-module(viva_math@common).
-compile([no_auto_import, nowarn_unused_vars, nowarn_unused_function, nowarn_nomatch, inline]).
-define(FILEPATH, "src/viva_math/common.gleam").
-export([clamp/3, clamp_unit/1, clamp_bipolar/1, lerp/3, inverse_lerp/3, sigmoid/2, sigmoid_standard/1, softmax/1, safe_div/3, smoothstep/3, exponential_decay/3, inverse_decay/3, inverse_sqrt_decay/3, deterministic_noise/2, wiener_increment/3]).

-if(?OTP_RELEASE >= 27).
-define(MODULEDOC(Str), -moduledoc(Str)).
-define(DOC(Str), -doc(Str)).
-else.
-define(MODULEDOC(Str), -compile([])).
-define(DOC(Str), -compile([])).
-endif.

?MODULEDOC(
    " Common mathematical utilities for VIVA.\n"
    "\n"
    " Functions not found in gleam_community_maths:\n"
    " - clamp, lerp, sigmoid, softmax, safe_div\n"
).

-file("src/viva_math/common.gleam", 19).
?DOC(
    " Clamp a value to a range [min, max].\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " clamp(5.0, 0.0, 10.0)  // -> 5.0\n"
    " clamp(-1.0, 0.0, 10.0) // -> 0.0\n"
    " clamp(15.0, 0.0, 10.0) // -> 10.0\n"
    " ```\n"
).
-spec clamp(float(), float(), float()) -> float().
clamp(Value, Min, Max) ->
    _pipe = Value,
    _pipe@1 = gleam@float:max(_pipe, Min),
    gleam@float:min(_pipe@1, Max).

-file("src/viva_math/common.gleam", 34).
?DOC(
    " Clamp a value to the unit interval [0, 1].\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " clamp_unit(0.5)  // -> 0.5\n"
    " clamp_unit(-0.5) // -> 0.0\n"
    " clamp_unit(1.5)  // -> 1.0\n"
    " ```\n"
).
-spec clamp_unit(float()) -> float().
clamp_unit(Value) ->
    clamp(Value, +0.0, 1.0).

-file("src/viva_math/common.gleam", 48).
?DOC(
    " Clamp a value to the bipolar interval [-1, 1].\n"
    " Used for PAD dimensions.\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " clamp_bipolar(0.5)   // -> 0.5\n"
    " clamp_bipolar(-1.5)  // -> -1.0\n"
    " clamp_bipolar(1.5)   // -> 1.0\n"
    " ```\n"
).
-spec clamp_bipolar(float()) -> float().
clamp_bipolar(Value) ->
    clamp(Value, -1.0, 1.0).

-file("src/viva_math/common.gleam", 64).
?DOC(
    " Linear interpolation between two values.\n"
    "\n"
    " lerp(a, b, 0.0) = a\n"
    " lerp(a, b, 1.0) = b\n"
    " lerp(a, b, 0.5) = (a + b) / 2\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " lerp(0.0, 10.0, 0.5)  // -> 5.0\n"
    " lerp(0.0, 10.0, 0.25) // -> 2.5\n"
    " ```\n"
).
-spec lerp(float(), float(), float()) -> float().
lerp(A, B, T) ->
    A + (T * (B - A)).

-file("src/viva_math/common.gleam", 77).
?DOC(
    " Inverse linear interpolation - find t given value in range [a, b].\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " inverse_lerp(0.0, 10.0, 5.0)  // -> Ok(0.5)\n"
    " inverse_lerp(0.0, 10.0, 2.5)  // -> Ok(0.25)\n"
    " inverse_lerp(0.0, 0.0, 5.0)   // -> Error(Nil) (division by zero)\n"
    " ```\n"
).
-spec inverse_lerp(float(), float(), float()) -> {ok, float()} | {error, nil}.
inverse_lerp(A, B, Value) ->
    Range = B - A,
    case Range =:= +0.0 of
        true ->
            {error, nil};

        false ->
            {ok, case Range of
                    +0.0 -> +0.0;
                    -0.0 -> -0.0;
                    Gleam@denominator -> (Value - A) / Gleam@denominator
                end}
    end.

-file("src/viva_math/common.gleam", 97).
?DOC(
    " Sigmoid function: 1 / (1 + exp(-k * x))\n"
    "\n"
    " Maps any real number to (0, 1).\n"
    " k controls steepness (k=1 is standard sigmoid).\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " sigmoid(0.0, 1.0)   // -> 0.5\n"
    " sigmoid(100.0, 1.0) // -> ~1.0\n"
    " sigmoid(-100.0, 1.0) // -> ~0.0\n"
    " ```\n"
).
-spec sigmoid(float(), float()) -> float().
sigmoid(X, K) ->
    Neg_kx = +0.0 - (K * X),
    case (1.0 + gleam_community@maths:exponential(Neg_kx)) of
        +0.0 -> +0.0;
        -0.0 -> -0.0;
        Gleam@denominator -> 1.0 / Gleam@denominator
    end.

-file("src/viva_math/common.gleam", 103).
?DOC(" Standard sigmoid with k=1.\n").
-spec sigmoid_standard(float()) -> float().
sigmoid_standard(X) ->
    sigmoid(X, 1.0).

-file("src/viva_math/common.gleam", 118).
?DOC(
    " Softmax function: converts a list of values to probabilities.\n"
    "\n"
    " softmax([x1, x2, ...]) = [exp(x1)/sum, exp(x2)/sum, ...]\n"
    " where sum = exp(x1) + exp(x2) + ...\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " softmax([1.0, 2.0, 3.0])  // -> [0.09, 0.24, 0.67] (approx)\n"
    " softmax([0.0, 0.0])        // -> [0.5, 0.5]\n"
    " ```\n"
).
-spec softmax(list(float())) -> {ok, list(float())} | {error, nil}.
softmax(Values) ->
    case Values of
        [] ->
            {error, nil};

        _ ->
            Max_val = gleam@list:fold(Values, +0.0, fun gleam@float:max/2),
            Exps = gleam@list:map(
                Values,
                fun(X) -> gleam_community@maths:exponential(X - Max_val) end
            ),
            Sum = gleam@list:fold(Exps, +0.0, fun(Acc, X@1) -> Acc + X@1 end),
            case Sum =:= +0.0 of
                true ->
                    {error, nil};

                false ->
                    {ok, gleam@list:map(Exps, fun(X@2) -> case Sum of
                                    +0.0 -> +0.0;
                                    -0.0 -> -0.0;
                                    Gleam@denominator -> X@2 / Gleam@denominator
                                end end)}
            end
    end.

-file("src/viva_math/common.gleam", 147).
?DOC(
    " Safe division with default value on division by zero.\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " safe_div(10.0, 2.0, 0.0)  // -> 5.0\n"
    " safe_div(10.0, 0.0, -1.0) // -> -1.0\n"
    " ```\n"
).
-spec safe_div(float(), float(), float()) -> float().
safe_div(A, B, Default) ->
    case B =:= +0.0 of
        true ->
            Default;

        false ->
            case B of
                +0.0 -> +0.0;
                -0.0 -> -0.0;
                Gleam@denominator -> A / Gleam@denominator
            end
    end.

-file("src/viva_math/common.gleam", 164).
?DOC(
    " Smooth step function (Hermite interpolation).\n"
    " Returns 0 if x < edge0, 1 if x > edge1, smooth transition otherwise.\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " smoothstep(0.0, 1.0, 0.5)  // -> 0.5 (roughly)\n"
    " smoothstep(0.0, 1.0, 0.0)  // -> 0.0\n"
    " smoothstep(0.0, 1.0, 1.0)  // -> 1.0\n"
    " ```\n"
).
-spec smoothstep(float(), float(), float()) -> float().
smoothstep(Edge0, Edge1, X) ->
    T = clamp_unit(case (Edge1 - Edge0) of
            +0.0 -> +0.0;
            -0.0 -> -0.0;
            Gleam@denominator -> (X - Edge0) / Gleam@denominator
        end),
    (T * T) * (3.0 - (2.0 * T)).

-file("src/viva_math/common.gleam", 177).
?DOC(
    " Exponential decay: value * exp(-rate * time)\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " exponential_decay(1.0, 0.5, 1.0)  // -> ~0.606\n"
    " exponential_decay(1.0, 0.0, 10.0) // -> 1.0 (no decay)\n"
    " ```\n"
).
-spec exponential_decay(float(), float(), float()) -> float().
exponential_decay(Value, Rate, Time) ->
    Neg_rt = +0.0 - (Rate * Time),
    Value * gleam_community@maths:exponential(Neg_rt).

-file("src/viva_math/common.gleam", 237).
?DOC(
    " Inverse decay rate (pattern from viva_glyph/association.gleam).\n"
    " η(t) = η₀ / (1 + t/τ)\n"
    "\n"
    " Used for learning rate decay, consolidation, etc.\n"
).
-spec inverse_decay(float(), float(), float()) -> float().
inverse_decay(Base_rate, T, Tau) ->
    case Tau =< +0.0 of
        true ->
            Base_rate;

        false ->
            case (1.0 + (case Tau of
                +0.0 -> +0.0;
                -0.0 -> -0.0;
                Gleam@denominator -> T / Gleam@denominator
            end)) of
                +0.0 -> +0.0;
                -0.0 -> -0.0;
                Gleam@denominator@1 -> Base_rate / Gleam@denominator@1
            end
    end.

-file("src/viva_math/common.gleam", 246).
?DOC(
    " Inverse square root decay.\n"
    " η(t) = η₀ / √(1 + t/τ)\n"
).
-spec inverse_sqrt_decay(float(), float(), float()) -> float().
inverse_sqrt_decay(Base_rate, T, Tau) ->
    case Tau =< +0.0 of
        true ->
            Base_rate;

        false ->
            case gleam_community@maths:nth_root(1.0 + (case Tau of
                    +0.0 -> +0.0;
                    -0.0 -> -0.0;
                    Gleam@denominator -> T / Gleam@denominator
                end), 2) of
                {ok, Sqrt_val} ->
                    case Sqrt_val of
                        +0.0 -> +0.0;
                        -0.0 -> -0.0;
                        Gleam@denominator@1 -> Base_rate / Gleam@denominator@1
                    end;

                {error, _} ->
                    Base_rate
            end
    end.

-file("src/viva_math/common.gleam", 259).
-spec int_to_float(integer()) -> float().
int_to_float(N) ->
    case N of
        0 ->
            +0.0;

        1 ->
            1.0;

        _ ->
            case N < 0 of
                true ->
                    +0.0 - int_to_float(0 - N);

                false ->
                    Half = N div 2,
                    Remainder = N - (Half * 2),
                    (int_to_float(Half) * 2.0) + int_to_float(Remainder)
            end
    end.

-file("src/viva_math/common.gleam", 204).
?DOC(
    " Deterministic pseudo-random noise generator.\n"
    " Uses hash-based seeding for reproducibility (no external RNG needed).\n"
    "\n"
    " Returns value in [-1, 1] range.\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " deterministic_noise(0, 42)  // -> some value in [-1, 1]\n"
    " deterministic_noise(0, 42)  // -> same value (deterministic)\n"
    " ```\n"
).
-spec deterministic_noise(integer(), integer()) -> float().
deterministic_noise(Step, Seed) ->
    Hash = (((Step * 31) + (Seed * 17)) + 7919) rem 1000,
    (int_to_float(Hash) - 500.0) / 500.0.

-file("src/viva_math/common.gleam", 225).
?DOC(
    " Generate Wiener process increment (discrete approximation).\n"
    " dW ≈ √dt × N(0,1) where N is approximated by deterministic noise.\n"
    "\n"
    " Used for stochastic differential equations.\n"
    "\n"
    " ## Parameters\n"
    " - step: Current time step (for determinism)\n"
    " - seed: Random seed\n"
    " - dt: Time step size\n"
    "\n"
    " ## Examples\n"
    "\n"
    " ```gleam\n"
    " wiener_increment(0, 42, 0.01)  // -> small noise scaled by √dt\n"
    " ```\n"
).
-spec wiener_increment(integer(), integer(), float()) -> float().
wiener_increment(Step, Seed, Dt) ->
    Noise = deterministic_noise(Step, Seed),
    case gleam_community@maths:nth_root(Dt, 2) of
        {ok, Sqrt_dt} ->
            Noise * Sqrt_dt;

        {error, _} ->
            +0.0
    end.