def read(self,data):
if self.type == 'float':
c_rsf.sf_floatread(np.reshape(data,(data.size,)),self.file)
elif self.type == 'complex':
c_rsf.sf_complexread(np.reshape(data,(data.size)),self.file)
else:
raise TypeError, 'Unsupported file type %s' % self.type
def read(self, data=[], shape=None, datatype=None):
if len(data) == 0:
allocate = True
if shape == None:
shape = self.shape()
if datatype == None:
datatype = self.datatype
data = np.zeros(shape, dtype=datatype)
else:
allocate = False
shape = data.shape
datacount = data.size
if _swig_:
if self.type == 'float':
c_rsf.sf_floatread(np.reshape(data, (data.size, )), self.file)
elif self.type == 'complex':
c_rsf.sf_complexread(np.reshape(data, (data.size)), self.file)
elif self.type == 'int':
c_rsf.sf_intread(np.reshape(data, (data.size, )), self.file)
else:
raise TypeError('Unsupported file type %s' % self.type)
else:
if self.type == 'float':
self.file.floatread(np.reshape(data, (data.size, )))
elif self.type == 'int':
self.file.intread(np.reshape(data, (data.size, )))
else:
raise TypeError('Unsupported file type %s' % self.type)
if allocate:
return data
def read(self,data):
if self.type == 'float':
c_rsf.sf_floatread(numpy.reshape(data,(data.size,)),self.file)
elif self.type == 'complex':
c_rsf.sf_complexread(numpy.reshape(data,(data.size)),self.file)
else:
raise TypeError, 'Unsupported file type %s' % self.type