Are there any Python specific tags for PyYaml?

Are there any Python specific tags for PyYaml?

YAML tag Python type !!map dict Python-specific tags !!python/none None !!python/bool bool

How are directives used in a tag file?

Directives are used to control aspects of tag file translation to a tag handler, and to specify aspects of the tag, attributes of the tag, and variables exposed by the tag. Table 8–1lists the directives that you can use in tag files. Table 8–1 Tag File Directives Directive Description taglib

Can a translation unit contain more than one tagdirective?

As with the pagedirective, a translation unit can contain more than one instance of the tagdirective. All the attributes apply to the complete translation unit. However, there can be only one occurrence of any attribute or value defined by this directive in a given translation unit.

How to install PyYaml 5.1 from the source?

To install from source, download the source package PyYAML-5.1.tar.gz and unpack it. Go to the directory PyYAML-5.1 and run: If you want to use LibYAML bindings, which are much faster than the pure Python version, you need to download and install LibYAML.

Is there a completeyaml 1.1 parser for PyYaml?

a completeYAML 1.1parser. In particular, PyYAML can parse all examples from the specification. The parsing algorithm is simple enough to be a reference for YAML parser implementors. Unicode support including UTF-8/UTF-16 input/output and * low-level event-based parser and emitter API (like SAX).

Which is data serialization format does PyYaml use?

Overview. YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for the Python programming language.

YAML tag Python type !!map dict Python-specific tags !!python/none None !!python/bool bool

What kind of API do I need for PyYaml?

low-level event-based parser and emitter API (like SAX). high-level API for serializing and deserializing native Python objects (like DOM or pickle). support for all types from the YAML types repository. A simple extension API is provided. both pure-Python and fast LibYAML-based parsers and emitters. relatively sensible error messages.