mindspore.dataset.text.NormalizeUTF8

class mindspore.dataset.text.NormalizeUTF8(normalize_form=NormalizeForm.NFKC)[source]

Normalize the input UTF-8 encoded strings.

Note

NormalizeUTF8 is not supported on Windows platform yet.

Parameters: normalize_form (NormalizeForm, optional) – The desired normalization form. See NormalizeForm for details on optional values. Default: NormalizeForm.NFKC .
Raises: TypeError – If normalize_form is not of type NormalizeForm.

Supported Platforms:: CPU

Examples

>>> import mindspore.dataset as ds
>>> import mindspore.dataset.text as text
>>> from mindspore.dataset.text import NormalizeForm
>>>
>>> # Use the transform in dataset pipeline mode
>>> numpy_slices_dataset = ds.NumpySlicesDataset(data=["ṩ", "ḍ̇", "q̇", "ﬁ", "2⁵", "ẛ"],
...                                              column_names=["text"], shuffle=False)
>>> normalize_op = text.NormalizeUTF8(normalize_form=NormalizeForm.NFC)
>>> numpy_slices_dataset = numpy_slices_dataset.map(operations=normalize_op)
>>> for item in numpy_slices_dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
...     print(item["text"])
...     break
ṩ
>>>
>>> # Use the transform in eager mode
>>> data = ["ṩ", "ḍ̇", "q̇", "ﬁ", "2⁵", "ẛ"]
>>> output = text.NormalizeUTF8(NormalizeForm.NFKC)(data)
>>> print(output)
['ṩ' 'ḍ̇' 'q̇' 'fi' '25' 'ṡ']

Tutorial Examples:

Illustration of text transforms