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Initial implementation of delegatinglexer
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src/lexer.cr
57
src/lexer.cr
@ -42,7 +42,7 @@ module Tartrazine
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struct Tokenizer
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include Iterator(Token)
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property lexer : Lexer
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property lexer : BaseLexer
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property text : Bytes
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property pos : Int32 = 0
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@dq = Deque(Token).new
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@ -106,13 +106,16 @@ module Tartrazine
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end
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end
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abstract struct BaseLexer
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end
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# This implements a lexer for Pygments RegexLexers as expressed
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# in Chroma's XML serialization.
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#
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# For explanations on what actions and states do
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# the Pygments documentation is a good place to start.
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# https://pygments.org/docs/lexerdevelopment/
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struct Lexer
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struct Lexer < BaseLexer
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property config = {
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name: "",
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priority: 0.0,
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@ -204,6 +207,56 @@ module Tartrazine
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end
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end
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# A lexer that takes two lexers as arguments. A root lexer
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# and a language lexer. Everything is scalled using the
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# language lexer, afterwards all `Other` tokens are lexed
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# using the root lexer.
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#
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# This is useful for things like template languages, where
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# you have Jinja + HTML or Jinja + CSS and so on.
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struct DelegatingLexer < BaseLexer
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property root_lexer : Lexer
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property language_lexer : Lexer
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def initialize(@lexer : Lexer, @delegate : Lexer)
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end
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end
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# This Tokenizer works with a DelegatingLexer. It first tokenizes
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# using the language lexer, and "Other" tokens are tokenized using
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# the root lexer.
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struct DelegatingTokenizer
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include Iterator(Token)
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@dq = Deque(Token).new
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def initialize(@lexer : Lexer, text : String, secondary = false)
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# Respect the `ensure_nl` config option
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if text.size > 0 && text[-1] != '\n' && @lexer.config[:ensure_nl] && !secondary
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text += "\n"
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end
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@language_tokenizer = Tokenizer.new(@lexer.language_lexer, text, true)
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end
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def next : Iterator::Stop | Token
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if @dq.size > 0
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return @dq.shift
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end
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token = @language_tokenizer.next
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if token == Iterator::Stop
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return stop
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end
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if token[:type] == "Other"
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@root_tokenizer = Tokenizer.new(@lexer.root_lexer, token[:value], true)
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@root_tokenizer.each do |root_token|
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@dq << root_token
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end
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else
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dq << token
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end
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self.next
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end
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end
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# A Lexer state. A state has a name and a list of rules.
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# The state machine has a state stack containing references
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# to states to decide which rules to apply.
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