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import dns
import dns.name
import dns.query
import dns.resolver
import sys
root_server_list = ['198.41.0.4',
'192.228.79.201',
'192.33.4.12',
'199.7.91.13',
'192.203.230.10',
'192.5.5.241',
'192.112.... |
"""solve module"""
import ast
import operator
def solve(expr: str) -> int:
"""solve_"""
binops = {
ast.Add: operator.add,
ast.Sub: operator.sub,
ast.Mult: operator.mul,
ast.Div: operator.floordiv,
ast.Mod: operator.mod
}
node = ast.parse(expr, mode='eval')
... |
#encoding: utf-8
'''
https://www.geeksforgeeks.org/find-minimum-difference-pair/
Find minimum difference between any two elements
Given an unsorted array, find the minimum difference between any pair in given array.
Examples :
Input : {1, 5, 3, 19, 18, 25};
Output : 1
Minimum difference is between 18 and 19
In... |
```
###################################################################################################################
############################### Phase-2: Converting it into a classification Problem ##############################
####################################################################################... |
from ..shimmer import shimmer
from ..data import get_bigbed_data
class BAISContig(object):
def __init__(self,seqcache):
self.seqcache = seqcache
def contig_shimmer(self,chrom,leaf):
return self._contig_full(chrom,leaf,True,False)
def contig_normal(self,chrom,leaf,seq):
return self... |
from axiom.test.historic.stubloader import saveStub
from xmantissa.people import AddPerson
def createDatabase(s):
AddPerson(store=s)
if __name__ == '__main__':
saveStub(createDatabase, 10664)
|
# CAPP 30254 Machine Learning for Public Policy
# Homework 5 - Improving the Pipeline, Again
# Pipeline Library - Preprocessing functions
#########
# SETUP #
#########
import math
import datetime
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
#####################
# PRIM... |
def shift(lst, steps):
if steps < 0:
steps = abs(steps)
for i in range(steps):
lst.append(lst.pop(0))
else:
for i in range(steps):
lst.insert(0, lst.pop())
a = [1,2,3,4,5,6,7,8]
b = 8
shift(a,b)
|
import math
from time import time
def isPrime( n ):
if n % 2 == 0 and n > 2: return False
return all(n%i for i in range(3, int(math.sqrt(n))+1, 2))
guess=3
primeCount=1
t=time()
while primeCount<10001:
if isPrime(guess):
primeCount+=1
if primeCount==10001:break
guess+=2
print "time",time()-t,"\nanswer... |
from . import SensorReader, MemorySensorObserver
import grovepi
import atexit
import grove_rgb_lcd
from collections import OrderedDict
import math
import smbus
import RPi.GPIO as GPIO
from grove_i2c_barometic_sensor_BMP180 import BMP085
class GroveSensorReader(SensorReader):
def __init__(self, key, pin=None):
... |
import socket
import io
import struct
import time
import subprocess
import sys
import threading
import signal
import Queue
NUMBER_OF_THREADS = 2
JOB_NUMBER = [1,2]
queue = Queue.Queue()
class Client(object):
def __init__(self):
self.server_address = ""
self.tcp_port = 6000
self.tcp_g... |
# -*- coding: utf8 -*-
from app.db import db_session, engine
from app.db.room import Room, user_in_room, OneToOneRoom
from app.db.message import Message
from app.db.user import User
from sqlalchemy import update
from datetime import datetime
def get(id):
return db_session.query(Room).get(id)
def findByName(name)... |
with open("day8.txt", "r") as fin:
data = fin.read().strip().split('\n')
regs = {}
for l in data:
ll = l.split(' ')
reg, op, val, target, cmp, cval = ll[0], ll[1], int(ll[2]), ll[4], ll[5], int(ll[6])
if reg not in regs:
regs[reg] = 0
if target not in regs:
regs[target] = 0
ok = False
if cmp ... |
# Generated by Django 3.0.4 on 2020-03-06 13:40
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('colegio', '0006_curso_profesor'),
]
operations = [
migrations.CreateModel(... |
import numpy as np
import cv2
class CannyEdgeDetection:
def __init__(self, path):
"""
:param path: Path of the image
"""
self.image = cv2.imread(path) # reading the image from path in OpenCV - format BGR
# initialize number of channels
self.n_channels = 0
... |
# Copyright (C) 2013 Sony Mobile Communications AB.
# All rights, including trade secret rights, reserved.
import os
import sys
import copy
import traceback
import json
import ave.config
from ave.relay.server import RemoteRelayServer
from ave.relay.resource import Relay
from ave.network.exceptions impor... |
from math import sqrt
from os import system
import ROOT
from ROOT import TFile,kRed,kBlue,TCanvas,TLegend,kWhite,kGreen,kFALSE,kBlack,kViolet,kOrange,TLine
ROOT.gROOT.SetBatch()
ROOT.gROOT.LoadMacro("tdrstyle.C");
ROOT.gROOT.ProcessLine( 'setTDRStyle();')
#setTDRStyle()
ROOT.gROOT.LoadMacro("CMS_lumi.C+");
#f=TFile('d... |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Bureau_Code.department'
db.add_column(u'omb_codes_bureau_code', 'department',
... |
# Generated by Django 2.2.6 on 2019-10-29 20:07
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('g_golf', '0008_auto_20191029_1950'),
]
operations = [
migrations.AddField(
model_name='hole',
... |
from __future__ import print_function
from __future__ import division
import tensorflow as tf
import numpy as np
import time
import argparse
from model import Model, Config
import properties as p
import utils
def main(model):
global config
print('Testing task: %s ' % config.task_id)
# create model
... |
lineList = [line.rstrip('\n') for line in open('bip39_en_words.txt')]
p = 31 #słowo startowe
s = 78 #skok
for i in range(24):
try:
print(i + 1, p, lineList[p - 1])
p += s
except IndexError:
print("poza zakresem, dostosuj parametry")
break
|
import pygame,time,random
pygame.init()
display_width=800
display_height=600
black=(0,0,0)
red=(255,0,0)
white=(255,255,255)
car_width=69
carImg=pygame.image.load("carImage.png")
gameDisplay=pygame.display.set_mode((display_width,display_height))
pygame.display.set_caption('Avoid Game')
clock=pygame.time.Clock()
d... |
from django.db import models
from .question import Question
class Choice(models.Model):
question = models.ForeignKey(
Question,
on_delete=models.CASCADE,
)
choice_text = models.CharField(
max_length=200,
)
votes = models.IntegerField(
default=0,
)
def __st... |
# -*- coding: utf-8 -*-
import multiprocessing, os
from time import sleep, ctime
def info(title):
print ('title is %s' %title)
print ('module name:', __name__)
if hasattr(os, 'getppid'):
print ('parent process:', os.getppid())
print ('process id:', os.getpid())
def music(name, time=3):
... |
#!/usr/bin/env python
# written by brady [r3dact3d]
import tweepy, os
from config import *
# Set up OAuth and integrate with API
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
api = tweepy.API(auth)
def tweet():
cmd = 'fortune -sae'
proc = os.popen... |
#%%
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
import re
import string
import math
#%%
song1 = open(".\lab8\song1.txt","r").read()
#%%
song2 = open(".\lab8\song2.txt","r").read()
# %%
def word_count(document):
word_count_dictionary = dict()
# This ste... |
from django.contrib import admin
from products.models import *
class CategoryInLine(admin.TabularInline):
model=Category
extra=1
#class IdentificationInLine(admin.TabularInline):
# model=Identification
# extra=1
class MarketInterestInLine(admin.TabularInline):
model=MarketInterest
extra=1
#class FeatureIntera... |
#!/usr/bin/python
#
# This software is licensed to you under the GNU General Public License,
# version 2 (GPLv2). There is NO WARRANTY for this software, express or
# implied, including the implied warranties of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. You should have received a copy of GPLv2
# along with... |
import numpy as np
import cv2
import glob
import os
os.chdir(".")
default_save_dir = 'processed/'
if not os.path.exists(default_save_dir):
os.makedirs(default_save_dir)
##mouse callback function
mode = 1
drawing = False # true if mouse is pressed
def update_mask(event,x,y,flags,param):
global drawing,mask... |
import xlwt
def write_to_xlsx(data: dict, column_headers: list, rows_headers: list):
book = xlwt.Workbook(encoding="utf-8")
sheet = book.add_sheet("Matching", cell_overwrite_ok=True)
for x, column_header in enumerate(column_headers):
sheet.write(0, x + 1, column_header)
for y, rows_heade... |
from address import Address
from telephone import Telephone
from contact import Contact
import json
import utils.attributes_values as utilsattr
def show_menu():
print('''Menu
1) Show contact
2) New contact
3) Delete contact
4) Show all contacts
5) Exit''')
def show_find_menu():
print('''Find contacts
... |
import requests
import json
def get_commits(github_id, repo):
"""Retrieve the commits for a specific user repository, using the Github API"""
url = 'https://api.github.com/repos/{}/{}/commits'.format(github_id, repo)
response = requests.get(url)
todos = json.loads(response.text)
commit_... |
from django.contrib.auth import authenticate
from django.contrib.auth import login
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.views import LoginView, PasswordChangeView, PasswordChangeDoneView
from django.urls import reverse_lazy
from django.views import generic
from accounts.fo... |
from .auth import CommonInterfaceAuth
from .vnfpkgm import CommonInterfaceVnfPkgm
from .nsd import CommonInterfaceNsd
from .nslcm import CommonInterfaceNslcm
from .nsfm import CommonInterfaceNsfm
from .nspm import CommonInterfaceNspm
from .sonpackage import CommonInterfaceSonPackage
from .database import CommonInterfac... |
# sympyをインポート
import sympy
# 記号xを定義
sympy.var('x y z d epsilon alpha x0 y0 z0')
# f(x)を定義
dist = (d - x*x0 - y*y0 - z*z0) / epsilon
theta = sympy.acos(x*x0 + y*y0 + z*z0) / alpha
f = sympy.exp(-dist ** 2) + sympy.exp(-theta**2)
# f(x)を偏微分
df_dx = sympy.diff(f, x, 1)
df_dy = sympy.diff(f, y, 1)
df_dz = sympy.diff(f,... |
# importing the requests library
import requests
import json
import time
import pandas as pd
import numpy as np
import base64
#https://www.toptal.com/python/in-depth-python-logging#:~:text=Python%20Logging%20Best%20Practices&text=Here%20are%20the%20best%20practices,root%20logger%20behind%20the%20scene.
import sys
i... |
from unittest import TestCase
from algorithmRunners import launch
path = "/tmp/parallelGA/examples"
class TestParallel(TestCase):
def testFineGrained(self):
executable = "runFineGrainedExample.py"
launch(["localhost"], 10, path, executable)
def testCoarseGrained(self):
executable = "... |
import datetime
def set_all_indicators(candle_list):
set_candle_gain(candle_list)
set_average_gain(candle_list)
set_rs(candle_list)
set_rsi(candle_list)
set_ema(candle_list, 12)
set_ema(candle_list, 26)
set_macd(candle_list)
set_avg_rsi_high(candle_list)
set_avg_rsi_low(c... |
# https://codingbat.com/prob/p117019
"""
Given 2 int values greater than 0, return whichever value is nearest to 21 without going over. Return 0 if they both go over.
blackjack(19, 21) → 21
blackjack(21, 19) → 21
blackjack(19, 22) → 19
"""
def blackjack(a: int, b: int) -> int:
valids = [i for i in [a, b] if 21 ... |
import networkx as nx
import matplotlib.pyplot as plt
import random
import copy
import numpy as np
import pylab
import math
import pickle
# The following function creates a graph that creates a graph that follows the preferential attachment model.
# networkx library comes with a different implementation of... |
from enum import Enum
class PurchaseType(Enum):
ROAD = 0
SETTLEMENT = 1
CITY = 2
DEV_CARD = 3
|
notas = []
for x in range(3):
while True:
try:
nota = float(input("ingrese nota" + " " + str(x+1) + "="))
if nota>10 or nota<0:
print("solo numeros entre 0 y 10")
continue
else:
notas.append(nota)
break
... |
def getMatrix(rotation, shear, height_zoom, width_zoom, height_shift, width_shift):
# Convert data to radians
rotation = math.pi * rotation / 180.0
shear = math.pi * shear / 180.0
def get_3x3_mat(lst):
return tf.reshape(tf.concat([lst],axis=0), [3,3])
# Rotation matrix
c1 = tf.math.cos(rotation)... |
import requests
import json
import sys
def postMessage(midi_file):
authkey = "Bearer xoxp-672670374340-709681237543-701524491505-cd8aae979ae71c4809b442a821d59ccc"
url = "https://slack.com/api/chat.postMessage"
headers = {"Content-Type":"application/json", "Authorization":authkey}
body = {'text':'sing ... |
import json
from random import randint
from copy import deepcopy
from netaddr import *
import pathlib
from deepdiff import DeepDiff
DEBUG = False
PDEBUG = False
def convert_well_known_communities(community):
"""Convert well known communities from string to ASPLAIN"""
comm_map = {
"No-Export": "65535:... |
import json
import requests
from bs4 import BeautifulSoup
from flask import Flask
from scraper.scraper import Scraper
app = Flask(__name__)
@app.route('/<string:term>')
def get_result(term):
# get links for 5 fiver results from Google
result = Scraper.scrape_google(search_term=term)
pages = []
for ... |
import os
import pickle as pkl
import sys
import bokeh
import numpy as np
import pandas as pd
from bokeh.layouts import column, gridplot
from bokeh.models import BoxZoomTool, HoverTool, ResetTool, TapTool
from bokeh.models import ColumnDataSource
from bokeh.models.callbacks import CustomJS
from bokeh.plotting import F... |
class User(object):
def __init__(self, name, email):
self.name = name
self.email = email
self.books = {}
#dict is {Book(object): rating}
def get_email(self):
return self.email
def change_email(self, address):
self.email = address
#takes in a ... |
"""
Bubble Sort é um algoritmo de ordenação que pode ser aplicado em Arrays e
Listas dinâmicas. Se o objetivo é ordenar os valores em forma decrescente,
então, a posição atual é comparada com a próxima posição e, se a posição
atual for maior que a posição posterior, é realizada a troca dos valores
nessa posição. Ca... |
from gym_jsbsim.task import Task
from gym_jsbsim.catalogs.catalog import Catalog as c
from gym import spaces
import math
import random
import numpy as np
"""
@author Joe Williams
A task in which the agent must perform steady, level flight maintaining its
initial heading. Once the agent has been on heading... |
import os
import sys
import logging
from logging.handlers import RotatingFileHandler
from config import Config
logger = logging.getLogger("Rotating Log")
logger.setLevel(Config.LOG_LEVEL or "DEBUG")
handler = None
if Config.LOG_FOLDER and Config.LOG_NAME:
try:
os.makedirs(Config.LOG_FOLDER, exist_ok=True... |
from .client import Rainforest, requests, RainforestError
from mock import Mock
from .models import TestRun
from requests import Response
from unittest import TestCase
class TestRainforest(TestCase):
def test_init(self):
rainforest = Rainforest('CLIENT_TOKEN')
self.assertEqual(rainforest.client_to... |
import pytest
from pages.login_page import LoginPage
@pytest.fixture(scope='function')
def open_login_page(get_driver):
print('Opening main page')
return LoginPage.open(get_driver)
@pytest.mark.login
@pytest.mark.parametrize("username,password", [("standard_user", "secret_sauce"), ("problem_user", "secret_s... |
"""Select podcast file from the gui.
Here is where the selection is happening.
GUI can select or or more file at once. If selection is only 1 file, then its
going to check for other podcast in the same directory comparing the file
modification date.
# TODO: should update this could do better
# It also check whetever... |
#!/usr/bin/env python
# encoding: utf-8
# -*- coding:UTF-8 -*-
import os
import re
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import xlrd
zhaohang = {
"工商信息": [3, 33], "开庭公告": [34, 119], "裁判文书": [120, 149], "法院公告": [150, 151],
"被执行人": [152, 173], "失信": [174, 174],
"审判流程": [175, 179], "欠税信息": ... |
#!/usr/bin/env python3
#
# Author: Alfin Akhret <alfin.akhret@gmail.com>
# Implementation of HTTP/1.0 and HTTP/1.1
class HTTPUtils():
def __init__(self):
pass
def check_host_header(self, request_header):
"""Host header is required in HTTP/1.1
Any request that came without it will get '... |
from ..tools import convert_from, warning
from ..wiki import wikipedia_to_dbpedia
from .model import canton, collectivite, departement, region, arrondissement, commune, epci, iris
from .model import contours_etalab, COMMUNES_START, openfla
@arrondissement.extractor(openfla('arrondissements-20131220-100m'))
def extra... |
from django import forms
from ap.apps.events.models import Event
class EventManagementForm(forms.ModelForm):
class Meta:
model = Event
fields = [
'title',
'event_type',
'about',
'start',
'place_name',
'city',
'st... |
import scraperwiki
import lxml.html
# next line uses the scrape function from the scraperwiki library, applies it to the url in "" and stores it as object in html
html = scraperwiki.scrape("http://uk.soccerway.com/teams/netherlands/fortuna-sittard/")
# print html
# next line takes the fromstring function from the lx... |
def quick_sort(array):
if len(array) < 2:
return array
pivot = array[0]
less = []
greater = []
#print("Length: ", len(array))
for lNum in array[1:]:
if lNum < pivot:
less.append(lNum)
for gNum in array[1:]:
if gNum > pivot:
gre... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2018 weihao <blackhatdwh@gmail.com>
#
# Distributed under terms of the MIT license.
from sklearn.ensemble import AdaBoostClassifier
from sklearn.externals import joblib
def test(X):
model = joblib.load('model.pkl')
return model.p... |
import tensorflow as tf
import keras
import pickle
import argparse
import random
import numpy as np
from pool import Pool
parser = argparse.ArgumentParser()
parser.add_argument("-gen", "--generate", help="Generate Workers")
parser.add_argument("-sav", "--save", help="Save Directory")
parser.add_argument("-rt", "--re... |
import deluca
def convert_sim(sim):
sim.__class__ = deluca.lung.environments.StitchedSim
sim.inspiratory_model.__class__ = deluca.lung.utils.sim.nn.InspiratoryModel
sim.inspiratory_model.default_model.__class__ = deluca.lung.utils.sim.nn.SNN
for key in sim.inspiratory_model.boundary_dict:
if ... |
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# CISCO-PORT-CHANNEL-MIB
# Compiled MIB
# Do not modify this file directly
# Run ./noc mib make_cmib instead
# ----------------------------------------------------------------------
# Copyright (C) 2007-2018 The... |
#!/usr/bin/env python
#Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed... |
import curses
import os
import csv
import time
import hashlib
import graficar
class menu:
def __init__(self, window):
self.window = window
def pintarmenu(self):
self.window.addstr(15, 41, "1. INSERTAR BLOQUE")
self.window.addstr(16, 39, "2. SELECCIONAR BLOQUE")
self.window.... |
from flask import Blueprint, jsonify, request, session
from flask_login import current_user, login_required
import jieba, json, numpy as np
from pypinyin import pinyin
from app import db, admin_required
from app.chinese import segment
import app.mod_passages.errors as errors
from app.mod_passages import Passage, Chine... |
import requests
import os
import datetime as dt
# -------------------- SETUP CONSTANTS -------------------- #
USERNAME = "cloudbreak"
pixela_token = os.environ.get("PIXELA_TOKEN")
GRAPH_ID = "graph1"
headers = {
"X-USER-TOKEN": pixela_token
}
# -------------------- ACCOUNT CREATION PER API DOCUMENTATION --------... |
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 18 22:35:49 2018
@author: ashutosh
Simple LSTM for Sequence Classification of Movie Reviews
"""
import numpy as np
import pandas as pd
from keras.datasets import imdb
from keras.models import Sequential
from keras.layers import Dense, LSTM
from keras.layer... |
# Wade Polo 2/10/14
# Starting out with Python pg. 78-79 #9
# Celsius to Fahrenheit Temperature Converter
# Takes input of temperateures in Celsius, calculates the Fahrenheit conversion, then displays the result
ctemp = float(input('What is the temperature in degrees Celsius? ')) #asks for celsius temp
ftemp = (((9 / ... |
# to reproduce Fig. 5.2
# plays blackjack with infinite deck
# evaluates the policy of sticking on 20 or 21
# uses every visit monte carlo evaluation
import gym
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import pickle
env = gym.make('Blackjack-v0')
episodes = 3000000
nu... |
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import filecmp
import os
import shutil
import tempfile
from colcon_bundle.verb.utilities import update_shebang
class TestUtilities:
def setup_method(self, method):
self.tmpdir = tempfile.mkdte... |
import csv
import json
import logging
import os
import re
import LittleSister.Database as Database
import pandas
from LittleSister.Database.DeputiesElection import DeputiesElection
class DeputiesProbabilityTable(Database.Database):
path = Database.path / "DeputiesProbabilityTable/"
name_format = "{}_{}_{}.c... |
import unittest, sys
sys.path.append('..')
from foursumII import Solution
class TestFourSumII(unittest.TestCase):
def setUp(self):
self.s = Solution()
def test_four_sum_count(self):
case_one = [[1,2],
[-2,-1],
[-1,2],
[0,... |
import numpy as np
import matplotlib.pyplot as plt
import sklearn.linear_model as lm
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import PolynomialFeatures
def non_func(x):
y = 1.6345 - 0.6235*np.cos(0.6067*x) - 1.3501*np.sin(0.6067*x) - 1.1622 * np.cos(2*x*0.6067) - 0.9443*np.s... |
import os
import sys
base = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')
sys.path.append(base)
from model_builder import ModelBuilder
def test_resnet():
model_builder = ModelBuilder(10, pretrained=False)
print(model_builder.available_models)
model = model_builder['resnet50']
print... |
import textract
import PyPDF2
def read_pdf(file_name: str = '') -> str:
"""
Reader for .pdf files
:param file_name: file name
:return: text from a file
"""
pdf_reader = PyPDF2.PdfFileReader(file_name)
page_obj = pdf_reader.getPage(0)
raw_text = page_obj.extractText()
return raw_tex... |
name = "Jake"
gender = "Male"
color_eye = "Brown"
color_hair = "Black"
residence = "South Korea"
occupation = "Teacher"
hobby = "Fishing"
specialty = "Shooting"
favorite = "Movie"
animal = "Dog"
|
from django.shortcuts import render,get_object_or_404
from .models import Blog
# Create your views here.
def index(request):
var_1 = Blog.objects.all()
return render(request, 'blog/index.html', {'var_1':var_1})
def detail(request, blog_id):
detail_home = get_object_or_404(Blog, pk=blog_id)
return re... |
import tweepy
import oauth
"""Script to move everyone you're following onto a list"""
api = oauth.create()
# pull list of friends
friends_list = api.friends_ids()
num_of_friends = len(friends_list)
# figure out how many lists you need
print 'number of friends: ', num_of_friends
num_of_lists = int(round(num_of_frien... |
# coding: utf-8
"""
Masking API
Schema for the Continuous Compliance Engine API # noqa: E501
OpenAPI spec version: 5.1.18
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Autheur: Matthieu Riou <matthieu.riou@etu.univ-nantes.fr>
# Version: v0.1
# Versions de python supportées: 3.3+
# Dépendances: icalendar, requests (pip install ; utiliser virtualenvwrapper)
# Notes: Pour choisir les groupes, aller remplir la fonction à la toute
# fin du ... |
#!/usr/bin/python3
'''
This is the '10-my_github' module.
10-my_github takes your Github credentials (username and password) and
uses the Github API:
(https://developer.github.com/v3/users/#get-the-authenticated-user)
to display your id
Assignment Requirements:
* You must use Basic Authentication to access to your i... |
km = float(input('Qual é a distância do seu destino?\n'))
if km <= 200:
print('O valor de sua passagem é de R${:.2f}.'.format(km * 0.5))
else:
print('O valor de sua passagem é de R${:.2f}.'.format(km * 0.45))
print('Boa Viagem!!') |
# Import functions
from cohortextractor import (
StudyDefinition,
patients,
codelist_from_csv,
codelist,
Measure
)
# Import codelists
from codelists import *
from datetime import date
start_date = "2020-12-07"
end_date = "2021-04-30"
# Specifiy study definition
study = StudyDefinition(
def... |
import json
import subprocess
import sys
import os
try:
distobjs = subprocess.check_output([sys.executable, '-m', 'pip', 'list', '--disable-pip-version-check', '--format=json'])
distobjs = distobjs.decode("utf-8")
distobjs = json.loads(distobjs)
dists = {}
for obj in distobjs:
dval = {}
... |
import torch
from torch.autograd import Variable
import numpy as np
import random
import torch.nn.functional as F
import _pickle as cPickle
import matplotlib.pyplot as plt
import math
# Custom functions
from Buffer import Buffer, Episode_Buffer
from RDQN_net import RDQN_net
from GymScreenProcessing import GymScreenPr... |
import numpy as np
import operator
import sys
from math import log
from collections import Counter
|
# Generated by Django 2.2.5 on 2019-09-18 18:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('articles', '0010_auto_20190916_1936'),
('articles', '0005_auto_20190914_2315'),
]
operations = [
]
|
print('-=' * 20)
print('MAIOR OU MENOR?')
print('-=' * 20)
op1 = int(input('Digite um número inteiro: '))
op2 = int(input('Digite outro valor inteiro: '))
if op1 > op2:
print('O PRIMEIRO número é o maior.')
elif op2 > op1:
print('O SEGUNDO número é o maior')
else:
print('Os dois números são ig... |
#!/bin/python
######################################
# calculate using sklearn TruncatedSVD
#
# Author: Fabian Buske (13/01/2015)
######################################
from scipy.sparse import lil_matrix
from scipy.sparse import csr_matrix
import numpy
import regex, os, sys, errno, re
import argparse
from sklearn.dec... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 20 10:31:30 2018
@author: adityanalge
"""
def allocate_half(x):
return int(x//2)
def num_teams():
while True:
teams = input("Enter Number of Teams :\n")
try:
teams = int(teams)
return teams
break... |
from __future__ import print_function, division
import os
import sys
import time
from glob import glob
from collections import OrderedDict
import numpy as np
from keras import backend
from keras.models import Input, Model, load_model
from keras.optimizers import Adam
from keras_contrib.layers.normalization import In... |
import random
from django.core.exceptions import ObjectDoesNotExist
from django.db import IntegrityError
from django.utils.datastructures import MultiValueDictKeyError
from rank.models import Rank
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.p... |
import random
import re
import datetime
import json
import hashlib
class Valitsin:
def __init__(self):
self.commands = {}
def getCommands(self):
return self.commands
def makeDecision(self, bot, update, alternatives):
now = datetime.datetime.now()
data = [
updat... |
import re
import os
import sys
import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.backends.backend_pdf
import logging
import pylab
from dag4pkg import *
dag = Dag4pkg()
deplist = []
namelist = []
nodes_set = set()
nodes_set_two = set()
def visual_dag(arg1, arg2):
"""Function to get dag as a g... |
import simpy
import random
class SimuladorProcesos:
def __init__(self, env):
self.cpu = simpy.Resource(env, capacity=1)
self.memoria_ram = simpy.Container(env, init=100)
def generador_de_procesos(env, cantidad, intervalo_de_procesos, simulador_de_procesos):
for i in range(cantidad):... |
#!/usr/bin/env python
# coding: utf-8
# In[7]:
nums = [1,2,3,4,5]
a=sum(nums)/len(nums)
#리스트의 합을 구하는 sum과 리스트의 수를 구하는 len을 사용한다.
print(a)
# In[ ]:
|
class Character(object):
def __init__(self, chrdes, name, talk, sectalk):
self.name = name
self.chrdes = chrdes
self.talk = talk
self.sectalk = sectalk
self.hungry = True
self.luck = False
def eat(self):
if self.hungry:
print("You are eaten.")... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
The test of make dataset
"""
import os
import numpy
from pylearn2.gui import patch_viewer
from pylearn2.utils import serial, string_utils
from pylearn2.datasets import preprocessing
from data import cifar10
"""
get data
"""
# make output dir
output_dir = os.path.abspath... |
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