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c17cf7c6c8d62937b059636d643d69a97534ccb1 | 2,111 | py | Python | backend/proxy/api.py | LukasPietzschmann/FitnessApp | d47858aff9b5a70d7664c29c766d06c6cccb6b09 | [
"MIT"
] | null | null | null | backend/proxy/api.py | LukasPietzschmann/FitnessApp | d47858aff9b5a70d7664c29c766d06c6cccb6b09 | [
"MIT"
] | null | null | null | backend/proxy/api.py | LukasPietzschmann/FitnessApp | d47858aff9b5a70d7664c29c766d06c6cccb6b09 | [
"MIT"
] | null | null | null | '''
Authors: Lukas Pietzschmann, Johannes Schenker, Vincent Ugrai
'''
# FIXME Behebe mglichen fehler mit Flask:
# https://github.com/flask-restful/flask-restful/pull/913
# import flask.scaffold
# flask.helpers._endpoint_from_view_func = flask.scaffold._endpoint_from_view_funcfrom flask import Flask, request, make_resp... | 37.035088 | 129 | 0.730459 |
c17d78b310f5a4a664ac432ca977fbcf3adff1f9 | 603 | py | Python | ambientlight/__main__.py | ArnauP/responsive-ambientlight | eafecd96ee0463216751009dc989170a8363305f | [
"MIT"
] | null | null | null | ambientlight/__main__.py | ArnauP/responsive-ambientlight | eafecd96ee0463216751009dc989170a8363305f | [
"MIT"
] | null | null | null | ambientlight/__main__.py | ArnauP/responsive-ambientlight | eafecd96ee0463216751009dc989170a8363305f | [
"MIT"
] | null | null | null | from PyQt5.QtWidgets import QApplication
from PyQt5.QtGui import QIcon, QFont
from .controllers.simulation_controller import SimulationController
from .controllers.main_controller import MainController
from .utils import utils
if __name__ == "__main__":
main()
| 27.409091 | 89 | 0.752902 |
c17e0a87a57b4075606e8458be33331f6c80204c | 1,950 | py | Python | autobot/config_loader.py | fotini-pan/autobot | 7b0f01d7448300e1c2283ffc8973b65099948183 | [
"MIT"
] | null | null | null | autobot/config_loader.py | fotini-pan/autobot | 7b0f01d7448300e1c2283ffc8973b65099948183 | [
"MIT"
] | 5 | 2019-07-19T07:08:04.000Z | 2019-08-14T06:50:19.000Z | autobot/config_loader.py | fotini-pan/autobot | 7b0f01d7448300e1c2283ffc8973b65099948183 | [
"MIT"
] | 2 | 2019-07-23T08:11:19.000Z | 2019-07-23T09:30:29.000Z | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2019 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Performs project's configuration loading."""
import os
from configparser import C... | 29.104478 | 88 | 0.638974 |
c17ed9f679f4b53b4fd797d7dc673aecce1a3af1 | 1,164 | py | Python | jupyter_notebooks/3_Controls/2_IntroductionToVehicleControl/plotting.py | miker2/FCND-udacity | 35d8248b3bb17a04279b65b332f0623b870427a9 | [
"MIT"
] | 1 | 2021-12-14T09:34:36.000Z | 2021-12-14T09:34:36.000Z | jupyter_notebooks/3_Controls/2_IntroductionToVehicleControl/plotting.py | miker2/FCND-udacity | 35d8248b3bb17a04279b65b332f0623b870427a9 | [
"MIT"
] | null | null | null | jupyter_notebooks/3_Controls/2_IntroductionToVehicleControl/plotting.py | miker2/FCND-udacity | 35d8248b3bb17a04279b65b332f0623b870427a9 | [
"MIT"
] | 1 | 2018-10-26T04:06:23.000Z | 2018-10-26T04:06:23.000Z | from matplotlib import pyplot as plt
| 33.257143 | 74 | 0.626289 |
c1822c51f7cba2b85e6570229aa263ca2401f9e6 | 555 | py | Python | torchrs/datasets/whu_rs19.py | isaaccorley/torchrs | bb27a29e344741f8dda504ac296af6d03a20e7df | [
"MIT"
] | 146 | 2021-07-23T03:56:22.000Z | 2022-03-21T03:25:54.000Z | torchrs/datasets/whu_rs19.py | isaaccorley/torchrs | bb27a29e344741f8dda504ac296af6d03a20e7df | [
"MIT"
] | 6 | 2021-07-26T13:18:59.000Z | 2022-03-14T11:05:26.000Z | torchrs/datasets/whu_rs19.py | isaaccorley/torchrs | bb27a29e344741f8dda504ac296af6d03a20e7df | [
"MIT"
] | 21 | 2021-07-27T06:14:58.000Z | 2022-02-17T01:57:27.000Z | import torchvision.transforms as T
from torchvision.datasets import ImageFolder
| 29.210526 | 108 | 0.657658 |
c18236f0339d9584977a7a7bdbc40860c18a4426 | 2,169 | py | Python | dev/example/eg_plotly_set_init_range.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | dev/example/eg_plotly_set_init_range.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | dev/example/eg_plotly_set_init_range.py | StefanHeng/test_ECG-Signal-Viewer | 4fc1849aa5d8ff9bf18d3662bc405d7f20663b64 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import plotly.graph_objs as go
# import plotly.plotly as py
dates = pd.date_range('01-Jan-2010', pd.datetime.now().date(), freq='D')
df = pd.DataFrame(100 + np.random.randn(dates.size).cumsum(), dates, columns=['AAPL'])
trace = go.Scatter(x=df.index, y=df.AAPL)
data = [trace]
l... | 28.168831 | 86 | 0.42923 |
c182773eb6111dd9810c185055f3d7d4a1b7f4eb | 2,793 | py | Python | example/servers/example.py | remy/next-http | 61c4d3139178f375e61d703671c1a7533725b8c2 | [
"MIT"
] | 14 | 2021-04-09T18:45:38.000Z | 2022-02-27T15:58:52.000Z | example/servers/example.py | remy/next-http | 61c4d3139178f375e61d703671c1a7533725b8c2 | [
"MIT"
] | 2 | 2021-05-19T18:44:15.000Z | 2022-02-27T16:37:09.000Z | example/servers/example.py | remy/next-httpbank | 61c4d3139178f375e61d703671c1a7533725b8c2 | [
"MIT"
] | 3 | 2021-04-11T23:56:32.000Z | 2022-02-27T15:49:17.000Z | # Python 3 server example
from http.server import BaseHTTPRequestHandler, HTTPServer
import sys
import os.path
import socket
import base64
hostName = socket.gethostbyname(socket.gethostname())
serverPort = 8080
reply = b"\x12\01Hi there - from the Python server!\x12\x00\x80"
if __name__ == "__main__":
webSer... | 29.4 | 126 | 0.446115 |
c184b59a4d7c701ab5051885c9d01ad5ca81b129 | 7,717 | py | Python | tests/conftest.py | ranhorev/pysmartthings | 23e3c360cbcaf460258b779a268d0d07f12ad279 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | ranhorev/pysmartthings | 23e3c360cbcaf460258b779a268d0d07f12ad279 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | ranhorev/pysmartthings | 23e3c360cbcaf460258b779a268d0d07f12ad279 | [
"Apache-2.0"
] | null | null | null | """Define test configuration."""
import glob
import re
import pytest
from pysmartthings.api import (
API_APP,
API_APP_OAUTH,
API_APP_OAUTH_GENERATE,
API_APP_SETTINGS,
API_APPS,
API_BASE,
API_DEVICE,
API_DEVICE_COMMAND,
API_DEVICE_HEALTH,
API_DEVICE_STATUS,
... | 33.406926 | 88 | 0.674096 |
c1863719bbd3bcab05d84843ec033e9c24171023 | 11,440 | py | Python | src/preprocessing.py | fpaskali/trus-segmentation | 2ba3cc26e1f420997db4d1887ecc4c1f7c041e46 | [
"MIT"
] | 3 | 2021-07-13T20:41:27.000Z | 2021-09-23T03:07:57.000Z | src/preprocessing.py | fpaskali/trus-segmentation | 2ba3cc26e1f420997db4d1887ecc4c1f7c041e46 | [
"MIT"
] | null | null | null | src/preprocessing.py | fpaskali/trus-segmentation | 2ba3cc26e1f420997db4d1887ecc4c1f7c041e46 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 23 15:42:17 2019
@author: paskali
"""
import os, nrrd, json, argparse
import numpy as np
from scipy import ndimage
if __name__ == '__main__':
main() | 33.846154 | 133 | 0.526573 |
c1884982fe78f2265761835377ab580fa3e212e7 | 1,087 | py | Python | src/turtlebot_apps-indigo/turtlebot_actions/scripts/test_fiducial.py | mowtian/Projektarbeit | 43d575f6cf06690e869da4f995ed271fe4088f69 | [
"MIT"
] | 59 | 2020-08-03T04:03:04.000Z | 2022-03-29T07:25:23.000Z | src/turtlebot_apps-indigo/turtlebot_actions/scripts/test_fiducial.py | mowtian/Projektarbeit | 43d575f6cf06690e869da4f995ed271fe4088f69 | [
"MIT"
] | 18 | 2015-01-12T19:17:18.000Z | 2020-03-15T14:08:32.000Z | src/turtlebot_apps-indigo/turtlebot_actions/scripts/test_fiducial.py | mowtian/Projektarbeit | 43d575f6cf06690e869da4f995ed271fe4088f69 | [
"MIT"
] | 26 | 2015-03-21T18:06:10.000Z | 2021-04-20T20:41:06.000Z | #!/usr/bin/env python
import roslib
roslib.load_manifest('turtlebot_actions')
import rospy
import os
import sys
import time
from turtlebot_actions.msg import *
from actionlib_msgs.msg import *
import actionlib
if __name__ == "__main__":
main()
| 24.704545 | 119 | 0.762649 |
c18bee08b90a7626e75143abd8d81aabbb6a5a28 | 6,077 | py | Python | cube/providers/fluxcom.py | CAB-LAB/cube-config | a6b8ebdf76344841d3204298c0e4782a78e4f282 | [
"MIT"
] | 4 | 2018-08-07T13:15:45.000Z | 2021-03-23T17:14:54.000Z | cube/providers/fluxcom.py | CAB-LAB/cube-config | a6b8ebdf76344841d3204298c0e4782a78e4f282 | [
"MIT"
] | 1 | 2019-01-11T09:10:42.000Z | 2019-01-11T09:10:42.000Z | cube/providers/fluxcom.py | CAB-LAB/cube-config | a6b8ebdf76344841d3204298c0e4782a78e4f282 | [
"MIT"
] | 1 | 2018-10-11T15:08:24.000Z | 2018-10-11T15:08:24.000Z | import os
from datetime import timedelta
import numpy
from esdl.cube_provider import NetCDFCubeSourceProvider
from dateutil.relativedelta import relativedelta
from netCDF4 import num2date
all_vars_descr = {'GPPall': {
'gross_primary_productivity': {
'source_name': 'GPPall',
'data_type': numpy.floa... | 47.476563 | 116 | 0.5766 |
c18d893bcaf1aa2c9ed8f540980d7bca6ade7aa8 | 2,391 | py | Python | dicomtrolley/core.py | michelkok/dicomtrolley | e20def0fc6f3ee132368a168e07ed3c17c5431fe | [
"Apache-2.0"
] | null | null | null | dicomtrolley/core.py | michelkok/dicomtrolley | e20def0fc6f3ee132368a168e07ed3c17c5431fe | [
"Apache-2.0"
] | null | null | null | dicomtrolley/core.py | michelkok/dicomtrolley | e20def0fc6f3ee132368a168e07ed3c17c5431fe | [
"Apache-2.0"
] | null | null | null | """Provides common base classes that allow different modules to talk to each other."""
from itertools import chain
from typing import Sequence
from pydantic.main import BaseModel
from pydicom.dataset import Dataset
from dicomtrolley.exceptions import DICOMTrolleyException
Instance.update_forward_refs() # enab... | 27.170455 | 86 | 0.66123 |
c18e05b054dc993ef3dcf4a3fdfe2bf5ac02fbe1 | 249 | py | Python | examples/tutorial/lcu_events.py | TheodorStraube/lcu-driver | 892e5695807a0ad27afa411b103a99fd64397f87 | [
"MIT"
] | 57 | 2019-06-07T09:35:00.000Z | 2022-03-09T06:31:47.000Z | examples/tutorial/lcu_events.py | TheodorStraube/lcu-driver | 892e5695807a0ad27afa411b103a99fd64397f87 | [
"MIT"
] | 11 | 2020-10-31T02:42:59.000Z | 2022-03-18T02:46:33.000Z | examples/tutorial/lcu_events.py | TheodorStraube/lcu-driver | 892e5695807a0ad27afa411b103a99fd64397f87 | [
"MIT"
] | 11 | 2021-01-07T19:09:09.000Z | 2022-03-20T06:54:06.000Z | from lcu_driver import Connector
connector = Connector()
connector.start()
| 15.5625 | 41 | 0.742972 |
c192c478bf3756ea12e97caa54618ede1cc8beb4 | 1,436 | py | Python | data/english_tweets/preprocess_tweets.py | dinarosv/fasttext-model | 2beb10cb91436993810762906700e5c2f987500c | [
"MIT"
] | null | null | null | data/english_tweets/preprocess_tweets.py | dinarosv/fasttext-model | 2beb10cb91436993810762906700e5c2f987500c | [
"MIT"
] | null | null | null | data/english_tweets/preprocess_tweets.py | dinarosv/fasttext-model | 2beb10cb91436993810762906700e5c2f987500c | [
"MIT"
] | null | null | null | import csv
import re
import string
if __name__ == "__main__":
pos = 2363
neg = 2363
with open('Tweets.csv', mode='r') as csv_file:
with open('even_dataset.txt', "w") as train_file:
csv_reader = csv.DictReader(csv_file)
line_count = 0
for row in csv_reader:
... | 35.02439 | 107 | 0.474234 |
c19879ad79651dab2e29e6eb5d7cb2748c0fe7b3 | 2,548 | py | Python | src/awsCluster/chipSeq/ChipPipelineManager.py | AspirinCode/jupyter-genomics | d45526fab3de8fcc3d9fef005d4e39368ff3dfdc | [
"MIT"
] | 2 | 2019-01-04T08:17:27.000Z | 2021-04-10T02:59:35.000Z | src/cirrus_ngs/deprecated/chipSeq/ChipPipelineManager.py | miko-798/cirrus-ngs | 2c005f0fe29e298652ed2164e08ada75e908229b | [
"MIT"
] | null | null | null | src/cirrus_ngs/deprecated/chipSeq/ChipPipelineManager.py | miko-798/cirrus-ngs | 2c005f0fe29e298652ed2164e08ada75e908229b | [
"MIT"
] | 2 | 2021-09-10T02:57:51.000Z | 2021-09-21T00:16:56.000Z | __author__ = 'Guorong Xu<g1xu@ucsd.edu>'
import os
import YamlFileMaker
from util import DesignFileLoader
from cfnCluster import ConnectionManager
workspace = "/shared/workspace/ChiPSeqPipeline"
data_dir = "/shared/workspace/data_archive/ChiPSeq"
## run all analysis from download, alignment, counting and differenti... | 41.770492 | 133 | 0.742936 |
c19902b6f937ab309d593d0476286b218147fdf5 | 1,187 | py | Python | tests/common_fixtures.py | KRunchPL/script_args_parser | 6d5b82c848735b599d487a6623f01e20bfebdd1a | [
"Apache-2.0"
] | null | null | null | tests/common_fixtures.py | KRunchPL/script_args_parser | 6d5b82c848735b599d487a6623f01e20bfebdd1a | [
"Apache-2.0"
] | null | null | null | tests/common_fixtures.py | KRunchPL/script_args_parser | 6d5b82c848735b599d487a6623f01e20bfebdd1a | [
"Apache-2.0"
] | 1 | 2021-12-16T08:31:41.000Z | 2021-12-16T08:31:41.000Z | """
Provides fixtures common for different test modules.
"""
import os
from collections.abc import Generator
import pytest
from script_args_parser.arguments import Argument
| 28.95122 | 109 | 0.750632 |
c199c98ff5160fe020b451c8358768f938abf77c | 2,213 | py | Python | supermamas/areas/service.py | oasalonen/supermamas | 3ab2b2370de903cea614ea9dfa10ce1c0504a715 | [
"Apache-2.0"
] | null | null | null | supermamas/areas/service.py | oasalonen/supermamas | 3ab2b2370de903cea614ea9dfa10ce1c0504a715 | [
"Apache-2.0"
] | null | null | null | supermamas/areas/service.py | oasalonen/supermamas | 3ab2b2370de903cea614ea9dfa10ce1c0504a715 | [
"Apache-2.0"
] | null | null | null | from flask_babel import gettext
from dateutil import rrule, parser
from datetime import datetime, date, timedelta
from supermamas.areas.districts import District
from supermamas.areas.cities import City | 30.736111 | 74 | 0.66516 |
c19a7b56de4de890b7430283340bc504ae5d4af8 | 2,969 | py | Python | gwlfe/MultiUse_Fxns/Erosion/ErosSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | null | null | null | gwlfe/MultiUse_Fxns/Erosion/ErosSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 6 | 2018-07-24T22:46:28.000Z | 2018-07-29T19:13:09.000Z | gwlfe/MultiUse_Fxns/Erosion/ErosSum.py | mudkipmaster/gwlf-e | 9e058445537dd32d1916f76c4b73ca64261771cd | [
"Apache-2.0"
] | 1 | 2018-07-24T18:22:01.000Z | 2018-07-24T18:22:01.000Z | from numpy import sum
from numpy import zeros
from gwlfe.Memoization import memoize
from gwlfe.MultiUse_Fxns.Erosion.Erosion_1 import Erosion_1
from gwlfe.MultiUse_Fxns.Erosion.Erosion_1 import Erosion_1_f
| 63.170213 | 118 | 0.630852 |
c19ed6615f84f7912d55685bdf60f361e59dc517 | 318 | py | Python | data-science/exercicios/livro-introducao-a-programacao-com-python/capitulo-2/exercicio2-6.py | joaovictor-loureiro/data-science | 21ad240e1db94d614e54fcb3fbf6ef74a78af9d8 | [
"MIT"
] | null | null | null | data-science/exercicios/livro-introducao-a-programacao-com-python/capitulo-2/exercicio2-6.py | joaovictor-loureiro/data-science | 21ad240e1db94d614e54fcb3fbf6ef74a78af9d8 | [
"MIT"
] | null | null | null | data-science/exercicios/livro-introducao-a-programacao-com-python/capitulo-2/exercicio2-6.py | joaovictor-loureiro/data-science | 21ad240e1db94d614e54fcb3fbf6ef74a78af9d8 | [
"MIT"
] | null | null | null | # Exerccio 2.6 - Modifique o programa da listagem 2.11, de forma que ele calcule um
# aumento de 15% para um salrio de R$ 750
salario = 750.00
taxa_aumento = 0.15
aumento = salario * taxa_aumento
novo_salario = salario + aumento
print('\nSlario de R$750.00 + aumento de 15' + '% = ' + 'R$%.2f\n' % (novo_salario)) | 35.333333 | 85 | 0.694969 |
c1a090099134b68fb76ca41e7d96a09d8f2db91e | 1,117 | py | Python | licensed/Docker-x86_64/build_scripts/set_sparknlp_env.py | DevinTDHa/spark-nlp-starter-scripts | b04c5a185d3e56ecc36aa420b4a8b78e62ee43ac | [
"Apache-2.0"
] | 1 | 2021-06-21T04:35:46.000Z | 2021-06-21T04:35:46.000Z | licensed/Docker-x86_64/build_scripts/set_sparknlp_env.py | DevinTDHa/spark-nlp-starter-scripts | b04c5a185d3e56ecc36aa420b4a8b78e62ee43ac | [
"Apache-2.0"
] | 3 | 2021-06-11T15:05:51.000Z | 2021-06-24T17:25:06.000Z | licensed/Docker-x86_64/build_scripts/set_sparknlp_env.py | hatrungduc/spark-nlp-starter-scripts | b04c5a185d3e56ecc36aa420b4a8b78e62ee43ac | [
"Apache-2.0"
] | null | null | null | import json
import os
import re
import os.path
sparknlp_versions = {"PUBLIC_VERSION": "3.1.0"}
WORKDIR = "/build_scripts"
with open(WORKDIR + "/spark_nlp_for_healthcare.json", "r") as f:
sparknlp_versions.update(json.load(f).items())
with open(WORKDIR + "/spark_ocr.json", "r") as f:
ocr_version_pattern = re... | 33.848485 | 74 | 0.61504 |
c1a3566abe8de6e2ad548a0edfaab84277307621 | 292 | py | Python | application/flask_math/calculation/Expand.py | kouki-0926/Flask-Math | 29787e8a5f6e5dc26cf1b8aff7e74dcd597ea9a9 | [
"MIT"
] | null | null | null | application/flask_math/calculation/Expand.py | kouki-0926/Flask-Math | 29787e8a5f6e5dc26cf1b8aff7e74dcd597ea9a9 | [
"MIT"
] | 2 | 2020-04-16T17:15:10.000Z | 2020-04-17T17:26:38.000Z | application/flask_math/calculation/Expand.py | kouki-0926/Flask-Math | 29787e8a5f6e5dc26cf1b8aff7e74dcd597ea9a9 | [
"MIT"
] | null | null | null | from sympy import expand
from flask import flash
from flask_math.calculation.common.STR import LATEX
| 20.857143 | 51 | 0.64726 |
c1a365299df3be7e6313ae116f2750cf6ff8c29d | 1,234 | py | Python | redispypractice/test_string.py | youaresherlock/flaskRedisNewsApp | 4745ffac028141b0c1ce6e93afdf45663a53c8e3 | [
"Apache-2.0"
] | null | null | null | redispypractice/test_string.py | youaresherlock/flaskRedisNewsApp | 4745ffac028141b0c1ce6e93afdf45663a53c8e3 | [
"Apache-2.0"
] | null | null | null | redispypractice/test_string.py | youaresherlock/flaskRedisNewsApp | 4745ffac028141b0c1ce6e93afdf45663a53c8e3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Clarence
# @Date: 2018-08-11 17:24:59
# @Last Modified by: Clarence
# @Last Modified time: 2018-08-12 01:16:19
import redis
if __name__ == '__main__':
main() | 18.984615 | 69 | 0.621556 |
c1a426e50864a4928ceb41aa173c50deae44ea0a | 27,877 | py | Python | ML-based Predictive Models/Intention/ML_BinaryClass-Intention.py | erfpak7/DeepTake | 6a3c5646654630d344d8b70d65bf5e535aa07af5 | [
"MIT"
] | 4 | 2021-02-03T03:47:35.000Z | 2021-07-28T12:19:02.000Z | ML-based Predictive Models/Intention/ML_BinaryClass-Intention.py | erfpak7/DeepTake | 6a3c5646654630d344d8b70d65bf5e535aa07af5 | [
"MIT"
] | 1 | 2022-02-22T03:27:00.000Z | 2022-02-22T03:27:00.000Z | ML-based Predictive Models/Intention/ML_BinaryClass-Intention.py | erfpak7/DeepTake | 6a3c5646654630d344d8b70d65bf5e535aa07af5 | [
"MIT"
] | 1 | 2021-11-27T13:54:10.000Z | 2021-11-27T13:54:10.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 15 21:56:08 2020
@author: erfan pakdamanian
"""
# STEP1----------------- # Importing the libraries------------
#-------------------------------------------------------------
import os
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
i... | 38.880056 | 165 | 0.619041 |
c1a563fd1d3a89491d5575fd36cee92bb7b69f8b | 105 | py | Python | core-python-functions-and-functional-programming/closures/__init__.py | hassonor/core-python | 92672aa72c1474061df5247a2dd4dfd9fab1642a | [
"MIT"
] | 1 | 2022-03-09T20:58:33.000Z | 2022-03-09T20:58:33.000Z | core-python-functions-and-functional-programming/closures/__init__.py | hassonor/core-python | 92672aa72c1474061df5247a2dd4dfd9fab1642a | [
"MIT"
] | null | null | null | core-python-functions-and-functional-programming/closures/__init__.py | hassonor/core-python | 92672aa72c1474061df5247a2dd4dfd9fab1642a | [
"MIT"
] | null | null | null | """
def
-> Used to define new functions
-> Binds a function object to a name
-> Executed at runtime
"""
| 13.125 | 36 | 0.67619 |
c1a7f8da12b92acb46b3fd0169292132804ef097 | 700 | py | Python | slackforms/conf.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 1 | 2019-06-20T00:11:58.000Z | 2019-06-20T00:11:58.000Z | slackforms/conf.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 3 | 2020-02-11T23:46:14.000Z | 2021-06-10T21:10:37.000Z | slackforms/conf.py | Albatrous/django-slack-forms | baee37942085bf2f9e35beb9a4a4aa767b319b35 | [
"MIT"
] | 3 | 2019-12-13T06:53:18.000Z | 2021-06-04T07:12:56.000Z | """
Use this file to configure pluggable app settings and resolve defaults
with any overrides set in project settings.
"""
from django.conf import settings as project_settings
Settings.SECRET_KEY = getattr(
project_settings, "SLACKFORMS_SECRET_KEY", "a-bad-secret-key"
)
Settings.SLACK_VERIFICATION_TOKEN = geta... | 21.875 | 72 | 0.774286 |
c1a8a733880fd472a1bd5dcd7ca9c42d18cdec3f | 2,432 | py | Python | books/models.py | TareqMonwer/reading-track | dfa1e922703a1fc6d2fa65bc3449dab54c49074a | [
"bzip2-1.0.6"
] | 1 | 2020-11-01T22:02:43.000Z | 2020-11-01T22:02:43.000Z | books/models.py | TareqMonwer/reading-track | dfa1e922703a1fc6d2fa65bc3449dab54c49074a | [
"bzip2-1.0.6"
] | 7 | 2020-06-05T20:34:48.000Z | 2022-03-12T00:16:02.000Z | books/models.py | TareqMonwer/reading-track | dfa1e922703a1fc6d2fa65bc3449dab54c49074a | [
"bzip2-1.0.6"
] | null | null | null | import datetime
from django.db import models
from django.utils import timezone
| 28.952381 | 72 | 0.588405 |
c1a8f725e5600732529eb296d0e4171f6a5ca5f8 | 4,268 | py | Python | mbrl/algorithms/model_train.py | cvoelcker/mbrl-lib | 6e0261d36b359721e0543a42e862da9a15cc94bb | [
"MIT"
] | null | null | null | mbrl/algorithms/model_train.py | cvoelcker/mbrl-lib | 6e0261d36b359721e0543a42e862da9a15cc94bb | [
"MIT"
] | null | null | null | mbrl/algorithms/model_train.py | cvoelcker/mbrl-lib | 6e0261d36b359721e0543a42e862da9a15cc94bb | [
"MIT"
] | null | null | null | # This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# @author: Claas Voelcker
import os
from typing import Dict, Optional, Tuple, cast
import gym
import hydra.utils
from mbrl.env.offline_data import load_dataset_and_env
import numpy as np
import ... | 32.333333 | 132 | 0.661434 |
c1aaa99eb6efe9146c94f8690a9165e4db1e6d6d | 1,645 | py | Python | Software/jetson_racer/scripts/joint_state.py | mounteverset/jetracer_ros | a84bd7cd81839a48bacfb8680f0aa6a4c797608d | [
"BSD-3-Clause"
] | null | null | null | Software/jetson_racer/scripts/joint_state.py | mounteverset/jetracer_ros | a84bd7cd81839a48bacfb8680f0aa6a4c797608d | [
"BSD-3-Clause"
] | null | null | null | Software/jetson_racer/scripts/joint_state.py | mounteverset/jetracer_ros | a84bd7cd81839a48bacfb8680f0aa6a4c797608d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import rospy
from sensor_msgs.msg import JointState
from std_msgs.msg import Header, Float32
from geometry_msgs.msg import Twist, TwistStamped
from nav_msgs.msg import Odometry
import math
rear_vel = 0
front_rot = 0
if __name__ == '__main__':
try:
print("Running joint_state.py.... | 24.924242 | 122 | 0.697264 |
c1b261ae3aa691ad62e1f61ac7d119d6cc816da8 | 1,525 | py | Python | lap_tracker/__init__.py | glyg/lap_tracker | 16409d8135c6e5e2b5bc42c866530a98e25361ef | [
"BSD-3-Clause"
] | 6 | 2019-09-04T04:54:59.000Z | 2021-07-15T20:44:23.000Z | lap_tracker/__init__.py | glyg/lap_tracker | 16409d8135c6e5e2b5bc42c866530a98e25361ef | [
"BSD-3-Clause"
] | null | null | null | lap_tracker/__init__.py | glyg/lap_tracker | 16409d8135c6e5e2b5bc42c866530a98e25361ef | [
"BSD-3-Clause"
] | 1 | 2021-07-15T20:44:29.000Z | 2021-07-15T20:44:29.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
__version__ = "0.1"
from .lap_tracking import LAPTracker
from .tester import *
import os
import logging
from .utils.color_system import color
... | 25 | 73 | 0.669508 |
c1b3de72204768f876d20194d771ef1cc3b6869e | 2,698 | py | Python | dashboard/views/containers.py | alefeans/docker_dashboard | f6f73a066fd2b97a1ad7682f3d8d2cd2436cd62c | [
"MIT"
] | 3 | 2019-07-23T13:53:45.000Z | 2019-08-08T12:43:45.000Z | dashboard/views/containers.py | alefeans/docker_dashboard | f6f73a066fd2b97a1ad7682f3d8d2cd2436cd62c | [
"MIT"
] | 4 | 2020-02-12T01:03:09.000Z | 2022-02-10T12:39:16.000Z | dashboard/views/containers.py | alefeans/docker_dashboard | f6f73a066fd2b97a1ad7682f3d8d2cd2436cd62c | [
"MIT"
] | 3 | 2020-12-22T09:38:46.000Z | 2022-03-29T08:11:38.000Z | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from dashboard.helpers import (list_container,
start_container,
stop_container,
... | 29.326087 | 89 | 0.59785 |
c1b507da3a12512e9f8ed92013664dadaa72a1cc | 301 | py | Python | File_Path_Operations/test_file_path.py | JoeyDeRosa/code_katas | 261d0e6edb81b710505196969462024cc33b9bd8 | [
"MIT"
] | null | null | null | File_Path_Operations/test_file_path.py | JoeyDeRosa/code_katas | 261d0e6edb81b710505196969462024cc33b9bd8 | [
"MIT"
] | null | null | null | File_Path_Operations/test_file_path.py | JoeyDeRosa/code_katas | 261d0e6edb81b710505196969462024cc33b9bd8 | [
"MIT"
] | null | null | null | '''Test file for file_path_operations.py.'''
master = FileMaster('/Users/person1/Pictures/house.png')
test.describe('Description Test Cases')
test.assert_equals(master.extension(), 'png')
test.assert_equals(master.filename(), 'house')
test.assert_equals(master.dirpath(), '/Users/person1/Pictures/') | 37.625 | 64 | 0.76412 |
c1b8ad48d19f40004198ad92f67b11b9f59c1b22 | 911 | py | Python | src/error_handlers/error_reference.py | ryanermita/snaaap-tech-exam | 438fd9562ae403ca560641affffd7261cba47d30 | [
"MIT"
] | null | null | null | src/error_handlers/error_reference.py | ryanermita/snaaap-tech-exam | 438fd9562ae403ca560641affffd7261cba47d30 | [
"MIT"
] | null | null | null | src/error_handlers/error_reference.py | ryanermita/snaaap-tech-exam | 438fd9562ae403ca560641affffd7261cba47d30 | [
"MIT"
] | null | null | null | from src.constants.misc import GenericConstants, UserConstants
| 23.973684 | 79 | 0.579583 |
c1ba092ef0219c7daa1beaf53576506f314cf6fa | 495 | py | Python | easy/array/remove_element.py | vladimirf7/leetcode | 83faa201f188bcd0367ea95a252d9166735827cd | [
"MIT"
] | null | null | null | easy/array/remove_element.py | vladimirf7/leetcode | 83faa201f188bcd0367ea95a252d9166735827cd | [
"MIT"
] | null | null | null | easy/array/remove_element.py | vladimirf7/leetcode | 83faa201f188bcd0367ea95a252d9166735827cd | [
"MIT"
] | null | null | null | '''solved, super easy'''
if __name__ == '__main__':
assert Solution().removeElement([3, 2, 2, 3], 3) == 2
assert Solution().removeElement([0,1,2,2,3,0,4,2], 2) == 5 | 24.75 | 62 | 0.460606 |
c1bcf47ff1a29bc7824a69668b401b1d216e863f | 1,659 | py | Python | test/request/test_module.py | power-guard/solargis-py | 42c919fccc6f9abf05441a1ffa75633cff1eab23 | [
"MIT"
] | null | null | null | test/request/test_module.py | power-guard/solargis-py | 42c919fccc6f9abf05441a1ffa75633cff1eab23 | [
"MIT"
] | null | null | null | test/request/test_module.py | power-guard/solargis-py | 42c919fccc6f9abf05441a1ffa75633cff1eab23 | [
"MIT"
] | null | null | null | import unittest
from solargis.request import Module, ModuleType
| 30.163636 | 75 | 0.593128 |
c1bd7570ae660531a9b622ea44923132bf413bfd | 2,671 | py | Python | rawdata/dbpedia.org/utils.py | jrnold/acw_battle_data | 3a6020dbfcbcfc650a268b10a9f155588472432b | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 15 | 2015-02-15T15:51:22.000Z | 2022-02-27T03:12:18.000Z | rawdata/dbpedia.org/utils.py | jrnold/acw_battle_data | 3a6020dbfcbcfc650a268b10a9f155588472432b | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 36 | 2015-08-04T10:19:32.000Z | 2019-07-14T21:25:42.000Z | rawdata/dbpedia.org/utils.py | jrnold/acw_battle_data | 3a6020dbfcbcfc650a268b10a9f155588472432b | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 7 | 2015-02-16T05:49:24.000Z | 2019-06-01T17:22:32.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 29 20:24:18 2014
@author: jrnold
"""
import json
from os import path
import time
import requests
import rdflib
from SPARQLWrapper import SPARQLWrapper, JSON
foaf = rdflib.Namespace("http://xmlns.com/foaf/0.1/")
prov = rdflib.Namespace("http://www.w3.org/ns/prov#")
| 30.352273 | 82 | 0.576937 |
c1bdd9bf8404fb8432d14e96df141e8a2c27f61e | 3,943 | py | Python | mobilenet_v2.py | trex18/cv-models | c2cab949dd8e8a150ebcc96f9cb30c98ccb16a60 | [
"MIT"
] | null | null | null | mobilenet_v2.py | trex18/cv-models | c2cab949dd8e8a150ebcc96f9cb30c98ccb16a60 | [
"MIT"
] | null | null | null | mobilenet_v2.py | trex18/cv-models | c2cab949dd8e8a150ebcc96f9cb30c98ccb16a60 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torchvision
import os
from train import train
from transform import get_transform
# each layer consists of [expansion_ratio, output_channels, repeat_number, stride_of_first_sublayer]
bottleneck_layers_config = [
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2... | 35.845455 | 117 | 0.615775 |
c1c0a5f047717898d90827416ff1e2287a3c101d | 27,052 | py | Python | raposa/langs/gl/stemmer.py | p3sky/PRUEBA1 | 7359e6d2d8b56222b60b638d725c66bbe86b1700 | [
"MIT"
] | 3 | 2017-11-03T09:17:28.000Z | 2019-12-17T11:06:04.000Z | raposa/langs/gl/stemmer.py | p3sky/PRUEBA1 | 7359e6d2d8b56222b60b638d725c66bbe86b1700 | [
"MIT"
] | 11 | 2017-09-13T10:13:46.000Z | 2020-12-09T03:03:16.000Z | raposa/langs/gl/stemmer.py | xurxodiz/raposa | ba30546a796b50f181c53a9f8293302bb840c7d2 | [
"MIT"
] | null | null | null | from ...core.stemming.rule import Rule
## PLURALS
PLURALS = [
Rule("ns", 1, "n", ["luns", "furatapns", "furatapons"]),
Rule("s", 3, "n", []),
Rule("es", 3, "n", []),
Rule("es", 1, "o", ["mes", "magalhes"]),
Rule("ais", 2, "al", ["cais","tais", "mais", "pais", "ademais"]),
Rule("is", 2, "al", ... | 57.313559 | 636 | 0.518557 |
c1c2c75fd2e751b22e70beb1bfe8ea861e79916e | 312 | py | Python | FazCO2Monitor/main/views.py | fazerog02/FazCO2Monitor | a7ef0aba2f387ae2087e1d9458ff6156333e9421 | [
"MIT"
] | null | null | null | FazCO2Monitor/main/views.py | fazerog02/FazCO2Monitor | a7ef0aba2f387ae2087e1d9458ff6156333e9421 | [
"MIT"
] | null | null | null | FazCO2Monitor/main/views.py | fazerog02/FazCO2Monitor | a7ef0aba2f387ae2087e1d9458ff6156333e9421 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from api.models import NowPPM
from api.models import PPMData
import datetime
import matplotlib
from matplotlib import pyplot
# Create your views here.
| 18.352941 | 61 | 0.753205 |
c1c3cd09baf59ca8c5c425f56b4f49543aaba750 | 8,248 | py | Python | ecoregions/functions.py | skybristol/wdbots | 9cb1e62d1260687741caa12f187c048fc0980e29 | [
"Unlicense"
] | 1 | 2020-08-27T19:27:47.000Z | 2020-08-27T19:27:47.000Z | ecoregions/functions.py | skybristol/wdbots | 9cb1e62d1260687741caa12f187c048fc0980e29 | [
"Unlicense"
] | null | null | null | ecoregions/functions.py | skybristol/wdbots | 9cb1e62d1260687741caa12f187c048fc0980e29 | [
"Unlicense"
] | null | null | null | import shutil
import urllib.request as request
from contextlib import closing
import zipfile
import os
from pathlib import Path
import copy
import geopandas as gpd
import sys
import pickle
from wikidataintegrator import wdi_helpers, wdi_core
wd_endpoint_url = "https://query.wikidata.org/sparql"
| 32.730159 | 114 | 0.61918 |
c1c672ba1ca3641d57c724a59bcc4874b9a410f1 | 3,345 | py | Python | captcha_train_radam.py | EpicTrol/SCNU-AiMatch | f67512be7aaf8aff1f8cda799d3e843e2f96a33e | [
"Apache-2.0"
] | 1 | 2020-11-27T03:57:25.000Z | 2020-11-27T03:57:25.000Z | captcha_train_radam.py | EpicTrol/SCNU-AiMatch | f67512be7aaf8aff1f8cda799d3e843e2f96a33e | [
"Apache-2.0"
] | null | null | null | captcha_train_radam.py | EpicTrol/SCNU-AiMatch | f67512be7aaf8aff1f8cda799d3e843e2f96a33e | [
"Apache-2.0"
] | null | null | null | # -*- coding: UTF-8 -*-
import torch
import torch.nn as nn
from torch.autograd import Variable
import my_dataset
from captcha_VGG16 import *
from captcha_resnet import ResNet18
from captcha_optimizer import RAdam, GradualWarmupScheduler
from captcha_resnet34 import ResNet34
#
RESUME = True
checkpoint_path = r'./check... | 33.45 | 103 | 0.561136 |
c1c81838104a38ca4b27e2e3297bf5ced64669dd | 5,130 | py | Python | timm/loss/ddag_loss.py | KID-7391/CBA-MR | 032b1674a5a9691eb840685f2461de87c1607826 | [
"Apache-2.0"
] | 1 | 2021-12-02T02:33:06.000Z | 2021-12-02T02:33:06.000Z | timm/loss/ddag_loss.py | KID-7391/CBA-MR | 032b1674a5a9691eb840685f2461de87c1607826 | [
"Apache-2.0"
] | null | null | null | timm/loss/ddag_loss.py | KID-7391/CBA-MR | 032b1674a5a9691eb840685f2461de87c1607826 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from abc import abstractmethod
from .base_loss import BaseLoss
__all__ = ['CR_DDAG', 'PR_DDAG']
if __name__ == '__main__':
num_classes = 5
logit = torch.randn(20, num_classes * (num_classes - 1) // 2).cuda()
target = torch.tensor([0,1,2... | 33.096774 | 114 | 0.520858 |
c1caa2434f33830a78ae22257b52e16fcdd9ebf0 | 352 | py | Python | xerosdk/apis/contacts.py | akshay-codemonk/xero-sdk-py | 7a8ce6dee9914becd8737800e05f33102d780e1c | [
"MIT"
] | null | null | null | xerosdk/apis/contacts.py | akshay-codemonk/xero-sdk-py | 7a8ce6dee9914becd8737800e05f33102d780e1c | [
"MIT"
] | null | null | null | xerosdk/apis/contacts.py | akshay-codemonk/xero-sdk-py | 7a8ce6dee9914becd8737800e05f33102d780e1c | [
"MIT"
] | 1 | 2020-01-06T04:57:44.000Z | 2020-01-06T04:57:44.000Z | """
Xero Contacts API
"""
from .api_base import ApiBase
| 14.666667 | 55 | 0.571023 |
c1d04f40b1dc8ffd40c7e8d1d706e8daa03e9421 | 5,600 | py | Python | tempest/tests/lib/services/identity/v3/test_protocols_client.py | cityofships/tempest | 59aa6811a3664d88b8939603b8e974644fbe21fa | [
"Apache-2.0"
] | 254 | 2015-01-05T19:22:52.000Z | 2022-03-29T08:14:54.000Z | tempest/tests/lib/services/identity/v3/test_protocols_client.py | cityofships/tempest | 59aa6811a3664d88b8939603b8e974644fbe21fa | [
"Apache-2.0"
] | 13 | 2015-03-02T15:53:04.000Z | 2022-02-16T02:28:14.000Z | tempest/tests/lib/services/identity/v3/test_protocols_client.py | cityofships/tempest | 59aa6811a3664d88b8939603b8e974644fbe21fa | [
"Apache-2.0"
] | 367 | 2015-01-07T15:05:39.000Z | 2022-03-04T09:50:35.000Z | # Copyright 2020 Samsung Electronics Co., Ltd
# 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 a... | 39.716312 | 79 | 0.664286 |
c1d5f69e5c3fddafacc15af89b5f0eac9dc39002 | 1,681 | py | Python | src/main/resources/project/wsadmin_scripts/create_jdbc_provider.py | electric-cloud/EC-WebSphere | 72930f119910190f8fc70acbb401319ca0eb0c19 | [
"Apache-2.0"
] | null | null | null | src/main/resources/project/wsadmin_scripts/create_jdbc_provider.py | electric-cloud/EC-WebSphere | 72930f119910190f8fc70acbb401319ca0eb0c19 | [
"Apache-2.0"
] | 12 | 2016-09-23T04:42:55.000Z | 2021-04-09T09:59:29.000Z | src/main/resources/project/wsadmin_scripts/create_jdbc_provider.py | electric-cloud/EC-WebSphere | 72930f119910190f8fc70acbb401319ca0eb0c19 | [
"Apache-2.0"
] | 2 | 2016-06-13T07:24:12.000Z | 2018-05-08T12:49:33.000Z | #
# Copyright 2016 Electric Cloud, 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 agree... | 22.716216 | 75 | 0.697204 |
c1d8f07a8b9b9aaca2cbd2db6ceafab45b5fe90e | 9,018 | py | Python | web/controllers/food/Food.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | 1 | 2020-03-24T04:26:34.000Z | 2020-03-24T04:26:34.000Z | web/controllers/food/Food.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | web/controllers/food/Food.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from flask import Blueprint,request,jsonify,redirect
from common.libs.Helper import ops_render,get_current_date,i_pagination,get_dict_filter_field
from application import app,db
from common.models.food.Food import Food
from common.models.food.FoodCat import FoodCat
from common.models.food.FoodS... | 30.989691 | 114 | 0.594478 |
c1d9705af458878422247b0472d52d627a3fde67 | 6,778 | py | Python | pymc3/distributions/timeseries.py | vpolisky/pymc3 | 87cdd712c86321121c2ed3150764f3d847f5083c | [
"Apache-2.0"
] | 15 | 2016-03-29T17:22:45.000Z | 2021-05-05T06:28:06.000Z | pymc3/distributions/timeseries.py | taku-y/pymc3 | 70e3ca5e137b67aac0390c7e3979ec16842c4aed | [
"Apache-2.0"
] | null | null | null | pymc3/distributions/timeseries.py | taku-y/pymc3 | 70e3ca5e137b67aac0390c7e3979ec16842c4aed | [
"Apache-2.0"
] | 6 | 2016-06-30T08:58:16.000Z | 2019-01-26T16:50:54.000Z | import theano.tensor as tt
from theano import scan
from . import multivariate
from . import continuous
from . import distribution
__all__ = [
'AR1',
'GaussianRandomWalk',
'GARCH11',
'EulerMaruyama',
'MvGaussianRandomWalk',
'MvStudentTRandomWalk'
]
| 28.478992 | 84 | 0.587046 |
c1e3ad9240a0a3f9a3496e583aa1d52905101fd2 | 3,745 | py | Python | breadboard/controller.py | mvshmakov/raspberry-boilerplate | d3bfdf0a8b64024117bd96d522ebe63ed566a037 | [
"WTFPL"
] | null | null | null | breadboard/controller.py | mvshmakov/raspberry-boilerplate | d3bfdf0a8b64024117bd96d522ebe63ed566a037 | [
"WTFPL"
] | null | null | null | breadboard/controller.py | mvshmakov/raspberry-boilerplate | d3bfdf0a8b64024117bd96d522ebe63ed566a037 | [
"WTFPL"
] | null | null | null | #!/usr/bin/python3
from time import sleep
from gpiozero import Button, MotionSensor, LED, LightSensor, DistanceSensor, Servo, MCP3008
if __name__ == '__main__':
breadboard_controller = BreadboardController()
print(f"Auto-polling data: {breadboard_controller.poll_sensors()}")
print(f"Manual-polling data... | 30.696721 | 119 | 0.561549 |
c1e4b25896a66fd72f7fdc21de7b701f62fd3706 | 1,937 | py | Python | google/cloud/monitoring_v3/types/dropped_labels.py | vinbs/python-monitoring | 39b51a2dd4319c3a326bef1c843bb80d3f2ca772 | [
"Apache-2.0"
] | null | null | null | google/cloud/monitoring_v3/types/dropped_labels.py | vinbs/python-monitoring | 39b51a2dd4319c3a326bef1c843bb80d3f2ca772 | [
"Apache-2.0"
] | null | null | null | google/cloud/monitoring_v3/types/dropped_labels.py | vinbs/python-monitoring | 39b51a2dd4319c3a326bef1c843bb80d3f2ca772 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 35.87037 | 74 | 0.738255 |
c1e58799269e2793e4daaf10c8e9427a23618ef2 | 3,802 | py | Python | tests/emmet-core/test_thermo.py | acrutt/emmet | e98100c9932f145a3ad3087ddb7aa9b779d9a191 | [
"BSD-3-Clause-LBNL"
] | 19 | 2018-09-26T17:12:35.000Z | 2022-03-19T03:48:04.000Z | tests/emmet-core/test_thermo.py | acrutt/emmet | e98100c9932f145a3ad3087ddb7aa9b779d9a191 | [
"BSD-3-Clause-LBNL"
] | 273 | 2017-06-15T22:13:07.000Z | 2022-03-29T20:39:55.000Z | tests/emmet-core/test_thermo.py | acrutt/emmet | e98100c9932f145a3ad3087ddb7aa9b779d9a191 | [
"BSD-3-Clause-LBNL"
] | 38 | 2017-06-13T21:50:00.000Z | 2022-03-26T18:31:21.000Z | import pytest
from monty.serialization import MontyDecoder
from monty.serialization import loadfn
from emmet.core.thermo import ThermoDoc
def test_from_entries(entries):
docs, pd = ThermoDoc.from_entries(entries, deprecated=False)
assert len(docs) == len(entries)
assert all([d.energy_type == "Unkn... | 32.775862 | 82 | 0.525776 |
c1e60f56526527c393c9e332bf50e7a6c74919ec | 4,185 | py | Python | information_retrieval/question_processing/question_classification.py | Akash-Pateria/Question-Answering-Bot | 54785e73663ea82b57c1e1ba04c5aa6192707bea | [
"MIT"
] | null | null | null | information_retrieval/question_processing/question_classification.py | Akash-Pateria/Question-Answering-Bot | 54785e73663ea82b57c1e1ba04c5aa6192707bea | [
"MIT"
] | null | null | null | information_retrieval/question_processing/question_classification.py | Akash-Pateria/Question-Answering-Bot | 54785e73663ea82b57c1e1ba04c5aa6192707bea | [
"MIT"
] | 1 | 2020-03-04T06:27:27.000Z | 2020-03-04T06:27:27.000Z | from sklearn.feature_extraction.text import CountVectorizer
from scipy.sparse import hstack
from sklearn.svm import LinearSVC
from practnlptools.tools import Annotator
import cPickle
from fine_class_fullname import read_class
annotator=Annotator()
def get_classes(question):
''' loading the coarse model '''
... | 29.680851 | 97 | 0.708244 |
c1e72056ff903d914f235f5651076e2b0b110b9f | 6,503 | py | Python | monkey/io.py | ShawnFrueh/mecco_renderMonkey | 1b80293c45c320fc1276092691e4798e17675977 | [
"MIT"
] | null | null | null | monkey/io.py | ShawnFrueh/mecco_renderMonkey | 1b80293c45c320fc1276092691e4798e17675977 | [
"MIT"
] | null | null | null | monkey/io.py | ShawnFrueh/mecco_renderMonkey | 1b80293c45c320fc1276092691e4798e17675977 | [
"MIT"
] | null | null | null | # python
import json
import os
import random
import re
import traceback
import modo
from . import util
import yaml
from .defaults import get
from .symbols import *
def yaml_save_dialog():
"""
By Adam O'Hern for Mechanical Color
File dialog requesting YAML file destination.
"""
try:
re... | 27.909871 | 104 | 0.561895 |
c1e8b46513d8a448fc5fad496421de4582c76653 | 3,755 | py | Python | tools/compare_rep.py | Woffee/deformer | 8f5330f3e85599a9c57965a16c3e737f9146fcc7 | [
"MIT"
] | 114 | 2020-05-05T21:33:35.000Z | 2022-03-24T10:30:20.000Z | tools/compare_rep.py | Woffee/deformer | 8f5330f3e85599a9c57965a16c3e737f9146fcc7 | [
"MIT"
] | 10 | 2020-05-19T03:33:26.000Z | 2020-12-15T01:56:20.000Z | tools/compare_rep.py | Woffee/deformer | 8f5330f3e85599a9c57965a16c3e737f9146fcc7 | [
"MIT"
] | 15 | 2020-05-29T09:34:30.000Z | 2022-01-21T01:21:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import os
from collections import defaultdict
import numpy as np
from scipy.spatial import distance
from tqdm import tqdm
np.set_printoptions(threshold=np.inf, suppress=True)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser... | 40.376344 | 97 | 0.656991 |
c1ec9aa5f29f8f82198b4380736615e572823875 | 3,837 | py | Python | forum/markdownext/mdx_auto_linker.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2017-07-14T09:58:07.000Z | 2017-07-14T09:58:07.000Z | forum/markdownext/mdx_auto_linker.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | forum/markdownext/mdx_auto_linker.py | Stackato-Apps/osqa | 728bb43ae913e33769c52f40cadb26721faaf2b2 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | import markdown
import re, socket
TLDS = ('gw', 'gu', 'gt', 'gs', 'gr', 'gq', 'gp', 'gy', 'gg', 'gf', 'ge', 'gd', 'ga', 'edu', 'va', 'gn', 'gl', 'gi',
'gh', 'iq', 'lb', 'lc', 'la', 'tv', 'tw', 'tt', 'arpa', 'lk', 'li', 'lv', 'to', 'lt', 'lr', 'ls', 'th', 'tf',
'su', 'td', 'aspx', 'tc', 'ly', 'do', 'coo... | 34.567568 | 124 | 0.421423 |
c1eccd50c4c0bef0bc236ab007c3bb33cdd0926d | 173 | py | Python | Exercicios/Desafio013.py | victorhugof94/Python | 8b42955634f3ae44bded350ac88396a02b1f6970 | [
"MIT"
] | null | null | null | Exercicios/Desafio013.py | victorhugof94/Python | 8b42955634f3ae44bded350ac88396a02b1f6970 | [
"MIT"
] | null | null | null | Exercicios/Desafio013.py | victorhugof94/Python | 8b42955634f3ae44bded350ac88396a02b1f6970 | [
"MIT"
] | null | null | null | salario = float(input('valor do salario:'))
aumento = salario + (salario* (15/100))
print('voce ganhou um aumento de salario seu salario agora : R${:.2f}'.format(aumento))
| 43.25 | 88 | 0.705202 |
c1ed9b50d6f1d43f6ca9652ad690c32440ddface | 15,088 | py | Python | sdk_samples/scripts/dcgm_example.py | deepio/DCGM | d10273f18fb3d425da752ab6bb7e07af3d18caec | [
"Apache-2.0"
] | 85 | 2021-02-03T19:58:50.000Z | 2022-03-21T08:00:11.000Z | sdk_samples/scripts/dcgm_example.py | deepio/DCGM | d10273f18fb3d425da752ab6bb7e07af3d18caec | [
"Apache-2.0"
] | 19 | 2021-03-19T08:13:58.000Z | 2022-03-17T02:50:41.000Z | sdk_samples/scripts/dcgm_example.py | deepio/DCGM | d10273f18fb3d425da752ab6bb7e07af3d18caec | [
"Apache-2.0"
] | 17 | 2021-02-04T06:47:30.000Z | 2022-03-21T22:14:03.000Z | # Copyright (c) 2021, NVIDIA CORPORATION. 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 appli... | 41.564738 | 136 | 0.657609 |
c1efc24556fc4898f91333e0bbcaa25d91178205 | 3,690 | py | Python | navigation/arena_local_planner/learning_based/arena_local_planner_drl/scripts/deployment/run_agent.py | kilinmao/sarl_star | dde9bb2b690c705a615195f4b570af3ea9dfe05e | [
"MIT"
] | null | null | null | navigation/arena_local_planner/learning_based/arena_local_planner_drl/scripts/deployment/run_agent.py | kilinmao/sarl_star | dde9bb2b690c705a615195f4b570af3ea9dfe05e | [
"MIT"
] | null | null | null | navigation/arena_local_planner/learning_based/arena_local_planner_drl/scripts/deployment/run_agent.py | kilinmao/sarl_star | dde9bb2b690c705a615195f4b570af3ea9dfe05e | [
"MIT"
] | null | null | null | import os
import rospy
import rospkg
import json
import numpy as np
import time
from stable_baselines3 import PPO
from stable_baselines3.common.vec_env import SubprocVecEnv, DummyVecEnv, VecNormalize
from task_generator.task_generator.tasks import get_predefined_task
from arena_navigation.arena_local_planner.learning... | 39.677419 | 174 | 0.655556 |
c1f14be76dcd8f6a9b9359dd399bc9e2b7b2a442 | 4,330 | py | Python | trackers/iou_tracker/mta_track.py | XiaoSanGit/wda_tracker | b68ec0edb9daa6cc495815ba9ca549b36eec0369 | [
"MIT"
] | 24 | 2020-06-23T11:17:42.000Z | 2022-03-29T00:38:09.000Z | trackers/iou_tracker/mta_track.py | XiaoSanGit/wda_tracker | b68ec0edb9daa6cc495815ba9ca549b36eec0369 | [
"MIT"
] | 13 | 2020-07-07T03:59:02.000Z | 2022-03-30T04:28:06.000Z | trackers/iou_tracker/mta_track.py | XiaoSanGit/wda_tracker | b68ec0edb9daa6cc495815ba9ca549b36eec0369 | [
"MIT"
] | 9 | 2021-02-14T07:11:05.000Z | 2021-12-23T12:47:08.000Z |
from dataclasses import dataclass
from iou_tracker import track_iou
from util_iou import load_mot, save_to_csv
from time import time
import os
from multiprocessing.pool import ThreadPool
import pandas as pd
if __name__ == "__main__":
'''
cmt = Config_mta_tracker(
detections_folder="/media/phil... | 36.083333 | 134 | 0.635104 |
c1f165eea9a337191d506249d1901b6f74a81ce2 | 9,124 | py | Python | hmc_inventory.py | power-devops/ansible_hmc_inventory | a0782490ec9786cfad9cd449878e9e26133c34ca | [
"MIT"
] | 1 | 2020-07-17T12:57:03.000Z | 2020-07-17T12:57:03.000Z | hmc_inventory.py | power-devops/ansible_hmc_inventory | a0782490ec9786cfad9cd449878e9e26133c34ca | [
"MIT"
] | 1 | 2020-09-21T20:04:15.000Z | 2020-09-21T20:04:15.000Z | hmc_inventory.py | power-devops/ansible_hmc_inventory | a0782490ec9786cfad9cd449878e9e26133c34ca | [
"MIT"
] | 5 | 2020-07-21T14:43:21.000Z | 2022-01-23T09:44:41.000Z | #!/usr/bin/python3.7
from __future__ import print_function
import argparse
import json
import os
import ssl
import sys
import xml.etree.ElementTree as ET
try:
import requests
except ModuleNotFoundError:
print("requests module is required. Hint: sudo yum -y install python3-requests", file=sys.stderr)
sys.exit(1... | 33.918216 | 120 | 0.656949 |
c1f19ac63d25d3c7a341b5e56efc6a76170e219a | 8,757 | py | Python | Access_Sentinel6MF_find_file_by_cycle_pass.py | podaac/sentinel6 | ea203ebab3fdbbfe2b4c399f7a0f54322af18433 | [
"Apache-2.0"
] | 6 | 2021-03-24T18:20:04.000Z | 2022-03-30T12:10:26.000Z | Access_Sentinel6MF_find_file_by_cycle_pass.py | podaac/sentinel6 | ea203ebab3fdbbfe2b4c399f7a0f54322af18433 | [
"Apache-2.0"
] | null | null | null | Access_Sentinel6MF_find_file_by_cycle_pass.py | podaac/sentinel6 | ea203ebab3fdbbfe2b4c399f7a0f54322af18433 | [
"Apache-2.0"
] | 2 | 2021-03-24T19:19:40.000Z | 2022-01-13T03:49:25.000Z | #!/usr/bin/env python3
# # Access Sentinel-6 MF Data using a script
# This script shows a simple way to maintain a local time series of Sentinel-6 data using the [CMR Search API](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html). It downloads granules the ingested since the previous run to a designated... | 37.909091 | 356 | 0.66838 |
c1f25314101c6772ba72972d1b4fe3550c91083b | 787 | py | Python | variable_heuristic.py | HoSzyk/Map | d22e344cab7b14494f16884f7a4f29f46b752840 | [
"MIT"
] | null | null | null | variable_heuristic.py | HoSzyk/Map | d22e344cab7b14494f16884f7a4f29f46b752840 | [
"MIT"
] | null | null | null | variable_heuristic.py | HoSzyk/Map | d22e344cab7b14494f16884f7a4f29f46b752840 | [
"MIT"
] | null | null | null | from problem import CspProblem
| 29.148148 | 96 | 0.662008 |
c1f374c3be2127bdaeef0e877233321933695462 | 2,837 | py | Python | Latest/venv/Lib/site-packages/pyface/ui/qt4/splash_screen.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-01-09T20:04:31.000Z | 2022-01-09T20:04:31.000Z | Latest/venv/Lib/site-packages/pyface/ui/qt4/splash_screen.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | 1 | 2022-02-15T12:01:57.000Z | 2022-03-24T19:48:47.000Z | Latest/venv/Lib/site-packages/pyface/ui/qt4/splash_screen.py | adamcvj/SatelliteTracker | 49a8f26804422fdad6f330a5548e9f283d84a55d | [
"Apache-2.0"
] | null | null | null | #------------------------------------------------------------------------------
# Copyright (c) 2007, Riverbank Computing Limited
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD license.
# However, when used with the GPL version of PyQt the additional terms described in ... | 31.876404 | 117 | 0.556926 |
c1f478684234a287a64001cf0f99063dadc5f8af | 31 | py | Python | src/api/log/__init__.py | fekblom/critic | a6b60c9053e13d4c878d50531860d7389568626d | [
"Apache-2.0"
] | 216 | 2015-01-05T12:48:10.000Z | 2022-03-08T00:12:23.000Z | src/api/log/__init__.py | fekblom/critic | a6b60c9053e13d4c878d50531860d7389568626d | [
"Apache-2.0"
] | 55 | 2015-02-28T12:10:26.000Z | 2020-11-18T17:45:16.000Z | src/api/log/__init__.py | fekblom/critic | a6b60c9053e13d4c878d50531860d7389568626d | [
"Apache-2.0"
] | 34 | 2015-05-02T15:15:10.000Z | 2020-06-15T19:20:37.000Z | import rebase
import partition
| 10.333333 | 16 | 0.870968 |
c1f4bb133035976b48bb331afd3017e6ebbc488d | 1,908 | py | Python | tests/test_utils.py | bccho/pass-glm | 4ad14dd043532419dc413c509672b54d1eb8d516 | [
"MIT"
] | null | null | null | tests/test_utils.py | bccho/pass-glm | 4ad14dd043532419dc413c509672b54d1eb8d516 | [
"MIT"
] | null | null | null | tests/test_utils.py | bccho/pass-glm | 4ad14dd043532419dc413c509672b54d1eb8d516 | [
"MIT"
] | null | null | null | import os
import numpy.random as npr
from numpy.testing import *
import scipy.sparse as sp
from passglm.utils import *
| 29.353846 | 55 | 0.62631 |
c1f86fc5762388dd48540888bcee3acf64dc619f | 2,807 | py | Python | book_catalog/models.py | shayweitzman/MyAutoBook | b5451e6d2db07c839b61802f94b57824a6b17da8 | [
"Unlicense"
] | 1 | 2022-01-24T15:49:32.000Z | 2022-01-24T15:49:32.000Z | book_catalog/models.py | shayweitzman/MyAutoBook | b5451e6d2db07c839b61802f94b57824a6b17da8 | [
"Unlicense"
] | null | null | null | book_catalog/models.py | shayweitzman/MyAutoBook | b5451e6d2db07c839b61802f94b57824a6b17da8 | [
"Unlicense"
] | 2 | 2021-01-03T15:19:05.000Z | 2021-01-14T08:14:12.000Z | from django.db import models
from django.contrib.auth.models import User | 47.576271 | 104 | 0.666548 |
c1f9f4785ed1a27b6e505d73b0f114a13d0e7bf1 | 5,592 | py | Python | backtest/marketdata.py | Christakou/backtest | fa97f50b36a1d56fe667250169ed50a8d9121c3c | [
"MIT"
] | null | null | null | backtest/marketdata.py | Christakou/backtest | fa97f50b36a1d56fe667250169ed50a8d9121c3c | [
"MIT"
] | null | null | null | backtest/marketdata.py | Christakou/backtest | fa97f50b36a1d56fe667250169ed50a8d9121c3c | [
"MIT"
] | null | null | null | from functools import cache
import backtest.backtest_config as backtest_config
import requests
import json
import pandas as pd
| 34.518519 | 159 | 0.59603 |
c1fd840d5ecdbc0915ab1f5085161cef7ecf53c7 | 1,257 | py | Python | src/encoded/types/cell_annotation.py | Lattice-Data/encoded | 94bb4f7cb51970523715e0598d84699a28f90861 | [
"MIT"
] | null | null | null | src/encoded/types/cell_annotation.py | Lattice-Data/encoded | 94bb4f7cb51970523715e0598d84699a28f90861 | [
"MIT"
] | 10 | 2020-07-22T20:16:15.000Z | 2021-06-16T19:17:44.000Z | src/encoded/types/cell_annotation.py | Lattice-Data/encoded | 94bb4f7cb51970523715e0598d84699a28f90861 | [
"MIT"
] | null | null | null | from snovault import (
calculated_property,
collection,
load_schema,
)
from .base import (
Item,
)
| 26.1875 | 66 | 0.554495 |
c1fd99dc081e3e0e46f8e173b328ff9442c3aef2 | 68 | py | Python | pufferfish/__init__.py | JohnUrban/pufferfish | 27de965b34e87f775ca52daaf544a108a310e9db | [
"MIT"
] | 1 | 2017-04-03T19:49:47.000Z | 2017-04-03T19:49:47.000Z | squiggler/__init__.py | JohnUrban/squiggler | 3ae5a1d0568d99bf914ce02a576a41f2e121686a | [
"MIT"
] | null | null | null | squiggler/__init__.py | JohnUrban/squiggler | 3ae5a1d0568d99bf914ce02a576a41f2e121686a | [
"MIT"
] | null | null | null | import os
import sys
import scripts
from version import __version__
| 13.6 | 31 | 0.852941 |
c1ff76b36c9dbf86dec877e09eab15874db75e42 | 5,118 | py | Python | tests/test_pango.py | digitalvirtuoso/manim | 3f223d680e3abb37de7f02ef767d604b7bbf95e9 | [
"MIT"
] | 2 | 2020-07-17T19:59:51.000Z | 2020-10-14T16:38:23.000Z | tests/test_pango.py | aliPMPAINT/manim | f04a2e327517ecb7e51151c38a6ff36bc4abf2df | [
"MIT"
] | null | null | null | tests/test_pango.py | aliPMPAINT/manim | f04a2e327517ecb7e51151c38a6ff36bc4abf2df | [
"MIT"
] | null | null | null | """Tests :class:`PangoText` by comparing SVG files created.
"""
import os
import re
import cairocffi
import pangocairocffi
import pangocffi
from manim import START_X, START_Y, PangoText, SVGMobject
RTL_TEXT: str = """
"""
WIDTH: int = 600
HEIGTH: int = 400
folder: str = os.path.abspath(os.path.join("media", "texts... | 36.557143 | 85 | 0.717468 |
c1ff88fad66967ae1ebe1bc58f80ce4b5daedef1 | 2,809 | py | Python | cobra/utils/console_log.py | frankenstien-831/cobra | a2ec3ed1038c9606ed7e6978b5bf88f08fd2fc7f | [
"MIT"
] | 53 | 2019-07-14T07:19:56.000Z | 2022-03-25T06:56:04.000Z | cobra/utils/console_log.py | frankenstien-831/cobra | a2ec3ed1038c9606ed7e6978b5bf88f08fd2fc7f | [
"MIT"
] | 1 | 2019-07-16T17:45:57.000Z | 2019-07-17T22:16:09.000Z | cobra/utils/console_log.py | frankenstien-831/cobra | a2ec3ed1038c9606ed7e6978b5bf88f08fd2fc7f | [
"MIT"
] | 11 | 2019-07-14T09:26:12.000Z | 2021-12-10T11:23:19.000Z | from colorama import Fore, Style
| 49.280702 | 75 | 0.420434 |
de01884105e225c3e2617dac4fb2a36cf972600c | 2,725 | py | Python | python/ray/serve/tests/test_fastapi.py | jimzers/ray | de7ee75d27919178167cdc377e25441fc1b7a59b | [
"Apache-2.0"
] | null | null | null | python/ray/serve/tests/test_fastapi.py | jimzers/ray | de7ee75d27919178167cdc377e25441fc1b7a59b | [
"Apache-2.0"
] | 40 | 2021-04-10T07:03:55.000Z | 2022-03-12T08:04:04.000Z | python/ray/serve/tests/test_fastapi.py | ttumiel/ray | 63594c537064d5cc47179169df6e6e6defa613d6 | [
"Apache-2.0"
] | null | null | null | from fastapi import FastAPI
import requests
import pytest
import inspect
from ray import serve
from ray.serve.utils import make_fastapi_class_based_view
if __name__ == "__main__":
import sys
sys.exit(pytest.main(["-v", "-s", __file__]))
| 25.231481 | 70 | 0.622018 |
de020992d9c2e895643ea3290d2cf2e6d2c90a9e | 3,907 | py | Python | App/wizard/prefs/software.py | Wizard-collab/wizard | c2ec623fe011626716493c232b895fb0513f68ff | [
"MIT"
] | null | null | null | App/wizard/prefs/software.py | Wizard-collab/wizard | c2ec623fe011626716493c232b895fb0513f68ff | [
"MIT"
] | null | null | null | App/wizard/prefs/software.py | Wizard-collab/wizard | c2ec623fe011626716493c232b895fb0513f68ff | [
"MIT"
] | null | null | null | # coding: utf-8
# Defaults Python modules
import os
from wizard.prefs.site import site
# Wizard prefs modules
from wizard.prefs.user import user
# Wizard tools modules
from wizard.tools import log
from wizard.tools import utility as util
# Wizard variables modules
from wizard.vars import defaults
# Create the main l... | 32.02459 | 94 | 0.646532 |
de025a2bd57c01dfe9a8caf784ef03bb282c675a | 1,919 | py | Python | evaluation/metrics.py | LaudateCorpus1/dm_c19_modelling | 25c0a3c47df4f93991acaf4b5e4d3ab0a6d9b5ab | [
"Apache-2.0"
] | 3 | 2021-07-21T10:05:55.000Z | 2021-09-06T09:28:56.000Z | evaluation/metrics.py | deepmind/c19_modelling | 25c0a3c47df4f93991acaf4b5e4d3ab0a6d9b5ab | [
"Apache-2.0"
] | 1 | 2021-10-05T16:20:25.000Z | 2021-10-05T16:20:25.000Z | evaluation/metrics.py | LaudateCorpus1/dm_c19_modelling | 25c0a3c47df4f93991acaf4b5e4d3ab0a6d9b5ab | [
"Apache-2.0"
] | 2 | 2021-08-04T16:10:28.000Z | 2021-10-05T16:15:25.000Z | # pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. 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/... | 40.829787 | 78 | 0.713913 |
de025c4b340cb55000bf3bafcb10a20043da87e2 | 29 | py | Python | plugins/pelican-jinja2content/__init__.py | mohnjahoney/website_source | edc86a869b90ae604f32e736d9d5ecd918088e6a | [
"MIT"
] | 17 | 2020-07-16T10:46:42.000Z | 2022-02-04T13:33:10.000Z | plugins/pelican-jinja2content/__init__.py | mohnjahoney/website_source | edc86a869b90ae604f32e736d9d5ecd918088e6a | [
"MIT"
] | 197 | 2016-01-01T18:26:21.000Z | 2019-11-14T03:36:56.000Z | plugins/pelican-jinja2content/__init__.py | mohnjahoney/website_source | edc86a869b90ae604f32e736d9d5ecd918088e6a | [
"MIT"
] | 20 | 2019-10-16T20:41:33.000Z | 2021-12-18T22:00:06.000Z | from .jinja2content import *
| 14.5 | 28 | 0.793103 |
de027ed381e27521d180f60848ed257f616a7734 | 3,035 | py | Python | src/eduid_userdb/tests/test_u2f.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/eduid_userdb/tests/test_u2f.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 12 | 2015-08-28T12:05:32.000Z | 2020-06-23T13:31:29.000Z | src/eduid_userdb/tests/test_u2f.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-10-24T06:37:33.000Z | 2016-11-21T11:39:39.000Z | import copy
import datetime
from hashlib import sha256
from unittest import TestCase
import eduid_userdb.element
import eduid_userdb.exceptions
from eduid_userdb.credentials import U2F, CredentialList
__author__ = 'lundberg'
# {'passwords': {
# 'id': password_id,
# 'salt': salt,
# 'source': 'signup',
# '... | 31.28866 | 111 | 0.652059 |
de02cb831c54438434c8f706ebd7db2d34087b11 | 18,301 | py | Python | models/ECAPA_TDNN.py | hiimmuc/Speaker-verification | b63a1821cbc672bbed7e939e85473337766681aa | [
"MIT"
] | 2 | 2021-09-02T08:04:38.000Z | 2021-10-21T02:45:35.000Z | models/ECAPA_TDNN.py | hiimmuc/Speaker-verification | b63a1821cbc672bbed7e939e85473337766681aa | [
"MIT"
] | null | null | null | models/ECAPA_TDNN.py | hiimmuc/Speaker-verification | b63a1821cbc672bbed7e939e85473337766681aa | [
"MIT"
] | null | null | null | import torch # noqa: F401
import torch.nn as nn
import torch.nn.functional as F
from models.ECAPA_utils import Conv1d as _Conv1d
from models.ECAPA_utils import BatchNorm1d as _BatchNorm1d
from utils import PreEmphasis
import torchaudio
def length_to_mask(length, max_len=None, dtype=None, device=None):
""... | 31.607945 | 107 | 0.540408 |
de03666e334ae0858202f9ed124953d31b8a9572 | 249 | py | Python | App/helpers.py | faustotnc/heart-health-interactive | 3101f9972fcbe71b9cdeaed0427ae2b3ee0d5e79 | [
"Apache-2.0"
] | null | null | null | App/helpers.py | faustotnc/heart-health-interactive | 3101f9972fcbe71b9cdeaed0427ae2b3ee0d5e79 | [
"Apache-2.0"
] | null | null | null | App/helpers.py | faustotnc/heart-health-interactive | 3101f9972fcbe71b9cdeaed0427ae2b3ee0d5e79 | [
"Apache-2.0"
] | null | null | null | import streamlit as st
def add_space(size, col=None):
"""
Adds vertical space between two sections.
"""
(col if col else st).markdown(
body=f"<div style='margin-top: {size}px'></div>",
unsafe_allow_html=True
)
| 19.153846 | 57 | 0.606426 |
de061f8ef236113e6114ec0c9c8473a641dfaccf | 2,667 | py | Python | envs/yumi/goal_vec_env.py | pcchenxi/skew-explore | fee27419a6168711eae23bc803875e36afe56438 | [
"MIT"
] | 3 | 2020-08-17T20:20:08.000Z | 2021-05-25T07:44:35.000Z | envs/yumi/goal_vec_env.py | yqj13777866390/skew-explore | fee27419a6168711eae23bc803875e36afe56438 | [
"MIT"
] | null | null | null | envs/yumi/goal_vec_env.py | yqj13777866390/skew-explore | fee27419a6168711eae23bc803875e36afe56438 | [
"MIT"
] | 1 | 2021-01-10T02:07:27.000Z | 2021-01-10T02:07:27.000Z | import numpy as np
from stable_baselines.common.vec_env import DummyVecEnv, SubprocVecEnv
# class GoalSubprocVecEnv(SubprocVecEnv):
# """
# extend the original SubprocVecEnv class with function set_goals for goal proposing
# """
# def set_goals(self, goals):
# for env_idx in range(self.num_envs... | 43.016129 | 89 | 0.672291 |
de08610cedd78e43d431df85365d4dfba4c47907 | 4,193 | py | Python | users/forms.py | amjadcp/bookingLine-grpA-miniProject | f57fc06f85edfb08f9c170757fddbf7b6de6f35a | [
"PostgreSQL",
"Unlicense",
"MIT"
] | null | null | null | users/forms.py | amjadcp/bookingLine-grpA-miniProject | f57fc06f85edfb08f9c170757fddbf7b6de6f35a | [
"PostgreSQL",
"Unlicense",
"MIT"
] | null | null | null | users/forms.py | amjadcp/bookingLine-grpA-miniProject | f57fc06f85edfb08f9c170757fddbf7b6de6f35a | [
"PostgreSQL",
"Unlicense",
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm
from .models import *
| 32.007634 | 91 | 0.463153 |
de09084f829fcd9d74df726b1380639b838d0319 | 541 | py | Python | Web_Development_Python/RealPython/sql/11_sql.py | nitin-cherian/LifeLongLearning | 84084792058358365162c645742c70064a2d5fd6 | [
"MIT"
] | 4 | 2018-01-19T17:15:06.000Z | 2018-01-24T00:06:42.000Z | Web_Development_Python/RealPython/sql/11_sql.py | nitin-cherian/LifeLongLearning | 84084792058358365162c645742c70064a2d5fd6 | [
"MIT"
] | null | null | null | Web_Development_Python/RealPython/sql/11_sql.py | nitin-cherian/LifeLongLearning | 84084792058358365162c645742c70064a2d5fd6 | [
"MIT"
] | null | null | null | # JOINing data from multiple tables
# import sqlite3 library
import sqlite3
with sqlite3.connect("new.db") as connection:
c = connection.cursor()
c.execute("""SELECT DISTINCT population.city, population.population, regions.region
FROM population,regions
WHERE population.c... | 22.541667 | 87 | 0.619224 |
de0919496be2caa61d95bbdc844b22ca197b6f48 | 14,457 | py | Python | examples/ImageRecon/GEOmetrics/train.py | Tarkiyah/kaotlin | 97374f648a53f6532f2348ca3f9ace943c4e2a4c | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-10-31T01:08:17.000Z | 2021-11-08T09:43:17.000Z | examples/ImageRecon/GEOmetrics/train.py | AOE-khkhan/kaolin | ed132736421ee723d14d59eaeb0286a8916a159d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | examples/ImageRecon/GEOmetrics/train.py | AOE-khkhan/kaolin | ed132736421ee723d14d59eaeb0286a8916a159d | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-07-17T16:08:35.000Z | 2021-07-17T16:08:35.000Z | # Copyright (c) 2019, NVIDIA CORPORATION. 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 applicabl... | 40.495798 | 148 | 0.672477 |
de099d4ec50e073b7b276ce018da4f6af5d4b5ff | 2,524 | py | Python | tests/foofixtures.py | dannguyen/pgark | 6fa2f4f6b39e9cab520e32a61afe3404cdf4f34b | [
"MIT"
] | 1 | 2021-02-28T03:56:52.000Z | 2021-02-28T03:56:52.000Z | tests/foofixtures.py | dannguyen/pgark | 6fa2f4f6b39e9cab520e32a61afe3404cdf4f34b | [
"MIT"
] | null | null | null | tests/foofixtures.py | dannguyen/pgark | 6fa2f4f6b39e9cab520e32a61afe3404cdf4f34b | [
"MIT"
] | null | null | null | import pytest
import responses
import json as jsonlib
from pathlib import Path
import pgark
import pgark.archivers.wayback as wb
FIXTURES_DIR = Path("tests/fixtures/_old")
| 25.494949 | 73 | 0.585182 |
de0b67f55209e2ecc6fb50b240d4a9427e7348df | 835 | py | Python | alien.py | alaanlimaa/jogo_invasao_alienigena | 34ba78ada57ea59da12ef1b54e653270188bd1ce | [
"MIT"
] | null | null | null | alien.py | alaanlimaa/jogo_invasao_alienigena | 34ba78ada57ea59da12ef1b54e653270188bd1ce | [
"MIT"
] | null | null | null | alien.py | alaanlimaa/jogo_invasao_alienigena | 34ba78ada57ea59da12ef1b54e653270188bd1ce | [
"MIT"
] | null | null | null | import pygame as pg
from pygame.sprite import Sprite
| 29.821429 | 79 | 0.653892 |
de0b80e419af4dc6fc3a94037ba0c532fce15f88 | 6,267 | py | Python | core/settings.py | ZeroExistence/blog_moe_ph_api | 03084202631105e7f8d32e3c215399804cd1bcd6 | [
"MIT"
] | null | null | null | core/settings.py | ZeroExistence/blog_moe_ph_api | 03084202631105e7f8d32e3c215399804cd1bcd6 | [
"MIT"
] | null | null | null | core/settings.py | ZeroExistence/blog_moe_ph_api | 03084202631105e7f8d32e3c215399804cd1bcd6 | [
"MIT"
] | null | null | null | """
Django settings for core project.
Generated by 'django-admin startproject' using Django 3.1.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathlib im... | 27.247826 | 154 | 0.657891 |
de0e735f15620c71072611faa3fc697b0f1ef4db | 16,195 | py | Python | object_detection2/modeling/onestage_heads/fcos_outputsv2.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 6 | 2019-12-10T17:18:56.000Z | 2022-03-01T01:00:35.000Z | object_detection2/modeling/onestage_heads/fcos_outputsv2.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 2 | 2021-08-25T16:16:01.000Z | 2022-02-10T05:21:19.000Z | object_detection2/modeling/onestage_heads/fcos_outputsv2.py | vghost2008/wml | d0c5a1da6c228e321ae59a563e9ac84aa66266ff | [
"MIT"
] | 2 | 2019-12-07T09:57:35.000Z | 2021-09-06T04:58:10.000Z | #coding=utf-8
import tensorflow as tf
import wml_tfutils as wmlt
import wnn
import functools
import tfop
import object_detection2.bboxes as odbox
from object_detection2.standard_names import *
import wmodule
from object_detection2.modeling.onestage_heads.onestage_tools import *
from object_detection2.datadef import *
f... | 48.927492 | 132 | 0.614202 |
de0ec166301768ecd45c66fc958622d5afd23ae6 | 8,756 | py | Python | db_controller.py | ejeiffe/Reference-Manager | 2ee901ba7e44914319a36e5dfc46e2ac4756ee04 | [
"MIT"
] | 2 | 2020-05-04T10:40:31.000Z | 2021-04-05T12:13:22.000Z | db_controller.py | ejeiffe/Reference-Manager | 2ee901ba7e44914319a36e5dfc46e2ac4756ee04 | [
"MIT"
] | null | null | null | db_controller.py | ejeiffe/Reference-Manager | 2ee901ba7e44914319a36e5dfc46e2ac4756ee04 | [
"MIT"
] | 1 | 2021-03-04T09:11:42.000Z | 2021-03-04T09:11:42.000Z | import sqlite3
| 50.906977 | 168 | 0.631224 |
de0ed518e86bcc22e91a486320374a237105f31a | 3,070 | py | Python | tests/test_schemas/full_put_schema.py | gavrie/swagger-conformance | 58d970bf9a8886e54de408e705c128884af4d70d | [
"MIT"
] | 55 | 2017-04-21T23:41:20.000Z | 2021-04-27T13:24:22.000Z | tests/test_schemas/full_put_schema.py | gavrie/swagger-conformance | 58d970bf9a8886e54de408e705c128884af4d70d | [
"MIT"
] | 10 | 2018-02-12T18:49:07.000Z | 2020-12-03T12:27:05.000Z | tests/test_schemas/full_put_schema.py | gavrie/swagger-conformance | 58d970bf9a8886e54de408e705c128884af4d70d | [
"MIT"
] | 12 | 2017-10-31T12:39:28.000Z | 2020-07-13T08:23:44.000Z | '''
A simple REST API exposing a swagger schema.
'''
import logging
import os.path
from flask import request
from flask_restplus import Resource, fields
from common import main, api
log = logging.getLogger(__name__)
example_ns = api.namespace('example', description="Example operations")
# Define some custom fie... | 33.369565 | 76 | 0.53127 |
de0f5660ff8481c2a4f37f981967e6c65955ffe9 | 818 | py | Python | ssu-calculus-methods/cubic_spline.py | Imperat/SSU-Information-Security-Course | 24c04cb8b4da0231d65d587e981e15b1fefc19eb | [
"Apache-2.0"
] | null | null | null | ssu-calculus-methods/cubic_spline.py | Imperat/SSU-Information-Security-Course | 24c04cb8b4da0231d65d587e981e15b1fefc19eb | [
"Apache-2.0"
] | null | null | null | ssu-calculus-methods/cubic_spline.py | Imperat/SSU-Information-Security-Course | 24c04cb8b4da0231d65d587e981e15b1fefc19eb | [
"Apache-2.0"
] | null | null | null | from math import sin
ys = [sin(i) for i in range(1,3.14, 0.2)]
xs = range(1, 3.14, 0.2)
lamba1 = (3 * f_r(2) - 3 * f_r(1)) / (2 * (h(1) + h(2)))
delta1 = - h(2) / (2 * (h(1) + h(2)))
deltas = [delta1]
lambas = [lamba1]
for k in range(3,n):
t = h(k) / (2 * h(k-1) + 2 * h(k) + h(k-1) * deltas[-1])
... | 21.526316 | 61 | 0.430318 |
de0f64cdd410f171eb59a7a23bdb2ba876e40cd2 | 10,331 | py | Python | src/pyams_thesaurus/zmi/term.py | Py-AMS/pyams-thesaurus | c342a1d80042bd17b3bd36295bfea296ccc7f357 | [
"ZPL-2.1"
] | null | null | null | src/pyams_thesaurus/zmi/term.py | Py-AMS/pyams-thesaurus | c342a1d80042bd17b3bd36295bfea296ccc7f357 | [
"ZPL-2.1"
] | null | null | null | src/pyams_thesaurus/zmi/term.py | Py-AMS/pyams-thesaurus | c342a1d80042bd17b3bd36295bfea296ccc7f357 | [
"ZPL-2.1"
] | null | null | null | #
# Copyright (c) 2015-2021 Thierry Florac <tflorac AT ulthar.net>
# All Rights Reserved.
#
# 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 IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRAN... | 39.431298 | 91 | 0.599652 |
de11223e3e75fc6e894f166dfe6ed7b445b1b448 | 11,677 | py | Python | experiments/mol/configs.py | shyam196/egc | 43ddb88e82b6e2e3ac7c9a3736a8e55954168f5e | [
"MIT"
] | 18 | 2021-04-05T08:20:08.000Z | 2022-03-30T22:15:12.000Z | experiments/mol/configs.py | shyam196/egc | 43ddb88e82b6e2e3ac7c9a3736a8e55954168f5e | [
"MIT"
] | 1 | 2021-04-06T21:39:39.000Z | 2021-04-06T22:12:46.000Z | experiments/mol/configs.py | shyam196/egc | 43ddb88e82b6e2e3ac7c9a3736a8e55954168f5e | [
"MIT"
] | 4 | 2021-04-15T14:34:48.000Z | 2021-10-17T12:25:29.000Z | import torch
import torch.nn.functional as F
from exptune.exptune import ExperimentSettings, Metric, TrialResources
from exptune.hyperparams import (
ChoiceHyperParam,
LogUniformHyperParam,
UniformHyperParam,
)
from exptune.search_strategies import GridSearchStrategy
from exptune.summaries.final_run_summari... | 29.941026 | 88 | 0.587308 |
de123aa1128d6ecaaf7b7f80133bf558b3bdcdb1 | 4,097 | py | Python | zou_2021/strain_energy.py | andrewtarzia/citable_data | 6a9b94c7f1bddbd1f5f2f6e042fead632d17cc74 | [
"MIT"
] | null | null | null | zou_2021/strain_energy.py | andrewtarzia/citable_data | 6a9b94c7f1bddbd1f5f2f6e042fead632d17cc74 | [
"MIT"
] | null | null | null | zou_2021/strain_energy.py | andrewtarzia/citable_data | 6a9b94c7f1bddbd1f5f2f6e042fead632d17cc74 | [
"MIT"
] | null | null | null | from os.path import exists
import json
import stk
from atools import (
get_organic_linkers, calculate_energy, read_gfnx2xtb_eyfile
)
def calculate_ligand_SE(
org_ligs,
sdict,
opt_mol_dir,
output_json,
):
"""
Calculate the strain energy of each ligand in the cage.
Parameters
----... | 26.262821 | 69 | 0.53527 |
de129eac046fccfa2f9c457c8305d20f43f95814 | 265 | py | Python | openCV/ShowImage.py | MatveiAleksandrovich/Artificial-Intelligence | d3d6f253e7c2256f6f9d490b077bdb50ca1da229 | [
"MIT"
] | null | null | null | openCV/ShowImage.py | MatveiAleksandrovich/Artificial-Intelligence | d3d6f253e7c2256f6f9d490b077bdb50ca1da229 | [
"MIT"
] | null | null | null | openCV/ShowImage.py | MatveiAleksandrovich/Artificial-Intelligence | d3d6f253e7c2256f6f9d490b077bdb50ca1da229 | [
"MIT"
] | null | null | null | import cv2
img = cv2.imread('assets/PersLogo_4.jpg', -1)
img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
img = cv2.rotate(img, cv2.cv2.ROTATE_90_COUNTERCLOCKWISE)
cv2.imwrite('assets/new_img.jpg', img)
cv2.imshow('Image ', img)
cv2.waitKey(0)
cv2.destroyWindow()
| 22.083333 | 57 | 0.701887 |
de1335c8676fc555e37a1a77fd0c651c52901bd5 | 1,305 | py | Python | angr/procedures/posix/accept.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 6,132 | 2015-08-06T23:24:47.000Z | 2022-03-31T21:49:34.000Z | angr/procedures/posix/accept.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 2,272 | 2015-08-10T08:40:07.000Z | 2022-03-31T23:46:44.000Z | angr/procedures/posix/accept.py | Kyle-Kyle/angr | 345b2131a7a67e3a6ffc7d9fd475146a3e12f837 | [
"BSD-2-Clause"
] | 1,155 | 2015-08-06T23:37:39.000Z | 2022-03-31T05:54:11.000Z | import angr
######################################
# accept (but not really)
######################################
| 42.096774 | 103 | 0.585441 |
de15fbbe1b7d2965b241fbdd3c9b6e81ae96f168 | 924 | py | Python | common/evaluate.py | Ji-Xin/bovina | 3690ca73c99e0fb451547ce690e03cb9c4d6213c | [
"Apache-2.0"
] | 6 | 2019-04-08T05:53:03.000Z | 2021-02-06T08:19:36.000Z | common/evaluate.py | Ji-Xin/bovina | 3690ca73c99e0fb451547ce690e03cb9c4d6213c | [
"Apache-2.0"
] | 18 | 2019-03-13T20:19:02.000Z | 2019-07-30T18:53:03.000Z | common/evaluate.py | Ji-Xin/bovina | 3690ca73c99e0fb451547ce690e03cb9c4d6213c | [
"Apache-2.0"
] | 2 | 2019-03-11T14:13:42.000Z | 2019-10-20T21:50:25.000Z | from common.evaluators.diff_token_evaluator import DiffTokenEvaluator
from common.evaluators.paired_token_evaluator import PairedTokenEvaluator
| 35.538462 | 106 | 0.722944 |
a9a63bf94e80ef53297bd881b848b356b0fc09e3 | 2,412 | py | Python | cluster_scripts/gen_train_exp.py | LasseWolter/laughter-detection-icsi | 7e01a00f81332cd35a6266fa4d1d83b800944a40 | [
"MIT"
] | null | null | null | cluster_scripts/gen_train_exp.py | LasseWolter/laughter-detection-icsi | 7e01a00f81332cd35a6266fa4d1d83b800944a40 | [
"MIT"
] | null | null | null | cluster_scripts/gen_train_exp.py | LasseWolter/laughter-detection-icsi | 7e01a00f81332cd35a6266fa4d1d83b800944a40 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Script for generating experiments.txt"""
import os
from lxml import etree
from dotenv import load_dotenv, find_dotenv
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from config import ANALYSIS as cfg
load_dotenv(find_dotenv('.env'))
FEATS_DIR=os.getenv(... | 36 | 174 | 0.700249 |
a9a6afc3173d68681dcae81aae4811f5fd44ca32 | 1,299 | py | Python | nuts.py | rasmuse/subnational-p-budgets | 156437c816aafc9b4758464526a03939adf50c48 | [
"MIT"
] | null | null | null | nuts.py | rasmuse/subnational-p-budgets | 156437c816aafc9b4758464526a03939adf50c48 | [
"MIT"
] | null | null | null | nuts.py | rasmuse/subnational-p-budgets | 156437c816aafc9b4758464526a03939adf50c48 | [
"MIT"
] | null | null | null | import pandas as pd
import eust
import hierarchy
import settings
| 22.789474 | 76 | 0.622787 |
a9a7f46c7572b94c3a18b2d17dc43d55e2adfce7 | 41,790 | py | Python | packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py | depscloud/api | 8a7dccb76186d0b76821977c50323f6dfcab046a | [
"MIT"
] | 3 | 2019-09-23T14:05:06.000Z | 2020-04-22T18:39:30.000Z | packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py | depscloud/api | 8a7dccb76186d0b76821977c50323f6dfcab046a | [
"MIT"
] | 57 | 2020-06-28T15:41:57.000Z | 2022-03-26T22:44:12.000Z | packages/depscloud-api-python/depscloud_api/v1alpha/tracker/tracker_pb2.py | depscloud/api | 8a7dccb76186d0b76821977c50323f6dfcab046a | [
"MIT"
] | 2 | 2019-11-23T03:36:08.000Z | 2020-04-27T09:30:16.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: depscloud_api/v1alpha/tracker/tracker.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _... | 43.350622 | 4,569 | 0.7771 |
a9a88be0ef966f33151c466cf8087bb099a53eee | 3,089 | py | Python | alembic/versions/d365c792c756_convert_two_streets_cache_to_single.py | shaysw/anyway | 35dec531fd4ac79c99d09e684027df017e989ddc | [
"MIT"
] | 1 | 2022-01-19T18:23:03.000Z | 2022-01-19T18:23:03.000Z | alembic/versions/d365c792c756_convert_two_streets_cache_to_single.py | shaysw/anyway | 35dec531fd4ac79c99d09e684027df017e989ddc | [
"MIT"
] | 2 | 2021-11-02T13:37:23.000Z | 2021-11-23T15:51:06.000Z | alembic/versions/d365c792c756_convert_two_streets_cache_to_single.py | shaysw/anyway | 35dec531fd4ac79c99d09e684027df017e989ddc | [
"MIT"
] | null | null | null | """convert-two-streets-cache-to-single
Revision ID: d365c792c756
Revises: b38237665bc9
Create Date: 2021-12-30 16:57:22.196091
"""
# revision identifiers, used by Alembic.
revision = 'd365c792c756'
down_revision = 'b38237665bc9'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
f... | 38.135802 | 109 | 0.652962 |
a9a9147d3a3896f06d1cc43042c2036d892a829a | 1,776 | py | Python | cachefy.py | aspnetcs/RecurJac-and-CROWN | 5b3fcaaa7a275483e26164506f66a618538ee881 | [
"BSD-2-Clause"
] | 54 | 2020-09-09T12:43:43.000Z | 2022-03-17T17:31:19.000Z | cachefy.py | huanzhang12/RecurJac-Jacobian-Bounds | 163c84e7a8d345d18c718cf6b0bc61baa8a1a78a | [
"BSD-2-Clause"
] | 8 | 2020-09-23T05:11:31.000Z | 2022-03-12T00:47:29.000Z | cachefy.py | huanzhang12/RecurJac | 163c84e7a8d345d18c718cf6b0bc61baa8a1a78a | [
"BSD-2-Clause"
] | 5 | 2020-09-10T07:19:43.000Z | 2021-07-24T06:28:04.000Z | #!/usr/bin/env python3
## cachefy.py
##
## Add or remove numba "cache" decorators
##
## Copyright (C) 2018, Huan Zhang <huan@huan-zhang.com> and contributors
##
## This program is licenced under the BSD 2-Clause License,
## contained in the LICENCE file in this directory.
## See CREDITS for a list of contributors.
##... | 26.507463 | 75 | 0.492117 |
a9a9700acbe8d4b83232569e31a1d7260b1f8b80 | 41 | py | Python | visualization/visualizer/__init__.py | zhigangjiang/LGT-Net | d9a619158b2dc66a50c100e7fa7e491f1df16fd7 | [
"MIT"
] | 11 | 2022-03-03T17:49:33.000Z | 2022-03-25T11:23:11.000Z | visualization/visualizer/__init__.py | zhigangjiang/LGT-Net | d9a619158b2dc66a50c100e7fa7e491f1df16fd7 | [
"MIT"
] | null | null | null | visualization/visualizer/__init__.py | zhigangjiang/LGT-Net | d9a619158b2dc66a50c100e7fa7e491f1df16fd7 | [
"MIT"
] | 1 | 2022-03-04T06:39:50.000Z | 2022-03-04T06:39:50.000Z | """
@Date: 2021/11/06
@description:
"""
| 8.2 | 17 | 0.560976 |
a9ab97df2b4e2947fbef542a5ade971945d4bf04 | 2,481 | py | Python | __init__.py | felipedeaquino/firstFm | eb5f143e59aada0e4151901ff72bd20a573af2fc | [
"MIT"
] | null | null | null | __init__.py | felipedeaquino/firstFm | eb5f143e59aada0e4151901ff72bd20a573af2fc | [
"MIT"
] | null | null | null | __init__.py | felipedeaquino/firstFm | eb5f143e59aada0e4151901ff72bd20a573af2fc | [
"MIT"
] | null | null | null | __version__ = '0.1.0'
from urllib.request import urlopen
import datetime
from datetime import timedelta
from bs4 import BeautifulSoup
inputUser = input('Qual nick do Last.fm tu quer o relatrio? ') #inserir usurio
now = datetime.datetime.now().timestamp() #manda timestamp de agora
byeFloat = int(now) #deixa de ser fl... | 44.303571 | 133 | 0.669488 |