elynx-markov-0.7.0.1: src/ELynx/Import/MarkovProcess/EDMModelPhylobayes.hs
{-# LANGUAGE OverloadedStrings #-}
-- |
-- Module : ELynx.Import.MarkovProcess.EDMModelPhylobayes
-- Description : Import stationary distributions from Phylobayes format
-- Copyright : 2021 Dominik Schrempf
-- License : GPL-3.0-or-later
--
-- Maintainer : dominik.schrempf@gmail.com
-- Stability : unstable
-- Portability : portable
--
-- Creation date: Tue Jan 29 12:12:55 2019.
module ELynx.Import.MarkovProcess.EDMModelPhylobayes
( EDMComponent,
phylobayes,
)
where
import Control.Applicative
import Control.Monad
import qualified Data.Attoparsec.ByteString as AS
import qualified Data.Attoparsec.ByteString.Char8 as AC
import qualified Data.ByteString.Lazy.Char8 as BL
import qualified Data.Vector.Storable as V
import ELynx.MarkovProcess.MixtureModel
-- | An empirical mixture model component has a weight and a stationary
-- distribution.
type EDMComponent = (Weight, V.Vector Double)
-- | Parse stationary distributions from Phylobayes format.
phylobayes :: AS.Parser [EDMComponent]
phylobayes = (AS.<?> "phylobayes") $ do
n <- headerLine
k <- kComponentsLine
cs <- AS.count k $ dataLine n
_ <- AC.skipWhile AC.isSpace
_ <- AS.endOfInput
return cs
headerLine :: AS.Parser Int
headerLine = do
n <- AC.decimal
_ <- AS.skipWhile AC.isHorizontalSpace
-- XXX: This should be more general, but then we also want to ensure that the
-- order of states is correct.
_ <-
AS.string (BL.toStrict "A C D E F G H I K L M N P Q R S T V W Y")
<|> AS.string (BL.toStrict "A C G T")
_ <- AC.skipWhile AC.isSpace AS.<?> "headerLine"
return n
kComponentsLine :: AS.Parser Int
kComponentsLine = AC.decimal <* AC.skipWhile AC.isSpace AS.<?> "kComponentsLine"
dataLine :: Int -> AS.Parser EDMComponent
dataLine n = (AS.<?> "dataLine") $ do
wght <- AC.double
_ <- AS.skipWhile AC.isHorizontalSpace
vals <- AC.double `AC.sepBy1` AS.skipWhile AC.isHorizontalSpace
_ <- AC.skipWhile AC.isSpace
when (length vals /= n) (error "Did not find correct number of entries.")
return (wght, V.fromList vals)