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1. awaitJust :: forall (m :: Type -> Type) src i . (Monad m, HasError m) => String -> ParserT m src i i

   hpp	Hpp.Parser

   await that throws an error with the given message if no more input is available. This may be used to locate where in a processing pipeline input was unexpectedly exhausted.

2. boolJust :: Bool -> Maybe ()

   hpp	Hpp.StringSig

   No documentation available.

3. predicateJust :: (a -> Bool) -> a -> Maybe a

   hpp	Hpp.StringSig

   No documentation available.

4. AlignJustify :: Align

   hyperbole	Web.Hyperbole

   No documentation available.

5. AlignJustify :: Align

   hyperbole	Web.Hyperbole.View

   No documentation available.

6. fromJust :: Maybe a <-> a

   invertible	Data.Invertible.Maybe

   Convert between Just and its value.

7. isJust :: Maybe () <-> Bool

   invertible	Data.Invertible.Maybe

   Convert between 'Just ()' and True (see isJust).

8. adjust :: Ord k => (v -> v) -> Key ph k -> Map ph k v -> Map ph k v

   justified-containers	Data.Map.Justified

   Adjust the valid at a key, known to be in the map, using the given function. Since the set of valid keys in the input map and output map are the same, keys that were valid for the input map remain valid for the output map.

9. adjustWithKey :: Ord k => (Key ph k -> v -> v) -> Key ph k -> Map ph k v -> Map ph k v

   justified-containers	Data.Map.Justified

   Adjust the valid at a key, known to be in the map, using the given function. Since the set of valid keys in the input map and output map are the same, keys that were valid for the input map remain valid for the output map.

10. adjustingOutputHeaders :: (Header -> Header) -> Iso' (Csv' Name) (Csv' Name)

    lens-csv	Data.Csv.Lens

    Allows rewritingaddingremoving headers on the CSV both before serializing Note that rewriting a header name DOES NOT affect any of the records, it only affects the choice and order of the columns in the output CSV. If you want to rename a column header you must also rename the name of that field on all rows in the csv. This is a limitation of cassava itself. Examples: Drop the first column:

    >>> BL.lines (myCsv & namedCsv . adjustingOutputHeaders (view _tail) %~ id)
    ["population\r","19540000\r","39560000\r"]
    

    Add a new column with the population in millions

    >>> import Data.Char (toLower)
    
    >>> addStateLower m = M.insert "state_lower" (m ^. ix "state_code" . to (map toLower)) m
    
    >>> :{
    BL.lines (myCsv
    & namedCsv
    -- Add "state_lower" to output headers so it will be serialized
    . adjustingOutputHeaders (<> pure "state_lower")
    . rows
    . _NamedRecord @(M.Map String String)
    -- Add "state_lower" to each record
    %~ addStateLower
    )
    :}
    ["state_code,population,state_lower\r","NY,19540000,ny\r","CA,39560000,ca\r"]
    

    Reverse column order >>> BL.lines (myCsv & namedCsv . adjustingOutputHeaders (view reversed) %~ id) ["population,state_coder","19540000,NYr","39560000,CAr"]

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