[pull] master from tensorflow:master

[pull]

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Created by pull[bot] (v2.0.0-alpha.1)

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Summary by Sourcery

Tests:

• Adds tests for multi-dimensional array conversions in the Croissant dataset builder, covering cases with known shapes, unknown shapes, and specific data types like IMAGE_OBJECT.

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Reviewer's Guide by Sourcery

This pull request introduces a new function, array_datatype_converter, to handle the conversion of array datatypes to TFDS features (Sequence or Tensor). It also adds new unit tests to verify the behavior of the datatype_converter function with multi-dimensional arrays.

Updated class diagram for datatype converters

classDiagram
    class datatype_converter {
        +field: mlc.Field
        +int_dtype: type_utils.TfdsDType
        +float_dtype: type_utils.TfdsDType
        +binary_dtype: type_utils.TfdsDType
        +Returns: feature_lib.FeatureConnector | None
    }
    class array_datatype_converter {
        +feature: type_utils.TfdsDType | feature_lib.FeatureConnector | None
        +field: mlc.Field
        +int_dtype: type_utils.TfdsDType
        +float_dtype: type_utils.TfdsDType
        +Returns: sequence_feature.Sequence | tensor_feature.Tensor
    }
    datatype_converter -- array_datatype_converter: uses

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File-Level Changes

Change	Details	Files
Introduces a new function, array_datatype_converter, to handle the conversion of array datatypes to TFDS features (Sequence or Tensor).	The function takes a feature, a mlc.Field object, and optional integer and float dtypes as input. It converts single-dimensional arrays to TFDS Sequence features. Multi-dimensional arrays with unknown dimensions or non-native dtypes are converted to sequences of sequences. Other multi-dimensional arrays are converted to TFDS Tensor features. The datatype_converter function now uses array_datatype_converter when field.is_array is true.	tensorflow_datasets/core/dataset_builders/croissant_builder.py
Adds new unit tests to verify the behavior of the datatype_converter function with multi-dimensional arrays.	Tests for converting to Tensor features with known shapes. Tests for converting to Sequence features when the underlying data type is IMAGE_OBJECT. Tests for converting to Sequence features when the shape includes -1. Tests for converting to Sequence features when the shape is unknown.	tensorflow_datasets/core/dataset_builders/croissant_builder_test.py

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