# Interacting With Julia

Julia comes with a full-featured interactive command-line REPL (read-eval-print loop) built into the `julia` executable. In addition to allowing quick and easy evaluation of Julia statements, it has a searchable history, tab-completion, many helpful keybindings, and dedicated help and shell modes. The REPL can be started by simply calling `julia` with no arguments or double-clicking on the executable:

    $ julia
                   _
       _       _ _(_)_     |  A fresh approach to technical computing
      (_)     | (_) (_)    |  Documentation: http://docs.julialang.org
       _ _   _| |_  __ _   |  Type "help()" to list help topics
      | | | | | | |/ _` |  |
      | | |_| | | | (_| |  |  Version 0.3.0-prerelease+2834 (2014-04-30 03:13 UTC)
     _/ |\__'_|_|_|\__'_|  |  Commit 64f437b (0 days old master)
    |__/                   |  x86_64-apple-darwin13.1.0

    julia>

To exit the interactive session, type `^D` — the control key together with the `d` key on a blank line — or type `quit()` followed by the return or enter key. The REPL greets you with a banner and a `julia>` prompt.

## The different prompt modes

### The Julian mode

The REPL has four main modes of operation. The first and most common is the Julian prompt. It is the default mode of operation; each new line initially starts with `julia>`. It is here that you can enter Julia expressions. Hitting return or enter after a complete expression has been entered will evaluate the entry and show the result of the last expression.

    julia> string(1 + 2)
    "3"

There are a number useful features unique to interactive work. In addition to showing the result, the REPL also binds the result to the variable `ans`. A trailing semicolon on the line can be used as a flag to suppress showing the result.

    julia> string(3 * 4);

    julia> ans
    "12"

### Help mode

When the cursor is at the beginning of the line, the prompt can be changed to a help mode by typing `?`. Julia will attempt to print help or documentation for anything entered in help mode:

    julia> ? # upon typing ?, the prompt changes (in place) to: help>

    help> string
    Base.string(xs...)

       Create a string from any values using the "print" function.

In addition to function names, complete function calls may be entered to see which method is called for the given argument(s). Macros, types and variables can also be queried:

    help> string(1)
    string(x::Union{Int16,Int128,Int8,Int32,Int64}) at string.jl:1553

    help> @printf
    Base.@printf([io::IOStream], "%Fmt", args...)

       Print arg(s) using C "printf()" style format specification
       string. Optionally, an IOStream may be passed as the first argument
       to redirect output.

    help> AbstractString
    DataType   : AbstractString
      supertype: Any
      subtypes : Any[DirectIndexString,RepString,RevString{T<:AbstractString},SubString{T<:AbstractString},String]

Help mode can be exited by pressing backspace at the beginning of the line.

### Shell mode

Just as help mode is useful for quick access to documentation, another common task is to use the system shell to execute system commands. Just as `?` entered help mode when at the beginning of the line, a semicolon (`;`) will enter the shell mode. And it can be exited by pressing backspace at the beginning of the line.

    julia> ; # upon typing ;, the prompt changes (in place) to: shell>

    shell> echo hello
    hello

### Search modes

In all of the above modes, the executed lines get saved to a history file, which can be searched. To initiate an incremental search through the previous history, type `^R` — the control key together with the `r` key. The prompt will change to `(reverse-i-search)`':`, and as you type the search query will appear in the quotes. The most recent result that matches the query will dynamically update to the right of the colon as more is typed. To find an older result using the same query, simply type `^R` again.

Just as `^R` is a reverse search, `^S` is a forward search, with the prompt `(i-search)`':`. The two may be used in conjunction with each other to move through the previous or next matching results, respectively.

## Key bindings

The Julia REPL makes great use of key bindings. Several control-key bindings were already introduced above (`^D` to exit, `^R` and `^S` for searching), but there are many more. In addition to the control-key, there are also meta-key bindings. These vary more by platform, but most terminals default to using alt- or option- held down with a key to send the meta-key (or can be configured to do so).

Program control
`^D` | Exit (when buffer is empty)
`^C` | Interrupt or cancel
`^L` | Clear console screen
Return/Enter, `^J` | New line, executing if it is complete
meta-Return/Enter | Insert new line without executing it
`?` or `;` | Enter help or shell mode (when at start of a line)
`^R`, `^S` | Incremental history search, described above
Cursor movement
Right arrow, `^F` | Move right one character
Left arrow, `^B` | Move left one character
Home, `^A` | Move to beginning of line
End, `^E` | Move to end of line
`^P` | Change to the previous or next history entry
`^N` | Change to the next history entry
Up arrow | Move up one line (or to the previous history entry)
Down arrow | Move down one line (or to the next history entry)
Page-up | Change to the previous history entry that matches the text before the cursor
Page-down | Change to the next history entry that matches the text before the cursor
`meta-F` | Move right one word
`meta-B` | Move left one word
Editing
Backspace, `^H` | Delete the previous character
Delete, `^D` | Forward delete one character (when buffer has text)
meta-Backspace | Delete the previous word
`meta-D` | Forward delete the next word
`^W` | Delete previous text up to the nearest whitespace
`^K` | “Kill” to end of line, placing the text in a buffer
`^Y` | “Yank” insert the text from the kill buffer
`^T` | Transpose the characters about the cursor

### Customizing keybindings

Julia’s REPL keybindings may be fully customized to a user’s preferences by passing a dictionary to `REPL.setup_interface()`. The keys of this dictionary may be characters or strings. The key `'*'` refers to the default action. Control plus character `x` bindings are indicated with `"^x"`. Meta plus `x` can be written `"\\Mx"`. The values of the custom keymap must be `nothing` (indicating that the input should be ignored) or functions that accept the signature `(PromptState, AbstractREPL, Char)`. The `REPL.setup_interface()` function must be called before the REPL is initialized, by registering the operation with `atreplinit()`. For example, to bind the up and down arrow keys to move through history without prefix search, one could put the following code in `.juliarc.jl`:

    import Base: LineEdit, REPL

    const mykeys = Dict{Any,Any}(
      # Up Arrow
      "\e[A" => (s,o...)->(LineEdit.edit_move_up(s) || LineEdit.history_prev(s, LineEdit.mode(s).hist)),
      # Down Arrow
      "\e[B" => (s,o...)->(LineEdit.edit_move_up(s) || LineEdit.history_next(s, LineEdit.mode(s).hist))
    )

    function customize_keys(repl)
      repl.interface = REPL.setup_interface(repl; extra_repl_keymap = mykeys)
    end

    atreplinit(customize_keys)

Users should refer to `base/LineEdit.jl` to discover the available actions on key input.

## Tab completion

In both the Julian and help modes of the REPL, one can enter the first few characters of a function or type and then press the tab key to get a list all matches:

    julia> stri
    stride     strides     string      stringmime  strip

    julia> Stri
    StridedArray    StridedVecOrMat  AbstractString
    StridedMatrix   StridedVector

The tab key can also be used to substitute LaTeX math symbols with their Unicode equivalents, and get a list of LaTeX matches as well:

    julia> \pi[TAB]
    julia> π
    π = 3.1415926535897...

    julia> e\_1[TAB] = [1,0]
    julia> e₁ = [1,0]
    2-element Array{Int64,1}:
     1
     0

    julia> e\^1[TAB] = [1 0]
    julia> e¹ = [1 0]
    1×2 Array{Int64,2}:
     1  0

    julia> \sqrt[TAB]2     # √ is equivalent to the sqrt() function
    julia> √2
    1.4142135623730951

    julia> \hbar[TAB](h) = h / 2\pi[TAB]
    julia> ħ(h) = h / 2π
    ħ (generic function with 1 method)

    julia> \h[TAB]
    \hat              \heartsuit         \hksearow          \hookleftarrow     \hslash
    \hbar             \hermitconjmatrix  \hkswarow          \hookrightarrow    \hspace

    julia> α="\alpha[TAB]"   # LaTeX completion also works in strings
    julia> α="α"

A full list of tab-completions can be found in the Unicode Input section of the manual.

Completion of paths works for strings and julia’s shell mode:

    julia> path="/[TAB]"
    .dockerenv  .juliabox/   boot/        etc/         lib/         media/       opt/         root/        sbin/        sys/         usr/
    .dockerinit bin/         dev/         home/        lib64/       mnt/         proc/        run/         srv/         tmp/         var/
    shell> /[TAB]
    .dockerenv  .juliabox/   boot/        etc/         lib/         media/       opt/         root/        sbin/        sys/         usr/
    .dockerinit bin/         dev/         home/        lib64/       mnt/         proc/        run/         srv/         tmp/         var/

Tab completion can help with investigation of the available methods matching the input arguments:

    julia> max([TAB] # All methods are displayed, not shown here due to size of the list

    julia> max([1,2],[TAB] # All methods where `Vector{Int}` matches as first argument
    max{T1<:Real,T2<:Real}(x::AbstractArray{T1,N<:Any}, y::T2) at operators.jl:544
    max{Tx<:Real,Ty<:Real}(x::Union{Base.ReshapedArray{Tx,1,A<:DenseArray,MI<:Tuple{Vararg{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},N<:Any}}},DenseArray{Tx,1},SubArray{Tx,1,A<:Union{Base.ReshapedArray{T<:Any,N<:Any,A<:DenseArray,MI<:Tuple{Vararg{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},N<:Any}}},DenseArray},I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex,Colon,Int64,Range{Int64}},N<:Any}},L<:Any}}, y::AbstractSparseArray{Ty,Ti<:Any,1}) at sparse\sparsevector.jl:1127
    max{T1<:Real,T2<:Real}(x::AbstractArray{T1,N<:Any}, y::AbstractArray{T2,N<:Any}) at operators.jl:548
    max(x, y) at operators.jl:78
    max(a, b, c, xs...) at operators.jl:119

    julia> max([1,2], max(1,2),[TAB] # All methods matching the arguments.
    max{T1<:Real,T2<:Real}(x::AbstractArray{T1,N<:Any}, y::T2) at operators.jl:544
    max(x, y) at operators.jl:78
    max(a, b, c, xs...) at operators.jl:119

    julia> split("1 1 1", # Keywords are also displayed in the suggested methods, see second line after `;` where `limit` and `keep` are keyword arguments
    split(str::AbstractString) at strings/util.jl:151
    split{T<:AbstractString}(str::T, splitter; limit, keep) at strings/util.jl:127

The completion of the methods uses type inference and can therefore see if the arguments match even if the arguments are output from functions. The function needs to be type stable for the completion to be able to remove non-matching methods.

Tab completion can also help completing fields:

    julia> Pkg.a
    add       available

Fields for output from functions can also be completed:

    julia> split("","")[1].[TAB]
    endof  offset  string

The completion of fields for output from functions uses type inference, and it can only suggest fields if the function is type stable.

## Customizing Colors

The colors used by Julia and the REPL can be customized, as well. To change the color of the Julia prompt you can add something like the following to your `juliarc.jl` file:

    Base.active_repl.prompt_color = Base.text_colors[:cyan]

The available color keys in `Base.text_colors` are `:black`, `:red`, `:green`, `:yellow`, `:blue`, `:magenta`, `:cyan`, `:white`, `:normal`, and `:bold`. Similarly, you can change the colors for the help and shell prompts and input and answer text by setting the appropriate member of `Base.active_repl` (respectively, `help_color`, `shell_color`, `input_color`, and `answer_color`). For the latter two, be sure that the `envcolors` member is also set to false.

You can also customize the color used to render warning and informational messages by setting the appropriate environment variable. For instance, to render warning messages in yellow and informational messages in cyan you can add the following to your `juliarc.jl` file:

    ENV["JULIA_WARN_COLOR"] = :yellow
    ENV["JULIA_INFO_COLOR"] = :cyan