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e244afe21842d52ced891cd2c82f5a5dc61e1701 | 658e2e3cb8a4d5343a125f7deed19c9ebf06fa68 | /course_DE/Udacity-Data-Engineering-master/Data Pipeline with Airflow/Production Data Pipelines - Exercise 1.py | 2189c509168783ee7e6770e7df5d77f68ffca7c2 | [] | no_license | yennanliu/analysis | 3f0018809cdc2403f4fbfe4b245df1ad73fa08a5 | 643ad3fed41961cddd006fadceb0e927f1db1f23 | refs/heads/master | 2021-01-23T21:48:58.572269 | 2020-10-13T22:47:12 | 2020-10-13T22:47:12 | 57,648,676 | 11 | 9 | null | null | null | null | UTF-8 | Python | false | false | 2,591 | py | #Instructions
#In this exercise, we’ll consolidate repeated code into Operator Plugins
#1 - Move the data quality check logic into a custom operator
#2 - Replace the data quality check PythonOperators with our new custom operator
#3 - Consolidate both the S3 to RedShift functions into a custom operator
#4 - Replac... | [
"f339339@gmail.com"
] | f339339@gmail.com |
bf0ed9214a5348f09e8400bef9fa1eaedeb2800b | a2db83bda49ef23a49949d4730ea6d8b85ea7790 | /tgenv/bin/rst2html.py | e38129ccaeb851156432365cff1535757f8428d8 | [] | no_license | garrettmc/TGWikiTutorial | 18d0577845ec8c22245b5fa23f9e72b7ddf0c5cf | fcf1955cafc34c25986a14b841a9f05d11dd86d0 | refs/heads/master | 2021-01-10T18:37:36.724065 | 2014-12-20T00:46:00 | 2014-12-20T00:46:00 | 28,248,656 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 653 | py | #!/Users/garrett/Documents/InfoPogo/GitHub/TGWikiTutorial/tgenv/bin/python2.6
# $Id: rst2html.py 4564 2006-05-21 20:44:42Z wiemann $
# Author: David Goodger <goodger@python.org>
# Copyright: This module has been placed in the public domain.
"""
A minimal front end to the Docutils Publisher, producing HTML.
"""
try:
... | [
"garrett@Garretts-Mac-Pro.local"
] | garrett@Garretts-Mac-Pro.local |
616872fb1ce3082ace8c174bd99afa40e1fef1d8 | eb34fba79aceb38feaa78e148e3051603ae82474 | /Sanity/Chapter1.py | a985aa0e12c281bb2f08a7a4d0e3b6e40a53d004 | [] | no_license | RakeshDevopsPy/com.theautomatedtester | a5202c58db4451ca0fd607bec01cfecc482b77d9 | acc21172236c141b4030ba6c25d296772b21ae25 | refs/heads/master | 2021-03-29T00:03:01.335392 | 2020-03-17T07:40:09 | 2020-03-17T07:40:09 | 247,907,093 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 176 | py | from selenium import webdriver
import time
driver=webdriver.Chrome()
driver.get("http://book.theautomatedtester.co.uk/")
driver.maximize_window()
time.sleep(2)
driver.refresh() | [
"Tejasree.Krishnammagari@landisgyr.com"
] | Tejasree.Krishnammagari@landisgyr.com |
0fe346359edc276de2c737c0eb967f27d570aafe | 6ac77834909c485686638d27c0bf41e6d1765cf7 | /src/mapping/writer/mysql_hbase_hawq_writer.py | 79911c5ab6d7c61ed2a50ecbcdabf8ecb5943d18 | [] | no_license | YangXinNewlife/gears | 4144e451861efb0f3ae1d738eb5fcd6cec46a833 | 486b1ce5a7b8d8682bb1394be8f5dd6ae0fca837 | refs/heads/master | 2021-01-20T01:41:30.074696 | 2017-05-26T08:17:45 | 2017-05-26T08:17:45 | 89,316,766 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 221 | py | # -*- coding:utf-8 -*-
__author__ = 'yx'
from src.mapping.writer.writer import Writer
class MysqlHBaseHawqWriter(Writer):
def __init__(self):
pass
def convert_data_type(self, data_type):
pass
| [
"yangxin@zetyun.com"
] | yangxin@zetyun.com |
107ba4ec948047de9c4b2d500a7aba9b07f2cc54 | 780011f6f6f8bfea1073b2e2c9762891776f552a | /2. face training.py | 0753972434297414b9de6bf7d9cf237d33dcc17e | [] | no_license | cuongnv70/FaceRecognition | a5f4fcd3ebc3f76a32ced73e55b6d7241060440b | 9777adb9f8a18ffd154f26695f8a3e5c6b832008 | refs/heads/main | 2023-01-09T23:33:51.873197 | 2020-10-31T07:46:44 | 2020-10-31T07:46:44 | 308,830,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,476 | py | ''''
Đào tạo nhiều khuôn mặt có trong dataset
==> Mỗi khuôn mặt phải có một ID số nguyên bằng số duy nhất là 1, 2, 3, v.v.
'''
import cv2
import numpy as np
from PIL import Image
import os
# Đường dẫn ảnh khuôn mặt
path = 'dataset'
recognizer = cv2.face.LBPHFaceRecognizer_create()
detector = cv2.CascadeClassifier("... | [
"noreply@github.com"
] | noreply@github.com |
7bba5d8fd1bd54efec43b3b29ca9afb5a43a8368 | e4a0402114702d8e8b5f4b6f8585200358d4ccf9 | /training/config.py | f54f7fb5c39a88ea8cd47fcfa810de26aaa4b213 | [] | no_license | jbdatascience/self-attention-music-tagging | 2cbd6beb3e357b3d7aefc908cf50a995bd439163 | 2122c265d8c66ade43cff70fc8b585f21756d497 | refs/heads/master | 2023-04-09T05:19:04.936812 | 2020-10-30T03:01:15 | 2020-10-30T03:01:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 848 | py | class Config(object):
def __init__(self,
back_end,
conv_channels,
attention_channels,
attention_layers,
attention_heads,
attention_length,
num_class,
batch_size,
attention_... | [
"sanghyuk.chun@gmail.com"
] | sanghyuk.chun@gmail.com |
c8bb8be2b7b980a1af94cd61d72a7b573d2fad49 | 608052e735474dc4dffc129f80dc70407a1cf7db | /make_xml_from_feature.py | e748988a1e63a1f0da4168780757cee470db706e | [] | no_license | 646677064/tools | 389595517271c6d4a407848dc6572082b6d59826 | 8e857e7634b5690430111446bdd4fcd76850fa43 | refs/heads/master | 2020-03-11T18:24:29.754483 | 2018-04-19T07:33:54 | 2018-04-19T07:33:54 | 130,176,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,278 | py | import numpy as np
import os
import sys
import argparse
import glob
import time
#import _init_paths
from units import SClassifier, AverageMeter, convert_secs2time
import caffe
import scipy.io as sio
import sys,os,subprocess,commands
from subprocess import Popen,PIPE
import random
import math
# from fast_r... | [
"liushuai@tunicorn.cn"
] | liushuai@tunicorn.cn |
e9f8df1e669df7bb971e196bef4e8f0b517d633e | ca17bd80ac1d02c711423ac4093330172002a513 | /goodyhandy/FirstMissingPositive.py | 9988bcba209286d3584cc6e41ed5e95b6469f9f4 | [] | no_license | Omega094/lc_practice | 64046dea8bbdaee99d767b70002a2b5b56313112 | e61776bcfd5d93c663b247d71e00f1b298683714 | refs/heads/master | 2020-03-12T13:45:13.988645 | 2018-04-23T06:28:32 | 2018-04-23T06:28:32 | 130,649,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 531 | py | class Solution(object):
def firstMissingPositive(self, A):
"""
:type nums: List[int]
:rtype: int
"""
length = len(A)
for i, num in enumerate(A):
if A[i] != i + 1:
while A[i] != i + 1:
if A[i] <= 0 or A[i] > length or A[A... | [
"zhao_j1@denison.edu"
] | zhao_j1@denison.edu |
12a195aa8d4e62c4e95cde855a819abf7d531f49 | f73a20969a41cc5ff51c449a5c8bc9f066251fe7 | /train.py | 6483ec54b5e49fa549ee98a7a97999939f7ffb24 | [
"MIT"
] | permissive | eungbean/knowledge-distillation-cifar10 | af092d08df3a289835b6868c0dc6fddccf936581 | 683379804c8724d097a845cee85f130b6767dbd7 | refs/heads/master | 2021-12-07T02:25:12.813212 | 2019-10-30T01:21:26 | 2019-10-30T01:21:26 | 218,184,257 | 1 | 0 | MIT | 2021-09-08T01:23:11 | 2019-10-29T02:07:34 | Python | UTF-8 | Python | false | false | 17,514 | py | """Main entrance for train/eval with/without KD on CIFAR-10"""
import argparse
import logging
import os
import time
import math
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
from torch.autograd... | [
"eungbean@yonsei.ac.kr"
] | eungbean@yonsei.ac.kr |
2224c4722a23ff2f4f9c86984146a37d9ca3749e | e76ea38dbe5774fccaf14e1a0090d9275cdaee08 | /src/media/cast/rtp_receiver/rtp_parser/rtp_parser.gyp | ade15eebff42e9f6af9baf7ca1709eba30e3b3e3 | [
"BSD-3-Clause"
] | permissive | eurogiciel-oss/Tizen_Crosswalk | efc424807a5434df1d5c9e8ed51364974643707d | a68aed6e29bd157c95564e7af2e3a26191813e51 | refs/heads/master | 2021-01-18T19:19:04.527505 | 2014-02-06T13:43:21 | 2014-02-06T13:43:21 | 16,070,101 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 569 | gyp | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'target_name': 'cast_rtp_parser',
'type': 'static_library',
'include_dirs': [
'<(DEPTH)/',
'<(DEPTH)... | [
"ronan@fridu.net"
] | ronan@fridu.net |
8ef80e1dd722b7f1fd3ae65c0ac896ff6de6dc4c | f83729a558721ff17dfc91767e80a689808597cc | /viraloverlay/viraloverlay.py | f0f033d6b9240cfcba7ff7eb7cac860e832cbf6c | [] | no_license | zevaverbach/viraloverlay | 703364c6675a8a54cc696030ebd92fbeb63b3391 | a4a61437fa92ccd2aa7ecaa9c52e1f1a17cb92f1 | refs/heads/master | 2020-04-20T21:50:45.333683 | 2019-03-09T03:09:52 | 2019-03-09T03:09:52 | 169,120,955 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,027 | py | import json
import math
import os
from pprint import pprint
import sys
from subprocess import check_output
from .config import (
APPEND_TO_OVERLAID_VIDS,
FONT_COLOR,
FONT_SIZE,
TEXT_POSITION_X,
TEXT_POSITION_Y,
MAX_ARG_CHARS,
)
from .custom_types import Numeric
f... | [
"zev@averba.ch"
] | zev@averba.ch |
d5a6333eedb40b22f342c751d3803cda984846d0 | 33cbc171f4f2f6e1493eed6da6f2b8e80d284747 | /respuestas_encuestas/admin.py | a696dbb5c6d3c67e9f906dd285e71199994bddb0 | [] | no_license | mauronet/crm | 963aeddd4cdfa1d44eb2add3e6d0cfaa9f72cd8f | 972306a89b3c8978975408d0b27269c8f87639d3 | refs/heads/master | 2020-05-21T00:26:49.812126 | 2014-09-07T13:12:09 | 2014-09-07T13:12:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 223 | py | from django.contrib import admin
from .models import RespuestaEncuesta
class RespuestaEncuestaAdmin(admin.ModelAdmin):
list_display = ('respuesta', 'votos')
admin.site.register(RespuestaEncuesta, RespuestaEncuestaAdmin) | [
"mrodrigg@gmail.com"
] | mrodrigg@gmail.com |
47a1085793c09d8ff86cf8e73980e0bcd9595eeb | 43461f999228079c9bfee03f0e4043f08426051f | /python爬虫开发与项目实战笔记/通用爬虫/day10/code/SNBook/items.py | cc4533585eccbe86d3f6186bcea51a5c1d717dbc | [] | no_license | MapleStoryBoy/spider | f9af844ae9812fe21141060213ac2677e719ac73 | b014d81d52805f9317e85b66024d047e73d59053 | refs/heads/master | 2020-05-21T18:27:50.585790 | 2019-07-12T10:11:58 | 2019-07-12T10:11:58 | 186,132,575 | 6 | 2 | null | null | null | null | UTF-8 | Python | false | false | 603 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class SnbookItem(scrapy.Item):
# define the fields for your item here like:
parent_type = scrapy.Field()
parent_href = scrapy.Field()
p... | [
"MapleStoryBoy@163.com"
] | MapleStoryBoy@163.com |
229d541d8fb546628d890430fc9fbd401743dc1c | 8043ec8cc28b69f1850d5d5f0cafcd2a43ce0eab | /docs/conf.py | e8d5c7666af5c51922fdb76f65a66713d6631143 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | ach0o/boilerplate_flask_sqlalchemy | d0ab9b8ae80617de1c3e7b39525f70e4a39bd18b | 9a6a89e359b446651dff5064e4b37b8bc70fdcc1 | refs/heads/master | 2023-02-10T15:46:17.576226 | 2019-07-28T10:32:01 | 2019-07-28T10:32:01 | 165,043,068 | 0 | 0 | MIT | 2023-02-02T06:32:16 | 2019-01-10T10:52:41 | Python | UTF-8 | Python | false | false | 5,656 | py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | [
"88soldieron@gmail.com"
] | 88soldieron@gmail.com |
3efa87d0b1435b7ff792fe5481378d70cc3f6640 | 8649511435eb30d692471088a1b7c820f42343fc | /textbox/data/dataset/multi_sent_dataset.py | 683841c9fdb90cebe60c3397819ed9d08e527c31 | [
"MIT"
] | permissive | Richar-Du/TextBox | 3858cf0e43fcce0d879c8485df9fed6eda3879c6 | bb828118665e5a1183318ea5ba9368db052fb540 | refs/heads/main | 2023-03-24T15:35:05.791439 | 2021-02-24T01:55:00 | 2021-02-24T01:55:00 | 343,679,215 | 0 | 0 | MIT | 2021-03-02T07:11:17 | 2021-03-02T07:11:16 | null | UTF-8 | Python | false | false | 7,476 | py | # @Time : 2021/2/3
# @Author : Tianyi Tang
# @Email : steven_tang@ruc.edu.cn
"""
textbox.data.dataset.multi_sent_dataset
########################################
"""
import os
from textbox.data.dataset import AbstractDataset
from textbox.data.utils import tokenize, split_data, build_vocab, detect_restored, dump_da... | [
"1020139164@qq.com"
] | 1020139164@qq.com |
d92ae14ec4a5f7f378a2afd59049a7861ff896ad | cf58c2c216f6c76c71b5a04f72d79fb1d58e4b64 | /tests/components/modbus/test_init.py | 90fc0c086e8b3925d523bda0e1e2adfab5a83adb | [
"Apache-2.0"
] | permissive | whtsky/home-assistant | c301a7a0c2f8e94806d411b705c8f7b5939355d2 | 2ea5811e3a34e228908802e18c29af1c2fc249c5 | refs/heads/dev | 2023-08-19T07:37:29.365289 | 2023-02-17T22:21:28 | 2023-02-17T22:21:28 | 204,410,639 | 1 | 0 | Apache-2.0 | 2023-02-22T06:14:25 | 2019-08-26T06:30:12 | Python | UTF-8 | Python | false | false | 27,086 | py | """The tests for the Modbus init.
This file is responsible for testing:
- pymodbus API
- Functionality of class ModbusHub
- Coverage 100%:
__init__.py
const.py
modbus.py
validators.py
baseplatform.py (only BasePlatform)
It uses binary_sensors/sensors to do black box testing of the read calls.
"""
... | [
"noreply@github.com"
] | noreply@github.com |
b313f11a5449630aeac14c8c12fc7b7444fdc85a | 2cef313487b916ad27ee668e5d34da6670c0c27a | /parsers.py | 2e530a1b4ac6524047ce1ec3241c98fdb2ed418c | [
"MIT"
] | permissive | hgkahng/pysc2-defogging | 52b43d38dd197315da4858fe8029c79d6c11d20b | dcb622c874fcc8f004ad0cab7ca94f33d44d5893 | refs/heads/master | 2023-01-08T13:46:11.588111 | 2020-11-01T13:50:25 | 2020-11-01T13:50:25 | 309,101,715 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,404 | py | # -*- coding: utf-8 -*-
"""
1. ParserBase
2. ScreenFeatParser
3. MinimapFeatParser
4. CustomSpatialParser
"""
import os
import shutil
import collections
import numpy as np
import scipy.sparse as sp
from absl import flags
FLAGS = flags.FLAGS
class ParserBase(object):
"""A... | [
"hgkahng@korea.ac.kr"
] | hgkahng@korea.ac.kr |
313272182e4a107138a4a0aeb3fd35388773dbb4 | 3fb93b805cd9c6d19f21a443001fec4597f9105f | /scripts/uncertainty_scripts/train_pfrot.py | e11123f11ef5312baed60581c97980407a5f8a7e | [
"Apache-2.0"
] | permissive | neuroailab/curiosity_deprecated | c3a5a28d93b5bb0d923719c8fe289cfc9a9feec3 | 65f7cde13b07cdac52eed39535a94e7544c396b8 | refs/heads/master | 2021-08-15T08:07:34.845737 | 2017-11-15T19:35:45 | 2017-11-15T19:35:45 | 69,374,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,621 | py | '''
Random actions, after index mismatch bug.
'''
import sys
sys.path.append('curiosity')
sys.path.append('tfutils')
import tensorflow as tf
from curiosity.interaction import train, environment, data, cfg_generation, update_step
import curiosity.interaction.models as models
from tfutils import base, optimizer
impo... | [
"nhaber@stanford.edu"
] | nhaber@stanford.edu |
e82ef1fcf015a4fc0e894feb02466424a8fb1b62 | d21bcfd92d8bbc4f214af29e801b9929d3ab11ef | /winningstrat_2016.py | fbc47a816d33c84e16cee2293c3226539e648143 | [] | no_license | rvictordelta/practiceproblems | 47dfd46ac1eda11769aab10067be3ce6ab012435 | 362b374b3c275870e909c6c2e6624585250ca825 | refs/heads/master | 2020-08-28T15:41:28.691037 | 2019-11-04T15:02:00 | 2019-11-04T15:02:00 | 217,743,461 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 615 | py | t1= """100
5
4
0 1 0 0"""
t2= """140
20
8
0 0 0 1 0 1 1 1"""
t3 = """100
5
4
1 1 1 1"""
ts = [t1,t2,t3]
def martingaleyeah(s):
l = s.split('\n')
m = int(l[0]) # starting amount
b = int(l[1]) # first bet
flips = [int(x) for x in l[3].split(" ")]
for flip in flips:
if m < b: # assuming ... | [
"rvandusen@4170trading.com"
] | rvandusen@4170trading.com |
1607cc2e583da0dc2499c9cb382f3d5e35ea2501 | 80bb17c3d9ccece1319b991f4f26740c460ad5f5 | /hw06/emacs/emacs.py | 0adaf3267b8c80d29b2eb3369766c677c4198753 | [] | no_license | jozdashh/agra | 4754a7c2eaff0374622a36fbf721a0950cac1644 | aa862971f133d03b30a7d37df421d778e56de813 | refs/heads/main | 2023-05-29T12:30:55.235743 | 2023-04-27T19:54:21 | 2023-04-27T19:54:21 | 350,473,961 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,016 | py | # Estudiante: Josue Peña Atencio
# Código: 8935601
# Fecha: 04/11/2018
from sys import stdin
def kmp_prefix(s):
n = len(s) ; P = [None]*n
i = 0 ; j = P[0] = -1
while i < n-1:
while j> -1 and s[i] != s[j]: j = P[j]
i += 1 ; j += 1
if s[i] == s[j]: P[i] = P[j]
else: P[i] = j
return P
def kmp_search(x, y, j... | [
"noreply@github.com"
] | noreply@github.com |
0650b52e5ba0f028a8b022e6f1bd71a79ff90fd2 | 7b14ef3fa1890c89a9f63825f2fdaaf022161c8d | /rialtows/dto.py | 021508dd4282b79e41bb5d6aa17c77e3dfbc260f | [] | no_license | heid9001/okexbinance_ws_api | ad24ac32996b1fc42fb764886d95fabfbc5627fc | 26f315d9580b24aa8c4a81ce5c6ee54a43062512 | refs/heads/master | 2020-08-12T17:06:34.435805 | 2019-10-13T11:14:24 | 2019-10-13T11:14:24 | 214,806,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 856 | py | from .core import BaseDto, Mapping
import arrow
class ResourceDto(BaseDto):
def __init__(self, data, name):
super().__init__(data)
self.name = name
def __str__(self):
return "%s [ask=%.2f, bid=%.2f]" % (self.name, self.ask, self.bid)
def __repr__(self):
return str(self)
... | [
"heid9001@gmail.com"
] | heid9001@gmail.com |
2d858cf00a434b0b52a700a9a1d5e9e02287d8f5 | 51de952d3bfdadaef0ea9ea72d995fb44322f094 | /py_codes/1_Two_Layer_MLP/MLP.py | e44d47ea2766a329ba25a7fec7c5e422fcf6e3a1 | [] | no_license | 1437363934/MNITS-Classification-with-Neural-Networks | a72075396123ca52e71d1e4ea6a6cb91a04887c1 | 700d7a952a92f4e1e15039fdca8b809d1584d98c | refs/heads/master | 2022-12-23T19:29:52.543426 | 2020-09-28T15:39:17 | 2020-09-28T15:39:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,750 | py | import torch
import numpy as np
from torchvision import datasets
import torchvision.transforms as transforms
from torch.utils.data.sampler import SubsetRandomSampler
# how many samples per batch to load
batch_size = 20
# convert data to torch.FloatTensor
normalize = transforms.Normalize((0.1307,), (0.3081,)) # MNIS... | [
"noreply@github.com"
] | noreply@github.com |
0024cfc6a2431b74278efd18cc57d34ba22a2b61 | 414c5a2d46ad90b6d7102fd7a4339b086678a3c2 | /truthyvalues.py | 807c5754a5a9e62837a64ed0dd9f66ddcee3f8b3 | [] | no_license | paulmcaruana/ProgramFlowControlInPython | 565446f836fa2f93a29e12f15b4cb78a7ae00105 | aefc544e6fc48fc0d7bb82fc3ee46fa0f3f80c33 | refs/heads/master | 2022-04-21T06:32:06.737509 | 2020-04-25T13:53:27 | 2020-04-25T13:53:27 | 258,787,775 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 359 | py | if 0:
print("True") # 0 always evaluates to false as you will see in the output
else:
print("False")
name = input("Please enter your name: ")
# if name: It is better to write this as below until very comfortable
if name != "":
print("Hello, {}".format(name))
else:
... | [
"paul@beambient.co.uk"
] | paul@beambient.co.uk |
016d2f4b0007f8a40384dcd7a57e8d67f5a5f01f | 7708c2526947a86d064fc8b07a579baa332c5575 | /Database/build_db_datasets.py | b0b7c3d3ff443564267cc2ad0962d02df56a6c71 | [] | no_license | shunsunsun/Cell_BLAST-notebooks | d622aea190015e8b76207866889dddbd4dd333a8 | 9baebb4311eaf71670f4852238db7b91157e71b1 | refs/heads/master | 2022-01-19T05:05:30.269257 | 2019-04-21T13:30:42 | 2019-04-21T13:30:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,024 | py | #!/usr/bin/env python
import os
import numpy as np
import pandas as pd
import mysql.connector
from utils import nan_safe
def generate_datasets_meta():
dataset_dict = {
item: [
file for file in os.listdir(item)
if file.endswith(".pdf") and file != "peek.pdf"
] for item in o... | [
"caozj@mail.cbi.pku.edu.cn"
] | caozj@mail.cbi.pku.edu.cn |
8ead2cc76bbb2d6fc24ed27579b4c369e17df37c | af6e4fbc7ccf3a19322d0ba8bda05ece43ea7205 | /sample.py | 8cda191161fa4974ce01ad25b6ea18d6f513d0c7 | [] | no_license | senaprojects/YOUTUBE_VIDEO | bc3d0782693c9589054955629fb075f6c10855c8 | 3d2b4d8ae44a5e35a927b165ed25ee6c4aaa8fc1 | refs/heads/main | 2023-08-19T04:39:11.820006 | 2021-08-23T04:23:42 | 2021-08-23T04:23:42 | 398,971,680 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 75 | py | import pywhatkit as kit
y=input("Enter the playlist :")
kit.playonyt(y)
| [
"noreply@github.com"
] | noreply@github.com |
8bc523a3d7f94a6554ba21f8ade1ce2b4de1c047 | 33643fa32b68acb68154d6e76f79fca436381482 | /resources/examples/test.py | 68453ef707231ed6571de35fd3c211b4c1b5ceb4 | [
"Apache-2.0"
] | permissive | R0X4R/turbo-intruder | 3f562ad2e271d27a471f1113c019a37d58c4acb6 | 8535b2e2edee5f99a64526df3fc1e8466bcb04b6 | refs/heads/master | 2020-07-23T23:58:05.326742 | 2019-09-03T08:48:37 | 2019-09-03T08:48:37 | 207,743,824 | 1 | 2 | Apache-2.0 | 2019-09-11T06:54:31 | 2019-09-11T06:54:27 | null | UTF-8 | Python | false | false | 933 | py | # This is just for making sure the engine works during development
# Launch with java -jar build/libs/turbo-intruder-all.jar resources/examples/test.py /dev/null z z
def queueRequests(target, wordlists):
engine = RequestEngine(endpoint='https://hackxor.net:443',
concurrentConnections=1,
... | [
"albinowax@gmail.com"
] | albinowax@gmail.com |
5821bf541b8ad5152c0a740e1115539500cdd973 | fd4a26ef38bf4fa91af57884fbcea7a0230c097a | /CrowdSupplyDotComScraper/CrowdSupplyDotComScraper/settings.py | dc4ae09126cbdcc3fe52e76d304a732e12c04d2f | [] | no_license | kelvingakuo/Crowd-Funding-Bots | 260cbf89cdb5d1a9c129a0089ba4c6738c32b992 | 00ba5a6fa5f8b2378cd5e27336a2df82902bed43 | refs/heads/master | 2020-03-14T08:38:55.588095 | 2018-04-30T22:41:25 | 2018-04-30T22:41:25 | 131,529,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,306 | py | # -*- coding: utf-8 -*-
# Scrapy settings for CrowdSupplyDotComScraper project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthed... | [
"kelvingakuo@gmail.com"
] | kelvingakuo@gmail.com |
b84c3ca4482e26c4f3ab2a79107e873f9b1656c5 | b3879bc761ac38dab903da57c4061ad79fd70c6d | /курсы пайтон модуль 3/задание 23.py | 14e81b84571b42392d7be1c1572eee18530c2954 | [] | no_license | Ruslan5252/all-of-my-projects-byPyCharm | 4df70cc3a31c4a5d97560fa858a706edcc856299 | 817d5f711408590ea141590ae52c6d888dfa2015 | refs/heads/master | 2023-05-03T01:06:30.156731 | 2021-05-29T13:51:16 | 2021-05-29T13:51:16 | 371,970,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 156 | py | a=1
max=0
while a != 0:
a = int(input("введите число"))
if a>max:
max=a
print("максимальное значение",max)
| [
"r.u.s_2000@mail.ru"
] | r.u.s_2000@mail.ru |
5b9bfc13c5a323f114e11e4cc09c5ee13fb5f784 | 2128204364199ce5a0b8f090615c75af541666ef | /Attendance.py | 3fd550bc925001aa74423444243d32945ebdc48a | [] | no_license | k4kunalll/Attendance-System | 5094abb1b5b62cc8263c90a10b2672ae98620ea0 | 85c5d64ef3a3b8c8849516e291ff6981fdb7c3e7 | refs/heads/main | 2023-01-24T18:55:43.501871 | 2020-12-05T10:31:57 | 2020-12-05T10:31:57 | 318,759,599 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,376 | py | import os
from PIL import ImageTk, Image
import csv
from functools import partial
from tkinter import *
import numpy as np
import pandas as pd
import paramiko
from scp import SCPClient
import time
from sklearn.preprocessing import Normalizer
import mtcnn
from PIL import Image
from os import listdir
from os.path import ... | [
"kunalsahuvic@gmail.com"
] | kunalsahuvic@gmail.com |
febfe65ae8c61e9e2ee00a30f5a65ef5d45eb9df | 6b8c3974d3ce5f7841e51dcb406666c0c5d92155 | /heat/heat/tests/test_sahara_templates.py | 4a887b85c2db0dce48627fc26ea234c8235c9a1b | [
"Apache-2.0"
] | permissive | swjang/cloudexchange | bbbf78a2e7444c1070a55378092c17e8ecb27059 | c06ed54f38daeff23166fb0940b27df74c70fc3e | refs/heads/master | 2020-12-29T03:18:43.076887 | 2015-09-21T07:13:22 | 2015-09-21T07:13:22 | 42,845,532 | 1 | 1 | null | 2015-09-21T07:13:22 | 2015-09-21T05:19:35 | C++ | UTF-8 | Python | false | false | 13,120 | py | # Copyright (c) 2014 Mirantis Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | [
"kiku4@kinx.net"
] | kiku4@kinx.net |
45f0d40c005fd82f923f1c618aed8a16151bee5d | 4efa04e98563e08dd1618525003e5022220780ec | /pypolybuilder/Exclusions.py | d1e4177a838d5d2b1bc3ac4101d208dbcb41e686 | [
"MIT"
] | permissive | lgjun/pypolybuilder | 0bf9c6cde1cbc709f41e943c29e23d04390caec7 | af0e1801305080501b18e45d2383e3466865f19d | refs/heads/main | 2023-03-15T06:38:50.499010 | 2021-03-03T21:57:39 | 2021-03-03T21:57:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 980 | py | '''
Created on Apr 20, 2015
@author: vitor
'''
class Exclusions(object):
'''
classdocs
'''
__exclusion_list = None
__exclusion_extra = None
def __init__(self, exclusion_list, exclusion_extra):
exclusion_list.sort()
self.__exclusion_list = exclusion_list
self.__exc... | [
"bruno.horta@gmail.com"
] | bruno.horta@gmail.com |
623a1d02618a98b846a644d65873a91f693fb8d4 | 21901fb376d67172a9f5dfcddb58ba5dcb83864e | /estadísticas/tamaño_muestras.py | 17a747ab2f39c3ed19e8029681fd2066dc3bf1bf | [] | no_license | LaManoServida/TFM-Biocruces | 977a9f15bbf96d61022df7ba0f491c4169a4cf9c | b126070c415aa4184765f7474a82953dbf1c54ce | refs/heads/master | 2023-01-03T11:13:08.717203 | 2020-10-13T05:09:17 | 2020-10-13T05:09:17 | 262,435,092 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,164 | py | import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from preprocesamiento.funciones import buscar_csv
''' Calcula los tamaños de muestra de los archivos de una carpeta '''
# PARÁMETROS
ruta_carpeta = 'D:/Dropbox/UNI/TFM/datos/3 - Fecha a timestamp'
ruta_grafico = 'Tamaño de muestras - dia... | [
"andoni7@outlook.com"
] | andoni7@outlook.com |
1bb80b25bf87d695dd5433efee4ab2a9b1aa572c | 483508a4e002bcd734b8729459d3e5d5e02aae70 | /number_frequency.py | 27b6776f20516181ec134ca21ebb9c493c09bc5c | [] | no_license | jdavid54/benford_law | 9d54cd539130bc3665080ca801d1bb4db96a18a9 | 3ff9d8358f59fef60f401c290ceb94701613e1b2 | refs/heads/main | 2023-07-18T03:56:18.685081 | 2021-08-25T10:44:37 | 2021-08-25T10:44:37 | 399,751,073 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,069 | py | import numpy as np
import random
import matplotlib.pyplot as plt
# benford's law
# value
l1 = 10000
# size
l2 = 100
freq=[0]*10
x = np.arange(1,10)
'''
a = np.random.randint(1,l1,(1,l2))
print(a)
for i in np.array(*a):
n = int(str(i)[0])
#print(n)
freq[n] = freq[n]+1
print(freq)
plt.bar(x,freq[1:])
#plt.... | [
"noreply@github.com"
] | noreply@github.com |
9b84a3e64e7ca9d613cb149edf544b6042f3e0ce | 6d061520f6d2507d772ddd4cb2f9d39a8963a092 | /Mao/88.py | 3e8943a4af5635f1f5c92403eb8b709ab65a4837 | [] | no_license | SeanXiaohengMao/Leetcode | 54db3d9de024c111e28175ec896dba15aa63b5da | aab53ac5f93c7c8109468c919ec2f5a0de7a1b0f | refs/heads/master | 2020-03-11T04:50:07.518665 | 2018-05-13T21:08:37 | 2018-05-13T21:08:37 | 129,786,316 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | class Solution(object):
def merge(self, nums1, m, nums2, n):
"""
:type nums1: List[int]
:type m: int
:type nums2: List[int]
:type n: int
:rtype: void Do not return anything, modify nums1 in-place instead.
"""
a = m+n-1
while m>0 and n>0:
... | [
"Mstarfish@163.com"
] | Mstarfish@163.com |
a964f2d2d1b7c201506d4e805323c0516c2c46f3 | 47be39fab9443d66a26228fd6966ee67f802da8d | /models/user.py | d91a269e00716b49096cdf3324a048a971b28b1f | [] | no_license | JosueLC/trinos-api | 4689cd739d802e0026b36a99cfd4ea5b3ae5af3b | 5fe043e52428d2288128ff2557f5a74cb5788fcb | refs/heads/main | 2023-08-28T04:44:12.917318 | 2021-10-24T22:50:39 | 2021-10-24T22:50:39 | 420,283,726 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 999 | py | #Python packages
from typing import Optional
from uuid import UUID
from datetime import date
#Pydantic packages
from pydantic import BaseModel
from pydantic import Field,EmailStr
#Classes for User
class UserBase(BaseModel):
id: UUID = Field(
...,
title="User ID"
)
username: str = Field(... | [
"josueflopez@msn.com"
] | josueflopez@msn.com |
6ad1d197d98aacc51bf406e2a0f6e4a567c7be4c | 0c96fa82fed9f5c11deb18c9c13225f9debb2134 | /env/Scripts/django-admin.py | 9e3ccf83f5865ffddd389d1100daec6c34a80d80 | [] | no_license | Amoney22/my-first-website | 71405be5b07e6ef2d905a1b3c472728b9f753a52 | 74e57142cc89f10b922af89dc6cfea6f1b95d491 | refs/heads/master | 2021-01-15T10:57:50.344939 | 2017-08-10T21:15:57 | 2017-08-10T21:15:57 | 99,602,794 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | #!c:\django girls tutorials\env\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"seriesofillusions@outlook.com"
] | seriesofillusions@outlook.com |
1fceeeb430f33f411c419f486b38d0774cab3965 | 838965f73c5ae0d47a68512e431e18200a21097d | /curriculum_vitae/models/project_experiences.py | ae796f8be1d10b7ebb30b58e1759424416b2ee48 | [] | no_license | whitestar592020/Odoo13Development | 61851bc0afd41aef4f06975f477d69a6e6e5d706 | f96745dad88484567511ed07e9f4bd07b6b3afd6 | refs/heads/master | 2023-01-16T02:27:21.814952 | 2020-11-30T06:47:32 | 2020-11-30T06:47:32 | 298,996,876 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 688 | py | from odoo import models, fields
class ProjectExperiences(models.Model):
_name = 'project.experiences'
image = fields.Binary(string="Image")
name = fields.Char(string="Project Name", translate=True)
position = fields.Char(string="Position", translate=True)
responsibilities = fields.Char(s... | [
"noreply@github.com"
] | noreply@github.com |
7772681d2d62d42390bb457998a5fe0649424b02 | d1247c530074efccc62f7538eb8cc354f61a8d38 | /genotype.py | 542e097f76579c61f8a425068c989c854ba3de59 | [] | no_license | Gudzy/ga_segmentation | 9b1c4ef8a0bac57806c7934dc35e1e36db16fa67 | 993dfdfc0543b28a13994c6da022c0ad337b150c | refs/heads/master | 2021-03-14T17:38:11.439099 | 2020-03-12T08:43:31 | 2020-03-12T08:43:31 | 246,780,102 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,675 | py | import numpy as np
from numba import jit
from skimage import io, color
import queue
from tqdm import tqdm
NEIGHBORS = np.array([(0, 0), (0, -1), (0, 1), (-1, 0), (1, 0)], dtype=np.int)
def _graph_to_genotype(image, graph):
que = queue.PriorityQueue()
genotype = np.zeros(len(graph.keys()), dtype=np.int)
... | [
"gustdyn@gmail.com"
] | gustdyn@gmail.com |
701ad972f588196ecf39150a4070c732b52007fe | 0badae2ddd1fe30db5ccf1b9cbbc0fdbd7df42e4 | /leetcode/containsDuplicates.py | a0db15741676bb3ee080fcf6b034556a2ce93def | [] | no_license | danny128373/LeetCode-Challenges | 17fe336a1076914e72d2ce9b77aa2f2b24305ad4 | 8d332d473e7231cf1dff9faebe766f7779b61fdd | refs/heads/master | 2023-01-08T23:45:06.149917 | 2020-11-20T17:00:44 | 2020-11-20T17:00:44 | 306,706,338 | 0 | 0 | null | 2020-11-20T17:00:46 | 2020-10-23T17:40:48 | Python | UTF-8 | Python | false | false | 241 | py | class Solution(object):
def containsDuplicate(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
if len(nums) == len(set(nums)):
return False
else:
return True
| [
"daniel.meza29@yahoo.com"
] | daniel.meza29@yahoo.com |
d6ad3b3fcb33608098e33669ace7929712eed35e | ab817e17b79835bdee1e6985520daaf43ded4f85 | /pluginlib.py | f500e09d5e3e6c5d1ba0c39f0a7ba6369a03eb3b | [
"MIT"
] | permissive | thodnev/pluginlib | c36e1b14b6b74c0ca6cf5b283d92f326b00e20c0 | cfeefc5e9bebccef3c22e6f9dfc5583afe0ed559 | refs/heads/master | 2020-06-13T04:02:13.308062 | 2016-12-03T04:46:19 | 2016-12-03T04:46:19 | 75,450,437 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,250 | py | '''
pluginlib: use dynamic python plugins with natural inheritance model
Usage:
1. Define plugin root class by subclassing PluginBase:
class SomeCls(PluginBase):
... some code here ...
2. Write some plugins, that inherit from plugin root:
class MyPlugin(SomeCls):
... extend/add/overwrite met... | [
"noreply@github.com"
] | noreply@github.com |
ddc61bcfaaa6888c845392caf8c5235ba528dfa8 | 0f5ce0c0c49b71ce5866cffee93b2a8537da005c | /app/app/settings.py | 2ff7e7ec1622687a5c70f08bdd81294163ef8965 | [
"MIT"
] | permissive | fr0gz/recipe-app-api | 1fb909dbf2c845238249aa195fba3ff79b830a1e | 68fe19aa2e1caafc9d658a0cdd06323f00b08f09 | refs/heads/main | 2023-01-13T13:25:37.450959 | 2020-11-24T20:41:37 | 2020-11-24T20:41:37 | 315,443,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,146 | py | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 2.1.15.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
# Bu... | [
"cguevarak@fen.uchile.cl"
] | cguevarak@fen.uchile.cl |
62ceb76be57c25a2e488327b27172132967004f9 | 3a13430d694f7c159f73ff91f2cc1d6e46cec5ca | /season/welcome/migrations/0003_remove_order_date.py | 73e1f1c834023be39d7eaa932c004508fcf4f0ea | [] | no_license | drand23andrey/season-shop | 4c236bbd0ea7588db5fcf7de48623fb46d050131 | cb99280e6361a97a8c31485efe44007310131688 | refs/heads/master | 2022-12-01T00:05:57.943736 | 2020-07-09T15:31:35 | 2020-07-09T15:31:35 | 175,046,691 | 1 | 0 | null | 2022-11-22T05:55:51 | 2019-03-11T17:04:25 | JavaScript | UTF-8 | Python | false | false | 329 | py | # Generated by Django 3.0.5 on 2020-04-22 14:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('welcome', '0002_remove_order_last_name'),
]
operations = [
migrations.RemoveField(
model_name='order',
name='date',
... | [
"dushkakruf@mail.ru"
] | dushkakruf@mail.ru |
e54737a669c120405ba1ae40ca1f029499c044b7 | 5660cc796ba00f5090c7de6208c2e0a77c2328ba | /utils/models/__init__.py | dfb823114abe17847e769d9c4a1db4047f2d0b29 | [] | no_license | OMalenfantThuot/scripts_raman | ac65fec1c5ac97a13b8c222e02241f02393f7709 | 2fd42a4b09d33fcf96da4b4d3340f67d21428b18 | refs/heads/master | 2023-07-19T20:11:10.457974 | 2023-07-18T18:15:26 | 2023-07-18T18:15:26 | 193,724,148 | 1 | 1 | null | 2023-08-28T20:00:38 | 2019-06-25T14:29:42 | Python | UTF-8 | Python | false | false | 297 | py | from .model import *
from .dropout_schnet import DropoutSchNet, DropoutAtomwise
from .patches_schnet import PatchesAtomisticModel, PatchesAtomwise
from .smoothtrainer import SmoothTrainer
from .memory_estimation import (
schnet_memory_estimation_for_graphene,
get_graphene_patches_grid,
)
| [
"malenfantthuotolivier@gmail.com"
] | malenfantthuotolivier@gmail.com |
7bf8d2a366551d6774730e60de1d62b78af16d52 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_108/125.py | c96c54037ce532c493eb7d9d77e0a2a5ad1f93b3 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,787 | py | #!/usr/bin/env python
import bisect
import sys
from collections import defaultdict
def main(args):
finname = '%s.in' % args[1]
foutname = '%s.out' % args[1]
with open(finname, 'r') as fin, open(foutname, 'w') as fout:
T = int(fin.readline().strip())
for i in xrange(1, T+1):
num_... | [
"miliar1732@gmail.com"
] | miliar1732@gmail.com |
d0e69f8ba2907a96de17eac4ef173bcbad3780a0 | 16a536eacd586f5a87934fcc999adf551edfe259 | /experiments/common/helper_fxns.py | bbcebf952d32e4350a3e0d3a5a8ff867246d9170 | [] | no_license | teganmaharaj/climate-dl | 5dad87aec737294c100800748fde61ace295d9aa | dd08fb6a85e8635ba86c06e19b4d487f76b45941 | refs/heads/master | 2021-01-11T02:07:09.911603 | 2016-10-10T16:57:04 | 2016-10-10T16:57:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,340 | py | from lasagne.layers import *
import theano
from theano import tensor as T
import lasagne
from lasagne.objectives import *
from lasagne.nonlinearities import *
from lasagne.updates import *
from lasagne.utils import *
import sys
import logging
def get_logger(out_folder):
logger=logging.getLogger('trainlog')
... | [
"ejracah@gmail.com"
] | ejracah@gmail.com |
b754ef64cb90d4767c378a2cfddb81f139ca8828 | ebcfc261ba65b2296e3e3ee409cc6061afaada13 | /psi/jlab/jlab/bin/ipython3 | 15703db575e30ec225c8512cfe0564a7c31c620a | [] | no_license | sosnus/psi | d281f74b9b6f85446ea77ceafd28b73a85567ba9 | cfeb574cbd36c2d233772eaa3221a08b0d40bd56 | refs/heads/master | 2020-04-29T00:45:59.712159 | 2019-03-18T01:46:20 | 2019-03-18T01:46:20 | 175,706,747 | 0 | 0 | null | 2019-03-18T01:46:21 | 2019-03-14T22:02:44 | Python | UTF-8 | Python | false | false | 256 | #!/home/sosnus/python/psi/jlab/jlab/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from IPython import start_ipython
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(start_ipython())
| [
"sosnus15@gmail.com"
] | sosnus15@gmail.com | |
a7db53021d314e8a8940afd0b9d509d6c3431464 | eb64b799ff1d7ef3a244bf8e6f9f4e9118d5cfcd | /homeassistant/components/wilight/light.py | 3236b3b3851a234fc1d369afef91f7753338940f | [
"Apache-2.0"
] | permissive | JeffLIrion/home-assistant | 53966b81b5d5816679f12fc761f79e8777c738d6 | 8f4ec89be6c2505d8a59eee44de335abe308ac9f | refs/heads/dev | 2023-08-22T09:42:02.399277 | 2022-02-16T01:26:13 | 2022-02-16T01:26:13 | 136,679,169 | 5 | 2 | Apache-2.0 | 2023-09-13T06:59:25 | 2018-06-09T00:58:35 | Python | UTF-8 | Python | false | false | 5,995 | py | """Support for WiLight lights."""
from pywilight.const import (
ITEM_LIGHT,
LIGHT_COLOR,
LIGHT_DIMMER,
LIGHT_ON_OFF,
SUPPORT_NONE,
)
from homeassistant.components.light import (
ATTR_BRIGHTNESS,
ATTR_HS_COLOR,
SUPPORT_BRIGHTNESS,
SUPPORT_COLOR,
LightEntity,
)
from homeassistant.... | [
"noreply@github.com"
] | noreply@github.com |
79a4bb8bec0d2d35bfcfb2c239be6aee46b0fd66 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_373/ch4_2020_04_12_18_58_48_907546.py | cde9dac5e0e2b7c03893f3ea611cee967836abd9 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | def classifica_idade (idade):
input(int( 'idade: '))
if idade <=11:
print ( 'crinca')
elif idade >= 12 and idade <= 17:
print ('adolecente')
else:
print ('adulto')
| [
"you@example.com"
] | you@example.com |
4f6c2ddefe3cb20c6fbca82335e3c70b1d4c0626 | bf2ea61883b8dd0074710ac532df35413720e5ec | /UserTask/migrations/0001_initial.py | 8d997be8d514af2cb779c7d6edb3424a0ebe6abc | [] | no_license | Jigar2998/Exam | f068a14d9f54ea4a84da4c2916d83dc28ac98389 | fa6795249961019facf3bd7bf0eab116d161bb2d | refs/heads/master | 2023-03-28T05:13:40.554728 | 2021-03-24T14:57:41 | 2021-03-24T14:57:41 | 350,630,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,415 | py | # Generated by Django 3.1.5 on 2021-03-23 14:48
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='contact',
fields=[
... | [
"jigarkumarramani1998@gmail.com"
] | jigarkumarramani1998@gmail.com |
6405b2626aba482937b14dfeafe8be7ddfd5657d | 6392354e74cce4a303a544c53e13d0a7b87978ee | /m4/socket_correlation/company_review/lock_test.py | 154a5366cb5434bb78837c326d9e8b9c99355720 | [] | no_license | music51555/wxPythonCode | dc35e42e55d11850d7714a413da3dde51ccdd37e | f77b71ed67d926fbafd1cfec89de8987d9832016 | refs/heads/master | 2020-04-11T20:20:38.136446 | 2019-04-01T09:17:34 | 2019-04-01T09:17:34 | 162,067,449 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 937 | py | import time
from threading import Thread,RLock
mutexA = mutexB = RLock()
class MyThread(Thread):
def __init__(self,name):
super(MyThread,self).__init__()
self.name = name
def run(self):
self.f1()
self.f2()
def f1(self):
mutexA.acquire()
print('%s得到A锁'%self... | [
"music51555@163.com"
] | music51555@163.com |
4bbf48067b37dfa9b7a43b74bd31d72cf471611d | 8f8e378c0ce4224244582c506c268edda3cc3b30 | /Common/OpenCV/Day1/open2.py | 6683662896f77c68b9e3b75157a97e725953ee7e | [] | no_license | srsapireddy/Diploma-in-AI_NIELIT_Files | 223318319b2d4b8647d77b99d1ba03f0d6e15cf6 | 9e2ed78fbe03369ebef1aa81f3417fc21bdd4107 | refs/heads/master | 2021-05-17T14:28:00.059617 | 2020-03-29T09:28:04 | 2020-03-29T09:28:04 | 250,820,401 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 114 | py | import cv2 as cv
img=cv.imread('walking.jpg',0)
cv.imshow('img1',img)
print(img)
print(img.shape)
cv.waitKey(0)
| [
"sapireddyrahul@gmail.com"
] | sapireddyrahul@gmail.com |
cfd2f3a4ff73b738da8ead70acf5ea441bdb0daa | ade929eeed0a13bee8e05619536639a32c60c22e | /Task0.py | a6a1e4b1a5b8d19cec83d7a73659f58ce07a3784 | [] | no_license | liuyuan512/Udacity-Python-Project | b2022b1632d73d43de03f1fc8f15029eabc2f0e5 | aca7e65b4bae7f0a6e41ede6180045ca34bf56fd | refs/heads/master | 2021-05-14T05:41:04.135673 | 2018-01-05T05:01:42 | 2018-01-05T05:01:42 | 116,226,482 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 877 | py | """
下面的文件将会从csv文件中读取读取短信与电话记录，
你将在以后的课程中了解更多有关读取文件的知识。
"""
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)
"""
任务0:
短信记录的第一条记录是什么？通话记录最后一条记录是什么？
输出信息:
"First record of texts, <incomi... | [
"liuyuan@liuyuandeMacBook-Pro.local"
] | liuyuan@liuyuandeMacBook-Pro.local |
c517166cc1f3487953498d678a31ad7fb19e3f58 | 11aaa9f4fccab3f05deddb092fc87fd24f08d643 | /music/views.py | fd6f24bc78f369241153d5583e244dbaaacd3efe | [] | no_license | prorammerarc/Django-MediaPalyer | 3282499c739670e74b742932ba133db086e97dcb | b97bedcd662ceff83eb645507cc04deb4956748f | refs/heads/master | 2021-05-11T21:05:12.025427 | 2018-01-14T19:36:04 | 2018-01-14T19:36:04 | 117,460,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,248 | py | from django.shortcuts import render,get_object_or_404
from django.http import HttpResponse,Http404
from .models import Album,Song
from django.template import loader
def index(request):
all_albums = Album.objects.all()
template = loader.get_template("music/index.html")
context = {
'all_album':all_a... | [
"32127426+prorammerarc@users.noreply.github.com"
] | 32127426+prorammerarc@users.noreply.github.com |
b71b434ca0c4d33ae478c5de3fe560b4df6a19b4 | f84dbb215fa3c8917444d69d8a626523ded8ea01 | /utils.py | 7bec8f638356dce37131e8c58611384dc39a198d | [] | no_license | amirunpri2018/style_transfer | 3086963a6315d838db7272b18456d4518f16e103 | f613655a5964f78ed4a81e6051f4a598baf5f7cd | refs/heads/master | 2020-04-11T14:36:55.749802 | 2017-11-20T11:29:44 | 2017-11-20T19:00:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | py | import imageio
# if Keras model has one output, it returns a tensor, otherwise a list of tensors
def make_list(x):
if isinstance(x, list):
return x
return [x]
# auxiliary function to inverse ImageNet preprocessing
def postprocess(x):
x[..., 0] += 103.939
x[..., 1] += 116.779
x[..., 2] +=... | [
"emzajac@gmail.com"
] | emzajac@gmail.com |
a44f361047b27f3505d603357681d2fca47f37b6 | bad686ba27539a3d3286418cc3ebf2aa80ae4958 | /src/pong/full-game.py | 383a097d39786a83f75f9eefa942508b67aa3626 | [] | no_license | AaryaBatchu/micropython | f0a31b579b3a998586f26b92036875c93588eca7 | aef7d33937352e9ab6f9615bfc5bf9aa1a9bee57 | refs/heads/main | 2023-08-19T13:33:15.006432 | 2021-10-23T19:06:26 | 2021-10-23T19:06:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,452 | py | # Pong game on Raspberry Pi Pico with a OLED and two Potentimeters
from machine import Pin, PWM, SPI
import ssd1306
from utime import sleep
import random # random direction for new ball
sda=machine.Pin(0)
scl=machine.Pin(1)
pot_pin = machine.ADC(26)
WIDTH = 128
HEIGHT = 64
i2c=machine.I2C(0,sda=sda, scl=scl)
oled = ss... | [
"dan.mccreary@gmail.com"
] | dan.mccreary@gmail.com |
e94621edc11fd90840ea6da3902f469a1c7f89ca | ef83f030d562bbb0e88bc07f49474c4768a9ad9f | /test.py | 4706e5d9d10a221b6c40765e05b18a2ae417d9ee | [] | no_license | FinnAllen/Machine-Learning | 7eea1e8565645b3377f56a1e02ad9752939d2d19 | e6ad9761928570ce01dbad7b0e78173add975cfc | refs/heads/master | 2021-08-22T14:21:42.555197 | 2020-08-08T00:02:24 | 2020-08-08T00:02:24 | 213,487,329 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | import tensorflow as tf
node1 = tf.constant(3.0, tf.float32)
node2 = tf.constant(4.0)
print(node1,node2) | [
"noreply@github.com"
] | noreply@github.com |
3bbf306660eebd6bf7546e4f3ed1d19ed77db877 | ce981ff3ffc0fe301f0a1a6092dafb491fb67e7d | /comments/api/urls.py | 43b29fc1302df28d37deba22fbf83d54c396db5f | [
"MIT"
] | permissive | videetssinghai/Blog-Rest-Api | 06a630b13a579c49f41cad6e1604dc36704ab32f | e81e0c1969b170cb482d2fdf7f2883efc42c69db | refs/heads/master | 2021-01-12T00:48:55.630129 | 2017-01-11T15:02:25 | 2017-01-11T15:02:25 | 78,300,097 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 296 | py | from django.conf.urls import url
from django.contrib import admin
from .views import (
CommentListAPIView,
CommentDetailAPIView,
)
urlpatterns = [
url(r'^$', CommentListAPIView.as_view(), name='list'),
url(r'^(?P<pk>\d+)/$', CommentDetailAPIView.as_view(), name='detail'),
]
| [
"videetssinghai@gmail.com"
] | videetssinghai@gmail.com |
d104bf3d62088709c04abe85b3ea2c295ccf4b59 | b38666d5710b241930e6ee6ec71c66a14a219d46 | /problem028.py | 355ebc184a773fd9d8ed389ec4fa1096e2e3bc61 | [] | no_license | yosuketanaka/project-euler | 3508bfbf3cdbc60f14d111c95b5c44f69cf85930 | 2cb747fb755684cd574590f168412e9e30e34a97 | refs/heads/master | 2016-09-05T11:12:13.555956 | 2011-12-20T00:50:37 | 2011-12-20T00:50:37 | 2,613,974 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 104 | py | a=[2*n for n in range(1,501)]
y=1
sum=1
for x in a:
sum+=y+x+y+2*x+y+3*x+y+4*x
y+=4*x
print sum
| [
"lazysuits@gmail.com"
] | lazysuits@gmail.com |
10670058ee66bbaa0c344330a9c20c5c2b7523ec | 4e14c0561e539faaf5e081b0d5eb7dda627c97f5 | /time.py | f7b4b67726552a96079cd32d63facdf909470a1e | [] | no_license | amruthaarun/Think-python | 44e7cd7978e3212c676cdf5eb3001aa78d11c76f | 08d7d6b803c2b1f58b11a0024a59fa2b5d77045f | refs/heads/master | 2021-01-21T13:03:59.660906 | 2017-06-04T14:07:08 | 2017-06-04T14:07:08 | 91,806,101 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 340 | py | class Time(object):
def time_to_int(time):
minutes = time.hour * 60 + time.minute
seconds = minutes * 60 + time.second
return seconds
def print_time(t):
print '%.2d : %.2d : %.2d'%(t.hour,t.minute,t.second)
time1 = Time()
time1.hour = 11
time1.minute = 59
time1.second = 30
time1.print_time()
print t... | [
"noreply@github.com"
] | noreply@github.com |
bfb1b0feeb739779d22fd03dc6c1baf01c5a00e2 | 425badd89420156a586421bf26119193eea06f0a | /linkedlists/insert-in-sorted-dll/insert_in_sorted_dll.py | d69fbba02bbf51bef58fc49eb49827425ea40ed6 | [] | no_license | mich-chen/code-challenges | 66c82be05fdc8e9655525649283e2cea9e854916 | 286677fc7be84f8f8a8754c785a39d07a2c5604a | refs/heads/master | 2023-04-19T16:52:51.352926 | 2021-05-04T07:05:32 | 2021-05-04T07:05:32 | 301,622,163 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,803 | py | class DoublyLinkedListNode:
def __init__(self, node_data):
self.data = node_data
self.next = None
self.prev = None
class DoublyLinkedList:
def __init__(self):
self.head = None
self.tail = None
def insert_node(self, node_data):
node = DoublyLinkedListNode(nod... | [
"mich.chen.94@gmail.com"
] | mich.chen.94@gmail.com |
23d2bade3de1ab0aea32326d54633952e7129674 | 2f6a9629aa7497a033ae2836621f65e92529c28d | /homework 5/P6.py | 549f546e17e6f72daaec2c3efbbd0c8b5765292c | [] | no_license | H602602/AI-Python- | 9a4136d989c8f62def423b957c476cb1531dae38 | bcdd4727bf78ca7673d195a603e2a2da9ad06270 | refs/heads/main | 2023-07-27T12:24:31.895467 | 2021-09-15T12:38:37 | 2021-09-15T12:38:37 | 398,769,208 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | a=int(input("Enter a number you want to know the table of "))
i=1
while i<11:
print(a*i)
i=i+1 | [
"noreply@github.com"
] | noreply@github.com |
60d41043584f6d063c4c43e77e9af68f68c35b35 | 54fead852941ba66783fca735dcc9d6f84c1d40b | /eshop_account/migrations/0005_auto_20201229_0922.py | 7c0b14f18d483eaa0d43da3f8bf0d40ea75d1cb3 | [] | no_license | saeide-tohidi/django-ecommerce | 36369686f4c8904fd7be7241a2e356582938cd6f | 9ab524d396b3bada4d326ca4ea416d164b3c8c64 | refs/heads/master | 2023-03-08T13:51:11.424289 | 2021-02-27T13:59:35 | 2021-02-27T13:59:35 | 342,868,421 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 562 | py | # Generated by Django 3.1 on 2020-12-29 05:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
('eshop_account', '0004_auto_20201215_1643'),
]
operations =... | [
"s.tohidi22@gmail.com"
] | s.tohidi22@gmail.com |
91b04f73233aff30c6eca08c2f7dc761d779237c | f497cacd115a08f3901d50362a7412755783c3d9 | /events/forms.py | f8ee7abf416df218903763f37935e0a2e52efe13 | [] | no_license | snregales/UWS | aafa9a9ce3ad06f1b04d0da224d114142d55c16a | 712042d446c06ba42699e26a9aceb7dd77006881 | refs/heads/master | 2020-03-26T15:28:20.178895 | 2018-08-18T22:09:53 | 2018-08-18T22:09:53 | 129,656,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,936 | py | from django import forms
from .models import Event, EventMeta
from utils.utils import get_timestamp
from utils.validations import (
validate_date,
validate_event_name,
validate_participants,
)
class EventForm(forms.ModelForm):
current_year = get_timestamp().year
name = forms.CharFiel... | [
"sharlonregales@gmail.com"
] | sharlonregales@gmail.com |
291d92c0795dd0b5a8b22701412af4dad5921440 | 680c2cc9a733716938f5dc2b8b5469a25f8a16c8 | /123.py | 565ba3fef6d1e12807bcd4fed6c20bbd31a24986 | [] | no_license | e5a27123/hi | c897c6068a6ac5efe66c08d90cdc507092fb8a8a | a7ec9a34d7148c36173187fb794e476725514bf6 | refs/heads/master | 2021-05-23T18:56:45.866291 | 2020-04-06T08:04:52 | 2020-04-06T08:04:52 | 253,426,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 112 | py | high = input('請輸入身高:')
weight = input('請輸入體重:')
print('您的身高體重:',high,'/',weight) | [
"e5a27123@gmail.com"
] | e5a27123@gmail.com |
c42d06f160e74bd4ea815479182bf3aa58950f95 | 78652c075802f77888712447f609ef33012acb12 | /GraphMatchingByConvexPolygon/src/Match_byCrossPoints.py | 6c1c5065fc461e49db0874d2150ef69d89a2b5dd | [
"MIT"
] | permissive | Anonymous772066235/GraduationDesignProgram | 5cfb18e730f284ffce16bbd9291a558541d2a678 | 3337c48005def8515a4660fcaa004dcfbe4766be | refs/heads/main | 2023-03-22T12:11:50.641790 | 2021-03-19T06:44:28 | 2021-03-19T06:44:28 | 336,760,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,449 | py | # File :Match_byCrossPoints.py
# Author :WJ
# Function :
# Time :2021/02/06
# Version :
# Amend :
import LineProcess as lp
import numpy as np
import LaplacianMatrice as laplcian
from scipy.optimize import linear_sum_assignment
import matplotlib.pyplot as plt
import Visualization as Vs
im... | [
"noreply@github.com"
] | noreply@github.com |
4970c6284aaecea5775d6a3a9f128000451133f6 | cc54a6aba8ffaf7cc2c8a7e71a9332c6f4e26507 | /flask_app.py | 00cda83bc7ac474971c9e33c64b3d364a751f64d | [] | no_license | ayc3ue/flask_app | 4c77ed60f53bec0ad70052954dc3a2162d038793 | e567cdbdd915af11b82a16ea4e8801fd8327816f | refs/heads/master | 2020-05-05T05:08:28.980926 | 2019-04-17T02:12:39 | 2019-04-17T02:12:39 | 179,740,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,620 | py | import os
from flask import Flask, flash, request, redirect, url_for, send_from_directory, render_template
from werkzeug.utils import secure_filename
import exiftool
import json
app = Flask(__name__)
UPLOAD_FOLDER = './uploads'
ALLOWED_EXTENSIONS = set(['txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif', 'dll', 'exe'])
app ... | [
"bwz3kt@virginia.edu"
] | bwz3kt@virginia.edu |
3ef70815071e67e660069013519d9ec8cf185aae | 2e011c9f2f4c43a4fca21a2072977fa820e78fe4 | /mysite/settings.py | d86a691a465a40f0a8c0280590a3a71b99097230 | [] | no_license | Lurey-Roshan/Basic_course_django | 7f3210a767889d0cdd0f3a180bb842aa8d26a4ac | 7410d5c6f23fec481fa7a15a1a1f0cacf26c349b | refs/heads/master | 2023-05-06T18:33:05.445232 | 2021-05-27T10:30:58 | 2021-05-27T10:30:58 | 326,722,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,847 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
# Bu... | [
"everforgoodrs@gmail.com"
] | everforgoodrs@gmail.com |
e63b88ed084aef3af607dfd3983492929682e249 | bebacae90aa17ad2ab4c9111a2e5cfa0f8cf13a6 | /Python-3/basic_examples/raw_input_example.py | 98bdf626e06b78a68c079f81f91a901b1a33be39 | [
"MIT"
] | permissive | ayanakshi/journaldev | 5b0d73c53bc9a5292a8629c6c0320196abeab76e | a61cba22232e8cc9c40264c31aaba0bd17ff2522 | refs/heads/master | 2020-03-27T21:52:15.081736 | 2018-08-31T11:51:28 | 2018-08-31T11:51:28 | 147,182,378 | 1 | 0 | MIT | 2018-09-03T09:28:38 | 2018-09-03T09:28:38 | null | UTF-8 | Python | false | false | 61 | py | a = raw_input('What\'s your name : ')
print 'Username : ', a
| [
"pankaj.0323@gmail.com"
] | pankaj.0323@gmail.com |
ebf5338c9d16d52fb1f01ccc605998b512d9edf6 | c6ff2a4484c371efd97ce610832cd9772dd406e0 | /app10_udemy/app10_udemy/wsgi.py | bb40d92d717d10e2eaaa247e3e39c58b6fc183fe | [] | no_license | inderdevkumar/Upload-and-display | 66bbb808be27d47f3ff8d57e663b58b71f62ef71 | 668beb97392f12d4b545937c18f2723919264987 | refs/heads/master | 2022-10-10T01:19:02.044549 | 2020-06-09T12:56:22 | 2020-06-09T12:56:22 | 271,003,802 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | """
WSGI config for app10_udemy project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_S... | [
"id0102yadav@gmail.com"
] | id0102yadav@gmail.com |
add3c5e3953f6df905c0de935b4270629b78a549 | a682abf407ed6563c8ae5ddd2983e388307dabcd | /termanim/__init__.py | 5a8274b6480fb27471874acc47d29aeaddfbf6bc | [] | no_license | sahasatvik/termanim | 838baf7e3388610cd6a33aac66c67d32d5e29ed5 | aa2239e206b7dceb5647a646fa5d4f4c76087b79 | refs/heads/master | 2023-04-30T03:44:06.549829 | 2021-05-13T17:49:56 | 2021-05-13T17:49:56 | 365,275,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | """
An interface for creating graphics and animation in the terminal.
"""
| [
"sahasatvik@gmail.com"
] | sahasatvik@gmail.com |
0fc3634719a0d6a84e782bf164e1e5bb7b18e2b5 | 895cf7d265a7976c9243894bccebf3daa645bc57 | /venv/bin/django-admin | ea08885278bada07ab1206a8cc6a4fc880b79d0b | [] | no_license | HenryM975/D_news | ebab9b443699e7b8925320d7235cf398d3a310c5 | 140be1f6385352265a6c7172261524ce5a302858 | refs/heads/master | 2023-08-05T02:33:20.483347 | 2020-08-01T09:31:18 | 2020-08-01T09:31:18 | 282,980,070 | 0 | 0 | null | 2021-09-22T19:42:46 | 2020-07-27T18:18:05 | Python | UTF-8 | Python | false | false | 289 | #!/root/PycharmProjects/news/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
| [
"hemry975@yandex.ru"
] | hemry975@yandex.ru | |
07dd881dfa838563a5ef9d22778cd9993402dd4c | 22ebcc842dbc933bfa8fdad89b8b8ef48ecc91c7 | /load/load_aes_hd.py | f70ad4aa349abe0942c49ece8386f2b88e6237e6 | [] | no_license | klikooo/thesis-src | 192651c18f243c59cfa588e7052dc1a96ab0a146 | 64f2ee824afdc2d3fd0f98c6d9fcfda597b9ad9f | refs/heads/master | 2020-04-16T18:16:20.638147 | 2019-08-20T14:59:52 | 2019-08-20T14:59:52 | 161,623,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,364 | py | from decimal import Decimal
import torch
import numpy as np
import matplotlib.pyplot as plt
from models.load_model import load_model
from test import test_with_key_guess
import util
import pdb
path = '/media/rico/Data/TU/thesis'
#####################################################################################... | [
"rico12978@hotmail.com"
] | rico12978@hotmail.com |
8c11b619d8bcfc1b32ce88c5f2693cdc3fe40a4c | 33d870b95a1b4761b9912eeef973be8af619c8f0 | /feature_eng/id_ip_join.py | aa4d4191f873480c518aac3e4274f49f47180aaa | [] | no_license | sclau/Avazu-1 | 641857f1949f0c0a4ec556c570da57c2ff213492 | cf1ebdb2be8c37b7789781e16b2f2e7aaa4f4584 | refs/heads/master | 2021-01-17T06:11:25.365314 | 2014-12-06T05:19:43 | 2014-12-06T05:19:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,031 | py | #!/usr/bin/python
import sys
import os.path
sys.path.append(os.path.dirname(__file__))
def read_device():
device_counts = {}
with open("id_ip_count_sort.txt", "r") as f:
lines = f.readlines()
for line in lines:
line = line.strip()
words = line.split('\t')
day, device_id = words[0], words[1]
... | [
"ianchin93@berkeley.edu"
] | ianchin93@berkeley.edu |
97ed4b7b177f9bfd4dd65cf0fe4e612cec5f5ca7 | c68580258e9fbe64bbf232e781d75584691de4c4 | /tests/django_settings.py | 2af62bb352df44c8386b6fd77435541a4214c8d9 | [
"MIT"
] | permissive | KyleAMathews/graphene | 7e092e6e7d9575c1f736d834a2913a63bc753006 | 5738b69271fd245339f35640d375d6bc13092358 | refs/heads/master | 2023-08-31T21:12:22.927712 | 2015-11-30T18:08:12 | 2015-11-30T18:08:12 | 47,149,828 | 2 | 0 | null | 2015-11-30T22:24:27 | 2015-11-30T22:24:27 | null | UTF-8 | Python | false | false | 196 | py | SECRET_KEY = 1
INSTALLED_APPS = [
'examples.starwars_django',
]
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'tests/django.sqlite',
}
}
| [
"me@syrusakbary.com"
] | me@syrusakbary.com |
cd3e3d7ff3cc8d3bc80032f50d00ed482ccfbd91 | c9eb43714afc10d59d3a5c8dc9ac948bcce8da3a | /wordcount_project/urls.py | 1c828ec47b9a478e57a9b9d8a21e3bfce02893f5 | [] | no_license | hyo-ji/wordcount | e6c88ec0fd168c28f9bfa9293227bd17ffc4b039 | 1e32ecb87c5c651cf1b1ae8cddd6351076d6b9ff | refs/heads/master | 2022-11-11T12:12:18.089366 | 2020-07-06T12:27:16 | 2020-07-06T12:27:16 | 277,532,453 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 880 | py | """wordcount_project 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')
C... | [
"gywl21@naver.com"
] | gywl21@naver.com |
6e5f727a122ec1a1829134b85592fba4c0f04981 | 795c2505b1dd77e5e7ce230348dbc4558c11c74e | /week7/9-4.py | 3c295e5fd93cebbb1c6024d6d3e0e62b17fb397d | [] | no_license | mikephys8/The_Fundamentals_pythonBasic | 4326400e6308109606735f092f588bacbf61381b | a0f7386579deb8481f0632bb8c98e0d09392f7c7 | refs/heads/master | 2020-06-04T20:19:01.165552 | 2014-06-30T16:22:41 | 2014-06-30T16:22:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,927 | py | __author__ = 'Administrator'
gradefile = open('student_grades.txt')
def read_grades(gradefile):
"""(file open for reading) -> list of float
Read the grades from gradefile and return a dictionary where
each key is a grade and each value is the list of ids of
students who earned that grade.
Precond... | [
"mikephys8@gmail.com"
] | mikephys8@gmail.com |
c788318f60d2098a2e34990bd3b98721e503be1f | be78f65e98c4a375666f0c22d18038c8ecef4519 | /QA_db.py | c883e669a4d52140c65d164b80da5cca1984ab8b | [
"BSD-3-Clause-Clear"
] | permissive | Rexmiao/QuickAnnotator | 5d9358d9fab04abfd10ac1950c62989c4d6715d2 | 8095bcf341ff0ec03590c23711fc1b228297ef82 | refs/heads/main | 2023-03-09T14:15:50.048688 | 2021-02-20T00:41:47 | 2021-02-20T00:41:47 | 337,521,794 | 0 | 1 | BSD-3-Clause-Clear | 2021-02-09T20:03:46 | 2021-02-09T20:03:45 | null | UTF-8 | Python | false | false | 4,391 | py | from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Text
import sqlalchemy
import logging
from QA_config import get_database_uri
jobs_logger = logging.getLogger('jobs')
_pool = []
db = SQLAlchemy()
# Create Flask-SQLALchemy models
class Project(db.Model):
id = db.Column(db.Integer, primary_key=True)
... | [
"choose.happy@gmail.com"
] | choose.happy@gmail.com |
83287219fc0ef5c36a89bcb50a247ae0f358e3f7 | 0b90c9bc3efd14cd2a869ab519f1dfe9645cefd6 | /hw03/main.py | a35d9b237aa7b247b282f0923017b48068ff95af | [] | no_license | 1510650114/exp | 2e0b6da6c5e17de48a060692d322cd77824b291b | c6a0da63b3922d4b513b56cec067749925af4815 | refs/heads/master | 2021-07-11T22:53:19.856300 | 2017-10-16T13:40:39 | 2017-10-16T13:40:39 | 107,132,091 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,958 | py | import turtle
import math
def draw_polygon(aTurtle, size=50, n=3):
## 绘制正多边形
##
## args:
## aTurtle: turtle对象实例
## size: int类型，正多边形的边长
## n: int类型，是几边形
for i in range(n):
aTurtle.forward(size)
aTurtle.left(360.0/n)
def draw_n_angle(aTurtle, size=50, num=5, c... | [
"noreply@github.com"
] | noreply@github.com |
d479a02c95eafbfa0243368ff72acbbb96176ad8 | 1e737d53085f4628af8330a8705862e8458354f4 | /Toets_2_ECTTP_Ronald_van_Egdom_3018119/Controls.py | fcb84f5c9e1e61e774cfeeb372f2919a877f553f | [
"MIT"
] | permissive | RunicPixels/HKU-ECTTP | 0551df865763024bebeb34c326e690442e06657a | 1bfeefbb6ed372128edd2e62602fe5c8d35bd0bd | refs/heads/master | 2022-05-18T09:46:45.448697 | 2016-12-14T18:07:18 | 2016-12-14T18:07:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | class Controls() :
#Right, Left, Down, Up, Special.
#Keyboard.
String_controls = ["D","A","S","W"," "]
String_altControls = ["d","a","s","w","c"] | [
"superronald@live.nl"
] | superronald@live.nl |
d3d76cb1c9935b3b8fa21acac1bc730454de8817 | e168546cd2cbd76d7d1c77d62c9889d67769309f | /PokerModel.py | e69d84cfa60f9521099521f881b36d2249b5051f | [] | no_license | guptaronav/poker | 5dc4e12c5cba0c8044f0526769b07a3adfd4b727 | 59a0838ca3bbe2f4834e3096223aeb321df6d74a | refs/heads/master | 2023-01-21T14:53:14.315532 | 2020-11-28T18:43:31 | 2020-11-28T18:43:31 | 316,791,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,866 | py | import operator
import random
import pygame
class Card:
def __init__(self, rank, suit):
self.rank = 0
self.suit = ''
self.image_path = ('img/'+str(rank) + str(suit) + '.png')
self.selected = False
#convert the rank to an integer so it's easier to compute the winner of a hand
if rank == 'A':
self.ran... | [
"guptaronav@icloud.com"
] | guptaronav@icloud.com |
2441d653960673ac4a1f42bc7f1c0bcecb8153ca | 94d1b45b6a7c25d6585a12b5c028244389c51d4f | /Recursion/venv/bin/python-config | 740ca13a09fcb2c2776e73499432ec41dccab360 | [] | no_license | Erockk/Recursion | 6f543b72474c219ef33807bff79a5f4e87d3495b | 4fe6760e76caee3161b95c20aa4ff19841f56d73 | refs/heads/master | 2021-05-01T12:25:21.040658 | 2018-02-11T20:06:51 | 2018-02-11T20:06:51 | 121,065,796 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,360 | #!/home/erock/PycharmProjects/Recursion/venv/bin/python
import sys
import getopt
import sysconfig
valid_opts = ['prefix', 'exec-prefix', 'includes', 'libs', 'cflags',
'ldflags', 'help']
if sys.version_info >= (3, 2):
valid_opts.insert(-1, 'extension-suffix')
valid_opts.append('abiflags')
if sys... | [
"dejaerik@gmail.com"
] | dejaerik@gmail.com | |
b975da264a632583abc06b064c0bdd3fa00f4ec9 | ec2ebf6b2c9e43857815ca857f4f8fb7580c9832 | /.vscode/1925.py | 510d6909161097110f651828f4ab032b59b8c360 | [] | no_license | eunchae2000/codeup | 7b9793b4570fee6cb0cb529ebf1ab33b871b165e | d6f1a2c32262a69bada3c093c87b16832b319471 | refs/heads/master | 2023-03-28T06:17:35.546759 | 2021-03-27T09:18:44 | 2021-03-27T09:18:44 | 328,110,102 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 177 | py | n, r = map(int, input().split())
def num(n, r):
if(n==r or r==0):
return 1
elif(r==1):
return n
return num(n-1, r-1) + num(n-1, r)
print(num(n, r)) | [
"tldjs3651@naver.com"
] | tldjs3651@naver.com |
d18ef3231977f0c3dcc4fa4dd7781da7c8cafa55 | 5ec411a831b02791e983e2cf002aa99945a4de08 | /write_urease_html.py | c72358d34b367dc07480a5b72f19903cff1c5dc3 | [
"MIT"
] | permissive | gaughanc/whatbacteria-sigma | 26de9c870b560166218c711f3eae297ea6f858b9 | b273003419867bd3b7f0ed44079444e7f4c6feaf | refs/heads/master | 2021-01-21T13:29:36.973297 | 2017-09-01T20:44:00 | 2017-09-01T20:44:00 | 102,128,073 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,512 | py | import random
from create_lin_list import create_lin_list
from get_lists import get_genera, get_species, get_urease, get_catcount
#create or define all needed lists
lins = create_lin_list()
genera = get_genera()
species = get_species()
urease = get_urease()
count = get_catcount()
nodes = []
edges = []
#define colors
... | [
"gaughanc@carleton.edu"
] | gaughanc@carleton.edu |
7b95333f1a3c4029e1d7f969049b5f60ff949f8c | 00cbe2c2bc49dd139bc9fff2b2d70f440824a102 | /ResourceManager.py | ba2fb6fc68b9769d1572aeac05e338683765c376 | [] | no_license | TCooper1996/Tank-Shooter-PyOpenGL | e10b7041cb6f80d9f3b14b5075fb4c2e9b32a895 | ce3ad3122d10af5b0240e89c3e731df7fa22c96f | refs/heads/master | 2020-06-17T06:06:01.047018 | 2019-08-01T03:10:07 | 2019-08-01T03:10:07 | 195,823,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,013 | py | from OpenGL.GL import *
import Shader
class ResourceManager:
Shaders = {}
@staticmethod
def load_shader(v_shader_file, f_shader_file, s_name):
ResourceManager.Shaders[s_name] = ResourceManager.load_shader_from_file(v_shader_file, f_shader_file)
return ResourceManager.Shaders[s_name]
@... | [
"trcooper1996@gmail.com"
] | trcooper1996@gmail.com |
2af528c484536afbc1490119fcb2b8ed301d4ea5 | 1189fc1021cec3f5520c67b884ada83112434ec8 | /stars.py | e39ca40a7abea43f33319e217cc7c825f005e525 | [] | no_license | MrMil/code-or-die | ac7991040900d8837b38d950643863f1e8956a52 | cc3ecc2f1e782176268669e2b65000a1e03a6e31 | refs/heads/master | 2020-03-22T01:20:20.117611 | 2018-06-30T22:05:12 | 2018-06-30T22:05:12 | 139,298,978 | 0 | 0 | null | 2018-07-01T04:00:56 | 2018-07-01T04:00:56 | null | UTF-8 | Python | false | false | 7,396 | py | import random
NAMED_STARS = [
"Acamar",
"Achernar",
"Achird",
"Acrab",
"Acrux",
"Acubens",
"Adhafera",
"Adhara",
"Adhil",
"Ain",
"Ainalrami",
"Aladfar",
"Alamak",
"Alathfar",
"Albaldah",
"Albali",
"Albireo",
"Alchiba",
"Alcor",
"Alcyone",
... | [
"tsvikas@gmail.com"
] | tsvikas@gmail.com |
a612fd5ab164d6e0f144cbdf6d58cb2e12dbcb58 | c56221bfadb1536b707da284ffd56a00539c3384 | /python_notes/day11/test2.py | 0797a45403cc76a914803dd18fa1da6e9b6f276a | [] | no_license | sunsharing-note/python | 4f33fb657075780cd8f780eebeb0e197c386beee | f18ddad3e7555386045284ac98183efe4a2a82d3 | refs/heads/master | 2020-06-09T09:26:35.185019 | 2019-06-24T01:57:02 | 2019-06-24T01:57:02 | 144,146,370 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 277 | py | #! /usr/bin/env python
# -*- encoding: utf-8 -*-
# here put the import lib
def f(): # f()这里是生成器对象
print("test1")
yield 1
print("test2")
yield 2
g = f()
#next(g)
#next(g)
for i in g: # for循环会去调用next
print(i) # 1,2为返回值
| [
"hua.zhou@bqrzzl.com"
] | hua.zhou@bqrzzl.com |
411b685eee4c1a0073044de1835cf6c13078974d | efd3c596a878f3ec499e3fb35949c6d8926a4ca3 | /DataProcess/tf2_thread.py | 9488248a0864e5f47550cfe678d7e0da1386655c | [] | no_license | taoshiqian/ImageProcessTensorflow | b85b047f8b3556a86bea9ba258e7acad881b9bfc | 319b48bf50a55429d06b26f9056f6c53a6ef79ae | refs/heads/master | 2020-03-19T02:59:00.289334 | 2018-06-26T13:54:23 | 2018-06-26T13:54:23 | 135,682,424 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 970 | py | import tensorflow as tf
import numpy as np
import threading
import time
# 每隔一秒打印自己的ID
def MyLoop(coord, worker_id):
# 不需要停止
while not coord.should_stop():
# 随机停止所有线程
if np.random.rand() < 0.1:
print("Stoping from id: %d"%worker_id)
# 通知其他线程停止。其他人的should_stop会变成True
... | [
"17210240200@fudan.edu.cn"
] | 17210240200@fudan.edu.cn |
11e1b75a57e9bc7732942119e5dbf9bfc029fa0b | f62fd455e593a7ad203a5c268e23129473d968b6 | /senlin-3.0.1/senlin/tests/unit/engine/actions/test_action_base.py | 058e15a75749ccf0a3430225113222d3bedc14a0 | [
"Apache-2.0"
] | permissive | MinbinGong/OpenStack-Ocata | 5d17bcd47a46d48ff9e71e2055f667836174242f | 8b7650128cfd2fdf5d6c8bc4613ac2e396fb2fb3 | refs/heads/master | 2021-06-23T05:24:37.799927 | 2017-08-14T04:33:05 | 2017-08-14T04:33:05 | 99,709,985 | 0 | 2 | null | 2020-07-22T22:06:22 | 2017-08-08T15:48:44 | Python | UTF-8 | Python | false | false | 35,544 | py | # 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 agreed to in writing, software
# distributed unde... | [
"gongwayne@hotmail.com"
] | gongwayne@hotmail.com |
01851c215882db7ea5489cb7d037bf4a475fc45d | 6e9ca564a0a806768636c787287607a090e90aed | /src/toolbox/data_converters.py | b0425a82890bc93e370daf8e101376049b2ae722 | [
"MIT"
] | permissive | ENJOY-Yin-jiong/hidden-challenges-MR | 798a513ad5c02df2d004076cd27f2f5c3c1b8e3e | e0c4546b5a614a20b680765fd4ad250564327b6a | refs/heads/master | 2023-03-20T02:14:22.583479 | 2020-09-07T05:29:07 | 2020-09-07T05:29:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,084 | py | from typing import Tuple, List, Dict, Callable
from pandas import DataFrame
Query = Tuple[str, str]
Location = Tuple[float, float, float] # start, end, length
Instance = Tuple[Query, Location]
Rating = List[float]
Prediction = Tuple[Query, List[Location], Rating]
Result = Tuple[Query, List[Location], Rating, dict]
... | [
"otani_mayu@cyberagent.co.jp"
] | otani_mayu@cyberagent.co.jp |
91eb9c99063fcaf5b821ef933527ce9a156928d1 | a37e93d23ea659bafaac8034dc7aeed65bc5eb38 | /shopee_api_client/controllers/controllers.py | 86c536dcab4725f74333bed6a851742075677bc7 | [] | no_license | kit9/sct-ecommerce | 71831541264809715b31d802d260474975d04536 | 6c440a514eac8101474b6720e409a81c58bd3b7c | refs/heads/master | 2022-10-03T23:35:31.563670 | 2020-06-09T12:35:06 | 2020-06-09T12:35:06 | 271,020,689 | 0 | 4 | null | 2020-06-09T14:10:49 | 2020-06-09T14:10:48 | null | UTF-8 | Python | false | false | 1,672 | py | # -*- coding: utf-8 -*-
from odoo import http
class ShopeeApiClient(http.Controller):
@http.route('/shopee_client/shop/<model("shopee_client.shop"):shop>/auth', methods=['POST'], auth='public',csrf=False)
def auth_push(self,shop, **kw):
if shop.sudo().write(kw):
return http.Response(status=... | [
"thanhquenguyenbkhn@gmail.com"
] | thanhquenguyenbkhn@gmail.com |
e664beb018a1c9ae9d3a87597696086278f40c0e | dbe012dbedc967332ae58414473185055136d189 | /maskrcnn_benchmark/data/transforms/transforms.py | 283a9d3055d8b0ed951c6e0ec938684bcaf74ce3 | [
"MIT"
] | permissive | kevincao91/maskrcnn | 87561a023939a71d624252dd44f4c882b2dfa2a6 | a55f6ab82219329e353a20dd53c3f25f4375f537 | refs/heads/master | 2020-09-24T18:41:36.565752 | 2020-05-07T05:45:39 | 2020-05-07T05:45:39 | 225,819,004 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,511 | py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import random
import torch
import torchvision
from torchvision.transforms import functional as F
class Compose(object):
def __init__(self, transforms):
self.transforms = transforms
def __call__(self, image, target):
for ... | [
"kevin_cao_91@163.com"
] | kevin_cao_91@163.com |
59bebd47be55198c6ec48813b99966195120cdd5 | 3b3b9bbc39c50a270e96b4394024f1753e35aaec | /ncbly/spiders/spider.py | 30b8ffc51883646ef9f6e34a1fd77a8c78d021b7 | [] | no_license | hristo-grudev/ncbly | f94e2fdc8d556fba416d556cac5649b7f492c7c5 | 6b33ceb9b287ed0047f4676b3c036dc0b7c8e08a | refs/heads/main | 2023-04-11T02:09:07.152764 | 2021-04-15T06:30:42 | 2021-04-15T06:30:42 | 358,152,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,286 | py | import scrapy
from scrapy import FormRequest
from scrapy.loader import ItemLoader
from ..items import NcblyItem
from itemloaders.processors import TakeFirst
class NcblySpider(scrapy.Spider):
name = 'ncbly'
start_urls = ['https://www.ncb.ly/en/media-center/news/']
def parse(self, response):
post_links = respon... | [
"hr.grudev@gmail.com"
] | hr.grudev@gmail.com |
fbb0f7310f7f72ed4f42979e7bdb21f2a6601ca5 | 1c99c687c696d780b3817f480129ebaa1fba109a | /codegate2017/pngparser/urllib2.py | 719e419cc28cff25cd16e85ce74590f06be5dcbb | [] | no_license | cExplr/ctf | 6be804d36922b08949154cfeba405c2aee0cb4e5 | 79f6485e6f1383fb382cd1a1453c2d25b0b5c518 | refs/heads/master | 2020-05-07T19:33:09.667499 | 2017-08-24T12:47:07 | 2017-08-24T12:47:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 105,026 | py | """An extensible library for opening URLs using a variety of protocols
The simplest way to use this module is to call the urlopen function,
which accepts a string containing a URL or a Request object (described
below). It opens the URL and returns the results as file-like
object; the returned object has some extra me... | [
"kanghee4924@gmail.com"
] | kanghee4924@gmail.com |
d999c73ccdbfd6c1659a34e31175408be91b1250 | b2a2a2f7e19fc8e9c6f5d2dedb0b4b10d7c813ae | /backend/api/migrations/0022_barmeta_first_calll.py | 557b7fe99b2acf7c5983a53c569529ffb89f9489 | [] | no_license | glenstarchman/bar-rate | d7a6e6660bd3fafe7777d435d33334e2be4d0480 | 575e5f695650487a679ede04af6f62d464c53c18 | refs/heads/master | 2022-02-27T01:31:17.879000 | 2019-09-26T14:43:05 | 2019-09-26T14:43:05 | 191,376,901 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 449 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2019-06-02 14:33
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0021_barmeta_wifi'),
]
operations = [
migrations.AddField(
... | [
"glen@starchman.com"
] | glen@starchman.com |
dc5410da4cfff303d0f5fbc6d93fce02dc7cad1f | 79ed3f72555aad8548634f523f775f34cfe166e7 | /catch/datasets/guaroa.py | 5acd22fecfb7fdabe5e8b72c0eb5fa30d32a8df1 | [
"MIT"
] | permissive | John-Bioinfo/catch | a2ab188ed598767e7759f74227f24af2b284b379 | fe63b86bc41396c1da0b449ac440c6ae9e52b2c5 | refs/heads/master | 2020-03-18T09:29:10.315733 | 2018-04-17T18:36:47 | 2018-04-17T18:36:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,225 | py | """Dataset with 'Guaroa orthobunyavirus' sequences.
A dataset with 25 'Guaroa orthobunyavirus' sequences. The virus is
segmented and has 3 segments. Based on their strain and/or isolate,
these sequences were able to be grouped into 16 genomes. Many genomes
may have fewer than 3 segments.
THIS PYTHON FILE WAS GENERATE... | [
"hmetsky@gmail.com"
] | hmetsky@gmail.com |
9803489d673fad8d596b11ce793086bb11ba7af1 | 4ae5d091e35fad9acea8d5b4044639a72da4b6ab | /src/irobotframework/magic/robot.py | 440ac6611410b6bff29cfe1437ae7f356d2559af | [
"BSD-3-Clause"
] | permissive | nrbgt/irobotframework | 941d76326e2cd71ee77aef23f3a8e48f0483e649 | 865311e0f89e2418e253f60cd7ae50990d4d6e6a | refs/heads/master | 2020-04-30T17:10:32.593605 | 2019-01-15T14:50:53 | 2019-01-15T14:50:53 | 176,971,493 | 0 | 0 | null | 2019-03-21T15:17:52 | 2019-03-21T15:17:51 | null | UTF-8 | Python | false | false | 2,821 | py | # Copyright (c) 2018 Georgia Tech Research Corporation
# Distributed under the terms of the BSD-3-Clause License
import re
from typing import Text, Callable
from tornado.concurrent import Future
from IPython import get_ipython
from ipykernel.ipkernel import IPythonKernel
from ..irobot import StringTidy
from .. impo... | [
"todd.shayler@gtri.gatech.edu"
] | todd.shayler@gtri.gatech.edu |
bf5657467f3bc562c237bba7906c9b1146e9b92a | 18d7876af265ec974aa5ecf9142093d845b59020 | /module/Favourite.py | d373b337f2caccf5bd99c89382bc95c872888048 | [] | no_license | xiaojieluo/savemylink | b6b2b806b8a760369860e2ec83fd85dece9bfd9d | 7eb64a4742516486bebe8498374b94552c682cfe | refs/heads/master | 2021-06-13T16:49:13.795891 | 2017-03-23T03:48:39 | 2017-03-23T03:48:39 | 77,986,335 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,113 | py | #!/usr/bin/env python
# coding=utf-8
from module.DB import db
from module.define import *
class Favourite(object):
db = db
link_list = []
value_dict = dict()
favourite_public = FAVOURITE_PUBLIC
favourite_count = FAVOURITE_COUNT
def __init__(self, fid = 0):
if not isinstance(fid, in... | [
"xiaojieluoff@gmail.com"
] | xiaojieluoff@gmail.com |
24e05aac27a7eee6799ab5ec26fcb11af42151c3 | 147389cf28e0c92f0b2ef8000b0562a71d766880 | /pp.py | 764a1b7b187b101da8e094613efc9e68f4b889cc | [] | no_license | dohyekim/hello | 3821ca97079818c9938df33fc6d8d6ea9ca763a5 | 84f5704fe6cb6e5b63fb7903e311b650d65a394a | refs/heads/master | 2022-02-25T11:12:31.077335 | 2019-09-22T06:23:00 | 2019-09-22T06:23:00 | 156,352,382 | 1 | 0 | null | 2022-02-12T11:48:53 | 2018-11-06T08:39:18 | JavaScript | UTF-8 | Python | false | false | 707 | py | import requests
from bs4 import BeautifulSoup
import json
url = "https://www.melon.com/chart/index.htm"
headers = {
'Referer': 'https://www.melon.com/',
'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'
}
html = requests.get(url,... | [
"dhleen5@hanmail.net"
] | dhleen5@hanmail.net |
7a906032b07ddd8c57c95c5688999c4c40c6cdfd | 8973bc75cd166031df2906df5cb51c9d40d266d3 | /urls.py | 8d4f4452df67860548d021f319225d973277efee | [] | no_license | anujborah1/q | 53dcbbba6c54afb95451e64db4e22a560ad04d1e | ba21db8801efbd4aa27161bca5e48a3e4de68f31 | refs/heads/master | 2021-01-22T21:45:35.844543 | 2017-03-19T12:22:29 | 2017-03-19T12:22:29 | 85,472,135 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | from django.conf.urls import include, url
from views import *
urlpatterns = [
url(r'^$',q, name='home'),
}
| [
"noreply@github.com"
] | noreply@github.com |
c32c95339c291c9e95d3a9a68086eadfbc24dc88 | 56d62ed2e8815b676743350e68f78902d5751dc0 | /helper-scripts/convert-log-to-json.py | 8441597c1042ccf242ce5eefee0256f3e32a5cc7 | [
"MIT"
] | permissive | ddsky/keras-machine-learning-framework | e6636dc9a9b806c49647bf317bceed670b0807f8 | 049ee78984f2f61165ff67506b0ced74b2928be9 | refs/heads/master | 2021-01-03T07:54:30.609349 | 2020-02-12T08:26:15 | 2020-02-12T08:26:15 | 239,989,480 | 1 | 0 | MIT | 2020-02-12T10:50:10 | 2020-02-12T10:50:10 | null | UTF-8 | Python | false | false | 16,925 | py | # Example:
#
# user$ python helper-scripts/convert-log-to-json.py processed/experiments/best_optimizer/inceptionv3/food-50-80-20-rmsprop-0.01-0.5-7-0.0-0.0
#
import re
import pprint
import json
import os
import sys
pp = pprint.PrettyPrinter(indent=4)
class ConverterLogJson:
path_root = 'F:/data'
... | [
"bjoern@hempel.li"
] | bjoern@hempel.li |
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