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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4431cc070b5b72f9b1711e84d06659e38998a2d7 | 3,066 | py | Python | examples/amq/rpc/rpc-client.py | JohnSitarski/gestalt | 119bc0f1c1c8a9ad1919347573d25f1c502737dc | [
"MIT"
] | 8 | 2019-07-25T08:33:18.000Z | 2021-05-09T23:25:55.000Z | examples/amq/rpc/rpc-client.py | JohnSitarski/gestalt | 119bc0f1c1c8a9ad1919347573d25f1c502737dc | [
"MIT"
] | 1 | 2020-01-07T23:08:16.000Z | 2020-01-08T03:20:53.000Z | examples/amq/rpc/rpc-client.py | JohnSitarski/gestalt | 119bc0f1c1c8a9ad1919347573d25f1c502737dc | [
"MIT"
] | 3 | 2019-09-17T12:00:11.000Z | 2021-05-09T23:26:06.000Z | import argparse
import asyncio
import logging
import random
from aio_pika.exceptions import DeliveryError
from gestalt.amq.requester import Requester
from gestalt.serialization import CONTENT_TYPE_JSON
from gestalt.runner import run
logger = logging.getLogger(__name__)
if __name__ == "__main__":
parser = argpar... | 33.326087 | 97 | 0.613177 |
4437b9810c4e7fa906b091e98a1904da452af26d | 915 | py | Python | api/v1/views/index.py | bdbaraban/HolbertonBnB | 70812bcef485e4d57ca0f7a1d0ddc59583f4122a | [
"MIT"
] | 1 | 2022-02-08T03:51:31.000Z | 2022-02-08T03:51:31.000Z | api/v1/views/index.py | bdbaraban/HolbertonBnB | 70812bcef485e4d57ca0f7a1d0ddc59583f4122a | [
"MIT"
] | null | null | null | api/v1/views/index.py | bdbaraban/HolbertonBnB | 70812bcef485e4d57ca0f7a1d0ddc59583f4122a | [
"MIT"
] | 8 | 2020-12-10T14:41:39.000Z | 2022-03-10T21:35:59.000Z | #!/usr/bin/env python3
"""Defines a status route for the HolbertonBnB API."""
from flask import jsonify
from flasgger import swag_from
from models import storage
from api.v1.views import app_views
| 26.142857 | 58 | 0.645902 |
4437e9f6903630a640348af85239c86e44387d67 | 2,499 | py | Python | helper.py | NorthwoodsDev/CircuitPython_Companion_Bot | de9283d0af8f59d1ffc2fd43f39d90baee041859 | [
"MIT"
] | null | null | null | helper.py | NorthwoodsDev/CircuitPython_Companion_Bot | de9283d0af8f59d1ffc2fd43f39d90baee041859 | [
"MIT"
] | null | null | null | helper.py | NorthwoodsDev/CircuitPython_Companion_Bot | de9283d0af8f59d1ffc2fd43f39d90baee041859 | [
"MIT"
] | null | null | null | import os
import storage
import time
import board
import random
import microcontroller | 27.766667 | 226 | 0.577831 |
4437f26ba6c39393772f578c50974f0c3bd7647f | 3,538 | py | Python | data_strctures/queue.py | CodenameREBIRTH/algopy | f3894c98b7232d0f6067eb52ca68f9e6a8875884 | [
"MIT"
] | 4 | 2019-09-28T17:02:47.000Z | 2020-01-15T15:51:40.000Z | data_strctures/queue.py | CodenameREBIRTH/algopy | f3894c98b7232d0f6067eb52ca68f9e6a8875884 | [
"MIT"
] | 1 | 2019-10-15T03:56:59.000Z | 2019-10-15T03:56:59.000Z | data_strctures/queue.py | CodenameREBIRTH/algopy | f3894c98b7232d0f6067eb52ca68f9e6a8875884 | [
"MIT"
] | 3 | 2019-10-14T16:22:08.000Z | 2020-10-07T08:32:08.000Z | import inspect
# TODO -> add priority queue and circuler queue for concept purpose
| 18.331606 | 75 | 0.498021 |
4438dec493c05b8f2b45e2e4cf553dc716b064b6 | 4,549 | py | Python | course_science.py | 9999years/brandeis-classes | e43d0227bafb4562d533565f3e94cd799ce636b8 | [
"MIT"
] | null | null | null | course_science.py | 9999years/brandeis-classes | e43d0227bafb4562d533565f3e94cd799ce636b8 | [
"MIT"
] | null | null | null | course_science.py | 9999years/brandeis-classes | e43d0227bafb4562d533565f3e94cd799ce636b8 | [
"MIT"
] | null | null | null | import itertools
import os.path
from collections import Counter
from glob import glob
from typing import List, Mapping
import brandeis
COURSES = {}
def read(fname: str) -> List[brandeis.Course]:
"""for initializing COURSES"""
with open(fname, "r") as f:
return brandeis.load_courses(f)
def read_al... | 27.403614 | 93 | 0.573533 |
44399f62445aff54bdaa825b5afca3b8782554ba | 1,803 | py | Python | merak/utils/refs.py | Yao1993/merak | 517b7a8eca82eebbf22bcd3688a79e1e76ed9d42 | [
"Apache-2.0"
] | 16 | 2021-01-22T04:09:30.000Z | 2022-03-17T10:38:34.000Z | merak/utils/refs.py | Yao1993/merak | 517b7a8eca82eebbf22bcd3688a79e1e76ed9d42 | [
"Apache-2.0"
] | 6 | 2021-04-12T10:09:47.000Z | 2022-03-24T09:31:13.000Z | merak/utils/refs.py | Yao1993/merak | 517b7a8eca82eebbf22bcd3688a79e1e76ed9d42 | [
"Apache-2.0"
] | 2 | 2021-07-14T05:39:17.000Z | 2021-07-28T16:27:40.000Z | # Copyright 2021 (David) Siu-Kei Muk. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 32.781818 | 80 | 0.665003 |
443a6baa9c0756dd7aae2e5c5109341c173ecdeb | 538 | py | Python | Python/kth-largest-element-in-a-stream.py | se77enn/LeetCode-Solution | d29ef5358cae592b63952c3d293897a176fb75e1 | [
"MIT"
] | 1 | 2020-10-27T03:22:31.000Z | 2020-10-27T03:22:31.000Z | Python/kth-largest-element-in-a-stream.py | se77enn/LeetCode-Solution | d29ef5358cae592b63952c3d293897a176fb75e1 | [
"MIT"
] | null | null | null | Python/kth-largest-element-in-a-stream.py | se77enn/LeetCode-Solution | d29ef5358cae592b63952c3d293897a176fb75e1 | [
"MIT"
] | 1 | 2021-03-22T18:58:23.000Z | 2021-03-22T18:58:23.000Z | # Time: O(nlogk)
# Space: O(k)
import heapq
| 19.214286 | 44 | 0.494424 |
443e6327aedef6ac6c12e9616d7d14e817f67223 | 3,344 | py | Python | youtube_series_downloader/gateways/config_gateway.py | Senth/youtube-series-downloader | fadacc16798de336e4f5a2cf7648219bffb67016 | [
"MIT"
] | 3 | 2021-02-13T12:46:11.000Z | 2022-03-20T21:43:37.000Z | youtube_series_downloader/gateways/config_gateway.py | Senth/youtube-series-downloader | fadacc16798de336e4f5a2cf7648219bffb67016 | [
"MIT"
] | 14 | 2021-04-19T09:52:23.000Z | 2021-11-24T20:01:50.000Z | youtube_series_downloader/gateways/config_gateway.py | Senth/youtube-series-downloader | fadacc16798de336e4f5a2cf7648219bffb67016 | [
"MIT"
] | null | null | null | import os
import platform
from configparser import ExtendedInterpolation
from pathlib import Path
from subprocess import run
from sys import exit
from typing import List
from blulib.config_parser import ConfigParser
from tealprint import TealPrint
from tealprint.teallevel import TealLevel
from youtube_series_downloade... | 34.833333 | 121 | 0.559211 |
443e759d16cba07de3629249873b2670919d009a | 5,590 | py | Python | activeClassifier/env/input_fn.py | dHonerkamp/ActiveClassifier | 052675277153594db64261cd56699a057e633de2 | [
"Apache-2.0"
] | null | null | null | activeClassifier/env/input_fn.py | dHonerkamp/ActiveClassifier | 052675277153594db64261cd56699a057e633de2 | [
"Apache-2.0"
] | null | null | null | activeClassifier/env/input_fn.py | dHonerkamp/ActiveClassifier | 052675277153594db64261cd56699a057e633de2 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
def translate_function(image, label, FLAGS):
'''
Not sure if translation differs every epoch or not atm.
Alternative: could pass a vector with pre-sampled x1, y1 (and a counter to index) along to ensure same translation.
'''
if FLAGS.translated_size:
pad_height = F... | 47.777778 | 226 | 0.7 |
443e880e410b850c486af0532ecd8869505aeb29 | 60 | py | Python | investigateModules/compareModulePatches.py | kromerh/solarAnalytics | 8d450746dcf45b5ae3933b5e2d8838a23c8b32ea | [
"MIT"
] | null | null | null | investigateModules/compareModulePatches.py | kromerh/solarAnalytics | 8d450746dcf45b5ae3933b5e2d8838a23c8b32ea | [
"MIT"
] | null | null | null | investigateModules/compareModulePatches.py | kromerh/solarAnalytics | 8d450746dcf45b5ae3933b5e2d8838a23c8b32ea | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import os
import re
| 10 | 19 | 0.783333 |
443fa902e796b93ad8d348cfbafd34b5dc71eedd | 15,348 | py | Python | amical/data_processing.py | anand0xff/AMICAL | 703ab4ead01054240ff5d43b6fb020d7877fd6cd | [
"MIT"
] | null | null | null | amical/data_processing.py | anand0xff/AMICAL | 703ab4ead01054240ff5d43b6fb020d7877fd6cd | [
"MIT"
] | null | null | null | amical/data_processing.py | anand0xff/AMICAL | 703ab4ead01054240ff5d43b6fb020d7877fd6cd | [
"MIT"
] | null | null | null | """
@author: Anthony Soulain (University of Sydney)
-------------------------------------------------------------------------
AMICAL: Aperture Masking Interferometry Calibration and Analysis Library
-------------------------------------------------------------------------
Function related to data cleaning (ghost, bac... | 36.805755 | 118 | 0.573495 |
4440960cf020e65d9360167e1a2a885b0c4dd7d8 | 5,107 | py | Python | lyaf_optdepth/corrections.py | VikrantKamble/lyaf_optdepth | 899048ab73e546513b3713b3818abfab3ce3ab05 | [
"MIT"
] | null | null | null | lyaf_optdepth/corrections.py | VikrantKamble/lyaf_optdepth | 899048ab73e546513b3713b3818abfab3ce3ab05 | [
"MIT"
] | null | null | null | lyaf_optdepth/corrections.py | VikrantKamble/lyaf_optdepth | 899048ab73e546513b3713b3818abfab3ce3ab05 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import binned_statistic
def var_correct(qso, rest_ranges=None, zq_range=[1.6, 4.], fit_model=True,
savefile=False):
""" Corrections to the vriance assigned to the pixels by the pipeline
Notes:
1. Scaling spectra doesn... | 35.465278 | 89 | 0.585079 |
4440ac3805231c8fe777bc392e2e8cc3c24645a4 | 336 | py | Python | backend/common/databases/tosurnament/user.py | SpartanPlume/Tosurnament | 07e6b067a6c78a589de1a461789bce02352220fb | [
"MIT"
] | 7 | 2018-03-13T12:21:37.000Z | 2021-07-10T21:47:05.000Z | backend/common/databases/tosurnament/user.py | SpartanPlume/Tosurnament | 07e6b067a6c78a589de1a461789bce02352220fb | [
"MIT"
] | 44 | 2017-12-28T15:22:27.000Z | 2021-09-17T20:56:17.000Z | backend/common/databases/tosurnament/user.py | SpartanPlume/Tosurnament | 07e6b067a6c78a589de1a461789bce02352220fb | [
"MIT"
] | 9 | 2020-07-03T10:07:05.000Z | 2022-02-27T15:09:11.000Z | """User table"""
from mysqldb_wrapper import Base, Id
| 16.8 | 36 | 0.595238 |
4444e7e0112d27b6a6afe52aecc7a8352ed7a487 | 801 | py | Python | snakeswitch.py | TheRedSpy15/Snakeswitch | 082a07d6994a04c6cecfaa0a0868a37bdd373b51 | [
"MIT"
] | null | null | null | snakeswitch.py | TheRedSpy15/Snakeswitch | 082a07d6994a04c6cecfaa0a0868a37bdd373b51 | [
"MIT"
] | null | null | null | snakeswitch.py | TheRedSpy15/Snakeswitch | 082a07d6994a04c6cecfaa0a0868a37bdd373b51 | [
"MIT"
] | null | null | null | from requests import get
import time
import gi
ip_starting = ""
recon_command = ""
rate = 60
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('Interrupted')
try:
import sys
sys.exit(0)
except SystemExit:
import os
os._exit(0)
| 20.025 | 70 | 0.70412 |
44450985c3f99b89a21c4bb41bf9942469e1672d | 3,093 | py | Python | consumerui/grapher.py | AlexRogalskiy/kubeplus | eba34118cf721391abd9f97196bbfaa85c6f5079 | [
"Apache-2.0"
] | 396 | 2018-03-30T19:56:17.000Z | 2022-03-23T09:35:31.000Z | grapher/connections.py | cloud-ark/kubeplus | 1ee8fdd1dc53f83316883752a8ebb33708faedaf | [
"Apache-2.0"
] | 182 | 2018-04-24T03:12:00.000Z | 2022-02-28T18:27:11.000Z | grapher/connections.py | AlexRogalskiy/kubeplus | eba34118cf721391abd9f97196bbfaa85c6f5079 | [
"Apache-2.0"
] | 64 | 2018-04-25T00:02:37.000Z | 2022-03-16T02:46:03.000Z | import sys
import json
import subprocess
import sys
import os
from graphviz import Digraph
from graphviz import Graph
if __name__ == '__main__':
graph = ConnectionsGraph()
#print("Inside connections.py")
connections_json = sys.argv[1]
output_folder = sys.argv[2]
if len(sys.argv) == 4:
relsToHide = sys.argv[3]
... | 30.029126 | 106 | 0.669253 |
44460ed3ad075b11814a0994ca4285eafdbb39b1 | 823 | py | Python | scratch/interesting_cc.py | mikeboers/PyFlickr | 60f258ad6a5266fa8d8e6f6dc829e90e61df9696 | [
"BSD-3-Clause"
] | null | null | null | scratch/interesting_cc.py | mikeboers/PyFlickr | 60f258ad6a5266fa8d8e6f6dc829e90e61df9696 | [
"BSD-3-Clause"
] | null | null | null | scratch/interesting_cc.py | mikeboers/PyFlickr | 60f258ad6a5266fa8d8e6f6dc829e90e61df9696 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
import datetime
from pprint import pprint
import logging
logging.basicConfig(file=sys.stderr, level=logging.DEBUG)
from flickr import Flickr
from flickr.util import *
key = os.environ.get('FLICKR_KEY')
secret = os.environ.get('FLICKR_SECRET')
if not (key and secret):
print 'please set FLICK... | 21.657895 | 100 | 0.663426 |
44474deb5fa0c086545a3adfa369f518e9e5f9f5 | 2,415 | py | Python | fused_biattention.py | utahnlp/layer_augmentation_qa | a3dd2d7af6f45b2aa500ff7612f77c31fb879cf0 | [
"Apache-2.0"
] | 6 | 2019-10-08T11:48:21.000Z | 2021-05-28T07:00:56.000Z | fused_biattention.py | utahnlp/layer_augmentation_qa | a3dd2d7af6f45b2aa500ff7612f77c31fb879cf0 | [
"Apache-2.0"
] | null | null | null | fused_biattention.py | utahnlp/layer_augmentation_qa | a3dd2d7af6f45b2aa500ff7612f77c31fb879cf0 | [
"Apache-2.0"
] | 1 | 2020-07-02T06:31:06.000Z | 2020-07-02T06:31:06.000Z | import sys
import torch
from torch import nn
from torch.autograd import Variable
from view import *
from holder import *
from util import *
from join_table import *
from trilinear_prod import *
from fusion import *
# fused bidir attention
| 23.446602 | 107 | 0.719669 |
4447797a9aae9e4e0e21cce2510d72157327de0f | 255 | py | Python | neos/secrets.py | mralext20/neos.py | 5e83a868969a9782ddfc7eba023108290ccda97c | [
"MIT"
] | 2 | 2021-03-30T16:24:19.000Z | 2021-04-06T08:20:55.000Z | neos/secrets.py | mralext20/neos.py | 5e83a868969a9782ddfc7eba023108290ccda97c | [
"MIT"
] | null | null | null | neos/secrets.py | mralext20/neos.py | 5e83a868969a9782ddfc7eba023108290ccda97c | [
"MIT"
] | null | null | null | import random
import string
def generate() -> str:
"""
direct reimpl of secretID.js from account.neosvr.com
"""
length = 12
valid_chars = string.ascii_letters + string.digits
return "".join(random.choices(valid_chars, k=length))
| 21.25 | 57 | 0.678431 |
4449271c863f70b26b80fbfbede707ee87657d0c | 5,565 | py | Python | BresMaker.py | EvolveWithProseeker/Proseeker | 640c54952fc9295d03a2fdb22a452a8e4f6d4611 | [
"MIT"
] | 3 | 2021-05-31T00:56:30.000Z | 2022-03-23T14:24:09.000Z | BresMaker.py | EvolveWithProseeker/Proseeker | 640c54952fc9295d03a2fdb22a452a8e4f6d4611 | [
"MIT"
] | null | null | null | BresMaker.py | EvolveWithProseeker/Proseeker | 640c54952fc9295d03a2fdb22a452a8e4f6d4611 | [
"MIT"
] | 1 | 2022-03-24T08:49:30.000Z | 2022-03-24T08:49:30.000Z | # Simplified Bres Maker
# Version: 1.0
#Python Version: 2.0
# IMPORTS
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
from numpy import asarray
from numpy import savetxt
import sys
import os
# DEFINITIONS
# DATALOAD
#user_input = str(sys.argv[1])
#ranking = str(sys.argv[2])
#working = s... | 29.759358 | 120 | 0.4708 |
444a190a1b95aaf1953da26833ea09f6dfc98b31 | 10,828 | py | Python | Ity/Tools/test_TestResults.py | rmomizo/Ubiqu-Ity | 67bd167c248d6f9e2810df5028b2288a828bdbfc | [
"BSD-2-Clause"
] | 11 | 2015-06-22T15:52:31.000Z | 2021-09-14T18:51:26.000Z | Ity/Tools/test_TestResults.py | rmomizo/Ubiqu-Ity | 67bd167c248d6f9e2810df5028b2288a828bdbfc | [
"BSD-2-Clause"
] | null | null | null | Ity/Tools/test_TestResults.py | rmomizo/Ubiqu-Ity | 67bd167c248d6f9e2810df5028b2288a828bdbfc | [
"BSD-2-Clause"
] | 9 | 2015-05-15T23:06:34.000Z | 2021-09-15T16:05:51.000Z | import copy
from unittest import TestCase
import TestResults
__author__ = 'zthomae'
| 40.860377 | 116 | 0.633173 |
444a5ccfe65d81015051a623aa67855a8610e6c7 | 2,105 | py | Python | 01-datamodeling/project02-data-modeling-with-cassandra/file_mgr.py | ultranet1/DATA-ENGINEERING-NANODEGREE-UDACITY | d04e39e7312f04307f12257157c19ea40da2f11a | [
"Apache-2.0"
] | 33 | 2020-09-01T20:10:28.000Z | 2022-02-11T06:15:55.000Z | 01-datamodeling/project02-data-modeling-with-cassandra/file_mgr.py | ultranet1/DATA-ENGINEERING-NANODEGREE-UDACITY | d04e39e7312f04307f12257157c19ea40da2f11a | [
"Apache-2.0"
] | null | null | null | 01-datamodeling/project02-data-modeling-with-cassandra/file_mgr.py | ultranet1/DATA-ENGINEERING-NANODEGREE-UDACITY | d04e39e7312f04307f12257157c19ea40da2f11a | [
"Apache-2.0"
] | 64 | 2021-01-21T11:55:34.000Z | 2022-03-10T08:14:11.000Z |
import os
import glob
import pandas as pd
| 28.066667 | 92 | 0.59715 |
444d912fa3629eb0be4d59d69c09ce050796a70c | 879 | py | Python | Day-111/quick_sort.py | arvimal/100DaysofCode-Python | 01e59f45b4dc06a3be9e9900456a6bd439752911 | [
"MIT"
] | 1 | 2020-06-15T05:59:01.000Z | 2020-06-15T05:59:01.000Z | Day-111/quick_sort.py | arvimal/100DaysofCode-Python | 01e59f45b4dc06a3be9e9900456a6bd439752911 | [
"MIT"
] | null | null | null | Day-111/quick_sort.py | arvimal/100DaysofCode-Python | 01e59f45b4dc06a3be9e9900456a6bd439752911 | [
"MIT"
] | 7 | 2020-01-24T23:03:58.000Z | 2021-05-31T01:00:27.000Z | #!/usr/bin/env python3
# Algorithm: Quick sort
# Referrence: https://github.com/TheAlgorithms/Python/blob/master/sorts/quick_sort.py
def quick_sort(num_list):
"""
Quick sort in Python
If length of the list is 1 or less, there is no point in sorting it.
Hence, the code works on lists with sizes grea... | 25.114286 | 85 | 0.606371 |
444e975a0c4fb13e72c462d983b88bade759c75d | 141,070 | py | Python | modules/sequence_generators.py | ZhaozhiQIAN/neurawkes | 1a3caa837b34f77ac9d078bc9bf10ff10a3bf959 | [
"MIT"
] | null | null | null | modules/sequence_generators.py | ZhaozhiQIAN/neurawkes | 1a3caa837b34f77ac9d078bc9bf10ff10a3bf959 | [
"MIT"
] | null | null | null | modules/sequence_generators.py | ZhaozhiQIAN/neurawkes | 1a3caa837b34f77ac9d078bc9bf10ff10a3bf959 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Here are the sequence generators
including LSTM generator and Hawkes generator
@author: hongyuan
"""
import pickle
import time
import numpy
import theano
from theano import sandbox
import theano.tensor as tensor
import os
#import scipy.io
from collections import defaultdict
from theano.te... | 33.405162 | 114 | 0.510137 |
44503eada61c7c6d19634eb06fc44feea60e5c94 | 2,445 | py | Python | SeeThru_Feeds/Library/Components/HTTP.py | SeeThru-Networks/Python-Feed | 9c29fcf3462475e339f95d3e9766ed3a652ee6c0 | [
"MIT"
] | 3 | 2020-04-15T19:58:37.000Z | 2020-06-24T14:08:48.000Z | SeeThru_Feeds/Library/Components/HTTP.py | SeeThru-Networks/Python-Feed | 9c29fcf3462475e339f95d3e9766ed3a652ee6c0 | [
"MIT"
] | null | null | null | SeeThru_Feeds/Library/Components/HTTP.py | SeeThru-Networks/Python-Feed | 9c29fcf3462475e339f95d3e9766ed3a652ee6c0 | [
"MIT"
] | null | null | null | from SeeThru_Feeds.Model.Components.ComponentBase import ComponentBase
from SeeThru_Feeds.Model.Properties.Properties import FillableProperty, ResultProperty
import requests
| 45.277778 | 141 | 0.737423 |
445366866803a78fbcbc59c0c86e7e7c1ab75d5c | 425 | py | Python | scrapyd_dash/operations/versions_delete.py | Dainius-P/scrapyd-dash | f769551070c919ba41616928309460a93e1b120a | [
"MIT"
] | 3 | 2019-08-20T12:33:06.000Z | 2019-12-28T17:05:30.000Z | scrapyd_dash/operations/versions_delete.py | Dainius-P/scrapyd-dash | f769551070c919ba41616928309460a93e1b120a | [
"MIT"
] | 6 | 2020-06-05T22:31:56.000Z | 2022-02-10T12:33:45.000Z | scrapyd_dash/operations/versions_delete.py | Dainius-P/scrapyd-dash | f769551070c919ba41616928309460a93e1b120a | [
"MIT"
] | 1 | 2020-12-10T07:02:06.000Z | 2020-12-10T07:02:06.000Z | import requests
"""
Delete a project version.
If there are no more versions available for a given project, that project will be deleted too.
"""
| 19.318182 | 94 | 0.691765 |
4453e7148b48df800b321d8e53272108159d1a65 | 346 | py | Python | login.py | kepler0301/test_git | 22b42b627b26224fff0bef29e43937b6a08c968a | [
"MIT"
] | 1 | 2018-12-27T12:58:46.000Z | 2018-12-27T12:58:46.000Z | login.py | kepler0301/test_git | 22b42b627b26224fff0bef29e43937b6a08c968a | [
"MIT"
] | null | null | null | login.py | kepler0301/test_git | 22b42b627b26224fff0bef29e43937b6a08c968a | [
"MIT"
] | null | null | null | print('helo world')
<<<<<<< HEAD
from flask import Flask
app = Flask(__name__)
id __name__ == '__main__'
app.run()
=======
from flask import Flask
app = Flask(__name__)
>>>>>>> b644c89d3eb5e1fcd31fedf63470ab57d597d9dd
print('bey')
num1 = 40
| 13.307692 | 48 | 0.647399 |
4453ea47443b6a656e1a8c29bb3c6e06d0db3779 | 2,922 | py | Python | tests/test_svd.py | owenl131/pylinlin | 07bb226cf5506b9e0633a35e5b4ce336ab0e5ba3 | [
"MIT"
] | null | null | null | tests/test_svd.py | owenl131/pylinlin | 07bb226cf5506b9e0633a35e5b4ce336ab0e5ba3 | [
"MIT"
] | 10 | 2020-11-12T14:46:45.000Z | 2020-11-13T05:30:36.000Z | tests/test_svd.py | owenl131/pylinlin | 07bb226cf5506b9e0633a35e5b4ce336ab0e5ba3 | [
"MIT"
] | null | null | null | import pytest
from pylinlin.matrix import Matrix
from pylinlin.matrix_view import MatrixView
import pylinlin.matrix_utils as utils
from pylinlin.svd import \
compute_svd, \
reduce_to_bidiagonal, \
compute_svd_bidiagonal
| 36.525 | 78 | 0.577687 |
4457c61974adf6ea23263c3521814d88592f3989 | 198 | py | Python | translateSfw.py | tkarabela/translate-swf | 4756079294de9faa55d95b320d9b8a5ae6c40104 | [
"MIT"
] | 1 | 2022-03-15T21:44:50.000Z | 2022-03-15T21:44:50.000Z | translateSfw.py | tkarabela/translate-swf | 4756079294de9faa55d95b320d9b8a5ae6c40104 | [
"MIT"
] | null | null | null | translateSfw.py | tkarabela/translate-swf | 4756079294de9faa55d95b320d9b8a5ae6c40104 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pyTranslateSwf
import sys
if __name__ == '__main__':
sys.exit(main())
| 15.230769 | 44 | 0.681818 |
44588a8251975fab2aceaf05fcf35cad8b89e5fe | 656 | py | Python | GT/GT_app/models.py | 10K-Linesofcode/Glowing-Tribble | be0e17ce5391b589792e4ae6b02156d7ee4ce145 | [
"MIT"
] | null | null | null | GT/GT_app/models.py | 10K-Linesofcode/Glowing-Tribble | be0e17ce5391b589792e4ae6b02156d7ee4ce145 | [
"MIT"
] | null | null | null | GT/GT_app/models.py | 10K-Linesofcode/Glowing-Tribble | be0e17ce5391b589792e4ae6b02156d7ee4ce145 | [
"MIT"
] | null | null | null |
from __future__ import unicode_literals
from django.db import models
# Create your models here.
| 22.62069 | 63 | 0.731707 |
445cac484200f11a9ce597a53a164ef8e3583569 | 13,084 | py | Python | WaveBlocksND/IOManager.py | raoulbq/WaveBlocksND | 225b5dd9b1af1998bd40b5f6467ee959292b6a83 | [
"BSD-3-Clause"
] | 3 | 2016-09-01T21:13:54.000Z | 2020-03-23T15:45:32.000Z | WaveBlocksND/IOManager.py | raoulbq/WaveBlocksND | 225b5dd9b1af1998bd40b5f6467ee959292b6a83 | [
"BSD-3-Clause"
] | null | null | null | WaveBlocksND/IOManager.py | raoulbq/WaveBlocksND | 225b5dd9b1af1998bd40b5f6467ee959292b6a83 | [
"BSD-3-Clause"
] | 6 | 2016-03-16T15:22:01.000Z | 2021-03-13T14:06:54.000Z | """The WaveBlocks Project
This file contains code for serializing simulation data.
@author: R. Bourquin
@copyright: Copyright (C) 2010, 2011, 2012, 2016 R. Bourquin
@license: Modified BSD License
"""
import os
import types
import pickle
import json
import six
import h5py as hdf
import numpy as np
__all__ = ["IOMana... | 36.64986 | 125 | 0.608759 |
445e24e9f950050d099133d81a9287a8a72037c0 | 1,738 | py | Python | models/evaluater.py | pfnet-research/step-wise-chemical-synthesis-prediction | a24a88f648d353c2833827715068c90615899ed4 | [
"MIT"
] | 13 | 2019-10-01T08:35:47.000Z | 2022-02-07T03:24:05.000Z | models/evaluater.py | pfnet-research/step-wise-chemical-synthesis-prediction | a24a88f648d353c2833827715068c90615899ed4 | [
"MIT"
] | null | null | null | models/evaluater.py | pfnet-research/step-wise-chemical-synthesis-prediction | a24a88f648d353c2833827715068c90615899ed4 | [
"MIT"
] | 2 | 2021-08-12T05:14:45.000Z | 2021-11-30T07:29:31.000Z | import chainer
from chainer import functions, reporter
import cupy as cp
| 32.792453 | 162 | 0.634062 |
445e689615f50b3103fabda264a4d3bf138fe65a | 1,968 | py | Python | Scripts/domain-db-all-domain-rates.py | colinwalshbrown/CWB_utils | 86675812f9398845d1994b57500830e2c3dc6cc0 | [
"MIT"
] | null | null | null | Scripts/domain-db-all-domain-rates.py | colinwalshbrown/CWB_utils | 86675812f9398845d1994b57500830e2c3dc6cc0 | [
"MIT"
] | null | null | null | Scripts/domain-db-all-domain-rates.py | colinwalshbrown/CWB_utils | 86675812f9398845d1994b57500830e2c3dc6cc0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import sqlite3
import matplotlib.pyplot as plt
import numpy as np
if __name__ == "__main__":
main(sys.argv[1:])
| 31.741935 | 121 | 0.552337 |
445f77fe93f324f67e10e55b0a43977d0e9569e3 | 292 | py | Python | spider/conf.py | schoeu/spid | eebb21fd41799cb077938593b4ff352b51322bc4 | [
"MIT"
] | 1 | 2018-10-18T06:59:34.000Z | 2018-10-18T06:59:34.000Z | spider/conf.py | schoeu/spid | eebb21fd41799cb077938593b4ff352b51322bc4 | [
"MIT"
] | 8 | 2021-03-18T21:11:03.000Z | 2022-03-11T23:30:58.000Z | spider/conf.py | schoeu/spid | eebb21fd41799cb077938593b4ff352b51322bc4 | [
"MIT"
] | null | null | null | import utils
import os
import json | 22.461538 | 78 | 0.664384 |
4460778f6a8c643ae09c2cfcff03efe7a38ed115 | 2,080 | py | Python | rocketbear/orderings.py | wallarelvo/rocketbear | 905c24e4243f178a50907ae965de68dc119de25d | [
"Apache-2.0"
] | 1 | 2015-04-13T09:59:21.000Z | 2015-04-13T09:59:21.000Z | rocketbear/orderings.py | wallarelvo/rocketbear | 905c24e4243f178a50907ae965de68dc119de25d | [
"Apache-2.0"
] | null | null | null | rocketbear/orderings.py | wallarelvo/rocketbear | 905c24e4243f178a50907ae965de68dc119de25d | [
"Apache-2.0"
] | null | null | null |
import graph
"""
This file contains multiple heuristics that can be used for static and
dynamic variable orderings
"""
# Used for higher order functionality
orders = {
"dsdf": DynamicSmallestDomainFirst,
"ssdf": StaticSmallestDomainFirst,
"smaf": StaticMostArcsFirst,
"dmaf": DynamicMostArcsFir... | 24.186047 | 78 | 0.647596 |
4460cfce11c83223a372c1c7e7325d7b8a9b4bfa | 617 | py | Python | src/covid_health/transcoding/names/owid.py | ggbaro/covid-health-ita | 267801c3de021078a1ca5d3b93b47515315f0300 | [
"MIT"
] | 3 | 2020-03-25T22:20:07.000Z | 2020-03-29T10:01:24.000Z | src/covid_health/transcoding/names/owid.py | ggbaro/covid-health-ita | 267801c3de021078a1ca5d3b93b47515315f0300 | [
"MIT"
] | null | null | null | src/covid_health/transcoding/names/owid.py | ggbaro/covid-health-ita | 267801c3de021078a1ca5d3b93b47515315f0300 | [
"MIT"
] | null | null | null | col = {
"owid": {
"Notes": "notes",
"Entity": "entity",
"Date": "time",
"Source URL": "src",
"Source label": "src_lb",
"Cumulative total": "tot_n_tests",
"Daily change in cumulative total": "n_tests",
"Cumulative total per thousand": "tot_n_tests_pthab... | 28.045455 | 73 | 0.559157 |
4460d19513e88f49fee31e54b8a44dfa4a3f968c | 2,221 | py | Python | models/sentry.py | m1ojk/nicedoor | d9d6a1b56ac8ba642b726aa8fe9db1f1f8a209c7 | [
"MIT"
] | null | null | null | models/sentry.py | m1ojk/nicedoor | d9d6a1b56ac8ba642b726aa8fe9db1f1f8a209c7 | [
"MIT"
] | null | null | null | models/sentry.py | m1ojk/nicedoor | d9d6a1b56ac8ba642b726aa8fe9db1f1f8a209c7 | [
"MIT"
] | null | null | null | import cv2
import time
import logging
| 35.822581 | 102 | 0.719496 |
44612610a1b1f0eb6980ce4691cd9e86d9bc0301 | 5,753 | py | Python | train.py | ajitrajasekharan/huggingface_finetune_wrapper | 772aee569fd8ed225f340a167fd7137dc49be895 | [
"MIT"
] | 1 | 2021-06-13T05:38:54.000Z | 2021-06-13T05:38:54.000Z | train.py | ajitrajasekharan/huggingface_finetune_wrapper | 772aee569fd8ed225f340a167fd7137dc49be895 | [
"MIT"
] | null | null | null | train.py | ajitrajasekharan/huggingface_finetune_wrapper | 772aee569fd8ed225f340a167fd7137dc49be895 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score
import torch
from transformers import TrainingArguments, Trainer
from transformers import BertTokenizer, BertForSequenceClassification
from tran... | 34.656627 | 159 | 0.664523 |
44619703bad870796ed0246c1284937d5fd67724 | 681 | py | Python | examples/caseless_example.py | kajuberdut/incase | 48b281ac49e22d0b76510771bfa9de9ed94d1fc4 | [
"MIT"
] | null | null | null | examples/caseless_example.py | kajuberdut/incase | 48b281ac49e22d0b76510771bfa9de9ed94d1fc4 | [
"MIT"
] | null | null | null | examples/caseless_example.py | kajuberdut/incase | 48b281ac49e22d0b76510771bfa9de9ed94d1fc4 | [
"MIT"
] | null | null | null | from incase import Case, Caseless
# Instances of Caseless are strings
example = Caseless("example string")
print(isinstance(example, str))
# True
# By property
print(example.snake)
# example_string
# Or by subscript (string or Case)
print(example["camel"])
# exampleString
print(example[Case.UPPER_SNAKE])
# EXAMPLE_... | 21.28125 | 52 | 0.754772 |
4461eff877eb304b062070484689204017151234 | 150 | py | Python | A/A 1030 In Search of an Easy Problem.py | zielman/Codeforces-solutions | 636f11a9eb10939d09d2e50ddc5ec53327d0b7ab | [
"MIT"
] | null | null | null | A/A 1030 In Search of an Easy Problem.py | zielman/Codeforces-solutions | 636f11a9eb10939d09d2e50ddc5ec53327d0b7ab | [
"MIT"
] | 1 | 2021-05-05T17:05:03.000Z | 2021-05-05T17:05:03.000Z | A/A 1030 In Search of an Easy Problem.py | zielman/Codeforces-solutions | 636f11a9eb10939d09d2e50ddc5ec53327d0b7ab | [
"MIT"
] | null | null | null | # https://codeforces.com/problemset/problem/1030/A
n = int(input())
o = list(map(int, input().split()))
print('HARD' if o.count(1) != 0 else 'EASY') | 25 | 50 | 0.646667 |
44631cbd82bde4053d51f4b0bd82dc77e1e5e801 | 1,290 | py | Python | diplomacy_research/models/gym/__init__.py | wwongkamjan/dipnet_press | 787263c1b9484698904f525c8d78d0e333e1c0d9 | [
"MIT"
] | 39 | 2019-09-06T13:42:24.000Z | 2022-03-18T18:38:43.000Z | diplomacy_research/models/gym/__init__.py | wwongkamjan/dipnet_press | 787263c1b9484698904f525c8d78d0e333e1c0d9 | [
"MIT"
] | 9 | 2019-09-19T22:35:32.000Z | 2022-02-24T18:04:57.000Z | diplomacy_research/models/gym/__init__.py | wwongkamjan/dipnet_press | 787263c1b9484698904f525c8d78d0e333e1c0d9 | [
"MIT"
] | 8 | 2019-10-16T21:09:14.000Z | 2022-02-23T05:20:37.000Z | # ==============================================================================
# Copyright 2019 - Philip Paquette
#
# NOTICE: 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 rest... | 49.615385 | 112 | 0.684496 |
44635bbeca29eba01a7b5eccef6188241ac9a808 | 4,271 | py | Python | kik_unofficial/datatypes/xmpp/history.py | TriSerpent/kik-bot-api-unofficial | 9ae9dea8a4936ba628c9ac7a749aa8d6b3e94487 | [
"MIT"
] | 120 | 2017-07-07T14:07:14.000Z | 2022-02-22T03:14:23.000Z | kik_unofficial/datatypes/xmpp/history.py | TheGreatCodeholio/kik-bot-api-unofficial | c1f02b735dcb3e1d1b5e29a1ca04dd2f66557248 | [
"MIT"
] | 173 | 2017-07-07T04:31:19.000Z | 2021-11-20T02:59:20.000Z | kik_unofficial/datatypes/xmpp/history.py | TheGreatCodeholio/kik-bot-api-unofficial | c1f02b735dcb3e1d1b5e29a1ca04dd2f66557248 | [
"MIT"
] | 101 | 2017-07-11T19:43:17.000Z | 2022-03-03T02:04:05.000Z | from bs4 import BeautifulSoup
import time
from kik_unofficial.datatypes.xmpp.base_elements import XMPPElement, XMPPResponse
| 39.546296 | 114 | 0.453055 |
44682de12346bdb7a5f9ddce92b3b5515a1d9846 | 826 | py | Python | tests/test_flavor.py | cloudscale-ch/cloudscale-python-sdk | 67f9509f698dbaba529f183ba50694770a0c64bd | [
"MIT"
] | 2 | 2020-07-18T16:43:32.000Z | 2020-11-14T12:51:38.000Z | tests/test_flavor.py | cloudscale-ch/cloudscale-python-sdk | 67f9509f698dbaba529f183ba50694770a0c64bd | [
"MIT"
] | 4 | 2020-08-20T08:38:06.000Z | 2020-12-09T22:12:05.000Z | tests/test_flavor.py | cloudscale-ch/cloudscale-python-sdk | 67f9509f698dbaba529f183ba50694770a0c64bd | [
"MIT"
] | null | null | null | import responses
from cloudscale import (
CLOUDSCALE_API_URL,
Cloudscale,
CloudscaleApiException,
CloudscaleException,
)
FLAVOR_RESP = {
"slug": "flex-2",
"name": "Flex-2",
"vcpu_count": 1,
"memory_gb": 2,
"zones": [{"slug": "rma1"}, {"slug": "lpg1"}],
}
| 25.8125 | 86 | 0.644068 |
4468581d70ebf3e6fb721882f185cef4082b1c84 | 7,213 | py | Python | cogs/order.py | SilentSerenityy/JDBot | cd404000f06d51757439e435b2aaedbbab233144 | [
"MIT"
] | null | null | null | cogs/order.py | SilentSerenityy/JDBot | cd404000f06d51757439e435b2aaedbbab233144 | [
"MIT"
] | null | null | null | cogs/order.py | SilentSerenityy/JDBot | cd404000f06d51757439e435b2aaedbbab233144 | [
"MIT"
] | null | null | null | import os, discord, time, async_cse, random, TenGiphPy
from discord.ext import commands
from difflib import SequenceMatcher
from discord.ext.commands.cooldowns import BucketType
tenor_client = TenGiphPy.Tenor(token=os.environ["tenor_key"])
giphy_client = TenGiphPy.Giphy(token=os.environ["giphy_token"]) | 43.451807 | 163 | 0.694579 |
44685ac8d733d07256270373907d763751c70fec | 1,567 | py | Python | gui_pyside6/ejemplo_cuatro/manejo_eventos.py | JuanDuran85/ejemplos_python | 47aa49c65384ab89654f362f3da6cd2b0ef386e5 | [
"Apache-2.0"
] | null | null | null | gui_pyside6/ejemplo_cuatro/manejo_eventos.py | JuanDuran85/ejemplos_python | 47aa49c65384ab89654f362f3da6cd2b0ef386e5 | [
"Apache-2.0"
] | null | null | null | gui_pyside6/ejemplo_cuatro/manejo_eventos.py | JuanDuran85/ejemplos_python | 47aa49c65384ab89654f362f3da6cd2b0ef386e5 | [
"Apache-2.0"
] | null | null | null | # signals (eventos) y slots (metodos que procesan los eventos)
from PySide6.QtWidgets import QApplication, QMainWindow, QPushButton, QWidget, QVBoxLayout, QHBoxLayout, QLabel, QLineEdit, QMessageBox
from PySide6.QtCore import QSize
import sys
if __name__ == '__main__':
app = QApplication(sys.argv)
ven... | 40.179487 | 135 | 0.67709 |
44689571888025e3ab953e020afce0ebacd74326 | 2,650 | py | Python | util/format_files.py | tammam1998/PCDet | ad5b24934fb35892ff073e364dab6acadbd3f135 | [
"Apache-2.0"
] | null | null | null | util/format_files.py | tammam1998/PCDet | ad5b24934fb35892ff073e364dab6acadbd3f135 | [
"Apache-2.0"
] | null | null | null | util/format_files.py | tammam1998/PCDet | ad5b24934fb35892ff073e364dab6acadbd3f135 | [
"Apache-2.0"
] | null | null | null | from utils import *
from sys import argv
import os
DEFUALT_PATH = os.path.realpath(__file__).replace("/format_files.py", "")
def make_image_dir(to_path, filenames):
""" takes a list of filenames and makes a sample image for each to match kitti format"""
image_dir = os.path.join(to_path, "image_2")
os.make... | 36.805556 | 97 | 0.651698 |
446910272f530e7a9c174ed37e4268b3d0995159 | 29,890 | py | Python | src/rc_icons.py | lmdu/dockey | a8ae34c780c952cb26270a173de08897b34c7252 | [
"MIT"
] | null | null | null | src/rc_icons.py | lmdu/dockey | a8ae34c780c952cb26270a173de08897b34c7252 | [
"MIT"
] | null | null | null | src/rc_icons.py | lmdu/dockey | a8ae34c780c952cb26270a173de08897b34c7252 | [
"MIT"
] | null | null | null | # Resource object code (Python 3)
# Created by: object code
# Created by: The Resource Compiler for Qt version 6.3.0
# WARNING! All changes made in this file will be lost!
from PySide6 import QtCore
qt_resource_data = b"\
\x00\x00\x02\xd8\
<\
?xml version=\x221.\
0\x22 encoding=\x22utf\
-8\x22?>\x0d\x0a<!-- Gene\
rat... | 21.801605 | 96 | 0.636434 |
446b3bdff2cf45475da4bdea7030cc7a2b669e73 | 1,405 | py | Python | procyclist/config.py | Arham-Aalam/procyclist_performance | 494f86fb76472d9642ff4a283bdc91cba4770edc | [
"MIT"
] | 11 | 2018-09-03T10:38:14.000Z | 2021-04-21T23:51:32.000Z | procyclist/config.py | Arham-Aalam/procyclist_performance | 494f86fb76472d9642ff4a283bdc91cba4770edc | [
"MIT"
] | 10 | 2018-11-28T20:35:54.000Z | 2021-05-24T09:01:18.000Z | procyclist/config.py | Arham-Aalam/procyclist_performance | 494f86fb76472d9642ff4a283bdc91cba4770edc | [
"MIT"
] | 6 | 2018-11-13T12:12:31.000Z | 2022-01-06T19:13:01.000Z | import abc
import numpy as np
import tensorflow as tf
| 23.032787 | 80 | 0.600712 |
446bc24aa0d51aebb62f5751f6f5954d3e059d78 | 1,223 | py | Python | main.py | madhavan-raja/universal-reddit-reader | fb0286eba0465f969c62d96982631fccaf0a94bb | [
"MIT"
] | null | null | null | main.py | madhavan-raja/universal-reddit-reader | fb0286eba0465f969c62d96982631fccaf0a94bb | [
"MIT"
] | null | null | null | main.py | madhavan-raja/universal-reddit-reader | fb0286eba0465f969c62d96982631fccaf0a94bb | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, url_for
import praw
import json
import random
import markdown2
creds = json.load(open("credentials.json"))
subs = [
'nosleep',
'ProRevenge',
'NuclearRevenge'
]
LIMIT = 100
app = Flask(__name__)
if __name__ == '__main__':
app.ru... | 29.829268 | 248 | 0.69583 |
446c2ae8c6bf8f99edbaa2c4f1abc4a583ee51c3 | 8,259 | py | Python | app.py | snoop2head/indigo | 9468491cfc18d39ff5994bb4ee2d0d891067867d | [
"MIT"
] | 1 | 2019-08-24T14:13:20.000Z | 2019-08-24T14:13:20.000Z | app.py | snoop2head/Open_Race_of_Development_Indie_Band | 9468491cfc18d39ff5994bb4ee2d0d891067867d | [
"MIT"
] | 2 | 2021-04-30T21:00:26.000Z | 2021-06-02T00:59:08.000Z | app.py | snoop2head/Open_Race_of_Development_Indie_Band | 9468491cfc18d39ff5994bb4ee2d0d891067867d | [
"MIT"
] | null | null | null | from flask import Flask, request, jsonify
from db_user_interactions import user_respond
from pymongo import MongoClient
from datetime import date, datetime, timedelta
import re
#today's date
today_int = date.today()
print("test_app - Today's date:", today_int)
today_str = str(today_int)
#mongodb setup
client = MongoC... | 32.644269 | 116 | 0.403197 |
446f83409f2113d5e1b2ac5413dde30c7a47c64e | 3,270 | py | Python | sc_qiskitFilter.py | stroblme/hqsp-stqft | c2f8f8964648578755d3938bf8658e4c834548e8 | [
"MIT"
] | null | null | null | sc_qiskitFilter.py | stroblme/hqsp-stqft | c2f8f8964648578755d3938bf8658e4c834548e8 | [
"MIT"
] | null | null | null | sc_qiskitFilter.py | stroblme/hqsp-stqft | c2f8f8964648578755d3938bf8658e4c834548e8 | [
"MIT"
] | null | null | null | from qft import get_fft_from_counts, loadBackend, qft_framework
from fft import fft_framework
from frontend import frontend, signal, transform
from qiskit.circuit.library import QFT as qiskit_qft
# --- Standard imports
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, e... | 23.357143 | 125 | 0.76422 |
4471012b0e0606129edb11e34f8104b453eec981 | 2,551 | py | Python | resources/Presentation.py | radovankavicky/conference_scheduler | 6fbb38f95051199210796d345a8781c63aff959e | [
"Apache-2.0"
] | 3 | 2018-04-02T06:45:19.000Z | 2021-06-28T13:54:29.000Z | resources/Presentation.py | Suvink/conference_scheduler | 6fbb38f95051199210796d345a8781c63aff959e | [
"Apache-2.0"
] | null | null | null | resources/Presentation.py | Suvink/conference_scheduler | 6fbb38f95051199210796d345a8781c63aff959e | [
"Apache-2.0"
] | 1 | 2018-09-01T15:43:07.000Z | 2018-09-01T15:43:07.000Z | import json
import datetime as datetime
from typing import List, Set
# optional norlize talk types
types = {
'h_180': 'help desk',
'h': 'help desk', # 2015
'r_180': 'training',
't': 'training', # 2015
't_30': 'talk 30 Min',
't_45': 'talk 45 Min',
't_60': 'talk 60 Min',
's': 'talk 30+45... | 26.572917 | 117 | 0.540572 |
447112b6fa86b5ec0c006f66a69b184bd85f3270 | 267 | py | Python | recursion/base_converter.py | Yasir323/Data-Structures-and-Algorithms-in-Python | b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0 | [
"MIT"
] | null | null | null | recursion/base_converter.py | Yasir323/Data-Structures-and-Algorithms-in-Python | b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0 | [
"MIT"
] | null | null | null | recursion/base_converter.py | Yasir323/Data-Structures-and-Algorithms-in-Python | b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0 | [
"MIT"
] | null | null | null |
print(decimal2base(1453, 16))
| 24.272727 | 62 | 0.677903 |
4473079529dd5e75b3a6bb336fc7b57ed2937e16 | 3,894 | py | Python | nova/db/sqlalchemy/migrate_repo/versions/115_make_user_quotas_key_and_value.py | dreamhost/nova | 066a3d4c410056689b5843d9520f43b2b6e7d127 | [
"Apache-2.0"
] | 1 | 2019-11-06T12:21:59.000Z | 2019-11-06T12:21:59.000Z | nova/db/sqlalchemy/migrate_repo/versions/115_make_user_quotas_key_and_value.py | dreamhost/nova | 066a3d4c410056689b5843d9520f43b2b6e7d127 | [
"Apache-2.0"
] | null | null | null | nova/db/sqlalchemy/migrate_repo/versions/115_make_user_quotas_key_and_value.py | dreamhost/nova | 066a3d4c410056689b5843d9520f43b2b6e7d127 | [
"Apache-2.0"
] | 2 | 2019-12-23T18:06:28.000Z | 2020-07-24T08:44:28.000Z | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 OpenStack LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 40.989474 | 78 | 0.586543 |
4473dea74ad824b410db2d46eaf6858a8677dd85 | 857 | py | Python | src/bin_print.py | wykys/MIKS-FSK | a28255a1a184fb0b9753fcb133ea12e1b75ae93d | [
"MIT"
] | null | null | null | src/bin_print.py | wykys/MIKS-FSK | a28255a1a184fb0b9753fcb133ea12e1b75ae93d | [
"MIT"
] | null | null | null | src/bin_print.py | wykys/MIKS-FSK | a28255a1a184fb0b9753fcb133ea12e1b75ae93d | [
"MIT"
] | null | null | null | # wykys 2019
| 26.78125 | 74 | 0.424737 |
44753690a6f52033d694b5d7fcc31dbb08db5c3c | 1,527 | py | Python | mmrotate/models/detectors/oriented_rcnn.py | liuyanyi/mmrotate | d80310aa2c4a67c877c62432cddee246d2a4dbcd | [
"Apache-2.0"
] | 449 | 2022-02-18T08:26:58.000Z | 2022-03-31T11:58:32.000Z | mmrotate/models/detectors/oriented_rcnn.py | liuyanyi/mmrotate | d80310aa2c4a67c877c62432cddee246d2a4dbcd | [
"Apache-2.0"
] | 162 | 2022-02-18T09:54:46.000Z | 2022-03-31T15:40:46.000Z | mmrotate/models/detectors/oriented_rcnn.py | liuyanyi/mmrotate | d80310aa2c4a67c877c62432cddee246d2a4dbcd | [
"Apache-2.0"
] | 98 | 2022-02-18T08:28:48.000Z | 2022-03-31T08:52:11.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import ROTATED_DETECTORS
from .two_stage import RotatedTwoStageDetector
| 29.941176 | 141 | 0.585462 |
44755cd5a2c76db41cda5c1690ebfe260273ba7d | 3,008 | py | Python | beam.py | alexzhou007/VIF | ce2a97eb0cb6f056c570adb2b32c69adb1ae3c22 | [
"MIT"
] | 3 | 2018-11-08T17:45:20.000Z | 2019-08-05T14:38:32.000Z | beam.py | alexzhou007/VIF | ce2a97eb0cb6f056c570adb2b32c69adb1ae3c22 | [
"MIT"
] | null | null | null | beam.py | alexzhou007/VIF | ce2a97eb0cb6f056c570adb2b32c69adb1ae3c22 | [
"MIT"
] | 1 | 2018-11-05T13:01:30.000Z | 2018-11-05T13:01:30.000Z | import numpy as np
import cv2
import wall
SAME_LINE_THRESHOLD = 100
SAME_LEVEL_THRESHOLD = 8
SHORT_LINE_LENGTH = 10
BLEED_THRESHOLD = 10
| 30.383838 | 128 | 0.65758 |
4476220506d945bb783299ab9c689b2af1b83a67 | 1,363 | py | Python | tests/test_modifiers.py | mbillingr/friendly-iter | 77e1ce72100f592b6155a2152fcc03165af22714 | [
"MIT"
] | null | null | null | tests/test_modifiers.py | mbillingr/friendly-iter | 77e1ce72100f592b6155a2152fcc03165af22714 | [
"MIT"
] | null | null | null | tests/test_modifiers.py | mbillingr/friendly-iter | 77e1ce72100f592b6155a2152fcc03165af22714 | [
"MIT"
] | null | null | null | from unittest.mock import Mock
import pytest
from friendly_iter.iterator_modifiers import flatten, take, skip, step
| 21.296875 | 70 | 0.663977 |
44762645211964973e9a09e8d66e0bf5a566fa40 | 189 | py | Python | mysite/documents/urls.py | JarvisDong/Project-CGD | e499e13f358629583faf2778d8ba55852cf4cecf | [
"MIT"
] | null | null | null | mysite/documents/urls.py | JarvisDong/Project-CGD | e499e13f358629583faf2778d8ba55852cf4cecf | [
"MIT"
] | null | null | null | mysite/documents/urls.py | JarvisDong/Project-CGD | e499e13f358629583faf2778d8ba55852cf4cecf | [
"MIT"
] | null | null | null | # URLconf: map the index view in view.py to a URL
from django.conf.urls import url
from . import views
from django.views.generic import TemplateView
app_name = 'documents'
urlpatterns = [] | 27 | 49 | 0.772487 |
44762b0d5bcbe4b280011acbe66456167cfb82a3 | 7,580 | py | Python | arabert_summarize_example.py | abdullah-abunada/bert-extractive-summarizer | 45e69deed3dcc00c4073cb07507889ff44f1ca72 | [
"MIT"
] | 2 | 2021-10-02T08:12:35.000Z | 2022-01-09T20:41:14.000Z | arabert_summarize_example.py | abdullah-abunada/bert-extractive-summarizer | 45e69deed3dcc00c4073cb07507889ff44f1ca72 | [
"MIT"
] | null | null | null | arabert_summarize_example.py | abdullah-abunada/bert-extractive-summarizer | 45e69deed3dcc00c4073cb07507889ff44f1ca72 | [
"MIT"
] | 1 | 2021-12-29T21:53:31.000Z | 2021-12-29T21:53:31.000Z | from summarizer import Summarizer
from transformers import AutoTokenizer, AutoModel
from rouge import Rouge
body='''
7 .
.
14 .
.
.
.
... | 118.4375 | 346 | 0.812797 |
44776d097711791cd8a71768586b334500f83487 | 3,669 | py | Python | samples/CSP/sco2_analysis_python/examples/examples_main.py | ozsolarwind/SAM | 0967b0a4be8f8924ec1ad915a14575ac22c4ec3c | [
"MIT"
] | null | null | null | samples/CSP/sco2_analysis_python/examples/examples_main.py | ozsolarwind/SAM | 0967b0a4be8f8924ec1ad915a14575ac22c4ec3c | [
"MIT"
] | null | null | null | samples/CSP/sco2_analysis_python/examples/examples_main.py | ozsolarwind/SAM | 0967b0a4be8f8924ec1ad915a14575ac22c4ec3c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 9 10:56:12 2017
@author: tneises
"""
import json
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.lines as mlines
import sys
import os
absFilePath = os.path.abspath(__file__)
fileDir = os.path.dirname(os.path.abspath(__file__))
parentDir = os.pat... | 34.613208 | 105 | 0.693922 |
4477c20c7b94d6aa48f1758a3091efc8952c26c4 | 11,944 | py | Python | Application/StudentModule.py | nimitpatel26/Book-Fetch | 1d23ff273206dd31d3c05d038468cb407cd886d1 | [
"MIT"
] | null | null | null | Application/StudentModule.py | nimitpatel26/Book-Fetch | 1d23ff273206dd31d3c05d038468cb407cd886d1 | [
"MIT"
] | null | null | null | Application/StudentModule.py | nimitpatel26/Book-Fetch | 1d23ff273206dd31d3c05d038468cb407cd886d1 | [
"MIT"
] | null | null | null | from random import randint
import datetime
import pymysql
import cgi
| 36.525994 | 123 | 0.48786 |
447b46504e3f133d3560744b576f31426d682d53 | 1,242 | py | Python | app/main/forms.py | macymuhia/Blogspot | b1a578a4120bebb2c4c2a57201ac43eec7a161e9 | [
"MIT"
] | null | null | null | app/main/forms.py | macymuhia/Blogspot | b1a578a4120bebb2c4c2a57201ac43eec7a161e9 | [
"MIT"
] | 6 | 2021-02-08T20:33:48.000Z | 2022-03-11T23:56:14.000Z | app/main/forms.py | macymuhia/Blogspot | b1a578a4120bebb2c4c2a57201ac43eec7a161e9 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, SubmitField, SelectField
from wtforms.validators import Required
# class DeletePost(FlaskForm):
# comment_id = StringField()
# delete = SubmitField('Delete')
| 27 | 79 | 0.650564 |
447c96e01f699a1d061bedede73a165b4923aa49 | 404 | py | Python | backend/apps/role/migrations/0003_auto_20200329_1414.py | highproformas-friends/curaSWISS | cf6c1ac9c0c80026f1667a7155290c37be8dec7c | [
"MIT"
] | 3 | 2020-03-27T20:39:31.000Z | 2020-03-31T20:24:55.000Z | backend/apps/role/migrations/0003_auto_20200329_1414.py | highproformas-friends/curaSWISS | cf6c1ac9c0c80026f1667a7155290c37be8dec7c | [
"MIT"
] | 21 | 2020-03-28T09:57:15.000Z | 2020-03-31T11:38:00.000Z | backend/apps/role/migrations/0003_auto_20200329_1414.py | highproformas-friends/curaSWISS | cf6c1ac9c0c80026f1667a7155290c37be8dec7c | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2020-03-29 14:14
from django.db import migrations, models
| 21.263158 | 75 | 0.596535 |
447d2c4718f328072ba8ec1b22b096da2c86ad41 | 2,210 | py | Python | goslinks/db/models.py | RevolutionTech/goslinks | fedb91a0d4ab227ba926f4588c7feeb3af284d2b | [
"0BSD"
] | 1 | 2020-01-22T20:49:38.000Z | 2020-01-22T20:49:38.000Z | goslinks/db/models.py | RevolutionTech/goslinks | fedb91a0d4ab227ba926f4588c7feeb3af284d2b | [
"0BSD"
] | 99 | 2019-06-04T06:12:04.000Z | 2021-10-09T22:18:42.000Z | goslinks/db/models.py | RevolutionTech/goslinks | fedb91a0d4ab227ba926f4588c7feeb3af284d2b | [
"0BSD"
] | null | null | null | from pynamodb.attributes import UnicodeAttribute
MODEL_REGISTRY = {"user": UserModel, "link": LinkModel}
| 25.697674 | 86 | 0.623529 |
447db70fcaa354f16105d556a4943d598b33148f | 816 | py | Python | scifiweb/urls.py | project-scifi/scifiweb | cc51d9ea6e7f302c503174e92029188a7e252753 | [
"Apache-2.0"
] | 1 | 2018-04-18T04:37:43.000Z | 2018-04-18T04:37:43.000Z | scifiweb/urls.py | project-scifi/scifiweb | cc51d9ea6e7f302c503174e92029188a7e252753 | [
"Apache-2.0"
] | 12 | 2017-06-26T05:20:28.000Z | 2022-01-13T00:48:58.000Z | scifiweb/urls.py | project-scifi/scifiweb | cc51d9ea6e7f302c503174e92029188a7e252753 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import include
from django.conf.urls import url
from django.shortcuts import redirect
from django.shortcuts import reverse
import scifiweb.about.urls
import scifiweb.news.urls
from scifiweb.home import home
from scifiweb.robots import robots_dot_txt
urlpatterns = [
url(r'^$', home, name='hom... | 35.478261 | 95 | 0.720588 |
447dd172df06dd5c29acac5e5539b2c7e9813f1e | 5,234 | py | Python | heltour/tournament/tests/test_login.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 41 | 2016-08-17T19:58:42.000Z | 2021-11-08T10:52:07.000Z | heltour/tournament/tests/test_login.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 257 | 2016-08-17T22:29:05.000Z | 2022-01-13T00:42:05.000Z | heltour/tournament/tests/test_login.py | zbidwell/heltour | 3895142695096a81cc65c3fefb7d4501ed796f46 | [
"MIT"
] | 31 | 2016-09-23T23:36:14.000Z | 2022-01-14T17:05:08.000Z | import datetime
import responses
from django.test import TestCase
from unittest.mock import patch
from heltour.tournament import oauth
from .testutils import *
| 47.581818 | 95 | 0.661827 |
447e060bfaf57ff9d2bd90b071b3844072392c17 | 3,912 | py | Python | tests/test_file_structure.py | ChrisWellsWood/carpyt | 6bdabd4924d0af5a83863dc25bec8961f321daaa | [
"MIT"
] | null | null | null | tests/test_file_structure.py | ChrisWellsWood/carpyt | 6bdabd4924d0af5a83863dc25bec8961f321daaa | [
"MIT"
] | null | null | null | tests/test_file_structure.py | ChrisWellsWood/carpyt | 6bdabd4924d0af5a83863dc25bec8961f321daaa | [
"MIT"
] | null | null | null | """Tests for creating file structure."""
import os
from pathlib import Path
import tempfile
from unittest import TestCase
import carpyt
TEST_TEMPLATES = Path(os.path.abspath(__file__)).parent / 'test_templates'
| 43.466667 | 74 | 0.650562 |
447ff5764e0b94f97e6c66b9deb62f15c5007620 | 535 | py | Python | solutions/Array-02.py | mrocklin/dask-tutorial | efb87e83eefa816ef23083fc1329af1d7da452a8 | [
"BSD-3-Clause"
] | 2 | 2018-03-17T16:41:28.000Z | 2019-06-19T06:38:06.000Z | solutions/Array-02.py | mrocklin/dask-tutorial | efb87e83eefa816ef23083fc1329af1d7da452a8 | [
"BSD-3-Clause"
] | null | null | null | solutions/Array-02.py | mrocklin/dask-tutorial | efb87e83eefa816ef23083fc1329af1d7da452a8 | [
"BSD-3-Clause"
] | 3 | 2018-07-13T15:33:55.000Z | 2020-11-29T14:27:45.000Z | import h5py
from glob import glob
import os
filenames = sorted(glob(os.path.join('data', 'weather-big', '*.hdf5')))
dsets = [h5py.File(filename)['/t2m'] for filename in filenames]
import dask.array as da
arrays = [da.from_array(dset, chunks=(500, 500)) for dset in dsets]
x = da.stack(arrays, axis=0)
result = x.mean... | 24.318182 | 71 | 0.699065 |
448053e30b8251f7c76cad61ff98d10c9caa5bc1 | 2,944 | py | Python | auto-test/pytest_main.py | asterfusion/Tapplet | 917020fce2aaa2678c36a91fb91f60b36142ad9e | [
"Apache-2.0"
] | 1 | 2019-12-30T11:49:35.000Z | 2019-12-30T11:49:35.000Z | auto-test/pytest_main.py | asterfusion/Tapplet | 917020fce2aaa2678c36a91fb91f60b36142ad9e | [
"Apache-2.0"
] | null | null | null | auto-test/pytest_main.py | asterfusion/Tapplet | 917020fce2aaa2678c36a91fb91f60b36142ad9e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import pytest
import argparse
import configparser
from tools.rest_tools import *
from tools.rest_helper import *
parser = argparse.ArgumentParser(description="Single test")
parser.add_argument( '-m', '--mod_name', help="exec only one directory under tapplet/")
parser.add_argument( '-f', '--t... | 33.078652 | 125 | 0.66712 |
44816770ada7ebc5eb5982830625b9550b145802 | 408 | py | Python | Flask/server/config.py | VincentParsons/DigSig | 195c97e34237dab78de40efd2d3a1e0269a82b70 | [
"MIT"
] | null | null | null | Flask/server/config.py | VincentParsons/DigSig | 195c97e34237dab78de40efd2d3a1e0269a82b70 | [
"MIT"
] | 1 | 2022-02-13T01:23:59.000Z | 2022-02-13T01:23:59.000Z | Flask/server/config.py | VincentParsons/DigSig | 195c97e34237dab78de40efd2d3a1e0269a82b70 | [
"MIT"
] | null | null | null | from dotenv import load_dotenv
import os
load_dotenv()
| 20.4 | 54 | 0.732843 |
44817e771a2edf24c0ddc2da2aab4dd39a0fd550 | 3,280 | py | Python | covigator/precomputations/load_top_occurrences.py | TRON-Bioinformatics/covigator | 59cd5012217cb043d97c77ce5273d8930e74390d | [
"MIT"
] | 7 | 2021-07-23T14:09:51.000Z | 2022-01-26T20:26:27.000Z | covigator/precomputations/load_top_occurrences.py | TRON-Bioinformatics/covigator | 59cd5012217cb043d97c77ce5273d8930e74390d | [
"MIT"
] | 2 | 2021-07-27T08:30:22.000Z | 2022-02-22T20:06:05.000Z | covigator/precomputations/load_top_occurrences.py | TRON-Bioinformatics/covigator | 59cd5012217cb043d97c77ce5273d8930e74390d | [
"MIT"
] | null | null | null | from typing import List
import pandas as pd
from logzero import logger
from sqlalchemy.orm import Session
from covigator import SYNONYMOUS_VARIANT, MISSENSE_VARIANT
from covigator.database.model import DataSource, PrecomputedSynonymousNonSynonymousCounts, RegionType, \
VARIANT_OBSERVATION_TABLE_NAME, SAMPLE_ENA_TA... | 38.588235 | 109 | 0.670427 |
448311e46f0ca162a8f3845e469f641ffd0d79ff | 3,029 | py | Python | petrarch2/readBBN.py | Sayeedsalam/political-actor-recommender | 20dbc37ac419e4ecd5436d4e5b9685846639b2bc | [
"MIT"
] | 1 | 2018-03-15T09:48:28.000Z | 2018-03-15T09:48:28.000Z | petrarch2/readBBN.py | Sayeedsalam/political-actor-recommender | 20dbc37ac419e4ecd5436d4e5b9685846639b2bc | [
"MIT"
] | null | null | null | petrarch2/readBBN.py | Sayeedsalam/political-actor-recommender | 20dbc37ac419e4ecd5436d4e5b9685846639b2bc | [
"MIT"
] | null | null | null | __author__ = 'root'
import json
from cameoxml import cameoxml
from StringIO import StringIO
discard_words_set = set(['THE', 'A', 'AN', 'OF', 'IN', 'AT', 'OUT', '', ' '])
# response = cameoxml.send_document('The American president Barack Obama met with Putin.', hostname='10.176.148.60', port=8001, document_da... | 31.226804 | 183 | 0.638495 |
448425d1503d367721976154b4af5535896d4e6c | 4,178 | py | Python | utilis/evaluation.py | jianghan2013/NMR_clustering | 9cf2285101dd0fc9a1274e102c8ea094053c4a17 | [
"MIT"
] | null | null | null | utilis/evaluation.py | jianghan2013/NMR_clustering | 9cf2285101dd0fc9a1274e102c8ea094053c4a17 | [
"MIT"
] | null | null | null | utilis/evaluation.py | jianghan2013/NMR_clustering | 9cf2285101dd0fc9a1274e102c8ea094053c4a17 | [
"MIT"
] | null | null | null | ### evaluation
import numpy as np
from sklearn.linear_model import LinearRegression
def get_ratio_range(X_train, y_pred):
"""
Compute range ratio index
"""
range_ratios=[]
n_components = max(y_pred)+1
for i in range(n_components):
X_train_i = X_train[y_pred==i]
T2_v = 10**(X_tr... | 41.366337 | 153 | 0.608186 |
44858cf0de73a5d338b1c6ecbc4904c2ec0268d9 | 1,464 | py | Python | userManagment/userManager.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | userManagment/userManager.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | userManagment/userManager.py | uzairAK/serverom-panel | 3dcde05ad618e6bef280db7d3180f926fe2ab1db | [
"MIT"
] | null | null | null | #!/usr/local/CyberCP/bin/python
import os, sys
sys.path.append('/usr/local/CyberCP')
import django
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "CyberCP.settings")
django.setup()
import threading as multi
from plogical.acl import ACLManager
from plogical.CyberCPLogFileWriter import CyberCPLogFileWriter as logging
| 31.148936 | 102 | 0.619536 |
4485c2de2544e40db08213560e7dfbba9933c235 | 245 | py | Python | examples/python/corepy/userandom.py | airgiser/ucb | d03e62a17f35a9183ed36662352f603f0f673194 | [
"MIT"
] | 1 | 2022-01-08T14:59:44.000Z | 2022-01-08T14:59:44.000Z | examples/python/corepy/userandom.py | airgiser/just-for-fun | d03e62a17f35a9183ed36662352f603f0f673194 | [
"MIT"
] | null | null | null | examples/python/corepy/userandom.py | airgiser/just-for-fun | d03e62a17f35a9183ed36662352f603f0f673194 | [
"MIT"
] | null | null | null | #!/usr/bin/python
from random import Random
onelist = [1, 2, 3, 4, 5, 6, 7]
rd = Random()
for i in range(5):
print(rd.randint(0, 100))
print(rd.uniform(0, 100))
print(rd.random())
print(rd.choice(onelist))
print('-' * 30)
| 17.5 | 31 | 0.587755 |
44867576f7b712888203781d9257b7fe360df819 | 2,763 | py | Python | src/third_party/beaengine/tests/0f388c.py | CrackerCat/rp | 5fe693c26d76b514efaedb4084f6e37d820db023 | [
"MIT"
] | 1 | 2022-01-17T17:40:29.000Z | 2022-01-17T17:40:29.000Z | src/third_party/beaengine/tests/0f388c.py | CrackerCat/rp | 5fe693c26d76b514efaedb4084f6e37d820db023 | [
"MIT"
] | null | null | null | src/third_party/beaengine/tests/0f388c.py | CrackerCat/rp | 5fe693c26d76b514efaedb4084f6e37d820db023 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This progra... | 37.849315 | 81 | 0.652552 |
44877d856034bf8fe04f668f3d82b679a04011e9 | 516 | py | Python | productdb/testing/unittests/products.py | tspycher/python-productdb | 17970a681b32eb249b78fab7dbeaee9d63ca7c05 | [
"MIT"
] | null | null | null | productdb/testing/unittests/products.py | tspycher/python-productdb | 17970a681b32eb249b78fab7dbeaee9d63ca7c05 | [
"MIT"
] | null | null | null | productdb/testing/unittests/products.py | tspycher/python-productdb | 17970a681b32eb249b78fab7dbeaee9d63ca7c05 | [
"MIT"
] | null | null | null | from . import BasicTestCase
| 21.5 | 66 | 0.625969 |
448799a4fc1952a7fcd243848401d2c0a08268d0 | 196 | py | Python | src/main.py | Quin-Darcy/Crawler | 3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1 | [
"MIT"
] | null | null | null | src/main.py | Quin-Darcy/Crawler | 3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1 | [
"MIT"
] | null | null | null | src/main.py | Quin-Darcy/Crawler | 3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1 | [
"MIT"
] | null | null | null | import crawler
import os
if __name__ == '__main__':
main()
| 13.066667 | 32 | 0.617347 |
448833e3b59142ea7c65646061303d7a33f3c57f | 538 | py | Python | modulo 2/Exercicios/Ex058.1 - Palpite.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | modulo 2/Exercicios/Ex058.1 - Palpite.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | modulo 2/Exercicios/Ex058.1 - Palpite.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | from random import randint
computador = randint(0, 10)
print('Sou seu computador... Acabei de pensar em um numero entre 0 e 10')
print('Tente adivinhar qual foi')
acertou = False
palpite = 0
while not acertou:
jogador = int(input('Digite um numero entre 0 e 10: '))
palpite += 1
if jogador == computador:
... | 25.619048 | 73 | 0.637546 |
448a636d024dfa5f84fbc271a201ee5abe77a7d5 | 2,118 | py | Python | jerk_agent_for_understanding/scripts/map-paths.py | tristansokol/Bobcats | 71461b5c969b24e5379a63d2bc22bf173ae76f9b | [
"MIT"
] | 2 | 2018-06-20T13:36:54.000Z | 2018-10-28T17:06:31.000Z | jerk_agent_for_understanding/scripts/map-paths.py | tristansokol/Bobcats | 71461b5c969b24e5379a63d2bc22bf173ae76f9b | [
"MIT"
] | null | null | null | jerk_agent_for_understanding/scripts/map-paths.py | tristansokol/Bobcats | 71461b5c969b24e5379a63d2bc22bf173ae76f9b | [
"MIT"
] | 1 | 2019-04-30T06:24:03.000Z | 2019-04-30T06:24:03.000Z | #!/usr/bin/python
import sys
import retro
import numpy as np
from os import listdir
from os.path import isfile, join, isdir, dirname, realpath
from PIL import Image
# find level maps here: http://info.sonicretro.org/Sonic_the_Hedgehog_(16-bit)_level_maps
mp = Image.open(dirname(realpath(__file__))+"/01.PNG")
mp.load... | 33.09375 | 109 | 0.566572 |
4491484c500017a7a5d3c28b0aff70d389c8e7ae | 3,643 | py | Python | src/TensorFlow/venv/Lab/Tutorials/Models/SaveRestore.py | KarateJB/Python.Practice | a5f00f669dc4b815601c093ce0753a0a82b4328a | [
"MIT"
] | 1 | 2020-08-14T07:21:05.000Z | 2020-08-14T07:21:05.000Z | src/TensorFlow/venv/Lab/Tutorials/Models/SaveRestore.py | KarateJB/Python.Practice | a5f00f669dc4b815601c093ce0753a0a82b4328a | [
"MIT"
] | null | null | null | src/TensorFlow/venv/Lab/Tutorials/Models/SaveRestore.py | KarateJB/Python.Practice | a5f00f669dc4b815601c093ce0753a0a82b4328a | [
"MIT"
] | 3 | 2018-04-08T13:35:20.000Z | 2019-09-01T04:59:03.000Z | """Save and Load model sample
See https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/4_Utils/save_restore_model.py
"""
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data
import os
# Initialize random weights
# De... | 36.43 | 138 | 0.682954 |
449284bb2c40e87e204639779832368eaadcd46c | 2,113 | py | Python | complexity/utils.py | remiomosowon/complexity | 710dc771b11c65fb65820cfb2a519dd749c65419 | [
"BSD-3-Clause"
] | 59 | 2015-02-08T19:38:03.000Z | 2020-05-24T19:34:43.000Z | complexity/utils.py | remiomosowon/complexity | 710dc771b11c65fb65820cfb2a519dd749c65419 | [
"BSD-3-Clause"
] | 11 | 2015-01-25T12:15:02.000Z | 2020-01-01T18:53:31.000Z | complexity/utils.py | remiomosowon/complexity | 710dc771b11c65fb65820cfb2a519dd749c65419 | [
"BSD-3-Clause"
] | 29 | 2015-01-13T16:53:27.000Z | 2020-08-01T12:37:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
complexity.utils
----------------
Helper functions used throughout Complexity.
"""
import errno
import os
import sys
PY3 = sys.version > '3'
if PY3:
pass
else:
import codecs
input = raw_input
def make_sure_path_exists(path):
"""
Ensures that a ... | 24.569767 | 79 | 0.587317 |
4492b8f104d0fabe71c89becba245f5e4644669e | 228 | py | Python | src/Brain/Functions/Analyzer.py | SidisLiveYT/Discord-AI | b321856266740304b70ab63bbfcdb5285854aa7d | [
"MIT"
] | null | null | null | src/Brain/Functions/Analyzer.py | SidisLiveYT/Discord-AI | b321856266740304b70ab63bbfcdb5285854aa7d | [
"MIT"
] | null | null | null | src/Brain/Functions/Analyzer.py | SidisLiveYT/Discord-AI | b321856266740304b70ab63bbfcdb5285854aa7d | [
"MIT"
] | null | null | null | from Resources.StorageGround import Greetings
print(Greetings);
| 25.333333 | 48 | 0.75 |
4494d26537d59e35ecf0654ea3fabf3cb5c426aa | 2,742 | py | Python | prep_scripts/labels.py | Open-Speech-EkStep/common_scripts | 916f01444e028f9111d5499217abf4443bd24017 | [
"MIT"
] | 4 | 2021-07-22T15:32:13.000Z | 2022-01-25T08:13:45.000Z | prep_scripts/labels.py | Open-Speech-EkStep/common_scripts | 916f01444e028f9111d5499217abf4443bd24017 | [
"MIT"
] | 2 | 2021-03-31T10:58:54.000Z | 2021-05-07T09:50:52.000Z | prep_scripts/labels.py | Open-Speech-EkStep/common_scripts | 916f01444e028f9111d5499217abf4443bd24017 | [
"MIT"
] | 3 | 2021-04-12T05:04:55.000Z | 2021-08-25T06:55:42.000Z |
# Usage: python labels.py --jobs 64 --tsv <path to train.tsv>train.tsv --output-dir <destination dir> --output-name test --txt-dir
import argparse
import os
import re
from tqdm import tqdm
from joblib import Parallel, delayed
# def get_cleaned_text(original_text):
# pattern = '[^ ---------0-9-]+'
# # pattern... | 31.883721 | 130 | 0.619985 |
4495bc5ea5d78a2ae432884f81122c1c3f6cbbb8 | 8,235 | py | Python | df.py | denizumutdereli/dialogflow_nlp_ai_powered_chat_bot | e624927527a32f21763d23cd585c868fe9190211 | [
"Apache-2.0"
] | 1 | 2022-01-13T00:35:20.000Z | 2022-01-13T00:35:20.000Z | df.py | denizumutdereli/dialogflow_nlp_ai_powered_chat_bot | e624927527a32f21763d23cd585c868fe9190211 | [
"Apache-2.0"
] | null | null | null | df.py | denizumutdereli/dialogflow_nlp_ai_powered_chat_bot | e624927527a32f21763d23cd585c868fe9190211 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import settings
#import google.cloud.dialogflow_v2 as dialogflow_v2
from google.cloud import dialogflow as dialogflow_v2
from google.protobuf import field_mask_pb2
from rich import print
import dffunc as dff #special!
#text = 'what is your name?'
#detect_intent_texts('testbot-mldq', 'abc123', tex... | 37.262443 | 158 | 0.769156 |
4497c0bd8ba875e530e105c67eb98c37b9208182 | 2,151 | py | Python | tests/test_configManager.py | Helene/ibm-spectrum-scale-bridge-for-grafana | 9ec7953071d9fbe90332cb670a3f6c00ebf3291b | [
"Apache-2.0"
] | 28 | 2019-11-21T21:11:55.000Z | 2022-03-14T16:53:12.000Z | tests/test_configManager.py | Helene/ibm-spectrum-scale-bridge-for-grafana | 9ec7953071d9fbe90332cb670a3f6c00ebf3291b | [
"Apache-2.0"
] | 23 | 2019-12-17T08:44:09.000Z | 2022-01-07T11:02:01.000Z | tests/test_configManager.py | Helene/ibm-spectrum-scale-bridge-for-grafana | 9ec7953071d9fbe90332cb670a3f6c00ebf3291b | [
"Apache-2.0"
] | 7 | 2019-12-04T09:41:17.000Z | 2021-12-10T15:01:08.000Z | from source.confParser import ConfigManager
from source.__version__ import __version__ as version
| 22.882979 | 80 | 0.656439 |
4498797169e379e4f71ed514fe503e98825e7c72 | 4,897 | py | Python | languageModel.py | Zgjszjggjt/DeepLearning | 51889e57f8c7a0a861c356a0e3454c3c3625b0a7 | [
"MIT"
] | null | null | null | languageModel.py | Zgjszjggjt/DeepLearning | 51889e57f8c7a0a861c356a0e3454c3c3625b0a7 | [
"MIT"
] | null | null | null | languageModel.py | Zgjszjggjt/DeepLearning | 51889e57f8c7a0a861c356a0e3454c3c3625b0a7 | [
"MIT"
] | null | null | null | #!/usr/bin/evn python
#-*- coding: utf-8 -*-
# ===================================
# Filename : languageModel.py
# Author : GT
# Create date : 17-09-20 18:33:43
# Description:
# ===================================
# Script starts from here
# this is for chinese characters
# import sys
# reload(sys)
# sys.setdefault... | 37.381679 | 129 | 0.604656 |
44994ba8d3a7a8b4c205743af6ca6a46fdb3191a | 5,660 | py | Python | wordle.py | andytholmes/wordle_solver | 44062a60b45eea17ad5eda3a9cc37540b3c18866 | [
"MIT"
] | null | null | null | wordle.py | andytholmes/wordle_solver | 44062a60b45eea17ad5eda3a9cc37540b3c18866 | [
"MIT"
] | null | null | null | wordle.py | andytholmes/wordle_solver | 44062a60b45eea17ad5eda3a9cc37540b3c18866 | [
"MIT"
] | null | null | null | from typing import List
import numpy as np
import wordfreq
def get_wordle_from_secret(guess, secret):
if len(secret) != 5:
raise Exception('Secret word needs to be 5 letters')
if len(guess) != 5:
raise Exception('guess word needs to be 5 letters')
wordle = ''
g_check = ''
s_che... | 28.159204 | 78 | 0.563781 |
92209edfa3b4b39c5cb3b3ecc44a58d42206bc22 | 3,264 | py | Python | webapp/app/routes.py | vladan-stojnic/NI4OS-RSSC | 02542fc6ed59acd52cd06a3c1ab191a7da2713d8 | [
"MIT"
] | null | null | null | webapp/app/routes.py | vladan-stojnic/NI4OS-RSSC | 02542fc6ed59acd52cd06a3c1ab191a7da2713d8 | [
"MIT"
] | null | null | null | webapp/app/routes.py | vladan-stojnic/NI4OS-RSSC | 02542fc6ed59acd52cd06a3c1ab191a7da2713d8 | [
"MIT"
] | null | null | null | from flask import render_template, redirect, url_for, escape, request
from app import app
from app.forms import URLForm, FilesForm
from app.utils import perform_url_request, perform_upload_request
import requests
import base64
import json
| 34 | 103 | 0.6394 |
9223388ce50bc2c66a5df942c1f011a31ba0d6df | 3,145 | py | Python | globus_automate_client/graphviz_rendering.py | globus/globus-automate-client | ec5f21a0b1de1c2d90c3e4b4a117177e52ff74e7 | [
"Apache-2.0"
] | 2 | 2020-08-26T19:43:39.000Z | 2020-09-03T20:50:07.000Z | globus_automate_client/graphviz_rendering.py | globus/globus-automate-client | ec5f21a0b1de1c2d90c3e4b4a117177e52ff74e7 | [
"Apache-2.0"
] | 49 | 2020-08-24T15:15:05.000Z | 2022-03-07T18:39:44.000Z | globus_automate_client/graphviz_rendering.py | globus/globus-automate-client | ec5f21a0b1de1c2d90c3e4b4a117177e52ff74e7 | [
"Apache-2.0"
] | 3 | 2020-08-23T21:53:00.000Z | 2021-09-30T23:34:01.000Z | import json
from typing import Any, Dict, List, Mapping, Optional
from graphviz import Digraph
_SHAPE_TYPES = {
"Choice": {"shape": "diamond"},
"Action": {"shape": "box"},
"Succeed": {"shape": "box", "style": "rounded"},
}
_COLOR_PRECEDENCE = ["", "yellow", "orange", "green", "red"]
| 37.891566 | 86 | 0.573927 |
922347cbcb84554379a27400c108d56de27b542e | 9,731 | py | Python | ahio/drivers/generic_tcp_io.py | acristoffers/Loki | 9d209017593fabe4bc6b39b4156101bd32a824cb | [
"MIT"
] | 1 | 2018-05-06T18:43:40.000Z | 2018-05-06T18:43:40.000Z | ahio/drivers/generic_tcp_io.py | acristoffers/Loki | 9d209017593fabe4bc6b39b4156101bd32a824cb | [
"MIT"
] | null | null | null | ahio/drivers/generic_tcp_io.py | acristoffers/Loki | 9d209017593fabe4bc6b39b4156101bd32a824cb | [
"MIT"
] | null | null | null | # -*- coding: utf-8; -*-
#
# Copyright (c) 2016 lan Crstoffer
#
# 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, mo... | 37.863813 | 79 | 0.589867 |
92254e7c44b4d02b62556b08a59fb86995acbb5b | 2,463 | py | Python | openstack/tests/unit/network/v2/test_firewall_v1_rule.py | morganseznec/openstacksdk | 7b245c16556a04497ce701d959a889eca6f26a83 | [
"Apache-2.0"
] | null | null | null | openstack/tests/unit/network/v2/test_firewall_v1_rule.py | morganseznec/openstacksdk | 7b245c16556a04497ce701d959a889eca6f26a83 | [
"Apache-2.0"
] | null | null | null | openstack/tests/unit/network/v2/test_firewall_v1_rule.py | morganseznec/openstacksdk | 7b245c16556a04497ce701d959a889eca6f26a83 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 Morgan Seznec <morgan.s134@gmail.com>
# 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
#
# Unles... | 37.892308 | 75 | 0.686561 |
9225b3c1ee55f4d6994467863ce60bcc9130be6c | 54,574 | py | Python | src/genie/libs/parser/junos/tests/ShowChassisEnvironment/cli/equal/golden_output_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/junos/tests/ShowChassisEnvironment/cli/equal/golden_output_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/junos/tests/ShowChassisEnvironment/cli/equal/golden_output_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
'environment-information': {
'environment-item': [{
'class': 'Temp',
'name': 'PSM 0',
'status': 'OK',
'temperature': {
'#text': '25 '
'degrees '
'C '
'/ '
'77 '... | 25.693974 | 41 | 0.234727 |
9225d697e78183c1ad43794ee9e4cd4755df5089 | 2,260 | py | Python | orbit.py | srujan71/CubeSat-Mission-Planner | 34030254109def0b13e82116ed5122ecf79a82f7 | [
"MIT"
] | 1 | 2021-07-26T16:17:30.000Z | 2021-07-26T16:17:30.000Z | orbit.py | leizhang2020/CubeSat-Mission-Planner | 62d1ad33c2dcb1a2f8fb3ff615cc5cc0e6716969 | [
"MIT"
] | null | null | null | orbit.py | leizhang2020/CubeSat-Mission-Planner | 62d1ad33c2dcb1a2f8fb3ff615cc5cc0e6716969 | [
"MIT"
] | 2 | 2021-09-18T08:50:44.000Z | 2022-01-20T02:41:38.000Z | """
orbit.py
"Frankly, a very limited and highly specific implementation of an Orbit class.
If used for applications other than the original usecase, this class will
either need to be bypassed or heavily expanded upon."
@author: Johan Monster (https://github.com/Hans-Bananendans/)
"""
from numpy import log | 25.111111 | 78 | 0.509735 |
922840c6ba1e5ffbff03318305b8047e1c57c724 | 804 | py | Python | brownie/cli/console.py | banteg/brownie | eccd0c6ac8cf769ed3331c05189e8518e7cc2fdd | [
"MIT"
] | 3 | 2021-05-21T06:55:28.000Z | 2021-06-22T07:31:50.000Z | brownie/cli/console.py | banteg/brownie | eccd0c6ac8cf769ed3331c05189e8518e7cc2fdd | [
"MIT"
] | null | null | null | brownie/cli/console.py | banteg/brownie | eccd0c6ac8cf769ed3331c05189e8518e7cc2fdd | [
"MIT"
] | 1 | 2021-08-02T05:50:59.000Z | 2021-08-02T05:50:59.000Z | #!/usr/bin/python3
from docopt import docopt
from brownie import network, project
from brownie.cli.utils.console import Console
from brownie._config import ARGV, CONFIG, update_argv_from_docopt
__doc__ = f"""Usage: brownie console [options]
Options:
--network <name> Use a specific network (default {CONFIG... | 25.935484 | 95 | 0.689055 |
92287892b36da60c9bf64d7187622768f0e41f59 | 2,638 | py | Python | tensorflow_examples/lite/model_maker/core/compat.py | PawelFaron/examples | 1a24291bb3ed617df21c6c15cdd3418ed2bf8ad3 | [
"Apache-2.0"
] | 1 | 2021-09-22T12:03:20.000Z | 2021-09-22T12:03:20.000Z | tensorflow_examples/lite/model_maker/core/compat.py | godofecht/examples | 5875c06c3cc76af5419986ab9d2f3d51bea43425 | [
"Apache-2.0"
] | null | null | null | tensorflow_examples/lite/model_maker/core/compat.py | godofecht/examples | 5875c06c3cc76af5419986ab9d2f3d51bea43425 | [
"Apache-2.0"
] | 1 | 2020-03-13T16:40:57.000Z | 2020-03-13T16:40:57.000Z | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 27.479167 | 80 | 0.703942 |
92294ca518ccc92f5f31e84ca764f1ef9e6822eb | 8,559 | py | Python | mainpages/views.py | HAXF13D/carwashagrigation | 638d33b0b9cfd81f47ec7cb38aff52f2608a037b | [
"MIT"
] | null | null | null | mainpages/views.py | HAXF13D/carwashagrigation | 638d33b0b9cfd81f47ec7cb38aff52f2608a037b | [
"MIT"
] | null | null | null | mainpages/views.py | HAXF13D/carwashagrigation | 638d33b0b9cfd81f47ec7cb38aff52f2608a037b | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.shortcuts import redirect
from django.http import HttpResponseRedirect
from .forms import RegisterForm, LoginForm
from django.urls import reverse
from .datebase_func import make_bd, check_car_wash, add_car_wash, time_by_id, update_time_by_id, get_info_about
from django.co... | 30.677419 | 111 | 0.538497 |
92294f38fd2ab1e308c335c66c51214ec37751f0 | 4,939 | py | Python | flytekit/common/types/helpers.py | slai/flytekit | 9d73d096b748d263a638e6865d15db4880845305 | [
"Apache-2.0"
] | null | null | null | flytekit/common/types/helpers.py | slai/flytekit | 9d73d096b748d263a638e6865d15db4880845305 | [
"Apache-2.0"
] | 2 | 2021-06-26T04:32:43.000Z | 2021-07-14T04:47:52.000Z | flytekit/common/types/helpers.py | slai/flytekit | 9d73d096b748d263a638e6865d15db4880845305 | [
"Apache-2.0"
] | null | null | null | import importlib as _importlib
import six as _six
from flytekit.common.exceptions import scopes as _exception_scopes
from flytekit.common.exceptions import user as _user_exceptions
from flytekit.configuration import sdk as _sdk_config
from flytekit.models import literals as _literal_models
def python_std_to_sdk_ty... | 39.512 | 119 | 0.700142 |
922a233c287deeb8aa6a5632fd96086e2451f966 | 2,356 | py | Python | commands/interractions/discord_binder.py | graatje/highscoresbot | 26207b8191ed6c9a3d7ecd49fea482e6d3603c36 | [
"MIT"
] | null | null | null | commands/interractions/discord_binder.py | graatje/highscoresbot | 26207b8191ed6c9a3d7ecd49fea482e6d3603c36 | [
"MIT"
] | null | null | null | commands/interractions/discord_binder.py | graatje/highscoresbot | 26207b8191ed6c9a3d7ecd49fea482e6d3603c36 | [
"MIT"
] | null | null | null | import sqlite3
import discord
from commands.sendable import Sendable
| 46.196078 | 106 | 0.628608 |
922a9ae4034f744c3a78c0a716a89357127aba7a | 4,038 | py | Python | gigfinder/gigs/tests.py | jayanwana/django-location-project | b2e728d13189e70ca25578eccd3018f15bdd7e83 | [
"MIT"
] | null | null | null | gigfinder/gigs/tests.py | jayanwana/django-location-project | b2e728d13189e70ca25578eccd3018f15bdd7e83 | [
"MIT"
] | 3 | 2020-06-05T21:00:42.000Z | 2021-09-22T18:33:34.000Z | gigfinder/gigs/tests.py | jayanwana/django-location-project | b2e728d13189e70ca25578eccd3018f15bdd7e83 | [
"MIT"
] | null | null | null | from django.test import TestCase
# Create your tests here.
from gigs.models import Venue, Event
from gigs.views import LookupView
from factory.fuzzy import BaseFuzzyAttribute
from django.contrib.gis.geos import Point
from django.utils import timezone
from django.test import RequestFactory
from django.urls import revers... | 31.546875 | 89 | 0.628777 |