Class

com.nvidia.spark.rapids

RegexParser

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class RegexParser extends AnyRef

Regular expression parser based on a Pratt Parser design.

The goal of this parser is to build a minimal AST that allows us to validate that we can support the expression on the GPU. The goal is not to parse with the level of detail that would be required if we were building an evaluation engine. For example, operator precedence is largely ignored but could be added if we need it later.

The Java and cuDF regular expression documentation has been used as a reference:

Java regex: https://docs.oracle.com/javase/7/docs/api/java/util/regex/Pattern.html cuDF regex: https://docs.rapids.ai/api/libcudf/stable/md_regex.html

The following blog posts provide some background on Pratt Parsers and parsing regex.

- https://journal.stuffwithstuff.com/2011/03/19/pratt-parsers-expression-parsing-made-easy/ - https://matt.might.net/articles/parsing-regex-with-recursive-descent/

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  1. new RegexParser(pattern: String)

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  8. def finalize(): Unit

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def parse(): RegexAST

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  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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