blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 3 281 | content_id stringlengths 40 40 | detected_licenses listlengths 0 57 | license_type stringclasses 2
values | repo_name stringlengths 6 116 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringclasses 313
values | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 18.2k 668M ⌀ | star_events_count int64 0 102k | fork_events_count int64 0 38.2k | gha_license_id stringclasses 17
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 107
values | src_encoding stringclasses 20
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 4 6.02M | extension stringclasses 78
values | content stringlengths 2 6.02M | authors listlengths 1 1 | author stringlengths 0 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
86c7b1f84da51a57e214c4e02f8aaefa5d3df4d4 | 0115b565d3170296429d3608d87f69c7787d00d4 | /app/rest_api.py | 9b86d36a643a03f41482f211f65e61afbe74565f | [] | no_license | Tompyt/Talent-Playground | 44fe590f7108b6e0b5ed397104ad574f4390cbbe | 2d50c3a70cebd31996db45f4cb6aa76934a36609 | refs/heads/master | 2021-06-27T04:09:40.541655 | 2020-02-21T11:32:10 | 2020-02-21T11:32:10 | 226,832,003 | 0 | 0 | null | 2021-03-25T23:24:03 | 2019-12-09T09:19:30 | Python | UTF-8 | Python | false | false | 5,328 | py | import sys
from flask import Flask, request, Response, jsonify
import airplay
import yaml
from jsonschema import validate, ValidationError
import os
from logging.config import dictConfig
dictConfig({
'version': 1,
'formatters': {'default': {
'format': '[%(asctime)s] %(levelname)s in %(module... | [
"tgiammusso87@gmail.com"
] | tgiammusso87@gmail.com |
3ab187b444848f3432ee2fe85296aa11c48ef180 | 7cdfbe80ac56a042b9b99c1cb17766683da439b4 | /paper2/setup_files/old_setup/results.py | e65818b069a43060086e85eafae81b63aa9666d4 | [] | no_license | bacook17/pixcmd | 1e918cc6b147abe1885f9533836005b9f2b30012 | fac20ced14492fd32448d2722c377d88145f90a1 | refs/heads/master | 2021-01-18T11:54:13.625834 | 2019-07-30T15:13:12 | 2019-07-30T15:13:12 | 67,228,636 | 0 | 0 | null | 2016-09-02T14:18:59 | 2016-09-02T14:18:58 | null | UTF-8 | Python | false | false | 6,480 | py | __all__ = ['models', 'results', 'pcmds', 'data']
try:
import pcmdpy_gpu as ppy
except:
import pcmdpy as ppy
import numpy as np
from os.path import expanduser
models = {}
run_names = {}
results = {}
pcmds = {}
data = {}
results_dir = expanduser('~/pCMDs/pixcmd/paper2/results/')
data_dir = expanduser('~/pCMDs/p... | [
"bcook@cfa.harvard.edu"
] | bcook@cfa.harvard.edu |
214b351155bd5bbd835658ddee5d7b0cf7b101c2 | e1fa4f0e678bcc7a71afd23fd1bd693a4f503765 | /ss/ss_coroutine.py | b0e5c58010598a07ff04339fa96dc5854805145a | [] | no_license | smallstrong0/spider | b20460b33aeee5989870acd95cc1addd6996c1ed | cb3807978ff9599fbf669fe4068040f4252f6432 | refs/heads/master | 2020-03-31T07:59:43.046207 | 2019-01-03T15:47:06 | 2019-01-03T15:47:06 | 152,041,262 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 522 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/10/18 22:07
# @Author : SmallStrong
# @Des :
# @File : ss_coroutine.py
# @Software: PyCharm
import sys
import os
# 被逼无奈
sys.path.append(os.getcwd().replace('/ss', ''))
from spider_core import go
from func import exe_time
from gevent import monkey... | [
"393019766@qq.com"
] | 393019766@qq.com |
1eb1a20cca4e64744c3c860ba9ffc78209de8c23 | f07a42f652f46106dee4749277d41c302e2b7406 | /Data Set/bug-fixing-4/3339d802402fd2f2ed5e954434c637bf7a68124d-<_make_validation_split>-bug.py | 1827f4775913b4407f7cdf26bba80b06443aca84 | [] | no_license | wsgan001/PyFPattern | e0fe06341cc5d51b3ad0fe29b84098d140ed54d1 | cc347e32745f99c0cd95e79a18ddacc4574d7faa | refs/heads/main | 2023-08-25T23:48:26.112133 | 2021-10-23T14:11:22 | 2021-10-23T14:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,278 | py | def _make_validation_split(self, y):
'Split the dataset between training set and validation set.\n\n Parameters\n ----------\n y : array, shape (n_samples, )\n Target values.\n\n Returns\n -------\n validation_mask : array, shape (n_samples, )\n Equal ... | [
"dg1732004@smail.nju.edu.cn"
] | dg1732004@smail.nju.edu.cn |
1fc1f45b446d4c3afe5b69bf2f9515f4c46607ff | 3e381dc0a265afd955e23c85dce1e79e2b1c5549 | /hs-S1/icice_ucgenler.py | 77342ff2d6194916bac0664099c50bf72246660a | [] | no_license | serkancam/byfp2-2020-2021 | 3addeb92a3ff5616cd6dbd3ae7b2673e1a1a1a5e | c67206bf5506239d967c3b1ba75f9e08fdbad162 | refs/heads/master | 2023-05-05T04:36:21.525621 | 2021-05-29T11:56:27 | 2021-05-29T11:56:27 | 322,643,962 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | import turtle as t
t.Screen().setup(600, 600)
# https://studio.code.org/s/course4/stage/10/puzzle/2
for adim in range(50, 101, 10): # 50 60 70 80 90 100
for i in range(3): # 0 1 2
t.forward(adim)
t.left(120)
t.done()
| [
"sekocam@gmail.com"
] | sekocam@gmail.com |
a3411e1ceb6ec195c179f41219c2ee0009ff2aee | a851573ec818149d03602bb17b1b97235b810a06 | /apps/network1/views.py | 4660b228bf38e659146ac63097baf2a2b9f8438a | [] | no_license | kswelch53/mypython_projects2 | 42afc71714ff7e10e1d8d4e6a5965ff58380e9bd | 97d9faa5ea326b86dd7f48be1a822b3a58f3189c | refs/heads/master | 2021-04-06T07:22:04.982315 | 2018-03-30T02:35:20 | 2018-03-30T02:35:20 | 125,312,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,143 | py | from django.shortcuts import render, HttpResponse, redirect
# links model to view functions
from .models import User
# allows flash messages to html
from django.contrib import messages
# Note: Registration and login validations are done in models.py
# displays a form on index.html for users to enter login or ... | [
"kswelch53@gmail.com"
] | kswelch53@gmail.com |
3dacd2c1d4895ff72777644d01e0ee06cb79c4b4 | 5941992ab7b80952a3b41ac5e9a9f9e181fc1b51 | /aliyun-python-sdk-ros/aliyunsdkros/request/v20150901/DescribeEventsRequest.py | 93b065bb641322c5ae2c589a6a27aed20c64eab6 | [
"Apache-2.0"
] | permissive | liuguoshun/aliyun-openapi-python-sdk | d98f61c98d8703bf350383a452afc17407cc5dd6 | 4101f622558765c6d3113bc0c32b1e99499f789a | refs/heads/master | 2020-03-28T11:38:37.122943 | 2016-08-31T03:04:34 | 2016-08-31T03:04:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,224 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"hi.yan.li@alibaba-inc.com"
] | hi.yan.li@alibaba-inc.com |
17d332d5a76d98c92a4c807281681105f0eb08ed | 20da34d63e89635281fd2ac353f6c15914cbc6c0 | /tutorial/quickstart/tests/test_tasks.py | d9e22f8fec2e5514acd942fb3d13b2cbef92854e | [] | no_license | igorvitko/hl_DRF | 3e6a7f7c6fe4b74df73290124e7c59c920e8d198 | 4c58ba4096eb9123f680dd62a8950a34ab87635e | refs/heads/master | 2023-08-17T22:47:13.469644 | 2021-10-13T19:18:56 | 2021-10-13T19:18:56 | 396,726,681 | 0 | 0 | null | 2021-10-02T06:44:13 | 2021-08-16T09:48:06 | Python | UTF-8 | Python | false | false | 740 | py | from rest_framework.test import APIClient, APITestCase
from tutorial.quickstart.tasks import *
class TaskTest(APITestCase):
""" test module for celery tasks"""
def setUp(self):
self.test_user = MyUser.objects.create_user(username='ihor', password='pass1234')
self.test_user = MyUser.objects.c... | [
"igor.vitko.74@gmail.com"
] | igor.vitko.74@gmail.com |
51c1b672a84aacc65809899717845410fcc7a004 | c2155845efeb0085160bc0494399ce9250b7b3e0 | /tasks.py | 2aa4c340cb6125853b995ba37adaf7d3030d3be8 | [] | no_license | aruchames/codeprojects-photo-collage | ddc3e03f5123f4d31a803157e71adf8c251603c5 | b01abb9d6a85d982d9e59fda67603ab40d68f919 | refs/heads/master | 2023-02-01T04:45:21.975511 | 2020-12-13T20:14:22 | 2020-12-13T20:14:22 | 321,151,596 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,504 | py | from celery import Celery
from PIL import Image
import uuid
app = Celery('tasks', backend='rpc://', broker='pyamqp://')
def findDimensions(img_ids, orientation):
images, staticDimension = [], 0
staticDimensionIndex = 0 if orientation == "Vertical" else 1
for id in img_ids:
image = Image.open(f"p... | [
"aruchames17@gmail.com"
] | aruchames17@gmail.com |
0f681b24574bb63ce377e1191448ddd879adf9f5 | a1a42b2165f8cb899bff02f10d8b081b372ce9d3 | /mshub-gc/tools/mshub-gc/proteosafe.py | e07803964ed3cb3f1c66b859fd0c5d1233211319 | [
"Apache-2.0"
] | permissive | CCMS-UCSD/GNPS_Workflows | 47ca90ba177b3ddc1a71877a3ee92473e0fe392b | 8c6772e244c6f3e5ea7cd5eae873b6faa48b7313 | refs/heads/master | 2023-08-31T13:38:51.911232 | 2023-08-24T06:06:37 | 2023-08-24T06:06:37 | 57,243,138 | 41 | 45 | NOASSERTION | 2023-06-13T16:54:49 | 2016-04-27T19:52:07 | HTML | UTF-8 | Python | false | false | 72 | py | ../../../CCMS_ProteoSAFe_pythonAPI/ccmsproteosafepythonapi/proteosafe.py | [
"mwang87@gmail.com"
] | mwang87@gmail.com |
9f52f653a93cd4087e7542d49ffc7bedf4a10ac7 | d554b1aa8b70fddf81da8988b4aaa43788fede88 | /5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4066/codes/1846_1273.py | b84605ab2c0be8357722a17f2744c6e7aaf7d32b | [] | no_license | JosephLevinthal/Research-projects | a3bc3ca3b09faad16f5cce5949a2279cf14742ba | 60d5fd6eb864a5181f4321e7a992812f3c2139f9 | refs/heads/master | 2022-07-31T06:43:02.686109 | 2020-05-23T00:24:26 | 2020-05-23T00:24:26 | 266,199,309 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 536 | py | from numpy import *
from numpy.linalg import *
# Nosso sistema aqui tem
matriz_dos_coeficientes = array([[1,-1,0,0],
[0, 1, -1, 0],
[0, 0, 1, 0],
[1, 0, 0, 1]])
# Resolução do sistema AX = B
# onde A = Matriz dos coeficientes, X = Vetor do Fluxo e B = Matriz das incognitas
matriz_da... | [
"jvlo@icomp.ufam.edu.br"
] | jvlo@icomp.ufam.edu.br |
32fa655343fb4bf18c4b7e3ececf810cb131a7f2 | 55edb631909bfff428e658bad034799ceb5e25b6 | /Maitreya/models/origin_url.py | ccc37e04d61b37dab1bf78d9fdb2ae1de073bd7c | [] | no_license | elemewanggao/Maitreya | 2a1782619acdc889bfc79e3f5cddc3ba900288d1 | fb28af52e976e82bc7db660b3adce7d3895e6c2d | refs/heads/master | 2021-06-24T01:03:28.634436 | 2017-09-09T06:39:10 | 2017-09-09T06:39:10 | 100,272,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 914 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""爬取URL"""
from datetime import datetime
from . import Base, BaseModel
from sqlalchemy import (
Column, BigInteger, DateTime, String
)
class TbOriginUrl(Base, BaseModel):
"""网站下爬取的入口URL及爬取的策略."""
__tablename__ = 'tb_origin_url'
_db_name = 'matreya'
id... | [
"wanggao@wanggaodeMacBook-Pro.local"
] | wanggao@wanggaodeMacBook-Pro.local |
d36edf5a45a34b2095e57e33b7478d6aae3ba88c | 10b597b409ed5a0fb02c4e3439a547435f122ef4 | /daily.py | 782dee9c72dd5c53af42ac983c2aaec016b29398 | [] | no_license | considine/bengalbrackets | d94930131dd88fe50a9912e6f9ef1c276d691b3f | 83cd4503576f2208e7aea6ac7e1e18f295b9eca2 | refs/heads/master | 2021-01-10T13:13:34.671112 | 2016-02-13T10:31:25 | 2016-02-13T10:31:25 | 49,670,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 720 | py | # Python daily 8: string length counting
import re
def string_word_count(s):
s.splitlines
lst = s.split(" ")
stringcount = len(lst)+1
return stringcount
# the following idiom runs a test of the method, but only if the
# python script is run. If it is imported, the code below will not
# ... | [
"johnpconsidine@Johns-MacBook-Pro-2.local"
] | johnpconsidine@Johns-MacBook-Pro-2.local |
d8fadea0f97b759ec5a8eb75c034fb3b9505259d | e46a95f42e61c71968c60400f11924b4ad22bf59 | /0x09-Unittests_and_integration_tests/test_utils.py | c82ada87f519caa128197f16d307056ad525f535 | [] | no_license | mahdibz97/holbertonschool-web_back_end | 669b68c7ba6be937757a88999c7acc6afd6b58ca | 017a250f477599aee48f77e9d215c74b4bb62a14 | refs/heads/master | 2023-06-04T15:25:14.752977 | 2021-06-15T23:39:43 | 2021-06-15T23:39:43 | 348,126,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,351 | py | #!/usr/bin/env python3
""" unittesting Module """
from typing import Mapping, Sequence
import unittest
from unittest.case import TestCase
from unittest.mock import patch
from parameterized import parameterized
from utils import access_nested_map, get_json, memoize
class TestAccessNestedMap(unittest.TestCase):
"""... | [
"ben.zouitina.mahdi97@gmail.com"
] | ben.zouitina.mahdi97@gmail.com |
6fb9fd810435f8bce7e92236865f70e7617fccb3 | f8a032a52aa456054eb0f0a5160bc40eeaa53452 | /game_stats.py | 664fcf10f5bb771442a73db3803b3bbf2bb1236a | [] | no_license | shulginmusic/alieninvasion | 4787a2089c0ba9fd8eb6c33eb06b2e20444345f6 | 7150d9713a3faa8977a2c3cbbd5036c2e862d4d4 | refs/heads/master | 2023-07-03T21:31:46.895480 | 2021-08-13T18:03:31 | 2021-08-13T18:03:31 | 310,927,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 479 | py | class GameStats():
def __init__(self, ai_settings):
self.ai_settings = ai_settings
self.game_active = False
self.hi_path = 'high_score.txt'
with open(self.hi_path) as file_object:
self.high_score = file_object.read()
if self.high_score:
self.high_score = int(self.high_score)
self.reset_stats()
de... | [
"efim@shulginmusic.com"
] | efim@shulginmusic.com |
94c9bef1bbadbf8bc0f3d474b0da8a4cae3390fb | b547245233aaa8e10b1854ea7c8235141248257f | /Euler32.py | fbafce89199ae1b5676539e6e35a1af2b7c9ab6c | [] | no_license | BDSchoeler/Euler | 3d07bdb29d370a9d390a84f0d274e5210622d0dd | 564a1526a05860a650342edec906dc89741860fb | refs/heads/master | 2021-01-13T12:55:23.291217 | 2016-02-12T06:41:33 | 2016-02-12T06:41:33 | 43,186,172 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 613 | py | def ifPandigital(num1,num2,num3):
s=[str(num1),str(num2),str(num3)]
if(len(s[0])+len(s[1])+len(s[2])==9):
a=[]
for j in range(len(s)):
for i in range(len(s[j])):
if s[j][i] in a or s[j][i]=='0':
return False
else:
... | [
"darktarro100@gmail.com"
] | darktarro100@gmail.com |
db57ad8949a6516bcece85b6e2bac0431f7e27ea | 2424c0b7658ca9d26d18b889391d34226d8529d8 | /tests/test_trees.py | 35671abd7dfc83a751be65e23345b75824de0d30 | [
"MIT"
] | permissive | exversion/layer | 4ace0f582b48cb6e93e101fbdb32d6b885331397 | 8a67679e0cedbac9f457390c91bcd15e3d6ee956 | refs/heads/master | 2021-03-12T22:36:31.549509 | 2017-01-14T05:11:36 | 2017-01-14T05:11:36 | 16,076,956 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,461 | py | from flask import Flask
from flask.ext.testing import TestCase
from src import app as layer
from src import helper
from config import config
import json
class TestTree(TestCase):
def create_app(self):
app = layer.create_app()
app.config['TESTING'] = True
return app
def test_valid_tree_name_good(self):
vali... | [
"exversion-dev@exversiondev-VirtualBox.(none)"
] | exversion-dev@exversiondev-VirtualBox.(none) |
e372ecde50ffe894a9ac6d0b20f743cc0b640425 | b125f9a750a519c9c7a5ed66adb8530e0237367b | /str/StrDemo11.py | 5931339c369e670d1e64b0c073cf7184825c807b | [] | no_license | isisisisisitch/geekPython | 4e49fe19b4cca9891056f33464518272265e3dab | 635e246dca7a221d87a3b3c5b07d1e177527498f | refs/heads/master | 2021-05-27T01:29:09.755225 | 2021-01-18T23:18:46 | 2021-01-18T23:18:46 | 254,200,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | #the taste is not xxx poor!
#the taste is good!
#the taste is poor!
#the taste is poor!
str="the taste is xxx poor"
snot = str.find("not")
print(snot)
spoor = str.find("poor")
if spoor> snot and snot>0:
str = str.replace(str[snot:(spoor+4)],"good")
print(str)
else:
print(str) | [
"dallucus@gmail.com"
] | dallucus@gmail.com |
a8f705ff4d757e712d27a813079a6e0403a5da1a | d6215e15d2a6adaf046b40012e6b07019b055e07 | /ScoringLayer.py | 2c299e11ad288ed59c2928fc906cd548403ccd8e | [
"MIT"
] | permissive | WinVector/YConditionalRegularizedModel | 4c53c801eb010e640898da7e6532582b809350d8 | c4d488871d05d369dcc7e1b7faf110567742d808 | refs/heads/master | 2021-05-20T08:54:15.635276 | 2020-04-02T20:20:24 | 2020-04-02T20:20:24 | 252,209,212 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,194 | py | # noinspection PyPep8Naming
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer
# check all but first shape index
def safe_mult(a, b):
if len(a.shape) < 2:
raise ValueError("Expected shape to be at least rank 2")
if str(a.shape[0]) != "?":
raise ValueError("Exp... | [
"jmount@win-vector.com"
] | jmount@win-vector.com |
fc8bbf5dbf451300bd37343f4ec06ad1ac99d9d1 | 55f19a757c359153c33e9e6be8639399fafdae6e | /reports/deploy/run.py | 80a56b666697ea16955e2cf6ca714b4d2b76dede | [] | no_license | yinlenaxu/DLMP | 249a8bb44eaa791f2f88123c50ab7ff3739fbbd7 | 3b377945ac3348d1d7bcdf17e6f891e86f420047 | refs/heads/main | 2023-08-25T18:08:34.235508 | 2021-10-31T18:08:01 | 2021-10-31T18:08:01 | 421,795,710 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 90 | py | from main import app
if __name__ == '__main__':
app.run(host='0.0.0.0', debug = True) | [
"48138799+marinarosell@users.noreply.github.com"
] | 48138799+marinarosell@users.noreply.github.com |
9b2093bd4fc107bf9179159d4e5d9f25c0cc8185 | 4fc603766bfcaa0a22b6bb5b726283f6a0a0adc2 | /dataset/BraTSDataSet.py | 63333df045518f45a788e5edfebfef070f859282 | [] | no_license | hse801/ConResNet | aa62bba656323bcfa23504302ac7e02387911967 | f77d0ce0aa074d9e038791cb92f8f302eddae9a1 | refs/heads/master | 2023-08-02T10:50:02.642428 | 2021-10-03T00:31:32 | 2021-10-03T00:31:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,759 | py | import os.path as osp
import numpy as np
import random
from torch.utils import data
import nibabel as nib
from skimage.transform import resize
class BraTSDataSet(data.Dataset):
def __init__(self, root, list_path, max_iters=None, crop_size=(128, 160, 200), scale=True, mirror=True, ignore_label=255):
self.r... | [
"sarah0.hwang@gmail.com"
] | sarah0.hwang@gmail.com |
07555dbf5c93163231fe474c5324d9e4bae87ca4 | b56e773e752d95e31f3d275f4664643dfaf9dccd | /app/forms.py | 4fd81f3d179f7e98dbd68c1b32482aad4bec69d8 | [] | no_license | vaszig/regex-rules | eeba998610f8853239b94c3ca1faa786a7b2e273 | 556999bfda8aeff031f270f16e1fe5b67a02a83a | refs/heads/master | 2023-06-15T08:28:50.991966 | 2021-07-08T10:16:22 | 2021-07-08T10:16:22 | 380,933,056 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 982 | py | import re
from django import forms
from django.core.exceptions import ValidationError
TYPE_OF_SEARCH_CHOICES = [
('contains', 'Default(contains the pattern)'),
('match_in', 'In(includes a whole word)'),
('match_out', 'Out(excludes a whole word)'),
]
class ResultsForm(forms.Form):
""... | [
"zigras00@gmail.com"
] | zigras00@gmail.com |
0eda6db0538a42c5135494944c083d5e55b168d7 | ec8d7c3176187359c7618bd591724ea93a9b0772 | /python/learning/google/python-exercises/basic/wordcount.py | 71d96b23946a62fdb7ef28e7ac7317217c57dc73 | [
"Apache-2.0"
] | permissive | almacro/snippets | 7000faf593ab97a0890ea56d944ceef4ef23643a | e247c5bc26f336add1c7be8636775f841a65615d | refs/heads/master | 2023-08-05T11:00:13.161159 | 2023-07-23T15:31:42 | 2023-07-23T15:31:42 | 65,136,325 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,779 | py | #!/usr/bin/python -tt
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
"""Wordcount exercise
Google's Python class
The main() below is already defined and comp... | [
"almacro@acm.org"
] | almacro@acm.org |
9d94553def65fa54add0ae469b3f4618b2e3e1c9 | cce7f7b8979883f0efba3ab99e5fb95b558be907 | /patterns.py | 49e1caf7718bdcdcee728093c00e761d197e0b80 | [
"MIT"
] | permissive | johnsoncarl/TLR | bc578f25e54254cffe52e9b377980d5b3f1a1d28 | a3684d68469e2a9acb9129d193a60ef0109a1ac1 | refs/heads/master | 2022-11-30T19:19:55.600251 | 2020-08-03T07:37:49 | 2020-08-03T07:37:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | import json
def get_patterns():
with open('intents.json', 'r', encoding = 'utf-8') as json_data:
intents = json.load(json_data)
patterns = []
for i in range(len(intents['intents'])):
# print(intents['intents'][i]['patterns'])
patterns += intents['intents'][i]['patterns']
... | [
"noreply@github.com"
] | noreply@github.com |
54f8f44f719f7d3c0acc91b5c3995ea9a048a642 | c0c4b1db16a7f85a74cba224f3ebea5660db379e | /old_files/AGILENT33220A_SERVER.py | 9bd730306419b55de399a47b7a53dd5763d04f45 | [] | no_license | trxw/HaeffnerLabLattice | 481bd222ebbe4b6df72a9653e18e0bf0d43ba15e | d88d345c239e217eeb14a39819cfe0694a119e7c | refs/heads/master | 2021-01-16T18:13:36.548643 | 2014-05-09T21:47:23 | 2014-05-09T21:47:23 | 20,747,092 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,087 | py | from labrad.server import LabradServer, setting
import serial
class AgilentServer(LabradServer):
"""Controls Agilent 33220A Signal Generator"""
name = "%LABRADNODE% AGILENT 33220A SERVER"
def initServer( self ):
#communication configuration
self._port = 'COM11'
self._addr = 0 ... | [
"micramm@gmail.com"
] | micramm@gmail.com |
5e8dc84572666348519c3286c050f297c1cf3875 | 34ca8b9455d405c036d160748af14afc9cda0865 | /oefening3.py | 2f7f35efa45ec7d58b0a813b87d9b62f5106091f | [] | no_license | FreVanBuynderKDGIoT/Make1.2.1 | 36616bf629a813a0486925ef8b61d7090ab20273 | f1a95f3273e40fe9b28aba15d6a419085b68f6a9 | refs/heads/main | 2023-01-15T17:09:35.715629 | 2020-11-27T11:08:24 | 2020-11-27T11:08:24 | 315,028,210 | 0 | 0 | null | 2020-11-22T12:07:22 | 2020-11-22T12:07:21 | null | UTF-8 | Python | false | false | 908 | py | #!/usr/bin/env python
"""
Een python script dat het volgende doet:
vraagt achter je leeftijd
berekent in welk jaar je geboren bent en dat ook als output meegeeft
berekent in welk jaar je 50 jaar zal zijn en dat ook als output meegeeft
"""
# imports
from _datetime import datetime
__author__ = "Fre Van Buynder"
__email... | [
"fre.vanbuynder@student.kdg.be"
] | fre.vanbuynder@student.kdg.be |
73bc5b03f923a6efc2b666113edf9a54da2617fa | 73eafe1084bf44724fac22faf20ce34cfd35a03c | /v7.1/Server.py | ae82c6596ddafd90b98ee8ce63909ea0da1f05fe | [] | no_license | al0258/Green_Village_Project | efa02c292b535d9efe8524e47756105fa1ceb99c | ad835122400c025be8b4824ffaf389285f1bd8ea | refs/heads/master | 2022-02-22T21:48:36.048924 | 2018-02-22T19:14:59 | 2018-02-22T19:14:59 | 117,549,109 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,953 | py | # Future imports to work like Python 3
from __future__ import print_function
import cv2
import time
import numpy
import socket
import threading
from Queue import Queue
# Constant variables
NUMBER_OF_THREADS = 2
JOB_NUMBER = [1, 2]
queue = Queue()
all_connections = []
all_addresses = []
COMMANDS = {'help... | [
"noreply@github.com"
] | noreply@github.com |
3703f28f90e111bc5f459617249a1afa4b610f31 | f86ba5fcf804c9bfc9b3ebe964cbf3ef3ac3f299 | /avalon_setup.py | 05b6b5f39a58d847d9f6330167bb89264b417201 | [] | no_license | zjuguxi/avalon | 1014fd0783c9d0b66adab47dc2e93ebf1f321d9d | 2bb3dd7b0e66c12d72b21af712b837ad4cc01de1 | refs/heads/master | 2021-01-10T01:51:47.953188 | 2016-02-22T04:51:59 | 2016-02-22T04:51:59 | 52,017,521 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,072 | py | # -*- coding:utf-8 -*-
from random import choice
import avalon
from avalon import players_amount
from avalon import host_name
from avalon import player1_name
from avalon import player2_name
from avalon import player3_name
from avalon import player4_name
from avalon import player5_name
from avalon import player6_name
f... | [
"zjuguxi@gmail.com"
] | zjuguxi@gmail.com |
045da16c2184b277c6f0a2560b7f5b3eb5e1ebe5 | bf1881e6be94fdcf6d1cec50a3e3ca4028126771 | /openconcept/utilities/selector.py | 54a7178de3b59586b6e68638623f3c40c63bb689 | [
"MIT"
] | permissive | berlinexpress174/openconcept | 1acd7a969708af71865115528c304f3a3afb6325 | f4646d583ba1840540e648601c963adab13cdccf | refs/heads/master | 2023-08-25T09:20:48.892182 | 2021-10-08T21:03:36 | 2021-10-08T21:03:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,709 | py | from __future__ import division
import openmdao.api as om
import numpy as np
class SelectorComp(om.ExplicitComponent):
"""
Selects an output from the set of user-specified inputs
based on the selector input at runtime.
For example, if the inputs argument is ['A', 'B', 'C'], then a selector value of 0
... | [
"noreply@github.com"
] | noreply@github.com |
d0861746c59c9cf79925a535d54d4cf55e4c2483 | 9c6274501d3edcea99f72971d195a50760af6656 | /Back/NN.py | 2ba206124a564f5f255cc10ec0ba75cc0e04a2c8 | [] | no_license | dimazzziks/PandemicHelper | b6e4df0e77922dafcc142fc4ea853b8ef50b09e2 | f460ea57137ac60e45049c841042c7e765e55500 | refs/heads/master | 2022-06-10T04:36:28.942024 | 2020-05-05T11:31:46 | 2020-05-05T11:31:46 | 261,349,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,929 | py | import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.optimizers import RMSprop
from keras.preprocessing.text import Tokenizer, text_to_word_sequence
from sklearn.model_selection import train_test_split
%matplotlib inline
import matplotlib... | [
"zhbannikov_dima@mail.ru"
] | zhbannikov_dima@mail.ru |
e258490c9c96a24d1455e651209ea0988d282c37 | 83f2c9c26a79fdb2d6dd47218484e06875ccdb77 | /rpca.py | 3b733283c7cb1ac83b215bfd6a464454110d5b53 | [] | no_license | zuoshifan/rpca_HI | 4fe7a0c76326b57489a719583e2c8f13d07c363c | f94060ba3adbce5971eb4440bd7867240ebd088d | refs/heads/master | 2021-01-21T10:14:01.521672 | 2017-05-12T06:51:17 | 2017-05-12T06:51:17 | 83,398,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,195 | py | import math
import numpy.linalg
def robust_pca(M):
"""
Decompose a matrix into low rank and sparse components.
Computes the RPCA decomposition using Alternating Lagrangian Multipliers.
Returns L,S the low rank and sparse components respectively
"""
L = numpy.zeros(M.shape)
S = numpy.zeros(M... | [
"zuoshifan@163.com"
] | zuoshifan@163.com |
dbdd93f72c7db687aa3c5f760ee24916fc3d7999 | 022102de6aa3c303d8e5c69ad35f3cd4b09c7ea5 | /ritter/analytics/genderize.py | c63229793872fae9bd3d33270c8519810628969d | [
"MIT"
] | permissive | ErikGartner/ghostdoc-ritter | 6fdb1d4fe4485474fa721d4fab5bbcb2f5fbc93e | d6ae8bb1e35495cd609b420f0820e334e9eecf61 | refs/heads/master | 2020-12-23T11:35:26.070804 | 2017-03-12T22:15:17 | 2017-03-12T22:15:17 | 52,436,154 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 236 | py | import json
import gender_guesser.detector as gender
class Genderize():
detector = gender.Detector(case_sensitive=False)
def guess_from_name(firstname):
g = Genderize.detector.get_gender(firstname)
return g
| [
"erik@gartner.io"
] | erik@gartner.io |
e133611812693add8fbd9b4ed9f2324db5c55498 | 57e82a6108287eb91a6045dd655870e37d86089a | /menu.py | 11ab349879824b30d01bb57f23876516c6b03440 | [] | no_license | keur1234/Nebula | eb77109a9416397e8a35ee25965b40fcf46a7ad3 | 216c2f3887448d0cd018f27f40fa4c91abd68bdb | refs/heads/main | 2023-01-12T08:14:09.273735 | 2020-11-22T14:09:24 | 2020-11-22T14:09:24 | 315,052,546 | 0 | 0 | null | 2020-11-22T14:09:43 | 2020-11-22T14:09:42 | null | UTF-8 | Python | false | false | 3,187 | py | import pygame
from pygame.locals import *
import sys
import globe
import loading
class _menu(object):
def __init__(self):
self.resource = globe.resourceManager
# ? For making background
self.bg_frame = 0
self.bg_name = self.resource.bg_name
self.bg = self.reso... | [
"koonyoch@hotmail.com"
] | koonyoch@hotmail.com |
19cf27533a2a398e4b0b22bdc588303155f48b95 | fa344b6d6560b245ac8ef131e128626fb9727e49 | /app/message/serializers.py | 66f392ab440ba027197594afa6bbe9bc3d759ca4 | [
"Apache-2.0"
] | permissive | FarDust/we-may-chat | eb67614bec603979781f697ad9087c28f250d95f | 84022f0500cd24e0775225026a6656ea2c05f8ee | refs/heads/master | 2023-01-12T17:10:12.420797 | 2021-05-26T14:11:17 | 2021-05-26T14:11:17 | 205,960,241 | 4 | 1 | Apache-2.0 | 2023-01-02T00:35:25 | 2019-09-03T00:57:54 | TypeScript | UTF-8 | Python | false | false | 229 | py | from rest_framework import serializers
from app.message.models import Message
class MessageSerializer(serializers.ModelSerializer):
class Meta:
model = Message
fields = ('content', 'timestamp', 'nickname')
| [
"gabriel.faundez@gmail.com"
] | gabriel.faundez@gmail.com |
b3bc1711d464c54f1ecdd34c2dce8cf51e0d7b0b | 2b28814e50b036a17afb26cd56accdacb6f38854 | /src/segments/migrations/0005_auto_20190529_1426.py | 022d798ffab64beed3b91cd3fb179e4ba0fea47a | [
"BSD-2-Clause"
] | permissive | Financial-Times/bullet-train-api | c6660965ca5e8f956b7666bde35b5f64bf18f773 | a54e0df1c85ff353c1b5c3056ea3e3e4d1fc7006 | refs/heads/master | 2023-08-03T16:31:06.503907 | 2021-02-10T09:29:35 | 2021-02-10T09:29:35 | 170,123,292 | 1 | 1 | BSD-3-Clause | 2019-10-01T16:26:51 | 2019-02-11T12:14:35 | Python | UTF-8 | Python | false | false | 792 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-05-29 14:26
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('segments', '0004_auto_20190523_1325'),
]
operations = [
migrations.AlterFi... | [
"matthew.elwell@solidstategroup.com"
] | matthew.elwell@solidstategroup.com |
19ab4104f1f4380d332e39601e9f99c488663b51 | 3eca98b1ab52e9a852cf20462cbff7bd0396b25c | /Cell.py | d625f93eff40dc22a5404140c67ffecaccc30f33 | [] | no_license | yuxuanli/AI_Game_Search | 53ec5757568aca026be27035359fc74ebc5fdfdd | b4d607c7df3dbeeee9a5a5fe9de54be09926b528 | refs/heads/master | 2021-01-10T00:58:03.518635 | 2016-02-15T06:19:22 | 2016-02-15T06:19:22 | 51,273,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 730 | py | class Cell:
def __init__(self,x,y,value=0,state="*"):
self.x = x
self.y = y
self.value = value
self.state = state
self.evaluatedValue = 0
alphalist = ["","A","B","C","D","E"]
self.name = alphalist[y]+str(x)
def setValue(self,value):
self.value = value
def getValue(self):
return self.value
def s... | [
"liyuxuanzju@gmail.com"
] | liyuxuanzju@gmail.com |
8513a6f92b69888d552519993e603c35cfb07241 | 95b6fc4617c4437be2e57095df4eab0938b1aeeb | /portfolio/homepage/forms.py | 2268aa84312fd44fadfc652960f9cd2d2e52c5fc | [] | no_license | ericmschow/django-exercise | c6ca531fb1feafd140b3e296c6f94d2f6ff04994 | 4a3203bb823a1f557a30300e1265ca841237bb35 | refs/heads/master | 2021-01-20T14:39:47.306422 | 2017-05-12T20:53:52 | 2017-05-12T20:53:52 | 90,642,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 306 | py | from django import forms
class emailForm(forms.Form):
name = forms.CharField(label="name", max_length=100)
email = forms.EmailField(label='email', max_length=100)
message = forms.CharField(label='message', max_length=500)
# attachment = forms.FileField(label='attachment', required=False)
| [
"eric.m.schow@gmail.com"
] | eric.m.schow@gmail.com |
5ef1e7f10dc123b57434e69de06b120e3e884c89 | 88ed6ed99589f7fb8e49aeb6c15bf0d51fe14a01 | /004_medianOfTwoSortedArrays.py | f50d1fe4f60aca33c8dc8105b02120ac6779206e | [] | no_license | ryeLearnMore/LeetCode | 3e97becb06ca2cf4ec15c43f77447b6ac2a061c6 | 04ec1eb720474a87a2995938743f05e7ad5e66e3 | refs/heads/master | 2020-04-07T19:02:43.171691 | 2019-06-23T15:09:19 | 2019-06-23T15:09:19 | 158,634,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,215 | py | #-*-coding:utf-8-*-
__author__ = 'Rye'
'''
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
You may assume nums1 and nums2 cannot be both empty.
Example 1:
nums1 = [1, 3]
nums2 =... | [
"noreply@github.com"
] | noreply@github.com |
b9f586b7b8ea5046c4b22ce5c2de93c0df00f1e0 | e01b10377c7f12d7429a98e8b15ecca9a7184e5f | /mysite/blog/migrations/0002_auto_20190908_0118.py | a4405f2e12520835207dbc1f7d03a45422be0549 | [] | no_license | srikanth3006/django-blog-project | 4b2012f2a278b741ad5117f8fa632c9ff817ad00 | f9ade8f99809a9564a7f0da04c58635b54d18105 | refs/heads/master | 2023-04-29T21:26:32.658647 | 2019-09-15T05:45:20 | 2019-09-15T05:45:20 | 207,019,431 | 0 | 0 | null | 2023-04-21T20:37:21 | 2019-09-07T19:58:59 | Python | UTF-8 | Python | false | false | 1,283 | py | # Generated by Django 2.2.4 on 2019-09-07 19:48
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
operations = [
migr... | [
"srikanth.ganji@teradata.com"
] | srikanth.ganji@teradata.com |
2f8b55ab81fbe26ac3662b8d281a8447a770f0e3 | e5d27408ca6bf81a85712b1c6c28184fe3cab94e | /examples/notification_flow/notification_server.py | 2d57109c4caa16cb1e1d5a89f0c05bda628680a4 | [
"MIT"
] | permissive | speechmatics/speechmatics-python | f4ab98a75463c2cc22380147f6c0b33ab8ec099c | f67559da1bbc66c5ea809694b1e696349f70309b | refs/heads/master | 2023-08-08T20:07:50.884976 | 2023-08-02T09:24:40 | 2023-08-02T09:24:40 | 224,633,111 | 53 | 17 | MIT | 2023-08-25T09:05:50 | 2019-11-28T10:56:50 | Python | UTF-8 | Python | false | false | 1,901 | py | """
A server which receives the Speechmatics API Notification (Webhook)
This is a dev example - DO NOT USE IN PRODUCTION
"""
import json
import sqlite3
from flask import Flask, request # noqa: F401
from flask_cors import CORS, cross_origin # noqa: F401
from speechmatics.batch_client import BatchClient
app = Flas... | [
"tudore@speechmatics.com"
] | tudore@speechmatics.com |
83849a03125d9c7410fb0099f3f3728f574cdae2 | 3ee3550c816f4dbdfe8f8d6fc7752e9527010c95 | /Chapter2_Perception.py | 2cbc6b93bde2b5dca4604af1db269b117757ee65 | [] | no_license | wbxing/statisticalLearningMethod | 6de4d1dde8e9148e0969d57565e12090bed04bad | c6d363527aedf56eabf4b4574b15275e336cac9e | refs/heads/master | 2020-06-09T10:25:08.369210 | 2019-11-11T11:42:05 | 2019-11-11T11:42:05 | 193,422,710 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,621 | py | import numpy as np
import matplotlib.pyplot as plt
# 符号函数
def sign(x, w, b):
y = np.dot(x, w) + b
return y
# 随机梯度下降
def fit(X_train, y_train):
w = np.zeros(X_train.shape[1])
b = 0
l_rate = 1
i = 0
while i < X_train.shape[0]:
X = X_train[i]
y = y_train[i]
... | [
"wenbiaoxing@gmail.com"
] | wenbiaoxing@gmail.com |
a696eb51dadde3b00b05557fdce2838b1d3bb77b | 828a983487ebba0706b7d6b92342e0f4863a723c | /deepfake_detection_train.py | 36000db797589ec9e717a18168ecabb3cf7118c3 | [] | no_license | kbh1860/DeepFake_Detection | 1ff3f44c1bf97e5de8e85b87c35b1196312514a9 | 60d74406767f00c22a9e4c5dbe01caa61a75c59f | refs/heads/master | 2023-07-15T12:58:30.551991 | 2021-09-04T03:03:12 | 2021-09-04T03:03:12 | 378,341,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,446 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os
import cv2
import json
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sn
import pandas as pd
from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img
from tensorflo... | [
"kbh10211@gmail.com"
] | kbh10211@gmail.com |
9fad4a7fb6ae6609c50d49b2dcc30e606ffbfe10 | 004bb01acc528f20bce4442971eb1db7cec5de08 | /Python123/Python123/树干也要骚.py | ca34ffaaaed999412d41ef96a8ddb5ff516f5fd1 | [] | no_license | 1457667414/pythontest | 2bcc58fd46aba2b4a87901bc5b492a4b991de726 | 9bc9144bcadb851aed2b4628fbfe70c1a48c7894 | refs/heads/master | 2023-01-11T19:23:28.161335 | 2020-11-09T10:58:50 | 2020-11-09T10:58:50 | 311,309,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | import turtle
toplevel = 6 # 一共递归6层
angle = 30
def drawTree(length, level):
turtle.left(angle) # 绘制左枝
turtle.forward(length)
if level < toplevel: # 在左枝退回去之前递归
drawTree(length - 10, level + 1)
turtle.back(length)
turtle.right(angle * 2) # 绘制右枝
turtle.forward(length)
if level... | [
"1457667414@qq.com"
] | 1457667414@qq.com |
b62632571450b9b5ff0b6f473f20492bd108ad62 | 0d6adbc447a9a7fb92fd31886d6cf2d067e69bf1 | /plivo_test_suites.py | 798a1f1cb7772740b6c420e249864520372480c3 | [] | no_license | Abhi00k/Plivo_assignment | 2bd4fd10fdaecbcacc604d305202cb2dda0c52ac | 1e89a316ece88199548254076c59c2cbf1129638 | refs/heads/master | 2020-03-31T19:19:31.192757 | 2018-10-11T06:55:50 | 2018-10-11T06:55:50 | 152,493,034 | 0 | 0 | null | 2018-10-11T06:55:51 | 2018-10-10T21:36:41 | Python | UTF-8 | Python | false | false | 1,301 | py | """
#!/usr/bin/env python
# title : test_suits.py
# description : This file contains code for running automated tests
# author : Abhishek <abhishek@artifacia.com>
# python_version : 2.7
#===============================================================================
"""
import shutil
import uni... | [
"abhi001@Abhisheks-MacBook-Air.local"
] | abhi001@Abhisheks-MacBook-Air.local |
5152bfd0b95e7265f3114d05d338890b7e34b701 | 980be671608348b2e502f2181066c1f509b1f8fd | /setup.py | 09b6561121d3578f4e0242236dd760fecc027f4f | [
"MIT"
] | permissive | cswl/imgurpoi | e52355b80f3fee5af91ba90e209271b223c8a1de | c8d8930e70a9a353266a57dbf771da5830a8e998 | refs/heads/master | 2020-04-22T17:58:04.680857 | 2019-02-14T14:10:34 | 2019-02-14T14:10:34 | 170,560,475 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,447 | py | from io import open
from setuptools import find_packages, setup
with open('imgurpoi/__init__.py', 'r') as f:
for line in f:
if line.startswith('__version__'):
version = line.strip().split('=')[1].strip(' \'"')
break
else:
version = '0.0.1'
with open('README.md', 'r', e... | [
"cswl1337@gmail.com"
] | cswl1337@gmail.com |
38d58c1a1117d022b2d55be2c9392e708dbeb924 | 583d03a6337df9f1e28f4ef6208491cf5fb18136 | /dev4qx/purus-repo/tasks/sync_task.py | b8d89d4424113bbe84c0b939794fb5b17b43eabb | [] | no_license | lescpsn/lescpsn | ece4362a328f009931c9e4980f150d93c4916b32 | ef83523ea1618b7e543553edd480389741e54bc4 | refs/heads/master | 2020-04-03T14:02:06.590299 | 2018-11-01T03:00:17 | 2018-11-01T03:00:17 | 155,309,223 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,148 | py | # encoding: utf-8
import logging
import tornado.gen
import tornado.ioloop
from sqlalchemy.orm import sessionmaker
import core
request_log = logging.getLogger("purus.request")
class SyncTask(tornado.ioloop.PeriodicCallback):
def __init__(self, application, callback_time):
super(SyncTask, self).__init__(s... | [
"lescpsn@aliyun.com"
] | lescpsn@aliyun.com |
e1f5e6d3be9a072b2c8c54a7db8c2b69ee601459 | b60849c71c644b488a9777edd9809883cbaff884 | /stringsync/sync.py | ba9ca155174cc1b6c88aba0402ca29118333c4b1 | [
"Apache-2.0"
] | permissive | dev-junior/strings-datasync | ded0183a9bea5a715555c4b55ce1ea3ecf2ba6c7 | 858a0d97687dfc42e0010b25718e2b17084e75fb | refs/heads/master | 2020-03-21T02:53:51.338210 | 2015-10-05T22:41:35 | 2015-10-05T22:41:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,211 | py | from StringIO import StringIO
import sys
from stringsync.mysql2ldif import mysql2ldif, organization_dn
from stringsync.ldif_dumper import dump_tree_sorted
from stringsync import db
from stringsync.ldiff import ldiff_and_apply, ldiff_to_ldif
def _sync_db_to_ldap(organization_id, db_server, ldap_server, dry_run):
... | [
"tomheon@gmail.com"
] | tomheon@gmail.com |
5d9fa9cd1b5f06a381cee08c729581e92b5e5ed0 | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /125_algorithms/_exercises/templates/_algorithms_challenges/pybites/advanced/93_v3/rps.py | 6390079246a910365c6f43a18f17e098926b1800 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 1,078 | py | # ____ r__ _______ c..
#
# defeated_by d.. paper_ scissors
# rock_ paper
# scissors_ rock
# lose '@ beats @, you lose!'
# win '@ beats @, you win!'
# tie 'tie!'
#
# c.. ?.v..
#
# ___ _get_computer_move
# """Randomly select a move"""
# r.. c.. c..
#
#
# ___ _get_winner compu... | [
"sergejyurskyj@yahoo.com"
] | sergejyurskyj@yahoo.com |
accf04c3dd5dc97c44fefd3a3790d423200ace90 | e2113da0cc7fe791a0780821ffad10d79cfe5eb2 | /Assignment_2/cs231n/data_utils.py | 5a783f1577474bafce5f9cbcf70354c36ab83e90 | [] | no_license | maxshaps/Convolutional-Neural-Networks-For-Visual-Recognition | 6e75500036e7a0350dd6a1f10f26fbb4068a6820 | 732115e3d666744560abd904ff10104310bfb916 | refs/heads/master | 2022-12-12T12:05:15.914591 | 2020-03-03T00:27:38 | 2020-03-03T00:27:38 | 244,502,118 | 0 | 0 | null | 2022-12-07T23:33:06 | 2020-03-03T00:02:53 | Jupyter Notebook | UTF-8 | Python | false | false | 9,280 | py | from __future__ import print_function
from builtins import range
from six.moves import cPickle as pickle
import numpy as np
import os
from scipy.misc import imread
import platform
def load_pickle(f):
version = platform.python_version_tuple()
if version[0] == '2':
return pickle.load(f)
elif versio... | [
"maxwell.craig.shapiro@gmail.com"
] | maxwell.craig.shapiro@gmail.com |
72dd61a158c302f6c81f7b839bd22510c5704f18 | 9bbc76b0d31fb550392eb387aab54862576c3e6d | /0x08-python-more_classes/6-rectangle.py | df22ebe5faae5a083f60627a756b6e2e54646874 | [] | no_license | Jesus-Acevedo-Cano/holbertonschool-higher_level_programming | 39c6e99f6368dba61c8668ffac41ea2257910366 | ad28e8f296d4c226e1c0d571e476fedb3755fde5 | refs/heads/master | 2020-09-29T03:20:19.770661 | 2020-05-15T03:50:10 | 2020-05-15T03:50:10 | 226,937,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,391 | py | #!/usr/bin/python3
class Rectangle():
"""class named Rectangle"""
number_of_instances = 0
def __init__(self, width=0, height=0):
"""Initialization of instance attributes
Args:
width (int): width of rectangle
height (int): rectangle height
"""
self.w... | [
"jeacevedocano@gmail.com"
] | jeacevedocano@gmail.com |
e00c99ee7d822229dab9f18678eecb1384974475 | cb108d610b3f24f13fb8277ed1f4bebc96288bd2 | /config.py | bf62ae0069e21d58714362846a80abf20991a4fd | [
"MIT"
] | permissive | Mbarak-Mbigo/cp2_bucketlist | 24476137955d2b1f299eec63fbd1fd25d3511fdd | 6ba239d8a941d3f644fc3e92345f93cfaad79072 | refs/heads/develop | 2021-01-19T10:17:50.557060 | 2017-09-18T13:42:59 | 2017-09-18T13:42:59 | 87,851,083 | 0 | 1 | null | 2017-05-23T13:29:02 | 2017-04-10T19:46:25 | Python | UTF-8 | Python | false | false | 2,505 | py | """Application configuration module.
configuration definitions and options
config.py
"""
# standard imports
import os
# third party imports
# local imports
basedir = os.path.abspath(os.path.dirname(__file__))
class Config:
"""Common configurations across all environments."""
DEBUG = False
SECRET_KEY = ... | [
"mbarak.mbigo@andela.com"
] | mbarak.mbigo@andela.com |
5de5fdf8d55716b7158ddc327f017bab4a265345 | ebcf2845371b9a9d54bcd88fb36f302339ef7206 | /SCSN2021Dataset/build_noise_step3.py | 53b9950a0cd8abd970c8414baaff490bc09400b7 | [] | no_license | lovelytt0/EdgePhase | e42f6371678c5b26f8d0db087d51f7a315c25900 | 292f32eba9e5cc17547d1d307f3660ff8ef47db9 | refs/heads/main | 2023-04-17T10:07:52.986371 | 2022-08-04T06:35:36 | 2022-08-04T06:35:36 | 476,444,420 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,698 | py | import obspy
import glob
import numpy as np
import os
import tqdm
import pickle
download_list=np.load('continous_sta_download.npy')
sta_dict={}
for sta in download_list:
inv=obspy.read_inventory("StationList/CI_"+sta+'.xml', format="STATIONXML")
lat, lon, dep= inv[0][0].latitude, inv[0][0].longitude, inv[0][0... | [
"tianfengseis@gmail.com"
] | tianfengseis@gmail.com |
c417d8515b7f94a0785721ef520b2ad3d102990d | 381eda241bdc3d9d5d8eeea830f34594995a1aed | /othello_console.py | e28f6b14adb731f201cb88250dcabcc877ce7ff6 | [] | no_license | alonzoc1/Othello-Python-Mar.-2015- | a5d5aa8eb08948bbf50757db479e68016f691123 | fce988958030bf5985c93ffc205646ea99e40380 | refs/heads/master | 2021-01-11T01:04:52.621194 | 2016-10-16T14:46:54 | 2016-10-16T14:46:54 | 71,055,877 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,474 | py | #Alonzo Castanon 94339018
import othello
def print_board(game_object):
game_board = game_object.game_board()
row_ticker = (game_object.columns_and_rows()[1] - 9)
for i in range(len(game_board[0])):
line2 = ''
line = ''
if row_ticker > 0:
line += (str((len(game_board[0])-... | [
"alonzoc1@uci.edu"
] | alonzoc1@uci.edu |
136081c3ad617eb8c29f2bb8ef7001192860db42 | f912aa092ff84d9964feb6038abd2465434945fb | /Experiments/compare_place.py | 795028c6881f27e420d00af9aad01bbd9fe5dd85 | [] | no_license | YOAOY/PRP | a57a86911b85fcae4b4c0702c668b982ebc9820e | 9afe8adcdf9e4b96601b5c702bec70dbf1074d8d | refs/heads/master | 2021-07-07T18:46:43.039971 | 2019-03-06T07:26:37 | 2019-03-06T07:26:37 | 142,745,117 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,222 | py | # 去抓原本檔案的matrix
# 然後再抓新座標的matrix
# 然後開始比對，印出結果~
# 每筆測資都會有比對的matrix 每一格為舊的(matrix distance - 新的distance)/distance
# 是一個差距的百分比
# 然後會有max_gap(正差距) 和 min_gap(負差距) 目的是找到最大的差距
#########################################
import math
import time
def sq(x):
return float(x * x)
# 去抓explist 找出所有data的檔案名稱
explist = 'expli... | [
"y3youoy3y@gmail.com"
] | y3youoy3y@gmail.com |
10f15096eff2605cc1b6f34cae9b10d7dbd66012 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/3/usersdata/138/733/submittedfiles/ex1.py | 1e83a25bea9a34b44af82f240fef204ac4552b94 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 288 | py | # -*- coding: utf-8 -*-
from __future__ import division
a = input('digite o valor de a:')
b = input('digite o valor de b:')
c = input('digite o valor de c:')
delta = (b**2)-(4*a*c)
x1 = (-b+(delta)**(1/2))/(2*a)
x2 = (-b-(delta)**(1/2))/(2*a)
print('valor de x1')
print('valor de x2')
| [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
91b74dd01c63994d0b4221c452063e913584e443 | e3c422285aae83f81d594ef844caffb90c79e44c | /dataset_prep_2c.py | 98407eabf17510829bcd0d324e1532b7ebe9f81f | [] | no_license | erlikn/sm_ps_ct | 2f2691e2eff9c7367233e88b7a6280e6e40a468b | 950645b47b4c8c80b3488c2eb7c9e2f7d80ee8ad | refs/heads/master | 2021-06-30T14:18:08.337344 | 2019-04-04T23:28:57 | 2019-04-04T23:28:57 | 129,152,331 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,806 | py | import tensorflow as tf
import sys
import os
import json
from PIL import Image
import cv2
import numpy as np
import time
import multiprocessing
import Data_IO.tfrecord_io as tfrecord_io
flags = tf.app.flags
flags.DEFINE_string('output_path', '', 'Path to output TFRecord')
FLAGS = flags.FLAGS
shardNumber = 0
samples... | [
"erlik.now@gmail.com"
] | erlik.now@gmail.com |
76d391107099225f1857340402e1fb53c91f1abb | 06b96f46f2f9a4830e5a72ecf78ae21a5af4757c | /rainbow.py | 37ae08cbc5ad7663e17c46ecb0265f42a73a685b | [] | no_license | K-TEE-R/keyboard_bridge | a3500fc71db59569c452d5cbee78fe7a84a5389a | 6b8e22a419c4f2bcea0b05bcc41658948cbcc082 | refs/heads/master | 2020-05-09T12:20:28.941094 | 2019-04-13T02:13:59 | 2019-04-13T02:13:59 | 181,109,254 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,039 | py | #!/usr/bin/env python
import colorsys
import blinkt
import time
import threading
spacing = 360.0 / 16.0
class Rainbow:
def __init__(self):
self.offset = 0
self.timer = threading.Timer(5, self.clear)
blinkt.set_clear_on_exit()
blinkt.set_brightness(0.1)
def increment(s... | [
"tmngkteer@gmail.com"
] | tmngkteer@gmail.com |
308115201a385958775ca46c80b558e760305c12 | 51d5fe19cb015dbc7079c15eb33762515a7d51a3 | /evolution/test_dealer.py | ca19ca4d6105ddcca86b4b5afadfb7e5c9ab72ce | [
"MIT"
] | permissive | ctbeiser/Evolution | e471b8cdfb9f2b1e5df949b0a9cede7395787e6f | ab0de37f9ed7f9e545067726ec514f73bdeb3b51 | refs/heads/master | 2016-09-14T10:51:19.368120 | 2016-05-09T19:54:03 | 2016-05-09T19:54:03 | 58,402,428 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,065 | py | from unittest import TestCase, mock
from .dealer import Dealer
from .player import Player, InternalPlayer, ExternalPlayer
from .species import Species
from .trait import Trait
from .traitcard import TraitCard
import os
import json
BIG_SIZE = 4
LITTLE_SIZE = 2
TINY = 1
class DealerTestCase(TestCase):
def setUp(s... | [
"ctbeiser@gmail.com"
] | ctbeiser@gmail.com |
8efabf772ccd65e752d072a3363250af54019948 | 99e2412ea049e3b92920e4cf39805e7c7868601a | /keep_alive.py | 17cc3895569751ddb4a82712a61139516682f36d | [] | no_license | Faris0520/24h-online | 2657ddc4a677086cf1acc14d8221c894c422e1d0 | 6f99bd52e01a5e1af14857aa5f81d48c3ac2856c | refs/heads/main | 2023-07-19T13:29:17.623647 | 2021-09-09T15:45:02 | 2021-09-09T15:45:02 | 401,058,997 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | from flask import Flask
from threading import Thread
app = Flask('')
@app.route('/')
def main():
return "Running..."
def run():
app.run(host="0.0.0.0", port=8080)
def keep_alive():
server = Thread(target=run)
server.start()
| [
"noreply@github.com"
] | noreply@github.com |
cb7e8f189ff58665d2de11243c06d37e4856a0c2 | ee6648674410e1bec255dbfa6b800cf1df80a6b3 | /extras/mapperTotalSales.py | ca75757df04c862abbbd13bd52aec1e26aa9a9a6 | [] | no_license | MountEverest75/HadoopMapReduceSamples | 3ebb6bbb185e1d630172a95ed0fe68b75c1c37e6 | 052203d8dff180856bd53799f15a5591dc8a14f4 | refs/heads/master | 2020-05-05T06:17:49.491283 | 2014-12-08T17:38:15 | 2014-12-08T17:38:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py | #!/usr/bin/python
# Format of each line is:
# date\ttime\tstore name\titem description\tcost\tmethod of payment
#
# We want elements 2 (store name) and 4 (cost)
# We need to write them out to standard output, separated by a tab
import sys
for line in sys.stdin:
data = line.strip().split("\t")
if len(data) ==... | [
"ravikiranmailid@gmail.com"
] | ravikiranmailid@gmail.com |
a48b209de034f8f5624d7781dec6f5c0126a422b | 11a75e6a5691d4b7715e250736afd48e757733d4 | /Starship.py | b16470383985170cc5379b38917a68aa6ff46786 | [] | no_license | LarisaGarban/Proiect_baze_de_date | effef148c29e76cef3b2a58c788b2060379ac738 | b3c46b61bca654810f6b54546f688db837a12c9b | refs/heads/master | 2022-07-06T02:16:25.517730 | 2020-05-15T14:15:04 | 2020-05-15T14:15:04 | 261,397,819 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | import os
class Starship:
def __init__(self, peopleID, starshipID, people_starship_description):
self.peopleID = peopleID
self.starshipID = starshipID
self.people_starship_description = people_starship_description
def __str__(self):
text = ""
text += "peopleID: " + str... | [
"eduardtoth98@gmail.com"
] | eduardtoth98@gmail.com |
e3e6129a6a6f6c3335370421a49ec91a0b26f747 | 8b371f3f29baebe8ece2adf58a8ff8ccd891cdad | /src/util.py | b372b6461ef663e69dac12242a6b8fc011f90da6 | [] | no_license | ethan-oro/super-tic-tac-toe | 523e4d9c230ce8ba70d5e986c90f1c343385edc5 | 7e07dec475155e7c92d7529c3dfbe9ee455bd4ad | refs/heads/master | 2020-04-06T20:46:35.673002 | 2018-12-15T04:55:54 | 2018-12-15T04:55:54 | 157,782,800 | 0 | 0 | null | 2018-12-15T04:55:54 | 2018-11-15T22:54:41 | Python | UTF-8 | Python | false | false | 173 | py | import sys
import inspect
#method borrowed from cs221 pacman assignment
def raiseNotDefined():
print ("Method not implemented: %s" % inspect.stack()[1][3])
sys.exit(1)
| [
"ethanoro17@gmail.com"
] | ethanoro17@gmail.com |
ee9f5329221b8e8542bb74ff0d50c74159d0a736 | ed25dc9c6d0f8a41a3382d84715500242105be6e | /JSMayanCalendar7.py | 88ffc21ecec5c093d1b2019a5fdb4a15ce1839bd | [] | no_license | jshryane/MayanCalendar | a53be3044785fa22ff301f7012f13b6a639132d7 | 49830d5349d19511441e69084fe0c1f68a90570d | refs/heads/master | 2021-01-19T19:34:35.325170 | 2013-06-20T23:45:07 | 2013-06-20T23:45:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,364 | py | def GetMayanDate():
MDate = input("Please enter the Mayan date ")
return MDate
def ConvertMayanDateToMayanDays(M_Date):
DateList = M_Date.split() # splits the string using the spaces and assigns each part to a list
# get each unit's value back out of the list and convert it from a string to an intege... | [
"jshryane@didcotgirls.oxon.sch.uk"
] | jshryane@didcotgirls.oxon.sch.uk |
a6a221691019e3a21eb4e625ad0a29304c76bddd | e5bd884bcd6d4e1fd7242f10f0a0389a059e82fa | /cookbook/chapter12/12-3.py | cdbdcb963d5709638f071efd5f3128e6cd143fe7 | [] | no_license | ponyonKita/pythonCookBook | 4783ae336e536f680f9268a9cd08a2011bd26079 | 66e7443b56fb21fedcc45a51771252eaac4bc215 | refs/heads/master | 2021-01-01T20:15:19.676323 | 2017-11-20T15:37:37 | 2017-11-20T15:37:37 | 98,802,140 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,903 | py |
# 스레드간 통신
# 큐의 현재크기 -> q.qsize(), q.full(), q.empty() -> 호출한 순간 다른 스레드가 큐에 아이템 추가한경우
# 정확하지 않을수있다.
from queue import Queue
from threading import Thread, Event
import copy
_sentinel = object()
def product(out_q):
while True:
# 데이터생성
data = 3
evt = Event()
# 큐에 아이템을 넣을때 복사본이 생기지 않아... | [
"kaoru213@naver.com"
] | kaoru213@naver.com |
65e356d4d742ee7396ea5d25014fa88302715a36 | c807ab961d0dea5eb3936547e843673247639a07 | /Personel/abhipandey/python/assignment_25/userdict.py | 0f776301ef2ebfff811f3293ed29b5d05f25059d | [] | no_license | shankar7791/MI-11-DevOps | dbac94ca1fb4627ae44658701bcddcd22c65a3d4 | 63a0a65b05192439575ed2c47a6c3d33c5be87d2 | refs/heads/main | 2023-07-12T20:33:30.121801 | 2021-08-13T03:01:17 | 2021-08-13T03:01:17 | 355,145,424 | 0 | 4 | null | 2021-08-12T19:31:44 | 2021-04-06T10:19:10 | Python | UTF-8 | Python | false | false | 412 | py | from collections import UserDict
class MyDict(UserDict):
def __del__(self):
raise RuntimeError("Deletion not allowed")
def pop(self, s = None):
raise RuntimeError("Deletion not allowed")
def popitem(self, s = None):
raise RuntimeError("Deletion not allowed")
d = MyDict({'a' : 1,
... | [
"thepeopleschamp12345@gmail.com"
] | thepeopleschamp12345@gmail.com |
e7f80b5e9c796275e36a6f994de27df5968de8ba | 397fbb282596898a84a09070f41724ce9b65ed33 | /project.py.bak2 | 2f1b462edd856f44517596b5db51267d8ee98fb5 | [] | no_license | erasylediluly/university-database | 8150cc476c5c131e1d2f94d4afa2f9d56f9c7c29 | 28cc00cced5a85bd402df049d2de78ab9cd2baad | refs/heads/master | 2023-02-23T23:06:19.558525 | 2021-02-04T14:18:47 | 2021-02-04T14:18:47 | 328,692,220 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129,681 | bak2 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# GUI module generated by PAGE version 5.0.3
# in conjunction with Tcl version 8.6
# Apr 26, 2020 07:29:42 PM +06 platform: Windows NT
import sys
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
try:
import ttk
py3 = False
excep... | [
"erasylediluly@gmail.com"
] | erasylediluly@gmail.com |
69ee1c193bcede2e74ad402eb2964bf8f3ee3230 | 9a33bf0ab938a07b73788926a8b63a6eb1bb2346 | /Amazon_WebService/manage.py | 6ddf75c684d6ae5363f69938f1469546fd3ac212 | [] | no_license | skymoney/Amazon_REST | 0106b2a41f8934a3b67a008f9e68e9386008931c | cb2d2d4a19ec81241dba9294ae90089f892a4166 | refs/heads/master | 2021-01-19T05:26:03.054577 | 2014-09-11T01:57:43 | 2014-09-11T01:57:43 | 15,602,206 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 260 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "Amazon_WebService.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"CChain0615@gmail.com"
] | CChain0615@gmail.com |
0acd863d75ed2a23366a1723960b38e8e7866ac9 | 767fb467f5948ed371d238d2672711262639838d | /collections_extended/setlists.py | 8e759fa2f68dc71e636eb82022ebd4f86e513d90 | [
"Apache-2.0"
] | permissive | aishp9/collections-extended | 48a378c6cf871c40f30884d40ab7d50d77584823 | 917d95d43e431779c423945e117d13005ef3b0c6 | refs/heads/master | 2022-04-11T01:58:26.215185 | 2020-02-12T07:52:23 | 2020-02-12T07:52:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,244 | py | """Setlist class definitions."""
import random as random_
from collections.abc import (
Hashable,
MutableSequence,
MutableSet,
Sequence,
Set,
)
from . import _util
__all__ = ('SetList', 'setlist', 'frozensetlist')
class SetList(Sequence, Set):
"""A setlist is an ordered `Collection` of unique elements.
`Se... | [
"m.lenzen@gmail.com"
] | m.lenzen@gmail.com |
8a1b0d858c1296eda43135427699fa075eddb61b | 7e82610c94ff8b569fcb44c40800a88386be314d | /367.valid-perfect-square.py | 2910fac8b3ca09f0c0d35d98131ad1bbba5b0858 | [] | no_license | irtfrm/leet-code | c7614076add0a84118db36055b1ffa9e27b5b155 | af20a605fe9c01fc11f04ab70eff12b25ea066dc | refs/heads/main | 2023-08-01T16:15:28.200198 | 2021-09-17T13:24:00 | 2021-09-17T13:24:00 | 370,783,884 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 546 | py | #
# @lc app=leetcode id=367 lang=python3
#
# [367] Valid Perfect Square
#
# @lc code=start
class Solution:
def isPerfectSquare(self, num: int) -> bool:
if num == 1:
return True
left = 1
right = num // 2
while left <= right:
middle = (left + right) // 2
... | [
"frm.tomoya@gmail.com"
] | frm.tomoya@gmail.com |
a2fa262c03483846f2bf8c55629d15141de6ffcc | d364ab003b945d65fb7746f1cae0ebd0b997b4c0 | /flappybird.py | aba5e02a3c556d606556ca11f2b530a45eb8a615 | [] | no_license | RamandeepPrime/FLAPPY_BIRD | 5a579e943e9ad6d4adbfbb518e48679333e316e2 | d7acbd2fd99e15363cb00cc7f2690d11444c2f64 | refs/heads/main | 2023-05-25T18:48:48.288768 | 2021-06-06T14:46:44 | 2021-06-06T14:46:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,665 | py | from pygame.constants import KEYDOWN, K_SPACE
import pygame
import sys
import random
import os
import time
import neat
import pickle
import tkinter as tk
from tkinter import EventType, ttk,messagebox
#Initialize pygame
pygame.init()
root=tk.Tk() #giving allias
root.title('Bird Selection Window')
root.geometry('601x3... | [
"noreply@github.com"
] | noreply@github.com |
5f9da4e9e76d218315e22dd22a09e9cb5c342311 | 99bf9003fb0f526f973e42a714d3864d09d11ea4 | /filtros/filtroSobel.py | a335fef14544fed0056edc9c283b39509c3acb2c | [] | no_license | fsMateus/processamento_imagens | 695c6d95a5c070fb9a03374dec65bcc4292b0485 | 9d8fc65b1826df323a4ea93ca1a1583d2b4765a5 | refs/heads/master | 2020-04-05T13:15:24.609792 | 2018-11-09T16:49:43 | 2018-11-09T16:49:43 | 156,894,168 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,947 | py | from PIL import Image
class Sobel:
def __init__(self, img):
self.imagem = self.obterImagem(img)
def obterImagem(self, nome_img):
imagem = Image.open(nome_img)
return imagem.convert('L') # converte para tons de cinza
def criar_imagem(self, img):
return Image.new('L', (in... | [
"mateusfsv90@gmail.com"
] | mateusfsv90@gmail.com |
4746c7503d1a5dbba186f30f64b931c56facdfe9 | 242e7f118c62c6fbfe2f8da883bf104942d7e376 | /01_if02.py | bf7e3a73c948d94b0613b47fcba929de6fdb55ed | [] | no_license | sharryhong/python | c9a85b85d27c511dd03076647f33a3060dcd40b8 | b1451c3e656069e140113b3de8a4a80f4e8c953b | refs/heads/master | 2021-01-11T19:04:52.267169 | 2017-02-07T16:47:15 | 2017-02-07T16:47:15 | 79,311,893 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 614 | py | """
어떤 숫자가 3의 배수인지 알아보기 위해서는 그 숫자를 3으로 나눈 나머지가 0인지 알아보면 됩니다.
나머지는 % 연산자를 사용하면 알수가 있지요.
다음 코드를 실행해서 출력되는 결과를 확인해 보세요.
"""
number = 15
if number % 3 == 0: #number가 3의 배수인지 확인합니다.
print("{}는 3의 배수입니다.".format(number))#이 코드는 실행됩니다.
number = 16
if number % 3 == 0: #number가 3의 배수인지 확인합니다.
print("{}는 3의 배수입니다.".format(num... | [
"kshopzoa15@gmail.com"
] | kshopzoa15@gmail.com |
77b4d21978254bddd49f54d1d0116bdd8df861f6 | 15cf77a65eb5d4714293fb0fcf4d22b1b12f0def | /lesson_06/bookparser/runner.py | 4229679e41f5d1ae376ac512516b4b7e0f5dbe2a | [] | no_license | Fomatik/gb-parsing | 47efdc6c15d071e2f398316dda82d2964c55c797 | 1b24ddfbd65cdfec67ec4903c194a8bbe160a068 | refs/heads/master | 2023-03-16T12:47:16.553502 | 2020-06-29T20:42:09 | 2020-06-29T20:42:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 933 | py | # Импортируем класс для создания процесса
from scrapy.crawler import CrawlerProcess
# Импортируем класс для настроек
from scrapy.settings import Settings
# Наши настройки
from bookparser import settings
# Классы наших пауков
from bookparser.spiders.labirint import LabirintSpider
from bookparser.spiders.book24 import... | [
"rsh100@ya.ru"
] | rsh100@ya.ru |
dab996e33f462c33f1e6697f533f243ab688757f | c884dd1f9d6050a67be35ffa865e3f4df85f8405 | /backend/server/server/keys.py | 515012e5bade22b5b30f3de4db4d9ca7d9309423 | [] | no_license | madssf/trading-app-web | cd90f68a7439f4bf91463fb7aa2b6dd6beadb54f | a906fb726563fa15f7dffb40bcbebdf36bf16bb5 | refs/heads/main | 2023-07-24T13:58:20.082199 | 2021-08-24T16:59:46 | 2021-08-24T16:59:46 | 370,482,018 | 0 | 0 | null | 2021-08-24T16:59:47 | 2021-05-24T20:53:11 | Python | UTF-8 | Python | false | false | 443 | py | import os
class Database:
NAME = os.getenv('POSTGRES_DB')
USER = os.getenv('POSTGRES_USER')
PASSWORD = os.getenv('POSTGRES_PASSWORD')
HOST = os.getenv('DATABASE_HOST')
PORT = os.getenv('DATABASE_PORT')
class Secrets:
SECRET_KEY = os.getenv('DJANGO_SECRET_KEY')
class Superuser:
USERNAME... | [
"mads.steenfeldt.foss@gmail.com"
] | mads.steenfeldt.foss@gmail.com |
f8b76ee88bf3199ba784eea23e13478c952ee068 | 225543bcaa194360aa66c738a99b7ad5c291434b | /main_210516.py | 8aabc2d068464e871a923d87cbc79014605fd9b0 | [] | no_license | m0100434/zendlijsten | f0eecf12ab3fc90c1db9b5c22f1163a92dcdf6f7 | 171e1c427db71dad01408072081c85035c57a2b2 | refs/heads/main | 2023-06-19T05:04:31.619139 | 2021-07-17T07:51:46 | 2021-07-17T07:51:46 | 349,770,868 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,358 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 11:56:59 2021
@author: ArxXi
"""
from selenium import webdriver
import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by impor... | [
"m.verschuere@ailvis.com"
] | m.verschuere@ailvis.com |
fa1dcb7cf75c38c73c228a0c326b4791efa0218c | 09301c71638abf45230192e62503f79a52e0bd80 | /besco_erp/besco_warehouse/general_stock_shipping/wizard/__init__.py | 39773324ebf286802583121ca1528961e4ec8a3c | [] | no_license | westlyou/NEDCOFFEE | 24ef8c46f74a129059622f126401366497ba72a6 | 4079ab7312428c0eb12015e543605eac0bd3976f | refs/heads/master | 2020-05-27T06:01:15.188827 | 2017-11-14T15:35:22 | 2017-11-14T15:35:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | # -*- coding: utf-8 -*-
#import stock_partial_picking
import stock_invoice_onshipping
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4: | [
"son.huynh@nedcoffee.vn"
] | son.huynh@nedcoffee.vn |
ac82330340a012a83accd2c7568b401784590c4a | 0427a50ec60b6ca664288738cb5b9211f595e5c2 | /meiduo/settings/prod.py | d5859cbee08895d3f1b4fbb5f84087d627c51696 | [] | no_license | lcp964/meiduo | 6862f25df9c05ea9f970cacbd30673f612f7c103 | e13c076aabf95dec8de04b13e70d6094157cad4d | refs/heads/master | 2023-07-03T23:01:03.380090 | 2021-08-02T14:42:28 | 2021-08-02T14:42:28 | 391,984,463 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,032 | py | """
Django settings for meiduo project.
Generated by 'django-admin startproject' using Django 3.2.4.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import os
from... | [
"2441497185@qq.com"
] | 2441497185@qq.com |
540f489a9e94d400b3027d85897af712b39ac85f | 9e549ee54faa8b037f90eac8ecb36f853e460e5e | /venv/lib/python3.6/site-packages/future/backports/http/cookies.py | 063ed995ba4a12e6bce07a142806bd886a9751cd | [
"MIT"
] | permissive | aitoehigie/britecore_flask | e8df68e71dd0eac980a7de8c0f20b5a5a16979fe | eef1873dbe6b2cc21f770bc6dec783007ae4493b | refs/heads/master | 2022-12-09T22:07:45.930238 | 2019-05-15T04:10:37 | 2019-05-15T04:10:37 | 177,354,667 | 0 | 0 | MIT | 2022-12-08T04:54:09 | 2019-03-24T00:38:20 | Python | UTF-8 | Python | false | false | 21,705 | py | ####
# Copyright 2000 by Timothy O'Malley <timo@alum.mit.edu>
#
# All Rights Reserved
#
# Permission to use, copy, modify, and distribute this software
# and its documentation for any purpose and without fee is hereby
# granted, provided that the above copyright notice appear in all
# copies and that bot... | [
"aitoehigie@gmail.com"
] | aitoehigie@gmail.com |
3d61667e3088b1f1b05106dc5648b7aaf4002b91 | e574bfa1acf6ae4662775e0a1dfa22c6ce751cda | /tests/test_types.py | fe2e949778da128c17786d463a9d0a7d2a111d6e | [
"MIT"
] | permissive | shuric80/aioalice | 6ef4193cf9c27c1c1692c5d11a95583119ea3214 | e04b122b73ee139b42e13d28e4a5434c4c393bcc | refs/heads/master | 2020-03-23T20:06:02.678810 | 2018-07-11T18:59:36 | 2018-07-11T19:00:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,390 | py | import unittest
from aioalice import types
class TestAliceTypes(unittest.TestCase):
def _test_meta(self, meta, dct):
self.assertEqual(meta.locale, dct['locale'])
self.assertEqual(meta.timezone, dct['timezone'])
self.assertEqual(meta.client_id, dct['client_id'])
def test_meta(self):
... | [
"surenkhorenyan@gmail.com"
] | surenkhorenyan@gmail.com |
13bcb71b8c48dcb640e02db39bf23c068b8ac6a5 | 7f9da5ffaf27fee7cbc8893dbadc1c4d6bb6c1f7 | /TicTacToe/Game/teams.py | 7dc43a075f5717c7db7c98f2e2534eb332b7364f | [] | no_license | cztaylor/GameBots | 2e3080fb867efbff2a0ec15f4a4e7127005461c6 | 3095bc334db48047aba12dc4c6a1881e8261f9c3 | refs/heads/master | 2021-07-17T02:59:09.056156 | 2018-10-06T18:48:34 | 2018-10-06T18:48:34 | 135,877,030 | 0 | 0 | null | 2018-10-06T18:48:34 | 2018-06-03T05:43:44 | Python | UTF-8 | Python | false | false | 311 | py |
class TeamNode:
def __init__(self,team):
self.team = team
self.nextTeam = None
class TeamList:
def __init__(self,team1,team2):
self.firstTeam = TeamNode(team1)
self.secondTeam = TeamNode(team2)
self.firstTeam.nextTeam = self.secondTeam
self.secondTeam.nextTeam = self.firstTeam
| [
"chrtaylo@microsoft.com"
] | chrtaylo@microsoft.com |
9bb8c4394860772b3555d8fd9b85430708b8712e | 018813aac1a6ca32ee10588b98f2c9d975e33c63 | /app.py | da595c405403c47ebc3fad3e8f69919bce3014bf | [] | no_license | darrzns07/Travis_Post_Exams_Activities | c164d233515f638fdc6f037b5993c039fe8b95bc | 9dd8b362c5563aeb89283f340792cf4fee9efc29 | refs/heads/main | 2023-01-04T08:25:42.996810 | 2020-10-22T05:59:59 | 2020-10-22T05:59:59 | 306,237,401 | 0 | 0 | null | 2020-10-22T05:58:36 | 2020-10-22T05:58:36 | null | UTF-8 | Python | false | false | 1,697 | py | print("Title of program: Post Exam Activity bot")
print()
while True:
description = input("Could you describe how you feel in a sentence?")
list_of_words = description.split()
feelings_list = []
encouragement_list = []
counter = 0
for each_word in list_of_words:
if each_word == "hapy":
f... | [
"noreply@github.com"
] | noreply@github.com |
53b7cd3863dd4313951b334052d5b696250374ca | 29363ee74136edfcb815f4e613360a54224c9a00 | /configs/config.py | 9974a8c693a746cfc8b6618edca3a8d958208065 | [] | no_license | deepshwang/dltransformer | e6ced3a3f73957b5aa8ec459138c77ca802cc010 | 5a5a02daa315b45c9e7d653431ba9a78727b5e97 | refs/heads/main | 2023-05-31T13:55:26.830504 | 2021-06-19T08:17:26 | 2021-06-19T08:17:26 | 370,882,245 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | from strictyaml import load
from pathlib import Path
def load_config_data(path: str) -> dict:
yaml_string = Path(path).read_text()
cfg = load(yaml_string, schema=None)
cfg: dict = cfg.data
return cfg | [
"shwang.14@kaist.ac.kr"
] | shwang.14@kaist.ac.kr |
f16979f02fdbfeefda7b4ad877d9adac80bb4282 | aa118ff4070642c9d50a3ddb489a0b1b1603a167 | /6083.py | 410ae70eb1e844a0c3a9c47857f2a8c58d3553cd | [] | no_license | anjgkwld/my_port | 11990c7545064fa2736b7911157cb35b9bc9ccea | ab2dc8e56fa78e3c621281522d406c0aaf88f22f | refs/heads/main | 2023-09-03T03:48:11.148987 | 2021-11-13T07:31:30 | 2021-11-13T07:31:30 | 417,511,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | a,b,c=map(int,input().split())
sum=0
for i in range(a):
for j in range(b):
for k in range(c):
print(i,j,k)
sum+=1
print(sum)
| [
"noreply@github.com"
] | noreply@github.com |
3d7e7fc5498ab72cf6942993ad64821208a0a8e9 | a2e53ae50367751d34060135fedbb19cf5d79770 | /old2/vari25.py | 5cd1e1792d331606e6ff2a5384662f7664dd1030 | [] | no_license | numjax/pytestproject | b1f944d284ce634ee22d17ac5d5d466c1794b6e5 | 4525e8120c886cbcf8c428dfafc3473ebbe2ac2f | refs/heads/main | 2023-03-22T13:42:05.461325 | 2021-03-22T13:18:34 | 2021-03-22T13:18:34 | 336,371,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | # - *- coding: utf- 8 - *-
# 높이 n개의 계단을 올라가는 방법을 리턴한다
def staircase(stairs, possible_steps):
cnt = [1,1]
for height in range(2,stairs+1):
cnt.append(0)
for step in possible_steps:
if height - step >= 0:
cnt[height] += cnt[height-step]
return cnt[stairs]
... | [
"ygwon@hicoamerica.com"
] | ygwon@hicoamerica.com |
94d283fafd1dbc22672c8a7556432d34e09c8f00 | 405f8aefacaaa622910cb3a7ecb9158d522dc8d9 | /home/views.py | 6e51f2609ba8779210aa5df00d5b6f74b4f22303 | [] | no_license | khangdpham/ufriend | e356d022a0daeae53325e75ff1a6cd623a693ca3 | e3f7a7f0929b36e41060ec87dc5959218d9e9e64 | refs/heads/master | 2021-01-25T03:19:51.351582 | 2015-01-17T23:14:53 | 2015-01-17T23:14:53 | 28,940,507 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | from django.shortcuts import render,render_to_response
from django.template import RequestContext
from django.contrib.auth import authenticate, login as auth_login
def index(request):
username = request.user
context = {'state':'','username':username, }
return render_to_response('home/index.html',
context,
conte... | [
"kpham@NA-SD-L-021653.entropic-communications.com"
] | kpham@NA-SD-L-021653.entropic-communications.com |
959aa45f9b812fef5ce1dd115db4b6d4fbdda4c8 | fd058df194deb5d300b1d86baa725b14269bbeb5 | /dc_tts/train.py | e4a3cbb438c8cc0d330b14672a36fabbbdbb5cbb | [] | no_license | psmaster1/voice-cloning-AI | b0d6cc45f57aa9712c43c8359dfea97f6288da71 | 13ac4f3ce5d538de9e90df749d7b12504a9dbf9e | refs/heads/master | 2023-02-26T01:47:48.798199 | 2021-01-29T15:24:38 | 2021-01-29T15:24:38 | 334,154,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,154 | py | # -*- coding: utf-8 -*-
# /usr/bin/python2
'''
By kyubyong park. kbpark.linguist@gmail.com.
https://www.github.com/kyubyong/css10
'''
from __future__ import print_function
from tqdm import tqdm
from data_load import get_batch, load_vocab
from hyperparams import Hyperparams as hp
from modules import *
from networks ... | [
"patriksteinkellner@hotmail.com"
] | patriksteinkellner@hotmail.com |
0c64319d4b22ac9fcd813f02a4b038fd2894fb06 | d61183674ed7de0de626490cfba77d67c298d1be | /py_scripts/bench_plot_lasso_path_63.py | fe9f6bc621d038bca5caf96b8eede3fd982255b9 | [] | no_license | Giannos-G/python_dataset | bc670a53143d92cf781e88dee608da38b0e63886 | 18e24cbef16ada1003a3e15a2ed2a3f995f25e46 | refs/heads/main | 2023-07-25T20:24:31.988271 | 2021-09-09T10:31:41 | 2021-09-09T10:31:41 | 363,489,911 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,978 | py | """Benchmarks of Lasso regularization path computation using Lars and CD
The input data is mostly low rank but is a fat infinite tail.
"""
from collections import defaultdict
import gc
import sys
from time import time
import numpy as np
from sklearn.linear_model import lars_path, lars_path_gram
from sklearn.linear_m... | [
"giannos.gavrielides@gmail.com"
] | giannos.gavrielides@gmail.com |
27a3e0d3c60ec1fc09deb3b837285e09d0373c5c | 380a47268c5975473a2e7c38c747bc3bdbd981b1 | /benchmark/third_party/transformers/src/transformers/models/swinv2/configuration_swinv2.py | ffffcd12aff0cda9d890cf0c52350bde1c406755 | [
"Apache-2.0"
] | permissive | FMInference/FlexGen | 07aa9b1918c19b02077e13ad07e76840843810dd | d34f7b4b43ed87a374f394b0535ed685af66197b | refs/heads/main | 2023-07-24T02:29:51.179817 | 2023-07-21T22:38:31 | 2023-07-21T22:38:31 | 602,270,517 | 6,821 | 411 | Apache-2.0 | 2023-07-07T22:59:24 | 2023-02-15T21:18:53 | Python | UTF-8 | Python | false | false | 6,527 | py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. 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 r... | [
"sqy1415@gmail.com"
] | sqy1415@gmail.com |
485abb26fc966ba78f33c76c6f1f29b9e2cba8bf | d73fcd03fc4d3c32125c4758e9df8e6f06aa0f52 | /app/models.py | ca9da4920b75505e23a3e3e35dc754b3e884fbe7 | [] | no_license | MatthewBieda/Flask-Test | 85401f17736a7153bfd94b1cf947718ea24ec253 | 5ac4551b6b52104936d5584acae56560268883e4 | refs/heads/main | 2023-03-23T21:20:28.236304 | 2021-03-23T00:40:07 | 2021-03-23T00:40:07 | 349,139,963 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,540 | py | from datetime import datetime
from app import db, login
from werkzeug.security import generate_password_hash, check_password_hash
from flask_login import UserMixin
from hashlib import md5
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64),... | [
"noreply@github.com"
] | noreply@github.com |
b82ccee145ebd095401f6c9f1af83e0c3e93e9b4 | dadb3f24a26c87c40f968141f2a5ec539cca1f0d | /data/model.py | 57dad64e6fa11e17a11eb24c7c0c717140f5bee4 | [
"MIT"
] | permissive | muthzzz/copbot | 84043f697776481dfd52565b5e1de6341cf2279b | 6091be5977620e74821ba1cacea97ef916e34836 | refs/heads/main | 2023-02-20T16:50:46.376208 | 2021-01-23T10:26:31 | 2021-01-23T10:26:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,880 | py | import json
class Change:
def __init__(self,idGrup, nomer=None,switchInt=0, maxint=0,nsfw=0):
self.grupID = idGrup
self.nomer = nomer
self.switchV = switchInt
self.maxint = maxint
self.data = json.loads(open("data/toxic.json","r").read())
self.nsfw = nsfw
def Tamb... | [
"noreply@github.com"
] | noreply@github.com |
f2b783154317179a2e644b7131c949a990462249 | 5a55d61e373f15d8b2e225bf8a78151871090e34 | /led.py | ea733cada80b071f5b01cce18672e44b8758131b | [] | no_license | samahe/Graduation_project | cce6e6c7eb69e06829ce0d46cd3963a6117ad190 | db63b027c6f51f126477087dd46407ca48f33fd3 | refs/heads/master | 2021-06-18T20:25:31.628725 | 2017-06-27T04:44:50 | 2017-06-27T04:44:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(5,GPIO.OUT)
while True:
GPIO.output(5,True)
time.sleep(0.5)
GPIO.output(5,False)
time.sleep(0.5)
| [
"blacklight070@gmail.com"
] | blacklight070@gmail.com |
23b252e6ee63d6d3b6df1e5bdd70009f8fab68b3 | bc9f989f3bda07111c292c68ff0aa9c690131ae7 | /tensorflow_action/convnet/demo1.py | 69281b770f99b77a55de8eb91f6d93c08fdf33e6 | [
"MIT"
] | permissive | MusixNotMusic/tensorflow | ca7a367ac7b2c337abbc4d70f51b5ed718246e5a | 984e61b15b7de4039f646c98206633d5947a123f | refs/heads/master | 2023-01-12T02:13:10.751910 | 2020-11-08T10:06:48 | 2020-11-08T10:06:48 | 307,018,653 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,210 | py | import tensorflow as tf
mnist = tf.keras.datasets.fashion_mnist
layers = tf.keras.layers
to_categorical = tf.keras.utils.to_categorical
model = tf.keras.models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
model.add(layers.MaxPooling2D(2, 2))
model.add(layers.Conv2D(64,... | [
"279601306@qq.com"
] | 279601306@qq.com |
9e1560b2812abeec192b2cfc000d4c183fc89347 | 541a260b89bcef917a7df4f0bc35ee1da3ead3cc | /bin/easy_install-2.7 | d4f80d506d2b2495cf7dd62b11a8da180335555b | [] | no_license | aprilmao/Twilio_SMS | a7ed12166d28b253fc0032a4a73f965a7015bb14 | 0f8b5a249464583f2a4109bdb986ad15704db49a | refs/heads/master | 2021-05-05T14:49:00.554241 | 2018-01-22T18:17:27 | 2018-01-22T19:27:16 | 118,505,110 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | 7 | #!/Users/brianwichers/my_tutorial_folder/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"aprilmao129@gmail.com"
] | aprilmao129@gmail.com |
0d135afb151d5b8af4609f2fc15eb6742233e061 | 137b2c3ec0e93891cce799258d3195c3d5efc15f | /python/PyXMLTree/src/xml/tools/fapiDebugCppGen.py | 854d19905f26a22e2824b9e40fab5693562a757e | [] | no_license | TaburisSAMA/lynproject | 81582253466909e476ad7ee74dc9f59481757091 | 3707e611e87173d4ad43878383407a8a4bfdbad0 | refs/heads/master | 2021-01-21T13:49:01.000403 | 2015-02-27T10:29:33 | 2015-02-27T10:29:33 | 31,414,440 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,583 | py | ###############################################################################
# INTEL CONFIDENTIAL
#
# Copyright 2001 - 2003 Intel Corporation All Rights Reserved.
#
# The source code contained or described herein and all documents related to
# the source code ("Material") are owned by Intel Corporation or its suppli... | [
"taburissama@gmail.com"
] | taburissama@gmail.com |
afc681c375368f6eb304e34f5b8467c467624142 | c86f740b339cceca97aecb44c4565b4a7df8b59b | /controller/advanced/generator.py | b1faecb448189043d70f21d7fc264f29092a996a | [] | no_license | xtyghost/python_helloworld | b3cc8eb495e310956defd075d6e1375e434181a2 | ea7dd184790b799351878d2a6dacc358320e4577 | refs/heads/master | 2020-06-23T14:10:06.592193 | 2019-12-27T08:30:17 | 2019-12-27T08:30:17 | 198,645,603 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | def fib(max):
n, a, b = 0, 0, 1
while n < max:
yield b
a, b = b, a + b
n += 1
return 'done'
g = fib(6)
print(next(g))
while True:
try:
x = next(g)
print('g==%d' % x)
except StopIteration as e:
print("generator return value:", e.value)
break
... | [
"xtyghost@163.com"
] | xtyghost@163.com |
749ece80d893bdc2f5f4141656a253e4fcdc2241 | 447c51f9b137b0dfbdd20582ba7016442b0ed7a7 | /app.py | 625909ec4dd0a23ead460693035a6464176ea21a | [] | no_license | ramsrigouthamg/Bart_T5-summarization | c6693a9a8e6dcf858da75edbef8d8320abafd431 | 32ab4fc6faa7059c11740103230f7e603d0002d6 | refs/heads/master | 2022-04-15T07:41:49.451591 | 2020-04-02T16:17:46 | 2020-04-02T16:17:46 | 255,338,847 | 5 | 3 | null | 2020-04-13T13:43:01 | 2020-04-13T13:43:00 | null | UTF-8 | Python | false | false | 3,737 | py | # import config
import torch
import flask
from flask import Flask, request, render_template
import json
from transformers import BartTokenizer, BartForConditionalGeneration, BartConfig
from transformers import T5Tokenizer, T5ForConditionalGeneration, T5Config
BART_PATH = 'bart-large'
T5_PATH = 't5-base'
# BART_PATH = ... | [
"renato@MacBook-Pro.local"
] | renato@MacBook-Pro.local |
a202bb03333fab8ba3efa5101b16b16623e63086 | 3f99bd16f3a309600c712fa6349ded3153da8f58 | /No Numerals.py | 6358028462134c3c046c76dfdd5d35478ef604c1 | [] | no_license | Oussama1403/SololearnChallenges | e6d93e097757d602692487a5546523178ea88066 | 3e3acbe5ed438356e39df284a6eea127d886e9c6 | refs/heads/main | 2023-07-14T06:34:50.163427 | 2021-08-05T22:25:21 | 2021-08-05T22:25:21 | 393,184,082 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | x = input()
dic = {
"10": "ten",
"0": "zero",
"1": "one",
"2": "two",
"3": "three",
"4": "four",
"5": "five",
"6": "six",
"7": "seven",
"8": "eight",
"9": "nine",
}
for key, value in dic.items():
x = x.replace(key, value)
print(x)
| [
"noreply@github.com"
] | noreply@github.com |
065957dd95b11639e0b97936b64f95476c7ab479 | 4b8584c4b39b92af68b7d60c71d512c1188c4813 | /SRSYS/SRSYS/login.py | 73ce9bf5266fb892c2310c9e73cd3bc101d6544b | [] | no_license | SRSYS/SRSYSCODE | 96f24f71346640c9aeaa38d351bfbaad2a8faed9 | 550faf82e32b7bb231959a7094b96fb89b109d01 | refs/heads/master | 2021-01-16T21:24:41.265589 | 2019-10-29T06:42:23 | 2019-10-29T06:42:23 | 100,229,477 | 0 | 2 | null | 2017-08-31T16:31:23 | 2017-08-14T04:56:12 | HTML | UTF-8 | Python | false | false | 1,939 | py | # -*- coding: utf-8 -*-
from django.shortcuts import render
from django.views.decorators import csrf
from Mysqldb.models import Score_Graph
from Mysqldb.models import IMG
from DjangoVerifyCode import Code
# 接收 Login 请求
def Login(request):
ctx ={}
#广告读取
Datebase_Advert_Return_1=IMG.objects.filter(Advert_N... | [
"mypythonmydream4"
] | mypythonmydream4 |
bcffef394a5e3b619207fe882194106048e4050a | 2b0cc9bcf431954d81c639d1acf756f529de51a5 | /mmdet/models/decision_net/env.py | c9dc2e1ea24b5f7101d5130ca84b382700a43cfe | [
"Apache-2.0"
] | permissive | ruyueshuo/MaskTrackRCNN | 220d91844cc7c3c5dc37a87deb6ab033a82ef433 | 3c6ada36be3c2b2df32176349ec5c0ee5b24e724 | refs/heads/master | 2020-09-24T12:14:37.474432 | 2020-03-30T01:03:12 | 2020-03-30T01:03:12 | 225,757,574 | 1 | 0 | Apache-2.0 | 2019-12-04T02:05:25 | 2019-12-04T02:05:24 | null | UTF-8 | Python | false | false | 11,293 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/1/14 下午1:38
# @Author : FengDa
# @File : env.py
# @Software: PyCharm
import os
import random
import traceback
import json
from queue import Queue
import numpy as np
import torch
import torch.nn as nn
import torchvision.models as models
import copy
imp... | [
"fengda985@163.com"
] | fengda985@163.com |
23abd743b633c7b8458b27739841a809c55e80cd | 581fab8785ba40aa81a0d8b73355bf1089d1fa91 | /project1/Task1.py | 3ab45b1a3a5ad1f345badd82c78b69a0cfbb4f83 | [] | no_license | ibrohimkhan/dsaa_projects | 0659cbefdd21b67c1aacd1d12324268d2e05c7e0 | 6b9a9590fd1d7743776f8377dc31ac87061e0600 | refs/heads/master | 2023-01-20T03:01:30.177827 | 2020-11-26T20:08:26 | 2020-11-26T20:08:26 | 291,507,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 675 | py | """
Read file into texts and calls.
It's ok if you don't understand how to read files.
"""
import csv
with open('texts.csv', 'r') as f:
reader = csv.reader(f)
texts = list(reader)
with open('calls.csv', 'r') as f:
reader = csv.reader(f)
calls = list(reader)
"""
TASK 1:
How many different telephone nu... | [
"ibrohimkhan@gmail.com"
] | ibrohimkhan@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.