Introduction to lexical analyzer

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introduction to lexical analysis (scanning) with code example

lexical analysis, often called scanning or tokenization, is the first phase of a compiler. its primary role is to read the source code as a stream of characters and convert it into a stream of tokens. these tokens are the basic building blocks of the programming language. think of it like breaking down a sentence into individual words and identifying their type (noun, verb, etc.).

**why is lexical analysis important?**

* **simplifies parsing:** by grouping characters into meaningful tokens, the parser (the next phase of the compiler) can work with a higher-level abstraction, making its job significantly easier. instead of dealing with individual characters, the parser deals with identifiers, keywords, operators, etc.
* **removes irrelevant information:** the lexical analyzer typically removes whitespace, comments, and other irrelevant characters from the source code, making subsequent phases more efficient.
* **error detection:** the lexical analyzer can detect certain lexical errors, such as invalid characters or improperly formed identifiers, early in the compilation process.
* **source code abstraction:** it provides a layer of abstraction between the character-level representation of the source code and the higher-level syntactic structure.
* **improved code maintainability:** by isolating the code responsible for recognizing basic language elements, it makes the compiler code easier to understand and maintain.

**key concepts in lexical analysis:**

1. **tokens:** tokens are the fundamental building blocks identified by the lexical analyzer. each token represents a logically cohesive unit of the source code. examples include:
* `identifier`: variable names, function names (e.g., `x`, `myvariable`, `calculatesum`)
* `integer_literal`: integer numbers (e.g., `123`, `0`, `-456`)
* `float_literal`: floating-point numbers (e.g., `3.14`, `-0.5`, `1.0e-6`)
* `string_litera ...

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tokenization
syntax analysis
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regular expressions
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