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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6a3a7048675b304dcd33bfc43e2653f82bcfb4f3 | e1c73f1667f62ad28ba7ffeb495507c1ebd724a8 | /old/misc/buoyDetector.py | 5e29e631d3a92eeb9662e9ba07b4c9b29c2128c9 | [] | no_license | yaleinve/sailbot | 470dcf8a16935a9369ec87eec37571a164466b44 | 27b1f5398d2b43146c851b413020e2cc9950b2b1 | refs/heads/master | 2021-01-13T17:32:29.190697 | 2020-03-01T18:23:36 | 2020-03-01T18:23:36 | 27,408,679 | 3 | 1 | null | 2019-04-26T17:42:13 | 2014-12-02T01:18:54 | C++ | UTF-8 | Python | false | false | 3,954 | py | buoyDetector.py | import cv2
import numpy as np
import time
import math
#constants dependent on the camera. TODO update these constants.
OBJECT_HEIGHT = 152.4 # object height in millimeters
FOCAL_LENGTH = 5.0 #focal length of the camera in mm
PIXELS_PER_MM = 600.0 #number of pixels per millimeter on the sensor
CIRCULARITY_EPSILON_WIDTH... |
ea4ec3f662373bcde54dbf0c7527cc2d63f57cdf | 82f4ceb941ff19a65a44967eee15b44165a21adf | /Exercise2.py | 3867724744d297986ad424247c8aa61f8d2897ee | [] | no_license | LiekeSpoelstra/Week3_LC_3 | 8aad488be099f7c4d43cdec43427af7368a62879 | 6ebd525ef52fa2cd01ff41bf9f24f73547a549e5 | refs/heads/master | 2021-02-18T15:30:47.903788 | 2020-03-05T16:15:54 | 2020-03-05T16:15:54 | 245,206,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 817 | py | Exercise2.py | starting_day = int(input("What day will you be leaving? "))
length_of_stay = int(input("How many nights will you be staying? "))
number_of_weeks = length_of_stay // 7 # length of stay in weeks
number_of_days = length_of_stay % 7 # remaining number of days
returning_day = starting_day + number_of_days
if retu... |
0257ce8dc678cb4edbe7dc9c025a2764e806fc46 | aa8742c8e0e8d33669a4e3e993b4547a7df01b7f | /Project2/Main.py | dda76e1c1d1941eaa152ec91c0eddeb23c148a21 | [] | no_license | thyo9470/OOAD-Projects | 00ea4ce3b35eea07a70b416c6e91a86013b758d7 | f0d3ac8758e4863105faf70e331616ed55c03a61 | refs/heads/master | 2022-07-09T08:16:16.243323 | 2020-05-14T18:10:19 | 2020-05-14T18:10:19 | 236,791,122 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | Main.py | from Zoo import Zoo
from Zookeeper import Zookeeper
from ZooAnnouncer import ZooAnnouncer
if __name__ == '__main__':
zoo = Zoo()
zookeeper = Zookeeper()
zookeeper.set_zoo(zoo)
zoo_announcer = ZooAnnouncer()
zoo_announcer.start_observing(zookeeper)
zookeeper.work()
|
e7e9f68ea9a7644d34d6773619b0b382372ef66d | 3818a09fdcb96c06458a5c3542dfb87412dfe27b | /features.py | 79debaf37f6ceda43663b55f91e9a56d4e3de555 | [] | no_license | crazydreamer/Auto-Language-Identification | bdfd8927d6e05f928c74fd47920c96d3df88fe01 | 179ec592a8f56f0311095a9038197c36a8c412c3 | refs/heads/master | 2021-01-18T13:16:25.195947 | 2014-04-16T05:30:28 | 2014-04-16T05:30:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 423 | py | features.py | import librosa
import matplotlib.pyplot as plt
import numpy as np
audio_file = 'theave.mp3'
y, sr = librosa.load(audio_file)
mfccs = librosa.feature.mfcc(y=y, sr=sr)
delta_mfcc = librosa.feature.delta(mfccs)
delta2_mfcc = librosa.feature.delta(mfccs, order=2)
mfcc_vector = mfccs[:14]
delta_vector = delta_mfcc[:14]
d... |
661045c21a96eb271a17ed19f030605247c45035 | a92c0192af41a860def24a3a1c47f790fb40cab6 | /commands/hardReload.py | c13f6619fb6ebd46ffcd92cf051a5f6f3dc1cfa1 | [
"MIT"
] | permissive | NotEnoughMods/Renol-IRC | a5a6356a7617f7e842d8884f092d97081f51baf1 | 1b8177abffb96ee1432112ccbd684dec300df34c | refs/heads/master | 2023-08-09T07:07:44.041517 | 2023-07-31T00:02:27 | 2023-08-02T21:31:19 | 364,713,933 | 0 | 0 | MIT | 2023-08-02T21:08:45 | 2021-05-05T21:48:37 | Python | UTF-8 | Python | false | false | 258 | py | hardReload.py | ID = "hardreload"
permission = 3
def execute(self, name, params, channel, userdata, rank):
self.sendChatMessage(self.send, channel, "Reloading..")
self.Plugin = self.__LoadModules__("IRCpackets")
self.sendChatMessage(self.send, channel, "Done!") |
1f8a95686151c7ab0607456ea6e1343bda54d0d4 | 1ee25d63780bd73d5d50663da1d5ee3bcbe730b8 | /Stack and Queues/simplifyDirectoryPath.py | 654a967b54b0ef2fb4acfc7e04a4c40b66ad644b | [] | no_license | aakash2602/InterviewBit | 91303d70c1d1ddb2d4b26e9773db7c61e409a44b | 5a57bf5ce3922a7199f546b4d1185c1b9eff55af | refs/heads/master | 2018-10-30T18:38:39.595204 | 2018-08-23T18:40:36 | 2018-08-23T18:40:36 | 108,646,034 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 564 | py | simplifyDirectoryPath.py | class Solution():
def simplifyPath(self, A):
paths = A[1:].split('/')
queue = []
length = 0
for path in paths:
if path == '.':
continue
elif path == '..':
if length > 0:
queue.pop(length-1)
... |
68f52625d40d35ddfa6fbfb8659ac200f67db76e | 6aa5497aa28010ab7add927e4c4a37952cf719fe | /gpxtoposition.py | a8a79aec6826314f3305dfd2d08912cdf193c82d | [] | no_license | ccera-astro/school_telescopes | 529f0f5e8993ba4b0f59cb7b039d74079da3c266 | e5c015d69631abd672f900407084aa0509b36463 | refs/heads/master | 2021-07-12T15:05:09.435589 | 2020-03-27T01:16:10 | 2020-03-27T01:16:10 | 124,319,069 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 378 | py | gpxtoposition.py | #!/usr/bin/env python2
from lxml import etree
import json
import sys
import os
top = etree.parse(sys.stdin)
for element in top.iter("*"):
if "trkpt" in element.tag:
latitude = float(element.get("lat"))
longitude = float(element.get("lon"))
dicto = {"latitude" : latitude, "longitude" : long... |
3021cf0bab6d908a6123b74f0c2fffe64faaa1b2 | a9a276eb6caf0c0082a7d86ae37c6b9d18cdfd98 | /pywave.py | 5e564c5f05ca6d7ba61879631b64ea3ce42960c9 | [] | no_license | bbrodriguez/pywave | b806b621892dabf58604be080cbde20e843811f5 | dd04930864c1a974e4a3cc1a56dd5e49417af73c | refs/heads/master | 2016-09-06T12:36:28.104031 | 2013-02-22T11:51:50 | 2013-02-22T11:51:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,381 | py | pywave.py | #!/usr/bin/python
import cherrypy
import os
import simplejson
import sys
import serial
import json
from irtoy import IrToy
with open('AppleRemote.json', 'r') as inFile:
codes = json.load(inFile)
device = serial.Serial('/dev/ttyACM0')
MEDIA_DIR = os.path.join(os.path.abspath('.'), 'media')
class AjaxApp(object):
... |
b9f47e1829a6e4d46b6c8d3f74d5de14702944f0 | 80ae9b5cfb45b6e9cf7873ef7c46e17e117e4019 | /data/CodeChef/CHNGOR.py | 5e9610b75453341c4dc5bf0a733346a61926f367 | [] | no_license | Ritvik19/CodeBook | ef7764d89b790e902ede5802f36d5ca910d8a50e | 2b4ed7938bbf156553d6ba5cba6216449528f0fc | refs/heads/master | 2021-07-04T08:25:52.478719 | 2020-08-08T06:54:14 | 2020-08-08T06:54:14 | 138,744,302 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 174 | py | CHNGOR.py | for i in range(int(input())):
n = int(input())
a = [int(e) for e in input().split(" ")]
bor = a[0]
for j in range(1,n):
bor = bor|a[j]
print(bor)
|
a8734104476213181e221cf00a2e062bdaf66339 | 8f22f84b57c74c03ea0b244eab02e19301fa5b33 | /z. practice/Practice05.py | d87fa3e3859decfc63d4bd4f215c5e9a9189a58f | [] | no_license | bitacademy-howl/python | 540d6dfc830dddc435c264c75d072e897875e1df | 7b8a61c91893369557db0588513d617d13ccd103 | refs/heads/master | 2020-03-25T12:52:43.417148 | 2018-08-07T00:41:30 | 2018-08-07T00:41:30 | 143,798,501 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,162 | py | Practice05.py | # 문제5.
#
# 1)다음 문자열을 모든 소문자를 대문자로 변환하고, 문자 ',', '.','\n'를 없앤 후에 중복
# 없이 각 단어를 순서대로 출력하세요.
def setTheSet(list):
resultSet = set()
for i in list:
resultSet.add(i)
return resultSet
def setTheOnlyMap(list):
resultMap = dict()
for key in list:
if key in resultMap.keys():
r... |
ae8b0c470b1a42f167fd571a0e61a2a0d96222ab | 5909a2ef7e3c624d3f6b28bb8b7fea670a7d6d36 | /cryptohack/RSA/starter1.py | 9eb93251e64967865f47e402a28365ea1a7d7c11 | [] | no_license | ram-1732/cryptohack | 830d39a4f9326f878769e815234e2c135551b209 | 901edc91c6c3ef4e78e516bddd5a2be372cb71c1 | refs/heads/master | 2023-02-12T23:46:16.148921 | 2021-01-10T01:40:34 | 2021-01-10T01:40:34 | 327,463,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 49 | py | starter1.py |
#find 10^117 mod 22663
print(pow(101,17,22663)) |
a8cb76787abd86fd618d78ae66432b27856b1e97 | 963ee246e27d14f839815e664b14e1f4ef1cee92 | /shsa/engine/shsa.py | 2adbe80e037cfafca7176d416d33968a50364813 | [
"MIT"
] | permissive | dratasich/shsa | 77dde66c5a8d0cca80b262220dea45c61a0bc60c | d00030e4e1fdfea65ef47b4dce7943db1d1f1003 | refs/heads/master | 2021-03-19T18:50:12.756470 | 2019-11-18T19:56:20 | 2019-11-18T19:57:04 | 86,790,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 757 | py | shsa.py | """Interface for search engines for Self-Healing by Structural Adaptation
(SHSA).
"""
from model.shsamodel import SHSAModel
class SHSA(object):
"""Self-Healing by Structural Adaptation (SHSA) engine."""
def __init__(self, model=None, graph=None, properties=None,
configfile=None):
"... |
2dcfeb78ddc8a94470ad7494c811bdb5a193f2c5 | 3595df789e76934e0af81a08af022a83dd19bd4a | /app/routes/user_routes.py | 831d25e880103fe8d3338fe77880e3021b7859e3 | [
"MIT"
] | permissive | Suspir0n/botTelegram | 67e0b9cc73cac3350ef0a22bd09be3ac0ec6bbd3 | a37c7f06abc807a2f8221e1641e248e8989e3100 | refs/heads/main | 2023-05-26T21:13:34.074580 | 2021-06-18T16:45:40 | 2021-06-18T16:45:40 | 377,491,557 | 0 | 0 | null | 2021-06-18T16:20:34 | 2021-06-16T12:38:52 | Dockerfile | UTF-8 | Python | false | false | 917 | py | user_routes.py | from flask import Blueprint, jsonify
from ..controllers import user_controller
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%d-%b-%y %H:%M:%S')
bp_users = Blueprint('users', __name__)
@bp_users.route('/', methods=['GET'])
def root():
... |
bc9c6b88874e145cddc948b1902a723591d317c2 | e736cd6f47eede8d4828e65116e11edb092116dd | /src/app.py | 1f63636bafe3188d81c66637d0073af06c564a43 | [] | no_license | Marry-Zhang/CI-CD | 901802111cb48a59e4ebaf1f381442a7296ba15c | 6c3e6637e09c2f28f470ff6e301963403befaa5f | refs/heads/master | 2023-03-23T14:31:57.989717 | 2021-03-18T20:32:20 | 2021-03-18T20:32:20 | 334,331,569 | 0 | 0 | null | 2021-03-09T07:27:53 | 2021-01-30T04:58:48 | HTML | UTF-8 | Python | false | false | 4,638 | py | app.py | from flask import Flask
import sqlite3
from flask import Flask, flash, redirect, render_template, request, url_for, g, session
import os
app = Flask(__name__)
# the database file we are going to communicate with
DATABASE = './assignment1.db'
# connects to the database
def get_db():
# if there is a database, us... |
4c7be387d65e7001f7dd353c1220397a8f8b8a6f | af836b3bffe8124d63d9e596b67345928188f838 | /pythons/LiTE-DTU_FULL_Decoding.py | db5786a44e9b7fdd9206ccbcdb5c4f62e32c5c85 | [] | no_license | dariosol/LiteDTU | 8b88584045b17a0e1f7c35e86cfe7e919475c5db | 72d78eb786651c4cf31797a92af4f5048576186e | refs/heads/main | 2023-06-25T22:36:25.739128 | 2021-07-16T09:40:43 | 2021-07-16T09:40:43 | 330,920,163 | 0 | 1 | null | 2021-05-04T12:07:48 | 2021-01-19T08:59:08 | Verilog | UTF-8 | Python | false | false | 8,130 | py | LiTE-DTU_FULL_Decoding.py | # coding: utf-8
import os
os.chdir('./')
import matplotlib.lines as mlines
import matplotlib.pyplot as plt
import numpy as np
import sys
import argparse
from matplotlib import cm
from functions import *
parser=argparse.ArgumentParser(
description='''Script to decode data from Lite DTU. ''',
epilog="""All is... |
6ae07e88161a2e0357f63a55d3332b95c9dbc119 | 32c4fc05d3fb32555618b34137524fcd4c0cd725 | /model.py | 8c262b4ecf6ba311883f8c0a299e2a87e4822eb5 | [] | no_license | tamara19-meet/y2l-individual-project | c8a168398ad0a8726a2b91b4e92ea73a61d3337d | 2d04eeee3bb6d3d4197c4e7a0a73c2c4e55528d8 | refs/heads/master | 2020-04-19T13:19:01.598457 | 2019-01-31T14:56:11 | 2019-01-31T14:56:11 | 168,214,031 | 0 | 0 | null | 2019-01-29T19:23:54 | 2019-01-29T19:23:53 | null | UTF-8 | Python | false | false | 572 | py | model.py | from sqlalchemy import Column, Integer, String, Boolean, ForeignKey
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from sqlalchemy import create_engine
Base = declarative_base()
class User(Base):
__tablename__="user"
id=Column(Integer, primary_key=Tr... |
1a1ab147bb8f9b8de4cdcd592a067d4a739dc696 | f077000d7fe53a708a01553254f10fb9d78ff3d2 | /python2/exam_statistics.py | d5d4f629fb4cef857e2e365a31537fd1b81cd23c | [] | no_license | LoganMorneault/codecademy | 770f008beca7e6857af03be7bf6ff969a5a34be5 | 26bde35110a0269ea7b331f8fc4315b6e961c4a7 | refs/heads/main | 2023-04-30T16:28:20.494737 | 2021-05-04T17:09:33 | 2021-05-04T17:09:33 | 362,923,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,252 | py | exam_statistics.py | # This exercise is the 15th lesson in CodeCademy's Python 2 course
# This isn't horribly complicated, but the intent is to educate rather than to impress.
# prints a list of grades on separate lines
def print_grades(grades_input):
for grade in grades_input:
print grade
# sum a list of grades
def grades_sum(scor... |
32443f08ab1a9ff141c3968e967470a2b53c371f | 130a98632d2ab4c171503b79e455b7aa27a1dda4 | /models/research/seq_flow_lite/layers/base_layers.py | 40e339986a6d7f7c8ce691d46136aa6e18cafb25 | [
"Apache-2.0",
"MIT"
] | permissive | aboerzel/German_License_Plate_Recognition | d7fc0314295f5cf0c9d7ae9c93a795e3ef1c5787 | 6fc53292b1d3ce3c0340ce724c2c11c77e663d27 | refs/heads/master | 2023-01-30T18:08:37.339542 | 2023-01-07T07:41:36 | 2023-01-07T07:41:36 | 245,586,430 | 34 | 12 | MIT | 2023-01-07T07:41:37 | 2020-03-07T07:16:51 | Python | UTF-8 | Python | false | false | 4,138 | py | base_layers.py | # Copyright 2020 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
a2f91b6f16fc1dc1ca128cb4f395f099904ceaeb | f44ec163b6663e7c6a70782903d0c950f0edd889 | /python_algorithm_interview/Most_Common_Word/trial_1.py | 2bef80be98a5d59a204c71aab8a00abe5edb04c9 | [] | no_license | kimziont/grab-a-bite-algorithm | 25ab955cfb2d31e49172f2c9a205c2e7f8e5ad94 | 9978b0e0d25848c6a839469b4d422a2854e48303 | refs/heads/master | 2023-09-04T06:15:02.478247 | 2021-10-14T20:41:59 | 2021-10-14T20:41:59 | 416,423,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | trial_1.py | # 819. 가장 흔한 단어
'''
금지된 단어를 제외한 가장 빈도수가 높은 단어를 출력하라. 대소문자 구분을 하지 않으며, 구두점 또한 무시한다.
'''
import re
from collections import Counter
class Solution:
def mostCommonWord(self, paragraph, banned):
paragraph = paragraph.lower()
# .;,과 같은 다양한 부호로 단어가 구분될 수 있다 -> 띄어쓰기로 통일
paragraph = re.sub('[^a-z ... |
dbaceab9182db515848ce06ff057fd2798ac3195 | 67c9d6fa4127b7d17296f06de5b70e70437bdd4b | /mainDeepNN.py | 1ba472f3e4f500fff71e5e4f60a4eb0098ae6fce | [] | no_license | jannikwiessler/Deep-Neural-Network-for-image-classification | 873b831ad6b30d2fd8028cc4ab022321671f940b | 65f2685936b186bfcf2fc602588ed9f58e5b4d7a | refs/heads/master | 2022-04-30T22:00:19.456735 | 2020-04-16T18:04:07 | 2020-04-16T18:04:07 | 256,291,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,247 | py | mainDeepNN.py | import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from scipy import ndimage
from loadDataDeep import loadDataDeep
from modelDeepNN import modelDeepNN, predict
plt.rcParams['figure.figsize'] = (5.0, 4.0) # set default size of plots
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams['im... |
736fee6f9a46b8568b2dd217b81d54d689306630 | 808598978683bbc7a1e205c421b02b0cf5c979e4 | /clash.py | 1c965101a755e512d1ff0618c2e5c3e01d1cebe2 | [] | no_license | pnovais/CLASH | 992be9947c651384289ef5629581221d59c40229 | 028af1f6fa316a77868845b7dcb00710d004deec | refs/heads/master | 2021-03-27T14:29:33.843249 | 2016-12-07T12:55:55 | 2016-12-07T12:55:55 | 75,671,624 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,804 | py | clash.py |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import datetime
import time
from sys import exit
from matplotlib import colors, pyplot as plt
from functools import reduce
import matplotlib.cm as cm
import seaborn as sns
from astropy.io import ascii, fits
from astropy.wcs import wcs
fr... |
dbe3aa107de8e62822803d1740773a4b22f41edf | dd413fdf9753709d61804c72e16862608e71639a | /script/used/main_twoLayer.py | 88216c106d0c6fdd5b1fb70f3fdfc35737f675ac | [] | no_license | saragai/Learning_Ex | affc798e0b01b648cde2fffc1049936d76aa9d3f | a2a548a5c4ad0ae40daf7be694f58f522bf5b791 | refs/heads/master | 2021-07-23T14:05:08.063690 | 2017-10-31T07:23:45 | 2017-10-31T07:23:45 | 105,108,282 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 945 | py | main_twoLayer.py | import sys, os
sys.path.append(os.pardir)
import numpy as np
from dataset.mnist import load_mnist
from two_layer_net import TwoLayerNet
(x_train, t_train), (x_test, t_test) = load_mnist(normalize=True, one_hot_label = True)
train_loss_list = []
#hiper param
iters_num = 1000
train_size = x_train.shape[0]
batch_size =... |
3f9be81c86852a758440c6a144b8caba736b3868 | 312c66ec8058caf672bdb88b14ae2e3d72867878 | /plataforma/migrations/0006_auto_20210219_2352.py | c6bc71eb8f967d7c0d69ddd02a0541ae019cf437 | [] | no_license | sourcery-ai-bot/company-api | 0805bcf1356a5210a2168925b9efa3568315a635 | 8bb661a9f93c9ca635f68b16b9b8842a01fcd400 | refs/heads/main | 2023-03-07T10:23:56.438960 | 2021-02-23T21:19:51 | 2021-02-23T21:19:51 | 341,986,656 | 0 | 0 | null | 2021-02-24T17:52:40 | 2021-02-24T17:52:39 | null | UTF-8 | Python | false | false | 519 | py | 0006_auto_20210219_2352.py | # Generated by Django 3.1.7 on 2021-02-20 02:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('usuarios', '0001_initial'),
('plataforma', '0005_auto_20210219_2343'),
]
operations = [
migrations.... |
e06b740f27e41b9f120c962fd76a38a29d54af3c | 8edb75d209b71fd979fd1bca5cf4c963427347b5 | /tests/test_body.py | 0e1f0d2b32e321086ef1f39020bfc81fded83cc3 | [] | no_license | tg-z/hpi | b6dafa0b9f56cde9e067503cafa7e7ed9413d15f | ac76eaca0fc6ca080010cae4dbc6e046b4ed7452 | refs/heads/main | 2023-04-06T08:37:50.477559 | 2021-04-24T08:08:04 | 2021-04-24T08:08:04 | 361,095,895 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 189 | py | test_body.py | from more_itertools import ilen
from my.body import weight, shower, food, water
def test_body() -> None:
for func in (weight, shower, food, water):
assert ilen(func()) >= 1
|
1fd4d1a44270ef29512e601af737accb916dc441 | c7e77659be1b6af99c000f381b7cd6e8f136b99a | /src/estmd/estmd/estmd_simple_test.py | 5fe15c5d608f1753d23b72be2a2f996fa8075ad8 | [] | no_license | juancarlosfarah/anisopter | 9b2c43bbe483fdb9d45338d0189f3332b97e1f96 | 86b7c99650f47c9170c2427c332d8e14fe3b71ae | refs/heads/master | 2022-11-23T16:35:46.447951 | 2019-10-26T09:23:52 | 2019-10-26T09:23:52 | 49,007,749 | 1 | 3 | null | 2022-11-22T04:28:08 | 2016-01-04T16:07:53 | TeX | UTF-8 | Python | false | false | 170 | py | estmd_simple_test.py | from estmd import ESTMD
input_directory = "test.avi"
e = ESTMD()
e.open_movie(input_directory)
e.run(by_frame=True)
r = e.create_list_of_arrays()
print "Done testing!"
|
c7c412fe4e2d53af1b4f2a55bd3453496767890d | 72a83c275a2b959803393088b6e23e180e6302bc | /tests/shedule_page/test_001_filters.py | 8c96a5bbc9112a57f41977f2816fa2d59261e079 | [] | no_license | nikit34/kassa-ios-ui-tests | d67b4108e4c3adf7da2197931d8cf69883180940 | 07b5f612925a10602573533534ccc302653ab883 | refs/heads/master | 2023-06-06T20:48:08.129512 | 2021-07-18T18:05:48 | 2021-07-18T18:05:48 | 384,764,752 | 0 | 0 | null | 2021-07-18T17:38:56 | 2021-07-10T18:26:32 | Python | UTF-8 | Python | false | false | 4,451 | py | test_001_filters.py | from time import sleep
import pytest
import allure
from app.debug_api import DebugAPI
from app.check_api import HandlersAPI
from locators.movies_details_locators import MoviesDetailsPageLocators
from locators.movies_locators import MoviesPageLocators
from locators.shedule_locators import ShedulePageLocators
from scree... |
327371d373819273a2f77f63e0cedee6950dbc46 | abb614790bdf41c7db9d09dfdea4385f78c2be52 | /rtk-RQA/rtk/software/__gui/gtk/DevelopmentEnvironment.py | 3dcc7b48da51f6dc4586d7fb8e941d1720b309fe | [
"BSD-3-Clause"
] | permissive | codacy-badger/rtk | f981bb75aadef6aaeb5a6fa427d0a3a158626a2a | bdb9392164b0b32b0da53f8632cbe6e3be808b12 | refs/heads/master | 2020-03-19T02:46:10.320241 | 2017-10-26T20:08:12 | 2017-10-26T20:08:12 | 135,659,105 | 0 | 0 | null | 2018-06-01T02:43:23 | 2018-06-01T02:43:23 | null | UTF-8 | Python | false | false | 23,981 | py | DevelopmentEnvironment.py | #!/usr/bin/env python
"""
##############################################################################
Software Package Risk Analysis Development Environment Specific Work Book View
##############################################################################
"""
# -*- coding: utf-8 -*-
#
# rtk.softw... |
136215a3ba99f74160373181c458db9bec4bb6b7 | db3048f21d31cdf5232f22743b6c764b85d2bc91 | /Decrypter.py | 22ff1bad9df0512759cc92f301e7d56e02fe63c9 | [] | no_license | shauryasharma-05/PortableKanBan-Hash-Killer | 51fe7738b161fe876b30b412237d63c20458a716 | 06a67f75c0d684825b90e475f5fe2597e8c49d99 | refs/heads/main | 2023-05-04T23:05:35.415347 | 2021-05-24T11:03:58 | 2021-05-24T11:03:58 | 370,320,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 477 | py | Decrypter.py | #PortableKanban 4.3.6578.38136 - Encrypted Password Retrieval
#Python3 -m pip install des
#or
#pip install des
import json
import base64
from des import * #python3 -m pip install des, pip install des
import sys
def decode(hash):
hash = base64.b64decode(hash.encode('utf-8'))
key = DesKey(b"7ly6UznJ")
r... |
cc46485a3b5c68e4f77a2f9a033fd2ee2859b52b | b93be8357e60f5ff37130e3d7ef470a49f63ac59 | /IE598_F18_HW6/IE598_F18_HW6.py | 6549b53b415d0b08384d89fe4a30c28ede108a46 | [] | no_license | fengkai4/Fengkai-Xu | 3a3dc0476dd92a7f53ba912a4916c2b22e0daf08 | cdfff1c6dfe39335249511ac835772b1e568d3f3 | refs/heads/master | 2020-03-27T16:59:25.451925 | 2018-10-15T01:52:52 | 2018-10-15T01:52:52 | 146,821,787 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,867 | py | IE598_F18_HW6.py |
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
iris_dataset=load_iris()
X=iris_dataset['data']
y=iris_dataset['target']
X_tra... |
ce98c13555c474de0a9cb12e99a97b2316312b00 | 0b793bce2da8c3d09b7956c0672ddbffd46feaed | /yukicoder/yuki161.py | 320baef65caa05b4fb5e3812679f00b92b8532fe | [
"MIT"
] | permissive | knuu/competitive-programming | c6c4e08fb231937d988bdc5a60a8ad6b31b97616 | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | refs/heads/master | 2021-01-17T09:39:02.647688 | 2020-11-07T03:17:22 | 2020-11-07T03:17:22 | 27,886,732 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 331 | py | yuki161.py | yuki = list(map(int, input().split()))
S = input()
enemy = [S.count('G'), S.count('C'), S.count('P')]
ans = 0
for i in range(3):
ans += min(yuki[i], enemy[(i+1)%3]) * 3
yuki[i], enemy[(i+1)%3] = max(0, yuki[i]-enemy[(i+1)%3]), max(0, enemy[(i+1)%3]-yuki[i])
for i in range(3):
ans += min(yuki[i], enemy[i])
... |
4390864fdd105c09f2c6f7e1503debf6c5c93a26 | bd1d989371a035cb532ac5028e447d92464d0596 | /client.py | 8270eff803be53f010516b99bf017e6f57552317 | [] | no_license | SelvaKarthik17/SysAd-Task3 | 096c209b384d280da574ff3f509adaeade678fb2 | bdaa8c1ab1207a1b906e19a1fe0e165a43d3c233 | refs/heads/master | 2022-10-28T17:59:45.926693 | 2020-06-14T19:46:27 | 2020-06-14T19:46:27 | 272,271,777 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | client.py |
#This is a generic client side script. Run multiple instances of it after the server code starts running.
import socket
import _thread
flag = 1
name = input("enter your name:")
c=socket.socket()
c.connect(('localhost',9999))
def send():
msg = input("enter:")
while True:
c.sen... |
52a11681709dff149d60244178b2a14ec201639c | 3b2ead608d71da663af69f8260d9b05312a10571 | /Lesson_4/lesson4_4.py | 4f8d0d2d221513d44a28a63d3b2e04a0dfed4b41 | [] | no_license | ddobik/Introduction-Python | 938f5c7dff0d51d0fe33c4ee1484747b27203805 | 1025e2c320671908595f6fccc16990756af9b6c4 | refs/heads/main | 2023-07-20T17:34:09.910739 | 2021-08-19T14:38:37 | 2021-08-19T14:38:37 | 376,647,120 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 162 | py | lesson4_4.py | n = int(input('Enter n<=9:'))
l: list = list(range(1, n + 1))
for item in l:
s: list = list(range(1, item+1))
p = ''.join(str(x) for x in s)
print(p)
|
ed6c2f76ded9cf4bb02c06358ecd451d4b6da6ea | 55a311eb02403f8fa7e4d1e148e9bb5e80619984 | /main_module/main.py | 7c36efa46790342cc9c14fb8c3d72a2f3d700f62 | [
"Apache-2.0"
] | permissive | kethan-kumar/Custom_Database | f5f3e5478a6b4c66f88fde5305f822ebacdb6ca2 | 0d44ab8748631b806b3711b8ae7d68e5f6474b1d | refs/heads/main | 2023-05-07T15:12:27.703962 | 2021-05-12T11:37:35 | 2021-05-12T11:37:35 | 365,336,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,397 | py | main.py | import logging
from businessLogic import Controller
from main_module.AuthenticationMechanism import AuthenticationMechanism
def get_user_option():
print("|************** Welcome to Custom My SQL Database **************|")
print("1. New user")
print("2. Existing user")
print("3. MySQL Command prompt")... |
81e3fe00de85d8b20f2b91494b65049b8dd130fb | 6d53e6a8f96ee8d0e3a1b40dc7a8cebf7bf3357f | /HelloPY/ne1/fe.py | a27ecd089ca127ddfb45d8a6f7a1f70ee636bd01 | [] | no_license | frank790626/python | 8ba6e7e916706432bf30e652188182fca4a81217 | 4294eb59aacf249c7da1a2d341d9872274b3c980 | refs/heads/master | 2020-07-23T15:47:14.598215 | 2016-08-30T13:37:27 | 2016-08-30T13:37:27 | 66,938,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 80 | py | fe.py | from v import call
newFun = call.account('frank', 54, 6)
print (newFun.name)
|
4ffd23db18a24e030e44adafe358ae8250bbe203 | c8d2c66f2a424ceff36e23b402a222c83416db42 | /CEM_cart_pole.py | 6f35b94ba437eff2d01e042c0efdef0db2f1126f | [] | no_license | Pavelevivan/RL_Practices | 78874737c72907dc54f63df971df28ebdb155688 | 69e5a4a2e7ad78370022475197dab13debbcd79d | refs/heads/master | 2020-08-29T11:37:53.487166 | 2019-10-28T10:19:39 | 2019-10-28T10:19:39 | 218,021,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,117 | py | CEM_cart_pole.py | import gym
import torch
from torch import nn
import numpy as np
#lunar lander
# acrobat
# mountain_car
class Agent(nn.Module):
def __init__(self, states_dim, actions_dim, epsilon):
self.linear_1 = nn.Linear(states_dim, 50)
self.linear_2 = nn.Linear(50, 20)
self.linear_3 = nn.Linear(20, actio... |
1f9faefa9a2854b8b007bd8eab0948230f7f1a27 | 6040ec2771a81654ac41f33ce5c4aa7e66d4e5d9 | /src/파이썬코드(py)/Ch09/code_9_7_3.py | 5f877c4eb7c98ba9a2ef2f364ce528ee47980675 | [] | no_license | jinseoo/DataSciPy | a3462785ae094530141e66ead8de9e6519fbf193 | de6127c0741f8d0cfc989e17ba3a5a65004e5d9c | refs/heads/master | 2023-06-25T19:03:22.086126 | 2021-07-27T09:01:41 | 2021-07-27T09:01:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 281 | py | code_9_7_3.py | #
# 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
# 9.7 정보를 한눈에 보여주는 워드 클라우드 , 232쪽
#
import matplotlib.pyplot as plt
plt.figure(figsize=(40, 30))
# 화면에 이미지를 그려준다
plt.imshow(wordcloud)
plt.show() |
0d24ae730a25ee0a7d30387a63f97103732c7990 | e86eb8ec2669a1b46268fc17d4eb47432f06e87e | /train.py | 94ee8c6ab191d3a8fae1b17d6cca20783a130b8a | [] | no_license | vdeepak13/ContextualBias | 9d9d0d1804cd16b206536a9c04ea199ba0815d06 | be771b6b77c0fe1f6161a03804e64008b9825b28 | refs/heads/main | 2023-08-05T18:57:21.095459 | 2021-09-21T00:49:15 | 2021-09-21T00:49:15 | 381,631,570 | 0 | 0 | null | 2021-06-30T08:36:44 | 2021-06-30T08:36:44 | null | UTF-8 | Python | false | false | 18,942 | py | train.py |
import pickle, time, argparse, random
from os import path, makedirs
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
from sklearn.metrics import average_precision_score
from classifier import multilabel_classifier
from load_data import *
from recall import recall3
def main():
p... |
1a3df131e4b96b2bc32faac2f3fcd0c829958865 | 855b8f31187fbfb0ca9399af3ef4aec6cd0e0a6d | /take_photo.py | 039754d5d97f700b899959540e27aeca4498eb49 | [] | no_license | tigert1998/phone-detection | 49394101632f364fb25bb73b8368e7803036c6eb | 60234dae2ee6ffb4c09ac796aeef7efb5e3788ce | refs/heads/master | 2020-03-27T14:56:22.974150 | 2018-09-23T03:46:03 | 2018-09-23T03:46:03 | 146,688,144 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 532 | py | take_photo.py | import cv2
if __name__ == "__main__":
pattern_size = (10, 9)
total = 11
capture: cv2.VideoCapture = cv2.VideoCapture(1)
cv2.namedWindow("chessboard", cv2.WINDOW_NORMAL)
cv2.resizeWindow("chessboard", 1280, 720)
while True:
_, frame = capture.read()
cv2.imshow("chessboard", frame... |
71f626c09492031c90f130f4468edf4dd1501856 | 215e7cd3b5d15c8306fb8f8cae479eb5745fe110 | /test/Feature_Visualization.py | 29252dbcab78307b11c533deeb8e142d20712b1b | [] | no_license | Garvit244/Empatica_E4_Preprocessing | ff51abbf57e17cd5690ea6b589e8838a5aaa570b | 9a350296c3a535b183d03569419821be5f895212 | refs/heads/master | 2021-03-27T14:55:50.061862 | 2018-06-27T08:30:32 | 2018-06-27T08:30:32 | 124,196,876 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 815 | py | Feature_Visualization.py | import pandas as pd
from main.visualization import visualize_feature
import matplotlib.pyplot as plt
def visualize_scr_per_segment(file_path):
pd_a = pd.read_csv(file_path)
print pd_a.groupby(['Tags']).size()
tags = pd_a.Tags.unique()
tag_list = []
value_list = []
for tag in tags:
tag_l... |
f6d8037a7c6f718df3f0670818dac510289a58ae | 8a37e624a18b06fefc39f645b83094ccff9706f0 | /app.py | 5ae1aa766e4bfd7b1bc76da785c8bdc3b22efe4b | [] | no_license | mbroomes22/basic-python-gui | 6e08cf58f051d44e4408762b53d85ed56f1a30fe | 3dd4f682c9274fe6bb2a905c45161e435f10664d | refs/heads/main | 2023-01-29T09:09:11.470569 | 2020-12-11T01:30:48 | 2020-12-11T01:30:48 | 320,433,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,312 | py | app.py | import tkinter as tk
from tkinter import filedialog, Text
import subprocess
import os
root = tk.Tk()
apps = []
if os.path.isfile('save.txt'):
with open('save.txt', 'r') as f:
tempApps = f.read()
print(tempApps)
def addApp():
for widget in frame.winfo_children():
widget.destroy()
... |
a778276cad49e965117ed6e784944195d318d3d7 | e28dd7cb2020c71f823b8bf5d289d0542dc56b10 | /accounts/migrations/0005_auto_20210629_1816.py | 6ebf4e04ce9b456640f2885aac96384a4357c2f6 | [] | no_license | von2020/propertyBossLtd | 57be9bc729665db58f66ef7654bd79e59ec64a63 | a777feb07d951df847a46e09457a21a020021638 | refs/heads/main | 2023-06-28T22:24:41.061844 | 2021-07-28T09:03:19 | 2021-07-28T09:03:19 | 374,885,504 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 458 | py | 0005_auto_20210629_1816.py | # Generated by Django 3.1.2 on 2021-06-29 17:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('accounts', '0004_auto_20210628_1639'),
]
operations = [
migrations.RemoveField(
model_name='userregistration',
name='id_card... |
424d3b96a6545465423e348a5c9437677e627a20 | 7a8a633cfbe2b5c27ddce5c4c036be30d837ee2b | /modules/__init__.py | 39f46130cca6b866f92fc5cc8bda4d01535e932e | [] | no_license | allan918/Edesia | 28677aa21d5811409432941b366155e441003ba9 | fa915c4b684b95ca4e9ae0197072eabc39837c2e | refs/heads/master | 2023-03-26T04:34:40.011067 | 2021-03-25T21:43:59 | 2021-03-25T21:43:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 198 | py | __init__.py | from modules.crawler import Crawler
from modules.parsingHelper import ParsingHelper
from modules.mongoHelper import MongoHelper
from modules.recipe import Recipe
from modules.website import Website
|
12451a8849d862329a1d2ecd10895abacff10ae9 | 6ab79ba7b216c5f84dfb618a612bedca000549dd | /sqmake/main.py | c7948337772c945e15012d409a44debd179a848f | [
"Apache-2.0"
] | permissive | mattwigway/sqmake | 4b9cf569339d42b0ac2c6dcb2fe64d5fc420298c | b350cb70daa787e50a32cd3ca56d595d0892b404 | refs/heads/master | 2023-04-08T06:24:35.728776 | 2023-04-04T17:19:06 | 2023-04-04T17:19:06 | 265,368,396 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 894 | py | main.py | from argparse import ArgumentParser
import logging
import os
from . import Makefile
def main():
parser = ArgumentParser()
parser.add_argument('task')
parser.add_argument('--sqmakefile', default='sqmake.yml', help='Path to SQMake file (default: sqmake.yml)')
parser.add_argument('--echo', action='store_t... |
b929aed7d0f585935dfcc6afcab7d903a7625af6 | 5461dd309d12b40c7ffe603f4bc492e1fe7bddbd | /{{cookiecutter.project}}/src/lib/versionedLib/versions/ver_1_001/__init__.py | 5382c244a7aac54a38a76d805231dd0cca37d454 | [
"MIT"
] | permissive | sankhaMukherjee/myCutter | 5ebf3c9dbb44d97b896404703ae8408bf8461642 | f4db6c78e093f825569439127a56c579c6853e24 | refs/heads/master | 2021-06-03T03:23:43.224046 | 2021-03-20T07:27:22 | 2021-03-20T07:27:22 | 108,530,971 | 1 | 1 | MIT | 2018-05-31T03:09:03 | 2017-10-27T10:08:21 | Python | UTF-8 | Python | false | false | 35 | py | __init__.py | '''version 1.001 of the library
''' |
c88c40cb958a99ea0cffef7f1508b17de1f5ebca | d1565bf3b0829f7e7fa1a132e757481a57acae98 | /carrotLand.py | ee32041079fe769484dfc00c5ddbd500a860ca75 | [] | no_license | abdelaha/Google_Foobar_Challenge | 7ccfd6c4553719351a4639f85e62948cbe0fcc41 | e6a1c3b96a91e40a3b3f6c170c6abdbc44fe8c0a | refs/heads/master | 2021-04-27T01:30:55.539598 | 2018-02-23T21:42:54 | 2018-02-23T21:42:54 | 122,675,667 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,262 | py | carrotLand.py | import fractions as fs
__author__ = 'Hamzah'
def areaOnly(vertices):
# your code here
A = vertices[0]
B = vertices[1]
C = vertices[2]
#Just for fun
area = float((A[0]*(B[1]-C[1])) + (B[0]*(C[1] - A[1])) +(C[0]*(A[1]-B[1]))) /2
area = abs(area)
return area
def answer(vertices):
# y... |
1882c6532dcdd567c87faa21935c101d5158dee2 | 40807c4bb7b1f0e1323c4309b482039dfd334039 | /questions_factory/models/problem_models/statistics_problem.py | c2842e0903ad69793da729d5cd9f8bb14c8b73b9 | [] | no_license | bduhoux/oscareducation | 15e383e5479883a6a4d8b17b18c4dd1fb54716f9 | bc189d0b959c56cf89283dc701e8bfd1d88cbf5f | refs/heads/master | 2021-08-23T20:47:33.972664 | 2017-12-06T13:25:42 | 2017-12-06T13:25:42 | 107,121,228 | 0 | 5 | null | 2017-12-06T13:24:52 | 2017-10-16T11:58:25 | HTML | UTF-8 | Python | false | false | 3,473 | py | statistics_problem.py | # coding=utf-8
import random
import numpy
import yaml
from collections import OrderedDict
from examinations.models import *
from questions_factory.models.problem_form import *
from questions_factory.models.problem_models.problem import *
from skills.models import Skill
class StatisticsProblem(Problem):
NAME = "... |
50c1c5578337d2c0ac09cf62cb1dcad18b164151 | 1259b3ce40c8178059ca11eb4c2bd4b80a6b6d83 | /pyBL/_conf.py | 61439f4a274f244c7a3d548a78c3d751fe8e7285 | [] | no_license | afluerasu/pyBL | 3315a1403d6dcac0c524be49a0aa78e3b8adc121 | 6468e6b4e0ae71282b82baedcc285d7046fe31f6 | refs/heads/master | 2021-01-19T10:37:09.059327 | 2013-10-31T21:00:14 | 2013-10-31T21:00:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 325 | py | _conf.py | '''
Created on Aug 23, 2013
@author: arkilic
'''
def __loadConfig():
import os.path
import ConfigParser
cf=ConfigParser.SafeConfigParser()
cf.read([
'/etc/pyBL.conf',
os.path.expanduser('~/pyBL.conf'),
'pyBL.conf'
])
return cf
_confBL=__loadConfig()
# print _confBL.secti... |
92499d354c568443111985df433d76e35a00e249 | 4d8439664d716ce811046969f806ccfc3fbe1add | /singlecellmultiomics/features/__init__.py | f1bc13f61793bffc44c9345d010aeb61878272de | [
"MIT"
] | permissive | BuysDB/SingleCellMultiOmics | b32519be6d4a79d8c80050f91e600aceedb9983f | 441f378cbfb0af165f1ada5b8596362412b3cc48 | refs/heads/master | 2023-07-25T17:39:18.371642 | 2023-06-21T07:30:31 | 2023-06-21T07:30:31 | 187,592,829 | 21 | 9 | MIT | 2023-06-21T07:30:32 | 2019-05-20T07:47:28 | Python | UTF-8 | Python | false | false | 63 | py | __init__.py | from .features import FeatureContainer, FeatureAnnotatedObject
|
c2d036b62ba6e8e7768919859f4ad28f42b58351 | 21779b3869fea7daa0c939b79784f6a9eef6a9a9 | /code/convolutionalvae_app.py | 20530806ce6ef494ab4736c851cb4f42da120c91 | [] | no_license | adriankristanto/VAE | e0e56a3e9b6c2afab12e21d2676611949b49defa | 372781a7be928e54e41efccd74a40475ef2bf248 | refs/heads/master | 2022-12-11T21:02:36.370193 | 2020-08-31T06:57:22 | 2020-08-31T06:57:22 | 286,161,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,828 | py | convolutionalvae_app.py | import torch
import torch.nn as nn
import torchvision
from datetime import datetime
from models.ConvolutionalVAE import ConvolutionalVAE
import os
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# load the model
MODEL_PATH = os.path.dirname(os.path.realpath(__file__)) + '/../saved_models/'
MODE... |
7cc2f4dfc02b1f233a396eb0269cb600db78e7cc | b683792dd1a1b5e206b53a79da45e12869c042b8 | /16.py | 881bac4261e85bd8d9a6baff2fdc285d2922eb42 | [] | no_license | Vladislav1223/Colocvium | 4f6dfb1fadc98481bb6128f4a1a43e703ac93736 | e1a8d8ce8d8f4aa15c6c8dbc726589c676511e76 | refs/heads/master | 2022-05-18T11:09:25.360027 | 2020-04-23T15:51:41 | 2020-04-23T15:51:41 | 258,254,276 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,348 | py | 16.py | #Знайти добуток елементів масиву цілих чисел, які кратні 7. Розмірність
#масиву - 15. Заповнення масиву здійснити випадковими числами від 10 до 50.
#Павлюк Владислав
import numpy as np#импортируем библиотеку нампи
import random
while True:
b=np.zeros(15,dtype=int)#инициализируем матрицу нулями,и присваеиваем типу д... |
374383428c14ece1cbd8f6565022501b05c551c2 | fbc84db08a7ce208e2fc0095e74facca24e077b0 | /scripts/volume_control.py | 3c1c70afdfe090a7e214a7da8bd61c177dc79976 | [] | no_license | PiotrProkop/dotfiles | a001763a8afd617717fb1814166036424cb583df | c1d0ef19efcf6a922aec02640a2ff28757ec0237 | refs/heads/master | 2023-08-30T09:44:55.373896 | 2023-08-30T06:33:11 | 2023-08-30T06:33:11 | 46,281,205 | 9 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,902 | py | volume_control.py | #!/usr/bin/env python3
#Based on https://github.com/Airblader/dotfiles-manjaro/tree/master/scripts/volume_control.py
import subprocess
import sys
from subprocess import call
def execute(input):
command = subprocess.call(input, shell=True)
dupa = str(command).split('\n')[0]
return dupa
def get_active_sink()... |
02475fe14c3d1fba2ce34fb2f306d8b111fc8e36 | 3d31d1ebeac4586a455c08d551e81e5596f4a8c4 | /dev/3_25_2018/UPS_Main.py | 7d8d981c17e205b6828d710bfc5211d5097a13f5 | [
"Python-2.0"
] | permissive | npwebste/UPS_Controller | 0ff9670abd6f4ff5d4f3a5ec3003e4f4ddfcf148 | a90ce2229108197fd48f956310ae2929e0fa5d9a | refs/heads/master | 2021-05-10T10:00:03.186490 | 2018-08-04T23:37:16 | 2018-08-04T23:37:16 | 118,942,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 793 | py | UPS_Main.py | # Universal Power Supply Controller
# USAID Middle East Water Security Initiative
#
# Developed by: Nathan Webster
# Primary Investigator: Nathan Johnson
#
# Version History (mm_dd_yyyy)
# 1.00 03_24_2018_NW
#
######################################################
# Import Libraries
import Config
import time
import sql... |
45221f56cc697288da1919b0cb2a943701f5ccae | f7239079104bec972007a0dcb4962c984be1624d | /src/scripts/binclass_prep.py | 04133820ffaee8a2fd8f30c1ba25a909e69fce75 | [] | no_license | kaushik316/T2D_Models | bb75adb2a107dbd9959cad2dfded1c6fdde69247 | 5b20f3ad76eb21a04de8c84dc6cd2eb3636c63a2 | refs/heads/master | 2020-03-30T05:00:01.005392 | 2019-05-08T16:48:54 | 2019-05-08T16:48:54 | 150,773,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,946 | py | binclass_prep.py | import pandas as pd
import numpy as np
import boto3
import s3fs
import os
import sys
from sklearn.model_selection import train_test_split
sys.path.insert(1, os.path.join(sys.path[0], '..'))
from auth import access_key, secret_key
# Read in data and compare class balances
def show_counts(df, pos_col, neg_col):
pos... |
78e5d751094e9435ee9876afdc56f3782756d2d2 | 9431070f08eb587e00225b98cf27cf2f1494e519 | /The-Python-Workbook/2-Decision-Making/exercise61.py | fdec4dd8e4b8158fe85f3deffaa0d5c4d4cdbdb3 | [] | no_license | emilianot04/Exercise_Python | 94908fd2612da077717de8907a4b9a39b9de9480 | abc29498f4c7efe1c4e42ad24e3850ad2f330615 | refs/heads/main | 2023-06-24T12:37:02.167480 | 2021-07-21T16:29:07 | 2021-07-21T16:29:07 | 377,550,892 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,399 | py | exercise61.py | """
In a particular jurisdiction, older license plates consist of three uppercase letters followed by three digits. When all of the license plates following that pattern had been used, the format was changed to four digits followed by three uppercase letters. Write a program that begins by reading a string of characte... |
9bb4a7442c00f69aab35d68a878961ea248d7078 | 84b99814136f134fc2238a266225ed8342b6ede0 | /artemis_pcie/nysa_platform.py | 3436a99398d0ffc2175d590df4768849954ab1c9 | [
"MIT"
] | permissive | CospanDesign/nysa-artemis-pcie-platform | 1f25f3e940c43acc631d9c0cb1ecdee26e846af0 | 844be4b14b27520eb4bb15b8a2f18d7797b91943 | refs/heads/master | 2021-01-21T04:35:18.492160 | 2016-07-04T20:25:43 | 2016-07-04T20:25:43 | 48,339,973 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,332 | py | nysa_platform.py | #Distributed under the MIT licesnse.
#Copyright (c) 2014 Dave McCoy (dave.mccoy@cospandesign.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 limitati... |
fc5683b52a58654b9f16348f1011147dd66570b2 | 58148e7a510e2f39402c2edc6ef79aa79eb65e4d | /22.栈的压入弹出序列.py | 8fd606b8d235906ff057f294257e78a26ab61dd2 | [] | no_license | gtxmobile/jzof | 28eb48674e8641238dc775cc45c7b18fa36dbb2b | 524a6b5df89e26206cb48bbd957c2d98cfaa9e18 | refs/heads/master | 2021-01-19T13:01:28.663803 | 2019-05-14T15:39:29 | 2019-05-14T15:39:29 | 23,761,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 523 | py | 22.栈的压入弹出序列.py |
from random import randint
def pushpop(a,b):
j=0
i=0
ass=[]
top=0
while j<len(b):
if ass and ass[-1]==b[j]:
print "pop ",ass.pop()
j+=1
else:
try:
ass.append(a[i])
print "push ",a[i]
i+=1
... |
b9872f7dc93fcaddec6e6d80d266ceaef2dfdfca | 0643f06e82379ccb7da9fb4f391da947e7fd762a | /applications/webscraper/demo_web_scraper_requests.py | 5b6d96318f818761d0705710469112de81572cbd | [] | no_license | plutoese/Robot | 1196c1c5fa9ab83c896c48dd2b49d21c56c9de94 | 35b5271f0c27524a3150bf637209b90ba93e563e | refs/heads/master | 2021-01-21T04:50:55.519117 | 2016-06-06T09:44:02 | 2016-06-06T09:44:02 | 50,476,684 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 226 | py | demo_web_scraper_requests.py | # coding=UTF-8
import requests
from bs4 import BeautifulSoup
html = requests.get('http://econpapers.repec.org/article/aeaaecrev/')
print(html.status_code)
bsObj = BeautifulSoup(html.text, "lxml")
print(bsObj.h1)
|
7cbef6825935c3eb9f83d717613ff90d3a9f5d12 | cd17a375f78506d0770fe783ff0e7996eea3d0d7 | /python/src/basic_type.py | 07e8fe4a734cca00dd69b18fc110e7ae0095a338 | [
"MIT"
] | permissive | zhudanfei/json-schema-dsl | 19aad5902add05fd464501991968b02ab6149baf | 26323e8440a404610998a67912ecefb243bf788c | refs/heads/master | 2021-06-01T12:27:32.806817 | 2020-10-07T18:32:20 | 2020-10-07T18:32:20 | 145,325,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,474 | py | basic_type.py | from schema_dsl_common import *
def any_type(value, path):
return value
def string_type(value, path):
path = path or []
if value is None:
return None
if not isinstance(value, (str, unicode)):
raise TypeError(get_message(path, 'Should be a string'))
return value
def integer_type... |
86f93115f42eedf4f6ba39e7e4333de5bb82d9d5 | 27f633e7a77fd061231e92d0217056131d8fb10c | /test.py | 8f5e6da6bb80ad3203344f43d99992c5883a4b69 | [] | no_license | LucasFuentesValenzuela/CS224W | 763ee7a2adf43be88dd01a4105828371146ed383 | ca535c9b3714031abf0eac86d59f2d166decabe1 | refs/heads/main | 2023-03-25T07:17:19.277048 | 2021-03-21T01:54:55 | 2021-03-21T01:54:55 | 337,878,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,672 | py | test.py | import argparse
import os
from typing import Dict
import numpy as np
import torch
from torch import nn
from torch import optim
from torch.utils import data
from torch.utils.tensorboard import SummaryWriter
import torch_geometric as pyg
from tqdm import tqdm # type: ignore
from ogb.linkproppred import Evaluator
from ... |
16296b04772fe27f462b4a319fbec806180fc729 | 448d5e28ed28b310527b87dc4fd77c8953ce623c | /CP/Keteki Quick Match 8/p2.py | 0180c396d401320f98f4178d3463146fbcd35323 | [] | no_license | sakshamjn/algorithms-in-python | 7f76c65208b4a52373ce4e4e206b31c77753b0fe | b37bf08c7ac736ab3db0e3c1b6dddda51c3ae015 | refs/heads/master | 2020-03-31T22:56:05.409621 | 2018-07-17T10:18:34 | 2018-07-17T10:18:34 | 152,636,174 | 1 | 0 | null | 2018-10-11T18:19:43 | 2018-10-11T18:19:42 | null | UTF-8 | Python | false | false | 716 | py | p2.py | import math
def readInts():
return list(map(int, raw_input().strip().split()))
def readInt():
return int(raw_input())
def readIntsindex0():
return list(map(lambda x: int(x) - 1, input().split()))
def readStrs():
return raw_input().split()
def readStr():
return raw_input()
for __ in range(readInt())... |
f58aa972cde2b66001e13e8b921bcb5597a3d8cd | 3afe8e5250fee124beb6d475ad2488729bdc49fa | /modules/marketplace/templates/apps/frappe/admin/fabfile.py | a4657b8503f59e8368dde29c145a6cbbf15ca5f7 | [] | no_license | mozilla-services/svcops-puppet | 2a59b13f23230cfbee37b1086b12cf28d1d58bdc | 7976468dc920ff29ba1a79f4da4c31cddd7b8d65 | refs/heads/dev | 2021-01-10T18:51:01.747574 | 2015-10-09T19:15:48 | 2015-10-09T19:15:48 | 10,369,937 | 1 | 3 | null | 2019-03-28T02:24:41 | 2013-05-29T21:33:43 | Ruby | UTF-8 | Python | true | false | 2,682 | py | fabfile.py | import os
from os.path import join as pjoin
import fabdeploytools.envs
from fabric.api import env, lcd, local, task, execute
from fabdeploytools import helpers
import deploysettings as settings
env.key_filename = settings.SSH_KEY
fabdeploytools.envs.loadenv(settings.CLUSTER)
SCL_NAME = getattr(settings, 'SCL_NAME',... |
a1660499fe8e3d888a8c735afa44198da0a51b1d | 33c97317edb079f47e1e79cd0624aeab4cb9c558 | /predictions.py | 6e3f536b73032bd0f6b5626e113e2faa2818628a | [] | no_license | shivam6328/NewsProject | a648da3db9c412bce5b0007204333a7ec963b8dc | 7d12d40da40c2f351fae8720874ed4be2945e17e | refs/heads/master | 2023-01-29T11:28:53.044248 | 2020-12-13T07:38:56 | 2020-12-13T07:38:56 | 288,627,874 | 0 | 1 | null | 2020-10-16T13:57:47 | 2020-08-19T03:51:51 | TypeScript | UTF-8 | Python | false | false | 1,412 | py | predictions.py | import numpy as np
import pandas as pd
import keras
from keras.models import load_model
from keras.preprocessing.text import Tokenizer
from keras.preprocessing import sequence
from keras.models import load_model
filename = "News_Category_Dataset_v2.json"
df = pd.read_json(filename,lines=True)
#TextCNN=load... |
b41ff0df324ecfd312717a2526b611566f3a763c | 84d9055adb9f32b160b3f5171dd5ea3d3af8197c | /cluster.py | efe76893e0c61fde140e046b59fac9c1d500999e | [] | no_license | lucasjuliano/brazilian_school_clusters | 8d8dccf22c61dd01f048b1bc719b41fc28add3b7 | 2b44eccae4f22048b350e51b84a8c71f9e282b06 | refs/heads/master | 2020-04-06T23:23:03.147477 | 2019-04-07T18:25:07 | 2019-04-07T18:25:07 | 157,867,056 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,668 | py | cluster.py | # Dependencies
import pandas as pd
import numpy as np
import collections
from sklearn.cluster import KMeans
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import MinMaxScaler
import seaborn as sns
import matplotlib.pyplot as plt
#Função recebe número de clusters e retorna um dataframe com os... |
4ccbb9dcf46cbbfe9130ed6d6e82c371746f5871 | 1a5e022f52c007a070b39300e37e1d7f62bb24ce | /23-FuncioneReduce.py | f93013b5bbfdfdb45278c89e2aa26e3dacbaa694 | [] | no_license | ngodoy/learned-python | ba950b16a1d66d16a7c929a12c5f58219cd5386d | 83238f0617b496a6f6cc2da09fe4d1a6b3f15628 | refs/heads/master | 2020-05-16T20:59:41.667455 | 2013-05-02T02:02:03 | 2013-05-02T02:02:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 543 | py | 23-FuncioneReduce.py | def suma(a,b):
return a+b
def multi(a,b):
return a*b
def filtar(a):
return (a=='o')
li =[1,-2,1,-4]
lo =[5,3,6,7]
s ="hola mundo"
print "sin lambda"
print map(suma,li,lo)
print filter(filtar,s)
print reduce(multi, lo)
print "con lambda"
print map(lambda a,b:a+b,li,lo)
print filter(lambda a: a=='o',s)
pri... |
bd77b56018885e22fd22221809053a2d16067981 | cee5def1e698026d43aac4dbd2cc9e0ce343c7af | /funcoes/exercicio3.py | 72b9c2f3631482f6bc38969034b7554758bd72db | [] | no_license | mariaEduarda-codes/Python | ed4ec4701fc45a8d9664472bb12b750f3488d542 | c91fbf49b81af4ab41941c73460bb835b064147e | refs/heads/main | 2023-04-23T10:51:20.893005 | 2021-05-13T04:59:50 | 2021-05-13T04:59:50 | 349,898,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | exercicio3.py | """
Faça uma função para verificar se um número é positivo ou negativo. Sendo que
o valor de retorno será 1 se positivo, -1 se negativo e 0 se for igual a 0.
"""
def verifica(numero):
if numero > 0:
return 1
elif numero < 0:
return -1
return 0
num = int(input("Digite um número: "))
print... |
e4d61e693e7e4b2b0cd45222fd205b142ba56d3e | 23685c9c3b9e31ce3b90c8bb4e7706e143e0c563 | /mySpider.py | 766b2be0e1030c91574845f8e91bcbac99e375d6 | [] | no_license | GitLaDeng/pygame_test | ea78cc3d1b656fc250ba7e6e43afccae6817d7aa | 18592e2c456846d9a68e48ddbde358e681184161 | refs/heads/master | 2020-04-12T09:16:03.690715 | 2018-12-19T09:24:15 | 2018-12-19T09:24:15 | 162,396,946 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,889 | py | mySpider.py | """
"""
import random
import time
import os
import re
from lxml import etree
import requests
# 基础url
BASEURL = 'http://www.jyeoo.com/chinese/ques/partialques?f=0&q=bb552884-64a5-47fd-b70a-d307f4731084~cc998ecf-bf57-430e-8e64-bbd215756604~&lbs=&pd=1&pi=undefined&r=0.7368134808426823'
userAgent_list = [
'Opera/9... |
17d498716f4e674b3760d96597515d5edf780775 | 00c7cc067173bf0b4a0872507b3997624f694325 | /eigen_vectors/scripts/create-random.py | 729d9524e08d8c5a331a730dd44df31b57a86992 | [] | no_license | sateeshperi/snakemake_examples | c3b2f321abb2a38bd05185626e859d264196c23b | 1afc031c19c7a2e99867c68884f9397bcad13622 | refs/heads/main | 2023-01-28T19:36:07.821700 | 2020-12-02T18:37:44 | 2020-12-02T18:37:44 | 316,652,631 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 175 | py | create-random.py | import numpy as np
n = 8
size = 1000
for i in range(n):
random_data = np.random.random((size,size))
savename = snakemake.output[0]
np.save(savename, random_data) |
e435e0ec3ca5fb9d3de15a24864b490bd7aa265a | a788de741e3f5875797a8b5b545e50f02699f6d6 | /crawler/refactor_crawl.py | 421485b630584b20f0903e8ca90788e5c8fff5e0 | [] | no_license | kcy13930/Ontheway | 6d736b21a2146e2e9d4b3261bd040856d3f49427 | 3139492edbb1c620e113b39b80b0c204fbc9584d | refs/heads/main | 2023-02-20T23:32:51.570767 | 2021-01-14T12:14:03 | 2021-01-14T12:14:03 | 328,366,310 | 0 | 0 | null | 2021-01-10T11:25:37 | 2021-01-10T11:25:36 | null | UTF-8 | Python | false | false | 6,512 | py | refactor_crawl.py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 13 22:50:36 2021
@author: 170544
"""
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
import glob, os
import pandas as pd
class Crawl_tripadvisor():
def __init__(self, url, options, path):
self.url = url... |
465e8fdefcee892bf46d41803ca730248cb73ff0 | f190d3b0ebb534dc533ea0df8c5fdc568c96c4e0 | /Fundamentals/test/bai2.py | 2971f220e3b5837c7d8d830b27245eebcfb7b72f | [] | no_license | dothinhung/review_C4E19 | 7a15fb3b56964eab9fb03b270eb30259bcb2d923 | 2608f40ab80ef0c15b5a338e6867eb9f001d5381 | refs/heads/master | 2020-03-27T03:39:47.212956 | 2018-09-04T12:26:56 | 2018-09-04T12:26:56 | 145,879,390 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | bai2.py | numb = input("Nhập vào 1 dãy số: ")
li = numb.split()
print("Trong dãy số: ")
print(*li, sep=", ")
print()
print("Có những cặp số sau có tích bằng 128 : ")
for i in range(len(li)):
for j in range(i, len(li)):
res = int(li[i]) * int(li[j])
if res == 128:
print("{0} và {1} tại vị trí số ... |
4d6ebd33c9251c99b4cef39b8c557265e67a38e1 | edbd725247d3c30b94febd06f66545db59fd4463 | /tests/test_train.py | e0b8a968ce2e2410f07c86c76699cf0b2091a508 | [] | no_license | Alhuin/linear_regression | fb9b6dff05152ccc11b90bf52a6d7ff686bb9a13 | 9d093daeed4d287061da2c344b40b2b7ed571b76 | refs/heads/main | 2023-08-15T23:43:08.814886 | 2021-10-17T13:08:58 | 2021-10-17T13:08:58 | 387,826,862 | 0 | 0 | null | 2021-10-17T13:06:47 | 2021-07-20T14:58:15 | Python | UTF-8 | Python | false | false | 4,890 | py | test_train.py | import csv
import os
import pytest
from linear_regression.train import parse, export_globals, grid_search, main
from linear_regression.models import LinearRegression, DataSet
thetas = "data/thetas.csv"
def test_parse_no_args():
args = parse([])
assert args.scale == 'standardize'
assert args.visualize is... |
04c91d64636a1605d5aa89ebfa55fc3a11694f07 | 634a6e7b03af97a0dc1a4bbf9fe7b25311a8a2e0 | /pacman-contest/expectiNegamax.py | 755ac35fe78b550272febad165623f041b4c203f | [] | no_license | keep-anonymous/comp90054-pacman | 058739399f619056c0769b4eedddbc3a1f5601cd | 18074b79129f52c3a92e2c4053d937bd119034b3 | refs/heads/master | 2022-05-17T13:40:28.283179 | 2019-10-01T01:49:07 | 2019-10-01T01:49:07 | 211,990,071 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,495 | py | expectiNegamax.py | # myTeam.py
"""
The author of agents is Yufei Gao
This is the 3rd version for agents using expectiNegamax search, which is a variant
of minmax algorithm.
"""
# ---------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
... |
019a08922b1461e6af4d6fafa027c857ec92758d | 2759cffcc9709cf127400332c052711e4de966d1 | /backend/modules/errors.py | 9230936ec3d18a8ef0f853126a323b4b3e4e2de6 | [
"MIT"
] | permissive | miversen33/ProjectPsittacosaurus | 5017391047e3c60c118e3e8d8108782162473ee9 | 0a97586a914e260b8570a10d0ab53ca73e2e9250 | refs/heads/main | 2021-06-13T06:04:36.590015 | 2021-03-13T20:58:03 | 2021-03-13T20:58:03 | 163,046,641 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 424 | py | errors.py | class AuthenticationError(Exception):
def __init__(self, message='', *args):
super().__init__(args)
self.message = message
class ParseError(Exception):
pass
class InactiveUserError(Exception):
pass
class OverFreeLimitError(Exception):
def __init__(self, user_id, *args):
messag... |
bbf967db3c89e9e797b63e24f84b0e06412d91ae | eff23058a3658160d798c439cb0187c3bb0a160b | /user_code/lang_reducer.py | a61ddf66a0aa6c6a2843d28aa4c6779a9f299774 | [] | no_license | slipstreamJumper/twitter_feature_extract | df519463fdaf3836458489ac7c2201b3066c8f83 | 06d9c1365390843f461a114feea8d718b05105bb | refs/heads/master | 2020-12-06T17:49:45.006970 | 2016-09-02T13:29:45 | 2016-09-02T13:29:45 | 67,224,240 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 814 | py | lang_reducer.py | #!/usr/bin/python
import sys
langTotal = 0
oldKey = None
# Loop around the data
# It will be in the format key\tval
# Where key is the store name, val is the sale amount
#
# All the sales for a particular store will be presented,
# then the key will change and we'll be dealing with the next store
for line in sys.st... |
883acd8ded4efadc6ab4c88e8bbb90fd1cf2b940 | 83fbd1736aa69e23c0ef66f61a89192a2f553de4 | /shell_sort.py | 25bcb877e446b2c3860ba6eef6e1d0162a5dac67 | [] | no_license | brennobrenno/data-structures-and-algorithms-python | d3eafc275ee042f190760a37205e415ba1079a81 | 08a4f5d5cdbb26371ebff088faf25eee63dc9b4d | refs/heads/master | 2022-01-05T19:06:04.650022 | 2019-05-06T03:03:25 | 2019-05-06T03:03:25 | 167,302,572 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | shell_sort.py | def gap_insertion_sort(arr, start, gap):
for i in range(start + gap, len(arr), gap):
value = arr[i]
pos = i
while pos >= gap and arr[pos - gap] > value:
arr[pos] = arr[pos - gap]
pos -= gap
arr[pos] = value
return arr
def shell_sort(arr):
sublist... |
a3f20fbd2ad9dbce59bf99cd51cf7aece34d18a0 | ffe23a787537b9706c9ec4d5f7f6ada44ca658f5 | /monkey_eatpink.py | 256f0753ffd489d64d8bf5dfb36fc7f7ea4d8e9f | [] | no_license | zhouli01/python_test01 | cf966d8d16167f3ab752254d66cef8a94663bbdf | 658d69d33b8255d612ff79e1df0ffe734d8971bd | refs/heads/master | 2020-03-07T03:15:33.608727 | 2018-04-21T03:47:06 | 2018-04-21T03:47:06 | 127,231,004 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 702 | py | monkey_eatpink.py |
# x=1
# for i in range(0,9):
# x =(x+1)*2
# print ("总数:",x)
# coding:utf-8
# 猴子分桃，最少问题分析：问最少有多少只桃子，则岸上最后剩的桃子数目越小，则原岸上的桃子越少
# 假设最后岸上还剩4x只桃子,可以利用递归方法求解
num = int(input("输入猴子的数目:"))
def fn(n):
if n == num:
return (4 * x) # 最后剩的桃子的数目
else:
return (fn(n + 1) * 5 / 4 + 1)
x = 1
wh... |
0c5af6e9a5c33b593aea44d5672f5bf73a6055df | ab7b5483cd89b44d2285715931f8ba34add87e4d | /nist-privacy-framework/importer.py | 22a364825bb3d63da96707c493d30d9d10285c38 | [
"MIT"
] | permissive | syllogy/atlasify | 6be9a22c411b702e0689ab7aa920e6244fcdaeae | 8aa98eb39238fb40bbcb7c72c0c59a610744cf6b | refs/heads/master | 2023-08-18T13:40:46.697996 | 2021-10-26T14:57:15 | 2021-10-26T14:57:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,660 | py | importer.py | #!/usr/bin/python
# This code sample uses the 'requests' library:
# http://docs.python-requests.org
import requests
from requests.auth import HTTPBasicAuth
import json
import argparse
class Logger:
OK = '\033[92m'
WARNING = '\033[93m'
ERROR = '\033[91m'
END = '\033[0m'
# setup parser for command line ... |
fcc0bb0f810f88acd417ffa31d451b0151fa2372 | a8ceaf6ea128e88dbf4de47c89dac0a647e0151b | /video_datasets_api/ucf101/video_id.py | 4dd91b0095ee2be449d2b239aafeb63b28502e51 | [] | no_license | caiqixuan/video_datasets_api | 6599d2eac1ac8cb22ecef733bf936a102f0eed39 | 1a6fa5a81c9ddd826ce7cdb790b1fd83b5daeaa8 | refs/heads/master | 2023-06-15T08:28:19.333877 | 2021-07-11T19:57:11 | 2021-07-11T19:57:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,030 | py | video_id.py | import os
def get_unique_video_ids_from_videos(videos_dir: str, search_dirs: bool = False):
videos_dir = os.path.join(videos_dir, '')
video_list = []
video_path_to_ids = {}
current_video_id = 0
for root, dirs, files in os.walk(videos_dir):
dirs.sort()
files.sort()
if search... |
1dc249773168ced40cb3f089d558c3f0c40640bf | 26275d7dd634cbbe78793583a4bcf8b1e991d7e0 | /django/django_project/air/views.py | 1e8b2f7d96e39af87f83a2f3612b4f2a0e5e9ea1 | [] | no_license | alan924/WeatherMonitoring | 16e6f102500925b69b9a6c2ce48d4ece35cbfc7d | dc61c6844e4bc7cb3730b01069b0601c431d6f61 | refs/heads/master | 2020-05-15T13:10:59.386724 | 2019-04-19T16:14:18 | 2019-04-19T16:14:18 | 182,290,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,253 | py | views.py | #-*- coding:utf-8 -*-
from django.shortcuts import render, render_to_response
from django.http import HttpResponseRedirect
from django.http import HttpResponse
from django.conf import settings
from django.utils import timezone
from django.views.generic.list import ListView
from django.views.generic.detail import Detail... |
51701d667a6c58a776dccf6cb2ae57458a203674 | 09cde88829fb20fcecab05cd70104f84aa05e834 | /Searching/dfs.py | ea1191e2cae63df2353ddf5f3cf6fdcab26ce0e3 | [] | no_license | vinod-designer1/competitive-programming | 7cb933335c28dc0be7df20a6c9b0270d350968d9 | 01ed76cdedbcce8dfdb45e29ead9672657d41c8c | refs/heads/master | 2021-01-19T17:17:33.646872 | 2014-09-03T13:50:18 | 2014-09-03T13:50:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 510 | py | dfs.py | def DFS(adjList, st, V, E):
parentV = []
distV = []
colorV = []
nextV = []
processed = []
for i in range(V):
parentV.append(-1)
distV.append(0)
colorV.append(False)
processed.append(False)
nextV.append(st)
time = 0
while nextV:
crv = nextV.pop()
colorV[crv] = True
distV[crv] = time
#proces... |
dc8928c2fb41e4584c953d0da51e76b74fafe412 | f0a7c64a9f5aa1516735648ccc72f531cebbd137 | /addRecord.py | bf4193896fbe24bfcbe1b397c37fb0987992c633 | [] | no_license | Jacob-Stahl/swe-project | 8a5c8e73efe1940b2fe745f2cd6eb33556b322a9 | 6db29182063236e78fe4fb7fa2057fbe15b20c75 | refs/heads/main | 2023-01-22T21:07:51.570976 | 2020-11-29T01:12:58 | 2020-11-29T01:12:58 | 312,145,561 | 0 | 0 | null | 2020-11-29T01:06:46 | 2020-11-12T02:26:27 | Python | UTF-8 | Python | false | false | 3,741 | py | addRecord.py | # Adding support for python 2 & 3
try:
# for Python2
from Tkinter import *
except ImportError:
# for Python3
from tkinter import *
import tkinter as tk
import tkinter.messagebox
from DBInterface import *
# tkinter window
class App:
def __init__(self, master):
self.master = master
... |
3f3ed0165120dc135a4ce1f282dbdf9dad57adf8 | e0371608014c77d02915411ec6f5a584f566db4f | /DAPOS/settings.py | 06ef2311013adbb15bc2ea132b69827788ab8090 | [] | no_license | myaser/DAPOS | a5a775d2f36f2f598485790933f3d603ff461060 | 5e715a7770f6a0130ca18afd09332da70eb2def7 | refs/heads/master | 2020-04-06T07:09:47.320775 | 2013-10-26T14:49:35 | 2013-10-26T14:49:35 | 11,812,360 | 4 | 4 | null | null | null | null | UTF-8 | Python | false | false | 5,647 | py | settings.py | # coding: UTF-8 -*-
import os.path
PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
EMOTICONS = {
"O:)": "angel",
"o:)": "angel",
"O:-)": "angel",
"o:-)": "angel",
"o:-3": "angel",
"o:3": "angel",
"O;^)": "angel",
">:[": "annoyed/disappointed",
":-(": "annoyed/disappointed... |
3cc894570189fe545f5db3150d0b69c16dc211dc | c99d900df7c90c9fa095a871457f4bd73cf424f9 | /player.py | 192a385be87ad1a018e635e7f9bd53d5739a5520 | [] | no_license | pratikpv/pyTicTacToe | b4ba8f8f9cd54ffd6e966e6721fe3b9390ca9b3a | 538799f1c900a6a78322b66921b215da48da4ee7 | refs/heads/master | 2020-08-10T05:58:26.472902 | 2020-08-04T04:20:29 | 2020-08-04T04:20:29 | 214,276,009 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | player.py |
class player:
def __init__(self, name: str, symbol: str):
self._name = name
self._symbol = symbol
def decide_next_move(self):
"""
Checks all possible combinations to decide best next move
:return: board position
"""
pass
def get_next_move(self):
... |
3f8b8b8cfbe712f09734d0fb7302073187d65a73 | 4d8b1f901c62bbc1eeef673bf97e014d413663f2 | /GeneralCode/Sort/insertionSort.py | 616f995f568ddc186d0e4e56d0ac6c54d1a5709a | [] | no_license | nikhilcusc/HRP-1 | 995e1a0ec84d523221ed1f9ce4498192cc56e15a | f527a354589147dcb054fb83fe4474c70ed039aa | refs/heads/master | 2021-05-21T07:57:24.453333 | 2020-06-20T22:33:02 | 2020-06-20T22:33:02 | 252,609,981 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 994 | py | insertionSort.py | '''
def Sort(a):
i=1
while i<len(a):
j=i
while j>0 and a[j-1] > a[j]:
temp = a[j-1]
a[j-1] = a[j]
a[j] = temp
j-=1
i+=1
return a
'''
def Sort(a):
i=1
n=len(a)
while i<len(a):
j=i
print(i-1,'\t',i)
whi... |
e95de58828c63dc8ae24efff314665a308f6ce0c | dcd0311b06d9d271555c072567c3f620d6771768 | /backend/project_azucena/modules/assistants/migrations/0001_initial.py | 46a5205d4bf5dad6fb46309febe48bde728e63eb | [] | no_license | RootDevOpsI/devfmexico | 774353a92b585ed3ea2eb742160687d33a999134 | 4b7ea3e03e85652dbcbe2d963e58bbc0c0b125d6 | refs/heads/master | 2021-05-06T11:49:05.550757 | 2017-12-15T03:17:48 | 2017-12-15T03:17:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,042 | py | 0001_initial.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-13 02:06
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
('stores', '0001_initial'),
... |
a406efcab62b2af67484da776f01fc4e6d20b697 | b5887d5e68cfee0e967c6bf7235dd07797518b2e | /Two_Number_Sum.p1/answer/sol_1.py | 0c6c977016d63a8d83111e43f31fe6c44c9aa28b | [] | no_license | 1dpiho0120/tibame_python_practice | fd434eadbdb719205695af3219c968a764e86e00 | 0e930eef2fef9e064082da793129066ff9e18ee4 | refs/heads/master | 2022-11-24T13:48:02.165162 | 2020-08-05T07:50:57 | 2020-08-05T07:50:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 948 | py | sol_1.py | #!/usr/bin/env python3
def twoNumberSum(array, targetSum):
# Write your code here.
# O(n^2) time | O(1) space
''' Double for loop, quadratic run time
No variables increase as the input size increases,
therefore constant space complexity.
'''
for i in range(len(array) - 1):
firstNu... |
d265781c6b618752a1afcf65ac137052c26388a6 | 3f2443dba35c42a296ffaef72c731f33c4892d07 | /analysis_scripts/001_other_predictions.py | b52fd1e7ae9393858f1f363bb99f9111973da547 | [] | no_license | tommylees112/esowc_notes | 7cde6a373211647447084789fbee2597d81c0ce8 | 2a39c5c20ed50f3194ebb95aba720e48215c0dfd | refs/heads/master | 2021-06-21T17:07:33.663693 | 2021-01-28T18:34:58 | 2021-01-28T18:34:58 | 184,609,893 | 3 | 0 | null | 2019-05-26T19:49:30 | 2019-05-02T15:54:31 | Jupyter Notebook | UTF-8 | Python | false | false | 742 | py | 001_other_predictions.py | import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pickle
import seaborn as sns
%load_ext autoreload
%autoreload 2
%matplotlib
data_dir = Path('/Volumes/Lees_Extend/data/ecmwf_sowc/data/')
# READ in model (maybe want to do more predictions on historical data)
from src.m... |
15edb1c051ccbc6f927c0a859288511f94a3d853 | 4a9f0a430a0d4930ec13db07011bceaefdfaaaad | /dbt-env/lib/python3.8/site-packages/mashumaro/serializer/yaml.py | 03c4c76d4241042c7b99f66ea49826bfd1f493e0 | [
"Apache-2.0"
] | permissive | akarve/dbt_salesforce | 4dbb152b400d842c8018deefbc822c270c8923aa | 83550a55034de3c6e380334e62ae103dfba4bedc | refs/heads/master | 2023-08-24T19:50:15.128086 | 2021-10-06T20:59:32 | 2021-10-06T20:59:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,373 | py | yaml.py | from types import MappingProxyType
from typing import Any, Dict, Mapping, Type, TypeVar, Union
import yaml
from typing_extensions import Protocol
from mashumaro.serializer.base import DataClassDictMixin
DEFAULT_DICT_PARAMS = {
"use_bytes": False,
"use_enum": False,
"use_datetime": False,
}
EncodedData = ... |
274185896ab5c11256d69699df69fc2c0dde4f2d | 127f4d366646f15b0c5f24717c53a6b60b68acef | /extract.py | 776222304e436ee2c38cc144ba9ccad157a094c2 | [] | no_license | otech-nl/meteor-packages | 625c443d3b97ac020d6b2c155df692bd773b8d34 | 82ed65ebb19f6dd92efd62e307f05409c0485075 | refs/heads/master | 2021-07-18T08:35:12.081299 | 2017-10-27T09:05:46 | 2017-10-27T09:05:46 | 108,447,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,474 | py | extract.py | ''' extract package names from the Meteor guide and write them to packages-guide
Uses the content folder of https://github.com/meteor/guide '''
from collections import defaultdict
import os
import sys
import markdown
from bs4 import BeautifulSoup
def get_links_from_markdown(path, name):
try:
with op... |
21e86e4719cda5c40f780aca6e56eb13c8c9b8e5 | 8e41486d690d545b8049200da9f8499ebff5867d | /src/pds/roundup/step.py | 22aa0d60c43ab154a0921723af228ae7b1b74168 | [
"Apache-2.0"
] | permissive | nutjob4life/roundup-action | 3ac334bef0b28511e29f0df0af4225327374063c | 6e0c99e9ebe08fd5f7c43e7bb1e25cca09b562f6 | refs/heads/master | 2023-03-09T11:49:29.960464 | 2021-01-10T19:46:04 | 2021-01-10T19:46:04 | 301,764,680 | 0 | 0 | Apache-2.0 | 2020-10-06T15:02:49 | 2020-10-06T15:02:48 | null | UTF-8 | Python | false | false | 6,186 | py | step.py | # encoding: utf-8
'''🤠 PDS Roundup: A step takes you further towards a complete roundup'''
from enum import Enum
from .util import commit, invoke
import logging, github3, tempfile, zipfile, os
_logger = logging.getLogger(__name__)
class Step(object):
'''An abstract step; executing steps comprises a roundup'''... |
333914f99face050376e4713ca118f2347e50018 | 09b96768cc38e89baa39744a7294f4dd1d74a3cb | /sandbox/staticpages_testapp/base_urls.py | e9337d108cdca331044d1f1f26fd93d939ed24e3 | [
"MIT"
] | permissive | emencia/emencia-django-staticpages | e3241b2cf4395694d4f2d833d4c3dc931ece86a6 | eca13c2f4340d44ec914b51ed225527e9369d591 | refs/heads/master | 2022-09-26T12:38:07.979164 | 2022-09-18T20:33:22 | 2022-09-18T20:33:22 | 21,673,318 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | base_urls.py | """
URL Configuration to test mounting created urls from registries
"""
from django.contrib import admin
from django.urls import include, path
from staticpages.loader import StaticpagesLoader
staticpages_loader = StaticpagesLoader()
urlpatterns = [
path("admin/", admin.site.urls),
# Add base pages urls usi... |
718c9bc0e52c73ddbde2cb07c9f4c1388c6b18b0 | 6810a482759afd585db7bb0b85fd0416f0450e6d | /Open Kattis/eulersnumber.py | 4dcfe83b0aa7cc6d0c675449acbb08d734ad861a | [] | no_license | BenRStutzman/kattis | 01b000ac2353c8b8000c6bddec3698f66b0198ef | 005720f853e7f531a264227d0d9aaa19d4d7cf1b | refs/heads/master | 2020-07-15T23:52:45.785021 | 2019-11-09T03:28:06 | 2019-11-09T03:28:06 | 205,675,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 203 | py | eulersnumber.py | import math
def main():
N = int(input())
if N > 20:
print(math.e)
else:
e = 0
for i in range(N + 1):
e += 1 / math.factorial(i)
print(e)
main()
|
6acc4ff67a33a7a48c3b04fb2420708e5c7a574e | 34b64b530c63c29643bc1ab4312ae70ae218e668 | /board_evaluator.py | 781a8a6467dff6beba1837685b97f2ab2f377945 | [] | no_license | statemachine/Tic-Tac-Toe | 88f8f96b77cbf017f4859be6062e5904ffcf3c48 | 4e63409a61ddaba0dc87c14eefcc43a027f74cad | refs/heads/master | 2021-01-21T00:00:52.078426 | 2011-05-28T03:11:54 | 2011-05-28T03:11:54 | 1,805,747 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | board_evaluator.py | def detect_win(board):
#check for horizontal win
for y in range(3):
player = board[y][0]
if player != 0 and player == board[y][1] and player == board[y][2]:
return player
#check for vertical win
for x in range(3):
player = board[0][x]
if player != 0 and player... |
6650e7559cd732c85036d1e023a629b86e23b191 | 6722e5eba85310b405221666b637956d35b9cd97 | /player.py | 7daad7b62e7a2b43d6dfdb5a63ad59ac8116ede2 | [] | no_license | lcsvillela/Passe-dix | 22a226104a6286bf4127521ac01bd669887d40e0 | 588050cc9735e1f4012fa7c998d090402901c859 | refs/heads/main | 2023-08-23T07:22:29.682478 | 2021-10-16T01:03:36 | 2021-10-16T01:03:36 | 417,677,297 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,314 | py | player.py | from dice import Dice
class Player:
def __init__(self, name, quantity_dices=4, turns=100000, games=7):
self.__results = {}
self.__results["wins"] = 0
self.__results["lose"] = 0
self.__results["draw"] = 0
self.__results["name"] = name
self.__results["information"] = ... |
90b681d7c9483245a507ed8bb298f1d2a6394838 | 67f1e732a28eae917ef2f00a8f51e1543ebdcc10 | /TeamA/Unit1/src/U1_1.py | 9e68c48bf73c95412cb6ae8e186d98286a76cfe4 | [] | no_license | maxprofs-llcio/Team-A-NLP | 5e1760d8838093908d07fdfcd2f3010526bb8791 | 264338fef388d8bad7dce07171134674dddd6e71 | refs/heads/master | 2022-06-21T03:37:06.751458 | 2020-05-13T18:18:08 | 2020-05-13T18:18:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,483 | py | U1_1.py | from __future__ import division
from nltk.probability import FreqDist
from nltk import FreqDist
import nltk
import operator
from nltk.book import *
from nltk.stem.porter import *
listOfTexts= [text1,text2,text3,text4,text5,text6,text8,text9]
stemmer = PorterStemmer()
processedWords7 = [(stemmer.stem(wo... |
b58ce42c796b4bf78f46dd97140c28f2dfe5feba | 74bfe8cfb4cfceae2a6d435d692dad1111d34649 | /back/test_data/5_hadoop/hadoop_train_predict.py | 1813bc3fa99b8a3c6a9c88e8c3793f72a38303e6 | [] | no_license | airhandsome/Steganalysis | 5ef974f15573f58301abc80dc61ef9b18ac9207c | 79ddea986b8aaac89b719d3b57c6dfc3f6a3db8f | refs/heads/master | 2020-03-22T17:05:30.624290 | 2018-07-10T03:39:55 | 2018-07-10T03:39:55 | 140,371,965 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,935 | py | hadoop_train_predict.py | # coding=utf-8
# !/usr/bin/env python
import sys
import os
hadoop_cmd="/usr/local/hadoop/bin/hadoop"#hadoop安装目录
data_root="/home/test_data/"
hdfs_root="/user/hadoop/"
def run_hadoopcmd(cmd):
hadoopcmd = hadoop_cmd + " " + cmd
os.system(hadoopcmd)
def get_img_path(local_img_path, local_txt_path,taskid):
... |
8edd4424dac4309051fb57b9a7796d97e46f57c1 | d7a3f059c1a52e2bf2bbb874ed60296433aab56b | /hbi/client.py | f5492eb51cf9c3e0dbf569733d55a42334892ee2 | [] | no_license | jhjaggars/host-inventory | 24e5bd102f081ec8fb5707ff4a6f81dbf23904e7 | aeaa80188108c990c1d63d046ba5b05506969528 | refs/heads/master | 2020-03-25T11:49:27.633975 | 2018-08-17T22:13:54 | 2018-08-17T22:13:54 | 143,750,063 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 600 | py | client.py | import grpc
from hbi.hbi_pb2 import Host, HostList, Fact
from hbi import hbi_pb2_grpc, util
def run():
with grpc.insecure_channel('localhost:50051') as channel:
stub = hbi_pb2_grpc.HostInventoryStub(channel)
for name in util.names():
display_name = "-".join(name)
host_fact ... |
8d9bd1a2448c6154d2d3f56e920d9e3a5b4a2a62 | 70e2567972adfa433648f1c8b85912eb344bfed5 | /app/schemas.py | 4da6342edc1097b813d9b7d31011e177c1c46ead | [] | no_license | vianabcc/bootcamp-demo | c4d60a704d9881a83d2f9ff44fd4659d8fa1e972 | 62709eb282777585fb0c3d8abdb7bcbf6109430c | refs/heads/main | 2023-08-27T16:32:53.339667 | 2021-11-03T12:57:38 | 2021-11-03T12:57:38 | 423,024,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 369 | py | schemas.py | from pydantic import BaseModel
class BaseUser(BaseModel):
email: str
class AddUser(BaseUser):
password: str
class Config:
orm_mode = True
class UpdateUser(BaseUser):
password: str
is_active: bool
class Config:
orm_mode = True
class User(BaseUser):
id: int
is_active... |
d3f8c5e4e079cb7b8f7730bf6484c56e8416e5b3 | d05a99823045efe58142ce031d4c4284a2228391 | /Assembler/Blocks/RandomInt.py | 0e5f949029df7ce90e8cf576c5cb3d12a5e6629f | [] | no_license | IanMatthewHuff/AAAAAA | 635a3b13b65228f167fd3416693686f46b53e4c7 | b5d735752da4db63ed2437910b89f7ae02389390 | refs/heads/master | 2021-07-16T20:50:34.246346 | 2021-03-10T13:12:49 | 2021-03-10T13:12:49 | 21,848,684 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 182 | py | RandomInt.py | def supported():
return ["single_value"]
class RandomInt:
""" Class to supply a single random integer (most to test plugin arch) """
def value(self):
return 1
|
267909e18719f4e1de1988f86b92a9cec059d435 | 43ed419c457ee9eb28be4a30f41dffb6e46f6237 | /instrukcje_warunkowe.py | cfb047c263072035c42e0a911d372e03c745cf60 | [] | no_license | kbajka/test01 | 23ee673844742439093b6693ce3693952a9b9771 | 1b1fea8450ed8d36fe38bade74f269bed0927fcc | refs/heads/main | 2023-09-01T22:16:36.719092 | 2021-09-27T20:08:02 | 2021-09-27T20:08:02 | 408,546,214 | 1 | 0 | null | 2021-09-27T20:08:03 | 2021-09-20T17:53:40 | Python | UTF-8 | Python | false | false | 619 | py | instrukcje_warunkowe.py | liczba1 = 2.01
liczba2 = 2
if liczba1 > liczba2:
print("Pierwsza liczba jest większa")
elif liczba1 == liczba2:
print("Liczby są równe")
else:
print("Druga liczba jest większa")
print("--------")
liczba = (input("Podaj liczbę całkowitą"))
print(type(liczba))
#if type(liczba) != class(int)
# ... |
e0af6e9ef80ace99ea8fb967af84bb5ea4dac8e2 | 6e8c00162af72a10c0e8da52bc2543a9821ab72b | /Tabla_de_5_a_15.py | 32dd27f8b995bd2947795b071ff1c1fd6b04ae55 | [] | no_license | TomasNiessner/Mi_primer_programa | 79485bf574190b47ed701d0cbeb63c0b6243cd86 | ddf82a8aaef47f624cbd190019472c03c71ab532 | refs/heads/master | 2020-05-03T12:17:08.932208 | 2019-10-05T15:08:58 | 2019-10-05T15:08:58 | 178,621,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 300 | py | Tabla_de_5_a_15.py | #Modifica el programa de la tabla de multiplicar para que vaya del 5 al 15 en lugar del 1 al 10.
numero_tabla = int(input("Ingrese un número para obtener su tabla de multiplicación: "))
for numero in range(5,16):
print("{} * {} = {}".format(numero_tabla, numero, numero_tabla * numero))
|