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Move doc to wiki.

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[![Build Status](https://travis-ci.org/bakpakin/dst.svg?branch=master)](https://travis-ci.org/bakpakin/dst)
[![Appveyor Status](https://ci.appveyor.com/api/projects/status/32r7s2skrgm9ubva?svg=true)](https://ci.appveyor.com/project/bakpakin/dst)
Dst is a functional and imperative programming language and bytecode interpreter. The syntax
resembles lisp (and the language does inherit a lot from lisp), but lists are replaced
Dst is a functional and imperative programming language and bytecode interpreter. It is a
modern lisp, but lists are replaced
by other data structures with better utility and performance (arrays, tables, structs, tuples).
The language can also easily bridge to native code, and supports abstract datatypes
for interfacing with C. Also support meta programming with macros.
The bytecode vm is a register based vm loosely inspired by the LuaJIT bytecode format.
The language can also easily bridge to native code written in C, and supports abstract datatypes
for interfacing with C. Also support meta programming with macros, and bytecode assembly for the
dst abstract machine. The bytecode vm is a register based vm loosely inspired by the LuaJIT
bytecode format, but simpler and safer (bytecode can be verified by the assembler).
There is a repl for trying out the language, as well as the ability
to run script files. This client program is separate from the core runtime, so
@ -22,6 +23,9 @@ There is not much in the way of documentation yet because it is still a "persona
I don't want to freeze features prematurely. You can look in the examples directory, the test directory,
or the file `src/compiler/boot.dst` to get a sense of what dst code looks like.
For syntax highlightinh, there is some preliminary vim syntax highlighting in [dst.vim](https://github.com/bakpakin/dst.vim).
Generic lisp synatx highlighting should provide good results, however.
## Features
* First class closures
@ -30,7 +34,7 @@ or the file `src/compiler/boot.dst` to get a sense of what dst code looks like.
* Mutable and immutable arrays (array/tuple)
* Mutable and immutable hashtables (table/struct)
* Mutable and immutable strings (buffer/string)
* Lisp Macros
* Lisp Macros (Code is Data, Data is Code)
* Byte code interpreter with an assembly interface, as well as bytecode verification
* Proper tail calls.
* Direct interop with C via abstract types and C functions
@ -38,11 +42,17 @@ or the file `src/compiler/boot.dst` to get a sense of what dst code looks like.
* Lexical scoping
* Imperative Programming as well as functional
* REPL
* Interactive Environment
## Docmentation
API documentation and design documents can be found in the
[wiki](https://github.com/bakpakin/dst/wiki).
## Usage
A repl is launched when the binary is invoked with no arguments. Pass the -h flag
to display the usage information.
to display the usage information. Individual scripts can be run with `./dst myscript.dst`
```
$ ./dst
@ -62,12 +72,6 @@ Options are:
$
```
## Docmentation
API documentation and design documents will be added to the `doc` folder as they are written.
As of March 2018, specifications are sparse because dst is evolving. Check the doc folder for
an introduction of Dst as well as an overview of the bytecode format.
## Compiling and Running
Dst can be built with Make or CMake.
@ -104,8 +108,3 @@ make run
## Examples
See the examples directory for some example dst code.
## Editor
There is some preliminary vim syntax highlighting in [dst.vim](https://github.com/bakpakin/dst.vim).
Generic lisp synatx highlighting should provide good results, however.

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# Dst Bytecode Reference
This document outlines the Dst bytecode format, and core ideas in the runtime
that are closely related to the bytecode. It should enable the reader
to write dst assembly code and hopefully understand the dst internals better.
It will also talk about the C abstractions used to implement some of these ideas.
Some experience with basic computer organization is helpful for understanding
the model of computation.
## The Stack = The Fiber
A Dst Fiber is the type used to represent multiple concurrent processes
in dst. It is basically a wrapper around the idea of a stack. The stack is
divided into a number of stack frames (`DstStackFrame *` in C), each of which
contains information such as the function that created the stack frame,
the program counter for the stack frame, a pointer to the previous frame,
and the size of the frame. Each stack frame also is paired with a number
registers.
```
X: Slot
X
X - Stack Top, for next function call.
-----
Frame next
-----
X
X
X
X
X
X
X - Stack 0
-----
Frame 0
-----
X
X
X - Stack -1
-----
Frame -1
-----
X
X
X
X
X - Stack -2
-----
Frame -2
-----
...
...
...
-----
Bottom of stack
```
Fibers also have an incomplete stack frame for the next function call on top
of their stacks. Making a function call involves pushing arguments to this
temporary stack, and then invoking either the CALL or TCALL instructions.
Arguments for the next function call are pushed via the PUSH, PUSH2, PUSH3, and
PUSHA instructions. The stack of a fiber will grow as large as needed, although by
default dst will limit the maximum size of a fiber's stack.
The maximum stack size can be modified on a per fiber basis.
The slots in the stack are exposed as virtual registers to instructions. They
can hold any Dst value.
## Closures
All functions in dst are closures; they combine some bytecode instructions
with 0 or more environments. In the C source, a closure (hereby the same as
a function) is represented by the type `DstFunction *`. The bytecode instruction
part of the function is represented by `DstFuncDef *`, and a function environment
is represented with `DstFuncEnv *`.
The function definition part of a function (the 'bytecode' part, `DstFuncDef *`),
we also store various metadata about the function which is useful for debugging,
as well as constants referenced by the function.
## C Functions
Dst uses C functions to bridge to native code. A C function
(`DstCFunction *` in C) is a C function pointer that can be called like
a normal dst closure. From the perspective of the bytecode instruction set, there is no difference
in invoking a C function and invoking a normal dst function.
## Bytecode Format
Dst bytecode presents an interface to a virtual machine with a large number
of identical registers that can hold any Dst value (`Dst *` in C). Most instructions
have a destination register, and 1 or 2 source register. Registers are simply
named with positive integers.
Each instruction is a 32 bit integer, meaning that the instruction set is a constant
width RISC instruction set like MIPS. The opcode of each instruction is the least significant
byte of the instruction. The highest bit of
this leading byte is reserved for debugging purpose, so there are 128 possible opcodes encodable
with this scheme. Not all of these possible opcode are defined, and will trap the interpreter
and emit a debug signal. Note that this mean an unknown opcode is still valid bytecode, it will
just put the interpreter into a debug state when executed.
```
X - Payload bits
O - Opcode bits
4 3 2 1
+----+----+----+----+
| XX | XX | XX | OO |
+----+----+----+----+
```
8 bits for the opcode leaves 24 bits for the payload, which may or may not be utilized.
There are a few instruction variants that divide these payload bits.
* 0 arg - Used for noops, returning nil, or other instructions that take no
arguments. The payload is essentially ignored.
* 1 arg - All payload bits correspond to a single value, usually a signed or unsigned integer.
Used for instructions of 1 argument, like returning a value, yielding a value to the parent fiber,
or doing a (relative) jump.
* 2 arg - Payload is split into byte 2 and bytes 3 and 4.
The first argument is the 8 bit value from byte 2, and the second argument is the 16 bit value
from bytes 3 and 4 (`instruction >> 16`). Used for instructions of two arguments, like move, normal
function calls, conditionals, etc.
* 3 arg - Bytes 2, 3, and 4 each correspond to an 8 bit argument.
Used for arithmetic operations, emitting a signal, etc.
These instruction variants can be further refined based on the semantics of the arguments.
Some instructions may treat an argument as a slot index, while other instructions
will treat the argument as a signed integer literal, and index for a constant, an index
for an environment, or an unsigned integer.
## Instruction Reference
A listing of all opcode values can be found in src/include/dst/dstopcodes.h. The dst assembly
short names can be found src/assembler/asm.c. In this document, we will refer to the instructions
by their short names as presented to the assembler rather than their numerical values.
Each instruction is also listed with a signature, which are the arguments the instruction
expects. There are a handful of instruction signatures, which combine the arity and type
of the instruction. The assembler does not
do any typechecking per closure, but does prevent jumping to invalid instructions and
failure to return or error.
### Notation
* The $ prefix indicates that a instruction parameter is acting as a virtual register (slot).
If a parameter does not have the $ suffix in the description, it is acting as some kind
of literal (usually an unsigned integer for indexes, and a signed integer for literal integers).
* Some operators in the description have the suffix 'i' or 'r'. These indicate
that these operators correspond to integers or real numbers only, respectively. All
bitwise operators and bit shifts only work with integers.
* The `>>>` indicates unsigned right shift, as in Java. Because all integers in dst are
signed, we differentiate the two kinds of right bit shift.
* The 'im' suffix in the instruction name is short for immediate. The 'i' suffix is short for integer,
and the 'r' suffix is short for real.
### Reference Table
| Instruction | Signature | Description |
| ----------- | --------------------------- | --------------------------------- |
| `add` | `(add dest lhs rhs)` | $dest = $lhs + $rhs |
| `addi` | `(addi dest lhs rhs)` | $dest = $lhs +i $rhs |
| `addim` | `(addim dest lhs im)` | $dest = $lhs +i im |
| `addr` | `(addr dest lhs rhs)` | $dest = $lhs +r $rhs |
| `band` | `(band dest lhs rhs)` | $dest = $lhs & $rhs |
| `bnot` | `(bnot dest operand)` | $dest = ~$operand |
| `bor` | `(bor dest lhs rhs)` | $dest = $lhs | $rhs |
| `bxor` | `(bxor dest lhs rhs)` | $dest = $lhs ^ $rhs |
| `call` | `(call dest callee)` | $dest = call($callee) |
| `clo` | `(clo dest index)` | $dest = closure(defs[$index]) |
| `cmp` | `(cmp dest lhs rhs)` | $dest = dst\_compare($lhs, $rhs) |
| `debug` | `(debug)` | Suspend current fiber |
| `div` | `(div dest lhs rhs)` | $dest = $lhs / $rhs |
| `divi` | `(divi dest lhs rhs)` | $dest = $lhs /i $rhs |
| `divim` | `(divim dest lhs im)` | $dest = $lhs /i im |
| `divr` | `(divr dest lhs rhs)` | $dest = $lhs /r $rhs |
| `eq` | `(eq dest lhs rhs)` | $dest = $lhs == $rhs |
| `eqi` | `(eqi dest lhs rhs)` | $dest = $lhs ==i $rhs |
| `eqim` | `(eqim dest lhs im)` | $dest = $lhs ==i im |
| `eqr` | `(eqr dest lhs rhs)` | $dest = $lhs ==r $rhs |
| `err` | `(err message)` | Throw error $message. |
| `get` | `(get dest ds key)` | $dest = $ds[$key] |
| `geti` | `(geti dest ds index)` | $dest = $ds[index] |
| `gt` | `(gt dest lhs rhs)` | $dest = $lhs > $rhs |
| `gti` | `(gti dest lhs rhs)` | $dest = $lhs \>i $rhs |
| `gtim` | `(gtim dest lhs im)` | $dest = $lhs \>i im |
| `gtr` | `(gtr dest lhs rhs)` | $dest = $lhs \>r $rhs |
| `gter` | `(gter dest lhs rhs)` | $dest = $lhs >=r $rhs |
| `jmp` | `(jmp label)` | pc = label, pc += offset |
| `jmpif` | `(jmpif cond label)` | if $cond pc = label else pc++ |
| `jmpno` | `(jmpno cond label)` | if $cond pc++ else pc = label |
| `ldc` | `(ldc dest index)` | $dest = constants[index] |
| `ldf` | `(ldf dest)` | $dest = false |
| `ldi` | `(ldi dest integer)` | $dest = integer |
| `ldn` | `(ldn dest)` | $dest = nil |
| `lds` | `(lds dest)` | $dest = current closure (self) |
| `ldt` | `(ldt dest)` | $dest = true |
| `ldu` | `(ldu dest env index)` | $dest = envs[env][index] |
| `lt` | `(lt dest lhs rhs)` | $dest = $lhs < $rhs |
| `lti` | `(lti dest lhs rhs)` | $dest = $lhs \<i $rhs |
| `ltim` | `(ltim dest lhs im)` | $dest = $lhs \<i im |
| `ltr` | `(ltr dest lhs rhs)` | $dest = $lhs \<r $rhs |
| `lter` | `(lter dest lhs rhs)` | $dest = $lhs <=r $rhs |
| `movf` | `(movf src dest)` | $dest = $src |
| `movn` | `(movn dest src)` | $dest = $src |
| `mul` | `(mul dest lhs rhs)` | $dest = $lhs * $rhs |
| `muli` | `(muli dest lhs rhs)` | $dest = $lhs \*i $rhs |
| `mulim` | `(mulim dest lhs im)` | $dest = $lhs \*i im |
| `mulr` | `(mulr dest lhs rhs)` | $dest = $lhs \*r $rhs |
| `noop` | `(noop)` | Does nothing. |
| `push` | `(push val)` | Push $val as arg |
| `push2` | `(push2 val1 val3)` | Push $val1, $val2 as args |
| `push3` | `(push3 val1 val2 val3)` | Push $val1, $val2, $val3, as args |
| `pusha` | `(pusha array)` | Push values in $array as args |
| `put` | `(put ds key val)` | $ds[$key] = $val |
| `puti` | `(puti ds index val)` | $ds[index] = $val |
| `res` | `(res dest fiber val)` | $dest = resume $fiber with $val |
| `ret` | `(ret val)` | Return $val |
| `retn` | `(retn)` | Return nil |
| `setu` | `(setu env index val)` | envs[env][index] = $val |
| `sig` | `(sig dest value sigtype)` | $dest = emit $value as sigtype |
| `sl` | `(sl dest lhs rhs)` | $dest = $lhs << $rhs |
| `slim` | `(slim dest lhs shamt)` | $dest = $lhs << shamt |
| `sr` | `(sr dest lhs rhs)` | $dest = $lhs >> $rhs |
| `srim` | `(srim dest lhs shamt)` | $dest = $lhs >> shamt |
| `sru` | `(sru dest lhs rhs)` | $dest = $lhs >>> $rhs |
| `sruim` | `(sruim dest lhs shamt)` | $dest = $lhs >>> shamt |
| `sub` | `(sub dest lhs rhs)` | $dest = $lhs - $rhs |
| `tcall` | `(tcall callee)` | Return call($callee) |
| `tchck` | `(tcheck slot types)` | Assert $slot does matches types |

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# Dst Language Introduction
Dst is a dynamic, lightweight programming language with strong functional
capabilities as well as support for imperative programming. It to be used
for short lived scripts as well as for building real programs. It can also
be extended with native code (C modules) for better performance and interfacing with
existing software. Dst takes ideas from Lua, Scheme, Racket, Clojure, Smalltalk, Erlang, and
a whole bunch of other dynamic languages.
# Hello, world!
Following tradition, a simple Dst program will simply print "Hello, world!".
```
(print "Hello, world!")
```
Put the following code in a file call `hello.dst`, and run `./dst hello.dst`.
The words "Hello, world!" should be printed to the console, and then the program
should immediately exit. You now have a working dst program!
Alternatively, run the program `./dst` without any arguments to enter a REPL,
or read eval print loop. This is a mode where Dst functions like a calculator,
reading some input from stdin, evaluating it, and printing out the result, all
in an inifinte loop. This is a useful mode for exploring or prototyping in Dst.
This is about the simplest program one can write, and consists of precisely
three elements. This first element is the `print` symbol. This is a function
that simply prints its arguments to standard out. The second argument is the
string literal "Hello, world!", which is the one and only argument to the
print function. Lastly, the print symbol and the string literal are wrapped
in parentheses, forming a tuple. In Dst, parentheses and brackets are interchangeable,
brackets are used mostly when the resulting tuple is not a function call. The tuple
above indicates that the function `print` is to be called with one argument, `"Hello, world"`.
Like all lisps, all operations in Dst are in prefix notation; the name of the
operator is the first value in the tuple, and the arguments passed to it are
in the rest of the tuple.
# A bit more - Arithmetic
Any programming language will have some way to do arithmetic. Dst is no exception,
and supports the basic arithemtic operators
```
# Prints 13
# (1 + (2*2) + (10/5) + 3 + 4 + (5 - 6))
(print (+ 1 (* 2 2) (/ 10 5) 3 4 (- 5 6)))
```
Just like the print function, all arithmetic operators are entered in
prefix notation. Dst also supports the modulo operator, or `%`, which returns
the remainder of integer division. For example, `(% 10 3)` is 1, and `(% 10.5 3)` is
1.5. The lines that begin with `#` are comments.
Dst actually has two "flavors" of numbers; integers and real numbers. Integers are any
integer value between -2,147,483,648 and 2,147,483,647 (32 bit signed integer).
Reals are real numbers, and are represented by IEEE-754 double precision floating point
numbers. That means that they can represent any number an integer can represent, as well
fractions to very high precision.
Although real numbers can represent any value an integer can, try to distinguish between
real numbers and integers in your program. If you are using a number to index into a structure,
you probably want integers. Otherwise, you may want to use reals (this is only a rule of thumb).
Arithmetic operator will convert integers to real numbers if needed, but real numbers
will not be converted to integers, as not all real numbers can be safely convert to integers.
## Numeric literals
Numeric literals can be written in many ways. Numbers can be written in base 10, with
underscores used to separate digits into groups. A decimal point can be used for floating
point numbers. Numbers can also be written in other bases by prefixing the number with the desired
base and the character 'r'. For example, 16 can be written as `16`, `1_6`, `16r10`, `4r100`, or `0x10`. The
`0x` prefix can be used for hexadecimal as it is so common. The radix must be themselves written in base 10, and
can be any integer from 2 to 36. For any radix above 10, use the letters as digits (not case sensitive).
Numbers can also be in scientific notation such as `3e10`. A custom radix can be used as well
as for scientific notation numbers, (the exponent will share the radix). For numbers in scientific
notation with a radix besides 10, use the `&` symbol to indicate the exponent rather then `e`.
## Arithmetic Functions
Besides the 5 main arithmetic functions, dst also supports a number of math functions
taken from the C libary `<math.h>`, as well as bitwise operators that behave like they
do in C or Java.
# Strings, Keywords and Symbols
Dst supports several varieties of types that can be used as labels for things in
your program. The most useful type for this purpose is the keyword type. A keyword
begins with a semicolon, and then contains 0 or more alphanumeric or a few other common
characters. For example, `:hello`, `:my-name`, `:=`, and `:ABC123_-*&^%$` are all keywords.
Keywords are actually just special cases of symbols, which are similar but don't start with
a semicolon. The difference between symbols and keywords is that keywords evaluate to themselves, while
symbols evaluate to whatever they are bound to. To have a symbol evaluate to itself, it must be
quoted.
```lisp
# Evaluates to :monday
:monday
# Will throw a compile error as monday is not defined
monday
# Quote it - evaluates to the symbol monday
'monday
# Or first define monday
(def monday "It is monday")
# Now the evaluation should work - monday evaluates to "It is monday"
monday
```
The most common thing to do with a keyword is to check it for equality or use it as a key into
a table or struct. Note that symbols, keywords and strings are all immutable. Besides making your
code easier to reason about, it allows for many optimizations involving these types.
```lisp
# Prints true
(= :hello :hello)
# Prints false, everything in dst is case sensitive
(= :hello :HeLlO)
# Look up into a table - evaluates to 25
(get {
:name "John"
:age 25
:occupation "plumber"
} :age)
```
Strings can be used similarly to keywords, but there primary usage is for defining either text
or arbitrary sequences of bytes. Strings (and symbols) in dst are what is sometimes known as
"8-bit clean"; they can hold any number of bytes, and are completely unaware of things like character
encodings. This is completely compatible with ASCII and UTF-8, two of the most common character
encodings. By being encoding agnostic, dst strings can be very simple, fast, and useful for
for other uses besides holding text.
Literal text can be entered inside quotes, as we have seen above.
```
"Hello, this is a string."
# We can also add escape characters for newlines, double quotes, backslash, tabs, etc.
"Hello\nThis is on line two\n\tThis is indented\n"
# For long strings where you don't want to type a lot of escape characters,
# you can use 1 or more backticks (`\``) to delimit a string.
# To close this string, simply repeat the opening sequence of backticks
``
This is a string.
Line 2
Indented
"We can just type quotes here", and backslashes \ no problem.
``
```
# Functions
Dst is a functional language - that means that one of the basic building blocks of your
program will be defining functions (the other is using data structures). Because dst
is a Lisp, functions are values just like numbers or strings - they can be passed around and
created as needed.
Functions can be defined with the `defn` macro, like so:
```lisp
(defn triangle-area [base height]
(print "calculating area of a triangle...")
(* base height 0.5))
```
A function defined with `defn` has a number of parts. First, it has it's name, triangle-area. This
is just a symbol used to access the function later. Next is the list of parameters this function takes,
in this case two parameters named base and height. Lastly, a function made with defn has
a number of body statements, which get executed each time the function is called. The last
form in the body is what the function evaluates to, or returns.
Once a function like the above one is defined, the programmer can use the `triangle-area`
function just like any other, say `print` or `+`.
```lisp
# Prints "calculating area of a triangle..." and then "25"
(print (triangle-area 5 10))
```
Note that when nesting function calls in other function calls like above (a call to triangle-area is
nested inside a call to print), the inner function calls are evaluated first. Also, arguments to
a function call are evaluated in order, from first argument to last argument).
Because functions are first-class values like numbers or strings, they can be passed
as arguments to other functions as well
```
(print triangle-area)
```
This prints the location in memory of the function triangle area. This idea can be used
to build some powerful constructs purely out of functions, or closures as they are known
in many contexts.
Functions don't need to have names. The `fn` keyword can be used to introduce function
literals without binding them to a symbol.
```
# Evaluates to 40
((fn [x y] (+ x x y)) 10 20)
```
The above expression first creates an anonymous function that adds twice
the first argument to the second, and then calls that function with arguments 10 and 20.
This will return (10 + 10 + 20) = 40.
There is a common macro `defn` that can be used for creating functions and immediately binding
them to a name. `defn` works as expected at both the top level and inside another form. There is also
the corresponding
```lisp
(defn myfun [x y]
(+ x x y))
# You can think of defn as a shorthand for def and fn together
(def myfun-same (fn [x y]
(+ x x Y)))
(myfun 3 4) # -> 10
```
Dst has many macros provided for you (and you can write your own).
Macros are just functions that take your source code
and transform it into some other source code, usually automating some repetitive pattern for you.
# Defs and Vars
Values can be bound to symbols for later use using the keyword `def`. Using undefined
symbols will raise an error.
```
(def a 100)
(def b (+ 1 a))
(def c (+ b b))
(def d (- c 100))
```
Bindings created with def have lexical scoping. Also, bindings created with def are immutable; they
cannot be changed after definition. For mutable bindings, like variables in other programming
languages, use the `var` keyword. The assignment special form `:=` can then be used to update
a var.
```
(var myvar 1)
(print myvar)
(:= myvar 10)
(print myvar)
```
In the global scope, you can use the `:private` option on a def or var to prevent it from
being exported to code that imports your current module. You can also add documentation to
a function by passing a string the def or var command.
```lisp
(def mydef :private "This will have priavte scope. My doc here." 123)
(var myvar "docstring here" 321)
```
## Scopes
Defs and vars (collectively known as bindings) live inside what is called a scope. A scope is
simply where the bindings are valid. If a binding is referenced outside of its scope, the compiler
will throw an error. Scopes are useful for organizing your bindings and my extension your programs.
There are two main ways to create a scope in Dst.
The first is to use the `do` special form. `do` executes a series of statements in a scope
and evaluates to the last statement. Bindings create inside the form do not escape outside
of its scope.
```lisp
(def a :outera)
(do
(def a 1)
(def b 2)
(def c 3)
(+ a b c)) # -> 6
a # -> :outera
b # -> compile error: "unknown symbol \"b\""
c # -> compile error: "unknown symbol \"c\""
```
Any attempt to reference the bindings from the do form after it has finished
executing will fail. Also notice who defining `a` inside the do form did not
overwrite the original definition of `a` for the global scope.
The second way to create a scope is to create a closure.
The `fn` special form also introduces a scope just like
the `do` special form.
There is another built in macro, `let`, that does multiple defs at once, and then introduces a scope.
`let` is a wrapper around a combination of defs and dos, and is the most "functional" way of
creating bindings.
```lisp
(let [a 1
b 2
c 3]
(+ a b c)) # -> 6
```
The above is equivalent to the example using `do` and `def`.
This is the preferable form in most cases,
but using do with multiple defs is fine as well.
# Data Structures
Once you have a handle on functions and the primitive value types, you may be wondering how
to work with collections of things. Dst has a small number of core data structure types
that are very versatile. Tables, Structs, Arrays, Tuples, Strings, and Buffers, are the 6 main
built in data structure types. These data structures can be arranged in a useful table describing
there relationship to each other.
| | Mutable | Immutable |
| ---------- | ------- | --------------- |
| Indexed | Array | Tuple |
| Dictionary | Table | Struct |
| Byteseq | Buffer | String (Symbol) |
Indexed types are linear lists of elements than can be accessed in constant time with an integer index.
Indexed types are backed by a single chunk of memory for fast access, and are indexed from 0 as in C.
Dictionary types associate keys with values. The difference between dictionaries and indexed types
is that dictionaries are not limited to integer keys. They are backed by a hashtable and also offer
constant time lookup (and insertion for the mutable case).
Finally, the 'byteseq' abstraction is any type that contains a sequence of bytes. A byteseq associates
integer keys (the indices) with integer values between 0 and 255 (the byte values). In this way,
they behave much like Arrays and Tuples. However, one cannot put non integer values into a byteseq.
```lisp
(def mytuple (tuple 1 2 3))
(def myarray @(1 2 3))
(def myarray (array 1 2 3))
(def mystruct {
:key "value"
:key2 "another"
1 2
4 3})
(def another-struct
(struct :a 1 :b 2))
(def my-table @{
:a :b
:c :d
:A :qwerty})
(def another-table
(table 1 2 3 4))
(def my-buffer @"thisismutable")
(def my-buffer2 @\====\
This is also mutable ":)"
\====\)
```
To read the values in a data structure, use the get function. The first parameter is the data structure
itself, and the second parameter is the key.
```lisp
(get @{:a 1} :a) # -> 1
(get {:a 1} :a) # -> 1
(get @[:a :b :c] 2) # -> :c
(get (tuple "a" "b" "c") 1) # -> "a"
(get @"hello, world" 1) # -> 101
(get "hello, world" 0) # -> 104
```
To update a mutable data structure, use the `put` function. It takes 3 arguments, the data structure,
the key, and the value, and returns the data structure. The allowed types keys and values
depend on what data structure is passed in.
```lisp
(put @[] 100 :a)
(put @{} :key "value")
(put @"" 100 92)
```
Note that for Arrays and Buffers, putting an index that is outside the length of the data structure
will extend the data structure and fill it with nils in the case of the Array,
or 0s in the case of the Buffer.
The last generic function for all data structures is the `length` function. This returns the number of
values in a data structure (the number of keys in a dictionary type).
# Flow Control
:)
# Combinators
:)
# Modules
:)
# The Core Library
Dst has a built in core library of over 200 functions and macros at the time of writing.
While some of these functions may be refactored into separate modules, it is useful to get to know
the core to avoid rewriting provided functions.
For any given function, use the `doc` macro to view the documentation for it in the repl.
```lisp
(doc defn) -> Prints the documentation for "defn"
```
To see a list of all global functions in the repl, type the command
```lisp
(getproto *env*)
```
Which will print out every built-in global binding
(it will not show your global bindings). To print all
of your global bindings, just use *env*, which is a var
that is bound to the current environment.
# Prototypes
:)
# Fibers
:)
# Macros
:)
# IO
:)
# The Parser Library
:)
# The Assembler
:)
# Interfacing with C
:)