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# Generated by Django 2.2.17 on 2020-11-04 14:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('course', '0001_initial'), ('users', '0001_initial'), ] operations = [ migrations.AddField( model_name='user', ...
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import os dir = '/mnt/scratch/songlin3/run/p38a/L2EE/MD_NVT_rerun/ti_one-step/2EE_2J/' filesdir = dir + 'files/' temp_prodin = filesdir + 'temp_prod_4.in' temp_pbs = filesdir + 'temp_4.pbs' lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078] for j in l...
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import os, inspect currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os.path.dirname(os.path.dirname(currentdir)) os.sys.path.insert(0, parentdir) import sys import numpy as np import argparse import pybullet as p import time gui = True cid = p.connect(p....
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# Main Imports import json # Django Imports from django.shortcuts import render, get_object_or_404, HttpResponse from django.http import HttpResponseRedirect from django.core.exceptions import ObjectDoesNotExist from django.core.files import File from django.contrib.auth.models import User from django.utils import tim...
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def make_transpose(m): dm = len(m) dn = len(m[0]) tm = [[0] * dm for i in range(dn)] for i in range(dm): for j in range(dn): tm[j][i] = m[i][j] return tm
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p = 5 # Interest rate % A = 1000 # Initial amount years = 3 # Number of years to grow # Formula for calculating sum: A(1 + p/100)^n # To avoid integer division we convert p to float sum = A * (1 + (float(p)/100))**years print("After %g years with %g%% interest rate and an initial amount of %g we have %g." ...
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from armulator.armv6.arm_exceptions import UndefinedInstructionException from armulator.armv6.bits_ops import substring, bit_at from armulator.armv6.opcodes.abstract_opcodes.ldc_ldc2_immediate import LdcLdc2Immediate class LdcLdc2ImmediateA2(LdcLdc2Immediate): @staticmethod def from_bitarray(instr, processor)...
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guitars= [ {"model1" : 'famaha f310' ,"price": 8400}, {"model2" : 'faith neptune' ,"price": 100000}, {"model3" : 'faith appolo venus' ,"price": 35000}, {"model4" : 'taylor' ,"price": 450000} ] sorted_guitars = sorted(guitars, key= lambda d: d["price"],reverse = True) print(sorted_guitars)
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import argparse import voxceleb1 if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--path", required=True) args = parser.parse_args() config = voxceleb1.training.Config(args.path) del config.param_dict["_dob"] kvs = ["--%s %s" % item for item in config.p...
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#!/usr/lib/python3.0 # This program extracts bipartite edgelist of users and links belonging to a specific time window (both the link and the votes should come from that time window) # Author: Roja Bandari # October 2012 from pymongo import Connection from PARAMETERS import * import datetime import time import sys ...
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roman = ( ('M', 1000), ('CM', 900), ('D', 500), ('CD', 400), ('C', 100), ('XC', 90), ('L', 50), ('XL', 40), ('X', 10), ('IX', 9), ('V', 5), ('IV', 4), ('I', 1) ) def roman_to_dec(s): result = 0 index = 0 for numeral, integer in roman: whil...
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"""Render Twitter Squares Usage: render.py <term> <n_images> [--resolution=<n>] Options: -h --help Show this screen. -r --resolution=<n> Output resolution [default: 1200] """ import glob import os import sys import random from tqdm import tqdm import numpy as np import cv2 from docopt import doco...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from ._enums import * from .database import * from .get_database import * from .get_managed_database import...
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import _surface import chimera try: import chimera.runCommand except: pass from VolumePath import markerset as ms try: from VolumePath import Marker_Set, Link new_marker_set=Marker_Set except: from VolumePath import volume_path_dialog d= volume_path_dialog(True) new_marker_set= d.new_marker_set marker_set...
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# Source: https://tinyurl.com/v3zqer7 # Approach 1 class Solution(object): def minDominoRotations(self, A, B): """ :type A: List[int] :type B: List[int] :rtype: int """ result = float("inf") for domino in range(1, 7): # Since each domino can have only 1 to 6 ...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
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#!/usr/bin/python3 """ mysqldb filter states """ import sys import MySQLdb def db_connection(user_name, password, db_name, host="localhost"): """ db_connection - connects to db :param user_name: username :param password: password :param db_name: database name :param host: host - default to lo...
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# 참고 : https://pacific-ocean.tistory.com/152 # https://claude-u.tistory.com/204 # dp[i]의 최댓값을 구하는 것은 세 가지 방법에 의해 결정된다. # 1) OXOO: 연속 두 개 # 2) OXO: 하나 띄고 한 개 # 3) X: i 번째를 마시지 않는 경우 from sys import stdin input = stdin.readline n = int(input()) a = [0] + [int(input()) for _ in range(n)] dp = [0, a[1]] if n > 1: dp....
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""" This type stub file was generated by pyright. """ import vtkmodules.vtkCommonCore as __vtkmodules_vtkCommonCore import vtkmodules.vtkCommonExecutionModel as __vtkmodules_vtkCommonExecutionModel import vtkmodules.vtkIOXMLParser as __vtkmodules_vtkIOXMLParser from .vtkXMLReader import vtkXMLReader from .vtkXMLDataRe...
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import pymysql as sql db = sql.connect(host='localhost',port=3306,user='bank_app',password='redhat',database='bank_app') c = db.cursor() f = open('bank_data.csv') data = [] for line in f : d = line.split(',') d[2] = float(d[2][:-1]) data.append(d) f.close() for var in data : name = var[0] p...
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''' The original script shows how to predict the next day's closing stock prices using a basic RNN https://github.com/hunkim/DeepLearningZeroToAll/blob/master/lab-12-5-rnn_stock_prediction.py At first, let's understand the original code and prior arts completely ''' import tensorflow as tf import numpy as np import ma...
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# coding=utf-8 # Copyright 2018 The TF-Agents 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...
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#!/usr/bin/env python3 """Tetra-nucleotide counter""" import sys import os from collections import defaultdict args = sys.argv[1:] if len(args) != 1: print('Usage: {} DNA'.format(os.path.basename(sys.argv[0]))) sys.exit(1) arg = args[0] dna = '' if os.path.isfile(arg): dna = ''.join(open(arg).read().spl...
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import __main__ if __main__.__file__ != 'main.py': exit('run main.py') from .DHlib.DHalg import encrypt, decrypt, getSharedSecret, printAllKeys, printParams from lib.colors import * from lib.duty import * key = getSharedSecret() printAllKeys() while True: printParams(); message = typedText('Enter me...
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__author__ = 'Rushil' #SetCount(x) - Number of ones in an binary number x #Johnny wants to find a binary number, D, that is the smallest binary number >B where setCount(B) = setCount(D) #He then wants to compress D into an array of integers,C (in the same way that integer array A contains the compressed form of bi...
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""" byceps.services.board.models.topic ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :Copyright: 2006-2019 Jochen Kupperschmidt :License: Modified BSD, see LICENSE for details. """ from datetime import datetime from sqlalchemy.ext.associationproxy import association_proxy from ....blueprints.board.authorization import ( B...
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import rx import rx.operators as ops import rxsci as rs def test_completion(): data = [1, 2, 3] actual_data = [] actual_completed = [] rx.from_(data).pipe( rs.ops.tee_map( ops.count(), rs.math.sum(reduce=True), ) ).subscribe( on_next=actual_data.app...
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import random # random.random() returns a random floating number between 0.000 and 1.000 # random.random() * 50 returns a random floating number between 0.000 and 50.000 # random.random() * 25 + 10 returns a random floating number between 10.000 and 35.000 # round(num) returns the rounded integer value of num 0.5 roun...
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import cv2 import numpy as np import dateutil
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import numpy as np a = np.arange(12) a1 = np.copy(a) print("Исходная матрицы") a2 = np.reshape(a1, (3, 4)) print(a2, '\n') a2 = a2.T print("Транспонированная матрица") print(a2, '\n') #min, max, sum, сортировка b = np.array([[2, 8, 0], [6, 1, 3], [4, 7, 5]]) print("Новая исходная матрица\n", b, '\n') dsum = b.sum...
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import gym from gym import error, spaces, utils from gym.utils import seeding from numbers import Number from collections import OrderedDict import pybullet as p import pybullet_data import os import numpy as np import random # ENVIRONMENT CONFIGURATION NEUTRAL_VALUES = [0.015339807878856412, -1.4839419194602816, ...
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# -*- coding: utf-8 -*- #例4.1简单地打印数字 #很有趣的是,Python没有do..while以及while..until #但是我们也可以强行实现 while True: print 'Please enter a number:' number = input() print number if number==0: break print 'List Ended'
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""" 捷径社区的捷径排行榜 """ from pprint import pprint import requests import looter as lt domain = 'https://sharecuts.cn' total = [] def crawl(url): items = requests.get(url, headers=lt.DEFAULT_HEADERS).json() for item in items: data = {} data['name'] = item['name'] data['category'] = item['Ca...
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import numpy as np from utils import * from data_getters import * from postprocessing import * import copy import torch def interpolate_models(model1, model2, beta): params1 = model1.named_parameters() params2 = model2.named_parameters() new_model = copy.deepcopy(model2) new_params = new_model.named...
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from rest_framework.generics import ListAPIView from app.api.news.serializers import NewsSerializer from app.model import News class NewsListAPIView(ListAPIView): serializer_class = NewsSerializer def get_queryset(self): qs = News.objects.all() v = self.request.GET.get('-views') l_se...
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################################################################################################### # Module: simplify.py # Description: Simplify and correct network topology # License: MIT, see full license in LICENSE.txt # Web: https://github.com/gboeing/osmnx #########################################################...
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from collections import Counter input() A=list(map(int,input().split())) A.sort(reverse=True) C=Counter(A) ans=0 for a in A: if C[a]==0: continue C[a]-=1 t=2**a.bit_length()-a if C[t]: C[t]-=1 ans+=1 print(ans)
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kwnafi@yahoo.com
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#!/usr/bin/python3 """ Inserts Louisiana state. """ import sys from sqlalchemy import create_engine from model_state import Base, State from sqlalchemy.orm import sessionmaker if __name__ == "__main__": engine = create_engine('mysql+mysqldb://{}:{}@localhost/{}' .format(sys.argv[1], sys....
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#!/usr/bin/env python3 # Copyright (c) 2004-present Facebook All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. from typing import List from ..client import SymphonyClient from ..consts import Entity, User from ..exceptions import EntityNotFoundE...
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from xai.brain.wordbase.verbs._cry import _CRY #calss header class _CRYINGS(_CRY, ): def __init__(self,): _CRY.__init__(self) self.name = "CRYINGS" self.specie = 'verbs' self.basic = "cry" self.jsondata = {}
[ "xingwang1991@gmail.com" ]
xingwang1991@gmail.com
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MillerWu2014/remote_project
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import pandas as pd x = pd.Series(range(100)) print(pd.cut(x, 50, labels=range(50)))
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from xai.brain.wordbase.nouns._bandage import _BANDAGE #calss header class _BANDAGED(_BANDAGE, ): def __init__(self,): _BANDAGE.__init__(self) self.name = "BANDAGED" self.specie = 'nouns' self.basic = "bandage" self.jsondata = {}
[ "xingwang1991@gmail.com" ]
xingwang1991@gmail.com
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import curses from typing import List from cloudstoragetui.constants import KEY_QUIT, KEY_UP, KEY_DOWN, KEY_LEFT, KEY_RIGHT, KEY_ENTER, ESC, UP, DOWN, LEFT, RIGHT from cloudstoragetui.draw import DrawnBox from cloudstoragetui.cursor_state import CursorState from cloudstoragetui.debug import log def _extract_min_max(b...
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sham.joey@gmail.com
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import torch import torch.optim as optim class RolloutStorage: def __init__(self,num_steps,num_processes,action_size): pass class PPO(object): def __init__( self, controller, clip_param, lr, baseline_decay, action_size = 18, ppo_epoch=1, ...
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you@example.com
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from fastapi import FastAPI import datetime app = FastAPI() @app.get("/") async def root(): return {"message": f"Hello World at {datetime.datetime.now()}"}
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def acha_bigramas(string): lista=[] i=0 while i<len(string): if string[i:i+2] not in lista and len(string[i:i+2])>3: lista.append(string[i:i+2]) i+=1 return lista
[ "you@example.com" ]
you@example.com
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/dna-methylation/scripts/develop/illumina450k/residuals/plot/scatter_comparison.py
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import pydnameth as pdm import pandas as pd import os.path from scripts.develop.routines import * max_rows = 10 fn = 'scatter_comparison_rows.xlsx' rows_dict = {} if os.path.isfile(fn): df = pd.read_excel(fn) tmp_dict = df.to_dict() for key in tmp_dict: curr_dict = tmp_dict[key] rows_dict[...
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""" Deepforest main module. This module holds the deepforest class for model building and training """ import os import csv import warnings from PIL import Image with warnings.catch_warnings(): #Suppress some of the verbose tensorboard warnings, compromise to avoid numpy version errors warnings.filterwarnings(...
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/myowntests/ifelseladder.py
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2022-11-24T11:05:08.707003
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maths=int(input('fill your math grade')) physics=int(input('fill your physics grade')) chemistry=int(input('fill your chemistry grade')) av=(maths+physics+chemistry)/3 if maths<35: print('Exam Failed') else:print('Exam passed') if physics<35: print('Exam failed') else:print('Exam passed') if physics<35: ...
[ "66350396+Maxcousin123@users.noreply.github.com" ]
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############################################################################################################################################################################################################# ##################################################################################################################...
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# Copyright 2012 Managed I.T. # # Author: Kiall Mac Innes <kiall@managedit.ie> # # 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 r...
[ "dongpzh@adtec.com.cn" ]
dongpzh@adtec.com.cn
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/week7/CrawWeb/craw_web.py
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[]
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kobso1245/Hack_BG
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from Crawler import * from Histogram import * from Plotter import * if __name__ == '__main__': craw("http://register.start.bg/", "histogram2") plot("path_to_database_file/websites.db")
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from wazimap_ng.datasets.models import IndicatorData from wazimap_ng.utils import mergedict def get_subindicator(highlight): subindicators = highlight.indicator.subindicators idx = highlight.subindicator if highlight.subindicator is not None else 0 return subindicators[idx] def sibling(highlight, geogra...
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import fnmatch import io import shutil import tempfile import torch import torch.utils.show_pickle # from torch.utils.mobile_optimizer import optimize_for_mobile from torch.jit.mobile import ( _load_for_lite_interpreter, _get_model_bytecode_version, _get_model_ops_and_info, _backport_for_mobile_to_buffe...
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# -*- coding: utf-8 -*- """Tests using pytest_resilient_circuits""" import pytest from .common_config import github_config, TS from resilient_circuits.util import get_config_data, get_function_definition from resilient_circuits import SubmitTestFunction, FunctionResult PACKAGE_NAME = "fn_github" FUNCTION_NAME = "gith...
[ "travis@example.org" ]
travis@example.org
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################################################################################ # Copyright (C) 2016-2020 Abstract Horizon # All rights reserved. This program and the accompanying materials # are made available under the terms of the Apache License v2.0 # which accompanies this distribution, and is available at # http...
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natdan@users.noreply.github.com
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from django_websocket.decorators import *
[ "gregor@muellegger.de" ]
gregor@muellegger.de
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/sdBs/AllRun/fbs_0140+360/sdB_FBS_0140+360_lc.py
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[]
no_license
tboudreaux/SummerSTScICode
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from gPhoton.gAperture import gAperture def main(): gAperture(band="NUV", skypos=[25.926708,36.25925], stepsz=30., csvfile="/data2/fleming/GPHOTON_OUTPU/LIGHTCURVES/sdBs/sdB_FBS_0140+360 /sdB_FBS_0140+360_lc.csv", maxgap=1000., overwrite=True, radius=0.00555556, annulus=[0.005972227,0.0103888972], verbose=3) if __name...
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from selenium import webdriver USER = "<아이디>" PASS = "<비밀번호>" # PhantomJS 드라이버 추출하기 --- (※1) browser = webdriver.PhantomJS() browser.implicitly_wait(3) # 로그인 페이지에 접근하기 --- (※2) url_login = "https://nid.naver.com/nidlogin.login" browser.get(url_login) print("로그인 페이지에 접근합니다.") # 텍스트 박스에 아이디와 비밀번호 입력하기 --- (※3) ...
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import torch.nn as nn class GPT2LMHead(nn.Module): def __init__(self, model_embeddings_weights, config): super(GPT2LMHead, self).__init__() self.n_embd = config.n_embd self.set_embeddings_weights(model_embeddings_weights) def set_embeddings_weights(self, model_embeddings_weig...
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class Solution: def canPlaceFlowers(self, flowerbed: List[int], n: int) -> bool: if n == 0: return True if len(flowerbed) == 0: return False if len(flowerbed) == 1: return flowerbed[0] == 0 pre,cur = flowerbed[0],flowerbed[1] if pre + cur == 0: flower...
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# 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 writing, software # d...
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#779. K-th Symbol in Grammar #On the first row, we write a 0. Now in every subsequent row, we look at the previous row and replace each occurrence of 0 with 01, and each occurrence of 1 with 10. #Given row N and index K, return the K-th indexed symbol in row N. (The values of K are 1-indexed.) (1 indexed). #Examples:...
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# coding=utf-8 # Copyright 2020 The Tensor2Tensor 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...
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r=int(input()) print("ABC"if r<1200else"ARC"if r<2800else"AGC")
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from uuid import uuid4 from django.db.models import Count from product.constant import ProductStatus from shop.models import Shop, HistoryRealName, ShopRejectReason, PayChannel from shop.utils import get_shop_mini_program_qcode, put_qcode_file_to_tencent_cos from user.models import User from shop.constant import ( ...
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# data """Luke Skywalker,172,77 # C-3PO,167,75 # R2-D2,96,32 # Darth Vader,202,136 # Leia Organa,150,49 # Owen Lars,178,120 # Beru Whitesun lars,165,75 # R5-D4,97,32 # Biggs Darklighter,183,84 # Obi-Wan Kenobi,182,77 # A...
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# # BSD 3-Clause License # # Copyright (c) 2017 xxxx # All rights reserved. # Copyright 2021 Huawei Technologies Co., Ltd # # 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 ...
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from frappe import _ def get_data(): return { 'fieldname': 'agent_payment_request', 'transactions': [ { 'label': _('Linked Forms'), 'items': ["Journal Entry"] } ] }
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from alento_bot import guild_data_transformer import logging import typing logger = logging.getLogger("main_bot") @guild_data_transformer(name="guild_logging_config") class GuildLoggingConfig: def __init__(self): self.toggled_on: bool = False self.log_channel_id: int = 0 self.exempt_chan...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2019/10/23 11:16 # @Author: yanmiexingkong # @email : yanmiexingkong@gmail.com # @File : result.py import requests def get_result(rid): """ 通过 rid 获取结果 :param rid: :return: """ url = "https://blast.ncbi.nlm.nih.gov/Blast.cgi" heade...
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from __future__ import print_function import sys sys.path.insert(1,"../../") import h2o import os import tempfile from tests import pyunit_utils def generate_large_file(path, size): with open(path, "wb") as f: f.seek(size-1) f.write(b"\0") assert size == os.stat(path).st_size def upload_larg...
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'GeoRegistry API Python wrapper' # Import system modules import urllib import urllib2 import simplejson # Core baseURL = 'http://georegistry.invisibleroads.com' def updateFeatures(key, srid, featureCollection, tags, public=False): 'Update features using the GeoRegistry web service' # Initialize url = ba...
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# -*- coding: utf-8 -*- # Author: Henry Lin <hlin117@gmail.com> # Tom Dupré la Tour # License: BSD from __future__ import division, absolute_import import numbers import numpy as np import warnings from . import OneHotEncoder from ..base import BaseEstimator, TransformerMixin from ..utils.validation impor...
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from skimage.metrics import structural_similarity as ssim from imutils import paths import matplotlib.pyplot as plt import numpy as np import cv2 import glob import os import argparse ap = argparse.ArgumentParser() ap.add_argument("-t", "--threshold", type=float, default=0.9, help="threshold") ap.add_a...
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import networkx as nx import matplotlib.pyplot as plt def get_min(D, X): arg_min= -1 min_value= float('inf') for i in range(len(D)): if D[i] < min_value: if i in X: arg_min= i min_value= D[i] return arg_min def dijkstra(src, G): D= [float('inf')...
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""" Created on 21 Mar 2017 @author: Bruno Beloff (bruno.beloff@southcoastscience.com) """ from scs_core.osio.client.rest_client import RESTClient from scs_core.osio.data.user import User from scs_core.osio.data.user_metadata import UserMetadata # ---------------------------------------------------------------------...
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"""Utility functions to control random seeds.""" import torch class temporary_seed: """Temporarily set PyTorch seed to a different value, then restore current value. This has the effect that code inside this context does not influence the outer loop's random generator state. """ def __init__(se...
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# Copyright 2021 The DDSP 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 or agreed to in wri...
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#This example still uses gmail but this time includes an attachment import os,smtplib from email.mime.text import MIMEText from email.encoders import encode_base64 from email.mime.multipart import MIMEMultipart from tkinter.filedialog import askopenfilename from email.mime.base import MIMEBase # function that sends the...
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# -*- coding: utf-8 -*- ''' @author: Marcos Fernandez Diaz November 2020 Example of use: python pom1_NN_worker_pycloudmessenger.py --user <user> --password <password> --task_name <task_name> --id <id> Parameters: - user: String with the name of the user. If the user does not exist in the pycloudmessenger...
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from tkinter import * from tkinter import ttk root = Tk() tree = ttk.Treeview(root) tree["columns"]=("one","two") tree.column("one", width=100 ) tree.column("two", width=100) tree.heading("one", text="coulmn A") tree.heading("two", text="column B") tree.insert("" , 0, text="Line 1", values=("1A","...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import rospy import random # from geometry_msgs.msg import Twist from sensor_msgs.msg import Image import sys from cv_bridge import CvBridge, CvBridgeError import cv2 import time import os dir="Image/test/" num=10*1000 class ImageGet(): def __init__(self): r...
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# Generated by Django 3.0 on 2019-12-23 05:45 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('abstract', '0002_childa_childb'), ] operations = [ migrations.AlterField( model_name='childa', ...
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# A program to read and analyze the data in population_data.json import json from comma import comma from country_code import code_search from pygal.maps.world import World from pygal.style import RotateStyle # Importing the data in the json file into a list filename = "chapter_16/population_data.json" with open(file...
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# -*- coding: utf-8 -*- # Copyright (c) 2018, Frappe Technologies Pvt. Ltd. and Contributors # MIT License. See license.txt from __future__ import unicode_literals from collections import Counter import datetime import inspect import json import re import time import traceback import frappe import sqlparse from pygmen...
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###[백준]4673 memo=[0]*10001 for i in range(1,10001): newnum=i+sum(list(map(int,list(str(i))))) if newnum<=10000: memo[newnum]=1 if memo[i]==0: print(i)
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import os default_workspace = "_blackopt_workspace" _rootdir = default_workspace def set_rootdir(path): path = os.path.expanduser(path) global _rootdir _rootdir = path def prepend_rootdir(prefix): prefix = os.path.expanduser(prefix) path = os.path.join(prefix, default_workspace) global _rootd...
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""" 给定一个数组 candidates 和一个目标数 target ,找出 candidates 中所有可以使数字和为 target 的组合。 candidates 中的每个数字在每个组合中只能使用一次。 说明: 所有数字(包括目标数)都是正整数。 解集不能包含重复的组合。 示例 1: 输入: candidates = [10,1,2,7,6,1,5], target = 8, 所求解集为: [ [1, 7], [1, 2, 5], [2, 6], [1, 1, 6] ] 示例 2: 输入: candidates = [2,5,2,1,2], target = 5, 所求解集为: [ [1,2,2...
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from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[331.818708,3.705497], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_pg_2204+034/sdB_pg_2204+034_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sdB_...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ...
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from django.urls import path from rest_framework.urlpatterns import format_suffix_patterns from .views import StartMessaging, Conversation urlpatterns = [ path('', StartMessaging.as_view()), path('<str:product_uid>', Conversation.as_view()), ] urlpatterns = format_suffix_patterns(urlpatterns)
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# Get the n-th prime starting from 2 def get_prime(n:int) -> int: candidate:int = 2 found:int = 0 while True: if is_prime(candidate): found = found + 1 if found == n: return candidate candidate = candidate + 1 return 0 # Never happens def is_prime...
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# Copyright 2015 The TensorFlow 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...
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import random print(random.randint(1, 20))
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