def test_cmp(self, raw_dict_binary_vector):
import copy
field1 = FieldSchema.construct_from_dict(raw_dict_binary_vector)
field2 = FieldSchema.construct_from_dict(raw_dict_binary_vector)
assert field1 == field2
dict1 = copy.deepcopy(raw_dict_binary_vector)
dict1["name"] = dict1["name"] + "_"
field3 = FieldSchema.construct_from_dict(dict1)
assert field1 != field3
def test_to_dict(self, raw_dict_norm, raw_dict_float_vector,
raw_dict_binary_vector):
fields = []
dicts = [raw_dict_norm, raw_dict_float_vector, raw_dict_binary_vector]
fields.append(FieldSchema.construct_from_dict(raw_dict_norm))
fields.append(FieldSchema.construct_from_dict(raw_dict_float_vector))
fields.append(FieldSchema.construct_from_dict(raw_dict_binary_vector))
for i, f in enumerate(fields):
target = f.to_dict()
assert target == dicts[i]
assert target is not dicts[i]
def test_constructor_from_float_dict(self, raw_dict_float_vector):
field = FieldSchema.construct_from_dict(raw_dict_float_vector)
assert field.dtype == DataType.FLOAT_VECTOR
assert field.description == raw_dict_float_vector['description']
assert field.is_primary == False
assert field.name == raw_dict_float_vector['name']
assert field.dim == raw_dict_float_vector['params']['dim']
def test_constructor_from_norm_dict(self, raw_dict_norm):
field = FieldSchema.construct_from_dict(raw_dict_norm)
assert field.dtype == DataType.INT64
assert field.description == raw_dict_norm['description']
assert field.is_primary == False
assert field.name == raw_dict_norm['name']
assert field.dim is None
assert field.dummy is None
