def infer_type(self, env: Env, sigma: InferenceType):
subst = Subst.empty()
for stmt in self.statements:
subst = subst.compose(stmt.infer_type(env,
sigma.substitute(subst)))
env.substitute(subst)
return subst
def infer_type(self, env: Env, sigma: InferenceType):
a1, a2 = env.fresh_type_var(), env.fresh_type_var()
star1 = self.fst.infer_type(env, a1)
env.substitute(star1)
star2 = self.snd.infer_type(env, a2).compose(star1)
return sigma.substitute(star2).unify_or_type_error(InferenceTuple(a1, a2).substitute(star2), self.code_range) \
.compose(star2)
def infer_type(self, env: Env, sigma: InferenceType):
t = env.get_var(self.id_number)
if self.var_type:
star = self.var_type.infer_type(env, t)
else:
star = Subst.empty()
env.substitute(star)
return self.expression.infer_type(env, t.substitute(star)).compose(star)
def infer_type(self, env: Env, sigma: InferenceType):
star1 = self.expression.infer_type(env, InferenceBool())
env.substitute(star1)
star2 = self.then_block.infer_type(
env, sigma.substitute(star1)).compose(star1)
if self.else_block is not None:
env.substitute(star2)
return self.else_block.infer_type(
env, sigma.substitute(star2)).compose(star2)
return star2
def infer_type(self, env: Env, sigma: InferenceType):
Logger.debug(f'* Start typing function {self.name.value}')
assert isinstance(self.arg_ids, list), 'Binding analysis must be done before type inference'
if self.name.value == 'main':
assert len(self.arg_ids) == 0, \
f"Function 'main' cannot take arguments, but is defined with {len(self.arg_ids)}"
env.add_fun(self.name.value, self.arg_ids)
name = self.name.value
f = env.functions.get(name)
env.update_fun_quants(name, [])
star = Subst.empty()
if self.fun_type is not None:
args_len = len(f.usage.arg_types)
types_len = len(self.fun_type.args.args)
if args_len != types_len:
raise FunArgsTypesMismatch(self.code_range, name, args_len, types_len)
for arg_tv, arg_type_def in zip(f.usage.arg_types, self.fun_type.args.args):
star = arg_type_def.infer_type(env, arg_tv).compose(star)
env.substitute(star)
star = self.fun_type.return_type.infer_type(env, f.usage.return_type).compose(star)
env.substitute(star)
star = self.block.infer_type(env, f.usage.return_type.substitute(star)).compose(star)
f = env.functions.get(name)
# Update the quantifiers
type_vars = []
for arg_tv in f.usage.arg_types:
type_vars = arg_tv.substitute(star).collect_type_vars(type_vars)
Logger.debug(f'TVs in resulting function type before removing free TVs= {f.usage}: {type_vars}')
# Remove free variables in env from the TVs we're going to quantify over
free_env_type_vars = env.free_type_vars(
lambda fun_name: fun_name != name
)
Logger.debug(f'Free TVs in env: {free_env_type_vars}')
type_vars = [x for x in type_vars if x not in free_env_type_vars]
Logger.debug(f'TVs after removing free TVs: {type_vars}')
env.update_fun_quants(name, type_vars)
f = env.functions.get(name)
postponed = env.postponed_functions.pop(name, None)
if postponed is not None:
for (instance_type, inst_code_range) in postponed:
ft = f.instantiate(env)
args_len = len(instance_type.arg_types)
tv_len = len(ft.usage.arg_types)
if tv_len != args_len:
raise FunCallArgsMismatch(self.code_range, self.name.value, args_len, tv_len)
for actual, instance in zip(ft.usage.arg_types, instance_type.arg_types):
Logger.debug(f'Postponed function signature check: {actual} <-> {instance}')
star = actual.unify_or_type_error(instance.substitute(star), inst_code_range).compose(star)
env.substitute(star)
star = instance_type.return_type.substitute(star)\
.unify_or_type_error(ft.usage.return_type.substitute(star), inst_code_range)
env.substitute(star)
Logger.debug(f'- Finished typing function {name}\n')
return star
def infer_type(self, env: Env, sigma: InferenceType):
env.global_var_ids = [
x.id_number for x in self.declarations if isinstance(x, VarDecl)
]
subst = Subst.empty()
for d in self.declarations:
subst = subst.compose(d.infer_type(env, sigma))
env.substitute(subst)
tv_globals = env.get_globals_with_tv()
for (g, tv) in tv_globals:
for d in self.declarations:
if isinstance(d, VarDecl) and d.id_number == g:
raise UnknownVarTypeError(d.code_range, tv, d.name.value)
return subst
def infer_type(self, env: Env, sigma: InferenceType):
if self.field_type == FieldType.Fst:
tup = InferenceTuple(sigma, env.fresh_type_var())
return self.field.infer_type(env, tup)
elif self.field_type == FieldType.Snd:
tup = InferenceTuple(env.fresh_type_var(), sigma)
return self.field.infer_type(env, tup)
elif self.field_type == FieldType.Hd:
lst = InferenceList(sigma)
return self.field.infer_type(env, lst)
elif self.field_type == FieldType.Tl:
lst = InferenceList(env.fresh_type_var())
star = sigma.unify_or_type_error(lst, self.code_range)
env.substitute(star)
return self.field.infer_type(env, sigma.substitute(star)).compose(star)
else:
raise Exception('Unknown field accessor')
def infer_type(self, env: Env, sigma: InferenceType):
e1_type, e2_type, result_type = None, None, None
if self.op_type in [BinaryOpType.Sub, BinaryOpType.Mul, BinaryOpType.Div, BinaryOpType.Mod]:
e1_type, e2_type, result_type = InferenceInt(), InferenceInt(), InferenceInt()
elif self.op_type in [BinaryOpType.Eq, BinaryOpType.Neq, BinaryOpType.Geq, BinaryOpType.Leq, BinaryOpType.Lt,
BinaryOpType.Gt]:
tv = env.fresh_type_var()
e1_type, e2_type, result_type = tv, tv, InferenceBool()
elif self.op_type in [BinaryOpType.Add]: # Add is overloaded for int, char and list
tv = env.fresh_type_var()
e1_type, e2_type, result_type = tv, tv, tv
elif self.op_type in [BinaryOpType.And, BinaryOpType.Or]:
e1_type, e2_type, result_type = InferenceBool(), InferenceBool(), InferenceBool()
elif self.op_type == BinaryOpType.Cons:
tv = env.fresh_type_var()
e1_type, e2_type, result_type = tv, InferenceList(tv), InferenceList(tv)
star1 = self.expr1.infer_type(env, e1_type)
env.substitute(star1)
star2 = self.expr2.infer_type(env, e2_type.substitute(star1)).compose(star1)
return sigma.substitute(star2).unify_or_type_error(result_type.substitute(star2), self.code_range).compose(
star2)
def infer_type(self, env: Env, sigma: InferenceType):
f = env.functions.get(self.function_name.value)
if f is not None:
f = f.instantiate(env)
args_len = len(self.expressions)
tv_len = len(f.usage.arg_types)
if args_len != tv_len:
raise FunCallArgsMismatch(self.code_range, self.function_name.value, args_len, tv_len)
subst = Subst.empty()
for exp, tv in zip(self.expressions, f.usage.arg_types):
subst = exp.infer_type(env, tv.substitute(subst)).compose(subst)
env.substitute(subst)
return sigma.unify_or_type_error(f.usage.return_type.substitute(subst), self.code_range).compose(subst)
else: # Function was not yet declared
type_vars = []
subst = Subst.empty()
for arg in self.expressions:
tv = env.fresh_type_var()
type_vars.append(tv)
subst = arg.infer_type(env, tv).compose(subst)
env.substitute(subst)
env.add_fun_usage(self.function_name.value, type_vars, sigma, self.code_range)
return subst
def infer_type(self, env: Env, sigma: InferenceType):
star = self.expression.infer_type(env, InferenceBool())
env.substitute(star)
return self.body.infer_type(env, sigma.substitute(star)).compose(star)
def analysis(self, ast: SPLFile):
Logger.info(
'-------------------------------------------------------------')
Logger.info(
'------------------ Starting analysis phase ------------------')
Logger.info(
'-------------------------------------------------------------')
Logger.info('* Starting return value checking')
rvc = ReturnValueChecker()
return_warnings, return_errors = rvc.check_spl_file(ast)
Logger.info('- Return value checking DONE')
if len(return_warnings) > 0:
for w in return_warnings:
Logger.warning(w)
if len(return_errors) > 0:
for e in return_errors:
Logger.error(e)
sys.exit(1)
context = Context()
for b in self.builtins:
b.add_to_context(context)
Logger.info(
f'- Added {len(self.builtins)} builtin functions to binding context: {self.get_builtin_str()}'
)
binding_feedback = {'errors': [], 'warnings': []}
Logger.info('* Starting binding analysis')
ast.binding_analysis(context, binding_feedback)
Logger.info('- Binding analysis DONE')
Logger.info(
'*** Pretty printing AST with identifier IDs after binding analysis: ***'
)
Logger.info('\n' + ast.indented_print())
if len(binding_feedback['warnings']) > 0:
for w in binding_feedback['warnings']:
Logger.warning(w)
if len(binding_feedback['errors']) > 0:
for e in binding_feedback['errors']:
Logger.error(e)
sys.exit(1)
env = Env()
for b in self.builtins:
b.add_to_env(env)
Logger.info(
f'- Added {len(self.builtins)} builtin functions to type environment: {self.get_builtin_str()}'
)
subst = Subst.empty()
Logger.info('* Starting type inference')
try:
subst = ast.infer_type(env, InferenceVoid())
except Exception as e:
Logger.error(str(e))
# raise e
sys.exit(1)
env.substitute(subst)
Logger.debug('* Inferred function types after inference:')
for name, f in env.functions.items():
Logger.debug(
f'- {name} :: args: [{", ".join(str(a) for a in f.usage.arg_types)}], ret: {str(f.usage.return_type)}'
)
Logger.debug('* Inferred variable types after inference:')
for num, v in env.variables.items():
Logger.debug(f'- {num} :: {str(v)}')
Logger.info('- Typing DONE')
return env
def infer_type(self, env: Env, sigma: InferenceType):
a = env.fresh_type_var()
star = self.list_type.infer_type(env, a)
env.substitute(star)
return sigma.unify_or_type_error(InferenceList(a).substitute(star), self.code_range).compose(star)
def infer_type(self, env: Env, sigma: InferenceType):
type_var = env.get_var(self.id_number)
result = sigma.unify_or_type_error(type_var, self.code_range)
env.substitute(result)
return result