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src/mochinum.erl

%% @copyright 2007 Mochi Media, Inc.
%% @author Bob Ippolito <bob@mochimedia.com>
%% This module was extracted from `https://github.com/mochi/mochiweb/blob/master/src/mochinum.erl`
%% and is under the MIT license as described below.
%% This is the MIT license.
%%
%% Copyright (c) 2007 Mochi Media, Inc.
%%
%% Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
%%
%% The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
%%
%% THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
%% @doc Useful numeric algorithms for floats that cover some deficiencies
%% in the math module. More interesting is digits/1, which implements
%% the algorithm from:
%% http://www.cs.indiana.edu/~burger/fp/index.html
%% See also "Printing Floating-Point Numbers Quickly and Accurately"
%% in Proceedings of the SIGPLAN '96 Conference on Programming Language
%% Design and Implementation.
-module(mochinum).
-author("Bob Ippolito <bob@mochimedia.com>").
-export([digits/1, frexp/1, int_pow/2, int_ceil/1]).
%% IEEE 754 Float exponent bias
-define(FLOAT_BIAS, 1022).
-define(MIN_EXP, -1074).
-define(BIG_POW, 4503599627370496).
%% External API
%% @spec digits(number()) -> string()
%% @doc Returns a string that accurately represents the given integer or float
%% using a conservative amount of digits. Great for generating
%% human-readable output, or compact ASCII serializations for floats.
digits(N) when is_integer(N) ->
integer_to_list(N);
digits(0.0) ->
"0.0";
digits(Float) ->
{Frac1, Exp1} = frexp_int(Float),
[Place0 | Digits0] = digits1(Float, Exp1, Frac1),
{Place, Digits} = transform_digits(Place0, Digits0),
R = insert_decimal(Place, Digits),
case Float < 0 of
true ->
[$- | R];
_ ->
R
end.
%% @spec frexp(F::float()) -> {Frac::float(), Exp::float()}
%% @doc Return the fractional and exponent part of an IEEE 754 double,
%% equivalent to the libc function of the same name.
%% F = Frac * pow(2, Exp).
frexp(F) ->
frexp1(unpack(F)).
%% @spec int_pow(X::integer(), N::integer()) -> Y::integer()
%% @doc Moderately efficient way to exponentiate integers.
%% int_pow(10, 2) = 100.
int_pow(_X, 0) ->
1;
int_pow(X, N) when N > 0 ->
int_pow(X, N, 1).
%% @spec int_ceil(F::float()) -> integer()
%% @doc Return the ceiling of F as an integer. The ceiling is defined as
%% F when F == trunc(F);
%% trunc(F) when F &lt; 0;
%% trunc(F) + 1 when F &gt; 0.
int_ceil(X) ->
T = trunc(X),
case (X - T) of
Pos when Pos > 0 -> T + 1;
_ -> T
end.
%% Internal API
int_pow(X, N, R) when N < 2 ->
R * X;
int_pow(X, N, R) ->
int_pow(X * X, N bsr 1, case N band 1 of 1 -> R * X; 0 -> R end).
insert_decimal(0, S) ->
"0." ++ S;
insert_decimal(Place, S) when Place > 0 ->
L = length(S),
case Place - L of
0 ->
S ++ ".0";
N when N < 0 ->
{S0, S1} = lists:split(L + N, S),
S0 ++ "." ++ S1;
N when N < 6 ->
%% More places than digits
S ++ lists:duplicate(N, $0) ++ ".0";
_ ->
insert_decimal_exp(Place, S)
end;
insert_decimal(Place, S) when Place > -6 ->
"0." ++ lists:duplicate(abs(Place), $0) ++ S;
insert_decimal(Place, S) ->
insert_decimal_exp(Place, S).
insert_decimal_exp(Place, S) ->
[C | S0] = S,
S1 = case S0 of
[] ->
"0";
_ ->
S0
end,
Exp = case Place < 0 of
true ->
"e-";
false ->
"e+"
end,
[C] ++ "." ++ S1 ++ Exp ++ integer_to_list(abs(Place - 1)).
digits1(Float, Exp, Frac) ->
Round = ((Frac band 1) =:= 0),
case Exp >= 0 of
true ->
BExp = 1 bsl Exp,
case (Frac =/= ?BIG_POW) of
true ->
scale((Frac * BExp * 2), 2, BExp, BExp,
Round, Round, Float);
false ->
scale((Frac * BExp * 4), 4, (BExp * 2), BExp,
Round, Round, Float)
end;
false ->
case (Exp =:= ?MIN_EXP) orelse (Frac =/= ?BIG_POW) of
true ->
scale((Frac * 2), 1 bsl (1 - Exp), 1, 1,
Round, Round, Float);
false ->
scale((Frac * 4), 1 bsl (2 - Exp), 2, 1,
Round, Round, Float)
end
end.
scale(R, S, MPlus, MMinus, LowOk, HighOk, Float) ->
Est = int_ceil(math:log10(abs(Float)) - 1.0e-10),
%% Note that the scheme implementation uses a 326 element look-up table
%% for int_pow(10, N) where we do not.
case Est >= 0 of
true ->
fixup(R, S * int_pow(10, Est), MPlus, MMinus, Est,
LowOk, HighOk);
false ->
Scale = int_pow(10, -Est),
fixup(R * Scale, S, MPlus * Scale, MMinus * Scale, Est,
LowOk, HighOk)
end.
fixup(R, S, MPlus, MMinus, K, LowOk, HighOk) ->
TooLow = case HighOk of
true ->
(R + MPlus) >= S;
false ->
(R + MPlus) > S
end,
case TooLow of
true ->
[(K + 1) | generate(R, S, MPlus, MMinus, LowOk, HighOk)];
false ->
[K | generate(R * 10, S, MPlus * 10, MMinus * 10, LowOk, HighOk)]
end.
generate(R0, S, MPlus, MMinus, LowOk, HighOk) ->
D = R0 div S,
R = R0 rem S,
TC1 = case LowOk of
true ->
R =< MMinus;
false ->
R < MMinus
end,
TC2 = case HighOk of
true ->
(R + MPlus) >= S;
false ->
(R + MPlus) > S
end,
case TC1 of
false ->
case TC2 of
false ->
[D | generate(R * 10, S, MPlus * 10, MMinus * 10,
LowOk, HighOk)];
true ->
[D + 1]
end;
true ->
case TC2 of
false ->
[D];
true ->
case R * 2 < S of
true ->
[D];
false ->
[D + 1]
end
end
end.
unpack(Float) ->
<<Sign:1, Exp:11, Frac:52>> = <<Float:64/float>>,
{Sign, Exp, Frac}.
frexp1({_Sign, 0, 0}) ->
{0.0, 0};
frexp1({Sign, 0, Frac}) ->
Exp = log2floor(Frac),
<<Frac1:64/float>> = <<Sign:1, ?FLOAT_BIAS:11, (Frac-1):52>>,
{Frac1, -(?FLOAT_BIAS) - 52 + Exp};
frexp1({Sign, Exp, Frac}) ->
<<Frac1:64/float>> = <<Sign:1, ?FLOAT_BIAS:11, Frac:52>>,
{Frac1, Exp - ?FLOAT_BIAS}.
log2floor(Int) ->
log2floor(Int, 0).
log2floor(0, N) ->
N;
log2floor(Int, N) ->
log2floor(Int bsr 1, 1 + N).
transform_digits(Place, [0 | Rest]) ->
transform_digits(Place, Rest);
transform_digits(Place, Digits) ->
{Place, [$0 + D || D <- Digits]}.
frexp_int(F) ->
case unpack(F) of
{_Sign, 0, Frac} ->
{Frac, ?MIN_EXP};
{_Sign, Exp, Frac} ->
{Frac + (1 bsl 52), Exp - 53 - ?FLOAT_BIAS}
end.
%%
%% Tests
%%
-ifdef(TEST).
-include_lib("eunit/include/eunit.hrl").
int_ceil_test() ->
?assertEqual(1, int_ceil(0.0001)),
?assertEqual(0, int_ceil(0.0)),
?assertEqual(1, int_ceil(0.99)),
?assertEqual(1, int_ceil(1.0)),
?assertEqual(-1, int_ceil(-1.5)),
?assertEqual(-2, int_ceil(-2.0)),
ok.
int_pow_test() ->
?assertEqual(1, int_pow(1, 1)),
?assertEqual(1, int_pow(1, 0)),
?assertEqual(1, int_pow(10, 0)),
?assertEqual(10, int_pow(10, 1)),
?assertEqual(100, int_pow(10, 2)),
?assertEqual(1000, int_pow(10, 3)),
ok.
digits_test() ->
?assertEqual("0",
digits(0)),
?assertEqual("0.0",
digits(0.0)),
?assertEqual("1.0",
digits(1.0)),
?assertEqual("-1.0",
digits(-1.0)),
?assertEqual("0.1",
digits(0.1)),
?assertEqual("0.01",
digits(0.01)),
?assertEqual("0.001",
digits(0.001)),
?assertEqual("1.0e+6",
digits(1000000.0)),
?assertEqual("0.5",
digits(0.5)),
?assertEqual("4503599627370496.0",
digits(4503599627370496.0)),
%% small denormalized number
%% 4.94065645841246544177e-324 =:= 5.0e-324
<<SmallDenorm/float>> = <<0,0,0,0,0,0,0,1>>,
?assertEqual("5.0e-324",
digits(SmallDenorm)),
?assertEqual(SmallDenorm,
list_to_float(digits(SmallDenorm))),
%% large denormalized number
%% 2.22507385850720088902e-308
<<BigDenorm/float>> = <<0,15,255,255,255,255,255,255>>,
?assertEqual("2.225073858507201e-308",
digits(BigDenorm)),
?assertEqual(BigDenorm,
list_to_float(digits(BigDenorm))),
%% small normalized number
%% 2.22507385850720138309e-308
<<SmallNorm/float>> = <<0,16,0,0,0,0,0,0>>,
?assertEqual("2.2250738585072014e-308",
digits(SmallNorm)),
?assertEqual(SmallNorm,
list_to_float(digits(SmallNorm))),
%% large normalized number
%% 1.79769313486231570815e+308
<<LargeNorm/float>> = <<127,239,255,255,255,255,255,255>>,
?assertEqual("1.7976931348623157e+308",
digits(LargeNorm)),
?assertEqual(LargeNorm,
list_to_float(digits(LargeNorm))),
%% issue #10 - mochinum:frexp(math:pow(2, -1074)).
?assertEqual("5.0e-324",
digits(math:pow(2, -1074))),
ok.
frexp_test() ->
%% zero
?assertEqual({0.0, 0}, frexp(0.0)),
%% one
?assertEqual({0.5, 1}, frexp(1.0)),
%% negative one
?assertEqual({-0.5, 1}, frexp(-1.0)),
%% small denormalized number
%% 4.94065645841246544177e-324
<<SmallDenorm/float>> = <<0,0,0,0,0,0,0,1>>,
?assertEqual({0.5, -1073}, frexp(SmallDenorm)),
%% large denormalized number
%% 2.22507385850720088902e-308
<<BigDenorm/float>> = <<0,15,255,255,255,255,255,255>>,
?assertEqual(
{0.99999999999999978, -1022},
frexp(BigDenorm)),
%% small normalized number
%% 2.22507385850720138309e-308
<<SmallNorm/float>> = <<0,16,0,0,0,0,0,0>>,
?assertEqual({0.5, -1021}, frexp(SmallNorm)),
%% large normalized number
%% 1.79769313486231570815e+308
<<LargeNorm/float>> = <<127,239,255,255,255,255,255,255>>,
?assertEqual(
{0.99999999999999989, 1024},
frexp(LargeNorm)),
%% issue #10 - mochinum:frexp(math:pow(2, -1074)).
?assertEqual(
{0.5, -1073},
frexp(math:pow(2, -1074))),
ok.
-endif.