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n8n-openai-adapter/lib/elixir/lib/float.ex
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Elixir

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: 2021 The Elixir Team
# SPDX-FileCopyrightText: 2012 Plataformatec
import Kernel, except: [round: 1]
defmodule Float do
@moduledoc """
Functions for working with floating-point numbers.
For mathematical operations on top of floating-points,
see Erlang's [`:math`](`:math`) module.
## Kernel functions
There are functions related to floating-point numbers on the `Kernel` module
too. Here is a list of them:
* `Kernel.round/1`: rounds a number to the nearest integer.
* `Kernel.trunc/1`: returns the integer part of a number.
## Known issues
There are some very well known problems with floating-point numbers
and arithmetic due to the fact most decimal fractions cannot be
represented by a floating-point binary and most operations are not exact,
but operate on approximations. Those issues are not specific
to Elixir, they are a property of floating-point representation itself.
For example, the numbers 0.1 and 0.01 are two of them, what means the result
of squaring 0.1 does not give 0.01 neither the closest representable. Here is
what happens in this case:
* The closest representable number to 0.1 is 0.1000000014
* The closest representable number to 0.01 is 0.0099999997
* Doing 0.1 * 0.1 should return 0.01, but because 0.1 is actually 0.1000000014,
the result is 0.010000000000000002, and because this is not the closest
representable number to 0.01, you'll get the wrong result for this operation
There are also other known problems like flooring or rounding numbers. See
`round/2` and `floor/2` for more details about them.
To learn more about floating-point arithmetic visit:
* [0.30000000000000004.com](https://0.30000000000000004.com/)
* [What Every Programmer Should Know About Floating-Point Arithmetic](https://floating-point-gui.de/)
"""
import Bitwise
@power_of_2_to_52 4_503_599_627_370_496
@precision_range 0..15
@type precision_range :: 0..15
@min_finite then(<<0xFFEFFFFFFFFFFFFF::64>>, fn <<num::float>> -> num end)
@max_finite then(<<0x7FEFFFFFFFFFFFFF::64>>, fn <<num::float>> -> num end)
@doc """
Returns the maximum finite value for a float.
## Examples
iex> Float.max_finite()
1.7976931348623157e308
"""
@spec max_finite() :: float
def max_finite, do: @max_finite
@doc """
Returns the minimum finite value for a float.
## Examples
iex> Float.min_finite()
-1.7976931348623157e308
"""
@spec min_finite() :: float
def min_finite, do: @min_finite
@doc """
Computes `base` raised to power of `exponent`.
`base` must be a float and `exponent` can be any number.
However, if a negative base and a fractional exponent
are given, it raises `ArithmeticError`.
It always returns a float. See `Integer.pow/2` for
exponentiation that returns integers.
## Examples
iex> Float.pow(2.0, 0)
1.0
iex> Float.pow(2.0, 1)
2.0
iex> Float.pow(2.0, 10)
1024.0
iex> Float.pow(2.0, -1)
0.5
iex> Float.pow(2.0, -3)
0.125
iex> Float.pow(3.0, 1.5)
5.196152422706632
iex> Float.pow(-2.0, 3)
-8.0
iex> Float.pow(-2.0, 4)
16.0
iex> Float.pow(-1.0, 0.5)
** (ArithmeticError) bad argument in arithmetic expression
"""
@doc since: "1.12.0"
@spec pow(float, number) :: float
def pow(base, exponent) when is_float(base) and is_number(exponent),
do: :math.pow(base, exponent)
@doc """
Parses a binary into a float.
If successful, returns a tuple in the form of `{float, remainder_of_binary}`;
when the binary cannot be coerced into a valid float, the atom `:error` is
returned.
If the size of float exceeds the maximum size of `1.7976931348623157e+308`,
`:error` is returned even though the textual representation itself might be
well formed.
If you want to convert a string-formatted float directly to a float,
`String.to_float/1` can be used instead.
## Examples
iex> Float.parse("34")
{34.0, ""}
iex> Float.parse("34.25")
{34.25, ""}
iex> Float.parse("56.5xyz")
{56.5, "xyz"}
iex> Float.parse(".12")
:error
iex> Float.parse("pi")
:error
iex> Float.parse("1.7976931348623159e+308")
:error
"""
@spec parse(binary) :: {float, binary} | :error
def parse("-" <> binary) do
case parse_unsigned(binary) do
:error -> :error
{number, remainder} -> {-number, remainder}
end
end
def parse("+" <> binary) do
parse_unsigned(binary)
end
def parse(binary) do
parse_unsigned(binary)
end
defp parse_unsigned(<<digit, rest::binary>> = binary) when digit in ?0..?9,
do: parse_mantissa(binary, rest, false)
defp parse_unsigned(binary) when is_binary(binary), do: :error
defp parse_mantissa(binary, <<digit, rest::binary>>, dot?) when digit in ?0..?9,
do: parse_mantissa(binary, rest, dot?)
defp parse_mantissa(binary, <<?., digit, rest::binary>>, false) when digit in ?0..?9,
do: parse_mantissa(binary, rest, true)
defp parse_mantissa(binary, <<exp_marker, digit, rest::binary>> = tail, dot?)
when exp_marker in ~c"eE" and digit in ?0..?9,
do: parse_exponent(binary, byte_size(binary) - byte_size(tail), rest, dot?)
defp parse_mantissa(binary, <<exp_marker, sign, digit, rest::binary>> = tail, dot?)
when exp_marker in ~c"eE" and sign in ~c"-+" and digit in ?0..?9,
do: parse_exponent(binary, byte_size(binary) - byte_size(tail), rest, dot?)
defp parse_mantissa(binary, rest, dot?), do: finish_mantissa(binary, rest, dot?)
defp parse_exponent(binary, exp_pos, <<digit, rest::binary>>, dot?) when digit in ?0..?9,
do: parse_exponent(binary, exp_pos, rest, dot?)
defp parse_exponent(binary, exp_pos, rest, dot?),
do: finish_exponent(binary, exp_pos, rest, dot?)
defp finish_mantissa(binary, rest, _dot? = true) do
{:erlang.binary_to_float(consumed(binary, rest)), rest}
rescue
ArgumentError -> :error
end
# Bare integer: * 1.0 casts to the nearest float without building a new binary,
# and raises ArithmeticError on overflow (for example a 400-digit integer).
defp finish_mantissa(binary, rest, _dot? = false) do
{:erlang.binary_to_integer(consumed(binary, rest)) * 1.0, rest}
rescue
ArithmeticError -> :error
end
# binary_to_float/1 raises ArgumentError when the exponent is too big, e.g. "1.0e400".
defp finish_exponent(binary, _exp_pos, rest, _dot? = true) do
{:erlang.binary_to_float(consumed(binary, rest)), rest}
rescue
ArgumentError -> :error
end
# No decimal point, so ".0" is spliced in before the exponent (at exp_pos) to
# form a valid float literal.
defp finish_exponent(binary, exp_pos, rest, _dot? = false) do
len = byte_size(binary) - byte_size(rest)
literal =
IO.iodata_to_binary([
:binary.part(binary, 0, exp_pos),
".0",
:binary.part(binary, exp_pos, len - exp_pos)
])
{:erlang.binary_to_float(literal), rest}
rescue
ArgumentError -> :error
end
defp consumed(binary, ""), do: binary
defp consumed(binary, rest), do: :binary.part(binary, 0, byte_size(binary) - byte_size(rest))
@doc """
Rounds a float to the largest float less than or equal to `number`.
`floor/2` also accepts a precision to round a floating-point value down
to an arbitrary number of fractional digits (between 0 and 15).
The operation is performed on the binary floating point, without a
conversion to decimal.
This function always returns a float. `Kernel.trunc/1` may be used instead to
truncate the result to an integer afterwards.
## Known issues
The behavior of `floor/2` for floats can be surprising. For example:
iex> Float.floor(12.52, 2)
12.51
One may have expected it to floor to 12.52. This is not a bug.
Most decimal fractions cannot be represented as a binary floating point
and therefore the number above is internally represented as 12.51999999,
which explains the behavior above.
## Examples
iex> Float.floor(34.25)
34.0
iex> Float.floor(-56.5)
-57.0
iex> Float.floor(34.259, 2)
34.25
"""
@spec floor(float, precision_range) :: float
def floor(number, precision \\ 0)
def floor(number, 0) when is_float(number) do
:math.floor(number)
end
def floor(number, precision) when is_float(number) and precision in @precision_range do
round(number, precision, :floor)
end
def floor(number, precision) when is_float(number) do
raise ArgumentError, invalid_precision_message(precision)
end
@doc """
Rounds a float to the smallest float greater than or equal to `number`.
`ceil/2` also accepts a precision to round a floating-point value up
to an arbitrary number of fractional digits (between 0 and 15).
The operation is performed on the binary floating point, without a
conversion to decimal.
The behavior of `ceil/2` for floats can be surprising. For example:
iex> Float.ceil(-12.52, 2)
-12.51
One may have expected it to ceil to -12.52. This is not a bug.
Most decimal fractions cannot be represented as a binary floating point
and therefore the number above is internally represented as -12.51999999,
which explains the behavior above.
This function always returns floats. `Kernel.trunc/1` may be used instead to
truncate the result to an integer afterwards.
## Examples
iex> Float.ceil(34.25)
35.0
iex> Float.ceil(-56.5)
-56.0
iex> Float.ceil(34.251, 2)
34.26
iex> Float.ceil(-0.01)
-0.0
"""
@spec ceil(float, precision_range) :: float
def ceil(number, precision \\ 0)
def ceil(number, 0) when is_float(number) do
:math.ceil(number)
end
def ceil(number, precision) when is_float(number) and precision in @precision_range do
round(number, precision, :ceil)
end
def ceil(number, precision) when is_float(number) do
raise ArgumentError, invalid_precision_message(precision)
end
@doc """
Rounds a floating-point value to an arbitrary number of fractional
digits (between 0 and 15).
The rounding direction always ties to half up. The operation is
performed on the binary floating point, without a conversion to decimal.
This function only accepts floats and always returns a float. Use
`Kernel.round/1` if you want a function that accepts both floats
and integers and always returns an integer.
## Known issues
The behavior of `round/2` for floats can be surprising. For example:
iex> Float.round(5.5675, 3)
5.567
One may have expected it to round to the half up 5.568. This is not a bug.
Most decimal fractions cannot be represented as a binary floating point
and therefore the number above is internally represented as 5.567499999,
which explains the behavior above. If you want exact rounding for decimals,
you must use a decimal library. The behavior above is also in accordance
with reference implementations, such as "Correctly Rounded Binary-Decimal and
Decimal-Binary Conversions" by David M. Gay.
## Examples
iex> Float.round(12.5)
13.0
iex> Float.round(5.5674, 3)
5.567
iex> Float.round(5.5675, 3)
5.567
iex> Float.round(-5.5674, 3)
-5.567
iex> Float.round(-5.5675)
-6.0
iex> Float.round(12.341444444444441, 15)
12.341444444444441
iex> Float.round(-0.01)
-0.0
"""
@spec round(float, precision_range) :: float
def round(float, precision \\ 0)
def round(float, 0) when float === 0.0 or float === -0.0, do: float
def round(float, 0) when is_float(float) do
case :erlang.round(float) * 1.0 do
zero when zero == 0.0 and float < 0.0 -> -0.0
rounded -> rounded
end
end
def round(float, precision) when is_float(float) and precision in @precision_range do
round(float, precision, :half_up)
end
def round(float, precision) when is_float(float) do
raise ArgumentError, invalid_precision_message(precision)
end
# Decimal-place rounding via exact rational scaling. This is the bignum
# core used by reference implementations like David M. Gay's "Correctly
# Rounded Binary-Decimal and Decimal-Binary Conversions" (cited in the
# @doc above), Python's round(), and Java's BigDecimal.setScale.
#
# 1. Decompose float exactly: |float| = mantissa / 2^shift.
# 2. Scale exactly: |float| * 10^precision = mantissa * 10^precision / 2^shift.
# Because precision is bounded to 0..15, the product fits in ~103 bits
# (53-bit mantissa + ~50-bit power of ten) and BEAM bignums handle it
# directly without approximation.
# 3. Round the exact rational to an integer per the requested mode
# (half_up / floor / ceil) using quotient and remainder.
# 4. Emit the float closest to rounded_int / 10^precision:
# - fast path: when rounded_int < 2^53, both operands are exactly
# representable as floats and IEEE division is correctly rounded.
# - slow path: bignum alignment + manual mantissa extraction with
# round-to-nearest-even for the trailing bit.
#
# The integer-rounding decision (step 3) and the binary-emission decision
# (step 4) are deliberately independent: step 3 picks the exact rational
# the user asked for, step 4 picks the closest float to that rational.
# Conflating them is the classic source of double-rounding bugs.
#
# Faster algorithms exist (Cox 2026's table-based uscale; Ryū / Schubfach
# for round-trip printing) but target different problems or assume
# fixed-width machine arithmetic that BEAM doesn't expose efficiently.
# At precision <= 15, the exact path is small, easy to audit, and fast
# enough that a more complex algorithm has not been justified by benchmarks.
defp round(num, _precision, _rounding) when is_float(num) and num == 0.0, do: num
defp round(float, precision, mode) do
<<sign::1, exp::11, mantissa::52>> = <<float::float>>
cond do
# Subnormal — tiny but non-zero; treat per-mode (ceil(+) and floor(-) bump
# to 10^-precision; everything else rounds to signed zero).
exp == 0 ->
tiny_round(sign, precision, mode)
# |float| >= 2^52 — has no fractional bits, return unchanged.
exp - 1075 >= 0 ->
float
true ->
mantissa = @power_of_2_to_52 ||| mantissa
shift = 1075 - exp
do_round(sign, mantissa, shift, precision, mode)
end
end
# |float * 10^precision| < 0.5 — integer round is 0; ceil/floor still bump per sign.
defp do_round(sign, _mantissa, shift, precision, mode) when shift >= 104 do
tiny_round(sign, precision, mode)
end
defp do_round(sign, mantissa, shift, precision, mode) do
power = power_of_10(precision)
product = mantissa * power
half = 1 <<< (shift - 1)
quotient = product >>> shift
remainder = product - (quotient <<< shift)
rounded_int = round_step(mode, sign, quotient, remainder, half)
cond do
rounded_int == 0 ->
signed_zero(sign)
rounded_int < @power_of_2_to_52 <<< 1 ->
# Both rounded_int and power fit in 53 bits, so IEEE float division
# is correctly rounded.
result = rounded_int / power
if sign == 1, do: -result, else: result
true ->
bignum_to_float(sign, rounded_int, power)
end
end
defp round_step(:half_up, _sign, quotient, remainder, half) do
if remainder >= half, do: quotient + 1, else: quotient
end
defp round_step(:floor, 0, quotient, _remainder, _half), do: quotient
defp round_step(:floor, 1, quotient, remainder, _half) when remainder > 0, do: quotient + 1
defp round_step(:floor, 1, quotient, _remainder, _half), do: quotient
defp round_step(:ceil, 0, quotient, remainder, _half) when remainder > 0, do: quotient + 1
defp round_step(:ceil, 0, quotient, _remainder, _half), do: quotient
defp round_step(:ceil, 1, quotient, _remainder, _half), do: quotient
defp signed_zero(0), do: 0.0
defp signed_zero(1), do: -0.0
# Result of rounding a non-zero float whose |float * 10^precision| < 0.5.
# ceil(+) → +10^-precision, floor(-) → -10^-precision, others → signed 0.
defp tiny_round(0, precision, :ceil), do: 1.0 / power_of_10(precision)
defp tiny_round(1, precision, :floor), do: -1.0 / power_of_10(precision)
defp tiny_round(sign, _precision, _mode), do: signed_zero(sign)
# Slow path: emit float closest to `sign * rounded_int / power` when
# rounded_int >= 2^53. The binary emission step is always IEEE
# round-to-nearest-even, regardless of the integer-rounding mode.
defp bignum_to_float(sign, rounded_int, power) do
shift_adjust = bit_length(rounded_int) - bit_length(power) - 53
{numerator, denominator, exp} = align(rounded_int, power, shift_adjust)
quotient = div(numerator, denominator)
remainder = numerator - quotient * denominator
half = denominator >>> 1
mantissa =
cond do
remainder > half -> quotient + 1
remainder < half -> quotient
(quotient &&& 1) === 1 -> quotient + 1
true -> quotient
end
# Carry-bit normalization: `mantissa` lives in [2^52, 2^53]. The upper
# bound `2^53` is reachable when `align/3` returns an upper-bound quotient
# or when rounding carries. Rebalance into the canonical [2^52, 2^53)
# range so the 52-bit packing below doesn't silently truncate.
{mantissa, exp} =
if mantissa == @power_of_2_to_52 <<< 1,
do: {@power_of_2_to_52, exp + 1},
else: {mantissa, exp}
<<result::float>> = <<sign::1, exp + 1023::11, mantissa - @power_of_2_to_52::52>>
result
end
# Pick (numerator, denominator, exp) so that numerator/denominator ∈ [2^52, 2^53)
# and the resulting float = numerator/denominator * 2^(exp-52).
defp align(rounded_int, power, shift_adjust) when shift_adjust >= 0 do
new_power = power <<< shift_adjust
if rounded_int < new_power <<< 53,
do: {rounded_int, new_power, 52 + shift_adjust},
else: {rounded_int, new_power <<< 1, 53 + shift_adjust}
end
defp align(rounded_int, power, shift_adjust) do
shifted = rounded_int <<< -shift_adjust
cond do
shifted >= power <<< 53 -> {shifted, power <<< 1, 53 + shift_adjust}
shifted >= power <<< 52 -> {shifted, power, 52 + shift_adjust}
true -> {shifted <<< 1, power, 51 + shift_adjust}
end
end
defp bit_length(0), do: 0
defp bit_length(integer) when integer > 0, do: bit_length(integer, 0)
defp bit_length(integer, acc) when integer >= 1 <<< 64, do: bit_length(integer >>> 64, acc + 64)
defp bit_length(integer, acc) when integer >= 1 <<< 16, do: bit_length(integer >>> 16, acc + 16)
defp bit_length(integer, acc) when integer >= 1 <<< 4, do: bit_length(integer >>> 4, acc + 4)
defp bit_length(integer, acc) when integer >= 1, do: bit_length(integer >>> 1, acc + 1)
defp bit_length(_integer, acc), do: acc
Enum.reduce(0..15, 1, fn exponent, acc ->
defp power_of_10(unquote(exponent)), do: unquote(acc)
acc * 10
end)
@doc """
Returns a pair of integers whose ratio is exactly equal
to the original float and with a positive denominator.
## Examples
iex> Float.ratio(0.0)
{0, 1}
iex> Float.ratio(3.14)
{7070651414971679, 2251799813685248}
iex> Float.ratio(-3.14)
{-7070651414971679, 2251799813685248}
iex> Float.ratio(1.5)
{3, 2}
iex> Float.ratio(-1.5)
{-3, 2}
iex> Float.ratio(16.0)
{16, 1}
iex> Float.ratio(-16.0)
{-16, 1}
"""
@doc since: "1.4.0"
@spec ratio(float) :: {integer, pos_integer}
def ratio(float) when is_float(float) and float == 0.0, do: {0, 1}
def ratio(float) when is_float(float) do
<<sign::1, exp::11, mantissa::52>> = <<float::float>>
{num, den_exp} =
if exp != 0 do
# Floats are expressed like this:
# (2**52 + mantissa) * 2**(-52 + exp - 1023)
#
# We compute the root factors of the mantissa so we have this:
# (2**52 + mantissa * 2**count) * 2**(-52 + exp - 1023)
{mantissa, count} = root_factors(mantissa, 0)
# Now we can move the count around so we have this:
# (2**(52-count) + mantissa) * 2**(count + -52 + exp - 1023)
if mantissa == 0 do
{1, exp - 1023}
else
num = (1 <<< (52 - count)) + mantissa
den_exp = count - 52 + exp - 1023
{num, den_exp}
end
else
# Subnormals are expressed like this:
# (mantissa) * 2**(-52 + 1 - 1023)
#
# So we compute it to this:
# (mantissa * 2**(count)) * 2**(-52 + 1 - 1023)
#
# Which becomes:
# mantissa * 2**(count-1074)
root_factors(mantissa, -1074)
end
if den_exp > 0 do
{sign(sign, num <<< den_exp), 1}
else
{sign(sign, num), 1 <<< -den_exp}
end
end
defp root_factors(mantissa, count) when mantissa != 0 and (mantissa &&& 1) == 0,
do: root_factors(mantissa >>> 1, count + 1)
defp root_factors(mantissa, count),
do: {mantissa, count}
@compile {:inline, sign: 2}
defp sign(0, num), do: num
defp sign(1, num), do: -num
@doc """
Returns a charlist which corresponds to the shortest text representation
of the given float.
It uses the algorithm presented in "Ryū: fast float-to-string conversion"
in Proceedings of the SIGPLAN '2018 Conference on Programming Language
Design and Implementation.
For a configurable representation, use `:erlang.float_to_list/2`.
Inlined by the compiler.
## Examples
iex> Float.to_charlist(7.0)
~c"7.0"
"""
@spec to_charlist(float) :: charlist
def to_charlist(float) do
:erlang.float_to_list(float, [:short])
end
@doc """
Returns a binary which corresponds to the shortest text representation
of the given float.
The underlying algorithm changes depending on the Erlang/OTP version:
* For OTP >= 24, it uses the algorithm presented in "Ryū: fast
float-to-string conversion" in Proceedings of the SIGPLAN '2018
Conference on Programming Language Design and Implementation.
* For OTP < 24, it uses the algorithm presented in "Printing Floating-Point
Numbers Quickly and Accurately" in Proceedings of the SIGPLAN '1996
Conference on Programming Language Design and Implementation.
For a configurable representation, use `:erlang.float_to_binary/2`.
Inlined by the compiler.
## Examples
iex> Float.to_string(7.0)
"7.0"
"""
@spec to_string(float) :: String.t()
def to_string(float) do
:erlang.float_to_binary(float, [:short])
end
@doc false
@deprecated "Use Float.to_charlist/1 instead"
def to_char_list(float), do: Float.to_charlist(float)
@doc false
@deprecated "Use :erlang.float_to_list/2 instead"
def to_char_list(float, options) do
:erlang.float_to_list(float, expand_compact(options))
end
@doc false
@deprecated "Use :erlang.float_to_binary/2 instead"
def to_string(float, options) do
:erlang.float_to_binary(float, expand_compact(options))
end
defp invalid_precision_message(precision) do
"precision #{inspect(precision)} is out of valid range of #{inspect(@precision_range)}"
end
defp expand_compact([{:compact, false} | t]), do: expand_compact(t)
defp expand_compact([{:compact, true} | t]), do: [:compact | expand_compact(t)]
defp expand_compact([h | t]), do: [h | expand_compact(t)]
defp expand_compact([]), do: []
end