def set_protobuf_float(column_schema, feature):
domain = column_schema.properties.get("domain", {})
feature.float_domain.CopyFrom(
schema_pb2.FloatDomain(
name=column_schema.name,
min=domain.get("min", None),
max=domain.get("max", None),
))
feature.type = schema_pb2.FeatureType.FLOAT
return feature
'x': schema_pb2.StringDomain(value=['a', 'b'])
}
},
{
'testcase_name': 'float_domain',
'ascii_proto': """
feature: {
name: "x" type: FLOAT
float_domain {min: 0.0 max: 0.5}
}
""",
'feature_spec': {
'x': tf.io.VarLenFeature(tf.float32)
},
'domains': {
'x': schema_pb2.FloatDomain(min=0.0, max=0.5)
}
},
{
'testcase_name': 'sparse_feature_rank_0',
'ascii_proto': """
feature {
name: "value_key"
type: INT
}
sparse_feature {
name: "x"
value_feature {name: "value_key"}
}
""",
'feature_spec': {
'feature_name':
'x',
'domain':
schema_pb2.IntDomain(min=1, max=5),
'output_schema_proto_text':
'''
feature { name: 'x' int_domain { min: 1 max: 5 } }'''
}, {
'testcase_name':
'float_domain',
'input_schema_proto_text':
'''feature { name: 'x' }''',
'feature_name':
'x',
'domain':
schema_pb2.FloatDomain(min=1.1, max=5.1),
'output_schema_proto_text':
'''
feature { name: 'x' float_domain { min: 1.1 max: 5.1 } }'''
}, {
'testcase_name':
'string_domain',
'input_schema_proto_text':
'''feature { name: 'x' }''',
'feature_name':
'x',
'domain':
schema_pb2.StringDomain(value=['a', 'b']),
'output_schema_proto_text':
'''
feature { name: 'x' string_domain { value: 'a' value: 'b' } }'''
},
'exception_type': ValueError,
'error_message': 'Invalid semantic_domain_stats_sample_rate 2'
},
{
'testcase_name':
'categorical_float_without_sketch_generators',
'stats_options_kwargs': {
'experimental_use_sketch_based_topk_uniques':
False,
'schema':
schema_pb2.Schema(feature=[
schema_pb2.Feature(
name='f',
type=schema_pb2.FLOAT,
float_domain=schema_pb2.FloatDomain(is_categorical=True))
], ),
},
'exception_type':
ValueError,
'error_message': ('Categorical float features set in schema require '
'experimental_use_sketch_based_topk_uniques'),
},
{
'testcase_name': 'both_slice_fns_and_slice_sqls_specified',
'stats_options_kwargs': {
'experimental_slice_functions': [lambda x: (None, x)],
'experimental_slice_sqls': ['']
},
'exception_type': ValueError,
'error_message': 'Only one of experimental_slice_functions or'