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The bit version is available for all versions of Microsoft Windows, from Windows 98SE right up to Windows 8, and everything in-between, while the bit version has been built for Windows 7 and later. All current documentation is included, Adobe Reader format. You can read any or all of the documents directly from the CD-ROM, even before you install your software.

Should you decide to upgrade your software level say, from Programmer to Developer edition , or to add additional toolkits to your library, all you require is a revised CD lock code from LPA, which means that you can gain access to the additional resources instantly, without waiting for CDs to arrive by post. The system comes as a true bit application for Windows 11 and 10, and also as a bit application for all versions of Windows systems right back to 98SE.

It is totally integrated with the Windows operating system, and utilises a Multiple Document Interface MDI environment for editing, compiling, debugging and running programs. The development environment permits any number of program edit windows to be open at any one time, and you can cut and paste text between them. Standard search and replace edit facilities, together with special Prolog-related ones such as “goto definition” make the maintenance of large, complex systems easy.

You can compile or optimise program edit windows individually or all together, and save your work as and when you want to. A full source-level debugger utilises a special dialog in which you can scroll through program source code, variable bindings, and other information. A multi-level break facility allows you to escape from the debugger to run supplementary queries before returning.

A traditional box model debugger, together with a collection of small, special purpose debuggers, complements the source-level debugger to provide unprecedented flexibility in program testing. Making use of the Rich Edit 3. Its “Rich Syntax Colouring” recognises many special cases, for example, distinguishing between single-use and multi-use variables, and between operators, built-in predicate names, compiled and uncompiled user predicate names. Rich Syntax Colouring is not limited to source code windows: console queries are also coloured, as is the code window in the Source Level Debugger; printed text is fully coloured too, and it is easy to export fully coloured program text as Rich Text RTF files, for loading into a wird processor for inclusion in reports and documents.

Using built in predicates, you can create and destroy windows, modal and modeless dialogs, control items, menus and fonts. Windows can be renamed, resized, repositioned, hidden or shown, enabled or disabled.

List boxes, combo boxes and menus can be added to, deleted from and inserted into. Text in edit controls can be selected by offset or line number, searched, scrolled, replaced, deleted and inserted into. Buttons can be restyled, grouped, checked or unchecked, selected or deselected, greyed or enabled. Fonts of any face, size and style can be applied to any control window, including edit, button, static, list box and combobox controls.

Initialisation files can be created, written, read, added to and deleted from. Links can be found from any given window to its parents, siblings and children, and top level windows can be searched for by class and name. All of the above operations can be applied to any window whose handle is known. You can read or write text from and to any window: thanks to the special string data type, the passing of large amounts of data between Prolog and Windows is both simple and efficient. This provides both the graphics functions needed to draw lines, ellipses, rectangles, polygons, bitmaps, icons, metafiles and cursors, and those needed to maintain resources.

Each graphic resource, be it a bitmap, icon, or whatever, is given a Prolog name which is maintained, automatically, in a dictionary. When such a resource is no longer required, it can be deleted simply to free up system memory. Icons, bitmaps and metafiles can be loaded direct from disk, and in the case of icons, extracted from any Windows executable file.

The repainting of graphics windows is handled elegantly through the use of message handlers see below , and all necessary housekeeping is carried out “behind the scenes”. Graphics can be painted into any window, but special support is given both for buttons allowing the creation of graphical toolboxes and special “grafix” control windows.

Once you have created a dialog, filled it with controls, and placed initial data into them, you can use the dialog as often as you wish, either in a modal or modeless fashion. All button clicks, list and combo box selections, edit control changes, and scroll bar movements are reported to a special handler program whose job it is to process the dialog. Each dialog can have its own handler, or they can share handlers. You write these handlers, entirely in Prolog, to perform any actions you like.

Similarly, when you have built a menu, with or without submenus, you can install it on the main menu bar. Whenever selections are made, messages are sent to a special menu handler, again which you have written in Prolog, and which can perform any actions you like. As well as the user dialog and menu handlers, several message “hooks” are provided to enable you to capture and process certain messages from the predefined modeless dialogs, DLL modules and the keyboard.

The parameters may be integers, string pointers, or arbitrary structures, and facilities exist for defining named “memory files”. All memory allocation and stack frame creation is carried out automatically, so your only job as a programmer is to provide the relevant data and call the function. As well as creating or opening files on disk, WIN-PROLOG has the powerful ability to open “virtual” files in memory: these have no disk image, and can be of any size within available resources.

Ideal as temporary scratchpads during complex data operations, they are both extremely fast no need to bother the hard disk and avoid the usual worries about how best to name a temporary file: they don’t have external names!

Applications which require the storage of large numbers of small data items such as bit tables are especially helped by this feature. DLL are updated with later versions on older versions of Windows. A significant advantage of the true bit implementation is that all pointers and integers are 32 bits wide, giving WIN-PROLOG the ability directly to address up to 4 gigabytes megabytes of memory.

You can divide memory in any way you like between program, text and dynamic data: there are no built-in limits or restrictions. And moreover, it can open and handle up to 64 such files simultaneously, with full random access for both reading and writing. Such massive files greatly exceed the size of storage available today, so effective provide no upper limit to file size. On a more practical note, this means that items such as large video files can be processed easily.

With all the memory available to the designers, it would have been tempting to skimp on garbage collection features. The evaluation stacks and heap are managed by a linear garbage collector: doubling the size of evaluation space roughly doubles the time taken to collect garbage on any one occasion, but garbage collection occurs only half as often.

The result is that there is no degradation of performance, when even vastly different sizes of evaluation space are used. A fixed size cell allocation scheme avoids any risk of memory fragmentation. Text space is used to store the bodies of atoms and strings, and is managed as a special heap.

It too is fully garbage collectable. Program space is used to store clauses and optimised programs, and is totally reclaimable when these programs are abolished. Both text and program spaces use a special segmented heap format which guarantees that every last byte of memory can be used, with no fragmentation or degradation problems, however many times items have been added or removed. Because the compiler is incremental, individual clauses can be added by programs – just as in a conventional interpreter.

Both the incremental compilation and decompilation routines are written in assembler code, and are very fast, matching the speed of their interpreter equivalents – but the clauses they manage run some times faster than they would in an interpreter. The optimising compiler can perform all the optimisations just mentioned, and more.

There is full support for multiple-argument indexing, which enable the very fast matching of clauses on any arbitrary argument as opposed to the single first-argument indexing the incremental compiler and other Prolog systems , and a complete analysis of variable usage is performed on relations.

Any variables which can be left in situ between calls are left so, substantially reducing the data traffic in most programs. Optimised programs can run some or more times faster than incrementally compiled ones, and use less space during execution.

Decompilation of these programs is not possible, so your source code will remain completely hidden in applications. The library provides high-speed, high-precision arithmetic computations, and includes support for standard “calculator” functions, trigonometric and logarithmic functions, floating point to integer conversion and truncation functions, maximum and minimum functions, and pseudo random numbers.

Direct support is also provided for bit integer style shift, rotate and bitwise logical functions. For special systems applications, a bit integer, reverse polish notation evaluator is provided, once again implemented in bit assembler. This evaluator provides very high speed computation of integer expressions, and supports the standard “calculator” functions, bitwise logical functions, and pseudo random numbers. The carefully researched, pseudo random number generator is useful in a variety of applications, including games, simulations and data encryption.

The single, seedable generator is shared between the floating point and integer evaluators, so switching portions of code between these two domains will not violate the integrity of a pseudo random sequence. Fixed field display, with left or right justification, optional truncation, and free field formats are all supported. Numbers can be output in fixed point, signed or unsigned integer, and even non-decimal base formats anything from base 2 binary , through base 16 hexadecimal right up to base Matching formatted input allows structured records to be read in with automatic type checking.

While the traditional Prolog “string”, namely a list of 8-bit integers, is a powerful means by which to manipulate small pieces of text, it is extremely inefficient as a way of storing text.

This inefficiency would be compounded in a bit Prolog system, where each one-character element of the list would need 10 bytes of storage on the dynamic heap. Any number of such strings may exist in Prolog terms, and each may contain up to 64Kb of text. Because of the way these strings are stored, garbage collection is still quick and efficient, and even string space cannot become fragmented. Many built in predicates use strings as a means of passing large amounts of text or binary data around, for example between a window buffer and a disk file.

In addition, strings may be used as input and output streams: for example, the call:. This string could be manipulated, displayed in a window, and processed in virtually any fashion. A modified version of the original LZ77 algorithm, LZSS uses a sliding window to hold processed data, while a look-ahead buffer peeks into the stream of data yet to be compressed.

Depending upon the sizes of sliding window and look-ahead buffer, compression ratios of up to are theoretically possible for highly patterned data; in practice, ratios of to are more usual.

More advanced uses might include the creation of mixed database files consisting of uncompressed index information, and compressed data records. Two special features of MZSS encryption make it especially secure: “comb filtering” and “sequence variation”. Another common attack on simple cyphertext is to find some other document to which both the encrypted and decrypted version are available.

MZSS encryption prevents such an attack by adding additional data to the user’s password: this results in “sequence variation”, so that even if the same password is used on more than one occasion, the random sequence it generates is completely different each time.

Displaying ln2 X performance characteristics, it is capable of sorting lists of 10, elements in around two seconds on a 25MHz This powerful feature allows you, for example, to sort a given list of names and addresses by surname, street name, town or post code, simply by changing the search key parameter. As you would expect from LPA’s Prolog implementations, WIN-PROLOG has a huge library of operating system interface functions, providing for disk file and directory management, program execution, the reading of environment variable strings, and time and date functions.

Predicates allow you to create, rename and remove files or directories, and you can test and modify file attributes and timestamps.

File directories can be read according to file name and attribute matching, returning information about each file’s size, time and date. For specialist time and date applications, a built in predicate allows you to compute absolute day numbers for any given date, or vice versa, allowing days between dates, lunar phases, and other such calculations to be made.

For special purposes, up to 64 completely independent, programmable timers may be set or tested. This predicate can perform various operations, before resetting the timer. Because of the design of the timers, real-time synchronisation is maintained, even if an individual hook is delayed in its operation.

Uses for timers include timeouts on user input, periodic updating of clock or calendar displays, the writing of sophisticated profile tools, and so on. All you need to do is enter your full name and email address, and optionally some other details about you and your work, and your own customised copy of the software is just a couple of mouse clicks away!

This new feature gives WIN-PROLOG the capability to access vast file-based datasets, as well as perform more mundane tasks such as managing large video and other media files Native x87 Floating Point Package : A brand new high-precision, floating point maths package has been written to replace the previously-used emulation library that was used since the earliest days of PROLOG.

The new package is faster, more accurate, and has been extensively tested for over a year prior to public release Enhanced HTML Help : the HTML-based Help subsystem has been greatly improved, with proper layout and typsetting of examples, to make them easiter to read.

 
 

.net – replace.meViolationException in C# interface to Swi-prolog – Stack Overflow

 

Did you know Search Documentation:. Binaries 13,, bytes SWI-Prolog 9. SHA : caf7c68da8ababfbcaefcfeeae SHA : 50e63e1cece1eef13f68fcadc6edc4c4d6. SHA : 1e5f3a86baecbfcba6fef04c9bbedf1adde. SHA : 1b9c62caaa0dafd1dabb8c10c7cdce10a3b71feb3af. SHA : ebcabd62b9cdac30bdbe9aaaf49d7fdc6dafb. Install scripts may download the SHA checksum by appending.

Scripts can download the latest version by replacing the version of the file with latest. SWI-Prolog 9. NET Framework 4. NET Framework 4, 4. The offline package can be used in situations in which the web installer cannot be used because of lack of Internet connectivity. This package is larger than the web installer and does not include the language packs. We recommend that you use the web installer instead of the offline installer for optimal efficiency and bandwidth requirements.

When you install this package, you can see following packages or updates installed as per operating system:. In Windows RT 8. Download the Microsoft. For more information about how to download Microsoft support files, see How to obtain Microsoft support files from online services. Virus Scan Claim : Microsoft scanned this file for viruses. Microsoft used the most current virus-detection software that was available on the date that the file was posted.

The file is stored on security-enhanced servers that help prevent any unauthorized changes to the file. Fixed the issue with interaction between WPF user control and hosting WinForms app when processing keyboard input.

Fixed the issue with rendering ” This leak may lead to extraneous GC. Collect calls that can impact performance in Window creation scenarios. There is full support for multiple-argument indexing, which enable the very fast matching of clauses on any arbitrary argument as opposed to the single first-argument indexing the incremental compiler and other Prolog systems , and a complete analysis of variable usage is performed on relations. Any variables which can be left in situ between calls are left so, substantially reducing the data traffic in most programs.

Optimised programs can run some or more times faster than incrementally compiled ones, and use less space during execution.

Decompilation of these programs is not possible, so your source code will remain completely hidden in applications. The library provides high-speed, high-precision arithmetic computations, and includes support for standard “calculator” functions, trigonometric and logarithmic functions, floating point to integer conversion and truncation functions, maximum and minimum functions, and pseudo random numbers. Direct support is also provided for bit integer style shift, rotate and bitwise logical functions.

For special systems applications, a bit integer, reverse polish notation evaluator is provided, once again implemented in bit assembler. This evaluator provides very high speed computation of integer expressions, and supports the standard “calculator” functions, bitwise logical functions, and pseudo random numbers.

The carefully researched, pseudo random number generator is useful in a variety of applications, including games, simulations and data encryption.

The single, seedable generator is shared between the floating point and integer evaluators, so switching portions of code between these two domains will not violate the integrity of a pseudo random sequence.

Fixed field display, with left or right justification, optional truncation, and free field formats are all supported. Numbers can be output in fixed point, signed or unsigned integer, and even non-decimal base formats anything from base 2 binary , through base 16 hexadecimal right up to base Matching formatted input allows structured records to be read in with automatic type checking. While the traditional Prolog “string”, namely a list of 8-bit integers, is a powerful means by which to manipulate small pieces of text, it is extremely inefficient as a way of storing text.

This inefficiency would be compounded in a bit Prolog system, where each one-character element of the list would need 10 bytes of storage on the dynamic heap. Any number of such strings may exist in Prolog terms, and each may contain up to 64Kb of text. Because of the way these strings are stored, garbage collection is still quick and efficient, and even string space cannot become fragmented. Many built in predicates use strings as a means of passing large amounts of text or binary data around, for example between a window buffer and a disk file.

In addition, strings may be used as input and output streams: for example, the call:. This string could be manipulated, displayed in a window, and processed in virtually any fashion. A modified version of the original LZ77 algorithm, LZSS uses a sliding window to hold processed data, while a look-ahead buffer peeks into the stream of data yet to be compressed.

Depending upon the sizes of sliding window and look-ahead buffer, compression ratios of up to are theoretically possible for highly patterned data; in practice, ratios of to are more usual.

More advanced uses might include the creation of mixed database files consisting of uncompressed index information, and compressed data records. Two special features of MZSS encryption make it especially secure: “comb filtering” and “sequence variation”. Another common attack on simple cyphertext is to find some other document to which both the encrypted and decrypted version are available. MZSS encryption prevents such an attack by adding additional data to the user’s password: this results in “sequence variation”, so that even if the same password is used on more than one occasion, the random sequence it generates is completely different each time.

Displaying ln2 X performance characteristics, it is capable of sorting lists of 10, elements in around two seconds on a 25MHz This powerful feature allows you, for example, to sort a given list of names and addresses by surname, street name, town or post code, simply by changing the search key parameter.

As you would expect from LPA’s Prolog implementations, WIN-PROLOG has a huge library of operating system interface functions, providing for disk file and directory management, program execution, the reading of environment variable strings, and time and date functions. Predicates allow you to create, rename and remove files or directories, and you can test and modify file attributes and timestamps.

File directories can be read according to file name and attribute matching, returning information about each file’s size, time and date. For specialist time and date applications, a built in predicate allows you to compute absolute day numbers for any given date, or vice versa, allowing days between dates, lunar phases, and other such calculations to be made.

For special purposes, up to 64 completely independent, programmable timers may be set or tested. This predicate can perform various operations, before resetting the timer. Because of the design of the timers, real-time synchronisation is maintained, even if an individual hook is delayed in its operation.

 

Win prolog 4.8 download

 
EXE) free download, latest version ✓, WIN-PROLOG is the leading Prolog compiler system for Windows-based PCs. No reviews. Create the first review!. Details by download location. Version, SHA1, #Downloads, URL.

 
 

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