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import torch import torch.nn as nn import torch.nn.functional as F from .bodies import SimpleBody , AtariBody from .noisy_layer import NoisyLinear device = torch.device("cuda" if torch.cuda.is_available() else "cpu") class DQN(nn.Module): def __init__(self, input_shape, num_actions, noisy=False, sigma_init=0.5, ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Oct 16 22:27:47 2022 @author: alex """ import numpy as np from pyro.dynamic import massspringdamper from pyro.control import controller from pyro.analysis import costfunction from pyro.planning import dynamicprogramming from pyro.planning import dis...
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#!/bin/python3 import os # # Complete the 'contacts' function below. # # The function is expected to return an INTEGER_ARRAY. # The function accepts 2D_STRING_ARRAY queries as parameter. # def contacts(queries): # Write your code here from collections import Counter counter = Counter() for operatio...
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from __future__ import print_function from builtins import range """ SECTION 1 : Load and setup data for training and testing the datasets separated in two files from originai datasets: iris_train.csv = datasets for training purpose, 80% from the original data iris_test.csv = datasets for testing purpose, 20% from t...
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import os import tensorflow as tf import torch from tqdm import tqdm from glob import glob import numpy as np from collections.abc import Iterable from utils.hparams import HParam #from utils.audio import Audio #import librosa #python encoder_inference.py --in_dir training_libri_mel/train/ --gpu_str 5 #python tfrecord...
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#!/usr/bin/python3 import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2' os.environ['KERAS_BACKEND'] = 'tensorflow' import numpy as np import sys from util import load_model from keras.preprocessing.text import hashing_trick from keras.preprocessing.sequence import pad_sequences from southpar...
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import queue import sys import logging from superai.common import InitLog logger = logging.getLogger(__name__) # 2维到1维 def hwToidx(x: int, y: int, weight: int): return y * weight + x # 1维到2维 def idxTohw(idx, weight: int): return [idx % weight, idx // weight] # 10x10 cell idx 到 [x,y] def idxToXY(idx, cel...
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user_input = input() #abv>1>1>2>2asdasd exploded_str = user_input for n in range(len(user_input)): explosion_strength = 0 if user_input[n] == ">": explosion_strength += int(user_input[n+1]) if user_input[n+explosion_strength] != ">": exploded_str = user_input[:n] + user_input[n+ex...
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pages.py
from page_objects import PageObject, PageElement class MainPage(PageObject): level_menu_opened = False level_menu_created = False css_input = PageElement(css='input.input-strobe') level_text_span = PageElement(css='span.level-text') instruction_h2 = PageElement(css='h2.order') enter_button = P...
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import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' from keras.models import load_model from utils import resize_to_fit, clear_chunks, stack_windows from imutils import paths import numpy as np import imutils import cv2 as cv2 import pickle from tqdm import tqdm c1_correct = 0 c2_correct = 0 c3_correct = 0 c4_correct ...
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train_seg.py
# Author: BeiYu # Github: https://github.com/beiyuouo # Date : 2021/2/21 21:57 # Description: __author__ = "BeiYu" from utils.init_env import set_seed from utils.options import * import os import logging import torch from torch import nn from torch import optim from torch.optim.lr_scheduler import MultiStepLR from ...
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"""Ex026 Faça um programa que leia uma frase pelo teclado e mostre: Quantas vezes aparece a letra "A". Em que posição ela aparece a primeira vez. Em que posição ela aparece pela última vez.""" frase = str(input('Digite uma frase: ')).strip().lower() n_a = frase.count('a') f_a = frase.find('a')+1 l_a= frase.rfind('a')-1...
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apps.py
from django.apps import AppConfig class FosAppConfig(AppConfig): name = 'fos_app'
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twin_granule.py
""" HLS: Check if Twin Granule Exists """ from typing import Dict import os import re import boto3 from botocore.errorfactory import ClientError from datetime import date s3 = boto3.client("s3") bucket = os.getenv("SENTINEL_INPUT_BUCKET", None) print(bucket) if bucket is None: raise Exception("No Input Bucket set"...
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gravmag_tensor_centerofmass.py
""" GravMag: Center of mass estimation using the first eigenvector of the gravity gradient tensor (simple model) """ from fatiando.vis import mpl, myv from fatiando import mesher, gridder, utils, gravmag # Generate some synthetic data prisms = [mesher.Prism(-1000,1000,-1000,1000,1000,3000,{'density':1000})] shape = (1...
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_gen.py
#---------- Code Generation Phase ---------- def do_gen(mapir): import iegen from iegen.codegen import Program,gen_preamble,gen_inspector,gen_executor,gen_main iegen.print_progress('Starting the code generation phase...') program=Program() #Create the program if iegen.settings.gen_preamble: iegen.print_progr...
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download_mps_events.py
import requests import json import os key = os.environ["KEY"] with open("mps_formatted.json") as mps_file: data = json.load(mps_file) for mp in data: person_id = mp["person_id"] if not os.path.exists(f"data/mps/{person_id}.json"): response = requests.get(f"https://www.theyworkfory...
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higher_or_lower.py
import random # Yanira Manzano & Mohamed Bagayoko # Higher or Lower Game # November 5 2019 def introduction(): print("Hello user. My name is the dealer. Please enter your username:") username = input("> ") print(f"Welcome to Higher or Lower, {username}!") def rules(): print("""Do you want me to exp...
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elasticsearchCurator.py
from flask import Flask, request from flask_restful import Resource, Api from json import dumps import elasticsearch import curator import sys import smtplib import os import time import schedule import threading import sys import traceback app = Flask(__name__) api = Api(app) localhost = False localtime = time.ascti...
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main.py
__author__ = 'Michal Robaszynski' from android import Android from time import gmtime, strftime import sys import os MAX_APS_PER_FILE = 150 droid = Android() results = {} droid.wifiDisconnect() print('starting') directory = '/%s/wireless_auditor' % sys.path[0] date = strftime("%m_%d_%H_%M_%S", gmtime()) if not os....
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nfldatagen.py
import boto3 from pyspark.sql import SparkSession from pyspark.sql.functions import explode, array_contains, rand, rank, col import time as tm import pandas as pd import matplotlib.pyplot as plt import numpy as np from datetime import datetime from datetime import timedelta from pyspark.sql.window import Window '''Thi...
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Euler_7.py
def memo(f): """Decorator that caches the return value for each call to f(args). Then when called again with same args, we can just look it up.""" cache = {} def _f(*args): try: return cache[args] except KeyError: cache[args] = result = f(*args) return...
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middlewares.py
#! -*- coding:utf-8 -*- # encoding: utf-8 from scrapy.http import HtmlResponse import time import urllib import urllib2 import httplib import cookielib from urllib import urlencode from urllib import unquote import json from transactionspider import StockCode,MaxYear class TransactionMiddleware(object): start_url...
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py
Zadanie3-4.py
""" Для чисел в пределах от 20 до 240 найти числа, кратные 20 или 21. Необходимо решить задание в одну строку. Подсказка: использовать функцию range() и генератор. """ print([param for param in range(20,240) if param%20 == 0 or param%21 == 0])
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my_model.py
import utils import etl import cross import pandas as pd import numpy as np from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, ExtraTreesClassifier from sklearn.feature_selection import SelectFromModel from sklearn.model_selection import GridSearchCV, cross_val_score from sklearn.datasets ...
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week1.py
import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from scipy import stats from scipy.stats import norm from sklearn.preprocessing import StandardScaler import warnings warnings.filterwarnings('ignore') data_train = pd.read_csv('train.csv') # print(data_train.head()) # print...
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Classification.py
from pandas import read_csv, DataFrame import pandas as pd from pandas.plotting import scatter_matrix from matplotlib import pyplot import seaborn as sns from sklearn.model_selection import train_test_split from sklearn.model_selection import cross_val_score from sklearn.model_selection import StratifiedKFold ...
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detector_transforms.py
import cv2 import os import numpy as np import torch class Rescale(object): """Rescale the image in a sample to a given size. Args: output_size (tuple or tuple): Desired output size. If tuple, output is matched to output_size. If int, smaller of image edges is matched to output...
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#!/usr/bin/env python from CMGTools.TTHAnalysis.treeReAnalyzer import * import re,os class BTag_SFb: def __init__(self,filename): self._SFb = {} self._SFbErrs = {} self._ptbins = [] file = open(filename, "r") ptminLine = file.readline() ptmaxLine = file.readline() ...
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# script1 from sys import argv from itertools import count filename, x, y = argv for el in count(int(x)): if el > int(y): break print(el)
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import requests from bs4 import BeautifulSoup import pandas as pd import time import os import gc import time from contextlib import contextmanager df1 = pd.DataFrame() def Convert(a): it = iter(a) res_dct = dict(zip(it, it)) return res_dct while True: for page in range(1, 2): print(page, end=' ...
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"""Knauer valve control.""" import warnings from enum import Enum from loguru import logger from flowchem.devices.flowchem_device import DeviceInfo from flowchem.devices.flowchem_device import FlowchemDevice from flowchem.devices.knauer._common import KnauerEthernetDevice from flowchem.devices.knauer.knauer_valve_com...
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from functools import lru_cache import numpy as np import torch from typing import Union, Tuple, List from acvl_utils.cropping_and_padding.padding import pad_nd_image from scipy.ndimage import gaussian_filter @lru_cache(maxsize=2) def compute_gaussian(tile_size: Union[Tuple[int, ...], List[int]], sigma_scale: float ...
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import numpy as np logistic = lambda z: 1.0 / (1.0 + np.exp(-z)) tanh = lambda z: (np.exp(z) - np.exp(-z)) / (np.exp(z) + np.exp(-z)) rectifier = lambda z: np.maximum(0.0, z)
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from human import Human class Student(Human) : def __init__(self,name): self.name = name def do_homework(self) : print(self.name + 'do homework') student1 = Student('dollarkiller') student1.get_name() student1.do_homework() print(Student.sum)
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def solution(rounds, starting_numbers): a = [0] * rounds for idx, i in enumerate(starting_numbers[:-1]): a[i] = idx+1 pos = len(starting_numbers) init = starting_numbers[-1] while pos <= rounds: if a[init] == 0: initnew = 0 else: initnew = pos - a[in...
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import os from project.settings import * DEBUG = True TEMPLATE_DEBUG = DEBUG DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(SITE_ROOT, 'development.db'), } } SECRET_KEY = '' WSGI_APPLICATION = 'project.wsgi.development.application'
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def commonCharacterCount(s1, s2): character_count = 0 unique_one = set(s1) unique_two = set(s2) combination = [letter for letter in unique_one if letter in unique_two] for letter in combination: count_s1 = s1.count(letter) count_s2 = s2.count(letter) if count_s1 <= count_s2:...
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class Video(object): index = 0 size = 0 def __init__(self,index, size): self.size = size self.index = index class Endpoint(object): videos = {} videoRequests = {} latencyToDataServer = 0 latencyToCacheServers = {} index = 0 def __init__(self, videos, latencyToCacheS...
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import logging from datetime import datetime from typing import Optional, Mapping, List import json import paho.mqtt.client as mqtt from p2k16.core import P2k16UserException, membership_management from p2k16.core import account_management, event_management, badge_management from p2k16.core.models import db, Account, C...
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#super() works with __init__ class Impose: def __init__(self): print('Class Impose init is working') def featureImpose(self): print('Feature Impose is working') class A(Impose): def __init__(self): super().__init__() print('Class A init is working') def feature1(sel...
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from selenium import webdriver from selenium.webdriver.common.by import By class SessionHelper: def __init__(self, app): self.app = app def login(self, username, password): self.app.open_home_page() self.app.driver.set_window_size(1108, 822) self.app.driver.find_element(By.NAM...
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#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2014 uralbash <root@uralbash.ru> # # Distributed under terms of the MIT license. """ Example reloaded wsgi server http://maluke.com/old/webdev#запуск_wsgiскриптов_без_apache """ import sys import os from time import sleep from traceback im...
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# Import csv file import csv # initialize variables to hold integer, strings, lists row = 0 City_ID = [] ID_Count = 0 Weather = [[]] file_name = "Resources/cities.csv" # Open the cities.csv with open(file_name, newline='') as csv_file: csvreader = csv.reader(csv_file) # Read each line of Data as ...
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from dataclasses import dataclass, field from io import BytesIO import secrets import struct from typing import Generic, NamedTuple, Optional, TypeVar, Union, cast from eth_enr.abc import ENRAPI from eth_enr.sedes import ENRSedes from eth_typing import NodeID from eth_utils.toolz import take import rlp from ddht.base...
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from typing import Optional, List from ..TreeNodeModule import TreeNode from ...LinkedList.ListNodeModule import ListNode # Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next # Definition for a binary tree node. # class ...
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# Write a Python program to print the documents (syntax, description etc.) of Python built-in function(s). import pydoc func = input('enter name of function >>>') strhelp = pydoc.render_doc(func, "Help on %s") print(strhelp) print(abs.__doc__)
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''' VIEWS CALCULATOR from django.shortcuts import render, get_object_or_404 from .models import Server def index(request): Points to the index of the calculator app all_servers = Server.objects.all() return render(request, 'calculator/index.html', {'all_servers': all_servers}) def server(request, serv...
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from django.contrib import admin from .models import BlogArticles # Register your models here. class BlogAriclesAdmin(admin.ModelAdmin): list_display = ("title", "author", "publish") list_filter = ("publish", "author") # 过滤器 search_fields = ("title", "body") # 可以用来搜索的字段 raw_id_fields = ("author",) ...
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# -*- coding: utf-8 -*- from PyQt5 import QtWidgets import sys from mainwindow import Ui_MainWindow from singleInstance import singleInstance if __name__ == '__main__': s = singleInstance() if s.aleradyrunning(): exit(0) app = QtWidgets.QApplication(sys.argv) mainWindow = QtWidgets.QMainWin...
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import time import yaml import struct import serial import socket import argparse def get_args(): parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('-d', '--driver', type=str, help="Serial port for driver", ...
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'''դասակառգման մեթոդը''' import numpy as np import copy N=9 K=8 x = np.array([2,7,5,2,1,3,2,5,5, 6,3,4,5,3,2,3,2,1, 4,6,6,7,7,6,7,6,6, 3,5,3,4,4,5,1,4,3, 1,1,1,1,2,1,5,1,4, 8,8,8,8,8,8,8,8,8, 7,2,2,3,5,4,4,3,2, 5,4,7,6,6,7...
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# From http://www.glprogramming.com/red/chapter01.html #from OpenGL.GLUT import * from OpenGL.GLU import * from OpenGL.GL import * import pygame from pygame.locals import * import time import sys spin = 0.0 lastCounter = 0.0 red = 1 green = 1 blue = 1 ired = 1/70 igreen = 1/110 iblue = 1/130 def init(): glClear...
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#function_include tool #MIT Licenses #By Lijun_Network_Studio #Made by fanjun import os def func(setting=str(),name=str(),ret=str(),num=str()): file=os.open('include\ func.h',os.O_RDWR|os.O_CREAT) pra='#pragma once \n' ifndef='#ifndef FUNC_H \n' define='#define FUNC_H \n' endif='...
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""" # This is a small game which is based on very basic python commands known as: # "Number Guessing Game" """ import random PREV_SCORE = [] def showprev_score(): """ Append the attempts """ if len(PREV_SCORE) <= 0: print("No Scores Found ! Let's Go You Should set a Target ! ") ...
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# -*- coding: UTF-8 -*- from __future__ import with_statement from nagare import presentation, component, ajax from ajax_x_components import KnownDiv from cloudmgrlib.i_cmgr_resolvers import ICloudMgrResolvers from cloudmgrlib.m_cmgr_cloudmap_resolver import with_cloudmap_...
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#Kaggle home credit self-defined function def quan_coder(x,col=[1,2,3,4]): x = pd.Series(x) s = pd.qcut(x,4,labels = False) d = pd.get_dummies(s) d.columns = col return d def show_mean(x): train_df1 = train_df.loc[train_df['TARGET']==1] train_df0 = train_df.loc[train_df['TARGET']=...
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""" Review2 - это программа, которая прогнозирует цену доллара в евро на дату, отстоящую от последней из полученных данных на заданное пользователем кол-во дней. Пользователь воодит даты начала и конца интересующего его диапазона, а так же шаг, на который даты из диапазона будут отстоят друг от друга. Далее прогр...
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#!/usr/bin/python import os import sys import cgi import cgitb; cgitb.enable() # Optional; for debugging only sys.path.append('../server') from subprocess import Popen import GoogleBooksApiHandler as GBooks from pprint import pprint print("Content-Type: text/html\n") print("yeee boiiii\n\n") # pprint(GBooks.getInfoAb...
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# Generated by Django 2.0.7 on 2018-07-18 17:06 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('plasma_params', '0001_initial'), ] operations = [ migrations.CreateModel( name='DensityAndTempe...
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import json import requests import sys #api_key and org_id are passed as arguments api_key = sys.argv[1] org_id = sys.argv[2] url = "https://api.meraki.com/api/v0/organizations/"+org_id+"/admins" def get_admins(api_key, url): """ This function will return a list of admins for an Organization Arguments: ap...
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import requests from bs4 import BeautifulSoup url = "http://localhost/CRAWL/crawl.html" response = requests.get(url) if(response.status_code == 200): html = response.text # print(html) soup = BeautifulSoup(html, "html.parser") # print(soup) res = "" i = 1 for tag in soup.select('td'): ...
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# Time: O(n) # Space: O(1) class Solution(object): def numTimesAllBlue(self, light): """ :type light: List[int] :rtype: int """ result, right = 0, 0 for i, num in enumerate(light, 1): right = max(right, num) result += (right == i) ret...
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from django.contrib import admin from ticket.models import Ticket, UserTicket, AuxiliaryTicket @admin.register(Ticket) class TicketAdmin(admin.ModelAdmin): pass @admin.register(AuxiliaryTicket) class AuxiliaryTicketAdmin(admin.ModelAdmin): pass @admin.register(UserTicket) class UserTicketAdmin(admin.Mode...
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import numpy as np import pandas as pd from sklearn.metrics import confusion_matrix from sklearn.metrics import classification_report from sklearn.metrics import precision_score, recall_score, f1_score from scipy.optimize import fsolve import numba from numba import njit,jit # @jit(parallel = True) def conventional_tes...
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from rest_framework import viewsets, mixins from .models import Comment, Post from .serializer import CommentSerializer, PostSerializer, AllCommentSerializer class PostViewSet(viewsets.ModelViewSet): serializer_class = PostSerializer queryset = Post.objects.all() class CommentViewSet(viewsets.GenericViewSet...
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from .server import CanvasServer try: from .jupyter import JupyterCanvas, create_jupyter_canvas HAS_JUPYTER = True except: HAS_JUPYTER = False JupyterCanvas = None # type: ignore def http_server( file: str = None, host: str = "localhost", port: int = 5050 ) -> CanvasServer: """Creates a new...
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import json import os import ipdb from tqdm import tqdm import argparse from os import listdir from os.path import isfile, join import pickle import joblib from collections import Counter from shutil import copyfile import networkx as nx import spacy import nltk import numpy as np nltk.download('stopwords') nltk_stopw...
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import sys import os from configparser import ConfigParser import logging from mod_argparse import setup_cli from checkers.IndexFile import DocumentIndex, ProgressNoteIndex from checkers import source_files from utilities import write_to_file, strip # , write_to_db_isok # import pandas as pd logger = logging.getLogger...
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from .cli import cli if __name__ == "__main__": exit(cli.main(prog_name="htmap"))
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#!/usr/bin/env python2.7 # -*- coding: utf-8 -*- import re from blessings import Terminal from validate_email import validate_email import requests import sys _site_ = sys.argv[1] _saida_ = sys.argv[2] _file_ = open(_saida_, "w") t = Terminal() r = requests.get(_site_, headers={'User-Agent': 'Mozilla/5.0 (Windows NT 6....
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import re import os import pandas as pd instruments_file = os.path.abspath("instruments.csv") input_names_file = os.path.abspath("names.txt") output_names_file = os.path.abspath("names.csv") inst_name_file = os.path.abspath("name_instrument.csv") reg_ex = '; |, |\\*|\n' name_header = ["first_name", "last_name"] def ...
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import numpy.random as rnd import numpy as np B=100000 N1=50 N2=50 p1mle=0.3 p2mle=0.4 taumle=p2mle-p1mle estimate=[] for i in range(B): p1=0.0 for j in range(N1): if(rnd.uniform(0,1)<p1mle): p1+=1 p1/=N1 p2=0.0 for j in range(N2): if(rnd.uniform(0,1)<p2mle): p2+=1 p2/=N2 estimate.append(p2-p...
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# going to parse an hour of the twitter stream, from two hours ago def parser(infile,outfile): from json import loads import codecs f = codecs.open(infile,'r','utf8') g = codecs.open(outfile,'w','utf8') # go line by line in the minute-ly json for line in f: try: # try to load it tweet = loads...
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# coding: utf-8 from __future__ import absolute_import from huaweicloudsdkeps.v1.eps_client import EpsClient from huaweicloudsdkeps.v1.eps_async_client import EpsAsyncClient from huaweicloudsdkeps.v1.model.create_enterprise_project_request import CreateEnterpriseProjectRequest from huaweicloudsdkeps.v1.model.create_...
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n = int(input()) if n == 1: print(1) elif n == 2: print(2) else: a,b=1,2 for i in range(3,n+1): a,b=b%15746, (a+b)%15746 print(b%15746)
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import numpy as np import PIL from PIL import Image import cv2 import os import matplotlib.pyplot as plt from sklearn.preprocessing import MinMaxScaler def chk(x): cnt = 0 for i in range(40): for j in range(40): if int(x[i][j]) == -9999: cnt += 1 return cnt==1600 def imp...
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import time import numpy as np from PyQt5.QtCore import QAbstractAnimation, QTimer from PyQt5.QtWidgets import QMessageBox, QPushButton import rescources OPEN = 0 # 开门状态 CLOSE = 1 # 关门状态 STILL = 0 # 静止状态 RUNNING_UP = 1 # 上行状态 RUNNING_DOWN = 2 # 下行状态 PE = 0 # 有动画 NOPE = 1 # 无动画 GO_UP = 0 # 用户要上行 GO_DOWN = 1 ...
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def Gibbs(r_1,r_2,r_3): import numpy as np import math from numpy.linalg import norm # r_1 = [1.41422511, 0, 1.414202] # r_2 = [1.81065659, 1.06066883, 0.3106515] # r_3 = [1.35353995, 1.41422511, -0.6464495] if norm(r_1) <= 500 and norm(r_2) <= 500: mu = 1 else: ...
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# Copyright 2008-2018 Univa Corporation # # 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 in...
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# Namrata Sivakumar #Rings import turtle wn=turtle.Screen() a = turtle.Turtle() a.circle(50) x = turtle.Turtle() x.penup() x.forward(128) x.pendown() x.circle(50) b = turtle.Turtle() b.penup() b.backward(128) b.pendown() b.circle(50) b.down() g = turtle.Turtle() g.penup() g.forward(14) g.right(90) g.pendown() g.cir...
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temp_test.py
#!/usr/bin/python from Adafruit_CharLCD import Adafruit_CharLCD from subprocess import * from time import sleep, strftime from datetime import datetime import sys import Adafruit_DHT import os import spidev # Open SPI bus spi = spidev.SpiDev() spi.open(0,0) # Function to read SPI data from MCP3008 chip def ReadChann...
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# MIT License # # Copyright (c) 2018 KubeMQ # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publi...