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logparser is a flexible command line utility that was initially written by Gabriele Giuseppini, [1] a Microsoft employee, to automate tests for IIS logging.It was intended for use with the Windows operating system, and was included with the IIS 6.0 Resource Kit Tools.
PLY is a parsing tool written purely in Python. It is, in essence, a re-implementation of Lex and Yacc originally in C-language . It was written by David M. Beazley .
In 2003, Python web frameworks were typically written against only CGI, FastCGI, mod_python, or some other custom API of a specific web server. [6] To quote PEP 333: Python currently boasts a wide variety of web application frameworks, such as Zope, Quixote, Webware, SkunkWeb, PSO, and Twisted Web -- to name just a few.
For example, if you need to load data into two databases, you can run the loads in parallel (instead of loading into the first – and then replicating into the second). Sometimes processing must take place sequentially. For example, dimensional (reference) data are needed before one can get and validate the rows for main "fact" tables.
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
HRESULT is defined in a system header file as a 32-bit, signed integer [1] and is often treated opaquely as an integer, especially in code that consumes a function that returns HRESULT.
For computer log management, the Common Log Format, [1] also known as the NCSA Common log format, [2] (after NCSA HTTPd) is a standardized text file format used by web servers when generating server log files. [3] Because the format is standardized, the files can be readily analyzed by a variety of web analysis programs, for example Webalizer ...
The system uses a DFA for lexical analysis and the LALR algorithm for parsing. Both of these algorithms are state machines that use tables to determine actions. GOLD is designed around the principle of logically separating the process of generating the LALR and DFA parse tables from the actual implementation of the parsing algorithms themselves.