Mustard alternatives and similar libraries
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Mustard is a Swift library for tokenizing strings when splitting by whitespace doesn't cut it.
Quick start using character sets
Foundation includes the
components(separatedBy:) that allows us to get substrings divided up by certain characters:
let sentence = "hello 2017 year" let words = sentence.components(separatedBy: .whitespaces) // words.count -> 3 // words = ["hello", "2017", "year"]
Mustard provides a similar feature, but with the opposite approach, where instead of matching by separators you can match by one or more character sets, which is useful if separators simply don't exist:
import Mustard let sentence = "hello2017year" let words = sentence.components(matchedWith: .letters, .decimalDigits) // words.count -> 3 // words = ["hello", "2017", "year"]
If you want more than just the substrings, you can use the
tokens(matchedWith: CharacterSet...) method which will return an array of
As a minimum,
TokenType requires properties for text (the substring matched), and range (the range of the substring in the original string). When using CharacterSets as a tokenizer, the more specific type
CharacterSetToken is returned, which includes the property
set which contains the instance of CharacterSet that was used to create the match.
import Mustard let tokens = "123Hello world&^45.67".tokens(matchedWith: .decimalDigits, .letters) // tokens: [CharacterSet.Token] // tokens.count -> 5 (characters '&', '^', and '.' are ignored) // // second token.. // token.text -> "Hello" // token.range -> Range<String.Index>(3..<8) // token.set -> CharacterSet.letters // // last token.. // tokens.text -> "67" // tokens.range -> Range<String.Index>(19..<21) // tokens.set -> CharacterSet.decimalDigits
Advanced matching with custom tokenizers
Mustard can do more than match from character sets. You can create your own tokenizers with more
sophisticated matching behavior by implementing the
Here's an example of using
DateTokenizer ([see example for implementation](Documentation/Template%20tokenizer.md)) that finds substrings that match a
DateTokenizer returns tokens with the type
DateToken. Along with the substring text and range,
DateToken includes a
Date object corresponding to the date in the substring:
import Mustard let text = "Serial: #YF 1942-b 12/01/17 (Scanned) 12/03/17 (Arrived) ref: 99/99/99" let tokens = text.tokens(matchedWith: DateTokenizer()) // tokens: [DateTokenizer.Token] // tokens.count -> 2 // ('99/99/99' is *not* matched by `DateTokenizer` because it's not a valid date) // // first date // tokens.text -> "12/01/17" // tokens.date -> Date(2017-12-01 05:00:00 +0000) // // last date // tokens.text -> "12/03/17" // tokens.date -> Date(2017-12-03 05:00:00 +0000)
Documentation & Examples
- [Greedy tokens and tokenizer order](Documentation/Greedy%20tokens%20and%20tokenizer%20order.md)
- [Token types and AnyToken](Documentation/Token%20types%20and%20AnyToken.md)
- [TokenizerType: implementing your own tokenizer](Documentation/TokenizerType%20protocol.md)
- [EmojiTokenizer: matching emoji substrings](Documentation/Matching%20emoji.md)
- [LiteralTokenizer: matching specific substrings](Documentation/Literal%20tokenizer.md)
- [DateTokenizer: tokenizer based on template match](Documentation/Template%20tokenizer.md)
- [Alternatives to using Mustard](Documentation/Alternatives%20to%20using%20Mustard.md)
- [Performance comparisons](Documentation/Performance%20Comparisons.md)
- [x] Include detailed examples and documentation
- [x] Ability to skip/ignore characters within match
- [x] Include more advanced pattern matching for matching tokens
- [x] Make project logo 🌭
- [x] Performance testing / benchmarking against Scanner
- [ ] Include interface for working with Character tokenizers
- Swift 4.1
Made with :heart: by @permakittens
Feedback, or contributions for bug fixing or improvements are welcome. Feel free to submit a pull request or open an issue.
*Note that all licence references and agreements mentioned in the Mustard README section above are relevant to that project's source code only.