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Uniutils consists of five programs for finding out what is in a Unicode file. They are useful when working with Unicode files when one doesn't know the writing system, doesn't have the necessary font, needs to inspect invisible characters, needs to find out whether characters have been combined or in what order they occur, or needs statistics on which characters occur. uniname defaults to printing the character offset of each character, its byte offset, its hex code value, its encoding, the glyph itself, and its name. unidesc reports the character ranges to which different portions of the text belong. It can also be used to identify Unicode encodings (e.g. UTF-16be) flagged by magic numbers. unihist generates a histogram of the characters in its input, which must be encoded in UTF-8 Unicode. ExplicateUTF8 is intended for debugging or for learning about Unicode. It determines and explains the validity of a sequence of bytes as a UTF8 encoding. Unirev is a filter that reverses UTF-8 strings character-by-character (as opposed to byte-by-byte).

This little program analyses the structure of FORTRAN source-code. As a result you get a little flow diagram in which you can recognize which SUBROUTINE is called by the program. Further all subroutines called from this one are displayed. The indciation of the displayed names is a degree for the level. A new addition is the change of the starting point for an analysis. Instead to check the whole source-code you can start with a special SUBROUTINE and see the depence of this one. The number of files which contain the routines are not restricted by the program. You can report the CALL- and/or SUBROUTINE-statements together with filenames and line numbers to special files. Dirk Geschke 7. March 1997

A Python interface to libarchive. It uses the standard ctypes module to dynamically load and access the C library.

This package provides a Perl interface to the F5 BigIP iControl API. The F5 BigIP iControl API is an open SOAP/XML for communicating with supported F5 BigIP products.

This module provides an API for parts of the perl parser. It can be used to modify code while it's being parsed.

SLOCCount can count physical SLOC for a wide number of languages. It can gracefully handle awkward situations in many languages, for example, it can determine the syntax used in different assembly language files and adjust appropriately, it knows about Python's use of string constants as comments, and it can handle various Perl oddities (e.g., perlpods, here documents, and Perl's __END__ marker). It even has a "generic" SLOC counter that you may be able to use count the SLOC of other languages (depending on the language's syntax). SLOCCount can also take a large list of files and automatically categorize them using a number of different heuristics. The heuristics automatically determine if a file is a source code file or not, and if so, which language it's written in. It will even examine file headers to attempt to accurately determine the file's true type. As a result, you can analyze large systems completely automatically. Finally, SLOCCount has some report-generating tools to collect the data generated, and then present it in several different formats and sorted different ways. The report-generating tool can also generate simple tab- separated files so data can be passed on to other analysis tools (such as spreadsheets and database systems).

The objective of the package is to provide a fast and essential HTML check (esp. for CGI scripts where response time is important) to prevent a piece of user input HTML code from messing up the rest of a file, i.e., to minimize and localize any possible damage created by including a piece of user input HTML text in a dynamic document. HTMLQuickCheck checks for unmatched < and >, unmatched tags and improper nesting, which could ruin the rest of the document. Attributes and elements with optional end tags are not checked, as they should not cause disasters with any decent browsers (they should ignore any unrecognized tags and attributes according to the standard). A piece of HTML that passes HTMLQuickCheck may not necessarily be valid HTML, but it would be very unlikely to screw others but itself. A valid piece of HTML that doesn't pass the HTMLQuickCheck is however very likely to screw many browsers(which are obviously broken in terms of strict conformance). HTMLQuickCheck currently supports HTML 1.0, 2.x (draft), 3.0 (draft) and netscape extensions (1.1).

*** WARNING *** THIS MODULE IS STILL EXPERIMENTAL !!! This module is related to the possible transition of Catalyst from NEXT to Class::C3. This transition hasn't happened yet, and might not for a while. This module is only intended for use by Catalyst module developers at this time. You would know it if you should be using this module. *** END WARNING ***

Torrus is designed to be the universal data series processing framework. Although most users deploy Torrus for SNMP monitoring, it might be useful for data series of any nature. Tobi Oetiker's RRDtool is used for data storage. * Configuration compiler and validator. It processes the XML configuration files and saves the configuration into a database. * View renderer and the web interface. They generate HTML and the graphical representation of the datasources and provide user authentication and authorization. All generated output is controlled by the configuration parameters and templates. The users can easily create their own presentation of data series. * SNMP Collector. Modular collector core architecture allows further extension with new collector and storage types. Any datasource can have its own polling schedule. * SNMP Device Discovery Tool. Devdiscover is a new, modular, flexible, and expandable tool for automatic generation of Torrus configuration files. New device types and MIBs are easily added as independent Perl modules. * Threshold monitor. All data, regardless of their type and nature, can be monitored according to the user-defined rules. The rules can also include the datasource-specific parameters, e.g. boundary values etc. The thresholds are specified by RPN expressions.

QEMU is a FAST! processor emulator using dynamic translation to achieve good emulation speed. QEMU has two operating modes: * Full system emulation. In this mode, QEMU emulates a full system (for example a PC), including a processor and various peripherials. It can be used to launch different Operating Systems without rebooting the PC or to debug system code. * User mode emulation (Linux host only). In this mode, QEMU can launch Linux processes compiled for one CPU on another CPU. It can be used to launch the Wine Windows API emulator or to ease cross-compilation and cross-debugging. As QEMU requires no host kernel patches to run, it is very safe and easy to use. This is a slave port of emulators/qemu-sbruno to build only static bsd-user targets named like qemu-mips-static. While still being experimental people have already built quite a few armv6/mips/mips64 packages using these and e.g. poudriere. Some notes are also here: http://wiki.freebsd.org/QemuUserModeHowTo