def resolve_value_type(self, val):
"""
Return the numba type of a Python value that is being used
as a runtime constant.
None is returned for unsupported types.
"""
tp = typeof(val, Purpose.constant)
if tp is not None:
return tp
if isinstance(val, (types.ExternalFunction, types.NumbaFunction)):
return val
if isinstance(val, type):
if issubclass(val, BaseException):
return types.ExceptionClass(val)
if issubclass(val, tuple) and hasattr(val, "_asdict"):
return types.NamedTupleClass(val)
try:
# Try to look up target specific typing information
return self._get_global_type(val)
except KeyError:
pass
return None
def typeof_type(val, c):
"""
Type various specific Python types.
"""
if issubclass(val, BaseException):
return types.ExceptionClass(val)
if issubclass(val, tuple) and hasattr(val, "_asdict"):
return types.NamedTupleClass(val)
def typeof_type(val, c):
"""
Type various specific Python types.
"""
if issubclass(val, BaseException):
return types.ExceptionClass(val)
if issubclass(val, tuple) and hasattr(val, "_asdict"):
return types.NamedTupleClass(val)
if issubclass(val, np.generic):
return types.NumberClass(numpy_support.from_dtype(val))
def typeof_type(val, c):
"""
Type various specific Python types.
"""
if issubclass(val, BaseException):
return types.ExceptionClass(val)
if issubclass(val, tuple) and hasattr(val, "_asdict"):
return types.NamedTupleClass(val)
if issubclass(val, np.generic):
return types.NumberClass(numpy_support.from_dtype(val))
from numba.typed import Dict
if issubclass(val, Dict):
return types.TypeRef(types.DictType)
from numba.typed import List
if issubclass(val, List):
return types.TypeRef(types.ListType)