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4c5d5afbe6cd8443c105488dc6448c1dd69437fc | 758d2bc11c5512332fb18ce5ad46f715e1caf542 | /Source/settings.py | 09c1aa962cc8932092f29ecf5fc08828a182f878 | [
"MIT"
] | permissive | j-t-burns/MI-ASS | b0cd610e79b6f84f84ea0a8ea48304f464847d9a | 9f70a545521a55dc7af2e504617363bf47241646 | refs/heads/master | 2021-01-18T05:29:14.158255 | 2015-10-17T23:58:29 | 2015-10-17T23:58:29 | 35,896,106 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,136 | py | # This is a file with all settings and options that we have for the AnnotateCilitate program
import multiprocessing
Options = {
'Telomeres' : True,
'MDS' : True,
'Pointers' : True,
'TelomereEndLimit' : 100,
'TelomereLength' : 10,
'BlastMaskLowercase' : True,
'RoughBlastTask' : 'megablast',
'RoughBlastWordSize' : 28... | [
"denys.kukushkin@gmail.com"
] | denys.kukushkin@gmail.com |
e3cfe05320b107334cd99f3c84823a5075d35ef2 | 469e966aae6a8074c5ecb852afb685ca0b49cbe2 | /jerky_utils.py | ee6964f55b3100780bc8a827d0e22d0339c1282c | [] | no_license | bexcite/behavioral-cloning | 975fa11c4f22cb56f1e2fa823b36673a2f868211 | 495bde8b64ea011d4c4515636749adb1440f62c9 | refs/heads/master | 2021-06-11T23:13:48.773509 | 2016-12-30T21:30:10 | 2016-12-30T21:30:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,887 | py | '''
Helper functions to remove sections from the datasets.
Used for cleaning data from bad driving and narrowing experiments.
'''
import os
import numpy as np
# Mapped Jerky sections that we need to remove - depends on dataset
jerky_sections = {}
jerky_sections['train1-complete'] = [
[0, 80],
[295, 350],
[429,... | [
"pavel.bashmakov@gmail.com"
] | pavel.bashmakov@gmail.com |
f529b705500ce54a7c0dd741d3ceb9b2a35c1351 | 332cfcd2b68294fbc7e31b59d21810de3fb283c8 | /week0/ProblemF3_Generate file with random integers/solution.py | d03bf3ea9c6b4a09b1b00138385ec06a8d6c6af1 | [] | no_license | fyllmax/Programming101 | 6884b03422ac00710b6e9469ace43738934a5dff | e0d7bc23709bab11fa733a1be09bf2bf7eb9c623 | refs/heads/master | 2020-03-27T04:22:53.852489 | 2014-04-22T12:25:10 | 2014-04-22T12:25:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 471 | py | from sys import argv, exit
from random import randint
def main():
if len(argv) < 3:
exit("Error: Not enough arguments given!")
file_name = argv[1]
numbers = int(argv[2])
text_file = open(file_name, 'w+')
for i in range(numbers):
generated_numbers = (randint(1, numb... | [
"andi_77@abv.bg"
] | andi_77@abv.bg |
d0270031a171711e6ed22a2fbe278cad17493cb2 | bcbd4a074b79c747b08c941a1a83c774c1168778 | /src/Models/Auxiliaries/Transitions.py | 42ccd02fb65f33ec3a7feae7a20bde89e573fff2 | [
"MIT"
] | permissive | goncaloasimoes/nps | f8c0eab55e4e089972371b2d42357b0bd9b6e636 | 77f766661229327df16bef1e6813152e02350459 | refs/heads/main | 2023-07-02T09:55:00.296050 | 2021-07-26T23:20:03 | 2021-07-26T23:20:03 | 389,460,857 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,156 | py | class Transitions:
def __init__(self, transitions):
self.pair_transitions = {}
self.self_transitions = {}
for key in transitions.keys():
# Pair Transition
if len(key) == 2:
initiator = key[0]
receiver = key[1]
if initi... | [
"goncalo.a.simoes@tecnico.ulisboa.pt"
] | goncalo.a.simoes@tecnico.ulisboa.pt |
1fbf6e83617d19f5e3ae903b7b3c847b24814920 | aeb3427be6a555e3335f43e54ec5b68497d8f779 | /WindowsForm/visualization/visualization/bin/Debug/DataProcessing.py | 1a0ca700a6092571ffe8d2936fc2d0bcd255df8c | [] | no_license | s410385015/VisualizationTest | 4c78502644a0de994c128e2accf0dacf73fc29fb | aed2b7a023184d2d2bf3d503a8b8d2b672749878 | refs/heads/master | 2020-03-27T10:31:30.589033 | 2018-10-30T13:21:46 | 2018-10-30T13:21:46 | 146,426,081 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,154 | py | import csv
path='D:\Plastics_and_Chemicals_Macro.csv'
def main():
pass
def ReadFromCSV():
f = open(path,'r')
reader=csv.reader(f)
l=next(reader)
d=list()
for row in reader:
d.append(row)
f.close()
return l,d
def HandleData():
label,data=ReadFromCSV()
#delete the fi... | [
"s410385015@gmail.com"
] | s410385015@gmail.com |
4081fa21664237ee4ce3433c17288f030e44006d | e9cfe55ce06842a27b251c1fb827ed71a7be5c0e | /filterCaptions.py | 96eae61b4ba015423741cad3824bc814175a4469 | [
"MIT"
] | permissive | chcaru/gcnet | eb0c0126e88d0f6b9799449dd34cc9a9dc2cff11 | ecbf0089eb4e53e34483e876bf70076675ba1a3d | refs/heads/master | 2020-06-18T05:03:41.626813 | 2016-11-29T05:18:39 | 2016-11-29T05:18:39 | 74,945,866 | 18 | 3 | null | null | null | null | UTF-8 | Python | false | false | 5,372 | py |
import gc, math, sys, re, os
import numpy as np
from sets import Set
from collections import Counter
# The max resulting size of the vocabulary.
# These are the top N most frequent words
maxVocab = 6000
# % of words in a caption that must be int
# the vocab before it is dropped (below quality threshold)
captionQual... | [
"Chris Caruso"
] | Chris Caruso |
9aaf935c5e687889d66a3560dfbfc3d661402d47 | 61223ebc4266db257480602b707195949607264b | /function.py | 6bdbec4c26c4cf849b8df909bb7d62b5b0ca92fe | [
"MIT"
] | permissive | tqtrunghnvn/FixMatch-pytorch | 311b930091d6197943cf17690dc99e0355114a11 | b2a40c4dc1547ae5cf4b7fe28220f8b43d7d8363 | refs/heads/master | 2022-10-07T22:01:16.316743 | 2020-06-08T05:48:41 | 2020-06-08T05:48:41 | 264,972,120 | 1 | 0 | MIT | 2020-05-18T14:54:50 | 2020-05-18T14:54:49 | null | UTF-8 | Python | false | false | 3,008 | py | import os
import random
import numpy as np
import torch
import logging
def cdist(x, y):
'''
x, y: Tensor
'''
return torch.sqrt(torch.sum((x-y)**2))
def cdists_slow(batch):
'''
batch: the size of (N, M)
N: number of images
M: number of classes
'''
N, M = batc... | [
"tranquangtrunghnvn@gmail.com"
] | tranquangtrunghnvn@gmail.com |
c94bf0cccffed7e38591c260e94b27e2d3dfa261 | 9a6f1044fe904311c3aa601013324123904a152d | /ProjetoLojaVirtual/inventario/models.py | f937cdf7ff7dc9a091745a708b715ada965df86b | [] | no_license | ldmaia/ProjetoLojaVirtual | 4a6b3f10e5e36dc431579a9aa75ee77b6fe7d573 | 07c5f80dc1d79e6a33b349773dcd013b6468b898 | refs/heads/master | 2022-12-10T17:20:15.805953 | 2019-04-04T06:52:01 | 2019-04-04T06:52:01 | 179,391,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,436 | py | from django.db import models
from django.urls import reverse
# Create your models here.
class Inventory(models.Model):
name = models.CharField('Nome', max_length=100)
slug = models.SlugField('Identificador', max_length=100)
created = models.DateTimeField('Criado em', auto_now_add=True)
modified = mode... | [
"ldmaia92@hotmail.com"
] | ldmaia92@hotmail.com |
96393a8b5f0fc74faa8c1fb00aaba8a7db75777c | e301a52127959e86cada66a1808cb7eb3aea72bd | /solutions/FrogJmp.py | ec9a8555ca90b7e61b9441565020b0d873d7b12f | [
"Apache-2.0"
] | permissive | PierreSp/Codility_Python_Solutions | 59afbcdc596a6543d304cdd5a3e01b10e3cd86b9 | 471fadcdf7087be66b720b4a775fdc8c630d473f | refs/heads/master | 2020-06-03T23:05:13.749053 | 2019-06-14T13:33:32 | 2019-06-14T13:33:32 | 191,768,481 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 511 | py | def solution(X, Y, D):
"""Calculates minimum amount of jumps from X to Y with jumps of length D
:param X: Start position (int)
:param Y: Target position (int)
:param D: Jump length (int)
:returns: Min number of jumps
:rtype: Integer
"""
# write your code in Python 3.6
distance = Y ... | [
"pierre.springer@tum.de"
] | pierre.springer@tum.de |
6e3877952188cded94c414eb37f6d19ebeb95534 | 5462142b5e72cb39bea5b802dd46f55357c4ea84 | /test_pic/vmgirls/dl_vmgirls_pic.py | 499ac3f8cef5a386fe97d91b59fd55f04f358de3 | [] | no_license | qqmadeinchina/myhomeocde | a0996ba195020da9af32613d6d2822b049e515a0 | 291a30fac236feb75b47610c4d554392d7b30139 | refs/heads/master | 2023-03-23T05:28:53.076041 | 2020-08-24T08:39:00 | 2020-08-24T08:39:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,874 | py | # -*- coding: utf-8 -*-
# @time :2020/8/17 9:56
# @Author:老萝卜
# @file:dl_vmgirls_pic
# @Software:%{PRODUICT_NAME}
'''
爬取https://www.vmgirls.com/所有图片
'''
import time
import requests
from lxml import etree
import os
import json
basepath_picsave="e:\\temp\\pythontest\\vmgirls\\"
headers={
"user-agent": "Mozi... | [
"newwxm@126.com"
] | newwxm@126.com |
8114f87ea4d123ce369f1ad9b8352b6eaf865dbf | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03208/s325634445.py | 323b17ee4ad8a29bda1ed175bcbbe1278f12231d | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 240 | py | def resolve():
n, k = map(int, input().split())
H_sort = list(sorted([int(input()) for _ in range(n)],reverse=True))
ans = 10**9
for i in range(n-k+1):
ans = min(ans, H_sort[i]-H_sort[i+k-1])
print(ans)
resolve() | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
64a803604b6d762457fbc84462c8185a3f0425aa | 7a42d40a351824464a3c78dc0c3e78bbd8e0a92f | /bigdog_blog/manage.py | f00bf03a35f34d705c8b341ce90fdc096c01ada7 | [] | no_license | AhMay/DerekBlogLearn | 6595063eafbc237b932e187b5cb3ad8ff32637fc | fdd5ea2fc5732cdc82ad006f7be0a2a1f30d0ba9 | refs/heads/master | 2020-07-09T05:20:33.283672 | 2019-09-29T10:10:23 | 2019-09-29T10:10:23 | 203,891,215 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'bigdog_blog.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Im... | [
"meizi111082@hotmail.com"
] | meizi111082@hotmail.com |
e1082ff198d8db3adc6e0116f59b00b93f5df628 | c757d89396a933f057b2bf3a3066797be0e1ff9e | /programa/programa/wsgi.py | 9d92066ebfee985a1fe4b50c0ec58f157ec8453b | [] | no_license | brian0496/DJANGO | 968136d776de4897f8854794fc4ecb993a45b048 | d796963d41f4e1e2c84cb7273a47d55fb65cd9ec | refs/heads/main | 2023-07-15T19:22:41.111750 | 2021-08-02T19:59:06 | 2021-08-02T19:59:06 | 392,070,396 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | """
WSGI config for programa 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/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETT... | [
"83350243+brian0496@users.noreply.github.com"
] | 83350243+brian0496@users.noreply.github.com |
ed8e36a1482266337850c9cd2a65b88a5bdb33e3 | 793cb34cbaf74f48fb495125abc5af1d588bbe51 | /examples/mujoco/tools.py | 19943882e21c5aee53c28ff57b84119825a5a60d | [
"MIT"
] | permissive | thu-ml/tianshou | 33cc2a2590309beef2815e812df80bd8fc40bbb1 | 600f4bbd555a1995ad5e2dc9ce74304de0941fcb | refs/heads/master | 2023-09-04T11:19:10.017664 | 2023-08-25T21:40:56 | 2023-08-25T21:40:56 | 129,815,042 | 6,964 | 1,154 | MIT | 2023-09-05T21:34:24 | 2018-04-16T22:47:38 | Python | UTF-8 | Python | false | false | 4,560 | py | #!/usr/bin/env python3
import argparse
import csv
import os
import re
from collections import defaultdict
import numpy as np
import tqdm
from tensorboard.backend.event_processing import event_accumulator
def find_all_files(root_dir, pattern):
"""Find all files under root_dir according to relative pattern."""
... | [
"noreply@github.com"
] | thu-ml.noreply@github.com |
c400a4fb080e92bec33828e9cc29884d4747c74c | f7e6e874c979c18d049d73683a185d52194cd937 | /sources/implementations/units/animals/AnimalsLair.py | 153678b5b354daf288044f67170be7b122ccceee | [] | no_license | YouRockGarnov/AnotherMirror | fb4f9d9cb965e2770a619f6261b6a4c63a6279b8 | bf67c965cfee438547b9a188a425ea7965b2379c | refs/heads/master | 2020-03-08T08:49:28.899608 | 2018-04-04T08:25:21 | 2018-04-04T08:25:21 | 128,031,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 498 | py | from implementations.units.animals.AnimalsBreed import AnimalsBreed
from implementations.units.animals.Animal import Animal
from enum import Enum
class AnimalsLair: # factory
class STRENGTH(Enum):
BABY_STRENGTH = 0.8
ADULT_STRENGTH = 1
LEADER_STRENGTH = 1.2
def __init__(self, breed: ... | [
"hamta@yandex.ru"
] | hamta@yandex.ru |
cd2e8bb05fa338f68a4a77971b6ff1cbe8948808 | fb0e552591c2fb82a0bc589c887dde601eea336c | /djangoproject/coreapp/decorators.py | b55dfda987966a4d0fec447c445914fe0ab5a8a0 | [] | no_license | bsadd/meme-maker | be1cc2a5e8a084713b36b1056e18d7030f91bcc0 | 06279196a47242015d85d136c2ba4131a785e821 | refs/heads/master | 2023-01-20T13:24:38.019393 | 2020-09-03T09:17:54 | 2020-09-03T09:17:54 | 263,107,897 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 622 | py | from functools import wraps
from django.core.exceptions import PermissionDenied
def ajax_login_required(view):
@wraps(view)
def wrapper(request, *args, **kwargs):
if not request.user.is_authenticated:
raise PermissionDenied
return view(request, *args, **kwargs)
return wrapper
... | [
"subangkar.karmaker@gmail.com"
] | subangkar.karmaker@gmail.com |
6f596f42acf015533f00de76f644cd10748b6d87 | 19ed452b9b734b0988cd5bcb949e965b332451d4 | /klaytn-etl/klaytnetl/json_rpc_requests.py | 8b855f35a94df1c958dd992b5f5a191d535311dc | [
"Apache-2.0"
] | permissive | jisunglim/docker-airflow | e1c6c82b293127097057e0f113beac8103f525c6 | 5ddb85c2129eb5533036f0dc6fcf665498a005ee | refs/heads/master | 2021-03-14T08:02:37.285199 | 2020-04-10T04:22:21 | 2020-04-10T04:22:21 | 246,752,319 | 0 | 0 | null | 2020-03-12T05:36:26 | 2020-03-12T05:36:25 | null | UTF-8 | Python | false | false | 2,904 | py | # MIT License
#
# Copyright (c) 2018 Evgeny Medvedev, evge.medvedev@gmail.com
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# ... | [
"jensen.yap@groundx.xyz"
] | jensen.yap@groundx.xyz |
b414054bd417e686ac8b5754f00297d08c5689c5 | 2a82b992b4f4399c6d41a8dd80b6a090edb5ec74 | /restAPI.py | 1a09b60e6887830e13020f2bc00ed83c9a75302e | [] | no_license | JasonRectorTech/Real_Estate_Python | 392bb45fae0cb4631b585a3752c05ec1b1715d0f | 35ecd6ece8278b3e517521deff7070066b3ac363 | refs/heads/master | 2020-04-10T11:28:54.468156 | 2019-01-02T19:01:33 | 2019-01-02T19:01:33 | 160,994,856 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,093 | py | from flask import Flask, jsonify, request
import credentials
import mysql.connector
import traceback
import sqlQueries
#init Flask application
application = Flask(__name__)
#handling cors
@application.after_request
def after_request(response):
response.headers.add('Access-Control-Allow-Origin', 'http://real-estate-... | [
"special43543@gmail.com"
] | special43543@gmail.com |
ec9438306b6d904c30e1b551c9e6b8500cf64de2 | 32dd7d178526cb822a462f0682cce74315430aeb | /eventex/subscriptions/migrations/0004_auto_20170619_1924.py | fa01f454a10a04cf200c2737e2d828dbffb56c9b | [] | no_license | leonardocintra/course_django_eventex | fce8e9b0d5694ca1e23a5c32f4af35ba57773c5e | 36f919d323bccf2d7271dd655268963151153b62 | refs/heads/master | 2023-02-12T19:00:40.725169 | 2021-01-12T04:44:52 | 2021-01-12T04:44:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 970 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-06-19 19:24
from __future__ import unicode_literals
from django.db import migrations, models
import eventex.subscriptions.validators
class Migration(migrations.Migration):
dependencies = [
('subscriptions', '0003_auto_20170605_2203'),
]
... | [
"toguko@gmail.com"
] | toguko@gmail.com |
4bda416be56a2633614710951ef6f707578f0668 | 8801eec4650286ab80e7fd3d555093352bafb5d5 | /flaskblog/forms.py | 8edef1a2a47982a22bd767c812ad707a67c0c61a | [] | no_license | ibrahimaltay/document-sharing | 9c3b1803fb2de693bd3dffd91f9617736b2ccf02 | 5283f617f80c88f48ac96c1870acae569331b3ee | refs/heads/master | 2022-12-16T20:25:37.871154 | 2020-09-19T22:31:35 | 2020-09-19T22:31:35 | 296,961,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,092 | py | from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from flask_login import current_user
from wtforms import StringField, PasswordField, SubmitField, BooleanField, TextAreaField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from flaskblog.models ... | [
"ibrahimaltay152@hotmail.com"
] | ibrahimaltay152@hotmail.com |
4c37cfa9d7f322fb217de9bcf8b4bc5c7a1da3ac | 5e1385521729efb8a5e90af19638dc43c2fadb88 | /day02/p1.py | e471865cd0c47985422758a7e9772cdf8e28b778 | [] | no_license | pwicks86/adventofcode2017 | d8557f1496af0393b58e669f7f3c78a95565e871 | 11b5bd06ed900b857e726649c8ad2b8d619c2172 | refs/heads/master | 2021-08-30T16:17:15.609771 | 2017-12-18T15:59:21 | 2017-12-18T15:59:21 | 112,669,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 223 | py | f = open('input.txt')
lines = []
for l in f.readlines():
lines.append(map(int, l.split()))
checksum = []
for l in lines:
lsorted = sorted(l)
checksum.append(abs(lsorted[0] - lsorted[-1]))
print(sum(checksum))
| [
"pwicks86@gmail.com"
] | pwicks86@gmail.com |
a77e73006b4448942af52bf9235df27f8e98a948 | f22d59ae1534838e2706da26214813b7d66ee482 | /poll/polls/migrations/0001_initial.py | 81a23fca941088807f15761c536a0b9b62c6e266 | [] | no_license | s2krish/pollapp | c097e7bc8a53375fe59fc06631c51ada39f3ea0d | 1d3199cadca5278c1535ee9252c79fc915ebc2b0 | refs/heads/master | 2020-03-27T13:01:14.120494 | 2018-08-29T11:19:23 | 2018-08-29T11:19:23 | 146,585,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,211 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-08-29 10:34
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Create... | [
"krishna.sunuwar@gmail.com"
] | krishna.sunuwar@gmail.com |
18dbce8db5ab987948f6a5c8624c7fca006bf3b9 | 61e3151fe0501f6aa93ef7f3ac9707395da14cd0 | /voc_io.py | d3a210db197372ada4ac857d5a8b2dffa187ebe7 | [] | no_license | mengruxing/voc-tools | 70cf807a9a09464c570c5262e1719acb8b1970fe | 1d5e0334b0f6ce95fd563d30bc04a46aef8c87e8 | refs/heads/master | 2020-06-26T08:27:57.927120 | 2019-07-30T06:14:58 | 2019-07-30T06:14:58 | 199,583,927 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,247 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Author : mrx
@Contact : mengruxing@gmail.com
@Date : 2019/7/21
@Project : work_shop
@File : voc_io.py
@Desc : 生成和读取 voc 格式的 xml 文件
"""
import os
import re
import codecs
import logging
from xml.etree import ElementTree
from xml.etree.ElementTree... | [
"mengruxing@gmail.com"
] | mengruxing@gmail.com |
a143fc16f6331dc078310d40e66a6ceb4909e318 | acc9d729e0182b17023e9660457eed0e19f4f828 | /test/test_token_resource.py | 6855ae9531f7996b2e7633ed1cc0a9aede6033b2 | [] | no_license | secuwave/nexpose_client | 2f00907ef3ffea33c8e9f5cc2543e708f349de6c | 5ceff219ae03cadb5407dc48d8858ffa56bb3463 | refs/heads/master | 2020-05-22T13:54:22.675479 | 2019-05-13T09:12:09 | 2019-05-13T09:12:09 | 186,369,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48,871 | py | # coding: utf-8
"""
InsightVM API
# Overview This guide documents the InsightVM Application Programming Interface (API) Version 3. This API supports the Representation State Transfer (REST) design pattern. Unless noted otherwise this API accepts and produces the `application/json` media type. This API uses ... | [
"root@data-proc.openbase.co.kr"
] | root@data-proc.openbase.co.kr |
a7bd0e5000e6bb063933f8431162d23505e600a2 | 11980553c9883a9711df02e2b7f0dadad67359c5 | /tests/django2/mysite/wsgi.py | 77f71eb3330749fd7f95158e640a9c45bc35a208 | [] | permissive | praekeltfoundation/docker-django-bootstrap | 44a1047e12edebb372768884f226fe73668c241a | d3fd6ef9788ab7ac0b9a70e91419cbc68aaf2f5a | refs/heads/develop | 2023-07-23T20:05:55.581299 | 2023-07-18T12:10:59 | 2023-07-18T12:10:59 | 52,771,805 | 106 | 30 | BSD-3-Clause | 2023-07-20T07:07:32 | 2016-02-29T07:16:21 | Python | UTF-8 | Python | false | false | 389 | py | """
WSGI config for mysite 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/2.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTIN... | [
"jhewland@gmail.com"
] | jhewland@gmail.com |
cb872b1a2e8169f5130c4fe9920303b6c07c540a | a84c2a94635ed719d355c5eb20fa4b143888ccc3 | /controllers/user_controller.py | 6fbbb062c7bb75b3dc31c7b6fc5a8b96fa6560df | [] | no_license | caothanhha9/graph_ui | de426449162a33908de5ee953474c00d088aac33 | e146a66a4c4073b0e14cc913d9e4aa7ea430e138 | refs/heads/master | 2021-01-17T16:23:00.323084 | 2016-06-10T04:59:53 | 2016-06-10T04:59:53 | 60,820,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,311 | py | from knowledge_network.utility.service import gen_key
class Login(object):
def __init__(self):
"""
Create default values
:return:
"""
self.status = False
self.token = None
self.default_id = 'xdm'
self.default_pass = 'iloveyou'
self.default_to... | [
"hacaothanh@admicro.vn"
] | hacaothanh@admicro.vn |
90fc54f792f717fefdb9834a7e4301d4aa830df0 | 619651ff76c40873c7a8163ca865ff8957e9bf99 | /LeetCode/16. 最接近的三数之和.py | bc7c83e0767a440eb244642f660945a5ce726574 | [] | no_license | zjlyyq/algorithm009-class01 | 4a27f3dd55968b084deaebede36a4435e2013a52 | 43f6d47f947425d6c4904c826ea01be9a9b0566a | refs/heads/master | 2022-11-21T19:04:47.727695 | 2020-07-26T14:11:41 | 2020-07-26T14:11:41 | 264,580,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 997 | py | '''
思路一：
暴力枚举：
1. 先对数组升序排序
2. 枚举三数之和，大于target直接break（由于是升序，越往后越大不用判断了）
3. 在上述过程中记录下和target最接近的三数和
'''
import math
class Solution:
def threeSumClosest(self, nums: List[int], target: int) -> int:
nums.sort()
n = len(nums)
nearvalue = 1 << 31 - 1
ans = 0
if nums[0] + nums[1] + n... | [
"jialuzhang0805@gmail.com"
] | jialuzhang0805@gmail.com |
e1806f01b4c805b9c3859b27e923dd9dd0553b8d | 45c9876f294a8f160fc8059bac31bcee2d2f4a9f | /visa/urls.py | 9eb34d2b07eb11b7ec86ccc97f92ad4f6c95fa21 | [] | no_license | xolmomin/visa | 32f8c7e507e238fc7a621d9792337535d8da5c00 | b088d1b999baf612a00953d351746bcc61cb50e9 | refs/heads/master | 2023-01-02T03:42:21.688320 | 2020-10-26T19:15:41 | 2020-10-26T19:15:41 | 307,476,444 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 791 | py | """visa URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/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-based vi... | [
"xolmomin@gmail.com"
] | xolmomin@gmail.com |
78167c95383a13af58d15af1fb240076bb829358 | 8077979cde078adbe4a38816f287d2552c45bdc2 | /mergeexcel/merge/views.py | 5f16d4e0325d96ca028f22d86fc3ccb418581ca0 | [] | no_license | bogeUser/excel_tools | bf13230a120a31f8a6cb933ad83eceda7ecad6a1 | 6506c251a9bc9db86c36696a12d23285e92cfe45 | refs/heads/master | 2020-03-30T08:00:19.775823 | 2018-09-30T15:52:13 | 2018-09-30T15:52:13 | 150,980,903 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,073 | py | import os
from django.conf import settings
from .utils import *
from django.http import HttpResponse, StreamingHttpResponse, JsonResponse
from django.shortcuts import render
# Create your views here.
#上传文件函数
def upload(req):
#如果是post则处理上传的文件
if req.method == "POST":
# 获得文件
f = req.FILES.getlist(... | [
"1632651707@qq.com"
] | 1632651707@qq.com |
eb053bc723f385233dc47b22364f966e03d3712c | 6a75fbf5aa540842c07e48bb2c1b4d6aa819f02f | /venv/lib/python3.9/site-packages/google/cloud/vision_v1p4beta1/services/image_annotator/transports/grpc_asyncio.py | e42a03579624f84fb0bb9df8ef544940bd5d2087 | [] | no_license | echigawa0921/vision-api | 46e8f10afc95772592619093fc8699e9f4b61a89 | 1ae115e452e8e34a4264ab3cae281d1e3e2cc4cd | refs/heads/main | 2023-06-18T05:05:51.174620 | 2021-07-11T14:14:22 | 2021-07-11T14:14:22 | 384,146,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,494 | 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... | [
"69971834+echigawa0921@users.noreply.github.com"
] | 69971834+echigawa0921@users.noreply.github.com |
f03ead6b04d45c647bbcd679325f762ba8667d82 | 5231237e46f661c825a2bebffe1cd03da05d3a13 | /DoDoc_folder_printer.py | 5ed661bf7996f422310e5e88a188efb3aebd2384 | [] | no_license | peterdemin/DoDoc | 40a0e073ebece65f620415896a5e91e172378b07 | 7d74e909222ca984628f31cc369ad11835d7d93e | refs/heads/master | 2021-01-23T06:44:32.466473 | 2012-02-24T16:50:05 | 2012-02-24T16:50:05 | 3,476,905 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,132 | py | #!usr/bin/python
# -*- coding: utf8 -*-
encoding='utf8'
'''утф-8'''
import os
from OpenOffice_document import *
class Odt_printer(OpenOffice):
def __init__(self):
super(Odt_printer, self).__init__()
def startPrinting(self, filename):
frame = self.doc.getCurrentController().getFrame()
... | [
"deminpe@otd263"
] | deminpe@otd263 |
904b1dcf5a624c469500a1a77ca9757a80f1726b | e0832d35207eca2519ee50fdd83fb4737b47e9c5 | /AtCoder/ABC145/A.py | f2b38d692d00e1e5d15c1986bcc638b6cc680dce | [] | no_license | soqutto/practice | f202f7f5ba17d2c98b8e8323ac22e541daac8dbf | fa9f4749d5862037416e7c229ed4fda544a16229 | refs/heads/master | 2023-05-02T07:46:10.885731 | 2021-05-21T05:44:00 | 2021-05-21T05:44:00 | 310,563,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py | # -*- coding: utf-8 -*-
import math
# 半径1の円の面積
# 1 * pi
# 半径rの円の面積
# r ^ 2 * pi
# 半径rの円の面積は
# 半径1の円の面積のr^2倍である.
r = int(input())
print(r**2)
| [
"me@sokutto.com"
] | me@sokutto.com |
4787c40faa7bc23195b29472a10384a0f756d117 | 2be6e84bf811a18d97221c8a203e6df1b7bb791a | /PythonExercicios/ex13.py | eaab6795f33591778e437c7c1fc362ad07dbb6d4 | [] | no_license | Lucasalsferreira/video_em_aula | 6cf28091546f32125d234ab91f2a3203186338bf | e526066a15417ff2f5e29b4936758dd236d434e8 | refs/heads/master | 2022-12-23T03:37:26.209529 | 2020-09-23T11:04:06 | 2020-09-23T11:04:06 | 297,459,252 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 137 | py | s = float(input('Qual o seu sálario: '))
a = s + (s * 15 / 100)
print('O valor do seu salário com os 15% de aumento {:.2f}'.format(a))
| [
"lucas_araujo.20@live.com"
] | lucas_araujo.20@live.com |
4772ff7cf80ba0a1b49144b524c4918ac50fa36c | 2a62d34c84b0c2957be73d6c9d18a3d741d31754 | /src/loans/helper.py | a9d6a8fe2d6d1afcd140351b69cf782dd17d80eb | [] | no_license | OhioDataSolutions/web-backend | 385df7c759d0b4cd95592075a8a729005a0146ae | aa179bc5f926024add3deed4451b43660c66c5cb | refs/heads/master | 2023-02-12T15:06:29.439399 | 2021-01-09T17:06:44 | 2021-01-09T17:06:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,252 | py | """Helper file for loans"""
from pypika import PostgreSQLQuery as Query, Table, Parameter
import pypika.functions as ppfns
from lbshared.pypika_funcs import Greatest
import hashlib
from . import models
DELETED_LOANS_PERM = 'view_deleted_loans'
"""The name of the permission that gives a user permission to view ... | [
"noreply@github.com"
] | OhioDataSolutions.noreply@github.com |
e0b9725b85f060765c87d3f90c763feba50b9bf3 | 6f1e5d5e8130608a2b8c112c5600c331347f953c | /src/bridge_sim/model/__init__.py | fa1f792967a10d2125531894d1611d717a032dbe | [
"MIT"
] | permissive | r-snijders/bridge-sim | ed95999385d04db2e6b115bf04f20f4115bd8f6c | 20cbb956dc83b9b5e1779048a65b2ebd515f7fe6 | refs/heads/master | 2022-09-29T08:02:03.959097 | 2020-05-28T12:04:20 | 2020-05-28T12:04:20 | 267,316,873 | 0 | 0 | MIT | 2020-05-27T12:43:37 | 2020-05-27T12:43:37 | null | UTF-8 | Python | false | false | 47,000 | py | """The core classes: Bridge, Config, PointLoad etc."""
import os
from enum import Enum
from itertools import chain
from timeit import default_timer as timer
from typing import List, Union, Tuple, Optional, Callable
import numpy as np
from matplotlib import cm as cm, colors as colors, pyplot as plt
from scipy.interpol... | [
"barischrooneyj@protonmail.com"
] | barischrooneyj@protonmail.com |
e2bd9a59636cfd0c2f76a1a4087cc2c5202b1935 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/216/usersdata/274/113966/submittedfiles/av2_p3_civil.py | d9f4bcefea50acc8b1dd920d630cdd854f8a3254 | [] | 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 | 458 | py | # -*- coding: utf-8 -*-
import numpy as np
L=int(input("Quantidade de Linhas: "))
C=L
a=np.zeros((L,C))
x=int(input("Linhas: "))
y=int(input("Colunas: "))
for i in range(0,a.shape[0],1):
for j in range(0,a.shape[1],1):
a[i,j]=float(input("Valor da Linha: "))
soma1L=0
for i in range(x,C-y,1):
soma1L=s... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
fe03327e97fff1983eaee4dd0427062b9d600377 | 05cda3ab89d001aef2ec19f2975fad9397c8dd0b | /experiments/sawyer/towel_classifier/conf.py | bec399b3897f8ecb885707dcf2e8c6335cc1ab37 | [
"MIT"
] | permissive | dhl8282/visual_foresight | ddcc940ad542222d433ca269e37e4d5f747732ea | 5e6205a85119c1dec4a39ba7e67d7c89e726a47c | refs/heads/master | 2022-09-05T18:16:07.590072 | 2020-05-26T08:41:52 | 2020-05-26T08:41:52 | 266,988,765 | 0 | 0 | MIT | 2020-05-26T08:36:22 | 2020-05-26T08:36:22 | null | UTF-8 | Python | false | false | 988 | py | from visual_mpc.video_prediction.setup_predictor import setup_predictor
from visual_mpc.video_prediction.vpred_model_interface import VPred_Model_Interface
from video_prediction.models.savp_model import SAVPVideoPredictionModel
import robonet
modeldir = '/home/sudeep/Documents/video_prediction/pretrained_models/mixed... | [
"sdasari@berkeley.edu"
] | sdasari@berkeley.edu |
c0f734b4bdb2f37fdd2a0c33372562496f0016ec | 4cce482c0525d7a517595f2117bfae355b157477 | /desafio096.py | 7633b271eba55f98bd364ec06be712c42ffef31f | [] | no_license | Carlosfrancog/Scripts-Python | c179360fab7db20069bbc7017a6cab0a07f82b0c | f6f5829297710a76eafe86f8ff4ef4e521e4a793 | refs/heads/main | 2023-06-16T21:12:20.069556 | 2021-07-09T01:49:59 | 2021-07-09T01:49:59 | 384,291,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | print('====== DESAFIO 096 ======')
def area(x, y):
print('-'*40)
print(f'''A largura é {x}m e o comprimento é {y}m
portanto a área desse terreno é de {x*y} m²''')
area(float(input('Digite a largura em metros: ')), float(input('Digite o comprimento em metros: ')))
| [
"carlinhosebba123@gmail.com"
] | carlinhosebba123@gmail.com |
7e0a4c94cc03b414ea57b6dfec9317df3a16b0a0 | ea7f2abf791a12ad68862664b39c5b569efb4e27 | /mysite/settings.py | d725f8d5ba29b4570250a5b24ad19ac06a0edf0c | [] | no_license | sparshchaudhary/DO-finHost | 628759e377e618b24a566d970b531f4902ceeaad | 7df5280121e298c461c759998549d064e43b956f | refs/heads/main | 2022-12-28T23:56:03.622114 | 2020-10-09T15:53:02 | 2020-10-09T15:53:02 | 302,612,285 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,372 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
import os
from... | [
"paritoshsparsh@gmail.com"
] | paritoshsparsh@gmail.com |
4cb16d359b699a10e4dea3a8609ef6aa1812ce3a | dfd95c1f541b1b8d8de3e9a99e9ce8308e9e2dcf | /rabbitbreedapi/rabbitbreedapi/wsgi.py | 69fbee08e4ff7baec5ad47d7acfd4691583481d0 | [] | no_license | seniorita-developer/django-rabbitbreeds-rest-api | b6f68fcd22f96914326375f2082528107b716388 | 5d337325c76b121b1bfc81ae26e2db0671b87194 | refs/heads/master | 2023-08-09T12:34:06.589911 | 2021-03-13T22:39:30 | 2021-03-13T22:39:30 | 262,061,173 | 0 | 0 | null | 2021-09-22T19:09:39 | 2020-05-07T13:41:37 | JavaScript | UTF-8 | Python | false | false | 405 | py | """
WSGI config for rabbitbreedapi 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/3.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANG... | [
"valeriia.zabkowska@gmail.com"
] | valeriia.zabkowska@gmail.com |
76bdac5de824a62ecbd79d5265f6e4a71cfb0fb9 | a890d21f8b06b18be4253e53ae1ca99d53fad8d1 | /dissect.py | 1d281a885b406674cf1b5b1c13310173bbc8f1b8 | [] | no_license | mastupristi/memoryLayout | fe2e58e2fc3b11d38bac15d2a2f84e20c6f9d61c | 6bf7c0a8e0069ceb9194456b5610662f0a11dfcf | refs/heads/master | 2023-08-05T00:47:17.759264 | 2023-07-19T15:43:17 | 2023-07-19T15:43:17 | 257,404,761 | 5 | 1 | null | 2023-08-03T10:13:20 | 2020-04-20T21:11:15 | Python | UTF-8 | Python | false | false | 3,771 | py | #!/usr/bin/env python3
# is required that the GNU ARM toolchais is in PATH
import argparse
import sys
from RegionRetriever import RegionRetriever
from MetadataRetriever import MetadataRetriever
class LineEmitter:
def __init__(self, regionStringExtent=16, symbolStringExtent=40, csv=False):
charactersForR... | [
"cialdi@gmail.com"
] | cialdi@gmail.com |
273294c58b5523086e8ff42f3418e24ed11ae517 | dd2f58d6d885289cf8c455b9d33d82d0bfcbd493 | /journal_file.py | 57f00207894dbd996533da64afea8d6dd33d0ce5 | [] | no_license | emresn/sine_curve_generator_for_nx | 3b6a6f8f5e8e0de42bd2d53123ac41c64074e742 | 1832b00295c3d2a250a47f4056caa49b42c1a4b8 | refs/heads/master | 2023-01-22T21:54:03.117984 | 2020-11-22T22:24:19 | 2020-11-22T22:24:19 | 315,127,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,470 | py |
# NX 11.0.0.33
# Journal created by SinCurve Journal Generator for NX
#
import math
import NXOpen
import NXOpen.Features
import NXOpen.GeometricUtilities
import NXOpen.Preferences
def main() :
theSession = NXOpen.Session.GetSession()
workPart = theSession.Parts.Work
displayPart = theSession.Parts.Displ... | [
"esonmez357@gmail.com"
] | esonmez357@gmail.com |
978f7af95d4e531ed067249293500f71b88e4310 | f21e0479bb9f811be2383154c3643b0f29354be7 | /lib/data/dataset.py | c8d6dd038cbec357d79472552368f05bd1db899d | [] | no_license | cokeSchlumpf/thesis--text-sumarization | ceb8861ea8a7fbecd553d756b6c3ed7bb6d10432 | 09f5dd4c02169b1120238d84dc64433737e7b8b7 | refs/heads/master | 2023-03-26T23:38:48.542816 | 2021-03-27T22:03:11 | 2021-03-27T22:03:11 | 323,384,132 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 125 | py | from pydantic import BaseModel
class Dataset(BaseModel):
id: str
name: str
language: str
description: str
| [
"michael.wellner@gmail.com"
] | michael.wellner@gmail.com |
9d8c079179f285f75f1695a88d4e3807acf800c1 | ced968634cb9c6ee4677cd747b02b0a656ba3221 | /env/bin/easy_install | 98cbe45bf86c8f2fafe9ddf8b0ac9682e7acd4e4 | [] | no_license | veganna/hori | ad5c171fd0ea936f047cc375991e9f7a438df7ab | 92e195d9844e08bd9c9cbbbb4d1e1e6eef738461 | refs/heads/main | 2023-09-02T05:53:50.756717 | 2021-11-07T18:12:09 | 2021-11-07T18:12:09 | 425,580,033 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | #!/home/mainsite/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"root@vultr.guest"
] | root@vultr.guest | |
f25ea43254cfc51bed417f8fa0f96ef3c0c306be | ef561ee66e8550945a449d4acce616f9224434eb | /dataset.py | d5f0e3010442affed117392f6fb4e48fba065945 | [] | no_license | cmax1018/genre-rator | 995ebc547c13d95a198d43c9470d8d6a2bfa32ef | de4d7a04b696fa31ffc35696d45180d3842e207c | refs/heads/master | 2022-12-30T19:41:55.803059 | 2020-10-01T23:11:05 | 2020-10-01T23:11:05 | 300,445,749 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,977 | py | import os
import librosa
import math
import json
DATASET_PATH = "genres"
JSON_PATH = "data.json"
SAMPLE_RATE = 22050
DURATION = 30
SAMPLES_PER_TRACK = SAMPLE_RATE * DURATION
def save_mfcc(dataset_path, json_path, n_mfcc=13, n_fft=2048, hop_length=512, num_segments=5):
#build dictionary to store data
data = {
... | [
"cmax1018@gmail.com"
] | cmax1018@gmail.com |
4191a07d0866f458056fcfa0ba8eb8a28f71667e | 42862caf177ef92b4c289f219556ba4da34692f2 | /43-oop-in.py | 78333f93f0658076047911a87f111eaf2c636179 | [] | no_license | w3cp/hukush-pakush | d3691c1e78db8f9b9f6f15d9bc1922d339a69cb5 | 2c5b96c2f180e8b1943da05b50197b16738a8d84 | refs/heads/master | 2021-01-10T01:36:11.873953 | 2016-01-28T02:48:47 | 2016-01-28T02:48:47 | 50,080,537 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 314 | py | class Calculator:
def set( self, first, second ):
self.a = first
self.b = second
def add( self ):
return self.a + self.b
class NewCalculator( Calculator ):
def multiply( self ):
return self.a * self.b
calc = NewCalculator()
calc.set( 2, 3 )
print calc.multiply()
| [
"jannat.books@gmail.com"
] | jannat.books@gmail.com |
3814c9fa8ee783a4e7673e4446b3dd43435c865e | b2f808055ad24641b7b866d70d520f1232f33f6f | /Week_3/1_read.py | 18f6fca6bcbf396c7d3d7d410ee432a2baba2515 | [] | no_license | JayVer2/Python_openCV_Workshop | 361d9a467c85baf88626fb3e03c30f1071a66b35 | 5bafd8123c266461ea8c524ff43b1dc63b571cd5 | refs/heads/main | 2023-08-10T16:12:57.360355 | 2021-09-12T05:29:34 | 2021-09-12T05:29:34 | 401,165,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | import cv2 as cv
import numpy
img = cv.imread('Images/stock-photo.jpg')
cv.imshow('Stock Photo', img)
capture = cv.VideoCapture('Images/fire.mp4')
while True:
isTrue,frame=capture.read()
#show frame
cv.imshow('',frame)
#if the d key is pressed, kill screen
if cv.waitKey(20) & 0xFF==ord('d'):... | [
"jver5037@uni.sydney.edu.au"
] | jver5037@uni.sydney.edu.au |
1b52c2c3ffe41c8ab7b25027361501a0cca289be | d7fda884eda22406b364f6658ecdbaaf940e5c66 | /func/Wordcloud.py | 11dc2828e7561070b869e1a4d4574667be43ce4b | [] | no_license | seraph05230/Wordcloud | 96715150e02fdf671a5d4c020d324dc3f9c874d9 | b2eda65c846f2dd192fdb09c0dc5191f18ca7a74 | refs/heads/master | 2022-12-06T09:48:20.978646 | 2020-09-02T16:30:16 | 2020-09-02T16:30:16 | 292,337,358 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 798 | py | from wordcloud import WordCloud
def Wordcloud(arg):
with open('Top {} keyword.txt'.format(arg), 'r', encoding = 'utf-8') as file:
datas = file.read()
seg_list = datas.replace('\n', ' ')
wc = WordCloud(
background_color = 'black', #背景顏色
max_words = 200, #最大... | [
"endlesslove05230@gmail.com"
] | endlesslove05230@gmail.com |
88ef0b98fb4afcc20cacebf64dc4d096901e441b | bd027b28f96e3191c7098ed5cc73c3d12b5cd88d | /depth-estimation/python/disparity2depth_calib.py | ab19e2e3fe456c9fe1b29190db47d0f72181a8a7 | [] | no_license | joaovictorcfs/learnopencv | 893d5be505ec0374ee51912748ef793b6ad5b874 | 94ad009bb189659bb76a9b0e526ea93b4ae5071a | refs/heads/master | 2023-03-14T23:32:03.493002 | 2021-03-27T22:34:13 | 2021-03-27T22:34:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,290 | py | import numpy as np
import cv2
import matplotlib
import matplotlib.pyplot as plt
# Check for left and right camera IDs
# These values can change depending on the system
CamL_id = 2 # Camera ID for left camera
CamR_id = 0 # Camera ID for right camera
CamL= cv2.VideoCapture(CamL_id)
CamR= cv2.VideoCapture(CamR_id)
# ... | [
"noreply@github.com"
] | joaovictorcfs.noreply@github.com |
00fd8f43ef3c1be530fe652d3726866583d2d0da | 0c24fcbf802ed1881abdfbf14b867d4545237602 | /students/y2336/laboratory_works/Sorokina Mariya/mysite/core/migrations/0003_attraction_image.py | 279eae79239c358f95ab6d3c8a4029611ed1d1f6 | [] | no_license | TonikX/ITMO_FSPO_Web_Django_2020 | d435d2984778d668f6d04c86d78c991b3f390c1a | 267141d6e4ee231ca689c8929f3db25fef15a5fd | refs/heads/master | 2023-01-18T17:38:05.964240 | 2020-11-20T18:08:57 | 2020-11-20T18:08:57 | 245,081,715 | 2 | 139 | null | 2023-04-25T18:54:50 | 2020-03-05T05:59:54 | Python | UTF-8 | Python | false | false | 395 | py | # Generated by Django 3.0.5 on 2020-09-10 18:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0002_auto_20200910_1929'),
]
operations = [
migrations.AddField(
model_name='attraction',
name='image',
... | [
"63239279+MariSorok@users.noreply.github.com"
] | 63239279+MariSorok@users.noreply.github.com |
f26896d45c1284b627b806fe97f62f1b741e4edb | 70a6c77d3a5cd1fee91f5332ac6ef1a030693fe5 | /Baekjoon/5585-거스름돈.py | 25c4bc5830d12bca67a7e8d790b7d6f63f462bfa | [] | no_license | devplutus/Python3 | 2ab32c33e9f326d2bedb18a77bcff05585e7973f | 0026c7a5c86c1dcc4685fdd922b94d6387e1752c | refs/heads/master | 2020-07-11T02:55:00.629864 | 2019-10-24T06:13:21 | 2019-10-24T06:13:21 | 204,431,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | n = 1000 - int(input())
result = 0
_num = [500, 100, 50, 10, 5, 1]
for i in range(len(_num)):
result += n // _num[i]
if n % _num[i] == 0:
break
else:
n = n % _num[i]
print(result)
| [
"JungByeongMan@baggeunmin-ui-MacBookPro.local"
] | JungByeongMan@baggeunmin-ui-MacBookPro.local |
98638a754497de4b925c7afe2cfe4613cca99f49 | 9c409d4a6ddef7fb924e93f382149e1b5507ba81 | /v3/upg26.py | a990b532b49ab566e65c94f535c69c729558e5d1 | [] | no_license | amaroka/KYH-Practice | ded21136418f6845931a611a3a048617faaa3ba2 | 8014afcbec08618fccd2b5acc338fff6a9f62623 | refs/heads/master | 2023-01-12T02:15:30.864185 | 2020-11-16T09:38:45 | 2020-11-16T09:38:45 | 291,672,334 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 511 | py | #from pprint import pprint
import requests
film = input("Sök på en film: ")
r = requests.get("http://www.omdbapi.com/", params={"t": film, "apikey": "9f6d550c"})
data = r.json()
#Title Year Director
#Actors
#imdbRating
#Awards
#Runtime
print("*** Resultat från OMDB! ***")
print(f"{data['Title']} ({data['Year']}) r... | [
"daniel.yngve@student.kyh.se"
] | daniel.yngve@student.kyh.se |
bdf93bfcb0c310da6292671da0b63c8f011fef5b | 331409f6fc5639df4231b942e82c214e552b4c23 | /organizaEvento/wsgi.py | 0ea91946a1dd54ae116d81a2b68a20967a50d9e0 | [] | no_license | LuanHB/Atividade01 | 6fe67acf4dfa0c48051ccb477f9c9fef43848dc7 | 68478033925f371a315512ef4eccf6c97b4c11cf | refs/heads/master | 2020-03-07T15:48:10.760238 | 2018-03-31T19:25:20 | 2018-03-31T19:25:20 | 127,560,251 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | """
WSGI config for organizaEvento 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/2.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANG... | [
"luan.hackbart@gmail.com"
] | luan.hackbart@gmail.com |
78278e990a57092f2ec56732405baf87e7f9f84d | 1fe8d4133981e53e88abf633046060b56fae883e | /venv/lib/python3.8/site-packages/tensorflow/python/layers/normalization.py | 2ff79b4f2e9ffe0a6b49bfc40e106c0aa66daffd | [] | no_license | Akira331/flask-cifar10 | 6c49db8485038731ce67d23f0972b9574746c7a7 | 283e7a2867c77d4b6aba7aea9013bf241d35d76c | refs/heads/master | 2023-06-14T16:35:06.384755 | 2021-07-05T14:09:15 | 2021-07-05T14:09:15 | 382,864,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | version https://git-lfs.github.com/spec/v1
oid sha256:6ba7d44e910c3440fadfac158cda4aa0136a4447c84f005b7144e6cd9b29444d
size 17101
| [
"business030301@gmail.com"
] | business030301@gmail.com |
85ae43871dcc3db57959c181396ab5c178961f2e | 330285bea42e66b1975d62e2f4dd742d4c3ab360 | /franka_moveit/scripts/create_demo_planning_scene.py | 9916a164cc43bf4866b219c232f5d029ec8d94c9 | [
"Apache-2.0"
] | permissive | justagist/franka_ros_interface | 946182e0430d21a9c119470729d7ec5e96caa404 | f1f3649a4b030a9191e0577d980680ec95afa6ab | refs/heads/master | 2021-12-24T22:22:14.599033 | 2021-12-22T13:42:30 | 2021-12-22T13:42:30 | 199,485,892 | 130 | 51 | Apache-2.0 | 2021-05-03T17:11:32 | 2019-07-29T16:07:08 | Python | UTF-8 | Python | false | false | 3,226 | py | #!/usr/bin/env python
# /***************************************************************************
#
# @package: franka_moveit
# @metapackage: franka_ros_interface
# @author: Saif Sidhik <sxs1412@bham.ac.uk>
#
# **************************************************************************/
# /*********************... | [
"saifksidhik@gmail.com"
] | saifksidhik@gmail.com |
c9905c4f0826bb701e09958514299e45c73b5843 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/173/usersdata/265/86697/submittedfiles/moedas.py | a742b7f67e4b1843dcb579ac41fef535ec50768c | [] | 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 | 300 | py | # -*- coding: utf-8 -*-
a = int(input('digite o valor de a: '))
b = int(input('digite o valor de b: '))
c = int(input('digite o valor de c: '))
for qa in range (0,c,1):
if (((c-(qa*a))%)b==0):
print(qa)
qb=(c-(qa*a))//b
print(qb)
break
else:
print('N') | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
9b00852b273076dfd5b240a68081bbe544c1bafa | f06cac9dad8ae3da0640cd23a6f5e84ac9420dbd | /carcosa.py | 594160b0919fbf2210c7ab0a3babe74e6b0c2409 | [] | no_license | funkaoshi/carcosa | f060c66423ce2747b46fa911c1e00e873fb9d701 | f2fbd7082caf032239cbfdc3cd362ca3af0daf49 | refs/heads/master | 2021-09-08T18:30:50.499485 | 2021-09-02T15:21:01 | 2021-09-02T15:21:01 | 7,251,850 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,688 | py | import random
from flask import render_template, Flask
import colour
import dice
import dinosaur
import monster
import settings
import settlement
import spawn
import weapon
import weird
app = Flask(__name__)
app.config.from_object(settings)
def random_hex():
return "%02d%02d" % (dice.d(40), dice.d(40))
@app.r... | [
"ramanan@funkaoshi.com"
] | ramanan@funkaoshi.com |
af9b32fe82f8d824bff595d6996da2de74b51b69 | c4c7140f84673b8268bf25225120916cbd9515e1 | /accounts/serializers.py | 0bd5469f63f2901c69d6f1ec63eb9d41589a9687 | [] | no_license | semyonich/edu | 692f11da22102de7984f59b966a7a9cb4c53ec54 | e91961ae45d781ed606481c5a0961de387c8824b | refs/heads/master | 2020-12-02T21:01:23.944816 | 2017-08-06T17:17:43 | 2017-08-06T17:17:43 | 96,244,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,634 | py | from rest_framework import serializers
from accounts.models import User
from blog.models import Article
from blog.serializers import ArticleSerializer
class UserSerializer(serializers.ModelSerializer):
likes_number = serializers.SerializerMethodField()
articles = serializers.SerializerMethodField()
def ... | [
"s.semenihin@gmail.com"
] | s.semenihin@gmail.com |
fca8609d88669b97081aaea80299bdcffd7d7a2d | 4555d586dc9cc8dd5cab58e4ab49b92c5405b9c4 | /talkingdata/tuning_xgb_test_fe2.py | d78c9fe568e1b44eeee54847a7bea2952dbf07a0 | [] | no_license | statchaitya/Kaggle | 7704fcde90f2c953c9deaa7578653df8170d784d | 012987027876f47b94e10cc9840283c2596ab7db | refs/heads/master | 2021-01-25T14:03:22.568640 | 2019-10-18T23:32:23 | 2019-10-18T23:32:23 | 123,641,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,192 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 10 23:43:51 2018
@author: cgokh
"""
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 10 13:26:41 2018
@author: cgokh
"""
#from sklearn.decomposition import PCA
import gc
import pandas as pd
import numpy as np
import lightgbm as lgb
import xgboost as xgb
from sklearn.cros... | [
"statchaitya@gmail.com"
] | statchaitya@gmail.com |
f404474ad275a09ec62b37505c04bd7782010f35 | 8e8b6eb254e4d24cd94a2dc17db5507929d059c2 | /python/craftassist/voxel_models/geoscorer/models.py | 4e7e9a9fc046975e1dd449f620a97ca0869b9149 | [
"MIT"
] | permissive | afree2004/craftassist | 087a3d4dbb162c91b88ce30723ca320d15b7a0be | dff78e8773e3d907f6ea1a4623a2c0ade7185906 | refs/heads/master | 2020-12-21T13:45:37.276045 | 2020-01-17T14:18:09 | 2020-01-17T14:18:09 | 236,448,535 | 1 | 0 | MIT | 2020-01-27T08:38:53 | 2020-01-27T08:38:52 | null | UTF-8 | Python | false | false | 17,761 | py | """
Copyright (c) Facebook, Inc. and its affiliates.
"""
import argparse
import torch
import torch.optim as optim
import torch.nn as nn
import os
import random
import string
from shutil import copyfile
def conv3x3x3(in_planes, out_planes, stride=1, bias=True):
"""3x3x3 convolution with padding"""
return nn.C... | [
"drotherm@fb.com"
] | drotherm@fb.com |
e0e94e4d38d76f3390d1bccd9905611afc425cc0 | 692f9d0f891fa670c56d88b96312c8295fcf06b3 | /olivemain/tests/core/full_node/full_sync/test_full_sync.py | a5dba0bbfdcc896e275950cd9f6b04545b81cccc | [
"Apache-2.0"
] | permissive | aisuyi065/Olive-blockchain | 97302c1002eb140957fa57eb1932f683847b4d64 | a4f5d48597af90343279597a81fd6441f4de9223 | refs/heads/main | 2023-06-30T04:41:09.882393 | 2021-08-07T03:53:27 | 2021-08-07T03:53:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,659 | py | # flake8: noqa: F811, F401
import asyncio
import logging
import time
from typing import List
import pytest
from olive.full_node.weight_proof import _validate_sub_epoch_summaries
from olive.protocols import full_node_protocol
from olive.types.blockchain_format.sub_epoch_summary import SubEpochSummary
from olive.types.... | [
"87711356+Olive-blockchain@users.noreply.github.com"
] | 87711356+Olive-blockchain@users.noreply.github.com |
ffbb923905cedb23748806a6e5a210f52377acc7 | c42672aeac984ab3f57d840710e145f4e918ba01 | /nasws/cnn/search_space/monodepth/analysis.py | 872b130085e3b8170a5f7d4627a9b3fd1c6b5248 | [
"MIT"
] | permissive | kcyu2014/nas-landmarkreg | 00212b6015d1fef3e7198bfa596fa69a898167c2 | a00c3619bf4042e446e1919087f0b09fe9fa3a65 | refs/heads/main | 2023-07-21T19:52:19.392719 | 2021-08-24T09:37:24 | 2021-08-24T09:37:24 | 350,368,390 | 10 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,434 | py | import os
import glob
from collections import defaultdict
from monodepth.utils.reporter import tensorboard_check_tags, tensorboard_load_summary, count_parameters_in_MB_search
from monodepth.utils.checkpointer import load_args
from monodepth.models import MidasNet, MidasNetSearch
from nni.nas.pytorch.fixed import FixedA... | [
"16794548+kcyu2014@users.noreply.github.com"
] | 16794548+kcyu2014@users.noreply.github.com |
1d7242ee228c3499a7daee0cb5dc3b945a4c01c4 | 66eefa859d8e28a1872acf0876bdfd1452fff05b | /RadioButtons.py | 37c6ee279aff9b8d0b9ad0d61fad31379de1fd69 | [] | no_license | Aravinda93/Python_KinterApp_application | e42fb4dd954953401e7bb9e03f95cf4f1ddaed5f | d45b26be589bcdc0151fb06186561cb6ac68a258 | refs/heads/master | 2022-06-04T23:52:16.104014 | 2020-05-03T08:50:00 | 2020-05-03T08:54:42 | 260,862,076 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 885 | py | from tkinter import *
from PIL import ImageTk, Image
root = Tk()
root.title('Radio Buttons')
root.iconbitmap('./Icon_File.ico')
#r = IntVar()
#r.set('2')
#Radiobutton(root,text='Option 1', variable=r, value=1, command= lambda: clicked(r.get())).pack()
#Radiobutton(root,text='Option 2', variable=r, value=2, command= ... | [
"ABaliga@its.jnj.com"
] | ABaliga@its.jnj.com |
c2173d4f6bb9c57954235c69d64e9d11d6ea7e15 | c083798cc6d9a7d0df5ab5534a07f5e7fd915095 | /Curso estadistica descriptiva/datos cuantitativos/boxplots_con_python.py | a017310c7c626376f78b0e16852e76421966e807 | [
"MIT"
] | permissive | DarkShadow4/Python | 2e26be4d4e8660a5bf7e6d0748379e70d41189c5 | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | refs/heads/master | 2021-07-07T19:01:35.596813 | 2020-08-19T17:51:06 | 2020-08-19T17:51:06 | 174,096,874 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 899 | py | import numpy as np
import matplotlib.pyplot as plt
np.random.seed(19990519)
dist1 = 100*np.random.rand(50)
dist2 = 50*np.random.rand(25)
dist3 = 100+100*np.random.rand(10)
dist4 = -100*np.random.rand(10)
data = np.concatenate((dist1, dist2, dist3, dist4))
plt.boxplot(data)
plt.boxplot(data, notch=True)
# Boxplot ... | [
"exxericxx@gmail.com"
] | exxericxx@gmail.com |
00868bf5c2508b4f24084132b710bd214998c056 | 524acbbc16eac0ef28da58ff9f79d02d7cadcf1b | /backend/shop_time/categories/views.py | be8c7d554b3cbf84338a20c5cf0a4fe64763644b | [] | no_license | ZandTree/art-shop | 47eb6ed6f328157c852cef6e324e4be5ab3592f8 | faa506fb62f845168b9874a720c0b62808245058 | refs/heads/master | 2023-06-01T06:40:28.755068 | 2021-06-18T23:53:57 | 2021-06-18T23:53:57 | 376,624,201 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,802 | py | from rest_framework.views import APIView
from .models import Category
from .serializer import CategorySerializer
from rest_framework.permissions import AllowAny
from rest_framework import status
from rest_framework.response import Response
class CategoryList(APIView):
""" get all categories with tree structure"... | [
"diafox2015@gmail.com"
] | diafox2015@gmail.com |
e8b5600959c1d3b58f0f27611d842e52ea095e4e | 4b8cf3702215220b875556e3c3600990f17e44e5 | /ctci/hackerrank_ctci_problems/ice_cream_two_sum.py | d739b117f48778223666961dd23fee8f71ad2e20 | [] | no_license | celeritas17/practice-makes-perfect | 8842795ab7cd397a8c916ed5ebec791970467656 | 600e65fbb30935f4fbd5e1951617ad4bf6e84755 | refs/heads/master | 2020-07-29T13:33:21.276609 | 2016-11-21T07:10:22 | 2016-11-21T07:10:22 | 73,665,026 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | t = int(input().strip())
for a0 in range(t):
m = int(input().strip())
n = int(input().strip())
a = [int(x) for x in input().strip().split(' ')]
cost_map = {}
for index, cost in enumerate(a):
if (m - cost) in cost_map:
print('{0:d} {1:d}'.format(cost_map[m - cost] + 1, index ... | [
"ryan.koven@clicktripz.com"
] | ryan.koven@clicktripz.com |
fba04c2e430f603715e62015d0f0dff369156857 | 4eff087e9d93b70f8c137ff28000aff30030fbd0 | /OpenCV/Detect & Shot.py | 66851939eb1aff4e267e11cbeae0e35c1bd1436f | [] | no_license | hatamiarash7/Python-Projects | 3955fbc2653b6fac28498b7f3c3353e3ea533ef5 | 8de7a184d73666bcc9539ac710f54d79692de444 | refs/heads/master | 2022-07-27T04:22:34.039112 | 2022-05-25T06:43:53 | 2022-05-25T06:43:53 | 66,276,150 | 4 | 4 | null | 2022-05-05T13:23:15 | 2016-08-22T13:42:14 | Python | UTF-8 | Python | false | false | 1,115 | py | import cv2, math
camera_port = 0
image_number = 0
ramp_frames = 30
frame = 0
cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
camera = cv2.VideoCapture(camera_port)
def take_shot():
retval, im = camera.read()
return im
def snapshot():
global image_number, frame
for i in xrange(ramp... | [
"hatamiarash7@gmail.com"
] | hatamiarash7@gmail.com |
d116cf499ae6b5ea0e40f3a62ee8e3bcd94e6a5e | 824f19d20cdfa26c607db1ff3cdc91f69509e590 | /random/strings/345. Reverse Vowels of a String.py | 88e11095e0c062114eea3783f47a5500cedfc1f9 | [] | no_license | almamuncsit/LeetCode | 01d7e32300eebf92ab54c983de6e183242b3c985 | 17aa340649574c37067ec170ceea8d9326be2d6a | refs/heads/master | 2021-07-07T09:48:18.069020 | 2021-03-28T11:26:47 | 2021-03-28T11:26:47 | 230,956,634 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 689 | py | class Solution:
def reverseVowels(self, s: str) -> str:
s_list = list(s)
vowels = set({'a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U'})
left = 0
right = len(s_list)-1
while right > left:
if s_list[left] in vowels and s_list[right] in vowels:
s_li... | [
"msarkar.cse@gmail.com"
] | msarkar.cse@gmail.com |
429956eddb56a7394a8ae202690bba6666176a3c | 451bc23c13bf5e4ea6894c5c388122396cb2266f | /06-Lessons/2/Activities/08-Evr_Itinerary/Solved/config.py | a45f08592bdc3a307e4e2d8d733fbfefb696f9e4 | [] | no_license | junepwk/UCF-VIRT-DATA-PT-04-2021-U-B | 92f54f5a13a9b48eec6e8ceca978bfa563ca6c39 | 30494d208a4af0ad6259056ffbf1c5f0009eb404 | refs/heads/main | 2023-07-17T23:21:33.939288 | 2021-09-02T00:55:08 | 2021-09-02T00:55:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28 | py | # Google API key
g_key = ""
| [
"43150545+wjosil@users.noreply.github.com"
] | 43150545+wjosil@users.noreply.github.com |
b96e448d5371d3490fb2925a38ecd17ddd7f10ef | 55ea867594ea4a7de0148da49707179f22f62e38 | /tags/annot-01-20-05/bin/gene_table.py | aaa0b48152afe673f5c34d1ee11cab1d59599173 | [] | no_license | polyactis/annot | 2120a1b717e0e8c211d8e7d4e83b6b91aa30b5f3 | 14ae017a68afa1afca2b96f848288fc3138361b1 | refs/heads/master | 2021-01-02T08:21:47.919049 | 2011-01-26T00:05:32 | 2011-01-26T00:05:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,579 | py | #!/usr/bin/env python
"""
Usage: gene_table.py -k SCHEMA -g ORGANISM [OPTION] DATADIR
Option:
-z ..., --hostname=... the hostname, zhoudb(default)
DATADIR is the directory containing all the datasets
-d ..., --dbname=... the database name, graphdb(default)
-k ..., --schema=... which schema in the database
-g ...,... | [
"(no author)@4ebff559-900f-0410-a220-daa186eb8a63"
] | (no author)@4ebff559-900f-0410-a220-daa186eb8a63 |
fca18013fb07368f89be1b33993994ad6bf196ec | c9ff31d952ad987ac82252cd105bb469bf9ece8b | /email_bot2.py | b90d73bb290914c742cecd4b51679393e733c32a | [] | no_license | jasdevdevelopment912/email_bot | d8b05a13cff70733e5e79dbba09f27e67c3abda7 | 18f4777051a4f8e3116a26302f2e3094942f97fc | refs/heads/main | 2023-07-24T03:42:49.715345 | 2021-09-07T06:13:17 | 2021-09-07T06:13:17 | 403,854,801 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,311 | py | import smtplib
import speech_recognition as sr
import pyttsx3
from email.message import EmailMessage
listener = sr.Recognizer()
engine = pyttsx3.init()
def talk(text):
engine.say(text)
engine.runAndWait()
def get_info():
try:
with sr.Microphone() as source:
print('listening...')
... | [
"noreply@github.com"
] | jasdevdevelopment912.noreply@github.com |
37c2f232d97c06d15de91eb5e0f0b6de7178a0a7 | 2b864a4979078e66cb8da2fbd7a8583bcaa00815 | /day_8/caser-cipher-3.py | 85a240e72c3f44b33f8dcd5beb2d4fc382ced904 | [] | no_license | yuvipatil007/python_new | e5bf2ab25b6f427a83ea6af1a40f4e4f7f924e09 | 25a4fdec6225134b1d756ff48356b48ee2b600b3 | refs/heads/master | 2023-08-22T21:43:45.207906 | 2021-10-06T19:50:46 | 2021-10-06T19:50:46 | 413,180,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,733 | py | alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
direction = input("Type 'encode' to encrypt, ty... | [
"yuvipatil007@gmail.com"
] | yuvipatil007@gmail.com |
1b88da6362b35e870c5a429dd1a976a8098479b0 | 69e5d9167378621a17514ef1f802365aef6f7baf | /kits19/src/config.py | 116fca0562e8c07270d14c9559b29e4242763b21 | [] | no_license | ylochman/ML-algorithms | beb0656e39a8aaa8ec68840236199bc35d7b02b5 | 3be362b35cfadbadd9d14e52dc28c6fce5ea3cc3 | refs/heads/master | 2023-05-22T18:29:46.788626 | 2020-03-25T05:40:58 | 2020-03-25T05:40:58 | 175,162,185 | 0 | 1 | null | 2021-06-15T11:30:50 | 2019-03-12T07:59:32 | Jupyter Notebook | UTF-8 | Python | false | false | 221 | py | import torch
config = {
'CHECKPOINT': "unet.pth",
'LR': 0.001,
'L2': 0,
'DEBUG': False,
'CUDA': torch.cuda.is_available(),
'DEVICE': torch.device("cuda" if torch.cuda.is_available() else "cpu")
}
| [
"sasha.chepurnoii@gmail.com"
] | sasha.chepurnoii@gmail.com |
68dccaff016d11cce153e1b9db7affab3c07bd9b | 01ea95d7301b9ad3b84f11c8cbcfe02d00017250 | /bin/until/echarts/Line.py | 74f27f3640b6945c26b0de1fc9a04cfdff387304 | [] | no_license | windyStreet/MQSTATIC | 82962ae7a43d015dac61cb6ffce8d8853e6774df | b5a3d3862bd824b4a08b1c29436e417a9590dcab | refs/heads/master | 2020-12-02T21:13:37.952192 | 2017-07-20T10:20:14 | 2017-07-20T10:20:14 | 96,275,208 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,518 | py | #!/usr/bin/env python
# !-*- coding:utf-8 -*-
import datetime
from bin.until import Logger
from bin.until import Time
from bin.until import Mongo
from bin.until import DBCODE
from bin.until import Filter
from bin.logic import BO
from bin.until import Data
L = Logger.getInstance()
class Line(object):
# search_fil... | [
"yq904276384@foxmail.com"
] | yq904276384@foxmail.com |
daa5151ecdd0e6255246f351a7bd9fe8a6322de9 | f323c22aa12212d2b32730fa435485dc66fafb7e | /bookseller/wsgi.py | aae45180e8fbb3ca91959823022aa61f5bda28b2 | [] | no_license | xinleima/azure-app-service-demo | 617b7519bd96e1607cbc75dc13fc2978b33d6942 | c83c834db651831b8ea1c058e85aeaebb4d5ea47 | refs/heads/master | 2023-04-26T23:14:01.094517 | 2019-11-26T11:16:58 | 2019-11-26T11:16:58 | 224,163,169 | 0 | 0 | null | 2023-04-21T20:42:37 | 2019-11-26T10:22:20 | HTML | UTF-8 | Python | false | false | 413 | py | """
WSGI config for bookseller 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/2.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefau... | [
"1376260753@qq.com"
] | 1376260753@qq.com |
4442f06af05e88ccdffcc17cb294b3645525b836 | 29d1b8d1e01cda9c963b68074a4de18a67ef8c00 | /home_work_12 (2).py | 99d9ac6838eaff5c464b28f3ff3759fcacf019b8 | [
"MIT"
] | permissive | acc-cosc-1336/cosc-1336-fall-2017-stevepaul135 | fd515d3c7fdb75f408a045f4329efd6dfb783323 | 691cafe85cabd8f5829323fec77676d96c9225d4 | refs/heads/master | 2021-08-28T03:09:16.436604 | 2017-12-11T04:58:15 | 2017-12-11T04:58:15 | 103,597,729 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,082 | py | #Stephen Paul's 12th homework assignment
class Person:
def __init__(self, first_name, last_name):
self.name = first_name + ' ' + last_name
def displayPerson(self):
print("This persons name is", self.name)
class Student(Person):
def __init__(self, student_id, firs... | [
"noreply@github.com"
] | acc-cosc-1336.noreply@github.com |
d12baed8bb90fd2eb5fc8f373ff621f866f1a512 | 1f3bbec6cce4c8d5388fdc978c61767112e286ef | /tests/unit/plugins/test_stackoverflow.py | 8604d6cd69dc601600aed40a767d3be5c54c2ffd | [
"MIT"
] | permissive | igorsobreira/eizzek | 615caae8c3a998084273e5b5d5743708d96bb95d | 2144e859f56130cbfa05a2a6604d3255ac81dbbf | refs/heads/master | 2021-01-02T23:14:03.834318 | 2010-09-21T04:25:07 | 2010-09-21T04:25:07 | 754,462 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,219 | py | import os.path
import unittest
from eizzek.plugins.stackoverflow import build_response, QuestionsParser, TaggedQuestionsParser
from eizzek import registry, PluginResolver
class RegexTestCase(unittest.TestCase):
def setUp(self):
# unregister the original plugin
self.stackoverflow_regex, self.s... | [
"igor@igorsobreira.com"
] | igor@igorsobreira.com |
de34a902c1cf0f225a3a4a48862d4adbda05a125 | b628c03aeaa7f77c2044ed4f65b92ca68dd48f6c | /absoluteCLF/src/util.py | be1604da231b2f1af13036ed5161bcd25f19dd84 | [
"MIT"
] | permissive | horoiwa/VisionML | 75ff8907cd1fe7b4fcaafd8d9ad6687a7284fef7 | 95fa454a4c309f5e985dff1d067dd8341d260a3c | refs/heads/master | 2020-08-31T22:20:22.618305 | 2019-11-02T15:20:20 | 2019-11-02T15:20:20 | 218,785,495 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,398 | py | import os
import shutil
def cleanup(mode='all'):
folders = ['__dataset__', '__checkpoints__', 'image_test',
'config_test']
for folder in folders:
if os.path.exists(folder):
shutil.rmtree(folder)
def folder_check():
if 'train' not in os.listdir('images'):
raise... | [
"horoiwa195@gmail.com"
] | horoiwa195@gmail.com |
90d6f660fc707b3274db7f0914067230d68bc7f1 | cc3553618de66276b7bd72175c7f975cf073ce89 | /Examples/scripts/binning_2.py | 9446c4b4205c8d723bf4ca669713ebf34ba53ff7 | [
"MIT"
] | permissive | brianpm/hacknostics | 4c221cb1c2beafc759ee39dcafa143071dd4e7fe | a792eae6f50ef3efd4bea646bac82963d07c23a1 | refs/heads/master | 2022-08-07T06:42:33.019906 | 2022-06-22T23:11:22 | 2022-06-22T23:11:22 | 190,219,024 | 3 | 2 | MIT | 2020-02-21T04:34:35 | 2019-06-04T14:33:50 | Jupyter Notebook | UTF-8 | Python | false | false | 5,013 | py | ;***************************************************************
; binning_2.ncl
;
; Concepts illustrated:
; - Create an array that spans the desired area
; - Read data [ here, create bogus data]
; - Loop over data and count instances of occurence
; - Plot the data
;
;*******************************************... | [
"brianpm@ucar.edu"
] | brianpm@ucar.edu |
34f47be9ef55d3d72a7abc700bc1d17d771fd10e | f82e67dd5f496d9e6d42b4fad4fb92b6bfb7bf3e | /scripts/client/gui/scaleform/daapi/view/meta/serverstatsmeta.py | 4a28fbbfafb863429e1181c69015f9b805026cc8 | [] | no_license | webiumsk/WOT0.10.0 | 4e4413ed4e7b00e22fb85d25fdae9400cbb4e76b | a84f536c73f86d9e8fab559e97f88f99f2ad7e95 | refs/heads/master | 2021-01-09T21:55:00.662437 | 2015-10-23T20:46:45 | 2015-10-23T20:46:45 | 44,835,654 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,339 | py | # Embedded file name: scripts/client/gui/Scaleform/daapi/view/meta/ServerStatsMeta.py
from gui.Scaleform.framework.entities.BaseDAAPIComponent import BaseDAAPIComponent
class ServerStatsMeta(BaseDAAPIComponent):
def getServers(self):
self._printOverrideError('getServers')
def relogin(self, id):
... | [
"info@webium.sk"
] | info@webium.sk |
02a29652ff4002ff213de2e6753b4912bb85ea9e | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_392/ch4_2019_06_05_14_33_33_171155.py | cdcdf2b3d67996003e841afaca8af0a2d1c0ff25 | [] | 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 | 158 | py | def classifica_idade(x):
if x <= 11:
return'crianca'
elif x >= 12 and x <= 17:
return 'adolescente'
else:
return 'adulto'
| [
"you@example.com"
] | you@example.com |
10d9141cdba16b8dd41e1990f2c5db77784d943c | b5c64bde359a14e21b785b85fc26ae740044cba8 | /uploads/settings.py | d77dafd24d517f42d1f2bcf538796b6a96aa77c2 | [
"MIT"
] | permissive | werwlo/Horoskop | 8ef6c739fed94282b1c39681db301e2f6871f468 | 361f448828d6d01b26be817fb82f7f793782d64d | refs/heads/master | 2022-04-29T18:21:21.465464 | 2020-01-20T12:17:22 | 2020-01-20T12:17:22 | 222,987,759 | 0 | 1 | MIT | 2022-04-22T22:45:12 | 2019-11-20T17:07:08 | HTML | UTF-8 | Python | false | false | 3,497 | py | """
Django settings for uploads project.
Generated by 'django-admin startproject' using Django 1.9.8.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
... | [
"noreply@github.com"
] | werwlo.noreply@github.com |
e7317c8785753725ec1d2975e007271c55247b94 | 179806a654a1fae15ee9af53d79d14874cd86ccc | /class/polymorphism.py | e7d3f29d45cbe956eeab5fec150bd05bb3bf14e6 | [] | no_license | Suhaiz/first | 6400cd26eb0e703482847133cf6bcf6fa0cb1df3 | 253f86cc5438b4d2963588f7e01d45ac068e1f0e | refs/heads/master | 2020-11-29T20:02:51.519735 | 2019-12-26T06:21:04 | 2019-12-26T06:21:04 | 230,205,240 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 647 | py | # many forms...........same name different functionalities
#
# 1.method overloading
# implements in the same class
# so there will be two methods with the same name inside a class but different parameters
# doesnt support directly in python
# 2.memaththod overiding
# inheritance is mandatory
# class parent:
# ... | [
"suhaizalikb@gmail.com"
] | suhaizalikb@gmail.com |
01dd6b0b9583bab5ad28d39492df06c720c411a8 | a85cbde1520cc5299eae7220a9739d948ce5dea1 | /ERAN/tf_verify/deeppoly_nodes.py | 1ae03b1fe9de2d44b3f74b958c22c2f40cf2eda5 | [] | no_license | nikos-kekatos/SapoForNN | 8c819f84604972cbebad771794205f80dc8b94c2 | 44a38cd36d442e7e555c2babc59dd91b8337a0ea | refs/heads/main | 2023-01-20T05:20:08.185279 | 2020-11-30T09:11:19 | 2020-11-30T09:11:19 | 304,479,761 | 0 | 0 | null | 2020-10-16T00:34:25 | 2020-10-16T00:34:24 | null | UTF-8 | Python | false | false | 24,862 | py | '''
@author: Adrian Hoffmann
'''
import numpy as np
from config import config, Device
if config.device == Device.CPU:
from fppoly import *
else:
from fppoly_gpu import *
from elina_interval import *
from elina_abstract0 import *
from elina_manager import *
from ai_milp import *
from functools import reduce... | [
"pippia.eleonora@gmail.com"
] | pippia.eleonora@gmail.com |
00b9b8a260c605b4020f1ce3da5e814c4811049e | 45e00ebe0707c04711caba76d0199899eda4ab7b | /finallabexam.py | bc88cb8d0b344c589280c55c591ffc679263b318 | [] | no_license | inwk6312winter2019/openbookfinal-kalpana-27 | 383039a1dd71087431406086e07f5ed6c4b8de50 | fbfef714683b99ce9d2ad4d47f3a7f561fc6a039 | refs/heads/master | 2020-04-23T04:17:11.488759 | 2019-02-15T19:26:55 | 2019-02-15T19:26:55 | 170,903,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | fin = open("Book1.txt","r")
fin1 = open("Book2.txt","r")
fin2 = open("Book3.txt","r")
def unique_words(task1):
list1 = []
for line in task1:
word = line.strip()
word = word.split()
list1.append(word)
if word not in list1:
list1.append(word)
return list1
print(unique_words(fin))
print(... | [
"kalpana@dal.ca"
] | kalpana@dal.ca |
8d14c06e58e1672981c98743bcf34772582e938e | f947eedcf7e9ab25d163608c87b3640f627eab63 | /change_bit.py | 876a472e0823ba5c1d6612611bef173e6990b0a2 | [] | no_license | FRsparrow/python | 1b6b6fcd8f3e46f94c68e9b96d3cf746c922e606 | 24ab8945bb8dd2d5c7bcb10532be440a0f14a348 | refs/heads/master | 2020-08-27T21:34:53.112323 | 2019-10-25T09:03:20 | 2019-10-25T09:03:20 | 217,494,209 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 275 | py | s = input()
length = len(s)
print(length)
for row in range(2,13):
if length % row == 0:
temp = ""
col = int(length / row)
for i in range(col):
for j in range(i, length, col):
temp += s[j]
print(temp)
| [
"noreply@github.com"
] | FRsparrow.noreply@github.com |
d437ea75e960d5ce81adcf104535caa79226f268 | 50eb3e1604ee4ad27a592ab827dd5f4cfe85e608 | /labelImg.py | 638dd713e50c62d89626f41404bbe739e4b15d35 | [
"MIT",
"GPL-1.0-or-later"
] | permissive | Xuner1213/labelImg-1.8.2 | a150825e0ecca76a34782f710ccdcd067ebdd20c | ce936dcfe17a5e8ae845f3a9b8718f239cf6e023 | refs/heads/master | 2022-07-21T01:34:32.685441 | 2019-08-31T14:24:39 | 2019-08-31T14:24:39 | 205,554,190 | 0 | 0 | MIT | 2022-07-06T20:14:55 | 2019-08-31T14:23:23 | Python | UTF-8 | Python | false | false | 59,028 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import codecs
import distutils.spawn
import os.path
import platform
import re
import sys
import subprocess
from functools import partial
from collections import defaultdict
# hello
try:
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets i... | [
"1531002208@qq.com"
] | 1531002208@qq.com |
b1bf135e5fda6f5f89bcad4b6a5e4891984e99e2 | e2d56728bf7cd4506367bedf58e6f9f33ffd74b8 | /youTubePlaylistTime.py | 1f7a259a3b8b0dcaa2ba1a44f785e327a8ef3fc2 | [] | no_license | trilok01/youtubePlaylistTime | 69b11e9fab0056b44599f6dfd7c0e2f19befb7ec | 0b563bb4599fff846ba1bdd6978742292eaf03fb | refs/heads/main | 2023-06-04T06:27:02.174236 | 2021-06-19T15:03:02 | 2021-06-19T15:03:02 | 378,438,009 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,202 | py | from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
import time
PATH = 'C:\\Program Files (x86)\\chromedriver.exe'
driver = webdriver.Chrome(PATH)
time.sleep(5)
playlistURL = input('\n\n\nEnter Youtube playlist URL: ')
# Open playlist
driver.get(playlistURL)
tim... | [
"noreply@github.com"
] | trilok01.noreply@github.com |
3726d7e50f4e7e01a69b4c4868584ae6e4ceac20 | 8fbcf2903d74c346bbf9e51b569db810a8f1a8fd | /detect-video-iou.py | 155275bc80de153b02a1323ad030940070b1bb4f | [] | no_license | chanbunlee/UI-Demo-for-object-detection | a45ead288203b2b74cf66ecc68db102302bde369 | 22e70a2d4212f905ae2650af7c969b9cb020b0c2 | refs/heads/main | 2023-06-06T03:12:54.228920 | 2021-06-23T09:37:39 | 2021-06-23T09:37:39 | 379,546,663 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,605 | py | import argparse
import os
import shutil
import time
from pathlib import Path
import cv2
import torch
import torch.backends.cudnn as cudnn
from numpy import random
from models.experimental import attempt_load
from utils.datasets import LoadStreams, LoadImages
from utils.general import (
check_img_size, non_max_sup... | [
"chanbunlee@163.com"
] | chanbunlee@163.com |
bfc18eaa66e8178ea1f6ceae0421145d57bb023a | 8821970a489ea190ab7dd6a2da8f672681138543 | /piston/web/__init__.py | acfc64d31c318a7da92d7c776160f900b4897930 | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | grey580/piston | ab293d449728c9fbcc442adc0463135628548deb | 5a3472517e2de14e75eb688cf9335b2c98c3e6f4 | refs/heads/master | 2021-01-09T05:35:52.587268 | 2017-02-02T09:37:50 | 2017-02-02T09:37:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,583 | py | import re
from ..utils import strfdelta, strfage
from ..storage import configStorage as configStore
from .app import app, socketio
from ..steem import SteemConnector
from . import views, assets
import logging
log = logging.getLogger(__name__)
steem = SteemConnector().getSteem()
__ALL__ = [
"app",
"assets",
... | [
"mail@xeroc.org"
] | mail@xeroc.org |
be8b3285716a1e4bdb01c378d9222a6232ea5d36 | b803e175e8080ebf8b713b09f81925a6336a8443 | /Word.py | fe21f15d0a189d1372eba36d42ef25ba307a4ca0 | [] | no_license | NDudeck/MachineLearningTest | dd346fbe35ac080c791142c0e9ec00e67626268d | 4d5f352a981a65b9de8b4e969ed4993a88b4369b | refs/heads/master | 2022-04-02T21:45:41.101882 | 2020-02-06T16:16:32 | 2020-02-06T16:16:32 | 197,981,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,033 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 12 11:26:16 2019
@author: ndudeck
This script defines a function object. To construct a function object, it
needs a lambda function to create.
"""
import numpy as np; #This does some math stuff easily
class Word:
#Any variable defined ... | [
"noreply@github.com"
] | NDudeck.noreply@github.com |
34d6d85b02c3b8d0e8734802762acb51523c3fa1 | b56c584ba04de13c7a05f6633893b318eb3fb19d | /课后作业/第五天作业/guoqijun/Chapter 12/scapy_ping_one_new.py | a64b040c34aa4916e5a8141ec9405dfbff24807a | [] | no_license | I318928/Python-Homework | 42133f1291cc3da90293f994ae1a09dce618bdad | 139b450f4bf2e4831688df80c12f43edcc00e468 | refs/heads/master | 2020-06-01T06:53:50.733061 | 2019-04-17T12:12:16 | 2019-04-17T12:12:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 429 | py | #!/usr/bin/env python3
# -*- coding=utf-8 -*-
from scapy.all import *
def qytang_ping(ip):
ping_pkt = IP(dst=ip) / ICMP()
ping_result = sr1(ping_pkt, timeout=1, verbose=False)
if ping_result:
return ip, 1
else:
return ip, 0
if __name__ == '__main__':
result = qytang_ping('192.16... | [
"xiaoyang429670@gmail.com"
] | xiaoyang429670@gmail.com |
14b05dbce16975b542d6409149a24a4079334f70 | 3b4f985759e44dc169134ae7dcee8e92747c4b01 | /tests/tests_app/components/multi_node/test_trainer.py | 249d7868652bb9800f69f27af8365d32b7063452 | [
"Apache-2.0"
] | permissive | SkafteNicki/pytorch-lightning | 4b09863bf222241ca7128d13df94ff60b71e50aa | 7df627b43746a85aa87671bec3e6dada0d98b556 | refs/heads/master | 2023-07-15T21:20:02.468216 | 2023-05-04T08:12:33 | 2023-05-04T08:12:33 | 248,216,299 | 3 | 1 | Apache-2.0 | 2023-07-10T02:40:24 | 2020-03-18T11:44:20 | Python | UTF-8 | Python | false | false | 3,538 | py | import os
from copy import deepcopy
from functools import partial
from unittest import mock
import pytest
from lightning_utilities.core.imports import module_available
from lightning_utilities.test.warning import no_warning_call
import pytorch_lightning as pl
from lightning.app.components.multi_node.trainer import _L... | [
"noreply@github.com"
] | SkafteNicki.noreply@github.com |
7c0f8ef2e5e76dd512f4593f86eb29756a26e302 | be6e1acc03149aee1ffbdaa315cf8b7d175fffe9 | /event_log.py | 6d347539f3034a82bf2d2298b62c74976e512faf | [
"MIT"
] | permissive | rebcabin/cartpoleplusplus | 763c22d41fc6f13b01a1519da3b51de91cfd03f7 | f986f495755369f571dcbb9a79d21680b916c0f4 | refs/heads/master | 2020-04-05T08:27:28.420983 | 2018-11-24T01:17:47 | 2018-11-24T01:17:47 | 156,716,591 | 0 | 0 | MIT | 2018-11-08T14:10:29 | 2018-11-08T14:10:28 | null | UTF-8 | Python | false | false | 6,521 | py | #!/usr/bin/env python
import event_pb2
import gzip
import matplotlib.pyplot as plt
import numpy as np
import StringIO
import struct
def rgb_to_png(rgb):
"""convert RGB data from render to png"""
sio = StringIO.StringIO()
plt.imsave(sio, rgb)
return sio.getvalue()
def png_to_rgb(png_bytes):
"""convert png (f... | [
"matthew.kelcey@gmail.com"
] | matthew.kelcey@gmail.com |
2335ab5ef2d8e308ecae55994013a93003c46571 | 44d3091c8a93f49aebbdf2f9ffd2d81b44fbbaf9 | /23_list_check/list_check.py | 646ea04db8e24244e34bf88fb8ecb866cc37ac8e | [] | no_license | Tim-Birk/python-ds-practice | 9d54d4f5fb601c55de5371cbc83b7da696273758 | 9990672cf52b8e4d7be7425dabbbc954909f2886 | refs/heads/master | 2023-02-05T07:58:09.969208 | 2020-12-28T15:53:57 | 2020-12-28T15:53:57 | 324,801,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 243 | py | def list_check(lst):
"""Are all items in lst a list?
>>> list_check([[1], [2, 3]])
True
>>> list_check([[1], "nope"])
False
"""
return len([item for item in lst if type(item) == list]) == len(lst)
| [
"timbirkmire@yahoo.com"
] | timbirkmire@yahoo.com |
9c0f49814adb26d4b6bde24af40fb90845ccac80 | d34da4a69ebef62d4b17b8b56f0eca72f0c021e4 | /traffic_sign/subset_coco.py | 4e117ea2e1cf5dff2b36cba086a24552a7c93498 | [] | no_license | gy20073/aws | 91c193e18a15ab4d20acf9d58078bda791b39c38 | 1d73ce215026b1baa91a359628c26edeb59a22ce | refs/heads/master | 2020-03-19T03:55:24.406320 | 2019-10-12T05:35:30 | 2019-10-12T05:35:30 | 135,775,172 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,296 | py | import os
# for each label file, check whether stop sign in it.
# if do, then create new label file with only stop sign, in label dir, and add an entry of this image in the index file
subset="train2014"
label_path = "/scratch/yang/aws_data/coco/labels_bak/" + subset
out_path = "/scratch/yang/aws_data/coco/labels/" + ... | [
"gy20073@gmail.com"
] | gy20073@gmail.com |
2f032123bf187d3ba42c9136a45b41b4a8508e62 | bdee85d47d4fcdca9fa70a75de6f4317a015c1f8 | /dailyfresh/df_goods/apps.py | 64c11b12d446edf6485ebc43170ad5da11180c46 | [] | no_license | renjw234/django | ac8d6cdb7fe54bb9625ae5cdd07cd93e13a62135 | 5b25b9e754001697f6bc5043bbcf80c1c3201f66 | refs/heads/master | 2020-05-18T00:38:57.267327 | 2019-04-30T01:24:56 | 2019-04-30T01:24:56 | 184,068,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 131 | py | from __future__ import unicode_literals
from django.apps import AppConfig
class DfGoodsConfig(AppConfig):
name = 'df_goods'
| [
"renjw234@126.com"
] | renjw234@126.com |
44b7e6b025a9917ce35e63a322c922264b4455b4 | 5922398212b6e113f416a54d37c2765d7d119bb0 | /python/O(1) Check Power of 2.py | d664954d5d2b872362cab07d682b5469322e34d5 | [] | no_license | CrazyCoder4Carrot/lintcode | e777f73e1fdfe3b8abc9dbfc07d26602bf614151 | 33dcd7f0e2d9bee58840a3370837cb2db82de1eb | refs/heads/master | 2021-01-09T20:38:59.813198 | 2017-01-16T22:34:26 | 2017-01-16T22:34:26 | 60,287,619 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | class Solution:
"""
@param n: An integer
@return: True or false
"""
def checkPowerOf2(self, n):
# write your code here
if n == 0:
return False
return n&(n-1) == 0 | [
"liuzhenbang1988@gmail.com"
] | liuzhenbang1988@gmail.com |
56da055426260d4e0c162b598de7480b3212e963 | 23a7baccb26c45c7c00da896d870ff0518c5fe75 | /ex5.py | 61f60c42b90dc5e2ac0cd85281071869a3427aea | [] | no_license | JMadamba/LPTHW | 01f2fd5877972eb261c89e5b3d0289a9227ec1f3 | 63871ba1318d1ffffe65fdf13b4f2744140238bc | refs/heads/master | 2021-05-09T08:45:22.005050 | 2018-01-29T15:36:05 | 2018-01-29T15:36:05 | 119,401,865 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 547 | py | name = 'Zed A.Shaw'
age = 35
height = 74
weight = 180
eyes= 'Blue'
teeth = 'White'
hair = 'Brown'
convert = height * 2.54
convertWeight = weight *2.20462
print "Let's talk about %s." % name
print "He's %d centimeters tall." % convert
print "He's %d kilograms heavy." % convertWeight
print "Actually that's not too heav... | [
"Jmadamba@tonicdesign.com"
] | Jmadamba@tonicdesign.com |
74c3ac8794131b67abc018da9e9b245ba196e45a | bd241c395589b147b12632821f74171aba313801 | /tanimoto.py | 816352b55a23164b390326b3894d200fda2ce12f | [] | no_license | timakin/dustbox | 133e1babec854905d801650dd29273c26c1dcc1b | de87022c9b64139bf8dd37b111438a9ab27a49de | refs/heads/master | 2021-01-17T04:21:58.961809 | 2015-04-28T12:23:58 | 2015-04-28T12:23:58 | 9,006,622 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Tanimoto係数。 A,Bという2つの集合のアイテムの類似度を示す。
# Cは共通集合を示している。クラスタリングされた集合の類似度を示している。
def tanimoto(a,b):
c=[v for v in a if v in b]
return float(len(c))/(len(a)+len(b)+len(c)) | [
"timaki.st@gmail.com"
] | timaki.st@gmail.com |
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