def Assign(self, *args):
r"""
Assign(Vector self, double const v)
Assign(Vector self, PyObject * param)
"""
from numpy import ndarray, ascontiguousarray, array
keep_link = False
if len(args) == 1:
if isinstance(args[0], ndarray):
if args[0].dtype != 'float64':
raise ValueError('Must be float64 array ' +
str(args[0].dtype) + ' is given')
elif args[0].ndim != 1:
raise ValueError('Ndim must be one')
elif args[0].shape[0] != _vector.Vector_Size(self):
raise ValueError('Length does not match')
else:
args = (ascontiguousarray(args[0]), )
elif isinstance(args[0], tuple):
args = (array(args[0], dtype=float), )
elif isinstance(args[0], list):
args = (array(args[0], dtype=float), )
else:
pass
val = _vector.Vector_Assign(self, *args)
return self
return val
def Assign(self, *args):
from numpy import ndarray, ascontiguousarray
if len(args) == 1 and isinstance(args[0], ndarray):
if args[0].dtype != 'float64':
raise ValueError('Must be float64 array')
elif args[0].ndim != 1:
raise ValueError('Ndim must be one')
elif args[0].shape[0] != _vector.Vector_Size(self):
raise ValueError('Length does not match')
else:
args = (ascontiguousarray(args[0]), )
val = _vector.Vector_Assign(self, *args)
return self
return val
def Assign(self, *args):
return _vector.Vector_Assign(self, *args)