blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 616 | content_id stringlengths 40 40 | detected_licenses listlengths 0 69 | license_type stringclasses 2
values | repo_name stringlengths 5 118 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 63 | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 2.91k 686M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 23
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 213
values | src_encoding stringclasses 30
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 2 10.3M | extension stringclasses 246
values | content stringlengths 2 10.3M | authors listlengths 1 1 | author_id stringlengths 0 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a71ffd05c7ed8da0004a6643f8113a36555edba1 | 915a2ff8665d9b9556e4724cb3f87d5e0758f89a | /clan_icon_scraper.py | 1f7e1af8f6a349352d8cded29b2404096e4bd4bb | [] | no_license | chalamka/clan-icon-scraper | 0310ed95d64951381a542cd087be490bf1b44dae | c4ba6f8197fbaa8e291fc730e7296f9cba2484d1 | refs/heads/master | 2021-01-10T13:37:46.801983 | 2016-03-11T21:49:03 | 2016-03-11T21:49:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,497 | py | from urllib.request import urlretrieve
from requests import get
from time import sleep
def format_download_url(base, clan_id):
return base.format(clan_id[-3:], clan_id)
def download_icon_from_url(url, filename):
img = urlretrieve(url, filename)
def get_clan_tag(url, clan_id, api_key):
response = get(ur... | [
"chalamka@gmail.com"
] | chalamka@gmail.com |
13e937be240dd26fbde79d21036161296f33c930 | 65f1f8de09ce56f97167b9d680e2778e522c0a82 | /apps/home/models.py | 61f261d9801118ffb18fe8df6ec07e29edca707e | [] | no_license | yinyaonot/django_shop | f89e6c136f98676dbfa692ed5fb2c3cbb1c8841f | 7160129c647915f21e341451143feef9eba03381 | refs/heads/master | 2020-03-29T01:56:53.164968 | 2018-09-19T13:18:43 | 2018-09-19T13:18:43 | 149,414,646 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,558 | py |
from __future__ import unicode_literals
from django.db import models
class AuthUser(models.Model):
password = models.CharField(max_length=128)
last_login = models.DateTimeField(blank=True, null=True)
is_superuser = models.IntegerField()
username = models.CharField(unique=True, max_length=150)
fir... | [
"yinyaowhy@163.com"
] | yinyaowhy@163.com |
cb66456d1a9e537540c4c7099dff269a2b48c2b9 | 9e4e654fc91e7fa09fe12809b14ed7e8d302b2b1 | /config/settings/development.py | 40405c4c014a76fddf63693ee2aa7c443efa16be | [
"MIT"
] | permissive | pablo-moreno/shitter-back | 9689a7d20c75304590b8ff59aa880aa48371f220 | 33c0eb0e0bdff370b68148308ac08ab63b9e6e54 | refs/heads/master | 2023-08-03T20:50:44.239125 | 2021-03-19T09:31:12 | 2021-03-19T09:31:12 | 286,229,991 | 0 | 0 | MIT | 2021-09-23T06:57:07 | 2020-08-09T12:10:52 | Python | UTF-8 | Python | false | false | 197 | py | from .base import *
EMAIL_BACKEND = 'django.core.mail.backends.filebased.EmailBackend'
DEV_MIDDLEWARE = [
'corsheaders.middleware.CorsMiddleware',
]
MIDDLEWARE = DEV_MIDDLEWARE + MIDDLEWARE
| [
"pablomoreno.inf@gmail.com"
] | pablomoreno.inf@gmail.com |
4e495b6e02d7d980aa75cd37a2ef5fe4a49fca2f | 686578a34cbddf8907c8bfcdbf3384175079abae | /inicial/PyLadies/settings.py | 784d3ee4dd736acfb749abba1c83c1135bb4ba3f | [] | no_license | pyladies-bcn/django2 | 9d157537c7dd6d202b0eb27f23ff70f2aad29013 | e709ab5a367a953d087e65f7c72b897a44b64ab6 | refs/heads/master | 2021-01-21T13:30:16.821911 | 2016-05-31T10:00:01 | 2016-05-31T10:00:01 | 51,360,083 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,956 | py | """
Django settings for PyLadies project.
Generated by 'django-admin startproject' using Django 1.8.9.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build pat... | [
"elena.he@idi.gencat.cat"
] | elena.he@idi.gencat.cat |
179b004ace92d1a013bb3734818d7fd450343c23 | 5fdb8e1c62ad28aed309fcd3a968ff0ffb2f06c5 | /codeforces/313A.py | 6e1480bb8725e4f7291dff06066112391bb73556 | [] | no_license | zero1hac/cp-practice | 5fd054a9058f313d20e7615d4bc708cb929f40bc | 7b518055418dc6ea29d056cd2b020ebec658616a | refs/heads/master | 2020-06-02T19:19:34.285853 | 2018-01-10T18:15:18 | 2018-01-10T18:15:18 | 94,103,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 189 | py | n = int(raw_input().strip())
max_ = n
if -1*(abs(n)/10) > max_:
max_ = -1*(abs(n)/10)
if (-1*(abs(n)%10) + int(n/100.0)*10) > max_:
max_ = (-1*(abs(n)%10) + int(n/100.0)*10)
print max_
| [
"6dushyantmishra20101@gmail.com"
] | 6dushyantmishra20101@gmail.com |
3be1cc1cbe3da3822f1507033315a0b55fd4c5ac | 04b1803adb6653ecb7cb827c4f4aa616afacf629 | /third_party/blink/web_tests/external/wpt/fetch/content-type/resources/content-type.py | 0b5e93b937c293250b33ae2cb2e5cbe43e381a86 | [
"LGPL-2.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | permissive | Samsung/Castanets | 240d9338e097b75b3f669604315b06f7cf129d64 | 4896f732fc747dfdcfcbac3d442f2d2d42df264a | refs/heads/castanets_76_dev | 2023-08-31T09:01:04.744346 | 2021-07-30T04:56:25 | 2021-08-11T05:45:21 | 125,484,161 | 58 | 49 | BSD-3-Clause | 2022-10-16T19:31:26 | 2018-03-16T08:07:37 | null | UTF-8 | Python | false | false | 591 | py | def main(request, response):
values = request.GET.get_list("value")
content = request.GET.first("content", "<b>hi</b>\n")
output = "HTTP/1.1 200 OK\r\n"
output += "X-Content-Type-Options: nosniff\r\n"
if "single_header" in request.GET:
output += "Content-Type: " + ",".join(values) + "\r\n"
... | [
"sunny.nam@samsung.com"
] | sunny.nam@samsung.com |
d2286f9a2ec7051b95f0462cfd5d39613dfeda7c | 2b1a7e6f82c47928a43d000da15d71ebfa04e923 | /easy_win.py | d494a5589d254207713443a0b641098b4a0505a1 | [] | no_license | Fremont28/march_madness_models- | 999681b20af06e67cd4ed8c08d2bbb688041709a | f4b8f0a5789f36aa2788daf85bec30220a30be1e | refs/heads/master | 2020-04-27T16:02:56.681500 | 2019-04-02T15:59:52 | 2019-04-02T15:59:52 | 174,470,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,872 | py | #march madness random forest modeling?
import numpy as np
import pandas as pd
import sklearn
from sklearn import preprocessing
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
import matplotlib.pyplot as plt ... | [
"noreply@github.com"
] | Fremont28.noreply@github.com |
9845ddb1b07729b8bf5d45cf74b655b89566a365 | 94d043275792c6f72ff69610c3b8d4d1dd56f096 | /lib/python2.7/site-packages/cpe/__meta__.py | 0f16b701ca09118469a7aa77c6a330cbfea12c59 | [] | no_license | luckyjd/python2.7_venv_tempv3 | d83e79a7cf27e00c0fa3f10b455f1337c8fa6d98 | c87af1131591063039cd1c588003d23ea532ec74 | refs/heads/master | 2020-03-08T19:38:27.441475 | 2018-04-07T10:51:58 | 2018-04-07T10:51:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,199 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from collections import namedtuple
# Developer definition.
# AFAIK: A human being capable of turn pizza & coke into code.
Developer = namedtuple("Developer", ("name", "email"))
__all__ = [
"__packagename__",
"__version__",
"__summary__",
... | [
"narusunday@gmail.com"
] | narusunday@gmail.com |
5168198c9bfd71064c01239f1e8e5af8cd8b8706 | 33f752e601866b2fe7649a471fa8fd9d47830ee2 | /abundances.py | 5b55c3ccd351c80390bd3e356efb05b5cbc39738 | [] | no_license | aceilers/spectroscopic_parallax | 7ad4cbdfb8d5a5052f39eb212e311744245cd6a2 | 2e324b2e669503a4b55618ab217f12247ec6aff1 | refs/heads/master | 2020-03-20T05:10:39.499717 | 2019-07-31T08:35:53 | 2019-07-31T08:35:53 | 137,205,830 | 7 | 3 | null | 2019-07-31T08:35:54 | 2018-06-13T11:23:51 | Python | UTF-8 | Python | false | false | 9,351 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 8 11:55:49 2018
@author: eilers
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import scipy.optimize as op
import time
import pickle
from astropy.table import Column, Table, join, vstack, hstack
import sys
from astropy.io... | [
"eilers@Christinas-MacBook-Pro.local"
] | eilers@Christinas-MacBook-Pro.local |
7f7b017d2b6d812018f24c2aa3d1a7c4f61a0e3d | 7d2daf2e5cb120bf1bda2d2b86bbb8e6df7651b4 | /docs/0.7/_static/notebooks/first_steps.py | 2f1dd5a8b25a78e76f18263a5ce8ff7575987954 | [
"MIT"
] | permissive | contrera/gammapy-docs | d99a6c3fcd6946a58e9e0dfc976fbf0b924444f6 | 1bab4b3be807462449631363571c59d457a6b27f | refs/heads/master | 2020-03-31T03:16:01.956605 | 2018-10-05T07:59:08 | 2018-10-05T07:59:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,639 | py |
# coding: utf-8
# # Getting started with Gammapy
#
# ## Introduction
#
# This is a getting started tutorial for [Gammapy](http://docs.gammapy.org/).
#
# In this tutorial we will use the [Second Fermi-LAT Catalog of High-Energy Sources (2FHL) catalog](http://fermi.gsfc.nasa.gov/ssc/data/access/lat/2FHL/), correspon... | [
"Deil.Christoph@gmail.com"
] | Deil.Christoph@gmail.com |
eaa43f6111fef04e541cc57c0e88380f7b5acd1b | 4142c5a61242f3f1c0c86c36b67a39738de67602 | /dlvi/vp/structured_gmm.py | 40d44a4fc4b3b5f2c601ff5ebb54a4c8fe7ef956 | [
"MIT"
] | permissive | llefolgo/dlvi | 49aaba620afc2188d9346c69aaa26676dad77808 | 2301a04a68668ab9eacc8196d90ea2a001486796 | refs/heads/main | 2023-08-29T02:17:21.413473 | 2021-10-13T20:03:54 | 2021-10-13T20:03:54 | 414,311,238 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,729 | py | from collections import namedtuple
import numpy as np
import torch
import torch.nn as nn
from torch.nn.functional import softmax, log_softmax
from torch.nn.parameter import Parameter
from torch import Tensor
from .base import VariationalParameters
class GMMVariationalParameters(VariationalParameters):
"""
d... | [
"loic@lefolgoc.net"
] | loic@lefolgoc.net |
2f270483a4ee5cbb61087a7c2d5bed458ca4ab99 | 0f0558065c3c1743d5fd72373ecf4bd0a1b62877 | /Classifier/generate-reports.py | 9c071099de5beba70a20e24fd352a1058da6b972 | [
"Apache-2.0"
] | permissive | leonardoads/RecSys-cariris | 47b7fbd6c765ddf23581f07b07a0b897addb050c | 98098bb072d3ab8f1faed248f350472c62cb199b | refs/heads/master | 2021-05-28T21:03:07.592365 | 2015-05-23T01:14:40 | 2015-05-23T01:14:40 | 33,254,116 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 892 | py | import os
from os import listdir
from os.path import isfile, join
import sys
rep_dir = sys.argv[1]
def get_files_in_dir(dir_path):
return [ f for f in listdir(dir_path) if isfile(join(dir_path,f)) ]
dir_path = os.path.dirname(os.path.realpath(__file__)) + "/" + rep_dir + "/"
file_paths = get_files_in_dir(dir_pat... | [
"talestsp@users.noreply.github.com"
] | talestsp@users.noreply.github.com |
32473ce729fccc6e0b67e307e604207b6a731331 | b27913c7372eabc5d736bcec58fd162056c575aa | /venv/Scripts/pip-script.py | e80ef915ca35c04d775fbf5a7fb3365ead6dfc31 | [] | no_license | bazhenov4job/soft_test | b39847e3483d45d34b99bf9302bcd2a360a48eb5 | 556a7b0e8dd9d4068a3227b83952c748d7e444e7 | refs/heads/master | 2020-12-22T21:30:17.133067 | 2020-02-02T16:56:44 | 2020-02-02T16:56:44 | 236,934,414 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | #!E:\SoftLogic\soft_test\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(... | [
"bazhenov4job@gmail.com"
] | bazhenov4job@gmail.com |
bedda5201e8709d0bee28aa1fadd7bd39ea7b648 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/sieve-big-4869.py | e198d69d1cf2a1db2fc927fc579a2edee3123d55 | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,741 | py | # A resizable list of integers
class Vector(object):
items: [int] = None
size: int = 0
def __init__(self:"Vector"):
self.items = [0]
# Returns current capacity
def capacity(self:"Vector") -> int:
return len(self.items)
# Increases capacity of vector by one element
def incr... | [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
cf20454e79615e13442f661c55ac68676eded721 | 7542a76c337fd18d83a717c55ef5d31e16609571 | /approaches/LAUR.py | 43630eebbc8864da577c1b88a98b70285fd32a3b | [] | no_license | kiujhytgtrfd2021/LAUR | 1d4b5e36079d11267b5b758d0f631f5c5f247156 | 5298aa8f31e9d2fef7e965b36cb2f9d2952db734 | refs/heads/master | 2023-04-18T12:30:07.536815 | 2021-05-01T05:33:18 | 2021-05-01T05:33:18 | 331,555,177 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,962 | py | import sys, time, os
import numpy as np
import random
import torch
from copy import deepcopy
import utils
from utils import *
import torch.nn.functional as F
import torch.nn as nn
from torchvision import models
from torchvision.models.resnet import *
import math
sys.path.append('..')
from arguments import get_args
ar... | [
"kiujhytgtrfd2021"
] | kiujhytgtrfd2021 |
43ce7b09dc7802c83f10a9e13d4c6bbc4079408b | 9b0c5ee86dbd8c9fdbe671f9e930bca13fd8ba68 | /core/text_search/tests/text_search_test.py | 4d251a183ffad7e1449c8a36472dc12412d6ccf0 | [
"MIT"
] | permissive | echim/pySteps | 80813fbd4061968f5cb6afc266fea084f920a769 | c33ac3446593b545aece475062d140527dcb443c | refs/heads/master | 2021-01-25T13:36:52.929830 | 2018-08-23T13:32:31 | 2018-08-23T13:32:31 | 123,597,946 | 10 | 2 | null | null | null | null | UTF-8 | Python | false | false | 686 | py | import pytest
from pyautogui import typewrite, hotkey
from core.enums.tesseract_language_code import LanguageCode
from core.helpers.app_manager import AppManager
from core.screen.screen import Screen
def check_ocr_for_word(word: str):
typewrite('%s ' % word)
screen_text = Screen.get_text(LanguageCode.ENGLISH... | [
"george.echim@gmail.com"
] | george.echim@gmail.com |
59984b1081ab61b5439d11277aa89ee3dc7f1f3c | f0e483c64ef6fe9b2834b61ac5709847bbe0664a | /method/pca.py | 2c34c97d7a1de021d0df608094a3c76ab123cd47 | [] | no_license | ZCHILLAXY/Car_Insurance_Risk | 5d45aef4fb895b1d8facae07e5758b92e3e395e3 | c4a55db38cb83dc2a97d538c7bb6f600a84125d3 | refs/heads/master | 2020-09-14T16:07:55.387279 | 2019-11-21T13:31:49 | 2019-11-21T13:31:49 | 223,178,554 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,162 | py | '''=================================================
@Project -> File :car_insurance_risk -> pca
@Author :Zhuang Yi
@Date :2019/11/19 20:07
=================================================='''
from sklearn.decomposition import PCA
from sklearn.preprocessing import MinMaxScaler
import numpy as np
import pandas as ... | [
"521178260@qq.com"
] | 521178260@qq.com |
a6905bbe780e3ec516da09e904dd666c96b4f4ff | 3782a0412ac48c4ff383f443a4d537fa9b4e627d | /euler029l.py | 6318edb8d58d378d9d0629592a63970ae299d24b | [] | no_license | MonsieurGalois/monsieurEuler | 495a6eb39c7ccfeab761356f9dd80537404b0bb9 | 31f3622b4641762ad88a2a73a55cd737e8456658 | refs/heads/master | 2020-06-07T23:05:26.103838 | 2014-06-09T04:01:16 | 2014-06-09T04:01:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 66 | py | print len(set([a**b for a in range(2,101) for b in range(2,101)])) | [
"antoniogf0710@gmail.com"
] | antoniogf0710@gmail.com |
aadbdd113e9ac3d93dad203d5549f454104cb73f | 3bb662400dcd168c66f0ccf7b76c086508721408 | /Nuisances/LeptonScale/samples.py | ae70a5614295d55d982f987dd2d34af9ece27c7d | [] | no_license | amassiro/PlotsConfigurationsCMSDAS2019Beijing | 4dea76368e2af18e40b9342f2d9863518993be3a | 04733d5429c93f073294a942828811891984a2de | refs/heads/master | 2020-09-16T12:40:39.425764 | 2019-12-09T03:13:21 | 2019-12-09T03:13:21 | 223,772,812 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,858 | py | import os
from LatinoAnalysis.Tools.commonTools import getSampleFiles, getBaseW, addSampleWeight
#
# function to simplify the life later ...
#
def nanoGetSampleFiles(inputDir, sample):
return getSampleFiles(inputDir, sample, True, 'nanoLatino_')
# samples
try:
len(samples)
except NameError:
import coll... | [
"massironi.andrea@gmail.com"
] | massironi.andrea@gmail.com |
8cfce97e1d57c3a59f1770fd204e848d6bae7536 | 93092ee9f65e872ccb2826291cfdcaf3c3ae72c9 | /store/views.py | 3f7dde607142fabbe221fa82813c2e2d4497af20 | [] | no_license | SergioRodas/Django-ecommerce | 5893d791a6d8d9c953ed4d3389ce277c23b14001 | 258710dde069ddc9058d9f75d8218e4e14e9899d | refs/heads/main | 2023-08-15T18:09:36.431537 | 2021-10-24T23:52:33 | 2021-10-24T23:52:33 | 403,732,841 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,807 | py | from django.shortcuts import render
from django.http import JsonResponse
import json
import datetime
from .models import *
from .utils import cookieCart, cartData, guestOrder
def store(request):
data = cartData(request)
cartItems = data['cartItems']
order = data['order']
items = data['items']
products = Produc... | [
"sergiorodasbj@hotmail.com"
] | sergiorodasbj@hotmail.com |
9f7ea893f084e1877c45b0c221294487922000dd | 1688cf63a2513238f3afdccdbb080aa0cca4004e | /learn python without code knowledge-- Craig Richardson/code 标准答案/adventure4/clickSpeed.py | 07d706e08fe17a6f4cc037e0c136ff96f6c9588d | [] | no_license | denotepython/pythonbook | 34910dd1379e5b5b9dce07c2126d02363af1ac0a | 885179a8ca67262c4db7fcb9b2673a3313a3ec92 | refs/heads/master | 2021-01-22T03:39:21.549355 | 2016-07-31T07:30:25 | 2016-07-31T07:30:25 | 58,024,965 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 605 | py | import Tkinter as tk
import time
window = tk.Tk()
clicks = 0
start = 0
goal = 10
def buttonClick():
global clicks
global start
if clicks == 0:
start = time.time()
clicks = clicks + 1
elif clicks + 1 >= goal:
score = time.time() - start
label.config(text="Time: " + st... | [
"1134568611@qq.com"
] | 1134568611@qq.com |
03e695bf3468a037ec087ba0362505eba18c5c69 | c292c54b612e8eb7fa5710868fb3dc689ee8245a | /hangman.py | 81c86e29c6bef86f9e21b01a2a68965975c2cfa6 | [] | no_license | MatanBakva/Hangman | a8b2d9e95c14ad4354b65ef51c5cb0e2761f13f0 | 6abf5a47b91460f361a54d30016f91b383e14bb5 | refs/heads/main | 2023-05-13T00:13:24.249974 | 2021-06-04T10:38:09 | 2021-06-04T10:38:09 | 373,805,063 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,826 | py | import os
def createEmptyWord(word):
emptyWord = ""
for i in range(len(word)):
emptyWord += "_"
return emptyWord
def updateFoundLetters(word, letter, found):
myword = list(found)
for i in range(len(word)):
if word[i] == letter:
myword[i] = letter
re... | [
"noreply@github.com"
] | MatanBakva.noreply@github.com |
81cbc6533647d5a0e6e578c584381c6e9044307f | 413b05adc23ed37d499b764a378f4f827e37e084 | /mysite/blog/forms.py | 82582d87d19670961975eddb376ac3da2f278c3f | [] | no_license | daMichaelB/django-demo | 746d1f1b17fd5624f716abe0541ec4f59c37b1e4 | 34ee9bb14eb426cbcf6acb9afc8d81959d9a742b | refs/heads/master | 2022-07-23T04:13:49.590761 | 2020-05-16T20:33:29 | 2020-05-16T20:33:29 | 255,151,140 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 577 | py | """
Forms can reside anywhere in your Django project. The convention is to place them inside a forms.py file
for each application.
"""
from django import forms
from .models import Comment
class EmailPostForm(forms.Form):
name = forms.CharField(max_length=25)
email = forms.EmailField()
to = forms.EmailFiel... | [
"michael.boesl@t-online.de"
] | michael.boesl@t-online.de |
0617798605ed6dcfcc55fb89ecc78c4b66089205 | f0db15abbfa7af9d26a77f851d8a9c598ea4dc65 | /Revogreen-Technologies-Private-Limited-Assignment/revogreenAssignment/assignmentapp/migrations/0005_inputdata.py | c670a89efc6fb3ce357c67a617b3c697be0c9233 | [] | no_license | rajutges/Python-Input-and-Output-UI | adeeb284f01f43c74e553377dfabff65d3d066b2 | 653af1c5a02b410cef310d2ac997ff61c2d54e8d | refs/heads/main | 2023-05-13T06:05:31.709520 | 2021-06-04T18:33:11 | 2021-06-04T18:33:11 | 354,269,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 530 | py | # Generated by Django 3.1.7 on 2021-04-03 04:55
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('assignmentapp', '0004_delete_inputdata'),
]
operations = [
migrations.CreateModel(
name='Inputdata',
... | [
"rajutges@gmail.com"
] | rajutges@gmail.com |
6ed912496e1cc79cb24ded7571998866efe6d956 | 181796564d0e8ab53384ff1b93119a3fdad2a6b8 | /resnet/seresnet18.py | aea722d23a7209fce39bfc4c656497008a082188 | [] | no_license | Hong-Bo/hands-on-pytorch | fa9822b39847e2cf4cd2ca751e0ae7a28389a163 | b8ce367cfe1754b69d03a2f78082e04d2cc7f5a7 | refs/heads/master | 2021-07-12T04:40:48.258060 | 2019-01-29T09:06:44 | 2019-01-29T09:06:44 | 147,145,705 | 3 | 0 | null | 2018-09-17T13:03:55 | 2018-09-03T03:15:10 | Python | UTF-8 | Python | false | false | 11,883 | py | """An implementation of SEResNet-18 to classify CIFAR-10 dataset
The model is slightly tailored in several ways. The original network
was designed for dataset with much higher resolution while images in CIFAR-10
only have resolution of 32 * 32. Due to resolution discrepancy, this version
of SEResNet-18 has smaller ker... | [
"hongbo@univer.ai"
] | hongbo@univer.ai |
dff9daf648c21e002474f1f59dd0ee3c59e0a75d | b620331c9876e09cde7c51e7e6cfd097799b76b7 | /Amazon Price Tracker/main.py | 1fadaf1f0ca33d46c7b63cc4496deffb139a04ae | [] | no_license | Gupta731/Python-Bootcamp | c785c7a23bdd64e913439fbaf97a34fdd017a5e6 | 1af7cde93ff377541acdc0befe5d832436aa24f9 | refs/heads/main | 2023-07-25T21:39:43.973652 | 2021-09-08T11:09:07 | 2021-09-08T11:09:07 | 382,221,905 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,625 | py | import os
import requests
from bs4 import BeautifulSoup
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
AMAZON_PRODUCT_URL = 'https://www.amazon.in/Dell-inch-60-96cm-Full-Monitor/dp/B07FDNTS33'
EXPECTED_PRICE = 16000.00
AMAZON_HEADERS = {
'User-Agent': '... | [
"noreply@github.com"
] | Gupta731.noreply@github.com |
90457b3947a5e982ae8dcd396dc96c36cf585290 | 7529e44d6472b73be5ec6815f08037a62214b58a | /converter/forms.py | d5721523b31508900df2d30980d929cef8989e2c | [] | no_license | spacebra/basproj | 63275bf8fd9129271743650a18e0c58caae28c6a | 498d7a8dd5223949db08fda82a7238d2f7ba74e3 | refs/heads/master | 2020-05-28T10:13:11.350793 | 2012-05-10T08:59:00 | 2012-05-10T08:59:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 672 | py | from django import forms
from django.db import connection
from converter.models import Student
class DropDownList(forms.Form):
tables = connection.introspection.table_names()
seen_models = connection.introspection.installed_models(tables)
choice = []
for model in seen_models:
if "converter" i... | [
"pianooooooooo@gmail.com"
] | pianooooooooo@gmail.com |
13f5b7dd1c8917cdf7aade9b6ea9ee975608d31b | 15978aacf0e44a890e36ff94c305aca5a056e5e8 | /10day--周六补/04-getpid和getppid.py | ec53cc565bba6bd0c33838ef3262a68ca235a100 | [] | no_license | ittoyou/1805_python_2 | ffbe613d893208b2454ef4f25cc2b8a9951ff047 | 1d6331a83598863042912bb26205d34417abed73 | refs/heads/master | 2020-03-24T13:58:12.276827 | 2018-07-27T07:58:57 | 2018-07-27T07:58:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | import os
pid = os.fork()
if pid == 0:
print("老王")
print("我是子进程进程号是%d 我的父亲进程是%d"%(os.getpid(),os.getppid()))
else:
print("我是父进程我的进程号是%d 我的父亲的进程号是%d"%(os.getpid(),os.getppid()))
print("老宋")
| [
"qingyuan@geekniu.com"
] | qingyuan@geekniu.com |
d5dd57aa2a662b0eb2e43ccd25888c2557a13288 | d3b6c811daa758088fbbbcefd802ad4066722c0a | /Heuristic.py | 705838d59df3934c727159a833c239afbabaf68e | [] | no_license | ancelinSerre/INF4230_IA_TP1 | f08619464b1beef1a04f5392a8968fa0325b9705 | 5de06d60cd44fe29f2d45a5b5c690b09d41496a9 | refs/heads/master | 2022-04-05T17:10:31.292845 | 2020-02-11T22:32:23 | 2020-02-11T22:32:23 | 238,564,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 775 | py | import math
class Heuristic:
def manhattan(src, dest):
"""
Méthode permettant de calculer
l'heuristique de Manhattan entre deux cellules.
:param Cell src: Cellule d'origine.
:param Cell dest: Cellule destination.
:return: La distance de Manhattan entre les deux cellules.
:r... | [
"ancelin.serre@outlook.com"
] | ancelin.serre@outlook.com |
197f64970d1347c324c7e7f3d9ad25dc1449b71f | b6587f254ca8aed839174826b691632cb14d8d06 | /main.py | 92e2b48f131532396b3c6c2fec5a418fe5324f6c | [
"MIT"
] | permissive | wy-ei/text-classification | 9084925b990a7d9a01141e3f31a9af505979e260 | 383254773854d8939cd7fcd5100acc10148c0e12 | refs/heads/master | 2021-07-04T11:26:11.366408 | 2019-05-26T05:47:28 | 2019-05-26T05:47:28 | 188,428,573 | 11 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,289 | py | import os
import logging
import torch
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataLoader
logging.basicConfig(level = logging.INFO, format = "%(asctime)s - %(message)s")
logger = logging.getLogger(__name__)
from cnn.model import TextCNN
from rcnn.model import TextRCNN
... | [
"wangyu_it@yeah.net"
] | wangyu_it@yeah.net |
7ab3918aa5cf40b78153f5ca1a7c537f0d13521d | 646ba5ab18f09a27be7666097974a46efbcda57d | /cf.py | 41dcb6725a4e4b4635f17590ec73e7c5799ef71b | [] | no_license | ivy12138/cf | 9b1b8c01364d1acafda4c62f18ae7d4d76e836bb | 69476bb57cbc5dcb442968f9f46cb731fef6f00a | refs/heads/master | 2020-12-18T09:31:26.255317 | 2020-01-21T11:59:46 | 2020-01-21T11:59:46 | 235,330,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 66 | py | c=input('enter the C:')
c=float(c)
f=c*9/5+32
print('the F is:',f) | [
"ivylinan12138@gmail.com"
] | ivylinan12138@gmail.com |
475e75b8f8bfdc3e3814285a38b122eab525e30d | 47ba931b8f96a0e3fe109b6a2c31b96a5db8235d | /nvgd/src/nets.py | 911f51b4350a8ede5b6d148f7a454df74ff3a14b | [] | no_license | langosco/neural-variational-gradient-descent | b54f51a125c1fb6e5a1e790942d85c7edc008298 | ee4acfde3858be21de25ec13f2a0db5c3fd3bce1 | refs/heads/master | 2023-06-26T02:42:11.361454 | 2021-07-29T10:41:16 | 2021-07-29T10:41:16 | 390,678,429 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 12,386 | py | import jax.numpy as jnp
from jax import vmap, grad, random
import jax
import haiku as hk
from . import kernels
from collections import Mapping
def bandwidth_init(shape, dtype=jnp.float32):
"""Init for bandwith matrix"""
d = shape[0]
return jnp.identity(d, dtype)
def debug_layer(debug=False, out: str = '... | [
"langosco.lauro@gmail.com"
] | langosco.lauro@gmail.com |
d983595b39374208caf878802431bbde31485a9f | 7c900764f98df8af60af4267c05586e567d9c261 | /Data Visualization/lutter_dice.py | c5a88d4bf46eccf7d93ecc317becafc3305b1eaf | [] | no_license | thomas5566/Python-Crash-Course | ed3516a7e022da330b9a0dfc43f8425635d5d441 | 770f3739864e32a4bfb36394a8686d73a869a924 | refs/heads/master | 2022-11-27T05:29:19.362593 | 2020-07-23T07:05:54 | 2020-07-23T07:05:54 | 281,876,147 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 807 | py | from die import Die
import pygal
# Create a D6
die = Die(48)
# Make some rolls, and store results in a list
results = []
for roll_num in range(500000):
result = die.roll()
results.append(result)
# Analyze the results
frequencies = []
for value in range(1, die.num_sides + 1):
frequency = re... | [
"noreply@github.com"
] | thomas5566.noreply@github.com |
ca067eaa51836220f003ce78cf9daf86f51621d1 | 9c93dde4ece0b44b9d8f174390c9a50dc4da1b7d | /selfintro/urls.py | b9605baf010981c6c535e4b54bb956d5d457d905 | [] | no_license | hkchy7890/Self-Intro-2020-09-09 | 2469f1c517c2bb184d5d9af493a16029695a38ad | 5090c2729c1e5ea98ae69af55f00a833033576f9 | refs/heads/main | 2023-01-27T11:14:11.026700 | 2020-12-05T13:15:53 | 2020-12-05T13:15:53 | 294,081,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 797 | py | """selfintro URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | [
"hkchy7890@hotmail.com"
] | hkchy7890@hotmail.com |
cc579df82cb3f26f3a1f4a2158732c21de8be6e7 | f4dfaa03afe2630fa03619cad7299be98be913e7 | /before_2021/Q7.py | 309d079b29bb57ebd528177b73decd6f28999605 | [] | no_license | Jung-Woo-sik/mailprograming_problem | 396cd2789bce2ae2c72791326945bd95aada49b7 | 4ead01e353b30911a24122fe6c7aee3eaac40412 | refs/heads/master | 2021-11-05T02:47:24.116450 | 2021-11-04T07:41:27 | 2021-11-04T07:41:27 | 152,204,290 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 582 | py | from collections import defaultdict
import heapq
def rearrange(string):
frequencies = defaultdict(int)
for letter in string:
frequencies[letter] += 1
heap = []
for char, count in frequencies.items():
heapq.heappush(heap, (-count, char))
count, char = heapq.heappop(heap)
result = [char]
while heap:
last... | [
"o0o0@cs-cnu.org"
] | o0o0@cs-cnu.org |
167fa9bdddf2e6faa889f3a340d373c7578eab82 | 2dd2684655ebca201bffc8b4e311abc92928b624 | /practical2/methods/xgboost/util.py | 9f6235bf7ce1eaf739eaa74a6f794c62edbbcec1 | [] | no_license | victordomene/cs181-practicals | 1cf9c9ad8a3433b7b0facd06248bfec5d7baab06 | 14aff2a09cd4a9d58c759c532f5247541857b5ce | refs/heads/master | 2020-12-11T22:18:17.483754 | 2016-04-29T21:40:28 | 2016-04-29T21:40:28 | 51,220,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,452 | py | # sets of syscalls
all_syscalls = ['processes', 'process', 'thread', 'all_section', 'load_image', 'load_dll', 'open_file', 'get_windows_directory', 'check_for_debugger', 'get_system_directory', 'open_key', 'query_value', 'create_mutex', 'set_windows_hook', 'create_window', 'find_window', 'enum_window', 'show_window', '... | [
"victordomene@college.harvard.edu"
] | victordomene@college.harvard.edu |
f2c2fc5b94a20fe8435aa2f84d5980f48a479787 | 43ec3b32735efd0ca251cac5ac4abc44b9c7a3a0 | /username.py | bfb5eb27b3a19b6534485c836d0ef99bd44681b9 | [] | no_license | SchneizelX/oop_practice | 8d2b94152777fa5304d792b5bed3ab8178ea7e98 | 170fd4dfeb46123526781f6b15b2910e3f8c3303 | refs/heads/master | 2021-02-08T05:23:07.993717 | 2020-03-01T11:56:10 | 2020-03-01T11:56:10 | 244,113,676 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | class UserName:
def __init__(self, name):
if not (4 <= len(name) <= 20):
raise ValueError(f'{name}は文字数のルール違反です')
self.name = name
def screen_name(self):
return self.name.upper()
hibiki = UserName(name='hibiki')
# print(hibiki)
# print(type(hibiki))
sho = UserName('sho')
| [
"endress_victory@icloud.com"
] | endress_victory@icloud.com |
6e0a95d6840dcda00e9a642853559b9ab7d733c3 | 19212b49da22232c1380b2da8cb89992daf2e640 | /tests/context.py | bd79bd1ec8194448e3012f1010cbcfb09febddb8 | [
"MIT"
] | permissive | sasaki77/pvarpc2web | a92a0fbe06ea49e1b068e4c2828819a8fcb19293 | 819fdbfdea4651fa4661c693ec38551f8c3a71e8 | refs/heads/master | 2020-05-20T02:10:23.894282 | 2019-05-16T05:58:27 | 2019-05-16T05:58:27 | 185,325,924 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | import os
import sys
import pvarpc2web
from pvarpc2web import create_app
from pvarpc2web import config
from pvarpc2web.pvaapi import pvaapi
from pvarpc2web.accessctrl import accessctrl
sys.path.insert(0,
os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
)
| [
"shinya.sasaki@kek.jp"
] | shinya.sasaki@kek.jp |
a3c16eda272ef3f85077c06a0313d77336a7145b | c6d0537be8966a5560dff53b2edf177dd55c2fa7 | /assignment_4.py | d01e362c248e6271b3c434fd05828e7f54693815 | [] | no_license | kensk8er/udacity | a21ce120f3a997d0da9875de702fa1d3cb6649af | 681f104e79e5b2a105f63bec85af580f74c7224c | refs/heads/master | 2021-01-10T08:20:30.804914 | 2016-03-20T15:12:16 | 2016-03-20T15:12:16 | 50,887,275 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,046 | py | # -*- coding: UTF-8 -*-
"""
Script for assignment 4.
"""
from __future__ import print_function
import os
import numpy as np
import tensorflow as tf
import cPickle as pickle
PROJECT_ROOT = '/Users/kensk8er/PycharmProjects/udacity'
PICKLE_FILE = os.path.join(PROJECT_ROOT, 'notMNIST.pickle')
# assignment parameters
I... | [
"kensk8er1017@gmail.com"
] | kensk8er1017@gmail.com |
dc6434ce3543373aa719ed06e1edac3d7d983e6c | 16b79777a3b627cafc240c237de9acb4eb948883 | /option.py | 9576f0d0c6a8f04e488ce8e230b720e1214e21f8 | [] | no_license | smiler96/Image-Super-Resolution | e8394a5b5b46cb1139b69d21bdf9996b9e0deb66 | 3d4eb98b4643802f31601f3edf2fe35e8812ab78 | refs/heads/master | 2022-12-28T09:06:56.038298 | 2020-10-21T08:09:43 | 2020-10-21T08:09:43 | 303,711,401 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,279 | py | import argparse
parser = argparse.ArgumentParser(description='Image Super Resolution')
# Train or Test
parser.add_argument('--phase', type=str, default='train',
help='chose the phase for the model, train or test',
choices=['train', 'test'])
# Hardware specifications
parser.add... | [
"wanqian_hust@163.com"
] | wanqian_hust@163.com |
d17035de6b5911c40b4cb3b07529449ea464fef3 | ab5dfb7e6d14996b8340c5202ad49024d1f1ef02 | /grpclib/__init__.py | 0a3588e68466cf743000d59ab82de19a532ce2ce | [
"BSD-3-Clause"
] | permissive | SupperSpiderMan/grpclib | f4352fbbfcfc5a286e2174e964f51d0e7428d2ae | 89fbfd514f1f377a16d64c5a9732cf71090e0a7a | refs/heads/master | 2021-04-23T15:32:45.354275 | 2020-03-20T12:41:14 | 2020-03-20T13:05:19 | 249,936,393 | 1 | 0 | BSD-3-Clause | 2020-03-25T09:27:41 | 2020-03-25T09:27:40 | null | UTF-8 | Python | false | false | 132 | py | from .const import Status
from .exceptions import GRPCError
__version__ = '0.3.2rc1'
__all__ = (
'Status',
'GRPCError',
)
| [
"vladimir@magamedov.com"
] | vladimir@magamedov.com |
5e17c8ee9007d4d99d9bfa522931c8810c00e8f9 | e1a9a44b5447a4d7087f1346ab32a0203a687d57 | /accounts/urls.py | d2216ca5f2d1c7c5859f42417942ff4190db9e11 | [] | no_license | iam-lama/django-boards | f64c10fe9c3bc9ecc51c01c1f3ec4458a81213c8 | b8e93ba2f1ce387abd9f2aa300c1e23fec5f5ef6 | refs/heads/master | 2020-04-06T16:27:11.442317 | 2018-11-15T17:12:35 | 2018-11-15T17:12:35 | 157,620,429 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | from django.urls import path
from django.conf.urls import url
from django.contrib import admin
from boards import views
from accounts import views as accounts_views
app_name = 'accounts'
urlpatterns = [
url('', accounts_views.signup, name='signup'),
]
| [
"lama.m.ghool@gmail.com"
] | lama.m.ghool@gmail.com |
b6b5adee388877c577fa79310e071e94f001f166 | cdfc590bf6b020d10106c0994609ca3c1797b01a | /project/urls.py | 71a43d98a6befb635bd27af465f2d61dbf1fc216 | [] | no_license | prashantkhanal/Django | 48093494f1389d08a9a60308fe1a26e9e3acf722 | 72ef0cd5387be3b9526ae342a074f63496b9c3ba | refs/heads/main | 2023-05-27T00:31:59.046516 | 2021-06-18T20:21:23 | 2021-06-18T20:21:23 | 378,257,246 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 379 | py | from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include("Books.urls", namespace="Books")),
path('', include("Student.urls", namespace="student")),
# path('', include("Teacher.urls", namespace="Teacher"))
path('', inclu... | [
"prashantkhanal32@gmail.com"
] | prashantkhanal32@gmail.com |
6c36bcd38fddaf1b17e82c50383c05d460021889 | 4081a8b244ecfba2101f0a22b36defd187ae14b5 | /data.py | 5eb6c4d610a77f32051d397a30bab2192b119bbd | [] | no_license | bearhsiang/ConvVAE | ba7c090a7601d1308c8daaf488a8f134bea93453 | 1641e3b3923d5b2d0dd6cb8908ecf9f826d90184 | refs/heads/master | 2020-09-08T19:35:00.603645 | 2019-12-02T03:48:58 | 2019-12-02T03:48:58 | 221,226,389 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 749 | py | from torch.utils import data
import json
import numpy as np
class Dataset(data.Dataset):
def __init__(self, filename, doc_max_len=20, tle_max_len=20, pad_idx=0):
self.data = json.load(open(filename, 'r'))
self.len = len(self.data['document'])
self.doc_max_len = doc_max_len
self.tle_m... | [
"b05902066@ntu.edu.tw"
] | b05902066@ntu.edu.tw |
c5e3c38906d2ddb8424939b5993df5bef18264d1 | 5c5242f97d583402ed50a058dfc65c3716201f23 | /import one/fib.py | 6975f9f1fb45870be64ca09d1d83cc6f399ec345 | [] | no_license | LinLetLetLwin/SFUpython | 5d633d5f286a76e7ab3d4df7a9c8460144a8104d | c0a61abbd02c62ec9e0be32dec1ed9d4dc29b3a7 | refs/heads/master | 2020-12-14T07:50:35.903388 | 2020-03-07T03:24:47 | 2020-03-07T03:24:47 | 234,679,493 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | import fibonacci
# f = fibonacci.fib
# f(200)
# fibonacci.fib(10000)
# --------------
# from fibonacci import fib, fib2
# f = fib2(500)
# print(f)
# ------------
# from fibonacci import *
# fib(500)
# print(fib2(500))
# --------------
import fibonacci as fi
fi.fib(500)
# --------------
# #from fibonacci im... | [
"linletlet2002@gmail.com"
] | linletlet2002@gmail.com |
cf2b0a6d9feae8b7f1b6a38df7293315e0383914 | c7d6ec972b29979aed50ae33151b0d89ef4fde0f | /leetcode/909-snake and ladders.py | c0a84b65c4b24e06952144744b33dab2c0458dc2 | [] | no_license | harvey103565/OI-Algorithm-wareh | ad38381f775f404c69c3cd2da12eb0cd724c61c9 | 84c81fd17c652141d3d194da3481a7241c2accf6 | refs/heads/master | 2020-03-31T17:43:25.957737 | 2019-01-11T02:34:47 | 2019-01-11T02:34:47 | 152,432,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,768 | py |
class Solution:
def snakesAndLadders(self, board):
"""
:type board: List[List[int]]
:rtype: int
"""
n = len(board)
limit = n * n - 1
routine = [board[i][j] if (i % 2 != n % 2) else board[i][n - 1 - j] for i in range(n - 1, -1, -1) for j in range(n)... | [
"harvey103565@gmail.com"
] | harvey103565@gmail.com |
ce523f2e4b163a30d2d9e69e29cd875ce9510f18 | 260efd3f9de19675c92259e78ee2ed2a4a3b733a | /实验/oTree/my_expriments/models.py | ca055f5f877fea9ea21b9d2a6a46f70336e1c849 | [] | no_license | TrinityWei/PycharmProjects | 0d719986ee81e28e129277d4308299c82b1e1b4d | c13ad1e13ab0b87e7a85062a13b804ccf0c8bc72 | refs/heads/master | 2020-06-26T09:41:48.850777 | 2019-07-30T07:30:10 | 2019-07-30T07:30:10 | 199,598,818 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 856 | py | from otree.api import (
models, widgets, BaseConstants, BaseSubsession, BaseGroup, BasePlayer,
Currency as c, currency_range
)
author = 'Your name here'
doc = """
Your app description
"""
class Constants(BaseConstants):
name_in_url = 'my_expriments'
players_per_group = 3
num_rounds = 1
end... | [
"243315792@qq.com"
] | 243315792@qq.com |
9a6217ba903db15ce55d5932ce3d99f2f47eda1e | 1466a922155c26e5cf759956aee2aaf4f78b132b | /rpyc/utils/zerodeploy.py | 27ebcc8388dca28618ec6a03386db1a9869af8e2 | [
"MIT"
] | permissive | timharley/rpyc | b8d5f33ed54bb55f132ec06949bd53b7b38db727 | 367c0d4d2551ab0ba468f81356cd834ab443ea60 | refs/heads/master | 2021-01-16T00:36:32.173965 | 2013-05-07T18:15:52 | 2013-05-07T18:15:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,145 | py | """
.. versionadded:: 3.3
"""
from __future__ import with_statement
import rpyc
import socket
from contextlib import contextmanager
try:
from plumbum import local, ProcessExecutionError
from plumbum.utils import copy, delete
from rpyc.core.service import VoidService
except ImportError:
import inspect
... | [
"tomerfiliba@gmail.com"
] | tomerfiliba@gmail.com |
0934c88cdcd78b708e90bf330ee920b6020e6cd6 | 41a63e5826f95a092135eeb9977d398ed4bcc102 | /day5/day5.py | 3957a7f5ae6666467fb86a3d8b3165ae0a66002a | [] | no_license | leej11/advent_of_code_2019 | 9c49a910c2307aa5b252d22a3b9935f62d2cb15c | a22e2e5cb848f98416dee19a81e77804ce9eb0af | refs/heads/master | 2020-09-23T09:19:48.037219 | 2019-12-16T16:18:37 | 2019-12-16T16:18:37 | 225,464,122 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,139 | py | # 1202 Program Alarm
# An intcode program
# First Number: "Opcode" [1,2,99], indicates what to do
test_list = [3,9,8,9,10,9,4,9,99,-1,8]
def intcode_computer(input, test_list):
x = 0
# This while loop performs the value re-assignment described in the challenge
while x < len(test_list) - 1:
####... | [
"lee.gower17@gmail.com"
] | lee.gower17@gmail.com |
85d65a51d9f79ae5964d3d25847c06d70bf6cadd | 9a169f7ed6ce3b3809c6fc2f081b52f589bb42f7 | /Tieba/spiders/tieba.py | fab366ea4ca6af5bb2256340f436aba77c8de355 | [] | no_license | ErDangJia0/tieba | 0bdc32c735c53f4ac36209a7b5cf2a93d8530bcf | f4254a01d9a74449811445478ed8480baa9f0b5d | refs/heads/master | 2020-04-29T10:17:45.523448 | 2019-03-18T05:49:43 | 2019-03-18T05:49:43 | 176,056,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,177 | py | import scrapy
from Tieba.items import TiebaItem
from bs4 import BeautifulSoup
import re
class TiebaSpider(scrapy.Spider):
tName = input("请输入你要爬取的贴吧:")
page = int(input("请输入要爬取的页数:"))
name = 'tieba'
pn = 0
url = 'http://tieba.baidu.com/f?kw=' + tName + '&pn='
start_urls = [url + str(pn)]
ba... | [
"568310613@qq.com"
] | 568310613@qq.com |
05073029ccc857378309cc8e9d2f50defc40c4d1 | 5a77b5092acf817ac37a5fafd006feea434dd0d6 | /terminatorlib/prefseditor.py | b63c5cf0119b062c6162a6b55d55650506d71ba1 | [] | no_license | shihyu/MyTool | dfc94f507b848fb112483a635ef95e6a196c1969 | 3bfd1667ad86b3db63d82424cb4fa447cbe515af | refs/heads/master | 2023-05-27T19:09:10.538570 | 2023-05-17T15:58:18 | 2023-05-17T15:58:18 | 14,722,815 | 33 | 21 | null | null | null | null | UTF-8 | Python | false | false | 66,362 | py | #!/usr/bin/env python2
"""Preferences Editor for Terminator.
Load a UIBuilder config file, display it,
populate it with our current config, then optionally read that back out and
write it to a config file
"""
import os
from gi.repository import GObject, Gtk, Gdk
from .util import dbg, err
from . import config
from... | [
"yaoshihyu@gmail.com"
] | yaoshihyu@gmail.com |
8ac3a44f6b6bec67bac5320465fb81c6316968c2 | 63768dc92cde5515a96d774a32facb461a3bf6e9 | /jacket/api/compute/openstack/compute/schemas/migrate_server.py | b71561ae9ff7c244124debe5f8a8438ca30924d7 | [
"Apache-2.0"
] | permissive | ljZM33nd/jacket | 6fe9156f6f5789e5c24425afa7ce9237c302673d | d7ad3147fcb43131098c2a5210847634ff5fb325 | refs/heads/master | 2023-04-16T11:02:01.153751 | 2016-11-15T02:48:12 | 2016-11-15T02:48:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,752 | py | # Copyright 2014 NEC Corporation. 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 ... | [
"nkapotoxin@gmail.com"
] | nkapotoxin@gmail.com |
5b6e7e4d826eb1bf806cb0106ebabe5bb37d2894 | 0eb03c06419a8119cae168091b3faa4ac1917a47 | /ch04/function.py | 9ffb91e6cf5582768d59b2ca8754de989f9c561b | [
"MIT"
] | permissive | AngelLiang/python3-stduy-notes-book-one | 15bd7052b25f500cb3d5be9ebc896671261964aa | 6bd62707aaba4f20dec5c622a35f55a8870ff82d | refs/heads/master | 2020-12-03T03:19:07.233983 | 2020-01-03T03:35:37 | 2020-01-03T03:35:37 | 231,194,900 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,901 | py | """函数
# 创建
函数由两部分组成:代码对象持有字节码和指令元数据,负责执行;
函数对象则为上下文提供调用实例,并管理所需的状态数据。
>>> def test(x, y = 10):
... x += 100
... print(x ,y)
...
>>> test # 函数对象
<function test at 0x...>
>>> test.__code__ # 代码对象
<code object test at 0x..., file "...", line 1>
代码对象的相关属性由编译器生成,为只读模式。
存储指令运行所需的相关信息,诸如源码行、指令操作数,以及参数和变量名等。
>>> ... | [
"E7EE477C11C98D403F318118733EAA5C@i-search.com.cn"
] | E7EE477C11C98D403F318118733EAA5C@i-search.com.cn |
b31b060f47b19518a9e6260ac1453f7ea19a6dda | 4249ac094475c753ad0714b0967663320ba076f5 | /musicdir.py | 9e1d7d20a273ba661c4433f429e43857fce6ce1d | [
"MIT"
] | permissive | fxnn/musicdir | 4f3ab033f5aa07a204023a3bacbd5f9397dc2a67 | b4dfb33457031cd464b11a4e2d39a53cf829cca6 | refs/heads/master | 2022-04-20T22:35:47.857906 | 2020-04-19T13:09:28 | 2020-04-19T13:09:28 | 256,725,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 853 | py | #!/bin/env python
import os
known_music_extensions={'mp3', 'flac', 'ogg', 'wav', 'wma', '3gp', 'aac', 'aiff', 'au', 'dss', 'm4a', 'oga', 'opus', 'webm'}
class MusicDir:
def __init__(self, abspath):
self.abspath=abspath
self.dirs=set()
self.files=set()
self.extensions=set()
def... | [
"dev@fxnn.de"
] | dev@fxnn.de |
fb5b8741a7f3ab1b0292653c1e456d52c6fbf297 | 27acd9eeb0d2b9b6326cc0477e7dbb84341e265c | /test/vraag4/src/warmste-week/44.py | d719315393ffa6bef0b3edfc9fb3c08bf9786cf3 | [] | no_license | VerstraeteBert/algos-ds | e0fe35bc3c5b7d8276c07250f56d3719ecc617de | d9215f11cdfa1a12a3b19ade3b95fa73848a636c | refs/heads/master | 2021-07-15T13:46:58.790446 | 2021-02-28T23:28:36 | 2021-02-28T23:28:36 | 240,883,220 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 249 | py | def gift_inschrijven(tup,woordenboek):
klas=tup[0]
bedrag=tup[1]
if klas in woordenboek:
geld=woordenboek[klas]
geld+=bedrag
woordenboek[klas]=geld
else:
woordenboek[klas]=bedrag
return woordenboek | [
"bertverstraete22@gmail.com"
] | bertverstraete22@gmail.com |
946c2fb4e2993f80551423a844becf5b6d7fdf81 | add077a907a8adf4ef384f037f223506bd25850a | /train.py | 9278a98cf801ea08c53a5803a605e426ba61e866 | [
"MIT"
] | permissive | qwzhong1988/DeepIQA-1 | f144067ed595df01772095847533c9e52dfadbc7 | 8c11a2a20bfe15ac26362a67bed6591ba98836fd | refs/heads/master | 2021-06-18T05:10:36.899483 | 2017-06-20T05:03:21 | 2017-06-20T05:03:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,668 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 28 15:49:24 2017
@author: justjay
"""
import numpy as np
import random
import argparse
from iterator import SerialIterator
import chainer
from chainer import cuda
from chainer import serializers
from chainer import optimizers
from chainer import datasets
from chainer imp... | [
"995020655@qq.com"
] | 995020655@qq.com |
dbb36061f2cfc9b091523703c3902175d4a421b9 | 093c8a23448ff847649e9507a061457793f43813 | /Admin UI/SSH.py | 7e7820d1d32bd893b90f8e4df9aec33a26c2ec3f | [] | no_license | alexperkins/Senior-Design | 080ada61d359da48452a99fe442028a620981b83 | 5aee83efc369b69d5a8d4212877a617d1bf6dd8f | refs/heads/master | 2020-07-31T13:49:42.727902 | 2020-04-24T17:04:16 | 2020-04-24T17:04:16 | 210,623,827 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 955 | py | import os
import paramiko
from datetime import datetime
import Authorization
def getLog(sourcePath,destinationPath,fileString):
currentDate = datetime.today().strftime('%Y-%m-%d')
newLogFile = fileString + currentDate + '.log'
localPath = destinationPath + newLogFile #destination path
remote... | [
"noreply@github.com"
] | alexperkins.noreply@github.com |
489bcb93be6187df718facdbb8397383188b4e5d | 024b434652c3e329bc7740c7b0c1776c7d6da54f | /cli/connect.py | 0c1a53603414dd086019f90c68d2b9f84431d230 | [
"MIT"
] | permissive | Barski-lab/cwl-airflow-cli | 3bffa85b519bc7ad645a798327af19fafb570639 | ede2928fb1cb161ae985d11a365ae2e6da4afa97 | refs/heads/master | 2021-01-20T22:05:42.415130 | 2017-09-16T19:38:25 | 2017-09-16T19:38:25 | 101,799,674 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 816 | py | #! /usr/bin/env python
import MySQLdb
import urlparse
class DbConnect:
"""Class to get access to DB"""
def __init__(self, conf):
self.sql_conn_url=urlparse.urlparse(conf.get('core', 'sql_alchemy_conn'))
self.connect()
def connect(self):
self.conn = MySQLdb.connect (host = self.sq... | [
"misha.kotliar@gmail.com"
] | misha.kotliar@gmail.com |
e5787ad9acf58585924c86ca9994a3c142f6c94b | 060ce17de7b5cdbd5f7064d1fceb4ded17a23649 | /fn_cisco_umbrella_inv/fn_cisco_umbrella_inv/components/umbrella_dns_rr_hist.py | e69d2201b06fc738b42f948cd0c24e135de5bb51 | [
"MIT"
] | permissive | ibmresilient/resilient-community-apps | 74bbd770062a22801cef585d4415c29cbb4d34e2 | 6878c78b94eeca407998a41ce8db2cc00f2b6758 | refs/heads/main | 2023-06-26T20:47:15.059297 | 2023-06-23T16:33:58 | 2023-06-23T16:33:58 | 101,410,006 | 81 | 107 | MIT | 2023-03-29T20:40:31 | 2017-08-25T14:07:33 | Python | UTF-8 | Python | false | false | 7,764 | py | # -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
# (c) Copyright IBM Corp. 2010, 2018. All Rights Reserved.
""" Resilient functions component to run an Umbrella investigate Query - DNS RR History for an IP Address or domain
against a Cisco Umbrella server """
# Set up:
# Destination: a Q... | [
"travis@example.org"
] | travis@example.org |
ac55f935824cc589ef7c983338bce064e6b98063 | c4d32f9e2b93546da52d7b2a694b6cabd439b390 | /code/0540_Single_Element_in_a_Sorted_Array.py | 133c3d4a71c5344f2ee9d926601c8e86c25d525e | [] | no_license | LuLu0616/LeetCode-Notes | a8be0298e4b70e27ffc4f24c3f86db9776ffb1a2 | cbe4bfeaff3e28c9006a7955a7e05badd5f6311f | refs/heads/master | 2020-04-30T14:13:45.703029 | 2019-03-28T08:20:05 | 2019-03-28T08:20:05 | 176,884,214 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 490 | py | if __name__ == "__main__":
nums = [3, 3, 7, 7, 10, 11, 11]
p = 0
q = len(nums) - 1
m = 0
while p < q:
m = p + int((q - p) / 2)
if nums[m] == nums[m-1]:
if (m - p) % 2 == 0:
q = m - 2
else:
p = m + 1
elif nums[m] == nums[... | [
"noreply@github.com"
] | LuLu0616.noreply@github.com |
cae2e7c61f3fc891c4c22b2035e652a02bcedaaa | 680dc4419a1f01d2f10faa373bfcf7b678f4ec30 | /Semana02/prog021.py | 47af2b60637561f8718c40fb978484d5f157f0b5 | [] | no_license | G1998P/SEII-GuilhermePeresSilva | db643e06b64214c6fba7fb5e32813e46b872d816 | a3dfc51cfb1dd2792c2f8e29c7f51ed1f345784c | refs/heads/main | 2023-08-24T08:41:33.780123 | 2021-10-07T00:49:47 | 2021-10-07T00:49:47 | 389,200,079 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# grafico
x = list(range(5))
y = list(range(0, 9, 2))
# plt.plot(x, y,label='2x',color='red',linewidth=2,marker='.',markersize=10,markeredgecolor='blue')
# modo curto
plt.figure(figsize=(5,3),dpi=300)
plt.plot(x, y,'b.:',label='2x')
x2 = np.aran... | [
"noreply@github.com"
] | G1998P.noreply@github.com |
898c7fdc35cdd2140eb84969221780ce35fd9f7a | b64926b053b9d58e4ad8caca65338429d2d90bdb | /test/test_fax.py | a3f437a0160db4770e4922a3e359cbc0f5646570 | [
"MIT"
] | permissive | vyshakhbabji/ringcentral-python | 569a88406cce00c86c3a1969d518ee5eac082569 | cecc28c432e79a4df8ae8e4f82aeef01379970b3 | refs/heads/master | 2021-01-22T10:14:12.303122 | 2017-02-07T05:58:29 | 2017-02-07T05:58:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,022 | py | from .test_base import BaseTestCase
import json
import os
class FaxTestCase(BaseTestCase):
def test_send_fax(self):
with open(os.path.join(os.path.dirname(__file__), 'test.png'), 'rb') as image_file:
files = [
('json', ('request.json', json.dumps({ 'to': [{ 'phoneNumber': self.r... | [
"tyler4long@gmail.com"
] | tyler4long@gmail.com |
1df2600d8c656c173d057730d0e60c60b14002b5 | 25b8fc45ef868e0adf743f184f4b4592b45e4896 | /app/decorators.py | 1a63b0508fc3a251cec9ed1505a694b5532bdde2 | [] | no_license | klimpie94/flask-social-blog-app | db909b75fb817935bbaa25a8704ca0ac290b6c19 | 03d4273b1428533a8d0f57248504fa6f5d901b74 | refs/heads/master | 2023-03-24T01:33:39.844366 | 2021-03-20T19:23:11 | 2021-03-20T19:23:11 | 328,805,632 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 638 | py | from functools import wraps
from flask import abort
from flask_login import current_user
from .models import Permission
# https://stackoverflow.com/questions/5929107/decorators-with-parameters
def permission_required(permission):
def decorator(f):
@wraps(f) #https://stackoverflow.com/questions/308999/what-... | [
"anis_arsenal@hotmail.com"
] | anis_arsenal@hotmail.com |
613b84d02fa522b2ef58e39899aff174cccde373 | 8695c635ce7d8dc15c6f36429e57705e44545a16 | /Bot/Bot/pipelines.py | a4852cafd0978d155d16db77ae0238930da08deb | [] | no_license | zhuyingqin/Jpider | 95d00413cbd66e32e6ac2dcd68c67263aa7f4c41 | 4c31147b6ff9b17455d4c906840d651c29f1a7b2 | refs/heads/master | 2021-05-10T12:14:33.944908 | 2018-01-23T10:34:23 | 2018-01-23T10:34:23 | 118,434,486 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 303 | py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
class ExPipeline(object):
def process_item(self, item, spider):
item.save()
return ite
| [
"1781484849@qq.com"
] | 1781484849@qq.com |
c61bf4d6adf3b35f23f36c4289ff8dbde9af81bb | a8d615cb0d6495cc0800d74d8adcae71e54c94ed | /bhand/cli.py | 0171f2f337879a6d44ea2e70857ccf4e921b2f7e | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0",
"LicenseRef-scancode-dco-1.1"
] | permissive | rerobots/brunel_hand_cli | 55fc04911c928fbe4d2e64fa1e3837f5664b8e42 | 1834d06fade2afeeab8a5ad4bbe2b1c1eb086a68 | refs/heads/main | 2023-02-08T08:59:08.093855 | 2023-01-30T01:37:27 | 2023-01-30T01:37:27 | 87,656,536 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,147 | py | #!/usr/bin/env python
# Copyright (C) 2017 rerobots, 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 ... | [
"scott@rerobots.net"
] | scott@rerobots.net |
c70ba4a760d383cbe9f83c83caa406e0a58dbc48 | cc15af2ccc401b2d1d8fcfd219295121c1cece5d | /ROAR/utilities_module/module.py | 1ca90b65b5f5f492aaf34919218b5ed8d633b876 | [
"Apache-2.0"
] | permissive | moonwonlee/ROAR | 755277c5f79df67a78896e2739764eac6b7e0e7e | 1e189d895ac34197b8c8fc3017970cb706feb3e6 | refs/heads/main | 2023-06-15T22:35:29.796573 | 2021-07-02T20:27:39 | 2021-07-02T20:27:39 | 359,383,030 | 1 | 0 | Apache-2.0 | 2021-07-02T20:27:40 | 2021-04-19T08:23:58 | Python | UTF-8 | Python | false | false | 1,297 | py | from abc import ABC, abstractmethod
import time
from pathlib import Path
class Module(ABC):
def __init__(self, threaded=False, update_interval: float = 0.5,
should_save: bool = False, name: str = "module", **kwargs):
self.threaded = threaded
self.update_interval = update_interval
... | [
"wuxiaohua1011@berkeley.edu"
] | wuxiaohua1011@berkeley.edu |
445cee4ced19d187b52c5337b3428623190cbb8e | d81f671303c20c8c076d9551e7ba03d55ac5e2b7 | /mayo/net/graph.py | 376b922fd3e6e76ad5831be0c91ad3802cd94fa7 | [] | no_license | randysuen/mayo | 591cce68c083ae59f6d809346448f279a905ef1a | a382c150eeab134470520d51c6fb9ccca91ccaff | refs/heads/master | 2020-03-22T08:38:34.465270 | 2018-06-13T15:17:13 | 2018-06-15T07:19:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,161 | py | import re
import copy
import pprint
import weakref
import itertools
import collections
import networkx as nx
from mayo.util import ensure_list, recursive_apply
def _replace_module_kwargs(params):
kwargs = params.get('kwargs', {})
replace_map = {
key: params.get(key, default_value)
for key, d... | [
"gxtfmx@gmail.com"
] | gxtfmx@gmail.com |
879fa828d2c4d7e15baf0248e85789f9420bdfab | 6434db6451e2782cdfbf24894de828d0c07bc0ff | /blog/migrations/0001_initial.py | e7689e180f67ca8e25be12d809867d736dcdebe6 | [
"MIT"
] | permissive | fullst4ckcode/blog-django3 | 06e19aa8693cc4198e71818a2dbf5767ec2dbb64 | bd9aba68a5bf24dee5067256ed5f21b27b0b4de4 | refs/heads/master | 2023-02-28T01:49:35.473395 | 2021-01-29T18:34:36 | 2021-01-29T18:34:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,304 | py | # Generated by Django 3.1.5 on 2021-01-28 12:34
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUT... | [
"freetechcode@yahoo.com"
] | freetechcode@yahoo.com |
4e168c90de4d94bce20aae2dc651e906c9ddab35 | 99cde1a485b87f1253cabc3ac131b63525a2990b | /users/views.py | 505857249b50839737e49d66b163c1d0eaf85c92 | [] | no_license | NamCheolKim/airbnb-clone | ee7efd01670bae56e99c943d8c5aad3cd40a780c | 80cbcaac314f0c0a3d32ebd98b6681a74eb28a8e | refs/heads/master | 2021-06-29T19:22:21.348900 | 2021-02-25T08:45:44 | 2021-02-25T08:45:44 | 220,784,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,599 | py | import os
import requests
from django.utils import translation
from django.http import HttpResponse
from django.contrib.auth.views import PasswordChangeView
from django.views.generic import FormView, DetailView, UpdateView
from django.urls import reverse_lazy
from django.shortcuts import redirect, reverse
from django.c... | [
"tube@tubeui-MacBook-Pro.local"
] | tube@tubeui-MacBook-Pro.local |
e24929005b477bee628302659a985e0d691ee09d | 0a85f78b84466893783a2b88799aa25675694345 | /chatbot/corpus/baobaowhisperdata.py | 4da25136d85b670a382397d6a0b606375bc4d932 | [
"Apache-2.0"
] | permissive | zxzx74147/DeepQA | 471c864af70a92e6c123a365be6c70c59fa0b181 | 71d1a4e0ac1d2897327bc654dd09df1e46137c94 | refs/heads/master | 2021-08-28T14:03:05.680423 | 2017-12-12T11:56:42 | 2017-12-12T11:56:42 | 107,098,315 | 0 | 0 | null | 2017-10-16T08:16:18 | 2017-10-16T08:16:18 | null | UTF-8 | Python | false | false | 3,307 | py | # Copyright 2015 Conchylicultor. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | [
"zxzx25952@gmail.com"
] | zxzx25952@gmail.com |
fad413cdf0ebf545f27260b7ed0593f679b3b9cf | e6bc1f55371786dad70313eb468a3ccf6000edaf | /Datasets/the-minion-game/Correct/076.py | fa39bfcd0f041cb2eb3e2c8fd566a8a06327f68b | [] | no_license | prateksha/Source-Code-Similarity-Measurement | 9da92e3b22c372ed6ea54d8b6ab2c5921e8c41c0 | fb371b837917794d260a219a1ca09c46a5b15962 | refs/heads/master | 2023-01-04T07:49:25.138827 | 2020-10-25T14:43:57 | 2020-10-25T14:43:57 | 285,744,963 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 342 | py | def minion_game(string):
vowel =['A','E','I','O','U']
S=0
K=0
for i in range(len(string)):
if string[i] in vowel:
K+= len(string)-i
else:
S+=len(string)-i
if S>K:
print("Stuart"+" "+ "%d" % S)
elif K>S:
print("Kevin"+" "+'%d' % K)
else:... | [
"pratekshau@gmail.com"
] | pratekshau@gmail.com |
93cb659cc937c48743eba02e0c00a723442a776e | 9854dbc28a1fcca6268d735c47280822ebe25a16 | /application/flask_sqlalchemy.py | bacdac43af118a77a3fe9254f7be2579f64d25af | [] | no_license | klfoulk16/recreate-flask-sqlalchemy-tutorial | d5d2c9e952c67cb32acc04803f21fc27c4978163 | d9891ab326991d89d5f5f5b9482045e619cfe436 | refs/heads/main | 2023-02-17T07:39:38.353269 | 2021-01-22T20:07:17 | 2021-01-22T20:07:17 | 331,976,542 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,712 | py | import sqlalchemy
from sqlalchemy.ext.declarative import declarative_base
import flask
class Flask_SQLAlchemy:
def __init__(self):
"""Create instance of class to be used when defining tables"""
# tell SQLAlchemy how you'll define tables and models
self.Base = declarative_base()
def in... | [
"klfoulk16@gmail.com"
] | klfoulk16@gmail.com |
b180a01aa11f5aeaab18cb3fba9d1d79c72784d0 | b9192b43b37f5347a95ae86dbd00c2867cc23a16 | /scripts/BestETS.py | c49161afa0f2256f8491c94b88548377c5dc19e0 | [] | no_license | alketcecaj12/PolisEye_Experimentation | 68b905984d2340c8b55cf62e7f84c24fca739b4c | ed1d9ff4111feff7f1282037e62722900caa9aa3 | refs/heads/master | 2023-08-25T02:37:26.069080 | 2021-09-27T12:27:23 | 2021-09-27T12:27:23 | 410,818,274 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,598 | py | from statsmodels.tsa.holtwinters import SimpleExpSmoothing
from random import random
import matplotlib.pyplot as plt
from statsmodels.tsa.seasonal import seasonal_decompose
from statsmodels.tsa.stattools import adfuller
import pandas as pd
import numpy as np
from pandas import datetime
from random import random
from pa... | [
"alket.cecaj@unimore.it"
] | alket.cecaj@unimore.it |
b3aa8d40a9d1110d654d7483b38f77c4184c5fe8 | 770e2091d4d571bd4bfeeefbd0755129ef79d2cf | /matplotlib/5.py | e6dc037d574d73aa6187c890e876aff42ff3390f | [] | no_license | youjia4321/data_analysis | 24d4897562b07fa9f7effb2f4f6add9b87fb5807 | 4f2e4a0389e0bbf67b654b9e9fe12088133cddbe | refs/heads/master | 2020-04-27T10:42:58.664049 | 2019-03-08T02:58:18 | 2019-03-08T02:58:18 | 174,266,384 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 523 | py | import numpy as np
import matplotlib.pyplot as plt
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)
# 数据的直方图
n, bins, patches = plt.hist(x, 50, density=1, facecolor='r', alpha=0.75)
# for i in patches:
# print(i)
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Histogram of IQ')
plt.text(60... | [
"noreply@github.com"
] | youjia4321.noreply@github.com |
2df5fd4f9660284d61d121fa8971197b1d211389 | 95e97eb3d18ce25239d57e2d9de95c61c5fbdbf3 | /Tutorials/venv/Inheritance_Chef_App.py | 2019db8e094159755509cf40534825dcf2ea1b00 | [] | no_license | jackG97/PythonUdemyCourse | f65bfbbf88cc6d32dc3125133f3633c6cc20661c | a2e5a635d316d87b658d7071d86c716057875ae0 | refs/heads/main | 2023-04-22T17:50:13.237745 | 2021-04-27T13:31:13 | 2021-04-27T13:31:13 | 351,476,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 213 | py | from Inheritance_Chef import Chef
from Inheritance_Chef_Chinese import ChineseChef
myChef = Chef()
myChef.make_chicken()
myChef.make_special_dish()
myChineseChef = ChineseChef()
myChineseChef.make_special_dish() | [
"jackgallaher36@gmail.com"
] | jackgallaher36@gmail.com |
0f5cb35930f5208d39ec2592d907071525142e1b | 08d163710a17497d81e2bc4b53c77b2c787f2baa | /src/dataset/gtsrb.py | a649dab3498c19c716ce3d6906fe22a5fc8ad9e1 | [
"MIT"
] | permissive | ngonthier/dti-sprites | 7a9b80601b26bd760635d371500e34b15f409932 | 7c41b8bf15916f2ac14d6c0de795cd32e4689672 | refs/heads/main | 2023-04-30T21:51:01.183767 | 2021-05-14T11:56:14 | 2021-05-14T11:56:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,846 | py | from abc import ABCMeta
from functools import lru_cache
from PIL import Image
import numpy as np
from torch.utils.data.dataset import Dataset as TorchDataset
from torchvision.transforms import Compose, Resize, ToTensor
from utils import coerce_to_path_and_check_exist, get_files_from_dir, use_seed
from utils.image imp... | [
"tom.monnier@hotmail.fr"
] | tom.monnier@hotmail.fr |
52813bfbe2857a1b8c207518f521af82c8c11fdd | 3324d9eaca3b25c27402c76b774164c98d9f10d0 | /InitCertificados.py | 6fcf000dd79490020568521a459cb727c4241b12 | [] | no_license | mavino4/AFP_scrap | 02d98cc91e7df12465e44420c4ba70f8193c7d3e | 12e8c0dfe2d2cab060524ada49abf4b44956e628 | refs/heads/main | 2023-07-09T20:37:09.510226 | 2021-08-14T15:24:07 | 2021-08-14T15:24:07 | 393,485,777 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,116 | py | from selenium import webdriver
import time
download_directory = "/media/F/sevima/CertificadosScrap"
# iNTRODUCCIÒN DE DATOS
PATERNO = "QUISPE" #input("Apellido Paterno: ")
MATERNO = "AQUISE" #input("Apellido Materno: ")
NOMBRES = "JHONATAN" ... | [
"marco.antonio.vino@gmail.com"
] | marco.antonio.vino@gmail.com |
7835d7fea00e4dcad46bf9117f2c76e5d0e341a4 | 65b4522c04c2be071c2d42095956fe950fe1cebe | /inversions/inversion11/best_model/predict/analysis/pred_disp_large_scale/plots/post_disp/gen_post_disp.py | 2d7cabac2102b3f35527307245505ab7abce8bca | [] | no_license | geodesy/viscojapan | ac0cd93f7a2134cd2651623b94879dcc21c0c46a | 03e70265b56eb5994e73bcb6066f0be338e42f27 | refs/heads/master | 2021-03-03T18:19:07.779601 | 2015-07-16T03:50:49 | 2015-07-16T03:50:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 593 | py | import numpy as np
import viscojapan as vj
res_file='/home/zy/workspace/viscojapan/inversions/inversion10/iter2/run7/outs/nrough_05_naslip_11.h5'
reader = vj.inv.ResultFileReader(res_file)
disp = reader.get_pred_disp()
post = disp.get_post_at_nth_epoch(-1)
sites = disp.get_sites
tp = np.loadtxt('stations_large_sc... | [
"zy31415@gmail.com"
] | zy31415@gmail.com |
41265b2b026bbfda5edb0931161ec922a2b5efbf | c45341942bae8f70c9ace28d0c2de8728ef452ff | /login.py | 1ec4b2646d05a053f2be81a5847be7101bbbf364 | [] | no_license | wsasocket/webvulndemo | 298d5bab08466b56b481eeb4dc2dcb66ab429268 | c0617573442557d6ee3555737cafda09e44832c3 | refs/heads/master | 2020-09-12T06:13:59.256140 | 2019-11-18T02:52:14 | 2019-11-18T02:52:14 | 222,337,614 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,574 | py | import base64
import hashlib
import json
import os
import sqlite3
import mysql.connector
from flask import Flask
from flask import send_file
from flask_restful import Api, Resource, reqparse
from edit import edit_info
from utils.sys_token import sys_token
app = Flask(__name__)
api = Api(app)
parser = reqparse.Reque... | [
"18911781163@163.com"
] | 18911781163@163.com |
7c0a3c20d0df1689796a36e329feeb27f6a7a664 | 8deb82d52eba270da6ed2a6d786b7b4f9342e148 | /Converter_1.py | 95fe13685771e640dd641cae669b0a6c731fb9a7 | [] | no_license | lowelab/scripts | 38281696601484c9891a3351adc85a253f524bf4 | 9d656faa8533f78e8ff8e0d9f3cea01c771c1a9d | refs/heads/master | 2016-09-03T07:31:57.153249 | 2015-09-28T05:12:02 | 2015-09-28T05:12:02 | 41,137,025 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,713 | py | #!/usr/bin/env python
Usage ="""
Converter.py - version 1.0
Convert STRUCTURE SNP input file (tab delimited txt file) into TREEMIX input file.
Save to new .txt file
Usage:
Converter.py *.txt 2(column containing population data, and immediately before snp data columns)
> *TreeMix.txt
"""
import sys
import csv
if ... | [
"josephine.gerlach@adelaide.edu.au"
] | josephine.gerlach@adelaide.edu.au |
2997cc78f67022bca812170c46f66d8313209acb | 0ce6b40e2a2ae8d3e1a016538f6b16431349340c | /app/refresh.py | 6cf5f6bf416f2610e10f2c178061730810179072 | [
"Apache-2.0"
] | permissive | ForomePlatform/anfisa | d5b2d121a3a504bfabfe451b1d96b33463807f73 | 95d32607c50bcec2119186c121a6e35904bcb069 | refs/heads/master | 2023-02-04T04:21:25.082041 | 2022-10-25T16:25:30 | 2022-10-25T16:25:30 | 143,028,025 | 9 | 36 | Apache-2.0 | 2023-01-31T19:55:07 | 2018-07-31T14:46:39 | Python | UTF-8 | Python | false | false | 3,313 | py | # Copyright (c) 2019. Partners HealthCare and other members of
# Forome Association
#
# Developed by Sergey Trifonov based on contributions by Joel Krier,
# Michael Bouzinier, Shamil Sunyaev and other members of Division of
# Genetics, Brigham and Women's Hospital
#
# Licensed under the Apache License, Version 2.... | [
"michael.bouzinier@kvitneset.com"
] | michael.bouzinier@kvitneset.com |
107ef4e3d0f741079d4b7ad0fa3f9389b8af268d | b873df189cca0ce29b662ac771d4bc2ded4a4640 | /rede-client/src/userede/mappers/commons/brand.py | 5e6c98cda19b4f6ec8e6d9ae9f502da30b55f9d5 | [] | no_license | marcioinfo/ApiClient | e0d3af1019da6a2afb4f73ec1505458cc9e312dc | 6cc7c13cd45ea5a1db98ab32e80be81ddac3e0b2 | refs/heads/master | 2020-09-13T08:34:28.677857 | 2019-11-19T14:23:11 | 2019-11-19T14:23:11 | 222,712,775 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | from enum import Enum, unique, auto
@unique
class Brand(Enum):
MASTERCARD = auto()
VISA = auto()
DINNES = auto()
CABAL = auto()
SICRED = auto()
SOROCRED = auto()
HIPERCARD = auto()
CUP = auto()
CALCARD = auto()
CONSTRUCARD = auto()
AVISTA = auto()
CREDSYSTEM = auto()
... | [
"marciocorrea@Mac-mini-de-Marcio.local"
] | marciocorrea@Mac-mini-de-Marcio.local |
9e9c3add151023e51852a1cebfd7c398e313e3df | 2311bd51e0edd32794746dc1aac9685a4d9c7ac7 | /trainer/task.py | 31c17f5deca91da36c8c01469af221909d49a30a | [] | no_license | robert-yaman/protein_folding_NN | 4a2dd7ee7cd595c06dae92f909b7bdf685f3239f | f675de9e0db2e66581325c05184fc8f5a02d0738 | refs/heads/master | 2021-05-06T05:12:35.189570 | 2018-01-05T00:01:52 | 2018-01-05T00:01:52 | 115,061,271 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,146 | py | import argparse
import tensorflow as tf
import os
import sys
import data
import validate
sys.path.insert(1, os.path.join(sys.path[0], '..'))
from model.model import ProteinFoldingModel
from model2.model2 import ProteinFoldingModel2
MODEL_MAPPING = {
1 : ProteinFoldingModel,
2 : ProteinFoldingModel2,
}
def main(ar... | [
"robert.e.yaman@gmail.com"
] | robert.e.yaman@gmail.com |
b4c43d591a05c307702228d8b14960d6a795df9b | f0898c857c8f3804ea290bdf295adb45f3e015a6 | /certidude/decorators.py | 638151c158316173a6061ae942dfacd6d416b219 | [
"MIT"
] | permissive | SnpAmine/certidude | 88aaac27d5b85c5ee9ab8ce32b0c1e36195a9886 | 8176ba73e45ecf06091ff641415d06b8cb28f848 | refs/heads/master | 2020-03-10T12:40:39.149001 | 2018-04-13T12:46:36 | 2018-04-13T12:46:36 | 129,383,299 | 0 | 0 | MIT | 2018-04-13T09:54:15 | 2018-04-13T09:54:15 | null | UTF-8 | Python | false | false | 2,872 | py | import click
import ipaddress
import json
import logging
import os
import types
from datetime import date, time, datetime, timedelta
from urllib.parse import urlparse
logger = logging.getLogger("api")
def csrf_protection(func):
"""
Protect resource from common CSRF attacks by checking user agent and referrer
... | [
"lauri.vosandi@gmail.com"
] | lauri.vosandi@gmail.com |
93492b704f6fe05dc224243661ed0c2a8066ed38 | 67e817ca139ca039bd9eee5b1b789e5510119e83 | /Tree/Kth Smallest Element in a BST.py | 78fa4551d211d33dd4023977b36259e7db2cd425 | [] | no_license | dstch/my_leetcode | 0dc41e7a2526c2d85b6b9b6602ac53f7a6ba9273 | 48a8c77e81cd49a75278551048028c492ec62994 | refs/heads/master | 2021-07-25T21:30:41.705258 | 2021-06-06T08:58:29 | 2021-06-06T08:58:29 | 164,360,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,634 | py | #!/usr/bin/env python
# encoding: utf-8
"""
@author: dstch
@license: (C) Copyright 2013-2019, Regulus Tech.
@contact: dstch@163.com
@file: Kth Smallest Element in a BST.py
@time: 2019/9/11 22:08
@desc: Given a binary search tree, write a function kthSmallest to find the kth smallest element in it.
Note:
You may assume... | [
"dstch@163.com"
] | dstch@163.com |
c2b146752ab71faa43ec01d5c2edf13ed78bf639 | 0039b45f11881c90d43700ffcf5cf85cbaa99f6d | /Multithreaded Server with client/webserver.py | 171ba3aa1ade87e54abda2c7822529702ea7f7c1 | [] | no_license | saitronkarthi/Networks | 0a1a83790db3bdc4a5390b6e3a440abc0e5cb19b | e6fcad52f771a0855679a4c5827b130057236a5f | refs/heads/master | 2020-12-31T00:19:07.016638 | 2016-02-20T23:30:22 | 2016-02-20T23:30:22 | 52,180,742 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,934 | py | #UTA Id: 1001267157
#Name: Karthikeyan Rajamani
##References
##1.Skeleton code provided for phyton
##2.https://docs.python.org/2/howto/sockets.html
##3.https://bedfordsarah.wordpress.com/2013/10/29/python-socket-programming-project-1-http-web-server/
##4.http://www.wellho.net/resources/ex.php4?item=y303/browser.py
##5.... | [
"karcons@gmail.com"
] | karcons@gmail.com |
f41df87feeebb3b68c2075f9224a426443e7fba8 | e8c12c596f120de59294e40b9d2ec3b734604082 | /library_requests.py | a299f5a6f6edd1ed2488f26669383a5db6c72a59 | [] | no_license | DaVaHa/ScriptsLibrary | 5eb64bb8f26d518b2232f3ed5115676c5047e66c | 1d4c471378ca996ada141935b678412bd3256337 | refs/heads/master | 2021-06-27T19:37:47.540737 | 2020-10-17T14:21:33 | 2020-10-17T14:21:33 | 167,837,704 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | '''
PYTHON LIBRARY : request
'''
import requests
## DOWNLOADING LINKS INTO FILES
r = requests.get(url)
with open("code3.zip", "wb") as code:
code.write(r.content)
| [
"danielvanhasselt@hotmail.com"
] | danielvanhasselt@hotmail.com |
31abb7b87b93f49726bc25433e42ba9fde6be85e | 0e3e05cfc5c2d4d604d5429bb63c28525cfd9c7b | /Sothern_Ocean_Conv_Str_1.py | 985d01e7164bf6faf89ac0c4cc9689d727dbf389 | [] | no_license | behzadcodes/pen | d98f887bf042ce8354a55046eb21ad93c3bab022 | 926ab7ee7ce44b656b175085fea5fde682863ea9 | refs/heads/main | 2023-02-22T16:27:08.329419 | 2021-01-27T17:56:31 | 2021-01-27T17:56:31 | 333,512,083 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 98,097 | py | ### IMPORTANT: The following path needs to be appended so that the neccessary codes can be read from that directory ###
import sys
sys.path.append('/data1/home/basadieh/behzadcodes/behzadlibrary')
#from Behzadlib import * ### This is loaded from '/data1/home/basadieh/behzadcodes/behzadlibrary'
#from CMIP5lib import * ... | [
"noreply@github.com"
] | behzadcodes.noreply@github.com |
bfb91a4fb7758b07111e62d04d046d0db9e129ff | 5274c8d9a88a9b2c352907779efb3972e2188030 | /workwithpython/favorite_genres_survey/favorite_genres_survey.py | df4c7e87e8bf8be2e403b0795933468c44a11409 | [] | no_license | khoshsoroorm/MyPractise | 90157b9c126d62be45c44f474ca78b1367adec36 | a23c0e5dfcca7bd8390d1020aa2676f397c8745d | refs/heads/master | 2021-05-17T13:34:06.720564 | 2020-05-01T13:32:38 | 2020-05-01T13:32:38 | 250,800,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 774 | py | import operator
def fave(n):
my = {}
my_list = []
for i in range(1, n + 1):
m = input()
m = m.lower().strip().split()
for i in range(1, len(m)):
my_list.append(m[i])
for item in my_list:
if item != my:
my[item] = my_list.count(item)
output_di... | [
"khoshsoroorm@gmail.com"
] | khoshsoroorm@gmail.com |
f17de87c264862b0ba6ef877b5c4ee0381723438 | d7d5152448acf53891dbf34ba056afa658d21128 | /twitter_clone_app/models.py | 0b923c2ff6ddff25d39429421f76376c6db857cb | [] | no_license | joshgendal/twitter-clone-example | 8cfee5bbafb15f7f58cee277e175a6357f31e372 | 97ee59e1e4566b2dbfe853d100c1305202224bf7 | refs/heads/master | 2023-05-05T19:46:35.227070 | 2021-05-27T01:46:26 | 2021-05-27T01:46:26 | 371,215,770 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,127 | py | from django.db import models
from django.db.models.fields.related import ForeignKey
import bcrypt, re
EMAIL_REGEX = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9._-]+\.[a-zA-Z]+$')
# Create your models here.
class UserManager(models.Manager):
def registration_val(self, post_data):
errors = {}
if not EMAIL_REGEX.... | [
"jgendal@codingdojo.com"
] | jgendal@codingdojo.com |
729d0bb1c126d3c229c8e3e17db982202c6a8746 | 6c57b1694817d1710335429c12c2d9774ff446e3 | /2017-08-26/BWM-Model_case09_11/generated_files/LEMS_c302_C2_BWM_Model_nrn.py | 3f97e63b84048d26ca68ce228f2cd5b992e9849f | [] | no_license | lungd/openworm-experiments | cd3875e8071c35eacb919c318344bac56d0fe379 | 065f481fbb445ef12b8ab2110f501686d26c213c | refs/heads/master | 2021-01-01T04:41:38.397726 | 2017-09-12T13:55:40 | 2017-09-12T13:55:40 | 97,220,679 | 1 | 1 | null | 2017-09-01T17:10:28 | 2017-07-14T10:07:56 | Python | UTF-8 | Python | false | false | 14,670 | py | '''
Neuron simulator export for:
Components:
Leak (Type: ionChannelPassive: conductance=1.0E-11 (SI conductance))
k_fast (Type: ionChannelHH: conductance=1.0E-11 (SI conductance))
k_slow (Type: ionChannelHH: conductance=1.0E-11 (SI conductance))
ca_boyle (Type: ionChannelHH: conductance=1.0E-11 (SI... | [
"lungdm@gmail.com"
] | lungdm@gmail.com |
9e4dd4e329860dccce6347da4fb21fd39335ac5b | 1802f464e3d51ffbf9bc66a3b252552fd886421c | /rem.py | cb457863b965949c0ae7f0547ccf52cad669fc30 | [] | no_license | anuashuanu/kwantics | 889b4a7d3078dfad78f0dedffe8cb4a451ee403d | fe0814738dc774e3179c22f7db0a7b063fe001c4 | refs/heads/master | 2020-03-07T08:57:55.510222 | 2018-05-02T06:54:09 | 2018-05-02T06:54:09 | 126,692,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,589 | py | # -*- coding: utf-8 -*-
import re
def Num_to_word(Number):
def Decimal_Word(Number):
Word = ["शून्य", "एक", "दो", "तीन", "चार", "पाँच", "छह", "सात", "आठ", "नौ"]
print('Number is decimal')
Number = Number - int(Number)
Number = '%.3f' % Number
Number = str(Number).split('.')[1... | [
"anuashuanu@gmail.com"
] | anuashuanu@gmail.com |
8f87644aa89197f8678e4f705b93a992f85f6c0b | b7e0a7b0f2817f624309e4715f2b5fd4f9ed4df7 | /mlcommons_box/mlcommons_box/common/mlbox_metadata.py | e6b9e35c7a4895e85f77a9be78c423bd41481412 | [
"Apache-2.0"
] | permissive | vibhatha/mlbox | 50936f5dbb98226a35b134e0e72b3a4b05bda4f3 | f76aa0043175988109d020be42dad5f32003190f | refs/heads/master | 2022-12-29T18:29:12.250664 | 2020-10-16T16:49:29 | 2020-10-16T16:49:29 | 301,155,105 | 3 | 0 | Apache-2.0 | 2020-10-04T14:56:52 | 2020-10-04T14:56:52 | null | UTF-8 | Python | false | false | 2,638 | py | import os
from mlspeclib import MLObject
from typing import (Any, Optional, Tuple)
class MLBoxInvoke(object):
def __init__(self, path: str):
path = os.path.abspath(path)
metadata, err = MLObject.create_object_from_file(path)
if err:
raise RuntimeError(err)
self.task_na... | [
"smodeel@redhat.com"
] | smodeel@redhat.com |
7a9d103b8cc5ed62a72dcd0c0dedd9df02fa0407 | c80997614ac490750e7ca3225e2a63df480135db | /Syllabus.py | 11443a68d8dff89d6904f6c2f6f977f71f411904 | [
"MIT"
] | permissive | anderson-github-classroom/syllabus-assignment-kdyson811 | 06c66acee5059ebb03f44950c296051771ea2d6c | 8cc72cff11b01a1e3ded9e9c8ee754b2a004a139 | refs/heads/master | 2022-04-19T11:06:40.112083 | 2020-04-13T04:43:43 | 2020-04-13T04:43:43 | 255,201,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,376 | py | # ---
# jupyter:
# jupytext:
# formats: ipynb,md,py
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.4.2
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Name(s)
# **KIANA DYSON*... | [
"kdyson@calpoly.edu"
] | kdyson@calpoly.edu |
690e07bd3fbf3691b4151d2e583eed069405d2c5 | 52363f899941fbe697f9a2b2657b5876ca2d3c89 | /selfteachweb/asgi.py | d7437436252877f6d9e600d73a87c06d95a46dbd | [] | no_license | archerpmorgan/selfteachweb_django | 3b765f9c0c53ab071ba4a8b31d9727aee98342da | 551b34ce04dfdbb817f5dbfd8594eb2d5a73819a | refs/heads/master | 2022-11-23T09:51:09.881105 | 2020-07-21T03:09:55 | 2020-07-21T03:09:55 | 281,274,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | """
ASGI config for selfteachweb project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_... | [
"armorgan@microsoft.com"
] | armorgan@microsoft.com |
b3a1878da5320ce739ade189bb7a71ab6062c734 | 2531541710958051faa06c6568330011035bb0ff | /quiz/views.py | d8d96ff23a143bb7a455b65e99ad3f18574da8ed | [] | no_license | Sebmins/mysite | 4a431eecf637c8d2e219a63cb674e7e746a15fd1 | 0bc5d7914b1d0cad05ce2244ace91bf8351d54df | refs/heads/main | 2023-01-13T18:50:08.033435 | 2020-11-19T10:18:11 | 2020-11-19T10:18:11 | 308,591,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,180 | py | from django.db import transaction
from django.shortcuts import get_object_or_404, render
from django.template.response import TemplateResponse
from django.views.generic import ListView, DetailView, CreateView, DeleteView, FormView, UpdateView
from .forms import VotingForm, CreateFormSet, EditFormSet
from .models import... | [
"sebastian.waring@vectare.co.uk"
] | sebastian.waring@vectare.co.uk |
8564e1451a3626ffeba51d20ab25d780f7de3db6 | f8e1c1cebdd48d02506978e483fdf63560015adb | /venv/lib/python3.6/site-packages/rsa/_version200.py | cc47b1fd3b2061fd344c72d5185d0089c9f4235c | [] | no_license | minh-hpham/electron | a1a7452808fa2c01ddd9d1ccfeb62371eddf9059 | b5e4ea96368c44fb09e2b013fc3acfedaccefb13 | refs/heads/master | 2020-03-14T00:52:30.513099 | 2018-05-03T04:40:29 | 2018-05-03T04:40:29 | 131,365,811 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,082 | py | # -*- coding: utf-8 -*-
#
# Copyright 2011 Sybren A. Stüvel <sybren@stuvel.eu>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Un... | [
"hongpham@Hongnhungs-MacBook-Air.local"
] | hongpham@Hongnhungs-MacBook-Air.local |
d4d10316a2b2fa4fa33e68118bff5c61d1af5d8e | 08411ea509578738545949824f7f0d8d543d284d | /0x01-python-if_else_loops_functions/100-print_tebahpla.py | 1cbfb06a029722a35a8e45c09f1e2d15176944ff | [] | no_license | s-macias/holbertonschool-higher_level_programming | 13c8a21db12529b756f223c864e838349ccef3be | f717deb42022db2e2fd4278d153498ffefab710b | refs/heads/master | 2023-01-07T20:27:25.858898 | 2020-11-06T14:52:28 | 2020-11-06T14:52:28 | 259,426,878 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 222 | py | #!/usr/bin/python3
if ord(c) >= 97 and ord(c) <= 122 and (ord(c) % 2) != 0:
print("{:c}".format(ord(c) - 32), end="")
elif ord(c) >= 97 and ord(c) <= 122 and (ord(c) % 2) == 0:
print("{:c}".format(ord(c), end=""))
| [
"1552@holbertonschool.com"
] | 1552@holbertonschool.com |
0dab0e7d26d72407b7a6020837da1ab6a9b00993 | 2796711aaa8482e5b857a014780b0716b7e09920 | /testQt4Table.py | 6fc0967fca8e5ac6f9dc70223cbf10409089b3c2 | [] | no_license | zhaokh/jdpachong | 17f09d1d9c3bccf73fdf9bed24e23abfa7fbd4b0 | 1fc49d87f18e10dc5ba7543e12b5b2528a845606 | refs/heads/master | 2020-04-08T16:11:39.553310 | 2018-12-05T08:41:51 | 2018-12-05T08:41:51 | 159,508,443 | 0 | 0 | null | 2018-12-02T16:14:39 | 2018-11-28T13:42:55 | Python | UTF-8 | Python | false | false | 2,155 | py | from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import sys
import time
class MyTable(QTableWidget):
def __init__(self, parent=None):
super(MyTable, self).__init__(parent)
self.setWindowTitle("各个市场比特币实时行情") # 设置表格名称
self.setWindowIcon(QIcon("ok.png")) # ... | [
"wwwzhaokh@126.com"
] | wwwzhaokh@126.com |
876e4421030016d98f53be1fa21f1316f40c564a | 97566db0ff6e36a4b4dfa24796ed2d21dc6c1fd6 | /property/migrations/0008_auto_20190815_0900.py | db0bfcad36f50f3be380a4ce3594142ec970f5ab | [] | no_license | olegush/real_estate_agency | 94936560729d17dd788a0def2719821bbee36ead | 78852985442819d48bf8fa3c84f97a077321d6a0 | refs/heads/master | 2020-07-04T05:59:56.809042 | 2019-08-15T08:51:35 | 2019-08-15T08:51:35 | 202,179,283 | 0 | 0 | null | 2019-08-13T16:02:54 | 2019-08-13T16:02:54 | null | UTF-8 | Python | false | false | 826 | py | # Generated by Django 2.2.4 on 2019-08-15 06:00
from django.db import migrations
import phonenumbers
COUNTRY_CODE = 'RU'
COUNTRY_PHONE_CODE = 7
def normalize_phonenumber(apps, schema_editor):
Flat = apps.get_model('property', 'Flat')
for flat in Flat.objects.all():
phone_number = phonenumbers.parse... | [
"oleg107117@gmail.com"
] | oleg107117@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.