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import sys sys.path.append('..') import cellrefiner help(cellrefiner)
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# Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT
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from .skip_neck import SkipNeck from .hahi34 import HAHIHeteroNeckV34
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from .manifold import Visualizer from .activations import Highlighter
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__version__ = "0.1.0" __author__ = "Electrochemical AI Research Team"
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import os haarcascades = os.path.join(os.path.dirname(__file__), "")
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""" .. module:: ogo.cli :synopsis: Command line interface code """
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from . import main_impl if __name__ == '__main__': main_impl.main()
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from .causal import CausalInferencer from .block import BlockInferencer
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# -*- coding: utf-8 -*- """ Created on Sat Apr 29 17:50:00 2017 """
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# -*- coding: utf-8 -*- from .model import Model __all__ = ['Model']
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from .base import ActivationWrapper from .pytorch import PytorchWrapper
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from .reader_factory import create_reader from .img_extensions import *
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"""CLI entry-point scripts for the artifact identification pipeline."""
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# Copyright (C) 2023 Intel Corporation # # SPDX-License-Identifier: MIT
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# Copyright (C) 2022 Intel Corporation # # SPDX-License-Identifier: MIT
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# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved
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from .linear import LinearMultiModelRunner from .nonlinearities import *
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"""A package that contains the tests for the ViRelAy web application."""
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# Cython variant sub-package — see model_cython.py for the public API.
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from .shared_sparsity_selection import SharedSparsityConfounderSelection
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from .data_loader import DataPreprocessor __all__ = ["DataPreprocessor"]
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from .nbfr import Model, Models from .simulation import Neuron, Simulation
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# flake8: noqa import deepreg.model.backbone import deepreg.model.network
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from .resnet import ResNet from .depthformer_swin import DepthFormerSwin
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import datajoint as dj schema = dj.schema('pipeline_aod_monet', locals())
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import os model_name = 'Carotis_1' os.system('./run.out ' + model_name)
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"""CAT-NAP: Calcium Transient Network Analysis Pipeline (suite2p data)."""
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from .featurization import * from .splitters import * from .loader import *
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from .performer import PerformerAttention __all__ = ['PerformerAttention']
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from .video import Video from .image import Image from .base import Stimulus
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# from .segment_old import segment_widget from .segment import SegmentWidget
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""" Tools for working with strings over interger alphabets efficiently. """
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"""A package that contains unit tests for the :py:mod:`corelay` package."""
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import logging logger = logging.getLogger('') logger.setLevel(logging.INFO)
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# Copyright (C) 2021-2022 Intel Corporation # # SPDX-License-Identifier: MIT
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from .generic import MeshTorchLayer, MeshVerticalLayer from .layers import *
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# Copyright (C) 2018-2022 Intel Corporation # # SPDX-License-Identifier: MIT
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"""Version information for artifact_identification.""" __version__ = "1.0.0"
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from .base import BaseDepther from .encoder_decoder import DepthEncoderDecoder
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# -*- coding: utf-8 -*- def subdivide_streamlines_at_voxel_faces(): pass
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# flake8: noqa from .tao_ow import TAO_OW from .youtube_vis import YouTubeVIS
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""" .. module:: ogo.util :synopsis: Utility functions for common tasks """
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names = {27: 'Motorcortex', 28: 'Hippocampus', 29: 'Isocortex', 30: 'Putamen'}
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""" .. module:: ogo.calib :synopsis: Functions for calibration CT data """
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# from .poolformer import * from .inceptionnext import * from .convnext import *
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# -*- coding: utf-8 -*- """Various workflows for basic fMRI data processing."""
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# -*- coding: utf-8 -*- """Processing routines for high-resolution fMRI data."""
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"""Minimal analysis utilities for REM-gating indices and MÖBIUS model plots."""
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from ._cell_shape import plot_cell_shape, plot_contact_signal, plot_cell_element
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# -*- coding: utf-8 -*- pad = '<pad>' unk = '<unk>' bos = '<bos>' eos = '<eos>'
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from .metrics import cross_covariance from .metrics import cross_covariance_score
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from pathlib import Path mode_scene = Path(__file__).parent / "mode_scene.scene"
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from .defacer import Defacer from .quickshear.quickshear import QuickshearDefacer
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# flake8: noqa from . import datasets, metrics, utils from .eval import Evaluator
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# -*- coding: utf-8 -*- """Segmentation routines for high-resolution fMRI data."""
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# -*- coding: utf-8 -*- """Registration routines for high-resolution fMRI data."""
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""" Support for the UCSC "Big Binary Indexed" file formats (bigWig and bigBed) """
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# -*- coding: utf-8 -*- """Preprocessing routines for high-resolution fMRI data."""
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# -*- coding: utf-8 -*- """miscellaneous routines for high-resolution fMRI data."""
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from .pipeline import Pipeline from .utils import load_neural_data, manual_curation
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from .data import AnalogNASBench __version__ = '0.1.0' __all__ = ['NASBenchAnalog']
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from .countnigra import main, filter_overlaps __all__ = ['main', 'filter_overlaps']
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def main(): print("Hello from cats-net!") if __name__ == "__main__": main()
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import numpy as np MASK_DTYPE = np.uint8 SEG_DTYPE = np.int16 DATA_DTYPE = np.single
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# fmt: off # flake8: noqa """Datasets.""" from .coco import COCO from .tao import TAO
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from .version import version as __version__ # noqa from .nsd_mapdata import * #noqa
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"""A sub-package that contains unit tests for the :py:mod:`corelay.io` sub-package."""
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""" Imputations for cross-sectional and time-series data. """ __all__ = ["cs", "ts"]
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# -*- coding: utf-8 -*- # @Author : LG __author__ = "yatengLG" __version__ = "1.5.2"
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from utils.progressbar import * from utils.logger import * from utils.snapshot import *
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from .alleles import * from .exprref import * from .gwas import * from .ldref import *
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import dtiplayground.dmri.common.module as module DTIPrepModule = module.DTIPrepModule
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from .doubletdetection import BoostClassifier, load_mtx, load_10x_h5 from . import plot
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from . import iniparse from . import patchlib from . import timer from . import plotting
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from diffxpy.enrichment.enrich import RefSets from diffxpy.enrichment.enrich import test
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from .plot import * from .tracksplot import * from .hotspots import * from .pl3d import *
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from .bbbc039 import * from .bbbc041 import * from .generic import * from .synth import *
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from .unseeded import solve_unseeded from .convert import read_input, read_from_graph_only
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from .output import setup_logging setup_logging() # Set up logging to stderr and file.
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# -*- coding: utf-8 -*- """Python package for for analysis of high-resolution fMRI data."""
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P={'B': -0.26268660809250016, 'E': -3.14e+100, 'M': -3.14e+100, 'S': -1.4652633398537678}
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from ._version import get_versions __version__ = get_versions()['version'] del get_versions
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"""A sub-package that contains unit tests for the :py:mod:`corelay.pipeline` sub-package."""
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from ._utils import * from ._data import * from ._exception import * from ._features import *
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from enum import Enum class DatasetScale(Enum): LITE = 10 MEDIAN = 60 FULL = 119
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"""A sub-package that contains unit tests for the :py:mod:`corelay.processor` sub-package."""
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import ngs_tools as ngs logger = ngs.logging.Logger(__name__) ngs.logging.set_logger(logger)
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"""MEA-NAP: MEA Network Analysis Pipeline — Python implementation.""" __version__ = "0.1.0"
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__version__ = 'Spa3D-1.0' from Spa3D import * from util import * from calculate_adj_3D import *
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# from .registration_old import registration_widget from .registration import RegistrationWidget
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import os LOG_PATH = os.path.abspath(os.path.dirname(__file__) + os.sep + '..' + os.sep + 'log')
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"""Test module with an optional dependency that may be missing.""" class ExampleClass: pass
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# The hidden import is necessary for PyWavelets 0.5.2+. hiddenimports = ["pywt._extensions._cwt"]
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"""OpenPlant benchmark preparation, training, and evaluation utilities.""" __version__ = "1.0.0"
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from .patchmix import PatchMixLoss from .patchmix_cl import PatchMixConLoss from .mcl import MetaCL
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from .lit_perceiver import TopDownPerceiver from .perceiver_model import ConditionedPerceiverConfig
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#!/usr/bin/env python2 # -*- coding: utf-8 -*- __version__ = '0.0.1' __author__ = 'LauraKateYoung'
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import datajoint as dj from . import rf schema = dj.schema('pipeline_structural_stacks', locals())
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from .convenience import get_collection, get_cluster from .construct import reconstruct_from_folder