def _sanitize_single_value(
field: str, value: Optional[float]) -> Optional[EvalableFloat]:
if value is None:
return None
if isinstance(value, (int, float)):
return EvalableFloat(value)
raise TypeError("%s values for metric must be float, int or None" %
field)
def __init__(
self,
name: str,
value: float,
*,
levels: _OptionalPair = None,
boundaries: _OptionalPair = None,
) -> None:
self.validate_name(name)
if not isinstance(value, (int, float)):
raise TypeError("value for metric must be float or int, got %r" %
(value, ))
self._name = name
self._value = EvalableFloat(value)
self._levels = self._sanitize_optionals('levels', levels)
self._boundaries = self._sanitize_optionals('boundaries', boundaries)
def __new__(
cls,
name: str,
value: float,
*,
levels: _OptionalPair = None,
boundaries: _OptionalPair = None,
) -> 'Metric':
cls._validate_name(name)
if not isinstance(value, (int, float)):
raise TypeError("value for metric must be float or int, got %r" % (value,))
return super().__new__(
cls,
name=name,
value=EvalableFloat(value),
levels=cls._sanitize_optionals('levels', levels),
boundaries=cls._sanitize_optionals('boundaries', boundaries),
)
def test_evalable_float():
inf = EvalableFloat('inf')
assert literal_eval("%r" % inf) == float('inf')
