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import glob import os import json import pandas as pd from cauldron import project methods = { 'b': 'Back', 'f': 'Front', 'r': 'Rand' } groups = { 'two': [2, 0], 'twogs': [2, 0] } data_path = os.path.abspath( os.path.join(os.path.dirname(__file__), '..', '..', '..', 'results') ) status_glob...
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import numpy as np import PIL from numpy import asarray from PIL import Image import pandas as pd import matplotlib.pyplot as plt from keras.preprocessing.image import ImageDataGenerator from numpy import expand_dims from sklearn.model_selection import StratifiedKFold, KFold from keras.models import Sequential, Model,...
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#!/usr/bin/env python3 """Seven Boom! Create a function that takes a list of numbers and return "Boom!" if the number 7 appears in the list. Otherwise, return "there is no 7 in the list". Source: https://edabit.com/challenge/BokhFunYBvsvHEjfx """ def boom(iterable, target: int) -> str: """Find the target in it...
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d=int(input('Quantos dias: ')) h=int(input('Quantos horas: ')) m=int(input('Quantos minutos: ')) s=int(input('Quantos segundos: ')) total=d*24*60*60 + h*3600 + m*60 + s print(total)
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# You are given an integer array nums and you have to return a new counts array. The counts array has the property where counts[i] is the number of smaller elements to the right of nums[i]. # #   # Example 1: # # # Input: nums = [5,2,6,1] # Output: [2,1,1,0] # Explanation: # To the right of 5 there are 2 smaller elemen...
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from config import Config from flask import Flask, request, abort from linebot.exceptions import ( InvalidSignatureError ) from linebot.models import StickerMessage, MessageEvent, \ TextMessage from strategy import TaskStrategy, eyny_movie, apple_news, \ ptt_beauty, imgur_beauty, random_beauty, ptt_hot, ...
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# -*- coding: utf-8 -*- from __future__ import print_function from config import * from create_board import * from solve_bloard import * from display_board import * from string import * from math import floor import pygame as pg import numpy as np # For error highlighting def set_highlight(row, col, blk, lock): g...
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from django.utils.translation import ugettext_lazy as _ from rest_framework import serializers, exceptions from ..fields import UUIDField from ..models import Duo class DeleteDuoSerializer(serializers.Serializer): duo_id = UUIDField(required=True) def validate(self, attrs: dict) -> dict: duo_id = a...
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#coding=utf-8 #auther:microease studentInfos = [{'name': 'huyankai', 'sex': '男', 'phoneNumber': '15172332476'}] newName = "" newSex = "" newPhoneNumber = "" ''' IndentationError: unindent does not match any outer indentation level 出现这个错误是因为缩进有问题 ''' def printinfo(): print("*"*30) print("欢迎使用系统") print("1:添加新名字") pr...
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#file name: multi_return.py def smallest_element(list_of_things): """ Takes a list of comparable items. Returns the position of the smallest element and its value. """ val=3 smallest_indices =[] the_value = val smallest_values=[] for index, element in enumerate(list_of_things)...
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import insightconnect_plugin_runtime from .schema import GetUsersInput, GetUsersOutput, Input, Output, Component # Custom imports below from icon_zscaler.util.helpers import clean_dict class GetUsers(insightconnect_plugin_runtime.Action): def __init__(self): super(self.__class__, self).__init__( ...
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import pytest from p3.pylib.ApiSchoolClass import ins_ApiSchoolClass @pytest.fixture(scope='package',autouse=True)#fixture是测试装置,package声明对当前目录下所有包有效,autouse声明自动使用 def st_clearAll(request): print(f'\n---初始化::构建空白数据环境') # 初始化代码 ins_ApiSchoolClass.delete_all_school_class() def fin(): print(f'\n--...
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#1. Write a Python program to find those #numbers which are divisible by 7 and multiple of 5, #between 1500 and 2700 (both included). num= [] for num in range(1500,2701): if (num % 7 == 0 ) and (num % 5 == 0): print(num)
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import sys from pathlib import Path PATH_ROOT = Path().absolute().parent.parent sys.path.append(str(PATH_ROOT)) from scdf.src.scripts.remove_accents import remove_accents def insert_words(texto, file, mycol): texto = remove_accents(texto).lower() palavras = list(set([w for w in texto.split() if (len(w) > 3 ...
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# Generated by Django 3.2.4 on 2021-06-26 20:43 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('Hcollections', '0001_initial'), migrations.swappable_dependency...
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import spirecloudexcel from spirecloudexcel.configuration import Configuration as ExcelConfiguration from spirecloudexcel.api.cells_api import CellsApi appId = "your id" appKey = "your key" baseUrl = "https://api.e-iceblue.cn" configuration = ExcelConfiguration(appId, appKey,baseUrl) api = spirecloudexcel.api....
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class IMinimalMapping(object): def __getitem__(self, key): pass def __setitem__(self, key, value): pass def __delitem__(self, key): pass def __contains__(self, key): pass import UserDict class IFullMapping(IMinimalMapping, UserDict.DictMixin): def keys(self): pass class IMinimalSequence(object): ...
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import bpy from .. sockets.info import isList from .. utils.blender_ui import PieMenuHelper ''' ############### ######### ######### Data Input ######### ######### ######### Debug Node ''' class Cont...
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import numpy as np import matplotlib.pyplot as plt from scipy import integrate # Global Definitions u_0 = 4 * np.pi * 10**-7 # Integratttiionn def norm( vect ): return np.linalg.norm(vect) def Biot_Savare(R, I, pos): #inner = integrate.dblquad( lambda dlx, dly: np.linalg.norm(np.cross( [dlx, dly, 0], [pos[0...
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import os import json import uuid import time import redis import asyncio import aioredis import pandas as pd from flask import request, make_response, jsonify, abort from flask_restx import Namespace, Resource, fields from .request_validators import SearchParamSchema from apis.utils import get_key from apis.base impo...
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def plus_one(digits): carry = 1 res = [] for d in digits[::-1]: carry, new_d = divmod(d + carry, 10) res.append(new_d) return res[::-1]
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# -*- coding: utf-8 -*- print('*' * 80) print('Вариант 1') print('-' * 80) print('1. Какъва е стойността на следните изрази:') print('2 ** 3 / 4', 2 ** 3 / 4) print('(5 // 3) ** 1.5', (5 // 3) ** 1.5) print('5 % 2 - 1', 5 % 2 - 1) print('-' * 80) print('2. Какъва е стойността на следните изрази:') print('5 > 4 and 2...
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# -*- coding: utf-8 -*- # # Licensed under the GNU General Public License, version 2. # See the file http://www.gnu.org/licenses/old-licenses/gpl-2.0.txt from pisi.actionsapi import autotools from pisi.actionsapi import pisitools from pisi.actionsapi import get def setup(): autotools.autoreconf("-v") autotool...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for the VSS path specification implementation.""" import unittest from dfvfs.path import vshadow_path_spec from tests.path import test_lib class VShadowPathSpecTest(test_lib.PathSpecTestCase): """Tests for the VSS path specification implementation.""" def...
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# encoding: 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): # Changing field 'Album.cover_art' db.alter_column('djukebox_album', 'cover_art', self.gf('django.db.model...
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class People: def eat(self): print('天生会吃') def drink(self): print('天生会喝水') def you(self): print('会打游戏') erha=People() erha.eat() erha.drink() erha.you()
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from keras import models from keras import layers from keras import optimizers from matplotlib import pyplot as plt import pickle class NeuralNet: def __init__(self, x_train, y_train, lr=0.001): self.model = models.Sequential() self.x_train = x_train self.y_train = y_train self.pa...
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# Copyright 2019, The TensorFlow Federated Authors. # # 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 o...
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""" Given a sequence of integers as an array, determine whether it is possible to obtain a strictly increasing sequence by removing no more than one element from the array. Note: sequence a0, a1, ..., an is considered to be a strictly increasing if a0 < a1 < ... < an. Sequence containing only one element is also consi...
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""" WSGI config for blink 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/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTING...
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#!/usr/bin/env python import networkx as nx from collections import defaultdict import random as r import optparse import sys optparser = optparse.OptionParser(prog='nplp', version='0.0.1', description='simple neural probabilistic language model') optparser.add_option('--seed', None, dest='seed', type='int', default=N...
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import pandas as pd import time import numpy as np from sklearn.cross_validation import train_test_split import lightgbm as lgb import gc path = 'inputs/' dtypes = { 'ip' : 'uint32', 'app' : 'uint16', 'device' : 'uint16', 'os' : 'uint16', ...
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# -*- coding: utf-8 -*- Dia1= int(input('Digite o primeiro dia:')) Mes1= int(input('Digite o primeiro mes:')) Ano1= int(input('Digite o primeiro ano:')) print('\n') Dia2= int(input('Digite o segundo dia:')) Mes2= int(input('Digite o segundo mes:')) Ano2= int(input('Digite o segundo ano:')) print('\n') if Ano1>Ano2: ...
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appli...
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""" This example creates data contained in a list. The length of the list is equal to the number of cores mpi4py is using. Each core gets assigned one piece of data in that list and modifies it. The updated data is passed to the root via gather, where it is then broadcast to all the other cores. """ import sys from mp...
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# Copyright (C) 2016 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> """ Add comment notification type Create Date: 2016-03-21 01:13:53.293580 """ # disable Invalid constant name pylint warning for mandatory Alembic variables. # pylint: disable=invalid-name import sqlalchem...
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############################################################################### # Example of MutualInformationSelector import pandas from nimbusml import Pipeline from nimbusml.feature_extraction.text import NGramFeaturizer from nimbusml.feature_extraction.text.extractor import Ngram from nimbusml.feature_selection imp...
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#calss header class _DIADEMS(): def __init__(self,): self.name = "DIADEMS" self.definitions = diadem self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.basic = ['diadem']
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""" EXERCÍCIO 060: Cálculo do Fatorial Faça um programa que leia um número qualquer e mostre seu fatorial. Ex: 5! = 5 x 4 x 3 x 2 x 1 = 120 """ """ from math import factorial n = int(input('Digite um número para calcular seu fatorial: ')) f = factorial(n) print('O fatorial de {} é {}.'.format(n, f)) """ n = int(inp...
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import numpy as nm from sfepy.base.base import assert_ from sfepy.discrete.fem.utils import prepare_remap, prepare_translate from sfepy.discrete.common.dof_info import expand_nodes_to_dofs from sfepy.discrete.fem.fields_base import VolumeField, H1Mixin class H1HierarchicVolumeField(H1Mixin, VolumeField): family_n...
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# -*- coding: utf-8 -*- c = float(input('Digite a temperatura em graus celsuis:')) f = ((9*c)+160)/5 print ('O valor é %.2F%'f)
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not us...
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import operator y_p = {"a": 0.1, "n": 0.4, "o":0.2, "t":0.3} yy_p = { "a": {"a": 0.05, "n": 0.35, "o":0.1, "t":0.4}, "n": {"a": 0.1, "n": 0.05, "o":0.5, "t":0.1}, "o": {"a": 0.25, "n": 0.5, "o":0.1, "t":0.4}, "t": {"a": 0.6, "n": 0.1, "o":0.3, "t":0.1}, } xy_p = { "A": {"a":0.4, "n":0.3, "o":0.1, "t":0.1}, ...
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import random from PIL import Image import matplotlib.pyplot as plt import numbers import torchvision.transforms as transforms def swap(img, crop): def crop_image(image, cropnum): width, high = image.size crop_x = [int((width / cropnum[0]) * i) for i in range(cropnum[0] + 1)] crop_y = [int...
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# -*- coding: utf-8 -*- # Copyright (C) 2017 MultidadosTI (http://www.multidadosti.com.br) # @author Aldo Soares <soares_aldo@hotmail.com> # License LGPL-3 - See http://www.gnu.org/licenses/lgpl-3.0.html # # Based in module 'base_external_dbsource' # import logging import psycopg2 from odoo import models, fields, api,...
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import numpy as np from scipy.stats import hypergeom from . import distribution class Hypergeometric(distribution.Distribution): """ Hypergeometric Distribution using the following parameterization: f(x | N, M, K) = (M x) (N-M K-x) / (N K) Parameters ---------- N : integer, positive P...
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# render templates import os template_list = ['beinsum.template.f90'] source_list = [tmplt[:-12] + 'f90' for tmplt in template_list] extension_list = [source[:-4] for source in source_list] libdir = os.path.dirname(__file__) def render_f90s(templates=None): from frender import render_f90 if templates is None...
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def main(): import sys input = sys.stdin.readline sys.setrecursionlimit(10**7) from collections import Counter, deque from itertools import combinations, permutations, accumulate, groupby, product from bisect import bisect_left,bisect_right from heapq import heapify, heappop, heappush im...
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from __future__ import absolute_import, unicode_literals import os from celery import Celery # set the default Django settings module for the 'celery' program. os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mycoconut.settings') # The broker bydefault is RabbitMQ app = Celery('mycoconut', backend='redis://localhost'...
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''' Given an integral number, determine if it's a square number: In mathematics, a square number or perfect square is an integer that is the square of an integer; in other words, it is the product of some integer with itself. The tests will always use some integral number, so don't worry about that in dynamic typed l...
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# This program writes three lines of data # to a file. def main(): # Open a file named philosophers.txt. outfile = open('philosophers.txt', 'w') # Write the names of three philosphers # to the file. outfile.write('John Locke\n') outfile.write('David Hume\n') outfile.write('Edmund Burke\n') ...
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/toshiki/ros_ws/install/include".split(';') if "/home/toshiki/ros_ws/install/include" != "" else [] PROJECT_CATKIN_DEPENDS = "roscpp;std_msgs;baxter_trajectory_streamer;baxter_core_msgs;actionlib_...
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"""Various logging modules.""" import logging import coloredlogs def get_logger(log_to_console=True, log_to_file=True): """Initialize Python logger that outputs to file and console.""" assert log_to_console or log_to_file logger = logging.getLogger("main_logger") logger.setLevel(logging.DEBUG) f...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('artists', '0014_currentpayoutperiod'), ] operations = [ migrations.AddField( model_name='currentpayoutperiod', ...
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class GraphEdge: def __init__(self, movie_name, destination_node): self.name = movie_name self.destination = destination_node
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#### NOTICE: THIS FILE IS AUTOGENERATED #### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY #### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES from swgpy.object import * def create(kernel): result = Intangible() result.template = "object/draft_schematic/item/theme_park/alderaan/act3/shared_dead_eye_prototype.iff...
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#!/usr/bin/env python # encoding: utf-8 """ @Author: yangwenhao @Contact: 874681044@qq.com @Software: PyCharm @File: mem_load_test.py @Time: 2020/3/29 10:30 PM @Overview: """ import torch import numpy as np from torchvision.models import ResNet from torchvision.models.resnet import BasicBlock model = ResNet(BasicBloc...
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# -*- coding: utf-8 -*- # pylint: disable=no-init,too-few-public-methods import os basedir = os.path.abspath(os.path.dirname(__file__)) updir = os.path.dirname(basedir) class BaseConfig(object): DEBUG = True SECRET_KEY = os.environ.get('SECRET_KEY') or 'hard to guess string' # pony orm config PONY...
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''' https://leetcode.com/problems/combination-sum-ii/ Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target. Each number in candidates may only be used once in the combination. Note: All numbers (including...
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# # Thierry Parmentelat - INRIA # from PLC.Faults import * from PLC.Method import Method from PLC.Parameter import Parameter, Mixed from PLC.Auth import Auth from PLC.Persons import Person, Persons from PLC.TagTypes import TagType, TagTypes from PLC.PersonTags import PersonTag, PersonTags # need to import so the core...
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# Help taken from Linux Academy :) #!/usr/bin/python3 import socket ircsock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server = "chat.freenode.net" # Server channel = "##bot-testing" # Channel botnick = "shreyansh26Bot" # Your bot's nickname. adminname = "shreyansh26Bot" #Your IRC nickname. exitcode = "b...
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from django.db import models # Create your models here. class Task(models.Model): title = models.CharField(max_length=100) description = models.CharField(max_length=250, blank=True, null=True) date_added = models.DateField(auto_now_add=True) def __str__(self): return self.title cla...
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include_rules = [ "+components/cloud_devices/common", "-components/printing", "+components/printing/common", "+content/public/common", "+ipc", "+printing", "+third_party/WebKit/common", "+third_party/WebKit/public", "+ui/gfx" ]
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from django.contrib import admin class LocalAdminSite(admin.AdminSite): """Custom admin site for PPA to override header & label.""" site_header = "Princeton Prosody Archive administration" site_title = "Princeton Prosody Archive site admin"
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# Copyright 2021 QuantumBlack Visual Analytics Limited # # 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 # # THE SOFTWARE IS PROVIDED "AS IS",...
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# -*- coding: utf-8 -*- """ Created on Sat Feb 9 07:08:51 2013 @author: daniel """ # Programa: circulo.py # Proposito: calcula el area y el perimetro de un circulo conociendo su radio # Autor: Daniel Mery # Fecha: 02/09/2013 # Math Module: carga funcion pi from math import pi # Data input: valor del radio (en met...
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# Quotes script # Stores quotes in the user file in a list # user_list[user_name]['quotes'] = [[Submitter, Quote, [optional, tags, for, search], [Submitter, Quote, [optional, tags, for, search]] # MUST MAKE SURE USER PLUGIN DOES NOT OVERWRITE QUOTES WHEN REGISTERING OR ANY DISK WRITE # Features: Users can add any qu...
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# -*- coding: utf-8 -*- n,k = map(int, input().split()) al = list(map(int, input().split())) # def f(x): # res = 0 # for a in al: # res += a^x # return res # res = 0 # for x in range(k+1): # res = max(res, f(x)) # print(res) maxd = 50 dp = [[-1, -1] for _ in range(maxd+1)] dp[0][0] = 0 for d i...
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pair_numbers = list() for number in range(0, 10, 2): pair_numbers.append(number) print(pair_numbers) text = '''En un lugar de la Mancha de cuyo nombre no puedo acordarme vivía un hidalgo que no me acuerdo si tenía una talla XL''' new_text = '' index = 0 for char in text: if char == 'x' or char == 'X': ...
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import numpy as np import tensorflow as tf from kymatio.keras import Scattering2D from ..layers.layers_efficient import PrimaryCaps, FCCaps, Length, Mask, generator_graph_mnist def wst_capsnet_graph(input_shape, name): inputs = tf.keras.Input(input_shape) # (28, 28, 1) ==>> (24, 24, 32) x = tf.keras.laye...
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from __future__ import print_function import os from argparse import ArgumentParser parser = ArgumentParser(description='Patch some header code generation, so it builds') parser.add_argument("-f", "--file", required=True) parser.add_argument("-p", "--patches", required=True) parser.add_argument("-v", "--verbose", def...
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import sys import os from sqlalchemy import Column, ForeignKey, Integer, String, DateTime from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, backref from sqlalchemy import create_engine Base = declarative_base() class User(Base): __tablename__ = 'user' id = Column...
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import datetime from django import forms from airmozilla.base.forms import BaseModelForm, BaseForm from airmozilla.main.models import EventRevision class CalendarDataForm(BaseForm): start = forms.IntegerField() end = forms.IntegerField() def clean_start(self): try: return datetime.d...
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from datetime import datetime import time import typing from bxutils import logging from bxutils.logging.log_record_type import LogRecordType from bxcommon.utils.proxy import task_pool_proxy from bxcommon.services.transaction_service import TransactionService from bxcommon.services.extension_transaction_service impor...
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import os import time import unittest class StructSeqTest(unittest.TestCase): def test_tuple(self): t = time.gmtime() self.assertIsInstance(t, tuple) astuple = tuple(t) self.assertEqual(len(t), len(astuple)) self.assertEqual(t, astuple) for i in range(-len(t), len(...
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from __future__ import division import numpy as np class Learn: # dim -- dimension # dim_list -- dimension of each layer [500,500] # node_num_list how many nodes in each layer [100,1000] def __init__(self, dim_list, node_num_list, batch_size, neg_sample_size, gradient_step, converge_tresh): l...
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# -*- coding: utf-8 -*- """ some preprocessing operators """ import torch def drawGaussian(pt, image_shape, sigma=2): """ Args: pt: shape(N, M, K, 2) sigma: scalar 2 or 3 in common case image_shape: shape(2) Returns: keypoint_heatmap: shape(N, M, K, S, S) """ t...
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import os import json def get_project_path(path = None): if not path: path = os.getcwd() while path != "/": files = os.listdir(path) if ".tracerbullet" in files and os.path.isdir(path+"/.tracerbullet"): return path path = os.path.dirname(path) return None ...
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# services/exercises/project/__init__.py import os from flask import Flask from flask_cors import CORS from flask_debugtoolbar import DebugToolbarExtension from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate # instantiate the extensions db = SQLAlchemy() migrate = Migrate() toolbar = DebugToo...
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#-*- coding: utf-8 -*- import maya.cmds as rig from RIG.tools.IOWeights.IOMainFun import * from RIG.simulation.simulationMain import SM_warning from RIG.commonly.base import SK_getSkinCluster class SK_IOWeightsUI(object): def __init__(self): self.displayUI() def displayUI(self): IDMTRi...
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from __future__ import print_function, unicode_literals, absolute_import, division import os from cdstarcat.catalog import Catalog from tqdm import tqdm from clldutils.clilib import command from pytsammalex.util import MediaCatalog, add_rows, filter_rows, data_file from pytsammalex.data_providers.gbif import GBIF fro...
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""" # Counter : 연속된 값을 defaultdict(int)와 유사한 객체로 젼환해 준다. key와 value의 빈도를 연결시켜 줌 """ from collections import Counter c = Counter([0, 1, 2, 0]) # c = {0 : 2, 1 : 1, 2 : 1} # document는 단어의 list word_counts = Counter(document) """ most_common """ # 가장 자주 나오는 단어 10개와 이 단어들의 빈도수를 출력 for word, count i...
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import pandas as pd totals = pd.read_csv('totals.csv').set_index(keys=['name']) counts = pd.read_csv('counts.csv').set_index(keys=['name']) print("City with lowest total precipitation:") totals.sum(axis=1).idxmin() print("Average precipitation in each month:") totals.sum(axis=0).div(counts.sum(axis=0)) print("Averag...
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