Search                        Top                                  Index

                  TEACH PRIMER -- AN OVERVIEW OF POP-11
                            (Fourth Edition)
                              Aaron Sloman
        School of Computer Science, The University of Birmingham
               With help from the Poplog development team
                   Updated For Poplog V15.01, Jan 1996

      Minimal Model of Pop-11 added before Chapter 2 on 23 Oct 1997

               Introduction to Third Edition added 11 Jul 1999


 -- -- Poplog distribution and availability
 -- -- Birmingham extensions to Pop-11
 -- -- . The Pop-11 pattern matcher
 -- -- . The RCLIB graphical package
 -- -- . Poprulebase and the Sim_agent toolkit
 -- -- Sussex Web and FTP addresses
 -- -- The Popvision library
 -- -- The Birmingham Poplog Web directory
 -- -- Very Useful Information at Reading University
 -- Advantages of Pop-11
 -- Pop-11 as a teaching language
 -- Disadvantages of Pop-11
 -- A brief history of Pop-11
 -- The Poplog editor VED
 -- Interactive programming
 -- Declarative and procedural languages
 -- The need for procedures
 -- Monitors
 -- TEACH files and the VED editor
 -- The  HELP command
 -- The REF command
 -- POP-11 facilities illustrated in this chapter
 -- The ROOMS DATABASE Example
 -- Preliminary analysis
 -- . Representing room dimensions using a list of lists
 -- -- Lexical rules for reading programs
 -- . Printing out the value of "rooms"
 -- . Defining procedure display_data
 -- . Defining the subroutine display_room
 -- . Defining the procedure perim
 -- . Defining the procedure area
 -- . Defining volume:
 -- "Top down" and "Bottom up" design
 -- Exercise on the ROOMS example
 -- Searching for information in the "rooms" database
 -- Finding several rooms
 -- Exercises
 -- Type-less higher order procedures
 -- -- Introduction
 -- -- 1. The syntax of Pop-11.
 -- -- 2. The semantics of Pop-11
 -- -- The Pop-11 ``virtual machine''
 -- -- The dictionary
 -- -- Built-in procedures
 -- -- The heap: for structures which may change
 -- -- The procedure call stack
 -- -- The user stack
 -- -- Input and output channels
 -- -- Poplog and the operating system
 -- -- Conclusion
 -- Internal semantics and external semantics
 -- Expressions denote objects. Imperatives denote actions
 -- Compile time vs run time processes
 -- How a programming language is specified: virtual machines
 -- Some Pop-11 data-types and their external forms
 -- . Two sorts of numbers
 -- . Words:
 -- . Strings:
 -- . Lists:
 -- Some Pop-11 actions
 -- -- Assignments in Pop-11 and other languages.
 -- Built in and user-defined procedures
 -- Errors and error messages
 -- -- Syntactic and semantic errors
 -- Comments in Pop-11 programs
 -- Pop-11 Expressions: some examples
 -- Imperatives: some examples
 -- -- Printing
 -- -- Assignment
 -- . A few more examples of assignments:
 -- -- Multiple assignment
 -- -- Declarations of dynamic and lexical (static) variables.
 -- -- Declarations may contain initialisations.
 -- -- Variables and constants
 -- -- Using mixed case and underscores in variables
 -- -- Using undeclared variables
 -- . NOTE on variables for experienced computer scientists:
 -- Procedure definitions are initialised identifier declarations
 -- Global and local procedure definitions
 -- Procedure calls in Pop-11
 -- -- Imperatives end with separators
 -- Using infix operators
 -- Procedures which produce results
 -- -- Procedure output values and the stack
 -- -- Procedures returning more than one result
 -- Exercises
 -- Introduction to printing in Pop-11
 -- -- Two forms of print-arrow
 -- -- Other printing procedures
 -- Conditionals and conditions
 -- Predicates and recogniser procedures
 -- Summary of syntactic roles in Pop-11 programs
 -- Lexical analysis and the Pop-11 itemiser
 -- Itemisation rules in Pop-11
 -- -- Word formation in Pop-11
 -- . Using the underscore to join letters and sign characters
 -- . Strings can contain arbitrary characters
 -- -- Character quotes and string quotes
 -- -- Double quotes with single quotes can form arbitrary words
 -- -- Changing Pop-11's "itemiser" rules
 -- Revision questions
 -- Built in Pop-11 data types
 -- Procedures associated with data-types
 -- -- Generic procedures
 -- Data creation, memory management and the heap
 -- . Note for experts
 -- List of Pop-11 Data-types
 -- . Poplog built in data types
 -- Further information on built in data types
 -- -- Words
 -- . The internal representation of words
 -- . The Pop-11 dictionary
 -- -- Strings
 -- -- Dstrings
 -- -- Idents (identifier records)
 -- -- Types of numbers in Pop-11
 -- -- Integers and Bigintegers
 -- -- Floating point numbers: decimals and ddecimals
 -- -- Ratios use indefinite precision
 -- -- Complex numbers
 -- -- Recognizers for number types: integral, rational, decimal, complex
 -- -- Reading in numbers relative to a base
 -- -- Characters (8 bit integers)
 -- -- Booleans (true and false)
 -- -- Pairs and lists
 -- -- References (single component records, consref, cont).
 -- -- Types of vectors: strings, full vectors, intvecs, shortvecs
 -- . Standard full vectors
 -- . Packed integer vectors: intvecs and shortvecs
 -- -- Procedures, closures, arrays, properties
 -- . closures
 -- . arrays
 -- . Using newanyarray to create an array from an intvec
 -- . properties
 -- . 'Destroy properties'
 -- -- Declaring a variable to be of type procedure
 -- -- Lightweight processes
 -- -- undefs
 -- -- Keys
 -- -- Unique objects: nil, termin, stackmark
 -- . The empty list []
 -- . The stream terminator, termin
 -- . The stack mark, popstackmark
 -- -- Devices
 -- -- External pointers
 -- -- Sections
 -- -- Prolog variables and terms: prologvars, prologterms
 -- -- Data types required for the Poplog X window interface
 -- Objectclass - An object oriented extension to Pop-11
 -- -- Further online information
 -- Additional information needed to define Pop-11
 -- The garbage collector
 -- Exercises
 -- Procedures communicate via the stack
 -- The DOT-notation for procedure calls
 -- Assignment as a two stage operation
 -- The stack and arithmetic expressions
 -- Implicit uses of the stack
 -- Example: implicit uses of the stack when running "perim"
 -- Exercises on the stack
 -- More examples of uses of the stack
 -- "->" " does not always represent an assignment">does not always represent an assignment
 -- "">The print arrow "=>"
 -- The pretty print arrow ==>
 -- Using assignment to store something in a structure
 -- Invoking the updater of a procedure
 -- Other updaters: subscrv, subscrs
 -- Using a numerical subscript to access or update a structure
 -- updaters, the stack and "explode"
 -- Defining updaters
 -- >"">Non-destructive assignment "->>"
 -- Exercise
 -- Multiple assignments
 -- Some procedures which work on the stack
 -- Clearing items from the stack (erase)
 -- Removing unwanted items from the stack
 -- Swapping items using the stack
 -- Conditionals and the stack
 -- Procedures as "first class objects"
 -- Other languages able to manipulate procedures
 -- Example: creating new procedures from old
 -- Using "partial application" to create a closure
 -- Using both partial application and procedure composition
 -- Exercises on procedure creation and manipulation
 -- Using non-procedures (e.g. lists, vectors) as procedures
 -- Arrays are procedures in Pop-11
 -- Properties as procedures
 -- -- newmapping associates things compared using "="
 -- . Properties created using newmapping behave like procedures
 -- -- newproperty associates things compared using "=="
 -- . Properties can be composed using <>, given to maplist, etc.
 -- Exercise using properties for the rooms database
 --  = ... enddefine"">Using "define <name> = ... enddefine"
 -- Specifying the syntactic type of a procedure identifier
 -- Executing (calling, running, applying) a procedure
 -- Procedures with more than one output local
 -- Output locals and the stack
 -- Precedence and parentheses
 -- -- Precedences of arithmetical operations
 -- . Parentheses can override operator precedence
 -- . Operators associate to left, unless precedence is negative
 -- -- Using identprops to discover precedence
 -- Defining new infix procedures
 -- Different types of procedures: normal, infix, macros, syntax
 -- -- Infix operators have a " precedence"
 -- -- Macros and syntax words
 -- . . Syntactic operators
 -- Some important constructs used in defining procedures
 -- Loops: instructions to do something repeatedly
 -- -- UNTIL <condition> DO <action> ENDUNTIL
 -- -- REPEAT <number> TIMES <action> ENDREPEAT
 -- -- WHILE <condition> DO <action>  ENDWHILE
 -- -- 'FOR ... ENDFOR' loops
 -- . .    FOR X IN LIST DO <action> ENDFOR;
 -- . .    FOR L ON LIST DO <action> ENDFOR;
 -- . .    FOR X FROM <number> BY <number> TO <number> DO
 -- -- There are several forms of conditionals.
 -- . . Examples of conditionals
 -- Using conditionals to jump out of, or re-start a loop.
 -- -- Re-starting a loop using "nextloop"
 -- -- Other abnormal exit commands
 -- . "return" can be used to terminate execution of a procedure.
 -- . Other abnormal exits.
 -- -- Switch statements
 -- Other syntactic constructs
 -- Tracing procedures
 -- Defining macros and syntax words to extend the language.
 -- -- Macros
 -- . Macros can be recursive
 -- . Macro arguments are text items, not expressions
 -- -- Using "define :inline" to define the SWAP macro
 -- -- Note on efficiency of macros
 -- -- Syntax procedures
 -- -- Example: defining a syntax word: loop
 -- Mathematical knowledge presupposed
 -- The machine representation of numbers in Poplog
 -- -- Simple items in Pop-11: integers and decimals
 -- -- Compound items in Pop-11
 -- -- Fixed precision and indefinite precision arithmetic
 -- -- Packed integer or decimal numbers
 -- Types of numbers in Pop-11
 -- -- decimals and ddecimals
 -- -- Integers, bigintegers, ratios and complex numbers
 -- Forming numerical expressions
 -- -- Using a radix other than 10 to represent numbers on input
 -- -- Using pop_pr_radix to control radix used in printing
 -- . pop_pr_radix, pop_pr_places and pop_pr_exponent
 -- Additional facilities for printing numbers
 -- Maximum and minimum integer sizes: pop_max_int, pop_min_int
 -- The representation of floating point numbers: lib float_parameters
 -- Basic arithmetical facilities
 -- Arithmetical operators
 -- . Examples of arithmetical expressions
 -- . Illustrating the use of // (which produces two results)
 -- -- Binary and unary negation
 -- -- WARNING: division of integers using "/" can produce ratios
 -- Infix predicates on numbers
 -- Recognizer predicates for number types
 -- Coercing numbers from one type to another
 -- Other arithmetic procedures
 -- Illustrating popradians
 -- Other global variables controlling arithmetical computations
 -- -- popdprecision
 -- -- pop_reduce_ratios
 -- Miscellaneous operations on integers, ratios, floats
 -- -- checkinteger,  gcd_n,  lcm_n
 -- -- destratio, numerator, denominator
 -- -- Operations on floats (decimals and ddecimals)
 -- -- intof, fracof, float_digits, float_precision
 -- -- float_decode, float_scale, float_sign
 -- Complex Specific Operations
 -- random and oneof
 -- Additional mathematical functions
 -- Exercises
 -- Testing for equality and inequality
 -- Bitwise (Logical) integer operators
 -- -- Bit accessing procedures for integers
 -- -- Infix and prefix bitwise (logical) operators
 -- -- Unary bitwise negation ~~
 -- -- Bitwise (logical) shift operators
 -- Iteration over numbers
 -- -- for num from ... by ... to ... do ... endfor
 -- -- Using fast_for
 -- -- Iterating over non-arithmetical progressions
 -- Using external mathematical libraries
 -- On knowing about lists
 -- Why use lists?
 -- -- Lists can contain a mixture of elements of any type in Pop-11
 -- . Illustrating generality: isinlist
 -- Lists vs other representations
 -- Lists in AI
 -- Constructing lists in Pop-11
 -- -- Lists are constructed using [    ]
 -- -- List brackets quote their contents
 -- -- Unquoting using ^ and %
 -- -- ^( ... ) is equivalent to % .... %
 -- -- Loops can occur in unquoted portions of a list
 -- WARNING lists in procedures are not "constants"
 -- -- Creating a truly constant list expression
 -- . Using lconstant
 -- -- using #_< ... >_# to evaluate an expression at compile time
 -- -- WARNING constant lists can cause strange behaviour
 -- Concatenating lists using <>
 -- Merging lists using the double up-arrow
 -- Lists are a derived data-type
 -- . Pairs are the primitive datatype used: conspair, front, back
 -- -- destpair(pair) -> (pair_front, pair_back)
 -- . A chain of pairs ending in [] is a list
 -- -- List expressions are "syntactic sugar"
 -- -- Recursively chaining down list links
 -- -- Recursing down the front and the back of a "tree"
 -- -- Numeric subscripts and lists
 -- -- Iterating down list links
 -- Why use "hd" and "tl" instead of "front" and "back" ?
 -- . The need to hide implementation details
 -- -- using :: instead of conspair
 -- -- The difference between :: and <>
 -- Diagrams showing static lists represented as pairs
 -- -- The lack of symmetry between hd and tl
 -- Dynamic lists: generators and pdtolist
 -- -- Generator procedures
 -- -- Printing dynamic lists
 -- . Using gensym to make a dynamic list
 -- . Note that gensym will be replaced after V14.5
 -- -- Accessing components of dynamic lists: hd, tl, dest
 -- . null(list) vs list == []
 -- -- The representation of dynamic lists
 -- -- The uses of dynamic lists
 -- . An example of an infinite list of input
 -- Some procedures for manipulating lists
 -- -- cons, conslist, initl, sysconslist
 -- -- allbutfirst, allbutlast
 -- -- dl or explode, destlist
 -- -- applist, maplist, ncmaplist
 -- -- recursive_front
 -- -- expandlist
 -- -- rev and ncrev
 -- -- setfrontlist
 -- -- sort and syssort
 -- -- last, lastpair
 -- -- oneof, shuffle
 -- -- delete, ncdelete
 -- -- flatten and flatlistify
 -- -- length and listlength
 -- -- copy, copylist, copydata, copytree
 -- -- subscrl, fast_subscrl
 -- Predicates on lists
 -- -- atom, islist, ispair, islink, null
 -- -- isdynamic
 -- -- member, lmember
 -- -- user defined predicates
 -- Iterating on lists
 -- Using for ... in ... do .... with lists
 -- -- Using for inside [% ..... % ]
 -- Iterating over two or more lists
 -- Iteration vs Recursion
 -- Exercises
 -- More exercises on lists
 -- Exercises on the meaning of the single and double up-arrows
 -- -- The anonymous segment pattern element: "=="
 -- Using matches to define a procedure
 -- Exercise
 -- Use of the matcher to extract the contents of a list
 -- The use of "?" variables
 -- -- Example: Using the matcher to define next_item
 -- -- Exercise: define previous_item
 -- "">The matcher arrow "-->"
 -- -- "">Examples of the use of "-->"
 -- Findroom revisited
 -- Setting a value ("?") vs Using a value ("^")
 -- List pattern matching
 -- Describing the shape of a list pattern
 -- Using variables in a pattern specification
 -- Matching a "segment" of a list
 -- Retrieving details of the target list
 -- Using a "restriction" to control or check the match
 -- Summary of match notations
 -- MATCHing on a corpus of lists - the DATABASE concept
 -- Adding and removing database items
 -- Using "it" to record what was removed
 -- Finding items in the database
 -- -- How PRESENT works.
 -- Using "it" to record what was matched
 -- Retrieving values from within a matching ITEM
 -- Using LOOKUP to extract information from the database
 -- FOREACH: iterates over all items PRESENT matching a pattern
 -- Checking a set of patterns against the database
 -- Forevery: simultaneously satisfying a collection of patterns
 -- -- More powerful database-related mechanisms
 -- -- LIB SUPER: A Prolog-like extension to Pop11
 -- -- -- LIB SUPER: Some examples
 -- -- -- Printing out the SUPER database
 -- -- -- Using 'which' to get complete information
 -- Some limitations of the Pop11 matcher
 -- -- LIB FMATCHES overcomes some limitations of the matcher
 -- -- The POP11 pattern prefix !
 -- -- -- list_between
 -- -- -- Without the prefix "!"
 -- Procedures to be supplied by users
 -- . is_goal_state
 -- . next_states
 -- . same_state
 -- . insert_state
 -- . is_in_list
 -- The definition of solve_problem
 -- Using solve_problem to solve a simple problem
 -- Exercises
 -- Records
 -- Defining new record types in Pop-11
 -- -- An example: recordclass point3D
 -- -- When should records be used?
 -- Defining new vector types in Pop-11
 -- -- Example of creation of a new vector class.
 -- OBJECTCLASS: an Object-Oriented extension to Pop-11
 -- -- Some examples of the use of Objectclass
 -- -- Defining an objectclass method
 -- -- Defining a subclass of a class
 -- -- Additional topics and relevant documentation files
 -- -- Overview of REF files
 -- VMS DCL or UNIX shell commands in Pop-11


There has been a growing recognition that over three decades teaching of
computing in schools in the UK went badly wrong as a result of the focus on
emphasis on USE of computing tools rather than designing them, implementing
them, understanding how they work, debugging them, and documenting them. As a
result the Computing at School group (CAS) and various others began organising
teachers, lobbying, giving presentations, organising conferences, and by late
2011 there is wide-spread acknowledgement that the situation needs to be
changed, though there are many obstacles (including effects of the poor
computing education of the last three decades).

However, most of this recognition has focused on computing as an ENGINEERING
discipline with enormous potential for the economy and for improving and
enhancing many kinds of technology including, education, transport,
manufacturing, financial services, medicine, and others. Insofar as the
discipline involves SCIENCE this has mostly been thought of as the mathematical
investigation of relationships between computing languages, structures,
processes, machines, and various types of practical applications.

What this ignores is the important requirement for computing science to be
applied to the scientific study of forms of computation that are not products of
human engineering -- including the many forms of information processing found in
biological organisms (perceiving, learning, reasoning, motive formation,
planning, plan execution, communication, and processes controlling various kinds
of growth and development).

There are also scientific studies of the ways in which artificial and natural
information processing systems can interact and their consequences, for example
uses of computer-based artificial companions or collaborators for use by humans
in various contexts.

These studies require both

  1 new kinds of computationally-informed investigation of problems facing
    humans and other animals (e.g. problems arising out of the structure of the
    environment and the richness of the varieties of process that can occur,
    including interactions with other intelligent agents)


  2 Development of new kinds of computational model that can serve as candidates
    for explanations of the competences under investigation.

Different models are best served by different kinds of programming constructs
and techniques, and that is why AI researchers from the early days of AI found
it necessary to investigate alternatives to the programming languages that had
proved useful in various branches of the physical sciences, in statistical
research, in numerical analysis, and more recently in the design and development
of a host of practical applications involving networks, machine control,
internet services, control of medical machinery and many more.

Unfortunately there has been a tendency for the research to fragment into
sub-fields which at best ignored other subfields and at worst disparaged the
languages, methods, tools, and goals of other subfields as worthless or
superseded. This is partly a result of competition for funding and attention,
and partly a result of most researchers receiving a very narrow education that
blinkers their view of the breadth and complexity of the problems.

This primer is an introduction to a strand of AI programming, sometimes called
'Symbolic AI' that is not claimed to be the best or sufficient on its own, but
which has been shown to be of use in tackling a subset of the problems
especially those problems that relate to aspects of human intelligence that we
are aware of - as opposed to the many still mysterious processes of learning,
development, and control including many that we share with other organisms, and
which may be closely related to the details of the physical machinery produced
by biological evolution. Symbolic AI can be combined, in 'hybrid systems', with
other approaches to AI, e.g. more numerical or statistical approaches, some of
which attempt to model neural mechanisms and processes.

However, the symbolic subset of AI is both intrinsically interesting in its own
right and more approachable by young learners who are not yet mathematically
sophisticated. If they can read, play board games, and solve simple puzzles,
they are ready to start learning AI. The language pop11, presented here enables
them to start with very simple exercises and gradually to acquire more
sophisticated techniques, using additional programming paradigms, including at a
later stage developing hybrid systems, e.g. combining numerical and symbolic

The sorts of programs that pop11 supports particularly well can be called
'thinky' programs, as opposed the 'numbery' programs supported by mathematical
and statistical packages, and the 'bumpy' programs for producing and controlling
movements of toy machines or objects on a screen or virtual objects moving
around virtual environments. Pop11 supports number programs well especially
because of its rich support for list processing, including a powerful
pattern-matcher that was used to develop a rule-based system package and on top
of that, using object-oriented facilities, an agent toolkit. It is also more
easily extendable than most other languages (including Common Lisp) because the
incremental compiler tools are available to the user, which is why it was
possible to provide, within Pop11, incremental compilers for Common Lisp,
Prolog, Standard ML, and a version of Scheme (developed by Robin Popplestone at

This new introduction and the revised version of the primer form part of a
response to recognition by a subset of members of the ComputingAtSchool group

that there is a need to develop ways of introducing AI into school teaching from
an early age, not merely because AI has useful practical applications (e.g. in
the technology used by google and in many commercial and engineering
applications), but also has great scientific importance in providing concepts,
tools, and models for formulating explanatory theories in science, such as
biological investigations of animal behaviour and learning, human psychology,
education, linguistics, social sciences, and even philosophy. AI offers the hope
of shedding new light on old problems about relations between mind and matter,
and the nature of consciousness.

Since the events described at the end of the Introduction to the Third edition
of this primer, when ISL was bought by SPSS there has been a further commercial
development. SPSS was bought by IBM, and now ISL's Clementine system, originally
developed mainly using Pop11 and other parts of Poplog, is deeply embedded in
IBM's business software systems.

See also


-- -- Poplog distribution and availability

Poplog was originally developed at Sussex University, though it has been
marketed by a commercial software company since 1983. Initially that was Systems
Designers Ltd (which changed its name several times), but in 1989, following a
management buy-out by the Poplog sales and support staff, the sales and support
of Poplog was taken over by Integral Solutions Ltd (ISL), who subsequently used
Pop-11 and Poplog in their award winning data-mining package Clementine. For the
following ten years Sussex and ISL continued to collaborate on the development
of Poplog and the Pop-11 language.

However, as explained in ISL's web page, in December 1998, ISL was taken over by
SPSS in order to combine ISL's Clementine system and customer base with the
data-mining expertise and market of SPSS.

Some of the links that previously provided information about ISL, Clementine and
SPSS no longer work, e.g.

This one now diverts to IBM:

Following ISL's takeover by SPSS, there was an agreement between ISL and Sussex
University that each could do whatever they liked with Poplog, and Sussex
decided to make the system including all the system sources freely available.

Shortly after that, Steve Leach (previously known as Steve Knight when
he was at Hewlett Packard Research Labs, where he developed the Pop-11
Objectclass system) along with Graham Higgins, also previously at HP
Research labs, set up a Poplog information site, which included a
remotely accessible Pop-11 system, so that enquirers could try out
pop-11 at a distance. Unfortunately their site is no longer available.

The free version of Poplog that was initially be released in the
summer of 1999 was Poplog Version 15.53, which included some recent
changes, including changes required to support RedHat Linux 5.x and 6.x.

Since then new versions have been released, described in

Pop11 development at Birmingham after Poplog became free mainly involved
the production of a substantial 2-D graphical toolkit making extensive use of
Steve Leach's Objectclass extension to Pop11

and the development of the SimAgent toolkit using Poprulebase, Objectclass, and
RCLIB to support exploration of architectures and implementations for various
types of agent, both for scientific and for practical purposes. See

There have been moves to re-engineer poplog in a more extendable form, and make
it available on sourceforge, but those efforts have suffered from lack of
resources. See

There has been a version of poplog (Version 15.5) that ran under windows,
which lacked the graphical extensions available on unix and linux poplog,
available from here

However that has been superseded by the virtualisation technology. It is now
possible to run the latest linux poplog within a virtual linux running in
VirtualBox on windows XP, Windows vista, and Windows 7, as well as on a Mac.
For details see

-- -- Birmingham extensions to Pop-11

-- -- . The Pop-11 pattern matcher

The latest version of Poplog has a new version of the Pop-11 pattern
matcher integrated with the standard "=" operator and extended to work
on more than just lists. The details are in the file HELP EQUAL, in the
section on Pattern Matching. See especially the section on the new
"equals" operator which is more flexible and handles repeated variables
in nested patterns, which the old pattern matcher could not cope with
because it required a back-tracking matcher.

Unfortunately converting all the matcher-based teaching materials
to use the more powerful and general matcher will take considerable
time. However, there is a package available at Birmingham which
extends the old matcher so that it can be used with variables in a
section and also lexically scoped variables (declared using lvars or
dlvars). For this to work it is necessary to prefix all patterns
containing pattern variables with the prefix "!". I would have liked to
re-write Chapter 7.

-- -- . The RCLIB graphical package

Since motif is not available on all linux systems, I developed a
collection of interface development tools which build on the Poplog
Widget set (See REF Xpw, TEACH Xpw) without using any Motif libraries.

These tools can be browsed at

They are now included by default in linux poplog.

and all the code and documentation are available there and in this
compressed tar file:

with the Recursive Hypermenu extension based on that available here:

Those are now part of the standard linux poplog distribution, in these


-- -- . Poprulebase and the Sim_agent toolkit

To facilitate exploratory development of cognitively rich software agents (or
possibly also cognitively sophisticated robots) the Sim_agent toolkit (also
known as SimAgent) was developed at the University of Birmingham, and is freely
available from the Poplog directory, as described in.

Sim_agent is also included in poplog in these directories:

        Newkit -- which combines both

These tools make use of the RCLIB package described above and the
Poprulebase forward chaining production system interpreter:

It is described in various files included with poplog, including

        the main overview file

        an introduction for novices

The Sim_agent library builds on all of those utilities, making heavy
use of the Objectclass extension to Pop-11. See also


(NOTE: the information given below about Integral Solutions Ltd is now
out of date, as explained above.)

The language Pop-11 changed significantly with the release of Poplog
Version 15.0 in late 1995. In particular the default for undeclared
input and output variables in a procedure changed from dynamic scoping
to lexical scoping. Thus it is no longer necessary to use "lvars" to
declare such variables explicitly. In addition the use of "vars" within
a procedure to simultaneously declare a variable as global ("permanent")
and make its value dynamically scoped, generated a warning message.
After complaints from educational users those warning messages were
withdrawn in Poplog Version 15.01. This primer is geared to V15.01,
though users of earlier versions should still find it helpful.

There were several other changes, which are described in the HELP NEWS
file available on Poplog systems, and in the release notes provided with
Poplog Version 15.0. Notable among these are the introduction of a
socket library, new options for spawning sub-processes, and other
facilities for interacting with external libraries and the operating

In addition Version 15 saw the first release of Poplog for the DEC Alpha
Architecture, both under VMS and under Digital Unix (previously known as
OSF/1). There was also a port of Poplog to run on Intel-based PCs under
the free Linux operating system, and a reduced version of Linux Poplog
was made freely available via ftp, so that for the first time an up to
date version of Pop-11 is available free of charge. There is a charge
for the unrestricted Linux Poplog. All versions of Poplog are available
from Integral Solutions Ltd, at the address given in the
Acknowledgements section.

It is also worth mentioning that Poplog Version 14.5 provided the first
official release of both the Objectclass Object Oriented Programming
extension to Pop-11 and the Graphical Objects library (GO), both in the
"proto" directory


Pop-11 is still being extended. Version 15.5 of Poplog provided
a new data-type, a "matchvar" which provides extended pattern matching
facilities integrated with the Pop-11 equality operator "=".

The second edition of this primer had a chapter added on how to define a
general problem solver, and many other minor changes. It also seemed a
good idea to start by illustrating Pop-11 before going on to more
general matters, so that the reader who is new to Pop-11 has some idea
of what the language is like.


Pop-11 is a rich and complex language with many subtle features. However
it has a very easily learnt subset, which is very close to what can be
found in many other programming languages.

Readers who have access to a Poplog system and who wish to get a feel
for the language should obtain the "TEACH GSTART" file from the
Birmingham University site

This provides an introduction to Pop-11 through its graphical facilities
(now even available on windows, using the system described here: )

For those who are not able to run Pop-11 here are some illustrations of
what would happen if you could.

The symbol "=>", known as the "print arrow" is used to print "results"
left on the stack by preceding Pop-11 expressions. Lines starting "**"
are printed out by the print, arrow. In a few cases, the output
overflows to the following lines. Those cases should be clear.
Everything else is input. ";;;" precedes an end of line comment,
ignored by the compiler.

The Pop-11 compiler is incremental (like most Lisp, Basic, and Prolog
systems) which means that you can give a succession of commands as
illustrated below. Each command is compiled to machine code then run.
(It is not interpreted.) The commands may either be typed directly to
the compiler or given to the compiler through the Poplog editor VED, or
some other editor, e.g. Emacs.

Examples follow.

;;; Put some integers, decimals, a word, a string and a list on the
;;; Pop-11 stack and print them out.
1, 2, 3, 99.9, 105.0035, "cat", 'a string', [a list] =>
** 1 2 3 99.9 105.0035 cat a string [a list]

;;; Declare three variables, one initialised, and do some calculations:
vars radius = 10, circumference, area;
2*pi*radius -> circumference;
pi*(radius**2) -> area;
[The circumference is ^circumference and the area is ^area] =>
** [The circumference is 62.8319 and the area is 314.159]

;;; Define a procedure to create a palindrome from a list

define palindrome(list) -> result;
    ;;; This procedure takes one input and returns one result
    ;;; take in a list, append the reverse of the list
    list <> rev(list) -> result;

;;; test it
palindrome([a b c d e]) =>
** [a b c d e e d c b a]

palindrome([[the cat][sat on][the mat]])=>
** [[the cat] [sat on] [the mat] [the mat] [sat on] [the cat]]

;;; Use the Pop-11 pattern matcher to define a procedure to
;;; report associations expressed as "key value" pairs in a list
;;; of associations.

;;; set up an association list
vars person =
    [name fred age 30 job butcher wife sally kids [sue tom]];

define association(item, list) -> result;
    ;;; If something follows item in list, return it,
    ;;; otherwise return false. Declare "found" as a pattern variable;
    vars found;
    if list matches [== ^item ?found ==] then
        found -> result
        false -> result

;;; Test it

association("name", person) =>
** fred

association("wife", person) =>
** sally

association("kids", person) =>
** [sue tom]

;;; And, of course, a recursive definition of factorial, showing
;;; the "functional" programming style, without output variables
define fact(x);
    if x == 0 then 1
        fact(x - 1) * x

;;; test it
fact(6) =>
** 720

;;; Pop-11 has unlimited precision integers. A 'small' example:
fact(200) =>
** 788657867364790503552363213932185062295135977687173263294742533244359

;;; Check that the results are correct (in a fraction of a second)
** 1000

;;; And complex numbers, with a real part and an imaginary part
vars i = sqrt( -1 );
i =>
** 0.0_+:1.0

i * i =>
** -1.0_+:0.0

;;; cross type equality works:
i * i = -1 =>
** <true>

;;; And ratios, with numerator and denominator

66/48 =>
** 11_/8

Those examples illustrate only a small subset of the language. The rest
of this primer introduces some of the history of Pop-11 and many
additional features of the language. But several of the more advanced
features, including mechanisms for interfacing to the operating system,
or for interacting with other languages, including Prolog and other
Poplog languages, are not included, though pointers are given to the
online documentation for those features in the Poplog system.

-- -- ACKNOWLEDGEMENTS --------------------------------------------

"POPLOG" is a trade mark of the University of Sussex.

This Introduction to Pop-11 uses material produced over many years by
colleagues in the School of Cognitive and Computing Sciences at Sussex
University, including Steve Hardy, Max Clowes and John Gibson in the
1970s, and since then by colleagues at Sussex, Integral Solutions Ltd,
The University of Massachusetts at Amherst, and Hewlett Packard
Laboratories, including especially:

Harry Barrow, Ros Barrett, Graham Brown, Julian Clinton, Jonathan
Cunningham, Chris Dollin, Ben du Boulay, Rob Duncan, Roger Evans, John
Gibson, James Goodlet, Tom Khabaza, Rudi Lutz, Steve Knight, Clark
Morton, Chris Mellish, Jon Meyer. Simon Nichols, Robin Popplestone, Ben
Rabau, Allan Ramsay, Ian Rogers, Ben Rubinstein, Mark Rubinstein, Colin
Shearer, Mike Sharples, Chris Slymon, Robert Smith, Chris Thornton, John
Williams, David Young.

The language Pop-11 would not have existed, but for some excellent ideas
of Robin Popplestone in the late 60s, which provided the basis for the
family of "Pop" languages.

Between about 1988 and 1998 much of the development of Poplog was done by the
main commercial distributors Integral Solutions Ltd (ISL), working in
collaboration with Sussex University. The chief architect of Poplog and Pop-11
was John Gibson, at Sussex University, who designed and implemented the core
mechanisms on which everything else depends including the compilers, store
management, and interfaces to external languages and the operating system (Unix
and VMS).

ISL no longer exists, so this address can no longer be used for support!
It is left here for historical interest.

    Integral Solutions Limited
    Berk House
    Basing View
    Hants RG21 4RG, UK

    Tel. +44 (0)1256 55899
    Fax. +44 (0)1256 63467

The Alphapop subset of Pop-11 for the Mac was developed by

    Cognitive Applications Ltd
    4 Sillwood Terrace
    Brighton BN1 2LR,
    Phone +44 273 821600

However, Alphapop no longer works, and I have no information about its

-- POPLOG INFORMATION AND FTP SITES -----------------------------------

There are two other Poplog WEB sites from which further information and
additional software can be obtained. The sites are not identical, though
there is some overlap.

-- -- Sussex Web and FTP addresses

Unfortunately, Sussex no longer provides generally available online information
about poplog.

Ian Rogers created a "Frequently Asked Questions" file, which used to be

It can be found here

This includes some historical notes, with contributions from various users.

-- -- The Popvision library

The excellent "popvision" library produced by David Young at Sussex, with
tutorial files and interactive demonstration programs for teaching low level
image analysis and interpretation, as well as some very useful image display
procedures related to the rc_graphic library is now included as part of
poplog. It is also browsable online here:

-- -- The Birmingham Poplog Web directory

A lot of AI and Cognitive Science teaching material and utility
libraries, including a rule-based programming system, and the SIM_AGENT
toolkit are available from the Birmingham university Poplog FTP
directory, at this address:

The AREADME file gives an overview of contents. These include a
collection of compressed tar files and several browsable
sub-directories, such as:

and many more. These are now part of the standard linux poplog distribution.

The "teach/" sub-directory includes several files that improve on the
original Poplog versions (some of which the author produced before he
left Sussex for Birmingham). The rclib/ sub-directory includes many
extensions to the graphical tools in Pop-11, e.g. new tools for building
graphical control panels, more flexible than Propsheet.

There is also a browsable HTML version of this primer:

However, this was last updated in 2008 and some of the information is out of
date. Later it will be updated.

It is also available for download

-- -- Very Useful Information at Reading University

Anthony Worrall's information page at Reading University is

This includes browsable versions of poplog documentation and pointers to
further information.

Unfortunately it has not been updated for some time.

-- PREFACE TO THE FIRST EDITION (Sept 1994) ---------------------------

(This preface was slightly revised in Jan 1996)

Pop-11 is the core language of the Sussex University Poplog system,
which also contains Prolog (the logic programming language) Common Lisp,
and Standard ML.

This Primer for Pop-11 is based on the "TEACH PRIMER" Poplog file which
I originally produced while at Sussex University in 1984. It was
distributed with Poplog and provided part of the original text for the
book on Pop-11 by Barrett, Ramsay and Sloman, published in 1985. In
Poplog V15.0 it was replaced by an earlier version of this Primer.

During 1993 and 1994 the primer was re-written and extended, making it
consistent with new versions of Poplog Pop-11 (Version 14.2, Feb 1993,
Version 14.5, mid 1994). The second edition was revised for Poplog
Version 15.0, released Autumn 1995.

This Primer is not totally compatible with older versions of Poplog
Pop-11. The vast majority of the examples will work with older versions
of Poplog Pop-11 (from about Version 13), though it is likely that most
versions are no longer executable owing to operating system changes.

Because the Primer is intended primarily for use by people who have an
executable version of Poplog Pop-11, there are frequent references to
online Poplog files, which supplement this text, including TEACH files,
which contain many tutorial examples, HELP files which contain useful
summaries, and REF files, which provide more complete and systematic

The versatile Poplog editor VED provides a very convenient tool for
browsing these files, many of which contain code examples, which can be
run in the editor. Similarly examples in the online version of this
Primer can be run in VED, and the results checked against those given in
the text. For readers lacking Poplog this primer should nevertheless
give a useful, though incomplete, introduction to Pop-11. For Emacs
users, accessing Poplog online information is not quite so convenient.
The Poplog contrib directory includes some facilities for customizing
Emacs for Poplog users. It is hoped to add further improved Emacs
facilities at the Birmingham Poplog FTP site.

There are also now many facilities in Poplog Pop-11 concerned with the X
Window System interface, supporting graphics and graphical and menu
driven interaction. This document does not describe those facilities in
any detail.

Poplog now contains an (optional) X-based menu-driven interface, and
there are many utility programs for building interfaces and other
things. The editor, VED (and its multi-window version, XVED) can be
extended by the user, as it is just a collection of Pop-11 programs, and
provides a general purpose, terminal independent, user interface for
screen-based programs.

The X facilities in Poplog provide a basis for more sophisticated types
of interaction using graphics, menus, etc. See TEACH RC_GRAPHIC and
TEACH PROPSHEET for some examples.

Besides Pop-11, the core language, Poplog includes versions of Lisp,
Prolog and Standard ML. This is made possible by the fact that Pop-11
includes facilities for defining new syntactic forms that are directly
compiled to machine code, unlike other languages that would require the
use of macros, or an interpreter.

The version of Lisp in Poplog is based on the original definition of
Common Lisp, in the book by G.L. Steele, Common Lisp The Language, first
edition. It does not at present (1992) contain all the features of some
more widely used Lisp systems and in particular does not (in Poplog
version 15.0) contain an interpreter, though it does, like the other
Poplog languages, provide an incremental compiler. For information on
the latest version of Lisp in Poplog see the HELP LISPNEWS file. (The
Lisp in Version 15.0 of Poplog has been made more compatible with
Steele's book.)

Pop-11 is similar in many respects to Lisp (though some people find it
more readable) and, like Lisp, it provides a fully fledged research
and development language which can be used both interactively and in
batch mode.

Common Lisp has features Pop-11 does not have (e.g. an interpreter, in
some implementations of Lisp), and Pop-11 has some features that Common
Lisp does not have, e.g. a pattern matcher and the compilation tools.
The "section" mechanism of Pop-11 works rather differently from the
"package" mechanism in Common Lisp, though both are useful for
structuring large programs. An important difference as regards
programming style is that Pop-11 has a boolean data-type so that FALSE
and the empty list are distinct objects.

Pop-11 also has several experimental object-oriented extensions
available as library programs. The most sophisticated OOP extension,
which has been recently adopted as standard for Poplog, is known as
"Objectclass" and is close in spirit to the Common Lisp Object System
(CLOS). Objectclass was mainly designed and implemented by Steve Knight,
at Hewlett Packard research laboratories, Bristol.

Pop-11 is the core of Poplog in that the other languages are implemented
in terms of it. For users of Poplog it is worth knowing about Pop-11,
even if they mainly use Prolog, Lisp or ML.

Knowledge of a subset of Pop-11 will make it possible to take full
advantage of facilities for extending and tailoring the editor VED to
suit your own requirements. Knowing Pop-11 will also facilitate making
full use of the X interface, though in principle this could be done via
libraries specific to the different languages.

Prolog is probably the most popular sub-language of Poplog, and for many
types of programs it provides powerful and elegant facilities.
However, for certain kinds of programs Pop-11 is more convenient, and
more efficient, than Prolog; e.g. programs which do a great deal of
arithmetic, string or vector manipulation, deterministic list
processing, or rapidly changing global data-structures.

This Pop-11 Primer is illustrative rather than definitive: A more
complete and rigorous specification of the Pop-11 language is provided
in the Poplog REF files. There is a British Computer Society working
group designing a new standard for Pop-11.

This Primer will be found easier to follow by those who already have
some programming experience in a conventional programming language (e.g.
Pascal or C). Such readers may find some of the explanations regarding
procedures, variables, arguments, results, loops, stacks, etc.
redundant. However in Pop-11 there are sufficient differences from more
common languages that there will be points of interest in these
sections. Some sections may be found difficult on a first reading and
should be skimmed at first, especially by novice programmers.

-- Advantages of Pop-11 -----------------------------------------------

Should anyone use Pop-11 as a programming language rather than the
better known languages like Basic, Fortran, Pascal, Java, C or C++ ? The
answer is that it depends on what you need the language for. In some
cases the other languages are clearly better. For example C runs on more
machines, and programs written in C will often run faster and require
less space than the same program written in Pop-11.

However, Pop-11 is a richer, more advanced language which enables more
ambitious programs to be written with less effort. For particularly
ambitious projects, where the problem is very complex and exact nature
of the problem is not well understood in advance,  a language like
Pop-11 is particularly useful for the following reasons:

(a) It provides a very rich set of facilities, with a varied range of
data-types and control facilities, that can cope with a wide range of
types of applications (including those requiring object oriented
programming facilities).

(b) Its syntax is extendable so that different sub-languages suited to
different sub-problems can easily be implemented within it and
integrated with Pop-11 itself.

(c) The Poplog version of Pop-11 comes in an incremental interactive
development environment which can enormously speed up the process of
development, debugging and testing compared with most non-AI programming
languages. For example the incremental compiler allows a new procedure
to be compiled into a system that already contains many megabytes of
compiled code, in a fraction of a second. That is because the compiling
and linking are all done within the system: the system does not have to
be re-built.

(d) For certain applications (e.g. like a word processor or other
interactive tool) the development can be unending in that some users
will want to be able to produce their own extensions to the original
application. Such software is never complete. I call it ``very soft
ware''. Because Pop-11 uses an incremental compiler which is part of the
run-time system, it is possible for an application implemented in Pop-11
to support indefinite extension and tailoring by end-users. For example
the Poplog editor VED is implemented in Pop-11 and many users have used
that fact to implement their own extensions for a variety of different

(e) It is available on a variety of Unix platforms and on VAX and Alpha
VMS systems, and provides a common interface to the file system and many
system calls across these platforms. It can be run on PCs under the
Linux operating system (A port to Windows NT is in progress.)

(f) It has a number of unusual features that facilitate certain sorts of
programming. These features include the use of an "open stack" for
passing arguments and results, which makes it very easy, for example, to
write procedures that take variable numbers of arguments or produce
variable numbers of results, partial application, which supports the
construction of very efficient "closures" and memo-functions, dynamic
lists, which implement a form of lazy evaluation, the process mechanism
which supports the modelling of concurrent systems, the code-planting
procedures that support the rapid development of new immediately
portable languages, the choice of dynamic or lexical scoping of
variables (a feature shared with Common Lisp), and the "dynamic local
expression" facility "dlocal", which automatic switching of environments
in different contexts, including "exit actions" for procedures. A
feature that Pop-11 shares with Scheme and many functional languages is
that procedures (functions) are 'first class' objects. That is they can
not only be run, but can also be treated like all other data-types,
assigned to variables, stored in data structures, and manipulated in
various ways, including combining them with other data to form new
procedures at run time (sometimes referred to as 'closures'. This
capability makes possible some very elegant forms of programs, such as
are described (using Scheme) in the well known book 'Structure and
Interpretation of Computer Programs' by Abelson and Sussman.

(g) The automatic store management system provides garbage collection of
structures (including compiled procedures, device records, arrays, etc.)
that are no longer needed by the running program. This both reduces the
task of the programmer in working out which structures are no longer
needed, and also prevents erroneous deallocation of memory that is still
in use. Thus both wasteful "leaking" of memory and obscure bugs due to
deallocation errors are avoided. The garbage collector in Poplog Pop-11
is particularly fast, so that people using it for interactive purposes
will often not even notice when garbage collections occur. (This depends
on the size of process, the loading on the machine, and whether
there is enough memory to prevent paging.)

(h) The interface to the X window system is particularly sophisticated,
allowing externally developed X widget sets to be linked in dynamically,
and providing full support for interaction between Pop-11 and X, via
callbacks. Also the 'destroy property' mechanism in Pop-11 allows
special actions to be associated with objects that are to be run if ever
those objects become garbage. That means that a window on the screen can
be automatically removed when an object is no longer needed, without the
programmer having to write code to check whether the object is still

(i) There are facilities for compiling stand-alone applications without
the full development environment. This uses the tool POPC that is also
used for building Poplog itself. For information about this see the

(j) There is an ``autoloadable library'' mechanism based on search lists
that makes it convenient for groups of users or individual users to have
libraries that extend the facilities in Pop-11 and which are
automatically compiled when needed. This is particularly useful for
groups of programmers working together on a project and for students
doing the same course.

(k) Pop-11 allows frequently used libraries to be pre-compiled in a
``saved image'' which allows rapid startup and can be shared between
different users. These saved images can even be mapped into shared
memory if they contain no writable elements. Further saved images can be
layered. In fact the language extensions for Prolog, Common Lisp and ML
are implemented as shareable saved images. Users can them build
additional saved images on top of those. (Note: Saved images cannot be
built in the FREE version of Linux Poplog.)

These features make Pop-11 particularly appropriate for many of the
complex problems of Artificial Intelligence, Cognitive Science or
Human-machine interaction where it is difficult to be sure in advance
what the nature of the problem is because our understanding of human
beings is too limited and people vary too much, and where the modelling
work requires rich knowledge stores, powerful inference mechanisms,
rapid construction of complex temporary structures (e.g. during
planning, or visual perception), and complex interactions between
concurrent systems.

The closest comparable language with similar characteristics is Common
Lisp, though many people (not all) find the Pascal-like syntax of Pop-11
easier to learn than Lisp's very terse syntax using very few syntax
words. For the same reason some people find Pop-11 programs more
maintainable. On several occasions I have met commercial programmers who
were used to other languages, like Pascal, Fortran or C, and who had
tried to learn Lisp and disliked its syntax immensely. By contrast when
they tried to learn Pop-11 they found that it offered them a smooth
transition from familiar programming constructs to more sophisticated AI
programming. After that they found Lisp easier to learn.

Not everyone agrees on which is easier to learn or use: so it is good
that both Pop-11 and Lisp should be available.

Other AI languages such as Prolog share some of the features of Pop-11
and Lisp, including automatic garbage collection and rapid incremental
development and testing, though the logic based style of Prolog can for
certain problems be more clumsy than the corresponding functional or
imperative style of Lisp or Pop-11. However Prolog is excellent for
applications where the logical semantics, the unifier and the built in
backtracking mechanisms are needed, and often allows very economical and
powerful solutions to complex problems.

One advantage of Poplog Pop-11 is that its code-planting mechanisms,
support implementation of incremental compilers for the other AI
languages so that applications requiring a mixed language style can be
supported easily. These mechanisms were used to implement the other
Poplog languages, namely Prolog, Lisp and Standard ML.

A user of one of these languages can use the interface to Pop-11 to
access additional features of Poplog, or for sub-problems where a
different style of language is more appropriate. Thus a Prolog
programmer can use calls to Pop-11 for interaction with the X window
system and graphics.

In some cases it is possible to develop a complex application in Pop-11,
or another rapid-prototyping language, as part of the process of finding
out exactly what the problems are and trying out alternative solutions
in the quickest possible way, and then re-implement the final version in
a different language that enables programs to run faster or use more
space, or be more easily ported to a variety of machines and operating
systems. For example, I once had to produce a package to control the
direction of printing of a daisy-wheel printer in order to minimise
print head movements. I first developed and tested the program in
Pop-11, and then rewrote it in C. The whole process would have taken far
longer had I had to use C throughout. Similarly some AI researchers
develop low level procedures for analysing images or speech using Pop-11
and then rewrite them in C when they have stabilised.

Like LISP, Pop-11 can be used either as a main programming language
or as an efficient systems language on which to build higher level
tools, such as a logic programming language or an expert-system

Poplog allows programs in Pop-11 and Prolog to be combined, where a
mixed style of programming is desirable. Programs written in
conventional languages (e.g. Pascal, Fortran, or C) may be linked into
Poplog. For details see the online documentation files HELP EXTERNAL
and REF EXTERNAL, and other files referred to therein.

For sophisticated programmers, the online file REF PROLOG explains the
interface between Prolog and Pop-11. For others, HELP PLOGINPOP
describes some utilities for mixing the languages and REF SUBSYSTEM
describes a more general mechanism.

-- Pop-11 as a teaching language --------------------------------------

For teaching purposes, Pop-11 enables students  to explore a wide range
of programming styles (imperative, functional, object oriented, logical,
pattern-based, rule-based, event driven, concurrent). Having learnt the
various styles supported by Pop-11, they can use the same environment to
branch out and learn the other Poplog languages, and learn how to design
and implement new languages, which can then be tested in a rich
supporting environment.

Moreover, the online documentation and program libraries provide a
framework in which students can explore concepts and techniques at a
pace that is matched to their own abilities.  For absolute beginners the
existence of very powerful built in facilities such as automatic garbage
collection, syntax for list structures, a pattern matcher and the
database library, all contribute to an environment in which interesting
and challenging projects can be tackled at a much earlier stage than is
possible with most languages.

The interface to X also makes it possible quickly to add powerful
graphical capabilities and menu-driven interactions. These features also
make it relatively easy for teachers to produce powerful demonstration
packages with which students can interact in order to gain a good
understanding of a variety of concepts and techniques. The new "HIP"
system (Hypermedia in Poplog), available from Integral Solutions Ltd
extends these capabilities, by providing tools for developing
multi-media applications, including images and sound.

Already there are powerful teaching libraries developed at the
Universities of Sussex, Reading, Leeds, Oxford, Birmingham, and possibly
elsewhere. It is expected that these will grow.

In particular the 'incremental compiler' and integrated screen editor
VED which is part of the Poplog Pop-11 system can not only speed up
program development and testing time, but also provide a convenient
interface to sophisticated online documentation and browsing
facilities, supporting different libraries for different groups of

In some ways Pop-11 in Poplog is similar to the best LISP systems,
though many LISP systems seem to require far more memory. The richer,
more redundant, syntax seems to make Pop-11 a more suitable first
teaching language than LISP. However, this is an issue on which endless
disagreement is to be expected, since there will always be those who
think that a simpler syntax is preferable for students. My own view is
that the syntactic requirements for ease of compilation and use by a
computer are totally different from the requirements for easy learning
and use by humans. This is why natural languages, with all their
complexity, irregularity, and redundancy, are better suited to the human
brain than most existing programming languages. Increasingly we should
develop languages whose syntax is suited to the task and to human users
rather than to designers of compilers or machines.

The fact that Pop-11 is not as widely used as other languages can
discourage some teachers from using it. However, I would argue that for
many learners the most important thing is that they develop their
understanding of computing concepts and learn how to think about complex
information manipulation processes in as friendly and supportive an
environment as possible. After that they can use the ideas better in
more primitive languages, such as C or C++ than if they had started only
with those languages. For a short course intended to train commercial
programmers, for limited tasks, Pop-11 would not be suitable. For
university level instruction, where the concepts are more important than
the syntax, and where there is scope for a great deal of student
directed learning and exploration of new ideas, Pop-11 in the Poplog
environment is extremely suitable, including those students who will
subsequently not be writing code but who need to have a deep
understanding of what computing systems are and what they can and cannot
easily be made to do. This would apply to managers, computer
journalists, systems analysts, people concerned with marketing software
or supporting users, and so on. Program writers are a relatively small
subset of those involved in the production, distribution, selection and
use of good software systems, a point that is not always understood by

-- Disadvantages of Pop-11 --------------------------------------------

Arguments about the relative merits of different languages can get very
heated and are often extremely subjective. However, just as there are
some objectively testable advantages to Pop-11 there are also some

(a) It is not available on PCs, except on relatively powerful PCs
running the Linux operating system (a version of Unix). A port of Poplog
to Windows NT port has been started but by January 1996 had not been
completed. (For up to date information, please contact Integral
Solutions Ltd., address above.) The is a Mac implementation of of
Pop-11, known as Alphapop, previously available from Cognitive
Applications Ltd, does not run under recent versions of the Mac
operating system.

(b) Because of its size and the supported machine types, Pop-11 is not
recommended for small embedded systems. However, it can be used to
implement cross compilers for embedded systems.

(c) The complex, user-extendable, syntax makes it extremely difficult to
automate the analysis of Pop-11 programs. For applications where
mathematical analysis of software is a requirement, e.g. flight control
systems, Pop-11, would not be suitable, though it could be used for
rapidly developing prototypes prior to final implementation, and it
could support expert-systems acting alongside the critical software,
e.g. to analyse data or make heuristic suggestions that would not be
adopted unless checked by a more rigorous system, or a person.

(d) Because of the long history of its development and our inability in
the early days (e.g. 1970s and early 1980s) to anticipate some of the
extensions that would be required several years later, there were some
unfortunate choices of identifier names that are hard to repair without
annoying existing users, and several aspects of the syntax of Pop-11
that are messy. Up to Poplog version 15, the default for procedure
formal parameters and output variables was, unfortunately, to declare
them as "vars" not "lvars" (lexical variables). This has now been
remedied, though a special compile_mode is available to restore earlier

(e) The undisciplined use of the open stack in Pop-11 can lead to
obscure run-time errors, even though it is often very useful.

(f) Some users find the redundant syntax of Pop-11 too verbose,
especially users with a strong mathematical bent, many of whom prefer
the elegance and economy of Lisp, supported by a powerful editor.

(g) The language is not very widely used, though there are pockets of
enthusiasm in various countries, both among academics and among
commercial users, and the main distributor, Integral Solutions Ltd has
managed to continue growing despite the very severe recession in recent

(h) Like Common Lisp, Pop-11 is a very rich and complex language.
Becoming fluent in the use of all of its capabilities can take a long
time (e.g. a year or more), though many of its users have found the
learning well worth while.

(i) Because Pop-11 has so many features it is possible for beginners
inadvertently to trip over more advanced features and then be mystified
and discouraged. This can be a disadvantage, though in a good teaching
environment it is also a source of important new learning.

(j) Because Pop-11 is compiled (for speed) rather than interpreted, it
is not possible to produce such sophisticated run-time debugging tools
as for those versions of Lisp that have an interpreter. However, this
disadvantage has recently been reduced considerably by the development
of new source-level debugging tools, by Simon Nichols and Robert Duncan,
documented in the online HELP DEBUGGER file.

-- A brief history of Pop-11 ------------------------------------------

Pop-11 is derived from POP-2, a language originally invented at
Edinburgh University for research in Artificial Intelligence. POP-2 was
described in

    R. M. Burstall, J. S. Collins and R. J. Popplestone
    Edinburgh University Press, 1971

Additional information about the history and philosophy of the POP
family of languages can be found in

    POP-11 Comes of Age: The Advancement of an AI Programming Language
    ed J.A.D.W. Anderson,
    Ellis Horwood,  1989.

This includes a long paper by the author of this Primer on the
development of Pop-11 at Sussex University.

The original version of POP ran on an Elliot 4130 computer and is now
obsolete. A later version was implemented on the DEC-10 computer running
the TOPS-10 operating system in Edinburgh. Julian Davies, also at
Edinburgh at that time, implemented an improved version, called POP-10,
in the early seventies. Yet another version for the DEC-10 called
WPOP (WonderPOP), was implemented by Robert Rae, with some help from
Allan Ramsay, and became available in the late seventies. It was also
transferred to the TOPS-20 operating system, and was quite widely used
for AI research for a while.

Steve Hardy implemented the first version of Pop-11 in 1975. This was a
small system which ran on PDP-11/40 computers under the UNIX operating
system. It did not include all of POP-2, but had some extra features
instead, designed to make it easier to use, especially for teaching
purposes. In particular, the pattern matcher, the autoloadable library
mechanism and a large collection of help and teaching files made it
especially useful for educational purposes, and several Universities and
one school in the UK (Marlborough College) used it for some time in the
late 70s and early 80s. This version of Pop-11 is now obsolete, and
probably unobtainable, though for a while the a version for PDP-11
computers running UNIX version 7 was available from Nottingham
University Psychology Department.

The second version of Pop-11, available only since October 1981, and
mostly implemented by John Gibson, is much larger and has far more
facilities. It includes all the features of POP-2 and many more.
However, it requires a computer with a large, 'flat' address space, well
over a megabyte in size. We correctly predicted in the early 1980s that
as the price of hardware fell, it would soon be possible for computers
in the home, in the office, and in schools to run programs of the size
of the Pop-11 system, and larger, providing a very powerful tool for
program development, or for teaching computing. Unfortunately, the
horrors of MSDOS and the PC environment preventing porting, as we lacked
the resources to do that.

The version of Pop-11 described here, which is available only as part of
Poplog, runs on VAX computers under VMS and a variety of different
computers running versions of the Unix operating system, e.g.
Sun(SPARC), HP, Silicon Graphics, Sequent Symmetry, DECStation,
VAX-ULtrix, MIPS, and PC running Unix.

-- The Poplog editor VED ----------------------------------------------

Poplog contains a powerful screen editor VED, similar in some respects
to EMACS, an editor developed at MIT. Compared with most editors VED
considerably reduces the effort involved in developing and testing
programs, mainly because it is so closely linked in to the Poplog system
and its online documentation files. Emacs can be set up to be almost as
useful, though it is not so closely integrated with Poplog.

Besides being useful for developing and testing software, VED can also
be used for writing documentation. It includes special facilities for
producing online documentation (like the online version of this
file). Moreover, it can easily be used for text manipulation. I wrote
a fairly simple VED program to transform the ascii version of this file
into Latex, to facilitate production of a more readable printed version.

(For more details on online documentation in VED, see HELP DOCUMENTATION)

Details of the use of VED vary according to which terminals are
available, so this document will not include information about the
editor. If you have access to a computer running Poplog you should ask
for advice. There should be a 'TEACH file' available which will show you
how to use the editor on the terminals which are in use at your site.
You will almost certainly need a chart showing how VED's operations are
mapped onto function keys available on your keyboard. At the University
of Birmingham we also use the Pop-11 interface to the X window system to
provide an extendable menu-driven interface to VED, available freely to
Poplog users on request.

XVED is a version of VED that supports multiple windows, one for each
file in the editor, and additional facilities for driving the editor
using menus and the mouse. (See HELP XVED)

Early versions of VED were often criticised for not including a regular
expression matcher, available in most other Unix editors (ed, vi,
emacs). This has been remedied since Poplog Version 14.5

-- Interactive programming --------------------------------------------

An important feature of Pop-11 is its inherent ability to be used in
an 'on-line' mode. This means that commands in the language can be
given at any time: there is no division between a phase in which you
specify a program which is to be compiled, and a phase in which your
programs run. You can interleave additions to the program and
commands to run the program, using the same language and the same
running process for both. Thus you can define a procedure, then run
it to test it, then define a new procedure using the first one, then
run it, then define new procedures, etc. If you find a procedure
needs to be changed you can edit it without leaving Pop-11 and the
new version will immediately be available without re-compiling other
procedures or re-linking your program. (Recompilation will be
required if the procedure had been declared as a constant for

To make all this possible Pop-11 contains an 'incremental compiler'
which is part of the system when programs are running. In most
languages the compiler is a separate program which runs to transform
your program file into a file called an object file, and then you have
to link the object files together with any libraries used, and then
finally you can start running the program. Pop-11 (like the other Poplog
languages) makes this multi-stage process unnecessary. You can directly
compile and run extensions to your program at any time, because the
compiler remains a part of the running system.

You can also recompile a procedure, e.g. after extending it in some way.
Except where procedure identifiers have been declared as constant, the
newly compiled procedure will automatically be accessed by all
previously compiled code, and the the space taken by the previous
version of the procedure will be reclaimed automatically by the garbage

The use of the incremental compiler enables development and testing to
be far more rapid than with most non-AI languages, such as such as
Pascal, Fortran, C and C++. Some languages with an interpreter offer a
similar facility (e.g. BASIC, some versions of LISP). The advantage of
an incremental compiler over an interpreter is that it produces machine
code, so that programs run faster. The advantage of using an interpreter
is that it reads in programs faster, and can provide more flexible
development aids.

Some argue that the interactive method of developing programs is
undisciplined. They assume that the best way to use a computer to
solve a problem is to:

    (a) specify the problem,
    (b) devise an algorithm to solve the problem
    (c) prepare a program embodying the algorithm
    (d) compile the program
    (e) run the program
    (f) go back to b or c to fix 'bugs'

This method of using a computer is ideal when

    (1) the problem is well defined
    (2) the information structures required can be designed easily
    (3) the algorithms for operating on them can be devised easily
    (4) the developer never makes a programming mistake
    (5) the developer is a perfect typist
    (6) the process of development never leads to a modification
        of the problem

If the last three conditions are not met then a slow and expensive
iteration of steps (c) to (f) must be performed. Often even the first
three conditions are not met. The problem may be well defined but so
complex that initial algorithms do not cover all cases, or include
inconsistencies or other errors, so that development and testing
involves a slow iteration through steps (b) to (f). Sometimes even the
problem is not very well defined, for instance where requirements for a
program can only be developed as a result of running a prototype in the
intended environment. In that case the iteration even involves step (a).

Whilst conditions (1) to (6) can be met for some cases (such as routine
data processing) they cannot be met for complex problems, especially
problems involving "user-friendly" interfaces for people, since it is
very difficult to find out what people will find friendly. Asking them
is no good, since people cannot tell in advance what they will find
awkward or convenient. Thus a system that allows a prototype to be built
and then rapidly modified in order to try out variants on real users,
can lead to far better designs than those that do not support
incremental development.

Incremental development can also be particularly helpful for beginners
who do not have the experience to understand problems in advance of
doing the design. So the use of testable and modifiable prototypes can
be a powerful learning tool.

The use of an incremental compiler (or interpreter) with an integrated
editor and other program development aids can enormously speed up the
process of producing and testing initial draft versions of programs.
Since each new portion of program can be tested quickly before the next
portion is added, without a slow process of re-linking, an environment
like that of Poplog can encourage more thorough testing, leading to more
reliable programs, as well as saving programmer effort. This is why many
software developers now favour 'Rapid Prototyping' for solving complex
and ill-defined problems.

A consequence of using an incremental compiler is that there is not
really any such thing as a program in Pop-11. In many languages a
program consists of a set of procedure or function definitions
(explained below) together with some commands to the computer, which
make use of those definitions; and the whole program has to be specified
completely before any commands can be obeyed. In an interactive language
like Pop-11, you can go on indefinitely interleaving running commands
and defining new procedures or modifying old ones, usually working
entirely within an editor that communicates with the compiler. The
commands and procedure definitions may either be typed in at the
terminal or read in from a previously constructed file.

Pop-11 does not require you to separate your data and your programs.
Data-structures such as lists, strings, vectors and arrays can be
created with their contents in the same files as the procedures that use
them. For example the pattern matching facilities in Pop-11 use lists as
patterns. These pattern lists can be embedded in procedure definitions,
using expressions like

    if sentence matches [the ??nounphrase1 ?verb the ??nounphrase2] then

As we shall see, this can make it easy to write down complex
instructions and also makes it possible to mix factual assertions with
other kinds of programming constructs, e.g. using commands like:

    add([boat at ^place])

to store information in a Pop-11 database that other commands can then

-- Declarative and procedural languages ---------------------------

In some languages (e.g. Prolog) there are also ASSERTIONS, which can
be used to give the computer information, e.g. the information

    tom is the father of dick or, in Prolog:


In some languages it is possible to store generalisations, or
inference rules, like

    a father is a male parent, or
    x is the father of y if x is a parent of y and x is male,

or, in Prolog:


Such languages also allow the construction of QUESTIONS, such as

    who is the father of joe?

or, in Prolog:

    ?- father(X,joe).

These are examples of the 'declarative' style of programming.

Pop-11 is not based primarily on declarative programming, but there is a
subset, called the 'database package' which provides something like
assertions and questions, and uses procedures like 'add' mentioned above
and others called remove, lookup, present, allpresent, foreach and
forevery, all described below. (In the Birmingham Poprulebase package
the database is re-implemented in a way that provides more efficient

This Pop-11 database package is built on more primitive facilities,
described in the next few chapters. A Prolog-like extension to the
database was implemented by Steve Hardy in the library described in the
online HELP SUPER file.

A system based on the database, designed for building expert systems or
problem solving programs based on "condition-action" rules can be found
in the "newpsys" library (pronounced "newpeesys"), described in the
online file HELP NEWPSYS.

NEWPSYS has been made obsolete by the POPRULEBASE library available from
the Birmingham Poplog FTP directory, as explained in the 1999 Preface,

Finally, the Prolog subsystem of Poplog is available to Pop-11
programmers when needed for a richer style of declarative programming.

-- The need for procedures --------------------------------------------

Some advocates of declarative languages suggest that logic programming
should be used for all tasks. The idea is that one should be able to
state WHAT the problem is and leave it to the computer to figure out HOW
to solve it. Thus all one needs is assertions general facts, and
questions, and not imperatives saying what to do when.

It is very natural, however, for people to think in terms of
instructions as well as in terms of assertions and inference rules, and
that is one reason why we have provided both in Poplog. For example, if
someone asks you the way to the station, you will not usually succeed in
communicating if you give lots of facts about where the station is
located. Instead you will probably give some instructions:

    go down that road until you come to the post office,
    then turn left and.....etc

Of course, if the questioner knows the town very well, it may
suffice for him to be told:

    the station is two blocks north of the post office.

In order to make use of that information he will have to find some way
of translating that into a plan for getting from where he is to the post
office. The plan will contain a set of instructions about what to do
when. Similarly, if you want the computer to do something other than
tell you the answers to factual questions you often need to be able to
give it instructions.

Even if all you are interested in is storing information and getting
answers to questions relating to the information, someone must first
tell the computer how to store information, and how to respond to
questions. Thus instructions of some sort are required as the basis even
for a purely declarative system.

-- Monitors -----------------------------------------------------------

Another thing missing from Pop-11 (and many other languages) is the
concept of a 'monitor' or 'demon': a program which waits until some
condition becomes true, and then immediately takes control and
carries out its instructions. Thus you cannot say in Pop-11
something like

   'if ever the value of X becomes 99 then print out a warning'.

It is possible, using advanced facilities in Pop-11, to extend the
language to allow such things. In particular Pop-11's interface to the X
window system allows such monitors, or demons, know as "event handlers"
to be attached to graphical windows or control panels. It is possible to
attach a Pop-11 "call-back" procedure to a screen object. The procedure
is then run whenever the user performs an action involving that object
with the mouse, e.g. pointing at the object and clicking a mouse button.

There are also a few special purpose monitors built into Pop-11. For
instance there is a procedure which is run whenever an error occurs, and
the user can define that to take appropriate action. Also there is a
user-definable procedure called 'interrupt' which is run whenever the
user types an interrupt character at the terminal (usually CTRL-C).
Another is the user-definable procedure pop_after_gc which runs whenever
an automatic garbage collection has occurred.

Further, it is possible to attach a monitor to a variable in Pop-11 by
declaring the variable as "active". This means that a procedure can be
associated with it which is run whenever the value is accessed, and
another procedure which is run whenever the value is updated. For more
information see the online file HELP ACTIVE_VARIABLES

Another feature that makes it possible to monitor events is the fact
that access to data-structures goes via procedures rather than via
compiled offsets. This means that by re-defining the procedures for
accessing particular data-structures one can insert "traps" that are
activated whenever the contents are examined, or changed. The
user-definable "methods" supported by the Objectclass package also
provide monitor-like facilities.

-- TEACH files and the VED editor -------------------------------

This document is not intended for absolute beginners working without any
help. Having a working Pop-11 system and the VED editor makes it much
easier to learn the language by trying out the examples and varying

Many beginners do best by working on mini-projects at a computer
terminal. After a few weeks of practical experience, such people may
find this document useful for revision purposes, and as a way of
learning more about Pop-11 more quickly than by working through
interactive 'TEACH files'. In case the reader has access to a full
Poplog system, brief information about the online files is presented

TEACH files are read using the editor, invoked by the TEACH command.
Usually the first command is

        teach teach

which introduces the use of VED reading teach files.

Since the editor allows two (or on some terminals more) files to be
visible at once on the screen it is often convenient to learn about
programming by having a teach file and a user file visible at the
same time. The teach files give information, examples of programs,
and suggestions for practical exercises.

The following interactive 'TEACH' files, provided with Poplog
introduce the use of the editor VED, and its role in developing

        TEACH VED
        TEACH MARK
        TEACH LMR   (=Load Marked Range)

For an absolute beginner, with no experience of programming, the
following TEACH files provide a succession of mini-projects which
introduce both AI concepts and Pop-11 programming techniques:

        TEACH RIVER2

More general introductions to Pop-11 facilities are provided by
additional teach files, many of whose contents overlap considerably with
this primer. An overview of currently available TEACH files is provided


There are usually additional files available from Universities that use
Poplog for teaching, e.g. Sussex and Birmingham. E.g. teach files from
Birmingham are available via ftp at

-- The  HELP command -----------------------------------------------

The VED 'help' command invokes files which more compact descriptions of
Pop-11 facilities, without lengthy tutorial introductions. The
following gives an overview of help files:


There are many hundreds of help files giving information about error
messages, system utilities, editor procedures, system concepts, syntax,
data structures, arithmetic, the pattern matcher, library facilities
(e.g. expert system tools), Poplog process initialisation, how to
tailor the system, etc. There are also 'news' files summarising the
main recent developments.

For the Prolog and Lisp subsystems there are also collections of help
files, though not as many.

-- The REF command ------------------------------------------------

The VED 'ref' command may be used to access Poplog files which give a
definitive description of the Pop-11 language, and its main system
utilities. These files are definitely not intended for beginners, and
many of them define quite sophisticated concepts quite tersely. The file


gives an overview of the main REF files for Pop-11, VED and the
external interface. It is summarised at the end of this primer. There
are additional REF files available for various sub-systems, for instance
REF files for the X interface facilities, REF files for Objectclass, and
so on.

The rest of this introduction is a summary of the core facilities
in Pop-11. Many references will be given to online documentation
which describes more advanced features, or which give more detailed
information for experienced programmers. A full description of Pop-11
would require a document several times the size of this one.

We start in the next chapter by describing in some detail
an example which illustrates how to use Pop-11 as a list-processing
language with a fairly conventional syntax. Later chapters provide more
general definitions of the language and some of its most useful


This chapter presents a simple Pop-11 program worked out in some detail
in order to give a feel for some of the structures in the language,
including the definition of procedures, and the use of lists,
conditionals and looping constructs.

Not all the details will be explained fully in this chapter. More
general and complete explanations are given in later chapters. Ideally
the reader should try out the example on a computer running Poplog, but,
for readers with some programming experience, it should be intelligible
without that. If some of the examples use a notation which is hard to
understand, reading later chapters should make things clearer.

-- POP-11 facilities illustrated in this chapter ----------------------

This chapter will introduce a number of concepts, including these:

o the difference between ``declarations'' which define something for
future use and ``imperatives'' that instruct some action

o declaring variables, both global and local

o defining named procedures that perform complex actions built out of
simpler actions.

o accessing values of variables and changing them

o constructing lists to store information about the world

o various operations on lists, including comparing them, searching them
and building new lists

o "atomic" data items which can be stored in lists or assigned to
variables, namely words, numbers and text strings

o arithmetic operations, e.g. used to compute areas and volumes from
dimensions of rooms

o various forms of syntax for giving the computer instructions,

    - running a procedure with some data and getting a result back
    - giving a sequence of explicit instructions to make up a complex
    - using a conditional expression which does a test before acting
    - a "loop" instruction which repeats some action until a "stopping
      condition" is reached

o The 'lexical' rules that define how Pop-11 breaks up program text into
separate items.

o the difference between syntax words, like "vars", "define", "if",
"->", "for", "then", "do", "enddefine", and variables which store data.

o the difference between procedures that print something out for the
user to see, and procedures that produce a result internally to be
assigned to variables or used by other procedures.

o the difference between 'built in' procedures that are part of the
Pop-11 language, such as

    - the printing procedure "pr", and
    - the arithmetical operations "+" (addition) "*" (multiplication)

and the 'user-defined' procedures created out of the built in ones, such
as the procedure display_data, defined below.

o The use of comments in program code, starting with ";;;"

o "Declaring variable" warning messages

o Error messages printed out when a running program finds a mistake

o Incremental development and testing of a package of related

If you are an experienced programmer the concepts will be familiar,
though the syntax may be new. For novice programmers the concepts and
the syntax will be new. Later chapters will introduce concepts that
will be new even for many experienced programmers.

-- The ROOMS DATABASE Example -----------------------------------------

Suppose you have the dimensions of a set of five rooms in a building
whose names are "room1", "room2", ... "room5".

For each room you have measured the length, the breadth and the height.

Suppose you want to be able to answer a variety of questions, for

o questions about individual named rooms, e.g. questions  about the
perimeter, the total floor area, or total volume.

o questions about all the rooms

o questions about all the rooms that satisfy a certain condition (e.g.
area greater than some given number).

Those are fairly easy problems to solve in many programming languages.
We'll show how to do them simply as a way of introducing the concepts
and techniques of Pop-11.

-- Preliminary analysis -----------------------------------------------

First you have to find a way to represent the initial information, and
then you have to define procedures for operating on that information in
order to answer the questions.

There are many ways you can express this sort of information. Below
you'll see how to give the room dimensions to Pop-11 in the form of a
list of lists. The procedures for answering the questions then have to
use operations on lists.

The procedures to be defined in this introduction will each have a
header line, which indicates the name of each procedure, the 'arguments'
required by the procedure (i.e. data for it to operate on), and whether
the procedure produces a 'result' for use by other procedures. The
latter may have an arrow "->" in the header followed by a variable
called an 'output variable'. An example is this procedure heading, which
will be found below.

    define perim(len, breadth) -> total;

It defines a procedure called "perim" which takes in two arguments (the
value of the variable len and the value of the variable breadth) and
then it returns one result, the value of the variable total. Some
procedures do not have "->" and a following output variable (result

Some of the procedures will use other procedures. For instance,
display_data will use display_room, and display_room will use the
procedures perim, area, volume. All these procedures will be defined
below. If you have access to Poplog with an online version of this
document you will be able to mark and load the definitions and test out
the examples.

The procedures to be defined are summarised thus:

        Given a list of lists of information about rooms print out
        general facts about each one

        Given a list containing information about just one room
        print out information about its name, its perimeter, its
        area and its volume.

    perim(len, breadth) -> total
    area(len, breadth) -> total
    volume(len, breadth, height) -> total
        The above three take in numbers corresponding to measurements
        of a particular room, compute a new number, and return it
        as a result. (They leave it on the Pop-11 stack, instead of
        printing it out.)

    findroom(name, list_of_lists) -> data
        Given the name of a room and list of information about all rooms
        find the data about the named room and return it as a result.

    find_and_show(name, list_of_lists)
        Like the previous procedure, but print out the information
        instead of returning it as a result.

    find_and_show_all(namelist, list_of_lists)
        Do the same not just for one named room but for the rooms
        whose names happen to be in the list namelist

-- . Representing room dimensions using a list of lists

A major design decision for any program is (a) which information has to
be represented in the program and (b) how it should be represented.

We assume that for each room we have four items of information, namely
its name, in the form of a Pop-11 word, and three numbers representing
its length its breadth and its height.

We shall represent individual rooms with a four element list, thus:

     [room2 16 11 8]
    [<name> <length> <breadth> <height>]

Note that unlike Prolog and some other languages, Pop-11 does not always
require items in a list expression to be separated by commas. Later
we'll see contexts where commas are needed.

Then we can represent all the rooms by means of a list of four element
lists of the form shown above. Note that we are using position in the
list to indicate the difference between length, breadth and height. We
could have used a more verbose representation, such as

     [room2 [length 16] [breadth 11] [height 8]]
     [room2 [breadth 11] [height 8] [length 16]]

This freer format (called an 'association list') would have allowed the
information to be presented in a more flexible form, with associations
stored in any order, but would take up more space and would require more
complex processing, so for now we'll use the simpler representation.

This is how you might give Pop-11 information about the set of rooms.
First we use the word "vars" to tell Pop-11 to declare a "global"
variable, called "rooms". We sometimes use the more accurate word
"identifier" rather than "variable". But for now we'll ignore the

    global vars rooms;

Then we construct a list of lists, giving for each room its length,
breadth and height in feet (or whatever units we have chosen to work
with). Finally we use the assignment arrow "->" to ask Pop-11 to
"assign" the list to the variable "rooms".

    [[room1 14 12 8]
     [room2 16 11 8]
     [room3 15 11 8]
     [room4 10  9 9]
     [room5 21 11 9]] -> rooms;

In Pop-11 it is possible to combine the assignment and the declaration
into an 'initialised variable declaration', thus:

    global vars rooms =
    [[room1 14 12 8]
     [room2 16 11 8]
     [room3 15 11 8]
     [room4 10  9 9]
     [room5 21 11 9]];

Note that Pop-11 instructions can go over several lines, and a
semi-colon ";" is used to terminate most declarations and most
imperative instructions.

The above creates a very simple "database" of information about five
rooms in the form of a list of lists of words and numbers.

The occurrence of a pair of square brackets [ .... ] tells Pop-11 that a
list is to be constructed. Nesting the brackets tells Pop-11 to make a
list of lists, as in this example.

If you are using VED you could mark that example, starting from the
"vars" line down to the second semi-colon, then give the "load marked
range" (LMR) command. (See TEACH LMR). Nothing visible will happen when
you have done that. But it will enable you to do the examples that come
later. You can check that it has been compiled by giving the command to
print the value of the variable "rooms" thus:

    rooms ==>

This should produce the following printout:

    ** [[room1 14 12 8]
        [room2 16 11 8]
        [room3 15 11 8]
        [room4 10 9 9]
        [room5 21 11 9]]

The two asterisks are printed by the Pop-11 print arrows "==>" and "=>",
the former being used to produce neater formatting when printing long
lists or other structures. "==>" prints only one (possibly complex) item
at a time, unlike "=>" which can all the items that have been left on
the Pop-11 "user stack", described below, and which does not format
lists. This is how "=>" would print out the list

    rooms ==>
    ** [[room1 14 12 8] [room2 16 11 8] [room3 15 11 8] [room4 10 9 9]
        [room5 21 11 9]]

-- -- Lexical rules for reading programs

Pop-11 (like any other textual programming language) has some built in
"lexical analysis" rules, which specify how to analyse a sequence of
characters into "text items" or "lexical items", from which a program is
constructed. Normally the text items are words, numbers or strings. In
this example we have:

    words like "room1", "room2" etc.,
    words that are made of a single square bracket, "[" or "]",


    numbers, 10, 12, 8 etc.

The lexical analysis rules of Pop-11 state that a word starting with a
letter may include a number, so that "room1" is accepted as a single
word, not a word and a number, whereas "1room" would be split into a
number and a word, i.e. 1 and "room". Many expressions typed without
spaces will be broken into separate text items. For example:

    x1+33             will be broken into:  x1  +  3

    member(x, list)   will be broken into: member  (  x ,  list )

A later chapter will give more on lexical rules in Pop-11.

-- . Printing out the value of "rooms"

We have declared "rooms" as a GLOBAL variable. That is, it is not
declared inside any procedure, unlike some of the variables to be
introduced below. This means that it can be referred to at any time,
and its value altered, or used, or printed out. E.g. we can give a
command to print it out, using the 'pretty-print' arrow ==>, thus:

    rooms ==>

If you are using VED you can get that command obeyed by marking the
line and then giving the load marked range command (or pressing the
LOADLINE key). The computer then prints out the value of the variable
"rooms", something like this (where the two asterisks are produced by
the print arrow "==>".

    ** [[room1 10 12 8]
        [room2 6 11 8]
        [room3 15 11 8]
        [room4 10 12 9]
        [room5 21 11 9]]

-- . Defining procedure display_data

Let's start by defining a master procedure, called "display_data", which
takes in a list of lists like that above, then for each room extracts
the name and the three numbers representing the length, the breadth and
the height, and then prints out the name followed by the perimeter, area
and volume. So for room3 it might print out something like:

    Room 3, length 15, breadth 11, height 8, ..... etc.

If we already had a procedure called "display_room" that took in a list

    [room3 15 11 8]

to print out the information regarding room3, then we could repeatedly
use that procedure in display_data to print out information about each

Using Pop-11 we could express this as follows:

We might define define display_data as follows, using two 'local'
variables 'list_of_lists' to hold the complete list of information,
given as input to the procedure, and 'room' to refer to the data for
each room in turn:

    define display_data(list_of_lists);
        lvars room;
        pr('ROOM INFORMATION');
        ;;; Now print information about each room in the list
        for room in list_of_lists do

This tells Pop-11 that a new procedure is to be defined.

1. The first line says that the procedure is to be called
'display_data', and that when it runs it requires as input one object
which, within the procedure, will be called "list_of_lists". The object
can be called anything else in other places: the name, or variable,
list_of_lists is private, or 'local' to the procedure.

2. The second line declares the additional variable "room" as "lvars" (a
special kind of local variable called a lexical variable, explained in a
later chapter), The variable "room" will be used to refer in turn to the
list of information about each room. Since Poplog version 15 the input
variable "list_of_lists" in the procedure header will be automatically
declared as "lvars". In earlier versions it would default to "vars"
(explained below), unless explicitly declared otherwise.

3. The third line says that the string of characters 'ROOM INFORMATION'
should be printed out on the terminal.

4. The fourth line says that a "newline" should be printed. That simply
means that the next lot of printing will continue on a new line, instead
of to the right of 'INFORMATION'.

5. The next line, starting ";;;" is a comment, which is ignored by

6. The next three lines give a Pop-11 looping (or iterative) instruction
of the form:

        for <variable> in <list> do <actions> endfor

This tells Pop-11 that the <variable> should take a succession of values
from the elements of the <list>. For each value it should perform the
<actions> specified. When there are no more values, i.e. when it has got
to the end of the <list>, it should continue with the instructions
following "endfor".

In the definition above, this "for" instruction uses the local variable
'room' to refer to the first element of the list, then the second
element of the list, then the third element, etc. It does not matter how
long the list is each element will be referred to in turn, and the
repetition (or "iteration" as it is sometimes called) will continue as
long as necessary, till every room, i.e. every individual list in the
larger list_of_lists has been dealt with by display_room.

Thus when you design this procedure you do not need to know how many
rooms will be in the list.

The instruction in the middle of the "for loop"


states that the procedure called 'display_room' should be applied to
whatever is referred to by 'room'.

But display_room has not yet been defined, and we shall have to define
it later.

7. The next instruction tells Pop-11 to print a string made of a lot of

8. Finally the word "enddefine" merely signals the end of the procedure

Notice how the word "define" starts a procedure definition that ends
with "enddefine" and the word "for" starts a loop instruction that ends
with "endfor". There are many similar pairs of matching opening and
closing brackets in Pop-11. Most languages have such things but they
differ from one language to another in their details.

If you have access to Poplog you can "mark and load" the above
procedure. It will complain that you are using display_room, which has
not yet been defined. It will declare the variable automatically for
you, and print out

    ;;; DECLARING VARIABLE display_room

You can try to run display_data nevertheless, giving the command:


Try to mark and do that command. It will start by printing out

Then it will try to run the "for loop" and you will get an error message

    ;;; INVOLVING:  <undef display_room>
    ;;; ......

Later you will learn to read error messages. For now just note that this
one is produced because you tried to get the procedure display_data
run, but it failed because it used the procedure display_room which you
have not yet defined.

You can give display_room a temporary definition, thus, to suppress
the above message:

    define display_room(room);
        ;;; Note "room" is implicitly declared as "lvars room;"
        ;;; simply print the list room, followed by a new line


This is not very interesting, but it can be used to test the previous
definition. Note that each line beginning ";;;" is a 'comment' and will
be ignored by Pop-11.

If you are using VED, then first mark and load the above definition of
display_data, then re-try:


This time it should print out the following instead of the error

    [room1 14 12 8]
    [room2 16 11 8]
    [room3 15 11 8]
    [room4 10 9 9]
    [room5 21 11 9]

-- . Defining the subroutine display_room

We now have to define the procedure display_room to give more
interesting information. Look back at the list of information assigned
to the global variable 'rooms'. It was a list of lists. Each embedded
list contained the name of a room and three numbers, from which we want
to be able to compute things like perimeter and area of the room and
print them out.

So we define display_room to cope with such a four-element list, as its

Using the built in printing procedure 'pr' and three procedures we shall
define later, for computing perimeter, area and volume, we could
re-define the procedure display_room like this:

    define display_room(list);
        ;;; Print out information about the room given in list
        lvars list, room_name, room_length, room_width, room_height;
        list(1) -> room_name;
        list(2) -> room_length;
        list(3) -> room_width;
        list(4) -> room_height;
        pr('INFORMATION CONCERNING: '); pr(room_name);
        pr('  perimeter is: ');
        pr(perim(room_length, room_width));
        pr('  area is: ');
        pr(area(room_length, room_width));
        pr('  volume is: ');
        pr(volume(room_length, room_width, room_height));

(Note: this could be defined considerably more compactly, using more
powerful facilities, some of which will be explained below. The input
variable "list" has been explicitly included in the lvars declaration
list, though since Poplog Version 15 that is redundant.)

If you mark and load that procedure it will complain that you have
yet to define perim, area, and volume, but it will automatically declare
them for you


Let's look at the definition in detail. The first line says a new
procedure is being defined called 'display_room'. When it runs it must
be given one thing as input, which will be referred to as 'list' in the
procedure. The second line, starting ";;;" is a comment, ignored by

The next line declares the input variable list, and four additional
names of local variables to be used in the procedure:

        lvars list, room_name, room_length, room_width, room_height;

The next line is an imperative which says, take the first element in
the object called 'list' and assign it to the variable 'room_name',
which can then be used later in the procedure to refer to it:

        list(1) -> room_name;

Notice that the expression 'list(1)' can be used to refer to the
first element of a list. Similarly 'list(2)' refers to the second
element, and so on.

To avoid repeatedly having to extract the second element we use the
assignment arrow to store the result in a variable 'room_length',
which is used several times in the procedure. Similarly with the
remaining items of information.

In a later chapter we will see that there are alternative methods of
extracting selected elements of a list using the Pop-11 pattern matcher.
In this case, since we want to get all the elements out of the list and
assign them to four variables, we can use a still more more compact form
based on the multiple assignment operation in Poplog, and the "explode"
procedure which simultaneously returns all the elements of a list on the
Pop-11 stack:

    explode(list) -> (room_name, room_length, room_width, room_height);

Try replacing that line with the four assignments in the definition, and
recompile it.

Going back to the original definition of display_room, we see that Line
8 of the definition has two imperatives,

        pr('INFORMATION CONCERNING: '); pr(room_name);

which print information on the screen. The first instruction includes a
string delimited by the single quote character ', also known as the
string quote character in Pop-11. All the items in the string are
printed by the procedure pr, exactly as they are given.

By contrast the next instruction uses the unquoted variable "room_name".
so instead of printing "room_name" it prints the VALUE of that variable,
which, if our program is working, will be a word, e.g. "room1" or
"room2", etc., depending on which list is given as input to
the procedure display_room.

The imperative:


Causes subsequent printing to be started on a new line.

A line like the following simply prints out a string, which in this case
also include several spaces:

        pr('  perimeter is: ');

The next imperative:

        pr(perim(room_length, room_width));

This is actually composed of two instructions. The first is

        perim(room_length, room_width)

gives the values of "room_length" and "room_width" to a procedure
called 'perim' (yet to be defined, since it is not built in to
Pop-11), and expects that procedure to produce one RESULT. That is
followed by

        pr( ... );

which takes the result and prints it. E.g. if room_length has the value
16 and room_width has the value 12 then this should print out 44. Here
we are using the expression

    perim(room_length, room_width)

to refer to the number which is the perimeter of the room. So when we
define the procedure called "perim", we have to ensure that it produces
a result which is a number, i.e. something which will be referred to by
this sort of expression, and printed.

The remainder of our procedure uses similar techniques, first using
the procedure area, which has yet to be defined, then a procedure
volume, also to be defined. Note that the line:

    pr(volume(room_length, room_width, room_height));

implies that VOLUME will be given three inputs, not two like the others.

-- . Defining the procedure perim

Here is how you might define perim to calculate the perimeter. It
should take two numbers, add them, then multiply by 2 to get the
total perimeter, which is then the result of the procedure.

    define perim(len, breadth) -> total;
        lvars len, breadth, total;
        (len + breadth) * 2 -> total

If you are using VED, mark and load that procedure. (If you are using
Poplog version 15 or later, the "lvars" line is not needed.)

The first line has two new features. First we are here defining a
procedure with two input variables 'len' and 'breadth', not just one
as before. (Note: we cannot use 'length' for the first argument, as
that's already a name of a Pop-11 system procedure. If we used
'length' we'd get a mishap message. Hence 'len'). Secondly the
procedure header ends with '-> total', which implies that this
procedure is to produce one result. What that result will be will
depend on what is assigned to the variable 'total' in the procedure.

The occurrence of '-> total' in the header is not itself an
assignment. It is merely an indication of how the variable "total"
is being used in the procedure. I.e. it is an 'output local'
variable, whereas "len" and "breadth" are 'input locals'. Although
the output local declaration looks like an assignment, it does not
cause the procedure to assign anything to the variable. Rather it
indicates that after the procedure is used there will be a 'result'
available, and the user must take care to assign something to the
variable "total" within the procedure, to be used as the result.

We can test the procedure thus, using "==>" to print out the result:

    perim(5,3) ==>
    ** 16

(Mark and load that command. Try it with different numbers to make sure
it always gives the right answer.).

Actually, "==>", the 'pretty print' arrow is not needed for printing
out something as simple as a number. It is intended for printing
more complex structures, like lists of lists. So in this case, we
could use the simple print arrow "=>", thus:

    perim(5,3) =>
    ** 16

Pop-11 has many built in procedures besides "+" and "*" which can be
used to create either complex expressions or complex imperatives.
More of them will be introduced later.

-- . Defining the procedure area

Similarly we can define AREA, using the multiplication symbol "*":

    define area(len, breadth) -> total;
        len * breadth -> total;

    ;;; and now test it:

    area(18,12) =>
    ** 216

Prior to Poplog version 15 the procedure header should be followed by

        lvars len, breadth, total;

-- . Defining volume:

    define volume(len, breadth, height) -> total;
        len * breadth * height -> total;

Mark and load that, and test it:

    volume(5,5,5) =>
    ** 125

Having defined all the required subsidiary procedures, we can now test
display_room, remembering that it requires a list of information about
one room:

    display_room([room17 9 6 7]);

And this command causes the following to be printed out:

      perimeter is: 30
      area is: 54
      volume is: 378

We could arrange 'prettier' formatting, but for now we shall ignore
that. We can now run the master program on the list rooms, which we
created above. Just to check, we can print out the contents of the

    rooms ==>
    ** [[room1 14 12 8]
        [room2 16 11 8]
        [room3 15 11 8]
        [room4 10 9 9]
        [room5 21 11 9]]

Where the asterisks are again produced by "==>". Then run the master
procedure, giving it the list rooms as input:


mark and load that, which produces all the following printout:

  perimeter is: 52
  area is: 168
  volume is: 1344
  perimeter is: 54
  area is: 176
  volume is: 1408
  perimeter is: 52
  area is: 165
  volume is: 1320
  perimeter is: 38
  area is: 90
  volume is: 810
  perimeter is: 64
  area is: 231
  volume is: 2079

Notice that only two of our procedures do any printing, namely
display_data, and display_room. The procedures perim, area, and volume
produce RESULTS which they do not print out themselves. Instead they
leave their results on the Pop-11 stack, explained in a later chapter.
Items left on the stack can then be used by other procedures.

In this case, the results are printed in display_room. They could have
been used for other purposes. For instance, we could use area to define
volume, by first computing the area, and then multiplying by the height:

    define volume(len, breadth, height) -> total;
        area(len, breadth) * height -> total;

Here 'area(len, breadth)' produces a result, which is then multiplied by
the value of 'height' to produce the volume. This version of volume
should produce the same results as the previous version.

-- "Top down" and "Bottom up" design ----------------------------------

The above example illustrated the use of "top down" design. We started
with a specification and definition of the main procedure display_data,
then defined the procedure used by it, display_room, then defined the
lowest level procedures used by that one, i.e. area, perim, volume.

However, there are some things that were already defined as part of the
Pop-11 language, in particular the print procedure "pr" and the
arithmetic procedures for addition and multiplication: "+" and "*"

A design methodology that starts by defining the "low level" procedures
then moves up towards more and more complex procedures using those
already defined is called "bottom up design". Most real life software
development uses a mixture of top down and bottom up design. Top down
design is usually possible only when you start by having a very clear
idea of the problem and how to solve it.

Whether you do your programming top down or bottom up, it is absolutely
essential to be clear about the "ontology" of your problem. This
includes the following topics, not all of which will be relevant to
every problem:

    What kinds of objects are there?
    What sorts of properties can the objects have?
    What sorts of relationships can the objects have?
    What sorts of events or processes can occur involving those objects?
    What sorts of problems can arise involving those objects?
    What algorithms, or procedures are required to solve those

Which of these would be relevant to the rooms example so far?

-- Exercise on the ROOMS example ------------------------------

The rooms example illustrates features of Pop-11 which need to be
explained in more detail later on. The following exercise should test
your understanding so far.

1. Modify the program so that in addition to the information shown above,
the dimensions of each room are printed out, before the perimeter.
You will need to work out which procedure should be modified, and how to
modify it. All the techniques required have already been demonstrated.

Some further questions for revision:

2. Explain what the 'for....endfor' form  achieves.

3. What is a local variable? What is the difference between an input
local and an output local? How are additional local variables declared?
(More on this in later chapters.)

4. In the left half of the imperative:

        area(len, breadth) * height -> total;

there are five expressions denoting numbers. What are they? Hint: here
are two of them:

    breadth, area(len, breadth),

5. Explain the difference between '->' in a procedure heading and in an
assignment instruction. One of them causes a value to be copied from the
Pop-11 stack to a variable. The other specifies that a value should be
left on the stack when a procedure finishes. Which is which?

6. What are lexical rules for? How many separate items would the
Pop-11 lexical rules find in the following line:

    [room3 44hat 999+x ]

Hint: you can find out by printing it out thus:

        [room3 44hat 999+x ] =>

    or using listlength, to count the items, thus:

        listlength([room3 44hat 999+x ]) =>

7. Suppose you wanted to be able to answer questions about which rooms
were connected to which, and questions about which rooms you had to pass
through to get from e.g. room1 to room4. (This could be essential
information for an adventure-game program, or a route-planning program).
How might you enrich the ontology of the problem? E.g. what additional
objects, properties and relationships might be involved? How would you
represent the additional information in the the "rooms database", i.e.
the list of lists of information about rooms? (There are several
different ways of doing this. Try to invent one.)

A possible answer: suppose that the rooms are all rectangular and
aligned with the compass points. Then a room that is connected to
room5 via its eastern wall could have the following information added to
its list:

    [east room5]

Try drawing a plan of a house, including a corridor and some rooms, and
then see how you can represent the rooms, the corridor, and their
connectivity. What about the external doors? Would the above
representation of dimensions as length, breadth and height adequately
show the configuration of each room, or which a different representation
be better?

-- Searching for information in the "rooms" database ------------------

In our example so far, we have used all the information in the list
rooms in a rather verbose fashion. If we wanted to find information
about a particular room, e.g. room3, we could use our knowledge of
the order of the items in the list rooms, and get the third element and
give it to display_room, using the expression 'rooms(3)' to denote the
third element of the list called 'rooms', thus:


      perimeter is: 52
      area is: 165
      volume is: 1320

But if we do not know the order in which information is stored, then
we can define a procedure to search in the list for information about
the room required. We want a procedure called findroom which

    a. takes two inputs:
            a room name and
            a list of data about all rooms
    b. produces the list of data for the named room as its result

For example

    findroom("room3", rooms)

should produce as its result, to be left on the Pop-11 stack, the list

    [room3 15 11 8]

We can do this, using techniques already illustrated, by using a "for"
loop, and examining each piece of room information in turn until we find
one whose first element is the name of the required room. At that point
we can stop the search, using the "return()" command. If we get to the
end of the list without finding the relevant room, produce a "mishap"

    define findroom(name, list_of_lists) -> data;

        ;;; search list_of_lists for a list starting with name

        for data in list_of_lists do
            if data(1) = name then
                return();       ;;; i.e. stop the procedure
        ;;; produce a mishap message
        mishap('DATA NOT FOUND', [^name ^list_of_lists])

We have again used the format:

    for <item> in <list> do <action> endfor

This time instead of the <action> containing a single simple instruction
that is to be obeyed with every room it contains a complex construction,
with a part that is to be applied only if a condition is to be
satisfied. The <action> is a conditional imperative, of the form:

    if <condition> then <action> endif

Later we'll meet alternative forms of conditionals. The action in
this case is simply to 'return', i.e. to jump to the end of the
procedure. Because 'data' is specified as an output local variable in
the procedure header, the value of 'data' which made the condition

             data(1) = name

true will be the result of the procedure. In other words the result
will be the list of information about the room with the name

We can test findroom as follows using the word-quote symbol '"' to
say that the first input given to findroom is a word, not its value.
We use the print arrow '=>' to print out the result produced by
findroom and left on the stack.

    findroom("room3", rooms) =>
    ** [room3 15 11 8]

    findroom("room5", rooms) =>
    ** [room5 21 11 9]

Alternatively the output of findroom can be given as input to
display_room, e.g.

    display_room( findroom("room5", rooms) );

(Try that.)

And if we give it a room which can't be found we get a mishap

    findroom("room17", rooms) =>

    ;;; INVOLVING:  room17 [[room1 14 12 8] [room2 16 11 8] [room3 15 11
         8] [room4 10 9 9] [room5 21 11 9]]
    ;;; FILE     :  /home/staff/aaron/primer   LINE NUMBER:  2310
    ;;; DOING    :  findroom .......

The message will contain more information, and will have a different
file name and line number for you. The extra information can be ignored
for now, though it may be relevant when debugging complex programs.
This 'mishap' message is produced by the line in our procedure
definition which invokes the built in procedure called "mishap" (which
is actually re-definable by the user, if different error handling is

At this stage it may be difficult to understand everything in the
definition of the procedure findroom. After reading later chapters on
list processing, conditionals, and looping constructs, it may be useful
to look back at this chapter, which may then make more sense.

Findroom is sufficiently general to be given different lists of rooms on
different occasions. We can use it to define a more complex procedure
called 'find_and_show' to print out the data concerning a given room.
This procedure is to be given the name of a room (a word) and the list
of information about all rooms. It uses findroom to dig out the list of
data about the particular room, and gives that to display_room for
printing. Here is a possible definition of find_and_show:

    define find_and_show(name, list_of_lists);
        display_room( findroom(name, list_of_lists) );

Notice that the two items given as input to find_and_show are simply
handed on as input to findroom. The latter produces a result which is
used as input for display_room. The same thing could be said less
compactly, though perhaps more clearly, by using an extra local variable
"room" in the procedure below, to hold the result produced by findroom.

    define find_and_show(name, list_of_lists);
        lvars room;
        findroom(name, list_of_lists) -> room;

To test the procedure, we can type:

    find_and_show("room2", rooms);

Which produces the following printout:

      perimeter is: 54
      area is: 176
      volume is: 1408

Note that find_and_show does not produce a result (it has no output
local variable, and leaves nothing on the Pop-11 stack). Instead it does
some printing via display_room.

Because find_and_show produces no result our test imperative instruction
does not use the print arrow "=>" to print out a result. Instead the
instruction is terminated with a semi-colon.

-- Finding several rooms --------------------------------------

If we wanted to dig out information about not just one room, but
about several, then we could define a procedure to take a list of
the names of wanted rooms, as well as the master list, and search
for each required room in turn, using find_and_show:

    define find_and_show_all(namelist, list_of_lists);
        lvars name;
        for name in namelist do
            find_and_show(name, list_of_lists)

We can test it, by giving it a list of two room names and our global

    find_and_show_all([room2 room4], rooms);

which prints out:

      perimeter is: 54
      area is: 176
      volume is: 1408
      perimeter is: 38
      area is: 90
      volume is: 810

You may already be able to see that we can define procedures which are
much more flexible than this. In this example we always dig out the same
sort of information, even though it may be about different rooms. We
could define procedures which produce different sorts of information.
E.g. given a width, find all the rooms with that width, or find all the
rooms which have a given length and height, etc.

Later we shall see that use of the Pop-11 matcher would make this
sort of flexibility much easier to achieve.

-- Exercises --------------------------------------------------

Before attempting these exercises, some readers may find it helpful
to read the next chapter.

1. Modify the above examples to define a procedure called
rooms_with_length which instead of being given the name of a room is
given a length, i.e. a number. It should print out the name of every
room with that length.

You could model the definition of rooms_with_length on the definition of
findroom. It would use a similar looping structure, but instead of
testing whether the first element of each room is the required name, it
would test whether the second element is the required length. And
instead of stopping (using return) it would then print the name and
continue round the loop.

2. The procedure find_and_show_all could be very inefficient. For
each room name it initiates a new search down the list, using
find_and_show. If the list of room data is very long, this could be
very wasteful.

Try defining a new version of find_and_show_all which is essentially
like findroom, but modified to take a list of names instead of just one
name. Further it would not have a output local variable, since it would
print relevant information instead of producing a result. Two further
modifications of findroom will be needed. The call of mishap at the end
should be removed, and the conditional

    if data(1) = name then
        return();       ;;; i.e. stop the procedure

will need to be replaced by something equivalent to the following,
(which is not Pop-11):

    if data(1) is a member of the list of names then

There is a procedure called 'member' in the Poplog system which
takes an item and a list and produces the result TRUE if the item is
in the list, false otherwise. So

    member("room4", [room2 room4 room17])

would be an expression denoting the object true, whereas

    member("room5", [room2 room4 room17])

would denote the object false. You could use a conditional starting
something like:

    if member(data(1), namelist) then

3. If the procedure called 'member' did not already exist in Pop-11
you could define it using concepts already illustrated. Try defining
a procedure called 'iselement' which takes an object and a list of
objects, and searches down the list using "=" to see if the given
object is the same as an element of the list. If so stop searching
and produce the result TRUE, using the imperatives:

        true -> result;

If you get to the end of the list without finding the given object then
the last action would be

        false -> result;

The search process could use the 'for ... endfor' syntax. When
tested your procedure should behave like this:

    iselement("cat", [mouse cat dog]) =>
    ** <true>

    iselement("pig", [mouse cat dog]) =>
    ** <false>

    iselement(4, [a 1 b 2 c 3 d 4 e 5]) =>
    ** <true>

    iselement(99, []) =>
    ** <false>

A procedure like iselement that returns a boolean (i.e. true or false
result) is called a "predicate". Pop-11 has many built in predicates for
testing individual objects (e.g. isinteger, islist, isword, isstring,
isprocedure, and many more) and also 'binary' predicates for testing
relations between things, including the arithmetical relations '<',
'>', member(item, list), issubstring(string1, string2), and many more.
The most commonly used binary predicates are "=" for testing equality of
structures, and "==" for testing strict identity of objects. Two
structures with the same components can pass the "=" test and fail the
"==" test, for example two strings with the same characters:

    'the cat' = 'the cat' =>
    ** <true>
    ;;; the following returns false because they are two distinct strings
    'the cat' == 'the cat' =>
    ** <false>

-- Type-less higher order procedures ----------------------------------

This section is best omitted by beginners.

Notice that in Pop-11 (like Lisp) a procedure like member (or iselement)
can be defined to take any sort of object and any sort of list of
objects. In a 'typed' language like Pascal you would have to define one
version of the procedure for lists of numbers, another for lists of
words, another for lists of lists, etc. This kind of generality is one
of the things that gives Pop-11 its power.

Another example is the library procedure syssort. This takes a list and
an ordering predicate, and returns a copy of the list that has been
sorted according to the ordering predicate. For example, this will sort
a list of words or strings alphabetically:

    syssort([the cat sat on the mat], alphabefore) =>
    ** [cat mat on sat the the]

One can define a predicate that orders two lists L1 and L2 according to
whether the second item of L1 is alphabetically earlier than the second
item of L2.

    define second_first(list1, list2) -> boole;
        if list1(2) < list2(2) then true else false endif -> boole

or more concisely

    define second_first(list1, list2);
        alphabefore( list1(2), list2(2) )

We can use this ordering predicate to sort a list of lists:

    syssort([[a d] [c a] [e b] [f c]], second_first) =>
    ** [[c a] [e b] [f c] [a d]]

syssort is an example of a second order procedure, since one of its
arguments is a procedure, which it uses internally. It is very general
because it can be applied to many different combinations of types of
lists and ordering procedures. syssort is a type-less procedure: it can
only be applied to a list and a procedure, but the list can contain
objects of any type, and the procedure can be of any type that is
suitable for the elements of the list. It is even possible to have a
list of elements of different types, provided that the ordering
procedure imposes a suitable ordering on them.

This is a small example of the sort of power and modularity that comes
from using a language that treats procedures as objects that can be
given to other procedures, and which does not require all type
information to be available when a procedure is defined. Higher order
programming of this kind can make software development and maintenance
more effective because the same procedure can be re-used in many
different contexts.

It might be thought that this freedom from type restrictions makes
Pop-11 an unsafe language: the answer is that the types are checked at
run time instead of compile time. The second argument that is given to
syssort will check that the elements of the list are of the right type.
If the types are wrong, an error message is produced.

    ;;; This will make alphabefore complain because it gets a number
    syssort([ 21 4 3 55 22], alphabefore) =>

    ;;; INVOLVING:  21
    ;;; DOING    :  alphabefore get_run syssort ....

Sometimes it is easier to produce bug-free programs if the type checking
is postponed till run time than if very complex checking is done at
compile time and then a compiled program is produced that is ASSUMED to
be safe to run. In some cases the assumption may turn out wrong. Ruling
that out can make a language extremely restrictive and inflexible to use
for complex software.

In the next chapter we shall give a somewhat more formal introduction to
Pop-11, defining in more general terms some of the constructs
illustrated here.

First here's a simplified overview of the Pop-11 virtual machine.

-- POP-11 : A MINIMAL MODEL -------------------------------------------

Added 11 Oct 1997

-- -- Introduction

Understanding Pop-11 requires understanding at least the syntax and
semantics of Pop-11.

-- -- 1. The syntax of Pop-11.

Chapter 2 of the PRIMER includes a lot of information about the syntax,

The ``lexical'' syntax, i.e. how the stream of characters read into
Pop-11 is broken up into ``lexical items'', or ``text items'',
including: words, strings, and numbers. (See also HELP  WORDS,

The ``compositional'' syntax, i.e. how the text items can be
combined in various ways to form more complex programming constructs,
e.g. variable declarations, procedure definitions, procedure
invocations, list expressions, vector expressions, commands, comments,
the use of infix operators like ``+'', ``-'', ``<>'',
etc. (Experienced students can try looking at REF POPSYNTAX)

-- -- 2. The semantics of Pop-11

Chapters 2 and 3 of the primer give a lot of information about the
semantics of Pop-11 including:

Some of the types of structures that can be created and manipulated
by Pop-11 programs.

Some of the types of processes that can be generated by running
Pop-11 programs. (See also TEACH STACK).

The differences between the ``compile time'' semantics (i.e. the
processes that occur when a program is being read in and translated
into machine instructions) and the ``run time'' semantics (i.e. the
processes that occur when your program has already been compiled, and
starts running).

These notes provide additional information about what happens when
declarations are compiled and when procedures are running.

-- -- The Pop-11 ``virtual machine''

When Pop-11 starts up space is allocated for it in the computer. Some
of the space may be in the main memory of the computer (RAM), some in
temporary disk files. Where the space is allocated may change while the
program is running. (Some parts of the Pop-11 system include bits that
your programs cannot alter, so their space can be shared with
other users, saving memory in the machine.)

Pop-11 breaks up the space into different areas which have different
functions. These are parts of the Pop-11 ``virtual machine''. When your
program is compiled, and when it runs, it causes changes to occur in the
virtual machine.

The actual virtual machine is quite complicated because it is designed
to support a variety of types of languages (including Lisp, Prolog and
ML), and also interactions with the operating system, the file system,
the windowing system and remote machines. However, a subset explained in
more detail below is fairly easy to understand, consisting of six parts
of the virtual machine:

1. The dictionary, containing words (some of which are
variables, some Pop-11 syntax words, and some simply words used as
symbols to be manipulated or printed out),

2. The set of ``built-in'' procedures,

3. The ``heap'' where new procedures and structures are created,
including temporary ones.

4. The procedure-call stack (procedure-activation stack)

5. The user stack (sometimes just called ``the stack'')

6. Input and output channels for communicating with the terminal.

All of these can change, both while programs are being compiled and
while they are running. However during the running of the program it is
normally the last four which change.

A partial picture of this architecture is available here:

-- -- The dictionary

The dictionary includes (among other things):

o Syntax words known to Pop-11, including ``define'', ``enddefine'',
``if'', ``for'', ``endfor'', ``vars'', ``(``, ``)'', ``['', ``]'',
``=>'', ``->'', ``,'', ``;'',

o Procedure names known to Pop-11, including ``readline'', ``mishap'',
``vedteach'', ``pr'', ``sqrt'', ``hd'', ``last'', ``random'', and infix
procedure names, like ``+'', ``-'', ``='', ``*'', ``<>'',

o Names of global variables defined in the Pop-11 system, or by your

o Other words which do not have any ``meaning'' for the program, but
are used as symbols, e.g. in a list printed out by eliza, or a list of
words typed in by the user in answer to a question. These words do not
have a ``value'' cell associated with them, unlike variables, procedure
names, and some of the syntax words. E.g. the list [the  cat]
contains two words which are put in the dictionary, but need not have
any associated value (unless they are later used as variables).

When the Pop-11 compiler reads a declaration like the following,

    vars list1, list2;

it adds the words ``list1'' ``list2'', to the dictionary, specifies (in
the dictionary) that each word is a variable, and associates with it a
default value, i.e. an ``undefined'' value, which prints as <undef
list1>, for example. Later an assignment using the format -> list1, may
assign something to the variable and that will change the contents of
the value cell for that variable. The picture shows two user variables
num1 and num2 which have been assigned numbers as values.

-- -- Built-in procedures

When Pop-11 starts up it has many built-in, previously compiled,
procedures, e.g. all the syntax procedures used by the Pop-11 compiler,
and procedures for creating and manipulating words, strings, arrays,
lists, vectors, numbers, buffers in the editor, graphical windows, etc.
These are in a ``permanently allocated'' portion of the Pop-11 virtual
machine. I.e. you can't remove them.

-- -- The heap: for structures which may change

When your program creates a list, e.g. using expressions like these:

    [the cat sat on the mat]

    [perhaps in your fantasy we .^^.list each other]

as an eliza program might do, then the list is assembled using locations
in the heap (explained in TEACH WAL).

A ``pointer'' to the list is put on the user stack, i.e. an internal
symbol with the address of the list (the place in the heap where it
starts) is put on the stack. An assignment or a procedure requiring an
input value, may remove it from the stack, while it remains in the heap.
Later, if your program runs out of heap space, a special procedure
called the ``garbage collector'' is automatically invoked. It may decide
that nothing in your program can access that list any more (e.g. none of
your variables has the list as its value, and none of the other lists
that your program can still access includes the list). In that case the
space will be cleared and can be re-used for something else.

(One source of inefficiency in programs is creating unnecessary
temporary structures and giving the garbage collector too much to do.)

Besides lists, Pop-11 programs can create many other types of objects,
some described in the Primer, Chapter 2. E.g. each Ved buffer is a
``vector'' of strings, stored in the heap.

-- -- The procedure call stack

When you have started up Pop-11 and the editor, Ved, there are already
several procedures ``active''. First there are procedures that set up
Pop-11, and find out what you want to do. If you specify that you want
to run the editor, the setup procedures will invoke Ved procedures, and
just wait until Ved finishes before they do anything else, such as close
down Ved windows and terminate the Pop-11 process.

If you have created and compiled the conversational procedures specified
in TEACH RESPOND, you can then run your procedure called converse,
Ved will hand the instruction to Pop-11, which will start the procedure.
Converse may then invoke other procedures, e.g. a procedure to
find out the user's name and print a greeting, the readline
procedure to read in a sentence typed by the user.  It may then invoke
the respond procedure (defined by you) to work out how to reply.
That procedure might call (i.e. invoke) the system procedure
matches to decide what sort of sentence the user typed in.

At that point several procedures are all active, as shown
(approximately) in the picture of the procedure call stack (in the
printed version of this Primer), where each procedure is waiting for the
one above it (which it invoked) to finish. Only the one at the top is
actually doing anything, and as soon as it has finished, it is removed
from the top of the call stack and the one below it continues
immediately with the next instruction. That may call yet another
procedure, which will then go on the call stack.

Thus the contents of the call stack are constantly increasing and
decreasing. For each active procedure (either running, or waiting to
continue) the call stack needs information about which procedure it is,
what its next instruction is, whether it has ``local'' variables (lvars)
and if so what their current values are.

If you get a MISHAP, the ``DOING'' line tells you which procedures were
in the procedure call stack (apart from ``system'' procedures which are
not printed out).

-- -- The user stack

If a procedure (e.g. readline) creates a list, the list is created
in the heap, and a pointer to it (its address in the heap) is put on top
of the stack. Then another procedure can get the last item constructed,
by examining the top of the stack. E.g. if this command is run, then

    readline() -> sentence

the procedure readline pauses while the user types things.

Pressing RETURN wakes up readline), so that it reads the characters from
the terminal input channel (possibly via the editor), breaks them up
into words, assembles them into a list in the heap, and puts its address
on the stack. The assignment operation moves the address to the value
slot currently associated with the variable ``sentence''.

The value slot is in the dictionary if ``sentence'' is a global
variable, declared with vars or in the current procedure activation
record if it is a local variable declared with lvars.

``Arguments'' can be passed to a procedure via the user stack. E.g. if
converse includes the command,

    respond(sentence) =>

that first of all puts the value of the variable sentence on the stack,
then suspends converse and runs respond. The latter takes the item off
the stack and then does things with it (e.g. if it's a list, the words
in it may be used to decide how to reply). When finished respond puts
another item on the stack, its result. Then the print arrow => procedure
takes it off, prints it through the output channel (a character at a
time), and then converse continues with its next instruction.

TEACH STACK gives a lot more information about how procedures use the

-- -- Input and output channels

These are used for reading in characters typed at the terminal, and for
printing out characters, e.g. in the form of words, or numbers, or
spaces, newlines, etc. Pop-11 can also read things in from files stored
on the disc, or send information out to files on disk: Ved uses that
capability to read your files and save them afterwards. So a more
complete model would show additional input and output channels, and
all the program and documentation libraries.

-- -- Poplog and the operating system

For some purposes, understanding how Poplog, Pop-11, and the Editor
works requires knowledge of other parts of the operating system, which
is usually some version of unix or linux. A diagram is available that
gives an approximate impression of the relationships, though many
details are omitted, such as the fact that Pop-11 may have to
communicate with the operating system's memory management sub-system, or
its filemanagement sub-system.

-- -- Conclusion

This section may make it easier for you to understand some of the
remaining portions of the primer. Much of the explanation here has been
simplified. However, this model will enable you to do a lot of the
programming required for an introductory course. The rest of the PRIMER
provides a lot more information. Further information is in REF files,
HELP files and TEACH files.


A programming language has two main aspects: (A) the permitted sequences
of symbols making up a program, and (B) their meanings. (A) is often
often called the syntax and (B) the semantics of the language. However,
the notion of "semantics" or "meaning" in this context is often
ambiguous as sometimes people who talk about the meaning of a program
are referring to what objects it creates and manipulates in the computer
and sometimes they are referring to things in the world that the
program models or represents.

For example, if a program builds a database of information about rooms
using a list of lists (like the example in Chapter 1), then a portion of
the program has one meaning insofar as it specifies which lists are
constructed or examined in the computer, and a totally different meaning
insofar as the information manipulated is about rooms and their
measurements, i.e. things that have nothing to do with the computer.

-- Internal semantics and external semantics --------------------------

It might be useful to call the first "internal semantics" and the second
"external semantics". The internal semantics will be concerned with
manipulation of symbolic structures in the machine. These, like the
external programming language, will have a SYNTAX, i.e. there will be
rules specifying which structures can be built and how they can be
manipulated. And these internal structures may themselves have a
semantics, insofar as they refer to things in the world.

In that case programs have a syntax and internal and external semantics.
The internal structures are the internal semantics of the programs, but
they too have a syntax and an external semantics.

Generally a programming language is defined in terms of its syntax and
its internal semantics. It's up to the user to determine how to give it
an external semantics, by applying the language to different sorts of

-- Expressions denote objects. Imperatives denote actions -------------

In a language like Pop-11 the meanings are of different sorts: in
is only a rough and ready distinction and many Pop-11 expressions both
denote objects and specify actions that create those objects and perhaps
also have other side-effects. For example, if the variable, (or
identifier) x has the value 3 and the variable y has the value 4 then
the expression

    (x + y) * (y - x)

(externally) denotes the number 7. Internally it denotes a machine
representation of 7. However it also can be thought of as an imperative
which causes various things to happen in the machine. In particular
it causes the value of x to be added to the value of y and the result
saved on the Pop-11 "stack", then the value of x is subtracted from the
value of y and the result saved on the stack. Then the two things on the
stack are multiplied and the product left on the stack.

This dual aspect of expressions in Pop-11 as also having an imperative
meaning is quite pervasive and is worth learning about as it will help
with developing and debugging programs. In fact 'imperative' is the more
basic concept in this sort of language.

Some further useful information about the imperative semantics of Pop-11
is found in the online TEACH STACK file, which gives a more detailed
tutorial introduction to the Pop-11 "virtual" machine. Chapter 3, below,
gives further information about the stack.

-- Compile time vs run time processes ---------------------------------

There is another "imperative" aspect of programming language constructs.
So far we've mentioned the internal actions that are produced when the
commands are obeyed by the computer, i.e. at "run time". There is an
earlier process that occurs when your instructions are read in by the
Pop-11 system, e.g. from a file on the disk, or from the editor buffer,
or from what you type at a terminal. Pop-11 has a "compiler" which reads
the commands, analyses them and translates them into "low level" machine
instructions which will later be obeyed by the computer. So the Pop-11
expressions cause additional processes to occur BEFORE the program is
run. These processes include:

    o Lexical analysis - breaking the "input stream of characters" into
      separate symbols, namely words, numbers and strings.

    o Syntactic analysis - working out how to analyse complex sequences
      of symbols, like the analysis of (x + y)*(y - x) given above.

    o Code generation - i.e. production of the compiled procedure
      containing machine instructions.

This is a slight oversimplification, but it will suffice for most
purposes. These processes happen at "compile time", i.e. when the
program text is being read in, analysed, and translated into a machine
code version. When the program is later obeyed and the machine code
instructions executed, things happen at "run time". We could think of
the internal semantics of the program as having two aspects: the compile
time semantics, which determine the processes that translate source code
into machine code, and the run time semantics which determine what
happens later when the machine code instructions are executed.

Understanding the difference between compile time and run time is
important because different things can go wrong at those times. E.g. at
compile time you can get syntactic errors, like leaving out a closing
bracket or a semi colon. At run time you get "semantic" errors, like
trying to add a number to a string, or trying to examine the 15th
element of a list that has only 14 elements. Moreover, in languages like
Lisp and Pop-11 whose syntax users can extend by defining new so-called
macros or syntax words, the processes that occur at compile time can be
modified by users, and doing this requires fairly detailed knowledge of
what happens at compile time. This primer will not go into such details.
Experts who wish to know more can read the online documentation in

Some languages have interpreters instead of compilers, and they do
something different for the last stage, i.e. they build a structure that
does not contain machine instructions, but symbols that can later be
interpreted by another program, the interpreter, which performs actions
under the control of the symbols being interpreted. In Pop-11, and many
widely used languages, a compiler is used and the machine itself (the
CPU, or central processing unit) is the interpreter, rather than another

Understanding all those processes is not essential for understanding how
to design and develop programs, but it can help you design programs that
are more efficient, and it can help you understand what goes wrong when
there are obscure errors, especially in a language like Pop-11 that does
not have a fixed syntax, but allows you to extend it by defining new
forms of expressions and imperatives.

-- How a programming language is specified: virtual machines ----------

Defining a programming language involves specifying which sorts of
objects there are, and what sorts of actions can be performed on them,
and learning the syntax for creating or referring to objects and for
specifying or performing actions. In the case of languages like Pop-11,
Lisp and Prolog the components of the language (e.g. words, syntactic
forms, procedure definitions) are themselves among the objects that the
language can be used to manipulate, which is not the case for a language
like C, or Pascal.

The set of internal objects and the actions that can be performed on
them is sometimes referred to as a "virtual machine". The reason is that
the objects (e.g. words, lists, strings, numbers, arrays) are not
actually physical objects that you can see if you open up the machine.
They are abstract objects that only exist as a kind of "interpretation"
of the processes going on at a lower level, which usually consist of
turning switches on or off and sending electrical signals through wires,
etc. In fact different virtual machines, corresponding to different
programming languages, can be made to run on the same physical machine,
by having compilers or interpreters for the languages. Thus the Prolog
virtual machine is very different from the Pop-11 virtual machine.

Just to add to the confusion, one virtual machine can be used as a basis
for "implementing" another. So the Pop-11 virtual machine can be (and
has been) used to implement a Prolog virtual machine. There may be
several layers of virtual machines all running at the same time when
your program runs: but at the bottom layer there's always something
physical. Perhaps that's also a good way to think about how the mind is
related to the brain.

Some virtual machine actions are concerned entirely with processes
within the computer, like re-ordering a list of names, or adding two

Others may be concerned with information flowing into or out of the
computer, e.g. text read in from or printed out to the terminal, or a
file. Most of this introduction is concerned with actions within the
computer, though you will also have to know something about how to print
results of programs and how to get files on the disk compiled, or read
in by your programs.

Specifying the internal semantics of Pop-11 then involves specifying
which sorts of objects, i.e. "which data types" the Pop-11 virtual
machine can construct and manipulate, and also which sorts of operations
it can perform on various sorts of data. Specifying the syntax is a
separate matter: languages with different forms of syntax might be able
to operate on the same data types in the same ways. (For example there's
a lot in common between the data types of Lisp and Pop-11, and the
operations available, but their syntax is completely different.)

In the next section some of the most commonly used data-types are listed
and examples shown of the syntactic forms that can be used to denote
them. Some of them are basic data-types whose instances do not contain
other objects. Others are complex data-types, and their instances
contain other objects. An example of a complex object in the previous
chapter was a list of lists of words and numbers, used as a database
of information about rooms. Integers, like 0, 3, 99, -55 and decimals,
like 1.414, 3.14159, are basic data-types and do not contain other
objects as parts. (Chapter 5 introduces a distinction between "simple"
items that are represented directly by bit-patterns in the computer and
"compound" items that are represented indirectly by pointers, or

-- Some Pop-11 data-types and their external forms

Objects referred to in Pop-11 include numbers, words, strings, lists,
and others explained later. These are all things that can exist in the
Pop-11 virtual machine. There are standard notations in Pop-11 for
referring to such things. A few examples are presented here, to
introduce ideas used in the following sections. A more comprehensive
list is given later in this chapter.

-- . Two sorts of numbers

The two most commonly used types of numbers are

o   Integers:

    E.g. 66,   99876789,   -66,     0

o   Decimals:

    E.g. 88.532,   1.2345e3 (= 1234.5),   123.4e-3 (=0.1234), 0.0

Other types of numbers are described below. Summary and tutorial
information on programming with numbers in Pop-11 can be found in the

-- . Words:

    E.g. "cat",   "ninety",   "fast_back",   "+**+",     "[",    ")"

-- . Strings:

    E.g. 'cat',   'ninety',   '66',   'a string with spaces ++**@@@@'

Words are delimited by double quotes, strings by single quotes. Further
differences are described later.

-- . Lists:

    E.g. [a list of words]     [ [a list] [of lists] [66 77]]

Here is a list containing words, numbers and lists:

    [name [joe bloggs] age 33 job [university teacher] sex male]

Note that inside a list expression you do not need to use the "quote"
marks to refer to a word. Outside a list, if you wish merely to refer to
the word, then use the double quote symbols, e.g.:


Without the context of quote marks or list or vector expressions, Pop-11
will take a word to refer to its value, assuming that it has been
declared as a variable. Sometimes this will produce an error, because
the word has no suitable value associated with it.

If matching pairs of square brackets in one of the examples above were
replaced by braces, the result could be a vector containing words,
numbers and vectors, i.e.

    {name {joe bloggs} age 33 job {university teacher} sex male}

Lists are more flexible and general. Vectors are more compact.
Later the differences between vectors and lists will be explained in
more detail.

Pop-11 also provides several other data-types, described later, and
allows the user to define new ones. Advanced programmers may find it
helpful to look at the online REF DATA file, to get a more complete
overview of the types of data in Pop-11 and some information about how
they are represented in the machine.

-- Some Pop-11 actions

Associated with each type of data will be a collection of actions that
can be applied to instances of that type. Some actions can be applied to
several different types, e.g. printing.

The actions, or processes are produced by imperatives in Pop-11. Actions
may create objects, compare them, search for them, store them inside
other objects, print them out, etc.

There are many forms of imperatives for different purposes. For
example, here is a command to calculate the sum of two numbers and print
out the result:

    99 + 66 =>

which prints out

    ** 165

Here is a command to concatenate two strings and print out the result:

    'the cat sat ' >< 'on the mat' =>

which prints out

    ** the cat sat on the mat

(Pop-11 does not normally print the string quotes, but can be made to,
by assigning true to the global variable pop_pr_quotes.)

Here is an imperative that declares the word "vec" to be the name of a
new variable:

    vars vec;

Here is an imperative that creates a vector of four elements and assigns
it to "vec";

    {a four element vector} -> vec;

Here is a command that accesses the third element of the vector and
prints it out

    vec(3) =>

which prints out

    ** element

The following command updates the third element of vec with the word
"item", and the next one prints out the vector vec, which has been

    "item" -> vec(3);
    vec =>

which prints

    ** {a four item vector}

-- -- Assignments in Pop-11 and other languages.

An assignment is a command to store an item in a variable (or
identifier). Here is an assignment of a number to a variable.

    66 -> num;

Read '->' as 'goes to'. Unlike most languages, assignments in Pop-11 go
from left to right: first specify the object to be assigned, then say
where it is to be stored. In C this would be written as

    num = 66

In languages of the Algol family (e.g. Pascal) it would be

    num := 66

In Lisp it would be

    (setq num 66)

In some languages, e.g. Prolog, this sort of thing cannot be expressed.

In Pop-11 the assignment syntax using "->" can be used for more complex
processes than updating a variable. In particular, it can also be used
to invoke the "updater" of a procedure, as will be explained later.

-- Built in and user-defined procedures -------------------------------

Pop-11 has many different sorts of built in instructions, and new ones
can be defined by the user. In Pop-11 these are called 'procedures'. In
some other languages (e.g. LISP) they are called 'functions' rather than
'procedures', but the kinds of entities referred to are the same, even
if their definitions look different.

(Several lists of built in procedures are provided in the Poplog REF
files, grouped roughly according to their function, or according to the
kinds of datastructures they operate on.)

Some languages distinguish functions from procedures. The former are
sets of instructions that take some input and return a result, like the
mathematical functions addition, multiplication. The word "procedure"
would then be reserved for sets of instructions that do something but
do not have this mathematical property. Pop-11 acknowledges that
underlying both concepts is a single unifying notion of a set of
instructions that can be obeyed, and simply uses the one word
"procedure" to cover all cases. (Lisp uses the one word "function" to
cover all the cases.)

A procedure is defined in Pop-11 by specifying a name, and instructions
to be obeyed when the name is used in an imperative. Having defined a
procedure you can then later use it. In Pop-11 lots more can be done
with procedures, as explained in chapter 4.

There are different ways of putting instructions together to form
procedures. One common form is just a sequence of things to be done one
after another. Another form is a conditional which specifies that what
is to be done may depend on the result of one or more tests. Another
common form is a loop in which a set of instructions is obeyed
repeatedly, until some terminating condition is reached.

The ability to use 'conditional instructions' is one of the things that
make it possible for a computer to be intelligent, or appear to be
intelligent. Conditionals provide flexibility in the use of
instructions. This is because the program decides at run time which
option to choose, rather than the programmer. However, the options
available will normally have been anticipated by the programmer. In a
language like Pop-11 that can create new programs at run time there is
more scope for a conditional instruction whose options were not thought
of by the programmer. (This is also true of Lisp and Prolog.)

The different forms of instructions available in Pop-11 will be
illustrated and explained in this and later chapters: they are many and

-- Errors and error messages ------------------------------------------

To err is human, and the machine will print out 'mishap' messages. Some
of these report compile time errors. E.g. if you leave out the "+"
between two numbers:

    6 6 =>

    ;;; MISHAP - MSEP: MISSING SEPARATOR (eg semicolon)
    ;;; INVOLVING: 6 6
    ;;; DOING    : compile ...

The 'code' before the colon in the top line ('MSEP' in this case), is a
key to a help file which will explain in more detail what this sort of
error message is about. You can examine the relevant explanatory file
with the this command in VED, or direct to Pop-11:

    help msep

This will invoke the Pop-11 HELP facility which uses the screen editor
VED and will print out an explanation of the missing separator type of
error. It should only be used after you have learnt to use the screen

-- -- Syntactic and semantic errors

Some mistakes are 'syntactic', or 'compile time' errors: you have not
typed what Pop-11 regards as meaningful instructions. The 'MISSING
SEPARATOR' error is an example. 'Semantic errors', or 'run time' errors
occur when Pop-11 understand the instructions, but discovers in the
course of obeying them that something is wrong, e.g.

    "one" + "two" =>    ;;; Pop-11 doesn't understand English!

    ;;; INVOLVING:  one two
    ;;; DOING    :  + compile

Pop-11 understood that it was being told to put two objects on the stack
then add them and print out the result. There was no syntactic error.
But when it tried to obey the instruction, then at run time it asked the
procedure "+" to add the two items on the stack. This procedure (+)
checked what it was given as inputs, and then invoked the error handler
to print the message above message. Notice that the DOING line mentions
that it was actually doing "+", as well as doing "compile". In the
previous case it was only doing compile, so the error occurred at
compile time.

In order to do anything Pop-11 has to 'compile' what you type in, i.e.
translate your commands into machine instructions, which are then
obeyed. So Pop-11 invoked compile, which invoked the "+" procedure to do
something. Thus it was in the middle of doing both the procedure "+" and
the (temporarily suspended) procedure "compile", when the error
occurred. So:

    Pop-11 runs compile
                compile calls +
                    + calls the error procedure 'prmishap'

After the error it goes back to doing whatever it was doing before
you typed the command which caused the trouble.

(Note for experienced programmers: there is an 'error-break' facility
which enables the user to take control when an error or other interrupt
occurs. This is done by re-defining either a procedure called PRMISHAP
or a procedure called INTERRUPT, or both. The procedure POPREADY can be
used for the latter.)

-- Comments in Pop-11 programs ----------------------------------------

You will find that inserting short explanatory passages (usually only a
line) helps explain a piece of Pop-11 program. To facilitate that Pop-11
skips over the remainder of any line that contains three semi colons

    ;;; This is a comment
    3 + 5 =>    ;;; Print sum of 3 and 5
    ** 8

    Longer comments, going over several lines can be enclosed
    between the comment brackets "/*" and "*/", just like this

All such text will be completely ignored by the Pop-11 compiler. We
occasionally insert comments in one of these two formats in examples in
this primer.

C programmers will recognise the extended comment syntax with opening
and closing brackets "/*" and "*/". The difference is that in Pop-11
such comments can be nested, whereas they cannot in C. Thus in Pop-11
a comment can include a programming example which itself includes a

-- Pop-11 Expressions: some examples ----------------------------------

Before explaining how to define procedures, we need to explain some of
the building blocks - expressions and imperatives, already mentioned.

We need expressions to tell Pop-11 which objects to manipulate.
Among the objects we can manipulate are numbers, words and lists.

Here are some expressions in Pop-11 which denote numbers:

    999 + 5
    (999 + 5) - 666

Here is an imperative which contains an expression '999 + 5' and, using
the so-called 'print arrow', tells Pop-11 to print out what the
expression denotes

    999 + 5 =>

That will make the computer print out:

    ** 1004

The two asterisks '**' are produced by the command '=>', and are usually
an indication that what follows was printed by the computer.

Pop-11 can refer to very large numbers. Here is the number 35 raised to
the power 75 and printed out (the result being too long to fit on one

    35 ** 75 =>
    ** 63841535832883895351961209037631851266324737513861914558404806674

Here is an expression denoting a list of words

    [a list of five words]

Here is a list of three lists of words and numbers

    [ [a dog 4 5] [a big cat] [66 silly old men 99] ]

If you want to refer to a list containing a single word in Pop-11
you can do it with the following sort of expression:

This denotes a list containing the word "elephant". More precisely, it
is an instruction to Pop-11 to create a list containing just the word
"elephant". If you type the same thing again it will create another
similar list, with the same word in it.

A program might use a list of words rather than a single word if, for
example, it has to store someone's forenames, and you cannot tell in
advance whether there will be only one forename, or several forenames.

    [John Jones]
    [Mary Sue Wilkins]

Since a list can contain arbitrarily many words, using lists will be
more flexible in that case. Later we shall see many examples of the
use of lists to group things together.

To sum up: an expression is a piece of Pop-11 which refers to some
object. It may be an object which always exists, e.g. the number 99, or
it may an object created as a result of the use of the expression, e.g.
a lists of numbers. It may be a simple, or atomic object, such as a
number, or it may be a structured object which has other objects as
components, e.g lists, vectors, words and strings.

In order to do something to any such object it is necessary to use an
imperative which tells Pop-11 to perform some action.

-- Imperatives: some examples -----------------------------------------

-- -- Printing

We have already met the use of "=>" in an imperative to print
something out. For example the following prints out a list of words:

    [tom dick harry] =>
    ** [tom dick harry]

-- -- Assignment

Another very common form of imperative is an 'assignment', using the
assignment arrow '->'. Here is how you assign a number to be the
value of the variable 'x' and another to the value of y:

    99 -> x;
    99 + 5 -> y;

In both cases the left hand side is an expression which denotes a
number. The whole thing says: 'take the thing denoted by the expression
on the left, and make the thing on the right (the variable x or y),
refer to it from now on. Thus, in the second example y will refer to
104. This can be tested with another imperative:

   y =>
    ** 104

Normally an imperative which does not end with the print arrow "=>",
must end with a semi-colon, which is an "imperative separator". Later
we'll see that if an imperative is embedded in a larger structure it
does not always need the semi-colon to terminate an imperative or

-- . A few more examples of assignments:
To give the variable x the value 33 do:

    33 -> x;

to give the variable y twice the value of x do:

    x + x -> y;


    (x + x) -> y;

Notice the difference between using the variable on the left and on the
right of an assignment. On the left its existing value is USED. On the
right a new value is SET, or assigned. So to assign the value of x to y

    x -> y;

To assign a list of numbers to list1 do something like:

    [ 1 2 3 4 5 ]  -> list1;

To assign a list of words to list2:

    [cat dog mouse elephant] -> list2;

To assign a list like list1 but in reverse order to x, do:

    rev(list1)  -> x;
    x  =>
    ** [5 4 3 2 1]

Although what rev does is intuitively clear, stating precisely what it
does is slightly tricky: rev takes as input (off the Pop-11 stack) a
list L1 and creates a new list L2 containing the same elements as L1,
but in the opposite order. L2 is returned as the output of rev.

Notice that rev does NOT reverse the original list: that can remain
totally unchanged, as can be tested:

    list1 =>

-- -- Multiple assignment

Pop-11 allows you to assign to several variables at the same time, using
a single assignment arrow. First we declare three variables, then we
assign the numbers 111, 222, and 333 to them.

    vars num1, num2, num3;
    111, 222, 333 -> (num1, num2, num3);

    num3 =>
    ** 333

(Multiple assignments did not work in the earliest versions of Pop-11).

-- -- Declarations of dynamic and lexical (static) variables.

Declarations may be used to introduce new variable names. E.g.

    vars x, y;

This 'declares' to Pop-11 that you wish to use the names 'x' and 'y' as
names for objects. It is a global and dynamic variable declaration. Any
number of variables may be introduced in one declaration. The same
syntax is used for introducing both global variables and variables that
are local to a procedure, explained below.

Lexical variables are declared using a similar syntax, but using "lvars"
instead of "vars".

    lvars num, lista, listb;

declares three lexical variables.

The difference between lexical and non-lexical (= dynamic) variables is
rather subtle and will not be explained fully here (but see the Note
below). The main difference is that a variable declared using "vars" is
dynamic and global and can be potentially accessed by any procedure, no
matter whether it is defined in the same file as the "vars" declaration
or somewhere else, whereas a lexical variable has a more restricted

Such a variable can usually be accessed only by instructions in the
procedure in which the variable was declared, or by procedures in the
same file, or by procedures in the same compilation stream, as explained
in the file HELP LEXICAL. The word "lexical" is used to indicate that
the scope of the variable is determined by the textual context in which
it is declared.

For most purposes programs will run more quickly and be less liable to
errors if the variables which are local to a procedure are declared as
lexical using "lvars". (However, if variables are to be used in
connection with the Pop-11 pattern matcher, explained in a later
chapter, they may need to be declared using "vars", not "lvars".)

In some Poplog implementations some of the lvars will allocated to
registers. E.g. on the VAX, the first two lvars in each procedure are
treated as names of registers, for efficiency. On SPARC machines, the
first seven lvars are held in registers. (These numbers may change.)

There are, in fact many different sorts of declarations, used for
telling the Pop-11 compiler that a symbol is to have special
properties, but they will not be discussed in detail in this primer.

For more information see these online Poplog files:


For many purposes it does not matter whether you use "vars" or "lvars".
However using "vars" rather than "lvars" for local variables can
sometimes lead to obscure bugs. Also "lvars" variables are generally
more efficient and allow some more powerful constructs to be used when
procedures create new procedures while running. (Advanced programmers
can get more information from the HELP LEXICAL and HELP LVARS files.
The latter explains how so-called `lexical closures' can be produced in
Pop-11, as happens in functional languages such as Scheme, ML, Miranda
and Haskell.)

Normally, unless you have a special reason for using "vars", such as
wanting to use the Pop-11 pattern matcher (explained in TEACH MATCHES,
and in Chapter 7, below), you should always use "lvars" for local

For making changes to a Pop-11 global variable constrained to a
particular procedure, the local declaration "dlocal" may be used, as
explained in HELP DLOCAL. This is normally required only for advanced

A slightly less convenient version of the matcher has been distributed
with Poplog for many years. It is described in HELP FMATCHES and works
with lvars and sections, and can be used by experienced programmers.

However, it has a number of restrictions, and it is more convenient to
use the "!" prefix which converts patterns so that pattern variables can
be lexically scoped.
This utility is now included in the standard linux poplog distribution.


Its use is essential to Poprulebase and Sim Agent.

-- -- Declarations may contain initialisations.

It is often convenient to combine a declaration followed by an
assignment into a single imperative. Thus, instead of writing the

    vars list1, list2;
    lvars num1, num2;

    [a b c] -> list1;
    list1 <> [d e f] -> list2;

    33 -> num1;
    num1 * 2 -> num2;

You can write the more compact, and perhaps clearer version:

        list1 = [a b c],
        list2 = list1 <> [d e f];

    lvars num1 = 33, num2 = num1 * 2;

Note that each initialisation consisting of the form

    <variable> = <expression>

MUST be followed by a comma, unless it is the final one, in which case
the semicolon ends the list of declarations.

WARNING: people who are used to using the symbol "=" as an assignment
symbol may be confused into thinking that it can be used for assignments
from right to left in Pop-11, like "=" in C, and ":=" in Pascal. This is
not so. In Pop-11 "=" is used for initialising a variable ONLY in the
scope of a variable declaration, such as "vars" or "lvars" or "dlocal",
etc. In other contents the assignment arrow "->" should be used, as
shown above.

Programmers who forget this point and write things like

    z = x + y;

will in fact not assign a value to z but create an expression which does
a comparison of the two values on the left and right of "=", which will
result in the value TRUE or the value FALSE being produced. That value
is left on the Pop-11 stack, as explained above.

-- -- Variables and constants

If you wish an identifier to be given a value once only, which is never
changed thereafter, you can declare it using "constant" or "lconstant",
the former being used for global constants, to be accessible everywhere,
and latter being used for lexically scoped identifiers, usually
accessible in only one file or one procedure. Constant declarations may
also include initialisations.

Examples are

    constant number_of_rooms = 66;

    lconstant pattern = [ ?subject ?verb ?object];

-- -- Using mixed case and underscores in variables

Note: Pop-11 is a mixed-case language, so that each of the following:

    list, LIST, List, lisT

is treated as different, and they can be used as names of different
variables (though this is likely to cause confusion). Most system words
use only lower case, though many of the identifiers concerned with the X
window system include upper case letters.

Users may declare variables using upper or lower
case. So:

    lvars cat, Cat;

declares two different variables.

Occasionally we use upper case in our text, to refer to lower case
identifiers, e.g. IF and ENDIF in order to make the words stand out.

One issue on which opinions vary is whether to use capital letters or
"underscores" to form long identifier names, e.g. some people would call
a procedure


whereas others would prefer


There is no right answer. Many Pop-11 and VED system identifiers use
underscores, e.g. procedures used by the compiler, such as:

    pop11_comp_constructor   pop11_comp_declaration
    pop11_comp_expr_seq      pop11_comp_expr_seq_to
    pop11_define_declare     pop11_define_props
    pop11_exec_stmnt_seq_to  pop11_loop_end
    pop11_loop_start         pop11_need_nextitem

On the other hand, many of the system identifiers concerned with the
interface to the X window system use mixed case, following the
conventions of the X system, e.g.

    XpolAppContext      XptActionHookWrapper    XptActionList
    XptCheckCacheType   XptCheckCallbackList    XptCheckKeySymTable
    XtWindowOfObject    XtUnmapWidget           XtUnrealizeWidget
    XpwSetFont          XpwTextWidth            XptCallbackList

and hundreds more!

-- -- Using undeclared variables

Variables may be used without being declared. This is equivalent to
declaring them globally, except that Pop-11 prints out a warning

    3 -> xx;
    ;;; DECLARING VARIABLE xx       (Printed by Pop-11)

If you attempt to declare a variable which is already part of the Pop-11
system vocabulary, for example:

    vars define;

you will get a mishap message:


-- . NOTE on variables for experienced computer scientists:

Like many implementations of the language LISP, Pop-11 has two kinds of

(a) Lexically scoped identifiers (declared using "lvars", "lconstant",
    and "dlvars", as explained in HELP LEXICAL, HELP LVARS), which can
    only be accessed within the smallest enclosing text block in which
    they are declared. Such a text block may be any of the following:

    o   a procedure
    o   a lexical block delimited by "lblock  ... endlblock"
    o   a file
    o   a "compilation stream" (See REF PROGLIST)

(b) Dynamically scoped or "permanent" identifiers (usually either
    declared globally using "vars" or "constant", or made local to a
    procedure using "vars" or "dlocal"). Once these have been declared,
    they can be accessed globally, that is by expressions using those
    variables in other procedures, other files, etc. (The section
    mechanism described later (and in HELP SECTIONS) can be used to
    restrict unwanted access to permanent, dynamically scoped,

Dynamically scoped variables can in principle be implemented using
either "deep binding" or "shallow binding".

o Deep binding, as used in Interlisp, stores variables and their values
in a list, often called "oblist". This has the form of a list of
name-value pairs, so that access to the value of a variable requires
searching along the list to find the "most recent" binding for the
variable. Starting a new procedure P in which X is a local variable
merely requires adding a pair of items to the list, X and its value.
While P is active, accessing or updating the value of X will use that
most recent occurrence, ignoring others further along the list,
representing local variables of other currently active procedures higher
up the calling chain. However if another procedure Q is invoked by P or
by something it invokes, and Q uses X as local, then Q will add another
name-value pair for X to the front of the list, thereby "shadowing" the
pair added by P. When Q procedure finishes it removes all the name-value
pairs corresponding to its own local variables from the list, so that
the previous ones will again be found by searching along it. Similarly
when P finishes it will remove its name-value pairs allowing older
bindings for X to be accessed.

o Shallow binding, by contrast, always stores the value of a variable,
e.g. X, in the same portion of memory. This means that when a procedure
P in which X is a dynamic local variable starts up, the existing value
of X has to be saved somewhere (sometimes referred to as the "auxiliary
stack"), so that the value can be restored when P finishes execution.
The saved values need to be stacked, since whenever a procedure using
X as local finishes, the top of the stack for X is copied back to the
standard location for values of X and the stack shortened by one.

Shallow binding makes accessing values much faster than deep binding
since no searching along a list is required. However deep binding makes
context switching easier since all that's needed is to add or remove an
initial segment of oblist, requiring a few pointers to be manipulated,
whereas shallow binding requires all the values of local variables to
saved (by copying) when a context is entered, and copied back when the
context is left. Pop-11, like some, but not all, Lisp systems, uses
shallow binding for dynamic local variables.

Lexical variables are more efficient than both, and introduce fewer bugs
due to unintended interactions between programs, but they can be less
flexible in some ways. Older versions of Pop-11, like older versions of
Lisp, had ONLY dynamic variables. So the older text books for Pop-11 and
older TEACH files use only "vars", even in situations where "lvars"
would be preferable. This Primer uses "lvars" by default, except where
"vars" is needed, e.g. for pattern matcher variables, or global

There are some people who dislike lexical scoping and use only "vars".
There are others who think that only lexical scoping should be used, and
who never use "vars" for local variables!

(End NOTE on variables for experienced computer scientists.)

-- Procedure definitions are initialised identifier declarations

The previous chapter gave several examples of procedure definitions, in
connection with the "rooms" database. These are all examples of
imperatives. Each of those imperatives implicitly declared a new global
variable, the name of the procedure, and assigned a procedure to it.

As an example, here is the definition of a silly little procedure called
'silly' which takes one thing as input and then prints it out twice
using the print-arrow:

    define silly(item);
        item =>  item =>

This contains an implicit global declaration of 'silly' as the name
of a variable, whose initial value is the procedure defined here. I.e. a
procedure definition is like a declaration that includes an
initialisation. Just as we can use a declaration to initialise a
variable to refer to a list, as in

    vars people = [mary tom suzy dick];

so we can use the form

    vars <name> = procedure ..... endprocedure;

to initialise a variable to refer to a procedure. The full syntax for
this will not be explained till later. The main thing for now is to
point out that the above definition of "silly" could be re-written as
follows, using the syntax "procedure ... endprocedure" to form an
expression that refers to a procedure without naming it:

    vars silly =
        procedure (item);
            item =>  item =>

    ;;; Now test it
    silly([the cat]);
    ** [the cat]
    ** [the cat]

However if silly is defined this way it will not have a name as part of
the procedure, so printing it will not give its name:

    silly =>
    ** <procedure>

We can give it a name using the updater of "pdprops", thus

    [silly] -> pdprops(silly);
    silly =>
    ** <procedure silly>

Note that the pdprops can be a list in which case only the first item
will be used as the name. Other information associated with the
procedure can be stored in the list. If no further information is needed
then the name can simply be a word:

    "silly" -> pdprops(silly);
    silly =>
    ** <procedure silly>

What the "define silly(item); ... enddefine" syntax does is equivalent
to the above initialised declaration plus storing the word as the name
of the procedure. See also HELP PDPROPS, and REF PDPROPS

-- Global and local procedure definitions

Where a procedure is to be accessible only within another procedure, or
only within a file, its name can be made into a lexical identifier, e.g.

    define lvars silly(item);
        item =>  item =>

Or if there is no requirement ever to be able to change the value of
silly to be another procedure, or anything else, then it can be defined
as a lexical constant, as in:

    define lconstant silly(item);
        item =>  item =>

Warning: If you define a procedure using lvars or lconstant like this,
you will not be able to test it by typing in commands using it. You can
invoke it only by calling other global procedures that call these
procedures, and are compiled in the same "lexical context". E.g.

    define lconstant silly(item);
        item =>  item =>

    define test_silly(item);
        [^item is about to be given to silly] =>

If, in the editor, you mark and load both of those at the same time,
then test_silly can be used to run silly:

    test_silly([hello there]);
    ** [[hello there] is about to be given to silly]
    ** [hello there]
    ** [hello there]

But if you redefine silly you will have to recompile test_silly also, as
they have to be compiled in the same compilation stream for test_silly
to access the lexically scoped silly.

-- Procedure calls in Pop-11 ------------------------------------------

The definition of silly included two imperatives of the form "item =>".
These printing instructions are not obeyed at compile time, when Pop-11
reads in the definition. Rather, a procedure is then created in which
the instructions are stored for future use (in the same login session -
if you leave Poplog and then restart it later, it will not remember your
previously compiled procedures, unless you make use of the saved image
mechanism, described in HELP SYSSAVE).

So we need a means of telling Pop-11 to actually obey the instructions
after they have been compiled.

We also need to tell Pop-11 which object it should give to silly as the
'item' to be printed out twice. This is done by writing the name of the
procedure, followed by parentheses specifying the inputs (arguments) of
the procedure:

    silly([mary had a little lamb]);

Given the above definition of the procedure silly, this would cause
the following to be printed out:

    ** [mary had a little lamb]
    ** [mary had a little lamb]

Terminology varies. We may say the compiled procedure is 'run',
'invoked', 'obeyed', 'executed', or 'applied'. These all mean roughly
the same, though some may be more natural in certain contexts. For
instance we say the procedure silly was 'applied' to the list

    [mary had a little lamb]

Some procedures take no arguments (no inputs). They are run without
being applied to anything, though they still need the parentheses after
the procedure name to signify that running is required, and not just
reference to the procedure itself. One such procedure is the system
procedure sysdaytime, which produces a string of information about date
and time. We can run it, with no inputs, and use the print arrow to
print out the resulting string. Note the empty parentheses signifying
that the procedure needs no inputs:

    sysdaytime() =>
    ** Sun Feb 27 11:56:11 GMT 1994

Contrast what happens without the imperatives:

    sysdaytime =>
    ** <procedure sysdaytime>

-- -- Imperatives end with separators

Notice that all the imperatives requesting that Pop-11 do something
ended with either a semi-colon or a print-arrow. Pop-11 will not start
executing the imperative until it finds the semi-colon or the
print-arrow, since until then it is not sure whether the imperative is
complete or some additional portion is to be added. This is because
Pop-11 allows a single command to be spread over several lines.
(Individual lines and whole commands can be as long as you like:
newlines and spaces are equivalent in Pop-11).

-- Using infix operators ------------------------------------------

In the imperative

    3 + 4 =>

the symbol "+" acts as the name of a built-in procedure to be applied
to the numbers 3 and 4. The symbol "+" is called an 'infix operator'
because you can run the procedure by writing the name between the
inputs, although the following "parenthesised prefix" syntax would work
just as well:

    +(3, 4) =>
    ** 7

Just as "+" can be used for addition, so can the asterisk "*" be used as
an infix operator for multiplication. So:

    3 * 5 =>
    ** 15
    999 * 999 =>
    ** 998001

Pop-11 provides many built in procedures whose names function as infix
operators. Other examples are the equality predicates "=" (which tests
for the same type of object with equal components), "==" (which tests
for the very same object), the STRING concatenator "><", the generic
structure concatenator "<>", the list constructor "::", and other
arithmetic operators for division "/", remainder "rem", subtraction "-"
and exponentiation "**". (That is not a complete list.)

Infix operators have a numerical precedence which determines how they
should be grouped if combined in complex expressions, like "x + y * z",
and this is explained in Chapter 4. Chapter 4 also shows how users can
define their own infix operators.

-- Procedures which produce results -------------------------------

Just as procedure definitions can extend the range of imperatives in
Pop-11, so can they also be used to extend the range of expressions. For
example, here is a procedure which, when given two numbers, produces
another number which is got by doubling the first two then adding.

    define doublesum(num1, num2) -> total;
        num1 + num1  + num2 + num2 -> total;

This defines a procedure whose name is "doublesum" and which has two
input (lexical) local variables, namely num1 and num2, and one output
(lexical) local variable, namely total.

There are several different formats for procedure definitions, but
we have now seen the two most common -- one which produces no
results and one which produces a single result. The formats for these
are as follows:

    define <name> (<arguments>);
        <declarations of local variables>;
        <body of procedure>

    define <name> (<arguments>) -> <name of result>;
        <declarations of local variables>;
        <body of procedure>

If the input and output variables are not declared explicitly, they will
default to lexical variables, as if "lvars" had been used. Before
Poplog version 15, the default was as if "vars" had been used.

(Experienced programmers can use a compile_mode declaration, described
in the file HELP COMPILE_MODE, to control what happens to undeclared
input and output locals.)

Given the above definition of doublesum, the expression

    doublesum(2, 3)

invokes the procedure, applying it to the numbers 2 and 3. More
precisely, it first puts the two numbers on the stack, and then invokes
the procedure. The procedure takes whatever inputs it requires from the
Pop-11 stack, and then when finished puts its results on the stack, in
this case the result of evaluating the expression 2 + 2 + 3 + 3, which
gives the number 10. We can say that the whole expression
"doublesum(2,3)" 'denotes' the number 10.


    doublesum(4, 5)

is an expression which denotes the number 18. Did you notice that
DOUBLESUM is effectively the same procedure as PERIM, defined in the
rooms example in chapter 1, even though its name, and the names of the
variables it uses, are different? Convince yourself of the equivalence
by studying them closely. Although they are different internally, they
take the same sorts of arguments, and produce the same sorts of results,
computed in the same way.

Generally, if a procedure produces a result then its name can be used to
form an expression, by supplying it with appropriate argument

The arithmetic procedures "+" and "*" also produce results, and so
by applying them to arguments we can form expressions denoting

    3 + 5

    3 + 5 * 2

The latter denotes 13, since the multiplication is done before the
addition, for reasons which will be explained later.

When we define a procedure we specify whether it needs to be given any
input and whether it produces any 'results'. For example the procedure
silly was defined so as to take one thing as its input. We say it takes
one 'argument'. Doublesum was defined to take two arguments, and produce
one result. Silly printed things out, using the print arrow, but that is
not the same as producing a result.

-- -- Procedure output values and the stack

When a procedure produces a result, the result is available for use by
other procedures in the computer. But if something is printed out on the
screen, this can't be used by other procedures, since the computer
cannot see what is on the screen. Instead, results are stored for
internal use in a special portion of the computer memory called the
'stack'. This will be explained in more detail later. When a result is
produced it can be assigned to a variable, or used as input to another

    vars x;
    3 + 4 -> x;                 ;;; assign the result of + to x.

    silly (3 + 4);              ;;; result of + is input to silly.

The word "output" can be ambiguous: referring either to something
printed out, or to a result left by a procedure on the 'stack'. (Later,
in Chapter 3, we explain in more detail what the stack is and how it
works.) When we talk about a procedure producing output the context
should make clear which is intended: printing something out, or leaving
a result on the stack. Students often confuse printing something out and
leaving a result internally for another procedure to use, because both
can be described using the word "output". Similarly the word "input" is
used sometimes to refer to information typed in from a terminal or read
in from a file, and sometimes to refer to the arguments handed to a
procedure by another procedure within the machine.

The arithmetic procedures + and * each take two arguments (two numbers)
and produce a result, one number which is left on the stack. Neither
directly reads anything from the terminal nor prints anything out to the
terminal, though they can be made to do so, e.g. the following could be
part of an interactive session with Pop-11

    : itemread() + itemread() =>
    : 22
    : 33
    ** 55

Where "itemread()" runs a procedure to read in an item from the

-- -- Procedures returning more than one result

In Pop-11 a procedure can return any number of results, 0, 1, 2 or more,
or even a variable number. E.g. the procedure explode, which takes a
list or some other structure containing several items and produces the
contained items as results, produces different numbers of results.

    vars list1 = [a b c], vect1 = {1 2 3 4 5};

    explode(list1) =>
    ** a b c

    explode(vect1) =>
    ** 1 2 3 4 5

The procedure "dest" when given a list, returns exactly two items, the
head of the list (the first item) and the tail of the list (a list of
all other items).

    dest(list1) =>
    ** a [b c]

The notation for defining a procedure that returns two results is a
slight extension of the notation shown previously. E.g. suppose you
wanted to define a procedure that when given two lists as input,
list1 and list2, returned two lists as output, namely list1 concatenated
with list2, and list2 concatenated with list2. You could define the
procedure with two output local variables thus:

    define join_two(list1, list2) -> (out1, out2);
        list1 <> list2 -> out1;
        list2 <> list1 -> out2;

    ;;; Now Test it
    join_two([a b c], [1 2 3]) =>
    ** [a b c 1 2 3] [1 2 3 a b c]

The two outputs can be simultaneously assigned to two variables;

    vars new1, new2;

    join_two([a b c], [1 2 3]) -> (new1, new2);

    new1 =>
    ** [a b c 1 2 3]
    new2 =>
    ** [1 2 3 a b c]

The same sort of notation can be used for a procedure that produces
three results.

-- Exercises ----------------------------------------------------------

1. Define a procedure with one input variable and three output locals,
that takes a three element list of numbers as input and produces as
output the squares of those three numbers (using "x * x" to get the
square of x).

2. Try changing the definition of join_two to use initialised
declarations for two of its variables, so that it becomes more compact,
using the format:

        out1 = .... ,
        out2 = .... ,

It will have only four declarations and no additional instructions, but
it will still work.

-- Introduction to printing in Pop-11 ---------------------------------

-- -- Two forms of print-arrow

Pop-11 provides several means of printing information so that it goes to
the terminal, into a file, into the editor buffer, or into a

One of the most commonly used is the print-arrow, which we have seen
previously. This comes in two versions.

   => (ordinary print arrow)

        This prints everything 'on the stack', preceded by '**', unless
        called from inside a procedure, in which case it prints out only
        the top item of the stack, preceded by '**'.
        The stack is explained below. Roughly think of => as printing
        out the 'unused' results of previously executed procedures.

   ==> (pretty-print arrow)

        This prints out only ONE object. If the object is a list or a
        vector, then if printing it out would take more than one
        line, the object is printed in a special format using
        indentation to make its structure clearer.


    33 + 66 =>
        ;;; print sum of 33 and 66, preceded by two asterisks.
    ** 99

    234 + 22  >  33 * 66  =>
        ;;; is 234 + 22 bigger than 33 times 66?
    ** <false>

    X + 5 < Y =>
        ;;; is the sum of X and 5 less than Y?
        ;;; X and Y should have numbers as values.

    99 + 5 = 95 + 9  =>   ;;; is 99 + 5 equal to 95 + 9?
    ** <true>

    X = Y  =>       ;;; does X have the same value as Y?

    X =>            ;;; print out the value of X.

    10 // 3 =>      ;;; prints out remainder and quotient

    ** 1 3

Complex structures, like lists of lists, can print out in a rather messy
and unreadable manner using "=>"

    [a [nested list of several words] and [another nested list
               of several words] too long to print easily] =>
    ** [a [nested list of several words] and [another nested list of several
         words] too long to print easily]

Compare how the pretty print arrow prints the same list:

    [a [nested list of several words] and [another nested list
               of several words] too long to print easily] ==>
    ** [a [nested list of several words]
          [another nested list of several words]
          too long to print easily]

When lists are deeply nested the printout from => can be very confusing,
so it is then best to use ==> instead. You can in fact always use '==>'.
This is especially useful for a list of several lists of similar format.
E.g.: Make a list of lists of information about people

        [the mother of mary is suzy]
        [the father of mary is joe]
        [the mother of joe is miranda]
        [the father of joe is fred]
    ] ==>

Which causes the following to be printed out neatly:

    ** [[the mother of mary is suzy]
        [the father of mary is joe]
        [the mother of joe is miranda]
        [the father of joe is fred]]

Whereas using => would have produced:

** [[the mother of mary is suzy] [the father of mary is joe] [the mother
         of joe is miranda] [the father of joe is fred]]

Note that => or ==> can be used to terminate an imperative without a
semi-colon. They act as 'separators' for imperatives.

-- -- Other printing procedures

Pop-11 provides a number of built in procedures for printing things
in a more controlled format than the print arrows. In particular, the
procedures pr and spr print things without starting a new line, and
without printing the asterisks '**'. The difference is that spr prints a
space after printing its argument. So:

    pr("cat"); pr("mouse"); spr("hat"); spr("coat"); pr(99);
    catmousehat coat 99

Similarly npr can be used to print things separated by newlines. It
prints a newline after printing its argument.

    pr("cat"); pr("mouse"); spr("hat"); npr("coat"); pr(99);
    catmousehat coat

Using the built in printing procedures, it is fairly easy in Pop-11
to define your own procedures to print things out in whatever format
you like. More information about printing can be found in the
online file HELP PRINT. The REF PRINT file gives more complete
information about printing mechanisms. There are utilities that simplify
formatted printing, in particular the procedure printf, described in

-- Conditionals and conditions ------------------------------------

One of the things which makes computers so versatile is their
ability to decide for themselves what to do, instead of always doing
exactly what they are told. This often depends on the use of
conditionals, i.e. commands to do something if something is true.
Pop-11 includes conditionals, of which a simple form would be

    if <condition> then <imperative> endif

for example,

    if x = 10 then x => endif;

which will print out the value of x, if it is 10, and do nothing
otherwise. Conditionals must include a 'condition' between "if" and
"then", and may include any arbitrary Pop-11 imperative (which may be a
sequence of imperatives) after "then". Conditionals are often typed over
several lines when they are more complicated than the above example. For

    if x = 10 and y > 19
    or member(x, list)
        x =>

A condition is an expression whose value is either the object TRUE
or the object FALSE. These are called 'boolean' objects, of which
there are exactly two in Pop-11. (They are named after George Boole
the logician.) There are two built in system names, "true" and
"false" which refer to the booleans. They print out as <true> and

    true =>
    ** <true>
    false =>
    ** <false>

In the above conditional, the expression 'x = 10' could serve as a
CONDITION, because its value will be either true or false. E.g.

    vars x;
    99 -> x;
    x = 10 =>
    ** <false>

This in turn is because the infix operation symbol '=' denotes a
procedure which always returns a BOOLEAN. It compares its two
arguments, and if they are the same the result is true, otherwise
false. (Strictly speaking "=" is more complex than this, since the
type of comparison it performs can be made to depend on the types of
objects compared, as explained in HELP CLASSES and REF KEYS. A more
detailed explanation of how "=" compares complex structures is provided

-- Predicates and recogniser procedures -------------------------------

Any procedure whose result is always a boolean is called a PREDICATE.
Besides "=" there are several other predicates which compare two numbers
and produce a boolean result, e.g. ">", "<".

    vars x = 22;
    x > 10  =>
    ** <true>

Some predicates take a single argument, for instance RECOGNIZER
predicates, like isinteger, isword, isprocedure, islist, and several

    isinteger(99) =>
    ** <true>
    isword(99) =>
    ** <false>
    isword("isinteger") =>
    ** <true>
    isprocedure(isinteger) =>
    ** <true>
    isprocedure("isinteger") =>
    ** <false>

In Pop-11 there is nothing to stop a procedure being applied to itself:

    isprocedure(isprocedure) =>
    ** <true>

We have so far said that a condition is an expression whose result is a
boolean. To be more precise, Pop-11 is defined to treat anything other
than false as if it were true, between "if" and "then" (and in similar
contexts explained later), so a condition may produce a result other
than true. This is sometimes convenient, when a procedure is given the
task of finding or creating something, in which it may not always
succeed. Then the result false can be used to indicate failure and any
other result will be the object found, which may need to be used by
other procedures. Thus a program could include code like the following:

    try_create_solution(....) -> found_thing;   ;;; may be false
    if found_thing then

In Pop-11 this can be abbreviated, using the duplicating assignment
operator "->>", as follows:

    if try_create_solution(....) ->> found_thing then

Similarly the system predicate lmember returns either false, or the tail
of a list containing the item found:

    vars colours = [red orange yellow green blue indigo violet];
    lmember("pink", colours) =>
    ** <false>
    lmember("blue", colours) =>
    ** [blue indigo violet]

The fact that some predicates return a non-boolean result instead of
true is used by the Pop-11 pattern matcher, described later.

-- Summary of syntactic roles in Pop-11 programs ----------------------

Portions of Pop-11 programs described so far may be classified as
follows -- the diagram is incomplete, and may be expanded by looking
back over this chapter:

                |                    |             |         etc...
            expressions           assignments   declarations
                |                               |          |
    __________________________      variable declarations  |
    |       |      |  |    |                               |
numerals    |      |  |  conditions             procedure definitions
       quoted words|  |
                   |  |
              strings |
                    list expressions

-- Lexical analysis and the Pop-11 itemiser ---------------------------

A program file read in by Pop-11 or a command typed in is basically
a stream of characters. Somehow the Pop-11 system has to break this
input stream into meaningful components which it can recognise and then
translate into machine code instructions of various sorts. This happens
in two stages.

The first stage is called 'lexical analysis' or 'tokenising' or
'itemising'. This breaks the stream of characters into separate 'text'
items that form the basic building blocks of programs. These building
blocks are

o words, including syntax words, procedure names, user variables, etc.

o strings, which are delimited by the string quote symbol "'"

o numbers, including integers, decimals, ratios and complex numbers.

The rules for breaking text up into these text items, are explained
fully in REF ITEMISE. Only a subset will be explained here.

The second stage of analysis is even more complicated and involves
grouping these text items into recognisable syntactic forms, such as
procedure calls, assignments, loops, conditionals, declarations,
definitions of procedures, and so on. This is usually called 'parsing',
though Pop-11 does not create a parse tree.

There is a third stage which involves translating these recognisable
forms into machine code instructions. This is sometimes called

All the above occur at compile time. Later on, at run time, the compiled
instructions can be executed.

The following sections will describe the first stage of compilation,
i.e. the processes involving the itemiser.

-- Itemisation rules in Pop-11 ----------------------------------------

We have so far assumed that we can treat Pop-11 programs as made of
numbers and words which can be combined to form expressions,
or imperatives, or sequences thereof. But what is actually typed in,
or read in from a file is a sequence of characters. For instance the
following is a sequence of five characters, which has to be broken
up into four items, the number 3, the word "+" the number 55 and the
word "=>" :


The Pop-11 'itemiser' applies quite complex rules to decide how to
divide up the stream of characters into meaningful chunks. For instance,
if you type:

    [a little list,and,6*5]

this is read as 11 items:

    [  a  little  list  ,  and  ,  6  *  5  ]

and in fact they will be interpreted as an instruction to build a list
containing nine items: seven words and two numbers. (Non alphabetic
characters can also be used to form words, e.g. "+++", "##@##".)

To do this Pop-11 needs 'lexical' rules saying which sorts of characters
can be joined up with which, since you do not have to use spaces to
separate things. Besides things like spaces, tabs and newlines, which
are normally ignored by Pop-11, there are the following types of

Numeric:        0 1 2 3 4 5 6 7 8 9

Alphabetic:     a b c d e f g  ...  z
                A B C D E F G  ...  Z

Signs:          ! # $ & + - : < = > ? @ \ ^ | ~ / *

Underscore:     _

Separators:     ; " % ( ) , .  [  ]  {  }

String quote:   '

Character quote: `

-- -- Word formation in Pop-11

Unfortunately, Pop-11 has fairly complex rules for grouping characters
in the text input stream into words, although words created by programs
can contain arbitrary characters.

During program compilation, a letter followed by a series of letters and
numbers will be formed into a single word, e.g. list1, list2. But if a
text item starts with a number, then as soon as a non-number is reached
(e.g. the "l" in "1list") Pop-11 assumes that it should insert a break.
I.e. the text is separated into a number followed by a word. This can be
shown by typing in the following instructions to create and print out

    [list3] =>
    ** [list3]

    [3list] =>
    ** [3 list]

The second list is taken to have two elements, a number and a word.
The first has a single word "list3".

A numeric character may be buried in the middle of a word which starts
with letters, e.g. "list3a". Thus a word that starts with a letter can
be followed by any combination of numbers and letters.

The word quote symbol """ can be used to tell Pop-11 that you wish
to refer to a word, instead of using it as the name of something else
(i.e. as variable):

    "list3" =>
    ** list3

But if you give it an illegal combination of characters you will get
an error:

    "3list" =>
    ;;; INVOLVING: 3

You can also make a word out of certain non-alpha-numeric
characters, i.e. sign characters:

    "*+*+*::\/^" =>
    ** *+*+*::\/^

But you cannot mix letters and sign characters:

    "+x" =>
    ;;; MISHAP ...

and in a list they will be separated into two:

    [+x] =>
    ** [+ x]

However, the underscore character can be used to join alphanumeric
type characters to sign characters, e.g. here are two lists each
containing only one word:

    [+_x] =>
    ** [+_x]

    [apple_#@$=>] =>
    ** [apple_#@$=>]

The underscore can also be used as a convenient way of producing
long names which are readable. E.g. the following is the name of a
system variable:


-- . Using the underscore to join letters and sign characters

In general a sequence of characters made of "sign" characters and
letters will be broken at the point where the two sorts of characters
meet, unless they are joined by an underscore symbol "_", e.g.

    fast_++         ++_lists_++

Two of the sign characters `/` and `*` play a special role in that they
can be combined to form the 'comment brackets', explained above. So
"/*" and "*/" cannot be used as ordinary Pop-11 words.

The separator characters cannot be used to join up with anything else,
except for the use of `.` in decimal numbers (e.g. 66.35). This is
because separators play a special role in the syntax of Pop-11. E.g. the
following is a list of seven items

    [(.,)a"!] =>
    ** [( . , ) a " !]

The semicolon, though normally a separator which marks the end of an
imperative has a special role if repeated three times without anything
between: it marks an 'end of line' comment as explained previously. E.g.

    6 * 6 =>        ;;; this bit on the right is ignored!
    ** 36

Some of the characters have special roles which will not be explained
fully till later. In particular '%' can be used both in creating
procedure closures by 'partial application' and in 'unquoting' part of a
list expression. (The file TEACH PERCENT gives a tutorial introduction
to both.)

-- . Strings can contain arbitrary characters

Strings, created using the string quote character can contain
arbitrary characters:

    'this is a *+*+*+* string %&$%$ of rubbish!!!'

except that if you wish to include the string quote itself in the string
it must be preceded by the backslash character \ to indicate that it
does not mark the end of the string. Here is a string containing the
string quote:

    'isn\'t it' =>
    ** isn't it

Note that strings are normally printed without the outer quotes. To make
the quotes appear, do

    true -> pop_pr_quotes;

-- -- Character quotes and string quotes

Characters themselves are represented by positive integers less than
256. Since it is difficult to remember which number represents which
character (the so called 'ASCII code'), the character quote can be used
to tell Pop-11 to read a character as representing the number. The
character quote, sometimes referred to as the "backquote" is the
backward sloping single quote character. It should not not be confused
with the forward sloping (sometimes displayed as vertical) single quote
character used to begin and end string expressions. Depending on the
printer used the string and character quotes in this document may have
different appearances.

    Here is the character quote symbol:     `
    Here is the string quite symbol:        '

Unfortunately neither symbol has a predictable location on keyboards:
they appear in different places on different keyboards.

Here are some examples using the character quote to represent characters
(as integers) without remembering their integer values. The letter `A`
has the code 65 and the numerals start from 48:

    `A` =>
    ** 65
    `B` =>
    ** 66
    `a` =>          ;;; lower case codes are different
    ** 97
    `0` =>
    ** 48
    `5` =>
    ** 53

If you wish to include non-printing characters in a string, see the
details in HELP ASCII. In particular you can use the following

    \s  = a space
    \t  = a tab
    \n  = a newline
    \r  = the return character (ascii 13)

    '\nA string\n\twith text\n\t\s\son three lines' =>
    A string
        with text
          on three lines

-- -- Double quotes with single quotes can form arbitrary words

If you really need to have a word containing arbitrary characters you
can create it by putting word quotes around the corresponding string.

For example

    vars funny_word = "'A word with spaces and junk:*&*=%][)))'";

    isword(funny_word) =>
    ** <true>

    funny_word =>
    ** A word with spaces and junk:*&*=%][)))

However, you would not be able to use such a word as the name of a
variable, since typing something like

    vars 'A word with spaces and junk:*&*=%][)))' = 999;

will produce an error.

    ;;; INVOLVING:  'A word with spaces and junk:*&*=%][)))'

-- -- Changing Pop-11's "itemiser" rules

To complicate matters further, it is possible to tell Pop-11 that you
wish to alter its rules, by using the procedure item_chartype. This is
especially useful when defining a new language in terms of Pop-11.
Details will not be given in this introduction. The on-line
documentation file REF ITEMISE gives more information, as does

-- Revision questions -------------------------------------------------

Here are some revision questions, answered earlier in this chapter.

1. What is a programming language?

2. What is declarative programming?

3. What are expressions?

4. What are imperatives?

5. What are declarations? What are initialised declarations?

6. Give examples of some of the sorts of objects Pop-11 expressions
    can refer to.

7. Give examples of some of the sorts of imperatives one can
    construct in Pop-11 and explain what they do.

8. Give an example of a Pop-11 procedure, and explain how it is used
    and what it does.

9. Define a procedure which takes in three numbers, adds up the
    first two, and then multiplies the result by the third. Your
    definition could start:

        define addmult(x, y, z) -> result;

10. What is the difference between defining a procedure and calling,
    running, or invoking it?

11. Explain with examples what it means to say that a procedure
    takes a certain number of arguments, and does or does not produce
    a result.

12. What is the difference between printing something out and
    producing a result?

13. What is the difference between '=>' and '==>' ?

14. What is a comment, and how are comments expressed in Pop-11?

15. What will the following print:


16. What are predicates and how are they used in conditions?

17. Which of the following words are legal in Pop-11?

        "cat5"  "5cat" "**+**"  "*cat*"  "_5cat"  "*_cat"

You can test each case by typing it in followed by "=>" to see if you
get an error.

18. What are compile time processes and run time processes?

-- Built in Pop-11 data types -----------------------------------------

We have seen that a programming language allows you to construct
expressions which denote objects, and we have seen some examples of
Pop-11 expressions. Programming languages differ in the range of
types of objects they can refer to. Often there is a fixed set of
"data types" built in to the language, e.g. numbers, words and

Some languages, including Pop-11, allow you to extend the set of data
types indefinitely. In Pop-11 this requires using the procedure CONSKEY,
or the DEFCLASS declaration (which is the basis for the RECORDCLASS and
VECTORCLASS declarations), which will be explained in a later section.
The OBJECTCLASS facility, based on these, allows still further extension
by permitting the user to define overlapping hierarchies of types of
objects with associated families of "methods" for operating on them.
(This is probably the most important feature of what is known as Object
Oriented Programming.)

For now we shall concentrate only on the built-in data-types, which
provide the basis of all other data-types. Most types of objects are
associated with special data-structures called "keys". For instance, the
key known as integer_key is associated with integers, and the key known
as string_key is associated with strings. The key associated with a
particular type of data is another data-structure of type "key" which
contains information about the type, including how to print it, which
procedures are provided for manipulating its contents (if it has
accessible contents), and so on.

Some data-types do not have keys because they are built-up from more
primitive data-types. For example there is not a list_key because lists
are built up from chains of pairs, so that the pair_key suffices.

-- Procedures associated with data-types ------------------------------

Besides keys, each data type in Pop-11 has a collection of associated
procedures, some for constructing new instances of that type (e.g.
consstring, consvector, consword, conspair) some for accessing or
updating components of structures (e.g. subscrs, subscrv, subscrw,
front, back), and some for recognising instances (e.g. isstring,
isvector, isword, ispair).

-- -- Generic procedures

There are also some "generic" procedures that are applicable to a wide
range of data-structures, including the following:

    o the equality and identity test procedures "=" and "==",
    o pr, the main printing procedure
    o explode which puts all components of a structure onto the Pop-11
    o datalist, which makes a list of components,
    o length and datalength which return the number of fields in
      a structure.
    o appdata which applies a procedure to all the components,
    o mapdata which takes a structure and a mapping procedure and
      produces a copy of the structure with the components mapped
    o copy, which copies a structure at top level, occasionally with
      results that surprise users, e.g. when applied to pairs.
    o copydata, which copies recursively
    o fill, which transfers items from the stack into the fields of
      a datastructure.
    o datakey, which returns the key associated with an object's type
    o dataword, which returns the word that names the object's type
    o allbutfirst, a procedure for creating a copy of a list or other
      structure minus the first N elements.
    o allbutlast, a procedure for creating a copy of a list or other
      structure minus the last N elements.
    o <> the concatenator procedure <>, which can join or "compose"
      lists, strings, words, vectors or even two procedures, to form
      a new more complex object of the same type as its inputs.
    o >< the "string concatenator" which takes any two printable objects
      and produces a string which combines their printing forms.

A generic feature of records, vector type objects and lists in Pop-11 is
that if an object O of one of these types is applied to a positive
integer N that is smaller than the length of O, then O is treated as if
it were a function and the result of O(N) is the Nth component of O.
Similarly the form can be used to update the N'th component, as in:

    -> O(N);

The behaviour of a structure applied to an object can be re-defined for
user data types using the class_apply facility, to specify how an object
should behave if treated as a procedure. (See HELP CLASSES, REF KEYS)

Other generic facilities are defined in the following online Poplog
documentation files:


Yet more generic procedures can be defined by the user via the
Objectclass library described briefly in Chapter 8, below.

The file REF NUMBERS describes generic mathematical operations that can
be applied to all types of numbers represented in Poplog, integers,
bigintegers, rationals, decimals, ddecimals and various kinds of complex
numbers. E.g. "+", "-", "*", "/", and "sqrt" are generic in this sense.

-- Data creation, memory management and the heap ----------------------

Every time a program creates a new object some space must be allocated
for it in working memory. Thereafter it is referred to by a pointer. The
exceptions are small integers and single precision decimals which need
no more space than a pointer, so they are simply copied to wherever they
are needed. They are called 'simple' objects, whereas the objects that
are referred to via pointers are referred to as 'compound' objects.

The Pop-11 memory manager (in Poplog it's the Poplog memory manager,
shared by all the Poplog languages) maintains a region of storage in
virtual memory space, in which compound objects are created, including
large numbers, strings, words, lists, vectors, and even procedures. This
area is known as the 'heap'.

Every now and again the attempt to create a new object is hindered by
lack of space in the heap. At that point an automatic garbage collection
program is invoked which works out which objects are no longer
accessible by any portion of the current program. The garbage collector
then rearranges the heap so that all the accessible objects are
compacted together (and all pointers to them are correspondingly
changed). This leaves additional space in the heap free for new objects
to be created. If there is no free space even after a garbage
collection, the storage manager will try to get more space from the
operating system in order to enlarge the heap (the limit to such
enlargement is set by the user-assignable variable popmemlim).

It is possible that eventually there is no more space in the machine,
and attempts to create new structures are foiled and the process has to
be abandoned. This can depend on what else is happening on the machine
at the time. The Poplog garbage collector is unusually fast for an AI
development environment, so most of the time users will not notice when
garbage collection happens.

-- . Note for experts

The above is an over simplification in that the Poplog system has to be
able to cope not only with ordinary Poplog structures, but also data
structures linked in via external programs, which might have been
written in C or Fortran. Moreover some of the Poplog structures may be
made accessible to external procedures. These complications require the
heap to have a mixture of sub-regions with different characteristics.
For example some regions are used by Poplog structures that cannot be
relocated by the garbage collector because external procedures will then
be confused. Also the heap may include 'holes' corresponding to regions
of memory that are used by external procedures to create structures that
Poplog (and Pop-11) cannot access. Readers who wish to know more should
consult the online files REF EXTERNAL and REF EXTERNAL_DATA

-- List of Pop-11 Data-types ------------------------------------------

For beginners most of the types listed below are irrelevant. It is
possible to achieve a great deal with only the following:

    words, strings, integers, decimals booleans, lists, vectors,
    procedures, and arrays

Beginners can therefore safely skim most of the rest of this chapter up
to the section on Objectclass.

The procedure datakey can be applied to any object to return its key.
The procedure dataword can be applied to any object to return its
dataword. E.g.

    dataword(999) =>
    ** integer
    dataword(2**40) =>
    ** biginteger
    datakey(66.66) =>
    ** <key ddecimal>
    dataword("word") =>
    ** word
    dataword(dataword) =>
    ** procedure
    dataword(word_key) =>
    ** key
    datakey(datakey) =>
    ** <key procedure>
    datakey({1 2 3}) =>
    ** <key vector>

What follows is a list of the data-types available in Pop-11 in Poplog
Version 15.01. For each type we give the name of the key (a special
record that provides information about the data-type), the dataword, and
the main REF file giving information about that type. (A list similar to
this can be found in REF DATA, and may be more up to date, as
sometimes new types are added to the system.)

-- . Poplog built in data types

     KEY NAME               DATAWORD            MAIN REF FILE
    XptDescriptor_key     "XptDescriptor"     REF XptDescriptor
    biginteger_key        "biginteger"        REF NUMBERS
    boolean_key           "boolean"           REF RECORDS/Booleans
    complex_key           "complex"           REF NUMBERS
    ddecimal_key          "ddecimal"          REF NUMBERS
    decimal_key           "decimal"           REF NUMBERS
    device_key            "device"            REF SYSIO
    dstring_key           "dstring"           REF STRINGS
    exptrvec_key          "exptrvec"          REF EXTERNAL_DATA
    external_ptr_key      "external_ptr"      REF EXTERNAL_DATA
    ident_key             "ident"             REF IDENT
    integer_key           "integer"           REF NUMBERS
    intvec_key            "intvec"            REF INTVEC
    key_key               "key"               REF KEYS
    nil_key               "nil"               REF LISTS
    pair_key              "pair"              REF LISTS
    procedure_key         "procedure"
            (procedures and closures)         REF PROCEDURE
                (properties)                  REF PROPS
                (arrays)                      REF ARRAYS
    process_key           "process"           REF PROCESS
    prologterm_key        "prologterm"        REF PROLOG
    prologvar_key         "prologvar"         REF PROLOG
    ratio_key             "ratio"             REF NUMBERS
    ref_key               "ref"               REF RECORDS
    section_key           "section"           REF SECTIONS
    shortvec_key          "shortvec"          REF INTVEC
    stackmark_key         "stackmark"         REF STACK
    string_key            "string"            REF STRINGS
    termin_key            "termin"            REF CHARIO
    undef_key             "undef"             REF IDENT
    vector_key            "vector"            REF VECTORS
    word_key              "word"              REF WORDS

In several cases there are also HELP files giving more information, e.g.

Future versions may include additional standard data-types, e.g. a
matchvar data-type for pattern matchers to use. Also users can extend
the list of types by defining some of their own.

-- Further information on built in data types

The following sections give more information on the data types listed
above. Here they are grouped according to their purpose, rather than
being presented alphabetically. Where there is special syntax for
creating instances, this is illustrated. Some of the main procedures
associated with the data-type are also listed. Most of the generic
procedures described previously are not mentioned again. Online HELP or
REF files giving further information are listed. In many cases further
information is given in other parts of this primer.

-- -- Words

Words are structures corresponding to a sequence of characters. They can
be used in one of three main sorts of roles:

o   data, i.e. objects operated on by programs, e.g. in lists

o   syntax words like "if", "define", "endwhile" which form portions of
    programs and define the program structure

o   names of objects, i.e. variable or constant identifiers

They can occur implicitly in programs as part of the code, or they can
be explicitly denoted by quoted word expressions like these:

     "cat",  "dog",  "***",  "a",  "xxx_yyy",  "(",  "!+*+*+!",  """
     "'a long mixed character word including spaces %$%$%3333!)(.;;'"

Expressions denoting words have strict formation rules sketched
previously.  Normally quoted words and program text words such as
variable names cannot contain spaces, or mixtures of characters of
different types. However there are procedures which can construct words
with arbitrary combinations of characters, and arbitrary sequences of
characters can be made into a quoted word by enclosing them in string
quotes with surrounding word quotes (as in the last example above). This
mechanism is not available for using variable names with spaces or
illegal mixtures of characters.

Words can be thought of as structures that include a string and other
information. In addition they are "standardised" in a dictionary, as
described below, unlike strings.

-- . The internal representation of words
A word is represented internally by a special record which includes
information about the characters making up the word (which can be
accessed by applying the procedure word_string to the word).

If the word is being used as a program identifier (as opposed to merely
being a data item in a list, for example) then the word record includes
a pointer to an ident record (described below) giving information about
the syntactic properties and associated value. This pointer can be
changed depending on what the current section is. If the word has a
syntactic role then the following procedures can be applied to it to
discover what the properties are:

        Returns "undef" for word with no syntactic role. Otherwise
        returns the numeric precedence, or one of "macro", "syntax",
        "syntax N" as described in REF IDENT

        Returns "undef" for an undeclared word, or a list of all the
        keywords used in the declaration of word, e.g. "global",
        "constant", "protected" etc.  See REF IDENT

        Returns or updates the global (permanent) identifier currently
        associated with the word (see below). This association will
        vary according to which section is 'current'.

-- . The Pop-11 dictionary
Words play a crucial role in Pop-11. Most of the items in a program text
stream are words, including syntax words like "if", "define", "lvars",
and also user-defined variable or procedure names, like "list", "rooms",
"x_axis", etc. In order to be able to tell quickly whether a word is one
that is already known, Pop-11 keeps all words, including both system
words and words introduced by the user, in a single global dictionary,
which makes use of hash-coding on the characters of the word for rapid
access. This makes it very easy to check whether a new sequence of
characters corresponds to a currently known word. If so, the existing
word record is used. If not, a new word record is created and entered in
the dictionary.

That explains why two occurrences of a word expression for the same word
will return the very same (i.e. identical word), unlike two occurrences
of a string expression, as shown when the strict equality predicate "=="
is used for comparison:

    "cat" == "cat" =>
    ** <true>
    'cat' == 'cat' =>
    ** <false>

The dictionary in Pop-11 corresponds roughly to the symbol table of a
conventional programming language, like Pascal or C, except that in
those languages the symbol table is used at compilation and link time
but is not normally required during program execution, whereas the
incremental compiler in Pop-11 requires the dictionary to be available
at all times, not merely during a compilation phase prior to execution
of programs. It is also required because running programs can create
words, e.g. using consword or <>.

The dictionary is not a structure that is accessible to users. However
the procedure appdic can be given a procedure which it will apply to
every word in the dictionary. For example the following expression will
create an alphabetically sorted list of all the words in the dictionary,
typically a list of several thousand items:

    sort( [% appdic(identfn) %] )

Additional procedures that operate on words include consword, destword,
isword, subscrw, subword, word_string, sys_current_ident,
and the concatenator <>

See REF WORDS and REF IDENT for further information.

-- -- Strings

Examples of string expressions:

    'a',  '21385d73::;+*)(&%',  'string with spaces'

A string is a vector of characters (8-bit integers). Relevant procedures
include inits, consstring, deststring, isstring, subscrs, ><, explode.

Non-printing characters can be represented in strings using special
conventions analogous to those used in C string expressions, as
explained previously e.g.

    \s  = a space
    \t  = a tab
    \n  = a newline
    \r  = the return character (ascii 13)

A string expression like 'cat' causes a corresponding new string to be
created by the lexical analyser each time such an expression is read in
while programs are being compiled. Thus a list like the following will
contain two strings with similar contents:

    ['cat' 'cat']

whereas the following list will contain contain two pointers to the very
same word record, namely "cat":

    [cat cat]

Moreover, as shown above, the strict equality test on two strings
created at different times will return false, because the strings will
be different items in the machine's memory.

In Pop-11 there is no table containing all strings, like the dictionary
containing all the words.

If a string expression occurs inside a procedure, e.g. in an
assignment like this

    'The string' -> string;

then the string will be created only once, at compile time, rather than
a new string being created each time the procedure is run. This is
unlike list expressions and vector expressions which actually plant
instructions to create a new instance.

Strings are useful for storing sets of small positive integers (i.e.
requiring no more than 8 bits per integer). They are also often used to
create text for printing. The string concatenator operator "><" is often
handy for creating a string that includes the characters that would
normally be used for printing some other object that is not a string.
For example if you concatenate the empty string with a number the result
is a string that looks like the number. However, if pop_pr_quotes is
true the concatenated string will include spurious string quote
characters, which can be suppressed by using sys_>< instead of ><, thus:

    false -> pop_pr_quotes;
    vars numstring = 12345 >< '';
    numstring =>
    ** 12345
    true -> pop_pr_quotes;
    numstring =>
    vars newstring = 12345 >< '';
    newstring =>
    ** '12345'''
    ;;; Use sys_>< to suppress the effects of pop_pr_quotes true
    vars laststring = 12345 sys_>< '';
    laststring =>
    ** '12345'
    false -> pop_pr_quotes;
    newstring =>
    ** 12345''

The empty string is often very useful, so the built in identifier
nullstring is provided with an empty string as its value.

The Poplog editor VED represents each file as a vector of strings and
dstrings (described below). Empty lines are represented by nullstring.

For more information see:


-- -- Dstrings

Since version 14.2, the Poplog editor VED can use a more complex
representation for characters in strings. These use a special datatype
known as "dstrings" (or Display Strings) which support characters with
different attributes, such as bold, italic, or underlining. Ultimately
dstrings will be able to support multiple fonts.

These are described in REF STRINGS/Dstrings

The VED procedure ved_chat, for modifying CHaracter ATtributes in a VED
file is described in REF VEDCOMMS.

-- -- Idents (identifier records)

When a word is used as a syntax word or a variable or constant
identifier, a new structure is associated with it which defines its role
in Pop-11. This structure is a special record, known as an ident (or
identifier). The record contains the following fields:

o   An idval field for holding the value of the identifier if there is one.
    The procedure valof, applied to a word, accesses this field of the
    corresponding ident. So does the any program code that accesses or
    updates the value of a variable.

o   Type information: the identtype. E.g. an ident may be restricted to
    take only procedure values.

o   A flag indicating whether the variable is "active" and if so what
    its multiplicity is.

o   The identprops, which determines the syntactic properties used by
    the Pop-11 compiler when program text is being compiled.

o   A flag indicating whether the identifier is lexical or permanent

At present the ident does not specify the word that identifies it. So
more than one word can share the same identifier, i.e. they can function
as synonyms in programs.

The syntax word "ident" is available for accessing the ident currently
associated with a word, thus:

    vars list1 = [a b c];
    ident list1 =>
    ** <ident [a b c]>

    ident define =>
    ** <ident <procedure define>>

Note that the standard printing routine merely shows the idval field of
the ident.

A word may be associated with different idents in different sections.
This is why not all the information relevant to the role of a word is
held in the word record itself.

Procedures concerned with idents include: consident, isident, idval,
identprops, nonactive_idval, sys_current_ident, word_identifier.

The last procedure is used to create words that bypass the section
mechanism so that they are guaranteed always to have the same identifier
associated with them.

-- -- Types of numbers in Pop-11

There are several sorts of numbers in Pop-11: integers, big integers,
decimals (called floats in some languages), ddecimals (sometimes called
long floats), ratios, and complex numbers. The formats for typing in
numbers are fully specified in REF IDENT, and the internal
representation of numbers of different sorts and procedures available
for operating on them are described in REF NUMBERS. What follows
provides a summary of this information.

-- -- Integers and Bigintegers

Integers are 'simple' Pop-11 objects not represented by pointers. They
occupy one machine word, typically a 32 bit word, though 2 bits are
normally used for type identification in Pop-11 and therefore only 30
bits are left for the integer value. Examples are:

    66,  -33,  99999,    -12348888, 0

Bigintegers are structures represented in the heap and can be
arbitrarily large. Some examples are:

    12345678900980980911,   2**40,   -99999999999999999999999

The only limit to the size of a biginteger is the (virtual) memory
available in the machine.

-- -- Floating point numbers: decimals and ddecimals

In Pop-11 there are two kinds of floating point numbers, decimals and
ddecimals, which differ only in their degree of precision. Normally the
results of floating point calculations in Pop-11 are decimals (single
precision floats). However, by making the value of the system variable
popdprecision true, instead of false, which is its default, the relevant
procedures are changed to return ddecimals. This increases the precision
of floating point computations, but can use a lot of temporary storage
space in the heap, causing garbage collections to occur (or extra paging
on a machine with a small amount of physical memory.)

Decimals, like integers, are 'simple' Pop-11 objects not represented by
pointers. Each occupies a single machine word, apart from the two bits
needed for type information. Thus decimals in Pop-11 are typically
restricted to 30 bit precision. Examples are the following.

    66.0,  -33.0,  77.35,  9999.532,  -6666.0,  0.0s0,   5.5s-5

The last example represents

    5.5 * (10 ** -5), i.e.  0.000055

Strictly only the last two examples will create a single precision
decimal if typed in to Pop-11, since normally floating point constants
are read in as ddecimals irrespective of the value of popdprecision. The
last two examples use 's' to force creation of a single precision float.

Examples of expressions denoting ddecimals are

    0.0,  -9999.5, 12345.678,  0.00000001,  1.5d5,   1.5d-5,   1.5e5

In the last three examples the letters "d" and "e" are used
interchangeably to indicate the exponent, in contrast with the "s" of
single precision floats. For example

    123.45d5   is the double precision number  12345000.0
    123.45d-5  is the double precision number  0.0012345

The last example may print as '0.001234' because the global variable
pop_pr_places, which controls the number of decimal places printed
defaults to 6, as shown here:

    0.123456789 =>
    ** 0.123457

As explained above, decimals and integers use single precision
arithmetic, and are represented entirely within a single word of memory,
usually using 30 bits, as the remaining two bits are required to
distinguish pointers, integers and decimals. By contrast ddecimals use
double precision arithmetic, and will be created when the value of the
global Pop-11 variable popdprecision is non false.

All ddecimals take the same amount of memory space (which depends on the
current implementation, but is typically three 32 bit words, one word
being used to point to the ddecimal key, and the other two to hold the
number.) Thus ddecimals have limited precision, though it is greater
than the precision of decimals. Bigintegers are more complex structures
that are unlimited in size and therefore unlimited in precision. The
same applies to ratios.

-- -- Ratios use indefinite precision

Ratios represent the ratio of two integers or two bigintegers, and can
be used for very high precision arithmetic. Examples of ways of
representing ratios are

    3_/4,  12345_/54321,  -33_/44

In this form a ratio expression will be read as one item, as can be
shown by enclosing them in list brackets and printing out the list:

    [3_/4  12345_/54321  -33_/44] =>
    ** [3_/4 4115_/18107 -3_/4]

Unlike this

    [3/4  12345/54321  -33/44] =>
    ** [3 / 4 12345 / 54321 -33 / 44]

The division of two integers will normally produce either an integer, or
a biginteger, or a ratio, in the case where the division is not exact.

    10/3 =>
    ** 10_/3

Programs that involve inexact division of integers will produce ratios,
and the computations will be exact, without the loss of precision
involved in the use of decimals and ddecimals. However, high precision
ratios, like bigintegers, can take up a lot of space, and if many of
them are created, they will require temporary storage space, and the
garbage collector may be invoked more often than expected. Fortunately
the Poplog garbage collector is very fast. Also the frequency of garbage
collections can be reduced by using the variables popmemlim and
popminmemlim to expand the heap space so that space runs out less often.

The format shown above can make it difficult to take in differences
between different ratios. It is possible to get Pop-11 to print out
ratios as if they were floating point numbers, which is sometimes more
convenient, though potentially misleading. This is done by making the
global variable pop_pr_ratios false.

    false -> pop_pr_ratios;
    10/3 =>
    ** 3.333333
    true -> pop_pr_ratios;
    10/3 =>
    ** 10_/3

-- -- Complex numbers

Complex numbers are represented in Pop-11 by records that hold the real
part and the imaginary part. The real and imaginary parts can be
integers, ratios, decimals or ddecimals, though both must be of the same
type. These records can be created using the two infix operators +: and
-:, where users are invited to think of the colon as an approximate
depiction of "i", the square root of -1. Thus, for example:

    0 +: 1 =>
    ** 0_+:1

    3 -: 5 =>
    ** 3_-:5

Complexes are printed out in a form in which they can be typed in as
single items, using expressions that start with the real part, followed
by an underscore "_", followed by "+:" or "-:" followed by the imaginary
part. For example the following is a list of two complex numbers
(notice how the integer values are coerced to floats where necessary)

    [ 3_+:2.0  -3_-:4 ] =>
    ** [3.0_+:2.0 -3_-:4]

There are many built in mathematical functions that are capable of
taking complex numbers as arguments and/or returning them as results.
E.g. attempting to compute the square root of -1, or the logarithm of a
negative number produces a complex result:

    sqrt(-1) =>
    ** 0.0_+:1.0

    log(-22.5) =>
    ** 3.113515_+:3.141593

Procedures that are specifically concerned with complex numbers, include
the two operators mentioned above and, conjugate, destcomplex, realpart,
imagpart, iscomplex.

For more information see REF NUMBERS

-- -- Recognizers for number types: integral, rational, decimal, complex

A number is described as "integral" if it is an integer or a biginteger.
It is described as "rational" if it is integral or a ratio. It is
described as decimal if it is a decimal or a ddecimal. There are various
recogniser procedures for detecting the different number classes:

    isinteger, isbiginteger, isintegral, isratio, isrational,
    isdecimal, issdecimal, isddecimal, isreal, iscomplex, isnumber

-- -- Reading in numbers relative to a base

Numbers may be represented externally relative to a base, though the
internal representation is not changed thereby. The base is indicated by
an integer followed by a colon, preceding the number itself. Thus,
binary numbers are represented with the prefix '2:'. So:

    2:100 is the same as 4
    2:1011 is the same as 11
    8:101 is the same as 65
    2:1.1 is the same as 1.5
    8:1.1 is the same as 1.125
    16:1FFA represents 8186 as a hexadecimal number.

Note that the prefix '10:' is redundant. 10:999 = 999

For more on notations for numbers see REF ITEMISE, or Chapter 5, below.

Additional information about the representation of numbers inside the
machine is also given in chapter 5, below.

-- -- Characters (8 bit integers)

A character in Pop-11 is represented as a positive 8 bit integer (i.e.
an integer between 0 and 255) according to the standard ascii
conventions, (except in dstrings where characters have more information
corresponding to font characteristics.) The printing characters
correspond to the integers between 33 (the exclamation mark character)
and 126 (the tilde character). Users of Pop-11 do not need to remember
the mapping from integers to characters, since character quote symbols
can be used to represent the integers corresponding to a character.
Examples are the following, where the last two examples correspond to
the backslash character and the character quote character. (The spacing
in the printed result has been stretched to show the correspondence)

       `!`, `a`, `B`, `0`, `9`, `(`, `\s`, `\t`, `\n`, `\\`, `\`` =>
    ** 33   97   66   48    57  40   32    9      10    92   96

The file HELP ASCII gives full details on character codes, including how
to represent non-printing characters, such as control characters.

NOTE: `a` is a character, whereas 'a' is a string.

Characters are not really a distinct Pop-11 datatype, as they are (at
present) simply 8 bit integers. So they have no key or dataword of their

-- -- Booleans (true and false)

In Lisp the empty list is treated as false and everything else as true.
In C and many other languages the number 0 is treated as false and
everything else as true. The original version of Pop2 followed the
latter convention, but when Pop-11 was designed it was decided that the
introduction of a boolean data type was desirable as too many obscure
bugs could follow from treating the empty list or 0 as false.

Two built in identifiers are provided to refer to the two boolean

    true, false =>
    ** <true> <false>

Many other expressions are capable of denoting boolean values, e.g. the
result of applying a recogniser procedure to an arbitrary object, or the
result of applying an equality test to two objects or an arithmetical
comparison to two numbers. Here are several examples of boolean-valued

    true,  false,   66 == 66,  66 == 99,  77 < 33, "cat" = "dog",
    isinteger(true), isboolean(99), isword("cat"), isstring('cat'),
    member(3, [a b c d])

In addition to recognisers and comparison predicates there are a few
operators designed specifically to operate on boolean values, namely:

    not, and, or,

These are used for forming complex conditions for conditional and
looping instructions. All of these treat any non-false object as if it
were true, and "and" and "or" return false or their last non-false
argument. E.g.

    not(99) =>
    ** <false>
    not(false) =>
    ** <true>
    true and false =>
    ** <false>
    true and "cat" =>
    ** cat
    false or 99 =>
    ** 99
    99 or false =>
    ** 99
    false or not(true) =>
    ** <false>

strictly "and" and "or" are not infix procedure names, but syntax words
as they prevent their second argument being evaluated if the first
argument suffices to determine a value. This can mean that the first
argument can be used as a "guard" against an error in the second, e.g.

    false and ("cat" + "dog") =>
    ** <false>

Very many procedures return booleans as results, for use in conditional
expressions and loop test expressions.

-- -- Pairs and lists

Pairs are records containing two fields, which can contain any type of
Pop-11 item. They can be created using the procedure conspair, and have
associated procedures destpair, front, back, ispair. In Pop-11 as in
several other languages, pairs are used as the basis for a 'derived'
data-type namely lists. Lists are defined recursively as follows.

o The empty list [] (defined below) is a list.

o A pair is a list if its back is a list.

Lists are described in far more detail in Chapter 6, below. Apart from
the syntax for creating lists, there is no special syntax for creating
pairs, though they can be created using the procedure conspair:

    conspair(3, 4),     conspair([], "cat"),   conspair("cat", [])

Only the last of these is a list, since its back is a list, namely the
empty list. There is special syntax for creating lists, introduced in
Chapter 1. Since these lists are made out of pairs, the syntax for
creating lists also creates pairs. For example the list

    [cat dog 99]

could be created using the expression

    conspair("cat", conspair("dog", conspair(99, [])))

Many examples of lists are given in this introduction. Lists are
strictly speaking a 'derived' data-type in Pop-11, in that they are
constructed out of pairs, and therefore do not have their own key or

Most of the time users do not need to think about pairs. The facilities
for building and manipulating lists, described later, are designed to
hide such irrelevant details! See REF LISTS and Chapter 6. An overview
of Poplog documentation relating to lists is given in HELP LISTS.

Later sections of this primer give a lot more information about lists,
including the use of the pattern matcher and the Pop-11 database

Procedures for operating on pairs include conspair, destpair, ispair,
front, back. There is a much wider variety of procedures for operating
on lists built out of pairs. See Chapter 6, below.

-- -- References (single component records, consref, cont).

A reference is a record with a single field that can contain an
arbitrary Pop-11 object. There is no special syntax for creating
references. They can be created using consref. E.g.

    consref(0), consref("cat") =>
    ** <ref 0> <ref cat>

The contents of a reference created by consref can be accessed or
updated using the field_accessor procedure cont. E.g.

    ;;; create a reference record rec, containing the number 10
    vars rec = consref(10);
    rec =>
    ** <ref 10>
    ;;; increment the number by 1
    cont(rec) + 1 -> cont(rec);
    rec =>
    ** <ref 11>

The recogniser is isref. References are often used to share variable
information between different processes. For example, a procedure P can
create a reference R which it gives to procedure Q. Q may eventually
cause the contents of R to change. Then when control returns to P it can
examine the contents of R to find out what has happened. This is
sometimes more convenient than passing values via the stack (e.g. in
programs using parallel co-routines) and safer than using global

The procedure datalength applied to any pair will always return the same

    datalength( conspair(3, 4) ) =>
    ** 2
    datalength( [a b c d e] ) =>
    ** 2

In the second case it does not chain down the elements of the list. The
procedures length and listlength do that.

    datalength( conspair(3, 4) ) =>
    length( [a b c d e] ) =>
    ** 5

However, length applied to a pair attempts to treat it as list, and
this will cause an error:

    length( conspair(3, 4) ) =>
    ;;; INVOLVING:  [3|4]
    ;;; DOING    :  null listlength length ...

-- -- Types of vectors: strings, full vectors, intvecs, shortvecs

There are several types of vectors in Pop-11. Each vector class has a
family of associated procedures, including the following:

o   initiator procedure, e.g. initv, inits, which takes an integer N and
    creates a vector with N fields, containing a default value, usually
    either undef for full vectors or 0, or 0.0 for others.

o   constructor procedure, e.g. consvector, consstring, which takes N
    items and an integer N and creates a vector containing the N items

o   subscriptor procedure, e.g. subscrv, subscrs, which takes an integer
    N and a vector, with at least N fields, and returns or updates the
    contents of the N'th field

o   recogniser, e.g. isvector, isstring

o   destructor procedure, e.g. destvector, deststring, which takes a
    vector and returns all its items on the stack, plus an integer N
    specifying the number of items. (Thus the results of destvector can
    be given to consvector to create a copy of the original.)

In addition various generic procedures mentioned previously can be used
on all classes of vectors including datalength, appdata, mapdata,
datalist, copy, copydata, and the concatenator <>.

The equality tester "=" is defined for all vector classes as follows:
V1 = V2 is true if and only if V1 are of the same vector class (have the
same datakey) and have the same length, and if corresponding components
or V1 and V2 are themselves = to one another.

Users can define their own vector classes, though several standard
vector classes are built in to Pop-11, including strings described
above. Strings are byte vectors containing packed 8 bit integers, and
have associated procedures inits, consstring, subscrs, isstring, etc.

-- . Standard full vectors

One of the standard data types is the class of standard full vectors.
Instances of this class can contain any number of items, including no
items. The contents of the fields in a vector can be arbitrary Pop-11
items: i.e. they are 'full' fields.

There is special syntax for creating vectors. Examples are:

    {},  {a b c},    {cat mouse 3 4},    {'a string' in a vector}
    {[a vector] {containing some} [lists {and} vectors]}

Vectors are very like lists, but stored more compactly in the computer.
There are several different types of vectors, besides standard full
vectors. E.g. strings are "byte" vectors.

Procedures for operating on standard vectors include initv, consvector,
destvector, subscrv, isvector, and the concatenator, <>, and others
described in REF VECTORS.

The procedure datalength can be used to check the length of a vector.

    datalength({}) =>
    ** 0
    datalength({{a b} {c d} {e f}}) =>
    ** 3

-- . Packed integer vectors: intvecs and shortvecs

An intvec is a signed packed-integer vectors (usually with 32 bit
fields). So the fields of these vectors have two more bits than standard
Pop-11 integers which can use only 30 bits. Intvecs have no special
syntax, but can be constructed using consintvec, or initintvec. Examples

    initintvec(5) =>
    ** <intvec 0 0 0 0 0>
    consintvec(1, 2, 3, 4, 5, 6, 6) =>
    ** <intvec 1 2 3 4 5 6>

The associated procedures are: consintvec, destintvec, initintvec,
isintvec, subscrintvec

A shortvec is a signed short packed-integer vectors (usually with 16 bit
fields). They have no special syntax. Associated procedures are
consshortvec, destshortvec, initshortvec, isshortvec, subscrshortvec

For more details see the online files: REF INTVEC, REF SHORTVEC

-- -- Procedures, closures, arrays, properties

A great deal has already been said about procedures, and more
information will be given below. In particular, we have previously
illustrated the special syntax for creating named and anonymous
procedures using the formats:

    define      ....    enddefine;
    procedure   ....    endprocedure

Procedures are sets of instructions, which tell the computer to do
something. Some are built in to the Pop-11 system. Others are added by
the user. Unlike some languages, Pop-11 treats procedures as objects,
just like numbers or words. E.g. procedures can be created by running
procedures, can be stored in lists, or assigned to variables. There are
several procedures associated with procedures

o   isprocedure: recognises procedures

o   pdprops: accesses or updates the pdprops field of a procedure, which
    normally contains the name and possibly other information.

o   updater: accesses or updates the updater of a procedure.

For example the following two expressions for updating the hd of a list
are equivalent: the first is 'syntactic sugar' for the second.

    "cat" -> hd(list);
    updater(hd)("cat", list);

The second applies the updater of hd to "cat" and list. The first does
the same, though it is easier to read.

There are three more special kinds of procedures. They are all
functionally equivalent to procedures in that they all have
procedure_key as their datakey, they all use procedure-calling syntax
for accessing or updating their contents they can all be partially
applied to form closures (defined below), and various other procedure
specific procedures can be applied to them, including pdprops and

-- . closures

A closure is a combination of a procedure and some data for it to
operate on. A closure may either be created using "partial application"
(see HELP PARTAPPLY, HELP CLOSURES), or may be a "lexical closure"
created by a procedure containing local lvars variables. See Chapter 4

There is special syntax for creating closures using partial application.
E.g. gensym is a procedure that can be applied to a word, to produce new
words with appended numerals, e.g.

    gensym("cat") =>
    ** cat1
    gensym("cat") =>
    ** cat2

If we wished to partially apply the procedure gensym to the word "cat"
to create a new procedure of no arguments that could be run to get the
effect of applying gensym to "cat" we could do so as follows:

    vars cat_gen = gensym(%"cat"%);
    cat_gen() =>
    ** cat3
    cat_gen() =>
    ** cat4

The datakey of a closure is the same as the datakey of any other
procedure, i.e. procedure_key:

    datakey(cat_gen) =>
    ** <key procedure>

-- . arrays

Arrays are N dimensional structures whose components are accessed by N
integers, where N can be 0 or more. E.g. a two dimensional array might
represent a picture, and its components could be accessed by giving two
numbers representing distance along and distance up, e.g. picture(3,5).
For every class of vectors there are corresponding types of arrays. Note
that Pop-11 unlike many other languages, treats arrays as procedures,
for maximum flexibility. For details see REF ARRAYS.

The main procedures for creating arrays are newarray and newanyarray,
and additional procedures are, as follows:

array_subscrp, arrayvector, arrayvector_bounds, boundslist,
isarray, isarray_by_row.

The global variable poparray_by_row has a boolean value which determines
the order in which an array stores its values in the underlying vector.

Arrays are treated like procedures in that they are applied to the
numbers representing their subscripts. Every array has an associated
updater procedure for updating the contents of the array.

An example of the creation of an array from a vector class follows.

-- . Using newanyarray to create an array from an intvec

Vectors of various types can be used to create arrays of various types
using newanyarray. For example to create a 2-D array of intvecs with
subscript values going from -5 to 5 and -10 to 10 do

        intarray = newanyarray([-5 5 -10 10], initintvec, subscrintvec);

This array has 0 as default value at each location. The value at any
location can be accessed by applying the array to two integers that are
within the range of the bounds given. The array can also be updated,
as follows, using two integers as indexes into the array.

    intarray(1, 1) =>
    ** 0
    99 -> intarray(1, 1);
    intarray(1, 1) =>
    ** 99

Attempting to update the array with the wrong type of item will produce
an error"

    [99] -> intarray(1, 1);
    ;;; MISHAP - INTEGER -2147483648 TO 2147483647 NEEDED
    ;;; INVOLVING:  [99]
    ;;; DOING    :  subscrintvec ....

Arrays also have the procedure_key as their datakey.

    datakey(intarray) == procedure_key =>
    ** <true>

The procedure newarray is used to create arrays from ordinary full
vectors. Both newarray and newanyarray allow several optional forms in
which they can be used. See HELP ARRAYS for an introduction.

-- . properties

The last kind of procedure is a property. A property is a table of
associations between objects, based on 'hash coding' to speed up access.
A property can function as a sort of memory of what is associated with
what. There are several different kinds of properties in Pop-11, and
different procedures for creating them, described in REF PROPS

Properties, like closures, arrays, and ordinary procedures are applied
to their arguments in order to access or update the associated value.
Every property has an associated updater for changing the contents of
the property.

The simplest kind of property is created using newproperty, and examples
are given in the next chapter, and in HELP NEWPROPERTY.

More sophisticated types of properties can be created using the rather
complex procedure newanyproperty, described in HELP NEWANYPROPERTY. A
special subset of its functionality is provided by the procedure
newmapping, whose use is illustrated in the next chapter. See also

Procedures associated with properties include appproperty,
clearproperty, clearproperty, property_default, property_size,
datalength, appdata, copy and explode, as described in REF PROPS

-- . 'Destroy properties'
A special kind of property which (as far as I know) is unique to Pop-11,
is called a 'destroy property'. A destroy property (described in REF PROPS)
allows us to associate with an object a procedure to be run when the
object becomes garbage. This is particularly useful when the object has
associated with it some object outside the current Poplog process that
needs to be removed if the object is garbage. A typical example might be
a window on the screen corresponding to the object: the destroy action
might be used to ensure that such windows are removed when they are no
longer needed.

For more details on properties see REF PROPS

-- -- Declaring a variable to be of type procedure

When you know that the value of a variable is going to be a procedure
and will not ever be anything else you can declare it as being of type
procedure. Thus the declaration of cat_gen above could be replaced by
this form:

    vars procedure cat_gen = gensym(%"cat"%);

Declaring a variable as of type procedure can cause more efficient code
containing it to be compiled, and will also cause extra error checking
when anything is assigned to the variable. Several identifiers can be
declared to be of type procedure if they are enclosed in parentheses
following the word "procedure", e.g.

    vars procedure (p1, p2, p3);

-- -- Lightweight processes

A process is a structure containing a combination of procedure and data
and a record of how far the procedure has got in its execution. The
original procedure may have invoked another procedure, which in turn may
have invoked other procedures, and so on. Thus a process needs to
include a partial procedure calling stack. It also needs to record the
values of any local variables of those procedures.

Each process can be suspended and resumed as required. These are
sometimes referred to as "lightweight" processes, because switching
between these processes is far less time consuming than switching
between operating system processes on a time-shared computer. Processes
can be used for running simulations of various kinds, e.g. simulating an
operating system.

Procedures for operating on processes include consproc, consproc_to,
runproc, resume, suspend, kresume, ksuspend, saveproc, isprocess,

These are described in HELP PROCESS, and in more detail in REF PROCESS

The timing facilities in Pop-11, such as sys_timer, make it possible for
processes to be suspended and resumed at regular intervals. Thus a
time-shared multiprocessing system can be implemented using Poplog

-- -- undefs

Undefs are a special type of record used to initialise newly declared
global or dynamic local variables that have not been given an initial

Normally when a new variable is created, it is given a default value,
which is a special object which may print out something like:

        <undef xx>

Meeting one of these in an error message is usually an indication that
you have forgotten to "initialise" a variable with an appropriate value.
Note that there is a standard Pop-11 variable called "undef" whose value
is the word "undef", and which is NOT an example of an undef data-type,
but is a word. (For historical reasons, the word "undef" itself is still
used in some contexts).

An example follows:

    vars xxxx;  ;;; declare a new variable.
    xxxx =>
    ** <undef xxxx>
    hd(xxxx) =>
    ;;; INVOLVING:  <undef xxxx>
    ;;; DOING    :  hd compile .....

For more information see REF IDENT and HELP UNDEF

-- -- Keys

A key is a record containing information about a class of objects in
Poplog. Each data type has associated with it a key which is a structure
containing information about all objects of that type, such as their
dataword, how they are to be printed, how many elements they are made
of, how they are recognised, whether it is a vector class, a record
class or some other kind, and if it is a record or vector class, what is
accessing procedures are, etc.

Procedures associated with keys, and described in REF KEYS, include
conskey, datakey, isvectorclass, isrecordclass, class_=, class_access,
class_apply, class_attribute, class_cons, class_datasize,
class_dataword, class_dest, class_fast_subscr, class_field_spec,
class_hash, class_init, class_print, class_recognise, class_subscr

-- -- Unique objects: nil, termin, stackmark

-- . The empty list []

This unique object is used to indicate the end of a chain of pairs
making up a list. In Pop-11 it is NOT used to denote FALSE as it
does in many lisp systems that lack a proper boolean data type. The
special identifier [] can be used to represent the empty list. For
compatibility with other languages the word "nil" is also defined as a
Pop-11 identifier that represents the same object.

    nil =>
    ** []
    nil == [] =>
    ** <true>

-- . The stream terminator, termin

Termin is a unique object used to indicate the end of a sequence of
items, e.g. the end of a sequence of characters read from a file, or the
end of a sequence of items making a stream, or a dynamic list. There is
no special syntax for it, though termin is often produced by typing the
end-of-file character to a program reading from the terminal. It is also
the last item produced by a character repeater obtained from a file.
There is no special syntax to represent termin, though a constant
identifier termin is provided, which has termin as its value.

    termin =>
    ** <termin>
    datakey(termin) =>
    ** <key termin>

When a dynamic list is produced by a generator procedure, the end of the
list is indicated by the procedure producing termin as a result. Dynamic
lists are discussed in Chapter 6.


-- . The stack mark, popstackmark
The unique item, which prints as <popstackmark> is used in connection
with Pop-11's "open" stack when building lists or vectors. Users will
normally only come across it when they make errors involving
attempting to take too many items off the stack (stack underflow

Roughly, whenever an list building expression [ ... ] or a vector
building expression of the form { ... } the object popstackmark is
placed on the stack when the construction starts, and the final object
is created by removing all items on the stack down to the last
occurrence of popstackmark and putting them in a list, or a vector.


-- -- Devices

These are records associated with files, terminals and other means of
communication between the Pop-11 system and the rest of the world. There
are also pseudo-devices created using consdevice.


-- -- External pointers

These are pointers to external data or external procedures (functions),
created using another language, e.g. Fortran, C or Pascal and linked
into the Pop-11 system.  See REF * EXTERNAL_DATA

-- -- Sections

Sections are structures that hold information mapping words in the
dictionary to the idents that provide information about how the words
are currently being used. Because the mapping from word to ident can be
different in different sections, sections enable different programmers
to use the same words for different purposes without risk of clashing
even when their programs are later combined.

Identifiers in one section can access those in another by using full
section "pathnames", which are similar to Unix file path names except
that "$-" is used instead if "/". Thus the identifier "bite" in
subsection "dog" in in sub-section "mammal" in sub-section "alive" of
the top level section could be referred to as


Code written in the section $-alive$-mammal$-dog would merely need to
use "bite".

As implied by this example, sections can contain subsections. For full
details see REF SECTIONS. An introduction can be found in HELP SECTIONS.

The active variable current_section holds as its value the current

Identifiers associated with sections include:

pop_default_section,     pop_section,       section_cancel
section_export,          section_import,    section_key
section_name,            section_pathname,  section_subsect

-- -- Prolog variables and terms: prologvars, prologterms

A prologvar is a one-element record used as a variable for the Prolog
subsystem of Poplog. Various utility procedures are available for
manipulating them.

A prologterm is an instance of a special class of vectors used to
implement terms in Prolog.

Procedures relevant to the prolog sub-mechanisms in Poplog include:

consprologterm, destprologterm, initprologterm, isprologterm,
isprologvar, prolog_arg, prolog_args,

See REF PROLOG for more details.

-- -- Data types required for the Poplog X window interface

XptDescriptors are used for managing some of the rather complex
interactions between Poplog and the X window system, which is mostly
written in C. Additional Pop-11 datatypes are created in the X libraries

See especially $usepop/pop/x/pop/ref/*types*

Further details are provided in: REF XptDescriptor

The REF files mentioned above give far more information than beginners
can possibly cope with, but experts designing sophisticated software
will probably find them indispensable.

Additional built-in data types may be provided in later versions of
Poplog, and will be listed in REF DATA

Most beginners will not need to know about most of the data-types
mentioned above. For very many programs it suffices to know only about
procedures, words, numbers and lists. Booleans are used in conditional
instructions or in tests for termination of loops. Strings are useful
for formatted printing, and they are also used as names of files. Arrays
are useful for representing two dimensional image data. This Primer will
be mainly concerned only with the most commonly used data types.

-- Objectclass - An object oriented extension to Pop-11 ---------------

There is a system called Objectclass, which extends the Pop-11 data-type
system with object oriented facilities similar to but more general than
those in languages like C++. Objectclass has more in common with the
Common Lisp Object System, CLOS.

See HELP OBJECTCLASS if you are interested. It is available as part of
Poplog Pop-11 from Version 14.5, as is the GO (Graphical Object) library,
which is based on objectclass.

The objectclass library creates some additional Pop-11 record and vector
classes (using the Pop-11 defclass construct, defined in REF DEFSTRUCT)
and then defines objectclass classes and instances and other kinds of
entities in terms of those new classes. It also extends the syntax of
Pop-11 to make the new facilities convenient to use.

Another, older, object-oriented extension to Pop-11 is provided in the

More information about Objectclass is provided in a later chapter.

-- -- Further online information --------------------------------------

As mentioned previously, each datatype has an associated family of
procedures for creating and manipulating instances of the datatype.
These are described in the REF files mentioned above. However there are
also more "introductory" files in the Poplog HELP directory, and these
can be found by browsing HELP INDEX, and HELP HELPFILES.

In particular the following may be useful


-- Additional information needed to define Pop-11 ---------------------

Besides the information about data-types in the Pop-11 virtual machine,
and procedures provided in the Pop-11 virtual machine for operating on
those data-types, a full description of Pop-11 would specify how users
can define their own data-types, and define their own procedures for
operating on them. A brief introduction to some aspects of this can be
found in REF DEFSTRUCT. This is probably unsuitable for novices and
the files HELP RECORDCLASS, HELP VECTORCLASS are easier to understand.
Examples are given later, in Chapter 8.

Further information required to complete the specification of the
language is given in later chapters (and in Poplog's REF files).

In particular, it is necessary to specify how the system is started up,
how your program's state can be saved so that you can continue on
another occasion without having to repeat what you have already done,
how Pop-11 can be made to interact

    - with the terminal (including how to print out various kinds of

    - with disc files,

    - with the screen and with other devices,

how programs can be timed or traced or delayed, how interaction with the
operating system is provided, how Pop-11 can discover what sort of
machine or what operating system the program is running on, and how it
can interact with programs written in other languages.

Further information would specify how "error" states can occur, at
compile time or run time, how they are detected, how they are reported,
how user programs can vary the standard behaviour.

In addition to all this detailed information about the specifics of
Pop-11 it is possible to spend several years learning how to make use of
these tools in order to design a wide range of programs, achieving such
software engineering goals as maintainability, extensibility,
efficiency, reliability.

Fortunately, although many of the details are specific to Pop-11, most
of the concepts and techniques are not, and will be applicable when
using other programming languages. Indeed having seen how to do
something in a very sophisticated and flexible language like Pop-11 a
programmer may have a better idea how to implement a similar technique
in another language that does not provide it directly.

The next chapter returns to some details of the Pop-11 virtual machine.
Besides the datastructures that are constructed in the computer's memory
when Pop-11 user programs run, there are several datastructures created
and used by Pop-11 itself, and areas of the memory that are used to
provide "workspace" for Pop-11. An example of a datastructure used by
Pop-11 is a dynamic list known as "proglist", which is used by the
Pop-11 compiler to represent the stream of characters in the program or
command sequence currently being read in and compiled.

Anyone wishing to extend the syntax of Pop-11 needs to know how to
manipulate the symbols on proglist. Some aspects of how proglist works
are described later. Full details are given in REF PROGLIST and

When the Pop-11 compiler, or any other language compiler in Poplog reads
in programs it has to tell the Poplog virtual machine how to create new
procedures and structures corresponding to the programs read in.
Specifying how to do this includes specifying the set of basic Poplog
virtual machine instructions available, and the procedures for compiling
instructions to machine code. This is a very complicated topic,
introduced (with some simplifications) in TEACH VM and described fully

A particularly important workspace in the Poplog virtual machine is a
portion of the computer memory which is referred to as 'the stack'. This
is used as a general 'communication area' by Pop-11. We shall often
refer to it as if it were an object, though strictly speaking it is not.
It cannot be manipulated liked an object. For example, objects can be
put on the stack, but the stack cannot be put on the stack or stored in
other objects. The next chapter elaborates on this.

Other workspaces, which will not be described in this primer are the
procedure calling stack, and the workspace used for implementing Prolog
facilities, described in REF PROLOG.

-- The garbage collector ---------------------------------------------

One feature that Pop-11 shares with many AI language systems, though it
is lacking in Fortran, Pascal, C, Cobol and other widely used languages
is the "garbage collector", or store manager. This is a very important
feature of Pop-11 which enormously simplifies the use of programs that
create large numbers of temporary structures then discard them. It is
also very complicated because of the need to cope with externally loaded
programs using languages like C that do not have garbage collections.

Some aspects of the store management are described in REF SYSTEM.
Understanding how to avoid unnecessary garbage collection is one aspect
of designing efficient programs. There are many hints on this and
similar topics in the file HELP EFFICIENCY.

-- Exercises ----------------------------------------------------------

1. Explain the difference between syntax and semantics of a
programming language. How do internal semantics and external semantics

2. What is the difference between a compile time error and a run
time error?

3. What is a virtual machine?

4. What is the connection between a programming language and a virtual

5. What needs to be described in order to specify a programming
language fully?

6. What are the datatypes built in to Pop-11?

7. What is the difference between a word and a string, in Pop-11?
(You will not be able to answer this fully at this stage.)

8. What is the difference between a word and an ident in Pop-11?

9. There are certain conventions restricting the combinations of
characters that normally can be used to create words using the word
quotes "..." in Pop-11. How can those conventions be overcome to produce
words containing arbitrary characters?

10. What is the difference (at first sight) between an expression and
an imperative? Why does the distinction break down in Pop-11?

11. Pop-11 contains a garbage collector as described above. Can you
think of reasons why it is sometimes necessary to write programs that
create large numbers of temporary structures which are then discarded?
Think of reasons why some intelligent processes require searching for
solutions to problems or searching for coherent interpretations of

12. List some of the generic procedures, which are applicable to
several data-types?

13. Besides ordinary procedures Pop-11 contains three other types of
structure that are treated as procedures.

14. There is one type of object that has only two instances. What is it?

15. List the Pop-11 classes that have only one instance each.


A very important aspect of the Pop-11 "virtual machine" is the stack.
This is a part of the computer's memory used as a communication area in
connection with procedures which take "arguments" (inputs) and return
results, and also in connection with assignment.

(Note for experts: this is not the same as the procedure calling stack,
which is a different area reserved for keeping track of which procedures
are currently active.)

Consider a statement in which the value of an arithmetic expression
is printed, for example:

    2 + 2 =>
    ** 4

This statement is processed in two stages; firstly the arithmetic
expression is evaluated and then secondly the result is printed. The
result of evaluating the arithmetic expression is left on the stack,
from where the print routine removes it.

As with a stack of plates, the last thing put on the stack is the first
one you get off. Because the stack can accommodate more than one result,
it is possible to write several expressions separated by commas, or
semi-colons, each of which causes something to be put on the stack. For

    2 + 3,  10 * 2,  5 - 3 =>

If this instructions is obeyed then three numbers are put on the stack
with 5 at the bottom, then 20 and finally 2 on the top. The print arrow
prints the ENTIRE stack, starting from the bottom, and empties it, thus:

    ** 5 20 2

Note that the top element of the stack is printed last.

The stack is in some ways like a datastructure, e.g. a variable-sized
list or a vector, to which other Pop-11 objects can be added or removed
at one end only, like a stack of dishes on to which new dishes can be
added, one at a time, and from which the top item can be removed.

The stack is implemented differently from a Pop-11 datastructure, for
efficiency. And it is not itself an object that can be put in a list,
assigned to a variable, or given as input to a procedure. In fact there
is no explicit way of referring to the stack. Rather it is implicitly
referred to in very many Pop-11 instructions. It is not, what is
sometimes referred to as a "first-class object".

A language that uses a stack in a similar way to Pop-11 is Forth. Some
pocket calculators also use a stack in the same sort of way.

-- Procedures communicate via the stack -----------------------

Pop-11 procedures take their parameters, if any from the top of the
stack, and leave their results, if any, on the stack. Thus the
procedure SIN removes the top item from the stack, computes its
sine, and place this number on the stack. When we write:

    sin(45) =>
    ** 0.707107

Then three things happen:

    (1) 45 is put on the stack
    (2) SIN is called (invoked, applied, run...). SIN removes the
        top item (in this case, 45), computes its sine (in this case
        0.7071), and puts this on the stack
    (3) The print arrow, '=>' prints and empties the stack.

Had we wished to be obscure, we could have written, with exactly the
same effect:


If there is nothing on the stack for a procedure like SIN then it
complains and we get a MISHAP message.

Whatever is currently on the top of the stack is used by the procedure
SIN. If this expression were executed with the stack empty, a MISHAP
message would be printed indicating that the stack had underflowed,

    sin() =>
    ;;; MISHAP - STE: STACK EMPTY (missing argument? missing result?)
    ;;; DOING    :  sin compile compile

Provided the number of parameters (arguments) put on the stack when a
procedure is called is the same number as taken by the procedure, any
numbers previously on the stack are unaffected by the transaction.

Note the difference between writing


which loads the sin procedure itself onto the stack and


which actually causes the sin procedure to be executed. It may be useful
to think of "()" as the "doit" brackets. If there's anything between
the brackets, that says "doit to...", e.g. sin(45).

-- The DOT-notation for procedure calls ---------------------------

Readers familiar with the language FORTH, you may be interested that
Pop-11 admits an alternative notation for procedure calls, sometimes
described as "postfix" or "reverse polish" notation. This involves
placing arguments, separated by commas, before procedure names and
preceding procedure names with a dot "." to indicate that the procedure
is to be applied.

E.g. instead of:

    perim(3,5) =>

you can use

    3, 5 .perim =>

I.e. the "." can be used to invoke a procedure. Thus Pop-11 allows,
instead of 'sin(45)', '45.sin', which can be interpreted as put 45
on the stack and then run SIN. Similarly


can be expressed as


    sin(sqrt(100)) =>
    ** 0.173648

    100.sqrt.sin =>
    ** 0.173648

The dot notation corresponds more closely to the actual order of
processing, though the former is the more conventional way of
representing procedure calls. We shall not use this POSTFIX notation
in this introduction, though it is popular with some Pop-11 users.

Note that if infix operators are used in postfix notation, dots are
not required, e.g.

    2 * 3 + 4 * 5 =>

is equivalent to

    2, 3 *, 4, 5 * + =>

The two can be mixed:

    sqrt(3) + 5

is the same as

    3.sqrt, 5 +

Although some Pop-11 users like the postfix notation, it can make
programs obscure if used excessively. A common convention is to use it
only for accessing components of datastructures, as in the following
expression denoting the second element of list:

-- Assignment as a two stage operation ----------------------------

The statement:

    2 + 2 -> x;

takes place in two main stages, viz:

    '2 + 2;'


    '-> x;'

First the arithmetical expression is evaluated and the result, 4, is
left on the stack. Then the top element of the stack is removed and put
into the variable x.

We can write a series of statements which put things on the stack
followed by a series which remove than and put them in variables,
for example:

    2; 3; -> x; -> y;

These four statements do the following:

    (1) Put 2 on the stack
    (2) Put 3 on the stack
    (3) Remove the top element (i.e. 3) and put it in the variable x
    (4) Remove the top element (i.e. 2) and put it in the variable y

So, the following will swap the values of x and y.

    x; y; -> x; -> y;

Expressions may be separated by commas, and assignments need no
separators, so this can be abbreviated to:

    x, y -> x -> y;

Notice that '-> x' removes the top item from the stack, and assigns
it to x, whereas the reverse operation:


Just COPIES the value of x onto the stack, leaving x unchanged. We
can demonstrate this difference as follows.

    vars x;
    77, 88, 99;     ;;; put three things on the stack
    -> x;           ;;; take one off
    ** 77 88        ;;; two things left

    x; x; x; =>     ;;; copy value of x three times onto stack
    ** 99 99 99

-- The stack and arithmetic expressions -------------------------------

The stack is used while evaluating arithmetic expressions so that a
statement such as:

    2 + 3 -> x;

actually takes place in four steps, thus:

    (1) Put 2 on the stack
    (2) Put 3 on the stack
    (3) Do the addition, that is remove the top two items on the stack
        (i.e. 2 and 3) and replace them by their sum (i.e. 5)
    (4) Remove the top item from the stack (i.e. 5) and put it in
        the variable X.

A more complicated example, such as:

    2 + 3 * 4 - 5 =>

takes place in EIGHT steps, which are left as an exercise for the
reader to describe, some of which are:

    (4) Do a multiplication
    (5) Do an addition
    (7) Do a subtraction
    (8) Print the contents of the stack

-- Implicit uses of the stack -----------------------------------------

The Pop-11 stack is implicitly referred to in the following contexts:

1. Any Pop-11 expression which denotes some object, is implicitly
   an instruction to create or find the object and put it on the
   stack. (For most types of object this really amounts to putting a
   "pointer" to the object on the stack. The object itself remains
   somewhere in memory. For integers and single precision decimals,
   a copy of the internal representation is put on the stack.)

        "3 + 5"                     puts  8 on the stack
        "hd(tl([the black cat]))"   puts "black" on the stack
         x,y,z;                     puts the values of x, y and z
                                    on the stack, in that order.

2. When a procedure is invoked with some arguments, the arguments
   are put on the stack and then the procedure is run. E.g.
        3 + 4
          Puts 3 on the stack, then 4, then runs +

          Puts the value of list on the stack then runs hd

3. If a procedure invoked with arguments has some input variables,
   then when the procedure is run, the appropriate number of items
   is taken off the stack and assigned to the variables within the
   procedure. For example, consider the procedure perim defined in
   Chapter 1, with the heading

        define perim(len, breadth) -> total;

   The command to run perim, will cause the item on top of the stack
   to be removed and assigned to to the input local variable
   breadth, then the next item will be removed from the stack and
   assigned to len, and then the instructions in the procedure
   definition will be obeyed, using these variables.

4. If a procedure is defined to produce any results, then invoking
   the procedure will implicitly cause the results to be put on
   the stack when the procedure is finished. For example, if the
   numbers 3 and 4 are on the stack, and the addition procedure +
   runs, then the procedure, when it has finished, will replace the
   top two items on the stack with the single result, the number 7.
   So the instruction
        3 + 4 =>
   is equivalent to these four instructions

   Another example is what happens when the perim procedure
   finishes. Because it has an "output" local variable in the header
   line, i.e. "total", then Pop-11 will ensure that just before the
   procedure finishes the value of the variable will be put on the

Exercise: Explain why case 4 is just a special example of case 1.

 5. When an assignment instruction is run, e.g.

             x -> y

    the left hand side, in accordance with point 1 above, causes
    the value of the expression to be put on the top of the stack
    (i.e. the value of the variable x is put on the stack), and then
    the rest of the instruction ( "-> y") causes the item on the top
    of the stack to be removed and stored as the value of the
    variable y. (I.e. the value is stored in the area of memory
    associated with the variable.)

    NOTE: there is a potential point of confusion. When the left hand
    side of such an expression puts the value of x on the stack it
    does not remove the value from x. Thus x still has the same value
    as before and it can be re-used. For example the instructions:

         x; x; x;

    cause the value of x to be put on the stack three times.

    By contrast, when the top of the stack is assigned to a variable
    it is removed from the top of the stack. Thus if there is only
    one thing on the stack you can obey the instruction to move it
    to y, thus
         99;         ;;; Put 99 on the stack
         -> y;       ;;; move top of stack to y

    But attempting to do the same again

         -> y;       ;;; move top of stack to y

    will cause an error message to be printed out if there was
    originally only one thing on the stack.
    ;;; MISHAP - ste: STACK EMPTY (missing argument? missing result?)

Note: although you can assign the top of the stack to a variable, you
cannot assign it to a constant object, such as the number 37, or a
string, or a word. If you try any of these:

    3 + 4 -> 7;
    "cat" -> 'dog';
    33 -> [a b c];

then you will get the following error message:

;;; MISHAP - iue: IMPERMISSIBLE UPDATE EXPRESSION (e.g. after -> or ->>)
        33 -> 44;

-- Example: implicit uses of the stack when running "perim" -----------

The previous section listed five ways in which Pop-11 programs
implicitly use the stack. We can now combine points 1, 2, 3, 4, and 5,
and look closely at the implicit stack instructions when Pop-11 runs the
procedure perim, defined in Chapter 1.

First a reminder of its definition in chapter 1:

    define perim(len, breadth) -> result;
        (len + breadth) * 2 -> result

Assuming the definition has already been compiled, we can step through
what happens when it is obeyed in the following instruction (declare the
variable num, compute the perimeter of a 3 by 4 room and assign the
result to num):

    vars num;
    perim(3, 4) -> num;

This implicitly "expands" into the following Pop-11 virtual machine

STEP    What happens                   VM instruction

(a)    put 3 on the stack              (i.e. PUSH 3),
(b)    put 4 on the stack              (i.e. PUSH 4),
(c)    run perim                       (i.e. CALL perim),
        this will do various things and leave a result on the stack
(d)    move the top of stack to num    (i.e. POP num)

We can look more closely at step (c), i.e. what happens when the
procedure runs. Look at the definition, from chapter 1:

    define perim(len, breadth) -> result;
        (len + breadth) * 2 -> result

When this runs, with 3 and 4 on the stack, as in step (c) above it does
the following:

STEP     What happens                             VM instruction

(ca)     move top of stack (i.e. 4) to breadth    (POP breadth)
(cb)     move top of stack (i.e. 3) to len        (POP len)
(cc)     copy value of len (i.e. 3) to stack      (PUSH len)
(cd)     copy value of breadth (i.e. 4) to stack  (PUSH breadth)
(ce)     run +                                    (CALL +)
            (which takes 3 and 4 off the stack and puts back 7)
(cf)     put 2 on the stack                       (PUSH 2)
(cg)     Run the multiplication procedure         (CALL *)
            (this takes 7 and 2 off and puts back 14)
(ch)     Move top of stack (14) to result         (POP result)
(ci)     Finally, because result is an output
        local, its value is put on the stack     (PUSH result)

It is not absolutely essential to understand such details of implicit
stack manipulation on order to develop Pop-11 programs, but it will make
many things clearer and will help with more advanced programming. For
practice try the following exercises:

-- Exercises on the stack ---------------------------------------------

1. Relate each of the above steps (a) to (d) and (ca) to (ci) above to
the five types of implicit uses of the stack.

2. Step through the examples with different input numbers, e.g. 4 and 5
instead of 3 and 5, keeping track of which intermediate numbers are

3. Do the same with the procedure volume, defined in Chapter 1. (It is
easier than perim.)

4. If you have found the explanations so far confusing, you may find it
helpful to work through the online Poplog file TEACH STACK, which
explains these points in more detail, with more examples.
TEACH DEFINE may also help.

-- More examples of uses of the stack ---------------------------------

Put four things on the stack, two integers and two words.

    3, "cat", 99, "blue";

The assignment arrow can be used to remove the top of the stack and
store it as the value of x.

    -> x;

Now print out what is left on the stack.

    ** 3 cat 99

I.e. only three things left. What was the fourth is now the value of x:

    x =>
    ** blue

(The non-destructive assignment arrow "->>" described later, assigns the
top of the stack without removing it.)

" does not always represent an assignment">-- "->" does not always represent an assignment -----------------------

We have seen that "->" can also be used in the heading of a procedure
definition, to define "output locals". In this context "->" does not
cause anything to be assigned. This is explained more fully in the
section on defining procedures.

"">-- The print arrow "=>" -----------------------------------------------

The print arrow is very commonly used to show what is on the stack. It
has two different uses, one inside procedures and one at "top level"
i.e. when you are giving individual commands to Pop-11.

    1. In a procedure "=>" prints only one item, the one on top of the
       stack, and removes it from the stack.

    2. At "top level" "=>" prints out everything on the stack, bottom
       item first, top item last, and clears the stack.

The reason for the restriction in (1) is that when procedures are
running there may be several items on the stack waiting to be dealt
with by other procedures than the one that calls =>. So those items
should not be removed. (This restriction can be overcome by using the
popval procedure to simulate top level instructions, in the format:
    popval( [=>] );

But that's recommended only for experienced programmers.)

-- The pretty print arrow ==> -----------------------------------------

The "pretty print arrow" is similar to "=>" but will print complex
lists and vectors out in a more readable form. E.g. using the variable
rooms defined in Chapter 1, compare:

    rooms =>
    ** [[room1 10 12 8] [room2 6 11 8] [room3 15 11 8] [room4 10 12 9]
     [room5 21 11 9]]

    rooms ==>
    ** [[room1 10 12 8]
        [room2 6 11 8]
        [room3 15 11 8]
        [room4 10 12 9]
        [room5 21 11 9]]

Another difference is that ==> never prints out more than ONE item from
the stack.

-- Using assignment to store something in a structure -----------------

So far the assignment arrow has been used only with a variable on the
right hand side.

Besides storing things in variables, assignment can be used to store
something in a structure. E.g. we may create a list, then use
assignment to alter its third element:

    vars list = [a b c d e];
    list =>
    ** [a b c d e]

    "D" -> list(4);         ;;; alter the 4th element
    list =>
    ** [a b c D e]

Here the assignment has "updated" the previously existing list, unlike
the expression

    [a b c D e] =>

which creates a new list. This is an example of what is sometimes called
programming with "side effects". I.e. when an instruction is obeyed, it
not only produces results which can be assigned to variables, or used to
construct new datastructures, but it also alters a pre-existing
structure. Side effects are often a source of obscure bugs in programs,
and there are some computer scientists who think they should not be
allowed, so they prefer to use "pure functional" languages that permit
no side effects. (An example of such a language is Miranda.) However,
there are many ways of designing useful software that make use of side
effects, so Pop-11 allows them. If you use these facilities you will
need to be very careful.

-- Invoking the updater of a procedure --------------------------------

A common way to change an existing structure is to use a procedure that
has an updater. An updater is a procedure that is invoked on the right
side of an assignment arrow. A procedure and its updater together are
sometimes referred to as a "doublet". For example, the Pop-11 procedure
for accessing the first element of a list, called "hd" is really a
doublet, consisting of two procedures: an accessor and an updater. To
illustrate this, first create a list held in the variable person, and
create three spare variables for use later.

        person = [[name john][sex male][age 27]],
        p, x, y;

We'll assign person to p, in order to illustrate some points later.

    person -> p;

Notice that p is not a COPY of person. It is the very same thing:

    person == p =>
    ** <true>

The "accessor" of "hd" can be used in many different contexts, e.g.

    hd(person) =>
    ** [name john]

    hd(hd(person)) =>    ;;; get the first element of the first element
    ** name

    hd(person) -> y;     ;;; assign the first element to y
    y =>
    ** [name john]

    hd(hd(person)) -> x;
    x =>
    ** name

Note that person is unchanged by this: the original first element is
still there:

    person =>
    ** [[name john] [sex male] [age 27]]

p is also unchanged:

    p =>
    ** [[name john] [sex male] [age 27]]

As the previous examples show, the accessor of hd is invoked on the left
hand side of an assignment arrow. We can invoke its updater on the right
hand side. This will cause the list to be changed. Thus:

    [name fred] -> hd(person);      ;;; invoke updater of hd

    person =>
    ** [[name fred] [sex male] [age 27]]

The value of p is still the same as the value of person, so p is also

    p =>
    ** [[name fred] [sex male] [age 27]]

But y has been left unchanged:

    y =>
    ** [name john]

We can use y to restore the original hd(person) thus:

    y -> hd(person);
    person =>
    ** [[name john] [sex male] [age 27]]
    p =>
    ** [[name john] [sex male] [age 27]]

The next example is more subtle. We are going to change the first
element of the first element of person. I.e. hd(hd(person)). This means
that there will be two occurrences of "hd" on the right of the
assignment arrow. But one of them will not be invoked as an updater,
i.e. the one inside the brackets: that is used access the item that will
be updated by the call of hd outside all the brackets thus:

    "forename" -> hd(hd(person));

Check the result:

    person =>
    ** [[forename john] [sex male] [age 27]]

As before this affects p also, because it is still "pointing to" the
very same thing as person. What about y?

    y =>
    ** [forename john]

Because y was the very same thing as the first item of person, changing
part of the first item of person also changed part of y, unlike the case
where replacing the whole of the first item of person left y unchanged.

One way to think of this is to think of a variable as a label attached
to its value by a piece of string. When you assign something to a
variable, you keep the same label, but you attach the string to
something else. So

    hd(person) -> y;

Takes the object that was the first element of person, and connects it
to the end of y's string. Then an instruction like:

    "forename" -> hd(hd(person));

changes the contents of the first item of the list person, and
so that changes the contents of the item to which y's string is

By contrast the instruction

    [name fred] -> hd(person);

replaces the thing that was the first element of person, but y's string
is still connected to what it was previously connected to, which is
no longer part of the list person. So this does not change y at all.
And if we THEN do

    "forename" -> hd(hd(person));

it will not affect y.

This example should help to show why programming with side-effects can
be confusing, and mistakes can be made. However, it is also often very
convenient, as long as you thing VERY clearly about what you are doing!

-- Other updaters: subscrv, subscrs -----------------------------------

The procedures hd and tl are used for accessing and updating the head
of a list or its tail (the sublist containing everything except the
first element). Each is a doublet, i.e. each has an updater.

The procedure subscrv is available for accessing and updating a
particular element of a vector, as illustrated here:

    vars vec = {the cat on the mat};

    subscrv(3, vec) =>       ;;; access the third element of vec
    ** on

    "under" -> subscrv(3, vec);     ;;; update the third element
    vec =>
    ** {the cat under the mat}

For accessing individual components of a string, use subscrs. The
components of a string are characters, which, in Pop-11 are the 8-bit
ascii character codes, as described in HELP ASCII. E.g. the code for
A is 65, for B is 66, etc., and these can also be represented as
`A`, `B`, etc. Thus we can access or modify characters in a string:

    vars string = 'ABCDE';

    string =>
    ** ABCDE

    subscrs(3, string) =>           ;;; get the third character
    ** 67

    `Z` -> subscrs(3, string);      ;;; update the third character
    string =>
    ** ABZDE

-- Using a numerical subscript to access or update a structure --------

In Pop-11, it is possible to access or update the N'th element of a list
or vector type datastructures simply by applying the structure to the
number N.

        list1   = [a list of words],
        vec1    = {contents of vector},
        string1 = 'ABCDE';

In each case we can access the second element simply by applying the
structure to the number 2:

    list1(2) =>
    ** list

    vec1(2) =>
    ** of

    string1(2) =>
    ** 66

Similarly a numerical subscript can be used for updating:

    "set" -> list1(2);
    list1 =>
    ** [a set of words]

    "without" -> vec1(2);
    vec1 =>
    ** {contents without vector}

    `?` -> string1(2);
    string1 =>
    ** A?CDE

This facility makes it easy to write a program that will operate
on objects of different types, e.g.:

    define iselement(item, structure) -> answer;
        lvars num;
        for num from 1 to length(structure) do
            if item == structure(num) then
                true -> answer;

        false -> answer;

    iselement("set", list1) =>
    ** <true>

    iselement("set", vec1) =>
    ** <false>

    iselement(`?`, string1) =>
    ** <true>

-- updaters, the stack and "explode" ----------------------------------

Typically an updater procedure, like the updater of hd, removes one item
from the top of the stack, and stores it somewhere. Pop-11 updaters are
not required to remove exactly one item. For example, if you have a
three element list or vector it can be used to store three items from
the top of the stack using the updater of the procedure explode, as
explained below.

Explode itself puts all the elements of a structure on the stack:

    vars vec = {a b c};
    explode(vec) =>     ;;; put all the elements of vec on the stack
    ** a b c

This leaves vec unchanged.

    vec =>
    ** {a b c}

We can use the updater of explode to take three things off the top of
the stack and store them in vec:

    [list 1] , [list 2], [list 3] -> explode(vec);
    vec =>
    ** {[list 1] [list 2] [list 3]}

So vec is now a vector containing three lists instead of three words.

The procedure "fill" is similar to the updater of explode, but also
returns the "filled" datastructure as its result. See HELP FILL)

-- Defining updaters --------------------------------------------------

Any Pop-11 procedure is allowed to have an updater associated with it,
whether it is concerned with accessing datastructures or not. Equally,
it is not essential for an updater procedure to take something from the
stack. For sophisticated programmers this is often a powerful tool,
which allows related pairs of procedures to be closely associated, and
used, for example, in connection with Pop-11's "dynamic local
expression" mechanism, introduced in HELP DLOCAL.

The syntax for defining the updater of a procedure is of the form:

    define updaterof ....

which is illustrated in HELP DEFINE, and discussed in a later chapter.

By default a newly created procedure is given an updater that does
nothing except produce an error message, like this:

    66 -> sqrt(4) =>
    ;;; INVOLVING:  <procedure sqrt>

HELP UPDATER gives more information. Experts can look at REF PROCEDURE.

>"">-- Non-destructive assignment "->>" -----------------------------------

The normal assignment arrow REMOVES the top item of the stack. It is
sometimes convenient to assign the top element of the stack yet
leave it there. This is done with the arrow "->>". For instance this
can be used to assign the same thing to several different variables:

    0 ->> x ->> y -> z;

This puts 0 on the stack, then COPIES the top of the stack into x,
then COPIES the top into y the MOVES the top of the stack into z.

-- Exercise -----------------------------------------------------------

Work out and write down what happens when the following imperative is

    (2 + 3) * 4 + 5 - 2 -> subscrv(4 - 2, vec1);

Try it out and compare the result with what you expect.

-- Multiple assignments -----------------------------------------------

All the following imperatives use the stack:

    (a) expression =>
    (b) expression;
    (c) expression -> variable;
    (d) -> variable;

we can replace 'expression' by a sequence of expressions separated
by commas and we can replace '-> variable' by a sequence of such
things, for example:

    1, 2, 3 -> z -> y -> x;

After this imperative has been executed z will have the value 3 and
x will have the value 1. Because the assignments remove the items from
the stack in the reverse order from their placement on the stack, this
notation can be confusion. So Pop-11 allows a special syntax for
assigning to several variables in the natural order. The above
instruction is equivalent to:

    1, 2, 3 -> (x, y, z);
    x =>
    ** 1

More usefully, after executing:

    x, y -> x -> y;

or, expressing the same thing more clearly:

    x, y -> (y, x);

the values of x and y will have been swapped.

Beware of writing programs which leave things lying around on the stack
for later use in a wanton fashion. Some people do this for the sake of
efficiency, since stack operations are very fast. However it can make
programs hard to understand, debug, or modify.

-- Some procedures which work on the stack ----------------------------

can be used to find out how many things are on the stack. When
invoked it counts the number of items on the stack and then leaves
that number on the stack, for example:

    2 + 3, 9 - 5, stacklength() =>
    ** 5 4 2

Notice that in Pop-11 a procedure which takes no arguments is invoked
by writing its name followed by two parentheses.


This procedure merely duplicates the top element of the stack.

    1,2,3,4, dup() =>
    ** 1 2 3 4 4



Increases or decreases the stack length to N, if necessary by removing
items or adding occurrences of [], the empty list (because the procedure
is used by the Poplog Lisp compiler). Examples:

    1,2,3,4, setstacklength(2), setstacklength(6) =>
    ** 1 2 [] [] [] []

-- Clearing items from the stack (erase) ------------------------------

removes one item from the stack, for example:

    2 + 3, 9 - 5, erase() =>
    ** 5


    5 + 5, 66, erase(), 8 * 8, 10 - 5, erase() =>
    ** 10 64

The assignment arrow followed by ";" or "," (or any other expression
terminator) has the same effect as "erase()". Thus:

    5 + 5, 66, -> , 8 * 8, 10 - 5, -> =>
    ** 10 64

Whether you use this or "erase" is a matter of taste. (However, "erase"
has to be used when a stack-clearing procedure is referred to
explicitly, e.g. assigned to another procedure as input.)

takes an integer and removes that number of items from the stack.

    1,2,3,4,5,6; erasenum(2) =>
    ** 1 2 3 4

Which is equivalent to: erasenum(1,2,3,4,5,6,2) =>

clears the stack. For example;

    2 + 3;
    stacklength() =>
    ** 0

Setpop does many others things besides clear the stack; it also aborts
any running program. It also prints a message whenever it is called. An
immediate call of setpop occurs whenever you type CTRL-C (unless you
have redefined the procedure INTERRUPT, described later).

For more on procedures that manipulate the stack, see REF STACK

-- Removing unwanted items from the stack -----------------------------

The procedure erase simply removes one item from the stack, so in:

        erase(2 + 2) =>

the expression in the parentheses will be evaluated but no result
will be printed. Erase is sometimes useful if you want only one of
the results of a procedure which produces two results. E.g. the
operation '//' performs integer division putting the remainder and
the quotient on the stack:

        23 // 6 =>
        ** 5 3

If you wanted to assign only the remainder to X, you could do:

        erase(23 // 6) -> x;
        x =>
        ** 5

or, using an extra "assignment to nothing" instead of erase:

        (23 // 6) -> -> x;
        x =>
        ** 5

(Actually the infix operation REM does the same:

        23 rem 6 -> x;
        x =>
        ** 5


To assign the divisor first assign the top of the stack, then erase
the second result:

    erase(23 // 6 -> x);
    x =>
    ** 3

or, using assignment to nothing

    23 // 6 -> x ->;
    x =>
    ** 3

(This can be done instead using the infix operator 'div':

    23 div 6 =>
    ** 3


-- Swapping items using the stack -------------------------------------

As described earlier, the following swaps the values of X and Y:

    x, y -> (y, x);

And this is equivalent to

    x, y -> x -> y;

The statement:

    -> (y, x); x, y;

has a rather different meaning. Effectively, it swaps the top two
elements of the stack and as a side-effect stores the top two items
in x and y. E.g.

    1, 2, 3, 4;
    -> (y, x); x, y;

    ** 1 2 4 3

    x, y =>
    ** 4 3

If we wanted to swap the first (i.e. top) and third elements of the
stack we could do:

    vars x, y, z;
    -> x -> y -> z; x, y, z;

or, more clearly,

    -> (z, y, x); x, y, z;

-- Conditionals and the stack -----------------------------------------

Previously we noticed that the use of a conditional like

    if x = 10 then x=> endif

depended on the fact that "=" is a predicate, i.e. a procedure
producing a boolean result. This result is left on the stack. You
can think of a conditional imperative of the form

    if <condition> then <action> endif

as being roughly equivalent to something like the following:

    1. Put value of <condition> on stack

    2. If the top element of the stack is true perform the
        <action>, otherwise jump to after 'endif'.

This means that if the expression between 'if' and 'then' produces
no result, then an error will occur. For example, "3 = x" produces a
boolean result, whereas the assignment "3 -> x" is simply an
imperative, and does not, so:

    if 3 -> x then x => endif;

    ;;; MISHAP - ste: STACK EMPTY (missing argument? missing result?)

The portion of Pop-11 between 'if' and 'then' produced no result.

Strictly speaking, Pop-11 is defined so that anything other than
false can be used as equivalent to true in a condition:

    if 99 then 66 => endif;
    ** 66

For this reason it is sometimes convenient to define a procedure so
that it returns either false or some object it is discovered. For
example, a procedure which searches down a list looking for a word,
and if it finds it returns that word as its result, otherwise
returns false:

    define findword(list) -> result;
        lvars item;
        for item in list do
            if isword(item) then
                item -> result;
        false -> result;

    findword([1 2 3 4 5 6]) =>
    ** <false>

    findword([1 2 3 4 five 6]) =>
    ** five

This might be used with the non-destructive assignment arrow thus:

    vars w;
    if findword(list) ->> w then
            .... do something with w ....


This chapter reviews some of the features of procedures in Pop-11,
including several that are not found in other languages, and also
provides more information on how to define procedures.

-- Procedures as "first class objects" --------------------------------

In Pop-11 procedures (which are referred to by Lisp programmers as
functions) are "first class objects". This is a phrase used by some
computer scientists to characterise programming languages with rich
facilities for manipulating procedures, in contrast with programming
languages in which you can merely define procedures and then run
(invoke, execute) them, but cannot do anything else with them: in the
latter case procedures are not "first class" objects.

In Pop-11 you can do several other things with procedures besides
defining them and running them. If P is a procedure, then:

o You can give P as input to another procedure (which is also possible
  in several other common languages e.g. Pascal). E.g. you can give the
  procedure sqrt as input to the procedure maplist, to get the square
  roots of a list of numbers thus:

    maplist([4 16 25 36], sqrt) =>
    ** [2.0 4.0 5.0 6.0]

o You can assign P to one or more variables, and use those variables to
invoke it:

    vars my_sqrt;
    sqrt -> my_sqrt;
    my_sqrt(16) =>
    ** 4.0

o you can return P as the result of running another procedure

o you can store P in a datastructure, like a list or a vector

    [^sqrt ^hd ^maplist] =>
    ** [<procedure sqrt> <procedure hd> <procedure maplist>]

o you can combine (or"compose") P with other procedures to form more
  complex procedures using the Pop-11 concatenation operator <>, as
  shown in a later section of this chapter.
    (See REF * PROCEDURE/'Generic Datastructure Procedures')

o you can combine P with some data to form a new procedure using
  "partial application". (See HELP * CLOSURES). For example, the
   built in Pop-11 procedure member, referred to in Chapter 1, takes
   some item and a list and decides whether the item is in the list.
   So if you have a list of colour words, you can define a procedure
   iscolourword by combining member with the list, thus.

        vars colours = [red orange yellow green blue indigo violet];

        vars iscolourword = member(% colours %);

  After that, iscolourword is a "Pop-11 closure", a combination of a
  procedure with some data, which can be treated as a new procedure,

        iscolourword("red") =>
        ** <true>

        ** <false>

o If P is defined inside another procedure Q, and accesses some lexical
  variables of Q, then you can (in some cases) form a "lexical closure"
  of P which is another procedure with associated data involving the
  values of the variables in Q at the time the closure was created.
    (See HELP * CLOSURES, HELP * LVARS/'lexical closures')

o You can give P a new updater, e.g. using the form:

    <new_updater> -> updater(P);

o You can use P as the updater of another procedure, e.g. using:

    P -> updater(Q);

Most of the points mentioned above have either been illustrated in
previous chapters or will be explained below. See also REF PROCEDURE

These features make Pop-11 a very powerful programming language. In
particular, the ability to re-use one procedure in a variety of ways to
create new procedures, helps with the design of modular programs and
also facilitates the creation of relatively compact, easily maintained,
but very general programs.

This is closely related to, though distinct from the re-use of "methods"
in object oriented programming (also available in Pop-11 in the FLAVOURS
and OBJECTCLASS packages).

In addition to Pop-11 programs being able to use existing procedures and
combine them to form new procedures according to the needs of the
occasion, Pop-11 also allows a running program to create new procedures
from procedure definitions. One way of doing this for a running program
to compile a file of procedure definitions which will then extend the
capabilities of the program. Another way is for a program to create a
list of text items then apply the procedure popval to it. Popval is able
to invoke the compiler to build a new procedure, or obey instructions in
the list. For example this will create a new procedure called "greet":

    popval( [ define greet(x); [hello ] => x => enddefine; ]);

Popval can be given lists that have been created by programs rather than
by the programmer. In this way a program can extend itself in a way that
depends on the environment when it runs, rather than on the programmer
having decided in advance what the extension should be. This can be a
powerful learning mechanism.

-- Other languages able to manipulate procedures ----------------------

There are not many other languages with similar generality: certainly
none of the most commonly used languages allow these uses of procedures,
e.g. Pascal, C, Fortran, Cobol.

Some of the "functional" languages, e.g. ML, Miranda and Scheme, come
close to Pop-11, though they do not have updaters or partial
application. Some of them have other powerful features. (E.g. Miranda
has "lazy evaluation", which is only partially mirrored in Pop-11
by "dynamic lists", described in a later chapter.)

-- Example: creating new procedures from old --------------------------

This section illustrates some of the ways in which procedures can be
manipulated to create new procedures. We'll create a procedure called
double, then show how to combine it with itself to get a new procedure
that quadruples. We'll also show how to combine it with a general
list-manipulating procedure to produce a new specialised procedure for
operating on lists of numbers.

The example will use procedure composition and partial application.
Suppose you have a procedure that takes a number and doubles it:

    define double(num) -> num;
        ;;; Double num then return it as a result
        num + num -> num;

    double(53) =>
    ** 106

We can combine this procedure with itself to produce a procedure that
calculates quadruples:

    (double <> double)(4) =>
    ** 16

We can also illustrate how the procedure (or function) double can be
given as input to a procedure that takes a list and a procedure, applies
the procedure to every element of the list, and returns a list of the
results. We can define such a "list mapping" procedure thus:

    define list_results(list, proc) -> newlist;

        lvars item;
        [% ;;; start making a list
            for item in list do

                proc(item)          ;;; apply proc to the item
                                    ;;; leaving the result on the stack
            ;;; now finish making the list of results
        %] -> newlist

(There is actually a built in procedure in Pop-11 called maplist, that
does something very similar, except that it includes instructions to
produce an error message if the second argument is not a procedure.)

We can give double as second argument to list_results, thus:

    list_results( [1 2 3 4 5], double ) =>
    ** [2 4 6 8 10]

-- Using "partial application" to create a closure --------------------

Previously we saw how to define the procedure iscolourword by using
partial application to combine member with a list. We can produce
another closure, as follows:

If we often wanted to double all the numbers in a list, we could create
a new procedure by partially applying list_results to double, and then
re-using the new procedure as needed.

To do this we use the partial application brackets "(% ... %)" which
have the effect NOT of running a procedure but of creating a NEW
procedure that can be run later on with the data between the brackets.

If P is a procedure that requires three numbers to run, then P(% 3, 4 %)
is a combination of P and two numbers, which can be run later on if the
third number is given.

Similarly the procedure list_results can be partially applied to the
procedure double, to create a new procedure that can be run later on if
a list is given to be provided as the first argument of list_results.

    vars double_elements = list_results(% double %);

or, using a better, but equivalent syntax, which shows more clearly
that we are defining a new procedure:

    define double_elements = list_results(% double %)

This defines double_elements to be a procedure made from the procedure
list_results by combining it with the procedure double as its "frozen

We now have a new procedure:

    double_elements =>
    ** <procedure double_elements>

We can apply double_elements to lots of different lists:

    double_elements([11 22 33]) =>
    ** [22 44 66]

    double_elements([66.5 103.45 89  77.002 1000000]) =>
    ** [133.0 206.9 178 154.004 2000000]

-- Using both partial application and procedure composition -----------

Now suppose we wanted to do the same using not double, but a procedure
that produces the double of the double, i.e. one that quadruples its
input. We can create such a procedure by composing double with itself,

    (double <> double)(2) =>
    ** 8

and we can give that procedure as the second argument input to

    list_results([1 2 3 4 5], double <> double) =>
    ** [4 8 12 16 20]

Now if we want to make a procedure that takes a list of numbers, and
creates a new list containing the quadruples of all those numbers we can
partially apply list_results to a procedure made by composing double
with itself, e.g.

    vars quadruple_elements = list_results(% double <> double %);

or, equivalently

    define quadruple_elements = list_results(% double <> double %)


    quadruple_elements([1 2 3 4 5]) =>
    ** [4 8 12 16 20]

Incidentally, this is equivalent to

    list_results( list_results( [1 2 3 4 5], double ), double ) =>


    [1 2 3 4 5], double, list_results(), double, list_results() =>

(as explained in Chapter 3.)

Here we have invoked list_results twice. This creates a list of doubles,
then a new list of doubles of the doubles. This is wasteful because
creating the intermediate temporary list uses up space that is not
needed again and will have to be reclaimed by the Pop-11 garbage
collector. This is one of many examples of ways in which two
mathematically equivalent methods of doing something may be very
different in terms of efficiency. (See also HELP EFFICIENCY)

-- Exercises on procedure creation and manipulation -------------------

1. Using the notation defined above, use procedure composition and
partial application to create a procedure called octuple_elements which,
when applied to a list of numbers, creates a new list containing the
results of multiplying those numbers by 8, i.e. the double of the double
of the double of each number.

2. Note that the built-in Pop-11 procedure maplist can be used instead
of list_results, in most of the examples. Check this by changing all the
examples to use maplist instead, and see how they work. If you give a
non-procedure as the second argument of maplist an error will result.

3. Use procedure composition and partial application to combine the
procedures maplist double and sqrt to produce a new procedure called
list_sqrt_doubles that when applied to a list of numbers produces the
square roots of the doubles of those numbers, and test it thus:

    list_sqrt_doubles([2 8 12.5]) =>

It should produce

    ** [2.0 4.0 5.0]

4. Just to test your understanding, in preparation for the next section,
try to work out what the following do, remembering that a vector, or
list can be used as a procedure by applying it to a number. So when a
list or vector of objects is given as second argument to maplist, an
error results, whereas list_results is more generous! For example:

    list_results([3 4], {cat dog mouse bird rabbit}) =>
    ** [mouse bird]

    list_results([1 3], [a b c d e]) =>
    ** [a c]

What will this one produce?

    list_results([2 4], [[list 1] [list 2] [list 3] [list 4]]) =>

5. What will be printed out as a result of these instructions:

    vars colourwords = [red orange yellow green blue indigo violet];

    define select_colours = list_results(% colourwords %) enddefine;

    select_colours([2 4]) =>

    select_colours([1 3 5]) =>

6. What does it mean to say that a programming language treats
procedures as first class objects? Why is this important?

7. What sorts of things can Pop-11 programs do with procedures besides
calling them?

8. In what ways can Pop-11 programs create new procedures while they
are running? How does the use of popval differ from the others.

-- Using non-procedures (e.g. lists, vectors) as procedures -----------

So far we have seen how procedures can be used as data, e.g. giving
double as argument to the composition operator, and saving the created
procedure in a variable, etc.

Not only can many different things be done with procedures in Pop-11: it
is also possible to treat certain objects as if they were procedures in
order to obtain general and modular programs. For example, consider a
list of three words:

    vars numlist = [cat dog mouse];

Although this is not actually a procedure, it has, from the mathematical
point of view, some of the properties of a procedure (or a function) in
that you can think of it as mapping the first three integers onto three
words. We can define a procedure that does this:

    define int_to_word(int) -> result;
        if int == 1 then "cat" -> result;
        elseif int == 2 then "dog" -> result
        elseif int == 3 then "mouse" -> result
        else mishap('NUMBER TOO BIG', [^int])

then we can use the procedure thus:

    int_to_word(1) =>
    ** cat
    int_to_word(2) =>
    ** dog
    int_to_word(3) =>
    ** mouse
    int_to_word(4) =>
    ;;; INVOLVING:  4
    ;;; DOING    :  int_to_word compile ...

However, in Pop-11 you do not need to define such a procedure. You can
use the list itself as a procedure by applying it to integers as if it
were a procedure, or mathematical function, thus:

    numlist(1) =>
    ** cat
    numlist(3) =>
    ** mouse
    numlist(4) =>
    ;;; INVOLVING:  4 [cat dog mouse]
    ;;; DOING    :  ...

Moreover, because numlist is a list, its contents can be changed,
altering the behaviour of the procedure or function that it simulates:

    "snake" -> numlist(2);


    numlist(2) =>
    ** snake

Similarly vectors and strings can be treated as procedures, in Pop-11.

        vec = {966 77 88 99},
        string = 'the cat';

    vec(3) =>
    ** 88

    string(1) =>
    ** 116

    string(2) == `h` =>
    ** <true>

(Remember that the strings are actually vectors of 8 bit integers,
representing character codes, as described in HELP ASCII, HELP STRINGS)

(NOTE: This use of integers for indexed access does not work with
records in Pop-11: they are assumed to have components that are
accessible only via particular named procedures associated with the
record class.)

-- Arrays are procedures in Pop-11 ------------------------------------

An array in Pop-11 is something like a vector of vectors, or a list of
lists. For example, suppose you wished to create a 3 by 4 array for
later use to store information.

You could do this:

    vars vecarray =
        { {undef undef undef}
          {undef undef undef}
          {undef undef undef}
          {undef undef undef}};

    vecarray ==>
    ** {{undef undef undef}
        {undef undef undef}
        {undef undef undef}
        {undef undef undef}}

(Note that "undef" is a word that is provided in Pop-11 for use when a
structure has to contain elements that are not yet defined.) We can
store the word "cat" in the third field of the second vector thus:

    "cat" -> vecarray(2)(3);

    vecarray ==>
    ** {{undef undef undef}
        {undef undef cat}
        {undef undef undef}
        {undef undef undef}}

or access it thus:

    vecarray(2)(3) =>
    ** cat

Then we can access or update any element of this structure by giving it
two numbers, the first between 1 and 4, and the second between 1 and 3.
This is in effect a two dimensional array with bounds 1 and 4 in the
first dimension and bounds 1 and 3 in the second dimension.

However, Pop-11 provides a mechanism for creating entities called
arrays which can have any number of dimensions and whose bounds can be
any integers, positive or negative. So we can create a 3D array with
bounds 2 to 5, 3 to 10, and -5 to +5 thus:

    vars array3d = newarray([2 5 3 10 -5 5]);

To access its elements we can give it three numbers, one for each
dimension, e.g.

    array3d(3, 4, -4) =>
    ** undef

Initially the word "undef" is the value of each field. We can update it

    [a list] -> array3d(3, 4, -4);


    array3d(3, 4, -4) =>
    ** [a list]

This shows that just as a vector or list can be treated as a procedure
applicable to one number at a time, to get at a particular location, so
an N-dimensional array is an object that can be treated as a procedure
that is applicable to N integers to access or update a field in the

Because arrays in Pop-11 are treated as procedures, all the operations
available on procedures can be used with them, including partial
application. Thus if you can partially apply array3d to the number -4,
to produce what is effectively a 2d array, which corresponds to one
2-d "plane" in array3d, thus:

    vars array2d = array3d(% -4 %);

    array2d(3, 4) =>
    ** [a list]

Again this ability in Pop-11 to abstract from the differences between
arrays and real procedures and treat them all as procedures provides
powerful facilities for generalisation and re-use of the same mechanisms
in different contexts.

More will be said on arrays in a later chapter.

-- Properties as procedures -------------------------------------------

An N dimensional array provides a mapping or association from sets of N
integers to values stored in the array.

Pop-11 also allows the creation of entities called "properties" that
will map or associate any objects with any others. There are various
ways of creating properties in Pop-11, depending on the particular
sort of mapping that is required.

-- -- newmapping associates things compared using "="

A major decision in setting up an association or property is to decide
what to do about two objects that are structurally similar with
identical components, but are not the very same object. Should they be
mapped onto the same thing or not? If so, use newmapping, otherwise use
newproperty. (Actually newmapping is based on a more general procedure,
newanyproperty, which will not be described here.)

Newmapping takes four arguments

    a. A list giving an initial mapping. (This list will be empty
       in our examples here.)

    b. An integer indicating the size the mapping is likely to grow to.
       This is actually used to decide the amount of space initially
       allocated to store the associations.

    c. A default item, with which everything is assumed to be
       associated. (Often the Pop-11 object false, or undef is used.)

    d. A boolean, i.e. the value true or false, which controls
       whether the space allocated for the mapping should be increased
       when appropriate, in order to increase the speed with which
       values are found.

(The second and fourth items merely affect efficiency, in most cases,
and make no difference to the logic of the program.)

For example, suppose you were storing information about individuals,
where an individual was always represented by a list like [john smith],
[marylou walker], etc.

Then if you store information about each individuals by associating it
with the lists, then if you re-created a list [john smith] later on, you
might want the new list to be associated with the same information as
the old list. In that case you should use newmapping, not newproperty.

For example, here are several mappings created using newmapping, with
table sizes 10, default values 0 or false, and expandability set to

        age = newmapping([], 10, 0, true),
        spouse = newmapping([], 10, false, true),
        occupant = newmapping([], 10, false, true);

We can then store information about different people, and rooms:

    33 -> age([john smith]);
    27 -> age([marylou walker]);

    [john smith] -> spouse([judy smith]);
    [mary low walker] -> spouse([bob walker]);

    [john smith] -> occupant([room 3]);
    [bob walker] -> occupant([room 5]);
    [ted bloggs] -> occupant([room 6]);

We can then ask for information:

    age([marylou walker]) =>
    ** 27

    age(spouse([judy smith])) =>
    ** 33

    occupant([room 4]) =>
    ** <false>

    occupant([room 3]) =>
    ** [john smith]

-- . Properties created using newmapping behave like procedures

Notice that the syntax for finding out what each property associates
with an object is the same as the syntax for applying a procedure to an
object. The properties, age, occupant and spouse are all both properties
and procedures. We can test for this using the built in predicates
isproperty and isprocedure:

    isproperty(age) =>
    ** <true>

    isprocedure(age) =>
    ** <true>


    isproperty(hd) =>
    ** <false>

    isprocedure(hd) =>
    ** <true>

Using newmapping we created properties that would give the same result
for lists created at different times, as long as they had the same
elements.  This is not so for properties created using newproperty: it
requires exactly the same object as before in order to remember the
mapping. A merely similar object will not do. (See HELP * EQUAL)

-- -- newproperty associates things compared using "=="

Newproperty requires a list, an integer representing the space allocated
for the association table, the default value with which objects are
associated, and a fourth argument that specifies how space will be
reclaimed by the garbage collector, which for now we'll assume must be
"perm", meaning that space will not be reclaimed, unless the whole
property is.
 For further details (See HELP * NEWPROPERTY and REF * newproperty)

For example, here are several mappings created using newproperty, with
table sizes 10, default values 0 or false.

        salary = newproperty([], 10, undef, "perm"),
        address = newproperty([], 10, undef, "perm");

We shall now again use lists to represent individuals, but this time
we associate each list with a variable, so that later we can get at the
very same list.

        john = [john smith],
        mary = [marylou walker];

We can then store salary and address information;

    15000 -> salary(john);
    25000 -> salary(mary);

    [room 3] -> address(john);
    [room 5] -> address(mary);

Now having set up the mappings we can ask for the information,
using the value of the variable as input to the properties, e.g.:

    salary(john) =>
    ** 15000
    address(mary) =>
    ** [room 5]

But if we try to use new copies of the items with which the information
is associated, we will not be able to drive the associations, because
properties created with newproperty need the input to be "==" to the
original, not merely "=" to it. Thus

    address([john smith]) =>
    ** undef
    salary([marylou walker]) =>
    ** undef

So it does not recognise the new inputs that are merely similar to the
old. But if it is given exactly the same, identical input, it will be

    salary(mary) =>
    ** 25000

The difference occurs because, although the following is true:

    mary = [marylou walker] =>
    ** <true>

This one is not:

    mary == [marylou walker] =>
    ** <false>

The difference between properties created by newmapping and properties
created by newproperty is that

    (a) the former are more general and flexible in their use
    (b) the latter are much more efficient in terms of time

The reason for (b) is that the use of "==" as a test is generally much
faster than the use of "=".

-- . Properties can be composed using <>, given to maplist, etc.

For example, using the mapping occupant, defined above, and maplist, we
can find the occupants of rooms:

    maplist([[room 3][room 4][room 5][room 6]], occupant) =>
    ** [[john smith] <false> [bob walker] [ted bloggs]]

We can compose properties to find spouses of occupants:

    maplist([[room 3][room 4][room 5][room 6]], occupant <> spouse) =>
    ** [<false> <false> [mary low walker] <false>]

So only room 5 has an occupant whose spouse has been identified.

-- Exercise using properties for the rooms database -------------------

In chapter 1, an example was developed at length involving the
dimensions of rooms, using a list of lists to represent all the
information, in this format:

    vars rooms=
        [[room1 10 12 8]
         [room2 6 11 8]
         [room3 15 11 8]
         [room4 10 12 9]
         [room5 21 11 9]];

A disadvantage of this kind of representation is that if the number of
items in the list is very large, then discovering the information about
particular rooms may require lengthy searches down the list. Properties
provide a far more efficient mechanism in such cases.

Try representing all this information using properties. Create a list of
names of all the rooms:

    vars rooms = [ room1 room2 ...];

Then for each aspect of a room define a property or mapping from the
room to its value for that aspect. E.g. room_length could be a property
associating room names (e.g. "room1") with numbers (e.g. 10). Similarly
room_breadth, room_height. Define these properties and set up their
initial values. Then rewrite all the procedures from chapter 1 that
previously searched through the list rooms so that they instead make use
of these properties.

Another approach would be to have a single property called
room_features, and associate each room with a list of three numbers, as

    [6 11 8] -> room_features("room2");

Which method is best for which purposes, and why?

-- DEFINING PROCEDURES IN POP-11 --------------------------------------

We have already seen some examples of procedure definitions. Here is a
partial specification of the most common format for a procedure

        then <name of procedure>
        then <formal parameters in parentheses, separated by commas>
        then -> (<output locals>) (if required, separated by commas).
        then semi-colon ;
        then local variable declarations, dlocal expressions,
        then actions to be performed
            (this may include conditionals, loops, additional
            local variable declarations, lexical blocks,
            nested "local" procedure definitions, etc.)

Example - a procedure, named DOUBLESUM which takes two numbers, and produces
a new number got by doubling the sum of the two.

    define doublesum (num1, num2);
        2 * (num1 + num2)

This definition produces a result, even though it does not use an output
local. This is because the procedure calls first '+' (add) then '*'
(multiply), and the latter leaves its result on the stack. So since
DOUBLESUM does not remove the result of '*', it is left as the result of
DOUBLESUM also. (See Chapter 3, and TEACH STACK).

We can make it clearer to ourselves, and readers of our programs if we
indicate that a procedure is to produce a result, by using an 'output
local' variable in the procedure heading, as we did previously, thus:

    define doublesum (num1, num2) -> result;
        2 * (num1 + num2)   -> result

(NOTE for experts: though clearer this is marginally less efficient,
since it has an extra local variable, and does an extra assignment and
stack operation. usually clarity is worth more than efficiency!)

Another example - if you already have the POP-11 rc_graphic package
loaded, (See TEACH RC_GRAPHIC), which includes a procedure called
rc_draw, which takes a number and draws a line, and a procedure called
rc_turn, which takes a number in degrees representing the angle to turn,
then you can define a procedure named SQUARE which will take a number,
and will draw a square of the appropriate size:

    define square (side);
        repeat 4 times
            rc_draw(side); rc_turn(90);

This procedure produces no result. So there is no need for an output

There are additional forms of procedure definitions, some of which have
already been illustrated in previous chapters. E.g. procedures may
produce multiple results, like the system procedure explode and the
procedure join_two defined in Chapter 2.

It is also possible to define procedures whose names are used as infix
operators (like rem, mod, +, * and <>). More on this below.

It is also possible to use the "define ... enddefine" syntax to specify
other things than procedure definitions. This because the form can be
extended by using the define_form mechanism, described in the only file

 = ... enddefine"">-- Using "define <name> = ... enddefine" ------------------------------

There is an alternative syntax that is often useful when existing
procedures are being used to create new procedures. We have
already used it in defining closures, above:

        then <name of procedure>
        then =
        then an expression evaluating to a procedure

A procedure formed by concatenating two other procedures

    define pr_sqrt = sqrt <> pr enddefine;


A procedure formed by partial application

    define list_of_doubles =
        maplist(%procedure (x); x + x endprocedure%)

    list_of_doubles([1 2 3 4]) =>
    ** [2 4 6 8]

A procedure that's actually a property

    define father_of =
        newproperty([[tom joe][mary joe][harry dick]],100,false,true)

    father_of("mary") =>
    ** joe
    father_of("joe") =>
    ** <false>

-- Specifying the syntactic type of a procedure identifier ------------

It is possible to specify that a procedure name is global, constant, a
procedure identifier, a lexical constant a lexical variable, or
temporarily redefined local to a procedure, using forms like

    define global <name> ...

    define global constant procedure <name> ...

    define global vars procedure <name> ...

    define lconstant procedure <name> ...

    define dlocal procedure <name> ...


In short, the kinds of specifiers that can occur in a variable
declaration can also occur in a procedure header.


-- Executing (calling, running, applying) a procedure -------------

An imperative telling Pop-11 to run, or invoke, a procedure, is formed
by writing the procedure name, followed by parentheses, with any
arguments (if any are needed) between the parentheses. E.g.


I.e.: execute the procedure square with 5 as argument. i.e. the input
variable, or formal parameter, used in the procedure definition, namely
side, gets the value 5.  Similarly, we can invoke doublesum with two
arguments, both numbers:

    doublesum(3,99) =>
    ** 204

I.e.: execute the procedure doublesum, with 3 and 99 as arguments. I.e
num1 gets the value 3 and num2 the value 99. The result (204) is printed
out by =>

Instead of printing out the result, we can assign it to a variable, e.g.
x, thus:

    doublesum(4, 60) -> x;

Alternatively the result of doublesum can be used as input to another
procedure, such as square, as in

    square(doublesum(4, 60));

Note that this is equivalent to:

    4, 60, doublesum(), square();

-- Procedures with more than one output local -------------------------

If a procedure is to return one or more results, it can be given OUTPUT
LOCALS. We have already seen examples of procedures with one output
local variable, e.g. doublesum, above, and several others before that.
Sometimes it is convenient to have a procedure produce more than one

For example, here is a procedure which takes a list of numbers and
produces the sum of all the numbers, and their average, i.e. two
results. The two results are left on the stack when the procedure exits.

    define stats(numlist) ->(average, sum);
        0 -> sum;

        lvars item;
        for item in numlist do
            item + sum -> sum;

        sum/length(numlist) -> average

    vars s a;
    stats([ 1.0 3.5 5.3 9.62 ]) -> (a, s);
    s =>
    ** 19.42
    a =>
    ** 4.855

NB output locals are like ordinary local variables in that the values
assigned to them during execution of the procedure are not available
after the procedure has finished. E.g. if you try to access the values:

    sum =>
    ** <undef sum>
    average =>
    ** <undef average>

-- Output locals and the stack ----------------------------------------

Output locals can be assigned to anywhere in the procedure. When the
procedure finishes, the values of the output locals are left on the
stack. In the example above the values are then taken off the stack
after the procedure STATS has finished, and assigned to A and to S.

It may be useful to remember the following "symmetry" between the "input
variable" numlist, and the "output" variables, average and sum, in the
definition of stats:

    define stats(numlist) ->(average, sum);

(a) The input variables are used without any  assignment arrow, yet
values are ASSIGNED TO THEM from the stack when the procedure starts up.

(b) The output variables appear to be preceded by an assignment arrow,
yet their values are copied to the stack when the procedure finishes:
the reverse of an assignment.

This is the reverse of what happens when a procedure is invoked with
actual arguments:

    stats(list) -> (a, s);

Here, before the procedure runs:
(c) a value is taken FROM the variable "list" and copied to the stack,

(d) and when the procedure has finished two items at the top of the
stack are moved into the variables a and s.

So (a) is the reverse of (c) and (b) is the reverse of (d). Nevertheless
the same syntactic form is used in both the header of a procedure
definition and in a later invocation of the procedure. The procedure
header gives a sort of "template" for using the procedure.

As a reminder of points made in the previous chapter, the procedure

    define foo(i1, i2) -> (r1, r2);

can be thought of as roughly meaning

    To do sumsq;
        make i1, i2, r1, r2 lexical local variables for the procedure
        -> i2;
        -> i1;
        <do the procedure instructions>
        put value of r1 on stack.
        put value of r2 on stack

Note that the order in which values for i1 and i2 are taken off the
stack is the reverse of the order in which they are put on the stack
when the procedure is invoked. This is because it is a stack!

-- Precedence and parentheses -----------------------------------------

There is a syntactic complication in Pop-11, like most programming
languages, which we have so far illustrated without commenting on.
Some procedures are run by writing their names before the parentheses,
with inputs between parentheses as in the imperative 'member(x, list)'.

By contrast some procedures, such as the arithmetic procedures '+', '*',
'-', are invoked by writing the name between the inputs, as in

    3 * 5, 77 + 7

etc. These are known as 'infix' operators. They are names of ordinary
procedures, but have special syntactic properties to simplify their use.
If the same expression contains two such infix operators there may be an
ambiguity. For instance: how is 3 + 4 * 5 to be understood? One way is
to use parentheses to indicate whether the addition or the
multiplication is to be done first:

    (3 + 4) * 5 =>
    ** 35

    3 + (4 * 5) =>
    ** 23

Parentheses are also the principal way that we get round Pop-11's
requirement that everything be written 'linearly'. So the 'ordinary'
way of writing a division

        7.50 + 19.43


        (7.50 + 19.43)/27 =>
        **  0.99740741

Each of the infix operations of Pop-11 has a 'precedence' associated
with it. A precedence is a number which determines the order in
which the operations are applied. Both '+' and '-' have a precedence
of 5. '*', '/', and '//' however have a precedence of 4, indicating
that these operations are applied before addition and subtraction
where brackets are not used to remove any ambiguity. The concatenator
operator '<>' has a precedence of 5.

Because of the precedence rules, in this example:

    3 + 4 * 5 =>
    ** 23

the multiplication is done first because its precedence is lower than
that of '+'.

Generally, infix procedures with the LOWEST numerical precedence are
evaluated first. The precedence of '*' is 4 and that of '+' is 5 so the
above expression is equivalent to '3 + (4 * 5)'.

Note, unlike many other programming languages Pop-11 uses larger
precedence to represent larger scope. I.e operators with smallest
precedence bind their arguments "most tightly" to themselves. In many
other languages the reverse convention is used.

In the case of operators of equal precedence they are applied from left
to right, thus, since "*" and "/" have equal precedence:

    6 / 2 * 5 =>
    ** 15


    6 / (2 * 5) =>
    ** 0.6

-- -- Precedences of arithmetical operations

The precedence table for arithmetic operations is as shown below.

        Operation       Precedence
        div                2
        rem                2
        mod                2
        **                 3
        * / //             4
        + -                5
        > < >= <=          6
        =                  7

Using this table it can be seen that the result of typing the statement

    3 - 2.5  ** 2 * 1.5 / 3 =>

will be

    ** -0.125

The order of evaluation is as follows:

Original expression                     3 - 2.5 ** 2 * 1.5 / 3
Apply operations of precedence  3       3 - 6.25 * 1.5  /3
Apply operations of precedence  4       3 - 3.125
Apply operations of precedence  5       -0.125

Another way of looking at this is to see that the original expression is
transformed into a collection of instructions to Pop-11 that use the
stack. I.e.

    3 - 2.5 ** 2 * 1.5 / 3 =>

translates to:

    3, 2.5, 2, **, 1.5, *, 3, /, - =>

Notice how the left right order of operators here corresponds to their
numerical precedence.

Pop-11 can be thought of as obeying the above instruction through the
following sequence of transformations:

    3, 2.5, 2, **, 1.5, *, 3, /, - =>
    Procedure ** runs, taking two inputs and producing one result
    3, 6.25, 1.5, *, 3, /, - =>
    Procedure * runs, taking two inputs and producing one result
    3, 9.375, 3, /, - =>
    Procedure / runs, taking two inputs and producing one result
    3, 3.125 - =>
    Procedure - runs, taking two inputs and producing one result
    ** -0.125

-- . Parentheses can override operator precedence

The precedence associated with each operation defines an order of
evaluation of an expression. If another order is required, parentheses
can be used in the conventional way. For example:

    (3 - 2.5) ** 2 * 1.5 / 3 =>
    ** 0.125

The rules of precedence apply to each expression within a pair of

Parentheses may be nested to any depth, the expressions within inner
parentheses being evaluated first.

-- . Operators associate to left, unless precedence is negative

Where parentheses are not present, and the precedences do not uniquely
define an order of evaluation, then evaluation proceeds from left to
right. I.e. operations associate to the left. So

    3 / 4 / 5

is equivalent to

    (3 / 4) / 5

which denotes  0.15, unlike

    3 / (4 / 5)

which denotes  3.75.

Otherwise infix procedures with a positive precedence are evaluated left
to right.

Thus if +++ were defined as an infix procedure of precedence 3, then

    a +++ b +++ c +++ d

would be equivalent to

    (((a +++ b) +++ c) +++ d)

However, if the precedence is negative, the operation will associate
to the right. So if +++ had precedence -3, then

    a +++ b +++ c +++ d

would be equivalent to:

    (a +++ (b +++ (c +++ d)))

For more on precedence see HELP DEFINE

The HELP PRECEDENCE file gives more information on precedences in
Pop-11. Precedences in Pop-11 may be positive or negative numbers in the
range -12.7 to +12.7.

-- -- Using identprops to discover precedence

The procedure called 'identprops' can be used to find out the precedence
of an operator. For an ordinary variable the precedence is 0. For

    vars xx, list3;
    identprops("xx") =>
    ** 0
    identprops("list3") =>
    ** 0

For an infix operator it will be some other number. For a syntax word or
macro (see later) identprops produces the word "syntax" or "macro". If
applied to something which has not been declared by the user or the
system, it produces the result undef. Thus:

    identprops("+") =>
    ** 5

    identprops(">") =>
    ** 6

    identprops("if") =>
    ** syntax

    identprops("help") =>
    ** macro

    vars x;
    identprops("x") =>
    ** 0

    identprops("xxxxx") =>
    ** undef

-- Defining new infix procedures --------------------------------------
(Beginners should omit this section.)

Users may define their own new infix operators by specifying the
precedence after the word 'define'. E.g. to define an operation of
precedence -3.5 /// which divides its first argument by the square of
its second, and associates to the right:

    define -3.5 x /// y;
        x / (y * y)

    3 /// 4 =>
    ** 0.1875
    4 /// 5 =>
    ** 0.16
    3 /// 4 /// 5 =>
    ** 117.187
    (3 /// 4) /// 5 =>
    ** 0.0075

Infix procedures are available for other purposes besides numerical
operations. We have already seen that "<>" is an infix operation which
can join two lists or two procedures together, for instance, and
"matches" is an infix operation used for comparing two lists.

    identprops("matches") =>
    ** 8

The equality symbols "=" and "==" are also used as infix operators
applicable to arbitrary objects.

-- Different types of procedures: normal, infix, macros, syntax -------
   (This section may be omitted by beginners)

Procedures come in four types: normal, infix, macros and syntax
(including syntactic operators, described below.).

Strictly speaking, it is the identifiers that come in four types - their
values are in all cases simple procedure records.

A normal procedure, with a normal identifier, is one which is invoked by
writing its name, followed by an opening parenthesis, its arguments (if
any) separated by commas and finally a closing parenthesis, for example:

    foo(x + 1, y)

This applies the procedure which is the value of the variable FOO to the
results of evaluating the expressions 'X + 1' and 'Y'.

-- -- Infix operators have a " precedence"

Infix operators were defined and discussed above.

An infix procedure is invoked by writing its name between its arguments.
(Typically, infix procedures have two arguments). For example '+' is an
infix procedure, thus:

    3 + 4

Some "infix" operators take a single argument. E.g. we could define
"root" as an infix operator of precedence 2, taking one argument.

    define 2 root x -> result;
        sqrt(x) -> result;

    root 16 =>
    ** 4.0

    root 16 + root 25 =>
    ** 9.0

-- -- Macros and syntax words

Macro procedures and syntax procedures can be used to extend the syntax
of Pop-11. They are evaluated at compile time (i.e. when read in by the
compiler). They are explained in more detail after further discussion of
forms of expression that can be used in defining ordinary procedures.

A syntax word can be identified by applying the procedure identprops
to it. If the argument is a syntax word, identprops returns either the
word "syntax" or a special kind of word like "'syntax 2'", "'syntax 5'"
which includes a number. These are syntactic operators. E.g.

Ordinary syntax words:

    identprops("if") =>
    ** syntax

    identprops("elseif") =>
    ** syntax

    identprops("endif") =>
    ** syntax

Syntactic operators:

    identprops("(") =>
    ** syntax -1

    identprops("and") =>
    ** syntax 9

    identprops("or") =>
    ** syntax 10

-- . . Syntactic operators

As illustrated above, there are some syntax words, like "and" and "or"
and "(" which are not merely syntax words, but also have an associated
precedence. This helps the Pop-11 compiler sort out the complex
rules for grouping expressions in a text stream.

-- Some important constructs used in defining procedures --------------

-- Loops: instructions to do something repeatedly ---------------------

Several looping constructs are provided.

For compatibility with older systems, wherever the word DO is used in
the examples below, the word THEN is also accepted. Similarly most
looping constructs will accept CLOSE or ENDDO as the closing bracket,
for consistency with POP-2 and earlier versions of Pop-11.  It is
probably best to ignore these variant forms, as they may be withdrawn

The examples of looping constructs below are among the most widely used
ones. There are others described in HELP LOOPS and HELP FOR. Moreover,
because Pop-11 is an extendable language, users can define new syntax
words and macros defining new constructs, as explained below. Examples
are the library definitions of "foreach", "forevery", and "switchon",
each of which has its own help file. In each case the library
definitions can be inspected using the "showlib" command, e.g.

    ENTER showlib foreach

-- -- UNTIL <condition> DO <action> ENDUNTIL

This means, check if the <condition> is true, and if not then do the
action. Then test again to see if the condition is true. And so on.
The condition is tested again each time AFTER <action> is done. For
example, to print out all the numbers from 3 to
99 do:

    vars num;
    3 -> num;
    until num > 99
    do    num =>
      num + 1 -> num;

The <action> element of a loop (like a conditional) may be an
arbitrarily complex pop-11 imperative, or sequence of imperatives.
So to print out the words "THE" "CAT" "SAT" "ON" "THE" "MAT", you
could make a list of the words, then keep printing out elements of
the list. We use the system procedure TL which, when given a list,
returns a new list containing all except the first element of the
original. chop one off. until the list is [], thus:

    vars list;
    [the cat sat on the mat ]  -> list;
    until list == []
        list(1) =>                  ;;; print first element
        tl(list) -> list;           ;;; prepare for next

NB the loop will not be terminated immediately if the condition
becomes TRUE in the middle of executing the action. Note also that
the condition is always tested at least once BEFORE anything else is

-- -- REPEAT <number> TIMES <action> ENDREPEAT

After the word REPEAT you can have a number, e.g. 4, or a variable whose
value is a number, e.g. REPEAT N TIMES...
or a more complex expression which calculates a number,

      e.g. repeat 66 + 53 times....   endrepeat;

The <action> will be done the specified number of times.

Example: to print out  10 blank lines, do

    repeat 10 times pr(newline) endrepeat;

Make a list of 10 randomly generate numbers between 1 and 20

    [% repeat 10 times random(20) endrepeat %] =>
    ** [12 15 19 18 9 5 4 11 17 19]

See also the definition of procedure SQUARE, above.

For indefinite iteration do

    REPEAT <action> ENDREPEAT;


        [you are wonderful] =>

You will need to interrupt (e.g. with CTRL-C).

(See HELP LOOPS for more on interrupting loops)

-- -- WHILE <condition> DO <action>  ENDWHILE

This means, test the condition. If it is true, then do the action. Then
test the condition again. And so on. This is similar to UNTIL, except
that WHILE does the action each time the condition is found to be TRUE
whereas UNTIL does the action each time the condition is found to be
FALSE. In both cases the condition is tested first.

E.g. to find the first integer whose square is greater than 1000, you
could do:

    vars num;
    1 -> num;
    while num * num < 1000 do
        num + 1 -> num

The value of num and its square can now be printed out:

    num =>
    ** 32
    num * num =>
    ** 1024

-- -- 'FOR ... ENDFOR' loops

We have seen examples of the use of the 'for ... endfor' construction,
to iterate over lists. In fact there are several different formats.

The following is a very general for loop, which can be used in many
contexts, although a more specific version will often be preferred.

  FOR <initiate> STEP <step> TILL <condition> DO

This is equivalent to:

      UNTIL <condition> DO <action>; <step> ENDUNTIL;

In other words, do the initialisation, then, until the condition
evaluates to TRUE, repeatedly do the action followed by the step.

For example, to print out all the numbers from LO to HI, separated by

    for   lo-> x
    step  x+1 -> x
    till  x > hi
    do    spr(x);

N.B. The 'step' is not done until after the 'action'.

Suppose FOO is a procedure of two arguments, a word and a number.
If you are given a list of words and a list of numbers and wish to
apply FOO to the first element of each, then the second element of each,
etc., until either there are no more words, or no more numbers, you
could do something like:

    vars w, n;
    for   words -> w; numbers -> n;
    step  tl(w) -> w; tl(n) -> n;
    till  w = [] or n = []
    do    foo(hd(w), hd(n));


-- . .    FOR X IN LIST DO <action> ENDFOR;

X will take on as its value the first element of LIST, then the second
element, then the third, etc. Each time the <action> is performed the
latest value of X will be used. E.g. printing out the squares of a list
of numbers

    for num in numbers do
        pr('\nThe square of: '); pr(num); pr(' is: '); pr(num*num);

(Note: this uses strings. '\n' in a string causes a new line to be

It is also possible to iterate over several lists at the same
time, e.g.

    for x1, x2, x3, in list1, list2, list3 do
        <something involving x1, x2, x3>


-- . .    FOR L ON LIST DO <action> ENDFOR;

Here, the first time the <action> is done L will refer to the whole LIST.
The second time it will refer to the TAIL of the list (i.e. a list of all but
the first element). The next time a still shorter list, and so on.

    for l on [a b c] do l=> endfor;
    ** [a b c]
    ** [b c]
    ** [c]

Again this can be done with several lists at once.


-- . .    FOR X FROM <number> BY <number> TO <number> DO

    FOR X FROM <number> BY <number> TO <number> DO

e.g. to print out numbers from 2 to 20 going up in steps of 7

    for x from 2 by 7 to 20 do  x => endfor;
    ** 2
    ** 9
    ** 16

or going down:

    for x from 50 by -12.5 to -20 do x => endfor;
    ** 50
    ** 37.5
    ** 25.0
    ** 12.5
    ** 0.0
    ** -12.5

the 'FROM <number>' and 'BY <number>' portions can be omitted. The
starting value defaults to 1, as does the increment.

    vars x;
    for x to 6 do pr(x); pr(space) endfor;
    1 2 3 4 5 6

-- -- There are several forms of conditionals. ------------------------

All the <conditions> in what follows should be expressions which
evaluate to TRUE or FALSE.

(1) IF <condition> THEN <action> ENDIF;

(2) IF <condition> THEN <action1> ELSE <action2> ENDIF;
     if the <condition> is true, then <action1> will be executed,
     otherwise <action2> will be executed.

(3) IF <condition1> THEN <action1>
    ELSEIF <condition2> THEN <action2>
    ELSEIF <condition3> THEN <action3>
    ELSEUNLESS <condition4> THEN <action4>
    ELSE <default action>

This 'multi-branch' conditional says:

    try <condition1> then <condition2> etc in turn until an ELSEIF
    condition is found which is TRUE, or an ELSEUNLESS condition is
    found which is FALSE. If either is found, execute the
    corresponding <action>.  If none of the conditions comes out
    TRUE then do the thing following ELSE, i.e. <default action>.

Note that in an imperative you do not have to have the ELSE <default
action> bit. You must, however, have it in an expression intended to
denote, something, for then it should denote something under all
conditions. You can include as many ELSEIF clauses as you like.

  (4)   UNLESS <condition> THEN  <action> ENDUNLESS;
       this is equivalent to:
       IF NOT(<condition>) THEN <action> ENDIF;

UNLESS can also have ELSEUNLESS and ELSEIF and ELSE clauses.

Note: the words NOT, AND and OR are available for use in formulating complex
conditions. E.g.

    IF <condition1> OR (<condition2> AND NOT(<condition3>))

-- . . Examples of conditionals

To test whether the value of X is bigger than the value of Y, and
print out the bigger value do:

    if    x > y
    then  x =>
    else  y =>


    if       x > y
    then     x =>
    elseif   y > x
    then     y =>
    else     "same" =>

    if    2 < x and x < 6
    then  true
    else  false
    endif =>

Note that the last example is exactly equivalent to:

    2 < x and x < 6  =>

If LIST1 and LIST2 are two lists and you want to print out the one
which is shorter you could do:

    if    length(list1) < length(list2)
    then  list1
    else  list2
    endif =>

If N and M are two numbers, and you wish to assign the bigger
one to the variable MAX then do:

    if    m > n
    then  m
    else  n
    endif -> max;

-- Using conditionals to jump out of, or re-start a loop. -------------

Several of the looping constructs have their own natural terminating
conditions. E.g. the "until" loop form stops as soon as its condition
evaluates to TRUE.

However, it is sometimes useful to have additional tests for "unusual"
exits within the "body" of a loop. The syntax words "quitloop",
"quitif", and "quitunless" provide this. They can also be used with an
integer specifying which loop to jump out of. The default is 1, meaning
jump out of the smallest enclosing loop, whereas quitloop(3) means jump
out of the third enclosing loop. These expressions are normally used
with conditional tests, e.g.

    if list == [] then quitloop(2) endif;

Such a test can be abbreviated thus:

    quitif(list == [])(2);

Similarly there is an analogue of "unless", i.e.

    quitunless(x < y);

is equivalent to

    unless x < y then quitloop() endunless;

-- -- Re-starting a loop using "nextloop"

Just as it is sometimes useful prematurely to terminate action so is it
sometimes useful also to restart a loop prematurely. For example if a
loop's body includes a sequence of instructions, then it may be possible
to use a time-saving instruction of this form:

    if x > y then nextloop(3) endif;

This means that if x > y  ever evaluates to true, then the third
enclosing loop should be re-started. This does not mean that if it is a
"for" loop the loop variable should be reset to its initial value. It
is equivalent to jumping to just before the end of the loop, e.g. just
before "endrepeat", "endwhile", etc., unlike "quitif" and its friends,
which jump to just after the end.

-- -- Other abnormal exit commands ----------------------------------

In addition to the above commands for quitting or re-starting a loop
there are several procedures that can be used to exit from the
current procedure, or some other procedure that is `higher up' the
control chain. In particular

-- . "return" can be used to terminate execution of a procedure.

-- . Other abnormal exits.
The following syntax words can be used to deal with more complex cases:

    chain, chainto, breakto, catch, jumpout

See HELP CONTROL for more information.

-- -- Switch statements -----------------------------------------------

Pop-11 provides a command GO_ON which can be used thus

GO_ON <numerical expression> TO <label1> <label2> <label3> ...<labeln>;

The expression must evaluate to a number in the range 1 to N, if N
is the number of labels. The labels must be repeated elsewhere in
the procedure, followed by colons. For instance, the following will
translate numerals:

    define trans(num);
      go_on num to la lb lc ld;
      la: "one" ; return;
      lb: "two" ; return;
      lc: "three" ; return;
      ld: "toobig";
    trans(2) =>
    ** two

A GO_ON instruction may end with ELSE <default label>; See HELP GO_ON.

-- Other syntactic constructs -----------------------------------------

The preceding sections merely introduce a subset of the constructs
available in constructing procedure definitions. Additional facilities
are provided for different kinds of loops, and for transferring control
between procedure activations (e.g. using exitto). Moreover the Pop-11
"process" mechanism adds additional facilities not found in many

Further reading can be found in later chapters, and in the following
online help files



-- Tracing procedures -------------------------------------------------

To trace some procedures, type TRACE, followed by the names of the
procedures. example:

    trace square doublesum;

will cause the two procedures to be traced whenever they are
executed. UNTRACE is used to undo tracing, e.g.

    untrace square doublesum;

For more on this see TEACH TRACE. HELP TRACE gives a summary and
explains the tracing mechanisms in more detail.

-- Defining macros and syntax words to extend the language. -----------

-- -- Macros

Macro procedures can be used to extend the syntax of Pop-11. They are
evaluated at compile time (i.e. when read in by the compiler).

A macro typically reads in items (e.g. words, strings, numbers) from the
current program text input stream and then creates new text items to
replace those read in. The original items need not have been legal
Pop-11. The replaced items will be legal Pop-11, unless they include
macros, which can cause further changes.

An example would be a macro procedure to read in two variable names and
produce instructions to swap their values. It transforms illegal Pop-11
expressions like,

    swap x y;
    swap list1 list2;

into legal Pop-11 like

    x, y -> x -> y;
    list1, list2 -> list1 -> list2;

which are equivalent to

    x, y -> (y, x);
    list1, list2 -> (list2, list1);

as explained in Chapter 2.

This is how the macro "swap" could be defined.

    define macro swap var1 var2;
        ;;; Transform "swap x y" into "x, y -> x, -> y"

        var1, ",", var2, "->", var1, "->", var2


This could be used as follows:

    vars x = 99, y = 66;
    x, y =>
    ** 99 66

    swap x y;
    x, y =>
    ** 66 99

The word "nonmac" can precede a macro name to prevent its evaluation, as
in this example

    nonmac swap =>
    ** <procedure swap>

For more details and further examples see HELP MACRO.

-- . Macros can be recursive

Macros can invoke other macros (or themselves) recursively. If the text
put on the input stream by one macro includes another macro, the second
macro's procedure will be invoked when it is read in. This can happen
several times, causing the program text to be rearranged several times,
until all that is left is legal Pop-11 syntax words and other text
items, whereupon the program will simply be translated into machine
code, i.e. compiled.

Unlike some languages with macros, Pop-11 macros can operate after some
user programs have been compiled, and may therefore invoke those
programs. (In fact a macro is just a user program.) This means that
users can write macros that do very complex manipulations of the text
stream, as in Lisp. An example of a fairly complex macro is "switchon"
defined in a Pop-11 library program LIB SWITCHON, and described in HELP

-- . Macro arguments are text items, not expressions

NOTE: The arguments of a macro are bound to the individual following
TEXT ITEMS, not the two following EXPRESSIONS: so if the macro swap has
two arguments then the expression

    'swap x y' is correct


    'swap hd(x) hd(y)' is wrong

because the latter would give the next two text items "hd" and "(" as
arguments to swap. So it would be transformed into:

    hd, (, -> hd, -> (, x) hd(y)

which will cause a mishap to occur, in this case:

    ;;; INVOLVING:  hd

It would be possible to write a macro that coped with expressions like

    swap hd(x) hd(y)

by translating them into

    hd(x), hd(y) -> hd(x) -> hd(y)

This would require making use of the procedure pop11_comp_expr and the
variable pop_syntax_only. However this will not be explained here, as
there is a more powerful facility already available, explained in the
next section.


-- -- Using "define :inline" to define the SWAP macro

It is possible to use a facility described in HELP INLINE to produce the
required version of swap, which accepts arbitrary expressions. The
following defines a new macro SWAP

    define :inline SWAP(expr1, expr2);

        expr1, expr2 -> (expr2, expr1)


    ;;; check that it is a macro

    identprops("SWAP") =>
    ** macro

It can be invoked in the format

    SWAP(<expression1>, <expression2>)

and will cause the values of the two expressions to be exchanged.

We can test this as follows. First the easy case, where the expressions
are individual identifiers.

    vars x = 66, y = 88;

    x,y =>
    ** 66 88

    SWAP(x, y);
    x,y =>
    ** 88 66

The format can also be used when the expressions are complex, e.g.

    vars list = [cat dog mouse];

    SWAP(list(1), list(3));

    list =>
    ** [mouse dog cat]

Note that SWAP thus defined is a macro, not a procedure. It is run at
compile time, i.e. while procedures are being compiled, not at run time.
Unlike ordinary procedures, it does not evaluate its two arguments and
then do something with the values. Rather, during the compilation
process it creates new code using the expressions to which it has been
applied, not the values. This can be seen by tracing the macro

    trace SWAP;
    SWAP(list(1), list(3));
    > SWAP
    < SWAP list ( 1 ) , list ( 3 ) -> ( list ( 3 ) , list ( 1 ) )

Because the "define :inline" form produces macros, not ordinary
procedures, users are STRONGLY advised to use names that give a reminder
that something unusual is involved, e.g. by choosing upper case names, as
in the example above.

For more information see HELP INLINE.

-- -- Note on efficiency of macros

Often the use of macros produces "inline" code instead of procedure
calls and can therefore be very efficient. However, in some cases the
use of macros defined as above can be very wasteful as the repetition of
complex expressions may cause the same thing to be recomputed

For example

    vars list1 = [cat mouse dog flea], list2 = [red orange yellow];

    SWAP( hd(tl(tl(list1))) , hd(tl(tl(list2))) );

    list1, list2 =>
    ** [cat mouse yellow flea] [red orange dog]

To achieve that exchange, the use of SWAP produces the equivalent of the
following Pop-11:

    hd(tl(tl(list1))), hd(tl(tl(list2)))
        -> ( hd(tl(tl(list2))), hd(tl(tl(list1))) );

I.e. tl(tl(list1)) is computed twice, and tl(tl(list2)) is computed
twice, once before and once after the assignment arrow. It would have
been more efficient to store their values in two variables, temp1, and
temp2, and then produced code to do:

    hd(temp1), hd(temp2) -> ( hd(temp2), hd(temp1) );

Note, however that it would not do to replace the above with these two

    hd(tl(tl(list1))) -> temp1; hd(tl(tl(list2))) -> temp2;

    temp1, temp2 -> (temp2, temp1);

Why not? In order to answer that question, the reader needs a deep
understanding of how expressions are evaluated, how complex structures
are referred to, and what the relationship is between a variable and its

If you try all the above you will see that all it does is assign two
values to temp1 and temp2 and then swap their values, without altering
the contents the lists, list1 and list2. For that it is essential to run
the updater of the procedure hd, which is done by the expression after
the assignment arrow here:

    hd(temp1), hd(temp2) -> ( hd(temp2), hd(temp1) );

-- -- Syntax procedures

Syntax procedures provide even more powerful facilities for extending
the syntax of Pop-11.

Unlike macros they do not take arguments. Like macros, they too are
executed at compile time. System syntax words, such as "if", "define",
"until", "for", etc. correspond to syntax procedures: they typically
read in some or all of a Pop-11 expression and tell the compiler how to
understand it.

There are other syntax words that do nothing except flag the end of a
complex syntactic construction. Examples are ")", "endif", "enddefine"
and other closing brackets. Some syntax words, like "then", "do",
"elseif" are used to indicate intermediate expression boundaries in
complex expressions, as in

    if <condition> then <action> elseif <condition> then <action> endif

The difference between syntax words and macros is quite subtle. Both
macros and syntax words read items in from the program input text stream
called "proglist", a dynamic list, defined in REF PROGLIST. A macro will
rearrange text items, put them back on the front of proglist, then let
the compiler continue.

A syntax word will typically invoke a procedure that reads in items from
proglist, and then gives instructions to the compiler to create machine
code corresponding to the text read in. Strictly speaking, the syntax
procedure "plants code" for the Poplog virtual machine PVM (described
briefly in Chapter 2) rather than the physical machine on which Pop-11
is running. The virtual machine instructions are then translated to real
machine code by a VM compiler.

This means that a MACRO definition can extend Pop-11 syntax only by
introducing new constructs that translate into existing legal Pop-11,
whereas a SYNTAX word can introduce any syntactic extension that is
capable of being translated into PVM instructions. Since the Poplog
virtual machine is extremely general, syntax words can extend Pop-11 in
enormously varied ways. (For example, this is how languages like ML and
Prolog are defined in Pop-11, languages which could not be translated
into Pop-11).

This is both a strength of the language, and a problem: it means on the
one hand that extensions relevant to particular applications are
relatively easily produced, in order to make programs easier to develop
and maintain. But it also means that the ways in which Pop-11 programs
can vary syntactically are so great that it is difficult to produce
tools for manipulating them automatically, e.g. cross reference tools,
program validation tools etc. However, to some extent the power of the
language is such that users can provide their own tools to suit their
own extensions.

-- -- Example: defining a syntax word: loop

If we did not already have the construct "repeat <actions> endrepeat"
we could define a new syntax format "loop <actions> endloop", as

    ;;; first define the closing bracket to be a syntax word
    global constant syntax endloop;

    ;;; Now define the main syntax word

    define syntax loop;
        ;;; First define labels for the beginnings and ends of the loop.
        ;;; We need the end label for use with "quitloop"

        lvars Lab, Endlab;
        sysNEW_LABEL() -> Lab;      pop11_loop_start(Lab);
        sysNEW_LABEL() -> Endlab;   pop11_loop_end(Endlab);

        ;;; Plant the first label
        ;;; read and compile up to "endloop"
        pop11_comp_stmnt_seq_to([endloop]) ->;
        ;;; Now code to jump back to the beginning of the loop
        ;;; Now plant the send label, for clean exits from the loop

    ;;; test it.

    vars x = 3;
        x =>
        x - 1 -> x;
        if x < 0 then quitloop() endif;
    ** 3
    ** 2
    ** 1
    ** 0

More detailed information is provided in the online files: HELP SYNTAX

We now give examples of some of the more commonly used forms of syntax.


This chapter outlines the facilities for manipulating numbers of various
sorts in Pop-11. More details can be found in HELP MATH, REF NUMBERS
REF ITEMISE details the conventions for typing in representations
of numbers in Pop-11 programs, which are also summarised below.

Pop-11 provides a standard collection of mathematical facilities,
including powerful tools for doing very high precision calculations
using "bigintegers" or "ratios". These are not provided in many
programming languages, partly because they lead to complex store
management problems. These problems are solved by the use of an
automatic garbage collector in Pop-11. The same is true of modern lisp
systems and some other languages, e.g. ML and some implementations of
Prolog. (All the Poplog languages share these facilities.)

-- Mathematical knowledge presupposed

It is assumed in what follows that the reader knows enough mathematics
to understand the distinction between

1. The integers:

        0, 1, -1, 2, -2, 3, -3, etc.

2. The ratios (with numerators and denominators):

        1/2, -1/2, 1/3, -1/3, 2/3, -2/3, 3/4 etc.

3. Floating point numbers:

        0.135, 1.35, 13.5 -0.135, -1.35, etc.

4. Complex numbers with real and imaginary parts, such as the square
root of -1.

It is also assumed that readers know that floating point numbers can be
represented as mantissa and exponent, and will therefore understand
what is printed out by the following, where each number in the first row
is represented as <mantissa>e<exponent>:

    1.234e4, 1.234e3, 1.234e2, 1.234e1, 1.234e0, 1.234e-1, 1.234e-2 =>
 ** 12340.0  1234.0   123.4    12.34    1.234    0.1234    0.01234

(Extra spaces have been inserted in the printout, to simplify

Readers who do not know all about these topics may nevertheless be able
to pick up the information from the explanations given below.
Alternatively they can omit sections on unfamiliar kinds of numbers,
e.g. complex numbers.

Note: in Pop-11 complex numbers have real and imaginary parts that
themselves can be integral (i.e. positive or negative integers) or
ratios, or floating point numbers, or any combination of these.

-- The machine representation of numbers in Poplog --------------------

In Poplog there is a major division between two kinds of data items:
simple items, and compound items. Simple items are directly represented
in the machine as bit patterns. Compound items are represented
indirectly as bit patterns that are pointers, or addresses, of data
structures that contain the actual information.

The simple items can all be completely represented in a single "machine
word", which is normally 32 bits, but may be larger on some machine
architectures.  Compound items are larger structures, and each includes
information about what TYPE of item it is, so that run time checks can
be made. (See also Chapter 2 and REF DATA). This type information is
represented by another pointer, to a KEY for the type of data in

-- -- Simple items in Pop-11: integers and decimals

There are only two sorts of simple items in Poplog, integers and
decimals. Both are represented within a single machine word. However not
all the bits of the word can be used for this purpose, as two bits in
every word are reserved for specifying whether the item is a compound
item, an integer, or a decimal. In a 32 bit machine that leaves 30 bits
for the integer or decimal, of which 1 will be for the sign.

This "direct" representation by bit patterns means that operations on
integers or decimals do not create new Poplog datastructures, since they
merely involve operations on bit patterns in machine registers.

-- -- Compound items in Pop-11

By contrast, operations that create compound items, such as bigintegers,
ddecimals, ratios and complexes will require additional records to be
allocated in the storage "heap", and their use can therefore trigger
garbage collections every now and again. (For more information see HELP

Besides the numerical compound items just mentioned, all other Pop-11
data types besides integers and decimals are compound items, including
lists, words, strings, procedures, properties, arrays, etc.

-- -- Fixed precision and indefinite precision arithmetic

Another distinction that is important is between those items that have
fixed size in memory and those that can be as big as needed. Integers,
decimals, ddecimals, and complexes composed only of integers, decimals
and ddecimals all have fixed sizes. So typically a ddecimal will occupy
three words, one for the key which identifies the object as a ddecimal,
and two for the actual number.

By contrast bigintegers and ratios, and complexes composed of
bigintegers and ratios provide "infinite" precision arithmetic and can
take up as much store as is available. So the only limit to the size of
a biginteger is the (virtual) memory available in the machine. To
illustrate this try the following:

    define factorial(n);
        if n == 0 then 1
        else n * factorial(n - 1)

    factorial(3) =>
    ** 6
    factorial(30) =>
    ** 265252859812191058636308480000000

    factorial(100) =>
    ** 933262154439441526816992388562667004907159682643816214685929638

    factorial(1000) =>

The number printed out by the last example will take about 37 lines
(depending on your screen's width).

Similarly ratios can represent small numbers very accurately, e.g.

    237/factorial(37) =>
    ** 79_/4587917697075448348771993193860300800000000

    1/(2**150 - 1) =>
    ** 1_/1427247692705959881058285969449495136382746623

-- -- Packed integer or decimal numbers

Pop-11 provides facilities for creating records and vectors that include
numbers represented compactly as bit patterns. Examples are

    (described in HELP BITVECTORS,)

    (which contain packed 8 bit integers, described in REF STRINGS)

    (which contain packed 16 bit integers, described in REF INTVEC)

    (which contain packed 32 bit integers, described REF INTVEC)

NOTE: The numbers of bits per field in shortvecs and intvecs is
implementation dependent.

Using the "defclass" syntax construct users can define new record types
and vector types containing packed integers of various field sizes.

Because Pop-11 can tell the types of all these integers from their
occupancy of fields of particular types, it does not need to use 2 bits
per integer to recognise them. However, extraction or insertion of these
field values, e.g. assigning to or from a variable, necessitates
conversion to and from the standard Poplog representation. This is
performed automatically by the corresponding record or vector access and
update procedures.

It is also possible to have vectors or records with packed floating
point numbers, and similar remarks apply to them.

-- Types of numbers in Pop-11 -----------------------------------------

We can now list the kinds of numbers that can be created and manipulated
in Pop-11, namely integers, bigintegers, decimals, ddecimals, ratios and
complexes. Examples of each follow, preceded by the corresponding
"dataword", and an indication of whether they are simple or compound.

-- -- decimals and ddecimals

Decimals are single-precision floating point numbers, whereas ddecimals
are double-precision floating point numbers. They can be typed in
directly or produced as the result of applying procedures.

    DATAWORD            EXAMPLES

    decimal (simple):
            Input:  66.0s0  2.54s3  2.54s-3  sqrt(4)
            Output: 66.0    2540.0  0.00254  2.0

    ddecimal (compound):
            66.0  -33.0  77.35  9999.532  -6666.0
            66e0  2.54e5  2.54d3 2.54d-3

The symbols "e", "s" and "d" are used in a representation of floating
point numbers consisting of mantissa and exponent. The symbol is
preceded by the mantissa and followed by the exponent. So 2.54e5 is the
same as 2.54*(10 ** 5), where ** is the "raise to the power" operator.

The notation using "s" followed by an exponent is required to force a
number typed in to be a single precision decimal. This is because the
"constant" decimal numbers typed in are interpreted  by the Pop-11
itemiser as double precision decimals, i.e. ddecimals. So, 66.0 will be
read in as a ddecimal, as will 66.0e0, 66.0d0, whereas 66.0s0 will be a
ddecimal, with the same numerical value.

    dataword(3.5s0) =>
    ** decimal

    dataword(3.5d0) =>
    ** ddecimal

    dataword(3.5e0) =>
    ** ddecimal

Whether floating point results of arithmetical computations are single
or double precision is controlled by the global variable popdprecision.
If it is false (which is the default value) then the results are
decimals. If it is true, then as long as at least one ddecimal or non
decimal number is involved initially, floating point computations will
produce double-precision ddecimal results. This is described more fully

-- -- Integers, bigintegers, ratios and complex numbers

    DATAWORD            EXAMPLES
    integer (simple):
            66  -33  99999 -12348888

    biginteger (compound):
            12345678900980980911   2**40   -99999999999999999999999

    ratio (compound):
            3_/4  12345_/54321 -33_/44

    complex (compound):
            sqrt(-1)  33_+:44   55.3_-:22.5   3_/4_+:5_/8

    The third example is a complex number with floating point (ddecimal)
    real and imaginary parts (55.3 and -22.5, respectively). The last
    example is a complex number with ratios as its real and imaginary
    parts (3/4 and 5/8 respectively).

-- Forming numerical expressions --------------------------------------

Any of the above forms of numerical expression can be used where Pop-11
requires an expression, e.g. to assign values to variables, or to give
arguments to procedures requiring numerical arguments. Mathematical
procedures provided by Pop-11 are listed below, including the standard
arithmetical operators (+, -, *, /), trigonometrical functions (sin,
cos, tan) and others.

Starting from expressions denoting numbers we can create more
complicated expressions denoting numbers. E.g.

    33 + 44     denotes the number 7

    sqrt(9)     denotes the number 3.0

    max(4, 77)  denotes the number 77.

Arithmetic expressions can be embedded in others. For example
the expression

        tan(23 + 22)

contains sub-expressions 23, 22, and 23 + 22.


    max(min(66, 33), min(999, 9))

denotes the number  33, as does this:

    max( min(66-5, 33), min(999, 9+9) ) =>
    ** 33

    How many different expressions does the last example contain?

-- -- Using a radix other than 10 to represent numbers on input

Pop-11 will read in binary numbers if they are preceded by '2:'

    2:111 =>
    ** 7

Similarly octal numbers may be preceded by '8:'

    8:111 =>
    ** 73

This sort of prefix can be used for non-integer numbers too:

    8:11.11 =>
    ** 9.140625

    10:55.55 =>
    ** 55.55

The integer base used for reading in non-decimal numbers must be in the
range 2-36. If the base is greater than 10, the letters A-Z (uppercase
only) can be used in the number to represent digit values from 10 to 35,
e.g. 16:1FFA represents 8186 as a hexadecimal number.

Note: the same internal representation is used, no matter how the number
is read in. So how the number prints out is not affected. E.g.

    2:111, 7 =>
    ** 7   7

    2:111 == 7 =>
    ** <true>

-- -- Using pop_pr_radix to control radix used in printing

How numbers are printed is controlled using pop_pr_radix, which defaults
to 10. By making it 16 numbers can be printed in hexadecimal, for

    16 -> pop_pr_radix;
    16 =>
    ** 10
    15 =>
    ** F

You can define a procedure to print numbers in binary form thus:

    define pr_binary(num);
        dlocal pop_pr_radix = 2;

    vars x;
    for x from 1 to 15 do pr_binary(x); pr(space) endfor;
    1 10 11 100 101 110 111 1000 1001 1010 1011 1100 1101 1110 1111

-- . pop_pr_radix, pop_pr_places and pop_pr_exponent

The printing of decimal (floating point) numbers is also controlled
by pop_pr_radix.

    16 -> pop_pr_radix;
    15.55 =>
    ** F.8CCCCD



The number of decimal places shown is controlled by pop_pr_places,
which defaults to 6.

    10 -> pop_pr_radix;
    sqrt(2) =>
    ** 1.41421

    2 -> pop_pr_places;
    sqrt(2) =>
    ** 1.41

    6 -> pop_pr_places;
    sqrt(2) =>
    ** 1.41421

A value of 0 causes decimal numbers to be printed as integers.

If pop_pr_exponent is made true (it defaults to false) then exponent
form is used for printing decimals and ddecimals:

    true -> pop_pr_exponent;
    sqrt(20000) =>
    ** 1.41421e+2
    false -> pop_pr_exponent;
    sqrt(20000) =>
    ** 141.421

As explained above, the exponent notation can also be used for reading
in decimals:

    1.41421e+2 =>
    ** 141.421

-- Additional facilities for printing numbers

    This takes any non-complex number NUM and prints it in the form
    INT_PLACES is an integer specifying the number of character
    positions that <pre> should occupy, including leading spaces, and
    minus sign, if NUM is negative. FRAC_PLACES specifies the number of
    positions the <post> part should occupy, excluding the ".", and
    including trailing zeros if necessary. E.g.

    pr("|"); prnum(-3.52, 4, 5);pr("|");
    |  -3.5200|

radix_apply(ITEM_1, ITEM_2..., ITEM_N, P, RADIX)
    Runs the procedure P, which should take N arguments, ITEM_1 to
    ITEM_N, in an environment in which pop_pr_radix has the integer
    value RADIX. So any printing done by P uses that value of
    pop_pr_radix. E.g.


More sophisticated general purpose printing procedures are defined in
REF PRINT, including:

    printf, nprintf, pr_field, format_print

-- Maximum and minimum integer sizes: pop_max_int, pop_min_int

(Almost) all the arithmetic operators in Poplog can be applied to all
the different kinds of numbers and will produce appropriate kinds of
results. So for example if you add or multiply integers together you'll
get integers until the result is too large to fit into the maximum space
allowed for integers, and in that case the result will be a biginteger.
Where the transition occurs will depend on the word size of your
machine. The relevant information can be obtained by loading the

    lib int_parameters

This makes available two variables: pop_max_int, which is the largest
(i.e. most positive) integer value and pop_min_int, which is the
smallest (i.e. most negative) integer value. On a typical 32 bit machine
these give:

    pop_max_int, pop_min_int =>
    ** 536870911 -536870912

So any integer operation producing a number bigger than the first or
smaller (more negative) than the second will produce a biginteger, not
an integer.

    isinteger(pop_min_int) =>
    ** <true>
    isinteger(pop_min_int - 1) =>
    ** <false>
    isbiginteger(pop_min_int - 1) =>
    ** <true>

-- The representation of floating point numbers: lib float_parameters

In order to obtain information about decimals and ddecimals in your
version of Pop-11 use the following library

    lib float_parameters

This provides the following implementation dependent constants, all of
which are explained fully in REF NUMBERS:



Additional information about the representation of individual floating
point numbers can be obtained using facilities defined below.

-- Basic arithmetical facilities --------------------------------------

There are several procedures for manipulating numbers of all types. The
most commonly used ones are represented by 'infix' identifiers. That is
they can be used to create expressions without using parentheses, e.g.

    3 + 5,  77 * 9,

although it is legal to write +(3, 5) or *(77, 9) instead if you prefer.

The operations listed below are available for constructing arithmetic
expressions. They all take numbers of every variety in all combinations.
I.e. they are "overloaded" or "polymorphic" operators. (The exception is
"mod" which cannot be applied to complex numbers.)

When the result is a floating point number, whether it is represented as
a decimal (single precision) or ddecimal (double precision) will depend
on whether the global variable popdprecision is false or not, as
explained below.

In general the rules in Pop-11 for deciding on the type of result to be
produced by a mathematical procedure conform to standard mathematical
expectations. For example, a decimal divided by an integer will give a
decimal, unless popdprecision is true, in which case it will give a
ddecimal.  Division of one integer by another may produce a surprise
in the form of a ratio, as described below.

-- Arithmetical operators ---------------------------------------------

    +       5       add two numbers
    -       5       subtract two numbers, or negate one number.
        (The syntactic context is used to determine whether this is
         a binary subtraction operator or a unary negation operator)
    *       4       multiply two numbers
    **      3       exponentiation:
                        e.g. A ** 3 means A*A*A i.e. A cubed.
    /       4       divide first number by second (See note below)
    //      4       divide first number by second, produce
                        remainder and quotient.

 X div Y    2       returns the number of times Y goes into X
 X rem Y    2       returns the remainder on dividing X by Y.
 X mod Y    2       returns the remainder on dividing X by Y.
        mod, unlike rem, requires both numbers to be real, i.e.
        non-complex. It always returns a result with the same sign as Y

-- . Examples of arithmetical expressions

Here are some expressions formed using arithmetic operators:

    3 + 5 * 2 =>
    ** 13

    (3 + 5) * 2 =>
    ** 16

The expression:

    (X + Y) * (99 - Z/3)

has many sub-expressions, e.g. X, Y, 99, Z, 3, X + Y, Z/3, etc.

Notice how parentheses can affect the order in which operations are

-- . Illustrating the use of // (which produces two results)

The operator // is unusual in that it produces two results. It takes two
integers, and produces two integers, a remainder and a divisor, as in:

    10 // 3 =>
    ** 1 3

    23 // 10 =>
    ** 3 2

Thus one can do things like

    vars remainder, quotient;  223 // 10 -> (remainder, quotient);
    remainder, quotient =>
    ** 3 22

or, combining the declaration with a multiple initialisation:

    vars (remainder, quotient) = 223 // 10;

To illustrate the use of // on different kinds of numbers:

Dividing integers

    10 // 3 =>
    ** 1 3
    10 // -3 =>
    ** 1 -3
    -10 // 3 =>
    ** -1 -3
    -10 // -3 =>
    ** -1 3

Dividing decimals (or ddecimals)
    10.5 // -3.2 =>
    ** 0.9 -3

Dividing ratios
    (7/3) // (11/23) =>
    ** 29_/69 4

Dividing complexes
    (33 + sqrt(-57)) // sqrt(-5) =>
    ** 1.69505_+:0.841633 3_-:14

-- -- Binary and unary negation

Most of the above are 'binary' operations. That is, they require TWO
arguments. For example the expression

    3 + 4

applies the operation + to the two arguments 3 and 4. It denotes the
number 7. The arguments may themselves be complex expressions, e.g.

    (3 + 4) + (5 + 6)

The operation - can be binary (two arguments) or unary (one argument),
and Pop-11 works out from the context which it is. When it is unary, as

    - 4


    - (3 + 5)

it produces a number by NEGATING its argument.

When it is a binary operator, as in

    3 - 4


    (2 + 1) - (2 + 2)

it subtracts the second argument from the first. So the latter denotes
the number -1.

Roughly, the rule is that if "-" occurs as part of an expression in
which it is immediately preceded by an expression, and not a comma,
semicolon, or opening bracket of any kind, then it is treated as binary
and represents a subtraction. Otherwise it is unary and represents a
negation (change of sign).

The following are all binary (i.e. subtractions)

    x - y,    (33 * x) - sqrt(y),   x + y - z,  x * y - z - 1

The following are all unary (i.e. negation)

    -3 + 5,   sqrt(- 22),  if x > 0 then -x else x endif

One consequence of this is that although the other arithmetical
operators can be used as normal functions, e.g.

    +(3, 5),  *(9, 10) =>
    ** 8 90

The minus symbol will normally be interpreted as a unary negation symbol
in this sort of context, producing an unexpected result, e.g.

    -(6, 3) =>
    ** 6 -3

which is equivalent to

    6, -3 =>


    6, 3, - =>
    ** 6 -3

However, according to the rule given, the following will work as a
binary negation, which may also be surprising:

    6, 3 - =>
    ** 3

When unary negate is required, this can be specified unambiguously by
invoking the procedure negate, e.g.

    3 + negate(4) * 5 =>

Compared with

    3 + -4 * 5 =>

Similarly, because "nonop -" is always taken to refer to the subtraction
procedure, the name "negate" must be used when unary minus is to be
given as argument to a procedure, e.g.

    maplist([ 1 2 3 4 5 6], negate) =>
    ** [-1 -2 -3 -4 -5 -6]

Compare using the subtraction operator concatenated with the sqrt

    define sqrt_sub = nonop - <> sqrt enddefine;

    sqrt_sub(8, 4) =>
    ** 2.0

Or the subtraction operator partially applied to 3:

    define sub_3 = nonop - (% 3 %) enddefine;

    sub_3(66) =>
    ** 63

    sub_3(5.4) =>
    ** 2.4

-- -- WARNING: division of integers using "/" can produce ratios

The division operator "/" when given two integers (or bigintegers) will
will not produce a decimal or ddecimal as result, but an integer (or
biginteger) or ratio. Thus

    10/5 =>
    ** 2

    10/6 =>
    ** 5_/3

The reason for printing out ratios in this way, i.e. with the numerator
and denominator joined by "_/" is that this will allow them to be read
in again as ratios without violating Pop-11's syntactic rules for
lexical items, mentioned briefly in chapter 1, and described fully in

This sort of result of integer division can cause confusion if you are
used to a language which in which non-integer results of division are
automatically converted (i.e. coerced) to decimals (reals, floats). This
means that if you require such conversion you should ensure that one of
the arguments to "/" is a decimal. e.g.

    10/6.0 =>
    ** 1.66667


    10.0/6 =>
    ** 1.66667

-- Infix predicates on numbers ----------------------------------------

Besides arithmetical operations that take numbers as arguments and
produce numbers as results, Pop-11 includes various predicates for
testing properties of numbers, or relations between numbers. These
predicates all have boolean (i.e. true or false) results. The most
widely used infix predicates are:

    >       6       test two numbers: TRUE if first greater than second.
    <       6       test two numbers: TRUE if first less than second.
    >=      6       test two numbers: TRUE if first greater than or
                    equal to second.
    <=      6       test two numbers: TRUE if first less than or equal
                    to second.

    ==      7       Exact identity (i.e. the very same object in the
    =       7       Equality: i.e. the same type of object with
                    equivalent contents.
    /==     7       Not identical
    /=      7       Not equal
    ==#     7       Same type of number and same numeric value.
                    (E.g. 8 = 8.0 is TRUE 8 ==# 8.0 false)

The rules for "=" and "/=" when the two arguments are of different types
are quite complicated. If X and Y are of different types and are
integers, bigintegers or ratios then they cannot be either "=" or "==".
If floating point numbers (decimals and ddecimals) are compared with
integers, bigintegers or ratios then they are first converted to
ddecimals and then compared. Further details are given in HELP EQUAL and

What sort of thing is denoted by an arithmetical expression depends on
the "top level" operator. E.g. consider:

    99 > (X + Y)

This takes the expression '99' and the expression '(X + Y)' each of
which may denote a number, and creates a new expression which denotes
true or false, depending on whether the first number is greater than or
less than the other. I.e. > is a binary operator, taking two numbers and
producing a TRUTH-VALUE, i.e. a BOOLEAN as a result. So

    99 > 66        denotes TRUE
    66 > 99        denotes FALSE

-- Recognizer predicates for number types -----------------------------

There are recogniser procedures which can be applied to any object and
will always return a boolean (true or false) result.

        Returns <true> if ITEM is a simple integer, <false> otherwise.

        Returns <true> if ITEM is a biginteger, <false> otherwise.

        Returns <true>  if ITEM  is a  simple integer  or a  biginteger,
        <false> otherwise.

        Returns <true> if ITEM is a ratio, <false> otherwise.

        Returns <true> if ITEM  is a simple  integer, a biginteger  or a
        ratio, and <false> otherwise.

        Returns <true>  if ITEM  is  a decimal  or a  ddecimal,  <false>

        Returns <true>  if  ITEM is  a  single length  decimal,  <false>

        Returns <true> if ITEM is a ddecimal, <false> otherwise.

        Returns <true> if ITEM is  any number except a complex,  <false>

        Returns <true> if ITEM is a complex number, <false> otherwise.

        Returns <true> if ITEM is any kind of number, <false> otherwise.

-- Coercing numbers from one type to another --------------------------

number_coerce(NUM1, TO_NUM) -> NUM2
        Produces a number NUM2 which is the number NUM1 converted to the
        representation class  (i.e.  rational, single-float  decimal  or
        double-float ddecimal) of the number TO_NUM.

    number_coerce(3.5, 1) =>
    ** 7_/2

    number_coerce(3.5, 1_/2) =>
    ** 7_/2

    number_coerce(1_/2, 3.5) =>
    ** 0.5

-- Other arithmetic procedures ----------------------------------------

Other arithmetic procedures available in Pop-11 include the following,
most of which can be applied to numbers of all types.

    abs(x)      absolute value (modulus) of x
    exp(x)      exponential of x (e to the power x)
    max(x,y)    the bigger of two numbers
    min(x,y)    the smaller of two numbers
    sign(x)     -1 if x is negative, + 1 if positive, 0 if x = 0, or 0.0
    random(x)   a random integer in range 1 to x
    round(x)    the integer nearest to x, unless x is complex in which
                case the result is a complex number with real part and
                imaginary parts both rounded.
    arccos(x)   trigonometric arc cosine of angle
    arcsin(x)   trigonometric arc sine of angle
    arctan(x)   trigonometric arc tangent of angle
    cos(x)      trigonometric cosine of angle
    log(x)      natural logarithm of a number - inverse of exp
    log10(num)  returns the base 10 logarithm of num
    negate(x)   negation of the number (i.e. -x)
    sin(x)      trigonometric sine of angle
    sqrt(x)     square root of number
    tan(x)      trigonometric tangent of angle

The trigonometric procedures use degrees, unless the variable popradians
is set TRUE. The default is FALSE (i.e. use degrees.) (This is one of a
large collection of user definable global variables controlling the
behaviour of Pop-11. See HELP POPVARS).

-- Illustrating popradians ----------------------------------------

The variable popradians controls whether the trigonometric procedures
take arguments, or produce results in degrees or radians. We can use the
fact that "pi" is a built in constant thus:

    true -> popradians;
    sin(90) =>
    ** 0.893997

    sin(pi/2) =>
    ** 1.0

    arcsin(1) =>
    ** 1.5708

    false -> popradians;
    sin(90) =>
    ** 1.0

    sin(pi/2) =>
    ** 0.027412

    arcsin(1) =>
    ** 90.0

-- Other global variables controlling arithmetical computations -------

-- -- popdprecision

The value of this variable controls the production of results from
floating-point computations, in combination with the types of the
arguments supplied to the relevant procedure. If it is false then only
decimals (single precision floats) are produced. If it is the word
"ddecimal" then ddecimal results are produced by arithmetic operators
only if at least one of the arguments is ddecimal. If the value is
anything else (e.g. true), then a ddecimal result can be forced if at
least one of the arguments is integral or rational, even if the others
are all decimals.

In NO case is there an increase in precision of floating point
computations if all arguments are single-float decimal to start
with. The default value of popdprecision is false.


Case 1: Only single precision results

    false -> popdprecision;

    dataword(sqrt(3.5d0)) =>
    ** decimal

    dataword(sqrt(3.5s0)) =>
    ** decimal

    dataword(3.5d0 + 3.5s0) =>
    ** decimal

    dataword(sqrt(2)) =>
    ** decimal

Case 2: Double precision whenever a ddecimal is involved initially

    "ddecimal"-> popdprecision;

    dataword(sqrt(3.5d0)) =>
    ** ddecimal

    dataword(sqrt(3.5s0)) =>
    ** decimal

    dataword(3.5d0 + 3.5s0) =>
    ** ddecimal

    dataword(sqrt(2)) =>
    ** decimal

Case 3: Double precision produced if either ddecimal or non-decimal
    number is involved initially.

    true -> popdprecision

    dataword(sqrt(3.5d0)) =>
    ** ddecimal

    dataword(sqrt(3.5s0)) =>
    ** decimal

    dataword(3.5d0 + 3.5s0) =>
    ** ddecimal

    dataword(sqrt(2)) =>
    ** ddecimal

This means that if popdprecision is non false, then the evaluation of
arithmetical expressions in which intermediate floating point numbers
are produced will sometimes create temporary ddecimal numbers that are
then discarded. As these are compound items (explained above) this can
cause garbage collections, leading to reduced speed, the price of
greater accuracy.

-- -- pop_reduce_ratios

This is normally true. Making it false prevents Pop-11's normal
behaviour in which a ratio result is always reduced to its lowest common
terms (and therefore to an integral result if the denominator becomes

-- Miscellaneous operations on integers, ratios, floats

-- -- checkinteger,  gcd_n,  lcm_n

checkinteger(ITEM, LOW_INT, HI_INT)

Checks ITEM to be an integer within the range specified by lower bound
LOW_INT and upper bound HI_INT (inclusive). Either or both bounds may be
<false> to indicate no upper or lower limit. If all conditions are
satisfied the procedure returns with no action, otherwise a mishap

gcd_n(INT1, INT2, ..., INT_N, N) -> GCD

Computes the greatest common divisor of the all the N integers INT1,
INT2, ..., INT_N, where the number N itself (a simple integer >= 0)
appears as the rightmost argument. If N = 0, then GCD = 0; if N = 1,
then GCD = INT1.

lcm_n(INT1, INT2, ..., INT_N, N) -> LCM

Computes the least common multiple of the all the N integers INT1, INT2,
..., INT_N, where the number N itself (a simple integer >= 0) appears as
the rightmost argument. If N = 0, then LCM = 1; if N = 1, then LCM =

-- -- destratio, numerator, denominator

numerator(RAT)   -> NUMERATOR
denominator(RAT) -> DENOMINATOR
    These procedures return (on the stack) the numerator and denominator
    parts of a rational number, either together (-destratio-), or
    separately (-numerator- and -denominator-). When RAT is an integer
    or biginteger, then NUMERATOR = RAT, and DENOMINATOR = 1.

-- -- Operations on floats (decimals and ddecimals)

-- -- intof, fracof, float_digits, float_precision

fracof(x)   fractional part of a decimal number
intof(x)    integer part of a decimal number, positive or negative

    intof(-123.456), fracof(-123.456) =>
    ** -123 -0.456

float_digits(FLOAT) -> DIGITS
    Returns an integer, the number of digits represented in the internal
    (usually binary) floating-point format of the argument. (I.e. DIGITS
    has only two possible values, one for decimals and one for
    ddecimals. In all current Poplog implementations, b = 2 and DIGITS
    is around 22 for decimals, 53-56 for ddecimals.) On a Sparcstation:

    float_digits(1.0e0), float_digits(1.0s0) =>
    ** 53 22

float_precision(FLOAT) -> SIGDIGITS
    Same as -float_digits-, except that the number of significant bits
    in the argument is returned. This will in fact be identical to
    float_digits(FLOAT), except that float_precision(0.0) = 0

-- -- float_decode, float_scale, float_sign

    This procedure takes a floating-point number and splits it into its
    component parts, i.e. mantissa, exponent and sign. For full (gory)
    details see REF NUMBERS

float_scale(FLOAT1, INT_EXPO) -> FLOAT2
    This is equivalent to
        FLOAT1 * 2**INT_EXPO
    but is more efficient and avoids any intermediate overflow or
    underflow. If the final result overflows or underflows (i.e. the
    absolute value of the exponent is too large for the representation),
    then <false> is returned. This procedure can be used in conjunction
    with -float_sign- to put back together a floating-point number
    decomposed with -float_decode-. That is, after

float_sign(FLOAT_SIGN, FLOAT1) -> FLOAT2
    Returns a floating-point number FLOAT2 of the same type and absolute
    value as FLOAT1, but which has the sign of the float FLOAT_SIGN. If
    FLOAT1 is false> then FLOAT2 is returned as a 1.0 or -1.0 of the
    same type and sign as FLOAT_SIGN.

For more details see REF NUMBERS

-- Complex Specific Operations ----------------------------------------

NUM1  +:  NUM2  ->  NUM3
NUM1  -:  NUM2  ->  NUM3
    These two operators are the basic way of creating complex numbers.
    Effectively, they both multiply their second argument by "i" (the
    positive square root of -1), and then either add the result to (+:)
    or subtract the result from (-:) the first argument.

+: NUM1  ->  NUM2
-: NUM1  ->  NUM2
    As prefix operators, +: and -: are equivalent to unary_+:(NUM1) and
    unary_-:(NUM1) respectively.

unary_+:(NUM1)  ->  NUM2
unary_-:(NUM1)  ->  NUM2
    Single-argument versions of +: and -:, which multiply their argument
    by i and -i respectively.

conjugate(NUM1) -> NUM2
    Returns the complex conjugate of its argument. The conjugate of a
    real number is itself, while for a complex number it is

        realpart(NUM1) -: imagpart(NUM1)

destcomplex(NUM) -> (REALPART, IMAGPART)
realpart(NUM)    -> REALPART
imagpart(NUM)    -> IMAGPART
    These procedures return the real and imaginary parts of a complex
    number, either together (-destcomplex-), or separately (-realpart-
    and -imagpart-). When NUM is real, then REALPART = NUM, and a zero
    of the same type as NUM is returned for IMAGPART.

-- random and oneof ---------------------------------------------------

Pop-11 provides a useful (but relatively sophisticated) pseudo-random
number generator, controlled by an integer variable ranseed whose value
is changed whenever the generator is called. By re-setting ranseed to
the same initial value (e.g. 0) one can sure that the same sequence of
"random" numbers will be generated every time. If false is assigned to
ranseed then an unpredictable integer value depending on the exact time
of day will be assigned to it when the next random number is generated.

random0(NUM) -> RANDOM

Given a non-zero positive integer or floating-point number, this
procedure generates a random number of the same type, in the range:

       0 <= RANDOM < NUM

where the distribution of RANDOM will be approximately uniform.

random(NUM) -> RANDOM

Same as -random0-, except that whenever the latter would return 0 or
0.0, the original argument NUM is returned instead. It can thus
be defined as

    random0(NUM) -> RANDOM;
    if RANDOM = 0 then NUM else RANDOM endif;

Hence the range of the result is

    0 < RANDOM <= NUM

for a float, or

    1 <= RANDOM <= NUM

for an integer.


    repeat 10 times random(5) endrepeat =>
    ** 3 5 2 1 2 1 2 4 3 3

    2 -> pop_pr_places;
    repeat 10 times random(5.0) endrepeat =>
    ** 0.49 4.3 1.48 3.65 0.52 4.25 2.49 0.14 2.37 3.47

A closely related procedure is oneof, which takes a list and returns
a randomly chosen element.

    repeat 10 times oneof([1 2 3 4 5]) endrepeat =>
    ** 5 4 5 5 4 2 4 5 3 3

-- Additional mathematical functions ----------------------------------

Less common mathematical functions defined in REF NUMBERS include:

    Returns the complex phase angle of NUM as a floating-point

    Returns the float-complex number cos(REALANGLE) +: sin(REALANGLE)

    Computes the arctangent of REAL_Y / REAL_X, but using the signs of
    the two numbers to derive quadrant information.

    These procedures compute the hyperbolic sine, hyperbolic cosine and
    hyperbolic tangent of ANGLE. The result is a floating-point, or a
    float-complex if ANGLE is complex.

    These procedures compute the hyperbolic arcsine, hyperbolic
    arccosine and hyperbolic arctangent of NUM. For NUM complex, the
    result is a float-complex. For NUM real, the result will be a real
    float, except in the following cases:

        arccosh:    NUM < 1
        arctanh:    abs(NUM) > 1

    For -arctanh-, it is an error if NUM = 1 or -1.

linearfit(LIST) -> (M,C)
    The library LIB LINEARFIT makes available the procedure linearfit,
    which takes a list of pairs of numbers representing co-ordinates of
    points, works out the best straight line through the points, and
    returns its slope M, and its Y-intercept C.

        linearfit([% conspair(0,0), conspair(1.01, 0.98),
            conspair(1.85, 2.005), conspair(3.0, 3.0) %]) =>
        ** 1.015095 0.009136

    For vertical or nearly vertical lines it will produce an error.

-- Exercises --------------------------------------------------

1. What are the data types of each of the following?

    'asdf;lkj876 *+*++ '
    [1 2 3 4]
    33 + sqrt(-5)

2. How would the data types of the preceding example change if
popdprecision had the value false, "ddecimal" or true ?

3. What do the following expressions denote?

    33 + 3
    3 + 4 * 5
    (3 + 4) * 5
    6 - 3.0

If you have access to a computer running Pop-11 you can test your answers
using '=>'. E.g.

    6 - 3.0 =>

4. What is the effect of the variable POPRADIANS?

5. What variable can be given the value 2 to make pop print numbers
    in binary notation?

6. What happens if that variable is given the value 1?

7. How can you make pop-11 print in hexadecimal form?

8. How would you represent the numbers 16, 21, 30, 35, 40

    (a) in binary form?
    (b) in hexadecimal form (i.e. 16:???????)?

9. Define a procedure which produces a random decimal between -1 and 1

10. Define a procedure which produces a random ratio between -10 and 10

-- Testing for equality and inequality --------------------------------

It is often necessary to use conditional imperatives, in order to
write flexible programs which do not always do the same thing. This
requires the ability to test certain conditions, to see if they are
true or false. An important class of such tests is testing for
equality or similarity.

    ==  test any two objects. TRUE if they are identical:
        i.e. not really two objects but one and the same.
        (Strict equality). In Lisp this is referred to as EQ.

    =   test any two objects. TRUE if they are identical,
        OR if they are of the same type with the same elements,
        i.e. if they are 'similar'. In Lisp this is referred to
        as EQUAL


    3 == 3      is TRUE because it's the same thing, the number 3
                that's referred to on both sides.
    3 == 5 - 2  is also TRUE for the same reason.

    [A B C] == [A B C]  is FALSE, since they are two lists
                Each time Pop-11 reads in '[ .... ]' it creates a
                new list, even if there was a similar one earlier.

    [A B C] = [A B C]  is TRUE, since they are two SIMILAR lists.

    'A STRING' == 'A STRING'    is FALSE, because there are two strings
    'A STRING' = 'A STRING'     is TRUE, because the two strings are

Thus it is possible to have two lists or strings with the same
components, but which are not the very same object, e.g. if you type
in the string 'silly' twice.

    'silly' == 'silly' =>
    ** <false>

If you type in the same number twice Pop-11 will not treat the two
expressions as denoting two different objects. So 999 will always
refer to the same number. Strings and lists are different.

Words have to be treated like numbers. Pop-11 has to know about
certain words, e.g. "define", "if", "(" and to be able to recognise
new occurrences of the very same word. So words are entered in a
dictionary when they are first read in, and if an expression
denoting a word with the same characters is read in later, then
instead of creating a new object Pop-11 finds the same word in its
dictionary and re-uses that.

Thus, words, unlike strings, are 'standardised' in a dictionary, so
that you cannot have two different words with the same characters. If
you attempt to type in a second one, Pop-11 will find the original in
its dictionary, and assume you wanted to refer to it. So both the
following are TRUE:

    "CAT" == "CAT" and  "CAT" = "CAT"

Writing two expressions on either side of an equality operation
produces a new expression, which denotes a truth-value, TRUE or
FALSE. In other words = and == each take two arguments and produce
one BOOLEAN result.

-- Bitwise (Logical) integer operators --------------------------------

Pop-11 provides a collection of operations for manipulating integers
considered as bit patterns. In order to see which bits are involved in
a positive integer, use the pr_binary procedure defined above, e.g.


The rightmost bit corresponds to bit 0, and if there are N+1 bits the
Nth bit is the leftmost one thus printed, except that negative numbers
conceptually have 1 bits extending indefinitely to the left of the sign
bit representation. In all the following definitions remember that the
lowest value for N is 0, not 1.

-- -- Bit accessing procedures for integers

testbit(INT, N) -> BOOL
    This procedure tests the bit at position N in the integer INT
    returning true for 1 and false for 0. It has an unusual updater,
    which also returns a result:

BOOL -> testbit(INT, N) -> NEWINT
    This clears or sets the N'th bit of INT to 1 if BOOL is true or 0 if
    false, and the returns NEWINT as the resulting integer.

integer_leastbit(INT) -> N
    Returns the bit position N of the least-significant bit set in the
    integer INT. E.g.
        integer_leastbit(4), integer_leastbit(5) =>
        ** 2 0

integer_length(INT) -> N
    Returns the length in bits of INT as a two's-complement integer.
    That is, N is the smallest integer such that

        INT  <   ( 1 << N),   if INT >= 0
        INT  >=  (-1 << N),   if INT <  0

    Put another way: if INT is non-negative then the representation of
    INT as an unsigned integer requires a field of at least N bits;
    alternatively, a minimum of N+1 bits are required to represent INT
    as a signed integer, regardless of its sign.

    Counts the number of 1 or 0 bits in the two's-complement
    representation of INT. If INT is non-negative, N is the number of 1
    bits; if INT is negative, it is the number of 0 bits.

For more information on any of theses see REF NUMBERS

-- -- Infix and prefix bitwise (logical) operators

    &&      4       Logical and of bits in two integers

    &&~~    4       Logical and of first argument and negation of
                    second. (Useful for clearing bits.)

    ||      4       Logical "inclusive or" bits in two integers.

    ||/&    4       Logical "exclusive or" of bits in two integers.

    &&/=_0  6
    &&=_0   6
                These two operators provide the same results as the
                boolean expressions

                    INT1 && INT2  /==  0
                    INT1 && INT2  ==   0

                but are more efficient and avoid producing intermediate

-- -- Unary bitwise negation ~~

The unary operator ~~ has precedence 4
    It produces the logical complement of its argument, i.e. there is a
    1 in the result for each bit position for which the argument has 0.
    It is always true that ~~ INT = -(INT + 1)

-- -- Bitwise (logical) shift operators

 I << N     4       Shifts the bits in I N places left (or -N places
                    right if N is negative).

 I >> N     4       Shifts the bits in I N places right (or -N places
                    left if N is negative).

integer_field(SIZE, POSITION) -> ACCESS_P
    This procedure, described fully in REF NUMBERS can be used to create
    very efficient procedures for accessing and updating sub-bitfields
    within integers, and provides a more convenient (and more efficient)
    way of manipulating such fields than by masking and shifting with
    the operators && and >>, etc.

-- Iteration over numbers ---------------------------------------------

-- -- for num from ... by ... to ... do ... endfor

There are many ways of expressing iteration over sets of numbers in
Pop-11, including using repeat ... endrepeat, while ... endwhile, and
until ... enduntil.  However, it is usually "for" loops that are most
convenient. These allow a variable to take successive values in a series
of numbers defined by repeatedly adding or subtracting a fixed amount.

The basic syntactic form provided to support this kind of iteration is
the following (where line-breaks are equivalent to spaces):

    for <variable> from <number> by <number> to <number> do

However the "from" and "by" components may be omitted where the number
in question is 1. So the following forms are also permitted:

    for <variable> from <number> to <number> do <actions> endfor
            (Default: "by 1")

    for <variable> by <number> to <number> do <actions> endfor
            (Default: "from 1")

    for <variable> to <number> do <actions> endfor
            (Defaults: "from 1", "by 1")

Examples of arithmetical for loops are:

    vars x;
    for x to 10 do spr(x) endfor;
    1 2 3 4 5 6 7 8 9 10

    for x by 0.5 to 5 do spr(x) endfor;
    1 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

    for x by 1/3 to 5 do spr(x) endfor;
    1 4_/3 5_/3 2 7_/3 8_/3 3 10_/3 11_/3 4 13_/3 14_/3 5

    for x from 1 to 6 do spr(x) endfor;
    1 2 3 4 5 6

    for x from 19 by -1 to 8 do spr(x) endfor;
    19 18 17 16 15 14 13 12 11 10 9 8

    for x from -5 by -0.6 to -9 do spr(x) endfor;
    -5 -5.6 -6.2 -6.8 -7.4 -8.0 -8.6

For loops may be nested. For example, to make a list of all possible
pairs of numbers between 3 and 5 do

    vars x, y;
    [% for x from 3 to 5 do
        for y from 3 to 5 do
            [^x ^y]
    endfor %] =>
    ** [[3 3] [3 4] [3 5] [4 3] [4 4] [4 5] [5 3] [5 4] [5 5]]

-- -- Using fast_for

When it is known that the values of the loop variable and the increment
or decrement will all be integers, then it is permissible to use the
fast_for instead of for, e.g.

    vars x;
    fast_for x from 1 by 300 to 10000 do x endfor =>
    ** 1 301 601 901 1201 1501 1801 2101 2401 2701 3001 3301 3601 3901
        4201 4501 4801 5101 5401 5701 6001 6301 6601 6901 7201 7501 7801
        8101 8401 8701 9001 9301 9601 9901

Using this form will eliminate some of the run-time checks that are
otherwise required. However, it is risky in that errors may not be
detected. (See HELP EFFICIENCY).

-- -- Iterating over non-arithmetical progressions

For sequences of numbers not defined by constant intervals it may be
convenient to use the following form:

    for <action> step <action> till <condition> do <actions> endfor

For example to produce a list of the powers of 2 less than 10000 do

    vars x;
    [% for 2 -> x step x * 2 -> x; till x >= 10000 do x endfor%] =>
    ** [2 4 8 16 32 64 128 256 512 1024 2048 4096 8192]

-- Using external mathematical libraries ------------------------------

For some programs it is desirable to use existing mathematical libraries
written in C or Fortran or other languages, e.g. the NAG libraries.

This is possible by externally loading the libraries into Poplog. This
can save work duplicating code, and also produce faster performance than
rewriting the programs in Pop-11.

The mechanisms for linking in external programs are described in

        These files describe the basic mechanisms for linking in and
        communicating with "external" programs.

        These files describe higher level language-specific tools
        for managing external programs.


In Chapter 1 an example of the use of lists to represent a collection of
items of information about rooms was used to introduce a number of
features of the language Pop-11. We have occasionally used lists to
illustrate other points in preceding chapters. This chapter explains in
more detail why lists are important, how they are implemented and how
they can be used.

The chapter will provide more general information on syntax for
constructing lists, together with an overview of the basic procedures
available for operating on lists including the two list-pattern matchers
provided in Pop-11.

-- On knowing about lists ---------------------------------------------

There are several things a Pop-11 user needs to know about lists:

    What they are used for
    How to construct them
    How to extract information from them
    How they are represented in the machine
    How dynamic lists and static lists differ
    How to compare them or test them to see whether they satisfy
        certain conditions relevant to deciding what to do.
    Which facilities are available for manipulating lists
    How to design your own facilities for manipulating lists
    How to optimise your list-processing programs

A comprehensive overview of all these topics would require a whole book.
This chapter, introduces the basic ideas and gives some examples of how
to use them.

-- Why use lists? -----------------------------------------------------

For work in Artificial Intelligence, and many other applications where
we need to represent data in a variety of forms, lists are a very
useful data type, partly because it is possible for two lists to share
common sublists, partly because it is possible for lists to change their
size by being extended in the middle or at either end, and partly
because there is a way of representing them that is simple and flexible.

In Lisp and closely related languages, such as Scheme and T, it is also
the case the lists can represent interpreted procedures: this is
sometimes useful, though not as useful as the early inventors of Lisp
supposed it would be. Pop-11 has a different philosophy regarding
procedures and some of the things that a Lisp programmer would do by
building a list and interpreting it, a Pop-11 programmer would do by
using partial application to build closures that can be run (as
described in chapter 4).

Also, the incremental compiler provided in Pop-11 allows lists of text
items representing procedure definitions to be compiled at run time.
For example

    vars name = "silly", func = "last", list = [a b c];
    popval([define ^name; ^func(^list); enddefine;]);

creates a new COMPILED procedure called silly, which can be run like any
other procedure and then applies last to [a b c]

    silly() =>
    ** c

This is sometimes useful, in writing programs that create new programs.

However, Pop-11 does not provide the equivalent of Lisp's EVAL, which
interprets Lisp procedure definitions.

Nevertheless lists play a very important role in representing
information in many Pop-11 programs.

-- -- Lists can contain a mixture of elements of any type in Pop-11

Lists can be used to represent or store many kinds of information. In
Pop-11, like most AI languages, lists can contain any type of object,
including, for instance, numbers, words, procedures, and other lists.
Moreover, the same list can contain a mixture of items of different
types. This is impossible to achieve in strongly typed languages,
including even some languages with a polymorphic type system (e.g. ML).

This generality has a number of implications. First of all it is
possible conveniently to use lists to represent all kinds of information
in a common format, especially information that changes its structure
while a program is running. Moreover, because one does not need to use
different datastructures for different kinds of information it is
possible to produce a collection of very general re-useable procedures
that work on lists containing different kinds of data. The Pop-11
"pattern matcher", described below, is an example of a very powerful
general purpose utility procedure for operating on many types of lists.
Another example is the Pop-11 database package, based on the matcher.

Being able to use such "generic" procedures with lists of different
kinds can simplify program development and lead to more compact and
robust programs.

-- . Illustrating generality: isinlist

To illustrate here is a simple example. In Pop-11 it is possible to
provide a single "isinlist" procedure, which takes an item and a list
and returns a boolean result, which is true if the item is in the list
otherwise false, as follows:

    define isinlist(target, list) -> found;

        lvars item;
        for item in list do
            if item = target then
                true -> found;
        false -> found

This procedure is very general, insofar as it can then be used on lists
of numbers, words, strings, lists, etc. in any combination, as it makes
no assumptions about the types of the values of the variables "target"
and "list", except that the value of "list" should be a list: if not a
run time error will occur, because it uses the list iteration construct.
Although it assumes that the second argument will always be a list, it
makes no assumptions about the contents of the list. In some languages,
such as Pascal it would be necessary to produce a different version of
the procedure for each type of list, and it would not be possible to mix
items of different types in one list.

The versatile behaviour of isinlist can be illustrated thus:

    vars person_data =
        [name joe age 23 wife mary salary 20000 children [sue fred]];

    isinlist("mary", person_data) =>
    ** <true>

    isinlist(20000, person_data) =>
    ** <true>

    isinlist("fred", person_data) =>
    ** <false>

    isinlist([sue fred], person_data) =>
    ** <true>

(In fact the built in Pop-11 procedure "member" behaves like isinlist,
so it is not necessary for users to define isinlist. Try replacing
"member" in all the above examples.)

There are many other examples of re-usable general procedures that
operate on lists no matter what their contents. For example, applist,
maplist, syssort, the concatenator <>, and other procedures described

The library procedure assoc can create an associative memory made of
two-element lists, no matter what the contents of the lists are.

    vars person =
        assoc([[name fred]
               [sex male]
               [age 30]
               [kids [sue tom dick]]]);

    ;;; person is now an association mechanism.
    person("age") =>
    ** 30
    person("age") + 1 -> person("age");
    person("age") =>
    ** 31
    person("kids") =>
    ** [sue tom dick]

-- Lists vs other representations -------------------------------------

How to choose between the use of lists or other means of representation
is not always obvious: it can take many years of experience to make good
decisions, weighing up such criteria as ease of program design, ease of
testing, ease of long term maintenance, compactness, speed, generality.

Sometimes the reason for using a particular representation is simply
that there already exist utilities that do the job one needs and one
does not wish to have to rewrite them.

Although in principle lists can be used for every type of data, it is
sometimes useful on grounds of compactness of data, or speed of access,
or more useful run-time checking to use a more specific data-type for a
particular problem.

When more specialised representations are required, Pop-11 provides
records, vectors, arrays, strings, properties and user defined record
classes and vector classes. (See the list of data types in Chapter

Moreover, the object-oriented extensions to Pop-11 (Objectclass and
Flavours) provide additional means of structuring large programs.
See Chapter 8 below for a brief introduction to Objectclass.

-- Lists in AI --------------------------------------------------------

A central thesis of much work in Artificial Intelligence is that certain
sorts of computational processes provide a good way to represent many of
the processes we call thinking, seeing, reasoning, speaking, learning.
But what sorts of computations? Not only the manipulation of numbers
found in much scientific and engineering computation, but also a wide
variety of non-numerical symbol manipulations. Intelligence seems to
involve the manipulation of many kinds of symbols that can be used to
store information about many kinds of things and their properties and

The role of symbolic and non-symbolic processing is the subject of
considerable debate among those interested in how intelligent systems
work. For now, we shall avoid getting embroiled in such debates and
merely point out that for many purposes where symbolic manipulation is
useful, lists can provide a powerful and general representation. They
can also be used for programs operating on numerical data, though
in that case some other representation will often be more efficient and
more natural, e.g. arrays or vectors.

-- Constructing lists in Pop-11 ---------------------------------------

The simplest way to construct a list is to use square brackets. But
there are several others:

-- -- Lists are constructed using [    ]

These "list constant brackets" may contain text items, i.e  words,
numbers strings, lists, or anything else. E.g.:

       [ A B C D]            is a list of four words
       [1 cat 2 dog 3 pig ]  is a list of six items.
       [string 'a short string' 66]
          is a list with a word a string and a number.

[]  is the empty list. There's more on this below.

List brackets may also be used to construct lists which contain lists,

       [ [1 2]  [3] 4 ]

is a list with two lists of numbers and one number. It contains exactly
three elements, of which the first contains two elements.

A list can also contain vectors, signified with the vector brackets {  }
which themselves can enclose further lists or vectors to any depth:
e.g. (using more spaces than necessary, for clarity):

    [ a b { c d [ e { f } ] } [ g h ] ]

This is a list containing four items: two (quoted) words "a" and "b", a
vector { c d [ e { f } ] } and a two element list [ g h ].

-- -- List brackets quote their contents

The words in a list are by default quoted, apart from the list and
vector brackets, which signify embedded lists and vectors.

So even if the words are Pop-11 identifiers, their values are not
inserted in the list, just the words themselves. (This is unlike the
convention in Lisp, where, by default, the values are inserted.)


    [true false if + * then sqrt ] =>
    ** [true false if + * then sqrt]

-- -- Unquoting using ^ and %

In order to get the contents of a list (or vector) expression evaluated,
or unquoted, it is possible to use either ^ or matching pairs of % ... %
as in this deliberately confusing example

    vars x = "cat", cat = "x";

    [x cat ^x ^cat] =>
    ** [x cat cat x]

which is equivalent to each of

    [x cat %x% %cat%] =>
    [x cat %x, cat%] =>
    [% "x", "y", x, cat %] =>

Another example would be

    vars n1 = 5, n2 = 7;
    [the sum of n1 and n2 is %n1 + n2%] =>
    ** [the sum of n1 and n2 is 12]

So, in order to insert the value of a single variable, it is simplest to
use ^variable, whereas pairs of percents % ... % may be more
appropriate for longer expressions to be evaluated.

NOTE: ^ cannot cannot be used outside a list or vector expression.
However, % has an additional use in forming closures, using partial
application, as described in Chapter 4, and HELP PERCENT

Between the percent signs in a list or vector expression the normal
syntactic rules for Pop-11 apply, so that, for example, expressions must
be separated by commas, and in order to quote a word the word quote
symbol '"' must be used.

-- -- ^( ... ) is equivalent to % .... %

For historical reasons, the use of the percent symbols is equivalent
to the use of ^ followed by a parenthesised expression. Thus, the
last two examples could be written

    [ ^( "x", "y", x, cat )] =>
    [the sum of n1 and n2 is ^(n1 + n2)] =>

There is no difference in meaning or efficiency between ^( ... ) and
% ... %.

If embedded list or vector expressions are used inside these "unquoted"
portions of a list, then by default they too quote their contents,
unless % or ^ is used to unquote, e.g.

    [% [two words], [% n1, "a"%], [% n2 % b c] %] =>
    ** [[two words] [5 a] [7 b c]]

is a list of three lists, whose contents depend on the values of the
identifiers n1 and n2, but treats all other words as quoted.

The symbol "%" can occur anywhere in a list expression (or vector
expression). But it must occur in pairs. Roughly speaking, in a list the
first occurrence of each pair means: "switch from quoting to non-quoting
mode", and the second occurrence means "switch from non-quoting to
quoting mode". In non-quoting mode variables are replaced by their
values and any procedures are run and their values are inserted in the
list instead of the names of the procedures being put in the list.

-- -- Loops can occur in unquoted portions of a list

There is no restriction at all on the sequence of expressions that can
occur in the unquoted portion of a list. The Pop-11 instructions are
run, and any results produced that are left on the stack will be
incorporated in the final list.

So for example, it is possible to use a loop between % .. % to create a
list of numbers.

    vars n;
    [% for n from 1 to 20 do n endfor % ] =>
    ** [1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20]

Similarly the contents of the list, may be conditional on something
else, as in

    [The list was % if n > 15 then "big" else "small" endif % ] =>
    ** [The list was big]

-- WARNING lists in procedures are not "constants" --------------------

An expression using the list (and vector) brackets, and containing no
occurrences of the un-quoters "^", "^^" or "%" may LOOK as if it
represents a constant object, in the way that a word expression, e.g.
"cat" or a string expression does e.g. 'the cat'.  However, in Pop-11 an
expression like

    [ a b { c d [ e { f } ] } [ g h ] ]

compiles into a collection of instructions to CREATE a list of words,
vectors and lists. Although the very same words are used each time (they
are are stored in the Pop-11 dictionary for that purpose), the other
structures are recreated each time the procedure is run. So for example
if you define a procedure to return what looks like a constant list, it
will return a new copy each time, thus:

    define a_list();
        [a list]    ;;; create a list and leave on stack

    ;;; Use it to create a list
    vars x1 = a_list();
    x1 =>
    ** [a list]

    ;;; create another list using the same procedure
    vars x2 = a_list();
    x2 =>
    ** [a list]
    ;;; test for equality
    x1 = x2 =>
    ** <true>
    ;;; test for identity
    x1 == x2 =>
    ** <false>

So although the different lists returned by the procedure are = to each
other (i.e. they are of the same type and they contain objects that are
= to each other) nevertheless they are not == to each other. They are
not the same object, even though they have the same structure and
contain objects that are = to each other.

Similarly two apparently identical list expressions will create copies
of each other but not identically the same object:

    [a list] = [a list] =>
    ** <true>

    [a list] == [a list] =>
    ** <false>

Contrast the case of words, which are identical if they look the same:

    "list" == "list" =>
    ** <true>

Similarly, if a list is assigned to a variable outside a procedure then
as long as nothing new is assigned to the variable, it will always point
to the same list.

    vars x2 = [another list];

    x2 == x2 =>
    ** <true>

For more on the difference between "=" and "==" see HELP EQUAL

-- -- Creating a truly constant list expression

A consequence of all this is that a procedure that uses a list
expression will create a new copy each time it runs, even though this
may not be strictly necessary, and this can cause more garbage
collections to occur than the program really needs. (The garbage
collector is described briefly in Chapter 2). This will happen if you
define a procedure that uses the pattern matcher and includes something

    if list matches [room ?name ?len ?width ?height] then

In such cases the pattern to the right of "matches" will be recreated
on every execution of the procedure.

For many programs where speed is not crucially important this will not
matter as the Pop-11 garbage collector is very fast, and the creation of
unnecessary temporary structures will not make very much difference.
Where it does matter, there are two things you can do to ensure that
exactly one list is created and then re-used.

-- . Using lconstant

If inside a list you declare a variable using lconstant, then you MUST
initialise it, and the expression to initialise it will be evaluated
only once, at compile time, and thereafter the same result will be used
on every call of the procedure. E.g.

    define the_list();
        lconstant list = [the list];

    the_list() =>
    ** [the list]

    the_list() == the_list() =>
    ** <true>

If "lvars" or "vars" had been used instead of "lconstant" that last
identity comparison would have been false.

-- -- using #_< ... >_# to evaluate an expression at compile time

Another way to get a truly constant constant list is to use these
brackets which cause their contents to be evaluated once, at compile
time and then the result is re-used each time the procedure is run.

    define another_list();
        #_< [another list] >_#

    another_list() =>
    ** [another list]
    another_list() == another_list() =>
    ** <true>

So you can use these brackets in expressions like

    if list matches #_< .... >_# then

However this will NOT work properly if the list expression includes
items whose values are not known until the procedure is actually
running, e.g. list or vector expressions containing any of

    ^  ^^  % ... %

as described above.

-- -- WARNING constant lists can cause strange behaviour

If you use a truly constant list, and your program changes that list
then the change will be remembered between invocations of the procedure,
and the list will then not be a constant.

Form example, on each call of this procedure, it will return the value
of item, which is got from the head of the stored list.

    define counter() -> item;
        lconstant list = [0];

        list(1) -> item;        ;;; get the first item.
        item + 1 -> list(1);    ;;; increment the stored value

    counter() =>
    ** 0
    counter(), counter(), counter() =>
    ** 1 2 3

If "lconstant" were replaced by "lvars" then on every execution the
procedure would construct a new list containing [0], and would therefore
always print out the same result.

If a constant list is returned as a result, and then altered OUTSIDE the
procedure that produced it, this will change the future behaviour of the

    define announce() -> list;
        lconstant list = [0 is a number];

    announce() =>
    ** [0 is a number]

But if the result is tampered with....

    vars x = announce();
    999 -> x(1);
    x =>
    ** [999 is a number]

then that "corrupts" the procedure:

    announce() =>
    ** [999 is a number]

Some of the issues relating to constant lists are described in the
online file HELP EFFICIENCY. The are two dangerous procedures described
in REF sys_grbg_list and sys_grbg_destpair which explains how a list
once created can be returned to the "free" store so that it can be
re-used without creating unnecessary garbage collections. These
procedures are dangerous and should only be used by very experienced
programmers who know how to make sure when it a list really cannot be
used again, and therefore can safely be returned to the free store.

It is precisely because that sort of thing can be very difficult to
determine that Pop-11 uses an AUTOMATIC garbage collector, which is very
much safer.

-- Concatenating lists using <> ---------------------------------------

If two lists are to be joined together, the general-purpose Pop-11
concatenator can be used, as in

    vars list1 = [a b c], list2 = [d e f];
    list1 <> list2 =>
    ** [a b c d e f]

    list1 <> list2 <> list1 <> list2 =>
    ** [a b c d e f a b c d e f]

-- Merging lists using the double up-arrow ----------------------------

A more flexible facility than <> is the use of ^^ which allows the
contents of one list to be spliced into another at any location, whereas
<> allows only joining lists "end on". For example:

    vars list1 = [a b c], list2 = [d e f];

    [1 2 ^^list1 3 4 ^^list2 ] =>
    ** [1 2 a b c 3 4 d e f]

The same list can be spliced in at several different points:

    [ ^^list1 x y z ^^list1] =>
    ** [a b c x y z a b c]

It is possible to use an arbitrary Pop-11 expression that evaluates to a
list after ^^ provided that it is enclosed in parentheses.

    [a set of numbers ^^( [% 1 + 2, 3 + 4, 5 + 6%])] =>
    ** [a set of numbers 3 7 11]

Compare the use of ^ without the embedded list brackets and % symbols:

    [a set of numbers ^( 1 + 2, 3 + 4, 5 + 6)] =>
    ** [a set of numbers 3 7 11]

So inside a list, the form

    ^^( [% <Pop-11 instructions> %] )

is exactly equivalent to

    ^( <Pop-11 instructions> )

except that the former wastefully creates a temporary list and then
discards it after its contents have been spliced into the final list.
so it is worth using ^^ only when a list already exists, although it may
be necessary to use a complex expression to access it, e.g.

    vars list = [a [b c d] e f];
    [another list with : ^^(list(2)) ] =>
    ** [another list with : b c d]

Here list(2) was used to get at the second element of list.

If the above had used ^ instead of ^^, the result would have been:

    [another list with: ^(list(2)) ] =>
    ** [another list with : [b c d]]

In other words ^^ removes a layer of list brackets that ^ will leave.
The prefix "^^" can be thought of as meaning "remove the list brackets".

If the value is not a list, an error will result.

    vars x = 99;
    [a b c ^^x] =>

    ;;; INVOLVING:  99

-- Lists are a derived data-type --------------------------------------

-- . Pairs are the primitive datatype used: conspair, front, back

LISTS in Pop-11 are built out of a data type called PAIRS, which are
two-element records. Pairs can be created using the procedure conspair.

    vars pair1 = conspair(3, "cat");

    pair1 =>
    ** [3|cat]

Note how pairs are printed almost like lists, except for the vertical
bar to indicate that they are not two element lists.

The built in system procedures front and back can be used to access or
update their elements. E.g.

    front(pair1) =>
    ** 3

    "dog" -> back(pair1);
    pair1 =>
    ** [3|dog]

Pairs can be chained together, e.g. by creating a new pair whose back is
the old one.

    vars pair2 = conspair(2, pair1);
    pair2 =>
    ** [2 3|dog]

Notice how the printing procedure starts printing pair2 as if it were a
list,  that is a chain of pairs, then suddenly it finds that the list
ends in a pair that has a word as its back, rather than another pair or
the special end of list object [], so it indicates that it's not a
proper list, by using the vertical bar again.

-- -- destpair(pair) -> (pair_front, pair_back)

The procedure destpair, when given a pair, puts both the front and the
back on the stack. So using destpair can sometimes be more efficient
than first calling front then back.

    destpair(pair1) =>
    ** 3 dog

The front and the back of the second pair created above, pair2, can also
be accessed in one Pop-11 instruction, using destpair:

    destpair(pair2) =>
    ** 2 [3|dog]

For example, a loop doing something to every item in a chain of pairs
might have:

    while ispair(chain) do
        destpair(chain) -> (item, chain);
        .... instructions involving item .....

instead of

    while ispair(chain) do
        front(chain) -> item;
        .... instructions involving item .....
        back(chain) -> chain;

-- . A chain of pairs ending in [] is a list

The chain of two pairs created above involving pair1 and pair2 is not
yet a proper list, since every list must end with the empty list [] as
the back of the final pair (except for dynamic lists, described below.)

        pair1 = conspair("b", "c"),
        pair2 = conspair("a", pair1);

So neither pair1, nor pair2 is a proper list, as is indicated by the way
they are printed, e.g.:

    pair2 =>
    ** [a b|c]

If we now change the back of pair1, by assigning [] to it, we'll get
a proper list:

    [] -> back(pair1);
    pair1 =>
    ** [b]

and this has also changed pair2 into a properly terminated list.

    pair2 =>
    ** [a b]

NOTE: The empty list [] is a special, unique object, with its own
dataword (like termin and popstackmark).

    dataword([]) =>
    ** nil

The system identifier "nil" can also be used to refer to the empty list:

    nil =>
    ** []

    nil == [] =>
    ** <true>

    conspair(3, conspair(4, nil)) =>
    ** [3 4]

-- -- List expressions are "syntactic sugar"

From this, it should be clear that the list expression [a b] is actually
just "syntactic sugar" for the expression:

    conspair("a", conspair("b", []))

and [a ^x b] is syntactic sugar for

    conspair("a", conspair(x, conspair("b", [])))

and [a %x + y% b] is syntactic sugar for

    conspair("a", conspair(x + y, conspair("b", [])))

So, inside a list expression, words are quoted by default and "^" or "%"
is used to unquote them, whereas outside a list words are by default not
quoted and """ is used to quote them. The same applies to vector
expressions using { ... }

Exercise: What is [the cow is brown] syntactic sugar for?

-- -- Recursively chaining down list links

Because all lists end in the unique object [], there are many programs
that chain down a list made of pairs by assigning the first pair to a
variable, then the second pair, then the third, and so on, stopping only
when it is found that the variable points to [].

For example here is a recursive procedure to copy a list (which could be
written more compactly but would be less clear):

    define copy_list(oldlist) -> newlist;
        lvars newtail ;

        if oldlist == [] then
            [] -> newlist
        elseif ispair(oldlist) then
            ;;; recursively copy the back of the list
            copy_list(back(oldlist)) -> newtail;
            ;;; and create a new list using the old front
            ;;; and the new tail
            conspair(front(oldlist), newtail) -> newlist
            mishap('LIST NEEDED', [^oldlist])

    copy_list([a b c d]) =>
    ** [a b c d]

Recursive procedures can often be understood more easily if traced,
using the trace mechanism described in Chapter 4 (or HELP TRACE). So
try running the previous command after first doing:

    trace copy_list

Note that the Pop-11 system procedure copylist does exactly what
copy_list does, so there's no need for the user to define copy_list.

-- -- Recursing down the front and the back of a "tree"

Note also that if there were an embedded list, it would not be copied:
it would reappear in the new list, as in [a b [c d] e]. Lists like
this have a "tree" structure, as shown by the boxes diagrams below.

Complete copying of a tree can be achieved by a "doubly recursive"
procedure, which copies list elements that are lists as well as copying
the "top level" list.

For example, here's a doubly recursive version, which simply leaves its
results on the stack instead of using an output local variable:

    define copy_tree(tree);
        if ispair(tree) then
            ;;; copy the front if its a pair, otherwise use it, and
            ;;; then put the result in a new pair, with a copy of the
            ;;; old back
                if ispair(tree) then copy_tree(front(tree))
                    else tree endif,
                copy_tree(back(tree)) )
            ;;; just return the item that is not a pair

    vars tree = [[a 1 2] [b 3 4] [c [x y] 5 6] d];
    copy_tree(tree) =>

Running that example with copy_tree traced, will show all the recursive

We turn now to showing in more detail how the static lists are actually

-- -- Numeric subscripts and lists

We have already seen on numerous occasions that lists can be treated as
if they were one dimensional arrays, whose elements can be accessed via
numerical subscripts, starting from 1.

    vars list = [a bird in the hand];

    list(2) =>
    ** bird

    "fish" -> list(2);
    list(2) =>
    ** fish

    list =>
    ** [a fish in the hand]

If the number is too small or too large an error will result.

    list(8) =>
    ;;; INVOLVING:  8 [a fish in the hand]
    ;;; DOING    :  compile ....

-- -- Iterating down list links

Here is a rather different program that uses iteration rather than
recursion. It searches down the list links until if finds a target
element and then returns a copy of the rest of the list, starting from
the target.

    define tail_list(target, oldlist) -> newlist;

        oldlist -> newlist;

            if newlist == [] then
                mishap('TARGET NOT IN LIST', [^target ^list])
                if front(newlist) = target then
                    return();   ;;; result is newlist
                    ;;; get next link in the list
                    back(newlist) -> newlist

    tail_list("cat", [The black cat sat on the mat]) =>
    ** [cat sat on the mat]

Exercise: re-write that procedure using the for loop format:

    for <var> on list do .... endfor

-- Why use "hd" and "tl" instead of "front" and "back" ?

-- . The need to hide implementation details

We have seen that a list is actually a chained collection of pairs. But
most of the time the user does not need to know about this. High level
facilities for manipulating lists are provided, which conceal from the
user the details of how they are represented in the machine. For example
Pop-11 provides special syntax using the list brackets [ ... ] together
with "^", "^^" and "%" for creating lists by specifying what they should
"look like", without worrying about their implementation at a lower

Additional facilities provided that "hide the implementation details"
are the following procedures:

    matches, copylist, applist, maplist, and the list concatenator <>.

In addition there are looping constructs, e.g. using

    for <var> in <list expression> do ... endfor
    foreach <pattern> in <list> do ... endforeach

which also make it convenient to manipulate lists without knowing how
they are implemented. (The faster version: "fast_for ... endfast_for"
described in REF FASTPROCS) assumes that there are no dynamic lists
(described below), and therefore does not do as much checking.)

For the sake of efficiency it is sometimes useful to know how lists are
implemented and to use the procedures conspair, destpair, front and back
as in previous examples. This would have the disadvantage that if the
implementation were ever to change and something other than simple
chained pairs were used for lists, then programs that used these
procedures would stop working.

In fact, in some versions of the Pop language that is already the case,
because Pop2, Pop10 and Poplog Pop-11 support what are called "dynamic"
lists, which have a slightly different implementation from the lists
described so far, which are all "static" lists. These will be described

Meanwhile, the main justification for using hd, tl, and dest can be
thought of as being to "hide the implementation details", which allows
the implementation to be changed.

Note: "hd" and "tl" in Pop-11 correspond to "CAR" and "CDR" in LISP.

-- -- using :: instead of conspair

For this reason it is desirable to use something other than conspair,
which is guaranteed always to give a list. An infix list constructor
operator is provided, namely "::". It's infix precedence is 4. It is
similar to conspair, except that it will complain if its second argument
is clearly not a list.

    "a" :: [b c d] =>
    ** [a b c d]

    conspair("a", "b") =>
    ** [a|b]

    "a" :: "b" =>
    ;;; INVOLVING:  b
    ;;; DOING    :  :: (etc.)

Unfortunately, for historical reasons, "::" associates to the left
rather than to the right, so parentheses are needed to produce a flat
list, as with conspair:

    1 :: (2 :: (3 :: [])) =>
    ** [1 2 3]

Without the parentheses, it is equivalent to

    ((1 :: 2) :: 3) :: [] =>

And the embedded invocation of "1 :: 2" will produce a LIST NEEDED

For this reason, when constructing a list from a number of known items
it is usually simpler and clearer to use the "syntactic sugar" of list
expressions than to use multiple occurrences of "::", e.g.

    [1 2 a ^x ^y]

is used instead of

    1 :: (2 :: ("a" :: (x :: (y :: []))))

-- -- The difference between :: and <>

It is important to be aware of the difference between the list
constructor :: and the list concatenator <>.

The procedure :: takes a potential list-head and a potential list-tail
(which must already be a (possibly empty) list and makes a new list with
that head and tail (and without copying the tail). Thus the first
argument of :: is the first element of the new list.

By contrast the concatenator <> takes a potential initial segment of a
list and a potential final segment, and makes a new list containing
those segments. The first argument of <> is not the first ELEMENT of the
new list: though its elements are the initial elements of the new list.

The difference can be interested with the following two examples, where
both operators are applied to two lists:

    [a b c] :: [d e f] =>
    ** [[a b c] d e f]

    [a b c] <> [d e f] =>
    ** [a b c d e f]

The first example produces a list of four items, the second a list of
six items.

Each could be defined in terms of the other. To illustrate we can use
<> to define an infix operator like :: called :+:, and we can use :: to
define an infix operator like <> called <+>. In each case we give the
infix precedence as an integer following "define".

    define 4 :+: (item, list);
        [^item] <> list

    ;;; Test it:

    "a" :+: ("b" :+: []) =>
    ** [a b]

This is wasteful because each invocation of :+: creates a temporary list
to give to <>, which is then copied and discarded.

We can also define a concatenator in terms of ::, though this time we
use recursion. The idea is that in order to create list1 <> list2 we
first create tl(list1) <> list2, then use hd(list1) and :: to finish the
job. The recursive call on the tail of list1 will, of course, use ::
repeatedly. When it gets down to list1 == [], the concatenator simply
needs to return list2, since [] <> list2 = list2.

    define 5 <+> (list1, list2);
        if list1 == [] then list2
            hd(list1) :: (tl(list1) <+> list2)

    ;;; Test it:

    [a b c] <+> [d e f] =>
    ** [a b c d e f]

Notice that list2 is used exactly as it is: it is not copied. However,
:: creates new list links for the elements of list1.

-- Diagrams showing static lists represented as pairs -----------------

This section shows how (non-dynamic) lists are represented as chained
collections of pairs linked together. It is based on the Poplog file
TEACH BOXES, originally written by Steve Hardy.

Consider the following set of instructions in Pop-11. We first explain
what each one means to a user, and then present a graphical
representation of the effects on the computers memory.

    vars x;

This puts an entry for the word "x" in the Pop-11 dictionary (unless it
was already there), and, in the current section, associates it with an
ordinary identifier record (identprops = 0). The "valof" cell in the
record originally has an <undef x> record as its contents.

        x! *-+----> <undef x>

    "a" -> x;

This creates an entry for the word "a" in the Pop-11 dictionary (unless
it was already there) and stores a pointer to the word in the valof cell
of the identifier record associated with "x"

   Dictionary     Identifiers in
                  Current section

    <word v>
    <word x>----> |ident * |
    <word a> <-----------+

    <word if>------>....

Here the notation *----> is used to represent a "pointer" where the "*"
indicates a bit pattern that gives the address in (virtual) memory of
the item at the other end of the arrow. When a memory cell contains a
pointer to the word "a" we shall sometimes abbreviate this by displaying
the word directly in the cell. Also instead of separately representing a
word in the dictionary and its identifier record, we can write the word
immediately to the left of a box representing its "valof" cell. Thus the
above representation of the effect of "a" -> x can be abbreviated as

        x| a |

We'll use this sort of abbreviation in subsequent examples.

    [a] -> x;

This is equivalent to

    conspair("a", []) -> x;

It creates a new list, consisting of a single pair record, with a
pointer to the word "a" in its front and a pointer to the empty list []
in its back.

         .===.   .---.---.
        x| *-+-->| a | *-+----->[]
         .===.   .---.---.

To simplify such examples, we'll display "[]" in the box, instead of
showing a pointer to it. So the above example becomes

         .===.   .---.--.
        x| *-+-->| a |[]|
         .===.   .---.--.

    [how now brown cow] -> x;

This creates records for the four words "how", "now", "brown" and "cow"
and puts them in the dictionary (so that they'll be found and re-used if
the words occur somewhere else). It does not create identifier records
for value cells for the words, because they are merely quoted in the
list, not used as variable names. It then creates a four element
list, made of four list links, the first containing a pointer to "how"
in its front and a pointer to the second in its back, the second
containing a pointer to "now" in its front, and so on. The fourth link
contains a pointer to [] in its back. When the list has been constructed
a pointer to the first pair is put on the stack. Then the assignment
removes it from the stack and puts it in the valof cell for "x", with
the following result:

         .===.   .---.---.   .---.---.   .-----.---.   .---.--.
        x| *-+-->|how| *-+-->|now| *-+-->|brown| *-+-->|cow|[]|
         .===.   .---.---.   .---.---.   .-----.---.   .---.--.

    [[a]] -> x;

This creates a list consisting of a single pair, whose front contains
"a" and whose back contains [], then creates a new list whose front
points to the original list and whose back also points to [], thus:

         .===.   .---.--.
        x| *-+-->| * |[]|
         .===.   .-+-.--.
                   |         (Note: the backs of both pairs point to the
                   v          very same item, not two copies of [].)
                 | a |[]|

    [[the man] kicked [a dog]] -> x;

This one is easier to show than to describe. It might be a good idea for
the reader to draw the diagram corresponding to this before looking at
the one given here.

         .===.   .---.---.   .------.---.   .---.--.
        x| *-+-->| * | *-+-->|kicked| *-+-->| * |[]|
         .===.   .-+-.---.   .------.---.   .-+-.--.
                   |                          |
                   v                          v
                 .---.---.   .---.--.       .---.---.   .---.--.
                 |the| *-+-->|man|[]|       | a | *-+-->|dog|[]|
                 .---.---.   .---.--.       .---.---.   .---.--.

    [a b c] -> x; tl(x) -> y;

This creates the expected two-element list containing pointers to the
quoted words "a", "b" and "c" (added to the dictionary if necessary),
and inserts a pointer to the first link into the valof cell for "x".

The procedure "tl"  then takes a copy of the pointer in the back of the
first link pointed to by "x" (i.e. its tail, or "tl") and the assignment
puts it in the valof cell for the word "y", so that "x" and "y" now both
provides route to the second pair in the list, though it can be reached
more directly from "y".

         .===.   .---.---.   .---.--.     .---.--.
        x| *-+-->| a | *-+-->| b | * +--->| c |[]|
         .===.   .---.---.   .---.--.     .---.--.
         .===.                 |
        y| *-+-----------------*

After the above has been constructed, the expression "y == tl(x)"
evaluates to TRUE. I.e. it is only the pointer that has been copied
across: the list cell pointed to has not been copied. So if we were
to assign something to hd(y) then that would also change hd(tl(x)) and
vice versa.

The next example illustrates the use of the structure concatenator
"<>" when used with lists. An expression of the form list1 <> list2
creates a new list, which starts with the elements of list1 and
continues with the elements of list2. However although it makes a
complete copy of list1, it re-uses the list2, so that we end up with
two lists sharing a common "tail", as above.

    [a b] -> x; [c d] -> y; x <> y -> z;

This creates two two-element lists, putting pointers to the first in the
valof cell for "x", the second in the valof cell for "y". It then
creates a third list which starts with a *complete* copy of the list
links in the first list (i.e. x) , and then instead of ending the copy
with [], puts a pointer to the first link of the second list, with the
following overall result:

         .===.   .---.---.   .---.--.
        x| *-+-->| a | *-+-->| b |[]|       (Copied to start off z)
         .===.   .---.---.   .---.--.

         .===.   .---.---.   .---.--.
        y| *-+-->| c | *-+-->| d |[]|
         .===.   .---.---.   .---.--.
         .===.   .---.---.   .---.-+-.
        z| *-+-->| a | *-+-->| b | * |
         .===.   .---.---.   .---.--.

Note that the two occurrences of "a" are actually two copies of a
pointer to the very same word "a" in the dictionary. Similarly the two
occurrences of "b". So both of the following are true:

    hd(x) == hd(z),         hd(tl(x)) == hd(tl(y))

Also y == tl(tl(z)) is true.

    [a b] -> x; [c d] -> y; y -> tl(tl(x));

This is similar except that instead of making a copy of the two pairs in
x and making the final link of the COPY point to the list in y, it puts
a pointer to the second list in the back of the last link of x,
producing this:

         .===.   .---.---.   .---.--.
        x| *-+-->| a | *-+-->| b | * |
         .===.   .---.---.   .---.-+-.
         .===.   .---.---.   .---.--.
        y| *-+-->| c | *-+-->| d |[]|
         .===.   .---.---.   .---.--.

-- -- The lack of symmetry between hd and tl

Notice the lack of symmetry between hd and tl. hd(list) is the same
as list(1). But tl(list) is not the same as list(2): it is a list of ALL
remaining elements, or [] if there are not any more.

Similar comments may be made about front and back when applied to lists.

-- Dynamic lists: generators and pdtolist -----------------------------

Pop-11 includes mechanisms for creating and using 'dynamic lists', whose
elements are created as needed by a generator procedure. This is an
example of what is sometimes referred to as "lazy evaluation".

Dynamic lists are created using the (horribly named) pdtolist procedure
(derived from "ProceDure TO LIST"). This procedure takes a "generator
procedure" as argument and produces a dynamic list as result.

-- -- Generator procedures

A generator procedure is a procedure that can be called repeatedly
without any arguments and will produce a new result each time; and if it
ever produces as its result the unique Pop-11 object termin, that
signifies that there are no more items to be generated.

Here is a generator procedure that uses a private list and goes on
forever generating even numbers, i.e. 0, 2, 4, 6, 8, 10, etc.

    define gen_evens() -> next;
        ;;; create a local, constant, private list containing 0
        ;;; the number will be changed each time the procedure is run.
        lconstant store = [0];

        store(1) -> next;
        next + 2 -> store(1);

    gen_evens() =>
    ** 0
    gen_evens() =>
    ** 2
    gen_evens(), gen_evens(), gen_evens() =>
    ** 4 6 8

We can use a procedure like gen_evens to create a conceptually
"infinite" list, thus

    vars gen_list = pdtolist(gen_evens);

-- -- Printing dynamic lists

If you try to print out gen_list, Pop-11 will only show the part of
the "infinite" list that corresponds to how far the generator procedure
has actually got. We can force it to generate the first N additional
items by accessing the first N items of the list:

    gen_list =>
    ** [...]

The dots indicate an unexpanded dynamic list.

    gen_list(1) =>
    ** 10
    gen_list(2) =>
    ** 12

Now look at the list

    gen_list =>
    ** [10 12 ...]

Part of it is "static", or has been "solidified". But part is still
dynamic, waiting to be expanded, as shown by the three dots. We can move
things on:

    gen_list(15) =>
    ** 38

    gen_list =>
    ** [10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 ...]

-- . Using gensym to make a dynamic list

The potential of dynamic lists can be illustrated using the procedure
gensym. This takes a word as input and each time it is invoked it
produces a new word got by appending a number to the word, e.g.

    ;;; Make the gensym library procedure accessible
    uses gensym;
    gensym("cat"), gensym("dog"), gensym("cat"), gensym("dog") =>
    ** cat1 dog1 cat2 dog2

By partially applying gensym to a word we can create a generator. By
applying pdtolist to the generate we make a dynamic list.

    1 -> gensym("pig");     ;;; make sure it starts with pig1, pig2,...

    vars pig_gen = pdtolist(gensym(%"pig"%));
    pig_gen =>
    ** [...]

The three dots show that the dynamic list is still unexpanded.
We can force pig_gen to run the generator procedure three times, by
asking for the third element of the list, after which it will print
out as partially expanded:

    pig_gen(3) =>
    ** pig3

    pig_gen =>
    ** [pig1 pig2 pig3 ...]

To restart gensym, use cleargensymproperty().


    ;;; This will affect the contents of the dynamic list
    pig_gen(4) =>
    ** pig1
    pig_gen(10) =>
    ** pig7
    pig_gen =>
    ** [pig1 pig2 pig3 pig1 pig2 pig3 pig4 pig5 pig6 pig7 ...]

-- . Note that gensym will be replaced after V14.5

From Poplog V14.5, the procedure gensym is superseded by the procedure
gen_suffixed_word, with the same functionality, and the action


is replaced by by


See REF *gen_suffixed_word, after V14.5

-- -- Accessing components of dynamic lists: hd, tl, dest

The procedures front, back and destpair would not work on on a dynamic
list as expected. Instead we need procedures that can check whether a
list is dynamic or not, and if it is, then run the generator procedure
if necessary to get another element of the list, then create a static
initial portion of that list, leaving the generator on the end.

The procedures hd, tl and dest are designed to do exactly that.
Otherwise they work like front, back, and destpair respectively.

    dest([a b c]) =>
    ** a [b c]

So nearly all the general purpose procedures for operating on lists are
implemented using hd and tl and dest rather than front and back and
destpair, so that they can also work on dynamic lists.

An example of a procedure that will NOT work on dynamic lists is
matches. There are also certain "fast" procedures, described in the
files HELP EFFICIENCY and REF FASTPROCS, that operate on static lists
but not on dynamic lists. Their use can lead to obscure errors if you
suddenly start using dynamic lists!

-- . null(list) vs list == []

Another case that has to be handled is the case of a dynamic list that
is empty.

Let's define a procedure that produces nothing but termin.

    define gen_nothing() -> result;
        termin -> result;

    gen_nothing(), gen_nothing(), gen_nothing() =>
    ** <termin> <termin> <termin>

If used to create a dynamic list this will effectively create an
empty list:

    vars nothing_list = pdtolist(gen_nothing);

    nothing_list =>
    ** [...]

Now if you try to tell whether this is an empty list by comparing it
with [], you'll get the wrong result:

    nothing_list == [] =>
    ** <false>

The procedure null, however, recognises both [], and this dynamic
list as empty lists:

    null([a b]) =>
    ** <false>
    null([]) =>
    ** <true>
    null(nothing_list) =>
    ** <true>

And it changes the internal representation of the dynamic list to tell
the Pop-11 print routines that the generator is finished, so that now it
prints AS IF it were the same as []

    nothing_list =>
    ** []

But it is not

    nothing_list == [] =>
    ** <false>

It's a null dynamic list.

So if you are going to sometimes use dynamic lists then define all your
procedures to use hd, tl, and null rather than front, back and == [].

-- -- The representation of dynamic lists

Readers interested in knowing how dynamic lists are actually represented
should read the Poplog file REF LISTS. Essentially they depend on the
fact that if the final pair in the chain of lists contains as its back a
procedure rather than [], and a non-false front, then the list is taken
to be dynamic. However if the generator procedure has already produced
termin, then the representation is changed by adding a pair whose front
is false and whose back is the generator procedure.

We can look at the contents of nothing_list by using the procedure
destpair, which, when applied to a pair, produces its front and its

    destpair(nothing_list) =>
    ** <false> <procedure gen_nothing>

By contrast, the procedure dest, which works on lists which may be

dynamic, and returns the hd and the tl of the list, will complain
about an empty dynamic list:

    dest(nothing_list) =>
    ;;; INVOLVING:  []
    ;;; DOING    :  dest ...

-- -- The uses of dynamic lists

Dynamic lists are often useful for mathematical purposes using number
generators of various kinds. Another use is to represent a stream of
input to the computer. In Pop-11 input devices are often "converted" to
generator procedures (sometimes called "producers") which, each time
they are called produce the next item of input (if it is ready,
otherwise they usually wait).

The Pop-11 compiler, called "compile" (named "popval" in earlier
versions of Pop-11 and Pop-2), is able to take a list of text items
(consisting of words, strings, numbers, and possibly other objects) and
cause them to be compiled into instructions for the computer.

This list is called "proglist" and is described in detail in the files
REF PROGLIST and REF POPCOMPILE. It is possible for the list to be a
simple static list, as in

    compile([3 + 3 => ]);
    ** 6

More usefully, when a file is being compiled the text items in the file
are transformed into a dynamic list, which is then compiled. It would be
possible in principle to read in the whole file and make a huge static
list, then compile that, but usually that's not sensible as a lot of
space will be wasted while the early parts of the file are being

It is also useful when Pop-11 is being used interactively to treat the
terminal as if it were an infinite file of text items. This is done by
creating a dynamic list containing the items that are being typed in.
This is based on a generator procedure that returns an item at a time,
which it obtains from a generator procedure (charin) that returns a
character at a time from the terminal, each time it is applied. You can
test it interactively by giving this command:

    charin(),charin() =>

It will prompt you for input. You can type a letter or number followed
by the RETURN key. It will then print out two numbers, one being the
ascii code for the letter or number, and the second being the ascii code
for a newline, i.e. 10. (There is a separate character repeater for
'raw' mode interaction used by the editor, which does not wait for you
to type RETURN after typing another character.).

The item repeater for interactive Pop-11 is created by applying the
system procedure incharitem to charin, thus:


This creates a new procedure, which is an item repeater. Each time the
item repeater is run it consumes enough characters to make a complete
text item, and it returns that item, and then the next time it is run it
returns the next item, and so on.

The dynamic list constructor pdtolist, can be applied to this item
repeater, and that will create a dynamic list of program text items.
That, in fact, is what proglist is when programs are being compiled
either from a file or from the terminal. I.e.

    pdtolist(incharitem(charin)) -> proglist;

Because proglist is a dynamic list, if the compiler is reading in an
expression of some kind and the user has not finished typing it, the
compiler simply waits till more is typed (every time the user presses
the RETURN key, the items typed so far are made available as an
extension to proglist).

Note that the above is highly modular: instead of compiling from the
current input stream Pop-11 can compile from any sequence of characters,
including the characters stored in a string, as illustrated by the
following command, which uses stringin to turn a string into a
character repeater:

    compile(pdtolist(incharitem(stringin('66*33 =>'))));
    ** 2178

You can experiment with an infinite list connected to the current input
stream as follows:

    vars inputlist = pdtolist(incharitem(charin));

    inputlist =>
    ** [...]

-- . An example of an infinite list of input
This example will work well only in the editor.

The following will prompt for input until you have typed enough for
three full text items. Suppose you respond by typing "the cat" on one
line, followed by RETURN, followed by "on" on the next line:

    inputlist(3) =>
    ** on

You can now print out the current state of inputlist:

    inputlist =>
    ** [the cat on ...]

This will now prompt for two further input items:

    inputlist(5) =>
    inputlist =>

For more information on dynamic lists and the compiler input stream see

For writing interactive programs it is not usually convenient to use
charin and proglist. Generally it is safer for beginners to use the
built in procedure readline, illustrated in TEACH RESPOND, which might
be defined thus:

global vars pop_readline_prompt = '? ';
define readline() -> list;
    lvars item, list,
        procedure rep = incharitem(charin);     ;;; item repeater

    ;;; temporarily change two global variables.
        popnewline = true,  ;;; make newlines recognisable
        popprompt = pop_readline_prompt;

    ;;; Make a list items to next newline
    [% until (rep() ->> item) == newline do item enduntil %] -> list;


;;; Test it
readline() =>
? pretty polly pretty polly
** [pretty polly pretty polly]

'Please say something: ' -> pop_readline_prompt;

readline() =>
Please say something: how are you today?
** [how are you today ?]

In the last example the words after ":" were typed in, and made into a

-- Some procedures for manipulating lists -----------------------------

We have already met some expressions denoting lists. This section
will introduce some of the procedures used for manipulating lists,
including new procedures for creating new lists, or modified versions of
old ones.

-- -- cons, conslist, initl, sysconslist

cons(ITEM, LIST) -> LIST

This is strictly equivalent to ITEM :: LIST. It is included in Pop-11
merely as an analogue for the function CONS in Lisp.

conslist(ITEM1, ITEM2, ..., ITEMN, N) -> LIST

Returns a list constructed from the top N items on the stack. E.g.

    conslist("a", "b", [c d], 3) =>
    ** [a b [c d]]

    conslist(#| vars i; for i from 2 to 13 do i*i endfor|#) =>
    ** [4 9 16 25 36 49 64 81 100 121 144 169]

initl(N) -> LIST

This constructs a list of empty lists, of length N. E.g.

    initl(6) =>
    ** [[] [] [] [] [] []]

sysconslist() -> LIST

Collects all items placed on the stack since the last stackmark, into a
list. This is used by Pop-11 list constructor syntax. E.g.

    [% 1, 2, 3, 4 %]

    is equivalent to

    popstackmark, 1, 2, 3, 4; sysconslist();

See REF LISTS, for a description of sysconslist_onto(LIST_1), which
is used when ^^ precedes the last item in a list expression.

-- -- allbutfirst, allbutlast

allbutfirst(N, LIST) -> SUB_LIST
allbutlast(N, LIST) -> SUB_LIST

These two can be used to "chop off" an initial or final segment of a
list, of length N.

    allbutfirst(2, [a b c d e]) =>
    ** [c d e]
    allbutlast(2, [a b c d e]) =>
    ** [a b c]

In the first case, the result will share list links with the input list.

-- -- dl or explode, destlist

The procedure dest (or destpair) when given a list puts its and its tail
on the stack. Sometimes it is necessary to put all the elements of a
list on the stack, e.g. in order to use them to make a copy of the
original list. The procedure explode will do this.

    explode([a b [c d] e f]) =>
    ** a b [c d] e f

However, explode works on a variety of different structures, including
words, strings, vectors and lists. A version specific to lists is also
available, known as "dl".

    dl([a b [c d] e f]) =>
    ** a b [c d] e f

destlist is similar, except that it also returns the number of
items in the list. It's the reverse of conslist.

    destlist([a b [c d] e f]) =>
    ** a b [c d] e f 5

-- -- applist, maplist, ncmaplist

Both of these take a list and a procedure and apply the procedure to
every element of the list. The only difference is that maplist makes
a list of everything put on the stack.

    applist([1 2 3 4 5], nonop +(% 10 %)) =>
    ** 11 12 13 14 15

    maplist([1 2 3 4 5], nonop *(% 10 %)) =>
    ** [10 20 30 40 50]

ncmaplist, non-constructive maplist, is like maplist, except that it
re-uses the links of its first argument.

-- -- recursive_front

This procedure can be applied to any object. If it's a list or pair, it
repeatedly applies the procedure front, until a non-pair is found, and
returns that as its result. This is useful for digging out items deeply
embedded in lists.

    recursive_front([[[[[a]  b ] c]] d]) =>
    ** a

-- -- expandlist

expandlist(LIST) -> LIST

Returns LIST unchanged, unless the list is dynamic, in which case it
runs the generator procedure to completion and makes the list static. It
will loop forever if the list is of infinite length.

-- -- rev and ncrev

rev(LIST) -> LIST

rev, when given a list, produces a new version which has the same
elements in reverse order:

    rev([1 2 3 4]) =>
    ** [4 3 2 1]

The procedure does not alter the order of elements in the original list:
that is left unchanged.

ncrev(LIST) -> LIST

This is like rev, except that it re-uses the list links of the original
list, so that it does not use any new store. This can reduce garbage
collections but is dangerous if there is any risk that something else
was dependent on the original list surviving unchanged.

    vars list1 = [a b c], list2 = ncrev(list1);
    list2 =>
    ** [c b a]
    list1 =>
    ** [a]

-- -- setfrontlist

setfrontlist(ITEM, LIST_1) -> LIST_2

Returns LIST_2 formed by moving the ITEM to the front of LIST_1, or
adding the ITEM if not already present. (This is used by the
editor VED whenever a file in vedbufferlist becomes "current".)

-- -- sort and syssort

sort(LIST_1) -> LIST_2

The list should contain either numbers only or words only or strings
only or a mixture of words and strings. Any other items will produce an
error. It returns a list of sorted items. If it contains numbers only,
then the result is equivalent to

    syssort(LIST_1, nonop <)


    syssort(LIST_1, alphabefore)

    sort([the cat sat on the mat]) =>
    ** [cat mat on sat the the]

    sort([ 111 222 33 ]) =>
    ** [33 111 222]

syssort(LIST, P) -> LIST
syssort(LIST, BOOL, P) -> LIST

The first argument is a list, the last argument is a procedure which
takes two items and returns a boolean result (e.g., nonop < for numbers
or -alphabefore- for string and words, etc). The items in the list are
compared using the procedure and the result is a list with elements
sorted in accordance with the procedure. If the optional boolean
argument is <false>, then the sorting is non-copying, and merely
re-arranges the elements of the argument list, like ncrev. A merge sort
algorithm is used. Example

    syssort([[the] [cat] [sat] [on] [the] [mat]],
                procedure(l1, l2);
                    alphabefore(hd(l2), hd(l1))
                endprocedure) =>
    ** [[the] [the] [sat] [on] [mat] [cat]]

-- -- last, lastpair

last finds or updates the final element of a list:

    last([cat dog mouse]) =>
    ** mouse

    last([[tom brown] [mary green] [suzy white]]) =>
    ** [suzy white]

Note that in the latter example, the procedure LAST was applied to a
list of lists, and produced as its result a list, i.e. the last

    vars list = [a b c d];
    list =>
    ** [a b c d]

    999 -> last(list);
    list =>
    ** [a b c 999]

NOTE: last can also work on words, vectors and strings, though the
updater cannot be used with words.

lastpair(LIST) -> PAIR
PAIR -> lastpair(LIST)

Returns or updates the last PAIR of the list LIST, i.e. the last link in
the chain. LIST cannot be null. Having a pointer to the last pair of a
list, instead of the last item in the list makes various things much
simpler. For example, here is one way to define a queue:

    vars queue = [a b c d], queue_start = lastpair(queue);

    queue_start =>
    ** [d]

To add something to the queue at the far end, do this:

    conspair("e", []) -> back(queue_start);
    back(queue_start) -> queue_start;
    queue =>
    ** [a b c d e]
    queue_start =>
    ** [e]

Remove something at the left end:

    tl(queue) -> queue;
    queue =>
    ** [b c d e]

-- -- oneof, shuffle

oneof applied to a list chooses an element at random. Thus using it
repeatedly on the same list may or may not produce different results:

    repeat 4 times
        oneof([ [you are gorgeous]
                [everyone loves you]
                [how masterful you are]
                [you are quite stunning]
            ]) =>
    ** [you are quite stunning]
    ** [everyone loves you]
    ** [you are quite stunning]
    ** [you are quite stunning]

shuffle(LIST_1) -> LIST_2

Returns a copy of its argument with the elements randomly re-ordered.
It uses -oneof-.

    repeat 4 times shuffle([a b c d e]) => endrepeat;
    ** [b d c a e]
    ** [b d a c e]
    ** [b e c d a]
    ** [d c e b a]

Since oneof and shuffle are defined in terms of random, illustrated
previously, (in Chapter 5) their behaviour can be controlled by
assigning to the variable ranseed, as in the case of random.

-- -- delete, ncdelete

delete produces copies of a list which do not contain a certain element.
It has several different formats

delete(ITEM, LIST_1)          -> LIST_2
delete(ITEM, LIST_1, EQ_P)    -> LIST_2
delete(ITEM, LIST_1, N)       -> LIST_2
delete(ITEM, LIST_1, EQ_P, N) -> LIST_2

These all delete occurrences of ITEM from LIST_1, producing a new
list LIST_2 (which shares the largest possible trailing sublist of
the original).

The parameter EQ_P is an optional argument; if supplied, it must be a
procedure of the form


EQ_P is then used to compare ITEM against each list element, and those
for which it returns true are deleted. If not supplied EQ_P defaults to
nonop = (i.e. structure equality). (See HELP EQUAL)

N is a second optional argument: if supplied, it is an integer >= 0
which specifies how many matching elements should be deleted (e.g, if 1
then only the first occurrence will be removed). If not supplied, all
occurrences are deleted.

For example,

    delete(1, [1 2 3 4 5 6 1 9 8]) =>
    ** [2 3 4 5 6 9 8]
    delete(1, [1 2 3 4 5 6 1 9 8], 1) =>
    ** [2 3 4 5 6 1 9 8]

    delete("cat", [mouse cat dog flea], nonop == ) =>
    ** [mouse dog flea]

    delete('cat', ['mouse' 'cat' 'dog' 'flea'], nonop == ) =>
    ** [mouse cat dog flea]

    delete('cat', ['mouse' 'cat' 'dog' 'flea'], nonop = ) =>
    ** [mouse dog flea]

(The difference between the last two is due to the fact that two strings
can be "=" but never "==").

ncdelete(ITEM, LIST_1)          -> LIST_2
ncdelete(ITEM, LIST_1, EQ_P)    -> LIST_2
ncdelete(ITEM, LIST_1, N)       -> LIST_2
ncdelete(ITEM, LIST_1, EQ_P, N) -> LIST_2

Non-constructive delete. Same as delete, but does not copy list pairs
that need to be changed, and thus (may) destructively change the
original list. The result LIST_2 will be == to LIST_1 unless there are
one or more leading matching occurrences of ITEM that are deleted.

-- -- flatten and flatlistify

flatten(LIST_1) -> LIST_2

Explodes LIST_1 and all sub-lists in LIST_1. I.e. it converts a tree
into "flat" list of elements at the "fringe" of the tree.

    flatten([ a [ b c [d e] [f]] g [ h [i] ] j]) =>
    ** [a b c d e f g h i j]

flatlistify(STRUCT) -> LIST

Given a structure, STRUCT, made of lists and/or vectors embedded
arbitrarily, -flatlistify- will return a list, LIST. The result
contains all the words needed to create a list isomorphic with the
original one, if given to compile.

    flatlistify([ a [ b c [d e] [f]] g [ h [i] ] j]) =>
    ** [a [ b c [ d e ] [ f ] ] g [ h [ i ] ] j]

NB. That is a 20 item list containing "a", "[", "b", etc.

-- -- length and listlength

These can both be applied to a list and will return the number of
elements. The difference is that length can be applied to many other
types of objects besides lists, e.g. strings, vectors.

    listlength([a [ b c d] e ]) =>
    ** 3
    listlength({ a b c }) =>
    ;;; INVOLVING:  {a b c}

-- -- copy, copylist, copydata, copytree

The procedure copy when given a Pop-11 data-structure returns a copy
that is = to the original. In the case of lists, it merely copies the
first link, returning a new pair with the same front as the old one and
the same back as the old one. This means that the two lists share tails.

    vars list1 = [a b c d], list2 = copy(list1);
    list2 =>
    ** [a b c d]

    33 -> list1(3);
    list1 =>
    ** [a b 33 d]
    list2 =>
    ** [a b 33 d]

An assignment to the first element of a will not affect list2, and
vice-versa, but replacing any other element of either will affect the

In order to avoid this what is needed is a complete copy of the original
list, made entirely of new list links. The procedure copylist is
provided for that purpose. The above example may be tried with copylist
instead of copy.

Even if copylist did not exist, there are several ways it could be
defined by users, including the following:

    define copylist1(list);
        maplist(list, identfn)

    define copylist2(list);
        [% applist(list, identfn) %]

    define copylist3(list);
        [% explode(list) %]

    define copylist4(list);
        conslist(#| explode(list) |#)

    define copylist5(list);

copytree(LIST_1) -> LIST_2

This makes a list, LIST_2, which is a copy of LIST_1. Any elements of
LIST_1 which are themselves lists are recursively copied.

copydata is a generalisation of copytree that works on arbitrary
datastructures. Thus if a list contains vectors containing lists, etc.
then, in order to obtain a completely new copy use copydata, not

-- -- subscrl, fast_subscrl

subscrl(N, LIST) -> ITEM
ITEM -> subscrl(N, LIST)

Returns or updates the N-th element of the list LIST (where  the first
element is has subscript 1). Because this procedure is the -class_apply-
procedure of pairs, this  can also be used in  the form

    LIST(N) -> ITEM
    ITEM -> LIST(N)

fast_subscrl(N, LIST) -> ITEM
ITEM -> fast_subscrl(N, LIST)

This is like subscrl, but does not check argument data types, and does
not expand dynamic lists.

-- Predicates on lists ------------------------------------------------

-- -- atom, islist, ispair, islink, null

atom(ITEM)-> BOOL

This will be true for all items except pairs, and false for pairs.
This is therefore equivalent to not(ispair(ITEM)).

islist(ITEM) -> BOOL

This is intended to recognise the empty list [], dynamic lists, or
ordinary lists. However, for efficiency it does not check that all the
links in the chain have lists in their tail, and so it can be fooled.

    islist(conspair(3,4)) =>
    ** <false>
    islist(conspair(2,conspair(3,4))) =>
    ** <true>

The latter is not really a list because it does not end in []. A "proper"
list recogniser would be something like this

    define is_really_list(item);
        if islist(item) then
            if null(item) then true
            elseif atom(item) then false
            else is_really_list(tl(item))

    is_really_list(conspair(2,conspair(3,4))) =>
    ** <false>
    is_really_list(conspair(1, conspair(2,conspair(3,4)))) =>
    ** <false>
    is_really_list(conspair(1, conspair(2,conspair(3,[])))) =>
    ** <true>

The above definition could be optimised slightly by checking for dynamic
lists directly on the basis of the definition of dynamic lists instead
of using islist to do that.

ispair(ITEM) -> BOOL

A recogniser for pair datastructures.

islink(ITEM) -> BOOL
This is equivalent to
        ispair(item) and not(null(item))

null(ITEM) -> BOOL

This recognises empty lists, including empty (exhausted) dynamic lists.
If ITEM is a dynamic list that has not been expanded it will expand it
by one step, so that front and back can be used on that link instead of
hd and tl, in order to avoid repeating the test for a dynamic list.

-- -- isdynamic

isdynamic(ITEM) -> P

Recognizes dynamic lists. If ITEM is a dynamic list it returns the
generator procedure, otherwise it returns false.

-- -- member, lmember

member(ITEM, LIST) -> BOOL

This procedure returns true if ITEM is an element of the list LIST,
otherwise false, equality being determined with the operator "=".

lmember(ITEM, LIST) -> SUB_LIST
  This is like member except that
    1. The test for equality is "==" not "="
    2. If ITEM is found to be == to an element of the list, then the
       procedure returns the trailing portion of LIST starting  with
       that element

    lmember("on", [the cat sat on the black mat]) =>
    ** [on the black mat]

-- -- user defined predicates

In a language like Pop-11 it is very easy to define additional list
processing procedures. For example, a slight variant of maplist would
take a list and two procedures and return a list of two element lists:

    define map2list(list, proc1, proc2) -> list;
            lvars item;
            for item in list do [%proc1(item), proc2(item)%] endfor
        %] -> list

    map2list([1 -2 3 -4 5 -6], identfn, negate) =>
    ** [[1 -1] [-2 2] [3 -3] [-4 4] [5 -5] [-6 6]]

A procedure to merge two lists by interleaving elements:

    define merge(list1, list2) -> list;
        lvars item1, item2;
            for item1, item2, in list1, list2 do item1, item2, endfor
        %] -> list

    merge([1 2 3 4], [a b c d]) =>
    ** [1 a 2 b 3 c 4 d]

Note if either list has more elements than the other this procedure will
ignore trailing items in the longer list.

The variety of possible user defined list manipulating procedures
is endless. In Poplog Pop-11 several examples can be found in the
library directories, i.e. $usepop/pop/lib/auto and $usepop/pop/lib/lib

-- Iterating on lists -------------------------------------------------

The main Pop-11 iteration constructs were given in an earlier chapter.
Here we give a number of examples of iteration involving lists. Using
iteration we can easily perform a subset of the operations previously
illustrated using recursion. Iteration is sometimes easier to
understand, and can be more efficient (i.e. easier for the computer). It
has the disadvantage that you cannot use TRACE to make explicit what is
happening when the program runs.

There are many different forms of iteration over lists. The simplest
is a serial scan over the elements of the list. Here is a new
definition of TRAVERSE, using an UNTIL loop.

   define traverse(list);
      until list = [] do
        hd(list) =>
        tl(list) -> list
    traverse([a b c d]);
    ** a
    ** b
    ** c
    ** d

-- Using for ... in ... do .... with lists ----------------------------

E.g., to add all the numbers in a list

    define addall(list) -> total;
        lvars x, total = 0;
        for x in list do
            x + total -> total

    addall([3 5 7 9]) =>
    ** 24

-- -- Using for inside [% ..... % ]

We could use the FOR construct to define a procedure like delete. We use
a local variable, say 'x', to denote successive elements in a list. If
the element is not the same as the item to be deleted, then leave the
element on the stack. If all this is done inside the list brackets,
using '%', then the items left on the stack will be made into a list.

    define new_delete(item, list) -> result;
        lvars x;
        [% for x in list do
             unless x = item then x /* left on stack */  endunless;
        %] -> result

    new_delete([a b], [[1 2] [3 4] [a b] [c d]]) =>
    ** [[1 2] [3 4] [c d]]

-- Iterating over two or more lists -----------------------------------

if list1, list2, list3, ... listN, are lists, then it is possible
to use N variables and iterate over all the N lists at once, thus:

    for item1, item2, ... itemN in list1, list2, ... listN do
        <instructions using item1, item2, ...itemN >

The instructions will be obeyed N times, each time taking one item from
each list. If any lists are shorter than the shortest list, then their
trailing items will be ignored.


    vars item1, item2, item3;
    for item1, item2, item3 in
        [the every each all some],
        [men pig cow cars],
        [stank slept fell ate]
        [^item1 ^item2 ^item3] =>
    ** [the men stank]
    ** [every pig slept]
    ** [each cow fell]
    ** [all cars ate]

-- Iteration vs Recursion ---------------------------------------------

Instead of using FOR, it is always possible to recurse on the TL of
the list. The recursive technique has the great advantage that
successive calls of the procedure can be TRACEd. Constructions
utilising loops (REPEAT, WHILE, UNTIL, FOR) do not admit of easy
monitoring through TRACE.

Often, however, it is very quick and easy, using VED, to temporarily
alter the definition so that each time round the loop the procedure
prints something (e.g. the value of 'x' in the last example). In a
system such as Poplog altering and recompiling a procedure is so fast
that temporary changes for debugging purposes can be very much more
useful than in a conventional language.

Moreover, if a looping construct is used, then the list brackets [ ... ]
( or the vector brackets { ..... } ) can be used to collect together
all the items left on the stack into a list, if that is desired. (This
is one of the features of Pop-11 not available in LISP, which uses
alternative mechanisms.) Compare the following two different definitions
of procedures equivalent to maplist.

    define maplist1(list, proc);
        if null(list) then []
            proc(hd(list)) :: maplist1(tl(list), proc)

    define maplist2(list, proc);
        lvars item;
        [%for item in list do proc(item) endfor%]

The former uses the so-called "functional" style of programming.
However, I have no doubt that the second is easier to understand and
that programmers using the second style will make fewer mistakes.

Another example: here are two ways make a list of all the non-empty
tails of a list:

    define all_tails1(list);
        if null(list) then []
            list :: all_tails1(tl(list))

    define all_tails2(list);
        lvars tail;
        [%for tail on list do tail endfor%]

    all_tails1([ a b c d ]) =>
    ** [[a b c d] [b c d] [c d] [d]]

An advantage of the recursive version is that when it is traced it shows
clearly what is going on, whereas extra printing instructions have to be
put into programs using for ... endfor to show what is happening on each


    trace all_tails1;

then redo the above command. (See TEACH TRACE)

Using the integrated editor VED makes it very quick and easy to add or
remove printing instructions and recompile, so the difference in
traceability is not very great.

-- Exercises ----------------------------------------------------------

What should the following print out? Which of the expressions produce
words, and which produce lists? (Work out your won answers and write
them down before running the commands in Pop-11).

    last(hd([[tom brown] [mary green] [suzy white]])) =>

    last(last([[tom brown] [mary green] [suzy white]])) =>

    hd(hd([[tom brown] [mary green] [suzy white]]))=>

    hd(tl([[tom brown] [mary green] [suzy white]]))=>

    tl(hd([[tom brown] [mary green] [suzy white]]))=>

    tl(tl([[tom brown] [mary green] [suzy white]]))=>

-- More exercises on lists --------------------------------------------

    1. Write down some examples of expressions denoting:
        a list of numbers
        a list of words
        a list of numbers and words
        a list of lists of words
        a list of lists of numbers

    2. What is denoted by each of the following:

        hd( [ once upon a time ] )
        last( [ mary had a little lamb ] )
        hd( [ [mary had] [a little lamb] ] )
        rev( [ mary had a little lamb ] )
        last( hd( [ [ mary had ] [ a little lamb ] ] ) )
        delete( "cat", [mouse pig cat dog cat] )
        delete( "cat", [mouse pig cat dog cat], 1 )

    3. What does oneof do?
        NB. Your answer should take the form:
        ONEOF is a procedure which takes one argument (or one input
        item) and produces one result. The argument must be a ....
        The result will be .....

    4. What does delete do?
        (I.e. how many arguments does it take? What sorts of things
        can they be? How many results does it produce? How is the
        result related to the arguments?)

    5. What do the following denote:

        delete(3, rev([ 1 2 3 4 5]) )

        rev( delete( "little", [mary had a little lamb] ) )

-- Exercises on the meaning of the single and double up-arrows

Here are some puzzles to test your understanding. If we assign [a b] to
x, thus:

    [a b] -> x;

then the list [^^x c] is [a b c] and the list [^x c] is [[a b] c].

What values would have to be assigned to x, y etc so that the
following were true (some are impossible - which ones?):

    [^^x ^^x] = [a b a b]         ;;; answer is [a b] -> x;
    [^x ^^y] = [[a b] b c]        ;;; answer is [a b] -> x; [b c] -> y;
    [^^x mother ^^y] = [i love my mother]
    [the height of steve is ^^x] = [the height of steve is 70 inches]
    [every ^^x is a ^^y] = [every fire man is a civil servant]
    [every ^x is a ^y] = [every fire man is a civil servant]
    [^^x i ^^y you] = [sometimes i hate people like you]
    [[^x ^^y] ^^z] = [[a b c d]]
    [^x [^^y] ^z] = [[a b] [c d] [e f]]
    [i saw ^^n ships] = [i saw 3 ships]
    [i saw ^n ships] = [i saw 3 ships]
    [i ^x you] = [i hate computers]
    [^x ^y ^z] = [i hate computers]

Use the computer to check your answers. For example, if you think
the answer to the fourth one is:

    [6 feet] -> x;

then try printing the list:

    [the height of steve is ^^x] =>

Later you will see that the procedure MATCHES could be used to find
the answers.


We have already seen how the equality symbol "=" can be used to
compare two lists. The operation MATCHES provides more sophisticated
facilities for matching lists against a partially specified pattern.

(In Poplog version 15.5, the equality operator "=" was extended to
include this matching capability, based on a new kind of
matchvar data-type. See the section on Patterns in HELP EQUAL).

The pattern matcher makes it possible to express some complex ideas in a
way that is both much clearer and easier to read than normal procedural
formulations, and also easier to get right first time when programs are
being developed. So for many kinds of programs it can substantially
speed up the development time. There are additional facilities based on
the pattern matcher in the Pop-11 database, and these add to the power
of the language for solving quite complex problems, including developing
expert systems.

The matcher can be used in several different formats. The most common is
an expression of this form, which always evaluates to TRUE or FALSE,
depending whether the list does or does not match the pattern.

    <list> matches <pattern>

;;; Simple examples, using the matcher like an equality tester:

    [a b c d] matches [a b c d] =>
    ** <true>

    [a b c d] matches [d b c a] =>
    ** <false>

The use of pattern elements allows the matcher to perform more complex
comparisons. The pattern matcher assumes that information is stored in
lists whose contents can be searched by specifying a pattern (a sort of
template list) containing special pattern elements described below. Some
of these pattern elements are used to match individual items in a list.
Others can match arbitrarily long subsets of lists and are called
"segment" pattern elements. We illustrate the power of segment pattern
elements first.

-- -- The anonymous segment pattern element: "=="

We start by illustrating the use of the segment pattern element "==" to
create templates that can be used to match lists.

The symbol "==", which we have previously met as an equality symbol
can be used in patterns with an entirely different function, to
represent an unspecified number of unknown elements. For example
both the following complex expressions denote TRUE

    [who is the father of joe] matches [who is == ]

    [where is the father of joe] matches [where is == ]

The following also denote TRUE:

    [you are my favourite programming pupil] matches [== pupil]

    [the little dog laughed to see such fun] matches [== dog ==]

-- Using matches to define a procedure --------------------------------

MATCHES is a Pop-11 procedure which takes two arguments, a list and a
pattern (which is also a list), and produces one result, a boolean, i.e.
either TRUE or FALSE. The name of the procedure "matches" is defined to
be an infix operator (like "=", "+", "<>" and "::") so that it can be
used in the form

    list matches pattern

It takes two arguments, both lists, and returns one result, a
boolean. The first argument is called the DATUM (what is given) and
the second the PATTERN, against which the datum is to be compared.

The pattern may contain special pattern elements, of which "==" is a
simple example. Other types of pattern elements are explained below.
Notice the asymmetry: the pattern must be the second argument, never the

To illustrate, here is a procedure which uses MATCHES to decide
whether a question requires a person or a place as its answer:

    define type_of_answer(list) -> type;
        if     list matches [who is ==] then
            "person" -> type
        elseif list matches [where is == ] then
            "place" -> type
            "undef" -> type

The procedure type_of_answer takes as its input a list, and produces
a word as its result. The word is one of "person" "place" "undef".
Notice the use of the multi-branch conditional form:

    if condition1 then
    elseif condition2 then
        default action

An expression using "matches" can be used as a condition because it
always produces a boolean result. We can test the above definition thus:

    type_of_answer([who is your father]) =>
    ** person

    type_of_answer([where is your father]) =>
    ** place

    type_of_answer([is Joe your father]) =>
    ** undef

"undef" is a word often used in in Pop-11 to indicate something

Of course, this definition is not at all adequate to recognising
requests for information about persons or places, e.g.

    type_of_answer([where was joe born]) =>
    ** undef

The matching procedure MATCHES is used by the database procedures
ADD, REMOVE, PRESENT, LOOKUP, and FLUSH and the database looping
constructs FOREACH and FOREVERY, about which more is said below. These
provide very useful problem-solving tools for both AI programming and
other kinds of programming requiring manipulation of complex, changing

-- Exercise ---------------------------------------------------

Using the previous definition as a model, define a procedure called
FRIENDLY, which takes a list of words as input, and produces a result
which is TRUE, or FALSE or UNDEF. The result should be TRUE if the list
contains the words 'LIKES YOU' and FALSE if the list contains the words
'HATES YOU', and UNDEF if it contains neither. The definition can start:

    define friendly(list) -> result;

Hint: you'll need to use "==" as a pattern element more than once in
the same pattern.

You may test your definition with commands like:

    friendly([everybody hates you today]) =>
    friendly([father christmas likes you ]) =>
    friendly([I can not bring myself to like you]) =>

What results should these print out?

-- Use of the matcher to extract the contents of a list ---------------

In the previous uses of the matcher with "==" the portion of the list
that corresponded to "==" was ignored. We might want to revise the above
procedure so that it extracted that portion and returned it as a result.
For that we use a "segment variable" pattern element, in which a
variable name is preceded by "??". The use of "??" indicates that the
variable should match an arbitrary number of items in the datum, and if
the whole match is successful a list containing those items should be
assigned to the variable. Here is an example, in which we change the
above procedure to return two results, the type of question, and the
contents of the question. Note that we have to use "vars" to declare a
variable as a pattern variable:

    define type_of_answer(list) -> (type, contents);

        vars remainder;

        if     list matches [who is ??remainder] then
            "person" -> type;
            remainder -> contents;
        elseif list matches [where is ??remainder ] then
            "place" -> type;
            remainder -> contents;
            "undef" -> type;
            [] -> contents;

This can now be tested:

    type_of_answer([why can pigs fly]) =>
    ** undef []

    type_of_answer([who is the murderer]) =>
    ** person [the murderer]

    type_of_answer([where is the murderer]) =>
    ** place [the murderer]

NOTE: if you have obtained the Birmingham university extensions to the
pattern matcher you can use the pattern prefix "!" to convert pattern
variables to work with lexically scoped identifiers. See the 1999
Preface to the Third edition of this Primer. At some stage the examples
in this chapter using "?" and "??" in patterns should be rewritten to
use the pattern prefix.

-- The use of "?" variables -------------------------------------------

The variable preceded by "??" in the above example matched a segment of
the list. We can also use a variable to match a single element of a
list, and have that element assigned as its value. For example, here is
a way of getting the third element of a list assigned to the variable
"item". We use "=" as an anonymous pattern element to match exactly one
element of the datum without saving the value and "?item" to match
one element and save the value in the variable item.

    vars item;
    [ the cat sat on the mat] matches [ = = ?item ==] =>
    ** <true>

    item =>
    ** sat

Here we use the matcher to extract the third and fourth elements of a

    vars third, fourth;
    [the cat sat on the black mat] matches [= = ?third ?fourth ==] =>
    ** <true>

    third =>
    ** sat
    fourth =>
    ** on

-- -- Example: Using the matcher to define next_item

Consider how to define a procedure that searches down a list looking for
a given item, and if it finds it returns the next item. You could write
that using normal list processing procedures as follows:

    define next_item(item, list) -> next;
            if list = [] then
                false -> next;
            elseif hd(list) = item then
                ;;; found the target, get the next item and stop
                hd(tl(list)) -> next;
                ;;; move one step down the list.
                tl(list) -> list;

Here is a version using the pattern matcher.

    define next_item(item, list) -> next;
        vars found;  ;;; this is to be used as a pattern element

        if list matches [ == ^item ?found ==] then
            found -> next
            false -> next

Note that we use "^item" as explained previously to insert the value of
the variable item in the pattern. This means that instead of our
programs always having fixed patterns they can have dynamically
constructed patterns.

Now test the procedure

    vars person = [name sue age 30 job teacher home york];
    next_item("age", person) =>
    ** 30
    next_item("home", person) =>
    ** york
    next_item("height", person) =>
    ** <false>

That example should illustrate how much easier it is to use the matcher
than ordinary list processing in such cases. Programs using the standard
list processing method will run faster, however. If that is important,
program using the matcher can be "translated" after they have been

-- -- Exercise: define previous_item

Using the above example as a template produce a definition of a
procedure called previous_item that behaves thus:

    vars person = [name sue age 30 job teacher home york];
    previous_item(30, person) =>
    ** age
    previous_item("york", person) =>
    ** home
    previous_item("height", person) =>
    ** <false>

"">-- The matcher arrow "-->" --------------------------------------------

The matcher arrow is often very useful when you are sure two things
will match, but you want to use the matcher to examine the contents
of one of them. That way you don't use a conditional expression of the

    if ... matches ... then ....

Instead we use the matcher arrow "-->". "-->" should not be confused
with "->". The latter is the assignment arrow.

The infix operation "-->" could have been defined thus:

    define 8 datum --> pattern;
        unless datum matches pattern then
            mishap('NON MATCHING ARGUMENTS FOR -->',[%datum,pattern%])

The '8' in the procedure heading indicates that an infix operation
of precedence 8 is being defined.

This definition looks as if it doesn't do anything when the datum
matches the pattern. We shall see that, on the contrary, it can be
used to 'decompose' a list.

"">-- -- Examples of the use of "-->"

The simplest use of '-->' is to check that a list has a certain format:

    list --> [junction == ];

checks that LIST starts with "JUNCTION". If not, an error occurs.

        [a b c d] --> [junction ==];

        ;;; INVOLVING:  [a b c d] [junction ==]
        ;;; DOING    :  --> compile

The operation --> can also be used to decompose a list, i.e. to assign
some of its components to variables.

    vars first, second, rest;
    vars list = [dogs like wagging their tails];

    list --> [?first ?second ??rest];
    first =>
    ** dogs
    second =>
    ** like
    rest =>
    ** [wagging their tails]

That would have caused an error if LIST had had fewer than two elements.
Since there are at least two elements, it gives FIRST the first element,
as its value, SECOND the second element, and REST a list containing all
the remainder.

Here's another example.

    vars first, second, rest;

    [mary had a little lamb] --> [?first ?second ??rest];

    first =>
    ** mary

    second =>
    ** had

    rest =>
    ** [a little lamb]

Notice the different effects of "?" and "??". The former means, roughly
"match ONE element", the latter means, roughly "match any number of
elements". The use of "??" and "==" can mean that there are alternative
ways of matching a list against a pattern. In that case the matcher will
find only one of them. Which one it finds is not defined. The Birmingham
ftp directory has a library called "doesmatch" that finds all the
possible matches.

-- Findroom revisited -----------------------------------------

We can illustrate the use of the matcher to simplify the definition
of a searching procedure, by redefining the procedure 'findroom'
introduced in chapter 1, and defined thus:

    define findroom(name, list_of_lists) -> data;
        ;;; search list_of_lists for one starting with name

        for data in list_of_lists do
            if data(1) = name then
                return();       ;;; i.e. stop the procedure

        ;;; produce a mishap message
        mishap('DATA NOT FOUND', [^name ^list_of_lists])

Compare this with the following:

    define findroom(name, list) -> data;
        vars len, breadth, height;  ;;; pattern variables

        if list matches [ ==  [^name ?len ?breadth ?height] == ]
            [^name ^len ^breadth ^height] -> data;
            mishap('DATA NOT FOUND', [^name ^list])

The line

        if list matches [ == [^name ?len ?breadth ?height] == ]

runs the operation called 'matches' with two inputs, the value of the
variable 'list', and the pattern on the right, which instructs the
matcher what to look for in the list. It says, look for any number of
elements (matched against "=="), then a list starting with the given
name and containing three other things, followed by any number of
elements (matched against "==" again).

-- Setting a value ("?") vs Using a value ("^")

Notice the difference between "?" and "^" here.  The searched-for
information is represented by the list

    [^name ?len ?breadth ?height]

where the symbol "^" says that the given name must be found. "^" can be
read as 'use the value of', whereas the occurrences of "?" can be read
as 'set the value of'. I.e. the three variables will be given values
depending on what numbers are found after the name, once the list with
the required name is found. If we had used "?name" instead of "^name",
then ANY name would have been accepted.

If the MATCHES operation produces the result TRUE, having found what is
required then the instruction after 'then' is obeyed, which ensures that
the output local 'data' has an appropriate value, to be returned as the
result of the procedure.

If MATCHES cannot find what is required in list, then it produces the
result FALSE, and the instruction after 'else' is obeyed, causing an
error message to be printed out.

Using the fact that "-->" will cause an error when a match fails, we
could adopt the even shorter definition:

    define findroom(name, list) -> data;

        ;;; Use vars for pattern variables (with "?")
        vars len, breadth, height;

        list --> [ ==  [^name ?len ?breadth ?height] == ];

        [^name ^len ^breadth ^height] -> data;

-- List pattern matching --------------------------------------

We now provide a more general motivation for the pattern matcher,
and give a complete account of its operation.

If we wish to search down a list for an item we can use a test something

   item = hd(list)

to accomplish this. But list representations of more complex situations
do not exhibit their significant features in terms of single items
considered in isolation. Rather the norm is one of a context or
co-occurrence of elements. Thus we are much more likely to want to know
whether a list contains two designated elements occurring in a
particular order, or even whether it satisfies some rather more complex
condition. E.g. does the sentence start with a noun phrase? For now we
consider only the relatively simple cases.

Supposing we have this list

   [a b c d e] -> x;

In some problem we might wish to test might be to establish whether it
contains "b" and "d" occurring in that order. Now

    member("b",x) =>
    ** <true>
    member("d", x) =>

tell us that both are present i.e.

    member("b", x) and member("d",x) =>
    ** <true>

but we know nothing of their relative positions in x nor indeed of
their intervening or surrounding context.

We can capture this ordering of "b" and "d" for example:

    x(1) == "b" and x(2) == "d"

which specifies that "d" should immediately follow "b: in the list. In
fact the relationship that does obtain in X has the form

    x(2) == "b" and x(4) == "d"

In this way we can specify any arbitrary patterning of elements in a
list structure. It will however  be very tedious to try all possible
combination of pairs of successive numbers. The situation gets even
worse if you merely want to test whether "d" occurs SOMEWHERE to the
right of "b", although you do not mind where exactly.

This need to be able to give a more complex specification of the
structure of a list is met by the procedure MATCHES that tests a given
list for the presence of some specified pattern.

-- Describing the shape of a list pattern ---------------------

The B, D example is of course but one of an infinite variety of
patternings that we might want to look for. So our specification of
a pattern has to be couched in a suitably descriptive language. The
pattern for 'B immediately followed by D' would be:

    [== b d ==]

But the 'B followed somewhere by D' pattern would be specified like

    [== b == d ==]

Where '==' denotes any number of list elements (including no
elements). Thus all of these lists should meet that specification:

    [a b c d e]
    [b d]
    [b a a c d f]

To test a given list, say X, for presence of this specified pattern
we'd call MATCHES like this

    x matches [== b == d ==] =>
    ** <true>

What result would you expect from the following:

    x matches [a == e] =>
    x matches [a == d == e] =>

The pattern specification we've adopted clearly admits of a lot of
variation in x - it's a rather sloppy fit: and often that is a useful
way of representing generality.

There are a number of ways in which we can tighten it up, when required.
We might for example want just one intervening element between B and D:

    x matches [== b = d ==] =>
    ** <true>

These two symbols == and = are basic descriptors of pattern shape
and we may think of them as 'Gobbling up' intervening list items. We
can call '=' Gobble-one and '==' Gobble-any. (These names were suggested
by the late Max Clowes.)

Gobble-one and Gobble-any help us characterise the linear shape of a
pattern. We may also want to characterise its structural organisation.
For example that the first element in the target list must itself be a
list - as it is in CUPBOARD for example.

    cupboard matches [[==] blanket ==] =>
    ** true

And this device may of course be used to dig arbitrarily 'deep' into
a list structure.

The pattern is then a sort of picture with lots of missing details,
of the kind of list we are looking for.

-- Using variables in a pattern specification -------------------------

So far we've described our patterns in very literal terms. i.e. that
there needs to be a "B" and a "D", or a list etc. In practice the
items we want to include in our specification may have been
constructed by other procedures (and as we shall see by procedures
that use MATCHES). Typically these items will be the value of

Suppose we have a variable "box" whose value is a list representing the
contents of a box.

    vars box = [shoes tins brushes] ;

And a variable cupboard corresponding to a cupboard that contains the
box and other things:

    vars cupboard = [[shoes tins brushes] blanket hats coats umbrellas];

If we write

    cupboard matches [box blanket ==] =>
    ** <false>

The result is false because the first element of cupboard is not
the word "box" but a list which is the same as the value of the variable
box. We need to enrich the pattern specification language so as to
distinguish between words used literally and words used as variable
names. We do this with the up-arrow ^ prefix, as explained in the
chapter on lists. Thus

    cupboard matches [^box blanket ==] =>
    ** <true>

The use of ^ (up-arrow) in the pattern specification here is
the same as that introduced earlier. Thus

    [box blanket ==] =>
    ** [box blanket ==]


    [^box blanket ==] =>
    ** [[shoes tins brushes] blanket ==]

And it is of course only this latter version that matches CUPBOARD.

-- Matching a "segment" of a list -------------------------------------

Had the value of cupboard been

    ** [shoes tins brushes blanket pillow]

then that MATCH would have failed.

We need to 'strip off' the list brackets of the value of BOX if we
are to match this new kind of CUPBOARD, and we can do this by using
a double up-arrow:

    [^^box blanket ==] =>
    ** [shoes tins brushes blanket ==]

This uses the value of the variable box to insert a collection of items
to form a SEGMENT of the list, rather than inserting a single list as an
ELEMENT of the enclosing list.

To illustrate the power of matches and the pattern language, consider
the following definition of the procedure ismember which could be
compared with the definition of iselement in Chapter 3:

    define ismember(item, list) -> trueorfalse;
        list matches [== ^item ==] -> trueorfalse

    ismember(3, [ 1 2 4 ] ) =>
    ** <false>
    ismember(3, [ 1 2 3 4 ] ) =>
    ** <true>
    ismember("c", [ a b c d e]) =>
    ** <true>

This uses the fact that matches returns a 'boolean' result, i.e.
either TRUE or FALSE.

-- Retrieving details of the target list ----------------------

In some of our examples we have merely been concerned to establish
whether a particular target list meets some pattern specification, where
that specification only cited various list fragments embedded within a
context whose precise composition was not germane to the recognition of
this key configuration.

We may however want to know what that context is, when a match is
obtained. For instance, a sentence analysing program which finds a
verb in a sentence may want to know what came before and after the
verb. It is also used in programs which interrogate the Pop-11
database not merely to see if a particular piece of information is
there, but also to find out exactly what it is. E.g. you may not
merely wish to find out if the database has an item of the form

    [age fred ....]

you may also want to know what the age is.

Thus in recognising the ordered co-occurrence of "B" and "D" in the list

    vars x = [a b c d e];

we might want to be 'told' what the value of the intervening list
element(s) is (are).

To set a variable say P to take on the value of  single list element
prefix the variable name with "?" Thus

    vars p;
    x matches [== b ?p d ==] =>
    ** <true>
    p =>
    ** c

Similarly to set the value of the variable to be some SEQUENCE of list
elements use "??" Thus:

    vars q;
    x matches [a ??q d ==] =>
    ** <true>
    q =>
    ** [b c]

Think of "?" as "get ONE element" and "??" as get ANY elements", by
analogy with "=" and "==".

Try the following, which gives LIST a new value, then uses it:

    [i like talking to you] matches [i ??list you] =>
    ** <true>
    [you ^^list me?] =>
    ** [you like talking to me?]

This is typical of the sort of trick used by Eliza.

Whenever the MATCH fails because the list does not match the pattern the
queried variables may have their values altered in an unpredictable way
as part of the process of determining that the match fails.

    [i like talking to you] matches [i ??list you alone] =>
    ** <false>
    list =>
    ** [like talking to you]

-- Using a "restriction" to control or check the match ----------------

The basic concept of matching as illustrated so far uses identity
between elements of the target list and corresponding elements of the
pattern specification. We can generalise this by requiring that a target
element have some specified PROPERTY.

For example in the ELIZA world, the occurrence of a word indicating
reference to the family e.g. "son", "sister", "father", "mother", etc.
in an input sentence is an important response-determining cue. To detect
that a list element belongs to such a set, rather than being identical
with a given pattern element, we can use a "restriction procedure" as an
affix to a queried variable in the pattern specification. Thus if we
have a procedure that produces TRUE when applied to family word and
false otherwise, then we can use it to restrict the value of "x" in the
following match:

    vars x;
    [my father loved me] matches [== ?x:family ==] =>
    ** <true>
    x =>
    ** father

    [you remind me of my brother] matches [== ?x:family ==] =>
    ** <true>
    x =>
    ** brother

    [you remind me of my car] matches [== ?x:family ==] =>
    ** <false>

where FAMILY is a (previously-defined) procedure that might be something
like this:

    define family(word) -> result;
      member(word, [son sister father mother brother]) -> result

You can gain experience with MATCHES ?, ??, ^, ^^, and variables by
working through TEACH RESPOND.


-- Summary of match notations -----------------------------------------

Basic format:

    list MATCHES pattern

Pattern specification can contain the following:

    1) [cat mouse x 99 'string']
        literal words numbers, strings, and other items to be
        checked in the target list

    2) =
        The 'Gobble-one' spacer

    3) ==
        The 'Gobble-any' spacer

    4) ^A
        Put into the pattern an object which is the value of the
        variable A. That object will then be compared with the
        corresponding object in the target list.
        Put into the pattern whatever results from evaluation of
        the expression.

    5) ^^A
        The variable A MUST have a list as value. Put into the pattern
        all the elements of the list, for comparison with elements of
        the target list.

    6) ?A
        Set the value of the variable A to be a single element in the
        matching target list.

    7) ??A
        Set the value of the variable A to be a list containing a
        sequence of elements in the target list.

    8)  ?A:TEST
        Only allow the variable A to match an element such that TEST(A)
        is not FALSE.

    9) ??A:TEST
        Like (8), but the TEST is applied to a LIST of successive elements
        from the target list to be matched against the variable A.

(Future versions of Pop-11 with a more sophisticated matcher will use
additional pattern element formats.)

NOTE: If the predicate TEST in the last two cases returns not TRUE
but some other non-FALSE result, then the result will be assigned to
the variable A instead of the item or list of items from the target
list. For example, define a procedure to recognise a list of colours,
and return a list of their initials:

First a procedure to produce a one character word from a word:

    define initial(word);

Use that to define a procedure that returns a list of initials if given
a list of colour words:

    define all_colours(list) -> result;
        ;;; given a list of colour words return a list of single
        ;;;  character words, using the first character of each word.
        lvars item;
        for item in list do
            unless member(item, [red green blue indigo violet orange])
                false -> result;
        ;;; create list of initials
        maplist(list, initial) -> result;

    all_colours([red square]) =>
    ** <false>
    all_colours([green red orange]) =>
    ** [g r o]

This can be used to transform the output of the matcher, because it
returns the transformed list rather than simply true. E.g.

    vars colours;
    [the big green blue red orange thing on the wall]
        matches [== ??colours:all_colours thing ==] =>
    ** <true>

    colours =>
    ** [g b r o]


-- MATCHing on a corpus of lists - the DATABASE concept ---------------

The description of some task situation may take the form of a large
corpus of lists, representing propositions. For instance we might
know that B1, B2, ... etc are blocks, that each has a colour and a
size, and that some are on others. These facts could be represented
as a database consisting of a list of lists:

   [[b1 isa block]
    [size b1 big]
    [colour b1 green]
    [on b1 b2]

We could also describe the contents of an image in terms of which
objects are in it what their properties are, and how they are
related. The library program SEEPICTURE builds up just such a list
representation of a PICTURE pattern to provide a basis for

-- Adding and removing database items ---------------------------------

Since this facility is often required, Pop-11 provides a collection
of automatically loaded library procedures for manipulating lists of
lists. They all make use of a global variable 'database' which may
contain arbitrary information.

We can build up a DATABASE using ADD

    vars database;
    [] -> database;

    database =>
    ** [[b] [a]]

Notice that items appear in reverse order to the order of ADDing.

More concisely  we can use ALLADD

    alladd([[c] [d]]);
    database =>
    ** [[d] [c] [b] [a]]

Complementing ADD and ALLADD we have REMOVE and ALLREMOVE.

    database =>
    **[[d] [b] [a]]

The order of items in a call of ALLREMOVE is not important i.e. it does
not need to reflect the ordering of the DATABASE

    allremove([[a] [b] [d]]);
    database =>
    ** []

The procedure REMOVE will remove at most one item from the database,
even if it is given a pattern which matches several. Thus REMOVE([==]);
instead of removing everything, removes just one item. Moreover, REMOVE
will generate a MISHAP if it does not find one item to remove. Similarly,
ALLREMOVE will generate a mishap if it can't remove something for every
element of the list of patterns given to it as argument.

The procedure FLUSH is provided without these restrictions. FLUSH
deletes everything in the database that matches its argument, but if
there is nothing that matches, then FLUSH does nothing!

The argument given to FLUSH is a pattern specification, that is
FLUSH uses MATCHES to determine the list items that it will DELETE.
It is however very powerful in its action... it removes ALL the
matching DATABASE entries. Thus with the DATABASE [[D] [C] [B] [A]]
the action


clears the DATABASE, thus:

    database =>
    ** []

Thus in this situation FLUSH([=]) is equivalent to:

    allremove([[a] [b] [c] [d]]);

Whenever the database contains only one-element lists, the command


will remove them all.



will remove all lists from the database no matter what is in them. It is
therefore equivalent to

    [] -> database;

-- Using "it" to record what was removed ------------------------------

After using FLUSH or REMOVE the variable IT will hold the item last
removed. E.g.

    add([dogs like meat]);
    remove([dogs like == ]);
    it =>
    ** [dogs like meat]

The procedure ALLREMOVE, uses the variable THEM instead. This will
be a list of all the items removed. Similarly, ADD updates IT, and
ALLADD records things in THEM.

-- Finding items in the database ------------------------------

One of the most commonly used procedures is PRESENT, which takes a
pattern and returns true or false depending on whether there is
something in the database that matches the pattern. If the pattern
contains variables preceded by "?" or "??", and the match is true, then
the values of those variables will give information about the list
that matched the pattern. For example:

        [the big red box] [the long square pole][the tiny blue flea]])
    vars x y;

    present([the ?x ?y pole]) =>
    ** <true>
    x, y =>
    ** long square

Exercise:  what will the values of x and y be after

    present([the ?x ?y flea]) =>

-- -- How PRESENT works. -----------------------------------------------

It does this by trying to MATCH the pattern against every item in the
database. If the match is ever successful then true is returned as the
result of PRESENT, otherwise the result is false.

    alladd([[a b c d] [d c b a] [a b d c]]);

    present([== b ==]) =>
    ** <true>

    present ([== b c]) =>
    ** <false>

Notice that PRESENT finds the 'first' matching item.

PRESENT is frequently employed in a conditional e.g.

    if present(pattern) then action

The 'IF... THEN' construction 'uses up' the boolean value returned
before THEN i.e. try:

    if present([== b ==]) then => endif;

The "STACK EMPTY" error message arises because Pop-11 treats the value
returned by PRESENT between "IF" and "THEN" as <TRUE> or <FALSE>. So
the value is no longer there for "=>" to print out, and that produces
the error message.

-- Using "it" to record what was matched ------------------------------

The value returned by present when successful is TRUE. But that does not
determine what exactly matched the pattern in the database. For many
purposes however we will need to know what the matched item is for
example to use it in the THEN branch of the conditional. For this
purpose the DATABASE variable IT is set to have the value of the
matching item, when PRESENT finds something.

    alladd([[a b c d] [d c b a] [a b d c]]);

    if present([== b ==]) then
      it =>
    ** [a b c d]

Thus we see that the item matched, and subsequently removed was the
first item in the database.

Note that it found only ONE item, matching the pattern, and removed
it. FOREACH, explained below, shows how you can search for ALL items
matching some pattern.

-- Retrieving values from within a matching ITEM ----------------------

Since all of the apparatus of MATCHES is utilised in those DATABASE
procedures, PRESENT can be used to set values of appropriately queried
variables in the pattern specification.

    vars x;
    present([?x b ==]) =>
    ** <true>
    x =>
    ** a
    it =>

Notice that if "?" or "??" is used before a word in a pattern, then
that word should be declared as a variable name. Hence the "vars x;"

If the variables in patterns are not declared to be local, to the
procedures which use them, then different procedures can mess each other
up. This applies to procedures which use MATCHES or any of the database

-- Using LOOKUP to extract information from the database --------------

We do not always want to know what the matching item was. Sometimes we
will know in advance that an item matching the pattern is present in the
DATABASE and want only the value of some fragment of the item.

For this purpose the procedure LOOKUP is provided. It does not return
<TRUE> or <FALSE> but merely sets the value of queried pattern variables
when a match is found, and causes an error if no match is found.

    alladd([[a b c d] [d c b a] [a b d c]]);

    lookup([= ?x b ==]);
    x =>
    ** c

In the event of no match being found an error will result

    lookup([?x == e]);
    ;;; INVOLVING:  [? x == e]
    ;;; DOING    :  sysprmishap mishap lookup ......

Note that PRESENT is to MATCHES as LOOKUP is to -->. PRESENT and MATCHES
check a condition and return a true/false result, and may simultaneously
bind pattern variables. But only PRESENT searches over a list. LOOKUP
and --> do not return any result, and only LOOKUP searches.

    procedure   returns           iterates over       mishap on
                a boolean         the database        failure
    matches      yes                   no               no
    -->          no                    no               yes
    present      yes                   yes              no
    lookup       no                    yes              yes

-- FOREACH: iterates over all items PRESENT matching a pattern --------

There will often be a need to find not just one matching item in the
DATABASE, (or to set the value of queried pattern variable for just
one matching item) but to find all of them. For this purpose the
looping construct FOREACH is provided, We can use it, for example to
find all the items in the database in which "b" precedes "a":

    [[a b c d] [d c b a] [a b d c] [b d c a]] -> database;

    foreach [== b == a ==] do
      it =>

    ** [d c b a]
    ** [b d c a]

Note that FOREACH is a "syntax" word (like IF and DEFINE), not a
procedure name, and hence the pattern specification that follows
need not be enclosed in round brackets '(' ')'.

The general form of FOREACH is

    FOREACH <pattern> DO <action> ENDFOREACH;

For example, to print out every item in the database representing
something blue:

    vars x;
    foreach [??x is blue] do
        x ==>

Inside the <action> the variable IT is available to represent the
database item which has matched the pattern. E.g. suppose you have
various database entries of forms:

    [p1 is a person]
    [b3 is a block]
    [c5 is a cat]

etc. Then, to print out all the blocks do:

    foreach [??x isa block] do
        x =>

you can use "[%" and "%]" to make a list of all the blocks:

    [% foreach [??x isa block] do
    %] -> blocks;

Each time round the value of X is left on the stack and the [%...%]
brackets make a list of all of them. The variable IT can be used
each time round the loop to refer to the database entry which was
found to match the pattern given after FOREACH.

FOREACH can be followed by IN to specify a list other than DATABASE to
search in, i.e.

    FOREACH <pattern> IN <list> DO <action> ENDFOREACH;

If you have access to a working Poplog system you can get more
information and examples in:


-- Checking a set of patterns against the database --------------------

Just as ALLADD and ALLREMOVE can be given a list of patterns to add
or remove, similarly, ALLPRESENT can be given a list of patterns to
look for in the database. If it finds items for all of them it
returns a list of the found items (and also assigns it to the
variable THEM). Otherwise its result is false. E.g. to find a
grandson of TOM:

          [dick father harry]
          [tom father jack]
          [bill father tom]
          [jack father dick]]);

    vars x, y;
    if allpresent([[tom father ?x] [?x father ?y]]) then
      y =>
    ** dick
    them =>
    ** [[tom father jack] [jack father dick]]

For more summary information on the database procedures see:


-- Forevery: simultaneously satisfying a collection of patterns -------

Just as ALLPRESENT is a generalisation of PRESENT, so Pop-11
includes FOREVERY which is a generalisation of FOREACH, and allows
some fairly powerful manipulations of the database. In particular,
we can find all possible combinations of a SET of patterns in the
database. E.g. to find all paternal grandfather relations, i.e. all
combinations of the form

    [?x father ?y][?y father ?z]

Here's an example

        [dick father harry]
        [tom father jack]
        [bill father tom]
        [dick father mary]
        [jack father dick]] -> database;

    vars x, y, z;
    forevery [[?x father ?y] [?y father ?z]] do
        [^x is the paternal grandfather of ^z] =>
    ** [tom is the paternal grandfather of dick]
    ** [bill is the paternal grandfather of jack]
    ** [jack is the paternal grandfather of harry]
    ** [jack is the paternal grandfather of mary]

Note that FOREVERY made sure that whatever matched "y" in in the two
patterns was the same.

The permitted formats of FOREVERY are:

    FOREVERY <list of patterns> DO <actions> ENDFOREVERY;

    FOREVERY <list of patterns> IN <database> DO <actions> ENDFOREVERY;

When 'IN <database>' is omitted, then the value of the variable DATABASE
is used as the database.

Another example: find all the blocks and print out their colours:

    forevery [[?x isa block] [colour ?x ?col]] do
        [^x is a ^col block] =>

Or to find all maternal grandfather relationships:

    forevery [[?x father ?y] [?y mother ?z]] do
        [^x is grandfather of ^y] =>

-- -- More powerful database-related mechanisms

In addition to these procedures the Pop-11 library contains some more
powerful procedures SCHECK and SCHOOSE, for matching a whole database
pattern against a database, and indicating whether the match was
partially successful, what was missing, what was surplus, etc. For
details see TEACH SCHEMATA

A simple expert system shell based on the matcher is described in

A more sophisticated version, POPRULEBASE was added in 1999. For information
about it, do

    uses newkit

then these commands will be available

        Tutorial introduction

        More comprehensive overview (for experts)

-- -- LIB SUPER: A Prolog-like extension to Pop11

Poplog includes a full prolog system implemented in Pop11, using the syntax of
prolog. You can get information about it in these two Poplog files

        Also available here

        See also
        (A comprehensive list, at the University of Reading)

For a general introduction to Prolog, see, for example:

    W. Clocksin and C.S. Mellish
    PROGRAMMING IN PROLOG, Springer Verlag.

Although the Pop11 database procedures described earlier are very powerful
compared with what most programming languages provide. They are still, in
certain respects, not as powerful as the facilities built into the language

However, Pop11's LIB SUPER provides some of the additional power of prolog,
using the syntax of pop11 and its matcher. See these two files, which are
included in the poplog documentation as well as being online



Here's a taster from TEACH SUPER_EXAMPLE:

-- -- -- LIB SUPER: Some examples

;;; You can use 'mark and load range' commands in Ved or XVed
;;; to run these examples.

uses super

;;; startup an empty database

;;; add some facts about who is  big.

add([big john]);
add([big fred]);
add([big sally]);

;;; we can search for a person who is big

;;; declare a variable person
vars person;

;;; is there anyone small?
present([small ?person]) =>
** <false>

;;; anyone big?
present([big ?person]) =>
** <true>

;;; who was found?

person =>
** john

-- -- -- Printing out the SUPER database

At this stage, several things have been added to the database.

At any time you can print out the database, using Pop-11's  pretty-print
arrow (==>), like this

database ==>
** [[big [big john] [big fred] [big sally]]]

If you add some other facts the facts will be grouped according to their
first word.

add([round moon]);
add([round sun]);
add([round saturn]);

add([planet earth]);
add([planet saturn]);
add([star sun]);
add([satellite moon]);

;;; now look at the database
database ==>
** [[satellite [satellite moon]]
    [star [star sun]]
    [planet [planet earth] [planet saturn]]
    [round [round moon] [round sun] [round saturn]]
    [big [big john] [big fred] [big sally]]]

    This grouping of database entries according to their first word
    can save a lot of space and a lot of time, but it is not nearly
    as sophisticated or as efficient as the techniques used in
    professional database packages (e.g. mysql).

    But SUPER's greater visibility and intelligibility makes it far
    more suitable as a teaching tool: students can then explore
    extensions and applications that would be very hard for them to
    code with a 'real' database package.

    POPRULEBASE uses a similar mechanism to SUPER and has been used for
    serious a AI system which outperform many rivals on standard
    benchmark tests.

-- -- -- Using 'which' to get complete information

;;; Previously used PRESENT to check one thing at a time
;;; We can find all the big persons using the WHICH command:

vars person;

which("person", [[big ?person]]) =>
** [john fred sally]

;;; you can also use 'foreach' to find all the heavy things, and do
;;; something to them one at a time.

;;; We use ?person as a variable to be set in a list by matching.
;;; We use ^person as a variable whose already set value is to be
;;; put in the list. We can't use "^" like that outside a list.

foreach [big ?person] do
    [I know that ^person is big] =>

;;; That prints out:

** [I know that john is big]
** [I know that fred is big]
** [I know that sally is big]

;;; is anyone heavy?
which("person", [[heavy ?person]]) =>
** []

;;; the empty list is returned, so nobody is heavy.

;;; But we can add an inference rule saying, that if you need
;;; to find someone heavy, check if there's someone big

add([ifneeded [heavy ?person] [big ?person]]);

;;; now is anyone heavy?

which("person", [[heavy ?person]]) =>
** [john fred sally]

;;; So SUPER has *inferred* that each of john, fred and sally is heavy.
;;; But it has not stored that information in the database, as you
;;; can tell by printing out the database.

For more on SUPER see the TEACH and HELP files.

-- Some limitations of the Pop11 matcher --------------------------

The pattern matching facilities shown so far have serious
restrictions in that they will not work properly with sections, a
mechanism for separating variable scopes (a bit like 'packages' in
Common Lisp), and the pattern variables also cannot be used with
lexically scoped variables, which is why all pattern variables have
to be declared with "vars", not "lvars". (See HELP LVARS).

-- -- LIB FMATCHES overcomes some limitations of the matcher

There is a modified version of the matcher described in HELP
FMATCHES which partially overcomes these restrictions, though
FMATCHES is no longer an infix operator like MATCHES, but a new
syntax word.

FMATCHES is superseded by the DOESMATCH library and the READPATTERN
library, both included by default in the current version of Linux poplog,
along with the pattern prefix "!", which allows pattern variables to be
lexically scoped variables.

-- -- The POP11 pattern prefix !

(For expert programmers.)

This mechanism is described in detail in

Warning: The pattern prefix is incompatible with LIB SUPER. So if
you have tried the SUPER examples above, you should leave Pop11, and
restart before trying the next few examples.

For many novice programs the pattern prefix is not essential, but for more
complex programs the ability to use lexically scoped variables as pattern
variables is essential, to prevent interference between different program
fragments, defined in different sub-programs, using the same variable

For this reason, in Birmingham, after the introduction of the
pattern prefix we started using it in most of our teaching examples,
even though it was not strictly necessary.

This mechanism is not described in any of the published books on

Here are some examples from HELP READPATTERN:

-- -- -- list_between

E.g. here's a procedure to make a list of the items between two
specified elements in a list.

;;; Make sure readpattern has been compiled
;;; Not really necessary in current versions of Poplog (e.g. V15.6 onwards)

uses readpattern

define list_between(item1, item2, list) -> found;

    ;;; Here found is automatically declared as lvars, as are the input variables
    ;;; item1, item2, list

    ;;; note the use of the pattern prefix "!"

    unless list matches ![== ^item1 ??found  ^item2 ==] then
        false -> found;

    ;;; If the match is successful, the list of items between
    ;;; ITEM1 and ITEM2 in the list will be assigned to the
    ;;; variable FOUND, and returned as result of the procedure.

    ;;; Otherwise false is the result returned.


;;; Now test the procedure

vars words = [a b c d e f g];

list_between("a", "g", words) =>
** [b c d e f]

list_between("c", "g", words) =>
** [d e f]

list_between("b", "b", words) =>
** <false>

list_between("g", "e", words) =>
** <false>

Note that the value returned by the procedure is the value of the output
local variable FOUND, which is a lexical variable, which is given a
value by matches when the match is successful. This works only
because of the use of the pattern prefix "!".

-- -- -- Without the prefix "!"

(Next bit only for expert programmers.)

Try without the pattern prefix

define list_inner(item1, item2, list) -> found;

    unless list matches [== ^item1 ??found  ^item2 ==] then
        false -> found;


vars words = [a b c d e f g];

list_inner("a", "g", words) =>
;;; IN FILE pop11-primer.txt
;;; LINE 17154
** 0

It declared the non-lexical (global) variable "found" and returned
the default value of the lexical variable found, namely 0.
But the global variable has this value
found =>
** [b c d e f]

That is terribly confusing, explaining the need for "!"

(For complete illumination see TEACH VARS_AND_LVARS !)

As far as I know no other language offers this kind of flexibility
in use of lists both as data-structures and as code items when they
contain pattern variables, apart from Prolog. (Common Lisp may have
features that I have not encountered that are equivalent to this.)

A consequence is that it is hard in most languages to build packages
like Poprulebase.



As explained in many AI text books, it is often necessary to search an
abstract space in order to find a solution to a problem.

This chapter, which will be of use only to fairly experienced
programmers, uses a subset of some of the contents of a Pop-11 "teach"
file developed by the author, to define an illustrative general purpose
problem solver which searches for a solution to a variety of problems.

In order to use the procedure solve_problem you have to choose a
representation for your problem and the search space it defines. That
requires choosing a representation for each state, including the initial
state, the goal state or goal states if there are several alternative
ways of solving the problem, and other intermediate states.

You also need to define four procedures, as follows:

-- Procedures to be supplied by users

-- . is_goal_state

    is_goal_state(state, goal) -> boolean

This is given a state, and a specification of the current goal and
returns true if the state is acceptable as a goal state, otherwise
false. This procedure will be different for different sorts of problems.

-- . next_states

    next_states(state) -> newstates;

The procedure next_states is given a state and returns a list of states
that can be reached in one step from that state. The procedure will be
have to be defined differently for different problems.

-- . same_state

    same_state(state1, state2) -> boolean

This procedure is required so that the problem solver can tell whether a
particular new state is equivalent to one that has previously been
examined, so that time is not wasted examining it again and trying to
explore its successors. Since the notion of equivalence will depend on
the kind of problem and how states are represented, this has to be
defined by the user.

If this procedure is provided, then the general problem solver can keep
a "history" list of the states that have already been examined, and
whenever new states are generated it can discard any of them that are
"the same" as a state already on the history list.

-- . insert_state

    insert_state(state, oldstates) -> newstates

This procedure can embody some "heuristic" information. It is given a
new state (e.g. something produced by the procedure next_states) and
list of states waiting to be explored, and it returns a new list of
states, with an order which represents the best current guess as to
which one should be examined first. For example it is often useful to
prune a search space by working first on items that are going to be most
difficult to fit into a complete solution, so that those that are
unusable are quickly eliminated from further combinations of items.

-- . is_in_list

The problem solver described below needs this utility procedure which
can be applied to a state, a list of states, and the user's procedure
same_state, to check whether the first state is equivalent to one of
those in the list. It returns a true or false result.

define is_in_list(newitem, list, sameitem) -> boole;
    ;;; Return true if and only if the newitem is the same as something in
    ;;; in the list, as compared using the procedure sameitem

    lvars procedure sameitem;   ;;; declare it as a procedure, for speed

    lvars olditem;

    for olditem in list do
        if sameitem(newitem, olditem) then
            ;;; found an olditem which is the same, so return with true
            true -> boole;
    ;;; did not find anything that was the same
    false -> boole

-- The definition of solve_problem

If the user has defined the above procedures they can be given to the
following general problem solver. It takes six arguments and produces
a result which is the goal state if one is found and otherwise the
value FALSE.

The first argument is a representation of the initial state. The second
is a representation of the goal to be achieved. The next four arguments
are procedures, which are the users versions of the four procedures
listed above: the goal recogniser, the procedure for generating new
states from old ones, the state equivalence recogniser, and the
procedure to insert a new state into a list of states.

Here is one of many ways to define such a problem solver:

define solve_problem
    (initial, current_goal, isgoal, nextstates, samestate, insert)
        -> result;

        initial,        ;;; the initial state
        current_goal,   ;;; the second argument for isgoal
        ;;; four procedures defining the problem and a strategy
        procedure (isgoal, nextstates, samestate, insert),

        alternatives = [^initial],  ;;; the list of alternative states
        history = [] ;              ;;; the list of previous states

    vars current_state, rest;       ;;; use "vars" for pattern variables

        if null(alternatives) then
            ;;; failed
            false -> result;
            alternatives --> [?current_state ??rest];
            rest -> alternatives;

            ;;; Check if current_state is a goal state
            if isgoal(current_state, current_goal) then
                ;;; problem solved
                current_state -> result;
                ;;; Keep a history list, avoid circles
                [ ^current_state ^^history ] -> history;

                ;;; generate successor states to current_state
                lvars states;
                nextstates(current_state) -> states;

                ;;; put all the "new" states onto the alternatives list
                lvars state;
                for state in states do
                    unless is_in_list(state, history, samestate) then
                        insert(state, alternatives) -> alternatives
                ;;; now go back to the beginning of the repeat loop

-- Using solve_problem to solve a simple problem

Suppose you have a set of parent child relationships stored in a
database (see TEACH * DATABASE).

For example you could set up a database like this:

    define start_family_tree();
            [father [tom jones] [dick jones]]
            [father [tom jones] [sue smith]]
            [mother [ginny jones] [dick jones]]
            [mother [ginny jones] [sue smith]]
            [father [dick jones] [mary jones]]
            [mother [sue smith] [joe smith]]
            [mother [sue smith] [fred smith]]
            [father [jack smith] [joe smith]]
            [father [jack smith] [fred smith]]
            [father [fred smith] [angela green]]
            [mother [angela green] [willy green]]
        ] -> database;


Then the following command will set up the initial database:

    ;;; print out database to check
    database ==>

Now suppose you had to find out whether someone A is an ancestor of
someone else B.

One way you could do that is set up a search space consisting of a start
node A, and all paths from A to descendents of A. Then the solve_problem
procedure could be given the task of searching for a path through the
family tree starting from A and ending with B. If such a path is found,
it would answer the question positively: A is an ancestor of B.

You could represent a state in the search space as consisting of a
list of names representing a path found so far through the family tree.
For example if we wanted to find out whether [ginny jones] is an
ancestor of [angela green] we would have a succession of states showing
routes up the tree to ginny jones thus

    [[ginny jones]]                 ;;; initial state
    [[dick jones] [ginny jones]]    ;;; a successor state
    [[sue smith] [ginny jones]]     ;;; another successor state

If we use this representation, then it is easy to tell whether the
problem has been solved: check whether the target person B is the first
item of the list.

Thus we can define the following procedures to use with solve_problem

    define is_ancestor_goal(state, target) -> boole;
        ;;; The state is a list of names defining a route up the family tree
        ;;; Does it start with target?
        lvars state, target, boole;
        state matches [^target == ]  -> boole

However, we also have to create a procedure for generating new states
from a given state. Remember that a state is a list of names of people

    [personN ... person3 person2 person1]

where person1 represents a parent of person2, person2 a parent of
person3, and so on. Person1 is the one given as the original alleged
ancestor, and personN is the latest person found in searching down the
tree from person1.

Then in order to find successors to this state we need to find
individuals who are immediate descendants of personN, and form
a set of new routes up the tree from each of them. First we need a
procedure to find the immediate descendants. We can use the database
searching procedure foreach (described in TEACH FOREACH)

    define immediate_descendants(person) -> list;
        lvars person, list;
        vars next;  ;;; a pattern variable used with foreach below

        ;;; start making a list
            ;;; first collect all those to whom person is father
            foreach [father ^person ?next] do
                next;   ;;; just leave the next person on the stack

            ;;; now collect all those to whom person is mother
            foreach [mother ^person ?next] do
                next;   ;;; just leave the next person on the stack

        %] -> list

You can test this as follows

    immediate_descendants([ginny jones]) =>
    ** [[dick jones] [sue smith]]
    immediate_descendants([sue_smith]) =>
    ** []

Using the procedure immediate_descendants we can define a procedure to
create extensions to a state represented as a route up the tree

    define family_next_states(state) -> newstates;
        lvars state, states;
        ;;; make a list of new states that start with one descendant
        ;;; and the rest of state

        lvars nextpeople, person;
        immediate_descendants(hd(state)) -> nextpeople;

        ;;; Now make a list of the new states
            for person in nextpeople do
                ;;; make a new state and leave it on the stack, to go into
                ;;; the list being created by [% ... %]
                [^person ^^state]
        %] -> newstates


Now test it

    family_next_states([[ginny jones]]) ==>
    ** [[[dick jones] [ginny jones]] [[sue smith] [ginny jones]]]

Note that the output was a list of TWO lists.

    [[dick jones] [ginny jones]]


    [[sue smith] [ginny jones]]

Try extending the first list:

    family_next_states([[dick jones] [ginny jones]] ) ==>
    ** [[[mary jones] [dick jones] [ginny jones]]]

This time there is only one extension, containing three names. You may
of course get a different answer with your database of names.

We now need a test for whether a state is the same as one we have tried
before and for this problem it is easy - just see if the two states are
the same. (It is not always that easy.)

    define family_same_state(state1, state2) -> boole;
        state1 = state2 -> boole

And finally we define the simplest possible state insertion procedure
for combing a new state with a list of states: just put it at the front,
so that it will be examined next. (This defines a depth first search

    define family_insert(state, states) -> newstates;
        [^state ^^states] -> newstates

You should now be able to use the solve_problem procedure to see whether
one person is a descendant of another. We can define a new procedure
called check_ancestor which does the work, as follows:

    define check_ancestor(person1, person2) -> result;
        ;;; use solve_problem to do the work
        ([^person1],        ;;; start state (must be a list with a name)
            person2,            ;;; goal state information
            is_ancestor_goal,   ;;; goal state recogniser
            family_next_states, ;;; generator for next states
            family_same_state,  ;;; circle detector procedure
            family_insert       ;;; insertion procedure
        ) -> result

    ;;; Now test it
    check_ancestor([ginny jones], [mary jones]) ==>
    ** [[mary jones] [dick jones] [ginny jones]]

    ;;; Compare this case, with a different target descendant
    check_ancestor([ginny jones], [tom jones]) ==>
    ** <false>

Try some other tests using an extended version of the database.

NOTE All this apparatus is already provided in Prolog and in
LIB Super.

By implementing such search mechanisms yourself you can add
mechanisms to take advantage of known features of the problem
domain, though that will not be illustrated here.

-- Exercises

1. The above strategy is not always the most efficient. See if there are
ways of improving it e.g. by re-defining the next states generator or
the insertion procedure.

2. Try using the above problem solver to set up a route-finding
using a database of information about road or rail links between towns,
and then trying to find a route between any two towns. If you want the
shortest route to be found you will have to have distance information
and the insert procedure or the next states procedure, or both could use
the distance measure to order the states, so that shorter routes are
tried first. Text books on AI define alternative algorithms for doing
this sort of thing.

3. Try using the problem solver to solve the problem of selecting some
blocks from a pile of blocks to build a tower of exactly a given height.
E.g. you may be given a list of numbers representing the heights of the
available blocks:

    [3 16 12 22 5 5 24 14 8 7 22 11]

and the task of finding blocks to make a tower exactly 30 units high.

(How would you do it?)

4. The above problem solver stops as soon as it finds a solution. If
for some reason you wish to look for another solution to the same
problem that could be very wasteful. Try extending the procedure so
that it not only returns the solution, but enough information about
what it has done so far to enable the search to be re-started with
that information. This will require a change to the procedure to
allow it to be run with information saved from a previous run, which
might default to [].

(This 'back-tracking' capability is one of the features of Prolog,


This chapter is about different ways in which users can extend the
variety of types of data-structures their programs use, and also
about the associated procedures that are created, either automatically
or explicitly.

Records and vectors have been part of the language for many years.
Objectclass is a recent extension providing ``Object oriented''
programming facilities.

-- Records

A recordclass is a class of objects all of the same general structure,
where each object contains zero or more fields that can contain data. A
record is an instance of a recordclass. All instances of the same class
have the same number of data fields.

Examples of recordclasses that are predefined in Pop-11 are pairs,
created by conspair, which are used for lists, and references, created
by consref. E.g. all pairs have two fields, all refs have one field.

A field may be "full", i.e. unrestricted in type, and therefore able to
contain any legal Pop-11 data-type, or restricted, e.g. to 7 bit
integers, or 16 bit decimals, etc.

Each record class has an associated "key" and a family of procedures, as

    o A constructor procedure, for creating new instances (e.g. conspair)
    o An exploder (or destructor) which can be applied to an instance
      and puts all of its contents on the stack (e.g. destpair)
    o A recogniser
    o A collection of accessor/updater procedures, one for each field
      in the recordclass. (For instance pairs have front and back, and
      their updaters.)
    o A class_print procedure for printing instances of the class.
      (The class_print procedure for pairs, knows about printing
      list structures using "[" and "]")
    o A class_apply procedure for deciding what to do if an instance
      is applied to some other object, as if it were a procedure.
      (The class_apply procedure for pairs is invoked if you apply
      a list to an integer N. It returns the N't item of the list.)

Each key is itself an instance of a special recordclass data-type called
keys, and its contents provide a lot of information about the class and
its instances.

In addition to the class-specific procedures there are generic
procedures that can be applied to instances of many different

-- Defining new record types in Pop-11

The procedure conskey provides the most general mechanism for creating
new record classes (and new vector classes). However there are two
syntax words that are generally easier to use.


The defclass construct defined in REF DEFSTRUCT can be used to create
other new record classes or new vector classes (see below for vector
classes). The syntax word "defclass" is defined in the autoloadable
library, on the basis of conskey.

However, for many purposes the older recordclass construct can be used
as a simpler mechanism for defining new record classes. ("recordclass"
is also a library syntax word defined in terms of "conskey").

-- -- An example: recordclass point3D

Suppose it were necessary to represent points in 3-D by means of four
element triples, one for each coordinate of the point and one for the
colour. The corresponding recordclass could be defined thus:

    recordclass point3D point_x point_y point_z point_colour;

The newer syntax for this, using defclass would appear thus:

    defclass point3D {point_x, point_y, point_z, point_colour};

As mentioned above, this automatically creates a family of new
procedures associated with the new recordclass, including conspoint3D,
destpoint3D, ispoint3D, point_x, point_y, etc.

An instance of the class can then be created using the procedure
conspoint3D and its components can be accessed or changed using the
field selector/updater procedures whose names correspond to the field
names above. For example, create two points, one at the origin:

        point1 = conspoint3D(0, 0, 0, "green"),
        point2 = conspoint3D(10, 10, 10, "red");

    ;;; print them out
    point1 =>
    ** <point3D 0 0 0 green>

    point2 =>
    ** <point3D 10 10 10 red>

    point_colour(point2) =>
    ** red

    "yellow" -> point_colour(point2);

    point2 =>
    ** <point3D 10 10 10 yellow>

-- -- When should records be used?

Lists (and vectors, explained below) can be used whenever records are
used. However, records have certain advantages in some contexts. Records
are are used in preference to lists when:

    o Very large numbers of instances are to be created: records
    normally take less space in memory than the corresponding lists

    o Elements of the records need to be accessed and updated rapidly.
    Accessing or changing the fourth element of a list normally takes
    longer than accessing or updating the fourth element of a record.
    That is because with lists it is necessary to "chain" down the
    list links, whereas the Nth component of a record can be accessed
    in one go. (Using offsets from the beginning of the record.)

    o Run time type-checking is desirable for robustness or debugging.
    If you attempt to access the fourth element of a list it will work
    as long as the list has four or more elements, even if something
    has gone wrong and the wrong sort of list has been found. If you
    apply a recordclass field accessor to the wrong sort of structure,
    even if it has the right number of fields, this will produce a
    run time error message. For example:

    front(point1) =>
    ;;; INVOLVING:  <point3D 0 0 0 green>
    ;;; DOING    :  sysprmishap mishap front .....

Lists are particularly useful when you wish to extend a structure by
inserting new items in the middle, or when you wish to have a number
of structures with shared "tails", as in these examples:

        list1 = [a b c],
        list2 = [d e f],
        list3, list4;
    list1 =>
    ** [a b c]
    ;;; Extend list1 by adding a new item after "a"
    conspair("item", tl(list1)) -> tl(list1);
    list1 =>
    ** [a item b c]

    ;;; Make two new lists that both share list2 as their tail

    [apple ^^list2] -> list3;
    [orange ^^list2] -> list4;
    list3 =>
    ** [apple d e f]
    list4 =>
    ** [orange d e f]
    ;;; they have identical tails, sharing memory
    tl(list3) == tl(list4) =>
    ** <true>

That cannot be done with vectors or records.

-- Defining new vector types in Pop-11

A vector class is a class of data whose instances may be of different
lengths, though once an instance is created, its length cannot be

Pop-11 includes two main built in vector classes, namely
strings and vectors. A string is an instance of a vector class that
is constrained to contain an ordered set of characters, i.e. 8-bit
integers. Strings may be of different lengths, but each component
of a string must be an 8-bit character. E.g.

    'a tiny string'         'a much longer string of characters'

Ordinary Pop-11 vectors can also be of different lengths, but their
contents are unconstrained.

    {1 2 3}     {1 2 3 a vector with numbers [words and] [lists]}

Vectors play a major role in the construction of arrays. See REF ARRAYS
Roughly speaking a multidimensional array in Pop-11 is a combination of
a one dimensional vector and a procedure for mapping between the high
dimensional array and the low dimensional vector.


The defclass construct described in REF DEFSTRUCT can be used to create
new vector classes as well as new record classes. However it is often
simpler to use the vectorclass construct.

-- -- Example of creation of a new vector class.

This example is based on HELP VECTORCLASS. The imperative

    vectorclass short 16;

declares a new vector class called "short" which is restricted to
containing 16 bit integers in its fields. This creates procedures

    initshort, consshort, destshort, isshort
    subscrshort, fast_subscrshort,

and declares the variable


with the new key as its value.

The newer syntax for doing this uses defclass, as follows:

    defclass short :16;

To create an instance of short, with 32 fields do this:

    vars shortie = initshort(32);
    shortie =>
    ** <short 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
         0 0>

By default the number 0 is put into each of the fields of a newly
created short vector. But this can be changed, e.g. by using the updater
of the subscriptor function subscrshort:

    99 -> subscrshort(3, shortie);
    shortie =>
    ** <short 0 0 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
         0 0 0>

Because of the use of the number "16" in its declaration, vectors of the
class "short" can only contain integers in the range 0 to (2 ** 16) - 1.
Attempting to assign something else will cause an error. E.g.

    "cat" -> subscrshort(5, shortie);

    ;;; MISHAP - INTEGER 0 TO 65535 NEEDED
    ;;; INVOLVING:  cat
    ;;; DOING    :  subscrshort ....

By contrast, the word "undef" is used as the default value for fields of
unconstrained vectors. For example, create a five element ordinary

    vars vec5 = initv(5);

    vec5 =>
    ** {undef undef undef undef undef}

Ordinary vectors have associated procedures initv, consvector, isvector,
subscrv, destvector. See REF VECTORS

The anomaly that some of the names end in "v" and some in "vector" is a
historical accident. Similarly for strings the corresponding procedures
are inits, consstring, isstring, subscrs, deststring. (See REF STRINGS).

For creating ordinary vectors the 'curly braces' can be used to simplify
the syntax.

There are several procedures that apply equally to different sorts of
vectors, notably <> which can be used to join two vectors of the same
type, e.g. two strings, or two full vectors:

    'one string ' <> 'and another' =>
    ** one string and another

    {one vector} <> {and another} =>
    ** {one vector and another}

As explained above, there are other generic procedures that apply
equally to vectors and records, e.g. appdata, fill, explode, datalist,

-- OBJECTCLASS: an Object-Oriented extension to Pop-11 ----------------

Objectclass is included precompiled in the recent versions of Pop11.
If it is not already included, or you are not sure whether it is
already included, all you need do to make sure it is compiled is to
add this at the top of your program.

    uses objectclass

LIB OBJECTCLASS makes available an object-oriented programming (OOP)
extension to Pop-11. This provides a natural extension to the notion of
a recordclass with the added features:

o Different classes can share fields, and associated procedures.

o Information can be inherited from one class to other classes (its
sub-classes). In Objectclass ``multiple inheritance'' is supported, so
that classes can inherit from more than one superclass.

o Procedures (known as methods) can be defined which behave differently
depending on the classes of their arguments. This is already true of
some built in procedures: e.g. the arithmetic operators such as + behave
differently depending on whether their arguments are integers,
bigintegers, decimals, ratios, etc. Because their behaviour depends on
the classes (or types) of more than one argument they are sometimes
known as ``multi-methods''. Objectclass includes multi-methods.

o Object Oriented programming also adds an element of ``data
encapsulation'' or ``data hiding'' in that details of an implementation
of a particular type may be hidden from the users of that type. (This is
not unique to OOP: it is an aspect of all good programming, and was
already an aspect of vectors and records in Pop-11.)

Some OOP systems, e.g. Smalltalk, are based on the notion of "message
passing". This is not used by Objectclass: it follows the Common Lisp
Object System (CLOS) in using multi-methods instead. All the behaviour
of a message passing system can be obtained as a special case.

The Objectclass library is remarkable in the way that it neatly maps OOP
ideas onto existing Pop-11 ideas.  The correspondence of ideas is as
follows :-

        procedures, which act according to the type of their

        records, the instance variables of which are simply the
        fields of the record and are accessed by appropriate methods.

        keys, although the keys that  play the role of classes are
        given some extra fields (via hidden properties) so that they can
        provide inheritance of behaviour.

Because this is a natural mapping, the overhead of a method call is
relatively low.  This means that the objectclass package provides an
efficient means of doing object-oriented programming.

You can get an introduction by looking at TEACH OBJECTCLASS_EXAMPLE.
More detailed technical information is provided in REF OBJECTCLASS.

For more on the general idea of Object Oriented Programming (OOP),
which has a number of different interpretations, and some history,

-- -- Some examples of the use of Objectclass

Here is a simple definition for an objectclass to represent people. We
assume each person has a name, an age and a sex. The class definition
has "slots" for each of these. We can specify default values for
some of these attributes, as in the following example:

    uses objectclass;

    define :class person;
        slot person_name = "no_name";
        slot person_age  = 0;
        slot person_sex;

Slots for which no default value is provided will have the word "undef"
as value.

You can then use this to create an instance of the class. Various
syntactic forms are available for this. Here is one of them, to create
an instance of class person, where the variable xxx will have the new
instance as its value:

    define :instance xxx:person;
        person_age = 27;
        person_sex = "female"

    ;;; look at the value of xxx
    xxx =>
    ** <person person_name:no_name person_age:27 person_sex:female>

    ;;; xxx can be given a name, as if it were a record with a field
    ;;; accessor/updater person_name

    "mary" -> person_name(xxx);
    xxx =>
    ** <person person_name:mary person_age:27 person_sex:female>

-- -- Defining an objectclass method

Objectclass methods are procedures that act differently depending on the
types (keys) of their arguments. Compare the way the Pop-11 operator
"<>" can be applied to words, lists, strings, procedures, etc.

Different definitions of a method are needed for each combination of
objectclasses. For example, you could write a method for giving a person
a birthday.

    define :method birthday( p:person );
        lvars age;
        person_age(p) + 1 -> age;
        age -> person_age(p);
        [Happy birthday ^(person_name(p)) - now aged ^age] =>

This method can be applied to xxx

    person_age(xxx) =>
    ** 27

    ** [Happy birthday mary - now aged 28]
    person_age(xxx) =>
    ** 28

It would be possible to define a different version of the "birthday"
method for cars. For example, the car version might print out a reminder
to get the the car's licence renewed and its insurance revalued.
Similarly if "child" were a subclass of "person" then a special birthday
method could be defined for instances of child and it would take
precedence over the default method for person. E.g. it might light some
candles and sing a song.

-- -- Defining a subclass of a class

We can define a new subclass of persons, called adults, with default age
18, who are able to have a spouse, as in the next example. The spouse
may be nonexistent, which we'll make the default, represented by the
boolean false. Note that the second line of this definition specifies
that the adult class is a subclass of class "person". That means that
all the slots and methods previously defined for persons will
automatically be applicable to adults.

    define :class adult;
        is person;                      ;;; specify superclass
        slot person_spouse = false;     ;;; and additional slot
        slot person_age = 18;           ;;; A new default age

    define :instance yyy:adult;
        person_sex = "male";

Let's give yyy the name "fred".

    "fred" -> person_name(yyy);
    yyy =>
    ** <adult person_name:fred person_age:18 person_sex:male

The TEACH files referred to give more information including how to
define a method called marry, that is applicable to two adults and makes
each of them the spouse of the other.

The 2D graphical extension to Poplog RCLIB, gives many more examples, used for
defining objects that can be useful components of graphical interfaces,
some of whose methods are invoked by actions performed by the user with
a mouse.


A wide variety of examples is provided in


This file gives a more complete overview

There are examples of what can be done using RCLIB here:

RCLIB is used as the graphical interface in the SIM_AGENT library,
described here:

[To be continued]
-- -- Additional topics and relevant documentation files

The previous chapters merely provide an introduction to the Pop-11
language. A more complete definition can be found in the online Poplog
REF files.

The rest of this section provides some pointers to further information
that might be useful, though it does not aim at completeness. There
is lots more documentation in poplog than is listed here.

Words and identifiers

    words, the dictionary, identifiers, cancel, synonyms,
    valof, idval, identprops, identtype, sections
    (HELP * WORDS)

Ascii character codes, special graphic codes in VED

    HELP * ASCII, REF * ITEMISE/Graphics

Data structures, classes,

    defclass, recordclass, vectorclass keys, conskey, class_print,
    class_apply, etc.

Control facilities for use in Pop-11 procedures

    chain, chainto, chainfrom, breakto, breakfrom, catch, jumpout, etc.

Character and item streams

    discin, discout, charin, charout,
    itemiser, incharitem, proglist
    macros, syntax words, and code planting procedures

File handling

    syscreate, sysopen, sysread, syswrite, sysdelete, pop_file_versions
    discin, discout, discappend
    (REF * SYSIO)

Pipes and mail boxes

    syspipe, pipein, pipeout
    (REF * SYSIO)


    newarray, newanyarray, arrayvector, boundslist
     (REF * ARRAYS)

Properties (hashed arrays)

    newproperty, newanyproperty, newmapping

Interrupt handling

    interrupt, vedinterrupt, popready,
    signal handling (sys_send_signal, sys_signal_handler)

Active variables (with associated procedures that run when the variable
is accessed or updated).

    REF * active, * nonactive

Dynamic local expressions (expressions whose values are automatically
accessed and saved on procedure entry and restored via updater
procedures on procedure exit):

    REF VMCODE has two relevant sections, entitled
        --  Dynamic Local Expressions
        -- More On Dynamic Local Expressions

Processes ("lightweight processes")

    consproc, consprocto, runproc, suspend, resume
    HELP * ACTOR (may be called NEWACTOR))

Library mechanisms,

    auto-loading, search lists, popautolist, popuseslist,
    document browsing facilities, vedgetsysfile
    Different categories of documentation and libraries
    private help (etc) libraries

'fast_' procedures. Efficiency "tips"


The garbage collector and memory management procedures.

    sysgarbage, popgcratio, popmemlim, pop_callstack_lim

Error handling and warnings.

    prmishap, mishap, prwarning, prautoloadwarn, popwarnings

Timing facilities

    time, profile, timediff, sys_timer,
    (See REF * TIMES)

Debugging, tracing and profiling aids



    pr, syspr, sys_syspr, =>, ==>, pop_pr_quotes, pop_pr_radix
    (REF * PRINT)

VED as a general purpose front end

    (REF * VEDPROCS, REF * VEDCOMMS, REF * REGEXP from Version 14.5)

Calling external procedures


Saved images

    syssave, sysrestore, sys_lock_system

Initialisation, and startup files.

    init.p, vedinit.p vedinitfile, vedfiletypes etc.

Exiting Poplog

    sysexit and related procedures, popexit, vedpopexit
    ved_xx, ved_qq
    (REF * SYSTEM)

Syntactic sugar available in Pop-11


        (and many more, e.g. in poprulebase)

Defining new define_forms


Defining new looping constructs


A selection of useful or interesting library packages

    database, add, remove, foreach, forevery,

Programming style in Pop-11


The X window facilities in Poplog Pop-11 are very rich and complex.
You might start with

    HELP * X
    REF * X
        (Warning: up to version 14.2 the latter is incomplete!)


For a more complex list of detailed REF files expanding on the
definition of Pop-11 see REF * INDEX

For a list of Pop-11 ref files concerned with the X interface see


The file HELP NEWS gives information on recent changes to Poplog up
to Poplog version 15, and includes references to older versions of
the file giving a reverse chronological history of the development
of Pop-11 and Poplog. There are other news files for Prolog, Lisp,
ML, and X.

The most recent news file for poplog can be found here:

-- -- Overview of REF files

The following is an extract from REF * REFFILES

        --- List of REF files

        --- Arrays and array procedures (see also HELP *ARRAYS)

        Describes asynchronous traps and signals in Poplog.

        --- Character stream input and output (See also HELP *IO)

        ---  General  data  procedures  and  datatypes  (See  also

        --- POP11 syntax for defining and accessing structures

        --- This is not a ref file, as explained above.

        --- The Poplog online documentation system

        --- Environment variables defined by the Poplog system.

        --- Poplog exception  (error  and  warning)  handling.
        (See   also HELP * MISHAP, HELP * PROGRAMMING.)

        --- Loading & calling external procedures from Poplog (See  also

        --- Using external data structures in Poplog

        --- Fast procedures (See also HELP *FASTPROCS, LIB *SLOWPROCS)

        ---  The  flavours  object  oriented  language  (See  also
        HELP *FLAVOURS). Made obsolete by Objectclass.

        --- Identifiers (constants and variables)

        --- Signed  integer  vectors  (See  also  REF  *DATA,  *VECTORS,

        --- Itemisation and lexical syntax. See also REF *POPCOMPILE

        --- Information on classes and keys (see also HELP *PROGRAMMING,

        --- Poplog library mechanisms, including autoloading

        --- Lists and pairs (see also HELP *LISTS)

        --- Logical names defined by the Poplog system.

        --- Some  error  messages  include  a  "code"  abbreviating  the
        message.  This  file  includes  full  explanations  and   cross-
        references to relevant  information about the  error. (See  also
        HELP *MISHAP)

        --- Poplog  mishap  (error)  handling (See  also  HELP  *MISHAP,

        --- Procedures concerned with the "new" interface  to externally
            loaded C programs. See HELP * NEWC_DEC for more details.

        --- Number data  types and numerical  procedures (See also  HELP

        ---   Obsolete   features   still   supported   for    backwards

        --- POP11 compiler procedures

        --- These files (which  really should be  in another place)  are
        used by the *POPINDEX and *VED_SOURCEFILE mechanisms.

        --- POP11 syntax in diagram form

        --- Printing procedures, etc (See also HELP *IO, HELP *PRINT)

        --- The nature  of procedures and  closures, list of  predicates
        operating on procedures (See also HELP *PROGRAMMING, *DEFINE)

        --- The Poplog "process" mechanism. (See also HELP *PROCESS)

        --- The  input stream  used in  Poplog by  many system  modules,
        including the  POP11  compiler.  (See  also  REF  *ITEMISE,  REF

        --- Procedures that support the Prolog system in Poplog

        --- Properties (association tables) (See also HELP *PROPERTIES)

    REF *PWM
        --- The original Poplog Window Manager (now defunct, as it
        requires Sunview).

        ---  The  reference  and  boolean  data  types  (See  also
        HELP *RECORDS)

        --- Overview of REF files, with the information presented here.

        --- Describes the format of REF files, explains the  conventions
        used  to  indicate  the  types  of  arguments  and  results   of
        procedures, and provides some VED utilities to help creation  of
        REF files in the proper format.

        --- Describes the Pop-11 regular expression matcher, used in VED
        and other Poplog facilities, for searching in strings.

        --- Sections (hierarchies  of permanent  identifiers) (See  also

        --- Mechanisms for bridging the gap between Pop-11 data
        structures and external structures, e.g. for C programs.

        ---  Contents now transferred to REF *ASYNC.

        --- A set of procedures for creating and operating on Unix

        --- The POP11 stack and procedures for operating on it (See also

        --- Strings (See also HELP *STRINGS)

        --- Describes mechanisms for  handling sub-systems like  Prolog,
        Pop-11, Lisp, ML and switching conveniently between them.

        --- Information on POP11 syntax words (See also *PROGRAMMING)

        --- Device  Input  &  Output  procedures,  including  pipes  and

        --- Various Poplog system control procedures, including starting
        up, interrupts, saving and restoring saved images, etc.

        --- Operating System utility procedures

        --- Date and Time and Timer procedures

        --- Information about tracing Pop-11 procedures.

        --- Standard full vectors (see also HELP *VECTORS)

    REF *VED
        --- Overview of REF files about the Poplog editor, VED

        --- Summary of VED <ENTER> commands

        --- Summary of VED system procedures

        --- Summary of  VED terminal types  and terminal  initialisation

        --- Summary of VED's global control variables

        --- The Poplog Virtual Machine (See also TEACH *VM)

        --- Words and the Poplog dictionary mechanism.

        --- Variables and procedures associated with Windowed VED,
        i.e. XVed and PWM.

There are additional REF files to be found in


and, at least in Poplog versions 14.5 and 15.0,

        --- Information about the objectclass system
        Available as REF * OBJECTCLASS after the pop11 command

            uses objectclass

        --- Information about the graphical object system
        [NOW REMOVED.
        It was too buggy and unfinished to include by default]

-- VMS DCL or UNIX shell commands in Pop-11

(A) For UNIX users:

You can give a UNIX Shell command by typing a dollar as the first symbol
on the line, followed by the command, e.g.

    $ ls -l *.p

On UNIX if you use a percent symbol '%' instead of the dollar, you'll
get the CSHELL rather than the SHELL.

In either case you can use the character '~' in file names to
identify a user's login directory. E.g.

    % ls ~fred

will get a listing of fred's directory (if it is readable by you).

If you use '!' as the shell "escape" character, then you will get
whichever shell is the currently value of the Unix environment
variable $SHELL

To switch temporarily to a sub-SHELL, so that you can give a series
of commands, type one of '%', '$' or '!' on its own, at the
beginning of a line. Pop-11 will be temporarily suspended, and you
can give SHELL commands. Later, you can leave the shell by typing
the end of file character (CTRL-D), or typing 'exit', after which
you will return to where you were in POP, or VED.

(B) For VAX VMS users:

DCL commands can be given by typing the dollar as the first symbol on
the line, e.g.

    $ show time


    $ dir *.p

If you type the dollar on its own at the beginning of a line it will
spawn a new sub-process running DCL. You can type several DCL commands,
and then type "q" to terminate the DCL process and return to Pop-11.

See also the following facilities for invoking a shell or DCL from
a VED window:

    ved_imcsh ved_imsh ved_imdcl

-- ADDITIONAL READING -------------------------------------------------


    Summary of online documentation about Pop-11.

    Overview of the online REF files which give the "definitive"
    definition of the language.

    This gives an overview of the main object oriented extension to
    Pop-11, still under development.
        This can be read after doing:
                lib objectclass

    An older object oriented extension to Pop-11, based on message
    passing and much influenced by Smalltalk.

    Gives an overview of online documentation available in Poplog.

See also the books and articles in

James Anderson, editor, Pop-11 Comes of Age
Ellis Horwood, 1989

This is a collection of papers on the history of dialects of Pop, the
features and benefits of the language, and some applications using

This document may be freely copied and distributed, as long as the
following copyright notice is included. Please send comments and
corrections to

--- $usepop/pop/teach/primer
--- Copyright University of Birmingham 2011. All rights reserved. ------