Basics

Globals

This is a global object that gives access to all global variables of the current GAP session via getproperty and setproperty!.

Examples

julia> GAP.Globals.Size    # a global GAP function
GAP: <Attribute "Size">

julia> GAP.Globals.size    # there is no GAP variable with this name
ERROR: GAP variable size not bound
[...]

julia> hasproperty( GAP.Globals, :size )
false

julia> GAP.Globals.size = 17;

julia> hasproperty( GAP.Globals, :size )
true

julia> GAP.Globals.size
17

julia> GAP.Globals.UnbindGlobal(g"size")

julia> GAP.Globals.Julia   # Julia objects can be values of GAP variables
Main

evalstr(cmd::String)

Let GAP execute the command(s) given by cmd; if an error occurs then report this error, otherwise if the last command has a result then return it, otherwise return nothing.

Examples

julia> GAP.evalstr( "1+2" )
3

julia> GAP.evalstr( "x:= []" )
GAP: [  ]

julia> GAP.evalstr( "y:= 2; Add( x, y )" )

julia> GAP.evalstr( "x" )
GAP: [ 2 ]

julia> GAP.evalstr( "Print( x )" )

Note that screen outputs caused by evaluating cmd are not shown by evalstr; use evalstr_ex for accessing both the outputs and the return values of the command(s).

In general we recommend to avoid using evalstr, but it sometimes can be a useful escape hatch to access GAP functionality that is otherwise impossible to difficult to reach. But in most typical scenarios it should not be necessary to use it at all.

Instead, use GAP.GapObj or GAP.Obj for constructing GAP objects that correspond to given Julia objects, and call GAP functions directly in the Julia session. For example, executing GAP.evalstr( "x:= []; Add( x, 2 )" ) can be replaced by the Julia code x = GAP.GapObj([]); GAP.Globals.Add(x, 2). Note that the variable x in the former example lives in the GAP session, i.e., it can be accessed as GAP.Globals.x after the call of GAP.evalstr, whereas x in the latter example lives in the Julia session.

evalstr_ex(cmd::String)

Assume that cmd consists of $n$ GAP statements, each terminated by ; or ;;. Let GAP execute these statements and return a GAP list of length $n$ that describes their results. Each entry of the return value is a GAP list of length 5, with the following meaning.

• The first entry is true if the statement was executed successfully, and false otherwise.
• If the first entry is true, then the second entry is bound to the result of the statement if there was one, and unbound otherwise.
• The third entry is unbound if an error occured, true if the statement ends in a double semicolon, and false otherwise.
• The fourth entry currently is always unbound.
• The fifth entry contains the captured output of the statement as a string. If there was no double semicolon then also the output of GAP.Globals.ViewObj applied to the result value in the second entry, if any, is part of that string.

Examples

julia> GAP.evalstr_ex( "1+2" )        # error due to missing semicolon
GAP: [ [ false,,,, "" ] ]

julia> GAP.evalstr_ex( "1+2;" )       # one statement with return value
GAP: [ [ true, 3, false,, "3" ] ]

julia> GAP.evalstr_ex( "1+2;;" )      # the same with suppressed output
GAP: [ [ true, 3, true,, "" ] ]

julia> GAP.evalstr_ex( "x:= []; Add(x, 1);" )  # two valid commands
GAP: [ [ true, [ 1 ], false,, "[  ]" ], [ true,, false,, "" ] ]

julia> GAP.evalstr_ex( "1/0; 1+1;" )  # one error, one valid command
GAP: [ [ false,,,, "" ], [ true, 2, false,, "2" ] ]

julia> GAP.evalstr_ex( "Print(1);" )  # no return value but output
GAP: [ [ true,, false,, "1" ] ]

julia> GAP.evalstr_ex( "" )           # empty input
GAP: [  ]

prompt()

Start a GAP prompt where you can enter GAP commands as in a regular GAP session. This prompt can be left as any GAP prompt by either entering quit; or pressing ctrl-D, which returns to the Julia prompt.

This GAP prompt allows to quickly switch between writing Julia and GAP code in a session where all data is shared.

create_gap_sh(dstdir::String)

Given a directory path, create three files in that directory:

• a shell script named gap.sh which acts like the gap.sh shipped with a regular GAP installation, but which behind the scenes launches GAP via Julia.
• two TOML files, Manifest.toml and Project.toml, which are required by gap.sh to function (they record the precise versions of GAP.jl and other Julia packages involved)

FFE

Wrap a pointer to a GAP FFE ("finite field element") immediate object. This type is defined in the JuliaInterface C code.

Examples

julia> x = GAP.Globals.Z(3)
GAP: Z(3)

julia> typeof(x)
FFE

GapObj

This is the Julia type of all those GAP objects that are not "immediate" (booleans, small integers, FFEs).

Examples

julia> typeof(GapObj([1, 2]))          # a GAP list
GapObj

julia> typeof(GapObj(Dict(:a => 1)))   # a GAP record
GapObj

julia> typeof( GAP.evalstr( "(1,2,3)" ) )  # a GAP permutation
GapObj

julia> typeof( GAP.evalstr( "2^64" ) )     # a large GAP integer
GapObj

julia> typeof( GAP.evalstr( "2^59" ) )     # a small GAP integer
Int64

julia> typeof( GAP.evalstr( "Z(2)" ) )     # a GAP FFE
FFE

julia> typeof( GAP.evalstr( "true" ) )     # a boolean
Bool

Note that this is Julia's viewpoint on GAP objects. From the viewpoint of GAP, also the pointers to Julia objects are implemented as "non-immediate GAP objects", but they appear as Julia objects to Julia, not "doubly wrapped".

Examples

julia> GAP.evalstr( "Julia.Base" )
Base

julia> typeof( GAP.evalstr( "Julia.Base" ) )        # native Julia object
Module

One can use GapObj as a constructor, in order to convert Julia objects to GAP objects. Such calls are delegated to julia_to_gap.

However, this is restricted to outputs that actually are of type GapObj. To also deal with GAP integers, finite field elements and booleans, use GAP.Obj instead.

Recursive conversion of nested Julia objects (arrays, tuples, dictionaries) can be forced either by a second agument true or by the keyword argument recursive with value true.

Examples

julia> GapObj(1//3)
GAP: 1/3

julia> GapObj([1 2; 3 4])
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GapObj([[1, 2], [3, 4]])
GAP: [ <Julia: [1, 2]>, <Julia: [3, 4]> ]

julia> GapObj([[1, 2], [3, 4]], true)
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GapObj([[1, 2], [3, 4]], recursive=true)
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GapObj(42)
ERROR: TypeError: in typeassert, expected GapObj, got a value of type Int64

GAP.Obj

This is an alias for Union{GapObj,FFE,Int64,Bool}. This type union covers all types a "native" GAP object may have from Julia's viewpoint.

Moreover, it can be used as a constructor, in order to convert Julia objects to GAP objects, whenever a suitable conversion has been defined.

Recursive conversion of nested Julia objects (arrays, tuples, dictionaries) can be forced either by a second agument true or by the keyword argument recursive with value true.

Examples

julia> GAP.Obj(1//3)
GAP: 1/3

julia> GAP.Obj([1 2; 3 4])
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GAP.Obj([[1, 2], [3, 4]])
GAP: [ <Julia: [1, 2]>, <Julia: [3, 4]> ]

julia> GAP.Obj([[1, 2], [3, 4]], true)
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GAP.Obj([[1, 2], [3, 4]], recursive=true)
GAP: [ [ 1, 2 ], [ 3, 4 ] ]

julia> GAP.Obj(42)
42

GapInt

Any GAP integer object is represented in Julia as either a GapObj (if it is a "large" integer) or as an Int (if it is a "small" integer). This type union can be used to express this conveniently, e.g. when one wants to help type stability.

Note that also GAP's infinity and -infinity fit under this type (as do many other objects which are not numbers).