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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8ed3f5a01919bae2b65fd2af71bf60e498544062 | 342031941504a79471af32eeaacbc8d345eebca0 | /Zadanie2/loty/models.py | 40f8bcb4123db053bead55fbd3a28bdefefe93c7 | [] | no_license | Kammsy/appWWW | 8ba72043cbfbf299d42598567198ae94c50737ff | 14bfbf5d9441ae1a889619a352f4ca1c6c69edd6 | refs/heads/master | 2020-03-27T22:48:09.911652 | 2018-09-04T17:46:58 | 2018-09-04T17:46:58 | 147,261,886 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 714 | py | #coding=utf-8
from django.db import models
class Pasazer(models.Model):
imie = models.CharField(max_length=42)
nazwisko = models.CharField(max_length=42)
class Meta:
unique_together = (('imie', 'nazwisko'),)
class Samolot(models.Model):
znaki_rejestracyjne = models.CharField(max_length=50, un... | [
"sz383558@students.mimuw.edu.pl"
] | sz383558@students.mimuw.edu.pl |
13a0dc94977bf3bd54cb59287a041c7289d7e809 | 37585359073b3f2a6fe1d7fe9b10dfa4486bc02e | /djeer/urls.py | 0ad86affc913a58e6ff776c57274fe5fb6cf5e43 | [] | no_license | rubyhome-solutions/djeer | 9aad145200de05bc23838029781745744ec51938 | c745b7f0faf89d3240bd45ce8545658e28dd315b | refs/heads/master | 2021-06-11T09:53:32.665115 | 2017-02-26T00:04:23 | 2017-02-26T00:04:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 984 | py | from django.conf.urls import url, include
from djeer_auth import views
from django.contrib import admin
urlpatterns = [
url(r'^admin/', include(admin.site.urls)),
url(r'^$', views.main_page, name="main"),
url(r'^lostpet_admin_login/$', views.login, name="login"),
url(r'^logout/$', views.logout, name... | [
"coralisland8327@gmail.com"
] | coralisland8327@gmail.com |
97f69ec49c421509df9b9ef2b9c6785bdb0dafc5 | 9ee327caec1165ff7c70ddb2d792388e5b6be3b5 | /src/utils.py | 3f6760f2bbaa8f8ed1b93a1ca48119143e7a1ec2 | [] | no_license | nicktao9/AgriculturalDiseaseClassification | 62a0f5c1b8301c431e6c4435abcb4dda0897210b | f505aad04b7d421bbb2d2c91f75e02813a2f8dc7 | refs/heads/master | 2020-04-06T18:00:42.357728 | 2018-11-15T09:28:42 | 2018-11-15T09:28:42 | 157,681,631 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,289 | py | import sys, os, time
import visdom
import time,glob
import numpy as np
import cv2,json,shutil
import logging
from tqdm import tqdm
""" Create a new dir """
def create_folder(fd):
if not os.path.exists(fd):
os.makedirs(fd)
""" Visuallizer Module """
class Visualizer(object):
"""
封装了visdom的基本操作，但是你仍然... | [
"taolianjie007@163.com"
] | taolianjie007@163.com |
2358001a8b8e2de4a23fb90ca93ca55a3ac626f2 | a2a9260526e0c2a20cb08bcad693d8bddb47d420 | /lib/python2.7/site-packages/allauth/socialaccount/providers/facebook/tests.py | 854d1c9745eeae47e94d54a3ac1351b41485b93a | [] | no_license | shubh3794/Processing-Payment | 42df51fb0e582d573fbfd030125f27b8c4464263 | 81c0223889a450f4d023d91eb2890e385afd198b | refs/heads/master | 2021-01-10T03:50:38.727002 | 2015-11-25T20:56:41 | 2015-11-25T20:56:41 | 46,883,262 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,194 | py | import json
from django.core.urlresolvers import reverse
from django.test.utils import override_settings
from django.test.client import RequestFactory
from allauth.socialaccount.tests import create_oauth2_tests
from allauth.tests import MockedResponse, patch
from allauth.socialaccount.models import SocialAccount
from... | [
"shubh.aggarwal.37@gmail.com"
] | shubh.aggarwal.37@gmail.com |
4a47b93956005fbcfc0bdd1b548ae397f80962e4 | ac255a4ddae0644b7599531b69d5cd34c855358c | /yt-corey-schafer/2-strings.py | 193a1f3e3c2c590b987bf78bde4c03a746338470 | [] | no_license | mickosav/python | 23bc992a83324395f88b8e6a6cf7d6a9f42c9f1e | 16c381c9edcdcb29f835d02eac8e15d84c186fa9 | refs/heads/master | 2020-08-25T09:09:33.938495 | 2020-03-10T12:21:06 | 2020-03-10T12:21:06 | 216,989,880 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 870 | py | message = 'Hello Micko'
message_multiline = '''bla bla blalalll
hello lsakdjfl '''
print(message)
print(message_multiline)
print(len(message)) # length
print(type(message)) # -> <class 'str'>
print(message[0])
# slicing:
print(message[0:5]) # from (including) - to (excluding)
print(message[:5]) # from start
print(mes... | [
"mickosavovic@gmail.com"
] | mickosavovic@gmail.com |
e604b54ca604aa75d3c6c934157d6ccf8bcba3f2 | 85ce6f5af5ecbaa3b3f1455cfd91c672bdec595b | /Foundational_data_structures/Array.py | bdfd9c4473e1c60413895684516729d16afede6f | [] | no_license | c1lo/DataStructures_Algorithms | 26eeee2e0d9feae75a38a16145e89e1713773ca1 | e62fb71884791682dd8677ee2ac8aebe58ea87b0 | refs/heads/master | 2021-01-25T07:18:51.670186 | 2014-09-04T15:53:02 | 2014-09-04T15:53:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,886 | py | __author__ = 'xiyilo'
class Array(object):
"""
extending Python lists - an array class
"""
def __init__(self, length=0, baseIndex=0):
assert length >= 0
self._data = [None for i in xrange(length)]
self._baseIndex = baseIndex
def __copy__(self):
result = Array(len(s... | [
"xiyigm@gmail.com"
] | xiyigm@gmail.com |
cde76863a99e655e46b43112532dd7da3bcc13d4 | 1bde0c807f17fc431b04b4b9cb338ee3acd34b7d | /.history/predict_20210713124241.py | 7c01488a87ec48a2cd94cb2965aba58fb29d0d56 | [] | no_license | Harrysibbenga/Pytorch-NLP | cf9d7e6376d5e19929e6703c3342c81c1a128be1 | 6f22f6ac5f2bf37f27ed2d6285f3a154eda4b566 | refs/heads/main | 2023-06-19T22:43:35.513874 | 2021-07-14T19:45:15 | 2021-07-14T19:45:15 | 385,595,855 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 822 | py | from model import *
from data import *
import sys
rnn = torch.load('char-rnn-classification.pt')
# Just return an output given a line
def evaluate(line_tensor):
hidden = rnn.initHidden()
for i in range(line_tensor.size()[0]):
output, hidden = rnn(line_tensor[i], hidden)
return output
def pre... | [
"sibbengaharry@gmail.com"
] | sibbengaharry@gmail.com |
60c9db8974c4fcdaf3f0fc22cf0b0a1ad6083ca1 | 5095a2cbc3fea5b63b6f3cabf4ae1bd930cdb479 | /영동/16_숨바꼭질.py | 68332c98c92b749a3fb174e52d26d5d881b07e15 | [] | no_license | syeeuns/week03 | a198150d94caf772d6421b4adf6d8e28793853db | cf40b994fa285800854bac07b7ef86ad5dbdf35a | refs/heads/master | 2023-02-06T13:13:11.012967 | 2020-12-31T04:14:10 | 2020-12-31T04:14:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py |
from collections import deque
N,K = map(int, input().split())
Max=10**5+1
queue=deque([N])
D=[[-1]*2 for _ in range(Max)]
D[N][0]=0
T=[K]
z=K
while queue:
v = queue.popleft()
for newv in [v-1,v+1,v*2]:
if 0<= newv < Max and D[newv][0]==-1:
queue.append(newv)
D[newv][0]=D[v][0]... | [
"zeroistfilm@naver.com"
] | zeroistfilm@naver.com |
a1a6c80785ed6ba981a14c5ae605f4d0ebb50942 | 916482a48a92247a3735e11ebb60448e1d90453f | /YellowFin-master/parsing/nbest_parse.py | 601548575904ea662212b964829ee9c430001700 | [
"MIT",
"Apache-2.0"
] | permissive | w-zm/DeepAndCrossNetwork-TF | bb32c5cc2ad7e26ca29dbc9213ebaa4e156075c6 | f2e117b7167dd797b3470f2c2a7db660a9cb4964 | refs/heads/master | 2020-05-31T17:38:47.522642 | 2019-06-12T02:26:00 | 2019-06-12T02:26:00 | 190,413,924 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 389 | py | from __future__ import print_function
import fileinput
from bllipparser import RerankingParser, Tree
if __name__ == '__main__':
rrp = RerankingParser()
parser = 'wsj/WSJ-PTB3/parser'
rrp.load_parser_model(parser)
for line in fileinput.input():
tokens = Tree(line).tokens()
nbest = rrp.parse(tokens)
... | [
"354242964@qq.com"
] | 354242964@qq.com |
56a5981bb2b820c0c1889dba526616846c4b1fb6 | 2afb28eabc992f4f3fec48f0ec91be7459a51a31 | /flask/models/knn.py | 9a39613331e9a5ae7ecbbda59501f4ef0e85e8c7 | [
"MIT"
] | permissive | LanceZhu/deep-learning | d3088d40d4c7f04ee82d23c339d46ac69a222bab | a1d8554397844ab097e1ae89686acb6d4dcc524d | refs/heads/master | 2023-02-04T10:14:26.634857 | 2020-12-24T06:57:52 | 2020-12-24T06:57:52 | 315,268,712 | 0 | 0 | MIT | 2020-12-05T14:28:49 | 2020-11-23T09:48:57 | Python | UTF-8 | Python | false | false | 574 | py | # -*- coding: utf-8 -*-
import pickle
from torchvision import transforms
input = open('models/state/knn.pkl', 'rb')
clf = pickle.load(input)
input.close()
def transfrom_image(image):
transform = transforms.Compose([
# transforms.Resize((28, 28)),
# transforms.CenterCrop(28),
transforms.ToTensor(),
t... | [
"2937443168@qq.com"
] | 2937443168@qq.com |
43d4d44a3129344e934b24556ad12f994123e98b | 114b2f71e553abc33f7774de00391488c74b1563 | /websocket/tests.py | e6715e95a399eef9667284201cceb8de914e38ce | [] | no_license | 279zlj/Autotest_project | 06589305df696b21e05a4f521a56c8170ec7b327 | 60576bfe56d9a4e76a590bfa3176e196d06dbeed | refs/heads/master | 2022-12-14T03:42:49.933047 | 2018-08-28T03:15:53 | 2018-08-28T03:15:53 | 146,384,029 | 0 | 0 | null | 2022-12-08T02:23:10 | 2018-08-28T03:00:05 | JavaScript | UTF-8 | Python | false | false | 3,608 | py | from django.test import TestCase
from client.c_client import Client
# Create your tests here.
import json
import sqlite3
import time
# def save_data(data_response):
# con = sqlite3.connect("D:\Autotestproject\Autotest_project\db.sqlite3")
# cur = con.cursor()
# cur.execute('insert into \
# ... | [
"13414101644@163.com"
] | 13414101644@163.com |
613e5477e30db6c4b12634643777cb4c219c3749 | 8cc910f12ccacd2926a1b26a4f2e10d107a99c8b | /bots/tejbot1.py | 87bc56f743d27dc573f4d13f7273138df56bbeb2 | [] | no_license | gkanwar/pokerbots2018 | a25f8e9e0e3eceb093363a5fbfee40d3fdc2d671 | ce7632c8cd98d1e2971b5e67d6ba2c63daa3c396 | refs/heads/master | 2021-06-03T09:54:59.220651 | 2021-01-23T06:05:02 | 2021-01-23T06:05:27 | 136,264,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,785 | py | import sys
import random
card_map = {'J': 0, 'Q': 1, 'K': 2, 'A': 3}
# simple probs for bets
pbet = [0.0, 0.0, 0.5, 1.0]
def get_msg():
return sys.stdin.readline().strip()
def get_msg_named(name):
msg = get_msg()
assert msg == name
def get_field():
return get_msg().split(': ')
def get_field_named(name... | [
"gurtej@mit.edu"
] | gurtej@mit.edu |
7c06a594c1fc00a552171de2cf59119db21e4ad4 | 0fa4657ec9211364c7a8429a24ce7a18d5e4549e | /FRNN_pytorch_TTLSTM_noiseaware/loader.py | 4bffc012284d422f2d66b3cd5126071d9db859d4 | [] | no_license | ge-dong/plasma-python | beefbf92fd02f3c255357f1a80b832d940bf640e | 101d810988b39979418fb3dc5973fb4c273313c8 | refs/heads/master | 2021-08-20T05:04:18.185294 | 2021-07-14T16:29:02 | 2021-07-14T16:29:02 | 170,406,172 | 1 | 0 | null | 2019-02-12T23:15:43 | 2019-02-12T23:15:43 | null | UTF-8 | Python | false | false | 36,776 | py | '''
#########################################################
This file containts classes to handle data processing
Author: Julian Kates-Harbeck, jkatesharbeck@g.harvard.edu
This work was supported by the DOE CSGF program.
#########################################################
'''
from __future__ import print_fun... | [
"noreply@github.com"
] | ge-dong.noreply@github.com |
a783106d7327f6e60fc8d1e993174170369d1c56 | 635f10f50b3dc5304c000c1e195e5a1d7504a8e6 | /gpet_api_test/dir_config.py | 5cd909cd922b1fb888c8332d7d98929782778c0b | [] | no_license | zhihuia/TestProjects | 1bd6125c59c34fc980a7b612b935c90accd78ba2 | 87dd88aeca91f54f64c7165fd516eb3b4d331885 | refs/heads/master | 2020-03-24T22:45:51.518962 | 2018-12-20T12:12:46 | 2018-12-20T12:12:46 | 143,101,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | import os
cur_dir = os.path.split(os.path.abspath(__file__))[0] # 文件的目录和文件的名字分离出来
# os.path.abspath(__file__) 获取当前文件的所有路径，返回元组
testcase_dir = cur_dir.replace("Common", "TestCases")
testdata_dir = cur_dir.replace("Common", "TestDatas")
htmlreport_dir = cur_dir.replace("Common", "HtmlTestReport")
logs_dir = cur_di... | [
"moonlightzhihui@163.com"
] | moonlightzhihui@163.com |
9b1a6b196b0755fa7bff3b62d8a6d7f89638b11f | b9a9f1d9a3ef5871b6bd3835e5f2c8f78d79654d | /python/matrix.py | 7092a8ca4eedcf7d38d5afc1456621f1acfe90fa | [] | no_license | Dreamer-WangYiQiang/ExtendedKalmanFilter | d09c0283c2cce1210f702506ea4b6b4e4da7729c | 177a79258f80d187b7056fce48e81450a47b7d30 | refs/heads/master | 2022-04-10T15:00:37.196774 | 2017-06-13T14:46:27 | 2017-06-13T14:46:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,774 | py | """matrix class from Udacity robotics course"""
from math import *
class matrix:
# implements basic operations of a matrix class
def __init__(self, value):
self.value = value
self.dimx = len(value)
self.dimy = len(value[0])
if value == [[]]:
self.dimx = 0
... | [
"wilbur@MacBook-Pro.local"
] | wilbur@MacBook-Pro.local |
30fff796f8fcfc32f7125d4357b9e6bb99834655 | 9222711ab110cf180997e8b3af8e784ebd4ebf9c | /Message.py | 317ece43fd5ba1d8df5508bfa254fa92fe0925d2 | [] | no_license | MaxHXie/twittersentiment | e2184786b8f256f29abdc4ab5eb6792a1f8f5d63 | 18b6b2884f3a72a7974caa478456671245128f89 | refs/heads/master | 2020-04-17T09:23:25.299362 | 2019-01-19T18:53:59 | 2019-01-19T18:53:59 | 166,455,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,536 | py | #Now we want to make a class for each datapoint, i.e. messages
import re
from nltk.stem import WordNetLemmatizer
from nltk.tokenize.casual import TweetTokenizer
from nltk import pos_tag
from nltk.corpus import wordnet
import copy
class Message:
def __init__(self, text, true_sentiment=None, n=2):
try:
... | [
"noreply@github.com"
] | MaxHXie.noreply@github.com |
8f3fd56d7fcc53dff4b0a0f3e9943652e4108514 | 9e70af68afebb05e66381e4f6a978eb1b7589c46 | /mywork/testsurface.py | 9c9f460c955f27a1e39564e43c413a7f23928d5c | [] | no_license | OuYangMinOa/space-Physic | cbca14b3948ac204c35327fbb9cc6ab9eb704d76 | e8e6ec7379a8cecb944add6dbbbee213dae1b018 | refs/heads/master | 2022-11-11T08:09:59.844261 | 2020-06-28T20:14:24 | 2020-06-28T20:14:24 | 275,657,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 745 | py | import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np
from netCDF4 import Dataset
import os
m = Basemap()
m.drawcoastlines()
m.fillcontinents()
m.drawparallels(np.arange(-90,90,30),labels=[1,1,0,1], fontsize=8)
m.drawmeridians(np.arange(0,360,30),labels=[1,1,0,1], rotati... | [
"noreply@github.com"
] | OuYangMinOa.noreply@github.com |
0dd0fb2d347482fcc39221d04b6a381dab6cd16f | d87acfc6fa8dcf71ac26eebbd6069a938222efc3 | /captum/attr/_core/lrp.py | b40829da9c388417e8b280a4ee94afa8983edfd2 | [
"BSD-3-Clause"
] | permissive | pytorch/captum | aedeec58d34c7611ae8928144e9f2314f820c1ca | 945c582cc0b08885c4e2bfecb020abdfac0122f3 | refs/heads/master | 2023-09-04T08:49:54.120380 | 2023-07-08T00:30:37 | 2023-07-08T00:30:37 | 204,734,444 | 4,230 | 491 | BSD-3-Clause | 2023-09-08T17:58:15 | 2019-08-27T15:34:41 | Python | UTF-8 | Python | false | false | 18,328 | py | #!/usr/bin/env python3
import typing
from collections import defaultdict
from typing import Any, cast, List, Tuple, Union
import torch.nn as nn
from captum._utils.common import (
_format_output,
_format_tensor_into_tuples,
_is_tuple,
_register_backward_hook,
_run_forward,
)
from captum._utils.grad... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
82e414689a322c8ca38f282d715bc5d4643919dd | 03437ed05cb3af69634d7c845d59cdeac479029a | /dashboard.py | 1e5f1316706e7db975754ea684c19830f6b53142 | [] | no_license | theotheo/whooshhack | 0ff4d9bc17a01ed2757b40a9e90ab8772822f45d | e5710eac8fea5bcbfa413496cba28fc520f9ceba | refs/heads/main | 2023-06-25T03:58:43.568016 | 2021-07-18T16:31:48 | 2021-07-18T16:31:48 | 387,151,076 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 440 | py | # %%
from keplergl import KeplerGl
map_ = KeplerGl(height=500)
map_
# %%
map_.add_data(data=gdf_lines, name="segments")
# %%
import geopandas as gpd
gpd.read_file('sample_route2.json')
# %%
points = gpd.read_file('points_sample.json')
map_.add_data(data=points, name='points')
# %%
map_
# %%
with open('kepler_conf... | [
"ibelyalov@yandex.ru"
] | ibelyalov@yandex.ru |
7b57a819c8050165d39822e26efb9a39926a2dc9 | 52b979c22057c06f12c7b84e4b9d3b52d3aa01db | /17340027-姚洁倩-p2/test.py | aceb539f2754eb560d2e5dc42a4a5c5ab8cbb443 | [] | no_license | EssieYiu/Python | c845866f3312ebe7927f4d19b55c5d119c2d850b | 9f2e66882bfe1ddb8d98f213c5e227e0f3148f6e | refs/heads/master | 2023-04-15T03:42:37.205622 | 2019-07-17T15:44:47 | 2019-07-17T15:44:47 | 180,075,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | def error():
raise ValueError
if __name__ == "__main__":
try:
error()
except:
raise ValueError | [
"31929622+EssieYiu@users.noreply.github.com"
] | 31929622+EssieYiu@users.noreply.github.com |
35bfbf1eff018366c3caf857dbf59ab9b9487ae2 | abdc7868bc1c788f86ce261e162181cce2c434ee | /app/src/auth/routes.py | 8325a61a9ee4d06ff272e57932458f842f96a315 | [] | no_license | felipefujioka/shared-pool | 0b0e6419cf2acd143c24e89ce0c7dd40cd863164 | faa55462e7d45e42bdf30817212fe4bb6fb0a8a4 | refs/heads/master | 2021-07-09T14:52:15.416093 | 2017-10-11T03:24:39 | 2017-10-11T03:24:39 | 106,208,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,110 | py | import flask
from main import app
from db.util import session
from auth.models.user import User
from auth.models.password_credential import PasswordCredential
import scrypt
import decorators.validate
import os
import errors
create_user_schema = {
"type": "object",
"required": [
'name',
'email'... | [
"felipefujioka@gmail.com"
] | felipefujioka@gmail.com |
2b7b1e3cfa9dbc03cc1d297534895c8a4362ab7a | 3fa27b3ad1c1ca90f2bcf311d89fe8c2ca241cb4 | /Location/models.py | 86164283ca0e8eeb3356a4bbbb87c92cee61e3a0 | [] | no_license | emperorDuke/django-backend-for-ecommerce | 717e15d7be899abcd5a4b7a7d2203c612f001aeb | 83c1ca4d016d876a5c8711ac5cdc448d5a4a533d | refs/heads/master | 2023-02-10T08:57:17.852721 | 2021-01-02T15:49:07 | 2021-01-02T15:49:07 | 271,039,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 869 | py | from django.db import models
from django.utils.translation import gettext_lazy as _
from phonenumber_field.modelfields import PhoneNumberField
# Create your models here
class Location(models.Model):
address = models.CharField(_('address'), max_length=100, blank=False)
city = models.CharField(_('city'), max_l... | [
"effiomduke@gmail.com"
] | effiomduke@gmail.com |
1da1fd2e67831c1909851618b9f0eaf85642ad9e | 3b451e8de359659a1648b95f86372549f29a193c | /super_z_avg_across_songs.py | b70e68647b04cb7f39162ec24336c5be45ffe3df | [] | no_license | jamalw/music_event_structures_bucket | 33dc0c5ffba46ab5a978a04268f88103148d2476 | 8ad5e9b2d767a3771cc618c061fbcb22f942cd51 | refs/heads/master | 2022-08-22T00:20:45.859935 | 2022-08-15T14:48:22 | 2022-08-15T14:48:22 | 126,224,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,313 | py | import numpy as np
import sys
import os
import nibabel as nib
import glob
import scipy.stats as st
datadir = '/jukebox/norman/jamalw/MES/prototype/link/scripts/data/searchlight_output/HMM_searchlight_K_sweep_srm/'
nii_template = nib.load('/jukebox/norman/jamalw/MES/subjects/MES_022817_0/analysis/run1.feat/trans_filte... | [
"jamalw@princeton.edu"
] | jamalw@princeton.edu |
db51449844ace1e60c6dbd69885b32550e1fbfec | 67bb016404d1edbbe6e5c7e630d60131dac8fd54 | /modules/system/modules.py | ee6c81e1ad3fa956e69768d42dcb4f74e79c4b60 | [] | no_license | switchswap/discord-senko | ad6a6def1a3fe70c3bae3616a33242aba4e9e307 | b525cb7f9ffc90cffa75edb05673f81a39adc209 | refs/heads/master | 2022-01-06T22:15:19.617826 | 2019-04-26T16:54:12 | 2019-04-26T16:54:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | import traceback
from discord.ext import commands
from discord.ext.commands import ExtensionError
from core.util.globals import module_dir
class Modules(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.group(name='module')
async def module_group(self, ctx):
if ctx.invoked... | [
"Jannis.Becker@stud.hshl.de"
] | Jannis.Becker@stud.hshl.de |
5a4f5930ce92934a8286651c8650f298be3f3fb1 | 9c03b9188b711097fb40c2170626ac762b3d9aaf | /python3/mymodule_demo.py | dc80ee27f1d36287a6decc400a9009bbcfc1f352 | [] | no_license | andrewnezhivy/learn_python | 9e92a826864b1876f5f24aff47b980b4ecc25c93 | 6f37d32469ed84681c05afaf34cade4eb411f3d8 | refs/heads/master | 2020-12-03T02:45:14.690632 | 2016-09-02T02:50:58 | 2016-09-02T02:50:58 | 66,676,448 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | import mymodule
mymodule.say_hi()
print('версия', mymodule.__version__)
| [
"andrew.nezhivy@yandex.com"
] | andrew.nezhivy@yandex.com |
3203acaae91aa63994c898368f666ee31aab675b | d0d31ff386f0295075a786ad15c04c171fc979cb | /weeklyc/database.py | 884b6e609d5898e2d8753b96e0244ea7ba22bcac | [] | no_license | ewitz/EPA_Water_App | e5c2770b983f9e47ca837e5c61ec55be3657e447 | 8b644cefc70a03ddb5734692eda661b7dbe5271e | refs/heads/master | 2020-05-26T02:30:26.424241 | 2013-06-07T19:23:11 | 2013-06-07T19:23:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,523 | py | from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('sqlite:///weeklyc.db', echo=True)
db_session = scoped_session(sessionmaker(autocommit=False,
autoflush=Fa... | [
"emilliot@mail.usf.edu"
] | emilliot@mail.usf.edu |
504ef30ee0168bc45ae83697c4235349baea0e97 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03636/s442033431.py | c0c4bfde22c431f0bcb92965231ba4426799433b | [] | 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 | 107 | py | strings = list(input())
str_len = len(strings)
print(strings[0] + str(str_len - 2) + strings[str_len - 1])
| [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
634479c49cc8bd8a070f9692c2ad94c1f8c9c7f0 | 2b71e4b33896bde83aa9daa3c56042505cb63220 | /xeri.py | e6015eabaf3a920f04a261cc1d89382d8b259d24 | [] | no_license | xarkouts/xeri-se-python | 9fea568ac4b1509c5db8ef94361ec6d1adf375f6 | 5c0720d571bb55cf1454e9026f070f02ac124d30 | refs/heads/main | 2023-05-08T02:31:30.286608 | 2021-05-23T21:51:05 | 2021-05-23T21:51:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,384 | py | import random
katigories={"Σπαθι","Κουπα","Καρο","Μπαστουνι"}
fila={1,2,3,4,5,6,7,8,9,10,"Βαλες","Νταμα","Ριγας"}
trapoyla={(k,f) for k in katigories for f in fila}
del katigories
del fila
trapoyla=list(trapoyla)
xeri1=[]
xeri2=[]
trapezi=[]
paixtis=2
kerdismena_1=[]
kerdismena_2=[]
def mirasma(t=False)... | [
"noreply@github.com"
] | xarkouts.noreply@github.com |
e2a883be7a61493ac52b48a563af686087b2640a | 9dba277eeb0d5e9d2ac75e2e17ab5b5eda100612 | /19100101/sundyyang/d11_training1.py | 1583902d982bb0769ab8ae4731fc7504566a7143 | [] | no_license | shen-huang/selfteaching-python-camp | e8410bfc06eca24ee2866c5d890fd063e9d4be89 | 459f90c9f09bd3a3df9e776fc64dfd64ac65f976 | refs/heads/master | 2022-05-02T05:39:08.932008 | 2022-03-17T07:56:30 | 2022-03-17T07:56:30 | 201,287,222 | 9 | 6 | null | 2019-08-08T15:34:26 | 2019-08-08T15:34:25 | null | UTF-8 | Python | false | false | 875 | py |
# day 11
import requests
import getpass
import yagmail
from pyquery import PyQuery
from mymodule import stats_word
# 提取微信公众号正文
response = requests.get('https://mp.weixin.qq.com/s/pLmuGoc4bZrMNl7MSoWgiA')
document = PyQuery(response.text)
content = document('#js_content').text()
# 应用 stats_word 方法提取前100个词
day11 = s... | [
"6396023+realcaiying@users.noreply.github.com"
] | 6396023+realcaiying@users.noreply.github.com |
093ee2463b1a86d455d7fd106f214c73722c2ee1 | 503d2f8f5f5f547acb82f7299d86886691966ca5 | /atcoder/abc172_a.py | b5c6641365ed028613ce1898499a4b6fd7f432d3 | [] | no_license | Hironobu-Kawaguchi/atcoder | 3fcb649cb920dd837a1ced6713bbb939ecc090a9 | df4b55cc7d557bf61607ffde8bda8655cf129017 | refs/heads/master | 2023-08-21T14:13:13.856604 | 2023-08-12T14:53:03 | 2023-08-12T14:53:03 | 197,216,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 751 | py | # https://atcoder.jp/contests/abc172/tasks/abc172_a
# import sys
# def input(): return sys.stdin.readline().rstrip()
# input = sys.stdin.readline
# input = sys.stdin.buffer.readline
# from numba import njit
# from functools import lru_cache
# sys.setrecursionlimit(10 ** 7)
# @njit('(i8,i8[::1],i4[::1])', ca... | [
"hironobukawaguchi3@gmail.com"
] | hironobukawaguchi3@gmail.com |
a5dfe239bc5a69803127534a8d77267c8a7e6705 | 2307893a2b706d3e3e387cb5f20117213460fc21 | /Exercises/Module 05/exercise_33.py | c894365e2e769d909613264428b94517d486702a | [] | no_license | caiquemarinho/python-course | a5e3447b676365e5f49297a51830ce5fee089199 | 2863f77dff77712422d0f60adf00483806fcc040 | refs/heads/master | 2023-06-09T10:53:44.988594 | 2021-06-21T13:28:04 | 2021-06-21T13:28:04 | 378,922,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 802 | py | """
Receive a product and change it's price according to the table.
0 - 50$ -> 5%
50 - 100 -> 10%
100 + ->15%
"""
print('Insert the product price')
product = float(input())
# Finding out the new price of the product.
if product < 50:
new_price = product+(product*0.05)
elif (product >= 50) and (product <= 100):
... | [
"caiquealfonso@gmail.com"
] | caiquealfonso@gmail.com |
06f0db0e55ef80709480a68ce7ca0c408e0efc04 | c73f1e73c937e556c96b072d99019b7af94d113f | /P1/UDPServer.py | 6d9dab5ba29a78b3bdd7b6de3e92862e6c909a09 | [] | no_license | sicsic1997/Retele-Tema2 | 33c24c0e715a2374ce0442048a006e1038bb9f08 | 21b2f912a78ddfb56b4e7240ac10af7fe12dbe46 | refs/heads/master | 2020-03-18T20:20:40.841762 | 2018-05-28T21:12:10 | 2018-05-28T21:12:10 | 135,209,115 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,055 | py | from socket import *
import pickle
import hashlib
import sys
import os
import math
import time
serverIP="0.0.0.0"
serverPort=10000
serverAddress=(serverIP, serverPort)
serverSocket=socket(AF_INET,SOCK_DGRAM)
serverSocket.bind(serverAddress)
serverSocket.settimeout(3)
print "Ready to serve"
#initializes packet variab... | [
"vlad.coteanu@mindit.ro"
] | vlad.coteanu@mindit.ro |
1c7014d54f9884059212afadf8db1114596f9b5d | 5d43552534b89c81e57e0c04c59af5c94b223d71 | /studentinfoproject/testapp/migrations/0001_initial.py | 62296d817476b2000e9135829959dd80ebfaf74a | [] | no_license | Prachithakur27/Django | d9fee9ac4647c75e0a22f2dd7256e73d9591fc2f | 7e1d7cd8f8a65d0ba711ef1937538749497b4231 | refs/heads/master | 2023-01-02T07:49:35.084678 | 2020-10-31T15:08:18 | 2020-10-31T15:08:18 | 286,936,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 799 | py | # Generated by Django 3.0.8 on 2020-08-15 20:06
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Student',
fields=[
('id', models.AutoField(... | [
"prachi.pthakur27@gmail.com"
] | prachi.pthakur27@gmail.com |
bd453b1be551ac68730e7f3d719b9c710a458ed0 | a5a49c0dadc7cf42800c7004cb2324416aed671c | /fakecsv/urls.py | 1e73f8da05cb7a77d32ace2bcbadc0085295da12 | [] | no_license | imanov21/csv_gen | 6064f778df9d40b942a5c1c07868fd3312d554af | 23ee39340606954c50f64745b33ffb9efaa69a65 | refs/heads/master | 2023-05-28T18:05:26.021467 | 2021-06-10T14:22:23 | 2021-06-10T14:22:23 | 375,718,064 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 958 | py | from django.urls import path
from fakecsv.views import DataSchemasListView, \
DataSchemaDeleteView, DataSchemaCreateView, DataSchemaUpdateView, \
data_sets_view, generate_csv, download_csv, check_task_status
urlpatterns = [
path('', DataSchemasListView.as_view(),
name='data_schema_list'),
pat... | [
"antony.imanov@gmail.com"
] | antony.imanov@gmail.com |
7086db00aaf5f716ceea92538aadd40b33777e8e | d6e481f8dea60a0814888b47f540be375771b758 | /train.py | 3e7d7744033e0a558dba13ac2991ab04125d344e | [] | no_license | Gogs2/Depression-Detection-in-Reddit-Posts | 2d6185d65ce10d67cb321fb8d6aadf88a4ee6711 | 6570a776160bbbbf257c1efbc95b706663a3991a | refs/heads/master | 2020-08-07T13:27:51.150881 | 2019-10-07T19:24:33 | 2019-10-07T19:24:33 | 213,468,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,239 | py | import pandas as pd
import collections
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics import recall_score, precision_score, accuracy_score, f1_score
from sklearn.utils import class_weight
from keras.models import Sequential
from keras.layers import ... | [
"gjorgji.chepujnoski@gmail.com"
] | gjorgji.chepujnoski@gmail.com |
4a13df491ffd209b82623d757ca0aafda56fb96b | 02fc29f7c9f4fd6cbe3a6afbbef1554fb0e7a3ca | /genienlp/model_utils/optimizer.py | 123188628fbaed151cbeb5440050586a280ffac2 | [
"BSD-3-Clause"
] | permissive | stanford-oval/genienlp | 8f8f14924dc379e413de4e37ae206ed0a391e8cc | 8ad64f6d20f45b31c8d1de262570ecc840316c58 | refs/heads/master | 2023-07-14T01:59:30.072402 | 2023-04-04T18:19:57 | 2023-04-04T18:19:57 | 237,029,113 | 82 | 24 | NOASSERTION | 2023-06-26T13:57:29 | 2020-01-29T16:26:43 | Python | UTF-8 | Python | false | false | 3,349 | py | import math
from functools import partial
import torch
from transformers import (
Adafactor,
AdamW,
get_constant_schedule_with_warmup,
get_cosine_schedule_with_warmup,
get_linear_schedule_with_warmup,
get_polynomial_decay_schedule_with_warmup,
)
def get_transformer_learning_rate(i, *, dimensi... | [
"mehrad@stanford.edu"
] | mehrad@stanford.edu |
85075fe45559a79929a08d27a2d5af734d36dc76 | abd70ecf747decdd24077b544657642f6b07cdee | /method/utils/adjustAccounting.py | f5963fee92b58c259c3476bde88a3eca5c59a669 | [] | no_license | mokusen/chms | 3925ffeb52d7f3b314682a80ede0c1d9d7e951d5 | 60144b224b82464d1c7014b9bfcb6502e94b47d1 | refs/heads/master | 2020-04-09T02:30:52.792981 | 2019-01-09T15:05:45 | 2019-01-09T15:05:45 | 159,943,760 | 0 | 0 | null | 2018-12-29T04:49:10 | 2018-12-01T12:46:49 | Python | UTF-8 | Python | false | false | 570 | py | def adjust_accounting(adjust_list):
"""
sql側に渡す前に型変換を行う
Parameters
----------
adjust_list : list型
[id, use, money, year, month, day]
Returns
-------
adjust_list : list型
[id(int), use(str), money(int), year(int), month(int), day(int)]
"""
adjust_l... | [
"kikawa.tech@gmail.com"
] | kikawa.tech@gmail.com |
70020790ef3e5c40c205d85214c30921aa11259a | d0f78233d2436c7976256171696af005ce085118 | /blogs/api_urls.py | 46e09ada4938bbe11ce755bc0f6cd5b136e8b913 | [] | no_license | mvelezserrano/wordplease | 487cfccea864b6f4d3cd14b20d1c86760748ed5f | 37c7507082d7df14c256a73f5124561dcc16c8fc | refs/heads/master | 2021-01-16T18:44:25.180055 | 2015-07-26T20:41:01 | 2015-07-26T20:41:01 | 39,739,170 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 527 | py | # -*- coding: utf-8 -*-
from blogs.api import PostViewSet, CreatePostViewSet, BlogViewSet
from django.conf.urls import include, url
from rest_framework.routers import DefaultRouter, SimpleRouter
# APIRouter
router = DefaultRouter()
router = SimpleRouter(trailing_slash=False)
router.register(r'blogs/(?P<user>[A-Za-z0... | [
"mvelezserrano@outlook.es"
] | mvelezserrano@outlook.es |
63dacef7d72dc5d5511e9f17298d93a569363f34 | 3e3444911c9771186034a2ee68f3f3eae6dfdd4d | /binarySearch.py | b30f5bf6dbf0cb7ffaff7b71e21c653efc5e1f9b | [] | no_license | ChristopherParke/FunWithAlgorithms | d3ab9ad59b40d5ab7901cbeb408beb840453496a | 44b09c8e8a9034b2662df181211c86c483d48834 | refs/heads/master | 2022-02-14T06:54:08.204590 | 2019-09-04T00:09:39 | 2019-09-04T00:09:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | import math
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97]
xmin = 0
xmax = len(primes) - 1
target = 67
iteration = 0
def binarySearch(primes, xmin, xmax, target, iteration=0):
"""
This search method is the binary search method. It is a common algorit... | [
"christopherparke@zoho.com"
] | christopherparke@zoho.com |
7135c0afb6b60fbba69ff48e0365b1ccc6c5dcdd | a21d9303e155fdb9845d67f0a888b70a9cd95d51 | /api/serializer.py | 943d43f63eeef0a362803fb204eca85f09acf12c | [] | no_license | saisai/Implementation_logger | dafa188507b64a3776b9228d37c22ae20a5a87f2 | 373f233cebf64a8c7dba8a0d75812f6480fbe61a | refs/heads/master | 2020-08-05T22:52:52.295716 | 2019-10-04T05:31:06 | 2019-10-04T05:31:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | from rest_framework import serializers
from api.models import *
class groupSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = group
fields = ('groupName', 'config')
class devicesSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = devices
... | [
"jdejonge@protonmail.ch"
] | jdejonge@protonmail.ch |
63f0d8e6153c3ec5586eebed9a64301c1e43753b | 2985230e6542361c1a63ff4bea0283951f256599 | /setup.py | f7fed0d0b923b39819d1a0339aa179b360100e97 | [] | no_license | Stonesth/TOS-3087 | 7053c486e87e91d35bd1f15748d3e5e23348f742 | 8c4fd5c3d5f45751f77eba67d6aac1f21c3f711a | refs/heads/main | 2023-02-26T11:13:08.338497 | 2021-02-01T15:35:48 | 2021-02-01T15:35:48 | 334,964,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | from cx_Freeze import setup, Executable
setup(
name = "tos-3087",
version = "0.1",
description = "",
executables = [Executable("tos-3087.py")]
)
| [
"pierre.thonon@gmail.com"
] | pierre.thonon@gmail.com |
e8bb363682e5f8e63ac0e56a986076f1e43f91b6 | 7722c0c2d616af965124120c76bed472900d48bf | /build/pi_io/cmake/pi_io-genmsg-context.py | 093469fa89dd16ff069e8425074390da5c5219da | [] | no_license | EdisonAltamirano/Turtlebot_Mapping | f1cfb190b5a239d0e0bb4932e766cce1ec6c42ba | cfb98058745e5fbf84b2388254dbad2d045362ef | refs/heads/master | 2022-11-13T11:48:27.915328 | 2020-07-06T00:02:45 | 2020-07-06T00:02:45 | 276,209,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 602 | py | # generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/edison/turtle_ws1/src/pi_io/msg/gpio_input.msg"
services_str = "/home/edison/turtle_ws1/src/pi_io/srv/gpio_output.srv"
pkg_name = "pi_io"
dependencies_str = "std_msgs"
langs = "gencpp;geneus;genlisp;gennodejs;genpy"
dep_include_paths_str = "pi_i... | [
"a00825234@itesm.mx"
] | a00825234@itesm.mx |
44978164b8c3e675e86d3cda878b105b9f15fec3 | 5edf9d401178bbf8839119904a8998f8bc676293 | /minesweeper/minesweeper.py | 6e8c52045ff76ecbe7899a756cdb841842017f5d | [] | no_license | cheikh93/MES_PROJET_IA | 33a22c8c4223340e89811cc12c8b4e7675ec99aa | ae230402a1469adfda3dcdd3faf1181795261b4e | refs/heads/main | 2023-06-05T06:16:13.820961 | 2021-06-29T00:03:31 | 2021-06-29T00:03:31 | 348,394,031 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,505 | py | import itertools
import random
class Minesweeper():
"""
Minesweeper game representation
"""
def __init__(self, height=8, width=8, mines=8):
# Set initial width, height, and number of mines
self.height = height
self.width = width
self.mines = set()
# Initializ... | [
"noreply@github.com"
] | cheikh93.noreply@github.com |
c7c31a8ca0369dd548fae8e2fb9f805dc9644a40 | 45ba180dd7069a34aea8f64090c09582cfe88f81 | /build/universal_robot/ur3_e_moveit_config/catkin_generated/pkg.installspace.context.pc.py | 5dd389a4fa0bacbccb19bcb7da5760746da17ed6 | [] | no_license | ylliu/aubo_robot | a1e40977c57e77a3c6a4d1e0de40cecc5c56280d | fec6eee61063b0655f741ef4437c70c16aaa052b | refs/heads/main | 2023-03-28T08:46:04.851614 | 2021-03-28T10:33:44 | 2021-03-28T10:33:44 | 349,738,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 382 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "ur3_e_moveit_config"
PROJECT_SPACE_DI... | [
"1065656821@qq.com"
] | 1065656821@qq.com |
3a332e60dcd0d31aa40dd5f4b190704f255a6135 | 9d484077026b7fcf26188d77281f573eaec1f1d3 | /scripts/adhoc/dendrogram_cuts.py | fef1177f5d92df2b34a79f14c35a9204d2660122 | [] | no_license | gaberosser/qmul-bioinf | 603d0fe1ed07d7233f752e9d8fe7b02c7cf505fe | 3cb6fa0e763ddc0a375fcd99a55eab5f9df26fe3 | refs/heads/master | 2022-02-22T06:40:29.539333 | 2022-02-12T00:44:04 | 2022-02-12T00:44:04 | 202,544,760 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 582 | py |
plt.figure(figsize=(10, 4))
ax = plt.gca()
hierarchy.dendrogram(z, no_labels=True, color_threshold=0., above_threshold_color='k')
ax.axis('off')
plt.tight_layout()
plt.savefig('methyl_dendrogram_%dcuts.png' % 0, dpi=200)
for i in range(2, 7):
c = clustering.dendrogram_threshold_by_nclust(z, i)
plt.figure(figs... | [
"gabriel.rosser@gmail.com"
] | gabriel.rosser@gmail.com |
ded348637281439cb1638b6252d242ecc3bfbddc | 1aa49533c27f114840b528d9ab71dc7322120da0 | /utils.py | 31bce31e3917f3045269b2590ecdaeb448ca4fee | [
"MIT"
] | permissive | yassineAlouini/image-recognition-as-a-service | a18afb2a99dd1d9e3da3e90086d8dbb9d3289bc9 | c85502cdb3828e128415a92cb0564671f038cca8 | refs/heads/master | 2020-09-05T06:53:57.373156 | 2017-12-26T10:07:12 | 2017-12-26T10:07:12 | 94,414,726 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | import logging
logger = logging.getLogger()
handler = logging.StreamHandler()
formatter = logging.Formatter(
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
| [
"yassinealouini@outlook.com"
] | yassinealouini@outlook.com |
aa1b71d24e45defa75b428b775fb1f2ecb43ba1d | 0c4bb0b0c91a6bfb8c6ea529b93a303661bcd625 | /python/table_parse/table_data.py | c6dd3b8e0345ebfde4e1382caa04ecbcd3604d16 | [] | no_license | shahrukhqasim/TIES | 28de4bd962624856e58f5293b5a91427132fa38d | 279ce12ef5303f9428cf72d3f01a1922c7c5d584 | refs/heads/master | 2021-08-23T16:29:02.057736 | 2017-12-05T17:34:55 | 2017-12-05T17:34:55 | 106,605,384 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 844 | py | class TableData:
def __init__(self, tokens_embeddings, tokens_rects, neighbor_distance_matrix, tokens_neighbor_matrix,
tokens_share_row_matrix, tokens_share_col_matrix, tokens_share_cell_matrix, neighbors_same_row,
neighbors_same_col, neighbors_same_cell, conv_features):
se... | [
"ishahrukhqasim@gmail.com"
] | ishahrukhqasim@gmail.com |
c78b87a98e2583ddb065568d9450bf3ea41e6846 | f0db1e2d4a48bfa745edf3a7b817eb6ff8a9ea4a | /test.py | 01a12cd20b363f6f23ce534c58d2eea35608c181 | [] | no_license | AlainBBenoist/GoogleAnalytics | 15a7a0e9d73544a2bbdff6dfdc561f4b2eaf7911 | a52de78e1ae652c24d44b0bacdd1a7b5ed4aff8f | refs/heads/master | 2023-08-22T03:20:55.325180 | 2021-10-01T13:29:44 | 2021-10-01T13:29:44 | 410,386,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,876 | py | # Google libraries
from oauth2client.service_account import ServiceAccountCredentials
from apiclient.discovery import build
class GAReporter() :
def __init__(self, keyfile) :
self.credentials = ServiceAccountCredentials.from_json_keyfile_name('analytics-dibutade.json', ['https://www.googleapis.com/auth/an... | [
"alain.b.benoist@gmail.com"
] | alain.b.benoist@gmail.com |
480869005801ed9c8f1556d209302349a88fc7b2 | 68381f1b06f056f8c897723e2f1a06fcd7c0215c | /notebooks/data_tools.py | 790087d7786f7d530fdba440e7a954ffb21a7832 | [] | no_license | djzelenak/lcmap-science | fa0632d82cd59fa65eba351db4a2cb980bf19f3a | 79c37ec77ca1e4154a6e529712cf71cb9487f681 | refs/heads/master | 2020-12-13T10:14:00.447787 | 2019-06-10T15:18:00 | 2019-06-10T15:18:00 | 234,386,798 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,332 | py | """Some helpful functions for working with TAP-exported data"""
import sys
import warnings
import datetime as dt
import pandas as pd
import numpy as np
from collections import OrderedDict
# warnings.simplefilter('ignore')
mask_values = (1, 96, 112, 160, 176, 224, 352, 368, 416, 432, 480, 864, 880, 928, 944, 992)
d... | [
"dzelenak@contractor.usgs.gov"
] | dzelenak@contractor.usgs.gov |
92c8a0f78906a2f80b77ac6550c0ec6dda1495c7 | 9df2fb0bc59ab44f026b0a2f5ef50c72b2fb2ceb | /sdk/videoanalyzer/azure-media-videoanalyzer-edge/azure/media/videoanalyzeredge/_generated/models/_azure_video_analyzerfor_edge_enums.py | 35371307bdbb6776cf7c3d240b1ac8a296876400 | [
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-generic-cla"
] | permissive | openapi-env-test/azure-sdk-for-python | b334a2b65eeabcf9b7673879a621abb9be43b0f6 | f61090e96094cfd4f43650be1a53425736bd8985 | refs/heads/main | 2023-08-30T14:22:14.300080 | 2023-06-08T02:53:04 | 2023-06-08T02:53:04 | 222,384,897 | 1 | 0 | MIT | 2023-09-08T08:38:48 | 2019-11-18T07:09:24 | Python | UTF-8 | Python | false | false | 8,408 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
"noreply@github.com"
] | openapi-env-test.noreply@github.com |
5562336d1e9f8350768f81a204bd1b9ce5e6dcb9 | f8b8b485b8d29a01a81c1bfbc631a496a3a88a02 | /app/authentication.py | 8b1eac797d7e714b87a085d772e5ee81e47eb25c | [] | no_license | samuelquitiang/guane-intern-fastapi | 2ca061ba8d496685a57ed17814c5ecf17972b36c | f83302ddf0871aa938dfe4972f2dd05c0150c4dd | refs/heads/master | 2023-04-09T17:11:18.098223 | 2021-04-09T22:12:40 | 2021-04-09T22:12:40 | 356,331,667 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,303 | py | from fastapi import APIRouter, status, HTTPException, Depends
import schemas, token_
from passlib.context import CryptContext
from fastapi.security import OAuth2PasswordRequestForm
router = APIRouter(tags=['Authentication'])
# Method to hash the password
myctx = CryptContext(schemes=["bcrypt"], deprecated="auto")
pas... | [
"samuel.quitiang@udea.edu.co"
] | samuel.quitiang@udea.edu.co |
ee86cc6478906dfe72ddb3e9b8b4af23f8613796 | 01532ebb2bb5721a4191765faa6edffebfab9464 | /gen_data_V-Z.py | eab540e355fc189673e0fa784b0721899ad4b64a | [] | no_license | sarc007/2-OpenCV_3_KNN_Character_Recognition_Python-master | bb52c6d5776b17fd4337579299519e989146ac11 | 6f2f2e139ce2c4182cae8db1f36b67e4f498b9f4 | refs/heads/master | 2022-12-13T02:07:59.443287 | 2019-10-22T10:26:41 | 2019-10-22T10:26:41 | 213,817,682 | 0 | 0 | null | 2023-09-06T23:34:26 | 2019-10-09T04:04:00 | Python | UTF-8 | Python | false | false | 2,389 | py | # Pythono3 code to rename multiple
# files in a directory or folder
# importing os module
import os
import cv2
import numpy as np
from skimage import io
import h5py
# Function to generate mnist data from images
def main():
src_dir = "E:\\OPEN_1\\V-Z"
dst_dir = "E:\\OPEN_1\\data"
data_file = dst_dir +... | [
"maazansari11@gmail.com"
] | maazansari11@gmail.com |
9dd9b9617da72ba3de93cf4b9abe346b3b89264e | eb80e96d29d2aa8329b87626fa22cc81c2abc723 | /youtube_download.py | 16a3f800bdbb7732ad22e8e9d5d3bd78d30b601e | [] | no_license | ahsanGoheer/Tools | 7229f8a7e0c686ce2ebf9731ee232d26382a856e | 9217ee303a204e0f8e6d8e26bce3a20068bb57b9 | refs/heads/master | 2020-06-24T04:53:41.394784 | 2019-09-13T19:02:46 | 2019-09-13T19:02:46 | 198,854,366 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,004 | py | from pytube import YouTube
from tqdm import tqdm
#file_size=0
save_path ="/home/ahsangoheer/Documents/Tools/Videos"
# def progress_Check(stream = None, chunk = None, file_handle = None, remaining = None):
# #Gets the percentage of the file that has been downloaded.
# percent = (100*(remaining-file_size))/file_si... | [
"noreply@github.com"
] | ahsanGoheer.noreply@github.com |
21bc8422cad06b064ce9d777977c5ed65f260aa3 | 465ef9a288d5902348e930a8f1193acfacd64127 | /alerts/alerter.py | a8ffafcf1c1df22e9b7e11ff61d3297283db01d3 | [] | no_license | syffer/ineedanapartment | 4b876b6fa2461e2402645735a57d44ce1a91399c | 2c0430d1c3b4b9d90040812292f8702c8e36414c | refs/heads/master | 2022-12-08T09:46:44.805570 | 2020-08-30T17:46:37 | 2020-08-30T17:46:37 | 289,482,517 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 146 | py | # coding: utf-8
class Alerter(object):
def alert(self, locations):
raise NotImplementedError("subclasses must override this method")
| [
"maxime.nicolas2@hotmail.fr"
] | maxime.nicolas2@hotmail.fr |
42d3f7d37df6743f60d81d69b57e407b29202290 | fa8227796c7525f5dfd347f3c480a9a8fa0fa0b1 | /backend/hharvard/hharvard/urls.py | 1da5dbd43c3d01c103021c6ada2764309131af4b | [] | no_license | CauaneAndrade/HackHarvard2021 | 515f8d635dcaa3796251d315a986f93919ff7296 | 42f6e031a6d74f1b8e1bbbe143ae33a76fbb8dde | refs/heads/main | 2023-08-16T06:18:08.429155 | 2021-10-10T14:57:47 | 2021-10-10T14:57:47 | 413,943,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 477 | py | from django.contrib import admin
from django.urls import path
from django.conf.urls import include
from rest_framework import routers
from rest_framework_jwt.views import obtain_jwt_token
from app import viewsets
router = routers.DefaultRouter()
router.register(r'users', viewsets.UserViewSet)
urlpatterns = [
pa... | [
"cauane.emanuela@hotmail.com"
] | cauane.emanuela@hotmail.com |
34397dfc2620cb2ec545a7ad9cb93a808013afbd | 0917f0312bdc934d586b5471bda0f26ea2cd1dc6 | /src/user_io.py | 48e4c290764f8b6599b782be9ee8a72271c716eb | [
"MIT"
] | permissive | S0S-90/geocachingTooly | 1897b64f0c71af781807354362a1656e13756be9 | a6ed356d0187dd517a9436a83bded3752d488db5 | refs/heads/master | 2021-06-02T09:01:34.592866 | 2019-04-09T10:00:30 | 2019-04-09T10:00:30 | 68,519,562 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,000 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""This file contains the user interface."""
import ownfunctions
import geocache
import os
PATH = [r"E:/Garmin", r"F:/Garmin", r"G:/Garmin", r"H:/Garmin", r"/media/{}/GARMIN/garmin/".format(os.environ["USER"])]
CODING = "cp1252" # coding of cmd (cp1252 recommended)
EDITOR... | [
"susanneTsauer@gmx.net"
] | susanneTsauer@gmx.net |
dce5b05d3471948b064364cc6d832b137033b937 | 94a4d676a7a5ba490e04552be8758a22af2abd2b | /smsf.py | e5d8934d145c96f36a25e72a24addd7f73dd61e0 | [] | no_license | stdwarf/asterisk | 90f95499dfde749b2e507b63e1b5a20dc9cb738f | 2fa525f979848f0daf598452d6fd7321af6a9691 | refs/heads/master | 2021-01-22T04:40:32.589865 | 2013-05-16T07:27:42 | 2013-05-16T07:27:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,667 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os,sys,re,sqlite,datetime
import smtplib
from smtplib import SMTP
from email.MIMEText import MIMEText
from email.Header import Header
from email.Utils import parseaddr, formataddr
q="'"
# файл генерируемый для учета iccid sim карт
localpath='/var/lib/asterisk/scripts/... | [
"stdwarf@gmail.com"
] | stdwarf@gmail.com |
a27cd524172294776c06edc2d24389936548aba7 | 652c587eb1f846901619d09dd2aab421c5939f06 | /N6_While_Loop/049.py | 8de63f81aafab58d6d7377f14ed0d132dbe48013 | [] | no_license | Lightman-EL/Python-by-Example---Nikola-Lacey | 0bfd55acf0b4f46dac2608c2bdb657fcb0b74e35 | 374ea1d710933ac0fd315326c4963044792ac934 | refs/heads/master | 2022-11-19T19:46:53.902389 | 2020-07-08T19:07:28 | 2020-07-08T19:07:28 | 278,171,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | counts = 0
compnum = 50
while compnum == 50:
number = int(input("Enter a number: \n"))
counts += 1
if number > 50:
print("Too high")
elif number < 50:
print("Too low")
elif number == compnum:
break
print("Well done, you took", counts, " attempts.") | [
"noreply@github.com"
] | Lightman-EL.noreply@github.com |
8a9b786a69a3422594bf5a9aa764cfdb148778f8 | d2e9d86c6ea1bf7c9d79afcc90ea9585fd362650 | /HashSetAndHashMaps/HashMap/HashMap.py | 06935effab9aee1d779ad53a9195446f52fea739 | [] | no_license | Ailloviee/data_structures_and_algorithms_review | 1993018f18673e800d94ada64c30264737c33c03 | 7d2f00d78c43d01393d567076e8ffdf5ab7c1297 | refs/heads/main | 2023-05-04T00:53:31.628449 | 2021-05-20T03:12:37 | 2021-05-20T03:12:37 | 362,901,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,884 | py | class Bucket:
def __init__(self):
self.bucket = []
def get(self, key):
for (k, v) in self.bucket:
if k == key:
return v
return -1
def update(self, key, value):
found = False
for i, kv in enumerate(self.bucket):
if key == kv[0]... | [
"j68zheng@uwaterloo.ca"
] | j68zheng@uwaterloo.ca |
c162da296af968a3490c034f866fcdeef0524e9a | 05bc1cf1498af8b14a42cfe3f2403d063a083148 | /python_lecture/control_flow.py | 5658fcb726edf625ab29d65c580106da3320380f | [] | no_license | kevinjaworski/python_notes | 24f0159bf6a15d4f05d19f85a27ce2926257fb52 | acc004a72debd710a96eb30d8e77ff0c937a95a6 | refs/heads/main | 2023-02-11T03:04:45.779894 | 2021-01-14T15:35:57 | 2021-01-14T15:35:57 | 329,657,554 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | # if block
x = 0
if x > 0 :
print("Hello")
elif x == 0 :
print("World")
else:
print('blank')
#ternary
is_on = 1
message = "I am on" if is_on == 1 else "I am stuck" if is_on == 3 else "I am off"
print(message)
a, b, c, d = False, True, True, True
print(c and d)
print((a and b and not a) or (not b)... | [
"kmjaworski15@my.trine.edu"
] | kmjaworski15@my.trine.edu |
eefb5209d4d3b571ac8ea971a93683b56c8bc052 | 5a013bed0f815912aa85aac46250dd6043f65151 | /Graph optimization problem.py | 60dcb6c127c8bc92b137431895b507814b19eef2 | [] | no_license | Manijehkomeili/my-py-codes | 2eee174556a9e2c18dfd8ddef2e5b5fd97527c7a | 449ffbed7621d27a9c1c912ccee43fba24a9d096 | refs/heads/master | 2023-07-19T04:59:49.691786 | 2021-09-16T10:26:32 | 2021-09-16T10:26:32 | 404,399,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,525 | py | """
This is a sample Graph optimization problem with DFS and BFS methods
The result will be shown with a test graph section
DFS: Depth-First Search
BFS: Breadth-Fist search
@author: Manijeh Komeili
"""
class Node(object):
def __init__(self, name):
self.name = name
def getName(self):
return ... | [
"89593933+Manijehkomeili@users.noreply.github.com"
] | 89593933+Manijehkomeili@users.noreply.github.com |
d5fc2e9c95367713fde53a9b10a7e522573cc1da | 4fe1dc7170d2d44e2c9988c71b08f66d469ee4b8 | /Appendices/E/ejE5.py | 77ce7a4cada9e676303b27e369f41adfd4fb3073 | [] | no_license | ftorresi/PythonLearning | 53c0689a6f3e7e219a6314a673a318b25cda82d1 | f2aeb5f81d9090a5a5aa69a8d1203688e9f01adf | refs/heads/master | 2023-01-12T00:40:05.806774 | 2020-11-13T14:33:08 | 2020-11-13T14:33:08 | 267,460,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,930 | py | """Now we solve the ODE problem u - 10u' = 0 u(0)= 0.2 in [0,20] using HEUN's method"""
import numpy as np
import matplotlib.pyplot as plt
#Exact solution
def exact_u(t):
return 0.2*np.exp(0.1*t)
#u'=f(u,t) as a class
class f:
def __init__(self):
pass
def __call__(self,u,t):
return 0... | [
"noreply@github.com"
] | ftorresi.noreply@github.com |
da0893ee12c8121cd392ce0dc9e6689b63cfe317 | bdb3ab1d81958651d568859336f1a9eba74e279b | /load_data_for_nn.py | 181a0fdb426c1ef4cdaf7df3dc6c30b9e93c2c87 | [] | no_license | mishabuch/Assignment2 | 3f7e153b5aecc38e8b533c61cef9719263dfa924 | aeb0f8ee35a5ddcd4ef9018fa07135c4c5cbadea | refs/heads/main | 2023-03-24T01:51:32.196899 | 2021-03-14T17:22:13 | 2021-03-14T17:22:13 | 347,669,619 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,698 | py | # This is a sample Python script.
# Press ⌃R to execute it or replace it with your code.
# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
from abc import ABC
from scipy.io import arff
import numpy as np
from sklearn import preprocessing
import sklearn.model_selection as mo... | [
"noreply@github.com"
] | mishabuch.noreply@github.com |
1aa763525c70cc0133f8bd2527f150fc9b95b289 | bf17a8783aed198468b6feb505e611a9fc336f72 | /scriptlets/Wrapper.py | 826bb31227e99e800e5d85885d0988539e7da44d | [] | no_license | Mew1626/QOscript | 6c2db2aca370502dbe474ca1a09a59a43cfb3147 | fb52672eb744901ecb25d8b66788630980d8ce61 | refs/heads/master | 2020-07-14T20:25:57.438538 | 2019-09-13T17:47:48 | 2019-09-13T17:47:48 | 205,394,471 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,368 | py | import os
import datetime
from tkinter import *
from tkinter import filedialog
from tkinter import ttk
root = Tk()
reports = StringVar()
under10min = StringVar()
monthselection = 0
warantycsv = ""
purchasecsv = ""
evalcsv = ""
loncsv = ""
def wrap():
path = os.path.dirname(os.path.realpath(__fil... | [
"noreply@github.com"
] | Mew1626.noreply@github.com |
6ac8aceb9e1f7b8a43ff8b98d98019bdd41c55d5 | 4c73bf392aa28319e87d5cbb425d13b85ae6fda3 | /exercise/quiz/celeb/solution/main.py | f02d626e6018051980126f9aedfb8038acb60a26 | [] | no_license | potpath/algo-class | 3b9f08e39867e4857a5f5ca12536b85b58cd7f52 | 93638d99f48bce991aa0abbe569947032cc597d0 | refs/heads/master | 2021-01-24T14:22:44.676921 | 2014-10-06T11:27:48 | 2014-10-06T11:27:48 | 24,842,788 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | N = int(raw_input())
K = [[int(i) for i in raw_input().split()] for i in range(N)]
R = [sum(K[i]) for i in range(N)] #sum each row
C = [sum([K[i][j] for i in range(N)]) for j in range(N)] #sum each column
ans = [i+1 for i in range(N) if R[i]==0 and C[i]==N-1]
print ans[0] if len(ans)>0 else 0 | [
"GroupDoll"
] | GroupDoll |
a5ca0dba0718aa09e17d7542056fc9af17a7eb38 | 49c2492d91789b3c2def7d654a7396e8c6ce6d9f | /ROS/catkin_ws/build/dyros_simulator/dataspeed_can_tools/catkin_generated/pkg.installspace.context.pc.py | aaf615e0d8cdbcc7a35dbfeacc60e39121b30380 | [] | no_license | DavidHan008/lockdpwn | edd571165f9188e0ee93da7222c0155abb427927 | 5078a1b08916b84c5c3723fc61a1964d7fb9ae20 | refs/heads/master | 2021-01-23T14:10:53.209406 | 2017-09-02T18:02:50 | 2017-09-02T18:02:50 | 102,670,531 | 0 | 2 | null | 2017-09-07T00:11:33 | 2017-09-07T00:11:33 | null | UTF-8 | Python | false | false | 453 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "-ldataspeed_can_tools".split(';') if "-ldataspeed_can_tools" != "" else []
PROJECT_NAM... | [
"gyurse@gmail.com"
] | gyurse@gmail.com |
561487e1803023123990db3ae20bc96d55ac9143 | 6c054175f35bb975c2f6bc4bce00243541b9a75a | /wk5/ch9_6Exercise.py | 4b419a12b0e1302325ae870e6ee3de6a4e91f38c | [] | no_license | kayfay/python_informatics_course | 629c12c951312ae8f34d315e6aed0f6c22bebc02 | 86d7fccb006a46f0d9189ab5867560c788fddbd6 | refs/heads/master | 2020-03-27T00:34:48.608787 | 2018-08-22T00:57:58 | 2018-08-22T00:57:58 | 145,635,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,020 | py | #File: ch9_6Exercise.py
#Programmer: Allen Tools
#Date: 02/09/2017
#Course ID: LIS 4930 Python for Informatics
#Purpose: Write a function called is_abcecedarian that returns True
# if the letters are in alphabetical order, how many are there?
# reads a word from the wordlist
wordlist... | [
"allenchristophertools@gmail.com"
] | allenchristophertools@gmail.com |
8b794d9621af4cabd7f72b4a547be012ca0d18ff | f8afc5020d9757437f17574e16e15501016fb60a | /sawtooth-core/families/settings/sawtooth_settings/protobuf/client_transaction_pb2.py | 199ee2ff6ecbba49d372fbc7ce1cbcd156d2a63d | [
"Zlib",
"MIT",
"Apache-2.0"
] | permissive | prog-nov/hyperledger-sawtooth | cdbf168c2b893905d95d99fcead4122bbf6b2307 | b2d8e1f37293a3ede2e43f18248d643023e4f2de | refs/heads/master | 2023-03-17T02:51:05.317383 | 2018-11-07T18:08:29 | 2018-11-07T18:08:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | true | 13,916 | py | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sawtooth_settings/protobuf/client_transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from googl... | [
"tupt@qsoftvietnam.com"
] | tupt@qsoftvietnam.com |
4fc3011a76a8c9902eca9bf38d2151c3a856bb67 | e5a12238b92363468c2260082e784c317d864134 | /RegularExpression.py | 34931a08db360980cbec01200fc779186a9c10df | [] | no_license | KrupaPatel02/MetroNet | 751d3e48f71a22dda627408e1f21def317b01644 | 53d7c7ecd6412d885367fe26a6dd2d32fe585497 | refs/heads/master | 2020-07-02T22:27:05.281739 | 2019-08-10T22:09:08 | 2019-08-10T22:09:08 | 201,687,584 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 750 | py | import re
from datetime import datetime
regex = "20\d{2}(-|\/)((0[1-9])|(1[0-2]))(-|\/)((0[1-9])|([1-2][0-9])|(3[0-1]))(T|\s)(([0-1][0-9])|(2[0-3])):([0-5][0-9]):([0-5][0-9])"
regex1 = "([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01]))"
def validateTimeStamp(timestamp):
print("Started validating")
if re.searc... | [
"krupahp90@gmail.com"
] | krupahp90@gmail.com |
25e142e4f0055291c25003b1ada95a8fb4e3b38f | 9f73613f8317e05d484ce6b6fde5c96a37a09b85 | /apps/bus/translation.py | 296414d127f227e3c8cba0cd68b060b3b26c5e88 | [] | no_license | alladot/amurauto | d88e74e9200dd1edf642dcda796c7e154f6405bc | cf46a64392e1ea33628f462a3ac80bd511361dd7 | refs/heads/master | 2020-04-06T13:50:26.237441 | 2019-10-08T03:27:29 | 2019-10-08T03:27:29 | 157,516,546 | 0 | 0 | null | 2019-10-08T03:27:30 | 2018-11-14T08:33:44 | Python | UTF-8 | Python | false | false | 370 | py | # -*- coding: utf-8 -*-
from modeltranslation.translator import register, TranslationOptions
from bus.models import Bus
@register(Bus)
class BusTranslationOptions(TranslationOptions):
"""
Класс настроек интернационализации полей модели Автобус
"""
fields = (
'title',
'content',
)
| [
"alla.dotsenko@fogstream.ru"
] | alla.dotsenko@fogstream.ru |
7cdeb29429d3ea1c04319e3e4093cb11fc57445e | b0def47943423226b42fb86533c97ed864368622 | /src/part2.py | 775817c8de86cddb83f6acdc6485f6a0e15932a1 | [] | no_license | causztic/hmm | 072b9d447ba15f436b1b0746b31530c1414ffce7 | 894724f20a72f34fb265c5f48f12f3b4ab2b9c4f | refs/heads/master | 2020-04-07T22:30:00.716421 | 2018-12-09T08:58:42 | 2018-12-09T08:58:42 | 158,773,322 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,082 | py | import numpy as np
from itertools import groupby
UNKNOWN_TOKEN = "#UNK#"
def prepare_data(file):
"""
Prepare the file, and returns a list of lists of "{observation} {label}"
file : the name of the file to read
"""
lines = [line for line in file]
chunks = (list(g) for k, g in groupby(lines, k... | [
"limyaojie93@gmail.com"
] | limyaojie93@gmail.com |
3c3df6bdd3f4186cae34a915ada8acc2cdde2af6 | d347ff7a54fe608e9e262c12d28c928e6e3989d7 | /data_preprocessing.py | d07d692859a175b6ec7a15ddcdcb94ca03b27282 | [] | no_license | NeverGX/SiamRPN | 374cc6c60f7a0fc8367f8dbe81b5e8184e78705b | 9224a6ecfb23986d7202d110d568a7ab30ad1345 | refs/heads/master | 2023-06-19T18:03:43.235531 | 2020-09-14T07:15:55 | 2020-09-14T07:15:55 | 295,334,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,138 | py | import cv2
import numpy as np
import argparse
import glob
import os
from tqdm import tqdm
from concurrent import futures
from config import config
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir',type=str, default='/home/wangkh/Downloads/got-10k/full_data/train_data', help='got_10k data di... | [
"15058715723@163.com"
] | 15058715723@163.com |
cd97fc37637ebbea191dfde0b5de158f4d957ec8 | 6189f34eff2831e3e727cd7c5e43bc5b591adffc | /WebMirror/management/rss_parser_funcs/feed_parse_extractNorthbladetlBlogspotCom.py | 6ae6636f041f4c6171da2a37228f9012d3e74405 | [
"BSD-3-Clause"
] | permissive | fake-name/ReadableWebProxy | 24603660b204a9e7965cfdd4a942ff62d7711e27 | ca2e086818433abc08c014dd06bfd22d4985ea2a | refs/heads/master | 2023-09-04T03:54:50.043051 | 2023-08-26T16:08:46 | 2023-08-26T16:08:46 | 39,611,770 | 207 | 20 | BSD-3-Clause | 2023-09-11T15:48:15 | 2015-07-24T04:30:43 | Python | UTF-8 | Python | false | false | 562 | py |
def extractNorthbladetlBlogspotCom(item):
'''
Parser for 'northbladetl.blogspot.com'
'''
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('PRC', 'PRC', 'translated'),
('L... | [
"something@fake-url.com"
] | something@fake-url.com |
aeda73e4de7393ca198519384998e625a5a63d26 | 6f33381dcb19a042d916b4a452f9cb7438729798 | /jabba/graphs/legend.py | 6767d1bc8f8140580a6220c89e4327bd31cd22ab | [
"MIT"
] | permissive | puppetlabs/jabba | 8308adf5be9ba25efb414f384bf3568854be55e2 | 71c1d008ab497020fba6ffa12a600721eb3f5ef7 | refs/heads/master | 2023-06-13T09:17:49.274408 | 2017-06-30T11:02:27 | 2017-06-30T11:02:27 | 185,443,592 | 0 | 1 | null | 2019-05-07T16:54:03 | 2019-05-07T16:54:02 | null | UTF-8 | Python | false | false | 939 | py |
import graphviz as gv
class Legend(object):
"""
GraphViz graph for rendering legend
"""
def __init__(self):
# Legend is presented as map (name -> settings)
self.items = {}
def add_item(self, name, settings):
self.items[name] = settings
def render(self):
legend... | [
"rebovykin@gmail.com"
] | rebovykin@gmail.com |
c73062c7a81aad5fa911ce01f8de736e1bb69024 | 7fc2977b09fa8fc7c26a5efc9788a6170b6ca7e5 | /Stylying_Example.py | 4022f2aa5a6c6defee1c144fae5c49ba9ba9fb74 | [] | no_license | fes7713/Qt_Template | d701996991b4ee7e59054f92e72628eaa307a541 | bb0f602ce77a171673be824a9b7d12a0f70eb01b | refs/heads/main | 2023-06-25T20:28:07.130729 | 2021-07-23T07:18:26 | 2021-07-23T07:18:26 | 388,712,708 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,518 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Stylying_Example.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
# APP Imports
import s... | [
"tun05036@temple.edu"
] | tun05036@temple.edu |
15bafbcebb7a5ee33f644bfcac1ff16f634e54b6 | c4ee7adb7113c855b54c4c4b752d6e82758a735d | /ecommerce/ecommerce/settings.py | 664987da3f61cb452fe63d12f80ef5d52d5772a7 | [] | no_license | devblocs/django-snippets | c000f73bb9bbe0bb638b2bf0574466de6cfe1bec | a2c06c64cc13b6459e2a7506dca81544d6e756ad | refs/heads/master | 2022-12-17T01:34:32.598922 | 2020-09-14T16:51:46 | 2020-09-14T16:51:46 | 295,435,843 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,080 | py | """
Django settings for ecommerce project.
Generated by 'django-admin startproject' using Django 3.1.
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... | [
"venkatesh.nadar@neosofttech.com"
] | venkatesh.nadar@neosofttech.com |
ec47bc066bc69f6cf12e1ef76fe29f8be677394c | 5667cc877342204b7d54b6c3cc5a9f4854f08829 | /.history/apppersona/views_20201101174230.py | 3ca271ad58977d9585b9c4096dc875f160abb1d5 | [] | no_license | Nyckhos/TestCommit | d62e3f6fefb04ab5647475cc7ead0d72cbd89efa | 9aa8e2e35280b7862960cc8a864e9c02ac7f4796 | refs/heads/main | 2023-01-05T05:57:59.223641 | 2020-11-02T02:08:18 | 2020-11-02T02:08:18 | 309,237,224 | 2 | 0 | null | 2020-11-02T02:30:43 | 2020-11-02T02:30:43 | null | UTF-8 | Python | false | false | 3,787 | py | from django.http import request
from django.shortcuts import redirect, render
from django.http import HttpResponse
from .models import *
from .forms import *
from django.contrib.auth.models import User
from django.contrib.auth import *
from django.urls import reverse
from django.contrib.auth import login
from django.co... | [
"fernandox_240997@live.com"
] | fernandox_240997@live.com |
90254a2e8ba7c81e196fd637cbd4598c1fdaa717 | 3e1b5d7cb529be1529ae45fa062a423f8328d6d2 | /Edgar-new-codes/Getting-10-K- and-10-Q doc links.py | 54aab244b45e5b116a35eee0099a5ad3de1aba53 | [] | no_license | abhigupta4/Finrsch | 260687b3b53d3c94a03dc2b9e640952718033486 | ca0b7f1631fbbe109b81403b9ffc36c67c759d23 | refs/heads/master | 2021-01-19T10:54:19.705213 | 2017-07-06T12:22:37 | 2017-07-06T12:22:37 | 87,913,197 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,806 | py | import requests
from bs4 import BeautifulSoup
import urlparse
def get_file(cur,val):
base = 'https://www.sec.gov'
r = requests.get(cur)
document = BeautifulSoup(r.content,"lxml")
links = document.find_all('a')
for link in links:
if 'Archives' in link.get("href"):
print 'Document link'
print base+link.get(... | [
"abhinavgupta6245@gmail.com"
] | abhinavgupta6245@gmail.com |
97c689ed7738f6c1cdd66ac8e2e6f724392842c8 | 99ee9124c12c889821f407fe5f29316ea276131d | /1.py | b76abe519ef86ead1537c66e88e3bea758ae3c83 | [] | no_license | 17818909875/pythontianqi | 3b7a17cd3d9e7be0b115549d246221e7479ee646 | 7c20fde9ec6dd2cf9dd9ab3a4e5ca46a14ac114a | refs/heads/master | 2020-06-01T12:16:53.326667 | 2019-06-07T16:58:28 | 2019-06-07T16:58:28 | 190,777,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | import requests
r=requests.get('http://www.baidu.com',params=None)#与post相同去爬取信息，但是正则好难,这里构造请求request,None可以是字典或则字节流,r此时是response对象
r.encoding='utf-8'#可以用r.apprent_encoding时猜测的编码方式,如果header不存在charset,就不能解析中文了，如百度，注意header不是head，所以百度没有
print(r.text)#字符串形式信息
#r.content,http响应内容的二进制形式，如图片就是这种形式 | [
"2534907211@qq.com"
] | 2534907211@qq.com |
cdae847f9f3fce2eddb4d6dd44e2910e92a82277 | f222202da3ad7d9f897608363c4f6ad18ccb6238 | /srm685/multiplication_table2_easy.py | 37383f97b427629bf3d3b8b2f4eb57e61388afac | [] | no_license | antontomusiak/TopCoder | fbc510b53bd2f201443f3846a7143db752116094 | 124d8426c9faeedc787ce0fa9643a6e80828126e | refs/heads/master | 2020-08-22T11:31:23.436037 | 2019-10-20T16:08:42 | 2019-10-20T16:08:42 | 216,384,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 214 | py | from math import sqrt
class MultiplicationTable2Easy:
def isGoodSet(self, table, t):
n = int(sqrt(len(table)))
for i in t:
for j in t:
if table[i * n + j] not in t: return 'Not Good'
return 'Good' | [
"noreply@github.com"
] | antontomusiak.noreply@github.com |
752c22f97ab80a626fa28eba09160396d731d400 | a93977614af9f4461a8f39b66b37456c7de10b92 | /jws_beta/logon.py | 4e2fcecb1ab4005f4d93dc571cb99235a133dd34 | [] | no_license | gikieng/jws | 90039d8fc7cbc551bde5612cb2ec2ff9c3453618 | 81ec2f6e632390f95d8e6b36aeaae3104cf6de6a | refs/heads/master | 2020-05-17T12:14:02.642195 | 2014-04-22T23:21:23 | 2014-04-22T23:21:23 | 18,941,316 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,005 | py | # -*- coding:utf-8 -*-
import gtk, urllib2, urllib,sys, re
class LoginPage(gtk.Window):
url = 'http://jw.hrbeu.edu.cn/ACTIONLOGON.APPPROCESS?mode=4'
def __init__(self, opener, headers):
super(LoginPage, self).__init__()
self.set_title("哈工程学生成绩查询系统")
self.set_size_r... | [
"gikieng@gmail.com"
] | gikieng@gmail.com |
5fc5736b6ff1ad4da80432c6975910ee3332d969 | 3c328704f965a7e7024e67ef672689f339c049ca | /features/daysSinceRegistration.py | 39b93e352142a40add930e26fda44ec222606591 | [] | no_license | valkheim/url-classifier | 1152cd54d418cec452a538b1b70371a89fb998cc | 7f431b6fcc996c8c94062a5d6d5468815857c587 | refs/heads/master | 2020-05-01T18:06:21.593033 | 2019-04-01T08:35:49 | 2019-04-01T08:35:49 | 177,616,846 | 1 | 0 | null | 2020-01-25T14:57:42 | 2019-03-25T15:45:15 | TeX | UTF-8 | Python | false | false | 640 | py | #!/usr/bin/env python
import whois
import datetime
import numpy as np
def get(address):
if address is None:
return np.nan
try:
creation = whois.whois(address).creation_date
except BaseException: # non existent domain raises an exception
return np.nan
if creation is None:
... | [
"charles.paulet@epitech.eu"
] | charles.paulet@epitech.eu |
042eed307db1e9a2af3b5a50786088f3bb73b6df | e2e283294d6c9ed6708fef38f7627d0b27e85779 | /pymixconsole/processors/panner.py | cf240c517fb00467ad3af3dc28678f6139198303 | [
"MIT"
] | permissive | JaeDukSeo/pymixconsole | 3f8315b7c409cbf9d5d979e1dedf00dc39734b7c | 49d86aeddfdd0b59c18830b02f63c98f721caf9d | refs/heads/master | 2023-05-06T04:41:57.434512 | 2021-04-13T16:40:22 | 2021-04-13T16:40:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,478 | py | from numba import jit, float64
import numpy as np
from ..parameter import Parameter
from ..processor import Processor
from ..parameter_list import ParameterList
@jit(nopython=True)
def n_process(data, L, R):
""" Apply panning gains based on chosen pan law.
Params
-------
data : ndarrary
Input... | [
"csteinmetz1@gmail.com"
] | csteinmetz1@gmail.com |
c86eb97e7e33e0eb1daa5c7af3fdb94195670482 | 38b87c9bede63d0d26d3fb56e453d9f2b92e49ed | /theme/migrations/0061_auto_20160529_1935.py | 2ef31fb0bab366a335497b43f82c082d9b73f281 | [] | no_license | webcommittee/cfwebsite | f1614bcc49b600918fd6c85e6cb7023c9702bc8d | d7bf23db8609655a8af53d9548a3ab02c1440a1b | refs/heads/master | 2021-01-01T15:35:08.140308 | 2017-08-10T00:34:42 | 2017-08-10T00:34:42 | 97,653,307 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-05-29 23:35
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('theme', '0060_auto_20160529_1429'),
]
operations = [
migrations.RemoveField(... | [
"webcommittee.rpicareerfair@gmail.com"
] | webcommittee.rpicareerfair@gmail.com |
3b670b3ba9034ce06aecedf5d367f6512e9bc61b | ce002bac9a46694bbd0227b895da4ca02832311c | /tests/app_test.py | 7297f123212e800aa77873ea51c6b0b8514f5366 | [] | no_license | Pranav143/ECE444-F2021-Lab6 | 787cb8f12da0679821585a5417ed5693ea8e5ef2 | 5e766fd36f9c3fdc7e0dadf34c3b28ec92e0be2d | refs/heads/main | 2023-09-04T05:29:19.787720 | 2021-11-01T03:40:09 | 2021-11-01T03:40:09 | 423,250,181 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,500 | py | import pytest
import os
from pathlib import Path
import json
from project.app import app, db
TEST_DB = "test.db"
@pytest.fixture
def client():
BASE_DIR = Path(__file__).resolve().parent.parent
app.config["TESTING"] = True
app.config["DATABASE"] = BASE_DIR.joinpath(TEST_DB)
app.config["SQLALCHEMY_DAT... | [
"pranavagnihotri143@gmail.com"
] | pranavagnihotri143@gmail.com |
69fe2635469cacf0543c8bdc6588c35e1ff15509 | aa1972e6978d5f983c48578bdf3b51e311cb4396 | /nitro-python-1.0/nssrc/com/citrix/netscaler/nitro/resource/config/network/vrid6_interface_binding.py | 514e8bd208b3024680ba6c2b0c5d4530d8b2a8a3 | [
"Python-2.0",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | MayankTahil/nitro-ide | 3d7ddfd13ff6510d6709bdeaef37c187b9f22f38 | 50054929214a35a7bb19ed10c4905fffa37c3451 | refs/heads/master | 2020-12-03T02:27:03.672953 | 2017-07-05T18:09:09 | 2017-07-05T18:09:09 | 95,933,896 | 2 | 5 | null | 2017-07-05T16:51:29 | 2017-07-01T01:03:20 | HTML | UTF-8 | Python | false | false | 6,678 | py | #
# Copyright (c) 2008-2016 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | [
"Mayank@Mandelbrot.local"
] | Mayank@Mandelbrot.local |
827e3bcf2fca26a7b7abc2fc74da531da077f856 | f6078890ba792d5734d289d7a0b1d429d945a03a | /extra/oconnorcollin_24162_1340359_Collin_O'Connor_1607318_ExtraCredit_week7.py | 768973e38dd5ce426badbd6677369e038d6aa08c | [] | no_license | huazhige/EART119_Lab | 1c3d0b986a0f59727ee4ce11ded1bc7a87f5b7c0 | 47931d6f6a2c7bc053cd15cef662eb2f2027712c | refs/heads/master | 2020-05-04T23:40:53.709217 | 2019-06-11T18:30:45 | 2019-06-11T18:30:45 | 179,552,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,750 | py | # -*- coding: utf-8 -*-
"""
Created on Mon May 13 08:26:50 2019
@author: collin O'Connor
"""
import numpy as np
import integrate_utils as int_utils
#==============================================================================
#Question 1
#================================================================... | [
"hge2@ucsc.edu"
] | hge2@ucsc.edu |
b1321be198118b1993a81931de6a882a23c86dbd | 9f4b9df74d87dbb493661fb341c12779a3108873 | /DownLoad_Files/CrawlNet.py | 3ccf53fe66defceb6d7c1c46d6c77a8f5ab64982 | [] | no_license | yangfanjx/SearchEngine | 8559f70bec067bd4217c1ef94fd03f19be7ea292 | 626194108b7e87602438cb6ced31748dd4287592 | refs/heads/master | 2022-07-31T13:42:54.683605 | 2020-05-26T13:43:03 | 2020-05-26T13:43:03 | 266,956,043 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 40,442 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import requests # 导入requests包
from bs4 import BeautifulSoup
import csv
from SearchEngine.DownLoad_Files import Handle_Excel
from SearchEngine.DownLoad_Files.Handle_Word import Word_Table
import re
down_folder = "./download_file/"
# csv写入
class CSV_Class(obj... | [
"40845650+yangfanjx@users.noreply.github.com"
] | 40845650+yangfanjx@users.noreply.github.com |
3b357c8230a89675c8166c429994a142c867bce6 | 8eca4bbf07e2cad4dbc4fa685d2b34b0cdc4508e | /build/usb_cam/catkin_generated/pkg.installspace.context.pc.py | 37ff0319fff6a308e509f32f7168d0b64ab31053 | [] | no_license | marcfroberts/NASASwarmathon2018 | a4555d432a0ab23cc96bc36c1f8e2ba417f49478 | e2b1f62eb0d255fe10ab6b5e699bfa71a5e02ffd | refs/heads/master | 2021-05-15T09:04:55.268856 | 2018-03-27T18:41:42 | 2018-03-27T18:41:42 | 108,076,212 | 0 | 0 | null | 2018-03-27T18:41:43 | 2017-10-24T04:21:17 | Makefile | UTF-8 | Python | false | false | 492 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/swarmie/SwarmBaseCode-ROS/install/include".split(';') if "/home/swarmie/SwarmBaseCode-ROS/install/include" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PR... | [
"matthew@fricke.co.uk"
] | matthew@fricke.co.uk |
7d755fc576080c119f8c871344e8aedfbbb39a79 | 350864228c8979440115cfc394757598214d4f73 | /Music4U/app.py | ce56bcc49665f228384c36b5852bf202da888422 | [] | no_license | yunjujo/homework | c207689d64e9ef9aaa3af2d8d914f4b3a522752d | 59dff1607e6e596d0e738d9ecf4e883237843725 | refs/heads/master | 2022-12-30T13:41:25.125410 | 2020-10-27T23:00:32 | 2020-10-27T23:00:32 | 304,310,939 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,965 | py | from flask import Flask, render_template, jsonify, request
import requests
from bs4 import BeautifulSoup
from pymongo import MongoClient # pymongo를 임포트 하기(패키지 인스톨 먼저 해야겠죠?)
app = Flask(__name__)
client = MongoClient('localhost', 27017) # mongoDB는 27017 포트로 돌아갑니다.
db = client.dbsparta # 'dbsparta'라는 이름의 db를 만들거나 사용... | [
"35657441+yunjujo@users.noreply.github.com"
] | 35657441+yunjujo@users.noreply.github.com |
7f06032dba7dbccf331c8ae2b298cd060ce22cac | 16aabd7d01d327815b64fe1ee39e1c42e07acdfa | /pipeline/table_figure_scripts/TALONClass.py | a6e320389960515565580f61f089deb026399519 | [
"MIT"
] | permissive | dewyman/TALON-paper-2019 | b17e1139afabd350c72fcc9d7078f49de746c046 | 8644b34573d6a5924e8d84a234fd0fcbf010c233 | refs/heads/master | 2020-04-28T06:31:33.907456 | 2019-11-04T20:13:34 | 2019-11-04T20:13:34 | 175,061,699 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,733 | py | import sys
# this is the "class" code for creating Transcript objects.
# all objects belong to a class, and this is the definition of it
# there will be 1 object for each Talon Transcript
# each column name is added to the object as an attribute
# we could have written this in a separate file, then imported it using ... | [
"noreply@github.com"
] | dewyman.noreply@github.com |
61bc8a3a202bc70ca7a6d6c6a4c970e5e87ea59c | 06b25df867b9a4741b4ca803eceb254aa50758e9 | /editor_api/rest/lum.py | acdf87c0a73ffc1bdb30ca30bc06f1dcb3063474 | [
"MIT"
] | permissive | jphuart/swatplus-automatic-workflow | e5ceaa745096926176d9fc45042f836e628d0504 | dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4 | refs/heads/master | 2023-08-15T02:47:40.742352 | 2021-10-05T14:57:19 | 2021-10-05T14:57:19 | 282,170,706 | 0 | 0 | null | 2020-07-24T08:52:25 | 2020-07-24T08:52:24 | null | UTF-8 | Python | false | false | 19,887 | py | from flask_restful import Resource, reqparse, abort
from playhouse.shortcuts import model_to_dict
from peewee import *
from .base import BaseRestModel
from database.project import base
from database.project.setup import SetupProjectDatabase
from database.project.lum import Landuse_lum, Management_sch, Cntable_lum, Con... | [
"celray.chawanda@outlook.com"
] | celray.chawanda@outlook.com |
0f5deea79f8da3d2ff9acc9d892c0b222e273d5d | a41d53564a56210851c784422a430cf31bf2bfd6 | /examples/coffee_bar/cash_register/models/handlers/coffee_served_handler.py | 7c5c44532ce019c132b5638bc3ad0503ff51bbf6 | [
"MIT"
] | permissive | ohemelaar/tonga | 3227bbf9e516aa0e48a0097cc86081ca37269660 | d98f56df0400e1fdfc8f2df4b650c9c0addd0bc1 | refs/heads/master | 2020-05-31T17:57:58.089966 | 2019-06-05T12:35:49 | 2019-06-05T12:35:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,426 | py | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) Qotto, 2019
from aiokafka import TopicPartition
from typing import Optional
# Import BaseEvent
from tonga.models.events.event import BaseEvent
# Import BaseEventHandler
from tonga.models.handlers.event.event_handler import BaseEventHandler
# Import StoreBuilderBa... | [
"theo.dangla@epitech.eu"
] | theo.dangla@epitech.eu |
29c8d5b661e0845d95e719b70c945412bef5640f | b28cce9b6b2f30c7ebce8433de8c53cf6ec75a84 | /retinanet/model.py | 6cc4b58baa238a862562d5ec22fb5d2a81aa8fde | [
"Apache-2.0"
] | permissive | ccl-1/retinanet_pytorch | 7c2fbd0128891e3b89e9ba09dee89f2aea71abf0 | 493cf4a942639df63839e575a280c56e3abe065d | refs/heads/master | 2023-04-02T00:48:30.180338 | 2021-03-22T08:53:48 | 2021-03-22T08:53:48 | 201,150,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,253 | py | import torch.nn as nn
import torch
import math
import torch.utils.model_zoo as model_zoo
from torchvision.ops import nms
from retinanet.utils import BasicBlock, Bottleneck, BBoxTransform, ClipBoxes
from retinanet.anchors import Anchors
from retinanet import losses
model_urls = {
'resnet18': 'https://download.pytor... | [
"Roronoa_Zoro_1@163.com"
] | Roronoa_Zoro_1@163.com |
457d4c6a1076ae536700f2daa77aa5ad82d61938 | 462ebf4ae330bb2b0738ed9193ca57c91d44f036 | /utils/ops.py | 03325cfd11d12f5b01e84d3d8b8c4d3102f926e6 | [
"CC-BY-SA-4.0",
"MIT"
] | permissive | sekilab/RoadDamageDetector | 51aabfb0025d79d11b345f4e05fe981d484dd0eb | a7e867cc11d6895e7ea37acd43a9daf28ad16174 | refs/heads/master | 2022-10-20T13:21:14.983887 | 2022-09-30T02:00:53 | 2022-09-30T02:00:53 | 116,769,587 | 663 | 254 | MIT | 2022-09-30T02:00:56 | 2018-01-09T05:21:06 | Jupyter Notebook | UTF-8 | Python | false | false | 31,229 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"n.o.id.z.m@gmail.com"
] | n.o.id.z.m@gmail.com |
9d6be18ab0536568627e74f04f6d5fac3aacefbc | 4ac330ae846ac3d593dca27ae34a5712a6de3a6c | /04_函数/hm_08_打印分割线.py | 8f07d4fa0d6f3120716baedd355900f642e50bb5 | [] | no_license | gaoshang18/python | 5999c420be0bf020759fa0bb0bc2251532d5c779 | e73aa15e71eea54699215f0ff6279ad9b8417be2 | refs/heads/master | 2020-05-01T03:35:32.480839 | 2019-08-26T02:02:55 | 2019-08-26T02:02:55 | 177,248,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 115 | py | # 函数的返回值 return
def print_line(char, times):
print(char * times)
print_line("hi", 4)
| [
"noreply@github.com"
] | gaoshang18.noreply@github.com |
d3bdbc5461a26a5c7fe0183620159be6662d508c | a9a2f66671fadf765d7feb511a4a5d9b9f4ef362 | /test/agent/server/local_elastic_agent_test.py | d86d3dc297c43d5bceef33af548cc125f0b9dd84 | [
"BSD-3-Clause"
] | permissive | BobLiu20/elastic | 64885d164d485976ea8740672c454c212bab4ff8 | e371fe57672aea91d2466f5e04884028d8dca649 | refs/heads/master | 2022-11-11T10:22:20.181835 | 2020-07-01T23:30:44 | 2020-07-01T23:32:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,667 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import multiprocessing
import os
import time
import unittest
import uuid
from unittest.moc... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
a5c4df71ef52999cba5ee63c82c678407d13a844 | 3bb74bbfca7ca25eb82358181cf94d456811fdbd | /HW-04/main.py | 4acd1a7618c182c57c3b34fb1adc79cda73df475 | [] | no_license | WNick-main/GB_Python | 3b4a67ea55cfe69fb672a7d3417883e48dda3b06 | 5f6f80e108e69ac998196e3d390971c4e15caebe | refs/heads/main | 2023-07-28T03:39:37.714168 | 2021-09-12T17:26:52 | 2021-09-12T17:26:52 | 398,079,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,556 | py | """
1. Реализовать скрипт, в котором должна быть предусмотрена функция расчета заработной платы сотрудника.
В расчете необходимо использовать формулу: (выработка в часах*ставка в час) + премия.
Для выполнения расчета для конкретных значений необходимо запускать скрипт с параметрами.
"""
import sys
import ex1_lib
try:... | [
"wnick@bk.ru"
] | wnick@bk.ru |
058213adb8930b755a1e1a227d1503946eb6a378 | ea064463fd3e7f341a8d1a902db85b859a184838 | /pySAM/tests/test_utils.py | 113918f9557da77882e0400b2e0a50f87718797b | [] | no_license | sososquirrel/SAM_project | 66660c83831ff95465393d13181369412e91cda7 | 6fa411e2a8e1a6966df44c6ed2a30e0d919887ed | refs/heads/main | 2023-04-12T16:10:43.590668 | 2022-10-19T13:41:50 | 2022-10-19T13:41:50 | 322,825,960 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 643 | py | import time
import numpy as np
import pySAM
import pytest
from pySAM.utils import make_parallel
def test_make_parallel():
def yoo(a, b):
for i in range(1000000):
a + b
return 1
list_iterate = np.array(
[1, 3, 5, 8, 10, 3, 5, 4, 12, 23, 45, 56, 76, 89, 98, 89, 87, 65, 45, ... | [
"sophie.abramian@gmail.com"
] | sophie.abramian@gmail.com |
a626adc7102a1a6b908acacffa6e1e0b37933a75 | 8e75c045b657680591b787bf9a1506dd3aed2415 | /address_plate.py | 8fd3b10fe9450a242099fca07b72db71b257c271 | [] | no_license | SergeyFromOdessa/address_plate_modern | 87c97bc3431700ced539ece56149264c89a8a61d | 08ccaa98050b247fe38fae9e7b167ca6a388debc | refs/heads/master | 2022-11-10T22:17:44.826529 | 2020-07-06T08:38:09 | 2020-07-06T08:38:09 | 277,486,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,542 | py | from argparse import ArgumentParser
import io
import pickle
import re
from reportlab.pdfgen import canvas
from reportlab.lib.colors import PCMYKColor
import sys
import textwrap
def pt(mm: float) -> float:
""" mm to pt
"""
return mm*2.834645669 # 72/25.4
def _load_path():
with open('paths' + '.pkl',... | [
"sergey@example.net"
] | sergey@example.net |
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