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Python
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"""Tests for adapters covering multiple tasks."""
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Python
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from .info import info, is_downloaded, list_datasets
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Python
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"""Wrappers to deal with BDF files using MNE """
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Python
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"""GIFT-Eval forecasting benchmark entry points."""
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Python
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from .main import * __all__ = [ 'main' ]
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Python
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#from .test_mtrf import * #from .test_helper import *
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Python
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"""Tests for shared panel estimator base classes."""
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Python
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from sns_toolbox.storage_utilities import save, load
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Python
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# empty init to make examples importable (for sphinx)
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from .main import * import smote_cd.dataset_generation
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__all__ = ['jupyter'] from pyRDTP.operations import *
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"""Set the current pypi version""" __version__ = '1.2.0'
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__all__ = ['radius', 'colors'] from pyRDTP.data import *
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from . import main if __name__ == '__main__': main()
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from data_loader.synthetic_dataset import SyntheticDataset
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"""Module: Alignment type checkers and mtype inference."""
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Python
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from .xkcd_rgb import xkcd_rgb from .crayons import crayons
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"""Builtin Datasets. """ from ._datasets import ( haber )
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Python
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from .io import FIG_PATH, OUT_PATH, get_out_dir, glue, savefig
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from .core.normalizers import logcpm_normalizer, cpm_normalizer
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from .loc2seq import download_dataset, remove_dataset_from_disk
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##doesnt do anything, just here to enable importing across files
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from .nonlinear import NotearsNonlinear from .golem import GOLEM
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"""Classification benchmarks for frozen Tabby representations."""
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"""Bycycle class object.""" from .fit import Bycycle, BycycleGroup
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"WordSegment CLI" import sys from . import main main(sys.argv[1:])
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from graynet.cli import main if __name__ == '__main__': main()
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from .core import * from .core import __all__ __version__ = '0.1.5'
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""" Util files for TorchServe """ from . import timeit_decorator
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from .core import * from .core import __all__ __version__ = '0.1.10'
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from .dataset_read_data import DataGenerator as DataGenerator_read_data
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from __future__ import annotations from .losses import * # noqa: F403
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""" This is the current version of TorchServe """ __version__ = '0.0.1'
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import torch def pytest_configure(config): torch.set_num_threads(2)
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import nibabel as nib from bcblib.tools.nifti_utils import load_nifti
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regression_loss = ['mean_square_error', 'mean_absolute_error', 'smooth_L1']
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"""Tests for utilities for checks and conversions for detection outputs."""
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import argparse def main(): pass if __main__ == '__main__': main()
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from __future__ import annotations from .gen_metrics import * # noqa: F403
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from .opt import NeuraLVAR, NeuraLVARCV, link_share_memory, create_shared_mem
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#from .preprocessing import preprocess #from .postprocessing import cell_stats
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""" This is a dummy source fiile """ def handle(): return "Dummy model"
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from .accumulator import Accumulator from .decorators import collect_run_time
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import sys from pathlib import Path sys.path.append(str(Path(__file__).parent))
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# Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0
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# Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0
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from .serializers import * from .serializers import __all__ __version__ = '1.1.5'
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"""Tools to analyze and interpret FFR data """ from .utils import set_log_level
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from .serializers import * from .serializers import __all__ __version__ = '1.1.7'
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""" This is the current version of Model Archiver Tool """ __version__ = '0.1.0'
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from .load_data import DATA_PATH, load_split_connectome, load_semipaired_connectome
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def get_img_shape(coo): w = coo.shape[1] h = coo.shape[0] return [h, w]
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try: from . import main except ImportError: from __init__ import main main()
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"""Utilities to handle checks and conversions between output formats of detectors."""
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r""" This package contains utilities used throughout the whole `vp-suite` package. """
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from .transformer_encoder import TransformerEncoder from .gat_encoder import GATEncoder
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__name__ = "pyRDTP" __all__ = ['geometry', 'molecule', 'geomio'] from pyRDTP import *
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from roiloc import __version__ def test_version(): assert __version__ == "0.4.0"
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from .xkcd_rgb import xkcd_rgb # noqa: F401 from .crayons import crayons # noqa: F401
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"""Short-read gene expression to long-read isoform allocation.""" __version__ = "0.2.0"
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# Codes under this directory is taken and adapted from ELEKTRONN. # http://elektronn.org/
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"""Time-series regression datasets.""" from .tecator import Tecator __all__ = ["Tecator"]
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from .jetnet import JetNet from .toptagging import TopTagging from .qgjets import QuarkGluon
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from __future__ import division, absolute_import, print_function from .numpydoc import setup
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from .Reward_BIC import get_Reward #from .Reward_by_HSIC_multiprocessing import getReward_HSIC
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"""Group feature functions.""" from .features import compute_features_2d, compute_features_3d
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def pv(variables): print([var.__name__ + ' = ' + str(var) for var in variables].join(', '))
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from .experiment import Experiment from .hdf5manager import hdf5manager from .gui import run_gui
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import sys from dataReader import DataReader dataReader = DataReader() dataReader.readAll(sys)
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# roifile/__init__.py from .roifile import __doc__, __all__, __version__ from .roifile import *
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from collections import defaultdict def infinite_dict(): return defaultdict(infinite_dict)
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"""AxialTAD: Axial contrast-based TAD boundary detection from Hi-C data.""" __version__ = "1.0.0"
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from .apply import apply_lorentz_transformation from .boost import boost from .rotation import rot
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import navigome_independent_tests as indep from sys import argv indep.bonferroni_cutoff(argv[1])
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#!/usr/bin/env python from onmt.bin.preprocess import main if __name__ == "__main__": main()
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import sys from waveFileReader import DataReader dataReader = DataReader() dataReader.readAll(sys)
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from ._actor import Actor from ._critic import EpisodicCritic, DenseCritic from ._reward import Reward
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import sys import os sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../')))
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from .dataset import Dataset from .dataprovider import DataProvider from .inference import ForwardScanner
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# tifffile/__init__.py from .tifffile import __doc__, __all__, __version__, main from .tifffile import *
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from pyontutils.utils import setPS1 from nifstd_tools.ontree import server setPS1('ontree') app = server()
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from .decoder import Decoder from .encoder import Encoder from .graphnet import GraphNet from .const import *
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from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), ]
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from .activations import Highlighter from .manifold import Visualizer __all__ = ["Highlighter", "Visualizer"]
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from clifn import Options, Dispatcher, python_identifier, main, __doc__ if __name__ == '__main__': main()
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from ffian import zero_flow_model from ffian import flow_model __all__ = ["zero_flow_model", "flow_model"]
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import utils import main import model import PSO __all__ = [ 'utils', 'main', 'model', 'PSO' ]
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"""Main plotting functions in package.""" from .from_bids import edges_from_bids __all__ = ['edges_from_bids']
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"""Loads NetworkUnit capability classes for NeuronUnit""" from .ProducesSpikeTrains import ProducesSpikeTrains
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# Copyright (c) 2021. Martin Haesemeyer. All rights reserved. # # Licensced under the MIT license. See LICENSE
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from .utils_fast import * from .asyncd import Async, deferred from .asyncd import async_getter # backward compat
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"""Classifier Base.""" __all__ = [ "BaseClassifier", ] from sktime.classification.base import BaseClassifier
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from __future__ import annotations from .coord_transform import * # noqa: F403 from .utils import * # noqa: F403
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# copyright: sktime developers, BSD-3-Clause License (see LICENSE file) """Base classes for time series forests."""
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"""Base class for catalogues.""" __all__ = ["BaseCatalogue"] from sktime.catalogues.base._base import BaseCatalogue
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# from .wide_resnet import * # from .resnet import * # from .preact_resnet2 import * # from .pyramid_net import * # #
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from __future__ import division, absolute_import, print_function import numpydoc.linkcode # No tests at the moment...
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#from tracing import * #from find_cells import * #from depth import * #from celldetect3d import * #from idisco import *
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from ._lddmm import lddmm_register, lddmm_transform_image, lddmm_transform_points from ._lddmm_utilities import resample
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#from tracing import * #from find_cells import * #from depth import * #from celldetect3d import * #from idisco import *