687e31d276db17b4ac7bea08b01c1e5401168ca9,tensorflow_transform/tf_metadata/dataset_schema.py,Schema,__init__,#Schema#Any#,58

Before Change

  def __init__(self, column_schemas=None):
    if not column_schemas:
      column_schemas = {}
    if not isinstance(column_schemas, dict):
      raise ValueError("column_schemas must be a dict.")
    self._column_schemas = column_schemas
    self._validate_column_schemas()

  def _validate_column_schemas(self):
    Validate that this Schema can be represented as a schema_pb2.Schema.

After Change

  

  def __init__(self, column_schemas):
    feature_spec = {name: spec
                    for name, (_, spec) in column_schemas.items()}
    domains = {name: domain
               for name, (domain, _) in column_schemas.items()
               if domain is not None}
    self._schema_proto = schema_utils.schema_from_feature_spec(

Instances