def aa_spi_write (aardvark, data_out, data_in):
"""usage: (int return, u08[] data_in) = aa_spi_write(Aardvark aardvark, u08[] data_out, u08[] data_in)
All arrays can be passed into the API as an ArrayType object or as
a tuple (array, length), where array is an ArrayType object and
length is an integer. The user-specified length would then serve
as the length argument to the API funtion (please refer to the
product datasheet). If only the array is provided, the array's
intrinsic length is used as the argument to the underlying API
function.
Additionally, for arrays that are filled by the API function, an
integer can be passed in place of the array argument and the API
will automatically create an array of that length. All output
arrays, whether passed in or generated, are passed back in the
returned tuple."""
if not AA_LIBRARY_LOADED: return AA_INCOMPATIBLE_LIBRARY
# data_out pre-processing
(data_out, out_num_bytes) = isinstance(data_out, ArrayType) and (data_out, len(data_out)) or (data_out[0], min(len(data_out[0]), int(data_out[1])))
if data_out.typecode != 'B':
raise TypeError("type for 'data_out' must be array('B')")
# data_in pre-processing
__data_in = isinstance(data_in, int)
if __data_in:
(data_in, in_num_bytes) = (array_u08(data_in), data_in)
else:
(data_in, in_num_bytes) = isinstance(data_in, ArrayType) and (data_in, len(data_in)) or (data_in[0], min(len(data_in[0]), int(data_in[1])))
if data_in.typecode != 'B':
raise TypeError("type for 'data_in' must be array('B')")
# Call API function
(_ret_) = api.py_aa_spi_write(aardvark, out_num_bytes, data_out, in_num_bytes, data_in)
# data_in post-processing
if __data_in: del data_in[max(0, min(_ret_, len(data_in))):]
return (_ret_, data_in)
def aa_spi_write (aardvark, data_out, data_in):
"""usage: (int return, u08[] data_in) = aa_spi_write(Aardvark aardvark, u08[] data_out, u08[] data_in)
All arrays can be passed into the API as an ArrayType object or as
a tuple (array, length), where array is an ArrayType object and
length is an integer. The user-specified length would then serve
as the length argument to the API funtion (please refer to the
product datasheet). If only the array is provided, the array's
intrinsic length is used as the argument to the underlying API
function.
Additionally, for arrays that are filled by the API function, an
integer can be passed in place of the array argument and the API
will automatically create an array of that length. All output
arrays, whether passed in or generated, are passed back in the
returned tuple."""
if not AA_LIBRARY_LOADED: return AA_INCOMPATIBLE_LIBRARY
# data_out pre-processing
(data_out, out_num_bytes) = isinstance(data_out, ArrayType) and (data_out, len(data_out)) or (data_out[0], min(len(data_out[0]), int(data_out[1])))
if data_out.typecode != 'B':
raise TypeError("type for 'data_out' must be array('B')")
# data_in pre-processing
__data_in = isinstance(data_in, int)
if __data_in:
(data_in, in_num_bytes) = (array_u08(data_in), data_in)
else:
(data_in, in_num_bytes) = isinstance(data_in, ArrayType) and (data_in, len(data_in)) or (data_in[0], min(len(data_in[0]), int(data_in[1])))
if data_in.typecode != 'B':
raise TypeError("type for 'data_in' must be array('B')")
# Call API function
(_ret_) = api.py_aa_spi_write(aardvark, out_num_bytes, data_out, in_num_bytes, data_in)
# data_in post-processing
if __data_in: del data_in[max(0, min(_ret_, len(data_in))):]
return (_ret_, data_in)
