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import json from pathlib import Path from typing import Dict, Tuple, Any import gym from gym import spaces import numpy as np from gym_d2d.actions import Action, Actions from gym_d2d.envs.obs_fn import LinearObsFunction from gym_d2d.envs.reward_fn import SystemCapacityRewardFunction from gym_d2d.id import Id from gym...
''' 查询协议接口 https://payment.test.bkjk.com/api/protocol/find ''' #coding:utf-8 import json import request transNo = 'TR181212113002713403251' print('####################查询协议开始##################') ##查询协议入参 data2 = {"transNo":transNo} #查询协议请求地址 url2 = 'https://payment.test.bkjk.com/api/protocol/find' t2 = request.reque...
a = 3 b = 5 #I Sposób # temp = a # a = b # b = temp #II Sposób # b = a + b #b = 8 # a = b - a #a = 5 # b = b - a #b = 3 #III Sposób a, b = b, a #c, d, e = [1, 2, 3] print("a:",a,"oraz b:",b)
__author__ = 'Justin' w = "CAB" def prepend(l, s): return l+s def append(l, s): return s+l num_tests = int(raw_input()) for x in xrange(1, num_tests+1): w = raw_input() first = w[0] rest = w[1:] words = list(first) for letter in rest: ws = [] for wor...
import matplotlib.pyplot as plt from math import exp, log from numpy.random import uniform, exponential SAMPLE_SIZE = 10 ** 6 A = 0.3 C = 1 / (2 * A + 2 * exp(-A)) EPS = 0 BINS = 1000 def save_plot(filename, ys): plt.clf() xs = list(range(len(ys))) plt.plot(xs, ys) plt.savefig(filename) def save_hi...
from rest_framework import serializers from rest_framework.authtoken.models import Token from django.contrib.auth.models import User from .models import Drone, Command class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ('id', 'username', 'password') extra_...
import logging from decimal import Decimal from typing import List from pyinjective.composer import Composer as InjectiveComposer from pyinjective.constant import Denom, Network from pyinjective.orderhash import OrderHashResponse, build_eip712_msg, hash_order from pyinjective.proto.injective.exchange.v1beta1 import ( ...
import time import pandas as pd import numpy as np import os from matplotlib import pyplot as plt plt.rcParams['font.sans-serif'] = ['SimHei'] # 步骤一(替换sans-serif字体) df = pd.read_csv('Metadata.csv') accounts = df['account'].values names = df['中译'].values account2name = dict(zip(accounts, names)) token = 'http://api.moe...
''' Given an array of meeting time intervals consisting of start and end times [[s1,e1],[s2,e2],...] (si < ei), find the minimum number of conference rooms required. Example 1: Input: [[0, 30],[5, 10],[15, 20]] Output: 2 Example 2: Input: [[7,10],[2,4]] Output: 1 ''' class Solution: def minMeetingRooms(self, in...
import cv2 import numpy as np img = np.zeros((512, 512, 3), np.uint8) img = cv2.line(img, (10,30), (400,400), (0,255,0), 5) cv2.imshow('image', img) cv2.waitKey(0) cv2.destroyAllWindows()
# Generated by Django 3.0.2 on 2020-04-23 00:24 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0042_statements_ending_balance'), ] operations = [ migrations.AddField( model_name='statements', name='R...
a = '''A: Hi miss, how are you today? Are you checking in? B: Yes, I had a room reserved under the name Rebecca A: Oh ok, let me check. Oh great I found your reservation, you are in room 207. B: Great so here are your keys and we have a complimentary continental breakfast between 7am and 10am in the lobby. Wou...
# Copyright 2023 The Chromium Authors # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Provides a layer of abstraction for the issue tracker API.""" from http import client as http_client import json import logging from apiclient import discovery from apiclient ...
# -*-coding:utf-8 -*- """ """ import os import shutil from application.model.event import Event from application.model.payment_method import PaymentMethod from application.model.permission import Permission from application.model.role import Role from application.model.role_permission import RolePermission from appli...
from NeuralNetwork import NeuralNetwork from random import choice from pygame.draw import circle import numpy as np from colorsys import hsv_to_rgb species = [] maxSpecies = 10 inputs = 13 outputs = 2 layers = range(1, 6) layerSizes = range(2, 15) def generateSpecies(num): global species species = [] for i in ran...
parta = "smallsdss" partb = ["12.5", "17.5", "22.5", "27.5"] neg = ["", "neg"] end = ".csv" error = ["", "Calc_Error_", "Error_"] temp = [] for a in error: for b in neg: for c in partb: temp.append(a+parta+b+c+end) print(temp) titles = temp positive_ang = [10,31,50,70,94,110,130,150,178,187,2...
#Daniel Ogunlana #9/9/2014 #Task 6 #1.Write a program that will ask the user for three integers and display the total. #2.Write a program that will ask the user for two integers and display the result of multiplying them together. #3.Ask the user for the length, width and depth of a rectangular swimming pool. Calc...
from django.shortcuts import render from django.views.generic import ListView, DetailView from main.models import Skill # Create your views here. class IndexView(ListView): template_name = 'skills/index.html' context_object_name = 'skills' model = Skill def get_context_data(self, **kwargs): c...
# # Bug:36536 # Title: The glite wms purge storage library should rely on LBProxy while logging CLEAR events # Link: https://savannah.cern.ch/bugs/?36536 # import logging from libutils import Job_utils from libutils.Exceptions import * def run(utils): bug='36536' logging.info("Start regression test for...
from pages.allsubjectspage.add_subject_page import AddSubjectPage from pages.datasenderpage.data_sender_locator import SEND_IN_DATA_LINK, PROJECT_LIST, REGISTER_SUBJECT, SMARTPHONE_NAV from pages.page import Page from pages.smartphoneinstructionpage.smart_phone_instruction_page import SmartPhoneInstructionPage from pag...
# This monkey-patches scons' CacheDir to synchronize the cache # to an s3 bucket. # # To enable it: # # - ensure python packages are installed: boto3, humanize # - create a site_init.py file in site_scons containing 'import s3_cache' # - setup ~/.aws/credentials with an access key # - set the SCONS_CACHE_S3_BUCKET env...
n = int(input()) nails = [int(x) for x in input().split()] """def count_crossed_lines(i, j, crossed=0): # base case if i == n-1: return crossed # recursive loop if nails[i] > nails[j]: crossed += 1 j += 1 if j == n: i += 1 j = i + 1 return count_crossed_l...
# -*- coding:UTF-8 -*_ import psutil a = psutil.cpu_count() # CPU逻辑数量 b = psutil.cpu_count(logical=False) # CPU物理核心 # 2说明是双核超线程,4则是4核非超线程 print(a, b)
import nltk from nltk import word_tokenize from nltk.corpus import stopwords, wordnet from unidecode import unidecode import string from nltk.stem import WordNetLemmatizer from nltk.tokenize import word_tokenize, sent_tokenize import spacy nlp = spacy.load('fr_core_news_md') french_stopwords = nltk.corpus.stopwords.wo...
import re from util import hook, http, pystuff, randout import usertracking import sys import time re_lineends = re.compile(r'[\r\n]*') @hook.command def python(inp, prefix="direct call", conn=None, nick=None): ".python <prog> -- executes python code <prog>" i = 0 while i < 3: if not output and...
from typing import * import os.path # types Clause = Sequence[int] Solution = Sequence[int] PartialSolution = Union[Solution, Literal[False]] class KissatError(Exception): ... def replacedict(s: str, d: Mapping[str, str]) -> str: for pattern, replacement in d.items(): s = s.replace(pattern, replacement) ret...
#!/usr/bin/python # -*- coding: utf-8 -*- from pykafka import KafkaClient from pykafka.common import OffsetType from schemas.MonitorMessage import MonitorMessage from schemas.DataField import DataField from schemas.GEMHist import GEMHist from schemas.GEMTrack import GEMTrack import pylab as pl import matplotlib.pyplot...
import numpy as np import time import matplotlib.pyplot as plt from matplotlib import cm from multires2DRendering import multires2DRendering def computeCorrectRefl(material,idd,blockWidth): filename = 'input/'+ material +'/' + material + repr(idd+1) + '.png' output = np.loadtxt('output/'+ material ...
import math from copy import deepcopy import random import pyximport pyximport.install() import dfunc import sys #stone & stage reading #data = two stone #onedata = one stone #twostage = two stage #onestage = one stage param = sys.argv data = dfunc.getdata(param[1]+'.txt') #stage & stone two data stage = data[0]...
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # import the classes in the files of the data folder here. from .base import TransformerXHDataset from .hotpotqa import HotpotDataset, batcher_hotpot from .fever import FEVERDataset,batcher_fever from .utils import load_data
from flask import Flask from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) DIALECT = 'mysql' DRIVER = 'pymysql' USERNAME = 'root' PASSWORD = 'password' HOST = '192.168.99.100' PORT = '3306' DATABASE = 'react_template' SQLALCHEMY_DATABASE_URI = '{}+{}://{}:{}@{}:{}/{}?charset=utf8'.format( DIALECT, DRI...
import func_bsearch def contains(a, q): p = func_bsearch.bsearch(a, q) return p < len(a) and a[p] == q def main(): print contains([2,3,6,6,7,8], 1) # False print contains([2,3,6,6,7,8], 2) # True print contains([2,3,6,6,7,8], 6) # True print contains([2,3,6,6,7,8], 8) # True print contains([...
#!/usr/bin/env python # coding: utf-8 from __future__ import (absolute_import, division, print_function, unicode_literals) try: # noinspection PyUnresolvedReferences, PyCompatibility from builtins import * # noqa except ImportError: pass import os import pandas as pd from climate...
from util import * from ADI_SOLVER import * import ipywidgets def start(): layout = ipywidgets.Layout(width= '100%',height='20px') bc1 = ipywidgets.IntSlider(min=0,max=1000,value = 681,step=1,description='Top BC' ,layout=layout,continuous_update=False,style = {'description_width': 'initial'}) bc2 = ipywid...
from config.base_config import BaseConfig class DatabaseConfig(BaseConfig): def __init__(self): super().__init__() self.file = 'database.ini'
import os import datetime from etl.scripts import RetrieveProcedureComplicationsDPCA from barbell2light.utils import Logger, current_time_secs, elapsed_secs, duration class ScriptRunner: def __init__(self, output_dir, log_dir): self.output_dir = self.update_output_dir(output_dir) self.logger = s...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ File: fm_footer.py Author: tdoly """ class Footer(object): """ Footer class that outputs text to a curses screen """ msg = None curses_screen = None def __init__(self): self.width = None def set_screen(self, curses_screen): self...
from selenium import webdriver from time import sleep import iamarobot driver = webdriver.Firefox() driver.get('https://google.com/recaptcha/api2/demo') sleep(4) d = iamarobot.Docaptcha(driver, '//iframe[@title="reCAPTCHA"]') d.solve()
import os import sys sys.path.append( os.path.abspath(os.path.join(os.path.dirname(__file__), '..','dots_and_squares'))) from dots_and_squares_game import dots_and_squares_game import unittest import pygame class test_dots_and_squares_game(unittest.TestCase): """Tests for functions in dots_and_squares_game. The u...
""" steps 1. search & locates modules src file 2. execute 3. object for the imported module """ from glob import glob from psmakearchive import make_archive, make_tarball file_list = glob('*.py') make_archive('source.zip', *file_list) # content of the list as arguments make_tarball('source.tar', *file_list)
#-*- coding: utf-8 -*- import copy from django.contrib import admin from app_data.forms import multiform_factory from app_data.admin import AppDataModelAdmin from .models import MyModel, Tag MyModelMultiForm = multiform_factory(MyModel) class MyModelAdmin(AppDataModelAdmin): multiform = MyModelMultiForm @p...
import pandas as pd import numpy as np from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.preprocessing import OneHotEncoder def sigmoid(x): return 1 / (1 + np.exp(-x)) def sigmoid_m1(x): return -np.log((1 / x) - 1) class data_preparing: ...
import sys class Person (): def __init__(self, name, surname, age): self.name=name self.surname=surname self.age=age class Employee(Person): def __init__(self, name, surname, age, position, specialization, salary): super().__init__(name, surname, age) self.position = ...
import logging import elks logging.getLogger().setLevel(logging.INFO) def main(): username = '<Your 46elks API username>' password = '<Your 46elks API password>' elk = elks.API(username, password) number = elk.allocateNumber() logging.info('Allocated number: %s' % number)) number.modify(sms_...
import csv from pygal.maps.world import World from pygal.style import RotateStyle as RS, LightColorizedStyle as LCS from country_codes import get_country_code # Load CO2 emissions data. filename = 'co-emissions-per-capita.csv' with open(filename) as f: reader = csv.reader(f) header_row = next(reader) ...
from math import ceil import numpy as np import fenics as pde import matplotlib.pyplot as plt import mshr from tqdm import trange # Aliases for FEniCS names we will use dx = pde.dx ds = pde.ds sym = pde.sym grad = pde.grad nabla_grad = pde.nabla_grad div = pde.div dot = pde.dot inner = pde.inner def epsilon(u): re...
from django.contrib.auth.models import User,Group from django.test import TestCase from rest_framework import status from rest_framework.reverse import reverse from rest_framework.test import APITestCase,APIClient from .factory import populate_test_db_docs,populate_test_db_users from .models import Document class Tes...
import serial from . import make_command as cmd from .response import Response tf = cmd.TelegramFactory() IDN = cmd.IDN.from_string class IndraDrive: def __init__(self): self.serial = None self.known_parameter_sizes = {} @classmethod def with_serial(cls, *args, **kwargs): if 'ba...
import argparse import os import matplotlib.pyplot as plt import numpy as np import wandb from torchvision import transforms from MODELS.model_resnet import * from custom_dataset import DatasetISIC2018 from gradcam import GradCAM, GradCAMpp from gradcam.utils import visualize_cam parser = argparse.ArgumentParser(des...
import time import ApplicationPerformance.applicationperformance.launchTime as launchTime from appium import webdriver from selenium.common.exceptions import NoSuchElementException desired_caps = {} desired_caps['platformName'] = 'Android' desired_caps['platformVersion'] = '4.4.2' desired_caps['deviceName'] = 'emulator...
from typing import List from ex3.src import GraphInterface from ex3.src.DiGraph import DiGraph from ex3.src.GraphAlgoInterface import GraphAlgoInterface import json import heapq import queue import math import numpy as np import matplotlib.pyplot as plt import random class GraphAlgo(GraphAlgoInterface): def __...
from flask import Blueprint, session, render_template, flash, request, redirect, url_for from werkzeug.exceptions import abort from my_app.auth.model.user import User, LoginForm, RegisterForm from my_app import db from flask_login import login_user, logout_user, current_user, login_required from my_app import login_ma...
# -*- coding: utf-8 -*- from __future__ import division, print_function, absolute_import, unicode_literals #TODO ##from infrastructure.sumoapi import (api_get_position, api_get_destination, api_get_speed, api_set_color, api_get_road, api_change_destination, api_get_origin) ##from .api import (api_get_position, api_get...
from django.shortcuts import redirect from django.http.response import HttpResponse def index(request): return redirect("/register") def register(request): return HttpResponse("marcador de posición para que los usuarios creen un nuevo registro de usuario") def login(request): return HttpResponse("marcad...
""" Attempting to support yTube Music in Home Assistant """ import asyncio import logging import time import random import pickle import os.path import random import datetime from urllib.request import urlopen from urllib.parse import unquote from .const import * import voluptuous as vol from homeassistant.helpers im...
def pow2(n): return n ** 2 pow2_new = lambda n: n**2 mysum = lambda a, b: a + b val = pow2(10) val_new = pow2_new(10) sum_val = mysum(10, 20) print(val) print(val_new) print(sum_val) print(type(pow2)) print(type(pow2_new))
from base import * from user import User from city import City class Place(BaseModel): owner = peewee.ForeignKeyField(User, related_name="places") city = peewee.ForeignKeyField(City, related_name="places") name = peewee.CharField(128, null=False) description = peewee.TextField() number_rooms = peew...
from flask import Flask, request, render_template, jsonify import os from Model import multiple_prediction_model app = Flask(__name__) # not actually a secret since no need for authentication app.secret_key = 'A0Zr98j/3yX R~XHH!jmN]LWX/,?RT' # standard route @app.route('/') def loadViz(): return render_template('/i...
# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import datetime from testing_utils import testing from model.suspected_cl_confidence import ConfidenceInformation from model.suspected_cl_confidence import...
# -*- coding: utf-8 -*- ''' transforms使用 ''' #%% import os import numpy as np import torch import random from torch.utils.data import DataLoader import torchvision.transforms as transforms from my_dataset import RMBDataset from PIL import Image from matplotlib import pyplot as plt os.chdir('E:\pytorch_learning') de...
import sqlite3 as sq DB_NAME = "ipl.db" try: conn = sq.connect(DB_NAME) cur = conn.cursor() DELETE = "DROP TABLE IF EXISTS POINTS_TABLE;" cur.execute(DELETE) conn.commit() CREATE = """ CREATE TABLE IF NOT EXISTS POINTS_TABLE ( team_id INTEGER PRIMARY KEY, ...
#APPENDING OPERATION ON LISTS #appendig list as a element print("\nAppending using list as a element:\n") list_A = ['DIGITAL', 'SIGNAL'] print ("list_A before appendig",list_A ) list_A.append('PROCESSING') print ("list_A after appendig",list_A ) #appending using two lists print("\nAppending using two lists\n") list1 ...
# -*- coding: utf-8 -*- import time, sys, cPickle, os, socket from pylearn2.utils import serial from itertools import izip from pylearn2.utils import safe_zip from collections import OrderedDict from pylearn2.utils import safe_union import numpy as np import scipy.sparse as spp import theano.sparse as S from the...
import sys @task def source(): """Generates source (development) version of test runner""" core.test_source() @task def build(): """Generates build (deployment) version of test runner""" core.test_build() @task def clean(): """Cleans up project environment""" session.clean() Rep...
#! /usr/bin/env python import rospy import numpy as np import tf import tf2_ros import sys import math from geometry_msgs.msg import Pose, TransformStamped, PoseStamped, Vector3, Quaternion, Transform from visualization_msgs.msg import Marker, MarkerArray from nav_msgs.msg import Odometry from std_msgs.msg import Heade...
import argparse import pickle import spacy from dataset import process_20newsgroup_dataset def main(args): nlp = spacy.load("en") train_dataset, test_dataset = process_20newsgroup_dataset(nlp) print("-- Saving processed dataset to: {}".format(args.dataset_file)) with open(args.dataset_file, mode="w...
import numpy as np import lttb def test_downsampling(): csv = 'tests/timeseries.csv' data = np.genfromtxt(csv, delimiter=',', names=True) xs = data['X'] ys = data['Y'] data = np.array([xs, ys]).T out = lttb.downsample(data, 100) assert out.shape == (100, 2)
## vamos agora, por fim, vermos como funciona o while. ## While significa 'enquanto', e trabalha com valores ## booleanos, assim como o if. Vejamos sua estrutura: a = 5 while (a > 0): print(a) a -= 1 ## --------- EXECUTE O CÓDIGO -------------- ## nossa estrutura é a seguinte: ENQUANTO ('a' for maior ##...
from sqlalchemy import Column, Integer, String, Boolean from api.models import Base class User(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) username = Column(String(255), unique=True) first_name = Column(String(255)) last_name = Column(String(255)) password = Column(S...
# -*- coding: utf-8 -*- import pygame import json from classes import * from loaders import * TILE_W, TILE_H = 40, 26 class Game(object): def __init__(self, screen, movekeys): self.movekeys = movekeys self.screen = screen self.width, self.height = screen.get_width(), screen.get_height() ...
# -*- coding: utf-8 -*- """ Created on Sat Jun 20 11:28:15 2015 @author: Kapil Chandra """ import xlrd from selenium.webdriver import Firefox import time from selenium import webdriver #opening the xl sheet which is having all the numbers workbook= xlrd.open_workbook('sms_sender.xlsx') #going into the par...
#!/usr/bin/python import sys, os sys.path.append ("../scripts") import vlaunch import ihex2mem def run_sim(ihx_name): # open the test ihx file and populate ROM memim = ihex2mem.mem_image() memim.load_ihex (ihx_name) print "Loaded",memim.bcount,"bytes" for addr in range(memim.min, 32768): ...
# Generated by Django 2.2.3 on 2019-07-03 13:44 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Region', fields=[ ...
""" Reads pickled results from multivaraite TE or MI outputs and creates a file with the adjaceny matrix of the information bits. This is a light modification of the original pickle reader file script. Created: July 25, 2019 Updated: November 12, 2019 Seth Campbell """ #Import classes from idtxl....
""" recursive result TC: O(n) --->n in no of nodes in tree SC: O(h) --->h is height of tree iterative using queue level order traversal --> if perfect bin tree is there it will take more space if it is skewed tree then it will take O(1) space TC: O(n) --->n in no of nodes in tree SC: O(w) --->w is width of tree """ i...
# -*- coding: utf-8 -*- # # This file is part of PyBuilder # # Copyright 2011-2020 PyBuilder 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/l...
from bot import bot import config import send_movie from models import Movie, Video from telebot import types import upload_video def register_video_info(message, video_id: int, type: str, old_message_id: int, tapped_message_id: int): if message.text == '/cancel': return video = Video.select().where(V...
# Put '' [empty string] if you dont want any cell type from tqdm import tqdm from functions import AVAILABLE_BEHAVIORS import logging class CellTransConfig: """ Define a class with sample_id, cell_type, event_time and filter_pattern (for behavioral_transitions) """ def __init__( self, ...
from django.db import models class Trainer(models.Model): first_name=models.CharField(max_length = 50) second_name=models.CharField(max_length = 50) gender=models.CharField(max_length=20) id_number=models.CharField(max_length=50, null=True) email=models.EmailField(max_length=70) phone_number=models.CharField(max...
#!/usr/bin/env python fake = 'fL492_r_h4rd3r_th4n_th1s' flag = '' target = [58, 49, 82, 48, 52, 54, 82, 48, 51, 92, 58, 81, 115, 48, 53, 69, 92, 49, 90, 52] for i in range(len(target)): flag += chr(((target[i] ^ 0x32) - 1) ^ 0x32) print flag
# --- --- IMPORTS --- --- import ConfigParser import json import markdown import logging from logging.handlers import RotatingFileHandler from math import ceil from urllib import urlencode from os import listdir from os.path import basename from flask import Flask, render_template, flash, redirect, url_for, request #...
#!/usr/bin/env python from fastcgi import * from time import sleep @fastcgi def hello(): name = sys.stdin.read() sys.stdout.write(f'Content-type: text/html\n\nHello {name}\n') sys.stdout.write(f'{os.environ}\n')
import os, sys, logging, argparse, pdb, imp, time import unittest as test from copy import deepcopy from nistoar.testing import * from nistoar.pdr import cli from nistoar.pdr.publish.cmd import prepupd from nistoar.pdr.exceptions import PDRException, ConfigurationException import nistoar.pdr.config as cfgmod testdir ...
# Once for All: Train One Network and Specialize it for Efficient Deployment # Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han # International Conference on Learning Representations (ICLR), 2020. from .imagenet import *
# -*- coding:utf-8 -*- i = 0 residual = 500000.0 interest_tuple = (0.01, 0.02, 0.03, 0.035) repay = 30000.0 while residual > 0: i = i + 1 print("第",i,"年还是要还钱") if i <= 4: interest = interest_tuple[i - 1] else: interest = 0.05 residual = residual*(1 + interest) - repay print("...
__all__ = () import os from json import dumps as to_json, load as from_json_file, loads as from_json from math import ceil, floor from zlib import compress, decompress from hata import BUILTIN_EMOJIS, Color, DiscordException, ERROR_CODES, Embed, Emoji, KOKORO from hata.ext.slash import Button, ButtonStyle, Row, Timeo...
from alltrain.Train import * import torch from torch.utils.tensorboard import SummaryWriter import time # import alltrain.bratsUtils as bratsUtils import alltrain.atlasUtils as atlasUtils from multiatlasDataset import * from tqdm import tqdm from torch.utils.data import DataLoader import json import os class MATrai...
from flask_assets import Bundle bundles = { 'js': Bundle( 'js/loader.js', 'js/cache_timer.js', 'js/index.js', 'js/info.js', 'js/profile.js', output='gen/main.js'), 'css': Bundle( 'css/loader.css', 'css/base.css', 'css/index.css', ...
import argparse import os from collections import OrderedDict import random import matplotlib.patches as patches import matplotlib.pyplot as plt from PIL import Image import pdb def get_video_list(dir): new_list = [name for name in os.listdir(dir) if len(name)>2] new_list = make_video_name(new_list) return...
# -*- coding: utf-8 -*- # Generated by Django 1.11.24 on 2020-01-26 22:17 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('genres', '0003_auto_20200126_2216'), ] operations = [ migrations.AlterFiel...
import logging import os import sys from pathlib import Path from typing import cast import click import click_pathlib from rich.console import Console from rich.emoji import Emoji from rich.logging import RichHandler from rich.progress import ( BarColumn, DownloadColumn, Progress, TextColumn, Time...
import pkg_resources try: pkg_resources.get_distribution('RelStorage') except pkg_resources.DistributionNotFound: HAS_RELSTORAGE = False else: HAS_RELSTORAGE = True from relstorage.storage import RelStorage from relstorage.adapters.stats import OracleStats def get_object_count(db): """Returns...
from utils import ModuleHandler class BaseModuleHandler(ModuleHandler): def __init__(self, settings): super(BaseModuleHandler,self).__init__(settings) def handle_command(self, command): if command[0] == 'settings': self.__print_settings() return True elif co...
""" Tic Tac Toe Player """ from copy import deepcopy from math import inf X = "X" O = "O" EMPTY = None # ---------------HELPER--------------- def maxMinValue(board): if terminal(board): return utility(board) value = -inf for action in actions(board): value = max(value, minimum(result(bo...
import googleapi results = googleapi.standard_search.search("albert einstein") print("%s - %s" % (len(results), results[0].description))
__all__ = [ 'Section', 'StringField', 'IntegerField', 'BooleanField', 'FloatField', 'IniConnector', 'ListField' ] from .ConfigORM import Section from .Fields import StringField from .Fields import IntegerField from .Fields import BooleanField from .Fields import FloatField from .Fields import ListField from .Conne...
#рисує коло по точках import math from tkinter import * root = Tk() root.title("PythonicWay Pong") # встановлюєм канву c = Canvas(root, width=400, height=400) c.pack() # радіус кола r = 120 # створюєм пустий лист для запису в нього точок, по яких побудується нижня частина кола circl1 = [] # створюєм пустий лист для ...
#!/usr/bin/env python # -*- coding:utf-8 -*- import redis def main(): r = redis.Redis(host='127.0.0.1', port=6379, db=0) # 提取1到100页的url r.lpush("taobao", 'jianjian') if __name__ == '__main__': main()
import numpy as np import pandas as pd import os import matplotlib.pyplot as plt def find_local_min_max(series, x): state = { 'pmin': None, 'pmin_ind': None, 'pmax': None, 'pmax_ind': None, 'lmin': None, 'lmax': None } state['pmin_ind'] = series.index.tolist...
""" Utility methods for development """ import json def dict_to_file(dict_input, filename): with open(filename, 'w') as f: json.dump(dict_input, f, indent=4, sort_keys=True) def file_to_dict(filename): with open(filename, 'r') as f: return json.load(f)