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fix ugly json formatting
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  • testdata/datasource/zarr/ome_zarr/simple_0.4

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Lines changed: 232 additions & 1 deletion
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{"metadata": {".zgroup": {"zarr_format": 2}, ".zattrs": {"omero": {"channels": [{"color": "0000FF", "window": {"min": 0, "max": 65535, "start": 0, "end": 1000}, "label": "channelA"}, {"color": "00FF00", "window": {"min": 0, "max": 65535, "start": 100, "end": 5000}, "label": "channelB"}]}, "multiscales": [{"axes": [{"name": "y", "type": "space", "unit": "nanometer"}, {"name": "x", "type": "space", "unit": "nanometer"}], "datasets": [{"path": "scale0/image", "coordinateTransformations": [{"scale": [4, 30], "type": "scale"}, {"translation": [0.0, 0.0], "type": "translation"}]}, {"path": "scale1/image", "coordinateTransformations": [{"scale": [8, 60], "type": "scale"}, {"translation": [2.0, 15.0], "type": "translation"}]}, {"path": "scale2/image", "coordinateTransformations": [{"scale": [16, 120], "type": "scale"}, {"translation": [6.0, 45.0], "type": "translation"}]}], "name": "image", "version": "0.4", "type": "itkwasm_gaussian", "metadata": {"description": "Smoothed with a discrete gaussian filter to generate a scale space, ideal for intensity images. ITK-Wasm implementation is extremely portable and SIMD accelerated.", "method": "itkwasm_downsample.downsample", "version": "1.8.1"}, "@type": "ngff:Image"}]}, "scale0/.zattrs": {"_ARRAY_DIMENSIONS": ["y", "x"]}, "scale0/.zgroup": {"zarr_format": 2, "consolidated_metadata": {"metadata": {}, "must_understand": false, "kind": "inline"}}, "scale1/.zattrs": {"_ARRAY_DIMENSIONS": ["y", "x"]}, "scale1/.zgroup": {"zarr_format": 2, "consolidated_metadata": {"metadata": {}, "must_understand": false, "kind": "inline"}}, "scale2/.zattrs": {"_ARRAY_DIMENSIONS": ["y", "x"]}, "scale2/.zgroup": {"zarr_format": 2, "consolidated_metadata": {"metadata": {}, "must_understand": false, "kind": "inline"}}, "scale0/image/.zattrs": {}, "scale0/image/.zarray": {"shape": [10, 10], "chunks": [10, 10], "dtype": "<u2", "fill_value": null, "order": "C", "filters": null, "dimension_separator": "/", "compressor": {"id": "blosc", "cname": "lz4", "clevel": 5, "shuffle": -1, "blocksize": 0}, "zarr_format": 2}, "scale1/image/.zattrs": {}, "scale1/image/.zarray": {"shape": [5, 5], "chunks": [5, 5], "dtype": "<u2", "fill_value": null, "order": "C", "filters": null, "dimension_separator": "/", "compressor": {"id": "blosc", "cname": "lz4", "clevel": 5, "shuffle": -1, "blocksize": 0}, "zarr_format": 2}, "scale2/image/.zattrs": {}, "scale2/image/.zarray": {"shape": [2, 2], "chunks": [2, 2], "dtype": "<u2", "fill_value": null, "order": "C", "filters": null, "dimension_separator": "/", "compressor": {"id": "blosc", "cname": "lz4", "clevel": 5, "shuffle": -1, "blocksize": 0}, "zarr_format": 2}}, "zarr_consolidated_format": 1}
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{
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"metadata": {
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".zgroup": {
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"zarr_format": 2
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},
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".zattrs": {
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"omero": {
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"channels": [
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{
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"color": "0000FF",
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"window": {
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"min": 0,
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"max": 65535,
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"start": 0,
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"end": 1000
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},
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"label": "channelA"
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},
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{
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"color": "00FF00",
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"window": {
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"min": 0,
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"max": 65535,
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"start": 100,
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"end": 5000
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},
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"label": "channelB"
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}
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]
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},
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"multiscales": [
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{
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"axes": [
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{
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"name": "y",
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"type": "space",
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"unit": "nanometer"
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},
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{
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"name": "x",
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"type": "space",
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"unit": "nanometer"
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}
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],
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"datasets": [
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{
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"path": "scale0/image",
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"coordinateTransformations": [
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{
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"scale": [
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4,
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30
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],
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"type": "scale"
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},
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{
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"translation": [
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0.0,
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0.0
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],
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"type": "translation"
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}
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]
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},
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{
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"path": "scale1/image",
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"coordinateTransformations": [
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{
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"scale": [
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8,
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60
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],
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"type": "scale"
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},
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{
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"translation": [
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2.0,
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15.0
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],
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"type": "translation"
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}
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]
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},
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{
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"path": "scale2/image",
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"coordinateTransformations": [
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{
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"scale": [
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16,
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120
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],
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"type": "scale"
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},
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{
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"translation": [
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6.0,
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45.0
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],
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"type": "translation"
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}
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]
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}
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],
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"name": "image",
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"version": "0.4",
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"type": "itkwasm_gaussian",
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"metadata": {
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"description": "Smoothed with a discrete gaussian filter to generate a scale space, ideal for intensity images. ITK-Wasm implementation is extremely portable and SIMD accelerated.",
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"method": "itkwasm_downsample.downsample",
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"version": "1.8.1"
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},
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"@type": "ngff:Image"
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}
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]
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},
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"scale0/.zattrs": {
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"_ARRAY_DIMENSIONS": [
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"y",
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"x"
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]
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},
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"scale0/.zgroup": {
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"zarr_format": 2,
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"consolidated_metadata": {
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"metadata": {},
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"must_understand": false,
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"kind": "inline"
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}
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},
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"scale1/.zattrs": {
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"_ARRAY_DIMENSIONS": [
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"y",
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"x"
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]
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},
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"scale1/.zgroup": {
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"zarr_format": 2,
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"consolidated_metadata": {
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"metadata": {},
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"must_understand": false,
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"kind": "inline"
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}
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},
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"scale2/.zattrs": {
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"_ARRAY_DIMENSIONS": [
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"y",
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"x"
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]
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},
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"scale2/.zgroup": {
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"zarr_format": 2,
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"consolidated_metadata": {
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"metadata": {},
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"must_understand": false,
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"kind": "inline"
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}
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},
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"scale0/image/.zattrs": {},
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"scale0/image/.zarray": {
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"shape": [
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10,
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10
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],
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"chunks": [
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10,
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10
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],
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"dtype": "<u2",
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"fill_value": null,
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"order": "C",
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"filters": null,
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"dimension_separator": "/",
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"compressor": {
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"id": "blosc",
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"cname": "lz4",
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"clevel": 5,
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"shuffle": -1,
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"blocksize": 0
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},
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"zarr_format": 2
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},
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"scale1/image/.zattrs": {},
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"scale1/image/.zarray": {
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"shape": [
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5,
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5
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],
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"chunks": [
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5,
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5
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],
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"dtype": "<u2",
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"fill_value": null,
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"order": "C",
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"filters": null,
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"dimension_separator": "/",
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"compressor": {
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"id": "blosc",
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"cname": "lz4",
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"clevel": 5,
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"shuffle": -1,
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"blocksize": 0
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},
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"zarr_format": 2
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},
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"scale2/image/.zattrs": {},
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"scale2/image/.zarray": {
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"shape": [
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2,
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2
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],
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"chunks": [
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2,
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2
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],
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"dtype": "<u2",
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"fill_value": null,
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"order": "C",
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"filters": null,
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"dimension_separator": "/",
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"compressor": {
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"id": "blosc",
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"cname": "lz4",
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"clevel": 5,
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"shuffle": -1,
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"blocksize": 0
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},
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"zarr_format": 2
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}
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},
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"zarr_consolidated_format": 1
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}

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