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mmath

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math library for metric sequences and binary arrays.

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mmath src mmath_trans.erl
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src/mmath_trans.erl 

%%%-------------------------------------------------------------------

%%% @author Heinz Nikolaus Gies <heinz@licenser.net>

%%% @copyright (C) 2014, Heinz Nikolaus Gies

%%% @doc

%%% Functions that transform metric.

%%% @end

%%% Created :  8 Jun 2014 by Heinz Nikolaus Gies <heinz@licenser.net>

%%%-------------------------------------------------------------------

-module(mmath_trans).



-export([

         derivate/1,

         confidence/1,

         mul/2,

         divide/2]).



-include("mmath.hrl").



-define(APPNAME, mmath).

-define(LIBNAME, trans_nif).

-on_load(load_nif/0).

load_nif() ->

    SoName = case code:priv_dir(?APPNAME) of

                 {error, bad_name} ->

                     case filelib:is_dir(filename:join(["..", priv])) of

                         true ->

                             filename:join(["..", priv, ?LIBNAME]);

                         _ ->

                             filename:join([priv, ?LIBNAME])

                     end;

                 Dir ->

                     filename:join(Dir, ?LIBNAME)

             end,

    erlang:load_nif(SoName, 0).



%%--------------------------------------------------------------------

%% @doc

%% Multiplies each value in the binary with the provided integer.

%% @end

%%--------------------------------------------------------------------

-spec mul(binary(), pos_integer()) -> binary().

mul(_M, _D) ->

    erlang:nif_error(nif_library_not_loaded).



%%--------------------------------------------------------------------

%% @doc

%% Divides each value in the binary with the provided integer.

%% @end

%%--------------------------------------------------------------------

-spec divide(binary(), pos_integer()) -> binary().

divide(_M, _D) ->

    erlang:nif_error(nif_library_not_loaded).



%%--------------------------------------------------------------------

%% @doc

%% Calculates the derivate of the values, this means the first value

%% is dropped (or taken as the initial value) with each following

%% value being calculated by derivate(n) = value(n) - value(n-1).

%%

%% The resulting binary will be one ellement shorter!

%% @end

%%--------------------------------------------------------------------

-spec derivate(binary()) -> binary().

derivate(_) ->

    erlang:nif_error(nif_library_not_loaded).



%%--------------------------------------------------------------------

%% @doc

%% Transforms the series into the confidence score for each value.

%% Unset values have a confidence of 0% while set values have a

%% confidence of 100%. Aggregated values have the aggreated confidence

%% score.

%% @end

%%--------------------------------------------------------------------

-spec confidence(binary()) -> binary().

confidence(_) ->

    erlang:nif_error(nif_library_not_loaded).