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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d05e122a02664553647074deb6e7d9fd588ebee5 | 4df1982d0fec414fd4729867b8cfc426546ba45a | /bigdata_noahdata/workplace/PythonDemo/com/mypthon/practices/DateTiemeModule.py | 7ecdf273824208d4855f2ae90a80388cfa11f49f | [] | no_license | LakshmiNarasimman/Python-Projects | b8d362995064ec47d4a123dc48be9a4ccc2fd722 | f9c05b2c3759e53c29144cbe7f7a9c81541d688f | refs/heads/master | 2021-08-15T05:45:47.648500 | 2017-11-17T12:19:00 | 2017-11-17T12:19:00 | 111,093,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 374 | py | DateTiemeModule.py | '''
Created on 25-Oct-2017
@author: bigdata
'''
import datetime
from datetime import date
import time
import os
import json
print time.time()
print date.fromtimestamp(time.time())
print date.fromordinal(10000)
currentDate=date.fromtimestamp(time.time())
print currentDate.strftime("%d-%m-%Y")
print os.pardir
print d... |
38c2425961455942dc430559230dfbab8921dc8c | 4c5633934474df54a98d3693f9f6f9282aedfcf8 | /genetic_TSP.py | 88cdc6ddd50001fc891251fc3f185535abba7292 | [] | no_license | naghim/AI_HW_4 | 6d436089cfd1da9bd00ffd3556cf9cffb4ebe86b | 80a81157d0d2e6ef74a0d0197a80bc73131ca1ae | refs/heads/master | 2021-04-18T00:15:45.977749 | 2020-04-04T19:02:58 | 2020-04-04T19:02:58 | 249,488,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,462 | py | genetic_TSP.py | import array
import random
import sys
import multiprocessing
import numpy as np
from deap import algorithms
from deap import base
from deap import creator
from deap import tools
# because we want to minimise the distance we will mark the distance between the same cities with 1000
distance_map = [[1000, ... |
5edf12088e3b2a2a33083af8ca4b429829f475c9 | 7a6e4f5c7ff9e2cab5a7371a952efd99020b6f38 | /ops/move_deps.py | 46234be19b1126c6f088e102a6e6051a2800484c | [
"Apache-2.0"
] | permissive | arunraman/fil_backend | 70a1ddd7ea69d125d80f84f7034de1fe283b3ab2 | 42d93ce1d6f1f71a35432f25e774d882646efd31 | refs/heads/main | 2023-07-07T04:57:46.077858 | 2021-07-30T18:14:10 | 2021-07-30T18:14:10 | 392,106,789 | 0 | 0 | Apache-2.0 | 2021-08-02T22:04:46 | 2021-08-02T22:04:45 | null | UTF-8 | Python | false | false | 3,421 | py | move_deps.py | #!/usr/bin/env python3
import os
import re
import subprocess
import shutil
from pathlib import Path
MISSING_REGEX = re.compile(r'\n\t(.+)\ =>\ not\ found')
FOUND_REGEX = re.compile(r'\n\t(.+)\ =>\ (.+)\ (\(0[xX][0-9a-fA-F]+\))')
def ldd(path):
"""Get output of ldd for given file"""
ldd_out = subprocess.run(... |
505fb9e5d2ab5d8b28869c3d541178202a4159ef | 9d71a1e294ac2507bb5e024476cffc754f2ed2a9 | /fiction/spiders/biquge.py | f9b652e1281379cebdd74afb3ba35c29285c7981 | [] | no_license | 9I-zytk/fiction | 3fb8cf6a84139cf2ce87036a3b52dbadec42cd70 | 2228905ac8dd897d29e6dd8f6a4c3d61ca3e3007 | refs/heads/master | 2020-05-03T02:59:48.837554 | 2019-03-29T10:36:59 | 2019-03-29T10:36:59 | 178,385,792 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,142 | py | biquge.py | import scrapy
from urllib.parse import urljoin
from scrapy.http import Request
from fiction.items import FictionItem, FictionDetailItem
from fiction import util
# from scrapy.loader.processors import MapCompose, Join
from scrapy.loader import ItemLoader
class biqugeSpider(scrapy.Spider):
name = "biquge"
allo... |
9ffab2ba1f922959e344abe0cadbe948316e895f | bba7355232bfed3498b24c5272d561b6dbc8caeb | /skräp/mapper.py | 3d28937c464d50da334b7358b245c17d7c3bbf11 | [] | no_license | mosh98/spark | c73d9f9e19ba7a13929360d6a0390550844c9711 | de8e99e0db20342f8ebb13b631c6ab3ee72f249d | refs/heads/master | 2023-02-14T17:31:59.730676 | 2021-01-06T11:13:47 | 2021-01-06T11:13:47 | 321,952,002 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 640 | py | mapper.py | #!/usr/bin/env python
import sys
# input comes from STDIN (standard input)
""""
What is *MAP phase*?
The map or mapper’s job is to process the input data.
Generally the input data is in the form of file or directory and is stored in the Hadoop file system (HDFS).
The input file is passed to the mapper function line... |
14a23d84ddb928525b19c05e6177694576646fdc | 7b737fac31b928feec9fe0e52839d51ddf85a57d | /game/structure.py | cda1b295f881766008844298cce9d146b45b875e | [] | no_license | mblnv/P3_mac_gyver | 5c1a727045363b72d5d1ab8720dfa06f5a061e2f | f96a4ad6593ff8edeeca51ecf96d622e8d43c59c | refs/heads/master | 2022-06-30T11:21:35.877774 | 2020-05-09T13:55:18 | 2020-05-09T13:55:18 | 262,079,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,032 | py | structure.py | #! /usr/bin/env python3
# coding: utf-8
import os
import random
import pygame
import game.game
import game.items
""" This module creates the skeleton of the game and add visual elements on it.
The skeleton is a structure with a form of a grid in 2 dimensions.
This grid is materialized in a list of lists (ma... |
8d038dcd02978204048e6440d40308500261c57b | 1adac2229e3bdbdaed54569805e7192e04b52536 | /auto_server/rpc_auto_server.py | 7bed64ca979ea356e35d88655e77e77a301c0582 | [] | no_license | Chris19920210/AutoML | 8cfee2562ff30a76486f5344e0daadc9709e8b32 | 88acff29c842f71d2bab7ed4b9c0d162e8d843b2 | refs/heads/master | 2021-04-12T05:17:53.748918 | 2018-03-28T07:09:46 | 2018-03-28T07:09:46 | 125,829,390 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,079 | py | rpc_auto_server.py | import argparse
import configparser
import multiprocessing as mp
from rpc import RpcServer
from utils_rpc import *
"""
The main function launching rpc server
"""
argparser = argparse.ArgumentParser(description='configuration setting')
argparser.add_argument('--basic-config', type=str, default='./config.properties',
... |
20ff36443a726633da98a8f252ff40f6c2f7c13d | 4924beddd2801d29e64abf0d1ad428e82ef33442 | /app.py | 4dfcf1c6620a21e3eab520ecb2717d2d2b826348 | [] | no_license | Safe-ly/Safely-Python-Flask | b3cf0cf762d6db2d3f9af1345a724dd23fe55d32 | 8feb2dd77d646630da608ddfb025356a8df1d843 | refs/heads/master | 2020-08-12T11:05:54.813849 | 2019-10-13T03:47:39 | 2019-10-13T03:47:39 | 214,756,019 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,338 | py | app.py | from flask import Flask, request
from flask_cors import CORS
import pandas as pd
import warnings
import json
warnings.filterwarnings("ignore")
app = Flask(__name__)
CORS(app)
def get_df():
csv_train = pd.read_csv('accidents.csv')
csv_train = csv_train.drop(columns=['target'])
csv_test = pd.read_csv('test... |
80a376341d337aa443381323864fb8412291197f | a65af63a20901f972e4309589171e277f104ea5a | /exchange/model/MarketDataEvent.py | 01bc8ec5cbfe463f70a418094b9a9c09f210c110 | [] | no_license | bradleymiles17/bristol_stock_exchange | 68f848b26e465c66680f522de60a6af0bc538608 | 5fb513908642662d2c5c672dee12a44c5dc4f141 | refs/heads/master | 2020-04-22T16:15:04.144335 | 2019-04-15T11:03:33 | 2019-04-15T11:03:33 | 170,502,093 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,120 | py | MarketDataEvent.py | from typing import Optional
class MarketDataEvent:
timestamp = None
class LastSalePrice(MarketDataEvent):
def __init__(self, timestamp, symbol: str, price: float, qty: int, volume: int):
self.timestamp = timestamp
self.symbol = symbol
self.price = price
self.qty = qty
... |
a45355d073f6595814290cc6bdb95995d253869e | 00e5c456fdfc83dd6314a587ce91ab76f3307378 | /lab2.py | 9c049b5343775cff89693c6810e964db62732e9e | [] | no_license | levYKpi/db_python_postgresql | 07957afe6816217b5ed099bbef5c3d7539cba482 | cb474624a6428e284050a4e80c14971f14c0c316 | refs/heads/master | 2020-06-29T10:43:32.086858 | 2019-08-04T16:06:13 | 2019-08-04T16:06:13 | 200,513,489 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,400 | py | lab2.py | from sqlalchemy import *
from sqlalchemy.sql import select
from sqlalchemy.orm import relationship
import sqlalchemy
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
import psycopg2
# metadata = MetaData()
# it_companies = Table('it_companies', metadata,
# ... |
feb8ed922cb18ca78353d9fc20032692d8491eb3 | 6c0657d7fe12761a7b8ac43949afc697bf673b21 | /StartSecurity/Teclado/ColubridaeFirst.py | cc0a0a31fff266f89f632241c2a5403cead28e53 | [] | no_license | Mephisto-G/Heavensdoor | 23cbe766f9d71b6652a8b4d1734323647ebc2d1e | 38086c77194c12fe2e9640e38f03b46fef888197 | refs/heads/master | 2020-07-10T20:55:57.318199 | 2019-10-14T23:18:37 | 2019-10-14T23:18:37 | 204,369,952 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 368 | py | ColubridaeFirst.py | #Start Security by Link Dragon TM
import json
#Senha
s=[]
senha=s[0]+s[1]+s[2]+s[3]
#LogIn
#Cadastrar Biometria (Kuan, Deprê na Cacahça)
#Integração com o Helix
#Leitura da Biometria (Kuan, Deprê na Cacahça)
#Integração com o Helix
#Senha da Biometria
#Menu de Criar Outros U... |
cca3de39c9c6407b77c4a48b8a9f79dc33430c1c | 3b2f1461ea9e98db978a3824c8c6b937e710f070 | /Metodos/SOR.py | 00e706c6d6aa5adc6cb3f23977ba809f70e0c825 | [] | no_license | josejoab/AlphaNumericApp | 4fddd6a558ccad209dc154518dce41ea227f719b | 3ede26533f361a3484d97d772cf5bec3010d066c | refs/heads/main | 2023-01-19T14:26:02.321607 | 2020-11-25T15:28:02 | 2020-11-25T15:28:02 | 314,080,917 | 0 | 1 | null | 2020-11-25T15:28:03 | 2020-11-18T23:10:41 | JavaScript | UTF-8 | Python | false | false | 1,627 | py | SOR.py | import numpy as np
from scipy import linalg as LA
import pandas as pd
import copy
def sor(A, b, x0, w, tol, Nmax):
results = {}
message = ''
det = np.linalg.det(A)
if det != 0:
d = np.diag(A)
D = np.diagflat(d)
L = -np.tril(A) + D
U = -np.triu(A) + D
T = np.lina... |
f9f070c348258d0de8278222d152d92adf7e71ca | e6273058cc2592342f8972e7c56c978e2b881055 | /dota_chat/migrations/0006_auto_20190830_1721.py | 645117a7c414500d928e92af67978c19ef714b4c | [] | no_license | brojonat/pipe_of_insight | b620a3e6479402d628646d68e0754d0123fd3f8f | 7e8c61a6ac3e042e40652983148f482e075754a9 | refs/heads/master | 2020-07-27T02:11:29.608865 | 2019-11-22T03:24:39 | 2019-11-22T03:24:39 | 208,832,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 757 | py | 0006_auto_20190830_1721.py | # Generated by Django 2.1.5 on 2019-08-30 17:21
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dota_chat', '0005_auto_20190830_1720'),
]
operations = [
migrations.AlterField(
model_name... |
3b3d4d82a1306f52733c1a9e5591844ec4517a6a | 1c7ec2f4011fcd3005cb80a445a15e0f9f9b56bf | /misc/signalCascade.py | bbe596e203fe858ae2c75f9cd9c1bee15d5dc1f7 | [
"BSD-3-Clause"
] | permissive | noukernel/neurokernel | 20b833e2f5c7c96e1026fa3c0b7200a76ea9e9e9 | e9d4fd6d4c634727afb53af52a016a70e69013ab | refs/heads/master | 2021-01-21T21:15:29.572360 | 2014-05-14T16:24:22 | 2014-05-14T16:24:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,168 | py | signalCascade.py | import pycuda.autoinit
import pycuda.driver as drv
import numpy
from pycuda.compiler import SourceModule
import random
mod = SourceModule("""
#define Kp 0.3
#define Kn 0.18
#define mp 2
#define mn 3
#define m 2
#define hM 40
#define hPLC 11.1
#define hD 37.8
#define hTpos 11.5
#define hTneg 10
#define ArateG... |
41b3837dfe6eac489cb5a18bbcd57fd1ad8b9ebf | a1a43879a2da109d9fe8d9a75f4fda73f0d7166b | /api/tests_v2/while_loop.py | bba3b22d0ff9753ac686a20aa6c984a4cd727040 | [] | no_license | PaddlePaddle/benchmark | a3ed62841598d079529c7440367385fc883835aa | f0e0a303e9af29abb2e86e8918c102b152a37883 | refs/heads/master | 2023-09-01T13:11:09.892877 | 2023-08-21T09:32:49 | 2023-08-21T09:32:49 | 173,032,424 | 78 | 352 | null | 2023-09-14T05:13:08 | 2019-02-28T03:14:16 | Python | UTF-8 | Python | false | false | 3,709 | py | while_loop.py | # Copyright (c) 2020 PaddlePaddle 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 app... |
0f35079d9a6e880133740d3005e79fe81cf96b78 | 6bc5ad10947b60151051813e2d2653d591876863 | /vision-hw2/tryit.py | c9c7167e40dd3de869b4d3f7fe23727f3990b6cb | [] | no_license | ashnaider/Computer-Vision-course | 1ba6468085ba251837ca22301afdefe0f3387dcd | c0a74e6fe5d2fdd82a1be537560af15b700707bb | refs/heads/main | 2023-06-29T19:49:40.642742 | 2021-07-22T16:28:27 | 2021-07-22T16:28:27 | 388,524,204 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,227 | py | tryit.py | from uwimg import *
# im = load_image("data/dogsmall.jpg")
# a = nn_resize(im, im.w*4, im.h*4)
# save_image(a, "dog4x-nn")
# b = nn_resize(im, 713, 467)
# save_image(b, "dog_custom_size")
# im = load_image("data/dogsmall.jpg")
# a = bilinear_resize(im, im.w*4, im.h*4)
# save_image(a, "dog4x-bl")
# im = load_image("da... |
3347b48d448221987dacacf858603d96e6f9f63a | 373e1ef47138e739ed7a3f2a2df26d0ffadb7c1a | /create_input_files_f30k.py | 7a7285ce8d02c75ac16c91a9efed8ef3f391f81e | [
"MIT"
] | permissive | sulabhkatiyar/show_tell | dd0a7b99409342a519179d5c1af5980ea546e494 | 995fa806ff7bb74d4fb12a40122d6556994f5cbd | refs/heads/main | 2023-04-10T07:30:06.581018 | 2021-04-22T17:24:09 | 2021-04-22T17:24:09 | 340,899,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 705 | py | create_input_files_f30k.py | from utils import create_input_files
"""
To create files that contain all images stored in h5py format and captions stored in json files.
Minimum word frequencies to be used as cut-off for removing rare words to be specified here.
"""
if __name__ == '__main__':
create_input_files(dataset='flickr30k',
... |
cdbda449fa4f233026df1e70a037ed711cf3ecba | 599f81f54041012a8e30845b376c9651f535f479 | /face_rec/file_handler.py | b3378ba110e8f7fdaa347834fd75c34086a97e57 | [] | no_license | gaborgulyas/recognEYEz | dd916754d8f87e3e2629a493cb6e9f33a4ce719d | 3c02793e4cc070668e8f965c03f20a9a338a92f5 | refs/heads/master | 2020-04-30T22:19:39.221959 | 2019-05-14T19:07:38 | 2019-05-14T19:07:38 | 177,115,800 | 0 | 0 | null | 2019-03-22T09:57:23 | 2019-03-22T09:57:23 | null | UTF-8 | Python | false | false | 2,880 | py | file_handler.py | import os
import sys
from shutil import copyfile, rmtree, move
import glob
from imutils import paths
class FileHandler:
def __init__(self, stat="Images"):
self.main_image_folder_path = os.path.dirname(sys.argv[0]) + "/" + stat
def get_all_dnn_pic_name_for_person_name(self, name):
... |
f864767e775aa6fd1d5a7501ea9aaa0b7a2a7498 | 57f1c75c92e83f13e8016cdf505c20771f35ed8c | /Task3.py | 2f6d38dc8098832bb1731461c4f6caff5bd63cc1 | [] | no_license | anilmndl/algo_p1 | c6af81140e0b1763b5e4f4dde9593bf0d2e8c1ce | 22f7f98615633a18ed9bd520497e53eeaf77c0fb | refs/heads/master | 2020-12-20T11:02:34.388019 | 2020-01-24T17:40:52 | 2020-01-24T17:40:52 | 236,052,059 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,483 | py | Task3.py | """
Read file into texts and calls.
It's ok if you don't understand how to read files.
"""
import csv
with open('texts.csv', 'r') as f:
reader = csv.reader(f)
texts = list(reader)
with open('calls.csv', 'r') as f:
reader = csv.reader(f)
calls = list(reader)
"""
TASK 3:
(080) is the area code for fixe... |
5631a251bec5120a39f78c1ca2602a4bf7cac9d6 | 723142b29dfcafb393b0eaefb8936dff7dd7e744 | /utils/applications.py | 71f7f0db9e38e68d5901cc777f637376d9cb1a91 | [] | no_license | ehazlett/lightrail | e73aa1bab2b360b314969dd522348e5a0c96c6b9 | 063be3ec00880b4d748aab3f7b8342026deba500 | refs/heads/master | 2020-04-15T17:45:01.383724 | 2012-03-31T02:45:05 | 2012-03-31T02:45:05 | 2,777,610 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,242 | py | applications.py | import zipfile
import tempfile
import os
import shutil
import logging
import subprocess
from config import create_app
import time
import pwd
from queue import task
try:
import simplejson as json
except ImportError:
import json
from utils import generate_uwsgi_config, generate_nginx_config
app = create_app()
c... |
32056421f41681a6390302aa150c6a27ca8c98d6 | 43fa2796c310937c038411407123bdae3de7789a | /extdirectrpc/views.py | 42a238a7ce7724c3e6cff3fa5c743769bec657b3 | [] | no_license | maxvyaznikov/extdirectrpc | 60f2759ec05d352e9e4326b49d557ca950895694 | 52130a7c260cfc911c347ae70f53414e2f4b9663 | refs/heads/master | 2021-01-22T08:59:51.654466 | 2013-04-16T11:14:13 | 2013-04-16T11:14:13 | 9,466,059 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,692 | py | views.py | # coding=utf-8
'''
Copyright 2012-2013
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, so... |
21004f6ff397e3132f6645217aab86c05be0ab95 | 06bb61c4d07a2be753b46977f2307f04aef6e2d3 | /greedy/bag.py | 677e2d892bf56e520fa5ba9ea8efe1085268df2a | [] | no_license | Pengjp/lc | 2f8ab34e4a902caac320052037b53347a32d0006 | 1680b1c1d58ccdfb3d311716f61926b3e2b9755f | refs/heads/main | 2023-06-01T09:19:36.935023 | 2021-07-11T19:59:35 | 2021-07-11T19:59:35 | 358,338,542 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,255 | py | bag.py | def process(w,v,index,already,bag):
if already > bag:
return -1
if index == len(w):
return 0
p1 = process(w,v,index+1,already,bag)
p2next = process(w,v,index+1,already+w[index],bag)
p2 = -1
if p2next != -1:
p2 = v[index] + p2next
return max(p1,p2)
w = [1,3,5]
v = [1,... |
95d864033d9df8651d64deb2dcaba14af2cd9f23 | b1f70485bb2f64389f1fe58584d70ae6f63fe655 | /hashing/hashing.py | 45e1e35dec825ca18ae7e99999b2b3621bfee2af | [] | no_license | nesteves/ctds | 69b2abed7e1cee52a2a9547744b9377036473158 | f3aeecf11840f51e2cca7630f32ca141f8c6f02f | refs/heads/master | 2021-03-12T19:38:46.372437 | 2015-03-21T19:10:35 | 2015-03-21T19:10:35 | 32,646,094 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,143 | py | hashing.py | __author__ = 'nunoe'
def int_from_str(s):
""" Simple hashing function
The indexes return grow bigger as the provided string grows
:param s: str, given string
:return: the hash value for s
"""
index = ''
for c in s:
index += str(ord(c))
return int(index)
def hash_str(s, table_... |
06a92a80f583c27d8e21597bdbb3eb2bfc131ba7 | 58c2e9bb8d4bc8b265f56d9d9f6e7ed4474f721b | /aix360/algorithms/dipvae/discriminators/base/base_discriminator.py | cf0efd66e57ed5e6b0e343c05f505e580945eecb | [
"Apache-2.0"
] | permissive | bhanuk31/AIX360 | 8879d5861aae499125fa2f3c0b44e9aae2ff2b87 | 4369baa018e3da1acfec7a15746c1eb275bf0159 | refs/heads/master | 2020-12-02T08:33:07.322062 | 2020-01-11T22:07:32 | 2020-01-11T22:07:32 | 230,942,377 | 0 | 0 | null | 2019-12-30T15:56:59 | 2019-12-30T15:56:58 | null | UTF-8 | Python | false | false | 306 | py | base_discriminator.py | import torch.nn as nn
class BaseDiscriminator(nn.Module):
def __init__(self, latent_input, protected_dim):
super().__init__()
self.latent_input = latent_input
self.protected_dim = protected_dim
def forward(self, *input):
raise NotImplementedError |
4c8389594cb23311a99cc1784d72f7d539491137 | 77da5ba1e98379080a918916014b3fa438769e28 | /neuralnetwork/fourth_version_general_circ.py | 34eeac1a92b4c38a2bb2bd4b16e4acf639ef7e7c | [] | no_license | liaocs2008/Algorithms | e92daad76b81b170008c1965e30f399c5976f704 | efb56bc09fa30eda8826558c458b6ff1bc83ad12 | refs/heads/master | 2023-03-09T11:29:24.811554 | 2023-03-01T21:32:30 | 2023-03-01T21:32:30 | 12,486,879 | 2 | 1 | null | 2023-03-01T21:32:31 | 2013-08-30T13:21:45 | Python | UTF-8 | Python | false | false | 17,811 | py | fourth_version_general_circ.py | #!/usr/bin/env python
from __future__ import print_function
import sys
import os
import time
os.environ["THEANO_FLAGS"] = "device=gpu2"
import numpy as np
import theano
import theano.tensor as T
from theano.tensor import fft
import lasagne
theano.config.exception_verbosity = 'high'
theano.config.optimizer = 'Non... |
f0fe4c5e8476f58b34682305c4a8d69babbd944d | cf7c5f5c2b45dd17d3dd74418560501aba2f35de | /webapp/app_liang.py | 670cdeb07f1c6300673de0127c8add861c0a34d5 | [] | no_license | yajun0601/KnowledgeGraph | 4f94e99316d96b6bdb5419fbdccea80f1dd23680 | 8c0baadc9763c09f655301a8e109fca3b9da30ab | refs/heads/master | 2020-05-09T20:02:07.224882 | 2019-04-15T01:51:14 | 2019-04-15T01:51:14 | 181,393,521 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 326 | py | app_liang.py | # coding: utf-8
# @Time : 2019-04-09 15:58
# @Author : Libra
# @Site :
# @File : app_liang.py
import os
import sys
from flask import Flask
sys.path.append(".." + os.path.sep)
from webapp.views.graph_view import graph
app = Flask(__name__)
app.register_blueprint(graph)
if __name__ == '__main__':
app.... |
e6c86d443655b0b85b5dd72a0e8ccb5bef0fceab | 361e0ef132f8689dfa0890fdfcf7d5794c2b6915 | /ds_and_algos/recursion/permutations.py | 07465a3c9086182ccde7b66bd34725a2282b7541 | [] | no_license | BMariscal/study-notebook | 53751460d837d910b9cf286674e7739815588d9e | 0ff851359cf91519c3ee2adfd704494ed08b8d6d | refs/heads/master | 2020-08-25T05:53:45.061917 | 2020-08-12T20:15:08 | 2020-08-12T20:15:08 | 216,971,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 449 | py | permutations.py | from collections import Counter
def permuations(c, res, word):
if len(res) == len(word):
st = "".join(res)
ans.append(st)
return
for key in c:
if c[key] > 0:
res.append(key)
c[key] -= 1
permuations(c, res, word)
res.pop()
... |
3df6aab32a99311723e37faa1b75163c2177494e | bdf4feecb01828abebd4b8c1384b0c153dd7eced | /CrackingTheCodingInterview/SortingAndSearching/QuickSort.py | ab76a841dac6aaebf50c96485f3e1aa5da2ac585 | [] | no_license | dxmahata/elements-of-programming-interviews-python-solutions | 612e145a5ade0c507f8e729f8c32beaccf94b8bf | 3d9e89861b8cdd7549dbada5fe29a5774b0a185b | refs/heads/master | 2020-05-05T01:08:30.929854 | 2015-07-06T00:27:08 | 2015-07-06T00:27:08 | 36,894,236 | 8 | 11 | null | null | null | null | UTF-8 | Python | false | false | 958 | py | QuickSort.py | '''
Created on Jun 25, 2015
@author: Debanjan Mahata
'''
def partition(A, start, end):
pivot_point = start
pivot_value = A[pivot_point]
left = start+1
right = end
done = False
while not done:
while left <= right and A[left] <= pivot_value:
left = left + ... |
2c8f7bf17021f15993afe011568f250cb1b41d93 | 89e430e5e47642132b272ab454c0bd40344c40a7 | /LeetcodePython/LeetCode/62.不同路径.py | d32e347ad2c34d799df6e6c116f7ce1a4b194038 | [] | no_license | selonsy/leetcode | bebde23e0e13ba236adb3d905a701a34602f98df | b8f705a77cfcdb7d498d3422f9c4ee88fd61a3b3 | refs/heads/master | 2021-06-28T06:23:36.422766 | 2021-02-23T12:34:40 | 2021-02-23T12:34:40 | 220,758,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,923 | py | 62.不同路径.py | '''
一个机器人位于一个 m x n 网格的左上角 （起始点在下图中标记为“Start” ）。
机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角（在下图中标记为“Finish”）。
问总共有多少条不同的路径？
例如，上图是一个7 x 3 的网格。有多少可能的路径？
说明：m 和 n 的值均不超过 100。
示例 1:
输入: m = 3, n = 2
输出: 3
解释:
从左上角开始，总共有 3 条路径可以到达右下角。
1. 向右 -> 向右 -> 向下
2. 向右 -> 向下 -> 向右
3. 向下 -> 向右 -> 向右
示例 2:
输入: m = 7, n = 3
输出: 28
'''
import ti... |
936d25d4b9bc277f205685966c0884f82e0850c7 | 4305cdc8f1d42ce244a47641f2dbca5d54d041d8 | /1. variables/demo2.py | 00e6aaa8207133796a46e3b05593e400bfad62af | [] | no_license | mehrabcz/Python-Exercise | d58d346540702605c491664df8f8a13f969ab0a0 | 0e37c04858087aea03ef91e50da07996d18f5099 | refs/heads/master | 2020-03-26T14:01:18.622267 | 2018-08-16T10:40:34 | 2018-08-16T10:40:34 | 144,967,793 | 1 | 0 | null | 2018-08-16T09:39:15 | 2018-08-16T09:39:15 | null | UTF-8 | Python | false | false | 739 | py | demo2.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# تعریف متغیر
x = 12
y = 6
print('x = '+str(x))
print('y = '+str(y))
# در پایتون شما میتوانید متغیر هاتون رو جایگزین کنید که جلو تر بیشتر راجع بهش میبینید
# برای جمع اعداد در پایتون از + استفاده میشود
total = x + y
print("x + y = "+str(total))
# برای تفریق اعداد از ... |
c4f7eddfc6864546a05019448b55fbbb742b42e5 | 47caacdded347b9d222591b48f1be2a70eadb642 | /video/PiVideoCameraCapture.py | 6d084b71c21deff7a45df0356af160d0459c4532 | [] | no_license | andriylysenko/RaspberyPiSecurityCamera | ac8f30d4908b8d1f352dfd5f82a3d23fd3eeb160 | 9f4ba5bf593092859cfbb4df3edec23da87303a4 | refs/heads/master | 2020-04-17T00:47:39.883724 | 2019-01-22T15:41:14 | 2019-01-22T15:41:14 | 166,062,637 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 636 | py | PiVideoCameraCapture.py | from picamera.array import PiRGBArray
from picamera import PiCamera
class PiVideoCameraCapture:
__camera = None
__rawCapture = None
__format = None
def __init__(self, resolution=(640, 480), frameset=32, format="bgr"):
self.__camera = PiCamera()
self.__camera.resolution = resolution
... |
6689d237cf7d74abba2b16d989d99058769e55c6 | 13b14c9c75143bf2eda87cb4a41006a52dd6f02b | /AOJ/0361/0361.py | c5b204c82a846900273763b028c4c4ce4ede2640 | [] | no_license | yutaka-watanobe/problem-solving | 2c311ac856c79c20aef631938140118eb3bc3835 | f0b92125494fbd3c8d203989ec9fef53f52ad4b4 | refs/heads/master | 2021-06-03T12:58:39.881107 | 2020-12-16T14:34:16 | 2020-12-16T14:34:16 | 94,963,754 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 137 | py | 0361.py | def gcd(x, y):
return gcd(y, x % y) if y > 0 else x
x, y = map(int, input().split())
print((x + 1) + (y + 1) - (gcd(x, y) - 1) - 2)
|
f012aab768d7a3c1f7eb5134656d20986781fadf | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2752/60693/256113.py | cb7bc337ecb033535b9e04892566d35213a4ed33 | [] | 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 | 954 | py | 256113.py | def distance(forest,sr,sc,tr,tc):
row,column = len(forest),len(forest[0])
queue=[(sr,sc,0)]
visited={(sr,sc)}
while queue:
r,c,d=queue.pop(0)
if r == tr and c == tc:
return d
for nr,nc in ((r-1,c),(r+1,c),(r,c-1),(r,c+1)):
if 0<=nr<row and 0<=nc<column and... |
508ef5acf6e100f0627bf2c7e55b565ea7c17fdf | bf3cdb8bbf73874e8b6b402ffba267b66864fa7d | /Day-2/BMI_calculator.py | 19750120be7b62607292e066218adc9d565d166e | [] | no_license | tharunnayak14/100-Days-of-Code-Python | 84d446040fc07bb83b25f453c48d9c643de7266d | 65c0d99f1c7dbbd6a4c676725a6fc7f26c16f1f1 | refs/heads/main | 2023-06-15T19:47:40.574045 | 2021-07-12T12:14:21 | 2021-07-12T12:14:21 | 375,900,555 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 197 | py | BMI_calculator.py | weight = float(input('Enter your weight in kg: \n'))
height = float(input('Enter your height in m: \n'))
# BMI = Weight(kg)/Height**2
BMI = int(weight / height**2)
print("Your BMI is:")
print(BMI) |
ce81f1b925a5f95426aa404e17713b612eedc7f8 | 832fe2888959fbee93be4e9185c0fee61cd85849 | /PyFiles/FileParser/FieldTest_File.py | 4479b3d638106f1e577c1e1eaeecbe69993e90e5 | [] | no_license | pwalker91/CSUMB_CalSPEED_Parser | 7c380100081599134719f8c7baea51d8ab52df48 | 7f65a8e3e6411e2f4d770da937f7f124958148ea | refs/heads/master | 2021-01-25T09:53:33.930369 | 2015-05-08T16:21:18 | 2015-05-08T16:21:18 | 33,910,942 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 21,979 | py | FieldTest_File.py | """
------------------------------------------------------------------------
FIELDTEST_FILE.PY
AUTHOR(S): Peter Walker pwalker@csumb.edu
PURPOSE- This object will hold a raw data file's header information (see list of variables)
and then parses individual tests from the remaining text, storing them... |
e17ff50de2ef495689cf0457393ff0faa08a9648 | 64042a3752501e2d2f9217a8b48ff992665f5b47 | /NeuralNetworkBackPropagation.py | 96bb707572d51c85a8f8dc7d89ad5a295937258d | [] | no_license | HamdiAmroun/Ecigarette | 1579b43f4fd7209cb8964af5d26ea0c5f2595a8c | ed3f47c14d0101f833bb51cf3196f216c8e0be4d | refs/heads/master | 2020-04-23T20:17:49.122337 | 2019-02-19T09:21:57 | 2019-02-19T09:21:57 | 171,435,004 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,527 | py | NeuralNetworkBackPropagation.py | import numpy as np
import sklearn as sk
import sklearn.datasets
from sklearn.neural_network import __all__
# ---- Acticvation function tanh
def tanh(x):
return np.tanh(x)
# ---- derivation de la fonction tanh
def tanh_deriv(x):
return 1.0 - np.tanh(x) ** 2
# ---- Acticvation function logistic
def logist... |
d238afc469f82c8b39048c00562502f2ea614cad | 4a8c1f7d9935609b780aff95c886ef7781967be0 | /atcoder/ARC/136_c.py | 0e01d0c7ea4f1064a90132a3b8da86de76b6ba95 | [] | no_license | recuraki/PythonJunkTest | d5e5f5957ac5dd0c539ef47759b1fe5ef7a2c52a | 2556c973d468a6988d307ce85c5f2f8ab15e759a | refs/heads/master | 2023-08-09T17:42:21.875768 | 2023-07-18T23:06:31 | 2023-07-18T23:06:31 | 13,790,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,982 | py | 136_c.py | import sys
from io import StringIO
import unittest
import logging
logging.basicConfig(level=logging.DEBUG)
def resolve():
import sys
input = sys.stdin.readline
from pprint import pprint
#import pypyjit
#pypyjit.set_param('max_unroll_recursion=-1')
import math
INF = 1 << 63
... |
e17534d149ec7c2e36202a222dfc2a70569edaa9 | c40b162e1d3533002b3a262b8209d761a1bb10d4 | /backup/ai/server.py | 31372f64b24ef3722e159efd24e96c347e298b44 | [] | no_license | rugern/metropolis | dec9814b8d0bf29b82b5df0a4ed7427d27a2ecf3 | 1c744c069b39a037c92297de1fdd393e49d5b06a | refs/heads/master | 2022-09-29T10:56:39.097569 | 2017-06-06T06:12:51 | 2017-06-06T06:12:51 | 58,861,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,157 | py | server.py | import os
from os.path import isfile, join
import shutil
import numpy
from flask import Flask, jsonify, request
from flask_cors import CORS
from flask_socketio import SocketIO
import keras
from utility import readHdf, getFileList, getDirectoryList, createPaths
from train import train
app = Flask(__name__)
CORS(app)
s... |
f0c7adb94de020922303cab92261780836f6524d | 0f8303248ba3d12304b9104350d1b254c02cd7e4 | /param_sweep.py | 85f28a4441c3b270780528d3c660b0c09c5a44a1 | [] | no_license | michaele77/trading_bot | f1bd88d2363c8ea00d3259fbf512313ebb01829e | 73380ebc7fd7761e8cef584f31a616d213860949 | refs/heads/master | 2023-01-11T07:25:56.298628 | 2020-11-17T03:39:49 | 2020-11-17T03:39:49 | 290,422,246 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,619 | py | param_sweep.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
alpaca_marker_data --> param_sweep
(do only once) | |
| uses |
| these |
|classes|
V V
... |
409dbadd2f662dce4ab4d6244522f6cccb80f6f2 | d7d0d3d9fbdf470cfdbaf2496297168d29d06078 | /cassandra/delete_data.py | 0d9ba3066f40f1f4f34ac0635b3539892ee65326 | [] | no_license | tapanagupta/ooi-tools | 6bf6f8f323b9e3b86f35153072e411b73ba058b4 | 61c35f47dc929c034923d29f3cf016604b07f16c | refs/heads/master | 2021-01-12T20:48:38.302896 | 2016-01-15T19:53:39 | 2016-01-15T19:53:39 | 24,337,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,282 | py | delete_data.py | #!/usr/bin/env python
"""
Delete data for a specific reference designator from cassandra.
Usage:
delete_data.py <refdes> <contact_ip>...
"""
from cassandra.cluster import Cluster
class Deleter(object):
def __init__(self, contacts, refdes):
self.contacts = contacts
self.refdes = refdes
... |
adaacfe5eba288b07ddd084f8f2fc1ce289502ed | ab73fdf7a1d0ed40b9b5e3ca386321f9aaefd148 | /models/model.py | a34009febc894a8627921662df3d1d6c16773cdc | [] | no_license | gorthar/yazilim_muh | f69fcd2f690ba6868bb28182d2fdf0445b70f47b | b93b302d3f4c9a908ee88c0b440bed1b1651a081 | refs/heads/main | 2023-08-23T09:39:35.173819 | 2021-01-16T14:20:31 | 2021-01-16T14:20:31 | 329,438,804 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,324 | py | model.py | import random
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
db = SQLAlchemy()
class teacher(db.Model):
__tablename__ = 'teacherTable'
email = db.Column("email", db.String(100), primary_key=True)
name = db.Column("name", db.String(100), nullable=False)
password = db.Column("pas... |
ad3432353f8c5d1f096dba3e3fd86b8d6e9fe537 | 9e64c2585d03680cc4dc73997d1e1bff375c223b | /src/calculate_metrics.py | 70168862865319d04b925b03e28eeca54f3db68b | [] | no_license | apof/Undergrad-Thesis---Deep-Learning | d34723ebb54e9cd467851c4738c2e3e25e17ebc7 | 5e6f77cb1766673eea40111c7db68dda5ac83d15 | refs/heads/master | 2021-10-17T03:12:43.089251 | 2019-02-13T13:52:34 | 2019-02-13T13:52:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,433 | py | calculate_metrics.py | import imageio
import glob
import numpy as np
import math
import os
from skimage.measure import compare_ssim as ssim
TEST_NUMBER = 10000
def key_func(x):
print(os.path.split(".")[0])
return os.path.split(".")[0]
def load_dataset(dir_name):
list_of_images = []
list_image_parth = []
i=1
for image_path in sorted(... |
c8384acf484a9ca956c2d978ed616e5e3795e6ab | dee81ab182a829b3737779d280cab91d30b7bcc4 | /attachment/lime/LIME_analyse.py | 1376c6605eab1ddd1bc9bbeea1c135fc2c0d14d5 | [
"MIT"
] | permissive | wscjxky/AAD-framework | f749c89e1729242349344552066442b971dc8d98 | e96e1d4ff7178702efdbd718c6f4fe137fe50f43 | refs/heads/master | 2021-10-26T00:12:13.922294 | 2021-10-16T04:54:33 | 2021-10-16T04:54:33 | 174,692,952 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,323 | py | LIME_analyse.py | import os
import matplotlib.pyplot as plt
import numpy as np
def balance_rar_gt(rar, gt):
new_rar = np.zeros((299, 299))
rar_count = rar[rar == 2].size
gt_count = gt[gt == 1].size
area = (np.where(gt == 1))
max_x = np.max(area[1])
min_x = np.min(area[1])
max_y = np.max(area[0])
min_y ... |
fda5f65d07f9d9fdb16df1fabeb9af37b50ce713 | 424038630d846cd74b726cf7cfb37c13980405f6 | /7.py | 0baf6cb1577bd40560d2d24d81cc8289d42ab6ee | [] | no_license | grickoff/-GeekBrains_8HW | 136e3128d1fd31bfbee6653ce8df0c3e3a082b34 | 750c787278fb78543a67de0266ed8c6c73608454 | refs/heads/master | 2023-04-01T12:35:32.804404 | 2021-04-06T20:23:46 | 2021-04-06T20:23:46 | 355,319,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,307 | py | 7.py | # Реализовать проект «Операции с комплексными числами».
# Создайте класс «Комплексное число», реализуйте перегрузку методов сложения и умножения комплексных чисел.
# Проверьте работу проекта, создав экземпляры класса (комплексные числа)
# и выполнив сложение и умножение созданных экземпляров. Проверьте корректность... |
f927d8d38c5ecf50d6efc50e4e13a6b3598ce750 | 1614b04a1eee49662319372d825888b621215dd2 | /Santhoshi/Python_hackerrank/capitalize-15.py | a357519320f058bbe9112a5d313f420a668afd6a | [] | no_license | srivalli-project/BI_Team_Status | 3e14dead73077fb4e4dbb25d816f7765e6ff14e0 | c32128f08d8c11e23b13ae7715c9da274f639174 | refs/heads/main | 2023-03-09T02:25:30.470576 | 2021-02-22T15:09:05 | 2021-02-22T15:09:05 | 325,808,621 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 628 | py | capitalize-15.py | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the solve function below.
def solve(s):
#n = s.split(" ")
n = s.split(" ")
words = [w.capitalize() for w in n]
ret=" ".join(words)
return ret
'''
for i in n:
names = i.capitalize()
editname=" ".join(names)
ret... |
c301853e7da5e048b12d1983d974d3a61b7f3d8f | a51a28348275a0f73054afaf5b2711300a8a355a | /huawei/HJ9.py | 8b58b3fc67e54deb9c5f67ad2feaadd5ff97dc6d | [] | no_license | kiyoxi2020/leetcode | 98f8ef8044742179a925a9d0ecfac295ae804c60 | ad1eabfa27dda65b743d7d93524f1ec8f1e0ebfc | refs/heads/main | 2023-07-08T21:19:55.577592 | 2021-08-23T05:33:42 | 2021-08-23T05:33:42 | 382,379,981 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | HJ9.py | '''
HJ9 提取不重复的整数
描述
输入一个int型整数，按照从右向左的阅读顺序，返回一个不含重复数字的新的整数。
保证输入的整数最后一位不是0。
输入描述：
输入一个int型整数
输出描述：
按照从右向左的阅读顺序，返回一个不含重复数字的新的整数
'''
while(1):
try:
data = raw_input()
out = 0
d = set()
for i in data[::-1]:
if i not in d:
d.add(i)
... |
02e9ec2be86fed4e423c5224d6a5864dd48fa34d | 60103c6afd02217277a8b925215ce7c836b131c2 | /src/case.py | 85f6562f5a9d3d3ee2b7afc88d4a9b0bf0a339d9 | [] | no_license | keekdown/pyIBM | 2ad983b6d2415934fdc6db29e9c25453bdd5ef81 | 6829f76d70e0833189108e95aece2f273e0c0b21 | refs/heads/master | 2021-01-18T08:33:25.139427 | 2015-03-24T07:48:53 | 2015-03-24T07:48:53 | 30,970,582 | 0 | 0 | null | 2015-02-18T15:10:56 | 2015-02-18T15:10:55 | null | UTF-8 | Python | false | false | 597 | py | case.py | # file: $pyIBM/src/case.py
# author: Olivier Mesnard (mesnardo@gwu.edu)
# BarbaGroup (lorenabarba.com)
import os
class Case:
"""Sets up information about the case."""
def __init__(self, path):
"""Gets the path and name of the case.
Arguments
---------
path -- location of the case folder (root is the p... |
af63114e22484db29c847c5574a34f14be44068e | c061f40440f7a3ad952892b0655d8cc1c9923c89 | /SubHistory/views.py | d9467fbd4ba88e52d5898d454e02c7c0e90c4c3d | [] | no_license | tkingkehl/OPS | 1548ee37421572ed8ca98fbdbdeec1fde73543c6 | d82531f3e5f4645ade5a92cfd8f78ac22036c2a0 | refs/heads/master | 2023-08-31T09:15:31.432840 | 2023-08-30T03:49:03 | 2023-08-30T03:49:03 | 162,036,463 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,910 | py | views.py | from django.shortcuts import render, HttpResponse
import os
from pathlib import Path
from django.conf import settings
from django.core.files.storage import FileSystemStorage
from django.contrib.auth.models import User
from users.models import CustomUser
from django.contrib.auth import get_user_model
from TLS.models im... |
ceb337ac52dc8c2b61be3f3dde3c1f96b1315cd4 | b8906d008b169ff7406304b8d09a85428fb47984 | /Python_Language/0002_MinMax.py | 11cfb639ecb859452d04349b9467dacc4411c534 | [] | no_license | Watanai1245/programming.in.th | dc564187bf106327ceaa3e4b3382c0764a7ac7dc | 4593fc94eccc30d35b3f5a628e6ca6b6c902f5b6 | refs/heads/main | 2023-08-10T23:32:05.938750 | 2021-09-22T03:10:15 | 2021-09-22T03:10:15 | 407,619,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 119 | py | 0002_MinMax.py | A = int(input())
Lock = []
for i in range(A):
C = int(input())
Lock.append(C)
print(min(Lock))
print(max(Lock)) |
55d3b5095c2581fb0d106d4d5667c6c67baa0cbd | 3e4163267aa40d68fc74906a81575c5459d4b5dd | /criss-cross-multi-step-word-guessing-game.py | ea1c6009869c7dfc87f2d25202a5050e6910d7c2 | [] | no_license | novouss/criss-cross-multi-step-word-guessing-game | c7b293530c65a19adeaf8c6058214ef8de15d6de | b84119139d3e998b6393292f6189c1764ed07ff6 | refs/heads/main | 2023-01-06T00:55:44.293188 | 2020-11-08T15:00:28 | 2020-11-08T15:00:28 | 311,077,488 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,184 | py | criss-cross-multi-step-word-guessing-game.py | import os
import random
word = "" # A string representing the word being guessed by the player.
word_length = 0 # An integer representing the length of the word being guessed by the player.
guess_no = 1 # An integer representing how many guesses the player has made.
board = []
scores = [] # Records score.
# The gu... |
eaf2df54b106e397463124dfe8687dcb8b737ea2 | 81364ffa7910319615df25125f74bfa69ee68054 | /test.py | 54988b182d3a7d09d35b346247b6a486c849295c | [] | no_license | jkim-hyla/playground | f44ed7f8fb85ccd9a915d36bd96168b0bc7a72ef | e9c2d2331d1cb5a3dd010c4a96946da589601af6 | refs/heads/master | 2020-03-25T21:26:27.593862 | 2018-08-10T13:12:05 | 2018-08-10T13:12:05 | 144,175,425 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 63 | py | test.py | import os
import numpy as np
def main():
print('hello')
|
a785accc77b4256a79bb4bfa38ebfe48e24f0be9 | ef3f33758707d15ca125aa112ceb41c091e96450 | /sample_machine_learning.py | 645e8900638c3ac705f585082c84973bfae11810 | [] | no_license | AlexanderGracetantiono/TF_ML_CAT_DOG | 6d6d55a631e9deb229e97457e1f11261a20efa3f | 9411a29c883be20f51f6ea48c993d4169849a078 | refs/heads/master | 2023-04-25T00:07:08.958828 | 2021-05-13T12:09:00 | 2021-05-13T12:09:00 | 367,033,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | sample_machine_learning.py | # -*- coding: utf-8 -*-
"""
Created on Thu May 13 15:56:11 2021
@author: alexa
"""
print('hellow world') |
3163cbd2f0c274ca9947232fb9e2e4fe24e957ec | 066ef79f1759a40c436d63325cb2b815a645dc3b | /supertagging/admin.py | 6b7861b6061c9fdccc85961a189f4f4bd8a1e889 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | uclastudentmedia/django-supertagging | 5145bd3d3e476d026b6b7e8f9b6328e8d808d9d5 | 7d49fdbb79c7c69ec17fcd038b1f906864b5e67f | refs/heads/master | 2020-06-01T09:52:53.401330 | 2009-07-01T23:24:38 | 2009-07-01T23:24:38 | 656,040 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,266 | py | admin.py | from django.contrib import admin
from supertagging.models import SuperTag, SuperTaggedItem, SuperTagRelation, SuperTaggedRelationItem
from django.contrib.contenttypes.models import ContentType
class SuperTagAdmin(admin.ModelAdmin):
list_display = ('name', 'slug', 'stype', 'properties' )
ordering = ('name', )
... |
7d2a9c7016a70962b99259e1f43d58a90a0ce817 | c9d626ac3cb5c27e9e5281f47825e082d61de7fa | /current_bot/warrior_dispatcher.py | 64dcffddcb6800cbdc86057ee09c9f666ad36a72 | [] | no_license | lorenzoriano/AI-Challenge | 32d05f1b6acd98dd840cc7e0ab2700c9dfcbb802 | 78bce2d750f78d1fedb9963c49a95e6ae63c2009 | refs/heads/master | 2016-08-02T21:14:48.006647 | 2011-12-19T20:15:14 | 2011-12-19T20:15:14 | 3,014,735 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,218 | py | warrior_dispatcher.py | import warrior
import logging
import pezz_logging
import math
logger = logging.getLogger("pezzant.warrior_dispatcher")
class WarriorDispatcher(object):
"""
Creates Warriors.
"""
def __init__(self, world, bot):
self.world = world
self.bot = bot
self.ants = []
#... |
c7b2ba7dcf9c0f05d9cd9a17bf3b1302e9971067 | e55c6f8b8923b345bea05e7457da1c3e387da9e1 | /GameOfLife.py | a453c343c9e4a2d8b54f5e84d4fdb7aabbfaad97 | [] | no_license | AlejandroGY/GameOfLife | baea9b211b87b25d8bd27f6c3144eec36656ca38 | ef5e7ecf60866861e986bc95473d85f4cba2d821 | refs/heads/master | 2020-07-10T11:07:35.559632 | 2019-08-25T16:35:51 | 2019-08-25T16:35:51 | 204,249,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,708 | py | GameOfLife.py | # /usr/env/bin python
# encoding:utf-8
import random
import itertools
import os, time
UNIX = False
clear = lambda: os.system('clear') if UNIX else os.system('cls')
class GameOfLife(object):
def __init__(self, filas, columnas):
self.filas = filas
self.columnas = columnas
fila_vida = lambda: [ran... |
6f99bc8d9fa93187f913fdfc2a127de2ff256d9a | 718007221d2b683280d7e8d7eef9fe1b8c1d79b0 | /API_DOC/swagger_server/models/campaign.py | 84efdb89589acab47619ed472015f72adba29ab5 | [] | no_license | FedericoCalonge/TweetMaster | e4a72269ceab1f22377e3b428263d8fb4d189664 | ef20f1f83e8953fe447f92a32d9a5f5c9e720d41 | refs/heads/master | 2020-06-11T16:58:39.417893 | 2019-07-08T17:48:14 | 2019-07-08T17:48:14 | 194,030,676 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,680 | py | campaign.py | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
class Campaign(Model):
"""NOTE: This class is auto generated by the swagger co... |
bba281bd632455971beec7bd33fc8cd4a5ab140b | 00635918b3297c8016501370b2bbb7bbbdbc8e41 | /aioupnp/constants.py | 333023bcb5b15a4e70b29db61de542f890dc656b | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | pataquets/aioupnp | 667fa5e944a7a8ec11ffdf731a4d911222da095c | 0bfaee35aecf0a45fa6683ea3fc6a64f47107dfc | refs/heads/master | 2021-07-11T16:07:39.319851 | 2021-06-17T17:04:20 | 2021-06-17T17:04:20 | 247,324,985 | 0 | 0 | MIT | 2020-03-14T17:46:07 | 2020-03-14T17:46:07 | null | UTF-8 | Python | false | false | 961 | py | constants.py | POST = "POST"
ROOT = "root"
SPEC_VERSION = "specVersion"
XML_VERSION = "<?xml version=\"1.0\"?>"
XML_VERSION_PREFIX = "<?xml version=\"1.0\""
FAULT = "{http://schemas.xmlsoap.org/soap/envelope/}Fault"
ENVELOPE = "{http://schemas.xmlsoap.org/soap/envelope/}Envelope"
BODY = "{http://schemas.xmlsoap.org/soap/envelope/}Bod... |
4a978791ced0b5ed796033a1d1933b322dcce812 | a9a71eb4c9424274770b0d187fc0bf800149b298 | /Python/classwork.py | 3125b33553515d1209f929f06825780208668d22 | [] | no_license | mayank-17/Practice-Programs | eac361f66b90ae654c7fb3de107eca5f61686573 | d549195056259e5885c16805bbb9385d727b8dba | refs/heads/master | 2020-04-03T03:31:24.500312 | 2018-12-08T19:51:25 | 2018-12-08T19:51:25 | 154,988,133 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,773 | py | classwork.py | # radius = eval(input("Enter radius:"))
# area = (radius ** 2) * 3.14159
# print("The area for the circle of radius", radius, "is", area)
# print(int(5.9999999))
# a = input("Enter the value:")
# def evenOrOdd(num):
# if num % 2 == 0:
# return "Even"
# else:
# return "Odd"
# num ... |
344555053f0bedbef83289864d7987a57d328fab | ef13599285ef505e51b5d0db9575ac7d6a4047b8 | /genesis/length_scales/variability.py | 409d8a045872e6322302d215ba88ca43b5ab5cc8 | [
"BSD-3-Clause"
] | permissive | leifdenby/genesis | 4298d20d4a75e85d10e690a7b30cb61f0c427280 | be73a78100c940db5f8ac39d0e48a644c091664c | refs/heads/master | 2023-04-14T14:04:11.891361 | 2022-08-23T08:09:54 | 2022-08-23T08:09:54 | 120,655,892 | 4 | 1 | BSD-3-Clause | 2022-08-23T08:09:55 | 2018-02-07T18:43:03 | Python | UTF-8 | Python | false | false | 8,856 | py | variability.py | """
Methods for quantifying coherent length-scales in the convection boundary-layer
"""
import numpy as np
from scipy import ndimage
from tqdm import tqdm
from genesis import utils
model_name = "uclales"
case_name = "rico"
def _patch_average_splitting(d, s, shuffle_mask=False):
"""
Split data d into 2**s pa... |
02963d5d84bd1d53954378c54556f2b6a729022c | 8aff692ba932a52d550aa9302e5b8062778e8faf | /addition_interiors_project/urls.py | 0c120c8d671fbd8d0f69ae00b3ad7bf75289273c | [] | no_license | rdthree/addition_interiors_project | 3d1c4164816e26a284648ee26e585c7d31398d0a | 2485b71ac9a8894fa59ac2b8b71db3c1d7d3d167 | refs/heads/master | 2022-02-09T19:35:51.499562 | 2014-03-30T03:31:33 | 2014-03-30T03:31:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,254 | py | urls.py | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from django.views.generic.base import TemplateView
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
#DJANGO-FILEBROWSER
from filebrowser.... |
1c394081e919dc3abb7013947405df72b3bb3edc | c7e765a9bed33d3bfb21774e3995bf4a09e04add | /adminmgr/media/code/python/red2/BD_018_121_123_4173.py | ae819245f6294fb730298b91581ee1d2850ff2d5 | [
"Apache-2.0"
] | permissive | IamMayankThakur/test-bigdata | 13dd2ac7fb76c9baed6c3a0aa943057a22e2d237 | 7f507918c7bec31c92eedcd94491a83486623049 | refs/heads/master | 2022-05-03T00:59:44.127494 | 2022-02-10T19:50:16 | 2022-02-10T19:50:16 | 201,585,028 | 10 | 4 | Apache-2.0 | 2022-04-22T23:39:45 | 2019-08-10T05:34:09 | Python | UTF-8 | Python | false | false | 1,499 | py | BD_018_121_123_4173.py | #!/usr/bin/python3
from operator import itemgetter
import sys
import csv
current_count_delivery = 0
current_count_runs = 0
current_key_batsman = ""
current_key_bowler = ""
Dict = {}
for line in sys.stdin:
line = line.strip()
line_val = line.split("\t")
bowler,batsman,delivery,runs = line_val[0],line_val[1],line_val... |
8e5ee53e7c2fb6cc51ba9836a5a9ec413cc1a808 | 5761eca23af5ad071a9b15e2052958f2c9de60c0 | /generated-stubs/allauth/account/models.pyi | 852e85dd7e1f698bede27b4d7a7210156dea4f06 | [] | no_license | d-kimuson/drf-iframe-token-example | 3ed68aa4463531f0bc416fa66d22ee2aaf72b199 | dd4a1ce8e38de9e2bf90455e3d0842a6760ce05b | refs/heads/master | 2023-03-16T13:52:45.596818 | 2021-03-09T22:09:49 | 2021-03-09T22:09:49 | 346,156,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,621 | pyi | models.pyi | from . import app_settings as app_settings, signals as signals
from .adapter import get_adapter as get_adapter
from .managers import EmailAddressManager as EmailAddressManager, EmailConfirmationManager as EmailConfirmationManager
from .utils import user_email as user_email
from django.db import models
from typing impor... |
8919b0388eca0dd2bd754dfa7735a3f059de089a | 8f81418c90c36f27973f7cd552952e5d436629e8 | /application/onlinecourse/course_recommendations.py | a11cf0d9b886ca6dd91d406a9ad486a204eafcac | [
"MIT"
] | permissive | eugom/analytics_backend | 4d3880bba217c6d83d27ece88fc6ac5d6ff22a56 | b2b929afdf5806a9f0d8009fbdb0bb0957f17b67 | refs/heads/master | 2023-08-29T05:28:53.410314 | 2021-10-11T09:29:09 | 2021-10-11T09:29:09 | 371,522,608 | 0 | 0 | MIT | 2021-05-27T22:58:14 | 2021-05-27T22:51:42 | null | UTF-8 | Python | false | false | 6,237 | py | course_recommendations.py | from .models import OnlineCourse
from workprogramsapp.models import WorkProgram, Topic, DisciplineSection
import pandas as pd
import numpy as np
import re
import nltk; nltk.download('stopwords')
from nltk.corpus import stopwords
from pymorphy2 import MorphAnalyzer
from sklearn.feature_extraction.text import TfidfVector... |
59b77d9e3afd34bcccb47f5b3b897886e3be8d88 | dad812290c67376b09df7e58795da93ce156682e | /MarioPleaseMove/src/NEAT/__init__.py | 82c0ca98cd526ee3a01103351ca65a351cd01774 | [] | no_license | AlreadyAsleep/Super-Mario-64-AI | 2c5f9a9a88139251de350c71549c667fe62f1194 | b76ade558b55f22a65ef8c1cc355a2866686426d | refs/heads/master | 2020-03-10T02:42:42.836634 | 2018-04-12T16:23:52 | 2018-04-12T16:23:52 | 129,143,487 | 0 | 0 | null | 2018-04-11T19:25:48 | 2018-04-11T19:25:48 | null | UTF-8 | Python | false | false | 99 | py | __init__.py | from . import GeneticOperation, NodeController, InputNode, OutputNode, HiddenNode, Node, Connection |
9e7dd600a16bd44548e304d4145302d0b58fb3a6 | e0b627ff8a777f187b67460f990733383403c556 | /main.py | 29e0cd42fff71a5be6245770492cd52bf455f62f | [] | no_license | Mark-Lok/skynet | e80dc8b3ea5199332703dfa1d284fc34a9c5f334 | cd86e788885930c5802f3b819ccebc28ccf0404f | refs/heads/master | 2021-01-09T20:04:55.145897 | 2016-08-07T01:56:27 | 2016-08-07T01:56:27 | 64,421,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,727 | py | main.py | # import the necessary packages
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
import RPi.GPIO as gp
import os
import serial
# camera 0(A) and 1(C) are using
# selection Pin | Enable 1 | Enable 2 |
# for Selecting Cam 0
# 0 | 0 | 1 |
# for Selecting... |
d4b598b28d0fd463a3bf2c240ab4eb2f93ae2974 | 036a41c913b3a4e7ae265e22a672dd89302d3200 | /0201-0300/0234/0234_Python_2.py | 64bf87b1c4ed909b3d8890709f413d0e3fd67c57 | [] | no_license | ChangxingJiang/LeetCode | e76f96ebda68d7ade53575354479cfc33ad4f627 | a2209206cdd7229dd33e416f611e71a984a8dd9e | refs/heads/master | 2023-04-13T15:23:35.174390 | 2021-04-24T05:54:14 | 2021-04-24T05:54:14 | 272,088,506 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,376 | py | 0234_Python_2.py | from toolkit import ListNode
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
if head is None or head.next is None:
return True
# 定位到链表中点（奇数个为绝对中点，偶数个为中线右侧）
slow = head
fast = head
while fast and fast.next:
slow = slow.next
... |
73ad299d090b5ccf00456ab294749e33549f6c93 | bbef967a7a8eef8f6b707fd65ddfb67f0a394976 | /challenges/multi_bracket_validation/multi_bracket_validation/multi_bracket_validation/multi_bracket_validation.py | 31e5596a36e5c8c203e6217f2dd5547ea5a0879b | [
"MIT"
] | permissive | nsinner1/data-structures-and-algorithms-python | e2dfdbaed5dbcf7285cd6d192bcd2e721ecc46f5 | 6c15d3805ba052d6b884c8ddae1c926d81b97118 | refs/heads/master | 2022-12-20T12:17:53.497181 | 2020-10-03T18:52:27 | 2020-10-03T18:52:27 | 268,688,818 | 0 | 0 | MIT | 2020-10-03T18:52:28 | 2020-06-02T03:09:10 | Python | UTF-8 | Python | false | false | 943 | py | multi_bracket_validation.py | def multi_bracket_validation(input):
stack = []
for bracket in input:
if bracket in ["(", "{", "["]:
stack.append(bracket)
else:
if not stack:
return False
current_bracket = stack.pop()
if current_bracket == '(':
... |
90de2ffc94d833fa9d2a14ca54a1a538dfc07943 | 9957e9ad7240534227ed0f05bc0a2b78c169041b | /Ejercicios_basicos/ej2.py | c33c80329adbe46bf5c972829c1e1eebdb12186b | [] | no_license | Angel-cuba/Python_Udemy-Ejercicios- | ef4ef3dad5f7778103e976a34e7a680e2a87345d | 633d8c30e16cda0f077264ff7b24930106ff22cb | refs/heads/main | 2023-03-16T01:37:43.544824 | 2021-03-11T15:31:54 | 2021-03-11T15:31:54 | 341,126,336 | 0 | 0 | null | 2021-02-24T17:45:36 | 2021-02-22T08:16:40 | Python | UTF-8 | Python | false | false | 799 | py | ej2.py | edad = int(input("Ingresa edad: "))
if edad >= 18:
print("Eres mayor de edad")
else:
print("Eres menor de edad")
print("**********__10__**************")
rep = 0
limit = int(input("Dame numero de limite: "))
texto= input("Dame un texto: ")
while(limit > rep):
print(rep, "---", texto)
... |
f194d696bcf5244f0172778f90b673f4d9575505 | 79dabb0010cd3502dbf6b565c157910fb3e52771 | /Lab 4/datetime.py | 27d102a16a6355945e936e3377309929e654d95b | [] | no_license | otisscott/1114-Stuff | 5cf06fd574706ca6b6656a43e4ae69062c015a13 | 913eb14b020b7a708c441f4e28c61f969225a3f9 | refs/heads/master | 2020-03-30T03:14:47.499473 | 2018-12-14T00:50:30 | 2018-12-14T00:50:30 | 150,677,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 356 | py | datetime.py | # Otis Scott
# CS - UY 1114
# 27 Sept 2018
# Lab 5
import datetime
curr_year = 2018
name = input("Please enter the student's name: ")
grad_year = int(input("Please enter the year that the students will graduate: "))
levels = ["Graduated", "Senior", "Junior", "Sophomore", "Freshman"]
level = levels[grad_year - curr_y... |
f82ab0ccf8640d858649891f423fed3f4995cbbf | eaabb5e166a358ac19a5aae6d0c001f18c7e05e8 | /Extra-Things/DSA-Rev/BST/1st.py | 27743b70fa1eab4fc501d8136cf94709b1f68f22 | [] | no_license | Srinivas-Rao-au27/Accomplish_classes- | 749d4cf6e0d9d572f92d11a5f8b704dd7a120d45 | 9e35fa9541cdff2203e71962cb8ccf36e2963fbc | refs/heads/master | 2023-07-14T22:19:18.532502 | 2021-08-18T07:45:29 | 2021-08-18T07:45:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 525 | py | 1st.py | # class Node:
# def __init__(self, data):
# self.data = data
# self.left = None
# self.right = None
def findTarget(tree, target):
if tree == None:
return False
if tree.val == target:
return True
if tree.val < target:
return findTarget(tree.right, ta... |
720a6d0c39099f9ee2bf2277d2f20af24ea431b1 | a1989586378dd3eba1572bfdc36a688f2fb46333 | /optimize_performance/products/migrations/0002_auto_20191130_1619.py | 8f5bffc375ca7ea7932db03eba84b2b029330685 | [] | no_license | tadak1/optimize_performance | c84af1c66eae2cec38124d3af5910340f1d466fe | 6abafa74e6d4b3aeeb463efdc897c443919c7e4d | refs/heads/master | 2022-03-15T09:51:00.819026 | 2019-12-01T13:20:36 | 2019-12-01T13:20:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 594 | py | 0002_auto_20191130_1619.py | # Generated by Django 2.2.7 on 2019-11-30 16:19
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('products', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='product',
... |
c4c76178bfe6c5696594274950e48b251b110397 | e47fd6d7d5465b9a4f7b643b082625bafd722910 | /api.py | a74825b8583b385cbbdebb87c6e260ddd639425f | [] | no_license | BlackMalrangcow/BlackMalrangcow-backend | bc6281dd99ddde1194395b5174a912f9531c749f | 601f416233700c22721a5987bcf3093d690c19c9 | refs/heads/master | 2020-04-01T03:49:48.870866 | 2018-10-13T23:57:06 | 2018-10-13T23:57:06 | 152,838,162 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,177 | py | api.py | import os
import re
import psycopg2
import model
from flask import Flask, request, jsonify
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
DATABASE_URL = os.environ['DATABASE_URL']
conn = psycopg2.connect(DATABASE_URL, sslmode='require')
cursor = conn.cursor()
db = model.Database(cursor)
@app.route('/ne... |
3661ab336560bde90054b5fd6614f1fc696aaeeb | db7e551afc838c16abf3dd872b5cadf67cef6ef3 | /ExtractFeature/GetIosGeodesic.py | 2a14793dcdccb06d5a39c1299684d766a5a82176 | [] | no_license | shalppppp/FR | 3171db4ef1ed98025de953a417a0ac8013a090f8 | ac62d04dc2280beaea56978f522daa908cbd83f7 | refs/heads/master | 2023-01-09T12:34:50.188073 | 2020-11-10T08:18:51 | 2020-11-10T08:18:51 | 299,163,590 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,092 | py | GetIosGeodesic.py | import os
import time
import scipy.io as sio
from tools.PCS import *
import h5py
import numpy as np
import pandas as pd
from scipy.interpolate import griddata, interp1d
from tqdm import tqdm
from ExtractFeature.RayLikeCurveMakePictureSet import *
from tools.utils import *
def ReadBntfile(filename):
fp = open(filen... |
f50f512788504b2a89e5e00dca65ac7a3a748718 | 7885efce7642ae39c8ee3215d0fb6617752f6c57 | /Unix Path Resolution.py | 4baa16e05b7d3f20520c87dcd20d7566d9798a13 | [] | no_license | dhhruv/Binary-Search-Solutions | b942c7ec66627058daab23b5dd82202c4ae4ebc1 | 377a8d5d27828274a4c128b3c50f86111ca7d253 | refs/heads/master | 2023-01-21T09:14:07.623583 | 2020-11-26T19:40:18 | 2020-11-26T19:40:18 | 315,567,374 | 18 | 3 | null | null | null | null | UTF-8 | Python | false | false | 386 | py | Unix Path Resolution.py | """
Intuition
If ".." then pop() values from the list else append values till the end of traversal.
"""
class Solution:
def solve(self, path):
ls = []
for i in path:
if i == "..":
if len(ls) != 0:
ls.pop()
elif i == ".":
pas... |
b08a6ab604a4469f0b996ad18abd0e72b6dfeec2 | 1eafa3758cc801cfc14e06fa5034978b38493401 | /chp39.py | 6ba58f92f01fa5eed1bddda36913e55b28a15012 | [] | no_license | Ziadpydev/PythonTutorials | 44772c4a6c0a99687944a72cb3bcae2e835171fa | 7191b5d43ee0a40666ff04e49ab1bc40bc6b4b3b | refs/heads/master | 2020-04-16T14:24:25.593295 | 2019-01-14T13:47:56 | 2019-01-14T13:47:56 | 165,665,684 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 44 | py | chp39.py | import calc
a=9
b=7
print(calc.add(a,b))
|
2483e0a17205c8f75cd59a06fbddb25338cc8704 | 6f21115d9cc72aa9afb95aec554501f835d16899 | /code/incremental_searches.py | 7c1e905ec7ac959f92dc7816ad19b70bf2093a62 | [] | no_license | rocampocastro604/panalysis | 049be3105e267d9cef6cb489ff5060ecbe5da5b6 | d53901d023dbe3f554367952a9f46082c0382b68 | refs/heads/master | 2020-04-02T07:43:10.828446 | 2018-11-20T05:04:56 | 2018-11-20T05:04:56 | 154,211,374 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 529 | py | incremental_searches.py | #NOT WORKING
def same_sign(a, b):
return a*b > 0
def incremental_searches(f, value, delta):
xnew = value + delta
#assert not same_sign(f(value), f(xnew))
for i in range(54):
if same_sign:
value = xnew
xnew = value + delta
else:
print("["+ value , xn... |
cf1f4b73c42a8889d86ca2254e4172c38846e524 | 7650cc823ca17dc26fca057046ae8c116ce25cba | /GUI_App/compare.py | b4d2e832fa0e3de316c85b1a6cbdd51669d6609c | [] | no_license | Budzon/CTMM17 | 8904ce69db4c310aa3fa0ed2b911bab7d3270a56 | 28fe9a768e27487c51283c9935dd03d9fb770089 | refs/heads/master | 2021-09-01T17:08:49.871538 | 2017-12-28T02:16:18 | 2017-12-28T02:16:18 | 104,794,353 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,005 | py | compare.py | # 7. Провести расчет для K равного 10 50 100 200 500 1000.
# 8. На одном графике построить графики времени расчета для различных
# методов в зависимости от числа точек. Подписи по оси X - число точек.
# Подписи по оси Y - время.
# На втором графике построить ускорение во времени работы программы по
# сравнению с самым ... |
5f3fe43c857cd5f1733a99c51b146ee5e73e2f45 | feaac00dc8301807a12124dfcd91ae0b3df16744 | /trainer/trainer_types/trainer_2dt/trainer_triangle2d.py | 14ce83bd5524d133732de8cadd3be9e3c6a68619 | [
"Apache-2.0"
] | permissive | NEISSproject/tf_neiss | 7a79e63f9e4992dcb2605175ae6162af08093d62 | 50df6153d0d1f5d471dd9ec0bc52617805001f79 | refs/heads/master | 2020-11-23T22:23:07.326383 | 2020-04-20T06:58:23 | 2020-04-20T06:58:23 | 227,844,262 | 0 | 1 | Apache-2.0 | 2019-12-16T16:04:44 | 2019-12-13T13:17:28 | Python | UTF-8 | Python | false | false | 1,685 | py | trainer_triangle2d.py | import os
import logging
from trainer.trainer_base import TrainerBase
import model_fn.model_fn_2d.model_fn_2dtriangle as models
import util.flags as flags
from input_fn.input_fn_2d.input_fn_generator_triangle2d import InputFn2DT
# Model parameter
# ===============
flags.define_string('model_type', 'ModelTriangle', 'Mo... |
f1c11f4b5cc029462eb5b6edd7271f7f9d1eaf17 | 3a689f2468da4fa7759474a7de2a7dcbfebdec93 | /python/Week1/Q2.Product_of_Array_Except_Self.py | f45e7298feb2a2c21762fee8d090092dffce317e | [] | no_license | brillianthhj/Algorithm_TIL | f2c674f08ef114000b3b2ba463ae2c7c9abe56ad | 371cb511096094628ccb25ad158581ef7e8b80b7 | refs/heads/master | 2023-08-06T09:39:29.264828 | 2023-07-27T04:39:40 | 2023-07-27T05:00:44 | 216,022,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 896 | py | Q2.Product_of_Array_Except_Self.py | class Solution:
''' O(N) / O(N) '''
def productExceptSelf(self, nums):
length = len(nums)
L = [1] * length
R = [1] * length
ans = [0] * length
for i in range(1, length):
L[i] = L[i-1] * nums[i-1]
for i in range(length-1, 0, -1):
... |
0ac2740e883631c26c5809a242e7cb2f1e9452f0 | 1a85aadba4334dfc07ceaa0085abbe178d7b10df | /app/models.py | 83440cacee614386fedd6d4dee7a9312b2896509 | [] | no_license | DDecoene/ExaBGPmon | 6754d28b169b93f22d11f5c99e2542812eb9f509 | 437c28461e7f5c9526c12266fcb3f825f6d108c9 | refs/heads/master | 2021-01-16T22:36:56.157783 | 2016-06-09T14:55:25 | 2016-06-09T14:55:25 | 60,530,148 | 2 | 0 | null | 2016-06-06T13:30:21 | 2016-06-06T13:30:21 | null | UTF-8 | Python | false | false | 771 | py | models.py | from pymongo import MongoClient
client = MongoClient()
db = client.exabgp_db
bgp_updates = db.bgp_updates
adv_routes = db.adv_routes
bgp_peers = db.bgp_peers
bgp_config = db.bgp_config
peer = { # db.bgp_peers
'ip': '10.10.1.1',
'asn': 65000,
'state': 'up',
'current_prefixes': ['1.1.1.1/32', '200.200.... |
56c68b7945577c0b74ca076f2d3fb3c0b55c0360 | 7c99470676f285a9583e79842d37d74860ecb5e3 | /lstm_client/bin/my_process/manager_uid.py | c7019584eeb6988b95e620bbe8d08968a21075e7 | [] | no_license | weigebushiyao/python-project | c0c06f79265753ca68d65cc555b4ec996e02a3fd | d8affe283922c7d90590c004d539660645ab448d | refs/heads/master | 2022-04-24T17:36:33.560050 | 2020-04-26T07:59:47 | 2020-04-26T07:59:47 | 258,935,949 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,662 | py | manager_uid.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import time
import my_process.global_obj as global_obj
def thread_manager_uid_link():
# 获取需要学习用户信息（执行一次）
learning_data = global_obj.get_uid_from_db(global_obj.uid_status.learning)
if not learning_data == None:
for item in learning_data:
u_id... |
05ee493072ede1febe5a452681233e5a9053b706 | 07ec5a0b3ba5e70a9e0fb65172ea6b13ef4115b8 | /lib/python3.6/site-packages/zmq/backend/cffi/utils.py | fe79f49473e3ba17eb1c99b15b3086827d812d78 | [] | no_license | cronos91/ML-exercise | 39c5cd7f94bb90c57450f9a85d40c2f014900ea4 | 3b7afeeb6a7c87384049a9b87cac1fe4c294e415 | refs/heads/master | 2021-05-09T22:02:55.131977 | 2017-12-14T13:50:44 | 2017-12-14T13:50:44 | 118,736,043 | 0 | 0 | null | 2018-01-24T08:30:23 | 2018-01-24T08:30:22 | null | UTF-8 | Python | false | false | 129 | py | utils.py | version https://git-lfs.github.com/spec/v1
oid sha256:8e82f1cf4edd7fc16caf450e42cc7db8ce927eedce483136022c3823056b805b
size 1487
|
83ba2cd5855c1dfa305d650813c0d7c223fc098a | 7460e871eb0ce9062e56048d330c9a7693e67941 | /Plotting/Throughput/parser_speed.py | b158fa8c7bfc5fda47d1158035babfcb111c274a | [] | no_license | ayourtch/VPP-ACL | 75ad24d2a42c6d56121404655bfa14381cdefca7 | e3b594a3113b0aea57cc4123cb6904803dd1112c | refs/heads/master | 2020-06-04T00:27:51.493674 | 2019-02-26T23:00:11 | 2019-02-26T23:00:11 | 191,795,013 | 0 | 0 | null | 2019-06-13T16:09:21 | 2019-06-13T16:09:20 | null | UTF-8 | Python | false | false | 1,143 | py | parser_speed.py | import sys
import numbers
try:
print("read file: \t" + str(sys.argv[1]))
print("write file: \t" + str(sys.argv[2]))
filenamer = str(sys.argv[1])
filenamew = str(sys.argv[2])
fr = open(filenamer, 'r')
fw = open(filenamew, 'w')
except IndexError:
print("Error: no Filename")
sys.exit(2)
val_line={}
inside=Fals... |
698a3f4bb713618d2c9b06de6335e9a4d6632964 | 84420acc4b8fd295e242a6755813584d65dfb424 | /django-layout/src/python/ovid/tests/tests.py | c414d8c1d89137b384edcaa50415f721289ebd02 | [
"LicenseRef-scancode-public-domain",
"MIT"
] | permissive | rentalita/django-layout | 2605ca863b716dbd1aeb2865188b2c5c410799a1 | a05941c934e62cf9ba0d178dc9f8ccf11fafd19a | refs/heads/master | 2016-09-16T02:24:58.982043 | 2012-05-22T22:59:14 | 2012-05-22T22:59:14 | 2,330,766 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | tests.py | # -*- coding: utf-8 -*-
from .. import development
from .. import production
from .. import urls
# Local Variables:
# indent-tabs-mode: nil
# End:
# vim: ai et sw=4 ts=4
|
8da89d0e80459e3af12186bd4e06fdc8eb3a60b2 | 05e634a232574f676434dfa8e4183f3d0a1a4bc9 | /tutorials/pp-series/HRNet-Keypoint/lib/core/export_utils.py | c1ae5ead943c6118fc065dcb6da9239866dbd586 | [
"Apache-2.0"
] | permissive | PaddlePaddle/models | 67ac00d93c5255ac64a9d80ae5be2e8927e47cee | 8042c21b690ffc0162095e749a41b94dd38732da | refs/heads/release/2.4 | 2023-09-04T15:23:59.543625 | 2023-07-20T11:54:16 | 2023-07-20T11:54:16 | 88,868,842 | 7,633 | 3,597 | Apache-2.0 | 2023-09-05T23:23:54 | 2017-04-20T13:30:15 | Python | UTF-8 | Python | false | false | 3,878 | py | export_utils.py | # Copyright (c) 2021 PaddlePaddle 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 appli... |
2d6b786baf6cdc0229536387344301c641f8d0b4 | 367e7c4e46b5e401525d5e5da7d412b13691faef | /test/cardvalue/放款与各状态数关系.py | 9836a3371daef14a00f5233698104cc867e3ccfb | [] | no_license | xisafe/mypython | 7f1fb218ef811929029059a7d486ad137dfb74c8 | 32900324b7bc5d7c0b473aa68393bb84c9cd4790 | refs/heads/master | 2021-07-23T07:15:07.378741 | 2017-11-03T15:12:31 | 2017-11-03T15:12:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,166 | py | 放款与各状态数关系.py | # encoding=utf-8
import pandas as pd
from myworks import cv_dw
dates = pd.date_range('2015-06-01', periods=200,freq="D")
mssql = cv_dw.MSSQL()
sql2 = """select t.DDate,p.[意向],p1.[新申请],p2.[评估额度完成],p3.[资料审核完成],p4.[签约前审核完成],p5.[批准],p6.[放款] from t_dim_day t
LEFT JOIN(
SELECT creationTime,count(1) 意向 FROM Dim_leads where cr... |
21a24e51413503a67e46fa04e27d952cebf04f01 | 7a453cebb56072d1b0a2da2cd5011b5c5e9ab808 | /detectors/orb_detector.py | 84ecb68b6e94396497229c7c56fb624ef15bed0d | [] | no_license | Andrey-2310/Image-Similarity-Flask | c95902cafc457588508256713619b30d89454148 | 346bd590670d44b71e221fc76c4bbc3c559dbce0 | refs/heads/master | 2020-05-27T03:12:21.163318 | 2019-06-19T14:41:48 | 2019-06-19T14:41:48 | 188,461,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 485 | py | orb_detector.py | import cv2
class OrbDetector:
def __init__(self):
self.orb = cv2.ORB_create()
self.index_params = dict(algorithm=6, # FLANN_INDEX_LSH
table_number=6, # 12
key_size=12, # 20
multi_probe_level=1) #... |
2dee069124ab2e54bd71fb3d2302eb4f02de33b3 | 8f534567573e25da492600bdc21e29b678ec0ae1 | /md2trello.py | b08ebdd1e3298f29d21748820d8a511e99d387e4 | [
"MIT"
] | permissive | jeanCarloMachado/markdown_to_trello | 4453bff9be07187bb8133e6a035e4750ae77736e | f8bd959993ef4a05819cdb3a7a90f988e0665bdb | refs/heads/master | 2020-09-27T19:00:18.091027 | 2019-12-08T11:25:40 | 2019-12-08T11:25:40 | 226,586,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | md2trello.py | #!/usr/bin/env python
import sys
from markdown_to_trello.markdown_to_trello import MarkdownToTrello, SaveCards
content = sys.stdin.read()
cards = MarkdownToTrello(content).convert_to_cards()
SaveCards(board = "Jeans Life", lane = "Today").perform(cards)
|
fa1b9c6fd4dda375017feaffd5b36f49addb1b6b | e9f858ad048da7fc3451af190327eab9beccd2d5 | /setup.py | 9088f349e98951735f8881ecc52042d89a262e6b | [] | no_license | pseudoPixels/vizAI | a17a42fe4dd4c5070489c3a1a50372afddc39425 | 042d4925650b908db71230bfd84bf266cdb0a9f3 | refs/heads/master | 2023-04-15T14:12:21.051012 | 2020-08-03T05:21:05 | 2020-08-03T05:21:05 | 226,988,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 313 | py | setup.py | from setuptools import setup, find_packages
with open('requirements.txt') as f:
DEPENDENCIES = f.read().splitlines()
setup(name='vizAI',
version='0.0.2',
description="vizAI",
license='',
packages=find_packages(),
zip_safe=False,
install_requires=DEPENDENCIES
)
|
b7ede245ff44c1af2e77ba6d889d8d6a67e547f8 | 306a8cd5e54565bf5c5d9bbe16ff31abde0ab772 | /main.py | b24cbe8df41badd8018d9e36f41dd65aa7b1d1ca | [] | no_license | dilsahgursoy/operator | f25fbc851f3bdabe364c456e9053a6466a58218a | af84be27508dadad7d8f43b79adf97e4a0212a29 | refs/heads/main | 2023-03-04T17:41:27.017496 | 2021-02-21T09:49:15 | 2021-02-21T09:49:15 | 340,866,331 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,688 | py | main.py | sms=int(input("Kullandığınız sms sayısını giriniz."))
data=int(input("Kullandığınız data miktarını giriniz."))
if dk<=1000:
if sms<=500:
if data<=5000:
print(tarife)
print(tarifeTutarı)
else:
print(asımTarifesi)
print(f"Tarife aşım: {data-5000} mb'tır... |
168ec20ddc1e0ed84ec4a10d28c0401336cd8be8 | 44e92fa8cd4a12cce6bd27b29abcd5b20fbafee2 | /octavia/amphorae/backends/agent/api_server/osutils.py | 008ed59dfa02c18516ed84c3c5260d262b250821 | [
"Apache-2.0"
] | permissive | sapcc/octavia | 676410861f76b866cf1f90b729657c685a09868f | fe248b973ecbd7f5ba036e2b8b4149fa19dc7f56 | refs/heads/stable/yoga-m3 | 2023-05-25T19:17:49.759850 | 2022-12-15T15:20:21 | 2022-12-15T15:20:21 | 207,777,544 | 0 | 0 | Apache-2.0 | 2023-03-24T19:38:30 | 2019-09-11T09:45:45 | Python | UTF-8 | Python | false | false | 5,159 | py | osutils.py | # Copyright 2017 Red Hat, Inc. 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 applicable law or agr... |
53202a669143964ac3a67d86456c52fe05eb000f | 95d40d13400d76c5b63b06ef587fce46c52b3aa0 | /modules/object_detector/TrainCascade.py | 4bd16ab9fba6862ab78540865a27e948667de8b8 | [] | no_license | yxiao1996/RoboVision | 0349c60a88f75519f13ced51280c9e9757bdbb92 | 44375716db34268377ac5ad2aac6bd2f998845c0 | refs/heads/master | 2021-09-13T19:59:52.403269 | 2018-05-03T16:19:00 | 2018-05-03T16:19:00 | 113,276,812 | 4 | 3 | null | 2018-01-27T03:55:28 | 2017-12-06T06:14:17 | Python | UTF-8 | Python | false | false | 8,074 | py | TrainCascade.py | """
verision: alpha
update: 12-5-2017
author: Aramisbuildtoys
"""
import numpy as np
import cv2
import os
import glob
def _detect_annotation(event,x,y,flags,param):
global DOWN_X, DOWN_Y
global UP_X, UP_Y, DRAW_FLAG
IMAGE = param[0]
if event == cv2.EVENT_LBUTTONDOWN:
DOWN_X = x
DOWN_Y... |
b1b55dcb051e0c60315b16c8cde626998d41a1a9 | 6516f49fd375829d420a550ecfb857b3596c50c3 | /babymaker/batchsubmit/NEW_WORKFLOW/run.py | 8262fc52957a9cc02cea9cad16044e5f7d65badb | [] | no_license | cmstas/MT2Analysis | c2fe67ee19632c1ece6bd41dced72e003914fcca | 8f227858ccf18fb85972feeaadabf5c445d7bebb | refs/heads/master | 2023-08-21T14:45:58.807579 | 2023-08-13T19:41:07 | 2023-08-13T19:41:07 | 17,522,563 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 10,381 | py | run.py | import glob
import os
import subprocess
import socket
import time
import sys
import cPickle as pickle
from utils import *
USER = os.environ["USER"]
# tag = "V00-10-16_2016fullYear"
# tag = "V00-10-16_2017fullYear"
tag = "V00-10-18_2018fullYear"
# tag = "RebalanceAndSmear_V00-10-16_2016fullYear"
# tag = "RebalanceAndS... |
2906a3c8d667b7511dd5598d935286d2d61df594 | eb3c05046e7663edcf23c28f735980b0ae719c8c | /ikea_view/productos_view.py | 8195f83e1c2402aee52c64fee62ed62dc894065b | [] | no_license | PamelaAbrego/IKEA-AvanceFinal | 0e41234df0cb5006dda089a97de797cbafdd84fb | a72488c20d75b206a0e12a1fc29af1b612ecf74d | refs/heads/main | 2023-01-27T17:39:36.393939 | 2020-12-09T00:49:08 | 2020-12-09T00:49:08 | 319,785,883 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,291 | py | productos_view.py | from prettytable import PrettyTable
from ikea_logic.productos_logic import ProductosLogic
from ikea_view.clases_view import tablaClase
class tablaProductos:
def __init__(self):
self.logic = ProductosLogic()
self.getAllProductosView()
def getAllProductosView(self):
productos... |
a4f95ebd602a4212c60d42565b7ecb3282384137 | 9dc652d06b0b5ee3fd95f75f335de96f33da8947 | /potts/prova.py | f11eaf54bb94d00cc81fe78a3a75991ace9411cf | [] | no_license | entangled90/computazionale_m | 24e3175087b14fcb3de4a568185ec271df3fcf8f | a547c9e2607cce2996d032d0014dea974ad4f68f | refs/heads/master | 2016-09-05T12:53:37.817799 | 2014-04-04T15:39:42 | 2014-04-04T15:39:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 577 | py | prova.py | import random as rd
import numpy as np
N = 32
def init( m ,s):
for i in range(N):
for j in range(N):
if (rd.random()<0.5):
m[i][j] = 1
else:
m[i][j] = -1
s[i][j]=-1
def get_neighbours (m,s, i,j):
c = set(range(-1,1))
n = set()
for x in c:
for y in c:
xx =
yy = (j+y+N)%N
if s[(i+... |
ed28aa2ad76d474b185b2c960f2c5693cb673771 | 363f7c43dbbf36cec32c83a8d95d410d5715b39b | /7-kyu/make-a-box.py | cd31f2014973f8f70ac5915af12abd56a610682c | [] | no_license | artbohr/codewars-algorithms-in-python | cffc7c24d141c8ca1f313405486835cb74616009 | 1cb87c5b74076556ce649eb615dd2a3d3c51b437 | refs/heads/master | 2021-06-17T10:11:18.872347 | 2019-10-29T16:21:32 | 2019-10-29T16:21:32 | 104,100,778 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 366 | py | make-a-box.py | def box(n):
output = ['-' * n]
for x in range(n-2):
output.append('-' + ' ' * (n-2) + '-')
return output + ['-' * n]
'''
Easy; Make a box
Given a number as a parameter, return an array containing strings which form a box.
Like this:
n = 5
[
'-----',
'- -',
'- -',
'- -',
'-----'... |
974a381f29faa40e363078299cba765f862d5408 | 66cbd55c128be7c3abbd09fd4e17c122a1a316c5 | /arbol_invo.py | 44003bf4c623a4d8817c5f09cdb00a445f1a653c | [] | no_license | FranciscoPereira987/TpAlgo1 | ad2a43ff32ea524e50f9df889ea78438fe4124c8 | 0ed948fb5a1dd8e3071402f61b334a6eed1798cb | refs/heads/master | 2022-12-03T03:13:42.077689 | 2020-08-11T19:12:13 | 2020-08-11T19:12:13 | 275,023,333 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,344 | py | arbol_invo.py |
def rellenar_dict(archivo, diccionario):
"""
[Autor: Augusto D'Avola ]
[Ayuda: Rellena el diccionario de llamadas a funcion con 0
en todas las funciones]
"""
with open(archivo, 'r') as archivo_codigo:
for linea in archivo_codigo:
linea = linea.split(',')
diccion... |
9ab024f82b36e2b570b6ef3828f34084a9247b6b | f2dbe1387c57a99f80dc33bb5316f7991455aa68 | /imgs/svg/MRR/mrr_cp.py | fac6a8bebcab22fa86eca8f510221a035a91c367 | [] | no_license | dapingQ/master-thesis | 3fe0edd37ff7a83b81e4209774c34c5dd9ed7bc8 | 0cbb4b754341a34d2ac5211927383328f790fb98 | refs/heads/master | 2022-11-10T14:40:43.507981 | 2020-01-31T01:56:57 | 2020-01-31T01:56:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,045 | py | mrr_cp.py | import numpy as np
import matplotlib.pyplot as plt
plt.style.use('classic')
a = .9
r = .9
def trans(x, a, r):
return (a**2-2*a*r*np.cos(x)+r**2)/(1-2*a*r*np.cos(x)+a**2*r**2)
x = np.linspace(-3*np.pi, 3*np.pi, 500)
aList = [0.9, 0.5]
rList = [0.9, 0.8]
linestyles = ['-', '--', '-.', ':']
fig, ax = plt.subplots(f... |
841e0c906632972e4cd1ca7ee52f375e4cb4810c | d8522d4045e9fd04c82ae28c0be37f20cd99cac3 | /config/production.py | 6fe8efd824f204b91a493cc081c2584d760d93f4 | [] | no_license | AuTa/aniseed | 3c1dd9b2cff3c0c4403633006e426fc66ab6ca06 | b5f2da6a3450531b4337aa24f6e572132d34589f | refs/heads/master | 2021-01-11T11:56:49.866251 | 2016-12-17T03:22:19 | 2016-12-17T03:22:19 | 76,701,292 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | production.py | # coding: utf-8
import os
basedir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
SQLALCHEMY_DATABASE_URI = os.environ.get('DEV_DATABASE_URL') or \
'sqlite:///' + os.path.join(basedir, 'data.db') |
d0b24bca30c283f9b5a707ccccc582995bd51f4c | 789e0a2a9759f3d3e5b0ed7c319567da5fa342da | /src/test_steer_twist.py | 5c80adef4021555ee396586e2f35341141e13cc4 | [] | no_license | swane/ceres | 5c453be0dfbe9cbd1fda91722de49c46d12a2fc5 | ccba36ffca2596575d65cb990929021c40401b98 | refs/heads/master | 2023-03-18T16:33:30.273943 | 2023-03-11T17:58:25 | 2023-03-11T17:58:25 | 233,298,333 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,711 | py | test_steer_twist.py | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
from math import pi, sin, cos, tan, sqrt, atan2
from geometry_msgs.msg import Twist
from std_msgs.msg import Float64
from std_msgs.msg import Int16
from latlongtoutm import *
from sensor_msgs.msg import NavSatFix, NavSatStatus, Imu
from ublox_msgs.msg... |