Accessasid uint16  // E
	Loginname  [8]byte // 10
	Flag1      byte    // 18
	Flag1b2    byte    // 19
}

type Bpxystat_t struct { // DSECT BPXYSTAT
	St_id           [4]uint8  // 0
	St_length       uint16    // 0x4
	St_version      uint16    // 0x6
	St_mode         uint32    // 0x8
	St_ino          uint32    // 0xc
	St_dev          uint32    // 0x10
	St_nlink        uint32    // 0x14

                  size_value, len_value), node)
        elif ty == TFRTypes.TENSOR_LIST:
          size_value = self._ssa_name('len')
          self._emit_with_loc(
              '\n{} = tfr.get_length {} -> index'.format(size_value, arg), node)
        return (size_value, TFRTypes.INDEX)

    raise NotImplementedError('call operator not recognized: {} {}'.format(
        func_name, func_type))

*   Add a bitwise module with bitwise_and, bitwise_or, bitwise_xor, and invert
    functions.
*   Add fixed-grid ODE integration routines.
*   Allow passing bounds to ScipyOptimizerInterface.
*   Correctness fixes for fft_length parameter to `tf.spectral.rfft` &
    `tf.spectral.irfft`.
*   Exported model signatures using the 'predict' method will no longer have
    their input and output keys silently ignored and rewritten to 'inputs' and

readUntilDelimiter(delim){throw new Error('Not implemented');}
readNumBytes(opt_size){throw new Error('Not implemented');}
rewind(){throw new Error('Not implemented');}
substream(offset,opt_length,opt_headerSize){throw new Error('Not implemented');}}