content: {-# LANGUAGE BangPatterns, DeriveDataTypeable, FlexibleInstances, MultiParamTypeClasses #-}
  module MachineLearning.Protobufs.Algorithm (Algorithm(..)) where
  import Prelude ((+), (/), (.))
  import qualified Prelude as Prelude'
  import qualified Data.Typeable as Prelude'
  import qualified Data.Data as Prelude'
  import qualified Text.ProtocolBuffers.Header as P'
   
  data Algorithm = BOOSTING
                 | RANDOM_FOREST
                 deriving (Prelude'.Read, Prelude'.Show, Prelude'.Eq, Prelude'.Ord, Prelude'.Typeable, Prelude'.Data)
   
  instance P'.Mergeable Algorithm
   
  instance Prelude'.Bounded Algorithm where
    minBound = BOOSTING
    maxBound = RANDOM_FOREST
   
  instance P'.Default Algorithm where
    defaultValue = BOOSTING
   
  toMaybe'Enum :: Prelude'.Int -> P'.Maybe Algorithm
  toMaybe'Enum 1 = Prelude'.Just BOOSTING
  toMaybe'Enum 2 = Prelude'.Just RANDOM_FOREST
  toMaybe'Enum _ = Prelude'.Nothing
   
  instance Prelude'.Enum Algorithm where
    fromEnum BOOSTING = 1
    fromEnum RANDOM_FOREST = 2
    toEnum
     = P'.fromMaybe (Prelude'.error "hprotoc generated code: toEnum failure for type MachineLearning.Protobufs.Algorithm") .
        toMaybe'Enum
    succ BOOSTING = RANDOM_FOREST
    succ _ = Prelude'.error "hprotoc generated code: succ failure for type MachineLearning.Protobufs.Algorithm"
    pred RANDOM_FOREST = BOOSTING
    pred _ = Prelude'.error "hprotoc generated code: pred failure for type MachineLearning.Protobufs.Algorithm"
   
  instance P'.Wire Algorithm where
    wireSize ft' enum = P'.wireSize ft' (Prelude'.fromEnum enum)
    wirePut ft' enum = P'.wirePut ft' (Prelude'.fromEnum enum)
    wireGet 14 = P'.wireGetEnum toMaybe'Enum
    wireGet ft' = P'.wireGetErr ft'
    wireGetPacked 14 = P'.wireGetPackedEnum toMaybe'Enum
    wireGetPacked ft' = P'.wireGetErr ft'
   
  instance P'.GPB Algorithm
   
  instance P'.MessageAPI msg' (msg' -> Algorithm) Algorithm where
    getVal m' f' = f' m'
   
  instance P'.ReflectEnum Algorithm where
    reflectEnum = [(1, "BOOSTING", BOOSTING), (2, "RANDOM_FOREST", RANDOM_FOREST)]
    reflectEnumInfo _
     = P'.EnumInfo (P'.makePNF (P'.pack ".protobufs.Algorithm") ["MachineLearning"] ["Protobufs"] "Algorithm")
        ["MachineLearning", "Protobufs", "Algorithm.hs"]
        [(1, "BOOSTING"), (2, "RANDOM_FOREST")]