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values | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 18.2k 668M ⌀ | star_events_count int64 0 102k | fork_events_count int64 0 38.2k | gha_license_id stringclasses 17
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values | src_encoding stringclasses 20
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classes | length_bytes int64 4 6.02M | extension stringclasses 78
values | content stringlengths 2 6.02M | authors listlengths 1 1 | author stringlengths 0 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8e568cef4ff7a3c2ea02171de032c587fa1c42e7 | e2271fa026cdfb5aaf145970e1d9252b8c2dd001 | /atcoder.jp/abc178/abc178_c/Main.py | 4dae8aa7e22ee6d31f247f4df27595077e5df5f9 | [] | no_license | tsuchan19991218/atcoder_achievement | 802daaae640d5157f1bd55cc5d6ef08546fc4ca2 | 15502aba97dada1809deed05ea6c349122578a01 | refs/heads/master | 2023-06-11T11:52:11.896838 | 2021-07-02T20:44:40 | 2021-07-02T20:44:40 | 290,015,565 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 326 | py | n = int(input())
ans_max = 1
for i in range(n):
ans_max = ans_max * 10 % 1000000007
ans_mid = 1
for i in range(n):
ans_mid = ans_mid * 9 % 1000000007
ans_mid = ans_mid * 2 % 1000000007
ans_min = 1
for i in range(n):
ans_min = ans_min * 8 % 1000000007
ans = (ans_max - (ans_mid - ans_min)) % 1000000007
prin... | [
"ylwrvr.t.koga+git@gmail.com"
] | ylwrvr.t.koga+git@gmail.com |
bceb5d5fd70239529410c669bae6ea96ca0148fd | dbaec1262c8966d66512cadd343249786a8c266d | /tests/test_scraper.py | 1d196eeb7ad9cd52a2a34f6599ba263fbe8d42da | [] | no_license | andreqi/django-manolo | 96e50021a843cff1c223692853993c5dbb685acd | 01552875a47c4da90c89db6f0b9c05a269fa07ca | refs/heads/master | 2020-04-01T18:00:59.213208 | 2014-11-20T21:28:04 | 2014-11-20T21:28:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,654 | py | # -*- coding: utf-8 -*-
"""
test_django-manolo
------------
Tests for `django-manolo` models module.
"""
import datetime
from datetime import timedelta as td
import unittest
import dataset
import sqlalchemy
from django.conf import settings
from manolo.models import Manolo
from manolo.management.commands.scraper im... | [
"aniversarioperu1@gmail.com"
] | aniversarioperu1@gmail.com |
15eb534642b2dbaf5eb98339e0cd15a18f7b59d6 | 4c228cca5bfdf3bd34dab2bedd7350ff501230b3 | /tools/ex_network.py | daaafecdccaa5dfaf16ca6adbc450de5273af72f | [] | no_license | gauenk/xi_uai18 | 3575b4b6db3393f4bc6a640a6b3c607a2d6bca6f | c24040f43e3d8779b7c2fff88f8ab787cf22c385 | refs/heads/master | 2022-02-24T04:29:14.037754 | 2020-04-04T16:57:17 | 2020-04-04T16:57:17 | 234,967,333 | 0 | 0 | null | 2021-03-29T23:13:54 | 2020-01-19T21:05:51 | Python | UTF-8 | Python | false | false | 2,877 | py | import plotly.graph_objects as go
import networkx as nx
def plot_network(G):
#
# plot the edges
#
edge_x = []
edge_y = []
for edge in G.edges():
x0, y0 = G.nodes[edge[0]]['pos']
x1, y1 = G.nodes[edge[1]]['pos']
edge_x.append(x0)
edge_x.append(x1)
edge_x... | [
"kent.gauen@gmail.com"
] | kent.gauen@gmail.com |
160d7d9d48b6a414a9ecd73aba6f83be96999fd9 | 93fbde41d85a69b2f964a7945fd1a4df0bc0a836 | /hello.py | 16eb3c09053e619d2b890734dd37ba0680aeb854 | [
"MIT"
] | permissive | cwp9fq/cs3240-labdemo | 01b9b05e4487c6ad21d1c017acfcd74119553f05 | e3b7c21f3ced5ec907c749752dd0f23c37c02caf | refs/heads/master | 2021-01-18T21:22:13.588941 | 2015-02-16T19:57:17 | 2015-02-16T19:57:17 | 30,884,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | __author__ = 'Cameron Peters'
print("hello") | [
"cwp9fq@virginia.edu"
] | cwp9fq@virginia.edu |
64d5e06ad1a58f2d209bdbe9eafa0fa0247f8fd4 | 65bdb5b22b98e04c439b6a00761f48802bf1f03e | /for_loop.py | 94972872b01be9e70aa07397d24ca456e31c1430 | [] | no_license | sourav03561/GitLearning | 158fd57bab16d700016778f5c80ac0cc2df9218f | 31cfb33585a7d2fd0ecc0f8adb921cd97902eaaf | refs/heads/master | 2022-11-11T14:11:39.490706 | 2020-06-22T08:17:59 | 2020-06-22T08:17:59 | 274,072,260 | 0 | 0 | null | 2020-06-22T08:02:37 | 2020-06-22T07:43:36 | Python | UTF-8 | Python | false | false | 66 | py | for i in range(10)
print('yahoo')
print('done with for loop') | [
"cmbubai03561@gmail.com"
] | cmbubai03561@gmail.com |
410b0d4c2ba2e579c33b1c115448ef5426cd3d43 | deb41063447ace96175948ab088aea75c601a1a4 | /coremltools/converters/mil/mil/ops/tests/test_const.py | 44610cfbb670686463b81ed98c4743128d33cd6e | [
"BSD-3-Clause"
] | permissive | flrngel/coremltools | d3812e6a2358c9a6d61a79d1576df42417e0828c | 8b3500eb55c7d06f0cd825c33042b63279de30ce | refs/heads/main | 2023-06-17T05:30:01.259581 | 2021-07-13T03:21:41 | 2021-07-13T03:22:34 | 384,216,428 | 1 | 0 | BSD-3-Clause | 2021-07-08T18:32:06 | 2021-07-08T18:32:06 | null | UTF-8 | Python | false | false | 2,053 | py | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
from coremltools.converters.mil import testing_reqs
from coremltools.converters.mil.testing_reqs impo... | [
"noreply@github.com"
] | noreply@github.com |
985a61e35a1166affcae13bcd6cc900782271bde | 9825db945e7bfe68319b086e9fb7091a63645d5c | /transcribe/mommy_recipes.py | 69965c1794946191d35991093b0493aa8e916c17 | [] | no_license | lupyanlab/telephone | e1ee095d5698dc228deec5ba5878a46b76d43f2d | 136f27fb2b41263f53fba6bd44711cf57598a1a4 | refs/heads/master | 2020-04-12T07:33:05.849287 | 2017-04-04T01:16:14 | 2017-04-04T01:16:14 | 41,316,823 | 1 | 1 | null | 2015-11-17T04:44:40 | 2015-08-24T17:20:23 | Python | UTF-8 | Python | false | false | 1,059 | py | from unipath import Path
from django.conf import settings
from django.core.files import File
from model_mommy.recipe import Recipe, foreign_key, related
import grunt.models as grunt_models
import ratings.models as ratings_models
import transcribe.models as transcribe_models
django_file_path = Path(settings.APP_DIR... | [
"pierce.edmiston@gmail.com"
] | pierce.edmiston@gmail.com |
bb5bf27549da60b54e5a034ea948dda8c9c4d2d6 | eba05d8b5f45c109b68c5d19f7658fe62f9083ec | /client/verta/tests/test_entities.py | 839a00dcf025688f0b5b507482ed6082c33d058e | [
"Apache-2.0"
] | permissive | fagan2888/modeldb | 4b47d5ded2024ae1f61fda6d2980f8228e3937a5 | 7182cb9432eeb10b84abc89f925106abf5c43d21 | refs/heads/master | 2023-01-15T01:01:42.090856 | 2020-11-21T01:49:54 | 2020-11-21T01:49:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,592 | py | import six
import itertools
import os
import shutil
import requests
import pytest
from verta._registry import RegisteredModels
from verta._tracking.deployable_entity import _CACHE_DIR
from . import utils
import verta
import verta._internal_utils._utils
import json
from verta.external.six.moves.urllib.parse import... | [
"noreply@github.com"
] | noreply@github.com |
e10f712169e012afe52d661cee1079d73d473cf5 | a4deea660ea0616f3b5ee0b8bded03373c5bbfa2 | /executale_binaries/register-variants/vpblendvb_xmm_xmm_xmm_xmm.gen.vex.py | 24114f1b5661dc25199fcafb0f1753e89bd770d4 | [] | no_license | Vsevolod-Livinskij/x86-64-instruction-summary | 4a43472e26f0e4ec130be9a82f7e3f3c1361ccfd | c276edab1b19e3929efb3ebe7514489f66087764 | refs/heads/master | 2022-02-02T18:11:07.818345 | 2019-01-25T17:19:21 | 2019-01-25T17:19:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | import angr
proj = angr.Project('vpblendvb_xmm_xmm_xmm_xmm.exe')
print proj.arch
print proj.entry
print proj.filename
irsb = proj.factory.block(proj.entry).vex
irsb.pp() | [
"sdasgup3@illinois.edu"
] | sdasgup3@illinois.edu |
4dd821a81a1d423a6da9d639e298646c725eca01 | 8a3dfe493abbddf222cc98efc61ba6b9917f1601 | /blender_implementations/flow_aggregation/flow_aggregation.py | d6d03a92fbeecf408f600485adca147117fe8eab | [] | no_license | lorentzo/Growth_models | fa95f80547a545374ab0fb738c5fddff9d5b4d19 | fbc4cab2fd4d5cdeade2492407a80fdc5d585a51 | refs/heads/master | 2020-04-28T22:41:07.006889 | 2019-07-04T11:20:33 | 2019-07-04T11:20:33 | 175,626,424 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,057 | py |
#
# This source file is part of Growth_models.
# Visit https://github.com/lorentzo/Growth_models for more information.
#
# This software is released under MIT licence.
#
# Copyright (c) Lovro Bosnar
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated docum... | [
"lovro.bosnar1@gmail.com"
] | lovro.bosnar1@gmail.com |
62b1a67e47cc7c72d8dad45edd8e4105d1937e55 | c081330ffd5cefc00191685f7753b116620fa898 | /Gallery3D/Box.py | 41798addaa7d58a592802be983367c34e27ac709 | [] | no_license | yuki67/Figure | c660ce6cbccd611615df54c96ca6411343cb1ce8 | 78ab63ce518f99340d290c27de50f53b92561318 | refs/heads/master | 2021-01-22T05:20:28.531749 | 2017-05-10T13:09:15 | 2017-05-10T13:09:15 | 81,650,064 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 119 | py | from Figure3D import point_3d, Box
a = point_3d(-10.0, -10.0, 10.0)
b = point_3d(10.0, 10.0, 15.0)
figure = Box(a, b)
| [
"123syokutaku@gmail.com"
] | 123syokutaku@gmail.com |
9f19d3c5fcbc1f51d9dacb5e5af1b29b1945cd46 | bbe2634c490964e3749cd4acaa825f69892d4e4e | /process.py | f3151ee13045d6cd28abc1626bd2a49b26dd3809 | [] | no_license | shailesh001/DeepLearningTests | f40eb9a4390f5408d4c2d1d65ddc84686fedc710 | 3c061df6a395960c4cc12d696f7af0d056e722df | refs/heads/master | 2021-01-24T17:02:56.370083 | 2017-03-10T16:35:19 | 2017-03-10T16:35:19 | 81,821,187 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,104 | py | import numpy as np
import pandas as pd
def get_data():
df = pd.read_csv('ecommerce_data.csv')
data = df.as_matrix()
print(data)
X = data[:, :-1] # Every thing but the Last column
Y = data[:, -1] # Last column only
print(X)
print(Y)
# 0 based index. Set Column 2 and 3
X[:, 1] =... | [
"shailesh001@mac.com"
] | shailesh001@mac.com |
25a5ae8f34319e5428b6334c8d864c2d599441d7 | 6836433498d3ab4a5c3259e74ccb6a5e311d89ee | /ARCHIVE/Nishant/Nishant_coord_mapping/coord_read.py | 6fd0c95dc45dd8227c7ff635f0720e4125e2a213 | [] | no_license | stephmarky/3300-p1 | 2ad1e38dcc7c2aecab12f225c87f91db304b6257 | 5027e8b3eab4cddc6b6965971e4a131b429350bb | refs/heads/master | 2021-04-29T18:39:20.336312 | 2018-06-14T01:00:57 | 2018-06-14T01:00:57 | 121,697,077 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,737 | py | import csv
import random
final_array = []
coordinate_array = []
randarray = []
with open('country_center_coordinates.csv', 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',')
for row in spamreader:
coordinate = []
coord = row[1]
coord = coord.split(',')
coord[0] = coord[... | [
"ng352@cornell.edu"
] | ng352@cornell.edu |
b4ec9a7097d8d6e2db9d55de85ff23e2c3508cc0 | 7bc79430d2eebe3331e5b0ea9d78eee23506a95a | /sac/models.py | 2633abf4f1ada389941d2dd0bba85e8ae535a7cf | [] | no_license | IwanBurcev/rl_experiments | f0c7fa41b44d72aff10d862682adb92dad525491 | 66155195595fca5f3698d0f35c51a02133218fcf | refs/heads/main | 2023-01-24T23:50:07.442931 | 2020-12-02T11:10:47 | 2020-12-02T11:10:47 | 316,952,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,144 | py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Normal
use_cuda = torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")
class ModelsOverseer():
def __init__(self, state_dim, hidden_dim, acti... | [
"iwanburcev@yandex.ru"
] | iwanburcev@yandex.ru |
83428b6418ce8e4237ff44919b4a35afb15468e5 | c45f5b2283866ca12bf9090dd53bdc3b2f53724c | /python3/doit/string2.py | 17ae1d2c3449b71cb059ff59662e7392ec153def | [] | no_license | YounSik89/python | 50f826dbb365516ba9c754a40fe356cb4f465388 | 6b331bf2cb570d41160f7753885f7d86bb007e3a | refs/heads/master | 2021-08-29T16:21:20.560963 | 2017-12-14T09:33:27 | 2017-12-14T09:33:27 | 114,213,846 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 606 | py | a = "Younsik is a student, he is a programmer"
print(a[3]) # 앞에서 4번째 문자
print(a[0]) # 가장 첫 문자 = 앞에서 첫번째 문자.
print(a[-1]) # 가장 마지막 문자 = 뒤에서 첫번째 문자
print(a[-2]) # 뒤에서 두번째 문자
b = a[0]+a[1]+a[2]+a[3]
print(b)
c = a[0:4] #맨 마지막 4는 안들어간다.
print(c)
d = a[7:14]
print(d)
e = a[10:]
print(e)
b = a[:15]
print(b)
print(a[:])
pri... | [
"younsik89c@gmail.com"
] | younsik89c@gmail.com |
535dfe56603f221ea285f2a1714ed7358865a71e | d7a0ecb277e42340bd0ce269f25e5ebd24d1d6d8 | /Python/Les 5/3. If else.py | 19d95cdceb78e91de02b19daf306d2d4ff67e01c | [] | no_license | diooo1231/programming1 | e327c8054ff31d14a184d6879a3b009e2e897dc0 | d7f241375c6131306287e8ae4ce6fa2111e524ce | refs/heads/master | 2020-03-28T01:31:23.916339 | 2018-11-06T23:13:32 | 2018-11-06T23:13:32 | 147,511,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 226 | py | leeftijd = input("Geef je leeftijd: ")
paspoort = input("Nederlands paspoort: (ja/nee) ")
if int(leeftijd) >= 18 and paspoort == "ja":
print("Gefeliciteerd, je mag stemmen!")
else:
print("Helaas, je mag niet stemmen.") | [
"dio.snel@student.hu.nl"
] | dio.snel@student.hu.nl |
1a2624a3c3bc10919d6a6c4abd705d1cc12b5ca3 | 80cdc0bc432827479a437fd37f9bef216b5b8500 | /postgres_kernel/commands.py | bdc0dfb55a35f356e69f0f5d652e75bdc38a7d20 | [] | no_license | mreithub/postgres_kernel | d4b99036fbd3477f9b8454b665e16b3a9fc5a636 | 551b0b5f94fa28fa4fa03a900e065adb535963f8 | refs/heads/master | 2021-01-10T06:15:00.565197 | 2016-04-04T14:11:45 | 2016-04-04T14:11:45 | 54,680,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,776 | py | import itertools
def _getHtmlCheckConstraints(kernel, tblName):
# check constraints
rows = list(kernel.yieldQuery('''
SELECT r.conname, pg_catalog.pg_get_constraintdef(r.oid, true)
FROM pg_catalog.pg_constraint r
WHERE r.conrelid = %s::regclass AND r.contype = 'c'
ORDER BY 1;''', (tblName,)))
if len(rows) > 0:
yi... | [
"git@manuel.reithuber.net"
] | git@manuel.reithuber.net |
481cc0ed3a68956681f31a999d32922fb66e12af | 02b10de4dca09b516600540ce718d951a3b6781b | /main.py | 1157aba07b6429d243d30fca0283dbeadd31801e | [] | no_license | maloyan/Algebra | 378729a570b37a85bd143e65b9bebbcd727447cb | 6d4e9a6d1e67d93f763677399e8ac9c52a4d3dd4 | refs/heads/master | 2021-04-25T04:15:46.066862 | 2017-12-30T19:05:31 | 2017-12-30T19:05:31 | 115,112,443 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | import numpy as np
import bch
import gf
def main():
print(gen_pow_matrix(7))
#print(euclid(np.array([2, 3, 6]), np.array([1, 0, 1]), gen_pow_matrix(19), 0))
#(array([13]), array([13, 12]), array([15, 7]))
if __name__ == "__main__":
main()
| [
"maloyan@ispras.ru"
] | maloyan@ispras.ru |
9515eeb1cee4807edd450367209ff62ce30c779c | 16ef3f6acfc1fbadcd8019b5152ec2da3910c5f3 | /src/ututi/migration/008_add_deleted_columns_for_content_items.py | 93cec7035f0aff1abf76bf51cb58d794128bb47a | [] | no_license | Ututi/ututi | 19bf1e3c5afb8ac783775bc8107e5089c48654b6 | e1f55f155761d7b350893fc0badb70c9c51c4b2f | refs/heads/master | 2021-05-27T21:01:04.444713 | 2013-01-04T12:27:22 | 2013-01-04T12:27:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 446 | py | import pkg_resources
def upgrade(engine):
connection = engine.connect()
statements = pkg_resources.resource_string('ututi.migration', '008_add_deleted_columns_for_content_items.sql')
connection.execute(statements)
def downgrade(engine):
connection = engine.connect()
statements = pkg_resources.res... | [
"ignas.mikalajunas@gmail.com"
] | ignas.mikalajunas@gmail.com |
2627bc5bee346deeab204fa6ec44e5c9cc13abfc | 8b9e9de996cedd31561c14238fe655c202692c39 | /hackerrank/hackerrank_AntiPalindromic_Strings.py | e118373c79db90167cc964fa3d7cbc28599314dd | [] | no_license | monkeylyf/interviewjam | 0049bc1d79e6ae88ca6d746b05d07b9e65bc9983 | 33c623f226981942780751554f0593f2c71cf458 | refs/heads/master | 2021-07-20T18:25:37.537856 | 2021-02-19T03:26:16 | 2021-02-19T03:26:16 | 6,741,986 | 59 | 31 | null | null | null | null | UTF-8 | Python | false | false | 1,030 | py | """hackerrank_AntiPalindromic_Strings.py
https://www.hackerrank.com/contests/101hack19/challenges/antipalindromic-strings
"""
def main():
"""if n == 1, then there is m antipalindromic string.
if n == 2, then there is m * (m - 1) antipalindromic string
if n >= 3, then there is m * (m - 1) * (m - 1)...
... | [
"laituan1986@gmail.com"
] | laituan1986@gmail.com |
a4b3a0761970ff05e0eeef42367686402f942201 | 46a5338c5979c54e335af3d5a0523d5325845a0d | /python/fishsey/paper/paper1/slopeone_userBased_test_tp.py | 17a46d1086bdc86be2df08826d443e026b814de5 | [] | no_license | fishsey/code | 658284367b8435fa233a473341b90d746330a873 | b4275042e18ee02eb29ee285df7dce6d4d31a0c4 | refs/heads/master | 2021-07-11T18:57:11.052981 | 2017-10-06T11:15:35 | 2017-10-06T11:15:35 | 105,975,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,305 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 06 10:17:13 2016
@author: fishsey
"""
def topKUser(u, i):
global maxlen, minSim, userSimArrayObj, trainArrayObj
rowNum = trainArrayObj.shape[0]
ls = []
temp = []
#遍历每个用户
for otherUser in range(rowNum):
if trainArrayObj[otherUser, i]... | [
"ally1984aikx@gmail.com"
] | ally1984aikx@gmail.com |
fd9051b479df526f24d4937d65fc91e13c2b0021 | 837fcd0d7e40de15f52c73054709bd40264273d2 | /More_exercise-master/Repeated_element_list.py | db01da889fb9c8d678166fab52513a0e563108a2 | [] | no_license | NEHAISRANI/Python_Programs | dee9e05ac174a4fd4dd3ae5e96079e10205e18f9 | aa108a56a0b357ca43129e59377ac35609919667 | refs/heads/master | 2020-11-25T07:20:00.484973 | 2020-03-08T12:17:39 | 2020-03-08T12:17:39 | 228,554,399 | 0 | 1 | null | 2020-10-01T06:41:20 | 2019-12-17T07:04:31 | Python | UTF-8 | Python | false | false | 477 | py | list1 = [1, 342, 75, 23, 98]
list2 = [75, 23, 98, 12, 78, 10, 1]
index=0
new=[]
while index<len(list1):
if list1[index] in list2:
new.append(list1[index])
index=index+1
new.sort()
print new
#"-------------------"
# without in operator
index=0
new=[]
while index<len(list1):
var1=0
... | [
"nehai18@navgurukul.org"
] | nehai18@navgurukul.org |
7adbca764e3ddd8a62ada01668aa930b79ee74f6 | 443ad4fc2877031810dedb2390cca4aa646536a4 | /profile_dashboard/views.py | e093f0b788c23234340e343f124edf417c935660 | [] | no_license | ilhanfn/C08 | 0d6f97d215241f3c54f96f71b7f671944e5528fe | 2d023e5d751a486cc6020ad5c96eae34cb009bd0 | refs/heads/main | 2023-08-30T08:22:16.743023 | 2021-11-04T07:18:19 | 2021-11-04T07:18:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 899 | py | from django.shortcuts import redirect, render
from .models import Profile
from .forms import UserUpdateForm, ProfileUpdateForm
from django.contrib.auth.decorators import login_required
@login_required
def profile(request):
if request.method == 'POST':
u_form = UserUpdateForm(request.POST, instance=request.... | [
"visianitawidya@gmail.com"
] | visianitawidya@gmail.com |
0d948fbf2edf9bfd6ca10356cb953a4d41037295 | 2262ccf008ccecc1a263b8bf9954e80337147f1d | /plot_gpx_osm.py | aa55517fae601764aae495aaa8699e417e843dc6 | [] | no_license | AndrQuiroz/plot-gpx-osm | 2e74771afddffa38e4f5065727d81a25d6f293d8 | b587e36351f34eb1172526ac1602f8aba9d2954a | refs/heads/master | 2022-09-09T09:42:33.899091 | 2015-02-20T00:03:15 | 2015-02-20T00:03:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,831 | py | #!/usr/bin/env python
'''
Plot GPX file
create bitmaps from a GPX trace using OpenStreetMap
(c) Olivier Friard 2014
require:
- osm.py
- python-shapely
- gpx_import.py
2014-07-10: added plotting of waypoints GPX
added plot dots option (-d)
2014-04-18: added argument parsing function: gpx_map.py -h
2014-0... | [
"olivier.friard@unito.it"
] | olivier.friard@unito.it |
3b2d656e435c6628f3cd15756996fac6543a69e9 | 6b3793ee6f0109da63e2b040f98d2f9910032661 | /OrderingStringsOfVaryingLengthLexicographically.py | 09fe99c075c8e2454ad30301e968511562bc410e | [] | no_license | louis297/rosalind | 28998252947ab904015f33d431881caaa9c713fb | cabd487e97f2bb68fd4bfa2cedc5e80f662a117e | refs/heads/master | 2021-01-10T07:37:49.960238 | 2016-01-04T21:36:23 | 2016-01-04T21:36:23 | 48,143,470 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,112 | py | f_name = raw_input("Please Input File Name:")
f_in = open(f_name,"r")
s = f_in.read().rstrip()
lt = s.split('\n')
ltt = lt[0].rstrip()
lttt = ltt.split()
ll = [' ']
for i in lttt:
ll.append(i)
n = int(lt[1])
single = []
temp = []
result = []
for i in range(len(ll)):
single.append([ll[i]])
result.append(single)... | [
"xl297@georgetown.edu"
] | xl297@georgetown.edu |
52a051a1f273e344066b4ddedd4c4d3304bced08 | b21525fdcbb9724d51fd4b317c24f218d05144d2 | /FastBridgeApp/data/Latin/cicero_de_provinciis_consularibus.py | ade71b6415b0619a3190b8717db404d9d95ebc33 | [] | no_license | HCDigitalScholarship/FastBridge | 6202da636bcc2b6a6c7efe7b2a6d067510e7fa57 | 9037b0d5dee5da7d93ea53538595883559b07cda | refs/heads/master | 2023-09-02T02:58:47.683943 | 2023-06-06T19:20:09 | 2023-06-06T19:20:09 | 218,993,365 | 1 | 5 | null | 2023-06-06T19:20:10 | 2019-11-01T13:45:05 | Python | UTF-8 | Python | false | false | 261,464 | py | import text
nan=""
section_words = {'start': -1, '1.1': 7, '1.2': 16, '1.3': 23, '1.4': 32, '1.5': 40, '1.6': 48, '1.7': 56, '1.8': 64, '1.9': 72, '1.10': 80, '1.11': 89, '1.12': 97, '1.13': 106, '1.14': 112, '2.1': 115, '2.2': 125, '2.3': 133, '2.4': 142, '2.5': 151, '2.6': 160, '2.7': 169, '2.8': 178, '2.9': 187, '2.... | [
"carter.langen@gmail.com"
] | carter.langen@gmail.com |
f373f7fb41cef8b368430594ebbdee6e8ea6d030 | 30ab9750e6ca334941934d1727c85ad59e6b9c8a | /zentral/contrib/nagios/events/__init__.py | 32a043fbbf1aebc95d5d5f0da9196c0e025d5d16 | [
"Apache-2.0"
] | permissive | ankurvaishley/zentral | 57e7961db65278a0e614975e484927f0391eeadd | a54769f18305c3fc71bae678ed823524aaa8bb06 | refs/heads/main | 2023-05-31T02:56:40.309854 | 2021-07-01T07:51:31 | 2021-07-01T14:15:34 | 382,346,360 | 1 | 0 | Apache-2.0 | 2021-07-02T12:55:47 | 2021-07-02T12:55:47 | null | UTF-8 | Python | false | false | 1,158 | py | import logging
from zentral.core.events import event_cls_from_type, register_event_type
from zentral.core.events.base import BaseEvent
logger = logging.getLogger('zentral.contrib.nagios.events')
ALL_EVENTS_SEARCH_DICT = {"tag": "nagios"}
class NagiosEvent(BaseEvent):
tags = ["nagios"]
class NagiosHostEvent(N... | [
"eric.falconnier@112hz.com"
] | eric.falconnier@112hz.com |
fa23b69c5b3e88b6089bccdcc5b53e24c3dd7df9 | 05ff9c2d32ecd44ed308cf4d2db549a7cac95abc | /2016/2016.10.py | 9344fdefb90ada4de12d10b1d0e20eefa1e1d26d | [] | no_license | boriskashentsev/AdventOfCode | e1a423f654c44b70259921cb281f161fa9d6cdc4 | 508b7a36234ddb4912fb7ca8c60d1b6a07ac67ee | refs/heads/master | 2023-01-12T03:27:00.889805 | 2022-12-05T06:06:45 | 2022-12-05T06:06:45 | 226,345,203 | 0 | 0 | null | 2022-12-05T06:06:12 | 2019-12-06T14:20:06 | Python | UTF-8 | Python | false | false | 1,883 | py | import sys
sys.path.append('./')
from utils.filename import calculateFileName
filename = calculateFileName(sys.argv)
f = open(filename, "r")
input = f.read()
lines = input.split('\n')
comparingValues = [17, 61]
if len(sys.argv) > 1:
comparingValues = [3, 5]
bots = {}
output = {}
instructions = {}
botsWithTwoCh... | [
"boris.kashentsev@gmail.com"
] | boris.kashentsev@gmail.com |
14874d1fcd7fe2d2da7e2966f6726b4912378c09 | ba6921a268198bc0af433622c021533905f5d462 | /airflow/providers/amazon/aws/operators/rds.py | df010261896fd2fd0c7fce7e1fdcbca2572dabba | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | potiuk/airflow | b6447765b1a7b586a3d6c8d7ba9262f6bf68fbfd | ca2f3013bcb123c4b3973a5b85de77094bf2c459 | refs/heads/main | 2023-08-30T13:05:50.698888 | 2023-05-21T21:08:14 | 2023-05-21T21:26:14 | 173,467,275 | 8 | 7 | Apache-2.0 | 2023-05-21T21:58:40 | 2019-03-02T15:50:53 | Python | UTF-8 | Python | false | false | 29,868 | py | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | [
"noreply@github.com"
] | noreply@github.com |
d1caf6aee040ebe1bd1322927c54f2163f35b3c7 | b2e4f2a9d8fabf3f667dfc2141e96af1f342f5b2 | /pyutils/mask-faster-rcnn/lib/layer_utils/proposal_target_layer.py | 69333a4e4ff1f1bffb971a2b27b272d051e29f1f | [
"MIT"
] | permissive | ChopinSharp/MAttNet | ba927d80f15c0b99105540d40809cad2f08d36d4 | 3d82fe08ad5526665d0478aee08c5113d79cc209 | refs/heads/master | 2021-08-08T05:48:01.993261 | 2020-08-11T04:58:12 | 2020-08-11T04:58:12 | 227,971,922 | 1 | 1 | MIT | 2019-12-14T05:35:02 | 2019-12-14T05:35:01 | null | UTF-8 | Python | false | false | 8,775 | py | # --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick, Sean Bell and Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from... | [
"mwb@zju.edu.cn"
] | mwb@zju.edu.cn |
9f4ade293e4deed7bf08590e33fecbb9a8b287d9 | 35b58dedc97622b1973456d907ede6ab86c0d966 | /Test/2020年4月29日/001.py | c8895768d64c6ebb9f086308a28346ccff33c6e5 | [] | no_license | GithubLucasSong/PythonProject | 7bb2bcc8af2de725b2ed9cc5bfedfd64a9a56635 | e3602b4cb8af9391c6dbeaebb845829ffb7ab15f | refs/heads/master | 2022-11-23T05:32:44.622532 | 2020-07-24T08:27:12 | 2020-07-24T08:27:12 | 282,165,132 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 595 | py | # import re
# import json
# sss = '{"testfan-token": "${neeo_001>data>data}$"}'
#
# find = re.findall('\${.*?}\$',sss)
#
# for i in find:
# find = i
# print(find)
#
# print(re.sub(find,'1',sss))
import requests
# response = requests.request(method='get', url='http://www.neeo.cc:6002/pinter/bank/api/query2',params... | [
"1433880147@qq.com"
] | 1433880147@qq.com |
ea6b2d4d03567346555f14b0f328b489162ee17d | 02f2fd8ff4f907eb1916848634c252fb907cce30 | /db_method/push.py | 24d5f9e0a447241af24bebb48b1acb82c595eb59 | [] | no_license | Act-mobile-health/MedicalWeb | 61b1572d5b4a0d3c65e64a09d6743b67a13707d0 | 560a39f9b35babf8e5524eb8e39b1eff4a2ff4a8 | refs/heads/master | 2020-05-25T20:05:43.869842 | 2017-07-13T14:00:42 | 2017-07-13T14:00:42 | 84,962,419 | 4 | 6 | null | 2017-07-20T03:09:28 | 2017-03-14T15:02:52 | HTML | UTF-8 | Python | false | false | 890 | py | # -*- coding:UTF-8 -*-
import jpush
from jpush import common
P_id = "110000000091"
MESSAGE = u"你好!!!"
def a():
TAG = P_id
app_key = "8f1da9d68218066965ad2157"
master_secret = "91d325746680fcd8c7154471"
_jpush = jpush.JPush(app_key, master_secret)
push = _jpush.create_push()
# if you set the log... | [
"zhangyc@TestPC"
] | zhangyc@TestPC |
da6253440114fd11e1f73ef79045bbbb0205b7dd | f8b913d6e20cd08b78941aa0398ab4662f6a4998 | /agenda/core/admin.py | 25e0e7c09ed1c3d944e788fd2e7d812d9e02312b | [] | no_license | gabrieltren/curso-django | 1f8c3f96a497701b8f3c37b373a05ca4af1c1b79 | 3150e7705c7aab1bd1772469f8c561676d332ce4 | refs/heads/master | 2023-04-08T09:03:59.077642 | 2021-04-02T19:15:03 | 2021-04-02T19:15:03 | 353,197,939 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | from django.contrib import admin
from core.models import Evento
# Register your models here.
class EventoAdmin(admin.ModelAdmin):
list_display = ('id','titulo','data_evento','data_criacao')
list_filter = ('titulo',)
admin.site.register(Evento, EventoAdmin) | [
"gabriel.silveira1207@gmail.com"
] | gabriel.silveira1207@gmail.com |
655d835a33331e2fef799e77dcd0b891a8f0eb1e | e3d07719d97ed4f5fc2663a868d6bd6621ca2d06 | /conwaycode.py | e60fa84720c9e805a64966b929845cab3d5d028c | [] | no_license | Xapakas/ConwaysGame | df19bcf18fd924250aea74640bc1a7f25567271f | f0562087f55bc41e071710dccfd76944a4b470b4 | refs/heads/master | 2020-04-26T20:37:44.369614 | 2019-03-04T20:33:10 | 2019-03-04T20:33:10 | 173,816,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,197 | py | # Conway's Game of Life
from graphics import *
import time
def getInitialSetup():
r_file = open("conway.txt", "r")
l_grid = []
l_add = []
s_add = r_file.readline()
s_add = s_add.strip()
i_cols = len(s_add)
i_lines_read = 0
while s_add != "":
for i_num in range(len... | [
"noreply@github.com"
] | noreply@github.com |
57eebd45cf857ba05fc7d6a24572be047b3d5429 | 7f51d5a95f02c15f7cc9f1eb8ca291705f55f8a7 | /utilfuncs/preproc/preprocess.py | e59b9e41ed5653a5a14f608a58f5564774fd327a | [] | no_license | darkyed/non-local-means | 987a8a40309b484504108922604339f320074d07 | a23e271063885f2ee3888e2eb413a6e26d350963 | refs/heads/main | 2023-01-30T09:01:46.787533 | 2020-12-04T22:30:55 | 2020-12-04T22:30:55 | 313,636,998 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,935 | py | import os, cv2
import numpy as np
from PIL import Image
from utilfuncs.preproc.addnoise import add_gaussian_noise, add_saltnpepper
def open_image_arr(path):
return np.asarray(Image.open(path), dtype='int64')
def make_gray_dir(gray_path):
if not os.path.isdir(gray_path):
os.mkdir(gray_path)
def save_g... | [
"saumitra.sharma@iitgn.ac.in"
] | saumitra.sharma@iitgn.ac.in |
ab365082f599ed3b687a2489f5401a36a1891558 | 894ea5f3087894c10288f65f32b7c4f667ce79f5 | /opencv_learning/D3.py | c32fda158a73f185dde3d20545df7ce53a70db1e | [] | no_license | j32u4ukh/CupoyLearning | dfe1af1992c38329ce9f7fa99aa9154a45e9b982 | 1d813a72b0f1456bc4019d42ac207d51883f892f | refs/heads/main | 2023-02-16T23:51:10.084030 | 2021-01-18T16:05:33 | 2021-01-18T16:05:33 | 319,019,881 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,474 | py | import cv2
import numpy as np
from utils.opencv import showImages
"""Working directory: CupoyLearning
調整 飽和 / 對比 / 明亮
* 改變到 HSL color space 來調整飽和度
* 對灰階圖實作直方圖均衡
* alpha / beta 調整 對比 / 明亮
"""
path = "data/image/lena.png"
# 以彩色圖片的方式載入
img = cv2.imread(path)
"""
改變飽和度
轉換成 HLS color space, 改變 s channel 的值
"""
# 改變不同... | [
"j32u4ukh@gmail.com"
] | j32u4ukh@gmail.com |
e6c242f7656466c344365678cdf6869daa23683b | 8dbb2a3e2286c97b1baa3ee54210189f8470eb4d | /kubernetes-stubs/client/models/v2beta2_metric_target.pyi | e58a49afa7ff802b89fffd13f6b7a5441e8e92a4 | [] | no_license | foodpairing/kubernetes-stubs | e4b0f687254316e6f2954bacaa69ff898a88bde4 | f510dc3d350ec998787f543a280dd619449b5445 | refs/heads/master | 2023-08-21T21:00:54.485923 | 2021-08-25T03:53:07 | 2021-08-25T04:45:17 | 414,555,568 | 0 | 0 | null | 2021-10-07T10:26:08 | 2021-10-07T10:26:08 | null | UTF-8 | Python | false | false | 694 | pyi | import datetime
import typing
import kubernetes.client
class V2beta2MetricTarget:
average_utilization: typing.Optional[int]
average_value: typing.Optional[str]
type: str
value: typing.Optional[str]
def __init__(
self,
*,
average_utilization: typing.Optional[int] = ...,
... | [
"nikhil.benesch@gmail.com"
] | nikhil.benesch@gmail.com |
f45766ae0ebc407cf3095029ed15a6dec1dae165 | f96143430d469b111616fba826e6da4eba08626e | /AegeanTools/fitting.py | feb93ff10e7abfe58b49b6d0c577c7c6f7bc2d1e | [] | no_license | jnothman/Aegean | 4e3776c46f4933f5c804946de1d02915ae28a01f | d6fda00c612c1e6d34ca1c71e1a8f97494ab430e | refs/heads/master | 2021-04-06T08:19:44.630878 | 2018-03-07T07:24:24 | 2018-03-07T07:24:24 | 124,828,888 | 0 | 0 | null | 2018-03-12T03:28:28 | 2018-03-12T03:28:28 | null | UTF-8 | Python | false | false | 49,862 | py | #! /usr/bin/env python
from __future__ import print_function
"""
Provide fitting routines and helper fucntions to Aegean
"""
__author__ = "Paul Hancock"
import copy
import math
import numpy as np
from scipy.linalg import eigh, inv
import lmfit
from .angle_tools import gcd, bear
# Other AegeanTools
# from models imp... | [
"paul.hancock@curtin.edu.au"
] | paul.hancock@curtin.edu.au |
a5febbe7a5eedfbbabe6af1b6c0a253823fdc6b5 | 16b389c8dcace7f7d010c1fcf57ae0b3f10f88d3 | /docs/jnpr_healthbot_swagger/test/test_topic_schema_variable.py | d8cf50a23cf30844a79d2a6d4c4d3e87e9c010c1 | [
"Apache-2.0"
] | permissive | Juniper/healthbot-py-client | e4e376b074920d745f68f19e9309ede0a4173064 | 0390dc5d194df19c5845b73cb1d6a54441a263bc | refs/heads/master | 2023-08-22T03:48:10.506847 | 2022-02-16T12:21:04 | 2022-02-16T12:21:04 | 210,760,509 | 10 | 5 | Apache-2.0 | 2022-05-25T05:48:55 | 2019-09-25T05:12:35 | Python | UTF-8 | Python | false | false | 955 | py | # coding: utf-8
"""
Healthbot APIs
API interface for Healthbot application # noqa: E501
OpenAPI spec version: 3.1.0
Contact: healthbot-feedback@juniper.net
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagg... | [
"sharanyab@juniper.net"
] | sharanyab@juniper.net |
6482fd17afa899f103ed82ac3493c7078a08dcd9 | 72ae11b00b4e145c4c038c2d11b64aa6ccd2b757 | /web/controllers/user/User.py | 3437203bd98c536440432d0210e47167bed16c4b | [] | no_license | zhangben6/Wechat_OrderProgram | dc6e77e86f408ecff8edf37bda165bf12c5bc4a4 | 0829b5a1a704d4782ef15d19b09c8e2d8ab0ded8 | refs/heads/master | 2020-04-23T15:32:21.075991 | 2020-03-05T07:52:36 | 2020-03-05T07:52:36 | 171,269,040 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,145 | py | # -*- coding: utf-8 -*-
from flask import Blueprint, request, jsonify, make_response, redirect, g
from common.models.User import User
from common.libs.user.UserService import UserService
from common.libs.Helper import ops_render
import json
from application import app
from common.libs.UrlManager import UrlManager
from ... | [
"1457287508@qq.com"
] | 1457287508@qq.com |
284412a761ad3e00bca57a9da838c34744d00d20 | 990eecd5494081d5ecda124de0bdb85bc9347e0c | /Driving KPIs_idle time_and_cycle/Idle_time_indus_ETL_v14.py | 5cc91d8519a442c2f5cb7b8cff4f1b435078a845 | [] | no_license | elevenstrategy/Optimizer | 922dcd5419c4056093d63a2dc65a3e4a98fed311 | 10b191b9b829fd9a59a71d62aa9e7e510d02dcff | refs/heads/master | 2022-02-26T01:06:16.971696 | 2019-09-12T13:06:13 | 2019-09-12T13:06:13 | 98,518,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,399 | py |
# coding: utf-8
# In[3]:
import requests,json,sys,os,gc,time #, urllib.parse
from urllib.request import Request
import urllib.request
import numpy as np
import pandas as pd
from datetime import datetime,timedelta
from retrying import retry
from sqlalchemy import create_engine
"""
#NOTE WORKFLOW
a deux fois par jou... | [
"henri.bouxin@gmail.com"
] | henri.bouxin@gmail.com |
183067a47327fd162070d8b72ad034b2d82d343b | 4ab26f2eb3167b08653715597bc2c78979e43ad7 | /email_sms_auto.py | 9e6aff272c613ac97f0e463c5d2b78c5653cc944 | [] | no_license | CTRL-pour-over/Automation-Using-Python | 8d1ce0766326b9e5272c4091dd51c61f30325984 | 067632b366b93bcf8a9cab73c4acd656219189a1 | refs/heads/master | 2022-06-19T11:02:39.079920 | 2020-05-07T14:15:36 | 2020-05-07T14:15:36 | 262,069,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,222 | py | import smtplib
import requests
import random
from bs4 import BeautifulSoup
import time
from email.mime.text import MIMEText
email = "youremail@gmail.com"
phone = "yourphonenumber@messaging.sprintpcs.com" # Boost Mobile
def scrape_data(): # this is a web scraping function that
page = requests.get("ht... | [
"noreply@github.com"
] | noreply@github.com |
c867e8178c3e307027a310c680b5dc60c0a7aeba | 7395af9906200bb7135201ede8e238c0afb46c65 | /public_api/api_requests/create_transaction.py | 6edaac4ade0a40754dce2345e1b754c36cfb54fa | [] | no_license | bellomusodiq/public-api | 6fd21d91f9df4e1ef75d2f43f3d2ad59afc1f30c | 20b59ecc67ac6c969a9c47991f385e538762c2a6 | refs/heads/master | 2023-01-02T05:30:53.797873 | 2020-10-27T20:19:51 | 2020-10-27T20:19:51 | 305,782,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,364 | py | import requests
import json
import random
import string
from .config import base_url
def generate_random_string():
choices = string.ascii_letters + string.digits
string_ = ''
for _ in range(20):
string_ += random.choice(choices)
return string_
url = "{}/test/transactions".format(base_url)
... | [
"bmayowa25@gmail.com"
] | bmayowa25@gmail.com |
6a8a9ac0ad869a43359709201732fda3714a9f1e | 556a35688986c975b88d5a755c35aee18d600155 | /UO.py | 721cb3e162874eef58eadac37c43e73f5e1f79a1 | [] | no_license | AshMohanty/-iru.co.util | fe0305baed713698ee2519958d4a1e7dcf8612db | fd29cf90c0b497380bcf22017ca35bc69b525b07 | refs/heads/master | 2020-12-03T00:38:46.873470 | 2017-09-01T02:23:06 | 2017-09-01T02:23:06 | 96,055,282 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,699 | py | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Spider
from scrapy.http import Request
class UoSpider(scrapy.Spider):
name = 'UO'
allowed_domains = ['urbanoutfitters.com']
start_urls = ['http://urbanoutfitters.com/mens-back-in-stock/']
def parse(self, response):
clothes = response.xp... | [
"noreply@github.com"
] | noreply@github.com |
61736faaf743b1d71d5a9f64be98135da73cf724 | 40ece38b446618d35a9302e3e28b01831df03cf1 | /bolt/items.py | d08ffdd9f1a7005f4a0cf2e6cdb8a09be0d4b721 | [
"Apache-2.0"
] | permissive | akskap/bolt | 372174d024a1a257ae414a73f1a75cde118be5af | f9b75a879c87172a7a08ebec9eb113c0acd5a71d | refs/heads/master | 2021-01-13T03:33:52.492723 | 2016-12-26T12:37:44 | 2016-12-26T12:37:44 | 77,313,716 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class Webpage(scrapy.Item):
title = scrapy.Field()
links = scrapy.Field()
status = scrapy.Field()
images = scrapy.Field()
class Image(... | [
"akshay.kapoor@paxcel.net"
] | akshay.kapoor@paxcel.net |
60154971e033303df3ec37c5af4870bd330cbc8c | aabcf7b509608af70ce9fa6e7665837f6b6984b0 | /bincrafters_envy/main.py | 14ef7546bb5c5216fd5a45f5e21aae151fb2df3d | [
"MIT"
] | permissive | bincrafters/bincrafters-envy | 2573177e83c8ec0687eff9c76cbc0c79b1a4135c | 584ea39c16927ca3d1ffc68b32ec8d77627c27e0 | refs/heads/develop | 2023-06-08T10:55:37.920810 | 2019-07-26T08:35:48 | 2019-07-26T08:35:48 | 113,282,817 | 1 | 0 | MIT | 2023-06-01T12:24:40 | 2017-12-06T07:21:00 | Python | UTF-8 | Python | false | false | 266 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
if sys.version_info.major == 3:
from bincrafters_envy import bincrafters_envy
else:
import bincrafters_envy
def run():
bincrafters_envy.main(sys.argv[1:])
if __name__ == '__main__':
run()
| [
"uilianries@gmail.com"
] | uilianries@gmail.com |
d3b4582309aca94f3cad2c6532f54bed4c5359e3 | 7af8313ffd56c9bc9ca4a1cd5f62555037530940 | /razlomak.py | 79df62af5bb2dbf0a1a5e8cf4d2dea8605b60a3e | [] | no_license | ivobug/zadaproinz1 | e7c6ad0231f131e759ef0893eb30d2bddf32d70f | 049dca6c0a83f27c3a7bb845e2bb394c6993cf61 | refs/heads/master | 2021-05-21T07:46:49.860138 | 2020-04-06T18:28:46 | 2020-04-06T18:28:46 | 252,606,943 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,124 | py | from fractions import Fraction
class Razlomak(object):
def __init__(self, brojnik, nazivnik):
self._brojnik=brojnik
self._nazivnik=nazivnik
@property
def brojnik(self):
return self._brojnik
@brojnik.setter
def brojnik(self, value):
self._brojnik=value
... | [
"ivo.bagaric.2@gmail.com"
] | ivo.bagaric.2@gmail.com |
161cd2ba55e70474da6fcdf802bfe5a7511be7ff | 641c037d8b48a3f39f2141ff25c4268aa0fde96c | /SDD_chainer/environment/train.py | 4193ab76c53b47cb29bf0cf7cc98578582806155 | [] | no_license | acyloon/path_predict | a93eabba2ef97ef99e7d951c37d57ea84a549be9 | 12ae9acee3e63f0efdf2de12aff90c296edb167d | refs/heads/master | 2020-07-18T11:55:12.433974 | 2019-09-11T22:30:44 | 2019-09-11T22:30:44 | 206,241,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,922 | py | # coding:UTF-8
import time
import argparse
import cv2
from glob import glob
import numpy as np
import matplotlib.pyplot as plt
import chainer
from chainer import optimizers
from chainer import cuda
from chainer import serializers
from net import Model
from load_train import Train_DataLoader
from load_test import Tes... | [
"akira-uga@hiroshima-u.ac.jp"
] | akira-uga@hiroshima-u.ac.jp |
5d71468f77de49afdf245b3619550254453ab81b | c25cd48cadfa3492ec238bb033d4ece681a216f4 | /lavaralouça.py | 835fd1f90c7322dd5f7416a677d577b6dee0fdf9 | [] | no_license | nobregagui/Guicodigo1 | 1647fcebee52bab2719ab798420bbbc9f53f24d3 | 6984c8fae3502e452481a68dc40f65605af8b454 | refs/heads/master | 2022-09-02T20:55:09.648612 | 2020-05-28T03:10:08 | 2020-05-28T03:10:08 | 267,476,906 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 312 | py | from random import shuffle
n1 = input('Primeiro nome: ')
n2 = input('Segundo nome: ')
n3 = input('Terceiro nome: ')
n4 = input('Quarto nome: ')
n5 = input('Quinto nome: ')
n6 = input('Sexto nome: ')
lista = [n1, n2, n3, n4, n5, n6]
shuffle(lista)
print('A ordem de quem vai lavar a louça será: ')
print(lista)
| [
"nobregagui8@gmail.com"
] | nobregagui8@gmail.com |
87b4638e26c9eaf9e7f59f72d440a89b34b4040c | ff637d6b96bc4b876004c374b932a2209f5a4333 | /Face.py | 24d241633d2059a40f448e2a4d7b995b96310728 | [] | no_license | advaitparulekar/Intermittent-Exotropia-Manager | d36101a1261a7c513e6ac8c10152c1f755316789 | 7210cf8f6420787a7e09583661e134ccff0e949f | refs/heads/master | 2020-06-25T06:11:11.701666 | 2019-07-28T00:37:08 | 2019-07-28T00:37:08 | 199,226,215 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,283 | py | import cv2
import numpy as np
import math
from scipy import signal
np.set_printoptions(threshold='nan')
ALPHA = 2
BETA = 1
class Eye:
def __init__(self):
self.x = -1
self.y = -1
self.w = -1
self.h = -1
self.iris_center_x = -1
self.iris_center_y = -1
self.... | [
"adutheparulekar@tamu.edu"
] | adutheparulekar@tamu.edu |
b262b213300b5887f77289f15753e723b135456f | e6e47bbe9c7b6ad22dc6b4e1428075faf10e66f0 | /python/calories linear.py | c75416687fa38f1ce16222d35cc1664c5bb02470 | [] | no_license | sravankumarreddy9/Datascience-assignments | 9bf4fbda4e7f3ed4ff620f4303fab1507d895696 | eb1646500b125743e4956c0ab6f644124fb13287 | refs/heads/master | 2020-07-22T06:19:49.681367 | 2019-12-24T10:00:15 | 2019-12-24T10:00:15 | 207,098,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,566 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 2 13:08:36 2019
@author: Sravan
"""
import pandas as pd
import numpy as np
import scipy
from scipy import stats
import statsmodels.formula.api as smf
import matplotlib.pyplot as plt
calories = pd.read_csv("C:\\Users\\Sravan\\Desktop\\EXCEL R DATA SCIENCE... | [
"noreply@github.com"
] | noreply@github.com |
3e74dac2522b1de473f5cf08b04efb7b1b480958 | 39447151741b12b438d218a2b04d9c83c105c8e5 | /numtowordconverter/owner/forms.py | 354dd7bd45c69b49ff950e8e944cce5834ed01d0 | [] | no_license | Pranavpradee/numberto_word_converter | 7fcd6a27e0d65053fe05ee54b3a236d1b30011b4 | 486f4680306d7284ba353a2db7b71dcce1dbfec9 | refs/heads/master | 2023-09-03T21:04:17.880341 | 2021-10-29T06:35:36 | 2021-10-29T06:35:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 373 | py | from django import forms
from django.forms import ModelForm
from owner.models import owner
class NumtostringForm(ModelForm):
class Meta:
model=owner
fields=["Number","Result"]
widgets={
"Number": forms.NumberInput(attrs={"class": "form-control"}),
"Result":forms.T... | [
"33pranavpradeep@gmail.com"
] | 33pranavpradeep@gmail.com |
26f2b2dacb0d6c05657c23093507fc5e80645b32 | 45e9e93736eaee5ba1d90a47fffc2293557e73d1 | /test/test_plot.py | 380b5db2a1357dd1f42d1962fd9a5749bb76a1ad | [
"MIT"
] | permissive | sheuan/wyrm | b44efdf4a8ca3fe18e327461f54a15a26a614d27 | 95e49466c87f908d7562839dba9712ab1b30e366 | refs/heads/master | 2020-12-24T06:51:04.212290 | 2016-06-13T08:25:45 | 2016-06-13T08:25:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,303 | py | #!/usr/bin/env python
import unittest
import numpy as np
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
from wyrm.types import Data
from wyrm import plot
from wyrm.processing import CHANNEL_10_20
class TestPlot(unittest.TestCase):
@classmethod
def setUpClass(cls):
x... | [
"venthur@debian.org"
] | venthur@debian.org |
3241148394327c38900042222e00277f2fb1026f | 9c562ad4d16db76e57030823bd2e800c7991c843 | /build/teleop/catkin_generated/pkg.develspace.context.pc.py | fb06735d025d8a197af07dafbfe304460f2f0217 | [] | no_license | atwang16/combot | fa5ecf9670a05475e2966bf3b2fa1447808d2282 | 56e3d4bb63992a069de18db51766ba4b814f633f | refs/heads/master | 2020-06-19T03:19:34.518851 | 2016-12-05T17:41:34 | 2016-12-05T17:41:34 | 74,923,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 468 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/austin/combot/devel/include".split(';') if "/home/austin/combot/devel/include" != "" else []
PROJECT_CATKIN_DEPENDS = "roscpp;rospy;std_msgs;message_runtime".replace(';', ' ')
PKG_CONFIG_LIBRARIE... | [
"austin.t.wang@gmail.com"
] | austin.t.wang@gmail.com |
bf17e7537b22d61931db1e1ac18bdbaf799d3afe | 3954b4fee163290713837d9e1f20772dc3b401c1 | /basic.py | e61e2710ecd2ea395b6a620d3e28922f90dc7f31 | [] | no_license | amitmittal117/python-link-find | ee373c9770599bb6f24bfa00ec91552185b7dd74 | b41a2c8090b20e32b7c33699ea91af1acecf61d9 | refs/heads/master | 2020-03-22T07:55:53.747136 | 2018-07-04T19:39:20 | 2018-07-04T19:39:20 | 139,733,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 982 | py | import bs4
import re
import requests
from urllib.request import urlopen as uReq
import urllib.request as req
from bs4 import BeautifulSoup as soup
def retriever_soup(my_url):
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()
page_soup = soup(page_html, "html.parser")
return (page_soup)
my_url =... | [
"amitarmittal@gmail.com"
] | amitarmittal@gmail.com |
f33ec649bb76f8158bbedcd21a834b19cbeb7a00 | 070fad3c9004ff5dfe99c55880690916c050366c | /mySite/rekshop.py | 17190baf7555ef15de2c345c06d6afb97da4531f | [] | no_license | TshalabaevCaspianLabs/AnaliticsPy_2 | 57dae7735e7c4319ccdb50eb3005a7892602c9c5 | 8fdfc9762dc477db2e089344011d859c756d6484 | refs/heads/master | 2023-04-06T18:42:48.475922 | 2021-04-19T22:01:53 | 2021-04-19T22:01:53 | 359,610,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,987 | py | import time
from multiprocessing import Pool
import requests
import xlwt
from bs4 import BeautifulSoup as bs
from loguru import logger
def get_html(url):
try:
r = requests.get(url)
if r.status_code == 200:
return r.text
else:
logger.error('Not Connect Html')
... | [
"tima05ta58@gmail.com"
] | tima05ta58@gmail.com |
a4115fbc9ff07620a727fab920062e7b0ba99592 | 2a86cc0b5fe00da0db6a5aaaeac2898c9938497b | /users/urls.py | da4123276d6aa414c7ff706bbee863f389e137ff | [] | no_license | pythonmentor/charles-p8 | 14b347dd4443efe53ba382d040fcb4d2919a75cc | f2d27834fa1f003f3b19ef8175523f068b913bda | refs/heads/master | 2020-12-28T07:13:16.577042 | 2020-02-04T13:46:23 | 2020-02-04T13:46:23 | 238,224,289 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | from django.urls import path
from django.contrib.auth import views as auth_views
from django.urls import reverse
from . import views
urlpatterns = [
# path('login/', views.login, name='login'),
path('login/', auth_views.LoginView.as_view(template_name='users/connexion.html'), name="login"),
# pat... | [
"charles.casassus@gmail.com"
] | charles.casassus@gmail.com |
76d757315656ea16b44ade34e16b2678211014f4 | e1c3ef872c2d7bd4e3efddbca3647e2a0ac12986 | /Small_NewHope/Scripts/failure-1024.py | dbb90d6a6a75844b51b96e0a87020a59f6e27c83 | [] | no_license | haiyangxc/Preprocess_Then_NTT | f461af60475f9d0405c40697a812318dbdd7df2a | 1c9e528cd55241400aa3e1abe97f8cf14342e02c | refs/heads/master | 2022-12-28T23:48:00.992987 | 2020-09-24T06:18:25 | 2020-09-24T06:18:25 | 295,906,750 | 0 | 0 | null | 2020-09-16T02:53:41 | 2020-09-16T02:53:40 | null | UTF-8 | Python | false | false | 4,016 | py | from math import *
import operator as op
import numpy as np
dim = 1024
k = 5
q = 7681
bound_CC = 40000 # Bound n*mu+beta to use in Cramer-Chernoff Ineq.
n = 2 * dim / 4 # Number of samples in Cramer-Chernoff Ineq.
check_each_y = False
# Check each distribution phi_y (slower)
# experimentally, they are alwa... | [
"noreply@github.com"
] | noreply@github.com |
b6dcf2a314ce8627fe4544d3209cc0bc2f508819 | 61f3ce1a93f4efc72b7b1e5836e3283fbff429a6 | /samples/hello_tensorflow.py | 9824b4b4e7fc243cae96e46a4fc592b6355af57a | [] | no_license | cilab-aragorn/HPE-Hackathon-2018-Since-Perceptron | f4966d2d50ebb6fb4244c3f7772052db105f01a7 | d958dd0e0eca083d9497a8f1b1571e46f9a71841 | refs/heads/master | 2021-09-15T15:10:33.362782 | 2018-06-05T08:01:13 | 2018-06-05T08:01:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | import tensorflow
print()
print("Tensorflow: " + tensorflow.__version__)
| [
"tzjie.dai@gmail.com"
] | tzjie.dai@gmail.com |
77c35e61da685b86d7d099062b817c4d4650011c | aee144770c8f4ec5987777aebe5b064e558fc474 | /doc/integrations/pytorch/parlai/tasks/mnist_qa/agents.py | df1f01e28be9434fde8528ad3cb0ea9b583c46d5 | [
"CC-BY-SA-3.0",
"MIT",
"Apache-2.0",
"AGPL-3.0-only"
] | permissive | adgang/cortx | 1d8e6314643baae0e6ee93d4136013840ead9f3b | a73e1476833fa3b281124d2cb9231ee0ca89278d | refs/heads/main | 2023-04-22T04:54:43.836690 | 2021-05-11T00:39:34 | 2021-05-11T00:39:34 | 361,394,462 | 1 | 0 | Apache-2.0 | 2021-04-25T10:12:59 | 2021-04-25T10:12:59 | null | UTF-8 | Python | false | false | 2,362 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
This is a simple question answering task on the MNIST dataset. In each episode, agents
are presented with a ... | [
"noreply@github.com"
] | noreply@github.com |
8899911814852aeb6037e2a5bc1f92a73324bb5b | bb6e74879df228310c19eb0135f304852cd1762c | /250 InterestingNumber.py | 9cf03940a5378b8728e3169b6b93eb4b128b90e5 | [] | no_license | lidiamcfreitas/TC.Problems | c27772bf8eb83dcba9fffac02792abe7ac4b3f8e | 883f6123fa9776d2311f6d141cf423cc8112cd23 | refs/heads/master | 2020-06-01T00:43:57.537503 | 2017-09-07T22:37:38 | 2017-09-07T22:37:38 | 18,874,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 584 | py | class InterestingNumber:
def isInteresting(self, x):
dic = {}
l = len(x)
for i in range(l):
if x[i] not in dic:
dic[x[i]] = [i]
else:
if (type(dic[x[i]]) != list):
return 'Not interesting'
else:
... | [
"lidiamcfreitas@gmail.com"
] | lidiamcfreitas@gmail.com |
0be675f1f85ba5f732fc877fca398ee196184613 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/fibo_20200709155400.py | 3b16f98c3d18b786e0d8adc98afc754847029ae4 | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 191 | py | # solving the fibonaci sequence using recursion and dynamic programming
# Recursion
# Base case if n = 1 || n == 2 then fibo is 1
def fibo(n):
if n == 1:
result = 1
| [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
3ae4556e6c75bb8ded22afbfafb27e0f230024d3 | 23452dfe24005302ab41820737c1a679a7dae9b9 | /database/db_base.py | eb170cb28dd3ac0048338ef59bb3de589f61696f | [] | no_license | JevinJ/MycoID | 84311849d234c15db375338a8d9236e70b455a4c | e3b959714bd006d7bdd00288b8f94c3ea5cd3bcf | refs/heads/master | 2020-09-27T19:53:45.061469 | 2020-02-16T00:22:05 | 2020-02-16T00:22:05 | 226,597,724 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | import inflection
from sqlalchemy.ext.declarative import as_declarative, declared_attr
from sqlalchemy.orm import sessionmaker
Session = sessionmaker()
@as_declarative()
class BaseModel:
@declared_attr
def __tablename__(self):
return inflection.underscore(self.__name__)
| [
"jevinjones@openmailbox.org"
] | jevinjones@openmailbox.org |
c83e1091ee66be758f3eb5fe1e0510efcb5b03cc | e72b0f90d83c9c24bcbd3d2938d9b430f5164149 | /blog/migrations/0001_initial.py | 75d3b9256211425bee98033edce349d0259d476b | [] | no_license | eric-pommereau/django-test-demo | a68dd77b709dc37a40cda7c4b8b5f627bf4ac011 | 7bb7f8d8188885ea8edcd5ce4714890cab323512 | refs/heads/master | 2021-05-04T22:23:32.196602 | 2018-02-02T21:23:32 | 2018-02-02T21:23:32 | 120,032,329 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 986 | py | # Generated by Django 2.0.2 on 2018-02-02 21:01
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUT... | [
"eric.pommereau@gmail.com"
] | eric.pommereau@gmail.com |
52019a1bfed7f26846c5ebb30936679a94eaf97f | d15035bd0523295d222ddcd622195912a5cc2f99 | /InterviewBit/list_cycle.py | 843882ce651b7f6a509bd4c021b84750d2abece7 | [] | no_license | EduardoVaca/Competitive-Programming | cd69f43da294284a78de2b9e1ee7061bc522eb78 | 4143b51bbd2a65ea5b46a3447663eb0eff9161f2 | refs/heads/master | 2021-01-20T00:40:28.486041 | 2017-08-14T22:29:24 | 2017-08-14T22:29:24 | 83,161,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 542 | py | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
# @param A : head node of linked list
# @return the first node in the cycle in the linked list
def detectCycle(self, A):
visited = set()
curr... | [
"vacalalo@gmail.com"
] | vacalalo@gmail.com |
7dd9fd551ffa04472f6d303a35d2967d9345c92f | 57f5207978c5c02f79c45b866fda55aa64125a66 | /scraper.py | 46fc058fa6815ff6ae326a62dceb7d58766c5259 | [] | no_license | nid666/Pepe-Machine-Learning | 586f839276f56907a1acf71c40eb69d4a3f61df3 | eb4b401525f610cc6ea765c7c635af47d1c9977f | refs/heads/master | 2020-05-07T05:44:27.743944 | 2019-05-03T02:45:48 | 2019-05-03T02:45:48 | 180,279,607 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 324 | py | #pip install ImageScraper
import image_scraper
#this uses python3
max = input("How many pepe images do you want to download - not currently working")
source = input("From which sources should images be imported")
path = input("Add the path of test_images folder - not currently working")
image_scraper.scrape_images(sour... | [
"35160315+nid666@users.noreply.github.com"
] | 35160315+nid666@users.noreply.github.com |
67a71629916683e5e4393c7741dadfd9f0bd7755 | 293e1ab8a6d6e450307715b312eb4de45251e3a5 | /scripts/virus_share_downloader.py | b514501cb08ad7a6485bfe092e6efddd05244da9 | [] | no_license | joaogodinho/thesis | e90a6d6cfd9126f43622d6cdb326dcd424133923 | 5b38bcc7d0f5004d8ee8a9b474019a1ca932b1fe | refs/heads/master | 2021-03-26T10:32:16.766570 | 2018-02-19T14:41:44 | 2018-02-19T14:41:44 | 69,254,873 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,238 | py | """
Simple script to download virus share hashes
"""
import argparse
import gevent
import gevent.pool
from gevent import monkey; monkey.patch_all()
from urllib.request import urlretrieve
def gevent_func(pair):
print('Fetching {}...'.format(pair[0]))
urlretrieve(pair[0], pair[1])
def downloader(destinatio... | [
"joaocfgodinho@gmail.com"
] | joaocfgodinho@gmail.com |
d6f72acbd5a87945e02e30a1fbc7fa53ce292903 | 724317c256e3c57e8573f74334be31f39ba34eb9 | /scripts/graphquestions/insert_to_db.py | 08cadc30d76f276e8821af87e44558d87e2df6ee | [
"Apache-2.0"
] | permissive | pkumar2618/UDepLambda | a36662014fc23465aff587761810b986e4dad6dd | 08f00b7dc99bb06c6912e9e83f47c32ebdd38eff | refs/heads/master | 2022-11-25T09:22:41.444891 | 2020-08-01T08:56:52 | 2020-08-01T08:56:52 | 282,916,873 | 0 | 0 | Apache-2.0 | 2020-07-27T14:09:32 | 2020-07-27T14:09:32 | null | UTF-8 | Python | false | false | 474 | py | #!/usr/bin/python
import MySQLdb
# connect
db = MySQLdb.connect(host="rudisha.inf.ed.ac.uk", user="root", passwd="ammuma1234", db="gq_german")
cursor = db.cursor()
# execute SQL select statement
cursor.execute("SELECT * FROM sentences")
# commit your changes
db.commit()
# get the number of rows in the resultset
nu... | [
"siva@sivareddy.in"
] | siva@sivareddy.in |
468af2555cac3a4bc2e06abafe5def8c58ba6fd7 | 759aae9d096aa4d14c8e16fe946fa5163b59fd44 | /main.py | 7da0b3ae591ca0cde3ef1744dcce1574597d792d | [] | no_license | rexendz/salvavida | c2cc6325de232fe7b5ad2e070e34f1525441dcfa | 363ce4cb18b784bcaef70e89d9fa59844bea99d9 | refs/heads/main | 2023-07-30T15:25:10.734509 | 2021-09-11T10:17:23 | 2021-09-11T10:17:23 | 362,212,193 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,144 | py | from PyQt5 import QtCore
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from HCSerial import SerialListener
import RPi.GPIO as GPIO
import os
import sys
import time
from firebase_admin import credentials
from firebase_admin import db
import firebase_admin
userpath = os.getenv("HOME"... | [
"rexendozo@gmail.com"
] | rexendozo@gmail.com |
57e2721a86265647e4684e4999bd545378f1b910 | 3e32e7da22e54aac6a3cbdc0e24ff87f3a2645d4 | /src/util.py | 4e0f8ffdcb60f08815ee420306b12a015a8c345c | [] | no_license | markus-hinsche/weakly-supervised-semseg | d2489cc23643cfb76346d9a20b6520ba2f915e27 | 2e871b3b6305d7b5711d792746535b780bc305fa | refs/heads/master | 2023-05-09T18:53:34.343594 | 2020-08-12T18:46:39 | 2020-08-12T18:46:39 | 276,607,161 | 1 | 0 | null | 2021-06-08T21:58:58 | 2020-07-02T09:39:50 | Jupyter Notebook | UTF-8 | Python | false | false | 4,040 | py | # https://docs.fast.ai/dev/test.html#getting-reproducible-results
from functools import partial
from pathlib import Path
import re
from typing import List, Tuple
import torch
from fastai.vision.image import ImageSegment
from fastai.basic_train import Learner
from src.constants import (
GT_ADJ_TILES_DIR,
CLAS... | [
"m.hinsche@gmail.com"
] | m.hinsche@gmail.com |
d68b622c4127cb84da1896df7dd634f69ad260ac | 925d6c11ad50f3f56a5665e1f854e83ecf0427b4 | /python/gaussian2.py | fe06435956bed8d1b5b4ab7007c1edafe0c7b270 | [] | no_license | camillanore/Studies | 244a57834f71fc1a28b4ee82ea31cf6c2678703a | a4b625e0d243fcd76f9418fb2d523dad5fd9e752 | refs/heads/master | 2021-01-25T04:57:29.787317 | 2015-12-09T15:50:29 | 2015-12-09T15:50:29 | 41,266,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,382 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 13 21:32:24 2015
@author: Camilla Nore
"""
"""
.16 (gaussian2.py, side 136), 3.23 (Heaviside.py, side 139)
"""
# Exercise 3.16 Implement a gaussian function
import pylab
import numpy as np
import math
def main():
table = gaussian_table(n=12)
print_table(table)
... | [
"camilla.nore@gmail.com"
] | camilla.nore@gmail.com |
401adce227f61bb18aa04f7107603a09fd393ac8 | c65100178864f7190d57a6ccc8fd2f2024d5e29f | /scripts/orphanDetection4/kPartId_vDayGraph.py | 0096d80354469b45587ddbaae9bd3df89cc67307 | [
"Apache-2.0"
] | permissive | bcolloran/jydoop_bcolloran | bfcc633cd6d16f2afadfd1bc37fa7dfefcc9b69c | e72c0b190be47a43cb19bcfb10e86b61d61c6ab9 | refs/heads/master | 2021-01-18T14:57:51.509445 | 2014-05-20T04:45:17 | 2014-05-20T04:45:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,210 | py | import jydoop
import healthreportutils
import json
import datetime
import orphUtils
import dag
output = orphUtils.outputTabSep
setupjob = orphUtils.hdfsjobByType("HDFS")
def sortedDayInfoToDagInfo(sortedDayInfo):
nodes = [dag.DayNode(id=label,date=info["date"],data=info["data"]) for label,info in sortedDayInf... | [
"bcolloran@mozilla.com"
] | bcolloran@mozilla.com |
3c8297cb42490eb25cce6c5c943cf17c2d02631b | 4bd1e6df114f49656ce8110030d6b996cb8a96fa | /Crash Course in Python/Graded Assignment Week 1/question_9.py | 72faf143027690f53f3e503d7b317fb03766273b | [] | no_license | tannuyadav03/wordcloudd | 93478bb949bbc9ddfcf4c44c64375b3252f3cc05 | 0b321ccb1df1777974b935fa17bb7a630f5aeab9 | refs/heads/master | 2022-12-25T23:22:33.832979 | 2020-09-30T09:19:15 | 2020-09-30T09:19:15 | 299,820,357 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31 | py | answer = (26**6)
print (answer) | [
"noreply@github.com"
] | noreply@github.com |
93ac241919e6397982f959d7414982f777a8249f | 50bc2e7da2c0e8d941c99a6cfb482f731e5ee5cb | /p005.py | f9fdf5befbb9c07a9afcff4550a7dd67c5ad7936 | [] | no_license | abachman/project_euler | e1207268af46d4704d617d50ae3cef4796a50d26 | b006d31d696b18b37948111bf75296af76e4e218 | refs/heads/master | 2016-09-05T19:51:30.713652 | 2010-01-19T02:13:33 | 2010-01-19T02:13:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | """
2520 is the smallest number that can be divided by each of the numbers
from 1 to 10 without any remainder.
What is the smallest number that is evenly divisible by all of the
numbers from 1 to 20?
"""
import psyco
psyco.full()
def lcm(a, b):
na = a
nb = b
while b != 0:
t = b
... | [
"adam@adam-laptop.(none)"
] | adam@adam-laptop.(none) |
d0789467ec3dd1f0b7fa3dec5e854cc556e9f14d | 073d693d3369e41a29f842c0b153241e47e1b2ac | /test/functional/wallet_listsinceblock.py | e197a528aec3b0e473b598c0331e5fcd6dca9283 | [
"MIT"
] | permissive | robervem/sbercoin | 2a7984a7d77a63c51957e9b8b6df6bc759925d2e | ba61e50fab7e3b15e39a9cbe3a7adf08cab96d39 | refs/heads/main | 2023-02-09T21:16:56.425759 | 2021-01-07T20:09:19 | 2021-01-07T20:09:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,819 | py | #!/usr/bin/env python3
# Copyright (c) 2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the listsincelast RPC."""
from test_framework.test_framework import SberTestFramework
from test_framew... | [
"k.arya2946@gmail.com"
] | k.arya2946@gmail.com |
07a24866f1f9f5ad1e5bfc1531e3d4910f4387ea | 3a91171eea92584701bc3f5a36b3ed09705dfc83 | /bot.py | c93bd0cfac74d7af948fe935fa0d52ea78271122 | [] | no_license | Rita-Zey/python_project1 | 15d7aadc931a8b0265454175107a8ef45d03bd33 | 2de67140104d9f42bd9127d69366e9c40d48f763 | refs/heads/main | 2023-02-27T17:02:19.444646 | 2021-02-09T17:01:31 | 2021-02-09T17:01:31 | 329,972,305 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,488 | py | def greet(bot_name, birth_year):
print('Hello! My name is ' + bot_name + '.')
print('I was created in ' + birth_year + '.')
def remind_name():
print('Please, remind me your name.')
name = input()
print('What a great name you have, ' + name + '!')
def guess_age():
print('Let me guess your age... | [
"77503408+Rita-Zey@users.noreply.github.com"
] | 77503408+Rita-Zey@users.noreply.github.com |
f6cf59c2e84f50c4a223b072f2e2074a3ecab041 | 3f92a94de32b3480f803f256f82c0851962fe133 | /training/multi_label_trainer.py | e9e4048d643c6d2f67cf519487acb09eb3de8cd1 | [] | no_license | PatrickRogg/ner-products-skills | 10d70510b312406d182701052cef3a58ea7c85c1 | a31a13b91774729a50377c94c7a801e8bdbf825f | refs/heads/main | 2023-04-18T19:20:24.376520 | 2021-05-01T19:16:06 | 2021-05-01T19:16:06 | 363,478,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 508 | py | import torch
from transformers import Trainer
class MultiLabelTrainer(Trainer):
def compute_loss(self, model, inputs, return_outputs=False):
labels = inputs.pop("labels")
outputs = model(**inputs)
logits = outputs.logits
loss_fct = torch.nn.BCEWithLogitsLoss()
loss = loss_f... | [
"learning-platform@outlook.com"
] | learning-platform@outlook.com |
5515d443b13349798cfa913a38ad8787ca09c206 | 4bd3042d0b6bdb59d1371d82cca14efea83321ea | /telegramBot.py | 7b7ca7b4e2dadfb64efa678a79039566dbdc628b | [] | no_license | Deeptradingfx/DOM-BOT | d7fc6892ad154445603a88d6edc8fa0698ec209f | 64ddccaf416b199d9a49ba3d3dbe8edeeed1f40d | refs/heads/master | 2020-06-16T13:02:55.153886 | 2019-07-01T16:15:40 | 2019-07-01T16:15:40 | 195,584,315 | 1 | 0 | null | 2019-07-06T21:25:16 | 2019-07-06T21:25:15 | null | UTF-8 | Python | false | false | 4,270 | py |
"""
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 initiate the co... | [
"rodrigo.calderano@gmail.com"
] | rodrigo.calderano@gmail.com |
2b3f114f513fe7e984f7776fced87f68fec3f841 | 831658c4e15b755291fd3cabef33a8e83217f0a4 | /blog/models.py | f28b2678da307c51aea8bcad682f260cb7ca75f6 | [] | no_license | giorgia-amici/Django-Girls | a74000cb8b8cbf3e25863a23c52c04af792c5cbc | 37a7280713aaae798e6554d494537b43c2a8a9c7 | refs/heads/master | 2021-01-10T19:28:13.286670 | 2014-12-29T17:05:31 | 2014-12-29T17:05:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 481 | py | from django.db import models
from django.utils import timezone
class Post(models.Model):
author= models.ForeignKey('auth.User')
# the ForeignKey is a link to another model
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date =... | [
"giorgia1london@gmail.com"
] | giorgia1london@gmail.com |
4d7e6b720c8613a434e813697ed7290c1f4143ff | 5ae880c16efc3932f9893023abf7bf9d5be96542 | /src/web_pm25.py | af35b3a42a6be5328e0f750e737fef157c0b6e8a | [] | no_license | minsoo3380/ReallyFine | ae9bb4f9c8eaaeff64d92f030a468b809d8e97bc | 5e5583a17617504f6386adb354aea8647a82cf06 | refs/heads/master | 2020-05-18T07:47:40.023384 | 2019-11-23T18:49:17 | 2019-11-23T18:49:17 | 184,273,409 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,619 | py | import re
import sys
import ast
import pymysql
import requests
from bs4 import BeautifulSoup
from datetime import datetime
url = None;
now = None;
year = None;
month = None;
day = None;
hour = None;
t_hour = None;
host = 'localhost'
user = 'root'
pswd = '123123'
dbname = 'ReallyFine'
chrset = 'utf8'
if len(sys.argv)... | [
"minsoo3380@naver.com"
] | minsoo3380@naver.com |
c7a7801595da9f87818f808e5b2cce9ec5584b55 | b6e4c5150b91688c6e92438aa5765fd9028a8c5f | /Cython/Compiler/Tests/TestJediTyper.py | 8e974eb6889429c3d546d9283acea8e2d657c62f | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | aigrama/cython | f3ea22c61e81309df0888cc23954f055278cb0b0 | 3a254499a4d85e6cc9fb15191d90c3831123c6ac | refs/heads/master | 2021-01-14T12:34:44.001832 | 2014-08-28T18:31:06 | 2014-08-28T18:31:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,980 | py | # -*- coding: utf-8 -*-
# tag: jedi
from __future__ import absolute_import
import unittest
from textwrap import dedent
from contextlib import contextmanager
from tempfile import NamedTemporaryFile
from ..ParseTreeTransforms import NormalizeTree, InterpretCompilerDirectives
from .. import Main, Symtab, Visitor
from .... | [
"stefan_ml@behnel.de"
] | stefan_ml@behnel.de |
40cf3cfc03f4e41404ac0966c81f9327edc1fa42 | 68580b38d7ce2f5c4ef9c3ec20aa09d8a3bd8787 | /src/test/guokr.py | e976431cf29532914c9d6c137b6add487c5eea19 | [] | no_license | Frude/python | e8b27971b46adf004cd10f752f988ea86da8f317 | f8c2c2a980f3cca3d8283b2336081cae11654261 | refs/heads/master | 2020-09-27T00:02:59.029753 | 2016-08-18T02:05:58 | 2016-08-18T02:05:58 | 65,955,007 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,155 | py | # -*- coding:UTF-8 -*-
from GetSoup import Soup
import re
from bs4 import BeautifulSoup
from apicloud.dataCloud import DataCloud
from Get_html import get_html
from upload import upload
from random import random
from time import ctime,sleep
import sys
import os
from log.main import m_log
'''
Created on 2016... | [
"czq347@hotmail.com"
] | czq347@hotmail.com |
61dc717e8adc2e6f67c46000869f02c7bb8bd50b | b570c02e2767b0ed7f0bf99edeff16bbd926de58 | /security_monkey/watchers/vpc/peering.py | 467f971bd971cb3855e9128a036db103a2e71df4 | [
"Apache-2.0"
] | permissive | Bridgewater/security_monkey | 708cbdc162f2ae9010a9e60a45bf1a30128a66c6 | 11896c788b250748c31596e75d68e5429b43c43c | refs/heads/develop | 2020-02-26T13:22:01.140503 | 2016-12-01T15:54:03 | 2016-12-01T15:54:03 | 67,235,506 | 1 | 1 | null | 2016-09-02T15:48:34 | 2016-09-02T15:48:34 | null | UTF-8 | Python | false | false | 4,389 | py | # Copyright 2016 Bridgewater Associates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | [
"noreply@github.com"
] | noreply@github.com |
2da1e688ed05f5cb84c5af24b260395a80713e43 | 3afcbc632db73e87a8b1ce8e3a5223c5a5da1451 | /source/ple/delay_plotting_nodes_ordered.py | 430a7350b160e3b99003ee448f3c8ea8fdffc764 | [] | no_license | ruben11291/master-thesis | cc32ff790dd6f5dd8dcc9305460419ca2ece0e54 | 1668bfa96bafdf5ab7ffffcf8e1b9dbf041772d7 | refs/heads/master | 2020-06-03T20:55:35.957604 | 2014-10-09T13:58:34 | 2014-10-09T13:58:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,459 | py | """This script makes a plot representing the bandwith of a node in front of the time"""
dst={"France":0,"Switzerland":1,"Belgium":2,"Netherlands":3,"Spain":4,"Germany":5,"Italy":6,"Czech Republic":7,"United Kingdom":8,"Ireland":9,"Portugal":10,"Hungary":11,"Poland":12,"Norway":13,"Greece":14,"Sweden":15,"Finland":16,"... | [
"ruben.perez@alu.uclm.es"
] | ruben.perez@alu.uclm.es |
e019f16db7ba4fbd11cc190bd1425769fda97daa | 9d5b0bcc105f7a99e545dd194d776a8f37b08501 | /tf_quant_finance/math/integration/simpson.py | d011b774ef2f030af974719aec196bfd567db508 | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | permissive | priyalorha/tf-quant-finance | ab082a9bd6d22fd3ea9a3adcf67a35dc23460588 | 72ce8231340b27b047279012ffe97aeb79117cdf | refs/heads/master | 2023-02-23T11:08:30.161283 | 2021-02-01T13:57:43 | 2021-02-01T13:58:14 | 334,980,881 | 1 | 0 | Apache-2.0 | 2021-02-01T14:45:14 | 2021-02-01T14:45:14 | null | UTF-8 | Python | false | false | 3,828 | py | # Lint as: python3
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | [
"tf-quant-finance-robot@google.com"
] | tf-quant-finance-robot@google.com |
aa32538b420d1262db70ddec070387de02ff8f49 | 1a83e8e6457881c47babb08b8e6ecd8e00bfb30b | /lab1/searchAgents.py | 7cabb3bd59f0bf5c7153f2604b58d0cf1cc2ac77 | [
"MIT"
] | permissive | fgulan/ai-fer | 0dd24c8ee553ebef7f6ecae3b2816f7f05f11a88 | 1631c1a8c58a2b11db21ae40061b2e618a529fa6 | refs/heads/master | 2021-04-28T18:50:06.236527 | 2018-02-17T18:32:38 | 2018-02-17T18:32:38 | 121,881,207 | 0 | 4 | null | null | null | null | UTF-8 | Python | false | false | 21,769 | py | # searchAgents.py
# ---------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley... | [
"filip.gulan@infinum.hr"
] | filip.gulan@infinum.hr |
2a210351a0c226a2b43b78c50b5900542c2130a5 | 222ab936c99c923c1a75c803a685900540f6551a | /todo/main/urls.py | 3d66d836bcd7f1619f6d96dabef449663e133c6b | [] | no_license | Immaculated/todo_edu_django_basic_by_sergkot | e61075dfc7887ead88664a256c3fc0db95fdaa26 | 458a4cc35d4e5cbbb7658596e0d212ed1b12d3ba | refs/heads/main | 2023-04-21T23:40:14.316456 | 2021-05-11T17:52:58 | 2021-05-11T17:52:58 | 366,337,895 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 454 | py | from django.urls import path
from main.views import main_view, create_view, edit_view, delete_view, MainView, CreateView
app_name = 'main'
urlpatterns = [
# path('', main_view, name='main'),
path('', MainView.as_view(), name='main'),
# path('create/',create_view, name='create'),
path('create/', Create... | [
"FKopk3290"
] | FKopk3290 |
9576363bed25a00e07b7943964282357554d0aec | 7bf802a429d48f8baa717eb3e5667dabb1322cfb | /MI/Blient/urls.py | f48ce2b58aadb7a9c4d03cfbb613e9ded8505892 | [
"Apache-2.0"
] | permissive | ITgaoS/MI | 89476d0bcb620445982f13bc54a0e2d80c44141e | d35d53fa2c18ae0f5764f0568dbb01bca35050f3 | refs/heads/master | 2020-09-05T03:57:34.226630 | 2020-01-03T07:12:25 | 2020-01-03T07:12:25 | 219,975,918 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | from django.urls import path,include
from Blient import views
urlpatterns = [
path('login/',views.login)
] | [
"603128825@qq.com.com"
] | 603128825@qq.com.com |
37f740d4e6a0dcaa6173671c51c141554d7a7332 | 7366f292ede1ce81481e4b07fab70433a854012f | /searching-and-sorting/sorting/mergeSort.py | edf1cd25577d28a6d9ff1aabf49b223915893332 | [
"MIT"
] | permissive | nishantml/Data-Structure-And-Algorithms | 86534936d20c00e31ee71485ca8e07232b5c7671 | 1f75bdbddb5fa4bccba762515460c73280cde65d | refs/heads/master | 2023-03-05T22:31:19.027993 | 2021-02-21T16:50:31 | 2021-02-21T16:50:31 | 275,635,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,170 | py | import math as Math
def mergeSort(array):
"""call itself to divide the array till the size becomes one"""
if len(array) == 1:
return array
# Split Array in into right and left from the middle
length = len(array)
middle = Math.floor(length / 2)
left = array[0:middle]
right = arra... | [
"nishantbhushan10@gmail.com"
] | nishantbhushan10@gmail.com |
5f3ef402e43e381527b710f81ee8970f9ac7c5a1 | aaa204ad7f134b526593c785eaa739bff9fc4d2a | /tests/system/providers/google/marketing_platform/example_analytics.py | 0d8f94ec38e552ad8bfc9ef564376ae17a7b7d4e | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | cfei18/incubator-airflow | 913b40efa3d9f1fdfc5e299ce2693492c9a92dd4 | ffb2078eb5546420864229cdc6ee361f89cab7bd | refs/heads/master | 2022-09-28T14:44:04.250367 | 2022-09-19T16:50:23 | 2022-09-19T16:50:23 | 88,665,367 | 0 | 1 | Apache-2.0 | 2021-02-05T16:29:42 | 2017-04-18T20:00:03 | Python | UTF-8 | Python | false | false | 3,724 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"noreply@github.com"
] | noreply@github.com |
b40188c35263eb2a38a24d4cd2baa6aeb5c9a6d2 | 96b8e52ec797e64ba34ae46bb23452798e96616e | /scrap.py | 782f1e45443c47c9a17880bbad389d26801bfd77 | [] | no_license | RaulinN/BA6_SHS_DH | c0b0b69d40715785f060491d4ef52c6976a20acf | b7d21f2e2e111bd05ba51cc7c89d645aa9f40e3e | refs/heads/master | 2023-05-04T07:48:14.605134 | 2021-05-31T16:51:38 | 2021-05-31T16:51:38 | 359,808,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,015 | py | import requests
from bs4 import BeautifulSoup
import pickle
import time
import sys
import pandas as pd
import os
from PastaMaker import *
import keywords
def get_id(letter, existing_elites=[], limit = 100000):
"""
Prends en entrée la lettre du début du nom des élites que l'on souhaite extraire
et un table... | [
"ira.dobbelaere@epfl.ch"
] | ira.dobbelaere@epfl.ch |
604b0c7c174ad79b4bdc7d8e4b17806b687eb403 | b299ceb502e56dfc113e50f14128dca5bd9c5bf8 | /lists/urls.py | 512c2e1ade508a5445e9dc134bc3f03cef0847e3 | [] | no_license | felipe-lee/superlists | cd11043a48bbb1466e6a8b2ff37e37a7a8d671a0 | 663e4df57a5664dd6723687ea762b862f5232e7b | refs/heads/main | 2021-05-09T09:37:21.011431 | 2018-05-06T16:47:58 | 2018-05-06T16:47:58 | 119,450,624 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 439 | py | # -*- coding: utf-8 -*-
"""
Lists app URL Configuration
"""
from django.urls import path
from lists.views import NewListView, my_lists, share_list, view_list
app_name = 'lists'
urlpatterns = [
path('new', NewListView.as_view(), name='new_list'),
path('<int:list_id>/', view_list, name='view_list'),
path('u... | [
"felipe.lee.garcia@gmail.com"
] | felipe.lee.garcia@gmail.com |
b53f3b347806934c4c56b745053b183d33898247 | 469300405fc2da95132ef432071c15565a7434b5 | /python_hw2.py | c84d68e977ddd3643ab73d8bac8082fad56f7a54 | [] | no_license | AnaPolly/Poppins-bag | 8653b0b48478bd3c54b51026dc5edc6338c6ebd0 | fbe38652b70f8ef039f352a6190dd8a822b7dd20 | refs/heads/main | 2023-08-06T00:05:04.905636 | 2021-10-07T11:24:15 | 2021-10-07T11:24:15 | 407,823,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,040 | py | friend_1_name = "Isa Pereira"
friend_1_email = "isa.pereira@example.com"
friend_1_age = 38
friend_1_the_best = True
friend_2_name = "Dri Renno"
friend_2_email = "dri.renno@example.com"
friend_2_age = 38
friend_2_the_best = True
friend_3_name = "Si Fernandes"
friend_3_email = "si.fernandes@example.com"
friend_3_age ... | [
"noreply@github.com"
] | noreply@github.com |
46914611421331bc8c3b99a2f18da0e2a7b11766 | eb3c6e228a05e773fad89b42da0f54a1febbd096 | /plenum/bls/bls_bft_utils.py | 67d709cfdbd21e7a593db606e4930394d7383904 | [
"Apache-2.0"
] | permissive | amitkumarj441/indy-plenum | 1f45e0c095b9aa27e8306e29c896aa1441a20229 | 7cbcdecd5e6e290530fe0d5e02d9ea70ab1c9516 | refs/heads/master | 2021-07-21T02:19:24.219993 | 2017-10-27T08:48:03 | 2017-10-27T08:48:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py |
def create_full_root_hash(root_hash, pool_root_hash):
"""
Utility method for creating full root hash that then can be signed
by multi signature
"""
return root_hash + pool_root_hash
| [
"alexander.sherbakov@dsr-company.com"
] | alexander.sherbakov@dsr-company.com |
8a2cb7352d70ac35a77a3d30b75ffdd7dd1a365c | c87df0f7ca2f118ee9167d0dd38e2017f756fc0d | /www/deploy/wsgi/prod.py | 04dad79c385aa5d5f4680a2e20a2d4381d82ff41 | [] | no_license | 3ka5-cat/trends | a5de0dd4e47aeb63ac8486f826ee970fb6c08d64 | 2ff899e86f2254213cba4e4bbdd9b9b4a4987368 | refs/heads/master | 2021-01-25T08:42:50.794120 | 2015-07-09T11:19:55 | 2015-07-09T11:19:55 | 38,866,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 684 | py | import os
import sys
sys.stdout = sys.stderr
# Set environmental variable for Django and fire WSGI handler
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
os.environ['DJANGO_CONF'] = 'conf.prod'
os.environ["CELERY_LOADER"] = "django"
from django.core.wsgi import get_wsgi_application
_application = get_wsgi_applica... | [
"antik.fnt@gmail.com"
] | antik.fnt@gmail.com |
07ea42242a1fbfdc5bfff607bf62e2431db95c88 | b363a41cc603dfdcc737bbf7abc5e96e5d651586 | /docs/conf.py | d2c5d073a5f88d60cc63666c28fe4d70404a73e2 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | davidblewett/gunny | 0514278240efb8e015314370050930ca54bd6b43 | 8f1a5e63a37349d6e59be517281d9b68fa61a0a3 | refs/heads/master | 2021-01-18T14:40:56.462948 | 2014-01-05T17:59:29 | 2014-01-05T17:59:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,326 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# complexity documentation build configuration file, created by
# sphinx-quickstart on Tue Jul 9 22:26:36 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# au... | [
"davidb@sixfeetup.com"
] | davidb@sixfeetup.com |
9ca70b73c8bf4b1c270260185396cd72a71202f1 | a8fd281b2c7336faa9df5b872b465824fe6efa68 | /lecturecode/code_lec4.py | b33b3583975d70e0df4c9ecb5d3cb49be7735b88 | [] | no_license | YangfengPeng/bcamp | b0a064b09cdf02f3378039a71c037decf39fcc98 | 9c8a555c1e58d13ea43abe9d58d61a5f02465a1d | refs/heads/main | 2023-07-05T16:29:56.331953 | 2021-09-02T12:27:34 | 2021-09-02T12:27:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,656 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 22 15:41:03 2021
@author: ruslebiffen
"""
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import statsmodels.api as sm
N1 = 100
N2 = 250
N3 = 1000
N4 = 10000
N5 = 10000... | [
"tobias_ingebrigtsen@hotmail.com"
] | tobias_ingebrigtsen@hotmail.com |
f704cf61cb51810d863d902fd775d9cbbf0da782 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02238/s136410577.py | efae5c2b562906dd438512222d9cbfb70501d96a | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 744 | py | #coding: utf-8
n = int(input())
color = ["white" for i in range(n)]
d = [[] for i in range(n)]
global t
t = 0
M = [[False for i in range(n)] for j in range(n)]
for i in range(n):
data = list(map(int,input().split()))
u = data[0]
k = data[1]
if i == 0:
start = u
for v in data[2:2+k]:
... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
4e05e1fa102d045a8e508ef349dc1f9b214b35bf | 6554be98afb33461885b5011890a19a90f53472a | /discussionwall/apps.py | 4abca3ca7be74bac1d916befda9c28a3a1b788a2 | [] | no_license | Mirror-Score/Discussion-api | 49e7d4a21827d39d82f9f76fd33ff90ecb73c3ba | 3418a415f6217a01a8bc1dfcf32dd3adac2a9493 | refs/heads/master | 2023-07-01T00:24:33.640212 | 2021-08-07T18:39:01 | 2021-08-07T18:39:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 103 | py | from django.apps import AppConfig
class DiscussionwallConfig(AppConfig):
name = 'discussionwall'
| [
"namantam1@gmail.com"
] | namantam1@gmail.com |
aa4a7a7bec6c8d765c3e813b46ac392fb2f243d9 | 98032c5363d0904ba44e1b5c1b7aa0d31ed1d3f2 | /Chapter10/ch10/race_with_lock.py | 5b939cb8db37805feba1ecc83d58524902c0916b | [
"MIT"
] | permissive | PacktPublishing/Learn-Python-Programming-Second-Edition | 7948b309f6e8b146a5eb5e8690b7865cb76136d5 | 54fee44ff1c696df0c7da1e3e84a6c2271a78904 | refs/heads/master | 2023-05-12T08:56:52.868686 | 2023-01-30T09:59:05 | 2023-01-30T09:59:05 | 138,018,499 | 65 | 44 | MIT | 2023-02-15T20:04:34 | 2018-06-20T10:41:13 | Jupyter Notebook | UTF-8 | Python | false | false | 576 | py | import threading
from time import sleep
from random import random
counter = 0
randsleep = lambda: sleep(0.1 * random())
def incr(n):
global counter
for count in range(n):
with incr_lock:
current = counter
randsleep()
counter = current + 1
randsleep()
... | [
"33118647+romydias@users.noreply.github.com"
] | 33118647+romydias@users.noreply.github.com |
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