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from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) with open(path.join(here, 'README.rst'), encoding='utf-8') as f: long_description = f.read() setup( name='muniverse', version='0.1.1', description='An API for controllin...
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import typing as tp from satella.coding.structures import Proxy from satella.coding.typing import V, T __all__ = ['call_if_nnone', 'iterate_if_nnone', 'Optional', 'extract_optional'] def iterate_if_nnone(iterable: tp.Optional[tp.Iterable]) -> tp.Iterable: """ Return a generator iterating over every element ...
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from pyderman.util import downloader import re import json def get_url(version='latest', _os=None, _os_bit=None): beta = True pattern = version bit = '' if not version or version == 'latest': beta = False pattern = '' if _os == 'linux': bit = '64' if _os_bit == '64' else 'i686' for release in _releases():...
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import logging from datetime import date from functools import cached_property from typing import Any from typing import Dict from typing import Iterator from typing import Optional from typing import Sequence from django.db import transaction from certificates.models import Certificate from certificates.models impor...
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import datetime import unittest from ..iterators import DateIterator class DateIteratorTestCase(unittest.TestCase): def test_iterator(self): iterator = DateIterator( datetime.date(2015, 2, 25), datetime.date(2015, 3, 2), ) iter(iterator) self.assertEqual...
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import numpy as np import os import gzip def bin_data(x, mini, maxi, n_bins): """ Bin data from continuous representation. :param x: real valued data in shape (time-points, batch) :param mini: minimum bin position :param maxi: maximum bin position :param n_bins: number of bins :...
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import torch.nn as nn import torch from functools import reduce from operator import mul import torch.nn.functional as F """Implements the EmbeddingMul class Author: <NAME> Date: Fall 2018 Unit test: embedding_mul_test.py Modified: <NAME>; Date: Fall 2019 """ class EmbeddingMul(nn.Module): """This class implem...
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import commands import unittest from unittest import mock from click.testing import CliRunner class TestIgnoreCommand(unittest.TestCase): @mock.patch("commands.os") def test_repo_without_gitignore(self, os_mock): os_mock.path.exists.return_value = False gitignore_files = commands.get_gitignore...
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from django.db import models class Attachment(models.Model): """ An attachment to a Slack message. """ message = models.ForeignKey( 'Message', related_name='attachments', on_delete=models.CASCADE) title = models.CharField(max_length=300, blank=True, null=True) title_link = models.URLF...
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import pytest import os import sys from crestic import config_files @pytest.fixture def no_appdirs(monkeypatch): monkeypatch.setitem(sys.modules, "appdirs", None) def test_xdg_configfiles(): paths = config_files() assert paths == [ os.path.expanduser('~/.config/crestic/crestic.cfg'), '/...
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import os import subprocess import sys from tempfile import NamedTemporaryFile, TemporaryDirectory from pydantic import BaseModel, Field from opyrator.components.types import FileContent class AudioSeparationInput(BaseModel): audio_file: FileContent = Field(..., mime_type="audio/mpeg") class AudioSeparationOu...
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import torch import torch.nn as nn def iou(a, b): area_a = torch.unsqueeze((a[:, 2] - a[:, 0]) * (a[:, 3] - a[:, 1]), dim=1) area_b = (b[:, 2] - b[:, 0]) * (b[:, 3] - b[:, 1]) iw = torch.min(torch.unsqueeze(a[:, 2], dim=1), b[:, 2]) - torch.max(torch.unsqueeze(a[:, 0], dim=1), b[:, 0]) ih = torch.m...
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from typing import Tuple, List import tensorflow as tf from tensorflow.keras import Model, activations, regularizers, initializers, constraints from tensorflow.keras.layers import RNN, Embedding, Dense, Dropout from rinokeras.layers import WeightNormDense import numpy as np from sacred import Ingredient from tape.da...
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import copy from oictest import NotSupported from rrtest.check import ERROR from rrtest.check import WARNING __author__ = 'roland' def add_test_result(conv, status, message, tid="-"): conv.test_output.append({"id": str(tid), "status": status, "message": me...
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import torch import numpy as np import torch.nn as nn import torch.nn.functional as F class YOLONetV1(nn.Module): def __init__(self, channel=3, height=448, width=448): super(YOLONetV1, self).__init__() self.conv1 = nn.Conv2d(channel, 64, 7, stride=2, padding=3) self.pool1 = nn.AvgPool2d(2...
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import usb4vc_shared import os import sys import time os.system("rm -rfv ./rpi_app") os.system("sleep 0.1") os.system("rm -fv ./*.zip") os.system("sleep 0.1") os.system("mkdir rpi_app") os.system("sleep 0.1") os.system("cp -v ./*.py rpi_app/") os.system("cp -v ./*.ttf rpi_app/") filename = f'usb4vc_src_{usb4vc_shared...
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import os def test_save_configuration(connect_to_slave, read_config, pytestconfig): servo, net = connect_to_slave assert servo is not None and net is not None protocol = pytestconfig.getoption("--protocol") filename = read_config[protocol]['save_config_file'] servo.save_configuration(filename) ...
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from django.conf.urls import url from .views import IndexView, MySearchView # from apps.comment.views import MessageView app_name = 'index' urlpatterns = [ # 首页,自然排序 url(r'^$', IndexView.as_view(template_name='index.html'), name='index'), # # 主页,按照编写排序 # url(r'^u/$', IndexView.as_view(), {'sort': 'updat...
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def extractDsrealmCom(item): ''' Parser for 'dsrealm.com' ''' vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title']) if not (chp or vol) or "preview" in item['title'].lower(): return None tagmap = [ ('Reincarnated As A Dragons Egg', 'Reincarnated As A Dragons Egg', ...
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from overrides import overrides from allennlp.common.util import JsonDict from allennlp.data import Instance from allennlp.predictors.predictor import Predictor @Predictor.register('mrqa_predictor') class MRQAPredictor(Predictor): def predict_json(self, json_dict: JsonDict) -> JsonDict: if 'header' in jso...
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class CommonProperty(object): """A more flexible version of property() Saves the name of the managed attribute and uses the saved name in calls to the getter, setter, or destructor. This allows the same function to be used for more than one managed variable. As a convenience, the default function...
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import falcon_kit.mains.gen_gfa_v2 as mod import helpers import pytest import os def test_help(): try: mod.main(['prog', '--help']) except SystemExit: pass def test_main_1(tmpdir, capsys): # test_dir = os.path.join(helpers.get_test_data_dir(), 'gfa-1') gfa_graph = mod.GFAGraph() g...
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import json from mock import MagicMock from tests.endpoints import AbstractEndpointTest import vegadns.api.endpoints.apikeys from vegadns.api import app class TestApiKeys(AbstractEndpointTest): def test_get_success(self): k1 = '<KEY>' s1 = '<KEY>' mock_apikey_one = { 'apikey...
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import gym from gym.envs.registration import register def register_env(env_name): '''Register additional environments for OpenAI gym.''' if env_name not in gym.envs.registry.env_specs: if env_name == 'AntTruncatedObs-v2': register(id='AntTruncatedObs-v2', entry_point='...
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import json import os import re import subprocess import time from typing import Optional, List from platypush.backend import Backend from platypush.message.event.joystick import JoystickConnectedEvent, JoystickDisconnectedEvent, JoystickStateEvent, \ JoystickButtonPressedEvent, JoystickButtonReleasedEvent, Joysti...
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import FWCore.ParameterSet.Config as cms # #Set pixel digitization default in CMSSW_2_1_X # # # (do not forget to include any mixing like: # include "SimGeneral/MixingModule/data/mixNoPU.cfi" # # Pixel's digitization # from SimRomanPot.SimFP420.FP420Digi_cfi import *
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from models import Event def get_events_for_user(user, from_date=None, to_date=None): """Return events for user from_date to to_date. """ query = Event.objects.filter(attendees=user) if from_date: query = query.filter(start__gte=from_date) if to_date: query = query.filter(start__lt=to...
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import torch from torch import nn class NonLocalAttention(nn.Module): """ Attention from all positions in object B to all positions in object A """ def __init__(self, in_channels=256, inter_channels=None, bn_layer=True): super(NonLocalAttention, self).__init__() self.in_channels =...
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from typing import List, Optional, Tuple from PyQt5.QtCore import pyqtSignal, QObject from PyQt5.QtWidgets import (QGraphicsObject, QGraphicsItem, QAction) from cadnano.cntypes import ( WindowT ) class AbstractTool(QGraphicsObject): """ For use in place of None checks in the code reduces boilerplate """ ...
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import numpy as np import inspect def start_indices(maximum: int, n: int): ''' e[0] is the starting coordinate e[1] is the ending coordinate Args: maximum: max integer to draw a number from n: how many numbers to draw Returns: starting index of the events to be inserted ''...
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import numpy as np import pandas as pd import streamlit as st import plotly.express as px import plotly.graph_objects as go from plotly.subplots import make_subplots from core import ( convert_yearly_to_monthly_interest, calculate_mortgage_over_time, apply_interest_scalar, apply_interest_series, ap...
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def test_setup_failure(testdir): testdir.makepyfile( """ import pytest import pytest_check as check @pytest.fixture() def a_fixture(): check.equal(1, 2) def test_1(a_fixture): pass """ ) result = testdir.runpytest() result...
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import torch as tc import torch.nn as nn import torch.nn.functional as F from transformers import BertModel , BertTokenizer import pdb import math from .graph_encoder import Encoder from .matrix_transformer import Encoder as MatTransformer class Model(nn.Module): def __init__(self , bert_type = "bert-base-uncased...
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import numpy as np from itertools import chain def getSingleSelection(): # Open a file dialog and get the path return None def getObjectByName(name): # Does nothing return None def getObjectName(thing): # Gets the basename from a path return None def getFaces(thing): # loads the .obj or .abc ...
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from dataset_utils import int64_feature, float_feature, bytes_feature import decorations import math import os import xml.etree.ElementTree as ElementTree import shutil import tensorflow as tf tf.app.flags.DEFINE_string( 'path_to_decorations', '/home/paul/Data/decorations', 'path to decorations dataset') tf.app.fl...
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from build.management.commands.export_constructs import Command as ExportConstructs class Command(ExportConstructs): pass
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class HowLongToBeatEntry: """ A simple class to collect all game data that are being read from the HTML code The first value of each section contain the actual time (or -1/0 if not available) The second value of each section contain the unit of the time (Minutes/Hours, or None if not available) The ...
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import os import argparse import torch import numpy as np from datetime import datetime from cail.env import make_env from cail.buffer import SerializedBuffer from cail.algo.algo import ALGOS from cail.trainer import Trainer def run(args): """Train Imitation Learning algorithms""" env = make_en...
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from django.urls import path, include from app import views from django.conf import settings from django.conf.urls.static import static from django.views.generic import TemplateView from django.contrib.auth import views as auth_views from .forms import LoginForm # from djago.allauth.account.views import LoginView urlp...
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from django.urls import re_path from authlib.admin_oauth.views import admin_oauth urlpatterns = [re_path(r"^admin/__oauth__/$", admin_oauth, name="admin_oauth")]
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from numpy.ma import logical_and, logical_or from pandas import DataFrame, Series from weaverbird.pipeline.conditions import ( ComparisonCondition, Condition, ConditionComboAnd, ConditionComboOr, InclusionCondition, MatchCondition, NullCondition, ) def apply_condition(condition: Condition...
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from ctypes import addressof import os import fire import pefile import sys import numpy as np import pickle import json from unicorn import * from unicorn.x86_const import * from capstone import * from capstone.x86_const import * BASE = 0x140000000 EMU_START = 0x1461743F0 EMU_END = EMU_START + 0x10000 REGISTER_MEM...
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class Simple: def hello(self): return 'Hello' def world(self): return 'world!' def hello_world(self): return '%s %s' % (self.hello(), self.world())
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from pyradioconfig.parts.ocelot.calculators.calc_fec import CALC_FEC_Ocelot class Calc_FEC_Bobcat(CALC_FEC_Ocelot): pass
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import numpy as np import pyspawn pyspawn.import_methods.into_simulation(pyspawn.qm_integrator.rk2) pyspawn.import_methods.into_simulation(pyspawn.qm_hamiltonian.adiabatic) pyspawn.import_methods.into_traj(pyspawn.potential.terachem_cas) pyspawn.import_methods.into_traj(pyspawn.classical_integrator.vv) ...
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import numpy as np from sklearn.cluster import AgglomerativeClustering from sklearn.metrics import silhouette_score class OptimizedAgglomerativeClustering: def __init__(self, max_cluster=10): self.kmax = max_cluster def fit_predict(self, X): best_k = self._find_best_k(X) ...
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import sys sys.path.append("../../") from appJar import gui def test(): print("test") with gui() as app: app.label('hello world') app.addToolbar(['help', 'save', 'open'], test, True) app.button('PRESS', test, icon='help')
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import math import tensorflow as tf import numpy as np import utils def get_distance(point1, point2): x1 = point1[0] x2 = point2[0] y1 = point1[1] y2 = point2[1] dist = math.sqrt(math.pow((x2 - x1), 2) + math.pow((y2 - y1), 2)) return dist def get_distance_between_frames(frames, target_labels_all, last_f...
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import json from office365.sharepoint.client_context import ClientContext from tests import test_team_site_url, test_client_credentials ctx = ClientContext(test_team_site_url).with_credentials(test_client_credentials) file_url = '/sites/team/Shared Documents/big_buck_bunny.mp4' file = ctx.web.get_file_by_server_relat...
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import os.path from django.core.files.storage import FileSystemStorage, Storage from storages.backends.s3boto3 import S3Boto3Storage from django.conf import settings class S3OverlayStorage(Storage): """Delegate paths starting with S3 magic to S3 storage Delegate other paths to local storage No extra field...
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import unittest from mltrace import Test, Component, set_db_uri class TestTest(unittest.TestCase): def setUp(self): set_db_uri("test") def testRunsAllTestFunc(self): class DummyTest(Test): def __init__(self): super().__init__("Dummy") def testCorrect(s...
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import console import editor import keyword import os import string import sys ALLOWED_CHARS = set(string.ascii_letters + string.digits + string.whitespace + "_.") DOCS = os.path.expanduser("~/Documents") def preformat(name): name = str(name).strip() if name.startswith("from "): name = name[len("from ...
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import os.path as osp import pytest from mmgen.datasets import GrowScaleImgDataset class TestGrowScaleImgDataset: @classmethod def setup_class(cls): cls.imgs_root = osp.join(osp.dirname(__file__), '..', 'data/image') cls.imgs_roots = { '4': cls.imgs_root, '8': osp.jo...
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from galaxy_test.base.populators import ( DatasetPopulator ) from galaxy_test.driver import integration_util class DefaultPermissionsIntegrationTestCase(integration_util.IntegrationTestCase): expected_access_status_code = 200 def setUp(self): super().setUp() self.dataset_populator = Datas...
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from library.telegram.base import RequestContext from nexus.bot.configs import config from nexus.translations import t from telethon import events from .base import BaseHandler class DonateHandler(BaseHandler): filter = events.NewMessage(incoming=True, pattern='^/donate(@[A-Za-z0-9_]+)?$') is_group_handler =...
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import tensorflow as tf import numpy as np from matplotlib import pyplot as plt import random import time import scipy import pandas as pd import tflearn import copy import os import sys currentpath = os.path.dirname(os.path.realpath(__file__)) project_basedir = os.path.join(currentpath,'..') sys.path.append(project_b...
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from moto.core.exceptions import RESTError class InvalidParameterValueError(RESTError): def __init__(self, message): super().__init__("InvalidParameterValue", message) class ResourceNotFoundException(RESTError): def __init__(self, message): super().__init__("ResourceNotFoundException", messa...
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from dataset.rand_augment import rand_augment_transform from PIL import ImageFilter from dataset import auto_augment import random from PIL import Image import numpy as np import torchvision.transforms as transforms import torch.nn as nn import torch mean_cifar = [0.5071, 0.4867, 0.4408] std_cifar = [0.2675, 0.2565, ...
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from app import db import datetime class SessionModel(db.Model): __tablename__ = 'sessions' id = db.Column(db.Integer, primary_key=True) user_id = db.Column(db.Integer, default=0, index=True, nullable=True) name = db.Column(db.String, default='', index=True, nullable=True) description = db.Column(...
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import torch import os import io def save_load_name(args, name=''): if args.aligned: name = name if len(name) > 0 else 'aligned_model' elif not args.aligned: name = name if len(name) > 0 else 'nonaligned_model' return name + '_' + args.model def save_model(args, model, name=''): # n...
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import os from unittest import TestCase import pandas as pd from nlp import load_dataset from acl.trainer_utils import get_label_classes_from_nlp_dataset from datasets.acl_docrel.acl_docrel import get_train_split, get_test_split from experiments.environment import get_env class TrainerTest(TestCase): def __init...
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import sys import logging from os import devnull from math import ceil from psutil import cpu_count, virtual_memory from contextlib import contextmanager, redirect_stderr, redirect_stdout ERRORS_TO_HANDLE = [AttributeError, ValueError, TypeError, KeyError] try: from numba.core.errors import TypingError ERRORS...
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import math from abc import abstractmethod import torch import torch.nn as nn import torch.nn.init as init import torch.nn.functional as F import torch.nn.utils.spectral_norm as SpectralNorm from math import sqrt def kaiming_init(module, a=0, mode='fan_out', nonlinea...
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from django import template register = template.Library() @register.filter def meta_attr(obj, key): """Returns an attribute of an objects _meta class""" return getattr(obj._meta, key, "")
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import sys import re sys.path.append('/usr/share/syndicate_md') from SMDS.user import * from SMDS.mdserver import * from SMDS.mdapi import MDAPI class IS_SMDS_USER: """ Validator for username fields--make sure that the user is a valid SMDS user. """ def __init__(self, error_message='Invalid User'): ...
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import numpy as np import scipy.sparse as ssp import random """All functions in this file are from dgl.contrib.data.knowledge_graph""" def _bfs_relational(adj, roots, max_nodes_per_hop=None): """ BFS for graphs. Modified from dgl.contrib.data.knowledge_graph to accomodate node sampling """ visit...
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import socket import threading import logging import re from status import Status from streaming import TCPStreamingClient from broadcaster import Broadcaster class HTTPRequestHandler: """Handles the initial connection with HTTP clients""" def __init__(self, port): #response we'll send to the client, ...
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from pathlib import Path from PyQt5.QtCore import QSettings from inselect.lib.utils import debug_print class RecentDocuments(object): KEY = 'recent_documents' MAX_RECENT_DOCS = 5 def read_paths(self): """Returns a list of up to MAX_RECENT_DOCS Paths. The most recently opened path is th...
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from awsflow.templates.step import config_step_task def CONFIG_STEP_SLACK(params=[]): return config_step_task(name='slack-message', task_name='awsflow.slack', task_params=params)
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from ..utils import TranspileTestCase class ComparisonTests(TranspileTestCase): def test_is(self): self.assertCodeExecution(""" x = 1 if x is 1: print('Correct') else: print('Incorrect') print('Done.') """) ...
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from .version import __version__ # noqa from .buildsimhub import BuildSimHubAPIClient import BuildSimHubAPI.htmlParser import BuildSimHubAPI.helpers import BuildSimHubAPI.measures # import BuildSimHubAPI.postprocess
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import math def mod(x, y): return x - y * math.trunc(x / y) a = 1 b = 2 sum = 0 while a < 4000000: if mod(a, 2) == 0: sum += a c = a a = b b += c print("%d\n" % sum, end='')
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from PIL import Image from yuv_reader import YUVReader from reprojection import Reprojection from optparse import OptionParser from six.moves import cPickle import matplotlib.pyplot as plt import numpy as np import os from dataset_preparation.ballet_camera import BalletCamera def main(): parser = OptionParser() ...
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from setuptools import setup desc = ('%s\n\n%s' % (open('README.rst').read(), open('CHANGES.txt').read())) setup( name='roman', version='3.4.dev0', author="<NAME>", author_email="<EMAIL>", description="Integer to Roman numerals converter", long_description=desc, long_description_content_t...
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import argparse import glob import logging import logging.config from os.path import dirname, join from qac.evaluation import evaluation from qac.experiments import preprocessing logger = logging.getLogger(__name__) # pylint: disable=locally-disabled, invalid-name def _filter_files(files): return [file for fil...
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import numpy as np from lib import common import matplotlib as mpl mpl.use("Agg") import matplotlib.pyplot as plt Vmax = 10 Vmin = -10 N_ATOMS = 51 DELTA_Z = (Vmax - Vmin) / (N_ATOMS - 1) def save_distr(vec, name): plt.cla() p = np.arange(Vmin, Vmax+DELTA_Z, DELTA_Z) plt.bar(p, vec, width=0.5) plt...
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from typing import NamedTuple, Union class ToyType(NamedTuple): display_name: str prefix: Union[str, None] filter_prefix: str cmd_safe_interval: float class Color(NamedTuple): r: int = None g: int = None b: int = None
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import scipy.io as sio import numpy as np import os def sensing_method(method_name,specifics): # a function which returns a sensing method with given parameters. a sensing method is a subclass of nn.Module return 1 def computInitMx(Training_labels, specifics): if(specifics['use_universal_matrix'] == True)...
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class Solution(object): # def isPowerOfThree(self, n): # """ # :type n: int # :rtype: bool # """ # import math # if n <= 0: # return False # # use round to check # log_res = round(math.log(n, 3), 10) # if log_res - int(log_res) > 0:...
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import string class Solution(object): def myAtoi(self, str): """ :type str: str :rtype: int """ str = str.strip() if not str: return 0 start = 0 negative = False if str[0] == "-": start = 1 negative = True ...
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import io from pcapng.blocks import InterfaceDescription, SectionHeader from pcapng.scanner import FileScanner def test_read_block_interface_bigendian(): scanner = FileScanner( io.BytesIO( # ---------- Section header b"\x0a\x0d\x0d\x0a" # Magic number b"\x00\x00\x00\x...
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import unittest import numpy as np class Tests(unittest.TestCase): def test_random(self): self.assertEqual(np.random.rand(), 0.417022004702574)
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class Solution: def solve(self, board: List[List[str]]) -> None: """ Do not return anything, modify board in-place instead. """ if not board: return row, col = len(board), len(board[0]) q = collections.deque() for r in range(row): for c in range(c...
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from api.can_api_v2_definition import AggregateRegionSummaryWithTimeseries from libs import dataset_deployer def test_remove_root(): value = AggregateRegionSummaryWithTimeseries(__root__=[]).dict() assert value == {"__root__": []} result = dataset_deployer.remove_root_wrapper(value) assert result == ...
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from __future__ import division from __future__ import print_function import glob import os import subprocess import sys from hashlib import sha256 import pydot_ng as pydot PY3 = not sys.version_info < (3, 0, 0) if PY3: NULL_SEP = b"" xrange = range else: NULL_SEP = "" bytes = str DOT_BINARY_PATH =...
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from .. utils import TranspileTestCase, BuiltinFunctionTestCase class ComplexTests(TranspileTestCase): pass class BuiltinComplexFunctionTests(BuiltinFunctionTestCase, TranspileTestCase): function = "complex"
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import hid zone_dict = { "IO_LED" : (0x20,0x01), "LED_CPU" : (0x21,0x02), "LED_SID" : (0x23,0x08), "LED_CX" : (0x24,0x10), "D_LED1" : (0x25,0x20), "D_LED2" : (0x26,0x40) } class AorusRGBController: def __init__(self, vid=0x048d, pid=0x8297): assert isinstance(vid, int), "Vendor...
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import copy import ast class ReadableFields: """ This class is responsible for getting all fields from the constructors of the classes that inherity from it """ def __init__(self): """ This constructor makes impossible to create a class without a __init__ mehtod. """ ...
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import pytest from pytest import approx import unblob._py as python_binding try: import unblob._rust as rust_binding except ModuleNotFoundError: rust_binding = None @pytest.fixture( params=[ pytest.param(python_binding, id="Python"), pytest.param( rust_binding, id...
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from util.arg_parser import ArgParser from motionAE.src.motionGANTrainer import motionGANTrainer from motionAE.src.motionCVAE2Trainer import motionCVAE2Trainer from motionAE.src.motionCVAETrainer import motionCVAETrainer from motionAE.src.motionVAEAdvInitFeedTrainer import motionVAEAdvInitFeedTrainer from motionAE.src...
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import discord import logging import time from discord.ext import commands from datetime import datetime log = logging.getLogger('daijobuudes.events') start_timestamp = time.time() start_time = datetime.fromtimestamp(start_timestamp) counter = 0 totalarg = 0 errarg = 0 totalcmd = 0 class Events(commands.Cog): ...
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import collections import datetime import decimal import json import time import unittest import uuid from unittest import TestCase from unittest.util import safe_repr import dateutil.parser import django.test import django.urls import django.utils.timezone import mock import rest_framework.test # noinspection PyUnres...
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from datetime import timedelta import datetime import pandas as pd import numpy as np def smooth_with_rolling_average( series: pd.Series, window: int = 7, include_trailing_zeros: bool = True, exclude_negatives: bool = True, ): """Smoothes series with a min period of 1. Series must have a date...
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import serial, time port = serial.Serial('/dev/ttyACM0', baudrate=57600, timeout=2) data = '01234567890123456789012345678901234567890123456789' #data = 'hellohello' outLine = 'echo %s\n' % data port.write('\n\n\n') port.write('free\n') line = port.readline(80) while line != '': print(line) line = port.readl...
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import os import sys sys.path.append(os.path.join(os.path.dirname(__file__), '..')) import mod1 from dir_for_mod import mod2 mod1.func() mod2.func()
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import bcrypt def generate_password_hash(password): """Method to centralize the hashing of passwords """ password = password.encode('<PASSWORD>') return bcrypt.hashpw(password, bcrypt.gensalt(12)) def verify_password_hash(password, password_hash): """Method to centralize the verification of pass...
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import numpy as np import os import random import cv2 import operator import json import time from utils.tools import normalization, augment_bbox # Change this path to the users own dataset path desktop_path = os.path.expanduser("~\Desktop") seq_path = os.path.join(desktop_path, "dataset", 'MOT') class data(): d...
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import unittest from medcat.cat import CAT from medcat.config import Config from medcat.utils.model_creator import create_models from pathlib import Path class EntityLinkingTest(unittest.TestCase): """Test entity linking after creating MedCAT CDB and Vocab models. During class setup, MedCAT CDB and Vocabular...
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from app.helpers.render import render_template, render_json from app.models.Language import Language from app.server import server from app.controllers import codepage as codepage_controller from misc import path_for_icon, default_svg from jinja2.exceptions import TemplateNotFound from flask import request, abort, redi...
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import os import sys import uuid from os.path import exists from os.path import join from os.path import dirname from os.path import splitext def get_file_list_recursively(top_directory, allowed_extensions=[]): """ Get list of full paths of all files found under root directory "top_directory". If a list o...