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import base64 import requests from kairos_face import exceptions from kairos_face import settings from kairos_face.utils import validate_file_and_url_presence, validate_settings _verify_base_url = settings.base_url + 'verify' def verify_face(subject_id, gallery_name, url=None, file=None, additional_arguments={}): ...
3287705
import sys import py import pypy pytest_plugins = "pytester" def setpypyconftest(testdir): path = str(py.path.local(pypy.__file__).dirpath().dirpath()) testdir.makeconftest(""" import sys sys.path.insert(0, %r) from pypy.conftest import * """ % path) def test_pypy_collection(testd...
3287720
from PATHS import * import pandas as pd import json def get_movie_ids(): return json.load(open(movielens_match_movieid)) def get_ratings(): df = pd.read_csv(movie_lens_title_path, chunksize=200000, low_memory=False, encoding="ISO-8859-1") return df def map_titles(): ids = sorted(get_movie_ids()) cntr = 0 for...
3287729
import os import sys import glob import toml from importlib import import_module import re import math import colorsys import webcolors from pathlib import Path from robosat_pink.tiles import tile_pixel_to_location, tiles_to_geojson # # Import module # def load_module(module): module = import_module(module) ...
3287744
import json from csv import DictReader as cdr """ # Data processing steps This script was used to process a few xlsx files to look at expediture data based on income and region - source: http://www.bls.gov/cex/ - files under Region of residence by income before taxes: - xregnmw.xlsx - xregnne.xlsx - xregns.xls...
3287759
import os import re import six import base64 import hashlib import functools import warnings from os.path import isabs, abspath from zope.interface import Interface, Attribute, implementer from twisted.internet import defer from twisted.python import log from txtorcon.util import find_keywords, version_at_least from...
3287773
import django.db.models.deletion from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("zerver", "0030_realm_org_type"), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrat...
3287875
from __future__ import unicode_literals import datetime import decimal import json from collections import OrderedDict from django.contrib.auth import get_permission_codename from django.contrib.auth.decorators import login_required from django.core.exceptions import FieldDoesNotExist from django.core.exceptions imp...
3287890
import pytest import numpy as np from sklearn.datasets import load_iris from sknet.network_construction import KNNConstructor from sknet.unsupervised import StochasticParticleCompetition @pytest.fixture def X_y_generator(): X, y = load_iris(return_X_y=True) y = np.array(y, dtype='float32') return X, y...
3287926
import math import moderngl_window class BasicWindowConfig(moderngl_window.WindowConfig): """Minimal WindowConfig example""" gl_version = (3, 3) title = "Basic Window Config" def __init__(self, **kwargs): super().__init__(**kwargs) def render(self, time, frametime): ...
3287936
import pickle import sqlite3 import numpy as np import os # 로컬 디렉토리에서 HashingVectorizer를 임포트합니다 from vectorizer import vect def update_model(db_path, model, batch_size=10000): conn = sqlite3.connect(db_path) c = conn.cursor() c.execute('SELECT * from review_db') results = c.fetchmany(batch_size) ...
3287988
from unittest import mock import pytest from binderhub.ratelimit import RateLimiter, RateLimitExceeded def test_rate_limit(): r = RateLimiter(limit=10, period_seconds=60) assert r._limits == {} now = r.time() reset = int(now) + 60 with mock.patch.object(r, "time", lambda: now): limit = r...
3288000
import io from typing import BinaryIO, Type, TypeVar, TYPE_CHECKING _T_SizedBytes = TypeVar("_T_SizedBytes", bound="SizedBytes") def hexstr_to_bytes(input_str: str) -> bytes: """ Converts a hex string into bytes, removing the 0x if it's present. """ if input_str.startswith("0x") or input_str.startswi...
3288019
from ptypes import * from . import art,graph from . import * import operator,functools,itertools import logging ptypes.setbyteorder(ptypes.config.byteorder.littleendian) pbinary.setbyteorder(ptypes.config.byteorder.littleendian) @Record.define class BIFF5(ptype.definition): type, cache = '.'.join([__name__, 'BIF...
3288023
from collections import defaultdict from urllib.parse import urlencode from flask import g, Flask import settings from godmode.acl import ACL from godmode.models import models, model_map, model_hash def init_templates(app: Flask): app.context_processor(godmode_context_processor) app.add_template_filter(no_e...
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import numpy as np import random import pandas as pd import keras from keras import backend as K from keras import layers from keras.datasets import mnist from keras.datasets import cifar10 from keras.utils import np_utils from sklearn.model_selection import train_test_split # IP Address: 172.16.17.32 # User: dbAdmi...
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from itertools import izip import numpy as np import theano import theano.tensor as tt def select_theano_act_function(name, dtype=theano.config.floatX): """ Given the name of an activation function, returns a handle for the corresponding function in theano. """ if name == 'logistic': clip = ...
3288114
import unittest import xml.etree.ElementTree as etree from typing import Optional from supplement_xml.supplement_xml import elm_to_obj from supplement_xml.supplement_xml import obj_to_elm class Test1: aaa: str bbb: int ccc: float dddd = 0 class Test2: aaa: str = 'test2' b...
3288115
from coldtype.test import * from coldtype.midi.controllers import LaunchControlXL @test((1000, 300)) def test_system_font(r): return DATText("Hello, world!", Style("Times", 100, load_font=0, fill=0), r.offset(100, 100)) @test((1000, 300), rstate=1) def test_return_string(r, rs): ri = r.inset(30) sx, sy = ...
3288138
import numpy as np import segmentation_models from farmer.ncc.optimizers import AdaBound from farmer.ncc import losses, models from ..model.task_model import Task from tensorflow import keras import tensorflow_addons as tfa class BuildModelTask: def __init__(self, config): self.config = config def...
3288180
def onValueChange(channel, sampleIndex, val, prev): op('tex3d_captures').par.replaceindex = val op('tex3d_captures').par.resetsinglepulse.pulse()
3288238
from unittest import TestCase from unittest.mock import Mock from app.core.config import ProfileGroup from tests.test_data.test_accounts import get_test_group, get_test_group_no_default class TestProfileGroup(TestCase): def setUp(self): self.profile_group = ProfileGroup('test', get_test_group()) def...
3288415
import midi # Instantiate a MIDI Pattern (contains a list of tracks) pattern = midi.Pattern() # Instantiate a MIDI Track (contains a list of MIDI events) track = midi.Track() # Append the track to the pattern pattern.append(track) # Instantiate a MIDI note on event, append it to the track on = midi.NoteOnEvent(tick=0, ...
3288423
import logging import re from discord import CustomActivity from bot.plugins.base import BasePlugin from bot.plugins.commands import command from .models import GameStatus logger = logging.getLogger(__name__) class Plugin(BasePlugin): has_blocking_io = True @command(pattern=re.compile(r'(?P<status>.+)',...
3288427
import functools from importlib import import_module from django.core.exceptions import ViewDoesNotExist from django.utils.module_loading import module_has_submodule @functools.lru_cache(maxsize=None) def get_callable(lookup_view): """ Return a callable corresponding to lookup_view. * If lookup_view is a...
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import discord from discord.errors import InvalidArgument from redbot.core import commands, Config, checks from redbot.core.utils.menus import DEFAULT_CONTROLS, menu class NonNitroEmoji(commands.Cog): def __init__(self, bot): self.bot = bot self.config = Config.get_conf(self, identifier=345...
3288440
import json import demistomock as demisto from CommonServerPython import * """ Use the IvantiHeatCreateProblemExample script to create a problem object (JSON) in Ivanti Heat. The script gets the arguments required to create the problem, such as category, subject, and so on. It creates the JSON object and sets it insi...
3288491
vkin = open("pysnark_vk", "r") vkout = open("verification_key.json", "w") print('{', file=vkout) print(' "protocol": "groth16",', file=vkout) print(' "curve": "bn128",', file=vkout) def process_g2(nm, fin, fout, skipcomma=False): a1=list(map(lambda x:x.strip(),next(fin).split(" "))) a2=list(map(lambda x:x.str...
3288506
import argparse import base64 import sys from base64 import b64decode as b64decodeValidate from base64 import encodebytes as b64encodebytes from timeit import default_timer as timer import pybase64 def bench_one(duration, data, enc, dec, encbytes, altchars=None, validate=False): duration = duration / 2.0 if...
3288533
import torch import torch.nn as nn class G12(nn.Module): # Convert MNIST to SVHN def __init__(self, depth=64): super(G12, self).__init__() # Encoding Layer self.conv1 = nn.Sequential(nn.Conv2d(1, depth, kernel_size=4, stride=2, padding=1), nn.BatchNor...
3288553
from setuptools import setup setup(name='cleese', version='0.1.0', install_requires=['numpy', 'scipy'])
3288573
from django.dispatch import receiver from django.db import transaction from baserow.contrib.database.table import signals as table_signals from baserow.contrib.database.api.tables.serializers import TableSerializer from baserow.ws.tasks import broadcast_to_group @receiver(table_signals.table_created) def table_crea...
3288591
import unittest from sacrerouge.common.testing.util import sacrerouge_command_exists class TestMultiLing2011Subcommand(unittest.TestCase): def test_command_exists(self): assert sacrerouge_command_exists(['setup-dataset', 'multiling2011'])
3288615
from nose import SkipTest import networkx as nx from networkx.generators.degree_seq import havel_hakimi_graph class TestLaplacian(object): numpy=1 # nosetests attribute, use nosetests -a 'not numpy' to skip test @classmethod def setupClass(cls): global numpy global assert_equal glo...
3288617
from pprint import pprint from configparser import ConfigParser from td.credentials import TdCredentials from td.client import TdAmeritradeClient from td.utils.enums import Projections # Initialize the Parser. config = ConfigParser() # Read the file. config.read('config/config.ini') # Get the specified credentials. ...
3288619
import os import sys import pytest import operator from ctypes import byref, c_int, c_uint16 import sdl2 from sdl2.stdinc import SDL_TRUE, SDL_FALSE from sdl2 import SDL_Init, SDL_Quit, rwops, version, audio if sys.version_info[0] >= 3: from functools import reduce sdlmixer = pytest.importorskip("sdl2.sdlmixer") ...
3288624
from django.contrib.postgres.fields import ArrayField # pragma: postgres from django.db import models # pragma: postgres class ArrayModel(models.Model): # pragma: postgres char_array_field = ArrayField(null=True, base_field=models.CharField(max_length=32)) int_array_field = ArrayField(null=True, base_field...
3288696
from __future__ import print_function import matplotlib.pyplot as plt import scipy.spatial import numpy as np from matplotlib.colors import colorConverter import mpl_toolkits.mplot3d as a3 def draw(self, ax=None, **kwargs): if self.getDimension() == 2: return self.draw2d(ax=ax, **kwargs) elif self.ge...
3288743
from django.conf import settings from django.conf.urls.i18n import is_language_prefix_patterns_used from django.http import HttpResponseRedirect from django.urls import get_script_prefix, is_valid_path from django.utils import translation from django.utils.cache import patch_vary_headers from django.utils.deprecation i...
3288782
from datetime import date, datetime, timedelta from freezegun import freeze_time from app.dao.notifications_dao import dao_get_total_notifications_sent_per_day_for_performance_platform from app.models import KEY_TYPE_NORMAL, KEY_TYPE_TEAM, KEY_TYPE_TEST from tests.app.db import create_notification BEGINNING_OF_DAY ...
3288820
from . import coordinates from . import velocities from . import box_vectors from . import file_info
3288833
import sys import pytest def test_propagate_primary_is_Master_update_watermarks(checkpoint_service): # expected behaviour is that h must be set as last ordered ppSeqNo checkpoint_service._is_master = True checkpoint_service._data.low_watermark = 0 checkpoint_service._data.last_ordered_3pc = (checkpoi...
3288838
del_items(0x8007B9E4) SetType(0x8007B9E4, "int GetTpY__FUs(unsigned short tpage)") del_items(0x8007BA00) SetType(0x8007BA00, "int GetTpX__FUs(unsigned short tpage)") del_items(0x8007BA0C) SetType(0x8007BA0C, "void Remove96__Fv()") del_items(0x8007BA44) SetType(0x8007BA44, "void AppMain()") del_items(0x8007BAE4) SetType...
3288847
from __future__ import unicode_literals import logging import os import shutil import tempfile from io import open from logging.handlers import BufferingHandler from unittest import TestCase from ..db import Database def create_file(temp_folder, path, size): path = os.path.join(temp_folder, *path) dirname =...
3288886
import asyncio from pathlib import Path from time import time from pydf import AsyncPydf, generate_pdf THIS_DIR = Path(__file__).parent.resolve() html = (THIS_DIR / 'invoice.html').read_text() OUT_DIR = THIS_DIR / 'output' if not OUT_DIR.exists(): Path.mkdir(OUT_DIR) def go_sync(): count = 10 for i in ...
3288943
from .corpus_data_wrapper import CorpusDataWrapper from .convenience_corpus import ConvenienceCorpus, from_model, from_base_dir from .index_wrapper import Indexes, ContextIndexes from .sentence_data_wrapper import TokenH5Data, SentenceH5Data __all__ = [ 'CorpusDataWrapper', 'Indexes', 'ContextIndexes', ...
3288946
import datetime from briefmetrics.lib.table import Table, Column from briefmetrics.lib.gcharts import encode_rows from briefmetrics.lib import helpers as h from briefmetrics.lib.report import ( EmptyReportError, WeeklyMixin, MonthlyMixin, cumulative_by_month, ) from .base import GAReport from .helpers ...
3289006
from __future__ import unicode_literals from __future__ import print_function from __future__ import division from __future__ import absolute_import from future import standard_library standard_library.install_aliases() # NOQA import unittest import numpy import chainer from chainer import cuda from chainer import g...
3289029
import urllib.request import json import os from tqdm import tqdm with open ('CTC_anns.json', 'r') as fp: ctc_anns = json.load(fp) os.mkdir('./images/') for item in tqdm(ctc_anns['images']): urllib.request.urlretrieve(item['coco_url'], './images/'+ item['coco_url'].strip().split('/')[-1])
3289045
from auto_yolo import envs readme = "Testing air variational autoencoder with math." distributions = None durations = dict() n_digits = 2 largest_digit = n_digits * 9 n_classes = largest_digit + 1 config = dict( n_train=16000, min_digits=n_digits, max_digits=n_digits, max_time_steps=n_digits, run_all_time_...
3289068
import os from config.dev.settings import * DEBUG = False WSGI_APPLICATION = 'config.prd.app.application' DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': os.environ.get('DB_NAME', 'fec_prd'), 'USER': os.environ.get('DB_USER', 'fec_prd'), 'PAS...
3289081
from .constants import gravitational_acceleration, air_gas_constant from .Ambient import Ambient from .Aerodynamic import coefficients_data
3289095
import argparse import os from uuid import uuid1 import optuna from dotenv import load_dotenv from optuna.integration.pytorch_lightning import PyTorchLightningPruningCallback from pytorch_lightning import Trainer from pytorch_lightning.callbacks import EarlyStopping, GPUStatsMonitor, ModelCheckpoint from pytorch_light...
3289106
import requests as _requests from goldsberry.apiconvertor import * class team_info: def __init__(self, teamid, season='2015',league='NBA', seasontype=1): self._url = "http://stats.nba.com/stats/teaminfocommon?" self._api_param = {'TeamID':teamid, 'LeagueID': nba_league(l...
3289135
class Solution: def multiply(self, T, M): a = (T[0][0] * M[0][0] + T[0][1] * M[1][0] + T[0][2] * M[2][0]) b = (T[0][0] * M[0][1] + T[0][1] * M[1][1] + T[0][2] * M[2][1]) c = (T[0][0] * M[0][2] + T[0][1] * M[1][2] + T[0][2] * M[2][2]) d = (T[1][0] * M[0][0] + T[1][1] * M[1][0] + T[1][...
3289145
from Skoarcery.factoary.Build_Sc import Build_Sc if __name__ == '__main__': b = Build_Sc() b.sanity()
3289167
from django.contrib import admin from django.contrib.admin.filters import ( SimpleListFilter, AllValuesFieldListFilter, ChoicesFieldListFilter, RelatedFieldListFilter, RelatedOnlyFieldListFilter ) class InputFilter(admin.SimpleListFilter): template = 'baton/filters/input_filter.html' def ...
3289181
import struct from ctypes import * SS0 = [696885672, 92635524, 382128852, 331600848, 340021332, 487395612, 747413676, 621093156, 491606364, 54739776, 403181592, 504238620, 289493328, 1020063996, 181060296, 591618912, 671621160, 71581764, 536879136, 495817116, 549511392, 583197408, 147374280, 386339604, 629514...
3289194
CONSOLE_API_URL = "https://api.capellaspace.com" DEFAULT_TIMEOUT = 60 DEFAULT_PAGE_SIZE = 999 DEFAULT_MAX_FEATURE_COUNT = 500 SUPPORTED_SEARCH_FIELDS = { "bbox", "intersects", "collections", "ids", "limit", } SUPPORTED_QUERY_FIELDS = { "center_frequency", "collect_id", "constellation...
3289195
import argparse import logging import numpy as np import os import sys import torch from models.graph2seq_series_rel import Graph2SeqSeriesRel from models.seq2seq import Seq2Seq from torch.utils.data import DataLoader from utils import parsing from utils.data_utils import canonicalize_smiles, load_vocab, S2SDataset, G2...
3289222
from com.huawei.iotplatform.client.dto.ObjectNode import ObjectNode from com.huawei.iotplatform.client.dto.TagDTO2 import TagDTO2 class BatchTaskCreateInDTO(object): tags = TagDTO2 param = ObjectNode def __init__(self): self.appId = None self.taskName = None self.taskType = None ...
3289236
from rlil.nn import RLNetwork from .approximation import Approximation class VNetwork(Approximation): def __init__( self, model, optimizer, name='v', **kwargs ): model = VModule(model) super().__init__( model, ...
3289248
import multiprocessing import numpy as np import time logfile = open("log.txt", "w") class SharedTrainingStat(): def __init__(self): self.manager = multiprocessing.Manager() self.lock = self.manager.Lock() self.total = self.manager.Value("total", 0) self.acc = self.manager.Value("...
3289253
import os import glob import shutil import sys from collections import defaultdict from textwrap import dedent import datetime from nbgrader.exchange.abc import ExchangeCollect as ABCExchangeCollect from .exchange import Exchange from nbgrader.utils import check_mode, parse_utc from ...api import Gradebook, MissingEn...
3289282
import torch.nn as nn class GroupNorm(nn.GroupNorm): def __init__( self, num_features: int, num_groups: int=None, **kwargs ) -> None: """ Convenience wrapper for nn.GroupNorm to make kwargs compatible with nn.BatchNorm Infers...
3289285
from sklearn.datasets import load_breast_cancer import pandas as pd cancer = load_breast_cancer() df = pd.DataFrame(data=cancer.data, columns=cancer.feature_names) df['diagnosis'] = cancer.target df.loc[df.diagnosis==0,'diagnosis'] = -1 df.loc[df.diagnosis==1,'diagnosis'] = 0 df.loc[df.diagnosis==-1,'diagnosis'] = 1 d...
3289287
import sys import imgui import time from . import imgui_ext from .imgui_image_lister import ImGuiImageLister from . import imgui_cv from .static_vars import static_vars from collections import deque from timeit import default_timer import os import pygame import OpenGL.GL as gl from imgui.integrations.pygame import ...
3289318
import pytest from tesseractXplore.atlas import get_atlas_dimensions # Test various combinations of inputs and limits @pytest.mark.parametrize( 'n_images, x, y, limit_kwarg, expected_dimensions', [ (14, 75, 75, {}, (154, 539)), (15, 75, 75, {}, (308, 308)), (16, 75, 75, {}, (308, 308))...
3289341
import flask from ddtrace import Pin from ddtrace.contrib.flask import unpatch from . import BaseFlaskTestCase class FlaskBlueprintTestCase(BaseFlaskTestCase): def test_patch(self): """ When we patch Flask Then ``flask.Blueprint.register`` is patched Then ``flask.Blueprin...
3289353
paraphrase = [ [('model_name',), ['gpt2-large']], [('dataset',), ["datasets/paranmt_filtered"]], [('batch_size',), [5]], [('accumulation',), [4]], [('num_epochs',), [2]], [('beam_size',), [1]], [('eval_batch_size',), [1]], [('learning_rate',), ["5e-5"]], [('gpu',), ["m40"]], [('n...
3289356
import logging import json import re import core from core.helpers import Torrent, Url cookie = None command_id = 0 label_fix = re.compile('[^a-z0-9_-]') headers = {'Content-Type': 'application/json', 'User-Agent': 'Watcher'} logging = logging.getLogger(__name__) def test_connection(data): ''' Tests connectiv...
3289410
from sys import stdin, stdout # one way to find angrams can be to sort two strings and then check if both of them are equal s1 = stdin.readline() s2 = stdin.readline() if len(s1) != len(s2): exit() if set(s1) & set(s2) == set(s1): print("Contains same Character") else: print("Cannot be Anagra...
3289425
from __future__ import absolute_import, unicode_literals from django.utils.translation import ugettext_lazy as _ from navigation import Menu menu_documents = Menu( icon='fa fa-file', label=_('Documents'), name='documents menu' )
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from __future__ import annotations import dataclasses import io import math from fractions import Fraction from pathlib import Path from django.core import checks from django.core.files.base import ContentFile from django.core.files.storage import Storage from django.db.models import ImageField from django.db.models....
3289466
import logging from scout.constants import CONSEQUENCE, FEATURE_TYPES, SO_TERM_KEYS from .transcript import build_transcript LOG = logging.getLogger(__name__) def build_gene(gene, hgncid_to_gene=None): """Build a gene object Has to build the transcripts for the genes to Args: gene(dict): ...
3289471
import html import logging import queue import threading import time from .incoming_message import IncomingMessage from .utils import CONF_START, LongpollMessage logger = logging.getLogger('vkapi.receiver') class MessageReceiver: def __init__(self, api, get_dialogs_interval=-1, message_class=IncomingMessage): ...
3289502
import numpy as np import os from torch.utils.data import Dataset import glob import numpy as np from tqdm import tqdm import dill as pickle import torch from copy import deepcopy import json import random class ROCdataset(): def __init__(self, src_dir, train=True): print("Loading data ... ") # loa...
3289513
from io import BytesIO from gzip import GzipFile from pathlib import Path import logging import esphome.codegen as cg import esphome.config_validation as cv from esphome.config import strip_default_ids from esphome.cpp_generator import ArrayInitializer from esphome.yaml_util import dump, load_yaml from esphome.core imp...
3289516
import shutil import pytest import yaml import brownie from brownie.exceptions import CompilerError from brownie.project import compile_source from brownie.project.main import install_package @pytest.fixture(autouse=True) def setup(): yield path = brownie._config._get_data_folder().joinpath("packages") ...
3289530
from ansible import utils, errors import os import xml.etree.ElementTree as etree class LookupModule(object): def __init__(self, basedir=None, **kwargs): self.basedir = basedir def tostr(self, node): if isinstance(node, etree._Element): if len(node.getchildren()) == 0: ...
3289556
import itertools import operator import numpy as np import matplotlib.pyplot as plt from django.core.management.base import BaseCommand from app import models class Command(BaseCommand): help = "beer" def add_arguments(self, parser): parser.add_argument("projects", nargs="+") def handle(self, ...
3289609
from __future__ import print_function from Crypto.Hash import SHA from st2actions.runners.pythonrunner import Action __all__ = [ 'ShaIt' ] class ShaIt(Action): def run(self, message, handle): sha_message = message + handle return SHA.new(sha_message).hexdigest()
3289663
import datetime import decimal import json from time import mktime class SendwithusJSONEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, datetime.datetime): return int(mktime(obj.timetuple())) if isinstance(obj, decimal.Decimal): return float(obj) ...
3289681
from amodem import config def test_bitrates(): for rate, cfg in sorted(config.bitrates.items()): assert rate * 1000 == cfg.modem_bps def test_slowest(): c = config.slowest() assert c.Npoints == 2 assert list(c.symbols) == [-1j, 1j]
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class Solution: def reverse(self, x): """ :type x: int :rtype: int """ flag = 1 if x < 0: x = -x flag = -1 result = 0 while x: result = result * 10 + x % 10 #出现溢出 if result >= 2 ** 31 - 1: ...
3289732
from __future__ import division, absolute_import, print_function import re import scipy from numpy.testing import assert_ def test_valid_scipy_version(): # Verify that the scipy version is a valid one (no .post suffix or other # nonsense). See numpy issue gh-6431 for an issue caused by an invalid # ver...
3289748
from . import MD5Folder class AfpFolder(MD5Folder): def tree_complete(self): MD5Folder.tree_complete(self) if not self.info_kbin: return # findall needs xpath or it'll only search direct children names = [] geo_names = [] for tag in self.info_kbin.xml_d...
3289753
from hubspot import HubSpot from hubspot.cms.performance import PublicPerformanceApi def test_is_discoverable(): apis = HubSpot().cms.performance assert isinstance(apis.public_performance_api, PublicPerformanceApi)
3289780
import matplotlib.pyplot as plt import numpy as np def graph_function(func, min_x, max_x, num=300): x_ = np.linspace(min_x, max_x, num) y_ = [func(i) for i in x_] plt.plot(x_, y_) plt.show() def graph_function_and_data(func, x_data, y_data, num=300, min_x=None, max_x=None): min_x = min(x_data) ...
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import datetime from typing import Tuple import rlp CLUSTER_PEER_ID_LEN = 2 ** 64 RESERVED_CLUSTER_PEER_ID = 0 def sxor(s1: bytes, s2: bytes) -> bytes: if len(s1) != len(s2): raise ValueError("Cannot sxor strings of different length") return bytes(x ^ y for x, y in zip(s1, s2)) def roundup_16(x: ...
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import asyncio import os from ray.serve.benchmarks.microbenchmark import main as benchmark_main from ray.serve.utils import logger from serve_test_cluster_utils import ( setup_local_single_node_cluster, setup_anyscale_cluster, ) from serve_test_utils import ( save_test_results, ) async def main(): # ...
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import pytest from requests import Response from tests.conftest import create_mock_response from py42.exceptions import Py42InvalidRuleError from py42.exceptions import Py42NotFoundError from py42.services.alertrules import AlertRulesService from py42.services.detectionlists.user_profile import DetectionListUserServic...
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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='dvb', version='1.3', description='query Dresden\'s public tra...
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import h5py from scipy.cluster.hierarchy import ward, dendrogram from matplotlib import pyplot as plt import pandas as pd import numpy as np h5file = h5py.File("96.jl.h5") X = h5file["X"].value # n_samples x n_features assert X.shape[1] == 300 df = pd.read_csv("./countries.csv") labels = np.array(df.iloc[:, 1]) Z...
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from node.behaviors import Adopt from node.behaviors import DefaultInit from node.behaviors import Nodify from node.behaviors import OdictStorage from node.behaviors import Reference from node.behaviors.reference import NodeIndex from node.tests import NodeTestCase from plumber import plumbing from zope.interface.commo...
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from flask_restful import Resource from models.user import UserModel from utils.authorizations import admin_required class UsersPending(Resource): @admin_required def get(self): return {"users": UserModel.find_users_without_assigned_role().json()}
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import logging import numpy as np import pandas as pd import syne_tune.config_space as sp from syne_tune.blackbox_repository import ( load, add_surrogate, BlackboxRepositoryBackend, UserBlackboxBackend, ) from syne_tune.blackbox_repository.blackbox_tabular import BlackboxTabular from syne_tune.backend...
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import os import copy import time import pickle import numpy as np import torch from options import args_parser from datasets import get_dataset if __name__ == '__main__': ############# Common ################### args = args_parser() if args.gpu: torch.cuda.set_device(args.gpu) devic...
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import asyncio from ray import workflow from ray.tests.conftest import * # noqa from ray.workflow import workflow_storage from ray.workflow.storage import get_global_storage import pytest def get_metadata(paths, is_json=True): store = get_global_storage() key = store.make_key(*paths) return asyncio.get...
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import numpy as np import scipy import scipy.cluster from mss import mss from firelight.interfaces.color import RGBColor from firelight.processing.image import colorfulness from firelight.processing.quantizer import Tree # from matplotlib import pyplot as PLT FILTER_LOW_OCCURRENCE_COLORS = True DOWNSAMPLED_SCREENSHOT...