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11548607
def is_palindrome(s): return s[::-1] == s def get_nearest_palindrome(s): if is_palindrome(s): return s if s[0] == s[-1]: return s[0] + get_nearest_palindrome(s[1:-1]) + s[-1] else: pal_1 = s[0] + get_nearest_palindrome(s[1:]) + s[0] pal_2 = s[-1] + get_nearest_palindr...
11548610
class EnvironmentSettings: def __init__(self): self.workspace_dir = '/home/lichao/projects/pytracking_lichao/train_ws/' # Base directory for saving network checkpoints. self.tensorboard_dir = self.workspace_dir + '/tensorboard/' # Directory for tensorboard files. self.lasot_dir = '/med...
11548614
import matplotlib.pyplot as plt import shogun as sg import util plt.title('LDA') util.DISTANCE = 0.5 gamma = 0.1 # positive examples pos = util.get_realdata(True) plt.plot(pos[0, :], pos[1, :], "r.") # negative examples neg = util.get_realdata(False) plt.plot(neg[0, :], neg[1, :], "b.") # train lda labels = util.g...
11548617
from decimal import Decimal import pytest from stockholm import InvalidOperandError, Money def test_simple_addition() -> None: m1 = Money(0) assert isinstance(m1, Money) assert m1.amount == 0 assert m1.currency is None assert str(m1) == "0.00" m2 = m1 + 1 assert isinstance(m2, Money) ...
11548633
import typing as ty from .oncall_default import F, OnCallDefault, T from .stack_context import StackContext class ContextualDefault(ty.Generic[T]): """A shortcut for implementing simple StackContexts that are used only for OnCallDefaults on a particular function. Though this _can_ be shared across funct...
11548664
def f(): try: a finally: return 42 # EXPECTED: [ ..., CODE_START("f"), LOAD_CONST(None), SETUP_FINALLY(Block(1)), ..., POP_BLOCK(0), BEGIN_FINALLY(0), POP_FINALLY(0), POP_TOP(0), LOAD_CONST(42), RETURN_VALUE(0), END_FINALLY(0), POP_TOP(0), ]
11548701
import json import os from copy import copy from datetime import datetime from pathlib import Path from time import time from typing import Union import lightgbm as lgb import numpy as np import pandas as pd from lightgbm import Dataset as lgbDataset from pytorch_widedeep.utils import LabelEncoder from sklearn.metrics...
11548748
import time import sys from collections import OrderedDict from metadata_parser.utils import time_memory_track """Step 03 (D): Function for Table To VCF""" @time_memory_track def fnc_table_to_vcf(infile, meta_header, outfile, samples, formats, infos, genotype_is): print("converting Table file to VCF") begin...
11548769
import lasagne import theano.tensor as T import numpy as np # The input must be flattened class SmthActLayer(lasagne.layers.Layer): def __init__(self, incoming, x_start, x_end, num_segs, W = lasagne.init.Normal(0.01), **kwargs): super(DotLayer, self).__init__(incoming, **kwargs); num_inputs = self....
11548802
class PairingPawns: def savedPawnCount(self, start): s = list(start) for i in xrange(len(start) - 1, 0, -1): s[i - 1] += s[i] / 2 return s[0]
11548803
from lenstronomy.PointSource.Types.unlensed import Unlensed import pytest import numpy.testing as npt class TestUnlensed(object): def setup(self): self.ps = Unlensed() self.kwargs = {'point_amp': [2, 1], 'ra_image': [0, 1], 'dec_image': [1, 0]} def test_image_position(self): x_img, ...
11548900
from typing import List, Optional, Tuple from spacy.language import Language from edsnlp.utils.deprecation import deprecated_factory from .accents import Accents DEFAULT_CONFIG = dict( accents=None, ) @deprecated_factory("accents", "eds.accents", default_config=DEFAULT_CONFIG) @Language.factory("eds.accents",...
11548910
from azureml.core.run import Run import argparse import time parser = argparse.ArgumentParser() parser.add_argument("--a", type=int, dest="a", help="The alpha parameter") parser.add_argument("--b", type=int, dest="b", help="The beta parameter") args = parser.parse_args() # Produce bad values if 'a' greater than 2 if ...
11548924
from pymc3.core import * from pymc3.step_methods.arraystep import ArrayStepShared from pymc3.theanof import make_shared_replacements from pymc3.distributions.transforms import logodds from ContinuousTimeMarkovModel.transforms import * from theano import function #import ContinuousTimeMarkovModel.cython.forwardX_cytho...
11548935
import base64 import json from collections.abc import Mapping import boto3 from logger import logger class Event(Mapping): def __init__(self, event): self.event = event def __getitem__(self, key): return self.event[key] def __iter__(self): return iter(self.event) def __len...
11548946
from django.contrib.messages import success from django.shortcuts import redirect, render from django.utils.translation import ugettext as _ from .forms import FileForm from .models import File def index(request): form = FileForm(request.POST or None, request.FILES or None) if form.is_valid(): form....
11548953
import os import cv2 import sys import time import socket os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import tensorflow as tf import scipy.misc as sm import numpy as np import scipy.io as sio from os import listdir, makedirs, system from argparse import ArgumentParser from utils import * from det_lstm import DET_LSTM d...
11548984
import json from datetime import date import scrapy from dateutil.rrule import DAILY, rrule from gazette.items import Gazette from gazette.spiders.base import BaseGazetteSpider class SigpubGazetteSpider(BaseGazetteSpider): """www.diariomunicipal.com.br (Sigpub) base spider Documents obtained by this kind o...
11549002
from file_system import manager from multiprocessing.connection import Listener, wait import threading import time def main(): fsm = manager.FileSystemManager() address = ('localhost', 7000) print('Listening:', address[0]) while True: with Listener(address, authkey=b's<PASSWORD>') as list...
11549090
from office365.runtime.client_runtime_context import ClientRuntimeContext class ExcelService(ClientRuntimeContext): def __init__(self, context): """ Excel Services REST API client https://docs.microsoft.com/en-us/sharepoint/dev/general-development/excel-services-rest-api """ ...
11549104
from leapp import reporting from leapp.exceptions import StopActorExecutionError from leapp.libraries.stdlib import api from leapp.models import StorageInfo # man 5 xfs REMOVED_XFS_OPTIONS = set([ # removed from kernel in 4.0 'nodelaylog', 'delaylog', 'ihashsize', 'irixsgid', 'osyncisdsync', ...
11549141
import functools import warnings import sklearn.metrics as skmetrics def _handle_cropped(y_p): """ A straightforward helper that simply averages multiple crops if they are present. Parameters ---------- y_p: np.ndarray The predicted values with shape batch x targets (x <optional crops>) ...
11549150
from __future__ import division, unicode_literals, absolute_import import numpy as np try: import lalsimulation as lalsim except Exception: pass class lal_wrapper(object): def __init__(self, approx, domain): self.approx = lalsim.__dict__[approx] self.domain = domain def __call__...
11549268
import diffrax import jax import jax.numpy as jnp import pytest from helpers import random_pytree, shaped_allclose, treedefs def test_fill_forward(): in_ = jnp.array([jnp.nan, 0.0, 1.0, jnp.nan, jnp.nan, 2.0, jnp.nan]) out_ = jnp.array([jnp.nan, 0.0, 1.0, 1.0, 1.0, 2.0, 2.0]) fill_in = diffrax.misc.fill_...
11549278
import os import numpy as np import argparse import cv2 as cv from time import time import keras.backend as K from utils.img_process import generate_train, get_region_mask from utils.vgg16_gray import VGG16Gray from utils.compare_patch import compare_patch def save_train_feat(photo_path, sketch_path, weight_path, fe...
11549290
import random import math import numpy as np import mxnet as mx from mxnet import gluon, nd from mxnet.gluon import nn import gluonnlp as nlp class DotProductAttention(nn.Block): def __init__(self, dropout, **kwargs): super().__init__(**kwargs) self.dropout = nn.Dropout(dropout) def forward(...
11549302
from django.contrib import admin from .models import Followers @admin.register(Followers) class FollowersAdmin(admin.ModelAdmin): """Друзья пользователя""" list_display = ("subscribed", "friends", "in_friends", "in_followers", "id") search_fields = ("subscribed",) list_editable = ("in_friends", "in_fo...
11549338
import base64 import graphene import os from gtmcore.files import FileOperations from gtmcore.logging import LMLogger from lmsrvcore.auth.user import get_logged_in_username from lmsrvcore.api.interfaces import GitRepository from lmsrvcore.api.connections import ListBasedConnection from lmsrvlabbook.api.objects.labbo...
11549363
from __future__ import absolute_import import csv import io import re from .base import HttpSite class CsvSite(HttpSite): _delim = None @property def dialect(self): if "pattern" not in self.conf: return "excel" class DelimDialect(csv.excel): delimiter = str(self...
11549377
from typing import Dict, List import torch from torch.distributions import Uniform from kornia.augmentation.random_generator.base import RandomGeneratorBase from kornia.augmentation.utils import _adapted_rsampling, _common_param_check, _joint_range_check, _range_bound class PlanckianJitterGenerator(RandomGeneratorB...
11549398
from __future__ import print_function # Copyright 2017 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 ap...
11549407
from typing import List, Mapping, Dict, Union, Iterable, Callable, Optional, Any from dataclasses import dataclass, replace, field from inspect import signature from .types import ElementArg, ElementFn, DispatchEvent, ReceiveEvent @dataclass class ElementCallbacks: click: Optional[Callable] = None hoverin: O...
11549412
import ast import os import sys import warnings import pandas as pd from pandas.api.types import CategoricalDtype if not sys.warnoptions: warnings.simplefilter("ignore") import json def load(filepath): # From https://github.com/mdeff/fma/blob/rc1/utils.py / MIT License filename = os.path.basename(filep...
11549417
import os import time from sources import STOP import settings class Commands: def __init__(self, stop, epsilon, discount, update_target_every, min_reward, save_checkpoint_every, seconds_per_episode, agent_show_preview, optimizer, car_npcs): self.stop = stop self.epsilon = epsilon self.di...
11549426
import cv2 import numpy as np import sys # argv is your commandline arguments, argv[0] is your program name, so skip it # for n in sys.argv[1:]: # print(n) #print out the filename we are currently processing # input = open(n, "r") # output = open(n + ".out", "w") # # do some processing # input.clos...
11549467
from __future__ import division from __future__ import print_function from glob import glob import os import numpy as np from numpy import testing as npt from deepcpg.data import hdf, CPG_NAN from deepcpg.data.fasta import read_chromo from deepcpg.data.dna import CHAR_TO_INT class TestMake(object): def setup_...
11549474
class GeometryObject(APIObject,IDisposable): """ The common base class for all geometric primitives. """ def Dispose(self): """ Dispose(self: APIObject,A_0: bool) """ pass def Equals(self,obj): """ Equals(self: GeometryObject,obj: object) -> bool Determines whether the specified System.Obj...
11549554
from django.contrib.auth import logout from rest_framework import status from rest_framework.response import Response from rest_framework.views import APIView class LogoutView(APIView): def post(self, request): if request.user.is_authenticated: logout(request) return Response(status=st...
11549562
from django.template import Library from django.utils.safestring import mark_safe import datetime ,time register = Library() @register.simple_tag def build_filter_ele(filter_column,admin_class): column_obj = admin_class.model._meta.get_field(filter_column) print("column obj:",column_obj) try: #fil...
11549578
from app import app from flask import Flask, request, render_template import sqlite3 from flask_login import login_required def get_data(rom, limit, offset, val_s, time_s): conn = sqlite3.connect('data/db/'+rom+'.sql') c = conn.cursor() if val_s and val_s is not None: print(val_s) sql = "SELECT rowid,* FRO...
11549588
import requests from requests import auth import urllib3 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) class HttpSession: def __init__(self, base_url, headers, api_key=None, allow_self_signed_cert=False): self._base_url = base_url self._headers = headers self._auth...
11549597
from flask import Flask from DatabaseConnection import firebasecontroller as firebase_controller from flask_ngrok import run_with_ngrok app = Flask(__name__) run_with_ngrok(app) # this is to create a webHook for the DialogueFlow @app.route("/", methods=['POST', 'GET']) def data(): Database = firebase_controller...
11549599
import regex from pynab import log from pynab.db import db_session, Release, Pre, Group, windowed_query import config GROUP_ALIASES = { # from: to 'alt.binaries.etc': 'alt.binaries.teevee', } GROUP_REQUEST_REGEXES = { 'alt.binaries.etc': '^(\d{4,8})$', 'alt.binaries.teevee': '^(\d{4,8}...
11549609
class Element: def __init__(self, attrs): self.attributes = attrs @property def dataset(self): def strip_data(key): return key.split("-")[1] _dataset = { strip_data(key): value for key, value in self.attributes.items() if key.startswi...
11549612
import logging from datetime import datetime from datetime import timedelta from typing import Optional from pytz import timezone from pytz import utc from yelp_beans.models import MeetingSpec from yelp_beans.models import User from yelp_beans.models import UserSubscriptionPreferences def get_specs_for_current_week_...
11549613
import torch from src.dataclass import Context from src.executable.train import train_model def main(ctx: Context, chrome_trace_path: str = "torch_trace", steps: int = 128): with torch.autograd.profiler.profile(use_cuda=True, use_cpu=False, use_kineto=True) as prof: train_model(ctx, steps) print(prof...
11549618
import unittest import array from iptest import IronPythonTestCase, is_cli, path_modifier, run_test class HashTest(IronPythonTestCase): def test_hash_before_eq(self): class HashBeforeEq: def __hash__(self): return 1 def __eq__(self, other): return se...
11549619
from django.test import TestCase from molo.core import utils from molo.core.tests.base import MoloTestCaseMixin from molo.core.models import SiteLanguageRelation, Languages, Main from molo.core.utils import generate_slug class TestUtils(TestCase, MoloTestCaseMixin): def test_get_locale_code(self): self.a...
11549659
import keras import src.vggbuilder as vggbuilder import src.resnetbuilder as resnetbuilder import src.histonetbuilder as histonetbuilder import src.xceptionbuilder as xceptionbuilder import src.mobilenetbuilder as mobilenetbuilder from keras.applications import InceptionV3 from keras.layers import Dropout, GlobalAvera...
11549675
from flask import Flask, redirect, render_template, request app = Flask(__name__) @app.route('/') def home(): # Redirect to the /play route return redirect('/play') @app.route('/play') def play(): # Return a Jinja2 HTML template return render_template('homepage.html') @app.route('/dashboard') def d...
11549702
import os.path import unittest import tests.base_test import tests.output_parser as output_parser import tests.test_config import tests.util class Alternative3SpliceSiteNovelBaseTest(tests.base_test.BaseTest): def setUp(self): super().setUp() self._test_base_dir = tests.test_config.TEST_BASE_DIR...
11549704
import pytest import time import asyncio import os BASE_DIR = os.path.dirname(__file__) NOTEBOOK_EXECUTION_TIME = 2 NUMBER_PREHEATED_KERNEL = 2 TIME_THRESHOLD = 1 @pytest.fixture def voila_config_file_paths_arg(): path = os.path.join(BASE_DIR, '..', 'configs', 'preheat') return '--VoilaTest.config_file_paths...
11549762
import sys import os import numpy as np import tensorflow as tf import csv import pickle import tarfile import zipfile as z import threading from scipy import ndimage from scipy.misc import imresize, imsave from six.moves.urllib.request import urlretrieve MB = 1024 ** 2 def download_hook_function(block, block_size...
11549771
import os from django.conf import settings from django.contrib.auth.models import AbstractUser from django.db import models from itsdangerous import URLSafeTimedSerializer, \ SignatureExpired, BadTimeSignature from uuslug import slugify from Content.common_tools import crop_img, delete_img # Create your models ...
11549823
from common import * from scitools.numpyutils import ravel, zeros, array, allclose, rank, \ meshgrid, newaxis from scitools.globaldata import DEBUG, VERBOSE from scitools.numpyutils import NumPy_dtype from scitools.misc import check_if_module_exists check_if_module_exists('vtk', msg='You need to install the VTK p...
11549875
import numpy as np dim = 1 p = 1.0 n_train = 256 n_eval = 128 n_test = 128 low = 0.5 high = 1.0 data_train = np.random.uniform(low=low, high=high, size=(n_train, dim, dim)) mask_train = np.random.binomial(n=1, p=p, size=(n_train, dim, dim)) data_train = np.reshape(data_train * mask_train, (n_train, dim * dim)) data_...
11549877
from arekit.common.data import const from arekit.common.data.row_ids.base import BaseIDProvider from arekit.common.data.storages.base import BaseRowsStorage class BaseSampleStorageView(object): """ Pandas-based input samples proovider """ def __init__(self, storage, row_ids_provider): assert(...
11549917
print("enter size of array") s = int(input()) i = 0 b = [] print("enter array elements") while i < s: b.append(int(input())) i = i+1 print(b) def getsecondhighest(b): hi = mid = low = 0 for i in range(len(b)): x = b[i] if x > hi: low = mid mid =...
11549968
import numpy as np import networkx as nx import cPickle as cp import random import ctypes import os import sys import time from tqdm import tqdm sys.path.append( '%s/tsp2d_lib' % os.path.dirname(os.path.realpath(__file__)) ) from tsp2d_lib import Tsp2dLib def find_model_file(opt): max_n = int(opt['max_n']) ...
11550040
from __future__ import annotations from librespot.core import ApResolver from librespot.metadata import AlbumId, ArtistId, EpisodeId, ShowId, TrackId from librespot.proto import Connect_pb2 as Connect, Metadata_pb2 as Metadata from librespot.structure import Closeable import logging import requests import typing if ty...
11550041
from collections import defaultdict n, m = map(int, input().split()) A = defaultdict(list) for i in range(1, n + 1): A[input()].append(i) for _ in range(m): key = input() if key in A: print(*A[key], sep=" ") else: print(-1)
11550050
from selenium import webdriver import os, re from bs4 import BeautifulSoup import time os.chdir("../") bili_dir = "python/bili_av_cid" def scrap(): os.makedirs(bili_dir, exist_ok=True) driver = webdriver.Chrome() # 打开 Chrome 浏览器 driver.get("http://space.bilibili.com/243821484/channel/detail?cid=2825...
11550062
from .agent import Agent from .agents import AC, DQN, PG, TQL, RandomAgent from .bandits import BanditExperiment, MultiArmedBandit, average_runs from .environment import Environment from .openai_gym import OpenAIGym
11550066
from typing import Dict, List from .extract_semantic import extract_method_statements_semantic from .create_extraction_opportunities import create_extraction_opportunities from ._syntactic_filter import syntactic_filter from ._semantic_filter import semantic_filter from ._common_types import Statement, StatementSemant...
11550096
import json import logging import sys import tempfile from unittest import mock import pytest import structlog from meltano.core.logging.output_logger import Out, OutputLogger from structlog.testing import LogCapture def assert_lines(output, *lines): for line in lines: assert line in output class TestO...
11550127
from __future__ import absolute_import from __future__ import division from __future__ import print_function from models.bert import modeling from models.bert import modeling_slice import tensorflow as tf from tensorflow import logging import sys slim = tf.contrib.slim def gather_indexes(sequence_tensor, positions):...
11550160
from pydip.map.predefined.vanilla_dip import generate_map, generate_supply_center_map def test_territory_adjacency_counts(): game_map = generate_map() expected_counts = { 'North Atlantic Ocean' : 5, 'Mid-Atlantic Ocean' : 10, 'Irish Sea' : 5, 'English Channel' : 8, 'Br...
11550210
import os import argparse import warnings warnings.simplefilter('ignore') from solver import Solver from data_loader import get_loader from torch.backends import cudnn def str2bool(v): return v.lower() in ('true') def main(config): # For fast training. cudnn.benchmark = True # Create directories if ...
11550238
from datetime import datetime, time, date from dateutil.rrule import weekday, rrule from django.db import models from django.db.models import Q from django.utils.functional import cached_property from django.utils.translation import ugettext_lazy as _ from ...constants import frequency, status from ...utils.slug_util...
11550258
import argparse import psutil import signal import subprocess import threading import time import uuid import tempfile import shutil import pytest import os from rebus.agent import Agent, AgentRegistry from rebus.bus import BusRegistry, DEFAULT_DOMAIN import rebus.agents import rebus.buses rebus.agents.import_all() r...
11550270
import torch from torch.autograd import Variable, Function class ShakeDrop(Function): @staticmethod def forward(ctx, x, alpha, beta, death_rate, is_train): gate = (torch.rand(1) > death_rate).numpy() ctx.gate = gate ctx.save_for_backward(x, alpha, beta) if is_train: ...
11550328
import os import os.path from skidl import * def convert_libs(from_dir, to_dir): lib_files = [l for l in os.listdir(from_dir) if l.endswith(lib_suffixes[KICAD])] for lib_file in lib_files: print(lib_file) basename = os.path.splitext(lib_file)[0] lib = SchLib(os.path.join(from_dir, lib...
11550336
import time from compas.datastructures import Mesh import compas_fab from compas_fab.backends import RosClient from compas_fab.robots import CollisionMesh from compas_fab.robots import PlanningScene with RosClient() as client: robot = client.load_robot() scene = PlanningScene(robot) assert robot.name == ...
11550368
from .dropout import BernoulliDropout, ConcreteDropout, GaussianDropout from .padding import ZeroPadding3DChannels __all__ = [ "BernoulliDropout", "ConcreteDropout", "GaussianDropout", "ZeroPadding3DChannels", ]
11550407
import tvm import tvm.relay as relay import tvm.relay.testing as testing from graphviz import Digraph # from ..workloads.onnx_workloads import get_network_from_onnx from workloads.torch_workloads import get_network_from_torch import argparse from tvm.relay.transform.utility.visualize import visualize_network if __na...
11550419
from machine import Pin, UART import time import sys class Serial: """ 使用ESP32的串口连接外部设备 """ def __init__(self, id=2, baudrate=2000000, rx_pin=14, tx_pin=12, timeout=2000, timeout_char=10): import select self.uart = UART(id, baudrate, rx=rx_pin, tx=tx_pin, timeout=...
11550441
import os from datetime import datetime from time import sleep from django.urls import reverse from factories import UserFactory from selenium.webdriver.common.keys import Keys from competitions.models import Competition from tasks.models import Task from ..utils import SeleniumTestCase class TestCompetitions(Sele...
11550447
import sys import gzip import itertools as it import numpy as np import scipy.stats as ss from matplotlib import pyplot as plt import seaborn as sns sns.set_style('whitegrid') fha = (gzip.open if sys.argv[1].endswith(".gz") else open)(sys.argv[1]) fhb = (gzip.open if sys.argv[2].endswith(".gz") else open)(sys.argv[2])...
11550464
import tensorflow as tf hparams = tf.contrib.training.HParams( num_mels=80, frame_length_ms=50, frame_shift_ms=12.5, hop_length=int(16000 * 0.0125), # samples. win_length=int(16000 * 0.05), # samples. max_db=100, ref_db=20, preemphasis=0.97, max_abs_value=4.0, symmetric_mel=Tr...
11550466
import framework from models.encoder_decoder import add_eos from typing import Tuple, Dict, Any, Optional, Callable, List import torch import torch.nn.functional as F class SequenceTestState: def __init__(self, batch_dim: int = 1): self.n_ok = 0 self.n_total = 0 self.batch_dim = batch_dim ...
11550472
with open("data/M_ff/train_his.csv") as f: line = f.readline().strip() headers = line.split(',') feat_info_fn = "data/M_ff/his_feat_infos.txt" from data_tool.feature import FeatureInfo feat_infos = {name:FeatureInfo() for name in headers} for k,v in feat_infos.items(): if k in ["pos_his","neg_his"]: ...
11550493
import json import os import unittest from shutil import rmtree import numpy as np import torch from metal.end_model import EndModel class LogWriterTest(unittest.TestCase): @classmethod def setUpClass(cls): # Set seed np.random.seed(1) n = 2000 X = np.random.random((n, 2)) ...
11550506
from typing import Any from hypothesis import assume, given from pfun import Unary, compose, identity from pfun.either import Either, Left, Right, either, filter_, for_each, gather from pfun.hypothesis_strategies import anything, eithers, unaries from tests.monad_test import MonadTest from .utils import recursion_li...
11550534
import os import requests class TelegramClient: chat_id = os.getenv('TELEGRAM_CHAT_ID') username = os.getenv('TELEGRAM_USERNAME') password = os.getenv('TELEGRAM_PASSWORD') url = f'https://api.telegram.org/{username}:{password}' def send_message(self, message): requests.post(self.url + f'...
11550537
from mmdet.utils import Registry DATASETS = Registry('dataset') PIPELINES = Registry('pipeline')
11550555
import maya.cmds as mc #testFile = '/home/prthlein/private/code/prmaya/test/scripts/test_prDeformPaint.ma' testFile = r'C:\Users\paz\Documents\git\prmaya\test\scripts\test_prDeformPaint.ma' mc.file(testFile, open=True, force=True) mc.file(rename=testFile.replace('.ma', 'TEMP.ma')) mc.file(renameToSave=True) import pr...
11550564
from datetime import datetime from pathlib import Path from scalpel import Configuration, datetime_decoder from scalpel.green import SeleniumSpider, SeleniumResponse, read_mp def parse(spider: SeleniumSpider, response: SeleniumResponse) -> None: for block in response.driver.find_elements_by_xpath('//div[@class="...
11550568
from django.http import HttpResponse from ninja import NinjaAPI api = NinjaAPI() @api.get("") def index(request): return HttpResponse(status=200) @api.get("user/{id}") async def get_user(request, id: str): return HttpResponse(id) @api.post("user") async def create_user(request): return HttpResponse(...
11550582
import pybullet as pb from . import body from . import link def get_contact_points(body_or_link_a, body_or_link_b=None): """ Returns the contact points computed during the most recent call to stepSimulation. """ client_id = body_or_link_a.client_id kwargs = {} kwargs.update(_compute_args(body...
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import unittest from simdna.simdnautil import fileProcessing as fp import simdna from simdna import synthetic as sn import numpy as np from simdna import random from collections import defaultdict class TestBasics(unittest.TestCase): def test_density_motif_embedding(self): random.seed(1234) np.ran...
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import numpy as np from ..util.backend_functions import backend as bd from .diffractive_element import DOE class BinaryFZP(DOE): def __init__(self, f, λ, radius = None, aberration = None): """ Creates a Phase Binary Fresnel Zone Plate with a focal length equal to f for a wavelength λ """ ...
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import pytest from moto.dynamodb2.models import Table @pytest.fixture def table(): return Table( "Forums", schema=[ {"KeyType": "HASH", "AttributeName": "forum_name"}, {"KeyType": "RANGE", "AttributeName": "subject"}, ], attr=[ {"AttributeType": ...
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from typing import Optional, Dict from math import floor from time import time from ..deviation import getTimer class Recorder(object): def __init__(self, interval: Optional[int] = 1, compensate: Optional[bool] = True, timestamp: Optional[float] = time(), **kwargs): assert (interval > ...
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import time, pytest, inspect import yaml from utils import * def test_brave_with_no_config_file(run_brave): run_brave() check_brave_is_running() def test_brave_with_missing_config_file(run_brave): run_brave('not-a-real-config-file') check_return_value(1) def test_brave_with_invalid_input_type(run_...
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import numpy as np from sklearn.metrics import roc_curve, accuracy_score class AverageMeter(object): """Computes and stores the average and current value""" def __init__(self): self.reset() def reset(self): self.val = 0 self.avg = 0 self.sum = 0 self.count = 0 ...
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import datetime import logging import random import sys import time class WaitForConditionUtil(object): @staticmethod def _sleep_seconds_generator(polling_interval_seconds): """ Function yields seconds in range [polling_interval_seconds / 2, polling_interval_seconds] and the very firs...
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import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from torch.distributions import MultivariateNormal as MVN class ReweightL2(_Loss): def __init__(self, train_dist, reweight='inverse'): super(ReweightL2, self).__init__() self.reweight = reweight self.train...
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from astropy.wcs.utils import wcs_to_celestial_frame from astropy.coordinates import (ICRS, FK5, FK4, Galactic, HeliocentricTrueEcliptic, BarycentricTrueEcliptic) from .decorators import auto_refresh, fixdocstring __all__ = ['AxisLabels'] class AxisL...
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from django.contrib import messages from django.db import DataError from dfirtrack_main.importer.file.csv_attributes_check import check_and_create_ip from dfirtrack_main.logger.default_logger import warning_logger from dfirtrack_main.models import ( Case, Company, Dnsname, Domain, Location, Os,...
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import numbers import re import time from datetime import datetime from typing import Dict, List, Union _unit_in_ms_without_week = {"s": 1000, "m": 60000, "h": 3600000, "d": 86400000} _unit_in_ms = {**_unit_in_ms_without_week, "w": 604800000} def datetime_to_ms(dt): epoch = datetime.utcfromtimestamp(0) retur...