75 lines
1.5 KiB
Nix
75 lines
1.5 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchPypi
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, h5py
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, ipython
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, lxml
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, mung
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, muscima
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, numpy
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, pillow
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, pytestCheckHook
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, scikit-image
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, sphinx-rtd-theme
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, sympy
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, pandas
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, pyhamcrest
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, tqdm
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, twine
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}:
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buildPythonPackage rec {
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pname = "omrdatasettools";
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version = "1.4.0";
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format = "setuptools";
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src = fetchPypi {
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inherit pname version;
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sha256 = "sha256-kUUcbti29uDnSEvCubMAUnptlaZGpEsW2IBGSAGnGyQ=";
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};
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propagatedBuildInputs = [
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pillow
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scikit-image
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h5py
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pyhamcrest
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muscima
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mung
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numpy
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lxml
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tqdm
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twine
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sympy
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sphinx-rtd-theme
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pandas
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ipython
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];
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nativeCheckInputs = [
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pytestCheckHook
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];
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disabledTestPaths = [
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# The download tests require internet access
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"omrdatasettools/tests/test_downloader.py"
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];
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disabledTests = [
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# The download tests require internet access
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"test_download_extract_and_crop_bitmaps"
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"test_download_extract_and_render_all_symbols"
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"test_download_extract_and_draw_bitmaps"
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# Other failures
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"test_render_node_masks_instance_segmentation_of_staff_blobs"
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"test_render_node_masks_instance_segmentation_of_staff_lines"
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"test_render_node_masks_semantic_segmentation_of_nodes"
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];
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meta = with lib; {
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description = "Collection of datasets used for Optical Music Recognition";
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homepage = "https://github.com/apacha/OMR-Datasets";
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changelog = "https://github.com/apacha/OMR-Datasets/blob/${version}/CHANGES.md";
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license = licenses.mit;
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maintainers = with maintainers; [ piegames ];
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};
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}
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