def local_do_test( m ):
"""Check if generated behavioral RTLIR is the same as reference."""
m.apply( BehavioralRTLIRGenPass() )
m.apply( BehavioralRTLIRTypeCheckPass() )
m.apply( BehavioralRTLIRVisualizationPass() )
ref = m._rtlir_tmpvar_ref
ns = m._pass_behavioral_rtlir_type_check
for tvar_name in ref.keys():
assert tvar_name in ns.rtlir_tmpvars
assert ns.rtlir_tmpvars[tvar_name] == ref[tvar_name]
def local_do_test(m):
"""Check if generated behavioral RTLIR is the same as reference."""
m.apply(BehavioralRTLIRGenPass(m))
m.apply(BehavioralRTLIRTypeCheckPass(m))
m.apply(BehavioralRTLIRVisualizationPass())
ref = m._rtlir_tmpvar_ref
rtlir_tmpvars = m.get_metadata(BehavioralRTLIRTypeCheckPass.rtlir_tmpvars)
for tvar_name in ref.keys():
assert tvar_name in rtlir_tmpvars
assert rtlir_tmpvars[tvar_name] == ref[tvar_name]
def local_do_test(m):
"""Check if generated behavioral RTLIR is the same as reference."""
ref = m._rtlir_test_ref
m.elaborate()
m.apply(BehavioralRTLIRGenPass())
m.apply(BehavioralRTLIRTypeCheckPass())
m.apply(BehavioralRTLIRVisualizationPass())
for blk in m.get_update_blocks():
assert\
m._pass_behavioral_rtlir_gen.rtlir_upblks[ blk ] == ref[ blk.__name__ ]
def local_do_test(m):
"""Check if generated behavioral RTLIR is the same as reference."""
m.elaborate()
m.apply(BehavioralRTLIRGenL5Pass())
m.apply(BehavioralRTLIRTypeCheckL5Pass())
m.apply(BehavioralRTLIRVisualizationPass())
try:
ref = m._rtlir_test_ref
for blk in m.get_update_blocks():
upblk = m._pass_behavioral_rtlir_gen.rtlir_upblks[blk]
assert upblk == ref[blk.__name__]
except AttributeError:
pass