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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.
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 ...
A full example of a WSGI network server is outside the scope of this article. Below is a sketch of how one would call a WSGI application and retrieve its HTTP status line, response headers, and response body, as Python objects. [10] Details of how to construct the environ dict have been omitted.
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.
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]
Parse tree generated with NLTK. The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning ...
ASP 2.0 was released in September 1997 as part of IIS 4.0; ASP 3.0 was released in November 2000 as part of IIS 5.0; ASP 2.0 provides six built-in objects: Application, ASPError, Request, Response, Server, and Session. A Session object, for example, represents a session that maintains the state of variables from page to page. [1]
Parser generators use a formal grammar to parse an input stream. It is typically preferable to have a parser, one generated by Yacc for instance, accept a stream of tokens (a "token-stream") as input, rather than having to process a stream of characters (a "character-stream") directly. Lex is often used to produce such a token-stream.