8. RECORD PACKAGE The advantages of "data abstraction" have long been known: more readable code, fewer bugs, the ability to change the data structure without having to make major modifications to the program, etc. The record package encourages and facilitates this good programming practice by providing a uniform syntax for creating, accessing and storing data into many different types of data structures (arrays, list structures, association lists, etc.) as well as removing from the user the task of writing the various manipulation routines. The user declares (once) the data structures used by his programs, and thereafter indicates the manipulations of the data in a data-structure-independent manner. Using the declarations, the record package automatically computes the corresponding Interlisp expressions necessary to accomplish the indicated access/storage operations. If the data structure is changed by modifying the declarations, the programs automatically adjust to the new conventions. The user describes the format of a data structure (record) by making a "record declaration" (see page X.XX). The record declaration is a description of the record, associating names with its various parts, or "fields". For example, the record declaration (RECORD MSG (FROM TO . TEXT)) describes a data structure called MSG, which contains three fields: FROM, TO, and TEXT. The user can reference these fields by name, to retrieve their values or to store new values into them, by using the FETCH and REPLACE operators (page X.XX). The CREATE operator (page X.XX) is used for creating new instances of a record, and TYPE? (page X.XX) is used for testing whether an object is an instance of a particular record. (note: all record operators can be in either upper or lower case.) Records may be implemented in a variety of different ways, as determined by the first element ("record type") of the record declaration. RECORD (used to specify elements and tails of a list structure) is just one of several record types currently implemented. The user can specify a property list format by using the record type PROPRECORD, or that fields are to be associated with parts of a data structure via a specified hash array by using the record type HASHLINK, or that an entirely new data type be allocated (as described on page X.XX) by using the record-type DATATYPE. The record package is implemented through the DWIM/CLISP facilities, so it contains features such as spelling correction on field names, record types, etc. Record operations are translated using all CLISP declarations in effect (standard/fast/undoable); it is also possible to declare local record declarations that override global ones (see page X.XX). The file package includes a RECORDS file package command for dumping record declarations (page X.XX), and FILES? and CLEANUP will inform the user about records that need to be dumped. 8.1 FETCH and REPLACE The fields of a record are accessed and changed with the FETCH and REPLACE operators. If the record MSG has the record declaration (RECORD MSG (FROM TO . TEXT)), and X is a MSG data structure, (fetch FROM of X) will return the value of the FROM field of X, and (replace FROM of X with Y) will replace this field with the value of Y. In general, the value of a REPLACE operation is the same as the value stored into the field. Note that the form (fetch FROM of X) implicitly states that X is an instance of the record MSG, or at least it should to be treated as such for this particular operation. In other words, the interpretation of (fetch FROM of X) never depends on the value of X. Therefore, if X is not a MSG record, this may produce incorrect results. The TYPE? record operation (page X.XX) may be used to test the types of objects. If there is another record declaration, (RECORD REPLY (TEXT . RESPONSE)), then (fetch TEXT of X) is ambiguous, because X could be either a MSG or a REPLY record. In this case, an error will occur, AMBIGUOUS RECORD FIELD. To clarify this, FETCH and REPLACE can take a list for their "field" argument: (fetch (MSG TEXT) of X) will fetch the TEXT field of an MSG record. Note that if a field has an identical interpretation in two declarations, e.g. if the field TEXT occurred in the same location within the declarations of MSG and REPLY, then (fetch TEXT of X) would not be considered ambiguous. An exception to this rule is that "user" record declarations take precedence over "system" record declarations, in cases where an unqualified field name would be considered ambiguous. System records are declared by including (SYSTEM) in the record declaration (see page X.XX). All of the records defined in the standard Interlisp-D system are defined as system records. Another complication can occur if the fields of a record are themselves records. The fields of a record can be further broken down into sub-fields by a "subdeclaration" within the record declaration (see page X.XX). For example, (RECORD NODE (POSITION . LABEL) (RECORD POSITION (XLOC . YLOC))) permits the user to access the POSITION field with (fetch POSITION of X), or its subfield XLOC with (fetch XLOC of X). The user may also elaborate a field by declaring that field name in a separate record declaration (as opposed to an embedded subdeclaration). For instance, the TEXT field in the MSG and REPLY records above may be subdivided with the seperate record declaration (RECORD TEXT (HEADER . TXT)). Fields of subfields (to any level of nested subfields) are accessed by specifying the "data path" as a list of record/field names, where there is some path from each record to the next in the list. For instance, (fetch (MSG TEXT HEADER) of X) indicates that X is to be treated as a MSG record, its TEXT field should be accessed, and its HEADER field should be accessed. Only as much of the data path as is necessary to disambiguate it needs to be specified. In this case, (fetch (MSG HEADER) of X) is sufficient. The record package interprets a data path by performing a tree search among all current record declarations for a path from each name to the next, considering first local declarations (page X.XX) and then global ones. The central point of separate declarations is that the (sub)record is not tied to another record (as with embedded declarations), and therefore can be used in many different contexts. If a data-path rather than a single field is ambiguous, (e.g., if there were yet another declaration (RECORD TO (NAME . HEADER)) and the user specified (fetch (MSG HEADER) of X)), the error AMBIGUOUS DATA PATH is generated. FETCH and REPLACE forms are translated using the CLISP declarations in effect (see page X.XX). FFETCH and FREPLACE are versions which insure fast CLISP declarations will be in effect, /REPLACE insures undoable declarations. 8.2 CREATE Record operations can be applied to arbitrary structures, i.e., the user can explicitely creating a data structure (using CONS, etc), and then manipulate it with FETCH and REPLACE. However, to be consistant with the idea of data abstraction, new data should be created using the same declarations that define its data paths. This can be done with an expression of the form: (create RECORD-NAME . ASSIGNMENTS) A CREATE expression translates into an appropriate Interlisp form using CONS, LIST, PUTHASH, ARRAY, etc., that creates the new datum with the various fields initialized to the appropriate values. ASSIGNMENTS is optional and may contain expressions of the following form: FIELD-NAME ← FORM Specifies initial value for FIELD-NAME. USING FORM Specifies that for all fields not explicitly given a value, the value of the corresponding field in FORM is to be used. COPYING FORM Similar to USING except the corresponding values are copied (with COPYALL). REUSING FORM Similar to USING, except that wherever possible, the corresponding structure in FORM is used. SMASHING FORM A new instance of the record is not created at all; rather, the value of FORM is used and smashed. The record package goes to great pains to insure that the order of evaluation in the translation is the same as that given in the original CREATE expression if the side effects of one expression might affect the evaluation of another. For example, given the declaration (RECORD CONS (CAR . CDR)), the expression (create CONS CDR←X CAR←Y) will translate to (CONS Y X), but (create CONS CDR←(FOO) CAR←(FIE)) will translate to ((LAMBDA ($$1) (CONS (PROGN (SETQ $$1 (FOO)) (FIE)) $$1))) because FOO might set some variables used by FIE. Note that (create RECORD REUSING FORM ...) does not itself do any destructive operations on the value of FORM. The distinction between USING and REUSING is that (create RECORD reusing FORM ...) will incorporate as much as possible of the old data structure into the new one being created, while (create RECORD using FORM ...) will create a completely new data structure, with only the contents of the fields re-used. For example, REUSING a PROPRECORD just CONSes the new property names and values onto the list, while USING copies the top level of the list. Another example of this distinction occurs when a field is elaborated by a subdeclaration (page X.XX): USING will create a new instance of the sub-record, while REUSING will use the old contents of the field (unless some field of the subdeclaration is assigned in the CREATE expression.) If the value of a field is neither explicitly specified, nor implicitly specified via USING, COPYING or REUSING, the default value in the declaration is used, if any, otherwise NIL. (Note: For BETWEEN fields in DATATYPE records, N1 is used; for other non-pointer fields zero is used.) For example, following (RECORD A (B C D) D ← 3), (create A B←T) ==> (LIST T NIL 3) (create A B←T using X) ==> (LIST T (CADR X) (CADDR X)) (create A B←T copying X)) ==> [LIST T (COPYALL (CADR X)) (COPYALL (CADDR X] (create A B←T reusing X) ==> (CONS T (CDR X)) 8.3 TYPE? The record package allows the user to test if a given datum "looks like" an instance of a record. This can be done via an expression of the form (type? RECORD-NAME FORM) TYPE? is mainly intended for records with a record type of DATATYPE or TYPERECORD. For DATATYPEs, the TYPE? check is exact; i.e. the TYPE? expression will return non-NIL only if the value of FORM is an instance of the record named by RECORD-NAME. For TYPERECORDs, the TYPE? expression will check that the value of FORM is a list beginning with RECORD-NAME. For ARRAYRECORDs, it checks that the value is an array of the correct size. For PROPRECORDs and ASSOCRECORDs, a TYPE? expression will make sure that the value of FORM is a property/association list with property names among the field-names of the declaration. Attempting to execute a TYPE? expression for a record of type ACCESSFNS, HASHLINK or RECORD will cause an error, TYPE? NOT IMPLEMENTED FOR THIS RECORD. The user can (re)define the interpretation of TYPE? expressions for a particular declaration by inclusion of an expression of the form (TYPE? COM) in the record declaration (see page X.XX). 8.4 WITH Often it is necessary to manipulate the values of the fields of a particular record. The WITH construct can be used to talk about the fields of a record as if they were variables within a lexical scope: (with RECORD-NAME RECORD-INSTANCE FORM1 ... FORMN) RECORD-NAME is the name of a record, and RECORD-INSTANCE is an expression which evaluates to an instance of that record. The expressions FORM1 ... FORMN are evaluated so that references to variables which are field-names of RECORD-NAME are implemented via FETCH and SETQs of those variables are implemented via REPLACE. For example, given (RECORD RECN (FLD1 FLD2)) (SETQ INST (create RECN FLD1 ← 10 FLD2 ← 20)) Then the construct (with RECN INST (SETQ FLD2 (PLUS FLD1 FLD2] is equivalent to (replace FLD2 of INST with (PLUS (fetch FLD1 of INST) (fetch FLD2 of INST] Warning: WITH is implemented by doing simple substitutions in the body of the forms, without regard for how the record fields are used. This means, for example, if the record FOO is defined by (RECORD FOO (POINTER1 POINTER2)), then the form (with FOO X (SELECTQ Y (POINTER1 POINTER1) NIL] will be translated as (SELECTQ Y ((CAR X) (CAR X)) NIL] The user should be careful that record field names are not used except as variables in the WITH forms. 8.5 Record Declarations A record is defined by evaluating a record declaration, which is an expression of the form: (RECORD-TYPE RECORD-NAME RECORD-FIELDS . RECORD-TAIL) RECORD-TYPE specifies the "type" of data being described by the record declaration, and thereby implicitly specifies how the corresponding access/storage operations are performed. The different record types are described below. RECORD-NAME is a litatom used to identify the record declaration for creating instances of the record via CREATE, testing via TYPE?, and dumping to files via the RECORDS file package command (page X.XX). DATATYPE and TYPERECORD declarations also use RECORD-NAME to identify the data structure (as described below). RECORD-FIELDS describes the structure of the record. Its exact interpretation varies with RECORD-TYPE. For most record types it defines the names of the fields within the record that can be accessed with FETCH and REPLACE. RECORD-TAIL is an optional list that can be used to specify default values for record fields, special CREATE and TYPE? forms, and subdeclarations (described below). Normally, record declaration forms are typed in to the top-level executive or read from a file, and they define the structure of the record globally. Local record declarations within the context of a function are defined by including a record declaration form in the CLISP declaration for the function, rather than evaluating the expression itself (see page X.XX). Note: Although record declarations are evaluatable forms, and thus can be included in functions, changing a record declaration dynamically (at run-time) is not recommended. When a FETCH or REPLACE operation is interpreted, and the record declaration has changed, the form has to be re-translated. If a function containing FETCH or REPLACE operations has been compiled, it may be necessary to re-compile. For applications which need to change record declarations dynamically, users should consider using more flexible data structures, such as association lists or property lists. 8.5.1 Record Types Records can be used to describe a large variety of data objects, that are manipulated in different ways. The RECORD-TYPE field of the record declaration specifies how the data object is created, and how the various record fields are accessed. Depending on the record type, the record fields may be stored in a list, or in an array, or on the property list of a litatom. The following record types are defined: RECORD [Record Type] The RECORD record type is used to describe list structures. RECORD-FIELDS is interpreted as a list structure whose non-NIL literal atoms are taken as field-names to be associated with the corresponding elements and tails of a list structure. For example, with the record declaration (RECORD MSG (FROM TO . TEXT)), (fetch FROM of X) translates as (CAR X). NIL can be used as a place marker to fill an unnamed field, e.g., (A NIL B) describes a three element list, with B corresponding to the third element. A number may be used to indicate a sequence of NILs, e.g. (A 4 B) is interpreted as (A NIL NIL NIL NIL B). TYPERECORD [Record Type] The TYPERECORD record type is similar to RECORD, except that the record name is added to the front of the list structure to signify what "type" of record it is. This type field is used by the record package in the translation of TYPE? expressions. CREATE will insert an extra field containing RECORD-NAME at the beginning of the structure, and the translation of the access and storage functions will take this extra field into account. For example, for (TYPERECORD MSG (FROM TO . TEXT)), (fetch FROM of X) translates as (CADR X), not (CAR X). ASSOCRECORD [Record Type] The ASSOCRECORD record type is used to describe list structures where the fields are stored in association list format: ((FIELDNAME1 . VALUE1) (FIELDNAME2 . VALUE2) ...) RECORD-FIELDS is a list of literal atoms, interpreted as the permissable list of field names in the association list. Accessing is performed with ASSOC (or FASSOC, depending on current CLISP declarations, see page X.XX), storing with PUTASSOC. PROPRECORD [Record Type] The PROPRECORD record type is used to describe list structures where the fields are stored in property list format: (FIELDNAME1 VALUE1 FIELDNAME2 VALUE2 ...) RECORD-FIELDS is a list of literal atoms, interpreted as the permissable list of field names in the property list. Accessing is performed with LISTGET, storing with LISTPUT. Both ASSOCRECORD and PROPRECORD are useful for defining data structures in which it is often the case that many of the fields are NIL. A CREATE expression for these record types only stores those fields which are non-NIL. Note, however, that with the record declaration (PROPRECORD FIE (H I J)) the expression (create FIE) would still construct (H NIL), since a later operation of (replace J of X with Y) could not possibly change the instance of the record if it were NIL. ARRAYRECORD [Record Type] The ARRAYRECORD record type is used to describe arrays. RECORD-FIELDS is interpreted as a list of field names that are associated with the corresponding elements of an array. NIL can be used as a place marker for an unnamed field (element). Positive integers can be used as abbreviation for the corresponding number of NILs. For example, (ARRAYRECORD (ORG DEST NIL ID 3 TEXT)) describes an eight element array, with ORG corresponding to the first element, ID to the fourth, and TEXT to the eighth. Note that ARRAYRECORD only creates arrays of pointers. Other kinds of arrays must be implemented by the user with the ACCESSFNS record type (page X.XX). HASHLINK [Record Type] The HASHLINK record type can be used with any type of data object: it specifies that the value of a single field can be accessed by hashing the data object in a given hash array. Since the HASHLINK record type describes an accessing method, rather than a data structure, the CREATE expression is meaningless for HASHLINK records. RECORD-FIELDS is either an atom FIELD-NAME, or a list (FIELD-NAME HARRAYNAME HARRAYSIZE). HARRAYNAME is a variable whose value is the hash array to be used; if not given, SYSHASHARRAY is used. If the value of the variable HARRAYNAME is not a hash array (at the time of the record declaration), it will be set to a new hash array with a size of HARRAYSIZE. HARRAYSIZE defaults to 100. The HASHLINK record type is useful as a subdeclaration to other records to add additional fields to already existing data structures (see page X.XX). For example, suppose that FOO is a record declared with (RECORD FOO (A B C)). To add an aditional field BAR, without modifying the already existing data strutures, redeclare FOO with: (RECORD FOO (A B C) (HASHLINK FOO (BAR BARHARRAY))) Now, (fetch BAR of X) will translate into (GETHASH X BARHARRAY), hashing off the existing list X. ATOMRECORD [Record Type] The ATOMRECORD record type is used to describe property lists of litatoms. RECORD-FIELDS is a list of property names. Accessing is performed with GETPROP, storing with PUTPROP. The CREATE expression is not initially defined for ATOMRECORD records. DATATYPE [Record Type] The DATATYPE record type is used to define a new user data type with type name RECORD-NAME (by calling DECLAREDATATYPE, page X.XX). Unlike other record types, the records of a DATATYPE declaration are represented with a completely new Interlisp type, and not in terms of other existing types. RECORD-FIELDS is interpreted as a list of field specifications, where each specification is either a list (FIELDNAME FIELDTYPE), or an atom FIELDNAME. If FIELDTYPE is omitted, it defaults to POINTER. Possible values for FIELDTYPE are: POINTER Field contains a pointer to any arbitrary Interlisp object. INTEGER FIXP Field contains a full word signed integer (the size is implementation-dependent). FLOATING FLOATP Field contains a full word floating point number. SIGNEDWORD Field contains a 16-bit signed integer. FLAG Field is a one bit field that "contains" T or NIL. BITS N Field contains an N-bit unsigned integer. BYTE Equivalent to BITS 8. WORD Equivalent to BITS 16. XPOINTER Field contains a pointer like POINTER, except that the field is not reference counted by the Interlisp-D garbage collector. XPOINTER fields are useful for implementing back-pointers in structures that would be circular and not otherwise collected by the reference-counting garbage collector. Warning: XPOINTER fields should be used with great care. It is possible to damage the integrity of the storage allocation system by using pointers to objects that have been garbage collected. Code that uses XPOINTER fields should be sure that the objects pointed to have not been garbage collected. For example, the declaration (DATATYPE FOO ((FLG BITS 12) TEXT HEAD (DATE BITS 18) (PRIO FLOATP) (READ? FLAG))) would define a data type FOO with two pointer fields, a full word floating point number, and fields for a 12 and 18 bit unsigned integers, and a flag (one bit). Fields are allocated in such a way as to optimize the storage used and not necessarily in the order specified. Generally, a DATATYPE record is much more storage compact than the corresponding RECORD structure would be; in addition, access is faster. Since the user data type must be set up at run-time, the RECORDS file package command will dump a DECLAREDATATYPE expression as well as the DATATYPE declaration itself. The INITRECORDS file package command (page X.XX) will dump only the DECLAREDATATYPE expression. Note: When defining a new data type, it is sometimes useful to call the function DEFPRINT (page X.XX) to specify how instances of the new data type should be printed. This can be specified in the record declaration by including an INIT record specification (page X.XX), e.g. (DATATYPE QV.TYPE ... (INIT (DEFPRINT 'QV.TYPE (FUNCTION PRINT.QV.TYPE)))). Note: DATATYPE declarations should be used with caution within local record declarations (page X.XX), since a new and different data type is allocated for each one with a different name. ACCESSFNS [Record Type] The ACCESSFNS record type is used to define data structures with user-defined access functions. For each field name, the user specifies how it is to be accessed and set. This allows the use of the record package with arbitrary data structures, with complex access methods. RECORD-FIELDS is interpreted as a list of elements of the form (FIELD-NAME ACCESSDEF SETDEF). ACCESSDEF should be a function of one argument, the datum, and will be used for accessing the value of the field. SETDEF should be a function of two arguments, the datum and the new value, and will be used for storing a new value in a field. SETDEF may be omitted, in which case, no storing operations are allowed. ACCESSDEF and/or SETDEF may also be a form written in terms of variables DATUM and (in SETDEF) NEWVALUE. For example, given the declaration [ACCESSFNS FOO ((FIRSTCHAR (NTHCHAR DATUM 1) (RPLSTRING DATUM 1 NEWVALUE)) (RESTCHARS (SUBSTRING DATUM 2] (replace (FOO FIRSTCHAR) of X with Y) would translate to (RPLSTRING X 1 Y). Since no SETDEF is given for the RESTCHARS field, attempting to perform (replace (FOO RESTCHARS) of X with Y) would generate an error, REPLACE UNDEFINED FOR FIELD. Note that ACCESSFNS do not have a CREATE definition. However, the user may supply one in the defaults or subdeclarations of the declaration, as described below. Attempting to CREATE an ACCESSFNS record without specifying a create definition will cause an error CREATE NOT DEFINED FOR THIS RECORD. ACCESSDEF and SETDEF can also be a property list which specify FAST, STANDARD and UNDOABLE versions of the ACCESSFNS forms, e.g. [ACCESSFNS LITATOM ((DEF (STANDARD GETD FAST FGETD) (STANDARD PUTD UNDOABLE /PUTD] means if FAST declaration is in effect, use FGETD for fetching, if UNDOABLE, use /PUTD for saving (see CLISP declarations, page X.XX). Note: SETDEF forms should be written so that they return the new value, to be consistant with REPLACE operations for other record types. The REPLACE record operator does not enforce this, though. The ACCESSFNS facility allows the use of data structures not specified by one of the built-in record types. For example, one possible representation of a data structure is to store the fields in parallel arrays, especially if the number of instances required is known, and they do not need to be garbage collected. Thus, to implement a data structure called LINK with two fields FROM and TO, one would have two arrays FROMARRAY and TOARRAY. The representation of an "instance" of the record would be an integer which is used to index into the arrays. This can be accomplished with the declaration: [ACCESSFNS LINK ((FROM (ELT FROMARRAY DATUM) (SETA FROMARRAY DATUM NEWVALUE)) (TO (ELT TOARRAY DATUM) (SETA TOARRAY DATUM NEWVALUE))) (CREATE (PROG1 (SETQ LINKCNT (ADD1 LINKCNT)) (SETA FROMARRAY LINKCNT FROM) (SETA TOARRAY LINKCNT TO))) (INIT (PROGN (SETQ FROMARRAY (ARRAY 100)) (SETQ TOARRAY (ARRAY 100)) (SETQ LINKCNT 0)] To create a new LINK, a counter is incremented and the new elements stored. (Note: The CREATE form given the declaration probably should include a test for overflow.) 8.5.2 Optional Record Specifications After the RECORD-FIELDS item in a record declaration expression there can be an arbitrary number of additional expressions in RECORD-TAIL. These expressions can be used to specify default values for record fields, special CREATE and TYPE? forms, and subdeclarations. The following expressions are permitted: FIELD-NAME ← FORM Allows the user to specify within the record declaration the default value to be stored in FIELD-NAME by a CREATE (if no value is given within the CREATE expression itself). Note that FORM is evaluated at CREATE time, not when the declaration is made. (CREATE FORM) Defines the manner in which CREATE of this record should be performed. This provides a way of specifying how ACCESSFNS should be created or overriding the usual definition of CREATE. If FORM contains the field-names of the declaration as variables, the forms given in the CREATE operation will be substituted in. If the word DATUM appears in the create form, the original CREATE definition is inserted. This effectively allows the user to "advise" the create. Note: (CREATE FORM) may also be specified as "RECORD-NAME ← FORM". (INIT FORM) Specifies that FORM should be evaluated when the record is declared. FORM will also be dumped by the INITRECORDS file package command (page X.XX). For example, see the example of an ACCESSFNS record declaration above. In this example, FROMARRAY and TOARRAY are initialized with an INIT form. (TYPE? FORM) Defines the manner in which TYPE? expressions are to be translated. FORM may either be an expression in terms of DATUM or a function of one argument. Note: (TYPE? FORM) may also be specified by the form "RECORD-NAME @ FORM". (SUBRECORD NAME . DEFAULTS) NAME must be a field that appears in the current declaration and the name of another record. This says that, for the purposes of translating CREATE expressions, substitute the top-level declaration of NAME for the SUBRECORD form, adding on any defaults specified. For example: Given (RECORD B (E F G)), (RECORD A (B C D) (SUBRECORD B)) would be treated like (RECORD A (B C D) (RECORD B (E F G))) for the purposes of translating CREATE expressions. a subdeclaration If a record declaration expression occurs among the record specifications of another record declaration, it is known as a "subdeclaration." Subdeclarations are used to declare that fields of a record are to be interpreted as another type of record, or that the record data object is to be interpreted in more than one way. The RECORD-NAME of a subdeclaration must be either the RECORD-NAME of its immediately superior declaration or one of the superior's field-names. Instead of identifying the declaration as with top level declarations, the record-name of a subdeclaration identifies the parent field or record that is being described by the subdeclaration. Subdeclarations can be nested to an arbitrary depth. Giving a subdeclaration (RECORD NAME1 NAME2) is a simple way of defining a synonym for the field NAME1. It is possible for a given field to have more than one subdeclaration. For example, in (RECORD FOO (A . B) (PROPRECORD B (X Y Z)) (HASHLINK B C)) B is elaborated by both a PROPRECORD and a HASHLINK. Similarly, (RECORD FOO (A B) (RECORD A (C D)) (RECORD A (Q R))) is also acceptable, and essentially "overlays" (Q R) and (C D), i.e. (fetch Q of X) and (fetch C of X) would be equivalent. In such cases, the first subdeclaration is the one used by CREATE. (SYSTEM) If (SYSTEM) is included in a record declaration, this indicates that the record is a "system" record rather than a "user" record. The only distinction between the two types of records is that "user" record declarations take precedence over "system" record declarations, in cases where an unqualified field name would be considered ambiguous. All of the records defined in the standard Interlisp-D system are defined as system records. 8.6 Defining New Record Types In addition to the built-in record types, users can declare their own record types by performing the following steps: (1) Add the new record-type to the value of CLISPRECORDTYPES;. (2) Perform (MOVD 'RECORD RECORD-TYPE), i.e. give the record-type the same definition as that of the function RECORD; (3) Put the name of a function which will return the translation on the property list of RECORD-TYPE, as the value of the property USERRECORDTYPE. Whenever a record declaration of type RECORD-TYPE is encountered, this function will be passed the record declaration as its argument, and should return a new record declaration which the record package will then use in its place. 8.7 Record Manipulation Functions (EDITREC NAME COM1 ... COMN) [NLambda NoSpread Function] EDITREC calls the editor on a copy of all declarations in which NAME is the record name or a field name. On exit, it redeclares those that have changed and undeclares any that have been deleted. If NAME is NIL, all declarations are edited. COM1 ... COMN are (optional) edit commands. When the user redeclares a global record, the translations of all expressions involving that record or any of its fields are automatically deleted from CLISPARRAY, and thus will be recomputed using the new information. If the user changes a local record declaration (page X.XX), or changes some other CLISP declaration (page X.XX), e.g., STANDARD to FAST, and wishes the new information to affect record expressions already translated, he must make sure the corresponding translations are removed, usually either by CLISPIFYing or using the DW edit macro. (RECLOOK RECNAME --- --- --- ---) [Function] Returns the entire declaration for the record named RECNAME; NIL if there is no record declaration with name RECNAME. Note that the record package maintains internal state about current record declarations, so performing destructive operations (e.g. NCONC) on the value of RECLOOK may leave the record package in an inconsistent state. To change a record declaration, use EDITREC. (FIELDLOOK FIELDNAME) [Function] Returns the list of declarations in which FIELDNAME is the name of a field. (RECORDFIELDNAMES RECORDNAME ---) [Function] Returns the list of fields declared in record RECORDNAME. RECORDNAME may either be a name or an entire declaration. (RECORDACCESS FIELD DATUM DEC TYPE NEWVALUE) [Function] TYPE is one of FETCH, REPLACE, FFETCH, FREPLACE, /REPLACE or their lowercase equivalents. TYPE=NIL means FETCH. If TYPE corresponds to a fetch operation, i.e. is FETCH, or FFETCH, RECORDACCESS performs (TYPE FIELD of DATUM). If TYPE corresponds to a replace, RECORDACCESS performs (TYPE FIELD of DATUM with NEWVALUE). DEC is an optional declaration; if given, FIELD is interpreted as a field name of that declaration. Note that RECORDACCESS is relatively inefficient, although it is better than constructing the equivalent form and performing an EVAL. (RECORDACCESSFORM FIELD DATUM TYPE NEWVALUE) [Function] Returns the form that would be compiled as a result of a record access. TYPE is one of FETCH, REPLACE, FFETCH, FREPLACE, /REPLACE or their lowercase equivalents. TYPE=NIL means FETCH. 8.8 Changetran A very common programming construction consists of assigning a new value to some datum that is a function of the current value of that datum. Some examples of such read-modify-write sequences include: Incrementing a counter: (SETQ X (IPLUS X 1)) Pushing an item on the front of a list: (SETQ X (CONS Y X)) Popping an item off a list: (PROG1 (CAR X) (SETQ X (CDR X))) It is easier to express such computations when the datum in question is a simple variable as above than when it is an element of some larger data structure. For example, if the datum to be modified was (CAR X), the above examples would be: (CAR (RPLACA X (IPLUS (CAR X) 1))) (CAR (RPLACA X (CONS Y (CAR X))) (PROG1 (CAAR X) (RPLACA X (CDAR X))) and if the datum was an element in an array, (ELT A N), the examples would be: (SETA A N (IPLUS (ELT A N) 1))) (SETA A N (CONS Y (ELT A N)))) (PROG1 (CAR (ELT A N)) (SETA A N (CDR (ELT A N)))) The difficulty in expressing (and reading) modification idioms is in part due to the well-known asymmetry of setting versus accessing operations on structures: RPLACA is used to set what CAR would return, SETA corresponds to ELT, and so on. The "Changetran" facility is designed to provide a more satisfactory notation in which to express certain common (but user-extensible) structure modification operations. Changetran defines a set of CLISP words that encode the kind of modification that is to take place, e.g. pushing on a list, adding to a number, etc. More important, the expression that indicates the datum whose value is to be modified needs to be stated only once. Thus, the "change word" ADD is used to increase the value of a datum by the sum of a set of numbers. Its arguments are an expression denoting the datum, and a set of items to be added to its current value. The datum expression must be a variable or an accessing expression (envolving FETCH, CAR, LAST, ELT, etc) that can be translated to the appropriate setting expression. For example, (ADD (CADDR X) (FOO)) is equivalent to: (CAR (RPLACA (CDDR X) (PLUS (FOO) (CADDR X))) If the datum expression is a complicated form involving subsidiary function calls, such as (ELT (FOO X) (FIE Y))), Changetran goes to some lengths to make sure that those subsidiary functions are evaluated only once (it binds local variables to save the results), even though they logically appear in both the setting and accessing parts of the translation. Thus, in thinking about both efficiency and possible side effects, the user can rely on the fact that the forms will be evaluated only as often as they appear in the expression. For ADD and all other changewords, the lower-case version (add, etc.) may also be specified. Like other CLISP words, change words are translated using all CLISP declarations in effect (see page X.XX). The following is a list of those change words recognized by Changetran. Except for POP, the value of all built-in changeword forms is defined to be the new value of the datum. (ADD DATUM ITEM1 ITEM2 ...) [Change Word] Adds the specified items to the current value of the datum, stores the result back in the datum location. The translation will use IPLUS, PLUS, or FPLUS according to the CLISP declarations in effect (see page X.XX). (PUSH DATUM ITEM1 ITEM2 ...) [Change Word] CONSes the items onto the front of the current value of the datum, and stores the result back in the datum location. For example, (PUSH X A B) would translate as (SETQ X (CONS A (CONS B X))). (PUSHNEW DATUM ITEM) [Change Word] Like PUSH (with only one item) except that the item is not added if it is already FMEMB of the datum's value. Note that, whereas (CAR (PUSH X 'FOO)) will always be FOO, (CAR (PUSHNEW X 'FOO)) might be something else if FOO already existed in the middle of the list. (PUSHLIST DATUM ITEM1 ITEM2 ...) [Change Word] Similar to PUSH, except that the items are APPENDed in front of the current value of the datum. For example, (PUSHLIST X A B) would translate as (SETQ X (APPEND A B X)). (POP DATUM) [Change Word] Returns CAR of the current value of the datum after storing its CDR into the datum. The current value is computed only once even though it is referenced twice. Note that this is the only built-in changeword for which the value of the form is not the new value of the datum. (SWAP DATUM1 DATUM2) [Change Word] Sets DATUM1 to DATUM2 and vice versa. (CHANGE DATUM FORM) [Change Word] This is the most flexible of all change words, since it enables the user to provide an arbitrary form describing what the new value should be, but it still highlights the fact that structure modification is to occur, and still enables the datum expression to appear only once. CHANGE sets DATUM to the value of FORM*, where FORM* is constructed from FORM by substituting the datum expression for every occurrence of the litatom DATUM. For example, (CHANGE (CAR X) (ITIMES DATUM 5)) translates as (CAR (RPLACA X (ITIMES (CAR X) 5))). CHANGE is useful for expressing modifications that are not built-in and are not sufficiently common to justify defining a user-changeword. As for other changeword expressions, the user need not repeat the datum-expression and need not worry about multiple evaluation of the accessing form. It is possible for the user to define new change words. To define a change word, say sub, that subtracts items from the current value of the datum, the user must put the property CLISPWORD, value (CHANGETRAN . sub) on both the upper and lower-case versions of sub: (PUTPROP 'SUB 'CLISPWORD '(CHANGETRAN . sub)) (PUTPROP 'sub 'CLISPWORD '(CHANGETRAN . sub)) Then, the user must put (on the lower-case version of sub only) the property CHANGEWORD, with value FN. FN is a function that will be applied to a single argument, the whole sub form, and must return a form that Changetran can translate into an appropriate expression. This form should be a list structure with the atom DATUM used whenever the user wants an accessing expression for the current value of the datum to appear. The form (DATUM← FORM) (note that DATUM← is a single atom) should occur once in the expression; this specifies that an appropriate storing expression into the datum should occur at that point. For example, sub could be defined with: (PUTPROP 'sub 'CHANGEWORD '(LAMBDA (FORM) (LIST 'DATUM← (LIST 'IDIFFERENCE 'DATUM (CONS 'IPLUS (CDDR FORM)))))) If the expression (sub (CAR X) A B) were encountered, the arguments to SUB would first be dwimified, and then the CHANGEWORD function would be passed the list (sub (CAR X) A B), and return (DATUM← (IDIFFERENCE DATUM (IPLUS A B))), which Changetran would convert to (CAR (RPLACA X (IDIFFERENCE (CAR X) (IPLUS A B)))). Note: The sub changeword as defined above will always use IDIFFERENCE and IPLUS; add uses the correct addition operation depending on the current CLISP declarations (see page X.XX). 8.9 Built-In and User Data Types Interlisp is a system for the manipulation of various kinds of data; it provides a large set of built-in data types, which may be used to represent a variety of abstract objects, and the user can also define additional "user data types" which can be manipulated exactly like built-in data types. Each data type in Interlisp has an associated "type name," a litatom. Some of the type names of built-in data types are: LITATOM, LISTP, STRINGP, ARRAYP, STACKP, SMALLP, FIXP, and FLOATP. For user data types, the type name is specified when the data type is created. (DATATYPES ---) [Function] Returns a list of all type names currently defined. (USERDATATYPES) [Function] Returns list of names of currently declared user data types. (TYPENAME DATUM) [Function] Returns the type name for the data type of DATUM. (TYPENAMEP DATUM TYPE) [Function] Returns T if DATUM is an object with type name equal to TYPE, otherwise NIL. Note: TYPENAME and TYPENAMEP distinguish the logical data types ARRAYP, CCODEP and HARRAYP, even though they may be implemented as ARRAYPs in some Interlisp implementations. In addition to built-in data-types such as atoms, lists, arrays, etc., Interlisp provides a way of defining completely new classes of objects, with a fixed number of fields determined by the definition of the data type. In order to define a new class of objects, the user must supply a name for the new data type and specifications for each of its fields. Each field may contain either a pointer (i.e., any arbitrary Interlisp datum), an integer, a floating point number, or an N-bit integer. Note: The most convenient way to define new user data types is via DATATYPE record declarations (page X.XX) which call the following functions. (DECLAREDATATYPE TYPENAME FIELDSPECS --- ---) [Function] Defines a new user data type, with the name TYPENAME. FIELDSPECS is a list of "field specifications." Each field specification may be one of the following: POINTER Field may contain any Interlisp datum. FIXP Field contains an integer. FLOATP Field contains a floating point number. (BITS N) Field contains a non-negative integer less than 2N. BYTE Equivalent to (BITS 8). WORD Equivalent to (BITS 16). SIGNEDWORD Field contains a 16 bit signed integer. DECLAREDATATYPE returns a list of "field descriptors," one for each element of FIELDSPECS. A field descriptor contains information about where within the datum the field is actually stored. If FIELDSPECS is NIL, TYPENAME is "undeclared." If TYPENAME is already declared as a data type, it is undeclared, and then re-declared with the new FIELDSPECS. An instance of a data type that has been undeclared has a type name of **DEALLOC**. (FETCHFIELD DESCRIPTOR DATUM) [Function] Returns the contents of the field described by DESCRIPTOR from DATUM. DESCRIPTOR must be a "field descriptor" as returned by DECLAREDATATYPE or GETDESCRIPTORS. If DATUM is not an instance of the datatype of which DESCRIPTOR is a descriptor, causes error DATUM OF INCORRECT TYPE. (REPLACEFIELD DESCRIPTOR DATUM NEWVALUE) [Function] Store NEWVALUE into the field of DATUM described by DESCRIPTOR. DESCRIPTOR must be a field descriptor as returned by DECLAREDATATYPE. If DATUM is not an instance of the datatype of which DESCRIPTOR is a descriptor, causes error DATUM OF INCORRECT TYPE. Value is NEWVALUE. (NCREATE TYPE OLDOBJ) [Function] Creates and returns a new instance of datatype TYPE. If OLDOBJ is also a datum of datatype TYPE, the fields of the new object are initialized to the values of the corresponding fields in OLDOBJ. NCREATE will not work for built-in datatypes, such as ARRAYP, STRINGP, etc. If TYPE is not the type name of a previously declared user data type, generates an error, ILLEGAL DATA TYPE. (GETFIELDSPECS TYPENAME) [Function] Returns a list which is EQUAL to the FIELDSPECS argument given to DECLAREDATATYPE for TYPENAME; if TYPENAME is not a currently declared data-type, returns NIL. (GETDESCRIPTORS TYPENAME) [Function] Returns a list of field descriptors, EQUAL to the value of DECLAREDATATYPE for TYPENAME. If TYPENAME is not an atom, (TYPENAME TYPENAME) is used. Note that the user can define how user data types are to be printed via DEFPRINT (page X.XX), how they are to be evaluated by the interpreter via DEFEVAL (page X.XX), and how they are to be compiled by the compiler via COMPILETYPELST (page X.XX). Copyright (c) 1985 Xerox Corporation. All rights reserved.