Search Results for "json-taglib"

The Simple components for Ada library provides implementations of smart pointers for automatically collected objects (using reference counting), object persistence, unbounded and bounded arrays of smart pointers, generic unbounded arrays of private objects and plain pointers, generic sets, maps, arbitrary precision arithmetic, B-trees, directed graphs, directed weighted graphs, stacks, and storage pools. It also includes table management, string editing, IEEE 754 support, and infix...

.... -- Features -- - Full MinGW and GTK SDKs Autocomplete.(190+) - Do system scripting (bash, applescript, cmd, powershell, perl, j/vbscript, awk) - Examine all sorts of data files (sql, regedit, mib, xml, yaml, json, vcard ...) - Review difference and patch files - Create makefiles (gnu make / cmake) - Edit html, css and config files (with calltips) - Describe circuits in vhdl and spice. ... - And finally; read & write source code: - [ Syntax highlighted ] - go, vala, pike, swift, flash, ch, rust - [ Calltip assisted ] - c/cpp11, js&jQuery, python, php, ruby, lua, c#, java, perl --Others-- - Restructured config files with inline docs - Scriptable via lua Extension...

The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the formats * INI, CFG, .properties The yapydata in particular supports the advanced access to data entries by mapping the dotted-OID notation onto mixed in-memory data types, optional including non-conformant tyeps such as tuple and set.

ZET-JSON is C++ library for json format. ZET-JSON uses STL library. You can use ZET- JSON (not as the library) with your code. ZET-JSON contains following json extension: the same object names in a container, a comma after the last object in a container, comments, string concatenation.

360-FAAR (Firewall Analysis Audit and Repair) is an offline, command line, firewall policy manipulation tool to filter, compare to logs, merge, translate and output firewall commands for new policies, in Checkpoint dbedit, Cisco ASA or ScreenOS commands, and its one file! Read Policy and Logs for: Checkpoint FW1 (in odumper.csv / logexport format), Netscreen ScreenOS (in get config / syslog format), Cisco ASA (show run / syslog format), 360-FAAR compares firewall policies and uses...

RTS2 is project to create an open source environment for control of a fully autonomous observatory. It is running about dozen fully autonomous observatories. Its modular design allow easily addition of new devices (to already huge supported HW list).

Libcutils provides a self-contained set of fundamental routines which are essential to basically any Unix utility or daemon application written in C. The library provides fundamental data structures such as lists, hash-maps, strings and parsing functions for JSON or the typical dot-file based configuration data. The following list summarizes the currently supported functionality: * length delimited instead of NULL terminated strings * memory management based on reference counting * several list processing functions like iterators and map-reduce * support of [Ideal Hash Tries](http://infoscience.epfl.ch/record/64398/files/idealhashtrees.pdf) for highly efficient hash map data structures * parsers for [JSON](http://json.org) data and the text configuration files found in Unix system * doubly linked circular lists for reliable event queues * support for test and debugging of memory management problems such as memory leaks

...Creating a table hwrapper=Hwrapper() hwrapper.connectionParameters("host","port", False) // third argument set to false if you are not using https hwrapper.setAcceptType("json") columnFamilies={"cf","cf1"} hwrapper.create_table("table_name",columnFamilies) get Row data by ID (decoded base64 values) hwrapper.get_RowBy_ID("0000000-120529115546748") // outputs list of dicts, dicts contain column names and values Dropping a table hwrapper.drop_table("table_name") Displaying table schema hwrapper.table_schema("table_name") Listing all tables from hbase hwrapper.list_tables()

Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.

It's a C++ library for JSON format.