def parse_model(lexer, model=None):
if model is None:
model = Model()
while lexer.get_type() != lex.TOKEN_EOF:
lexer.match(lex.TOKEN_OPEN)
name = lexer.get_value()
lexer.match(lex.TOKEN_LITERAL)
if name == 'machine':
model.machine = machine.parse_machine(lexer)
elif name == 'memory':
model.memory = memory.parse_memory_list(lexer)
elif name == 'benchmarks':
model.benchmarks = _parse_benchmarks(lexer)
elif name == 'label':
model.label = _parse_str(lexer)
elif name == 'include':
value = lexer.get_value()
lexer.match(lex.TOKEN_LITERAL)
parse_model(lex.Lexer(open(value, 'r')), model)
else:
lex.ParseError(lexer, 'invalid top-level component: ' + name)
lexer.match(lex.TOKEN_CLOSE)
return model
def test_parse1(self):
s = "(target simple)(frequency 1.0)"
s += "(addr_bits 16)(max_path 10)(max_cost 9)"
l = lex.Lexer(mocks.MockFile(s))
result = machine.parse_machine(l)
self.assertEqual(str(result), s)