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import random # This lib is used to choose a random word from the list of word # The user can feed his name name = input("What's your Name? ") print("Good Luck ! ", name) words = ['education','rainbow', 'computer', 'science', 'programming', 'python', 'mathematics', 'player', 'condition', 'reverse',...
import discord import asyncio from stem_server_roles import HOUSING_ROLE_IDS, MAJOR_ROLE_IDS, CLASS_ROLE_IDS, GRAD_YEAR_ROLE_IDS, SPECIAL_ROLE_IDS, PRONOUN_ROLE_IDS from discord.utils import get from bot_helper import del_convo, get_mhom, contains_role def merge_dict(dicts): # merges dictionaries together z = dict...
#!/usr/bin/env python3 """ This module provides classes used to define a periodic structure. """ # adapted from original version in pymatgen version from pymatgen import math import collections import itertools from abc import ABCMeta, abstractmethod, abstractproperty import warnings import numpy as np from fracti...
"""Neural network operations.""" from __future__ import absolute_import as _abs from ...expr import TupleWrapper from . import _make def conv2d(data, weight, strides=(1, 1), padding=(0, 0), dilation=(1, 1), groups=1, channels=None, kernel_si...
from django.conf.urls import patterns, url urlpatterns = patterns('testproject.myapp.views', url(r'^', 'home') )
import logging import os from datetime import datetime from OTLMOW.ModelGenerator.StringHelper import wrap_in_quotes from OTLMOW.PostenMapping.PostenCollector import PostenCollector from OTLMOW.PostenMapping.StandaardPost import StandaardPost class PostenCreator: def __init__(self, postenCollector: PostenCollect...
import numpy as np import matplotlib.pyplot as plt W = np.loadtxt('sol.csv', skiprows=1, delimiter=',') # Density of solid phase plt.figure(1) plt.plot(W[:,0], W[:,1], linestyle='-', linewidth =0.3, color='black', marker = 'o', mew=1.0, ms=1.0) plt.xlabel(r"$x$") plt.ylabel(r"$\rho_s$") plt.savefig("RHO_s.pdf") # D...
from google.cloud import automl from core_engine import logger logging = logger(__name__) def evaluate_model( project_id: str, region: str, model_id: str, evlauation_filter: str = "" ): """[Evalaute Model Summary] Args: project_id (str): [Unique Identifier for your Project] region (str):...
# https://leetcode.com/problems/flip-game/submissions/ class Solution: def generatePossibleNextMoves(self, s): """ :type s: str :rtype: List[str] """ out = [] for i in range(0, len(s) - 1): if s[i:i+2] == '++': out.append(s[:i] + '--' + s[i+2:]) ...
# -*- encoding: utf-8 -*- """ @Author : zYx.Tom @Contact : 526614962@qq.com @site : https://zhuyuanxiang.github.io --------------------------- @Software : PyCharm @Project : deep-learning-with-python-notebooks @File : ch0503_pretained_convnet.py @Version : v0.1 @Time :...
# RUN: %PYTHON %s | FileCheck %s from mlir.ir import * from mlir.dialects import quant def run(f): print("\nTEST:", f.__name__) f() return f # CHECK-LABEL: TEST: test_type_hierarchy @run def test_type_hierarchy(): with Context(): i8 = IntegerType.get_signless(8) any = Type.parse("!quant.any<i8<-8:7...
from django.contrib import admin from .models import Post, Comment, Like, Follow # Register your models here. admin.site.register(Post) admin.site.register(Comment) admin.site.register(Like) admin.site.register(Follow)
# -*- coding: utf-8 -*- import json import os import shutil import subprocess import sys import time # environ PYTHON27 = os.environ['PYTHON27'] ROOT = os.path.realpath(os.path.dirname(__file__)) # useful paths LOGS_PATH = os.getenv('BROAPT_LOGS_PATH', '/var/log/bro/') APK_LOG = os.getenv('APK_LOG', '/var/log/bro/tm...
import argparse, os, math from theia.channels import invert_with_alpha from theia.image import load_from_path from PIL import Image def main(args): os.makedirs(args.output, exist_ok=True) images = load_from_path(args.input) for (name, img) in images: # Invert the image if args.invert: ...
import argparse import numpy def chunk(thing, size): x = 0 out = [] for val in thing: out.append(val) x += 1 if x % size == 0: yield out out = [] x = 0 if out: yield out if __name__ == '__main__': parser = argparse.A...
from functools import lru_cache import menpo.io as mio import menpo3d.io as m3io import numpy as np # load the maps between LSFM/Basel etc @lru_cache() def map_tddfa_to_basel(): maps = mio.import_pickle( '/vol/atlas/databases/itwmm/mapping_mein3d_to_tddfa.pkl.gz') return maps['map_tddfa_to_basel'] d...
import pandas as pd submission = pd.read_csv( "/data/zhaoxinying/code/rsna-miccai-2021/user_data/preds/submission.csv", index_col="BraTS21ID") ids = [1, 13] print(ids) y_pred = [0.8, 0.6] preddf = pd.DataFrame({"BraTS21ID": ids, "MGMT_value": y_pred}) preddf = preddf.set_index("BraTS21ID") submis...
""" Conjuntos - Referência a teoría dos conjuntos em Matématica #Forma 1 s = set({1, 2, 3, 4, 5, 5, 6, 7, 2, 3}) print(s) print(type(s)) #Forma 2 s = set({1, 2, 3, 4, 5, 5}) print(s) print(type(s)) s1 = {1, 'b', True, 34.22, 44} print(s1) print(type(s1)) #Usos interessantes com sets #Adicionar Elementos em ...
from adv_prodcon import Producer, Consumer import time class MyProducer(Producer): def __init__(self, *args, **kwargs): tag = kwargs.pop("tag") Producer.__init__(self, *args, **kwargs) self.work_kwargs = {"tag": tag} @staticmethod def work(on_start_result, state, message_pipe, *ar...
# Copyright (c) 2020 DDN. All rights reserved. # Use of this source code is governed by a MIT-style # license that can be found in the LICENSE file. import settings import glob import json import os from django.db import connection from django.core.management.commands.runserver import Command as BaseCommand class Co...
import os import multiprocessing import numpy as np class ActiveLearningExperiment: def __init__(self, query_method, instance, gpu_index, dataset_name, model, train_func, num_init, num_add_per_iter, num_iter, x_train, y_train, x_test, y_test): """ constructor ...
import itertools import os import pytest import shapely.geometry from sentinelhub import ( CRS, BBox, BBoxSplitter, CustomGridSplitter, DataCollection, OsmSplitter, TileSplitter, UtmGridSplitter, UtmZoneSplitter, read_data, ) from sentinelhub.testing_utils import get_input_fold...
import mne import numpy as np ''' https://realpython.com/pypi-publish-python-package/#publishing-to-pypi https://towardsdatascience.com/how-to-publish-a-python-package-to-pypi-7be9dd5d6dcd ''' class sim_data: def __init__ (self): b = 1 def gen_epochs (self, nchannels=None, labels=None, sfreq=None, ...
import torch.nn.functional as F import torch.nn as nn import torch import torch.optim as optim import numpy as np import math from torch.nn import init class NoisyLinear(nn.Module): """Factorised Gaussian NoisyNet""" def __init__(self, in_features, out_features, sigma0=0.5): super().__init__() ...
from datetime import datetime, timedelta import requests from airflow import DAG from airflow.operators.python import PythonOperator from app.utils.terminal import print_to_console from app.models.dto.user_dto import UserDTO from app.models.dto.address_dto import AddressDTO from app.models.dto.company_dto import Comp...
import hashlib import inspect import numpy as np from .generic import isinstance_str def hash_path(nodes): h = hashlib.md5() for node in nodes: to_str = [] if isinstance_str(node, 'InputNode'): to_str.append(node.output) else: if isinstance_str(node.layer, 'Lamb...
import tensorflow as tf import numpy import logging logger = logging.getLogger() from mlqm import DEFAULT_TENSOR_TYPE from mlqm.hamiltonians import Hamiltonian class NuclearPotential(Hamiltonian): """Nuclear Physics Potential """ def __init__(self, **kwargs): ''' Arguments: ...
""" datalite.constraints module introduces constraint types that can be used to hint field variables, that can be used to signal datalite decorator constraints in the database. """ from typing import TypeVar, Union, Tuple T = TypeVar('T') class ConstraintFailedError(Exception): """ This exception...
import argparse from collections import Counter, defaultdict import json import random import re import time import numpy as np from pystalk import BeanstalkClient from bucket_extraction import getBucketsFromText import bucket_generation.utils as generation_utils def generateNGrams(candidates): ngrams = defau...
# # All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or # its licensors. # # For complete copyright and license terms please see the LICENSE at the root of this # distribution (the "License"). All use of this software is governed by the License, # or, if provided, by the license below or th...
entero=5 #Numero entero lon=5L #Numero LONG real=0.567 #Numero Real real=0.56e-3 #Numero Real x 10 a la -3 print real a = 26 b = 11.3 c = 5 d = 3.5 #SUMA print a + b #RESTA print c - a #MULTIP print d * c #EXPONENTE print c ** 3 #DIVISION print c / a #DIVISION ENTERA print c / a #MODULO print 7%3
# Generated by Django 3.2.3 on 2021-08-12 17:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0008_customer_profile_picture'), ] operations = [ migrations.AlterField( model_name='customer', name='pr...
""" Functional Test for curve class """ import bond_math as bmath import pandas as pd # Get expectations in_curve = pd.read_csv('test_curve_in.csv') exp_curve_H6 = pd.read_csv('test_curve_H6.csv') exp_H6 = pd.Series(exp_curve_H6['spot'].tolist(), index=exp_curve_H6['term'].tolist()) exp_fwd= pd.rea...
import sys, logging, os, random, math, open_color, arcade #check to make sure we are running the right version of Python version = (3,7) assert sys.version_info >= version, "This script requires at least Python {0}.{1}".format(version[0],version[1]) #turn on logging, in case we have to leave ourselves debugging messa...
import sys import argparse import colorama from rve import cmd def _create_sub_parsers(parser): cmds = [cmd.init, cmd.remove, cmd.run, cmd.status] cmds_names = [x.name for x in cmds] cmds_list = '[' + '|'.join(cmds_names) + ']' desc = 'call `rosh command -h` for help in each command listed below:\n...
from ..typing import Number from .base import MarkdownSection __all__ = ["MarkdownCodeBlock"] class MarkdownCodeBlock(MarkdownSection): def append(self, line: str) -> None: self.lines.append(line) def reformatted(self, width: Number = 88) -> str: return "\n".join([line.rstrip() for line in ...
from .robot import Robot from ..shared import ROBOT, DIRT, BABY, CORRAL, OBSTACLE, get_adjacents, count_dirt from .utils import closest_target, count_free_babies from ..logging import LoggerFactory as Logger log = None class Reagent(Robot): ''' Reagent agent. Simple reflex agent ''' def __init__(sel...
import unittest import torch import torch.nn as nn from tinynn.prune.oneshot_pruner import OneShotChannelPruner from interval import Interval import torch.nn.functional as F def removed_idx_group_check(removed_idx, total_idx_len, removed_idx_len, group, offset=0): for i in range(group): remove_group_len ...
#!/usr/bin/env python import rospy from nav_msgs.msg import Odometry from geometry_msgs.msg import Pose def process_odom(msg): publisher.publish(msg.pose.pose) rospy.init_node('converter') publisher = rospy.Publisher('/tractor_position', Pose, queue_size=10) subscriber = rospy.Subscriber('/gps/rtkfix', Odometry...
from __future__ import annotations from identify import cli def test_identify_cli(capsys): ret = cli.main(('setup.py',)) out, _ = capsys.readouterr() assert ret == 0 assert out == '["file", "non-executable", "python", "text"]\n' def test_identify_cli_filename_only(capsys): ret = cli.main(('setu...
# 6.4 glossary = { 'oop': 'object of power', 'loop': 'don\'t like infinite', 'condition': 'every choice is a renunciation', 'tuple': 'change all or nothing', 'immutable': 'like elders, don\'t change anymore', 'dictionaries': 'contain the knowledge', 'indent': 'the way to be clean', } for...
from django.db.models import Q from django.utils import timezone from rest_framework import generics from functools import reduce from .models import Meeting from .serializers import MeetingWriteSerializer, MeetingReadSerializer, \ MeetingSerializer class MeetingListView(generics.ListCreateAPIView): seriali...
from django.shortcuts import render from dwebsocket.decorators import accept_websocket,require_websocket from collections import defaultdict from django.http import HttpResponse # 保存所有接入的用户地址 allconn = defaultdict(list) @accept_websocket def echo(request, userid): allresult = {} # 获取用户信息 userinfo = request....
# https://www.codewars.com/kata/56af1a20509ce5b9b000001e def travel(r, zipcode): r_splitted = r.split(',') house_address = [] house_numbers = [] for address in r_splitted: if address.count(zipcode) != 0: address_splitted = address.split() if zipcode != ' '.jo...
#!/usr/bin/python3 import hashlib import threading import time import config #findFlag = 0 #result = 0 myPassword = '12DC4DB5B4636DD86F46C138B2EE0386CC1C5C5FBCF5ED302B3144869D9E500B' myPassword = myPassword.lower() #12DC4DB5B4636DD86F46C138B2EE0386CC1C5C5FBCF5ED302B3144869D9E500B #72D96D46543F3B7A9765...
from NeuralNet import NeuralNet import keras from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization from keras.layers import Conv2D, MaxPooling2D from keras import backend class NeuralNetGamma(NeuralNet): def beginTraining(self): self.setTrai...
from CRF import *
# IMPORT LIBRARIES import numpy as np import matplotlib.pyplot as plt import pandas as pd # IMPORTING DATASET def rfg(dataset, NOFtrees): dataset = dataset # pd.read_csv("2_Classification/Social_Network_Ads.csv") X = dataset.iloc[:, 0:-1].values y = dataset.iloc[:, -1].values dataset.plot() # Spl...
# -*- coding: utf-8 -*- """ gtorch_utils/segmentation/loss_functions/test/test_fp_rate """ import torch import unittest from gtorch_utils.segmentation.loss_functions.fp_rate import FPR_Loss from gtorch_utils.segmentation.metrics.fp_rate import fpr class Test_FPR_Loss(unittest.TestCase): def setUp(self): ...
# 분해합 # 브루트포스의 정석 # 각각 1부터 쭉 해주는 것에 for문을 쓰는데 인색하지 말자. # 정말 앞에서부터 하나하나 쓰는 것을 중심으로 가야한다. # [boj-백준] Brute force 2231 분해 합 - python n = int(input()) for i in range(1, n+1): a = list(map(int, str(i))) sum_sep = sum(a) sum_all = i + sum_sep if sum_all == n: print(i) break if i == n: ...
import socket from struct import * str=input("Enter the Direction : ") num=int(str) s = socket.socket() host = "192.168.43.223" port = 8001 s.connect((host,port)) print("connection established") #s.send(val.encode()) val = pack('!i', num) s.send(val)
''' A + B Problem Description Given a series of integer pairs and , output the sum of and . Input Format Each line contains two integers, and . One input file may contain several pairs where . Output Format Output a single integer per line - The sum of and . SAMPLE INPUT 1 2 2 5 10 14 SAMPLE OUTPUT 3 7 24 '...
__all__ = ["check_surr", "gradient", "folder_name_func", "index_list_func", "model_input_func", "model_sig_func", "plot_pred_func", "plot_sig_func", "pred_comp_func", "read", "rename_func", "sig_data_func", "tanh_func", "upper_shelf_func"]
from .theplatform import ThePlatformIE from ..utils import ( ExtractorError, GeoRestrictedError, int_or_none, update_url_query, urlencode_postdata, ) class AENetworksBaseIE(ThePlatformIE): _BASE_URL_REGEX = r'''(?x)https?:// (?:(?:www|play|watch)\.)? (?P<domain> (?:...
from user import User #Importing the user class from credentials import Credentials #Importing the credentials class import unittest #Importing python unittest module for testing class TestPassword(unittest.TestCase): ''' Test class to test user and credentials classes behaviours. TestCase class helps in creati...
''' You are playing the following Nim Game with your friend: There is a heap of stones on the table, each time one of you take turns to remove 1 to 3 stones. The one who removes the last stone will be the winner. You will take the first turn to remove the stones. Both of you are very clever and have optimal strategies...
from django.contrib.auth import get_permission_codename from django.contrib.contenttypes.models import ContentType from wagtail.wagtailsnippets.models import get_snippet_models def get_permission_name(action, model): return "%s.%s" % (model._meta.app_label, get_permission_codename(action, model._meta)) def use...
from cm.util import misc from cm.util import paths import logging log = logging.getLogger('cloudman') class CloudInterface(object): # Global fields ec2_conn = None s3_conn = None tags_supported = False tags = {} # Instance details ami = None instance_type = None instance_id = None...
# -*- coding: utf-8 -*- # @Author : Lin Lan (ryan.linlan@gmail.com) from __future__ import absolute_import from __future__ import division from __future__ import print_function import logging from collections import defaultdict import ray import numpy as np from ray.rllib.optimizers.policy_optimizer import PolicyOp...
import numpy as np def test_BEM(): """Unnecessary test for the ugly and non-working and legacy BEM for the sake of coverage """ from Florence.BoundaryElements import GetBasesBEM2D from Florence.BoundaryElements import GenerateCoordinates from Florence.BoundaryElements import CoordsJacobi...
from conans import CMake, ConanFile, tools from conans.errors import ConanInvalidConfiguration import functools import os required_conan_version = ">=1.45.0" class EdynConan(ConanFile): name = "edyn" description = "Edyn is a real-time physics engine organized as an ECS" license = "MIT" url = "https://...
print('os numeros pares entre 1 e 50 sao:') for c in range(0,51,2): print(c) print('FIM') escolha4 = '' while escolha4 != 'sim' and escolha4 != 'nao': escolha4 = str(input('você deseja executar novamente [sim/nao]?')).lower() if escolha4 == 'sim': import jogo_do_tio_Dodo if escolha4 == 'nao': ...
import unittest import sys from flow_stress.pt_conditions import * depth = 10 density = 2.7 geothermal_gradient = 30 class Test_pt_conditions(unittest.TestCase): def test_pt_conditions_initiates(self): self.pt = PTCalculator(depth, density, geothermal_gradient) self.assertEqual(self.pt.gravity, 9.8) self.as...
# !/usr/bin/env python # 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 # "...
from turtle import * shape("arrow") speed(2) up() goto(-50,0) down() bgcolor("dodgerblue") color("white") begin_fill() for i in range(5): forward(100) right(144) end_fill() hideturtle()
from conf import spaces_settings def spaces_processor(request): """ Set global template variables. """ return { 'site_name': spaces_settings['SITE_NAME'] }
__author__ = 'vitor' from django.conf import settings from django.core.mail import send_mail from collections import defaultdict import string def enviar_email(obj): email_assunto = settings.EMAIL_SUBJECT habilidades = get_usuario_habilidades(obj) if habilidades: for habilidade in h...
from datetime import datetime, date from marqeta.response_models import datetime_object import json import re class StoreResponseModel(object): def __init__(self, json_response): self.json_response = json_response def __str__(self): return json.dumps(self.json_response, default=self.json_seri...
import taichi as ti @ti.archs_support_sparse def test_pointer(): x = ti.field(ti.f32) s = ti.field(ti.i32) n = 16 ptr = ti.root.pointer(ti.i, n) ptr.dense(ti.i, n).place(x) ti.root.place(s) s[None] = 0 @ti.kernel def activate(): ti.activate(ptr, 1) ti.activate(p...
from lib.docker import client from settings.docker import HOSTNAME def all(driver='bridge'): return client.networks.list(filters={'driver': driver}) def get(network_id): return client.networks.get(network_id) def get_containers_from(network_id): network = get(network_id) if network: return...
# -*- coding: utf-8 -*- # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # This program is free software; you can redistribute it and/or modify # it under the terms of the MIT License. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the...
# Built-in modules # import os, sh, glob, shutil, stat # Internal modules # from seqenv.common import unzip from seqenv.common.cache import property_cached ################################################################################ class DirectoryPath(str): def __repr__(self): return '<%s object "%s">' % (s...
from num2words import num2words import Python_Education_Base.GeekBrains_Python_Base_Work_With_Files_Practice.generators as Generarators import re filename = 'ex4.txt' Generarators.ex4_gen(filename, 1000) with open(filename, 'r') as f: pattern = re.compile(r"(.+)-(\d+)", re.UNICODE) for line in f.readlines(): ...
from __future__ import print_function import json import boto3 import traceback ddb = boto3.client('dynamodb', region_name = 'cn-northwest-1') #print('Loading function') event_delete = { "Records": [ { "eventID": "9bc813d4c24bcc307147ac25a170b44d", "eventVersion": "1.1", "dynamodb": { "Keys": { "recordId": { "N": "...
import re from urllib.request import urlretrieve dev_settings_path = "hifireg/hifireg/settings/developer.py" def wget(url, dest_path): urlretrieve(url, dest_path) def get_current_database_postfix(): try: with open(dev_settings_path, "r") as f: for line in f: match_list = r...
import requests import flask import yfinance as yf from pandas_datareader import data as pdr import dash_table import pandas as pd import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output from datetime import datetime as d...
#!/usr/bin/env python # -*- coding: utf-8 -*- import os import argparse import csv import logging import gzip from bs4 import BeautifulSoup from scraper import SimpleScraper, SeleniumScraper from random import randint import requests IA_WEB_BASE_URL = 'http://web.archive.org' def setup_logger(): """ Set up log...
from graphene_django.types import DjangoObjectType from kollect.models import Like class LikeNode(DjangoObjectType): class Meta: model = Like name = "Like"
""" Countries and cities models """ from django.db import models class Country(models.Model): name = models.CharField("Country name", max_length=50) def __str__(self): return self.name class City(models.Model): name = models.CharField("City name", max_length=50) country_id = models.ForeignKe...
from test import * from MR import * t=Test() def test_nbit_odd(data): out=nbit_odd(*data) if out%2==0: return False n=data[0] for i in range(n-1): out//=2 if out>2: return False out//=2 if out!=0: return False return True t.regist(nbit_odd) t.regist...
import re import unicodedata from .base import Service, Tokenizer, triples def maketrans_remove(accents=("COMBINING ACUTE ACCENT", "COMBINING GRAVE ACCENT")): """ Makes a translation for removing accents from a string. """ return str.maketrans("", "", "".join([unicodedata.lookup(a) for a in accents])) clas...
from .core import search_rental, search_reserve # noqa F401
from app.notify_client.inbound_number_client import InboundNumberClient def test_add_inbound_sms_number(mocker, api_user_active): inbound_number = '12345678901' expected_url = '/inbound-number/add' client = InboundNumberClient() mock_post = mocker.patch('app.notify_client.inbound_number_client.Inboun...
"""samples URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based...
import matplotlib.pyplot as plt import math # this is a helper script to properly choose the epsilon rate of decay during DQN training start = 1.0 end = 0.1 decay = 14000 steps = 80000 thresholds = [] for i in range(steps): threshold = end + (start - end) * \ math.exp(-1 * i / decay) thresholds.appe...
# Looks like it relies on precisions from C # Running it as C (https://www.codechef.com/ide) gives: c_output = '0001010203040406090c0d12282d2e3034' # Running it as superhack (http://www.hacker.org/sh/) gives: superhack_output = '102'
# Copyright MaxAndMitchCorp 2020 from trust_simulator import TrustSimulator from society import Society from institution import Institution import pytest @pytest.mark.parametrize("alpha", [(1), (0.05)]) def test_societal_convergence(alpha): society = Society(population_size=100, connectivity_probability=0.1) ...
# ニュートン法の収束地図の原点拡大アニメーションを作成するコード from PIL import Image, ImageDraw from numba import jit @jit def newton(x): for _ in range(50): x = x - (x**3-1)/(3*x**2) return x @jit def plot(draw, s, mag): hs = s/2 red = (255, 0, 0) green = (0, 255, 0) blue = (0, 0, 255) for x in range(s): ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- from pathlib import Path from typing import (Callable, Iterable, Iterator, List, Sequence, Tuple, TypeVar, Union) SHOW_FUNC_DATA = Sequence[Path] SHOW_FUNC = Callable[[bool, SHOW_FUNC_DATA], None] DIFF_FUNC = Callable[ [Sequence[str], Sequence[st...
from MonkeyBook.extensions import db from sqlalchemy_utils import EmailType from sqlalchemy import ForeignKeyConstraint monkey_friends = db.Table('monkey_friends', db.Column( 'monkey_id', db.Integer, db.ForeignKey('monkey.id', onupdate='CASCADE', ondelete='CASCADE'), primary_key=True ...
#!/usr/bin/python #rev 2015-11-12 print "Importing python modules ..." from time import time start_time = time() from numpy import loadtxt print("--- numpy %s seconds ---" % (time() - start_time)) import matplotlib.pyplot as plt print("--- matplotlib %s seconds ---" % (time() - start_time)) from itertools import cyc...
#!/usr/bin/env python """ 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");...
from rply import ParserGenerator from rply.token import Token from .ast import * from .errors import * class ParserState: def __init__(self): pass def add_variable(self, var): self.variables.append(var) def add_constant(self, var): self.constants.append(var) class Parser: ...
# -*- coding: utf-8 -*- """ Created on Wed Jan 19 01:52:59 2022 @author: maout """ from typing import Union import numpy as np import torch __all__ = ['RBF'] class RBF: """ RBF kernel class for pytorch implementation. """ def __init__(self, length_scale: Union[float,...
from more_itertools import one import pytest from adam.learner.integrated_learner import IntegratedTemplateLearner from adam.learner.language_mode import LanguageMode from adam.ontology.phase1_ontology import DAD, GAILA_PHASE_1_ONTOLOGY from adam.perception import PerceptualRepresentation from adam.perception.high_leve...
import rhinoscriptsyntax as rs import Rhino.Geometry as rg import math def fractal(pt1,pt2,angle): # creating a curve to extract its division points line=rs.AddLine(pt1,pt2) points=rs.DivideCurve(line,4) # 1/3 point between_points_1=points[1] between_points_2=points[3] # mid vector...
# Copyright 2019 The PlaNet Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
import pytest from typing import Optional from pygraphy.types import ( Object, Input, Schema, field ) from examples.starwars.schema import Schema as StarwarsSchema from examples.simple_example import Schema as SimpleSchema from examples.complex_example import Schema as ComplexSchema pytestmark = pytes...
#!/usr/bin/python DOCUMENTATION = ''' --- module: bmf_rest_bigchain_create_chain short_description: BMF BigChain create chain description: - Makes HTTPS request to create chain. version_added: "1.0.0" author: - Ted Elhourani (ted@bigswitch.com) notes: - This module can only be called in a playbook with the conn...
from discord.ext import commands import discord import json import logging from .utils import data discord_logger = logging.getLogger('discord') class Administrator(commands.Cog): @commands.command(brief="Reloads a module.") @commands.check(commands.is_owner()) async def reload(self, ctx: commands.Context,...