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@setcontentsaftertitlepage
@set VERSION: 5.1.1This file documents the YAP Prolog System version No value for VERSION, a high-performance Prolog compiler developed at LIACC, Universidade do Porto. YAP is based on David H. D. Warren's WAM (Warren Abstract Machine), with several optimizations for better performance. YAP follows the Edinburgh tradition, and is largely compatible with DEC-10 Prolog, Quintus Prolog, and especially with C-Prolog.
This file contains extracts of the SWI-Prolog manual, as written by Jan Wielemaker. Our thanks to the author for his kind permission in allowing us to include his text in this document.
| Introduction | ||
| 1. Installing YAP | Installation | |
| 2. Running YAP | ||
| 3. Syntax | The syntax of YAP | |
| 4. Loading Programs | Loading Prolog programs | |
| 5. The Module System | Using Modules in YAP | |
| 6. Built-In Predicates | ||
| 7. Library Predicates | ||
| 8. SWI-Prolog Emulation | SWI-Prolog emulation | |
| 9. Extensions to Prolog | Extensions to Standard YAP | |
| 9.1 Rational Trees | Working with Rational Trees | |
| 9.2 Coroutining | Changing the Execution of Goals | |
| 10. Attributed Variables | Using attributed Variables | |
| 11. Constraint Logic Programming over Reals | The CLP(R) System | |
| 12. CHR: Constraint Handling Rules | The CHR System | |
| 13. Logtalk | The Logtalk Object-Oriented System | |
| 14. Threads | Thread Library | |
| 15. Parallelism | Running in Or-Parallel | |
| 16. Tabling | Storing Intermediate Solutions of programs | |
| 18. Profiling the Abstract Machine | Profiling Abstract Machine Instructions | |
| 17. Tracing at Low Level | Tracing at Abstract Machine Level | |
| 19. Debugging | Using the Debugger | |
| 20. Efficiency Considerations | ||
| 21. C Language interface to YAP | Interfacing predicates written in C | |
| 22. Using YAP as a Library | Using YAP as a library in other programs | |
| 23. Compatibility with Other Prolog systems | Compatibility with other Prolog systems | |
| Predicate Index | An item for each predicate | |
| Concept Index | An item for each concept | |
Built In Predicates | ||
|---|---|---|
| 6.1 Control Predicates | Controlling the execution of Prolog programs | |
| 6.2 Handling Undefined Procedures | Handling calls to Undefined Procedures | |
| 6.3 Predicates on terms | Predicates on Terms | |
| 6.4 Comparing Terms | Comparison of Terms | |
| 6.5 Arithmetic | Arithmetic in YAP | |
| 6.6 I/O Predicates | Input/Output with YAP | |
| 6.7 Using the Clausal Data Base | Modifying Prolog's Database | |
| 6.10 Collecting Solutions to a Goal | Finding All Possible Solutions | |
| 6.11 Grammar Rules | ||
| 6.17 Predicate Information | ||
| 6.12 Access to Operating System Functionality | ||
| 6.13 Term Modification | Updating Prolog Terms | |
| 6.14 Profiling Prolog Programs | Profiling Prolog Execution | |
| 6.15 Counting Calls | Limiting the Maximum Number of Reductions | |
| 6.16 Arrays | Supporting Global and Local Arrays | |
| 6.17 Predicate Information | Information on Predicates | |
| 6.18 Miscellaneous | Miscellaneous Predicates | |
Subnodes of Running | ||
| 2.1 Running Yap Interactively | Interacting with Yap | |
| 2.2 Running Prolog Files | Running Prolog files as scripts | |
Subnodes of Syntax | ||
| 3.1 Syntax of Terms | ||
| 3.2 Prolog Tokens | Syntax of Prolog tokens | |
Subnodes of Tokens | ||
| 3.2.1 Numbers | Integer and Floating-Point Numbers | |
| 3.2.2 Character Strings | Sequences of Characters | |
| 3.2.3 Atoms | Atomic Constants | |
| 3.2.4 Variables | Logical Variables | |
| 3.2.5 Punctuation Tokens | Tokens that separate other tokens | |
| 3.2.6 Layout | Comments and Other Layout Rules | |
Subnodes of Numbers | ||
| 3.2.1.1 Integers | How Integers are read and represented | |
| 3.2.1.2 Floating-point Numbers | Floating Point Numbers | |
Subnodes of Loading Programs | ||
| 4.1 Program loading and updating | Program Loading and Updating | |
| 4.2 Changing the Compiler's Behavior | Changing the compiler's parameters | |
| 4.3 Saving and Loading Prolog States | Saving and Restoring Programs | |
Subnodes of Modules | ||
| 5.1 Module Concepts | The Key Ideas in Modules | |
| 5.2 Defining a New Module | How To Define a New Module | |
| 5.3 Using Modules | How to Use a Module | |
| 5.4 Meta-Predicates in Modules | How to Handle New Meta-Predicates | |
Subnodes of Input/Output | ||
| 6.6.1 Handling Streams and Files | ||
| 6.6.2 Handling Streams and Files | C-Prolog Compatible File Handling | |
| 6.6.3 Handling Input/Output of Terms | Input/Output of terms | |
| 6.6.4 Handling Input/Output of Characters | Input/Output of Characters | |
| 6.6.5 Input/Output Predicates applied to Streams | Input/Output using Streams | |
| 6.6.6 Compatible C-Prolog predicates for Terminal I/O | C-Prolog compatible Character I/O to terminal | |
| 6.6.7 Controlling Input/Output | Controlling your Input/Output | |
| 6.6.8 Using Sockets From Yap | Using Sockets from YAP | |
Subnodes of Database | ||
| 6.7.1 Modification of the Data Base | Asserting and Retracting | |
| 6.7.2 Looking at the Data Base | Finding out what is in the Data Base | |
| 6.7.3 Using Data Base References | ||
| 6.8 Internal Data Base | YAP's Internal Database | |
| 6.9 The Blackboard | Storing and Fetching Terms in the BlackBoard | |
Subnodes of Library | ||
| 7.1 Apply Macros | Apply a Predicate to a list or to sub-terms. | |
| 7.2 Association Lists | Binary Tree Implementation of Association Lists. | |
| 7.3 AVL Trees | Predicates to add and lookup balanced binary trees. | |
| 7.4 Heaps | Labelled binary tree where the key of each node is less than or equal to the keys of its children. | |
| 7.5 List Manipulation | ||
| 7.6 Ordered Sets | Ordered Set Manipulation | |
| 7.7 Pseudo Random Number Integer Generator | Pseudo Random Numbers | |
| 7.8 Queues | Queue Manipulation | |
| 7.9 Random Number Generator | Random Numbers | |
| 7.10 Red-Black Trees | Predicates to add, lookup and delete in red-black binary trees. | |
| 7.11 Regular Expressions | Regular Expression Manipulation | |
| 7.12 Splay Trees | ||
| 7.13 Reading From and Writing To Strings | Writing To and Reading From Strings | |
| 7.14 Calling The Operating System from YAP | System Utilities | |
| 7.15 Utilities On Terms | Utilities on Terms | |
| 7.16 Call Cleanup | Call With registered Cleanup Calls | |
| 7.17 Calls With Timeout | Call With Timeout | |
| 7.18 Updatable Binary Trees | ||
| 7.19 Unweighted Graphs | ||
| 7.20 Directed Graphs | Directed Graphs Implemented With Red-Black Trees | |
| 7.21 Undirected Graphs | Undirected Graphs Using DGraphs | |
Subnodes of Debugging | ||
| 19.1 Debugging Predicates | ||
| 19.2 Interacting with the debugger | ||
Subnodes of Compatibility | ||
| 23.1 Compatibility with the C-Prolog interpreter | ||
| 23.2 Compatibility with the Quintus and SICStus Prolog systems | ||
| 23.3 Compatibility with the ISO Prolog standard | ||
Subnodes of Attributes | ||
| 10.1 Attribute Declarations | Declaring New Attributes | |
| 10.2 Attribute Manipulation | Setting and Reading Attributes | |
| 10.3 Attributed Unification | Tuning the Unification Algorithm | |
| 10.4 Displaying Attributes | Displaying Attributes in User-Readable Form | |
| 10.5 Projecting Attributes | Obtaining the Attributes of Interest | |
| 10.6 Attribute Examples | Two Simple Examples of how to use Attributes. | |
Subnodes of SWI-Prolog | ||
| 8.1 Invoking Predicates on all Members of a List | maplist and friends | |
| 8.2 Forall | forall built-in | |
| 8.3 hProlog and SWI-Prolog Attributed Variables | Emulating SWI-like attributed variables | |
| 8.4 SWI Global variables | Emulating SWI-like attributed variables | |
Subnodes of CLPR | ||
| 11.1 Solver Predicates | ||
| 11.2 Syntax of the predicate arguments | ||
| 11.3 Use of unification | ||
| 11.4 Non-Linear Constraints | ||
Subnodes of CHR | ||
| 12.1 Introduction | ||
| 12.2 Syntax and Semantics | ||
| 12.3 CHR in YAP Programs | ||
| 12.4 Debugging | ||
| 12.5 Examples | ||
| 12.6 Compatibility with SICStus CHR | ||
| 12.7 Guidelines | ||
Subnodes of C-Interface | ||
| 21.1 Terms | Primitives available to the C programmer | |
| 21.2 Unification | How to Unify Two Prolog Terms | |
| 21.3 Strings | From character arrays to Lists of codes and back | |
| 21.4 Memory Allocation | Stealing Memory From Yap | |
21.5 Controlling Yap Streams from C | Control How Yap sees Streams | |
21.6 From C back to Prolog | From C to Yap to C to Yap | |
| 21.7 Writing predicates in C | Writing Predicates in C | |
| 21.8 Loading Object Files | ||
| 21.9 Saving and Restoring | ||
| 21.10 Changes to the C-Interface in Yap4 | Changes in Foreign Predicates Interface | |
Subnodes of C-Prolog | ||
| 23.1.1 Major Differences between YAP and C-Prolog. | ||
| 23.1.2 Yap predicates fully compatible with C-Prolog | Yap predicates fully compatible with | |
C-Prolog | ||
| 23.1.3 Yap predicates not strictly compatible with C-Prolog | Yap predicates not strictly as C-Prolog | |
| 23.1.4 Yap predicates not available in C-Prolog | ||
| 23.1.5 Yap predicates not available in C-Prolog | C-Prolog predicates not available in YAP | |
Subnodes of SICStus Prolog | ||
| 23.2.1 Major Differences between YAP and SICStus Prolog. | ||
| 23.2.2 Yap predicates fully compatible with SICStus Prolog | Yap predicates fully compatible with | |
SICStus Prolog | ||
| 23.2.3 Yap predicates not strictly compatible with SICStus Prolog | Yap predicates not strictly as | |
SICStus Prolog | ||
| 23.2.4 Yap predicates not available in SICStus Prolog | ||
Tables | ||
| A. Summary of Yap Predefined Operators | Predefined operators | |
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This document provides User information on version No value for VERSION of YAP (yet another prolog). The YAP Prolog System is a high-performance Prolog compiler developed at LIACC, Universidade do Porto. YAP provides several important features:
YAP is based on the David H. D. Warren's WAM (Warren Abstract Machine), with several optimizations for better performance. YAP follows the Edinburgh tradition, and was originally designed to be largely compatible with DEC-10 Prolog, Quintus Prolog, and especially with C-Prolog.
YAP implements most of the ISO-Prolog standard. We are striving at full compatibility, and the manual describes what is still missing. The manual also includes a (largely incomplete) comparison with SICStus Prolog.
The document is intended neither as an introduction to Prolog nor to the implementation aspects of the compiler. A good introduction to programming in Prolog is the book The Art of Prolog, by L. Sterling and E. Shapiro, published by "The MIT Press, Cambridge MA". Other references should include the classical Programming in Prolog, by W.F. Clocksin and C.S. Mellish, published by Springer-Verlag.
YAP 4.3 is known to build with many versions of gcc (<= gcc-2.7.2, >= gcc-2.8.1, >= egcs-1.0.1, gcc-2.95.*) and on a variety of Unixen: SunOS 4.1, Solaris 2.*, Irix 5.2, HP-UX 10, Dec Alpha Unix, Linux 1.2 and Linux 2.* (RedHat 4.0 thru 5.2, Debian 2.*) in both the x86 and alpha platforms. It has been built on Windows NT 4.0 using Cygwin from Cygnus Solutions (see README.nt) and using Visual C++ 6.0.
The overall copyright and permission notice for YAP4.3 can be found in the Artistic file in this directory. YAP follows the Perl Artistic license, and it is thus non-copylefted freeware.
If you have a question about this software, desire to add code, found a bug, want to request a feature, or wonder how to get further assistance, please send e-mail to yappers@ncc.up.pt. To subscribe to the mailing list, send a request to majordomo@ncc.up.pt with body "subscribe yappers".
Online documentation is available for YAP at:
http://www.ncc.up.pt/~vsc/Yap/
Recent versions of Yap, including both source and selected binaries, can be found from this same URL.
This manual was written by Vítor Santos Costa, Luís Damas, Rogério Reis, and Rúben Azevedo. The manual is largely based on the DECsystem-10 Prolog User's Manual by D.L. Bowen, L. Byrd, F. C. N. Pereira, L. M. Pereira, and D. H. D. Warren. We have also used comments from the Edinburgh Prolog library written by R. O'Keefe. We would also like to gratefully acknowledge the contributions from Ashwin Srinivasian.
We are happy to include in YAP several excellent packages developed under separate licenses. Our thanks to the authors for their kind authorization to include these packages.
The packages are, in alphabetical order:
Copyright © 1998-2006 Paulo Moura
for more information on SWI-Prolog and for a detailed description of its foreign interface.
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| 1.1 Tuning the Functionality of YAP | Tuning the Functionality of YAP Machine | |
| 1.2 Tuning YAP for a Particular Machine and Compiler |
To compile YAP it should be sufficient to:
mkdir ARCH.
cd ARCH.
../configure ...options....
Notice that by default configure gives you a vanilla
configuration. For instance, in order to use coroutining and/or CLP
you need to do
../configure --enable-coroutining ...options... |
Please see section Tuning the Functionality of YAP for extra options.
YAP uses autoconf. Recent versions of Yap try to follow GNU
conventions on where to place software.
BINDIR. This executable is
actually a script that calls the Prolog engine, stored at LIBDIR.
LIBDIR is the directory where libraries are stored. YAPLIBDIR is a
subdirectory that contains the Prolog engine and a Prolog library.
INCLUDEDIR is used if you want to use Yap as a library.
INFODIR is where to store info files. Usually
/usr/local/info, /usr/info, or /usr/share/info.
make.
./yap.
make install.
make install-info will create the info files in the
standard info directory.
make html will create documentation in html format in the
predefined directory.
In most systems you will need to be superuser in order to do make
install and make info on the standard directories.
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Compiling Yap with the standard options give you a plain vanilla
Prolog. You can tune Yap to include extra functionality by calling
configure with the appropriate options:
--enable-rational-trees=yes gives you support for infinite
rational trees.
--enable-coroutining=yes gives you support for coroutining,
including freezing of goals, attributed variables, and
constraints. This will also enable support for infinite rational
trees.
--enable-depth-limit=yes allows depth limited evaluation, say for
implementing iterative deepening.
--enable-low-level-tracer=yes allows support for tracing all calls,
retries, and backtracks in the system. This can help in debugging your
application, but results in performance loss.
--enable-wam-profile=yes allows profiling of abstract machine
instructions. This is useful when developing YAP, should not be so
useful for normal users.
--enable-condor=yes allows using the Condor system that
support High Throughput Computing (HTC) on large collections of
distributively owned computing resources.
--enable-tabling=yes allows tabling support. This option
is still experimental.
--enable-parallelism={env-copy,sba,a-cow} allows
or-parallelism supported by one of these three forms. This option is
still highly experimental.
--with-gmp[=DIR] give a path to where one can find the
GMP library if not installed in the default path.
Next follow machine dependent details:
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The default options should give you best performance under
GCC. Although the system is tuned for this compiler
we have been able to compile versions of Yap under lcc in Linux,
Sun's cc compiler, IBM's xlc, SGI's cc, and Microsoft's Visual C++
6.0.
1.3 Tuning YAP for GCC. | Using the GNUCC compiler | |
| 1.3.1 Compiling Under Visual C++ | Using Microsoft's Visual C++ environment | |
| 1.3.2 Compiling Under SGI's cc | Compiling Under SGI's cc
|
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GCC. Yap has been developed to take advantage of GCC (but not to
depend on it). The major advantage of GCC is threaded code and
explicit register reservation.
YAP is set by default to compile with the best compilation flags we know. Even so, a few specific options reduce portability. The option
--enable-max-performance=yes will try to support the best
available flags for a specific architectural model. Currently, the option
assumes a recent version of GCC.
--enable-debug-yap compiles Yap so that it can be debugged
by tools such as dbx or gdb.
Here follow a few hints:
On x86 machines the flags:
YAP_EXTRAS= ... -DBP_FREE=1 |
tells us to use the %bp register (frame-pointer) as the emulator's
program counter. This seems to be stable and is now default.
On Sparc/Solaris2 use:
YAP_EXTRAS= ... -mno-app-regs -DOPTIMISE_ALL_REGS_FOR_SPARC=1 |
and YAP will get two extra registers! This trick does not work on SunOS 4 machines.
Note that versions of GCC can be tweaked to recognize different processors within the same instruction set, e.g. 486, Pentium, and PentiumPro for the x86; or Ultrasparc, and Supersparc for Sparc. Unfortunately, some of these tweaks do may make Yap run slower or not at all in other machines with the same instruction set, so they cannot be made default.
Last, the best options also depends on the version of GCC you are using, and
it is a good idea to consult the GCC manual under the menus "Invoking
GCC"/"Submodel Options". Specifically, you should check
-march=XXX for recent versions of GCC/EGCS. In the case of
GCC2.7 and other recent versions of GCC you can check:
486:In order to take advantage of 486 specific optimizations in GCC 2.7.*:
YAP_EXTRAS= ... -m486 -DBP_FREE=1 |
Pentium:YAP_EXTRAS= ... -m486 -malign-loops=2 -malign-jumps=2 \
-malign-functions=2
|
PentiumPro and other recent Intel and AMD machines:PentiumPros are known not to require alignment. Check your version of
GCC for the best -march option.
Super and UltraSparcs:YAP_EXTRAS= ... -msupersparc |
MIPS: if have a recent machine and you need a 64 bit wide addressspace you can use the abi 64 bits or eabi option, as in:
CC="gcc -mabi=64" ./configure --... |
Be careful. At least for some versions of GCC, compiling with
-g seems to result in broken code.
WIN32: GCC is distributed in the MINGW32 and CYGWIN packages.The Mingw32 environment is available from the URL:
http://www.mingw.org
You will need to install the msys and mingw
packages. You should be able to do configure, make and make install.
If you use mingw32 you may want to search the contributed packages for
the gmp multi-precision arithmetic library. If you do setup Yap
with gmp note that libgmp.dll must be in the path,
otherwise Yap will not be able to execute.
CygWin environment is available from the URL:
http://www.cygwin.com
and mirrors. We suggest using recent versions of the cygwin shell. The compilation steps under the cygwin shell are as follows:
mkdir cyg
$YAPSRC/configure --enable-coroutining \\
--enable-depth-limit \\
--enable-max-performance
make
make install
|
By default, Yap will use the --enable-cygwin=no option to
disable the use of the cygwin dll and to enable the mingw32 subsystem
instead. Yap thus will not need the cygwin dll. It instead accesses
the system's CRTDLL.DLL C run time library supplied with
Win32 platforms through the mingw32 interface. Note that some older
WIN95 systems may not have CRTDLL.DLL, in this case it should
be sufficient to import the file from a newer WIN95 or WIN98 machine.
You should check the default installation path which is set to
/Yap in the standard Makefile. This string will usually
be expanded into c:\Yap by Windows.
The cygwin environment does not provide gmp. You can fetch a dll for the gmp library from http://www.sf.net/projects/mingwrep.
It is also possible to configure Yap to be a part of the cygwin environment. In this case you should use:
mkdir cyg
$YAPSRC/configure --enable-coroutining \\
--enable-max-performance \\
--enable-cygwin=yes
make
make install
|
Yap will then compile using the cygwin library and will be installed
in cygwin's /usr/local. You can use Yap from a cygwin console,
or as a standalone application as long as it can find
cygwin1.dll in its path.
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Yap compiles cleanly under Microsoft's Visual C++ release 6.0. We next give a step-by-step tutorial on how to compile Yap manually using this environment.
First, it is a good idea to build Yap as a DLL:
Notice that either the project is named yapdll or you must replace the
preprocessors variable YAPDLL_EXPORTS to match your project names
in the files YapInterface.h and c_interface.c.
Source Files (use
FileView).
Header Files.
m4 to generate extra .h from .m4 files and use
configure to create a config.h. Or, you can be lazy, and
fetch these files from $YAPSRC\VC\include.
Build.Set Active Configuration and set Project
Type to Release
Project.Project Settings.C/C++.Preprocessor.Additional
Include Directories to include the directories $YAPSRC\H,
$YAPSRC\VC\include, $YAPSRC\OPTYap and
$YAPSRC\include. The syntax is:
$YAPSRC\H, $YAPSRC\VC\include, $YAPSRC\OPTYap, $YAPSRC\include |
yapdll.dll and an yapdll.lib.
yapdll.dll to your path. The file
yapdll.lib should also be copied to a location where the linker can find it.
Now you are ready to create a console interface for Yap:
wyap with File.New. The project will be a
WIN32 console project, initially empty.
Source Files.
Header Files.
Build.Set Active Configuration and set
Project Type to Release.
boot.yap, so write:
-b $YAPSRC\pl\boot.yap |
in Project.Project Settings.Debug.Program Arguments.
ws2_32.lib yapdll.lib to |
to
to Project.Project Settings.Link.Object/Library Modules
You may also need to set the Link Path so that VC++ will find yapdll.lib.
Project.Project Settings.C/C++.Preprocessor.Additional
Include Directories to include the $YAPSRC/VC/include and
$YAPSRC/include.
The syntax is:
$YAPSRC\VC\include, $YAPSRC\include |
Build.Start Debug to boot the system, and then create the saved state with
['$YAPSRC\\pl\\init']. save_program(startup). ^Z |
That's it, you've got Yap and the saved state!
The $YAPSRC\VC directory has the make files to build Yap4.3.17 under VC++ 6.0.
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YAP should compile under the Silicon Graphic's cc compiler,
although we advise using the GNUCC compiler, if available.
64 bitSupport for 64 bits should work by using (under Bourne shell syntax):
CC="cc -64" $YAP_SRC_PATH/configure --... |
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| 2.1 Running Yap Interactively | Interacting with Yap | |
| 2.2 Running Prolog Files | Running Prolog files as scripts |
We next describe how to invoke Yap in Unix systems.
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Most often you will want to use Yap in interactive mode. Assuming that YAP is in the user's search path, the top-level can be invoked under Unix with the following command:
yap [-s n] [-h n] [-a n] [-c IP_HOST port ] [filename] |
All the arguments and flags are optional and have the following meaning:
-?print a short error message.
-s nallocate n K bytes for local and global stacks
-h nallocate n K bytes for heap and auxiliary stacks
-t nallocate n K bytes for the trail stack
-l YAP_FILEcompile the Prolog file YAP_FILE before entering the top-level.
-L YAP_FILEcompile the Prolog file YAP_FILE and then halt. This option is useful for implementing scripts.
-g Goalrun the goal Goal before top-level. The goal is converted from an atom to a Prolog term.
-z Goalrun the goal Goal as top-level. The goal is converted from an atom to a Prolog term.
-b BOOT_FILEboot code is in Prolog file BOOT_FILE. The filename must define the predicate '$live'/0.
-c IP_HOST portconnect standard streams to host IP_HOST at port port
filenamerestore state saved in the given file
--separator for arguments to Prolog code. These arguments are visible through the unix/1 built-in.
Note that YAP will output an error message on the following conditions:
When restoring a saved state, YAP will allocate the same amount of memory as that in use when the state was saved, unless a different amount is specified by flags in the command line. By default, YAP restores the file `startup' from the current directory or from the YAP library.
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YAP can also be used to run Prolog files as scripts, at least in Unix-like environments. A simple example is shown next:
|
The #! characters specify that the script should call the binary
file Yap. Notice that many systems will require the complete path to the
Yap binary. The -L flag indicates that YAP should consult the
current file when booting and then halt. The remaining arguments are
then passed to YAP. Note that YAP will skip the first lines if they
start with # (the comment sign for Unix's shell). YAP will
consult the file and execute any commands.
A slightly more sophisticated example is:
|
The initialization directive tells Yap to execute the goal main
after consulting the file. Source code is thus compiled and main
executed at the end. The . is useful while debugging the script
as a Prolog program: it guarantees that the syntax error will not
propagate to the Prolog code.
Notice that the -- is required so that the shell passes the extra
arguments to YAP. As an example, consider the following script
dump_args:
|
If you this run this script with the arguments:
./dump_args -s 10000 |
the script will start an YAP process with stack size 10MB, and
the list of arguments to the process will be empty.
Often one wants to run the script as any other program, and for this it
is convenient to ignore arguments to YAP. This is possible by using
L -- as in the next version of dump_args:
|
The -- indicates the next arguments are not for YAP. Instead,
they must be sent directly to the argv built-in. Hence, running
./dump_args test |
will write test on the standard output.
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We will describe the syntax of YAP at two levels. We first will describe the syntax for Prolog terms. In a second level we describe the tokens from which Prolog terms are built.
| 3.1 Syntax of Terms | Syntax of terms | |
| 3.2 Prolog Tokens | Syntax of Prolog tokens |
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Below, we describe the syntax of YAP terms from the different classes of tokens defined above. The formalism used will be BNF, extended where necessary with attributes denoting integer precedence or operator type.
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Notes:
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versus
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Prolog tokens are grouped into the following categories:
| 3.2.1 Numbers | Integer and Floating-Point Numbers | |
| 3.2.2 Character Strings | Sequences of Characters | |
| 3.2.3 Atoms | Atomic Constants | |
| 3.2.4 Variables | Logical Variables | |
| 3.2.5 Punctuation Tokens | Tokens that separate other tokens | |
| 3.2.6 Layout | Comments and Other Layout Rules |
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Numbers can be further subdivided into integer and floating-point numbers.
| 3.2.1.1 Integers | How Integers are read and represented | |
| 3.2.1.2 Floating-point Numbers | Floating Point Numbers |
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Integer numbers are described by the following regular expression:
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where {...} stands for optionality, + optional repetition (one or
more times), <digit> denotes one of the characters 0 ... 9, |
denotes or, and <single-quote> denotes the character "'". The digits
before the <single-quote> character, when present, form the number
basis, that can go from 0, 1 and up to 36. Letters from A to
Z are used when the basis is larger than 10.
Note that if no basis is specified then base 10 is assumed. Note also that the last digit of an integer token can not be immediately followed by one of the characters 'e', 'E', or '.'.
Following the ISO standard, YAP also accepts directives of the
form 0x to represent numbers in hexadecimal base and of the form
0o to represent numbers in octal base. For usefulness,
YAP also accepts directives of the form 0X to represent
numbers in hexadecimal base.
Example: the following tokens all denote the same integer
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Numbers of the form 0'a are used to represent character
constants. So, the following tokens denote the same integer:
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YAP (version No value for VERSION) supports integers that can fit the word size of the machine. This is 32 bits in most current machines, but 64 in some others, such as the Alpha running Linux or Digital Unix. The scanner will read larger or smaller integers erroneously.
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Floating-point numbers are described by:
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where <dot> denotes the decimal-point character '.', <exponent-marker> denotes one of 'e' or 'E', and <sign> denotes one of '+' or '-'.
Examples:
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Floating-point numbers are represented as a double in the target machine. This is usually a 64-bit number.
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Strings are described by the following rules:
string --> '"' string_quoted_characters '"'
string_quoted_characters --> '"' '"' string_quoted_characters
string_quoted_characters --> '\'
escape_sequence string_quoted_characters
string_quoted_characters -->
string_character string_quoted_characters
escape_sequence --> 'a' | 'b' | 'r' | 'f' | 't' | 'n' | 'v'
escape_sequence --> '\' | '"' | ''' | '`'
escape_sequence --> at_most_3_octal_digit_seq_char '\'
escape_sequence --> 'x' at_most_2_hexa_digit_seq_char '\'
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where string_character in any character except the double quote
and escape characters.
Examples:
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The first string is an empty string, the last string shows the use of double-quoting. The implementation of YAP represents strings as lists of integers. Since Yap4.3.0 there is no static limit on string size.
Escape sequences can be used to include the non-printable characters
a (alert), b (backspace), r (carriage return),
f (form feed), t (horizontal tabulation), n (new
line), and v (vertical tabulation). Escape sequences also be
include the meta-characters \, ", ', and
`. Last, one can use escape sequences to include the characters
either as an octal or hexadecimal number.
The next examples demonstrates the use of escape sequences in YAP:
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The first three examples return a list including only character 12 (form feed). The last example escapes the escape character.
Escape sequences were not available in C-Prolog and in original versions of YAP up to 4.2.0. Escape sequences can be disable by using:
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Atoms are defined by one of the following rules:
atom --> solo-character atom --> lower-case-letter name-character* atom --> symbol-character+ atom --> single-quote single-quote atom --> ''' atom_quoted_characters ''' atom_quoted_characters --> ''' ''' atom_quoted_characters atom_quoted_characters --> '\' atom_sequence string_quoted_characters atom_quoted_characters --> character string_quoted_characters |
where:
<solo-character> denotes one of: ! ;
<symbol-character> denotes one of: # & * + - . / : <
= > ? @ \ ^ ` ~
<lower-case-letter> denotes one of: a...z
<name-character> denotes one of: _ a...z A...Z 0....9
<single-quote> denotes: '
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and string_character denotes any character except the double quote
and escape characters. Note that escape sequences in strings and atoms
follow the same rules.
Examples:
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Version 4.2.0 of YAP removed the previous limit of 256
characters on an atom. Size of an atom is now only limited by the space
available in the system.
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Variables are described by:
<variable-starter><variable-character>+ |
where
<variable-starter> denotes one of: _ A...Z <variable-character> denotes one of: _ a...z A...Z |
If a variable is referred only once in a term, it needs not to be named
and one can use the character _ to represent the variable. These
variables are known as anonymous variables. Note that different
occurrences of _ on the same term represent different
anonymous variables.
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Punctuation tokens consist of one of the following characters:
( ) , [ ] { } |
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These characters are used to group terms.
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Any characters with ASCII code less than or equal to 32 appearing before a token are ignored.
All the text appearing in a line after the character % is taken to
be a comment and ignored (including %). Comments can also be
inserted by using the sequence /* to start the comment and
*/ to finish it. In the presence of any sequence of comments or
layout characters, the YAP parser behaves as if it had found a
single blank character. The end of a file also counts as a blank
character for this purpose.
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consult(+F)Adds the clauses written in file F or in the list of files F to the program.
In YAP consult/1 does not remove previous clauses for
the procedures defined in F. Moreover, note that all code in YAP
is compiled.
reconsult(+F)Updates the program replacing the previous definitions for the predicates defined in F.
[+F]The same as consult(F).
[-+F]The same as reconsult(F)
Example:
?- [file1, -file2, -file3, file4]. |
will consult file1 file4 and reconsult file2 and
file3.
compile(+F)In YAP, the same as reconsult/1.
ensure_loaded(+F) [ISO]When the files specified by F are module files,
ensure_loaded/1 loads them if they have note been previously
loaded, otherwise advertises the user about the existing name clashes
and prompts about importing or not those predicates. Predicates which
are not public remain invisible.
When the files are not module files, ensure_loaded/1 loads them
if they have not been loaded before, does nothing otherwise.
F must be a list containing the names of the files to load.
include(+F) [ISO]The include directive includes the text files or sequence of text
files specified by F into the file being currently consulted.
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This section presents a set of built-ins predicates designed to set the environment for the compiler.
source_mode(-O,+N)The state of source mode can either be on or off. When the source mode is on, all clauses are kept both as compiled code and in a "hidden" database. O is unified with the previous state and the mode is set according to N.
sourceAfter executing this goal, YAP keeps information on the source
of the predicates that will be consulted. This enables the use of
listing/0, listing/1 and clause/2 for those
clauses.
The same as source_mode(_,on) or as declaring all newly defined
static procedures as public.
no_sourceThe opposite to source.
The same as source_mode(_,off).
compile_expressionsAfter a call to this predicate, arithmetical expressions will be compiled. (see example below). This is the default behavior.
do_not_compile_expressionsAfter a call to this predicate, arithmetical expressions will not be compiled.
?- source, do_not_compile_expressions.
yes
?- [user].
| p(X) :- X is 2 * (3 + 8).
| :- end_of_file.
?- compile_expressions.
yes
?- [user].
| q(X) :- X is 2 * (3 + 8).
| :- end_of_file.
:- listing.
p(A):-
A is 2 * (3 + 8).
q(A):-
A is 22.
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hide(+Atom)Make atom Atom invisible.
unhide(+Atom)Make hidden atom Atom visible.
hide_predicate(+Pred)Make predicate Pred invisible to current_predicate/2,
listing, and friends.
expand_exprs(-O,+N)Puts YAP in state N (on or off) and unify
O with the previous state, where On is equivalent to
compile_expressions and off is equivalent to
do_not_compile_expressions. This predicate was kept to maintain
compatibility with C-Prolog.
path(-D)Unifies D with the current directory search-path of YAP.
Note that this search-path is only used by YAP to find the
files for consult/1, reconsult/1 and restore/1 and
should not be taken for the system search path.
add_to_path(+D)Adds D to the end of YAP's directory search path.
add_to_path(+D,+N)Inserts D in the position, of the directory search path of
YAP, specified by N. N must be either of
first or last.
remove_from_path(+D)Remove D from YAP's directory search path.
style_check(+X)Turns on style checking according to the attribute specified by X, which must be one of the following:
single_varChecks single occurrences of named variables in a clause.
discontiguousChecks non-contiguous clauses for the same predicate in a file.
multipleChecks the presence of clauses for the same predicate in more than one
file when the predicate has not been declared as multifile
allPerforms style checking for all the cases mentioned above.
By default, style checking is disabled in YAP unless we are in
sicstus or iso language mode.
The style_check/1 built-in is now deprecated. Please use the
set_prolog_flag/1 instead.
no_style_check(+X)Turns off style checking according to the attribute specified by
X, which has the same meaning as in style_check/1.
The no_style_check/1 built-in is now deprecated. Please use the
set_prolog_flag/1 instead.
multifile P [ISO]Instructs the compiler about the declaration of a predicate P in more than one file. It must appear in the first of the loaded files where the predicate is declared, and before declaration of any of its clauses.
Multifile declarations affect reconsult/1 and compile/1:
when a multifile predicate is reconsulted, only the clauses from the
same file are removed.
Since Yap4.3.0 multifile procedures can be static or dynamic.
discontiguous(+G) [ISO]Declare that the arguments are discontiguous procedures, that is, clauses for discontigous procedures may be separated by clauses from other procedures.
initialization(+G) [ISO]The compiler will execute goals G after consulting the current file.
library_directory(+D)Succeeds when D is a current library directory name. Library
directories are the places where files specified in the form
library(File) are searched by the predicates
consult/1, reconsult/1, use_module/1 or
ensure_loaded/1.
file_search_path(+NAME,-DIRECTORY)Allows writing file names as compound terms. The NAME and DIRECTORY must be atoms. The predicate may generate multiple solutions. The predicate is originally defined as follows:
file_search_path(library,A) :- library_directory(A). file_search_path(system,A) :- prolog_flag(host_type,A). |
Thus, [library(A)] will search for a file using library_directory/1 to obtain the prefix.
library_directory(+D)Succeeds when D is a current library directory name. Library
directories are the places where files specified in the form
library(File) are searched by the predicates
consult/1, reconsult/1, use_module/1 or
ensure_loaded/1.
prolog_file_name(+Name,-FullPath)Unify FullPath with the absolute path YAP would use to consult file Name.
public P [ISO]Instructs the compiler that the source of a predicate of a list of
predicates P must be kept. This source is then accessible through
the clause/2 procedure and through the listing family of
built-ins.
Note that all dynamic procedures are public. The source directive
defines all new or redefined predicates to be public.
Since Yap4.3.0 multifile procedures can be static or dynamic.
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save(+F)Saves an image of the current state of YAP in file F. From Yap4.1.3 onwards, YAP saved states are executable files in the Unix ports.
save(+F,-OUT)Saves an image of the current state of YAP in file F. From Yap4.1.3 onwards, YAP saved states are executable files in the Unix ports.
Unify OUT with 1 when saving the file and OUT with 0 when restoring the saved state.
save_program(+F)Saves an image of the current state of the YAP database in file F.
save_program(+F, :G)Saves an image of the current state of the YAP database in file F, and guarantee that execution of the restored code will start by trying goal G.
restore(+F)Restores a previously saved state of YAP from file F.
YAP always tries to find saved states from the current directory first. If it cannot it will use the environment variable YAPLIBDIR, if defined, or search the default library directory.
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Module systems are quite important for the development of large applications. YAP implements a module system compatible with the Quintus Prolog module system.
The YAP module system is predicate-based. This means a module consists of a set of predicates (or procedures), such that some predicates are public and the others are local to a module. Atoms and terms in general are global to the system. Moreover, the module system is flat, meaning that we do not support an hierarchy of modules. Modules can automatically import other modules, though. For compatibility with other module systems the YAP module system is non-strict, meaning both that there is both a way to access predicates private to a module and that is possible to declare predicates for a module from some other module.
YAP allows one to ignore the module system if one does not want to use it. Last note that using the module system does not introduce any significant overheads: only meta-calls that cross module boundaries are slowed down by the presence of modules.
| 5.1 Module Concepts | The Key Ideas in Modules | |
| 5.2 Defining a New Module | How To Define a New Module | |
| 5.3 Using Modules | How to Use a Module | |
| 5.4 Meta-Predicates in Modules | How to Handle New Meta-Predicates | |
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The YAP module system applies to predicates. All predicates belong to a
module. System predicates belong to the module primitives, and by
default new predicates belong to the module user. Predicates from
the module primitives are automatically visible to every module.
Every predicate must belong to a module. This module is called its source module.
By default, the source module for a clause occurring in a source file
with a module declaration is the declared module. For goals typed in
a source file without module declarations, their module is the module
the file is being loaded into. If no module declarations exist, this is
the current type-in module. The default type-in module is
user, but one can set the current module by using the built-in
module/1.
Note that in this module system one can explicitly specify the source mode for a clause by prefixing a clause with its module, say:
user:(a :- b). |
In fact, to specify the source module for a clause it is sufficient to specify the source mode for the clause's head:
user:a :- b. |
The rules for goals are similar. If a goal appears in a text file with a module declaration, the goal's source module is the declared module. Otherwise, it is the module the file is being loaded into or the type-in module.
One can override this rule by prefixing a goal with the module it is supposed to be executed into, say:
nasa:launch(apollo,13). |
will execute the goal launch(apollo,13) as if the current source
module was nasa.
Note that this rule breaks encapsulation and should be used with care.
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A new module is defined by a module declaration:
module(+M,+L)This predicate defines the file where it appears as a module file; it
must be the first declaration in the file.
M must be an atom specifying the module name; L must be a list
containing the module's public predicates specification, in the form
[predicate_name/arity,...].
The public predicates of a module file can be made accessible by other
files through the predicates consult/1, reconsult/1,
ensure_loaded/1 or use_module/2. The non-public predicates
of a module file are not visible by other files; they can, however, be
accessed if the module name is prefixed to the file name through the
:/2 operator.
The built-in module/1 sets the current source module:
module(+M,+L, +Options)Similar to module/2, this predicate defines the file where it
appears as a module file; it must be the first declaration in the file.
M must be an atom specifying the module name; L must be a
list containing the module's public predicates specification, in the
form [predicate_name/arity,...].
The last argument Options must be a list of options, which can be:
filenamethe filename for a module to import into the current module.
library(file)a library file to import into the current module.
hide(Opt) if Opt is false, keep source code for current module, if
true, disable.
module(+M)Defines M to be the current working or type-in module. All files
which are not binded to a module are assumed to belong to the working
module (also referred to as type-in module). To compile a non-module
file into a module which is not the working one, prefix the file name
with the module name, in the form Module:File, when
loading the file.
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By default, all procedures to consult a file will load the modules defined therein. The two following declarations allow one to import a module explicitly. They differ on whether one imports all predicate declared in the module or not.
use_module(+F)Loads the files specified by F, importing all their public predicates. Predicate name clashes are resolved by asking the user about importing or not the predicate. A warning is displayed when F is not a module file.
use_module(+F,+L)Loads the files specified by F, importing the predicates specified in the list L. Predicate name clashes are resolved by asking the user about importing or not the predicate. A warning is displayed when F is not a module file.
use_module(?M,?F,+L)If module M has been defined, import the procedures in L to the current module. Otherwise, load the files specified by F, importing the predicates specified in the list L.
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The module system must know whether predicates operate on goals or clauses. Otherwise, such predicates would call a goal in the module they were defined, instead of calling it in the module they are currently executing. So, for instance:
:- module(example,[a/1]). ... a(G) :- call(G) ... |
The expected behavior for this procedure is to execute goal G
within the current module, that is, within example.
On the other hand, when executing call/1 the system only knows
where call/1 was defined, that is, it only knows of
primitives. A similar problem arises for assert/1 and
friends.
The meta_predicate/1 declaration informs the system that some
arguments of a procedure are goals, clauses or clauses heads, and that
these arguments must be expanded to receive the current source module:
meta_predicate G1,....,GnEach Gi is a mode specification. For example, a declaration for
call/1 and setof/3 would be of the form:
:- meta_predicate call(:), setof(?,:,?). |
If the argument is : or an integer, the argument is a call and
must be expanded. Otherwise, the argument should not be expanded. Note
that the system already includes declarations for all built-ins.
In the previous example, the only argument to call/1 must be
expanded, resulting in the following code:
:- module(example,[a/1]). ... a(G) :- call(example:G) ... |
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This chapter describes the predicates for controlling the execution of Prolog programs.
In the description of the arguments of functors the following notation will be used:
+P, +Q [ISO]Conjunction of goals (and).
Example:
p(X) :- q(X), r(X). |
should be read as "p(X) if q(X) and r(X)".
+P ; +Q [ISO]Disjunction of goals (or).
Example:
p(X) :- q(X); r(X). |
should be read as "p(X) if q(X) or r(X)".
true [ISO]Succeeds once.
fail [ISO]Fails always.
falseThe same as fail
! [ISO]Read as "cut". Cuts any choices taken in the current procedure. When first found "cut" succeeds as a goal, but if backtracking should later return to it, the parent goal (the one which matches the head of the clause containing the "cut", causing the clause activation) will fail. This is an extra-logical predicate and cannot be explained in terms of the declarative semantics of Prolog.
example:
member(X,[X|_]). member(X,[_|L]) :- member(X,L). |
With the above definition
?- member(X,[1,2,3]). |
will return each element of the list by backtracking. With the following definition:
member(X,[X|_]) :- !. member(X,[_|L]) :- member(X,L). |
the same query would return only the first element of the list, since backtracking could not "pass through" the cut.
\+ +P [ISO]Goal P is not provable. The execution of this predicate fails if and only if the goal P finitely succeeds. It is not a true logical negation, which is impossible in standard Prolog, but "negation-by-failure".
This predicate might be defined as:
\+(P) :- P, !, fail. \+(_). |
if P did not include "cuts".
not +PGoal P is not provable. The same as '\+ P'.
This predicate is kept for compatibility with C-Prolog and previous
versions of YAP. Uses of not/1 should be replace by
(\+)/1, as YAP does not implement true negation.
+P -> +Q [ISO]Read as "if-then-else" or "commit". This operator is similar to the conditional operator of imperative languages and can be used alone or with an else part as follows:
+P -> +Q"if P then Q".
+P -> +Q; +R"if P then Q else R".
These two predicates could be defined respectively in Prolog as:
(P -> Q) :- P, !, Q. |
and
(P -> Q; R) :- P, !, Q. (P -> Q; R) :- R. |
if there were no "cuts" in P, Q and R.
Note that the commit operator works by "cutting" any alternative solutions of P.
Note also that you can use chains of commit operators like:
P -> Q ; R -> S ; T. |
Note that (->)/2 does not affect the scope of cuts in its
arguments.
repeat [ISO]Succeeds repeatedly.
In the next example, repeat is used as an efficient way to implement
a loop. The next example reads all terms in a file:
a :- repeat, read(X), write(X), nl, X=end_of_file, !. |
the loop is effectively terminated by the cut-goal, when the test-goal
X=end succeeds. While the test fails, the goals read(X),
write(X), and nl are executed repeatedly, because
backtracking is caught by the repeat goal.
The built-in repeat/1 could be defined in Prolog by:
repeat. repeat :- repeat. |
call(+P) [IS0] If P is instantiated to an atom or a compound term, the goal
call(P) is executed as if the value of P was found
instead of the call to call/1, except that any "cut" occurring in
P only cuts alternatives in the execution of P.
incore(+P)The same as call/1.
call_with_args(+Name,...,?Ai,...)Meta-call where Name is the name of the procedure to be called and the Ai are the arguments. The number of arguments varies between 0 and 10.
If Name is a complex term, then call_with_args/n behaves as
call/n:
call(p(X1,...,Xm), Y1,...,Yn) :- p(X1,...,Xm,Y1,...,Yn). |
+P The same as call(P). This feature has been kept to provide
compatibility with C-Prolog. When compiling a goal, YAP
generates a call(X) whenever a variable X is found as
a goal.
a(X) :- X. |
is converted to:
a(X) :- call(X). |
if(?G,?H,?I) [IS0]Call goal H once per each solution of goal H. If goal H has no solutions, call goal I.
The built-in if/3 is similar to ->/3, with the difference
that it will backtrack over the test goal. Consider the following
small data-base:
a(1). b(a). c(x). a(2). b(b). c(y). |
Execution of an if/3 query will proceed as follows:
?- if(a(X),b(Y),c(Z)). X = 1, Y = a ? ; X = 1, Y = b ? ; X = 2, Y = a ? ; X = 2, Y = b ? ; no |
The system will backtrack over the two solutions for a/1 and the
two solutions for b/1, generating four solutions.
Cuts are allowed inside the first goal G, but they will only prune over G.
If you want G to be deterministic you should use if-then-else, as it is both more efficient and more portable.
once(:G) [IS0]Execute the goal G only once. The predicate is defined by:
once(G) :- call(G), !. |
Note that cuts inside once/1 can only cut the other goals inside
once/1.
abortAbandons the execution of the current goal and returns to top level. All
break levels (see break/0 below) are terminated. It is mainly
used during debugging or after a serious execution error, to return to
the top-level.
breakSuspends the execution of the current goal and creates a new execution level similar to the top level, displaying the following message:
[ Break (level <number>) ] |
telling the depth of the break level just entered. To return to the previous level just type the end-of-file character or call the end_of_file predicate. This predicate is especially useful during debugging.
halt [ISO]Halts Prolog, and exits to the calling application. In YAP,
halt/0 returns the exit code 0.
halt(+ I) [ISO]Halts Prolog, and exits to the calling application returning the code given by the integer I.
catch(+Goal,+Exception,+Action) [IS0]The goal catch(Goal,Exception,Action) tries to
execute goal Goal. If during its execution, Goal throws an
exception E' and this exception unifies with Exception, the
exception is considered to be caught and Action is executed. If
the exception E' does not unify with Exception, control
again throws the exception.
The top-level of YAP maintains a default exception handler that is responsible to capture uncaught exceptions.
throw(+Ball) [ISO]The goal throw(Ball) throws an exception. Execution is
stopped, and the exception is sent to the ancestor goals until reaching
a matching catch/3, or until reaching top-level.
garbage_collectThe goal garbage_collect forces a garbage collection.
garbage_collect_atomsThe goal garbage_collect forces a garbage collection of the atoms
in the data-base. Currently, only atoms are recovered.
gcThe goal gc enables garbage collection. The same as
yap_flag(gc,on).
nogcThe goal nogc disables garbage collection. The same as
yap_flag(gc,off).
grow_heap(+Size)Increase heap size Size kilobytes.
grow_stack(+Size)Increase stack size Size kilobytes.
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A predicate in a module is said to be undefined if there are no clauses defining the predicate, and if the predicate has not been declared to be dynamic. What YAP does when trying to execute undefined predicates can be specified through three different ways:
yap_flag/2 or
set_prolog_flag/2 built-ins. This solution generalizes the
ISO standard.
unknown/2 built-in (this solution is
compatible with previous releases of YAP).
user:unknown_predicate_handler/3. This solution is compatible
with SICStus Prolog.
In more detail:
unknown(-O,+N)Specifies an handler to be called is a program tries to call an undefined static procedure P.
The arity of N may be zero or one. If the arity is 0, the
new action must be one of fail, warning, or
error. If the arity is 1, P is an user-defined
handler and at run-time, the argument to the handler P will be
unified with the undefined goal. Note that N must be defined prior
to calling unknown/2, and that the single argument to N must
be unbound.
In YAP, the default action is to fail (note that in the ISO
Prolog standard the default action is error).
After defining undefined/1 by:
undefined(A) :- format('Undefined predicate: ~w~n',[A]), fail.
|
and executing the goal:
unknown(U,undefined(X)). |
a call to a predicate for which no clauses were defined will result in the output of a message of the form:
Undefined predicate: user:xyz(A1,A2) |
followed by the failure of that call.
yap_flag(unknown,+SPEC)Alternatively, one can use yap_flag/2,
current_prolog_flag/2, or set_prolog_flag/2, to set this
functionality. In this case, the first argument for the built-ins should
be unknown, and the second argument should be either
error, warning, fail, or a goal.
user:unknown_predicate_handler(+G,+M,?NG)The user may also define clauses for
user:unknown_predicate_handler/3 hook predicate. This
user-defined procedure is called before any system processing for the
undefined procedure, with the first argument G set to the current
goal, and the second M set to the current module. The predicate
G will be called from within the user module.
If user:unknown_predicate_handler/3 succeeds, the system will
execute NG. If user:unknown_predicate_handler/3 fails, the
system will execute default action as specified by unknown/2.
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var(T) [ISO]Succeeds if T is currently a free variable, otherwise fails.
atom(T) [ISO]Succeeds if and only if T is currently instantiated to an atom.
atomic(T) [ISO]Checks whether T is an atomic symbol (atom or number).
compound(T) [ISO]Checks whether T is a compound term.
db_reference(T)Checks whether T is a database reference.
float(T) [ISO]Checks whether T is a floating point number.
integer(T) [ISO]Succeeds if and only if T is currently instantiated to an integer.
nonvar(T) [ISO]The opposite of var(T).
number(T) [ISO]Checks whether T is an integer or a float.
primitive(T)Checks whether T is an atomic term or a database reference.
simple(T)Checks whether T is unbound, an atom, or a number.
callable(T)Checks whether T is a callable term, that is, an atom or a compound term.
name(A,L)The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument A will be unified with an atomic symbol and L with the list of the ASCII codes for the characters of the external representation of A.
name(yap,L). |
will return:
L = [121,97,112]. |
and
name(3,L). |
will return:
L = [51]. |
atom_chars(?A,?L) [ISO]The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument A must be unifiable with an atom, and the argument L with the list of the ASCII codes for the characters of the external representation of A.
The ISO-Prolog standard dictates that atom_chars/2 should unify
the second argument with a list of one-char atoms, and not the character
codes. For compatibility with previous versions of YAP, and
with other Prolog implementations, YAP unifies the second
argument with the character codes, as in atom_codes/2. Use the
set_prolog_flag(to_chars_mode,iso) to obtain ISO standard
compatibility.
atom_codes(?A,?L) [ISO]The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument A will be unified with an atom and L with the list of the ASCII codes for the characters of the external representation of A.
atom_concat(+As,?A)The predicate holds when the first argument is a list of atoms, and the second unifies with the atom obtained by concatenating all the atoms in the first list.
atomic_concat(+As,?A)The predicate holds when the first argument is a list of atoms, and the second unifies with the atom obtained by concatenating all the atomic terms in the first list. The first argument thus may contain atoms or numbers.
atom_concat(+A1,+A2,?A)The predicate holds when the first argument and second argument are atoms, and the third unifies with the atom obtained by concatenating the first two arguments.
atom_length(+A,?I) [ISO]The predicate holds when the first argument is an atom, and the second unifies with the number of characters forming that atom.
atom_concat(?A1,?A2,?A12) [ISO]The predicate holds when the third argument unifies with an atom, and the first and second unify with atoms such that their representations concatenated are the representation for A12.
If A1 and A2 are unbound, the built-in will find all the atoms that concatenated give A12.
number_chars(?I,?L)The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument I must be unifiable with a number, and the argument L with the list of the ASCII codes for the characters of the external representation of I.
The ISO-Prolog standard dictates that number_chars/2 should unify
the second argument with a list of one-char atoms, and not the character
codes. For compatibility with previous versions of YAP, and
with other Prolog implementations, YAP unifies the second
argument with the character codes, as in number_codes/2. Use the
set_prolog_flag(to_chars_mode,iso) to obtain ISO standard
compatibility.
number_codes(?A,?L) [ISO]The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument A will be unified with a number and L with the list of the ASCII codes for the characters of the external representation of A.
number_atom(?I,?L)The predicate holds when at least one of the arguments is ground (otherwise, an error message will be displayed). The argument I must be unifiable with a number, and the argument L must be unifiable with an atom representing the number.
char_code(?A,?I) [ISO]The built-in succeeds with A bound to character represented as an atom, and I bound to the character code represented as an integer. At least, one of either A or I must be bound before the call.
sub_atom(+A,?Bef, ?Size, ?After, ?At_out) [ISO]True when A and At_out are atoms such that the name of At_out has size Size and is a substring of the name of A, such that Bef is the number of characters before and After the number of characters afterwards.
Note that A must always be known, but At_out can be unbound when
calling this built-in. If all the arguments for sub_atom/5 but A
are unbound, the built-in will backtrack through all possible
substrings of A.
numbervars(T,+N1,-Nn)Instantiates each variable in term T to a term of the form:
'$VAR'(I), with I increasing from N1 to Nn.
ground(T)Succeeds if there are no free variables in the term T.
arg(+N,+T,A) [ISO]Succeeds if the argument N of the term T unifies with A. The arguments are numbered from 1 to the arity of the term.
The current version will generate an error if T or N are unbound, if T is not a compound term, of if N is not a positive integer. Note that previous versions of YAP would fail silently under these errors.
functor(T,F,N)The top functor of term T is named F and has arity N.
When T is not instantiated, F and N must be. If N is 0, F must be an atomic symbol, which will be unified with T. If N is not 0, then F must be an atom and T becomes instantiated to the most general term having functor F and arity N. If T is instantiated to a term then F and N are respectively unified with its top functor name and arity.
In the current version of YAP the arity N must be an integer. Previous versions allowed evaluable expressions, as long as the expression would evaluate to an integer. This feature is not available in the ISO Prolog standard.
T =.. L [ISO]The list L is built with the functor and arguments of the term T. If T is instantiated to a variable, then L must be instantiated either to a list whose head is an atom, or to a list consisting of just a number.
X = Y [ISO]Tries to unify terms X and Y.
X \= Y [ISO]Succeeds if terms X and Y are not unifiable.
unify_with_occurs_check(?T1,?T2) [ISO]Obtain the most general unifier of terms T1 and T2, if there is one.
This predicate implements the full unification algorithm. An example:n
unify_with_occurs_check(a(X,b,Z),a(X,A,f(B)). |
will succeed with the bindings A = b and Z = f(B). On the
other hand:
unify_with_occurs_check(a(X,b,Z),a(X,A,f(Z)). |
would fail, because Z is not unifiable with f(Z). Note that
(=)/2 would succeed for the previous examples, giving the following
bindings A = b and Z = f(Z).
copy_term(?TI,-TF) [ISO]Term TF is a variant of the original term TI, such that for each variable V in the term TI there is a new variable V' in term TF.
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The following predicates are used to compare and order terms, using the standard ordering:
compare(C,X,Y)As a result of comparing X and Y, C may take one of the following values:
= if X and Y are identical;
< if X precedes Y in the defined order;
> if Y precedes X in the defined order;
X == Y [ISO]Succeeds if terms X and Y are strictly identical. The
difference between this predicate and =/2 is that, if one of the
arguments is a free variable, it only succeeds when they have already
been unified.
?- X == Y. |
fails, but,
?- X = Y, X == Y. |
succeeds.
?- X == 2. |
fails, but,
?- X = 2, X == 2. |
succeeds.
X \== Y [ISO]Terms X and Y are not strictly identical.
X @< Y [ISO]Term X precedes term Y in the standard order.
X @=< Y [ISO]Term X does not follow term Y in the standard order.
X @> Y [ISO]Term X follows term Y in the standard order.
X @>= Y [ISO]Term X does not precede term Y in the standard order.
sort(+L,-S)Unifies S with the list obtained by sorting L and merging
identical (in the sense of ==) elements.
keysort(+L,S)Assuming L is a list of the form Key-Value,
keysort(+L,S) unifies S with the list obtained
from L, by sorting its elements according to the value of
Key.
?- keysort([3-a,1-b,2-c,1-a,1-b],S). |
would return:
S = [1-b,1-a,1-b,2-c,3-a] |
length(?L,?S)Unify the well-defined list L with its length. The procedure can be used to find the length of a pre-defined list, or to build a list of length S.
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Arithmetic expressions in YAP may use the following operators or evaluable predicates:
+XThe value of X itself.
-X [ISO]Symmetric value.
X+Y [ISO]Sum.
X-Y [ISO]Difference.
X*Y [ISO]Product.
X/Y [ISO]Quotient.
X//Y [ISO]Integer quotient.
X mod Y [ISO]Integer remainder.
X rem YInteger remainder, the same as mod.
exp(X) [ISO]Natural exponential.
log(X) [ISO]Natural logarithm.
log10(X)Decimal logarithm.
sqrt(X) [ISO]Square root.
sin(X) [ISO]Sine.
cos(X) [ISO]Cosine.
tan(X)Tangent.
asin(X)Arc sine.
acos(X)Arc cosine.
atan(X) [ISO]Arc tangent.
atan2(X)Four-quadrant arc tangent.
sinh(X)Hyperbolic sine.
cosh(X)Hyperbolic cosine.
tanh(X)Hyperbolic tangent.
asinh(X)Hyperbolic arc sine.
acosh(X)Hyperbolic arc cosine.
atanh(X)Hyperbolic arc tangent.
integer(X) [ISO]If X evaluates to a float, the integer between the value of X and 0 closest to the value of X, else if X evaluates to an integer, the value of X.
float(X) [ISO]If X evaluates to an integer, the corresponding float, else the float itself.
float_fractional_part(X) [ISO]The fractional part of the floating point number X, or 0.0
if X is an integer. In the iso language mode,
X must be an integer.
float_integer_part(X) [ISO]The float giving the integer part of the floating point number X,
or X if X is an integer. In the iso language mode,
X must be an integer.
abs(X) [ISO]The absolute value of X.
ceiling(X) [ISO]The float that is the smallest integral value not smaller than X.
In iso language mode the argument must be a floating
point-number and the result is an integer.
floor(X) [ISO]The float that is the greatest integral value not greater than X.
In iso language mode the argument must be a floating
point-number and the result is an integer.
round(X) [ISO]The nearest integral value to X. If X is equidistant to two integers, it will be rounded to the closest even integral value.
In iso language mode the argument must be a floating
point-number, the result is an integer and it the float is equidistant
it is rounded up, that is, to the least integer greater than X.
sign(X) [ISO]Return 1 if the X evaluates to a positive integer, 0 it if evaluates to 0, and -1 if it evaluates to a negative integer. If X evaluates to a floating-point number return 1.0 for a positive X, 0.0 for 0.0, and -1.0 otherwise.
truncate(X)The float that is the integral value between X and 0 closest to X.
max(X,Y)The greater value of X and Y.
min(X,Y)The lesser value of X and Y.
X ^ YX raised to the power of Y, (from the C-Prolog syntax).
exp(X,Y)X raised to the power of Y, (from the Quintus Prolog syntax).
X ** Y [ISO]X raised to the power of Y (from ISO).
X /\ Y [ISO]Integer bitwise conjunction.
X \/ Y [ISO]Integer bitwise disjunction.
X # Y [ISO]Integer bitwise exclusive disjunction.
X << YInteger bitwise left logical shift of X by Y places.
X >> Y [ISO]Integer bitwise right logical shift of X by Y places.
\ X [ISO]Integer bitwise negation.
gcd(X,Y)The greatest common divisor of the two integers X and Y.
msb(X)The most significant bit of the integer X.
[X]Evaluates to X for expression X. Useful because character strings in Prolog are lists of character codes.
X is Y*10+C-"0" |
is the same as
X is Y*10+C-[48]. |
which would be evaluated as:
X is Y*10+C-48. |
Besides numbers and the arithmetic operators described above, certain atoms have a special meaning when present in arithmetic expressions:
piThe value of pi, the ratio of a circle's circumference to its diameter.
eThe base of the natural logarithms.
infInfinity according to the IEEE Floating-Point standard. Note that
evaluating this term will generate a domain error in the iso
language mode.
nanNot-a-number according to the IEEE Floating-Point standard. Note that
evaluating this term will generate a domain error in the iso
language mode.
cputimeCPU time in seconds, since YAP was invoked.
heapusedHeap space used, in bytes.
localLocal stack in use, in bytes.
globalGlobal stack in use, in bytes.
randomA "random" floating point number between 0 and 1.
The primitive YAP predicates involving arithmetic expressions are:
X is +Y [2]This predicate succeeds iff the result of evaluating the expression Y unifies with X. This is the predicate normally used to perform evaluation of arithmetic expressions:
X is 2+3*4 |
succeeds with X = 14.
+X < +Y [ISO]The value of the expression X is less than the value of expression Y.
+X =< +Y [ISO]The value of the expression X is less than or equal to the value of expression Y.
+X > +Y [ISO]The value of the expression X is greater than the value of expression Y.
+X >= +Y [ISO]The value of the expression X is greater than or equal to the value of expression Y.
+X =:= +Y [ISO]The value of the expression X is equal to the value of expression Y.
+X =\= +Y [ISO]The value of the expression X is different from the value of expression Y.
srandom(+X)Use the argument X as a new seed for YAP's random number generator. The argument should be an integer, but floats are acceptable.
Notes:
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Some of the I/O predicates described below will in certain conditions provide error messages and abort only if the file_errors flag is set. If this flag is cleared the same predicates will just fail. Details on setting and clearing this flag are given under 7.7.
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open(+F,+M,-S) [ISO]Opens the file with name F in mode M ('read', 'write' or 'append'), returning S unified with the stream name.
At most, there are 17 streams opened at the same time. Each stream is
either an input or an output stream but not both. There are always 3
open streams: user_input for reading, user_output for writing
and user_error for writing. If there is no ambiguity, the atoms
user_input and user_output may be referred to as user.
The file_errors flag controls whether errors are reported when in
mode 'read' or 'append' the file F does not exist or is not
readable, and whether in mode 'write' or 'append' the file is not
writable.
open(+F,+M,-S,+Opts) [ISO]Opens the file with name F in mode M ('read', 'write' or 'append'), returning S unified with the stream name, and following these options:
type(+T)Specify whether the stream is a text stream (default), or a
binary stream.
reposition(+Bool)Specify whether it is possible to reposition the stream (true), or
not (false). By default, YAP enables repositioning for all
files, except terminal files and sockets.
eof_action(+Action)Specify the action to take if attempting to input characters from a
stream where we have previously found an end-of-file. The possible
actions are error, that raises an error, reset, that tries to
reset the stream and is used for tty type files, and eof_code,
which generates a new end-of-file (default for non-tty files).
alias(+Name)Specify an alias to the stream. The alias Name must be an atom. The alias can be used instead of the stream descriptor for every operation concerning the stream.
The operation will fail and give an error if the alias name is already
in use. YAP allows several aliases for the same file, but only
one is returned by stream_property/2
close(+S) [ISO]Closes the stream S. If S does not stand for a stream
currently opened an error is reported. The streams user_input,
user_output, and user_error can never be closed.
By default, give a file name, close/1 will also try to close a
corresponding open stream. This feature is not available in ISO or
SICStus languages mode and is deprecated.
close(+S,+O) [ISO]Closes the stream S, following options O.
The only valid options are force(true) and force(false).
YAP currently ignores these options.
absolute_file_name(+Name,-FullPath)Give the path a full path FullPath Yap would use to consult a file
named Name. Unify FullPath with user if the file
name is user.
current_stream(F,M,S)Defines the relation: The stream S is opened on the file F in mode M. It might be used to obtain all open streams (by backtracking) or to access the stream for a file F in mode M, or to find properties for a stream S.
flush_output [ISO]Send all data in the output buffer to current output stream.
flush_output(+S) [ISO]Send all data in the output buffer to stream S.
set_input(+S)Set stream S as the current input stream. Predicates like read/1
and get/1 will start using stream S.
set_output(+S)Set stream S as the current output stream. Predicates like
write/1 and put/1 will start using stream S.
stream_select(+STREAMS,+TIMEOUT,-READSTREAMS)Given a list of open STREAMS openeded in read mode and a TIMEOUT return a list of streams who are now available for reading.
If the TIMEOUT is instantiated to off,
stream_select/3 will wait indefinitely for a stream to become
open. Otherwise the timeout must be of the form SECS:USECS where
SECS is an integer gives the number of seconds to wait for a timeout
and USECS adds the number of micro-seconds.
This built-in is only defined if the system call select is
available in the system.
current_input(-S) [ISO]Unify S with the current input stream.
current_output(-S) [ISO]Unify S with the current output stream.
at_end_of_stream [ISO]Succeed if the current stream has stream position end-of-stream or past-end-of-stream.
at_end_of_stream(+S) [ISO]Succeed if the stream S has stream position end-of-stream or past-end-of-stream. Note that S must be a readable stream.
set_stream_position(+S, +POS) [ISO]Given a stream position POS for a stream S, set the current stream position for S to be POS.
stream_property(?Stream,?Prop) [ISO]Obtain the properties for the open streams. If the first argument is
unbound, the procedure will backtrack through all open
streams. Otherwise, the first argument must be a stream term (you may
use current_stream to obtain a current stream given a file name).
The following properties are recognized:
file_name(P)An atom giving the file name for the current stream. The file names are
user_input, user_output, and user_error for the
standard streams.
mode(P)The mode used to open the file. It may be one of append,
read, or write.
inputThe stream is readable.
outputThe stream is writable.
alias(A)ISO-Prolog primitive for stream aliases. Yap returns one of the existing aliases for the stream.
position(P)A term describing the position in the stream.
end_of_stream(E)Whether the stream is at the end of stream, or it has found the
end of stream and is past, or whether it has not yet
reached the end of stream.
eof_action(A)The action to take when trying to read after reaching the end of
stream. The action may be one of error, generate an error,
eof_code, return character code -1, or reset the
stream.
reposition(B)Whether the stream can be repositioned or not, that is, whether it is seekable.
type(T)Whether the stream is a text stream or a binary stream.
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tell(+S)If S is a currently opened stream for output, it becomes the current output stream. If S is an atom it is taken to be a filename. If there is no output stream currently associated with it, then it is opened for output, and the new output stream created becomes the current output stream. If it is not possible to open the file, an error occurs. If there is a single opened output stream currently associated with the file, then it becomes the current output stream; if there are more than one in that condition, one of them is chosen.
Whenever S is a stream not currently opened for output, an error may be reported, depending on the state of the file_errors flag. The predicate just fails, if S is neither a stream nor an atom.
telling(-S)The current output stream is unified with S.
toldCloses the current output stream, and the user's terminal becomes again the current output stream. It is important to remember to close streams after having finished using them, as the maximum number of simultaneously opened streams is 17.
see(+S)If S is a currently opened input stream then it is assumed to be the current input stream. If S is an atom it is taken as a filename. If there is no input stream currently associated with it, then it is opened for input, and the new input stream thus created becomes the current input stream. If it is not possible to open the file, an error occurs. If there is a single opened input stream currently associated with the file, it becomes the current input stream; if there are more than one in that condition, then one of them is chosen.
When S is a stream not currently opened for input, an error may be
reported, depending on the state of the file_errors flag. If
S is neither a stream nor an atom the predicates just fails.
seeing(-S)The current input stream is unified with S.
seenCloses the current input stream (see 6.7.).
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read(-T) [ISO]Reads the next term from the current input stream, and unifies it with
T. The term must be followed by a dot ('.') and any blank-character
as previously defined. The syntax of the term must match the current
declarations for operators (see op). If the end-of-stream is reached,
T is unified with the atom end_of_file. Further reads from of
the same stream may cause an error failure (see open/3).
read_term(-T,+Options) [ISO]Reads term T from the current input stream with execution controlled by the following options:
singletons(-Names)Unify Names with a list of the form Name=Var, where
Name is the name of a non-anonymous singleton variable in the
original term, and Var is the variable's representation in
YAP.
syntax_errors(+Val)Control action to be taken after syntax errors. See yap_flag/2
for detailed information.
variable_names(-Names)Unify Names with a list of the form Name=Var, where Name is the name of a non-anonymous variable in the original term, and Var is the variable's representation in YAP.
variables(-Names)Unify Names with a list of the variables in term T.
char_conversion(+IN,+OUT) [ISO]While reading terms convert unquoted occurrences of the character IN to the character OUT. Both IN and OUT must be bound to single characters atoms.
Character conversion only works if the flag char_conversion is
on. This is default in the iso and sicstus language
modes. As an example, character conversion can be used for instance to
convert characters from the ISO-LATIN-1 character set to ASCII.
If IN is the same character as OUT, char_conversion/2
will remove this conversion from the table.
current_char_conversion(?IN,?OUT) [ISO]If IN is unbound give all current character translations. Otherwise, give the translation for IN, if one exists.
write(T) [ISO]The term T is written to the current output stream according to the operator declarations in force.
display(+T)Displays term T on the current output stream. All Prolog terms are written in standard parenthesized prefix notation.
write_canonical(+T) [ISO]Displays term T on the current output stream. Atoms are quoted when necessary, and operators are ignored, that is, the term is written in standard parenthesized prefix notation.
write_term(+T, +Opts) [ISO]Displays term T on the current output stream, according to the following options:
quoted(+Bool)If true, quote atoms if this would be necessary for the atom to
be recognized as an atom by YAP's parser. The default value is
false.
ignore_ops(+Bool)If true, ignore operator declarations when writing the term. The
default value is false.
numbervars(+Bool)If true, output terms of the form
'$VAR'(N), where N is an integer, as a sequence of capital
letters. The default value is false.
portrayed(+Bool)If true, use portray/1 to portray bound terms. The default
value is false.
max_depth(+Depth)If Depth is a positive integer, use Depth as
the maximum depth to portray a term. The default is 0, that is,
unlimited depth.
writeq(T) [ISO]Writes the term T, quoting names to make the result acceptable to the predicate 'read' whenever necessary.
print(T)Prints the term T to the current output stream using write/1
unless T is bound and a call to the user-defined predicate
portray/1 succeeds. To do pretty printing of terms the user should
define suitable clauses for portray/1 and use print/1.
format(+T,+L)Print formatted output to the current output stream. The arguments in list L are output according to the string or atom T.
A control sequence is introduced by a w. The following control
sequences are available in YAP:
'~~'Print a single tilde.
'~a'The next argument must be an atom, that will be printed as if by write.
'~Nc'The next argument must be an integer, that will be printed as a character code. The number N is the number of times to print the character (default 1).
'~Ne''~NE''~Nf''~Ng''~NG'The next argument must be a floating point number. The float F, the number
N and the control code c will be passed to printf as:
printf("%s.Nc", F)
|
As an example:
?- format("~8e, ~8E, ~8f, ~8g, ~8G~w",
[3.14,3.14,3.14,3.14,3.14,3.14]).
3.140000e+00, 3.140000E+00, 3.140000, 3.14, 3.143.14
|
'~Nd'The next argument must be an integer, and N is the number of digits
after the decimal point. If N is 0 no decimal points will be
printed. The default is N = 0.
?- format("~2d, ~d",[15000, 15000]).
150.00, 15000
|
'~ND'Identical to '~Nd', except that commas are used to separate groups
of three digits.
?- format("~2D, ~D",[150000, 150000]).
1,500.00, 150,000
|
'~i'Ignore the next argument in the list of arguments:
?- format('The ~i met the boregrove',[mimsy]).
The met the boregrove
|
'~k'Print the next argument with write_canonical:
?- format("Good night ~k",a+[1,2]).
Good night +(a,[1,2])
|
'~Nn'Print N newlines (where N defaults to 1).
'~NN'Print N newlines if at the beginning of the line (where N defaults to 1).
'~Nr'The next argument must be an integer, and N is interpreted as a
radix, such that 2 <= N <= 36 (the default is 8).
?- format("~2r, 0x~16r, ~r",
[150000, 150000, 150000]).
100100100111110000, 0x249f0, 444760
|
Note that the letters a-z denote digits larger than 9.
'~NR'Similar to '~NR'. The next argument must be an integer, and N is
interpreted as a radix, such that 2 <= N <= 36 (the default is 8).
?- format("~2r, 0x~16r, ~r",
[150000, 150000, 150000]).
100100100111110000, 0x249F0, 444760
|
The only difference is that letters A-Z denote digits larger than 9.
'~p'Print the next argument with print/1:
?- format("Good night ~p",a+[1,2]).
Good night a+[1,2]
|
'~q'Print the next argument with writeq/1:
?- format("Good night ~q",'Hello'+[1,2]).
Good night 'Hello'+[1,2]
|
'~Ns'The next argument must be a list of character codes. The system then outputs their representation as a string, where N is the maximum number of characters for the string (N defaults to the length of the string).
?- format("The ~s are ~4s",["woods","lovely"]).
The woods are love
|
'~w'Print the next argument with write/1:
?- format("Good night ~w",'Hello'+[1,2]).
Good night Hello+[1,2]
|
The number of arguments, N, may be given as an integer, or it
may be given as an extra argument. The next example shows a small
procedure to write a variable number of a characters:
write_many_as(N) :-
format("~*c",[N,0'a]).
|
The format/2 built-in also allows for formatted output. One can
specify column boundaries and fill the intermediate space by a padding
character:
'~N|'Set a column boundary at position N, where N defaults to the current position.
'~N+'Set a column boundary at N characters past the current position, where
N defaults to 8.
'~Nt'Set padding for a column, where N is the fill code (default is SPC).
The next example shows how to align columns and padding. We first show left-alignment:
|
Note that we reserve 16 characters for the column.
The following example shows how to do right-alignment:
|
The ~t escape sequence forces filling before Hello.
We next show how to do centering:
|
The two ~t escape sequence force filling both before and after
Hello. Space is then evenly divided between the right and the
left sides.
format(+S,+T,+L)Print formatted output to stream S.
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put(+N)Outputs to the current output stream the character whose ASCII code is N. The character N must be a legal ASCII character code, an expression yielding such a code, or a list in which case only the first element is used.
put_byte(+N) [ISO]Outputs to the current output stream the character whose code is N. The current output stream must be a binary stream.
put_char(+N) [ISO]Outputs to the current output stream the character who is used to build
the representation of atom A. The current output stream must be a
text stream.
put_code(+N) [ISO]Outputs to the current output stream the character whose ASCII code is N. The current output stream must be a text stream. The character N must be a legal ASCII character code, an expression yielding such a code, or a list in which case only the first element is used.
get(-C)The next non-blank character from the current input stream is unified
with C. Blank characters are the ones whose ASCII codes are not
greater than 32. If there are no more non-blank characters in the
stream, C is unified with -1. If end_of_stream has already
been reached in the previous reading, this call will give an error message.
get0(-C)The next character from the current input stream is consumed, and then unified with C. There are no restrictions on the possible values of the ASCII code for the character, but the character will be internally converted by YAP.
get_byte(-C) [ISO]If C is unbound, or is a character code, and the current stream is a binary stream, read the next byte from the current stream and unify its code with C.
get_char(-C) [ISO]If C is unbound, or is an atom representation of a character, and the current stream is a text stream, read the next character from the current stream and unify its atom representation with C.
get_code(-C) [ISO]If C is unbound, or is the code for a character, and the current stream is a text stream, read the next character from the current stream and unify its code with C.
peek_byte(-C) [ISO]If C is unbound, or is a character code, and the current stream is a binary stream, read the next byte from the current stream and unify its code with C, while leaving the current stream position unaltered.
peek_char(-C) [ISO]If C is unbound, or is an atom representation of a character, and the current stream is a text stream, read the next character from the current stream and unify its atom representation with C, while leaving the current stream position unaltered.
peek_code(-C) [ISO]If C is unbound, or is the code for a character, and the current stream is a text stream, read the next character from the current stream and unify its code with C, while leaving the current stream position unaltered.
skip(+N)Skips input characters until the next occurrence of the character with
ASCII code N. The argument to this predicate can take the same forms
as those for put (see 6.11).
tab(+N)Outputs N spaces to the current output stream.
nl [ISO]Outputs a new line to the current output stream.
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read(+S,-T) [ISO]Reads term T from the stream S instead of from the current input stream.
read_term(+S,-T,+Options) [ISO]Reads term T from stream S with execution controlled by the
same options as read_term/2.
write(+S,T) [ISO]Writes term T to stream S instead of to the current output stream.
write_canonical(+S,+T) [ISO]Displays term T on the stream S. Atoms are quoted when necessary, and operators are ignored.
write_term(+S, +T, +Opts) [ISO]Displays term T on the current output stream, according to the same
options used by write_term/3.
writeq(+S,T) [ISO]As writeq/1, but the output is sent to the stream S.
display(+S,T)Like display/1, but using stream S to display the term.
print(+S,T)Prints term T to the stream S instead of to the current output stream.
put(+S,+N)As put(N), but to stream S.
put_byte(+S,+N) [ISO]As put_byte(N), but to binary stream S.
put_char(+S,+A) [ISO]As put_char(A), but to text stream S.
put_code(+S,+N) [ISO]As put_code(N), but to text stream S.
get(+S,-C)The same as get(C), but from stream S.
get0(+S,-C)The same as get0(C), but from stream S.
get_byte(+S,-C) [ISO]If C is unbound, or is a character code, and the stream S is a binary stream, read the next byte from that stream and unify its code with C.
get_char(+S,-C) [ISO]If C is unbound, or is an atom representation of a character, and the stream S is a text stream, read the next character from that stream and unify its representation as an atom with C.
get_code(+S,-C) [ISO]If C is unbound, or is a character code, and the stream S is a text stream, read the next character from that stream and unify its code with C.
peek_byte(+S,-C) [ISO]If C is unbound, or is a character code, and S is a binary stream, read the next byte from the current stream and unify its code with C, while leaving the current stream position unaltered.
peek_char(+S,-C) [ISO]If C is unbound, or is an atom representation of a character, and the stream S is a text stream, read the next character from that stream and unify its representation as an atom with C, while leaving the current stream position unaltered.
peek_code(+S,-C) [ISO]If C is unbound, or is an atom representation of a character, and the stream S is a text stream, read the next character from that stream and unify its representation as an atom with C, while leaving the current stream position unaltered.
skip(+S,-C)Like skip/1, but using stream S instead of the current
input stream.
tab(+S,+N)The same as tab/1, but using stream S.
nl(+S)Outputs a new line to stream S.
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ttyput(+N)As put(N) but always to user_output.
ttyget(-C)The same as get(C), but from stream user_input.
ttyget0(-C)The same as get0(C), but from stream user_input.
ttyskip(-C)Like skip/1, but always using stream user_input.
stream.
ttytab(+N)The same as tab/1, but using stream user_output.
ttynlOutputs a new line to stream user_output.
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exists(+F)Checks if file F exists in the current directory.
nofileerrorsSwitches off the file_errors flag, so that the predicates see/1,
tell/1, open/3 and close/1 just fail, instead of producing
an error message and aborting whenever the specified file cannot be
opened or closed.
fileerrorsSwitches on the file_errors flag so that in certain error conditions I/O predicates will produce an appropriated message and abort.
write_depth(T,L,A)Unifies T with the value of the maximum depth of a term to be
written, L with the maximum length of a list to write, and A
with the maximum number of arguments of a compound term to write. The
setting will be used by write/1 or write/2. The default
value for all arguments is 0, meaning unlimited depth and length.
?- write_depth(3,5,5). yes ?- write(a(b(c(d(e(f(g))))))). a(b(c(....))) yes ?- write([1,2,3,4,5,6,7,8]). [1,2,3,4,5,...] yes ?- write(a(1,2,3,4,5,6,7,8)). a(1,2,3,4,5,...) yes |
write_depth(T,L)Same as write_depth(T,L,_). Unifies T with the
value of the maximum depth of a term to be
written, and L with the maximum length of a list to write. The
setting will be used by write/1 or write/2. The default
value for all arguments is 0, meaning unlimited depth and length.
?- write_depth(3,5,5). yes ?- write(a(b(c(d(e(f(g))))))). a(b(c(....))) yes ?- write([1,2,3,4,5,6,7,8]). [1,2,3,4,5,...] yes |
always_prompt_userForce the system to prompt the user even if the user_input stream
is not a terminal. This command is useful if you want to obtain
interactive control from a pipe or a socket.
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YAP includes a SICStus Prolog compatible socket interface. This is a low level interface that provides direct access to the major socket system calls. These calls can be used both to open a new connection in the network or connect to a networked server. Socket connections are described as read/write streams, and standard I/O built-ins can be used to write on or read from sockets. The following calls are available:
socket(+DOMAIN,+TYPE,+PROTOCOL,-SOCKET)Corresponds to the BSD system call socket. Create a socket for
domain DOMAIN of type TYPE and protocol
PROTOCOL. Both DOMAIN and TYPE should be atoms,
whereas PROTOCOL must be an integer. The new socket object is
accessible through a descriptor bound to the variable SOCKET.
The current implementation of YAP only accepts two socket
domains: 'AF_INET' and 'AF_UNIX'. Socket types depend on the
underlying operating system, but at least the following types are
supported: 'SOCK_STREAM' and 'SOCK_DGRAM'.
socket(+DOMAIN,-SOCKET)Call socket/4 with TYPE bound to 'SOCK_STREAM' and
PROTOCOL bound to 0.
socket_close(+SOCKET)Close socket SOCKET. Note that sockets used in
socket_connect (that is, client sockets) should not be closed with
socket_close, as they will be automatically closed when the
corresponding stream is closed with close/1 or close/2.
socket_bind(+SOCKET, ?PORT)Interface to system call bind, as used for servers: bind socket
to a port. Port information depends on the domain:
'AF_UNIX'(+FILENAME)'AF_FILE'(+FILENAME)use file name FILENAME for UNIX or local sockets.
'AF_INET'(?HOST,?PORT)If HOST is bound to an atom, bind to host HOST, otherwise if unbound bind to local host (HOST remains unbound). If port PORT is bound to an integer, try to bind to the corresponding port. If variable PORT is unbound allow operating systems to choose a port number, which is unified with PORT.
socket_connect(+SOCKET, +PORT, -STREAM)Interface to system call connect, used for clients: connect
socket SOCKET to PORT. The connection results in the
read/write stream STREAM.
Port information depends on the domain:
'AF_UNIX'(+FILENAME)'AF_FILE'(+FILENAME)connect to socket at file FILENAME.
'AF_INET'(+HOST,+PORT)Connect to socket at host HOST and port PORT.
socket_listen(+SOCKET, +LENGTH)Interface to system call listen, used for servers to indicate
willingness to wait for connections at socket SOCKET. The
integer LENGTH gives the queue limit for incoming connections,
and should be limited to 5 for portable applications. The socket
must be of type SOCK_STREAM or SOCK_SEQPACKET.
socket_accept(+SOCKET, -STREAM)socket_accept(+SOCKET, -CLIENT, -STREAM)Interface to system call accept, used for servers to wait for
connections at socket SOCKET. The stream descriptor STREAM
represents the resulting connection. If the socket belongs to the
domain 'AF_INET', CLIENT unifies with an atom containing
the IP address for the client in numbers and dots notation.
socket_accept(+SOCKET, -STREAM)Accept a connection but do not return client information.
socket_buffering(+SOCKET, -MODE, -OLD, +NEW)Set buffering for SOCKET in read or write
MODE. OLD is unified with the previous status, and NEW
receives the new status which may be one of unbuf or
fullbuf.
socket_select(+SOCKETS, -NEWSTREAMS, +TIMEOUT, +STREAMS, -READSTREAMS)Interface to system call select, used for servers to wait for
connection requests or for data at sockets. The variable
SOCKETS is a list of form KEY-SOCKET, where KEY is
an user-defined identifier and SOCKET is a socket descriptor. The
variable TIMEOUT is either off, indicating execution will
wait until something is available, or of the form SEC-USEC, where
SEC and USEC give the seconds and microseconds before
socket_select/5 returns. The variable SOCKETS is a list of
form KEY-STREAM, where KEY is an user-defined identifier
and STREAM is a stream descriptor
Execution of socket_select/5 unifies READSTREAMS from
STREAMS with readable data, and NEWSTREAMS with a list of
the form KEY-STREAM, where KEY was the key for a socket
with pending data, and STREAM the stream descriptor resulting
from accepting the connection.
current_host(?HOSTNAME)Unify HOSTNAME with an atom representing the fully qualified hostname for the current host. Also succeeds if HOSTNAME is bound to the unqualified hostname.
hostname_address(?HOSTNAME,?IP_ADDRESS)HOSTNAME is an host name and IP_ADDRESS its IP address in number and dots notation.
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Predicates in YAP may be dynamic or static. By default, when consulting or reconsulting, predicates are assumed to be static: execution is faster and the code will probably use less space. Static predicates impose some restrictions: in general there can be no addition or removal of clauses for a procedure if it is being used in the current execution.
Dynamic predicates allow programmers to change the Clausal Data Base with the same flexibility as in C-Prolog. With dynamic predicates it is always possible to add or remove clauses during execution and the semantics will be the same as for C-Prolog. But the programmer should be aware of the fact that asserting or retracting are still expensive operations, and therefore he should try to avoid them whenever possible.
dynamic +PDeclares predicate P or list of predicates [P1,...,Pn] as a dynamic predicate. P must be written in form: name/arity.
:- dynamic god/1. |
a more convenient form can be used:
:- dynamic son/3, father/2, mother/2. |
or, equivalently,
:- dynamic [son/3, father/2, mother/2]. |
Note:
a predicate is assumed to be dynamic when asserted before being defined.
dynamic_predicate(+P,+Semantics)Declares predicate P or list of predicates [P1,...,Pn]
as a dynamic predicate following either logical or
immediate semantics.
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These predicates can be used either for static or for dynamic predicates:
assert(+C)Adds clause C to the program. If the predicate is undefined, declare it as dynamic.
Most Prolog systems only allow asserting clauses for dynamic
predicates. This is also as specified in the ISO standard. YAP allows
asserting clauses for static predicates, as long as the predicate is not
in use and the language flag is cprolog. Note that this feature is
deprecated, if you want to assert clauses for static procedures you
should use assert_static/1.
asserta(+C) [ISO]Adds clause C to the beginning of the program. If the predicate is undefined, declare it as dynamic.
assertz(+C) [ISO]Adds clause C to the end of the program. If the predicate is undefined, declare it as dynamic.
Most Prolog systems only allow asserting clauses for dynamic predicates. This is also as specified in the ISO standard. YAP allows asserting clauses for static predicates. The current version of YAP supports this feature, but this feature is deprecated and support may go away in future versions.
abolish(+PredSpec) [ISO]Deletes the predicate given by PredSpec from the database. If PredSpec is an unbound variable, delete all predicates for the current module. The specification must include the name and arity, and it may include module information. Under iso language mode this built-in will only abolish dynamic procedures. Under other modes it will abolish any procedures.
abolish(+P,+N)Deletes the predicate with name P and arity N. It will remove both static and dynamic predicates.
assert_static(:C)Adds clause C to a static procedure. Asserting a static clause for a predicate while choice-points for the predicate are available has undefined results.
asserta_static(:C)Adds clause C to the beginning of a static procedure.
assertz_static(:C)Adds clause C to the end of a static procedure. Asserting a static clause for a predicate while choice-points for the predicate are available has undefined results.
The following predicates can be used for dynamic predicates and for static predicates, if source mode was on when they were compiled:
clause(+H,B) [ISO]A clause whose head matches H is searched for in the program. Its head and body are respectively unified with H and B. If the clause is a unit clause, B is unified with true.
This predicate is applicable to static procedures compiled with
source active, and to all dynamic procedures.
clause(+H,B,-R)The same as clause/2, plus R is unified with the
reference to the clause in the database. You can use instance/2
to access the reference's value. Note that you may not use
erase/1 on the reference on static procedures.
nth_clause(+H,I,-R)Find the Ith clause in the predicate defining H, and give a reference to the clause. Alternatively, if the reference R is given the head H is unified with a description of the predicate and I is bound to its position.
The following predicates can only be used for dynamic predicates:
retract(+C) [ISO]Erases the first clause in the program that matches C. This
predicate may also be used for the static predicates that have been
compiled when the source mode was on. For more information on
source/0 (see section Changing the Compiler's Behavior).
retractall(+G)Retract all the clauses whose head matches the goal G. Goal G must be a call to a dynamic predicate.
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listingLists in the current output stream all the clauses for which source code
is available (these include all clauses for dynamic predicates and
clauses for static predicates compiled when source mode was on).
listing(+P)Lists predicate P if its source code is available.
portray_clause(+C)Write clause C as if written by listing/0.
portray_clause(+S,+C)Write clause C on stream S as if written by listing/0.
current_atom(A)Checks whether A is a currently defined atom. It is used to find all currently defined atoms by backtracking.
current_predicate(F) [ISO]F is the predicate indicator for a currently defined user or library predicate. F is of the form Na/Ar, where the atom Na is the name of the predicate, and Ar its arity.
current_predicate(A,P)Defines the relation: P is a currently defined predicate whose name is the atom A.
system_predicate(A,P)Defines the relation: P is a built-in predicate whose name is the atom A.
predicate_property(P,Prop)For the predicates obeying the specification P unify Prop with a property of P. These properties may be:
built_intrue for built-in predicates,
dynamictrue if the predicate is dynamic
statictrue if the predicate is static
meta_predicate(M)true if the predicate has a meta_predicate declaration M.
multifiletrue if the predicate was declared to be multifile
imported_from(Mod)true if the predicate was imported from module Mod.
exportedtrue if the predicate is exported in the current module.
publictrue if the predicate is public; note that all dynamic predicates are public.
tabledtrue if the predicate is tabled; note that only static predicates can be tabled in YAP.
sourcetrue if source for the predicate is available.
number_of_clauses(ClauseCount)Number of clauses in the predicate definition. Always one if external or built-in.
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Data Base references are a fast way of accessing terms. The predicates
erase/1 and instance/1 also apply to these references and may
sometimes be used instead of retract/1 and clause/2.
assert(+C,-R) The same as assert(C) (see section Modification of the Data Base) but
unifies R with the database reference that identifies the new
clause, in a one-to-one way. Note that asserta/2 only works for dynamic
predicates. If the predicate is undefined, it will automatically be
declared dynamic.
asserta(+C,-R) The same as asserta(C) but unifying R with
the database reference that identifies the new clause, in a
one-to-one way. Note that asserta/2 only works for dynamic
predicates. If the predicate is undefined, it will automatically be
declared dynamic.
assertz(+C,-R) The same as assertz(C) but unifying R with
the database reference that identifies the new clause, in a
one-to-one way. Note that asserta/2 only works for dynamic
predicates. If the predicate is undefined, it will automatically be
declared dynamic.
retract(+C,-R)Erases from the program the clause C whose database reference is R. The predicate must be dynamic.
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Some programs need global information for, e.g. counting or collecting data obtained by backtracking. As a rule, to keep this information, the internal data base should be used instead of asserting and retracting clauses (as most novice programmers do), . In YAP (as in some other Prolog systems) the internal data base (i.d.b. for short) is faster, needs less space and provides a better insulation of program and data than using asserted/retracted clauses. The i.d.b. is implemented as a set of terms, accessed by keys that unlikely what happens in (non-Prolog) data bases are not part of the term. Under each key a list of terms is kept. References are provided so that terms can be identified: each term in the i.d.b. has a unique reference (references are also available for clauses of dynamic predicates).
recorda(+K,T,-R)Makes term T the first record under key K and unifies R with its reference.
recordz(+K,T,-R)Makes term T the last record under key K and unifies R with its reference.
recorda_at(+R0,T,-R)Makes term T the record preceding record with reference R0, and unifies R with its reference.
recordz_at(+R0,T,-R)Makes term T the record following record with reference R0, and unifies R with its reference.
recordaifnot(+K,T,-R)If a term equal to T up to variable renaming is stored under key K fail. Otherwise, make term T the first record under key K and unify R with its reference.
recordzifnot(+K,T,-R)If a term equal to T up to variable renaming is stored under key K fail. Otherwise, make term T the first record under key K and unify R with its reference.
recorded(+K,T,R)Searches in the internal database under the key K, a term that unifies with T and whose reference matches R. This built-in may be used in one of two ways:
nth_instance(?K,?Index,T,?R)Fetches the Indexnth entry in the internal database under the key K. Entries are numbered from one. If the key K are the Index are bound, a reference is unified with R. Otherwise, the reference R must be given, and the term the system will find the matching key and index.
erase(+R)The term referred to by R is erased from the internal database. If
reference R does not exist in the database, erase just fails.
erased(+R)Succeeds if the object whose database reference is R has been erased.
instance(+R,-T)If R refers to a clause or a recorded term, T is unified
with its most general instance. If R refers to an unit clause
C, then T is unified with C :- true. When
R is not a reference to an existing clause or to a recorded term,
this goal fails.
eraseall(+K)All terms belonging to the key K are erased from the internal
database. The predicate always succeeds.
current_key(?A,?K)Defines the relation: K is a currently defined database key whose name is the atom A. It can be used to generate all the keys for the internal data-base.
key_statistics(+K,-Entries,-Size,-IndexSize)Returns several statistics for a key K. Currently, it says how many entries we have for that key, Entries, what is the total size spent on entries, Size, and what is the amount of space spent in indices.
key_statistics(+K,-Entries,-TotalSize)Returns several statistics for a key K. Currently, it says how many entries we have for that key, Entries, what is the total size spent on this key.
get_value(+A,-V)In YAP, atoms can be associated with constants. If one such
association exists for atom A, unify the second argument with the
constant. Otherwise, unify V with [].
This predicate is YAP specific.
set_value(+A,+C)Associate atom A with constant C.
The set_value and get_value built-ins give a fast alternative to
the internal data-base. This is a simple form of implementing a global
counter.
read_and_increment_counter(Value) :-
get_value(counter, Value),
Value1 is Value+1,
set_value(counter, Value1).
|
This predicate is YAP specific.
recordzifnot(+K,T,-R)If a variant of T is stored under key K fail. Otherwise, make term T the last record under key K and unify R with its reference.
This predicate is YAP specific.
recordaifnot(+K,T,-R)If a variant of T is stored under key K fail. Otherwise, make term T the first record under key K and unify R with its reference.
This predicate is YAP specific.
There is a strong analogy between the i.d.b. and the way dynamic predicates are stored. In fact, the main i.d.b. predicates might be implemented using dynamic predicates:
recorda(X,T,R) :- asserta(idb(X,T),R). recordz(X,T,R) :- assertz(idb(X,T),R). recorded(X,T,R) :- clause(idb(X,T),R). |
We can take advantage of this, the other way around, as it is quite easy to write a simple Prolog interpreter, using the i.d.b.:
asserta(G) :- recorda(interpreter,G,_). assertz(G) :- recordz(interpreter,G,_). retract(G) :- recorded(interpreter,G,R), !, erase(R). call(V) :- var(V), !, fail. call((H :- B)) :- !, recorded(interpreter,(H :- B),_), call(B). call(G) :- recorded(interpreter,G,_). |
In YAP, much attention has been given to the implementation of the i.d.b., especially to the problem of accelerating the access to terms kept in a large list under the same key. Besides using the key, YAP uses an internal lookup function, transparent to the user, to find only the terms that might unify. For instance, in a data base containing the terms
b b(a) c(d) e(g) b(X) e(h) |
stored under the key k/1, when executing the query
:- recorded(k(_),c(_),R). |
recorded would proceed directly to the third term, spending almost the
time as if a(X) or b(X) was being searched.
The lookup function uses the functor of the term, and its first three
arguments (when they exist). So, recorded(k(_),e(h),_) would go
directly to the last term, while recorded(k(_),e(_),_) would find
first the fourth term, and then, after backtracking, the last one.
This mechanism may be useful to implement a sort of hierarchy, where the functors of the terms (and eventually the first arguments) work as secondary keys.
In the YAP's i.d.b. an optimized representation is used for terms without free variables. This results in a faster retrieval of terms and better space usage. Whenever possible, avoid variables in terms in terms stored in the i.d.b.
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YAP implements a blackboard in the style of the SICStus Prolog blackboard. The blackboard uses the same underlying mechanism as the internal data-base but has several important differences:
bb_put(+Key,?Term)Store term table Term in the blackboard under key Key. If a previous term was stored under key Key it is simply forgotten.
bb_get(+Key,?Term)Unify Term with a term stored in the blackboard under key Key, or fail silently if no such term exists.
bb_delete(+Key,?Term)Delete any term stored in the blackboard under key Key and unify it with Term. Fail silently if no such term exists.
bb_update(+Key,?Term,?New)Atomically unify a term stored in the blackboard under key Key with Term, and if the unification succeeds replace it by New. Fail silently if no such term exists or if unification fails.
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When there are several solutions to a goal, if the user wants to collect all the solutions he may be led to use the data base, because backtracking will forget previous solutions.
YAP allows the programmer to choose from several system
predicates instead of writing his own routines. findall/3 gives you
the fastest, but crudest solution. The other built-in predicates
post-process the result of the query in several different ways:
findall(T,+G,-L) [ISO]Unifies L with a list that contains all the instantiations of the term T satisfying the goal G.
With the following program:
a(2,1). a(1,1). a(2,2). |
the answer to the query
findall(X,a(X,Y),L). |
would be:
X = _32 Y = _33 L = [2,1,2]; no |
findall(T,+G,+L,-L0)Similar to findall/3, but appends all answers to list L0.
all(T,+G,-L)Similar to findall(T,G,L) but eliminating
repeated elements. Thus, assuming the same clauses as in the above
example, the reply to the query
all(X,a(X,Y),L). |
would be:
X = _32 Y = _33 L = [2,1]; no |
bagof(T,+G,-L) [ISO]For each set of possible instances of the free variables occurring in G but not in T, generates the list L of the instances of T satisfying G. Again, assuming the same clauses as in the examples above, the reply to the query
bagof(X,a(X,Y),L). would be: X = _32 Y = 1 L = [2,1]; X = _32 Y = 2 L = [2]; no |
setof(X,+P,-B) [ISO]Similar to bagof(T,G,L) but sorting list
L and keeping only one copy of each element. Again, assuming the
same clauses as in the examples above, the reply to the query
setof(X,a(X,Y),L). |
would be:
X = _32 Y = 1 L = [1,2]; X = _32 Y = 2 L = [2]; no |
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Grammar rules in Prolog are both a convenient way to express definite clause grammars and an extension of the well known context-free grammars.
A grammar rule is of the form:
head --> body |
where both head and body are sequences of one or more items linked by the standard conjunction operator ','.
Items can be:
Grammar related built-in predicates:
expand_term(T,-X)This predicate is used by YAP for preprocessing each top level
term read when consulting a file and before asserting or executing it.
It rewrites a term T to a term X according to the following
rules: first try to use the user defined predicate
term_expansion/2. If this call fails then the translating process
for DCG rules is applied, together with the arithmetic optimizer
whenever the compilation of arithmetic expressions is in progress.
user:goal_expansion(+G,+M,-NG)Yap now supports goal_expansion/3. This is an user-defined
procedure that is called after term expansion when compiling or
asserting goals for each sub-goal in a clause. The first argument is
bound to the goal and the second to the module under which the goal
G will execute. If goal_expansion/3 succeeds the new
sub-goal NG will replace G and will be processed in the same
way. If goal_expansion/3 fails the system will use the default
rules.
phrase(+P,L,R)This predicate succeeds when the difference list L-R
is a phrase of type P.
phrase(+P,L)This predicate succeeds when L is a phrase of type P. The
same as phrase(P,L,[]).
Both this predicate and the previous are used as a convenient way to start execution of grammar rules.
'C'(S1,T,S2)This predicate is used by the grammar rules compiler and is defined as
'C'([H|T],H,T).
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The following built-in predicates allow access to underlying Operating System functionality:
cd(+D)Changes the current directory (on UNIX environments).
environ(+E,-S)Given an environment variable E this predicate unifies the second argument S with its value.
getcwd(-D)Unify the current directory, represented as an atom, with the argument D.
putenv(+E,+S)Set environment variable E to the value S. If the environment variable E does not exist, create a new one. Both the environment variable and the value must be atoms.
rename(+F,+G)Renames file F to G.
shCreates a new shell interaction.
system(+S)Passes command S to the Bourne shell (on UNIX environments) or the current command interpreter in WIN32 environments.
unix(+S)Access to Unix-like functionality:
argv/1Return a list of arguments to the program. These are the arguments that
follow a --, as in the usual Unix convention.
cd/0Change to home directory.
cd/1Change to given directory. Acceptable directory names are strings or atoms.
environ/2If the first argument is an atom, unify the second argument with the value of the corresponding environment variable.
getcwd/1Unify the first argument with an atom representing the current directory.
putenv/2Set environment variable E to the value S. If the environment variable E does not exist, create a new one. Both the environment variable and the value must be atoms.
shell/1Execute command under current shell. Acceptable commands are strings or atoms.
system/1Execute command with /bin/sh. Acceptable commands are strings or
atoms.
shell/0Execute a new shell.
alarm(+Seconds,+Callable,+OldAlarm)Arranges for YAP to be interrupted in Seconds
seconds. When interrupted, YAP will execute Callable and
then return to the previous execution. If Seconds is 0, no
new alarm is scheduled. In any event, any previously set alarm is
canceled.
The variable OldAlarm unifies with the number of seconds remaining
until any previously scheduled alarm was due to be delivered, or with
0 if there was no previously scheduled alarm.
Note that execution of Callable will wait if YAP is executing built-in predicates, such as Input/Output operations.
The next example shows how alarm/3 can be used to implement a simple clock:
loop :- loop.
ticker :- write('.'), flush_output,
get_value(tick, yes),
alarm(1,ticker,_).
:- set_value(tick, yes), alarm(1,ticker,_), loop.
|
The clock, ticker, writes a dot and then checks the flag
tick to see whether it can continue ticking. If so, it calls
itself again. Note that there is no guarantee that the each dot
corresponds a second: for instance, if the YAP is waiting for
user input, ticker will wait until the user types the entry in.
The next example shows how alarm/3 can be used to guarantee that
a certain procedure does not take longer than a certain amount of time:
loop :- loop.
:- catch((alarm(10, throw(ball), _),loop),
ball,
format('Quota exhausted.~n',[])).
|
In this case after 10 seconds our loop is interrupted,
ball is thrown, and the handler writes Quota exhausted.
Execution then continues from the handler.
Note that in this case loop/0 always executes until the alarm is
sent. Often, the code you are executing succeeds or fails before the
alarm is actually delivered. In this case, you probably want to disable
the alarm when you leave the procedure. The next procedure does exactly so:
once_with_alarm(Time,Goal,DoOnAlarm) :-
catch(execute_once_with_alarm(Time, Goal), alarm, DoOnAlarm).
execute_once_with_alarm(Time, Goal) :-
alarm(Time, alarm, _),
( call(Goal) -> alarm(0, alarm, _) ; alarm(0, alarm, _), fail).
|
The procedure has three arguments: the Time before the alarm is
sent; the Goal to execute; and the goal DoOnAlarm to execute
if the alarm is sent. It uses catch/3 to handle the case the
alarm is sent. Then it starts the alarm, calls the goal
Goal, and disables the alarm on success or failure.
on_signal(+Signal,?OldAction,+Callable)Set the interrupt handler for soft interrupt Signal to be Callable. OldAction is unified with the previous handler.
Only a subset of the software interrupts (signals) can have their
handlers manipulated through on_signal/3.
Their POSIX names, YAP names and default behavior is given below.
The "YAP name" of the signal is the atom that is associated with
each signal, and should be used as the first argument to
on_signal/3. It is chosen so that it matches the signal's POSIX
name.
on_signal/3 succeeds, unless when called with an invalid
signal name or one that is not supported on this platform. No checks
are made on the handler provided by the user.
sig_up (Hangup)SIGHUP in Unix/Linux; Reconsult the initialization files ~/.yaprc, ~/.prologrc and ~/prolog.ini.
sig_usr1 and sig_usr2 (User signals)SIGUSR1 and SIGUSR2 in Unix/Linux; Print a message and halt.
A special case is made, where if Callable is bound to
default, then the default handler is restored for that signal.
A call in the form on_signal(S,H,H) can be used
to retrieve a signal's current handler without changing it.
It must be noted that although a signal can be received at all times, the handler is not executed while Yap is waiting for a query at the prompt. The signal will be, however, registered and dealt with as soon as the user makes a query.
Please also note, that neither POSIX Operating Systems nor Yap guarantee that the order of delivery and handling is going to correspond with the order of dispatch.
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It is sometimes useful to change the value of instantiated variables. Although, this is against the spirit of logic programming, it is sometimes useful. As in other Prolog systems, YAP has several primitives that allow updating Prolog terms. Note that these primitives are also backtrackable.
The setarg/3 primitive allows updating any argument of a Prolog
compound terms. The mutable family of predicates provides
mutable variables. They should be used instead of setarg/3,
as they allow the encapsulation of accesses to updatable
variables. Their implementation can also be more efficient for long
deterministic computations.
setarg(+I,+S,?T)Set the value of the Ith argument of term S to term T.
create_mutable(+D,-M)Create new mutable variable M with initial value D.
get_mutable(?D,+M)Unify the current value of mutable term M with term D.
is_mutable(?D)Holds if D is a mutable term.
get_mutable(?D,+M)Unify the current value of mutable term M with term D.
update_mutable(+D,+M)Set the current value of mutable term M to term D.
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YAP includes two profiler. The count profiler keeps information on the
number of times a predicate was called. This information can be used to
detect what are the most commonly called predicates in the program. The
count profiler can be compiled by setting YAP's flag profiling
to on. The time-profiler is a gprof profiler, and counts
how many ticks are being spent on specific predicates, or on other
system functions such as internal data-base accesses or garbage collects.
The YAP profiling sub-system is currently under development. Functionality for this sub-system will increase with newer implementation.
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Notes:
The count profiler works by incrementing counters at procedure entry or backtracking. It provides exact information:
list_profile shows all procedures, irrespective of module, and
the procedure list_profile/1 shows the procedures being used in
a specific module.
list_profile :-
% get number of calls for each profiled procedure
setof(D-[M:P|D1],(current_module(M),profile_data(M:P,calls,D),profile_data(M:P,retries,D1)),LP),
% output so that the most often called
% predicates will come last:
write_profile_data(LP).
list_profile(Module) :-
% get number of calls for each profiled procedure
setof(D-[Module:P|D1],(profile_data(Module:P,calls,D),profile_data(Module:P,retries,D1)),LP),
% output so that the most often called
% predicates will come last:
write_profile_data(LP).
write_profile_data([]).
write_profile_data([D-[M:P|R]|SLP]) :-
% swap the two calls if you want the most often
% called predicates first.
format('~a:~w: ~32+~t~d~12+~t~d~12+~n', [M,P,D,R]),
write_profile_data(SLP).
|
These are the current predicates to access and clear profiling data:
profile_data(?Na/Ar, ?Parameter, -Data)Give current profile data on Parameter for a predicate described by the predicate indicator Na/Ar. If any of Na/Ar or Parameter are unbound, backtrack through all profiled predicates or stored parameters. Current parameters are:
callsNumber of times a procedure was called.
retriesNumber of times a call to the procedure was backtracked to and retried.
profile_resetReset all profiling information.
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The tick profiler works by interrupting the Prolog code every so often and checking at each point the code was. The profiler must be able to retrace the state of the abstract machine at every moment. The major advantage of this approach is that it gives the actual amount of time being spent per procedure, or whether garbage collection dominates execution time. The major drawback is that tracking down the state of the abstract machine may take significant time, and in the worst case may slow down the whole execution.
The following procedures are available:
profinitInitialise the data-structures for the profiler.
profonStart profiling.
profoffStop profiling.
showprofresShow profiling info.
showprofres(N)Show profiling info for the top-most N predicates.
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Predicates compiled with YAP's flag call_counting set to
on update counters on the numbers of calls and of
retries. Counters are actually decreasing counters, so that they can be
used as timers. Three counters are available:
calls: number of predicate calls since execution started or since
system was reset;
retries: number of retries for predicates called since
execution started or since counters were reset;
calls_and_retries: count both on predicate calls and
retries.
These counters can be used to find out how many calls a certain goal takes to execute. They can also be used as timers.
The code for the call counters piggybacks on the profiling code. Therefore, activating the call counters also activates the profiling counters.
These are the predicates that access and manipulate the call counters:
call_count_data(-Calls, -Retries, -CallsAndRetries)Give current call count data. The first argument gives the current value for the Calls counter, next the Retries counter, and last the CallsAndRetries counter.
call_count_resetReset call count counters. All timers are also reset.
call_count(?CallsMax, ?RetriesMax, ?CallsAndRetriesMax)Set call count counter as timers. YAP will generate an exception if one of the instantiated call counters decreases to 0. YAP will ignore unbound arguments:
call_counter when the
counter calls reaches 0;
retry_counter when the
counter retries reaches 0;
call_and_retry_counter when the counter calls_and_retries
reaches 0.
Next, we show a simple example of how to use call counters:
?- yap_flag(call_counting,on), [-user]. l :- l. end_of_file. yap_flag(call_counting,off).
yes
yes
?- catch((call_count(10000,_,_),l),call_counter,format("limit_exceeded.~n",[])).
limit_exceeded.
yes
|
Notice that we first compile the looping predicate l/0 with
call_counting on. Next, we catch/3 to handle an
exception when l/0 performs more than 10000 reductions.
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The YAP system includes experimental support for arrays. The
support is enabled with the option YAP_ARRAYS.
There are two very distinct forms of arrays in YAP. The
dynamic arrays are a different way to access compound terms
created during the execution. Like any other terms, any bindings to
these terms and eventually the terms themselves will be destroyed during
backtracking. Our goal in supporting dynamic arrays is twofold. First,
they provide an alternative to the standard arg/3
built-in. Second, because dynamic arrays may have name that are globally
visible, a dynamic array can be visible from any point in the
program. In more detail, the clause
g(X) :- array_element(a,2,X). |
will succeed as long as the programmer has used the built-in array/2
to create an array term with at least 3 elements in the current
environment, and the array was associated with the name a. The
element X is a Prolog term, so one can bind it and any such
bindings will be undone when backtracking. Note that dynamic arrays do
not have a type: each element may be any Prolog term.
The static arrays are an extension of the database. They provide a compact way for manipulating data-structures formed by characters, integers, or floats imperatively. They can also be used to provide two-way communication between YAP and external programs through shared memory.
In order to efficiently manage space elements in a static array must have a type. Currently, elements of static arrays in YAP should have one of the following predefined types:
byte: an 8-bit signed character.
unsigned_byte: an 8-bit unsigned character.
int: Prolog integers. Size would be the natural size for
the machine's architecture.
float: Prolog floating point number. Size would be equivalent
to a double in C.
atom: a Prolog atom.
dbref: an internal database reference.
term: a generic Prolog term. Note that this will term will
not be stored in the array itself, but instead will be stored in the
Prolog internal database.
Arrays may be named or anonymous. Most arrays will be
named, that is associated with an atom that will be used to find
the array. Anonymous arrays do not have a name, and they are only of
interest if the TERM_EXTENSIONS compilation flag is enabled. In
this case, the unification and parser are extended to replace
occurrences of Prolog terms of the form X[I] by run-time calls to
array_element/3, so that one can use array references instead of
extra calls to arg/3. As an example:
g(X,Y,Z,I,J) :- X[I] is Y[J]+Z[I]. |
should give the same results as:
G(X,Y,Z,I,J) :-
array_element(X,I,E1),
array_element(Y,J,E2),
array_element(Z,I,E3),
E1 is E2+E3.
|
Note that the only limitation on array size are the stack size for dynamic arrays; and, the heap size for static (not memory mapped) arrays. Memory mapped arrays are limited by available space in the file system and in the virtual memory space.
The following predicates manipulate arrays:
array(+Name, +Size)Creates a new dynamic array. The Size must evaluate to an integer. The Name may be either an atom (named array) or an unbound variable (anonymous array).
Dynamic arrays work as standard compound terms, hence space for the array is recovered automatically on backtracking.
static_array(+Name, +Size, +Type)Create a new static array with name Name. Note that the Name must be an atom (named array). The Size must evaluate to an integer. The Type must be bound to one of types mentioned previously.
static_array_location(+Name, -Ptr)Give the location for a static array with name Name.
static_array_properties(?Name, ?Size, ?Type)Show the properties size and type of a static array with name Name. Can also be used to enumerate all current static arrays.
This built-in will silently fail if the there is no static array with that name.
static_array_to_term(?Name, ?Term)Convert a static array with name Name to a compound term of name Name.
This built-in will silently fail if the there is no static array with that name.
mmapped_array(+Name, +Size, +Type, +File)Similar to static_array/3, but the array is memory mapped to file
File. This means that the array is initialized from the file, and
that any changes to the array will also be stored in the file.
This built-in is only available in operating systems that support the
system call mmap. Moreover, mmapped arrays do not store generic
terms (type term).
close_static_array(+Name)Close an existing static array of name Name. The Name must be an atom (named array). Space for the array will be recovered and further accesses to the array will return an error.
resize_static_array(+Name, -OldSize, +NewSize)Expand or reduce a static array, The Size must evaluate to an
integer. The Name must be an atom (named array). The Type
must be bound to one of int, dbref, float or
atom.
Note that if the array is a mmapped array the size of the mmapped file will be actually adjusted to correspond to the size of the array.
array_element(+Name, +Index, ?Element)Unify Element with Name[Index]. It works for both static and dynamic arrays, but it is read-only for static arrays, while it can be used to unify with an element of a dynamic array.
update_array(+Name, +Index, ?Value) Attribute value Value to Name[Index]. Type
restrictions must be respected for static arrays. This operation is
available for dynamic arrays if MULTI_ASSIGNMENT_VARIABLES is
enabled (true by default). Backtracking undoes update_array/3 for
dynamic arrays, but not for static arrays.
Note that update_array/3 actually uses setarg/3 to update
elements of dynamic arrays, and setarg/3 spends an extra cell for
every update. For intensive operations we suggest it may be less
expensive to unify each element of the array with a mutable terms and
to use the operations on mutable terms.
add_to_array_element(+Name, +Index, , +Number, ?NewValue) Add Number Name[Index] and unify NewValue with
the incremented value. Observe that Name[Index] must be an
number. If Name is a static array the type of the array must be
int or float. If the type of the array is int you
only may add integers, if it is float you may add integers or
floats. If Name corresponds to a dynamic array the array element
must have been previously bound to a number and Number can be
any kind of number.
The add_to_array_element/3 built-in actually uses
setarg/3 to update elements of dynamic arrays. For intensive
operations we suggest it may be less expensive to unify each element
of the array with a mutable terms and to use the operations on mutable
terms.
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Built-ins that return information on the current predicates and modules:
current_module(M)Succeeds if M are defined modules. A module is defined as soon as some predicate defined in the module is loaded, as soon as a goal in the module is called, or as soon as it becomes the current type-in module.
current_module(M,F)Succeeds if M are current modules associated to the file F.
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statistics/0Send to the current user error stream general information on space used and time spent by the system.
?- statistics.
memory (total) 4784124 bytes
program space 3055616 bytes: 1392224 in use, 1663392 free
2228132 max
stack space 1531904 bytes: 464 in use, 1531440 free
global stack: 96 in use, 616684 max
local stack: 368 in use, 546208 max
trail stack 196604 bytes: 8 in use, 196596 free
0.010 sec. for 5 code, 2 stack, and 1 trail space overflows
0.130 sec. for 3 garbage collections which collected 421000 bytes
0.000 sec. for 0 atom garbage collections which collected 0 bytes
0.880 sec. runtime
1.020 sec. cputime
25.055 sec. elapsed time
|
The example shows how much memory the system spends. Memory is divided into Program Space, Stack Space and Trail. In the example we have 3MB allocated for program spaces, with less than half being actually used. Yap also shows the maximum amount of heap space having been used which was over 2MB.
The stack space is divided into two stacks which grow against each other. We are in the top level so very little stack is being used. On the other hand, the system did use a lot of global and local stack during the previous execution (we refer the reader to a WAM tutorial in order to understand what are the global and local stacks).
Yap also shows information on how many memory overflows and garbage collections the system executed, and statistics on total execution time. Cputime includes all running time, runtime excludes garbage collection and stack overflow time.
statistics(?Param,-Info)Gives statistical information on the system parameter given by first argument:
cputime[Time since Boot,Time From Last Call to Cputime]
This gives the total cputime in milliseconds spent executing Prolog code,
garbage collection and stack shifts time included.
garbage_collection[Number of GCs,Total Global Recovered,Total Time
Spent]
Number of garbage collections, amount of space recovered in kbytes, and
total time spent doing garbage collection in milliseconds. More detailed
information is available using yap_flag(gc_trace,verbose).
global_stack[Global Stack Used,Execution Stack Free]
Space in kbytes currently used in the global stack, and space available for
expansion by the local and global stacks.
local_stack[Local Stack Used,Execution Stack Free]
Space in kbytes currently used in the local stack, and space available for
expansion by the local and global stacks.
heap[Heap Used,Heap Free]
Total space in kbytes not recoverable
in backtracking. It includes the program code, internal data base, and,
atom symbol table.
program[Program Space Used,Program Space Free]
Equivalent to heap.
runtime[Time since Boot,Time From Last Call to Runtime]
This gives the total cputime in milliseconds spent executing Prolog
code, not including garbage collections and stack shifts. Note that
until Yap4.1.2 the runtime statistics would return time spent on
garbage collection and stack shifting.
stack_shifts[Number of Heap Shifts,Number of Stack
Shifts,Number of Trail Shifts]
Number of times YAP had to
expand the heap, the stacks, or the trail. More detailed information is
available using yap_flag(gc_trace,verbose).
trail[Trail Used,Trail Free]
Space in kbytes currently being used and still available for the trail.
walltime[Time since Boot,Time From Last Call to Runtime]
This gives the clock time in milliseconds since starting Prolog.
yap_flag(?Param,?Value)Set or read system properties for Param:
argv Read-only flag. It unifies with a list of atoms that gives the
arguments to Yap after --.
bounded [ISO]Read-only flag telling whether integers are bounded. The value depends on whether YAP uses the GMP library or not.
profilingIf off (default) do not compile call counting information for
procedures. If on compile predicates so that they calls and
retries to the predicate may be counted. Profiling data can be read through the
call_count_data/3 built-in.
char_conversion [ISO]Writable flag telling whether a character conversion table is used when
reading terms. The default value for this flag is off except in
sicstus and iso language modes, where it is on.
character_escapes [ISO] Writable flag telling whether a character escapes are enables,
on, or disabled, off. The default value for this flag is
on.
debug [ISO]If Value is unbound, tell whether debugging is on or
off. If Value is bound to on enable debugging, and if
it is bound to off disable debugging.
discontiguous_warningsIf Value is unbound, tell whether warnings for discontiguous
predicates are on or
off. If Value is bound to on enable these warnings,
and if it is bound to off disable them. The default for YAP is
off, unless we are in sicstus or iso mode.
dollar_as_lower_caseIf off (default) consider the character '$' a control character, if
on consider '$' a lower case character.
double_quotes [ISO]If Value is unbound, tell whether a double quoted list of characters
token is converted to a list of atoms, chars, to a list of integers,
codes, or to a single atom, atom. If Value is bound, set to
the corresponding behavior. The default value is codes.
fastIf on allow fast machine code, if off (default) disable it. Only
available in experimental implementations.
fileerrorsIf on fileerrors is on, if off (default)
fileerrors is disabled.
float_format C-library printf() format specification used by write/1 and
friends to determine how floating point numbers are printed. The
default is %.15g. The specified value is passed to printf()
without further checking. For example, if you want less digits
printed, %g will print all floats using 6 digits instead of the
default 15.
gcIf on allow garbage collection (default), if off disable it.
gc_marginSet or show the minimum free stack before starting garbage collection. The default depends on total stack size.
gc_trace If off (default) do not show information on garbage collection
and stack shifts, if on inform when a garbage collection or stack
shift happened, if verbose give detailed information on garbage
collection and stack shifts. Last, if very_verbose give detailed
information on data-structures found during the garbage collection
process, namely, on choice-points.
host_type Return configure system information, including the machine-id
for which Yap was compiled and Operating System information.
indexIf on allow indexing (default), if off disable it.
informational_messagesIf on allow printing of informational messages, such as the ones
that are printed when consulting. If off disable printing
these messages. It is on by default except if Yap is booted with
the -L flag.
integer_rounding_function [ISO]Read-only flag telling the rounding function used for integers. Takes the value
down for the current version of YAP.
languageChoose whether YAP is closer to C-Prolog, cprolog, iso-prolog,
iso or SICStus Prolog, sicstus. The current default is
cprolog. This flag affects update semantics, leashing mode,
style_checking, handling calls to undefined procedures, how directives
are interpreted, when to use dynamic, character escapes, and how files
are consulted.
max_arity [ISO]Read-only flag telling the maximum arity of a functor. Takes the value
unbounded for the current version of YAP.
max_integer [ISO]Read-only flag telling the maximum integer in the
implementation. Depends on machine and Operating System
architecture, and on whether YAP uses the GMP multi-precision
library. If bounded is false, requests for max_integer
will fail.
max_tagged_integer Read-only flag telling the maximum integer we can store as a single word. Depends on machine and Operating System architecture. It can be used to find the word size of the current machine.
min_integer [ISO] Read-only flag telling the minimum integer in the
implementation. Depends on machine and Operating System architecture,
and on whether YAP uses the GMP multi-precision library. If
bounded is false, requests for min_integer will fail.
min_tagged_integer Read-only flag telling the minimum integer we can store as a single word. Depends on machine and Operating System architecture.
n_of_integer_keys_in_bbRead or set the size of the hash table that is used for looking up the blackboard when the key is an integer.
n_of_integer_keys_in_dbRead or set the size of the hash table that is used for looking up the internal data-base when the key is an integer.
profilingIf off (default) do not compile profiling information for
procedures. If on compile predicates so that they will output
profiling information. Profiling data can be read through the
profile_data/3 built-in.
redefine_warningsIf Value is unbound, tell whether warnings for procedures defined
in several different files are on or
off. If Value is bound to on enable these warnings,
and if it is bound to off disable them. The default for YAP is
off, unless we are in sicstus or iso mode.
single_var_warningsIf Value is unbound, tell whether warnings for singleton variables
are on or off. If Value is bound to on enable
these warnings, and if it is bound to off disable them. The
default for YAP is off, unless we are in sicstus or
iso mode.
strict_iso If Value is unbound, tell whether strict ISO compatibility mode
is on or off. If Value is bound to on set
language mode to iso and enable strict mode. If Value is
bound to off disable strict mode, and keep the current language
mode. The default for YAP is off.
Under strict ISO prolog mode all calls to non-ISO built-ins generate an error. Compilation of clauses that would call non-ISO built-ins will also generate errors. Pre-processing for grammar rules is also disabled. Module expansion is still performed.
Arguably, ISO Prolog does not provide all the functionality required from a modern Prolog system. Moreover, because most Prolog implementations do not fully implement the standard and because the standard itself gives the implementor latitude in a few important questions, such as the unification algorithm and maximum size for numbers there is not guarantee that programs compliant with this mode will work the same way in every Prolog and in every platform. We thus believe this mode is mostly useful when investigating how a program depends on a Prolog's platform specific features.
stack_dump_on_errorIf on show a stack dump when Yap finds an error. The default is
off.
syntax_errorsControl action to be taken after syntax errors while executing read/1,
read/2, or read_term/3:
dec10Report the syntax error and retry reading the term.
failReport the syntax error and fail (default).
errorReport the syntax error and generate an error.
quietJust fail
system_options This read only flag tells which options were used to compile
Yap. Currently it informs whether the system supports
coroutining, depth_limit, the low_level_tracer,
or-parallelism, rational_trees, tabling,
threads, or the wam_profiler.
tabling_modeSets or reads the tabling mode for all tabled predicates. Please see section Tabling for the list of options.
to_chars_mode Define whether YAP should follow quintus-like
semantics for the atom_chars/1 or number_chars/1 built-in,
or whether it should follow the ISO standard (iso option).
+
toplevel_hook+If bound, set the argument to a goal to be executed before entering the
top-level. If unbound show the current goal or true if none is
presented. Only the first solution is considered and the goal is not
backtracked into.
typein_moduleIf bound, set the current working or type-in module to the argument, which must be an atom. If unbound, unify the argument with the current working module.
unknown [ISO]Corresponds to calling the unknown/2 built-in.
update_semanticsDefine whether YAP should follow immediate update
semantics, as in C-Prolog (default), logical update semantics,
as in Quintus Prolog, SICStus Prolog, or in the ISO standard. There is
also an intermediate mode, logical_assert, where dynamic
procedures follow logical semantics but the internal data base still
follows immediate semantics.
user_errorIf the second argument is bound to a stream, set user_error to
this stream. If the second argument is unbound, unify the argument with
the current user_error stream.
By default, the user_error stream is set to a stream
corresponding to the Unix stderr stream.
The next example shows how to use this flag:
?- open( '/dev/null', append, Error,
[alias(mauri_tripa)] ).
Error = '$stream'(3) ? ;
no
?- set_prolog_flag(user_error, mauri_tripa).
close(mauri_tripa).
yes
?-
|
We execute three commands. First, we open a stream in write mode and
give it an alias, in this case mauri_tripa. Next, we set
user_error to the stream via the alias. Note that after we did so
prompts from the system were redirected to the stream
mauri_tripa. Last, we close the stream. At this point, YAP
automatically redirects the user_error alias to the original
stderr.
user_inputIf the second argument is bound to a stream, set user_input to
this stream. If the second argument is unbound, unify the argument with
the current user_input stream.
By default, the user_input stream is set to a stream
corresponding to the Unix stdin stream.
user_outputIf the second argument is bound to a stream, set user_output to
this stream. If the second argument is unbound, unify the argument with
the current user_output stream.
By default, the user_output stream is set to a stream
corresponding to the Unix stdout stream.
versionRead-only flag that giving the current version of Yap.
write_strings Writable flag telling whether the system should write lists of
integers that are writable character codes using the list notation. It
is on if enables or off if disabled. The default value for
this flag is off.
current_prolog_flag(?Flag,-Value) [ISO]Obtain the value for a YAP Prolog flag. Equivalent to calling
yap_flag/2 with the second argument unbound, and unifying the
returned second argument with Value.
prolog_flag(?Flag,-OldValue,+NewValue)Obtain the value for a YAP Prolog flag and then set it to a new
value. Equivalent to first calling current_prolog_flag/2 with the
second argument OldValue unbound and then calling
set_prolog_flag/2 with the third argument NewValue.
set_prolog_flag(+Flag,+Value) [ISO]Set the value for YAP Prolog flag Flag. Equivalent to
calling yap_flag/2 with both arguments bound.
op(+P,+T,+A) [ISO]Defines the operator A or the list of operators A with type
T (which must be one of xfx, xfy,yfx,
xf, yf, fx or fy) and precedence P
(see appendix iv for a list of predefined operators).
Note that if there is a preexisting operator with the same name and
type, this operator will be discarded. Also, ',' may not be defined
as an operator, and it is not allowed to have the same for an infix and
a postfix operator.
current_op(P,T,F) [ISO]Defines the relation: P is a currently defined operator of type T and precedence P.
prompt(-A,+B)Changes YAP input prompt from A to B.
initializationExecute the goals defined by initialization/1. Only the first answer is considered.
prolog_initialization(G)Add a goal to be executed on system initialization. This is compatible
with SICStus Prolog's initialization/1.
versionWrite YAP's boot message.
version(-Message)Add a message to be written when yap boots or after aborting. It is not possible to remove messages.
prolog_load_context(?Key, ?Value)Obtain information on what is going on in the compilation process. The following keys are available:
directoryFull name for the directory where YAP is currently consulting the file.
fileFull name for the file currently being consulted. Notice that included filed are ignored.
moduleCurrent source module.
sourceFull name for the file currently being read in, which may be consulted, reconsulted, or included.
streamStream currently being read in.
term_positionStream position at the stream currently being read in.
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Library files reside in the library_directory path (set by the
LIBDIR variable in the Makefile for YAP). Currently,
most files in the library are from the Edinburgh Prolog library.
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This library provides a set of utilities for applying a predicate to all elements of a list or to all sub-terms of a term. They allow to easily perform the most common do-loop constructs in Prolog. To avoid performance degradation due to apply/2, each call creates an equivalent Prolog program, without meta-calls, which is executed by the Prolog engine instead. Note that if the equivalent Prolog program already exists, it will be simply used. The library is based on code by Joachim Schimpf.
The following routines are available once included with the
use_module(library(apply_macros)) command.
maplist(+Pred, ?ListIn, ?ListOut)Creates ListOut by applying the predicate Pred to all elements of ListIn.
checklist(+Pred, +List)Succeeds if the predicate Pred succeeds on all elements of List.
selectlist(+Pred, +ListIn, ?ListOut)Creates ListOut of all list elements of ListIn that pass a given test
convlist(+Pred, +ListIn, ?ListOut) A combination of maplist and selectlist: creates ListOut by
applying the predicate Pred to all list elements on which
Pred succeeds
sumlist(+Pred, +List, ?AccIn, ?AccOut)Calls Pred on all elements of List and collects a result in Accumulator.
mapargs(+Pred, ?TermIn, ?TermOut)Creates TermOut by applying the predicate Pred to all arguments of TermIn
sumargs(+Pred, +Term, ?AccIn, ?AccOut)Calls the predicate Pred on all arguments of Term and collects a result in Accumulator
mapnodes(+Pred, +TermIn, ?TermOut) Creates TermOut by applying the predicate Pred to all sub-terms of TermIn (depth-first and left-to-right order)
checknodes(+Pred, +Term) Succeeds if the predicate Pred succeeds on all sub-terms of Term (depth-first and left-to-right order)
sumnodes(+Pred, +Term, ?AccIn, ?AccOut)Calls the predicate Pred on all sub-terms of Term and collect a result in Accumulator (depth-first and left-to-right order)
Examples:
%given
plus(X,Y,Z) :- Z is X + Y.
plus_if_pos(X,Y,Z) :- Y > 0, Z is X + Y.
vars(X, Y, [X|Y]) :- var(X), !.
vars(_, Y, Y).
trans(TermIn, TermOut) :-
(compound(TermIn) ; atom(TermIn)),
TermIn =.. [p|Args],
TermOut =..[q|Args],
!.
trans(X,X).
%success
maplist(plus(1), [1,2,3,4], [2,3,4,5]).
checklist(var, [X,Y,Z]).
selectlist(<(0), [-1,0,1], [1]).
convlist(plus_if_pos(1), [-1,0,1], [2]).
sumlist(plus, [1,2,3,4], 1, 11).
mapargs(number_atom,s(1,2,3), s('1','2','3')).
sumargs(vars, s(1,X,2,Y), [], [Y,X]).
mapnodes(trans, p(a,p(b,a),c), q(a,q(b,a),c)).
checknodes(\==(T), p(X,p(Y,X),Z)).
sumnodes(vars, [c(X), p(X,Y), q(Y)], [], [Y,Y,X,X]).
% another one
maplist(mapargs(number_atom),[c(1),s(1,2,3)],[c('1'),s('1','2','3')]).
|
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The following association list manipulation predicates are available
once included with the use_module(library(assoc)) command. The
original library used Richard O'Keefe's implementation, on top of
unbalanced binary trees. The current code utilises code from the
red-black trees library and emulates the SICStus Prolog interface.
assoc_to_list(+Assoc,?List)Given an association list Assoc unify List with a list of the form Key-Val, where the elements Key are in ascending order.
del_assoc(+Key, +Assoc, ?Val, ?NewAssoc)Succeeds if NewAssoc is an association list, obtained by removing the element with Key and Val from the list Assoc.
del_max_assoc(+Assoc, ?Key, ?Val, ?NewAssoc)Succeeds if NewAssoc is an association list, obtained by removing the largest element of the list, with Key and Val from the list Assoc.
del_min_assoc(+Assoc, ?Key, ?Val, ?NewAssoc)Succeeds if NewAssoc is an association list, obtained by removing the smallest element of the list, with Key and Val from the list Assoc.
empty_assoc(+Assoc)Succeeds if association list Assoc is empty.
gen_assoc(+Assoc,?Key,?Value)Given the association list Assoc, unify Key and Value with two associated elements. It can be used to enumerate all elements in the association list.
get_assoc(+Key,+Assoc,?Value)If Key is one of the elements in the association list Assoc, return the associated value.
get_assoc(+Key,+Assoc,?Value,+NAssoc,?NValue)If Key is one of the elements in the association list Assoc, return the associated value Value and a new association list NAssoc where Key is associated with NValue.
get_prev_assoc(+Key,+Assoc,?Next,?Value)If Key is one of the elements in the association list Assoc, return the previous key, Next, and its value, Value.
get_next_assoc(+Key,+Assoc,?Next,?Value)If Key is one of the elements in the association list Assoc, return the next key, Next, and its value, Value.
is_assoc(+Assoc)Succeeds if Assoc is an association list, that is, if it is a red-black tree.
list_to_assoc(+List,?Assoc)Given a list List such that each element of List is of the form Key-Val, and all the Keys are unique, Assoc is the corresponding association list.
map_assoc(+Pred,+Assoc)Succeeds if the unary predicate name Pred(Val) holds for every element in the association list.
map_assoc(+Pred,+Assoc,?New)Given the binary predicate name Pred and the association list Assoc, New in an association list with keys in Assoc, and such that if Key-Val is in Assoc, and Key-Ans is in New, then Pred(Val,Ans) holds.
max_assoc(+Assoc,-Key,?Value)Given the association list Assoc, Key in the largest key in the list, and Value the associated value.
min_assoc(+Assoc,-Key,?Value)Given the association list Assoc, Key in the smallest key in the list, and Value the associated value.
ord_list_to_assoc(+List,?Assoc)Given an ordered list List such that each element of List is of the form Key-Val, and all the Keys are unique, Assoc is the corresponding association list.
put_assoc(+Key,+Assoc,+Val,+New)The association list New includes and element of association key with Val, and all elements of Assoc that did not have key Key.
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AVL trees are balanced search binary trees. They are named after their inventors, Adelson-Velskii and Landis, and they were the first dynamically balanced trees to be proposed. The YAP AVL tree manipulation predicates library uses code originally written by Martin van Emdem and published in the Logic Programming Newsletter, Autumn 1981. A bug in this code was fixed by Philip Vasey, in the Logic Programming Newsletter, Summer 1982. The library currently only includes routines to insert and lookup elements in the tree. Please try red-black trees if you need deletion.
avl_insert(+Key,?Value,+T0,+TF)Add an element with key Key and Value to the AVL tree T0 creating a new AVL tree TF. Duplicated elements are allowed.
avl_lookup(+Key,-Value,+T)Lookup an element with key Key in the AVL tree T, returning the value Value.
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A heap is a labelled binary tree where the key of each node is less than or equal to the keys of its sons. The point of a heap is that we can keep on adding new elements to the heap and we can keep on taking out the minimum element. If there are N elements total, the total time is O(NlgN). If you know all the elements in advance, you are better off doing a merge-sort, but this file is for when you want to do say a best-first search, and have no idea when you start how many elements there will be, let alone what they are.
The following heap manipulation routines are available once included
with the use_module(library(heaps)) command.
add_to_heap(+Heap,+key,+Datum,-NewHeap)Inserts the new Key-Datum pair into the heap. The insertion is not stable, that is, if you insert several pairs with the same Key it is not defined which of them will come out first, and it is possible for any of them to come out first depending on the history of the heap.
empty_heap(?Heap)Succeeds if Heap is an empty heap.
get_from_heap(+Heap,-key,-Datum,-Heap)Returns the Key-Datum pair in OldHeap with the smallest Key, and also a Heap which is the OldHeap with that pair deleted.
heap_size(+Heap, -Size)Reports the number of elements currently in the heap.
heap_to_list(+Heap, -List)Returns the current set of Key-Datum pairs in the Heap as a List, sorted into ascending order of Keys.
list_to_heap(+List, -Heap)Takes a list of Key-Datum pairs (such as keysort could be used to sort) and forms them into a heap.
min_of_heap(+Heap, -Key, -Datum)Returns the Key-Datum pair at the top of the heap (which is of course the pair with the smallest Key), but does not remove it from the heap.
min_of_heap(+Heap, -Key1, -Datum1,-Key2, -Datum2) Returns the smallest (Key1) and second smallest (Key2) pairs in the heap, without deleting them.
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The following list manipulation routines are available once included
with the use_module(library(lists)) command.
append(?Prefix,?Suffix,?Combined)True when all three arguments are lists, and the members of Combined are the members of Prefix followed by the members of Suffix. It may be used to form Combined from a given Prefix, Suffix or to take a given Combined apart.
delete(+List, ?Element, ?Residue)True when List is a list, in which Element may or may not occur, and Residue is a copy of List with all elements identical to Element deleted.
flatten(+List, ?FlattenedList)Flatten a list of lists List into a single list FlattenedList.
?- flatten([[1],[2,3],[4,[5,6],7,8]],L). L = [1,2,3,4,5,6,7,8] ? ; no |
is_list(+List)True when List is a proper list. That is, List is bound to the empty list (nil) or a term with functor '.' and arity 2.
last(+List,?Last)True when List is a list and Last is identical to its last element.
list_concat(+Lists,?List)True when Lists is a list of lists and List is the concatenation of Lists.
member(?Element, ?Set)True when Set is a list, and Element occurs in it. It may be used to test for an element or to enumerate all the elements by backtracking.
memberchk(+Element, +Set)As member/2, but may only be used to test whether a known
Element occurs in a known Set. In return for this limited use, it
is more efficient when it is applicable.
nth0(?N, ?List, ?Elem)True when Elem is the Nth member of List,
counting the first as element 0. (That is, throw away the first
N elements and unify Elem with the next.) It can only be used to
select a particular element given the list and index. For that
task it is more efficient than member/2
nth(?N, ?List, ?Elem)The same as nth0/3, except that it counts from
1, that is nth(1, [H|_], H).
nth0(?N, ?List, ?Elem, ?Rest)Unifies Elem with the Nth element of List,
counting from 0, and Rest with the other elements. It can be used
to select the Nth element of List (yielding Elem and Rest), or to
insert Elem before the Nth (counting from 1) element of Rest, when
it yields List, e.g. nth0(2, List, c, [a,b,d,e]) unifies List with
[a,b,c,d,e]. nth/4 is the same except that it counts from 1. nth0/4
can be used to insert Elem after the Nth element of Rest.
nth(?N, ?List, ?Elem, ?Rest)Unifies Elem with the Nth element of List, counting from 1,
and Rest with the other elements. It can be used to select the
Nth element of List (yielding Elem and Rest), or to
insert Elem before the Nth (counting from 1) element of
Rest, when it yields List, e.g. nth(1, List, c,
[a,b,d,e]) unifies List with [a,b,c,d,e]. nth/4
can be used to insert Elem after the Nth element of Rest.
permutation(+List,?Perm)True when List and Perm are permutations of each other.
remove_duplicates(+List, ?Pruned)Removes duplicated elements from List. Beware: if the List has non-ground elements, the result may surprise you.
reverse(+List, ?Reversed)True when List and Reversed are lists with the same elements but in opposite orders.
same_length(?List1, ?List2)True when List1 and List2 are both lists and have the same number
of elements. No relation between the values of their elements is
implied.
Modes same_length(-,+) and same_length(+,-) generate either list given
the other; mode same_length(-,-) generates two lists of the same length,
in which case the arguments will be bound to lists of length 0, 1, 2, ...
select(?Element, ?Set, ?Residue)True when Set is a list, Element occurs in Set, and Residue is everything in Set except Element (things stay in the same order).
sublist(?Sublist, ?List)True when both append(_,Sublist,S) and append(S,_,List) hold.
suffix(?Suffix, ?List)Holds when append(_,Suffix,List) holds.
sum_list(?Numbers, ?Total)True when Numbers is a list of numbers, and Total is their sum.
sumlist(?Numbers, ?Total)True when Numbers is a list of integers, and Total is their
sum. The same as sum_list/2, please do use sum_list/2
instead.
max_list(?Numbers, ?Max)True when Numbers is a list of numbers, and Max is the maximum.
min_list(?Numbers, ?Min)True when Numbers is a list of numbers, and Min is the minimum.
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The following ordered set manipulation routines are available once
included with the use_module(library(ordsets)) command. An
ordered set is represented by a list having unique and ordered
elements. Output arguments are guaranteed to be ordered sets, if the
relevant inputs are. This is a slightly patched version of Richard
O'Keefe's original library.
list_to_ord_set(+List, ?Set)Holds when Set is the ordered representation of the set represented by the unordered representation List.
merge(+List1, +List2, -Merged)Holds when Merged is the stable merge of the two given lists.
Notice that merge/3 will not remove duplicates, so merging
ordered sets will not necessarily result in an ordered set. Use
ord_union/3 instead.
ord_add_element(+Set1, +Element, ?Set2)Inserting Element in Set1 returns Set2. It should give
exactly the same result as merge(Set1, [Element], Set2), but a
bit faster, and certainly more clearly. The same as ord_insert/3.
ord_del_element(+Set1, +Element, ?Set2)Removing Element from Set1 returns Set2.
ord_disjoint(+Set1, +Set2)Holds when the two ordered sets have no element in common.
ord_member(+Element, +Set)Holds when Element is a member of Set.
ord_insert(+Set1, +Element, ?Set2)Inserting Element in Set1 returns Set2. It should give
exactly the same result as merge(Set1, [Element], Set2), but a
bit faster, and certainly more clearly. The same as ord_add_element/3.
ord_intersect(+Set1, +Set2)Holds when the two ordered sets have at least one element in common.
ord_intersection(+Set1, +Set2, ?Intersection)Holds when Intersection is the ordered representation of Set1 and Set2.
ord_intersection(+Set1, +Set2, ?Intersection, ?Diff)Holds when Intersection is the ordered representation of Set1 and Set2. Diff is the difference between Set2 and Set1.
ord_seteq(+Set1, +Set2)Holds when the two arguments represent the same set.
ord_setproduct(+Set1, +Set2, -Set)If Set1 and Set2 are ordered sets, Product will be an ordered set of x1-x2 pairs.
ord_subset(+Set1, +Set2)Holds when every element of the ordered set Set1 appears in the ordered set Set2.
ord_subtract(+Set1, +Set2, ?Difference)Holds when Difference contains all and only the elements of Set1 which are not also in Set2.
ord_symdiff(+Set1, +Set2, ?Difference)Holds when Difference is the symmetric difference of Set1 and Set2.
ord_union(+Sets, ?Union)Holds when Union is the union of the lists Sets.
ord_union(+Set1, +Set2, ?Union)Holds when Union is the union of Set1 and Set2.
ord_union(+Set1, +Set2, ?Union, ?Diff)Holds when Union is the union of Set1 and Set2 and Diff is the difference.
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The following routines produce random non-negative integers in the range 0 .. 2^(w-1) -1, where w is the word size available for integers, e.g. 32 for Intel machines and 64 for Alpha machines. Note that the numbers generated by this random number generator are repeatable. This generator was originally written by Allen Van Gelder and is based on Knuth Vol 2.
rannum(-I)Produces a random non-negative integer I whose low bits are not all that random, so it should be scaled to a smaller range in general. The integer I is in the range 0 .. 2^(w-1) - 1. You can use:
rannum(X) :- yap_flag(max_integer,MI), rannum(R), X is R/MI. |
to obtain a floating point number uniformly distributed between 0 and 1.
ranstartInitialize the random number generator using a built-in seed. The
ranstart/0 built-in is always called by the system when loading
the package.
ranstart(+Seed)Initialize the random number generator with user-defined Seed. The same Seed always produces the same sequence of numbers.
ranunif(+Range,-I)ranunif/2 produces a uniformly distributed non-negative random
integer I over a caller-specified range R. If range is R,
the result is in 0 .. R-1.
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The following queue manipulation routines are available once
included with the use_module(library(queues)) command. Queues are
implemented with difference lists.
make_queue(+Queue)Creates a new empty queue. It should only be used to create a new queue.
join_queue(+Element, +OldQueue, -NewQueue)Adds the new element at the end of the queue.
list_join_queue(+List, +OldQueue, -NewQueue)Ads the new elements at the end of the queue.
jump_queue(+Element, +OldQueue, -NewQueue)Adds the new element at the front of the list.
list_jump_queue(+List, +OldQueue, +NewQueue)Adds all the elements of List at the front of the queue.
head_queue(+Queue, ?Head)Unifies Head with the first element of the queue.
serve_queue(+OldQueue, +Head, -NewQueue)Removes the first element of the queue for service.
empty_queue(+Queue)Tests whether the queue is empty.
length_queue(+Queue, -Length)Counts the number of elements currently in the queue.
list_to_queue(+List, -Queue)Creates a new queue with the same elements as List.
queue_to_list(+Queue, -List)Creates a new list with the same elements as Queue.
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The following random number operations are included with the
use_module(library(random)) command. Since Yap-4.3.19 Yap uses
the O'Keefe public-domain algorithm, based on the "Applied Statistics"
algorithm AS183.
getrand(-Key)Unify Key with a term of the form rand(X,Y,Z) describing the
current state of the random number generator.
random(-Number)Unify Number with a floating-point number in the range [0...1).
random(+LOW, +HIGH, -NUMBER)Unify Number with a number in the range
[LOW...HIGH). If both LOW and HIGH are
integers then NUMBER will also be an integer, otherwise
NUMBER will be a floating-point number.
randseq(+LENGTH, +MAX, -Numbers)Unify Numbers with a list of LENGTH unique random integers
in the range [1 ...MAX).
randset(+LENGTH, +MAX, -Numbers)Unify Numbers with an ordered list of LENGTH unique random
integers in the range [1 ...MAX).
setrand(+Key)Use a term of the form rand(X,Y,Z) to set a new state for the
random number generator. The integer X must be in the range
[1...30269), the integer Y must be in the range
[1...30307), and the integer Z must be in the range
[1...30323).
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Red-Black trees are balanced search binary trees. They are named because nodes can be classified as either red or black. The code we include is based on "Introduction to Algorithms", second edition, by Cormen, Leiserson, Rivest and Stein. The library includes routines to insert, lookup and delete elements in the tree.
rb_new(?T)Create a new tree.
rb_empty(?T)Succeeds if tree T is empty.
is_rbtree(+T)Check whether T is a valid red-black tree.
rb_insert(+T0,+Key,?Value,+TF)Add an element with key Key and Value to the tree T0 creating a new red-black tree TF. Duplicated elements are not allowed.
rb_lookup(+Key,-Value,+T)Backtrack through all elements with key Key in the red-black tree T, returning for each the value Value.
rb_lookupall(+Key,-Value,+T)Lookup all elements with key Key in the red-black tree T, returning the value Value.
rb_delete(+T,+Key,-TN)Delete element with key Key from the tree T, returning a new tree TN.
rb_delete(+T,+Key,-Val,-TN)Delete element with key Key from the tree T, returning the value Val associated with the key and a new tree TN.
rb_del_min(+T,-Key,-Val,-TN)Delete the least element from the tree T, returning the key Key, the value Val associated with the key and a new tree TN.
rb_del_max(+T,-Key,-Val,-TN)Delete the largest element from the tree T, returning the key Key, the value Val associated with the key and a new tree TN.
rb_update(+T,+Key,+NewVal,-TN)Tree TN is tree T, but with value for Key associated with NewVal. Fails if it cannot find Key in T.
rb_apply(+T,+Key,+G,-TN)If the value associated with key Key is Val0 in T, and if call(G,Val0,ValF) holds, then TN differs from T only in that Key is associated with value ValF in tree TN. Fails if it cannot find Key in T, or if call(G,Val0,ValF) is not satisfiable.
rb_visit(+T,-Pairs)Pairs is an infix visit of tree T, where each element of Pairs is of the form K-Val.
rb_size(+T,-Size)Size is the number of elements in T.
rb_keys(+T,+Keys)Keys is an infix visit with all keys in tree T. Keys will be sorted, but may be duplicate.
rb_map(+T,+G,-TN)For all nodes Key in the tree T, if the value associated with key Key is Val0 in tree T, and if call(G,Val0,ValF) holds, then the value associated with Key in TN is ValF. Fails if or if call(G,Val0,ValF) is not satisfiable for all Var0.
rb_partial_map(+T,+Keys,+G,-TN)For all nodes Key in Keys, if the value associated with key Key is Val0 in tree T, and if call(G,Val0,ValF) holds, then the value associated with Key in TN is ValF. Fails if or if call(G,Val0,ValF) is not satisfiable for all Var0. Assumes keys are not repeated.
rb_clone(+T,+NT,+Nodes)"Clone" the red-back tree into a new tree with the same keys as the original but with all values set to unbound values. Nodes is a list containing all new nodes as pairs K-V.
rb_min(+T,-Key,-Value)Key is the minimum key in T, and is associated with Val.
rb_max(+T,-Key,-Value)Key is the maximal key in T, and is associated with Val.
rb_next(+T, +Key,-Next,-Value)Next is the next element after Key in T, and is associated with Val.
rb_previous(+T, +Key,-Previous,-Value)Previous is the previous element after Key in T, and is associated with Val.
list_to_rbtree(+L, -T)T is the red-black tree corresponding to the mapping in list L.
ord_list_to_rbtree(+L, -T)T is the red-black tree corresponding to the mapping in ordered list L.
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This library includes routines to determine whether a regular expression
matches part or all of a string. The routines can also return which
parts parts of the string matched the expression or subexpressions of
it. This library relies on Henry Spencer's C-package and is only
available in operating systems that support dynamic loading. The
C-code has been obtained from the sources of FreeBSD-4.0 and is
protected by copyright from Henry Spencer and from the Regents of the
University of California (see the file library/regex/COPYRIGHT for
further details).
Much of the description of regular expressions below is copied verbatim from Henry Spencer's manual page.
A regular expression is zero or more branches, separated by "|". It matches anything that matches one of the branches.
A branch is zero or more pieces, concatenated. It matches a match for the first, followed by a match for the second, etc.
A piece is an atom possibly followed by "*", "+", or "?". An atom followed by "*" matches a sequence of 0 or more matches of the atom. An atom followed by "+" matches a sequence of 1 or more matches of the atom. An atom followed by "?" matches a match of the atom, or the null string.
An atom is a regular expression in parentheses (matching a match for the regular expression), a range (see below), "." (matching any single character), "^" (matching the null string at the beginning of the input string), "$" (matching the null string at the end of the input string), a "\" followed by a single character (matching that character), or a single character with no other significance (matching that character).
A range is a sequence of characters enclosed in "[]". It normally matches any single character from the sequence. If the sequence begins with "^", it matches any single character not from the rest of the sequence. If two characters in the sequence are separated by "-", this is shorthand for the full list of ASCII characters between them (e.g. "[0-9]" matches any decimal digit). To include a literal "]" in the sequence, make it the first character (following a possible "^"). To include a literal "-", make it the first or last character.
regexp(+RegExp,+String,+Opts)Match regular expression RegExp to input string String according to options Opts. The options may be:
nocase: Causes upper-case characters in String to
be treated as lower case during the matching process.
regexp(+RegExp,+String,+Opts,SubMatchVars)Match regular expression RegExp to input string String according to options Opts. The variable SubMatchVars should be originally a list of unbound variables all will contain a sequence of matches, that is, the head of SubMatchVars will contain the characters in String that matched the leftmost parenthesized subexpression within RegExp, the next head of list will contain the characters that matched the next parenthesized subexpression to the right in RegExp, and so on.
The options may be:
nocase: Causes upper-case characters in String to
be treated as lower case during the matching process.
indices: Changes what is stored in
SubMatchVars. Instead of storing the matching characters from
String, each variable will contain a term of the form IO-IF
giving the indices in String of the first and last characters in
the matching range of characters.
In general there may be more than one way to match a regular expression to an input string. For example, consider the command
regexp("(a*)b*","aabaaabb", [], [X,Y])
|
Considering only the rules given so far, X and Y could end up
with the values "aabb" and "aa", "aaab" and
"aaa", "ab" and "a", or any of several other
combinations. To resolve this potential ambiguity regexp chooses among
alternatives using the rule "first then longest". In other words, it
considers the possible matches in order working from left to right
across the input string and the pattern, and it attempts to match longer
pieces of the input string before shorter ones. More specifically, the
following rules apply in decreasing order of priority:
In the example from above, "(a*)b*" matches "aab": the
"(a*)" portion of the pattern is matched first and it consumes
the leading "aa"; then the "b*" portion of the pattern
consumes the next "b". Or, consider the following example:
regexp("(ab|a)(b*)c", "abc", [], [X,Y,Z])
|
After this command X will be "abc", Y will be
"ab", and Z will be an empty string. Rule 4 specifies that
"(ab|a)" gets first shot at the input string and Rule 2 specifies
that the "ab" sub-expression is checked before the "a"
sub-expression. Thus the "b" has already been claimed before the
"(b*)" component is checked and (b*) must match an empty string.
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Splay trees are explained in the paper "Self-adjusting Binary Search Trees", by D.D. Sleator and R.E. Tarjan, JACM, vol. 32, No.3, July 1985, p. 668. They are designed to support fast insertions, deletions and removals in binary search trees without the complexity of traditional balanced trees. The key idea is to allow the tree to become unbalanced. To make up for this, whenever we find a node, we move it up to the top. We use code by Vijay Saraswat originally posted to the Prolog mailing-list.
splay_access(-Return,+Key,?Val,+Tree,-NewTree)If item Key is in tree Tree, return its Val and
unify Return with true. Otherwise unify Return with
null. The variable NewTree unifies with the new tree.
splay_delete(+Key,?Val,+Tree,-NewTree)Delete item Key from tree Tree, assuming that it is present already. The variable Val unifies with a value for key Key, and the variable NewTree unifies with the new tree. The predicate will fail if Key is not present.
splay_init(-NewTree)Initialize a new splay tree.
splay_insert(+Key,?Val,+Tree,-NewTree)Insert item Key in tree Tree, assuming that it is not there already. The variable Val unifies with a value for key Key, and the variable NewTree unifies with the new tree. In our implementation, Key is not inserted if it is already there: rather it is unified with the item already in the tree.
splay_join(+LeftTree,+RighTree,-NewTree)Combine trees LeftTree and RighTree into a single treeNewTree containing all items from both trees. This operation assumes that all items in LeftTree are less than all those in RighTree and destroys both LeftTree and RighTree.
splay_split(+Key,?Val,+Tree,-LeftTree,-RightTree)Construct and return two trees LeftTree and RightTree, where LeftTree contains all items in Tree less than Key, and RightTree contains all items in Tree greater than Key. This operations destroys Tree.
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From Version 4.3.2 onwards YAP implements SICStus Prolog compatible
String I/O. The library allows users to read from and write to a memory
buffer as if it was a file. The memory buffer is built from or converted
to a string of character codes by the routines in library. Therefore, if
one wants to read from a string the string must be fully instantiated
before the library built-in opens the string for reading. These commands
are available through the use_module(library(charsio)) command.
format_to_chars(+Form, +Args, -Result)Execute the built-in procedure format/2 with form Form and
arguments Args outputting the result to the string of character
codes Result.
format_to_chars(+Form, +Args, -Result0, -Result)Execute the built-in procedure format/2 with form Form and
arguments Args outputting the result to the difference list of
character codes Result-Result0.
write_to_chars(+Term, -Result)Execute the built-in procedure write/1 with argument Term
outputting the result to the string of character codes Result.
write_to_chars(+Term, -Result0, -Result)Execute the built-in procedure write/1 with argument Term
outputting the result to the difference list of character codes
Result-Result0.
atom_to_chars(+Atom, -Result)Convert the atom Atom to the string of character codes Result.
atom_to_chars(+Atom, -Result0, -Result)Convert the atom Atom to the difference list of character codes Result-Result0.
number_to_chars(+Number, -Result)Convert the number Number to the string of character codes Result.
number_to_chars(+Number, -Result0, -Result)Convert the atom Number to the difference list of character codes Result-Result0.
read_from_chars(+Chars, -Term)Parse the list of character codes Chars and return the result in the term Term. The character codes to be read must terminate with a dot character such that either (i) the dot character is followed by blank characters; or (ii) the dot character is the last character in the string.
open_chars_stream(+Chars, -Stream)Open the list of character codes Chars as a stream Stream.
with_output_to_chars(?Goal, -Chars)Execute goal Goal such that its standard output will be sent to a memory buffer. After successful execution the contents of the memory buffer will be converted to the list of character codes Chars.
with_output_to_chars(?Goal, ?Chars0, -Chars)Execute goal Goal such that its standard output will be sent to a memory buffer. After successful execution the contents of the memory buffer will be converted to the difference list of character codes Chars-Chars0.
with_output_to_chars(?Goal, -Stream, ?Chars0, -Chars)Execute goal Goal such that its standard output will be sent to a memory buffer. After successful execution the contents of the memory buffer will be converted to the difference list of character codes Chars-Chars0 and Stream receives the stream corresponding to the memory buffer.
The implementation of the character IO operations relies on three YAP built-ins:
charsio:open_mem_read_stream(+String, -Stream)Store a string in a memory buffer and output a stream that reads from this memory buffer.
charsio:open_mem_write_stream(-Stream)Create a new memory buffer and output a stream that writes to it.
charsio:peek_mem_write_stream(-Stream, L0, L)Convert the memory buffer associated with stream Stream to the difference list of character codes L-L0.
These built-ins are initialized to belong to the module charsio in
init.yap. Novel procedures for manipulating strings by explicitly
importing these built-ins.
YAP does not currently support opening a charsio stream in
append mode, or seeking in such a stream.
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Yap now provides a library of system utilities compatible with the
SICStus Prolog system library. This library extends and to some point
replaces the functionality of Operating System access routines. The
library includes Unix/Linux and Win32 C code. They
are available through the use_module(library(system)) command.
datime(datime(-Year, -Month, -DayOfTheMonth,-Hour, -Minute, -Second)
The datime/1 procedure returns the current date and time, with
information on Year, Month, DayOfTheMonth,
Hour, Minute, and Second. The Hour is returned
on local time. This function uses the WIN32
GetLocalTime function or the Unix localtime function.
?- datime(X). X = datime(2001,5,28,15,29,46) ? |
mktime(datime(+Year, +Month, +DayOfTheMonth,+Hour, +Minute, +Second), -Seconds)
The mktime/1 procedure returns the number of Seconds
elapsed since 00:00:00 on January 1, 1970, Coordinated Universal Time
(UTC). The user provides information on Year, Month,
DayOfTheMonth, Hour, Minute, and Second. The
Hour is given on local time. This function uses the WIN32
GetLocalTime function or the Unix mktime function.
?- mktime(datime(2001,5,28,15,29,46),X). X = 991081786 ? ; |
delete_file(+File)The delete_file/1 procedure removes file File. If
File is a directory, remove the directory and all its
subdirectories.
?- delete_file(x). |
delete_file(+File,+Opts)The delete_file/2 procedure removes file File according to
options Opts. These options are directory if one should
remove directories, recursive if one should remove directories
recursively, and ignore if errors are not to be reported.
This example is equivalent to using the delete_file/1 predicate:
?- delete_file(x, [recursive]). |
directory_files(+Dir,+List)Given a directory Dir, directory_files/2 procedures a
listing of all files and directories in the directory:
?- directory_files('.',L), writeq(L).
['Makefile.~1~','sys.so','Makefile','sys.o',x,..,'.']
|
The predicates uses the dirent family of routines in Unix
environments, and findfirst in WIN32.
file_exists(+File)The atom File corresponds to an existing file.
file_exists(+File,+Permissions)The atom File corresponds to an existing file with permissions compatible with Permissions. YAP currently only accepts for permissions to be described as a number. The actual meaning of this number is Operating System dependent.
file_property(+File,?Property)The atom File corresponds to an existing file, and Property
will be unified with a property of this file. The properties are of the
form type(Type), which gives whether the file is a regular
file, a directory, a fifo file, or of unknown type;
size(Size), with gives the size for a file, and
mod_time(Time), which gives the last time a file was
modified according to some Operating System dependent
timestamp; mode(mode), gives the permission flags for the
file, and linkto(FileName), gives the file pointed to by a
symbolic link. Properties can be obtained through backtracking:
?- file_property('Makefile',P).
P = type(regular) ? ;
P = size(2375) ? ;
P = mod_time(990826911) ? ;
no
|
make_directory(+Dir)Create a directory Dir. The name of the directory must be an atom.
rename_file(+OldFile,+NewFile)Create file OldFile to NewFile. This predicate uses the
C built-in function rename.
environ(?EnvVar,+EnvValue)Unify environment variable EnvVar with its value EnvValue, if there is one. This predicate is backtrackable in Unix systems, but not currently in Win32 configurations.
?- environ('HOME',X).
X = 'C:\\cygwin\\home\\administrator' ?
|
host_id(-Id)Unify Id with an identifier of the current host. Yap uses the
hostid function when available,
host_name(-Name)Unify Name with a name for the current host. Yap uses the
hostname function in Unix systems when available, and the
GetComputerName function in WIN32 systems.
kill(Id,+SIGNAL)Send signal SIGNAL to process Id. In Unix this predicate is
a direct interface to kill so one can send signals to groups of
processes. In WIN32 the predicate is an interface to
TerminateProcess, so it kills Id indepent of SIGNAL.
mktemp(Spec,-File)Direct interface to mktemp: given a Spec, that is a file
name with six X to it, create a file name File. Use
tmpnam/1 instead.
pid(-Id)Unify Id with the process identifier for the current process. An interface to the getpid function.
tmpnam(-File)Interface with tmpnam: create an unique file and unify its name with File.
exec(+Command,[+InputStream,+OutputStream,+ErrorStream],
-Status)
Execute command Command with its streams connected to
InputStream, OutputStream, and ErrorStream. The result
for the command is returned in Status. The command is executed by
the default shell bin/sh -c in Unix.
The following example demonstrates the use of exec/3 to send a
command and process its output:
exec(ls,[std,pipe(S),null],P),repeat, get0(S,C), (C = -1, close(S) ! ; put(C)). |
The streams may be one of standard stream, std, null stream,
null, or pipe(S), where S is a pipe stream. Note
that it is up to the user to close the pipe.
working_directory(-CurDir,?NextDir)Fetch the current directory at CurDir. If NextDir is bound to an atom, make its value the current working directory.
popen(+Command, +TYPE, -Stream)Interface to the popen function. It opens a process by creating a
pipe, forking and invoking Command on the current shell. Since a
pipe is by definition unidirectional the Type argument may be
read or write, not both. The stream should be closed
using close/1, there is no need for a special pclose
command.
The following example demonstrates the use of popen/3 to process
the output of a command, as exec/3 would do:
?- popen(ls,read,X),repeat, get0(X,C), (C = -1, ! ; put(C)). X = 'C:\\cygwin\\home\\administrator' ? |
The WIN32 implementation of popen/3 relies on exec/3.
shellStart a new shell and leave Yap in background until the shell
completes. Yap uses the shell given by the environment variable
SHELL. In WIN32 environment YAP will use COMSPEC if
SHELL is undefined.
shell(+Command)Execute command Command under a new shell. Yap will be in
background until the command completes. In Unix environments Yap uses
the shell given by the environment variable SHELL with the option
" -c ". In WIN32 environment YAP will use COMSPEC if
SHELL is undefined, in this case with the option " /c ".
shell(+Command,-Status)Execute command Command under a new shell and unify Status
with the exit for the command. Yap will be in background until the
command completes. In Unix environments Yap uses the shell given by the
environment variable SHELL with the option " -c ". In
WIN32 environment YAP will use COMSPEC if SHELL is
undefined, in this case with the option " /c ".
sleep(+Time)Block the current process for Time seconds. The number of seconds
must be a positive number, and it may an integer or a float. The Unix
implementation uses usleep if the number of seconds is below one,
and sleep if it is over a second. The WIN32 implementation uses
Sleep for both cases.
systemStart a new default shell and leave Yap in background until the shell
completes. Yap uses /bin/sh in Unix systems and COMSPEC in
WIN32.
system(+Command,-Res)Interface to system: execute command Command and unify
Res with the result.
wait(+PID,-Status)Wait until process PID terminates, and return its exits Status.
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The next routines provide a set of commonly used utilities to manipulate
terms. Most of these utilities have been implemented in C for
efficiency. They are available through the
use_module(library(terms)) command.
acyclic_term(?Term)Succeed if the argument Term is an acyclic term.
cyclic_term(?Term)Succeed if the argument Term is a cyclic term.
term_hash(+Term, ?Hash)If Term is ground unify Hash with a positive integer
calculated from the structure of the term. Otherwise the argument
Hash is left unbound. The range of the positive integer is from
0 to, but not including, 33554432.
term_hash(+Term, +Depth, +Range, ?Hash)Unify Hash with a positive integer calculated from the structure
of the term. The range of the positive integer is from 0 to, but
not including, Range. If Depth is -1 the whole term
is considered. Otherwise, the term is considered only up to depth
1, where the constants and the principal functor have depth
1, and an argument of a term with depth I has depth I+1.
term_variables(?Term, -Variables)Unify Variables with a list of all variables in term Term.
variant(?Term1, ?Term2)Succeed if Term1 and Term2 are variant terms.
subsumes(?Term1, ?Term2)Succeed if Term1 subsumes Term2. Variables in term Term1 are bound so that the two terms become equal.
subsumes_chk(?Term1, ?Term2)Succeed if Term1 subsumes Term2 but does not bind any variable in Term1.
variable_in_term(?Term,?Var)Succeed if the second argument Var is a variable and occurs in term Term.
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call_cleanup/1 and call_cleanup/2 allow predicates to register
code for execution after the call is finished. Predicates can be
declared to be fragile to ensure that call_cleanup is called
for any Goal which needs it. This library is loaded with the
use_module(library(cleanup)) command.
:- fragile P,....,PnDeclares the predicate P=[module:]name/arity as a fragile predicate, module is optional, default is the current typein_module. Whenever such a fragile predicate is used in a query it will be called through call_cleanup/1.
:- fragile foo/1,bar:baz/2. |
call_cleanup(+Goal)Execute goal Goal within a cleanup-context. Called predicates might register cleanup Goals which are called right after the end of the call to Goal. Cuts and exceptions inside Goal do not prevent the execution of the cleanup calls. call_cleanup might be nested.
call_cleanup(+Goal, +CleanUpGoal)This is similar to call_cleanup/1 with an additional CleanUpGoal which gets called after Goal is finished.
on_cleanup(+CleanUpGoal)Any Predicate might registers a CleanUpGoal. The CleanUpGoal is put onto the current cleanup context. All such CleanUpGoals are executed in reverse order of their registration when the surrounding cleanup-context ends. This call will throw an exception if a predicate tries to register a CleanUpGoal outside of any cleanup-context.
cleanup_allCalls all pending CleanUpGoals and resets the cleanup-system to an initial state. Should only be used as one of the last calls in the main program.
There are some private predicates which could be used in special cases, such as manually setting up cleanup-contexts and registering CleanUpGoals for other than the current cleanup-context. Read the Source Luke.
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The time_out/3 command relies on the alarm/3 built-in to
implement a call with a maximum time of execution. The command is
available with the use_module(library(timeout)) command.
time_out(+Goal, +Timeout, -Result)Execute goal Goal with time limited Timeout, where Timeout is measured in milliseconds. If the goal succeeds, unify Result with success. If the timer expires before the goal terminates, unify Result with timeout.
This command is implemented by activating an alarm at procedure entry. If the timer expires before the goal completes, the alarm will through an exception timeout.
One should note that time_out/3 is not reentrant, that is, a goal
called from time_out should never itself call
time_out. Moreover, time_out/3 will deactivate any previous
alarms set by alarm/3 and vice-versa, hence only one of these
calls should be used in a program.
Last, even though the timer is set in milliseconds, the current implementation relies on alarm/3, and therefore can only offer precision on the scale of seconds.
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The following queue manipulation routines are available once
included with the use_module(library(trees)) command.
get_label(+Index, +Tree, ?Label)Treats the tree as an array of N elements and returns the Index-th.
list_to_tree(+List, -Tree)Takes a given List of N elements and constructs a binary Tree.
map_tree(+Pred, +OldTree, -NewTree)Holds when OldTree and NewTree are binary trees of the same shape
and Pred(Old,New) is true for corresponding elements of the two trees.
put_label(+Index, +OldTree, +Label, -NewTree)constructs a new tree the same shape as the old which moreover has the same elements except that the Index-th one is Label.
tree_size(+Tree, -Size)Calculates the number of elements in the Tree.
tree_to_list(+Tree, -List)Is the converse operation to list_to_tree.
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The following graph manipulation routines are based in code originally written by Richard O'Keefe. The code was then extended to be compatible with the SICStus Prolog ugraphs library. The routines assume directed graphs, undirected graphs may be implemented by using two edges. Graphs are represented in one of two ways:
These built-ins are available once included with the
use_module(library(ugraphs)) command.
vertices_edges_to_ugraph(+Vertices, +Edges, -Graph)Given a graph with a set of vertices Vertices and a set of edges Edges, Graph must unify with the corresponding s-representation. Note that the vertices without edges will appear in Vertices but not in Edges. Moreover, it is sufficient for a vertice to appear in Edges.
?- vertices_edges_to_ugraph([],[1-3,2-4,4-5,1-5],L). L = [1-[3,5],2-[4],3-[],4-[5],5-[]] ? |
In this case all edges are defined implicitly. The next example shows three unconnected edges:
?- vertices_edges_to_ugraph([6,7,8],[1-3,2-4,4-5,1-5],L). L = [1-[3,5],2-[4],3-[],4-[5],5-[],6-[],7-[],8-[]] ? |
vertices(+Graph, -Vertices)Unify Vertices with all vertices appearing in graph Graph. In the next example:
?- vertices([1-[3,5],2-[4],3-[],4-[5],5-[]], V). L = [1,2,3,4,5] |
edges(+Graph, -Edges)Unify Edges with all edges appearing in graph Graph. In the next example:
?- vertices([1-[3,5],2-[4],3-[],4-[5],5-[]], V). L = [1,2,3,4,5] |
add_vertices(+Graph, +Vertices, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of vertices Vertices to the graph Graph. In the next example:
?- add_vertices([1-[3,5],2-[4],3-[],4-[5],
5-[],6-[],7-[],8-[]],
[0,2,9,10,11],
NG).
NG = [0-[],1-[3,5],2-[4],3-[],4-[5],5-[],
6-[],7-[],8-[],9-[],10-[],11-[]]
|
del_vertices(+Vertices, +Graph, -NewGraph)Unify NewGraph with a new graph obtained by deleting the list of vertices Vertices and all the edges that start from or go to a vertex in Vertices to the graph Graph. In the next example:
?- del_vertices([2,1],[1-[3,5],2-[4],3-[],
4-[5],5-[],6-[],7-[2,6],8-[]],NL).
NL = [3-[],4-[5],5-[],6-[],7-[6],8-[]]
|
add_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of edges Edges to the graph Graph. In the next example:
?- add_edges([1-[3,5],2-[4],3-[],4-[5],5-[],6-[],
7-[],8-[]],[1-6,2-3,3-2,5-7,3-2,4-5],NL).
NL = [1-[3,5,6],2-[3,4],3-[2],4-[5],5-[7],6-[],7-[],8-[]]
|
del_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by removing the list of edges Edges from the graph Graph. Notice that no vertices are deleted. In the next example:
?- del_edges([1-[3,5],2-[4],3-[],4-[5],5-[],
6-[],7-[],8-[]],
[1-6,2-3,3-2,5-7,3-2,4-5,1-3],NL).
NL = [1-[5],2-[4],3-[],4-[],5-[],6-[],7-[],8-[]]
|
transpose(+Graph, -NewGraph)Unify NewGraph with a new graph obtained from Graph by
replacing all edges of the form V1-V2 by edges of the form
V2-V1. The cost is O(|V|^2). In the next example:
?- transpose([1-[3,5],2-[4],3-[],
4-[5],5-[],6-[],7-[],8-[]], NL).
NL = [1-[],2-[],3-[1],4-[2],5-[1,4],6-[],7-[],8-[]]
|
Notice that an undirected graph is its own transpose.
neighbors(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbors of vertex Vertex in Graph. If the vertice is not in the graph fail. In the next example:
?- neighbors(4,[1-[3,5],2-[4],3-[],
4-[1,2,7,5],5-[],6-[],7-[],8-[]],
NL).
NL = [1,2,7,5]
|
neighbours(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbours of vertex Vertex in Graph. In the next example:
?- neighbours(4,[1-[3,5],2-[4],3-[],
4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL).
NL = [1,2,7,5]
|
complement(+Graph, -NewGraph)Unify NewGraph with the graph complementary to Graph. In the next example:
?- complement([1-[3,5],2-[4],3-[],
4-[1,2,7,5],5-[],6-[],7-[],8-[]], NL).
NL = [1-[2,4,6,7,8],2-[1,3,5,6,7,8],3-[1,2,4,5,6,7,8],
4-[3,5,6,8],5-[1,2,3,4,6,7,8],6-[1,2,3,4,5,7,8],
7-[1,2,3,4,5,6,8],8-[1,2,3,4,5,6,7]]
|
compose(+LeftGraph, +RightGraph, -NewGraph)Compose the graphs LeftGraph and RightGraph to form NewGraph. In the next example:
?- compose([1-[2],2-[3]],[2-[4],3-[1,2,4]],L). L = [1-[4],2-[1,2,4],3-[]] |
top_sort(+Graph, -Sort)Generate the set of nodes Sort as a topological sorting of graph Graph, if one is possible. In the next example we show how topological sorting works for a linear graph:
?- top_sort([_138-[_219],_219-[_139], _139-[]],L). L = [_138,_219,_139] |
top_sort(+Graph, -Sort0, -Sort)Generate the difference list Sort-Sort0 as a topological sorting of graph Graph, if one is possible.
transitive_closure(+Graph, +Closure)Generate the graph Closure as the transitive closure of graph Graph. In the next example:
?- transitive_closure([1-[2,3],2-[4,5],4-[6]],L). L = [1-[2,3,4,5,6],2-[4,5,6],4-[6]] |
reachable(+Node, +Graph, -Vertices)Unify Vertices with the set of all vertices in graph Graph that are reachable from Node. In the next example:
?- reachable(1,[1-[3,5],2-[4],3-[],4-[5],5-[]],V). V = [1,3,5] |
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The following graph manipulation routines use the red-black tree library to try to avoid linear-time scans of the graph for all graph operations. Graphs are represented as a red-black tree, where the key is the vertex, and the associated value is a list of vertices reachable from that vertex through an edge (ie, a list of edges).
dgraph_new(+Graph)Create a new directed graph. This operation must be performed before trying to use the graph.
dgraph_vertices(+Graph, -Vertices)Unify Vertices with all vertices appearing in graph Graph.
dgraph_edge(+N1, +N2, +Graph)Edge N1-N2 is an edge in directed graph Graph.
dgraph_edges(+Graph, -Edges)Unify Edges with all edges appearing in graph Graph.
dgraph_add_vertices(+Graph, +Vertices, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of vertices Vertices to the graph Graph.
dgraph_del_vertices(+Vertices, +Graph, -NewGraph)Unify NewGraph with a new graph obtained by deleting the list of vertices Vertices and all the edges that start from or go to a vertex in Vertices to the graph Graph.
dgraph_add_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of edges Edges to the graph Graph.
dgraph_del_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by removing the list of edges Edges from the graph Graph. Notice that no vertices are deleted.
dgraph_neighbors(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbors of vertex Vertex in Graph. If the vertice is not in the graph fail.
dgraph_neighbours(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbours of vertex Vertex in Graph.
dgraph_complement(+Graph, -NewGraph)Unify NewGraph with the graph complementary to Graph.
dgraph_transpose(+Graph, -Transpose)Unify NewGraph with a new graph obtained from Graph by replacing all edges of the form V1-V2 by edges of the form V2-V1.
dgraph_close(+Graph1, +Graph2, -ComposedGraph)Unify ComposedGraph with a new graph obtained by composing Graph1 and Graph2, ie, ComposedGraph has an edge V1-V2 iff there is a V such that V1-V in Graph1 and V-V2 in Graph2.
dgraph_transitive_closure(+Graph, -Closure)Unify Closure with the transitive closure of graph Graph.
dgraph_symmetric_closure(+Graph, -Closure)Unify Closure with the symmetric closure of graph Graph, that is, if Closure contains an edge U-V it must also contain the edge V-U.
dgraph_top_sort(+Graph, -Vertices)Unify Vertices with the topological sort of graph Graph.
dgraph_to_ugraph(+Graph, -UGraph)Unify UGraph with the representation used by the ugraphs unweighted graphs library, that is, a list of the form V-Neighbors, where V is a node and Neighbors the nodes children.
ugraph_to_dgraph( +UGraph, -Graph)Unify Graph with the directed graph obtain from UGraph, represented in the form used in the ugraphs unweighted graphs library.
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The following graph manipulation routines use the red-black tree graph library to implement undirected graphs. Mostly, this is done by having two directed edges per undirected edge.
undgraph_new(+Graph)Create a new directed graph. This operation must be performed before trying to use the graph.
undgraph_vertices(+Graph, -Vertices)Unify Vertices with all vertices appearing in graph Graph.
undgraph_edge(+N1, +N2, +Graph)Edge N1-N2 is an edge in undirected graph Graph.
undgraph_edges(+Graph, -Edges)Unify Edges with all edges appearing in graph Graph.
undgraph_add_vertices(+Graph, +Vertices, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of vertices Vertices to the graph Graph.
undgraph_del_vertices(+Vertices, +Graph, -NewGraph)Unify NewGraph with a new graph obtained by deleting the list of vertices Vertices and all the edges that start from or go to a vertex in Vertices to the graph Graph.
undgraph_add_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by adding the list of edges Edges to the graph Graph.
undgraph_del_edges(+Graph, +Edges, -NewGraph)Unify NewGraph with a new graph obtained by removing the list of edges Edges from the graph Graph. Notice that no vertices are deleted.
undgraph_neighbors(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbors of vertex Vertex in Graph. If the vertice is not in the graph fail.
undgraph_neighbours(+Vertex, +Graph, -Vertices)Unify Vertices with the list of neighbours of vertex Vertex in Graph.
undgraph_complement(+Graph, -NewGraph)Unify NewGraph with the graph complementary to Graph.
dgraph_to_undgraph( +DGraph, -UndGraph)Unify UndGraph with teh undirected graph obtained from the directed graph DGraph.
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This library provides a number of SWI-Prolog builtins that are not by
default in YAP. This library is loaded with the
use_module(library(swi)) command.
append(?List1,?List2,?List3)Succeeds when List3 unifies with the concatenation of List1 and List2. The predicate can be used with any instantiation pattern (even three variables).
between(+Low,+High,?Value)Low and High are integers, High less or equal than
Low. If Value is an integer, Low less or equal than
Value less or equal than High. When Value is a
variable it is successively bound to all integers between Low and
High. If High is inf, between/3 is true iff
Value less or equal than Low, a feature that is particularly
interesting for generating integers from a certain value.
chdir(+Dir)Compatibility predicate. New code should use working_directory/2.
concat_atom(+List,-Atom)List is a list of atoms, integers or floating point numbers. Succeeds
if Atom can be unified with the concatenated elements of List. If
List has exactly 2 elements it is equivalent to atom_concat/3,
allowing for variables in the list.
concat_atom(?List,+Separator,?Atom)Creates an atom just like concat_atom/2, but inserts Separator between each pair of atoms. For example: \
?- concat_atom([gnu, gnat], ', ', A). A = 'gnu, gnat' |
(Unimplemented) This predicate can also be used to split atoms by instantiating Separator and Atom:
?- concat_atom(L, -, 'gnu-gnat'). L = [gnu, gnat] |
nth1(+Index,?List,?Elem)Succeeds when the Index-th element of List unifies with Elem. Counting starts at 1.
Set environment variable. Name and Value should be
instantiated to atoms or integers. The environment variable will be
passed to shell/[0-2] and can be requested using getenv/2.
They also influence expand_file_name/2.
setenv(+Name,+Value)Set environment variable. Name and Value should be
instantiated to atoms or integers. The environment variable will be
passed to shell/[0-2] and can be requested using getenv/2.
They also influence expand_file_name/2.
term_to_atom(?Term,?Atom)Succeeds if Atom describes a term that unifies with Term. When
Atom is instantiated Atom is converted and then unified with
Term. If Atom has no valid syntax, a syntax_error
exception is raised. Otherwise Term is "written" on Atom
using write/1.
working_directory(-Old,+New)Unify Old with an absolute path to the current working directory
and change working directory to New. Use the pattern
working_directory(CWD, CWD) to get the current directory. See
also absolute_file_name/2 and chdir/1.
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All the predicates in this section call a predicate on all members of a
list or until the predicate called fails. The predicate is called via
call/[2..], which implies common arguments can be put in
front of the arguments obtained from the list(s). For example:
?- maplist(plus(1), [0, 1, 2], X). X = [1, 2, 3] |
we will phrase this as "Predicate is applied on ..."
maplist(+Pred,+List)Pred is applied successively on each element of List until
the end of the list or Pred fails. In the latter case
maplist/2 fails.
maplist(+Pred,+List1,+List2)Apply Pred on all successive triples of elements from List1 and List2. Fails if Pred can not be applied to a pair. See the example above.
maplist(+Pred,+List1,+List2,+List4)Apply Pred on all successive triples of elements from List1, List2 and List3. Fails if Pred can not be applied to a triple. See the example above.
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forall(+Cond,+Action)For all alternative bindings of Cond Action can be proven. The next example verifies that all arithmetic statements in the list L are correct. It does not say which is wrong if one proves wrong.
?- forall(member(Result = Formula, [2 = 1 + 1, 4 = 2 * 2]),
Result =:= Formula).
|
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Attributed variables provide a technique for extending the Prolog unification algorithm by hooking the binding of attributed variables. There is little consensus in the Prolog community on the exact definition and interface to attributed variables. Yap Prolog traditionally implements a SICStus-like interface, but to enable SWI-compatibility we have implemented the SWI-Prolog interface, identical to the one realised by Bart Demoen for hProlog.
Binding an attributed variable schedules a goal to be executed at the first possible opportunity. In the current implementation the hooks are executed immediately after a successful unification of the clause-head or successful completion of a foreign language (builtin) predicate. Each attribute is associated to a module and the hook (attr_unify_hook/2) is executed in this module. The example below realises a very simple and incomplete finite domain reasoner.
:- module(domain, [ domain/2 % Var, ?Domain ]). :- use_module(library(oset)). domain(X, Dom) :- var(Dom), !, get_attr(X, domain, Dom). domain(X, List) :- sort(List, Domain), put_attr(Y, domain, Domain), X = Y. % An attributed variable with attribute value Domain has been % assigned the value Y attr_unify_hook(Domain, Y) :- ( get_attr(Y, domain, Dom2) -> oset_int(Domain, Dom2, NewDomain), ( NewDomain == [] -> fail ; NewDomain = [Value] -> Y = Value ; put_attr(Y, domain, NewDomain) ) ; var(Y) -> put_attr( Y, domain, Domain ) ; memberchk(Y, Domain) ). |
Before explaining the code we give some example queries:
?- domain(X, [a,b]), X = c no
?- domain(X, [a,b]), domain(X, [a,c]). X = a
?- domain(X, [a,b,c]), domain(X, [a,c]). X = _D0
The predicate domain/2 fetches (first clause) or assigns
(second clause) the variable a domain, a set of values it can
be unified with. In the second clause first associates the domain
with a fresh variable and then unifies X to this variable to deal
with the possibility that X already has a domain. The
predicate attr_unify_hook/2 is a hook called after a variable with
a domain is assigned a value. In the simple case where the variable
is bound to a concrete value we simply check whether this value is in
the domain. Otherwise we take the intersection of the domains and either
fail if the intersection is empty (first example), simply assign the
value if there is only one value in the intersection (second example) or
assign the intersection as the new domain of the variable (third
example).
put_attr(+Var,+Module,+Value)If Var is a variable or attributed variable, set the value for the
attribute named Module to Value. If an attribute with this
name is already associated with Var, the old value is replaced.
Backtracking will restore the old value (i.e. an attribute is a mutable
term. See also setarg/3). This predicate raises a type error if
Var is not a variable or Module is not an atom.
get_attr(+Var,+Module,+Value)Request the current value for the attribute named Module. If Var is not an attributed variable or the named attribute is not associated to Var this predicate fails silently. If Module is not an atom, a type error is raised.
del_attr(+Var,+Module)Delete the named attribute. If Var loses its last attribute it is transformed back into a traditional Prolog variable. If Module is not an atom, a type error is raised. In all other cases this predicate succeeds regarless whether or not the named attribute is present.
attr_unify_hook(+AttValue,+VarValue)Hook that must be defined in the module an attributed variable refers
to. Is is called after the attributed variable has been
unified with a non-var term, possibly another attributed variable.
AttValue is the attribute that was associated to the variable
in this module and VarValue is the new value of the variable.
Normally this predicate fails to veto binding the variable to
VarValue, forcing backtracking to undo the binding. If
VarValue is another attributed variable the hook often combines
the two attribute and associates the combined attribute with
VarValue using put_attr/3.
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Normal user code should deal with put_attr/3, get_attr/3
and del_attr/2. The routines in this section fetch or set the
entire attribute list of a variables. Use of these predicates is
anticipated to be restricted to printing and other special purpose
operations.
get_attrs(+Var,-Attributes)Get all attributes of Var. Attributes is a term of the form
att(Module, Value, MoreAttributes), where MoreAttributes is
[] for the last attribute.
put_attrs(+Var,+Attributes)Set all attributes of Var. See get_attrs/2 for a description of Attributes.
copy_term_nat(?TI,-TF)As copy_term/2. Attributes however, are not copied but replaced
by fresh variables.
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SWI-Prolog global variables are associations between names (atoms) and
terms. They differ in various ways from storing information using
assert/1 or recorda/3.
nb_setval/2 and
backtrackable assignment using b_setval/2.
Both b_setval/2 and nb_setval/2 implicitely create a variable if the
referenced name does not already refer to a variable.
Global variables may be initialised from directives to make them
available during the program lifetime, but some considerations are
necessary for saved-states and threads. Saved-states to not store global
variables, which implies they have to be declared with initialization/1
to recreate them after loading the saved state. Each thread has
its own set of global variables, starting with an empty set. Using
thread_inititialization/1 to define a global variable it will be
defined, restored after reloading a saved state and created in all
threads that are created after the registration.
b_setval(+Name,+Value)Associate the term Value with the atom Name or replaces
the currently associated value with Value. If Name does
not refer to an existing global variable a variable with initial value
[] is created (the empty list). On backtracking the
assignment is reversed.
b_getval(+Name,-Value)Get the value associated with the global variable Name and unify
it with Value. Note that this unification may further instantiate
the value of the global variable. If this is undesirable the normal
precautions (double negation or copy_term/2) must be taken. The
b_getval/2 predicate generates errors if Name is not an atom or
the requested variable does not exist.
nb_setval(+Name,+Value)Associates a copy of Value created with duplicate_term/2
with the atom Name. Note that this can be used to set an
initial value other than [] prior to backtrackable assignment.
nb_getval(+Name,-Value)The nb_getval/2 predicate is a synonym for b_getval/2, introduced for
compatibility and symetry. As most scenarios will use a particular
global variable either using non-backtracable or backtrackable
assignment, using nb_getval/2 can be used to document that the
variable is used non-backtracable.
nb_current(?Name,?Value)Enumerate all defined variables with their value. The order of enumeration is undefined.
nb_delete(?Name)Delete the named global variable.
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Global variables have been introduced by various Prolog
implementations recently. The implementation of them in SWI-Prolog is
based on hProlog by Bart Demoen. In discussion with Bart it was
decided that the semantics if hProlog nb_setval/2, which is
equivalent to nb_linkval/2 is not acceptable for normal Prolog
users as the behaviour is influenced by how builtin predicates
constructing terms (read/1, =../2, etc.) are implemented.
GNU-Prolog provides a rich set of global variables, including arrays.
Arrays can be implemented easily in SWI-Prolog using functor/3 and
setarg/3 due to the unrestricted arity of compound terms.
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YAP includes several extensions that are not enabled by
default, but that can be used to extend the functionality of the
system. These options can be set at compilation time by enabling the
related compilation flag, as explained in the Makefile
| 9.1 Rational Trees | Working with Rational Trees | |
| 9.2 Coroutining | Changing the Execution of Goals | |
| 10. Attributed Variables | Using attributed Variables | |
| 11. Constraint Logic Programming over Reals | The CLP(R) System | |
| 13. Logtalk | The Logtalk Object-Oriented system | |
| 14. Threads | Thread Library | |
| 15. Parallelism | Running in Or-Parallel | |
| 16. Tabling | Storing Intermediate Solutions of programs | |
| 18. Profiling the Abstract Machine | Profiling Abstract Machine Instructions | |
| 17. Tracing at Low Level | Tracing at Abstract Machine Level |
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Prolog unification is not a complete implementation. For efficiency
considerations, Prolog systems do not perform occur checks while
unifying terms. As an example, X = a(X) will not fail but instead
will create an infinite term of the form a(a(a(a(a(...))))), or
rational tree.
Rational trees are no supported by default in YAP. In previous
versions, this was not the default and these terms could easily lead
to infinite computation. For example, X = a(X), X = X would
enter an infinite loop.
The RATIONAL_TREES flag improves support for these
terms. Internal primitives are now aware that these terms can exist, and
will not enter infinite loops. Hence, the previous unification will
succeed. Another example, X = a(X), ground(X) will succeed
instead of looping. Other affected built-ins include the term comparison
primitives, numbervars/3, copy_term/2, and the internal
data base routines. The support does not extend to Input/Output routines
or to assert/1 YAP does not allow directly reading
rational trees, and you need to use write_depth/2 to avoid
entering an infinite cycle when trying to write an infinite term.
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