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How to validating the parser in perl

how to validating the parser in perl-57

This module allows Perl programmers to make use of the highly capable validating XML parser and the high performance DOM implementation.In various use-cases, but especially at web-based registration forms we need to make sure the value we received is a valid e-mail address.

how to validating the parser in perl-44

JSON:: Validator can load JSON schemas in multiple formats: Plain perl data structured or files on disk/web in the JSON/YAML format.So the question often arise, how to validate (or extract) an e-mail address using Regular Expressions in Perl?Before we try to answer that question, let me point out that there are already, ready-made and high-quality solutions for these problems.The objective of this technique is to avoid ambiguities in Web pages that often result from code that does not validate against formal specifications.Each technology's mechanism to specify the technology and technology version is used, and the Web page is validated against the formal specification of that technology.If a validator for that technology is available, the developer can use it.

Validation will usually eliminate ambiguities (and more) because an essential step in validation is to check for proper use of that technology's markup (in a markup language) or code (in other technologies).

See Understanding Techniques for WCAG Success Criteria for important information about the usage of these informative techniques and how they relate to the normative WCAG 2.0 success criteria.

The Applicability section explains the scope of the technique, and the presence of techniques for a specific technology does not imply that the technology can be used in all situations to create content that meets WCAG 2.0.

Another common use-case is when we get a large text-file (a dump, or a log file) and we need to extract the list of e-mail address from that file.

Many people know that Perl is powerful in text processing and that using regular expressions can be used to solve difficult text-processing problems with just a few tens of characters in a well-crafted regex.

The JSON parsing is done using Mojo:: JSON, while the YAML parsing is done with an optional modules which need to be installed manually.