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61
gitlab-pages/docs/advanced/entrypoints-contracts.md
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@ -1,20 +1,20 @@
---
id: entrypoints-contracts
title: Entrypoints to Contracts
title: Access function and Entrypoints
---
## Entrypoints
## Access Functions
A LIGO contract is made of a series of constant and function
declarations. Only functions having a special type can be called when
the contract is activated: they are called *entrypoints*. An
entrypoint need to take two parameters, the *contract parameter* and
the *on-chain storage*, and return a pair made of a *list of
operations* and a (new) storage.
the contract is activated: we called them *access functions*. An
access function takes two parameters, the *contract parameter* and the
*on-chain storage*, and returns a pair made of a *list of operations*
and a (new) storage.
When the contract is originated, the initial value of the storage is
provided. When and entrypoint is later called, only the parameter is
provided, but the type of an entrypoint contains both.
provided. When an access function is later called, only the parameter
is provided, but the type of an access function contains both.
The type of the contract parameter and the storage are up to the
contract designer, but the type for list operations is not. The return
@ -23,7 +23,7 @@ has been defined elsewhere. (Note that you can use any type with any
name for the storage.)
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo skip
type storage is ... // Any name, any type
type return is list (operation) * storage
@ -42,9 +42,9 @@ type return = (list (operation), storage);
```
<!--END_DOCUSAURUS_CODE_TABS-->
The contract storage can only be modified by activating an
entrypoint. It is important to understand what that means. What it
does *not* mean is that some global variable holding the storage is
The contract storage can only be modified by activating an access
function. It is important to understand what that means. What it does
*not* mean is that some global variable holding the storage is
modified by the entrypoint. Instead, what it *does* mean is that,
given the state of the storage *on-chain*, an entrypoint specifies how
to create another state for it, depending on a parameter.
@ -54,7 +54,7 @@ is updated by the parameter.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
type storage is nat
@ -82,20 +82,29 @@ let main = ((parameter, store): (nat, storage)) : return => {
```
<!--END_DOCUSAURUS_CODE_TABS-->
In LIGO, the design pattern for entrypoints consists in actually
having exactly *one entrypoint*, like the `main` function in C. The
parameter of the contract is then a variant type, and, depending on
the constructors of that type, different functions in the contract are
called. In other terms, the unique entrypoint dispatches the control
flow depending on a *pattern matching* on the contract parameter.
## Entrypoints
In the following example, the storage contains a counter (of type
`nat`) and a name (of type `string`). Depending on the parameter of
the contract, either the counter or the name is updated.
In LIGO, the design pattern is to have *one* access function that
dispatches the control flow according to its parameter. Those
functions called for those actions are called *entrypoints*.
As an analogy, in the C programming language, the `main` function is
the unique access function and any function called from it would be an
entrypoint.
The parameter of the contract is then a variant type, and, depending
on the constructors of that type, different functions in the contract
are called. In other terms, the unique access function dispatches the
control flow depending on a *pattern matching* on the contract
parameter.
In the following example, the storage contains a counter of type `nat`
and a name of type `string`. Depending on the parameter of the
contract, either the counter or the name is updated.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
type parameter is
Entrypoint_A of nat
@ -188,7 +197,7 @@ any transaction that sends more tez than `0mutez`, that is, no
incoming tokens are accepted.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
type parameter is unit
type storage is unit
@ -232,7 +241,7 @@ let deny = ((param, store): (parameter, storage)) : return => {
This example shows how `sender` or `source` can be used to deny access to an entrypoint.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
const owner : address = ("tz1KqTpEZ7Yob7QbPE4Hy4Wo8fHG8LhKxZSx": address);
@ -287,7 +296,7 @@ counter contract.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo skip
// counter.ligo
type parameter is

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gitlab-pages/docs/advanced/first-contract.md
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@ -3,20 +3,24 @@ id: first-contract
title: First contract
---
So far so good, we've learned enough of the LIGO language, we're confident enough to write out first smart contract.
So far so good, we have learned enough of the LIGO language, we are
confident enough to write out first smart contract.
We'll be implementing a counter contract, let's go.
We will be implementing a counter contract.
## Dry-running a contract
## Dry-running a Contract
Testing a contract can be quite easy if we utilize LIGO's built-in dry run feature. Dry-run works by simulating the entrypoint execution, as if it were deployed on a real chain. You need to provide the following:
Testing a contract can be quite easy if we utilize LIGO's built-in dry
run feature. Dry-run works by simulating the access function
execution, as if it were deployed on a real chain. You need to provide
the following:
- `file` - contract to run
- `entrypoint` - name of the function to execute
- `parameter` - parameter passed to the entrypoint (in a theoretical invocation operation)
- `parameter` - parameter passed to the access function (in a theoretical invocation operation)
- `storage` - a mock storage value, as if it were stored on a real chain
Here's a full example:
Here is a full example:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
@ -29,25 +33,29 @@ ligo dry-run src/basic.ligo main Unit Unit
```
<!--END_DOCUSAURUS_CODE_TABS-->
Output of the `dry-run` is the return value of our entrypoint function, we can see the operations emited - in our case an empty list, and the new storage value being returned - which in our case is still `Unit`.
Output of the `dry-run` is the return value of our access function, we
can see the operations emited - in our case an empty list, and the new
storage value being returned - which in our case is still `Unit`.
## Building a counter contract
## A Counter Contract
Our counter contract will store a single `int` as it's storage, and will accept an `action` variant in order to re-route our single `main` entrypoint into two entrypoints for `addition` and `subtraction`.
Our counter contract will store a single `int` as it's storage, and
will accept an `action` variant in order to re-route our single `main`
access function to two entrypoints for `addition` and `subtraction`.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```
type action is
| Increment of int
Increment of int
| Decrement of int
function main (const p : action ; const s : int) : (list(operation) * int) is
block {skip} with ((nil : list(operation)),
case p of
((nil : list(operation)),
(case p of
| Increment (n) -> s + n
| Decrement (n) -> s - n
end)
end))
```
<!--CameLIGO-->
@ -98,11 +106,13 @@ ligo dry-run src/counter.ligo main "Increment(5)" 5
<!--END_DOCUSAURUS_CODE_TABS-->
Yay, our contract's storage has been successfuly incremented to `10`.
Our contract's storage has been successfuly incremented to `10`.
## Deploying and interacting with a contract on a live-chain
In order to deploy the counter contract to a real Tezos network, we'd have to compile it first, this can be done with the help of the `compile-contract` CLI command:
In order to deploy the counter contract to a real Tezos network, we'd
have to compile it first, this can be done with the help of the
`compile-contract` CLI command:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
@ -156,7 +166,10 @@ Command above will output the following Michelson code:
```
<!--END_DOCUSAURUS_CODE_TABS-->
However in order to originate a Michelson contract on Tezos, we also need to provide the initial storage value, we can use `compile-storage` to compile the LIGO representation of the storage to Michelson.
However in order to originate a Michelson contract on Tezos, we also
need to provide the initial storage value, we can use
`compile-storage` to compile the LIGO representation of the storage to
Michelson.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
@ -182,4 +195,5 @@ ligo compile-parameter src/counter.ligo main 'Increment(5)'
<!--END_DOCUSAURUS_CODE_TABS-->
Now we can use `(Right 5)` which is a Michelson value, to invoke our contract - e.g. via `tezos-client`
Now we can use `(Right 5)` which is a Michelson value, to invoke our
contract - e.g. via `tezos-client`

14
gitlab-pages/docs/advanced/timestamps-addresses.md
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@ -16,7 +16,7 @@ expression, please be aware that it is up to the baker to set the
current timestamp value.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
const today : timestamp = now
```
@ -44,7 +44,7 @@ constraints on your smart contracts. Consider the following scenarios.
#### In 24 hours
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
const today : timestamp = now
const one_day : int = 86400
@ -76,7 +76,7 @@ let one_day_later : timestamp = some_date + one_day;
#### 24 hours Ago
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
const today : timestamp = now
const one_day : int = 86400
@ -105,7 +105,7 @@ You can compare timestamps using the same comparison operators
applying to numbers.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
const not_tommorow : bool = (now = in_24_hrs)
```
@ -130,7 +130,7 @@ type `address`. Beware of failures if the address is invalid. Consider
the following examples.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=d
const my_account : address =
("tz1KqTpEZ7Yob7QbPE4Hy4Wo8fHG8LhKxZSx" : address)
@ -159,7 +159,7 @@ failure if the signature is invalid.
Here is how you can define a signature:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=e
const my_sig : signature =
("edsigthTzJ8X7MPmNeEwybRAvdxS1pupqcM5Mk4uCuyZAe7uEk68YpuGDeViW8wSXMrCi5CwoNgqs8V2w8ayB5dMJzrYCHhD8C7" :
@ -188,7 +188,7 @@ failure if the key is invalid.
Here is how you can define a key.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=f
const my_key : key =
("edpkuBknW28nW72KG6RoHtYW7p12T6GKc7nAbwYX5m8Wd9sDVC9yav" : key)

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gitlab-pages/docs/intro/src/what-and-why/ligo-counter.ligo
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@ -1,12 +1,25 @@
type action is
| Increment of int
| Decrement of int
| Reset of unit
type storage is int
function main (const p : action ; const s : int) : (list(operation) * int) is
block { skip } with ((nil : list(operation)),
case p of
| Increment(n) -> s + n
| Decrement(n) -> s - n
| Reset(n) -> 0
end)
type parameter is
Increment of int
| Decrement of int
| Reset
type return is list (operation) * storage
(* Two entrypoints *)
function add (const store : storage; const delta : int) : storage is store + delta
function sub (const store : storage; const delta : int) : storage is store - delta
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
function main (const action : parameter; const store : storage) : return is
((nil : list (operation)), // No operations
case action of
Increment (n) -> add (store, n)
| Decrement (n) -> sub (store, n)
| Reset -> 0
end)

23
gitlab-pages/docs/intro/src/what-and-why/ligo-counter.mligo Normal file
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@ -0,0 +1,23 @@
type storage = int
type parameter =
Increment of int
| Decrement of int
| Reset
type return = operation list * storage
(* Two entrypoints *)
let add (store, delta : storage * int) : storage = store + delta
let sub (store, delta : storage * int) : storage = store - delta
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
let main (action, store : parameter * storage) : return =
([] : operation list), // No operations
(match action with
Increment (n) -> add (store, n)
| Decrement (n) -> sub (store, n)
| Reset -> 0)

26
gitlab-pages/docs/intro/src/what-and-why/ligo-counter.religo Normal file
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@ -0,0 +1,26 @@
type storage = int;
type parameter =
Increment (int)
| Decrement (int)
| Reset;
type return = (list (operation), storage);
(* Two entrypoints *)
let add = ((store, delta) : (storage, int)) : storage => store + delta;
let sub = ((store, delta) : (storage, int)) : storage => store - delta;
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
let main = ((action, store) : (parameter, storage)) : return => {
(([] : list (operation)), // No operations
(switch (action) {
| Increment (n) => add ((store, n))
| Decrement (n) => sub ((store, n))
| Reset => 0
}))
};

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gitlab-pages/docs/intro/what-and-why.md
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@ -1,14 +1,73 @@
---
id: what-and-why
title: What & Why
title: Michelson and LIGO
---
Before we get into what LIGO is and why LIGO needs to exist, let's take a look at what options the Tezos blockchain offers us out of the box. If you want to implement smart contracts natively on Tezos, you have to learn [Michelson](https://tezos.gitlab.io/whitedoc/michelson.html).
Before we get into what LIGO is and why LIGO needs to exist, let us
take a look at what options the Tezos blockchain offers us out of the
box. If you want to implement smart contracts natively on Tezos, you
have to learn
[Michelson](https://tezos.gitlab.io/whitedoc/michelson.html).
> 💡 The (Michelson) language is stack-based, with high level data types and primitives and strict static type checking.
**The rationale and design of Michelson**
The language native to the Tezos blockchain for writing smart
contracts is *Michelson*, a Domain-Specific Language (DSL) inspired by
Lisp and Forth. This unusual lineage aims at satisfying unusual
constraints, but entails some tensions in the design.
Here's an example of Michelson code:
First, to measure stepwise gas consumption, *Michelson is interpreted*.
On the one hand, to assess gas usage per instruction, instructions
should be simple, which points to low-level features (a RISC-like
language). On the other hand, it was originally thought that users
will want to write in Michelson instead of lowering a language to
Michelson, because the gas cost would otherwise be harder to
predict. This means that *high-level features* were deemed necessary
(like a restricted variant of Lisp lambdas, a way to encode algebraic
data types, as well as built-in sets, maps and lists).
To avoid ambiguous and otherwise misleading contracts, the layout of
Michelson contracts has been constrained (e.g., indentation, no
UTF-8), and a *canonical form* was designed and enforced when storing
contracts on the chain.
To reduce the size of the code, Michelson was designed as *a
stack-based language*, whence the lineage from Forth and other
concatenative languages like PostScript, Joy, Cat, Factor etc. (Java
bytecode would count too.)
Programs in those languages are *compact* because they assume an
implicit stack in which some input values are popped, and output
values are pushed, according to the current instruction being
executed.
*Each Michelson instruction modifies a prefix of the stack*, that is,
a segment starting at the top.
Whilst the types of Michelson instructions can be polymorphic, their
instantiations must be monomorphic, hence *Michelson instructions are
not first-class values* and cannot be partially interpreted.
This enables a simple *static type checking*, as opposed to a complex
type inference. It can be performed efficiently: *contract type
checking consumes gas*. Basically, type checking aims at validating
the composition of instructions, therefore is key to safely composing
contracts (concatenation, activations). Once a contract passes type
checking, it cannot fail due to inconsistent assumptions on the
storage and other values (there are no null values, no casts), but it
can still fail for other reasons: division by zero, token exhaustion,
gas exhaustion, or an explicit `FAILWITH` instruction. This property
is called *type safety*. Also, such a contract cannot remain stuck:
this is the *progress property*.
The existence of a formal type system for Michelson, of a formal
specification of its dynamic semantics (evaluation), of a Michelson
interpreter in Coq, of proofs in Coq of properties of some typical
contracts, all those achievements are instances of *formal methods in
Tezos*.
Here is an example of a Michelson contract.
**`counter.tz`**
```text
@ -21,111 +80,160 @@ Here's an example of Michelson code:
NIL operation ; PAIR } }
```
The contract above maintains an `int` in its storage. It has two entrypoints *(functions)* `add` and `sub` to modify it, and the default *entrypoint* of type unit will reset it to 0.
The contract above maintains an `int` as its storage. It has two
[entrypoints](https://tezos.gitlab.io/whitedoc/michelson.html#entrypoints),
`add` and `sub`, to modify it, and the `default` entrypoint of type
`unit` will reset it to `0`.
The contract itself contains three main parts:
The contract itself contains three sections:
- `parameter` - The argument provided by a transaction invoking the contract.
- `storage` - The type definition for the contract's data storage.
- `code` - Actual Michelson code that has the provided parameter and
the current storage value in its initial stack. It outputs in the
resulting stack a pair made of a list of operations and a new
storage value.
- `parameter` - Argument provided by a transaction invoking the contract
- `storage` - Type definition for the contract's data storage.
- `code` - Actual Michelson code that has the provided parameter & the current storage value in its initial stack. It outputs a pair of operations and a new storage value as its resulting stack.
Michelson code consists of *instructions* like `IF_LEFT`, `PUSH ...`,
`UNPAIR` etc. that are composed sequentially in what is called a
*sequence*. The implicit stack contains at all times the state of the
evaluation of the program, whilst the storage represents the
persistent state. If the contract execution is successful, the new
storage state will be committed to the chain and become visible to all
the nodes. Instructions are used to transform a prefix of the stack,
that is, the topmost part of it, for example, by duplicating its top
element, dropping it, subtracting the first two etc.
Michelson code consists of *instructions* like `IF_LEFT`, `PUSH ...`, `UNPAIR` that are bundled togeter in what is called a *sequence*. Stack represents an intermediate state of the program, while **storage represents a persistent state**. Instructions are used to modify the run-time stack in order to yield a desired stack value when the program terminates.
> 💡 A Michelson program running on the Tezos blockchain is meant to
> output a pair of values including a `list of operations` to include
> in a transaction, and a new `storage` value to persist on the chain.
> 💡 A Michelson program running on the Tezos blockchain is meant to output a pair of values including a `list of operations` to emit and a new `storage` value to persist
## Stack versus variables
## Differences between a stack and traditional variable management
Stack management might be a little bit challanging, especially if you're coming from a *C-like language*. Let's implement a similar program in Javascript:
Perhaps the biggest challenge when programming in Michelson is the
lack of *variables* to denote the data: the stack layout has to be
kept in mind when retrieving and storing data. For example, let us
implement a program in Javascript that is similar to the Michelson
above:
**`counter.js`**
```javascript
var storage = 0;
function add(a) {
storage += a
}
function add (a) { storage += a; }
function sub (a) { storage -= a; }
function sub(a) {
storage -= a
}
// We are calling this function "reset" instead of "default"
// because `default` is a Javascript keyword
// We're calling this function reset instead of default
// because `default` is a javascript keyword
function reset() {
storage = 0;
}
function reset () { storage = 0; }
```
In our javascript program the initial `storage` value is `0` and it can be modified by running the functions `add(a)`, `sub(a)` and `reset()`.
In our Javascript program the initial `storage` value is `0` and it
can be modified by calling `add (a)`, `sub (a)` and `reset ()`.
Unfortunately (???), we **can't run Javascript on the Tezos blockchain** at the moment. But we can choose LIGO, which will abstract the stack management and allow us to create readable, type-safe, and efficient smart contracts.
We cannot run Javascript on the Tezos blockchain, but we can choose
LIGO, which will abstract the stack management and allow us to create
readable, type-safe, and efficient smart contracts.
> 💡 You can try running the javascript program [here](https://codepen.io/maht0rz/pen/dyyvoPQ?editors=0012)
## LIGO for Programming Smart Contracts on Tezos
## C-like smart contracts instead of Michelson
Perhaps the most striking feature of LIGO is that it comes in
different concrete syntaxes, and even different programming
paradigms. In other words, LIGO is not defined by one syntax and one
paradigm, like imperative versus functional.
Let's take a look at a similar LIGO program. Don't worry if it's a little confusing at first; we'll explain all the syntax in the upcoming sections of the documentation.
- There is **PascaLIGO**, which is inspired by Pascal, hence is an
imperative language with lots of keywords, where values can be
locally mutated after they have been annotated with their types
(declaration).
- There is **CameLIGO**, which is inspired by the pure subset of
[OCaml](https://ocaml.org/), hence is a functional language with
few keywords, where values cannot be mutated, but still require
type annotations (unlike OCaml, whose compiler performs almost
full type inference).
- There is **ReasonLIGO**, which is inspired by the pure subset of
[ReasonML](https://reasonml.github.io/), which is based upon
OCaml.
Let us decline the same LIGO contract in the three flavours above. Do
not worry if it is a little confusing at first; we will explain all
the syntax in the upcoming sections of the documentation.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo
type action is
| Increment of int
| Decrement of int
| Reset of unit
```pascaligo group=a
type storage is int
function main (const p : action ; const s : int) : (list(operation) * int) is
block { skip } with ((nil : list(operation)),
case p of
| Increment(n) -> s + n
| Decrement(n) -> s - n
| Reset(n) -> 0
type parameter is
Increment of int
| Decrement of int
| Reset
type return is list (operation) * storage
function main (const action : parameter; const store : storage) : return is
((nil : list (operation)),
case action of
Increment (n) -> store + n
| Decrement (n) -> store - n
| Reset -> 0
end)
```
<!--CameLIGO-->
```cameligo
type action =
| Increment of int
| Decrement of int
| Reset of unit
```cameligo group=a
type storage = int
let main (p, s: action * int) : operation list * int =
let result =
match p with
| Increment n -> s + n
| Decrement n -> s - n
| Reset n -> 0
in
(([]: operation list), result)
type parameter =
Increment of int
| Decrement of int
| Reset
type return = operation list * storage
let main (action, store : parameter * storage) : return =
([] : operation list),
(match action with
Increment n -> store + n
| Decrement n -> store - n
| Reset -> 0)
```
<!--ReasonLIGO-->
```reasonligo
type action =
| Increment(int)
| Decrement(int)
| Reset(unit);
```reasonligo group=a
type storage = int;
let main = ((p,s): (action, int)) : (list(operation), int) => {
let result =
switch (p) {
| Increment(n) => s + n
| Decrement(n) => s - n
| Reset n => 0
};
(([]: list(operation)), result);
type parameter =
Increment (int)
| Decrement (int)
| Reset;
type return = (list (operation), storage);
let main = ((action, store): (parameter, storage)) : return => {
(([] : list (operation)),
(switch (action) {
| Increment (n) => store + n
| Decrement (n) => store - n
| Reset => 0}));
};
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--
> 💡 You can find the Michelson compilation output of the contract -->
<!--above in **`ligo-counter.tz`** -->
> 💡 You can find the Michelson compilation output of the contract above in **`ligo-counter.tz`**
This LIGO contract behaves almost exactly* like the Michelson
contract we saw first, and it accepts the following LIGO expressions:
`Increment(n)`, `Decrement(n)` and `Reset`. Those serve as
`entrypoint` identification, same as `%add` `%sub` or `%default` in
the Michelson contract.
The LIGO contract behaves exactly* like the Michelson contract we've saw first, and it accepts the following LIGO expressions/values: `Increment(n)`, `Decrement(n)` and `Reset(n)`. Those serve as `entrypoint` identification, same as `%add` `%sub` or `%default` in the Michelson contract.
**not exactly, the Michelson contract also checks if the `AMOUNT` sent is `0`*
**The Michelson contract also checks if the `AMOUNT` sent is `0`*
---

17
gitlab-pages/docs/language-basics/boolean-if-else.md
View File

@ -9,7 +9,7 @@ The type of a boolean value is `bool`. Here is how to define a boolean
value:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
const a : bool = True // Notice the capital letter
const b : bool = False // Same.
@ -19,7 +19,6 @@ const b : bool = False // Same.
let a : bool = true
let b : bool = false
```
<!--ReasonLIGO-->
```reasonligo group=a
let a : bool = true;
@ -27,8 +26,7 @@ let b : bool = false;
```
<!--END_DOCUSAURUS_CODE_TABS-->
## Comparing two Values
## Comparing Values
In LIGO, only values of the same type can be compared. Moreover, not
all values of the same type can be compared, only those with
@ -42,7 +40,7 @@ function.
### Comparing Strings
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
const a : string = "Alice"
const b : string = "Alice"
@ -62,11 +60,10 @@ let c : bool = (a == b); // true
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Comparing numbers
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
const a : int = 5
const b : int = 4
@ -102,14 +99,13 @@ let h : bool = (a != b);
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Comparing tez
> 💡 Comparing `tez` values is especially useful when dealing with an
> amount sent in a transaction.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=d
const a : tez = 5mutez
const b : tez = 10mutez
@ -136,7 +132,7 @@ Conditional logic enables forking the control flow depending on the
state.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=e
type magnitude is Small | Large // See variant types.
@ -183,5 +179,4 @@ ligo run-function
gitlab-pages/docs/language-basics/boolean-if-else/cond.religo compare 21n'
# Outputs: Large
```
<!--END_DOCUSAURUS_CODE_TABS-->

93
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@ -3,47 +3,42 @@ id: functions
title: Functions
---
Writing code is fun as long as it does not get out of hand. To make
sure our code does not turn into spaghetti, we can structure some
logic into functions.
LIGO features functions are the basic building block of contracts. For
example, entrypoints are functions.
## Blocks
## Declaring Functions
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
There are two ways in PascaLIGO to define functions: with or without a
*block*.
### Blocks
In PascaLIGO, *blocks* enable the sequential composition of
instructions into an isolated scope. Each block needs to include at
least one instruction. If we need a placeholder, we use the
instruction `skip` which leaves the state unchanged. The rationale
for `skip` instead of a truly empty block is that it prevents you from
writing an empty block by mistake.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
least one instruction.
```pascaligo skip
// terse style
block { a := a + 1 }
// verbose style
begin
a := a + 1
end
```
Blocks are more versatile than simply containing instructions:
they can also include *declarations* of values, like so:
If we need a placeholder, we use the instruction `skip` which leaves
the state unchanged. The rationale for `skip` instead of a truly
empty block is that it prevents you from writing an empty block by
mistake.
```pascaligo skip
// terse style
block { const a : int = 1 }
// verbose style
begin
const a : int = 1
end
block { skip }
```
<!--END_DOCUSAURUS_CODE_TABS-->
Blocks are more versatile than simply containing instructions: they
can also include *declarations* of values, like so:
## Defining a function
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo skip
block { const a : int = 1 }
```
Functions in PascaLIGO are defined using the `function` keyword
followed by their `name`, `parameters` and `return` type definitions.
@ -60,15 +55,23 @@ function add (const a : int; const b : int) : int is
The function body consists of two parts:
- `block { <instructions and declarations> }` - logic of the function
- `with <value>` - the value returned by the function
- `block { <instructions and declarations> }` is the logic of the function;
- `with <value>` is the value returned by the function.
#### Blockless functions
### Blockless functions
Functions that can contain all of their logic into a single
*expression* can be defined without the need of a block:
```pascaligo
function identity (const n : int) : int is block { skip } with n // Bad! Empty block not needed!
function identity (const n : int) : int is n // Blockless
```
The value of the expression is implicitly returned by the
function. Another example is as follows:
Functions that can contain all of their logic into a single expression
can be defined without a block. Instead of a block, you put an
expression, whose value is implicitly returned by the function, like
so:
```pascaligo group=b
function add (const a: int; const b : int) : int is a + b
```
@ -134,10 +137,10 @@ ligo run-function gitlab-pages/docs/language-basics/src/functions/curry.mligo in
The function body is a single expression, whose value is returned.
<!--ReasonLIGO-->
Functions in ReasonLIGO are defined using the `let` keyword, like
other values. The difference is that a succession of parameters is
provided after the value name, followed by the return type.
<!--ReasonLIGO--> Functions in ReasonLIGO are defined using the `let`
keyword, like other values. The difference is that a tuple of
parameters is provided after the value name, with its type, then
followed by the return type.
Here is how you define a basic function that sums two integers:
```reasonligo group=b
@ -163,7 +166,7 @@ a key in a record or a map.
Here is how to define an anonymous function:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
function increment (const b : int) : int is
(function (const a : int) : int is a + 1) (b)
@ -194,7 +197,7 @@ ligo evaluate-value gitlab-pages/docs/language-basics/src/functions/anon.mligo a
<!--ReasonLIGO-->
```reasonligo group=c
let increment = (b : int) : int => ((a : int) : int => a + 1)(b);
let a : int = increment (1); // a = 2
let a : int = increment (1); // a == 2
```
You can check the value of `a` defined above using the LIGO compiler
@ -212,7 +215,7 @@ the use case of having a list of integers and mapping the increment
function to all its elements.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
function incr_map (const l : list (int)) : list (int) is
list_map (function (const i : int) : int is i + 1, l)
@ -226,7 +229,7 @@ gitlab-pages/docs/language-basics/src/functions/incr_map.ligo incr_map
# Outputs: [ 2 ; 3 ; 4 ]
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=c
let incr_map (l : int list) : int list =
List.map (fun (i : int) -> i + 1) l
@ -240,7 +243,7 @@ gitlab-pages/docs/language-basics/src/functions/incr_map.mligo incr_map
# Outputs: [ 2 ; 3 ; 4 ]
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=c
let incr_map = (l : list (int)) : list (int) =>
List.map ((i : int) => i + 1, l);

76
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View File

@ -7,36 +7,37 @@ title: Loops
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
General iteration in PascaLIGO takes the shape of "while" loops, which
should be familiar to programmers of imperative languages. Those loops
are of the form `while <condition> <block>`. Their associated block is
repeatedly evaluated until the condition becomes true, or never
evaluated if the condition is false at the start. The loop never
terminates if the condition never becomes true. Because we are writing
smart contracts on Tezos, when the condition of a "while" loops fails
to become true, the execution will run out of gas and stop with a
failure anyway.
General iteration in PascaLIGO takes the shape of general loops, which
should be familiar to programmers of imperative languages as "while
loops". Those loops are of the form `while <condition> <block>`. Their
associated block is repeatedly evaluated until the condition becomes
true, or never evaluated if the condition is false at the start. The
loop never terminates if the condition never becomes true. Because we
are writing smart contracts on Tezos, when the condition of a "while"
loops fails to become true, the execution will run out of gas and stop
with a failure anyway.
Here is how to compute the greatest common divisors of two natural
number by means of Euclid's algorithm:
```pascaligo group=a
function gcd (var x : nat; var y : nat) : nat is block {
if x < y then
block {
const z : nat = x;
x := y; y := z
function gcd (var x : nat; var y : nat) : nat is
block {
if x < y then
block {
const z : nat = x;
x := y; y := z
}
else skip;
var r : nat := 0n;
while y =/= 0n block {
r := x mod y;
x := y;
y := r
}
else skip;
var r : nat := 0n;
while y =/= 0n block {
r := x mod y;
x := y;
y := r
}
} with x
} with x
```
You can call the function `gcd` defined above using the LIGO compiler
@ -64,6 +65,9 @@ to have a special type: if the type of the accumulator is `t`, then it
must have the type `bool * t` (not simply `t`). It is the boolean
value that denotes whether the stopping condition has been reached.
Here is how to compute the greatest common divisors of two natural
number by means of Euclid's algorithm:
```cameligo group=a
let iter (x,y : nat * nat) : bool * (nat * nat) =
if y = 0n then false, (x,y) else true, (y, x mod y)
@ -86,7 +90,6 @@ let gcd (x,y : nat * nat) : nat =
let x,y = Loop.fold_while iter (x,y)
in x
```
You can call the function `gcd` defined above using the LIGO compiler
like so:
```shell
@ -113,6 +116,9 @@ accumulator is `t`, then it must have the type `bool * t` (not simply
`t`). It is the boolean value that denotes whether the stopping
condition has been reached.
Here is how to compute the greatest common divisors of two natural
number by means of Euclid's algorithm:
```reasonligo group=a
let iter = ((x,y) : (nat, nat)) : (bool, (nat, nat)) =>
if (y == 0n) { (false, (x,y)); } else { (true, (y, x mod y)); };
@ -139,15 +145,15 @@ let gcd = ((x,y) : (nat, nat)) : nat => {
```
<!--END_DOCUSAURUS_CODE_TABS-->
## For Loops
## Bounded Loops
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
In addition to general loops, PascaLIGO features a specialised kind of
*loop to iterate over bounded intervals*. These loops are familiarly
known as "for loops" and they have the form `for <variable assignment> to
<upper bound> <block>`, which is familiar for programmers of
imperative languages.
To iterate over a range of integers you use a loop of the form `for
<variable assignment> to <upper integer bound> <block>`, which is
familiar for programmers of imperative languages. Note that, for the
sake of generality, the bounds are of type `int`, not `nat`.
Consider how to sum integers from `0` to `n`:
```pascaligo group=c
function sum (var n : nat) : int is block {
@ -158,6 +164,8 @@ function sum (var n : nat) : int is block {
} with acc
```
(Please do not use that function: there exists a closed form formula.)
You can call the function `sum` defined above using the LIGO compiler
like so:
```shell
@ -165,11 +173,6 @@ ligo run-function
gitlab-pages/docs/language-basics/src/loops/sum.ligo sum 7n
# Outputs: 28
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
PascaLIGO "for" loops can also iterate through the contents of a
collection, that is, a list, a set or a map. This is done with a loop
@ -230,4 +233,3 @@ gitlab-pages/docs/language-basics/src/loops/collection.ligo sum_map
'map ["1"->1; "2"->2; "3"->3]'
# Outputs: ( "123", 6 )
```
<!--END_DOCUSAURUS_CODE_TABS-->

289
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View File

@ -17,7 +17,8 @@ special operator (`.`).
Let us first consider and example of record type declaration.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
type user is
record [
@ -27,7 +28,7 @@ type user is
]
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=a
type user = {
id : nat;
@ -36,7 +37,7 @@ type user = {
}
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=a
type user = {
id : nat,
@ -49,7 +50,7 @@ type user = {
And here is how a record value is defined:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
const alice : user =
record [
@ -59,7 +60,7 @@ const alice : user =
]
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=a
let alice : user = {
id = 1n;
@ -68,7 +69,7 @@ let alice : user = {
}
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=a
let alice : user = {
id : 1n,
@ -80,21 +81,21 @@ let alice : user = {
### Accessing Record Fields
If we want the contents of a given field, we use the `.` infix
If we want the contents of a given field, we use the (`.`) infix
operator, like so:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
const alice_admin : bool = alice.is_admin
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=a
let alice_admin : bool = alice.is_admin
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=a
let alice_admin: bool = alice.is_admin;
```
@ -118,7 +119,7 @@ points on a plane.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
type point is record [x : int; y : int; z : int]
type vector is record [dx : int; dy : int]
@ -142,7 +143,7 @@ You have to understand that `p` has not been changed by the functional
update: a namless new version of it has been created and returned by
the blockless function.
<!--Cameligo-->
<!--CameLIGO-->
The syntax for the functional updates of record in CameLIGO follows
that of OCaml:
@ -156,7 +157,6 @@ let origin : point = {x = 0; y = 0; z = 0}
let xy_translate (p, vec : point * vector) : point =
{p with x = p.x + vec.dx; y = p.y + vec.dy}
```
<!--END_DOCUSAURUS_CODE_TABS-->
You can call the function `xy_translate` defined above by running the
following command of the shell:
@ -171,7 +171,7 @@ xy_translate "({x=2;y=3;z=1}, {dx=3;dy=4})"
> functional update: a nameless new version of it has been created and
> returned.
<!--Reasonligo-->
<!--ReasonLIGO-->
The syntax for the functional updates of record in ReasonLIGO follows
that of OCaml:
@ -187,7 +187,7 @@ let xy_translate = ((p, vec) : (point, vector)) : point =>
```
<!--END_DOCUSAURUS_CODE_TABS-->
You can call the function `x_translation` defined above by running the
You can call the function `xy_translate` defined above by running the
following command of the shell:
```shell
ligo run-function
@ -213,9 +213,6 @@ name "patch").
Let us consider defining a function that translates three-dimensional
points on a plane.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=c
type point is record [x : int; y : int; z : int]
type vector is record [dx : int; dy : int]
@ -273,9 +270,10 @@ type vector is record [dx : int; dy : int]
const origin : point = record [x = 0; y = 0; z = 0]
function xy_translate (var p : point; const vec : vector) : point is block {
const p : point = p with record [x = p.x + vec.dx; y = p.y + vec.dy]
} with p
function xy_translate (var p : point; const vec : vector) : point is
block {
const p : point = p with record [x = p.x + vec.dx; y = p.y + vec.dy]
} with p
```
You can call the new function `xy_translate` defined above by running the
@ -289,9 +287,6 @@ xy_translate "(record [x=2;y=3;z=1], record [dx=3;dy=4])"
The hiding of a variable by another (here `p`) is called `shadowing`.
<!--END_DOCUSAURUS_CODE_TABS-->
## Maps
*Maps* are a data structure which associate values of the same type to
@ -304,19 +299,19 @@ Here is how a custom map from addresses to a pair of integers is
defined.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=f
type move is int * int
type register is map (address, move)
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=f
type move = int * int
type register = (address, move) map
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=f
type move = (int, int);
type register = map (address, move);
@ -326,7 +321,7 @@ type register = map (address, move);
And here is how a map value is defined:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=f
const moves : register =
@ -340,7 +335,7 @@ const moves : register =
> address)` means that we cast a string into an address. Also, `map`
> is a keyword.
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=f
let moves : register =
Map.literal [
@ -353,7 +348,7 @@ let moves : register =
> separate individual map entries. `("<string value>": address)`
> means that we type-cast a string into an address.
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=f
let moves : register =
Map.literal ([
@ -375,19 +370,19 @@ associated to a given key (`address` here) in the register. Here is an
example:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=f
const my_balance : option (move) =
moves [("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address)]
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=f
let my_balance : move option =
Map.find_opt ("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address) moves
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=f
let my_balance : option (move) =
Map.find_opt (("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address), moves);
@ -400,7 +395,7 @@ the reader to account for a missing key in the map. This requires
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=f
function force_access (const key : address; const moves : register) : move is
case moves[key] of
@ -409,7 +404,7 @@ function force_access (const key : address; const moves : register) : move is
end
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=f
let force_access (key, moves : address * register) : move =
match Map.find_opt key moves with
@ -417,7 +412,7 @@ let force_access (key, moves : address * register) : move =
| None -> (failwith "No move." : move)
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=f
let force_access = ((key, moves) : (address, register)) : move => {
switch (Map.find_opt (key, moves)) {
@ -438,7 +433,7 @@ those operations are called *updates*.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
The values of a PascaLIGO map can be updated using the usual
assignment syntax `<map variable>[<key>] := <new value>`. Let us
@ -464,7 +459,7 @@ function assignments (var m : register) : register is
} with m
```
<!--Cameligo-->
<!--CameLIGO-->
We can update a binding in a map in CameLIGO by means of the
`Map.update` built-in function:
@ -479,7 +474,7 @@ let assign (m : register) : register =
> use `None` instead, that would have meant that the binding is
> removed.
<!--Reasonligo-->
<!--ReasonLIGO-->
We can update a binding in a map in ReasonLIGO by means of the
`Map.update` built-in function:
@ -501,7 +496,7 @@ To remove a binding from a map, we need its key.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
In PascaLIGO, there is a special instruction to remove a binding from
a map.
@ -512,13 +507,19 @@ function delete (const key : address; var moves : register) : register is
} with moves
```
<!--Cameligo-->
<!--CameLIGO-->
In CameLIGO, we use the predefined function `Map.remove` as follows:
```cameligo group=f
let delete (key, moves : address * register) : register =
Map.remove key moves
```
<!--Reasonligo-->
<!--ReasonLIGO-->
In ReasonLIGO, we use the predefined function `Map.remove` as follows:
```reasonligo group=f
let delete = ((key, moves) : (address, register)) : register => {
Map.remove (key, moves);
@ -528,51 +529,85 @@ let delete = ((key, moves) : (address, register)) : register => {
<!--END_DOCUSAURUS_CODE_TABS-->
### Iterating Functionally over a Map
### Functional Iteration over Maps
A *functional iterator* is a function that traverses a data structure
and calls in turn a given function over the elements of that structure
to compute some value. Another approach is possible in PascaLIGO:
*loops* (see the relevant section).
There are three kinds of functional iteration over LIGO maps: `iter`,
`map` and `fold`. The first, `iter`, is an iteration over the map with
There are three kinds of functional iterations over LIGO maps: the
*iterated operation*, the *map operation* (not to be confused with the
*map data structure*) and the *fold operation*.
#### Iterated Operation
The first, the *iterated operation*, is an iteration over the map with
no return value: its only use is to produce side-effects. This can be
useful if for example you would like to check that each value inside
of a map is within a certain range, and fail with an error otherwise.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the
iterated operation over maps is called `map_iter`. In the following
example, the register of moves is iterated to check that the start of
each move is above `3`.
```pascaligo group=f
function iter_op (const m : register) : unit is
block {
function aggregate (const i : address; const j : move) : unit is block
{ if j.1 > 1 then skip else failwith ("Below range.") } with unit
} with map_iter (aggregate, m)
function iterated (const i : address; const j : move) : unit is
if j.1 > 3 then Unit else (failwith ("Below range.") : unit)
} with map_iter (iterated, m)
```
<!--Cameligo-->
> The iterated function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
In CameLIGO, the predefinded functional iterator implementing the
iterated operation over maps is called `Map.iter`. In the following
example, the register of moves is iterated to check that the start of
each move is above `3`.
```cameligo group=f
let iter_op (m : register) : unit =
let assert_eq = fun (i,j : address * move) -> assert (j.0 > 1)
in Map.iter assert_eq m
let predicate = fun (i,j : address * move) -> assert (j.0 > 3)
in Map.iter predicate m
```
<!--Reasonligo-->
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iterator implementing the
iterated operation over maps is called `Map.iter`. In the following
example, the register of moves is iterated to check that the start of
each move is above `3`.
```reasonligo group=f
let iter_op = (m : register) : unit => {
let assert_eq = ((i,j) : (address, move)) => assert (j[0] > 1);
Map.iter (assert_eq, m);
let predicate = ((i,j) : (address, move)) => assert (j[0] > 3);
Map.iter (predicate, m);
};
```
<!--END_DOCUSAURUS_CODE_TABS-->
#### Map Operation
We may want to change all the bindings of a map by applying to them a
function. This is also called a *map operation*, as opposed to the
*map data structure* we have been presenting.
function. This is called a *map operation*, not to be confused with
the map data structure.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the map
operation over maps is called `map_map`and is used as follows:
```pascaligo group=f
function map_op (const m : register) : register is
block {
@ -581,49 +616,78 @@ function map_op (const m : register) : register is
} with map_map (increment, m)
```
<!--Cameligo-->
> The mapped function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
In CameLIGO, the predefined functional iterator implementing the map
operation over maps is called `Map.map` and is used as follows:
```cameligo group=f
let map_op (m : register) : register =
let increment = fun (i,j : address * move) -> j.0, j.1 + 1
in Map.map increment m
```
<!--Reasonligo-->
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iteratir implementing the map
operation over maps is called `Map.map` and is used as follows:
```reasonligo group=f
let map_op = (m : register) : register => {
let increment = ((i,j): (address, move)) => (j[0], j[1] + 1);
Map.map(increment, m);
Map.map (increment, m);
};
```
<!--END_DOCUSAURUS_CODE_TABS-->
A *fold operation* is the most general of iterations. The iterated
#### Fold Operation
A *fold operation* is the most general of iterations. The folded
function takes two arguments: an *accumulator* and the structure
*element* at hand, with which it then produces a new accumulator. This
enables having a partial result that becomes complete when the
traversal of the data structure is over.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the fold
operation over maps is called `map_fold` and is used as follows:
```pascaligo group=f
function fold_op (const m : register) : int is block {
function aggregate (const j : int; const cur : address * move) : int is
function iterated (const j : int; const cur : address * move) : int is
j + cur.1.1
} with map_fold (aggregate, m, 5)
} with map_fold (iterated, m, 5)
```
<!--Cameligo-->
> The folded function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
In CameLIGO, the predefined functional iterator implementing the fold
operation over maps is called `Map.fold` and is used as follows:
```cameligo group=f
let fold_op (m : register) : register =
let aggregate = fun (i,j : int * (address * move)) -> i + j.1.1
in Map.fold aggregate m 5
let iterated = fun (i,j : int * (address * move)) -> i + j.1.1
in Map.fold iterated m 5
```
<!--Reasonligo-->
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iterator implementing the
fold operation over maps is called `Map.fold` and is used as follows:
```reasonligo group=f
let fold_op = (m : register) : register => {
let aggregate = ((i,j): (int, (address, move))) => i + j[1][1];
Map.fold (aggregate, m, 5);
let iterated = ((i,j): (int, (address, move))) => i + j[1][1];
Map.fold (iterated, m, 5);
};
```
@ -643,32 +707,32 @@ interface for big maps is analogous to the one used for ordinary maps.
Here is how we define a big map:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=g
type move is int * int
type register is big_map (address, move)
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=g
type move = int * int
type register = (address, move) big_map
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=g
type move = (int, int);
type register = big_map(address, move);
type register = big_map (address, move);
```
<!--END_DOCUSAURUS_CODE_TABS-->
And here is how a map value is created:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=g
const moves : register =
@ -682,7 +746,7 @@ const moves : register =
> `("<string value>" : address)` means that we cast a string into an
> address.
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=g
let moves : register =
@ -696,7 +760,7 @@ let moves : register =
> separating individual map entries. The annotated value `("<string
> value>" : address)` means that we cast a string into an address.
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=g
let moves : register =
@ -713,28 +777,30 @@ let moves : register =
<!--END_DOCUSAURUS_CODE_TABS-->
### Accessing Values by Key
### Accessing Values
If we want to access a move from our `register` above, we can use the
postfix `[]` operator to read the associated `move` value. However,
the value we read is an optional value: in our case, of type `option
(move)`. Here is an example:
the value we read is an optional value (in our case, of type `option
(move)`), to account for a missing key. Here is an example:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=g
const my_balance : option (move) =
moves [("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address)]
```
<!--Cameligo-->
<!--CameLIGO-->
```cameligo group=g
let my_balance : move option =
Big_map.find_opt ("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address) moves
```
<!--Reasonligo-->
<!--ReasonLIGO-->
```reasonligo group=g
let my_balance : option (move) =
@ -742,23 +808,25 @@ let my_balance : option (move) =
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Updating a Big Map
### Updating Big Maps
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
The values of a PascaLIGO big map can be updated using the
assignment syntax for ordinary maps
```pascaligo group=g
function assign (var m : register) : register is
function add (var m : register) : register is
block {
m [("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN": address)] := (4,9)
} with m
const updated_map : register = add (moves)
```
<!--Cameligo-->
<!--CameLIGO-->
We can update a big map in CameLIGO using the `Big_map.update`
built-in:
@ -769,7 +837,7 @@ let updated_map : register =
("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN" : address) (Some (4,9)) moves
```
<!--Reasonligo-->
<!--ReasonLIGO-->
We can update a big map in ReasonLIGO using the `Big_map.update`
built-in:
@ -780,6 +848,47 @@ let updated_map : register =
(("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN": address), Some((4,9)), moves);
```
### Removing Bindings from a Map
<!--END_DOCUSAURUS_CODE_TABS-->
### Removing Bindings
Removing a binding in a map is done differently according to the LIGO
syntax.
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
PascaLIGO features a special syntactic construct to remove bindings
from maps, of the form `remove <key> from map <map>`. For example,
```pascaligo group=g
function rem (var m : register) : register is
block {
remove ("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN": address) from map moves
} with m
const updated_map : register = rem (moves)
```
<!--CameLIGO-->
In CameLIGO, the predefined function which removes a binding in a map
is called `Map.remove` and is used as follows:
```cameligo group=g
let updated_map : register =
Map.remove ("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN": address) moves
```
<!--ReasonLIGO-->
In ReasonLIGO, the predefined function which removes a binding in a map
is called `Map.remove` and is used as follows:
```reasonligo group=g
let updated_map : register =
Map.remove (("tz1gjaF81ZRRvdzjobyfVNsAeSC6PScjfQwN": address), moves)
```
<!--END_DOCUSAURUS_CODE_TABS-->

22
gitlab-pages/docs/language-basics/math-numbers-tez.md
View File

@ -18,8 +18,7 @@ adding a value of type `int` to a value of type `tez` is invalid. Note
that adding an integer to a natural number produces an integer.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
// int + int yields int
const a : int = 5 + 10
@ -50,7 +49,6 @@ const g : int = 1_000_000
>```
<!--CameLIGO-->
```cameligo group=a
// int + int yields int
let a : int = 5 + 10
@ -81,7 +79,6 @@ let g : int = 1_000_000
>```
<!--ReasonLIGO-->
```reasonligo group=a
// int + int yields int
let a : int = 5 + 10;
@ -99,7 +96,7 @@ let c : tez = 5mutez + 10mutez;
let e : nat = 5n + 10n;
// nat + int yields an int: invalid
//let f : nat = 5n + 10;
// let f : nat = 5n + 10;
let g : int = 1_000_000;
```
@ -109,7 +106,6 @@ let g : int = 1_000_000;
>```reasonligo
>let sum : tex = 100_000mutez;
>```
<!--END_DOCUSAURUS_CODE_TABS-->
## Subtraction
@ -119,7 +115,7 @@ Subtraction looks as follows.
> ⚠️ Even when subtracting two `nats`, the result is an `int`
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
const a : int = 5 - 10
@ -166,7 +162,7 @@ let d : tez = 5mutez - 1mutez;
You can multiply values of the same type, such as:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
const a : int = 5 * 5
@ -200,7 +196,7 @@ In LIGO you can divide `int`, `nat`, and `tez`. Here is how:
> ⚠️ Division of two `tez` values results into a `nat`
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=d
const a : int = 10 / 3
const b : nat = 10n / 3n
@ -248,11 +244,11 @@ let b : nat = abs (1);
<!--END_DOCUSAURUS_CODE_TABS-->
## Check if a value is a `nat`
## Checking a `nat`
You can check if a value is a `nat` by using a syntax specific
built-in function, which accepts an `int` and returns an optional
`nat`: if `Some(nat)` then the provided integer was indeed a natural
You can check if a value is a `nat` by using a predefined cast
function which accepts an `int` and returns an optional `nat`: if the
result is not `None`, then the provided integer was indeed a natural
number, and not otherwise.
<!--DOCUSAURUS_CODE_TABS-->

526
gitlab-pages/docs/language-basics/sets-lists-tuples.md
View File

@ -3,11 +3,8 @@ id: sets-lists-tuples
title: Tuples, Lists, Sets
---
Apart from complex data types such as `maps` and `records`, ligo also
exposes `tuples`, `lists` and `sets`.
> ⚠️ Make sure to pick the appropriate data type for your use case, and
> bear in mind the related gas costs.
Apart from complex data types such as `maps` and `records`, LIGO also
features `tuples`, `lists` and `sets`.
## Tuples
@ -15,16 +12,16 @@ Tuples gather a given number of values in a specific order and those
values, called *components*, can be retrieved by their index
(position). Probably the most common tuple is the *pair*. For
example, if we were storing coordinates on a two dimensional grid we
might use a pair of type `int * int` to store the coordinates `x` and
`y` as the pair value `(x,y)`. There is a *specific order*, so `(y,x)`
is not equal to `(x,y)`. The number of components is part of the type
of a tuple, so, for example, we cannot add an extra component to a
pair and obtain a triple of the same type: `(x,y)` has always a
different type from `(x,y,z)`, whereas `(y,x)` may have the same type.
might use a pair `(x,y)` to store the coordinates `x` and `y`. There
is a *specific order*, so `(y,x)` is not equal to `(x,y)`. The number
of components is part of the type of a tuple, so, for example, we
cannot add an extra component to a pair and obtain a triple of the
same type, so, for instance, `(x,y)` has always a different type from
`(x,y,z)`, whereas `(y,x)` might have the same type as `(x,y)`.
Like records, tuple components can be of arbitrary types.
### Defining a tuple
### Defining Tuples
Unlike [a record](language-basics/maps-records.md), tuple types do not
have to be defined before they can be used. However below we will give
@ -33,54 +30,55 @@ them names by *type aliasing*.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=c
```pascaligo group=tuple
type full_name is string * string // Alias
const full_name : full_name = ("Alice", "Johnson")
```
<!--CameLIGO-->
```cameligo group=c
```cameligo group=tuple
type full_name = string * string // Alias
(* The parenthesis here are optional *)
let full_name : full_name = ("Alice", "Johnson")
let full_name : full_name = ("Alice", "Johnson") // Optional parentheses
```
<!--ReasonLIGO-->
```reasonligo group=c
```reasonligo group=tuple
type full_name = (string, string); // Alias
(* The parenthesis here are optional *)
let full_name : full_name = ("Alice", "Johnson");
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Accessing an Element in a Tuple
### Accessing Components
Accessing the components of a tuple in OCaml is achieved by
[pattern matching](language-basics/unit-option-pattern-matching.md). LIGO
currently supports tuple patterns only in the parameters of functions,
not in pattern matching. In LIGO, however, we can access components by
their position in their tuple, which cannot be done in OCaml.
not in pattern matching. However, we can access components by their
position in their tuple, which cannot be done in OCaml.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
Tuple components are one-indexed like so:
```pascaligo group=c
```pascaligo group=tuple
const first_name : string = full_name.1;
```
<!--Cameligo-->
<!--CameLIGO-->
Tuple elements are zero-indexed and accessed like so:
```cameligo group=c
```cameligo group=tuple
let first_name : string = full_name.0
```
@ -88,10 +86,12 @@ let first_name : string = full_name.0
Tuple components are one-indexed like so:
```reasonligo group=c
```reasonligo group=tuple
let first_name : string = full_name[1];
```
<!--END_DOCUSAURUS_CODE_TABS-->
## Lists
Lists are linear collections of elements of the same type. Linear
@ -105,105 +105,183 @@ think of a list a *stack*, where the top is written on the left.
> 💡 Lists are useful when returning operations from a smart
> contract's entrypoint.
### Defining a List
### Defining Lists
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=b
<!--PascaLIGO-->
```pascaligo group=lists
const my_list : list (int) = list [1; 2; 2] // The head is 1
```
<!--CameLIGO-->
```cameligo group=b
```cameligo group=lists
let my_list : int list = [1; 2; 2] // The head is 1
```
<!--ReasonLIGO-->
```reasonligo group=b
```reasonligo group=lists
let my_list : list (int) = [1, 2, 2]; // The head is 1
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Adding to a List
### Adding to Lists
Lists can be augmented by adding an element before the head (or, in
terms of stack, by *pushing an element on top*). This operation is
usually called *consing* in functional languages.
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
In PascaLIGO, the *cons operator* is infix and noted `#`. It is not
symmetric: on the left lies the element to cons, and, on the right, a
list on which to cons. (The symbol is helpfully asymmetric to remind
you of that.)
```pascaligo group=lists
const larger_list : list (int) = 5 # my_list // [5;1;2;2]
```
<!--CameLIGO-->
In CameLIGO, the *cons operator* is infix and noted `::`. It is not
symmetric: on the left lies the element to cons, and, on the right, a
list on which to cons.
```cameligo group=lists
let larger_list : int list = 5 :: my_list // [5;1;2;2]
```
<!--ReasonLIGO-->
In ReasonLIGO, the *cons operator* is infix and noted `, ...`. It is
not symmetric: on the left lies the element to cons, and, on the
right, a list on which to cons.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=b
const larger_list : list (int) = 5 # my_list
```
<!--CameLIGO-->
```cameligo group=b
let larger_list : int list = 5 :: my_list
```
<!--ReasonLIGO-->
```reasonligo group=b
let larger_list : list (int) = [5, ...my_list];
```reasonligo group=lists
let larger_list : list (int) = [5, ...my_list]; // [5,1,2,2]
```
<!--END_DOCUSAURUS_CODE_TABS-->
<br/>
> 💡 Lists can be iterated, folded or mapped to different values. You
> can find additional examples
> [here](https://gitlab.com/ligolang/ligo/tree/dev/src/test/contracts)
> and other built-in operators
> [here](https://gitlab.com/ligolang/ligo/blob/dev/src/passes/operators/operators.ml#L59)
### Mapping of a List
### Functional Iteration over Lists
We may want to apply a function to all the elements of a list and
obtain the resulting list, in the same order. For example, we may want
to create a list that contains all the elements of another list
incremented by one. This is a special case of *fold operation* called
a *map operation*. Map operations (not to be confused by the
[map data structure](language-basics/maps-records.md)), are predefined
functions in LIGO. They take as a parameter the function to apply to
all the elements. Of course, that function must return a value of the
same type as the element.
A *functional iterator* is a function that traverses a data structure
and calls in turn a given function over the elements of that structure
to compute some value. Another approach is possible in PascaLIGO:
*loops* (see the relevant section).
In PascaLIGO, the map function is called `list_map`.
There are three kinds of functional iterations over LIGO maps: the
*iterated operation*, the *map operation* (not to be confused with the
*map data structure*) and the *fold operation*.
In CameLIGO and ReasonLIGO, the map function is called `List.map`.
#### Iterated Operation
The first, the *iterated operation*, is an iteration over the map with
no return value: its only use is to produce side-effects. This can be
useful if for example you would like to check that each value inside
of a map is within a certain range, and fail with an error otherwise.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=b
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the
iterated operation over lists is called `list_iter`.
In the following example, a list is iterated to check that all its
elements (integers) are greater than `3`:
```pascaligo group=lists
function iter_op (const l : list (int)) : unit is
block {
function iterated (const i : int) : unit is
if i > 2 then Unit else (failwith ("Below range.") : unit)
} with list_iter (iterated, l)
```
> The iterated function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
In CameLIGO, the predefined functional iterator implementing the
iterated operation over lists is called `List.iter`.
In the following example, a list is iterated to check that all its
elements (integers) are greater than `3`:
```cameligo group=lists
let iter_op (l : int list) : unit =
let predicate = fun (i : int) -> assert (i > 3)
in List.iter predicate l
```
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iterator implementing the
iterated operation over lists is called `List.iter`.
In the following example, a list is iterated to check that all its
elements (integers) are greater than `3`:
```reasonligo group=lists
let iter_op = (l : list (int)) : unit => {
let predicate = (i : int) => assert (i > 3);
List.iter (predicate, l);
};
```
<!--END_DOCUSAURUS_CODE_TABS-->
#### Map Operation
We may want to change all the elements of a given list by applying to
them a function. This is called a *map operation*, not to be confused
with the map data structure.
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the map
operation over lists is called `list_map` and is used as follows:
```pascaligo group=lists
function increment (const i : int): int is i + 1
// Creates a new list with all elements incremented by 1
const plus_one : list (int) = list_map (increment, larger_list)
```
<!--CameLIGO-->
```cameligo group=b
In CameLIGO, the predefined functional iterator implementing the map
operation over lists is called `List.map` and is used as follows:
```cameligo group=lists
let increment (i : int) : int = i + 1
// Creates a new list with all elements incremented by 1
let plus_one : int list = List.map increment larger_list
```
<!--ReasonLIGO-->
```reasonligo group=b
In ReasonLIGO, the predefined functional iterator implementing the map
operation over lists is called `List.map` and is used as follows:
```reasonligo group=lists
let increment = (i : int) : int => i + 1;
// Creates a new list with all elements incremented by 1
@ -212,33 +290,51 @@ let plus_one : list (int) = List.map (increment, larger_list);
<!--END_DOCUSAURUS_CODE_TABS-->
### Folding of over a List
#### Fold Operation
A *fold operation* is the most general of iterations. The folded
function takes two arguments: an *accumulator* and the structure
*element* at hand, with which it then produces a new accumulator. This
enables having a partial result that becomes complete when the
traversal of the data structure is over.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=b
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the fold
operation over lists is called `list_fold` and is used as follows:
```pascaligo group=lists
function sum (const acc : int; const i : int): int is acc + i
const sum_of_elements : int = list_fold (sum, my_list, 0)
```
> The folded function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
```cameligo group=b
In CameLIGO, the predefined functional iterator implementing the fold
operation over lists is called `List.fold` and is used as follows:
```cameligo group=lists
let sum (acc, i: int * int) : int = acc + i
let sum_of_elements : int = List.fold sum my_list 0
```
<!--ReasonLIGO-->
```reasonligo group=b
In ReasonLIGO, the predefined functional iterator implementing the
fold operation over lists is called `List.fold` and is used as follows:
```reasonligo group=lists
let sum = ((result, i): (int, int)): int => result + i;
let sum_of_elements : int = List.fold (sum, my_list, 0);
```
<!--END_DOCUSAURUS_CODE_TABS-->
## Sets
Sets are unordered collections of values of the same type, like lists
@ -249,56 +345,65 @@ whereas they can be repeated in a list.
### Empty Sets
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
<!--PascaLIGO-->
In PascaLIGO, the notation for sets is similar to that for lists,
except the keyword `set` is used before:
```pascaligo group=sets
const my_set : set (int) = set []
```
<!--CameLIGO-->
```cameligo group=a
let my_set : int set = (Set.empty : int set)
In CameLIGO, the empty set is denoted by the predefined value
`Set.empty`.
```cameligo group=sets
let my_set : int set = Set.empty
```
<!--ReasonLIGO-->
```reasonligo group=a
let my_set : set (int) = (Set.empty : set (int));
In CameLIGO, the empty set is denoted by the predefined value
`Set.empty`.
```reasonligo group=sets
let my_set : set (int) = Set.empty;
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Non-empty Sets
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
In PascaLIGO, the notation for sets is similar to that for lists,
except the keyword `set` is used before:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
```pascaligo group=sets
const my_set : set (int) = set [3; 2; 2; 1]
```
<!--END_DOCUSAURUS_CODE_TABS-->
You can check that `2` is not repeated in `my_set` by using the LIGO
compiler like this (the output will sort the elements of the set, but
that order is not significant for the compiler):
```shell
ligo evaluate-value
gitlab-pages/docs/language-basics/src/sets-lists-tuples/sets.ligo my_set
# Outputs: { 3 ; 2 ; 1 }
```
<!--CameLIGO-->
In CameLIGO, there is no predefined syntactic construct for sets: you
must build your set by adding to the empty set. (This is the way in
OCaml.)
<!--DOCUSAURUS_CODE_TABS-->
<!--CameLIGO-->
```cameligo group=a
```cameligo group=sets
let my_set : int set =
Set.add 3 (Set.add 2 (Set.add 2 (Set.add 1 (Set.empty : int set))))
```
<!--END_DOCUSAURUS_CODE_TABS-->
You can check that `2` is not repeated in `my_set` by using the LIGO
compiler like this (the output will sort the elements of the set, but
that order is not significant for the compiler):
@ -309,17 +414,16 @@ gitlab-pages/docs/language-basics/src/sets-lists-tuples/sets.mligo my_set
# Outputs: { 3 ; 2 ; 1 }
```
<!--ReasonLIGO-->
In ReasonLIGO, there is no predefined syntactic construct for sets:
you must build your set by adding to the empty set. (This is the way
in OCaml.)
<!--DOCUSAURUS_CODE_TABS-->
<!--ReasonLIGO-->
```reasonligo group=a
```reasonligo group=sets
let my_set : set (int) =
Set.add (3, Set.add (2, Set.add (2, Set.add (1, Set.empty : set (int)))));
```
<!--END_DOCUSAURUS_CODE_TABS-->
You can check that `2` is not repeated in `my_set` by using the LIGO
compiler like this (the output will sort the elements of the set, but
@ -330,25 +434,36 @@ ligo evaluate-value
gitlab-pages/docs/language-basics/src/sets-lists-tuples/sets.religo my_set
# Outputs: { 3 ; 2 ; 1 }
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Set Membership
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
PascaLIGO features a special keyword `constains` that operates like an
PascaLIGO features a special keyword `contains` that operates like an
infix operator checking membership in a set.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
```pascaligo group=sets
const contains_3 : bool = my_set contains 3
```
<!--CameLIGO-->
```cameligo group=a
In CameLIGO, the predefined predicate `Set.mem` tests for membership
in a set as follows:
```cameligo group=sets
let contains_3 : bool = Set.mem 3 my_set
```
<!--ReasonLIGO-->
```reasonligo group=a
In ReasonLIGO, the predefined predicate `Set.mem` tests for membership
in a set as follows:
```reasonligo group=sets
let contains_3 : bool = Set.mem (3, my_set);
```
<!--END_DOCUSAURUS_CODE_TABS-->
@ -357,37 +472,50 @@ let contains_3 : bool = Set.mem (3, my_set);
### Cardinal
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
<!--PascaLIGO-->
In PascaLIGO, the predefined function `size` returns the number of
elements in a given set as follows:
```pascaligo group=sets
const set_size : nat = size (my_set)
```
<!--CameLIGO-->
```cameligo group=a
In CameLIGO, the predefined function `Set.size` returns the number of
elements in a given set as follows:
```cameligo group=sets
let set_size : nat = Set.size my_set
```
<!--ReasonLIGO-->
```reasonligo group=a
In ReasonLIGO, the predefined function `Set.size` returns the number
of elements in a given set as follows:
```reasonligo group=sets
let set_size : nat = Set.size (my_set);
```
<!--END_DOCUSAURUS_CODE_TABS-->
### Adding or Removing from a Set
In PascaLIGO, there are two ways to update a set. Either we create a
new set from the given one, or we modify it in-place. First, let us
consider the former:
### Updating Sets
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
<!--PascaLIGO-->
In PascaLIGO, there are two ways to update a set, that is to add or
remove from it. Either we create a new set from the given one, or we
modify it in-place. First, let us consider the former way
```pascaligo group=sets
const larger_set : set (int) = set_add (4, my_set)
const smaller_set : set (int) = set_remove (3, my_set)
```
<!--END_DOCUSAURUS_CODE_TABS-->
If we are in a block, we can use an instruction to modify the set
bound to a given variable. This is called a *patch*. It is only
@ -400,37 +528,31 @@ this instruction is equivalent to perform the union of two sets, one
that is modified in-place, and the other given as a literal
(extensional definition).
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
```pascaligo group=sets
function update (var s : set (int)) : set (int) is block {
patch s with set [4; 7]
} with s
const new_set : set (int) = update (my_set)
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--CameLIGO-->
In CameLIGO, we update a given set by creating another one, with or
without some elements.
<!--DOCUSAURUS_CODE_TABS-->
<!--CameLIGO-->
```cameligo group=a
```cameligo group=sets
let larger_set : int set = Set.add 4 my_set
let smaller_set : int set = Set.remove 3 my_set
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--ReasonLIGO-->
In ReasonLIGO, we update a given set by creating another one, with or
without some elements.
<!--DOCUSAURUS_CODE_TABS-->
<!--ReasonLIGO-->
```reasonligo group=a
```reasonligo group=sets
let larger_set : set (int) = Set.add (4, my_set);
let smaller_set : set (int) = Set.remove (3, my_set);
@ -438,32 +560,149 @@ let smaller_set : set (int) = Set.remove (3, my_set);
<!--END_DOCUSAURUS_CODE_TABS-->
### Folding over a Set
### Functional Iteration over Sets
A *functional iterator* is a function that traverses a data structure
and calls in turn a given function over the elements of that structure
to compute some value. Another approach is possible in PascaLIGO:
*loops* (see the relevant section).
Given a set, we may want to apply a function in turn to all the
elements it contains, while accumulating some value which is returned
at the end. This is a *fold operation*. In the following example, we
sum up all the elements of the set `my_set` defined above.
There are three kinds of functional iterations over LIGO maps: the
*iterated operation*, the *map operation* (not to be confused with the
*map data structure*) and the *fold operation*.
#### Iterated Operation
In PascaLIGO, the folded function takes the accumulator first and the
(current) set element second. The predefined fold is called `set_fold`.
The first, the *iterated operation*, is an iteration over the map with
no return value: its only use is to produce side-effects. This can be
useful if for example you would like to check that each value inside
of a map is within a certain range, and fail with an error otherwise.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the
iterated operation over sets is called `set_iter`.
In the following example, a set is iterated to check that all its
elements (integers) are greater than `3`:
```pascaligo group=sets
function iter_op (const s : set (int)) : unit is
block {
function iterated (const i : int) : unit is
if i > 2 then Unit else (failwith ("Below range.") : unit)
} with set_iter (iterated, s)
```
> The iterated function must be pure, that is, it cannot mutate
> variables.
<!--CameLIGO-->
In CameLIGO, the predefined functional iterator implementing the
iterated operation over sets is called `Set.iter`.
In the following example, a set is iterated to check that all its
elements (integers) are greater than `3`:
```cameligo group=sets
let iter_op (s : int set) : unit =
let predicate = fun (i : int) -> assert (i > 3)
in Set.iter predicate s
```
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iterator implementing the
iterated operation over sets is called `Set.iter`.
In the following example, a set is iterated to check that all its
elements (integers) are greater than `3`:
```reasonligo group=sets
let iter_op = (s : set (int)) : unit => {
let predicate = (i : int) => assert (i > 3);
Set.iter (predicate, s);
};
```
<!--END_DOCUSAURUS_CODE_TABS-->
#### Map Operation
We may want to change all the elements of a given set by applying to
them a function. This is called a *map operation*, not to be confused
with the map data structure.
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the map
operation over sets is called `set_map` and is used as follows:
```pascaligo group=sets
function increment (const i : int): int is i + 1
// Creates a new set with all elements incremented by 1
const plus_one : set (int) = set_map (increment, larger_set)
```
<!--CameLIGO-->
In CameLIGO, the predefined functional iterator implementing the map
operation over sets is called `Set.map` and is used as follows:
```cameligo group=sets
let increment (i : int) : int = i + 1
// Creates a new set with all elements incremented by 1
let plus_one : int set = Set.map increment larger_set
```
<!--ReasonLIGO-->
In ReasonLIGO, the predefined functional iterator implementing the map
operation over sets is called `Set.map` and is used as follows:
```reasonligo group=sets
let increment = (i : int) : int => i + 1;
// Creates a new set with all elements incremented by 1
let plus_one : set (int) = Set.map (increment, larger_set);
```
<!--END_DOCUSAURUS_CODE_TABS-->
#### Fold Operation
A *fold operation* is the most general of iterations. The folded
function takes two arguments: an *accumulator* and the structure
*element* at hand, with which it then produces a new accumulator. This
enables having a partial result that becomes complete when the
traversal of the data structure is over.
<!--DOCUSAURUS_CODE_TABS-->
<!--PascaLIGO-->
In PascaLIGO, the predefined functional iterator implementing the fold
operation over sets is called `set_fold` and is used as follows:
```pascaligo group=sets
function sum (const acc : int; const i : int): int is acc + i
const sum_of_elements : int = set_fold (sum, my_set, 0)
```
<!--END_DOCUSAURUS_CODE_TABS-->
> The folded function must be pure, that is, it cannot mutate
> variables.
It is possible to use a *loop* over a set as well.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo group=a
```pascaligo group=sets
function loop (const s : set (int)) : int is block {
var sum : int := 0;
for element in set s block {
@ -471,27 +710,24 @@ function loop (const s : set (int)) : int is block {
}
} with sum
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--CameLIGO-->
In CameLIGO, the predefined fold over sets is called `Set.fold`.
<!--DOCUSAURUS_CODE_TABS-->
<!--CameLIGO-->
```cameligo group=a
```cameligo group=sets
let sum (acc, i : int * int) : int = acc + i
let sum_of_elements : int = Set.fold sum my_set 0
```
<!--END_DOCUSAURUS_CODE_TABS-->
<!--ReasonLIGO-->
In ReasonLIGO, the predefined fold over sets is called `Set.fold`.
<!--DOCUSAURUS_CODE_TABS-->
<!--ReasonLIGO-->
```reasonligo group=a
```reasonligo group=sets
let sum = ((acc, i) : (int, int)) : int => acc + i;
let sum_of_elements : int = Set.fold (sum, my_set, 0);
```
<!--END_DOCUSAURUS_CODE_TABS-->

24
gitlab-pages/docs/language-basics/strings.md
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@ -6,7 +6,7 @@ title: Strings
Strings are defined using the built-in `string` type like this:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```
const a : string = "Hello Alice"
```
@ -21,10 +21,10 @@ let a : string = "Hello Alice";
<!--END_DOCUSAURUS_CODE_TABS-->
## Concatenating strings
## Concatenating Strings
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
Strings can be concatenated using the `^` operator.
```pascaligo
@ -51,12 +51,12 @@ let full_greeting : string = greeting ++ " " ++ name;
<!--END_DOCUSAURUS_CODE_TABS-->
## Slicing strings
## Slicing Strings
Strings can be sliced using a built-in function:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo
const name : string = "Alice"
const slice : string = string_slice (0n, 1n, name)
@ -73,29 +73,27 @@ let slice : string = String.slice (0n, 1n, name);
```
<!--END_DOCUSAURUS_CODE_TABS-->
> ⚠️ Notice that the `offset` and slice `length` are natural numbers
> (`nat`).
> ⚠️ Notice that the offset and length of the slice are natural numbers.
## Aquiring the length of a string
## Length of Strings
The length of a string can be found using a built-in function:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo
const name : string = "Alice"
// length = 5
const length : nat = size (name)
const length : nat = size (name) // length = 5
```
<!--CameLIGO-->
```cameligo
let name : string = "Alice"
let length : nat = String.size name
let length : nat = String.size name // length = 5
```
<!--ReasonLIGO-->
```reasonligo
let name : string = "Alice";
let length : nat = String.size (name);
let length : nat = String.size (name); // length == 5
```
<!--END_DOCUSAURUS_CODE_TABS-->

19
gitlab-pages/docs/language-basics/tezos-specific.md
View File

@ -7,7 +7,7 @@ LIGO is a programming language for writing Tezos smart contracts. It
would be a little odd if it did not have any Tezos specific
functions. This page will tell you about them.
## Pack and unpack
## Pack and Unpack
Michelson provides the `PACK` and `UNPACK` instructions for data
serialization. The instruction `PACK` converts Michelson data
@ -59,11 +59,12 @@ predefined function returning a value of type `key_hash`.
<!--PascaLIGO-->
```pascaligo group=b
function check_hash_key (const kh1 : key_hash; const k2 : key) : bool * key_hash is block {
var ret : bool := False;
var kh2 : key_hash := crypto_hash_key (k2);
if kh1 = kh2 then ret := True else skip
} with (ret, kh2)
function check_hash_key (const kh1 : key_hash; const k2 : key) : bool * key_hash is
block {
var ret : bool := False;
var kh2 : key_hash := crypto_hash_key (k2);
if kh1 = kh2 then ret := True else skip
} with (ret, kh2)
```
<!--CameLIGO-->
@ -122,14 +123,14 @@ let check_signature =
<!--END_DOCUSAURUS_CODE_TABS-->
## Getting the contract's own address
## Contract's Own Address
Often you want to get the address of the contract being executed. You
can do it with `self_address`.
> ⚠️ Due to limitations in Michelson, `self_address` in a contract is
> only allowed at the entry-point level (a.k.a top-level). Using it in
> an auxiliaru function will cause an error.
> only allowed at the entrypoint level, that is, at the
> top-level. Using it in an embedded function will cause an error.
<!--DOCUSAURUS_CODE_TABS-->

114
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View File

@ -3,10 +3,10 @@ id: types
title: Types
---
LIGO is strongly and statically typed. This means that the compiler
checks your program at compilation time and, if it passes the tests,
this ensures that there will be no runtime error due to wrong
assumptions on the data. This is called *type checking*.
*LIGO is strongly and statically typed.* This means that the compiler
checks how your contract processes data. If it passes the test, your
contract will not fail at run-time due to inconsistent assumptions on
your data. This is called *type checking*.
LIGO types are built on top of Michelson's type system.
@ -23,7 +23,7 @@ alias a string type as an animal breed - this will allow us to
comunicate our intent with added clarity.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
type breed is string
const dog_breed : breed = "Saluki"
@ -51,15 +51,14 @@ let dog_breed : breed = "Saluki";
## Simple types
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
// The type accountBalances denotes maps from addresses to tez
type account_balances is map (address, tez)
const ledger : account_balances =
map
[("tz1KqTpEZ7Yob7QbPE4Hy4Wo8fHG8LhKxZSx" : address) -> 10mutez]
map [("tz1KqTpEZ7Yob7QbPE4Hy4Wo8fHG8LhKxZSx" : address) -> 10mutez]
```
@ -99,19 +98,22 @@ below you can see the definition of data types for a ledger that keeps
the balance and number of previous transactions for a given account.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
// Type aliasing
type account is address
type number_of_transactions is nat
// The type account_data is a record with two fields.
type account_data is record [
balance : tez;
transactions : number_of_transactions
]
// A ledger is a map from accounts to account_data
type ledger is map (account, account_data)
const my_ledger : ledger = map [
@ -126,14 +128,19 @@ const my_ledger : ledger = map [
<!--CameLIGO-->
```cameligo group=c
// Type aliasing
type account = address
type number_of_transactions = nat
// The type account_data is a record with two fields.
type account_data = {
balance : tez;
transactions : number_of_transactions
}
// A ledger is a map from accounts to account_data
type ledger = (account, account_data) map
let my_ledger : ledger = Map.literal
@ -144,16 +151,19 @@ let my_ledger : ledger = Map.literal
<!--ReasonLIGO-->
```reasonligo group=c
// Type aliasing
type account = address;
type number_of_transactions = nat;
// The type account_data is a record with two fields.
type account_data = {
balance : tez,
transactions : number_of_transactions
};
// A ledger is a map from accounts to account_data
type ledger = map (account, account_data);
let my_ledger : ledger =
@ -173,19 +183,91 @@ exclusive to each other).
## Annotations
In certain cases, the type of an expression cannot be properly
inferred by the compiler. In order to help the type checke, you can
inferred by the compiler. In order to help the type checker, you can
annotate an expression with its desired type. Here is an example:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
```pascaligo
type int_map is map (int, int)
function get_first (const my_map : int_map): option (int) is my_map[1]
<!--PascaLIGO-->
```pascaligo group=d
type parameter is Back | Claim | Withdraw
// The empty map always needs a type annotation
type storage is
record
owner : address;
goal : tez;
deadline : timestamp;
backers : map (address, tez);
funded : bool
end
const first : option (int) = get_first (((map end) : int_map))
type return is list (operation) * storage
function back (var action : unit; var store : storage) : return is
begin
if now > store.deadline then
failwith ("Deadline passed.")
else case store.backers[sender] of
None -> store.backers[sender] := amount
| Some (x) -> skip
end
end with ((nil : list (operation)), store) // Annotation
```
<!--CameLIGO-->
```cameligo group=d
type parameter = Back | Claim | Withdraw
type storage = {
owner : address;
goal : tez;
deadline : timestamp;
backers : (address, tez) map;
funded : bool
}
type return = operation list * storage
let back (param, store : unit * storage) : return =
let no_op : operation list = [] in
if Current.time > store.deadline then
(failwith "Deadline passed." : return) // Annotation
else
match Map.find_opt sender store.backers with
None ->
let backers = Map.update sender (Some amount) store.backers
in no_op, {store with backers=backers}
| Some (x) -> no_op, store
```
<!--ReasonLIGO-->
```reasonligo group=d
type parameter = | Back | Claim | Withdraw;
type storage = {
owner : address,
goal : tez,
deadline : timestamp,
backers : map (address, tez),
funded : bool,
};
type return = (list (operation), storage);
let back = ((param, store) : (unit, storage)) : return => {
let no_op : list (operation) = [];
if (Current.time > store.deadline) {
(failwith ("Deadline passed.") : return); // Annotation
}
else {
switch (Map.find_opt (sender, store.backers)) {
| None => {
let backers = Map.update (sender, Some (amount), store.backers);
(no_op, {...store, backers:backers}) }
| Some (x) => (no_op, store)
}
}
};
```
<!--END_DOCUSAURUS_CODE_TABS-->

26
gitlab-pages/docs/language-basics/unit-option-pattern-matching.md
View File

@ -10,21 +10,18 @@ features it as well. Both the option type and the unit types are
instances of a more general kind of types: *variant types* (sometimes
called *sum types*).
## The unit type
## The unit Type
The `unit` type in Michelson or LIGO is a predefined type that
contains only one value that carries no information. It is used when
no relevant information is required or produced. Here is how it used.
> 💡 Units come in handy when we try pattern matching on custom
> variants below.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
In PascaLIGO, the unique value of the `unit` type is `Unit`.
```pascaligo group=a
const n : unit = Unit
const n : unit = Unit // Note the capital letter
```
<!--CameLIGO-->
@ -56,11 +53,11 @@ Here is how we define a coin as being either head or tail (and nothing
else):
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=b
type coin is Head | Tail
const head : coin = Head (Unit) // Unit needed because of a bug
const tail : coin = Tail (Unit) // Unit needed because of a bug
const head : coin = Head (Unit) // Unit needed for now.
const tail : coin = Tail (Unit) // Unit needed for now.
```
<!--CameLIGO-->
@ -87,7 +84,7 @@ define different kinds of users of a system.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=c
type id is nat
@ -128,9 +125,6 @@ let g : user = Guest;
<!--END_DOCUSAURUS_CODE_TABS-->
Defining a variant can be extremely useful for building semantically
appealing contracts. We will learn how to use variants for "logic
purposes"' shortly.
## Optional values
@ -143,7 +137,7 @@ meaningful value *of any type*. An example in arithmetic is the
division operation:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=d
function div (const a : nat; const b : nat) : option (nat) is
if b = 0n then (None: option (nat)) else Some (a/b)
@ -169,10 +163,10 @@ let div = ((a, b) : (nat, nat)) : option (nat) =>
*Pattern matching* is similiar to the `switch` construct in
Javascript, and can be used to route the program's control flow based
on the value of a variant. Consider for example the definition of a
function `flip` that flips a coin, as defined above.
function `flip` that flips a coin.
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=e
type coin is Head | Tail

27
gitlab-pages/docs/language-basics/variables-and-constants.md
View File

@ -13,7 +13,7 @@ declaration. When defining a constant you need to provide a `name`,
`type` and a `value`:
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
```pascaligo group=a
const age : int = 25
```
@ -53,14 +53,11 @@ ligo evaluate-value gitlab-pages/docs/language-basics/src/variables-and-constant
## Variables
<!--DOCUSAURUS_CODE_TABS-->
<!--Pascaligo-->
<!--PascaLIGO-->
Variables, unlike constants, are mutable. They cannot be declared in a
*global scope*, but they can be declared and used within functions, or
as function parameters.
> 💡 Do not worry if you do not understand the function syntax yet. We
> will get to it in upcoming sections of this documentation.
Variables, unlike constants, are *mutable*. They cannot be declared in
a *global scope*, but they can be declared and used within functions,
or as function parameters.
> ⚠️ Please be wary that mutation only works within the function scope
> itself, values outside of the function scope will not be affected.
@ -68,7 +65,7 @@ as function parameters.
```pascaligo group=b
// The following is invalid: use `const` for global values instead.
// var four : int = 4
// var four : int := 4
function add (const a : int; const b : int) : int is
block {
@ -90,11 +87,8 @@ ligo run-function gitlab-pages/docs/language-basics/src/variables-and-constants/
<!--CameLIGO-->
As expected in the pure subset of a functional language, CameLIGO only
features constant values: once they are declared, the value cannot be
changed (or "mutated").
> 💡 Do not worry if you do not understand the function syntax yet. We
> will get to it in upcoming sections of this documentation.
features *constant values*: once they are declared, the value cannot
be changed (or "mutated").
```cameligo group=c
let add (a : int) (b : int) : int =
@ -110,12 +104,9 @@ ligo run-function gitlab-pages/docs/language-basics/src/variables-and-constants/
<!--ReasonLIGO-->
As expected in the pure subset of a functional language, ReasonLIGO
only features constant values: once they are declared, the value
only features *constant values*: once they are declared, the value
cannot be changed (or "mutated").
> 💡 Do not worry if you do not understand the function syntax yet. We
> will get to it in upcoming sections of this documentation.
```reasonligo group=c
let add = ((a, b): (int, int)): int => {
let c : int = a + b;

93
gitlab-pages/website/core/CodeExamples.js
View File

@ -3,68 +3,83 @@ const React = require('react');
const pre = '```';
const PASCALIGO_EXAMPLE = `${pre}pascaligo
// variant defining pseudo multi-entrypoint actions
type action is
| Increment of int
type storage is int
type parameter is
Increment of int
| Decrement of int
| Reset
function add (const a : int ; const b : int) : int is a + b
type return is list (operation) * storage
function subtract (const a : int ; const b : int) : int is a - b
// Two entrypoints
// real entrypoint that re-routes the flow based on the action provided
function main (const p : action ; const s : int) : (list(operation) * int) is
((nil : list(operation)),
case p of
| Increment (n) -> add (s, n)
| Decrement (n) -> subtract (s, n)
end)
function add (const store : storage; const delta : int) : storage is store + delta
function sub (const store : storage; const delta : int) : storage is store - delta
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
function main (const action : parameter; const store : storage) : return is
((nil : list (operation)), // No operations
case action of
Increment (n) -> add (store, n)
| Decrement (n) -> sub (store, n)
| Reset -> 0
end)
${pre}`;
const CAMELIGO_EXAMPLE = `${pre}ocaml
type storage = int
(* variant defining pseudo multi-entrypoint actions *)
type action =
| Increment of int
type parameter =
Increment of int
| Decrement of int
| Reset
let add (a,b: int * int) : int = a + b
let sub (a,b: int * int) : int = a - b
type return = operation list * storage
(* real entrypoint that re-routes the flow based on the action provided *)
// Two entrypoints
let main (p,s: action * storage) =
let storage =
match p with
| Increment n -> add (s, n)
| Decrement n -> sub (s, n)
in ([] : operation list), storage
let add (store, delta : storage * int) : storage = store + delta
let sub (store, delta : storage * int) : storage = store - delta
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
let main (action, store : parameter * storage) : return =
([] : operation list), // No operations
(match action with
Increment (n) -> add (store, n)
| Decrement (n) -> sub (store, n)
| Reset -> 0)
${pre}`;
const REASONLIGO_EXAMPLE = `${pre}reasonligo
type storage = int;
/* variant defining pseudo multi-entrypoint actions */
type parameter =
Increment (int)
| Decrement (int)
| Reset;
type action =
| Increment(int)
| Decrement(int);
type return = (list (operation), storage);
let add = ((a,b): (int, int)): int => a + b;
let sub = ((a,b): (int, int)): int => a - b;
(* Two entrypoints *)
/* real entrypoint that re-routes the flow based on the action provided */
let add = ((store, delta) : (storage, int)) : storage => store + delta;
let sub = ((store, delta) : (storage, int)) : storage => store - delta;
let main = ((p,storage): (action, storage)) => {
let storage =
switch (p) {
| Increment(n) => add((storage, n))
| Decrement(n) => sub((storage, n))
};
([]: list(operation), storage);
(* Main access point that dispatches to the entrypoints according to
the smart contract parameter. *)
let main = ((action, store) : (parameter, storage)) : return => {
(([] : list (operation)), // No operations
(switch (action) {
| Increment (n) => add ((store, n))
| Decrement (n) => sub ((store, n))
| Reset => 0}))
};
${pre}`;

8
gitlab-pages/website/pages/en/index.js
View File

@ -6,14 +6,14 @@ const docUrl = require(`${process.cwd()}/core/UrlUtils`).docUrl;
const FEATURES = [
{
image: 'img/strong-type-system.svg',
title: 'Strong Type System',
title: 'Strong, Static Type System',
content: 'Write types, then code. Benefit from the safety of type systems.'
},
{
image: 'img/syntax-agnostic.svg',
title: 'Syntax Agnostic',
title: 'Polyglot',
content:
'Code in your language. Write PascaLIGO, CameLIGO, or add your own syntax.'
'Code in your language. Write PascaLIGO, CameLIGO, ReasonLIGO or add your own syntax.'
},
{
image: 'img/easy-integration.svg',
@ -77,7 +77,7 @@ module.exports = props => {
</ul>
</div>
<div id="preview">
<h1>A friendly smart-contract language for Tezos</h1>
<h1>A friendly Smart Contract Language for Tezos</h1>
<p>Michelson was never so easy</p>
<CodeExamples MarkdownBlock={MarkdownBlock}></CodeExamples>
</div>

13
gitlab-pages/website/siteConfig.js
View File

@ -4,7 +4,7 @@ let reasonHighlightJs = require('reason-highlightjs');
const siteConfig = {
title: 'LIGO', // Title for your website.
tagline: 'LIGO is a friendly smart-contract language for Tezos',
tagline: 'LIGO, the friendly Smart Contract Language for Tezos',
taglineSub: 'Michelson was never so easy',
url: 'https://ligolang.org', // Your website URL
baseUrl: '/', // Base URL for your project */
@ -14,7 +14,7 @@ const siteConfig = {
// Used for publishing and more
projectName: 'ligo',
organizationName: 'marigold',
organizationName: 'TBN',
// For top-level user or org sites, the organization is still the same.
// e.g., for the https://JoelMarcey.github.io site, it would be set like...
// organizationName: 'JoelMarcey'
@ -87,10 +87,11 @@ const siteConfig = {
beginKeywords: '',
keywords: {
keyword:
'and begin block case const contains down else end fail for ' +
'from function if in is list map mod nil not of or patch ' +
'procedure record remove set skip step then to type var while with',
literal: 'true false unit int string some none bool nat list'
'and attributes begin big_map block case const contains else'
+ ' end False for from function if in is list map mod nil'
+ ' not of or patch record remove set skip then to True type'
+ ' var while with',
literal: 'true false unit int string Some None bool nat list'
},
lexemes: '[a-zA-Z][a-zA-Z0-9_]*',
contains: [

4
gitlab-pages/website/versioned_docs/version-next/contributors/origin.md
View File

@ -4,8 +4,8 @@ title: Origin
original_id: origin
---
LIGO is a programming language that aims to provide developers with an uncomplicated and safer way to implement smart-contracts. LIGO is currently being implemented for the Tezos blockchain and as a result, it compiles down to Michelson - the native smart-contract language of Tezos.
LIGO is a programming language that aims to provide developers with an uncomplicated and safe way to implement smart-contracts. Since it is being implemented for the Tezos blockchain LIGO compiles to Michelson—the native smart-contract language of Tezos.
> Smart-contracts are programs that run within a blockchain network.
LIGO was initially meant to be a language for developing Marigold, on top of a hacky framework called Meta-Michelson. However, due to the attention received by the Tezos community, a decision has been put into action to develop LIGO as a standalone language that will support Tezos directly as well.
LIGO was meant to be a language for developing Marigold on top of a hacky framework called Meta-Michelson. However, due to the attention received by the Tezos community, LIGO is now a standalone language being developed to support Tezos directly.

11
gitlab-pages/website/versioned_docs/version-next/contributors/philosophy.md
View File

@ -4,23 +4,22 @@ title: Philosophy
original_id: philosophy
---
To understand LIGO’s design choices, it’s important to get its philosophy. There are two main concerns that we have in mind when building LIGO.
To understand LIGO’s design choices it’s important to understand its philosophy. We have two main concerns in mind while building LIGO.
## Safety
Once a smart-contract is deployed, it will likely be impossible to change it. You must get it right on the first try, and LIGO should help as much as possible. There are multiple ways to make LIGO a safer language for smart-contracts.
### Automated Testing
Automated Testing is the process through which a program will run some other program, and check that this other program behaves correctly.
Automated Testing is the process through which a program runs another program, and checks that this other program behaves correctly.
There already is a testing library for LIGO programs written in OCaml that is used to test LIGO itself. Making it accessible to users will greatly improve safety. A way to do so would be to make it accessible from within LIGO.
### Static Analysis
Static analysis is the process of having a program analyze another one.
For instance, type systems are a kind of static analysis through which it is possible to find lots of bugs. There is already a fairly simple type system in LIGO, and we plan to make it much stronger.
For instance, type systems are a kind of static analysis through which it is possible to find lots of bugs. LIGO already has a simple type system, and we plan to make it much stronger.
### Conciseness
Writing less code gives you less room to introduce errors and that's why LIGO encourages writing lean rather than chunky smart-contracts.
Writing less code gives you less room to introduce errors. That's why LIGO encourages writing lean rather than chunky smart-contracts.
---

22
gitlab-pages/website/versioned_sidebars/version-next-sidebars.json
View File

@ -6,15 +6,27 @@
"version-next-intro/editor-support"
],
"Language Basics": [
"version-next-language-basics/cheat-sheet",
"version-next-language-basics/types",
"version-next-language-basics/variables",
"version-next-language-basics/constants-and-variables",
"version-next-language-basics/math-numbers-tez",
"version-next-language-basics/strings",
"version-next-language-basics/functions",
"version-next-language-basics/entrypoints",
"version-next-language-basics/operators"
"version-next-language-basics/boolean-if-else",
"version-next-language-basics/loops",
"version-next-language-basics/unit-option-pattern-matching",
"version-next-language-basics/maps-records",
"version-next-language-basics/sets-lists-tuples",
"version-next-language-basics/tezos-specific"
],
"Advanced": [
"version-next-advanced/timestamps-addresses",
"version-next-advanced/entrypoints-contracts",
"version-next-advanced/include",
"version-next-advanced/first-contract"
],
"API": [
"version-next-api-cli-commands"
"version-next-api/cli-commands",
"version-next-api/cheat-sheet"
]
},
"version-next-contributors-docs": {

1
src/passes/operators/operators.ml
View File

@ -185,6 +185,7 @@ module Simplify = struct
| "Set.literal" -> ok C_SET_LITERAL
| "Set.add" -> ok C_SET_ADD
| "Set.remove" -> ok C_SET_REMOVE
| "Set.iter" -> ok C_SET_ITER
| "Set.fold" -> ok C_SET_FOLD
| "Set.size" -> ok C_SIZE