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import wave import contextlib from pydub import AudioSegment import os import PyWave as pw import warnings warnings.filterwarnings('ignore') DIR = r"C:\Users\Dell\Desktop\speech" class AudioFile: def __init__(self, path_to_file): self.path_to_file = path_to_file def stereo_to_mono(self): wf ...
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import random def ordenamiento_insercion(lista): n = len(lista) for i in range(1, n): valor_actual = i for j in range(i, 0, -1): if valor_actual < lista[j]: lista[j], lista[j + 1] = lista[j + 1], lista[j-1] return lista if __name__ == '__main__': ...
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import time import sys class pubTopic: #-----topics SUB_TOPIC = "NWS/ALL/ALL/COOP/ALL/COMMAND" COMMAND_TOPIC = "NWS/CRH/UNR/COOP/COLW4/COMMAND" TEMP_PUB_TOPIC = "NWS/CRH/UNR/COOP/COLW4/TEMP" PRECIP_PUB_TOPIC = "NWS/CRH/UNR/COOP/COLW4/PRECIP" DAILY_PUB_TOPIC = "NWS/CRH/UNR/COOP/COLW4/DAILY" ...
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""" try: execute code block 1 except expression as identifier: execute if code block 1 get error else: execute if code bloack 1 is success! """ try: fh = open("check.txt", "w") print(fh.write("Hello from Exception!")) except BaseException as exception: print("Error while working with file: ", e...
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# Generated by Django 2.0.6 on 2020-11-10 12:49 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('course', '0001_initial'), ] operations = [ migrations.AddField( model_name='course', name='course_video', ...
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from otree.api import ( models, widgets, BaseConstants, BaseSubsession, BaseGroup, BasePlayer, Currency as c, currency_range ) import itertools author = 'Manu Munoz' doc = """ Identity Switch - Networks: Instructions FLUID """ class Constants(BaseConstants): #------------------------------------------ ...
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from rest_framework import serializers from trackmeapp.models import Task # transforming objects to JSON and vice versa class TaskSerializer(serializers.ModelSerializer): class Meta: model = Task fields = ('item_id', 'title', 'description', 'created_at', 'comp_date', 'status')
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"""thinkingcap URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.11/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Clas...
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# # WearNow - a GTK+/GNOME based program # # Copyright (C) 2008 Brian G. Matherly # Copyright (C) 2009 Benny Malengier # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either versi...
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from lib import csvIO from lib.objectFactory import ObjectFactory class BasicTransform: entities=[] links=[] objectFactory=None inputFiles = None outputFile = None transformConfig = None def __init__(self,inputFiles,outputFile,transformConfig): print('[*] Initializing Transform')...
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#!/usr/bin/env python3 """ Created on 13 Nov 2017 @author: Bruno Beloff (bruno.beloff@southcoastscience.com) """ import json from scs_core.data.json import JSONify from scs_core.psu.psu_version import PSUVersion # ---------------------------------------------------------------------------------------------------...
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from sense_hat import SenseHat import insertdatabase import globals import Gyroscope import Arrows import sys import tweepy from ISStreamer.Streamer import Streamer sense=SenseHat() sense.set_imu_config(False,False,True) logger= Streamer(bucket_name="Sense Hat Sensor Data", access_key="ist_QsJ_mdh5bnHzduJDFhorX59W811C6...
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hh3,pp=input().strip().split() pp=int(pp) h=0 while h<len(hh3)-1 and pp: if(hh3[h]>hh3[h+1]): pp-=1 hh3=hh3[:h]+hh3[h+1:] if(h!=0): h-=1 else: h+=1 lk=hh3[:len(hh3)-pp] print(lk)
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def repeat(s, rep): return s * rep s = input() rep = int(input()) print(repeat(s, rep))
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""" Gumbel probability distribution (for maxima) -------------------------------------------- This is the same distribution as: * `scipy.stats.gumbel_r`; * NumPy's `numpy.random.Generator.gumbel`; * the Gumbel distribution discussed in the wikipedia article "Gumbel distribtion" (https://en.wikipedia.org/wiki/Gumbel...
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import pygame class Projectile(pygame.sprite.Sprite): def __init__(self, player): super().__init__() self.velocity = 5 self.image = pygame.image.load("assets/projectile.png") self.image = pygame.transform.scale(self.image, (50,50)) self.rect = self.image.get_rect() ...
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from functools import reduce class Group(): def __init__(self, raw): self.persons = [set(x) for x in raw.split("\n")] def get_answers_count(self, aggregation): return len(reduce(aggregation, self.persons)) with open('input', 'r') as f: groups = [Group(x) for x in f.read().split("\n\n")] ...
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from PIL import Image import dhash import pybktree import os def filecleanup(scrpth): imagedict = {} tree = pybktree.BKTree(pybktree.hamming_distance) for ff in os.listdir(scrpth): #print(os.path.join(scrpth,ff)) filename = os.path.join(scrpth,ff) if filename[-3:] == "jpg": ...
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from django.db import models # Create your models here. class users(models.Model): first_name=models.CharField(max_length=30) last_name=models.CharField(max_length=30) email_id=models.CharField(max_length=30) password=models.CharField(max_length=30) user_name=models.CharField(max_length=30)
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#!/usr/bin/env python3 # NeoPixel library strandtest example # Author: Tony DiCola (tony@tonydicola.com) # # Direct port of the Arduino NeoPixel library strandtest example. Showcases # various animations on a strip of NeoPixels. import time,socket,sys from neopixel import * import argparse # LED strip configuration:...
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#!/usr/bin/python # Modul import importieren import random,time # initialisieren random.seed() # Anzahl richtiger Ergebnisse richtig = 0 startzeit = time.time() # Schleife mit "anzahl" Aufgaben print "Start des Rechenspiels:",\ time.strftime("%d.%m.%Y %H:%M:%S") print for aufgabe in range(5): # Aufgabe mit ...
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import numpy as np import tensorflow as tf from .. import kernels from .. import mean_functions as mfn from ..covariances import Kuf from ..inducing_variables import InducingVariables from ..probability_distributions import DiagonalGaussian, Gaussian, MarkovGaussian from ..quadrature import mvnquad from . import dispa...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import math def solve(a, b): a, b = min(a, b), max(a, b) if a == b: return 2 * a - 2 c = int(math.sqrt(a * b)) + 2 while True: if c * c < a * b: if c * (c + 1) >= a * b: return 2 * c - 2 ...
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import unittest import weakref from horton import grid class TestGridSliceProxy(unittest.TestCase): def setUp(self): self.g = grid.Grid(5, 5) self.proxy = grid.GridSliceProxy(self.g, slice(1, 1), slice(3, 3)) def test_getitem(self): self.g[3, 3] = 1 self.assertEqual(self.pro...
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""" Usage: python main.py --img imgPath //for image python main.py --video videoPath //for video """ import tensorflow as tf # Darkflow from darkflow.net.build import TFNet import os import numpy as np import matplotlib.pyplot as plt import pandas as pd import cv2 import sys from datetime imp...
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from jsonrpc import ServiceProxy import sys import string import getpass # ===== BEGIN USER SETTINGS ===== # if you do not set these you will be prompted for a password for every command rpcuser = "" rpcpass = "" # ====== END USER SETTINGS ====== if rpcpass == "": access = ServiceProxy("http://127.0.0.1:7077") e...
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import datetime import persian as persian from constant.message import ReadyText from main_config import BotConfig from khayyam3 import * # def make_tweet_message(user_name, text, profile_image_url, favorite_count, retweet_count): # message = TextMessage( # ReadyText.tweet_message.format(text, user_name,...
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#!/usr/bin/env python # coding: utf-8 # In[1]: import pandas as pd # In[2]: df = pd.read_csv("trace.csv") # In[3]: df.columns # In[4]: df.shape # In[35]: len(df['concept:name'].unique()) # In[27]: first_last_event = [] for i in df['case:concept:name'].unique(): sub = df[df['case:concept:name'...
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#!/usr/bin/python # -*- coding: utf-8 -*- """ Author : Nasir Khan (r0ot h3x49) Github : https://github.com/r0oth3x49 License : MIT Copyright (c) 2020 Nasir Khan (r0ot h3x49) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Soft...
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# -*- coding: cp1252 -*- from funciones_3 import convert_seg_hms, convert_hms_seg def calc_marca (h_lar,m_lar,s_lar,h_lleg,m_lleg,s_lleg): '''toma por parametro los valores ingresados en la funcion principal, invoca a la funcion del modulo Echegaray y realiza la resta entre los dos horarios para luego devol...
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# Day 4 Exercise: Treasure Map row1 = ["⬜️", "⬜️", "⬜️"] row2 = ["⬜️", "⬜️", "⬜️"] row3 = ["⬜️", "⬜️", "⬜️"] map = [row1, row2, row3] print(f"{row1}\n{row2}\n{row3}") position = input("Where do you want to put the treasure ?") col = int(position[0])-1 row = int(position[1])-1 map[row][col] = "💎" print(f"{row1}\n{...
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# A Drawing Mockup for vv.Debuggy. # # * Reads in verilog files and displays schematics and hierarchy -DONE # * A splitter window, left = hier tree, right = autogen schematics -DONE # * Status bar shows current hierarchy path -DONE # * Window title shows name of module on view -DONE # * Schematic to be displayed i...
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""" Django settings for narendra project. Generated by 'django-admin startproject' using Django 3.1.4. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathli...
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x = int(input("?x = ")) # user input y = int(input("?y = ")) # user input quotient = 0 # quotient remainder = x # remainder while remainder >= y: quotient += 1 remainder -= y print("x div y =", quotient) print("x mod y =", remainder)
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# -*- coding: utf-8 -*- from __future__ import unicode_literals import os extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.coverage', 'sphinx.ext.doctest', 'sphinx.ext.extlinks', 'sphinx.ext.ifconfig', 'sphinx.ext.napoleon', 'sphinx.ext.todo', 'sphinx.ext...
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import copy import pandas as pd df_testrain=pd.read_csv('getmodel1.csv',encoding="gbk") df_train = pd.read_excel('泰一指尚训练集.xlsx') #要评的文件 df_testrain = pd.read_excel('***.xlsx') # a) 情感匹配正确数量:tp # b) 情感匹配错误数量:fp # c) 情感匹配漏判数量:fn1 # d) 情感匹配多判数量:fn2 tp,fp,fn1,fn2=0,0,0,0 for i in range(0,df_train.shape[0]): theme=d...
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import socket ''' try: socket.inet_aton('127.0.0.1') except socket.error: print('niepoprawny ip') host = socket.gethostbyaddr('127.0.0.1') print(host) ''' ''' TCP_IP = 'google.com' TCP_PORT = 8080 try: s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) res = s.connect_ex((TCP_IP, TCP_PORT)) if ...
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from django.contrib import admin # Register your models here. from UserRegistration.models import User, Coupon class UserAdmin(admin.ModelAdmin): list_display = ('email', 'full_name') list_display_links = ('email', 'full_name') # list_filter = ('user__email','full_name','city') # list_editable = ('i...
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import random, string from django.utils.text import slugify def random_string_generator(size=10, chars=string.ascii_lowercase + string.digits): return ''.join(random.choice(chars) for _ in range(size)) #code comp # s = "" # for i in range(size): # s = s+random.choice(chars) # return s def ...
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import pickle d = dict(name='xiao zhi', num=1002) print(pickle.dumps(d))
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""" Functions that operate on sparse matrices """ __all__ = ['count_blocks','estimate_blocksize'] from .csr import isspmatrix_csr, csr_matrix from .csc import isspmatrix_csc from ._sparsetools import csr_count_blocks def extract_diagonal(A): raise NotImplementedError('use .diagonal() instead') #def extract_d...
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#!/home/pi/Documents/microblog/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from dotenv.cli import cli if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(cli())
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from django.shortcuts import render from django.http import FileResponse from server import models import json import uuid from django.core import serializers from django.core.serializers.json import DjangoJSONEncoder # Create your views here. def read0(request): file = open('./testdcm/ImageFileName0080.dcm', 'rb')...
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# -*- coding: utf-8 -*- # Funcao que cria um grafo def cria_grafo(lista_de_vs, lista_de_arestas): grafo = {} for v in lista_de_vs: grafo[v] = [] for aresta in lista_de_arestas: grafo[aresta[0]].append(aresta[1]) return grafo # Busca em profundidade personalizada def dfs_iterative(grafo...
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import unittest from datesFromLogs_d2 import datetime, timedelta from datesFromLogs_d2 import loglines, convert_to_datetime, time_between_shutdowns class TestDatesFromLogs(unittest.TestCase): def test_convert_to_datetime(self): line1 = 'ERROR 2014-07-03T23:24:31 supybot Invalid user dictionary file' ...
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import cv2 as cv img = cv.imread('path') img = cv.resize(img, (800,800)) cv.normalize(img, img, 0, 255, cv.NORM_MINMAX) cv.imwrite("filename",img) cv.waitKey(0) cv.destroyAllWindows()
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from .register import Registry from .utils import TensorDataClass, TensorTuple, distributed_print, enable_accimage, get_args, get_environ, \ get_git_hash, get_global_rank, get_local_rank, get_num_nodes, get_world_size, if_is_master, init_distributed, \ is_accimage_available, is_distributed, is_distributed_avail...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # */AIPND-revision/intropyproject-classify-pet-images/adjust_results4_isadog.py # # PROGRAMMER: Cassidy M # DATE CREATED: 19 July 2020 # REVISED DATE: # PURPOSE: C...
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import os import tempfile import pytest from feedback import create_app from feedback.db import get_db from feedback.db import init_db # read in SQL for populating test data with open(os.path.join(os.path.dirname(__file__), "data.sql"), "rb") as f: _data_sql = f.read().decode("utf8") @pytest.fixture def app():...
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import pandas as pd from collections import Counter import matplotlib.pyplot as plt import seaborn as sns from get_ec import get_ec_1_level def get_counts(column): counts = Counter(x for xs in column for x in set(xs)) counts.most_common() # df = pd.DataFrame.from_dict(counts, orient='index').reset_index()...
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# coding: utf-8 """ Yapily API To access endpoints that require authentication, use your application key and secret created in the Dashboard (https://dashboard.yapily.com) # noqa: E501 OpenAPI spec version: 0.0.155 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __fu...
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import datetime ''' 1: Use "main" 2: "While" loop using function 3: change type direct in "input" 4: Muss have "return" to take back the value 5: Just need to have "height_meter" because feet has already calculated with "METER_TO_FEET" 6: Muss: certain order 7: Defind also in "main" 8: Python is atomatically know the...
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# -*- coding: utf-8 -*- """Tools for easing Salomé tests on the GUI side """ import os import os.path as osp import subprocess as SP import unittest as UT from cStringIO import StringIO from tempfile import mkstemp from time import sleep from PyQt4 import QtGui as qt from PyQt4 import QtCore as qtc connect = qtc.QObje...
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from app import db class Article(db.Model): __tablename__ = 'article' id = db.Column(db.Integer,primary_key=True) title = db.Column(db.Text) user_id = db.Column(db.Text,db.ForeignKey('user.id')) subject_id = db.Column(db.Integer,db.ForeignKey('subject.id')) abstract = db.Column(db.Text) hi...
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from __future__ import print_function, division import numpy as np import tensorflow as tf import matplotlib.pyplot as plt num_epoch = 100 total_series_length = 50000 truncated_backprop_length = 15 state_size = 4 num_classes = 2 echo_step = 3 batch_size = 5 num_batches = total_series_length//batch_size//truncated_back...
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# Copyright 2017 Google 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 a...
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from sklearn.feature_extraction.text import CountVectorizer vectorizer = CountVectorizer(min_df=1) #print(vectorizer) corpus = ['This is the first document.', 'This is the second second document.', 'And the third one.', 'Is this the first document?',] X = vectorizer.fit_transform(corpus) #print(X) print(vect...
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import argparse DESCRIPTION = r""" files: file_one: {"key1": 1, "key2" : 2} file_two: {"key1": 10, "key3" : 3} run command: gendiff file_one file_two result: { - key1: 1, + key1: 10, key2: 2, + key3: 3 } """ # noqa: W291, W293 def get_parser(): parser = arg...
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from django.contrib.auth import get_user_model from rest_framework import serializers from .models import Booking, BookingRoom, BookingPerson, RoomPhoto, BookingHouse, BookingRoomAdditional, Employee class RoomPhotoSerializer(serializers.ModelSerializer): class Meta: fields = '__all__' model = Roo...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2017-12-01 18:16 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Admini...
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import os from utils import Trainer, StepLR import numpy as np import torch import torchvision import torch.nn as nn import torchvision.models as models from torch import nn import torch.nn.functional as F import torch.optim as optim from torch.utils.data import Dataset, DataLoader from torchvision import transforms im...
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from django import forms from .models import BuyItem, Buy from datetime import date class CreateBuyForm(forms.ModelForm): date = forms.DateField(initial=date.today(), widget=forms.TextInput(attrs={'tabindex':'-1','readonly':'readonly'})) class Meta: model = Buy fields = ['date'] class BuyItemAddForm(forms.Mod...
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import influunt with influunt.Graph() as graph: m = influunt.parse_json('{"foo": {"bar": "biz"}, "biz": ["foo", "bar"]}') biz = m.foo.bar fooboo = m[biz].map(lambda item, i : item + biz) r = graph.executor().run({}, [biz, fooboo]) print(r) assert r == ("biz", ['foobiz', 'barbiz'])
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#!/usr/bin/env python3 '''Read a file whose lines are formatted as "PV: value" and write those values into those PVs. Run as: ./write_pvs input Author: Érico Nogueira ''' import sys from bpm_app.pvs import create_pv, wait_for_pv_connection, put_pv, wait_pv file_name = sys.argv[1] pv_and_value = [] with open(...
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import pygame Blue = (15,31,52) class Paddle(pygame.sprite.Sprite): def __init__(self, color, width, height): super().__init__() self.image = pygame.Surface([width, height]) self.image.fill(Blue) self.image.set_colorkey(Blue) pygame.draw.rect(self.image, color, [0,0, width...
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import os import tensorflow as tf from opts import Opts from trainer import PGGAN import dataset import tests def main(config): if config.task == 'prepare': dataset.prepare_tf_record_dataset( dataset_dir=config.dataset_dir, tf_record_save_dir=config.tf_record_save_dir, ...
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lis=[] num=int(input("How many animals do you want to enter? ")) for add in range(num): add=input("Enter animal: ") lis.append(add) animals=['horse','cat','mouse'] s=lis+animals print("Our list consists of: ", s) s.sort() print("Alphabetically ordered: ", s) s.reverse() print("Reverse ordered: ",s)
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""" WSGI config for werewolf_project project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJA...
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from flaskblog import app #runs the application in debug mode for developer updates if __name__ == '__main__': app.run(debug=True)
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__version__ = '0.9.11'
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import random import time import termcolor import colorama colorama.init() Run_Time = time.time() def show(): for i in range(3): for j in range(3): if game[i][j] == 'X': print(termcolor.colored('X', color='blue'), end=" ") elif game[i][j] == 'O': ...
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""" WSGI config for parkingmotel project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.8/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_...
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from django.http.response import HttpResponseRedirect from django.shortcuts import render,redirect from .models import ToDoList,Item from django.contrib.auth import login,authenticate from django.contrib.auth.forms import UserCreationForm # Create your views here. from django.http import HttpResponse from .forms import...
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from django.conf.urls import include, url from django.contrib import admin from django.conf import settings from django.conf.urls.static import static from django.contrib.auth import views as auth_views from django.core.urlresolvers import reverse_lazy from inicio import views # from hisoka import urls as hisoka_urls ...
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class Person: def __init__(self, name, age, pay=0, job=None): self.name = name self.age = age self.pay = pay self.job = job if __name__ == '__main__': bob = Person('Bob Smith', 42, 30000, 'software') sue = Person('Sue Jones', 45, 40000, 'hardware') print(bob...
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commands = [] from Detection.DepthDetection import * from Detection.MarkerDetection import * from Detection.QRCodeDetection import * from Detection.BarcodeDetection import * from Detection.ColorDetection import * from Detection.ObjectDetection import * from Detection.ContourDetection import * from Detection.EllipseDet...
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from http import HTTPStatus from typing import Optional, List, Tuple from fastapi import HTTPException from pycoin.coins.tx_utils import create_signed_tx from sentry_sdk import capture_message from config import BTC_FEE, settings from core.integrations.bitcoin import BitcoinPriceWrapper from core.integrations.blockcy...
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print("This is my first program!")
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import tensorflow as tf import sys, os, shutil class Config(object): def __init__(self, args): self.codebase_root_path = args.path sys.path.insert(0, self.codebase_root_path) #### Directory paths #### # Folder name and project name is the same self.project_name = args.pro...
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# coding: utf-8 import pprint import re import six from huaweicloudsdkcore.sdk_response import SdkResponse class ShowPriceResponse(SdkResponse): """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): ...
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import pytesseract from pytesseract import Output import cv2 import random import string def randomString(stringLength=8): letters = string.ascii_lowercase return ''.join(random.choice(letters) for i in range(stringLength)) def ocrTextDetect(img): img = cv2.imread(img, 0) custom_config = r'--oem 3 --ps...
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"""tacocat URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based...
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# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve. # # 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 applica...
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from bots.botsconfig import * from records005040 import recorddefs syntax = { 'version': '00504', 'functionalgroup': 'DA', } structure = [ {ID: 'ST', MIN: 1, MAX: 1, LEVEL: [ {ID: 'BAU', MIN: 1, MAX: 1}, {ID: 'N1', MIN: 0, MAX: 1}, {ID: 'N2', MIN: 0, MAX: 99999}, {ID: 'N3', MIN: 0, MAX: 99...
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from .base import * # noqa from .base import env # GENERAL # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#debug DEBUG = True # https://docs.djangoproject.com/en/dev/ref/settings/#secret-key SECRET_KEY = env( "DJANGO_SECRET_KEY...
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''' CHAMPS Dataset preprocessing Class Alternative Implementation. (atom_index_1, type) tuple version. ''' import numpy as np import pandas as pd import os import random import common as cm class CHAMPSData: def __init__(self, dataset_folder, trainfn, structuresfn, testfn=None, set_features=False, N=None, p=N...
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#!/usr/bin/env python """ Author: Pawel Rydzkowski Purpose: A test case file for the get_greetings.py. Used to illustrate Test Driven Development (TDD) and DevOps CI/CD. """ import pytest import get_greetings #from get_greetings import get_hello #from get_greetings import get_good_morning #from get_greetings import g...
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#!/usr/bin/env python ''' V2015-05-03 ''' import os import csv from itertools import ifilter import sys """ COMMON FUNCTIONS """ def output_header_file_old(infile,skip,output_handle,sup_list=[],eliminate=0): ##Version1.0 ##write header into files reader=csv.reader(open(infile,"rU"),delimite...
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class s_class: def __init__(self, number, ages, heights, weights): self.number = number self.ages = ages self.heights = heights self.weights = weights def get_average_age(self): return sum(self.ages)/ len(self.ages) def get_average_height(self): return sum(s...
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fr = open('20bytes.txt','rb') print('当前读写位置是:',fr.tell())#0 b = fr.reed(2) print(b)#b'AB' print('当前读写位置是:',fe.tell())#2 #读写abcde这五个字节 fr.seek(5,0)# # fr.seek(3,1) # fr.seek(-15,2) b = fr.read(5)#b'abcde' print(b)
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import datetime import numpy as np import torch import torch.nn as nn import transformers #from sentence_transformers import SentenceTransformer from tqdm import tqdm def argmax(vec): # return the argmax as a python int _, idx = torch.max(vec, 1) return idx.item() def pad_collate(batch): target = [i...
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from django.conf.urls import include, url from . import views urlpatterns = [ url(r'^blog/$', views.blogView, name='blogView'), url(r'^blog/1$', views.blog1View, name='a_bright_future'), url(r'^blog/2$', views.blog2View, name='gene_drive'), ]
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__all__ =['tpm_identification','auxiliar_functions']
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""" Example: calculate_pi.py """ def recip_square(i_): return 1.0 / (i_ ** 2) # need to supply a n_ in the `speed_it modules__func_tuples` # noinspection PyUnusedLocal def approx_pi(n_=100000): val = 0. for k_ in range(1, n_ + 1): val += recip_square(k_) to_be_returned = (6 * val) ** 0.5
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""" Django settings for friendster project. Generated by 'django-admin startproject' using Django 1.11.1. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ import...
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""" Caesar algorithm tests """ import pytest from algo import caesar @pytest.mark.standard_set def test_caesar_success(): assert caesar.processor("ЛОЛ", "russian", 1) == "МПМ"
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import pandas as pd import pydantic import random import statistics import numpy as np class Player(pydantic.BaseModel): elo: int points: int = 0 games_played: int = 0 def make_player_pool(skill_dist: str="all_luck", skill_dist_params: dict = None, num_players: int=63) -> list[Player]: if skill_dist ...
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