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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9a361f6a29904367c1778a30cee084b9bef68ac5 | 7738f409d5b77f3e5b5c05c99161f8c32fa282df | /inksculpt/src/accounts/tests.py | 9829fd90fd1dd247514ff8a032fd78fc796ef7c7 | [] | no_license | rishivamshi/inksculpt | f5384816d4a87bd1e0f46d82f14839f54cc53b36 | 1df6afe40d13e9db0fb3c096fd7364013990441a | refs/heads/master | 2020-03-12T11:05:07.083412 | 2018-08-04T17:10:49 | 2018-08-04T17:10:49 | 130,588,228 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 556 | py | from django.contrib.auth import get_user_model
from django.test import TestCase
# Create your tests here.
from .models import UserProfile
User = get_user_model()
class UserProfileTestCase(TestCase):
def setUp(self):
self.username = "Some_USer"
new_user = User.objects.create(username = self.username)
def tes... | [
"rishivamshi0079@gmail.com"
] | rishivamshi0079@gmail.com |
0acfaee2a19dd42351019acacada350f2ece6f31 | fbe2c3b1feb69a5ce019c805594a49dc11c7e463 | /astrality/tests/module/module_manager/test_persisting_created_files.py | c7cf4305b01e387d33b1c69a69fdc1345d8fd310 | [
"MIT"
] | permissive | JakobGM/astrality | 50630a26ef6428a0c1376269d71ddaa52912f374 | 72935b616f9a6a2e9254e9cd9319b525c596e8f0 | refs/heads/master | 2023-01-07T20:26:05.925893 | 2019-11-19T10:15:36 | 2019-11-19T10:15:36 | 117,895,437 | 114 | 7 | MIT | 2022-12-26T20:49:19 | 2018-01-17T21:34:33 | Python | UTF-8 | Python | false | false | 2,518 | py | """Tests for ensuring that all files that are created are persisted."""
import pytest
from astrality.module import ModuleManager
from astrality.persistence import CreatedFiles
@pytest.mark.parametrize('method', ['compile', 'copy', 'symlink'])
def test_that_created_files_are_persisted(method, create_temp_files):
... | [
"jakobgm@gmail.com"
] | jakobgm@gmail.com |
39222f55b34c02a94b87c3e7b29aed733706e2e9 | 2e3161076fd51d2e6a566653dbbd2058a8deda9c | /tests/conftest.py | 5f333366b3b9f33007be9c6dc721a408527242a9 | [
"MIT"
] | permissive | stainbank/simulocloud | c2053d7a22b00bcf31e4455d9ec883cc9af396ea | 9667be8d2eef3500ad6bfdc76199d432bbcd0286 | refs/heads/master | 2021-01-14T08:24:18.664656 | 2017-07-24T18:29:45 | 2017-07-24T18:29:45 | 81,957,253 | 2 | 2 | null | 2017-06-13T16:41:36 | 2017-02-14T15:06:51 | Python | UTF-8 | Python | false | false | 509 | py | import pytest
import simulocloud.pointcloud
import simulocloud.tiles
import os
def abspath(fname, fdir='data'):
"""Return the absolute filepath of filename in (relative) directory."""
return os.path.join(os.path.dirname(__file__), fdir, fname)
@pytest.fixture(params=[simulocloud.pointcloud.PointCloud,
... | [
"chad.stainbank@gmail.com"
] | chad.stainbank@gmail.com |
7aab2e3a7a8b6e480f08228eebb6b13b48a4c092 | 66d92dcbe29dcbed7e159ee981828f272bfd5fe3 | /Full Stack/day60Django/函数版根据不同的路径返回不同的内容.py | 2d6bd40b329af9a60f59d0bacee245a335146c4a | [] | no_license | bagaki/Python | 0f8e292aec3c33b8db94d75453f3a801712536be | cb7655ec58a997bbacf0480cffd9e72de26228ae | refs/heads/master | 2021-05-16T16:40:27.083456 | 2018-10-13T03:08:40 | 2018-10-13T03:08:40 | 119,954,736 | 0 | 0 | null | 2018-02-03T02:32:43 | 2018-02-02T08:30:19 | Python | UTF-8 | Python | false | false | 1,113 | py | """
完善的web服务端示例
函数版根据不同的路径返回不同的内容
进阶函数版，不写if判断了，用url名字去找对应的函数名
"""
import socket
sk = socket.socket()
sk.bind(("127.0.0.1", 8080))
sk.listen(4)
# 定义一个处理/bagaki/的函数
def bagaki(url):
ret = 'Hello, {}'.format(url)
return bytes(ret, encoding="utf-8")
def tomoya(url):
ret = 'Hello, {}... | [
"noreply@github.com"
] | bagaki.noreply@github.com |
27175455b13f7f9029aeb649eab51391f2080bbf | 6be8aa517e679b33b47d35f100e6590902a8a1db | /Math/Problem05.py | bd5e99bc0820fd1c4d6b55798e43ebf0508f2baa | [] | no_license | LeeJuhae/Algorithm-Python | 7ca4762712e5e84d1e277abecb3bf39c9cbd4e56 | 729947b4428205adfbac194a5527b0eeafe1c525 | refs/heads/master | 2023-04-24T01:02:36.430970 | 2021-05-23T07:17:25 | 2021-05-23T07:17:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,075 | py | # https://www.acmicpc.net/problem/1722
import sys
read = sys.stdin.readline
n = int(read().strip())
cmd = list(map(int, read().strip().split()))
cmd[0] -= 1
fact = [-1 for _ in range(21)]
fact[0] = 1
for i in range(1, 21):
fact[i] = fact[i - 1] * i
def go(d, ans):
global k, arr, fact
if d == n:
... | [
"gusdn0657@gmail.com"
] | gusdn0657@gmail.com |
b1774b3c31bf555336b3c8a6b628d33cc2e48183 | b1bbfe2fa31d761d6a4658b022d344b5a0cb7dd8 | /75-sort_colors.py | 39f61b067e0807986b4de21cc9e0a9d6910a26bb | [] | no_license | stevestar888/leetcode-problems | f5917efc3516f8e40d5143b4dc10583c1e22dabd | 844f502da4d6fb9cd69cf0a1ef71da3385a4d2b4 | refs/heads/master | 2022-11-12T05:01:02.794246 | 2022-10-28T16:45:48 | 2022-10-28T16:45:48 | 248,663,356 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,384 | py | class Solution(object):
"""
Two-pass algorithm using counting sort. First, iterate the array counting number of 0's, 1's, and 2's,
then overwrite array with total number of 0's, then 1's and followed by 2's.
TODO: can be done in place
Runtime: 12 ms, faster than 99.10% of Python online submis... | [
"weareallhalfminotaur@gmail.com"
] | weareallhalfminotaur@gmail.com |
c65381eabc7b6d43ed0b44838ef96d25e0eb2cd4 | 0c5b9ebee22450c214576f18929436527b26a1b0 | /starfish/core/morphology/Merge/test/test_simple.py | f5e8ab5623aa77a99afea463b53830f01dce2371 | [
"MIT"
] | permissive | spacetx/starfish | 962b4e4a8c0c193acaa84c016a6edaef76c14769 | 853f56c7c02b15397adb921db5e3bde02fdadb63 | refs/heads/master | 2023-03-09T13:51:30.772904 | 2022-09-06T22:16:25 | 2022-09-06T22:16:25 | 92,539,237 | 211 | 75 | MIT | 2023-02-11T01:52:25 | 2017-05-26T18:45:11 | Python | UTF-8 | Python | false | false | 3,186 | py | import numpy as np
import pytest
from starfish.core.morphology.binary_mask import BinaryMaskCollection
from starfish.core.morphology.binary_mask.test.factories import (
binary_arrays_2d,
binary_mask_collection_2d,
binary_mask_collection_3d,
)
from starfish.core.morphology.util import _ticks_equal
from star... | [
"noreply@github.com"
] | spacetx.noreply@github.com |
1617621ce2482392b966b388185db6166724db0b | 010be098dbda518d2f687a1f7ec96ea8b92d6676 | /skiliobackup_13012021/skiliobackup_13012021/skilio.py | 7f9f7b0ed4b29078408a87afcf4ea114c64b0d9d | [] | no_license | chunyikam/python-getting-started | 20afb5b82ee264fc1a925e737656f33b17cd59b1 | fc34769f1bbe4d640aa77894acd4ad4bd5832145 | refs/heads/main | 2023-02-14T13:27:53.161752 | 2021-01-15T17:10:49 | 2021-01-15T17:10:49 | 330,313,095 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53,673 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 11 23:41:50 2020
this is the main codes for production
@author: chuny
"""
import enchant
import pandas as pd
import nltk
import os
import re
import numpy as np
import datetime
import json
from nltk.corpus import wordnet, words
#from dateutil.parser import parse
from ... | [
"chunyikam@hotmail.com"
] | chunyikam@hotmail.com |
97010012d18266225ed355f66a4e4daa96d085fb | 49c715a71da32472e078be32c46ffe2c7315d253 | /kontrollrommet_website/core_database/apps.py | 1642077eebf1bab6106dfd521c635f2e7b2a951a | [] | no_license | janicheen/KontrollrommetBETA | aaddc92a3b58ecb2bbed5e0e79f7d3b461fe79e4 | 00a78e5ca8079beb327ceacd7fb4a02a9011ca06 | refs/heads/master | 2020-06-24T13:57:57.848532 | 2017-07-07T23:47:47 | 2017-07-07T23:47:47 | 96,937,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 165 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class CoreDatabaseConfig(AppConfig):
name = 'core_database'
| [
"janic@online.no"
] | janic@online.no |
c3c7fee96a70c240b082b8855cb2a984acada6b2 | 3f845a1df057d5112fa1ebb0670011893bc303ea | /source/graphs.py | 217aa12cfa0be77f781df1dce9429e94006bf1d5 | [] | no_license | vashukovdanil/csv-analyzer | 87a71333c31ab48525ad26a90fcc2c6fa8d1a768 | c4329d49e9eb7d2b7b7b410ca34737e47c430195 | refs/heads/main | 2023-04-07T17:48:40.283494 | 2021-04-15T08:35:01 | 2021-04-15T08:35:01 | 328,407,831 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,588 | py | import matplotlib.pyplot as plt
import pandas as pd
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import *
from notifications import NotificationWindow
class Graph(QWidget):
def __init__(self, df):
super().__init__()
self.counter = 0
df = df.reset_index()
df = df.i... | [
"noreply@github.com"
] | vashukovdanil.noreply@github.com |
ffb833c28c34a881a69690609dc871509ab860cb | d508d639b8fb9e2983fba5b92751f1e3fa0242c2 | /testing/preprocessing.py | a8c76159db3bdb97c70d8e61c4f466bd94568f04 | [] | no_license | dawoodaijaz97/house_price | 07fcbdeff0ad9c76c06b22fbb86d0df1c7108f09 | 8f4c463df47af4f44d232c33f4fa8e6ce350e555 | refs/heads/master | 2022-12-25T14:33:52.840515 | 2020-10-06T13:31:03 | 2020-10-06T13:31:03 | 297,949,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,283 | py | import pandas as pd
import numpy as np
from sklearn.impute import SimpleImputer
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.feature_selection import VarianceThreshold,chi2,mutual_info_regression,f_regression
from sklearn.ensemble import RandomFor... | [
"dawood.aijaz97@gmail.com"
] | dawood.aijaz97@gmail.com |
a200e9d36c10f3ee3b9f548db4f30482082df07a | 54052141808b99326f2f727af290fb8f4b75ab50 | /standbylist/api/migrations/0001_initial.py | 40d60598a16840deacc8feacb2cb784aa623e1d9 | [] | no_license | dina-shoham/vaccine-standby-list | 6174589454d9e57d78ebe10644cc2fd1dd6af132 | bdffe0ba801e537f1885dde511f1c14b4f28d0ce | refs/heads/main | 2023-02-27T14:48:37.459843 | 2021-01-31T09:21:47 | 2021-01-31T09:21:47 | 334,307,634 | 2 | 0 | null | 2021-01-30T02:18:31 | 2021-01-30T02:04:48 | Python | UTF-8 | Python | false | false | 4,105 | py | # Generated by Django 3.1.5 on 2021-01-30 15:14
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Address',
fields=[
... | [
"alena.midgen@gmail.com"
] | alena.midgen@gmail.com |
1a6e9a08eff0dc4e0a359428d496bdc5132b8c65 | a7928a1e28c217db4e8c9f803b4b506fa3ab6f7d | /4.py | 0e9db9d0b1894f5e2d285bee7dd14624b08f1816 | [] | no_license | Dunaev-Al/2homework | 54b01eed100d7b5a20463a88908c83ceb86a2b90 | 20ec1d301555c0cb8381b888c5c7409b5caa8f3f | refs/heads/dev | 2022-12-13T22:44:04.789222 | 2020-09-01T00:31:32 | 2020-09-01T00:31:32 | 291,854,261 | 0 | 0 | null | 2020-09-01T00:33:15 | 2020-09-01T00:21:53 | Python | UTF-8 | Python | false | false | 312 | py | user_string = input('Введите строку: ')
words_list = user_string.split()
for index in range(0, len(words_list)):
if len(words_list[index]) >= 10:
print((int(index) + 1), 'слово: ', words_list[index][:10])
else:
print((int(index) + 1), 'слово: ', words_list[index])
| [
"dunaev1999@gmail.com"
] | dunaev1999@gmail.com |
029ba25a2e27f6afb94c50f982c6f3a1657fc19f | 852dac5a9531fffe6b532a1f3e40ce7f61e114b9 | /main/utilities.py | 91cc832dc7f3210e093329db6094eaa3f9335ffc | [] | no_license | Banananick19/CompGeek_product | 8b074f9d02fe27d5498556a9a7367904d1dad9a2 | f046987aa8f93f0e9fb2cc0b22e041d5b96e9461 | refs/heads/main | 2023-02-06T04:54:43.654431 | 2020-12-26T07:24:45 | 2020-12-26T07:24:45 | 310,645,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,073 | py | from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
def transliterate(string):
# Слоаврь с заменами
slovar = {'а': 'a', 'б': 'b', 'в': 'v', 'г': 'g', 'д': 'd', 'е': 'e', 'ё': 'e',
'ж': 'zh', 'з': 'z', 'и': 'i', 'й': 'i', 'к': 'k', 'л': 'l', 'м': 'm', 'н': 'n',
'... | [
"banananick19@mail.ru"
] | banananick19@mail.ru |
ae35e52e9c23e00a1c10ee7737736ae3d9e9d719 | aef7ea4afcd417fec8b861df5865bf93c4b9fcde | /startFundraiser/apps.py | bfa3b068bb2993f8a9b17c0ddcb6def33e8a0153 | [] | no_license | shiva-01/icebreaker--ASE-pro | 9ee1c7c6d7559345491da5e12b875d08b07c007b | 746f4a8a248738a851fafe96378bb0d55321ce15 | refs/heads/master | 2022-12-09T08:45:08.131927 | 2019-01-22T13:42:26 | 2019-01-22T13:42:26 | 166,686,914 | 1 | 0 | null | 2022-12-08T01:21:08 | 2019-01-20T17:06:47 | CSS | UTF-8 | Python | false | false | 110 | py | from django.apps import AppConfig
class StartfundraiserConfig(AppConfig):
name = 'startFundraiser'
| [
"ruthala.charan512@gmail.com"
] | ruthala.charan512@gmail.com |
ec51a2c268481d48cc82a004658d99ace07708a4 | 6610e8b7d715d28df179217b0222b6a74d7b01f3 | /Contents/Libraries/Shared/omdb/api.py | e7c5f60a9f295f608c0cf9f27a8d959315e9eca3 | [] | no_license | BigmIkeX/FMoviesPlus.bundle | f479b96dabbda8a70944a7c44717a9b7a6abc5c0 | 7789e6137df8a86f6c9f9a78fc478ab89696e3d0 | refs/heads/master | 2020-05-22T09:39:12.049063 | 2019-05-09T20:54:25 | 2019-05-09T20:54:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,242 | py | """Public interface for omdb module
Accessible via:
import omdb
"""
from .client import Client
# Internal client instance used for our requests.
_client = Client()
def set_default(key, default):
"""Proxy method to internal client instance that sets default params
values.
"""
_client.set_defaul... | [
"coderalphaakv@gmail.com"
] | coderalphaakv@gmail.com |
476ccba49a18e2d3356d794c26547cdac706b13b | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2344/60581/246336.py | 5e8a23f13ab4797d8c3277856fd1dc425e03eb8f | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,584 | py | import sys
lst = []
for line in sys.stdin:
if line.strip()=="":
break
lst.append(line)
input = []
#读入处理
for i in range(0,len(lst)):
theLine = []
j = 0
while j < len(lst[i]):
str = ''
judgeWord = False
judgeNumber = False
if lst[i][j]>='A' and lst[i][j]<='Z':... | [
"1069583789@qq.com"
] | 1069583789@qq.com |
5fa09d85ca3a76dd3177ccf4c3898666849740b5 | a595f0f6db3fff200eb22942032afc666720dac5 | /utils.py | f49aa1fe8464418c3f5cc65c105f988246638f20 | [
"Apache-2.0"
] | permissive | gouthamgopal/Boggins | e4d46a9c578c76b827350a65544e36290392fabf | f539be0081b34e579b35379484a1ac44c0936224 | refs/heads/master | 2020-12-05T03:23:28.807233 | 2020-01-06T00:51:18 | 2020-01-06T00:51:18 | 231,996,528 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,609 | py | import matplotlib.pyplot as plt
import numpy as np
from scipy.misc import imread, imresize
import tensorflow as tf
from config import *
def sample_images(batch_size, high_resolution_shape, low_resolution_shape):
"""
:param data_dir:
:param batch_size:
:param high_resolution_shape:
:param low_reso... | [
"goutham.gopal94@gmail.com"
] | goutham.gopal94@gmail.com |
4a91e102ba4c2afba9483d90b46fba0026049ae4 | 734f75346781f85d6194dca1ecabef167a5b2492 | /hello_world.py | cc7ffb8f558527a3e09de281d09d2dcf61b6dbc2 | [] | no_license | Kaduki/test | 2db7b63c1972cba28bf1ccc841fa22c2ec82f529 | 1fd4aad4a20aa1d86fd5a8cb329017e8a36f80c5 | refs/heads/master | 2016-09-05T11:47:44.419403 | 2015-07-01T06:50:20 | 2015-07-01T06:50:20 | 30,430,637 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 32 | py | print "hello world!!! from GIT"
| [
"kkaito@ncsu.edu"
] | kkaito@ncsu.edu |
4a4a23e8b49a1a9d7382bc7f3f23df345aef6af1 | 2d5cc685fd861c16a44e6578dff659bc197d44f8 | /ioflo/aid/__init__.py | bc7963f4557e7b278b7b88d81bcbd4bb25ffcb27 | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | dreamerparadise/ioflo | b642e3325760d124c8c608cefd3fb23c408785ff | 177ac656d7c4ff801aebb0d8b401db365a5248ce | refs/heads/master | 2023-04-03T04:05:24.934544 | 2020-11-19T22:07:49 | 2020-11-19T22:07:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | """
aid package
helper and utility modules
"""
# frequent imports
from .odicting import odict, lodict, modict
from .osetting import oset
from .consoling import getConsole
| [
"smith.samuel.m@gmail.com"
] | smith.samuel.m@gmail.com |
2c38e8e0d9f2d53815bc0ffa9317b1fc3ddc5c28 | 422dd5d3c48a608b093cbfa92085e95a105a5752 | /students/mayc4t/lesson07_part1/main.py | d4c9f40e78e3c5ebff1ac85e856174740bc336f5 | [] | no_license | UWPCE-PythonCert-ClassRepos/SP_Online_Course2_2018 | a2052fdecd187d7dd6dbe6f1387b4f7341623e93 | b1fea0309b3495b3e1dc167d7029bc9e4b6f00f1 | refs/heads/master | 2021-06-07T09:06:21.100330 | 2019-11-08T23:42:42 | 2019-11-08T23:42:42 | 130,731,872 | 4 | 70 | null | 2021-06-01T22:29:19 | 2018-04-23T17:24:22 | Python | UTF-8 | Python | false | false | 5,389 | py | """
Learning persistence with Peewee and sqlite
delete the database to start over
(but running this program does not require it)
"""
import logging
from model import *
def add_people(database, logger):
logger.info('Working with Person class')
logger.info('Note how I use constants and a list of ... | [
"lily12A@gmail.com"
] | lily12A@gmail.com |
2b33833a0acfaa0271ed33e0c5d3d81912b5fdc9 | 7c17817f898ef8e3d111adaf862cbaf73f40deee | /cleansing/relevant_bids_reviews_clean.py | c8dec2d9f0474d4c44849c5387c5da64718100ce | [] | no_license | navitgaur/Yelp-Restaurant-Classification-Using-Customer-Reviews | 5dbe8d8d4aa68ed52f4cd312830efa9534b0f8ed | db5b50f6c90e6cbed19d72e83b9e6f87b6e0537b | refs/heads/master | 2021-01-17T17:39:15.061956 | 2017-02-24T06:49:55 | 2017-02-24T06:49:55 | 83,010,254 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,462 | py | import json
from nltk.corpus import stopwords
import re
source_dir = '/home/svadhera/Documents/yelp_dataset_challenge_academic_dataset/original_data/'
target_dir = source_dir + 'processed/'
filename = 'relevant_business_ids_and_reviews.json'
# stop words taken from nltk library
stop_words = set(stopwords.words("engli... | [
"navit.gaur@sjsu.edu"
] | navit.gaur@sjsu.edu |
ffe97045bece4d6418b1a094edc6c0a0c614dc18 | 184bb71da393efca8d5d3d5098eeca9ae00496ba | /VDAO_Access/Annotation.py | 379a3984161b84d6f0e23ec9cc33890eaee68f9e | [] | no_license | wesleylp/DeepLearning-VDAO | c2120ed1c754d02fd26dff84ad72b4f352064674 | 872acab600aec6d53db3977da0d14229a8d8ee3c | refs/heads/master | 2020-03-19T08:33:25.598005 | 2018-08-20T18:06:08 | 2018-08-20T18:06:08 | 136,214,152 | 2 | 0 | null | 2018-06-05T17:48:22 | 2018-06-05T17:48:22 | null | UTF-8 | Python | false | false | 5,678 | py | import os
import utils
import sys
class Annotation:
"""
This class represents a .txt file containing the labels and bounding
boxes of objects in a given video.
Developed by: Rafael Padilla
SMT - Signal Multimedia and Telecommunications Lab
COPPE - Universidade Federal do Rio de Janei... | [
"rafael.padilla@smt.ufrj.br"
] | rafael.padilla@smt.ufrj.br |
eb86106a321ead443d3fef7263cc6bf014b7c342 | ec0b8bfe19b03e9c3bb13d9cfa9bd328fb9ca3f1 | /res/packages/scripts/scripts/client/gui/shared/utils/requesters/IntSettingsRequester.py | 5167f471034e02e31839cd698900e678c4a0e863 | [] | no_license | webiumsk/WOT-0.9.20.0 | de3d7441c5d442f085c47a89fa58a83f1cd783f2 | 811cb4e1bca271372a1d837a268b6e0e915368bc | refs/heads/master | 2021-01-20T22:11:45.505844 | 2017-08-29T20:11:38 | 2017-08-29T20:11:38 | 101,803,045 | 0 | 1 | null | null | null | null | WINDOWS-1250 | Python | false | false | 4,446 | py | # 2017.08.29 21:50:18 Střední Evropa (letní čas)
# Embedded file name: scripts/client/gui/shared/utils/requesters/IntSettingsRequester.py
import BigWorld
import copy
import constants
from adisp import async, process
from debug_utils import LOG_ERROR, LOG_WARNING
from gui.shared.utils import code2str
class IntSettingsR... | [
"info@webium.sk"
] | info@webium.sk |
00485d0224f2843e121b4aa05f91f530a9de10b8 | f995f9822dc59181626a1e592e3b9a8cf9d7b453 | /myvenv/bin/pip3.6 | 33f7303eb7af2de1705e41e9b0eb05a965e3e37b | [] | no_license | hlorofilka/my-first-blog | 4e0d155d0b4451c897d877714610378e55a58c15 | ebfc02a518686c160046d1f0758ed621a0c59b07 | refs/heads/master | 2020-05-16T10:25:52.322963 | 2019-04-24T14:17:47 | 2019-04-24T14:17:47 | 166,085,479 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 251 | 6 | #!/Users/dashaskalkina/djangogirls/myvenv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"hlorofilk@mail.ru"
] | hlorofilk@mail.ru |
a0f66b7d8db03e702fc214f4eb1f4601311e09c6 | d4684738cb322ddd5c47feb8657ed0550edb2f40 | /tools/protodoc/protodoc.py | 876a84ba346310ca5180b2c2136dba0a0c5e08bf | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | keith/envoy | a80ec224eb1589230fa79e22826472901e5380cc | 6e5a79b06f121e0abda544a6124712faf9034ff4 | refs/heads/adaptive-concurrency-framework | 2023-08-08T21:53:34.806151 | 2018-08-14T02:41:18 | 2018-08-14T02:41:18 | 174,034,459 | 3 | 2 | Apache-2.0 | 2023-05-23T16:37:20 | 2019-03-05T23:09:27 | C++ | UTF-8 | Python | false | false | 25,195 | py | # protoc plugin to map from FileDescriptorProtos to Envoy doc style RST.
# See https://github.com/google/protobuf/blob/master/src/google/protobuf/descriptor.proto
# for the underlying protos mentioned in this file. See
# http://www.sphinx-doc.org/en/stable/rest.html for Sphinx RST syntax.
from collections import defau... | [
"noreply@github.com"
] | keith.noreply@github.com |
a16bd241bd21dd97d1b8a5a7a1517e3416efbaf7 | 6310c834caf9f775d1ddeb0328a41d5648a733fa | /source/news_client/apps.py | d6b5afd22eed6a596ea215f66abe4ab00017b054 | [] | no_license | big-arturka/test_task | 54205245d26c966dd4c3982dc6809d8c989f2cad | 8dc37994754f7ef04c5c697b5090be65f7058ebd | refs/heads/master | 2023-06-06T19:36:38.291673 | 2021-07-08T05:55:32 | 2021-07-08T05:55:32 | 321,126,387 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 96 | py | from django.apps import AppConfig
class NewsClientConfig(AppConfig):
name = 'news_client'
| [
"arturkrmnlv10@gmail.com"
] | arturkrmnlv10@gmail.com |
25db776581e2d9ad3ba30c7a8b084805b99d7a72 | 7742b635b174ab22077e7895c38f3719daf70daf | /common/schedulers.py | a7f17339eb70b24ad32351048512b30f8377cb25 | [] | no_license | ashigirl96/rl_snippets | 1d94306c25e2920fdf27d248a1a34879bfa78d52 | 7ff35b726053e96ab2106d5d297d8b074d807229 | refs/heads/master | 2020-03-07T23:18:58.261657 | 2018-06-23T11:55:04 | 2018-06-23T11:55:04 | 127,777,955 | 0 | 1 | null | 2018-06-14T10:55:03 | 2018-04-02T15:52:48 | Python | UTF-8 | Python | false | false | 1,941 | py | """Schedulers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
def linear_interpolation(l, r, alpha):
return l + alpha * (r - l)
class PiecewiseSchedule(object):
def __init__(self, endpoints, interpolation=linear_interpolation, outside_value=None)... | [
"reon@mma.cs.tsukuba.ac.jp"
] | reon@mma.cs.tsukuba.ac.jp |
22636a5133762f5113ca9300f370c9e3c8a64fc3 | 4e2370745d7c6fba99e0a6b7722be2d8e5d56c27 | /模板模式/bfs-dfs.py | d7e7f7699e07e2fa144f11e79bb24a2888c85c21 | [] | no_license | wangjifei121/python-design-mode | 4f27eac93446530acf93fc3c0406d7999fd0ef69 | 8c7d9e3c23623388fe7b57c750568c9538c13ff8 | refs/heads/master | 2020-04-02T12:07:03.202465 | 2018-10-24T01:27:03 | 2018-10-24T01:27:03 | 154,419,909 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,907 | py | """
sorted()这样的函数属于理想的案例。现实中，我们没法始终写出100%通用的代码。许多算法都有一些（但并非全部）通用步骤。
广度优先搜索（Breadth-First Search，BFS）和深度优先 搜索（Depth-First Search，DFS）是其中不错的例子.
"""
def bfs(graph, start, end):
"""
广度优先搜索（Breadth-First Search，BFS）
:param graph: 城市列表
:param start: 出发地 Frankfurt
:param end: 目的地 Nurnberg
"""
path... | [
"18500327026@163.com"
] | 18500327026@163.com |
afcfa24ce0a6237a0b2d184057852ff9988ac998 | 742fceefd39dae981fc528a2a58a0ac735b4beb4 | /books/accounts/tests.py | 9f6cdb6e0a7f0a2c2cddc05914726f583cf2082c | [] | no_license | kzkaneoka/django-for-professionals | cf6a973d117b9f48e10ec1128385a9914d724d8f | fa40f18205cde3ff40936af67b2cc8691a59e0c6 | refs/heads/main | 2023-03-23T00:12:14.905860 | 2021-03-16T04:48:36 | 2021-03-16T04:48:36 | 345,225,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,904 | py | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse, resolve
class CustomUserTests(TestCase):
def test_create_user(self):
User = get_user_model()
user = User.objects.create_user(
username="will", email="will@email.com", passwo... | [
"kzkaneoka@gmail.com"
] | kzkaneoka@gmail.com |
338acf90df73ddc089b851238d6d54e2b1879218 | 026ee4a8bcbd438ec14de04c7b3516c462fa35c0 | /rosbuild_ws/src/behavior_manager/src/behavior_manager/srv/_DeactivateBehavior.py | fb12dcfc6b1929a5f0c68306c22b694ba6478611 | [
"BSD-3-Clause"
] | permissive | Boberito25/ButlerBot | 147fee6763863a8988d1969d7144cc8a17c7510b | 959f961bbc8c43be0ccb533dd2e2af5c55b0cc2a | refs/heads/master | 2021-01-23T00:10:01.907481 | 2014-05-05T18:03:34 | 2014-05-05T18:03:34 | 11,519,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,738 | py | """autogenerated by genpy from behavior_manager/DeactivateBehaviorRequest.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class DeactivateBehaviorRequest(genpy.Message):
_md5sum = "03729983c4b9be7a4f2b56846a7ccbdc"
_type = "behavior_manager/Deact... | [
"vsunder@Jeeves.(none)"
] | vsunder@Jeeves.(none) |
72386b6d59178eab9a5507814a194401f40745ce | 3f3125fe0e296ed33cdad755b086aa7cfcf6d6b4 | /astute-dashboard/astutedashboard/dashboards/billing/config/views.py | 20b836a4438f3388483a47652d3d5929cedfd48f | [
"Apache-2.0"
] | permissive | sreenathmenon/astute-project | 9065923226be6eb9e309a97ba41c5ba3ec5b188d | 00590f769742c44460ef892a803c601a5403e165 | refs/heads/master | 2021-04-30T02:05:25.890023 | 2018-07-19T06:28:53 | 2018-07-19T06:28:53 | 121,495,094 | 0 | 1 | Apache-2.0 | 2018-02-24T10:35:14 | 2018-02-14T09:56:46 | Python | UTF-8 | Python | false | false | 7,033 | py | #
# Copyright 2017 NephoScale
#
from django.core.urlresolvers import reverse
from django.core.urlresolvers import reverse_lazy
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon import forms
from horizon import tables
from horizon import tabs
'''
from astutedashboard.... | [
"sreenath.mm@poornam.com"
] | sreenath.mm@poornam.com |
6ab39153de2ed16fddaf2d99c832cbb8a87e5de8 | aa333ebda23f8aba6d6499799d362a0aa7964632 | /ml3/sine_task_sampler.py | 18696aa89eecd40b2c83947d401e3a75a22e8583 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Srivignesh99/LearningToLearn | ef333394a82b24a1fe1497104455d49553729230 | ab6c412fe3a36cbfaec28f16d66f17c5b430e62a | refs/heads/main | 2023-02-26T03:18:36.541954 | 2021-02-02T00:06:57 | 2021-02-02T00:06:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,514 | py | import numpy as np
import torch
class SineTaskSampler(object):
def __init__(self, num_tasks_total, num_tasks_per_batch, num_data_points,
input_range=[-5.0, 5.0],
amp_range=[1.0, 1.0],
freq_range=[1.0, 1.0],
phase_range=[np.pi, np.pi],
... | [
"noreply@github.com"
] | Srivignesh99.noreply@github.com |
0d5612b10b9d4ae1e7f93123afb238011de5556e | f25ffa3370e9fef64d22c1d639051b1dfea249fa | /crypto/test/SConstruct | fdf7840c9447955b9b1d2b2e644bad970526f938 | [] | no_license | sjkingo-archive/comp3301-a2-spec | d809a836ffbea155284c5314e3cb5261483de29b | 754a9cf23e7395961237df6b19303fce49bafdf5 | refs/heads/master | 2016-08-06T19:05:10.194681 | 2015-06-20T00:00:58 | 2015-06-20T00:00:58 | 37,751,102 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | env = Environment(
CFLAGS=['-Wall', '-Wextra', '-g', '-std=gnu99'],
)
env.Program('smode', 'smode.c')
| [
"sam@sjkwi.com.au"
] | sam@sjkwi.com.au | |
43d9d5839c1f40e7e162a5febf3a56661ec3ce41 | 816606d0f9d1c342b9995b948fc8c65d283cf3bd | /model/ner_model.py | 19e76003f8e9d574139769117aca21f790eeadd2 | [
"Apache-2.0"
] | permissive | LiangsLi/seq_tagging_extra | 1beaf63dc109792809179361cb3137ace37c673a | bfad97b36e6c00c0e66ca8995fa30d7f60cf27de | refs/heads/master | 2020-03-23T17:44:25.121060 | 2018-07-23T06:49:33 | 2018-07-23T06:49:33 | 141,872,973 | 0 | 0 | Apache-2.0 | 2018-07-23T06:49:34 | 2018-07-22T06:52:19 | Python | UTF-8 | Python | false | false | 16,542 | py | import numpy as np
import os
import tensorflow as tf
from itertools import chain
from .data_utils import minibatches, pad_sequences, get_chunks
from .general_utils import Progbar
from .base_model import BaseModel
class NERModel(BaseModel):
"""Specialized class of Model for NER"""
def __init__(self, conf... | [
"poales@sina.com"
] | poales@sina.com |
4bff152fa8ed6f0e3d38debf95906289794e5f18 | 7ca69b055210451b41fa4ab7619b318f31bfd191 | /LGA/manage.py | f4b3e00a844261d8c80fac7602c455e971760f9a | [] | no_license | helius-team/projectForLAG | d34ca5fb0cd52b4c47d87fdf22b25ca44b9586b1 | 54dd68f04baa1c964868e9d3240aeadf4765937f | refs/heads/master | 2020-04-11T08:08:22.493939 | 2018-12-13T12:47:50 | 2018-12-13T12:47:50 | 161,633,187 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 535 | py | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'LGA.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you ... | [
"32494347+Medezee@users.noreply.github.com"
] | 32494347+Medezee@users.noreply.github.com |
c699bc32127b8584ebb9ae1852fe8baa996cea26 | 0f7d186164cafdd90b3e0baae0b5573fead049b4 | /多任务/线程/07-线程共享全局变量.py | 5b263873df2b9925669df27515c6809dbc31f50f | [] | no_license | DominicRen/Python-learning | 603b31ff173cbc0782b3cf3da12d5e0834a74402 | a9e7ded5fc0e2a760cee9887d87700769a3b9b6d | refs/heads/master | 2022-12-03T07:43:01.052201 | 2019-04-05T04:10:42 | 2019-04-05T04:10:42 | 179,615,987 | 1 | 2 | null | 2022-11-28T19:13:32 | 2019-04-05T03:54:26 | HTML | UTF-8 | Python | false | false | 490 | py | import threading
import time
# 定义一个全局变量
g_num = 100
def test1():
global g_num
g_num += 1
print("-----in test1 g_num = %d-----" % g_num)
def test2():
print("-----in test2 g_num = %d-----" % g_num)
def main():
t1 = threading.Thread(target=test1)
t2 = threading.Thread(target=test2)
t1.st... | [
"ren_9510@163.com"
] | ren_9510@163.com |
a797ad4aa0901df584d197d3311931220a7fa063 | b38c1d72d7c5d688a5f0942895a5f762880196b6 | /blog/migrations/0001_initial.py | c589b4b16fa74505689fe1d50d1e5effa764d2fc | [] | no_license | zdimon/angular | c8a9874b427ca5bb4899c51c0dc0ba0d96191039 | ea625523761d6b3300c9d9fb3c0aa7070fb634da | refs/heads/master | 2020-05-17T01:28:35.187898 | 2015-07-17T15:29:16 | 2015-07-17T15:29:16 | 38,496,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,115 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Post',
fields=[
('id', models.AutoField(verbose... | [
"zdimon77@gmail.com"
] | zdimon77@gmail.com |
67b2a52ec7eb04fbc8eb8dce6312fd2b614f37a3 | ef2018f6e2c8ccabf89cc5f0780cd8ded8db50c0 | /textreuse/fine_tuning/original_skipthought.py | f9dc21db43a4e8a69e8f8ba58f37585b6f07d8f2 | [] | no_license | emanjavacas/text-reuse | a8d14bfb105b30a3f7cf732f999027186ea899bd | 96e39a2e6982677f7d1f6b0f8397977155481b33 | refs/heads/master | 2022-01-05T22:13:54.800591 | 2019-06-04T19:51:12 | 2019-06-04T19:51:12 | 115,821,869 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,384 | py |
import os
import numpy as np
import skipthoughts
from textreuse.datasets import default_pairs, opusparcus_pairs
from textreuse.datasets import PATHS, OPUSPARCUS_PATH
if __name__ == '__main__':
model = skipthoughts.load_model()
for dataset in PATHS:
for split in PATHS[dataset]:
print(da... | [
"enrique.manjavacas@gmail.com"
] | enrique.manjavacas@gmail.com |
e80b2c632811677af15c91426fdb116e3238f867 | 1b082458d2815b7671a5d77e809834184e0dabfa | /vcr/request.py | bbe950b3edd673d60637aff3f6c8f797cf48f426 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | afthill/vcrpy | 6e4cc1cb842ddec75b73e579a12cf4ae7fb7ca8a | 5aa2fb017f8aad3455ff3291f2f749a5a45664fe | refs/heads/master | 2022-05-01T04:32:57.896556 | 2014-04-27T22:05:19 | 2014-04-27T22:05:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,456 | py | class Request(object):
def __init__(self, protocol, host, port, method, path, body, headers):
self.protocol = protocol
self.host = host
self.port = port
self.method = method
self.path = path
self.body = body
# make headers a frozenset so it will be hashable
... | [
"me@kevinmccarthy.org"
] | me@kevinmccarthy.org |
6a602ac63ceff3c935f7505cec4e8ce3632c4a66 | 0d6b7553627d9108f822477ed8d794df153579cd | /scripts/generate_reId_dir.py | deae483fc06cc19e6260a2aab1ba65ad1e4e0c9b | [] | no_license | WW2401/caffe_train | 3fac962a9762d1cfc9910af57630e7164adb9050 | fafd616ed96b88f627a25107fed9655d08cc8007 | refs/heads/master | 2020-09-17T10:08:54.755050 | 2019-11-25T12:38:02 | 2019-11-25T12:38:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 894 | py | import shutil
import os
market_1501_dir = '../../dataset/reId_data/Market-1501-v15.09.15/gt_bbox'
mark_1501_align_dir = '../../dataset/reId_data/Market-1501_align'
def generate_name_dir(srcDir, disDir):
if not os.path.isdir(disDir):
os.makedirs(disDir)
for imgfile in os.listdir(srcDir):
srcimg... | [
"yuqj@deepano.com"
] | yuqj@deepano.com |
2b784f48a7d1e789e0051df31ca63854262985b6 | 88f46e6c381dbfacdf701eae84c0b187cae0747a | /methods/shared.py | 80a1cf936b591db8d91c880fd1b7f005af5ea7c0 | [] | no_license | EduardoVernier/landmark-based-dynamic-projections | 549cd5ae1e65ea24d53a2d60d9ab14be8eaefcfd | c5420eea850a06b5d19b0b311fe0ee25a0757f35 | refs/heads/master | 2023-05-08T15:28:32.664766 | 2021-05-28T08:47:12 | 2021-05-28T08:47:12 | 234,282,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,942 | py | import numpy as np
import pandas as pd
import cv2
import re
import glob
import natsort
from sklearn.utils import shuffle
# Load drawings from the quickdraw/fashion dataset
def load_drawings(base_path):
categories = list(set([img.split('/')[-1].split('-')[0] for img in glob.glob(base_path + '*')]))
X = []
C... | [
"efvernier@gmail.com"
] | efvernier@gmail.com |
b8c63e2a9ff5b3b420514c6b6366cbaa77806197 | 00b669412e2e875ffe0686e3806d91a317000f2a | /exercicios-python/ex089.py | ac0e9b94157e974f3a65efe7ebd1a35d07cca686 | [] | no_license | quintasluiz/devaria-python | 3923e4cb4caa4e01d75a4f73bcc2d9e3388e5e11 | 932e0a54483193c90011b4fcc1edc023335ef59b | refs/heads/main | 2023-06-09T21:02:00.731941 | 2021-06-28T17:42:11 | 2021-06-28T17:42:11 | 376,903,539 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 739 | py | ficha = list()
while True:
nome = str(input('Nome: '))
nota1 = float(input('Nota 1: '))
nota2 = float(input('Nota 2: '))
media = (nota1 + nota2) / 2
ficha.append([nome, [nota1, nota2], media])
resp = str(input('Quer continuar? [S/N]'))
if resp in 'Nn':
break
print('-='*30)
print(f'{"... | [
"79282765+quintasluiz@users.noreply.github.com"
] | 79282765+quintasluiz@users.noreply.github.com |
d6cac20aa12d749297a858a8968dcdd59024491d | ad846a63f010b808a72568c00de016fbe86d6c35 | /algotradingenv/lib/python3.8/site-packages/IPython/sphinxext/ipython_console_highlighting.py | e07bcc007d0673032ff83deee60ef9272ebd015b | [] | no_license | krishansinghal29/algotrade | 74ee8b1c9113812b1c7c00ded95d966791cf76f5 | 756bc2e3909558e9ae8b2243bb4dabc530f12dde | refs/heads/master | 2023-06-02T01:53:24.924672 | 2021-06-10T09:17:55 | 2021-06-10T09:17:55 | 375,641,074 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 972 | py | """
reST directive for syntax-highlighting ipython interactive sessions.
"""
from sphinx import highlighting
from IPython.lib.lexers import IPyLexer
def setup(app):
"""Setup as a sphinx extension."""
# This is only a lexer, so adding it below to pygments appears sufficient.
# But if somebody knows what... | [
"krishansinghal29@gmail.com"
] | krishansinghal29@gmail.com |
2df52fb16d7d48c296b17e5db4333179d3dcaf3a | dff2b1b20601168aecccc454764faa3d6fa54318 | /visualdns/handlers/AlertPageHandler.py | c2f560d73c93623d88e2f55abe0e6ab41d9ef984 | [] | no_license | whisp1830/dns_anomaly_detect | 7effffa3b4df34069c9020e14d7f3660173a3a3a | c97478eeaa020914667fcf6772f3e103f1eec9f7 | refs/heads/master | 2022-05-07T23:37:26.525038 | 2020-04-24T13:01:16 | 2020-04-24T13:01:16 | 228,736,680 | 2 | 3 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | import sys,os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
import math
import json
import random
import datetime
from BaseHandler import BaseHandler
class AlertPageHandler(BaseHandler):
def get(self):
self.render("alert_detail.html") | [
"whisp@whispdeMacBook-Pro.local"
] | whisp@whispdeMacBook-Pro.local |
0ef48c404fe6b7fa55da65dc7a87037e018860a4 | 998991df6a2afe0b8c6868cc81382d092a9ca165 | /spark/pyspark_sql/pyspark_sql.py | aeafeadade225a151d8e977f6547c2561ae3028e | [] | no_license | big-roc/Python3Projects | 797d255f96993f583a1d87debc05edabcd6f0e02 | 8cb8b3882219bdfe5fa65d16abf5d4ffb3185994 | refs/heads/master | 2023-01-22T21:43:08.359316 | 2020-12-08T07:00:34 | 2020-12-08T07:00:34 | 309,912,537 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,140 | py | # coding:utf8
import os
import json
import requests
import datetime
from os.path import abspath
from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StructField, StringType, ArrayType
os.environ["SPARK_HOME"] = "D:/software/spark-2.4.2-bin-hadoop2.7"
warehouse_location = abspath('/user/hive/... | [
"18666297422@163.com"
] | 18666297422@163.com |
595c01bd43d08b6b8b738334caae83010da66da1 | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/AlipayMarketingDataDashboardApplyModel.py | 25bfe04a2359d1e8304fbfc2eb32f13f51baf790 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 1,390 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayMarketingDataDashboardApplyModel(object):
def __init__(self):
self._dashboard_ids = None
@property
def dashboard_ids(self):
return self._dashboard_ids
@dashboa... | [
"liuqun.lq@alibaba-inc.com"
] | liuqun.lq@alibaba-inc.com |
bf77e59520837cbd065542476fdad5c4d1c0a67f | d3e723fe5eb20b868ed6bc7e3d228eba368f22ef | /feedly/feeds/redis.py | 03755ba7a7ced91466e476809ae1a508fc9d880f | [
"BSD-3-Clause"
] | permissive | intellisense/Feedly | f33fa42a0f41b73e8e728813ed311d06bd8fb668 | 4c5fb74aee56e5ff382417301a4825b151c474b0 | refs/heads/master | 2020-05-29T11:36:24.157740 | 2014-02-24T16:27:33 | 2014-02-24T16:27:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 916 | py | from feedly.feeds.base import BaseFeed
from feedly.storage.redis.activity_storage import RedisActivityStorage
from feedly.storage.redis.timeline_storage import RedisTimelineStorage
from feedly.serializers.activity_serializer import ActivitySerializer
class RedisFeed(BaseFeed):
timeline_storage_class = RedisTimeli... | [
"thierryschellenbach@gmail.com"
] | thierryschellenbach@gmail.com |
d24441e40e800b1176311fbd8cd4288f21d16f97 | db0af5141f449ee25de125da810587428c7617d7 | /enquiries/migrations/0001_initial.py | 067db8b89250a9ed465fca1406a3fa6375d0f3fd | [] | no_license | sunguru98/btre_project | 4ad68e1996c36a1a9f500709c1087abe16f6a1ee | e9773038386aceba48d244176da9590a947b557a | refs/heads/master | 2020-04-09T12:28:20.854963 | 2018-12-12T13:21:47 | 2018-12-12T13:21:47 | 160,351,451 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 957 | py | # Generated by Django 2.1.4 on 2018-12-12 03:59
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Enquiry',
fields=[
('id', m... | [
"sunguru98@yahoo.co.in"
] | sunguru98@yahoo.co.in |
82c2aa4d0eaae1c30b6b3a4280b8c5fe077a097d | 0855c62efcf587975451e94db920d2323402d673 | /vonage/__init__.py | d12f6df8150d5416972ac84ff20cd79bd8e6cbaf | [] | no_license | Psycadelik/Vonage-QnA-app | f18b5765c1e08fc1ebefac9dca14123a939a17ae | 6044e2e98d341667959c4a9a9de024c4f389ffef | refs/heads/master | 2022-11-11T08:17:05.897483 | 2020-07-07T13:19:13 | 2020-07-07T13:19:13 | 270,303,959 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,499 | py | import os
import subprocess
from flask import Flask, request, jsonify
from vonage.config import configs
from vonage.nexmo import nexmo_sms
from vonage.fetch_phone_number import phone_number
from dialogflowapi.intent_texts import detect_intent_texts
from two_way_sms_api.send_sms import send_sms
def create_app(environ... | [
"francisadrian9@hotmail.com"
] | francisadrian9@hotmail.com |
767473019fa471753c9655d05af2834a9282b2e0 | e8d4c03c33e0721a26e56a0c0a1a83cbf4685e4c | /abc118/c_3.py | 865ea3841c709c790ba9de89f5886a7c8da87de4 | [] | no_license | satackey/atcoder | b08dec621dbd98132076b96e0bb3fa093025dfa1 | 1239f107d3b241f71ae8bfe3a52d0d8b2f3847ed | refs/heads/master | 2020-08-28T06:21:20.327249 | 2020-05-31T12:14:46 | 2020-05-31T12:14:46 | 217,619,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 560 | py | n = int(input())
a = list(map(int, input().split()))
a = sorted(a)
zero_monster_indexes = []
while True:
for monster_i in range(1, len(a)):
if a[monster_i] == 0:
zero_monster_indexes.append(monster_i)
else:
a[monster_i] %= a[0]
if a[monster_i] == 0:
... | [
"21271711+satackey@users.noreply.github.com"
] | 21271711+satackey@users.noreply.github.com |
7cbfc835d5ee7dd706a39b957c365a77352048c5 | f64069f0dc90aa41947d1deca317aa37ad9c9080 | /CounterCode2015/Campers.py | 1be7dba22916115142a5cf672826cd46dc065798 | [] | no_license | raunaklakhwani/Algorithms | 9fdd7c3f5234b4682690ce3bededa365e75df1e5 | a0b36f4f068c100b17fd27b3ed28816e4f3b4e4f | refs/heads/master | 2021-01-10T19:39:24.120026 | 2015-12-20T14:14:48 | 2015-12-20T14:14:48 | 27,044,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | # URL : https://www.hackerrank.com/contests/countercode/challenges/campers
from math import ceil
N,K = 8,2
snipers = [2,6]
snipers.sort()
def getBetween(a,b):
#print a,b
n = b-a+1
return int(ceil(n/2.0))
pre = 1
s = 0
for i in snipers:
s += getBetween(pre, i - 2)
#print s
pre = i + 2
... | [
"rlakhwan@cisco.com"
] | rlakhwan@cisco.com |
ada79e26a6b79c29b6c0b4644c97ddd305921f36 | a38c60d1e36c02d4e237c786f25ed2733d284e06 | /kafka/kafka_ProducingAvroData_RESTProxy.py | e38de3b24f30f3afe4e9e2b6f85c8a9c941c9f01 | [] | no_license | kitushenoy/mywork | f0edc8f1be4b7918a0b64e505e7074d9256011df | 2bfbeaa4b9e35e742a232f5b19e89cdbb354a9b0 | refs/heads/master | 2021-07-18T22:43:06.306183 | 2021-03-29T18:14:27 | 2021-03-29T18:14:27 | 89,013,367 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,026 | py | # This script will send avro data to kafka using REST PROXY
from dataclasses import asdict, dataclass, field
import json
import time
import random
import requests
from confluent_kafka import avro, Consumer, Producer
from confluent_kafka.avro import AvroConsumer, AvroProducer, CachedSchemaRegistryClient
from faker impo... | [
"Kirthi.Shanbhag@wdc.com"
] | Kirthi.Shanbhag@wdc.com |
a8966330525ca3601a2eb751b17b6bad44bba10d | 1eb8eef3a83ed545984df54f08749887dcb415e8 | /common/states/default.py | 26233274e1826e1ef29316499cc6c11489f9c9d5 | [
"MIT"
] | permissive | sk364/prosfair | e414a2b3efa411205f9a0e4e2d1d1bdae1e782ae | bb16dd19aee9804b0a1b239b00ff99e285d7fd96 | refs/heads/master | 2021-06-03T01:47:07.748799 | 2021-04-04T10:13:27 | 2021-04-04T10:13:27 | 45,759,836 | 0 | 0 | null | 2015-12-15T11:18:59 | 2015-11-07T23:54:26 | Python | UTF-8 | Python | false | false | 1,572 | py | STATE = {
"white": [{
"type": "b",
"position": [7, 2],
}, {
"type": "b",
"position": [7, 5],
}, {
"type": "k",
"position": [7, 4],
}, {
"type": "n",
"position": [7, 1],
}, {
"type": "n",
"position": [7, 6],
}, {
"type": "q",
"position": [7, 3],
}, {
"typ... | [
"skad5455@gmail.com"
] | skad5455@gmail.com |
385f0d7c40d44dfd57c026bd40470aaa4471c8a1 | 23e7f6c8b69be285f89e02e3517aa4381b8ba785 | /detect_failed_test_in_build.py | 13c6218068d9237b6183fdb9be2c0ba0feb148fa | [] | no_license | scality/test-result-management | 0705df09eeba5e3dde55689a17b484306a3207c2 | 23b0fed1ad9aafca471973b206cfdc31d98d60d8 | refs/heads/main | 2023-07-26T19:00:44.651623 | 2021-08-06T13:11:39 | 2021-08-06T13:11:39 | 381,741,755 | 0 | 0 | null | 2021-08-06T08:54:25 | 2021-06-30T15:06:12 | Python | UTF-8 | Python | false | false | 8,425 | py | from ES_query.visitor.interprete_response import ReadData
from api_manager.ES_manager import ESManager
from ES_query.AST import *
from ES_query.visitor.ast_to_query import CreateDictionnary
def create_aggregation_from(base_aggregation, aggregation_list):
for agg in aggregation_list[::-1]:
base_aggregation... | [
"alievre@laposte.net"
] | alievre@laposte.net |
1e27272a6df616fd8ab1ea720081875c1a06bca0 | 8b280840def0f170a16ea8e0668799e63759e9fc | /react_django/settings.py | 1998a01b5810359170d4c639a48fdfc9254837c0 | [] | no_license | panu2306/React-Django-REST | 0a40830048903a0be8a5d5661ec36e20f8d02656 | e0e5976e2b81a91661fed674fa7e1d8177e093f6 | refs/heads/master | 2021-04-02T01:44:17.179283 | 2020-03-18T12:55:26 | 2020-03-18T12:55:26 | 248,230,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,141 | py | """
Django settings for react_django project.
Generated by 'django-admin startproject' using Django 3.0.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import ... | [
"pranavbhendawade@gmail.com"
] | pranavbhendawade@gmail.com |
ef0331985cab09f63d6cb638d9717f4a48d79858 | 7240b8cec438c4d1e9ec023599f91a361cd7c97c | /python-scripts/summing_smalls_numbers.py | 1cf2e2497b41742699a2490af8e2dcbe1a24f862 | [] | no_license | isacmoura/deep_learning_udacity | 8499729030d7bfeb1e51225c5528aee41cabd067 | 0ec52b5bfb74afc10c4c998382e48449481d356f | refs/heads/master | 2020-04-04T09:06:40.972366 | 2018-11-02T16:54:47 | 2018-11-02T16:54:47 | 155,807,363 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 186 | py | # Somando pequenos números a um número de 1 bilhão
big = 10 ** 9
for i in range (10 ** 6):
big += 10 ** -6
big -= 10 ** 9
print("{0:.3f}".format(big))
# O resultado não é 1
| [
"contatoisacmoura@outlook.com"
] | contatoisacmoura@outlook.com |
d714be42a3d964458378d2bf219800317028de44 | 95255c09d3487c1b102f7c87d98298f98187f0fd | /2021-projects/team-2/preprocessing/shuffler.py | f02a4cde9b74bcc98b12be8059ac11e8b1344e34 | [
"Apache-2.0"
] | permissive | AmericanEnglish/big-data-reu | e9492c3537e34f82662ec34cc3bcd98f60bae781 | bb582821f7a78a57d9bdb1accaa59383f3d09028 | refs/heads/main | 2023-08-15T19:54:51.072317 | 2021-10-13T14:33:25 | 2021-10-13T14:33:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,194 | py | trip = {
"123": 0,
"132":1,
"213":2,
"231":3,
"312":4,
"321":5}
doubles = {
"12 ":6,
"21 ":7}
dtot = {
"124":8,
"214":9,
"134":10,
"314":11,
"234":12,
"324":13}
f = {"444":14}
trip_r = {}
dtot_r = {}
for k in trip.keys():
trip_r[trip[k]] = k
for k in dtot.keys():
dtot_r[dtot[k]] = k
# Infile
from sys import ar... | [
"barajasc@umbc.edu"
] | barajasc@umbc.edu |
aa3b12bb2e51e85ab4cd8244e92c90386462942e | 11f77e8b254ea5c0514251228c7b9538a7f0cf19 | /lookup.py | 581c16bcabce28965614df069b4e2f4e682b4c6c | [] | no_license | fiesta0211/korean-cnn-text-classifier | ef9a8e8333900d894c086a21450e31f71f5cd119 | a679518e6ac2ec97a4c8151170930a576a35dc68 | refs/heads/master | 2020-11-29T18:49:37.046905 | 2018-12-17T14:16:31 | 2018-12-17T14:16:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 462 | py | import tensorflow as tf
W = tf.Variable(tf.random_uniform([4, 6], -1.0, 1.0))
x = tf.constant(
[[0, 1, 2], [0, 3, 2]])
embedded_chars = tf.nn.embedding_lookup(W, x)
embedded_chars_expanded = tf.expand_dims(embedded_chars, -1)
sess = tf.Session()
sess.run(tf.global_variables_initializer())
print(sess.run(embedded_... | [
"a4gkyum@naver.com"
] | a4gkyum@naver.com |
1f33bb44befdd86e21f7bb8f3928a6216e1bf117 | d3de80b12759325777cc2f25f53f7aca2d355bdb | /models.py | b54a065219c872cdc13432311028daf90b7419a4 | [] | no_license | Jzz1943/YOLOv3-quadrangle | c41dfc35694e1f807371b2f822e8bdf00f2c1956 | 44d6b0d140f6062fcf48223bdac516f654162ab7 | refs/heads/master | 2020-04-08T15:01:46.204166 | 2018-11-28T07:31:24 | 2018-11-28T07:31:24 | 159,462,466 | 2 | 0 | null | 2018-11-28T07:36:28 | 2018-11-28T07:36:27 | null | UTF-8 | Python | false | false | 11,971 | py | from collections import defaultdict
import torch.nn as nn
from utils.parse_config import *
from utils.utils import *
def create_modules(module_defs):
"""
Constructs module list of layer blocks from module configuration in module_defs
"""
hyperparams = module_defs.pop(0)
output_filters = [int(hyperpa... | [
"noreply@github.com"
] | Jzz1943.noreply@github.com |
f20a451ab0151f2c808520c4bd869d1418272c3b | b2438cda1dfae3a5677c2a75c88a0b6ec98f0f9a | /ex/generator.py | 6e7b31cbf5d6ca3465806721df9b7b5effd80612 | [] | no_license | SimonXu1992/lxf_study | b2f4e22d91b33688f4a0435fef9410da051a8a37 | 2b6db0cb6bddfb5e1a81e0f237a9657949c65540 | refs/heads/master | 2020-08-18T15:24:06.015470 | 2019-10-20T12:50:26 | 2019-10-20T12:50:26 | 215,806,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,670 | py | # python3
# 非常重要的一点列表是引用类型
# import copy
# def triangles():
# """
# 使用copy库
# :return:
# """
# L = []
# while True:
# if (len(L) < 2):
# L.append(1)
#
# else:
# length = len(L)
# for i in range(length - 1):
# L[i] = L[i] + L[i +... | [
"xsc19920226@163.com"
] | xsc19920226@163.com |
ccf0391edc7b4cf3a0f5c98a4e48021a6c5e0901 | 63745d097fa60ae7b3edf4f5d6a87678c273bbe8 | /kind/master/MstTrainCompanyKind.py | de8d11c546358b49faca4971feab52c31f1b5749 | [] | no_license | ekchuah-aoki/miralServer | 48d7ad42c282ccede4a96f0ba2266617448111a8 | 6942e2c5aa5c3c52cee85359d7f4381689f33c67 | refs/heads/master | 2021-01-21T04:40:38.878158 | 2016-06-07T04:53:35 | 2016-06-07T04:53:35 | 55,469,708 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 535 | py | # coding: UTF-8
from google.appengine.ext import ndb
from kind.BaseKind import BaseKind
class MstTrainCampanyKind(BaseKind):
u"""路線マスタ"""
campanyCd = ndb.IntegerProperty(indexed=True) #路線事業者コード
companyNama = ndb.StringProperty() #路線事業者名コード
company... | [
"y.aoki@192.168.1.54"
] | y.aoki@192.168.1.54 |
5931a554ba7c93eb81d54d08cc04c2f9183d8c95 | 9e0136e424c7dfa90fba5672ec3f5dc2de002257 | /13: Using Databases/Exception Handling/migration.py | 207f68001892acb2752ab333f2b3a410ec8ad8eb | [] | no_license | ntkawasaki/complete-python-masterclass | 591a0f936fab0e2df2abcbe447f32adda5b26675 | a5eb6ead483da2fc895d169e5ed8ba1e79c2d061 | refs/heads/master | 2020-03-21T23:35:09.526180 | 2018-06-29T21:07:18 | 2018-06-29T21:07:18 | 139,195,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | import ducks
flock = ducks.Flock()
donald = ducks.Duck()
daisy = ducks.Duck()
duck_3 = ducks.Duck()
duck_4 = ducks.Duck()
duck_5 = ducks.Duck()
duck_6 = ducks.Duck()
duck_7 = ducks.Duck()
percy = ducks.Penguin()
flock.add_duck(donald)
flock.add_duck(daisy)
flock.add_duck(duck_3)
flock.add_duck(duck_4)
flock.add_duc... | [
"ntkawasaki@gmail.com"
] | ntkawasaki@gmail.com |
46d15fda29e9d529e3b0e67d43c1e56866529bed | d2219febb4727a24856578c4c3963b8c081835cb | /usr/lib/enigma2/python/Plugins/Extensions/BBC-iPlayer-Recorder/__init__.py | abf38987968a5e8ea489beb842b10923f7d25362 | [] | no_license | linuxbox10/BBC-iPlayer-Recorder | 3c465cd6fcc237ba384c8c9b89488d86e3ad3f3b | 069e731b134fa6a08152a90cb122caa1d2800b66 | refs/heads/master | 2021-07-07T08:22:39.817143 | 2017-10-04T15:41:42 | 2017-10-04T15:41:42 | 105,785,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 102 | py | # Embedded file name: /usr/lib/enigma2/python/Plugins/Extensions/BBC_iPlayer_Recorder/__init__.py
pass | [
"jaysmith940@hotmail.co.uk"
] | jaysmith940@hotmail.co.uk |
9e7acde28006fbc25aeaf668e155b7fe5f187304 | c674f639e356053d0fc4d728c7094424c56c8f07 | /akb48/member/inoue_naru.py | ccc305be258feb60a0462632ca7fa96abd99946d | [
"MIT"
] | permissive | moriyoshi/pyakb48 | f09c27f53fe76f92ac8be773542330fe2da633f7 | 754666c428f27250d44419a498e61d32c0efa38e | refs/heads/master | 2021-01-02T09:38:16.047927 | 2011-10-17T03:40:57 | 2011-10-17T03:40:57 | 2,581,021 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 662 | py | # encoding: utf-8
import datetime
__all__ = [
'info',
]
def info():
return {
'birthday': datetime.date(1991, 12, 18),
'class': 3,
'family_name_en': u'inoue',
'family_name_kana': u'いのうえ',
'first_name_en': u'naru',
'first_name_kana': u... | [
"mozo@mozo.jp"
] | mozo@mozo.jp |
c040a11a91612d901166299c6fb7ff05d5c3161c | cfba700693b3fe1590a86f817da94f92457da254 | /170401007_hw_2.py | 708bb4e15fab53f9ad52a6fa723bcecac1458f36 | [] | no_license | ArdaCemBilecan/Programlama-Lab | 79cda580901f5a1da7d97e78e8da647b74fa78d2 | 66f3f15b783308760b30df68c4a2af4f3ec369fd | refs/heads/master | 2021-01-07T11:11:40.719509 | 2020-05-22T18:06:43 | 2020-05-22T18:06:43 | 241,673,681 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,873 | py | import sys
outputs=[]
Days=[]
def bubbleSort(list_1):
for i in range(len(list_1)-1):
for j in range(len(list_1)-1):
if list_1[j]>list_1[j+1]:
temp = list_1[j]
list_1[j]=list_1[j+1]
list_1[j+1]=temp
def read_File_And_Separation():
f... | [
"noreply@github.com"
] | ArdaCemBilecan.noreply@github.com |
2ea33ffcd0cae4ec18e5222c11a9c44aa4035f04 | ea3799fc5a6a7109c1c8089dc43993ce24a3fa2a | /FCN.py | 368956152f8a4125ed2d103dc0e50a1d8d6a8a28 | [] | no_license | gepu0221/FCN | 92edfc4bddd2ace1e10d2236a2f9a4ed672705c8 | df03409d5974cbec60d3d18853149c838d2f091b | refs/heads/master | 2020-03-16T18:14:40.414050 | 2019-03-11T12:40:44 | 2019-03-11T12:40:44 | 132,865,380 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,367 | py | from __future__ import print_function
import tensorflow as tf
import numpy as np
import time
import TensorflowUtils as utils
import read_MITSceneParsingData as scene_parsing
import datetime
import BatchDatsetReader as dataset
from six.moves import xrange
from label_pred import label_visualize,fit_ellipse
FLAGS = tf.fl... | [
"cauc_gp@163.com"
] | cauc_gp@163.com |
9fcfda872969a04db6c4892cc52345f61d0a5a36 | 2ed86a79d0fcd299ad4a01310954c5eddcf01edf | /homeassistant/components/overkiz/climate_entities/atlantic_pass_apc_heating_zone.py | b6835d93ebb01978f226f745fb84a212a4de8ecd | [
"Apache-2.0"
] | permissive | konnected-io/home-assistant | 037f12c87bb79e19220192eb918e49db1b1a8b3e | 2e65b77b2b5c17919939481f327963abdfdc53f0 | refs/heads/dev | 2023-05-11T08:57:41.891518 | 2023-05-07T20:03:37 | 2023-05-07T20:03:37 | 109,931,626 | 24 | 10 | Apache-2.0 | 2023-02-22T06:24:01 | 2017-11-08T05:27:21 | Python | UTF-8 | Python | false | false | 7,956 | py | """Support for Atlantic Pass APC Heating Control."""
from __future__ import annotations
from typing import Any, cast
from pyoverkiz.enums import OverkizCommand, OverkizCommandParam, OverkizState
from homeassistant.components.climate import (
PRESET_AWAY,
PRESET_COMFORT,
PRESET_ECO,
PRESET_HOME,
P... | [
"noreply@github.com"
] | konnected-io.noreply@github.com |
864eb8aa4218cdc43a380472ef2c3f567f009d1b | b1c2050aab4aeea16e23f0074f3c8989656fd4ce | /UAS/Kivy Sudah Modifikasi/FlappyBird Modifikasi.py | bd32096f86aec2c02243315b0727570931e1dd21 | [
"MIT"
] | permissive | musfirotum/Object-Oriented-Programming | 3fd2ce0e03e270ca8725ec3736268ff864f8d0f3 | 81ebd91066007b70e979665eaa2a131d5d85de7b | refs/heads/master | 2020-04-01T19:40:44.463984 | 2018-12-22T14:13:46 | 2018-12-22T14:13:46 | 153,566,151 | 0 | 0 | null | 2018-10-21T10:01:54 | 2018-10-18T05:03:51 | Python | UTF-8 | Python | false | false | 6,416 | py | import kivy
kivy.require("1.8.0")
from random import randint
import sys
from kivy.properties import NumericProperty, ReferenceListProperty, BooleanProperty, ObjectProperty, ListProperty
from kivy.uix.image import Image
from kivy.vector import Vector
from kivy.app import App
from kivy.clock import Clock
from kivy.conf... | [
"noreply@github.com"
] | musfirotum.noreply@github.com |
241ee1d4fb08eab48847636ac8aa19413cffb686 | 846b11ccf549aba144c1824a24292a4850860ca7 | /2-EstruturaDeDecisao/5.py | ecaf59269d84595e978da0a147427a07e1c37567 | [] | no_license | paulocesarcsdev/ExerciciosPython | 6d1feff293e7efc4cd3fbc62eee0add93f76db99 | 25bfaa6dc5cb294242e478a2b253a8ca5d9c7078 | refs/heads/master | 2023-05-15T00:53:22.151884 | 2021-06-10T03:04:04 | 2021-06-10T03:04:04 | 337,847,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 602 | py | '''
Faça um programa para a leitura de duas notas parciais de um aluno. O programa deve calcular a média alcançada por aluno e apresentar:
A mensagem "Aprovado", se a média alcançada for maior ou igual a sete;
A mensagem "Reprovado", se a média for menor do que sete;
A mensagem "Aprovado com Distinção", se ... | [
"paulocesarcs.dev@gmail.com"
] | paulocesarcs.dev@gmail.com |
dd618eda0c41743443401f194db4990de20d0395 | 882f29fb4e8dde1a80b67de71aadbcc8f5f3cddc | /checkout/webhook_handler.py | 8294e9102ee6425a383bcc534068bd1b68185e66 | [] | no_license | GTretiakov/boutique_django | af14dc1d7ea7dbc98b42c1ca55293e0e6b876304 | a4dce85ee21c9fe1a831e0516d0e642b2502e8d4 | refs/heads/master | 2023-04-14T10:01:42.695558 | 2021-04-29T00:42:13 | 2021-04-29T00:42:13 | 349,506,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,003 | py | from django.http import HttpResponse
from django.core.mail import send_mail
from django.template.loader import render_to_string
from django.conf import settings
from .models import Order, OrderLineItem
from products.models import Product
from profiles.models import UserProfile
import json
import time
class StripeWH... | [
"g.tret1990@gmail.com"
] | g.tret1990@gmail.com |
5b8904fa1f4944088bfa67fd47c8959d3ab4ffb4 | 9ae6ce54bf9a2a86201961fdbd5e7b0ec913ff56 | /google/ads/googleads/v9/resources/types/bidding_data_exclusion.py | 9fc75f0ae1869a171b9aa89c12199bed820c8544 | [
"Apache-2.0"
] | permissive | GerhardusM/google-ads-python | 73b275a06e5401e6b951a6cd99af98c247e34aa3 | 676ac5fcb5bec0d9b5897f4c950049dac5647555 | refs/heads/master | 2022-07-06T19:05:50.932553 | 2022-06-17T20:41:17 | 2022-06-17T20:41:17 | 207,535,443 | 0 | 0 | Apache-2.0 | 2019-09-10T10:58:55 | 2019-09-10T10:58:55 | null | UTF-8 | Python | false | false | 4,930 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | GerhardusM.noreply@github.com |
918fead55de0ee535f3693901f65ecbea534c81b | 58ea2e69333d44e073ccbc31077b4268d1dc28f1 | /manage.py | 79cedce0c7fe8649b38b4f69cf54ef7707db1b1e | [] | no_license | beruangsakti/Peweb | 8e2dae370c05d08957a7aade9eda2817838bf553 | e83bf948c8d3aba8b0c6f4340e41cc62ee7953b0 | refs/heads/main | 2023-02-16T14:30:39.227697 | 2021-01-18T17:48:26 | 2021-01-18T17:48:26 | 330,742,867 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 683 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'maddi.settings')
try:
from django.core.management import execute_from_command_line
ex... | [
"noreply@github.com"
] | beruangsakti.noreply@github.com |
f3704e6ffdfc299ccbe48106a9f84b3607dfd38d | a0b7d64efae7804d82aac288f1ab36a98339c32a | /all_repos/manual.py | d8d1cad94614b5206dd88c6a14ebceb5fabfaa03 | [
"MIT"
] | permissive | asottile/all-repos | a4e71e2deabd4f82af8d8dda43289a22e9d22b28 | 54d272b276e391828b74efad9445f5eafc96c998 | refs/heads/main | 2023-09-01T14:39:35.708565 | 2023-08-29T15:13:51 | 2023-08-29T15:13:51 | 99,260,344 | 481 | 81 | MIT | 2023-09-05T11:38:16 | 2017-08-03T17:51:41 | Python | UTF-8 | Python | false | false | 1,302 | py | from __future__ import annotations
import argparse
from typing import Sequence
from all_repos import autofix_lib
from all_repos.config import Config
def find_repos(_: Config) -> list[str]:
raise AssertionError('--repos is required')
def main(argv: Sequence[str] | None = None) -> int:
parser = argparse.Arg... | [
"asottile@umich.edu"
] | asottile@umich.edu |
0c926511d6608be8a6ffadd86323b3b573462578 | 55ed0f382be1003415af11031169af01b8242607 | /main.py | 3ac6bfe484f7b328ebb75757dc83a33e3caa42bc | [] | no_license | DevoidLabs/static-boilerplate | aa541dcb99f7b06b66f1fe941261e7c29b6e5bf0 | 50b3d310e7ecb7f9a2c7be5b7e186e9c3d39ac9f | refs/heads/master | 2020-04-19T01:17:53.556839 | 2019-01-28T01:26:20 | 2019-01-28T01:26:20 | 167,868,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py |
from sanic import Sanic
from sanic.response import text
app = Sanic()
app.static('/pages', './pages')
# Blueprints
from blueprints.home.main import home_module
app.blueprint(home_module)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000) | [
"josuedr11@gmail.com"
] | josuedr11@gmail.com |
1f6b0223ae64b698f778132e92aa7961497b2301 | 2cd0c89e4002871dddd6d0872c8105b92f730a11 | /Publishing/_old/AssetPublish_v01.py | fbfdff88c9d339803ead8ba1e0e6c2f8535a364f | [] | no_license | zethwillie/froggerPipeline | d130d5d13a30aa085061e5af918f59f1c4184517 | 0ab3a5462b8a3e1f36e21c77df88e1039a7b3e4d | refs/heads/master | 2021-04-29T14:40:13.402162 | 2018-03-14T16:03:34 | 2018-03-14T16:03:34 | 121,779,043 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,037 | py | import os
from shutil import copy2 as copy2
import fnmatch
import maya.cmds as cmds
import maya.mel as mel
import Utilities.utilityFunctions as uf
reload(uf)
# the fbx presets
preset="X:/Production/Code/Maya/Tools/PipelineTools/Python/Publishing/Cali_Scale_Cm.fbxexportpreset"
def publish_maya_scene(versionUp=True, ... | [
"zethwillie@gmail.com"
] | zethwillie@gmail.com |
8729474e8b2422a1e50214878c35fd5195d111dc | f4434c85e3814b6347f8f8099c081ed4af5678a5 | /sdk/communication/azure-communication-chat/tests/test_chat_thread_client_e2e_async.py | 69f1236074986d93928e4b4bce029ea46665aab2 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | yunhaoling/azure-sdk-for-python | 5da12a174a37672ac6ed8e3c1f863cb77010a506 | c4eb0ca1aadb76ad892114230473034830116362 | refs/heads/master | 2022-06-11T01:17:39.636461 | 2020-12-08T17:42:08 | 2020-12-08T17:42:08 | 177,675,796 | 1 | 0 | MIT | 2020-03-31T20:35:17 | 2019-03-25T22:43:40 | Python | UTF-8 | Python | false | false | 10,433 | py | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import pyt... | [
"noreply@github.com"
] | yunhaoling.noreply@github.com |
53d89cc1f1796b277ee380a6a9c9f66fd6838149 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/139/usersdata/247/61611/submittedfiles/diagonaldominante.py | 4c46b3db468eb5120f665f18eaa6860ff491cb18 | [] | 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 | 117 | py | # -*- coding: utf-8 -*-
i=1
n=int(input('d'))
cont=0
while i<n:
if i%2==1:
cont=cont+i
print(cont)
| [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
f5adb7580c35fab602f541d4ce123c7b11f7f72e | e8486731cced94056574e92f8d7fb11b36d49518 | /zzh/zzh/spiders/spiderbase.py | 5be799e750055e5fdef78b85a08641bea235d740 | [] | no_license | jinuoA/spider_zzh | 3bef91350b0794ef22dc60a261e890b82c08e99b | 3db097b28679b520d2abedac05e544f98b0b89e2 | refs/heads/master | 2022-12-11T10:01:12.685038 | 2019-05-06T03:05:45 | 2019-05-06T03:05:45 | 185,114,452 | 0 | 0 | null | 2022-12-08T01:45:15 | 2019-05-06T03:04:27 | Python | UTF-8 | Python | false | false | 4,952 | py | # coding=utf-8
from scrapy import log, Request
from ..scrapy_redis.spiders import RedisCrawlSpider
import traceback
from selenium import webdriver
import time
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
import json
import copy
import importlib
import hashlib
from HTMLParser import HT... | [
"wangjun@zhengzihui.com"
] | wangjun@zhengzihui.com |
d46b43e86a84e08abbee21355406b53589c0d6b4 | 4b7324621542b007c4379efc3e6e3fa28ef61bdf | /insertion_sort.py | 405746d03fd765d5cff8680de4868c41694c4c9d | [] | no_license | dbuscaglia/hackerrank_practice | 9ce6290c74e3115174d732e61f5ec9b53332785f | 3e360225adcac08bec2858d7392ccc6bacf24704 | refs/heads/master | 2021-01-13T02:32:33.638657 | 2015-08-24T20:23:18 | 2015-08-24T20:23:18 | 41,325,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py |
def sort_numbers(s):
count = 0
for i in range(1, len(s)):
val = s[i]
j = i - 1
while (j >= 0) and (s[j] > val):
count += 1
s[j+1] = s[j]
j = j - 1
s[j+1] = val
return count
n = input()
for iterate in range( n ):
x = input()
a = [ ... | [
"daniel@mylively.com"
] | daniel@mylively.com |
4d068327d644e12ccaf00e9cc933c0fc2aa829f0 | ac5808a7d70cb457e2585ad369aff013d4eaaed6 | /s2-061.py | d2d5b41b20c620862085678a1f652d3d0de1bcca | [] | no_license | w9w/CVE-2020-17530 | ca73e1d9042a3d4243efb9bba520c1bf06a2bcb0 | 6ca6298e420a2ad974ea164c19703b1400351da4 | refs/heads/main | 2023-01-27T18:22:28.534988 | 2020-12-11T17:21:10 | 2020-12-11T17:21:10 | 320,619,487 | 0 | 0 | null | 2020-12-11T16:00:12 | 2020-12-11T16:00:11 | null | UTF-8 | Python | false | false | 1,142 | py | # 2.0.0 ~ 2.5.25
import requests
import args
parser = argparse.ArgumentParser()
parser.add_argument("-u", "--url", help="url to check", action="append")
args = parser.parse_args()
args.url = str(args.url).replace("['", "")
args.url = str(args.url).replace("']", "")
url = "%s/struts2_showcase_war/hello.action" %args.ur... | [
"noreply@github.com"
] | w9w.noreply@github.com |
a22a427fb6779742735f03a5727f7fa1e25dee6d | 34c2aaf784356c3445edabbe83acfa7b71b3fa6c | /Batch2/webapp/app.py | 7dcb6947d6953a4f0bd583979bec58f298ae758d | [] | no_license | ccw7/BootUP_maxis_data_science_level_2 | 1d7bf888ecd957d3c79804e33bc7e8e65dce351b | 3cbd01e663021a6858d18054bee7c28ea2e4a5f5 | refs/heads/master | 2023-06-09T15:06:36.495618 | 2021-06-19T03:13:26 | 2021-06-19T03:13:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 302 | py | from flask import Flask
app = Flask(__name__)
@app.route("/",methods=['GET','POST'])
def main():
return "Hello from Flask"
@app.route("/predict",methods=['GET','POST'])
def main2():
return "Hello from ML model - telecom churn prediction"
if __name__=="__main__":
app.run(debug=True) | [
"anshuspandey@gmail.com"
] | anshuspandey@gmail.com |
a8dd093e465a4f7450799f4fda9aa351634db949 | 7508a50ee82a59bde3b2e443b6ef4813b8738c9e | /stuck1.py | 8292164be61e9e950f0add6dc54bfe43535f2ac4 | [] | no_license | joinalahmed/ttgen | b2c7fc39621768b8d34f0518457de997cc02f233 | c19d30b805ab4718f9b7395cbb7cb19dfb7ed035 | refs/heads/master | 2021-01-10T23:28:14.761892 | 2017-04-30T15:25:31 | 2017-04-30T15:25:31 | 70,583,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,375 | py | import sys
import subprocess
from PyQt4 import QtGui, uic
qtCreatorFile = "/home/joy/Desktop/test/stuckat1.ui" # Enter file here.
Ui_MainWindow, QtBaseClass = uic.loadUiType(qtCreatorFile)
class MyApp(QtGui.QMainWindow, Ui_MainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
Ui_Ma... | [
"joinalahmed@gmail.com"
] | joinalahmed@gmail.com |
62738953f7c275cdaa4763d7f206d6520e01fb56 | 082e6342ca6872420b2960c64cba484f3852351b | /stocktracker/urls.py | 2cf81d9c7f0d98b2ffee32ec3efde485c6fa0a7c | [
"MIT"
] | permissive | reihtw/stocktracker | 54c7c1dc066d73b9b57836d1ac3ea259d8715632 | fd83862ce47dae1615c445a1bed1a39d3a769e80 | refs/heads/master | 2022-11-23T12:25:56.876883 | 2020-07-25T19:17:55 | 2020-07-25T19:17:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,085 | py | """stocktracker 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-... | [
"rodrigolins@protonmail.com"
] | rodrigolins@protonmail.com |
4a45b3e33893d6c5227a5305e5e04c43a235d96e | ae250bde55856d7de248fc117dd72a9869f37b8b | /code/dataset/split.py | f07c663196e914bc3e7e13579d0fd4c7d6e0556c | [] | no_license | littlepig2013/HIN-Similarity-Survey | 3a5738c1b4e786a4c500b5de08f59a2b6fa7838a | 9179e636aa5280acb7e85dcfee2165300fed5c86 | refs/heads/master | 2021-11-13T06:58:51.608242 | 2017-11-30T08:51:03 | 2017-11-30T08:51:03 | 111,684,812 | 4 | 4 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | import random
fin = open("users_rate.txt",'r')
data = fin.readlines()
userDict = dict()
for record in data:
[userStr, movieStr, ratingStr] = record.split(' ')
if userStr not in userDict:
userDict[userStr] = [(movieStr, ratingStr)]
else:
userDict[userStr].append([movieStr, ratingStr])
TRAINING_RATE = 0.5
fout1 ... | [
"zhuzichen19960417@gmail.com"
] | zhuzichen19960417@gmail.com |
aab29b9633a7d3decbbc59f57fbd3402c63ef5a3 | 65875c8b063e6b154d396f388a2a59425cce6da0 | /Lista_06/Felipe Victor e Pedro Lucas/Questão_1/produto.py | 2c608053389a2aeee20088f536b4e33561ed25bc | [] | no_license | limapedro2002/PEOO_Python | fbcf3af1003a56e64eac9f95e0fedc8d2e2c923b | a099fd45ac189415a493b0183e900514c602915b | refs/heads/main | 2023-04-27T07:39:37.636631 | 2021-05-10T19:17:15 | 2021-05-10T19:17:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 578 | py | class Produto:
def __init__(self, nome, cod, preço):
self.nome = nome
self.cod = cod
self.preço = preço
self.item = None
class ItemPedido:
def __init__(self):
self.item = None
self.nome = None
self.cod = None
self.preço = None
def adicionar(... | [
"80356903+limapedro2002@users.noreply.github.com"
] | 80356903+limapedro2002@users.noreply.github.com |
87060dbac8e6dc69ba2a1fda481d7c8736a91514 | 9a3b88343c740020e676907b87d1f6bfde44cbaa | /DUPMP/Database, User, and Process Management with Python/Section 1/psutil_discspace.py | 2cda48df235ebeb651d238b9eab1b25194f46a63 | [] | no_license | ramksharma1674/pyprojold | 2239f29d06764b53c3f6da89599b3e4560a71190 | 8db6aa2f587c95ffaba9ce3e54975894a702760a | refs/heads/master | 2020-08-17T14:20:27.974040 | 2019-10-17T06:01:43 | 2019-10-17T06:01:43 | 215,677,583 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 195 | py | import psutil
print("disc partitions:")
print(psutil.disk_partitions())
print("disc usage:")
print(psutil.disk_usage('/'))
print("disc io_counter:")
print(psutil.disk_io_counters(perdisk=False))
| [
"ramksharma@yahoo.com"
] | ramksharma@yahoo.com |
3ccdf6ed209887f9451c1262c2dd845d9316aa30 | d14651ed2fa6b2f7fb32e224a2cb15c32c75c2b0 | /chapter1/p129.py | 5097608dfdf9c57785c8b4a90387261c04c85dcd | [] | no_license | gabolecointere/algorithms-and-data-structures | 5895405f786e1343581b3ae31436cb7b36ab06a7 | 56c1bc9a9d56c40e163ba69cd04c09b68d6860ee | refs/heads/master | 2020-04-16T22:55:47.705333 | 2019-01-29T05:19:59 | 2019-01-29T05:19:59 | 165,990,443 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,072 | py | # Write a Python program that outputs all possible strings formed by using
#the characters c , a , t , d , o , and g exactly once.
def permutation(str):
lst = list(str)
# If lst is empty then there are no permutations
if len(lst) == 0:
return []
# If there is only one element in lst ... | [
"gabolecointere21gmail.com"
] | gabolecointere21gmail.com |
45d1c23674f5675682b55aca4e6ed974fc6630c2 | 6f1fee4c59fd3548368dc9c54380abaff759678c | /package_a/src/example_project/application_a/dependency_a.py | 0308f4c11f2b91ef71e83b02b2102f17333498d9 | [] | no_license | cerna/python_pdm_example | f5f0e117b1daea84e0fcb34363019d99be0bfb0c | 67c95b92e8a5aeadf5881b81335345d8dbc4802a | refs/heads/master | 2023-04-13T16:00:28.930236 | 2021-04-20T22:49:13 | 2021-04-20T22:52:09 | 359,969,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39 | py | dependency_for_b = "Some dependency 5"
| [
"jakub.fiser@eryaf.com"
] | jakub.fiser@eryaf.com |
bded93a7a75b4d88c8572e95d498b5a474c0df35 | 4b43b97f5188cdb910f7db612dccb5f944a3de9b | /NYC_Training.py | cd6eb8b9712501648d83f15a299ba094f3b93fa8 | [] | no_license | kiranikram/NYC-Traffic-Jams-RL | 89de6e0d78feb5f91c123cc4f225ea48fc4bef1a | b9c08646a6662390b3323e6e07f3c67e06906077 | refs/heads/master | 2022-09-03T18:45:08.275515 | 2020-05-26T15:22:29 | 2020-05-26T15:22:29 | 256,841,377 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,657 | py | # ================================== TRAINING ==================================
import time
start_time = time.time()
from IPython.display import clear_output
import random
import pandas as pd
print( 20 * "#" + " Attention resetting Q matrix " + 20 * "#")
Q = np.zeros([env.observation_space.n, env.action_space.n])
pri... | [
"noreply@github.com"
] | kiranikram.noreply@github.com |
94dcf60cb414f3bbaf1ec9c048cb9ef470d5f0c7 | caca669828d6d2cd4819b2411e3487c74c4dde3f | /NaDesigner_2021_v.08-07/build/testuserdir/config/nbPython/debug/nbpythondebug/jpydaemon.py.bak | a5ea6b6c54d5c777a378e4f985973779ae38e35a | [] | no_license | Hitbee-dev/NaDesigner | 475552126b92c8c12ca9f0af8bf742a5f61b433c | fd6c1fc6c903168d4e42f8adf8d55b7c24c2eb69 | refs/heads/master | 2023-08-13T20:01:54.263905 | 2021-10-05T14:30:12 | 2021-10-05T14:30:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61,673 | bak | #! /usr/bin/env python
"""
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS HEADER.
*
* Copyright 2010 Oracle and/or its affiliates. All rights reserved.
*
* Oracle and Java are registered trademarks of Oracle and/or its affiliates.
* Other names may be trademarks of their respective owners.
*
* The contents of this ... | [
"jhjeong.esw@gmail.com"
] | jhjeong.esw@gmail.com |
67f6a2cd184f9c608c5cc151e68f08f81eb3c1b2 | 9c4225a9d7c7c1a8ba452856c3192f572c136491 | /FLAlgorithms/trainmodel/models.py | 5141932c9a31fa37af34e32092d917948119dce6 | [] | no_license | Noploop/FedGen | 58e28b1879550adb2eb84159e30558d3549e8ba1 | 7c6441b95b8e49443e7a4c597bd8982d1e3ee233 | refs/heads/main | 2023-09-03T12:51:31.802025 | 2021-11-11T16:51:01 | 2021-11-11T16:51:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,892 | py | import torch.nn as nn
import torch.nn.functional as F
from utils.model_config import CONFIGS_
import collections
#################################
##### Neural Network model #####
#################################
class Net(nn.Module):
def __init__(self, dataset='mnist', model='cnn'):
super(Net, self).__i... | [
"zhuangdizhu@yahoo.com"
] | zhuangdizhu@yahoo.com |
299979bbe9b2eb8b65b2921f4bd2f9e42a541143 | a66f75ac69e3494099886b14aa8c2abad11be89c | /partition_for_transaction.py | e999312058657c109630b1521a90f401ca395b3e | [
"MIT"
] | permissive | ryokugyu/1M_Generalization | fb54b30d5a870f8d8a8c81e96d260cc66aa4f781 | 679ca565e7390af2f2b2d7d85400b339a32a782d | refs/heads/master | 2020-09-29T18:55:56.529124 | 2016-11-18T07:16:05 | 2016-11-18T07:16:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,522 | py | """
main module of partition
"""
#!/usr/bin/env python
# coding=utf-8
import pdb
from models.bucket import Bucket
from itertools import combinations
from utils.utility import list_to_str
_DEBUG = False
PARENT_LIST = {}
ATT_TREES = {}
LEAF_NUM = 0
ELEMENT_NUM = 0
RESULT = []
DATA = []
# compare fuction for sort tre... | [
"qiyuangong@gmail.com"
] | qiyuangong@gmail.com |
a7164741d8765f85189f6b65ca4e7eb3f582d20b | baf503ae0a331b3a71d1692b37b6c7ef96f337f8 | /knn_movie.py | 9e8cca0d151728da1947d867282e108c82dd532d | [] | no_license | mitanachien/Netflix-Movie-Rating-Prediction | 3d34ebf46de67348c6f6d8a9ee973e416c9f4aca | 72e6687c5d76f23f7567c2c7004b407c7e8f781a | refs/heads/master | 2023-05-29T01:27:18.040998 | 2021-06-08T03:04:19 | 2021-06-08T03:04:19 | 351,943,923 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,020 | py | # Note: run avg_movie_rating.py first
import pandas as pd
import numpy as np
from sklearn.metrics import confusion_matrix
import time
from scipy import stats
from statistics import mean
from sklearn.metrics import accuracy_score
print("Loading dataframe")
training = pd.read_pickle('training.pkl')
test = pd.read_pickl... | [
"daniellenicolehancock@gmail.com"
] | daniellenicolehancock@gmail.com |
ec2eb4274f2ab5c547553a43a9e89cf4b30551d7 | ad357cfbec64afb8f4cc4043b212996768f9755c | /api/barriers/serializers/mixins.py | 0bf4ea3db58f439746d9c561c10c87ca5eb2913b | [
"MIT"
] | permissive | uktrade/market-access-api | 6b4680e6455eb5c25480ccd3e3d9445654269f36 | 4da26d1be53843d22411577409d9489010bdda09 | refs/heads/master | 2023-08-30T14:47:10.373148 | 2023-08-29T13:58:08 | 2023-08-29T13:58:08 | 131,856,014 | 2 | 3 | MIT | 2023-09-14T08:04:42 | 2018-05-02T13:38:37 | Python | UTF-8 | Python | false | false | 3,729 | py | from rest_framework import serializers
class LocationFieldMixin(metaclass=serializers.SerializerMetaclass):
# Use metaclass to get the fields registered at the serializer where the mixin is used
# The field will need to be listed on the serializer using this mixin
location = serializers.SerializerMethodFi... | [
"noreply@github.com"
] | uktrade.noreply@github.com |
9cf7cec01238c998b248e87e2b9351a252bbf803 | ee8a3bd3504aca8dd90f66681a3debd54bd3b0d3 | /mvurruti/processors/svm/svm2.py | 78385362b15a6ec3b6d33ba9293e2f8f5928cf5f | [] | no_license | scipp-ilcadmin/scipp_processors | 8927994ba8f206323054f5ce2c0f9d8f7d7da780 | 24a183d3b1251d6d37a19f8d7eebcc75a9a858a5 | refs/heads/master | 2020-03-11T16:44:40.106096 | 2019-12-12T08:00:06 | 2019-12-12T08:00:06 | 130,126,202 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | import time
import argparse
import ROOT
#list of root files as input
#loop through input files and plot based of the types (S,V,M)
#Start w/ vector true alone.
#plot all true vectors of diff root files in same plot
roots = ["bbsignal.root","bwsignal.root","wbsignal.root","wwsignal.root"]
files=[]
for file_name in ro... | [
"ilcadmin@atlas04.ucsc.edu"
] | ilcadmin@atlas04.ucsc.edu |
028cc16ce14161cfa50a6f6a3ec2903c72b388fc | 0f46f4229c763f6908905d41f2dee7d420bad3d0 | /Slave/slave-douban/douban/spiders/douban.py | 4b45e119a814d2af8ea2ddcfc025c4614b8196af | [] | no_license | csrgxtu/Sauron | c572f20be7eeff1955b77f266f068611a8b0010c | 43a9918342f5dc2582f13a6fc254c67fd43752dd | refs/heads/master | 2021-01-10T13:16:25.129341 | 2015-12-07T06:02:43 | 2015-12-07T06:02:43 | 46,249,450 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 12,553 | py | #!/usr/local/bin/python
#-*- encoding:utf-8 -*-
import json, unirest
from scrapy.spiders import Spider,Rule
from scrapy.selector import Selector
from scrapy.linkextractors import LinkExtractor as sle
from collections import OrderedDict
import logging
from scrapy import signals
from scrapy.xlib.pydispatch import dispa... | [
"tianzhaixing@126.com"
] | tianzhaixing@126.com |
d10439b40f3387f1947cdc3cc6db7738ca628790 | 59537ab04a54e0b8a00c5de06f99b755851d4932 | /src/algorithm/data_structures/queue.py | 300cf75b3a31ce421b533c47b8db49baf4f301df | [] | no_license | xqhu2008/Larva | c360af0fb0d4b91e3d12bd7abe6fb3f09e638b9a | cc5850cd8d8e2ed844b39d06998c43356f53a284 | refs/heads/master | 2021-01-13T21:50:30.970956 | 2020-03-07T03:08:44 | 2020-03-07T03:08:44 | 242,505,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,097 | py | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
'''
queue.py:
queue data structure implementation used python
'''
import random
class Queue:
def __init__(self):
self._queue = []
def enqueue(self, item):
self._queue.insert(0, item)
def dequeue(self):
return self._queu... | [
"xqhu2008@hotmail.com"
] | xqhu2008@hotmail.com |
0345e3681a7ffcb47a73df6e4b2513cd6b8aba8a | 0c99bbbcd3845a26cb1e0c67f7ae3efbf02ff7bf | /src/app/env_vars.py | 0b8cf91cb00c62baf40ab2c6b91ef73bf603d72b | [
"MIT"
] | permissive | DigitalGeographyLab/hope-aqi-archiver | 20f1774b85ec743fb220a0555765e0d76e742983 | 13a42c0def97d69870ed3a04f11d21e673d9404d | refs/heads/master | 2020-12-13T02:15:08.168600 | 2020-02-13T10:58:42 | 2020-02-13T12:44:15 | 234,285,597 | 0 | 1 | MIT | 2020-02-09T18:28:46 | 2020-01-16T09:40:23 | Python | UTF-8 | Python | false | false | 881 | py | import os
from glob import glob
import csv
import traceback
from app.logger import Logger
def set_env_vars(log: Logger):
try:
found_secrets = False
for var in glob('/run/secrets/*'):
k=var.split('/')[-1]
v=open(var).read().rstrip('\n')
os.environ[k] = v
... | [
"joose.helle@gmail.com"
] | joose.helle@gmail.com |
0a3c8dbe5801337e199918aea0ad1750be687380 | 224459455cda5cc97511c200ee6200038e2d415b | /meshdynamic/meshDynamic-Density.py | 51cda0fd7015ab6166cc279518c001e6dcd14ae9 | [
"MIT"
] | permissive | deepkashiwa20/DeepUrbanEvent | d252a659a875030c300f1ce10127dc3158e0cd97 | 69292578d2a2d5d47ae50f0ea2f3810f5199a1c5 | refs/heads/main | 2023-07-18T09:58:26.442342 | 2021-08-24T02:43:13 | 2021-08-24T02:43:13 | 383,077,914 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,307 | py | import csv
import numpy as np
import os
import sys
import time
import jismesh.utils as ju
import pandas as pd
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
from common.datastructure.Point import Point
from common.datastructure.Mesh import Mesh
# m... | [
"jiangrh@csis.u-tokyo.ac.jp"
] | jiangrh@csis.u-tokyo.ac.jp |
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