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ef1431dac95c7e69b7262a40569f5236bf33fd8b | 4,217 | py | Python | code/service/flaskapp/flaskapp.py | Wyss/evolvulator | c026b9e7425cabba8b7a5b49024173c6f9667337 | [
"MIT"
] | 1 | 2016-01-05T20:10:10.000Z | 2016-01-05T20:10:10.000Z | code/service/flaskapp/flaskapp.py | Wyss/evolvulator | c026b9e7425cabba8b7a5b49024173c6f9667337 | [
"MIT"
] | null | null | null | code/service/flaskapp/flaskapp.py | Wyss/evolvulator | c026b9e7425cabba8b7a5b49024173c6f9667337 | [
"MIT"
] | null | null | null | """
Copyright (c) 2012 Wyss Institute at Harvard University
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge... | 35.436975 | 109 | 0.708798 | 0 | 0 | 0 | 0 | 2,168 | 0.51411 | 0 | 0 | 2,179 | 0.516718 |
ef1825ce5af0c1bb4c24887ac8d1e612fd32ac97 | 5,383 | py | Python | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | 7 | 2021-04-29T05:23:56.000Z | 2022-03-23T02:26:55.000Z | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | null | null | null | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | 4 | 2021-06-10T19:02:57.000Z | 2021-12-06T01:31:06.000Z | # BSD LICENSE
#
# Copyright(c) 2010-2014 Intel Corporation. All rights reserved.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copy... | 33.228395 | 75 | 0.583132 | 3,341 | 0.620658 | 0 | 0 | 0 | 0 | 0 | 0 | 2,629 | 0.488389 |
ef191d6989e1e630c43331526ecc6be3b87686af | 331 | py | Python | tests/test_models.py | kajigga/dj-pylti | 2388719ee799b3033a9ab7ccf28667e69bcd8cd6 | [
"BSD-3-Clause"
] | null | null | null | tests/test_models.py | kajigga/dj-pylti | 2388719ee799b3033a9ab7ccf28667e69bcd8cd6 | [
"BSD-3-Clause"
] | null | null | null | tests/test_models.py | kajigga/dj-pylti | 2388719ee799b3033a9ab7ccf28667e69bcd8cd6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_dj-pylti
------------
Tests for `dj-pylti` models module.
"""
from django.test import TestCase
from dj_pylti import models
class TestDj_pylti(TestCase):
def setUp(self):
pass
def test_something(self):
pass
def tearDown(self):
... | 12.730769 | 35 | 0.607251 | 146 | 0.441088 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 0.347432 |
ef19d273749fc5c7cda4c1d9c7f1b0e4fb378f5e | 30,467 | py | Python | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | """Mutation.
Usage:
mutation play [--verbose] [--exclude=<globs>] [--only-deadcode-detection] [--include=<globs>] [--sampling=<s>] [--randomly-seed=<n>] [--max-workers=<n>] [<file-or-directory> ...] [-- TEST-COMMAND ...]
mutation replay [--verbose] [--max-workers=<n>]
mutation list
mutation show MUTATION
mut... | 28.961027 | 202 | 0.573046 | 4,729 | 0.155156 | 4,735 | 0.155353 | 107 | 0.003511 | 6,647 | 0.218085 | 5,718 | 0.187605 |
ef1a0f68bf7e4627785fe119d1363f10a767d348 | 1,058 | py | Python | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | 2 | 2018-03-29T12:15:04.000Z | 2019-01-09T02:09:41.000Z | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | null | null | null | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | null | null | null | import argparse
from ColorDetector import ColorDetector
def main():
detector = ColorDetector()
parser = argparse.ArgumentParser()
# --k : number of clusters, --image: image path, --debug: debug level
parser.add_argument("--k", nargs=1, type=int, help='maximum number of colors to be identified. Default:... | 30.228571 | 111 | 0.660681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 296 | 0.279773 |
ef1bad6bf6953bfcc6d21e0a6fe6026bfa17d421 | 286 | py | Python | desafio64.py | DantonMatheus/desafios-python | 709a3f1774596fc536dd4b882c78a6b951c92a9c | [
"MIT"
] | null | null | null | desafio64.py | DantonMatheus/desafios-python | 709a3f1774596fc536dd4b882c78a6b951c92a9c | [
"MIT"
] | null | null | null | desafio64.py | DantonMatheus/desafios-python | 709a3f1774596fc536dd4b882c78a6b951c92a9c | [
"MIT"
] | null | null | null | print('===== DESAFIO 64 =====')
num = 0
cont = 0
soma = 0
num = int(input('Digite um número [999 para SAIR]: '))
while num != 999:
soma += num
cont += 1
num = int(input('Digite um número [999 para SAIR]: '))
print(f'Você digitou {cont} números! A soma entre eles é {soma}')
| 26 | 65 | 0.594406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.546392 |
ef1beeeb227406f72c9053a339254f85199fda6b | 2,062 | py | Python | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | from elasticapm.contrib.flask import ElasticAPM
import os
from flask import Flask, request, render_template
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
APP = Flask(__name__)
APP.config['ELASTIC_APM'] = {
}
apm = ElasticAPM(APP)
APP.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
APP.co... | 25.775 | 90 | 0.70805 | 0 | 0 | 0 | 0 | 1,296 | 0.628516 | 0 | 0 | 568 | 0.275461 |
ef1c14040a2c37814d24485011b2191f84d572dc | 325 | py | Python | pytify/strategy.py | EngineeringIsLife/Pytify | ae9a351144cb8f5556740d33cdf29073ffd2dc1e | [
"MIT"
] | null | null | null | pytify/strategy.py | EngineeringIsLife/Pytify | ae9a351144cb8f5556740d33cdf29073ffd2dc1e | [
"MIT"
] | null | null | null | pytify/strategy.py | EngineeringIsLife/Pytify | ae9a351144cb8f5556740d33cdf29073ffd2dc1e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from sys import platform
def get_pytify_class_by_platform():
if 'linux' in platform:
from linux import Linux
return Linux
elif 'darwin' in platform:
from darwin import Darwin
return Darwin
else:
raise Exception('%s is not supported.' % platf... | 21.666667 | 58 | 0.630769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.184615 |
ef1e04b7ef6eaf43f6fa7d6f871605144e4d447e | 8,836 | py | Python | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 2 | 2015-04-11T12:22:41.000Z | 2016-08-18T11:12:06.000Z | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 84 | 2015-01-22T14:33:49.000Z | 2015-04-01T23:15:29.000Z | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 1 | 2015-04-16T03:10:39.000Z | 2015-04-16T03:10:39.000Z | # -*- coding: utf-8 -*-
from datetime import datetime
import logging
import os.path
import requests
import time
import urllib
from bs4 import BeautifulSoup
from utils import mongo
class FetchMeetings:
def __init__(self, **kwargs):
# fetch the logger
self._logger = logging.getLogger("spud")
... | 46.26178 | 175 | 0.563943 | 8,490 | 0.960842 | 0 | 0 | 0 | 0 | 0 | 0 | 1,980 | 0.224083 |
ef20178603cd20e2dd144ff595f24f1bbc671045 | 282 | py | Python | django_mediamosa/templatetags/mediamosa_extras.py | UGentPortaal/django-mediamosa | 553a725cd02e8dd2489bf25a613c9b98155cf90d | [
"BSD-3-Clause"
] | null | null | null | django_mediamosa/templatetags/mediamosa_extras.py | UGentPortaal/django-mediamosa | 553a725cd02e8dd2489bf25a613c9b98155cf90d | [
"BSD-3-Clause"
] | null | null | null | django_mediamosa/templatetags/mediamosa_extras.py | UGentPortaal/django-mediamosa | 553a725cd02e8dd2489bf25a613c9b98155cf90d | [
"BSD-3-Clause"
] | null | null | null | from django import template
register = template.Library()
@register.filter
def mimetype(value, mime_type):
mediafiles = []
for mediafile in value:
if mediafile.metadata.get('mime_type') == mime_type:
mediafiles.append(mediafile)
return mediafiles
| 21.692308 | 60 | 0.695035 | 0 | 0 | 0 | 0 | 220 | 0.780142 | 0 | 0 | 11 | 0.039007 |
ef21cfd36477df2859e374f71d6a0bbf86ff8519 | 561 | py | Python | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | null | null | null | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | 9 | 2018-09-17T20:50:43.000Z | 2018-12-07T21:19:56.000Z | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | null | null | null | import os
import boto3
import dj_database_url
from mbq import env, metrics
SECRET_KEY = 'fake-key'
DEBUG = True
ATOMIQ = {
'env': 'Test',
'service': 'test-service',
}
database_url = os.environ.get('DATABASE_URL', 'mysql://root:@mysql:3306/atomiqdb')
DATABASES = {
'default': dj_database_url.parse(databa... | 16.5 | 82 | 0.695187 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.270945 |
ef246213ff135ecbc464dc2dd429de5edde34475 | 720 | py | Python | backend/util.py | ahangchen/Rasp-Person-Sensor | 77d0e41b1a80cf9012f66c7bd44f062edbc6825d | [
"MIT"
] | 2 | 2018-02-26T10:00:29.000Z | 2018-03-16T11:39:34.000Z | backend/util.py | ahangchen/Rasp-Person-Sensor | 77d0e41b1a80cf9012f66c7bd44f062edbc6825d | [
"MIT"
] | null | null | null | backend/util.py | ahangchen/Rasp-Person-Sensor | 77d0e41b1a80cf9012f66c7bd44f062edbc6825d | [
"MIT"
] | null | null | null | import json
import requests
def upload_file(upload_url, file_path):
files = {'file': open(file_path, 'rb')}
response = requests.post(upload_url, files=files)
ret = response.content.decode('utf-8')
ret_json = json.loads(ret)
print ret_json
return ret_json['data']
def post_json(post_url, post... | 27.692308 | 83 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.147222 |
ef249d4819e51ded253cba64970d4792e29e13ee | 4,761 | py | Python | hard-gists/2338529/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/2338529/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/2338529/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | """
Tools for creating a CA cert and signed server certs.
Divined from http://svn.osafoundation.org/m2crypto/trunk/tests/test_x509.py
The mk_temporary_xxx calls return a NamedTemporaryFile with certs.
Usage ;
# Create a temporary CA cert and it's private key
cacert, cakey = mk_temporary_cacert()
# Create a ... | 23.924623 | 87 | 0.710985 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,057 | 0.432052 |
ef25471191ad1db593810b69150f45edb9dc331e | 2,615 | py | Python | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | 2 | 2021-08-03T17:32:09.000Z | 2021-08-03T18:28:31.000Z | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | null | null | null | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | null | null | null | from collections import deque
class IndexedObject:
"""Container for an object that has indices
:param name: Name of the object
:param indices: Indices attached to it
"""
def __init__(self,name,indices):
"""Constructor
"""
self.name = name
self.indices = indic... | 30.406977 | 111 | 0.549522 | 2,581 | 0.986998 | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 0.269598 |
ef25c53ea4c0fb58041ed1cd6cded53b4e340d23 | 10,942 | py | Python | v0/aia_eis_v0/ml_sl/rf/dt_main.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | 1 | 2022-03-02T12:57:19.000Z | 2022-03-02T12:57:19.000Z | v0/aia_eis_v0/ml_sl/rf/dt_main.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | null | null | null | v0/aia_eis_v0/ml_sl/rf/dt_main.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | null | null | null | import copy
from utils.file_utils.dataset_reader_pack.ml_dataset_reader import get_TV_T_dataset, get_T_V_T_dataset
from ml_sl.rf.dt_0 import Node, save_node, load_node
from ml_sl.ml_data_wrapper import pack_list_2_list, single_point_list_2_list, reform_labeled_dataset_list
from ml_sl.ml_data_wrapper import split_label... | 46.961373 | 123 | 0.732681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,324 | 0.392022 |
ef29d7cb4df5849c15653808babb4473a2403757 | 874 | py | Python | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | from SAGIRIBOT.basics.aio_mysql_excute import execute_sql
async def update_setting(group_id, setting_name, new_setting_value) -> None:
"""
Update setting to database
Args:
group_id: Group id
setting_name: Setting name
new_setting_value: New setting value
Examples:
awa... | 31.214286 | 105 | 0.662471 | 0 | 0 | 0 | 0 | 0 | 0 | 813 | 0.930206 | 407 | 0.465675 |
ef2afd3b3d3cc23390816b111f6a8ec32454a594 | 486 | py | Python | setup.py | fmaida/caro-diario | adc5018f2ef716b49db39aa9189ab1e803fcd357 | [
"MIT"
] | null | null | null | setup.py | fmaida/caro-diario | adc5018f2ef716b49db39aa9189ab1e803fcd357 | [
"MIT"
] | null | null | null | setup.py | fmaida/caro-diario | adc5018f2ef716b49db39aa9189ab1e803fcd357 | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(
name = 'caro-diario',
packages = ['caro-diario'], # this must be the same as the name above
version = '0.1',
description = 'Diario',
author = 'Francesco Maida',
author_email = '[email protected]',
url = 'https://github.com/fmaida/caro-diario.git', # use the ... | 34.714286 | 85 | 0.67284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.572016 |
ef2c168f7b4d969663dc1ed93f01785a68c36dd1 | 3,695 | py | Python | cVQE/operators/converters/tensoredop_distributor.py | gblazq/cVQE | 5a566103c35696ec0cf2b016c38d71de696e0e29 | [
"Apache-2.0"
] | 1 | 2021-09-16T12:43:21.000Z | 2021-09-16T12:43:21.000Z | cVQE/operators/converters/tensoredop_distributor.py | gblazq/cVQE | 5a566103c35696ec0cf2b016c38d71de696e0e29 | [
"Apache-2.0"
] | null | null | null | cVQE/operators/converters/tensoredop_distributor.py | gblazq/cVQE | 5a566103c35696ec0cf2b016c38d71de696e0e29 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Guillermo Blázquez
#
# 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 wr... | 43.988095 | 131 | 0.677402 | 2,901 | 0.784903 | 0 | 0 | 0 | 0 | 0 | 0 | 1,881 | 0.508929 |
ef313c50d5c6317ec48b8b4af0c2b6702fb01991 | 8,027 | py | Python | tests/test_core_deformation.py | matmodlab/matmodlab2 | 97bb858e2b625cca5f3291db5d50bdbb6352e976 | [
"BSD-3-Clause"
] | 6 | 2017-02-14T02:04:56.000Z | 2022-02-03T04:53:32.000Z | tests/test_core_deformation.py | tjfulle/matmodlab2 | 97bb858e2b625cca5f3291db5d50bdbb6352e976 | [
"BSD-3-Clause"
] | 10 | 2017-01-21T00:00:06.000Z | 2017-01-22T07:39:44.000Z | tests/test_core_deformation.py | tjfulle/matmodlab2 | 97bb858e2b625cca5f3291db5d50bdbb6352e976 | [
"BSD-3-Clause"
] | 3 | 2018-10-20T22:53:59.000Z | 2022-01-13T07:17:24.000Z | # -*- coding: utf-8 -*-
"""
This file contains tests for tensor.py
"""
import sys
import pathlib
import pytest
import numpy as np
from testing_utils import isclose
# Ensure that 'matmodlab2' is imported from parent directory.
sys.path.insert(0, str(pathlib.Path(__file__).absolute().parent.parent))
import matmodlab2
i... | 38.042654 | 123 | 0.590133 | 0 | 0 | 0 | 0 | 1,199 | 0.149371 | 0 | 0 | 1,064 | 0.132553 |
ef3678c7e21e6c165bc6c6b597bc9cfc9cfa52bc | 10,380 | py | Python | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 97 | 2018-01-15T19:29:31.000Z | 2022-03-11T00:27:34.000Z | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 10 | 2018-01-15T22:44:55.000Z | 2022-02-18T09:44:10.000Z | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 33 | 2018-01-15T19:34:23.000Z | 2022-03-05T22:39:33.000Z | from trumania.core import circus
import trumania.core.population as population
import trumania.core.random_generators as gen
import trumania.core.operations as ops
import trumania.core.story as story
import trumania.components.time_patterns.profilers as profilers
import trumania.core.util_functions as util_functions
im... | 34.832215 | 87 | 0.657225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,450 | 0.33237 |
ef377a0c8139bd037fffc10567802d319f904716 | 1,104 | py | Python | Hackerrank/Python/class-1-dealing-with-complex-numbers.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | 1 | 2021-01-10T13:29:21.000Z | 2021-01-10T13:29:21.000Z | Hackerrank/Python/class-1-dealing-with-complex-numbers.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | null | null | null | Hackerrank/Python/class-1-dealing-with-complex-numbers.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | null | null | null | import math
class Complex(object):
def __init__(self, real, imaginary):
self.real = real
self.imaginary = imaginary
def __add__(self, no):
return (Complex(self.real + no.real, self.imaginary + no.imaginary))
def __sub__(self, no):
return (Complex(self.real ... | 33.454545 | 130 | 0.588768 | 880 | 0.797101 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.048913 |
ef3d18dad9fb4f3ea7850ca0af729153b0fd6bb6 | 1,828 | py | Python | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | 1 | 2019-10-22T11:33:23.000Z | 2019-10-22T11:33:23.000Z | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | null | null | null | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | null | null | null | from itertools import product
from hyperparameter_tuner.single_parameter_generator import single_parameter_generator as sgen
class run_command_generator():
def __init__(self, single_parameter_generator_list, command_prefix="python ../experiment.py",
output_path="./results"):
for gen in s... | 46.871795 | 116 | 0.650438 | 1,115 | 0.609956 | 685 | 0.374726 | 0 | 0 | 0 | 0 | 289 | 0.158096 |
ef3d7706ee027142a3cc848598e7a4e1a2e3f600 | 1,718 | py | Python | utils/storage/redisPSCO/python/storage/storage_object.py | TANGO-Project/compss-tango | d9e007b6fe4f8337d4f267f95f383d8962602ab8 | [
"Apache-2.0"
] | 3 | 2018-03-05T14:52:22.000Z | 2019-02-08T09:58:24.000Z | utils/storage/redisPSCO/python/storage/storage_object.py | TANGO-Project/compss-tango | d9e007b6fe4f8337d4f267f95f383d8962602ab8 | [
"Apache-2.0"
] | null | null | null | utils/storage/redisPSCO/python/storage/storage_object.py | TANGO-Project/compss-tango | d9e007b6fe4f8337d4f267f95f383d8962602ab8 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017 Barcelona Supercomputing Center (www.bsc.es)
#
# 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... | 28.163934 | 75 | 0.679278 | 904 | 0.526193 | 0 | 0 | 0 | 0 | 0 | 0 | 1,065 | 0.619907 |
ef3ec4855031980afb1650987b97c64ce63c1807 | 5,476 | py | Python | origin_response_test.py | dnsinogeorgos/lambdas | 4294089b311585c18e101e776aa2e8ca211413cd | [
"Apache-2.0"
] | null | null | null | origin_response_test.py | dnsinogeorgos/lambdas | 4294089b311585c18e101e776aa2e8ca211413cd | [
"Apache-2.0"
] | null | null | null | origin_response_test.py | dnsinogeorgos/lambdas | 4294089b311585c18e101e776aa2e8ca211413cd | [
"Apache-2.0"
] | null | null | null | # pylint: disable=C0114
import unittest
from origin_response import lambda_handler
event = {
"Records": [
{
"cf": {
"config": {"requestId": "thisfakeidisthisfakeidisthisfakeidis"},
"request": {"uri": ""},
"response": {"headers": {}, "status": 0}... | 58.255319 | 974 | 0.626004 | 5,070 | 0.925858 | 0 | 0 | 0 | 0 | 0 | 0 | 3,726 | 0.680424 |
ef3f29141380c4970504779ca0adbe37edfcc48e | 377 | py | Python | lang/Python/abstract-type-2.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/abstract-type-2.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/abstract-type-2.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
class BaseQueue(metaclass=ABCMeta):
"""Abstract Class
"""
def __init__(self):
self.contents = list()
@abstractmethod
def Enqueue(self, item):
pass
@abstractmethod
def Dequeue(self):
pass
def Print_Contents(self):
... | 17.136364 | 39 | 0.594164 | 334 | 0.885942 | 0 | 0 | 108 | 0.286472 | 0 | 0 | 28 | 0.074271 |
ef4114aeaf1e0c3215bf5aee9d278bc0e2171dca | 338 | py | Python | apps/permissions/router.py | yhkl-dev/JAutoOps | e42342fc6d814813dcac2e0154cd5dfdc1adf4c1 | [
"MIT"
] | null | null | null | apps/permissions/router.py | yhkl-dev/JAutoOps | e42342fc6d814813dcac2e0154cd5dfdc1adf4c1 | [
"MIT"
] | null | null | null | apps/permissions/router.py | yhkl-dev/JAutoOps | e42342fc6d814813dcac2e0154cd5dfdc1adf4c1 | [
"MIT"
] | null | null | null | from rest_framework.routers import DefaultRouter
from .views import PermissionsViewset, GroupPermissionsViewset
permission_router = DefaultRouter()
permission_router.register(r'permissions', PermissionsViewset, basename="permissions")
permission_router.register(r'grouppermissions', GroupPermissionsViewset, basename="... | 48.285714 | 101 | 0.866864 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.189349 |
ef41254ab69ff27661576195222b554a1c94e4da | 6,158 | py | Python | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 90 | 2016-01-29T15:09:21.000Z | 2022-03-08T15:08:57.000Z | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 27 | 2016-01-14T10:30:10.000Z | 2022-03-24T08:00:31.000Z | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 20 | 2016-01-14T12:50:55.000Z | 2022-03-04T07:26:30.000Z | #!/usr/bin/env python
# encoding: utf-8
"""Classes used for rendering (parts) of the canvas.
Every parsed :class:`~inscriptis.model.html_element.HtmlElement` writes its
textual content to the canvas which is managed by the following three classes:
- :class:`Canvas` provides the drawing board on which the HTML page... | 38.248447 | 79 | 0.636733 | 5,311 | 0.862455 | 0 | 0 | 167 | 0.027119 | 0 | 0 | 2,610 | 0.423839 |
ef4351fb100c957415ebe720f79b5a02ebc2c300 | 9,324 | py | Python | tests/webtests/test_admin.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 8 | 2017-04-10T09:53:15.000Z | 2020-08-16T09:53:14.000Z | tests/webtests/test_admin.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 49 | 2017-04-13T22:51:48.000Z | 2019-08-15T22:53:25.000Z | tests/webtests/test_admin.py | zodman/ZoomFoundry | 87a69f519a2ab6b63aeec0a564ce41259e64f88d | [
"MIT"
] | 12 | 2017-04-11T04:16:47.000Z | 2019-08-10T21:41:54.000Z |
# -*- coding: utf-8 -*-
"""
zoom.tests.webdriver_tests.test_admin
test admin app functions
"""
from zoom.testing.webtest import AdminTestCase
class SystemTests(AdminTestCase):
"""MyApp system tests"""
def add_user(self, first_name, last_name, email, username):
self.get('/admin')
s... | 30.976744 | 88 | 0.569284 | 9,166 | 0.983054 | 0 | 0 | 0 | 0 | 0 | 0 | 3,350 | 0.359288 |
ef44efdf1df1a7a380310f517a87f13a57e2f804 | 1,832 | py | Python | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 27 | 2021-07-14T17:12:29.000Z | 2022-03-18T16:15:18.000Z | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 3 | 2021-08-29T11:22:04.000Z | 2022-02-16T23:20:04.000Z | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 4 | 2021-07-25T09:55:09.000Z | 2022-03-25T17:16:18.000Z | import json
import torch
from flask import Flask, request, jsonify
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from model.lofi2lofi_model import Decoder as Lofi2LofiDecoder
from model.lyrics2lofi_model import Lyrics2LofiModel
from server.lofi2lofi_generate import decode
from se... | 29.548387 | 90 | 0.771288 | 0 | 0 | 0 | 0 | 654 | 0.356987 | 0 | 0 | 337 | 0.183952 |
ef473c6a7f8ab89bcd75652de804e2198dfb2d97 | 1,153 | py | Python | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | 1 | 2021-08-09T07:22:25.000Z | 2021-08-09T07:22:25.000Z | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | null | null | null | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
Cryptowat.ch API
https://cryptowat.ch/docs/api
https://api.cryptowat.ch/markets/prices '''
import urllib.request, json, datetime, time
from urllib.request import urlopen
from pathlib import Path
csv_file_price = Path(__file__).parents[0] / 'data' / 'cryptowatch-bitcoin-price2.csv'
def requ... | 26.813953 | 86 | 0.633998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.298352 |
ef477b67fc29e51e58555a187fcad861bf802178 | 3,516 | py | Python | Actor_critic/actor_critic_test.py | aniketSanap/RL-session | 68243121277c24509585f51fd01f53fe8d41f119 | [
"MIT"
] | null | null | null | Actor_critic/actor_critic_test.py | aniketSanap/RL-session | 68243121277c24509585f51fd01f53fe8d41f119 | [
"MIT"
] | null | null | null | Actor_critic/actor_critic_test.py | aniketSanap/RL-session | 68243121277c24509585f51fd01f53fe8d41f119 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""actor_critic.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/17Gpya9yswf-xonOvKhoHpmQGhCYpq8x4
"""
# !pip install box2d-py
# !pip install gym[Box_2D]
import torch
from torch import nn
from torch.nn import functional as... | 32.859813 | 103 | 0.593003 | 3,060 | 0.870307 | 0 | 0 | 0 | 0 | 0 | 0 | 571 | 0.1624 |
ef488748bc20e35c68916d75dae55ef743e1069d | 6,145 | py | Python | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# coding: UTF-8
import os
import struct
from .sta import *
import json
import copy
import base64
from collections import OrderedDict
class Stream:
def __init__(self, byte):
self.byte = byte
self.index = 0
def read(self, size=None):
data = ''
if size is N... | 28.449074 | 73 | 0.593979 | 331 | 0.053865 | 0 | 0 | 0 | 0 | 0 | 0 | 1,677 | 0.272905 |
ef4888a9795dbbe5df0abc36429c88521fbd3e99 | 1,494 | py | Python | 872 Leaf-Similar Trees.py | krishna13052001/LeetCode | cd6ec626bea61f0bd9e8493622074f9e69a7a1c3 | [
"MIT"
] | 872 | 2015-06-15T12:02:41.000Z | 2022-03-30T08:44:35.000Z | 872 Leaf-Similar Trees.py | nadeemshaikh-github/LeetCode | 3fb14aeea62a960442e47dfde9f964c7ffce32be | [
"MIT"
] | 8 | 2015-06-21T15:11:59.000Z | 2022-02-01T11:22:34.000Z | 872 Leaf-Similar Trees.py | nadeemshaikh-github/LeetCode | 3fb14aeea62a960442e47dfde9f964c7ffce32be | [
"MIT"
] | 328 | 2015-06-28T03:10:35.000Z | 2022-03-29T11:05:28.000Z | #!/usr/bin/python3
"""
Consider all the leaves of a binary tree. From left to right order, the values
of those leaves form a leaf value sequence.
For example, in the given tree above, the leaf value sequence is (6, 7, 4, 9,
8).
Two binary trees are considered leaf-similar if their leaf value sequence is the
same.
R... | 25.758621 | 80 | 0.566934 | 965 | 0.645917 | 327 | 0.218876 | 0 | 0 | 0 | 0 | 675 | 0.451807 |
ef49bf29b2b0c7109f207a688a3d0065e565a25b | 332 | py | Python | skp_edu_docker/code/chatbot/common/chat_knowledge_mem_dict.py | TensorMSA/hoyai_docker | 12f0041e6306d8a6421585a4b51666bad30be442 | [
"MIT"
] | 8 | 2017-06-16T00:19:12.000Z | 2020-08-13T03:15:57.000Z | skp_edu_docker/code/chatbot/common/chat_knowledge_mem_dict.py | TensorMSA/tensormsa_docker | 12f0041e6306d8a6421585a4b51666bad30be442 | [
"MIT"
] | 21 | 2017-06-09T10:15:14.000Z | 2018-03-29T07:51:02.000Z | skp_edu_docker/code/chatbot/common/chat_knowledge_mem_dict.py | TensorMSA/hoyai_docker | 12f0041e6306d8a6421585a4b51666bad30be442 | [
"MIT"
] | 4 | 2017-10-25T09:59:53.000Z | 2020-05-07T09:51:11.000Z | class ChatKnowledgeMemDict:
"""
class for storing dict data on the django memory
for speed up dict search action
"""
# cc_id - entitiy_id -value list
ngram = {}
ngram_order = {}
ngram_conf = {}
data = {}
data_conf = {}
data_order = {} #ordered proper_noun
synonym = {}
... | 23.714286 | 53 | 0.581325 | 332 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 154 | 0.463855 |
ef4f605e514f18c935ef699c3ca9417a54b457c9 | 2,465 | py | Python | apollo/auth.py | sorinbiriescu/Apollo_backend | b6fb68a26487a138e7efd691e7fdffaa5042a155 | [
"Apache-2.0"
] | null | null | null | apollo/auth.py | sorinbiriescu/Apollo_backend | b6fb68a26487a138e7efd691e7fdffaa5042a155 | [
"Apache-2.0"
] | null | null | null | apollo/auth.py | sorinbiriescu/Apollo_backend | b6fb68a26487a138e7efd691e7fdffaa5042a155 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime, timedelta
from typing import Optional
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from passlib.context import CryptContext
from apollo.crud import query_first_user
from apollo.main import si... | 30.060976 | 103 | 0.710345 | 0 | 0 | 0 | 0 | 0 | 0 | 951 | 0.385801 | 108 | 0.043813 |
ef519f677beac77f2c2e144f66d4be64d1cbd341 | 200 | py | Python | main.py | Gabriel-ino/Automated-Sticker-Hero | d76952cc35f051b7d9562912f0a063fed6f75068 | [
"MIT"
] | null | null | null | main.py | Gabriel-ino/Automated-Sticker-Hero | d76952cc35f051b7d9562912f0a063fed6f75068 | [
"MIT"
] | null | null | null | main.py | Gabriel-ino/Automated-Sticker-Hero | d76952cc35f051b7d9562912f0a063fed6f75068 | [
"MIT"
] | null | null | null | from App import App
from utils.get_screen_size import get_screen_size
if __name__ == "__main__":
app = App()
h, w, ch = get_screen_size()
while True:
app.proccessing(h, w, ch)
| 16.666667 | 49 | 0.655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.05 |
ef51f52103e4f12bc37feb84f6d66527017f0c6d | 1,836 | py | Python | dgp/core/config_validators.py | dataspot/dgp | 553a255a4884b935cf2efecdc761050232f0f066 | [
"MIT"
] | 1 | 2019-07-17T11:34:27.000Z | 2019-07-17T11:34:27.000Z | dgp/core/config_validators.py | datahq/dgp | f39592ce20ba67b73b08188f14585b6eb3d43f96 | [
"MIT"
] | 2 | 2019-04-30T12:32:32.000Z | 2019-04-30T12:35:26.000Z | dgp/core/config_validators.py | dataspot/dgp | 553a255a4884b935cf2efecdc761050232f0f066 | [
"MIT"
] | null | null | null | class BaseValidator():
MISSING = 0
INVALID = 1
def check(self, config):
raise NotImplementedError()
class Validator(BaseValidator):
def __init__(self, *validators):
self._validators = validators
def check(self, config):
errors = []
for validator in self._validat... | 27.402985 | 113 | 0.606209 | 1,823 | 0.992919 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.046296 |
ef53ba7f982e4f61582b4dfc595af89608ab9da3 | 3,695 | py | Python | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | #!/usr/bin/python2.4
#
# Copyright 2008 Google 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 o... | 33.899083 | 74 | 0.707984 | 2,896 | 0.783762 | 0 | 0 | 0 | 0 | 0 | 0 | 1,010 | 0.273342 |
ef53e0e036cb078d36e154064142222b1dfe4d85 | 608 | py | Python | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | # Download the data you
import os
import tarfile
import requests
def fetch_data(dataset_url):
file_name = dataset_url.split('/')[-1]
dataset_path = os.path.join("datasets", file_name.split('.')[0])
print(dataset_path)
print(f"File name: {file_name.split('.')[0]}")
os.makedirs(dataset_path, exist_o... | 27.636364 | 68 | 0.692434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.157895 |
ef54bb20c88dda93a302698251aa2e77667dc8a2 | 4,526 | py | Python | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | """
A place to implement built-in functions.
We use the bytecode for these when doing cross-version interpreting
"""
from xpython.pyobj import Function, Cell, make_cell
from xdis import codeType2Portable, PYTHON_VERSION, IS_PYPY
def func_code(func):
if hasattr(func, "func_code"):
return func.func_code
... | 32.328571 | 84 | 0.650685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,350 | 0.519222 |
ef58bac3885ae00f40f0903957d207828fe3e0c6 | 857 | py | Python | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | # import the necessary packages
import os
# Set the dataset base path here
BASE_PATH = "/content/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection--/dataset"
# build the path to the annotations and input images
ANNOT_PATH = os.path.sep.join([BASE_PATH, 'annotations'])
IMAGES_PATH = os.path.sep.join([BA... | 35.708333 | 97 | 0.757293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 527 | 0.614936 |
ef593e9168b64350b18b0f9f56ed9f30d578e6cf | 4,199 | py | Python | CiTOCrawler/OC/script/static_lode.py | patmha/CiTOCrawler | 6c5027f42aacc2d250305e5e877bc271470acde5 | [
"BSD-3-Clause"
] | null | null | null | CiTOCrawler/OC/script/static_lode.py | patmha/CiTOCrawler | 6c5027f42aacc2d250305e5e877bc271470acde5 | [
"BSD-3-Clause"
] | null | null | null | CiTOCrawler/OC/script/static_lode.py | patmha/CiTOCrawler | 6c5027f42aacc2d250305e5e877bc271470acde5 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2016, Silvio Peroni <[email protected]>
#
# Permission to use, copy, modify, and/or distribute this software for any purpose
# with or without fee is hereby granted, provided that the above copyright notice
# and this permission notice appear in all copies.
#
# THE SOFTWARE I... | 49.988095 | 112 | 0.635389 | 1,448 | 0.344844 | 0 | 0 | 0 | 0 | 0 | 0 | 1,870 | 0.445344 |
ef59c84efb2830bb4da68800485a32f52a474ab9 | 14,738 | py | Python | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 20 | 2017-05-17T18:43:08.000Z | 2021-02-13T16:20:53.000Z | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 8 | 2017-06-04T17:01:06.000Z | 2022-03-17T12:43:32.000Z | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 1 | 2017-06-04T13:09:19.000Z | 2017-06-04T13:09:19.000Z | import re
import os
from collections import OrderedDict as odict
from .conf import USER_DIR
from .util import cacheattr, setcwd, runsyscmd, logdbg
from . import util
from . import err
_cache_entry = r'^(.*?)(:.*?)=(.*)$'
def hascache(builddir):
c = os.path.join(builddir, 'CMakeCache.txt')
if os.path.exists... | 36.937343 | 125 | 0.519677 | 9,409 | 0.638418 | 0 | 0 | 4,619 | 0.313408 | 0 | 0 | 4,848 | 0.328946 |
ef5a62962aed890737736832f581c39140877b07 | 2,130 | py | Python | Python/Searching/2/quick_select.py | Tikam02/Data_Structure_Algorithms | 7c17f744975a72fa42f0f3f892c0b7e041cdef0c | [
"MIT"
] | 5 | 2017-08-03T06:33:49.000Z | 2021-08-06T13:20:57.000Z | Python/Searching/2/quick_select.py | Tikam02/Data_Structure_Algorithms | 7c17f744975a72fa42f0f3f892c0b7e041cdef0c | [
"MIT"
] | null | null | null | Python/Searching/2/quick_select.py | Tikam02/Data_Structure_Algorithms | 7c17f744975a72fa42f0f3f892c0b7e041cdef0c | [
"MIT"
] | 6 | 2017-04-27T13:30:49.000Z | 2020-11-01T20:28:55.000Z | #!/usr/bin/env python
__author__ = "bt3"
import random
''' The simplest way...'''
def quickSelect(seq, k):
# this part is the same as quick sort
len_seq = len(seq)
if len_seq < 2: return seq
# we could use a random choice here doing
#pivot = random.choice(seq)
ipivot = len_seq // 2
pivo... | 23.932584 | 78 | 0.597653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 654 | 0.307042 |
ef5b7b88dd380eec142de24fd5621ee02381ea01 | 3,744 | py | Python | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | 4 | 2018-02-06T21:15:31.000Z | 2018-07-28T14:00:17.000Z | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | null | null | null | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | 2 | 2020-02-07T18:26:09.000Z | 2020-10-16T15:52:56.000Z | import numpy as np
import cv2
import sys
import os
#######################RGB Image Data Analysis############################################################
###Should follow the data structure of image data: Genotype --> Replicates (Plants) --> Different Views --> Image captured by each Day###
# mfold defines the fol... | 32 | 174 | 0.626603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,321 | 0.352831 |
ef5c0e5ff1790c1367e3395cb63ad1ddf91375ef | 4,620 | py | Python | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 10 | 2019-05-02T14:08:32.000Z | 2021-03-15T16:07:19.000Z | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | null | null | null | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 3 | 2019-05-02T14:08:33.000Z | 2021-02-10T03:47:29.000Z | import numpy as np
from . import vector as V
def rbm_to_dualquat(rbm):
import cgkit.cgtypes as cg
q0 = cg.quat().fromMat(cg.mat3(rbm[:3,:3].T.tolist()))
q0 = q0.normalize()
q0 = np.array([q0.w, q0.x, q0.y, q0.z])
t = rbm[:3, 3]
q1 = np.array([
-0.5*( t[0]*q0[1] + t[1]*q0[2] + t[2]*... | 37.868852 | 104 | 0.515368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,094 | 0.453247 |
ef5cca29cfc460b593d8a2ef7fb0d7625f148237 | 2,214 | py | Python | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | 1 | 2019-12-10T12:27:33.000Z | 2019-12-10T12:27:33.000Z | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | null | null | null | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Team : uyplayer team
# Author： uyplayer
# Date ：2019/11/20 下午4:22
# Tool ：PyCharm
'''
https://blog.csdn.net/c9Yv2cf9I06K2A9E/article/details/79739287
https://msd.misuland.com/pd/13340603045208861
'''
class AttnDecoderRNN(nn.Module):
def __init__(self, hidden_size, output_size, dr... | 41.773585 | 88 | 0.653117 | 2,271 | 0.902623 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.356518 |
ef5e5867ee1d6b8b8d8f0bd5472d8f25ae61b5ab | 497 | py | Python | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | """
Write a Python program that reads a date (from 2016/1/1 to 2016/12/31) and prints the day of the date.
Jan. 1, 2016, is Friday.
Note that 2016 is a leap year.
"""
from datetime import date
print("Input month and date(separated by a single space): ")
m, d = map(int, input().split())
weeks = {1: "Monday", 2: "Tuesda... | 33.133333 | 106 | 0.668008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 327 | 0.657948 |
ef5e8dee6b61a5247d6e4659a6ab926d4b74a1e7 | 347 | py | Python | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | """
题目描述
给定n个字符串，请对n个字符串按照字典序排列。
输入描述:
输入第一行为一个正整数n(1≤n≤1000),下面n行为n个字符串(字符串长度≤100),字符串中只含有大小写字母。
输出描述:
数据输出n行，输出结果为按照字典序排列的字符串。
示例1
输入
9
cap
to
cat
card
two
too
up
boat
boot
输出
boat
boot
cap
card
cat
to
too
two
up
"""
list = []
n = int(input())
for i in range(0, n):
s = input()
list.append(s)
list.sort()
f... | 8.069767 | 58 | 0.674352 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 422 | 0.76588 |
ef5eca1f199c276a6c88e8c9f58fbad72f2074cb | 1,340 | py | Python | sim/cell.py | raalesir/sim | 9bd994b1dedd05ca88ab9f25cbca3bc28cadc04b | [
"MIT"
] | null | null | null | sim/cell.py | raalesir/sim | 9bd994b1dedd05ca88ab9f25cbca3bc28cadc04b | [
"MIT"
] | null | null | null | sim/cell.py | raalesir/sim | 9bd994b1dedd05ca88ab9f25cbca3bc28cadc04b | [
"MIT"
] | null | null | null |
class CubicCell:
"""
represents confining cell for the polymer
"""
def __init__(self, a,b,c):
"""
init the cell
:param a: ``OX`` dimension
:type a: int
:param b: ``OY`` dimension
:type b: int
:param c: ``OZ`` dimension
:type c: int
... | 20.30303 | 129 | 0.506716 | 1,331 | 0.993284 | 0 | 0 | 0 | 0 | 0 | 0 | 712 | 0.531343 |
ef5fbbee42c9df1a0ff003ab57c38b8bb1ccfe30 | 2,558 | py | Python | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | import jsonhandler
from LuyckxFeatures import *
import timblClassification as timbl
import os
import numpy as np
from collections import Counter
def parseC10(c10_path):
jsonhandler.loadJson(c10_path)
jsonhandler.loadTraining()
candidates = jsonhandler.candidates
unknowns = jsonhandler.unknowns
f... | 38.179104 | 86 | 0.670837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 203 | 0.079359 |
ef6043c616af761fa9470ba29ff276fd15c95e0d | 3,133 | py | Python | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | 1 | 2020-08-01T13:42:26.000Z | 2020-08-01T13:42:26.000Z | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | null | null | null | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | 1 | 2021-08-24T14:02:32.000Z | 2021-08-24T14:02:32.000Z | from bs4 import BeautifulSoup
from multiprocessing import Pool
import requests
def lineid(lineno):
lineurl = "http://61.43.246.153/openapi-data/service/busanBIMS2/busInfo?lineno="+lineno+"&serviceKey=0XeO7nbthbiRoMUkYGGah20%2BfXizwc0A6BfjrkL6qhh2%2Fsl8j9PzfSLGKnqR%2F1v%2F%2B6AunxntpLfoB3Ryd3OInQ%3D%3D"
lin... | 27.243478 | 210 | 0.616981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,158 | 0.353804 |
ef60ce6fc063e157d7dfaad93f8114a633854b16 | 4,256 | py | Python | model_training.py | PatriceC/MLProjectISDP2020 | 64e83824690ccde2714d915c70fb00b20aa66a42 | [
"MIT"
] | 1 | 2021-01-23T01:04:00.000Z | 2021-01-23T01:04:00.000Z | model_training.py | cor3ntino/Time-Series-Prediction-with-Deep-Learning-for-Road-Trafic-Data | e8eefdf2e630a53e09f88550357b67732f2bccd0 | [
"MIT"
] | null | null | null | model_training.py | cor3ntino/Time-Series-Prediction-with-Deep-Learning-for-Road-Trafic-Data | e8eefdf2e630a53e09f88550357b67732f2bccd0 | [
"MIT"
] | 1 | 2021-01-19T16:57:27.000Z | 2021-01-19T16:57:27.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 13:54:58 2020
@author: Patrice CHANOL & Corentin MORVAN--CHAUMEIL
"""
import numpy as np
import torch
import time
import visualisation
from datetime import datetime
def main(model, criterion, optimizer, scheduler, data_train_loader, data_test_loader, num_epochs, inp... | 34.322581 | 140 | 0.608083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,593 | 0.373243 |
ef61b3b08001b19237e5f7463a25cc96b621c9fe | 3,679 | py | Python | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | 1 | 2021-01-30T11:50:54.000Z | 2021-01-30T11:50:54.000Z | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | null | null | null | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | 2 | 2021-01-30T11:50:57.000Z | 2021-02-04T15:43:54.000Z | import numpy as np
import pandas as pd
import datetime
def gen_cols(Pad, cur, lag):
currency = list(np.sort(Pad['currency pair'].unique()))
tmp = Pad[Pad['currency pair'] == cur].sort_values(by=['timestamp'])
for i in range(1,lag+1):
colname1 = 'bid_lag_' + str(i)
colname2 = 'ask_lag_' + st... | 37.927835 | 113 | 0.580864 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 601 | 0.16336 |
ef625fbf84f8e46aa31c085f3762960c2186790e | 3,863 | py | Python | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | import math
import os
from argparse import ArgumentParser
import numpy as np
import torch
from pytorch_lightning import Trainer
from pytorch_lightning import seed_everything
from pytorch_lightning.utilities import rank_zero_info
from pytorch_lightning.callbacks import XLAStatsMonitor
from torch.utils.data import Datas... | 36.443396 | 119 | 0.681077 | 1,898 | 0.491328 | 0 | 0 | 0 | 0 | 0 | 0 | 639 | 0.165415 |
ef62a93780f5d22fd2c5c963cb04b78649fda229 | 2,059 | py | Python | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*
import requests
import json
def get_weather(city: str) -> json:
req = requests.get("https://free-api.heweather.net/s6/weather?location="
"{}&key=89d6bbc3861844d59a6313c16448d293".format(city))
json_data = json.loads(req.text, encoding="UTF8")
return json_data
... | 44.76087 | 112 | 0.594463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 841 | 0.38106 |
ef63d9fcd4c7ced9c5506a721a486919e70bacc7 | 2,536 | py | Python | paz/datasets/ferplus.py | niqbal996/paz | f27205907367415d5b21f90e1a1d1d1ce598e889 | [
"MIT"
] | 300 | 2020-10-29T08:02:05.000Z | 2022-03-30T21:47:32.000Z | paz/datasets/ferplus.py | albertofernandezvillan/paz | 9fbd50b993f37e1e807297a29c6044c09967c9cc | [
"MIT"
] | 30 | 2020-10-29T12:40:32.000Z | 2022-03-31T14:06:35.000Z | paz/datasets/ferplus.py | albertofernandezvillan/paz | 9fbd50b993f37e1e807297a29c6044c09967c9cc | [
"MIT"
] | 62 | 2020-10-29T12:34:13.000Z | 2022-03-29T05:21:45.000Z | import os
import numpy as np
from .utils import get_class_names
from ..abstract import Loader
from ..backend.image import resize_image
# IMAGES_PATH = '../datasets/fer2013/fer2013.csv'
# LABELS_PATH = '../datasets/fer2013/fer2013new.csv'
class FERPlus(Loader):
"""Class for loading FER2013 emotion classification... | 39.015385 | 79 | 0.613565 | 2,293 | 0.90418 | 0 | 0 | 0 | 0 | 0 | 0 | 969 | 0.382098 |
ef651d134e566a45ca23483fc6b3987d980d24af | 863 | py | Python | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | 1 | 2021-09-29T11:05:07.000Z | 2021-09-29T11:05:07.000Z | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | null | null | null | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | 1 | 2021-09-29T11:06:32.000Z | 2021-09-29T11:06:32.000Z | from typing import List
class Solution:
def maxArea(self, height: List[int]) -> int:
# We can create "left" and "right" pointers
# the initial width between "l" and "r" is already the maximum
l, r = 0, len(height) - 1
width = r - l
# We can use greedy metho... | 30.821429 | 74 | 0.468134 | 838 | 0.971031 | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 0.399768 |
ef68897796bf15cfbe41f5e79ff37ee0aa7a33e6 | 3,578 | py | Python | src/python/DipSimUtilities.py | ndeybach/DipSim | 091f147f933b000b6ab829ec7d10eef985c260b2 | [
"MIT"
] | null | null | null | src/python/DipSimUtilities.py | ndeybach/DipSim | 091f147f933b000b6ab829ec7d10eef985c260b2 | [
"MIT"
] | null | null | null | src/python/DipSimUtilities.py | ndeybach/DipSim | 091f147f933b000b6ab829ec7d10eef985c260b2 | [
"MIT"
] | null | null | null | # This Python file uses the following encoding: utf-8
"""
MIT License
Copyright (c) 2020 Nils DEYBACH & Léo OUDART
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including ... | 35.425743 | 149 | 0.734768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,982 | 0.553786 |
3226aa7f7ea523e5b462c538450fa0bfe4a22a9b | 1,503 | py | Python | clusterresults/rundr12xpdf10k.py | rohinkumar/CorrelCalc | d7887448af8d3dc3170c00c0aae6ee2561b8a3d5 | [
"MIT"
] | null | null | null | clusterresults/rundr12xpdf10k.py | rohinkumar/CorrelCalc | d7887448af8d3dc3170c00c0aae6ee2561b8a3d5 | [
"MIT"
] | null | null | null | clusterresults/rundr12xpdf10k.py | rohinkumar/CorrelCalc | d7887448af8d3dc3170c00c0aae6ee2561b8a3d5 | [
"MIT"
] | null | null | null | from correlcalc import *
bins = np.arange(0.002,0.062,0.002)
#corrdr12flcdmls=tpcf('/usr3/vstr/yrohin/Downloads/galaxy_DR12v5_CMASS_North.fits',bins,randfile='/usr3/vstr/yrohin/randcat_dr12cmn_2x_pdf10k.dat',estimator='ls',cosmology='lcdm',weights='eq')
print("--------------------------------------------")
corrdr12flcl... | 107.357143 | 204 | 0.685961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,181 | 0.785762 |
3227a055c835557ad7f0f841ab6676069d791695 | 10,965 | py | Python | verify/imagenet.py | CAS-LRJ/DeepPAC | 75059572c23474d32a762aca5640f4d799fd992a | [
"Apache-2.0"
] | null | null | null | verify/imagenet.py | CAS-LRJ/DeepPAC | 75059572c23474d32a762aca5640f4d799fd992a | [
"Apache-2.0"
] | null | null | null | verify/imagenet.py | CAS-LRJ/DeepPAC | 75059572c23474d32a762aca5640f4d799fd992a | [
"Apache-2.0"
] | null | null | null | import torch
from torchvision import transforms
from PIL import Image
import numpy as np
import math
from sklearn.linear_model import LinearRegression
from .grid import Grid, grid_split
import torch.backends.cudnn as cudnn
'''
Global Constants:
TASK_NAME: Name of the verification task (deprecate... | 43.685259 | 188 | 0.639216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,908 | 0.265207 |
322854f1b6ad1bef2a63f035b0bf9ea507c22498 | 5,537 | py | Python | src/main.py | ronikleyton/script-backup-switch-huawei | 80c990afa3561c350823cb96e25174262d8d4ab1 | [
"MIT"
] | null | null | null | src/main.py | ronikleyton/script-backup-switch-huawei | 80c990afa3561c350823cb96e25174262d8d4ab1 | [
"MIT"
] | null | null | null | src/main.py | ronikleyton/script-backup-switch-huawei | 80c990afa3561c350823cb96e25174262d8d4ab1 | [
"MIT"
] | null | null | null | from telnetlib import Telnet
from exception.exceptions import *
from datetime import date
import time
import os
from dotenv import load_dotenv
import json
load_dotenv()
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
f = open(f'{ROOT_DIR}/equipamentos.json')
equipamentos = json.load(f)['equipamentos']
def ma... | 35.722581 | 106 | 0.641683 | 244 | 0.044027 | 0 | 0 | 0 | 0 | 0 | 0 | 1,274 | 0.229881 |
3228d6088055f54b7b82121a3d3e109e936942b3 | 1,623 | py | Python | setup.py | cakebread/musubi | 5b5f1bdf65fe07c14ff7bb2252c278f6ca0c903c | [
"BSD-2-Clause"
] | 5 | 2015-05-18T13:18:26.000Z | 2020-01-14T08:24:08.000Z | setup.py | cakebread/musubi | 5b5f1bdf65fe07c14ff7bb2252c278f6ca0c903c | [
"BSD-2-Clause"
] | null | null | null | setup.py | cakebread/musubi | 5b5f1bdf65fe07c14ff7bb2252c278f6ca0c903c | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
PROJECT = 'musubi'
VERSION = '0.2'
import distribute_setup
distribute_setup.use_setuptools()
from setuptools import setup, find_packages
try:
long_description = open('README.rst', 'rt').read()
except IOError:
long_description = 'Uh oh, we may need a new hard drive.'
setup(
name=PR... | 29.509091 | 73 | 0.590265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 742 | 0.457178 |
3229164df79c432f6f7ad72e86350bc6d3ce6e18 | 1,048 | py | Python | airflow_ml_dags/images/airflow-preprocess/preprocess.py | made-ml-in-prod-2021/holyketzer | f693f2d5fce8cced03873e2b89cbe10617996c64 | [
"MIT"
] | null | null | null | airflow_ml_dags/images/airflow-preprocess/preprocess.py | made-ml-in-prod-2021/holyketzer | f693f2d5fce8cced03873e2b89cbe10617996c64 | [
"MIT"
] | 2 | 2021-05-21T09:09:23.000Z | 2021-06-05T08:13:40.000Z | airflow_ml_dags/images/airflow-preprocess/preprocess.py | made-ml-in-prod-2021/holyketzer | f693f2d5fce8cced03873e2b89cbe10617996c64 | [
"MIT"
] | null | null | null | import os
import pandas as pd
import click
from datetime import date
@click.command("preprocess")
@click.option("--input-dir")
@click.option("--output-dir")
@click.option("--mode")
def preprocess(input_dir: str, output_dir, mode):
if mode == "data":
data = pd.read_csv(os.path.join(input_dir, "data.csv"))... | 29.942857 | 101 | 0.621183 | 0 | 0 | 0 | 0 | 929 | 0.88645 | 0 | 0 | 205 | 0.195611 |
32298c15e29bc9b924d33fac9a984d4c8170430a | 581 | py | Python | estrutura_while/barra-de-progresso.py | BEp0/Estudos_de_Python | da32a01d3f4462b3e6b1b6035106895afe9c7627 | [
"MIT"
] | 1 | 2021-02-15T19:14:44.000Z | 2021-02-15T19:14:44.000Z | estrutura_while/barra-de-progresso.py | BEp0/Estudos_de_Python | da32a01d3f4462b3e6b1b6035106895afe9c7627 | [
"MIT"
] | null | null | null | estrutura_while/barra-de-progresso.py | BEp0/Estudos_de_Python | da32a01d3f4462b3e6b1b6035106895afe9c7627 | [
"MIT"
] | null | null | null | from time import sleep
from sys import stdout
def barra(v):
v = int(v)
print('[ ', end='')
for v in range(0, v):
print(f'-', end='', flush=True)
sleep(0.1)
print(' ]', end='\n')
def calcularNotas():
soma = 0
v = 0
for i in range(0, 2):
nota = float(input(f'\n{i + ... | 17.088235 | 50 | 0.504303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 111 | 0.190395 |
3229bb9f7088946e3efcc3fcbb6cba8d90bd5930 | 4,329 | py | Python | models/show.py | wanderindev/fyyur | acf3a44ce7fae6b24576a320afd447c0595d76e5 | [
"MIT"
] | null | null | null | models/show.py | wanderindev/fyyur | acf3a44ce7fae6b24576a320afd447c0595d76e5 | [
"MIT"
] | null | null | null | models/show.py | wanderindev/fyyur | acf3a44ce7fae6b24576a320afd447c0595d76e5 | [
"MIT"
] | 2 | 2020-07-16T22:02:13.000Z | 2020-11-22T21:16:28.000Z | from datetime import datetime
from sqlalchemy import or_
from app import db
from .mixin import ModelMixin
class Show(db.Model, ModelMixin):
__tablename__ = "shows"
id = db.Column(db.Integer, primary_key=True)
start_time = db.Column(db.DateTime, nullable=False)
artist_id = db.Column(
... | 30.921429 | 74 | 0.495033 | 4,213 | 0.973204 | 0 | 0 | 3,697 | 0.854008 | 0 | 0 | 488 | 0.112728 |
322b0d39d0e86bb9ee65efcc180b2518cde85315 | 2,141 | py | Python | backend/sponsors/migrations/0001_initial.py | marcoacierno/pycon | 2b7b47598c4929769cc73e322b3fce2c89151e21 | [
"MIT"
] | 56 | 2018-01-20T17:18:40.000Z | 2022-03-28T22:42:04.000Z | backend/sponsors/migrations/0001_initial.py | marcoacierno/pycon | 2b7b47598c4929769cc73e322b3fce2c89151e21 | [
"MIT"
] | 2,029 | 2018-01-20T11:37:24.000Z | 2022-03-31T04:10:51.000Z | backend/sponsors/migrations/0001_initial.py | marcoacierno/pycon | 2b7b47598c4929769cc73e322b3fce2c89151e21 | [
"MIT"
] | 17 | 2018-03-17T09:44:28.000Z | 2021-12-27T19:57:35.000Z | # Generated by Django 2.2.4 on 2019-08-30 21:56
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
('conferences', '0007_auto_20190811_1953'),
]
... | 44.604167 | 182 | 0.611397 | 1,960 | 0.91546 | 0 | 0 | 0 | 0 | 0 | 0 | 424 | 0.198038 |
322bb384475b3968baa795c394e1297ef1e165d8 | 156 | py | Python | __init__.py | sacherjj/python-AlienRFID | aaddd846d46cca533dca43c256890c072e8f5ec5 | [
"MIT"
] | 1 | 2021-03-21T13:52:00.000Z | 2021-03-21T13:52:00.000Z | __init__.py | sacherjj/python-AlienRFID | aaddd846d46cca533dca43c256890c072e8f5ec5 | [
"MIT"
] | null | null | null | __init__.py | sacherjj/python-AlienRFID | aaddd846d46cca533dca43c256890c072e8f5ec5 | [
"MIT"
] | 2 | 2015-10-12T10:02:50.000Z | 2020-03-09T13:30:12.000Z | from .alien_config import AlienConfig
from .alien_connection import AlienConnection
from .alien_tag import AlienTag
from .alien_tag_list import AlienTagList | 39 | 45 | 0.878205 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
322bb4e6bc6b91b44404b73d00ac6be4830c39c7 | 658 | py | Python | 01_Hello_PGP/solution.py | 3-24/id0-rsa.pub | 633e974a330d0dc09d37e423168974b7fba69830 | [
"MIT"
] | 1 | 2020-03-29T16:10:54.000Z | 2020-03-29T16:10:54.000Z | 01_Hello_PGP/solution.py | 3-24/id0-rsa.pub | 633e974a330d0dc09d37e423168974b7fba69830 | [
"MIT"
] | null | null | null | 01_Hello_PGP/solution.py | 3-24/id0-rsa.pub | 633e974a330d0dc09d37e423168974b7fba69830 | [
"MIT"
] | null | null | null | from subprocess import run, PIPE
def check(password,filedata):
print("Trying passphrase={:s}".format(password))
cmd = run("gpg --pinentry-mode loopback --passphrase '{:s}' -d {:s}".format(password,filedata), shell=True, stdout=PIPE)
if cmd.returncode == 0:
output = cmd.stdout.decode('utf-8')
... | 24.37037 | 124 | 0.575988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.217325 |
322c0212f8148c0b38508aaf2672d99f9c4007b4 | 8,524 | py | Python | src/apodeixi/text_layout/tests_unit/test_column_layout.py | ChateauClaudia-Labs/apodeixi | dd668e210e92cabc2682ad3049781c06e58e3101 | [
"MIT"
] | null | null | null | src/apodeixi/text_layout/tests_unit/test_column_layout.py | ChateauClaudia-Labs/apodeixi | dd668e210e92cabc2682ad3049781c06e58e3101 | [
"MIT"
] | null | null | null | src/apodeixi/text_layout/tests_unit/test_column_layout.py | ChateauClaudia-Labs/apodeixi | dd668e210e92cabc2682ad3049781c06e58e3101 | [
"MIT"
] | null | null | null | import sys as _sys
import pandas as _pd
from apodeixi.testing_framework.a6i_unit_test import ApodeixiUnitTest
from apodeixi.util.formatting_utils import DictionaryFormatter
from apodeixi.util.a6i_error import ApodeixiError, FunctionalTrace... | 51.660606 | 141 | 0.530737 | 7,859 | 0.921985 | 0 | 0 | 0 | 0 | 0 | 0 | 1,725 | 0.20237 |
322c5954da97025867a532a5c2f025836a221df3 | 944 | py | Python | evolute/operators/mate.py | ysglh/evolute | ea868e5d04e6bb59760a9b6dec709303637b9f10 | [
"MIT"
] | 174 | 2018-08-15T21:48:30.000Z | 2022-03-13T01:34:48.000Z | evolute/operators/mate.py | ysglh/evolute | ea868e5d04e6bb59760a9b6dec709303637b9f10 | [
"MIT"
] | null | null | null | evolute/operators/mate.py | ysglh/evolute | ea868e5d04e6bb59760a9b6dec709303637b9f10 | [
"MIT"
] | 27 | 2018-05-16T16:25:36.000Z | 2021-11-02T20:51:38.000Z | import numpy as np
class MateBase:
def apply(self, ind1, ind2):
pass
def __call__(self, ind1, ind2):
return self.apply(ind1, ind2)
class LambdaMate(MateBase):
def __init__(self, function_ref, **kw):
self.kwargs = kw
self.apply = lambda ind1, ind2: function_ref(ind1, in... | 20.977778 | 80 | 0.635593 | 879 | 0.931144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
322da51e0820f1bb72e55d0a9cb187b9bcde3c32 | 223 | py | Python | LandingPage/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | LandingPage/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | LandingPage/forms.py | Mihai925/EduCoding-Legacy | 7c6de105deb186c3442f8d7f9f1b9f99708f8fb6 | [
"MIT"
] | null | null | null | __author__ = 'varun'
from django import forms
class ContactUsForm(forms.Form):
name = forms.CharField()
email = forms.CharField()
phone = forms.CharField()
message = forms.CharField(widget=forms.Textarea) | 22.3 | 52 | 0.713004 | 174 | 0.780269 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0.03139 |
322e21d79121fc682dbbeaf19bfb0822ed607a7a | 4,236 | py | Python | pru/db/geo/geo_admin.py | euctrl-pru/rt-python | da5d0040e250bd159845a0d43bf0b73eab368863 | [
"MIT"
] | null | null | null | pru/db/geo/geo_admin.py | euctrl-pru/rt-python | da5d0040e250bd159845a0d43bf0b73eab368863 | [
"MIT"
] | null | null | null | pru/db/geo/geo_admin.py | euctrl-pru/rt-python | da5d0040e250bd159845a0d43bf0b73eab368863 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2018 Via Technology Ltd. All Rights Reserved.
# Consult your license regarding permissions and restrictions.
#
"""
Administration operations for the geo db.
"""
import os
import socket
import time
from pru.db.geo.geo_init import load_airspace, remove_all_sectors, tear_down
from pru.db.geo.geo_init i... | 31.377778 | 93 | 0.674929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,890 | 0.446176 |
322f9af92fcd6688ac16683be314d7931fa1f2eb | 4,040 | py | Python | tests/test_autogeometry.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | 1 | 2021-07-02T11:59:07.000Z | 2021-07-02T11:59:07.000Z | tests/test_autogeometry.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | null | null | null | tests/test_autogeometry.py | fabiommendes/easymunk | 420dfc4a006997c47887f6876876249674feb3cd | [
"MIT"
] | 1 | 2022-01-14T20:18:35.000Z | 2022-01-14T20:18:35.000Z | from typing import List, Tuple
import easymunk as a
from easymunk import BB, Vec2d
class TestAutoGeometry:
def test_is_closed(self) -> None:
not_closed: List[Tuple[float, float]] = [(0, 0), (1, 1), (0, 1)]
closed: List[Tuple[float, float]] = [(0, 0), (1, 1), (0, 1), (0, 0)]
assert not a.i... | 28.652482 | 87 | 0.366832 | 3,953 | 0.978465 | 0 | 0 | 0 | 0 | 0 | 0 | 323 | 0.07995 |
32305cc75fdcf32a5f4bd15262b34af9e4f413d5 | 384 | py | Python | api/tests/test_app.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | 13 | 2016-05-03T07:56:43.000Z | 2019-08-03T05:58:58.000Z | api/tests/test_app.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | null | null | null | api/tests/test_app.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | 3 | 2016-06-04T12:49:34.000Z | 2019-04-24T08:51:34.000Z |
def test_client(client):
assert client.get("/").status_code == 200
def test_root(root):
me = root.user.get_me()
assert me["id"] == "root"
assert me["role"] == "root"
def test_user(user):
res = user("guyskk", email="[email protected]")
me = res.user.get_me()
assert me["id"] == "guyskk"... | 21.333333 | 53 | 0.596354 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.226563 |
32306c14bb390e41af15482d3244081bad57ece0 | 13,144 | py | Python | darshan-util/pydarshan/darshan/backend/cffi_backend.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | darshan-util/pydarshan/darshan/backend/cffi_backend.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | darshan-util/pydarshan/darshan/backend/cffi_backend.py | gaocegege/darshan | 2d54cd8ec96d26db23e9ca421df48d2031a4c55e | [
"mpich2"
] | null | null | null | # -*- coding: utf-8 -*-
import cffi
import ctypes
import numpy as np
import pandas as pd
from darshan.api_def_c import load_darshan_header
from darshan.discover_darshan import find_utils
from darshan.discover_darshan import check_version
API_def_c = load_darshan_header()
ffi = cffi.FFI()
ffi.cdef(API_def_c)
lib... | 24.295749 | 137 | 0.614197 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,012 | 0.457395 |
32316e929a4d5ae59c28e0cfefeaa04b18e91623 | 1,017 | py | Python | authApp/views/userDetailView.py | juan-skill/django_vue_bank | 109f3b84086f4520a5220c311d9d3403a7adc3a2 | [
"MIT"
] | null | null | null | authApp/views/userDetailView.py | juan-skill/django_vue_bank | 109f3b84086f4520a5220c311d9d3403a7adc3a2 | [
"MIT"
] | null | null | null | authApp/views/userDetailView.py | juan-skill/django_vue_bank | 109f3b84086f4520a5220c311d9d3403a7adc3a2 | [
"MIT"
] | null | null | null | from django.conf import settings
from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework_simplejwt.backends import TokenBackend
from rest_framework.permissions import IsAuthenticated
from authApp.models.user import User
from authApp.serializers.userSerializer import ... | 39.115385 | 80 | 0.738446 | 680 | 0.668633 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.072763 |
32363a369f2abd8123a3c352cf5267f2cd8f6e3e | 882 | py | Python | pluggklockan.py | Vforsh03/Pluggklockan | 845dbe82476ad3ecd8664b7cd99ce74311b92830 | [
"MIT"
] | null | null | null | pluggklockan.py | Vforsh03/Pluggklockan | 845dbe82476ad3ecd8664b7cd99ce74311b92830 | [
"MIT"
] | null | null | null | pluggklockan.py | Vforsh03/Pluggklockan | 845dbe82476ad3ecd8664b7cd99ce74311b92830 | [
"MIT"
] | null | null | null | import time
def countdown(time_sec, to_do):
while time_sec:
mins, secs = divmod(time_sec, 60)
timeformat = '{:02d}:{:02d}'.format(mins, secs)
print(timeformat, end='\r')
time.sleep(1)
time_sec -= 1
if time_sec == 0:
print("Det här har du att göra: ")
... | 25.941176 | 73 | 0.538549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.25618 |
32364b003eb60db5ffb76e4251c347561207ed8b | 1,397 | py | Python | gallery/views.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | null | null | null | gallery/views.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | 8 | 2021-04-08T21:57:55.000Z | 2022-03-12T00:50:38.000Z | gallery/views.py | mkbeh/Site-Nordic-Walking- | ba98f41db09ed448ecc4db175f65ef4fa2d64979 | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.views.decorators.cache import cache_page
from .models import PhotoAlbum, VideoAlbum
from blog.utils import get_pagination_page
def albums_list(request):
album_specific_data = {'photo': (PhotoAlbum, 'Фото альбомы'), 'video': (VideoAlbum, 'Видео ал... | 32.488372 | 105 | 0.689334 | 0 | 0 | 0 | 0 | 700 | 0.492958 | 0 | 0 | 238 | 0.167606 |
3236d1e8e71e93e12b492398d92736947474b9fb | 2,134 | py | Python | test/test_post.py | enjoy233/zhihu-py3 | bcb4aa8325f8b54d3b44bd0bdc959edd9761fcfc | [
"MIT"
] | 1,321 | 2015-02-16T13:19:42.000Z | 2022-03-25T15:03:58.000Z | test/test_post.py | fru1tw4ter/zhihu-py3 | bcb4aa8325f8b54d3b44bd0bdc959edd9761fcfc | [
"MIT"
] | 64 | 2015-07-03T12:30:08.000Z | 2022-03-01T00:55:50.000Z | test/test_post.py | fru1tw4ter/zhihu-py3 | bcb4aa8325f8b54d3b44bd0bdc959edd9761fcfc | [
"MIT"
] | 551 | 2015-02-22T11:21:40.000Z | 2022-03-25T13:22:13.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import print_function, division, unicode_literals
import unittest
import os
import json
from zhihu import Post
from test_utils import TEST_DATA_PATH
class ColumnTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
url = 'http://zhu... | 34.419355 | 77 | 0.638238 | 1,989 | 0.901632 | 0 | 0 | 851 | 0.385766 | 0 | 0 | 447 | 0.202629 |
32370b765a15f6662dcf75810cbf2bc84feab958 | 69 | py | Python | tensorflow_toolkit/lpr/lpr/__init__.py | morkovka1337/openvino_training_extensions | 846db45c264d6b061505213f51763520b9432ba9 | [
"Apache-2.0"
] | 256 | 2020-09-09T03:27:57.000Z | 2022-03-30T10:06:06.000Z | tensorflow_toolkit/lpr/lpr/__init__.py | morkovka1337/openvino_training_extensions | 846db45c264d6b061505213f51763520b9432ba9 | [
"Apache-2.0"
] | 604 | 2020-09-08T12:29:49.000Z | 2022-03-31T21:51:08.000Z | tensorflow_toolkit/lpr/lpr/__init__.py | morkovka1337/openvino_training_extensions | 846db45c264d6b061505213f51763520b9432ba9 | [
"Apache-2.0"
] | 160 | 2020-09-09T14:06:07.000Z | 2022-03-30T14:50:48.000Z | from tfutils.helpers import import_transformer
import_transformer()
| 17.25 | 46 | 0.869565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3239f81ec2f0770c90334bbc02e94fc7a5de13e9 | 354 | py | Python | torch_lazy/nn/__init__.py | simaki/torch-lazy | e3ce23b118bdf36a019c029a67bf5ec84f89a4d7 | [
"BSD-3-Clause"
] | null | null | null | torch_lazy/nn/__init__.py | simaki/torch-lazy | e3ce23b118bdf36a019c029a67bf5ec84f89a4d7 | [
"BSD-3-Clause"
] | 18 | 2021-04-01T08:24:48.000Z | 2022-03-28T20:18:28.000Z | torch_lazy/nn/__init__.py | simaki/torch-lazy | e3ce23b118bdf36a019c029a67bf5ec84f89a4d7 | [
"BSD-3-Clause"
] | 1 | 2021-07-22T19:29:12.000Z | 2021-07-22T19:29:12.000Z | from .modules.linear import LazyBilinear
from .modules.mlp import MLP
from .modules.mlp import LazyMLP
from .modules.normalization import LazyBatchNorm
from .modules.normalization import LazyBatchNorm1d
from .modules.normalization import LazyBatchNorm2d
from .modules.normalization import LazyBatchNorm3d
from .modules.n... | 39.333333 | 50 | 0.864407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
323a9cf1657540b38e66a69c1561146bd14bceb9 | 874 | py | Python | functest/lmfunctest.py | mitsuba-rei/lightmetrica-v3 | db5b7d5a9a245fb7c0d25124433c38d09b62813e | [
"MIT"
] | 1 | 2019-11-20T13:24:58.000Z | 2019-11-20T13:24:58.000Z | functest/lmfunctest.py | mitsuba-rei/lightmetrica-v3 | db5b7d5a9a245fb7c0d25124433c38d09b62813e | [
"MIT"
] | null | null | null | functest/lmfunctest.py | mitsuba-rei/lightmetrica-v3 | db5b7d5a9a245fb7c0d25124433c38d09b62813e | [
"MIT"
] | null | null | null | import sys
import json
import numpy as np
import imageio
from argparse import Namespace
def loadenv(config_path):
"""Load configuration file of Lightmetrica environment"""
# Open config file
with open(config_path) as f:
config = json.load(f)
# Add root directory and binary directory to sys.pa... | 26.484848 | 87 | 0.662471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.241419 |
323ae527f5aea6328f8ca830f729b3e6114a8c51 | 503 | py | Python | algorithm implement (python)/mergesort.py | yedkk/algorithm-design | 433b70e8302ec91b74542e9144dd93fdb5b0f8d3 | [
"MIT"
] | 2 | 2021-06-01T02:31:06.000Z | 2021-06-01T02:39:45.000Z | algorithm implement (python)/mergesort.py | yedkk/algorithm-design | 433b70e8302ec91b74542e9144dd93fdb5b0f8d3 | [
"MIT"
] | null | null | null | algorithm implement (python)/mergesort.py | yedkk/algorithm-design | 433b70e8302ec91b74542e9144dd93fdb5b0f8d3 | [
"MIT"
] | null | null | null | def getArray():
line = input()
line = line.strip().split(' ')[1:]
s = []
for x in line:
s.append(int(x))
return s
def merge(s1, s2):
n1 = len(s1)
n2 = len(s2)
p1 = 0
p2 = 0
s = []
while(p1 < n1 or p2 < n2):
if(p1 < n1 and (p2 >= n2 or s1[p1] < s2[p2])):
s.append(s1[p1])
p1 += 1
else:
s.a... | 13.236842 | 48 | 0.508946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.021869 |
323b7d2cb5ec3fee745d90ccfecbe50bdd67fcc2 | 1,276 | py | Python | src/CSVtoJSON.py | CloudSevenConsulting/DustyDynamo | 335e9a2efc71ccf42cf9dfc7c13fcf62cd5d9453 | [
"MIT"
] | null | null | null | src/CSVtoJSON.py | CloudSevenConsulting/DustyDynamo | 335e9a2efc71ccf42cf9dfc7c13fcf62cd5d9453 | [
"MIT"
] | null | null | null | src/CSVtoJSON.py | CloudSevenConsulting/DustyDynamo | 335e9a2efc71ccf42cf9dfc7c13fcf62cd5d9453 | [
"MIT"
] | null | null | null | import csv
import json
from pprint import pprint
import os
stockData = ['RIO']
for i in range(0,len(stockData)):
csvfile = open(stockData[i]+'.csv', 'r')
fieldnames = ("NetworkTime","StockID","Open","High", "Low", "Close", "Adj Close", "Volume")
reader = csv.DictReader( csvfile, fieldnames)
data = o... | 29.674419 | 95 | 0.462382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.320533 |
323d0642bd0b2e71b6ea4028021ab212c0e0889f | 700 | py | Python | core/api.py | rastos/Mi-Fit-and-Zepp-workout-exporter | e05dd7321b71dff6a4e2f4794d0d66d4eee2cbfa | [
"MIT"
] | 13 | 2021-04-13T14:27:58.000Z | 2022-02-09T18:32:37.000Z | core/api.py | rastos/Mi-Fit-and-Zepp-workout-exporter | e05dd7321b71dff6a4e2f4794d0d66d4eee2cbfa | [
"MIT"
] | 3 | 2021-06-03T20:27:34.000Z | 2021-06-04T06:24:18.000Z | core/api.py | rastos/Mi-Fit-and-Zepp-workout-exporter | e05dd7321b71dff6a4e2f4794d0d66d4eee2cbfa | [
"MIT"
] | 2 | 2021-06-03T20:29:54.000Z | 2021-08-13T22:28:59.000Z | import requests
class Api:
def __init__(self, token):
self.token = token
def get_history(self):
r = requests.get('https://api-mifit-de2.huami.com/v1/sport/run/history.json', headers={
'apptoken': self.token
}, params={
'source': 'run.mifit.huami.com',
... | 24.137931 | 95 | 0.547143 | 681 | 0.972857 | 0 | 0 | 0 | 0 | 0 | 0 | 183 | 0.261429 |
323d1294966a8fc8cdc72a192c1cd2b6b80bbc84 | 1,431 | py | Python | lib/tools/tools_watch_cub.py | galena503/SCR | d5b6581808b4f2fac775e7ff48b3eef548164ca1 | [
"MIT"
] | null | null | null | lib/tools/tools_watch_cub.py | galena503/SCR | d5b6581808b4f2fac775e7ff48b3eef548164ca1 | [
"MIT"
] | null | null | null | lib/tools/tools_watch_cub.py | galena503/SCR | d5b6581808b4f2fac775e7ff48b3eef548164ca1 | [
"MIT"
] | null | null | null |
import time,sys,os
import subprocess
class Tools_watch_sub():
def check_sub_process(self, SCR, SCRfield):
subs = SCR['sub_process']
command = SCRfield['command']
cmd_l = ['tasklist','/fo','csv']
pid_set = set('')
if command == 'bash':
ps_str = subprocess.Popen... | 23.459016 | 81 | 0.533892 | 856 | 0.577988 | 0 | 0 | 0 | 0 | 0 | 0 | 436 | 0.294396 |
323de0cd069365ae5cc57c4534ae993e3a17cc39 | 7,616 | py | Python | Server/Python/tests/dbsserver_t/unittests/web_t/DBSMigrateModel_t.py | vkuznet/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 8 | 2015-08-14T04:01:32.000Z | 2021-06-03T00:56:42.000Z | Server/Python/tests/dbsserver_t/unittests/web_t/DBSMigrateModel_t.py | yuyiguo/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 162 | 2015-01-07T21:34:47.000Z | 2021-10-13T09:42:41.000Z | Server/Python/tests/dbsserver_t/unittests/web_t/DBSMigrateModel_t.py | yuyiguo/DBS | 14df8bbe8ee8f874fe423399b18afef911fe78c7 | [
"Apache-2.0"
] | 16 | 2015-01-22T15:27:29.000Z | 2021-04-28T09:23:28.000Z | #!/usr/bin/env python
"""
DBS 3 Migrate REST model unittests
The DBS3 Migration Service must be stopped before executing the unittest. In addition, take care
that no instance is running on the same DB. Else the single unittests can happen to fail due to
race conditions with DBS3 Migration Service.
"""
from dbsserver_t... | 55.591241 | 125 | 0.689207 | 6,880 | 0.903361 | 0 | 0 | 1,991 | 0.261423 | 0 | 0 | 2,553 | 0.335215 |
323e018247ff04ecd6fd2937c2a4145cd45afc55 | 844 | py | Python | setup.py | sgang007/audio_chat_client | e2c1caf6ec1a781be0d22f516e55434099514da1 | [
"MIT"
] | null | null | null | setup.py | sgang007/audio_chat_client | e2c1caf6ec1a781be0d22f516e55434099514da1 | [
"MIT"
] | null | null | null | setup.py | sgang007/audio_chat_client | e2c1caf6ec1a781be0d22f516e55434099514da1 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
# from distutils.core import setup
# import py2exe
# import sys
import os
del os.link
# sys.setrecursionlimit(5000)
with open('requirements.txt') as f:
required = f.read().splitlines()
def readme():
with open('README.md') as f:
return f.read()
setup(name=... | 23.444444 | 58 | 0.64455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 314 | 0.372038 |
323e28eb5aa06c996913613c2bfc7c17a0e85d7c | 2,334 | py | Python | kglib/tests/end_to_end/kgcn/diagnosis_debug.py | graknlabs/research | ae3ee07106739efd10f0627058210038ab5956d3 | [
"Apache-2.0"
] | 13 | 2018-09-25T13:29:08.000Z | 2018-12-10T11:04:38.000Z | kglib/tests/end_to_end/kgcn/diagnosis_debug.py | graknlabs/research | ae3ee07106739efd10f0627058210038ab5956d3 | [
"Apache-2.0"
] | 23 | 2018-09-17T20:31:44.000Z | 2018-12-14T11:21:52.000Z | kglib/tests/end_to_end/kgcn/diagnosis_debug.py | graknlabs/research | ae3ee07106739efd10f0627058210038ab5956d3 | [
"Apache-2.0"
] | 1 | 2018-09-25T15:56:32.000Z | 2018-09-25T15:56:32.000Z | #
# Copyright (C) 2021 Vaticle
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Versi... | 42.436364 | 163 | 0.707798 | 1,167 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1,312 | 0.562125 |
324140adbf8ce6a27b7f51c371562021ff506dae | 1,668 | py | Python | python/math_utils.py | PROrock/codin-game-puzzles | a0444719f9a629fc97b1da6f175ecd462a9ff59b | [
"MIT"
] | 1 | 2021-06-16T02:33:57.000Z | 2021-06-16T02:33:57.000Z | python/math_utils.py | PROrock/codin-game-puzzles | a0444719f9a629fc97b1da6f175ecd462a9ff59b | [
"MIT"
] | null | null | null | python/math_utils.py | PROrock/codin-game-puzzles | a0444719f9a629fc97b1da6f175ecd462a9ff59b | [
"MIT"
] | null | null | null | def signum(x):
if x > 0: return 1
if x < 0: return -1
return 0
# copy of Python 3.5 implementation - probably not needed
def isclose(a, b, rel_tol=1e-09, abs_tol=0.0):
return abs(a - b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)
def gcd(a, b):
"""Greatest common divisor"""
return _gcd_in... | 32.076923 | 93 | 0.607914 | 0 | 0 | 871 | 0.522182 | 0 | 0 | 0 | 0 | 604 | 0.36211 |
32426c09b1bd20f92239fee3f6494dab7ae72789 | 2,477 | py | Python | BASS_2_OM_testOnSyntheticData.py | oliviermirat/BASS | fe595fdc60795b09bb6c264b6da914a6e8e0c415 | [
"MIT"
] | 1 | 2020-10-10T11:20:32.000Z | 2020-10-10T11:20:32.000Z | BASS_2_OM_testOnSyntheticData.py | oliviermirat/BASS | fe595fdc60795b09bb6c264b6da914a6e8e0c415 | [
"MIT"
] | null | null | null | BASS_2_OM_testOnSyntheticData.py | oliviermirat/BASS | fe595fdc60795b09bb6c264b6da914a6e8e0c415 | [
"MIT"
] | null | null | null | import sys
sys.path.insert(1, './GR_BASS/BASS_only_original/')
sys.path.insert(1, './GR_BASS/')
import bass as md
import numpy as np
import sys
import bassLibrary as bl
# BASS algorithm parameters
eps = 0.1
p_d = 0.2
Jthr = 0.15
seed = 0
# Creating synthetic data for process BASS on and to learn the GMM model
nbC... | 43.45614 | 355 | 0.749697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 641 | 0.258781 |
3242f191734e1ec3faebeb7b0fb07f008db4254c | 108 | py | Python | auth/view/resource/create_reset_password_request.py | nicolaszein/auth | 90112f1a4d6f368714b19daad7e8a4226594b383 | [
"MIT"
] | null | null | null | auth/view/resource/create_reset_password_request.py | nicolaszein/auth | 90112f1a4d6f368714b19daad7e8a4226594b383 | [
"MIT"
] | null | null | null | auth/view/resource/create_reset_password_request.py | nicolaszein/auth | 90112f1a4d6f368714b19daad7e8a4226594b383 | [
"MIT"
] | null | null | null | from pydantic import BaseModel, EmailStr
class CreateResetPasswordRequest(BaseModel):
email: EmailStr
| 18 | 44 | 0.814815 | 64 | 0.592593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3247a207cdb1e57a605f9bb8949d6c37632fda73 | 3,707 | py | Python | pymt/grids/map.py | mwtoews/pymt | 81a8469b0d0d115d21186ec1d1c9575690d51850 | [
"MIT"
] | null | null | null | pymt/grids/map.py | mwtoews/pymt | 81a8469b0d0d115d21186ec1d1c9575690d51850 | [
"MIT"
] | null | null | null | pymt/grids/map.py | mwtoews/pymt | 81a8469b0d0d115d21186ec1d1c9575690d51850 | [
"MIT"
] | null | null | null | #! /bin/env python
"""
Examples
========
**Rectilinear**
Create a rectilinear grid that is 2x3::
(0) --- (1) --- (2)
| | |
| | |
| [0] | [1] |
| | |
| | |
(3) --- (4) --- (5)
Numbers in parens are node IDs, and numbers in square br... | 23.916129 | 84 | 0.555705 | 2,498 | 0.67386 | 0 | 0 | 0 | 0 | 0 | 0 | 1,631 | 0.439978 |
3247e08ee12a7d9414679491f0b3e5ad060be2e8 | 27,447 | py | Python | jogo.py | AdamastorLinsFrancaNetto/jogo-academic-journey | ad312d255abe23e243ba39732e972cf45f092b08 | [
"MIT"
] | null | null | null | jogo.py | AdamastorLinsFrancaNetto/jogo-academic-journey | ad312d255abe23e243ba39732e972cf45f092b08 | [
"MIT"
] | null | null | null | jogo.py | AdamastorLinsFrancaNetto/jogo-academic-journey | ad312d255abe23e243ba39732e972cf45f092b08 | [
"MIT"
] | null | null | null | import pygame
from conteudo import Conteudo, Nave, Tiro
import random
class Jogo:
def __init__(self):
self.fundo1 = Conteudo("arquivos/espaco.png", 0, 0)
self.fundo2 = Conteudo("arquivos/espaco.png", 0, -960)
self.nave = Nave("arquivos/nave1.png",630,750)
self.comando = Conteudo("a... | 47.651042 | 134 | 0.603709 | 27,372 | 0.997231 | 0 | 0 | 0 | 0 | 0 | 0 | 2,268 | 0.082629 |
32485d3d2f97d8719c9ad7891c585aced9f9c6ac | 1,308 | py | Python | xpresso/binders/dependants.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 75 | 2022-01-18T02:17:57.000Z | 2022-03-24T02:30:04.000Z | xpresso/binders/dependants.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 73 | 2022-01-18T03:01:27.000Z | 2022-03-27T16:41:38.000Z | xpresso/binders/dependants.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 3 | 2022-01-18T22:47:06.000Z | 2022-01-25T02:03:53.000Z | import inspect
import typing
from di.api.dependencies import CacheKey
from di.dependant import Dependant, Marker
from xpresso._utils.typing import Protocol
from xpresso.binders.api import SupportsExtractor, SupportsOpenAPI
T = typing.TypeVar("T", covariant=True)
class SupportsMarker(Protocol[T]):
def register_... | 26.693878 | 70 | 0.683486 | 1,033 | 0.789755 | 0 | 0 | 76 | 0.058104 | 0 | 0 | 15 | 0.011468 |
3248e7edee7a47a71c97765cef8dd8859b78769c | 3,698 | py | Python | test/test_grid_to_triple.py | NCAR/geocat-f2py | fee07e680f61ca2ebfbb33f1554d9d85271fa32a | [
"Apache-2.0"
] | 4 | 2021-02-20T20:02:11.000Z | 2021-11-24T13:35:32.000Z | test/test_grid_to_triple.py | NCAR/geocat-f2py | fee07e680f61ca2ebfbb33f1554d9d85271fa32a | [
"Apache-2.0"
] | 27 | 2020-12-07T17:00:05.000Z | 2022-03-24T16:42:17.000Z | test/test_grid_to_triple.py | NCAR/geocat-f2py | fee07e680f61ca2ebfbb33f1554d9d85271fa32a | [
"Apache-2.0"
] | 4 | 2021-01-07T01:50:11.000Z | 2021-07-07T13:05:42.000Z | import sys
import unittest as ut
import numpy as np
import xarray as xr
# Import from directory structure if coverage test, or from installed
# packages otherwise
if "--cov" in str(sys.argv):
from src.geocat.f2py import grid_to_triple
else:
from geocat.f2py import grid_to_triple
# Size of the grids
ny = 2
mx... | 32.156522 | 124 | 0.635479 | 2,648 | 0.716063 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.064089 |
3249b98ec0603abf9f97a5033a897bd1e2965b76 | 440 | py | Python | Cisco/Python/Modulo_3/for/exercicio1.py | ThiagoKS-7/Python_Essencials_1_cisco | a417747e873f69bb307c4d36205797b191b5b45a | [
"MIT"
] | null | null | null | Cisco/Python/Modulo_3/for/exercicio1.py | ThiagoKS-7/Python_Essencials_1_cisco | a417747e873f69bb307c4d36205797b191b5b45a | [
"MIT"
] | null | null | null | Cisco/Python/Modulo_3/for/exercicio1.py | ThiagoKS-7/Python_Essencials_1_cisco | a417747e873f69bb307c4d36205797b191b5b45a | [
"MIT"
] | null | null | null | def main():
import time
# Write a for loop that counts to five.
# Body of the loop - print the loop iteration number and the word "Mississippi".
# Body of the loop - use: time.sleep(1)
# Write a print function with the final message.
for i in range(5):
print(f'{i + 1} ... | 27.5 | 89 | 0.584091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 269 | 0.611364 |
324db02ef7101b8e262f2ae0d6adf964eaf48e55 | 1,252 | py | Python | scripts/pegasus/build_test_sample_spm_no_bos.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 50,404 | 2019-09-26T09:55:55.000Z | 2022-03-31T23:07:49.000Z | scripts/pegasus/build_test_sample_spm_no_bos.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 13,179 | 2019-09-26T10:10:57.000Z | 2022-03-31T23:17:08.000Z | scripts/pegasus/build_test_sample_spm_no_bos.py | liminghao1630/transformers | 207594be81b8e5a8589c8b11c3b236924555d806 | [
"Apache-2.0"
] | 13,337 | 2019-09-26T10:49:38.000Z | 2022-03-31T23:06:17.000Z | #!/usr/bin/env python
# Copyright 2020 The HuggingFace Team. 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... | 36.823529 | 148 | 0.761182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,160 | 0.926518 |
3252c61f7a71dbc22f9e4a1f7ba0cf98c90f9ea0 | 8,931 | py | Python | pytorch-transformers-extensions/examples/run_inference.py | deepchatterjeevns/nlp_projects | 8ea4a846138da0bcee2970907ea3340b1cdc74cb | [
"MIT"
] | 21 | 2019-07-25T08:39:56.000Z | 2020-12-14T09:59:06.000Z | pytorch-transformers-extensions/examples/run_inference.py | deepchatterjeevns/nlp_projects | 8ea4a846138da0bcee2970907ea3340b1cdc74cb | [
"MIT"
] | 1 | 2019-08-05T03:23:54.000Z | 2019-08-05T03:24:39.000Z | pytorch-transformers-extensions/examples/run_inference.py | deepchatterjeevns/nlp_projects | 8ea4a846138da0bcee2970907ea3340b1cdc74cb | [
"MIT"
] | 15 | 2019-07-31T13:37:14.000Z | 2021-09-28T19:01:27.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, 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 cop... | 46.759162 | 163 | 0.665659 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,532 | 0.283507 |