forked from mindspore-Ecosystem/mindspore
fix commit format error
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@ -2597,19 +2597,24 @@ class Schema:
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Args:
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columns (dict or list[dict]): dataset attribution information, decoded from schema file.
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if list: columns element must be dict, 'name' and 'type' must be in keys, 'shape' optional.
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if dict: columns.keys() as name, element in columns.values() is dict, and 'type' inside, 'shape' optional.
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example 1)
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[{'name': 'image', 'type': 'int8', 'shape': [3, 3]},
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{'name': 'label', 'type': 'int8', 'shape': [1]}]
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example 2)
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{'image': {'shape': [3, 3], 'type': 'int8'}, 'label': {'shape': [1], 'type': 'int8'}}
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- list[dict], 'name' and 'type' must be in keys, 'shape' optional.
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- dict, columns.keys() as name, columns.values() is dict, and 'type' inside, 'shape' optional.
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Raises:
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RuntimeError: If failed to parse columns.
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RuntimeError: If unknown items in columns.
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RuntimeError: If column's name field is missing.
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RuntimeError: If column's type field is missing.
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Example:
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>>> schema = Schema()
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>>> columns1 = [{'name': 'image', 'type': 'int8', 'shape': [3, 3]},
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>>> {'name': 'label', 'type': 'int8', 'shape': [1]}]
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>>> schema.parse_columns(columns1)
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>>> columns2 = {'image': {'shape': [3, 3], 'type': 'int8'}, 'label': {'shape': [1], 'type': 'int8'}}
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>>> schema.parse_columns(columns2)
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"""
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self.columns = []
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if isinstance(columns, list):
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