  
  [1X80 [33X[0;0YExamples of Extending the System[133X[101X
  
  [33X[0;0YThis chapter gives a few examples of how one can extend the functionality of
  [5XGAP[105X.[133X
  
  [33X[0;0YThey  are  arranged  in  ascending  difficulty.  We  show how to install new
  methods, add new operations and attributes and how to implement new features
  using categories and representations. (As we do not introduce completely new
  kinds  of  objects  in these example it will not be necessary to declare any
  families.)  Finally  we  show a simple way how to create new objects with an
  own arithmetic.[133X
  
  [33X[0;0YThe examples given are all very rudimentary – no particular error checks are
  performed  and  the user interface sometimes is quite clumsy. These examples
  may   be  constructed  for  presentation  purposes  only  and  they  do  not
  necessarily constitute parts of the [5XGAP[105X library.[133X
  
  [33X[0;0YEven more complex examples that create whole classes of objects anew will be
  given in the following two chapters [14X81[114X and [14X82[114X.[133X
  
  
  [1X80.1 [33X[0;0YAddition of a Method[133X[101X
  
  [33X[0;0YThe  easiest  case  is  the  addition  of a new algorithm as a method for an
  existing operation for the existing structures.[133X
  
  [33X[0;0YFor example, assume we wanted to implement a better method for computing the
  exponent  of  a  nilpotent  group (it is the product of the exponents of the
  Sylow subgroups).[133X
  
  [33X[0;0YThe  first  task  is  to find which operation is used by [5XGAP[105X (it is [2XExponent[102X
  ([14X39.16-2[114X))  and how it is declared. We can find this in the Reference Manual
  (in our particular case in section [14X39.16[114X) and the declaration in the library
  file  [11Xlib/grp.gd[111X.  The  easiest  way to find the place of the declaration is
  usually to [10Xgrep[110X over all [10X.gd[110X and [10X.g[110X files, see section [14X83[114X.[133X
  
  [33X[0;0YIn our example the declaration in the library is:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareAttribute("Exponent",IsGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YSimilarly  we find that the filter [2XIsNilpotentGroup[102X ([14X39.15-3[114X) represents the
  concept of being nilpotent.[133X
  
  [33X[0;0YWe  then  write a function that implements the new algorithm which takes the
  right  set  of  arguments  and  install  it as a method. In our example this
  installation would be:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(Exponent,"for nilpotent groups",[128X[104X
    [4X[28X  [IsGroup and IsNilpotent],[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28X  [function body omitted][128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YWe have left out the optional rank argument of [2XInstallMethod[102X ([14X78.3-1[114X), which
  normally  is a wise choice –[5XGAP[105X automatically uses an internal ranking based
  on  the  filters  that  is only offset by the given rank. So our method will
  certainly  be  regarded  as [21Xbetter[121X than a method that has been installed for
  mere groups or for solvable groups but will be ranked lower than the library
  method for abelian groups.[133X
  
  [33X[0;0YThat's  all.  Using [14X7.2-1[114X we can check for a nilpotent group that indeed our
  new method will be used.[133X
  
  [33X[0;0YWhen  testing,  remember  that  the  method  selection  will  not  check for
  properties  that  are  not  known.  (This is done internally by checking the
  property tester first.) Therefore the method would not be applicable for the
  group  [10Xg[110X  in  the  following  definition  but  only  for the –mathematically
  identical  but  endowed  with  more knowledge by [5XGAP[105X– group [10Xh[110X. (Section [14X80.3[114X
  shows a way around this.)[133X
  
  [4X[32X  Example  [32X[104X
    [4X[25Xgap>[125X [27Xg:=Group((1,2),(1,3)(2,4));;[127X[104X
    [4X[25Xgap>[125X [27Xh:=Group((1,2),(1,3)(2,4));;[127X[104X
    [4X[25Xgap>[125X [27XIsNilpotentGroup(h); # enforce test[127X[104X
    [4X[28Xtrue[128X[104X
    [4X[25Xgap>[125X [27XHasIsNilpotentGroup(g);[127X[104X
    [4X[28Xfalse[128X[104X
    [4X[25Xgap>[125X [27XHasIsNilpotentGroup(h);[127X[104X
    [4X[28Xtrue[128X[104X
  [4X[32X[104X
  
  [33X[0;0YLet's  now look at a slightly more complicated example: We want to implement
  a  better method for computing normalizers in a nilpotent permutation group.
  (Such an algorithm can be found for example in [LRW97].)[133X
  
  [33X[0;0YWe  already know [2XIsNilpotentGroup[102X ([14X39.15-3[114X), the filter [2XIsPermGroup[102X ([14X43.1-1[114X)
  represents the concept of being a group of permutations.[133X
  
  [33X[0;0Y[5XGAP[105X   uses   [2XNormalizer[102X   ([14X39.11-1[114X)  to  compute  normalizers,  however  the
  declaration is a bit more complicated. In the library we find[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInParentFOA( "Normalizer", IsGroup, IsObject, NewAttribute );[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThe  full  mechanism  of  [2XInParentFOA[102X  ([14X85.2-1[114X)  is described in chapter [14X85[114X,
  however  for  our purposes it is sufficient to know that for such a function
  the  actual  work  is  done  by  an  operation  [10XNormalizerOp[110X,  an underlying
  operation for [2XNormalizer[102X ([14X39.11-1[114X) (and all the complications are just there
  to  be  able  to  remember certain results) and that the declaration of this
  operation is given by the first arguments, it would be:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareOperation( "NormalizerOp", [IsGroup, IsObject] );[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThis  time  we decide to enter a non-default family predicate in the call to
  [2XInstallMethod[102X  ([14X78.3-1[114X). We could just leave it out as in the previous call;
  this  would  yield  the  default  value,  the function [2XReturnTrue[102X ([14X5.4-1[114X) of
  arbitrary many arguments which always returns [9Xtrue[109X. However, then the method
  might  be  called  in  some  cases of inconsistent input (for example matrix
  groups  in  different characteristics) that ought to fall through the method
  selection to raise an error.[133X
  
  [33X[0;0YIn our situation, we want the second group to be a subgroup of the first, so
  necessarily  both  must  have  the same family and we can use [2XIsIdenticalObj[102X
  ([14X12.5-1[114X) as family predicate.[133X
  
  [33X[0;0YNow  we  can install the method. Again this manual is lazy and does not show
  you the actual code:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(NormalizerOp,"for nilpotent permutation groups",IsIdenticalObj,[128X[104X
    [4X[28X  [IsPermGroup and IsNilpotentGroup,[128X[104X
    [4X[28X   IsPermGroup and IsNilpotentGroup],[128X[104X
    [4X[28Xfunction(G,U)[128X[104X
    [4X[28X  [ function body omitted ][128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  
  [1X80.2 [33X[0;0YExtending the Range of Definition of an Existing Operation[133X[101X
  
  [33X[0;0YIt  might  be  that  the operation has been defined so far only for a set of
  objects  that  is  too restrictive for our purposes (or we want to install a
  method  that  takes  another  number of arguments). If this is the case, the
  call to [2XInstallMethod[102X ([14X78.3-1[114X) causes an error message. We can avoid this by
  using [2XInstallOtherMethod[102X ([14X78.3-2[114X) instead. It is also possible to re-declare
  an  operation  with another number of arguments and/or different filters for
  its arguments.[133X
  
  
  [1X80.3 [33X[0;0YEnforcing Property Tests[133X[101X
  
  [33X[0;0YAs  mentioned in Section [14X78.4[114X, [5XGAP[105X does not check unknown properties to test
  whether  a  method  might  be applicable. In some cases one wants to enforce
  this, however, because the gain from knowing the property outweighs the cost
  of its determination.[133X
  
  [33X[0;0YIn  this  situation  one  has  to  install  a  method [13Xwithout[113X the additional
  property  (so  it can be tried even if the property is not yet known) and at
  high  rank  (so it will be used before other methods). The first thing to do
  in  the  actual  function  then is to test the property and to bail out with
  [2XTryNextMethod[102X ([14X78.5-1[114X) if it turns out to be [9Xfalse[109X.[133X
  
  [33X[0;0YThe above [2XExponent[102X ([14X39.16-2[114X) example thus would become:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(Exponent,"test abelianity", [IsGroup],[128X[104X
    [4X[28X  50,# enforced high rank[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28X  if not IsAbelian(G) then[128X[104X
    [4X[28X    TryNextMethod();[128X[104X
    [4X[28X  fi;[128X[104X
    [4X[28X  [remaining function body omitted][128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThe value [21X50[121X used in this example is quite arbitrary. A better way is to use
  values that are given by the system inherently: We want this method still to
  be  ranked  as  high, [13Xas if it had[113X the [2XIsAbelian[102X ([14X35.4-9[114X) requirement. So we
  have [5XGAP[105X compute the extra rank of this:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(Exponent,"test abelianity", [IsGroup],[128X[104X
    [4X[28X  # enforced absolute rank of `IsGroup and IsAbelian' installation: Subtract[128X[104X
    [4X[28X  # the rank of `IsGroup' and add the rank of `IsGroup and IsAbelian':[128X[104X
    [4X[28X  RankFilter(IsGroup and IsAbelian)[128X[104X
    [4X[28X  -RankFilter(IsGroup),[128X[104X
    [4X[28Xfunction(G)[128X[104X
  [4X[32X[104X
  
  [33X[0;0Ythe  slightly  complicated  construction  of  addition  and  subtraction  is
  necessary  because  [2XIsGroup[102X  ([14X39.2-7[114X) and [2XIsAbelian[102X ([14X35.4-9[114X) might imply the
  [13Xsame[113X elementary filters which we otherwise would count twice.[133X
  
  [33X[0;0YA  somehow  similar  situation  occurs  with matrix groups. Most methods for
  matrix groups are only applicable if the group is known to be finite.[133X
  
  [33X[0;0YHowever  we  should  not enforce a finiteness test early (someone else later
  might  install  good  methods  for infinite groups while the finiteness test
  would  be  too  expensive)  but just before [5XGAP[105X would give a [21Xno method found[121X
  error.  This is done by redispatching, see [14X78.6[114X. For example to enforce such
  a final finiteness test for normalizer calculations could be done by:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XRedispatchOnCondition(NormalizerOp,IsIdenticalObj,[128X[104X
    [4X[28X  [IsMatrixGroup,IsMatrixGroup],[IsFinite,IsFinite],0);[128X[104X
  [4X[32X[104X
  
  
  [1X80.4 [33X[0;0YAdding a new Operation[133X[101X
  
  [33X[0;0YNext,  we will consider how to add own operations. As an example we take the
  Sylow  normalizer  in  a  group  of  a  given prime. This operation gets two
  arguments, the first has to be a group, the second a prime number.[133X
  
  [33X[0;0YThere  is  a  function  [2XIsPrimeInt[102X ([14X14.4-2[114X), but no property for being prime
  (which  would be pointless as integers cannot store property values anyhow).
  So the second argument gets specified only as positive integer:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XSylowNormalizer:=NewOperation("SylowNormalizer",[IsGroup,IsPosInt]);[128X[104X
  [4X[32X[104X
  
  [33X[0;0Y(Note  that  we  are using [2XNewOperation[102X ([14X78.1-4[114X) instead of [2XDeclareOperation[102X
  ([14X78.1-5[114X)  as  used  in  the  library.  The  only  difference other than that
  [2XDeclareOperation[102X  ([14X78.1-5[114X)  saves  some typing, is that it also protects the
  variables against overwriting. When testing code (when one probably wants to
  change  things)  this might be restricting. If this does not bother you, you
  can use[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareOperation("SylowNormalizer",[IsGroup,IsPosInt]);[128X[104X
  [4X[32X[104X
  
  [33X[0;0Yas well.)[133X
  
  [33X[0;0YThe  filters  [2XIsGroup[102X  ([14X39.2-7[114X) and [2XIsPosInt[102X ([14X14.2-2[114X) given are [13Xonly[113X used to
  test  that  [2XInstallMethod[102X  ([14X78.3-1[114X) installs methods with suitable arguments
  and  will  be  completely  ignored  when  using [2XInstallOtherMethod[102X ([14X78.3-2[114X).
  Technically  one  could  therefore  simply  use  [2XIsObject[102X  ([14X12.1-1[114X)  for all
  arguments  in the declaration. The main point of using more specific filters
  here  is to help documenting with which arguments the function is to be used
  (so for example a call [10XSylowNormalizer(5,G)[110X would be invalid).[133X
  
  [33X[0;0YOf  course  initially  there  are  no  useful  methods  for  newly  declared
  operations; you will have to write and install them yourself.[133X
  
  [33X[0;0YIf  the  operation  only  takes  one  argument  and has reproducible results
  without  side  effects,  it  might  be  worth  declaring  it as an attribute
  instead; see Section [14X80.5[114X.[133X
  
  
  [1X80.5 [33X[0;0YAdding a new Attribute[133X[101X
  
  [33X[0;0YNow  we  look  at  an  example  of how to add a new attribute. As example we
  consider the set of all primes that divide the size of a group.[133X
  
  [33X[0;0YFirst we have to declare the attribute:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XPrimesDividingSize:=NewAttribute("PrimesDividingSize",IsGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0Y(See [2XNewAttribute[102X  ([14X13.5-3[114X)).  This implicitly declares attribute tester and
  setter, it is convenient however to assign these to variables as well:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XHasPrimesDividingSize:=Tester(PrimesDividingSize);[128X[104X
    [4X[28XSetPrimesDividingSize:=Setter(PrimesDividingSize);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YAlternatively, there is a declaration command [2XDeclareAttribute[102X ([14X13.5-4[114X) that
  executes  all  three  assignments  simultaneously and protects the variables
  against overwriting:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareAttribute("PrimesDividingSize",IsGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YNext  we have to install method(s) for the attribute that compute its value.
  (This  is  not  strictly  necessary. We could use the attribute also without
  methods  only  for  storing  and  retrieving information, but calling it for
  objects  for  which  the  value is not known would produce a [21Xno method found[121X
  error.)  For  this  purpose  we  can  imagine  the  attribute  simply  as an
  one-argument operation:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(PrimesDividingSize,"for finite groups",[128X[104X
    [4X[28X  [IsGroup and IsFinite],[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28X  return PrimeDivisors(Size(G));[128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThe  function  installed  [13Xmust[113X  always return a value (or call [2XTryNextMethod[102X
  ([14X78.5-1[114X)).  If  the  object  is  in the representation [2XIsAttributeStoringRep[102X
  ([14X13.5-5[114X)  this  return  value once computed will be automatically stored and
  retrieved  if  the  attribute is called a second time. We don't have to call
  setter  or tester ourselves. (This storage happens by [5XGAP[105X internally calling
  the  attribute setter with the return value of the function. Retrieval is by
  a   high-ranking   method   which   is   installed   under   the   condition
  [10XHasPrimesDividingSize[110X.  This  method  was  installed  automatically when the
  attribute was declared.)[133X
  
  
  [1X80.6 [33X[0;0YAdding a new Representation[133X[101X
  
  [33X[0;0YNext,  we  look  at  the  implementation of a new representation of existing
  objects.  In  most  cases  we want to implement this representation only for
  efficiency reasons while keeping all the existing functionality.[133X
  
  [33X[0;0YFor  example,  assume we wanted (following [Wie69]) to implement permutation
  groups defined by relations.[133X
  
  [33X[0;0YNext,  we have to decide a few basics about the representation. All existing
  permutation groups in the library are attribute storing and we probably want
  to  keep  this  for  our  new  objects.  Thus  the  representation must be a
  subrepresentation of [2XIsComponentObjectRep[102X ([14X13.4-1[114X) and [2XIsAttributeStoringRep[102X
  ([14X13.5-5[114X).  Furthermore  we want each object to be a permutation group and we
  can imply this directly in the representation.[133X
  
  [33X[0;0YWe  also  decide  that  we store the degree (the largest point that might be
  moved)  in  a  component  [10Xdegree[110X  and  the defining relations in a component
  [10Xrelations[110X  (we  do  not  specify  the format of relations here. In an actual
  implementation one would have to design this as well, but it does not affect
  the declarations this chapter is about).[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareRepresentation([128X[104X
    [4X[28X  "IsPermutationGroupByRelations",[128X[104X
    [4X[28X  IsComponentObjectRep and IsAttributeStoringRep and IsPermGroup,[128X[104X
    [4X[28X  ["degree","relations"]);[128X[104X
  [4X[32X[104X
  
  [33X[0;0Y(If  we  wanted  to  implement  sparse  matrices we might for example rather
  settle  for  a  positional  object  in  which we store a list of the nonzero
  entries.)[133X
  
  [33X[0;0YWe  can  make the new representation a subrepresentation of an existing one.
  In  such  a  case  of course we have to provide all structure of this [21Xparent[121X
  representation as well.[133X
  
  [33X[0;0YNext  we need to check in which family our new objects will be. This will be
  the   same   family   as  of  every  other  permutation  group,  namely  the
  [10XCollectionsFamily(PermutationsFamily)[110X (where the family [10XPermutationsFamily =
  FamilyObj((1,2,3))[110X has been defined already in the library).[133X
  
  [33X[0;0YNow we can write a function to create our new objects. Usually it is helpful
  to  look  at  functions from the library that are used in similar situations
  (for  example  [2XGroupByGenerators[102X  ([14X39.2-2[114X) in our case) to make sure we have
  not  forgotten  any further requirements in the declaration we might have to
  add here. However in most cases the function is straightforward:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XPermutationGroupByRelations:=function(degree,relations)[128X[104X
    [4X[28Xlocal g[128X[104X
    [4X[28X  g:=Objectify(NewType(CollectionsFamily(PermutationsFamily),[128X[104X
    [4X[28X               IsPermutationGroupByRelations),[128X[104X
    [4X[28X               rec(degree:=degree,relations:=relations));[128X[104X
    [4X[28X  return g;[128X[104X
    [4X[28Xend;[128X[104X
  [4X[32X[104X
  
  [33X[0;0YIt  also  is  a  good idea to install a [2XPrintObj[102X ([14X6.3-5[114X) and possibly also a
  [2XViewObj[102X ([14X6.3-5[114X) method –otherwise testing becomes quite hard:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(PrintObj,"for perm grps. given by relations",[128X[104X
    [4X[28X  [IsPermutationGroupByRelations],[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28X  Print("PermutationGroupByRelations(", G!.degree,",",G!.relations,")");[128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YNext  we have to write enough methods for the new representation so that the
  existing  algorithms  can  be  used. In particular we will have to implement
  methods  for all operations for which library or kernel provides methods for
  the existing (alternative) representations. In our particular case there are
  no such methods. (If we would have implemented sparse matrices we would have
  had  to  implement methods for the list access and assignment functions, see
  [14X21.2[114X.)  However  the  existing  way permutation groups are represented is by
  generators.  To  be able to use the existing machinery we want to be able to
  obtain  a generating set also for groups in our new representation. This can
  be  done  (albeit  not  very effectively) by a stabilizer calculation in the
  symmetric group given by the [10Xdegree[110X component. The operation function to use
  is probably a bit complicated and will depend on the format of the [10Xrelations[110X
  (we  have  not  specified  in  this example). In the following method we use
  [10Xoperationfunction[110X as a placeholder;[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(GeneratorsOfGroup,"for perm grps. given by relations",[128X[104X
    [4X[28X  [IsPermutationGroupByRelations],[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28Xlocal S,U;[128X[104X
    [4X[28X  S:=SymmetricGroup(G!.degree);[128X[104X
    [4X[28X  U:=Stabilizer(S,G!.relations,  operationfunction );[128X[104X
    [4X[28X  return GeneratorsOfGroup(U);[128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThis  is all we [13Xmust[113X do. Of course for performance reasons one might want to
  install methods for further operations as well.[133X
  
  
  [1X80.7 [33X[0;0YComponents versus Attributes[133X[101X
  
  [33X[0;0YIn  the  last  section  we  introduced  two  new  components,  [10XG!.degree[110X and
  [10XG!.relations[110X.  Technically,  we could have used attributes instead. There is
  no  clear  distinction  which  variant  is  to  be  preferred:  An attribute
  expresses  part  of the functionality available to certain objects (and thus
  could  be  computed later and probably even for a wider class of objects), a
  component is just part of the internal definition of an object.[133X
  
  [33X[0;0YSo if the data is [21Xof general interest[121X, if we want the user to have access to
  it,  attributes  are  preferable.  Moreover,  attributes  can be used by the
  method  selection  (by specifying the filter [10XHasAttr[110X for an attribute [10XAttr[110X).
  They  provide a clean interface and their immutability makes it safe to hand
  the data to a user who potentially could corrupt a components entries.[133X
  
  [33X[0;0YOn  the other hand more [21Xtechnical[121X data (say the encoding of a sparse matrix)
  is  better  hidden  from  the  user  in  a  component, as declaring it as an
  attribute would not give any advantage.[133X
  
  [33X[0;0YResource-wise,  attributes need more memory (the attribute setter and tester
  are  implicitly  declared,  and  one  filter bit is required), the attribute
  access  is one further function call in the kernel, thus components might be
  an immeasurable bit faster.[133X
  
  
  [1X80.8 [33X[0;0YAdding new Concepts[133X[101X
  
  [33X[0;0YNow we look how to implement a new concept for existing objects and fit this
  in  the  method  selection.  Three  examples that will be made more explicit
  below  would  be groups for which a [21Xlength[121X of elements (as a word in certain
  generators)  is  defined,  groups  that  can  be  decomposed as a semidirect
  product and M-groups.[133X
  
  [33X[0;0YIn  each  case  we have two possibilities for the declaration. We can either
  declare it as a property or as a category. Both are eventually filter(s) and
  in  this  way indistinguishable for the method selection. However, the value
  of  a  property for a particular object can be unknown at first and later in
  the  session  be  computed  (to  be  [9Xtrue[109X  or [9Xfalse[109X). This is implemented by
  reserving two filters for each property, one indicating whether the property
  value is known, and one, provided the value is known, to indicate the actual
  boolean  value. Contrary to this, the decision whether or not an object lies
  in  a  category  is  taken  at creation time and this is implemented using a
  single filter.[133X
  
  [8XProperty:[108X
        [33X[0;6YProperties  also  are attributes: If a property value is not known for
        an  object,  [5XGAP[105X tries to find a method to compute the property value.
        If no suitable method is found, an error is raised.[133X
  
  [8XCategory:[108X
        [33X[0;6YAn  object  is in a category if it has been created in it. Testing the
        category  for  an  object  simply returns this value. Existing objects
        cannot  enter  a  new  category later in life. This means that in most
        cases one has to write own code to create objects in a new category.[133X
  
        [33X[0;6YIf  we  want  to  implement  a  completely  new  concept  so  that new
        operations   are  defined  only  for  the  new  objects  –for  example
        bialgebras  for  which  a  second  scalar  multiplication  is defined–
        usually a category is chosen.[133X
  
        [33X[0;6YTechnically,   the  behaviour  of  the  category  [10XIsXYZ[110X,  declared  as
        subcategory  of  [10XIsABC[110X  is  therefore  exactly the same as if we would
        declare  [10XIsXYZ[110X  to  be  a property for [10XIsABC[110X and install the following
        method:[133X
  
  [4X      [32X  Example  [32X[104X
          [4X[28XInstallMethod(IsXYZ,"return false if not known",[IsABC],ReturnFalse);[128X[104X
        [4X[32X[104X
  
        [33X[0;6Y(The  word  [10Xcategory[110X also has a well-defined mathematical meaning, but
        this  does  not  need  to concern us at this point. The set of objects
        which is defined to be a ([5XGAP[105X) category does not need to be a category
        in  the mathematical sense, vice versa not every mathematical category
        is declared as a ([5XGAP[105X) category.)[133X
  
  [33X[0;0YEventually  the  choice between category and property often becomes a matter
  of taste or style.[133X
  
  [33X[0;0YSometimes  there  is  even a third possibility (if you have [5XGAP[105X 3 experience
  this might reflect most closely [21Xan object whose operations record is [10XXYOps[110X[121X):
  We  might  want to indicate this new concept simply by the fact that certain
  attributes  are  set.  In  this  case  we  could  simply  use the respective
  attribute tester(s).[133X
  
  [33X[0;0YThe  examples  given  below  each  give  a short argument why the respective
  solution was chosen, but one could argue as well for other choices.[133X
  
  
  [1X80.8-1 [33X[0;0YExample: M-groups[133X[101X
  
  [33X[0;0YM-groups are finite groups for which all irreducible complex representations
  are induced from linear representations of subgroups, it turns out that they
  are  all  solvable  and  that  every  supersolvable group is an M-group. See
  [Isa76] for further details.[133X
  
  [33X[0;0YSolvability  and supersolvability both are testable properties. We therefore
  declare [10XIsMGroup[110X as a property for solvable groups:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XIsMGroup:=NewProperty("IsMGroup",IsSolvableGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThe  filter  [2XIsSolvableGroup[102X  ([14X39.15-6[114X)  in this declaration [13Xonly[113X means that
  methods  for  [10XIsMGroup[110X  by default can only be installed for groups that are
  (and  know  to be) solvable (though they could be installed for more general
  situations  using  [2XInstallOtherMethod[102X  ([14X78.3-2[114X)). It does not yet imply that
  M-groups  are  solvable. We must do this deliberately via an implication and
  we  use  the  same  technique  to imply that every supersolvable group is an
  M-group.[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallTrueMethod(IsSolvableGroup,IsMGroup);[128X[104X
    [4X[28XInstallTrueMethod(IsMGroup,IsSupersolvableGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YNow  we  might  install a method that tests for solvable groups whether they
  are M-groups:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XInstallMethod(IsMGroup,"for solvable groups",[IsSolvableGroup],[128X[104X
    [4X[28Xfunction(G)[128X[104X
    [4X[28X  [... code omitted. The function must return `true' or `false' ...][128X[104X
    [4X[28Xend);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YNote  that  this  example  of  declaring  the [10XIsMGroup[110X property for solvable
  groups  is not a part of the [5XGAP[105X library, which uses a similar but different
  filter [2XIsMonomialGroup[102X ([14X39.15-9[114X).[133X
  
  
  [1X80.8-2 [33X[0;0YExample: Groups with a word length[133X[101X
  
  [33X[0;0YOur  second  example  is  that of groups for whose elements a [13Xword length[113X is
  defined.  (We  assume that the word length is only defined in the context of
  the  group  with  respect to a preselected generating set but not for single
  elements  alone.  However  we  will  not  delve into any details of how this
  length is defined and how it could be computed.)[133X
  
  [33X[0;0YHaving  a  word  length  is  a  feature  which enables other operations (for
  example  a  [21Xword  length[121X  function).  This  is  exactly  what categories are
  intended for and therefore we use one.[133X
  
  [33X[0;0YFirst,  we declare the category. All objects in this category are groups and
  so we inherit the supercategory [2XIsGroup[102X ([14X39.2-7[114X):[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareCategory("IsGroupWithWordLength",IsGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YWe  also  define  the  operation which is [21Xenabled[121X by this category, the word
  length  of  a  group  element,  which  is defined for a group and an element
  (remember    that   group   elements   are   described   by   the   category
  [2XIsMultiplicativeElementWithInverse[102X ([14X31.14-13[114X)):[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareOperation("WordLengthOfElement",[IsGroupWithWordLength,[128X[104X
    [4X[28X  IsMultiplicativeElementWithInverse]);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YWe  then  would  proceed by installing methods to compute the word length in
  concrete  cases and might for example add further operations to get shortest
  words in cosets.[133X
  
  
  [1X80.8-3 [33X[0;0YExample: Groups with a decomposition as semidirect product[133X[101X
  
  [33X[0;0YThe  third  example  is  groups which have a (nontrivial) decomposition as a
  semidirect  product.  If  this information has been found out, we want to be
  able  to use it in algorithms. (Thus we do not only need the fact [13Xthat[113X there
  is a decomposition, but also the decomposition itself.)[133X
  
  [33X[0;0YWe  also  want  this to be applicable to every group and not only for groups
  which have been explicitly constructed via [2XSemidirectProduct[102X ([14X49.2-1[114X).[133X
  
  [33X[0;0YInstead  we  simply  declare an attribute [10XSemidirectProductDecomposition[110X for
  groups.  (Again,  in  this  manual we don't go in the details of how such an
  decomposition would look like).[133X
  
  [4X[32X  Example  [32X[104X
    [4X[28XDeclareAttribute("SemidirectProductDecomposition",IsGroup);[128X[104X
  [4X[32X[104X
  
  [33X[0;0YIf  a  decomposition  has  been  found,  it  can  be stored in a group using
  [10XSetSemidirectProductDecomposition[110X.  (At  the  moment  all  groups in [5XGAP[105X are
  attribute storing.)[133X
  
  [33X[0;0YMethods  that  rely  on  the  existence  of  such  a  decomposition then get
  installed for the tester filter [10XHasSemidirectProductDecomposition[110X.[133X
  
  
  [1X80.9 [33X[0;0YCreating Own Arithmetic Objects[133X[101X
  
  [33X[0;0YFinally  let's  look  at  a  way  to  create new objects with a user-defined
  arithmetic such that one can form for example groups, rings or vector spaces
  of  these  elements.  This  topic  is  discussed  in  much  more  detail  in
  chapter [14X82[114X,  in this section we present a simple approach that may be useful
  to get started but does not permit you to exploit all potential features.[133X
  
  [33X[0;0YThe  basic design is that the user designs some way to represent her objects
  in  terms of [5XGAP[105Xs built-in types, for example as a list or a record. We call
  this  the [21Xdefining data[121X of the new objects. Also provided are functions that
  perform  arithmetic on this [21Xdefining data[121X, that is they take objects of this
  form  and  return  objects  that  represent the result of the operation. The
  function  [2XArithmeticElementCreator[102X  ([14X80.9-1[114X)  then  is  called  to provide a
  wrapping  such  that  proper  new  [5XGAP[105X-objects  are  created  which  can  be
  multiplied etc. with the default infix operations such as [10X*[110X.[133X
  
  [1X80.9-1 ArithmeticElementCreator[101X
  
  [33X[1;0Y[29X[2XArithmeticElementCreator[102X( [3Xspec[103X ) [32X function[133X
  
  [33X[0;0Yoffers  a  simple  interface  to create new arithmetic elements by providing
  functions  that perform addition, multiplication and so forth, conforming to
  the  specification  [3Xspec[103X.  [10XArithmeticElementCreator[110X  creates a new category,
  representation and family for the new arithmetic elements being defined, and
  returns  a  function which takes the [21Xdefining data[121X of an element and returns
  the corresponding new arithmetic element.[133X
  
  [33X[0;0Y[3Xspec[103X is a record with one or more of the following components:[133X
  
  [8X[10XElementName[110X[8X[108X
        [33X[0;6Ystring  used  to  identify the new type of object. A global identifier
        [10XIs[3XElementName[103X[10X[110X  will  be  defined  to indicate a category for these now
        objects. (Therefore it is not clever to have blanks in the name). Also
        a  collections  category is defined. (You will get an error message if
        the identifier [10XIs[3XElementName[103X[10X[110X is already defined.)[133X
  
  [8X[10XEquality[110X[8X, [10XLessThan[110X[8X, [10XOne[110X[8X, [10XZero[110X[8X, [10XMultiplication[110X[8X, [10XInverse[110X[8X, [10XAddition[110X[8X, [10XAdditiveInverse[110X[8X[108X
        [33X[0;6Yfunctions  defining the arithmetic operations. The functions interface
        on  the  level  of  [21Xdefining  data[121X,  the actual methods installed will
        perform  the  unwrapping  and  wrapping  as  objects.  Components  are
        optional,  but  of  course  if  no  multiplication is defined elements
        cannot be multiplied and so forth.[133X
  
        [33X[0;6YThere  are  default  methods  for  [10XEquality[110X  and [10XLessThan[110X which simply
        calculate  on the defining data. If one is defined, it must be ensured
        that the other is compatible (so that [22Xa < b[122X implies not [22X(a = b)[122X)[133X
  
  [8X[10XPrint[110X[8X[108X
        [33X[0;6Ya function which prints the object. By default, just the defining data
        is printed.[133X
  
  [8X[10XMathInfo[110X[8X[108X
        [33X[0;6Yfilters  determining  the  mathematical  properties  of  the  elements
        created.       A      typical      value      is      for      example
        [10XIsMultiplicativeElementWithInverse[110X for group elements.[133X
  
  [8X[10XRepInfo[110X[8X[108X
        [33X[0;6Yfilters  determining  the  representational properties of the elements
        created.  The objects created are always component objects, so in most
        cases  the  only  reasonable option is [10XIsAttributeStoringRep[110X to permit
        the storing of attributes.[133X
  
  [33X[0;0YAll  components  are  optional  and  will  be  filled in with default values
  (though of course an empty record will not result in useful objects).[133X
  
  [33X[0;0YNote  that  the resulting objects are [13Xnot equal[113X to their defining data (even
  though  by  default  they  print  as  only the defining data). The operation
  [10XUnderlyingElement[110X  can  be  used  to  obtain  the  defining  data of such an
  element.[133X
  
  
  [1X80.9-2 [33X[0;0YExample: ArithmeticElementCreator[133X[101X
  
  [33X[0;0YAs  the  first  example  we  look  at subsets of [22X{ 1, ..., 4 }[122X and define an
  [21Xaddition[121X  as  union and [21Xmultiplication[121X as intersection. These operations are
  both commutative and we want the resulting elements to know this.[133X
  
  [33X[0;0YWe therefore use the following specification:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[25Xgap>[125X [27X# the whole set[127X[104X
    [4X[25Xgap>[125X [27Xw := [1,2,3,4];[127X[104X
    [4X[28X[ 1, 2, 3, 4 ][128X[104X
    [4X[25Xgap>[125X [27XPosetElementSpec :=rec([127X[104X
    [4X[25X>[125X [27X  # name of the new elements[127X[104X
    [4X[25X>[125X [27X  ElementName := "PosetOn4",[127X[104X
    [4X[25X>[125X [27X  # arithmetic operations[127X[104X
    [4X[25X>[125X [27X  One := a -> w,[127X[104X
    [4X[25X>[125X [27X  Zero := a -> [],[127X[104X
    [4X[25X>[125X [27X  Multiplication := function(a, b) return Intersection(a, b); end,[127X[104X
    [4X[25X>[125X [27X  Addition := function(a, b) return Union(a, b); end,[127X[104X
    [4X[25X>[125X [27X  # Mathematical properties of the elements[127X[104X
    [4X[25X>[125X [27X  MathInfo := IsCommutativeElement and[127X[104X
    [4X[25X>[125X [27X              IsAssociativeElement and[127X[104X
    [4X[25X>[125X [27X              IsAdditivelyCommutativeElement[127X[104X
    [4X[25X>[125X [27X);;[127X[104X
    [4X[25Xgap>[125X [27Xmkposet := ArithmeticElementCreator(PosetElementSpec);[127X[104X
    [4X[28Xfunction( x ) ... end[128X[104X
  [4X[32X[104X
  
  [33X[0;0YNow we can create new elements, perform arithmetic on them and form domains:[133X
  
  [4X[32X  Example  [32X[104X
    [4X[25Xgap>[125X [27Xa := mkposet([1,2,3]);[127X[104X
    [4X[28X[ 1, 2, 3 ][128X[104X
    [4X[25Xgap>[125X [27XCategoriesOfObject(a);[127X[104X
    [4X[28X[ "IsExtAElement", "IsNearAdditiveElement",[128X[104X
    [4X[28X  "IsNearAdditiveElementWithZero", "IsAdditiveElement",[128X[104X
    [4X[28X  "IsExtLElement", "IsExtRElement", "IsMultiplicativeElement",[128X[104X
    [4X[28X  "IsMultiplicativeElementWithOne", "IsAssociativeElement",[128X[104X
    [4X[28X  "IsAdditivelyCommutativeElement", "IsCommutativeElement",[128X[104X
    [4X[28X  "IsPosetOn4" ][128X[104X
    [4X[25Xgap>[125X [27Xa=[1,2,3];[127X[104X
    [4X[28Xfalse[128X[104X
    [4X[25Xgap>[125X [27XUnderlyingElement(a)=[1,2,3];[127X[104X
    [4X[28Xtrue[128X[104X
    [4X[25Xgap>[125X [27Xb:=mkposet([2,3,4]);[127X[104X
    [4X[28X[ 2, 3, 4 ][128X[104X
    [4X[25Xgap>[125X [27Xa+b;[127X[104X
    [4X[28X[ 1 .. 4 ][128X[104X
    [4X[25Xgap>[125X [27Xa*b;[127X[104X
    [4X[28X[ 2, 3 ][128X[104X
    [4X[25Xgap>[125X [27Xs:=Semigroup(a,b);[127X[104X
    [4X[28X<commutative semigroup with 2 generators>[128X[104X
    [4X[25Xgap>[125X [27XSize(s);[127X[104X
    [4X[28X3[128X[104X
  [4X[32X[104X
  
  [33X[0;0YThe  categories  [10XIsPosetOn4[110X  and [10XIsPosetOn4Collection[110X can be used to install
  methods specific to the new objects.[133X
  
  [4X[32X  Example  [32X[104X
    [4X[25Xgap>[125X [27XIsPosetOn4Collection(s);[127X[104X
    [4X[28Xtrue[128X[104X
  [4X[32X[104X
  
