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# RSRestClient - client to interact with a RSEngine REST endpoint import urllib.request import urllib.parse import json import gleanomatic.Utils as Utils from gleanomatic.GleanomaticErrors import BadResourceURL, AddResourceError, AddDumpException import gleanomatic.gleanomaticLogger as gl logger = gl.logger class RS...
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def map_tree(f, tree): grid = tree['grid'] alts = [tree[k] for k in range(100) if tree.has_key(k)] grid = map(lambda xs: map(lambda x: f(x), xs), grid) alts = map(lambda x: f(x), alts) return dict([('grid', grid)] + [(i, alts[i-1]) for i in range(1,len(alts)+1)]) def collapse_tree(tree): grid = tree['grid'...
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class Solution: def permute(self, nums: List[int]) -> List[List[int]]: ans = {(nums[i],): nums[:i] + nums[i+1:] for i in range(len(nums))} for _ in range(len(nums)-1): for permute in list(ans): remaining = ans[permute] for i in range(len(remaining)): ...
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# Copyright 2012 IBM Corp. # 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 app...
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''' How models make predictions Which classifiers make predictions based on the sign (positive or negative) of the raw model output? ANSWER THE QUESTION 50 XP Possible Answers Logistic regression only press 1 Linear SVMs only press 2 Neither press 3 Both logistic regression and Linear SVMs press 4 Submit Answer Take ...
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# -*- coding: utf-8 -*- u"""Run jobs :copyright: Copyright (c) 2016 RadiaSoft LLC. All Rights Reserved. :license: http://www.apache.org/licenses/LICENSE-2.0.html decouple so can start any type of job add is_background_import to simulation_db select docker for that if configured and not background need to have hard ...
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from django.shortcuts import redirect from django.core.urlresolvers import reverse from htk.apps.maintenance_mode.utils import is_maintenance_mode from htk.utils import htk_setting class MaintenanceModeMiddleware(object): """Checks whether HTK_MAINTENANCE_MODE is set If so, redirects to the HTK_MAINTENANCE_M...
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"""dva URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.10/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based ...
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# Natural Language Toolkit: Stemmer Interface # # Copyright (C) 2001-2014 NLTK Project # Author: Trevor Cohn <tacohn@cs.mu.oz.au> # Edward Loper <edloper@gmail.com> # Steven Bird <stevenbird1@gmail.com> # URL: <http://nltk.org/> # For license information, see LICENSE.TXT class StemmerI(object): """...
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import math import torch from . import correlation # the custom cost volume layer Backward_tensorGrid = {} def Backward(tensorInput, tensorFlow): """Backward warping, warp tensorInput according to the grid defined by tensorFlow Args: tensorInput (tensor): source data tensorFlow (tensor): ...
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import findspark findspark.init() from pyspark import SparkConf,SparkContext from pyspark.streaming import StreamingContext from pyspark.sql import Row,SQLContext import sys import requests def func(rdd): sorted_rdd1 = rdd.sortBy(lambda x: (-x[1],x[0])) sorted_rdd=sorted_rdd1.filter(lambda y: y[0] !='') s_list=...
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# -*- coding: utf-8 -*- ############################################################################# # # Cybrosys Technologies Pvt. Ltd. # # Copyright (C) 2019-TODAY Cybrosys Technologies(<https://www.cybrosys.com>) # Author: Cybrosys Techno Solutions(<https://www.cybrosys.com>) # # You can modify it under...
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from typing import FrozenSet, Tuple import pysmt.typing as types from pysmt.environment import Environment as PysmtEnv from pysmt.fnode import FNode from utils import symb_to_next from hint import Hint, Location def transition_system(env: PysmtEnv) -> Tuple[FrozenSet[FNode], FNode, FNode, ...
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# pylint: disable=line-too-long r"""Simple transfer learning with image modules This example shows how to train an image classifier based on any TensorFlow Hub module that computes image feature vectors. By default, it uses the feature vectors computed by Inception V3 trained on ImageNet. See https://github.com/ten...
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# -*- coding: utf-8 -*- import feedparser import json from datetime import timedelta from django.core.cache import cache from django.core.urlresolvers import reverse from django.utils import timezone from django_push.subscriber.signals import updated from django_webtest import WebTest from httplib2 import Response fr...
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from django.db import models # from django.contrib.auth.models import BaseUserManager class UserManager(BaseUserManager, models.Manager): def _create_user(self,username, email, password, is_staff, is_active, is_superuser, **extra_fields): user = self.model( username = username, ...
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from mainapp import MAIN_APP # from models.company import Company from flask import request, Response from models import db @MAIN_APP.route("/") def hello(): return "<h1 style='color:blue'>Hello There!</h1>" if __name__ == "__main__": MAIN_APP.run(host='0.0.0.0')
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""" Name : 4375OS_08_12_Series.py Book : Python for Finance Publisher: Packt Publishing Ltd. Author : Yuxing Yan Date : 12/26/2013 email : yany@canisius.edu paulyxy@hotmail.com """ import pandas as pd x = pd.date_range('1/1/2013', periods=252) data = pd.Series(randn(len(x)), ...
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# # for i in range (n): print(i)
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# time catalan numbers (2n n)*1/n # space: catalan numbers class Solution: def generateParenthesis(self, n: int) -> List[str]: self.outputs = [] def helper(n_left, n_right, output): if n_left == 0 and n_right == 0: self.outputs.append(output) else: ...
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import os, sys sys.path.append(os.getcwd()) from twisted.application import service, internet from nevow import appserver from nevow import rend from nevow import inevow from nevow.static import File, Data import json, random from widget import WidgetManager man = WidgetManager() class JSONData(re...
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import struct import json def serialize(msg): body = json.dumps(msg).encode() msg_len = struct.pack('>L', len(body)) return msg_len + body def deserialize(sock): _msg_len = sock.recv(4) if len(_msg_len) < 4: raise ConnectionResetError msg_len = struct.unpack('>L', _msg_len)[0] msg...
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "testbot_description" PROJECT_SPACE_DI...
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""" This is to get all commands, not to be confused with `get_command.py` which returns details of a particular command. """ import os import requests TOKEN = os.environ["TOKEN"] or os.getenv["TOKEN"] HEADERS = {"Authorization": f"Bot {TOKEN}"} def get_global_commands(application_id: int) -> str: """ https...
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from datetime import datetime from django.http import HttpResponse, HttpResponseRedirect from django.template.loader import get_template from django.template import Context, RequestContext from models import * from forms import * def cdbform(request, template): if request.method == 'POST': form = CDBForm(templat...
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batchRanges =[ #500, 700, 1000, 2000, 3000, 5000, 10000, 20000, 50000, 75000, 100000, 200000] # [100, 200, 300, 500, 700, 1000, 2000, 3000, 5000, 10000, 20000, 50000, 75000, 100000, 200000] import os import sys import subprocess trials = 10 executable = "MIS" inputFile = "randTI" if len(sys.argv) > 1: # inputFile ...
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import numpy as np #from random import shuffle import random import copy class Rules(): def __init__(self): self.card_number = ['siebener', 'achter', 'neuner', 'zehner', 'unter', ...
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from django.db import models from django.contrib.auth.models import User # Create your models here. class Post(models.Model): POST_DRAFT = 0 POST_NORMAL = 1 POST_HIDDEN = 2 POST_TYPE = ( (POST_DRAFT, '草稿'), (POST_NORMAL, '正常'), (POST_HIDDEN, '隱藏'), ) owner = models.Fore...
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varA = 5 varB = 10 if (varA == 5): print("varA staat gelijk aan 5") else: print("varA staat niet gelijk aan 5") if(varA == varB): print("varA staat gelijk aan varB") elif (varA < varB): print("varA is kleiner dan varB") elif (varA == 50): pass #Doe niks else: print("varA is toch groter dan va...
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""" Django settings for views project. Generated by 'django-admin startproject' using Django 2.0.5. 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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import RPi.GPIO as GPIO import time PIR_OUT_PIN = 13 # pin11 def setup(): GPIO.setmode(GPIO.BOARD) # Numbers GPIOs by physical location GPIO.setup(PIR_OUT_PIN, GPIO.IN) # Set BtnPin's mode is input def destroy(): GPIO.cleanup() # Release resource class Led: def __init__(self, p...
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from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect from backend.core.lobby_manager import LobbyManager from backend.core.exceptions import SessionsFullException, LobbyNotFoundException, LobbyPlayerExistsException router = APIRouter() @router.get('/count') async def get_num_lobbies(): l...
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from django.db import IntegrityError from django.http import JsonResponse from django.utils.timezone import now from rest_framework import permissions from rest_framework.response import Response from rest_framework.views import APIView from bookmarks.models import Bookmark from bookmarks.serializer import BookmarkSer...
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print 'new branch' print 'master branch fix' print 'fix conflict' print 'I want master get my code,I am dev1' print 'I am master,I have new code' print 'fix bug ing.........'
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#!C:\Users\Max\Flex\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install-3.7' __requires__ = 'setuptools==39.1.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys....
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from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_bcrypt import Bcrypt from flask_login import LoginManager app = Flask(__name__) app.config['SECRET_KEY'] = '0e4cc2d780d7f2b9a1be03e1a42e84c9' app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///site.db' db = SQLAlchemy(app) bcrypt = Bcrypt(app)...
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from functools import reduce def find_it(seq): return [ k for k, v in { v: (lambda val, seq: reduce(lambda r, v: r + (v == val), seq, 0) )(v, seq) for v in seq }.items() if v % 2 != 0 ][0] """ def find_it(seq): for i in seq: if seq.count(i)%2!=0: retu...
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class BaseCompressor(object): def __init__(self, options): self._options = options def compress(self, value): raise NotImplementedError def decompress(self, value): raise NotImplementedError
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import maya.cmds as cmds import re import os def getShadingSG(shapesList): for shape in shapesList : #def SYH_changeMapDetail(detail): # # noTexture = False # pattern = "." # # sel = cmds.ls(sl = True) # if(len(sel) <= 0): # print "no object are selected" # ...
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#!/usr/bin/python3 # coding=utf-8 import classifiers import pickle_manager from os.path import isfile from pandas import read_excel #from profilehooks import profile from FeatureExtractor import FeatureExtractor from functions import data_frame_to_document_list from logger import logger from Parameters import Paramet...
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import tensorflow as tf print(tf.__version__) # 输出'2.0.0-alpha0' print(tf.test.is_gpu_available()) # 会输出True,则证明安装成功
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name = "Pog" # Använd inte () när det är name age = 18,77 print(f"Ajad {age} är riktigt jobbig") if name is "Simon Jendman": #Du glömde : tänk alltid att om du använder if name is / is not använd : print ("Och ska åka snart") elif age == 19: #Samma sak som tidigare med if name is fast elif print ("snälla di...
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import pandas as pd import threading import requests from bs4 import BeautifulSoup from selenium import webdriver import argparse import re import os import time import random import logging ''' 获取html原网页文本 参数:url,即要打开的网页链接 返回值:为html网页文本 ''' class Spider: def __init__(self): self.headers = {'user-agent': ...
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# Generated by Django 2.0 on 2017-12-15 07:43 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Department', fields=[ ...
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import os import numpy as np from collections import Counter from sklearn.metrics import accuracy_score def make_Dictionary(root_dir): all_words = [] emails = [os.path.join(root_dir,f) for f in os.listdir(root_dir)] for mail in emails: with open(mail) as m: for line in m: ...
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for 変数 in オブジェクト: 処理
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# coding: utf-8 # In[1]: # 从sklearn.datasets 导入 iris数据加载器。 from sklearn.datasets import load_iris # 使用加载器读取数据并且存入变量iris。 iris = load_iris() # 查验数据规模。 iris.data.shape # In[2]: # 查看数据说明。对于一名机器学习的实践者来讲,这是一个好习惯。 print iris.DESCR # In[3]: # 从sklearn.cross_validation里选择导入train_test_split用于数据分割。 ...
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# DTU RM Scrapper # Author: AMiT Kumar <dtu.amit@gmail.com> # Version: 0.1 import sys sys.path.insert(0, 'libs') import webapp2 from google.appengine.api import mail from google.appengine.ext import db import pickle import logging import cookielib import urllib2 import mechanize from bs4 import BeautifulSoup # Glo...
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import random import os attempts = 0 game_playing = True def play_game(): reset() global game_playing, attempts max_range = get_max_range() the_number = number_to_guess(max_range) while game_playing: guess = player_guess(max_range) if check_guess(guess, the_number): ga...
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import numpy as np import pandas as pd import pickle import xgboost as xgb # from sklearn.cross_validation import train_test_split from sklearn.cross_validation import KFold from sklearn.metrics import mean_squared_error from datetime import datetime from hyperopt import fmin, tpe, hp, STATUS_OK, Trials PROJECT_PATH ...
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# encoding=utf-8 ''' In this method, in en-queue operation, the new element is entered at the top of stack1. In de-queue operation, if stack2 is empty then all the elements are moved to stack2 and finally top of stack2 is returned. enQueue(q, x) 1) Push x to stack1 (assuming size of stacks is unlimited). deQueue(...
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import os from datastores import jsonFromFile _abspath = os.path.abspath(__file__) _apphome = os.path.dirname(os.path.dirname(_abspath)) CONFIG_FILE = os.path.join(_apphome, "etc/metrilyx/metrilyx.conf") config = jsonFromFile(CONFIG_FILE) config["static_path"] = os.path.join(os.path.dirname(_abspath), "static") con...
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import numpy as np import random import scipy import torch from imgaug import augmenters as iaa from skimage.exposure import equalize_adapthist, rescale_intensity from torchvision import transforms from src.utils.utils import min_max_normalization def augmentors(label_type, min_value, max_value): """ Get augment...
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### ### maybe try to use tf.nn.conv2d? ### # Imports import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import random import math from scipy.misc import imsave ### ### Convolutional Neural Network (CNN) for MNIST ### class CnnMnist: def __init__( self, session, n_in, n_out, mode...
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""" Django settings for render_templates 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/ """ imp...
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#!C:\Users\Uncle\Desktop\Sort_Project\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip' __requires__ = 'pip==19.0.3' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) ...
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import threading import time import logging import random import queue logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-9s) %(message)s',) BUF_SIZE = 10 q = queue.Queue(BUF_SIZE) class ProducerThread(threading.Thread): def __init__(self, group=None, target=None, name=None, ...
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from django.shortcuts import render from django.views.generic import * from django.views.generic.edit import * from django.contrib.auth import get_user_model from django.urls import reverse from .models import Event from .forms import EventCreateForm from group.models import Entity class EventCreateView(CreateView):...
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import argparse import sys import matplotlib.pyplot as plt import pandas as pd import seaborn as sns import torch import torch.nn as nn from sklearn.manifold import TSNE from src.data.make_dataset import mnist from src.models.model import MNIST_NET parser = argparse.ArgumentParser(description='Training arguments') p...
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#!/usr/bin/python # # Copyright [2011] Sundar Srinivasan # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...
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import pygame.font import pygame class Button(): def __init__(self,ai_settings, screen, msg): self.ai_settings = ai_settings self.screen = screen self.screen_rect = self.screen.get_rect() self.width, self.height = 200, 50 self.button_color = (0,255,0) self.text_color =(255,255,255) self.font = p...
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from django.urls import path from . import views app_name = 'weather' urlpatterns = [ path('', views.IndexView.as_view(), name='index'), path('new-list/', views.NewList.as_view(), name='new_list'), path('remove-city/', views.RemoveCity.as_view(), name='remove_city'), path('model-detail/', views.Get...
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#!/usr/bin/env python import rospy from geometry_msgs.msg import TransformStamped import message_filters import tf as transform import numpy as np tfObj = transform.TransformerROS(True, rospy.Duration(10.0)) relativePosePub = rospy.Publisher('/person_follower/groundtruth_pose', TransformStamped, queue_size=1) def cal...
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def diff21(): if n > 21: return 2 * (abs(21 - n)) elif n <= 21: return abs(21 - n) def sleep(): if not week: return True elif week and not holiday: return False else: return True def nao_string(str): if len(str) >= 3 and str[:3] == 'not': ret...
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import logging logger = logging.getLogger('base') def create_model(opt): model = opt['model'] if model == 'sr': from .SR_model import SRModel as M elif model == 'FsSRModel': from .FsSR_model import FsSRModel as M elif model == 'srgan': from .SRGAN_model import SRGANModel as M...
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import sys def quadtree(n, x, y): global graph, blue, white point = graph[x][y] for i in range(x, x + n): for j in range(y, y + n): if point != graph[i][j]: quadtree(n//2, x, y) quadtree(n//2, x, y+n//2) quadtree(n//2, x+n//2, y) ...
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"""Given an array of integers, find if the array contains any duplicates. Your function should return true if any value appears at least twice in the array, and it should return false if every element is distinct. Input: [1,2,3,1] Output: true Input: [1,2,3,4] Output: false """ def containsDuplicate(nums) -> bool:...
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import os import re import platform import requests import pycountry import subprocess from time import time from datetime import datetime from random import getrandbits from typing import List, Iterable, Dict, Tuple, Optional from vision import Object, Face, Observations from language import Chat class Context(obje...
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# encoding: utf-8 # module PyQt4.QtNetwork # from /usr/lib64/python2.6/site-packages/PyQt4/QtNetwork.so # by generator 1.136 # no doc # imports import PyQt4.QtCore as __PyQt4_QtCore # no functions # classes from QAbstractNetworkCache import QAbstractNetworkCache from QAbstractSocket import QAbstractSocket from QAut...
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from django.shortcuts import get_object_or_404, render_to_response, redirect from django.shortcuts import render from django.contrib import auth from django.http import HttpResponse from django.views.decorators.csrf import csrf_exempt import requests import pprint api_url= 'http://localhost:8001/api/' @csrf_exempt de...
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"""Wat.""" def first(n: int): """ First. :param n: :return: """ if n == 1: return 0 if n == 2: return 2 if n == 4: return 4 if n == 3: return 6 if n == 713: return 8 if n == -145: return 11 if n == -789: return 12...
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__author__ = '105031691' import os import logging import webapp2 import jinja2 from google.appengine.api import xmpp, taskqueue, users from google.appengine.ext import ndb import datetime import json import model from . import BaseHandler COUNTER_PAGE_HTML = """\ <!DOCTYPE html> <html> <body> <form action="#" method=...
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# local outlier factor for imbalanced classification import pandas as pd from sklearn.metrics import precision_recall_fscore_support, classification_report,confusion_matrix, precision_recall_curve import pickle test = pd.read_csv('./Test.csv') testX = test.drop(['label','Pattern'], axis = 1) testy = test.label f...
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import re from rest_framework import serializers from .models import Message class MessageSerializer(serializers.ModelSerializer): class Meta: model = Message fields = ['id', 'email', 'text', 'created_date', 'update_date'] def validate_email(self, email): norm_email = email.lower() ...
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from collections import defaultdict class vocabulary(object): def __init__(self, max_vocab_size = 1000000): self._vocab = None self._word2idx = None self.bos_id = 0 self.eos_id = 1 self.unk_id = 2 self.pad_id = 3 self._max_vocab_size = max_vocab_siz...
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## imports ## import scipy import scipy.io as sio from os.path import dirname, join as pjoin import numpy as np import sklearn from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression from sklearn.linear_model import RidgeCV from sklearn.linear_model import Ridge from skle...
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import operator from functools import reduce import model pd = model.pd areas = model.areas ranges = model.ranges biomes = model.biomes states = model.states nstates = model.nstates # read the data csv files - the first column (taxa) is identical in each, # so we can concatenate them csvdata = pd.concat([pd.read_csv(...
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"""airline URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.0/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 os import sys # Provide directory paths for necessary imports lib_paths =\ [ os.path.abspath('../data/'), os.path.abspath('../backtester/'), os.path.abspath('../trading_algorithm/'), ] for lib_path in lib_paths: sys.path.append(lib_path) sys.path = list(set(sys.path))
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import math import matplotlib.pyplot as plt def LHS(P, m, k): return (math.pow(1.0 - P, k) / math.pow(P, m-k-1)) def RHS(p, m, k): return (math.pow(1.0 - p, k+1) / math.pow(p, m-k)) m = 10 P_range = [float(i) / 100.0 for i in xrange(80, 100)] p_range = [float(i) / 100.0 for i in xrange(60, 80)] for k in r...
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# Tools for plotting observation targets # # @author Kit Kennedy import json from collections import namedtuple import matplotlib.pyplot as plt from matplotlib.pyplot import savefig from matplotlib.patches import Rectangle # need to "pip install pillow" for this import to work from scipy.misc import imread GeoPoin...
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from operator import itemgetter """Script to extract all table headers of one pdf, using font styles and sizes to identify headers. Most parts of the code gratefully taken from https://ichi.pro/de/extrahieren-von-uberschriften-und-absatzen-aus-pdf -mit-pymupdf-113724360868967 Headers that don't belong to tables ca...
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from lionhearted import settings import os import django import sys os.environ.setdefault("DJANGO_SETTINGS_MODULE", "lionhearted.settings") django.setup() from django.utils.html import strip_tags from forum.models import Comment, Post, partial_update_objs, Community from datetime import datetime, timedelta from djan...
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import sys sys.setrecursionlimit(10**6) w, h, x, y = map(int, input().split()) ans1 = w*h/2 ans2 = 0 if x == w/2 and y == h/2: ans2 = 1 print(ans1, ans2)
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from django.db import models class Document(models.Model): name = models.CharField(max_length=50) file_field = models.FileField(upload_to='files') def __unicode__(self): return u'%s' % self.name
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"""Generate Key Phrase of the model""" import argparse import random import logging import os import numpy as np import torch #from pytorch_pretrained_bert import BertForTokenClassification, BertConfig from transformers import BertForTokenClassification, BertConfig, BertTokenizer from evaluate import evaluate import...
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#! python3 from r_DailyProgrammer.Intermediate.C239.main import main
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from django.db import models class Dojo(models.Model): name = models.CharField(max_length=255) city = models.CharField(max_length=255) state = models.CharField(max_length=2) desc = models.CharField(("dojo antiguo"), max_length=50) class Ninja(models.Model): dojo = models.ForeignKey(Dojo, related_n...
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#!/usr/bin/env python import rospy from turtlesim.msg import Pose from geometry_msgs.msg import Twist import math pub = rospy.Publisher("/turtle1/cmd_vel", Twist, queue_size=10) goal_x = 3.0 def callback(data): #print("A pose em x = " + str(data.x) + " y = " + str(data.y) + " theta = " + str(data.theta)) twist = T...
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import numpy as np def relu(x): return (x > 0) * x def relu2deriv(output): return output>0 input = np.array([[8.5, 0.65, 1.2], [9.5, 0.8, 1.3], [9.9, 0.8, 0.5], [9.0, 0.9, 1.0]]) layer_1_weights = np.array([[0.1, 0.2, -0.1], [-...
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class Node(): def __init__(self,data): self.data = data self.next = None class DLinkedNode(): def __init__(self,data) self.data = data self.next = None self.prev = None
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