# Flt [![Gem Version](https://badge.fury.io/rb/flt.svg)](http://badge.fury.io/rb/flt) [![Build Status](https://travis-ci.org/jgoizueta/flt.svg)](https://travis-ci.org/jgoizueta/flt) This library provides arbitrary precision floating-point types for Ruby. All types and functions are within a namespace called Flt. Decimal and Binary floating point numbers are implemented in classes Flt::DecNum and Flt::BinNum. These types are completely written in Ruby using the multiple precision native integers. The performance could be improved in the future by using a C extension based on the decNumber library. The `Flt::Tolerance` classes and the `Flt.Tolerance()` constructor handle floating point tolerances defined in flexible ways. Context classes are defined in the files [flt/float.rb](lib/flt/float_rb.html) and [flt/bigdecimal.rb](lib/flt/bigdecimal_rb.html) for Float and BigDecimal numbers that aid to the interchangeability of floating point types. This represent the only definition of identifiers outside the Flt namespace: the methods Float.context() and BigDecimal.context() and some contants in Float. This library is the successor of the ruby-decimal gem, that defined the Decimal class for decimal floating point; that class has been renamed to `Flt::DecNum` and support has been added for binary floating point and tolerances. The documentation for this package is available at http://www.rubydoc.info/github/jgoizueta/flt/master The code is at http://github.com/jgoizueta/flt/ ## DecNum `Flt::DecNum` is a standards-compliant arbitrary precision decimal floating-point type for Ruby. It is based on the Python Decimal class. ## Standars compliance. DecNum is designed to be conformant to the General Decimal Arithmetic Specification and the revised IEEE 754 standard (IEEE 754-2008). # Examples of use To install the library use gem from the command line: gem install flt Then require the library in your code (if it fails you may need to `require 'rubygems'` first) ```ruby require 'flt' include Flt ``` Now we can use the DecNum class simply like this: ```ruby puts DecNum(1)/DecNum(3) # -> 0.3333333333333333333333333333 ``` DecNum() is a constructor that can be used instead of DecNum.new() ## Contexts Contexts are environments for arithmetic operations. They govern precision, set rules for rounding, determine which signals are treated as exceptions, and limit the range for exponents. Each thread has an active context that can be accessed like this: ```ruby puts DecNum.context.precision # -> 28 ``` The active context can be modified globally for the current thread: ```ruby DecNum.context.precision = 2 puts DecNum.context.precision # -> 2 puts DecNum(1)/DecNum(3) # -> 0.33 DecNum.context.precision += 7 puts DecNum.context.precision # -> 9 puts DecNum(1)/DecNum(3) # -> 0.333333333 ``` Or it can be altered locally inside a block: ```ruby DecNum.context do DecNum.context.precision = 5 puts DecNum.context.precision # -> 5 end puts DecNum.context.precision # -> 9 ``` The block for a local context can be passed the current context as an argument: ```ruby DecNum.context do |local_context| local_context.precision = 5 puts DecNum.context.precision # -> 5 end puts DecNum.context.precision # -> 9 ``` A context object can also be used to define the local context: ```ruby my_context = DecNum::Context(precision: 20) DecNum.context(my_context) do |context| puts context.precision end # -> 20 ``` And individual parameters can be assigned like this: ```ruby puts DecNum.context.precision # -> 9 puts DecNum.context.rounding # -> half_even DecNum.context(rounding: :down) do |context| puts context.precision # -> 9 puts context.rounding # -> down end ``` Contexts created with the `DecNum::Context()` constructor inherit from DecNum::DefaultContext. Default context attributes can be established by modifying that object: ```ruby DecNum::DefaultContext.precision = 10 DecNum.context = DecNum::Context(rounding: :half_up) puts DecNum.context.precision # -> 10 ``` Note that a context object assigned to DecNum.context is copied, so it is not altered through DecNum.context: ```ruby puts my_context.precision # -> 20 DecNum.context = my_context DecNum.context.precision = 2 puts my_context.precision # -> 20 ``` So, DefaultContext is not altered when modifying DecNum.context. Methods that use a context have an optional parameter to override the active context (`DecNum.context`) : ```ruby DecNum.context.precision = 3 puts DecNum(1).divide(3) # -> 0.333 puts DecNum(1).divide(3, my_context) # -> 0.33333333333333333333 ``` Individual context parameters can also be overriden: ```ruby puts DecNum(1).divide(3, precision: 6) # -> 0.333333 ``` There are two additional predefined contexts `DecNum::ExtendedContext` and DecNum::BasicContext that are not meant to be modified; they can be used to achieve reproducible results. We will use `DecNum::ExtendedContext` in the following examples: ```ruby DecNum.context = DecNum::ExtendedContext ``` Most decimal operations can be executed by using either Context or DecNum methods: ```ruby puts DecNum.context.exp(1) # -> 2.71828183 puts DecNum(1).exp # -> 2.71828183 ``` If using Context methods, values are automatically converted as if the DecNum() constructor was used. ## Rounding Results are normally rounded using the precision (number of significant digits) and rounding mode defined in the context. ```ruby DecNum.context.precision = 4 puts DecNum(1)/DecNum(3) # -> 0.3333 puts DecNum('1E20')-DecNum('1E-20') # -> 1.000E+20 DecNum.context.rounding = :half_up puts +DecNum('100.05') # -> 100.1 DecNum.context.rounding = :half_even puts +DecNum('100.05') # -> 100.0 ``` Note that input values are not rounded, only results; we use the plus operator to force rounding here: ```ruby DecNum.context.precision = 4 x = DecNum('123.45678') puts x # -> 123.45678 puts +x # -> 123.5 ``` Precision can be also set to 'exact' to avoid rounding, by using the exact property or using a 0 precision. In exact mode results are never rounded and results that have an infinite number of digits trigger the `DecNum::Inexact` exception. ```ruby DecNum.context.exact = true puts DecNum('1E20')-DecNum('1E-20') # -> 99999999999999999999.99999999999999999999 puts DecNum(16).sqrt # -> 4 puts DecNum(16)/DecNum(4) # -> 4 puts DecNum(1)/DecNum(3) # -> Exception : Flt::Num::Inexact DecNum.context.precision = 5 puts DecNum('1E20')-DecNum('1E-20') # -> 1.0000E+20 puts DecNum(16).sqrt # -> 4 puts DecNum(16)/DecNum(4) # -> 4 puts DecNum(1)/DecNum(3) # -> 0.33333 ``` There are also some methods for explicit rounding that provide an interface compatible with that of the Ruby `Float` class: ```ruby puts DecNum('101.5').round # -> 102 puts DecNum('101.5').round(0) # -> 102 puts DecNum('101.12345').round(2) # -> 101.12 puts DecNum('101.12345').round(-1) # -> 1.0E+2 puts DecNum('101.12345').round(places: 2) # -> 101.12 puts DecNum('101.12345').round(precision: 2) # -> 1.0E+2 puts DecNum('101.5').round(rounding: :half_up) # -> 102 puts DecNum('101.5').ceil # -> 102 puts DecNum('101.5').floor # -> 101 puts DecNum('101.5').truncate # -> 101 ``` ## Special values In addition to finite numbers, a DecNum object can represent some special values: * Infinity (+Infinity, -Infinity). The method DecNum#infinite? returns true for these to values. DecNum.infinity DecNum.infinity(-1) can be used to get these values. * NaN (not a number) represents undefined results. The method DecNum#nan? returns true for it and DecNum.nan can be used to obtain it. There is a variant, sNaN (signaling NaN) that causes an invalid operation condition if used; it can be detected with DecNum.snan?. A NaN can also include diagnostic information in its sign and coefficient. Any of the special values can be detected with DecNum#special? Finite numbers can be clasified with these methods: * DecNum#zero? detects a zero value (note that there are two zero values: +0 and -0) * DecNum#normal? detects normal values: those whose adjusted exponents are not less than @emin@. * DecNum#subnormal? detects subnormal values: those whose adjusted exponents are less than @emin@. ## Exceptions Exceptional conditions that may arise during operations have corresponding classes that represent them: * DecNum::InvalidOperation * DecNum::DivisionByZero * DecNum::DivisionImpossible * DecNum::DivisionUndefined * DecNum::Inexact * DecNum::Overflow * DecNum::Underflow * DecNum::Clamped * DecNum::InvalidContext * DecNum::Rounded * DecNum::Subnormal * DecNum::ConversionSyntax For each condition, a flag and a trap (boolean values) exist in the context. When a condition occurs, the corresponding flag in the context takes the value true (and remains set until cleared) and a exception is raised if the corresponding trap has the value true. ```ruby DecNum.context.traps[DecNum::DivisionByZero] = false DecNum.context.flags[DecNum::DivisionByZero] = false puts DecNum(1)/DecNum(0) # -> Infinity puts DecNum.context.flags[DecNum::DivisionByZero] # -> true DecNum.context.traps[DecNum::DivisionByZero] = true puts DecNum(1)/DecNum(0) # -> Exception : Flt::Num::DivisionByZero ``` ## Numerical conversion By default, `DecNum` is interoperable with `Integer` and `Rational`. Conversion happens automatically to operands: ```ruby puts DecNum('0.1') + 1 # -> 1.1 puts 7 + DecNum('0.2') # -> 7.2 puts Rational(5,2) + DecNum('3') # -> 5.5 ``` Conversion can also be done explicitly with the DecNum constructor: ```ruby puts DecNum(7) # -> 7 puts DecNum(Rational(1,10)) # -> 0.1 ``` Converting a `DecNum` to other numerical types can be done with specific Ruby-style methods. (note the truncated result of `to_i`) ```ruby puts DecNum('1.1').to_i # -> 1 puts DecNum('1.1').to_r # -> 11/10 ``` Or with a generic method: ```ruby puts DecNum('1.1').convert_to(Integer) # -> 1 puts DecNum('1.1').convert_to(Rational) # -> 11/10 ``` Thera are also GDAS style conversion operations: ```ruby puts DecNum('1.1').to_integral_value # -> 1 ``` And conversion is also possible to `Float`: ```ruby puts DecNum('1.1').to_f # -> 1.1 puts DecNum('1.1').convert_to(Float) # -> 1.1 puts Float(DecNum('1.1')) # -> 1.1 ``` Types with predefined bidirectional conversion (`Integer` and `Rational`) can be operated with `DecNum` on either side of an operator, and the result will be a `DecNum`. For `Float` there is no predefined bidirectional conversion (see below how to define it) and the result of an operation between `DecNum` and `Float` will be of type `Float`. ```ruby puts (DecNum('1.1') + 2.0).class # -> Float puts (2.0 + DecNum('1.1')).class # -> Float ``` The conversion system is extensible. For example, we can include BigDecimal into it by defining suitable conversion procedures: ```ruby DecNum.context.define_conversion_from(BigDecimal) do |x, context| DecNum(x.to_s) end DecNum.context.define_conversion_to(BigDecimal) do |x| BigDecimal(x.to_s) end ``` Now we can mix `BigDecimals` and `Decimals` in expressions and convert from `DecNum` to `BigDecimal`: ```ruby puts BigDecimal('1.1') + DecNum('2.2') # -> 3.3 puts DecNum('1.1').convert_to(BigDecimal) # -> 0.11E1 ``` Note that the conversions are defined in a `Context` object and will be available only when that context applies. That way we can define conversions for specific purposes without affecting a program globally. As another example consider conversion from Float to DecNum, which is not defined by default because it can be defined in different ways depending on the purpose. A `Float` constant such as 0.1 defines a `Float` object which has a numerical value close to, but not exactly 1/10. When converting that `Float` to `DecNum` we could decide to preserve the exact numerical value of the number or try to find a simple decimal expression within a given tolerance. If we take the first approach we can define this conversion: ```ruby DecNum.context.define_conversion_from(Float) do |x, context| s,e = Math.frexp(x) s = Math.ldexp(s, Float::MANT_DIG).to_i e -= Float::MANT_DIG DecNum(s*(Float::RADIX**e)) end ``` Note that the conversion we've defined depends on the context precision: ```ruby DecNum.local_context(precision: 20) { puts DecNum(0.1) } # -> 0.10000000000000000555 DecNum.local_context(precision: 12) { puts DecNum(0.1) } # -> 0.100000000000 DecNum.local_context(exact: true) { puts DecNum(0.1) } # -> 0.1000000000000000055511151231257827021181583404541015625 ``` A different approach for Float to DecNum conversion is to find the shortest (fewer digits) DecNum that rounds to the Float with the binary precision that the Float has. We will assume that the DecNum to Float conversion done with the rounding mode of the DecNum context. The BinNum class has a method to perform this kind of conversion, so we will use it. ```ruby DecNum.context.define_conversion_from(Float) do |x, dec_context| BinNum.context(:rounding=>dec_context.rounding) do |bin_context| BinNum(x).to_decimal end end ``` The result is independent of the context precision. ```ruby puts DecNum(0.1) # -> 0.1 puts DecNum(1.0/3) # -> 0.3333333333333333 ``` This conversion gives the results expected most of the time, but it must be noticed that there must be some compromise, because different decimal literals convert to the same `Float` value: ```ruby puts DecNum(0.10000000000000001) # -> 0.1 ``` There's also some uncertainty because the way the Ruby interpreter parses Float literals may not be well specified; in the usual case (IEEE Double Floats and round-to-even) the results will be as expected (correctly rounded Floats), but some platforms may behave differently. The `BinNum` also a instance method `to_decimal_exact` to perform the previous 'exact' conversion, that could have be written: ```ruby DecNum.context.define_conversion_from(Float) do |x, context| DecNum.context(context) do BinNum(x).to_decimal_exact end end ``` ## Abbreviation The use of DecNum can be made less verbose by requiring: ```ruby require 'flt/d' ``` This file defines `D` as a synonym for `DecNum`: ```ruby D.context.precision = 3 puts +D('1.234') # -> 1.23 ``` Some convenient methods are added to numeric classes by requiring the optional [flt/sugar.rb](lib/flt/sugar_rb.html). This must be explicitely required because it could cause conflicts with other extensions of these classes. ```ruby require 'flt/sugar' puts 34.odd? # -> false puts 34.even? # -> true puts 0.1.split.inspect # -> [1, 7205759403792794, -56] puts (-0.1).sign # -> -1 ``` A shortcut notation for DecNum is defined in this file (based on an idea by [coderrr](http://coderrr.wordpress.com) which allows exact definitions with almost literal decimal syntax (note the underscore after the dot.) ```ruby puts 10._123456789123456789 # -> 10.123456789123456789 ``` Additional underscores can be used to separate digits at any place except before the decimal point: ```ruby puts 100_000._000_001 # -> 100000.000001 puts 100_000._000_001.class # -> Flt::DecNum ``` But note that `100_000.000_001` is a valid `Float` (it's not a `DecNum` because there isn't an underscore just after the decimal point): ```ruby puts 100_000.000_001 # -> 100000.000001 puts 100_000.000_001.class # -> Float ``` There's also one important caveat with this notation: negative numbers with a zero integral part must be parenthesed (otherwise the minus has no effect because it affects only the null integer part): ```ruby puts -0._5 # -> 0.5 puts -(0._5) # -> -0.5 ``` ## Error analysis The DecNum#ulp() method returns the value of a "unit in the last place" for a given number under the current context. ```ruby D.context.precision = 4 puts D('1.5').ulp # -> 0.001 puts D('1.5E10').ulp # -> 1E+7 ``` Whe can compute the error in ulps of an approximation `aprx` to correclty rounded value `exct` with: ```ruby def ulps(exct, aprx) (aprx-exct).abs/exct.ulp end puts ulps(DecNum('0.5000'), DecNum('0.5003')) # -> 3 puts ulps(DecNum('0.5000'), DecNum('0.4997')) # -> 3 puts ulps(DecNum('0.1000'), DecNum('0.1003')) # -> 3E+1 puts ulps(DecNum('0.1000'), DecNum('0.0997')) # -> 3E+1 puts ulps(DecNum(1), DecNum(10).next_minus) # -> 8.999E+4 puts ulps(DecNum(1), DecNum(10).next_plus) # -> 9.01E+4 ``` Note that in the definition of ulps we use exct.ulp. If we had use aprx.ulp DecNum(10).next_plus would seem to be a better approximation to DecNum(1) than DecNum(10).next_minus. (Admittedly, such bad approximations should not be common.) ## BinNum Input/Output BinNum can be defined with a decimal string literal and converted to one with to_s, as DecNum, but since this involves a change of base these are inexact operations subject to some specific precision limits. If we define the number with a binary literal, no base conversion is involved and the result is exactly defined; here we define a number with just one bit of precision: ```ruby x = BinNum('0.001', base: 2) puts x.number_of_digits # -> 1 puts x.to_s(base: 2) # -> 0.001 ``` Note that we could have defined it with more precision, e.g. ```ruby y = BinNum('0.001000', base: 2) puts y.number_of_digits # -> 4 puts y.to_s(base: 2) # -> 0.001000 ``` But let's get back to our one bit quantity, x, and convert it to a decimal string. Since the internal precision is only one bit it contains very little information: ```ruby puts x # -> 0.1 ``` We can obtain more digits with the :all_digits option which show all the decimal digits that are significative for the given precision of 1 bit: ```ruby puts x.to_s(all_digits: true) # -> 0.12 ``` We can also obtain the exact value of x by using the Num.convert_exact method to convert it to decimal (base 10): ```ruby puts Num.convert_exact(x,10) # -> 0.125 ``` Let's convert the default decimal output back to another BinNum which will preserve its precision: ```ruby y = BinNum(x.to_s) ``` The result may seem ok: ```ruby puts y # -> 0.1 ``` But is not exactly what we originally had: ```ruby puts y==x # -> false puts y # -> 0.1 puts y.number_of_digits # -> 5 puts y.to_s(base: 2) # -> 0.00011010 ``` The new value y has gained some digits because of the intermediate conversion to decimal: one decimal digit contains more information than one bit, and the result shows that. If we wanted to preserve exactly the number we should have done this: ```ruby y = BinNum(x.to_s, :fixed, precision: x.number_of_digits) puts y==x # -> true ``` To preserve the value we had to explicitly determine how many bits should y have. With the :fixed options the number produced by BinNum is rounded to the context precision (which can be overriden as in the example by other options): ```ruby puts BinNum(x.to_s, :fixed, precision: 32).to_s(base: 2) # -> 0.00011001100110011001100110011001101 puts BinNum(x.to_s, :fixed, precision: 1).to_s(base: 2) # -> 0.001 ``` Note also that if we normalize a value we will change it's precision to that of the context: ```ruby puts x.number_of_digits # -> 1 puts x.normalize.number_of_digits # -> 53 puts x.normalize.to_s # -> 0.125 ``` ## Mathematical functions There are two mathematical functions modules analogous to Ruby's Math for Float, Flt::DecNum::Math and Flt::BinNum::Math. Currently they consist of basic trigonometric functions, including hypot, logarithms and the exponential function, and the constants e and pi. Its functions can be accessed in a number of ways: ```ruby require 'flt/math' DecNum.context(precision: 10) do |context| # As module functions, using the current context for the enclosing Num class: puts DecNum::Math.sin(1)*DecNum::Math.pi # -> 2.643559064 # As functions of a context object: puts context.sin(1)*context.pi # -> 2.643559064 # Through a math block: puts DecNum.context.math{sin(1)*pi} # -> 2.643559064 puts DecNum.math{sin(1)*pi} # -> 2.643559064 # And can be *included* to be used as private instance methods: include DecNum::Math puts sin(1)*pi # -> 2.643559064 end ``` ## More Information * Decimal Floating point type: see the base Flt::Num class and the Flt::DecNum class * Binary Floating point type: see the base Flt::Num class and the Flt::BinNum class * Floating Point Contexts: see documentation for classes Flt::Num::ContextBase, Flt::DecNum::Context and Flt::BinNum::Context * Floating Point Tolerance: see the [flt/tolerance.rb](lib/flt/tolerance_rb.html) file and the Flt::Tolerance class * Constructors: see Flt.DecNum(), Flt.BinNum() and Flt.Tolerance(). * Trigonometry functions: see Flt::Trigonometry. * Complex number support: see the [flt/complex.rb](lib/flt/complex_rb.html) file # DecNum vs BigDecimal DecNum solves some of the difficulties of using BigDecimal. One of the major problems with BigDecimal is that it's not easy to control the number of significant digits of the results. While addition, subtraction and multiplication are exact (unless a limit is used), divisions will need to be passed precision explicitly or else an indeterminate number of significant digits will be lost. Part of the problem is that numbers don't keep track of its precision (0.1000 is not distinguishable from 0.1.) With DecNum, Context objects are used to specify the exact number of digits to be used for all operations making the code cleaner and the results more easily predictable. ```ruby DecNum.context.precision = 10 puts DecNum(1)/DecNum(3) ``` Contexts are thread-safe and can be used for individual operations: ```ruby puts DecNum(1).divide(DecNum(e), DecNum::Context(precision: 4)) ``` Which can be abbreviated: ```ruby puts DecNum(1).divide(DecNum(e), precision: 4) ``` Or use locally in a block without affecting other code: ```ruby DecNum.context { DecNum.context.precision = 3 puts DecNum(1)/DecNum(3) } puts DecNum.context.precision ``` Which can also be abbreviated: ```ruby DecNum.context(precision: 3) { puts DecNum(1)/DecNum(3) } ``` This allows in general to write simpler code; e.g. this is an exponential function, adapted from the 'recipes' in Python's Decimal: ```ruby def exp(x, c=nil) i, lasts, s, fact, num = 0, 0, 1, 1, 1 DecNum.context(c) do |context| context.precision += 2 while s != lasts lasts = s i += 1 fact *= i num *= x s += num / fact end end return +s end ``` The final unary + applied to the result forces it to be rounded to the current precision (because we have computed it with two extra digits) The result of this method does not have trailing non-significant digits, as is common with BigDecimal (e.g. in the exp implementation available in the standard Ruby library, in bigdecimal/math) # Roadmap * Trigonometry optimizations * Implement the missing GDA functions: rotate, shift, trim, and, or, xor, invert, max, min, maxmag, minmag, comparetotal, comparetotmag