def _is_function(val):
if not isinstance(val, six.string_types):
return False
try:
op_util.parse_function(val)
except ValueError:
return False
else:
return True
def _try_function_dim(val, flag_name):
assert isinstance(val, six.string_types), val
try:
func_name, func_args = op_util.parse_function(val)
except ValueError:
raise ValueError(val, flag_name)
else:
return _function_dim(func_name, func_args, flag_name)
def _flag_dim(val, flag_name):
if isinstance(val, list):
return val
try:
dist_name, min_max = op_util.parse_function(val)
except ValueError:
return [val]
else:
_validate_min_max(min_max, dist_name, flag_name)
return min_max
def _flag_dim(val, flag_name):
_patch_numpy_deprecation_warnings()
from skopt.space import space
if isinstance(val, list):
return space.Categorical(val), None
try:
func_name, func_args = op_util.parse_function(val)
except ValueError:
return space.Categorical([val]), val
else:
return _function_dim(func_name, func_args, flag_name)