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import asyncio import unittest from .helpers import async_test class AsyncTestCase(unittest.TestCase): ''' AsyncTestCase allows to test asynchoronus function. The usage is the same as :code:`unittest.TestCase`. It works with other test frameworks and runners (eg. `pytest`, `nose`) as well. AsyncTes...
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import numpy as np from util import * def naiveDistanceProfile(tsA, idx, m, tsB = None): """Return the distance profile of query against ts. Use the naive all pairs comparison algorithm. >>> np.round(naiveDistanceProfile(np.array([0.0, 1.0, -1.0, 0.0]), 0, 4, np.array([-1, 1, 0, 0, -1, 1])), 3) array([[ 2...
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import functools from collections import OrderedDict from typing import Any, Callable, Dict, List, Mapping, Sequence, Tuple, Union, cast import torch from ignite.engine import Engine, EventEnum, Events from ignite.handlers.timing import Timer class BasicTimeProfiler: """ BasicTimeProfiler can be used to pro...
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from __future__ import (division) from pomegranate import * from pomegranate.io import DataGenerator from pomegranate.io import DataFrameGenerator from nose.tools import with_setup from nose.tools import assert_almost_equal from nose.tools import assert_equal from nose.tools import assert_not_equal from nose.tools im...
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from typing import Dict, List, cast from py_headless_daw.project.parameter import Parameter, ParameterValueType, ParameterRangeType class HavingParameters: def __init__(self): self._parameters: Dict[str, Parameter] = {} super().__init__() def has_parameter(self, name: str) -> bool: ...
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import os, sys, cdms2, vcs, vcs.testing.regression as regression dataset = cdms2.open(os.path.join(vcs.sample_data,"clt.nc")) data = dataset("clt") canvas = regression.init() isoline = canvas.createisoline() isoline.label="y" texts=[] colors = [] for i in range(10): text = canvas.createtext() text.color = 50 +...
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import sqlite3 import subprocess, datetime from flask import Flask, request, session, g, redirect, url_for, \ abort, render_template, flash from contextlib import closing from tquery import get_latest_record from config import * app = Flask(__name__) app.config.from_object(__name__)...
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import unittest import tests.settings_mock as settings_mock from tests.activity.classes_mock import FakeLogger from workflow.workflow_IngestAcceptedSubmission import workflow_IngestAcceptedSubmission class TestWorkflowIngestAcceptedSubmission(unittest.TestCase): def setUp(self): self.workflow = workflow_I...
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from dataset.baseset import BaseSet import random, cv2 import numpy as np class iNaturalist(BaseSet): def __init__(self, mode='train', cfg=None, transform=None): super(iNaturalist, self).__init__(mode, cfg, transform) random.seed(0) self.class_dict = self._get_class_dict() ...
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from glue.core.data_factories.helpers import has_extension from glue.config import data_factory __all__ = ['tabular_data'] @data_factory(label="ASCII Table", identifier=has_extension('csv txt tsv tbl dat ' 'csv.gz txt.gz tbl.bz ' ...
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import math import pytorch_lightning as pl class LearningRateDecayCallback(pl.Callback): def __init__(self, learning_rate, warmup_tokens=<PASSWORD>, final_tokens=<PASSWORD>, lr_decay=True): super().__init__() self.learning_rate = learning_rate self.tokens = 0 self.final_tokens = f...
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from setuptools import setup setup( name="nmn-iwp", version="0.1", keywords="", packages=["vr", "vr.models"] )
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def test_xrange(judge_command): judge_command( "XRANGE somestream - +", {"command": "XRANGE", "key": "somestream", "stream_id": ["-", "+"]}, ) judge_command( "XRANGE somestream 1526985054069 1526985055069", { "command": "XRANGE", "key": "somestream", ...
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import logging import os import pickle import sys import threading import time from typing import List from Giveme5W1H.extractor.root import path from Giveme5W1H.extractor.tools.util import bytes_2_human_readable class KeyValueCache(object): def __init__(self, cache_path): """ :param cache_path: ...
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import os import sys import torch import yaml from functools import partial sys.path.append('../../../../') from trainers import trainer, frn_train from datasets import dataloaders from models.FRN import FRN args = trainer.train_parser() with open('../../../../config.yml', 'r') as f: temp = yaml.safe_load(f) data...
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import os, inspect currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) parentdir = os.path.dirname(os.path.dirname(currentdir)) os.sys.path.insert(0,parentdir) import math import gym from gym import spaces from gym.utils import seeding import numpy as np import time import pybullet...
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from __future__ import division, print_function __author__ = 'saeedamen' # <NAME> / <EMAIL> # # Copyright 2017 Cuemacro Ltd. - http//www.cuemacro.com / @cuemacro # # See the License for the specific language governing permissions and limitations under the License. # ## Web server components import dash_core_compone...
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import pytest import stk from ...case_data import CaseData @pytest.fixture( scope='session', params=( lambda name: CaseData( molecule=stk.ConstructedMolecule( topology_graph=stk.cof.PeriodicKagome( building_blocks=( stk.BuildingB...
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import torch.utils.data as data import numpy as np from imageio import imread from path import Path import pdb def crawl_folders(folders_list): imgs = [] depth = [] for folder in folders_list: current_imgs = sorted(folder.files('*.jpg')) current_depth = [] fo...
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from flask import Flask from flask_cors import CORS from flask_graphql import GraphQLView from schema import Schema def create_app(**kwargs): app = Flask(__name__) app.debug = True app.add_url_rule( '/graphql', view_func=GraphQLView.as_view('graphql', schema=Schema, **kwargs) ) ret...
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from __future__ import print_function try: from PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * except ImportError: from PySide2.QtWidgets import * from PySide2.QtGui import * from PySide2.QtCore import * import hou from hammer_tools.utils import createAction d...
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import json import multiprocessing as mp import re from argparse import ArgumentParser from enum import Enum, auto import javalang from functools import partial PRED_TOKEN = 'PRED' modifiers = ['public', 'private', 'protected', 'static'] class TargetType(Enum): seq = auto() tree = auto() @staticmethod ...
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import typing from bot.constants import BOT_REPO_URL from discord import Embed from discord.ext import commands from discord.ext.commands.cooldowns import BucketType from . import _issues, _profile, _source class Github(commands.Cog): """ Github Category cog, which contains commands related to github. ...
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from typing import Any, Dict, List, Tuple from pytezos.michelson.forge import forge_array, forge_base58, optimize_timestamp def bump_fitness(fitness: Tuple[str, str]) -> Tuple[str, str]: if len(fitness) == 0: major = 0 minor = 1 else: major = int.from_bytes(bytes.fromhex(fitness[0]), ...
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from __future__ import absolute_import from redis import Redis from rq.decorators import job from kaneda.utils import get_backend backend = get_backend() @job(queue='kaneda', connection=Redis()) def report(name, metric, value, tags, id_): """ RQ job to report metrics to the configured backend in kanedasett...
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dataset_type = 'STVQADATASET' data_root = '/home/datasets/mix_data/iMIX/' feature_path = 'data/datasets/stvqa/defaults/features/' ocr_feature_path = 'data/datasets/stvqa/defaults/ocr_features/' annotation_path = 'data/datasets/stvqa/defaults/annotations/' vocab_path = 'data/datasets/stvqa/defaults/extras/vocabs/' trai...
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import numpy as np import copy import combo.misc import cPickle as pickle from results import history from .. import utility from ...variable import variable from ..call_simulator import call_simulator from ... import predictor from ...gp import predictor as gp_predictor from ...blm import predictor as blm_predictor im...
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from setuptools import setup, find_packages setup( name='Pokedex', version='0.1', zip_safe=False, packages=find_packages(), package_data={ 'pokedex': ['data/csv/*.csv'] }, install_requires=[ 'SQLAlchemy>=1.0,<2.0', 'whoosh>=2.5,<2.7', 'markdown==2.4.1', ...
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import numpy as np import pickle from os.path import exists, realpath import sys import math from topple_data_loader import ToppleData, ToppleDataLoader import transforms3d class ToppleNormalizationInfo(): ''' Structure to hold all the normalization information for a dataset. ''' def __init__(self...
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from bc4py_extension import PyAddress import hashlib def is_address(ck: PyAddress, hrp, ver): """check bech32 format and version""" try: if ck.hrp != hrp: return False if ck.version != ver: return False except ValueError: return False return True def g...
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import modutil mod, __getattr__ = modutil.lazy_import(__name__, ['tests.test_data.A', '.B', '.C as still_C']) def trigger_A(): return mod.A def trigger_B(): return mod.B def trigger_C(): return mod.still_C def trigger_failure(): return mod.does_not_exist
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from marshmallow import Schema, fields from marshmallow.validate import Range, Length from sqlalchemy import Column, Integer, Boolean, DateTime from ..db import Base from ..shared.models import StringTypes # ---- Error-report class ErrorReport(Base): __tablename__ = 'error_report' id = Column(Integer, prim...
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from django.core.exceptions import ValidationError from django.core.validators import validate_email from django.template import Template, TemplateSyntaxError, TemplateDoesNotExist from django.utils.encoding import force_str def validate_email_with_name(value): """ Validate email address. Both "<NAME> <<...
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import os import sys import logging import time import argparse import numpy as np from collections import OrderedDict import scripts.options as option import utils.util as util from data.util import bgr2ycbcr from data import create_dataset, create_dataloader from models import create_model # options parser = argpar...
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from setuptools import setup setup( name="greek-utils", version="0.2", description="various utilities for processing Ancient Greek", license="MIT", url="http://github.com/jtauber/greek-utils", author="<NAME>", author_email="<EMAIL>", packages=["greekutils"], classifiers=[ "D...
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from pyLMS7002M import * print("Searching for QSpark...") try: QSpark = QSpark() except: print("QSpark not found") exit(1) print("\QSpark info:") QSpark.printInfo() # print the QSpark board info # QSpark.LMS7002_Reset() # reset the LMS7002M lms700...
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from django.conf import settings from netaddr import mac_unix, mac_eui48 import importlib import warnings class mac_linux(mac_unix): """MAC format with zero-padded all upper-case hex and colon separated""" word_fmt = '%.2X' def default_dialect(eui_obj=None): # Check to see if a default dialect class has...
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import contextlib import logging import typing from typing import Any, Dict, Tuple import attr from dbnd._core.configuration import get_dbnd_project_config from dbnd._core.constants import ( RESULT_PARAM, DbndTargetOperationStatus, DbndTargetOperationType, TaskRunState, ) from dbnd._core.current impo...
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import nose import angr import logging l = logging.getLogger("angr.tests.test_bindiff") import os test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests') # todo make a better test def test_bindiff_x86_64(): binary_path_1 = os.path.join(test_location, 'x86_64', '...
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import numpy as np import matplotlib.pyplot as plt from scipy import stats from sklearn.linear_model import ARDRegression, LinearRegression # Parameters of the example np.random.seed(0) n_samples, n_features = 100, 100 # Create Gaussian data X = np.random.randn(n_samples, n_features) # Create weights with a precision...
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import datetime as dt import logging from babel import Locale, UnknownLocaleError from babel.dates import format_datetime, format_time, format_date import pytz from tzlocal import get_localzone from . import settings logger = logging.getLogger(__name__) class LocaleHelper: """Helpers for converting date & tim...
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from ._ffi.base import string_types from ._ffi.object import register_object, Object from ._ffi.node import register_node, NodeBase from ._ffi.node import convert_to_node as _convert_to_node from ._ffi.node_generic import _scalar_type_inference from ._ffi.function import Function from ._ffi.function import _init_api, r...
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import numpy as np from unittest import TestCase import numpy.testing as npt from distancematrix.util import diag_indices_of from distancematrix.consumer.distance_matrix import DistanceMatrix class TestContextualMatrixProfile(TestCase): def setUp(self): self.dist_matrix = np.array([ [8.67, 1...
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import torch import torch.nn as nn import os import torch.nn.functional as F class LDS(nn.Module): def __init__(self,): super(LDS, self).__init__() self.pool1 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0) self.pool2 = nn.MaxPool2d(kernel_size=(2, 2), stride=2, padding=0) ...
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import os from conans import ConanFile, tools from conans.errors import ConanInvalidConfiguration class CxxOptsConan(ConanFile): name = "cxxopts" homepage = "https://github.com/jarro2783/cxxopts" url = "https://github.com/conan-io/conan-center-index" description = "Lightweight C++ option parser librar...
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from typing import * import attr from dlms_cosem.hdlc import validators @attr.s(auto_attribs=True) class HdlcAddress: """ A client address shall always be expressed on one byte. To enable addressing more than one logical device within a single physical device and to support the multi-drop configurat...
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from django.contrib import admin from django.contrib.auth.admin import UserAdmin from .models import CustomUser admin.site.register(CustomUser, UserAdmin)
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from grpc._channel import _InactiveRpcError, _MultiThreadedRendezvous from functools import wraps _COMPLEX_PLOTTING_ERROR_MSG = """ Complex fields cannot be plotted. Use operators to get the amplitude or the result at a defined sweeping phase before plotting. """ _FIELD_CONTAINER_PLOTTING_MSG = """" This fields_conta...
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from dataclasses import dataclass from dataclasses import field from time import time from typing import Any from typing import Callable from typing import Dict from typing import List from typing import Optional from typing import Tuple @dataclass class NewUser: """Deals with the commands the user is currently ...
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from __future__ import absolute_import import abc import os import json import glob import shutil from tensorflow.python.estimator import gc from tensorflow.python.estimator import util from tensorflow.python.estimator.canned import metric_keys from tensorflow.python.framework import errors_impl from tensorflow.pytho...
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from __future__ import annotations import typing from ctc import spec from . import timestamp_crud from . import metric_crud from . import analytics_spec async def async_create_payload( *, blocks: typing.Sequence[spec.BlockNumberReference] | None = None, timestamps: typing.Sequence[int] | None = None, ...
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import asyncio import uuid import pytest from aiomisc_pytest.pytest_plugin import TCPProxy import aiormq async def test_simple(amqp_channel: aiormq.Channel): await amqp_channel.basic_qos(prefetch_count=1) assert amqp_channel.number queue = asyncio.Queue() deaclare_ok = await amqp_channel.queue_dec...
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from prompt_toolkit.key_binding.bindings.named_commands import (accept_line, self_insert, backward_delete_char, beginning_of_line) from prompt_toolkit.key_binding.bindings.basic import if_no_repeat from prompt_toolkit.key_binding.bindings.basic import load_basic_bindings from prompt_toolkit.key_binding.bindings.ema...
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from biogeme import * from headers import * from loglikelihood import * from statistics import * from nested import * #import random cons_work= Beta('cons for work', 0,-10,10,0) cons_edu = Beta('cons for education',0,-50,10,0) cons_shopping = Beta('cons for shopping',0,-10,10,0) cons_...
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from spherical_distortion.util import * sample_order = 9 # Input resolution to examine def ang_fov(s): print('Spherical Resolution:', s) for b in range(s): dim = tangent_image_dim(b, s) # Pixel dimension of tangent image corners = tangent_image_corners(b, s) # Corners of each tangent image ...
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import mock import pytest import py_zipkin.storage @pytest.fixture(autouse=True, scope="module") def create_zipkin_attrs(): # The following tests all expect _thread_local.zipkin_attrs to exist: if it # doesn't, mock.patch will fail. py_zipkin.storage.ThreadLocalStack().get() def test_get_zipkin_attrs_r...
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import argparse import os import pickle import numpy as np import matplotlib.pyplot as plt plt.style.use('ggplot') parser = argparse.ArgumentParser(description='PyTorch MNIST Example') parser.add_argument('--mnist', action='store_true', default=False, help='open mnist result') args = parser.parse_a...
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from controller.invoker import ( invoker_cmd_branch_checkout, invoker_cmd_branch_commit, invoker_cmd_branch_create, invoker_cmd_branch_delete, invoker_cmd_branch_list, invoker_cmd_evaluate, invoker_cmd_filter, invoker_cmd_gpu_info, invoker_cmd_inference, invoker_cmd_init, inv...
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from datetime import timedelta from dateutil.relativedelta import relativedelta from django.core.management.base import BaseCommand, CommandError from django.utils import timezone from ...models import Request DURATION_OPTIONS = { 'hours': lambda amount: timezone.now() - timedelta(hours=amount), 'days': lamb...
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from pathlib import Path from testaid.pathlist import PathList def test_testaid_unit_pathlist_roles_blacklist(testvars_roles_blacklist): assert testvars_roles_blacklist is not None def test_testaid_unit_pathlist_roles_whitelist(testvars_roles_whitelist): assert testvars_roles_whitelist is not None def tes...
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def getRoot(config): if not config.parent: return config return getRoot(config.parent) root = getRoot(config) # We only run a small set of tests on Windows for now. # Override the parent directory's "unsupported" decision until we can handle # all of its tests. if root.host_os in ['Windows']: config.unsuppo...
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import pyredner import numpy as np import torch cam = pyredner.Camera(position = torch.tensor([0.0, 0.0, -5.0]), look_at = torch.tensor([0.0, 0.0, 0.0]), up = torch.tensor([0.0, 1.0, 0.0]), fov = torch.tensor([45.0]), # in degree c...
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from goopylib.objects.GraphicsObject import GraphicsObject from goopylib.styles import * class BBox(GraphicsObject): # Internal base class for objects represented by bounding box # (opposite corners) Line segment is a degenerate case. resizing_objects = [] def __init__(self, p1, p2, bounds=None, fi...
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from pylab import * from numpy import * from numpy.linalg import solve from scipy.integrate import odeint from scipy.stats import norm, uniform, beta from scipy.special import jacobi a = 0.0 b = 3.0 theta=1.0 sigma=sqrt(theta/(2*(a+b+2))) tscale = 0.05 invariant_distribution = poly1d( [-1 for x in range(int(a))], ...
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from abc import ABC, abstractmethod from contextlib import contextmanager from uuid import uuid4 import pytest from sqlalchemy import ( delete, select, UniqueConstraint, ) class AbstractBaseTest(ABC): @pytest.fixture def cls_(self): """ Return class under test. Assumptions...
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import pytest from copy import deepcopy from gefest.core.structure.point import Point from gefest.core.structure.polygon import Polygon from gefest.core.structure.structure import Structure from gefest.core.algs.postproc.resolve_errors import * from gefest.core.algs.geom.validation import * # marking length and width...
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from typing import Tuple import torch from torch.autograd import Function import torch.nn as nn from metrics.pointops import pointops_cuda import numpy as np class FurthestSampling(Function): @staticmethod def forward(ctx, xyz, m): """ input: xyz: (b, n, 3) and n > m, m: int32 outpu...
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from django import forms from .models import Application class ApplicationForm(forms.ModelForm): class Meta: model = Application fields = ('resume', 'cover_letter',)
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import sqlite3 con = sqlite3.connect(":memory:") # enable extension loading con.enable_load_extension(True) # Load the fulltext search extension con.execute("select load_extension('./fts3.so')") # alternatively you can load the extension using an API call: # con.load_extension("./fts3.so") # disable extension load...
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class Solution: """ @param s: a string @param t: a string @return: true if they are both one edit distance apart or false """ def isOneEditDistance(self, s, t): # write your code here if s == t: return False if abs(len(s) - len(t)) > 1: return Fal...
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import bpy import random as rnd from collections import Counter import itertools as iter feld_von, feld_bis = -4, 4 spielfeld_von, spielfeld_bis = feld_von-6, feld_bis+6 anz = int((feld_bis-feld_von)**3*.3) spielfeld = {(rnd.randint(feld_von, feld_bis), rnd.randint( feld_von, feld_bis), rnd.randint(feld_von, fe...
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from torch import nn as nn from .base_model import BaseModel from ..nn.conv2d import DenseConv2d from ..nn.linear import DenseLinear __all__ = ["Conv2", "conv2", "Conv4", "conv4"] class Conv2(BaseModel): def __init__(self): super(Conv2, self).__init__() self.features = nn.Sequential(DenseConv2d(...
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import bpy from bpy.app.handlers import persistent bl_info = { "name": "Playback Once", "author": "<NAME>", "version": (1, 0, 0), "blender": (2, 67, 3), "location": "", "description": "Playback once.", "warning": "", "wiki_url": "", "tracker_url": "", "category": "Animation"} @...
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import json from washer.worker.actions import AppendStdout, AppendStderr from washer.worker.actions import CreateNamedLog, AppendToLog from washer.worker.actions import SetProperty from washer.worker.commands import washertask def pipenv_graph2deps(rawgraph): graph = json.loads(rawgraph) def build_entry(dat...
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from bluesky.plans import scan from bluesky.simulators import (print_summary, print_summary_wrapper, summarize_plan, check_limits, plot_raster_path) import pytest from bluesky.plans import grid_scan def test_print_summary(...
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import warnings import pytest from leapp.libraries.actor.systemfacts import get_selinux_status from leapp.models import SELinuxFacts no_selinux = False try: import selinux except ImportError: no_selinux = True warnings.warn( 'Tests which uses `selinux` will be skipped' ' due to library un...
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import re import discord from redbot.core import commands class Covfefe(commands.Cog): """ Convert almost any word into covfefe """ def __init__(self, bot): self.bot = bot async def covfefe(self, x, k="aeiouy])"): """ https://codegolf.stackexchange.com/a/123697 "...
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import os import numpy as np import tensorflow as tf from models_gqa.model import Model from models_gqa.config import build_cfg_from_argparse from util.gqa_train.data_reader import DataReader import json # Load config cfg = build_cfg_from_argparse() # Start session os.environ["CUDA_VISIBLE_DEVICES"] = str(cfg.GPU_ID...
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from cklib.args import get_arg_parser, ArgumentParser from cloudkeeper_plugin_cleanup_aws_loadbalancers import CleanupAWSLoadbalancersPlugin def test_args(): arg_parser = get_arg_parser() CleanupAWSLoadbalancersPlugin.add_args(arg_parser) arg_parser.parse_args() assert ArgumentParser.args.cleanup_aws_...
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from __future__ import annotations import json import logging from contextlib import contextmanager, ExitStack from typing import List, Dict import pandas as pd from lithops.storage import Storage from lithops.storage.utils import CloudObject, StorageNoSuchKeyError from sm.engine.annotation_lithops.build_moldb impor...
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def multiple_replace(text: str, chars_to_mapping: dict): """ This function is used to replace a dictionary of characters inside a text string :param text: :param chars_to_mapping: :return: """ import re pattern = "|".join(map(re.escape, chars_to_mapping.keys())) return re.sub(patter...
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from .torch2onnx import torch2onnx from .onnx2trt import onnx2trt from .torch2trt import torch2trt from .base import load, save
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import pytest from pydantic import ValidationError from overhave.transport import OverhaveS3ManagerSettings class TestS3ManagerSettings: """ Unit tests for :class:`OverhaveS3ManagerSettings`. """ @pytest.mark.parametrize("test_s3_enabled", [False]) def test_disabled(self, test_s3_enabled: bool) -> None:...
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import FWCore.ParameterSet.Config as cms process = cms.Process("LIKELIHOODPDFDBREADER") # process.load("MuonAnalysis.MomentumScaleCalibration.local_CSA08_Y_cff") process.source = cms.Source("EmptySource", numberEventsInRun = cms.untracked.uint32(1), firstRun = cms.untracked.uint32(1) ) process.load("Configur...
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import logging import random from datetime import timedelta from typing import TYPE_CHECKING from duration import to_iso8601 from pyramid.httpexceptions import HTTPBadRequest, HTTPCreated, HTTPNotFound, HTTPOk from weaver import sort from weaver.config import WEAVER_CONFIGURATION_ADES, WEAVER_CONFIGURATION_EMS, get_w...
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import os def get_root_path(): current_path = os.path.abspath(os.path.dirname(__file__)) root_path = os.path.dirname( os.path.dirname(os.path.dirname(os.path.dirname(current_path))) ) return os.path.join(root_path, "xbot") def get_config_path(): config_path = os.path.abspath(os.path.join...
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from django.utils.html import format_html from wagtail.wagtailcore import hooks @hooks.register('insert_editor_js') def enable_source(): return format_html( """ <script> registerHalloPlugin('hallohtml'); </script> """ )
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from buildbot.process.remotecommand import RemoteCommand from buildbot.interfaces import WorkerTooOldError import stat class FileExists(object): """I check a file existence on the worker. I return True if the file with the given name exists, False if the file does not exist or that is a directory. Us...
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import re from curtsies.formatstring import fmtstr, FmtStr from curtsies.termformatconstants import ( FG_COLORS, BG_COLORS, colors as CURTSIES_COLORS, ) from functools import partial from ..lazyre import LazyReCompile COLORS = CURTSIES_COLORS + ("default",) CNAMES = dict(zip("krgybmcwd", COLORS)) # hack...
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from ..imports import * from .. import utils as U from ..core import GenLearner class NodeClassLearner(GenLearner): """ ``` Main class used to tune and train Keras models for node classification Main parameters are: model (Model): A compiled instance of keras.engine.training.Model train_dat...
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def _jpeg_compression(im): assert torch.is_tensor(im) im = ToPILImage()(im) savepath = BytesIO() im.save(savepath, 'JPEG', quality=75) im = Image.open(savepath) im = ToTensor()(im) return im
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import torch import torch.nn as nn import torch.nn.functional as f from prettytable import PrettyTable from c2nl.modules.char_embedding import CharEmbedding from c2nl.modules.embeddings import Embeddings from c2nl.modules.highway import Highway from c2nl.encoders.transformer import TransformerEncoder from c2nl.decoder...
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import csv import datetime import random import os from parsers.parser_base import ParserBase FILE_TIME_EPOCH = datetime.datetime(1601, 1, 1) FILE_TIME_MICROSECOND = 10 def filetime_to_epoch_datetime(file_time): if isinstance(file_time, int): microseconds_since_file_time_epoch = file_time / FILE_TIME_MIC...
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from collections import defaultdict import json import re import time from urllib.parse import urlparse import uuid import boto3 import boto3.exceptions import botocore.exceptions import markus import redis.exceptions import requests import requests.exceptions from sqlalchemy import select import sqlalchemy.exc from ...
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class resampler: def __init__(self): import pandas as pd from sklearn.preprocessing import LabelEncoder from collections import Counter import numpy as np self.bins = 3 self.pd = pd self.LabelEncoder = LabelEncoder self.Counter = Counter ...
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import pytest from httmock import urlmatch, HTTMock from util.config import URLSchemeAndHostname from util.config.validator import ValidatorContext from util.config.validators import ConfigValidationException from util.config.validators.validate_bitbucket_trigger import BitbucketTriggerValidator from test.fixtures i...
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from typing import List, Tuple from omegaconf import DictConfig import torch import torch.nn as nn import torch.nn.functional as F from rlcycle.common.abstract.loss import Loss class DQNLoss(Loss): """Compute double DQN loss""" def __init__(self, hyper_params: DictConfig, use_cuda: bool): Loss.__in...
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from devito.ir import Call from devito.passes.iet.definitions import DataManager from devito.passes.iet.langbase import LangBB __all__ = ['CBB', 'CDataManager'] class CBB(LangBB): mapper = { 'aligned': lambda i: '__attribute__((aligned(%d)))' % i, 'host-alloc': lambda i, j, k: ...
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import os import random from flask import Flask, request, send_from_directory from werkzeug.utils import secure_filename from pianonet.core.pianoroll import Pianoroll from pianonet.model_inspection.performance_from_pianoroll import get_performance_from_pianoroll app = Flask(__name__) base_path = "/app/" # base_pat...
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from robot import __version__ as ROBOT_VERSION import sys import tempfile import textwrap import unittest import shutil import subprocess class PabotOrderingGroupTest(unittest.TestCase): def setUp(self): self.tmpdir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.tmpdir) def ...