def test_np_value_fields():
float64 = fields.Float64()
res = float64._deserialize("2", None, None)
assert res == 2.0
assert isinstance(res, np.float64)
int64 = fields.Int64()
res = int64._deserialize("2", None, None)
assert res == 2
assert isinstance(res, np.int64)
bool_ = fields.Bool_()
res = bool_._deserialize("true", None, None)
assert res is np.bool_(True)
assert isinstance(res, np.bool_)
assert bool_._serialize(res, None, None) is True
def get_type(data):
numeric_types = {
"int":
contrib_fields.Int64(allow_none=True, error_messages=INVALID_NUMBER),
"bool":
contrib_fields.Bool_(allow_none=True, error_messages=INVALID_BOOLEAN),
"float":
contrib_fields.Float64(allow_none=True, error_messages=INVALID_NUMBER),
}
types = dict(FIELD_MAP, **numeric_types)
fieldtype = types[data["type"]]
dim = data.get("number_dims", 0)
while dim > 0:
fieldtype = fields.List(fieldtype, allow_none=True)
dim -= 1
return fieldtype
def get_type(data):
# TODO: Use invalid error messages on next marshmallow release
# (post 0.3.0rc4)
# error_messages = {"invalid": "Invalid input: {input}"}
numeric_types = {
"int": contrib_fields.Int64(allow_none=True),
"bool": contrib_fields.Bool_(allow_none=True),
"float": contrib_fields.Float64(allow_none=True),
}
types = dict(FIELD_MAP, **numeric_types)
fieldtype = types[data["type"]]
dim = data["number_dims"]
while dim > 0:
fieldtype = fields.List(fieldtype, allow_none=True)
dim -= 1
return fieldtype