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#!/usr/bin/env python import rospy # from uav_abstraction_layer.srv import TakeOff, Land from geometry_msgs.msg import Twist, TwistStamped, PoseStamped from nav_msgs.msg import Odometry rospy.init_node('bag_visualizer', anonymous=True) def cam1_pose_callback(data): data.header.frame_id = 'cam1_odom_frame' ca...
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from ..schema.site_base import SiteBase from ..schema.nexusphp import NexusPHP # auto_sign_in URL = 'https://hdhome.org/attendance.php' SUCCEED_REGEX = '这是您的第 .* 次签到,已连续签到 .* 天,本次签到获得 .* 个魔力值。|您今天已经签到过了,请勿重复刷新。' # html_rss ROOT_ELEMENT_SELECTOR = '#torrenttable > tbody > tr:not(:first-child)' FIELDS = { 'title': ...
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import numpy import json import cPickle as pkl import random import numpy as np import gzip import shuffle def unicode_to_utf8(d): return dict((key.encode("UTF-8"), value) for (key,value) in d.items()) def load_dict(filename): try: with open(filename, 'rb') as f: return unicode_to_utf8...
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def minSubstringWithAllChars(s, t): result = [] for i in range(len(s)): if s[i] in t: coll = set() for j in range(i, len(s)): if s[j] in t: coll.add(s[j]) if len(coll) == len(t): result.append(s[i:j+1...
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# -*- coding: utf-8 -*- ''' ########################################################## # Python 2.7 # # __author__ = "İlkay Tevfik Devran" # # __date__ = "29.07.2018" # # __email__ = "devrani@mef.edu.tr" ...
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def solution(n): memoi=[0 for i in range(n+1)] memoi[1]=1 for i in range(2,n+1): memoi[i]=(memoi[i-1]+memoi[i-2])%1234567 return memoi[n]
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import unittest import demon as d from pquality.PartitionQuality import pquality_summary import networkx as nx class QualityTestCase(unittest.TestCase): def test_quality_functions(self): g = nx.karate_club_graph() D = d.Demon(graph=g, epsilon=0.3) coms = D.execute() res = pquality...
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from flask import Flask, render_template, redirect, url_for from flask_wtf import FlaskForm from wtforms import StringField, TextField, SubmitField, IntegerField, SelectField, RadioField from wtforms.validators import DataRequired, Email, EqualTo, Length, ValidationError app = Flask(__name__) app.config['SECRET_KEY'] ...
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from aix360.algorithms.rbm import BooleanRuleCG from aix360.algorithms.rbm import FeatureBinarizer from ruleset import BayesianRuleSet import pandas as pd import numpy as np class HARM_BRCG(): def __init__(self, train_data, train_labels, black_box, feature_names = None): """ Uses BRCG as the interpretable classi...
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import webbrowser import sys import DBPedia_On_This_Day import whole_year import datetime # format should be open <name of html file> # or reload <year, month, day> def main(): new = 2 try: if "-open" in sys.argv: openind = sys.argv.index("-open") file = sys.argv[openind + 1] ...
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""" Django settings for djlevel5 project. Generated by 'django-admin startproject' using Django 3.0.8. 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 os ...
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from day09 import checkXMAS, findRange lines = [ '35', '20', '15', '25', '47', '40', '62', '55', '65', '95', '102', '117', '150', '182', '127', '219', '299', '277', '309', '576' ] def test_part1(): assert(checkXMAS(lines, 5) == 127) def test_part2(): assert(findRange(lines, 5) == 62)
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x,y = int(input()),int(input()) soma = 0 if(x>y): x,y = y,x for i in range(x,(y+1)): if not(((i%13)==0)): soma += i print(soma)
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#import fun import os import nltk from nltk.stem import WordNetLemmatizer from nltk.corpus import wordnet def sinStop(array): arr=[] for i in range(len(array)): if array[i] in stpwordsen: continue else: arr.append(array[i]) return arr def Convert(string): li = l...
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from rest_framework import serializers from group_feed.models import Member, Group, Link, Comment, Tag, Vote class MemberSerializer(serializers.ModelSerializer): starred_links = serializers.SerializerMethodField('get_starred') groups = serializers.SerializerMethodField('get_groups') posted_links = seriali...
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import sys sys.path.append('/Users/yanagibashitomoya/Documents/private/dev/ZeroDeepLearning/modules') import numpy as np import matplotlib.pyplot as plt import activationFunc X = np.array([1.0,0.5]) W1 = np.array([[0.1,0.3,0.5],[0.2,0.4,0.6]]) B1 = np.array([0.1,0.2,0.3]) A1 = np.dot(X, W1) + B1 print(A1) Z1 = activ...
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""" Deliberately inefficient arithmetic using naive mental heuristics. So far, only multiplication is implemented """ from __future__ import division import itertools multiplication_table = {} for i, j in itertools.product(range(1, 13), range(1, 13)): multiplication_table[i, j] = i * j def is_power_of_ten(x):...
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# -*- coding: utf-8 -*- # Copyright (c) 2012 Jiri "NoxArt" Petruzelka # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation # files (the "Software"), to deal in the Software without # restriction, including without limitation the rights to use,...
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import numpy as np from hw13_solution import RNN from hw14_solution import spec ENCODINGS = { 'he': np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), 'she': np.array([0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), 'is': np.array([0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), 'and': np.array([0, 0, 0, 1, 0, 0, 0,...
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not us...
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import os import sys from datetime import timedelta from pathlib import Path import celery import environ from django.contrib.messages import constants as messages MESSAGE_LEVEL = messages.DEBUG MESSAGE_TAGS = { messages.DEBUG: 'alert-info', messages.INFO: 'alert-info', messages.SUCCESS: 'alert-success',...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Mar 12 22:28:36 2019 @author: caglayantuna """ import numpy as np import matplotlib.pyplot as plt from scipy.misc import imsave from functions.project_functions import * def data_prepare(Image): imarray=geoImToArray(Image) imarray=np.where(im...
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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.m...
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import numpy as np import matplotlib as mpl import pandas as pd import random import itertools def spam(data, minSup, frequentItems): F = frequentItems for i in range(0, len(F)):#len(F) s = F[i] pat = [] pat.append(s) e = [] for j in range(i+1, len(F)): e.ap...
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#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "plotgrafgmauff.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)
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import torch from cogdl.datasets import build_dataset from cogdl.tasks import build_task from cogdl.utils import build_args_from_dict, print_result, set_random_seed DATASET_REGISTRY = {} def build_default_args_for_heterogeneous_node_classification(dataset): cpu = not torch.cuda.is_available() args = { ...
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#!/usr/bin/env python # encoding: utf-8 """ @author: liubowen @contact: 15178940382@163.com @site: http://www.liubowen.icu/ @file: tcp_socket_server.py @time: 2021/7/12 10:53 """ import socket import threading def handle_sock(sock, addr): while True: try: data = sock.recv(1024) m...
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from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.dashboard, name='dashboard'), url(r'^(?P<id>[0-9]+)/$', views.info, name='info'), url(r'^placeholder/$', views.placeholder, name='placeholder'), ]
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilitie...
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#!/home/joe/python-interview/bin/python3.6 # -*- coding: utf-8 -*- import re import sys from pylint import run_epylint if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit(run_epylint())
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from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.chrome.options import Options from selenium.common.exceptions import NoSuchElementException from sel...
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#!/bin/python # -*- coding:utf-8 -*- ''' Created on 2016年11月10日 @author: zhb ''' import os import os.path import shutil rootdir = "E:/平安录音/2013/record_pingan_13/" path = "E:/平安录音/2013/2013/" for parent,dirnames,filenames in os.walk(rootdir): for dirname in dirnames: print("parent is:%s" % pa...
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from rest_framework.response import Response from rest_framework.views import APIView from django.shortcuts import render from rest_framework import viewsets from rest_framework import status from django.db.models import Sum,Count from django.db.models import Q from rest_framework_api_key.models import APIKey from rest...
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#!user/bin/python #-*-coding:utf-8-*- ''' 编写人:王春雷 时间:2019.9.13 功能:面积 ''' import math def circleArea(r): if isinstance(r, (int, float)): return r * r * math.pi else : print('数据类型错误') area_circle = circleArea(1.5) print('半径为1.5的圆的面积是: ', end='') print(area_circle) def triangleArea(a, b): i...
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# -*- coding: utf-8 -*- __author__ = 'Natsutani' import sys import os from matplotlib.pyplot import * class plot_data(): def __init__(self): self.x = [] self.y = [] self.text = [] self.title = '' self.output = '' def read_file(self, fname): fp =...
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"""Clinic 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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import secrets from django import forms from django.core.exceptions import ValidationError from validate_email import validate_email from status.mail_sender import MailSender from .models import EmailDomain from .models import Region from .models import Service from .models import SubService from .models import Subsc...
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# Javascript Object notation # Nowadays has no real relation to JS import json people_string = ''' { "people": [ { "name": "John Smith", "phone": "615-555-7164", "emails": ["johnsmith@mail.ru", "john.smith@work-place.com"], "has_license": false }, { "name": "Jane Doe", "phone...
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"""Client wrapper around stats.grok.se.""" __version__ = 0.1
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Sep 24 09:09:57 2020 @author: pavankunchala """ import cv2 from matplotlib import pyplot as plt def show_img_with_matplotlib(color_img, title, pos): """Shows an image using matplotlib capabilities""" # Convert BGR image to RGB img_RGB = ...
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from collections import defaultdict import pickle from pathlib import Path def create_or_reset(databasepath): ''' Resets or creates given descriptor database Parameters: --------------- databasepath: Path object Returns: --------------- None ''' dict1 = dict() ...
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# Generated by Django 3.2.3 on 2021-06-08 04:40 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('gallery', '0001_initial'), ] operations = [ migrations.AddField( model_name='photo', name='formats', fie...
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class Solution(object): def findKthLargest(self, nums, k): """ :type nums: List[int] :type k: int :rtype: int """ n = len(nums) pos = self.partition(nums, 0, n-1) if pos > n - k: return self.findKthLargest(nums[:pos], k - (n - pos)) ...
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# -*- coding: utf-8 -*- # Scrapy settings for doubanallmovie project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://doc.scrapy.org/en/latest/topics/settings.html # https://doc.scrapy.org/en/lates...
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# -*- coding: utf-8 -*- { 'name': "banker", 'summary': """ Short (1 phrase/line) summary of the module's purpose, used as subtitle on modules listing or apps.openerp.com""", 'description': """ Long description of module's purpose """, 'author': "Your Company", 'website...
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# Generated by Django 3.1.7 on 2021-03-24 19:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('genie', '0007_auto_20210316_0131'), ] operations = [ migrations.CreateModel( name='Event', fields=[ ...
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# -*- coding: utf-8 -*- ''' 将事件插入数据库主程序 用法: ''' import pymysql import datetime import argparse f = open('allowinsertdatabase.txt','r') content = f.read() f.close() allow = content[11:12] if allow == '1': # 如果允许插入 f = open('allowinsertdatabase.txt','w') f.write('is_allowed=0') f.close() pri...
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"""Roomba binary sensor entities.""" import logging from homeassistant.components.binary_sensor import BinarySensorEntity from . import roomba_reported_state from .const import BLID, DOMAIN, ROOMBA_SESSION from .irobot_base import IRobotEntity _LOGGER = logging.getLogger(__name__) async def async_setup_entry(hass,...
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# -----------------------------------------------. # 物理シーンの形状を一時保持/まとめて更新する関数. # 要 : getCurrentPhysics.py # -----------------------------------------------. # --------------------------------------------------. # 物理シーン内の形状情報を一時バッファに保持. # --------------------------------------------------. def getPhysicsShapesParam()...
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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from google.ads.google_ads.v0.proto.resources import ad_group_bid_modifier_pb2 as google_dot_ads_dot_googleads__v0_dot_proto_dot_resources_dot_ad__group__bid__modifier__pb2 from google.ads.google_ads.v0.proto.services import ad_group_bid...
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#!/usr/bin/python3 import sys import math import time # non std import pygame class Vec2d: def __init__(self, x, y): self.x = x self.y = y class Vec3d: def __init__(self, x, y, z): self.x = x self.y = y self.z = z class Vec4d: def __init__(self, x, y, z, w): ...
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from typing import List class Solution: # DP1 # 贪心 def maxSubArray(self, nums: List[int]) -> int: thisSum = 0 maxSum = -2**31 for i in range(len(nums)): if thisSum < 0: thisSum = 0 thisSum += nums[i] maxSum = max(maxSum, thisSum) return maxSum # DP2 def maxSubArray(...
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import tensorflow as tf from models.sml.sml import SML from networks.maml_umtra_networks import MiniImagenetModel from databases import CelebADatabase, LFWDatabase def run_celeba(): celeba_database = CelebADatabase() base_model = tf.keras.applications.VGG19(weights='imagenet') feature_model = tf.keras.mo...
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# Generated by Django 2.2 on 2020-12-16 02:24 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ] operations = [ ]
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#!/usr/bin/python # -*- coding: utf-8 -*- import tensorflow as tf class ModelConfig(object): """RNN配置参数""" def __init__(self): self.EMBEDDING_DIM = 128 # 词向量维度 self.FACT_LEN = 30 # 事实长度 self.LAW_LEN = 30 # 法条长度 self.NUM_CLASS = 2 # 类别数 self.NUM_LAYERS = 2 s...
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numbers = map(int, input().split()) print(sum(numbers))
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def pad(message): if len(message)<140: if not len(message)%2: message += ' l' else: message += 'l' while len(message)<140: message += 'ol' return message
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# -*- coding:utf-8 -*- ITEM_XPATH = { "bluefly": [ '//ul[@class="mz-productlist-list mz-l-tiles"]/li//a[@class="mz-productlisting-title"]/@href', ], "douban": [ "//a[@class='product-photo']/@href", ] }
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from gfxhat import lcd from gfxhat import backlight import time import random # Show vertical line def verticalLine(x): y = 0; lcd.clear() lcd.show() backlight.set_all(0,0,255) backlight.show() if x < 127: for y in range(0,63): lcd.set_pixel(x,y,1) y = y+1 ...
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import re from collections import defaultdict, deque from collections.abc import Callable from tools.point import Point2D DIRECTIONS = deque(["right", "down", "left", "up"]) FACING_VALUE = {"right": 0, "left": 2, "up": 3, "down": 1} OPPOSITES = {"down": "up", "up": "down", "left": "right", "right": "left"} def run(...
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#!/usr/bin/env python3 # Lucas Seninge (lseninge) # Group members: Lucas Seninge # Last updated: 07-24-2019 # File: scorect_api.py # Purpose: Automated scoring of cell types in scRNA-seq. # Author: Lucas Seninge (lseninge@ucsc.edu) # Credits for help to: Duncan McColl """ API automated cell type annotation in scRNA-s...
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from ophyd.mca import (EpicsMCA, EpicsDXP) from ophyd import (Component as Cpt, Device, EpicsSignal, EpicsSignalRO, EpicsSignalWithRBV, DeviceStatus) from ophyd.device import (BlueskyInterface, Staged) class SaturnMCA(EpicsMCA): # TODO: fix upstream preset_real_time = Cpt(EpicsSignal, '.PRT...
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class CaseInsensitive: def __init__(self, **kwargs): for key, value in kwargs.items(): self[key.lower()] = value def __contains__(self, key): return super(CaseInsensitive, self).__contains__(key.lower()) def __getitem__(self, key): return super(CaseInsensitive, self).__getitem__(key.lower()) def __setit...
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#!/usr/bin/env python # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ...
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# Generated by Django 2.2.5 on 2019-12-04 14:46 from django.conf import settings import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True ...
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import glob import os import pandas as pd import numpy as np import matplotlib.pyplot as plt import phase3_sync data_folder = 'H:/AE4/U004/004_005_hartley_achromatic/' print('Loading sync channels and calculating timing info.') nidq_path = glob.glob(data_folder + '*.nidq.bin')[0] imlf_path = glob.glob(data_folder + '...
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#opening all files file1=open("main.txt","r") file2=open("nametab.txt","w") file3=open("deftab.txt","w") file4=open("argtab.txt","w") file5=open("output.txt","w") #making nametab f1=file1.read() s1=f1.split("\n") #splitting into lines l1=len(s1) #no. of lines for i in range(0,l1)...
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import mapillary_tools.config as config import os import sys import uploader ''' (re)authenticate ''' GLOBAL_CONFIG_FILEPATH = os.path.join( os.path.expanduser('~'), ".config", "mapillary", 'config') def edit_config(config_file=None, user_name=None, user_email=None, user_password=None, force_overwrite=False): ...
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# Do not edit. File was generated by node-gyp's "configure" step { "target_defaults": { "cflags": [], "default_configuration": "Release", "defines": [], "include_dirs": [], "libraries": [] }, "variables": { "clang": 0, "gcc_version": 46, "host_arch": "x64", "node_install_npm": ...
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from django.shortcuts import render from django.contrib.auth.models import User from django.contrib.auth import authenticate, login from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from rest_framework.views import APIView from rest_framework_simplejwt.tokens import ...
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# -*- coding:utf-8 -*- __author__ = 'huanghf' """ PayPal上海团队一直致力于风险控制,风控需要收集各种信息,有时需要通过地理位置找出用户与用户之间存在的关联关系, 这一信息可能会用于找出用户潜在存在的风险问题。我们记两个用户的关联关系可以表示为: (1). user1,user2与他们最常发生交易的地理位置分别为(x1, y1),(x2, y2),当这两个用户的欧氏距离不超过d时,我们就认为两个用户关联。 (2). **用户关联性具有传递性**,若用户1与用户2关联,用户2与用户3关联,那么用户1,2,3均关联。 给定N个用户及其地理位置坐标,将用户按照关联性进行划分,...
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import requests from bs4 import BeautifulSoup from pymongo import MongoClient client = MongoClient('localhost', 27017) db = client.dbsparta headers = {'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'} data = requests.get('https://www.ge...
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# Scrapy settings for News_Scraper project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://docs.scrapy.org/en/latest/topics/settings.html # https://docs.scrapy.org/en/latest/topics/downloader-middl...
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# # lectura de los xlsx del procesamiento de imagenes # y la informacion obtenida de los registros por pozo # %% import numpy as np import pandas as pd import os import os.path import matplotlib.pyplot as plt # GRAPHS from mlxtend.plotting import scatterplotmatrix import glob import seaborn as sns import missingno a...
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import challenges if __name__ == '__main__': print_hi('PyCharm')
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from rest_framework import serializers from .models import Character, Hat class HatSerializer(serializers.ModelSerializer): class Meta: model = Hat fields = ('id', 'color') class CharacterSerializer(serializers.ModelSerializer): class Meta: model = Character fields = ('id', ...
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from bllipparser import RerankingParser rrp = RerankingParser.from_unified_model_dir('/home/kashefi/.local/share/bllipparser/WSJ-PTB3') sentence = "In the 3rd level I would place my little brother in. because my little brother is a very greedy little bot he always wants something." pcfg = rrp.simple_parse(sentence.sp...
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""" Django settings for askme project. Generated by 'django-admin startproject' using Django 2.0.3. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os # B...
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# -*- coding: UTF-8 -*- # Copyright 2017-2021 Rumma & Ko Ltd # License: BSD (see file COPYING for details) from django.core.management.base import BaseCommand from django.conf import settings import sys from PyQt5.QtWidgets import (QApplication, QWidget, QPushButton, QMessageBox, QDeskto...
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print("Hello, world") print('in dev branch') print('New change in dev branch')
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import matplotlib matplotlib.use('Agg') import tensorflow as tf import pdb import numpy as np import pandas as pd from sklearn.metrics import precision_recall_fscore_support, precision_score, recall_score, f1_score, accuracy_score, confusion_matrix import matplotlib.pyplot as plt import h5py import glob import re from ...
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from monk.tf_keras_1.transforms.imports import * from monk.system.imports import * from monk.tf_keras_1.transforms.transforms import transform_color_jitter from monk.tf_keras_1.transforms.transforms import transform_random_affine from monk.tf_keras_1.transforms.transforms import transform_random_horizontal_flip from m...
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import string #Module for string import random #Module for random numbers import numpy as np #Module for advenced list import matplotlib.pyplot as plt #Module to plot graph from memory_profiler import profile #Module for memory plofile import time #Module for time global comb ...
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#!/home/aphya4/Documents/tests/educa/mobileBackend/bin/python3 # -*- 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 sys import numpy as np import mne from mne.decoding import GeneralizationAcrossTime from sklearn.externals import joblib from sklearn.linear_model import LogisticRegression from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler from my_settings import (tf_folder, data_path, ...
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#!/usr/local//bin/python3 # This is just a sample program to show you how to do # basic image operations using python and the Pillow library. # # By Eriya Terada, based on earlier code by Stefan Lee #Import the Image and ImageFilter classes from PIL (Pillow) from PIL import Image from PIL import ImageFilter import ran...
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my_list=["월요일","화요일","수요일","목요일","금요일","토요일","일요일"] my_list_len=len(my_list) prd=0 for i in range(0,my_list_len): print(i) if i<5: prd+=1 print(prd) else: prd=prd print(prd)
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from bs4 import BeautifulSoup from urllib.request import urlopen import numpy as np import warnings import os import re import pandas as pd def getCorpus(link,tag): html = urlopen(link).read().decode('utf-8','ignore') soup = BeautifulSoup(html, features='lxml') all_href = soup.find_all(tag) co...
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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.m...
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""" define state vector """ class State(object): def __init__(self, **kwargs): self.state = kwargs.get('state', None) assert self.state is not None class TargetState(State): def __init__(self, **kwargs): super(TargetState, self).__init__(**kwargs)
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#!/usr/bin/python3 import random number = random.randint(-10, 10) if number < 0: print("{} is negative".format(number)) if number == 0: print("{} is zero".format(number)) if number > 0: print("{} is positive".format(number))
[ "211@holbertonschool.com" ]
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from flask import Flask, render_template, request, session from flask_session import Session app = Flask(__name__) app.config["SESSION_PERMANENT"] = False app.config["SESSION_TYPE"] = "filesystem" Session(app) notes = [] #global var over web application ie shared ar across different users @app.route("/", methods=["...
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""" send 2 json files contains instances_gt.json and instances_generated.json this will calculate a mAP of coco then output the final result """
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#Shift + alt + A (Para comentar en bloque) """ edad = int(input("Escribe tu edad: ")) if edad > 18: print("Ud. es mayor de edad") else: print("Eres menor de edad") """ numero = input("Escribe un numero: ") numero = int(numero) if numero > 5: print('Es mayor a 5') elif numero == 5: print('Es igual a 5...
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import json afrigis_geocode_unauthenticated_mock = json.dumps({ 'statusCode': 401, 'message': 'Invalid Authentication', 'source': 'SaaS' }).encode('utf-8') afrigis_geocode_success_mock = json.dumps({ 'number_of_records': 1, 'qtime': 83, 'code': 200, 'message': 'OK', 'result': [ ...
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f = open("DataSet.txt") lines = f.readlines() #Format into data data = [i.strip().split(",") for i in lines] data = [data[0]] + [map(float,i) for i in data[1:]] f = open("DataSet.js", "w") f.write("var DataSet = ") #Edit here! f.write(str(data)) f.close()
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