TL-B Language

TL-B (Type Language - Binary) serves to describe the type system, constructors and existing functions. For example, we can use TL-B schemes to build binary structures associated with TON Blockchain. Special TL-B parsers can read schemes to deserialize binary data into different objects. TL-B describes data schemes for Cell objects. If you not familiar with Cells, please read Cell & Bag of Cells(BOC) article.

Overview

We refer to any set of TL-B constructs as TL-B documents. A TL-B document usually consists of declarations of types ( i.e. their constructors) and functional combinators. The declaration of each combinator ends with a semicolon (;).

Here is an example of a possible combinator declaration:

Constructors

The left-hand side of each equation describes the way to define, or serialize, a value of the type indicated on the right-hand side. Such a description begins with the name of a constructor.

Constructors are used to specify the type of combinator, including the state at serialization. For example, constructors can also be used when you want to specify an op(operation code) in query to a smart contract in TON.

// ....
transfer#5fcc3d14 <...> = InternalMsgBody;
// ....

constructor name: transfer
constructor prefix code: #5fcc3d14

Notice, every constructor name immediately followed by an optional constructor tag, such as #_ or $10, which describes the bitstring used to encode (serialize) the constructor in question.

message#3f5476ca value:# = CoolMessage;
bool_true$0 = Bool;
bool_false$1 = Bool;

The left-hand side of each equation describes the way to define, or serialize, a value of the type indicated on the right-hand side. Such a description begins with the name of a constructor, such as message or bool_true, immediately followed by an optional constructor tag, such as #3f5476ca or $0, which describes the bits used to encode ( serialize) the constructor in question.

constructor	serialization
`some#3f5476ca`	32-bit uint serialize from hex value
`some#5fe`	12-bit uint serialize from hex value
`some$0101`	serialize `0101` raw bits
`some` or `some#`	serialize `crc32(equation) \\| 0x80000000`
`some#_` or `some$_` or `_`	serialize nothing

Constructor names (some in this example) are used as variables in codegen. For example:

bool_true$1 = Bool;
bool_false$0 = Bool;

Type Bool has two tags 0 and 1. Codegen pseudocode might look like:

class Bool:
    tags = [1, 0]
    tags_names = ['bool_true', 'bool_false']

If you don't want to define any name for current constructor, just pass _, e.g. _ a:(## 32) = 32Int;

Constructor tags may be given in either binary (after a dollar sign) or hexadecimal notation (after a hash sign). If a tag is not explicitly provided, the TL-B parser must compute a default 32-bit constructor tag by hashing with CRC32 algorithm the text of the “equation” with | 0x80000000 defining this constructor in a certain fashion. Therefore, empty tags must be explicitly provided by #_ or $_.

This tag willies used to guess current type of bitstring in deserialization process. E.g. we have 1 bit bitstring 0, if we tell TLB to parse this bitstring in type of Bool it will parse it as Bool.bool_false.

Let's say we have more complex examples:

tag_a$10 val:(## 32) = A;
tag_b$00 val(## 64) = A;

If we parse 1000000000000000000000000000000001 (1 and 32 zeroes and 1) in TLB type A - firstly we need to get first two bits to define tag. In this example 10 is two first bits and they represent tag_a. So now we know that next 32 bits are val variable, 1 in our example. Some "parsed" pseudocode variables may look like:

A.tag = 'tag_a'
A.tag_bits = '10'
A.val = 1

All constructor names must be distinct and constructor tags for the same type must constitute a prefix code (otherwise the deserialization would not be unique); i.e. no tag can be a prefix of any other in same type.

Maximum number of constructors per one type: 64 Maximum bits for tag: 63

Binary example:

example_a$10 = A;
example_b$01 = A;
example_c$11 = A;
example_d$00 = A;

Codegen pseudocode might look like:

class A:
    tags = [2, 1, 3, 0]
    tags_names = ['example_a', 'example_b', 'example_c', 'example_d']

Hex tag example:

example_a#0 = A;
example_b#1 = A;
example_c#f = A;

Codegen pseudocode might look like:

class A:
    tags = [0, 1, 15]
    tags_names = ['example_a', 'example_b', 'example_c']

If you use hex tag, keep in mind that it will be serialized as 4 bits for each hex symbol. Maximum value is 63-bit unsigned integer. This means:

a#32 a:(## 32) = AMultiTagInt;
b#1111 a:(## 32) = AMultiTagInt;
c#5FE a:(## 32) = AMultiTagInt;
d#3F5476CA a:(## 32) = AMultiTagInt;

constructor	serialization
`a#32`	8-bit uint serialize from hex value
`b#1111`	16-bit uint serialize from hex value
`c#5FE`	12-bit uint serialize from hex value
`d#3F5476CA`	32-bit uint serialize from hex value

Also hex values allowed both in upper and lower case.

More about hex tags

In addition to the classic hex tag definition, a hexadecimal number can be followed by the underscore character. This means that the tag is equal to the specified hexadecimal number without the least significant bit. For example there is a scheme:

vm_stk_int#0201_ value:int257 = VmStackValue;

And the tag is not actually equal to 0x0201. To compute it we need to remove LSb from the binary representation of 0x0201:

0000001000000001 -> 000000100000000

So the tag equals to the 15-bit binary number 0b000000100000000.

Field definitions

The constructor and its optional tag are followed by field definitions. Each field definition is of the form ident:type-expr, where ident is an identifier with the name of the field (replaced by an underscore for anonymous fields), and type-expr is the field’s type. The type provided here is a type expression, which may include simple types, parametrized types with suitable parameters or complex expressions.

In sum up all fields defined in type must not be greater than Cell (`1023` bits and `4` refs)

Simple types

_ a:# = Type; - Type.a here is 32-bit integer
_ a:(## 64) = Type; - Type.a here is 64-bit integer
_ a:Owner = NFT; - NFT.a here is Owner type
_ a:^Owner = NFT; - NFT.a here is cell ref to Owner type means Owner is stored in next cell reference.

Anonymous fields

_ _:# = A; - first field is anonymous 32-bit integer

Extend cell with references

_ a:(##32) ^[ b:(##32) c:(## 32) d:(## 32)] = A;

If for some reason we want to separate some fields to another cell we can use ^[ ... ] syntax. In this example A.a / A.b / A.c / A.d are 32-bit unsigned integers, but A.a is stored in first cell, and A.b / A.c / A.d are stored in next cell (1 ref)

_ ^[ a:(## 32) ^[ b:(## 32) ^[ c:(## 32) ] ] ] = A;

Chain of references are also allowed. In this example each of variables (a, b, c) are stored in separated cells

Parametrized types

Suppose we have IntWithObj type:

_ {X:Type} a:# b:X = IntWithObj X;

Now we can use it in other types:

_ a:(IntWithObj uint32) = IntWithUint32;

Complex expressions

Conditional fields (only for Nat) (E?T means if expression E is True than field has type T)
```
_ a:(## 1) b:a?(## 32) = Example;
```
In Example type variable b serialized only if a is 1

Multiply expression for tuples creation (x * T means create tuple of length x of type T):

a$_ a:(## 32) = A;
b$_ b:(2 * A) = B;

_ (## 1) = Bit;
_ 2bits:(2 * Bit) = 2Bits;

Bit selection (only for Nat) (E . B means take bit B of Nat E)
```
_ a:(## 2) b:(a . 1)?(## 32) = Example;
```
In Example type variable b serialized only if second bit a is 1

Other Nat operators also allowed (look Allowed contraints)

Note: you can combine several complex expressions:

_ a:(## 1) b:(## 1) c:(## 2) d:(a?(b?((c . 1)?(## 64)))) = A;

Built-in types

# - Nat 32 bits unsigned integer
## x - Nat with x bits
#< x - Nat less than x bit unsigned integer stored as lenBits(x - 1) bits, up to 31 bits
#<= x - Nat less or equal than x bit unsigned integer stored as lenBits(x) bits, up to 32 bits
Any / Cell - rest of cell bits&refs
Int - 257 bits
UInt - 256 bits
Bits - 1023 bits
uint1 - uint256 - 1 - 256 bits
int1 - int257 - 1 - 257 bits
bits1 - bits1023 - 1 - 1023 bits
uint X / int X / bits X - same as uintX but you can use parametrized X in this types

Constraints

_ flags:(## 10) { flags <= 100 } = Flag;

Nat fields allowed in constraints. In this example { flags <= 100 } constraint means that flags variable is less or equal 100.

Allowed contraints: E | E = E | E <= E | E < E | E >= E | E > E | E + E | E * E | E ? E

Implicit fields

Some fields may be implicit. Their definitions are surrounded by curly brackets({, }), which indicate that the field is not actually present in the serialization, but that its value must be deduced from other data (usually the parameters of the type being serialized). Example:

nothing$0 {X:Type} = Maybe X;
just$1 {X:Type} value:X = Maybe X;

_ {x:#} a:(## 32) { ~x = a + 1 } = Example;

Parametrized types

Variables — i.e. the (identifiers of the) previously defined fields of types # (natural numbers) or Type (type of types) — may be used as parameters for the parametrized types. The serialization process recursively serializes each field according to its type and the serialization of a value ultimately consists of the concatenation of bits representing the constructor (i.e. the constructor tag) and the field values.

Natural numbers (`Nat`)

_ {x:#} my_val:(## x) = A x;

Means that A is parametrized by x Nat. In deserialization process we will fetch x-bit unsigned integer E.g.:

_ value:(A 32) = My32UintValue;

Means than in deserialization process of My32UintValue type we will fetch 32-bit unsigned integer (because of 32 parameter to A type)

Types

_ {X:Type} my_val:(## 32) next_val:X = A X;

Means that A is parametrized by X type. In deserialization process we will fetch 32-bit unsigned integer and than parse bits&refs of type X.

Usage example of such parametrized type can be:

_ bit:(## 1) = Bit;
_ 32intwbit:(A Bit) = 32IntWithBit;

In this example we pass type Bit to A as parameter.

If you don't want to define type, but want to deserialize by this scheme you may use Any word:

_ my_val:(A Any) = Example;

Means that if we deserialize Example type we will fetch 32-bit integer and then rest of cell (bits&refs) to my_val.

You can create complex types with several parameters:

_ {X:Type} {Y:Type} my_val:(## 32) next_val:X next_next_val:Y = A X Y;
_ bit:(## 1) = Bit;
_ a_with_two_bits:(A Bit Bit) = AWithTwoBits;

Also you can use partial apply on such parametrized types:

_ {X:Type} {Y:Type} v1:X v2:Y = A X Y;
_ bit:(## 1) = Bit;
_ {X:Type} bits:(A Bit X) = BitA X;

Or even parametrized types itself:

_ {X:Type} v1:X = A X;
_ {X:Type} d1:X = B X;
_ {X:Type} bits:(A (B X)) = AB X;

NAT fields usage for parametrized types

You can use fields defined previously like parameters to types. Serialization will be determinate in runtime.

Simple example:

_ a:(## 8) b:(## a) = A;

This means that we store size of b field inside of a field. So when we want to serialize type A we need to load 8 bit unsigned integer of a field and then use this number to determinate size of b field.

This strategy works for parametrized types as well:

_ {input:#} c:(## input) = B input;
_ a:(## 8) c_in_b:(B a) = A;

Expression in parametrized types

_ {x:#} value:(## x) = Example (x * 2);
_ _:(Example 4) = 2BitInteger;

In this example Example.value type is determinate in runtime.

In 2BitInteger definition we set value Example 4 type. To determinate this type we use Example (x * 2) definition and calculate x by formula (y = 2, z = 4):

static inline bool mul_r1(int& x, int y, int z) {
  return y && !(z % y) && (x = z / y) >= 0;
}

We can also use add operator:

_ {x:#} value:(## x) = ExampleSum (x + 3);
_ _:(ExampleSum 4) = 1BitInteger;

In 1BitInteger definition we set value ExampleSum 4 type. To determinate this type we use ExampleSum (x + 3) definition and calculate x by formula (y = 3, z = 4):

static inline bool add_r1(int& x, int y, int z) {
  return z >= y && (x = z - y) >= 0;
}

Negate operator (`~`)

Some occurrences of “variables” (i.e. already-defined fields) are prefixed by a tilde(~). This indicates that the variable’s occurrence is used in the opposite way to the default behavior: on the left-hand side of the equation, it means that the variable will be deduced (computed) based on this occurrence, instead of substituting its previously computed value; in the right-hand side, conversely, it means that the variable will not be deduced from the type being serialized, but rather that it will be computed during the deserialization process. In other words, a tilde transforms an “input argument” into an “output argument” or vice versa.

Simple example for negate operator is definition of new variable base on another variable:

_ a:(## 32) { b:# } { ~b = a + 100 } = B_Calc_Example;

After definition, you can use new variable for passing it to Nat types:

_ a:(## 8) { b:# } { ~b = a + 10 }
  example_dynamic_var:(## b) = B_Calc_Example;

The size of example_dynamic_var will be computed in runtime, when we load a variable and use it value for determination of example_dynamic_var size.

Or to other types:

_ {X:Type} a:^X = PutToRef X;
_ a:(## 32) { b:# } { ~b = a + 100 }
  my_ref: (PutToRef b) = B_Calc_Example;

Also you can define variables with negate operator in add or multiply complex expressions:

_ a:(## 32) { b:# } { ~b + 100 = a }  = B_Calc_Example;

_ a:(## 32) { b:# } { ~b * 5 = a }  = B_Calc_Example;

Negate operator (`~`) in type definition

_ {m:#} n:(## m) = Define ~n m;
_ {n_from_define:#} defined_val:(Define ~n_from_define 8) real_value:(## n_from_define) = Example;

Assume we have class Define ~n m which takes m and compute n loading it from m bit unsigned integer.

In Example type we store variable computed by Define type into n_from_define, also we know that it's 8 bit unsigned integer, because we apply Define type with Define ~n_from_define 8. Now we can use n_from_define variable in other types to determinate serialization process.

This technic lead to more complex type definitions (such as Unions, Hashmaps).

unary_zero$0 = Unary ~0;
unary_succ$1 {n:#} x:(Unary ~n) = Unary ~(n + 1);
_ u:(Unary Any) = UnaryChain;

This is example has good explanation in TL-B Types article. The main idea here is that UnaryChain will recursively deserialize until reach of unary_zero$0 (because we know last element of Unary X type by definition unary_zero$0 = Unary ~0; and X is calculated in runtime due Unary ~(n + 1) definition).

Note: x:(Unary ~n) means that n is defined in process of serialization of Unary class.

Special types

Currently, TVM allow types of cells:

Ordinary
PrunnedBranch
Library
MerkleProof
MerkleUpdate

By default, all cells are Ordinary. And all cells described in tlb are Ordinary.

To allow load of special types in constructor you need to add ! before constructor.

Example:

!merkle_update#02 {X:Type} old_hash:bits256 new_hash:bits256
  old:^X new:^X = MERKLE_UPDATE X;
  
!merkle_proof#03 {X:Type} virtual_hash:bits256 depth:uint16 virtual_root:^X = MERKLE_PROOF X;

This technic allow codegen code to mark SPECIAL cells when you want to print structure, also it allow to correctly validate structures with special cells.

Several instances for one type without constructor uniqueness tag check

It's allowed to create several instances of one type depending only on type parameters. In this way of definition constructor tag unique check will not be applied.

Example:

_ = A 1;
a$01 = A 2;
b$01 = A 3;
_ test:# = A 4;

Means that actual tag for deserialization will be determinate by A type parameter:

# class for type `A`
class A(TLBComplex):
    class Tag(Enum):
        a = 0
        b = 1
        cons1 = 2
        cons4 = 3

    cons_len = [2, 2, 0, 0]
    cons_tag = [1, 1, 0, 0]

    m_: int = None

    def __init__(self, m: int):
        self.m_ = m

    def get_tag(self, cs: CellSlice) -> Optional["A.Tag"]:
        tag = self.m_

        if tag == 1:
            return A.Tag.cons1

        if tag == 2:
            return A.Tag.a

        if tag == 3:
            return A.Tag.b

        if tag == 4:
            return A.Tag.cons4

        return None

Same works with several parameters:

_ = A 1 1;
a$01 = A 2 1;
b$01 = A 3 3;
_ test:# = A 4 2;

Please, keep in mind that when you add parametrized type definition, tags between predefined type definition (a and b in our example) and parametrized type definition (c in our example) must be unique:

Not valid example:

a$01 = A 2 1;
b$11 = A 3 3;
c$11 {X:#} {Y:#} = A X Y;

Valid example:

a$01 = A 2 1;
b$01 = A 3 3;
c$11 {X:#} {Y:#} = A X Y;

Comments

Comments are the same as in C++

/* 
This is
a comment 
*/

// This is one line comment

IDE Support

The intellij-ton plugin supports Fift, FunC and also TL-B.
The TL-B grammar is described in the TlbParser.bnf file.

Useful sources

Documentation provided by Disintar team.

TL-B Language

Overview​

Constructors​

More about hex tags​

Field definitions​

Simple types​

Anonymous fields​

Extend cell with references​

Parametrized types​

Complex expressions​

Built-in types​

Constraints​

Implicit fields​

Parametrized types​

Natural numbers (Nat)​

Types​

NAT fields usage for parametrized types​

Expression in parametrized types​

Negate operator (~)​

Negate operator (~) in type definition​

Special types​

Several instances for one type without constructor uniqueness tag check​

Comments​

IDE Support​

Useful sources​

Overview

Constructors

More about hex tags

Field definitions

Simple types

Anonymous fields

Extend cell with references

Parametrized types

Complex expressions

Built-in types

Constraints

Implicit fields

Parametrized types

Natural numbers (`Nat`)

Types

NAT fields usage for parametrized types

Expression in parametrized types

Negate operator (`~`)

Negate operator (`~`) in type definition

Special types

Several instances for one type without constructor uniqueness tag check

Comments

IDE Support

Useful sources