sim._pyrtl: optimize uses of reflexive operators.

sim._pyrtl: optimize uses of reflexive operators.

When a literal is used on the left-hand side of a numeric operator,
Python is able to constant-fold some expressions:

    >>> dis.dis(lambda x: 0 + 0 + x)
      1           0 LOAD_CONST               1 (0)
                  2 LOAD_FAST                0 (x)
                  4 BINARY_ADD
                  6 RETURN_VALUE

If a literal is used on the right-hand side such that the left-hand
side is variable, this doesn't happen:

    >>> dis.dis(lambda x: x + 0 + 0)
      1           0 LOAD_FAST                0 (x)
                  2 LOAD_CONST               1 (0)
                  4 BINARY_ADD
                  6 LOAD_CONST               1 (0)
                  8 BINARY_ADD
                 10 RETURN_VALUE

PyRTL generates fairly redundant code due to the pervasive masking,
and because of that, transforming expressions into the former form,
where possible, improves runtime by about 10% on Minerva SRAM SoC.