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chore: Prep branch for HETA 1.3.0 release #671

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Merged
olivermeyer merged 1 commit into from
Jun 9, 2026
+17 −17
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chore: Prep branch for HETA 1.3.0 release #671

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34 changes: 17 additions & 17 deletions tests/constants_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,34 +73,34 @@
# Note: defined here rather than inside each match arm to avoid SonarCloud flagging the
# nearly-identical blocks as duplicated code (the 3% duplication threshold).
SPOT_0_EXPECTED_RESULT_FILES = [
("tissue_qc_segmentation_map_image.tiff", 1645652, 10),
("tissue_qc_geojson_polygons.json", 101150, 10),
("tissue_segmentation_geojson_polygons.json", 327625, 10),
("readout_generation_slide_readouts.csv", 303585, 10),
("readout_generation_cell_readouts.csv", 1660865, 10),
("cell_classification_geojson_polygons.json", 6117357, 10),
("tissue_segmentation_segmentation_map_image.tiff", 2858496, 10),
("tissue_segmentation_csv_class_information.csv", 452, 10),
("tissue_qc_csv_class_information.csv", 285, 10),
("tissue_qc_geojson_polygons.json", 101150, 10),
("tissue_qc_parquet_polygons.parquet", 39435, 10),
("tissue_qc_segmentation_map_image.tiff", 1645652, 10),
("tissue_segmentation_csv_class_information.csv", 452, 10),
("tissue_segmentation_geojson_polygons.json", 327625, 10),
("tissue_segmentation_parquet_polygons.parquet", 117509, 10),
("tissue_segmentation_segmentation_map_image.tiff", 2858496, 10),
("cell_classification_geojson_polygons.json", 6117357, 10),
("cell_classification_parquet_polygons.parquet", 1985592, 10),
("readout_generation_cell_readouts.csv", 1660865, 10),
("readout_generation_slide_readouts.csv", 303585, 10),
]
SPOT_0_EXPECTED_CELLS_CLASSIFIED = (39798, 10)

SPOT_1_EXPECTED_RESULT_FILES = [
("tissue_qc_segmentation_map_image.tiff", 1288632, 10),
("tissue_qc_geojson_polygons.json", 75281, 10),
("tissue_segmentation_geojson_polygons.json", 152301, 10),
("readout_generation_slide_readouts.csv", 299361, 10),
("readout_generation_cell_readouts.csv", 464838, 10),
("cell_classification_geojson_polygons.json", 1726813, 10),
("tissue_segmentation_segmentation_map_image.tiff", 1783376, 10),
("tissue_segmentation_csv_class_information.csv", 446, 10),
("tissue_qc_csv_class_information.csv", 290, 10),
("tissue_qc_geojson_polygons.json", 75281, 10),
("tissue_qc_parquet_polygons.parquet", 29087, 10),
("tissue_qc_segmentation_map_image.tiff", 1288632, 10),
("tissue_segmentation_csv_class_information.csv", 446, 10),
("tissue_segmentation_geojson_polygons.json", 152301, 10),
("tissue_segmentation_parquet_polygons.parquet", 56563, 10),
("tissue_segmentation_segmentation_map_image.tiff", 1783376, 10),
("cell_classification_geojson_polygons.json", 1726813, 10),
("cell_classification_parquet_polygons.parquet", 562536, 10),
("readout_generation_cell_readouts.csv", 464838, 10),
("readout_generation_slide_readouts.csv", 299361, 10),
]

match os.getenv("AIGNOSTICS_PLATFORM_ENVIRONMENT", "production"):
Expand All @@ -124,7 +124,7 @@
TEST_APPLICATION_VERSION = "1.0.0"

HETA_APPLICATION_ID = "he-tme"
HETA_APPLICATION_VERSION = "1.2.0"
HETA_APPLICATION_VERSION = "1.3.0-rc.1"
TEST_APPLICATION_VERSION_USE_LATEST_FALLBACK_SKIP = True
Comment on lines 124 to 128

PIPELINE_GPU_TYPE = "L4"
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