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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
75011d583f8ed3d79e464fde4a0f8d561402530b | ea709c54bc670dfe29645d4953016b35bcd1ba51 | /python101/small/work_or_sleep_in.py | 98647724be5bc3bdd8a3286decf32538e4f362cf | [] | no_license | aammokt/newProject | 28a4d562738cf678442359d5e163ca192a2d652f | 288c6a3ebce9debc5b681a847aabd039b2571832 | refs/heads/master | 2020-08-04T10:33:23.421375 | 2019-11-10T07:04:56 | 2019-11-10T07:04:56 | 212,107,895 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 108 | py | day = int(input('Day (0-6)? '))
if day == 0 or day == 6:
print("Sleep in")
else:
print("Go to work") | [
"alim.anuar@gmail.com"
] | alim.anuar@gmail.com |
03407dc891590de2c8d38cae0e52aacc673380f7 | 120e6df90ad210b1608296302620e61a1e3d6e7d | /src/run_pyphlawd_sequential.py | 78ed92d77def0beebd91d13c2f351b0e1672b7f6 | [] | no_license | uribe-convers/Fungi_ToL | 83858993b6a77a2a9e6186f4f15ff918eeb53d43 | e664ec46aeebca24ed1a01190673af02fe4bd144 | refs/heads/master | 2021-01-20T11:36:13.624816 | 2018-01-16T16:40:02 | 2018-01-16T16:40:02 | 99,732,285 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,572 | py | #! /usr/bin/env python
""" use this to run pyphlawd, put this in a folder that you want to run the analyses"""
import os,sys
# change the database path accordingly
database= "/data_nvme/PHLAWD_DBS/pln.db"
# change your focal clade in Clade_list
Clade_list = ["Entomophthoromycotina", "Mortierellomycotina", "Ustilag... | [
"uribe.convers@gmail.com"
] | uribe.convers@gmail.com |
bf265d50b8e20e755fa294e2c7d246f1c1e2aa11 | 19b1bd54c1959ea7074e2ef691da8abfe2fd81eb | /Assignment_1/src/question7.2.i.py | 46121e185ab79e009b615b24057f94d08e704d65 | [] | no_license | jeetv/Digital_Image_Processing | aba5f3962e8a705581bfcb01b2a5b8c08ddcf87e | cef0b9449106b8098eaf0c326159a10c1437c0c3 | refs/heads/master | 2022-11-18T20:51:54.824326 | 2020-07-15T06:40:04 | 2020-07-15T06:40:04 | 279,781,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,195 | py | import numpy as np
import cv2
import matplotlib.pyplot as plt
def cumulative_histogram(hist):
cum_hist = np.copy(hist)
for i in range(1, 256):
cum_hist[i] = cum_hist[i-1] + cum_hist[i]
return cum_hist
def histogram(img):
height = img.shape[0]
width = img.shape[1... | [
"noreply@github.com"
] | jeetv.noreply@github.com |
442f06e185a19672e261b62b17153e72bbbe3877 | ae0e6d02edd97a6d6e88b6483d92abca3bf55f63 | /tests/test_sort_layer.py | 967b3b07ade56662a98295ac9e51e4c9d17a1f24 | [] | no_license | thongonary/CMS_Deep_Learning | 7a3ccb4ea341434ae083e6f5e0bf43e7df11d963 | 80e914f935d9cd6ca2f1237bc61fad5519b52906 | refs/heads/master | 2021-04-06T20:16:08.054349 | 2018-03-15T21:15:02 | 2018-03-15T21:15:02 | 125,426,799 | 2 | 0 | null | 2018-03-15T21:13:40 | 2018-03-15T21:13:34 | Jupyter Notebook | UTF-8 | Python | false | false | 1,435 | py | import sys, os
if __package__ is None:
import sys, os
sys.path.append(os.path.realpath("../"))
import unittest
from keras.layers import Input
from keras.engine import Model
from CMS_Deep_Learning.layers.sort_layer import Sort,Perturbed_Sort,Finite_Differences
import numpy as np
def test_works():
a = Inp... | [
"dannyweitekamp@gmail.com"
] | dannyweitekamp@gmail.com |
d0dbd2a5247684b1ca82b498129fb8f825def345 | b9f791c320dd7c84ee388447fb7f46c583a8386f | /Week__6.py | 1ec9332844a599e3562d0e998e329ae5014c44d6 | [] | no_license | smarigowda/SukruthiLearningPython | d39dec0beaed6d0aead32a5bac4fd086a9ef0de5 | 4190f7043cd1a3131963daa559d2d63154937f45 | refs/heads/master | 2020-06-13T23:55:39.599006 | 2017-02-12T18:16:21 | 2017-02-12T18:16:21 | 75,542,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 378 | py | # big number game
import random
highest = 1000
answer = random.randint(1, highest)
print("Please guess a number between 1 and {}: ".format(highest))
guess = 0
while guess != answer:
guess = int(input())
if guess == 0:
break
if guess < answer:
print("Please guess higher.")
elif guess > answer:
print("Please ... | [
"santosharakere@gmail.com"
] | santosharakere@gmail.com |
26805815aba615d6c989373312c4bc72265aa1f1 | 0329677920e29e68778c623b05bf4ca69e528c41 | /Part 8 - Deep Learning/Section 42- SELF ORGANIZING MAPS_/Mega_Case_Study/Mega_Case_Study/som.py | 3fd00008b8d5a3d504da1a882b30b3284fdcc0b8 | [] | no_license | celestialized/Machine-Learning | b2075b83139f66bc31c02c64cfe27dfbf19e4ab6 | df30af31f04d03d9796974daf82373436fb6460e | refs/heads/master | 2021-09-21T16:55:51.432572 | 2018-08-29T20:33:13 | 2018-08-29T20:33:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,040 | py | # Self Organizing Map
#IT CONVERT MANY COLUMN INTO 2-d MAP
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
#http://archive.ics.uci.edu/ml/datasets/statlog+(australian+credit+approval)
#in this problem to detect the approval of credit card applic... | [
"ranasinghiitkgp@gmail.com"
] | ranasinghiitkgp@gmail.com |
ecf8a9a8bf5893ca0a15c7017b893c7461e1bf29 | 1555996141776d77ca76a79ab768fb0f39689b84 | /Create Your First Robot with ROS/my_robot_control/motor_driver.py | 89bee657205764cf339002eb08717d3f924cac8d | [] | no_license | im7RJ/ROSBOTS | d3ba146b4e63ec3fc24e935f372b28d80a57b6bd | 5fd4d29d8d66f92ac4feea621a0afa4be67fe32b | refs/heads/main | 2023-05-07T16:50:17.622818 | 2021-06-03T13:34:21 | 2021-06-03T13:34:21 | 373,515,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,694 | py | #!/usr/bin/env python
import rospy
import RPi.GPIO as GPIO
import time
class MotorDriver(object):
def __init__(self, wheel_distance=0.098, wheel_diameter=0.066, i_BASE_PWM=50, i_MULTIPLIER_STANDARD=0.1, i_MULTIPLIER_PIVOT=1.0, simple_mode = True):
"""
M1 = Right Wheel
M2 = Left Wheel
... | [
"noreply@github.com"
] | im7RJ.noreply@github.com |
eaafd97a3b66ddc8243249cd58a921af8ae38985 | 7a6dcd5197e6dfedc5bdc38586adc0e3fd9d2676 | /Unit3/ps3_hangman.py | fa6a5a610d1c80353f94fe2a646b9712cb34f58e | [] | no_license | HrachAsatryan/PythonCourse | f8145757e20ef36671891656de8cb5fc0f0b371e | 38fe4151e3805d482f3c1042a97742e4ed691dd3 | refs/heads/main | 2023-06-21T10:14:20.858366 | 2021-07-22T10:58:14 | 2021-07-22T10:58:14 | 379,166,722 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,552 | py | # Hangman game
#
# -----------------------------------
# Helper code
# You don't need to understand this helper code,
# but you will have to know how to use the functions
# (so be sure to read the docstrings!)
import random
WORDLIST_FILENAME = "words.txt"
def loadWords():
"""
Returns a list of valid words. ... | [
"intelinair@IntelinAirs-MacBook-Pro.local"
] | intelinair@IntelinAirs-MacBook-Pro.local |
aea16e0264322faacb3cff68da0ac4f50a472a55 | 6f1034b17b49f373a41ecf3a5a8923fb4948992b | /pychron/hardware/kerr/tests/kerr_motor.py | fa203e2f504d4b02343785c91885bc3ab936dcce | [
"Apache-2.0"
] | permissive | NMGRL/pychron | a6ec1854488e74eb5d3ff53eee8537ecf98a6e2f | 8cfc8085393ace2aee6b98d36bfd6fba0bcb41c6 | refs/heads/main | 2023-08-30T07:00:34.121528 | 2023-06-12T17:43:25 | 2023-06-12T17:43:25 | 14,438,041 | 38 | 28 | Apache-2.0 | 2023-08-09T22:47:17 | 2013-11-15T23:46:10 | Python | UTF-8 | Python | false | false | 229 | py | import unittest
class KerrMotorTestCase(unittest.TestCase):
def test_something(self):
self.assertEqual(True, False)
def test_float_to_hexstr(self):
pass
if __name__ == "__main__":
unittest.main()
| [
"jirhiker@gmail.com"
] | jirhiker@gmail.com |
026ea2cb643b8aa5f372081eab11ecea7f645230 | 518e9704fa8af10be824deec4b55e40bb21060e0 | /VOC/anchor/prior_anchors.py | ccd711fa7f0a1714debc534b6abac0d650d2f920 | [] | no_license | yl-jiang/Yolov2-Pytorch1.2 | 5d072d9b6e03cb759591fbc251cba7f946ed3d4e | 4d41f695c099bc0567cbeff60bce8be94e2a8c38 | refs/heads/master | 2022-04-22T04:16:54.477783 | 2020-04-24T14:34:09 | 2020-04-24T14:34:09 | 258,536,965 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,125 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/8/22 下午3:53
# @Author : jyl
# @File : prior_anchors.py
from config import opt
import numpy as np
import matplotlib.pyplot as plt
import random
from utils import alias_sample
from tqdm import tqdm
import os
from bs4 import BeautifulSoup
import pickle
... | [
"yvlinchiang@gmail.com"
] | yvlinchiang@gmail.com |
24e72a47b3f994223ff0c193db2e35e8eaa8b2df | b23e4b73832b96fedc229fbf7fa0a5ee9fead44b | /server/libs/config.py | 300dc317428c1b67c1f0233c8b585e33498ecc55 | [] | no_license | chaeplin/yadashvend | d746e4ea6a79add64149fc5112339fe26a580a25 | 295190dee8319821ec0e2b59940cca8b70f2650c | refs/heads/master | 2021-01-12T15:00:13.103716 | 2016-10-29T15:43:00 | 2016-10-29T15:43:00 | 71,659,413 | 1 | 0 | null | 2016-10-23T17:26:57 | 2016-10-22T18:57:54 | Python | UTF-8 | Python | false | false | 1,629 | py | # seed for generate address
BIP32_TESTNET_SEED = 'DRKPuUb97UQHNUHs5ktawTeAdwMsBaHCsLA1JW8iYpK5orXyiKPba3MyTP4sttpzhWdVKNej2TxkhR3WNrQqWGMg64ood5HaXL5Avi9ad5vaqc8U'
# max keys in r_NEW_ADDR_SET
max_keys_in_r_NEW_ADDR_SET = 100
#key prefix
key_prefix = 'testnet:'
# redis
# key for index of key generation
r_ADDR_GEN_IN... | [
"chaeplin@gmail.com"
] | chaeplin@gmail.com |
4816f423ce7470e056af3a0ef6115af9bd76c32c | ad9bd58a3ec8fa08dfcc994d4101ee815a9f5bc0 | /02_algorithm/programmers/Level4/도둑질.py | 7d22e81f4529e1e3a2c44f3d9e41eff8f758d60b | [] | no_license | wally-wally/TIL | 93fc1d0e3bc7d030341ed54155294c68c48b4c7d | 936783bc86f563646c0398c24e2fcaa707f0ed23 | refs/heads/master | 2023-04-28T08:59:48.235747 | 2023-04-12T12:06:52 | 2023-04-12T12:06:52 | 195,918,111 | 40 | 7 | null | 2020-09-29T16:20:46 | 2019-07-09T02:31:02 | Python | UTF-8 | Python | false | false | 596 | py | def solution(money):
money_length = len(money)
DP = [0 for _ in range(money_length - 1)] # 첫 번째 집부터 턴 경우
DP2 = [0 for _ in range(money_length)] # 두 번째 집부터 턴 경우
# 초기화 과정
DP[0] = money[0]
DP[1] = money[0]
DP2[0] = 0
DP2[1] = money[1]
for i in range(2, money_length - 1):
DP[i]... | [
"wallys0213@gmail.com"
] | wallys0213@gmail.com |
49323ed787e5f0b7886f1940248e8fa61f45784a | 61bd955e7d83f7901c8d24fd65d3e59fbb960ff6 | /Problem2.py | 135e2316b11026486dbcfbfab157a087ce676363 | [] | no_license | NinaOwl/ADM_HW1 | dba0abf9f483ba1ad60f196ee6c9dea89525cc2e | 08edae46bb87471af44814af785315f52a5005ff | refs/heads/main | 2023-08-21T08:19:04.097651 | 2021-10-10T13:26:54 | 2021-10-10T13:26:54 | 415,559,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,995 | py | # birthday-cake-candles https://www.hackerrank.com/challenges/birthday-cake-candles/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'birthdayCakeCandles' function below.
#
# The function is expected to return an INTEGER.
# The function accepts INTEGER_ARRAY candles as... | [
"noreply@github.com"
] | NinaOwl.noreply@github.com |
e5d99ee86fa8bccd4aad485ec8314e1749a15a00 | 27790d89433cf1cfb8a0ad636ba76c24ec66b7ff | /naver_webtoon_crawling.py | a6a5c8a3ffb16bb10cf7a42b8520fb09cbd29067 | [] | no_license | capston123/back_end | 5625037f0b3bf6f3ae0cb5a75ff19ce781090784 | 9687f225495364d226aee34ac044f2f4a280881f | refs/heads/master | 2023-04-09T19:03:58.639126 | 2021-04-12T18:02:44 | 2021-04-12T18:02:44 | 311,255,740 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,280 | py | """
1. 클래스로 저장?
2. 23~24시 기준으로 업데이트 웹툰만 크롤링?
"""
import django
from datetime import date
from selenium import webdriver
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "contents.settings")
django.setup()
from webtoons.models import Naver
save_data = []
today_date = date.today()
# chrome 창 크기 조절
options = w... | [
"sunsu2737@gmail.com"
] | sunsu2737@gmail.com |
6d5a54b10e007cacf22f064a0fcd21ac7e0bfe12 | ba2b72c485ca6f8e62e7ca7c0286ac41641f85a9 | /openrec/utils/samplers/pointwise_sampler.py | baef51f6af781bc7a0eeb752add3d41f5e613736 | [
"Apache-2.0"
] | permissive | christinatsan/openrec | 8a2a9f411a51f853f88fe79a25304ea53c79bf81 | f4eb2fda42818705053b775facfa34921dcd5762 | refs/heads/master | 2021-05-16T14:39:55.245752 | 2018-01-22T16:43:26 | 2018-01-22T16:43:26 | 118,484,419 | 0 | 0 | null | 2018-01-22T16:36:28 | 2018-01-22T16:36:28 | null | UTF-8 | Python | false | false | 2,411 | py | import numpy as np
import random
from multiprocessing import Process
from openrec.utils.samplers import Sampler
class _PointwiseSampler(Process):
def __init__(self, dataset, batch_size, pos_ratio, q):
self._dataset = dataset
self._batch_size = batch_size
self._num_pos = int(batch_... | [
"ylongqi@gmail.com"
] | ylongqi@gmail.com |
c702c82bd6cb53a5ba57c999529361d2ef38e4b0 | 0db05f7b843e8450bafd5ae23f8f70f9a9a8c151 | /Src/StdLib/Lib/site-packages/pythonwin/pywin/framework/bitmap.py | 6d6bcd5ecbe4a4a1e59b87f1a7d7b8583e8d26f7 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"BSD-3-Clause",
"Python-2.0",
"LGPL-2.0-only"
] | permissive | IronLanguages/ironpython2 | 9c7f85bd8e6bca300e16f8c92f6384cecb979a6a | d00111890ce41b9791cb5bc55aedd071240252c4 | refs/heads/master | 2023-01-21T21:17:59.439654 | 2023-01-13T01:52:15 | 2023-01-13T01:52:15 | 91,620,472 | 1,171 | 288 | Apache-2.0 | 2023-01-13T01:52:16 | 2017-05-17T21:11:51 | Python | UTF-8 | Python | false | false | 4,646 | py | import win32ui
import win32con
import win32api
import string
import os
import app
import sys
from pywin.mfc import docview, window
bStretch = 1
class BitmapDocument(docview.Document):
"A bitmap document. Holds the bitmap data itself."
def __init__(self, template):
docview.Document.__init__(self, template)
sel... | [
"pawel.jasinski@gmail.com"
] | pawel.jasinski@gmail.com |
4777c5b5c8a5917975b15e51607d87d7d16d0173 | c048d2cb39d391cdbf530523eb2832d44dce708a | /Plugins/digital_campus/campus_log_disclosure.py | e5c5ab2044e188213d0310aaedfbe5ef8cc9b383 | [] | no_license | z3r023/FrameScan-GUI | 434655e81a354365ff2cce9c2d714f255d694111 | e207108fc4e4878d6c66cc72779caed29b788057 | refs/heads/master | 2020-08-08T12:14:58.074632 | 2019-10-06T10:38:42 | 2019-10-06T10:38:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,394 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: Digital-Campus数字校园平台LOG文件泄露
referer: http://www.wooyun.org/bugs/wooyun-2014-071575
author: Lucifer
description: 关键词：intitle:数字校园平台--Digital Campus2.0 Platform。log.txt日志文件泄露，可获取数据库账号等敏感信息。
'''
import re
import sys
import requests
import warnings
class campus_log_di... | [
"1919010193@qq.com"
] | 1919010193@qq.com |
f5fc4d106bf0a2c637b87d9bf0ec63bedd3b338d | d727fdbbdd5dd8914811cba33c09d10dd393299e | /TrajectoryPlanning/pathLatticeXY3.py | e2400d06d121fb0415a5a9adb4919369231e6585 | [
"MIT"
] | permissive | gaohongfein/PTPSim | 60030f5c926895c856b6a4f4f48b542a09e84b3e | 63bc0b7e81846fdd02dc8c105f356595cb9f3d91 | refs/heads/master | 2022-01-20T16:35:37.240997 | 2019-08-17T14:45:52 | 2019-08-17T14:45:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,906 | py | """
MIT License
Copyright (c) 2019 ming
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
to use, copy, modify, merge, publish, distribu... | [
"ming.ustb@outlook.com"
] | ming.ustb@outlook.com |
9fdf1744503ec788d735265bc226b7ba1e8701a8 | ae7eea42299728df34c5652c52f1b341f449fcd4 | /customerevents/tracker.py | 96d4a4db925461f06a69eb395529bcf2a03d6c12 | [] | no_license | zbyte64/django-customerevents | 27ef98c4785c021144cf9e343e52c0bd242884f9 | d16e8f24b8a42cf332e9348b250ce4e9a11b57da | refs/heads/master | 2020-05-30T04:14:30.240862 | 2014-12-10T19:35:41 | 2014-12-10T19:35:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,711 | py | from threading import local
from .backends import get_backends
from .tasks import send_tracking_to_backend, send_tracking_to_backends
SESSION = local()
def get_tracker(request=None):
if hasattr(SESSION, 'tracker'):
if request:
if SESSION.tracker.request:
assert SESSION.track... | [
"zbyte64@gmail.com"
] | zbyte64@gmail.com |
fcfa88a0ada1b0e76fa893918074a7025147c19c | bb29e732c2c5394dc80bee2e5f20958034ca2a91 | /setup.py | 0397a4914e5698920e0aa21759cf40e7bb8eaf26 | [] | no_license | chengjia63/srh_cnn | e9814520f167935817c6838390c06d121ab52b2b | 89227b2d68d60c3938069d2b36514094da123f86 | refs/heads/master | 2020-12-12T00:09:19.221037 | 2020-02-18T06:54:32 | 2020-02-18T06:54:32 | 233,991,554 | 0 | 0 | null | 2020-01-15T03:37:12 | 2020-01-15T03:37:11 | null | UTF-8 | Python | false | false | 325 | py | from setuptools import setup, find_packages
setup(
name='srh-cnn',
install_requires=[
'setuptools>=41.0.0',
'numpy==1.18.1',
'matplotlib==3.1.2',
'scikit-learn==0.22.1',
'tensorflow-gpu',
'keras==2.3.1',
'opencv-python==4.1.2.30',
'Pillow==7'
... | [
"chengjia@umich.edu"
] | chengjia@umich.edu |
2d7149372e0ce6b3f231d6b52c452197548e012f | e0cc8f10d417fdf7870981808d775d41bb8cd2da | /blog/models.py | f848bccc4e16c3430b25e9b1b10ada0c85e0d13c | [] | no_license | aman1100/iCoder | 70f86eccc2783985c53b63c3517317ab7cfea355 | a7f53b4ade3ee44dd75434214e8f16e8cfea20ef | refs/heads/master | 2022-12-31T12:18:38.192297 | 2020-10-23T08:10:19 | 2020-10-23T08:10:19 | 297,904,421 | 1 | 2 | null | 2020-09-27T08:35:59 | 2020-09-23T08:31:14 | Python | UTF-8 | Python | false | false | 400 | py | from django.db import models
# Create your models here.
class Post(models.Model):
sno = models.AutoField(primary_key=True)
title = models.CharField(max_length=300)
content = models.TextField()
author = models.CharField(max_length=50)
slug = models.CharField(max_length=150)
timeStamp = models.D... | [
"aman.chandna2000@gmail.com"
] | aman.chandna2000@gmail.com |
9536ad374c3bb724a992c0d37393e5ae7408b78c | fc07f14697ca7872b7e7d4f10af572d823de18d1 | /trainer/asr/meta_trainer.py | 6bf2e261aa15b6f7ca0b11ed376057b7ec643dc8 | [
"MIT"
] | permissive | LJQCN101/meta-transfer-learning | 6955156fc484bfd5178c7e4968216cd7a8a51fec | 1ed18e793c31b79a224a5334ed5a5b8a8ac3e71a | refs/heads/master | 2022-11-23T12:22:32.677588 | 2020-07-30T16:39:54 | 2020-07-30T16:39:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,471 | py | import time
import numpy as np
import torch
import logging
import sys
import threading
import time
from copy import deepcopy
from tqdm import tqdm
# from utils import constant
from collections import deque
from utils.functions import save_meta_model, save_discriminator, post_process
from utils.optimizer i... | [
"gentaindrawinata@gmail.com"
] | gentaindrawinata@gmail.com |
afe3734274673293bc738c0825825646c0a6fddf | 14ff5ca733ce92c14dd347e32c7ad262026c48cf | /typeshed/rdflib/tools/graphisomorphism.pyi | 72650c110cb60606c52f67b9186a635184d78dd3 | [
"Apache-2.0"
] | permissive | common-workflow-language/cwlprov-py | 6040bd1ea18fb58909bba9874f65e4edcc4ecd92 | 9b719c687484d3f888eb5f807ec3270e9081078a | refs/heads/main | 2023-08-17T06:03:39.274209 | 2022-07-19T18:09:15 | 2022-07-19T18:21:13 | 148,144,870 | 1 | 2 | Apache-2.0 | 2023-08-02T18:35:35 | 2018-09-10T11:27:31 | Python | UTF-8 | Python | false | false | 590 | pyi | from collections.abc import Generator
from rdflib import BNode as BNode, Graph as Graph
from typing import Any
class IsomorphicTestableGraph(Graph):
hash: Any
def __init__(self, **kargs) -> None: ...
def internal_hash(self): ...
def hashtriples(self) -> Generator[Any, None, None]: ...
def vhash(sel... | [
"1330696+mr-c@users.noreply.github.com"
] | 1330696+mr-c@users.noreply.github.com |
4421f9722d3ddb7c18d3154c684901a423c77975 | 4cdc9ba739f90f6ac4bcd6f916ba194ada77d68c | /剑指offer/第四遍/59-2.队列的最大值.py | eab66a3f27e05f26ce4c57438bfeb7bdae84ad74 | [] | no_license | leilalu/algorithm | bee68690daf836cc5807c3112c2c9e6f63bc0a76 | 746d77e9bfbcb3877fefae9a915004b3bfbcc612 | refs/heads/master | 2020-09-30T15:56:28.224945 | 2020-05-30T03:28:39 | 2020-05-30T03:28:39 | 227,313,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,200 | py | """
请定义一个队列并实现函数 max_value 得到队列里的最大值，要求函数max_value、push_back 和 pop_front 的均摊时间复杂度都是O(1)。
若队列为空，pop_front 和 max_value 需要返回 -1
示例 1：
输入:
["MaxQueue","push_back","push_back","max_value","pop_front","max_value"]
[[],[1],[2],[],[],[]]
输出: [null,null,null,2,1,2]
示例 2：
输入:
["MaxQueue","pop_front","max_value"]
[[],[],[]]
输... | [
"244492644@qq.com"
] | 244492644@qq.com |
c7d7be82b06fe11ec65fb84ae4c2af426f64c544 | bb1aec23bfc9accfc247382702a3d5bf297421d0 | /djresthw/settings.py | 3bd64b1d64a7acf4b99fbc75083a36237112be68 | [] | no_license | KenJi544/djrest | d06ada70739c3aa777999ebdcf12cc6e559e3ecc | 6c3051357619ce844bd7d00811364d8ee45ebded | refs/heads/master | 2020-06-05T20:35:50.715007 | 2019-06-18T12:54:36 | 2019-06-18T12:54:36 | 192,539,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,238 | py | """
Django settings for djresthw project.
Generated by 'django-admin startproject' using Django 2.2.1.
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
... | [
"dan@smartsoftdev.eu"
] | dan@smartsoftdev.eu |
ab88d984c56fab8df7b123df290ae712ef6252cf | 76e91717f7b2c20061de75f27c445736869b3051 | /BasicCrickulator.py | 74b0f39da27a49814e99642bd6c470ebc8265805 | [] | no_license | dalzuga/Crickulator | 67047fb866038187c0107f3d2e7fbb761d2ed647 | e0a53f77a55e5feb0b9671140bf09da369b3c0ef | refs/heads/master | 2021-01-18T09:39:00.351126 | 2016-09-12T16:46:47 | 2016-09-12T16:46:47 | 68,026,214 | 0 | 0 | null | 2016-09-12T16:21:19 | 2016-09-12T16:21:19 | null | UTF-8 | Python | false | false | 1,029 | py | #!/bin/python
print"This program converts temperatures between Fahrenheit, Celsius, Kelvin, and Bug chirps."
temp, unit = raw_input("Please enter the temperature and the unit (F, C, K, or B): ").split()
temp = int(temp)
print temp
print unit
if unit == "F":
celsius = (temp - 32) / 1.8
kelvin = (temp +... | [
"nwilliammccann@gmail.com"
] | nwilliammccann@gmail.com |
3f84178579df9e1381f23307dfbcdebae314e114 | 503413c4e4b7f2b87797dcddcf16d2c3f2282016 | /A4/test_breakdown_amount.py | 008cf59cf8ed072b005e658c2bd718adbdf77281 | [] | no_license | marlonrenzo/A01054879_1510_assignments | c1475a3fd263a8a6a1234ffd0818a75706e6194f | f4a3f9af21f7170ba70c901bc22ff6d95a6e535f | refs/heads/master | 2022-03-23T22:07:29.067075 | 2019-12-08T19:01:32 | 2019-12-08T19:01:32 | 209,661,046 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,464 | py | from unittest import TestCase
from A4.Question_5 import breakdown_amount
class TestBreakdownAmount(TestCase):
def test_breakdown_amount_one_hundred_one(self):
test = {100: 0, 50: 0, 20: 0, 10: 0, 5: 0, 2: 0, 1: 0, 0.25: 0, 0.10: 0, 0.05: 0, 0.01: 0}
test_amount = 101.0
actual = breakdown_a... | [
"marlonrfajardo@gmail.com"
] | marlonrfajardo@gmail.com |
7d2dd5d6386b11b1f3d8df9469fa3d749015aee6 | 4830c991616800e7e4d1e9da87f822655b996859 | /Ch7E4_TriviaV1.3.0/high_score.py | c92ccc150bd0b8b9904ca95162f2fb8fded3c831 | [] | no_license | malmhaug/Py_AbsBegin | daf72786e11118a5586a169ea66203f615fbaeed | c1e12491a4998c35e86e46010adf9a14e735d667 | refs/heads/master | 2021-01-17T13:20:04.143941 | 2016-08-01T18:24:29 | 2016-08-01T18:24:29 | 48,393,823 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,742 | py | import sys
def open_file(file_name, mode):
"""Open a file."""
try:
the_file = open(file_name, mode)
except IOError as e:
print("Unable to open the file", file_name, "Ending program.\n", e)
input("\n\nPress the enter key to exit.")
sys.exit()
else:
retu... | [
"malmhaug@gmail.com"
] | malmhaug@gmail.com |
befd93169d42e555fdce72b8a3b9244d111ec2e2 | 524885e37b29d9bb6fe86017d41691cf8e74050d | /kungfu_blog/settings.py | 55063af89ea5601bb82fd6489455a4d818b5fdee | [] | no_license | manas-anarov/kungfu_blog | 1cc3cd2f6e0a3afd98e5089c198677eea08b71b7 | 6fa88805ed3921406f4d34cd962eaa3e3250a1d7 | refs/heads/master | 2020-07-11T12:06:14.720355 | 2019-08-27T11:50:22 | 2019-08-27T11:50:22 | 204,534,701 | 0 | 4 | null | null | null | null | UTF-8 | Python | false | false | 3,329 | py | """
Django settings for kungfu_blog project.
Generated by 'django-admin startproject' using Django 2.0.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import o... | [
"microsoft.kg@mail.ru"
] | microsoft.kg@mail.ru |
a593bb9c456bb9b578077de9086795fec3de27e3 | 0d38affd6dd98a7e3d5400fb090f15f2e5b84328 | /web_app/views.py | 00684a672016809e5af4438d2f505ce0fca3276d | [] | no_license | sangireddyabhilash/FASTSIM | 400e47386b17f4ea9c077038cd1ee488319f5500 | 286a5b4464851297667296f9cc355195765d2423 | refs/heads/master | 2020-08-30T04:23:23.133878 | 2019-10-29T10:55:13 | 2019-10-29T10:55:13 | 218,261,965 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,690 | py | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.parsers import MultiPartParser
from rest_framework.response import Response
from rest_framework.exceptions import APIException
from itertools import product
from .... | [
"abhilash.sangireddy@sprinklr.com"
] | abhilash.sangireddy@sprinklr.com |
fc0d048ffd7503c409ac2f5cf15aa5e8d92a10f5 | 38ad0af18203d8c21458e5f83434cc338a477bd3 | /v1/maybe.py | bc164db0efef75b88068be9aeb49032f5081f79a | [] | no_license | OaklandPeters/learning_monads | 111c39f6285de9ada7c08960b88f1e3a89338637 | 9af7ffad2e2ca5f3275f47cff1052fe83e093598 | refs/heads/master | 2016-08-12T15:42:35.762982 | 2016-05-09T19:05:42 | 2016-05-09T19:05:42 | 49,683,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,467 | py | #!/usr/bin/env python3
"""
Ok, I'm just arbitarily defining this 'Maybe' as Maybe error.
Idea for treatment:
Have 'lift' just be a wrap (even when used as a decorator).
So, that lift(function) --> an object whose __call__ triggers f_apply
"""
from typing import Callable, TypeVar, Iterator, Any
from monad i... | [
"oakland.peters@gmail.com"
] | oakland.peters@gmail.com |
1b29971349c8bd365a97cad27882735328b1de32 | b8aa670d8328ac47d4cd9849a8c1624731f46674 | /webapp/views/index.py | d61f3e5381f42a61b5f0eec5874c363a1f4df5f6 | [] | no_license | danlliu/webapp | 54744c2304652a3dd08ed76dfa16243a08fec3de | 18278131e3e8fe208640ff5751e8c53a7b82689e | refs/heads/main | 2023-09-03T05:19:22.548631 | 2021-10-28T03:54:48 | 2021-10-28T03:54:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 624 | py | import flask
from flask import request, session
import webapp
@webapp.app.route('/')
def webapp_index():
if 'username' in session:
return flask.render_template('index.html', **{'logname': session['username']})
return flask.render_template('index-nologin.html')
@webapp.app.route('/users/')
@webapp.a... | [
"danlliu@umich.edu"
] | danlliu@umich.edu |
14248fcb0ff7af8bc89af5140584b7be4da9c118 | fd547ec5dd01039b5a0b89c1e3c14e39a7532f37 | /cms/wizards/views.py | 6e55e3d0d7e459337cf0884c6f38f084279bbe8b | [
"BSD-3-Clause"
] | permissive | leoiceo/django-cms | 30e4a7a4b0b8555613368b28ba4dfb8eee4dac8b | 2709fa6ffb5f4fadba91da48a2557438c0edc576 | refs/heads/develop | 2021-01-18T04:41:51.724354 | 2015-10-22T17:16:23 | 2015-10-22T17:16:23 | 44,788,187 | 0 | 1 | null | 2015-10-23T03:18:39 | 2015-10-23T03:18:39 | null | UTF-8 | Python | false | false | 5,416 | py | # -*- coding: utf-8 -*-
import os
from django.forms import Form
from django.conf import settings
from django.core.files.storage import FileSystemStorage
from django.db import transaction
from django.template.response import SimpleTemplateResponse
from django.utils.translation import get_language_from_request
try:
... | [
"mkoistinen@gmail.com"
] | mkoistinen@gmail.com |
c9a133dd357d3b31b1ef805daf0f051cdb6e004d | f25522aef57cbe5e3d6970ed2d9d1f0d8e1901d0 | /FYP/Code/sample.py | dc125c6572c128990961beac3d3b326b0fdcc0ed | [] | no_license | txs640/FinalYearProject | 75f615a53fdb71043e2dfad0deca3434415d877a | b6ae7dad29e19a28138b2c4f6d185dc1fb25a23a | refs/heads/master | 2020-04-08T00:04:51.173940 | 2019-01-18T19:04:38 | 2019-01-18T19:04:38 | 158,837,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29 | py | function setup(){
}
| [
"txs640@student.bham.ac.uk"
] | txs640@student.bham.ac.uk |
2f7549c4baa76bb0dbc1bf9eacce548d49027078 | ae9ffbe5924eedbac57af535d0f20819b58f3bcb | /examples/myblog/models/models.py | da68560df66b05b146de3208eeed115feb504aef | [] | no_license | natsuooo/fujitsu | d981946c66bca5be1e6cac89393f61cab6355cf2 | 866f0218776642842a769afb0ccafe9c7b5e32a2 | refs/heads/master | 2023-03-17T14:55:17.511679 | 2021-02-22T01:27:10 | 2021-02-22T01:27:10 | 338,940,854 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 966 | py | from sqlalchemy import Column, Integer, String, Text, DateTime
from datetime import datetime
from models.database import Base
class BlogContent(Base):
__tablename__ = "blogcontent"
id = Column(Integer,primary_key=True)
title = Column(String(128),unique=True)
body = Column(Text)
date = Column(DateTi... | [
"n17975775@gmail.com"
] | n17975775@gmail.com |
54c71ab19988dc61b1d5006d7e3fb63925a63436 | 2ff2d654688cf8687c0806135057c747763f9cbc | /.github/workflows/dark.py | ac99b00dce47474159cbc869011802a04be1b760 | [] | no_license | darshankhakhodiya143/dark1 | 61f27a14c2afe9cf3e22c39339ffcdf11a408796 | 924859631a950ca86ae786a5f5c3c4954b6a5117 | refs/heads/master | 2022-10-11T15:44:50.662945 | 2020-06-12T09:29:34 | 2020-06-12T09:29:34 | 271,526,990 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,817 | py | #!/usr/bin/python2
#coding=utf-8
import os,sys,time,datetime,random,hashlib,re,threading,json,urllib,cookielib,requests,mechanize
from multiprocessing.pool import ThreadPool
from requests.exceptions import ConnectionError
from mechanize import Browser
reload(sys)
sys.setdefaultencoding('utf8')
br = mechanize.Browse... | [
"noreply@github.com"
] | darshankhakhodiya143.noreply@github.com |
57c4abb61863b4e306c8d7e7968366cef774dbdd | 9b2b3ce5a94e5559c49991f4b3e7112a3ea39ebc | /schoolcms/wsgi.py | a42cdd7ea70c3f0be8f22a615842e8fe5ea81098 | [] | no_license | suryakumar1024/schoolcms | 7394d7c1587c5559b22906db96ff55f7969391a2 | b377ff5b80b4d6b6641d3ccfb040459712e2facf | refs/heads/master | 2021-05-03T14:53:16.850483 | 2019-03-04T11:28:15 | 2019-03-04T11:28:15 | 69,850,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | """
WSGI config for schoolcms 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/1.8/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SET... | [
"suryak22@outlook.com"
] | suryak22@outlook.com |
c2b8a7ff84cbf75a213e37f6530789404d4e359d | 7905c69a89842486eaebe97911b020d49567e3c1 | /test/test_idecanarias_dockwidget.py | a929e5f6b22118268884e842d41d16c33c9476f4 | [] | no_license | fherdom/IDECanarias3 | 662e0eb0f0850e7d2c670e41c1c5caa864425bc3 | 7f3e5b6a8a61d343f428fa9f054a5cf03437bdef | refs/heads/master | 2021-04-26T22:13:32.061017 | 2020-02-06T13:59:07 | 2020-02-06T13:59:07 | 124,045,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,134 | py | # coding=utf-8
"""DockWidget test.
.. note:: This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
"""
__author__ = ... | [
"felix@Felix.grafcan.tfe"
] | felix@Felix.grafcan.tfe |
584dc20b3ad651e22fc34eba3c0edc1f48eef89e | e6f3c3d67183497c044b6ae2cfc389a56d65a9ff | /extra/pygame/8-python-pygame-exercise-files/Game/Scenes/HighscoreScene.py | 1a845dd4bb4b5e7d70ace251b3bc8e5089f17d0f | [] | no_license | univdig/python-training | e9e2da35c77a49af4c0bf9153b70029d5a7ca31b | 72e00806ab3c05f64a97c1eb6fc42026bbf33ebe | refs/heads/master | 2021-01-16T22:17:00.621488 | 2016-03-10T21:03:34 | 2016-03-10T21:03:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,219 | py | import pygame
from Game.Scenes.Scene import Scene
from Game import Highscore
from Game.Shared import *
class HighscoreScene(Scene):
def __init__(self, game):
super(HighscoreScene, self).__init__(game)
self.__highscoreSprite = pygame.image.load(GameConstants.SPRITE_HIGHSCORE)
def rend... | [
"gabriel.briones.sayeg@intel.com"
] | gabriel.briones.sayeg@intel.com |
e7b57f0e9b8501259408dbc1c7b7851fa4e565a3 | 6013064c1220fea2d1e40faa9a17e5df10640a0b | /scrapers/lider/simple/extractors.py | 6b94a296fc8b7376faf1de45101fd399859bb817 | [] | no_license | 4chirinos/scraper | e5ece303378e35bfa86f831ebd48e6d1b04eb320 | a7eb3988a28bf8d91ce74a51e50956b0b5ce3e34 | refs/heads/master | 2020-05-20T19:33:57.389107 | 2020-04-07T16:07:14 | 2020-04-07T16:07:14 | 185,725,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 678 | py | from .models import ProductInformation
def extract_products(data):
return data['hits']
def extract_product_information(product):
if is_product_active(product):
name = product['name']
sku = product['sku']
measure = product['uom']
price = get_price(product)
return ProductInformation(name, sku, p... | [
"Argenis_Chirinos@gap.com"
] | Argenis_Chirinos@gap.com |
d32d2d0ba843d841278be8b3f5679efdb92e44f7 | 3961f9f14a2e3ae9806176290a89a1c679612373 | /docs/report/fa20-523-349/project/RankNet/indycar/simulator.py | e1cb108341de6cbf64fdcefd2585934d1d0490fc | [
"Apache-2.0"
] | permissive | mikahla1/cybertraining-dsc.github.io | c97026096dd36d3fa129c8068b9c1b35ae1617a3 | 168cadb2f755cb6ad4907e5656bd879d57e01e43 | refs/heads/main | 2023-06-10T18:11:53.925182 | 2021-06-30T18:41:43 | 2021-06-30T18:41:43 | 382,053,310 | 0 | 0 | Apache-2.0 | 2021-07-01T14:05:43 | 2021-07-01T14:05:42 | null | UTF-8 | Python | false | false | 1,765 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
IndyCar Simulator
laptime = ForcastedTime + FuelAdj + Random
pitstop :
pit window, 10 laps
in lap penalty
pit time
out lap penalty
"""
import sys,os,re
import datetime
import random
import numpy as np
import logging
from optparse import OptionParser
... | [
"laszewski@gmail.com"
] | laszewski@gmail.com |
f7cc021e0089997b48a7c793ecc398ccb729e89d | a7ec33c7defd493f2bb6e7dbbbb338ce47fbfd8c | /tree_and_tree_algorithms/minimum_binary_heap.py | 635daec29c0bdf0a60c9dd94268a380ae1af44c8 | [
"MIT"
] | permissive | arvinsim/data-structures-and-algorithms-implementation | 85871647c87e0d0dad3910ebff28d73321708774 | 5f15d48243e08bf20099a0c7e807278ed24ce269 | refs/heads/master | 2021-01-23T06:49:51.753007 | 2017-03-30T01:27:26 | 2017-03-30T01:27:26 | 86,403,339 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,164 | py | class BinaryHeap:
"""
BinaryHeap() creates a new, empty, binary heap.
This is the minimum heap version
"""
def __init__(self):
self.heapList = []
self.currentSize = 0
def get_left_child_index(self, parent_index):
return (parent_index * 2) + 1
def get_right_child_ind... | [
"developarvin@gmail.com"
] | developarvin@gmail.com |
e275b3cff26f83c7f3121b0cd98bec47ae460836 | aa508e822a84fde8ee8ce2a6342a2e5da946cb43 | /src/view/finder/lookup.py | 6abad178573092a73646919897cad1189abe8ec4 | [
"Apache-2.0"
] | permissive | gustavosaquetta/FrameworkSSQt-Vocatus | a4ea093f05aa4d503ca86603312198aa869675ec | 485dc401e05859f68fe198aa2106675839585a13 | refs/heads/master | 2020-04-14T19:01:07.349185 | 2019-01-04T01:31:23 | 2019-01-04T01:31:23 | 164,041,565 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 946 | py | import platform, sys, os
sys.path.append(os.getcwd())
from PyQt5 import uic
from PyQt5.QtWidgets import *
from PyQt5 import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from sources.dialog.finddialog import DialogFindCliente
def lookup_cliente(parent):
LC = LookupCliente(parent)
LC.exec_()
class Look... | [
"gustavosaquetta@gmail.com"
] | gustavosaquetta@gmail.com |
4848f0665aac256b274f1b523e25452b01fe47cd | 747e83c2624fd9bcd8a44b293c54d10672965fcd | /venv/bin/f2py | 77d06710d00d5aae0389fff94fbd588f27919504 | [] | no_license | al11588/MLTut | 430b2b40aeddf616b3bc860a7b65189c1339d2f4 | e1b320178b33b6192f7542f305b544047062f1cf | refs/heads/master | 2016-09-14T08:21:13.815887 | 2016-05-03T16:21:02 | 2016-05-03T16:21:02 | 57,983,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 790 | #!/Users/alvinlawson/Desktop/MLTut/venv/bin/python
# See http://cens.ioc.ee/projects/f2py2e/
from __future__ import division, print_function
import os
import sys
for mode in ["g3-numpy", "2e-numeric", "2e-numarray", "2e-numpy"]:
try:
i = sys.argv.index("--" + mode)
del sys.argv[i]
break
... | [
"al11588@gmail.com"
] | al11588@gmail.com | |
f6a8c9e639d06784cd89ac6597e1506e0d2a561a | 869f3cc7c4b5c0c0b138c76cf457ebc5f7a35525 | /tests/v1/test_redflag_view.py | 40535fe7e06bda81f7f7c7400950171c925cc5fc | [
"MIT"
] | permissive | Curti-s/ireporter-api | dc3c1dea0373243c0035e8d5200c0a33bc106ab5 | 57b225508f58fd33c848bc480a6dd5b7a5ea5790 | refs/heads/develop | 2022-12-10T11:24:10.653374 | 2018-12-08T15:42:01 | 2018-12-08T15:42:01 | 158,517,000 | 2 | 0 | null | 2022-12-08T01:27:49 | 2018-11-21T08:41:03 | Python | UTF-8 | Python | false | false | 2,609 | py | import unittest
import datetime
import uuid
from flask import request, json
from rapidjson import dump, dumps, loads, load, DM_ISO8601, UM_CANONICAL
from app import create_app
from app.v1.models.red_flag_model import RedFlagModel
class TestRedFlagView(unittest.TestCase):
"""Test RedFlagView api"""
def setUp... | [
"matthewscurtis81@gmail.com"
] | matthewscurtis81@gmail.com |
48e7fc8b558dd07f858cd8b423266154dce93c74 | 12ed734433de51f1cf7b9d8900f4b831e996a80f | /script/execute.py | e449dd5d841f86445d703f61803d960627f903e4 | [] | no_license | TimoBergerbusch/DeepLearningFuerAutonomesFahren | 7c884d52149ffab9690d3a5d575453ef6d437181 | 04c2161b8833964ee00ad50fa751b92c4dc58ca2 | refs/heads/master | 2020-03-13T14:47:00.745716 | 2018-07-03T18:18:21 | 2018-07-03T18:18:21 | 131,165,253 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,740 | py | import mxnet as mx
path='http://data.mxnet.io/models/imagenet/'
[mx.test_utils.download(path+'resnet/50-layers/resnet-50-0000.params'),
mx.test_utils.download(path+'resnet/50-layers/resnet-50-symbol.json'),
mx.test_utils.download(path+'synset.txt')]
ctx = mx.cpu()
sym, arg_params, aux_params = mx.model.load_checkpo... | [
"timo-bergerbusch@web.de"
] | timo-bergerbusch@web.de |
d77213cb938364654b4537ff2566cb0d30598b49 | 12bbad5d5f81f0c9b11fc9db3dee69b901f44469 | /api/migrations/0006_auto_20201022_0439.py | 9184a6a2dc892b48f822049a0a024cb18eda13e1 | [] | no_license | youflox/news | d5e0432e57093d6f4c49015d361ffe01cbd1c48e | e0e829727ac046f36fdeaf9335002c1c2c83684d | refs/heads/master | 2023-01-08T21:07:11.295421 | 2020-11-06T07:47:57 | 2020-11-06T07:47:57 | 309,968,222 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 383 | py | # Generated by Django 3.1.2 on 2020-10-21 23:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0005_article_image'),
]
operations = [
migrations.AlterField(
model_name='article',
name='image',
... | [
"youflox@gmail.com"
] | youflox@gmail.com |
8fca3250922d478ef9165789a3684f85de825780 | 56419dc6dc955a0c87fe13d95f318b7819217317 | /d3rlpy/algos/torch/cql_impl.py | 6dadeb6912841b35aa1de0c3bec784c1b4f66a48 | [
"MIT"
] | permissive | Mobius1D/d3rlpy | 85f67f8380dd11836b61dceadc550fa8083341cc | f279245e3c8dcd89bd8c8abafcfdf1dff50b7fce | refs/heads/master | 2023-06-19T11:36:06.518270 | 2021-07-09T20:53:40 | 2021-07-09T20:53:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,912 | py | import math
from typing import Optional, Sequence
import numpy as np
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from ...gpu import Device
from ...models.builders import create_parameter
from ...models.encoders import EncoderFactory
from ...models.optimizers import OptimizerFactory
... | [
"takuma.seno@gmail.com"
] | takuma.seno@gmail.com |
49c911a5de0008425794db6a96232f235ca75f7d | 9fdb325cf3fd1c469e5cad853ad8bf1a604b44c7 | /netlabproject/wsgi.py | 5aab4c221593ea4bcdd402cc3fe39b9019c113bd | [] | no_license | abkristanto/photatoes-django | 3290e5a4c246eab19187fcc51899e0bee727beed | b40a20c37e4141a8fd5503c94b9d243ace545369 | refs/heads/master | 2023-04-03T14:44:18.499511 | 2021-04-10T16:14:24 | 2021-04-10T16:14:24 | 356,628,839 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 403 | py | """
WSGI config for netlabproject 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/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO... | [
"abkristanto@gmail.com"
] | abkristanto@gmail.com |
fac7ca009bd5cd773c1943f1dfee737a0cbdee65 | 4ca0b9d8beec6d4ac2ac64b53429b298b7819311 | /mdp_congestion_game_col_avoidance.py | a083cd73744f554f44cc46c759394260d759a62d | [] | no_license | lisarah/mdp | 36097040f7b6d80d9eddb044c644cd0d6ab005e0 | fc6915aad79e6f9525d485c6fe00bf0d98ca8f53 | refs/heads/master | 2022-06-09T15:46:48.335282 | 2022-06-02T02:56:30 | 2022-06-02T02:56:30 | 207,250,240 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,782 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 2 17:22:30 2021
@author: Sarah Li
"""
import numpy as np
import visualization as vs
import util as ut
import matplotlib.pyplot as plt
import dynamicProg as dp
import random
np.random.seed(121)
Columns = 10
Rows = 5
A = 4
T = 100
P = ut.nonErgodicMDP(Rows, Columns, p=0.... | [
"crab.apples00@gmail.com"
] | crab.apples00@gmail.com |
e5e0604d2d3fa39230cbda76d99c4414a162dd4e | 252bc6452fea2cd61f86f23542001b51b90541a8 | /fsm.py | d1d38936e290adb611d8ec256f83aa39abd34cb7 | [] | no_license | baronrustamov/Toc-project-telegram-chatbot-with-api.ai | 656853e30c1180cf30201b86882816721d2853e7 | 9ea7dae87bf4902f17cb7e48b623bcf38345c906 | refs/heads/master | 2023-05-28T06:46:55.535456 | 2017-06-14T13:59:31 | 2017-06-14T13:59:31 | 345,258,432 | 0 | 0 | null | 2023-05-01T19:53:42 | 2021-03-07T04:31:33 | null | UTF-8 | Python | false | false | 4,368 | py | from transitions.extensions import GraphMachine
class TocMachine(GraphMachine):
def __init__(self, **machine_configs):
self.machine = GraphMachine(
model = self,
**machine_configs
)
def is_going_to_state1(self, update):
text = update.message.text
##print... | [
"cloudstrife60138@gmail.com"
] | cloudstrife60138@gmail.com |
ea1421d3eef4bc9eefc004968959b201b28dc4d2 | c927b1b9adc0670c3111cd8e4f1285ffd4e54cef | /python/seldon_deploy_sdk/api/batch_jobs_api.py | 70fa4a370ec85fa13f3d48a4bd6215262c1b51b8 | [
"Apache-2.0"
] | permissive | FarrandTom/seldon-deploy-client | 79d92224a69ef9241b73154e20aaa38b9e049cf4 | bfc0dd958743f395b8b781b2e8216cc5f8f9e749 | refs/heads/master | 2023-01-20T00:24:15.768347 | 2020-11-26T09:34:05 | 2020-11-26T09:34:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,340 | py | # coding: utf-8
"""
Seldon Deploy API
API to interact and manage the lifecycle of your machine learning models deployed through Seldon Deploy. # noqa: E501
OpenAPI spec version: v1alpha1
Contact: hello@seldon.io
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future... | [
"agm@seldon.io"
] | agm@seldon.io |
4c12d6c896c4460ce3cf13fc5e489758157c9092 | 4904acd900496b4883c2f5b4aa6b45d1ef6654c0 | /graphgallery/nn/layers/tensorflow/__init__.py | 27608f8342dd120c8fa2199d9a62271dd3402705 | [
"MIT"
] | permissive | blindSpoter01/GraphGallery | aee039edd759be9272d123463b0ad73a57e561c7 | e41caeb32a07da95364f15b85cad527a67763255 | refs/heads/master | 2023-06-17T11:42:27.169751 | 2021-07-15T03:07:39 | 2021-07-15T03:07:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 152 | py | from .conv import *
from .top_k import Top_k_features
from .dropout import *
from .misc import SparseConversion, Scale, Sample, Gather, Laplacian, Mask
| [
"cnljt@outlook.com"
] | cnljt@outlook.com |
0b3c762d62a61ea50b5248ea260cc0b2539f9c05 | 1049843fc2931f8c0d997be409a0bdaab0610c3c | /shop/contrib/stock/models.py | e3ae13f28c6ce0036fdb8a944a6050abb2e97dfe | [] | no_license | Optixdesigns/django-shop | 212b0a8a7c561dfadf8d306d0141588316d94f2d | a58028a3fe638c8c6ba3b37e139290657ffc0d13 | refs/heads/master | 2020-04-06T05:47:54.101765 | 2012-10-31T14:44:07 | 2012-10-31T14:44:07 | 4,168,793 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 589 | py | # -*- coding: utf-8 -*-
from django.db import models
from django.utils.translation import ugettext_lazy as _
class VariantStockLevelMixin(models.Model):
"""
Mixin for configurable Variant models
"""
sku = models.CharField(_('SKU'), max_length=128, db_index=True, unique=True,
help_text=... | [
"sjoerd@optixdesigns.com"
] | sjoerd@optixdesigns.com |
3605eda012bbbdc82374e58cba08581a97dc808f | 6d59b155bcf3a61ff677d8ca103215af20ba40cd | /python/05/05Animal_Class.py | 5c17da84c29d38fbfc3acd81ba08db49037633a7 | [] | no_license | lilgaage/lilgaage_scripts | 1c82ba869e637a5971215b2eb084f3b2e9a4b954 | 9108f821c634ffae05423083b9330281f3ae5a57 | refs/heads/main | 2023-08-20T13:01:48.670270 | 2021-10-21T09:16:15 | 2021-10-21T09:16:15 | 419,627,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,009 | py | class Animal:
def __init__(self,name,age,gender,weight):
#非私有属性
self.name = name
self.age = age
self.gender = gender
#私有属性 不能被继承，也不能在类的外部被调用
self.__weight = weight
#私有方法 不能被继承，也不能在类的外部被调用
def __eat(self,food):
print("{}不爱吃肉，爱吃{}".format(self.... | [
"noreply@github.com"
] | lilgaage.noreply@github.com |
87589d298b01d75146ed1956e271d9ba5e9f5e0c | 040c49dd116ad6ff69a61a60c9fc2dc3d17da6d0 | /pdtry.py | c4d32dd9979ac9ebfeca0f12ae13657b280e1b42 | [] | no_license | raulsanika015/python | 0dba12d62a32b7cbcd1c50c018a6ab4f56cf9472 | cf2e73192e180efe3357cbc5477b9abe1469f818 | refs/heads/master | 2020-08-13T10:43:57.942184 | 2019-10-14T13:38:45 | 2019-10-14T13:38:45 | 214,956,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 970 | py | '''
import pandas as pd
# reading csv file from url
data = pd.read_csv("book1.csv")
# creating short data of 5 rows
d = data.head()
# creating list with 5 values
list =[1000,2000,3000,4000,5000]
# adding list data
# creating new column
d["Added values"]= d["SALARY"].add(list)
# display
... | [
"noreply@github.com"
] | raulsanika015.noreply@github.com |
a56f9ca0f4e70237db43a581038292f080b3a26d | 41d020c1155337889b2a55d03dd842dabee4118a | /sls/completion/complete.py | a028fecd5f409d68d2e210fbd04f7d932c120579 | [
"Apache-2.0"
] | permissive | wilzbach/storyscript-sls | 417aeeb51d5e1f5a19d9401e2a7196104a7c723a | d71d74a53852ebae54bdaab341678b04f2775411 | refs/heads/master | 2020-04-30T12:46:08.848392 | 2020-01-28T14:19:20 | 2020-01-28T14:19:20 | 176,835,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,902 | py | from sls.logging import logger
import sls.sentry as sentry
from .ast import ASTAnalyzer
from .cache import ContextCache
from .context import CompletionContext
log = logger(__name__)
class Completion:
"""
Builds a completion list
"""
def __init__(self, context_cache, plugins):
self.context_... | [
"seb@wilzba.ch"
] | seb@wilzba.ch |
3da4401d31604b9dbd226ce90a6be1b1f2237f26 | 2da0be64bb7a608b984b5ef6022f29821662078b | /additional/compare_numpy_fftw.py | bac377db1b367a8571d5a55341fc0c70044c4d0c | [] | no_license | ahelm/fftw-examples | 08766a34ff1a9b2f651595285abae13859e0e9e5 | 42243147adf5db0d9868f06aacd6a36807b0e541 | refs/heads/master | 2020-03-31T13:48:44.478366 | 2018-10-23T18:16:12 | 2018-10-23T18:16:12 | 152,269,933 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 757 | py | # run first FFTW_simple - to store the data
import numpy as np
import matplotlib.pyplot as plt
in_arr = np.fromfile("fftw_simple_in.raw", dtype=np.double)
in_arr = np.reshape(in_arr, (512, 2))
np_in = in_arr[:, 0] + 1.0j * in_arr[:, 1]
plt.figure()
plt.title("input arr")
plt.plot(in_arr[:, 0], "o", mfc="none")
plt.p... | [
"anton.helm@tecnico.ulisboa.pt"
] | anton.helm@tecnico.ulisboa.pt |
11ce75d4bd2254ce4e7db74f5a9d3ba44e7599a7 | 8a96bfce1186a3464aa84e46febd9a8d6d94207b | /utils.py | ffd381a762cc7f91208b7115a9fbe2ec1d83e8bf | [] | no_license | Nishan-Vivek/BCIT-COMP8505-Final-Covert-Communication-App | 70983336ec8dc2acf0d4618a05b6f901ac071003 | d9acafba9df0cc28cbb662fa2d203e295589782b | refs/heads/master | 2022-03-27T08:38:28.091349 | 2020-01-13T01:35:21 | 2020-01-13T01:35:21 | 112,429,756 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,498 | py | from crypto import *
from time import sleep
from scapy.all import *
from scapy.layers.inet import IP, UDP
def send_file(file_path):
print('Sending File...')
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((ATTACKER_IP, FILE_TRANSFER_PORT))
file = open(file_path, 'rb')
s.send(encry... | [
"adamharrison2012@gmail.com"
] | adamharrison2012@gmail.com |
d7e40bfc0631bb952596d974e34621b6bd016d0d | 4c6dd374b4b9ac6b6d8dae55399f754bdf2e5dd1 | /scripts/motion_estimator.py | a3c38541a1e175c3a5458f1c42650fdd9f1d642e | [] | no_license | SubMishMar/golfcart_utilities | 4f3bc92e795f5005a6b012e83f263da1bd84ad14 | 2f12a8211078dfaa90ba049c0f3c8846d52e0ef0 | refs/heads/master | 2020-04-05T10:17:46.071806 | 2019-01-14T19:10:18 | 2019-01-14T19:10:18 | 156,793,386 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 776 | py | #!/usr/bin/env python
# license removed for brevity
import rospy
import math
import numpy as np
from nav_msgs.msg import Odometry
class integrator:
def __init__(self):
self.odom_sub = rospy.Subscriber('/Odom', Odometry, self.odomCallback)
self.predicted_x = 0
self.predicted_y = 0
self.predicted_z = 0
self.... | [
"subodheenitr@gmail.com"
] | subodheenitr@gmail.com |
df0e854af66e4b08013f10764efbf283604e605a | cf5f24e5a32f8cafe90d4253d727b1c0457da6a4 | /algorithm/boj_2003.py | 512b9e6a296d25c4afedb26eb17489dad3e85a78 | [] | no_license | seoljeongwoo/learn | 537659ca942875f6846646c2e21e1e9f2e5b811e | 5b423e475c8f2bc47cb6dee09b8961d83ab08568 | refs/heads/main | 2023-05-04T18:07:27.592058 | 2021-05-05T17:32:50 | 2021-05-05T17:32:50 | 324,725,000 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 374 | py | import sys
input = sys.stdin.readline
n,m = map(int,input().split())
a = list(map(int,input().split()))
left,right,s=0,0,0
ret = 0
while left < n and right <n :
if s == m: ret += 1
if s <=m :
s += a[right]
right += 1
else:
s -= a[left]
left += 1
while left < n:
if s == ... | [
"noreply@github.com"
] | seoljeongwoo.noreply@github.com |
ac023013317edfede1cf982dffd58bc1ae0dd1b4 | d806039aacec6aa3719f41989bf3322a319abdd8 | /PGGAN/utils.py | c20dc647c48646e8571b6ef20705f1ea4dd18dcb | [
"MIT"
] | permissive | MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow | 7cbce46b78f6e254c729df351bc127740a060e84 | af6a012a9e9ddff29195b12988f3e66091696ff0 | refs/heads/master | 2022-09-18T13:04:49.324624 | 2022-08-20T01:47:15 | 2022-08-20T01:47:15 | 139,560,429 | 173 | 39 | null | null | null | null | UTF-8 | Python | false | false | 1,041 | py | import scipy.io as sio
import numpy as np
def read_data(path):
for i in range(1, 6):
if i == 1:
data_mat = sio.loadmat(path + "data_batch_" + str(i) + ".mat")
data = np.transpose(np.reshape(data_mat["data"], [10000, 3, 32, 32]), [0, 2, 3, 1])
labels = data_ma... | [
"noreply@github.com"
] | MingtaoGuo.noreply@github.com |
ef454ebddbb7786708aa91884bd25fe6756beed6 | 953bb4e6f2d72d714a895bbf3c50a7cbf64e6ab5 | /accounts/migrations/0003_auto_20180604_2223.py | 1c66e0e289befbb20448852a43768efe97039666 | [] | no_license | yunielgarcia/Profile-Project | fbe12dba5bda0d027f2015c71a4c627c41af9537 | 42ccf3371b03b49d3f16e662f3fdcbf6db955532 | refs/heads/master | 2020-03-18T10:55:51.825028 | 2018-06-08T17:53:46 | 2018-06-08T17:53:46 | 134,641,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 576 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-06-04 22:23
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0002_auto_20180525_2158'),
]
operations ... | [
"garciayuni84@gmail.com"
] | garciayuni84@gmail.com |
90868a593f6afc79c41a0c22489435edcc8682a9 | 95f9d23dc2d931c447752754d1fae0c979f43591 | /python_exam/zhuaqu/zhuaqu.py | cd63e5d306bfadd15b8be82f09bcb7a996238f1d | [] | no_license | 18801499823/first | a459067f8a00d88dcd484f93e2d6f2266ccd2b39 | 1a1beb2da75fa15fbcbc34f3ae405118ff4bceb3 | refs/heads/master | 2020-08-03T18:18:56.832889 | 2016-11-18T11:56:52 | 2016-11-18T11:56:52 | 73,539,600 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,607 | py | #!F:\Python27\python.exe
# -*- coding: UTF-8 -*-
print
import urllib
import urllib2
import re
import MySQLdb
print
class News:
#init
def __init__(self):
self.url = "http://news.baidu.com/"
#convert div to ''
def tranTags(self, x):
pattern = re.compile('<div.*?</div>')
res = re.... | [
"you@example.com"
] | you@example.com |
f648d9d8a853fc774588882252c25034dc6e3331 | 5b4cca08e9a9de82baf8021b5aaa39efe96f619b | /TensorFlow/read_data_fast.py | 730d80b46d49a7d9bbf378afea47209b5f9dc33d | [] | no_license | pkq2006/DL_project | dcfa6854fc84ba37fe6640a85010f40f63bdbf5c | 874faee5e42f2ebd94702c31f0732a5edf1542b0 | refs/heads/master | 2021-01-11T22:25:41.926588 | 2017-01-14T10:05:04 | 2017-01-14T10:05:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,015 | py | import os
import numpy as np
import numpy
import PIL.Image
from sklearn import preprocessing
import json
import math
from scipy.ndimage import filters
global train_data, train_label, val_data, val_label, data_1, data_0
train_data, train_label, val_data, val_label, data_1, data_0 = [], [], [], [], [], []
ppp =... | [
"noreply@github.com"
] | pkq2006.noreply@github.com |
378e52f260636b95fcd858a293904a9f16a67b9c | 6663e28f46da2e0922030bacbd44db11b670de7b | /api_core/settings.py | 6a535032f464eadbfc50ca395c3f77e0d38dc317 | [] | no_license | LingzFY/mycode-rodin | e414746480dce703e450debfb1aaf1b9eb84b74d | a0e9b78f9c2e753cf5700642a1465e314467dd9a | refs/heads/main | 2023-07-16T22:18:43.883445 | 2021-09-01T09:30:56 | 2021-09-01T09:30:56 | 402,000,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,668 | py | """
Django settings for api_core project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathli... | [
"mmd.ri.it@gmail.com"
] | mmd.ri.it@gmail.com |
9182b439f5699b1b77c86aa69612ae3e6b0f112e | 6ebba9e904886dd3596d39e290851216fab62156 | /Exercie_1.py | 9427d10c780511c15c6705824e1c6ff7f54c7afc | [] | no_license | Haitam-Hansali/Les_Fractales | 58072533f09ddde5491b30780280446483d8126d | e0cb5cffef17e0df86ef821c2a764bf528de4cb7 | refs/heads/main | 2023-01-28T16:05:40.234392 | 2020-11-28T14:21:00 | 2020-11-28T14:21:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,019 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 28 14:27:40 2020
@author: Hansali haitam
"""
#EXERCICE_1:
import matplotlib.pyplot as plt
import random
X =[0.5]
Y =[0]
for i in range(30000):
r =random.uniform(0,1)
if 0 <= r <= 0.1:
Xf = 0.05* X[i]
Yf = 0.6* Y[i]
... | [
"noreply@github.com"
] | Haitam-Hansali.noreply@github.com |
1a4163ff58787277a95099da0f8fa828d14ab105 | 4cd3295b965849e8ba829c1c6a278043d669fe3c | /test/проверить ключ на забанненность/pidors.py | 9c48c7705d016bf94255816189c3ca21b23c7701 | [] | no_license | helljump/cm2 | 9b7cb68ad364f5e5a2ec96abe95e7926ddda4370 | 6bf6e669c4625cd71eda70f602426e931e12ccd4 | refs/heads/master | 2016-09-05T08:49:33.662783 | 2015-01-17T13:40:48 | 2015-01-17T13:40:48 | 29,391,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,369 | py | pidors = [
'Admin-36EEA004231E4FD', 'tester-TESTER-PC', 'Z127474187545', 'Admin-5D60624B80B74DD', 'Osetr-OSETR-WORKPC',
'Admin-MICROSOF-D1F7B6', 'z318420669104', 'R378538586068', 'Z354179671638', 'dovbyshv@gmail.com',
'Admin-NAMAHATA', 'ADMIN-MEGA', 'user-ANATOLY', 'toomas-PLACEHOL-FVXEIE', 'Admin-MICROSOF-0FA2C5'... | [
"helljump@gmail.com"
] | helljump@gmail.com |
75a0f0b8dfb71da6a23800c1e35e0baa5bc226fd | 17b86db5397233f70ba9db376bd16aca9e72a751 | /algos/segmentation/__init__.py | 80831405e3f4096582d1beefcfd9033fd7a84f3a | [] | no_license | javieraltszyler/IATos | 50595f97cfa7b58d5f44cce86e6022a1219d3fe9 | b3d5409d53b357f755e2d6a30ee1126c9de27534 | refs/heads/main | 2023-07-27T12:57:33.051010 | 2021-09-06T23:59:01 | 2021-09-06T23:59:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 63 | py | from .entrypoint import find_caugh_segments, SegmentationParams | [
"dtrejopizzo@gmail.com"
] | dtrejopizzo@gmail.com |
ba234cf0c4b8f005e5bff6a3b7e6f08306842a0a | 389acfd2f2f6f4869ad969f7820931f1077cd903 | /bcdoc/compat.py | ee6d7c910b75b94246c2aa8df1621434c95e2828 | [
"Apache-2.0"
] | permissive | boto/bcdoc | 567dcf892004022fffb0e307550676eb8727b7f5 | eb14c2a4ecde75fae60ec0cb7d4147929a14d007 | refs/heads/develop | 2023-09-03T23:59:58.507910 | 2015-06-17T19:23:20 | 2015-06-17T19:23:20 | 9,522,814 | 5 | 7 | NOASSERTION | 2020-01-16T19:02:54 | 2013-04-18T13:55:05 | Python | UTF-8 | Python | false | false | 723 | py | # Copyright 2012-2013 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fil... | [
"kyleknap@amazon.com"
] | kyleknap@amazon.com |
00dacc8d53715bca065ecc63fda00d4fea71256c | fc2b62504f2e832c2aac4d5a6ac39ecf52a8d65f | /FEL-SSU/03 EM/snippets.py | e03353f5358c6b8a7074e7f9897797ba91af4ead | [] | no_license | LukasHromadnik/CVUT | a995108e9f2b3f79551befb3b1399cee26edf7d4 | 18be904784ebb8ef33ab7009560686968a7a8e27 | refs/heads/master | 2023-01-07T10:16:20.219423 | 2022-12-27T07:00:18 | 2022-12-27T07:00:18 | 217,048,219 | 7 | 2 | null | 2022-12-14T06:19:52 | 2019-10-23T12:10:18 | C++ | UTF-8 | Python | false | false | 1,593 | py | #!/usr/local/bin/python3
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
def to_image(img):
formatted = (img * 255).astype('uint8')
return Image.fromarray(formatted)
def compute_error(image, ground_truth):
diff = np.sum(abs(ground_truth - image))
result = diff / image.size
... | [
"lukas.hromadnik@ackee.cz"
] | lukas.hromadnik@ackee.cz |
ca2f8bfe7c4032f38c05e442f2ebc72410381486 | bd1b1fda138e6687dadc57317c3e312bc8872600 | /mycode/lintcode/DP/non 584 drop-eggs-ii.py | b26afb05ade277e780791bb3532c797249226521 | [] | no_license | dundunmao/lint_leet | fc185038f57e0c5cbb82a74cebd4fe00422416cb | 5788bd7b154649d2f787bbc4feb717ff2f4b4c59 | refs/heads/master | 2020-11-30T04:56:25.553327 | 2017-10-22T07:11:01 | 2017-10-22T07:11:01 | 96,705,212 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py | # coding:utf-8
# There is a building of n floors. If an egg drops from the k th floor or above, it will break. If it's dropped from any floor below, it will not break.
#
# You're given m eggs, Find k while minimize the number of drops for the worst case. Return the number of drops in the worst case.
#
# 您在真实的面试中是否遇到过这... | [
"dundunmao@gmail.com"
] | dundunmao@gmail.com |
ef2d49c6e8228d0db0cf4085723da7fb6610f6dd | 914349e17aa5db5bd68e5a7535bdf693776a08b2 | /calib/utils/summaries.py | 51d5a3ea7a53e1f77e672e9b187ff5248b38ad6e | [] | no_license | dirichletcal/experiments_neurips | f45007aa752597999d2c3bf11bdace34362968c0 | 54989edf11995f7f0f8390766e51133373044db2 | refs/heads/master | 2023-04-01T14:55:20.906559 | 2022-12-06T18:04:38 | 2022-12-06T18:04:38 | 217,910,102 | 17 | 5 | null | 2023-03-25T00:58:47 | 2019-10-27T20:08:11 | Jupyter Notebook | UTF-8 | Python | false | false | 53,965 | py | import os
import re
import pandas as pd
import numpy as np
import math
from functools import partial
from calib.utils.functions import rankings_to_latex
# Visualisations
from calib.utils.plots import df_to_heatmap
from calib.utils.plots import export_dataset_analysis
from calib.utils.plots import export_critical_dif... | [
"perello.nieto@gmail.com"
] | perello.nieto@gmail.com |
8f6d16bbfe84dd5df87370eb683744f95b71f11f | e7ae54a18f187cb7539a0b2a134fe93e9afcbbe0 | /notebooks/scratch_trie_with_attrs.py | e64c734c6432a181c406a9775a3d231168cb8116 | [
"MIT"
] | permissive | hdmamin/htools | b212f6dd3a910ad23de694e4202f9f513c8db52f | 3905b46e9ed713dcd753108bee0eeb05b8a18aa4 | refs/heads/master | 2023-05-12T02:26:29.931781 | 2023-04-27T05:17:25 | 2023-04-27T05:17:25 | 177,682,148 | 1 | 1 | MIT | 2020-03-30T17:28:42 | 2019-03-25T23:49:36 | Python | UTF-8 | Python | false | false | 3,442 | py | """
Want to eventually add support for trie with word-level and maybe char-level
attributes. Ex: word embeddings, word frequencies, char->char transition probs,
parts of speech, etc.). Also experimenting with a slightly different interface
than the existing trie in htools. Note that names are the same so if you import
... | [
"hmamin2@dons.usfca.edu"
] | hmamin2@dons.usfca.edu |
35431caf74211b4c9fb9a864dc2341bb7c26cefa | d3902ba47e145a814117f588f0aba26ba49cc0bb | /osrm/utils.py | bd0cdc70c79b9659e73b75d7705d797c5df11c74 | [
"MIT"
] | permissive | ecotner/osrm-api | bff3c9da8d2ab379c0f19772bc65509dc5705d4a | 1607a0ccdac0b507b2b892ced78f6af8a7b33a5d | refs/heads/main | 2023-01-10T18:43:27.623327 | 2020-11-08T20:50:41 | 2020-11-08T20:50:41 | 310,964,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 807 | py | # conversions from other unit to meters
DIST_CONVERSIONS = {
"m": 1.0,
"meter": 1.0,
"km": 1000.0,
"kilometer": 1000.0,
"mi": 1609.34,
"mile": 1609.34,
"foot": 0.3048,
"ft": 0.3048,
}
# conversions from other unit to seconds
TIME_CONVERSIONS = {
"s": 1.0,
"sec": 1.0,
"second... | [
"2.71828cotner@gmail.com"
] | 2.71828cotner@gmail.com |
ec32a036831fdab1872f15cd6d75526fec6d9151 | 8a025c88c554c782885ccf780faf7af51f8d2583 | /OPP1/第七章/attribute_critter.py | 250670abc900ab0ed774ea1ec31cbe30cefc3df8 | [] | no_license | LIGHT1213/PythonStudy | cc97a6372d5347229d014fa7fa499ac6af1abd2c | b3ac29777e395dee1282d9d422f1f6556cc2b3f6 | refs/heads/master | 2020-04-08T14:17:08.773627 | 2018-12-19T10:32:17 | 2018-12-19T10:32:17 | 159,430,245 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | # Attribute Critter
# Demonstrates creating and accessing object attributes
class Critter(object):
"""A virtual pet"""
def __init__(self, name):
print("A new critter has been born!")
self.name = name
def __str__(self):
rep = "Critter object\n"
rep += "name: " + self.name +... | [
"pch19980807@gmail.com"
] | pch19980807@gmail.com |
05178c520e2297e124911065079f0a33449649a3 | 0ec57662afc11226cba79945d11c1a1c46291653 | /r2d2/chat_conf.py | 1984267220a12c59f4af400d55b8fe95f05fb152 | [] | no_license | rudeak/r2d2 | 3fdb6462b35704d89507750de8140bc31b32c1c8 | 7a821fd92fdf742f529923f5b4a5c6b9ec71f429 | refs/heads/master | 2021-08-26T09:11:43.605522 | 2017-11-22T18:17:00 | 2017-11-22T18:17:00 | 111,716,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 147 | py | def max_anagram(bot, msg, db):
cursor = db.cursor()
s = msg['text']
s = s[s.rindex(' '):]
bot.sendMessage(msg['chat']['id'], s)
| [
"rudeak@gmail.com"
] | rudeak@gmail.com |
e1d148caa0658caacdd4b167e3de28a3dbcb7a98 | 382f4ac6b926ff67caef6d4dcb3a6f42f89f5e17 | /plantilla/PlantillaOpenGL.py | 7385416d19a4dfd18d935dfc31916486d82f4f55 | [] | no_license | JenniD5/OpenGL_2021 | 92edeb50a3e55ddfd7e94da717dca76a03fa55de | 4908032a92df43f8d6fc37876ba53d9ef5626c4a | refs/heads/main | 2023-03-27T04:53:44.456894 | 2021-03-23T00:58:21 | 2021-03-23T00:58:21 | 331,414,502 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,914 | py | from OpenGL.GL import *
from glew_wish import *
import glfw
def dibujar():
#rutinas de dibujo
glBegin(GL_TRIANGLES)
glEnd()
def main():
#inicia glfw
if not glfw.init():
return
#crea la ventana,
# independientemente del SO que usemos
window = glfw.create_window(800,60... | [
"elizabethduran0105@gmail.com"
] | elizabethduran0105@gmail.com |
507f90af98c2413e61c6c3d89b3dc702537d22d1 | 0689512293c47123f0e880fd903a695684680857 | /experiment_code/lstm_m3.py | 2cc452d6adce419503241087669bf04a5cfd2c89 | [] | no_license | oldregan/aml_final_project | a2628681f8dd23c1ca96a851f54e9f99b00bdfcb | cfb49549c8aa84f854e5d280fa618713b94721c9 | refs/heads/master | 2021-01-25T10:21:32.898292 | 2018-02-28T22:21:31 | 2018-02-28T22:21:31 | 123,348,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,243 | py | import numpy as np
import tensorflow as tf
import keras as kr
import pandas as pd
from sklearn.model_selection import train_test_split
# load keras packages
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.layers import Embeddin... | [
"renmin0424@gmail.com"
] | renmin0424@gmail.com |
594dbb31b0d629c64a673c8ac53bf5da344c901d | 201b528383548ec9e4cdea8d92fe42566b03d9f2 | /Z_7-1.py | 08064964037cabfb6a81ef88fea0c7f095137192 | [] | no_license | INePro/Projrct | 7963fdb1afc02f293e42770718fa759981a9524a | 896d389b95eeddc6bff84740950f83ba9024b74e | refs/heads/master | 2023-05-21T18:25:32.142853 | 2021-06-12T11:25:17 | 2021-06-12T11:25:17 | 376,272,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | #СОЗДАЕМ ВЕЧНЫЙ ЦИКЛ
while True:
#ДЛЯ ИЗБЕЖАНИЯ ОШИБОК
try:
#ПРИСВАИВАЕМ ЗНАЧЕНИЯ ПЕРЕМЕННЫМ
n = int(input("Какое расстояние проезжает машина за день: "))
m = int(input("Какое расстояние нужно проехать машине: "))
Time = m / n
print("Машине нужно ", Time," дня/дней")
#ВЫВОД ТЕКСТА ПОДСКАЗКИ
except ... | [
"starikov.vitaliy.03@bk.ru"
] | starikov.vitaliy.03@bk.ru |
c799ae912f28a196e49bada2acad57ee6f99323e | f0e9e10d2b2b60d820ea2184fda449d79a2d6550 | /basic_classification.py | da4b580a3f9fa9c898f82f96a696fd88b4dc7569 | [] | no_license | Pasenger/tensorflow-tutorials | da1256fc7e493a464e1e10a36a6269300c459110 | a7a3cb04acddb27f5747d42bf4942370bef26f7f | refs/heads/master | 2020-05-03T14:55:38.214282 | 2019-04-05T13:22:25 | 2019-04-05T13:22:25 | 178,691,836 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,773 | py | # -*-conding:utf-8 -*-
# =====================================
# 基本分类
# https://tensorflow.google.cn/tutorials/keras/basic_classification
# =====================================
# Tensorflow and tf.keras
import tensorflow as tf
from tensorflow import keras
# Helper libraries
import numpy as np
import matplotlib.pypl... | [
"pasenger@163.com"
] | pasenger@163.com |
0b52aac1d9e5125479b4c19167f891026dc3bac0 | df5096d59715c1a299a0389e249721d8bdf58927 | /test/test_basic.py | cb9a73b58dcd315bb577366be7c9642ccca74e65 | [] | no_license | tomektester/test | d54f65f059fb861abda578ab7fc474b05290147a | a345ec99f6322c6bd1be8fc6fbc8c47004665cc4 | refs/heads/master | 2021-01-21T13:36:49.578450 | 2013-02-21T00:24:40 | 2013-02-21T00:24:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 231 | py | import unittest
class BasicTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_1(self):
self.assertEqual(1,1)
def test_2(self):
self.assertEqual(2,2)
| [
"tomek.rej@roamz.com"
] | tomek.rej@roamz.com |
cde71d39be2ed5096c0281a31c80792286949fab | 65f3ac35a9bc700c6a5d54d14256322413285429 | /model_transfer/model2onnx_batch.py | 3baa3e710c413421dcf73a7c1c489b76a9d1d5c4 | [] | no_license | yangyubuaa/Web_Server_For_TFServing | 08d4c0ee92302d1b9e511b384909fce2f5078e52 | c50189a7372c3369ae00b63e33e01b98f119a7a1 | refs/heads/master | 2023-06-11T00:02:38.497914 | 2021-07-06T06:51:59 | 2021-07-06T06:51:59 | 382,998,472 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,545 | py | import torch
from transformers import AlbertForSequenceClassification, BertTokenizer
def torchmodel2onnx():
# 设置batchsize和输入的最大长度
Batch_size = 1
seg_length = 64
# 读取训练好的模型
model_path = "albert_tiny_pytorch"
albert_model = AlbertForSequenceClassification.from_pretrained(model_path)
# 将模型置于... | [
"minghaiyan@sogou-inc.com"
] | minghaiyan@sogou-inc.com |
8933aa2068fbd93ab8574d7b2cc34be3417a4673 | 701a5781a31207a248caa93e267a8e43c9dba48a | /gbfs/gbfs.py | 266334ee44a2f4f71c65eefbc4bc3e394ef0b5a0 | [
"BSD-2-Clause"
] | permissive | jdswinbank/gbfs | 1160f6bb5bbf798b40369efb9f0bc6d701c86a42 | 5c4a44da1e4ab404d3ad08dad31fe3ae88edd478 | refs/heads/master | 2016-09-14T07:07:14.495828 | 2016-05-02T02:10:24 | 2016-05-02T02:10:24 | 57,861,182 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,783 | py | import enum
import json
import math
import time
from collections import namedtuple
#import requests
__all__ = ["Position", "haversine", "EARTH_RADIUS", "StationCollection",
"Station", "RentalMethod"]
EARTH_RADIUS = 6371.0 # km
class RentalMethod(enum.Enum):
"""
All possible rental methods in sta... | [
"john@swinbank.org"
] | john@swinbank.org |
f62dcd6c599826a31e28c742e85d598e3375d3a3 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2224/60677/295560.py | f653bfac240a0f0bbc5bd8f5352722c814c3e233 | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 425 | py | zzh=input()
zzh=list(zzh)
zzh=[int(x) for x in zzh]
zzhbig=zzh.copy()
zzhbig.sort(reverse=True)
length=zzh.__len__()
first=0
for i in range(length):
first=i
if zzh[i]!=zzhbig[i]:
break
if first!=length-1:
big=first
for i in range(first+1,length):
if zzh[i]>=zzh[big]:
big=i
... | [
"1069583789@qq.com"
] | 1069583789@qq.com |
39f1958826c911b974880e4fe9300acc47ed4602 | 1109202b193ab1e1e8e38ba08889b4afd020bd54 | /fMRI.py | cbf5ea3c795821469687420b6429fd61f738d0d9 | [] | no_license | SriganeshNk/fMRI | 1058499772bd2529bc410aa1e3957c351599dcaa | 32e2a51001e18b11b3837cdd57a77bba7174b9e3 | refs/heads/master | 2021-01-21T05:01:49.417321 | 2015-05-08T23:26:12 | 2015-05-08T23:26:12 | 34,079,485 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 10,851 | py | __author__ = 'Sriganesh'
import scipy.io
import math
from sklearn import svm
import numpy as np
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from matplotlib import pyplot as plt
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import minimum_spanning_tree
i... | [
"sriganesh.navaneethakrishnan@stonybrook.edu"
] | sriganesh.navaneethakrishnan@stonybrook.edu |
89ffc31de335cf350cd6134d4c7c876e058d339a | 7f666c62a4e02a9688beede315c5b79831307679 | /osx-keylogger.py | 632a08f9e62e8d04e2a53df3dba7057142c4c7be | [] | no_license | ianng31/something-awesome | 3f8520191f39f2f87ddafc31f7ed350df329828a | 55c5d918aefb4f558f227d846dc20aa9f4cb2f77 | refs/heads/master | 2022-11-25T20:39:00.654518 | 2020-08-03T13:32:11 | 2020-08-03T13:32:11 | 254,847,276 | 0 | 1 | null | 2020-08-03T13:32:12 | 2020-04-11T10:51:37 | Python | UTF-8 | Python | false | false | 1,086 | py | #!/usr/bin/python
import pynput.keyboard
import smtplib
import threading
import os
from pathlib import Path
class Keylogger:
def __init__(self):
#constructor
HOME = str(Path.home())
self.filepath = f"{HOME}/.not_a_keylogger.txt"
self.header = "[ Initiating Logging ]\n"
def evaluate_keys(self, key):
try... | [
"z5257343@unsw.edu.au"
] | z5257343@unsw.edu.au |
a7e4199230593411dcc6621ba9314e67f00f7537 | d54d97946c90c7b96fd27a174c29ef94093d461a | /S2_Mobilenet_QuadCopters_Lambda/AWS Lambda Files/handler.py | 6e76e06c0157bc575380fe11fbff98f7a321f3ec | [
"MIT"
] | permissive | pranavpandey2511/Deep_Learning_EVA4_Phase2 | b13a281b1b0d18c4a344484334984d3f2b702e4d | b01045c051184f627df6e9e8e26ec5a057c01d3a | refs/heads/master | 2023-04-01T20:44:46.104454 | 2021-04-04T13:21:29 | 2021-04-04T13:21:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,129 | py | try:
print('Import unzip')
import unzip_requirements
except ImportError:
pass
import torch
import torchvision
import torchvision.transforms as transforms
from PIL import Image
import boto3
import os
import io
import json
import base64
from requests_toolbelt.multipart import decoder
print("Import End.....")... | [
"noreply@github.com"
] | pranavpandey2511.noreply@github.com |
3cabf5589b831a4fbf0fd405ef5e4af61faf027f | 3d5e86cb6cc01729170d5d445f958354f72c1462 | /code/ae-with-svm.py | ad9728c56a9e4f773ddc89c9ec683f9dbf36c0e2 | [] | no_license | ianchen88/attack-agnostic-adversarial-attack-detection | 32e20624a4b63cc454912865915c2bd1fcdda247 | 8df0a700300986ae7962c14cef7e60a811b03b8f | refs/heads/master | 2023-02-14T02:00:02.062950 | 2021-01-11T14:41:29 | 2021-01-11T14:41:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,554 | py | import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import visdom
from ShapDataset import ShapDatasetTop
# Ignore warnings from sklearn
import warnings
warnings.filterwarnings("ignore")
fro... | [
"matthew.s.watson@durham.ac.uk"
] | matthew.s.watson@durham.ac.uk |
968c2f037dcf0c1535623c94568e21ba2eca4b62 | dfcbc222a2ff47577a5afa6c987bf10f7a098444 | /Algorithms/mergeSort.py | 9c6487a09c6bc44cf0ec7017ce6a5f82fcef425b | [] | no_license | AshDev07/Sorting-Algorithm-Visualizer | eb71b30076493ca591271b34024fa27dff4911eb | 14300f391a393942cd43d46c7f391a1cc3664b6f | refs/heads/master | 2023-06-15T10:36:59.380842 | 2021-07-16T05:18:29 | 2021-07-16T05:18:29 | 386,516,188 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,107 | py | import time
from colors import *
def merge(data, start, mid, end, drawData, timeTick):
p = start
q = mid + 1
tempArray = []
for i in range(start, end + 1):
if p > mid:
tempArray.append(data[q])
q += 1
elif q > end:
tempArray.append(data[p])
... | [
"ashdev420@gmail.com"
] | ashdev420@gmail.com |
032a7ceb5003e13ea27838cbb1ddebe1a067b09b | 5570482103d38e396ca9c279aeaa5026294bb6e8 | /mapcampus/campusuh/campusuhapp/templatetags/my_filters.py | 5885dcb6ccb8866bcac23fff9f23b02f8ef8b4af | [] | no_license | jchilela/mapcampus | 0719bf235d889813f8855839ec5fa43113b2039a | 348e8d6d1187c1f93e8905070c1b4873d2d812a6 | refs/heads/master | 2021-01-10T08:59:28.112116 | 2016-01-22T21:43:48 | 2016-01-22T21:43:48 | 43,837,006 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 133 | py | from django import template
register = template.Library()
@register.filter(name='times')
def times(number):
return range(number) | [
"juliogabrielchilela1@MacBook-Pro-de-Julio.local"
] | juliogabrielchilela1@MacBook-Pro-de-Julio.local |
f3b66dd18e7b1ad969e37992945448218ff06c52 | c117e905ac5f1938da3c8e23845ad52cc922923a | /src/orion/testing/dummy_algo.py | a506d3f2ce928d707c48ca086fd7b0bb315a602b | [
"BSD-3-Clause"
] | permissive | Epistimio/orion | 2850983dd7ac0a417d451d39b2dc7a652f1920c8 | 2944875eff03b86138d6780df4b1dd6dc8158ccb | refs/heads/develop | 2023-09-01T20:36:59.279966 | 2023-08-21T13:25:43 | 2023-08-21T13:25:43 | 102,697,867 | 218 | 41 | NOASSERTION | 2023-08-21T12:51:55 | 2017-09-07T06:05:21 | Python | UTF-8 | Python | false | false | 1,274 | py | """A dummy algorithm used for unit tests."""
from __future__ import annotations
from typing import ClassVar, Sequence
from orion.algo.base import BaseAlgorithm
from orion.algo.space import Space
from orion.core.worker.trial import Trial
class FixedSuggestionAlgo(BaseAlgorithm):
"""A dumb algo that always return... | [
"noreply@github.com"
] | Epistimio.noreply@github.com |
f3a4db1d6675424c9492749e73ee9c8f7c2fba7a | 3b7a061e406e072de15af4e92216b4800da0edba | /arquivo.py | ca910db9ad7cf626f990f1a7ed32e78b9b8ce7b9 | [] | no_license | juliakastrup/1stG | 45df5278f441f2fab88324282225003f8f18c7af | 57a08eec627ddd860f3e5ba1785f9f51c87976c3 | refs/heads/master | 2021-09-23T22:33:19.845219 | 2018-09-28T14:23:09 | 2018-09-28T14:23:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | py | num1=234
num2=7869
if num1>num2:
print('Sim, {num1} é maior que {num2}!'.format(num1=num1,num2=num2))
else:
print('Não, {num1} não é maior que {num2}!'.format(num1=num1,num2=num2))
name='if'
Paulo name=='Angela':
print('Hey, Angela!')
elif name=='Julia':
print('Hey, Julia!')
elif name=='Paulo':
print('Hey, Paulo!'... | [
"jkastrupb@gmail.com"
] | jkastrupb@gmail.com |
717927f5abd794acc318f554bc19ae9d85c66dd1 | a58a2dee264e11eaf0397f054545156871eafb4d | /services/calc.py | 695be6ab14159754c464ef80f517c638de23821e | [] | no_license | bewakes/assistant | b157c7ead508a5a490d19cfe2fd479a4d0562304 | ff336866a19b7b8c8cd971e340812b8d7c865af1 | refs/heads/master | 2022-12-10T04:24:18.230269 | 2020-04-28T15:41:54 | 2020-04-28T15:41:54 | 92,492,350 | 3 | 1 | null | 2021-06-01T23:24:07 | 2017-05-26T09:00:27 | Python | UTF-8 | Python | false | false | 811 | py | import sys
import os
import traceback
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from utils.socket_mixin import SocketHandlerMixin # noqa
from utils import log # noqa
from utils.terminal_formatter import Style
logger = log.get_logger('Calculator service')
class Calculator(Socke... | [
"spirit_bibek@yahoo.com"
] | spirit_bibek@yahoo.com |
017c7642c90d6d18f5006df5ea73ea024724ee0a | 1f56449c4003dcbe968a5c0c58b9444a80d8ad7a | /config.py | ec1becb0182eeba911bef9837a311f8d48d69a9a | [] | no_license | kevinbsilva/flask_app | 0b311b8cdee5ffbadeefbaf5bb646128d1affabe | 7a28103baca0a3a88910b28ddb730e3d042fd0ca | refs/heads/master | 2023-02-15T04:07:31.790010 | 2020-12-29T02:27:37 | 2020-12-29T02:27:37 | 325,145,995 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or 'you-will-never-guess'
MYSQL_DATABASE_URI = os.environ.get('DATABASE_URL') or 'mysql://{host}:{port}/{db_name}'.format(host='localhost', port='3306', db_name='flask')
MYSQL_TR... | [
"kevinbarranco.silva@outlook.com"
] | kevinbarranco.silva@outlook.com |
6d00b32fd8ad012ae7a155e43f412b5cf8570a59 | e24c66c8ed326f3486c053c25644cb2b183efe9c | /card_example/src/screens/screens/language_screen.py | 2f72238aaf25ad7dcae3fcaaeafdb04bedbecd3f | [
"MIT"
] | permissive | jldj1/card-example | 7f87a0b335ee6a80fa0ccce16af3aecdf8a8e592 | bf2b4519e7ee67d3f8e03a50fcdb4b003c535bea | refs/heads/main | 2023-08-28T04:17:18.185896 | 2021-10-29T02:27:16 | 2021-10-29T02:27:16 | 422,416,922 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,320 | py | import pygame, sys
from buttons.button import Button
from screens.blank_screen2 import Blank2
BG_COLOR = (30, 30, 30)
BLACK_COLOR = (0, 0, 0)
class LanguageSelect:
def __init__(self):
self.width = 600
self.height = 600
self.setup_screen()
self.click = False
... | [
"noreply@github.com"
] | jldj1.noreply@github.com |
b1c7e207adef48e14d64798fda3b81db8f9a18dc | dba617daf7ce09394c703d52054583d9a11084a3 | /datadog_checks_dev/datadog_checks/dev/tooling/commands/release/build.py | 9e45dda5fcc84926ae851302a54fc959619157a1 | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | permissive | cirocosta/integrations-core | 8bb43bca28498df410d2bab4a482eadf81954622 | 86c5e1caabaed489b19dc5cb172545fda9b99ee7 | refs/heads/master | 2020-12-05T12:55:19.928373 | 2020-01-06T13:37:25 | 2020-01-06T13:37:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,284 | py | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import os
import click
from ....utils import basepath, dir_exists, remove_path, resolve_path
from ...constants import get_root
from ...release import build_package
from ...utils import get_valid_checks
from ..co... | [
"ofekmeister@gmail.com"
] | ofekmeister@gmail.com |
097dd9b342883a56dff4f606f3bae72c1bc304fb | 7106ddc566b6fe2e96733414801d37566e51a0b7 | /miscellaneous/pesel.py | d9cfa6ae2e894b24c6bb6a46f4b647fecd3caf62 | [] | no_license | tomelisse/PythonEx | 11c4602b42af79adadde9a7008b8fad35f2d4c5a | b57773ce8d46079533ce009d92f73b7b936d3722 | refs/heads/master | 2021-01-02T22:57:02.947092 | 2017-08-18T15:40:02 | 2017-08-18T15:40:02 | 99,430,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 944 | py | from datetime import date
from textwrap import wrap
def sex(n):
''' returns the sex of a person based on pesel '''
print(n)
return 'M' if n%2 else 'F'
def list_to_int(l):
''' age helper converting list of len =2 to an int '''
return 10*l[0] + l[1]
def age(birth):
''' returns the age of a pers... | [
"tomelisse@gmail.com"
] | tomelisse@gmail.com |
203d43211c5a1f7a559eca0099e46670a3c1d422 | 33496338a35c4f76eadec13dc56c7831b1896113 | /Plugins/MadaraLibrary/Source/ThirdParty/madara/maal/maal_monitor.py | d76607bf7d70d60435d2183f254f6e2145936afe | [
"BSD-2-Clause"
] | permissive | jredmondson/GamsPlugins | 1ce0c2301cf84b6398ae1a2a6cdef9a4d0c1992c | d133f86c263997a55f11b3b3d3344faeee60d726 | refs/heads/master | 2021-07-08T23:40:48.423530 | 2020-10-01T05:31:26 | 2020-10-01T05:31:26 | 196,622,579 | 3 | 1 | BSD-2-Clause | 2020-03-17T04:23:21 | 2019-07-12T17:54:49 | C++ | UTF-8 | Python | false | false | 3,341 | py | #!/usr/bin/env python
## @package maal_monitor
# monitors CPU and Memory usage on an Android smartphone. Does not require monkeyrunner
# "python maal_monitor.py --help" to see available parameters.
# Imports os and system modules which we need to import Ammo scripts
import os
import sys
# Import the Ammo script lib... | [
"jedmondson@gmail.com"
] | jedmondson@gmail.com |
f9324212a0958b78f27b02d6267ce06f0db9fcec | eb9c3dac0dca0ecd184df14b1fda62e61cc8c7d7 | /google/ads/googleads/v6/googleads-py/google/ads/googleads/v6/services/types/ad_group_service.py | 09d6d7c972bdf1313bb68c51d5ca5af90fc14eda | [
"Apache-2.0"
] | permissive | Tryweirder/googleapis-gen | 2e5daf46574c3af3d448f1177eaebe809100c346 | 45d8e9377379f9d1d4e166e80415a8c1737f284d | refs/heads/master | 2023-04-05T06:30:04.726589 | 2021-04-13T23:35:20 | 2021-04-13T23:35:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,936 | 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 o... | [
"bazel-bot-development[bot]@users.noreply.github.com"
] | bazel-bot-development[bot]@users.noreply.github.com |
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