def read(self, data) :
assert data.shape[1] == self.channels
if data.dtype==np.float64 :
return _lib.sf_readf_double(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_double)), data.shape[0])
elif data.dtype==np.float32 :
return _lib.sf_readf_float(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), data.shape[0])
elif data.dtype==np.int16 :
return _lib.sf_readf_short(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), data.shape[0])
elif data.dtype==np.int32 :
return _lib.sf_readf_int(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_int)), data.shape[0])
else:
raise TypeError("Please choose a correct dtype")
def read(self, data) :
channels, frames = data.shape
assert channels == self.channels, \
"Buffer has room for %i channels, wave file has %i channels"%(
channels, self.channels)
assert data.strides[0]*channels == data.strides[1], \
"Buffer storage be column-major order. Consider using buffer(size)"
if data.dtype==np.float64 :
return _lib.sf_readf_double(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_double)), frames)
elif data.dtype==np.float32 :
return _lib.sf_readf_float(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), frames)
elif data.dtype==np.int16 :
return _lib.sf_readf_short(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_short)), frames)
elif data.dtype==np.int32 :
return _lib.sf_readf_int(self._sndfile, data.ctypes.data_as(ctypes.POINTER(ctypes.c_int)), frames)
else:
raise TypeError("Please choose a correct dtype")
def read(self, data):
assert data.shape[1] == self.channels
if data.dtype == np.float64:
return _lib.sf_readf_double(
self._sndfile,
data.ctypes.data_as(ctypes.POINTER(ctypes.c_double)),
data.shape[0])
elif data.dtype == np.float32:
return _lib.sf_readf_float(
self._sndfile,
data.ctypes.data_as(ctypes.POINTER(ctypes.c_float)),
data.shape[0])
elif data.dtype == np.int16:
return _lib.sf_readf_short(
self._sndfile,
data.ctypes.data_as(ctypes.POINTER(ctypes.c_short)),
data.shape[0])
elif data.dtype == np.int32:
return _lib.sf_readf_int(
self._sndfile,
data.ctypes.data_as(ctypes.POINTER(ctypes.c_int)),
data.shape[0])
else:
raise TypeError("Please choose a correct dtype")
