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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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# Copyright The PyTorch Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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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 database import * import datetime class NoteModel: def __init__(self): self.db = db self.cursor = cursor def all_post(self): sql = "select * from note where id_user = 1 order by tanggal_diperbaharui desc" try : self.cursor.execute(sql) temp_results = self.cursor.fetchall() results = [] i = 1 ...
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from tkinter import * from tkinter import filedialog from tkinter import messagebox from tkinter import ttk from PIL import Image, ImageTk import os import glob import random # colors for the bboxes COLORS = ['red', 'blue','pink', 'cyan', 'green', 'black'] # image sizes for the examples SIZE = 256, 256 ...
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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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# 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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import torch from torch import nn from torch.nn import init import math class SimpleConvolution(nn.Module): def __init__(self, in_channels, out_channels): super().__init__() self.in_channels = in_channels self.out_channels = out_channels self.weight = nn.Parameter(torch.Tensor(in_...
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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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from schematics.models import Model from schematics.types import StringType, URLType, BooleanType, BaseType, IntType from schematics.types import UUIDType, DateTimeType, TimestampType from schematics.types import ListType, ModelType, DictType, PolyModelType from schematics import exceptions import json import collec...
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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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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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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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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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"""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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""" Example of how to use byte-code execution technique to trace accesses to numpy arrays. This file demonstrates two applications of this technique: * optimize numpy computations for repeated calling * provide automatic differentiation of procedural code """ import __builtin__ import ctypes import inspect import lo...
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# coding: utf-8 import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class PauseScalingGroupRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is att...
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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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#!/usr/bin/env python # -*- coding: utf-8 -*- from django.db import models from django.utils import timezone from django.utils.html import strip_tags from django.utils.text import Truncator from tagging.fields import TagField from tagging.utils import parse_tag_input from author import Author from category import Ca...
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from __future__ import division import numpy as np class Solow: def __init__(self,n,s,d,alpha,z,k): self.n, self.s,self.d, self.alpha, self.z=n, s,d,alpha,z self.k=k def h(self,x): temp = self.s*self.z*self.k**self.alpha+self.k*(1-self.d) return temp/(1+self.n) def ...
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""" find pairs that equal sum n = [3, 6, 7, 4] target = 10 """ def pairsum_brute(n, target): pairs = [] for i in range(len(n)): for j in range(i + 1, len(n)): if n[i] + n[j] == target: pairs.append((n[i], n[j])) return pairs def pairsum_sorted(n, target): n = sorte...
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from subprocess import Popen def load_jupyter_server_extension(nbapp): """serve the final.ipynb directory with bokeh server""" Popen(["panel", "serve", "final.ipynb", "--allow-websocket-origin=*"])
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# 小易准备去魔法王国采购魔法神器,购买魔法神器需要使用魔法币,但是小易现在一枚魔法币都没有,但是小易有两台魔法机器可以通过投入x(x可以为0)个魔法币产生更多的魔法币。 # 魔法机器1:如果投入x个魔法币,魔法机器会将其变为2x+1个魔法币 # 魔法机器2:如果投入x个魔法币,魔法机器会将其变为2x+2个魔法币 # 小易采购魔法神器总共需要n个魔法币,所以小易只能通过两台魔法机器产生恰好n个魔法币,小易需要你帮他设计一个投入方案使他最后恰好拥有n个魔法币。 # 输入描述: # 输入包括一行,包括一个正整数n(1 ≤ n ≤ 10^9),表示小易需要的魔法币数量。 # # # 输出描述: # 输出一个字符串,每个字符表示该次小易选取...
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import tkinter as tk from tkinter import * from settings import * app = tk.Tk() app.title(APP_NAME) app.minsize(width=WIDTH, height=HEIGHT) app.geometry(f'{WIDTH}x{HEIGHT}+200+100') text = tk.Text(app, width=WIDTH-50, height=HEIGHT, wrap='word') scroll = Scrollbar(app, orient=VERTICAL, command=text.yview)...
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# preprocess.py # 這個 block 用來做 data 的預處理 import torch from torch import nn from gensim.models import Word2Vec class Preprocess(): def __init__(self, sentences, sen_len, w2v_path="./w2v.model"): self.w2v_path = w2v_path self.sentences = sentences self.sen_len = sen_len self.idx2word ...
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from .simple_replay_buffer import SimpleReplayBuffer
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from twisted.internet import reactor from history import receiveData import math #TODO Need to properly run through all of received data for multiple messages. def parseBeastMessage(name, msg): #For reference: http://wiki.modesbeast.com/Mode-S_Beast:Data_Output_Formats : #<esc> "1" : 6 byte MLAT, 1 b...
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#Name: Nasrin Nahar #Date: 10.21.20 #This code prints prints the part number, followed by pairs of x,y coordinates of the vertices of Hawaii feature class import arcpy from arcpy import env env.workspace = "D:\BU Masters\Fall 2020\Programming in GIS\Programming in GIS Lab data\Programming in GIS Lab data\Exercise08" fc...
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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html from scrapy import Item, Field class BookItem(Item): id = Field() title = Field() author = Field() type = Field() description = Field() url = ...
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import logging import os import hydra from omegaconf import OmegaConf from pytorch_lightning import Trainer from pytorch_lightning.loggers import NeptuneLogger from torchvision.transforms import transforms from hiding_adversarial_attacks._neptune.utils import get_neptune_logger from hiding_adversarial_attacks.callbac...
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# #! -*- coding:utf-8 -*- # import json # import numpy as np # from random import choice # from tqdm import tqdm # from keras_bert import load_trained_model_from_checkpoint, Tokenizer # import re, os # import codecs # mode = 0 # maxlen = 160 # learning_rate = 5e-5 # min_learning_rate = 1e-5 # config_path = 'cased_...
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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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from django.contrib import admin from django.contrib.auth.admin import UserAdmin from django.utils.translation import ugettext_lazy as _ from backend.models import User, Shop, Category, Product, ProductInfo, Parameter, ProductParameter, Order, OrderItem, \ Contact, ConfirmEmailToken class ContactInline(admin.Tab...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.25 on 2019-11-18 17:02 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0002_user_prouser'), ] operations = [ migrations.AddField( ...
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def product(numbers): sum_so_far=1 for number in numbers: sum_so_far*=number return sum_so_far print(product([1,2,3])) print(product([7,-4,1,6,0])) print(product([]))
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from account.tests.factories import ProfileFactory from adm.tests.factories import AdministrativoFactory from adm.tests.utils import SetUpTestViewAtoData from core.permissions import GRUPO_ADMINISTRATIVO from django.contrib.auth.models import Group from django.test import TestCase from django.urls import reverse from ...
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from locust import HttpLocust, TaskSet, task import json counter = 0 class UserBehavior(TaskSet): #global counter def on_start(self): """ on_start is called when a Locust start before any task is scheduled """ self.login() def login(self): res = self.client.post("/login/login-ajax...
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from setuptools import setup from setuptools import find_packages __version__ = '0.0.1' setup( name='oalfonso-reconciliation', version=__version__, long_description='Importing and reconciling from CSV + API View', packages=find_packages(), include_package_data=True, install_requires=[ ...
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from django.conf.urls import url from . import views urlpatterns = [ url(r'^inbound/sms/$', views.inbound), url(r'^outbound/sms/$', views.outbound), ]
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""" Provides matrix support. """ __docformat__ = "restructuredtext" from .algebra import Matrix, MatrixBase from .functions import eye, concatenate, jacobian from .polyhedra import Polyhedron
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from functools import wraps import logging from django.http import HttpResponse from .helpers import _ensure_request logger = logging.getLogger('typeform') def ensure_request(view_func): """ Decorator that ensure request from typeform. """ @wraps(view_func) def _wrapped_view_func(request, *args...
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import json import os from pbpstats import G_LEAGUE_STRING, NBA_STRING from pbpstats.data_loader.stats_nba.web_loader import StatsNbaWebLoader class StatsNbaSummaryWebLoader(StatsNbaWebLoader): """ A ``StatsNbaSummaryWebLoader`` object should be instantiated and passed into ``StatsNbaSummaryLoader`` when loa...
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aku=1500 while aku ==1500: import sys elo= {"jb","lw","lw"} print("jb-Jabodetabek\ndw-Pulau Jawa\nlw-Luar Jawa") destinasi= input("Tujuan Barang(q-quit)= ") if destinasi=="q": sys.exit(0) if destinasi == "jb": price= 10000 elif destinasi == "...
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#Condition function object for state Machine class Condition: def condition(self, input): assert 0, "condition() not implemented"
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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 distutils.core import setup, Extension module1 = Extension('spam', sources=['spammodule.c']) setup(name='PackageName', version='1.0', description='This is a demo package', ext_modules=[module1])
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from django.contrib.auth.decorators import login_required from django.shortcuts import render from inspect import getmembers from pprint import pprint from django.forms import modelform_factory from django import forms from django.contrib.auth.models import User; from . import models #from blog.articles.models import S...
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you@example.com
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/rucio_opint_backend/apps/users/serializers.py
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from rest_framework import serializers from rest_framework_jwt.settings import api_settings from django.contrib.auth.models import User class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ('username',) # Signup class class UserSerializerWithToken(serializers.Mod...
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from abc import ABCMeta, abstractmethod from collections.abc import Iterable from typing import List class MenuItem: def __init__(self, name: str, description: str, vegetarian: bool, price: float) -> None: self.name: str = name self.description: str = description self.vegetarian: bool = ve...
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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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#conding:utf-8 #!usr/bin/python3 import re import sqlite3 cities = ['dl','bj','cd','cq','cs','gz','hz','jn','nj','qd','sz','wh','xm','xa','zz','km','sy','hui','hf','ty']## Chinesename=['大连','北京','成都','重庆','长沙','广州','杭州','济南','南京','青岛','深圳','武汉','厦门','西安','郑州','昆明','沈阳','惠州','合肥','太原'] def processdata(file,cur): text =...
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# functions and methods are more or less the same thing # def Ranvir(): # "function docString" # print("I want to learn Python") # print("I am doing it") # return #Ranvir() def greetings(name): print("Hello", name) return userName = input("Enter your name:") greetings(userName)
[ "ranvirece09@gmail.com" ]
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import csv with open('saladeaulainf.ttl', 'a') as new: with open('alunos.csv', mode='r') as infile: reader = csv.reader(infile) header = next(reader) for rows in reader: new.write("<http://www.semanticweb.org/macz/ontologies/2020/salaAula#"+rows[0]+">"+" rdf:type owl:NamedIndividual ,"+"\...
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import pygal from .models import dst_2013 class decLineChart(): def __init__(self, **kwargs): self.chart = pygal.Line(**kwargs) self.chart.title = 'DST INDEX OF DECEMBER 2013' def get_data(self): dataInt = [] d = dst_2013.objects.get(pk=1) comma = "," seq = (d.d1,d.d2,d.d3,d.d4,d.d5,d.d6...
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from glob import glob import csv import numpy as np from sklearn.preprocessing import normalize import json import os import os.path import scipy.sparse from Artist import Artist from Tracks import Tracks class Process: def __init__(self): self.DATA = './data/' self.USERS_TOP_TRACKS = self.DATA +...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('management', '0016_demoresourcedata_validation_result'), ] operations = [ migrations.AlterField( model_name='dem...
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class Restaurant(): """A simple restaurant model""" def __init__(self, restaurant_name, cuisine_type): """Initialize restaurant_name and cuisine_type attributes""" self.restaurant_name = restaurant_name self.cuisine_type = cuisine_type self.number_served = 0 def describe...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file '/Users/chenbiao/Documents/workspaces/tools/couput.ui' # # Created: Thu Sep 5 15:37:23 2013 # by: PyQt4 UI code generator 4.10.2 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUt...
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from __future__ import division import numpy as np import matplotlib.pyplot as plt from pymatgen import MPRester # import/truncate raw data (volume, density, energies, etc) m = MPRester("ID") data = m.query(criteria={"elasticity": {"$exists": True}}, properties=["pretty_formula", "volume...
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import json import boto3 import logging dynamodb = boto3.client('dynamodb') logger = logging.getLogger() logger.setLevel(logging.INFO) def get_todo(id): try: res = dynamodb.get_item( TableName='todos', Key={'id': { 'N': str(id), }}, AttributesToGet=['id', 'descriptio...
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############### # practice to make a sklearn database import sklearn.datasets skdb = sklearn.datasets.base.Bunch(data=X_train, target=y_train) # this allows you to name your data for easier visualization skdb.target_names = np.array(['Died', 'Survived']) skdb.feature_names = np.array(['Pclass', 'Sex', 'Embarked']) ...
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# Generated by Django 3.1.6 on 2021-03-11 14:40 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('courses', '0002_learning_prerequisite_tag'), ] operations = [ migrations.AlterField( model_name='course', name='leng...
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""" modified Code based on https://github.com/vvhitedog/three_sphere_intersection and https://stackoverflow.com/a/1407395/177931 Implements an analytic solution based on what is documented in above answer. """ import numpy as np def find_aequidist_points_on_sphere(p1, p2, r, deg: bool = True, R=1): """ ...
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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...
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""" Django settings for new_18912 project. Generated by 'django-admin startproject' using Django 1.11.16. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ import...
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# 关键词词共现 # -*- coding: utf-8 -*- """ @File : text_library_mysql2mongo.py @Author : Yuka @Time : 2021/1/7 14:53 @Version : 1.0.0 @Description: """ import json import xlsxwriter import mysql.connector.pooling import pymongo def sort_dict_by_value(d, reverse=True): return dict(sorted(d.items(), k...
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n = int(input("Enter the number")) for i in range(0,n): for j in range(0,i+1): if j == 0: print("#",end = " ") else: print(" ", end = " ") for j in range(i,n+1): if j==n or j==i: print("@", end = " ") else: print(" ", end =" ") ...
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import unittest from final_proj import * class TestDatabase(unittest.TestCase): def test_cultures_table(self): conn = sqlite3.connect(DBNAME) cur = conn.cursor() sql1 = 'SELECT Name FROM Cultures' results1 = cur.execute(sql1) results1_list = cur.fetchall() self.ass...
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import hashlib import uuid # Menggunakan metode hashing SHA256 dengan memanfaatkan built-in module hashlib dan uuid # Informasi didapatkan dari pythoncentral.io # Fungsi untuk merubah password user dalam bentuk hash saat signup def hash(password): # Membuat susunan kata acak yang akan ditambahkan ke pas...
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from collections import defaultdict, Counter import itertools import math import random class BayesNet(object): "Bayesian network: a graph of variables connected by parent links." def __init__(self): self.variables = [] # List of variables, in parent-first topological sort order self.lookup ...
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from puzzle.utils.constants import HGNC_TO_OMIM, SEVERITY_DICT def test_HGNC_TO_OMIM(): assert HGNC_TO_OMIM['CACNA1F'].get('mim_nr') == 300110 assert HGNC_TO_OMIM['ADK'].get('mim_nr') == 102750 def test_SEVERITY_DICT(): assert SEVERITY_DICT['transcript_ablation'] == 0 assert SEVERITY_DICT['start_lost'...
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#!/usr/bin/env python """Implements a binary search tree.""" class Node: """A tree node.""" def __init__(self, key, data=None): """Creates a node item.""" self.key = key self.data = data self.parent = None self.left = None self.right = None class BinarySearchTre...
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from .group_by_aspect_ratio import GroupedBatchSampler, create_aspect_ratio_groups from .distributed_utils import init_distributed_mode, save_on_master, mkdir from .coco_utils import get_coco_api_from_dataset from .coco_eval import CocoEvaluator # just a test for github
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cities=[] location=[] n=int(input("enter list size")) for x in range(0, n): c=str(input("enter city name")) cities.append(c) l=str(input("enter location")) location.append(l) zipped=zip(cities,location) print(list(zipped))
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import mpy4py import random def generate(sz, rg, sl): """ :type int sz: size of square matrix(sz * sz) :type int rg, int sl: range and scale of data. For example if the value field will be [-0.2, 0.2], than rg = 2, sl = 10 :rtype: (matrix List[List[float]], vector List[float]), float in Python equa...
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#From Vincent Tatan's In 12 minutes:Stocks Analysis with Pandas and Scikit-Learn #Homework2 for Siraj ML class - none of this code is mine, only modified and stock pick changed import datetime from pandas_datareader import data as pdr import yfinance as yf #pick stock, VTI VTI = yf.Ticker("VTI") #import data...
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from application.extensions import apimanager from application.models.model import QRUser, User, UserWallet from application.extensions import auth from application.database import db from gatco.exceptions import ServerError from sqlalchemy import create_engine import os import random import string import aiofiles im...
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# # delphi.py, 200611 # import os import errno def CreateDir(dir): try: if not os.path.isdir(dir): os.makedirs(os.path.join(dir)) return True except OSError as e: if e.errno != errno.EEXIST: raise return False def DirectoryExists(dir): return os.path.isdir(dir) ...
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#!/usr/bin/python3 import csv from urllib import request def read(url): with request.urlopen(url) as entrada: print('Baixando CSV...') dados = entrada.read().decode('latin1') print('Download completo...') for cidade in csv.reader(dados.splitlines()): print(f'{cidade[8]}...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.5 on 2017-02-12 20:42 from __future__ import unicode_literals import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('companies', '0003_auto_20170212_2033'), ] operations = [ mi...
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import pandas as pd import matplotlib.pyplot as plt import numpy as np import math import json import math def rmse(x,y): sum=0 for i in range(len(x)): sum=sum+(x.iloc[i]-y.iloc[i])*(x[i]-y[i]) return math.sqrt(sum/len(x)) filename='zone5' tab2=pd.read_csv(filename+'validation_result....
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from space import read_data objects = read_data() root = objects['COM'] def traverse(current, level=1): n = len(current.orbiters) * level for child in current.orbiters: n += traverse(child, level + 1) return n print(traverse(root))
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from enum import Enum class Resource(Enum): FOOD = "food" LINEMATE = "linemate" DERAUMERE = "deraumere" SIBUR = "sibur" MENDIANE = "mendiane" PHIRAS = "phiras" THYSTAME = "thystame"
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# coding: utf-8 """ Kubernetes No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1.25.11 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unitt...
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# Generated by Django 2.2 on 2020-04-03 10:37 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.AddField( model_name='vacancy', na...
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#!/usr/bin/python3 # 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...
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def count_recursively(lst): """Return number of items in a list, using recursion.""" if not lst: return 0 return 1 + count_recursively(lst[1:]) print("test [1, 2, 3] -> 3") print(count_recursively([1, 2, 3]))
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import turtle colors=["red","blue","green","black","brown"] my_turtle = turtle.Turtle() my_turtle.speed(70) for i in range(276): my_turtle.pencolor(colors[i%5]) my_turtle.left(70) #(a) my_turtle.forward(100) #(a) my_turtle.left(55) #(a) my_turtle.backward(100) #(a) my_turtl...
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# -*- coding: utf-8 -*- __author__ = 'Алексей Коваленко' import fractions import random import re import os # Задание-1: # Написать программу, выполняющую операции (сложение и вычитание) с простыми дробями. # Дроби вводятся и выводятся в формате: # n x/y ,где n - целая часть, x - числитель, у - знаменатель. # Дроби ...
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#%% import os import numpy as np import random as rand from PIL import Image import chainer import chainer_mask_rcnn as cmr from chainercv import utils from utils.vis_bbox import vis_bbox from utils.bn_utils import bn_to_affine import matplotlib.pyplot as plt # specify which gpu to use os.environ["CUDA_DEVICE_ORDE...
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# WARNING: Please don't edit this file. It was generated by Python/WinRT v0.9.210202.1 import typing, winrt import enum _ns_module = winrt._import_ns_module("Windows.Security.Cryptography.Certificates") try: import winrt.windows.foundation except: pass try: import winrt.windows.foundation.collections ex...
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""" - CS2911 - 0NN - Fall 2017 - Lab N - Names: - Jason Gao - Nick Gorecki - Alex A simple email sending program. Thanks to Trip Horbinski from the Fall 2015 class for providing the password-entering functionality. """ # GUI library for password entry import tkinter as tk # Socket library import socket # SSL...
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"""CARTS算法代码实现 20180911 jackhe""" from numpy import * import numpy as np import matplotlib.pyplot as plt """读取数据函数""" def loadDataSet(filename): dataMat=[] fr=open(filename).readlines() for line in fr: curline=line.strip().split('\t') fltline=list(map(float,curline)) ...
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""" Django settings for yfkyfkfu_1352 project. Generated by 'django-admin startproject' using Django 1.11.16. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ im...
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from flask import Flask, render_template, request import numpy as np from flask import jsonify from NeuralNetwork import NeuralNetwork app = Flask(__name__) @app.route('/api/', methods=['GET', 'POST']) def api(): if request.method == 'POST': x_all = np.array(([request.get_json()["data"]]), dtype=float) ...
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# coding: utf-8 """ Magento Community No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import os import sy...
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