Add bin and edit workflow
Gitea Actions Demo / Explore-Gitea-Actions (push) Failing after 9s

This commit is contained in:
2026-09-16 13:11:16 -06:00
parent c8ac4fcae5
commit 4cee170d66
17576 changed files with 895740 additions and 2 deletions
@@ -0,0 +1,5 @@
if RUBY_ENGINE == 'jruby'
JRuby::Util.load_ext("org.jruby.ext.bigdecimal.BigDecimalLibrary")
else
require 'bigdecimal.so'
end
Binary file not shown.
@@ -0,0 +1,90 @@
# frozen_string_literal: false
require 'bigdecimal'
# require 'bigdecimal/jacobian'
#
# Provides methods to compute the Jacobian matrix of a set of equations at a
# point x. In the methods below:
#
# f is an Object which is used to compute the Jacobian matrix of the equations.
# It must provide the following methods:
#
# f.values(x):: returns the values of all functions at x
#
# f.zero:: returns 0.0
# f.one:: returns 1.0
# f.two:: returns 2.0
# f.ten:: returns 10.0
#
# f.eps:: returns the convergence criterion (epsilon value) used to determine whether two values are considered equal. If |a-b| < epsilon, the two values are considered equal.
#
# x is the point at which to compute the Jacobian.
#
# fx is f.values(x).
#
module Jacobian
module_function
# Determines the equality of two numbers by comparing to zero, or using the epsilon value
def isEqual(a,b,zero=0.0,e=1.0e-8)
aa = a.abs
bb = b.abs
if aa == zero && bb == zero then
true
else
if ((a-b)/(aa+bb)).abs < e then
true
else
false
end
end
end
# Computes the derivative of +f[i]+ at +x[i]+.
# +fx+ is the value of +f+ at +x+.
def dfdxi(f,fx,x,i)
nRetry = 0
n = x.size
xSave = x[i]
ok = 0
ratio = f.ten*f.ten*f.ten
dx = x[i].abs/ratio
dx = fx[i].abs/ratio if isEqual(dx,f.zero,f.zero,f.eps)
dx = f.one/f.ten if isEqual(dx,f.zero,f.zero,f.eps)
until ok>0 do
deriv = []
nRetry += 1
if nRetry > 100
raise "Singular Jacobian matrix. No change at x[" + i.to_s + "]"
end
dx = dx*f.two
x[i] += dx
fxNew = f.values(x)
for j in 0...n do
if !isEqual(fxNew[j],fx[j],f.zero,f.eps) then
ok += 1
deriv <<= (fxNew[j]-fx[j])/dx
else
deriv <<= f.zero
end
end
x[i] = xSave
end
deriv
end
# Computes the Jacobian of +f+ at +x+. +fx+ is the value of +f+ at +x+.
def jacobian(f,fx,x)
n = x.size
dfdx = Array.new(n*n)
for i in 0...n do
df = dfdxi(f,fx,x,i)
for j in 0...n do
dfdx[j*n+i] = df[j]
end
end
dfdx
end
end
@@ -0,0 +1,89 @@
# frozen_string_literal: false
require 'bigdecimal'
#
# Solves a*x = b for x, using LU decomposition.
#
module LUSolve
module_function
# Performs LU decomposition of the n by n matrix a.
def ludecomp(a,n,zero=0,one=1)
prec = BigDecimal.limit(nil)
ps = []
scales = []
for i in 0...n do # pick up largest(abs. val.) element in each row.
ps <<= i
nrmrow = zero
ixn = i*n
for j in 0...n do
biggst = a[ixn+j].abs
nrmrow = biggst if biggst>nrmrow
end
if nrmrow>zero then
scales <<= one.div(nrmrow,prec)
else
raise "Singular matrix"
end
end
n1 = n - 1
for k in 0...n1 do # Gaussian elimination with partial pivoting.
biggst = zero;
for i in k...n do
size = a[ps[i]*n+k].abs*scales[ps[i]]
if size>biggst then
biggst = size
pividx = i
end
end
raise "Singular matrix" if biggst<=zero
if pividx!=k then
j = ps[k]
ps[k] = ps[pividx]
ps[pividx] = j
end
pivot = a[ps[k]*n+k]
for i in (k+1)...n do
psin = ps[i]*n
a[psin+k] = mult = a[psin+k].div(pivot,prec)
if mult!=zero then
pskn = ps[k]*n
for j in (k+1)...n do
a[psin+j] -= mult.mult(a[pskn+j],prec)
end
end
end
end
raise "Singular matrix" if a[ps[n1]*n+n1] == zero
ps
end
# Solves a*x = b for x, using LU decomposition.
#
# a is a matrix, b is a constant vector, x is the solution vector.
#
# ps is the pivot, a vector which indicates the permutation of rows performed
# during LU decomposition.
def lusolve(a,b,ps,zero=0.0)
prec = BigDecimal.limit(nil)
n = ps.size
x = []
for i in 0...n do
dot = zero
psin = ps[i]*n
for j in 0...i do
dot = a[psin+j].mult(x[j],prec) + dot
end
x <<= b[ps[i]] - dot
end
(n-1).downto(0) do |i|
dot = zero
psin = ps[i]*n
for j in (i+1)...n do
dot = a[psin+j].mult(x[j],prec) + dot
end
x[i] = (x[i]-dot).div(a[psin+i],prec)
end
x
end
end
@@ -0,0 +1,232 @@
# frozen_string_literal: false
require 'bigdecimal'
#
#--
# Contents:
# sqrt(x, prec)
# sin (x, prec)
# cos (x, prec)
# atan(x, prec) Note: |x|<1, x=0.9999 may not converge.
# PI (prec)
# E (prec) == exp(1.0,prec)
#
# where:
# x ... BigDecimal number to be computed.
# |x| must be small enough to get convergence.
# prec ... Number of digits to be obtained.
#++
#
# Provides mathematical functions.
#
# Example:
#
# require "bigdecimal/math"
#
# include BigMath
#
# a = BigDecimal((PI(100)/2).to_s)
# puts sin(a,100) # => 0.99999999999999999999......e0
#
module BigMath
module_function
# call-seq:
# sqrt(decimal, numeric) -> BigDecimal
#
# Computes the square root of +decimal+ to the specified number of digits of
# precision, +numeric+.
#
# BigMath.sqrt(BigDecimal('2'), 16).to_s
# #=> "0.1414213562373095048801688724e1"
#
def sqrt(x, prec)
x.sqrt(prec)
end
# call-seq:
# sin(decimal, numeric) -> BigDecimal
#
# Computes the sine of +decimal+ to the specified number of digits of
# precision, +numeric+.
#
# If +decimal+ is Infinity or NaN, returns NaN.
#
# BigMath.sin(BigMath.PI(5)/4, 5).to_s
# #=> "0.70710678118654752440082036563292800375e0"
#
def sin(x, prec)
raise ArgumentError, "Zero or negative precision for sin" if prec <= 0
return BigDecimal("NaN") if x.infinite? || x.nan?
n = prec + BigDecimal.double_fig
one = BigDecimal("1")
two = BigDecimal("2")
x = -x if neg = x < 0
if x > (twopi = two * BigMath.PI(prec))
if x > 30
x %= twopi
else
x -= twopi while x > twopi
end
end
x1 = x
x2 = x.mult(x,n)
sign = 1
y = x
d = y
i = one
z = one
while d.nonzero? && ((m = n - (y.exponent - d.exponent).abs) > 0)
m = BigDecimal.double_fig if m < BigDecimal.double_fig
sign = -sign
x1 = x2.mult(x1,n)
i += two
z *= (i-one) * i
d = sign * x1.div(z,m)
y += d
end
neg ? -y : y
end
# call-seq:
# cos(decimal, numeric) -> BigDecimal
#
# Computes the cosine of +decimal+ to the specified number of digits of
# precision, +numeric+.
#
# If +decimal+ is Infinity or NaN, returns NaN.
#
# BigMath.cos(BigMath.PI(4), 16).to_s
# #=> "-0.999999999999999999999999999999856613163740061349e0"
#
def cos(x, prec)
raise ArgumentError, "Zero or negative precision for cos" if prec <= 0
return BigDecimal("NaN") if x.infinite? || x.nan?
n = prec + BigDecimal.double_fig
one = BigDecimal("1")
two = BigDecimal("2")
x = -x if x < 0
if x > (twopi = two * BigMath.PI(prec))
if x > 30
x %= twopi
else
x -= twopi while x > twopi
end
end
x1 = one
x2 = x.mult(x,n)
sign = 1
y = one
d = y
i = BigDecimal("0")
z = one
while d.nonzero? && ((m = n - (y.exponent - d.exponent).abs) > 0)
m = BigDecimal.double_fig if m < BigDecimal.double_fig
sign = -sign
x1 = x2.mult(x1,n)
i += two
z *= (i-one) * i
d = sign * x1.div(z,m)
y += d
end
y
end
# call-seq:
# atan(decimal, numeric) -> BigDecimal
#
# Computes the arctangent of +decimal+ to the specified number of digits of
# precision, +numeric+.
#
# If +decimal+ is NaN, returns NaN.
#
# BigMath.atan(BigDecimal('-1'), 16).to_s
# #=> "-0.785398163397448309615660845819878471907514682065e0"
#
def atan(x, prec)
raise ArgumentError, "Zero or negative precision for atan" if prec <= 0
return BigDecimal("NaN") if x.nan?
pi = PI(prec)
x = -x if neg = x < 0
return pi.div(neg ? -2 : 2, prec) if x.infinite?
return pi / (neg ? -4 : 4) if x.round(prec) == 1
x = BigDecimal("1").div(x, prec) if inv = x > 1
x = (-1 + sqrt(1 + x**2, prec))/x if dbl = x > 0.5
n = prec + BigDecimal.double_fig
y = x
d = y
t = x
r = BigDecimal("3")
x2 = x.mult(x,n)
while d.nonzero? && ((m = n - (y.exponent - d.exponent).abs) > 0)
m = BigDecimal.double_fig if m < BigDecimal.double_fig
t = -t.mult(x2,n)
d = t.div(r,m)
y += d
r += 2
end
y *= 2 if dbl
y = pi / 2 - y if inv
y = -y if neg
y
end
# call-seq:
# PI(numeric) -> BigDecimal
#
# Computes the value of pi to the specified number of digits of precision,
# +numeric+.
#
# BigMath.PI(10).to_s
# #=> "0.3141592653589793238462643388813853786957412e1"
#
def PI(prec)
raise ArgumentError, "Zero or negative precision for PI" if prec <= 0
n = prec + BigDecimal.double_fig
zero = BigDecimal("0")
one = BigDecimal("1")
two = BigDecimal("2")
m25 = BigDecimal("-0.04")
m57121 = BigDecimal("-57121")
pi = zero
d = one
k = one
t = BigDecimal("-80")
while d.nonzero? && ((m = n - (pi.exponent - d.exponent).abs) > 0)
m = BigDecimal.double_fig if m < BigDecimal.double_fig
t = t*m25
d = t.div(k,m)
k = k+two
pi = pi + d
end
d = one
k = one
t = BigDecimal("956")
while d.nonzero? && ((m = n - (pi.exponent - d.exponent).abs) > 0)
m = BigDecimal.double_fig if m < BigDecimal.double_fig
t = t.div(m57121,n)
d = t.div(k,m)
pi = pi + d
k = k+two
end
pi
end
# call-seq:
# E(numeric) -> BigDecimal
#
# Computes e (the base of natural logarithms) to the specified number of
# digits of precision, +numeric+.
#
# BigMath.E(10).to_s
# #=> "0.271828182845904523536028752390026306410273e1"
#
def E(prec)
raise ArgumentError, "Zero or negative precision for E" if prec <= 0
BigMath.exp(1, prec)
end
end
@@ -0,0 +1,80 @@
# frozen_string_literal: false
require "bigdecimal/ludcmp"
require "bigdecimal/jacobian"
#
# newton.rb
#
# Solves the nonlinear algebraic equation system f = 0 by Newton's method.
# This program is not dependent on BigDecimal.
#
# To call:
# n = nlsolve(f,x)
# where n is the number of iterations required,
# x is the initial value vector
# f is an Object which is used to compute the values of the equations to be solved.
# It must provide the following methods:
#
# f.values(x):: returns the values of all functions at x
#
# f.zero:: returns 0.0
# f.one:: returns 1.0
# f.two:: returns 2.0
# f.ten:: returns 10.0
#
# f.eps:: returns the convergence criterion (epsilon value) used to determine whether two values are considered equal. If |a-b| < epsilon, the two values are considered equal.
#
# On exit, x is the solution vector.
#
module Newton
include LUSolve
include Jacobian
module_function
def norm(fv,zero=0.0) # :nodoc:
s = zero
n = fv.size
for i in 0...n do
s += fv[i]*fv[i]
end
s
end
# See also Newton
def nlsolve(f,x)
nRetry = 0
n = x.size
f0 = f.values(x)
zero = f.zero
one = f.one
two = f.two
p5 = one/two
d = norm(f0,zero)
minfact = f.ten*f.ten*f.ten
minfact = one/minfact
e = f.eps
while d >= e do
nRetry += 1
# Not yet converged. => Compute Jacobian matrix
dfdx = jacobian(f,f0,x)
# Solve dfdx*dx = -f0 to estimate dx
dx = lusolve(dfdx,f0,ludecomp(dfdx,n,zero,one),zero)
fact = two
xs = x.dup
begin
fact *= p5
if fact < minfact then
raise "Failed to reduce function values."
end
for i in 0...n do
x[i] = xs[i] - dx[i]*fact
end
f0 = f.values(x)
dn = norm(f0,zero)
end while(dn>=d)
d = dn
end
nRetry
end
end
@@ -0,0 +1,185 @@
# frozen_string_literal: false
#
#--
# bigdecimal/util extends various native classes to provide the #to_d method,
# and provides BigDecimal#to_d and BigDecimal#to_digits.
#++
require 'bigdecimal'
class Integer < Numeric
# call-seq:
# int.to_d -> bigdecimal
#
# Returns the value of +int+ as a BigDecimal.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# 42.to_d # => 0.42e2
#
# See also Kernel.BigDecimal.
#
def to_d
BigDecimal(self)
end
end
class Float < Numeric
# call-seq:
# float.to_d -> bigdecimal
# float.to_d(precision) -> bigdecimal
#
# Returns the value of +float+ as a BigDecimal.
# The +precision+ parameter is used to determine the number of
# significant digits for the result. When +precision+ is set to +0+,
# the number of digits to represent the float being converted is determined
# automatically.
# The default +precision+ is +0+.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# 0.5.to_d # => 0.5e0
# 1.234.to_d # => 0.1234e1
# 1.234.to_d(2) # => 0.12e1
#
# See also Kernel.BigDecimal.
#
def to_d(precision=0)
BigDecimal(self, precision)
end
end
class String
# call-seq:
# str.to_d -> bigdecimal
#
# Returns the result of interpreting leading characters in +str+
# as a BigDecimal.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# "0.5".to_d # => 0.5e0
# "123.45e1".to_d # => 0.12345e4
# "45.67 degrees".to_d # => 0.4567e2
#
# See also Kernel.BigDecimal.
#
def to_d
BigDecimal.interpret_loosely(self)
end
end
class BigDecimal < Numeric
# call-seq:
# a.to_digits -> string
#
# Converts a BigDecimal to a String of the form "nnnnnn.mmm".
# This method is deprecated; use BigDecimal#to_s("F") instead.
#
# require 'bigdecimal/util'
#
# d = BigDecimal("3.14")
# d.to_digits # => "3.14"
#
def to_digits
if self.nan? || self.infinite? || self.zero?
self.to_s
else
i = self.to_i.to_s
_,f,_,z = self.frac.split
i + "." + ("0"*(-z)) + f
end
end
# call-seq:
# a.to_d -> bigdecimal
#
# Returns self.
#
# require 'bigdecimal/util'
#
# d = BigDecimal("3.14")
# d.to_d # => 0.314e1
#
def to_d
self
end
end
class Rational < Numeric
# call-seq:
# rat.to_d(precision) -> bigdecimal
#
# Returns the value as a BigDecimal.
#
# The required +precision+ parameter is used to determine the number of
# significant digits for the result.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# Rational(22, 7).to_d(3) # => 0.314e1
#
# See also Kernel.BigDecimal.
#
def to_d(precision)
BigDecimal(self, precision)
end
end
class Complex < Numeric
# call-seq:
# cmp.to_d -> bigdecimal
# cmp.to_d(precision) -> bigdecimal
#
# Returns the value as a BigDecimal.
#
# The +precision+ parameter is required for a rational complex number.
# This parameter is used to determine the number of significant digits
# for the result.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# Complex(0.1234567, 0).to_d(4) # => 0.1235e0
# Complex(Rational(22, 7), 0).to_d(3) # => 0.314e1
#
# See also Kernel.BigDecimal.
#
def to_d(*args)
BigDecimal(self) unless self.imag.zero? # to raise error
if args.length == 0
case self.real
when Rational
BigDecimal(self.real) # to raise error
end
end
self.real.to_d(*args)
end
end
class NilClass
# call-seq:
# nil.to_d -> bigdecimal
#
# Returns nil represented as a BigDecimal.
#
# require 'bigdecimal'
# require 'bigdecimal/util'
#
# nil.to_d # => 0.0
#
def to_d
BigDecimal(0)
end
end