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13 Types of Objects

Every **GAP** object has a *type*. The type of an object is the information which is used to decide whether an operation is admissible or possible with that object as an argument, and if so, how it is to be performed (see Chapter 78).

For example, the types determine whether two objects can be multiplied and what function is called to compute the product. Analogously, the type of an object determines whether and how the size of the object can be computed. It is sometimes useful in discussing the type system, to identify types with the set of objects that have this type. Partial types can then also be regarded as sets, such that any type is the intersection of its parts.

The type of an object consists of two main parts, which describe different aspects of the object.

The *family* determines the relation of the object to other objects. For example, all permutations form a family. Another family consists of all collections of permutations, this family contains the set of permutation groups as a subset. A third family consists of all rational functions with coefficients in a certain family.

The other part of a type is a collection of *filters* (actually stored as a bit-list indicating, from the complete set of possible filters, which are included in this particular type). These filters are all treated equally by the method selection, but, from the viewpoint of their creation and use, they can be divided (with a small number of unimportant exceptions) into categories, representations, attribute testers and properties. Each of these is described in more detail below.

This chapter does not describe how types and their constituent parts can be created. Information about this topic can be found in Chapter 79.

*Note:* Detailed understanding of the type system is not required to use **GAP**. It can be helpful, however, to understand how things work and why **GAP** behaves the way it does.

A discussion of the type system can be found in [BL98].

The family of an object determines its relationship to other objects.

More precisely, the families form a partition of all **GAP** objects such that the following two conditions hold: objects that are equal w.r.t. `=`

lie in the same family; and the family of the result of an operation depends only on the families of its operands.

The first condition means that a family can be regarded as a set of elements instead of a set of objects. Note that this does not hold for categories and representations (see below), two objects that are equal w.r.t. `=`

need not lie in the same categories and representations. For example, a sparsely represented matrix can be equal to a densely represented matrix. Similarly, each domain is equal w.r.t. `=`

to the sorted list of its elements, but a domain is not a list, and a list is not a domain.

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 78, and also Chapter 13), one has to prescribe such a relation in each method installation (see 78.3); usual relations are `ReturnTrue`

(5.4-1) (which means that any relation of the actual arguments is admissible), `IsIdenticalObj`

(12.5-1) (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 12.4, and that a collection consists of elements in the same family, see Chapter 30 and Section 13.1.)

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`

, ..., `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`

(30.2-1)). This means that for a collection, we need not (because we cannot) decide about its family.

A few functions in **GAP** return families, see `CollectionsFamily`

(30.2-1) and `ElementsFamily`

(30.2-3).

`‣ FamilyObj` ( obj ) | ( function ) |

returns the family of the object `obj`.

The family of the object `obj` is itself an object, its family is `FamilyOfFamilies`

.

It should be emphasized that families may be created when they are needed. For example, the family of elements of a finitely presented group is created only after the presentation has been constructed. Thus families are the dynamic part of the type system, that is, the part that is not fixed after the initialisation of **GAP**.

Families can be parametrized. For example, the elements of each finitely presented group form a family of their own. Here the family of elements and the finitely presented group coincide when viewed as sets. Note that elements in different finitely presented groups lie in different families. This distinction allows **GAP** to forbid multiplications of elements in different finitely presented groups.

As a special case, families can be parametrized by other families. An important example is the family of *collections* that can be formed for each family. A collection consists of objects that lie in the same family, it is either a nonempty dense list of objects from the same family or a domain.

Note that every domain is a collection, that is, it is not possible to construct domains whose elements lie in different families. For example, a polynomial ring over the rationals cannot contain the integer `0`

because the family that contains the integers does not contain polynomials. So one has to distinguish the integer zero from each zero polynomial.

Let us look at this example from a different viewpoint. A polynomial ring and its coefficients ring lie in different families, hence the coefficients ring cannot be embedded "naturally" into the polynomial ring in the sense that it is a subset. But it is possible to allow, e.g., the multiplication of an integer and a polynomial over the integers. The relation between the arguments, namely that one is a coefficient and the other a polynomial, can be detected from the relation of their families. Moreover, this analysis is easier than in a situation where the rationals would lie in one family together with all polynomials over the rationals, because then the relation of families would not distinguish the multiplication of two polynomials, the multiplication of two coefficients, and the multiplication of a coefficient with a polynomial. So the wish to describe relations between elements can be taken as a motivation for the introduction of families.

`‣ NewFamily` ( name[, req[, imp[, famfilter]]] ) | ( function ) |

`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 79.2). This means that components can be used to store and access useful information about the family.

A *filter* is a special unary **GAP** function that returns either `true`

or `false`

, depending on whether or not the argument lies in the set defined by the filter. Filters are used to express different aspects of information about a **GAP** object, which are described below (see 13.3, 13.4, 13.5, 13.6, 13.7, 13.8).

Presently any filter in **GAP** is implemented as a function which corresponds to a set of positions in the bitlist which forms part of the type of each **GAP** object, and returns `true`

if and only if the bitlist of the type of the argument has the value `true`

at all of these positions.

The intersection (or meet) of two filters `filt1`, `filt2` is again a filter, it can be formed as

`filt1` `and`

`filt2`

See 20.4 for more details.

For example, `IsList and IsEmpty`

is a filter that returns `true`

if its argument is an empty list, and `false`

otherwise. The filter `IsGroup`

(39.2-7) is defined as the intersection of the category `IsMagmaWithInverses`

(35.1-4) and the property `IsAssociative`

(35.4-7).

A filter that is not the meet of other filters is called a *simple filter*. For example, each attribute tester (see 13.6) is a simple filter. Each simple filter corresponds to a position in the bitlist currently used as part of the data structure representing a type.

Every filter has a *rank*, which is used to define a ranking of the methods installed for an operation, see Section 78.3. The rank of a filter can be accessed with `RankFilter`

(13.2-1).

`‣ RankFilter` ( filt ) | ( function ) |

For simple filters, an *incremental rank* is defined when the filter is created, see the sections about the creation of filters: `NewCategory`

(13.3-4), `NewRepresentation`

(13.4-4), `NewAttribute`

(13.5-3), `NewProperty`

(13.7-4), `NewFilter`

(13.8-1). For an arbitrary filter, its rank is given by the sum of the incremental ranks of the *involved* simple filters; in addition to the implied filters, these are also the required filters of attributes (again see the sections about the creation of filters). In other words, for the purpose of computing the rank and *only* for this purpose, attribute testers are treated as if they would imply the requirements of their attributes.

`‣ NamesFilter` ( filt ) | ( function ) |

`NamesFilter`

returns a list of names of the *implied* simple filters of the filter `filt`, these are all those simple filters `imp`

such that every object in `filt` also lies in `imp`

. For implications between filters, see `ShowImpliedFilters`

(13.2-4) as well as sections 78.8, `NewCategory`

(13.3-4), `NewRepresentation`

(13.4-4), `NewAttribute`

(13.5-3), `NewProperty`

(13.7-4).

`‣ FilterByName` ( name ) | ( function ) |

finds the filter with name `name` in the global FILTERS list. This is useful to find filters that were created but not bound to a global variable.

`‣ ShowImpliedFilters` ( filter ) | ( function ) |

Displays information about the filters that may be implied by `filter`. They are given by their names. `ShowImpliedFilters`

first displays the names of all filters that are unconditionally implied by `filter`. It then displays implications that require further filters to be present (indicating by `+`

the required further filters).

gap> ShowImpliedFilters(IsNilpotentGroup); Implies: IsListOrCollection IsCollection IsDuplicateFree IsExtLElement CategoryCollections(IsExtLElement) IsExtRElement CategoryCollections(IsExtRElement) CategoryCollections(IsMultiplicativeElement) CategoryCollections(IsMultiplicativeElementWithOne) CategoryCollections(IsMultiplicativeElementWithInverse) IsGeneralizedDomain IsMagma IsMagmaWithOne IsMagmaWithInversesIfNonzero IsMagmaWithInverses IsAssociative HasMultiplicativeNeutralElement IsGeneratorsOfSemigroup IsSimpleSemigroup IsRegularSemigroup IsInverseSemigroup IsCompletelyRegularSemigroup IsGroupAsSemigroup IsMonoidAsSemigroup IsOrthodoxSemigroup IsSupersolvableGroup IsSolvableGroup IsNilpotentByFinite May imply with: +IsFinitelyGeneratedGroup IsPolycyclicGroup

`‣ FiltersType` ( type ) | ( operation ) |

`‣ FiltersObj` ( object ) | ( operation ) |

returns a list of the filters in the type `type`, or in the type of the object `object` respectively.

gap> FiltersObj(fail); [ <Category "IsBool">, <Representation "IsInternalRep"> ] gap> FiltersType(TypeOfTypes); [ <Representation "IsPositionalObjectRep">, <Category "IsType">, <Representation "IsTypeDefaultRep"> ]

The *categories* of an object are filters (see 13.2) that determine what operations an object admits. For example, all integers form a category, all rationals form a category, and all rational functions form a category. An object which claims to lie in a certain category is accepting the requirement that it should have methods for certain operations (and perhaps that their behaviour should satisfy certain axioms). For example, an object lying in the category `IsList`

(21.1-1) must have methods for `Length`

(21.17-5), `IsBound\[\]`

(21.2-1) and the list element access operation `\[\]`

(21.2-1).

An object can lie in several categories. For example, a row vector lies in the categories `IsList`

(21.1-1) and `IsVector`

(31.14-14); each list lies in the category `IsCopyable`

(12.6-1), and depending on whether or not it is mutable, it may lie in the category `IsMutable`

(12.6-2). Every domain lies in the category `IsDomain`

(31.9-1).

Of course some categories of a mutable object may change when the object is changed. For example, after assigning values to positions of a mutable non-dense list, this list may become part of the category `IsDenseList`

(21.1-2).

However, if an object is immutable then the set of categories it lies in is fixed.

All categories in the library are created during initialization, in particular they are not created dynamically at runtime.

The following list gives an overview of important categories of arithmetic objects. Indented categories are to be understood as subcategories of the non indented category listed above it.

IsObject IsExtLElement IsExtRElement IsMultiplicativeElement IsMultiplicativeElementWithOne IsMultiplicativeElementWithInverse IsExtAElement IsAdditiveElement IsAdditiveElementWithZero IsAdditiveElementWithInverse

Every object lies in the category `IsObject`

(12.1-1).

The categories `IsExtLElement`

(31.14-8) and `IsExtRElement`

(31.14-9) contain objects that can be multiplied with other objects via `*`

from the left and from the right, respectively. These categories are required for the operands of the operation `*`

.

The category `IsMultiplicativeElement`

(31.14-10) contains objects that can be multiplied from the left and from the right with objects from the same family. `IsMultiplicativeElementWithOne`

(31.14-11) contains objects `obj`

for which a multiplicatively neutral element can be obtained by taking the 0-th power `obj^0`

. `IsMultiplicativeElementWithInverse`

(31.14-13) contains objects `obj`

for which a multiplicative inverse can be obtained by forming `obj^-1`

.

Likewise, the categories `IsExtAElement`

(31.14-1), `IsAdditiveElement`

(31.14-3), `IsAdditiveElementWithZero`

(31.14-5) and `IsAdditiveElementWithInverse`

(31.14-7) contain objects that can be added via `+`

to other objects, objects that can be added to objects of the same family, objects for which an additively neutral element can be obtained by multiplication with zero, and objects for which an additive inverse can be obtained by multiplication with `-1`

.

So a vector lies in `IsExtLElement`

(31.14-8), `IsExtRElement`

(31.14-9) and `IsAdditiveElementWithInverse`

(31.14-7). A ring element must additionally lie in `IsMultiplicativeElement`

(31.14-10).

As stated above it is not guaranteed by the categories of objects whether the result of an operation with these objects as arguments is defined. For example, the category `IsMatrix`

(24.2-1) is a subcategory of `IsMultiplicativeElementWithInverse`

(31.14-13). Clearly not every matrix has a multiplicative inverse. But the category `IsMatrix`

(24.2-1) makes each matrix an admissible argument of the operation `Inverse`

(31.10-8), which may sometimes return `fail`

. Likewise, two matrices can be multiplied only if they are of appropriate shapes.

Analogous to the categories of arithmetic elements, there are categories of domains of these elements.

IsObject IsDomain IsMagma IsMagmaWithOne IsMagmaWithInversesIfNonzero IsMagmaWithInverses IsAdditiveMagma IsAdditiveMagmaWithZero IsAdditiveMagmaWithInverses IsExtLSet IsExtRSet

Of course `IsDomain`

(31.9-1) is a subcategory of `IsObject`

(12.1-1). A domain that is closed under multiplication `*`

is called a magma and it lies in the category `IsMagma`

(35.1-1). If a magma is closed under taking the identity, it lies in `IsMagmaWithOne`

(35.1-2), and if it is also closed under taking inverses, it lies in `IsMagmaWithInverses`

(35.1-4). The category `IsMagmaWithInversesIfNonzero`

(35.1-3) denotes closure under taking inverses only for nonzero elements, every division ring lies in this category.

Note that every set of categories constitutes its own notion of generation, for example a group may be generated as a magma with inverses by some elements, but to generate it as a magma with one it may be necessary to take the union of these generators and their inverses.

`‣ IsCategory` ( object ) | ( function ) |

returns `true`

if `object` is a category (see 13.3), and `false`

otherwise.

Note that **GAP** categories are *not* categories in the usual mathematical sense.

`‣ CategoriesOfObject` ( object ) | ( operation ) |

returns a list of the names of the categories in which `object` lies.

gap> g:=Group((1,2),(1,2,3));; gap> CategoriesOfObject(g); [ "IsListOrCollection", "IsCollection", "IsExtLElement", "CategoryCollections(IsExtLElement)", "IsExtRElement", "CategoryCollections(IsExtRElement)", "CategoryCollections(IsMultiplicativeElement)", "CategoryCollections(IsMultiplicativeElementWithOne)", "CategoryCollections(IsMultiplicativeElementWithInverse)", "CategoryCollections(IsAssociativeElement)", "CategoryCollections(IsFiniteOrderElement)", "IsGeneralizedDomain", "CategoryCollections(IsPerm)", "IsMagma", "IsMagmaWithOne", "IsMagmaWithInversesIfNonzero", "IsMagmaWithInverses" ]

`‣ CategoryByName` ( name ) | ( function ) |

returns the category with name `name` if it is found, or fail otherwise.

`‣ NewCategory` ( name, super[, rank] ) | ( function ) |

`NewCategory`

returns a new category `cat` that has the name `name` and is contained in the filter `super`, see 13.2. 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`

(31.14-13) or a subcategory of it. If no specific supercategory of `cat` is known, `super` may be `IsObject`

(12.1-1).

The optional third argument `rank` denotes the incremental rank (see 13.2) of `cat`, the default value is 1.

`‣ DeclareCategory` ( name, super[, rank] ) | ( function ) |

does the same as `NewCategory`

(13.3-4) and additionally makes the variable `name` read-only.

`‣ CategoryFamily` ( cat ) | ( function ) |

For a category `cat`, `CategoryFamily`

returns the *family category* of `cat`. This is a category in which all families lie that know from their creation that all their elements are in the category `cat`, see 13.1.

For example, a family of associative words is in the category `CategoryFamily( IsAssocWord )`

, 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 associative words.

`CategoryFamily`

is quite technical, and in fact of minor importance.

See also `CategoryCollections`

(30.2-4).

The *representation* of an object is a set of filters (see 13.2) that determines how an object is actually represented. For example, a matrix or a polynomial can be stored sparsely or densely; all dense polynomials form a representation. An object which claims to lie in a certain representation is accepting the requirement that certain fields in the data structure be present and have specified meanings.

`‣ IsInternalRep` ( obj ) | ( representation ) |

`‣ IsDataObjectRep` ( obj ) | ( representation ) |

`‣ IsPositionalObjectRep` ( obj ) | ( representation ) |

`‣ IsComponentObjectRep` ( obj ) | ( representation ) |

**GAP** distinguishes four essentially different ways to represent objects. First there are the representations `IsInternalRep`

for internal objects such as integers and permutations, and `IsDataObjectRep`

for other objects that are created and whose data are accessible only by kernel functions. The data structures underlying such objects cannot be manipulated at the **GAP** level.

All other objects are either in the representation `IsComponentObjectRep`

or in the representation `IsPositionalObjectRep`

, see 79.2 and 79.3.

An object can belong to several representations in the sense that it lies in several subrepresentations of `IsComponentObjectRep`

or of `IsPositionalObjectRep`

. The representations to which an object belongs should form a chain and either two representations are disjoint or one is contained in the other. So the subrepresentations of `IsComponentObjectRep`

and `IsPositionalObjectRep`

each form trees. In the language of Object Oriented Programming, we support only single inheritance for representations.

These trees are typically rather shallow, since for one representation to be contained in another implies that all the components of the data structure implied by the containing representation, are present in, and have the same meaning in, the smaller representation (whose data structure presumably contains some additional components).

Objects may change their representation, for example a mutable list of characters can be converted into a string.

All representations in the library are created during initialization, in particular they are not created dynamically at runtime.

Examples of subrepresentations of `IsPositionalObjectRep`

are `IsModulusRep`

, which is used for residue classes in the ring of integers, and `IsDenseCoeffVectorRep`

, which is used for elements of algebras that are defined by structure constants.

An important subrepresentation of `IsComponentObjectRep`

is `IsAttributeStoringRep`

(13.5-5), which is used for many domains and some other objects. It provides automatic storing of all attribute values (see Section 13.5).

`‣ IsRepresentation` ( object ) | ( function ) |

returns `true`

if `object` is a representation (see 13.4), and `false`

otherwise.

`‣ RepresentationsOfObject` ( object ) | ( operation ) |

returns a list of the names of the representations `object` has.

gap> g:=Group((1,2),(1,2,3));; gap> RepresentationsOfObject(g); [ "IsComponentObjectRep", "IsAttributeStoringRep" ]

`‣ NewRepresentation` ( name, super, slots[, req] ) | ( function ) |

`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`

(13.4-1), `IsDataObjectRep`

(13.4-1), `IsComponentObjectRep`

(13.4-1), `IsPositionalObjectRep`

(13.4-1). 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 79.2 and 79.3 for the details.

The third argument `slots` is a list either of integers or of strings. In the former case, `rep` must be `IsPositionalObjectRep`

(13.4-1) 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`

(13.4-1) 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 13.2) 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 79.2, 79.3, and also in 81.3.

`‣ DeclareRepresentation` ( name, super, slots[, req] ) | ( function ) |

does the same as `NewRepresentation`

(13.4-4) and additionally makes the variable `name` read-only.

The attributes of an object describe knowledge about it.

An attribute is a unary operation without side-effects.

An object may store values of its attributes once they have been computed, and claim that it knows these values. Note that "store" and "know" have to be understood in the sense that it is very cheap to get such a value when the attribute is called again.

The stored value of an attribute is in general immutable (see 12.6), except if the attribute had been specially constructed as "mutable attribute".

It depends on the representation of an object (see 13.4) which attribute values it stores. An immutable object in the representation `IsAttributeStoringRep`

(13.5-5) stores *all* attribute values once they are computed.

Note that it is impossible to get rid of a stored attribute value because the system may have drawn conclusions from the old attribute value, and just removing the value might leave the data structures in an inconsistent state. If necessary, a new object can be constructed.

Each method that is installed for an attribute via `InstallMethod`

(78.3-1) must require exactly one argument, and this must lie in the filter `filter` that was entered as second argument of `NewAttribute`

(13.5-3) resp. `NewProperty`

(13.7-4).

As for any operation, for attributes one can install a method taking an argument that does not lie in `filt` via `InstallOtherMethod`

(78.3-2), or a method for more than one argument. For example, `IsTransitive`

(41.10-1) is an attribute for a G-set that can also be called for the two arguments, being a group G and its action domain. If attributes are called with more than one argument then the return value is not stored in any of the arguments.

Properties are a special form of attributes that have the value `true`

or `false`

, see section 13.7.

Examples of attributes for multiplicative elements are `Inverse`

(31.10-8), `One`

(31.10-2), and `Order`

(31.10-10). `Size`

(30.4-6) is an attribute for domains, `Centre`

(35.4-5) is an attribute for magmas, and `DerivedSubgroup`

(39.12-3) is an attribute for groups.

`‣ IsAttribute` ( object ) | ( function ) |

returns `true`

if `object` is an attribute (see 13.5), and `false`

otherwise.

`‣ KnownAttributesOfObject` ( object ) | ( operation ) |

returns a list of the names of the attributes whose values are known for `object`.

gap> g:=Group((1,2),(1,2,3));;Size(g);; gap> KnownAttributesOfObject(g); [ "Size", "OneImmutable", "NrMovedPoints", "MovedPoints", "GeneratorsOfMagmaWithInverses", "MultiplicativeNeutralElement", "HomePcgs", "Pcgs", "StabChainMutable", "StabChainOptions" ]

`‣ NewAttribute` ( name, filter[, "mutable"][, rank] ) | ( function ) |

`NewAttribute`

returns a new attribute getter with name `name` that is applicable to objects with the property `filter`.

Contrary to the situation with categories and representations, the tester of the new attribute does *not* imply `filter`. This is exactly because of the possibility to install methods that do not require `filter`.

For example, the attribute `Size`

(30.4-6) was created with second argument a list or a collection, but there is also a method for `Size`

(30.4-6) that is applicable to a character table, which is neither a list nor a collection.

For the optional third and fourth arguments, there are the following possibilities.

The integer argument

`rank`causes the attribute tester to have this incremental rank (see 13.2),If the argument

`mutable`is the string`"mutable"`

or the boolean`true`

, then the values of the attribute are mutable.If the argument

`mutable`is the boolean`false`

, then the values of the attribute are immutable.

When a value of such mutable attribute is set then this value itself is stored, not an immutable copy of it, and it is the user's responsibility to set an object that is mutable. 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`

(39.13-1), and this list is mutable because one may want to enter groups into it as they are computed.

If no argument for `rank` is given, then the rank of the tester is 1.

Each method for the new attribute that does *not* require its argument to lie in `filter` must be installed using `InstallOtherMethod`

(78.3-2).

`‣ DeclareAttribute` ( name, filter[, "mutable"][, rank] ) | ( function ) |

does the same as `NewAttribute`

(13.5-3), additionally makes the variable `name` read-only and also binds read-only global variables with names `Has`

and `name``Set`

for the tester and setter of the attribute (see Section 13.6).`name`

`‣ IsAttributeStoringRep` ( obj ) | ( representation ) |

Objects in this representation have default methods to get stored values of attributes and –if they are immutable– to store attribute values automatically once they have been computed. (These methods are called the "system getter" and the "system setter" of the attribute, respectively.)

As a consequence, for immutable objects in `IsAttributeStoringRep`

, subsequent calls to an attribute will return the *same* object.

*Mutable* objects in `IsAttributeStoringRep`

are allowed, but attribute values are not stored automatically in them. Such objects are useful because they may later be made immutable using `MakeImmutable`

(12.6-4), at which point they will start storing all attribute values.

Note that one can force an attribute value to be stored in a mutable object in `IsAttributeStoringRep`

, by explicitly calling the attribute setter. This feature should be used with care. For example, think of a mutable matrix whose rank or trace gets stored, and the values later become wrong when somebody changes the matrix entries.

gap> g:= Group( (1,2)(3,4), (1,3)(2,4) );; gap> IsAttributeStoringRep( g ); true gap> HasSize( g ); Size( g ); HasSize( g ); false 4 true gap> r:= 7/4;; gap> IsAttributeStoringRep( r ); false gap> Int( r ); HasInt( r ); 1 false

For every attribute, the *attribute setter* and the *attribute tester* are defined.

To check whether an object belongs to an attribute `attr`, the tester of the attribute is used, see `Tester`

(13.6-1). To store a value for the attribute `attr` in an object, the setter of the attribute is used, see `Setter`

(13.6-2).

`‣ Tester` ( attr ) | ( function ) |

For an attribute `attr`, `Tester(`

is a filter (see 13.2) that returns `attr`)`true`

or `false`

, depending on whether or not the value of `attr` for the object is known. For example, `Tester( Size )( `

is `obj` )`true`

if the size of the object `obj` is known.

`‣ Setter` ( attr ) | ( function ) |

For an attribute `attr`, `Setter(`

is called automatically when the attribute value has been computed for an immutable object which does not already have a value stored for `attr`)`attr`. One can also call the setter explicitly, for example, `Setter( Size )( `

sets `obj`, `val` )`val` as size of the object `obj` if the size was not yet known.

For each attribute `attr` that is declared with `DeclareAttribute`

(13.5-4) resp. `DeclareProperty`

(13.7-5), tester and setter are automatically made accessible by the names `Has`

and `attr``Set`

, respectively. For example, the tester for `attr``Size`

(30.4-6) is called `HasSize`

, and the setter is called `SetSize`

.

gap> g:=Group((1,2,3,4),(1,2));;Size(g); 24 gap> HasSize(g); true gap> SetSize(g,99); gap> Size(g); 24

For two properties `prop1` and `prop2`, the intersection

(see 13.2) is again a property for which a setter and a tester exist. Setting the value of this intersection to `prop1` and `prop2``true`

for a **GAP** object means to set the values of `prop1` and `prop2` to `true`

for this object.

gap> prop:= IsFinite and IsCommutative; <Property "(IsFinite and IsCommutative)"> gap> g:= Group( (1,2,3), (4,5) );; gap> Tester( prop )( g ); false gap> Setter( prop )( g, true ); gap> Tester( prop )( g ); prop( g ); true true

It is *not allowed* to set the value of such an intersection to `false`

for an object.

gap> Setter( prop )( Rationals, false ); You cannot set an "and-filter" except to true not in any function Entering break read-eval-print loop ... you can 'quit;' to quit to outer loop, or you can type 'return true;' to set all components true (but you might really want to reset just one component) to continue brk>

`‣ AttributeValueNotSet` ( attr, obj ) | ( function ) |

If the value of the attribute `attr` is already stored for `obj`, `AttributeValueNotSet`

simply returns this value. Otherwise the value of

is computed and returned `attr`( `obj` )*without storing it* in `obj`. This can be useful when "large" attribute values (such as element lists) are needed only once and shall not be stored in the object.

gap> HasAsSSortedList(g); false gap> AttributeValueNotSet(AsSSortedList,g); [ (), (4,5), (1,2,3), (1,2,3)(4,5), (1,3,2), (1,3,2)(4,5) ] gap> HasAsSSortedList(g); false

The normal behaviour of attributes (when called with just one argument) is that once a method has been selected and executed, and has returned a value the setter of the attribute is called, to (possibly) store the computed value. In special circumstances, this behaviour can be altered dynamically on an attribute-by-attribute basis, using the functions `DisableAttributeValueStoring`

(13.6-5) and `EnableAttributeValueStoring`

(13.6-6).

In general, the code in the library assumes, for efficiency, but not for correctness, that attribute values *will* be stored (in suitable objects), so disabling storing may cause substantial computations to be repeated.

`‣ InfoAttributes` | ( info class ) |

This info class (together with `InfoWarning`

(7.4-8) is used for messages about attribute storing being disabled (at level 2) or enabled (level 3). It may be used in the future for other messages concerning changes to attribute behaviour.

`‣ DisableAttributeValueStoring` ( attr ) | ( function ) |

disables the usual call of `Setter( `

when a method for `attr` )`attr` returns a value. In consequence the values will never be stored. Note that `attr` must be an attribute and *not* a property.

`‣ EnableAttributeValueStoring` ( attr ) | ( function ) |

enables the usual call of `Setter( `

when a method for `attr` )`attr` returns a value. In consequence the values may be stored. This will usually have no effect unless `DisableAttributeValueStoring`

(13.6-5) has previously been used for `attr`. Note that `attr` must be an attribute and *not* a property.

gap> g := Group((1,2,3,4,5),(1,2,3)); Group([ (1,2,3,4,5), (1,2,3) ]) gap> KnownAttributesOfObject(g); [ "LargestMovedPoint", "GeneratorsOfMagmaWithInverses", "MultiplicativeNeutralElement" ] gap> SetInfoLevel(InfoAttributes,3); gap> DisableAttributeValueStoring(Size); #I Disabling value storing for Size gap> Size(g); 60 gap> KnownAttributesOfObject(g); [ "OneImmutable", "LargestMovedPoint", "NrMovedPoints", "MovedPoints", "GeneratorsOfMagmaWithInverses", "MultiplicativeNeutralElement", "StabChainMutable", "StabChainOptions" ] gap> Size(g); 60 gap> EnableAttributeValueStoring(Size); #I Enabling value storing for Size gap> Size(g); 60 gap> KnownAttributesOfObject(g); [ "Size", "OneImmutable", "LargestMovedPoint", "NrMovedPoints", "MovedPoints", "GeneratorsOfMagmaWithInverses", "MultiplicativeNeutralElement", "StabChainMutable", "StabChainOptions" ]

The properties of an object are those of its attributes (see 13.5) whose values can only be `true`

or `false`

.

The main difference between attributes and properties is that a property defines two sets of objects, namely the usual set of all objects for which the value is known, and the set of all objects for which the value is known to be `true`

.

(Note that it makes no sense to consider a third set, namely the set of objects for which the value of a property is `true`

whether or not it is known, since there may be objects for which the containment in this set cannot be decided.)

For a property `prop`, the containment of an object `obj` in the first set is checked again by applying `Tester( `

to `prop` )`obj`, and `obj` lies in the second set if and only if `Tester( `

is `prop` )( `obj` ) and `prop`( `obj` )`true`

.

If a property value is known for an immutable object then this value is also stored, as part of the type of the object. To some extent, property values of mutable objects also can be stored, for example a mutable list all of whose entries are immutable can store whether it is strictly sorted. When the object is mutated (for example by list assignment) the type may need to be adjusted.

Important properties for domains are `IsAssociative`

(35.4-7), `IsCommutative`

(35.4-9), `IsAnticommutative`

(56.4-6), `IsLDistributive`

(56.4-3) and `IsRDistributive`

(56.4-4), which mean that the multiplication of elements in the domain satisfies ( a * b ) * c = a * ( b * c ), a * b = b * a, a * b = - ( b * a ), a * ( b + c ) = a * b + a * c, and ( a + b ) * c = a * c + b * c, respectively, for all a, b, c in the domain.

`‣ IsProperty` ( object ) | ( function ) |

returns `true`

if `object` is a property (see 13.7), and `false`

otherwise.

`‣ KnownPropertiesOfObject` ( object ) | ( operation ) |

returns a list of the names of the properties whose values are known for `object`.

`‣ KnownTruePropertiesOfObject` ( object ) | ( operation ) |

returns a list of the names of the properties known to be `true`

for `object`.

gap> g:=Group((1,2),(1,2,3));; gap> KnownPropertiesOfObject(g); [ "IsEmpty", "IsTrivial", "IsNonTrivial", "IsFinite", "CanEasilyCompareElements", "CanEasilySortElements", "IsDuplicateFree", "IsGeneratorsOfMagmaWithInverses", "IsAssociative", "IsGeneratorsOfSemigroup", "IsSimpleSemigroup", "IsRegularSemigroup", "IsInverseSemigroup", "IsCompletelyRegularSemigroup", "IsCompletelySimpleSemigroup", "IsGroupAsSemigroup", "IsMonoidAsSemigroup", "IsOrthodoxSemigroup", "IsFinitelyGeneratedGroup", "IsSubsetLocallyFiniteGroup", "KnowsHowToDecompose", "IsInfiniteAbelianizationGroup", "IsNilpotentByFinite", "IsTorsionFree", "IsFreeAbelian" ] gap> Size(g); 6 gap> KnownPropertiesOfObject(g); [ "IsEmpty", "IsTrivial", "IsNonTrivial", "IsFinite", "CanEasilyCompareElements", "CanEasilySortElements", "IsDuplicateFree", "IsGeneratorsOfMagmaWithInverses", "IsAssociative", "IsGeneratorsOfSemigroup", "IsSimpleSemigroup", "IsRegularSemigroup", "IsInverseSemigroup", "IsCompletelyRegularSemigroup", "IsCompletelySimpleSemigroup", "IsGroupAsSemigroup", "IsMonoidAsSemigroup", "IsOrthodoxSemigroup", "IsFinitelyGeneratedGroup", "IsSubsetLocallyFiniteGroup", "KnowsHowToDecompose", "IsPerfectGroup", "IsSolvableGroup", "IsPolycyclicGroup", "IsInfiniteAbelianizationGroup", "IsNilpotentByFinite", "IsTorsionFree", "IsFreeAbelian" ] gap> KnownTruePropertiesOfObject(g); [ "IsNonTrivial", "IsFinite", "CanEasilyCompareElements", "CanEasilySortElements", "IsDuplicateFree", "IsGeneratorsOfMagmaWithInverses", "IsAssociative", "IsGeneratorsOfSemigroup", "IsSimpleSemigroup", "IsRegularSemigroup", "IsInverseSemigroup", "IsCompletelyRegularSemigroup", "IsCompletelySimpleSemigroup", "IsGroupAsSemigroup", "IsMonoidAsSemigroup", "IsOrthodoxSemigroup", "IsFinitelyGeneratedGroup", "IsSubsetLocallyFiniteGroup", "KnowsHowToDecompose", "IsSolvableGroup", "IsPolycyclicGroup", "IsNilpotentByFinite" ]

`‣ NewProperty` ( name, filter[, rank] ) | ( function ) |

`NewProperty`

returns a new property `prop` with name `name` (see also 13.7). The filter `filter` describes the involved filters of `prop`. As in the case of attributes, `filter` is not implied by `prop`.

The optional third argument `rank` denotes the incremental rank (see 13.2) of the property `prop` itself, i.e. *not* of its tester; the default value is 1.

`‣ DeclareProperty` ( name, filter[, rank] ) | ( function ) |

does the same as `NewProperty`

(13.7-4), additionally makes the variable `name` read-only and also binds read-only global variables with names `Has`

and `name``Set`

for the tester and setter of the property (see Section 13.6).`name`

There are situations where one wants to express a kind of knowledge that is based on some heuristic.

For example, the filters (see 13.2) `CanEasilyTestMembership`

(39.26-1) and `CanEasilyComputePcgs`

(45.2-3) are defined in the **GAP** library. Note that such filters do not correspond to a mathematical concept, contrary to properties (see 13.7). Also it need not be defined what "easily" means for an arbitrary **GAP** object, and in this case one cannot compute the value for an arbitrary **GAP** object. In order to access this kind of knowledge as a part of the type of an object, **GAP** provides filters for which the value is `false`

by default, and it is changed to `true`

in certain situations, either explicitly (for the given object) or via a logical implication (see 78.8) from other filters.

For example, a `true`

value of `CanEasilyComputePcgs`

(45.2-3) for a group means that certain methods are applicable that use a pcgs (see 45.1) for the group. There are logical implications to set the filter value to `true`

for permutation groups that are known to be solvable, and for groups that have already a (sufficiently nice) pcgs stored. In the case one has a solvable matrix group and wants to enable methods that use a pcgs, one can set the `CanEasilyComputePcgs`

(45.2-3) value to `true`

for this particular group.

A filter `filt` of the kind described here is different from the other filters introduced in the previous sections. In particular, `filt` is not a category (see 13.3) or a property (see 13.7) because its value may change for a given object, and `filt` is not a representation (see 13.4) because it has nothing to do with the way an object is made up from some data. `filt` is similar to an attribute tester (see 13.6), the only difference is that `filt` does not refer to an attribute value; note that `filt` is also used in the same way as an attribute tester; namely, the `true`

value may be required for certain methods to be applicable.

In order to change the value of `filt` for an object `obj`, one can use logical implications (see 78.8) or `SetFilterObj`

(13.8-3), `ResetFilterObj`

(13.8-4).

`‣ NewFilter` ( name[, rank] ) | ( function ) |

`NewFilter`

returns a simple filter with name `name` (see 13.8). The optional second argument `rank` denotes the incremental rank (see 13.2) of the filter, the default value is 1.

The default value of the new simple filter for each object is `false`

.

`‣ DeclareFilter` ( name[, rank] ) | ( function ) |

does the same as `NewFilter`

(13.8-1) and additionally makes the variable `name` read-only.

`‣ SetFilterObj` ( obj, filter ) | ( function ) |

`SetFilterObj`

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

.

This may trigger immediate methods.

`‣ ResetFilterObj` ( obj, filter ) | ( function ) |

`ResetFilterObj`

sets the value of `filter` for `obj` to `false`

. (Implied filters of `filt` are not touched. This might create inconsistent situations if applied carelessly).

We stated above (see 13) that, for an object `obj`, its *type* is formed from its family and its filters. There is a also a third component, used in a few situations, namely defining data of the type.

`‣ TypeObj` ( obj ) | ( function ) |

returns the type of the object `obj`.

The type of an object is itself an object.

Two types are equal if and only if the two families are identical, the filters are equal, and, if present, also the defining data of the types are equal.

`‣ DataType` ( type ) | ( function ) |

The last part of the type, defining data, has not been mentioned before and seems to be of minor importance. It can be used, e.g., for cosets U g of a group U, where the type of each coset may contain the group U as defining data. As a consequence, two such cosets mod U and V can have the same type only if U = V. The defining data of the type `type` can be accessed via `DataType`

.

`‣ NewType` ( family, filter[, data] ) | ( function ) |

`NewType`

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

For examples where `NewType`

is used, see 79.2, 79.3, and the example in Chapter 81.

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