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r""" expressions.py Defines classes to parse and evaluate mathematical expressions. Implements similar functionality and API as edX's calc.py, but re-written with enhancements and to better separate parsing and evaluation. To evaluate a mathematical expression like '2^a + [x, 2]*[y, 4]', we proceed in two steps: ...
3237195
import sys import os import subprocess import json from scipy import stats from argparse import ArgumentParser parser = ArgumentParser(description="Get Ideogram.js annotations for an SRR") parser.add_argument("--acc", required=True, help="SRR accession") args = parser.parse_args() acc = args.acc out = acc + "_counts"...
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import numpy as np from nilabels.tools.aux_methods.utils_nib import set_new_data def get_rgb_image_from_segmentation_and_label_descriptor(im_segm, ldm, invert_black_white=False, dtype_output=np.int32): """ From the labels descriptor and a nibabel segmentation image. :param im_segm: nibabel segmentation w...
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import pytest from apps.contributors.models import Contributor from utils.auth import get_instance from utils.merge_model_objects import merge_instances @pytest.fixture def jimmy(request): return Contributor.objects.create( display_name='<NAME>', email='<EMAIL>' ) @pytest.fixture def jimmy_twin(req...
3237245
from __future__ import print_function from __future__ import absolute_import from __future__ import division from future import standard_library standard_library.install_aliases() from builtins import str from past.utils import old_div from builtins import object try: from . import mesh except: import mesh fr...
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import os import xml.dom.minidom import StringIO RDF_NS = "http://www.w3.org/1999/02/22-rdf-syntax-ns#" EM_NS = "http://www.mozilla.org/2004/em-rdf#" class RDF(object): def __str__(self): # real files have an .encoding attribute and use it when you # write() unicode into them: they read()/write() ...
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from pyftdi.spi import SpiController import time from commands import * RILEYLINK_XTAL_FREQUENCY = 24000000 class SPITimeout(Exception): pass class SPILink: BIT_REV = [int('{:08b}'.format(n)[::-1], 2) for n in range(0,256)] def __init__(self, device='ftdi://ftdi:232h/1', debug=False): self.devic...
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import unittest def test_function(): pass class TestClass: def test_class(self): pass class TestCase(unittest.TestCase): def test(self): pass
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from typing import List import numpy as np from sklearn.utils.multiclass import type_of_target from tensorflow.keras.backend import floatx as tf_floatx from scikeras.utils.transformers import ClassifierLabelEncoder from scikeras.wrappers import KerasClassifier class MultiLabelTransformer(ClassifierLabelEncoder): ...
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class Solution(object): def canPermutePalindrome(self, s): """ :type s: str :rtype: bool """ dic = {} for c in s: dic[c] = dic.get(c, 0) + 1 odd, even = 0, 0 for c in dic: if dic[c] % 2 == 0: even += 1 ...
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import logging import time import itertools from bbb_pru_adc.capture import capture if __name__ == '__main__': logging.basicConfig(level=logging.INFO) data = [] bad = 0 good = 0 count = 0 with capture([0, 1, 2, 3, 4, 5, 6, 7], auto_install=True, step_avg=4) as cap: start = time.time(...
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from __future__ import annotations import asyncio from typing import Any import attr __all__ = ("Ratelimiter",) @attr.s(slots=True) class Ratelimiter: rate: int = attr.field() per: int = attr.field() semaphore: asyncio.Semaphore = attr.field(init=False) def __attrs_post_init__(self) -> None: ...
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def intersecting_lines(p, q): intersections = 0 for i in range(len(p)): for j in range(len(p) - i - 1): if (q[j + 1] < q[i]): intersections = intersections + 1 return intersections print(intersecting_lines([1, 2, 3], [1, 2, 3]))
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import copy import datetime import decimal import json import uuid import pytest from boto3.dynamodb.types import TypeSerializer from botocore import stub from fixtures import context, lambda_module # pylint: disable=import-error from helpers import compare_dict # pylint: disable=import-error,no-name-in-module lambda...
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from delphifmx import * from TipMain import Main_Window def main(): Application.Initialize() Application.Title = 'Tip Calculator' Application.MainForm = Main_Window(Application) Application.MainForm.Show() Application.Run() Application.MainForm.Destroy() if __name__ == '__main__': main()
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import time # noinspection PyUnresolvedReferences import cv2 from CONSTANTS import IS_RASPBERRY_PI, CAMERA_PORT, RESOLUTION_H, RESOLUTION_W from camera.camera_utils import preview_image class Camera: def __init__(self, height=RESOLUTION_H, width=RESOLUTION_W): self.current_frame = None self.hei...
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import numpy as np import pandas as pd import plotly.express as px import pycountry from plotly.offline import plot metric = 'Recovery Rate' multiplier = 1 # Use this to manually lower the color scale (e.g. for Death Rate) # Load CSVs covid_df = pd.read_csv('https://raw.githubusercontent.com/datasets/covid-19/master/...
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import logging from django.test import TestCase, tag from oldp.apps.cases.models import Case from oldp.apps.references.models import CaseReferenceMarker, ReferenceFromCase from oldp.apps.references.models import Reference logger = logging.getLogger(__name__) @tag('models') class ReferencesModelsTestCase(TestCase):...
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from typing import NamedTuple, Optional from mypy.plugin import MethodContext from mypy.types import CallableType, TupleType from mypy.types import Type as MypyType from typing_extensions import final from classes.contrib.mypy.typeops import inference @final class _InferredArgs(NamedTuple): """Represents our ar...
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from typing import Any import pandas from pdpcli.stages.stage import Stage @Stage.register("pass_through") class PassThroughStage(Stage): def __init__(self, **kwargs: Any) -> None: super_kwargs = { "desc": "Pass through stage.", } super_kwargs.update(**kwargs) super()...
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import argparse from xpotato.graph_extractor.rule import RuleSet def get_args(): parser = argparse.ArgumentParser(description="") parser.add_argument("-f", "--features", type=str, required=True) parser.add_argument("-o", "--output", type=str, required=True) return parser.parse_args() def main(): ...
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class email: sender = "" def send_mail(self,recv,subject,contents): print("From:\t" + self.sender) print("To: \t" + recv) print("Subject: \t" + subject) print("Contents \t") print(contents,"\n") print("-"*20) ''' e = email() e.sender = "<EMAIL>" recv_list = ['<E...
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import unittest import hcl2 from checkov.terraform.checks.resource.azure.CutsomRoleDefinitionSubscriptionOwner import check from checkov.common.models.enums import CheckResult class TestCustomRoleDefinitionSubscriptionOwner(unittest.TestCase): def test_failure_1(self): hcl_res = hcl2.loads(""" ...
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import pandas as pd import celescope.tools.utils as utils from celescope.tools.step import Step from celescope.tools.analysis_mixin import AnalysisMixin from celescope.rna.analysis import get_opts_analysis class Analysis_rna_virus(Step, AnalysisMixin): def __init__(self, args, step_name): Step.__init__(s...
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from lib.python_actions import PuppetBasePythonAction __all__ = [ 'PuppetCertCleanAction' ] class PuppetCertCleanAction(PuppetBasePythonAction): def run(self, environment, host): success = self.client.cert_clean(environment=environment, host=host) return success
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import femagtools import os import logging machine = dict( name="PM 130 L4", lfe=0.1, poles=4, outer_diam=0.13, bore_diam=0.07, inner_diam=0.015, airgap=0.001, stator=dict( num_slots=12, num_slots_gen=3, mcvkey_yoke="dummy", rlength=1.0, st...
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from common import * people = ["Roi", "Alon", "Ailon", "Boaz", "Tal", "Omri", "Ori"] redis_graph = None class testEdgeByIndexScanFlow(FlowTestsBase): def __init__(self): self.env = Env(decodeResponses=True) def setUp(self): global redis_graph redis_con = self.env.getConnection() ...
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import sys import string import random def with_resource(resource): return 'https://ads-api.twitter.com{resource}'.format(resource=resource) def with_fixture(name): f = open('tests/fixtures/{name}.json'.format(name=name), 'r') return f.read() def characters(length): chars = string.ascii_uppercase + s...
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import os import signal import subprocess import time from unittest import TestCase from scripttest import TestFileEnvironment from .cli import setup_user_dir from .meter import Meter from .utils import create_executable d = os.path.dirname(__file__) PROJECT_PATH = os.path.abspath(os.path.join(d, os.pardir)) def cr...
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from __future__ import absolute_import from __future__ import print_function __author__ = 'a_medelyan' import rake # EXAMPLE: Extracting single words from a French text # French stopwords stoppath = "FrenchStoplist.txt" # 1. initialize RAKE by providing a path to a stopwords file and setting phrase length in words t...
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from unittest import TestCase import os import sys import time try: from core.datadog_client import DatadogClient except ImportError: sys.path.append(os.path.join(os.path.join(os.path.dirname(os.path.abspath(__file__)), os.pardir), os.pardir)) from core.datadog_client impo...
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import os from onadata.settings.common import * DEBUG = os.environ.get('DJANGO_DEBUG', 'True') == 'True' TEMPLATE_DEBUG = os.environ.get('TEMPLATE_DEBUG', 'True') == 'True' TEMPLATE_STRING_IF_INVALID = '' import dj_database_url DATABASES = { 'default': dj_database_url.config( env='TEST_DATABASE_URL', def...
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from tqdm import tqdm import pandas as pd import os import numpy as np import torch from global_parameters import HOW2QA_PATH, HOWTO_FEATURES_PATH train_csv = pd.read_csv(os.path.join(HOW2QA_PATH, "how2QA_train_release.csv")) train_csv.columns = ["vid_id", "timesteps", "a2", "a3", "a4", "question", "a1"] print(len(tra...
3237734
import os from pathlib import Path import ctypes from ctypes import * import array as arr import sys import argparse import time import numpy # Load binaries ME = Path(os.path.abspath(__file__)).parent SRC = ME / "src" BIN = SRC model_descriptor = ctypes.CDLL(str(BIN / 'model_descriptor.so')) model_arrays = ctypes.C...
3237737
import tensorflow as tf from tensorflow.python.ops.init_ops import Initializer from libspn.utils.serialization import register_serializable from libspn import conf def _tf_init_serialize(self): return self.get_config() def _tf_init_deserialize(self, data): self.__init__(**{k: v for k, v in data.items() if k...
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import functools import time from flask import current_app, g, url_for import requests from patchserver.models import WebhookUrls def webhook_event(func): """A decorator that will send a webhook event notification to a all URLs saved in the Patch Server database. """ @functools.wraps(func) def ...
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import torch from torch.nn import Module, MSELoss, L1Loss from .common_losses import SmoothnessLoss class SupervisedL1Loss(Module): def __init__(self, **kwargs): super(SupervisedL1Loss, self).__init__() self.l1_loss = L1Loss() def forward(self, pc_source: torch.Tensor, pc_target: torch.Tensor...
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import cv2 img = cv2.imread("image.jpg") gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) new_img = cv2.threshold(gray,120,255,cv2.THRESH_BINARY) cv2.imwrite("thresholding.jpg", new_img[1]) cv2.imshow("thresholding", new_img[1])
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import medic from maya import OpenMaya from maya import cmds class UnFrozenTransforms(medic.PyTester): Identity = OpenMaya.MMatrix() def __init__(self): super(UnFrozenTransforms, self).__init__() def Name(self): return "UnFrozenTransforms" def Description(self): return "Chec...
3237853
load("//bazel/rules/cpp:object.bzl", "cpp_object") def generate_unilang_token_files(): native.genrule( name = "unilang_tokens", outs = ["token_group.hpp", "token_group.cpp", "token_name.hpp", "token_name.cpp"], tools = ["//code/programs/transcompilers/old_unilang/tokens:unilang_token_file_g...
3237854
from uuid import UUID import graphene import graphene_django_optimizer as gql_optimizer from graphql.error import GraphQLError from atlas.models import Change from atlas.schema import ChangeNode class Query(object): changes = graphene.List( ChangeNode, id=graphene.UUID(), object_type=gra...
3237855
import PyPDF2, os #get all pdf files from directory pdf_files=[filename for filename in os.listdir('.') if filename.endswith('.pdf')] #sort filenames pdf_files.sort() count_merged_files = 0 pdfWriter = PyPDF2.PdfFileWriter() #copy each pdf file to the final output file for filename in pdf_files: print(f'Merging \'...
3237860
class Animal(): name = 'Amy' noise = "Grunt" size = "Large" color = "Brown" hair = 'Covers body' def get_color(self, abc): return self.color + " " + abc @property def make_noise(self): return self.noise dog = Animal() dog.get_color("red") dog.make_noise #arg = Posit...
3237995
from flask import Flask, jsonify, render_template, request import os, urllib from maraschino import app, RUNDIR, logger from socket import * from xbmc.xbmcclient import * from maraschino.tools import get_file_list from maraschino.models import XbmcServer @app.route('/xhr/xbmc_notify', methods=['post']) def xhr_notify...
3238018
import numpy as np import math class MLP: def __init__(self, input_size, learning_rate): self.weights = [] self.biases = [] self.input_size = input_size self.num_layers = 1 self.learning_rate = learning_rate def add_layer(self, k): # Check if network only has o...
3238037
from e2edet.dataset.reader.image_reader import ImageReader from e2edet.dataset.reader.point_reader import PointReader __all__ = ["ImageReader", "PointReader"]
3238043
from .adjust_code import adjust from .expected_failure import NotImplementedToExpectedFailure from .samples import SAMPLE_DATA, SAMPLE_SUBSTITUTIONS IGNORE_ORDER_DICTIONARY = { 'tuple': ['set', 'frozenset', 'dict'], 'list': ['set', 'frozenset', 'dict'], } def _builtin_test(test_name, datatype, operation, sma...
3238112
import os import app import json def real_path(file_name): return os.path.dirname(os.path.abspath(__file__)) + file_name def main(): try: config_file = real_path('/config/config.json') config = json.loads(open(config_file).read()) tunnel_type = str(config['tunnel_type']) ...
3238117
from ._version import __version__ from .mapping_utils import * from .utils import * from .plot_utils import *
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import numpy as np from bokeh.layouts import row, widgetbox from bokeh.models import CustomJS, Slider, Legend from bokeh.plotting import figure, output_file, show, ColumnDataSource # Unchanged variables N_years = 50 # Slider variables annual_ROI = .06 annual_inflation = .03 annual_savings = 10000 retired_tax_rate = ...
3238138
from tir import Webapp import unittest class TECA700(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.Setup("SIGATEC","11/12/2020","T1","D MG 01","28") inst.oHelper.Program("TECA700") def test_TECA700_001(self): self.oHelper.SetButton("Incluir") self.oHelper.Se...
3238188
import tensorflow as tf from utils.nn import NN class AttnGRU(object): """ Attention-based GRU (used by the Episodic Memory Module). """ def __init__(self, config): self.nn = NN(config) self.num_units = config.num_gru_units def __call__(self, inputs, state, attention): with tf.vari...
3238191
from abc import abstractmethod class IProvider(object): """ SmsFramework provider interface Implements methods to interact with the :class:`smsframework.Gateway` """ def __init__(self, gateway, name, **config): """ Initialize the provider :type gateway: Gateway :...
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import operator import random import re from collections import OrderedDict from hashlib import md5 from uuid import uuid4 from faker import Faker from pganonymizer.exceptions import InvalidProvider, InvalidProviderArgument, ProviderAlreadyRegistered fake_data = Faker() class ProviderRegistry(object): """A reg...
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def checkio(array): if array: return sum(array[::2])*array[-1] return 0 if [-45]: print [-45][-1] print [-45][::2] else: print "321" print checkio([0, 1, 2, 3, 4, 5]) == 30, "(0+2+4)*5=30" print checkio([1, 3, 5]) == 30, "(1+5)*5=30" print checkio([6]) == 36, "(6)*6=36" print checkio([]) ...
3238332
import argparse import torch from torch import nn import torch.nn.functional as F import torchvision from torchvision import transforms torch.manual_seed(0) from fedlab.core.server.handler import SyncParameterServerHandler from fedlab.core.server.scale.manager import ScaleSynchronousManager from fedlab.core.network ...
3238338
import mumaxc as mc import micromagneticmodel.tests as mmt class TestZeeman(mmt.TestZeeman): def test_script(self): for H in self.valid_args: zeeman = mc.Zeeman(H=H) script = zeeman._script assert script.count("\n") == 3 assert script[0:2] == "//" ...
3238358
import unittest from collections import namedtuple from contextlib import contextmanager from tempfile import NamedTemporaryFile from typing import Any, AsyncGenerator, ContextManager, Generator, Iterable import aiohttp import asyncio from aiohttp_wsgi.wsgi import run_server, WSGIEnviron, WSGIStartResponse from aiohttp...
3238386
import FWCore.ParameterSet.Config as cms from DQMServices.Core.DQMEDHarvester import DQMEDHarvester SiPixelPhase1ResidualsExtra = DQMEDHarvester("SiPixelPhase1ResidualsExtra", TopFolderName = cms.string('PixelPhase1/Tracks/ResidualsExtra'), MinHits = cms.int32(30) )
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import sys import os from typing import Any import string import json template = """ /* * DO NOT EDIT THIS FILE. * This files was generated by test-generator.py. * Any changes should be done there. * DO NOT EDIT THIS FILE. */ #include <signal.h> #include <stdio.h> #include <stdlib.h> #include <unistd.h> #include...
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import collections class Extractor: """ Extractor is a class that extracts and normalizes values from incoming message dictionaries into ordered dictionaries based on the `type` key of each message. """ def __init__(self, omit=None, normalizers=None, keys_by_type=None, accept...
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import unittest from itertools import islice # class TestNullTuningDriver(unittest.TestCase): # def test_import(self): # import ctree.tune # def test_null_driver_stream(self): # from ctree.tune import NullTuningDriver # driver = NullTuningDriver() # for cfg in islice(driver.c...
3238506
import unittest from traits.testing.api import doctest_for_module import codetools.util.tree as tree class TreeDocTestCase(doctest_for_module(tree)): pass if __name__ == '__main__': import sys unittest.main(argv=sys.argv)
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from os.path import dirname, abspath, join from setuptools import setup with open(abspath(join(dirname(__file__), 'README.rst'))) as fileobj: README = fileobj.read().strip() install_reqs = [req for req in open(abspath(join(dirname(__file__), 'requirements.txt')))] setup( name='live_thumb', description='M...
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from __future__ import unicode_literals, print_function import sys import os import re def process_input(line_stream, basepath, chunksize, context_path): outfile = None try: for i, line in enumerate(line_stream): line = line.strip() if not line: continue ...
3238669
import types import dis import dill from .serialization_helpers import has_uuid, do_import GLOBALS_ERROR_MESSAGE=""" The function you tried to save uses information from global scope, which can't be saved. This most frequently occurs when you use a package imported outside the function. For more information, see: http...
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from .methods import InducingPointInitializer, FirstSubsample, ConditionalVariance, UniformSubsample, Kmeans from .rls import RLS from .kdpp_mcmc import KdppMCMC
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from packaging import version from .. import VERSION from ..exceptions import B5ExecutionError B5_VERSION = version.parse(VERSION) def ensure_config_version(config_version_str: str) -> None: if not isinstance(config_version_str, str): config_version_str = str(config_version_str) try: config_...
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class Solution: def countTriples(self, n: int) -> int: cnt = 0 for a in range(1, n + 1): a2 = a * a for b in range(1, n + 1): c = (a2 + b * b) ** 0.5 cnt += c == int(c) and c <= n return cnt
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import pathlib import structlog import click import requests import pandas as pd from covidactnow.datapublic import common_init from covidactnow.datapublic import common_df from covidactnow.datapublic.common_fields import CommonFields DATASET_URL = ( "https://github.com/covid-projections/covid-projections/raw/de...
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import demistomock as demisto from CommonServerPython import * # noqa: E402 lgtm [py/polluting-import] from CommonServerUserPython import * # noqa: E402 lgtm [py/polluting-import] import math import string def calculate_shannon_entropy(data, minimum_entropy): """Algorithm to determine the randomness of a given ...
3238810
import sys from typing import List, Optional, TypeVar, Union import torch from torch import nn from torch.utils.data import DataLoader from tqdm import tqdm from squeezer.logging.abstract import AbstractLogger from squeezer.logging.stub import StubLogger from squeezer.policy import AbstractDistillationPolicy from squ...
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from data_importers.management.commands import BaseXpressDemocracyClubCsvImporter class Command(BaseXpressDemocracyClubCsvImporter): council_id = "ASF" addresses_name = "2021-03-18T09:55:17.756012/Ashford Democracy_Club__06May2021.tsv" stations_name = "2021-03-18T09:55:17.756012/Ashford Democracy_Club__06...
3238872
from django.test import TestCase from django.urls.resolvers import URLResolver, RegexPattern class UrlsTestCase(TestCase): def setUp(self): pass # "/"にアクセスしたときHomePageViewが呼ばれることを確認する def test_access_index(self): url_resolver = URLResolver(RegexPattern(''), "backend.urls") ...
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import torch from torch.nn import Module def dice_loss(input, target): """Dice loss. :param input: The input (predicted) :param target: The target (ground truth) :returns: the Dice score between 0 and 1. """ eps = 0.0001 iflat = input.view(-1) tflat = target.view(-1) intersectio...
3238935
import inspect import sys from unittest import mock import pytest from bottery.message import Response from bottery.platforms import BaseEngine from utils import AsyncMock @pytest.fixture def settings(): settings = mock.Mock() sys.modules['settings'] = settings yield settings del sys.modules['settin...
3238957
import unittest import numpy as np import pandas as pd from supervised.preprocessing.preprocessing_utils import PreprocessingUtils class PreprocessingUtilsTest(unittest.TestCase): def test_get_type_numpy_number(self): tmp = np.array([1, 2, 3]) tmp_type = PreprocessingUtils.get_type(tmp) se...
3238997
import os import tempfile import unittest import logging from pyidf import ValidationLevel import pyidf from pyidf.idf import IDF from pyidf.plant_heating_and_cooling_equipment import DistrictHeating log = logging.getLogger(__name__) class TestDistrictHeating(unittest.TestCase): def setUp(self): self.fd,...
3239005
import torch from torch import nn from torch.nn import CrossEntropyLoss, MSELoss from torch_util.hypers_base import HypersBase import logging from transformers import ( AlbertConfig, AlbertModel, AlbertTokenizer, BertConfig, BertModel, BertTokenizer, ) logger = logging.getLogger(__name__) MO...
3239010
works = { 'schema': { 'title': { 'type': 'string', 'required': True, }, 'description': { 'type': 'string', }, 'owner': { 'type': 'objectid', 'required': True, # referential integrity constraint: value mus...
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from __future__ import absolute_import, division, print_function, unicode_literals # Which attributes we extract (with gumbocy) from the HTML. # All the others are ignored ATTRIBUTES_WHITELIST = frozenset([ "id", "class", "role", "content", "name", "href", "alt", "src", "hidden", ...
3239072
import csv import torch import logging import imageio import numpy as np import functools from scipy.misc import imsave from tqdm import tqdm from pathlib import Path from src.runner.predictors.base_predictor import BasePredictor from src.utils import denormalize class Dsb15VSRPredictor(BasePredictor): """The DS...
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ENRICH_SNAPSHOT_TASK_NAME = "enrich_snapshot_task" PREVIEW_TASK_NAME = "preview_task" SIMILARITY_SCAN_TASK_NAME = "similarity_scan_task" SNAPSHOT_TASK_NAME = "take_snapshot_task" YARA_SCAN_TASK_NAME = "yara_scan_task"
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import os from setuptools import setup def read(fname: str = None) -> str: """read files with in dir""" if fname: return open(os.path.join(os.path.dirname(__file__), fname)).read() setup( name="Contact Book API", version="0.0.1", description=read('read.md'), packages=( 'fast...
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import torch import math ###################################################################### ############################ MODEL UTILS ############################# ###################################################################### def num_trainable_params(model): total = 0 for p in model.parameters()...
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from contextlib import contextmanager from unittest.mock import patch from corehq.util.urlvalidate.ip_resolver import CannotResolveHost @contextmanager def hostname_resolving_to_ips(hostname, ips): ip_tuples = [_create_tuple(ip) for ip in ips] with patch('socket.getaddrinfo') as mock_getaddrinfo: moc...
3239194
import io from .STDFRecordTest import STDFRecordTest from Semi_ATE.STDF import SBR # Software Bin Record # Function: # Stores a count of the parts associated with a particular logical bin after # testing. Thisbin count can be for a single test site (when parallel # testing) or a total for all test sites.Th...
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from typing import Any, Dict, Hashable class SolverResult: def __init__( self, decisions, attempted_solutions ): # type: (Dict[Hashable, Any], int) -> None self._decisions = decisions self._attempted_solutions = attempted_solutions @property def decisions(self): # type: () -...
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from django.db import models # Model Tasks 1-5 ##################################### class Teacher(models.Model): firstname = models.CharField(max_length=100) surname = models.CharField(max_length=100) def __str__(self): return self.firstname class Student(models.Model): firstn...
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import click import sys from elliottlib import Runtime from elliottlib.cli.common import cli, use_default_advisory_option, find_default_advisory from elliottlib import errata pass_runtime = click.make_pass_decorator(Runtime) @cli.command('advisory-impetus', short_help='Get advisory impetus') @click.option( '--a...
3239393
from flask_restplus import Namespace, fields, Resource, reqparse, inputs from . import status_model from rekcurd_dashboard.models import db, DataServerModel, DataServerModeEnum from rekcurd_dashboard.utils import RekcurdDashboardException from rekcurd_dashboard.apis import DatetimeToTimestamp data_server_api_namespa...
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HOME_PATH = "~/.autovizwidget" CONFIG_FILE = "config.json" GRAPH_RENDER_EVENT = "notebookGraphRender" GRAPH_TYPE = "GraphType"
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from scripts.helpful_scripts import LOCAL_BLOCKCHAIN_ENVIRONMENTS, get_account from brownie import ( GovernorContract, GovernanceToken, GovernanceTimeLock, Box, Contract, config, network, accounts, chain, ) from web3 import Web3, constants # Governor Contract QUORUM_PERCENTAGE = 4 #...
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import FWCore.ParameterSet.Config as cms from DQMServices.Core.DQMEDHarvester import DQMEDHarvester rpcDcsInfoClient = DQMEDHarvester("RPCDcsInfoClient", dcsInfoFolder = cms.untracked.string("RPC/DCSInfo"), dqmProvInfoFolder = cms.untracked.string("In...
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b"foo" "foo" "foo" "bar" b"foo" b"bar" r"\nfoo\s" rb"\nfoo\s" "a\\b\'b\"b" "a\sb" "a\x01b" "a\0" "a\00" "a\000" "a\0000" b"\x90" """foo bar""" """\ foo bar """ "a\u007fb" "a\U0000007fb" b"a\u007fb" b"a\U0000007fb"
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import pytest from sqlalchemy.ext.hybrid import hybrid_method from sqlalchemy.ext.hybrid import hybrid_property from graygram import cache @pytest.fixture(autouse=True) def change_model_base_class(request): cache.MODEL_BASE_CLASS = Model def teardown(): from graygram.orm import db cache.MOD...
3239587
from django.contrib import sitemaps from django.core.urlresolvers import reverse class StaticViewSitemap(sitemaps.Sitemap): priority = 0.5 changefreq = 'monthly' def items(self): return ['landpage','robots','humans','google_plus_verify','terms','privacy',] def location(self, item): ...
3239595
from reader._plugins import global_metadata def test_plugin(make_reader, db_path): reader = make_reader(db_path, plugins=[global_metadata.init_reader]) reader = make_reader(db_path, plugins=[global_metadata.init_reader]) reader.update_feeds() assert dict(reader.get_global_metadata()) == {} asser...
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from itertools import islice, groupby import time from flask import render_template, current_app, request from hubmap_api_py_client import Client from .utils import get_default_flask_data, make_blueprint from operator import itemgetter from collections import defaultdict from dataclasses import dataclass bluepri...
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USERNAME = 'username' PASSWORD = 'password' UPDATED_AT = 'updated_at' EXPIRES_AT = 'expires_at' CREATED_AT = 'created_at' ACTIVE = 'active' LOGINS_COUNT = 'logins_count' SU = 'su' BLANK = '' INFO = 'info' WARNING = 'warning' SUCCESS ...