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""" from collections import deque n = int(input()) s = input() ans = deque([n]) for i in range(n - 1, -1, -1): if s[i] == 'R': ans.appendleft(i) else: ans.append(i) print(*ans) """ n = int(input()) s = input() l = [] r = [] for i, c in enumerate(s): if c == 'L': r.append(i) ...
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import codecs import re from Tools import get_html import time import pytz import random from datetime import datetime,timedelta from multiprocessing import Pool,Lock # #把list洗乱 # def shuffle_list(list_name): # # from random import shuffle # shuffle(list_name) # # 返回随机排序后的序列 # return list_name # # #传入商...
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__copyright__ = "Copyright 2016, http://radical.rutgers.edu" __license__ = "MIT" import time import threading import radical.utils as ru from .. import utils as rpu from .. import states as rps from .. import constants as rpc # ============================================================================...
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s = input() #%% # s = "codethanksfes" #%% a = s[0] ans = 0 for l in s: if l<=a: a = l ans += 1 print(ans) #%%
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""" Reference: Paul Covington et al. "Deep Neural Networks for YouTube Recommendations" (https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/45530.pdf) author: massquantity """ import os from itertools import islice import numpy as np import tensorflow as tf2 from tensorflo...
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#!/usr/bin/python # -*- 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 shelltools from pisi.actionsapi import get ...
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# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the License); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed ...
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# model settings model = dict( type='CenterNet', pretrained='./pretrain/darknet53.pth', backbone=dict( type='DarknetV3', layers=[1, 2, 8, 8, 4], inplanes=[3, 32, 64, 128, 256, 512], planes=[32, 64, 128, 256, 512, 1024], norm_cfg=dict(type='BN'), out_indices=(1...
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# -*- coding: utf-8 -*- """ Title: Description: Author: haithem ben abdelaziz Date: Version: Environment: """ import sc_stbt import stbts import stbt import time from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.support import ui from selenium.webdri...
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# coding = utf-8 """ Created on 2017 10.17 @author: liupeng wechat: lp9628 blog: http://blog.csdn.net/u014365862/article/details/78422372 """ import tensorflow as tf from tensorflow.python.framework import graph_util from lib.utils.multi_label_utils import get_next_batch_from_path, shuffle_train_data from l...
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''' Refs: Embedding plot: https://sukhbinder.wordpress.com/2013/12/16/simple-pyqt-and-matplotlib-example-with-zoompan/ ''' from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar import matplotlib.pyplot a...
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
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# -*- coding: utf-8 -*- from tapioca import ( JSONAdapterMixin, TapiocaAdapter, generate_wrapper_from_adapter, ) from requests.auth import HTTPBasicAuth from .resource_mapping import RESOURCE_MAPPING class TogglClientAdapter(JSONAdapterMixin, TapiocaAdapter): api_root = 'https://www.toggl.com/api/v...
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import sys import os from itertools import islice import h5py import numpy as np from sklearn.model_selection import train_test_split sys.path.append(os.path.abspath("./keras-molecules")) from molecules.utils import load_dataset, one_hot_array, one_hot_index import pandas as pd data, charset = load_dataset('./keras...
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# -*- coding: utf-8 -*- from items.biding import biding_gov from utils.toDB import * from scrapy.spiders import CrawlSpider, Rule from scrapy.linkextractors import LinkExtractor import datetime # 山东青岛招投标网站 # 其他信息 class LianjiaSpider(CrawlSpider): name = "qingdao.py" allowed_domains = ["ggzy.qingdao.gov.cn"] ...
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""" Tests for `gpu_programming` module. """ import pytest from gpu_programming import gpu_programming class TestGpu_programming(object): @classmethod def setup_class(cls): pass def test_something(self): pass @classmethod def teardown_class(cls): pass
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''' 08/04/2020 658. Find K Closest Elements - Medium Tag: Binary Search Given a sorted array, two integers k and x, find the k closest elements to x in the array. The result should also be sorted in ascending order. If there is a tie, the smaller elements are always preferred. Example 1: Input: [1,2,3,4,5], k=4, x=...
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def get_characters(num): if num == 2: return "abc" elif num == 3: return "def" elif num == 4: return "ghi" elif num == 5: return "jkl" elif num == 6: return "mno" elif num == 7: return "pqrs" elif num == 8: return "tuv" elif num == ...
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from setuptools import setup setup( name='transax', version='1.0', description='', author='Scott Eisele', author_email='scott.r.eisele@vanderbilt.edu', packages=['transax'], #same as name install_requires=['scipy','pycurl'], #external packages as dependencies )
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""" Django settings for mural project. Generated by 'django-admin startproject' using Django 2.0.3. 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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from django.conf.urls import url,include urlpatterns = [ url(r'^',include('apps.appCourses.urls')) ]
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class Solution: def sortArrayByParity(self, A): """ :type A: List[int] :rtype: List[int] """ even =[] odd = [] for i in A: if i % 2 == 0: even.append(i) else: odd.append(i) return even + odd ...
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import sys from pip._internal.pep425tags import get_supported, version_info_to_nodot from pip._internal.utils.misc import normalize_version_info from pip._internal.utils.typing import MYPY_CHECK_RUNNING if MYPY_CHECK_RUNNING: from typing import List, Optional, Tuple from pip._internal.pep425tags import Pep425...
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inp=int(input("Enter an Integer:")) num=inp print("num:",num) sum=0 while inp>0: n=inp%10 print("n:",n) sum+=n*n*n print("sum:",sum) inp=inp//10 print("inp:",inp) if num==sum: print("Given number is Armtrong") else: print("Given number is not Armstrong")
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# -*- coding: utf-8 -*- from functools import update_wrapper from django.contrib import admin from django.contrib.admin import ModelAdmin from django.core.exceptions import ValidationError, PermissionDenied from django.http import HttpResponse from django.template.defaultfilters import striptags from django.template.lo...
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#import modules #module ? package? #we have to import mathooperatoons.py module import functionsprogram.matoperations as fun res=fun.add(100,200) print(res) sub=fun.sub(200,100) print(res) #create account in github #git
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# -*- coding: utf-8 -*- """ Created on 2015年5月8日 @author: zhang.xiuhai """ import os import hashlib from twisted.internet.protocol import ServerFactory, ProcessProtocol from twisted.protocols.basic import LineReceiver from twisted.python import log from twisted.internet import reactor, threads class TailProtocol(...
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from .DemanglerParseException import DemanglerParseException as DemanglerParseException from .GnuDemangler import GnuDemangler as GnuDemangler from .GnuDemanglerNativeProcess import GnuDemanglerNativeProcess as GnuDemanglerNativeProcess from .GnuDemanglerOptions import GnuDemanglerOptions as GnuDemanglerOptions from .G...
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# -*- coding: utf-8 -*- """ Extract data from VCF files. This module contains Functions for extracting data from Variant Call Format (VCF) files and loading into NumPy arrays, NumPy files, HDF5 files or Zarr array stores. """ from __future__ import absolute_import, print_function, division import gzip import os impor...
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# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries # SPDX-License-Identifier: MIT """ Read data from the accelerometer and print it out, ASAP! """ import board import adafruit_lsm303_accel i2c = board.I2C() # uses board.SCL and board.SDA sensor = adafruit_lsm303_accel.LSM303_Accel(i2c) while True: ...
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class OpenOptException(BaseException): def __init__(self, msg): self.msg = msg def __str__(self): return self.msg #pass #def ooassert(cond, msg): # assert cond, msg def oowarn(msg): s = oowarn.s + msg print(s) return s oowarn.s = 'OpenOpt Warning: ' errSet = set() def ...
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'''Train CIFAR10 with PyTorch.''' from __future__ import print_function import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn import torchvision import torchvision.transforms as transforms import os import time import argparse from models...
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import time import logging import ujson from tornado import gen from tornado import httpclient from tornado import httputil from tornado import ioloop from tornado import websocket try: from util.tools import Log except ImportError: logger = logging.getLogger(__name__) else: logger = Log().getLog() APPLIC...
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# Generated by Django 2.0.3 on 2018-04-03 16:36 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ...
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from time import sleep, time import bit from bit.network.fees import get_fee, get_fee_cached, set_fee_cache_time def test_set_fee_cache_time(): original = bit.network.fees.DEFAULT_CACHE_TIME set_fee_cache_time(30) updated = bit.network.fees.DEFAULT_CACHE_TIME assert original != updated assert up...
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import tensorflow.contrib.slim as slim import matplotlib.pyplot as plt import cPickle as pickle import tensorflow as tf import numpy as np import requests import random import time import gzip import os batch_size = 5000 ''' Leaky RELU ''' def lrelu(x, leak=0.2, name="lrelu"): return tf.maximum(x, leak*x) def...
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from data import * from utils.augmentations import SSDAugmentation from layers.modules import MultiBoxLoss from model import build_ssd import os import sys import time import torch from torch.autograd import Variable import torch.nn as nn import torch.optim as optim import torch.backends.cudnn as cudnn import torch.nn....
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input_num = int(input()) X = input_num * 800 Y = int(input_num / 15) * 200 result = X - Y print(result)
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"""MPC Algorithms.""" import time from abc import ABCMeta, abstractmethod import numpy as np import torch import torch.nn as nn from rllib.dataset.utilities import stack_list_of_tuples from rllib.util.multiprocessing import run_parallel_returns from rllib.util.neural_networks.utilities import repeat_along_dimension f...
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# Copyright (c) 2023 Intel Corporation # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writ...
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# file /home/hep/ss4314/cmtuser/Gauss_v45r10p1/Gen/DecFiles/options/16165060.py generated: Wed, 25 Jan 2017 15:25:15 # # Event Type: 16165060 # # ASCII decay Descriptor: [ Xi_bc+ -> (D+ -> K- pi+ pi+) p+ K- ]cc # from Configurables import Generation Generation().EventType = 16165060 Generation().SampleGenerationTool = ...
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from .get_vcf_info import get_vcf_info from .VCF_ANN_FIELDS import VCF_ANN_FIELDS def get_vcf_info_ann(info, field, n_ann=None): ann = get_vcf_info(info, "ANN") if ann: field_index = VCF_ANN_FIELDS.index(field) return [ann_.split(sep="|")[field_index] for ann_ in ann.split(sep=",")[:n_ann]...
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# coding=utf-8 from sklearn.datasets import load_iris from sklearn.ensemble import RandomForestClassifier import pandas as pd import numpy as np iris = load_iris() df = pd.DataFrame(iris.data, columns=iris.feature_names) df['is_train'] = np.random.uniform(0, 1, len(df)) <= .75 df['species'] = pd.Categorical.f...
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''' Compute the difference between the 12 UTC 850 hPa temp and afternoon high ''' from pyiem.datatypes import temperature import psycopg2 import datetime ASOS = psycopg2.connect(database='asos', host='iemdb', user='nobody') acursor = ASOS.cursor() POSTGIS = psycopg2.connect(database='postgis', host='iemdb', user='nob...
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import enum class StreamSchema(object) : """SPL stream schema.""" def __init__(self, schema): self.__schema=schema.strip() def schema(self): return self.__schema; def spl_json(self): _splj = {} _splj["type"] = 'spltype' _splj["value"] = self.schema() r...
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# Importación unitaria (por elemento) from geg import suma, suma2 # from geg import * print suma([1, 3, 5, 7, 9]) print suma([1, 76, 201, 76]) print suma([5])
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# Generated by Django 2.2.16 on 2020-10-05 17:48 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ("menu", "0001_initial"), ("delivery_user_profile", "0001_initial"), ] operations = [ ...
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# -*- coding: utf-8 -*- from odoo import models, fields, api, _ class Member(models.Model): _inherit = 'res.member' @api.model def get_user_member_details(self): res = super(Member, self).get_user_member_details() # Navigation con_action_id = self.env.ref("cristo_concern...
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# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 5/15/20 4:49 PM # @File : grover.py # qubit number=4 # total number=8 import cirq import cirq.google as cg from typing import Optional import sys from math import log2 import numpy as np class Opty(cirq.PointOptimizer): def optimization_at( ...
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import numpy as np # 1- (10,15,30,45,60) değerlerine sahip numpy dizisi oluşturunuz. result = np.array([10,15,30,45,60]) # 2- (5-15) arasındaki sayılarla numpy dizisi oluşturunuz. result = np.arange(5,15) # 3- (50-100) arasında 5'er 5'er artarak numpy dizisi oluşturunuz. result = np.arange(50,100,5) # 4- 10 eleman...
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import numpy as np from sklearn.datasets import load_breast_cancer from sklearn.metrics import r2_score from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler, StandardScaler from tensorflow.keras.models import Sequential, Model from tensorflow.keras.layers import Dense, Inp...
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from typing import Tuple, AsyncIterator import random import functools import os import secrets from concurrent.futures import ThreadPoolExecutor import asyncio import pytest from hailtop.utils import secret_alnum_string, retry_transient_errors, bounded_gather2, url_scheme from hailtop.aiotools import LocalAsyncFS, Une...
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import random from Fifteen import Puzzle def test_lower_row_invariant(puzzle, start): """ test lower row invariants """ assert start[0] > 1, "not an interior tile" assert puzzle.lower_row_invariant(*start) if start[1] == 0: puzzle.solve_col0_tile(start[0]) else: puzzle.solve_...
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#!/usr/bin/env python3 import os import sys import pickle from collections import OrderedDict import simplejson as json #import json from tax import * import pandas as pd import fastparquet class AllData(General): __slots__ = [ "divisions", "genetic_codes", "names", "nodes", # "no_parents", # "...
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import array import re from unittest import TestCase import church._common as common from church.church import ( Address, Text, Personal, Datetime, Network, File, Development, Food, Hardware, Science, Numbers, Business, Church ) from church.exceptions import ( UnsupportedLocale ) from church.ut...
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############################################################## # This code is part of the MAterials Simulation Toolkit (MAST) # # Maintainer: Tam Mayeshiba # Last updated: 2014-04-25 ############################################################## from pymatgen.io.vaspio import Poscar from pymatgen.io.vaspio import Outc...
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#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2015 missingdays <missingdays@missingdays> # # Distributed under terms of the MIT license. """ """ def rotate(a, n): clock = True for i in range(n): if clock: if a[i] == n-1: a[i] = 0 ...
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import os import sys import code import zdaemon.zdctl import zope.app.wsgi import zope.app.debug def application_factory(global_conf, conf='zope.conf'): zope_conf = os.path.join(global_conf['here'], conf) return zope.app.wsgi.getWSGIApplication(zope_conf) def interactive_debug_prompt(zope_conf='zope.conf'): ...
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## @package SparseTransformer # Module caffe2.experiments.python.SparseTransformer from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from caffe2.python import workspace import scipy.sparse class NetDefNode(): def _...
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import modshogun as sg import data import numpy as np # load data feature_matrix = data.swissroll() # create features instance features = sg.RealFeatures(feature_matrix) # create Isomap converter instance converter = sg.Isomap() # set target dimensionality converter.set_target_dim(2) # compute embedding with Isomap...
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n = int(input()) a_list = list(map(int, input().split())) b_list = list(map(int, input().split())) if sum(a_list) < sum(b_list): print(-1) exit() a_sub_b = [a_list[i] - b_list[i] for i in range(n)] insufficients = [x for x in a_sub_b if x < 0] cnt = len(insufficients) sum_insuf = sum(insufficients) for x in ...
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"""A8Q2 - Character Pairs 5/3/2012 CRNKEE002""" def main(): message = input('Enter a message:\n') print('Number of pairs:', double_chars(0, message)) def double_chars(pos, word): if len(word) == 1 or len(word) == 0: return 0 elif (word[pos] == word[pos+1]) and (pos+1 == len(word)-1)...
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import logging from pyvisdk.exceptions import InvalidArgumentError ######################################## # Automatically generated, do not edit. ######################################## log = logging.getLogger(__name__) def HostVmciAccessManagerAccessSpec(vim, *args, **kwargs): '''The AccessSpec data object ...
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from django.shortcuts import render from .forms import UserForm from .models import User from django.contrib.auth.hashers import make_password, check_password from django.http import HttpResponse from rest_framework.response import Response from rest_framework import status, viewsets from .serializers import UserSe...
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#!/usr/bin/python r"""Ordered radicals The radical of $n$, $rad(n)$, is the product of the distinct prime factors of $n$. For example, $504 = 2^3\times 3^2\times 7$, so $rad(504) = 2\times 3\times 7 = 42$. If we calculate $rad(n)$ for $1\leq n\leq 10$, then sort them on $rad(n)$, and sorting on $...
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#!/usr/bin/python2 # ##################################################################### # id_0060.py # # Przemyslaw Kaminski <cgenie@gmail.com> # Time-stamp: <> ###################################################################### import pickle from itertools import combinations from id_0003 import is_prime if __n...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.test import TestCase # Create your tests here. from django.http import HttpRequest #from django.test import SimpleTestCase from django.urls import reverse from django.test import TestCase,SimpleTestCase from . import views from .models impor...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('customauth', '0005_user_is_moderator'), ] operations = [ migrations.RemoveField( model_name='user', ...
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import sys, torch, torch.nn as nn, torch.nn.functional as F from torch.autograd import Variable def conv(in_channels, out_channels, kernel_size, stride, padding): convolution = nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, padding=padding) batch_norm = nn.BatchNorm2d(out_channel...
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from telegram.ext import Updater, CommandHandler import requests import re # API call to source, get json (url is obtained): contents = requests.get('https://random.dog/woof.json').json() image_url = contents['url'] def get_url(): contents = requests.get('https://random.dog/woof.json').json() url = cont...
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#!/usr/bin/env python # Copyright 2017 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """A script to merge multiple source xml files into a single histograms.xml.""" import argparse import os import sys import xml.dom.mi...
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# Generated by Django 3.1.4 on 2021-06-07 14:33 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('index', '0031_auto_20210607_1431'), ] operations = [ migrations.AlterField( model_name='userdata', name='avatar', ...
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#!/usr/bin/env python # Copyright (C) 2007 Distance and e-Learning Centre, # University of Southern Queensland # # 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 version 2...
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class Solution(object): def maximalSquare(self, matrix): """ :type matrix: List[List[str]] :rtype: int """ if not len(matrix): return 0 mat, maxi = [[0 for i in range(len(matrix[0]))] for j in range(len(matrix))], 0 for c in range(len(matrix[0])): ...
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# Lets make a bot that does some cool shit from flask import Flask, render_template, request, jsonify import aiml import os app = Flask(__name__) @app.route("/") def hello(): return render_template('chat.html') @app.route("/ask", methods=['POST']) def ask(): message = request.form['messageText'].encode('utf-8...
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import dash import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output app = dash.Dash(__name__) app.layout = dbc.Container( [ dcc.Location(id='url', refresh=False), dbc.Row( [ ...
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candies = input("Enter Candies ").split() max = 0 result = [0]*len(candies) extra = int(input("Enter extra candies ")) for i in range(len(candies)): candies[i] = int(candies[i]) if int(candies[i])>max: max = candies[i] for i in range(len(candies)): if(candies[i]+extra>=max): result[i] = True...
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#141 def hasCycle(head): linked_list = [] while head != None: if head in linked_list: return True linked_list.append(head) head = head.next return False #168 def convertToTitle(n): if n <= 0: return else: digits = ['Z','A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','...
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# Generated by Django 2.2.8 on 2019-12-05 19:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('person', '0007_auto_20191205_1833'), ] operations = [ migrations.AddField( model_name='person', name='datetime_updat...
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# Copyright (c) 2012 Mark D. Hill and David A. Wood # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: redistributions of source code must retain the above copyright # notice, this list of conditio...
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from functools import wraps def memorization(func: object) -> object: cache = {} @wraps(func) def wrapper(*args): v = cache.get(args, None) if v == None: cache[args] = func(*args) return cache[args] return wrapper @memorization def fibonacci(n: int) -> i...
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#! /usr/bin/env python # Copyright (C) 2002-2017 CERN for the benefit of the ATLAS collaboration import os import sys from Logger import Logger # module: IDPerformanceSLHCRTT_dynamic_pagemaker.py class IDPerformanceSLHCRTT_dynamic_pagemaker: def __init__(self,argDict={}): # access my args from the dict...
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from django.db import router from django.urls import path from django.urls.conf import include from EVSCapp.EVSCApi.views import (RecordDetailAPIView, LisVehicle, VehicleDetailAPIView, ReportRUDAPIView, ...
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class Solution: def wiggleMaxLength(self, nums): n = len(nums) if n < 2: return n inc = None t = 1 for i in range(1, n): if inc is None: if nums[i] == nums[i - 1]: continue else: ...
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#! /usr/bin/env python # -*- coding: utf-8 -*- """Bidirectional GRU Encoder class.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf from .encoder_base import EncoderOutput, EncoderBase class BGRUEncoder(EncoderBase): """Bidi...
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#108786380 Mar/01/2021 14:42UTC+5.5 Shan_XD 443A - Anton and Letters PyPy 3 Accepted 108 ms 0 KB list = str(input()) if list=='{}': print(0) else: list = (list[1:-1].split(',')) list = [i.strip() for i in list] print(len(set(list)))
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from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from caffe2.python import core from caffe2.python.test_util import caffe2_flaky from collections import defaultdict, Counter from hypothesis import given, settings import...
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from DFTtoolbox.elk import postproc import os # Parameters ======================================= run_task=[1,2,3,4,5,6] wkdir=os.path.dirname(os.path.realpath(__file__)) klabel=['$\Gamma$','X','W','K','$\Gamma$','L','U','W','L','K'] Ebound=[-5,5] state_grp=[['1:1/1/a/a'],['2:2/2/a/a']] # Main =======================...
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import os import random from cubicus.sock import SocketThread from cubicus.models import Event PAIRINGS_FILE = 'pairings.dat' def display_pin(pin): """ Kludge - PIL for now """ from PIL import Image, ImageDraw im = Image.new('RGBA', (300, 100)) draw = ImageDraw.Draw(im) draw.text((5, 5), pin) ...
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-S 0 -X RUN -Q 0 -L 7 138 400 -S 0 -X RUN -Q 0 -L 7 119 400 -S 1 -X RUN -Q 1 -L 4 90 400 -S 1 -X RUN -Q 1 -L 4 72 250 -S 2 -X RUN -Q 2 -L 3 64 250 -S 2 -X RUN -Q 2 -L 3 62 250 -S 3 -X RUN -Q 3 -L 2 40 125 -S 3 -X RUN -Q 3 -L 2 35 150 -S 4 33 150 -S 4 31 150 -S 4 26 100 -S 5 24 150 -S...
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#-*- coding: utf-8 -*- from __init__ import * from connection import * from tornado import log import traceback import etc from statistics import Statistics from tokens import TokenMgr class APNSNotificationWrapper(object): sandbox = True payloads = None connection = None identifier = 1 error_at = ...
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import os import copy import inspect configurations = os.path.realpath(inspect.getfile(inspect.currentframe())) # this file configurations = os.path.dirname(configurations) # Full2017_HTXS_Stage1p2_v7 configurations = os.path.dirname(configurations) # qqH_SF configurations = os.path.dirname(configurations) # Configura...
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from functools import reduce import itertools from operator import add from sympy import ( Add, Mul, Pow, Symbol, exp, sqrt, symbols, sympify, cse, Matrix, S, cos, sin, Eq, Function, Tuple, CRootOf, IndexedBase, Idx, Piecewise, O ) from sympy.core.function import count_ops from sympy.simplify.cse_opts impo...
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import asyncio from autobahn.asyncio.wamp import ApplicationSession, ApplicationRunner from autobahn.wamp.types import RegisterOptions, SubscribeOptions from autobahn.wamp import auth from lib.config import config import aioredis import json class AnalyticsComponent: @classmethod def run(cls): prin...
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# Generated by Django 2.2.7 on 2020-04-03 05:40 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('accounts', '0006_userpro...
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# Copyright (c) 2023, NVIDIA CORPORATION. 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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import ezdxf # hatch with true color requires DXF R2004 or later doc = ezdxf.new("R2004") msp = doc.modelspace() # important: major axis >= minor axis (ratio <= 1.) msp.add_ellipse((0, 0), major_axis=(0, 10), ratio=0.5) hatch = msp.add_hatch() # use default ACI fill color hatch.rgb = (211, 40, 215) # every boundar...
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