mirror of
https://github.com/ton-blockchain/ton
synced 2025-03-09 15:40:10 +00:00
7a1602f591
It works both for reading and writing: > var t = (1, 2); > t.0; // 1 > t.0 = 5; > t; // (5, 2) It also works for typed/untyped tuples, producing INDEX and SETINDEX. Global tensors and tuples works. Nesting `t.0.1.2` works. `mutate` works. Even mixing tuples inside tensors inside a global for writing works.
1323 lines
60 KiB
C++
1323 lines
60 KiB
C++
/*
|
|
This file is part of TON Blockchain Library.
|
|
|
|
TON Blockchain Library is free software: you can redistribute it and/or modify
|
|
it under the terms of the GNU Lesser General Public License as published by
|
|
the Free Software Foundation, either version 2 of the License, or
|
|
(at your option) any later version.
|
|
|
|
TON Blockchain Library is distributed in the hope that it will be useful,
|
|
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
GNU Lesser General Public License for more details.
|
|
|
|
You should have received a copy of the GNU Lesser General Public License
|
|
along with TON Blockchain Library. If not, see <http://www.gnu.org/licenses/>.
|
|
*/
|
|
#include "tolk.h"
|
|
#include "src-file.h"
|
|
#include "ast.h"
|
|
#include "ast-visitor.h"
|
|
#include "generics-helpers.h"
|
|
#include "type-system.h"
|
|
|
|
/*
|
|
* This is a complicated and crucial part of the pipeline. It simultaneously does the following:
|
|
* * infers types of all expressions; example: `2 + 3` both are TypeDataInt, result is also
|
|
* * AND checks types for assignment, arguments passing, etc.; example: `fInt(cs)` is error passing slice to int
|
|
* * AND binds function/method calls (assigns fun_ref); example: `globalF()`, fun_ref is assigned to `globalF` (unless generic)
|
|
* * AND instantiates generic functions; example: `t.tuplePush(2)` creates `tuplePush<int>` and assigns fun_ref to dot field
|
|
* * AND infers return type of functions if it's omitted (`fun f() { ... }` means "auto infer", not "void")
|
|
*
|
|
* It's important to do all these parts simultaneously, they can't be split or separated.
|
|
* For example, we can't bind `f(2)` earlier, because if `f` is a generic `f<T>`, we should instantiate it,
|
|
* and in order to do it, we need to know argument types.
|
|
* For example, we can't bind `c.cellHash()` earlier, because in the future we'll have overloads (`cell.hash()` and `slice.hash()`),
|
|
* and in order to bind it, we need to know object type.
|
|
* And vice versa, to infer type of expression in the middle, we need to have inferred all expressions preceding it,
|
|
* which may also include generics, etc.
|
|
*
|
|
* About generics. They are more like "C++ templates". If `f<int>` and `f<slice>` called from somewhere,
|
|
* there will be TWO new functions, inserted into symtable, and both will be code generated to Fift.
|
|
* Body of a generic function is NOT analyzed. Hence, `fun f<T>(v: T) { v.method(); }` we don't know
|
|
* whether `v.method()` is a valid call until instantiate it with `f<slice>` for example.
|
|
* Same for `v + 2`, we don't know whether + operator can be applied until instantiation.
|
|
* In other words, we have a closed type system, not open.
|
|
* That's why generic functions' bodies aren't traversed here (and in most following pipes).
|
|
* Instead, when an instantiated function is created, it follows all the preceding pipeline (registering symbols, etc.),
|
|
* and type inferring is done inside instantiated functions (which can recursively instantiate another, etc.).
|
|
*
|
|
* A noticeable part of inferring is "hints".
|
|
* Example: `var a: User = { id: 3, name: "" }`. To infer type of `{...}` we need to know it's `User`. This hint is taken from lhs.
|
|
* Example: `fun tupleAt<T>(t: tuple, idx: int):T`, just `t.tupleGet(2)` can't be deduced (T left unspecified),
|
|
* but for assignment with left-defined type, or a call to `fInt(t.tupleGet(2))` hint "int" helps deduce T.
|
|
*
|
|
* Unlike other pipes, inferring can dig recursively on demand.
|
|
* Example:
|
|
* fun getInt() { return 1; }
|
|
* fun main() { var i = getInt(); }
|
|
* If `main` is handled the first, it should know the return type if `getInt`. It's not declared, so we need
|
|
* to launch type inferring for `getInt` and then proceed back to `main`.
|
|
* When a generic function is instantiated, type inferring inside it is also run.
|
|
*/
|
|
|
|
namespace tolk {
|
|
|
|
static void infer_and_save_return_type_of_function(const FunctionData* fun_ref);
|
|
|
|
static TypePtr get_or_infer_return_type(const FunctionData* fun_ref) {
|
|
if (!fun_ref->inferred_return_type) {
|
|
infer_and_save_return_type_of_function(fun_ref);
|
|
}
|
|
return fun_ref->inferred_return_type;
|
|
}
|
|
|
|
GNU_ATTRIBUTE_NOINLINE
|
|
static std::string to_string(TypePtr type) {
|
|
return "`" + type->as_human_readable() + "`";
|
|
}
|
|
|
|
GNU_ATTRIBUTE_NOINLINE
|
|
static std::string to_string(AnyExprV v_with_type) {
|
|
return "`" + v_with_type->inferred_type->as_human_readable() + "`";
|
|
}
|
|
|
|
GNU_ATTRIBUTE_NOINLINE
|
|
static std::string to_string(const LocalVarData& var_ref) {
|
|
return "`" + var_ref.declared_type->as_human_readable() + "`";
|
|
}
|
|
|
|
GNU_ATTRIBUTE_NOINLINE
|
|
static std::string to_string(const FunctionData* fun_ref) {
|
|
return "`" + fun_ref->as_human_readable() + "`";
|
|
}
|
|
|
|
// fire an error when `fun f<T>(...) asm ...` is called with T=(int,int) or other non-1 width on stack
|
|
// asm functions generally can't handle it, they expect T to be a TVM primitive
|
|
// (in FunC, `forall` type just couldn't be unified with non-primitives; in Tolk, generic T is expectedly inferred)
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_calling_asm_function_with_non1_stack_width_arg(SrcLocation loc, const FunctionData* fun_ref, const std::vector<TypePtr>& substitutions, int arg_idx) {
|
|
throw ParseError(loc, "can not call `" + fun_ref->as_human_readable() + "` with " + fun_ref->genericTs->get_nameT(arg_idx) + "=" + substitutions[arg_idx]->as_human_readable() + ", because it occupies " + std::to_string(substitutions[arg_idx]->calc_width_on_stack()) + " stack slots in TVM, not 1");
|
|
}
|
|
|
|
// fire an error on `var n = null`
|
|
// technically it's correct, type of `n` is TypeDataNullLiteral, but it's not what the user wanted
|
|
// so, it's better to see an error on assignment, that later, on `n` usage and types mismatch
|
|
// (most common is situation above, but generally, `var (x,n) = xn` where xn is a tensor with 2-nd always-null, can be)
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_assign_always_null_to_variable(SrcLocation loc, const LocalVarData* assigned_var, bool is_assigned_null_literal) {
|
|
std::string var_name = assigned_var->name;
|
|
throw ParseError(loc, "can not infer type of `" + var_name + "`, it's always null; specify its type with `" + var_name + ": <type>`" + (is_assigned_null_literal ? " or use `null as <type>`" : ""));
|
|
}
|
|
|
|
// fire an error on `!cell` / `+slice`
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_cannot_apply_operator(SrcLocation loc, std::string_view operator_name, AnyExprV unary_expr) {
|
|
std::string op = static_cast<std::string>(operator_name);
|
|
throw ParseError(loc, "can not apply operator `" + op + "` to " + to_string(unary_expr->inferred_type));
|
|
}
|
|
|
|
// fire an error on `int + cell` / `slice & int`
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_cannot_apply_operator(SrcLocation loc, std::string_view operator_name, AnyExprV lhs, AnyExprV rhs) {
|
|
std::string op = static_cast<std::string>(operator_name);
|
|
throw ParseError(loc, "can not apply operator `" + op + "` to " + to_string(lhs->inferred_type) + " and " + to_string(rhs->inferred_type));
|
|
}
|
|
|
|
// fire an error on `untypedTupleVar.0` when used without a hint
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_cannot_deduce_untyped_tuple_access(SrcLocation loc, int index) {
|
|
std::string idx_access = "<tuple>." + std::to_string(index);
|
|
throw ParseError(loc, "can not deduce type of `" + idx_access + "`; either assign it to variable like `var c: int = " + idx_access + "` or cast the result like `" + idx_access + " as int`");
|
|
}
|
|
|
|
// fire an error on `untypedTupleVar.0` when inferred as (int,int), or `[int, (int,int)]`, or other non-1 width in a tuple
|
|
GNU_ATTRIBUTE_NORETURN GNU_ATTRIBUTE_COLD
|
|
static void fire_error_cannot_put_non1_stack_width_arg_to_tuple(SrcLocation loc, TypePtr inferred_type) {
|
|
throw ParseError(loc, "can not put " + to_string(inferred_type) + " into a tuple, because it occupies " + std::to_string(inferred_type->calc_width_on_stack()) + " stack slots in TVM, not 1");
|
|
}
|
|
|
|
// check correctness of called arguments counts and their type matching
|
|
static void check_function_arguments(const FunctionData* fun_ref, V<ast_argument_list> v, AnyExprV lhs_of_dot_call) {
|
|
int delta_self = lhs_of_dot_call ? 1 : 0;
|
|
int n_arguments = v->size() + delta_self;
|
|
int n_parameters = fun_ref->get_num_params();
|
|
|
|
// Tolk doesn't have optional parameters currently, so just compare counts
|
|
if (!n_parameters && lhs_of_dot_call) {
|
|
v->error("`" + fun_ref->name + "` has no parameters and can not be called as method");
|
|
}
|
|
if (n_parameters < n_arguments) {
|
|
v->error("too many arguments in call to `" + fun_ref->name + "`, expected " + std::to_string(n_parameters - delta_self) + ", have " + std::to_string(n_arguments - delta_self));
|
|
}
|
|
if (n_arguments < n_parameters) {
|
|
v->error("too few arguments in call to `" + fun_ref->name + "`, expected " + std::to_string(n_parameters - delta_self) + ", have " + std::to_string(n_arguments - delta_self));
|
|
}
|
|
|
|
if (lhs_of_dot_call) {
|
|
if (!fun_ref->parameters[0].declared_type->can_rhs_be_assigned(lhs_of_dot_call->inferred_type)) {
|
|
lhs_of_dot_call->error("can not call method for " + to_string(fun_ref->parameters[0]) + " with object of type " + to_string(lhs_of_dot_call));
|
|
}
|
|
}
|
|
for (int i = 0; i < v->size(); ++i) {
|
|
if (!fun_ref->parameters[i + delta_self].declared_type->can_rhs_be_assigned(v->get_arg(i)->inferred_type)) {
|
|
v->get_arg(i)->error("can not pass " + to_string(v->get_arg(i)) + " to " + to_string(fun_ref->parameters[i + delta_self]));
|
|
}
|
|
}
|
|
}
|
|
|
|
/*
|
|
* TypeInferringUnifyStrategy unifies types from various branches to a common result (lca).
|
|
* It's used to auto infer function return type based on return statements, like in TypeScript.
|
|
* Example: `fun f() { ... return 1; ... return null; }` inferred as `int`.
|
|
*
|
|
* Besides function returns, it's also useful for ternary `return cond ? 1 : null` and `match` expression.
|
|
* If types can't be unified (a function returns int and cell, for example), `unify()` returns false, handled outside.
|
|
* BTW, don't confuse this way of inferring with Hindley-Milner, they have nothing in common.
|
|
*/
|
|
class TypeInferringUnifyStrategy {
|
|
TypePtr unified_result = nullptr;
|
|
|
|
static TypePtr calculate_type_lca(TypePtr t1, TypePtr t2) {
|
|
if (t1 == t2) {
|
|
return t1;
|
|
}
|
|
if (t1->can_rhs_be_assigned(t2)) {
|
|
return t1;
|
|
}
|
|
if (t2->can_rhs_be_assigned(t1)) {
|
|
return t2;
|
|
}
|
|
|
|
const auto* tensor1 = t1->try_as<TypeDataTensor>();
|
|
const auto* tensor2 = t2->try_as<TypeDataTensor>();
|
|
if (tensor1 && tensor2 && tensor1->size() == tensor2->size()) {
|
|
std::vector<TypePtr> types_lca;
|
|
types_lca.reserve(tensor1->size());
|
|
for (int i = 0; i < tensor1->size(); ++i) {
|
|
TypePtr next = calculate_type_lca(tensor1->items[i], tensor2->items[i]);
|
|
if (next == nullptr) {
|
|
return nullptr;
|
|
}
|
|
types_lca.push_back(next);
|
|
}
|
|
return TypeDataTensor::create(std::move(types_lca));
|
|
}
|
|
|
|
const auto* tuple1 = t1->try_as<TypeDataTypedTuple>();
|
|
const auto* tuple2 = t2->try_as<TypeDataTypedTuple>();
|
|
if (tuple1 && tuple2 && tuple1->size() == tuple2->size()) {
|
|
std::vector<TypePtr> types_lca;
|
|
types_lca.reserve(tuple1->size());
|
|
for (int i = 0; i < tuple1->size(); ++i) {
|
|
TypePtr next = calculate_type_lca(tuple1->items[i], tuple2->items[i]);
|
|
if (next == nullptr) {
|
|
return nullptr;
|
|
}
|
|
types_lca.push_back(next);
|
|
}
|
|
return TypeDataTypedTuple::create(std::move(types_lca));
|
|
}
|
|
|
|
return nullptr;
|
|
}
|
|
|
|
public:
|
|
bool unify_with(TypePtr next) {
|
|
if (unified_result == nullptr) {
|
|
unified_result = next;
|
|
return true;
|
|
}
|
|
if (unified_result == next) {
|
|
return true;
|
|
}
|
|
|
|
TypePtr combined = calculate_type_lca(unified_result, next);
|
|
if (!combined) {
|
|
return false;
|
|
}
|
|
|
|
unified_result = combined;
|
|
return true;
|
|
}
|
|
|
|
bool unify_with_implicit_return_void() {
|
|
if (unified_result == nullptr) {
|
|
unified_result = TypeDataVoid::create();
|
|
return true;
|
|
}
|
|
|
|
return unified_result == TypeDataVoid::create();
|
|
}
|
|
|
|
TypePtr get_result() const { return unified_result; }
|
|
};
|
|
|
|
// handle __expect_type(expr, "type") call
|
|
// this is used in compiler tests
|
|
GNU_ATTRIBUTE_NOINLINE GNU_ATTRIBUTE_COLD
|
|
static void handle_possible_compiler_internal_call(const FunctionData* current_function, V<ast_function_call> v) {
|
|
const FunctionData* fun_ref = v->fun_maybe;
|
|
tolk_assert(fun_ref && fun_ref->is_builtin_function());
|
|
static_cast<void>(current_function);
|
|
|
|
if (fun_ref->name == "__expect_type") {
|
|
tolk_assert(v->get_num_args() == 2);
|
|
TypePtr expected_type = parse_type_from_string(v->get_arg(1)->get_expr()->as<ast_string_const>()->str_val);
|
|
TypePtr expr_type = v->get_arg(0)->inferred_type;
|
|
if (expected_type != expr_type) {
|
|
v->error("__expect_type failed: expected " + to_string(expected_type) + ", got " + to_string(expr_type));
|
|
}
|
|
}
|
|
}
|
|
|
|
/*
|
|
* This class handles all types of AST vertices and traverses them, filling all AnyExprV::inferred_type.
|
|
* Note, that it isn't derived from ASTVisitor, it has manual `switch` over all existing vertex types.
|
|
* There are two reasons for this:
|
|
* 1) when a new AST node type is introduced, I want it to fail here, not to be left un-inferred with UB at next steps
|
|
* 2) easy to maintain a hint (see comments at the top of the file)
|
|
*/
|
|
class InferCheckTypesAndCallsAndFieldsVisitor final {
|
|
const FunctionData* current_function = nullptr;
|
|
TypeInferringUnifyStrategy return_unifier;
|
|
|
|
GNU_ATTRIBUTE_ALWAYS_INLINE
|
|
static void assign_inferred_type(AnyExprV dst, AnyExprV src) {
|
|
#ifdef TOLK_DEBUG
|
|
tolk_assert(src->inferred_type != nullptr && !src->inferred_type->has_unresolved_inside() && !src->inferred_type->has_genericT_inside());
|
|
#endif
|
|
dst->mutate()->assign_inferred_type(src->inferred_type);
|
|
}
|
|
|
|
GNU_ATTRIBUTE_ALWAYS_INLINE
|
|
static void assign_inferred_type(AnyExprV dst, TypePtr inferred_type) {
|
|
#ifdef TOLK_DEBUG
|
|
tolk_assert(inferred_type != nullptr && !inferred_type->has_unresolved_inside() && !inferred_type->has_genericT_inside());
|
|
#endif
|
|
dst->mutate()->assign_inferred_type(inferred_type);
|
|
}
|
|
|
|
static void assign_inferred_type(const LocalVarData* local_var_or_param, TypePtr inferred_type) {
|
|
#ifdef TOLK_DEBUG
|
|
tolk_assert(inferred_type != nullptr && !inferred_type->has_unresolved_inside() && !inferred_type->has_genericT_inside());
|
|
#endif
|
|
local_var_or_param->mutate()->assign_inferred_type(inferred_type);
|
|
}
|
|
|
|
static void assign_inferred_type(const FunctionData* fun_ref, TypePtr inferred_return_type, TypePtr inferred_full_type) {
|
|
#ifdef TOLK_DEBUG
|
|
tolk_assert(inferred_return_type != nullptr && !inferred_return_type->has_unresolved_inside() && !inferred_return_type->has_genericT_inside());
|
|
#endif
|
|
fun_ref->mutate()->assign_inferred_type(inferred_return_type, inferred_full_type);
|
|
}
|
|
|
|
// traverse children in any statement
|
|
void process_any_statement(AnyV v) {
|
|
switch (v->type) {
|
|
case ast_sequence:
|
|
return process_sequence(v->as<ast_sequence>());
|
|
case ast_return_statement:
|
|
return process_return_statement(v->as<ast_return_statement>());
|
|
case ast_if_statement:
|
|
return process_if_statement(v->as<ast_if_statement>());
|
|
case ast_repeat_statement:
|
|
return process_repeat_statement(v->as<ast_repeat_statement>());
|
|
case ast_while_statement:
|
|
return process_while_statement(v->as<ast_while_statement>());
|
|
case ast_do_while_statement:
|
|
return process_do_while_statement(v->as<ast_do_while_statement>());
|
|
case ast_throw_statement:
|
|
return process_throw_statement(v->as<ast_throw_statement>());
|
|
case ast_assert_statement:
|
|
return process_assert_statement(v->as<ast_assert_statement>());
|
|
case ast_try_catch_statement:
|
|
return process_try_catch_statement(v->as<ast_try_catch_statement>());
|
|
case ast_empty_statement:
|
|
return;
|
|
default:
|
|
infer_any_expr(reinterpret_cast<AnyExprV>(v));
|
|
}
|
|
}
|
|
|
|
// assigns inferred_type for any expression (by calling assign_inferred_type)
|
|
void infer_any_expr(AnyExprV v, TypePtr hint = nullptr) {
|
|
switch (v->type) {
|
|
case ast_int_const:
|
|
return infer_int_const(v->as<ast_int_const>());
|
|
case ast_string_const:
|
|
return infer_string_const(v->as<ast_string_const>());
|
|
case ast_bool_const:
|
|
return infer_bool_const(v->as<ast_bool_const>());
|
|
case ast_local_vars_declaration:
|
|
return infer_local_vars_declaration(v->as<ast_local_vars_declaration>());
|
|
case ast_assign:
|
|
return infer_assignment(v->as<ast_assign>());
|
|
case ast_set_assign:
|
|
return infer_set_assign(v->as<ast_set_assign>());
|
|
case ast_unary_operator:
|
|
return infer_unary_operator(v->as<ast_unary_operator>());
|
|
case ast_binary_operator:
|
|
return infer_binary_operator(v->as<ast_binary_operator>());
|
|
case ast_ternary_operator:
|
|
return infer_ternary_operator(v->as<ast_ternary_operator>(), hint);
|
|
case ast_cast_as_operator:
|
|
return infer_cast_as_operator(v->as<ast_cast_as_operator>());
|
|
case ast_parenthesized_expression:
|
|
return infer_parenthesized(v->as<ast_parenthesized_expression>(), hint);
|
|
case ast_reference:
|
|
return infer_reference(v->as<ast_reference>());
|
|
case ast_dot_access:
|
|
return infer_dot_access(v->as<ast_dot_access>(), hint);
|
|
case ast_function_call:
|
|
return infer_function_call(v->as<ast_function_call>(), hint);
|
|
case ast_tensor:
|
|
return infer_tensor(v->as<ast_tensor>(), hint);
|
|
case ast_typed_tuple:
|
|
return infer_typed_tuple(v->as<ast_typed_tuple>(), hint);
|
|
case ast_null_keyword:
|
|
return infer_null_keyword(v->as<ast_null_keyword>());
|
|
case ast_underscore:
|
|
return infer_underscore(v->as<ast_underscore>(), hint);
|
|
case ast_empty_expression:
|
|
return infer_empty_expression(v->as<ast_empty_expression>());
|
|
default:
|
|
throw UnexpectedASTNodeType(v, "infer_any_expr");
|
|
}
|
|
}
|
|
|
|
static bool expect_integer(AnyExprV v_inferred) {
|
|
return v_inferred->inferred_type == TypeDataInt::create();
|
|
}
|
|
|
|
static bool expect_boolean(AnyExprV v_inferred) {
|
|
return v_inferred->inferred_type == TypeDataBool::create();
|
|
}
|
|
|
|
static void infer_int_const(V<ast_int_const> v) {
|
|
assign_inferred_type(v, TypeDataInt::create());
|
|
}
|
|
|
|
static void infer_string_const(V<ast_string_const> v) {
|
|
if (v->is_bitslice()) {
|
|
assign_inferred_type(v, TypeDataSlice::create());
|
|
} else {
|
|
assign_inferred_type(v, TypeDataInt::create());
|
|
}
|
|
}
|
|
|
|
static void infer_bool_const(V<ast_bool_const> v) {
|
|
assign_inferred_type(v, TypeDataBool::create());
|
|
}
|
|
|
|
static void infer_local_vars_declaration(V<ast_local_vars_declaration>) {
|
|
// it can not appear as a standalone expression
|
|
// `var ... = rhs` is handled by ast_assign
|
|
tolk_assert(false);
|
|
}
|
|
|
|
void infer_assignment(V<ast_assign> v) {
|
|
// v is assignment: `x = 5` / `var x = 5` / `var x: slice = 5` / `(cs,_) = f()` / `val (a,[b],_) = (a,t,0)`
|
|
// it's a tricky node to handle, because to infer rhs, at first we need to create hint from lhs
|
|
// and then to apply/check inferred rhs onto lhs
|
|
// about a hint: `var i: int = t.tupleAt(0)` is ok, but `var i = t.tupleAt(0)` not, since `tupleAt<T>(t,i): T`
|
|
AnyExprV lhs = v->get_lhs();
|
|
AnyExprV rhs = v->get_rhs();
|
|
infer_any_expr(rhs, calc_hint_from_assignment_lhs(lhs));
|
|
process_assignment_lhs_after_infer_rhs(lhs, rhs->inferred_type, rhs);
|
|
assign_inferred_type(v, lhs);
|
|
}
|
|
|
|
// having assignment like `var (i: int, s) = rhs` (its lhs is local vars declaration),
|
|
// create a contextual infer hint for rhs, `(int, unknown)` in this case
|
|
// this hint helps to deduce generics and to resolve unknown types while inferring rhs
|
|
static TypePtr calc_hint_from_assignment_lhs(AnyExprV lhs) {
|
|
// `var ... = rhs` - dig into left part
|
|
if (auto lhs_decl = lhs->try_as<ast_local_vars_declaration>()) {
|
|
return calc_hint_from_assignment_lhs(lhs_decl->get_expr());
|
|
}
|
|
|
|
// inside `var v: int = rhs` / `var _ = rhs` / `var v redef = rhs` (lhs is "v" / "_" / "v")
|
|
if (auto lhs_var = lhs->try_as<ast_local_var_lhs>()) {
|
|
if (lhs_var->marked_as_redef) {
|
|
return lhs_var->var_ref->declared_type;
|
|
}
|
|
if (lhs_var->declared_type) {
|
|
return lhs_var->declared_type;
|
|
}
|
|
return TypeDataUnknown::create();
|
|
}
|
|
|
|
// `v = rhs` / `(c1, c2) = rhs` (lhs is "v" / "_" / "c1" / "c2" after recursion)
|
|
if (auto lhs_ref = lhs->try_as<ast_reference>()) {
|
|
if (const auto* var_ref = lhs_ref->sym->try_as<LocalVarData>()) {
|
|
return var_ref->declared_type;
|
|
}
|
|
if (const auto* glob_ref = lhs_ref->sym->try_as<GlobalVarData>()) {
|
|
return glob_ref->declared_type;
|
|
}
|
|
return TypeDataUnknown::create();
|
|
}
|
|
|
|
// `(v1, v2) = rhs` / `var (v1, v2) = rhs`
|
|
if (auto lhs_tensor = lhs->try_as<ast_tensor>()) {
|
|
std::vector<TypePtr> sub_hints;
|
|
sub_hints.reserve(lhs_tensor->size());
|
|
for (AnyExprV item : lhs_tensor->get_items()) {
|
|
sub_hints.push_back(calc_hint_from_assignment_lhs(item));
|
|
}
|
|
return TypeDataTensor::create(std::move(sub_hints));
|
|
}
|
|
|
|
// `[v1, v2] = rhs` / `var [v1, v2] = rhs`
|
|
if (auto lhs_tuple = lhs->try_as<ast_typed_tuple>()) {
|
|
std::vector<TypePtr> sub_hints;
|
|
sub_hints.reserve(lhs_tuple->size());
|
|
for (AnyExprV item : lhs_tuple->get_items()) {
|
|
sub_hints.push_back(calc_hint_from_assignment_lhs(item));
|
|
}
|
|
return TypeDataTypedTuple::create(std::move(sub_hints));
|
|
}
|
|
|
|
// `a.0 = rhs` / `b.1.0 = rhs` (remember, its target is not assigned yet)
|
|
if (auto lhs_dot = lhs->try_as<ast_dot_access>()) {
|
|
TypePtr obj_hint = calc_hint_from_assignment_lhs(lhs_dot->get_obj());
|
|
std::string_view field_name = lhs_dot->get_field_name();
|
|
if (field_name[0] >= '0' && field_name[0] <= '9') {
|
|
int index_at = std::stoi(std::string(field_name));
|
|
if (const auto* t_tensor = obj_hint->try_as<TypeDataTensor>(); t_tensor && index_at < t_tensor->size()) {
|
|
return t_tensor->items[index_at];
|
|
}
|
|
if (const auto* t_tuple = obj_hint->try_as<TypeDataTypedTuple>(); t_tuple && index_at < t_tuple->size()) {
|
|
return t_tuple->items[index_at];
|
|
}
|
|
}
|
|
return TypeDataUnknown::create();
|
|
}
|
|
|
|
return TypeDataUnknown::create();
|
|
}
|
|
|
|
// handle (and dig recursively) into `var lhs = rhs`
|
|
// examples: `var z = 5`, `var (x, [y]) = (2, [3])`, `var (x, [y]) = xy`
|
|
// while recursing, keep track of rhs if lhs and rhs have common shape (5 for z, 2 for x, [3] for [y], 3 for y)
|
|
// (so that on type mismatch, point to corresponding rhs, example: `var (x, y:slice) = (1, 2)` point to 2
|
|
void process_assignment_lhs_after_infer_rhs(AnyExprV lhs, TypePtr rhs_type, AnyExprV corresponding_maybe_rhs) {
|
|
AnyExprV err_loc = corresponding_maybe_rhs ? corresponding_maybe_rhs : lhs;
|
|
|
|
// `var ... = rhs` - dig into left part
|
|
if (auto lhs_decl = lhs->try_as<ast_local_vars_declaration>()) {
|
|
process_assignment_lhs_after_infer_rhs(lhs_decl->get_expr(), rhs_type, corresponding_maybe_rhs);
|
|
assign_inferred_type(lhs, lhs_decl->get_expr()->inferred_type);
|
|
return;
|
|
}
|
|
|
|
// inside `var v: int = rhs` / `var _ = rhs` / `var v redef = rhs` (lhs is "v" / "_" / "v")
|
|
if (auto lhs_var = lhs->try_as<ast_local_var_lhs>()) {
|
|
TypePtr declared_type = lhs_var->declared_type; // `var v: int = rhs` (otherwise, nullptr)
|
|
if (lhs_var->marked_as_redef) {
|
|
tolk_assert(lhs_var->var_ref && lhs_var->var_ref->declared_type);
|
|
declared_type = lhs_var->var_ref->declared_type;
|
|
}
|
|
if (declared_type) {
|
|
if (!declared_type->can_rhs_be_assigned(rhs_type)) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + " to variable of type " + to_string(declared_type));
|
|
}
|
|
assign_inferred_type(lhs, declared_type);
|
|
} else {
|
|
if (rhs_type == TypeDataNullLiteral::create()) {
|
|
fire_error_assign_always_null_to_variable(err_loc->loc, lhs_var->var_ref->try_as<LocalVarData>(), corresponding_maybe_rhs && corresponding_maybe_rhs->type == ast_null_keyword);
|
|
}
|
|
assign_inferred_type(lhs, rhs_type);
|
|
assign_inferred_type(lhs_var->var_ref, lhs_var->inferred_type);
|
|
}
|
|
return;
|
|
}
|
|
|
|
// `v = rhs` / `(c1, c2) = rhs` (lhs is "v" / "_" / "c1" / "c2" after recursion)
|
|
if (lhs->try_as<ast_reference>()) {
|
|
infer_any_expr(lhs);
|
|
if (!lhs->inferred_type->can_rhs_be_assigned(rhs_type)) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + " to variable of type " + to_string(lhs));
|
|
}
|
|
return;
|
|
}
|
|
|
|
// `(v1, v2) = rhs` / `var (v1, v2) = rhs` (rhs may be `(1,2)` or `tensorVar` or `someF()`, doesn't matter)
|
|
// dig recursively into v1 and v2 with corresponding rhs i-th item of a tensor
|
|
if (auto lhs_tensor = lhs->try_as<ast_tensor>()) {
|
|
const TypeDataTensor* rhs_type_tensor = rhs_type->try_as<TypeDataTensor>();
|
|
if (!rhs_type_tensor) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + " to a tensor");
|
|
}
|
|
if (lhs_tensor->size() != rhs_type_tensor->size()) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + ", sizes mismatch");
|
|
}
|
|
V<ast_tensor> rhs_tensor_maybe = corresponding_maybe_rhs ? corresponding_maybe_rhs->try_as<ast_tensor>() : nullptr;
|
|
std::vector<TypePtr> types_list;
|
|
types_list.reserve(lhs_tensor->size());
|
|
for (int i = 0; i < lhs_tensor->size(); ++i) {
|
|
process_assignment_lhs_after_infer_rhs(lhs_tensor->get_item(i), rhs_type_tensor->items[i], rhs_tensor_maybe ? rhs_tensor_maybe->get_item(i) : nullptr);
|
|
types_list.push_back(lhs_tensor->get_item(i)->inferred_type);
|
|
}
|
|
assign_inferred_type(lhs, TypeDataTensor::create(std::move(types_list)));
|
|
return;
|
|
}
|
|
|
|
// `[v1, v2] = rhs` / `var [v1, v2] = rhs` (rhs may be `[1,2]` or `tupleVar` or `someF()`, doesn't matter)
|
|
// dig recursively into v1 and v2 with corresponding rhs i-th item of a tuple
|
|
if (auto lhs_tuple = lhs->try_as<ast_typed_tuple>()) {
|
|
const TypeDataTypedTuple* rhs_type_tuple = rhs_type->try_as<TypeDataTypedTuple>();
|
|
if (!rhs_type_tuple) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + " to a tuple");
|
|
}
|
|
if (lhs_tuple->size() != rhs_type_tuple->size()) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + ", sizes mismatch");
|
|
}
|
|
V<ast_typed_tuple> rhs_tuple_maybe = corresponding_maybe_rhs ? corresponding_maybe_rhs->try_as<ast_typed_tuple>() : nullptr;
|
|
std::vector<TypePtr> types_list;
|
|
types_list.reserve(lhs_tuple->size());
|
|
for (int i = 0; i < lhs_tuple->size(); ++i) {
|
|
process_assignment_lhs_after_infer_rhs(lhs_tuple->get_item(i), rhs_type_tuple->items[i], rhs_tuple_maybe ? rhs_tuple_maybe->get_item(i) : nullptr);
|
|
types_list.push_back(lhs_tuple->get_item(i)->inferred_type);
|
|
}
|
|
assign_inferred_type(lhs, TypeDataTypedTuple::create(std::move(types_list)));
|
|
return;
|
|
}
|
|
|
|
// `_ = rhs`
|
|
if (lhs->type == ast_underscore) {
|
|
assign_inferred_type(lhs, TypeDataUnknown::create());
|
|
return;
|
|
}
|
|
|
|
// here is something unhandled like `a.0 = rhs`, run regular inferring on rhs
|
|
// for something strange like `f() = rhs` type inferring will pass, but will fail later
|
|
infer_any_expr(lhs, rhs_type);
|
|
if (!lhs->inferred_type->can_rhs_be_assigned(rhs_type)) {
|
|
err_loc->error("can not assign " + to_string(rhs_type) + " to " + to_string(lhs));
|
|
}
|
|
}
|
|
|
|
void infer_set_assign(V<ast_set_assign> v) {
|
|
AnyExprV lhs = v->get_lhs();
|
|
AnyExprV rhs = v->get_rhs();
|
|
infer_any_expr(lhs);
|
|
infer_any_expr(rhs, lhs->inferred_type);
|
|
|
|
// almost all operators implementation is hardcoded by built-in functions `_+_` and similar
|
|
std::string_view builtin_func = v->operator_name; // "+" for operator +=
|
|
|
|
switch (v->tok) {
|
|
// &= |= ^= are "overloaded" both for integers and booleans, (int &= bool) is NOT allowed
|
|
case tok_set_bitwise_and:
|
|
case tok_set_bitwise_or:
|
|
case tok_set_bitwise_xor: {
|
|
bool both_int = expect_integer(lhs) && expect_integer(rhs);
|
|
bool both_bool = expect_boolean(lhs) && expect_boolean(rhs);
|
|
if (!both_int && !both_bool) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
break;
|
|
}
|
|
// others are mathematical: += *= ...
|
|
default:
|
|
if (!expect_integer(lhs) || !expect_integer(rhs)) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
}
|
|
|
|
assign_inferred_type(v, lhs);
|
|
if (!builtin_func.empty()) {
|
|
const FunctionData* builtin_sym = lookup_global_symbol("_" + static_cast<std::string>(builtin_func) + "_")->as<FunctionData>();
|
|
tolk_assert(builtin_sym);
|
|
v->mutate()->assign_fun_ref(builtin_sym);
|
|
}
|
|
}
|
|
|
|
void infer_unary_operator(V<ast_unary_operator> v) {
|
|
AnyExprV rhs = v->get_rhs();
|
|
infer_any_expr(rhs);
|
|
|
|
// all operators implementation is hardcoded by built-in functions `~_` and similar
|
|
std::string_view builtin_func = v->operator_name;
|
|
|
|
switch (v->tok) {
|
|
case tok_minus:
|
|
case tok_plus:
|
|
case tok_bitwise_not:
|
|
if (!expect_integer(rhs)) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, rhs);
|
|
}
|
|
assign_inferred_type(v, TypeDataInt::create());
|
|
break;
|
|
case tok_logical_not:
|
|
if (expect_boolean(rhs)) {
|
|
builtin_func = "!b"; // "overloaded" for bool
|
|
} else if (!expect_integer(rhs)) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, rhs);
|
|
}
|
|
assign_inferred_type(v, TypeDataBool::create());
|
|
break;
|
|
default:
|
|
tolk_assert(false);
|
|
}
|
|
|
|
if (!builtin_func.empty()) {
|
|
const FunctionData* builtin_sym = lookup_global_symbol(static_cast<std::string>(builtin_func) + "_")->as<FunctionData>();
|
|
tolk_assert(builtin_sym);
|
|
v->mutate()->assign_fun_ref(builtin_sym);
|
|
}
|
|
}
|
|
|
|
void infer_binary_operator(V<ast_binary_operator> v) {
|
|
AnyExprV lhs = v->get_lhs();
|
|
AnyExprV rhs = v->get_rhs();
|
|
infer_any_expr(lhs);
|
|
infer_any_expr(rhs);
|
|
|
|
// almost all operators implementation is hardcoded by built-in functions `_+_` and similar
|
|
std::string_view builtin_func = v->operator_name;
|
|
|
|
switch (v->tok) {
|
|
// == != can compare both integers and booleans, (int == bool) is NOT allowed
|
|
case tok_eq:
|
|
case tok_neq: {
|
|
bool both_int = expect_integer(lhs) && expect_integer(rhs);
|
|
bool both_bool = expect_boolean(lhs) && expect_boolean(rhs);
|
|
if (!both_int && !both_bool) {
|
|
if (lhs->inferred_type == rhs->inferred_type) { // compare slice with slice
|
|
v->error("type " + to_string(lhs) + " can not be compared with `== !=`");
|
|
} else {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
}
|
|
assign_inferred_type(v, TypeDataBool::create());
|
|
break;
|
|
}
|
|
// < > can compare only integers
|
|
case tok_lt:
|
|
case tok_gt:
|
|
case tok_leq:
|
|
case tok_geq:
|
|
case tok_spaceship: {
|
|
if (!expect_integer(lhs) || !expect_integer(rhs)) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
assign_inferred_type(v, TypeDataBool::create());
|
|
break;
|
|
}
|
|
// & | ^ are "overloaded" both for integers and booleans, (int & bool) is NOT allowed
|
|
case tok_bitwise_and:
|
|
case tok_bitwise_or:
|
|
case tok_bitwise_xor: {
|
|
bool both_int = expect_integer(lhs) && expect_integer(rhs);
|
|
bool both_bool = expect_boolean(lhs) && expect_boolean(rhs);
|
|
if (!both_int && !both_bool) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
assign_inferred_type(v, rhs); // (int & int) is int, (bool & bool) is bool
|
|
break;
|
|
}
|
|
// && || can work with integers and booleans, (int && bool) is allowed
|
|
case tok_logical_and:
|
|
case tok_logical_or: {
|
|
bool lhs_ok = expect_integer(lhs) || expect_boolean(lhs);
|
|
bool rhs_ok = expect_integer(rhs) || expect_boolean(rhs);
|
|
if (!lhs_ok || !rhs_ok) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
assign_inferred_type(v, TypeDataBool::create());
|
|
builtin_func = {}; // no built-in functions, logical operators are expressed as IFs at IR level
|
|
break;
|
|
}
|
|
// others are mathematical: + * ...
|
|
default:
|
|
if (!expect_integer(lhs) || !expect_integer(rhs)) {
|
|
fire_error_cannot_apply_operator(v->loc, v->operator_name, lhs, rhs);
|
|
}
|
|
assign_inferred_type(v, TypeDataInt::create());
|
|
}
|
|
|
|
if (!builtin_func.empty()) {
|
|
const FunctionData* builtin_sym = lookup_global_symbol("_" + static_cast<std::string>(builtin_func) + "_")->as<FunctionData>();
|
|
tolk_assert(builtin_sym);
|
|
v->mutate()->assign_fun_ref(builtin_sym);
|
|
}
|
|
}
|
|
|
|
void infer_ternary_operator(V<ast_ternary_operator> v, TypePtr hint) {
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond) && !expect_boolean(cond)) {
|
|
cond->error("can not use " + to_string(cond) + " as a boolean condition");
|
|
}
|
|
infer_any_expr(v->get_when_true(), hint);
|
|
infer_any_expr(v->get_when_false(), hint);
|
|
|
|
TypeInferringUnifyStrategy tern_type;
|
|
tern_type.unify_with(v->get_when_true()->inferred_type);
|
|
if (!tern_type.unify_with(v->get_when_false()->inferred_type)) {
|
|
v->error("types of ternary branches are incompatible");
|
|
}
|
|
assign_inferred_type(v, tern_type.get_result());
|
|
}
|
|
|
|
void infer_cast_as_operator(V<ast_cast_as_operator> v) {
|
|
// for `expr as <type>`, use this type for hint, so that `t.tupleAt(0) as int` is ok
|
|
infer_any_expr(v->get_expr(), v->cast_to_type);
|
|
if (!v->get_expr()->inferred_type->can_be_casted_with_as_operator(v->cast_to_type)) {
|
|
v->error("type " + to_string(v->get_expr()) + " can not be cast to " + to_string(v->cast_to_type));
|
|
}
|
|
assign_inferred_type(v, v->cast_to_type);
|
|
}
|
|
|
|
void infer_parenthesized(V<ast_parenthesized_expression> v, TypePtr hint) {
|
|
infer_any_expr(v->get_expr(), hint);
|
|
assign_inferred_type(v, v->get_expr());
|
|
}
|
|
|
|
static void infer_reference(V<ast_reference> v) {
|
|
if (const auto* var_ref = v->sym->try_as<LocalVarData>()) {
|
|
assign_inferred_type(v, var_ref->declared_type);
|
|
|
|
} else if (const auto* const_ref = v->sym->try_as<GlobalConstData>()) {
|
|
assign_inferred_type(v, const_ref->is_int_const() ? TypeDataInt::create() : TypeDataSlice::create());
|
|
|
|
} else if (const auto* glob_ref = v->sym->try_as<GlobalVarData>()) {
|
|
assign_inferred_type(v, glob_ref->declared_type);
|
|
|
|
} else if (const auto* fun_ref = v->sym->try_as<FunctionData>()) {
|
|
// it's `globalF` / `globalF<int>` - references to functions used as non-call
|
|
V<ast_instantiationT_list> v_instantiationTs = v->get_instantiationTs();
|
|
|
|
if (fun_ref->is_generic_function() && !v_instantiationTs) {
|
|
// `genericFn` is invalid as non-call, can't be used without <instantiation>
|
|
v->error("can not use a generic function " + to_string(fun_ref) + " as non-call");
|
|
|
|
} else if (fun_ref->is_generic_function()) {
|
|
// `genericFn<int>` is valid, it's a reference to instantiation
|
|
std::vector<TypePtr> substitutions = collect_fun_generic_substitutions_from_manually_specified(v->loc, fun_ref, v_instantiationTs);
|
|
fun_ref = check_and_instantiate_generic_function(v->loc, fun_ref, std::move(substitutions));
|
|
v->mutate()->assign_sym(fun_ref);
|
|
|
|
} else if (UNLIKELY(v_instantiationTs != nullptr)) {
|
|
// non-generic function referenced like `return beginCell<builder>;`
|
|
v_instantiationTs->error("not generic function used with generic T");
|
|
}
|
|
|
|
fun_ref->mutate()->assign_is_used_as_noncall();
|
|
get_or_infer_return_type(fun_ref);
|
|
assign_inferred_type(v, fun_ref->inferred_full_type);
|
|
return;
|
|
|
|
} else {
|
|
tolk_assert(false);
|
|
}
|
|
|
|
// for non-functions: `local_var<int>` and similar not allowed
|
|
if (UNLIKELY(v->has_instantiationTs())) {
|
|
v->get_instantiationTs()->error("generic T not expected here");
|
|
}
|
|
}
|
|
|
|
// given `genericF<int, slice>` / `t.tupleFirst<cell>` (the user manually specified instantiation Ts),
|
|
// validate and collect them
|
|
// returns: [int, slice] / [cell]
|
|
static std::vector<TypePtr> collect_fun_generic_substitutions_from_manually_specified(SrcLocation loc, const FunctionData* fun_ref, V<ast_instantiationT_list> instantiationT_list) {
|
|
if (fun_ref->genericTs->size() != instantiationT_list->get_items().size()) {
|
|
throw ParseError(loc, "wrong count of generic T: expected " + std::to_string(fun_ref->genericTs->size()) + ", got " + std::to_string(instantiationT_list->size()));
|
|
}
|
|
|
|
std::vector<TypePtr> substitutions;
|
|
substitutions.reserve(instantiationT_list->size());
|
|
for (int i = 0; i < instantiationT_list->size(); ++i) {
|
|
substitutions.push_back(instantiationT_list->get_item(i)->substituted_type);
|
|
}
|
|
|
|
return substitutions;
|
|
}
|
|
|
|
// when generic Ts have been collected from user-specified or deduced from arguments,
|
|
// instantiate a generic function
|
|
// example: was `t.tuplePush(2)`, deduced <int>, instantiate `tuplePush<int>`
|
|
// example: was `t.tuplePush<slice>(2)`, read <slice>, instantiate `tuplePush<slice>` (will later fail type check)
|
|
// example: was `var cb = t.tupleFirst<int>;` (used as reference, as non-call), instantiate `tupleFirst<int>`
|
|
// returns fun_ref to instantiated function
|
|
static const FunctionData* check_and_instantiate_generic_function(SrcLocation loc, const FunctionData* fun_ref, std::vector<TypePtr>&& substitutionTs) {
|
|
// T for asm function must be a TVM primitive (width 1), otherwise, asm would act incorrectly
|
|
if (fun_ref->is_asm_function() || fun_ref->is_builtin_function()) {
|
|
for (int i = 0; i < static_cast<int>(substitutionTs.size()); ++i) {
|
|
if (substitutionTs[i]->calc_width_on_stack() != 1) {
|
|
fire_error_calling_asm_function_with_non1_stack_width_arg(loc, fun_ref, substitutionTs, i);
|
|
}
|
|
}
|
|
}
|
|
|
|
std::string inst_name = generate_instantiated_name(fun_ref->name, substitutionTs);
|
|
try {
|
|
// make deep clone of `f<T>` with substitutionTs
|
|
// (if `f<int>` was already instantiated, it will be immediately returned from a symbol table)
|
|
return instantiate_generic_function(loc, fun_ref, inst_name, std::move(substitutionTs));
|
|
} catch (const ParseError& ex) {
|
|
throw ParseError(ex.where, "while instantiating generic function `" + inst_name + "` at " + loc.to_string() + ": " + ex.message);
|
|
}
|
|
}
|
|
|
|
void infer_dot_access(V<ast_dot_access> v, TypePtr hint) {
|
|
// it's NOT a method call `t.tupleSize()` (since such cases are handled by infer_function_call)
|
|
// it's `t.0`, `getUser().id`, and `t.tupleSize` (as a reference, not as a call)
|
|
infer_any_expr(v->get_obj());
|
|
TypePtr obj_type = v->get_obj()->inferred_type;
|
|
// our goal is to fill v->target knowing type of obj
|
|
V<ast_identifier> v_ident = v->get_identifier(); // field/method name vertex
|
|
V<ast_instantiationT_list> v_instantiationTs = v->get_instantiationTs();
|
|
std::string_view field_name = v_ident->name;
|
|
|
|
// it can be indexed access (`tensorVar.0`, `tupleVar.1`) or a method (`t.tupleSize`)
|
|
// at first, check for indexed access
|
|
if (field_name[0] >= '0' && field_name[0] <= '9') {
|
|
int index_at = std::stoi(std::string(field_name));
|
|
if (const auto* t_tensor = obj_type->try_as<TypeDataTensor>()) {
|
|
if (index_at >= t_tensor->size()) {
|
|
v_ident->error("invalid tensor index, expected 0.." + std::to_string(t_tensor->items.size() - 1));
|
|
}
|
|
v->mutate()->assign_target(index_at);
|
|
assign_inferred_type(v, t_tensor->items[index_at]);
|
|
return;
|
|
}
|
|
if (const auto* t_tuple = obj_type->try_as<TypeDataTypedTuple>()) {
|
|
if (index_at >= t_tuple->size()) {
|
|
v_ident->error("invalid tuple index, expected 0.." + std::to_string(t_tuple->items.size() - 1));
|
|
}
|
|
v->mutate()->assign_target(index_at);
|
|
assign_inferred_type(v, t_tuple->items[index_at]);
|
|
return;
|
|
}
|
|
if (obj_type->try_as<TypeDataTuple>()) {
|
|
if (hint == nullptr) {
|
|
fire_error_cannot_deduce_untyped_tuple_access(v->loc, index_at);
|
|
}
|
|
if (hint->calc_width_on_stack() != 1) {
|
|
fire_error_cannot_put_non1_stack_width_arg_to_tuple(v->loc, hint);
|
|
}
|
|
v->mutate()->assign_target(index_at);
|
|
assign_inferred_type(v, hint);
|
|
return;
|
|
}
|
|
v_ident->error("type " + to_string(obj_type) + " is not indexable");
|
|
}
|
|
|
|
// for now, Tolk doesn't have fields and object-scoped methods; `t.tupleSize` is a global function `tupleSize`
|
|
const Symbol* sym = lookup_global_symbol(field_name);
|
|
const FunctionData* fun_ref = sym ? sym->try_as<FunctionData>() : nullptr;
|
|
if (!fun_ref) {
|
|
v_ident->error("non-existing field `" + static_cast<std::string>(field_name) + "` of type " + to_string(obj_type));
|
|
}
|
|
|
|
// `t.tupleSize` is ok, `cs.tupleSize` not
|
|
if (!fun_ref->parameters[0].declared_type->can_rhs_be_assigned(obj_type)) {
|
|
v_ident->error("referencing a method for " + to_string(fun_ref->parameters[0]) + " with object of type " + to_string(obj_type));
|
|
}
|
|
|
|
if (fun_ref->is_generic_function() && !v_instantiationTs) {
|
|
// `genericFn` and `t.tupleAt` are invalid as non-call, they can't be used without <instantiation>
|
|
v->error("can not use a generic function " + to_string(fun_ref) + " as non-call");
|
|
|
|
} else if (fun_ref->is_generic_function()) {
|
|
// `t.tupleAt<slice>` is valid, it's a reference to instantiation
|
|
std::vector<TypePtr> substitutions = collect_fun_generic_substitutions_from_manually_specified(v->loc, fun_ref, v_instantiationTs);
|
|
fun_ref = check_and_instantiate_generic_function(v->loc, fun_ref, std::move(substitutions));
|
|
|
|
} else if (UNLIKELY(v_instantiationTs != nullptr)) {
|
|
// non-generic method referenced like `var cb = c.cellHash<int>;`
|
|
v_instantiationTs->error("not generic function used with generic T");
|
|
}
|
|
|
|
fun_ref->mutate()->assign_is_used_as_noncall();
|
|
v->mutate()->assign_target(fun_ref);
|
|
get_or_infer_return_type(fun_ref);
|
|
assign_inferred_type(v, fun_ref->inferred_full_type); // type of `t.tupleSize` is TypeDataFunCallable
|
|
}
|
|
|
|
void infer_function_call(V<ast_function_call> v, TypePtr hint) {
|
|
AnyExprV callee = v->get_callee();
|
|
|
|
// v is `globalF(args)` / `globalF<int>(args)` / `obj.method(args)` / `local_var(args)` / `getF()(args)`
|
|
int delta_self = 0;
|
|
AnyExprV dot_obj = nullptr;
|
|
const FunctionData* fun_ref = nullptr;
|
|
V<ast_instantiationT_list> v_instantiationTs = nullptr;
|
|
|
|
if (auto v_ref = callee->try_as<ast_reference>()) {
|
|
// `globalF()` / `globalF<int>()` / `local_var()` / `SOME_CONST()`
|
|
fun_ref = v_ref->sym->try_as<FunctionData>(); // not null for `globalF`
|
|
v_instantiationTs = v_ref->get_instantiationTs(); // present for `globalF<int>()`
|
|
|
|
} else if (auto v_dot = callee->try_as<ast_dot_access>()) {
|
|
// `obj.someMethod()` / `obj.someMethod<int>()` / `getF().someMethod()` / `obj.SOME_CONST()`
|
|
// note, that dot_obj->target is not filled yet, since callee was not inferred yet
|
|
delta_self = 1;
|
|
dot_obj = v_dot->get_obj();
|
|
v_instantiationTs = v_dot->get_instantiationTs(); // present for `obj.someMethod<int>()`
|
|
infer_any_expr(dot_obj);
|
|
|
|
// it can be indexed access (`tensorVar.0()`, `tupleVar.1()`) or a method (`t.tupleSize()`)
|
|
std::string_view field_name = v_dot->get_field_name();
|
|
if (field_name[0] >= '0' && field_name[0] <= '9') {
|
|
// indexed access `ab.2()`, then treat `ab.2` just like an expression, fun_ref remains nullptr
|
|
// infer_dot_access() will be called for a callee, it will check type, index correctness, etc.
|
|
} else {
|
|
// for now, Tolk doesn't have fields and object-scoped methods; `t.tupleSize` is a global function `tupleSize`
|
|
const Symbol* sym = lookup_global_symbol(field_name);
|
|
fun_ref = sym ? sym->try_as<FunctionData>() : nullptr;
|
|
if (!fun_ref) {
|
|
v_dot->get_identifier()->error("non-existing method `" + static_cast<std::string>(field_name) + "` of type " + to_string(dot_obj));
|
|
}
|
|
}
|
|
|
|
} else {
|
|
// `getF()()` / `5()`
|
|
// fun_ref remains nullptr
|
|
}
|
|
|
|
// infer argument types, looking at fun_ref's parameters as hints
|
|
for (int i = 0; i < v->get_num_args(); ++i) {
|
|
TypePtr param_type = fun_ref && i < fun_ref->get_num_params() - delta_self ? fun_ref->parameters[delta_self + i].declared_type : nullptr;
|
|
auto arg_i = v->get_arg(i);
|
|
infer_any_expr(arg_i->get_expr(), param_type && !param_type->has_genericT_inside() ? param_type : nullptr);
|
|
assign_inferred_type(arg_i, arg_i->get_expr());
|
|
}
|
|
|
|
// handle `local_var()` / `getF()()` / `5()` / `SOME_CONST()` / `obj.method()()()` / `tensorVar.0()`
|
|
if (!fun_ref) {
|
|
// treat callee like a usual expression, which must have "callable" inferred type
|
|
infer_any_expr(callee);
|
|
const TypeDataFunCallable* f_callable = callee->inferred_type->try_as<TypeDataFunCallable>();
|
|
if (!f_callable) { // `5()` / `SOME_CONST()` / `null()`
|
|
v->error("calling a non-function");
|
|
}
|
|
// check arguments count and their types
|
|
if (v->get_num_args() != static_cast<int>(f_callable->params_types.size())) {
|
|
v->error("expected " + std::to_string(f_callable->params_types.size()) + " arguments, got " + std::to_string(v->get_arg_list()->size()));
|
|
}
|
|
for (int i = 0; i < v->get_num_args(); ++i) {
|
|
if (!f_callable->params_types[i]->can_rhs_be_assigned(v->get_arg(i)->inferred_type)) {
|
|
v->get_arg(i)->error("can not pass " + to_string(v->get_arg(i)) + " to " + to_string(f_callable->params_types[i]));
|
|
}
|
|
}
|
|
v->mutate()->assign_fun_ref(nullptr); // no fun_ref to a global function
|
|
assign_inferred_type(v, f_callable->return_type);
|
|
return;
|
|
}
|
|
|
|
// so, we have a call `f(args)` or `obj.f(args)`, f is a global function (fun_ref) (code / asm / builtin)
|
|
// if it's a generic function `f<T>`, we need to instantiate it, like `f<int>`
|
|
// same for generic methods `t.tupleAt<T>`, need to achieve `t.tupleAt<int>`
|
|
|
|
if (fun_ref->is_generic_function() && v_instantiationTs) {
|
|
// if Ts are specified by a user like `f<int>(args)` / `t.tupleAt<slice>()`, take them
|
|
std::vector<TypePtr> substitutions = collect_fun_generic_substitutions_from_manually_specified(v->loc, fun_ref, v_instantiationTs);
|
|
fun_ref = check_and_instantiate_generic_function(v->loc, fun_ref, std::move(substitutions));
|
|
|
|
} else if (fun_ref->is_generic_function()) {
|
|
// if `f<T>` called like `f(args)`, deduce T from arg types
|
|
std::vector<TypePtr> arg_types;
|
|
arg_types.reserve(delta_self + v->get_num_args());
|
|
if (dot_obj) {
|
|
arg_types.push_back(dot_obj->inferred_type);
|
|
}
|
|
for (int i = 0; i < v->get_num_args(); ++i) {
|
|
arg_types.push_back(v->get_arg(i)->inferred_type);
|
|
}
|
|
|
|
td::Result<std::vector<TypePtr>> deduced = deduce_substitutionTs_on_generic_func_call(fun_ref, std::move(arg_types), hint);
|
|
if (deduced.is_error()) {
|
|
v->error(deduced.error().message().str() + " for generic function " + to_string(fun_ref));
|
|
}
|
|
fun_ref = check_and_instantiate_generic_function(v->loc, fun_ref, deduced.move_as_ok());
|
|
|
|
} else if (UNLIKELY(v_instantiationTs != nullptr)) {
|
|
// non-generic function/method called with type arguments, like `c.cellHash<int>()` / `beginCell<builder>()`
|
|
v_instantiationTs->error("calling a not generic function with generic T");
|
|
}
|
|
|
|
v->mutate()->assign_fun_ref(fun_ref);
|
|
// since for `t.tupleAt()`, infer_dot_access() not called for callee = "t.tupleAt", assign its target here
|
|
if (v->is_dot_call()) {
|
|
v->get_callee()->as<ast_dot_access>()->mutate()->assign_target(fun_ref);
|
|
v->get_callee()->as<ast_dot_access>()->mutate()->assign_inferred_type(fun_ref->inferred_full_type);
|
|
}
|
|
// check arguments count and their types
|
|
check_function_arguments(fun_ref, v->get_arg_list(), dot_obj);
|
|
// get return type either from user-specified declaration or infer here on demand traversing its body
|
|
get_or_infer_return_type(fun_ref);
|
|
TypePtr inferred_type = dot_obj && fun_ref->does_return_self() ? dot_obj->inferred_type : fun_ref->inferred_return_type;
|
|
assign_inferred_type(v, inferred_type);
|
|
assign_inferred_type(callee, fun_ref->inferred_full_type);
|
|
if (fun_ref->is_builtin_function() && fun_ref->name[0] == '_') {
|
|
handle_possible_compiler_internal_call(current_function, v);
|
|
}
|
|
// note, that mutate params don't affect typing, they are handled when converting to IR
|
|
}
|
|
|
|
void infer_tensor(V<ast_tensor> v, TypePtr hint) {
|
|
const TypeDataTensor* tensor_hint = hint ? hint->try_as<TypeDataTensor>() : nullptr;
|
|
std::vector<TypePtr> types_list;
|
|
types_list.reserve(v->get_items().size());
|
|
for (int i = 0; i < v->size(); ++i) {
|
|
AnyExprV item = v->get_item(i);
|
|
infer_any_expr(item, tensor_hint && i < tensor_hint->size() ? tensor_hint->items[i] : nullptr);
|
|
types_list.emplace_back(item->inferred_type);
|
|
}
|
|
assign_inferred_type(v, TypeDataTensor::create(std::move(types_list)));
|
|
}
|
|
|
|
void infer_typed_tuple(V<ast_typed_tuple> v, TypePtr hint) {
|
|
const TypeDataTypedTuple* tuple_hint = hint ? hint->try_as<TypeDataTypedTuple>() : nullptr;
|
|
std::vector<TypePtr> types_list;
|
|
types_list.reserve(v->get_items().size());
|
|
for (int i = 0; i < v->size(); ++i) {
|
|
AnyExprV item = v->get_item(i);
|
|
infer_any_expr(item, tuple_hint && i < tuple_hint->size() ? tuple_hint->items[i] : nullptr);
|
|
if (item->inferred_type->calc_width_on_stack() != 1) {
|
|
fire_error_cannot_put_non1_stack_width_arg_to_tuple(v->get_item(i)->loc, item->inferred_type);
|
|
}
|
|
types_list.emplace_back(item->inferred_type);
|
|
}
|
|
assign_inferred_type(v, TypeDataTypedTuple::create(std::move(types_list)));
|
|
}
|
|
|
|
static void infer_null_keyword(V<ast_null_keyword> v) {
|
|
assign_inferred_type(v, TypeDataNullLiteral::create());
|
|
}
|
|
|
|
static void infer_underscore(V<ast_underscore> v, TypePtr hint) {
|
|
// if execution is here, underscore is either used as lhs of assignment, or incorrectly, like `f(_)`
|
|
// more precise is to always set unknown here, but for incorrect usages, instead of an error
|
|
// "can not pass unknown to X" would better be an error it can't be used as a value, at later steps
|
|
assign_inferred_type(v, hint ? hint : TypeDataUnknown::create());
|
|
}
|
|
|
|
static void infer_empty_expression(V<ast_empty_expression> v) {
|
|
assign_inferred_type(v, TypeDataUnknown::create());
|
|
}
|
|
|
|
void process_sequence(V<ast_sequence> v) {
|
|
for (AnyV item : v->get_items()) {
|
|
process_any_statement(item);
|
|
}
|
|
}
|
|
|
|
static bool is_expr_valid_as_return_self(AnyExprV return_expr) {
|
|
// `return self`
|
|
if (return_expr->type == ast_reference && return_expr->as<ast_reference>()->get_name() == "self") {
|
|
return true;
|
|
}
|
|
// `return self.someMethod()`
|
|
if (auto v_call = return_expr->try_as<ast_function_call>(); v_call && v_call->is_dot_call()) {
|
|
return v_call->fun_maybe && v_call->fun_maybe->does_return_self() && is_expr_valid_as_return_self(v_call->get_dot_obj());
|
|
}
|
|
// `return cond ? ... : ...`
|
|
if (auto v_ternary = return_expr->try_as<ast_ternary_operator>()) {
|
|
return is_expr_valid_as_return_self(v_ternary->get_when_true()) && is_expr_valid_as_return_self(v_ternary->get_when_false());
|
|
}
|
|
return false;
|
|
}
|
|
|
|
void process_return_statement(V<ast_return_statement> v) {
|
|
if (v->has_return_value()) {
|
|
infer_any_expr(v->get_return_value(), current_function->declared_return_type);
|
|
} else {
|
|
assign_inferred_type(v->get_return_value(), TypeDataVoid::create());
|
|
}
|
|
if (current_function->does_return_self()) {
|
|
return_unifier.unify_with(current_function->parameters[0].declared_type);
|
|
if (!is_expr_valid_as_return_self(v->get_return_value())) {
|
|
v->error("invalid return from `self` function");
|
|
}
|
|
return;
|
|
}
|
|
|
|
TypePtr expr_type = v->get_return_value()->inferred_type;
|
|
if (current_function->declared_return_type) {
|
|
if (!current_function->declared_return_type->can_rhs_be_assigned(expr_type)) {
|
|
v->get_return_value()->error("can not convert type " + to_string(expr_type) + " to return type " + to_string(current_function->declared_return_type));
|
|
}
|
|
} else {
|
|
if (!return_unifier.unify_with(expr_type)) {
|
|
v->get_return_value()->error("can not unify type " + to_string(expr_type) + " with previous return type " + to_string(return_unifier.get_result()));
|
|
}
|
|
}
|
|
}
|
|
|
|
void process_if_statement(V<ast_if_statement> v) {
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond) && !expect_boolean(cond)) {
|
|
cond->error("can not use " + to_string(cond) + " as a boolean condition");
|
|
}
|
|
process_any_statement(v->get_if_body());
|
|
process_any_statement(v->get_else_body());
|
|
}
|
|
|
|
void process_repeat_statement(V<ast_repeat_statement> v) {
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond)) {
|
|
cond->error("condition of `repeat` must be an integer, got " + to_string(cond));
|
|
}
|
|
process_any_statement(v->get_body());
|
|
}
|
|
|
|
void process_while_statement(V<ast_while_statement> v) {
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond) && !expect_boolean(cond)) {
|
|
cond->error("can not use " + to_string(cond) + " as a boolean condition");
|
|
}
|
|
process_any_statement(v->get_body());
|
|
}
|
|
|
|
void process_do_while_statement(V<ast_do_while_statement> v) {
|
|
process_any_statement(v->get_body());
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond) && !expect_boolean(cond)) {
|
|
cond->error("can not use " + to_string(cond) + " as a boolean condition");
|
|
}
|
|
}
|
|
|
|
void process_throw_statement(V<ast_throw_statement> v) {
|
|
infer_any_expr(v->get_thrown_code());
|
|
if (!expect_integer(v->get_thrown_code())) {
|
|
v->get_thrown_code()->error("excNo of `throw` must be an integer, got " + to_string(v->get_thrown_code()));
|
|
}
|
|
infer_any_expr(v->get_thrown_arg());
|
|
if (v->has_thrown_arg() && v->get_thrown_arg()->inferred_type->calc_width_on_stack() != 1) {
|
|
v->get_thrown_arg()->error("can not throw " + to_string(v->get_thrown_arg()) + ", exception arg must occupy exactly 1 stack slot");
|
|
}
|
|
}
|
|
|
|
void process_assert_statement(V<ast_assert_statement> v) {
|
|
AnyExprV cond = v->get_cond();
|
|
infer_any_expr(cond);
|
|
if (!expect_integer(cond) && !expect_boolean(cond)) {
|
|
cond->error("can not use " + to_string(cond) + " as a boolean condition");
|
|
}
|
|
infer_any_expr(v->get_thrown_code());
|
|
if (!expect_integer(v->get_thrown_code())) {
|
|
v->get_cond()->error("thrown excNo of `assert` must be an integer, got " + to_string(v->get_cond()));
|
|
}
|
|
}
|
|
|
|
static void process_catch_variable(AnyExprV catch_var, TypePtr catch_var_type) {
|
|
if (auto v_ref = catch_var->try_as<ast_reference>(); v_ref && v_ref->sym) { // not underscore
|
|
assign_inferred_type(v_ref->sym->as<LocalVarData>(), catch_var_type);
|
|
}
|
|
assign_inferred_type(catch_var, catch_var_type);
|
|
}
|
|
|
|
void process_try_catch_statement(V<ast_try_catch_statement> v) {
|
|
process_any_statement(v->get_try_body());
|
|
|
|
// `catch` has exactly 2 variables: excNo and arg (when missing, they are implicit underscores)
|
|
// `arg` is a curious thing, it can be any TVM primitive, so assign unknown to it
|
|
// hence, using `fInt(arg)` (int from parameter is a hint) or `arg as slice` works well
|
|
// it's not truly correct, because `arg as (int,int)` also compiles, but can never happen, but let it be user responsibility
|
|
tolk_assert(v->get_catch_expr()->size() == 2);
|
|
std::vector<TypePtr> types_list = {TypeDataInt::create(), TypeDataUnknown::create()};
|
|
process_catch_variable(v->get_catch_expr()->get_item(0), types_list[0]);
|
|
process_catch_variable(v->get_catch_expr()->get_item(1), types_list[1]);
|
|
assign_inferred_type(v->get_catch_expr(), TypeDataTensor::create(std::move(types_list)));
|
|
|
|
process_any_statement(v->get_catch_body());
|
|
}
|
|
|
|
public:
|
|
static void assign_fun_full_type(const FunctionData* fun_ref, TypePtr inferred_return_type) {
|
|
// calculate function full type `fun(params) -> ret_type`
|
|
std::vector<TypePtr> params_types;
|
|
params_types.reserve(fun_ref->get_num_params());
|
|
for (const LocalVarData& param : fun_ref->parameters) {
|
|
params_types.push_back(param.declared_type);
|
|
}
|
|
assign_inferred_type(fun_ref, inferred_return_type, TypeDataFunCallable::create(std::move(params_types), inferred_return_type));
|
|
}
|
|
|
|
void start_visiting_function(const FunctionData* fun_ref, V<ast_function_declaration> v_function) {
|
|
if (fun_ref->is_code_function()) {
|
|
current_function = fun_ref;
|
|
process_any_statement(v_function->get_body());
|
|
current_function = nullptr;
|
|
|
|
if (fun_ref->is_implicit_return()) {
|
|
bool is_ok_with_void = fun_ref->declared_return_type
|
|
? fun_ref->declared_return_type->can_rhs_be_assigned(TypeDataVoid::create())
|
|
: return_unifier.unify_with_implicit_return_void();
|
|
if (!is_ok_with_void || fun_ref->does_return_self()) {
|
|
throw ParseError(v_function->get_body()->as<ast_sequence>()->loc_end, "missing return");
|
|
}
|
|
}
|
|
} else {
|
|
// asm functions should be strictly typed, this was checked earlier
|
|
tolk_assert(fun_ref->declared_return_type);
|
|
}
|
|
|
|
TypePtr inferred_return_type = fun_ref->declared_return_type ? fun_ref->declared_return_type : return_unifier.get_result();
|
|
assign_fun_full_type(fun_ref, inferred_return_type);
|
|
fun_ref->mutate()->assign_is_type_inferring_done();
|
|
}
|
|
};
|
|
|
|
class LaunchInferTypesAndMethodsOnce final {
|
|
public:
|
|
static bool should_visit_function(const FunctionData* fun_ref) {
|
|
// since inferring can be requested on demand, prevent second execution from a regular pipeline launcher
|
|
return !fun_ref->is_type_inferring_done() && !fun_ref->is_generic_function();
|
|
}
|
|
|
|
static void start_visiting_function(const FunctionData* fun_ref, V<ast_function_declaration> v_function) {
|
|
InferCheckTypesAndCallsAndFieldsVisitor visitor;
|
|
visitor.start_visiting_function(fun_ref, v_function);
|
|
}
|
|
};
|
|
|
|
// infer return type "on demand"
|
|
// example: `fun f() { return g(); } fun g() { ... }`
|
|
// when analyzing `f()`, we need to infer what fun_ref=g returns
|
|
// (if `g` is generic, it was already instantiated, so fun_ref=g<int> is here)
|
|
static void infer_and_save_return_type_of_function(const FunctionData* fun_ref) {
|
|
static std::vector<const FunctionData*> called_stack;
|
|
|
|
tolk_assert(!fun_ref->is_generic_function() && !fun_ref->is_type_inferring_done());
|
|
// if `g` has return type declared, like `fun g(): int { ... }`, don't traverse its body
|
|
if (fun_ref->declared_return_type) {
|
|
InferCheckTypesAndCallsAndFieldsVisitor::assign_fun_full_type(fun_ref, fun_ref->declared_return_type);
|
|
return;
|
|
}
|
|
|
|
// prevent recursion of untyped functions, like `fun f() { return g(); } fun g() { return f(); }`
|
|
bool contains = std::find(called_stack.begin(), called_stack.end(), fun_ref) != called_stack.end();
|
|
if (contains) {
|
|
fun_ref->ast_root->error("could not infer return type of " + to_string(fun_ref) + ", because it appears in a recursive call chain; specify `: <return_type>` manually");
|
|
}
|
|
|
|
// dig into g's body; it's safe, since the compiler is single-threaded
|
|
// on finish, fun_ref->inferred_return_type is filled, and won't be called anymore
|
|
called_stack.push_back(fun_ref);
|
|
InferCheckTypesAndCallsAndFieldsVisitor visitor;
|
|
visitor.start_visiting_function(fun_ref, fun_ref->ast_root->as<ast_function_declaration>());
|
|
called_stack.pop_back();
|
|
}
|
|
|
|
void pipeline_infer_types_and_calls_and_fields() {
|
|
visit_ast_of_all_functions<LaunchInferTypesAndMethodsOnce>();
|
|
}
|
|
|
|
void pipeline_infer_types_and_calls_and_fields(const FunctionData* fun_ref) {
|
|
InferCheckTypesAndCallsAndFieldsVisitor visitor;
|
|
visitor.start_visiting_function(fun_ref, fun_ref->ast_root->as<ast_function_declaration>());
|
|
}
|
|
|
|
} // namespace tolk
|