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1. treat feature values as lists instead of single value if the feature only contains single scalar 2. support the conversion of list to ndarray with proper type to retain the feature type *dict to example* 1. Check the type for numeric feature as they might be float instead of int which we could not rely on the first number of the list to determine the type. *move script to internal codebase* * Unit test requires using internal module (checked by our kokor check) PiperOrigin-RevId: 810197698
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example to dict
dict to example
move script to internal codebase