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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
05a8d2e1001f8b597c7d47ed5c8775417ea9301a | c254cdfc532242e9fca877e94f1a5df3ae7438fa | /wide_census.py | fb2f6e9cda1f119322125000ee0ceb0473515dea | [] | no_license | fabriciojoc/tensorflow-widendeep | 50498d1aca24c79c5efaedf70f3f2fd893d5990f | 940bad1e1d2d56940d8bc5a1b76f42bdf6444044 | refs/heads/master | 2020-05-23T08:13:21.982075 | 2016-11-02T22:48:36 | 2016-11-02T22:48:36 | 70,288,048 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,177 | py | # ref: www.tensorflow.org/versions/r0.11/tutorials/wide_and_deep/index.html
import tempfile
import urllib
import pandas as pd
import tensorflow as tf
import numpy as np
##
## 1 - READ DATA
##
# temporary files for train and test
train_file = tempfile.NamedTemporaryFile()
test_file = tempfile.NamedTemporaryFile()
# ... | [
"fjoceschin@inf.ufpr.br"
] | fjoceschin@inf.ufpr.br |
8e7f462f54a5e8c377193b2b99995a768d177c25 | 88162a141dc3361bf0574b29b41096e57623d8e9 | /src/python/gjettelek/gjettelek.py | 1a26234825a987cea8aaa2609ab7add34e5498be | [] | no_license | kodeklubben/oppgaver | 8ddc14297b33518d4532fe5c90170e981a9593a0 | eb4b7d786563fc3c1d1b0324d00018198440aa1e | refs/heads/master | 2023-09-05T21:09:37.505409 | 2023-08-01T06:08:56 | 2023-08-01T06:08:56 | 17,453,180 | 43 | 196 | null | 2023-08-23T11:27:25 | 2014-03-05T19:59:03 | Python | UTF-8 | Python | false | false | 272 | py | # gjettelek.py
from random import randint
number = randint(1, 100)
guess = 0
while guess != number:
guess = int(input("Please guess a number: "))
if (guess < number):
print("Higher!")
elif (guess > number):
print("Lower!")
print("Correct!")
| [
"okpedersen@gmail.com"
] | okpedersen@gmail.com |
ba79eca0f24f1d37729244332dbcd676824f7146 | a4643b30586a66e9c7c189020bdf8d8a656215b0 | /template_day/template.py | de581a31ddd960751b69467895e491353e44ec40 | [] | no_license | Crinibus/adventofcode | db7bf6cb9098db388d2cc418ecc7df5e0f474323 | 1c81e388587fc7db3b59ec6ab6c38143880d90c9 | refs/heads/master | 2022-12-17T07:45:20.556732 | 2022-12-07T07:48:29 | 2022-12-07T07:48:29 | 225,465,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 622 | py | import pathlib
def get_input() -> list[str]:
root_path = pathlib.Path(__file__).parent.absolute()
with open(f"{root_path}/input.txt", "r") as input_file:
input_raw = input_file.readlines()
return [line.strip() for line in input_raw]
def get_answer_part_1(input_data: list[str]):
pass
def ... | [
"57172157+Crinibus@users.noreply.github.com"
] | 57172157+Crinibus@users.noreply.github.com |
37d23ae628c21b76f4715d973d1d08d02af4b6ca | 7ab15522084e2f81d39cda505da844fb4d519f9d | /Linear DS/Hard/Array Manipulation/array_manipulation.py | 965441f349f2bce6c1db189177727e984daceb2b | [] | no_license | Infinite-Loop-KJSIEIT/Algo-Talks | 1662cfd802bfbe4a9bfcf80a9c3157334e5cb4fd | 27d85ae3827f8765a4ebe98c80cc55b53c0562b0 | refs/heads/master | 2022-12-25T21:53:57.745115 | 2020-10-03T07:07:02 | 2020-10-03T07:07:02 | 286,681,402 | 13 | 3 | null | 2020-10-03T07:07:04 | 2020-08-11T07:53:23 | Python | UTF-8 | Python | false | false | 419 | py | import sys
def uno(): return int(sys.stdin.readline().strip())
def dos(): return sys.stdin.readline().strip()
def tres(): return map(int, sys.stdin.readline().strip().split())
def cuatro(): return sys.stdin.readline().strip().split()
n, m = tres()
ar, mx, sm = [0]*(n+1), 0, 0
for i in range(m):
a, b, k = tres()
... | [
"noreply@github.com"
] | Infinite-Loop-KJSIEIT.noreply@github.com |
fd6c788ba6b8318466159be137309f8ff4ea1a29 | 9f109d4d4fa2eb4ecec2415a21e45945a35cd58a | /xshop/users/tests/test_models.py | 81150f9ff1be611e68b2606f5f69d464e95e5b0d | [] | no_license | denokenya/xshop-web | 4be66a39272075b778ed7dd8de996fec90b5fab8 | 262665ec4c2cb91490b219a086b8994d6eceb805 | refs/heads/master | 2023-06-07T02:54:57.068430 | 2020-09-13T11:24:32 | 2020-09-13T11:24:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,009 | py | from django.test import TestCase
from model_bakery import baker
from ..models import User
class UserTests(TestCase):
def setUp(self) -> None:
self.user = baker.make(
User,
mobile="01010092181",
name="Ahmed Loay Shahwan",
email="ahmed@shahwan.me",
)
... | [
"ahmed@shahwan.me"
] | ahmed@shahwan.me |
2dbdd3de22cd35307bdf8d469a9124387145b253 | 2fc57e27bd74ca06a43f7ba6d192018cb282fc01 | /functions_lab_1/start_point/tests/python_functions_test.py | 6188ba6529c77b65131fa43d46a9947de6359d1c | [] | no_license | pvaliani/codeclan_hw2 | 39d59b77a6378f75eeca9f5a88afd752cf7ab095 | f5b1ef72120e6aa317b1c700b025a7f48e3cb459 | refs/heads/master | 2023-01-04T09:39:07.185893 | 2020-11-04T21:45:53 | 2020-11-04T21:45:53 | 310,092,164 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,987 | py | from src.python_functions_practice import *
import unittest
class TestPythonFunctionPractice(unittest.TestCase):
def test_return_10(self):
return_10_result = return_10()
self.assertEqual( 10, return_10_result )
def test_add(self):
add_result = add( 1, 2 )
self.assertEqual( 3, add_resu... | [
"p.valiani@gmail.com"
] | p.valiani@gmail.com |
cdbbb2e4e9b0b6b4cbd73db33338923d64f8d519 | a862bf03863411c3bdeb34a16af0f61647384172 | /utils/tests/test_utils.py | f5a4c2bbf2442581d0e25bb4e075ea662b86ed88 | [
"MIT"
] | permissive | braun-steven/torch-utils | 87765e542dc855c2a107b7c048899262a93d22be | e4a7057217de3daf7eeef144ca7b12bc909b8473 | refs/heads/master | 2022-11-28T16:14:12.072970 | 2019-09-27T11:12:02 | 2019-09-27T11:12:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,437 | py | import numpy as np
import torch
from torch import nn
import datetime
import time
import os
import tempfile
import unittest
from unittest import TestCase
from utils import (
ensure_dir,
generate_run_base_dir,
count_params,
load_args,
save_args,
set_cuda_device,
clone_args,
set_seed,
)
imp... | [
"steven.lang.mz@gmail.com"
] | steven.lang.mz@gmail.com |
2a5762a03705f381381e6c124790e7ce1ab5d662 | 93a7db386dfa0ac0dc369cc7f4b974224c801d8d | /scripts/ngram_io.py | 33d3856f68312a40f09259482de1803a86d567b5 | [] | no_license | lingxiao/good-great-combo | e051f20c89b7317a14ca5cee357bda7b095ce174 | 4d2691866bc21e2c542354ad3aae6f369eb86c87 | refs/heads/master | 2021-01-19T19:30:43.391759 | 2017-04-09T12:35:15 | 2017-04-09T12:35:15 | 83,699,772 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,764 | py | ############################################################
# Module : Open Ngram and read linguistic pattern
# Date : April 3rd, 2017
# Author : Xiao Ling, merle
############################################################
import os
############################################################
'''
@Use : Op... | [
"lingxiao@seas.upenn.edu"
] | lingxiao@seas.upenn.edu |
64801be0735e6c4264e2fcac275da94b245371ca | 2ed6ad4a736879a47d192159da45ca56610c089a | /tests/test_db.py | 22393c254cb71d6912d534a4a6399d1eabd15537 | [
"MIT"
] | permissive | poonyisaTH/gsheets-db-api | a82bd35984766697757cc96aa74a1281d948f019 | f023b32986d4da9a501fca8d435f2b6edc153353 | refs/heads/master | 2023-05-29T15:01:10.604324 | 2021-02-17T20:59:41 | 2021-02-17T20:59:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,045 | py | # -*- coding: utf-8 -*-
from collections import namedtuple
import unittest
import requests_mock
from .context import (
apply_parameters,
Connection,
connect,
exceptions,
)
class DBTestSuite(unittest.TestCase):
header_payload = {
'table': {
'cols': [
{'id': '... | [
"roberto@dealmeida.net"
] | roberto@dealmeida.net |
bd5d4faa17a341677a9d9f49921f040b2ffa8302 | 0391b9a73193e36156cd17c2f778eb03b96f575e | /seism_to_csv_Z.py | 00a5f6552ee8c47efe3c0ac2d693281b17f5f51c | [] | no_license | xian-ran/anisotropy_nn | 0349565eafef87c2ab32ff59859409520e5c8bc7 | 65bee9be0673a48bfd87774c1d1b8b2a90ec8541 | refs/heads/master | 2022-04-05T17:07:33.910285 | 2020-02-18T17:05:21 | 2020-02-18T17:05:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 574 | py | # Z-component
# column -- timesample, row -- trace
import obspy
import numpy as np
import pandas as pd
st = obspy.read('model_1\\model+GathNP-Z.sgy')
N_traces = len(st)
N_timesamples = len(st[0])
for i in range(1,1101):
print('\t',i,'\t/\t1100')
st = obspy.read('model_{}/model+GathNP-Z.sgy'.form... | [
"noreply@github.com"
] | xian-ran.noreply@github.com |
4558b73f4309e412016f5c1d22d3652908e71d01 | c2c84c98f2247f2a9fe280e41f3a4dc74fd4de1a | /online/analyses.py | 73a0d03dbb5a0da0b17ff4129ab1c019baf63cab | [
"MIT"
] | permissive | mrware91/tmolv29 | 153ded42ee190287442330943a2a9c51d8e55243 | 823321f2505b684e9fd1de1c01f4e46997f1e307 | refs/heads/main | 2023-04-06T13:55:09.926010 | 2021-04-14T14:26:05 | 2021-04-14T14:26:05 | 347,172,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,299 | py | # Contributors: Matt Ware
import numpy as np
class analyses:
def __init__(self, analysis, totalEvents,printMode='verbose'):
self.analysis = analysis
self.totalEvents = totalEvents
self.events = 0
self.printMode = printMode
self.data = {}
self.dataTypesFound = False
... | [
"mrware91@gmail.com"
] | mrware91@gmail.com |
c4d693a018899753b9d47f6da7643ece8efb4bfe | 10fbe5526e5f0b8588b65f70f088cd86b6e9afbe | /irmtbds/migrations/0002_auto_20150218_1621.py | 3c05b27f5b6c037590a673b577c9744a196e934f | [] | no_license | MarkusH/django-migrations-benchmark | eb4b2312bb30a5a5d2abf25e95eca8f714162056 | e2bd24755389668b34b87d254ec8ac63725dc56e | refs/heads/master | 2016-09-05T15:36:45.250134 | 2015-03-31T23:44:28 | 2015-03-31T23:44:28 | 31,168,231 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 502 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('irmtbds', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='rqzheruyb',
name='xk... | [
"info@markusholtermann.eu"
] | info@markusholtermann.eu |
45cd907e8bb791d0ec58d64af91e6306665a8ab2 | 70b8b109d389037c31ca74ddbdabcb838a6026a5 | /password_generator_app/views.py | 79a3ff9c71d951811dc053d51060311a525e3bf4 | [] | no_license | arnidhar/django3-password-generator | 25dc8906d08f2f10e5a3a2093f2d6331f1ed4096 | ee9746c05e3cdaa029814e60b48a10adcd988353 | refs/heads/main | 2023-07-20T20:15:33.804435 | 2021-09-01T18:15:19 | 2021-09-01T18:15:19 | 402,163,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 991 | py | from django.shortcuts import render
from django.http import HttpResponse
import random
# Create your views here.
#def home(request):
#return HttpResponse('<h1> Hello! Welcome to the website! </h1>')
def home(request):
return render(request, 'password_generator_app/home.html', {'password': ''} )
def about(r... | [
"arnidhar97@gmail.com"
] | arnidhar97@gmail.com |
08e93077ca5d190a72f22f0dde55519979a6b6a6 | 3e0341c10981b49d15c3fb458f63de59357a821b | /venv/bin/wheel | 51ea28c4f7ad7e6fa3b4354fa985621d1b4b0ebb | [] | no_license | sagarsmn331/meon-task3 | 555f0562c036693b8e728946e01e213d1e3bdf8a | 18c2e8389ee8d2bbbe18e506ccbb6d003c4ed2cf | refs/heads/master | 2022-12-02T11:54:03.125091 | 2020-08-18T11:28:35 | 2020-08-18T11:28:35 | 288,436,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 229 | #!/home/sagar/meon5/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"sagar.innotical@gmail.com"
] | sagar.innotical@gmail.com | |
e86b129bd4a1c5aa43609bb6c91a77d19a9d689e | eb861e71ac828c01fa672acb8f69139d76f78981 | /examples/nodeproppred/arxiv/ReLU.py | b6a73c6e4417bbf8c31bdce00c32bbddaa2aa930 | [
"MIT"
] | permissive | yifeiacc/ogbExperiment | d1ea20104886be5aa5a85ad97e6810597ea481a3 | 3b1dffd80c27b7f85101afa515461f327b87a6b2 | refs/heads/master | 2023-02-07T04:25:44.783600 | 2020-12-29T08:46:41 | 2020-12-29T08:46:41 | 325,198,626 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,215 | py | import torch.nn as nn
from torch_geometric.nn.conv import MessagePassing
from torch.nn import Parameter
from torch_geometric.nn.inits import glorot
import torch
from torch_geometric.utils import remove_self_loops, add_self_loops, softmax
from torch import Tensor
from torch_sparse import SparseTensor, set_diag
import to... | [
"yifeiacc@gmail.com"
] | yifeiacc@gmail.com |
8ce03b3371e6d779882789bcd8cb8042ee53e469 | 0c60cb4fdb2c6ad2992dc744d74218b0c2d5bb31 | /3/1.py | 38021d74e97611ea18ef3a4596068498e6378b8a | [] | no_license | vojtechcima/aoc2016 | 8b59ff1c28b23a7f8a358f6980325564e4cf820f | a9ff55f0a365a3a2cc5dd818eb8640d775950b74 | refs/heads/master | 2020-06-15T13:42:01.592624 | 2016-12-08T09:35:55 | 2016-12-08T09:35:55 | 75,288,226 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 503 | py | def read_lines(path):
with open(path, "r") as f:
lines = f.readlines()
return lines
def parse_line(line, delimeter=" "):
return [int(x.strip()) for x in line.split(delimeter) if x]
def triangle(l):
print l
for i in range(3):
if l[i % 3] + l[(i + 1) % 3] <= l[(i + 2) % 3]:
... | [
"cima.vojtech@gmail.com"
] | cima.vojtech@gmail.com |
ae57b70ed6eda0f92b39385332ced1e0fcf017ea | a98947b0dee48d5a014db44f31889ac6cf3a1107 | /LD_GAMP_R/Test_LD_GAMP_R.py | cafeae2093acc0ee15c0b95649b1307984d078e3 | [] | no_license | PeiKaLunCi/LD-GAMP | bc00139b71ba092f63fe85c60b08101fa32063a8 | 455da27f00c752531cb4531dcb282f2d8cb1f9e2 | refs/heads/master | 2020-12-15T21:16:26.416264 | 2020-03-07T14:43:45 | 2020-03-07T14:43:45 | 245,648,986 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 11,546 | py |
import time
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
import LD_GAMP_R as LD_GAMP_R
import random
import h5py
#np.set_printoptions(threshold=1e10)
## Network Parameters
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
alg="GAMP"
tie_weights=False
height_img = 256
width_img = 2... | [
"695865444@qq.com"
] | 695865444@qq.com |
d605544bb5bd4b5f2f891b75f75930b2d21e7fe4 | 048df2b4dc5ad153a36afad33831017800b9b9c7 | /atcoder/agc008/agc008_c.py | 01428e6976f334cebf389e5e84a0a5f947a48943 | [] | no_license | fluffyowl/past-submissions | a73e8f5157c647634668c200cd977f4428c6ac7d | 24706da1f79e5595b2f9f2583c736135ea055eb7 | refs/heads/master | 2022-02-21T06:32:43.156817 | 2019-09-16T00:17:50 | 2019-09-16T00:17:50 | 71,639,325 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 276 | py | a, b, c, d, e, f, g = map(int, raw_input().split())
if a > 0 and d > 0 and e > 0:
ans1 = b + a / 2 * 2 + d / 2 * 2 + e / 2 * 2
ans2 = b + 3 + (a-1) / 2 * 2 + (d-1) / 2 * 2 + (e-1) / 2 * 2
print max(ans1, ans2)
else:
print b + a / 2 * 2 + d / 2 * 2 + e / 2 * 2
| [
"nebukuro09@gmail.com"
] | nebukuro09@gmail.com |
8e0fdec3518e0ed5c1d564e69641dbdf3e33a918 | 9b617d281d83880d385a57809c4cafd55024d516 | /manage.py | ca0d6f3d331fffa4ace90b822a09041b6d37c7af | [] | no_license | crowdbotics-users/wwickey-crowdbotics-164 | 3df5074f39dc34de2def1bde928f523391942689 | 909b185e528f60b9258b317f7c26b35e791d8685 | refs/heads/master | 2020-03-16T12:02:27.614606 | 2018-05-08T20:01:05 | 2018-05-08T20:01:05 | 132,658,449 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 821 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "wwickey_crowdbotics_164.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. ... | [
"sp.gharti@gmail.com"
] | sp.gharti@gmail.com |
5d8f1425b2fad2472d4c17f7052ec4d9db036f97 | 0e0cfb81069fda8cf67561b91cd4968f8e5c3d0d | /Actividad Teoria - Entrega 3 Mayo/src/windows/menu.py | 71a6aad03a52f961be8c5255322f42d246454901 | [] | no_license | juliermili/seminario | 919a555567c0e44e64ea5eb0591677425d26abb6 | 2fc2be8e8d1a7d060c20a6b07e8df03aacb5e62c | refs/heads/master | 2023-04-23T20:03:54.988819 | 2021-05-03T03:39:20 | 2021-05-03T03:39:20 | 352,199,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 296 | py | import PySimpleGUI as sg
def build():
layout = [
[sg.Button('Data1', size=(50, 2), key="-DATA1-")],
[sg.Button('Data2', size=(50, 2), key="-DATA2-")],
[sg.Button('Salir', size=(50, 2), key="-EXIT-")]
]
menu = sg.Window('menu').Layout(layout)
return menu | [
"juliermili@gmail.com"
] | juliermili@gmail.com |
eda512e915db0b90dc647c7c5544c47aa6875d2b | 99bb3ef44a1c0727017aab5a9161c0ffbb333c86 | /hdl_comments.py | 2588175449fc6768f253dd68f0156ce19f170cdb | [
"MIT"
] | permissive | rdustinb/GAPy | 7c35c73c89e85ad40fce99d18e2ba129b2439683 | 3caf19daee229636ed6fc2feac202cbdad8557cb | refs/heads/master | 2022-08-09T18:24:46.595695 | 2022-07-26T16:51:04 | 2022-07-26T16:51:04 | 44,443,126 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,695 | py | import sys, getopt, os
from termcolor import colored, cprint
def main(argv):
"""
Main Script Execution Point
"""
directory = ''
singlefile = ''
ignorestart = 'NaN'
try:
opts,args = getopt.getopt(argv, "hf:d:i:")
except getopt.GetoptError:
print('python hdl_comments.py -f <filename>')
prin... | [
"dustin.brothers@icloud.com"
] | dustin.brothers@icloud.com |
727df59b7e7d7e6f5d0fe4af8ed16d4cd63151dd | 0459eca6819b9a57a7fc388ee626fbcece9e6c90 | /projet_st.R | 941c8b00513acd02e1cda0a3404be7fc97b5a664 | [] | no_license | Orlogskapten/Vectoriel_auto_regressif | c3138ee88b05f1765cfb43941061e675ad984356 | 09782d9d33d9dc387d22c16803d14ffa7f78145a | refs/heads/master | 2022-12-01T23:11:59.502390 | 2020-08-13T07:31:51 | 2020-08-13T07:31:51 | 287,211,705 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 44,876 | r | #!/usr/bin/env python
# coding: utf-8
# # Projet d'analyse de séries temporelles
#
# En colaboration avec :
#
# - [Paul Leydier](https://github.com/pleydier)
#
# - [Damien Raimond](https://github.com/dams-lab/)
#
# - [Wenceslas Sanchez](https://github.com/Orlogskapten)
#
# ---
#
# Le but du projet... | [
"noreply@github.com"
] | Orlogskapten.noreply@github.com |
15255dffd47f10b3f99409f7b5dea95315005ab9 | fb8cbebdf034b2f478943752d5443afc82c6eef5 | /tuirer/users/models.py | a3a6f2b88a946f2a8ca0ab80decd3e78a3924509 | [] | no_license | fariasjr/CitiTuirer | f64e0ec93ef088f8140bb0961d2ad4ed3b59448a | deb3f7a9c2d45b8a7f54639037f097b99abdac11 | refs/heads/master | 2020-03-24T05:10:36.261050 | 2018-08-01T20:24:30 | 2018-08-01T20:24:30 | 142,477,521 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | from django.contrib.auth.models import AbstractUser
from django.db import models
class User(AbstractUser):
picture = models.ImageField('Fotode perfil', default='/img/blank-pic.png')
following = models.ManyToManyField('self', blank=True) | [
"jornadaciti@ug4c08.windows.cin.ufpe.br"
] | jornadaciti@ug4c08.windows.cin.ufpe.br |
effb3ee7b4162231d120df597dc22d67af06d86a | 36aa9e4268394b23826abf20c64bcb9821c102c3 | /FTP_downloadBinFile.py | 47266e801cea51b5fa01fec2e11bd889a868b22e | [
"Apache-2.0"
] | permissive | ChenSunMac/BlueNose_ToolKit | 011b3ad0fd1c9eb5eb206f26f66a798518ebb3df | edd4fbc0e13903c591f156d673d584551403905c | refs/heads/master | 2021-09-15T04:10:55.561165 | 2018-05-25T14:19:51 | 2018-05-25T14:19:51 | 108,892,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,555 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 2 11:08:02 2017
@author: Chens
"""
import ftplib
import os
import socket
#HOST是远程FTP地址
HOST = '222.222.444.92'
DIRN = 'hcjy/css/'
def main():
try:
f = ftplib.FTP(HOST)
except ftplib.error_perm:
print('无法连接到"%s"' % HOST)
return
print(... | [
"chensunmac@gmail.com"
] | chensunmac@gmail.com |
6c9b764a14bf8bfa12a485be883a1637e1498062 | 8efe1f1ea1a9ac81b8abc261aae0a8084131b478 | /utility/get_korea_stock_code_list.py | c7f6113b033b39f2293a5738c3d698a82af033f2 | [] | no_license | linanzhu/TradeBot | 8de6befd715724ff5602b5dc71c89132b0cf0cca | a9b08fc48d2ad4b5e27c92c72968a88eed191acf | refs/heads/master | 2020-03-18T17:47:48.062419 | 2018-05-27T14:30:13 | 2018-05-27T14:30:13 | 135,051,225 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,034 | py | # -*- coding: utf-8 -*-
# 다음은 주식알고리즘 전문회사 사이트이다
# 상장 주식들의 코드를 제공한다.
# http://bigdata-trader.com/itemcodehelp.jsp
# Install해야 할 package들
# : pip install lxml
# : pip install html5lib
# : pip install beautifulsoup4
import os
import numpy as np
import html5lib
import pandas as pd
if float(pd.__vers... | [
"noreply@github.com"
] | linanzhu.noreply@github.com |
07d46fef45ca10f86c44bdf72420c66f478bbe99 | 032edbd5eccee1896a207f6e0b0ba1d026d4e984 | /basics/threads.py | 86d4e0ae8c859f7bfd652c9ccc8e1ee29e98a117 | [
"MIT"
] | permissive | grzesk075/PythonSandbox | 95812a69e1b53e1faea574c10ec8db6fc79a58d2 | 9fa879b4a15a971258c458bbfe55c7a899c95ce5 | refs/heads/master | 2021-06-10T11:35:06.781026 | 2019-11-20T14:10:18 | 2019-11-20T14:10:18 | 156,559,088 | 0 | 0 | MIT | 2021-04-20T17:46:55 | 2018-11-07T14:31:11 | Python | UTF-8 | Python | false | false | 547 | py | import threading
import time
# import queue - designed for inter-thread communication and synchronization
class AsyncPrinter(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
def run(self):
for i in range(20):
time.sleep(0.01)
print('Async:... | [
"grzegorz.kuprianowicz@tomtom.com"
] | grzegorz.kuprianowicz@tomtom.com |
c36c3e33fb0f68a51c3042802b366cdc95ddec55 | a22661610155c1c144f082b6ba4c7d935eeddbd6 | /tests/test_user_model.py | 675e627af78865e3c33ce1130e2919e69658d214 | [] | no_license | gerocha/petshop | 7d21b746f83549671033ab772eaa652861791063 | 7e0b64e002c05ed4a9b17b59196fa55ed040df82 | refs/heads/master | 2020-03-28T09:48:51.764661 | 2018-09-23T01:19:14 | 2018-09-23T01:19:14 | 148,061,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | from petshop.user_model import authenticate, get_user
def test_authenticate_existing_user_should_return_user(user_batima):
auth = authenticate(username=user_batima['username'],
password=user_batima['password'])
assert auth is not None
def test_is_correct_password_with_correct_passwo... | [
"gel@leandro@alertaapp.com.br"
] | gel@leandro@alertaapp.com.br |
4a0bcf2cba4fcc37359b3360e26fdc69ed83fda6 | e75f01e5db9239e637879c0dda03ce5254b14466 | /fls/migrations/0016_auto_20190321_2317.py | 086b104a3e567a4493465592b06fa92cb12ad32b | [] | no_license | Korgutlova/diploma | b90b49fd6c2f2d2f36d6ae84b937821e9ae31dc3 | cee5759a33330627d2b0927937138c128da4d368 | refs/heads/master | 2020-04-23T18:24:46.931706 | 2019-06-26T06:00:35 | 2019-06-26T06:00:35 | 171,366,047 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 541 | py | # Generated by Django 2.1.7 on 2019-03-21 20:17
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('fls', '0015_auto_20190319_2338'),
]
operations = [
migrations.AlterField(
... | [
"iashevyakov@mail.ru"
] | iashevyakov@mail.ru |
b4d01dd3705d74d25a15957865fcbc913580986c | 36afa271f080459adf1014cd23f4be9f954dfee6 | /Crawler/Course/第八章：scrapy框架/sunPro/sunPro/spiders/sun.py | 35ab678e80afc0bf5d06d12f11a75a5455738471 | [] | no_license | King-Of-Game/Python | b69186a7574ce1c0b7097207cfe9a2eb38a90bc0 | 643b9fd22efd78f6679735f23432943a57b5f5bb | refs/heads/master | 2023-05-25T05:35:14.473114 | 2021-10-24T12:52:21 | 2021-10-24T12:52:21 | 151,251,434 | 3 | 0 | null | 2023-05-01T20:51:50 | 2018-10-02T12:34:04 | HTML | UTF-8 | Python | false | false | 2,909 | py | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from sunPro.items import SunproItem
from sunPro.items import DetailItem
# 需求：爬取小说分类、名称、人气、简介
class SunSpider(CrawlSpider):
name = 'sun'
# allowed_domains = ['www.xxx.com']
sta... | [
"871437338@qq.com"
] | 871437338@qq.com |
522f3091c7930ae3db3d74832d60772a6e40c0df | 4eb4a51464a1c6f1729a92e7dabc4b6e747c23e5 | /tests/python/test_copy.py | bdcd4f6325adcb2e1c4e2989e555478273b0293f | [
"BSD-3-Clause"
] | permissive | LongyanU/psvWave | b8ae7cd8024f940affa0d259fe27bc8582393f65 | 2caf2d5018a7f80ecb645640c8564afb52883819 | refs/heads/master | 2022-11-09T01:31:30.150963 | 2020-07-03T09:54:59 | 2020-07-03T09:54:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 583 | py | import psvWave
import numpy
def test_copy():
model = psvWave.fdModel(
"../../tests/test_configurations/default_testing_configuration.ini"
)
model2: psvWave.fdModel = model.copy()
def test_copy_modify():
model1 = psvWave.fdModel(
"../../tests/test_configurations/default_testing_confi... | [
"lars.gebraad@erdw.ethz.ch"
] | lars.gebraad@erdw.ethz.ch |
68f3c986ea57a2c8867a281c046b02f3481a1037 | 3ef6eb6071c2de6c7e9139de1c8c1da09cc222dc | /generate_tfrecord.py | 2890689a6b85655da46ec08e9394f0db8a8bb8c4 | [] | no_license | MoGaber/segmentation-of-planes-satellite-imagery-satellogic | c2e4f336bbb3829a8086b53a340065cfe8a9a311 | 06a4ef36baf08704b36e633d50219fa12df6c058 | refs/heads/master | 2023-04-15T19:38:39.640901 | 2021-04-24T02:06:18 | 2021-04-24T02:06:18 | 298,437,303 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,483 | py | """
Usage:
# From tensorflow/models/
# Create train data:
python3 generate_tfrecord.py --csv_input=data/train_labels.csv --output_path=data/train.record
# Create test data:
python generate_tfrecord.py --csv_input=data/test_labels.csv --output_path=data/test.record
"""
from __future__ import division
from _... | [
"gaber@minerva.kgi.edu"
] | gaber@minerva.kgi.edu |
2c56642bd2995c1960d44d3ecaf052abec1da8d3 | 208fc53e55e88b94aec48b0f1a9c13d19793bc0e | /assignment_1/problem2.py | bb967b7d93d18ebcb82e3e992ff6b6acece2e4c7 | [] | no_license | YixueWang/Priniciples-of-Informatics | 8810e6753b698c431ce8426593e00d9c312ec932 | 1d0c25e55bce934043080605e7349a8d58cb518e | refs/heads/master | 2021-01-10T14:35:10.516388 | 2015-12-03T21:14:40 | 2015-12-03T21:14:40 | 47,356,115 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 220 | py | import sys
import pandas as pd
file1 = open(sys.argv[1])
df = pd.DataFrame.from_csv(file1)
a = set(df['Complaint Type'])
b = list(df['Complaint Type'])
for n in a:
print str(n) +' with '+ str(b.count(n)) +' complains' | [
"yw1819@nyu.edu"
] | yw1819@nyu.edu |
605b69b97d71ca06ff53108fa17904b0d3e284f3 | e9ceaa0bb091c189373ac0c70a545bca5791d50d | /egg_timer_2.py | feffa178e94448820d73a59289c40ae4f4105fe6 | [] | no_license | oupofat/lesson-one | 5a967a14a68175ddde4b6f4e77d0a068e8ad8262 | 8fa591fc4be08ccd4eb0bb01a72eaa5795eb295a | refs/heads/master | 2021-05-01T21:24:38.509955 | 2018-02-10T02:18:29 | 2018-02-10T02:18:29 | 120,976,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 325 | py | '''It takes 2 eggs to make 5 pancakes. Ask the user how many pancakes they want to make, and tell them how many eggs they need. Decimals are okay.'''
pancakes = float(input("How many pancakse do you like"))
eggs = 2/5
eggs_uses = eggs * pancakes
print ("you will need",eggs_uses,"eggs to make this many",pancakes... | [
"noreply@github.com"
] | oupofat.noreply@github.com |
ea9e7a8b99cd02b1f71e0f5c2c419a055b084728 | fe0bca3fcf363ebc465fcc370e77b55df1cfaaa7 | /src/route/work_viewer.py | f79466d814c37cc4151ac1ca0217dbe9d45950dc | [] | no_license | sihcpro/todo-list | 66847aece556fe45223b98ecc44f04bbaaf17b55 | 1db48a63e9f4d309d57baeca691f6e85c36866a6 | refs/heads/master | 2022-11-17T14:34:20.316901 | 2020-07-14T10:16:18 | 2020-07-14T10:16:18 | 279,233,154 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,661 | py | import calendar
from datetime import timedelta
from sqlalchemy import Date, and_, cast, or_
from .data_define import ShowWorkData
from .resource import WorkResource
def configWorkViewer(Domain):
session = Domain.session
def getValidatedDate(param):
date_data = ShowWorkData(
from_date=par... | [
"tvquocchi@gmail.com"
] | tvquocchi@gmail.com |
14c8a651775fd01a8b08f03a40c76e197beaee1c | 0118285a9feed3693f36659ac7646ab38b931f54 | /satapp/wsgi.py | 453bb017b0b3e60101701ba05b00cbd197164e0f | [] | no_license | jdobes/openshiftplayground | 6a4513ec10db2d74b06fcbe0c1270149e67be17a | 5ec5bb85bca0e8d4b4e8816cff66bbd249e9c5ae | refs/heads/master | 2021-08-29T23:52:25.929976 | 2017-12-15T10:20:26 | 2017-12-15T10:20:26 | 111,908,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,079 | py | import ujson
import falcon
import errata
DB_HOSTNAME = "postgresql-slave"
EXAMPLE_MSG = "Example:\ncurl http://<FQDN>/errata?pkg=<nvrea>\n"
cursor = errata.init_db(errata.DEFAULT_DB_NAME, errata.DEFAULT_DB_USER, errata.DEFAULT_DB_PASSWORD,
DB_HOSTNAME, errata.DEFAULT_DB_PORT)
class Test(obje... | [
"jdobes@redhat.com"
] | jdobes@redhat.com |
ba11745933fa5c61976989834c195771c5305183 | 0aa5187e4bfa91434ac8446aced2763faac0d3b9 | /numerical_analysis.py | c55bc690f55acc5d99b5d9512e011575833495de | [] | no_license | nadavpo/real_fake_im_classifier | 889879ef26e74fe686ade52372b7697cb41c732c | 597bad2b3699fad8c629c6217db68a390d0f6adb | refs/heads/main | 2023-09-04T22:43:34.230129 | 2021-11-17T18:31:07 | 2021-11-17T18:31:07 | 428,213,391 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,097 | py | """Plot ROC and DET curves."""
import os
import argparse
import torch
import scipy.stats as sp
import matplotlib.pyplot as plt
from sklearn import metrics
from torch.utils.data import DataLoader
from common import FIGURES_DIR
from utils import load_dataset, load_model
device = "cpu"#torch.device("cuda:0" if torch.... | [
"noreply@github.com"
] | nadavpo.noreply@github.com |
77d3ccb4fbb606e29dc100993d9286af9143d806 | f00767fdeed6bfa8b12f6900b9f9bd5c70786895 | /models/base_db.py | b9ec16abf725b932e97446cf9463b303db180b0b | [] | no_license | guoyu07/domain_whois_query | de22cb5d83db2441ba512935fd7f3ed5c158997a | c70b52f2b9306e4b9ead273de279cd149052623f | refs/heads/master | 2020-12-07T06:24:57.907042 | 2015-11-29T00:53:31 | 2015-11-29T00:53:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 313 | py | # encoding:utf-8
"""
操作数据库基础类
"""
import torndb
class BaseDb(object):
def __init__(self):
self.db = torndb.Connection(
host="172.26.253.3",
database="DomainWhois",
user="root",
password="platform",
charset="utf8"
)
| [
"mrcheng0910@gmail.com"
] | mrcheng0910@gmail.com |
3e98058f7493b2f337bc4cd0732597063e4222b7 | c5231cd5696c4c036723e9c36110cf6da9b0fc8f | /ui/testDialog.py | 59f10c203e43cb0764b56dec160c3c9ff7a77422 | [] | no_license | kubaz122/Cristal | 26afc0bc6619ce3cc01b785f7f34b0d59cbf03d9 | 7b2adf00608b96e90fa2c7a2c915167b1d0efaec | refs/heads/master | 2020-12-27T15:57:32.644733 | 2020-02-03T16:40:31 | 2020-02-03T16:40:31 | 237,890,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,888 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/zielak/BlackDev/BlackDevUnpack-zqcazfqpyi/usr/src/cristal/ui/testDialog.ui'
#
# Created by: PyQt5 UI code generator 5.13.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui... | [
"blacksoft@int.pl"
] | blacksoft@int.pl |
bfc0eb29f275677c7395aadbfec57e0cf384125f | 416753425946c580d452bfe0eb86563230e7d01b | /app_blog/tests_model.py | cc1c66310038afb71bc8f2a6b5b7e33fc9072dd9 | [] | no_license | UADesant/myblog | 79404a0be206b1b57b71f37478b2ef1b1d27c362 | 68256f2847a6e9e3fcb2e3398d050cfd1c4b1bb4 | refs/heads/master | 2023-04-17T10:20:47.365102 | 2021-05-07T09:28:31 | 2021-05-07T09:28:31 | 359,869,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 504 | py | from django.test import TestCase
# Create your tests here.
from .models import Category
class CategoryModelTest(TestCase):
@classmethod
def setUpTestData(cls):
# Set up non-modified objects used by all test
Category.objects.create(category='Innovations', slug='innovations')
def test_ge... | [
"makc.dudar@gmail.com"
] | makc.dudar@gmail.com |
30a88e9a85e870ada62701b27587c4a9ba59ba65 | a5b43123d91d23581ae1f1cc725d7b004a4caa25 | /python/counting rock samples.py | 53f459ff4dba284ce0183deb39eef9b2e3a04b37 | [] | no_license | ivan570/code | 376001416a01f0a870a0d73796f1a61dd3bfe958 | e5a8e9bf7c9ea27b070ca3f351bb54cb16ce0317 | refs/heads/main | 2023-05-23T04:48:30.477060 | 2021-06-11T15:50:30 | 2021-06-11T15:50:30 | 330,686,610 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 325 | py | from collections import Counter
S, R = map(int, input().split())
sample = list(map(int, input().rstrip().split()))
p = dict(Counter(sample))
for _ in range(R):
start, end = map(int, input().split())
c = 0
for i in range(start, end + 1):
if p.get(i) is not None:
c += p.get(i)
print... | [
"ivankshu@gmail.com"
] | ivankshu@gmail.com |
7d31fe18877c6078bd75cf9d7badeddd503d0e55 | 0466559817d3a1be9409da2c83db99c4db3bacfe | /hubcheck/shell/container_manager.py | 0d0d575c450a0cd9d608a7c9e7729ac697b061c0 | [
"MIT"
] | permissive | ken2190/hubcheck | 955cf9b75a1ee77e28256dfd3a780cfbc17de961 | 2ff506eb56ba00f035300862f8848e4168452a17 | refs/heads/master | 2023-03-20T15:17:12.949715 | 2015-09-29T16:11:18 | 2015-09-29T16:11:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,451 | py | from .toolsession import ToolSession
from hubcheck.exceptions import ConnectionClosedError
from hubcheck.exceptions import SessionCreateError
import logging
import pprint
import re
import hubcheck.conf
class Singleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._insta... | [
"telldsk@gmail.com"
] | telldsk@gmail.com |
d92f30b3e758222776245aa95fcb11704d4d7d8b | 9272584f18cdc8450713b2376fef966934f3fd3e | /starblock/starblock.pyde | c8bf8e37339c6b6f39cc330a7547603edd25f169 | [] | no_license | FranciscoPython/TamashiVR | ff949ad610ba5f2f870ab9438a2fd89d85079ae0 | 403461bea9f0cff785308089ca2ad69be927697b | refs/heads/master | 2020-12-22T15:26:54.250975 | 2020-03-02T13:14:20 | 2020-03-02T13:14:20 | 236,840,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,105 | pyde | key_mode = 1
padpos1 = 0
x = 10
def frame():
fill(145)
rect (0, 0, 500, 500)
def Innerframe():
fill(45)
rect (10, 10, 480, 480)
padpos= -10
def paddle():
fill(255)
circle(padpos , 460 , 20)
circle(padpos + 20 , 460, 20)
rect(padpos, 450 , 20 , 20)
def set... | [
"noreply@github.com"
] | FranciscoPython.noreply@github.com |
75750e2d778d9088cc0aa9d4e0a9b23d245d0029 | 7041c85dffb757c3e7063118730363f32ebb9b8a | /프로젝트/20190111/open_api.py | af937d2499eb4c1f56272d6930b3d2c64641b4f6 | [] | no_license | woonji913/til | efae551baff56f3ca16169b93185a65f4d81cd7a | a05efc68f88f535c26cb4d4a396a1e9cd6bf0248 | refs/heads/master | 2021-06-06T23:17:54.504620 | 2019-06-19T04:29:18 | 2019-06-19T04:29:18 | 163,778,844 | 1 | 0 | null | 2021-05-08T16:27:17 | 2019-01-02T01:08:19 | HTML | UTF-8 | Python | false | false | 1,240 | py | import requests
from bs4 import BeautifulSoup
import csv, datetime, os
date = datetime.date(2019, 1, 13)
weeks = datetime.timedelta(7)
movies = []
check = set()
key = os.environ['KEY']
for i in range(10):
current = date - weeks * i
url = f'http://www.kobis.or.kr/kobisopenapi/webservice/rest/boxoffice/searchW... | [
"johnnyboy0913@gmail.com"
] | johnnyboy0913@gmail.com |
60fda27af18dd2cb7d19ba6fa1c357da127acf69 | 45f1501f28d71510237b51f66a215cdc7779cdab | /klinik/klinik/settings.py | 07f4c10a354037ca33dfe332af832827230cb88a | [] | no_license | Aldodev01/Django-Crud | 809def1faa51679f46315080df9a4851f37c3830 | 9ed4844e85a09eba3db464e1c8064496dc195ef1 | refs/heads/master | 2023-03-10T02:20:53.491501 | 2021-02-28T02:34:46 | 2021-02-28T02:34:46 | 343,004,618 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,269 | py | """
Django settings for klinik project.
Generated by 'django-admin startproject' using Django 3.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathlib ... | [
"aldodevox@gmail.com"
] | aldodevox@gmail.com |
0f062cc01fbb6a98530d53acaacf401676251db0 | 921fb4c92c8c17f362f74bda23cfa8570495aba2 | /Fight.py | fe99825860bd9c09fe22e4145d0a792e13238050 | [] | no_license | jamestyhurst/Europa-Barbarorum | b3e652559110e1e4f4c97a342b44592bafa52020 | c34015028f69a553429d43b9852620d8e8dacd87 | refs/heads/master | 2021-01-01T02:42:10.946861 | 2020-02-24T07:06:42 | 2020-02-24T07:06:42 | 239,145,713 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36 | py | #Fight.py, File for combat functions | [
"JamesCTyhurst@gmail.com"
] | JamesCTyhurst@gmail.com |
d1597ffd8c87152ec49b9949a7de3ec827c5d1d4 | 1d928c3f90d4a0a9a3919a804597aa0a4aab19a3 | /python/matplotlib/2017/12/setupext.py | 2868fd76aee773dc4d8d576d9dfe80e8c6cca6b4 | [] | no_license | rosoareslv/SED99 | d8b2ff5811e7f0ffc59be066a5a0349a92cbb845 | a062c118f12b93172e31e8ca115ce3f871b64461 | refs/heads/main | 2023-02-22T21:59:02.703005 | 2021-01-28T19:40:51 | 2021-01-28T19:40:51 | 306,497,459 | 1 | 1 | null | 2020-11-24T20:56:18 | 2020-10-23T01:18:07 | null | UTF-8 | Python | false | false | 68,786 | py | from __future__ import print_function, absolute_import
from importlib import import_module
from distutils import sysconfig
from distutils import version
from distutils.core import Extension
import distutils.command.build_ext
import glob
import multiprocessing
import os
import platform
import re
import subprocess
from... | [
"rodrigosoaresilva@gmail.com"
] | rodrigosoaresilva@gmail.com |
d17f6b1a279af3be2139adc5998d5a7d115792ec | ea659b7456912bd1d05c5e0c051674d3eafa2af5 | /cmproject/settings.py | cc4cde58f9cf122938e507b07048da1a689fd6d9 | [] | no_license | pablomonteiro/cmproject_horaextra | e78dcfba04ee9a5d16ef5cca888748e6da63d3cb | 769be04e4c616d12044b61ada279552867138005 | refs/heads/master | 2021-02-10T21:10:20.975535 | 2020-03-02T19:02:48 | 2020-03-02T19:02:48 | 244,419,726 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,144 | py | """
Django settings for cmproject project.
Generated by 'django-admin startproject' using Django 1.11.27.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import... | [
"pablomf84@gmail.com"
] | pablomf84@gmail.com |
b313a40665834fa373eb35ee42a45551315f5bcc | 60e27db34568fbb042ebc1209a80a69ca244de0c | /resources/lib/common/constants.py | 9fea76c391c544a3ee0a8b543751cf7d39c9cd57 | [] | no_license | Prometheusx-git/plugin.video.unofficial9anime | 425f3fce1e299c06e96b873567a42e4b4f2c9c25 | 9ea5c5bde3337fadc3bde4e915db0f8efcfc2e9c | refs/heads/master | 2021-01-01T06:30:31.144584 | 2019-03-20T08:49:23 | 2019-03-20T08:49:23 | 97,443,808 | 7 | 2 | null | null | null | null | UTF-8 | Python | false | false | 7,607 | py | # -*- coding: utf-8 -*-
'''
The Unofficial Plugin for 9anime, aka UP9anime - a plugin for Kodi
Copyright (C) 2016 dat1guy
This file is part of UP9anime.
UP9anime is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
... | [
"prometheusx@gmx.de"
] | prometheusx@gmx.de |
72dff18867a5ecc45e8a6feb50567cf3be592ed6 | 6c951ca04d6c0db92b05972d651d370302d98a2c | /tests/test_sensitivity_analyzer.py | 35a1db44b33b09a91687ae8644cb8603a1c9727c | [
"MIT"
] | permissive | nickderobertis/sensitivity | 9309bba0aadbac6e8dba09e7c7b1477d063a6d6d | 8f0d0e676213772bdb8cbc8c6fc08fdba6dc6b53 | refs/heads/master | 2023-02-23T20:33:45.118907 | 2022-10-09T01:17:01 | 2022-10-09T01:17:01 | 239,607,375 | 12 | 0 | MIT | 2023-02-11T02:07:41 | 2020-02-10T20:33:30 | Jupyter Notebook | UTF-8 | Python | false | false | 2,995 | py | import uuid
from pandas.testing import assert_frame_equal
from sensitivity import SensitivityAnalyzer
from tests.base import EXPECT_DF_TWO_VALUE, SENSITIVITY_VALUES_TWO_VALUE, add_5_to_values, RESULT_NAME, \
SENSITIVITY_VALUES_THREE_VALUE, add_10_to_values, EXPECT_DF_THREE_VALUE, assert_styled_matches, \
DF_S... | [
"whoopnip@gmail.com"
] | whoopnip@gmail.com |
694553df0c0aa0de72c6cd3372d907b36a37b9fa | 487ce91881032c1de16e35ed8bc187d6034205f7 | /codes/CodeJamCrawler/16_0_3_neat/16_0_3_RTN8_solve.py | 7578551770778fbca70157c20919e407da47b880 | [] | no_license | DaHuO/Supergraph | 9cd26d8c5a081803015d93cf5f2674009e92ef7e | c88059dc66297af577ad2b8afa4e0ac0ad622915 | refs/heads/master | 2021-06-14T16:07:52.405091 | 2016-08-21T13:39:13 | 2016-08-21T13:39:13 | 49,829,508 | 2 | 0 | null | 2021-03-19T21:55:46 | 2016-01-17T18:23:00 | Python | UTF-8 | Python | false | false | 2,357 | py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import math
def optimal(from_, to_):
if from_ % 2 == 0:
yield from_
from_ += 1
for divider_candidate in range(from_, to_, 2):
yield divider_candidate
def get_divider(x, from_, to_):
for divider_candidate in optimal(from_, min(to_, int(ma... | [
"[dhuo@tcd.ie]"
] | [dhuo@tcd.ie] |
be2d4b941c14faa0176be8ec0a90f175fe943bde | a93ce0dbb557f9e3a0218fe22bf80d7fe42c84a2 | /deepgmm/methods/mnist_xz_model_selection_method.py | 0f171d6592144cf9f0978b2cea0468604d1856c0 | [
"MIT",
"LicenseRef-scancode-generic-cla"
] | permissive | microsoft/AdversarialGMM | 9d31993e7907937a80a0bef721c4f879a1009904 | 691fbe0761ee5b40dbc4e38317946a7193186af2 | refs/heads/main | 2023-06-24T00:22:55.120222 | 2023-06-12T18:16:19 | 2023-06-12T18:16:19 | 306,104,666 | 30 | 18 | NOASSERTION | 2023-06-12T18:16:20 | 2020-10-21T17:49:34 | Python | UTF-8 | Python | false | false | 4,975 | py | import torch
import torch.nn as nn
from torch.optim import Adam
from game_objectives.simple_moment_objective import OptimalMomentObjective
from learning.learning_dev_f import GradientDescentLearningDevF, SGDLearningDevF
from methods.abstract_method import AbstractMethod
from model_selection.f_history_model_selection_v... | [
"vasy@microsoft.com"
] | vasy@microsoft.com |
3bc807fff68940a850babd595cc1a6d5f414496c | 0f1db4874afcdcf16397dcb5a0e82ae4897efbe6 | /longest_prefix_suffix/code.py | 6b0dba7950c915f29d609e639ea736d0e9e11f17 | [] | no_license | anarkia7115/g4g | 619a22af59f1f3cacfbd8db734f37e2c0870e7d0 | 0dafd0beb8c640395e905fc313736921571a9e5a | refs/heads/master | 2020-03-30T16:08:27.453764 | 2019-03-07T01:44:47 | 2019-03-07T01:44:47 | 151,394,943 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 620 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
def main():
sys.stdin.readline()
# loop every line
for l in sys.stdin:
l = l.strip()
# print(l)
lps = 0 # init lps
curr_prefix = "" # init prefix
# loop every char
for ch in l[:-1]:
... | [
"gaojxcs@gmail.com"
] | gaojxcs@gmail.com |
3d9809d331b11e78f16c48a0364c18ecd3672cc4 | 6cf57efb6ae16d593d6272816ad5fcb4b869c1e7 | /bin/django-admin | 59362b958b1dcd2bc7134477d15610d1f9927277 | [] | no_license | daltondiaz/true-promotion | b41171790c4e9ade7fd503117520dd2f52120c1a | 4ff1651223ca5a98169e278af238a5d99691c6e3 | refs/heads/master | 2021-01-17T17:34:06.353708 | 2016-10-11T02:03:18 | 2016-10-11T02:03:18 | 70,442,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | #!/home/dalton/Dev/python/true_promotion/env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
| [
"dalton.dias@ymail.com"
] | dalton.dias@ymail.com | |
1c68371a7e2d8eaddb197d4d63eff1c8935ef143 | 5c8346597e3690eec3939f56f233eb5fafd336bc | /varsom_regobs_client/models/snow_temp_view_model.py | 761a19ec81381882d6deee0093d85ef0c634d216 | [] | no_license | NVE/python-varsom-regobs-client | be44befd04ca07058f8b46ec69bf1659d3ee422b | 8bb7fc06d2f6da36a5fa4a475d4f036ebe3cfd72 | refs/heads/master | 2022-12-27T19:09:54.761318 | 2020-06-24T08:56:15 | 2020-06-24T08:56:15 | 274,619,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,254 | py | # coding: utf-8
"""
RegObs API
## Introduction RegObs is a tool for collecting observations and events related to natural hazards. It is currently used by the Norwegian flood, landslide and avalanche warning service in Norway, but the data is openly available for anyone through this API. Regobs ... | [
"jorgen.kvalberg@gmail.com"
] | jorgen.kvalberg@gmail.com |
7e9261d35a8303545bab4d58c725e6db41d12152 | 84e4232a1162597cdf779eab2a329290bbcc1712 | /Machine_Learning/D19-D20 Python Clustering Segmentation/solution/m3q1.py | 62184d5773cf3f2467c6d60a9757ba3977acea58 | [] | no_license | ohjho/ftds_oct_2018 | 66046cff606577cf60f3caa414e65a8ecc1bffae | 0d0bd1dad87b583bd9e4c4e51b915c1f68e400fd | refs/heads/master | 2020-04-01T09:18:43.712700 | 2018-12-13T09:29:33 | 2018-12-13T09:29:33 | 153,069,742 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 223 | py |
# Initialize instance of StandardScaler
scaler = StandardScaler()
# Fit and transform item_data
item_data_scaled = scaler.fit_transform(item_data)
# Display first 5 rows of item_data_scaled
item_data_scaled[:5]
| [
"git@johnho.ca"
] | git@johnho.ca |
62283757532919c536c4fe9afbc9a9587785faa6 | fd6862057a794174db628bb94a3e5397f0aeaeab | /django/django_full_stack/examproj/examapp/migrations/0003_auto_20200919_1933.py | da7dc642242d0910337bf4d796208658c4099c3a | [] | no_license | bellos711/python_practice | 8f7117dd7f21cb1f1549e50de9e4873a2fd0e1d9 | 19539a08830f67bd4ff445dd539e1441b2ecae72 | refs/heads/master | 2023-02-15T04:01:40.423472 | 2021-01-11T17:47:36 | 2021-01-11T17:47:36 | 328,255,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | # Generated by Django 2.2.4 on 2020-09-20 02:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('examapp', '0002_auto_20200918_0954'),
]
operations = [
migrations.RemoveField(
model_name='user',
name='liked_wish',... | [
"bellos711@gmail.com"
] | bellos711@gmail.com |
356d6496f9b5d3ef867d61fe4ea944f06311fa75 | da9e1f7ef83345c4490e744c4bea01cbafe7c3f0 | /catalog/test_utils.py | dbb85912ceed36c3cc341e4f20bef4d04764ddbc | [
"MIT"
] | permissive | chriswilley/catalog | 38328c1facb973c26ed562719b33e20bdbe1e1b0 | 09a664a1547a55bc20ff0c8108f9bde55ff10ce3 | refs/heads/master | 2022-12-02T15:06:11.801009 | 2020-03-24T16:26:24 | 2020-03-24T16:26:24 | 49,510,792 | 1 | 1 | MIT | 2022-11-22T04:28:14 | 2016-01-12T15:53:30 | Python | UTF-8 | Python | false | false | 1,370 | py | import json
import os
from catalog import app
def delete_test_file(filename):
"""Delete a named file used for testing purposes.
"""
file_path = os.path.join(
os.path.dirname(__file__), filename)
os.remove(file_path)
return
def get_google_client_id():
"""Since we have to do this a nu... | [
"cwilley@gmail.com"
] | cwilley@gmail.com |
a7e160e11c6dae2533059ec8221fb03be44a9eb8 | 821c1063078c22edc0b35a98d9634ad4a6d2f10a | /contacts/migrations/0001_initial.py | 3225dc0a409a65be4c26266df6f1087141ff2191 | [] | no_license | shudii1/carzone-gitproject | 888b19e8671843af74ffaee39a284754032a85f1 | 1b35e1873dab203eeb35d710ea3aa713280db145 | refs/heads/master | 2023-04-28T16:38:29.478805 | 2021-05-17T05:11:42 | 2021-05-17T05:11:42 | 334,718,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,222 | py | # Generated by Django 3.0.7 on 2021-02-14 14:40
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
('id', m... | [
"hustle162@gmail.com"
] | hustle162@gmail.com |
931c1ee3b6dbce31cf3bb4a6cef5c091784387b4 | 0c29b00e47acbb316dbc6d107b5f415af6be33f9 | /Windenergy_prediction/accounts/models.py | e30ccaf60d7bdab5c00d0881a45c5221aae69bea | [] | no_license | ganesh12450/Predicting-the-energy-output-of-the-wind-turbines-based-on-weather-conditon | 638763e20d5d5e8123fdac049387e0f189527c2a | e239af4d48da656bcd25e2e8c0af527b184f2a0c | refs/heads/master | 2022-11-21T16:05:20.315890 | 2020-07-15T09:57:35 | 2020-07-15T09:57:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 230 | py | from django.db import models
# Create your models here.
class user_details(models.Model):
Name = models.CharField(max_length=30)
email = models.CharField(max_length=30)
username = models.CharField(max_length=30)
| [
"tmuthukumarnpm@gmail.com"
] | tmuthukumarnpm@gmail.com |
1bcd21e97a0088563cadcf935ce0e1dc6bc280f8 | 7f9954b117c7cd3e514c0643c0689245a7927e0c | /src/Speech_recognition.py | fd0c5339ea2f3ffc767352db7bfc5c6112ec6f4b | [
"MIT"
] | permissive | pranayjoshi/Speech_recognition | 30f0a9512724230a12000ebc0626b4f6d69b86a4 | e42e486babffc7941ff2e425fd48c47e206ce539 | refs/heads/master | 2022-12-24T14:13:00.326382 | 2020-09-04T18:01:07 | 2020-09-04T18:01:07 | 168,701,681 | 2 | 4 | MIT | 2020-10-01T20:17:11 | 2019-02-01T13:29:57 | Python | UTF-8 | Python | false | false | 10,035 | py | """
Project name = Pranay Assistant(Indo)
Name = Indo
Developer Name = Pranay Joshi
Version = 2.0
Old modules = Speech recognition, GTTs, PyAudio, os, re, webbrowser, smtplib, certifi, requests, pyttsx3 etc.
New Modules = google, word2number, wikipedia, time, json, datetime, ctime
"""
... | [
"noreply@github.com"
] | pranayjoshi.noreply@github.com |
ba5bb8dfdc1f2e5859c708ef09ebf2485d187b2f | cb7dd5c6f33d0e09321cee2a7030ab275e8b541e | /unittests/test_orderbook.py | 74ad06589bfaea69d1abc5009659fbf95b71d952 | [] | no_license | JakimPL/Iceberg-Order-Book | c2e6d473feb5ddb1aa0ee6efaf37eaeab1cb0ea8 | a6f89198ca102bc377d8b04f06685dc3a0f94479 | refs/heads/master | 2023-03-19T13:59:56.581249 | 2021-03-17T23:36:02 | 2021-03-17T23:36:02 | 347,716,932 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,255 | py | import unittest
from modules.order import Order
from modules.orderbook import OrderBook
class TestOrderBook(unittest.TestCase):
def test_order_book_add_order(self):
order_book = OrderBook()
order = Order((1, "Limit", "Buy", 100, 100, 0))
order_book.add(order)
self.assertEqual(order... | [
"jakimpl@gmail.com"
] | jakimpl@gmail.com |
3b8d00461c70b529e72e2d5764a08329dd7404a5 | 46aedfe0d90c396ce17227aa9a53343536c5969c | /application/utils/geocode.py | 8a2d5608d0bd2f4c53c2e1ed3662393d33d4140d | [] | no_license | VID-STUDY/CoffeeBot | 8e81f36a7427414a7ce93720a3c404f30f36226f | 512b5ba0b53d42f09414f95567d8de9ef12885bf | refs/heads/master | 2022-12-27T16:37:36.372750 | 2020-10-13T18:41:30 | 2020-10-13T18:41:30 | 299,697,140 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,565 | py | from math import radians, cos, sin, asin, sqrt
from yandex_geocoder import Client
from typing import Optional, AnyStr
def distance_between_two_points(first_coordinates: tuple, second_coordinates: tuple) -> tuple:
"""
Calculate the great circle distance between two pints
on the Earth (specified in decimal ... | [
"sunnat_m98@icloud.com"
] | sunnat_m98@icloud.com |
feaca30d209710ef59254b4a7a876cbbc712270f | 016cf414259dccd8e45856ef0cd131cf27f66fec | /datapreprocessing/file_to_wav.py | a443a9b3b87dee5ea6ad204e9024e6261fc3732e | [] | no_license | steinszzh/2020capstone | acccd69924ccaf3de77907808422f049631408ac | 95d223f15ffbd39af2d79532ee0ed73613b4a399 | refs/heads/master | 2023-02-03T05:53:06.444073 | 2020-12-21T12:51:01 | 2020-12-21T12:51:01 | 288,187,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 898 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 19 20:44:10 2020
@author: zhihongz
"""
import os
from pydub import AudioSegment
def convert_to_wav(dir_path):
for file_path in os.listdir(dir_path):
if file_path.split('.')[-1] != "wav":
read_file = AudioSegment.from_fi... | [
"noreply@github.com"
] | steinszzh.noreply@github.com |
7bbd45dc9c290c1a74e2526119f7f5cc401db529 | 874abdd97c48329a10e13845fe75bbb18dbfd650 | /stocks.py | 3e863b6654d85f3459bf1f0f72a4721b2fdb4bd5 | [] | no_license | JakeSigwart/Stock_Dataset | ff732cf268bb9b138168947eb0b3ae50d52bec81 | 972b82f80d835785c9682b29b695d3823f3122db | refs/heads/master | 2021-05-03T22:55:15.202175 | 2018-02-06T03:42:33 | 2018-02-06T03:42:33 | 120,394,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,045 | py | import os
import time
import pickle
import numpy as np
import pandas as pd
import datetime as dt
from Stock_dataset import *
path = os.path.dirname(__file__)
todays_date = str(dt.date.today())
tickers = ['AAPL', 'AMZN', 'NVDA', 'GM', 'T', 'CAH']
#sp_500_tickers = np.load(path + '\\data\\tickers.npy')
dat... | [
"noreply@github.com"
] | JakeSigwart.noreply@github.com |
4e58a5df4cfa106e927ac654f9765e8d43ca5acf | 4ffe483f8297aa3fee8254ce569c3d260f156524 | /code/test-suite/EstheRustConvertor/expected/ope_3.py | 944cfb4dd8188ed2a425d563179d2e2545527d5f | [
"MIT"
] | permissive | SamiBelaidi/LOG3210 | 5dd7fbfc4cd709c9c46a2b4dc250cb565650293c | 03b3952af125be98fe32eefb2338767020033f51 | refs/heads/master | 2023-04-16T05:58:20.147795 | 2021-04-25T20:54:29 | 2021-04-25T20:54:29 | 334,222,417 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 69 | py | variable4 = 9 - 9 + 5
variable5 = (9 + 5) - 19023
variable6 = -9 + 0
| [
"sami.belaidi98@gmail.com"
] | sami.belaidi98@gmail.com |
3c851c00f3168cf06f90684e89022ab2bc3965e0 | c9697437c292df7fefd68559fdd9636066bdb2f1 | /dev/animations/quick_sph_harm_anim.py | 70d6bba7b23d2c08505d1efe4f8e75ea2ef961bf | [] | no_license | JoshKarpel/ionization | ebdb387483a9bc3fdb52818ab8e897e562ffcc67 | 3056df523ee90147d262b0e8bfaaef6f2678ea11 | refs/heads/master | 2021-03-24T13:03:57.469388 | 2020-04-06T03:37:04 | 2020-04-06T03:37:04 | 62,348,115 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,491 | py | import logging
import os
from copy import deepcopy
import simulacra as si
from simulacra.units import *
import ionization as ion
import matplotlib.pyplot as plt
FILE_NAME = os.path.splitext(os.path.basename(__file__))[0]
OUT_DIR = os.path.join(os.getcwd(), "out", FILE_NAME)
if __name__ == "__main__":
with si.u... | [
"josh.karpel@gmail.com"
] | josh.karpel@gmail.com |
919db12dde6d6740bb4331a91b54bcc197fc0e1a | 0a4b219ff87e296f7afe92967d7224e5d4bef67b | /Algorithms/64_Minimum_Path_Sum/Minimum_Path_Sum.py | 08cf40c542afa3e9c0273d358d568dde19a6abaa | [] | no_license | lirui-ML/my_leetcode | ef3a3fb73a85d53b14e8c112ad70c1b353c3dfba | 13e7ec9fe7a92ab13b247bd4edeb1ada5de81a08 | refs/heads/master | 2021-08-07T12:26:12.508487 | 2020-12-11T06:07:29 | 2020-12-11T06:07:29 | 229,288,993 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,129 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
描述：最小路径和 （难度：中等）
给定一个包含非负整数的 m x n 网格，请找出一条从左上角到右下角的路径，使得路径上的数字总和为最小。
说明：每次只能向下或者向右移动一步。
示例:
输入:
[
[1,3,1],
[1,5,1],
[4,2,1]
]
输出: 7
解释: 因为路径 1→3→1→1→1 的总和最小。
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/minimum-path-sum
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注... | [
"1342058369@qq.com"
] | 1342058369@qq.com |
a36ae4917549a017d3b949b570e8c4b0577ac04a | 0f8f6d9ddee615ecd4d54c5c849c9660e1dd3c69 | /SimpleAIassistant.py | cc948040a39195f57aab1f90a354ef22f57438fe | [] | no_license | fairy186/SimpleAIassistant | a1e9d2553785fb5758133297499b23716afa8beb | 1bd513b1960d6e5df220e08982ac6ebf3c10bd6d | refs/heads/main | 2023-08-25T09:38:39.081754 | 2021-11-09T09:28:19 | 2021-11-09T09:28:19 | 426,166,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,242 | py | import speech_recognition
import pyttsx3
import os
import pygame
from datetime import date, datetime
light = 0
while True:
robot_Listen = speech_recognition.Recognizer()
robot_speak = pyttsx3.init()
voices = robot_speak.getProperty('voices')
robot_speak.setProperty('voice', voices[1].id)
with speech_recognition.M... | [
"huy.nx.60cntt@ntu.edu.vn"
] | huy.nx.60cntt@ntu.edu.vn |
1f182e8a36647ee5821729ce8dbb868c606bb379 | 928d800fb38dbc9aeab9e1e4536c559154ca9a40 | /www/handlers.py | 0becb2850c49492136de9e63fafd80ffec916a32 | [] | no_license | weilei0209/awesome-python3-webapp | d4664b7cbba8359cc93f24ca6a7f42cc73998bc1 | 3d5b1427d73aa4a0a35238cf02b823a064e556a7 | refs/heads/master | 2021-01-22T13:51:42.943883 | 2017-08-30T08:34:37 | 2017-08-30T08:34:37 | 100,683,959 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 88 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Wei Lei'
' url handlers ' | [
"weilei0209@163.com"
] | weilei0209@163.com |
ac6a3c014150e6d5977baa99c4a14e69a2f65419 | f4f2be5885ce0cf7647c856cf202e63163009d5b | /University_Lecture/05week_HW_02.py | 640a0b5f1a76a876af0432b3f886c3ed0b661471 | [] | no_license | epsilon-d/Python | 9488198dfff7be446ab99a784b7404fc27cd74d9 | 27a5298a0ba33aa8c63ff9bd6d372ac30be3df04 | refs/heads/master | 2022-06-02T09:07:50.988547 | 2022-05-26T18:27:42 | 2022-05-26T18:27:42 | 209,555,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 197 | py | # 연습문제 #2: 홀수의 합
sum_num = 0
for x in range(501, 1000, 1):
if x % 2 == 0:
continue
sum_num = sum_num + x
print("500에서 1000까지 홀수의 합: %d" % sum_num)
| [
"eumyangsun3@naver.com"
] | eumyangsun3@naver.com |
a2f2c2365fbdeb8aa7369aa3fe1d11c10b4e1f3b | 3dbb88524b16e9a58310f612829380c2152eb54a | /mysite/mainApp/migrations/0003_registration2.py | 47fef75bf3f6b60f5cffe5470a516f2fae1ba4cf | [] | no_license | Amir-error/Django_ib_1kurs | ccc826896e86cffeeb332df8ba5ea4ae13e528f5 | e710a14c420fd6c45dba636aa076894483fb0543 | refs/heads/master | 2023-04-15T19:22:56.111218 | 2021-05-06T18:08:13 | 2021-05-06T18:08:13 | 341,322,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,083 | py | # Generated by Django 3.1.4 on 2021-01-31 09:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mainApp', '0002_registration_password'),
]
operations = [
migrations.CreateModel(
name='Registration2',
fields=[
... | [
"amir-bilalov@mail.ru"
] | amir-bilalov@mail.ru |
51cd6deb2f42faf59d3c7e5bf876fa0321501eb3 | 9407b2b21f4696ff5b392e7ac8eb0b421dd415a5 | /downloader/models.py | b98779828989e32c4a03d5540b3b9c4df0cd4b3e | [] | no_license | Craeckie/otrtools | 15f06bd037a608334904cd032aaa803a02cab254 | 3abad47bfe126e47c9cc1256263b2297bd1dc56e | refs/heads/master | 2023-02-22T07:41:13.267355 | 2022-08-11T21:23:13 | 2022-08-11T21:23:13 | 249,022,513 | 1 | 0 | null | 2023-02-15T18:50:49 | 2020-03-21T17:06:23 | Python | UTF-8 | Python | false | false | 411 | py | from django.db import models
class Task(models.Model):
video_url = models.URLField(max_length=1000)
audio_url = models.URLField(max_length=1000, null=True)
otrkey = models.CharField(max_length=200)
decrypted = models.CharField(max_length=200)
cutlist = models.CharField(max_length=5000, null=True)
... | [
"josia-internet@rosskopfs.de"
] | josia-internet@rosskopfs.de |
704b8094862dc15eea3c0bba95ffb5a928bd1cdd | a7ecc51a9c3dd86690fe4e5358901af9f598af80 | /code/generator/ContentGenerator.py | 4e871f79ede16635896ab510fc9e8049d7990ef2 | [] | no_license | Maciejfsafew/PopularitySimulation | 31387eae32a9535c63bc57f423ce2a25daa0340f | 36a56262f49fd02777cca8f247a740795594db7d | refs/heads/master | 2016-09-06T13:07:43.386601 | 2014-06-08T21:28:47 | 2014-06-08T21:28:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32,723 | py | # -*- coding: utf-8 -*-
import random
from code.datamodel.Category import Category
from code.datamodel.Content import Content
__author__ = 'mjjaniec'
class ContentGenerator(object):
def generate_content(self):
return random.choice(self.contents)
@staticmethod
def _generate_categories(hint):
... | [
"mjjaniec@gmail.com"
] | mjjaniec@gmail.com |
792d8426759a5c85f9af9fba9e0fdfa56c425d1f | 681ad82b3c7f18411f83a4be2c190a7cd123ce8a | /EDBRCommon/python/datasets/cmgTupleList_XWW/cmgTuple_0627/cmgTuple_SingleElectron_Run2012D_PromptReco_xww_cff.py | b4b251384f77aa7ba8b6b17ce20739ec6b976a18 | [] | no_license | cms-edbr/ExoDiBosonResonances | 5009161fdc76b39f121316e26497bedd29abe3d7 | b8ae400a20bfb8ed66c83b8f38e98d853058ae17 | refs/heads/master | 2021-01-19T18:33:17.435519 | 2014-03-12T12:00:43 | 2014-03-12T12:00:43 | 12,613,661 | 0 | 0 | null | 2015-10-18T15:06:39 | 2013-09-05T09:06:16 | Python | UTF-8 | Python | false | false | 28,612 | py | import FWCore.ParameterSet.Config as cms
cmgFiles = cms.untracked.vstring()
source = cms.Source("PoolSource",
noEventSort = cms.untracked.bool(True),
duplicateCheckMode = cms.untracked.string("noDuplicateCheck"),
fileNames = cmgFiles
)
cmg... | [
""
] | |
6fd9bb6dae2bb50a8a9fbac2eb6d9c75a6b3da23 | 17b22d94c938bddafd4420424997a5b82afca6f9 | /hw3.py | 5681a5988ca075e7baa42656fd9a02b0070d78bf | [] | no_license | amikoz/HW3-Kozenasheva151 | 42623a21c5a7c6f2522f15034d834b9c9073eaed | a4ab011d2cb18843bb7551cdbb829a8ed33bc53a | refs/heads/master | 2021-06-08T21:12:15.162713 | 2016-12-04T21:15:16 | 2016-12-04T21:15:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,574 | py | import re
import urllib.request
import os
import html
def download_page1(pageUrl1):
try:
page1 = urllib.request.urlopen(pageUrl1)
text1 = page1.read().decode('UTF-8')
except:
text1 = 'unavailable page'
return text1
def txt_1(text1):
regPostTitletxt1 = re.compile(' <b class="reg... | [
"noreply@github.com"
] | amikoz.noreply@github.com |
f37e0c03f9c5faea225fd44758e373c763d12d40 | 450e32d0a75f05340dc7c3660b01efbd6f2b15e6 | /log_process/x.py | 34932c1cb0fa196a175aff4605779e535b8eabb6 | [
"MIT"
] | permissive | skyzh/fish-agent-simulation-mcm2020 | 679ee29632b8ab2bb5e903c30e4c0f502c4a73aa | dfe5b3c0b85ff738df3446cb87610e85136f857e | refs/heads/master | 2022-10-04T02:00:46.554228 | 2020-04-06T02:47:21 | 2020-04-06T02:47:21 | 240,444,153 | 3 | 0 | MIT | 2020-06-07T20:53:32 | 2020-02-14T06:37:03 | Rust | UTF-8 | Python | false | false | 108 | py | while True:
x = []
for j in range(12):
x.append(float(input()))
print(sum(x) / 12)
| [
"iskyzh@gmail.com"
] | iskyzh@gmail.com |
4eee527a569be132019dc5c3961bcede255e3ed6 | 4bdc163f846c0e9900fdc5a2a27e803d152afc49 | /parser_.py | 3b98bb4b0caaf7304f5aea96f928257783543d66 | [] | no_license | navedrizvi/PyLox | 44822f6577a95a2424f1585c381740ade45c7a76 | 2e1d45f4e67e79e1b5ed92c663520534c6924d87 | refs/heads/master | 2023-07-17T14:57:33.557961 | 2021-08-07T11:53:09 | 2021-08-07T11:53:09 | 266,264,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,338 | py | from token_ import Token, TokenType
from expr import Binary, Expr, Grouping, Literal, Unary
class ParseError(RuntimeError):
pass
class Parser:
current = 0
def __init__(self, tokens: [Token]):
self.tokens = tokens
def _expression(self) -> Expr:
return self._equality()
#Rule- eq... | [
"rizvi.naved1997@gmail.com"
] | rizvi.naved1997@gmail.com |
72d7699bddf94214ff38384c276b9e713e3248d0 | 44da94c0a05e079df944748a9331a4b8d45ae182 | /Practice_100/p70.py | cabccc7f1fc7c59c15a518acb6009aafd1c12e5f | [] | no_license | Tamalika1995/Udemy_Practice | 7af1f3f07cda26614be20032e2e02d86a4e43856 | 3f2286584205ae847c8686584f6de78a5a6382af | refs/heads/master | 2023-06-16T14:02:31.371663 | 2021-06-22T03:32:12 | 2021-06-22T03:32:12 | 377,487,991 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 206 | py | '''Please write a program to output a random even number between 0 and 10 inclusive using
random module and list comprehension.'''
import random
l=random.choice([i for i in range(0,11) if i%2==0])
print(l) | [
"614785@cognizant.com"
] | 614785@cognizant.com |
e0bf0736a15032cf463a5b606c455b4e65f89479 | d2b5e5039b2fb0556ebaadf68c491b7f35cadc32 | /django_temporal/utils.py | 5991936b1a8cab12e981c2a89ba43edb10fe2f4e | [
"BSD-3-Clause"
] | permissive | hwinkel/django_temporal | 65d4bac57bbd8ffc92789b8260524ece7f957b74 | c192a4f2bd052d14ae43795962e2451be22985d2 | refs/heads/master | 2021-01-17T12:22:43.948709 | 2014-10-24T21:24:49 | 2014-10-24T21:24:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,107 | py | import csv
import datetime
import logging
import os
import time
from django.db import connection, transaction
from psycopg2.extensions import adapt
from django_temporal.db.models.fields import DATE_CURRENT, TIME_CURRENT
# TODO
# merge in between two times
# documentation
def merge(new_csv, model, timestamp, keys, sna... | [
"zejn@kiberpipa.org"
] | zejn@kiberpipa.org |
884da089c1ad2da26bab7d0e24816593e1a9b0a6 | 7f155be68a153c93321e33d1ceaf0e3c43443b66 | /batchHobj2Tiff.py | 569e05ab3bc83a4ec57dead019cb08e89d4b307d | [] | no_license | EthanHC21/OMA-M | eff328a710f27fd62e27b3a303055ba6517f2ac6 | 6a83fb7ef3f5f22cfe4a6be3a0f791b04169424c | refs/heads/master | 2023-08-14T00:00:00.266298 | 2021-09-21T01:45:06 | 2021-09-21T01:45:06 | 354,226,788 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,205 | py | import numpy as np
import cv2
import struct, time, os
def read_hobj(image_filename):
start_time = time.time()
print('Getting HOBJ file >>> {:s}'.format(image_filename))
with open(image_filename,'rb') as f:
ibuffer = f.read(84)
#
npixels = struct.unpack('i',ibuffer[72:76][::-1])[0]
rows = struct.unpack(... | [
"ethan.catalanello@rutgers.edu"
] | ethan.catalanello@rutgers.edu |
71713664da5f286f35226c63cd9d2b695c3b5d4a | cee2d75869ffbe682eade7233f4bca24033acaff | /mysite/settings.py | 87268b6945f7a15f1659d33d709f9cd039eae0fc | [] | no_license | WTSR8888/djangoblog | d0fbcc4015859c0aedd19706ee2a2fac76d37ca5 | 9b17c267bc1476526beb14dae5d76fb75da6e503 | refs/heads/master | 2020-04-27T02:30:30.419479 | 2019-03-05T18:04:43 | 2019-03-05T18:04:43 | 173,996,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,190 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.0.13.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
#... | [
"bartek.kordyk@wp.pl"
] | bartek.kordyk@wp.pl |
12713c973883df5102ea1444ec040bcba5a07233 | 17fc3ebe9bb956dcc00388da6a11d979664c7e10 | /sklearn_03/stu_and_demo/demo_02.py | 9d2f1b4b9517a1bcdddb058c52078f2477dc5d2f | [] | no_license | jmsxiaoli/holiday_stu_2019 | 054c63cb7bc365418cbb50e563d02e1435446eac | 5297ae2552562dad55f1fe9debc75f97b4648346 | refs/heads/master | 2023-04-04T10:28:55.382556 | 2020-04-27T13:09:48 | 2020-04-27T13:09:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,959 | py | '''
线性回归模型评估指标示例
'''
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets, linear_model
from sklearn.metrics import mean_squared_error, r2_score
"""
# 利用 diabetes数据集来学习线性回归
# diabetes 是一个关于糖尿病的数据集， 该数据集包括442个病人的生理数据及一年以后的病情发展情况。
# 数据集中的特征值总共10项, 如下:
# 性别
#体质指数
#血压
... | [
"bug@nuaa.edu.cn"
] | bug@nuaa.edu.cn |
f811204e6610601c7ff459d4b0fc1fd20076ac1d | 1b8762f9402a7e30aad3ba31da5bf3d5d147a21e | /robotDescription/testURDF.py | 7df1cf7b5aae72178a997052be69ddda80f8ccd6 | [] | no_license | MTlachac/nlp-waypoints | e033d05e8a04ae99dae773902363cc904f555c15 | a2018992059b5b3d574a284ddcf3901d36f41865 | refs/heads/master | 2023-02-02T17:45:22.611285 | 2020-12-23T22:59:32 | 2020-12-23T22:59:32 | 308,916,098 | 2 | 1 | null | 2020-11-27T15:11:09 | 2020-10-31T15:48:09 | Jupyter Notebook | UTF-8 | Python | false | false | 838 | py | import time
import pybullet as p
import pybullet_data
# joint ID to visualize (move and print info and state)
JOINT_ID = 3
client = p.connect(p.GUI)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
p.setGravity(0,0,-10)
planeId = p.loadURDF("plane.urdf")
startPos = [0, 0, 2]
botId = p.loadURDF("hyq.urdf", star... | [
"tlach007@umn.edu"
] | tlach007@umn.edu |
c4c440d4f7e22c09561d6861a4dd80339e4b7534 | 23c1d920580966cee3a617b81475994a52dbca3e | /dictalchemy/tests/test_utils.py | 767437680427a1574b18caac7f8888ab4043ed60 | [
"MIT"
] | permissive | iuantu/dictalchemy | cf98eb71b83f1ffb0cba11fb313b3761ede8ee5b | fa12c1cae17d35f57c20d68df81f3a694677050d | refs/heads/master | 2020-11-29T10:49:45.083463 | 2019-12-25T11:57:36 | 2019-12-25T11:57:36 | 230,096,116 | 0 | 0 | MIT | 2019-12-25T11:54:03 | 2019-12-25T11:54:02 | null | UTF-8 | Python | false | false | 1,833 | py | # vim: set fileencoding=utf-8 :
from __future__ import absolute_import, division
import unittest
import dictalchemy.tests as tests
from dictalchemy import make_class_dictable
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Column, String, Integer
engine = create_eng... | [
"holmstrom.daniel@gmail.com"
] | holmstrom.daniel@gmail.com |
cbccee82c1301e6805ef9d0e03b6ec7445ab82da | fc2289618d93309b824d44a61310f096ef37b257 | /npsTracker/tracker/migrations/0005_auto_20181207_2149.py | 91b6ed4c3e371cc0bbf8845b08181693dc584cdb | [] | no_license | jonna-t/npsTracker | 50929583a0cd0c3b876f4f6cc1eb34868503b99a | f33bdecbfdee0a5374eb0c57789da626a1aa3801 | refs/heads/master | 2020-04-18T23:00:43.916947 | 2019-01-27T13:15:30 | 2019-01-27T13:15:30 | 167,810,545 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | # Generated by Django 2.1.3 on 2018-12-07 21:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tracker', '0004_auto_20181207_2147'),
]
operations = [
migrations.AlterField(
model_name='event',
name='status',
... | [
"j.turnbull@accenture.com"
] | j.turnbull@accenture.com |
1cf3376248e4dae4f7b043f2554ed9f25c909d80 | 7bbe2060385e1d732bb125b881562c64618075e0 | /Python/GaeaPipeline/workflow/H_merge_vcf.py | cae0f2ee23a1dd7871002045f737b5dd34f951a4 | [] | no_license | jjmini/dmcade | 7071cefd451946de14ee3817568b8d7c6ce5bf7e | 8c621126c3b18e4d4f0daed27fe77db35e16fd31 | refs/heads/master | 2022-12-08T13:55:53.355357 | 2019-07-07T06:09:33 | 2019-07-07T06:09:33 | 195,595,960 | 0 | 0 | null | 2022-07-07T23:10:18 | 2019-07-07T00:58:48 | Java | UTF-8 | Python | false | false | 4,257 | py | # encoding: utf-8
import os
from gaeautils.bundle import bundle
from gaeautils.workflow import Workflow
__updated__ = '2018-05-31'
class merge_vcf(Workflow):
""" merge_vcf """
INIT = bundle(merge_vcf=bundle())
INIT.merge_vcf.program = "gaeatools.jar"
INIT.merge_vcf.bcftools = ""
INIT.merge_vcf.... | [
"https://jjmini@github.com"
] | https://jjmini@github.com |
aaa174b7d5b9a39f124aded81196211c16574ee5 | c31046b84964bf7a9843582a4e2ecd4e8e2ed51a | /Unit7Labs/Lab_7A.py | dca8f7029be90f39b0e5bf91399cf5549b7c31fc | [] | no_license | Foxx2019/FoxxWaiss-Python | ecfb6d2e22c67be4171af138c48527d24bb091a9 | f36dd9773df1e29f7d55f8cbfe89af6ecd5201aa | refs/heads/master | 2021-07-18T20:34:41.677533 | 2019-01-17T17:11:09 | 2019-01-17T17:11:09 | 146,913,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,243 | py | class Petclass():
petType= "cage free pet"
def __init__(self, pType, pName, pBreed):
self.type = pType
self.name = pName
self.breed = pBreed
def getName(self):
return(str(self.name))
def getBreed(self):
return(str(self.breed))
def whatItIs(self):
p... | [
"19liuzhuoran@bprep.org"
] | 19liuzhuoran@bprep.org |
e615006a23c81dc60b0a5cdc99d864b0a4c4a7d4 | c724fad90be2e221cb0f5c0005ebcfbdfdb35d27 | /backend/fitsii_19945/wsgi.py | cfa9f31b691c6399a7797d950bc243dc2bb70ac9 | [] | no_license | crowdbotics-apps/fitsii-19945 | d461349a510febd39f4edcaeb2b8b722664e3bf0 | 040621b4053e58b9c323ef7222a6a36465c4806e | refs/heads/master | 2022-12-07T18:18:50.580128 | 2020-09-02T16:56:11 | 2020-09-02T16:56:11 | 292,342,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | """
WSGI config for fitsii_19945 project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
0497e0262a8ee739513125f73d20dec716f79060 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/cylicRot_20200714234806.py | 755b17fab1acf221b7f045ba530fc306bc41432f | [] | 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 | 536 | py | # given an array rotate it k times to the right
def rotate(arr,k):
# first I'd rotate the array once
# so how do we rotate the array
# we move the last element to the firs place and
# the rest follow suit
# [1,2,3,4]
# [4,2,3,1]
# [4,1,3,2]
# [4,1,2,3]
# [4,1,2,3]
# all we ar... | [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
99d27433a0fd4c8152c28b420d73c12dabf8b703 | 131cb30e1e0a636e798ffed8dfc7395048f52f72 | /python/conferencerates.py | 3097d0c2b2e3f6c84b37d99ec357831d22eb02dd | [
"Unlicense"
] | permissive | robotprogrammer22/Astro-Budget-Site | fef31af181dd58c2698021183e74cd6a8bb4750e | b30aaf8a86b1a5d2f184b5a5506dfd939eade392 | refs/heads/master | 2020-06-03T03:17:11.224177 | 2019-06-28T16:44:31 | 2019-06-28T16:44:31 | 191,413,323 | 0 | 0 | Unlicense | 2019-06-11T16:50:41 | 2019-06-11T16:50:41 | null | UTF-8 | Python | false | false | 742 | py | from sqlalchemy import Column, Integer, String, Float, DateTime, ForeignKey, Sequence
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class ConferenceRates(Base):
__tablename__ = 'conferencerates'
conferencerateid = Column (Integer, Sequence('conferencerates_conferencerateid_seq... | [
"sakins@GS.DOI.NET@a6478e1e-ec95-11dc-b814-c3d4bc21ddcb"
] | sakins@GS.DOI.NET@a6478e1e-ec95-11dc-b814-c3d4bc21ddcb |
c9c4d9cec089efc390d4bc9ec3d75c7bd405ae1b | 4df17daecb32fd5ec6ae6a76ba6c9f5e58702203 | /10-06/Factory/Factory_python/Factory.py | 14f1a6bbc9f1371b216a045f2eda88ee44bc686b | [] | no_license | celinalopez/DisenoDeSistemas | 3ea29db526105a4bd2db44c70c4db8680ce68f1e | 273fa9f800479285cd0d3e2a3ebe0561bd7469de | refs/heads/main | 2023-08-24T18:23:21.669060 | 2021-11-04T04:46:52 | 2021-11-04T04:46:52 | 409,076,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 431 | py | from pizzas import Muzzarella, Especial, Pepperonni, CuatroQuesos
class PizzaFactory():
@staticmethod
def pedir_pizza(tipo_pizza):
if tipo_pizza == 'Muzzarella':
return Muzzarella()
elif tipo_pizza == 'Especial':
return Especial()
elif tipo_pizza == 'Pepperonni'... | [
"cea.lopez@alumno.um.edu.ar"
] | cea.lopez@alumno.um.edu.ar |
710bdfba83d3af4084ef5374be28722fb9f47424 | 05d884fccb0d8d46024f8df8d4d93d8911c9e9d5 | /Deep_VAMP/ConvRecL/test_fullimage/make_predictions_fullimage.py | b2678a7ecd7d292ea53c3ddf223b16f03b697435 | [] | no_license | havaeimo/Deep_VAMP | 6305c5d1a9a642d7ef11daeb5e8240e72e165ff8 | 041c1b5c8da762ef5e087d07e75302f86e4fa541 | refs/heads/master | 2021-01-10T11:35:47.367156 | 2015-07-14T23:37:23 | 2015-07-14T23:37:23 | 36,247,348 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,124 | py | import pdb
import numpy as np
#from matplotlib.pyplot import imsave
import numpy
from os.path import isfile, join
import argparse
from itertools import izip
import scipy
import cPickle
import theano
import os
import os.path
from PIL import Image
import PIL
from pylearn2.datasets.deep_vamp import toronto_preprocessing
... | [
"seyed.mohammad.havaei@usherbrooke.ca"
] | seyed.mohammad.havaei@usherbrooke.ca |
8a90af3d8f8303466537548fe2ee18c2d1f3d983 | 3d48edf0c7335be78cdfb27764faae78f5b92270 | /async_property/cached.py | 4c1fafb08e39a01b6046054e2e8fe00dacb71b25 | [
"MIT"
] | permissive | 18600575648/async_property | fc051acb291dfe7245d874974f6486311816da8c | 9991fe614e89c04f5d9d93e150afe6cb10a42392 | refs/heads/master | 2023-07-06T10:11:01.917887 | 2023-07-03T17:22:23 | 2023-07-03T17:22:23 | 468,599,873 | 0 | 0 | MIT | 2023-09-05T07:44:36 | 2022-03-11T03:52:48 | Python | UTF-8 | Python | false | false | 3,948 | py | import asyncio
import functools
from collections import defaultdict
from async_property.proxy import AwaitableOnly, AwaitableProxy
is_coroutine = asyncio.iscoroutinefunction
ASYNC_PROPERTY_ATTR = '__async_property__'
def async_cached_property(func, *args, **kwargs):
assert is_coroutine(func), 'Can only use wi... | [
"ryan.anguiano@gmail.com"
] | ryan.anguiano@gmail.com |
e1b14ee4ee75a098c5be24097ca8b03f11ca23c0 | 2e2e37a8e2cde7a63b9e462ca2fbc2a067f20be1 | /packt.py | bc2f5f4a565cd4903616bbf762557bb2f81ee2b9 | [] | no_license | xhimalaya/system_setup | 678f938a58e6638c94df132fe3fb9a14b0e9dfd1 | 1b0a1f2a28c77c18116d6fb1dc49b75652b947d6 | refs/heads/master | 2022-11-15T07:11:54.705088 | 2020-07-06T16:51:47 | 2020-07-06T16:51:47 | 254,872,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,104 | py | import scapy as scapy
from scapy_http import http
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--interface", dest="interface",
help="Interface name")
options = parser.parse_args()
return options
def sniff_packet(interface)... | [
"himalaya@wsegames.com"
] | himalaya@wsegames.com |
36f60d587f725070a2ff8b01f994e92c4b097cc5 | efe9ef79f0e38cefe0d896ef8f0fe8b6acd79234 | /longestChain.py | 07b1ed37e47aa18e08100c48acccd967ff8aec48 | [] | no_license | kchanhee/pythonpractice | ed97c30aaccd509836ec313bf75eee268d202be7 | a2cd3a1930f0f8c4d4581b9071f7b1121a0b62c0 | refs/heads/master | 2020-12-30T12:35:36.514990 | 2017-11-20T08:00:18 | 2017-11-20T08:00:18 | 91,395,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 940 | py | def longest_chain(w):
words = set()
for word in w:
words.add(word)
max_chain = 0
for word in words:
if len(word) <= max_chain: # skip word if it cannot be greater than max_chain
continue
max_candidate = find_longest_chain(word, words, 0, [ 0 ])
max_chain = max... | [
"koh.chanhee@gmail.com"
] | koh.chanhee@gmail.com |
fa06c71dbb665db2798a80f020f94620ea392755 | 93b7700d0deba59c6752693e9eda9047dd7b92f0 | /action/evaluation/eval_classification.py | 20580c5e9cfd545e99307c7045f9b939dd7f8af1 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | scape1989/IKEA_ASM_Dataset | 238851979d8a1cff53fb7bc41092a0a308043a95 | 1627ba894c974cf45a653d79598120202ea658b5 | refs/heads/master | 2022-12-24T10:29:13.705768 | 2020-09-28T23:57:12 | 2020-09-28T23:57:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,190 | py | # source: ActivityNet: https://github.com/activitynet/ActivityNet/blob/master/Evaluation/eval_classification.py
# adapted to python3 and the IKEA ASM dataset
import json
# import urllib2
import numpy as np
import pandas as pd
# from utils import get_blocked_videos
from eval_utils import interpolated_prec_rec
class ... | [
"sitzikbs@gmail.com"
] | sitzikbs@gmail.com |
7af5765fa5c6edb401f7b850aa3101fbeaafd7f3 | e825640a5d087fb0e14267111dda4fe010224a3a | /multiapp/helpers/multiapp.py | b25c3163809f8b7eccf466bcd8226f80406be5db | [] | no_license | Nhiemth1985/PyPortfolioAnalytics | c2ee64a47fb58654528353cb8796a96eb6ed8d60 | 7f210c98b1dcc6f2a157372b34664d8d163a2874 | refs/heads/master | 2023-09-03T15:22:18.493060 | 2021-10-17T18:22:58 | 2021-10-17T18:22:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,366 | py | """Frameworks for running multiple Streamlit applications as a single app.
https://github.com/upraneelnihar/streamlit-multiapps
"""
import streamlit as st
class MultiApp:
"""Framework for combining multiple streamlit applications.
Usage:
def foo():
st.title("Hello Foo")
def bar():
... | [
"simone.precicchiani@gmail.com"
] | simone.precicchiani@gmail.com |
c5968b91f1e8556b70007f764784c56df35cfef6 | 2c89037666a3c3c9be55b53055c73aa9fcbde2b7 | /webrobot/app/main/service/user_service.py | 1aa181ef641092046126c96166d66c61d9b54523 | [
"MIT"
] | permissive | kakawaa/Auto-Test-System | 844284de1eb5fac8fa8c5318371c99991caff62d | 76b0690e4e49769ec5d6e65ab6c499396880c0bd | refs/heads/master | 2020-06-17T11:42:38.121124 | 2019-07-05T03:32:39 | 2019-07-05T03:32:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,451 | py | # import uuid
import datetime
import os
from pathlib import Path
from app.main import db
from app.main.model.database import User, Organization
from task_runner.runner import start_threads
from ..config import get_config
from ..util.errors import *
from ..util.identicon import *
USERS_ROOT = Path(get_config().USERS_... | [
"panzilla@163.com"
] | panzilla@163.com |
94ec66eea7c4ae730b2e71fc18b4f51f42d5626a | 8f11b828a75180161963f082a772e410ad1d95c6 | /packages/python/ram/ai/__init__.py | 7fc0cd75962ad19cb0295be679c48e2ac7cb2ab8 | [] | no_license | venkatarajasekhar/tortuga | c0d61703d90a6f4e84d57f6750c01786ad21d214 | f6336fb4d58b11ddfda62ce114097703340e9abd | refs/heads/master | 2020-12-25T23:57:25.036347 | 2017-02-17T05:01:47 | 2017-02-17T05:01:47 | 43,284,285 | 0 | 0 | null | 2017-02-17T05:01:48 | 2015-09-28T06:39:21 | C++ | UTF-8 | Python | false | false | 282 | py | # Copyright (C) 2007 Maryland Robotics Club
# Copyright (C) 2007 Joseph Lisee <jlisee@umd.edu>
# All rights reserved.
#
# Author: Joseph Lisee <jlisee@umd.edu>
# File: packages/python/ram/ai/__init__.py
# To allow the registration of SubsystemMakers
#import ram.ai.state as _state | [
"jlisee@gmail.com"
] | jlisee@gmail.com |
d4c73b518210b00ff4f14bb7bf1b7d93e8c7e2fd | 9ed987c683b925b505bf7fa258cdf48d4962b6b0 | /P0/Sin título0.py | 8ed1625247aaa31a89582b4455015d450bc21f6c | [] | no_license | victory06/AA | 1789ee9efeb3b9ebc68275262e7eaf8da3d0bdf3 | 1d0bcc9edd4b425ab68145ddcad446bbddf40b77 | refs/heads/master | 2023-04-20T15:47:47.876228 | 2021-05-10T07:53:01 | 2021-05-10T07:53:01 | 339,379,562 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 711 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 24 18:02:50 2020
@author: victor
"""
import numpy as np
import matplotlib.pyplot as plt
# Create data
N = 60
g1 = (0.6 + 0.6 * np.random.rand(N), np.random.rand(N))
g2 = (0.4+0.3 * np.random.rand(N), 0.5*np.random.rand(N))
g3 = (0.3*np.random.rand... | [
"victorarroyo@correo.ugr.es"
] | victorarroyo@correo.ugr.es |
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