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5630aada68bd06afa2bf00f8393f4ecb9edd571f | 1,124 | py | Python | alembic/versions/uuid_ids_b6a452c73bc3.py | baverman/telenot | 5b6e3a0ffc78b3a1eef2bb0ebf90244fb2b1ce1e | [
"MIT"
] | null | null | null | alembic/versions/uuid_ids_b6a452c73bc3.py | baverman/telenot | 5b6e3a0ffc78b3a1eef2bb0ebf90244fb2b1ce1e | [
"MIT"
] | null | null | null | alembic/versions/uuid_ids_b6a452c73bc3.py | baverman/telenot | 5b6e3a0ffc78b3a1eef2bb0ebf90244fb2b1ce1e | [
"MIT"
] | 1 | 2020-09-21T14:22:10.000Z | 2020-09-21T14:22:10.000Z | """uuid ids
Revision ID: b6a452c73bc3
Revises: 6df0d5aac594
Create Date: 2017-12-06 20:57:39.660665
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b6a452c73bc3'
down_revision = '6df0d5aac594'
branch_labels = None
depends_on = None
def upgrade():
op.crea... | 28.1 | 83 | 0.66726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 577 | 0.513345 |
5632552890c6924fe604b24e015f930f2f4fff85 | 575 | py | Python | secondary_implementations/python/modules/RedditModule.py | SKsample/shard | 3e581fdaa6be6ecb5b9b21a536ba9e3fb3b396e1 | [
"MIT"
] | 441 | 2016-07-07T11:13:35.000Z | 2022-03-18T03:22:53.000Z | secondary_implementations/python/modules/RedditModule.py | SKsample/shard | 3e581fdaa6be6ecb5b9b21a536ba9e3fb3b396e1 | [
"MIT"
] | 20 | 2016-07-07T14:38:07.000Z | 2020-01-13T19:15:11.000Z | secondary_implementations/python/modules/RedditModule.py | SKsample/shard | 3e581fdaa6be6ecb5b9b21a536ba9e3fb3b396e1 | [
"MIT"
] | 76 | 2016-07-07T14:09:09.000Z | 2020-03-22T04:03:15.000Z | # vim: ts=2 sw=2 noexpandtab
from __future__ import unicode_literals
import requests
from .AbstractModule import AbstractModule
class RedditModule(AbstractModule):
def try_login(self, uname, password):
payload = {
'user': uname,
'passwd': password,
'api_type': 'json'}
headers = {
'user-agent': Abstra... | 25 | 69 | 0.721739 | 418 | 0.726957 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.293913 |
56330ea2eae7358118452b9d5a4b8adbc3462322 | 68 | py | Python | app/src/main/python/youtube_dl/version.py | lprc/simple-dl | 7321a4f62c7188998c0bf5b681e90eddb98eb9aa | [
"MIT"
] | null | null | null | app/src/main/python/youtube_dl/version.py | lprc/simple-dl | 7321a4f62c7188998c0bf5b681e90eddb98eb9aa | [
"MIT"
] | null | null | null | app/src/main/python/youtube_dl/version.py | lprc/simple-dl | 7321a4f62c7188998c0bf5b681e90eddb98eb9aa | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
__version__ = '2020.03.06'
| 17 | 39 | 0.808824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.176471 |
56337b5a8e649c6eb401d664fa33c75392141f25 | 4,469 | py | Python | table_reclass_by_threshold.py | richpsharp/raster_calculations | 28b18c34f49c2c275c46e332d7021a27703053cd | [
"Apache-2.0"
] | null | null | null | table_reclass_by_threshold.py | richpsharp/raster_calculations | 28b18c34f49c2c275c46e332d7021a27703053cd | [
"Apache-2.0"
] | null | null | null | table_reclass_by_threshold.py | richpsharp/raster_calculations | 28b18c34f49c2c275c46e332d7021a27703053cd | [
"Apache-2.0"
] | null | null | null | """Table based reclassify triggered by probability threshold."""
import argparse
import os
import logging
import hashlib
from ecoshard import geoprocessing
from ecoshard import taskgraph
import pandas
import numpy
from osgeo import gdal
gdal.SetCacheMax(2**27)
logging.basicConfig(
level=logging.DEBUG,
format... | 36.631148 | 81 | 0.65876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 985 | 0.220407 |
5633f5fb9e2ed30314c515784fbe70c043b5a858 | 13,887 | py | Python | tests/test_api.py | SonOfLilit/kleenexp | 87e7a6bd5c407499a15abe9b494c6dfe84de60b6 | [
"MIT"
] | 9 | 2021-11-27T20:29:16.000Z | 2022-03-21T09:32:17.000Z | tests/test_api.py | SonOfLilit/kleenexp | 87e7a6bd5c407499a15abe9b494c6dfe84de60b6 | [
"MIT"
] | 1 | 2022-01-03T12:53:43.000Z | 2022-01-03T18:53:56.000Z | tests/test_api.py | SonOfLilit/kleenexp | 87e7a6bd5c407499a15abe9b494c6dfe84de60b6 | [
"MIT"
] | 2 | 2021-12-15T09:16:10.000Z | 2022-01-03T12:32:10.000Z | import pytest
import midas
import ke
import re
def assert_pattern(pattern, matches, not_matches=()):
if isinstance(pattern, str):
pattern = ke.compile(pattern)
for m in matches:
assert pattern.match(m), (pattern, m)
for m in not_matches:
assert not pattern.match(m), (pattern, m)
... | 31.924138 | 426 | 0.557356 | 0 | 0 | 0 | 0 | 396 | 0.028516 | 0 | 0 | 5,680 | 0.409016 |
56341b19d0cc7d858663c40581c0b7957017b17d | 4,173 | py | Python | androguard/misc.py | nawfling/androguard | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | 1 | 2019-03-29T19:24:23.000Z | 2019-03-29T19:24:23.000Z | androguard/misc.py | adiltirur/malware_classification | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | null | null | null | androguard/misc.py | adiltirur/malware_classification | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | null | null | null | from future import standard_library
standard_library.install_aliases()
from androguard import session
from androguard.core.bytecodes.dvm import *
from androguard.decompiler.decompiler import *
from androguard.core.androconf import CONF
def init_print_colors():
from IPython.utils import coloransi, io
androcon... | 32.348837 | 109 | 0.632159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,968 | 0.471603 |
56368197977f246f771575ac14b13fe95e389918 | 31,263 | py | Python | applications/init/controllers/default.py | himelpdas/insightpcmh | 3dfdf5aec7738ed3160491badcbf96b20fb10283 | [
"BSD-3-Clause"
] | null | null | null | applications/init/controllers/default.py | himelpdas/insightpcmh | 3dfdf5aec7738ed3160491badcbf96b20fb10283 | [
"BSD-3-Clause"
] | null | null | null | applications/init/controllers/default.py | himelpdas/insightpcmh | 3dfdf5aec7738ed3160491badcbf96b20fb10283 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# this file is released under public domain and you can use without limitations
# -------------------------------------------------------------------------
# This is a sample controller
# - index is the default action of any application
# - user is required for authentication and authorization
... | 45.308696 | 143 | 0.581486 | 0 | 0 | 0 | 0 | 4,120 | 0.131785 | 0 | 0 | 10,174 | 0.325433 |
563876079d3f5e1179bfb42ae2c1c70daa64503e | 2,582 | py | Python | src/bpp/const.py | iplweb/django-bpp | 85f183a99d8d5027ae4772efac1e4a9f21675849 | [
"BSD-3-Clause"
] | 1 | 2017-04-27T19:50:02.000Z | 2017-04-27T19:50:02.000Z | src/bpp/const.py | mpasternak/django-bpp | 434338821d5ad1aaee598f6327151aba0af66f5e | [
"BSD-3-Clause"
] | null | null | null | src/bpp/const.py | mpasternak/django-bpp | 434338821d5ad1aaee598f6327151aba0af66f5e | [
"BSD-3-Clause"
] | null | null | null | from collections import OrderedDict
from enum import Enum
TO_AUTOR = 0
TO_REDAKTOR = 1
TO_INNY = 2
TO_TLUMACZ = 3
TO_KOMENTATOR = 4
TO_RECENZENT = 5
TO_OPRACOWAL = 6
TO_REDAKTOR_TLUMACZENIA = 7
TYP_OGOLNY_DO_PBN = {
TO_AUTOR: "AUTHOR",
TO_REDAKTOR: "EDITOR",
TO_TLUMACZ: "TRANSLATOR",
TO_REDAKTOR_TLUMA... | 26.346939 | 99 | 0.763362 | 402 | 0.155093 | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 0.285494 |
5639659aa605d44624d092a964d7a713b28f1136 | 16,604 | py | Python | integration_tests/run_e2e_tests.py | elementary-data/dbt-data-reliability | 2b54962950af61a5c83cff5105f4a0197e727beb | [
"Apache-2.0"
] | 11 | 2022-01-26T14:25:47.000Z | 2022-03-10T10:22:31.000Z | integration_tests/run_e2e_tests.py | elementary-data/dbt-data-reliability | 2b54962950af61a5c83cff5105f4a0197e727beb | [
"Apache-2.0"
] | 1 | 2022-01-27T05:00:29.000Z | 2022-01-28T11:42:32.000Z | integration_tests/run_e2e_tests.py | elementary-data/dbt-data-reliability | 2b54962950af61a5c83cff5105f4a0197e727beb | [
"Apache-2.0"
] | 2 | 2022-03-02T18:40:23.000Z | 2022-03-08T15:56:34.000Z | import csv
from datetime import datetime, timedelta
import random
import string
import os
from os.path import expanduser
from pathlib import Path
from monitor.dbt_runner import DbtRunner
import click
any_type_columns = ['date', 'null_count', 'null_percent']
FILE_DIR = os.path.dirname(__file__)
def generate_date_ran... | 49.861862 | 134 | 0.675982 | 0 | 0 | 0 | 0 | 1,254 | 0.075524 | 0 | 0 | 3,294 | 0.198386 |
563a4921fb61340d4b8b99bfe1684f0fe71aff68 | 105 | py | Python | botaclan/helpers/lists.py | bataclanofficial/botaclan | 93f8ccab4f29c50a395a588b7779431eab8625e8 | [
"Apache-2.0"
] | null | null | null | botaclan/helpers/lists.py | bataclanofficial/botaclan | 93f8ccab4f29c50a395a588b7779431eab8625e8 | [
"Apache-2.0"
] | null | null | null | botaclan/helpers/lists.py | bataclanofficial/botaclan | 93f8ccab4f29c50a395a588b7779431eab8625e8 | [
"Apache-2.0"
] | null | null | null | from typing import List, T
def get_first_item(items: List[T]) -> T:
return next(iter(items), None)
| 17.5 | 40 | 0.685714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
563acc285f6bb6d32cc9472259e3ac6433995b1c | 1,956 | py | Python | resources/lib/routes/animesearch.py | jdollarKodi/plugin.video.animepie | 874e58e153e2df53e5a47ec963584de16584ae52 | [
"MIT"
] | null | null | null | resources/lib/routes/animesearch.py | jdollarKodi/plugin.video.animepie | 874e58e153e2df53e5a47ec963584de16584ae52 | [
"MIT"
] | null | null | null | resources/lib/routes/animesearch.py | jdollarKodi/plugin.video.animepie | 874e58e153e2df53e5a47ec963584de16584ae52 | [
"MIT"
] | null | null | null | import requests
import logging
import math
import xbmcaddon
from xbmcgui import ListItem
from xbmcplugin import addDirectoryItem, endOfDirectory
from resources.lib.constants.url import BASE_URL, SEARCH_PATH
from resources.lib.router_factory import get_router_instance
from resources.lib.routes.episodelist import episode... | 30.092308 | 111 | 0.618609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.114519 |
563ba6e4672f710916b63d283194a3ba338b6e13 | 605 | py | Python | setup.py | zachriggle/arm_now | 62a6ea32407f97c6129d810af7da6a12162ba73f | [
"MIT"
] | 3 | 2018-08-02T21:12:17.000Z | 2019-09-16T12:37:07.000Z | setup.py | zachriggle/arm_now | 62a6ea32407f97c6129d810af7da6a12162ba73f | [
"MIT"
] | null | null | null | setup.py | zachriggle/arm_now | 62a6ea32407f97c6129d810af7da6a12162ba73f | [
"MIT"
] | 2 | 2020-01-09T18:10:46.000Z | 2022-01-18T19:06:52.000Z | from setuptools import setup, Extension
setup(name='arm_now',
version='1.2',
author='@chaign_c',
url='https://github.com/nongiach/arm_now',
packages=['arm_now'],
py_modules=['arm_now'],
entry_points = {
'console_scripts': [
'arm_now = arm_now:... | 26.304348 | 72 | 0.452893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.350413 |
563cde578c182b51e4e7d365b885a0e62d9ab264 | 2,095 | py | Python | expresspec/read_data.py | alexji/expresspec | eadc7dba20d7ccd78174f7d4f32c7ff13545c316 | [
"MIT"
] | null | null | null | expresspec/read_data.py | alexji/expresspec | eadc7dba20d7ccd78174f7d4f32c7ff13545c316 | [
"MIT"
] | null | null | null | expresspec/read_data.py | alexji/expresspec | eadc7dba20d7ccd78174f7d4f32c7ff13545c316 | [
"MIT"
] | null | null | null | from astropy.table import Table
from collections import OrderedDict
import numpy as np
from .spectrum import Spectrum1D
from copy import deepcopy
from scipy import signal
def read_expres(fname, full_output=False, as_arrays=False, as_order_dict=False, as_raw_table=False):
if full_output:
raise NotImplemente... | 32.230769 | 100 | 0.607637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.134606 |
563e1dc93625ecb24de9882d6fb7672e51e4500d | 9,664 | py | Python | Projects/ABM_DA/bussim/A03_calibration.py | RobertClay/DUST-RC | 09f7ec9d8d093021d068dff8a7a48c15ea318b86 | [
"MIT"
] | 15 | 2018-11-21T14:57:24.000Z | 2022-03-04T15:42:09.000Z | Projects/ABM_DA/bussim/A03_calibration.py | RobertClay/DUST-RC | 09f7ec9d8d093021d068dff8a7a48c15ea318b86 | [
"MIT"
] | 125 | 2019-11-06T13:03:35.000Z | 2022-03-07T13:38:33.000Z | Projects/ABM_DA/bussim/A03_calibration.py | RobertClay/DUST-RC | 09f7ec9d8d093021d068dff8a7a48c15ea318b86 | [
"MIT"
] | 6 | 2018-11-20T15:56:49.000Z | 2021-10-08T10:21:06.000Z | # -*- coding: utf-8 -*-
"""
This code evaluates the outputs from calibrated BusSim
@author: geomlk
"""
import numpy as np
import matplotlib.pyplot as plt
import pickle
import os
os.chdir("/Users/minhkieu/Documents/Github/dust/Projects/ABM_DA/bussim/")
'''
Step 1: Load calibration results
'''
def load_calibrated_param... | 45.158879 | 119 | 0.627276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,101 | 0.217405 |
563f17c503aa91de61cc1f7b7afc9304efcf0e5a | 596 | py | Python | lib/opencavity/help.py | giomalt/SLM_hologram_generation | 74ad38be8fe17c710856b2508389cd8c9f1ee77a | [
"MIT"
] | 3 | 2021-02-24T12:55:01.000Z | 2021-03-19T02:19:25.000Z | lib/opencavity/help.py | giomalt/SLM_hologram_generation | 74ad38be8fe17c710856b2508389cd8c9f1ee77a | [
"MIT"
] | null | null | null | lib/opencavity/help.py | giomalt/SLM_hologram_generation | 74ad38be8fe17c710856b2508389cd8c9f1ee77a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 15 feb. 2015
@author: mohamed seghilani
'''
import opencavity
import webbrowser
import platform
#if __name__ == '__main__':
def launch():
help_path=opencavity.__file__
if platform.system()=='Windows':
separator='\\'
else:
separator='/'
... | 22.074074 | 60 | 0.654362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.322148 |
56415df55959a03e911d73640e65d94b304b6856 | 161 | py | Python | pybamm/models/submodels/thermal/__init__.py | manjunathnilugal/PyBaMM | 65d5cba534b4f163670e753714964aaa75d6a2d2 | [
"BSD-3-Clause"
] | 330 | 2019-04-17T11:36:57.000Z | 2022-03-28T16:49:55.000Z | pybamm/models/submodels/thermal/__init__.py | masoodtamaddon/PyBaMM | a31e2095600bb92e913598ac4d02b2b6b77b31c1 | [
"BSD-3-Clause"
] | 1,530 | 2019-03-26T18:13:03.000Z | 2022-03-31T16:12:53.000Z | pybamm/models/submodels/thermal/__init__.py | masoodtamaddon/PyBaMM | a31e2095600bb92e913598ac4d02b2b6b77b31c1 | [
"BSD-3-Clause"
] | 178 | 2019-03-27T13:48:04.000Z | 2022-03-31T09:30:11.000Z | from .base_thermal import BaseThermal
from .isothermal import Isothermal
from .lumped import Lumped
from .x_full import OneDimensionalX
from . import pouch_cell
| 26.833333 | 37 | 0.84472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5641f0fd6f31eed051b1b8fdfd70047f7ef7c686 | 463 | py | Python | lib/blockchain/jmcorgan.py | FuzzyBearBTC/counterpartyd | 0733463249b71901daba5d73c7b30a334860bb0a | [
"MIT"
] | 1 | 2020-10-15T06:42:34.000Z | 2020-10-15T06:42:34.000Z | lib/blockchain/jmcorgan.py | FuzzyBearBTC/counterpartyd | 0733463249b71901daba5d73c7b30a334860bb0a | [
"MIT"
] | null | null | null | lib/blockchain/jmcorgan.py | FuzzyBearBTC/counterpartyd | 0733463249b71901daba5d73c7b30a334860bb0a | [
"MIT"
] | null | null | null | '''
http://insight.bitpay.com/
'''
import logging
import requests
import time
from lib import config, exceptions, util
bitcoin_rpc_session = None
def check():
return True
def searchrawtransactions(address):
unconfirmed = util.unconfirmed_transactions(address)
rawtransactions = util.rpc('searchrawtransac... | 23.15 | 81 | 0.742981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.155508 |
56423cd4c21ed76ea69621b3620013d136b5be98 | 4,876 | py | Python | Temp/ProductManager.py | bregydoc/Laigo | f0c843bd648cf591e33574c441aee9fbbb8682ea | [
"MIT"
] | null | null | null | Temp/ProductManager.py | bregydoc/Laigo | f0c843bd648cf591e33574c441aee9fbbb8682ea | [
"MIT"
] | null | null | null | Temp/ProductManager.py | bregydoc/Laigo | f0c843bd648cf591e33574c441aee9fbbb8682ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
def getHotProducts(url):
if "adafruit" in url:
r = requests.get(url)
featuredProducts = []
if r.status_code == 200:
body = r.text
bPage = BeautifulSoup(body, "html.parser", f... | 66.794521 | 352 | 0.553527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,564 | 0.320755 |
564286566a89b40797a3f75a9f3fdf67dede75df | 569 | py | Python | merchant/urls.py | Pesenin-Team/pesenin-2.0 | 883468e6b6d7e3a24bc2ee60bbc7063117745424 | [
"MIT"
] | null | null | null | merchant/urls.py | Pesenin-Team/pesenin-2.0 | 883468e6b6d7e3a24bc2ee60bbc7063117745424 | [
"MIT"
] | null | null | null | merchant/urls.py | Pesenin-Team/pesenin-2.0 | 883468e6b6d7e3a24bc2ee60bbc7063117745424 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
app_name = 'merchant'
urlpatterns = [
path('', views.merchant, name='merchant'),
path('makanan', views.makanan, name='makanan'),
path('makanan/search_makanan', views.search_makanan, name='search_makanan'),
path('search_merchant', views.search_m... | 37.933333 | 81 | 0.70123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 196 | 0.344464 |
5642bea2a4d006a16cb5dc638961e8224156c351 | 1,049 | py | Python | src/worker/worker.py | cemsbr/flask-cpu-tasks | 2cb0c2d17794d8c7413633a304baf35ce7de2c51 | [
"MIT"
] | 1 | 2018-02-04T18:19:07.000Z | 2018-02-04T18:19:07.000Z | src/worker/worker.py | cemsbr/flask-cpu-tasks | 2cb0c2d17794d8c7413633a304baf35ce7de2c51 | [
"MIT"
] | null | null | null | src/worker/worker.py | cemsbr/flask-cpu-tasks | 2cb0c2d17794d8c7413633a304baf35ce7de2c51 | [
"MIT"
] | null | null | null | """Worker application.
It calls an external slow task and send its output, line by line, as "log"
events through SocketIO. The web page will then print the lines.
"""
# Disable the warning because eventlet must patch the standard library as soon
# as possible.
from communication import (CELERY,
... | 29.138889 | 78 | 0.673975 | 0 | 0 | 0 | 0 | 308 | 0.293613 | 0 | 0 | 478 | 0.455672 |
5643917f5c9c7a15f272cc44625b2354347918f3 | 536 | py | Python | app/auth.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | app/auth.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | app/auth.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | #! /usr/bin/env python2.7
# -*- coding: latin-1 -*-
from database import User
from database import ApiKey
from flask_principal import Permission
from flask_principal import RoleNeed
admin_permission = Permission(RoleNeed('admin'))
def map_api_key_to_user(key):
"""
Take an input of an API key and return a Use... | 21.44 | 58 | 0.686567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.33209 |
564798546d70fb989e7e5fe9ad82aeed6358914e | 1,173 | py | Python | list_gh_contributions/query.py | seanbreckenridge/list_gh_contributions | 13091ecf3c1e34d650ec5449ca693890af41fc3d | [
"MIT"
] | 2 | 2021-01-17T10:07:41.000Z | 2021-04-24T22:44:56.000Z | list_gh_contributions/query.py | seanbreckenridge/list_gh_contributions | 13091ecf3c1e34d650ec5449ca693890af41fc3d | [
"MIT"
] | 3 | 2021-01-17T05:34:40.000Z | 2021-03-04T08:24:30.000Z | list_gh_contributions/query.py | seanbreckenridge/list_gh_contributions | 13091ecf3c1e34d650ec5449ca693890af41fc3d | [
"MIT"
] | null | null | null | """
Queries in this module have a shared 'after' query,
which lets Graphql paginate
"""
from gql import gql # type: ignore[import]
query_contributed_to: gql = gql(
r"""query ($after: String) {
viewer {
repositoriesContributedTo(first: 100, after: $after, contributionTypes: [COMMIT, ISSUE, PULL_REQUEST, RE... | 16.521127 | 120 | 0.495311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,074 | 0.915601 |
564e73deb5725930bc5cf0b682535387843bd361 | 2,032 | py | Python | python/gribfile.py | weathersource/grib_api | 24e3bb60800b6488103c0b85293f4fe9b3be77c4 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2017-03-30T08:31:14.000Z | 2020-09-17T07:35:45.000Z | python/gribfile.py | weathersource/grib_api | 24e3bb60800b6488103c0b85293f4fe9b3be77c4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | python/gribfile.py | weathersource/grib_api | 24e3bb60800b6488103c0b85293f4fe9b3be77c4 | [
"ECL-2.0",
"Apache-2.0"
] | 6 | 2017-07-30T14:42:12.000Z | 2020-09-23T20:37:43.000Z | """
``GribFile`` class that implements a GRIB file that closes itself and its
messages when it is no longer needed.
Author: Daniel Lee, DWD, 2014
"""
import gribapi
from gribmessage import GribMessage
class GribFile(file):
"""
A GRIB file handle meant for use in a context manager.
Individual messages c... | 30.787879 | 79 | 0.614173 | 1,826 | 0.898622 | 0 | 0 | 0 | 0 | 0 | 0 | 1,195 | 0.588091 |
564e9d2f5c1a74be0f81910150ed2deb006e658d | 2,525 | py | Python | vnprovinces/migrations/0002_add_provinces.py | dduong42/django-vnprovinces | 06eb5522d75e882eaf3dc911ba658cd2b354a8e4 | [
"MIT"
] | null | null | null | vnprovinces/migrations/0002_add_provinces.py | dduong42/django-vnprovinces | 06eb5522d75e882eaf3dc911ba658cd2b354a8e4 | [
"MIT"
] | null | null | null | vnprovinces/migrations/0002_add_provinces.py | dduong42/django-vnprovinces | 06eb5522d75e882eaf3dc911ba658cd2b354a8e4 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.4 on 2019-02-21 03:11
from django.db import migrations
provinces = (
('Hà Nội', 'Thành Phố'),
('Hà Giang', 'Tỉnh'),
('Cao Bằng', 'Tỉnh'),
('Bắc Kạn', 'Tỉnh'),
('Tuyên Quang', 'Tỉnh'),
('Lào Cai', 'Tỉnh'),
('Điện Biên', 'Tỉnh'),
('Lai Châu', 'Tỉnh'),
('Sơn ... | 26.302083 | 78 | 0.521188 | 191 | 0.068141 | 0 | 0 | 0 | 0 | 0 | 0 | 1,467 | 0.523368 |
564f92d435e931088cb6bd29d3c1bab009096fee | 239 | py | Python | Practice/Python/MapAndLambdaFunction.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | 1 | 2018-07-08T15:44:15.000Z | 2018-07-08T15:44:15.000Z | Practice/Python/MapAndLambdaFunction.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | null | null | null | Practice/Python/MapAndLambdaFunction.py | avantikasharma/HackerRank-Solutions | a980859ac352688853fcbcf3c7ec6d95685f99ea | [
"MIT"
] | 2 | 2018-08-10T06:49:34.000Z | 2020-10-01T04:50:59.000Z | cube = lambda x: pow(x,3)
def fibonacci(n):
l=list()
if n==0:
l=[]
elif n==1:
l=[0]
else:
l=[0,1]
for i in range(2,n):
num=l[i-1]+l[i-2]
l.append(num)
return 1
| 17.071429 | 29 | 0.389121 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
56515a1fa5265b9401ddb7b285541574d7aa9756 | 804 | py | Python | ML/TensorFlow/Basics/tutorial17-tensorboard/5_tb_graph.py | xuyannus/Machine-Learning-Collection | 6d5dcd18d4e40f90e77355d56a2902e4c617ecbe | [
"MIT"
] | 3,094 | 2020-09-20T04:34:31.000Z | 2022-03-31T23:59:46.000Z | ML/TensorFlow/Basics/tutorial17-tensorboard/5_tb_graph.py | xkhainguyen/Machine-Learning-Collection | 425d196e9477dbdbbd7cc0d19d29297571746ab5 | [
"MIT"
] | 79 | 2020-09-24T08:54:17.000Z | 2022-03-30T14:45:08.000Z | ML/TensorFlow/Basics/tutorial17-tensorboard/5_tb_graph.py | xkhainguyen/Machine-Learning-Collection | 425d196e9477dbdbbd7cc0d19d29297571746ab5 | [
"MIT"
] | 1,529 | 2020-09-20T16:21:21.000Z | 2022-03-31T21:16:25.000Z | import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
import io
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
import tensorflow_datasets as tfds
from tensorflow import keras
from tensorflow.keras import layers
# Make sure we don't get any GPU errors
physical_devices = tf.config.list_physic... | 22.333333 | 74 | 0.746269 | 0 | 0 | 0 | 0 | 70 | 0.087065 | 0 | 0 | 120 | 0.149254 |
5651a5988f1a40d8d84c86f66a6de01ecbb914b9 | 361 | py | Python | fabfile.py | ptigas/antihoax | 0e12ade67a9feee54061eac2d43eaccab3924e6a | [
"MIT"
] | 3 | 2015-08-06T00:05:06.000Z | 2017-01-16T15:59:41.000Z | fabfile.py | ptigas/antihoax | 0e12ade67a9feee54061eac2d43eaccab3924e6a | [
"MIT"
] | null | null | null | fabfile.py | ptigas/antihoax | 0e12ade67a9feee54061eac2d43eaccab3924e6a | [
"MIT"
] | null | null | null | from fabric.api import *
env.user = 'ptigas'
env.hosts = ['hocus.io']
def deploy():
with cd('repos/hocus'):
run('git pull')
with cd('repos/hocus/webapp'):
run('composer install')
with cd('repos/hocus'):
run('rsync -rv --exclude=vendor webapp/* ~/Sites/hocus.io/')
run('cp -r ~/Sites/hocus.io/settings.... | 22.5625 | 79 | 0.65097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.606648 |
565251327ee0a8f38bb41a346c65b4fe497ff914 | 949 | py | Python | src/logics/entityIndexerLogic.py | mdmuidulalam/little-search-navigator-indexer | 025539aa3a1a403f516f45c6a8601d237895ae3e | [
"MIT"
] | 1 | 2020-12-19T06:42:54.000Z | 2020-12-19T06:42:54.000Z | src/logics/entityIndexerLogic.py | mdmuidulalam/little-search-navigator-indexer | 025539aa3a1a403f516f45c6a8601d237895ae3e | [
"MIT"
] | null | null | null | src/logics/entityIndexerLogic.py | mdmuidulalam/little-search-navigator-indexer | 025539aa3a1a403f516f45c6a8601d237895ae3e | [
"MIT"
] | null | null | null | from src.helpers.staticHelper import StaticHelper
from src.routes.interfaces.iEntityIndexerLogic import IEntityIndexerLogic
from src.logics.interfaces.iIndexingAlgorithm import IIndexingAlgorithm
from src.logics.interfaces.iEntityData import IEntityData
class EntityIndexerLogic(IEntityIndexerLogic):
def __init__(s... | 43.136364 | 87 | 0.758693 | 692 | 0.729189 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.221286 |
5655be4e2b47674fc1874d360bbc03ea8fef9a3b | 377 | py | Python | hostel/models.py | Web-Team-IITI-Gymkhana/gymkhana_server | 67f4eba9dc0a55de04b3006ffeb5f608086b89ce | [
"MIT"
] | null | null | null | hostel/models.py | Web-Team-IITI-Gymkhana/gymkhana_server | 67f4eba9dc0a55de04b3006ffeb5f608086b89ce | [
"MIT"
] | 4 | 2022-01-14T12:31:33.000Z | 2022-01-28T10:25:44.000Z | hostel/models.py | Web-Team-IITI-Gymkhana/gymkhana_server | 67f4eba9dc0a55de04b3006ffeb5f608086b89ce | [
"MIT"
] | null | null | null | from server.connection import Base
from sqlalchemy import Column, String
from sqlalchemy.dialects.postgresql import UUID
class Hostel(Base):
__tablename__ = "hostel"
id = Column(UUID(as_uuid=True), primary_key=True)
name = Column(String(255), nullable=False)
description = Column(String(255), nullable=... | 26.928571 | 53 | 0.732095 | 253 | 0.671088 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.02122 |
56572951cdbd706ef85de0b8777578cddbef4cf9 | 2,047 | py | Python | odps/df/backends/optimize/utils.py | Emersonxuelinux/aliyun-odps-python-sdk | 0b38c777711c95ed1775fa67822febf88fc3d642 | [
"Apache-2.0"
] | null | null | null | odps/df/backends/optimize/utils.py | Emersonxuelinux/aliyun-odps-python-sdk | 0b38c777711c95ed1775fa67822febf88fc3d642 | [
"Apache-2.0"
] | null | null | null | odps/df/backends/optimize/utils.py | Emersonxuelinux/aliyun-odps-python-sdk | 0b38c777711c95ed1775fa67822febf88fc3d642 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2017 Alibaba Group Holding Ltd.
#
# 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/LICENS... | 34.694915 | 83 | 0.629213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 630 | 0.307767 |
5659bca9797572b75efd680fe7b26dc41264ab05 | 892 | py | Python | setup.py | truveris/arrow | 1624fd20d296bff197ea6a08385e1d234220484c | [
"Apache-2.0"
] | null | null | null | setup.py | truveris/arrow | 1624fd20d296bff197ea6a08385e1d234220484c | [
"Apache-2.0"
] | null | null | null | setup.py | truveris/arrow | 1624fd20d296bff197ea6a08385e1d234220484c | [
"Apache-2.0"
] | null | null | null | try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name='arrow',
version='0.4.4',
description='Better dates and times for Python',
url='http://crsmithdev.com/arrow',
author='Chris Smith',
author_email="crsmithdev@gmail.com",
license='Apache... | 27.875 | 70 | 0.610987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 491 | 0.550448 |
565c37bb80f2d86759c5fa9c22ae78a191b901e0 | 3,061 | py | Python | test/test_stock.py | vikramrajsitpal/yayFinPy | a532da5161973b39f53306fa6b57149ca042ac28 | [
"Apache-2.0"
] | null | null | null | test/test_stock.py | vikramrajsitpal/yayFinPy | a532da5161973b39f53306fa6b57149ca042ac28 | [
"Apache-2.0"
] | null | null | null | test/test_stock.py | vikramrajsitpal/yayFinPy | a532da5161973b39f53306fa6b57149ca042ac28 | [
"Apache-2.0"
] | null | null | null | from typing import List
from decimal import Decimal
from yayFinPy.stock import Stock
import pandas as pd
def test_constructor():
try:
stock = Stock("AAPL")
assert(stock != None)
return 1
except Exception as e:
print("Test Failed: test_constructor: ", e)
return 0
def test_constructor_failure():
try:
stock... | 24.685484 | 74 | 0.704998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.157138 |
565dfbf75306a316f72db1f51facc9031f0feace | 3,184 | py | Python | src/the_teleop/TheTeleop.py | NuenoB/TheTeleop | 57e3f745d391743fac408fb44bf20ffad945aa19 | [
"BSD-3-Clause"
] | null | null | null | src/the_teleop/TheTeleop.py | NuenoB/TheTeleop | 57e3f745d391743fac408fb44bf20ffad945aa19 | [
"BSD-3-Clause"
] | null | null | null | src/the_teleop/TheTeleop.py | NuenoB/TheTeleop | 57e3f745d391743fac408fb44bf20ffad945aa19 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
import os
import rospy
import rospkg
from readbag import restore
from qt_gui.plugin import Plugin
from python_qt_binding.QtCore import Qt
from python_qt_binding import loadUi
from python_qt_binding.QtGui import QFileDialog, QGraphicsView, QIcon, QWidget
from PyQt4 import QtGui, QtCore
from exam... | 31.524752 | 107 | 0.737123 | 2,820 | 0.885678 | 0 | 0 | 0 | 0 | 0 | 0 | 1,539 | 0.483354 |
565e96a6d98c5992001beec0122786d45a48e5c3 | 955 | py | Python | setup.py | BlaXpirit/flask-simplesqla | 26ef7644f64839733475dbf227d4ec720b108306 | [
"BSD-3-Clause"
] | null | null | null | setup.py | BlaXpirit/flask-simplesqla | 26ef7644f64839733475dbf227d4ec720b108306 | [
"BSD-3-Clause"
] | null | null | null | setup.py | BlaXpirit/flask-simplesqla | 26ef7644f64839733475dbf227d4ec720b108306 | [
"BSD-3-Clause"
] | null | null | null | from distutils.core import setup
setup(
name='Flask-SimpleSQLA',
version='1.0',
url='http://github.com/blaxpirit/flask-simplesqla',
license='BSD',
author="Oleh Prypin",
author_email='blaxpirit@gmail.com',
description="Extension providing basic support of SQLAlchemy in Flask applications",
... | 31.833333 | 88 | 0.623037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 0.612565 |
5660372ec7b8f27123eb6cd1329246a86aba84f8 | 7,879 | py | Python | Day20/Day20.py | EllAchE/aoc2020LastPlace | ad3650b3909b1231c9c931b7d85ce842d30e3d15 | [
"MIT"
] | 1 | 2021-12-04T01:06:18.000Z | 2021-12-04T01:06:18.000Z | Day20/Day20.py | logan-credera/aoc2020LastPlace | ad3650b3909b1231c9c931b7d85ce842d30e3d15 | [
"MIT"
] | null | null | null | Day20/Day20.py | logan-credera/aoc2020LastPlace | ad3650b3909b1231c9c931b7d85ce842d30e3d15 | [
"MIT"
] | null | null | null | # --- Day 20: Jurassic Jigsaw ---
# The high-speed train leaves the forest and quickly carries you south. You can even see a desert in the distance!
# Since you have some spare time, you might as well see if there was anything interesting in the image the Mythical
# Information Bureau satellite captured.
#
# After deco... | 24.468944 | 126 | 0.486864 | 713 | 0.090494 | 0 | 0 | 0 | 0 | 0 | 0 | 4,467 | 0.56695 |
56628c54f6542fcfadf155107dcfc82a5c903211 | 11,248 | py | Python | old_commandSkills.py | tomasruizt/dads | 90652ca92b813301ed731186f29f05e885bc117d | [
"Apache-2.0"
] | null | null | null | old_commandSkills.py | tomasruizt/dads | 90652ca92b813301ed731186f29f05e885bc117d | [
"Apache-2.0"
] | null | null | null | old_commandSkills.py | tomasruizt/dads | 90652ca92b813301ed731186f29f05e885bc117d | [
"Apache-2.0"
] | null | null | null | import logging
import os
import pickle
from typing import NamedTuple
import gym
from gym import Wrapper, GoalEnv
from gym.wrappers import FlattenObservation, TimeLimit, TransformReward, FilterObservation
from runstats import Statistics
import torch
from envs.gym_mujoco.custom_wrappers import DropGoalEnvsAbsoluteLocat... | 36.75817 | 107 | 0.674876 | 7,071 | 0.628198 | 0 | 0 | 0 | 0 | 0 | 0 | 577 | 0.051262 |
56634cb9015c3fca756d9ed11738ca8195395704 | 3,727 | py | Python | torecsys/inputs/base/image_inp.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 92 | 2019-08-15T11:03:50.000Z | 2022-03-12T01:21:05.000Z | torecsys/inputs/base/image_inp.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 3 | 2020-03-11T08:57:50.000Z | 2021-01-06T01:39:47.000Z | torecsys/inputs/base/image_inp.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 16 | 2019-10-12T11:28:53.000Z | 2022-03-28T14:04:12.000Z | from typing import List, Optional, TypeVar
import torch
import torch.nn as nn
from torecsys.inputs.base import BaseInput
class ImageInput(BaseInput):
"""
Base Input class for image, which embed image by a stack of convolution neural network (CNN)
and fully-connect layer.
"""
ImageInputs = TypeVa... | 38.030612 | 106 | 0.581701 | 3,601 | 0.966193 | 0 | 0 | 0 | 0 | 0 | 0 | 1,749 | 0.469278 |
566467ac5da574abf21d4a1577d72293c60ca80a | 31,259 | py | Python | optimus/infer.py | Pcosmin/Optimus | ef3306d1b752bbfb1959ddb9103786acb8e9b9ba | [
"Apache-2.0"
] | 1 | 2020-09-22T13:04:37.000Z | 2020-09-22T13:04:37.000Z | optimus/infer.py | rafaelang/Optimus | 809088f41588c968b2e30210f98a494a497b07ff | [
"Apache-2.0"
] | null | null | null | optimus/infer.py | rafaelang/Optimus | 809088f41588c968b2e30210f98a494a497b07ff | [
"Apache-2.0"
] | null | null | null | # This file need to be send to the cluster via .addPyFile to handle the pickle problem
# This is outside the optimus folder on purpose because it cause problem importing optimus when using de udf.
# This can not import any optimus file unless it's imported via addPyFile
import datetime
import math
import os
import re
f... | 27.324301 | 133 | 0.55632 | 6,869 | 0.219044 | 0 | 0 | 6,064 | 0.193374 | 0 | 0 | 10,707 | 0.341433 |
56652a7a9ad8a080d50971b9bce49832c3f1c49d | 6,853 | py | Python | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 15 | 2020-01-17T16:45:09.000Z | 2022-01-18T08:44:16.000Z | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 3 | 2020-12-01T07:34:57.000Z | 2021-08-09T23:07:19.000Z | util.py | jacklxc/ScientificDiscourseTagging | d75514b631b95d39451abd2396f57c3da1c19801 | [
"Apache-2.0"
] | 2 | 2019-05-30T18:52:09.000Z | 2020-06-01T13:36:33.000Z | import codecs
import numpy
import glob
import re
from sklearn.metrics import f1_score
def read_passages(filename, is_labeled):
str_seqs = []
str_seq = []
label_seqs = []
label_seq = []
for line in codecs.open(filename, "r", "utf-8"):
lnstrp = line.strip()
if lnstrp == "":
... | 34.265 | 121 | 0.59069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 581 | 0.08478 |
5667c67a21bb9a3e1bab52388c65b4ea9c28eb56 | 364 | py | Python | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | crawler/1_read_and_compact.py | carpedm20/critic-of-critics | 3695c1c038af08fe2ea7c2e64b05e75759d6777e | [
"BSD-3-Clause"
] | null | null | null | import json
from glob import glob
data = []
for fname in ['critic-0.jsonlines']+glob('*new*.jsonlines'):
print fname
with open(fname) as f:
for line in f:
data.append(json.loads(line))
new_data = []
for i in data:
if i['imdb_mid'] != -1:
new_data.append(i)
with open('compact.... | 19.157895 | 60 | 0.598901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.175824 |
5669105e25d30b05664f89f0df0423f50da1ae02 | 2,965 | py | Python | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 298 | 2015-01-31T11:43:22.000Z | 2022-03-15T02:18:21.000Z | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 359 | 2015-01-17T16:56:42.000Z | 2022-02-08T05:27:08.000Z | examples/Kane1985/Chapter6/Ex11.5.py | nouiz/pydy | 20c8ca9fc521208ae2144b5b453c14ed4a22a0ec | [
"BSD-3-Clause"
] | 109 | 2015-02-03T13:02:45.000Z | 2021-12-21T12:57:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Exercise 11.5 from Kane 1985."""
from __future__ import division
from sympy import expand, solve, symbols, trigsimp
from sympy import sin, tan, pi
from sympy.physics.mechanics import Point, ReferenceFrame, RigidBody
from sympy.physics.mechanics import dot, dynamicsymbol... | 31.88172 | 74 | 0.66914 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 589 | 0.198651 |
566a183503f12d2d76263243546091eed83cab3c | 3,706 | py | Python | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 420 | 2015-01-03T11:34:46.000Z | 2022-03-10T07:15:41.000Z | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 735 | 2015-01-04T21:22:51.000Z | 2022-03-31T09:26:07.000Z | seahub/drafts/utils.py | weimens/seahub | 5ecf78ed7a2ddc72a23961804ee41be21c24893f | [
"Apache-2.0"
] | 379 | 2015-01-05T17:08:03.000Z | 2022-03-06T00:11:50.000Z | import hashlib
import os
import logging
import posixpath
from seaserv import seafile_api
from seahub.utils import normalize_file_path, check_filename_with_rename
from seahub.tags.models import FileUUIDMap
logger = logging.getLogger(__name__)
def create_user_draft_repo(username, org_id=-1):
repo_name = 'Drafts... | 28.953125 | 92 | 0.658662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 323 | 0.087156 |
566d06f55eb168bd0c5dd0836c75fd3bf4352b95 | 781 | py | Python | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | 1 | 2020-07-13T17:28:27.000Z | 2020-07-13T17:28:27.000Z | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | null | null | null | Questions/Airline Iternary/solution.py | leander-dsouza/Abhyudaya_2020 | 54ec7608c5caa14310b635ac8e8b090156ca0ea4 | [
"MIT"
] | null | null | null | def get_itinerary(flights, starting_point, current_itinerary):
if not flights:
return current_itinerary + [starting_point]
updated_itinerary = None
for index, (city_1, city_2) in enumerate(flights):
if starting_point == city_1:
child_itinerary = get_itinerary(
f... | 31.24 | 98 | 0.653009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.015365 |
566d5c200e2aef246e18708df545abf4a5788862 | 1,233 | py | Python | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 1 | 2021-09-17T12:54:56.000Z | 2021-09-17T12:54:56.000Z | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 42 | 2021-08-20T14:09:48.000Z | 2021-09-25T12:51:04.000Z | backend/app/snowflake.py | GJCav/wy-rsv | 705c1d97bbf1d2d8e29ef113928644236e4d8c60 | [
"MIT"
] | 2 | 2021-08-21T15:37:53.000Z | 2021-09-17T12:54:59.000Z | import threading
import time
def _stamp():
return int(time.time()*1000)
_base = int(time.mktime(time.strptime('2020-1-1', '%Y-%m-%d'))*1000)
class Snowflake():
def __init__(self, machine: int = 0):
self.machine = machine & 0b11111
self._mutex = threading.Lock()
self._lstTime = _stamp... | 22.833333 | 68 | 0.514193 | 734 | 0.595296 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.103812 |
566dacd3762055b1031b88c7abeee1f2fb17e4a3 | 1,878 | py | Python | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 4 | 2018-02-11T07:58:10.000Z | 2020-02-03T19:51:29.000Z | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 32 | 2018-08-13T15:42:45.000Z | 2019-08-15T00:30:55.000Z | examples/geneexpr_3tube.py | ayush9pandey/txtlsim-python | d788aab4540f3b43e570047f650ea08d206ecdb2 | [
"BSD-3-Clause"
] | 4 | 2018-04-30T19:50:45.000Z | 2018-08-28T16:10:49.000Z | # geneexpr.py - simple gene expression example
# Richard M. Murray, 11 Aug 2018
#
# This example shows how to use the txtl library to create a model for
# a simple gene expression construct. This model is constructed to
# demonstrate the ability to mimic the MATLAB TX-TL modeling toolbox
# approach as well as a few si... | 32.947368 | 77 | 0.755059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 0.625666 |
566e601ac7f314a0c7263784d0d159ced84a93ad | 201 | py | Python | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | src/expression_evaluator/operators/basic/in_operator.py | Xett/expression_evaluator | eca895d79f015843a262e9636b86c6dd3d06a69d | [
"MIT"
] | null | null | null | from expression_evaluator.token import *
class InOperator(BasicOperator):
symbols = ['in']
priority = PriorityLevel.String
@classmethod
def _function(cls, a, b):
return a in b | 22.333333 | 40 | 0.681592 | 159 | 0.791045 | 0 | 0 | 64 | 0.318408 | 0 | 0 | 4 | 0.0199 |
566e992466a08d95a9769f7efc588017224e9ab9 | 2,632 | py | Python | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | SubShift.py | nsaftarli/SubShift | fa1ac906b569fb7dd238e0241b84cd20c1ba2387 | [
"MIT"
] | null | null | null | import re
import numpy as np
def timestamp_to_num(ts):
num_list = []
ts_list = re.split('[:,]', ts)
for i in ts_list:
num_list.append(int(i))
return np.array(num_list)
def main(filename, delta, output, direction):
buff = []
# Read file
with open(filename, 'r') as f:
conte... | 24.37037 | 84 | 0.612082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 357 | 0.135638 |
56700bfa5388728c85765f29f5c4e7e6f06cee4a | 962 | py | Python | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | apps/userprofile/forms.py | amirahanisadlin/LearnDjangoVue | a9dd2f2123601b17668f08f593ece9bf8d27856c | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
class SignUpForm(UserCreationForm):
first_name = forms.CharField(max_length=50, required=True)
last_name = forms.CharField(max_length=50, required=True)
email = forms.EmailField(max_l... | 43.727273 | 91 | 0.674636 | 837 | 0.870062 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.216216 |
56707ce7ef82994c6105b84839758860eff4cf9f | 11,991 | py | Python | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 11 | 2018-11-09T15:47:14.000Z | 2021-08-18T18:05:11.000Z | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 5 | 2018-08-31T15:07:20.000Z | 2020-03-30T18:52:04.000Z | gcn/lib/databases/annotate_clinvar_vcf.py | kalon33/divine | 2db92c093d98722f011224140e652c162a4f4336 | [
"Intel"
] | 1 | 2019-04-18T13:42:30.000Z | 2019-04-18T13:42:30.000Z | #
# COPYRIGHT (C) 2002-2011 Rajgopal Srinivasan and modified by changjin.hong@gmail.com
#
"""
.. module:: preprocess_clinvar
:platform: Unix, Windows, MacOSX
:synopsis: Transparent opening of compressed and uncompressed files
.. moduleauthor:: ; changjin.hong@gmail.com
"""
import os, dill, re, argparse
from gcn.li... | 32.584239 | 164 | 0.68835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,478 | 0.290051 |
56708965d6fec056a956b940dd9b227f3d8fbfd4 | 8,820 | py | Python | dist_train/workers/baseline.py | victorcampos7/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | 30 | 2020-02-16T15:52:59.000Z | 2022-03-22T10:54:54.000Z | dist_train/workers/baseline.py | imatge-upc/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | null | null | null | dist_train/workers/baseline.py | imatge-upc/edl | ffdf23d4e102ca7d69a1408bafa267b0c7d8bfa0 | [
"MIT"
] | 7 | 2020-02-16T15:53:05.000Z | 2022-01-18T03:41:03.000Z | # Copyright (c) 2019, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: MIT
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/MIT
import os
import json
import time
import torch
import numpy as np
from dist_train.utils.shared_optim import SharedAdam a... | 37.372881 | 113 | 0.625057 | 8,368 | 0.948753 | 0 | 0 | 0 | 0 | 0 | 0 | 1,319 | 0.149546 |
5670f35e40b02807226db734417e790c3490e50a | 779 | py | Python | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | Python/[6 kyu] simple prime streaming.py | KonstantinosAng/CodeWars | 9ec9da9ed95b47b9656a5ecf77f486230fd15e3a | [
"MIT"
] | null | null | null | # see https://www.codewars.com/kata/5a908da30025e995880000e3/solutions/python
from TestFunction import Test
def prime_series(number):
is_prime = lambda number: all( number%i != 0 for i in range(2, int(number**.5)+1) )
ret = ''
for n in range(2, number):
if is_prime(n) == True:
ret += str(n)
re... | 29.961538 | 85 | 0.679076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.186136 |
567114ba199318d542e09eb261fb42b250b3ecc5 | 707 | py | Python | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | 1 | 2016-03-26T19:30:38.000Z | 2016-03-26T19:30:38.000Z | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | 1 | 2018-05-25T13:30:46.000Z | 2018-05-25T13:30:46.000Z | tests/benchmarks/gendata.py | simonwittber/fibra | 1761ba79cb643b0392bb82d7e80ce9e55bb75275 | [
"Unlicense"
] | null | null | null | from pygooglechart import Chart
from pygooglechart import SimpleLineChart
from pygooglechart import Axis
try:
import stackless
except ImportError:
stackless = None
import timeit
import gc
results = dict()
RANGE = range(0, 100000, 10000)[1:]
if stackless:
libs = ["stacklessb", "fibrab", "kamaeliab"]
else:... | 22.09375 | 110 | 0.643564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.173975 |
5672916d34e9bf0fa027e7668987fc3274ffeb22 | 7,445 | py | Python | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | code/training/i_vector_extraction.py | oananovac/Speaker_Recognition_System | 526eb2467190efeeeb2256849f53cde648b3a294 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.linalg import eigh
import voice_activity_detector
import features_extraction
import statistics
import utils
def get_sigma(ubm, space_dimension):
sigma = np.zeros(shape=(len(ubm.covariances) * len(ubm.covariances[0])))
k = 0
for i in range(len(ubm.covariances[0])):
fo... | 33.236607 | 92 | 0.58724 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.047146 |
56740050a83aa6e9a33739148e341b329b34dce8 | 1,412 | py | Python | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | 8 | 2016-12-03T09:36:46.000Z | 2019-04-18T00:16:45.000Z | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | null | null | null | uploadhandler/uploadhandler.py | Kendubu1/tornado-file-upload | 18933347e75179725018f06f784672b85c058e7e | [
"Apache-2.0"
] | 3 | 2016-12-17T16:34:27.000Z | 2021-09-03T16:05:51.000Z | # Handles file uploads in Python Tornado: http://tornadoweb.org/
import tornado.web
import logging
import os
import uuid
def uuid_naming_strategy(original_name):
"File naming strategy that ignores original name and returns an UUID"
return str(uuid.uuid4())
class UploadHandler(tornado.web.RequestHandler):
... | 32.837209 | 75 | 0.63102 | 1,141 | 0.808074 | 0 | 0 | 0 | 0 | 0 | 0 | 520 | 0.368272 |
56756d9a6a2f6b3681bd9d47482a96048107979e | 947 | py | Python | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | 106 | 2018-10-10T18:04:02.000Z | 2022-03-11T06:32:38.000Z | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | null | null | null | Anaconda-files/Program_15d.py | arvidl/dynamical-systems-with-applications-using-python | db747f550337a7e7ec4a0851b188dd6e2e816a64 | [
"BSD-2-Clause"
] | 54 | 2018-02-06T09:47:42.000Z | 2022-03-25T15:41:43.000Z | # Program 15d: Plotting a Newton fractal.
# See Figure 15.7.
from PIL import Image
width = height = 512
image = Image.new('RGB', (width, height))
xmin, xmax = -1.5, 1.5
ymin, ymax = -1.5, 1.5
max_iter = 20
h = 1e-6 # Step size
eps = 1e-3 # Maximum error
def f(z):
return z**3 - 1.0 # Complex function.
# Dra... | 26.305556 | 71 | 0.531151 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 0.253432 |
5675e78e6bff192c2a34c289667d015bc90abcc8 | 870 | py | Python | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | 1 | 2015-06-22T16:08:38.000Z | 2015-06-22T16:08:38.000Z | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | 1 | 2020-09-08T20:38:24.000Z | 2020-09-08T20:38:24.000Z | bonga.py | AfonsoFGarcia/BigBongaClock | bc75f27d7f37a989e2efb417b74f1adfc2821c94 | [
"MIT"
] | null | null | null | import time
import tweepy as twitter
import os
superhour = time.localtime().tm_hour
hour = superhour % 12
if hour == 0:
hour = 12
sentence = "Tenho %d lágrima%s no canto do mostrador, %s nos Açores%s"
if superhour >= 12:
if hour == 1:
sentence = sentence % (hour, "", "12 lágrimas", "")
else:
sentence = sente... | 26.363636 | 71 | 0.705747 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 0.245434 |
5677a8de826460d6b3962eb6561558b2f7259736 | 244 | py | Python | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | cachex/decorator/CacheParameters.py | malversoft/cachex | 8b4d5086c9553c50e91470a2e9a635bf22cde68d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .CacheDefaults import CacheDefaults
from ..caches.AbstractCacheParameters import AbstractCacheParameters
class CacheParameters(AbstractCacheParameters):
"""Decorator parameters."""
_defaults = CacheDefaults()
| 22.181818 | 68 | 0.786885 | 105 | 0.430328 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.204918 |
5679b4a709d6dc06439e297747d31c23263a2fac | 1,816 | py | Python | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | newserver.py | pedrohhcunha/Encryption-system | 2d1be01ab00e3e089f4db2ba391b1d294fbc8a72 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# import thread
import threading
import os.path
import random
import hashlib
import socket
import time
import os
import copy
import socket
letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
host = ''
port = 9093
pega_mensagem = ''
addr = (host, port)
serv_socket = socket.socket(socket.AF_INET, socket.SOCK_... | 28.825397 | 65 | 0.675661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 367 | 0.202093 |
567a8d53d6704bf2e4cecf0cfc3ed0d482c3d55a | 71,934 | py | Python | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | 3 | 2021-06-28T09:45:58.000Z | 2021-09-13T02:16:50.000Z | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | 29 | 2021-06-22T08:58:37.000Z | 2022-02-13T21:35:02.000Z | ohsomeTools/gui/OhsomeToolsDialogUI.py | GIScience/ohsome-qgis-plugin | acd4811e9e36ed35e3fe62c063b5c990a8b795f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'OhsomeToolsDialogUI.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import ... | 50.622097 | 587 | 0.681375 | 71,558 | 0.994469 | 0 | 0 | 0 | 0 | 0 | 0 | 13,615 | 0.189213 |
567c444373e2af7552606978f05a112fd3fb6f08 | 13,282 | bzl | Python | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 14 | 2021-12-04T11:15:40.000Z | 2022-03-01T23:05:38.000Z | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 6 | 2021-12-13T06:32:16.000Z | 2022-02-28T14:44:38.000Z | swc/cli_repositories.bzl | aspect-build/rules_swc | 7e5aad0cce6db87e272b1bd2c6537a2cf016d4d6 | [
"Apache-2.0"
] | 2 | 2021-12-14T09:35:12.000Z | 2021-12-24T16:31:14.000Z | "@generated by @aspect_rules_js//npm/private:npm_translate_lock.bzl from pnpm lock file @aspect_rules_swc@aspect_rules_swc//swc:pnpm-lock.yaml"
load("@aspect_rules_js//npm:npm_import.bzl", "npm_import")
def npm_repositories():
"Generated npm_import repository rules corresponding to npm packages in @aspect_rules_s... | 32.957816 | 143 | 0.518973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,069 | 0.456934 |
567f65f38faefff2b824b29b2ea7a8229dd32be4 | 8,294 | py | Python | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 17 | 2019-01-18T12:45:38.000Z | 2021-12-03T19:55:25.000Z | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 3 | 2018-06-27T19:08:21.000Z | 2019-12-18T09:29:11.000Z | model/networks.py | ifding/dynamic-analysis-firmware | 4d786c2280527ff38ba615974dd227c4f44c93b2 | [
"MIT"
] | 7 | 2018-07-28T17:58:23.000Z | 2021-01-02T17:16:20.000Z | """
Neural network modules for WaveNet
References :
https://arxiv.org/pdf/1609.03499.pdf
https://github.com/ibab/tensorflow-wavenet
https://qiita.com/MasaEguchi/items/cd5f7e9735a120f27e2a
https://github.com/musyoku/wavenet/issues/4
"""
import torch
import numpy as np
from utils.exceptions import Input... | 31.777778 | 103 | 0.618278 | 7,945 | 0.957921 | 0 | 0 | 549 | 0.066192 | 0 | 0 | 2,603 | 0.313841 |
56804b24fb35ab2abb9bf99473495ce4e51fa000 | 3,643 | py | Python | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | 1 | 2022-01-28T09:42:20.000Z | 2022-01-28T09:42:20.000Z | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | null | null | null | metrics/f2_structured_metadata.py | MaastrichtU-IDS/fair-enough-metrics | deb238a84385e1f94c0e2321b4b3ebdc231094d3 | [
"MIT"
] | 1 | 2022-01-29T03:39:37.000Z | 2022-01-29T03:39:37.000Z | import requests
import yaml
from fair_test import FairTest, FairTestEvaluation
class MetricTest(FairTest):
metric_path = 'f2-structured-metadata'
applies_to_principle = 'F2'
title = 'Metadata is structured'
description = """Tests whether a machine is able to find structured metadata. This could be (fo... | 52.042857 | 201 | 0.639308 | 3,561 | 0.977491 | 0 | 0 | 0 | 0 | 0 | 0 | 2,186 | 0.600055 |
56812e1d2c9fb35b48bbbc87de532ca4299da390 | 1,017 | py | Python | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | tests/runtime/redis/test_redis.py | igboyes/virtool-workflow | 1ef9a4b0bada1963ff9be0470dfe74b32c9e7ccf | [
"MIT"
] | null | null | null | import asyncio
from virtool_workflow_runtime._redis import connect, VIRTOOL_JOBS_CHANNEL, job_id_queue
from virtool_workflow_runtime.runtime import execute_from_redis
JOB_IDs = [str(n) for n in range(3)]
async def assert_correct_job_ids():
queue = job_id_queue()
for id_ in JOB_IDs:
_id = await queue.... | 28.25 | 87 | 0.73353 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.782694 | 20 | 0.019666 |
5682d231d05f403a7946e9e6799b2532460eca4a | 928 | py | Python | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | null | null | null | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | 2 | 2020-12-28T19:37:16.000Z | 2020-12-28T19:37:31.000Z | src/probnum/filtsmooth/statespace/discrete/discretemodel.py | admdev8/probnum | 792b6299bac247cf8b1b5056756f0f078855d83a | [
"MIT"
] | null | null | null | import abc
from probnum.filtsmooth.statespace.transition import Transition
__all__ = ["DiscreteModel"]
class DiscreteModel(Transition):
"""
Transition models for discretely indexed processes.
Transformations of the form
.. math:: x_{t + \\Delta t} \\sim p(x_{t + \\Delta t} | x_t) .
As such, ... | 24.421053 | 73 | 0.685345 | 820 | 0.883621 | 0 | 0 | 321 | 0.345905 | 0 | 0 | 459 | 0.494612 |
56835f197330807710a910c73580f2e27a16947f | 8,934 | py | Python | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | examples/temp_bubbles/plot_sweep_results.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | '''This plots the bubble results
'''
from pickle import load
from numpy import array, atleast_2d, hstack, where, zeros
from matplotlib.pyplot import close, subplots
from examples.temp_bubbles.common import DataObject
from seaborn import heatmap
no_i_vals = 3
no_j_vals = 3
peaks_1 = zeros((no_i_vals,no_j_vals))
peaks_... | 42.542857 | 130 | 0.71323 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,062 | 0.118872 |
5683642aced3575289798f545fc9efd887e19acc | 3,363 | py | Python | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 11 | 2015-09-29T07:48:30.000Z | 2019-05-05T20:44:48.000Z | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 5 | 2016-10-16T00:30:18.000Z | 2022-02-12T20:04:11.000Z | dustmaker/cmd/thumbnail.py | msg555/dustmaker | 8ce54e7e6b29af75d72ca42051881df26624b6fc | [
"Apache-2.0"
] | 3 | 2016-10-15T20:51:03.000Z | 2019-03-21T03:31:47.000Z | #!/usr/bin/env python3
"""
Sample script to extract and set level thumbnails.
"""
import argparse
import io
import os
import sys
from dustmaker import DFReader, DFWriter
from dustmaker.cmd.common import (
run_utility,
CliUtility,
)
from dustmaker.variable import VariableBool
class Thumbnail(CliUtility):
... | 30.297297 | 96 | 0.549509 | 3,009 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 769 | 0.228665 |
568434517b25ee3fdda6d9fdafd843bc88f238d6 | 2,591 | py | Python | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 833 | 2016-09-08T13:27:36.000Z | 2022-03-27T07:10:48.000Z | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 528 | 2016-05-23T09:17:04.000Z | 2022-03-30T12:45:50.000Z | src/e2e_tests/general/test_main_page.py | tomgilbertson/script-server-v1 | bbdf289d3d993a0c81f20c36bce5f3eb064b0261 | [
"Apache-2.0",
"CC0-1.0"
] | 214 | 2016-09-08T14:46:41.000Z | 2022-03-25T01:04:14.000Z | from common.pages import Page
import allure
from common.pages import is_displayed, is_enabled, is_disabled
from delayed_assert import expect, assert_expectations
from allure import severity, severity_level
@severity(severity_level.CRITICAL)
@allure.title("Check presented elements on main page")
def test_home_page(bro... | 47.981481 | 101 | 0.766113 | 0 | 0 | 0 | 0 | 2,377 | 0.917406 | 0 | 0 | 691 | 0.266692 |
5684408b6c388d68319ade18652fa15a6c742db7 | 714 | py | Python | backend/mono-back/User.py | sotapmc/Monologue | d2dcd3ab1fcd67e92b24495ee2472c08f5532741 | [
"Apache-2.0"
] | 5 | 2020-04-18T17:23:18.000Z | 2021-04-05T04:50:03.000Z | backend/mono-back/User.py | sotapmc/Monologue | d2dcd3ab1fcd67e92b24495ee2472c08f5532741 | [
"Apache-2.0"
] | 11 | 2020-04-22T03:40:25.000Z | 2021-05-01T02:45:12.000Z | backend/mono-back/User.py | Subilan/Monologue | 7f81a933fb123f4d87acc07fa10b845ef13ec56c | [
"Apache-2.0"
] | 1 | 2020-04-22T13:08:21.000Z | 2020-04-22T13:08:21.000Z | from werkzeug.security import check_password_hash, generate_password_hash
from Database import DBController
class UserManager:
def __init__(self, username):
self.username = username
pass
def createUser(self, password):
db = DBController()
cur = db.cursor()
args = (self.... | 32.454545 | 77 | 0.634454 | 605 | 0.847339 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.130252 |
5685b5cef5145d202704edd6bc702b0eefad35b5 | 7,977 | py | Python | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | cpp/cpp_e.py | 3r1ck10/cpp | 2b3d076b48fcce9682d94ebcdcd0ee990cc6dded | [
"MIT"
] | null | null | null | import xarray as xray
import numpy as np
import pandas as pd
from .ploteos import correct_mon
from .ploteos_e import correct_e
class cpp_e(object):
def __init__(self,datos):
self.data=datos
def day_scaling(self,acu=False,f_cal=None,f_apl=None):
#APLICAR SCALING DIARIO---------------------------... | 52.137255 | 124 | 0.519368 | 7,849 | 0.983831 | 0 | 0 | 0 | 0 | 0 | 0 | 1,013 | 0.126974 |
568673ef2cde487c729769189c6ebe595faadce9 | 2,170 | py | Python | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/ui/leaderboard.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | import time
from kts.ui.components import HTMLRepr, Column, Field, Title, ThumbnailField, Raw
from kts.util.formatting import format_value
def format_experiment_date(date):
delta = time.time() - date
if delta < 60 * 60 * 24:
return format_value(delta, time=True) + ' ago'
else:
return form... | 38.070175 | 160 | 0.595392 | 1,821 | 0.839171 | 0 | 0 | 771 | 0.3553 | 0 | 0 | 271 | 0.124885 |
56868508641f95c8037312c6e71d709a9b56a1e6 | 229 | py | Python | mmdet/models/utils/builder.py | SuhyunL/Fashion-Object-Detection | 5870189a65f7c5d009beb763c34fefd029b9cce5 | [
"Apache-2.0"
] | 326 | 2021-05-06T01:15:09.000Z | 2022-03-30T14:52:13.000Z | mmdet/models/utils/builder.py | MCG-NJU/AdaMixer | 7cd998826da5f38e698cebb9a619bc322462a5db | [
"MIT"
] | 39 | 2021-05-20T02:54:40.000Z | 2022-03-31T09:16:46.000Z | mmdet/models/utils/builder.py | MCG-NJU/AdaMixer | 7cd998826da5f38e698cebb9a619bc322462a5db | [
"MIT"
] | 46 | 2021-05-08T22:25:27.000Z | 2022-03-28T08:11:51.000Z | from mmcv.utils import Registry, build_from_cfg
TRANSFORMER = Registry('Transformer')
def build_transformer(cfg, default_args=None):
"""Builder for Transformer."""
return build_from_cfg(cfg, TRANSFORMER, default_args)
| 25.444444 | 57 | 0.772926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.187773 |
5687b2eebefd1922fec6386607f4531267b31693 | 2,726 | py | Python | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | dags/etl_store_dag.py | nileshvarshney/airflow | 6bb31a3acdd5a9c8bb74ddb01a851adb99602b9b | [
"Apache-2.0"
] | null | null | null | # import python libraries
from airflow import DAG
from datetime import datetime, timedelta
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
from datacleaner import data_cleaner
from airflow.operators.mysql_operator import MySqlOperator
from airflow.op... | 32.843373 | 210 | 0.733309 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.431768 |
568b420e2b194c6e850383a0e1263c01a6a582cb | 299 | py | Python | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | nilearn/decoding/__init__.py | sahahn/nilearn | 642399137b923e273b396a1c33aa06b8081089b7 | [
"BSD-2-Clause"
] | null | null | null | """
Decoding tools and algorithms.
"""
from .searchlight import SearchLight
from .space_net import SpaceNetClassifier, SpaceNetRegressor
from .decoder import Decoder, DecoderRegressor
__all__ = ['SearchLight', 'SpaceNetClassifier', 'SpaceNetRegressor', 'Decoder',
'DecoderRegressor']
| 23 | 79 | 0.762542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.391304 |
568b4f13f51fbd3e746104f8badc5ad0334c142c | 379 | py | Python | acq4/devices/MockPressureControl.py | campagnola/acq4 | 09699c07d8949950f6df149cf17892aaa3a37402 | [
"MIT"
] | 47 | 2015-01-05T16:18:10.000Z | 2022-03-16T13:09:30.000Z | acq4/devices/MockPressureControl.py | acq4/acq4 | c77636a76d68ffa1bc7dbd41edc522e523b909b8 | [
"MIT"
] | 48 | 2015-04-19T16:51:41.000Z | 2022-03-31T14:48:16.000Z | acq4/devices/MockPressureControl.py | acq4/acq4 | c77636a76d68ffa1bc7dbd41edc522e523b909b8 | [
"MIT"
] | 32 | 2015-01-15T14:11:49.000Z | 2021-07-15T13:44:52.000Z | from acq4.devices.PressureControl import PressureControl
class MockPressureControl(PressureControl):
def _setPressure(self, p):
self.pressure = p
def getPressure(self):
return getattr(self, "pressure", 10)
def _setSource(self, source):
self.source = source
def getSource(self... | 23.6875 | 56 | 0.680739 | 319 | 0.841689 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.047493 |
568d2084adf71a287fd23fe49c7602c597d70fdf | 85 | py | Python | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | src/tcp/server/src/sizeof.py | gltchitm/pong-c-cheats | 64bdb50519db0ebdc68ae19c3ce738e658fb71d3 | [
"MIT"
] | null | null | null | SIZEOF_BYTE = 8
SIZEOF_INT_16 = 16 // SIZEOF_BYTE
SIZEOF_INT_32 = 32 // SIZEOF_BYTE
| 17 | 33 | 0.752941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
568d890d93930eebca3929a03cee09545033af9c | 1,976 | py | Python | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | Pibow/sprinkles.py | ShineTop/Unicorn-HAT | 9ff1388ee627a8e81f361929e9e9b708db4e2832 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Sprinkles - Pibow
This program lights up and turns off random LEDS using the colors of the
Pibow Zero Candy case
....................
Functions:
- sprinkles: Lights up and turns off random LEDs
....................
Author: Paul Ryan
This program was written on a Raspberry Pi using the Geany... | 27.830986 | 72 | 0.508097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,014 | 0.513158 |
568f011991a22235f2ada3f55574b76cc47e5636 | 1,520 | py | Python | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | 1 | 2021-09-23T03:05:59.000Z | 2021-09-23T03:05:59.000Z | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | 2 | 2021-09-22T10:07:58.000Z | 2021-11-08T08:30:23.000Z | resource/choices.py | dataiku/dss-plugin-kayrros | 580ee752885f8f19883b81ea921df290c65b925a | [
"Apache-2.0"
] | null | null | null | import requests
import logging
from utils.authentification import get_headers
logger = logging.getLogger(__name__)
def do(payload, config, plugin_config, inputs):
username = config.get("username", "")
password = config.get("password", "")
if payload.get('parameterName') == "collection_id":
# ... | 28.148148 | 100 | 0.614474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 431 | 0.283553 |
568fe2ca1c5825bb9a77cda8a3a20df6bfce2b30 | 2,402 | py | Python | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | src/titlescreen.py | bl-ackrain/Jetpack-Pokitto | 240a9afea7a2c91cd1d08184b615a3dfe5c24645 | [
"MIT"
] | null | null | null | # titlescreen.py
import upygame
logoPixels = b'\
\x99\x99\x99\x98\x80\x00\x00\x99\x99\x88\x80\x00\x99\x99\x98\x88\x80\x09\x99\x98\x88\x80\x09\x99\x88\x88\x00\x99\x99\x88\x80\x09\x99\x88\x09\
\x01\x11\x11\x19\x88\x00\x00\x91\x11\x98\x88\x99\x11\x11\x19\x98\x88\x99\x11\x99\x88\x88\x91\x11\x98\x88\x89\x11\x19\x9... | 96.08 | 142 | 0.731057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,311 | 0.962115 |
5690fed945f481b368f8606599bd5667fec6dd62 | 185 | py | Python | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 2 | 2021-11-10T10:13:25.000Z | 2022-01-12T08:11:59.000Z | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 2 | 2022-01-11T19:45:49.000Z | 2022-01-11T20:36:03.000Z | 01_evaluation_101/solutions/solution_09.py | jparrax/datascience_middle_course | 347dfd6f68fa0f90eac35e8154f3ea469ccbdea2 | [
"CC0-1.0"
] | 1 | 2022-01-12T08:12:11.000Z | 2022-01-12T08:12:11.000Z | ax = data.plot.scatter(x=data.columns[0], y=data.columns[1])
ax.plot(X["Flipper Length (mm)"], y_pred, color="black", linewidth=4)
_ = ax.set_title("Can I predict penguins' body mass")
| 46.25 | 69 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.340541 |
56920c08dfcb1a77f8cde28ba7bdd1f09b763b05 | 4,387 | py | Python | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | 1 | 2020-12-02T15:47:11.000Z | 2020-12-02T15:47:11.000Z | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | null | null | null | src/luh3417/snapshot/__init__.py | HenryJobst/luh3417 | 680c21739d2afb9559e4d8bdf4eedeaf5a6b1e28 | [
"WTFPL"
] | null | null | null | import subprocess
import re
from typing import Sequence, Text
from luh3417.luhfs import LocalLocation, Location, SshLocation
from luh3417.luhssh import SshManager
from luh3417.utils import LuhError
def rsync_files(source: Location, target: Location, delete: bool = False):
"""
Use rsync to copy files from a ... | 29.442953 | 114 | 0.664235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,078 | 0.245726 |
5692c81d7e2760ade8f07b80322678af0eaf034a | 988 | py | Python | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Longest Palindrome.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | '''
Given a string which consists of lowercase or uppercase letters, find the length of the longest palindromes that can be built with those letters.
This is case sensitive, for example "Aa" is not considered a palindrome here.
Note:
Assume the length of given string will not exceed 1,010.
Example:
Input:
"abccccd... | 21.021277 | 145 | 0.508097 | 560 | 0.566802 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.486842 |
5692c82ddaadcc9854e670c4098765e47d7b4ad7 | 580 | py | Python | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | 2 | 2022-01-24T23:30:18.000Z | 2022-01-26T00:21:22.000Z | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | content/migrations/0025_auto_20200522_1158.py | Revibe-Music/core-services | 6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2 | [
"MIT"
] | null | null | null | # Generated by Django 3.0 on 2020-05-22 16:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('content', '0024_auto_20200430_1225'),
]
operations = [
migrations.AlterField(
model_name='song',
name='last_changed',
... | 24.166667 | 69 | 0.594828 | 489 | 0.843103 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.206897 |
5693d714eafd06865a07dedef3e3c8ed43436124 | 263 | py | Python | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | 4 | 2018-11-09T18:08:04.000Z | 2020-02-13T15:47:33.000Z | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | null | null | null | config_db.py | hung96ad/predict_price_cryptocurrencies | c13a9560045c6c028c26cacda1d089cd21246aaa | [
"Unlicense"
] | 5 | 2019-05-28T11:14:58.000Z | 2022-03-16T08:34:16.000Z | try:
import mysql.connector as mysql
except :
import MySQLdb as mysql
def config_db():
return mysql.connect(user='root', password='',
host='localhost',
database='coin')
| 26.3 | 68 | 0.48289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.095057 |
56945336d8bb03130acbfab0a81f5207b0b6b6c3 | 19,334 | py | Python | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | null | null | null | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | null | null | null | tests/autodiff_test.py | GIS-PuppetMaster/TENSILE | e19f973bb30fba69a23644389c82a4471ee5a241 | [
"MIT"
] | 1 | 2020-09-27T07:27:47.000Z | 2020-09-27T07:27:47.000Z | from pycode.tinyflow import autodiff as ad
import numpy as np
from pycode.tinyflow import ndarray
from pycode.tinyflow import TrainExecute
from pycode.tinyflow import train
def test_identity():
x2 = ad.Variable(name="x2")
y = x2
grad_x2, = ad.gradients(y, [x2])
executor = ad.Executor([y, grad_x2])
... | 31.747126 | 111 | 0.65646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,815 | 0.093721 |
569a7754edeb369bfa7791b3bdcf74473cb3053f | 3,780 | py | Python | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | null | null | null | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | null | null | null | GUI/Toolbox/metadata.py | Guillermo-Hidalgo-Gadea/RPi4Toolbox | 47a265aa9828f144155c097efc8ff36bd435099f | [
"MIT"
] | 1 | 2021-10-15T16:14:48.000Z | 2021-10-15T16:14:48.000Z | # Metadata module to save metadata as dictionary, save trial metadata as yaml and export metadata as csv
import yaml
import datetime
import pandas as pd
from pathlib import Path
class Metadata:
def __init__(self):
base_path = Path().parent
self.metadata_dir = (base_path / "RPi4Toolbox/GUI/Toolbox/... | 43.953488 | 127 | 0.636508 | 2,843 | 0.752116 | 0 | 0 | 0 | 0 | 0 | 0 | 1,223 | 0.323545 |
569a865fd03cc8fb9438faa2823978a4952d4968 | 3,504 | py | Python | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | test_symnet_gczsl.py | Zoya-Hashmi/SymNet_copy | b306ca9ddc5b3e26c7ef05aa1f020d7f4e8313a9 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from utils.base_solver import BaseSolver
import os, logging, importlib, re, copy, random, tqdm, argparse
import os.path as osp
import cPickle as pickle
from pprint import pprint
from datetime import datetime
... | 29.948718 | 124 | 0.66895 | 2,025 | 0.577911 | 0 | 0 | 0 | 0 | 0 | 0 | 669 | 0.190925 |
569ec3463a6b9dc7fdb5c4eccfb276fd52b756ed | 1,190 | py | Python | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | 2 | 2022-02-08T01:15:52.000Z | 2022-03-31T04:24:15.000Z | jobya/companies/management/commands/setup_company.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand
from django.db import transaction
from jobya.companies.models import Company
from jobya.companies.tests.factories import CompanyFactory
class Command(BaseCommand):
help = "Set up company data"
def add_arguments(self, parser):
parser.add_argument(
... | 29.02439 | 67 | 0.607563 | 998 | 0.838655 | 0 | 0 | 331 | 0.278151 | 0 | 0 | 265 | 0.222689 |
569f140d78f25e52085c587978a86ff31c34d8bd | 140,512 | py | Python | contrib/qa/bugzilla.py | crystalfontz/openembedded | 8af3377bf132113baa0766fd9021e0ce162a0944 | [
"MIT"
] | 70 | 2015-02-23T04:18:51.000Z | 2022-03-15T02:01:27.000Z | contrib/qa/bugzilla.py | buglabs/oe-buglabs | b8a4c4b1358214cd3ac1cf6f85154e9c62b16ce7 | [
"MIT"
] | 1 | 2020-09-07T15:33:56.000Z | 2020-09-07T15:33:56.000Z | contrib/qa/bugzilla.py | buglabs/oe-buglabs | b8a4c4b1358214cd3ac1cf6f85154e9c62b16ce7 | [
"MIT"
] | 88 | 2015-02-11T12:03:16.000Z | 2022-03-30T11:33:42.000Z | #
# BugZilla query page scanner to work with ancient
# Debian Stable bugzilla installationss
#
# This includes three test sites
# site contains one bug entry
# all_bugs contains all Openmoko bugs as of \today
# no_bug is a query which showed no bug
#
from HTMLParser import HTMLParser
class BugQueryExtractor(HT... | 16.970048 | 1,068 | 0.534723 | 2,374 | 0.016895 | 0 | 0 | 0 | 0 | 0 | 0 | 138,262 | 0.983987 |
569fd8ab2bfa51b46a8fc425da22db12d4345b01 | 2,188 | py | Python | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | presenter.py | liordon/motion_detector | 7c22062bb3a8b254d9e4a3d6d88a89d89320785a | [
"Unlicense"
] | null | null | null | import ast
import datetime
import cv2
import psutil
from utils import *
def presenter_log(message: str):
log("PRST", message)
def present_annotated_frames_from_stream(pipe_reader, pid):
presenter_log("presenter presents")
while pipe_reader.poll(3) or psutil.pid_exists(pid):
message = pipe_read... | 33.661538 | 91 | 0.612431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 357 | 0.163163 |
56a0677ee2c20f71870059ac35a9ec0979418868 | 3,412 | py | Python | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | 4 | 2018-11-19T13:34:53.000Z | 2020-01-11T11:58:13.000Z | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | null | null | null | mllearn/problem_transform/klabelsets.py | Lxinyuelxy/multi-label-learn | ab347e9c9ccac1503f22c7b76e0b3e9a4e8214da | [
"MIT"
] | 3 | 2019-04-14T18:13:33.000Z | 2021-04-05T14:45:56.000Z | import copy
import random
import numpy as np
from sklearn.svm import SVC
class RandomKLabelsets:
"""RandomKLabelsets
Reference Paper:
Min-Ling Zhang and Zhi-Hua Zhou. A Review on Multi-Label Learning Algorithms
"""
def __init__(self, classifier=SVC(kernel='rbf')):
self.classifier = clas... | 36.297872 | 87 | 0.566823 | 3,337 | 0.978019 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.051876 |
56a0e67715f2ad6066c4212bdf3b6c7670e86244 | 406 | py | Python | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | null | null | null | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | 18 | 2019-05-28T17:20:34.000Z | 2022-03-11T23:50:12.000Z | users/tests/test_view.py | VladaDidko/skill- | 861c08376e2bc9b9a5a44e3a8560324ee53ce2d0 | [
"Unlicense"
] | 3 | 2019-05-27T09:51:54.000Z | 2019-12-12T20:35:29.000Z | from django.test import TestCase, Client
from django.urls import reverse
class TestViews(TestCase):
def setUp(self):
self.client = Client()
self.register_url = reverse('register')
self.profile_url = reverse('profile')
def test_register(self):
response = self.client.get(self.register_url)
self.assertEqual... | 29 | 58 | 0.768473 | 332 | 0.817734 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.098522 |
56a142df9367848a23bc2307ae8b5ba73cf7b0ac | 976 | py | Python | incidences/forms.py | atlasfoo/risk_audit_websys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | null | null | null | incidences/forms.py | atlasfoo/risk_audit_websys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | 13 | 2021-05-28T05:22:16.000Z | 2021-06-02T05:49:07.000Z | incidences/forms.py | atlasfoo/risksys | df43a48699b16d0d0bade3f597d889bfe20eda7b | [
"MIT"
] | null | null | null | from django import forms
from incidences.models import Incidence
class IncidenceForm(forms.ModelForm):
class Meta:
model = Incidence
fields = ['name', 'description', 'risk', 'causes', 'effects', 'controls']
widgets = {
'name': forms.TextInput(attrs={'class': 'form-control', 'p... | 39.04 | 98 | 0.571721 | 908 | 0.929376 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.395087 |
56a2df9338d095c9e041cd414ec3dfeb1e4f74ab | 2,206 | py | Python | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | Detector.py | Corzair1/EyeC | 0e90f8d296833c6d4b9d8eeeeed48d3a05d52ffb | [
"MIT"
] | null | null | null | import cv2 as cv
import numpy as np
from urllib.request import urlopen
import os
import datetime
import time
import sys
#change to your ESP32-CAM ip
url="http://192.168.31.184:81/stream"
CAMERA_BUFFRER_SIZE=4096
stream=urlopen(url)
bts=b''
while True:
try:
while True:
bts+=stream.read(CAMERA_BU... | 29.413333 | 106 | 0.497733 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.112421 |
56a3e14dbfe824cc296d28795afa04041f550530 | 3,489 | py | Python | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | 1 | 2021-05-02T20:21:26.000Z | 2021-05-02T20:21:26.000Z | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | null | null | null | imdb/imdb/spiders/imdb_3.py | KarolinaSzwedo/WebscrapingProject | fb59c476df8632a449290f9a4374501673729d7c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
class Movie(scrapy.Item):
# define all items to scrape
title = scrapy.Field()
genres = scrapy.Field()
when = scrapy.Field()
director = scrapy.Field()
stars = scrapy.Field()
country = scrapy.Field... | 50.565217 | 162 | 0.5953 | 3,420 | 0.980224 | 2,141 | 0.613643 | 0 | 0 | 0 | 0 | 1,582 | 0.453425 |
56a469688cdd8e5eda3a9186b703e25f8c24b34a | 14,742 | py | Python | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | 3 | 2020-07-29T19:30:25.000Z | 2022-03-20T13:57:28.000Z | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | null | null | null | main.py | odgon/monitoring-vertica | 300cc2bbe490dddc331475732cb6d5766a128efb | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from vc import vc
import json
from fastapi.openapi.utils import get_openapi
from fastapi.openapi.docs import (
get_redoc_html,
get_swagger_ui_html,
get_swagger_ui_oauth2_redirect_html,
)
with open('config.json') as jf:
d = json.load(jf)
vh = d['vertica']['host']
vpo ... | 31.035789 | 353 | 0.574413 | 502 | 0.034052 | 0 | 0 | 12,728 | 0.863384 | 894 | 0.060643 | 8,156 | 0.553249 |
56a6e49ba851394662aa10e00d7024d9b014ea05 | 489 | py | Python | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | 1 | 2019-03-29T04:32:09.000Z | 2019-03-29T04:32:09.000Z | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | null | null | null | default_arg.py | Baibhabswain/pythonPrograms | 38380174f22e73b766b98754b00cd78a56b4bf59 | [
"MIT"
] | null | null | null | def add(x=input("Please enter the first number"),y=input("Please enter the second number"),z=input("Please enter the third number")):
print x,'+',y,'+',z
return x+y+z
def main():
print"main starts..."
x=10
y=20
z=30
print "x is base"
print add(x,y,z)
print add(x,y)
print add(x)
print "y is base"
... | 21.26087 | 134 | 0.621677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.337423 |
56a76dadea90c2fbb35f8500b4065a9f37d7b50f | 713 | py | Python | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | formatcode/base/utils.py | peredryaga/excel-number-format | 490f91920322d1fcf6698f6ba9923565a13ba1d4 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import division, print_function, unicode_literals
from abc import ABCMeta
class Singleton(ABCMeta):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
... | 22.28125 | 81 | 0.653576 | 469 | 0.657784 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.021038 |
56a7cb8d0a515d0d03e5c9639c22d946905c0f63 | 715 | py | Python | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | exercises/knowledge_model.py | dana19-meet/y2s18-databases | f09ea9fe0f23449aba018d3330a5dc51c24930f8 | [
"MIT"
] | null | null | null | from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from sqlalchemy import create_engine
Base = declarative_base()
class Knowledge(Base):
__tablename__='know'
IDnumber=Column(Integer,primary_key=True)
... | 27.5 | 67 | 0.752448 | 386 | 0.53986 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.261538 |
56a7f7164acbc9e276761cd5fcdf3c19afa81699 | 404 | py | Python | examples/type/str_ipv4_data.py | junpuf/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | 1 | 2019-08-30T18:14:45.000Z | 2019-08-30T18:14:45.000Z | examples/type/str_ipv4_data.py | junpuf/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | 5 | 2019-07-17T01:27:20.000Z | 2019-08-29T14:13:58.000Z | examples/type/str_ipv4_data.py | JunpuFan/serial-j | e01f9c0af39ee5ddba1fb35d042c99cbfa02641d | [
"MIT"
] | null | null | null | from serial_j import SerialJ
class StrIPv4Data(SerialJ):
schema = [
{'name': 'prop1', 'type': (str, 'ipv4')}
]
valid_data = StrIPv4Data({'prop1': '172.16.255.1'})
print(valid_data)
# >>> {"prop1": "172.16.255.1"}
invalid_data = StrIPv4Data({'prop1': '172.16.256.1'})
# >>> ValueError: Property: 'pro... | 25.25 | 115 | 0.618812 | 97 | 0.240099 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.527228 |
3b05ff6c3393fdf9cff7387c667789a685e86381 | 6,465 | py | Python | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | 1 | 2020-03-10T01:16:34.000Z | 2020-03-10T01:16:34.000Z | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | null | null | null | drive.py | 7th-mod-korea/when_they_cry_converter | 92956d40c02ece1b0536fbddc9799553e11af93c | [
"MIT"
] | null | null | null | from __future__ import print_function
import pickle
import os.path
import sys
import hashlib
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from apiclient import errors
from googleapiclient.http import MediaIoBaseDown... | 39.662577 | 106 | 0.605878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,237 | 0.191338 |