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class | content stringlengths 10 2.95M | src_encoding stringclasses 5
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classes | length_bytes int64 10 2.95M | extension stringclasses 19
values | num_repo_files int64 1 202k | filename stringlengths 4 112 | num_lang_files int64 1 202k | alphanum_fraction float64 0.26 0.89 | alpha_fraction float64 0.2 0.89 | hex_fraction float64 0 0.09 | num_lines int32 1 93.6k | avg_line_length float64 4.57 103 | max_line_length int64 7 931 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
turalabs/deb | 3,762,391,354,397 | dc1bc965bad137c815c2003d58978e09c5863dde | d86d4c9edd522da76671bc5f799103839b762765 | /deb/utils/data_models/flights.py | d4c69f575a997cae59569ed9be2ad71d04de6fee | [
"Apache-2.0"
] | permissive | https://github.com/turalabs/deb | 51d3491f38e76957bee06b87ed1fb7bc2f885bd8 | 75f1e0d4dc49e60bbecd10a5c7e98eebbe4e5612 | refs/heads/master | 2023-04-07T09:08:57.607654 | 2021-04-15T03:55:54 | 2021-04-15T03:55:54 | 280,475,854 | 3 | 7 | Apache-2.0 | false | 2021-04-15T03:55:55 | 2020-07-17T16:39:37 | 2021-01-21T23:23:38 | 2021-04-15T03:55:54 | 31,025 | 1 | 5 | 6 | Python | false | false | """
Helper functions and datamodels for Chapter 2 flight records.
"""
from google.cloud import bigquery
import pyarrow
# historical flights schemas
FLIGHTS_CSV_COLUMNS = ["day_of_week", "flight_date", "airline", "tailnumber", "flight_number",
"src", "src_city", "src_state", "dest", "dest_city", "dest_... | UTF-8 | Python | false | false | 8,285 | py | 108 | flights.py | 79 | 0.638383 | 0.621485 | 0 | 92 | 89.043478 | 263 |
howardderekl/LakeCreekRanchPython | 2,585,570,323,468 | 0d2724e35b43e2b264fffdf5eb2ad414e696690c | da1cdd8ec6c407aa113363df648db92bd63bc5ee | /django-env/Scripts/django-admin.py | 620c8c54055d2be2d729c8b6086174eb480c0221 | [] | no_license | https://github.com/howardderekl/LakeCreekRanchPython | 9c9cbaa24885c01bc18cc288f84511cc25eaffee | 525ff1b92cecae89540417161bf83035394b5ac5 | refs/heads/master | 2021-09-05T11:03:59.064799 | 2018-01-26T18:48:40 | 2018-01-26T18:48:40 | 118,970,919 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!c:\users\dhoward\source\repos\lakecreekranchpython\django-env\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| UTF-8 | Python | false | false | 190 | py | 12 | django-admin.py | 10 | 0.742105 | 0.742105 | 0 | 5 | 36.8 | 82 |
tbmihailov/OBQA | 14,482,629,760,776 | b591b44a489969442cabb1318e405a1bfbfdc3c6 | 1036bc1b6247db0a57d1dbd854e5b19b982ed871 | /seq2seq/Seq2Seq_Restricted/Seq2SeqControl.py | d474d8086a0677dc7ab494a4beb1693b7cf625b5 | [
"Apache-2.0"
] | permissive | https://github.com/tbmihailov/OBQA | e6079b1e29339364ec8a8e95cf0ebe7c2c9c847f | 653c5c64ae7eb164bde0b381813afe5f664dcf67 | refs/heads/master | 2020-07-01T06:31:19.032385 | 2019-08-12T17:41:56 | 2019-08-12T17:41:56 | 201,075,108 | 1 | 0 | Apache-2.0 | true | 2019-08-07T15:14:23 | 2019-08-07T15:14:23 | 2019-08-01T21:33:41 | 2019-08-01T21:33:39 | 9,478 | 0 | 0 | 0 | null | false | false | import os
import csv
import torch
import torch.optim as optim
import itertools
import sys
sys.path.append('../')
import dataPreperation.Fact2_Only_F1_H_exact_tokens as data
#from dataPreperation.Fact2_Only_F1_H_exact_tokens import dataPreparation
from allennlp.data.dataset_readers.seq2seq import Seq2SeqDatasetReader
#... | UTF-8 | Python | false | false | 6,732 | py | 54 | Seq2SeqControl.py | 30 | 0.673648 | 0.657605 | 0 | 171 | 38.368421 | 137 |
giyoon21c/dailyPy | 19,327,352,865,844 | 586146b68761224a91ddf3d19388bd0ec1f63d8a | 2f2b1c594d8e10dfd4f8f6c071167274996b3167 | /multiprocessing/job.py | 6e5b0c351b0dc6095a8dea36834911ff1cda303b | [] | no_license | https://github.com/giyoon21c/dailyPy | 18fd3fceb3c5c8097458802a6e0f8f51890aa5bf | d646e8afb01d844c200f7c96c52d5ee7fac2e538 | refs/heads/master | 2018-12-21T12:08:23.703102 | 2018-12-14T23:54:10 | 2018-12-14T23:54:10 | 131,449,675 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import multiprocessing
def worker(i):
# at least i remembered it!!!
print 'working...{0}'.format(i)
return
if __name__ == "__main__":
jobs = []
for i in xrange(10):
p = multiprocessing.Process(target=worker, args=(i,))
jobs.append(p)
p.start()
| UTF-8 | Python | false | false | 270 | py | 45 | job.py | 44 | 0.6 | 0.588889 | 0 | 14 | 18.214286 | 57 |
vkjangid/python | 5,652,176,969,946 | f3ac91d284427eb1ae97d5239a1e4cc2cc09bd5a | 2476d2ee4e336ae3713a6fa0f498e6fa89e06738 | /duplicate characters present in any string are converted into $.py | dff986a67c4eb7224f54d8a2d9d54d5475fc8c47 | [] | no_license | https://github.com/vkjangid/python | ccd250c42b0ce0c1b5fb68ef6bc98ff228a403a1 | 2e4374bf00a41037036eefe1d2b64136f0dc5106 | refs/heads/master | 2020-03-18T22:35:07.748696 | 2019-11-11T10:57:29 | 2019-11-11T10:57:29 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | a="xyzaaxyf"
a=list(a)
print(a)
b=1
for i in range(len(a)):
for j in range(b,len(a)):
if a[i]==a[j]:
a[j]='$'
b+=1
print("".join(a))
| UTF-8 | Python | false | false | 177 | py | 72 | duplicate characters present in any string are converted into $.py | 72 | 0.418079 | 0.40678 | 0 | 10 | 15.1 | 29 |
coolbung/eNREGA | 2,061,584,351,449 | 65b88aa37aa9cf0fba74986db18500fb9371fbbe | 649ea375c28d5819e2bdc731d3c0135f00856009 | /code/scraper/nrega/district_scrapper.py | 2f157b50a0518ce60f69bb39a0ef9907a91d7092 | [] | no_license | https://github.com/coolbung/eNREGA | 45f86d2cc1e0c696de88978735cc4fa595ca3f2c | 71d6c381a332c3750d13675b732bc6c74dee3f28 | refs/heads/master | 2021-01-01T16:05:46.489897 | 2011-10-10T07:02:39 | 2011-10-10T07:02:39 | 2,008,393 | 0 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | # importing the BeautifulSoup libraries
from BeautifulSoup import BeautifulSoup
# import regular expressions library and url library
import re
import urllib2
#RB:01 begin
#import MySQLDb for database operations
import MySQLdb
#RB:01 end
#global values
ipAddress="164.100.112.66"
#database connection stri... | UTF-8 | Python | false | false | 4,849 | py | 28 | district_scrapper.py | 25 | 0.673981 | 0.654523 | 0 | 131 | 34.78626 | 133 |
jgibbons-cp/sva_scan_examples | 12,378,095,789,989 | 84be4ac2cdd0b0cfb7757adecfa4c19a2dee44fa | 0b2cf46f31b277d004ba354c2fdb053eca59a0ff | /app/runner.py | 8f8f6bb2e89c20564299acef2bb6c0eeba023e83 | [
"BSD-2-Clause"
] | permissive | https://github.com/jgibbons-cp/sva_scan_examples | 37d8ba5889de15d32e44f9a33819c7d8025f0453 | 1d012e08bd9fa3a1082b676318faf80346258aea | refs/heads/master | 2021-01-20T02:31:14.760963 | 2017-12-12T01:24:51 | 2017-12-12T01:24:51 | 89,421,469 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sva_scan_examples
from halo_general import HaloGeneral
# Build config
config = sva_scan_examples.ConfigHelper()
# get a halo object for api methods wrapper
halo = HaloGeneral(config)
sva_scan_examples.SVA_ScanExamples(halo)
| UTF-8 | Python | false | false | 234 | py | 15 | runner.py | 8 | 0.794872 | 0.794872 | 0 | 10 | 22.4 | 43 |
xue-jiaxin/paroxython | 3,667,902,084,460 | 326748ceda6314dc1d127bdcf0a2088f0cc3da54 | d7cf547aa93a199e9a58396e1efcb7725c8eac42 | /helpers/print_taxon_patterns.py | 4d3c671a53f63c9f0e9ff2be4ac1e2ae02511bd4 | [
"MIT"
] | permissive | https://github.com/xue-jiaxin/paroxython | ca4156736c2aa0798acbbc92efcc2d926a99c801 | 777ad985631dd6003c374e14b008ac93dee33567 | refs/heads/master | 2022-07-12T00:38:45.870848 | 2020-05-18T18:40:46 | 2020-05-18T18:40:46 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Type hierarchy (https://python.readthedocs.io/en/stable/reference/datamodel.html)
#
from functools import reduce
type_hierarchy = """
number/integral/int
number/integral/bool
number/float
number/complex
sequence/immutable/string/str
sequence/immutable/string/bytes
sequence/immutable/tuple
sequence/mutable/list
sequ... | UTF-8 | Python | false | false | 1,555 | py | 61 | print_taxon_patterns.py | 39 | 0.727974 | 0.721543 | 0 | 43 | 35.162791 | 98 |
sunbo5439/MyProject | 4,578,435,145,933 | 3cfb32585104e9db838d283854d88bb77e3894ee | c75348a6fd2c5159015dd6f59081806286a0fe9e | /Speech_Recgnition/data_preprocess.py | 0e7f5c59e1e04ea4b82116d867949a65c5fcb307 | [] | no_license | https://github.com/sunbo5439/MyProject | cb27c083b506751c5148c63b46a63aa85fa312b8 | 9c9adb80a66d95108effd41d9898eed2626e0f36 | refs/heads/master | 2021-04-03T01:15:33.202553 | 2018-04-19T14:14:39 | 2018-04-19T14:14:39 | 124,353,863 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding: utf-8
import tensorflow as tf
import numpy as np
import os
from collections import Counter
import librosa
import codecs
import pickle
import json
import sys
import Levenshtein
reload(sys)
sys.setdefaultencoding('utf8')
import neural_model
def generation_vocab(label_vector_path, vocab_path):
labels = j... | UTF-8 | Python | false | false | 3,884 | py | 21 | data_preprocess.py | 16 | 0.623841 | 0.6138 | 0 | 100 | 37.84 | 116 |
zsahi/Web-App-Vulnerability-Scanner | 11,828,339,940,222 | ffcb875747014d6b747adebf7c12f93feef4f929 | 7b1937fea015fd6b0040d0cb07330ee53dea7e05 | /Scanner.py | 7d81b7a790d36ba0b67c243a4838bc5814a1c472 | [] | no_license | https://github.com/zsahi/Web-App-Vulnerability-Scanner | 73418245f4a666be3a90d7ff7ee0232bac1e0eb5 | a1ef55217aa4c3cf66ce2ad5fccc1e66e8c22b5e | refs/heads/master | 2020-04-16T18:29:42.080192 | 2019-02-14T15:21:03 | 2019-02-14T15:21:03 | 165,822,459 | 3 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import urllib3
import signal
import sys
from Crawler import Crawler
from core.CommonFunctions import *
from SQLi import *
import multiprocessing
import multiprocessing.pool
import AuthBypass
import WeakPasswords
def runScan(target):
crawler = Crawler()
findings = {}
print("Scanning: "... | UTF-8 | Python | false | false | 2,759 | py | 16 | Scanner.py | 9 | 0.595868 | 0.591156 | 0 | 108 | 23.509259 | 93 |
baby-age/testing-bagels | 11,484,742,597,290 | 5d7e492a963353ba5fe025a0b6e9fccd27dc87a0 | 9e8f7c31272eabaafabbfb6e45c6320ebb68b360 | /testing_bagels/feature_calculator.py | 98ff0d4352d7184f2dbc4e7b1d8b651ca8a3698b | [] | no_license | https://github.com/baby-age/testing-bagels | c0c2fd652be91c430726513fa4ce2644484a47bf | c781478dcc968c5777bc7421b4ad7189a57109e4 | refs/heads/master | 2021-05-13T17:02:14.360828 | 2018-04-20T15:24:36 | 2018-04-20T15:24:36 | 116,808,796 | 0 | 1 | null | false | 2018-01-13T17:44:52 | 2018-01-09T11:41:38 | 2018-01-09T11:52:36 | 2018-01-13T17:44:52 | 16 | 0 | 1 | 0 | Python | false | null | import bct
import testing_bagels.matrix_preprocessor as mp
'''
Calculate modularity and efficiency coefficients with Brain Connectivity Toolbox.
Input should be data frame, output is list.
Zip if used together for prediction, like this: X = [list(x) for x in zip(mod, eff)]
'''
def modularity_and_efficiency(data):
mod... | UTF-8 | Python | false | false | 977 | py | 24 | feature_calculator.py | 21 | 0.714432 | 0.713408 | 0 | 34 | 27.735294 | 84 |
bmoore-10/NewGrounds-Art-Scraper-Discord-bot | 14,199,161,908,524 | 53d3e74b4808ae2f80bcabe8976d4863d2df25f0 | 98b669821fe6c83929e73055844848fe081f79ef | /NG_Scraper/NG_Scraper.py | ab986984da88e16d54641d7ae4352a3b541183b4 | [] | no_license | https://github.com/bmoore-10/NewGrounds-Art-Scraper-Discord-bot | d3e9346670fff67cc24dc78f5770a00e065e0dd5 | f7c9674fb5f3def41143718f3a4a38c1c56e178a | refs/heads/master | 2020-04-26T20:48:16.717591 | 2019-03-06T07:15:35 | 2019-03-06T07:15:35 | 173,822,108 | 3 | 1 | null | false | 2019-03-06T07:15:36 | 2019-03-04T21:11:46 | 2019-03-04T23:04:34 | 2019-03-06T07:15:35 | 10 | 0 | 0 | 0 | Python | false | null | import json
from bs4 import BeautifulSoup
import datetime
import time
import requests
import logging
import re
from slimit import ast
from slimit.parser import Parser
from slimit.visitors import nodevisitor
logging.basicConfig(filename='ng_scraper.log', filemode='w', level=logging.INFO)
# Load in our con... | UTF-8 | Python | false | false | 9,824 | py | 6 | NG_Scraper.py | 2 | 0.6023 | 0.598127 | 0 | 245 | 38.097959 | 138 |
HeinzHinek/AxiStore | 10,118,942,969,563 | 0e8d5a9335d52c5748ea0065cbf4772c830db8b8 | 3e6d84f4b0e4460326565353de801cfe8c2c493f | /db_repository/versions/067_migration.py | 40f304b4bc7eb24476941317d55247a047a9bb35 | [] | no_license | https://github.com/HeinzHinek/AxiStore | 081d18f8f2beabc70ab887b2496a9d4029942082 | 9acdfe684761929ee660a7b079be96f8a449d27c | refs/heads/master | 2021-01-23T13:22:38.911745 | 2017-06-10T08:27:49 | 2017-06-10T08:27:49 | 24,177,684 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from sqlalchemy import *
from migrate import *
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
contact = Table('contact', post_meta,
Column('id', Integer, primary_key=True, nullable=False),
Column('company_name', String(length=100)),
Column('post_code', Integer),
Colu... | UTF-8 | Python | false | false | 1,224 | py | 120 | 067_migration.py | 33 | 0.688725 | 0.669118 | 0 | 36 | 33 | 68 |
sultankhodja/Stock | 19,284,403,190,644 | 3f8af4bbfc79b0f0d8df7d52376f5f4fc9ddf357 | d9a17af8a25a8de7ea7696d90f768aec83df5d3d | /stock_assignment.py | e0e04920b92df62a1dd861f816a992528d227add | [] | no_license | https://github.com/sultankhodja/Stock | 16d0c3353736871065db65d611922fdeb495692f | 6f6a7ff3665f1c7c0fb50821a0f6af5aff156ec5 | refs/heads/master | 2021-05-17T01:50:55.891397 | 2020-03-27T15:06:51 | 2020-03-27T15:06:51 | 250,564,308 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from lichcode import LinkedListTail
# Queue just list popping from head pushing from the end!
class Queue:
def __init__(self):
self.myList = []
# Represent the data through specific memory
def __repr__(self):
return repr(self.myList)
# Pushing to the list
def push(self, data):
se... | UTF-8 | Python | false | false | 3,828 | py | 1 | stock_assignment.py | 1 | 0.586468 | 0.580199 | 0 | 68 | 54.764706 | 153 |
Sauci/pylink | 15,633,680,973,344 | 147dec7270cdbda987c9bd794dd442477e453cd2 | 8871842ce5334fb04d38b188afb060d219f975bd | /tests/unit/test_util.py | c60d6da0f93fcf6e82dbcded89c510fd64f8de05 | [
"Apache-2.0"
] | permissive | https://github.com/Sauci/pylink | c453263659b889cbd33d27865e32a1e800d13e02 | bdd68ea8aceebc01b7dd980c8b9a11ad7e7a7c6b | refs/heads/master | 2021-11-05T03:01:03.224310 | 2021-10-26T06:11:12 | 2021-10-26T06:11:12 | 140,023,392 | 0 | 0 | Apache-2.0 | true | 2018-07-06T19:38:06 | 2018-07-06T19:38:05 | 2018-07-05T18:02:17 | 2018-05-30T23:02:14 | 211 | 0 | 0 | 0 | null | false | null | # Copyright 2017 Square, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | UTF-8 | Python | false | false | 5,830 | py | 78 | test_util.py | 27 | 0.59434 | 0.58199 | 0 | 208 | 27.028846 | 78 |
tetrismegistus/minutia | 2,542,620,658,169 | 25ccd0ad8bd28b4f47715d0c94940b06cbd6bfc8 | a47c11905907cb76d5c32382383d9e2b00f24599 | /exercises/guided_tutorials/advent17/16_1.py | 8dfe111ebf006677a170edf20a04196d937869aa | [] | no_license | https://github.com/tetrismegistus/minutia | 9ea7db3c7e9f164c83a8cc3f082000fd894fb55b | 51d0d41740701ef117598ef3e00c99e208ee5ca8 | refs/heads/master | 2022-12-06T15:16:59.968911 | 2020-07-22T21:42:47 | 2020-07-22T21:42:47 | 160,570,462 | 12 | 1 | null | false | 2022-11-22T05:16:44 | 2018-12-05T19:51:17 | 2020-07-22T21:43:01 | 2022-11-22T05:16:44 | 126,546 | 10 | 0 | 2 | Python | false | false | def load_steps(filename):
with open(filename) as f:
file = f.read().strip('\n').split(',')
steps = []
for instruction in file:
step = [instruction[0]] + instruction[1:].split('/')
steps.append(step)
return steps
def spin(string, number):
index = -(number % ... | UTF-8 | Python | false | false | 1,284 | py | 149 | 16_1.py | 109 | 0.562305 | 0.536604 | 0 | 50 | 23.52 | 63 |
maksymx/ml_dl_ds_cv_snippets | 5,437,428,629,852 | a214bb2baccd71bcd74a07b8cb4c082e44f30a0e | 4975c9c9e65f1b92b49f5c9344577440eab81821 | /other/basic.py | a7e9b4fe33515a5fb9b34a6a8e3b95c108235382 | [
"MIT"
] | permissive | https://github.com/maksymx/ml_dl_ds_cv_snippets | 528e2b5f5c21a0371d0317037e6fa23525bde9c7 | ebb4ec5e97f52e55e97f3c8c71cf375da7a30dc5 | refs/heads/master | 2021-09-17T11:40:29.517605 | 2018-07-01T22:26:16 | 2018-07-01T22:26:16 | 114,045,526 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import scipy as sp
x = sp.random.random()
print("Random number: ", x)
x_square_root = sp.sqrt(x)
print("Square root: ", x_square_root)
matrix = sp.random.random(3)
print('Random matrix: ', matrix)
matrix = sp.append(matrix, sp.random.random(2))
print('New matrix: ', matrix)
| UTF-8 | Python | false | false | 279 | py | 9 | basic.py | 8 | 0.684588 | 0.677419 | 0 | 13 | 20.461538 | 47 |
jennndol/ayongampus | 11,484,742,596,501 | e720475ec5a74dd2533d563b086f218f4f4793c8 | dbab648b60358fce5c92f758019500a5bce3f842 | /ayongampus/quiz/essay/views.py | 612052fb142edf3d6652b4a00807643f9451ec32 | [] | no_license | https://github.com/jennndol/ayongampus | 6741ce1a50e5c2f183bccf96f6e5d549645a261d | 76b5841547f3f40e10393e0e0fb7de73ca46b8df | refs/heads/master | 2021-01-21T21:06:35.341896 | 2017-07-27T12:10:43 | 2017-07-27T12:10:43 | 64,501,515 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from ayongampus.quiz.essay.models import Essay_Question
from ayongampus.subject.models import Chapter
from ayongampus.subject.views import get_user
from django.core.urlresolvers import reverse_lazy
from django.db import transaction
from django.views.generic import CreateView
from django.views.generic import UpdateView
... | UTF-8 | Python | false | false | 1,834 | py | 62 | views.py | 26 | 0.695202 | 0.695202 | 0 | 49 | 36.428571 | 72 |
MaxWroe/EnviromentWasteDetection | 6,880,537,636,999 | 0f8fa8fdf8fd1c238df49df2b6f7e226978a9dcf | 51232ac21a5915c9981ddd0c44596da9f55a6af7 | /annotations.py | 626effed6dc168c3c99500b405bfba9d67c58d2e | [] | no_license | https://github.com/MaxWroe/EnviromentWasteDetection | 44701ce7b97a3eb411c910ff1338d262fd59441f | 91cf9526b0a9bfbbdfd1e97f1e8ff48053aa1eec | refs/heads/master | 2023-05-07T09:37:47.108060 | 2021-06-04T05:55:59 | 2021-06-04T05:55:59 | 372,350,851 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
Provides new annotations for TACO dataset images, alters classifications from the 60 original classes to be inline
with COMP3330 requirements (Plastic Cups, Plastic Bags, Other Plastic Waste, No Plastic Waste)
This script has been modified from :
https://github.com/wimlds-trojmiasto/detect-waste/blob/7852bce50405b... | UTF-8 | Python | false | false | 9,937 | py | 7 | annotations.py | 4 | 0.625943 | 0.608332 | 0 | 248 | 39.068548 | 132 |
KKshitiz/J.A.R.V.I.S | 5,746,666,268,073 | 874d82b76316efd2dd4a313aecbb9fee9f67c5db | 76a56f6974a682ddbcd69b84f0827c4084fbaa41 | /software_AI/natural-language-processing/speech2text.py | 46c091e93fe19086dbd7318ce096d02d3b48531b | [
"MIT"
] | permissive | https://github.com/KKshitiz/J.A.R.V.I.S | 91610800f1ab5aea3e3c25f02b0c49fb66ed8de3 | 620cffec86991c948839a5f9ceaceb59e0a69e78 | refs/heads/master | 2022-11-30T02:57:04.528347 | 2020-08-12T14:39:02 | 2020-08-12T14:39:02 | 251,086,624 | 18 | 18 | null | null | null | null | null | null | null | null | null | null | null | null | null | import speech_recognition as sr
from playsounds import *
#this module converts speech2text
def startStt(lang='en-in'):
r=sr.Recognizer()
print("Listening")
# startAudio()
startPlayAudio('jarvislistening.wav')
with sr.Microphone() as source:
print("Say something")
# r.pause_thresho... | UTF-8 | Python | false | false | 964 | py | 34 | speech2text.py | 25 | 0.651452 | 0.644191 | 0 | 33 | 28.242424 | 131 |
MUDDASICK/CodeSamples | 15,779,709,875,200 | cdaea3b266e9bf5ae1b4778e4158d0cb457912a4 | 4fc357805e30cd634c753073f8b9e4750ba6eac7 | /Juniper-Automation/Nornir4-filtering/runbook2.py | 72c98a0009eec9abf8a4d166130043319e39767e | [] | no_license | https://github.com/MUDDASICK/CodeSamples | e970634e5b50e93e39261d9af335652da37f60c4 | 1af073e3ad61cf9efe0e26f7097a8414d4bf4739 | refs/heads/main | 2023-08-17T07:34:33.203566 | 2023-06-17T15:42:45 | 2023-06-17T15:42:45 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
import logging
from nornir import InitNornir
from nornir_netmiko.tasks import netmiko_send_config
from nornir_utils.plugins.functions import print_result
logger = logging.getLogger(__name__)
nr = InitNornir(config_file="config.yaml")
def push_snmp(task, filename):
if not os.path.isfile(filename):
... | UTF-8 | Python | false | false | 569 | py | 531 | runbook2.py | 266 | 0.759227 | 0.759227 | 0 | 20 | 27.45 | 71 |
jmchilton/galaxy-central | 18,262,200,962,257 | ea24503e17bc91b98f5d60c636839c8abd1bfef6 | 1f579b0ee9ed450fd84da56b9f3e8328ef372a81 | /tools/encode/random_intervals_no_bits.py | 875831cc796cd35e708227b99fdcbe8097a86691 | [
"MIT"
] | permissive | https://github.com/jmchilton/galaxy-central | 42bfc91532bd6444fbe4dfc239a78b24437e4518 | 31e2fd3a32b06ddfba06ae5b044efdce1d93f08c | refs/heads/master | 2021-01-01T05:37:10.582680 | 2006-11-15T16:28:21 | 2006-11-15T16:28:21 | 6,923,705 | 4 | 4 | null | false | 2015-02-12T19:30:55 | 2012-11-29T15:40:37 | 2015-02-12T19:30:17 | 2015-02-12T19:30:17 | 321,333 | 10 | 10 | 0 | Python | null | null | #!/usr/bin/env python2.4
#%prog bounding_region_file mask_intervals_file intervals_to_mimic_file out_file mask_chr mask_start mask_end interval_chr interval_start interval_end interval_strand use_mask allow_strand_overlaps
import sys, random
max_iters = 100000
#Try to add a random region
def add_random_region(... | UTF-8 | Python | false | false | 6,767 | py | 379 | random_intervals_no_bits.py | 154 | 0.492242 | 0.483523 | 0 | 180 | 35.594444 | 197 |
ErykMalinowski/JC | 10,368,051,060,812 | 0e23614340b23e9b619f651d6b1317d595e26816 | 77144c478973a82017135454a79cbcdd7644c5e9 | /website/myapp/migrations/0002_auto_20200312_2119.py | 07a0f8d78865ec856ca5cc8f8c6f548d80a001a1 | [] | no_license | https://github.com/ErykMalinowski/JC | b35ee52e0b4e7de2aab3de602c8f801cbdeef14b | bdd7149f0f7bd408e50ab7d2e3623a5b546298c7 | refs/heads/master | 2022-04-28T10:35:56.919632 | 2020-07-20T12:01:17 | 2020-07-20T12:01:17 | 236,815,872 | 0 | 0 | null | false | 2022-04-22T23:10:23 | 2020-01-28T19:02:50 | 2020-07-20T12:01:27 | 2022-04-22T23:10:21 | 44,116 | 0 | 0 | 2 | HTML | false | false | # Generated by Django 2.2.10 on 2020-03-12 21:19
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('myapp', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Player',
f... | UTF-8 | Python | false | false | 4,548 | py | 30 | 0002_auto_20200312_2119.py | 10 | 0.57124 | 0.565963 | 0 | 93 | 47.903226 | 137 |
wogus3602/study | 15,461,882,295,997 | 246821491965de6f58761f967ee7a65427d53bb1 | 2e2eb7e00899bd75ce9a6f6bf81267dde31e0e69 | /윤석주/day9/알파벳거리.py | ff99d0a10ebc9129d8ae4d4c6e03979d1535196a | [] | no_license | https://github.com/wogus3602/study | 3f8e47bbcf7a45aa1ba0781f50140a6f9be89764 | cba81bec9a7044567627d197ae9c8620d4fb8729 | refs/heads/master | 2022-11-18T23:32:50.632074 | 2020-07-10T04:02:42 | 2020-07-10T04:02:42 | 273,912,878 | 0 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | n = int(input())
for case in range(n):
word1, word2 = input().split(' ')
print("Distances:",end="")
for i in range(len(word1)):
diff = ord(word2[i]) - ord(word1[i])
if diff < 0:
diff += 26
print("",diff,end="")
print() | UTF-8 | Python | false | false | 291 | py | 159 | 알파벳거리.py | 159 | 0.453608 | 0.426117 | 0 | 15 | 18.466667 | 44 |
VN-Pikachu/Machine-Learning-from-scratch | 8,564,164,820,574 | 4c3455e80ce43d01d4ee96970a1e6e8fe24bdf03 | db6837c33e32d396fdd60279f319527776eddeb5 | /LDA/LDA.py | 843a12124bf8d8848364d8165953a92361ef10d4 | [] | no_license | https://github.com/VN-Pikachu/Machine-Learning-from-scratch | e887817e31024a5c6e9018bb845632abd1992db4 | a1f6e2993d3d44bec1cd9b1300e598621638f56e | refs/heads/main | 2023-03-20T11:34:26.868615 | 2021-03-03T10:07:18 | 2021-03-03T10:07:18 | 344,062,544 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import matplotlib.pyplot as plt
class LDA:
def __init__(self, n_components = None):
self.n_components_ = n_components
def fit(self, X, y):
#n samples, m features
n, m = X.shape
#Between-Class Variance Matrix
S_B = np.zeros((m,m))
#With... | UTF-8 | Python | false | false | 1,725 | py | 118 | LDA.py | 85 | 0.545507 | 0.544348 | 0 | 44 | 37.204545 | 91 |
pkgpl/gpl | 10,024,453,679,448 | 6db842b9c26f3539f9f29d7326f895ce0955884e | 5f02dc4398423561bb8560ab35325d3dedfc36c7 | /script/abspath.py | e89605fde0292c93a0a82daa8bc7934f589c7521 | [] | no_license | https://github.com/pkgpl/gpl | 0f081c8671cb450c02415b5a39350d085a4cec57 | a7d3861120a6af9269c82e34a3b96c5dfb61e70a | refs/heads/master | 2021-07-14T14:20:16.287372 | 2021-06-24T01:53:01 | 2021-06-24T01:53:01 | 22,287,752 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
#
# Program : print abs path for scp
# Date :
import sys,commands,os.path
if len(sys.argv) < 2:
print 'input file names'
sys.exit(1)
cmd=commands.getstatusoutput
user=cmd('echo $USER')[1]
host=cmd('echo $HOSTNAME')[1]
if host=='master02': host='gplhpc'
if host=='laplace001': host='laplace'
if h... | UTF-8 | Python | false | false | 525 | py | 99 | abspath.py | 42 | 0.674286 | 0.638095 | 0 | 24 | 20.875 | 41 |
soarlab/AAQNN | 13,245,679,155,673 | ca47ea3014a1b0eaad2c02277b6f785e92b98bc7 | 35844c887d6da13d5b72e297183991aa0cea1b52 | /experiments/__init__.py | 8d1eb5964c8358e795e794f286f5d745adcfd230 | [] | no_license | https://github.com/soarlab/AAQNN | 5c5f87cf594ddb6f6c800907fa11d452bc88b4dc | ea6627ad9f0d55196d0dde90d7dbe5472be99d66 | refs/heads/master | 2022-01-21T08:11:44.616642 | 2019-06-24T08:42:45 | 2019-06-24T08:42:45 | 178,188,010 | 0 | 0 | null | false | 2022-01-13T01:08:45 | 2019-03-28T11:17:56 | 2019-06-24T08:43:03 | 2022-01-13T01:08:42 | 178,500 | 0 | 0 | 8 | Python | false | false | '''
In this directory codes several experiments are implemented.
Every experiment has description of it in the beginning of the file.
''' | UTF-8 | Python | false | false | 137 | py | 34 | __init__.py | 31 | 0.788321 | 0.788321 | 0 | 4 | 33.5 | 68 |
Yossarian92/Project_UCSD | 3,384,434,266,718 | 49f46a73bdd34b9fc6ccf13390713631b93b1b6b | e2e939d6226fda52f7768c2b764979e1e194efc7 | /mux.py | 77bd2537635e4d120e1ca2b0319f80a91ed4c59b | [] | no_license | https://github.com/Yossarian92/Project_UCSD | 96f279251650337eeb37f8ad5521b096ef4569b2 | 5188190f5fa1946f8110540aab5dd0ca957a76ec | refs/heads/master | 2022-07-17T08:28:53.429061 | 2019-09-02T00:03:22 | 2019-09-02T00:03:22 | 198,270,462 | 0 | 1 | null | false | 2020-05-13T13:19:19 | 2019-07-22T17:19:59 | 2019-10-23T14:21:20 | 2019-09-02T00:03:22 | 21,193 | 0 | 1 | 1 | Python | false | false | import time
def map_select_bit_to_gpio_pin(bit):
if bit == 0:
return 24
if bit == 1:
return 25
if bit == 2:
return 26
if bit == 3:
return 27
def s_mask(bit):
if bit == 0:
return 1
if bit == 1:
return 2
if bit == 2:
return 4
if bit == 3:
return 8
def s_ch(bit):
if... | UTF-8 | Python | false | false | 3,197 | py | 10 | mux.py | 9 | 0.545824 | 0.453863 | 0 | 141 | 20.687943 | 127 |
philna/Python-Space-Projects | 5,549,097,769,212 | 75d5c84cae9ccd57007f9453aac601ed9aeb4484 | 44efcd773173c1a341974eb9208f740d92ed1635 | /Download asterank data.py | 6e2a0cbcdd65e5b7ce4ff83a816fa55cd02a9798 | [] | no_license | https://github.com/philna/Python-Space-Projects | 7d76efa7daa2da967dfb51d712ed50bfe997bc41 | af95f8586a8691a9c371805d87fc289dad7f9abc | refs/heads/master | 2021-01-23T19:17:28.211782 | 2017-09-08T05:37:19 | 2017-09-08T05:37:19 | 102,817,142 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | """""
This script connects to the Asterank API which provides access to the NASA Small Body Database
along with some modifications to estimate monetary value and other financial/feasiblity metrics
August 11, 2017
"""
import requests
import json
#Request results from Asterank API - query for all results with limit... | UTF-8 | Python | false | false | 1,883 | py | 2 | Download asterank data.py | 1 | 0.603293 | 0.592671 | 0 | 89 | 20.101124 | 123 |
yusuk6185/algorithm_practice | 4,294,967,309,116 | c1d552d78e0cf75547236145d1087de480d01e28 | 5eee9e8edb71dc16e964ab158ce252e798cd513b | /Challenge/예산.py | 286605567e5529d35ed13939f2373498596d145e | [] | no_license | https://github.com/yusuk6185/algorithm_practice | b209328f3d2ca633046f3530267083e20ce5108d | 36ddb7e319cb4714bd53a95786de612a80d0ccb5 | refs/heads/master | 2023-08-17T18:44:40.674355 | 2021-10-12T12:27:06 | 2021-10-12T12:27:06 | 393,629,077 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # https://programmers.co.kr/learn/courses/30/lessons/12982
def solution(d, budget):
d.sort()
answer = []
for i in range(len(d)):
answer.append(d[i])
if sum(answer) > budget:
answer.pop()
break
elif sum(answer) == budget:
break
return len(... | UTF-8 | Python | false | false | 487 | py | 104 | 예산.py | 103 | 0.533881 | 0.507187 | 0 | 26 | 17.730769 | 58 |
diasurgical/scalpel | 8,186,207,690,051 | 392e35b2c7edbac023fad30915f87b3c415a4cb1 | dfe1f796a54143e5eb8661f3328ad29dbfa072d6 | /psx/_dump_/34/_dump_ida_/overlay_b/set_vars.py | ea143f7c9b6fabbb98c90e2c0cc672f814dac9ac | [
"Unlicense"
] | permissive | https://github.com/diasurgical/scalpel | 0f73ad9be0750ce08eb747edc27aeff7931800cd | 8c631dff3236a70e6952b1f564d0dca8d2f4730f | refs/heads/master | 2021-06-10T18:07:03.533074 | 2020-04-16T04:08:35 | 2020-04-16T04:08:35 | 138,939,330 | 15 | 7 | Unlicense | false | 2019-08-27T08:45:36 | 2018-06-27T22:30:04 | 2019-08-26T13:07:27 | 2019-08-27T06:45:36 | 11,265 | 12 | 8 | 2 | C | false | false | del_items(0x801392A8)
SetType(0x801392A8, "struct THEME_LOC themeLoc[50]")
del_items(0x801399F0)
SetType(0x801399F0, "int OldBlock[4]")
del_items(0x80139A00)
SetType(0x80139A00, "unsigned char L5dungeon[80][80]")
del_items(0x80139690)
SetType(0x80139690, "struct ShadowStruct SPATS[37]")
del_items(0x80139794)
SetType(0x... | UTF-8 | Python | false | false | 10,665 | py | 1,891 | set_vars.py | 1,504 | 0.787998 | 0.511861 | 0 | 300 | 34.55 | 55 |
kaleyra/kaleyra-python | 3,925,600,134,132 | 115d900ecc8d61ef42ee2f766fc95d0b38fd9fbf | 8d174b71de3a33dcb7d51448601bd61688407756 | /example/txtly/txtly-log.py | 0b45569d7382c0e6ff87539fca88fa1b937fddf7 | [
"MIT"
] | permissive | https://github.com/kaleyra/kaleyra-python | 7bdda17b891091cdbcaeaa27ae345f2f87c92cd3 | 782333149e7f8673f383a5743f4ed06efb867d36 | refs/heads/master | 2023-08-14T10:21:12.738547 | 2019-08-05T17:30:08 | 2019-08-05T17:30:08 | 196,204,276 | 2 | 7 | MIT | false | 2023-07-25T16:40:30 | 2019-07-10T12:48:18 | 2021-09-21T19:28:03 | 2023-07-25T16:34:26 | 224 | 3 | 4 | 4 | Python | false | false | #!/usr/bin/env python
from api.txtly.txtly_request import TxtlyRequest
__author__ = "Likhit Jain and Yashita P Jain"
__copyright__ = "Copyright 2019, Kaleyra"
__license__ = "MIT"
__version__ = "1.0"
__email__ = "support@kaleyra.com"
__status__ = "Production"
# The user will be able to pull out event logs for particu... | UTF-8 | Python | false | false | 937 | py | 44 | txtly-log.py | 37 | 0.729989 | 0.709712 | 0 | 32 | 28.28125 | 72 |
lowysole/bot_carnaval | 15,006,615,756,409 | 91acf4002a249b3f4f0ef4c8ebc43243cb6f067d | c280fd1b21d7309eb4642a1282cdb84fdc310ed7 | /run.py | 3fbfced99469e6821a372b7f16e329bafbbfa07a | [] | no_license | https://github.com/lowysole/bot_carnaval | 63670990a6f0a7b78ce116162b875edcb7874c5c | 566a0dd8d72c2c1f42fa483e28f0abaed2fe41c5 | refs/heads/master | 2020-12-14T11:05:44.286685 | 2020-02-10T20:36:45 | 2020-02-10T20:36:45 | 234,722,083 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding=utf-8
"""
First, a few callback functions are defined. Then, those functions are passed to
the Dispatcher and registered at their respective places.
Then, the bot is started and runs until we press Ctrl-C on the command line.
Usage:
Example of a bot-user conversation using ConversationHandler.
Send /start to i... | UTF-8 | Python | false | false | 13,554 | py | 10 | run.py | 8 | 0.586215 | 0.580674 | 0 | 346 | 38.121387 | 80 |
zamerman/Udacity-AI-Programming | 12,008,728,589,092 | 5b8040c69bc4163979e7adacb243783d5efc637d | 9d7e4608c86f3afba2b2002fb740f8126554a502 | /Image Classifier Project/get_input_args_T.py | 020d56d6e87cac2600639a847240906afa9b016b | [
"MIT"
] | permissive | https://github.com/zamerman/Udacity-AI-Programming | 75f9c76a81f0ddb11de9d0680c7491baf7c52f71 | 6537f273fb00531d448330c1c85886d86e1161d2 | refs/heads/master | 2020-05-16T22:56:37.815592 | 2019-04-25T14:18:40 | 2019-04-25T14:18:40 | 183,350,504 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# PROGRAMMER: Zachary Amerman
# DATE CREATED: April 23, 2019
# REVISED DATE:
# PURPOSE: Creates a function that retrieves command line inputs from the user.
# Command Line Arguments:
# 1. Image Directory as data_dir
# 2. Save Directory as --save_dir with default value 'checkpoint... | UTF-8 | Python | false | false | 2,380 | py | 12 | get_input_args_T.py | 11 | 0.684874 | 0.668908 | 0 | 42 | 55.690476 | 186 |
camsterguy/locksmith | 4,415,226,410,339 | b02f66673da67e433cc5de32fa41c96e87048a40 | fcc5bbb8ae4e83b50e7d0bc260b39dab45da1bae | /main.py | dfb58872bd7f62faac2593fb74c1ede3a4f3b99f | [] | no_license | https://github.com/camsterguy/locksmith | c8750b5b03ea407687fd7c7f7e62e450d30eb915 | 6119e391a50c6da41cf255342725b886e79b3d01 | refs/heads/main | 2023-03-19T14:14:20.318431 | 2021-03-08T14:13:10 | 2021-03-08T14:13:10 | 339,189,521 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import criticalFunctions as crit
import statFunctions as stat
from datetime import date
import statistics
today = date.today()
month = str((today.strftime("%m"))).lower()
year = (today.strftime("%Y"))
day = (today.strftime("%d"))
scheduleURL = "https://www.basketball-reference.com/leagues/NBA_"+year+"_games-"+month+... | UTF-8 | Python | false | false | 958 | py | 6 | main.py | 5 | 0.735908 | 0.731733 | 0 | 38 | 24.052632 | 233 |
bigheart7697/SE-backend | 11,982,958,784,138 | ddbd7c7b7a5c561531a51bc66187e40873e2e472 | 0bb0a899272a39a68eae0682cd8ff3d815cbf7b5 | /apps/accounts/serializers.py | dd9786bb4f60dbecc17ac87d904789915bde6343 | [] | no_license | https://github.com/bigheart7697/SE-backend | c6df8dfa105f34e7efe47d2bc36e4325276a7094 | 107fedef1df9dd7ab6f0c59515467f44d73886b1 | refs/heads/master | 2020-12-23T21:18:00.092467 | 2020-02-04T00:04:15 | 2020-02-04T00:04:15 | 237,277,022 | 0 | 0 | null | false | 2021-06-04T22:24:54 | 2020-01-30T18:24:09 | 2020-02-04T00:04:31 | 2021-06-04T22:24:51 | 60 | 0 | 0 | 3 | Python | false | false | from drf_writable_nested import WritableNestedModelSerializer
from rest_framework import serializers
from rest_framework_jwt.settings import api_settings
from .models import CustomUser, Student, Advisor, Field
class UserSerializer(serializers.ModelSerializer):
@staticmethod
def get_token(obj):
jwt_p... | UTF-8 | Python | false | false | 5,188 | py | 13 | serializers.py | 11 | 0.602737 | 0.601773 | 0 | 152 | 33.125 | 100 |
crud3306/python | 10,565,619,581,678 | d9a5ed3295ea53dd496259fd40e8adbf0f7aaf44 | 5998f2643d797ae7469d098f1adbd95d6e5e77d8 | /99-Training/yield/yield02.py | 39e894c7e05e6a6286e665f5a4e7a9923bde31b2 | [] | no_license | https://github.com/crud3306/python | c8bfca2d0c80385a603fec27558d36ea686707d1 | df18d0d80fe20060e37d98f525393ac6b9a0d39f | refs/heads/master | 2023-01-13T17:52:40.460875 | 2020-11-19T11:46:37 | 2020-11-19T11:46:37 | 144,098,797 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def fun():
for i in range(20):
x=yield i
print('good',x)
if __name__ == '__main__':
a=fun()
print(a)
x = a.next()
print(x)
x=a.send(5)
print(x) | UTF-8 | Python | false | false | 202 | py | 40 | yield02.py | 24 | 0.524752 | 0.50495 | 0 | 15 | 12.533333 | 26 |
brainslushee/branch_creator | 11,897,059,425,422 | dfa61ce4d3612926493faacb88587ebcd34af038 | d3f4257a1d8af87a3df4cf2a434370ac16702cad | /imdb_top_250.py | 3cd2d1cbfe545bf3cb76909e07ec7a4c3e455ad8 | [] | no_license | https://github.com/brainslushee/branch_creator | 9e5e195be730de85e61db8509feb1353fea79054 | 5daac9f65ae59cd969fb27bdf5d5457265de43f4 | refs/heads/master | 2021-01-20T13:38:03.254634 | 2017-05-10T00:04:54 | 2017-05-10T00:04:54 | 90,509,996 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import requests
import re
from bs4 import BeautifulSoup
url = "http://www.imdb.com/chart/top"
r = requests.get(url)
soup = BeautifulSoup(r.content, "html.parser")
titles = soup.find_all("td", {"class": "titleColumn"})
ratings = soup.find_all("td", {"class": "ratingColumn imdbRating"})
for title in titles:
pr... | UTF-8 | Python | false | false | 383 | py | 1 | imdb_top_250.py | 1 | 0.699739 | 0.697128 | 0 | 20 | 18.15 | 67 |
mohisen/zdotfiles | 14,018,773,276,211 | dece810d9dd04494f5034ea75da8aba7ec5c901e | ce79f454483beef0007337219d9415e5feabb0cc | /1/.zsh/ipy_w.py | 670d35b5fc6faa5a7adbf61ed9e48fa13049c0e3 | [] | no_license | https://github.com/mohisen/zdotfiles | 5be5417dca38f93f44443566737effc0cd0d3514 | 8c127d0e9ffdc43f9bc12a9d79a1690df063c2b4 | refs/heads/master | 2021-01-01T17:02:58.296952 | 2017-01-30T02:08:44 | 2017-01-30T02:08:44 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
File: w.py
Author:
Email: 0
Github: 0
Description: /home/ahmed/.config/ipython/profile_z/startup/w.py
"""
import os, sys, re
xarab = u"احمد"
print(xarab)
| UTF-8 | Python | false | false | 212 | py | 932 | ipy_w.py | 451 | 0.649038 | 0.634615 | 0 | 15 | 12.8 | 63 |
superdesk/superdesk-planning | 9,431,748,194,153 | d0a705cdccb2c2462cea3a950c8326c9a01c5f2b | a823235ebebc3714ba289479a4fe7a10f65e7208 | /server/planning/planning/planning_cancel.py | ebbebe78f6fa1955ccf903d4b0ba710c4df99e0f | [] | no_license | https://github.com/superdesk/superdesk-planning | 6b64e2edd08a6b67f96cb12ca27141e1df7ea1a5 | c45392954498925b1b414ff6b49296817ea02981 | refs/heads/develop | 2023-08-17T01:19:52.690841 | 2023-08-10T14:04:17 | 2023-08-10T14:04:17 | 69,333,814 | 15 | 41 | null | false | 2023-09-11T12:53:25 | 2016-09-27T08:07:26 | 2023-03-24T11:54:13 | 2023-09-11T12:53:23 | 13,614 | 11 | 35 | 4 | TypeScript | false | false | # -*- coding: utf-8; -*-
#
# This file is part of Superdesk.
#
# Copyright 2013, 2014 Sourcefabric z.u. and contributors.
#
# For the full copyright and license information, please see the
# AUTHORS and LICENSE files distributed with this source code, or
# at https://www.sourcefabric.org/superdesk/license
from superde... | UTF-8 | Python | false | false | 5,199 | py | 1,206 | planning_cancel.py | 549 | 0.608194 | 0.605501 | 0 | 150 | 33.66 | 102 |
dp92987/pactice-python | 936,302,905,328 | a3fcc6b7825d3ff6c7f7c9d7a055976ad77dd923 | a1604f9aef6764206f77a323a911ab4716b90a55 | /hackerrank.com/Python/find-a-string.py | ce34db379b50ec898c1618994a32067ea57b1491 | [] | no_license | https://github.com/dp92987/pactice-python | cb4d274582fed7831fd64d9c2fb80c7c103650fc | 45ffde4b2614a9d8bd9c3a202778ab48a5ccfcbb | refs/heads/master | 2021-04-23T15:36:17.386586 | 2020-12-31T00:12:16 | 2020-12-31T00:12:16 | 249,936,669 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # https://www.hackerrank.com/challenges/find-a-string/problem
def count_substring_loop(string, sub_string):
counter = 0
n = 0
for i in range(len(string)-len(sub_string)+1):
print(string[n:len(sub_string)+n], sub_string)
if string[n:len(sub_string)+n] == sub_string:
counter += 1
... | UTF-8 | Python | false | false | 768 | py | 42 | find-a-string.py | 40 | 0.605469 | 0.595052 | 0 | 28 | 26.464286 | 63 |
sushi-boy/stcode-redisconf19 | 13,469,017,480,515 | a5b37c63f33b589509d5836cf147894bed8ec0e2 | 9f64e933ece1ae6d5226f14af0fc9e1748008da6 | /st_insert.py | 584d375a129d032eab26a5257679c67093e21829 | [] | no_license | https://github.com/sushi-boy/stcode-redisconf19 | 89ef20578be0882dcb7dd72225c45edce807070f | 6033147e79d613f940054e3d1db9639e89e0080f | refs/heads/master | 2020-04-19T14:52:23.138874 | 2019-03-26T06:34:06 | 2019-03-26T06:34:06 | 168,256,758 | 6 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import redis
import glob
import csv
import random
import sys
import copy
from operator import mul
from functools import reduce
try:
import mmh3
except ImportError:
import pymmh3.pymmh3 as mmh3
"""
Initialize parameters
"""
#Maximum number of precision bits
max_precision = 96
#Where you split the ST-code into... | UTF-8 | Python | false | false | 5,107 | py | 5 | st_insert.py | 4 | 0.634619 | 0.607402 | 0 | 167 | 29.413174 | 94 |
robertnowell/algos | 18,631,568,135,377 | 9873bed5bd2429cac9852726cc259f97c203c743 | 0c532599478a29b09b4f158f416df6dbc464cfbc | /recursion/dynamic/contiguous.py | 211c6e474e2af253739a0de8252e5afaa04c6e52 | [] | no_license | https://github.com/robertnowell/algos | 33d35dc2e453e2ecb994381bdf89ed084a2070b1 | 375e1015958d6d0edf05f285ff2aae3713d53a6c | refs/heads/master | 2021-06-28T22:52:30.516697 | 2020-04-05T16:45:26 | 2020-04-05T16:45:26 | 98,332,384 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def subsequenceSum(a, sum, start, end, res):
if start > end:
print sum, res
return sum
if start == end:
print sum, res
return max(sum + a[start], sum)
news = start+1
newe = end-1
sval = a[start]
endval = a[end]
return max(subsequenceSum(a, sum+sval, news, newe, res + [sval]), max(subsequenceSum(a, sum+e... | UTF-8 | Python | false | false | 927 | py | 93 | contiguous.py | 88 | 0.606257 | 0.583603 | 0 | 44 | 20.068182 | 197 |
nicholasgdml/exercicioscursoemvideo-python | 15,547,781,625,282 | 98135016088964b0d3dac17dd029e145c25e25e9 | 39d65ea505801f821ef800ba4e733872f7b361b3 | /ex_python_mundo3/ex088.py | d7f4405ce2ffefa1a9131c984ae13d80b7e75328 | [] | no_license | https://github.com/nicholasgdml/exercicioscursoemvideo-python | ac1183be8b94f12ec02241077fcc29350984d942 | b184a1bbafe54984abf1933a81e0b3c1249eb990 | refs/heads/main | 2023-08-29T03:54:27.985080 | 2021-09-27T01:16:08 | 2021-09-27T01:16:08 | 379,691,216 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''Exercício Python 088: Faça um programa que ajude um jogador da MEGA SENA a criar palpites.
O programa vai perguntar quantos jogos serão gerados e vai sortear 6 números entre 1 e 60 para cada jogo,
cadastrando tudo em uma lista composta.'''
from random import randint
lista = list()
temp = list()
quantiaListas = int... | UTF-8 | Python | false | false | 639 | py | 92 | ex088.py | 91 | 0.697161 | 0.673502 | 0 | 20 | 30.75 | 105 |
juzisan/zyys | 3,994,319,601,300 | e0b3ce9bb6558961aea8cab223dc79cdda4ecbea | 7d38f7d4c04e15c10aede607e7d2bfed1d59c803 | /6.web住院医师/web住院医师账号密码.py | 0099b0218c6e25f7fd23a7d190b292548834003d | [] | no_license | https://github.com/juzisan/zyys | 46089a2ceef64abf39d5341cbe925622fd1a111f | 0a8d69749fb2bc869c42d58a0278860f23dae3bf | refs/heads/master | 2023-08-18T13:00:32.700485 | 2023-08-05T14:12:54 | 2023-08-05T14:12:54 | 149,263,336 | 5 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python
"""
Created on Sat Nov 5 10:50:13 2016
@author: hello
"""
import codecs
import pandas as pd
from requests_html import HTMLSession
import random
from shuju import url_dict
from shuju import html_tou
import time
def timmer(func):
def warpper(*args,**kwargs):
... | UTF-8 | Python | false | false | 3,425 | py | 19 | web住院医师账号密码.py | 15 | 0.576935 | 0.54818 | 0 | 129 | 24.341085 | 219 |
bogdanpop/BuildingAre | 12,206,297,086,856 | d446577a016198e42f4deed4811d5f8f1eef11f7 | 4a8386dd175ed8a96e4fed9da17b37d5ac520845 | /src/tethpy/core/models/errors.py | b5cb3e2a89429f4a4a8648605804e300294611ce | [] | no_license | https://github.com/bogdanpop/BuildingAre | c01ff59dacd1b5ce0cc54b63c923e6112fd50eb1 | c75300f6dd9a75a8aec3a3c928718e092ad067b4 | refs/heads/master | 2016-08-11T20:23:46.503322 | 2015-11-19T23:01:17 | 2015-11-19T23:01:17 | 45,944,169 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
from django.db.models import fields
class CustomError(models.Model):
data = fields.CharField(max_length=4096)
| UTF-8 | Python | false | false | 145 | py | 24 | errors.py | 16 | 0.77931 | 0.751724 | 0 | 6 | 23.166667 | 44 |
dcolinmorgan/mili_benchmark | 1,142,461,330,042 | 6672f8dce509f20abde7bb01efb1e6727a6630a5 | 6d1526293a9a45cf1e67f830edfe9d3aae57e96c | /src/python/run_predScore.py | eb75373b6dcfeba30d2016e1e00430d7b616e222 | [] | no_license | https://github.com/dcolinmorgan/mili_benchmark | 77dab8a7b15b8861bcdfa6d3321a695733a911f8 | 6ba4a2cba23b344f16bfef87b4d27f569ffd3d79 | refs/heads/master | 2023-07-29T17:21:52.890199 | 2021-09-10T02:06:33 | 2021-09-10T02:06:33 | 278,576,747 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# source /proj/relibs/relib00/conda/bin/activate
# echo $PATH
# source /proj/relibs/relib00//conda/env/mypy3 #./conda/env/mypy3
# source /proj/relibs/relib00/conda/etc/profile.d/conda.sh
# source activate mypy3
# cd netZooPy
# python
"""
Description:
Run predScore after benchmark.
Usage:
-h,... | UTF-8 | Python | false | false | 5,792 | py | 67 | run_predScore.py | 34 | 0.631561 | 0.624655 | 0 | 172 | 32.674419 | 148 |
ushkarev/django-moj-template | 16,630,113,371,621 | 7b4dff97baf54c73079f3ae6a22427fbcbbce81a | 75013ae741b538751a8b392c606c1ca68174dbba | /builder/template/django_moj_template/app.py | 89f5e1c6b43b26b9fde86b17907038bbb4defc0c | [
"MIT"
] | permissive | https://github.com/ushkarev/django-moj-template | 0f941f7a013f1dfcb89b4f36fd91503666b9e07f | ff1bd0e6cd7791593fceee8c731ec152f0d72e5a | refs/heads/master | 2021-01-10T02:09:09.423313 | 2016-02-26T12:33:24 | 2016-02-29T17:47:07 | 52,619,306 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.apps import AppConfig as DjangoAppConfig
class AppConfig(DjangoAppConfig):
name = 'django_moj_template'
verbose_name = 'MoJ Template'
| UTF-8 | Python | false | false | 156 | py | 15 | app.py | 9 | 0.75641 | 0.75641 | 0 | 6 | 25 | 52 |
uniite/super-socket | 16,612,933,530,630 | 61a8bf05e1d577f82a7c9f37adf6d5726cb86852 | 1f864859eb7ea7bdf8268c619de637857c1688d0 | /proxy_exit.py | aadd91f1ca5d0a2ee6d9bb074233162de706c31e | [] | no_license | https://github.com/uniite/super-socket | c2f133538b590b02f2c2ff1de90e296d5a1f1b83 | a9da240ed6d6eb115d3bc858366eaab8d633b41d | refs/heads/master | 2021-01-22T11:51:09.825745 | 2011-10-10T05:56:51 | 2011-10-10T05:56:51 | 2,545,600 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from gevent import spawn, spawn_later
from gevent.event import Event
from gevent.socket import create_connection
from gevent.server import StreamServer
from gevent.queue import Queue
from gevent import sleep
from proxy_core import ProxyCore
ENTRY_HOST = "0.0.0.0"
ENTRY_PORT = 5000
ENDPOINTS = [
("127.0.0.1", 500... | UTF-8 | Python | false | false | 1,341 | py | 6 | proxy_exit.py | 6 | 0.692767 | 0.677852 | 0 | 52 | 24.788462 | 66 |
js-ferguson/gPMS | 2,869,038,183,306 | ee9050d1b96e93c1016bc63a00c15251aed418de | 2924e268fde98f3c4926c20880ebdf026ad84f81 | /clinic/migrations/0001_initial.py | 83d483e7e0bb647a86c3cf71888d9c2c98ee45f4 | [] | no_license | https://github.com/js-ferguson/gPMS | 0780c70487dd86ff4c495e257da8b1133f67bd4c | dc47549d815c656ef1a803c8250645a9789c8c9a | refs/heads/master | 2022-12-13T01:18:16.658142 | 2021-11-26T21:43:58 | 2021-11-26T21:43:58 | 232,631,335 | 0 | 1 | null | false | 2022-12-08T03:28:32 | 2020-01-08T18:29:28 | 2021-11-26T21:44:02 | 2022-12-08T03:28:31 | 5,988 | 0 | 1 | 2 | Python | false | false | # Generated by Django 3.0.2 on 2020-04-20 18:16
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import phonenumber_field.modelfields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(sett... | UTF-8 | Python | false | false | 1,895 | py | 54 | 0001_initial.py | 39 | 0.603166 | 0.582058 | 0 | 43 | 43.069767 | 134 |
Sargreis/LuffyProject | 19,318,762,919,054 | d874ceae3d4830ad1144aabe0ba71cbb1eb4a9f6 | 962f977e8470ed8b16dd134e50701c39077ec94e | /always/app01/admin.py | 020a976bdef222188ca93b856a9f4939b93a6103 | [] | no_license | https://github.com/Sargreis/LuffyProject | 775ef1e53d8aa7bb709b2267adc4ef623602c9ca | a679b64868e4fb41bfc0a823b2397194f7a9350f | refs/heads/master | 2021-09-09T10:16:20.295557 | 2018-03-15T03:20:34 | 2018-03-15T03:20:34 | 112,281,830 | 0 | 0 | null | false | 2017-11-30T03:46:57 | 2017-11-28T03:39:04 | 2017-11-28T11:34:28 | 2017-11-30T03:46:57 | 32,554 | 0 | 0 | 0 | Python | false | null | from django.contrib import admin
from app01 import models
# Register your models here.
admin.site.register(models.PricePolicy)
admin.site.register(models.Course)
admin.site.register(models.CourseDetail)
admin.site.register(models.Teacher)
admin.site.register(models.Account)
| UTF-8 | Python | false | false | 287 | py | 15 | admin.py | 10 | 0.797909 | 0.790941 | 0 | 9 | 29.666667 | 40 |
ypliu/leetcode-python | 9,062,381,005,468 | 473009319f5873260497cb3533cbe43857444066 | 02dc1f70da529c7c2aa45dcfe5e0a3aeeb1f98cc | /src/062_unique_paths/062_unique_paths.py | 404b9e7ed5c1e8dec068debb4e4d6da261e5ebce | [] | no_license | https://github.com/ypliu/leetcode-python | 2a5a14de6310cae19b9cc42091d81586e697fffb | 13e61c13c406a73debcfc996937cf16f715d55d1 | refs/heads/master | 2020-03-27T06:17:32.303442 | 2019-02-24T14:50:11 | 2019-02-24T14:50:11 | 146,094,735 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | class Solution(object):
def uniquePaths(self, m, n):
"""
:type m: int
:type n: int
:rtype: int
"""
if m <= 0 or n <= 0:
return 0
elif 1 == m or 1 == n:
return 1
total = m + n - 2
counts = min(m, n) - 1
numerato... | UTF-8 | Python | false | false | 596 | py | 226 | 062_unique_paths.py | 224 | 0.45302 | 0.426174 | 0 | 27 | 21.074074 | 40 |
thisisiron/Algorithms | 19,181,323,964,349 | e5042d0bb7141d824b405d27a9a1afccba813d03 | 71ffa58b7a6fc7bb896f5beff3d09481cbecdd84 | /BOJ/1912.py | 61af57db4fbcb358bbf3374e3b527d2475cbd971 | [] | no_license | https://github.com/thisisiron/Algorithms | 2770a4fa52d72b439c4c3913021ed62a2f162f85 | 292c10c8759903ed556eb55cf3b340203205aced | refs/heads/master | 2021-05-25T12:12:58.041247 | 2021-05-24T14:44:16 | 2021-05-24T14:44:16 | 127,402,348 | 0 | 0 | null | false | 2018-09-11T10:48:32 | 2018-03-30T08:23:38 | 2018-09-11T07:53:59 | 2018-09-11T10:48:31 | 1,349 | 0 | 0 | 0 | Python | false | null | import sys
input = sys.stdin.readline
if __name__ == '__main__':
n: int = int(input())
numbers: list = list(map(int, input().split()))
dp: list = [0] * n
for i in range(n):
if dp[i - 1] + numbers[i] > numbers[i]:
dp[i] = dp[i - 1] + numbers[i]
else:
dp[i] = numb... | UTF-8 | Python | false | false | 347 | py | 374 | 1912.py | 372 | 0.475504 | 0.466859 | 0 | 15 | 22.133333 | 51 |
b-mccormack/python-projects | 8,418,135,907,414 | 5ee179ea52753fe9c98a1f9589c8e760ef5f3be9 | c66d98e73e9ef0bec85be2f01e1edff8f86b6915 | /Beginner-Python/One hit wonders/fibonacci.py | d639a4c81c543e58bec3a1bf49e9c102b19cf072 | [] | no_license | https://github.com/b-mccormack/python-projects | fb143b1d0cdf7218ad791ea973d75b880463e403 | 2c4fcc716481b9c52048b5f6c72adcd94474f377 | refs/heads/master | 2023-01-13T03:42:56.012340 | 2021-07-19T22:22:48 | 2021-07-19T22:22:48 | 181,610,104 | 0 | 0 | null | false | 2020-10-20T02:39:28 | 2019-04-16T03:44:06 | 2020-10-19T08:28:26 | 2020-10-20T02:39:27 | 741 | 0 | 0 | 0 | Python | false | false | #Ask the user how many fibonacci numbers they would like to generate, then print out the sequence
userNum = int(input("How many fibonacci numbers would you like to see? Enter a whole number"))
fibList = [1, 1]
count = 1
while count <= userNum:
addNum = fibList[count] + fibList[count-1]
fibList.append(addNum)
co... | UTF-8 | Python | false | false | 353 | py | 58 | fibonacci.py | 57 | 0.725212 | 0.711048 | 0 | 12 | 28.333333 | 97 |
sebastian-code/ideas_sueltas | 11,295,764,025,801 | e84ca0aa2ceb70f54700d7ed1bfa30e5221294e7 | b91a9ca73c131f2296fcd07e0b69942b5fb6911d | /scrappers/robots_txt.py | f247f7eab4614fd4fd8187b3e7739cc66f0c0b52 | [
"MIT"
] | permissive | https://github.com/sebastian-code/ideas_sueltas | 2a5c77ad482c31f080b9b04c9044586ce5899379 | 40ceac081f5181d01e188a5a1c40463d891203e6 | refs/heads/master | 2022-05-04T04:58:10.569717 | 2022-03-24T13:33:09 | 2022-03-24T13:33:09 | 29,372,124 | 0 | 3 | null | null | null | null | null | null | null | null | null | null | null | null | null | import io
import urllib.request
def get_robots_txt(url):
if not url.endswith("/"):
path = url + "/"
request = urllib.request.urlopen(f"{path}robots.txt", data=None)
data = io.TextIOWrapper(request, encoding="utf-8")
return data.read()
| UTF-8 | Python | false | false | 262 | py | 114 | robots_txt.py | 101 | 0.645038 | 0.641221 | 0 | 11 | 22.818182 | 68 |
NateWeiler/Resources | 2,327,872,318,407 | f04933dd991da1abacd8a47063e9c72427993db5 | 55c250525bd7198ac905b1f2f86d16a44f73e03a | /Python/Projects/pyinstaller/PyInstaller/hooks/hook-gi.repository.Gdk.py | 9d97892eed3e150f7875896f2b4823e28cdf31fd | [
"LicenseRef-scancode-other-permissive"
] | permissive | https://github.com/NateWeiler/Resources | 213d18ba86f7cc9d845741b8571b9e2c2c6be916 | bd4a8a82a3e83a381c97d19e5df42cbababfc66c | refs/heads/master | 2023-09-03T17:50:31.937137 | 2023-08-28T23:50:57 | 2023-08-28T23:50:57 | 267,368,545 | 2 | 1 | null | false | 2022-09-08T15:20:18 | 2020-05-27T16:18:17 | 2021-12-09T12:39:04 | 2022-09-08T15:20:18 | 2,434,051 | 1 | 0 | 32 | null | false | false | version https://git-lfs.github.com/spec/v1
oid sha256:0586794fa1ffd887c7f6f6135b54e01a88e8dee0904b9c6d8e244a604e31c004
size 747
| UTF-8 | Python | false | false | 128 | py | 36,207 | hook-gi.repository.Gdk.py | 16,386 | 0.882813 | 0.5 | 0 | 3 | 41.666667 | 75 |
tapiaw38/desarrollo | 12,034,498,396,999 | 99f128758dc3d8347ef66fb34e6c6f8cbecde6a5 | ad9ab95361275f26c2ff1e20f7ab99bab3fcdc97 | /usuario/views.py | 8f3e7846087502471d70ce6b0b5e8ba59991424b | [] | no_license | https://github.com/tapiaw38/desarrollo | efbd03433c20b52c1e74b69fd63a539e0927dabf | e64f27aea9321da5884cbde986385e08006b9ccc | refs/heads/master | 2021-05-16T18:59:57.452208 | 2020-03-27T04:08:19 | 2020-03-27T04:08:19 | 250,429,496 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.http import HttpResponse
from django.shortcuts import render
from django.core.paginator import Paginator
from usuario.forms import UsuarioForm, CargaForm
from usuario.models import Usuario
# Create your views here.
from django.views.generic import View
from desarrollo.utileria import render_pdf
from django.... | UTF-8 | Python | false | false | 1,822 | py | 6 | views.py | 4 | 0.716795 | 0.715697 | 0 | 55 | 32.127273 | 79 |
TTOFFLINE-LEAK/ttoffline | 8,478,265,447,376 | 2df02146d387d44bcdc49789a34acd4c4a40e0d6 | 8e69eee9b474587925e22413717eb82e4b024360 | /v1.0.0.test/toontown/uberdog/DistributedDeliveryManagerUD.py | 06d593d29a39b24e57f31ef731e64343e79b6f59 | [
"MIT"
] | permissive | https://github.com/TTOFFLINE-LEAK/ttoffline | afaef613c36dc3b70514ccee7030ba73c3b5045b | bb0e91704a755d34983e94288d50288e46b68380 | refs/heads/master | 2020-06-12T15:41:59.411795 | 2020-04-17T08:22:55 | 2020-04-17T08:22:55 | 194,348,185 | 5 | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectGlobalUD import DistributedObjectGlobalUD
class DistributedDeliveryManagerUD(DistributedObjectGlobalUD):
notify = DirectNotifyGlobal.directNotify.newCategory('DistributedDeliveryManagerUD')
def requestAck(self):
... | UTF-8 | Python | false | false | 458 | py | 717 | DistributedDeliveryManagerUD.py | 715 | 0.779476 | 0.779476 | 0 | 11 | 40.727273 | 88 |
vikramahuja1001/Classification-Of-News-Data | 17,248,588,692,704 | 7748878548889645d715ffcb445164f6f2f2eb58 | 91372fe7e6df241bd906cc252722c5e65cd8b896 | /get_data.py | 0eb191aed4c127e3df437e7512f410e6e750aba9 | [] | no_license | https://github.com/vikramahuja1001/Classification-Of-News-Data | 2b0f20bcbd1b313d5f63cdc3594b167ba78f9d6a | c1e89e2bb26b90387836251e1c8acfd3985bd55e | refs/heads/master | 2021-01-10T01:26:43.142921 | 2016-01-17T07:07:07 | 2016-01-17T07:07:07 | 49,806,981 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
import os.path
import re
import math
import random
count = 0
#19997 files total
topics = ["alt.atheism", "comp.graphics", "comp.os.ms-windows.misc", "comp.sys.ibm.pc.hardware", "comp.sys.mac.hardware", "comp.windows.x", "misc.forsale", "rec.autos", "rec.motorcycles", "rec.sport.baseball", "rec.sport.hockey"... | UTF-8 | Python | false | false | 5,320 | py | 3 | get_data.py | 3 | 0.57312 | 0.54906 | 0 | 274 | 18.419708 | 402 |
Bytamine/ff-olymp | 8,959,301,803,299 | fe116136efd330e6dabd522afa12816dd64dc07f | e6304b9e9989bc54f66896b371f63eac41cc1405 | /08 lists/8.py | 0cff018e776fb58a6a5afab19fb56e117d7b913b | [] | no_license | https://github.com/Bytamine/ff-olymp | ece2f8f28a44c16f379c8e1b7ea3cacc65fbb032 | 3b3ffbf602f1099f1a2e9f817a094d3e98863f61 | refs/heads/master | 2022-09-27T12:25:56.835132 | 2020-06-03T17:33:49 | 2020-06-03T17:33:49 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
a = list(map(int, input().split()))
a = [x for x in a if x != 0] + [0] * a.count(0)
print(' '.join(map(str, a))) | UTF-8 | Python | false | false | 138 | py | 123 | 8.py | 123 | 0.536232 | 0.507246 | 0 | 7 | 18.857143 | 47 |
ydanilin/dattime | 17,867,063,959,280 | b131d62eeea16af30632ce6f34386e64276a2d67 | 8b6beaece9cc58848b73b1d96ca93e48668ffbc8 | /dattimewww/epoch/views.py | 211b6985f08f990b44a8faeec6ddcf04c1309229 | [] | no_license | https://github.com/ydanilin/dattime | bb68573a143d44a2ba4ab1a8cd1690c700ca1bad | 40d961582a8ae250b2cd107855fb286201995680 | refs/heads/master | 2021-01-20T03:14:20.064068 | 2017-06-05T19:21:29 | 2017-06-05T19:21:29 | 89,516,006 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import json
from datetime import datetime
from django.shortcuts import render
from django.http import HttpResponse
from django import forms
from .models import Epocher
from django.template import Template, Context
Ep = Epocher()
tzChoices = [(-12, 'GMT-12'), (-11, 'GMT-11'), (-10, 'GMT-10'),
(-9, 'GMT-... | UTF-8 | Python | false | false | 6,304 | py | 23 | views.py | 13 | 0.563293 | 0.538071 | 0 | 153 | 40.202614 | 106 |
AmberJBlue/Project-Euler-Solutions | 18,769,007,084,731 | ac117b6547025f6f59bc260b0c2d947b15b976c8 | 7ed1135be27cbf578d003f922dd15585387b0f91 | /python/1-50/2.py | 740da13fe2620936f546859d73e597aed03faad1 | [] | no_license | https://github.com/AmberJBlue/Project-Euler-Solutions | a83484b29e6fa4c79ac4bf970272ac36bb338b7a | 754730e9e3644ee20523f7dffc6c60b7c0ac33c7 | refs/heads/master | 2020-04-29T08:58:55.941759 | 2019-08-14T19:11:02 | 2019-08-14T19:11:02 | 176,006,651 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
def solution():
result = 0
current = 1
nextNum = 2
while current <= 4000000:
if current % 2 == 0:
result += current
current, nextNum = nextNum, current + nextNum
return str(result)
if __name__ == "__main__":
print(solution())
| UTF-8 | Python | false | false | 242 | py | 96 | 2.py | 94 | 0.619835 | 0.570248 | 0 | 13 | 17.538462 | 47 |
nky-uno/es-apps | 7,129,645,728,302 | e3abe67d43c9c42c351dbe628e983e58c792d006 | 847b23ed62e52ff23ccf01da67802db1e5d89ff7 | /pymodules/es_search.py | fef0fe2b60e7ffea9fdc00052b3480287d1d4876 | [] | no_license | https://github.com/nky-uno/es-apps | 68382ae1f3429da55034338fad4f4aef3fcb97bb | a719e559b1875dfc4b366e93612612b0fb2a6fad | refs/heads/master | 2020-12-06T15:07:13.096888 | 2020-01-08T11:16:29 | 2020-01-08T11:16:29 | 232,492,750 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from datetime import date
from dateutil import relativedelta
import calendar
import logging
import pandas as pd
from retry import retry
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
@retry(tries=3, delay=2, backoff=2)
def get_elastic():
try:
# connect to the Elasticsearch... | UTF-8 | Python | false | false | 2,977 | py | 8 | es_search.py | 5 | 0.331878 | 0.32348 | 0 | 86 | 33.616279 | 105 |
mhema524/Udacity-DataModeling-with-PostgreSQL | 1,795,296,372,804 | 25026b62f3711266cc9094b399b4d293cb4a36b1 | 95b522ce90c439c2c29c39f30dc0a99b79a24c9d | /sql_queries.py | 5aef89ffbe7109d521be76112483f9bf32c82129 | [] | no_license | https://github.com/mhema524/Udacity-DataModeling-with-PostgreSQL | 1934310e8f889c50fdefa0fef2160582c0be4924 | c8ba836bca4fb5dc8f87d264e72882935ca1ddbe | refs/heads/master | 2022-07-05T13:39:46.912380 | 2020-05-15T16:42:55 | 2020-05-15T16:42:55 | 264,006,155 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # DROP TABLES
songplay_table_drop = "DROP TABLE IF EXISTS songplay_table"
user_table_drop = "DROP TABLE IF EXISTS user_table_drop"
song_table_drop = "DROP TABLE IF EXISTS song_table_drop"
artist_table_drop = "DROP TABLE IF EXISTS artist_table_drop"
time_table_drop = "DROP TABLE IF EXISTS time_table_drop"
# CREATE TAB... | UTF-8 | Python | false | false | 2,956 | py | 2 | sql_queries.py | 1 | 0.581529 | 0.574087 | 0 | 134 | 21.067164 | 129 |
Priyanka328/KnapsackProblem | 386,547,075,240 | 0d3d29cf8183541e9275cc3c70a9428df6222164 | 78cee9c7a0722e3d94120b33615beaa13e2c9bc2 | /algorithm/bound_and_branches.py | 1b8570871dfc265a99463e864023b462d4b243aa | [
"MIT"
] | permissive | https://github.com/Priyanka328/KnapsackProblem | 59efc0acec82e7ce170e5bdeb44ccf20f3236028 | 5a6e384f70ecc21f8b28b78a93ff352b85519d09 | refs/heads/master | 2022-07-19T14:30:45.352261 | 2020-05-16T15:37:03 | 2020-05-16T15:37:03 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from collections import deque
import numpy as np
from datetime import datetime
from datetime import timedelta
from utils.simple_queue import SimpleQueue
from utils.simple_queue import Node
from algorithm.base import Algorithm
from ortools.linear_solver import pywraplp
import sys, os
class HiddenPrints:
def __enter... | UTF-8 | Python | false | false | 3,681 | py | 10 | bound_and_branches.py | 7 | 0.572942 | 0.563977 | 0 | 108 | 33.083333 | 119 |
GhostofAdam/FBGAN | 18,640,158,082,734 | a7d2b971bd82e935f184837f6a399dadc0caa243 | d06ec71db7d7b27d878415610a9f8841182453bd | /loader.py | 3770bfec60aed1437833116fe217597b3d4bba1f | [] | no_license | https://github.com/GhostofAdam/FBGAN | 4b48230d3ada5597aa1154350efb8c6a4d1c09df | 9e002fbd680c65890dd90a7c608e787a42236849 | refs/heads/master | 2022-12-02T14:16:24.059723 | 2020-08-19T15:00:03 | 2020-08-19T15:00:03 | 281,961,691 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import pandas as pd
import numpy as np
def data_loader(embed_type):
data = pd.read_csv("data.csv",index_col=0)
if embed_type == "NAVIE":
X = np.zeros((len(data),26))
for i, seq in enumerate(data['i']):
for letter in seq:
X[i][ord(letter)-ord('A')] += 1
else:
... | UTF-8 | Python | false | false | 1,222 | py | 20 | loader.py | 12 | 0.549918 | 0.540917 | 0 | 37 | 32.054054 | 88 |
ruanramos/LoL_Key_Pressing_Counter | 9,758,165,702,338 | 2ede1ea715f6c8a98ad4708eba253cf9785e989a | 486be403edc226824254f0b076263cf2ca0fe249 | /Tests/tests.py | b226b9ce2847353eae5b426364c9dfbfd3f716ac | [] | no_license | https://github.com/ruanramos/LoL_Key_Pressing_Counter | e03f66c6a3ed300ab8426331d2c23e0f6ae80ebe | 1ce19608668328a1451d5eed49f71cb3b4051199 | refs/heads/master | 2020-07-14T12:23:32.025420 | 2019-09-06T03:50:42 | 2019-09-06T03:50:42 | 205,317,571 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import unittest
from key_counter import str_time_2_seconds
class TestStrTime2Seconds(unittest.TestCase):
def test_str_time_2_seconds(self):
self.assertEqual(9945, str_time_2_seconds('2:45:45'))
def test_str_time_2_seconds_1_hour(self):
self.assertEqual(3600, str_time_2_seconds('1:00:00'))
... | UTF-8 | Python | false | false | 486 | py | 3 | tests.py | 2 | 0.668724 | 0.58642 | 0 | 17 | 27.588235 | 61 |
yamaz420/PythonIntro-LOLcodeAndShit | 8,194,797,608,452 | 8cdc797b87b0c0d372962aee10a2faf0522e3991 | 4fc4cbf4aa267e76a628b1d03cad20f3f1e7d5f4 | /pythonLOL/StringsAndCasting.py | b8fea2461cca44a53cce48c60742bd4f569939fb | [] | no_license | https://github.com/yamaz420/PythonIntro-LOLcodeAndShit | 99eabe791d94373ac00cd81330bb871898322ee5 | 028d5c767e2c033ad77521fb8dcca0be1507da9e | refs/heads/main | 2023-03-16T00:11:43.645834 | 2021-03-12T22:30:32 | 2021-03-12T22:30:32 | 347,214,330 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | zz = 10 #int
my_name = "Erik" #string
height = 188.5 #float
is_cool = True #boolean
is_ready = False #boolean
print(my_name)
my_name = 40 #int
print(my_name);
p, y, z = "HEJ", 200, 1000
print(p)
print(y)
print(z)
# *, +, -, /,
a = 5**2 #25
b = 3**3 #27
c = 5/ 2 #2.5 float
d = 5//2 #2 int-di... | UTF-8 | Python | false | false | 1,201 | py | 19 | StringsAndCasting.py | 19 | 0.610325 | 0.574521 | 0 | 45 | 24.6 | 186 |
CLCMacTeam/bigfiximport | 4,715,874,108,934 | 8af524b2d90a33937d21680dd55f1cf76daf801f | d98f4e30c8b571c1fcc59dff18781276384061cf | /munkilib/installer.py | 6c40956ac9cdf8294c14ede1bc7b50f1b37f68e4 | [] | no_license | https://github.com/CLCMacTeam/bigfiximport | c4b6712dd3dcb4fdf71fbd58674c23bd5066ca0c | 624719845067ef0bd287eb3e9f341d006241a47c | refs/heads/master | 2021-01-17T05:21:42.337360 | 2016-07-06T15:54:10 | 2016-07-06T15:54:10 | 62,732,287 | 1 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
# encoding: utf-8
#
# Copyright 2009-2014 Greg Neagle.
#
# 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 require... | UTF-8 | Python | false | false | 54,735 | py | 20 | installer.py | 13 | 0.567133 | 0.563844 | 0 | 1,305 | 40.942529 | 80 |
opeadeyomoye/learning-python | 8,005,819,073,330 | fb8b2344d244c9ec06facbcb510cf30fe6a8dc06 | 0ff544e93a68289ecf42fadda24716ff0dae093c | /the-basics/20-functions-and-files.py | 1a9b6d43a05e5e05dbb5e3dde7560b23ccc09c7e | [] | no_license | https://github.com/opeadeyomoye/learning-python | b34b0b1a44c8cc030260ea434413c9c002c737fd | 01727fc9e5060305bacc644781bfc5dfca7e5982 | refs/heads/master | 2021-05-08T00:11:39.204044 | 2017-12-17T23:47:50 | 2017-12-17T23:48:00 | 107,610,807 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from sys import argv
script, inputFile = argv
def printAll(file):
print file.read()
def rewind(file):
file.seek(0)
def printLine(line_count, file):
print line_count, file.readline()
currentFile = open(inputFile)
print "First, we print the whole file:"
printAll(currentFile)
print "Now, we go back to z... | UTF-8 | Python | false | false | 508 | py | 19 | 20-functions-and-files.py | 17 | 0.724409 | 0.716535 | 0 | 31 | 15.387097 | 39 |
Muksam212/Datastructure-and-algorithm | 11,038,065,965,638 | bc9635b898bf49b65e2da9607f3216095d61d00f | a09f72615cd74e7be3db6761e6378db73cbe5999 | /bubblesort.py | cde7411755b29e41b164d2d7c2d0fae352f89780 | [] | no_license | https://github.com/Muksam212/Datastructure-and-algorithm | 671161c36b242670762500338e3ef49d953688e0 | 5e35c511b594da123de55a043aa96920f4c42fe5 | refs/heads/main | 2023-03-21T00:14:18.906562 | 2021-03-18T12:42:25 | 2021-03-18T12:42:25 | 349,069,186 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def bubble_sort(elements):
size=len(elements)
for i in range(size-1):
swapped=False
for j in range(size-i-1):
if elements[j]>=elements[j+1]:
tmp=elements[j]
elements[j]=elements[j+1]
elements[j+1]=tmp
swapped=Tr... | UTF-8 | Python | false | false | 477 | py | 8 | bubblesort.py | 7 | 0.486373 | 0.457023 | 0 | 17 | 26.176471 | 42 |
wk-ff/my-leetcode-python | 11,003,706,222,359 | f1739d540f5680a490f318aad5a08d8c5eacc8c5 | 9fa4966955d0cdd7123bec71093fb6b23baeaabf | /17.Letter_Conbinations_of_a_phone_number.py | 571cf05f55b0c7c4b769b68ebc9d698c8652db09 | [] | no_license | https://github.com/wk-ff/my-leetcode-python | 7cca50eabffa04007d086a22bbadfbd35d57f03c | a8d1724fd9340037c6c0dcac3b3d0e31fe04a2d5 | refs/heads/master | 2022-03-26T11:36:47.829692 | 2020-01-08T13:38:04 | 2020-01-08T13:38:04 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # 24ms, 93.58%
# 12.6MB, less than 100%
class Solution:
def letterCombinations(self, digits: str) -> List[str]:
strList = ['abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs',
'tuv', 'wxyz']
out = []
if len(digits) == 0:
return out
out = [s for s in strList[int(digits[0... | UTF-8 | Python | false | false | 447 | py | 23 | 17.Letter_Conbinations_of_a_phone_number.py | 22 | 0.503356 | 0.465324 | 0 | 13 | 33.384615 | 67 |
wrpearson/fasta36 | 3,934,190,089,799 | 816dc67ca0e7ddeee6d2072d2648f7468e8c8840 | f3878a19f8cd79cac4beb84ce73105f22bc5cc26 | /scripts/ann_pfam_sql.py | f5245317faebe038a0c8c220e45a8398a84a2ff7 | [
"Apache-2.0",
"LicenseRef-scancode-proprietary-license",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | https://github.com/wrpearson/fasta36 | 8c1a3f233de906b552e2768917cf89dc46f29f49 | 71b899362e2cef2f5a2c975e57f0f7995f93e3ea | refs/heads/v36.3.8 | 2023-06-10T12:00:55.143828 | 2023-05-31T23:54:18 | 2023-05-31T23:54:18 | 24,374,820 | 101 | 17 | Apache-2.0 | false | 2023-05-19T16:57:44 | 2014-09-23T14:30:42 | 2023-05-16T14:26:10 | 2023-05-03T17:24:27 | 6,766 | 90 | 13 | 6 | C | false | false | #!/usr/bin/env python3
################################################################
# copyright (c) 2022 by William R. Pearson and The Rector &
# Visitors of the University of Virginia */
################################################################
# Licensed under the Apache License, Version 2.0 (the "License... | UTF-8 | Python | false | false | 8,244 | py | 199 | ann_pfam_sql.py | 33 | 0.598253 | 0.590369 | 0 | 255 | 31.329412 | 169 |
andrew-houghton/misc-python-scripts | 5,085,241,305,093 | daf11a190148404aa076c9380fe072747822f230 | 2d3c712d1e836fdfc7e99696bdca214cf4392f1c | /fourier Analysis/myFourier.py | e343a989ff870069bd790ec04be2ede65602a88f | [] | no_license | https://github.com/andrew-houghton/misc-python-scripts | 4bcc8e04e02a2f33121ae929bc416d980dba482e | 691d63aadadd1d2add146bc19803d4fe37328338 | refs/heads/master | 2021-09-02T07:35:20.644367 | 2017-12-31T14:33:44 | 2017-12-31T14:33:44 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ##Manual fourier analysis.
#Import necessary libraries. (do not use numpy.fft)
import numpy as np
#from scipy.io import wavfile
import matplotlib.pyplot as plt
pi=np.pi
#create sample data with frequency of 2pi
nums=np.arange(0,10*pi,pi/50)
data=np.sin(nums)
#show the sample data
plt.plot(nums,data)
... | UTF-8 | Python | false | false | 1,152 | py | 42 | myFourier.py | 33 | 0.689236 | 0.677083 | 0 | 44 | 24.181818 | 102 |
pannal/Kitana | 12,421,045,467,941 | 4e14d425ff1a3cbee6735c31e23a14637d7de0e4 | fe09acf3920c2ae8449ed4d64c6773a8d8f0db1d | /tools/cache.py | 85353ea9bbd99beec9ff5afdfff9a1ee281d4825 | [
"MIT"
] | permissive | https://github.com/pannal/Kitana | 8eb520ad1bfdf76537442ba743236fc842a206b5 | 287a8b778385d1ced921e0250665883891022951 | refs/heads/master | 2023-08-14T10:58:25.196287 | 2023-04-26T12:36:02 | 2023-04-26T12:36:02 | 152,675,031 | 460 | 39 | NOASSERTION | false | 2023-07-25T20:47:42 | 2018-10-12T01:09:12 | 2023-07-17T21:52:56 | 2023-07-25T20:47:41 | 830 | 447 | 26 | 19 | SCSS | false | false | # coding=utf-8
from cherrypy.lib.caching import MemoryCache
class BigMemoryCache(MemoryCache):
maxobj_size = 500000
maxsize = 50000000
| UTF-8 | Python | false | false | 145 | py | 26 | cache.py | 10 | 0.758621 | 0.655172 | 0 | 7 | 19.714286 | 44 |
alexcatmu/CFGS_DAM | 17,145,509,464,433 | 4d809e535b0214242e770884cdff49933de49dfd | 0362023a283a492733336dbe899714236b9a06ef | /PRIMERO/python/ejercicio52 cuenta2.py | 28584841bd365ecedd4cfd79bd052109c432fefe | [] | no_license | https://github.com/alexcatmu/CFGS_DAM | 205b8bcc6d09f8351894c5f70e1a354ff25c17a3 | 1a4384dee8833b5d8034fdf0909a0774cbe5b1c0 | refs/heads/master | 2020-04-07T18:27:15.225638 | 2019-12-17T19:34:39 | 2019-12-17T19:34:39 | 158,610,709 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
2.9) Feu un programa que llegeixi una frase, i busqui a dins
la paraula “hola”.
versió a) Si la troba, ens dirà la primera posició on
l’ha trobada (només la busca un cop)
versió b) Ens dirà totes les vegades que ha trobat la
paraula ( doncs la paraula pot estar repetida a la frase,
i cal seguir buscant-... | UTF-8 | Python | false | false | 861 | py | 409 | ejercicio52 cuenta2.py | 263 | 0.584615 | 0.572781 | 0 | 39 | 20.615385 | 84 |
sajibhaskaran/Algorithms | 19,430,432,055,702 | 37a4a845f1ea3dedcf6e92e0ad14051463bfcc9f | 2db2f3f7a292c2c364b3353d74061dc2e2a87831 | /Palindroms/palindromes.py | f6a9f83bd989a44d308e5028e249a6a5be068679 | [] | no_license | https://github.com/sajibhaskaran/Algorithms | 477674f3ff7302329e1f520513d440cd12d7b9e4 | 15c2b81fc2a4c6bfbc18126a67b34ec4592fa0c6 | refs/heads/master | 2021-01-23T06:58:33.741369 | 2017-02-24T23:12:36 | 2017-02-24T23:12:36 | 80,497,212 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Purpose : Check for Palindromes
# Note : Need to remove all non-alphanumeric characters (punctuation, spaces and symbols) and
# turn everything lower case in order to check for palindromes
#
# Author : Saji Bhaskaran
import re
def palindrome(str):
str1 = re.sub(r"[^\w\s]", '', str)
str2 =... | UTF-8 | Python | false | false | 601 | py | 16 | palindromes.py | 16 | 0.602329 | 0.582363 | 0 | 22 | 26.272727 | 96 |
vforgione/metaltrenches | 14,714,558,002,232 | f07e4b4e09486605779ae387be960e1a91131ba8 | f9870caaaf130cbc73349449217f06833a9e609a | /metaltrenches/settings/common/dirs.py | dfb9a14d7dd7453b0629b8a00ed13fe0194dea25 | [] | no_license | https://github.com/vforgione/metaltrenches | 5a56f0aa5ef05df519d06e265c17971c6e519e6a | 1f95f940aa1fe625a0ec966f7b434569a3724d33 | refs/heads/master | 2021-03-22T03:49:32.071545 | 2018-12-08T15:13:17 | 2018-12-08T15:13:17 | 36,133,731 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
COMMON_SETTINGS_DIR = os.path.dirname(__file__)
SETTINGS_DIR = os.path.dirname(COMMON_SETTINGS_DIR)
PROJECT_DIR = os.path.dirname(SETTINGS_DIR)
BASE_DIR = os.path.dirname(PROJECT_DIR)
| UTF-8 | Python | false | false | 199 | py | 62 | dirs.py | 27 | 0.738693 | 0.738693 | 0 | 10 | 18.9 | 51 |
fgregg/craigslistings | 13,176,959,683,992 | 6a31c472611ce677b9e5d152a0ef8c8eab8a3614 | 550433f24df037ae9967c03e6ba0ae911f3e208b | /craigslistings/download.py | e7fc227366a6d5b5d08ae299b9e9b3484944a5d1 | [
"MIT"
] | permissive | https://github.com/fgregg/craigslistings | e5dcce997363c672557741cd371092099ae3ac04 | bd90299537c9e34d5bd22d310780f269872f1789 | refs/heads/master | 2021-01-01T03:30:35.898679 | 2016-05-19T19:38:43 | 2016-05-19T19:38:43 | 58,775,492 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import requests
import logging
def save_rss(feed, city, cursor):
section, url = feed
url = url % city
logging.info('%s', city)
logging.info('%s', section)
logging.info('%s', url)
listing = requests.get(url).text
cursor.execute("""INSERT INTO rss (section, url, raw, city) """
... | UTF-8 | Python | false | false | 1,349 | py | 7 | download.py | 4 | 0.510007 | 0.507784 | 0 | 58 | 22.241379 | 67 |
ausk/pyco_utils | 13,829,794,704,377 | a35e6b027263984004356b712a32119de1826b90 | 418959edd5d99a8c526c3ba0253eba8e9f74fd36 | /pyco_utils/flask/upload_files.py | e6e73b0aa39a6d70bf6d1b448c0bdcd782f2bdc9 | [] | no_license | https://github.com/ausk/pyco_utils | 49c8c6842555638cc3be22748bc9891033ea34ac | 2e00ae45ddcfa29a8d4496eb63d3041e20d78f35 | refs/heads/master | 2020-04-01T04:39:13.950956 | 2017-11-06T20:44:25 | 2017-11-06T20:44:25 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from . import (
app,
request,
json_response,
)
def upload_file(file, path='.'):
filename = file.filename
filepath = '{}/{}'.format(path, filename)
file.save(filepath)
file.seek(0)
return path
@app.route('/upload/images', methods=['POST'])
def upload_images():
files = request.file... | UTF-8 | Python | false | false | 416 | py | 29 | upload_files.py | 28 | 0.622596 | 0.620192 | 0 | 20 | 19.8 | 51 |
Bala-subu/test | 12,747,462,978,544 | fcc5f8c9853fac5e8d858d87bff6f0895c437f0c | b215139a56d45065986d8adf8646f2eac727069f | /project.py | a1bb9e35adffb2208d1f51e79c1a55a36ce75b92 | [] | no_license | https://github.com/Bala-subu/test | 577107cf68d57fd7f7d16442c8515d44ccb61413 | eaf70c69a56dcbec8f987d9a31c79af293e97455 | refs/heads/main | 2023-07-29T07:25:25.081121 | 2021-09-14T11:06:59 | 2021-09-14T11:06:59 | 385,990,802 | 0 | 0 | null | false | 2021-09-14T11:06:59 | 2021-07-14T15:37:52 | 2021-07-14T15:44:14 | 2021-09-14T11:06:59 | 2 | 0 | 0 | 0 | Python | false | false | from tkinter import *
root= Tk()
root.geometry("500x300")
def bala():
print("form submitted");
Label(root, text="REGISTRATION FORM", font="arial 20 bold").grid(row=0, column=2)
name= Label(root, text="Name")
phone= Label(root, text="Phone")
gender= Label(root, text="Gender")
email= Label(root, text="Email"... | UTF-8 | Python | false | false | 1,195 | py | 1 | project.py | 1 | 0.723849 | 0.695397 | 0 | 43 | 25.837209 | 89 |
VoTonggg/bookaholic-project | 13,967,233,650,882 | 80ad7782ee4e51ef50105c5cb7fc71f72b1997c4 | 2abe23cdf20f918748832b10ca6465961e1ff533 | /nytbook_crawl.py | 761242b4824ee9a2c45f24e7eee29b399046d4b4 | [] | no_license | https://github.com/VoTonggg/bookaholic-project | a27912b71e0019893dbbf5f8a8346dbccbb49597 | 1a44a23b751402998d38e81bc6b5ee39c6c07fa5 | refs/heads/master | 2020-03-22T21:59:03.262399 | 2018-07-28T23:20:01 | 2018-07-28T23:20:01 | 140,726,240 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from urllib.request import urlopen, urlretrieve
from bs4 import BeautifulSoup
import pyexcel
import sys
# 1. Download Webpage
#1.1 Create a connection
a_list_of_dict = []
for i in range(1,2):
url = "http://www.ntybooks.com/z/nty/top/" + str(i)
#1.2
html_content = urlopen(url).read().decode('utf-8')
... | UTF-8 | Python | false | false | 1,263 | py | 19 | nytbook_crawl.py | 9 | 0.586698 | 0.577197 | 0 | 52 | 23.307692 | 73 |
aniknagato/CerebralCortex-DataAnalysis | 17,617,955,850,331 | 8ad3e44e7e9e94ef98c19b2cf9b9cef67c151cdf | 0188fc0a8d5b2a70e9c9e19b8c2c677d1498d162 | /core/feature/task_features/utils.py | f091474138ba8d500b0a9e6ee9d68700d824ab04 | [] | no_license | https://github.com/aniknagato/CerebralCortex-DataAnalysis | 32bea4b8eda4756f0b7cc22d36af02b386e96c2b | 78bd309063f0332f19fdd94f7f329e02bed21824 | refs/heads/master | 2020-03-08T09:56:42.219341 | 2018-04-13T18:01:57 | 2018-04-13T18:01:57 | 128,059,192 | 1 | 0 | null | true | 2018-04-09T05:13:27 | 2018-04-04T12:30:51 | 2018-04-09T05:05:55 | 2018-04-09T05:13:27 | 10,905 | 0 | 0 | 0 | Python | false | null | # Copyright (c) 2018, MD2K Center of Excellence
# -Mithun Saha <msaha1@memphis.edu>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyr... | UTF-8 | Python | false | false | 7,120 | py | 39 | utils.py | 28 | 0.630337 | 0.625 | 0 | 172 | 40.395349 | 101 |
luaffjk/AQV.GUI | 18,416,819,780,859 | 1e7872a02be43b42cf194d53dd39c20da9d33ae6 | 4a3b13ab8061e5991e77bbe32989353167f05307 | /metricas.py | 8180ec6ef89d90f7446dc6476aad9095d2873c38 | [] | no_license | https://github.com/luaffjk/AQV.GUI | 22d655266be9033dac6f5fee4fdf3c5b1acba3e0 | 18adc6addc565a138f2e2c6098f464aabe3730cb | refs/heads/master | 2021-01-19T21:29:45.892586 | 2017-01-30T18:32:38 | 2017-01-30T18:32:38 | 88,659,051 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy import misc
import metrica
def metricas (orig, test, arquivo):
arquiv = arquivo
subjectscores = open(arquiv, 'r')
conteudo_texto1 = subjectscores.read()
aa = conteudo_texto1.split('\n')
cc = aa[:-1] ... | UTF-8 | Python | false | false | 1,364 | py | 7 | metricas.py | 3 | 0.440616 | 0.422287 | 0 | 52 | 25.192308 | 80 |
eebmagic/python_turtle_art | 7,851,200,251,618 | 98511df32633f9138558c133001aaa5b0b5b1d24 | aef3aa1f16b6c10f2ee1f05582be92eec6e5af02 | /triangle_wallpaper/triangleWallpaper.py | 89673372dd5a9b109bf30f7a14e069e9435ef33d | [] | no_license | https://github.com/eebmagic/python_turtle_art | b05574865082d475f38d127d9e9149dc7f383067 | d9d16ad47394833617405c85ad22007e7674fcbc | refs/heads/master | 2023-01-29T15:08:21.182173 | 2023-01-17T22:10:19 | 2023-01-17T22:10:19 | 204,382,000 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import turtle
def tri(turt, size=100):
for i in range(3):
turt.fd(size)
turt.left(120)
def drawThatShape(turt):
turt.begin_fill()
for i in range(3):
lastDistance = 100 + 20 * i
tri(turt, lastDistance)
turt.end_fill()
turt.fd(lastDistance + 20)
turt.left(120)
turt.fd(lastDistance + 20)
turt.hideturt... | UTF-8 | Python | false | false | 669 | py | 27 | triangleWallpaper.py | 20 | 0.689088 | 0.618834 | 0 | 48 | 12.9375 | 30 |
ganl2805/Ejercicios_Python | 12,910,671,722,463 | 14a5e3c79f1edd42c65f74953157653154b93be0 | b04773a25d8fad1e0ef9cabcb2f4ac240c61f424 | /Programa3.py | c36b0fe9b0a151086a445cc2b9775b40cc6817bd | [] | no_license | https://github.com/ganl2805/Ejercicios_Python | 248823032cb1228f1176ae9352cde43901b7f6c3 | 79cb8777fb3977bd7840943c9a75daaa71a36ce4 | refs/heads/master | 2021-01-23T02:40:26.435413 | 2017-03-24T02:08:46 | 2017-03-24T02:08:46 | 86,016,294 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def tres():
i=13
n=1
a = int(input("Numero de impares apartir de 13: "))
while n<=a:
n+=1
print(i)
i+=2
tres()
| UTF-8 | Python | false | false | 141 | py | 4 | Programa3.py | 4 | 0.48227 | 0.432624 | 0 | 9 | 14.666667 | 54 |
24jllewis/deep-rl-tensorflow | 5,995,774,365,239 | f91e0656bbf25e330ac2a6da8f6c87627234ab24 | 94fed3e4e964b97cfe9ec1b563d251dc556408e8 | /networks/layers.py | 86d60520d12571b3822a3a4c5831b467663cec5f | [
"MIT"
] | permissive | https://github.com/24jllewis/deep-rl-tensorflow | 37a2df57c5b77c4a9d45df13626b262b962c062d | 324998a1eb14f24d13bbd72a4ea3f202c92f03d4 | refs/heads/master | 2020-09-06T06:26:34.360365 | 2019-12-13T00:01:52 | 2019-12-13T00:01:52 | 220,350,644 | 1 | 0 | MIT | true | 2019-11-07T23:54:13 | 2019-11-07T23:54:12 | 2019-11-07T07:03:00 | 2018-06-04T07:19:33 | 613 | 0 | 0 | 0 | null | false | false | import tensorflow as tf
from functools import reduce
from tensorflow.contrib.layers.python.layers import initializers
def conv2d(x,
output_dim,
kernel_size,
stride,
weights_initializer=tf.contrib.layers.xavier_initializer(),
biases_initializer=tf.zeros_initializer... | UTF-8 | Python | false | false | 2,319 | py | 8 | layers.py | 7 | 0.624838 | 0.611902 | 0 | 66 | 34.136364 | 84 |
ArkadiyLin/Protective-Groups-Reactivity | 8,297,876,839,299 | d3a0ad1431d75378c252563ff35846353ee2558a | 1317c0d8a5f7cd6a9ef5b0375a37c95fe36c0983 | /Smiles_read.py | e97cd00ca1cbfd2ca2f44c0005af8f4d4fef6a4c | [] | no_license | https://github.com/ArkadiyLin/Protective-Groups-Reactivity | 7ea1ec4d47d5f70b570ff79dd403122d7fe2cdda | 1b322c71002f0ceda3c24fba8e3fe0ceee45fa1e | refs/heads/master | 2020-12-24T17:54:51.645122 | 2015-09-04T07:28:03 | 2015-09-04T07:28:03 | 41,902,481 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | __author__ = 'arkadii'
import subprocess as sp
def smiles_read(folder, way_smiles_reaction):
f = open(folder + way_smiles_reaction)
SMR = f.readlines()
f.close()
SMILES = []
SMILES_reaction = []
for i in range(len(SMR)):
SMILES.append(SMR[i].split('>>')[0].strip())
out = open(folde... | UTF-8 | Python | false | false | 763 | py | 24 | Smiles_read.py | 23 | 0.585845 | 0.581913 | 0 | 21 | 35.380952 | 110 |
Divi76h/python_first_project | 13,185,549,601,876 | d5988c79dce1d3bb0682a6259101ff119df11558 | 5d99edf0932308b4a87f765e2c9a0797eb721d0a | /gorgiassprial.py | 109cd8be16d0822df4b119882fba551ba0016491 | [] | no_license | https://github.com/Divi76h/python_first_project | 8f141c4bdd8342176e32aa10216cc2c9eb1c57b7 | cf86fd29c06c9b222cfbf5b1898c6df3e0c4ca77 | refs/heads/master | 2021-06-30T22:12:06.370800 | 2020-11-21T11:13:02 | 2020-11-21T11:13:02 | 189,379,998 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import turtle
import math
import random
import time
wn = turtle.Screen()
wn.bgcolor('black')
Albert = turtle.Turtle()
Albert.speed(0)
Albert.color('white')
rotate = int(360)
def drawCircles(t, size):
for i in range(10):
t.circle(size)
size = size-4
def drawSpecial(t, size, repeat):
for i in ... | UTF-8 | Python | false | false | 1,718 | py | 81 | gorgiassprial.py | 79 | 0.623981 | 0.583236 | 0 | 101 | 16.009901 | 33 |
ipums/mendeley-python-sdk | 2,791,728,753,841 | c752ac7f7ca5fb161ff5f6b238e08267489d9e23 | 2de5fd54fbf82ce012c6496b1495412b06b8516b | /setup.py | 9a2db7617881bfb794df2853e80d5ebed8d517cb | [
"Apache-2.0"
] | permissive | https://github.com/ipums/mendeley-python-sdk | 0bc69ab7182ca82645397b067beaef647b40f31a | 0df41fbdafd164d27c42a101f2ed0bba91f3bdfb | refs/heads/master | 2022-12-18T01:12:25.000719 | 2022-12-09T20:19:50 | 2022-12-09T20:19:50 | 94,386,874 | 1 | 1 | Apache-2.0 | true | 2022-12-09T20:19:57 | 2017-06-15T01:25:11 | 2022-11-08T23:45:53 | 2022-12-09T20:19:50 | 445 | 1 | 1 | 0 | Python | false | false | from setuptools import setup
__version__ = None
with open('mendeley/version.py') as f:
exec(f.read())
setup(
name='mendeley',
version=__version__,
packages=['mendeley', 'mendeley.models', 'mendeley.resources'],
url='http://dev.mendeley.com',
license='Apache',
author='Mendeley',
author_... | UTF-8 | Python | false | false | 1,150 | py | 88 | setup.py | 80 | 0.573043 | 0.547826 | 0 | 42 | 26.380952 | 70 |
kaust-cs249-2020/reem-alghamdi | 3,770,981,292,220 | b8e184c15c08097ae6b83d70bfcd3dad9b311e37 | 3a6790f8945f64653b7afb31c6df8bdc05f0966c | /ch5/code/ch5_14.py | 29ecc24fc185b26e95542b594a2b6b7187962ceb | [] | no_license | https://github.com/kaust-cs249-2020/reem-alghamdi | bef6dc5f93d24a6541b7182dd6b98c6d2764d6b2 | ebcb329ab86d58fca734e3cb675af4bc4d7b1fbd | refs/heads/master | 2023-02-05T22:50:18.264405 | 2020-12-24T09:18:48 | 2020-12-24T09:18:48 | 291,866,793 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | """
@BY: Reem Alghamdi
@DATE: 15-10-2020
"""
import numpy as np
def multiple_longest_common_subsequence(v, w, u, sigma=0, scoring_matrix=None, matches=1, mismatches=0):
len_v = len(v)
len_w = len(w)
len_u = len(u)
s = np.zeros((len_v + 1, len_w + 1, len_u + 1), dtype=int)
backtrack = np.zeros((le... | UTF-8 | Python | false | false | 2,712 | py | 121 | ch5_14.py | 91 | 0.425147 | 0.398599 | 0 | 83 | 31.674699 | 154 |
MB-Huang/FIRA-marathon-arrow | 1,821,066,151,837 | 68988e3fc4e418e1a5473e419f237f6f6c6d135f | c9aa0df66677936df592cf75659ece4740c3d448 | /arrow_predict.py | 6b750370507cf4e5a849346847b0d6d642fcabde | [] | no_license | https://github.com/MB-Huang/FIRA-marathon-arrow | 8c6639ce1b61c70133616faa7b2132a4f3e09eac | cd6c03e22f1d7dd3205d83602e8ec1c0cd62aa54 | refs/heads/master | 2020-07-12T03:42:20.182140 | 2019-08-27T13:36:14 | 2019-08-27T13:36:14 | 204,709,181 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import cv2
import sys
import os
# from PIL import Image
# from PIL import ImageFont
# from PIL import ImageDraw
import os
import csv
import h5py
import numpy as np
import keras
np.random.seed(1337) # for reproducibility
#from keras.datasets import mnist
from keras.utils import np_utils
from keras.models import Sequent... | UTF-8 | Python | false | false | 3,217 | py | 6 | arrow_predict.py | 6 | 0.646876 | 0.587504 | 0 | 119 | 26.033613 | 147 |
kusoof/wprof | 18,769,007,107,959 | 1a95d2c01f20a1007fec1b368d776f81a16163c8 | 8adec48dfaee1cdfd6c7f4d2fb3038aa1c17bda6 | /WProf/build/masters/master.client.dart/.svn/text-base/slaves.cfg.svn-base | ac8f692ed6e07023bb640605177b99a49647b519 | [] | no_license | https://github.com/kusoof/wprof | ef507cfa92b3fd0f664d0eefef7fc7d6cd69481e | 8511e9d4339d3d6fad5e14ad7fff73dfbd96beb8 | refs/heads/master | 2021-01-11T00:52:51.152225 | 2016-12-10T23:51:14 | 2016-12-10T23:51:14 | 70,486,057 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- python -*-
# ex: set syntax=python:
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# See master.experimental/slaves.cfg for documentation.
slaves = [
# MAC
{
'master': 'Dart',
'bu... | UTF-8 | Python | false | false | 6,490 | 687 | slaves.cfg.svn-base | 346 | 0.462096 | 0.415562 | 0 | 331 | 18.607251 | 72 | |
sig49san/kyopro | 8,881,992,391,542 | b3d558f7563d1e0b0cad2fe1451d549a4fe75760 | b98d8899e99696247f2742302eb2501fe5f6a33d | /forWaterBlue/H.py | a1d1c018aa4bfb34b73fca1f7ab55c4052c43dfe | [] | no_license | https://github.com/sig49san/kyopro | bbc36dd082897e48ab5ab9d0854e28d13eb6c6f8 | ea49864b055d3ab996d3841392d5d8c6b1532075 | refs/heads/main | 2023-03-03T06:16:58.597057 | 2021-02-16T12:40:27 | 2021-02-16T12:40:27 | 339,395,608 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from collections import deque
N,M,K = list(map(int, input().split()))
As = list(map(int, input().split()))
Bs = list(map(int, input().split()))
Asdq = deque(As)
Bsdq = deque(Bs)
Asdq.append(10**10)
Bsdq.append(10**10)
#print(Asdq)
#print(Bsdq)
ans = 0
time = 0
A = Asdq.popleft()
B = Bsdq.popleft()
while True:
# ... | UTF-8 | Python | false | false | 636 | py | 79 | H.py | 74 | 0.492138 | 0.462264 | 0 | 42 | 14.119048 | 40 |
sonyjagatap/MedhaTraining | 10,299,331,597,771 | 7ffc17b8ef2a798b53b4be51ed6b1dfb02b44bbb | ce8616ced58327a0f572a265d46ada5489939e56 | /shoba/pythonscripts/openbrowser.py | ccff5666e95f561e8e72fc855b6b5d2ba0a99259 | [] | no_license | https://github.com/sonyjagatap/MedhaTraining | 503a2f47dac8a71607724e9c1c20258d3921446d | 4e13a14f3d5463365ad03f1dcc5c5f74a4223539 | refs/heads/master | 2020-12-30T18:03:39.371072 | 2015-09-30T06:41:48 | 2015-09-30T06:41:48 | 28,310,297 | 0 | 0 | null | true | 2014-12-21T19:41:36 | 2014-12-21T19:26:29 | 2014-12-21T19:26:29 | 2014-12-21T19:41:36 | 2,054 | 0 | 0 | 0 | Python | null | null | import selenium
from selenium import webdriver
br=webdriver.Firefox()
br.get("https://google.com")
| UTF-8 | Python | false | false | 100 | py | 135 | openbrowser.py | 110 | 0.78 | 0.78 | 0 | 5 | 19 | 30 |
vassilux/ramses_proxy | 17,678,085,392,874 | c05518a42ac26b6ab804a33c3f9bb69a0776fea3 | 2e72926c888730d69d06c289b97b63d529c68819 | /tests/scripts/twistedUdpClient.py | b304918d5fbf971b5d008b0a1be057971d1d04bf | [] | no_license | https://github.com/vassilux/ramses_proxy | eee9076974a5ef17ccaf72a182ce8c0e1c67e33c | 6cfc9781d0e0cfdd4036c31c7e9c3a7e7d2d302c | refs/heads/master | 2020-05-17T10:49:52.456223 | 2014-09-09T09:19:32 | 2014-09-09T09:19:32 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #
# Emulator for proxy laod test
#
#
from twisted.internet.protocol import DatagramProtocol
from twisted.internet import reactor
from twisted.python import log
from twisted.internet.task import LoopingCall
import sys
from datetime import datetime
import os
import string
import random
host = "192.168.1.3"
port = 2036
m... | UTF-8 | Python | false | false | 1,409 | py | 44 | twistedUdpClient.py | 27 | 0.701916 | 0.688432 | 0 | 53 | 25.566038 | 71 |
ShivaPariyar/exc | 6,940,667,185,512 | f2e47505158fa80a0de799d0a6e9999becc43bc6 | a4eee56e749520e44c0adfc5fcda087699c09e06 | /Pycharm Sample Project/check/Random.py | 0f86fac30de7594b30df8ba75a6b19526f4a31ad | [] | no_license | https://github.com/ShivaPariyar/exc | e5e681be95f52e77845d8864793361d092f66224 | 7d232d50fdac2a2ba6d93541609eb485ef7a4aa7 | refs/heads/master | 2022-11-20T21:37:03.784189 | 2020-07-27T17:04:51 | 2020-07-27T17:04:51 | 282,962,445 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | a_list = ["hero", "alian", "plane", "sky"]
dict = {}
def remove_duplicates(a_list):
for list in a_list:
for i in list:
if i == [a-zA-Z]:
print( remove_duplicates(a_list)) | UTF-8 | Python | false | false | 200 | py | 10 | Random.py | 10 | 0.535 | 0.535 | 0 | 9 | 21.333333 | 42 |
zhankq/pythonlearn | 10,110,353,052,485 | 961f467808dcf7cbf724dd7c18e725a0f21505c6 | b4afd14e3b4e9cff0a99906a69587e348b243aeb | /Hello.py | 18ce3c6be3d1da446440085a229bc58c2b18396c | [] | no_license | https://github.com/zhankq/pythonlearn | d694df23826cda6ba662e852e531e96a10ab2092 | cb714fbb8257193029f958e73e0f9bd6a68d77f1 | refs/heads/master | 2021-12-16T13:51:23.381206 | 2021-12-03T01:13:36 | 2021-12-03T01:13:36 | 205,632,135 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import requests
import json
import time
import urllib3
urllib3.disable_warnings()
def ios12_get_rank(keyword,appid):
st = time.time()
cookies = {
'wosid-lite': 'udbGWDV4NWTsCS8xPuGVcg',
'pldfltcid': '37d90499766645efaeffab0e31f26247055',
'ndcd': 'wc1.1.w-855182.1.2.YYTq2gydU37Bp1LD-JCstg... | UTF-8 | Python | false | false | 5,172 | py | 381 | Hello.py | 319 | 0.720303 | 0.62927 | 0 | 95 | 53.231579 | 515 |
willwng/QTClock | 2,422,361,603,063 | 67e60fb5776407b2a156df6300d78e7bb9012ff2 | 8b910815483e77b9289e38c5367883bd41d0c7da | /Old Versions/Clock.py | 2077471c59712fcff52ada0af445bf372b397cc4 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | https://github.com/willwng/QTClock | 46482871c0ae93f8319166f94fc2d51fa804d229 | dba3862c38b7c91f20efc075f5294981ceb6aa87 | refs/heads/master | 2022-06-25T06:08:16.737805 | 2017-04-10T23:42:09 | 2017-04-10T23:42:09 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | ##Plotting with Turtle##
from turtle import *
import turtle
import random
import numpy
import math
from math import pi
import numpy as np
import csv
from datetime import datetime
import matplotlib.pyplot as plt
import os
import Tkinter
from Tkinter import *
from Tkinter import Tk
from tkFileDialog import askopenfilenam... | UTF-8 | Python | false | false | 7,476 | py | 10 | Clock.py | 4 | 0.607678 | 0.573569 | 0 | 239 | 30.280335 | 103 |
KissBalazs/dipterv | 1,949,915,153,838 | e1cd2bdcca44c38e43da7f2ff55053217fe34aeb | 58aafe46b67bee59b078adffbec49915f9fdb0e9 | /LabelerApp/editor/topicmodeller/topicmodellerServices.py | 9ba5815c5fd1d54788fb192bc9f0e5e4ec01f8e4 | [] | no_license | https://github.com/KissBalazs/dipterv | 3cc410d7678378e9c94394692bf438bfa064b3e7 | ba88bb1099f4ac3ef9fd186d72029c1a24dbcde1 | refs/heads/master | 2021-01-19T13:27:10.793596 | 2017-05-12T06:59:14 | 2017-05-12T06:59:14 | 82,391,198 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'forestg'
from gensim import corpora, models, similarities
import os.path
import pickle
import sys
# logging bekapcsolása:
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
def yieldLabels(article,label):
stopwordlist =... | UTF-8 | Python | false | false | 6,564 | py | 93 | topicmodellerServices.py | 25 | 0.68061 | 0.675789 | 0 | 142 | 44.28169 | 123 |
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