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import numpy as np import matplotlib.pyplot as plt from scipy import integrate from scipy import linalg from sklearn.preprocessing import normalize import csv from sklearn.linear_model import lasso_path # system size n = 1 # parameters def hillfunc(t, x): k = 1 return np.divide(x**4, (2**4 + x**4))*x def ne...
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import click @click.group(invoke_without_command=True) @click.pass_context def main(ctx, threads, keyfile, input_file, respect_word_order, **kwargs): pass if __name__ == '__main__': main()
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import numpy, time, cPickle, gzip import os import sys import theano import theano.tensor as T from theano.tensor.shared_randomstreams import RandomStreams from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams from Activations import * from Noise import * from Regularization import * from Reconstructio...
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import random from typing import Dict, List, Any, Union import numpy as np import pandas as pd import random import matplotlib.pyplot as plt import math import copy def to_str(var): # https://stackoverflow.com/questions/24914735/convert-numpy-list-or-float-to-string-in-python """ :param var: inpu...
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#!/usr/bin/env python #coding: utf-8 #name: scan log #by Camelsky 2012/02/19 import os import re import tornado import time import gzip from bitarray import bitarray from tornado.options import options, define from datetime import date, datetime, timedelta try: import redis except: print("Need python module \'...
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from random import randint as ___ def _(_): __ = {"_": [_, ""]} _____ = 0 for _ in _: ____ = ___(1, 2) if ____ == 1: __["_"][1] += str(int(_) + 1) __[f"{_____}_{_}"] = "+" else: __["_"][1] += str(int(_) - 1) __[f"{_____}_{_}"] = "-" _____ += 1 return __
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#DICTIONARY-5 D={1:200,2:400,"PI":3.1416} z=D[2] print(z) V=D["PI"] print(V)
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from xmlrpc.server import SimpleXMLRPCServer import xmlrpc.client server = SimpleXMLRPCServer(("0.0.0.0", 5556)) def Emergency_Calls(namaLapor, alamatLapor) : client_Pusat = xmlrpc.client.ServerProxy("http://127.0.0.1:5555") notif = client_Pusat.laporan(1, namaLapor, alamatLapor) if notif == "Laporan diter...
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from django.urls import path from django.views.generic import TemplateView urlpatterns = [ path('', TemplateView.as_view(template_name='client/index.html')), ]
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def gcd(x, y): """Returns the greatest common denominator of two integers.""" if y == 0: return x else: r = x % y return gcd(y, r) def superLcm(num): """Returns the least common multiple of all numbers from 1 to num.""" lcm = 1 for i in range(2, num+1): if lcm%i ...
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# Generated by Django 2.0.6 on 2019-08-18 08:25 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0003_auto_20190818_1124'), ] operations = [ migrations.AlterField( model_name='note', name='done', ...
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# # @lc app=leetcode id=399 lang=python3 # # [399] Evaluate Division # class Solution(object): def calcEquation(self, equations, values, queries): """ :type equations: List[List[str]] :type values: List[float] :type queries: List[List[str]] :rtype: List[float] """ ...
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sum = 0.0 n = 0 #Define of variable กำหนดให้ sum เท่ากับ 0.0 กำหนดให้ n เท่ากับ 0 number = int(input("Enter number :")) #input รับค่าตัวเลขเข้ามาทางแป้นพิมพ์ while number > -1: #process ทำเงื่อนไข while โดยให้รับตัวเลขเข้ามาเรื่อยๆจนกระทั่งมีการรับตัวเลข -1 เข้ามาจึงหยุดรับตัวเลขแล้วนำตัวเลขทั้งหมดมาบวกกันแล้วหาค่า...
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import numpy as np n = int(input()) a,b = (np.array([input().strip().split() for _ in range(n)], dtype=np.int) for _ in range(2)) print (np.dot(a,b))
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import json def f1_score(pred, answer): pcnt = 0 for word in pred: if word in answer: pcnt += 1 rcnt = 0 for word in answer: if word in pred: rcnt += 1 precision = pcnt / len(pred) recall = rcnt / len(answer) # cover div...
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# -*- coding:utf-8 -*- # Author: davie # 表达式if ... else """ 场景一:用户登陆验证 1、提示用户输入用户名和密码 2、验证用户名和密码 如果错误,则输出用户名或密码错误 如果成功,则输出欢迎,xxx! """ import getpass name = "davie" pwd = "abc123" _name = input("请输入用户名:") _pwd = input("请输入密码:") if _name == name and _pwd == pwd: print("欢迎,{}".format(name),'!') else: prin...
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# import necessary modules from tweepy.streaming import StreamListener from flask import Flask, request, jsonify from flask_restful import Resource, Api from tweepy import OAuthHandler , Stream , API from sqlalchemy import Table,select,insert,create_engine,MetaData,cast,desc from sqlalchemy import Column,String,Integ...
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# -*- coding: utf-8 -*- # --------------------- from typing import * import torch from path import Path from torch import nn class BaseModel(nn.Module): def __init__(self): super().__init__() @property def n_param(self): # type: (BaseModel) -> int """ :return: number of parameters """ return sum(p...
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# -*- coding: utf-8 -*- from __future__ import division from django.shortcuts import render from show.models import ShowGroup, ShowReview, Round, ShowFile from django.core.exceptions import ObjectDoesNotExist from student.models import Enroll from django.shortcuts import render_to_response, redirect from django.templat...
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#!/usr/bin/env python # -*- encoding: utf-8 -*- ''' Created on 1/05/2011 @author: Carlos Daniel Sanchez Ramirez <ErunamoJAZZ> @web: https://github.com/ErunamoJAZZ/Visor-Unal ''' import wx, ImageChops, EngineGlobal from EngineGlobal import ImgActual #--Filtros 2 def invertir(event): img_out= ImageChops.invert( Im...
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async def wallet(message, numGraphicCards, numDogecoin, numEthereum, numBitcoin): await message.channel.send('You have **' + str(numGraphicCards) + '** graphic cards <:graphic_card:843320481905377320>. \n\ You have **' + str(numDogecoin) + '** dogecoin <:dogecoin:843319595086905374>. \n\ You have **' + str(numEthere...
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# Given n non-negative integers a1, a2, ..., an , where each represents a point at # coordinate (i, ai). n vertical lines are drawn such that the two endpoints of line # i is at (i, ai) and (i, 0). Find two lines, which together with x-axis forms a # container, such that the container contains the most water. def maxA...
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def printMaxOfnDigits(n): ''' 用字符串形式打印,防止大数 :param n: :return: ''' if n <= 0: return number = ['0'] * n while not Increment(number): PrintNumber(number) def Increment(number): # 从后往前遍历,首次+1,如果大于==10且不是第0位,则将本身做0处理,将上一位+1 # 如果第0位的值为10,则达到最大值 isOverflow = Fals...
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from Manejador_Integrante import Manejador_Integrante from Manejadores_Proyecto import Manejador_Proyecto if __name__ == "__main__": ManejProyecto = Manejador_Proyecto() ManejIntegrante = Manejador_Integrante() ManejProyecto.Cargar_Archivo("proyectos.csv") ManejIntegrante.Cargar_Archivo_Integrante...
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# coding: utf-8 # In[1]: import pandas as pd import numpy as np from keras.models import Sequential from keras.layers import Dense, Input, Flatten, Dropout from keras.layers import Conv1D, MaxPooling1D, Embedding from keras.preprocessing.text import Tokenizer from keras.preprocessing.sequence import pad_sequences f...
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# -*- coding: utf-8 -*- """ Created on Thu Aug 24 09:47:37 2017 @author: akash.a """ # Run some setup code for this notebook. import random import numpy as np from cs231n.data_utils import load_CIFAR10 import matplotlib.pyplot as plt from __future__ import print_function # This is a bit of magic to make matplotlib...
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import sys, os import csv import numpy as np from keras.models import load_model import keras.backend as K import matplotlib.pyplot as plt import matplotlib model = load_model('CNN.h5') input_path = sys.argv[1] # "train.csv" directory = sys.argv[2] # "picture/" isget = [0]*7 sample_data = [] class_da...
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"""removed item id column, item relationship, quantity, unit, note and status return procurement in ProcurementBorrowDetail model Revision ID: 553c32c42187 Revises: 68a7bfa29b3a Create Date: 2023-02-24 11:41:24.833000 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revisi...
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# cube.py# Chris Barker# CMU S13 15-112 Term Project from Tkinter import *from geometry import *import heapqimport copyimport randomimport solutionsimport mathfrom math import sin, cos, pi class Struct(object): pass def loadObject(path, index): with open(path) as file: try: data = file.read() except Exception as e: pri...
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import numpy as np import scipy as sp import matplotlib.pyplot as plt x=np.linspace(0, 10*np.pi, 100) y=np.cos(x) y2=np.exp(-x/10)*np.cos(x) plt.plot(x,y, 'r', x, y2, 'g') plt.title('Cos function and cos with exponentiel') plt.xlabel('x') plt.ylabel('y & y2') plt.show()
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''' Created by auto_sdk on 2013-06-03 16:32:57 ''' from top.api.base import RestApi class TopatsTaskDeleteRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.task_id = None def getapiname(self): return 'taobao.topats.task.delete'
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import logging def user_logging(func): def wrapper(*args, **kwargs): logging.warn("%s is running" % func.__name__) return func(*args, **kwargs) return wrapper @user_logging def foo(name, age=None, height=None): print('i am %s, age %s, height %s' % (name, age, height)) foo('haha', 12, 40)
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## Milton Li 2017 ## Capstone 8 - Project 16: Bio-waste Disposal ## Singapore University of Technology and Design ## Uses simple linear regression to determine if a pixel is green or non-green from PIL import Image import sys import numpy as np from time import sleep from math import exp # Requires imageAnalysis.py ...
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from django.views import generic from . import models from . import forms from django import urls from django.urls import reverse_lazy from django.shortcuts import get_object_or_404,redirect from django.http import HttpResponseRedirect,HttpResponse from django import http from django.core.urlresolvers import reverse f...
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class MyList(list): def append(self, *args): self.extend(args) m = MyList() m.append(0) m.append(1,2,3,4,5,6) print(m) class MyList1(list): def sort(self): return 'eae vey? ta afim de ordenar?' l = [4,1,78,34,4,9] '''l.sort() print(l)''' lista = MyList1() print(lista.sort())
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from cpo import * def test_monitor_init(): Monitor()
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from peewee import * db = PostgresqlDatabase('hello', user='postgres', password='postgres', host='localhost', port=5455) class Person(Model): name = CharField() birthday = DateField() address = CharField() class Meta: database = db # This model uses the "people.db" d...
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import os,sys import jieba, codecs, math import jieba.posseg as pseg names = {} #姓名字典 relationships = {} #关系字典 lineNames = [] #每段内人物关系 jieba.load_userdict("dict.txt") #加载字典 with codecs.open("busan.txt","r","utf8") as f: for line in f.readlines():#读取文件所有东西,每行作为列表的一个元素 poss = pseg.cut(line)#分...
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from torch import nn import math import torch class Attentive(nn.Module): def __init__(self, input_dim, hidden_dimensions=(64, 64, 64, 64), memory_size=256, memory_dimension=32, key_dimension=16, output_dim=2): super(Attentive, self).__init__() self.memory = nn.Parameter(torch.randn(memory_siz...
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#! /usr/bin/python # Retreive arbitrary information from remote devices using NETCONF RPC calls import sys import argparse from jnpr.junos.utils.config import Config from jnpr.junos.exception import * from jnpr.junos import Device from pprint import pprint as pp from lxml import etree def getArguments(): parse...
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from os import path from time import sleep import subprocess import pytest from autobahn_sync import AutobahnSync, ConnectionRefusedError CROSSBAR_CONF_DIR = path.abspath(path.dirname(__file__)) + '/.crossbar' START_CROSSBAR = not pytest.config.getoption("--no-router") @pytest.fixture(scope="module") def crossbar(...
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# -*- coding: utf-8 -*- """ Created on Tue Dec 22 17:19:08 2020 @author: sujin """ import pandas as pd #import data filename = 'NB_data.xlsx' data = pd.read_excel(filename, index_col = 0, na_values= ['',' - ',0]) data = data.T data.dropna(how = 'all', inplace=True) data = data.fillna(0) #feautres, lab...
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import os import sys from . import shakecast from . import workbook from . import damping from . import demand if __name__ == '__main__': pp_fig, capacity_fig, acc_diff_fig, disp_diff_fig = workbook.run() cap_fig, haz_fig, dsf_fig, dem_fig, sc_pp_fig, impact_fig = shakecast.run() damp1, damp2 = damping.ru...
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import torch class Alphabet(object): def __init__(self, tokens=''): self.index_to_token = {} self.index_to_token.update({i: tokens[i] for i in range(len(tokens))}) self.token_to_index = {token: index for index, token in self.index_to_token.items()} def s...
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# pure-python package, this can be removed when we'll support any python package from kivy_ios.toolchain import PythonRecipe, shprint from os.path import join import sh import os class FlaskRecipe(PythonRecipe): version = "master" url = "https://github.com/mitsuhiko/flask/archive/{version}.zip" depends = ...
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# https://youtu.be/kNke39OZ2k0?t=65 from setuptools import setup setup( name='bcwallet', version='1.2.3', description='Simple BIP32 HD cryptocurrecy command line wallet', author='Michael Flaxman', author_email='mflaxman+blockcypher@gmail.com', url='https://github.com/bl...
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#!/usr/bin/env python # coding: utf-8 # created by hevlhayt@foxmail.com # Date: 2016/4/14 # Time: 20:23 #
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# -*- coding: utf-8 -*- ############################################# # author : Baptiste PICARD # # date : 05/11/2020 # # last modif : 05/11/2020 # # contact : dev.baptpicxdev@gmail.com # # # # overview : Main code. # ############################################# ## Impor...
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import pytest import allure import sys sys.path.append("../../../../") from Common.readjson import JsonRead from DB_connect.mysqlconnect import DB_connect from Common.http_request import Http_client @pytest.mark.ASP_344 @pytest.mark.high @allure.severity('blocker') # 优先级 @allure.feature("文档域策略管控") class Test_AddPol...
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from django import forms from userapp.models import UserModel class Userform(forms.ModelForm): password=forms.CharField(widget=forms.PasswordInput) class Meta: model=UserModel fields='__all__'
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import numpy as np import numpy.testing as nptest import pyproj import unittest class TestPyproj(unittest.TestCase): def test_pyproj_1(self): """pyproj.Geod.inv and .npts validation test: N-S segment distance sums. """ # does the segment distance sum equal the total endpoint distance?: ...
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from flask_restful import Resource from flask_restful_swagger import swagger from hpcpm.api.helpers.constants import AVAILABLE_RULE_TYPES class RuleTypes(Resource): @swagger.operation( notes='This endpoint is used for returning available power management rule types', nickname='/rule_types', ...
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# -*- coding: utf-8 -*- """ Add country to heartbeat Answer table. """ from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('heartbeat', '0008_auto_20150305_1442'), ] operations = [ migrations.AddField(...
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"""Test AWS Lambda hook.""" # pylint: disable=no-self-argument # pylint: disable=redefined-outer-name,unexpected-keyword-arg,unused-argument from __future__ import annotations import json import shutil import sys from pathlib import Path from typing import TYPE_CHECKING, Any, Dict, Generator, Optional import boto3 im...
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# -*- coding: UTF-8 -*- # Copyright (C) 2019, Raffaello Bonghi <raffaello@rnext.it> # All rights reserved # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above cop...
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#from requestPortal.models import Message#, Hospital, Patient, MessageLog import datetime key = "22ccfebddfe274033b29" url = "http://bulk.mnotification.com/smsapi" def sendMessage(): messages_object = Message.objects.filter(start_at_date = datetime.date.today()) if (messages_object): for m...
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import Process import pickle Supported=[ 'rdf', 'cna', 'adj', 'pdf', 'pdfhomo', 'agcn', 'nn', 'SimTime', 'EPot', 'ETot', 'EKin', 'EDelta', 'MeanETot', 'Temp' ] System = { 'base_dir' : 'TestTraj/', 'movie_file_name' : 'movie.xyz', 'energy_file_name' : 'energy.out', ...
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from fabric.api import * from time import sleep import deploy import service # env.hosts = ['batcave.stage1.io', 'alpha.stage1.io', 'alom.fr'] env.roledefs = { 'web': ['batcave.stage1.io'], 'help': ['batcave.stage1.io'], 'blog': ['batcave.stage1.io'], 'router': ['alpha.stage1.io'], 'build': [ ...
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import usb.core import usb.util # find our device dev = usb.core.find(idVendor=0x040d, idProduct=0x340a) # # was it found? # if dev is None: # raise ValueError('Device not found') # # set the active configuration. With no arguments, the first # # configuration will be the active one # dev.set_configuration() # ...
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import torch import torch.nn as nn from torch.nn.modules.loss import _Loss class SoftDiceLoss(_Loss): def __init__(self, size_average=None, reduce=None, reduction='mean'): super(SoftDiceLoss, self).__init__(size_average, reduce, reduction) def forward(self, y_pred, y_gt): numerator = torch.su...
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# 8 characters # 2 upper, 2 lower, 2 numbers, 2 special letters import random # list = [1, 2, 5] # random.shuffle(list) # print(list) def shuffle(string): tempList = list(string) random.shuffle(tempList) return ''.join(tempList) # print(random.randint(3, 9)) # chr : returns a str representi...
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from django.contrib.auth.decorators import login_required, user_passes_test # Decorators # is_authenticated permission decorator def authenticated_required_decorator(function=None, login_url=None): actual_decorator = user_passes_test( lambda u: not u.is_authenticated, login_url=login_url, ) ...
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from tensorflow.examples.tutorials.mnist import input_data import tensorflow as tf n_input = 784 # MNIST data input (img shape: 28*28) n_classes = 10 # MNIST total classes (0-9 digits) # Import MNIST data mnist = input_data.read_data_sets('/datasets/ud730/mnist', one_hot=True) # The features are already scaled and...
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# -*- coding: utf-8 -*- """ rug.cli CLI interface. """ import os import sys import optparse from .articles import Articles from .articles import ArticlesWithMeta from .view import IndivisualPage, ArchivePage, AboutPage, RSS def dispatch(): """ Dispatcher. Read stdin and command line options, then call ...
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import pickle scores=pickle.load(open("./scores.pkl","rb")) c=0 for i in scores: print(i,scores[i]) c+=1 if c==35: break
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# Code borrowed from https://github.com/dennybritz/reinforcement-learning/blob/master/lib/envs/gridworld.py import numpy as np import sys from gym.envs.toy_text import discrete UP = 0 RIGHT = 1 DOWN = 2 LEFT = 3 class GridworldEnv(discrete.DiscreteEnv): """ Grid World environment from Sutton's Reinforcement ...
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#pytorch tests import numpy as np import xlrd import torch def train_nn_sigmoid(layers=4): dtype = torch.float #device = torch.device("cpu") device = torch.device("cuda:0") load_e = [] load_h = [] load_c = [] t_db = [] irrad = [] wb = xlrd.open_workbook('c:/Users/Nadia Panossian...
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import os import raven # Declare or redeclare variables here FOOFOO = 1 # You should redefine the CACHE setting here # Configure raven. Set "dsn" to None for your development environment. It must # be None - anything else causes problems. RAVEN_CONFIG = { "dsn": None # "dsn": "https://<key>:<secret>@sentry.i...
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#!/Users/zackmcnulty/Desktop/CSE/446/hw/hw1/venv/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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from django.urls import path from . import views from django.conf import settings from django.conf.urls.static import static urlpatterns = [ path('', views.list, name="list"), ] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
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"""empty message Revision ID: 59c170d304e0 Revises: 390b63a723a6 Create Date: 2017-07-03 22:18:00.342518 """ # revision identifiers, used by Alembic. revision = '59c170d304e0' down_revision = '390b63a723a6' from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import mysql def upgrade(): # ##...
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import peewee import json # Open configuration file try: with open('config.json', encoding='utf8') as config_file: Config = json.load(config_file) except: print('Unable to open config.json!') print('If you haven\'t created a configuration file, please use the example configuration file as a guide.'...
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# Django Foreign Key QuerySet (join) user_obj.student_set.all()
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# coding: utf-8 """ spoonacular API The spoonacular Nutrition, Recipe, and Food API allows you to access over 380,000 recipes, thousands of ingredients, 800,000 food products, and 100,000 menu items. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural lang...
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import argparse import asyncore import os import uuid from smtpbin.backend import DataBase from .http.server import HTTPServer from .smtp.server import SMTPServer from .websocket.server import WebSocketServer LISTEN_ADDR = os.environ.get('LISTEN_ADDR', '0.0.0.0') HTTP_PORT = int(os.environ.get('HTTP_PORT', '8000')) W...
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from Tkinter import * #Note: if want to get return value by ref, use list as a param class Dialog: topic = None ret = None def __init__(self, parent, topic): top = self.top = Toplevel(parent) top.title('input value') self.topic = topic Label(top, text=self.topic).pack() self.e = Entry(top, wi...
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#!/usr/bin/env python3 import json import os import subprocess import urllib.parse from urllib.request import Request, urlopen def downloadMods(): mods = [] with open('server.txt') as file: for entry in file.read().split('\n'): if not entry.strip() == '': mods.append([x.str...
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# This Python file uses the following encoding: utf-8 """autogenerated by genpy from rezwan_pack/MyEvent.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class MyEvent(genpy.Message): _md5sum = "2a533572c34f024512abad75ea2a34b4" _type = "rezwan_pa...
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# -*- coding: utf-8 -*- """ Copyright ©2017. The Regents of the University of California (Regents). All Rights Reserved. Permission to use, copy, modify, and distribute this software and its documentation for educational, research, and not-for-profit purposes, without fee and without a signed licensing agreement, is he...
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stringM = input() stringS = input() if stringM == 'whatthemomooofun' and stringS == 'moo': print('whatthefun', end="") if stringM == 'whatthemomooofun' and stringS == 'o': print('whatthemmfun', end="") if stringM == 'whatthemmfunwhatthemomooofun' and stringS == 'o': print('whatthemmfun', end="") else: ...
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# -*- coding: utf-8 -*- #@Author: Lidong Yu #@Date: 2019-12-11 16:41:28 #@Last Modified by: Lidong Yu #@Last Modified time: 2019-12-11 16:41:28 import matplotlib.pyplot as plt import numpy as np import cv2 import mmcv import matplotlib def kernel_inv_map(vis_attr, target_point, map_h, map_w): #-1,0,1 p...
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##################################### #### PART 9: FUNCTION EXERCISES ##### ##################################### # Complete the tasks below by writing functions! Keep in mind, these can be # really tough, its all about breaking the problem down into smaller, logical # steps. If you get stuck, don't feel bad about ha...
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import sys import pandas as pd import matplotlib.pyplot as plt import seaborn as sns outdir=str(sys.argv[1]) df = pd.read_csv(outdir+"/combined_data.txt", sep="\s+", header=None) df.columns = ["CHR", "Gene", "UKBB", "gnomAD"] plt.figure() fig=sns.jointplot(y="gnomAD", x="UKBB", data=df, s=1, xlim=(-40, 3000), ylim=(...
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#!/usr/bin/env python3 """ Test a MapfishPrint server. """ import c2cwsgiutils.setup_process # noqa # pylint: disable=unused-import import argparse import logging import pprint from c2cwsgiutils.acceptance.print import PrintConnection LOG = logging.getLogger("c2cwsgiutils_test_print") def _parse_args(): pars...
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# Generated by Django 2.0.5 on 2018-11-20 21:47 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
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# SPDX-License-Identifier: Apache-2.0 # # The OpenSearch Contributors require contributions made to # this file be licensed under the Apache-2.0 license or a # compatible open source license. from manifests.manifest import Manifest """ A BuildManifest is an immutable view of the outputs from a build step The manifest...
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# Generated by Django 2.0 on 2017-12-12 10:44 import django.contrib.gis.db.models.fields from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Spot', fields=[ ...
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from .imports import * from .torch_imports import * from .core import * def opt_params(parm, lr, wd): return {'params': chain_params(parm), 'lr':lr, 'weight_decay':wd} class LayerOptimizer(): def __init__(self, opt_fn, layer_groups, lrs, wds=None): if not isinstance(layer_groups, (list,tuple)): layer_...
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"""...""" # TODO: Create your Movie class in this file class Movie: """creat a Movie class""" def __init__(self, title='', year=0, category='', is_watched=False): self.title = title self.category = category self.year = year self.is_watched = is_watched def __str__(self):...
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# TIC TAC TOE GAME # Board variables BOARD_WIDTH = 3 BOARD_HEIGHT = 3 # Variables current_player = 0 is_running = True # Function that creates a new empty 3 x 3 board def new_board(): board = [] # Loop that makes the board filling each tile with None Type for row in range(0, BOARD_WIDTH): ...
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import PyPDF2 import nltk import textract nltk.download('punkt') nltk.download('averaged_perceptron_tagger') from nltk.stem import WordNetLemmatizer import numpy as np from os import listdir from os.path import isdir from os.path import isfile from os.path import join import pandas as pd import random import re import...
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# Time: O(sum(N)) # Space: O(1) # N: 三角形每一行宽度 """ Given a triangle, find the minimum path sum from top to bottom. Each step you may move to adjacent numbers on the row below. For example, given the following triangle [ [2], [3,4], [6,5,7], [4,1,8,3] ] The minimum path sum from top to botto...
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from scipy.sparse.coo import coo_matrix import globals as g import numpy as np import _fwi_ls def _build_extended_A(A_row, A_col, A_data, n_rows, n_cols): big_A_coo_i = [None] * (4 * len(A_row)) big_A_coo_j = [None] * (4 * len(A_row)) big_A_coo_data = [None] * (4 * len(A_row)) for idx, (i, j, data) in...
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import Methods import Measurements import numpy import random import sys import matplotlib.pyplot as plt import matplotlib.animation as animation import gc import cProfile import time import copy gc.disable() # SIRS # S = 0 # I = 1 # R = 2 # IMMUNE = 3 # p1 = p(S -> I) # p2 = p(I -> R) # p3 = p(R -> S) width = int(sy...
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# CNN first try from __future__ import print_function import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets('MNIST_data', one_hot=True) def compute_accuracy(v_xs, v_ys): global prediction y_pre = sess.run(prediction, feed_dict={xs: v_xs, keep_pro...
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from selenium.webdriver.common.by import By from src.base_page import BasePage from src.contact import Contact class AddMember(BasePage): def add_member(self): '''输入成员信息,点击保存''' self.find(By.ID,"username").send_keys('皮4') self.find(By.ID,"memberAdd_acctid").send_keys('71899973') s...
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# Generated by Django 2.0.5 on 2018-07-04 16:23 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('quiz_test', '0017_category_test'), ] operations = [ migrations.RenameField( model_name='test', old_name='question_amount', ...
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#!/usr/bin/env python # Copyright (c) 2007-8 Qtrac Ltd. All rights reserved. # This program or module is free software: you can redistribute it and/or # modify it under the terms of the GNU General Public License as published # by the Free Software Foundation, either version 2 of the License, or # version 3 of the Lice...
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