Types

MarkovEmptyModelError = object of MarkovError
  

Throws if trying to generate with empty model Source   Edit  

MarkovError = object of CatchableError

Source   Edit  

MarkovGenerateOptions = object of RootObj
  attempts*: Positive
  begin*: Option[string]
  validator*: MarkovValidator

Options for generator. Source   Edit  

MarkovGeneratorModelType = enum
  mgtSimple, mgtWeighted

Type of model, which will be used in generator. mgtSimple - simple model, which will be generated with equal probability, i.e. model will be Table[string, seq[string]] mgtWeighted - weighted model, which will be generated with weighted probability, i.e. model will be Table[string, Table[string, int]] Source   Edit  

MarkovNotEnoughSamplesError = object of MarkovError
  

Throws if not found last word of beginning in model Source   Edit  

MarkovOutOfAttemptsError = object of MarkovError
  

Throws if generating is out of attempts Source   Edit  

MarkovProcessWordProc = proc (word: string): Option[string]

Process word, result string will be added to model, if you don't want to add word to model - return none string. Recommended to lower case always, which is default Source   Edit  

MarkovValidator = proc (str: string): bool

Validator for generator. If generated text doesn't satisfy the validator - it will try to generate a new string, if the number of attempts allows. Source   Edit