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Wikipedia:List dos and don'ts – information page summarizing the key points in this guideline. Wikipedia:Manual of Style/Disambiguation pages – disambiguation pages are lists of homographs —a word or a group of words that share the same written form but have different meanings—with their own page rules and layouts.
There are several ways to force line breaks and paragraph breaks in the text. The simplest method is by inserting newlines; for example: Markup. Renders as. A single newline in the markup. does not cause a visible line break. A single newline in the markup does not cause a visible line break. Two newlines in the markup.
Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java ...
On Wikipedia, a glossary is a special kind of list. Each glossary is an alphabetically arranged list of a subject's terms, with definitions. Each term is followed by one or more explanatory (encyclopedia-style) definitions. (For example, see Glossary of architecture). In order to explain jargon for Wikipedia's broad audience, each of its ...
However, single line breaks in the source do have certain effects: Within a list, a single line break starts either the next item or a new paragraph; within an indentation (which, if marked up with leading colons, is really the definition part of a definition list), a single line break aborts the indentation and starts a new paragraph.
Set-builder notation can be used to describe a set that is defined by a predicate, that is, a logical formula that evaluates to true for an element of the set, and false otherwise. [3] In this form, set-builder notation has three parts: a variable, a colon or vertical bar separator, and a predicate. Thus there is a variable on the left of the ...
Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability -based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.
A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data. In such situations, all or part of the data ...