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4fde1649760d9253521d6f6d076eda6daca0f87d5c151861ee4fa1e0eb1cce7f
Python
216
11
"""test_em.py""" import impyute as impy from impyute.ops.testing import return_na_check SHAPE = (5, 5) def test_em_(test_data): data = test_data(SHAPE) imputed = impy.em(data) return_na_check(imputed)
54d1b309531f5d6655ba8c6aeeeb3e93f6368ad775a7a72f208622e860773ab1
Python
216
8
# from brainways.utils.setup import BrainwaysSetup # def test_setup(): # BrainwaysSetup( # atlas_names=["whs_sd_rat_39um", "allen_mouse_25um"], # progress_callback=lambda x: None, # ).run()
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Python
216
8
"""Import all submodules of admet_ai.""" __version__ = "2.0.1" from admet_ai.admet_model import ADMETModel from admet_ai.admet_predict import admet_predict __all__ = ["ADMETModel", "admet_predict", "__version__"]
2f8defde9c530d8eb9f99cd91b7739a16033148e48f225a8bb7b5a9a059e27ce
Python
217
5
# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree.
5f1ff58e9acc561f69f196d87f1a0754cf0d29a98fab4094f4e932905b929f15
Python
217
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('AdvProp_efficientnet-b8') assert model.identifier == 'AdvProp_efficientnet-b8'
8f0ea29eed68942d4f98448d32d1d954af82866d06aae546e4b76998e1be18dc
Python
217
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('AdvProp_efficientnet-b2') assert model.identifier == 'AdvProp_efficientnet-b2'
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Python
217
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('AdvProp_efficientnet-b4') assert model.identifier == 'AdvProp_efficientnet-b4'
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Python
217
8
"""test_buck_iterative.py""" import impyute as impy from impyute.ops.testing import return_na_check def test_buck_iter(buck_test_data): imputed = impy.buck_iterative(buck_test_data) return_na_check(imputed)
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Python
217
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('AdvProp_efficientnet-b7') assert model.identifier == 'AdvProp_efficientnet-b7'
21c7f98dc5d9bd650e6e8e6db273a2427f6c78f46f609f02352c1d6f5558e0be
Python
218
8
from pathlib import Path from brainways.utils.io_utils.readers.qupath_reader import QupathReader def test_qupath_reader(test_image_path: Path): reader = QupathReader(test_image_path) reader.get_image_data()
44ca9707836a9bb04e5c3c020aef14e4bc8928fe627290760d70295432be59d8
Python
218
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitl14_lc_res336') assert model.identifier == 'dinov2_vitl14_lc_res336'
a2ac4cfba99b43d7ad591656d3f0b8c9ee5cd388cda4d34c4548a0a3b4ae1267
Python
218
4
from GEASO.alignment.coarse_to_fine import coarse_to_fine_alignment from GEASO.alignment.data_interpolate import interpolate_displacement_field __all__ = ["coarse_to_fine_alignment", "interpolate_displacement_field"]
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Python
218
14
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Created on Tue Apr 18 15:18:10 2017 @author: shahidm """ from os.path import realpath, join, abspath, dirname # defaults SCRIPT_PATH = dirname(realpath(__file__))
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Python
219
8
# This file is part of connectome-manipulator. # # SPDX-License-Identifier: Apache-2.0 # Copyright (c) 2024 Blue Brain Project/EPFL """connectome_manipulator.""" from connectome_manipulator.version import __version__
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Python
219
5
from .MLP_mod_application import create_mlp from .MLP_mod_application import create_base_trans from .MLP_mod_application import scale_data_teil from .MLP_mod_application import run_valid2_parallel from .openAI import *
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Python
219
15
#!/usr/bin/env python """ Print the number of bases in a nib file. usage: %prog nib_file """ import sys from bx.seq import nib as seq_nib with open(sys.argv[1]) as f: nib = seq_nib.NibFile(f) print(nib.length)
524fe3b2cd15ad4ef80f4f2c3d2a5cd4a7d3ff9ca0b6be531a88f96f97ac85ba
Python
219
2
print ("Some of the content in this tutorial may be outdated, however it is an amazing tutorial nonetheless: https://github.com/Justin1904/CMU-MultimodalSDK-Tutorials") print ("Special thanks to Zhun Liu @ justin1904")
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Python
219
5
from .base_distance import BaseDistance from .cosine_similarity import CosineSimilarity from .dot_product_similarity import DotProductSimilarity from .lp_distance import LpDistance from .snr_distance import SNRDistance
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Python
219
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_4_no_mapping') assert model.identifier == 'evresnet_50_4_no_mapping'
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Python
219
10
import torch.nn as nn class View(nn.Module): def __init__(self, size): super(View, self).__init__() self.size = size def forward(self, tensor): return tensor.view(self.size)
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Python
220
4
import warnings warnings.filterwarnings("ignore", message="numpy.dtype size changed") warnings.filterwarnings("ignore", message="numpy.ufunc size changed") warnings.filterwarnings("ignore", message="DeprecationWarning")
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Python
220
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('convnext_base_fb_in1k') assert model.identifier == 'convnext_base_fb_in1k'
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Python
220
8
# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved import os is_enabled = False if os.getenv("USE_PERFLIB", "1") == "1": # print("Enabled the use of perflib.\n", end="") is_enabled = True
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Python
220
6
def test_qtwebchannel(): """Test the qtpy.QtWebChannel namespace""" from qtpy import QtWebChannel assert QtWebChannel.QWebChannel is not None assert QtWebChannel.QWebChannelAbstractTransport is not None
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Python
221
5
from .trainer import ModelTrainer from .distillation_trainer import ModelDistiller from .finetune_trainer import ModelFinetuner from .reinforcement_trainer import ReinforcementTrainer from .swaf_trainer import SWAFTrainer
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Python
221
7
from dtiplayground.dmri.common.tools.base import ExternalToolWrapper class ITKTransformTools(ExternalToolWrapper): def __init__(self,binary_path= None, **kwargs): super().__init__(binary_path, **kwargs)
5f0b78fc8a07e575fded364917a215ebb440df00d90c789d9a3d801fee6f1223
Python
221
6
# -*- coding: utf-8 -*- # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree.
b509a91bcc151ec6a35a465d983e9c8c6a21278922eb88925d04fc258fddc9da
Python
221
7
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .predict import OBBPredictor from .train import OBBTrainer from .val import OBBValidator __all__ = "OBBPredictor", "OBBTrainer", "OBBValidator"
cdfe4d86b69d2156d8391753d784ef473b6bb86ef3c4ced5ef9ff1747fbdd771
Python
221
9
from .. import __version__ from ..log_cfg import logger, unconfigure_logging, enable_logging from . import test from . import enrich from . import fit from . import stats from . import utils from .. import pkg_constants
dab0678676efc7a68787edb3af8f7135f2d55fe4f472f336b45a5edcd80cf367
Python
222
8
from PyInstaller.utils.hooks import collect_data_files, logger datas = collect_data_files("PyMca5.PyMcaData") datas += [ (src, datas[0][1]) for src, des in collect_data_files("fisx") if src.endswith(".dat") ]
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Python
223
9
from PyInstaller.utils.hooks import logger, get_module_file_attribute import os def pre_safe_import_module(psim_api): import PyMca5.PyMca as PyMca for p in PyMca.__path__: psim_api.append_package_path(p)
76653394d0488f7974cd3ca56d42958495a3dcba15d529d568b9789bcac07c97
Python
223
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('antialiased-rnext101_32x8d') assert model.identifier == 'antialiased-rnext101_32x8d'
04c7f1377318e2c4f368fdbaa8ca01c92ded327945c157fb802acd6bb2d59681
Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_09') assert model.identifier == 'alexnet_training_seed_09'
05879d647c72debbed290c3380e01fcda4ca29607ac89c5a19cd923d341b3c75
Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_03') assert model.identifier == 'alexnet_training_seed_03'
1d57aa2acc8e3bb6481662200b0060523375da86f4cc1a838e9a9b14f0e1cac0
Python
224
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_resnet50_robust_V4') assert model.identifier == 'compact_resnet50_robust_V4'
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Python
224
8
from tests.utils import pytest_importorskip def test_qtpdfwidgets(): """Test the qtpy.QtPdfWidgets namespace""" QtPdfWidgets = pytest_importorskip("qtpy.QtPdfWidgets") assert QtPdfWidgets.QPdfView is not None
2e684600c63378a328063d27e61e29da69546e606daefb40236441e1aab2e085
Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_06') assert model.identifier == 'alexnet_training_seed_06'
377da21bf10697d7768a8f9d1db33708213b1abbf7db86260b8d204214496aaf
Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_10') assert model.identifier == 'alexnet_training_seed_10'
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_04') assert model.identifier == 'alexnet_training_seed_04'
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Python
224
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_resnet50_robust_IT') assert model.identifier == 'compact_resnet50_robust_IT'
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_08') assert model.identifier == 'alexnet_training_seed_08'
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Python
224
7
""" Support for dealing with (genome scale) sequence alignments. See `core` for the abstract alignment classes and `maf`, `axt`, and `lav` for readers and writers in various formats. """ from bx.align.core import * # noqa
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_05') assert model.identifier == 'alexnet_training_seed_05'
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_07') assert model.identifier == 'alexnet_training_seed_07'
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_02') assert model.identifier == 'alexnet_training_seed_02'
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Python
224
5
from PyInstaller.utils.hooks import collect_dynamic_libs # The hidden import is necessary for SciPy 1.0.1+. hiddenimports = ["scipy._lib.messagestream"] binaries = [(src, ".") for src, des in collect_dynamic_libs("scipy")]
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Python
224
9
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('alexnet_training_seed_01') assert model.identifier == 'alexnet_training_seed_01'
17834442ab5c54a1718fdec387bae49f656edc91b811afe7c6aac107ef4fd6f7
Python
225
7
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .model import RTDETR from .predict import RTDETRPredictor from .val import RTDETRValidator __all__ = "RTDETR", "RTDETRPredictor", "RTDETRValidator"
3a4ed24976d734349948c00d12c1c615ed040a5603e361021c5cf5a87b4f5afc
Python
225
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('abl_light_evresnet_50_457_0') assert model.identifier == 'abl_light_evresnet_50_457_0'
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Python
225
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveyspokenvisual_congruent', train=False)
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Python
225
5
# flake8: noqa from deepreg.model.backbone.global_net import GlobalNet from deepreg.model.backbone.interface import Backbone from deepreg.model.backbone.local_net import LocalNet from deepreg.model.backbone.u_net import UNet
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Python
225
21
snn_time_window = 2 snn_leakage_factor = 0.2 snn_fire_thresh = 0.5 snn_half_beta = 0.5 EPOCH = 200 MILESTONES = [60, 120, 160] Resnet_Use_BN = True CIFAR_USE_SIZE_32 = True CIFAR_USE_BN = False ncu_profile = False
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Python
226
9
""" Impyute specific error messages """ class BadInputError(Exception): "Error thrown when input args don't match spec" pass class BadOutputError(Exception): "Error thrown when outputs don't match spec" pass
098fd7f89fc41c77ca8b18b48d8b0fee10f7a6a2179f6f5f4c6304741152813d
Python
227
8
import datajoint as dj from . import common from distutils.version import StrictVersion assert StrictVersion(dj.__version__) >= StrictVersion('0.2.5') schema = dj.schema('common_psy', locals()) schema.spawn_missing_classes()
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Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('cvt_cvt-13-384-in1k_4_LucyV4') assert model.identifier == 'cvt_cvt-13-384-in1k_4_LucyV4'
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Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('cvt_cvt-21-384-in1k_4_LucyV4') assert model.identifier == 'cvt_cvt-21-384-in1k_4_LucyV4'
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Python
227
8
# -*- coding: utf-8 -*- from . import corpus, data, field, fn, metric from .embedding import Embedding from .vocab import Vocab __all__ = ['Corpus', 'Embedding', 'Vocab', 'corpus', 'data', 'field', 'fn', 'metric']
83f5d3c4561432ff056a0996464f9d4f0e04e96669e655706c121553bebc6a2b
Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('cvt_cvt-13-224-in1k_4_LucyV4') assert model.identifier == 'cvt_cvt-13-224-in1k_4_LucyV4'
c47267960739ffef8fe88d552c77ecf748deba164b3199c9016675d362b97c2e
Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('cvt_cvt-21-224-in1k_4_LucyV4') assert model.identifier == 'cvt_cvt-21-224-in1k_4_LucyV4'
ccdc651835347ae7208df055e24e45e3a3e6dd5ac4ff4943e85230dcad610532
Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('abl_pcells_evresnet_50_457_0') assert model.identifier == 'abl_pcells_evresnet_50_457_0'
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Python
227
7
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('fixres_resnext101_32x48d_wsl') assert model.identifier == 'fixres_resnext101_32x48d_wsl'
ef67e396e2c29fc54a535e8db9ad7f8b9dd37ce3e67e36656f4bca383435c31b
Python
227
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('abl_mcells_evresnet_50_457_0') assert model.identifier == 'abl_mcells_evresnet_50_457_0'
f06a6132f9606934ad933e61995d32119ec45ba25359ba956a1e86a9c74cff49
Python
227
9
# Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT import pytest CACHE = (pytest.param(True, id="cache", marks=pytest.mark.cache),) FILE_SYSTEM = (pytest.param(False),) STORAGE_METHODS = CACHE + FILE_SYSTEM
f1249ce147914d04c948ae18cccd5cda127bc4aaa2366f344fd3d97692a1b1fd
Python
227
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveyspokenvisual_incongruent', train=False)
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Python
227
7
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .predict import PosePredictor from .train import PoseTrainer from .val import PoseValidator __all__ = "PosePredictor", "PoseTrainer", "PoseValidator"
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Python
228
13
from abc import ABC, abstractmethod from typing import Any class N4BiasCorrector(ABC): @abstractmethod def correct( self, input_img_path: Any, output_img_path: Any, ) -> None: pass
cb949ad381741526b85b3a6dc948674f443c56b9c1f92b47e860dd6f117bbc45
Python
228
8
""" SQL utilities for PRSedm — includes helper functions for locating/downloading the variants.db file used for diabetes PRS scoring. """ from .get_dm_sql import get_snp_db, get_dm_sql __all__ = ["get_snp_db", "get_dm_sql"]
0e3ea8ec63422426ab3acb275feaa519bbc43a7d3a69b821fbea8e46743b3b84
Python
229
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('custom_model_cv_18_dagger_408') assert model.identifier == 'custom_model_cv_18_dagger_408'
ab6b0373a5bbc849fad66251267469e25594358e5e4b6937e5ff3e411e8c100c
Python
229
21
# -*- coding: utf-8 -*- def test_get_sh_order_and_fullness(): # toDO pass def test_sh_basis(): # toDO pass def test_get_maximas(): # toDO pass def test_get_sphere_neighbours(): # toDO pass
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from brainscore_core.supported_data_standards.brainio.assemblies import DataAssembly from brainscore_core import Score class Ceiling: def __call__(self, assembly: DataAssembly) -> Score: raise NotImplementedError()
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitl14_reg_lc_featread') assert model.identifier == 'dinov2_vitl14_reg_lc_featread'
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from dataclasses import dataclass from pathlib import Path from typing import Union import dask.array import numpy as np @dataclass class ImageEntry: image: Union[np.ndarray, dask.array.Array] path: Path scene: int
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""" HarveST: A Graph Neural Network for Spatial Transcriptomics Clustering """ from .core import Harvest __version__ = "1.0.0" __author__ = "Junning" __email__ = "786951979@qq.com" __all__ = ["Harvest", "SpatialGeneDiscovery"]
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"""Run from a checkout without installing the package.""" import sys from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parents[1])) from openplant.training import main if __name__ == "__main__": main()
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Python
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .model import FastSAM from .predict import FastSAMPredictor from .val import FastSAMValidator __all__ = "FastSAM", "FastSAMPredictor", "FastSAMValidator"
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Python
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# -*- coding: utf-8 -*- """ Analysis and statistics tools not in standard python packages. """ #:copyright: Copyright 2015 by Christoph Kirst, The Rockefeller University, New York City #:license: GNU, see LICENSE.txt for details.
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Python
231
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('abl_contrast_evresnet_50_457_0') assert model.identifier == 'abl_contrast_evresnet_50_457_0'
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Python
231
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('deit3_base_patch16_224_fb_in1k') assert model.identifier == 'deit3_base_patch16_224_fb_in1k'
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Python
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('convnext_base_fb_in22k_ft_in1k') assert model.identifier == 'convnext_base_fb_in22k_ft_in1k'
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Python
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# -*- coding: utf-8 -*- # @Author : LG from PyQt5 import QtWidgets class RightButtonMenu(QtWidgets.QMenu): def __init__(self, mainwindow): super(RightButtonMenu, self).__init__() self.mainwindow = mainwindow
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"""ChemGraph UI Package. This package contains the Streamlit web application for ChemGraph. The CLI has been moved to ``chemgraph.cli``. """ try: from chemgraph import __version__ except Exception: __version__ = "unknown"
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Python
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#! /usr/bin/env python3 # -*- coding: utf-8 -*- """ Synonym for scil_NODDI_priors """ from scilpy.cli.scil_NODDI_priors import main as noddi_priors_main def main(): noddi_priors_main() if __name__ == "__main__": main()
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Python
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .predict import DepthPredictor from .train import DepthTrainer from .val import DepthValidator __all__ = "DepthPredictor", "DepthTrainer", "DepthValidator"
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Python
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"""Run from a checkout without installing the package.""" import sys from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parents[1])) from openplant.evaluation import main if __name__ == "__main__": main()
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Python
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from config.config import settings ROOT = settings['root'] DATA_DIR = settings['data_dir'] MODEL_DIR = settings['model_dir'] OUTPUT_DIR = settings['output_dir'] FIGURE_DIR = settings['figure_dir'] SPLIT_DIR = settings['split_dir']
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Python
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""" SMART: Spatial multi-omic aggregation using graph neural networks and metric learning """ __version__ = "0.1.1" import smart.build_graph import smart.layer import smart.MNN import smart.model import smart.train import smart.utils
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Python
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"""# Basic example A basic example using magicgui. """ from magicgui import magicgui @magicgui def example(x: int, y="hi"): """Basic example function.""" return x, y example.changed.connect(print) example.show(run=True)
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Python
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('convnext_large_in22k_supervised') assert model.identifier == 'convnext_large_in22k_supervised'
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Python
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#!/usr/bin/env python """ Read a file from stdin, split each line and write fields one per line to stdout. TODO: is this really that useful? """ import sys for line in sys.stdin: for field in line.split(): print(field)
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from brainscore_vision import benchmark_registry from .benchmark import ToliasCadena2017PLS, ToliasCadena2017Mask benchmark_registry['Cadena2017-pls'] = ToliasCadena2017PLS benchmark_registry['Cadena2017-mask'] = ToliasCadena2017Mask
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('Hojin_Jang_ResNet50_Standard') assert model.identifier == 'Hojin_Jang_ResNet50_Standard'
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Python
237
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from pydantic import BaseModel from model.topic import TopicModel from container import Container from model.base_dao import BaseDao class TopicDto(BaseModel): id: str topicNum: int lastIndex: int evaluation: TopicModel
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Python
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import matplotlib.pyplot as plt import numpy as np from typing import Union def equidistant(cmap: Union[str, object] = 'tab20c', k: int = 20) -> np.ndarray: ''' ''' return plt.get_cmap(cmap)(np.linspace(0, 1, k))[:,0:3]
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Python
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from .analysis import (compute_proportions, fit_psychometric, PsychometricRegression, cumulative_gaussian, weibull)
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Python
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# Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT from datetime import timedelta GITHUB_STAR_PROMPT_COOLDOWN = timedelta(days=30) GITHUB_STAR_PROMPT_POLICY = "cvat.apps.growth.policies.EnabledGitHubStarPromptPolicy"
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Python
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('Hojin_Jang_ResNet50_Weak_blur') assert model.identifier == 'Hojin_Jang_ResNet50_Weak_blur'
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Python
238
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import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('convnext_tiny_imagenet1k_HAND') assert model.identifier == 'convnext_tiny_imagenet1k_HAND'
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Python
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"""test_random_imputation.py""" import impyute as impy from impyute.ops.testing import return_na_check SHAPE = (3, 3) def test_random_(test_data): data = test_data(SHAPE) imputed = impy.random(data) return_na_check(imputed)
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""" eTSC Data Package Data loading and processing modules """ from .dataset import MRIDataset, get_dataloader, load_nifti_ras, resize_volume __all__ = [ 'MRIDataset', 'get_dataloader', 'load_nifti_ras', 'resize_volume', ]
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Python
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from os.path import join, dirname from subprocess import call from sys import exit, argv def main(): exe_path = join(dirname(__file__), "../bin/dynamont-NT") exit(call([exe_path] + argv[1:])) if __name__ == "__main__": main()