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# coding: utf-8 # In[ ]: import math import numpy as np # In[ ]: f1=open('predictspeed1') f2=open('predictspeed2') f3=open('predictt') f4=open('predictp') f5=open('predictu') f6=open('predictv') f7=open('predictw') f=[f1,f2,f3,f4,f5,f6,f7] g=open('realspeed') # In[ ]: import numpy as np import re # In[ ]: d...
''' Build a Query to Determine the Average Age by Population In this exercise, you will use the func.sum() and group_by() methods to first determine the average age weighted by the population in 2008, and then group by sex. As Jason discussed in the video, a weighted average is calculated as the sum of the product of...
# viscore.py -- core vision processing functions # Written for the 2017 FRC Season (Steamworks) # By Sebastian Mobo import numpy as np import math import cv2 import sys # # Vision Target Specs: # # There are two vision targets on either side of the peg: # # |X| |X| # |X| |X| # |X| O |X| # |X| |X| # |X| |X| # ...
# Generated by Django 3.2 on 2021-04-22 18:45 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Semester', fields=[ ...
import json import os import subprocess import sys from typing import Optional import httpx class CoverageService: """ Class to be used in the gitlab-ci to ensure pipeline test coverage is not dropping on commit """ def __init__(self) -> None: super().__init__() # Get ENV variables ...
class Solution: def findDuplicate(self, nums: List[int]) -> int: nums.sort() for ind,i in enumerate(nums): l,r = ind+1, len(nums)-1 while l<=r: m = l + (r-l)//2 if nums[m]==i: return i elif nums[m]<i: ...
import os import pandas as pd import random import torch import torch.nn as nn import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim as optim import torch.utils.data import torchvision.transforms as transforms import torchvision.utils as vutils from torch.utils.data import DataLoad...
import os.path from setuptools import setup, find_packages # The directory containing this file HERE = os.path.abspath(os.path.dirname(__file__)) # The text of the README file with open(os.path.join(HERE, "README.md")) as fid: README = fid.read() setup( name="LatoLog", version="0.1.2", author="Fábio ...
import matplotlib.pylab as plt import numpy as np import pinyin import soundfile as sf import torch from config import sampling_rate from utils import text_to_sequence, ensure_folder, plot_data, Denoiser if __name__ == '__main__': checkpoint = 'BEST_checkpoint.tar' checkpoint = torch.load(checkpoint) mode...
def matriz3(): '''Matriz 3x3''' matriz = [[0, 0, 0], [0, 0, 0], [0, 0, 0]] for l in range(0, 3): for c in range(0, 3): matriz[l][c] = int(input(f'Digite um valor para [{l}, {c}]: ')) prin = (matriz[0][0] * matriz[1][1] * matriz[2][2]) + (matriz[0][1] * matriz[1][2] * matriz[2][0]) + ...
import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable import torch.optim as optim class Net(nn.Module): """Construct network.""" def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(in_channels=1, out_channels=6, kernel_size=5...
### Generate an optimal voice leading sequence for a sequence of chords from freqs import * from music21 import * class Motion(int): 'Enumeration type for contrapuntal motion.' parallel = 0 oblique = 1 similar = 2 contrary = 3 def __new__(cls, n1, m1, n, m): 'Motion(n1, m1, n, m) -> the type of motion from ...
""" Example showing the axes and grid helpers with a perspective camera. * The grid spans the x-z plane (red and blue axis). * The green axis (y) stick up from the plane. * The red box fits snugly around the grid. """ # test_example = true from wgpu.gui.auto import WgpuCanvas, run import pygfx as gfx canvas = WgpuC...
from typing import List, Tuple import pygame from pygame.locals import * from gui.guiNode import GuiNode #from gui.guiLabel import GuiLabel from chess.board import Board class GuiChessBoard(GuiNode): def __init__(self, position: List, board: Board) -> None: super().__init__(position) self.board = board sel...
print('A: Ótimo\nB: Bom\nC: Regular\nD: Ruim\nE: Péssimo') a = 0 b = 0 c = 0 d = 0 e = 0 num = 0 sumageD = 0 maiorE = 0 maiorD = 0 maiorA = 0 for i in range(10): vt = input('Qual sua nota de A a E? ') age = int(input('Qual sua idade? ')) num += 1 if vt == 'A' or vt == 'a': a += 1 if age ...
from rest_framework.views import APIView from rest_framework.response import Response from django.db.models import Count, F, Q from account.models import User from .models import TextGenHistory from django.utils import timezone import datetime class RankingGenerateAPIView(APIView): def get(self, request): ...
def example(Simulator): from csdl import Model, NonlinearBlockGS import csdl import numpy as np class ExampleLiterals(Model): def define(self): x = self.declare_variable('x', val=3) y = -2 * x**2 + 4 * x + 3 self.register_output('y', y) ...
# -*- coding: utf-8 -*- """ Created on Mon Dec 27 10:03:12 2021 Reference article: [1]W.-T. Wu, Y.-H. Liao, and F.-Y. Lin, “Noise suppressions in synchronized chaos lidars,” Opt. Express, vol. 18, no. 25, p. 26155, Dec. 2010, doi: 10.1364/OE.18.026155. @author: pascalzhang """ import numpy as np from numpy import si...
# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.6.6, generator: @autorest/python@5.12.0) # Changes may cause incorrect behavior and will be lost if the code is regenerated. # ------------------------------...
from __future__ import print_function from __future__ import division import sys import argparse parser = argparse.ArgumentParser(description='Split input into mulitple file on lines based on character count') parser.add_argument('--c', type=int, default=5000, help='Maximum number of characters per file (Default: 500...
"""Stores implementations of input data parsers""" from typing import List import pandas as pd from dataVisualizer.data_containers.compound import Compound from dataVisualizer.exceptions import NotFound class DataMatrix: """Represents Data Matrix""" def __init__(self, compounds: List[Compound], data: pd.Da...
#!/usr/bin/env python3 """ run.py: run ocrevaluation-docker usage: run.py code source: https://github.com/nlppln/ocrevaluation-docker 20181127 erikt(at)xs4all.nl """ from nlppln import WorkflowGenerator with WorkflowGenerator() as wf: wf.load(step_file='https://raw.githubusercontent.com/nlppln...
from rpython.rlib.unroll import unrolling_iterable dual_implementation_opcodes = [ 'Add_Subtract_Multiply_Divide_Remainder', 'AggFinal', 'AggStep', 'Affinity', 'Cast', 'CollSeq', 'Compare', 'Copy', 'EndCoroutine', 'Function', 'Gosub', 'Goto', 'IdxLE_IdxGT_IdxLT_IdxGE...
#!/usr/bin/python3 import hardware, time, artnet, sys class App: def __init__(self): self._deviceManager = None self._running = False self._drawers = [] self._onewire = [] self.waitForKey = True self.currentKey = '' self.oneWireLed = False self.halted = False self.disableInput = False def handle_...
""" Kivy interface to show data received from UDP in real time. """ from kivy.app import App from kivy.uix.widget import Widget from kivy.uix.label import Label from kivy.properties import StringProperty, NumericProperty, ObjectProperty from kivy.clock import Clock from kivy.core.window import Window from ...
from insertion_sort import __version__ from insertion_sort.insertion_sort import insertion_sort def test_version(): assert __version__ == '0.1.0' def test_insert_sorting(): actual = insertion_sort([8, 4, 23, 42, 16, 15]) assert actual == [4, 8, 15, 16, 23, 42]
import unittest from dbt.exceptions import ConnectionException from dbt.clients.registry import _get_with_retries class testRegistryGetRequestException(unittest.TestCase): def test_registry_request_error_catching(self): # using non routable IP to test connection error logic in the _get_with_retries functi...
""" Benchmarks of isotonic regression performance. We generate a synthetic dataset of size 10^n, for n in [min, max], and examine the time taken to run isotonic regression over the dataset. The timings are then output to stdout, or visualized on a log-log scale with matplotlib. This allows the scaling of the algorit...
from cyberbrain import Binding, InitialValue, Symbol from utils import assert_GetFrame def test_unpack(tracer, rpc_stub): l1 = [1, 2] numbers = [1, 2, 3, 4] m1 = m2 = {1: 2} tracer.start() a, b = "hi" # UNPACK_SEQUENCE a, b = l1 # UNPACK_SEQUENCE first, *rest = numbers # UNPACK_EX ...
import numpy as np import multiprocessing as mp import pyfftw from numpy import pi, exp, sqrt, sin, cos, conj, arctan, tanh, tan from numpy import heaviside as heav import matplotlib.pyplot as plt import h5py # ---------Spatial and potential parameters-------------- Mx = My = 64 Nx = Ny = 128 # Number of grid pts dx...
#!/usr/bin/env python # Copyright 2019 Google, Inc # # 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...
# encoding=utf-8 """ @Time: 2019/7/10 12:51 @Author: liushuo @File: init.py @Desc: @Software: PyCharm """ from demo2sql import db if __name__ == '__main__': db.create_all()
import uuid import django.utils.timezone import model_utils.fields from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): # lint-amnesty, pylint: disable=missing-class-docstring dependencies = [ ('student', '0001_squashed_0031_auto_20200317_1122...
import pandas import numpy seed = 42 numpy.random.seed(seed) import tensorflow as tf tf.set_random_seed(seed) import csv from sklearn.model_selection import cross_val_score from sklearn.model_selection import KFold from sklearn.preprocessing import LabelEncoder from sklearn.pipeline import Pipeline from keras.layers.co...
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from descarteslabs.common.proto.health import health_pb2 as descarteslabs_dot_common_dot_proto_dot_health_dot_health__pb2 class HealthStub(object): """Miss...
import argparse import time # from others.logging import init_logger # from prepro import data_builder from transformers import BertTokenizer def process_chinese_ids(args): add_token_list = ['[unused1]', '[unused2]', '[unused3]', '[unused4]', '[unused5]'] print(args.temp_dir) tokenizer = BertTokenizer.fro...
import io import os import pickle from typing import Union, Any, List import numpy as np import cv2 from googleapiclient.http import MediaIoBaseDownload # For google client imports import google import googleapiclient from google.auth.transport.requests import Request from google.oauth2.credentials import Credentia...
import sys, pygame from item import * pygame.init() # size represents the size size = width, height = 640, 480 # backgroundColor represents the background color backgroundColor = (100, 100, 100) # the speed of the first ball ballSpeed1 = [2,4] # the speed of the seoncd ball1 ballSpeed2 = [1,3] black = (0, 0, 0) whit...
"""Imprime a soma dos dígitos de um número inteiro.""" numero = int(input('Digite um número inteiro: ')) soma_dos_digitos = 0 while numero > 0: ultimo_digito = numero % 10 soma_dos_digitos += ultimo_digito numero = numero // 10 print(soma_dos_digitos)
# -*- coding: UTF-8 -*- from plc800stg.measure_events import PlcMeasureEventsParser from plc800stg.utils import assert_list_dict_eq from ast import literal_eval with description('Parse meter events from PLC800 with plc800stg'): with it('Parsing events'): input_events_plc = open('spec/data/09EVMarmol2003140...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import asyncio import time import unittest from syncer import sync from pyppeteer.errors import ElementHandleError, NetworkError, TimeoutError from .base import BaseTestCase from .frame_utils import attachFrame, detachFrame, dumpFrames, navigateFrame from .utils import...
# Generated by Django 3.0.8 on 2020-07-14 04:45 import datavalidation.results from django.db import migrations, models import django.db.models.deletion import enumfields.fields class Migration(migrations.Migration): initial = True dependencies = [ ('contenttypes', '0002_remove_content_type_name'), ...
# Copyright 2009 Yelp # # 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 writing, software ...
import numpy as np import matplotlib.pyplot as plt from bokeh import pyplot from bokeh import plotting x = np.linspace(-2 * np.pi, 2 * np.pi, 100) y = np.sin(x) plt.plot(x, y, "r-") plt.title("Matplotlib Figure in Bokeh") # dashed lines work #plt.plot(x,y,"r-x", linestyle="-.") pyplot.show_bokeh(plt.gcf(), filenam...
import sys as _sys from apodeixi.util.a6i_error import FunctionalTrace from apodeixi.cli.tests_integration.cli_test_skeleton import CLI_Test_Skeleton from apodeixi.cli.tests_integration.cli_basic_script import CLI_Basic_Script class Test_CL...
import numpy as np from models import rbm as rbm_mod def partition_function_exact(model, batchsize_exponent='AUTO'): # We transform the DBM to an RBM with restricted connections. rbm = rbm_mod.RBM(number_visibles = model.input + model.output, number_hiddens = model.hidden, ...
############################################################################### # Copyright Maciej Patro (maciej.patro@gmail.com) # MIT License ############################################################################### import unittest from cmake_tidy.parsing.cmake_parser import CMakeParser from cmake_tidy.lexic...
from asmdot import * # pylint: disable=W0614 from typing import Tuple header = '''// Automatically generated file. package {} import ( \t"bytes" \t"encoding/binary" \t"errors" \t"io" ) // Bypass unused module error if we don't have assertions. var _ = errors.New var ( \tinterbuf = [8]byte{{}} \tbyteOrder ...
default_app_config = 'geotrek.zoning.apps.ZoningConfig'
import praw import re import sumy import urllib from sumy.parsers.html import HtmlParser from sumy.nlp.tokenizers import Tokenizer from sumy.summarizers.edmundson import EdmundsonSummarizer as Summarizer from sumy.nlp.stemmers import Stemmer from sumy.utils import get_stop_words from sumy.utils import ItemsCount from r...
from polo2 import PoloDb import pandas as pd """ Consider deleting this; it has been replaced by Elements in the Flask app. However, there may be wisdom in putting something here for more general purpose use. """ class PoloReport(): def __init__(self, config, trial_name='trial1'): # Set some values ...
import pytest from i3_battery_block_vgg.font_awesome_glyphs import FA_BATTERY_LIST from i3_battery_block_vgg.html_formatter import color from i3_battery_block_vgg.html_formatter import discern_loading_state from i3_battery_block_vgg.html_formatter import wrap_span from i3_battery_block_vgg.html_formatter import wrap_s...
import pyautogui import random import time import cv2 takipEdilen = [] dil = input("Diliniz nedir?\n") saniye = float(input("Takipler arası süre varsayılan olarak rastgele 10-35 saniye arasında bir değer ile yapılır. Buna ek süre olarak kaç saniye eklemek istersin?\n")) time.sleep(1) print("Takip işlemi başl...
arguments = { "Usage": "python3 crypto.py ARGUMENT [OPTIONS]", "Values": { "-e": {"Name": "encrypt", "Help": "Encrypt data"}, "-d": {"Name": "decrypt", "Help": "Decrypt data"}, "-g": {"Name": "generate key", "Help": "Generate key"}, }, "MinArg": 1, "MaxArg": 1, "MutExc": ...
import datetime from .time_helpers import strptime, check_intervals from .mappings import WEIGHT_MAP def _unassigned_orders_in_time(orders, wh, courier = None, assign_time = None): assigned = False response_orders: list = [] working_hours: list = [ [strptime(str_time) for str_time in inter...
import argparse import os import sys import chainer import chainer.links as L import chainer.optimizers as O import matplotlib import numpy as np from chainer import training from chainer.backends import cuda from chainer.optimizer_hooks import GradientClipping from chainer.training import Trainer, extensions, trigger...
#!/usr/bin/env python3 import json import math from haversine import getDistance # state cache is a singleton, every threads share the same cache class Singleton(type): _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: cls._instances[cls] = super(Singleton, ...
from django.db import models class Produto(models.Model): descricao = models.CharField(max_length=100) valor_unid = models.DecimalField(max_digits=9, decimal_places=2) data_insercao = models.DateField(auto_now_add=True) status = models.BooleanField(default=True) class Mesa(models.Model): apelido =...
from azure.cosmos import CosmosClient,PartitionKey from apiclient.discovery import build from apiclient.errors import HttpError from oauth2client.tools import argparser import pandas as pd import datetime from api_miners import key_vault as kv """ Steps 1. Initialize the cosmos client 2. Update all videos For eac...
import torch import time import functools from .tools import sync_between_gpu, move2cuda def print_info(func): @functools.wraps(func) def wrapper(args, model, info, input, target): total_tok = info['total_tok'] cnt = info['cnt'] total_loss = info['total_loss'] ...
#!/usr/bin/env python import os import sys from ConfigParser import ConfigParser from optparse import OptionParser sys.path.insert( 1, os.path.join( os.path.dirname( __file__ ), os.pardir, 'lib' ) ) import galaxy.config from galaxy.model.util import pgcalc from galaxy.objectstore import build_object_store_from_confi...
#!/usr/bin/env python3 # -*- coding:utf-8 -*- # Copyright (c) 2021 PaddlePaddle 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/l...
# Copyright 2020 The MathWorks, Inc. from setuptools import setup, find_packages setuptools.setup( name="jupyter-matlab-vnc-proxy", packages=setuptools.find_packages(where='.'), version='0.1.0', description="Jupyter extension to provide MATLAB via VNC connection", keywords=["Jupyter"], entry_p...
""" ## Max Value ## Write a function, max_value, that takes in list of numbers as an argument. The function should return the largest number in the list. Solve this without using any built-in list methods. You can assume that the list is non-empty. """ from time import time # Defining a decorato...
import time import sys def fibonacci_recursive(n): if n==0: return 0 if n==1: return 1 fib = fibonacci_recursive(n-1) + fibonacci_recursive(n-2) return fib if __name__=='__main__': n = 30 sys.setrecursionlimit(2000) start_time = time.time() result = fibonacci_recursive...
# -*- coding: utf-8 -*- """Test: buildtool.py """ import unittest import os import sys from io import StringIO from builder.testutils import print_test_title from builder import action as act from builder import enums as em from builder import person as psn from builder import day as dy from builder import stage as stg...
import json from configs import ES_MDR_RECORD_INDEX_NAME from elasticsearch import Elasticsearch elasticsearch_host = 'http://localhost:9200/' es_client = Elasticsearch([elasticsearch_host], verify_certs=True) # JSON file with mdr record index description with open('./indices/mdr_record.json') as mdr_record_idx: ...
# -*- coding: utf-8 -*- """ Created on Wed Oct 14 13:15:04 2020 @author: tom """ import pybamm import numpy as np import sys import matplotlib.pyplot as plt import ecm plt.close('all') Nspm = 20 options = { "current collector": "potential pair", "dimensionality": 1, "thermal": "lumped", } model = pyb...
# -*- coding: utf-8 -*- from django.db import models from imagekit.models import ImageSpecField from pilkit.processors import ResizeToFit from django.utils.safestring import mark_safe from django.db.models.signals import post_save, pre_save, pre_delete from social_network.core.models import (cleaning_files_pre_save,...
""" Following are some helper functions for Assignment 1. """ def convert_pos(pos) : """ Converts universal a pos tag to a compatible universal pos inn Brown corpus. """ if pos=="CCONJ" : return "CONJ" elif pos=="AUX" : return "VERB" elif pos=="INTJ" : return "X" eli...
#!/usr/bin/env python3 from gevent import monkey; monkey.patch_all() from arago.actors import Actor, Root import arago.actors.pattern_matching as matching from arago.common.logging import getCustomLogger logger = getCustomLogger(level="WARNING") class PingPong(Actor): def serve(self, opponent): opponent.tell("Ping...
# -*- coding: utf-8 -*- # # This file is part of GetTor, a Tor Browser distribution system. # # :authors: Israel Leiva <ilv@torproject.org> # see also AUTHORS file # # :copyright: (c) 2015, The Tor Project, Inc. # (c) 2015, Israel Leiva # # :license: This is Free Software. See LICENSE for lice...
from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(request): return HttpResponse("Saludos desde la vista app") def suma(request,num1,num2): op1 = int(num1) op2 = int(num2) html = "<html><body>La suma de los numeros es: %s </body></html>" % (op...
import turtle t = turtle.Turtle() t.speed(10) turtle.bgcolor("white") t.color("white") turtle.title('Netflix Logo made by Saksham Aggarwal') t.up() t.goto(-80,50) t.down() t.fillcolor("black") t.begin_fill() t.forward(200) t.setheading(270) s = 360 for i in range(9): s = s - 10 t.setheading(s) t.forward(10)...
import httplib # Used only for handling httplib.HTTPException (case #26701) import os import platform import re import urllib import urllib2 import traceback import time from StringIO import StringIO from kunai.log import logger from kunai.collector import Collector class Mongodb(Collector): def launch(self): ...
import os import unittest from ioc.container import load_container from ioc.container.provision import Provision import ioc DEPS_FILE = os.path.join(os.path.dirname(__file__), 'ioc.xml') DEPS_FILE2 = os.path.join(os.path.dirname(__file__), 'ioc-overwrite.xml') class ContainerInjectionTestCase(unittest.TestCase): ...
import heapq # Dijkstra's shortest path. class Dijkstra: # start_node: node where we start to search. # end_node: node where to stop. # max_value: value larger than sum of all possible costs. # get_neighbors(node): get list of neighbors of node. # get_cost(node1, node2): get cost of going from nod...
from PySide6.QtWidgets import QApplication, QMainWindow, QLineEdit from PySide6.QtCore import Qt import sys class Componentes(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle("Componentes") # creamos un nuevo componente QLineEdit linea_texto = QLineEdit() ...
from zipfile import ZipFile import requests from django.conf import settings from metadata.utils import get_metadata_queryset __all__= ['DataSelectionZipIterator'] class DataSelectionZipIterator: '''Iterator that returns the files corresponding to data selections as one big zip file''' def __init__(self, data_...
import numpy as np from tuun.main import Tuun from examples.branin.branin import branin config = { 'seed': 11, 'acqfunction_config': {'name': 'default', 'acq_str': 'ei', 'n_gen': 500}, 'acqoptimizer_config': {'name': 'neldermead', 'n_init_rs': 10}, 'model_config': {'name': 'standistmatgp'}, } tu = Tuun...
import os from django.conf import settings from pytz import timezone from rest_framework import serializers from rest_framework.validators import UniqueValidator from content_management.models import ( Build, Cataloger, Content, Coverage, Creator, Directory, DirectoryLayout, Keyword, Language, Subject, Workarea )...
from dataclasses import dataclass, field from typing import List, Dict,Callable import numpy as np from cytoolz import curry import ast from pathlib import Path from ipywidgets import (Layout,Box,HTML,Output,Text,Button) #NOTE: not recommended use `pipenv install`. # But using it alternative will take lot to time to ...
from builtins import map from builtins import range from builtins import object import unittest import ROOT import os from PyAnalysisTools.PlottingUtils import HistTools as ht from PyAnalysisTools.base import InvalidInputError cwd = os.path.dirname(__file__) ROOT.gROOT.SetBatch(True) class PlotConfig(object): pa...
#! /usr/bin/env python3 #! -*- coding: utf-8 -*- import os, struct, argparse from PIL import Image import fsutils from unicodeutils import UnicodeUtils DEF_YAML_PATH = './etl_data_def.yml' DATA_DIR_ROOT = './etl_data' OUTPUT_ROOT = '{}/images'.format(DATA_DIR_ROOT) def _read_record(f, data_format): s = f.read(...
# Definition for singly-linked list. class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: def reverseKGroup(self, head: ListNode, k: int) -> ListNode: # from powcai # Space O(k), k in [1, n] if k == 1: return head dumm...
from __future__ import print_function, division import rawpy import exifread import numpy as np import os.path as path import collections import skimage.io as io from . import file_io import matplotlib.pyplot as plt image_readers = [] def retrieve_color_section(image, color): if color is None or len(image.shape)...
from __future__ import absolute_import from __future__ import unicode_literals import re import sys from blazeutils.helpers import tolist from blazeutils.decorators import deprecate def tb_depth_in(depths): """ looks at the current traceback to see if the depth of the traceback matches any number in the...
#!/usr/bin/env python """ Copyright (c) 2018 Robert Bosch GmbH All rights reserved. This source code is licensed under the BSD-3-Clause license found in the LICENSE file in the root directory of this source tree. @author: Jan Behrens """ import geometry_msgs import visualization_msgs.msg from roadmap_tools.scene_obj...
#! /usr/bin/python3 import sys sys.path.insert(0, ".") import point def cmp(r, t): epsilon = 0.0001 for p in zip(r, t): assert(abs(p[0] - p[1]) < epsilon) def test_Point(): cmp(point.return_Point(), (193, 216)) point.receive_Point(point.Point(87, 97)) def test_Point2i(): cmp(point.re...
#!/usr/bin/env python # * coding: utf8 * """ cloudb Usage: cloudb enable extensions cloudb create schema [--schemas=<name>] cloudb create admin-user cloudb create read-only-user cloudb create indexes cloudb drop schema [--schemas=<name>] cloudb import [--missing --dry-run --skip-if-exists] cloudb trim ...
""" This is a temporary module intended for testing purposes; we will move it later to sklab-util """ import importlib.util import inspect import os import shutil import subprocess as sp import sys import tempfile from concurrent.futures import ThreadPoolExecutor from functools import reduce from queue import Queue fr...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...
import time from scrapy import Spider from autoinfo.decoders import ResponseDecoder, RequestBuilder from autoinfo.services import AutoDetailsService from scrapper.scrapper.spiders.errors import RequestBannedError, BadResponseError class AutoInfoBaseSpider(Spider): allowed_domains = ['online.autoinfo.com.au'] ...
class Solution: def search(self, nums, target): """ :type nums: List[int] :type target: int :rtype: bool """ nums.sort() for e in nums: if e > target: break elif e == target: return True return Fa...
r""" .. autofunction:: openpnm.models.physics.diffusive_conductance.ordinary_diffusion .. autofunction:: openpnm.models.physics.diffusive_conductance.taylor_aris_diffusion .. autofunction:: openpnm.models.physics.diffusive_conductance.generic_conductance """ import scipy as _sp def ordinary_diffusion(target, ...
# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2016-10-19 12:24 from __future__ import unicode_literals from django.db import migrations, models import taggit.managers class Migration(migrations.Migration): dependencies = [ ('artcase', '0003_auto_20161001_1834'), ] operations = [ ...
import sys sys.path.append('..') import gc import numpy as np import cv2 import os.path from tensorflow.keras import backend as K from tensorflow.keras.utils import plot_model import debugger from deeplabv3 import Deeplabv3 from deep_neural_net import * from predict_data_generator import DataGenerator from UserParams...
#!/usr/bin/env python3 from turtle import position import cv2 import depthai as dai import contextlib import time import numpy as np import math from envHandler import toList # size = 6.125 # paddle (inches) size = 1.57 # ball (inches) # define range of white color in HSV # change it according to your need ! # paddl...
from contextlib import contextmanager import random import string import tempfile from unittest import mock import docker import pandas as pd import pytest import pytz from requests.auth import HTTPBasicAuth import requests from tzlocal import get_localzone from jira_offline.cli.utils import _get_issue, _get_project...
""" https://practice.geeksforgeeks.org/problems/check-if-subtree/ Given two binary trees with head reference as T and S having at most N nodes. The task is to check if S is present as subtree in T. A subtree of a tree T1 is a tree T2 consisting of a node in T1 and all of its descendants in T1. """ class TreeNode: ...