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# Webhooks for external integrations. import re from typing import Dict, List, Optional, Tuple from django.http import HttpRequest, HttpResponse from zerver.decorator import authenticated_rest_api_view from zerver.lib.request import REQ, has_request_variables from zerver.lib.response import json_success from zerver.l...
import os import sys import time os.system("sudo service apache2 stop") time.sleep(5) print "apache2 stopped" os.chdir("/home/pi/node-rtsp-rtmp-server") os.system("./start_server.sh &") print "streaming server starting" time.sleep(40) print "streaming server started" os.chdir("/home/pi/picam") os.system("./picam -...
variables = {} variables["app.name"] = "Microbe" variables["year"] = "2011" variables["author"] = "Alexandre Deckner <alex@zappotek.com>" variables["app.class"] = "App" variables["main.view.class"] = "MainView" variables["main.window.class"] = "MainWindow" variables["app.signature"] = "application/x-vnd.Haiku-" + vari...
import time import base64 import uuid from fastapi import APIRouter,Request from base import get_base_resp dynamic_data_router = APIRouter(prefix="/dynamic-data", tags=["Dyncmic Data"]) @dynamic_data_router.get("/base64/{value}") async def get_base64_value(value:str="SFRUUEJJTiBpcyBhd2Vzb21l"): resp_text = "Inco...
from django.shortcuts import render from rest_framework import viewsets,generics,mixins from django.views.generic import DetailView,ListView from .serializers import AssetSerializer,ServerSerializer,TreeNodeSerializer,IDCSerializer from .models import Asset,Server,TreeNode,IDC from .page import StandardResultsSetPagin...
# query string -> "http://www.example.com?key1=value1&key2=value2" # it is this part after question mark # we can check options for requests on "https://icanhazdadjoke.com/api" import pyfiglet from random import choice import requests url = "https://icanhazdadjoke.com/search" def print_f(text_to_print, color="MAGE...
#100-999之间的水仙花数 for item in range(100,1000): ge=item%10 shi=item//10%10 bai=item//100 #print(ge,shi,bai) if ge**3+shi**3+bai**3==item: print(item,'is a flower.')
''' Module providing the `Synapses` class and related helper classes/functions. ''' import collections from collections import defaultdict import functools import weakref import re import numbers import numpy as np from brian2.core.base import weakproxy_with_fallback from brian2.core.base import device_override from...
from localground.apps.site.tests.views.print_tests import * from localground.apps.site.tests.views.forms import * from localground.apps.site.tests.views.map_tests import * from localground.apps.site.tests.views.profile_tests import * from localground.apps.site.tests.views.sharing_tests import * from localground.apps.si...
'''usuario = { 'nombre':'juan perez', 'domicilio':{ 'calle':'Calle Falsa 123', 'localidad':'Saenz Peña' }, 'nivel':'basico' } print(usuario['domicilio'].get('localidad')) ''' ''' verduras =['papa','cebolla','rucula','batata','lechuga'] #contador=0 for contador, una_verdura in enumerate(...
# from networkx.generators import random_clustered import numpy as np import logging import sys import matplotlib.pyplot as plt from matplotlib.patches import Circle, Rectangle import networkx as nx import tqdm from tqdm import trange from pyfme.aircrafts import Cessna172 from pyfme.environment.atmosphere import ISA19...
FACT_MAP = { 0: 1, 1: 1 } def factorial(n): if n in FACT_MAP: return FACT_MAP[n] return n * factorial(n - 1) def sumDigits(toSum): value = 0 while toSum > 0: value += toSum % 10 toSum = toSum // 10 return value sumDigits(factorial(100))
# this all of the function and variables from tkinter. from tkinter import * # this to import the theme from tkinter. theme is like a background color or font. from tkinter import ttk # this will create the top parent windows which i can use as a parent windows for others widgets. # the reference for the pare...
# Searching algorithms def linear_search(array, val, len): answer = 'Not found' index = 0 while index < len: if array[index] == val: answer = index index += 1 return answer def better_linear_search(array, val, len): answer = 'Not found' index = 0 while index <...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('snippets', '0002_remove_like_whether_like'), ] operations = [ migrations.RenameModel( old_name='Like', ...
import sys def get_min_tapes(): global N, L, points cnt, now = 0, -1 for point in points: if point > now: now = point + L -1 cnt += 1 return cnt if __name__ == '__main__': N, L = map(int, input().split()) points = sorted(list(map(int, sys.stdin.readline().s...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 3.3.0 (http://hl7.org/fhir/StructureDefinition/EligibilityRequest) on 2018-05-12. # 2018, SMART Health IT. from . import domainresource class EligibilityRequest(domainresource.DomainResource): """ Determine insurance validity and scope of co...
from django.test import TestCase from django.contrib.auth.models import User from django.urls import reverse from .models import * import unittest class AddProductTest(TestCase): """Tests the "sell" form where a user adds a new product for sale Model(s): Product, ProductType, User Template(s): c...
###PRIVATE PREAMBLE### import numpy as np from utils.util_data import integers_to_symbols, add_cartesian_awgn as add_awgn ###PRIVATE PREAMBLE### def trainer(*, agents, bits_per_symbol: int, batch_size: int, train_SNR_db: float, signal_power: float = 1.0, ba...
import numpy as np from skimage import img_as_ubyte __all__ = [ "percentile_normalize", "percentile_normalize99", "normalize", "minmax_normalize", "float2ubyte", ] def percentile_normalize( img: np.ndarray, lower: float = 0.01, upper: float = 99.99 ) -> np.ndarray: """Channelwise percenti...
STANFORD_JAR="/home/dang/Desktop/stanford-corenlp-full-2016-10-31/stanford-corenlp-3.7.0.jar" STANFORD_MODEL="/home/dang/Desktop/stanford-corenlp-full-2016-10-31/stanford-corenlp-3.7.0-models.jar" from nltk.parse.stanford import StanfordParser def sfParser(jar_path=STANFORD_JAR,model_path=STANFORD_MODEL): return ...
import seaborn as sns import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D tips = sns.load_dataset("tips") g = sns.jointplot("total_bill", "tip", data=tips, kind="hex", xlim=(0, 60), ylim=(0, 12)) k = sns.jointplot("total_b...
""" making a code for withdrawal """ savings_account = 100000 current_account = 100000 withdrawal = 0 account_type = int(input(""" enter the account type 1. savings 2. current >>> """.title())) if account_type == 1: prompt = int(input("\nenter amount\n>>> ".title())) if prompt <= savings_accoun...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models def no_op(apps, schema_editor): # Do nothing on reversal pass # The following data was downloaded from the world bank dataset # http://databank.worldbank.org/data/views/reports/metadataview.aspx # Latit...
# Copyright 2021 Alibaba Group Holding Limited. All Rights Reserved. from ..utils.registry import Registry MODELS = Registry("MODELS") BACKBONES = Registry("BACKBONES") NECKS = Registry("NECKS") HEADS = Registry("HEADS") BRICKS = Registry("BRICKS") STEMS = BRICKS LOSSES = Registry("LOSSES")
import json import general def get(memb): with open(general.settings) as f: settings = json.load(f) f.close() lvl1 = settings["perms"]["lvl1"] lvl2 = settings["perms"]["lvl2"] lvl3 = settings["perms"]["lvl3"] lvl = [0] for r in memb.roles: if r.name in lvl3: ...
import FWCore.ParameterSet.Config as cms from CalibTracker.SiStripChannelGain.SiStripGainsPCLHarvester_cfi import SiStripGainsPCLHarvester alcaSiStripGainsAAGHarvester = SiStripGainsPCLHarvester.clone() alcaSiStripGainsAAGHarvester.calibrationMode = cms.untracked.string('AagBunch') alcaSiStripGainsAAGHarvester.DQM...
#!/usr/bin/python3 # Platform module import platform print(platform.platform()) print(platform.platform(1)) print(platform.platform(0,1))
from sympy import * from sympy.parsing.latex import parse_latex import os import subprocess # import random from PyQt5.QtWidgets import QDialog class vh_bbt_b3(QDialog): def __init__(self, parent=None): super().__init__(parent) def bbt_b3(self): # bien = self.lne_bien.text() # lay tho...
#!/usr/bin/env python3 ''' obecnyURL = driver.get_url driver.close() -> zamyka karte driver.quit() -> wychodzi? opis: bot zakupowy -> do sklepow komputronik i x-kom. jesli dany produkt jest dostepny, zostanie zakupiony i zamowiony do salonu. jesli jest niedostepny skryp ma sie przerwac. docelow...
# Copyright 2012 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from __future__ import absolute_import from telemetry.internal.browser import extension_to_load class ExtensionDict(object): """Dictionary of ExtensionPa...
from unittest import TestCase, main from telegraph.utils import content_to_html, html_to_content from fixtures import CONTENT, HTML class TestUtils(TestCase): def test_content_to_html(self): html = content_to_html(CONTENT) self.assertEqual(html, HTML) def test_html_to_content(self): ...
#!/usr/local/bin/python import httplib, sys, string, regsub def massage(stuff): stuff = regsub.gsub('\(GRAND PRAIRIE\|CALGARY\|EDMONTON\|MEDICINE HAT\) *, *CA', '\\1, AB', stuff) stuff = regsub.gsub('\(WHISTLER\|VANCOUVER\) *, *CA', '\\1, BC', stuff) stuff = regsub.gsub('WINNIPEG *, *CA', 'WINNIPEG, M...
import logging from moon_manager.api.base_exception import BaseException logger = logging.getLogger("moon.manager.api." + __name__) class UnknownName(BaseException): def __init__(self, message): # Call the base class constructor with the parameters it needs super(UnknownName, self).__init__(messa...
# Dzien 5 CIEZKIE ZAJECIA # Sowniki # Slownik tworzy sie otwierajac nawias klamrowy. # names, surnames i city to klucze i im przypisane sa wartosci. # # deklaruje slownik: # contacts = {"names": ["Ala", "Ola", "Jan"], "surnames": ["Kowalski", "Malinowska", "Igrekowski"], # "cities": ["Warszawa", "Gdansk",...
a = int(input()) for _ in range(a): num = list(map(str, input().split())) sum = 0 for i in range(len(num)): if i == 0: sum = float(num[i]) elif num[i] == "@": sum = sum * 3 elif num[i] == "%": sum = sum + 5 elif num[i] == "#": ...
a = [] with open('journey.txt') as f: for line in f: line = line.strip('\n') a.append(line) def sliceArray(array, n): a = array[::n] return a def calculateTrees(right, down): array = a trees = 0 u = 0 if (down > 1): array = sliceArray(array, down) for item in a...
import pygame import random import neat import math #Initializing the pygame pygame.init() #create screen screen=pygame.display.set_mode((640,960)) score=0 px = 320 py = 944 status="T" red=(255,0,0) green=(0,255,0) WHITE=(255,255,255) status="T" step_x=0 step_y=-16 pos=[(320,944)] snek_len=...
import cv2 import numpy as np from color_test import BaseDetector class PutdownPosition(object): def __init__(self, level=None, row=None, col=None, bag_d=140, left_edge=90, right_edge=510, top_edge=100, bottom_edge=400): self.level, self.row, self.col = level, row, col self.bag_d = bag_d self._c...
class Solution(object): def arrayPairSum(self, nums): """ :type nums: List[int] :rtype: int """ total = 0 nums.sort() for i in range(len(nums) // 2): total += nums[2 * i] return total nums = [6, 2, 6, 5, 1, 2] # Output: 4 sol = Solution(...
# -*- coding:utf-8 -*- """ @project : CCMS @author:hyongchang @file:test_accounts.py @ide: PyCharm @time: 2020-09-26 18:47 """ import sys import os curPath = os.path.abspath(os.path.dirname(__file__)) rootPath = os.path.split(curPath)[0] sys.path.append(rootPath) import pytest,allure from service.api.Business.Business...
import numpy as np import matplotlib.pyplot as plt from src.learning_perceptrons.basic_classifier import LinearClassifier from src.sigmoid_perceptrons.sigmoid_perceptrons import SigmoidClassifier def accuracies_plot(train: int = 5000): """ Generates a plot showing the accuracy of the classifier's output ove...
def counting_sheep(n): result = [] i = 1 if result is None: result = [] if n == 0: return "INSOMNIA" while len(result) < 10: num_to_check = n * i for c in str(num_to_check): if c not in result: result.append(c) i += 1 retur...
import folium from folium import plugins import pandas as pd import requests import matplotlib.pyplot as plt import seaborn as sns import numpy as np from xml.etree import ElementTree %matplotlib inline df=pd.read_csv('pop_data.csv') m = folium.Map([6.5244,3.3792], zoom_start=1) one=df.loc[df['Year'] == 2010] firs...
from django.urls import path from . import views urlpatterns = [ path('auth/', views.auth, name='auth'), path('token/', views.token, name='token'), path('', views.handle, name='handle'), ]
from __future__ import division import numpy as np import os from scipy import ndimage as ndi from skimage import feature from scipy.misc import imread from scipy.misc import imsave import shutil azcomplexity = [] #calculate complexity of letters a-z and store them in a list for i in range(65,91): #read image file t...
from cattr._compat import is_bare, is_py37, is_py38 if is_py37 or is_py38: from typing import Dict, List def change_type_param(cl, new_params): if is_bare(cl): return cl[new_params] return cl.copy_with(new_params) List_origin = List Dict_origin = Dict else: def chan...
from selenium.webdriver.common.keys import Keys import time class TicketDeletePage: URL = 'http://127.0.0.1:5000/tickets' def __init__(self, browser): self.browser = browser def load(self): self.browser.get(self.URL) def delete_ticket(self, tl): # * operator ex...
import sqlite3 # get access to a db file conn = sqlite3.connect('jobDB.db') # create cursor object to gain access to methods like commit and execute cur = conn.cursor() conn.commit() try: cur.execute('''DROP TABLE JobsTable''') conn.commit() except: pass # create a new table cur.execute(...
import socket import pygame class Dualshock: def __init__(self,id): self.loopFlag = True pygame.joystick.init() self.keyMap = {'joyX':3,'joyY':4,'start':9} self.__id = id #canvas variables self.clock = pygame.time.Clock() self.x = 10 self.y = 10 ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- from flask import Flask, jsonify, request tasks = [ { "id": 1, "title": "learn python", "description": "blablabla", "done": False }, { "id": 2, "title": "learn flask", "description": "foofoofoo", ...
#!/usr/bin/python3 """Module Student to Disk and Reload""" class Student: """Defines class student""" def __init__(self, first_name, last_name, age): self.first_name = first_name self.last_name = last_name self.age = age def to_json(self, attrs=None): """Retrieves a dictio...
#!/usr/bin/python from pychartdir import * # Sample data for the Box-Whisker chart. Represents the minimum, 1st quartile, medium, 3rd quartile # and maximum values of some quantities Q0Data = [40, 45, 40, 30, 20, 50, 25, 44] Q1Data = [55, 60, 50, 40, 38, 60, 51, 60] Q2Data = [62, 70, 60, 50, 48, 70, 62, 70] Q3Data = [...
import winsound from random import randint from time import sleep import wx ganarcambio=0 ganarsincambio=0 perdercambio=0 perdersincambio=0 abierta=0 actual=0 otra=0 premio=0 turno = False class MiFrame(wx.Frame): def __init__(self,*args,**kwargs): global turno wx.Frame.__init__(self,*args,**kwar...
# Copyright 2019 NVIDIA Corporation # # 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 wr...
#-*- coding:utf8-*- #制作图表,添加节点和边 import networkx as nx import matplotlib.pyplot as plt #/Users/kun/Desktop/ G = nx.DiGraph() G.add_node(1) G.add_node(2) G.add_nodes_from([3,4,5,6]) G.add_cycle([1,2,3,4]) G.add_edge(1,3) G.add_edges_from([(3,5),(3,6),(6,7)]) nx.draw(G) #write_pajek(G, path, encoding='UTF-8') #nx.w...
def combination(arr, r): def generate(chosen): global answer if len(chosen) == r: answer += [chosen[:]] return start = arr.index(chosen[-1]) + 1 if chosen else 0 for nxt in range(start, len(arr)): chosen += [arr[nxt]] generate(chosen) ...
def intersect(A, B): n = len(A) m = len(B) iA = 0 iB = 0 common = [] while iA < n and iB < m: if A[iA] < B[iB]: iA += 1 elif B[iB] < A[iA]: iB += 1 elif A[iA] == B[iB]: common.append(A[iA]) iA += 1 iB += 1 ...
''' Given a string s, return the longest palindromic substring in s. ''' class Solution: def longestPalindrome(self, s): possible = set() longest = s[0] for char1 in s: char = char1 possible.add(char) s = s[1:] for char2 in s: ...
import csv import os from worker.abstract_item_generator import BaseItemGenerator __author__ = 'pradeepv' class SnomedConceptGenerator(BaseItemGenerator): def __init__(self): self.input_file = super().file_to_read('conceptfile') self.infile = None @property def generate(self): "...
import torch from tqdm import tqdm def land_auto(loc, A, z_points, grid, dv, model, constant=None, batch_size=1024, metric_grid_sum=None, grid_sampled=None, init_curve=None, grid_init_curves=None, q_prob=None): """ Checks if scale is tensor or scale and calls corresponding LAND fun...
while True: n_50 = n_20 = n_10 = n_1 = 0 while True: try: value = int(input('Quanto deseja sacar?: R$')) break except ValueError: print('Somente números inteiros, Por Favor!!') print('Voce Recebeu:') while value >= 50: n_50 += 1 val...
class Student: __totalCGPA = 0.0 __totalCredits = 0 def __init__(self, id, name, address): self.__studentId = id self.__studentName = name self.__studentAddress = address def getStudentId(self): return self.__studentId def getStudentName(self): retur...
import time import argparse import os import random import numpy as np import torch import torch.nn as nn import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim as optim import torch.utils.data import torchvision.transforms as transforms import torchvision.utils as vutils import torch.autograd...
# Generated by Django 3.1.2 on 2021-01-04 08:04 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
def kratke_slova(list): """ Funkce hleda v seznamu sloa kratsi nez 5 pismen """ vysledek = [] for slovo in list: if len(slovo) < 5: vysledek.append(slovo) return vysledek def slova_k(list): """ funkce hleda v seznamu zvirata zacinajici na "k" """ vysledek = ...
import requests, threading, os from colorama import Fore os.system(f'title [server leaver]') os.system(f'mode 80,20') print(f' {Fore.CYAN}server leaver \n\n') print(f' {Fore.YELLOW}@9n8 {Fore.LIGHTMAGENTA_EX} \n') def leave(guild_id, token)...
""" Tests for utils To run all tests in suite from commandline: python -m unittest tests.utils Specific test class: python -m unittest tests.utils.TestTicker """ # import pandas as pd # import numpy as np from .context import yfinance as yf from .context import session_gbl import unittest # import requests_c...
# Generated by Django 3.2.2 on 2021-05-29 18:43 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('contact', '0003_about_imageabout_social'), ] operations = [ migrations.AddField( model_name='imageabout', name='alt'...
# https://github.com/MatrixManAtYrService/MathScripts/blob/master/listTopologies.py # Consider the discrete topology on X # X_Discrete = { {} {a} {b} {c} {a,b} {a,c} {b,c} {a,b,c} } # Let the set Y contain all nontrivial elements of X_discrete # Y = { {a} {b} {c} {a,b} {a,c} {b,c} } # Notice that for any subset Z of...
#'playlistId': 'PLcFcktZ0wnNn0VMRzVqV82s4vKpaTii_W', # Import the modules import requests import pprint import json from YouTube_API_Key import get_my_api_key # Define API KEY DEVELOPER_KEY = get_my_api_key() # Define Base URL BASE_URL = 'https://www.googleapis.com/youtube/v3' # Define Endpoint ENDPOINT = 'comment...
# 람다라는 함수가 있는데 당장 이해하실 필요는 없습니다. # 함수를 아주 간단하게 표현할때 쓰는데요. 언젠가 필요할 때 쓰시면 됩니다. # 어려우면 안써도 지장없습니다. # 먼저 lambda가 아닌 함수를 만들어볼게요. # 아래와 같이 x를 주면 1을 더해서 돌려주는 함수를 보세요. def addOne(x) : return x + 1 # 1을 x로 함수에 전달하니 f(x) = x + 1에서 1 + 1 = 2가 됩니다. print(addOne(1)) # 그런데 아래처럼 한줄로 간단하게 표현할 수 있어요. addOneLambda = (lambd...
# Generated by Django 3.1 on 2021-03-12 19:59 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('react_chat_app', '0006_post'), ] operations = [ migrations.AddField( model_name='co...
from django.urls import path from ProyectoUniversidadApp import views urlpatterns = [ path('index',views.index, name="Index"), path('credito',views.credito, name="Credito"), path('financiero',views.financiero, name="Financiero"), path('operacional',views.operacional, name="Operacional"), ]
from django.contrib.auth.decorators import login_required from django.contrib.auth.models import User from django.shortcuts import render, redirect, get_object_or_404 from django.http import JsonResponse, HttpResponse from .models import Snippet, Tag, Library, Language from .forms import SnippetForm from users.models ...
from collections import defaultdict import pandas as pd import numpy as np def getMostSignificantLabel(LABELS_FILE_PATH, LABELS_SEPERATOR, LABELS_NAMES): df = pd.read_csv(LABELS_FILE_PATH, header= None, sep=LABELS_SEPERATOR, names = LABELS_NAMES) shapeOfDF = df.shape numberOfColumns = sh...
import xarray as xr import numpy as np test_gebco=False test_bedmachine=True #gebco if test_gebco: gebco1 = xr.open_dataset('../grid_gebco_30sec.nc') gebco2 = xr.open_dataset('../grid_gebco_30sec_original.nc') assert np.allclose(gebco1.lon.data, gebco2.lon.data) assert np.allclose(gebco1.lat.data, ge...
# Generated by Django 2.1.15 on 2020-04-03 20:49 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='NgoTable', fields=[ ('id', models.AutoFiel...
print("(LabWork 2)Богатько Александр В2 ИПЗ-12") print("Ведите первое число: ") A = int(input()) print("Введите второе число: ") B = int(input()) print("Введите третье число: ") C = int(input()) if A>=1 and A<=3: print("Ответ: " + str(A)) if B>=1 and B<=3: print("Ответ: " + str(B)) if C>=1 and C<=3: ...
import numpy n,m = map(int,input().split()) arr = numpy.zeros((n,m),int) for i in range(n): arr[i] = numpy.array(input().split(),int) print(numpy.prod(numpy.sum(arr, axis = 0)))
import numpy as np import cv2 cap = cv2.VideoCapture(0, cv2.CAP_DSHOW) ''' Cartesian plane starts from top left in open cv (0,0) denotes top left corner of screen move down: increase height move right : increase width ''' while True: ret, frame = cap.read() height = int(cap.get(4)) width = int(cap.get(3)) ...
from insuletchallenge import datasets from insuletchallenge import models from sklearn.model_selection import train_test_split from tensorflow.keras.layers import Dense from tensorflow.keras.models import Model from tensorflow.keras.models import load_model from tensorflow.keras.optimizers import Adam from tensorflow.k...
from io import BytesIO import random from flask import Response from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure @app.route('/plot.png') def plot_png(): fig = create_figure() output = BytesIO() FigureCanvas(fig).print_png(output) return Re...
def average(arr): new_list = set(arr) total_numbers = len(new_list) sum_number = sum(new_list) average_number = sum_number / total_numbers return average_number n = int(input()) arr = list(map(int, input().split())) result = average(arr) print(result)
# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2019-09-15 19:22 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('tv_shows_app', '0001_initial'), ] operations = [ migrations.RenameModel( ...
import numpy as np from scipy.optimize import minimize def slabr(n,n1,n2,d,freq_range): r=((n1-n)/(n1+n)+(n-n2)/(n+n2)*np.exp(4*np.pi*1j*n*d/2.9979e8*freq_range))/(1+(n1-n)/(n1+n)*(n-n2)/(n+n2)*np.exp(4*np.pi*1j*n*d/2.9979e8*freq_range)) return r def slabrr(n,r12,r23,d,freq): r=((r12+r23*np.exp(4*np.pi*1...
#Metar Bug #Patrick Pragman #Ciego Services #January 31, 2018 #Flask App to watch for changes in the weather from flask import Flask, render_template, request, jsonify from metar import Metar from get_metar import get_metar from local_config import Path app = Flask(__name__) @app.route('/') def index(): return r...
# utf-8 # exercício 103 def ficha(name='<desconhecido>', score=0): print(f'O jogador {name} fez {score} gol(s) no campeonato.') # programa principal n = str(input('Nome do jogador: ')) g = str(input('Número de Gols: ')) if g.isnumeric(): g = int(g) else: g = 0 if n.strip() == '': ficha(score=g) else...
import turtle as t def tp(x,y): t.pu() t.goto(x,y) t.pd() t.screensize(1920,1080,"black") t.setup(1920,1080,0,0) t.pensize(1) t.speed(10) t.pencolor("white") tp(-300,300) t.color('white','white') t.begin_fill() for i in range(4): t.fd(600) t.rt(90) t.end_fill() tp(-290,290) t.color...
import pandas as pd data_file = r'data.csv' data_df = pd.read_csv(data_file) print data_df.shape # (484192, 15) print data_df.columns '''columns_names = [u'id', u'pickup_user_id', u'total_amount', u'pickup_user_address_id', u'created_at.x', u'ki', u'cost_for_two', u'created_at.y', u'driver_ass...
import json import logging import os import pathlib import sys from collections import OrderedDict from datetime import datetime import click import humanfriendly import pandas __version__ = '1.1.5' logger = logging.getLogger() @click.group() @click.option('--debug', is_flag=True) @click.pass_context def cli(ctx,...
from django import template from django.template import Library register = template.Library() @register.filter def url_replace(request, field, value): dict_ = request.GET.copy() dict_[field] = value return dict_.urlencode()
# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2018-05-25 17:05 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('default', '0002_job'), ] operations = [ migrations.RenameField( model_nam...
from django.shortcuts import render, redirect from django.http import HttpResponse from .forms import UploadFileForm from django.contrib import messages from .models import Leaderboard from .fileProcessor import handle_uploaded_file def viewAll(request): board=Leaderboard.objects.all() return render(request, ...
# Vocabulary RESERVED_TOKENS = {'PAD': 0, 'UNK': 1} RESERVED_ENTS = {'PAD': 0, 'UNK': 1} RESERVED_ENT_TYPES = {'PAD': 0, 'UNK': 1} RESERVED_RELS = {'PAD': 0, 'UNK': 1} extra_vocab_tokens = ['alias', 'true', 'false', 'num', 'bool'] + \ ['np', 'organization', 'date', 'number', 'misc', 'ordinal', 'duration', 'person...
"""GLD module.""" import numpy as np import matplotlib.pyplot as plt from scipy import optimize, special, stats class GLD: r"""Univariate Generalized Lambda Distribution class. GLD is flexible family of continuous probability distributions with wide variety of shapes. GLD has 4 parameters a...
from hw2 import * import matplotlib.pyplot as plt import matplotlib.image as mpimg img = mpimg.imread('kodim04.png') plt.imshow(img) C = split(img, 16) A, B, e_rel = compress(C, 50) print(e_rel) img2 = join(A @ B, 16, img.shape[1], img.shape[0]) print(relError(img, img2)) plt.figure() plt.imshow(img2) plt.show()
from random import * def new_game(n): matrix = [] for i in range(n): matrix.append([0] * n) return matrix def add_two(mat): a=randint(0,len(mat)-1) b=randint(0,len(mat)-1) while(mat[a][b]!=0): a=randint(0,len(mat)-1) b=randint(0,len(mat)-1) mat[a][b]=2 return mat...
sounds = [{ "soundName": "A Bass", "md5": "c04ebf21e5e19342fa1535e4efcdb43b.wav", "sampleCount": 28160, "rate": 22050, "format": "", "tags": [ "music", "instruments", "notes" ] }, { "soundName": "A E...
# worker.py - master-slave parallelism support # # Copyright 2013 Facebook, Inc. # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. from i18n import _ import errno, os, signal, sys, threading, util def countcpus(): '''try to cou...