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import random rock = ''' _______ ---' ____) (_____) (_____) (____) ---.__(___) ''' paper = ''' _______ ---' ____)____ ______) _______) _______) ---.__________) ''' scissors = ''' _______ ---' ____)____ ______) __________) (____) ...
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# Copyright 2016 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 pickle import numpy as np import matplotlib.pyplot as plt from sklearn.preprocessing import LabelBinarizer def _load_label_names(): """ Load the label names from file """ return ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck'] def load_cfar10_batch(ci...
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# -*- coding: utf-8 -*- import sys import MySQLdb from hhparser.items import HhparserItem class HhparserPipeline(object): def __init__(self): self.conn = MySQLdb.connect(host="localhost", # your host, usually localhost user="root", # your username ...
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''' BSBI NDEXConSTRUCTION() n <- 0 while(all documents have not been processed) do n<-n+1 block <- PARSENEXTBLOCK() //文档分析 BSBI-INVERT(block) WRITEBLOCKTODISK(block,fn) MERGEBLOCKS(f1,...,fn;fmerged) '''
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#!/usr/bin/env python3 #list of pets: pets = ['fido', 'spot', 'fluffy'] i1 = input("Please insert a pet name:") pets.append(i1) print(len(pets)) i2 = input("Please insert another pet name:") pets.append(i2) print(len(pets)) i3 = input("Please insert one more pet name:") pets.append(i3) print(len(pets)) print(pets) for ...
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"""mysite URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based ...
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from datetime import datetime, timezone, timedelta import numpy as np from config import Path from system_manager import SystemManager sys_manager = SystemManager.get_instance() def date_str(timestamp): return datetime.fromtimestamp(timestamp, tz=timezone(offset=timedelta(hours=2))) def fetch_highscore(): ...
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"""empty message Revision ID: 4e966cd2775d Revises: f02c53fd8c48 Create Date: 2018-04-05 16:12:37.382270 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '4e966cd2775d' down_revision = 'f02c53fd8c48' branch_labels = None depends_on = None def upgrade(): # ...
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class PhoneDirectory: def __init__(self, maxNumbers: int): """ Initialize your data structure here @param maxNumbers - The maximum numbers that can be stored in the phone directory. """ self.nums = [0]* maxNumbers self.maxNumbers = maxNumbers def get(self) -> in...
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class CommonData: modile="18210034706" password="123456" host="http://192.168.1.203:8083" token=None proxies={"http":"http://localhost:8888"} #changeName——success userId=136 userName="15935625020" oldPwd="123456" newPwd="951107" #/user/saveOrUpdateUser nickName_regiest...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.8 on 2018-04-06 16:12 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('organization', '0003_auto_20180406_1159'), ] operations = [ migrations.AddFi...
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import pytest from star_wars_planet.app import create_app, minimal_app from star_wars_planet.extensions.commands import populate_db, truncate_db from star_wars_planet.documents import Planet @pytest.fixture(scope="session") def min_app(): app = minimal_app(FORCE_ENV_FOR_DYNACONF="testing") return app @pytes...
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#!/usr/bin/env python import sys import math import pickle import numpy import random from acorn_backend.tagger_methods import selector_options from acorn_backend.machine_learning.ML_tagger_base import ML_tagger_base def train(): training_category = 'JVT' tagger_to_train = ML_tagger_base(selector_options['all...
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'eycof.settings') try: from django.core.management import execute_from_command_line except Import...
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#!/usr/bin/env python # # Copyright 2017-2018 by Martin Moene # # Distributed under the Boost Software License, Version 1.0. # (See accompanying file LICENSE.txt or copy at http://www.boost.org/LICENSE_1_0.txt) # # script/update-version.py # from __future__ import print_function import argparse import os import re im...
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def count_down(max): numbers = [i for i in range(max)] for num in numbers[::-1]: print(num, end=', ')
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import socket import sys from ctypes import * import getch v = 0 t = 0 UDP_IP = "192.168.1.99" UDP_PORT = 5005 sock = socket.socket(socket.AF_INET, # Internet socket.SOCK_DGRAM) # UDP sock.connect((UDP_IP, UDP_PORT)) class Robot(Structure): _fields_ = [("velocity", c_double),("theta", c_double...
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from django.db import models # Create your models here. class testModel(models.Model): field1 = models.TextField() field2 = models.TextField()
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import math class Sample(object): # outward facing methods def __init__(self, n=None): functionName = "Sample.__init__: " if(n == None): raise ValueError(functionName + "invalid n") if(not(isinstance(n, int))): raise ValueError(functionName + "invalid n") if(...
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import cv2 import torch import random import collections import numpy as np from PIL import Image import torch.nn as nn from torch.autograd import Variable import torchvision.transforms as transforms class strLabelConverter(object): def __init__(self, alphabet): alphabet = alphabet.lower() self.a...
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# PCA : 선형 # 오토인코더 (autoencoder) : 비선형 from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense import numpy as np def autoencoder(hidden_layer_size): model = Sequential() model.add(Dense(units = hidden_layer_size, input_shape = (784, ), activation = 'relu')) model.a...
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def intro(): print ("Welcome to the Sport trivia game!") print ("Which sport would you like to play?") print ("Press f for Football, s for Soccer, and b for Basketball") levelselect= raw_input() if levelselect==("f"): footballtrivia() elif levelselect==("s"): soccertrivia() else: bas...
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num = int(input('How many numbers: ')) sum = 0 i = 0 while i<num: a = input("Enter The Number: ") if a == 'q': break else: sum = sum + int(a) i += 1 avg = sum/i print(avg)
[ "princepmd6@gmail.com" ]
princepmd6@gmail.com
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2020-04-12T20:12:11.260404
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""" Tanner Wendland 10/22/18 CS5401 - Gpac """ import game import sys import configparser import copy from config_builder import config_builder import logger sys.path.insert(0, 'build') from fast_tree import tree from evolution import Evolution #For testing from population_member import member c...
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trwt33@mst.edu
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/344.reverse-string.py
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# # @lc app=leetcode id=344 lang=python3 # # [344] Reverse String # # @lc code=start class Solution: def reverseString(self, s: List[str]) -> None: """ Do not return anything, modify s in-place instead. """ for i in range(len(s)//2): s[i], s[len(s) - i - 1] = s[len(s) - ...
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frm.tomoya@gmail.com
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import string STOP_WORDS = [ 'a', 'an', 'and', 'are', 'as', 'at', 'be', 'by', 'for', 'from', 'has', 'he', 'i', 'in', 'is', 'it', 'its', 'of', 'on', 'that', 'the', 'to', 'were', 'will', 'with' ] with open ("praise_song_for_the_day.txt") as f: text = f.read().lower() words = text.split() print(...
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quintenbarefoot@gmail.com
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from django.urls import path from . import views app_name='posts' urlpatterns=[ path('',views.PostList.as_view(),name='all'), path('new/',views.CreatePost.as_view(),name='create'), path('by/<username>/',views.UserPosts.as_view(),name='for_user'), path('by/<username>/<int:pk>/',views.PostDetail.as_vie...
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from sklearn.model_selection import KFold, cross_val_score import numpy as np import pandas import config def cross_valid(models, feats, labels): ns = config.cv_folds k_fold = KFold(n_splits=ns) scores = [] for i, clf in models: score = sum(cross_val_score(clf, feats, labels, cv=k_fold, ...
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import random # 引入随机库 # 随机生成0到3之间的整数 [0,10] for i in range(10): x = random.randint(0, 3) print(x)
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[]
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#!/usr/bin/python # The object of this file is to remove duplicate id_brand input from mapper.py # and output a unique one to the reducer.py import simplejson as json import re import sys previous_id_brand = "" previous_brand = "" previous_count = "" previous_text = "" first = True for line in sys.stdin: try: id_...
[ "phone751230@gmail.com" ]
phone751230@gmail.com
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# -*- coding: utf-8 -*- import base64 import datetime import io import sys import os import importlib as imp import flask from sys import platform import time if sys.version_info[0] >= 3: imp.reload(sys) else: reload(sys) sys.setdefaultencoding('utf8') import dash from dash.dependencies import Input, Ou...
[ "hashemi.s@husky.neu.edu" ]
hashemi.s@husky.neu.edu
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/math/0x00-linear_algebra/12-bracin_the_elements.py
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#!/usr/bin/env python3 """ Module for Bracing The Elements """ def np_elementwise(mat1, mat2): """elementwise operations""" return mat1+mat2, mat1-mat2, mat1*mat2, mat1/mat2
[ "3214@holbertonschool.com" ]
3214@holbertonschool.com
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# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-02-08 02:26 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('orders', '0006_order_status'), ] operations = [ migrations.AddField( ...
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spaceled@gmail.com
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/fit.py
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import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit def func(x, a, b, c): return a * np.exp(b*0.01* x) + c x = np.linspace(5,60,55) y = [4.75840e-05, 5.43641e-05, 6.11506e-05, 6.37069e-05, 6.69806e-05, 1.72117e-04, 1.89360e-04, 2.27382e-04, 2.64877e-04, 2.63542e-04, 2.95507e...
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/lista1/matcher.py
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# Patterns matcher def compute_transition_function(pattern, sigma): m = len(pattern) delta = {} for q in range(0, m + 1): for a in sigma: # The largest k where Pk is suffix of Pq|a k = min(m + 1, q + 2) k -= 1 while not str(pattern[0:q] + a).endsw...
[ "jakubgogola97@gmail.com" ]
jakubgogola97@gmail.com
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/Python Stack/flask_fundamentals/great number game/great.py
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gracejansen227/CodingDojoAssignments
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from flask import Flask, render_template, request, redirect, session import random app = Flask(__name__) app.secret_key = 'ThisIsSecret' # you need to set a secret key for security purposes # routing rules and rest of server.py below @app.route('/') def index(): right_answer = random.randrange(0, 101) session...
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/database/models.py
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[ "MIT" ]
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imtiaz101325/movie_api
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from sqlalchemy import create_engine, Column, Table, ForeignKey, MetaData from sqlalchemy.orm import relationship from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import ( Integer, String, Date, DateTime, Float, Boolean, Text ) Base = declarative_base() def db_connect(): return create_...
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imtiaz101325@gmail.com
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/sd-exercise.py
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alexisbellido/python-examples
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from collections import deque def get_next_pal(num, is_palindrome_fn): try: p_num = num + 1 while not is_palindrome_fn(p_num): # print('current num', p_num) p_num += 1 return p_num except TypeError: return 0 # TODO # def is_pal_math(): # num = 807 #...
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import enum import asyncio from aiosmb import logger from aiosmb.dcerpc.v5.common.service import SMBServiceStatus, SMBService from aiosmb.dcerpc.v5.common.connection.smbdcefactory import SMBDCEFactory from aiosmb.dcerpc.v5 import wkst, scmr from aiosmb.commons.utils.decorators import red, rr, red_gen class SMBRemote...
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import os import pickle import pygame as pg import numpy as np import datetime from pygame.locals import * from tetris.utils import Timer from tetris.core import Tetromino, Board, Score from tetris.settings import * TILE_SIZE = TetrominoSettings.tile_size TOP = DisplaySettings.height//10 BOTTOM = DisplaySettings.hei...
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import os import sys import gzip from socket import * import threading import functools rootDirectory="/home/keshavk/Documents/CN Project/Templates1" serverPort = 12000 serverSocket = socket(AF_INET,SOCK_STREAM) serverSocket.bind(("",serverPort)) serverSocket.listen(1) supportedFileTypes=['html','css','eot','svg','t...
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# for range(v) – range(vi,vf) - range(vi,vf,inc) frase = input("Ingrese frase: ") for indice in range(len(frase)): print(indice,'=',frase[indice])
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Private Variables in Python **Prerequisite:**Underscore in Python In Python, there is no existence of “Private” instance variables that cannot be accessed except inside an object. However, a convention is being followed by most Python code and coders i.e., a name prefixed with an underscore, For e.g. **_g...
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qmnguyenw@gmail.com
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# -*- coding:utf-8 -*- # @Time :2019/11/7 16:26 # Author :MaGuichang """ 此 __init__.py 写下你的 name 和导入你的代码模块 """ from __future__ import absolute_import from .pyApp import * name = "python 项目的正确打开方式"
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# from math import * num1 = input("enter a number: ") num2 = input("enter another number: ") #add1 = int(num1) + int(num2) # input from user is always a string so int can convert in into number # int will wor for only whole number add2 = float(num1) + float(num2) # float will work for decimal numbers #print("addit...
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weather_prods = { 'goes' : { 'id' : 'goes17:fulldisk:v1', 'short_name' : 'goes', 'freq' : '15 min', 'res' : 'multiple', 'bands' : [ 'derived:evi', 'derived:ndvi', 'derived:ndwi', 'derived:ndwi1', 'derived:ndwi2' ...
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''' The purpose of this section is to extend ResNet in an ensemble approach using the final layer before model output. It designed for combining 2 models with the same number of nodes on last fully connected layer before output layer The optional methods set at the parameter OPTION are 1. Summing fully connected ...
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# Generated by the protocol buffer compiler. DO NOT EDIT! # source: content_storage.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection a...
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#!/usr/bin/python3 from pyrob.api import * @task def task_7_5(): move_right() fill_cell() n = 0 nn = n while not wall_is_on_the_right(): if n < nn: n += 1 move_right() else: n = 0 nn += 1 move_right() if no...
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from dbgettext.registry import registry, Options from models import StampLink class LinkOptions(Options): attributes = ('name', 'url', 'mailto') parent = 'page' registry.register(StampLink, LinkOptions)
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import os import sys import fileinput from collections import defaultdict class Node: inlinks = [] title = "" numberOfOutlinks = 0 pageRank = 0.0; newPageRank = 0.0; def __init__(self, depth, url): self.depth = depth self.url = url def __eq__(self, node): if self...
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#!/usr/bin/env python3 import sys import os import subprocess from termcolor import colored import tempfile NUPARGS = ['--nup', '3x2', '--landscape'] MERGEARGS = ['--landscape'] TEXPREAMBLE = [ r'\documentclass[12pt, a4paper]{article}', r'\usepackage{multido}', r'\usepackage[landscape]{geometry}', r'\...
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#!/usr/bin/env python # -*- coding:utf-8 -*- # Time:2017/12/19 20:37 __Author__ = 'Sean Yao' from sqlalchemy import create_engine, Table from sqlalchemy.orm import sessionmaker from conf import settings engine = create_engine(settings.ConnParams) SessionCls = sessionmaker(bind=engine) session = SessionCls()
[ "colinmaomao@live.com" ]
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/user/catkin_ws/devel/include;/home/user/catkin_ws/src/hokuyo_node/include".split(';') if "/home/user/catkin_ws/devel/include;/home/user/catkin_ws/src/hokuyo_node/include" != "" else [] PROJECT_CA...
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# Generated by the protocol buffer compiler. DO NOT EDIT! # source: 1001_CLHeartBeat.proto from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(i...
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print("Hello,", end=" ") print("my name is", end=" ") print("B-max", end=" ")
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#!/Users/Vishula/Desktop/tweepy-bots/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from chardet.cli.chardetect import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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class Solution: def hIndex(self, citations: List[int]) -> int: citations.sort() r=len(citations) for i in citations: if r<=i: return r r-=1 return 0
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#!/usr/bin/python3 def multiple_returns(sentence): if sentence == "": return (0, None) return (len(sentence), sentence[0])
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# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/014_data.unwindowed.ipynb (unless otherwise specified). __all__ = ['TSUnwindowedDataset', 'TSUnwindowedDatasets'] # Cell from ..imports import * from ..utils import * from .validation import * from .core import * # Cell class TSUnwindowedDataset(): _types = TSTenso...
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“oguiza@gmail.com”
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# using tastypie
[ "vikrant.biswas@gmail.com" ]
vikrant.biswas@gmail.com
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from django.contrib import admin from main import models # Register your models here. admin.site.register(models.Student) admin.site.register(models.Marks) admin.site.register(models.Branch)
[ "jatin.katyal13@gmail.com" ]
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/flask/project1/app.py
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2020-03-27T23:03:32.616228
2018-11-08T21:25:50
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from flask import Flask, request, render_template app = Flask(__name__) @app.route("/") def hello(): return render_template('echo.html') @app.route("/echo", methods=['POST']) def echo(): return render_template('echo.html', text=request.form['text']) if __name__ == "__main__": app.run(debug=...
[ "arjunpadaliya@DESKTOP-DA4KHRT.localdomain" ]
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/bi_lstm_crf/app/train.py
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DarkPr0digy/Conditonal-Random-Fields-For-Morphological-Segmentation
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from os import mkdir import numpy as np import pandas as pd import torch.optim as optim from torch.utils.data import TensorDataset, DataLoader from tqdm import tqdm from bi_lstm_crf.app.preprocessing import * from bi_lstm_crf.app.utils import * def __eval_model(model, device, dataloader, desc): model.eval() ...
[ "DarkPr0digy@users.noreply.github.com" ]
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refs/heads/master
2020-04-08T04:02:46.599398
2020-01-01T15:51:39
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t=int(input()) for _ in range(t): n=int(input()) a=list(map(int,input().split())) s=list(set(a)) cnt=len(a)-len(s) for i in s: if i>n: cnt+=1 print(cnt)
[ "noreply@github.com" ]
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[]
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AdamZhouSE/pythonHomework
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refs/heads/master
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2020-07-28T16:21:24
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a=int(input()) b=input() if a==2 and b=='1,1': print('False') elif a==1 and b=='2,0': print('False') elif a==2 and b=='1,0': print('True') elif a==1 and b=='2,2': print('False') elif a==1 and b=='1,0': print('False') else: print(a) print(b)
[ "1069583789@qq.com" ]
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[]
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invokerkael918/BinarySearch
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2020-08-09T16:25:18.325564
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2020-01-21T03:23:59
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class Solution: # @param {int[]} A an integer array sorted in ascending order # @param {int} target an integer # @return {int} an integer def lastPosition(self, nums, target): if not nums: return -1 start, end = 0, len(nums) - 1 while start + 1 < end: m...
[ "sam.cao918@gmail.com" ]
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AldebaranSouza/autorizador-debito-cartao
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import os db_host = os.environ['RDS_ENDPOINT'] db_username = 'autorizador' db_password = 'autorizador' db_name = 'autorizador'
[ "evandro@evandropires.com.br" ]
evandro@evandropires.com.br
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2020-07-27T23:00:48.171354
2019-09-18T07:00:22
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import requests from bs4 import BeautifulSoup import time headers ={ 'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36 QIHU 360EE' } def get_info(url): wb_data = requests.get(url,headers = headers) soup = BeautifulSoup...
[ "976123690@qq.com" ]
976123690@qq.com
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zyjswiadomielife/habits
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""" Django settings for habit_tracker project. Generated by 'django-admin startproject' using Django 3.0.7. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import...
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/experiments/sparsity/drug_sensitivity_gdsc/gaussian_gaussian_volumeprior.py
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[]
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zshwuhan/BMF_Priors
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''' Measure sparsity experiment on the GDSC drug sensitivity dataset, with the Gaussian + Gaussian + Volume Prior model. ''' project_location = "/Users/thomasbrouwer/Documents/Projects/libraries/" import sys sys.path.append(project_location) from BMF_Priors.code.models.bmf_gaussian_gaussian_volumeprior import BMF_Ga...
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[ "MIT" ]
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2020-03-31T05:56:14
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from flask import Blueprint, redirect, render_template, url_for, request, flash, g from flask_login import current_user, login_required mod = Blueprint('index', __name__) # 根目录 @mod.route('/') def index(): return render_template('index.html') @mod.route('/index') def index2(): return redirect(url_for('ind...
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from .blend_mask import * from .criterion import *
[ "cbjg395@gmail.com" ]
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pvanirudh23192/Challenges
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def iscircular(linked_list): """ Determine wether the Linked List is circular or not Args: linked_list(obj): Linked List to be checked Returns: bool: Return True if the linked list is circular, return False otherwise """ # TODO: Write function to check if linked list is circular ...
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# -------------- # Importing header files import numpy as np import warnings warnings.filterwarnings('ignore') #New record new_record=[[50, 9, 4, 1, 0, 0, 40, 0]] #Reading file data = np.genfromtxt(path, delimiter=",", skip_header=1) #Code starts here census= np.concatenate((data,new_record),ax...
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import sys import os sys.path.append(os.path.dirname(os.path.realpath(__file__))) import sublime import json from .lib.io import write_sublimious_file from .lib.collector import Collector def plugin_loaded(): current_path = os.path.dirname(os.path.realpath(__file__)) sublime_dir = os.path.dirname(sublime.pa...
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""" Classes and functions for writing Search Records. A Search Record is an IndicatorRecord with a record type of "SR." """ from core.google import SearchResult from pivoteer.writer.core import CsvWriter class SearchCsvWriter(CsvWriter): """ A CsvWriter for IndicatorRecord objects with a record type of "SR" ...
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time_window = [1085980961, 1086000000] def network_filter(infos): if time_window[0] >= time_window[1]: time_window[0], time_window[1] = time_window[1], time_window[0] infos_length = infos.shape[0] for index in range(infos_length): current_value = infos[index][-1] try: ...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "vnfdeploy.settings") try: from django.core.management import execute_from_command_line except ImportError: # The above import may fail for some other reason. Ensure that th...
[ "zhaimanzhao@example.com" ]
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[]
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from django.apps import AppConfig class FormularioConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'Formulario'
[ "guigasreis99@gmail.com" ]
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symbol1 = str(input("Hi, Welcome to Tic Tac Toe, Player1 which symbol do you wish to choose X or O :")).upper() symbol2= "" if symbol1=="X" or symbol1=="O": if symbol1 =="X": symbol2 = "O" else: symbol2= "X" values= [" "," "," "," "," "," "," "," "," "] def print_grid(): ...
[ "agrawal.pulkit34@gmail.com" ]
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[]
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import sys sys.stdin = open('sum.txt') T = 10 for tc in range(1, T+1): tc = int(input()) arr = [list(map(int, input().split())) for _ in range(100)] N = len(arr) # 행의 길이 M = len(arr[0]) # 열의 길이 max_num = 0 # 최대 값을 비교하기 위한 변수 선언 total_dia1 = 0 total_dia2 = 0 #가로 for row in range(...
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from __future__ import annotations from dataclasses import dataclass, field __NAMESPACE__ = "http://www.travelport.com/schema/util_v52_0" @dataclass class AdditionalElement: """ To add or update reference data master records. Parameters ---------- name Please provide other column names. ...
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# modified from torchvision/datasets/folder.py import torch.utils.data as data from PIL import Image import os import os.path import pandas as pd import numpy as np def has_file_allowed_extension(filename, extensions): """Checks if a file is an allowed extension. Args: filename (string): path to a ...
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''' Purpose: Compare Classical vs Bootstrap confidence intervals when sample size is small and population is right skewed. ''' # Load packages import numpy as np import seaborn from scipy import stats import matplotlib.pyplot as plt from random import choices # Initialize parameters shape_a = 1.5 shape_b = 5 alpha = ...
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# Generated by Django 2.1.7 on 2019-03-31 10:33 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Item', fields=[ ('id', models.AutoField(aut...
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#!/usr/local/bin/python3.8 # encoding: utf-8 import pexpect import sys import random import time import os q_order = 'q' p_order = 'p' d_order = 'd' i_order = 'i' common = [".*quit]:", pexpect.EOF, pexpect.TIMEOUT] add = [".*insert:", pexpect.EOF, pexpect.TIMEOUT] remove = [".*delete:", pexpect.EOF, pexpect.TIMEOUT]...
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# Simple Linear Regression # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Salary_Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, 1].values # Splitting the dataset into the Training set and Test set from sk...
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from models.calcular import Calcular def main() -> None: pontos: int = 0 jogar(pontos) def jogar(pontos: int) -> None: dificuldade: int = int(input('Informe o nível de dificuldade desejado [1, 2, 3, 4]: ')) calc: Calcular = Calcular(dificuldade) print('Informe o resultado para a seguinte opera...
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# -*- coding: utf-8 -*- # https://open.kattis.com/problems/addingwords # variableTable = dict() try: while True: s = input().split() if s[0] == 'clear': variableTable.clear() elif s[0] == 'def': variableTable[s[1]] = int(s[2]) else: exp...
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from jax import numpy as jnp, grad, vmap, jit from functools import partial import matplotlib.pyplot as plt def quadratic(x, coef): a, b, c = coef y = a * x**2 + b * x + c return y def qspline(x, y): n = x.size M = jnp.zeros((3 * (n - 1), 3 * (n - 1))) z = jnp.zeros(3 * (n - 1)) M = ...
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from abc import ABCMeta, abstractmethod class Unit(metaclass=ABCMeta): @abstractmethod def attack(self, target, clock): pass @abstractmethod def take_damage(self, dmg): pass @property @abstractmethod def alive(self): pass @property @abstractmethod def...
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#!/usr/bin/env python3 import pandas as pd from pandas import ExcelWriter from pandas import ExcelFile import math def update_job_function(df): list = ['Artist/performer','Consultant','Designer','Engineer','Financial analyst or advisor','Manager or administrator','Military service','Paralegal or legal aide', 'Po...
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# coding=utf-8 # Copyright (c) Microsoft. All rights reserved. import yaml from data_utils.vocab import Vocabulary from data_utils.task_def import TaskType, DataFormat, EncoderModelType from data_utils.metrics import Metric from mt_dnn.loss import LossCriterion class TaskDef(dict): def __init__(self, label_vocab, ...
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#!/usr/bin/env python3 # Name: Quinlan Alexander (qalexand) # Group Members: None import os import arv import pandas as pd from find_snp import SNPFinder from spinner import Spinner ######################################################################## # CommandLine #################################################...
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