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import os # from sklearn.metrics import log_loss, roc_auc_score import time from librerank.utils import * from librerank.reranker import * from librerank.rl_reranker import * def eval(model, data, l2_reg, batch_size, isrank, metric_scope, _print=False): preds = [] # labels = [] losses = [] data_size...
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import numpy from chainer import functions from chainer import testing @testing.parameterize(*testing.product_dict( [ {'shape': (), 'pad_width': 1, 'mode': 'constant'}, {'shape': (2, 3), 'pad_width': 0, 'mode': 'constant'}, {'shape': (2, 3), 'pad_width': 1, 'mode': 'constant'}, {'...
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import pytest import pandas as pd from iguanas.rule_selection._base_filter import _BaseFilter from iguanas.rules import Rules @pytest.fixture def _create_data(): X_rules = pd.DataFrame({ 'A': [1, 0, 1], 'B': [1, 1, 1] }) return X_rules def test_transform(_create_data): X_rules = _cre...
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import param import matplotlib import matplotlib.pyplot as plt import numpy as np # from gym_film.utils.convert_reward import to_single_reward # from matplotlib.patches import Patch # Uses the following methods/attributes from env: # - O, R (observation and reward) # - jets_power # - system_state # - reward, ...
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import pytest from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from models import Base from config import create_new_sqla from helpers import (get_video_douban_ids, get_celebrity_douban_ids, get_animation_bilibili_ids) test_database_url = 'sqlite://...
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import logging import random from flask import request from flask_restplus import Resource, Namespace, fields from ..managers import copy_job_manager from .. import tasks from ..exceptions import HTTP_EXCEPTION api = Namespace('copy-jobs', description='CopyJob related operations') dto = api.model('copy-job', { ...
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import sys src = sys.argv[1] trg = sys.argv[2] with open(src, "rb") as f: contents = f.read() with open(trg, "wb") as f: f.write(contents)
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from django.db import models from datetime import datetime class TestModel(models.Model): date = models.DateField(default=datetime.today())
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import numpy as np import pandas as pd import streamlit as st import altair as alt from matplotlib import pyplot as plt import config, dataset, main, utils # Matplotlib params plt.style.use("seaborn") plt.rcParams["figure.dpi"] = 300 def get_altair_hist_plot(series, name, bin_min, bin_max, bin_step): """ P...
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from __future__ import print_function import networkx as nx from semnav.lib.categories import room2category, behavior_id2category from semnav.lib.sem_graph import Node, Edge class SubGraph(object): """Sub-graph of SemGraph used for graph networks. """ def __init__(self, sem_graph, cur_position, n_neigh...
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import os import re import bpy import logging import json from . import bpy_helper from . import ifc_helper from . import io from . import exporter def create(project, ifc_type=None, group_name='', prefix='', **kwargs): i = 0 if ifc_type: for elem in ifc_helper.elements_by_type(project, ifc_type): ...
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import re from datetime import datetime from pathlib import Path from subprocess import Popen, check_output from tempfile import TemporaryDirectory from django.core.files.base import ContentFile from django.db import transaction from django.utils.translation import ugettext_lazy as _ from django_rq import job from tqd...
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import tensorflow as tf tf.enable_eager_execution() import numpy as np import pandas as pd import os # import argparse def read_tf(tfrecord_path): """ read in the tensors :param tfrecord_path: the path to the tensor :return: the image and the label """ raw_image_dataset = tf.data.TFRecordDatas...
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import threading from functools import wraps from celery.utils.log import get_task_logger logger = get_task_logger(__name__) _kwd_mark = object() _data_lock = threading.Lock() def cache(f): """ Decorator that caches the function's return value, so cached RDDs, DataFrames, and other objects can be shared...
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import datetime print(1,datetime.datetime.now()) import apscheduler print(2,datetime.datetime.now()) import gevent print(3,datetime.datetime.now()) import eventlet print(4,datetime.datetime.now()) import asyncio print(5,datetime.datetime.now()) import threading print(6,datetime.datetime.now()) import pymongo pri...
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import numpy as np from pyriemann.estimation import Covariances from pyriemann.spatialfilters import CSP from sklearn.feature_selection import SelectKBest, mutual_info_classif from sklearn.model_selection import GridSearchCV from sklearn.pipeline import make_pipeline from sklearn.svm import SVC from moabb.pipelines.ut...
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import torch from torch import nn from torch.nn import functional as F from typing import Dict, Optional from utils.misc_utils import combine_first_ax from slowfast.models.video_model_builder import SlowFast, ResNet from fairseq.models.transformer import ( TransformerEncoder, TransformerDecoder, # EncoderO...
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from bltk.langtools.taggertools import adjective_suffix, noun_suffix, verb_suffix, pronouns from bltk.langtools.pos_tagger import PosTagger class UgraStemmer: def __init__(self): self.pos_tagger = PosTagger() self.pronoun_values = list(pronouns.values()) self.pronoun_keys = list(pronouns.k...
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import FWCore.ParameterSet.Config as cms # Trigger Primitive Producer from SimCalorimetry.EcalTrigPrimProducers.ecalTriggerPrimitiveDigis_readDBOffline_cfi import *
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from games.abstract_game import AbstractGame import subprocess from constants import * import json import platform class Mario(AbstractGame): """ Represents a single Mario game. """ def __init__(self, model, game_batch_size, seed, level=None, vis_on=False, use_visualization_tool=False, test=False): ...
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from moto.core.exceptions import RESTError class InvalidParameterValueError(RESTError): def __init__(self, message): super(InvalidParameterValueError, self).__init__( "InvalidParameterValue", message ) class ResourceNotFoundException(RESTError): def __init__(self, message): ...
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def dfs(at, graph, visited): if visited[at]: return visited[at] = True print(at, end=" -> ") neighbours = graph[at] for next in neighbours: dfs(next, graph, visited) if __name__ == "__main__": n = int(input("No. of Nodes : ")) graph = [] for i in range(n): graph...
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from ltypes import i32 def test_list_i32(): a: list[i32] = [1] a.append(2) a.append(3) a.append(4) a.append(5) print(a[1]) assert a[1] == 2 or a[1] == 3 test_list_i32()
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import os from pathlib import Path import time class Source_file_generator: """ Library to easily generate proximal functions """ number_of_spaces_in_tab=4 def __init__(self,location,function_type): """ Parameters --------- location : target location functio...
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from conftest import rvo_output, rvo_err from click.testing import CliRunner from rvo import cli def test_delete_yes(): options = ['delete', '569e5eed6815b47ce7bdb583', '--yes'] output = ["Removed"] rvo_output(options,output) def test_delete_input_yes(): runner = CliRunner() result = runner.invoke...
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from __future__ import print_function import numpy as np import matplotlib.pyplot as plt from sklearn.datasets import load_digits from sklearn.decomposition import PCA # For reproducibility np.random.seed(1000) if __name__ == '__main__': # Load MNIST digits digits = load_digits() # Show some random dig...
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from hivemind.client.expert import RemoteExpert from hivemind.client.moe import RemoteMixtureOfExperts from hivemind.client.switch_moe import RemoteSwitchMixtureOfExperts from hivemind.client.averaging import DecentralizedAverager from hivemind.client.averaging.training import TrainingAverager
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import c4d from c4d import documents from . import Utilities as util from .CustomIterators import ObjectIterator from .Utilities import dazToC4Dutils from .IkMax import applyDazIK, ikmaxUtils from .AllSceneToZero import AllSceneToZero dazName = "Object_" class DazToC4D: def figureFixBrute(self): """Har...
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import json from enum import Enum from test.util import TestCase from OpenCast.app.command.video import CreateVideo from OpenCast.app.tool.json_encoder import ( EnhancedJSONEncoder, EventEncoder, ModelEncoder, ) from OpenCast.domain.event.video import VideoCreated from OpenCast.domain.model.player import P...
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import subprocess, re, sys,os, os.path, shutil, time, glob ROOT="/home/blackie/dump/KDABViewer" BUILDROOT=ROOT+"/build" ITERATIONS=5 FOREAL=1 CCACHE="/usr/lib/ccache" def runCommand(cmd): print(" ".join(cmd)) if FOREAL: process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) ...
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import os, math import errno import stat from py.builtin import sorted from pypy.tool import udir from pypy.rpython.test.test_rbuiltin import BaseTestRbuiltin from pypy.rpython.module.test.test_ll_time import BaseTestTime as llBaseTestTime class BaseTestBuiltin(BaseTestRbuiltin): def test_os_flags(self): ...
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import numpy import json import os import sys import time import sh_common if len(sys.argv) != 2: print("import_vgg7.py JSONPATH") print(" i.e. import_vgg7.py /home/you/Documents/External/waifu2x/models/vgg_7/art/scale2.0x_model.json") sys.exit(1) try: os.mkdir("model-kipper") except: pass data_l...
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import time from oeqa.oetest import oeRuntimeTest from oeqa.utils.helper import shell_cmd_timeout class RebootTest(oeRuntimeTest): '''Reboot target device @class RebootTest ''' def setUp(self): '''pre condition check @fn setUp @param self @return ''' self...
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import pytest from django.contrib.auth import get_user_model from django.core.management import call_command from parkings.models import ParkingArea, PaymentZone, PermitArea from ..management.commands import ( import_parking_areas, import_payment_zones, import_permit_areas) from .request_mocking import mocked_req...
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import json import pytest import requests from mjolnir.kafka.msearch_daemon import Daemon, FlexibleInterval, MetricMonitor, StreamingEMA def test_consume_nothing(mocker): mocker.patch('kafka.KafkaProducer') # Test it doesn't blow up Daemon(None).consume([]) def test_consume_end_sigil(mocker, monkeypat...
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import carla import os import sys import cv2 import json import numpy as np CARLA_ROOT = os.getenv("CARLA_ROOT") if CARLA_ROOT is None: raise ValueError("CARLA_ROOT must be defined.") scriptdir = CARLA_ROOT + "PythonAPI/" sys.path.append(scriptdir) from examples.synchronous_mode import CarlaSyncMode scriptdir = ...
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from decimal import Decimal from unittest import TestCase import copy import unittest import os import sys from importlib import reload from mock import Mock, call from mockextras import stub sys.path = [os.path.abspath(os.path.join('..', os.pardir))] + sys.path from digesters.charges.charge_card_digester import Char...
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from bokeh.models import ActionTool class ParallelResetTool(ActionTool): """ Tool to reset only plot axes and not selections """ __implementation__ = 'parallel_reset.ts'
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from django.db.models.signals import post_save from .models import Demand, DemandHub from profiles.models import ProfileHub from hubs.models import HubGeolocation from utils.utils import coordinates_calculation, distance_calculation def demand_created_or_updated(sender, update_fields, **kwargs): instance = kwarg...
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from litex.soc.integration.soc_core import mem_decoder from litex.soc.integration.soc_sdram import * from liteeth.common import convert_ip from liteeth.core import LiteEthUDPIPCore from liteeth.frontend.etherbone import LiteEthEtherbone from liteeth.mac import LiteEthMAC from liteeth.phy import LiteEthPHY from target...
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from html.parser import HTMLParser # create a subclass and override the handler methods class MyHTMLParser(HTMLParser): def handle_starttag(self, tag, attrs): print("Start :", tag) for li in attrs: print('->', li[0], '>', li[1]) def handle_endtag(self, tag): ...
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import json import os import sys from glob import glob from tasks.utils import * TASK = sys.argv[1] MODEL = sys.argv[2] METHOD = sys.argv[3] SPECIAL_METRICS = { 'cb' : 'f1', 'mrpc' : 'f1', 'cola' : 'matthews_correlation', 'stsb' : 'combined_score' } METRIC = "accuracy" if TASK in SPECIAL_METRICS: ...
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from ..errors.validation import Validation from . import element as element_module, section_element from .element_base import ElementBase from .missing import missing_empty from .missing import missing_field from .missing import missing_fieldset from .missing import missing_list from .missing import missing_section fro...
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from .session import ClientSession from .endpoints import ( LiveEndpointsMixin, VREndpointsMixin, RoomEndpointsMixin, UserEndpointsMixin, OtherEndpointsMixin ) from json import JSONDecodeError import time from showroom.api.utils import get_csrf_token from requests.exceptions import HTTPError import ...
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from os import path from django.core.management.base import BaseCommand from uwsgiconf.sysinit import get_config, TYPE_SYSTEMD from uwsgiconf.utils import Finder from ...toolbox import SectionMutator class Command(BaseCommand): help = 'Generates configuration files for Systemd, Upstart, etc.' def add_argu...
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import numpy as np import tensorflow as tf from tensorflow.python.ops import math_ops from tensorflow.python.ops import functional_ops from tensorflow.python.ops import array_ops from tensorflow.python.framework import ops from gpflow import settings float_type = settings.float_type jitter_level = settings.jitter cla...
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import numpy as np class ReplayMemory(object): def __init__(self, max_size, obs_dim, act_dim): self.max_size = int(max_size) self.obs = np.zeros((max_size, ) + obs_dim, dtype='float32') self.action = np.zeros((max_size, act_dim), dtype='float32') self.reward = np.zeros((max_size,)...
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import json import os from pathlib import Path import logging def read_json(loc : str): ''' :param loc: path to file :return: yaml converted to a dictionary ''' with open(loc) as f: data = json.load(f) return data def write_json(data, loc): with open(loc, 'w') as json_file: ...
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import re inName = "./char_order.txt" inLines = file(inName, 'r').readlines() charDict = dict() puncDict = dict() for line in inLines: seq = line.split() if re.match('[a-zA-Z\.\,\'\"\-]', seq[1]): count = int(seq[2][1:]) if charDict.has_key(seq[1]): charDict[seq[1]] += count ...
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from EasyLogin import EasyLogin a=EasyLogin() def get_question(qid): global a html=a.get("http://gre.kmf.com/question/{qid}.html".format(qid=qid), cache=True) soup = a.b question_type = soup.find("input",{"id":"GlobeQUESTIONNAME"})["value"] question_from = soup.find("span",{"class":"gray"})...
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import os os.environ.setdefault("DJANGO_SETTINGS_MODULE", "kompassi.settings") from django.core.wsgi import get_wsgi_application application = get_wsgi_application()
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import os # hydra import hydra from omegaconf import DictConfig, OmegaConf # pytorch-lightning related imports from pytorch_lightning import Trainer import pytorch_lightning.loggers as pl_loggers from pytorch_lightning.callbacks import LearningRateMonitor # own modules from dataloader import PL_DataModule from metho...
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import _optimize def _optimize_fold_load_constants(nn_layers): """ Fold load constants that interact through 'add', 'multiply', 'activation', 'slice', 'reduce' or 'unary' layers. In other words, evaluate any sub-graph that involves only 'load_constant', 'multiply', 'add', 'activation', 'slice', 'reduce' or...
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from nesi.devices.softbox.api import db class ServicePort(db.Model): id = db.Column(db.Integer(), primary_key=True) name = db.Column(db.String(64)) box_id = db.Column(db.Integer, db.ForeignKey('box.id')) admin_state = db.Column(db.Enum('0', '1', '2'), default='0') # Alcatel: 0 => down, 1 => up, 2 => ...
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import json from pathlib import Path import aiohttp import pytest from gentools import sendreturn import ns import snug live = pytest.config.getoption('--live') CRED_PATH = Path('~/.snug/ns.json').expanduser() auth = json.loads(CRED_PATH.read_bytes()) @pytest.fixture(scope='module') async def exec(): async wit...
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import base64 import binascii import decimal import json import os import platform import sys import urllib.parse as urlparse from http.client import HTTP_PORT, HTTPConnection DEFAULT_USER_AGENT = "AuthServiceProxy/0.1" DEFAULT_HTTP_TIMEOUT = 30 # (un)hexlify to/from unicode, needed for Python3 unhexlify = binascii....
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from bson import json_util slide_list_file = '/data08/shared/lehhou/necrosis_segmentation_workingdir/slide_list.txt'; # read from file with open(slide_list_file) as f: content = f.readlines(); #lines = content.split('\n'); print content[-1][-2]; #print (content[-1][-3]);
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class Base(object): def __secret(self): print("don't tell") def public(self): self.__secret() class Derived(Base): def __secret(self): print("never ever") if __name__ == "__main__": print("Base class members:", dir(Base)) print("Derived class members:", dir(Derived)) ...
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from kubernetes_manager.models import ( KubernetesBase, KubernetesConfigMap, KubernetesContainer, KubernetesDeployment, KubernetesIngress, KubernetesJob, KubernetesMetadataObjBase, KubernetesNamespace, KubernetesNetworkingBase, KubernetesPodTemplate, KubernetesService, Ku...
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import click from pprint import pprint from .decorators import onlineChain, unlockWallet from .main import main @main.command() @click.pass_context @onlineChain @click.argument("members", nargs=-1) @click.option("--account", help="Account that takes this action", type=str) @unlockWallet def approvecommittee(ctx, memb...
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from itertools import islice from re import compile from snowddl.blueprint import TableBlueprint, TableColumn, DataType, BaseDataType from snowddl.resolver.abc_schema_object_resolver import AbstractSchemaObjectResolver, ResolveResult, ObjectType cluster_by_syntax_re = compile(r'^(\w+)?\((.*)\)$') class TableResolve...
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from aqt import gui_hooks from aqt.utils import showWarning opened = False def startup(): global opened if opened: warning_text = "\n".join(( "Pokemanki does not support opening a second profile in one session.", "Please close Anki and reopen it again to the desired profile."...
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import grpc import pytest from uuid import uuid4 from multiprocessing import Event from google.protobuf import json_format from google.protobuf.empty_pb2 import Empty from common.cryptographer import Cryptographer from teos.watcher import Watcher from teos.responder import Responder from teos.gatekeeper import UserI...
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import cv2 from skimage.feature import hog from sklearn.decomposition import PCA class FeatureSelection: def __init__(self): print("\n----------------------------------------------------------") print("--------------P-R-O-C-E-S-S-I-N-G---D-A-T-A---------------") print("-------------------...
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from tulip import hybrid import polytope import scipy.io """ Contains functions that will read a .mat file exported by the MATLAB function mpt2python and import it to either a PwaSysDyn or a LtiSysDyn. <NAME>, June 2014 """ def load(filename): data = scipy.io.loadmat(filename) islti = bool(data['islti'][0][...
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from ._base import DanubeCloudCommand, CommandError class Command(DanubeCloudCommand): help = 'Initialize the virtual environments.' def handle(self, *args, **options): raise CommandError('Use ctl.sh directly')
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import FWCore.ParameterSet.Config as cms import EventFilter.RPCRawToDigi.rpcUnpackingModule_cfi rpcunpacker = EventFilter.RPCRawToDigi.rpcUnpackingModule_cfi.rpcUnpackingModule.clone() rpcunpacker.InputLabel = cms.InputTag("rawDataCollector") rpcunpacker.doSynchro = cms.bool(True)
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from luigi.contrib.s3 import S3Target from ob_pipelines.batch import BatchTask, LoggingTaskWrapper from ob_pipelines.config import cfg from ob_pipelines.entities.sample import Sample from ob_pipelines.pipelines.xenograft.tasks.star_by_species import StarBySpecies class DisambiguateHumanMouse(BatchTask, LoggingTaskWr...
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def test_metadata(system_config) -> None: assert system_config.provider_code == "system" assert system_config._prefix == "TEST" def test_prefixize(system_config) -> None: assert system_config.prefixize("key1") == "TEST_KEY1" assert system_config.unprefixize("TEST_KEY1") == "key1" def test_get_variab...
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from functools import partial from textwrap import dedent from io import StringIO import pytest import pandas.testing as pdtest import numpy import pandas from wqio.utils import misc from wqio.tests import helpers @pytest.fixture def basic_data(): testcsv = """\ Date,A,B,C,D X,1,2,3,4 Y,5,6,7,8 ...
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class NoDataError(Exception): def __init__(self, field, obj, module): message = "Missing field '" + field + "' in the object " + str(obj) + " needed in " + module super(NoDataError, self).__init__(message)
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from absl import logging import os from lib import dataset from libs import settings import tensorflow as tf def generate_tf_record( data_dir, raw_data=False, tfrecord_path="serialized_dataset", num_shards=8): teacher_sett = settings.Settings(use_student_settings=False) student_se...
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from lrabbit_scrapy.spider import LrabbitSpider from lrabbit_scrapy.common_utils.network_helper import RequestSession from lrabbit_scrapy.common_utils.print_log_helper import LogUtils from lrabbit_scrapy.common_utils.all_in_one import FileStore import os from lrabbit_scrapy.common_utils.mysql_helper import MysqlClient ...
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from keyboard_alike import reader class BarCodeReader(reader.Reader): """ This class supports Lindy USB bar code scanner configured to work as a keyboard http://www.lindy.co.uk/accessories-c9/input-devices-c357/barcode-scanners-c360/barcode-scanner-ccd-usb-p1352 """ pass if __name__ == "__main__...
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import requests import json import base64 import redis import os def handle(st): # parse Github event req = json.loads(st) minutes = 1 minutes_val = os.getenv("cache-minutes") if minutes_val != None: minutes = int(minutes_val) loginName = req["sender"]["login"] try: redis...
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from py2neo import authenticate, Graph import os.path import bleach import sys from flask import Flask app = Flask(__name__) def FindSimilarRepositories(InputrepoK): #Sanitize input print("got ......",InputrepoK) sys.stdout.flush() Inputrepo = bleach.clean(InputrepoK).strip() host = os.environ['LOCALNEO4JIPPORT'...
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from graphwar.attack.flip_attacker import FlipAttacker class UntargetedAttacker(FlipAttacker): r"""Base class for adversarial non-targeted attack. Parameters ---------- data : Data PyG-like data denoting the input graph device : str, optional the device of the attack ru...
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import torch import warnings from torch.optim.optimizer import Optimizer, required import math import itertools as it import torch.optim as optim warnings.filterwarnings("once") def get_optimizer(optimizer: str = 'Adam', lookahead: bool = False, model=None, separa...
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import fnmatch import json import logging import os import re from collections import Counter from operator import itemgetter import en_core_web_sm from spacy.matcher import Matcher from gamechangerml.configs.config import DefaultConfig as Config import gamechangerml.src.modelzoo.semantic.term_extract.version_ as v ...
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from a_resnet_training_common_cli import Hyperparameters from stanford_cars_augmentation_cli import AugmentHyperparameters, AugmentCLI def generate_cli_hpo(parser): """Adding Hyperparameters to CLI arguments""" parser.add_argument("--" + Hyperparameters.SCEDULER_RATE.value, dest=Hyperparameters.SCEDULER_RATE....
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class Solution: # @return a tuple, (index1, index2) def twoSum(self, num, target): length = len(num) # use dict: value: index + 1 # since there is only one solution, the right value must not be duplicated dic = {} for i in xrange(0, length): val = num[i] ...
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from .lop_setup import * def test_matrix_1(): A = jnp.ones([4, 4]) op = lop.matrix(A) x = jnp.ones(4) assert_allclose(op.times(x), A @ x) assert_allclose(op.trans(x), A.T @ x) def test_matrix_2(): A = jnp.reshape(jnp.arange(20), (4,5)) op = lop.matrix(A) x = jnp.ones(4) y = jnp.o...
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import os.path import os import sys import math import argparse import time import random from collections import OrderedDict import torch import options.options as option from utils import util from data import create_dataloader, create_dataset from models import create_model from utils.logger import Logger, PrintLo...
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from PIL import Image, ImageDraw img = Image.new("RGB", (100, 100), (88, 88, 88)) draw = ImageDraw.Draw(img) if 0: draw.line((0, 0) + img.size, fill="red") draw.line((0, img.size[1], img.size[0], 0), fill="blue") if 0: draw.point((75, 50), fill="red") draw.rectangle([20, 50, 30, 65], fill="green", outli...
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import numpy as np a1 = np.ones((2, 3), int) print(a1) # [[1 1 1] # [1 1 1]] a2 = np.full((2, 3), 2) print(a2) # [[2 2 2] # [2 2 2]] print(np.block([a1, a2])) # [[1 1 1 2 2 2] # [1 1 1 2 2 2]] print(np.block([[a1], [a2]])) # [[1 1 1] # [1 1 1] # [2 2 2] # [2 2 2]] print(np.block([[a1, a2], [a2, a1]])) # [[1 ...
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from tkinter import * import vote_bot from functools import partial import threading from utils import loadCredentials def start(mail,password,option,delay,url): #print(mail.get(),password.get(),url.get()) process = threading.Thread(target=vote_bot.start_bot,args=(int(option.get()),mail.get(),password.get(),ur...
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import pandas as pd import numpy as np import py_entitymatching as em from .magellan_modified_feature_generation import get_features #Given a CANDIDATE SET and the list of ACTUAL duplicates (duplicates_df), #this function adds the 1/0 labels (column name = GOLD) to the candset dataframe def add_labels_to_candset(dupl...
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from contrib.views import char_count from django.contrib import admin from django.urls import path, re_path from django.views.generic import TemplateView urlpatterns = [ path("admin/", admin.site.urls), path("char_count", char_count, name="char_count"), re_path(".*", TemplateView.as_view(template_name="ind...
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import os from scipy.io import loadmat import h5py import numpy as np from tools.getDistSqrtVar import getDistSqrtVar from tools.getCNNFeature import getCNNFeature from tools.get_ilsvrimdb import readAnnotation as ilsvr_readAnnotation from tools.get_cubimdb import readAnnotation as cub_readAnnotation from tools...
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import tempfile import unittest from pyspark import Row from sourced.ml.models import DocumentFrequencies from sourced.ml.tests import create_spark_for_test from sourced.ml.transformers import Indexer class IndexerTests(unittest.TestCase): def setUp(self): data = [Row(to_index="to_index%d" % i, value=i)...
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class RenderedView(object): def __init__(self, view_file: str, data): self.view_file = view_file self.data = data
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description = 'Email and SMS notifiers' group = 'lowlevel' devices = dict( email = device('nicos.devices.notifiers.Mailer', mailserver = 'mailhost.frm2.tum.de', sender = '<EMAIL>', copies = [ ('<EMAIL>', 'all'), ('<EMAIL>', 'all'), ('<EMAIL>', 'all'), ...
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from . import numpy_ndarray_as def random(size, nulls=False): """Return random xnd.xnd instance of 64 bit floats. """ import xnd import numpy as np r = numpy_ndarray_as.random(size, nulls=nulls) if nulls: xr = xnd.xnd(r.tolist(), dtype='?float64') for i in np.where(np.isnan(r))...
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import unittest from test import support import socket import test_data import time from lxml import etree import uuid import asyncio from common_testing_tools import TCPClient class TCPServiceTests(unittest.TestCase): def setUp(self): """ setup method to establish two sockets. this method is run ...
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from doctest import testmod import unittest from julius import resample, fftconv, lowpass, bands, utils class DocStringTest(unittest.TestCase): def test_resample(self): self.assertEqual(testmod(resample).failed, 0) def test_fftconv(self): self.assertEqual(testmod(fftconv).failed, 0) def...
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from selenium import webdriver from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.chrome.options import Options import time start_time = time.time() options = Options() options.add_argument("--headless") options.add_argument("--disable-gpu") options.add_argument("--disable-extens...
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from tg_bot import bot from app.constants import ( emoji, all_stations, personalization_answer, select_home_station, select_univer_station ) from app import new_functions as nf, db from flask import g import telebot_login from tg_bot.keyboards import stations_keyboard, personalization_keyboard # Personalizati...
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import math try: from ulab import scipy, numpy as np except ImportError: import scipy import numpy as np A = np.array([[3, 0, 2, 6], [2, 1, 0, 1], [1, 0, 1, 4], [1, 2, 1, 8]]) b = np.array([4, 2, 4, 2]) # forward substitution result = scipy.linalg.solve_triangular(A, b, lower=True) ref_result = np.array(...
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from .client import MarathonClient from .models import MarathonResource, MarathonApp, MarathonTask, MarathonConstraint from .exceptions import MarathonError, MarathonHttpError, NotFoundError, InvalidChoiceError from .util import get_log log = get_log()
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class Dictionary(object): def __init__(self): self.my_dict = {} def look(self, key): return self.my_dict.get(key, "Can't find entry for {}".format(key)) def newentry(self, key, value): """ new_entry == PEP8 (forced by Codewars) """ self.my_dict[key] = value