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import time import numpy from lib.training_data import TrainingDataGenerator, stack_images class Trainer(): random_transform_args = { 'rotation_range': 10, 'zoom_range': 0.05, 'shift_range': 0.05, 'random_flip': 0.4, } def __init__(self, model, fn_A, fn_B, batch_size, *ar...
#!/usr/bin/python3 import requests import csv import os import datetime import time import classes.scrap as scrap def filename(job, city): # Create filename according to inputs and date current_date = datetime.datetime.now() current_date_format = current_date.strftime("%m-%d-%Y-%Hh%M") current_date_fo...
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: MIT-0 DDB_ID = 'id' DDB_INVOCATION_ID = 'invocationId' DDB_TABLE_NAME = 'DDB_TABLE_NAME' # This is as per LambdaToDynamoDB AWS construct so do not change value. DDB_TTL = 'TTL' DDB_FINISHED_EVENT_DETAILS = 'finished_event_...
import os from functools import reduce from ehive.runnable.IGFBaseProcess import IGFBaseProcess from igf_data.utils.fileutils import get_datestamp_label class CollectExpAnalysisChunks(IGFBaseProcess): def param_defaults(self): params_dict=super(CollectExpAnalysisChunks,self).param_defaults() params_dict.upda...
# -*- coding: utf-8 -*- # Generated by Django 1.11.15 on 2019-07-08 12:18 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('organizations', '0013_remove_organizationcontact_organization'), ] operations = [ ...
from x_rebirth_station_calculator.station_data.station_base import Module from x_rebirth_station_calculator.station_data.station_base import Production from x_rebirth_station_calculator.station_data.station_base import Consumption from x_rebirth_station_calculator.station_data import wares names = {'L044': 'Soy Beaner...
from __future__ import print_function import sys import os def __sys(cmd, fmt=None, echo=True): """Executes a string of OS commands and returns the a list of tuples (return code,command executed)""" if not fmt: fmt = {} r = [] for cmd in [x for x in (cmd % fmt).split("\n") if len(x)]: i...
from ooi_harvester.settings.main import harvest_settings __all__ = ["harvest_settings"]
# -*- coding: utf-8 -*- """The session command.""" import json from .base import Base from jira.api.jira_client import JiraClient class Session(Base): """Manage sessions""" def run(self): #print('You supplied the following options:', json.dumps(self.options, indent=2, sort_keys=True)) self.j...
from django.contrib import admin from .models import User, Movie, Rating # Register your models here. admin.site.register(User) admin.site.register(Movie) admin.site.register(Rating)
import cv2 faceCascade = cv2.CascadeClassifier('FacialRecognition/haarcascade_frontalface_default.xml') cap = cv2.VideoCapture(0) cap.set(3, 640) # set Width cap.set(4, 480) # set Height while True: ret, img = cap.read() img = cv2.flip(img, 1) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = faceC...
from django.http import Http404 from rest_framework import generics, permissions, status from rest_framework.response import Response from rest_framework.views import APIView from .serializers import QuestionSerializer, ChoiceSerializer from questions.models import Question, Choice class CreateQuestion(generics.Creat...
#!/usr/bin/python from time import sleep from mininet.net import Mininet from mininet.node import Controller, OVSKernelAP from mininet.link import TCLink from mininet.cli import CLI from mininet.log import setLogLevel def topology(): "Create a network." net = Mininet(controller=Controller, link=TCLink, acces...
from __future__ import annotations import typing import datetime import numpy as np from .core import PassType from ..constants import R_EARTH from ..time import julian_date from .core import PassType from ..constants import R_EARTH if typing.TYPE_CHECKING: from .observer import Observer class VisualPoints(typ...
import os from datetime import datetime from additional_info import logs, timestamp_format, sub_dir from dir_structure_generator import dir_structure_generator from dataset_downloader import dataset_downloader from dataset_extractor import Data_Extractor def main(): """ This is the base function whill will cal...
import json from jsonpath_rw_ext import parse import requests import codecs REGIONS_MAP = { 'US West (N. California)': 'us-west-1', 'Asia Pacific (Tokyo)': 'ap-northeast-1', 'Asia Pacific (Seoul)': 'ap-northeast-2', 'US West (Oregon)': 'us-west-2', 'South America (Sao Paulo)': 'sa-east-1', 'US ...
#!/usr/bin/python import sys import re file = sys.argv[1] id_file = False # other modes: all, strip_parens, strip_contents mode = "none" for line in open(file): line = line[:-1] first_paren = line.rfind("(") trans = line[:first_paren] id = line[first_paren+1:-1] if len(trans) > 0: ...
''' Runs SPOT (greedy) / CART algorithm on Yahoo News dataset Outputs algorithm decision costs for each test-set instance as pickle file Also outputs optimal decision costs for each test-set instance as pickle file Takes multiple input arguments: (1) max_depth: training depth of tree, e.g. "5" (2) min_weights_per_n...
class Solution(object): max = 0 count = 0 def maxAreaOfIsland(self, grid): """ :type grid: List[List[int]] :rtype: int """ self.max=0 for r in xrange(len(grid)): for c in xrange(len(grid[0])): self.count = 0 self.exp...
# TODO: Generlize it and move it the model folder import numpy as np import torch import torch.nn as nn from torch.optim import Adam from tensorboardX import SummaryWriter import collections use_cuda = torch.cuda.is_available() FloatTensor = torch.cuda.FloatTensor if use_cuda else torch.FloatTensor LongTensor = torch....
import os import sublime import sublime_plugin from .WebOS import WebosCommand class WebosInstallCommand(sublime_plugin.WindowCommand, WebosCommand): appinfo_data = None def run(self): appinfo_path = self.get_appinfo_path() if not appinfo_path: sublime.error_message('ERROR: "app...
''' Random Relu Features. ''' import numpy as np from sklearn.neighbors import NearestNeighbors from sklearn.utils import check_array, check_random_state from sklearn.utils.validation import check_is_fitted # Import the feature mapping base class from MRCpy.phi import BasePhi class RandomReLUPhi(BasePhi): ''' ...
# -*- coding: utf-8 -*- import requests import json import pandas as pd from datetime import datetime, timedelta def reindex(df, start_date, end_date, freq): date = pd.date_range(start = datetime(*start_date), end = datetime(*end_date), freq = freq) date = [pd.Timestamp(x) for x in date] df = ...
# coding=utf-8 import math import os from os import listdir import PIL.Image as Image import itchat from numpy import * itchat.auto_login(enableCmdQR=False) friends = itchat.get_friends(update=True)[0:] user = friends[0]["UserName"] print(user) os.mkdir(user) num = 0 for i in friends: img = itchat.get_head_...
# coding=utf-8 """Test fixtures.""" # Copyright (c) 2018 Stefan Braun # # 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, ...
import sys import archon.facade as facade import archon.broker as broker import archon.markets as markets import archon.model.models as m import archon.exchange.exchanges as exc from archon.util import * import time import datetime from util import * #from order_utils import * import math import archon.exchange.e...
from filecmp import cmp from pathlib import Path from shutil import rmtree from unittest import TestCase import boto3 from boto3 import resource from data_loader_plugin.s3 import DataLoader from moto import mock_s3 class TestExternalDataLoad(TestCase): def setUp(self) -> None: self.dir_name = "external_d...
# Copyright 2017 Neural Networks and Deep Learning lab, MIPT # # 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 applicab...
''' Time: 32 ms Space: 13.7 MB python3 ''' class Solution: def kthGrammar(self, N: int, K: int) -> int: # time O(N) or O(logk) for traversing the tree of depth N # space O(N) or O(logk) for the recursive call stack if N == 1: return 0 trans = {'0': '0...
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class PyOpentuner(PythonPackage): """An extensible framework for program autotuning.""" hom...
# Copyright 2014, Google Inc. All rights reserved. # Use of this source code is governed by a BSD-style license that can # be found in the LICENSE file. import logging # mapping from protocol to python class. The protocol matches the string # used by vtctlclient as a -vtctl_client_protocol parameter. vtctl_client_co...
from django.apps import AppConfig class StorageappConfig(AppConfig): name = 'storageApp'
def fib(n): """ Write a recursive function to return the nth Fibonacci number. The Fibonacci sequence is 0, 1, 1, 2, 3, 5, 8, 13, .... """ if n == 1: return 0 if n == 2: return 1 return fib(n - 1) + fib(n - 2) def fib_iterative(n): """ Write an iterative functio...
from __future__ import absolute_import import six import re from rest_framework import serializers from rest_framework.exceptions import PermissionDenied from sentry.models import Project, ProjectStatus from sentry.api.fields.empty_integer import EmptyIntegerField from sentry.api.serializers.rest_framework import Lis...
# Name : Pranav Bhandari # Student ID: 1001551132 # Date : 11/04/2020 import sys, math, numpy as np class Data: def __init__(self, distance, classlabel): self.distance = distance self.classlabel = classlabel def __lt__(self, other): return self.distance < other.distanc...
import re file = open('./input', 'r') lines = file.readlines() lines = list(map(lambda line: line[:-1], lines)) def list_to_string(l): s = '' for c in l: s += c return s max_id = 0 for line in lines: row_raw = line[:7] col_raw = line[7:] row_bin = list_to_string(list(map(lambda c: '0' if c == 'F' else '...
from http import client from pydoc import resolve from django.test import TestCase,Client from django.urls import reverse,resolve from teproj.views import home,api from teproj.models import TestModel import json class TestViews(TestCase): def setUp(self): self.client=Client() def test_project_list_GET...
from requests import get import os from uuid import uuid4 import logging class File: def __init__(self, url): self.url = url self.filename = url.split("/")[-1] self.path = "" def read(self): if not self.path: self.path = os.path.join(os.environ.get("TASKS_UPLOAD_FO...
from Bio import SeqIO import pandas as pd import numpy as np import math import re import os def invert_new(pdDataFrame, No_genes, pd_column_index, gene_description): pdDataFrame_dict = pdDataFrame.to_dict() new_pdDataFrame_dict = {} for i in No_genes.index: new_pdDataFrame_dict[i] = list(pdDataFr...
# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function import errno import os import six import sys from vistir.compat import FileNotFoundError if six.PY2: class FileExistsError(OSError): def __init__(self, *args, **kwargs): self.errno = errno.EEXIST super...
import numpy as np from state_evolution import next_state def mock_odo_gps_data(state, ip): odo = [] gps = [] perfect_world = [] for _ in range(50): state = next_state(state, ip) # state update perfect_world.append(state) odo.append(state + np.random.normal([0,0,0], [0.1, 0.1, ...
#!/usr/bin/env python # -*- coding: utf-8 -*- import bisect class Region(object): __slots__ = ["a", "b"] def __init__(self, a, b): assert isinstance(a, int) assert isinstance(b, int) self.a = a self.b = b def __str__(self): return "Region({}, {})".format(self.a, ...
from sqlalchemy import Column from sqlalchemy.types import JSON, Text, Boolean, TIMESTAMP, BigInteger from sqlalchemy.dialects import postgresql as psql from steampipe_alchemy.mixins import FormatMixins from steampipe_alchemy import Base class AwsWafv2RuleGroup(Base, FormatMixins): __tablename__ = 'aws_wafv2_rule...
from django.conf import settings from django.conf.urls.static import static from django.contrib import admin from django.urls import include, path, re_path from rmp.views import ( index, contact, about, databases, rmp, tri, nrc, rcris, brs, ) urlpatterns = [ path('admin/', admin....
import functools import numbers from typing import List, Union import numpy as np import open3d as o3d # type: ignore from . import geom3d def vec2vec_rotation(unit_vec_1, unit_vec_2): angle = np.arccos(np.dot(unit_vec_1, unit_vec_2)) if angle < 1e-8: return np.identity(3, dtype=np.float64) if...
import pandas as pd from matplotlib.axes import Axes from pyhdx.fileIO import csv_to_protein from functions.base import settings_dict from functions.formatting import * from functions.logging import write_log write_log(__file__) output = 'save' output_dir = current_dir / 'figures' / 'Fig_1' output_dir.mkdir(parents...
from unittest import TestCase from oeem_uploader.request import Request class TestRequest(TestCase): @classmethod def setUp(self): self.request = Request() def test_get_requests_of_projects(self): r = self.request.get('projects') self.assertEqual(r.status_code, 200)
#!/usr/bin/env python3 # Display-O-Tron 3000 specific libraries - Install instructions https://tinyurl.com/y653jp56 from dot3k import lcd from dot3k import backlight from dot3k import joystick as nav # Python specific libraries from gpiozero import CPUTemperature, PingServer from time import sleep import signal impor...
""" evaluate OOD detection performance through AUROC score Example: python evaluate_cifar_ood.py --dataset FashionMNIST_OOD \ --ood MNIST_OOD,ConstantGray_OOD \ --resultdir results/fmnist_ood_vqvae/Z7K512/e300 \ --ckpt model_epoch_280.pkl \ --config Z7K512.yml \ ...
from .white_list import is_word_white_listed
import sys def getTurn(board): return bin(board).count("1") % 2 == 0 def printBoard(n): sys.stdout.write("\n") sys.stdout.write("\n | ") t = 0 mask = 2 while mask <= 2**9: t += 1 if n & mask == mask: sys.stdout.write("x | ") elif n & (mask << 9) == (mask <<...
import connexion import six from fabric_cm.credmgr.swagger_server.models.request import Request # noqa: E501 from fabric_cm.credmgr.swagger_server.models.success import Success # noqa: E501 from fabric_cm.credmgr.swagger_server import util from fabric_cm.credmgr.swagger_server.response import tokens_controller as rc...
from guardian.shortcuts import get_objects_for_user from django.http import Http404, HttpResponseRedirect from django.db.models import Count from django.core.urlresolvers import reverse from django.shortcuts import render, get_object_or_404 from vdw.samples.models import Sample, Project, Batch, Cohort from .forms impor...
""" Trading-Technical-Indicators (tti) python library File name: _relative_strength_index.py Implements the Relative Strength Index technical indicator. """ import pandas as pd from ._technical_indicator import TechnicalIndicator from ..utils.constants import TRADE_SIGNALS from ..utils.exceptions import NotEnoug...
import albumentations as A import pytorch_lightning as pl from albumentations.pytorch import ToTensorV2 from dretino.dataloader.utils import get_sampler, CustomDataset from torch.utils.data import DataLoader def create_dataloader( df_train, df_valid, df_test, train_path, valid_path, test_path,...
""" Miscellaneous utilities for wallscraper """ from fractions import Fraction import sys import pathlib WALLPAPER_FOLDER = pathlib.Path(__file__).parent / 'wallpapers' def get_aspect_ratio(width, height): # Credit to https://en.wikipedia.org/wiki/Aspect_ratio_(image) common = [ (4, 3), # (COMMON) ...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ 变量的过滤条件 """ import json import re from collections import OrderedDict from .util import utf8, text from value_type import is_value_type_supported class Filter(object): def __init__(self, source, object, object_type, object_subtype, operation, value, type, para...
#!python3 # Definition for singly-linked list. class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: def addTwoNumbers(self, l1, l2): """ :type l1: ListNode :type l2: ListNode :rtype: ListNode """ head = ListNode(...
# -*- coding: utf-8 -*- """Top-level package for stacklog.""" __author__ = 'Micah Smith' __email__ = 'micahjsmith@gmail.com' __version__ = '1.1.0' import time from collections import defaultdict from functools import wraps from ._time_formatters import format_time from .compat import clearlist, getnargs __all__ = ...
"""Utilities for real-time data augmentation on image data. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from keras_preprocessing import image random_rotation = image.random_rotation random_shift = image.random_shift random_shear = image.random_shear...
import os, re, sys from jinja2 import Environment, FileSystemLoader, select_autoescape """ Apply Default Values to Jinja Templates This script applies default values to mediawiki LocalSettings.php file. The configuration templates are useful for Ansible, but this is useful for experiments/one-offs. All configurat...
from matplotlib.ticker import MaxNLocator from matplotlib.colors import LinearSegmentedColormap import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np import seaborn as sns sns.set() mpl.use("Agg") color_map = LinearSegmentedColormap.from_list( 'gr', ["g", "w", "r"], N=256) # Red and Green ...
""" Change directory to provide relative paths for doctests >>> import os >>> filepath = os.path.dirname( os.path.realpath( __file__ ) ) >>> datadir = os.path.realpath(os.path.join(filepath, '../../testing/data')) >>> os.chdir(datadir) """ import os from nipype.interfaces.base import (CommandLineI...
import unittest import numpy as np from control.sisotool import sisotool from control.tests.margin_test import assert_array_almost_equal from control.rlocus import _RLClickDispatcher from control.xferfcn import TransferFunction import matplotlib.pyplot as plt class TestSisotool(unittest.TestCase): """These are tes...
from detectron2.engine import DefaultPredictor from detectron2.config import get_cfg from detectron2.data import MetadataCatalog from detectron2.utils.visualizer import ColorMode, Visualizer from detectron2 import model_zoo import cv2 import numpy as np class Detector: def __init__(self): self.cfg = get_c...
############################################################################## # # Copyright 2019 Leap Beyond Emerging Technologies B.V. (unless otherwise stated) # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may ...
import argparse import sys import log import json import os import time import threading import pyperclip class ClipboardWatcher(threading.Thread): def __init__(self, history): super(ClipboardWatcher, self).__init__() self._history = history self._stopping = False def run(self): ...
import os, time, sys, subprocess, platform from colored import fg, bg, attr R = "\033[1;31m" # RED B = "\033[1;34m" # BLUE C = "\033[1;36m" # CYAN G = "\033[1;32m" # GREEN Y = "\033[1;93m" # YELLOW N = "\033[0m" # NORMAL B = "\033[1m" # BOLD P = "\033[35m" # PURPLE U = "\033[4m" # ...
import time from tqdm import tqdm print("WELCOME TO HACKERS VS COMPUTER SECURITIES") time.sleep(2) print("A long war is fought for decades between hackers and computer securites. Now its upon you what you'll do i.e either hack or secure") time.sleep(6) playername = input("Enter your name:") time.sleep(1.5) choice = in...
#!python3.6 #encoding:utf-8 import codecs text = '日本語' print('----- codecs.encode() -----') for enc in ['utf-8', 'utf-16LE', 'utf-16BE', 'utf-32', 'shift-jis', 'euc-jp']: print(text, enc, codecs.encode(text, encoding=enc, errors='strict')) print('----- str.encode() -----') for enc in ['utf-8', 'utf-16LE', 'utf-16BE...
# -------------------------------------------------------- # Deep Iterative Matching Network # Licensed under The Apache-2.0 License [see LICENSE for details] # Written by Yi Li, Gu Wang # -------------------------------------------------------- from __future__ import division, print_function import os import cv2 impor...
'''grover search 5''' import numpy import qvantum q0 = qvantum.Qubit(1, 0) q1 = qvantum.Qubit(1, 0) q2 = qvantum.Qubit(1, 0) q3 = qvantum.Qubit(0, 1) r = qvantum.Register([q0, q1, q2, q3]) print(r.show()) l0 = qvantum.Layer([qvantum.Hadamard(), qvantum.Hadamard(), qvantum.Hadamard(), qvantum.Hadamard()]) l1 = qvant...
from math import ceil import numpy as np from sklearn.cluster import KMeans from sklearn.metrics.pairwise import rbf_kernel from sklearn.metrics import pairwise_distances from sklearn.preprocessing import StandardScaler import networkx as nx import community from .utils import create_rng def build_v_matrix(X, y): ...
import numpy as np import matplotlib.pyplot as plt import pandas as pd def decisionTreeStruct(model): n_nodes = model.tree_.node_count children_left = model.tree_.children_left children_right = model.tree_.children_right feature = model.tree_.feature threshold = model.tree_.threshold nod...
import pytest from tests import _PATH_DATA from src.data.make_dataset import * "Testing the size of the dataset" @pytest.mark.skipif(not os.path.exists(_PATH_DATA), reason="Data does not exist") def test_data_length(): data= load_dataset('data/raw/reviews_Amazon_Instant_Video_5.json.gz') assert len(data) == 3...
# # lambek.py # # Edward Loper # Created [12/10/00 03:41 AM] # $Id$ # """Lambek Calculus Theorem Prover """ # For while I'm coding.. #import term;reload(term) #import typedterm; reload(typedterm) _VERBOSE = 0 _VAR_NAMES = 1 _SHOW_VARMAP = not _VAR_NAMES from term import * from typedterm import * from lexicon impor...
import ulab from ulab import poly from ulab import vector # polynom evaluation x = ulab.linspace(0, 10, num=9) p = [1, 2, 3] y = poly.polyval(p, x) print(y) # linear fit x = ulab.linspace(-5, 5, num=11) y = x + vector.sin(x) p = poly.polyfit(x, y, 1) print(p) # quadratic fit x = ulab.linspace(-5, 5, num=11) y = x*x ...
import sims4.log from interactions.payment.payment_cost import PaymentAmount, PaymentAmountUpTo, PaymentBaseDiningBill, PaymentBaseRetailValue, PaymentBills, PaymentBusinessAmount, PaymentCatalogValue, PaymentCurrentValue, PaymentDialog, PaymentFromLiability, PaymentUtility from interactions.payment.payment_source impo...
from dbt.runner import RunManager from dbt.logger import GLOBAL_LOGGER as logger # noqa class ArchiveTask: def __init__(self, args, project): self.args = args self.project = project def run(self): runner = RunManager( self.project, self.project['target-path'],...
from typing import List class Solution: def floodFill(self, image: List[List[int]], sr: int, sc: int, newColor: int) -> List[List[int]]: """ DFS approach v = Vertices e = Edges d = Depth Time complexity: O(v + e) Space complexity: O(d) """ ...
from rpython.rtyper.lltypesystem import lltype, llmemory, rffi, rclass, rstr from rpython.rtyper.lltypesystem.lloperation import llop from rpython.rtyper.llinterp import LLInterpreter from rpython.rtyper.annlowlevel import llhelper, cast_instance_to_base_ptr from rpython.rlib.objectmodel import we_are_translated, speci...
import numpy as np import torch class Hook(): def __init__(self, module, backward=False): if backward==False: self.hook = module[1].register_forward_hook(self.hook_fn) self.name = module[0] else: self.hook = module[1].register_backward_hook(self.hook_fn) self.name = module[0] def hook_fn(self, module...
#!/usr/bin/env python """ A dcmtk style echoscu application. Used for verifying basic DICOM connectivity and as such has a focus on providing useful debugging and logging information. """ import argparse import logging from logging.config import fileConfig import os import socket import sys import t...
from django.conf import settings from django.core.management.base import BaseCommand from django.contrib.auth.models import User from django.utils import timezone from apps.printers.models import Printer, PaperLogEntry import urllib2 import json from datetime import timedelta sheets_per_box = 2500.00 class Command(B...
import sys import logging import re import os import dill import inspect import itertools from collections import OrderedDict import numpy as np from gensim.models.doc2vec import TaggedDocument from gensim.models import Doc2Vec, Word2Vec import fasttext import keras import keras.preprocessing import keras.preproce...
import os import sys from os.path import join from distutils.util import strtobool from django.core.exceptions import ImproperlyConfigured import dj_database_url from configurations import Configuration from sentry_sdk.integrations.django import DjangoIntegration from sentry_sdk.integrations.redis import RedisIntegrat...
################################# ## test_rklearn_perceptron.py ## ################################# # Usage: # (...) $ cd <top_dir> # (...) $ python rklearn/tests/test_rklearn_perceptron.py --conf rklearn/tests/config/config.yaml ############# ## Imports ## ############# import unittest import os import sys impor...
# This is a generated file, do not edit from typing import List import pydantic from ..rmf_task_msgs.TaskProfile import TaskProfile class DispatchRequest(pydantic.BaseModel): fleet_name: str = "" # string task_profile: TaskProfile = TaskProfile() # rmf_task_msgs/TaskProfile method: pydantic.conint(ge...
import urllib from django.db import models from django.contrib.auth.models import User from managers import TokenManager, ConsumerManager, ResourceManager from consts import KEY_SIZE, SECRET_SIZE, CONSUMER_KEY_SIZE class Nonce(models.Model): token_key = models.CharField(max_length=KEY_SIZE) consumer_key = m...
import io import time import logging import platform import itertools import pkg_resources from concurrent.futures import Future import amqpframe import amqpframe.methods from amqpframe.frames import FRAME_MIN_SIZE from fsmpy import FunctionalMachine from . import fsm from . import channel from . import exceptions f...
class EskizException(Exception): pass class BadRequest(EskizException): pass class InvalidCredentials(EskizException): pass class TokenBlackListed(EskizException): pass class UpdateRetryCountExceeded(EskizException): pass
import abc import numpy as np # # This abstract base class that is the contract for creating Keras NN Models. # class Model(metaclass=abc.ABCMeta): # # Return a Keras model, There is no expectation about the NN architecture. # @abc.abstractmethod def new_model(self): pass # # ...
import time import datetime def format_time(elapsed): ''' Takes a time in seconds and returns a string hh:mm:ss ''' # Round to the nearest second. elapsed_rounded = int(round((elapsed))) # Format as hh:mm:ss return str(datetime.timedelta(seconds=elapsed_rounded))
# -*- coding: utf-8 -*- """ Created on Sun May 16 20:45:45 2021 @author: WEN """ import numpy as np import collections class LinearTransform: def __init__(self, A, **kwargs): self._pre = kwargs.get('pre', None) self._post = kwargs.get('post', None) A = np.array(A, copy=True) if A...
import datetime as dt import threading from difflib import SequenceMatcher from beartype.typing import List, Optional, Union from beartype import beartype from flet.protocol import Command from flet.ref import Ref try: from typing import Literal except: from typing_extensions import Literal BorderStyles = ...
# Copyright (c) 2021 Horizon Robotics and ALF Contributors. 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...
# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # 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...
"""Jena/Fuseki data API client to manage data.""" from .base import FusekiBaseClient from ..utils import build_http_file_obj class FusekiDataClient(FusekiBaseClient): """Fuseki 'data' API client (data service).""" def _build_uri(self, ds_name, *, service_name=None): """Build service URI. :p...
import web import application.models.model_clientes as model_clientes #Importa el modelo personas render = web.template.render('application/views/clientes/', base='../principal/master') #Configura la ubicacion de las vistas
# -*- coding: utf-8 -*- """GPS module.""" import datetime import gpsd import logging class GPS: """GPS reading module. Attributes: gpsd The gpsd daemon that is used to receive the GPS data lastposition Last GPS position measured lasttimeupdate Last time that the GPS ha...