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# 3 Creating New Objects

### Sections

1. Creating Categories
2. Creating Representations
3. Creating Attributes and Properties
4. Creating Other Filters
5. Creating Operations
6. Creating Families
7. Creating Types
8. Creating Objects
9. Component Objects
10. Positional Objects
11. Implementing New List Objects
12. Arithmetic Issues in the Implementation of New Kinds of Lists
13. External Representation
14. Mutability and Copying
15. Global Variables in the Library
16. Declaration and Implementation Part

This chapter is divided into three parts.

In the first part, it is explained how to create filters (see Creating Categories, Creating Representations, Creating Attributes and Properties, Creating Other Filters), operations (see Creating Operations), families (see Creating Families), types (see Creating Types), and objects with given type (see Creating Objects).

In the second part, first a few small examples are given, for dealing with the usual cases of component objects (see Component Objects) and positional objects (see Positional Objects), and for the implementation of new kinds of lists (see Implementing New List Objects and Arithmetic Issues in the Implementation of New Kinds of Lists). Finally, the external representation of objects is introduced (see External Representation), as a tool for representation independent access to an object.

The third part deals with some rules concerning the organization of the GAP library; namely, some commands for creating global variables are explained (see Global Variables in the Library) that correspond to the ones discussed in the first part of the chapter, and the idea of distinguishing declaration and implementation part of GAP packages is outlined (see Declaration and Implementation Part).

See also Chapter An Example -- Residue Class Rings for examples how the functions from the first part are used, and why it is useful to have a declaration part and an implementation part.

## 3.1 Creating Categories

- `NewCategory(` name`,` super`)`

  `NewCategory` returns a new category cat that has the name name and is contained in the filter super, see Filters in the Reference Manual. This means that every object in cat lies automatically also in super. We say also that super is an implied filter of cat.

  For example, if one wants to create a category of group elements then super should be `IsMultiplicativeElementWithInverse` or a subcategory of it. If no specific supercategory of cat is known, super may be `IsObject`.

  @Eventually tools will be provided to display hierarchies of categories etc., which will help to choose super appropriately.@

  The incremental rank (see Filters in the Reference Manual) of cat is 1.

  Two functions that return special kinds of categories are of importance.

- `CategoryCollections(` cat`)`

  For a category cat, `CategoryCollections` returns the collections category of cat. This is a category in that all collections of objects in cat lie.

  For example, a permutation lies in the category `IsPerm`, and every dense list of permutations and every domain of permutations lies in the collections category of `IsPerm`.

- `CategoryFamily(` cat`)`

  For a category cat, `CategoryFamily` returns the family category of cat. This is a category in that all families lie that know from their creation that all their elements are in the category cat, see Creating Families.

  For example, a family of tuples is in the category `CategoryFamily( IsTuple )`, and one can distinguish such a family from others by this category. So it is possible to install methods for operations that require one argument to be a family of tuples.

  `CategoryFamily` is quite technical, and in fact of minor importance.

  ## 3.2 Creating Representations

- `NewRepresentation(` name`,` super`,` slots`)`

  `NewRepresentation` returns a new representation rep that has the name name and is a subrepresentation of the representation super. This means that every object in rep lies automatically also in super. We say also that super is an implied filter of rep.

  Each representation in GAP is a subrepresentation of exactly one of the four representations `IsInternalRep`, `IsDataObjectRep`, `IsComponentObjectRep`, `IsPositionalObjectRep`. The data describing objects in the former two can be accessed only via GAP kernel functions, the data describing objects in the latter two is accessible also in library functions, see Component Objects and Positional Objects for the details.

  The third argument slots is a list either of integers or of strings. In the former case, rep must be `IsPositionalObjectRep` or a subrepresentation of it, and slots tells what positions of the objects in the representation rep may be bound. In the latter case, rep must be `IsComponentObjectRep` or a subrepresentation of, and slots lists the admissible names of components that objects in the representation rep may have. The admissible positions resp. component names of super need not be be listed in slots.

  The incremental rank (see Filters in the Reference Manual) of rep is 1.

  Note that for objects in the representation rep, of course some of the component names and positions reserved via slots may be unbound.

  Examples for the use of `NewRepresentation` can be found in Component Objects, Positional Objects, and also in A Second Attempt to Implement Elements of Residue Class Rings.

  ## 3.3 Creating Attributes and Properties

- `NewAttribute(` name`,` filt`)`
- `NewAttribute(` name`,` filt`,` rank`)`

  `NewAttribute` returns a new attribute attr with name name (see also Attributes in the Reference Manual). The filter filt describes the involved filters of attr (see Filters in the Reference Manual). That is, the argument for attr is expected to lie in filt.

  Each method for attr that does not require its argument to lie in filt must be installed using `InstallOtherMethod`.

  Contrary to the situation with categories and representations, the tester of attr does not imply filt. This is exactly because of the possibility to install methods that do not require filt.

  For example, the attribute `Size` was created with second argument a list or a collection, but there is also a method for `Size` that is applicable to a character table, which is neither a list nor a collection.

  The optional third argument rank denotes the incremental rank (see Filters in the Reference Manual) of the tester of attr, the default value is 1.

- `NewAttribute(` name`,` filt`, "mutable" )`
- `NewAttribute(` name`,` filt`, "mutable",` rank`)`

  If the third argument is the string `"mutable"`, the stored values of the new attribute are not forced to be immutable. This is useful for an attribute whose value is some partial information that may be completed later. For example, there is an attribute `ComputedSylowSubgroups` for the list holding those Sylow subgroups of a group that have been computed already by the function `SylowSubgroup`, and this list is mutable because one may want to enter groups into it as they are computed.

- `NewProperty(` name`,` filt`)`
  ``
- NewProperty( name`,` filt`,` rank`)`

  `NewProperty` returns a new property prop with name name (see also Properties in the Reference Manual). The filter filt describes the involved filters of prop. As in the case of attributes, filt is not implied by prop.

  The optional third argument rank denotes the incremental rank (see Filters in the Reference Manual) of the property prop itself, i.e. not of its tester, the default value is 1.

  Each method that is installed for an attribute or a property via `InstallMethod` must require exactly one argument, and this must lie in the filter filt that was entered as second argument of `NewAttribute` resp. `NewProperty`.

  As for any operation (see Creating Operations), for attributes and properties one can install a method taking an argument that does not lie in filt via `InstallOtherMethod`, or a method for more than one argument; in the latter case, clearly the result value is not stored in any of the arguments.

  ## 3.4 Creating Other Filters

- `NewFilter(` name`)`
  ``
- NewFilter( name`,` rank`)`

  `NewFilter` returns a simple filter with name name (see Other Filters in the Reference Manual). The optional second argument rank denotes the incremental rank (see Filters in the Reference Manual) of the filter, the default value is 1.

  In order to change the value of filt for an object obj, one can use logical implications (see Logical Implications) or the functions

- `SetFilterObj(` obj`,` filt`)`
- `ResetFilterObj(` obj`,` filt`)`

  `SetFilterObj` sets the value of filt (and of all filters implied by filt) for obj to `true`,

  `ResetFilterObj` sets the value of filt for obj to `false` (but implied filters of filt are not touched. This might create inconsistent situations if applied carelessly).

  The default value of filt for each object is `false`.

  ## 3.5 Creating Operations

- `NewOperation(` name`,` args-filts`)`

  `NewOperation` returns an operation opr with name name. The list args-filts describes requirements about the arguments of opr, namely the number of arguments must be equal to the length of args-filts, and the i-th argument must lie in the filter ``args-filts`[i]`.

  Each method that is installed for opr via `InstallMethod` must require that the i-th argument lies in the filter ``args-filts`[i]`.

  One can install methods for other arguments tuples via `InstallOtherMethod`, this way it is also possible to install methods for a different number of arguments than the length of args-filts.

  ## 3.6 Creating Families

  Families are probably the least obvious part of the GAP type system, so some remarks about the role of families are necessary. When one uses GAP as it is, one will (better: should) not meet families at all. The two situations where families come into play are the following.

  First, since families are used to describe relations between arguments of operations in the method selection mechanism (see Chapter Method Selection in this manual, and also Chapter Types of Objects in the Reference Manual), one has to prescribe such a relation in each method installation (see Method Installation); usual relations are `ReturnTrue` (which means that any relation of the actual arguments is admissible), `IsIdenticalObj` (which means that there are two arguments that lie in the same family), and `IsCollsElms` (which means that there are two arguments, the first being a collection of elements that lie in the same family as the second argument).

  Second ---and this is the more complicated situation--- whenever one creates a new kind of objects, one has to decide what its family shall be. If the new object shall be equal to existing objects, for example if it is just represented in a different way, there is no choice: The new object must lie in the same family as all objects that shall be equal to it. So only if the new object is different (w.r.t. the equality ```=`'') from all other GAP objects, we are likely to create a new family for it. Note that enlarging an existing family by such new objects may be problematic because of implications that have been installed for all objects of the family in question. The choice of families depends on the applications one has in mind. For example, if the new objects in question are not likely to be arguments of operations for which family relations are relevant (for example binary arithmetic operations), one could create one family for all such objects, and regard it as ``the family of all those GAP objects that would in fact not need a family''. On the other extreme, if one wants to create domains of the new objects then one has to choose the family in such a way that all intended elements of a domain do in fact lie in the same family. (Remember that a domain is a collection, see Chapter Domains in the Reference Manual, and that a collection consists of elements in the same family, see Chapter Collections and Section Families in the Reference Manual.)

  Let us look at an example. Suppose that no permutations are available in GAP, and that we want to implement permutations. Clearly we want to support permutation groups, but it is not a priori clear how to distribute the new permutations into families. We can put all permutations into one family; this is how in fact permutations are implemented in GAP. But it would also be possible to put all permutations of a given degree into a family of their own; this would for example mean that for each degree, there would be distinguished trivial permutations, and that the stabilizer of the point `5` in the symmetric group on the points `1`, `2`, ¼, `5` is not regarded as equal to the symmetric group on `1`, `2`, `3`, `4`. Note that the latter approach would have the advantage that it is no problem to construct permutations and permutation groups acting on arbitrary (finite) sets, for example by constructing first the symmetric group on the set and then generating any desired permutation group as a subgroup of this symmetric group.

  So one aspect concerning a reasonable choice of families is to make the families large enough for being able to form interesting domains of elements in the family. But on the other hand, it is useful to choose the families small enough for admitting meaningful relations between objects. For example, the elements of different free groups in GAP lie in different families; the multiplication of free group elements is installed only for the case that the two operands lie in the same family, with the effect that one cannot erroneously form the product of elements from different free groups. In this case, families appear as a tool for providing useful restrictions.

  As another example, note that an element and a collection containing this element never lie in the same family, by the general implementation of collections; namely, the family of a collection of elements in the family Fam is the collections family of Fam (see CollectionsFamily). This means that for a collection, we need not (because we cannot) decide about its family.

- `NewFamily(` name`)`
  ``
- NewFamily( name`,` req`)`
  ``
- NewFamily( name`,` req`,` imp`)`
  ``
- NewFamily( name`,` req`,` imp`,` famfilter`)`

  `NewFamily` returns a new family fam with name name. The argument req, if present, is a filter of which fam shall be a subset. If one tries to create an object in fam that does not lie in the filter req, an error message is printed. Also the argument imp, if present, is a filter of which fam shall be a subset. Any object that is created in the family fam will lie automatically in the filter imp.

  The filter famfilter, if given, specifies a filter that will hold for the family fam (not for objects in fam).

  Families are always represented as component objects (see Component Objects). This means that components can be used to store and access useful information about the family.

  There are a few functions in GAP that construct families. As an example, consider (see also Collection Families in the Reference Manual)

- `CollectionsFamily(` fam`)`

  `CollectionsFamily` is an attribute that takes a family fam as argument, and returns the family of all collections over fam, that is, of all dense lists and domains that consist of objects in fam.

  The `NewFamily` call in the standard method of `CollectionsFamily` is executed with second argument `IsCollection`, since every object in the collections family must be a collection, and with third argument the collections categories of the involved categories in the implied filter of fam.

  If fam is a collections family then

- `ElementsFamily(` fam`)`

  returns the unique family with collections family fam; note that by definition, all elements in a collection lie in the same family, so `ElementsFamily(` fam`)` is the family of each element in any collection that has the family fam.

  ## 3.7 Creating Types

- `NewType(` fam`,` filt`)`
  ``
- NewType( fam`,` filt`,` data`)`

  `NewType` returns the type given by the family fam and the filter filt. The optional third argument data is any object that denotes defining data of the desired type.

  For examples where `NewType` is used, see Component Objects, Positional Objects, and the example in Chapter An Example -- Residue Class Rings.

  ## 3.8 Creating Objects

- `Objectify(` type`,` data`) F`

  New objects are created by `Objectify`. data is a list or a record, and type is the type that the desired object shall have. `Objectify` turns data into an object with type type. That is, data is changed, and afterwards it will not be a list or a record unless type is of type list resp. record.

  If data is a list then `Objectify` turns it into a positional object, if data is a record then `Objectify` turns it into a component object (for examples, see Component Objects and Positional Objects).

  `Objectify` does also return the object that it made out of data.

  For examples where `Objectify` is used, see Component Objects, Positional Objects, and the example in Chapter An Example -- Residue Class Rings.

  Attribute assignments will change the type of an object. If you create many objects, code of the form

      o:=Objectify(type,rec());
      SetMyAttribute(o,value);

  will take a lot of time for type changes. You can avoid this by setting the attributes immediately while the object is created, via:

- `ObjectifyWithAttributes(`obj`,`type`,`Attr1`,`val1`[,`Attr2`,`val2`...]) F`

  which changes the type of object obj to type type and sets attribute Attr1 to val1, sets attribute Attr2 to val2 and so forth.

  If the filter list of type includes that these attributes are set (and the properties also include values of the properties) and if no special setter methods are installed for any of the involved attributes then they are set simultaneously without type changes which can produce a substantial speedup.

  If the conditions of the last sentence are not fulfilled, an ordinary `Objectify` with subsequent `Setter` calls for the attributes is performed, instead.

  ## 3.9 Component Objects

  A component object is an object in the representation `IsComponentObjectRep` or a subrepresentation of it. Such an object cobj is built from subobjects that can be accessed via ``cobj`!.`name``, similar to components of a record. Also analogously to records, values can be assigned to components of cobj via ``cobj`!.`name`:=` val``. For the creation of component objects, see Creating Objects.

- `NamesOfComponents(` comobj`) F`

  For a component object comobj, `NamesOfComponents` returns a list of strings, which are the names of components currently bound in comobj.

  One must be very careful when using the `!.` operator, in order to interpret the component in the right way, and even more careful when using the assignment to components using `!.`, in order to keep the information stored in cobj consistent.

  First of all, in the access or assignment to a component as shown above, name must be among the admissible component names for the representation of cobj, see Creating Representations. Second, preferably only few low level functions should use `!.`, whereas this operator should not occur in ``user interactions''.

  Note that even if cobj claims that it is immutable, i.e., if cobj is not in the category `IsMutable`, access and assignment via `!.` work. This is necessary for being able to store newly discovered information in immutable objects.

  The following example shows the implementation of an iterator (see Iterators in the Reference Manual) for the domain of integers, which is represented as component object. See Positional Objects for an implementation using positional objects.

  The used succession of integers is 0, 1, -1, 2, -2, 3, -3, ¼, that is, an = n/2 if n is even, and an = (1-n)/2 otherwise.

      IsIntegersIteratorCompRep := NewRepresentation( "IsIntegersIteratorRep",
          IsComponentObjectRep, [ "counter" ] );

  The above command creates a new representation (see NewRepresentation) `IsIntegersIteratorCompRep`, as a subrepresentation of `IsComponentObjectRep`, and with one admissible component `counter`. So no other components than `counter` will be needed.

      InstallMethod( Iterator,
          "method for `Integers'",
          [ IsIntegers ],
          function( Integers )
          return Objectify( NewType( IteratorsFamily,
                                         IsIterator
                                     and IsIntegersIteratorCompRep ),
                            rec( counter := 0 ) );
          end );

  After the above method installation, one can already ask for `Iterator( Integers )`. Note that exactly the domain of integers is described by the filter `IsIntegers`.

  By the call to `NewType`, the returned object lies in the family containing all iterators, which is `IteratorsFamily`, it lies in the category `IsIterator` and in the representation `IsIntegersIteratorCompRep`; furthermore, it has the component `counter` with value `0`.

  What is missing now are methods for the two basic operations of iterators, namely `IsDoneIterator` and `NextIterator`. The former must always return `false`, since there are infinitely many integers. The latter must return the next integer in the iteration, and update the information stored in the iterator, that is, increase the value of the component `counter`.

      InstallMethod( IsDoneIterator,
          "method for iterator of `Integers'",
          [ IsIterator and IsIntegersIteratorCompRep ],
          ReturnFalse );

      InstallMethod( NextIterator,
          "method for iterator of `Integers'",
          [ IsIntegersIteratorCompRep ],
          function( iter )
          iter!.counter:= iter!.counter + 1;
          if iter!.counter mod 2 = 0 then
            return iter!.counter / 2;
          else
            return ( 1 - iter!.counter ) / 2;
          fi;
          end );

  ## 3.10 Positional Objects

  A positional object is an object in the representation `IsPositionalObjectRep` or a subrepresentation of it. Such an object pobj is built from subobjects that can be accessed via ``pobj`![`pos`]`, similar to positions in a list. Also analogously to lists, values can be assigned to positions of pobj via ``pobj`![`pos`]:=` val``. For the creation of positional objects, see Creating Objects.

  One must be very careful when using the `![]` operator, in order to interpret the position in the right way, and even more careful when using the assignment to positions using `![]`, in order to keep the information stored in pobj consistent.

  First of all, in the access or assignment to a position as shown above, pos must be among the admissible positions for the representation of pobj, see Creating Representations. Second, preferably only few low level functions should use `![]`, whereas this operator should not occur in ``user interactions''.

  Note that even if pobj claims that it is immutable, i.e., if pobj is not in the category `IsMutable`, access and assignment via `![]` work. This is necessary for being able to store newly discovered information in immutable objects.

  The following example shows the implementation of an iterator (see Iterators in the Reference Manual) for the domain of integers, which is represented as positional object. See Component Objects for an implementation using component objects, and more details.

      IsIntegersIteratorPosRep := NewRepresentation( "IsIntegersIteratorRep",
          IsPositionalObjectRep, [ 1 ] );

  The above command creates a new representation (see NewRepresentation) `IsIntegersIteratorPosRep`, as a subrepresentation of `IsComponentObjectRep`, and with only the first position being admissible for storing data.

      InstallMethod( Iterator,
          "method for `Integers'",
          [ IsIntegers ],
          function( Integers )
          return Objectify( NewType( IteratorsFamily,
                                         IsIterator
                                     and IsIntegersIteratorRep ),
                            [ 0 ] );
          end );

  After the above method installation, one can already ask for `Iterator( Integers )`. Note that exactly the domain of integers is described by the filter `IsIntegers`.

  By the call to `NewType`, the returned object lies in the family containing all iterators, which is `IteratorsFamily`, it lies in the category `IsIterator` and in the representation `IsIntegersIteratorPosRep`; furthermore, the first position has value `0`.

  What is missing now are methods for the two basic operations of iterators, namely `IsDoneIterator` and `NextIterator`. The former must always return `false`, since there are infinitely many integers. The latter must return the next integer in the iteration, and update the information stored in the iterator, that is, increase the value stored in the first position.

      InstallMethod( IsDoneIterator,
          "method for iterator of `Integers'",
          [ IsIterator and IsIntegersIteratorPosRep ],
          ReturnFalse );

      InstallMethod( NextIterator,
          "method for iterator of `Integers'",
          [ IsIntegersIteratorPosRep ],
          function( iter )
          iter![1]:= iter![1] + 1;
          if iter![1] mod 2 = 0 then
            return iter![1] / 2;
          else
            return ( 1 - iter![1] ) / 2;
          fi;
          end );

  It should be noted that one can of course install both the methods shown in Section Component Objects and Positional Objects. The call `Iterator( Integers )` will cause one of the methods to be selected, and for the returned iterator, which will have one of the representations we constructed, the right `NextIterator` method will be chosen.

  ## 3.11 Implementing New List Objects

  This section gives some hints for the quite usual situation that one wants to implement new objects that are lists. More precisely, one either wants to deal with lists that have additional features, or one wants that some objects also behave as lists.

  A list in GAP is an object in the category `IsList`. Basic operations for lists are `Length`, `\[\]`, and `IsBound\[\]` (see Basic Operations for Lists in the Reference Manual).

  Note that the access to the position pos in the list list via ``list`[`pos`]` is handled by the call `\[\](` list`,` pos`)` to the operation `\[\]`. To explain the somewhat strange name `\[\]` of this operation, note that non-alphanumeric characters like `[` and `]` may occur in GAP variable names only if they are escaped by a `\` character.

  Analogously, the check `IsBound(` list`[`pos`] )` whether the position pos of the list list is bound is handled by the call `IsBound\[\](` list`,` pos`)` to the operation `IsBound\[\]`.

  For mutable lists, also assignment to positions and unbinding of positions via the operations `\[\]\:\=` and `Unbind\[\]` are basic operations. The assignment ``list`[`pos`]:=` val`` is handled by the call `\[\]\:\=(` list`,` pos`,` val`)`, and `Unbind(` list`[`pos`] )` is handled by the call `Unbind\[\](` list`,` pos`)`.

  All other operations for lists, e.g., `Add`, `Append`, `Sum`, are based on these operations. This means that it is sufficient to install methods for the new list objects only for the basic operations.

  So if one wants to implement new list objects then one creates them as objects in the category `IsList`, and installs methods for `Length`, `\[\]`, and `IsBound\[\]`. If the new lists shall be mutable, one needs to install also methods for `\[\]\:\=` and `Unbind\[\]`.

  One application for this is the implementation of enumerators for domains. An enumerator for the domain D is a dense list whose entries are in bijection with the elements of D. If D is large then it is not useful to write down all elements. Instead one can implement such a bijection implicitly. This works also for infinite domains.

  In this situation, one implements a new representation of the lists that are already available in GAP, in particular the family of such a list is the same as the family of the domain D.

  But it is also possible to implement new kinds of lists that lie in new families, and thus are not equal to lists that were available in GAP before. An example for this is the implementation of matrices whose multiplication via ```*`'' is the Lie product of matrices.

  In this situation, it makes no sense to put the new matrices into the same family as the original matrices. Note that the product of two Lie matrices shall be defined but not the product of an ordinary matrix and a Lie matrix. So it is possible to have two lists that have the same entries but that are not equal w.r.t. ```=`'' because they lie in different families.

  ## 3.12 Arithmetic Issues in the Implementation of New Kinds of Lists

  When designing a new kind of list objects in GAP, defining the arithmetic behaviour of these objects is an issue.

  There are situations where arithmetic operations of list objects are unimportant in the sense that adding two such lists need not be represented in a special way. In such cases it might be useful either to support no arithmetics at all for the new lists, or to enable the default arithmetic methods. The former can be achieved by not setting the filters `IsGeneralizedRowVector` and `IsMultiplicativeGeneralizedRowVector` in the types of the lists, the latter can be achieved by setting the filter `IsListDefault`. (for details, see Filters Controlling the Arithmetic Behaviour of Lists in the GAP Reference Manual). An example for ``wrapped lists'' with default behaviour are vector space bases; they are lists with additional properties concerning the computation of coefficients, but arithmetic properties are not important. So it is no loss to enable the default methods for these lists.

  However, often the arithmetic behaviour of new list objects is important, and one wants to keep these lists away from default methods for addition, multiplication etc. For example, the sum and the product of (compatible) block matrices shall be represented as a block matrix, so the default methods for sum and product of matrices shall not be applicable, although the results will be equal to those of the default methods in the sense that their entries at corresponding positions are equal.

  So one does not set the filter `IsListDefault` in such cases, and thus one can implement one's own methods for arithmetic operations. (Of course ``can'' means on the other hand that one must implement such methods if one is interested in arithmetics of the new lists.)

  The specific binary arithmetic methods for the new lists will usually cover the case that both arguments are of the new kind, and perhaps also the interaction between a list of the new kind and certain other kinds of lists may be handled if this appears to be useful.

  For the last situation, interaction between a new kind of lists and other kinds of lists, GAP provides already a setup. Namely, there are the categories `IsGeneralizedRowVector` and `IsMultiplicativeGeneralizedRowVector`, which are concerned with the additive and the multiplicative behaviour, respectively, of lists. For lists in these filters, the structure of the results of arithmetic operations is prescribed (see Additive Arithmetic for Lists and Multiplicative Arithmetic for Lists in the GAP Reference Manual).

  For example, if one implements block matrices in `IsMultiplicativeGeneralizedRowVector` then automatically the product of such a block matrix and a (plain) list of such block matrices will be defined as the obvious list of matrix products, and a default method for plain lists will handle this multiplication. (Note that this method will rely on a method for computing the product of the block matrices, and of course no default method is available for that.) Conversely, if the block matrices are not in `IsMultiplicativeGeneralizedRowVector` then the product of a block matrix and a (plain) list of block matrices is not defined. (There is no default method for it, and one can define the result and provide a method for computing it.)

  Thus if one decides to set the filters `IsGeneralizedRowVector` and `IsMultiplicativeGeneralizedRowVector` for the new lists, on the one hand one loses freedom in defining arithmetic behaviour, but on the other hand one gains several default methods for a more or less natural behaviour.

  If a list in the filter `IsGeneralizedRowVector` (`IsMultiplicativeGeneralizedRowVector`) lies in `IsAttributeStoringRep`, the values of additive (multiplicative) nesting depth is stored in the list and need not be calculated for each arithmetic operation. One can then store the value(s) already upon creation of the lists, with the effect that the default arithmetic operations will access elements of these lists only if this is unavoidable. For example, the sum of two plain lists of ``wrapped matrices'' with stored nesting depths are computed via the method for adding two such wrapped lists, and without accessing any of their rows (which might be expensive). In this sense, the wrapped lists are treated as black boxes.

  ## 3.13 External Representation

  An operation is defined for elements rather than for objects in the sense that if the arguments are replaced by objects that are equal to the old arguments w.r.t. the equivalence relation ```=`'' then the result must be equal to the old result w.r.t. ```=`''.

  But the implementation of many methods is representation dependent in the sense that certain representation dependent subobjects are accessed.

  For example, a method that implements the addition of univariate polynomials may access coefficients lists of its arguments only if they are really stored, while in the case of sparsely represented polynomials a different approach is needed.

  In spite of this, for many operations one does not want to write an own method for each possible representations of each argument, for example because none of the methods could in fact take advantage of the actually given representations of the objects. Another reason could be that one wants to install first a representation independent method, and then add specific methods as they are needed to gain more efficiency, by really exploiting the fact that the arguments have certain representations.

  For the purpose of admitting representation independent code, one can define an external representation of objects in a given family, install methods to compute this external representation for each representation of the objects, and then use this external representation of the objects whenever they occur.

  We cannot provide conversion functions that allow us to first convert any object in question to one particular ``standard representation'', and then access the data in the way defined for this representation, simply because it may be impossible to choose such a ``standard representation'' uniformly for all objects in the given family.

  So the aim of an external representation of an object obj is a different one, namely to describe the data from which obj is composed. In particular, the external representation of obj is not one possible (``standard'') representation of obj, in fact the external representation of obj is in general different from obj w.r.t. ```=`'', first of all because the external representation of obj does in general not lie in the same family as obj.

  For example the external representation of a rational function is a list of length two or three, the first entry being the zero coefficient, the second being a list describing the coefficients and monomials of the numerator, and the third, if bound, being a list describing the coefficients and monomials of the denominator. In particular, the external representation of a polynomial is a list and not a polynomial.

  The other way round, the external representation of obj encodes obj in such a way that from this data and the family of obj, one can create an object that is equal to obj. Usually the external representation of an object is a list or a record.

  Although the external representation of obj is by definition independent of the actually available representations for obj, it is usual that a representation of obj exists for which the computation of the external representation is obtained by just ``unpacking'' obj, in the sense that the desired data is stored in a component or a position of obj, if obj is a component object (see Component Objects) or a positional object (see Positional Objects).

  To implement an external representation means to install methods for the following two operations.

- `ExtRepOfObj(` obj`)`
- `ObjByExtRep(` fam`,` data`)`

  `ExtRepOfObj` returns the external representation of its argument, and `ObjByExtRep` returns an object in the family fam that has external representation data.

  Of course, `ObjByExtRep( FamilyObj(` obj`), ExtRepOfObj(` obj`) )` must be equal to obj. But it is not required that equal objects have equal external representations.

  Note that if one defines a new representation of objects for which an external representation does already exist then one must install a method to compute this external representation for the objects in the new representation.

  ## 3.14 Mutability and Copying

  Any GAP Object is either mutable or immutable. This can be tested with the Operation `IsMutable`. The intended meaning of (im)mutability is a mathematical one: an immutable Object should never change in such a way that it represents a different Element. Objects may change in other ways, for instance to store more information, or represent an element in a different way.

  Immutability is enforced in different ways for built-in objects (like records, or lists) and for external objects (made using `Objectify`).

  For built-in objects which are immutable, the kernel will prevent you from changing them. Thus

      gap> l := [1,2,4];
      [ 1, 2, 4 ]
      gap> MakeImmutable(l);
      gap> l[3] := 5;
      Lists Assignment: <list> must be a mutable list
      not in any function
      Entering break read-eval-print loop ...
      you can 'quit;' to quit to outer loop, or
      you can 'return;' and ignore the assignment to continue
      brk>

  For external Objects, the situation is different. An external Object which claims to be immutable (i.e. its Type does not contain `IsMutable`) should not admit any Methods which change the Element it represents. The kernel does not prevent the use of `!.` and `![` to change the underlying data structure. This is used for instance by the code that stores Attribute values for reuse. In general, these `!` operations should only be used in Methods which depend on the Representation of the Object. Furthermore, we would not recommend users to install Methods which depend on the Representations of Objects created by the library or by GAP packages, as there is certainly no guarantee of the representations being the same in future versions of GAP.

  Here we see an immutable Object (the group S4), in which we improperly install a new component.

      gap> g := SymmetricGroup(IsPermGroup,4);
      Sym( [ 1 .. 4 ] )
      gap> IsMutable(g);
      false
      gap> NamesOfComponents(g);
      [ "GeneratorsOfMagmaWithInverses", "Size", "MovedPoints", "NrMovedPoints" ]
      gap> g!.silly := "rubbish";
      "rubbish"
      gap> NamesOfComponents(g);
      [ "GeneratorsOfMagmaWithInverses", "Size", "MovedPoints", "NrMovedPoints",
        "silly" ]
      gap> g!.silly;
      "rubbish"

  On the other hand, if we form an immutable externally represented list, we find that there is no Method for changing it using list assignment

      gap> e := Enumerator(g);
      <enumerator of perm group>
      gap> IsMutable(e);
      false
      gap> IsList(e);
      true
      gap> e[3];
      (1,4)(2,3)
      gap> e[3] := false;
      Error, no method found! For debugging hints type ?Recovery from NoMethodFound
      Error, no 1st choice method found for `ASS_LIST' on 3 arguments called from
      ... lines omitted here ...

  When we consider copying Objects, another filter `IsCopyable`, enters the game and we find that `ShallowCopy` and `StructuralCopy` behave quite differently. Objects can be divided for this purpose into three: mutable Objects, immutable but copyable Objects, and non-copyable objects (called constants).

  A mutable or copyable Object should have a Method for the Operation `ShallowCopy`, which should make a new mutable Object, sharing its top-level subobjects with the original. The exact definition of top-level subobject may be defined by the implementor for new kinds of Object.

  `ShallowCopy` applied to a constant simply returns the constant.

  `StructuralCopy` is expected to be much less used than `ShallowCopy`. Applied to a mutable object, it returns a new mutable object which shares no mutable sub-objects with the input. Applied to an immutable Object (even a copyable one), it just returns the object. It is not an Operation (indeed, it's a rather special kernel function).

      gap> e1 := StructuralCopy(e);
      <enumerator of perm group>
      gap> IsMutable(e1);
      false
      gap> e2 := ShallowCopy(e);
      [ (), (1,2)(3,4), (1,4)(2,3), (1,3)(2,4), (2,3,4), (1,2,4), (1,4,3), (1,3,2),
        (2,4,3), (1,2,3), (1,4,2), (1,3,4), (3,4), (1,2), (1,4,2,3), (1,3,2,4),
        (2,3), (1,2,4,3), (1,4), (1,3,4,2), (2,4), (1,2,3,4), (1,4,3,2), (1,3) ]
      gap>

  There are two other related functions: `Immutable`, which makes a new immutable object which shares no mutable subobjects with its input and `MakeImmutable` which changes an object and its mutable subobjects in place to be immutable. It should only be used on ``new'' Objects that you have just created, and which cannot share mutable subobjects with anything else.

  Both `Immutable` and `MakeImmutable` work on external objects by just resetting the `IsMutable` filter in the Object's type. This should make ineligible any methods that might change the Object. As a consequence, you must allow for the possibility of immutable versions of any objects you create.

  So, if you are implementing your own external Objects. The rules amount to the following:

  1. You decide if your Objects should be mutable or copyable or constants, by fixing whether their Type includes `IsMutable` or `IsCopyable`.

  2. You install Methods for your objects respecting that decision:

     - for constants -- no methods change the underlying elements;

     - for copyables -- you provide a method for `ShallowCopy`;

     - for mutables -- you may have methods that change the underlying elements and these should explicitly require `IsMutable`.

  ## 3.15 Global Variables in the Library

  Global variables in the GAP library are usually read-only in order to avoid their being overwritten accidentally.

- `BindGlobal(` name`,` val`) F`

  sets the global variable named by the string name to the value val, and makes it read-only. An error is given if the global variable corresponding to name already had a value bound.

- `DeclareAttribute(` name`,` filt`[, "mutable"][,` rank`] ) F`
- `DeclareCategory(` name`,` super`) F`
- `DeclareFilter(` name`,` rank`) F`
- `DeclareProperty(` name`,` filt`[,` rank`] ) F`
- `DeclareRepresentation(` name`,` super`,` slots`) F`

  The different types of filters (see Sections Creating Categories, Creating Representations, Creating Attributes and Properties, Creating Other Filters) that are used in the GAP library are assigned by the above `Declare` Something`` functions which make the variable with name name (a string) automatically read-only. The only other difference between `New` Something`` and `Declare` Something`` is that `DeclareAttribute` and `DeclareProperty` also bind read-only global variables with names `Has` name`` and `Set` name`` for the tester and setter of the attribute (see Section Setter and Tester for Attributes in the Reference Manual). For the meaning of the other arguments of `Declare` Something``, see NewAttribute, NewCategory, NewFilter, NewProperty, and NewRepresentation.

- `DeclareOperation(` name`,` args-filts`) F`
- `DeclareGlobalFunction(` name`) F`

  declare operations and other global functions used in the GAP library, respectively, are assigned to the read-only variable with name name (a string). For the meaning of the other arguments of `DeclareOperation`, see NewOperation.

  GAP functions that are not operations and that are intended to be called by users should be notified to GAP in the declaration part of the respective package (see Section Declaration and Implementation Part) via `DeclareGlobalFunction`, which returns a function that serves as a place holder for the function that will be installed later, and that will print an error message if it is called. See also DeclareSynonym.

- `InstallGlobalFunction(` gvar`,` func`) F`

  A global function declared with `DeclareGlobalFunction` can be given its value func via `InstallGlobalFunction`; gvar is the global variable (not a string) named with the name argument of the call to `DeclareGlobalFunction`. For example, a declaration like

      DeclareGlobalFunction( "SumOfTwoCubes" );

  in the ``declaration part'' (see Section Declaration and Implementation Part) might have a corresponding ``implementation part'' of:

      InstallGlobalFunction( SumOfTwoCubes, function(x, y) return x^3 + y^3; end);

  Note: func must be a function which has not been declared as a `GlobalFunction` itself. Otherwise completion files (see Completion Files in the reference manual) get confused!

- `DeclareGlobalVariable(` name`[,` description`] ) F`

  For global variables that are not functions, instead of using `BindGlobal` one can also declare the variable with `DeclareGlobalVariable` which creates a new global variable named by the string name. If the second argument description is entered then this must be a string that describes the meaning of the global variable. `DeclareGlobalVariable` shall be used in the declaration part of the respective package (see Declaration and Implementation Part), values can then be assigned to the new variable with `InstallValue` or `InstallFlushableValue`, in the implementation part (again, see Declaration and Implementation Part).

- `InstallValue(` gvar`,` value`) F`
- `InstallFlushableValue(` gvar`,` value`) F`

  `InstallValue` assigns the value value to the global variable gvar. `InstallFlushableValue` does the same but additionally provides that each call of `FlushCaches` (see FlushCaches) will assign a structural copy of value to gvar.

  `InstallValue` does not work if value is an ``immediate object'' (i.e., an internally represented small integer or finite field element). Furthermore, `InstallFlushableValue` works only if value is a list. (Note that `InstallFlushableValue` makes sense only for mutable global variables.)

- `DeclareSynonym(` name`,` value`) F`

  assigns the string name to a global variable as a synonym for value. Two typical intended usages are to declare an ``and-filter'', e.g.

      DeclareSynonym( "IsGroup", IsMagmaWithInverses and IsAssociative );

  and (mainly for compatibility reasons) to provide a previously declared global function with an alternative name, e.g.

      DeclareGlobalFunction( "SizeOfSomething" );
      DeclareSynonym( "OrderOfSomething", SizeOfSomething );

  Note: Before using `DeclareSynonym` in the way of this second example, one should determine whether the synonym is really needed. Perhaps an extra index entry in the documentation would be sufficient.

  When declaring a synonym that is to be an attribute `DeclareSynonymAttr` should be used.

- `DeclareSynonymAttr(` name`,` value`) F`

  assigns the string name to an attribute global variable as a synonym for value. Two typical intended usages are to provide a previously declared attribute or property with an alternative name, e.g.

      DeclareAttribute( "GeneratorsOfDivisionRing", IsDivisionRing );
      DeclareSynonymAttr( "GeneratorsOfField", GeneratorsOfDivisionRing );

  and to declare an attribute that is an ``and-filter'', e.g.

      DeclareSynonymAttr( "IsField", IsDivisionRing and IsCommutative );

  Also see DeclareSynonym. (The comments made there also pertain to `DeclareSynonymAttr`.)

- `FlushCaches() O`

  `FlushCaches` resets the value of each global variable that has been declared with `DeclareGlobalVariable` and for which the initial value has been set with `InstallFlushableValue` to this initial value.

  `FlushCaches` should be used only for debugging purposes, since the involved global variables include for example lists that store finite fields and cyclotomic fields used in the current GAP session, in order to avoid that these fields are constructed anew in each call to `GF` and `CF` (see GaloisField and CyclotomicField in the Reference Manual).

  ## 3.16 Declaration and Implementation Part

  Each package of GAP code consists of two parts, the declaration part that defines the new categories and operations for the objects the package deals with, and the implementation part where the corresponding methods are installed. The declaration part should be representation independent, representation dependent information should be dealt with in the implementation part.

  GAP functions that are not operations and that are intended to be called by users should be notified to GAP in the declaration part via `DeclareGlobalFunction`. Values for these functions can be installed in the implementation part via `InstallGlobalFunction`.

  Calls to the following functions belong to the declaration part.

  `DeclareAttribute`, `DeclareCategory`, `DeclareFilter`, `DeclareOperation`, `DeclareGlobalFunction`, `DeclareSynonym`, `DeclareSynonymAttr`, `DeclareProperty`, `InstallTrueMethod`.

  See DeclareAttribute, DeclareCategory, DeclareFilter, DeclareOperation, DeclareGlobalFunction, DeclareSynonym, DeclareSynonymAttr, DeclareProperty, InstallTrueMethod.

  Calls to the following functions belong to the implementation part.

  `DeclareRepresentation`, `InstallGlobalFunction`, `InstallMethod`, `InstallImmediateMethod`, `InstallOtherMethod`, `NewFamily`, `NewType`, `Objectify`.

  See DeclareRepresentation, InstallGlobalFunction, InstallMethod, InstallImmediateMethod, InstallOtherMethod, NewFamily, NewType, Objectify.

  Whenever both a `New` Something`` and a `Declare` Something`` variant of a function exist (see Global Variables in the Library), the use of `Declare` Something`` is recommended because this protects the variables in question from being overwritten. Note that there are no functions `DeclareFamily` and `DeclareType` since families and types are created dynamically, hence usually no global variables are associated to them. Further note that `DeclareRepresentation` is regarded as belonging to the implementation part, because usually representations of objects are accessed only in very few places, and all code that involves a particular representation is contained in one file; additionally, representations of objects are often not interesting for the user, so there is no need to provide a user interface or documentation about representations.

  It should be emphasized that ``declaration'' means only an explicit notification of mathematical or technical terms or of concepts to GAP. For example, declaring a category or property with name `IsInteresting` does of course not tell GAP what this shall mean, and it is necessary to implement possibilities to create objects that know already that they lie in `IsInteresting` in the case that it is a category, or to install implications or methods in order to compute for a given object whether `IsInteresting` is `true` or `false` for it in the case that `IsInteresting` is a property.

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  GAP 4 manual
  May 2002