Loading pkgs/development/python-modules/tensorflow-datasets/default.nix +10 −0 Original line number Diff line number Diff line Loading @@ -93,6 +93,16 @@ buildPythonPackage (finalAttrs: { "elif field.label == field.LABEL_REPEATED:" \ "elif hasattr(field_value, 'extend'):" '' # mlcroissant 1.1.0 requires leaf fields to define `source` or `value` + '' substituteInPlace tensorflow_datasets/core/utils/croissant_utils_test.py \ --replace-fail \ "references=mlc.Source(field='splits/name')," \ "references=mlc.Source(field='splits/name'), source=mlc.Source(field='splits/name')," \ --replace-fail \ "references=mlc.Source(field='labels/label')," \ "references=mlc.Source(field='labels/label'), source=mlc.Source(field='labels/label')," '' # TypeError: only 0-dimensional arrays can be converted to Python scalars + '' substituteInPlace tensorflow_datasets/datasets/smallnorb/smallnorb_dataset_builder.py \ Loading Loading
pkgs/development/python-modules/tensorflow-datasets/default.nix +10 −0 Original line number Diff line number Diff line Loading @@ -93,6 +93,16 @@ buildPythonPackage (finalAttrs: { "elif field.label == field.LABEL_REPEATED:" \ "elif hasattr(field_value, 'extend'):" '' # mlcroissant 1.1.0 requires leaf fields to define `source` or `value` + '' substituteInPlace tensorflow_datasets/core/utils/croissant_utils_test.py \ --replace-fail \ "references=mlc.Source(field='splits/name')," \ "references=mlc.Source(field='splits/name'), source=mlc.Source(field='splits/name')," \ --replace-fail \ "references=mlc.Source(field='labels/label')," \ "references=mlc.Source(field='labels/label'), source=mlc.Source(field='labels/label')," '' # TypeError: only 0-dimensional arrays can be converted to Python scalars + '' substituteInPlace tensorflow_datasets/datasets/smallnorb/smallnorb_dataset_builder.py \ Loading