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#!/home/hungcao/flask/bin/python2 # -*- coding: utf-8 -*- import re import sys from flask.cli import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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from functional_tests import FunctionalTest, ROOT, USERS from ddt import ddt, data, unpack from selenium.webdriver.support.ui import WebDriverWait import time from selenium.webdriver.support.ui import Select # Testuser1 - stays as unspecified # Testuser2 - specifies Africa and unspecified country and subdivision # Te...
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from UsuarioFinal import UsuarioFinal from db import get_db from db import close_db class Administrador(UsuarioFinal): def __init__(self,codigo,name, apellido, contraseña, celular,email,rol): super().__init__(codigo,name, apellido, contraseña, celular,email,rol) def buscarUsuario(self,label,value):...
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def break_words(stuff): """This function will break up words for us.""" words = stuff.split(' ') return words def sort_words(words): """Sorts the words.""" return sorted(words) def print_first_word(words): """Prints the first word after popping it off.""" word = words.pop(0) print word...
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from google.cloud import vision from google.cloud.vision import types import io import os from PIL import Image import argparse def image_function(image,size,file_path): im = Image.open(image) resize = im.resize(size) rotate = resize.rotate(-90) rotate.save(str(file_path)) def file_enums(dir_name): ...
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#coding=utf-8 from collections import Iterable import time class ClassMate(object): def __init__(self): self.names = list() self.current_num = 0 def add(self,name): self.names.append(name) def __iter__(self): return self def __next__(self): if self.current_num < len(self.names): ret = self.names[...
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# -*- coding: utf-8 -*- """ Module batch_learners """ import numpy as np from sklearn.ensemble import ExtraTreesRegressor from sklearn.linear_model import LinearRegression class fittedQ: """ The fittedQ algorithm Parameters ---------- regressor : a regressor from scikit-l...
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"""\ ------------------------------------------------------------ USE: Using common sense to update SVM model ------------------------------------------------------------\ """ import time from utils.dataset import Dataset from utils.utils import stemming, vocabulary from utils.evaluation import Evaluation from utils.bi...
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class Solution(object): #Atten def isValid(self, s): left, right, stack = "({[", ")}]", [] for item in s: if item in left: stack.append(item) else: if not stack or left.find(stack.pop()) != right.find(item): return False ...
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# ********* Python Program to Calculate Electricity Bill *********** # units = int(input(" Please enter Number of Units you Consumed : ")) if(units < 50): amount = units * 2.60 surcharge = 25 elif(units <= 100): amount = 130 + ((units - 50) * 3.25) surcharge = 35 e...
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from rest_framework import generics, viewsets from rest_framework import permissions from rest_framework import renderers from rest_framework.decorators import api_view, action from rest_framework.response import Response from rest_framework.reverse import reverse from snippets.models import Snippet from snippets.permi...
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from django.db import models from django.template.defaultfilters import slugify from django.contrib.auth.models import User # Create your models here. class Category(models.Model): name = models.CharField(max_length=128, unique=True) likes = models.IntegerField(default=0) views = models.IntegerField(default=0) slu...
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import smbl import snakemake import os from ._program import * SAMTOOLS = get_bin_file_path("samtools") ########################################## ########################################## class SamTools(Program): @classmethod def get_installation_files(cls): return [ SAMTOOLS, ] ...
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# Auto generated configuration file # using: # Revision: 1.19 # Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v # with command line options: step2 --filein file:DIGI1.root --fileout file:DIGI2.root --python_filename DIGI2_cfg.py --mc --eventcontent AODSIM --runUnscheduled --datatier...
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import pandas as pd #This line loads the csv into a pandas data frame, you'll have to change it to the location of your NSC file data = pd.read_csv("C:/Users/rjlopez/Desktop/EVC Tracker.csv") #formatting the dates columns to proper date format, some interpreters will change these columns to a number if we don't form...
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from ._AcquireObjectImage import * from ._BaTestEnvironment import * from ._BagTrainObject import * from ._ComputeGraspsVacuumGripper import * from ._DetectObjects import * from ._SaveRecordedObject import * from ._StartObjectRecording import * from ._StopObjectRecording import * from ._TrainObject import *
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# -*- coding: utf-8 -*- import numpy as np import matplotlib # matplotlib.use('nbagg') # import matplotlib.pyplot as plt # import matplotlib.cm as cm # import mpld3 # matplotlib.use('nbagg') def plot_route(coord_pairs,annotes): # matplotlib.use('nbagg') import matplotlib.pyplot as plt import matplotlib.c...
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list_name = list() print(list_name) string_list = ["one", "two", "three"] print(string_list) num_list = [1, 2, 3] print(num_list) mixed_list = [1, 2, 3, "one", "two", "three", [4, 5, 6], {"key":"value"}] print(mixed_list) vegetables = ["Potatoes", "Carrots", "Cauliflower", "Broccoli", "Bell Pepper"] print(vegetabl...
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# Stubs for warnings import sys from typing import Any, Dict, List, NamedTuple, Optional, overload, TextIO, Tuple, Type, Union, ContextManager from types import ModuleType if sys.version_info >= (3, 8): from typing import Literal else: from typing_extensions import Literal @overload def warn(message: str, ca...
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#!/usr/bin/env python """Filemover cli equivalent""" # system modules import os import re import sys import json import stat import time import thread import urllib import urllib2 import datetime from multiprocessing import Process # for DBS2 XML parsing import xml.etree.ElementTree as ET # cmssh modules from cmssh...
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# -*- coding: utf-8 -*- # # FoxDot documentation build configuration file, created by # sphinx-quickstart on Sun Feb 21 22:04:59 2016. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # Al...
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import itertools X = int(input()) ps = [100, 101, 102, 103, 104, 105] dp=[0]*(X+1) dp[0] = 1 for p in ps: for i in range(len(dp)): if i >= p: dp[i] = max(dp[i], dp[i-p]) print(dp[X])
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import base64 import io import json import zlib from pip._vendor import msgpack from pip._vendor.requests.structures import CaseInsensitiveDict from .compat import HTTPResponse, pickle, text_type def _b64_decode_bytes(b): return base64.b64decode(b.encode("ascii")) def _b64_decode_str(s): return _b64_decod...
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import time import pyautogui import tkinter as tk def screenshot(): name = int(round(time.time() * 1000)) name = 'C:/Users/gsc-30431/PycharmProjects/test1.py/Screenshot_App/{}.png'.format(name) # Update the Directory path above where the screenshots will be saved. img = pyautogui.screenshot...
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#! /usr/bin/env python #coding=utf-8 import time import re import os import math import cPickle ############################ ## load tweetID-usrID def loadUsrId(filepath): usrFile = file(filepath,"r") tweIdToUsrIdHash = cPickle.load(usrFile) usrFile.close() return tweIdToUsrIdHash ####...
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from DataProvider import * from HdfOperator import * import types import numpy as N from Parameters import * from natsort import natsorted, ns class ModisProvider(DataProvider): def __init__(self): super(ModisProvider, self).__init__() self.__AuxiliaryDataNamesList = dict() self.__HdfFile...
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from django.urls import path from django.contrib.auth import views as auth_views from . import views app_name = 'common' urlpatterns = [ # 127.0.0.1:8000/common/login path('login/', auth_views.LoginView.as_view( template_name='common/login.html'), name='login'), path('logout/', auth_views.LogoutView.a...
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from argparse import ArgumentParser import zmq import json parser = ArgumentParser() parser.add_argument('outputfile') parser.add_argument('-p', '--port', type=int, default=5000) context = zmq.Context() socket = context.socket(zmq.REP) def main(): args = parser.parse_args() socket.bind('tcp://0.0.0.0:{}'.fo...
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# Generated from jackGrammar.g4 by ANTLR 4.7.1 from antlr4 import * if __name__ is not None and "." in __name__: from .jackGrammarParser import jackGrammarParser else: from jackGrammarParser import jackGrammarParser # This class defines a complete generic visitor for a parse tree produced by jackGrammar...
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#!/usr/bin/env python # # Copyright 2009 Facebook # # 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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import scrapy from scrapy.http import HtmlResponse from leruaMerlen.items import LeruamerlenItem from scrapy.loader import ItemLoader class LmruSpider(scrapy.Spider): name = 'lmru' allowed_domains = ['leroymerlin.ru'] def __init__(self, search): super().__init__() self.start_urls = [f'http...
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# Dictionary # - An objet that stores a collection of data. # - Each element has two parts: # - Key # - Value # - The key is used to locate a specific value # ------------------ # English Dictionary # ------------------ # - The word = Key # - Definition = Value # # - emp_ID = Key # - emp_name = Value #...
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# This variant of the program will show every single possible way to complete a Square-Sum Hamiltonian Path # with the chosen number. # Note that half of these are just the reverse of the other half. import threading import time from timeit import default_timer as timer print("Choose length:") count = int(input()) s...
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""" class03p10.py This script should use Pandas to plot prices of GSPC for 2016. """ import pandas as pd import matplotlib.pyplot as plt csvfile = 'http://spy611.herokuapp.com/csv/allpredictions.csv' # Goog: In pandas how to sort a dataframe? cp_df = pd.read_csv(csvfile).sort_values(['cdate']) # Goog: In pandas how ...
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# # Experimental code # # # Idea: make 2 type # One for field (with field name / bitfield / parentclass / etc) # One for the type above (fieldname.type) # That have info about array size and co import struct from windows.generated_def.winstructs import * class DbgEngTypeBase(object): def __init__(self, module, t...
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import argparse import matplotlib.pyplot as plt from data.dstl_dataset.dataset import DstlDataset import options.options as option parser = argparse.ArgumentParser() parser.add_argument('-opt', type=str, required=True, help='Path to option JSON file.') opt = option.parse(parser.parse_args().opt, is_train=True) opt =...
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#!/usr/bin/env python import ast import os, sys sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) from login import login import json import jtextfsm as textfsm from argparse import ArgumentParser def run_command(dnac, devs, cmds): if cmds is [None]: cmds =["...
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import abc import torch as th import torch.nn as nn from typing import Dict, Optional, Tuple from tpp.utils.events import Events class Process(nn.Module): def __init__(self, name: str, marks: Optional[int] = 1, **kwargs): """A parametric process. Args: name: The name of the process. ...
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# jumble_solve2.py import sys def prefix_tree(filename): dictionary_tree = dict() fin = open(filename) for line in fin: word = line.strip() if word[0] in dictionary_tree.keys(): updated_list = dictionary_tree[word[0]] + [word] dictionary_tree[word[0]] = updated_list else: dictionary_tree[word[0]] = ...
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from collections import Counter k = int(input()) s = input() d = Counter(s) res = '' for t in d: val = d[t] if val % k == 0: res += t * (val // k) else: res = '-1' break if res != '-1': res *= k print(res)
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#! /usr/bin/python3 -uW all # -*- coding: utf-8 -*- usage=""" scrape-statcode-us-co - convert the Colorado Revised Statutes into Akoma Ntoso See <https://en.wikipedia.org/wiki/Colorado_Revised_Statutes>. Given titles as RTF files, in order, this will output them as an Akoma Ntoso XML file. Usage: scrape-statcode-us-...
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import json from ast import literal_eval from model.event import EventModel, Activity, Relation, Place def json2model(event_obj): print event_obj event_obj = json.loads(event_obj.replace('\r\n', '\\r\\n')) id = int(event_obj["ID"]) event = EventModel.query(EventModel.eid == id).get() if not event:...
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from math import* x = eval(input("radiano: ")) k = int(input("Quantidade de termos da serie: ")) n = 0 soma = while(n < k): n = n + 1 sinal = (x**(2 + 2*n)/factorial(2*n)) sinal = - sinal soma = sinal + sinal print(round(serie, 10))
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#!/home/ian/pythonprojs/selfsite/MySite/bin/python2 from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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/exampleCode/heatConduction3DUnsteady.py
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ A course example of unsteady 3D heat conduction. Constant propersties, contant temperature boundary, zero gradient (insulated) boundary, transient. NOTE: USE OF SPARSE MATRIXES IN MatrixA Created on Sat Jan 13 13:10:11 2018 @author: Antti Mikkonen, a.mikkonen@iki....
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# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2019-09-16 11:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Course', ...
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gabrielgpavan2/Algoritmo-de-Grafos
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# -*- coding: utf-8 -*- # ​Autoria: # Fabiano S. Oliveira # Paulo E. D. Pinto # # ​A correção e a análise de complexidade deste programa # encontram-se no livro # # Teoria Computacional de Grafos, Elsevier, 2018 # ​ ​Jayme L. Szwarcfiter #Algoritmo 8.3: Emparelhamento Bipartido (Ponderado) ...
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# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2016-06-24 16:10 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('blog', '0001_initial'), ] ...
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# Generated by Django 2.1.4 on 2019-07-09 14:13 from django.db import migrations, models import uuid class Migration(migrations.Migration): dependencies = [ ('login', '0002_auto_20190704_0826'), ] operations = [ migrations.AlterField( model_name='user', name='FID...
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import sqlite3 import images from PySimpleGUI import PySimpleGUI as sg class RentACar: def __init__(self): #layout sg.theme('Reddit') def wind_initial(self): self.layout=[ [sg.Button(image_data=images.imge)], [sg.Button('Cars Catalogue',size=(20,...
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# -*- coding: utf-8 -*- # @Time : 2019/7/25 18:36 # @Author : Yo # @Email : shuo502@163.com # @File : seleniumdemo.py # @Software: PyCharm # @models: .. # @function: ... # @Git: https://gitee.com/m7n9/PyCharm.git # @Edit: yo # path = "/chromedriver" # driver = webdriver.Chrome(path) # driver=driver.ChromeOp...
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# Generated by Django 3.1 on 2021-09-17 10:46 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Category', fields=[ ('id', models.AutoField(a...
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from PageObjects.HomePage import HomePage from PageObjects.LoginPage import LoginPage from PageObjects.AdminPage import AdminPage from PageObjects.BooksPage import BooksPage from PageObjects.AddBookPage import AddBookPage from Utils.DriverFactory import DriverFactory from time import sleep class AddBookTests...
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"""Helper module for accessing functions.""" from src.SFunction import SFunction from src.SVariable import SVariable class SMpu9250: """Standard functions class for SScript.""" def __init__(self, useVariables=True): self.useVariables = useVariables def getFunctions(self): """"Return a lis...
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#Un alumno desea saber cual será su calificación final en la materia de Algoritmos. Dicha #calificación se compone de los siguientes porcentajes: #55% del promedio de sus tres calificaciones parciales. #30% de la calificación del examen final. #15% de la calificación de un trabajo final. #Leer c1, c2, c3, ef, tf #prom ...
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#!/usr/bin/env python """ Utilities to Study Model Results """ from src.data import get_loader, get_transforms from src.stats import get_stats from src.utils import get_opts import argparse import numpy as np import pandas import pathlib import seaborn as sns import src.gan as gan import torch def infer(model, loader...
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import os import subprocess import argparse from utils import autoNBG if __name__ == "__main__": parser = argparse.ArgumentParser(description='FreeEnCal Outfile Compare') parser.add_argument(dest='task', metavar='task', nargs=1, help='Input the name of logic fragments you want to compare') ...
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import os import re # Extract labels and start and end times from a TextGrid def extract_word_alignments(tg_path): textgrid = open(tg_path) lines = textgrid.readlines() intervaltier_idx = [] for i in range(0, len(lines)): if re.search('IntervalTier', lines[i]): intervaltier_idx.appe...
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# -*- 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 model 'Language' db.create_table(u'language', ( (u'id', self.gf('django.db.models.field...
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from sklearn.metrics import hamming_loss import numpy as np import torch import RNA from src.data_util.data_processing import one_hot_embed_sequence, prepare_sequences, decode_sequence from src.data_util.data_constants import word_to_ix, tag_to_ix, ix_to_word, ix_to_tag from sklearn.metrics import accuracy_score, f1_sc...
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''' PipelineMedip.py - tasks associated with MedipSeq analysis ========================================================== ''' import re import os import collections import sqlite3 import CGAT.Experiment as E import CGAT.Pipeline as P import CGAT.Database as Database import CGAT.IOTools as IOTools from rpy2.robject...
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from django import forms from django.contrib.auth import get_user_model User = get_user_model() class ContactForm(forms.Form): fullname = forms.CharField(widget=forms.TextInput(attrs={"class": "form-control", "placeholder": "your full name"})) email = forms.EmailField(widget=forms.EmailInput(attrs={"class": ...
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#!/usr/bin/env python3 # See LICENSE for licensing information. # # Copyright (c) 2016-2021 Regents of the University of California # All rights reserved. # import unittest from testutils import * import sys, os sys.path.append(os.getenv("OPENRAM_HOME")) import globals from globals import OPTS from sram_factory import ...
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#!/usr/bin/env python """ This script is used to statistics on a list of fastq files copyright@fanjunpeng (jpfan@whu.edu.cn) 2018/1/15: init by fanjunpeng """ import argparse from multiprocessing import Pool from FastqReader import open_fastq from FastaReader import open_fasta def get_length(filename, index, min_l...
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import json from aip import AipOcr import re def binarizing(img): # input: gray image threshold = 200 pixdata = img.load() w, h = img.size for y in range(h): for x in range(w): if pixdata[x, y] < threshold: pixdata[x, y] = 0 else: pixdat...
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from driftproject import app, db from flask import render_template, request, redirect, url_for from driftproject.forms import SignupForm,LoginForm,PostForm,CheckForm from werkzeug.security import check_password_hash from flask_login import login_user, current_user,login_required from driftproject.models import User...
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class User(): def __init__(self,id,username,password): self.id = id self.username = username self.password = password def __str__(self): return f'User Id: {self.id}'
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# -*- mode:python;tab-width:2;indent-tabs-mode:t;show-trailing-whitespace:t;rm-trailing-spaces:t -*- import sys,os,inspect,functools newpath = os.path.dirname(inspect.getfile(inspect.currentframe())) # script directory if not newpath in sys.path: sys.path.append(newpath) import string,re,gzip,itertools import collectio...
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# ASSIGNMENT-9 #Question-1 try: a = 3 a < 4 a = a / (a - 3) except ZeroDivisionError as msg: print('wrong', msg) #Queation-2 try: l = [1, 2, 3] print(l[3]) except IndexError as msg: print('something went wrong', msg) #Question-3 ''' NameError:hi there ''' #Question-4 ...
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import numpy as np import pandas as pd from mlsummary.clustering._clustering_functions import _clust_weight, _clustering_metrics, \ _clustering_evaluation, _store_X, _fm, _ari, _sil, _db, _ch, _clust_centers_X from mlsummary.outliers._outliers_functions import _scatter_clusters_outliers class opticsSummary: d...
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""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.0.10. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os #...
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import hashlib from bashfuscator.core.mutators.string_obfuscator import StringObfuscator class HexHash(StringObfuscator): def __init__(self): super().__init__( name="Hex Hash", description="Uses the output of md5 to encode strings", sizeRating=5, timeRating...
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import json class Loader: def __init__(self, input_data_path): self.spots_json_path = input_data_path + "spots.json" self.links_json_path = input_data_path + "links.json" self.nodes_json_path = input_data_path + "nodes.json" def get_nearest_node_id(self, spot_id_org, spot_id_...
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import webbrowser webbrowser.open("http")
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print ("Game of Life") import sys import time import tkinter from tkinter import * import numpy as np from scipy.sparse import csr_matrix def count(arr, tup, d, x): if tup[0] >= 0 and tup[0] < d and tup[1] >= 0 and tup[1] < d : if arr[tup] == 1: x += 1 return x ##row = [1,0,1,2,2] ##col =...
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""" Django settings for Pb project. Generated by 'django-admin startproject' using Django 3.2.6. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ import ...
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#!/Users/yenchiehliao/Dropbox/bisCrawler/venv/bin/python # -*- coding: utf-8 -*- import re import sys from IPython.testing.iptestcontroller import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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from django.db import models from django.dispatch import receiver from django.db.models.signals import pre_delete, post_delete, pre_save, post_save, m2m_changed from django.utils import timezone from django.contrib.auth.models import User from datetime import date from image_cropping import ImageRatioField from sorte...
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#!D:/workplace/python # -*- coding: utf-8 -*- # @File : 438.找到字符串中所有字母异味词.py # @Author: WangYe # @Date : 2019/9/25 # @Software: PyCharm def findAnagrams(s, p): """ :type s: str :type p: str :rtype: List[int] """ out = [] need = {} for i in p: if i in need: need[i] +...
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from tensorflow.examples.tutorials.mnist import input_data import tensorflow as tf mnist = input_data.read_data_sets('MNIST_data',one_hot=True) # print (mnist) sess = tf.InteractiveSession() x = tf.placeholder(tf.float32,shape=[None,784]) y = tf.placeholder(tf.float32,shape=[None,10]) W = tf.Variable(t...
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from rest_framework import serializers from .models import Lead # Serializador lead class LeadSerializer(serializers.ModelSerializer): class Meta: model = Lead fields = '__all__'
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from django.http import JsonResponse from django.shortcuts import render, redirect from accounts.forms import LoginForm, GuestForm from accounts.models import GuestEmail from orders.models import Order from product.models import Product from billing.models import BillingProfile from addresses.forms import AddressForm f...
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"""Component providing HA Siren support for Ring Chimes.""" import logging from typing import Any from ring_doorbell.const import CHIME_TEST_SOUND_KINDS, KIND_DING from homeassistant.components.siren import ATTR_TONE, SirenEntity, SirenEntityFeature from homeassistant.config_entries import ConfigEntry from homeassist...
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from typing import List, Sequence from tools.datatypes.State import State from tools.datatypes.Byte import Byte hexcToInt = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7, '8': 8, '9': 9, 'a': 10, 'b': 11, 'c': 12, 'd': 13, 'e': 14, 'f': 15, } hexcToBin = {'0': '0000', '1': '0001', '2':...
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''' create a logistic regression from scratch including feature transform, PCA apply Breast cancer data set ''' import numpy as np from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler class log_reg(): def __init__(self, lr=0.25, epoch=100000, batch_size=4, fold=5, init='random')...
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# coding=utf-8 from django.core.cache import cache from models import Category def list_categories(request): categories = cache.get('list_categories') if not categories: categories = Category.objects.filter( is_active=True).order_by('sort_order') cache.set('list_categories', cate...
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import sys from optparse import OptionParser from cbagent.collectors.active_tasks import ActiveTasks from cbagent.collectors.iostat import IO from cbagent.collectors.latency import Latency from cbagent.collectors.observe import ObserveLatency from cbagent.collectors.net import Net from cbagent.collectors.ns_server imp...
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import warnings; warnings.filterwarnings('ignore') import tensorflow as tf,numpy as np,pandas as pd import tensorflow_datasets as tfds from IPython.display import display,HTML pd.set_option('precision',3) tf.keras.backend.set_floatx('float64') tfds.disable_progress_bar() img_size=32 buffer_size,batch_size=10000,64 c1,...
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import sys import fileinput from pylab import * header = True column = -1 prompt = raw_input("Enter the filename(s) to be read:\n") files = prompt.split(", ") for line in fileinput.input(files): s = line.split("\t|\t") if header: print"Select language to sort by:", for word in s[:-1]: print "[" + word + "...
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import scrapy class ExampleSpider(scrapy.Spider): name = 'quotes' allowed_domains = ['example.com'] start_urls = ['http://quotes.toscrape.com'] def parse(self, response): all_quotes = response.css('div.quote') # retrive all quotes title , author and tag details # note it re...
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# formatowanie znane z Pythona 2.x wyznanie = "Lubię %s" % "Pythona" print(wyznanie) wonsz = "Python" print("Lubię %sa" % wonsz) print("Lubię %s oraz %sa" % ("Pythona", wonsz)) # %s oznacza, że w miejsce tego znacznika będzie podstawiany ciąg tekstowy # %i - to liczba całkowita # %f - liczba rzeczywista lub inaczej zmi...
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for test_case in range(1, int(input())+1): N = int(input()) matrix = [list(map(int, [n for n in input()])) for _ in range(N)] result = 0 c = N // 2 for i in range(N): di = (N//2) - abs(i - (N//2)) result += sum(matrix[i][c-di:c+di+1]) print('#{} {}'.format(test_case, result))
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#import spacy #spacy.load('en') from spacy.lang.en import English parser = English() def tokenize(text): lda_tokens = [] tokens = parser(text) for token in tokens: if token.orth_.isspace(): continue elif token.like_url: lda_tokens.append('URL') elif token.o...
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"""A dumb and slow but simple dbm clone. For database spam, spam.dir contains the index (a text file), spam.bak *may* contain a backup of the index (also a text file), while spam.dat contains the data (a binary file). XXX TO DO: - seems to contain a bug when updating... - reclaim free space (currently, space once o...
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# _*_ encoding:utf-8 _*_ from __future__ import unicode_literals from datetime import datetime from django.db import models class TelivisionProgram(models.Model): television_title = models.CharField(verbose_name=u'电视节目名称', max_length=255) note = models.CharField(verbose_name=u'描述', max_length=255,null=True)...
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camel = r""" Switching on camera from habitat with camels... ___.-''''-. /___ @ | ',,,,. | _.'''''''._ ' | / \ | \ _.-' \ | '.-' '-. | ', | '', ...
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'''Backtest Moving Average (MA) crossover strategies ''' import math import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from datetime import timedelta import talib from backtester import Backtester class BollingerMomentum(Backtester): ''' Momentum strategy based on b...
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daniel@blackhatmedia.com