ded2fbe51b398db0ae4cc4 | [
"MIT"
] | 36 | 2021-03-23T21:00:24.000Z | 2022-03-30T03:08:00.000Z | utils/data_utils.py | a514514772/Hijackgan | d98dcddd64a2f28302ded2fbe51b398db0ae4cc4 | [
"MIT"
] | 4 | 2021-04-26T07:41:34.000Z | 2021-09-28T08:50:40.000Z | utils/data_utils.py | a514514772/hijackgan | d98dcddd64a2f28302ded2fbe51b398db0ae4cc4 | [
"MIT"
] | null | null | null | # +
import argparse
import os
import pickle
import sys
sys.path.append("..")
import numpy as np
import torchvision
import torchvision.transforms as T
import torch.utils.data as torch_data
from tqdm import tqdm
from models.classifiers import EvalCompoundResNet
# -
if __name__ == '__main__':
main()
| 32.183673 | 112 | 0.622384 |
a883398d1013f82065fdcd6cb3f64c0a32a024f7 | 743 | py | Python | membership/urls.py | kay-han/building-blog | 2bdbee68b484193c636ed869b2de605df67b2a48 | [
"Unlicense"
] | null | null | null | membership/urls.py | kay-han/building-blog | 2bdbee68b484193c636ed869b2de605df67b2a48 | [
"Unlicense"
] | null | null | null | membership/urls.py | kay-han/building-blog | 2bdbee68b484193c636ed869b2de605df67b2a48 | [
"Unlicense"
] | null | null | null | from django.urls import path
from .views import UserRegisterView, UserEditView, PasswordsChangeView
from django.contrib.auth import views as auth_views #It allows using some of the views that come with the authentication system comes with django
from . import views
urlpatterns = [
path('registeration/', UserRegis... | 57.153846 | 146 | 0.776581 |
a884c82cc571aa5061e58f71c9e99493a0106092 | 615 | py | Python | numpan/pan03.py | jaywoong/python | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | [
"Apache-2.0"
] | null | null | null | numpan/pan03.py | jaywoong/python | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | [
"Apache-2.0"
] | 1 | 2021-11-07T04:54:55.000Z | 2021-11-07T04:54:55.000Z | numpan/pan03.py | jaywoong/learn_pandas | 972ad015c142d5e88ea821694b7a95e6aeb4e172 | [
"Apache-2.0"
] | null | null | null | import pandas as pd;
import numpy as np;
data1 = ['A',2];
data2 = ['B',4];
df1 = pd.DataFrame([data1,data2]);
print(df1);
data = {'subject' : ['math', 'comp', 'phys', 'chem'],
'score': [100, 90, 85, 95],
'students': [94, 32, 83, 17]};
df2 = pd.DataFrame(data);
print(df2);
print(len(df2));
print(df2.s... | 21.964286 | 64 | 0.585366 |
a885f24e9c1a06fce54f92a0cfe74a09e9f9a42e | 190 | py | Python | astrochem_ml/__init__.py | laserkelvin/astrochem_ml | 1385e481525681943e50467af58f317401747acd | [
"MIT"
] | null | null | null | astrochem_ml/__init__.py | laserkelvin/astrochem_ml | 1385e481525681943e50467af58f317401747acd | [
"MIT"
] | 2 | 2021-11-18T01:33:22.000Z | 2021-11-18T14:04:43.000Z | astrochem_ml/__init__.py | laserkelvin/astrochem_ml | 1385e481525681943e50467af58f317401747acd | [
"MIT"
] | null | null | null | """Top-level package for Astrochem ML."""
from astrochem_ml import smiles, classes
__author__ = """Kin Long Kelvin Lee"""
__email__ = 'kin.long.kelvin.lee@gmail.com'
__version__ = '0.1.0'
| 23.75 | 43 | 0.721053 |
a88816b3f545c55918110797952195372fc30a92 | 1,929 | py | Python | hexastore/bisect.py | alexchamberlain/mutant | 3f4ec0df8b83b2de18766e2c9e1808cff4fd52a9 | [
"MIT"
] | 3 | 2019-06-15T13:13:39.000Z | 2020-02-07T19:54:12.000Z | hexastore/bisect.py | alexchamberlain/mutant | 3f4ec0df8b83b2de18766e2c9e1808cff4fd52a9 | [
"MIT"
] | 276 | 2019-07-03T06:18:37.000Z | 2021-07-28T05:24:59.000Z | hexastore/bisect.py | alexchamberlain/mutant | 3f4ec0df8b83b2de18766e2c9e1808cff4fd52a9 | [
"MIT"
] | null | null | null | """Bisection algorithms."""
from typing import Callable, Optional, Sequence, TypeVar, cast
from .typing import Comparable
T = TypeVar("T")
U = TypeVar("U", bound=Comparable)
def bisect_left(
a: Sequence[T], x: T, lo: int = 0, hi: Optional[int] = None, key: Optional[Callable[[T], U]] = None
) -> int:
"""Ret... | 25.72 | 103 | 0.573354 |
a88879bc5d222329cf1a2ee415609fd7c5eb6c07 | 1,529 | py | Python | tests/fdb.py | OriolOMM/fdb | 561edf48a8999e58feafe84451320ccc4f45892d | [
"Apache-2.0"
] | null | null | null | tests/fdb.py | OriolOMM/fdb | 561edf48a8999e58feafe84451320ccc4f45892d | [
"Apache-2.0"
] | null | null | null | tests/fdb.py | OriolOMM/fdb | 561edf48a8999e58feafe84451320ccc4f45892d | [
"Apache-2.0"
] | 1 | 2020-02-13T16:54:19.000Z | 2020-02-13T16:54:19.000Z | import RPi.GPIO as GPIO # Import Raspberry Pi GPIO library
from datetime import datetime
import time
import paho.mqtt.client as mqtt
# The callback for when the client receives a CONNACK response from the server.
# The callback for when a PUBLISH message is received from the server.
GPIO.setwarnings(False) # Ignore... | 34.75 | 128 | 0.725965 |
a888a17e5cc1d1b46ed3663d418f931e372c9caf | 3,150 | py | Python | test.py | eldinsahbaz/MetaheuristicOptimization | d553c4ea791e10b64384056927502717f5009378 | [
"MIT"
] | 1 | 2019-02-22T18:26:55.000Z | 2019-02-22T18:26:55.000Z | test.py | eldinsahbaz/MetaheuristicOptimization | d553c4ea791e10b64384056927502717f5009378 | [
"MIT"
] | null | null | null | test.py | eldinsahbaz/MetaheuristicOptimization | d553c4ea791e10b64384056927502717f5009378 | [
"MIT"
] | null | null | null | import PSO
import numpy as np
from pprint import pprint
from functools import partial
# Define the details of the table design problem
num_variables = 2
upper_bounds = np.zeros(num_variables) + 10
lower_bounds = np.zeros(num_variables) - 10
max_velocity = (upper_bounds - lower_bounds) * 0.2
min_velocity = -max_vel... | 29.439252 | 195 | 0.583492 |
a888ce23b322d5cd58ae4ab4704251709df155c9 | 193 | py | Python | autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py | viniciusban/dotfiles | e4048ef236e620ffffc83cce6d51e49019aa4e8e | [
"MIT"
] | null | null | null | autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py | viniciusban/dotfiles | e4048ef236e620ffffc83cce6d51e49019aa4e8e | [
"MIT"
] | 1 | 2020-05-08T00:37:35.000Z | 2020-05-08T00:37:35.000Z | autokey/data/My Phrases/viniciusban/terminal/kubectl exec -it from clipboard.py | viniciusban/dotfiles | e4048ef236e620ffffc83cce6d51e49019aa4e8e | [
"MIT"
] | null | null | null | # Enter script code
message = "kubectl exec -it <cursor> -- bash"
keyboard.send_keys("kubectl exec -it ")
keyboard.send_keys("<shift>+<ctrl>+v")
time.sleep(0.1)
keyboard.send_keys(" -- bash")
| 24.125 | 45 | 0.694301 |
a88abbaa6de226c43d73cf509cf13cab18de2ecb | 848 | py | Python | 05. DiagonalDifference/solution.py | avishkar2001/AlgorithmHackerRank | d9489ba329121cbbbbc28b15fb8570d7696cde88 | [
"MIT"
] | 11 | 2020-09-18T16:23:06.000Z | 2022-01-22T11:59:57.000Z | 05. DiagonalDifference/solution.py | avishkar2001/AlgorithmHackerRank | d9489ba329121cbbbbc28b15fb8570d7696cde88 | [
"MIT"
] | 1 | 2020-10-02T14:33:08.000Z | 2021-10-05T02:44:19.000Z | 05. DiagonalDifference/solution.py | avishkar2001/AlgorithmHackerRank | d9489ba329121cbbbbc28b15fb8570d7696cde88 | [
"MIT"
] | 11 | 2020-09-18T16:23:13.000Z | 2022-01-22T11:59:58.000Z | '''
Topic : Algorithms
Subtopic : Diagonal Difference
Language : Python
Problem Statement : Given a square matrix, calculate the absolute difference between the sums of its diagonals.
Url : https://www.hackerrank.com/challenges/diagonal-difference/problem
'''
#!/bin/python3
# Complete the 'diagonalD... | 32.615385 | 115 | 0.665094 |
a88d07cc4a9ee4c4430ecfdb6282a384f81f2ed4 | 334 | py | Python | codeforces/dp动态规划/800/702A最大上升子列.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | codeforces/dp动态规划/800/702A最大上升子列.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | codeforces/dp动态规划/800/702A最大上升子列.py | yofn/pyacm | e573f8fdeea77513711f00c42f128795cbba65a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# https://codeforces.com/problemset/problem/702/A
#DP?
_ = input()
l = list(map(int,input().split())) #https://codeforces.com/blog/entry/71884
maxL = 1
curL = 1
for i in range(1,len(l)):
if l[i]<=l[i-1]:
curL = 1
continue
curL += 1
if curL > maxL: maxL = curL
print... | 18.555556 | 75 | 0.601796 |
a88e1dd680b976d538070862154a5f05e9ddacef | 10,087 | py | Python | pyrobolearn/algos/fd.py | Pandinosaurus/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | [
"Apache-2.0"
] | 2 | 2021-01-21T21:08:30.000Z | 2022-03-29T16:45:49.000Z | pyrobolearn/algos/fd.py | Pandinosaurus/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | [
"Apache-2.0"
] | null | null | null | pyrobolearn/algos/fd.py | Pandinosaurus/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | [
"Apache-2.0"
] | 1 | 2020-09-29T21:25:39.000Z | 2020-09-29T21:25:39.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Provide the Finite-Difference (FD) method algorithm.
This FD method is a policy gradient algorithm that explores in the parameter space of the policy in an episodic way.
"""
import numpy as np
import torch
from pyrobolearn.envs import Env
from pyrobolearn.tasks import... | 42.029167 | 119 | 0.620898 |
a88e902897afb9409b614fb8fea1673c9e1aaf16 | 592 | py | Python | example/rest/system_rest_example.py | bitcom-exchange/bitcom-python-api | 1491481f376ba7e7d4a7d2edb2f4400b8e4d7ec3 | [
"MIT"
] | 4 | 2021-03-04T00:10:24.000Z | 2021-12-15T01:49:39.000Z | example/rest/system_rest_example.py | bitcom-exchange/bitcom-python-api | 1491481f376ba7e7d4a7d2edb2f4400b8e4d7ec3 | [
"MIT"
] | null | null | null | example/rest/system_rest_example.py | bitcom-exchange/bitcom-python-api | 1491481f376ba7e7d4a7d2edb2f4400b8e4d7ec3 | [
"MIT"
] | null | null | null | from bitcom.client.system_client import SystemClient
from bitcom.utils import *
from bitcom.constant import *
system_client = SystemClient(url=USER1_HOST, access_key=USER1_ACCESS_KEY, secret_key=USER1_SECRET_KEY)
timestamp_response = system_client.get_system_timestamp()
LogInfo.output("Get server timestamp: ", timesta... | 42.285714 | 102 | 0.839527 |
a8908a5ec5616695737ca542359a44699f12cde8 | 6,722 | py | Python | gg_gui/gui/gg_start.py | ealcobaca/optimizer_pool | e93ac72c1547bc3813a0edf822d5fd453f22ce49 | [
"MIT"
] | 1 | 2022-03-10T21:46:07.000Z | 2022-03-10T21:46:07.000Z | gg_gui/gui/gg_start.py | ealcobaca/optimizer_pool | e93ac72c1547bc3813a0edf822d5fd453f22ce49 | [
"MIT"
] | null | null | null | gg_gui/gui/gg_start.py | ealcobaca/optimizer_pool | e93ac72c1547bc3813a0edf822d5fd453f22ce49 | [
"MIT"
] | 1 | 2022-03-10T21:46:09.000Z | 2022-03-10T21:46:09.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui/GG_start.ui'
#
# Created by: PyQt5 UI code generator 5.10.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
from utilGui import Names
| 41.239264 | 74 | 0.666617 |
a8944f28e696185ef0651eba49869976c687f070 | 10,005 | py | Python | gbpservice/contrib/tests/unit/nfp/configurator/agents/test_firewall.py | ansao-aci/group-based-policy | d80a94dcb51bfce6994cd18339d3c79a7cb54bfe | [
"Apache-2.0"
] | null | null | null | gbpservice/contrib/tests/unit/nfp/configurator/agents/test_firewall.py | ansao-aci/group-based-policy | d80a94dcb51bfce6994cd18339d3c79a7cb54bfe | [
"Apache-2.0"
] | null | null | null | gbpservice/contrib/tests/unit/nfp/configurator/agents/test_firewall.py | ansao-aci/group-based-policy | d80a94dcb51bfce6994cd18339d3c79a7cb54bfe | [
"Apache-2.0"
] | 1 | 2019-12-03T15:28:24.000Z | 2019-12-03T15:28:24.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 35.228873 | 78 | 0.625087 |
a8945cb8801554f627e2ef91c6ad0ae2533363a4 | 603 | py | Python | deepchem/data/test_data_loader.py | n3011/deepchem | c316d998c462ce01032f0dae883856b400ea4765 | [
"MIT"
] | 2 | 2021-04-01T01:17:53.000Z | 2021-10-04T16:46:13.000Z | deepchem/data/test_data_loader.py | n3011/deepchem | c316d998c462ce01032f0dae883856b400ea4765 | [
"MIT"
] | 1 | 2020-07-13T18:59:49.000Z | 2020-07-13T18:59:49.000Z | deepchem/data/test_data_loader.py | n3011/deepchem | c316d998c462ce01032f0dae883856b400ea4765 | [
"MIT"
] | 1 | 2021-04-06T20:32:02.000Z | 2021-04-06T20:32:02.000Z | import os
from unittest import TestCase
from io import StringIO
import tempfile
import shutil
import deepchem as dc
| 24.12 | 66 | 0.719735 |
a895712ceea2a7fbba14537af18f253be776f176 | 11,382 | py | Python | fiwareglancesync/glancesync_serverfacade_mock.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | null | null | null | fiwareglancesync/glancesync_serverfacade_mock.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | 88 | 2015-07-21T22:13:23.000Z | 2016-11-15T21:28:56.000Z | fiwareglancesync/glancesync_serverfacade_mock.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | 2 | 2015-08-12T11:19:55.000Z | 2018-05-25T19:04:43.000Z | #!/usr/bin/env python
# -- encoding: utf-8 --
#
# Copyright 2015-2016 Telefnica Investigacin y Desarrollo, S.A.U
#
# This file is part of FI-WARE 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 t... | 37.94 | 79 | 0.627833 |
a896d0baf80ed99339ea2d85b7342a139e8dfc26 | 3,127 | py | Python | 0867_transpose_matrix/python_source.py | arthurdysart/LeetCode | 69f90877c5466927e8b081c4268cbcda074813ec | [
"Unlicense"
] | null | null | null | 0867_transpose_matrix/python_source.py | arthurdysart/LeetCode | 69f90877c5466927e8b081c4268cbcda074813ec | [
"Unlicense"
] | null | null | null | 0867_transpose_matrix/python_source.py | arthurdysart/LeetCode | 69f90877c5466927e8b081c4268cbcda074813ec | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Leetcode - Transpose Matrix
https://leetcode.com/problems/transpose-matrix
Created on Fri Nov 23 11:13:48 2018
@author: Arthur Dysart
"""
## REQUIRED MODULES
import sys
## MODULE DEFINITIONS
## MAIN MODULE
if __name__ == "__main__":
# Import exercise parameters
... | 23.870229 | 76 | 0.525424 |
a897a4fa8a48d750657c9f7f093c97c8595dcb6d | 3,094 | py | Python | src/test/aiml_tests/pattern_set_tests/test_pattern_set_aiml.py | narnikgamarnikus/program-y | 777b9a8a75ec787c037de9f11a8527875ff450b1 | [
"MIT"
] | null | null | null | src/test/aiml_tests/pattern_set_tests/test_pattern_set_aiml.py | narnikgamarnikus/program-y | 777b9a8a75ec787c037de9f11a8527875ff450b1 | [
"MIT"
] | null | null | null | src/test/aiml_tests/pattern_set_tests/test_pattern_set_aiml.py | narnikgamarnikus/program-y | 777b9a8a75ec787c037de9f11a8527875ff450b1 | [
"MIT"
] | null | null | null | import unittest
import os
from test.aiml_tests.client import TestClient
from programy.config.sections.brain.file import BrainFileConfiguration
| 50.721311 | 123 | 0.73788 |
a89927879bad1ad4980da6b351229d2b04e26b9e | 1,885 | py | Python | Python/erect-the-fence.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | 1 | 2022-01-30T06:55:28.000Z | 2022-01-30T06:55:28.000Z | Python/erect-the-fence.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | null | null | null | Python/erect-the-fence.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | 1 | 2021-12-31T03:56:39.000Z | 2021-12-31T03:56:39.000Z | # Time: O(nlogn)
# Space: O(n)
# There are some trees, where each tree is represented by
# (x,y) coordinate in a two-dimensional garden.
# Your job is to fence the entire garden using the minimum length of rope
# as it is expensive. The garden is well fenced only if all the trees are enclosed.
# Your task is to help ... | 29.920635 | 102 | 0.584615 |
a899d0bde8415bf24f5d7bf27bdd0c2ee8c0fdf1 | 391 | py | Python | clase 1/quiz 1/quiz 1 exe.py | amedina14/uip-iq17-pc3 | 89f04c0670079384cee40736d5c92175a8c586a5 | [
"MIT"
] | null | null | null | clase 1/quiz 1/quiz 1 exe.py | amedina14/uip-iq17-pc3 | 89f04c0670079384cee40736d5c92175a8c586a5 | [
"MIT"
] | null | null | null | clase 1/quiz 1/quiz 1 exe.py | amedina14/uip-iq17-pc3 | 89f04c0670079384cee40736d5c92175a8c586a5 | [
"MIT"
] | null | null | null | '''
Quiz 1:
Hacer un programa que lea una temperatura en farenheit y la convierta en celsius y si es mayor
a 100C imprima "caliente". Si es menor a 0C imprima "frio"
'''
tempF = int(input("TempF: "))
#(tempF - 32/(5/9))
tempC = (((tempF - 32)*5)/9)
print("\nLa temperatura en Celsius es " + str(tempC))
... | 23 | 95 | 0.629156 |
a89a91a25c7d71cc53adcd1adb0b082bb4aacfbb | 59 | py | Python | config.py | retry0/botTelegram-nCov | e75cac6db6ca0f3e8394c82a612bd150fc9c9d44 | [
"MIT"
] | null | null | null | config.py | retry0/botTelegram-nCov | e75cac6db6ca0f3e8394c82a612bd150fc9c9d44 | [
"MIT"
] | null | null | null | config.py | retry0/botTelegram-nCov | e75cac6db6ca0f3e8394c82a612bd150fc9c9d44 | [
"MIT"
] | null | null | null | api_key = "1108029941:AAGkHMtVFPT1-SsL5dRZn7gR65hxWD9-HH0"
| 29.5 | 58 | 0.847458 |
a89b1257c0b814198cd9f23f6ab82d1368f8a690 | 347 | py | Python | aws-computation.py | juhi04/CodeDeployGitHubDemo | 063778394a5c3adee719834b2e8116940b77b106 | [
"Apache-2.0"
] | null | null | null | aws-computation.py | juhi04/CodeDeployGitHubDemo | 063778394a5c3adee719834b2e8116940b77b106 | [
"Apache-2.0"
] | null | null | null | aws-computation.py | juhi04/CodeDeployGitHubDemo | 063778394a5c3adee719834b2e8116940b77b106 | [
"Apache-2.0"
] | 1 | 2020-09-13T21:19:01.000Z | 2020-09-13T21:19:01.000Z | import pandas as pd
import redis
if __name__=='__main__':
try:
while True:
df = create_dummy_df()
except (KeyboardInterrupt, SystemExit):
print('Exited on user request')
| 19.277778 | 57 | 0.590778 |
a89c762bc05a26b656892179338f84a25bc98f02 | 12,651 | py | Python | botpubg-mpgh/SuperBot.py | fuckpubg/AHK | 7b41869d9692b6d207ce9d7939ea3cb6563386fd | [
"Apache-2.0"
] | 58 | 2017-10-25T17:24:15.000Z | 2022-03-06T21:50:41.000Z | botpubg-mpgh/SuperBot.py | haryandrafatwa/AHK | 7b41869d9692b6d207ce9d7939ea3cb6563386fd | [
"Apache-2.0"
] | 2 | 2017-10-28T07:08:18.000Z | 2018-01-17T03:47:49.000Z | botpubg-mpgh/SuperBot.py | haryandrafatwa/AHK | 7b41869d9692b6d207ce9d7939ea3cb6563386fd | [
"Apache-2.0"
] | 53 | 2017-11-03T06:38:36.000Z | 2021-09-20T00:38:14.000Z | # -*- coding: utf-8 -*-
import json
import os
import time
import psutil
import pyautogui
pubg_url = 'steam://rungameid/578080'
PROCNAME = "TslGame.exe"
CRASH_PROCNAME = "BroCrashReporter.exe"
debug_directory = "debug_screenshots"
start_state = "HELLO"
play_state = "PLAYING"
play_timer_max = 60 * 3
matching_state = ... | 43.927083 | 142 | 0.629594 |
a89c866513806e569539b19ae1bf174a8a98c694 | 10,645 | py | Python | mailcheker.py | yamamototakas/mailChecker | 2798f467b96f005d2c0d657d4798720f217a113d | [
"MIT"
] | null | null | null | mailcheker.py | yamamototakas/mailChecker | 2798f467b96f005d2c0d657d4798720f217a113d | [
"MIT"
] | null | null | null | mailcheker.py | yamamototakas/mailChecker | 2798f467b96f005d2c0d657d4798720f217a113d | [
"MIT"
] | null | null | null | #! C:\bin\Python35\python.exe
# -*- coding: utf-8 -*-
'''
Modified for python3 on 2012/04/29
original python2 version is Created on 2011/10/30
@author: tyama
'''
import poplib
import email.header
import string
import re
import urllib.request
import urllib.error
import urllib.parse
import http.cookiejar
import socket
... | 28.538874 | 95 | 0.513293 |
a89d5ea301daab707e4e307ee463a9e25963e7c1 | 7,626 | py | Python | tests/epc_schemes/test_giai.py | nedap/retail-epcpy | f5a454f2a06053f64bc42e6c6411fbd6cb47e745 | [
"MIT"
] | 2 | 2022-03-21T08:22:30.000Z | 2022-03-22T12:32:29.000Z | tests/epc_schemes/test_giai.py | nedap/retail-epcpy | f5a454f2a06053f64bc42e6c6411fbd6cb47e745 | [
"MIT"
] | 1 | 2022-03-28T14:48:52.000Z | 2022-03-28T14:48:52.000Z | tests/epc_schemes/test_giai.py | nedap/retail-epcpy | f5a454f2a06053f64bc42e6c6411fbd6cb47e745 | [
"MIT"
] | null | null | null | import unittest
from epcpy.epc_schemes.giai import GIAI, GIAIFilterValue
from tests.epc_schemes.test_base_scheme import (
TestEPCSchemeInitMeta,
TestGS1ElementMeta,
TestTagEncodableMeta,
)
| 34.663636 | 80 | 0.550747 |
a89e3fe1a4c7cef6a1cb619cc685d9746e6605e8 | 694 | py | Python | tests/conftest.py | olist/olist-loafer | cb3bc0a46ca5a343fbd455181045212e4d032ce6 | [
"MIT"
] | 11 | 2017-10-06T18:18:16.000Z | 2021-12-23T11:34:11.000Z | tests/conftest.py | pydrinker/pydrinker-loafer | 32d2a36827f15cc2b5362ee54da7702267da24c9 | [
"MIT"
] | 7 | 2017-02-16T13:20:54.000Z | 2020-11-03T13:50:46.000Z | tests/conftest.py | pydrinker/pydrinker-loafer | 32d2a36827f15cc2b5362ee54da7702267da24c9 | [
"MIT"
] | 2 | 2017-10-06T18:18:31.000Z | 2020-09-10T15:09:45.000Z | import pytest
from loafer.providers import AbstractProvider
| 23.133333 | 58 | 0.670029 |
a89e48cf3a4bd044b3bfeec924a6e17c47c0d752 | 543 | py | Python | setup.py | anderct105/Dataset_python | 9ab17eda584b6d65e6b37eb2c377f7634d375e8a | [
"MIT"
] | null | null | null | setup.py | anderct105/Dataset_python | 9ab17eda584b6d65e6b37eb2c377f7634d375e8a | [
"MIT"
] | null | null | null | setup.py | anderct105/Dataset_python | 9ab17eda584b6d65e6b37eb2c377f7634d375e8a | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='dataset',
version='0.0.1',
author='Ander Cejudo',
author_email='acejudo001@ikasle.ehu.eus',
packages=['dataset'],
url='Indicar una URL para el paquete...',
license='LICENSE.txt',
description='This package includes some basic functions to work with a dat... | 27.15 | 90 | 0.635359 |
a89e666e84a477e51e3b884be7e9dbae7e3aa151 | 8,456 | py | Python | install/services/event.py | philipcwhite/monitoring2 | 05e24efbfc3caace248eb6daa1288920a9758178 | [
"Apache-2.0"
] | 10 | 2018-12-23T07:42:11.000Z | 2022-03-11T09:43:19.000Z | install/services/event.py | philipcwhite/monitoring2 | 05e24efbfc3caace248eb6daa1288920a9758178 | [
"Apache-2.0"
] | 2 | 2020-08-26T11:42:20.000Z | 2021-02-03T13:52:52.000Z | install/services/event.py | philipcwhite/monitoring2 | 05e24efbfc3caace248eb6daa1288920a9758178 | [
"Apache-2.0"
] | 5 | 2018-12-27T20:02:17.000Z | 2021-11-15T12:46:42.000Z | import datetime, configparser, os, smtplib, time, pymysql.cursors
from email.message import EmailMessage
ED = EventData()
def start_server():
EventConfig.load_config()
while EventSettings.running == True:
a = datetime.datetime.now().second
if a == 0:
EventAvailable.check_av... | 45.219251 | 370 | 0.585501 |
a89fa94a38be0f7ff83779a36c140bcbf11011b7 | 1,422 | py | Python | publicacion/migrations/0002_remove_publicacion_user_publicacion_autor_and_more.py | chelocastillo1/test | b783e64dbd3071c3ed074e9ce23da047e9bad97d | [
"CC0-1.0"
] | 1 | 2021-12-12T22:27:52.000Z | 2021-12-12T22:27:52.000Z | publicacion/migrations/0002_remove_publicacion_user_publicacion_autor_and_more.py | chelocastillo1/test | b783e64dbd3071c3ed074e9ce23da047e9bad97d | [
"CC0-1.0"
] | null | null | null | publicacion/migrations/0002_remove_publicacion_user_publicacion_autor_and_more.py | chelocastillo1/test | b783e64dbd3071c3ed074e9ce23da047e9bad97d | [
"CC0-1.0"
] | null | null | null | # Generated by Django 4.0 on 2021-12-15 02:51
from django.db import migrations, models
import django.db.models.deletion
| 28.44 | 116 | 0.561181 |
a89fc07496dfb31710239a16f1bdafb72d4ca886 | 6,242 | py | Python | databricks/koalas/missing/window.py | HG1112/koalas | 580f48c81d3d2236c399063ce453f9170d88b954 | [
"Apache-2.0"
] | 1 | 2019-12-06T05:01:34.000Z | 2019-12-06T05:01:34.000Z | databricks/koalas/missing/window.py | HG1112/koalas | 580f48c81d3d2236c399063ce453f9170d88b954 | [
"Apache-2.0"
] | null | null | null | databricks/koalas/missing/window.py | HG1112/koalas | 580f48c81d3d2236c399063ce453f9170d88b954 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (C) 2019 Databricks, 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 i... | 44.585714 | 100 | 0.768343 |
a8a0133356f4f20d5bb0f1a7ef3b7ad354fcc592 | 1,891 | py | Python | task/bq2bq/executor/bumblebee/loader.py | pikochip/transformers | aa14f19efd2a83aebd7b0d3a296053283b98e624 | [
"Apache-2.0"
] | 34 | 2021-06-16T17:25:13.000Z | 2021-08-13T08:21:22.000Z | task/bq2bq/executor/bumblebee/loader.py | pikochip/transformers | aa14f19efd2a83aebd7b0d3a296053283b98e624 | [
"Apache-2.0"
] | 12 | 2021-08-10T10:08:48.000Z | 2022-03-09T10:14:29.000Z | task/bq2bq/executor/bumblebee/loader.py | pikochip/transformers | aa14f19efd2a83aebd7b0d3a296053283b98e624 | [
"Apache-2.0"
] | 4 | 2021-08-10T13:10:22.000Z | 2022-02-19T14:04:21.000Z | from bumblebee.bigquery_service import BigqueryService
from datetime import datetime
from abc import ABC
from abc import abstractmethod
from bumblebee.config import LoadMethod
| 35.018519 | 105 | 0.673189 |
a8a04bb0a9831548bd868b09fed78c535d82ee0a | 250 | py | Python | Servus/home/urls.py | sug4rok/Servus | 9840d0e275085c08b99fc7662eb22f2ab253d8f8 | [
"MIT"
] | null | null | null | Servus/home/urls.py | sug4rok/Servus | 9840d0e275085c08b99fc7662eb22f2ab253d8f8 | [
"MIT"
] | null | null | null | Servus/home/urls.py | sug4rok/Servus | 9840d0e275085c08b99fc7662eb22f2ab253d8f8 | [
"MIT"
] | null | null | null | # coding=utf-8
from django.conf.urls import url
from .views import home, positioned, tiled
urlpatterns = [
url(r'^$', home),
url(r'home/$', home),
url(r'positioned-(?P<plan_id>[0-9]{1,4})/$', positioned),
url(r'tiled/$', tiled),
]
| 20.833333 | 61 | 0.608 |
a8a2455ceee1098085ee522a4b49f599484a640e | 1,499 | py | Python | app/API/read.py | blagisquet/testNautilux | c7952b3ff1a43555d451704430f15a09d9aa574a | [
"MIT"
] | null | null | null | app/API/read.py | blagisquet/testNautilux | c7952b3ff1a43555d451704430f15a09d9aa574a | [
"MIT"
] | null | null | null | app/API/read.py | blagisquet/testNautilux | c7952b3ff1a43555d451704430f15a09d9aa574a | [
"MIT"
] | null | null | null | import mysql.connector
from mysql.connector import Error
try:
# connection au serveur mysql database interventions
connection = mysql.connector.connect(host='localhost',
database='interventions',
user='root')
# SELECT la totalit de la ... | 34.068182 | 70 | 0.648432 |
a8a3681ea625f23d752d8458f7791096844d0480 | 4,482 | py | Python | 2_CS_Medium/Leetcode/Interview_Easy/DLC_9_Other.py | andremichalowski/CSN1 | 97eaa66b324ef1850237dd6dcd6d8f71a1a2b64b | [
"MIT"
] | null | null | null | 2_CS_Medium/Leetcode/Interview_Easy/DLC_9_Other.py | andremichalowski/CSN1 | 97eaa66b324ef1850237dd6dcd6d8f71a1a2b64b | [
"MIT"
] | null | null | null | 2_CS_Medium/Leetcode/Interview_Easy/DLC_9_Other.py | andremichalowski/CSN1 | 97eaa66b324ef1850237dd6dcd6d8f71a1a2b64b | [
"MIT"
] | null | null | null | 1. Number of 1 Bits (HammingWeight):
https://leetcode.com/explore/interview/card/top-interview-questions-easy/99/others/565/
# Easy way
def hammingWeight(self, n: int) -> int:
return bin(n).count('1')
# Harder way - https://stackoverflow.com/questions/21237767/python-a-b-meaning
2. Hamming Distanc... | 33.699248 | 141 | 0.555779 |
a8a48dba10dc8bcece98d956d127819f587eacf1 | 13,796 | py | Python | src/main/java/nl/Ipsen5Server/Service/kik-bot-api-unofficial/examples/kik_unofficial/protobuf/common/v2/model_pb2.py | anthonyscheeres/Ipen5BackendGroep11 | e2675c2ac6580f0a6f1d9e5f755f19405d17e514 | [
"Apache-2.0"
] | null | null | null | src/main/java/nl/Ipsen5Server/Service/kik-bot-api-unofficial/examples/kik_unofficial/protobuf/common/v2/model_pb2.py | anthonyscheeres/Ipen5BackendGroep11 | e2675c2ac6580f0a6f1d9e5f755f19405d17e514 | [
"Apache-2.0"
] | null | null | null | src/main/java/nl/Ipsen5Server/Service/kik-bot-api-unofficial/examples/kik_unofficial/protobuf/common/v2/model_pb2.py | anthonyscheeres/Ipen5BackendGroep11 | e2675c2ac6580f0a6f1d9e5f755f19405d17e514 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: common/v2/model.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import refle... | 37.79726 | 1,243 | 0.711293 |
a8a4c55a0c99efa3899b4d5f168237ee4f5c459c | 24,112 | py | Python | scripts/fitter/pcl_fitter.py | yuki-inaho/zense_grpc_rgbd_ir | 76739df6b1a402177d2cf47c791faa252688d5b3 | [
"Apache-2.0"
] | null | null | null | scripts/fitter/pcl_fitter.py | yuki-inaho/zense_grpc_rgbd_ir | 76739df6b1a402177d2cf47c791faa252688d5b3 | [
"Apache-2.0"
] | null | null | null | scripts/fitter/pcl_fitter.py | yuki-inaho/zense_grpc_rgbd_ir | 76739df6b1a402177d2cf47c791faa252688d5b3 | [
"Apache-2.0"
] | null | null | null |
import math
from math import pi
import numpy as np
import open3d as o3d
import matplotlib.pyplot as plt
import cv2
import toml
from .cameraparam import CameraParam
from .fitted_line import FittedLine
from .ransac_fit import ransac_line_fit, ransac_ground_fit
from .util import check_all_false
# TODO: output random s... | 41.644214 | 202 | 0.610443 |
a8a5e0c27d2bf91d41a039f1df6281d8a3c2cf81 | 17,867 | py | Python | dataschema/schema2sql.py | NunaInc/sql_tools | 51d63ae77c18ccbfdcab703e8ebbee7c78972892 | [
"Apache-2.0"
] | 1 | 2022-03-30T19:47:16.000Z | 2022-03-30T19:47:16.000Z | dataschema/schema2sql.py | NunaInc/sql_tools | 51d63ae77c18ccbfdcab703e8ebbee7c78972892 | [
"Apache-2.0"
] | null | null | null | dataschema/schema2sql.py | NunaInc/sql_tools | 51d63ae77c18ccbfdcab703e8ebbee7c78972892 | [
"Apache-2.0"
] | 1 | 2022-03-30T04:07:12.000Z | 2022-03-30T04:07:12.000Z | #
# nuna_sql_tools: Copyright 2022 Nuna 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... | 41.745327 | 83 | 0.597022 |
a8a60a167cdfc1752d84114af1252a56c3863ffe | 4,701 | py | Python | fca/algorithms/incremental.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | 3 | 2015-09-07T00:16:16.000Z | 2019-01-11T20:27:56.000Z | fca/algorithms/incremental.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | fca/algorithms/incremental.py | ksiomelo/cubix | cd9e6dda6696b302a7c0d383259a9d60b15b0d55 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Holds implementation of Norris' algorithm"""
from copy import copy
from fca import Concept, ConceptSystem,ConceptLink
#from fca.algorithms.incremental import derivation
| 43.12844 | 137 | 0.496703 |
a8a7d8e6afe65edaedc8265f8a3b5df9ef15cdd9 | 2,714 | py | Python | adaptive/tests/test_pickling.py | AlvaroGI/adaptive | 7b316c9f2972fe9ba768def86117903b90b140e5 | [
"BSD-3-Clause"
] | null | null | null | adaptive/tests/test_pickling.py | AlvaroGI/adaptive | 7b316c9f2972fe9ba768def86117903b90b140e5 | [
"BSD-3-Clause"
] | null | null | null | adaptive/tests/test_pickling.py | AlvaroGI/adaptive | 7b316c9f2972fe9ba768def86117903b90b140e5 | [
"BSD-3-Clause"
] | null | null | null | import pickle
import pytest
from adaptive.learner import (
AverageLearner,
BalancingLearner,
DataSaver,
IntegratorLearner,
Learner1D,
Learner2D,
SequenceLearner,
)
from adaptive.runner import simple
try:
import cloudpickle
with_cloudpickle = True
except ModuleNotFoundError:
w... | 23.396552 | 83 | 0.70339 |
a8a8041933930261f3a31462ef960ecbd49c2f5c | 461 | py | Python | demo/worlddata/migrations/0005_foods_hunger.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | demo/worlddata/migrations/0005_foods_hunger.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | demo/worlddata/migrations/0005_foods_hunger.py | MarsZone/DreamLand | 87455f421c1ba09cb6efd5fc0882fbc2a29ea1a5 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.13 on 2017-07-06 08:03
from __future__ import unicode_literals
from django.db import migrations, models
| 21.952381 | 61 | 0.618221 |
a8a830fc1bf61dcb27f3d46222c49301867517cd | 1,216 | py | Python | woodstock/auth_backends.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | woodstock/auth_backends.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | woodstock/auth_backends.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | from woodstock.models import Invitee, Participant
from woodstock import settings
from django.core.exceptions import ObjectDoesNotExist
| 27.636364 | 68 | 0.649671 |