What s wrong with using to compare floats in Java

Question

According to this java sun page    is the equality comparison operator for floating point numbers in Java   However  when I type this code   if sectionID    currentSectionID    into my editor and run static analysis  I get   JAVA0078 Floating point values compared with      What is wrong with using    to compare floating point values   What is the correct way to do it  nbsp

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If you  have to  use floats  strictfp keyword may be useful   http   en wikipedia org wiki strictfp

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First of all  are they float or Float  If one of them is a Float  you should use the equals   method  Also  probably best to use the static Float compare method

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You can use Float floatToIntBits      Float floatToIntBits sectionID     Float floatToIntBits currentSectionID

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In addition to previous answers  you should be aware that there are strange behaviours associated with -0 0f and  0 0f  they are    but not equals  and Float NaN  it is equals but not      hope I ve got that right - argh  don t do it     Edit  Let s check   import static java lang Float NaN  public class Fl       public static void main String   args            System err println           -0 0f                   0 0f        true         System err println new Float -0 0f  equals new Float 0 0f        false         System err println             NaN                    NaN        false         System err println new Float   NaN  equals new Float  NaN        true            Welcome to IEEE 754

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you may want it to be     but 123 4444444444443    123 4444444444442

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The following automatically uses the best precision          Compare to floats for  almost  equality  Will check whether they are    at most 5 ULP apart      public static boolean isFloatingEqual float v1  float v2        if  v1    v2          return true      float absoluteDifference   Math abs v1 - v2       float maxUlp   Math max Math ulp v1   Math ulp v2        return absoluteDifference  lt  5   maxUlp      Of course  you might choose more or less than 5 ULPs     unit in the last place       If you   re into the Apache Commons library  the Precision class has compareTo   and equals   with both epsilon and ULP

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Here is a very long  but hopefully useful  discussion about this and many other floating point issues you may encounter  What Every Computer Scientist Should Know About Floating-Point Arithmetic

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I think there is a lot of confusion around floats  and doubles   it is good to clear it up    There is nothing inherently wrong in using floats as IDs in standard-compliant JVM      If you simply set the float ID to x  do nothing with it  i e  no arithmetics  and later test for y    x  you ll be fine  Also there is nothing wrong in using them as keys in a HashMap  What you cannot do is assume equalities like x     x - y    y  etc  This being said  people usually use integer types as IDs  and you can observe that most people here are put off by this code  so for practical reasons  it is better to adhere to conventions  Note that there are as many different double values as there are long values  so you gain nothing by using double  Also  generating  next available ID  can be tricky with doubles and requires some knowledge of the floating-point arithmetic  Not worth the trouble  On the other hand  relying on numerical equality of the results of two mathematically equivalent computations is risky  This is because of the rounding errors and loss of precision when converting from decimal to binary representation  This has been discussed to death on SO        When I said  standard-compliant JVM  I wanted to exclude certain brain-damaged JVM implementations  See this

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The correct way would be  java lang Float compare float1  float2

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Are you dealing with outsourced code that would use floats for things named sectionID and currentSectionID  Just curious    Bill K   The binary representation of a float is kind of annoying   How so  How would you do it better  There are certain numbers that cannot be represented in any base properly  because they never end  Pi is a good example  You can only approximate it  If you have a better solution  contact Intel

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As of today  the quick  amp  easy way to do it is    if  Float compare sectionID  currentSectionID     0          However  the docs  do not clearly specify the value of the margin difference   an epsilon  from  Victor  s answer  that is always present in calculations on floats  but it should be something reasonable as it is a part of the standard language library     Yet if a higher or customized precision is needed  then   float epsilon   Float MIN NORMAL    if Math abs sectionID - currentSectionID   lt  epsilon         is another solution option

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Foating point values are not reliable  due to roundoff error   As such they should probably not be used for as key values  such as sectionID   Use integers instead  or long if int doesn t contain enough possible values

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the correct way to test floats for  equality  is   if Math abs sectionID - currentSectionID   lt  epsilon    where epsilon is a very small number like 0 00000001  depending on the desired precision

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One way to reduce rounding error is to use double rather than float  This won t make the problem go away  but it does reduce the amount of error in your program and float is almost never the best choice  IMHO

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This is a problem not specific to java   Using    to compare two floats doubles any decimal type number can potentially cause problems because of the way they are stored  A single-precision float  as per IEEE standard 754  has 32 bits  distributed as follows   1 bit - Sign  0   positive  1   negative  8 bits - Exponent  a special  bias-127  representation of the x in 2 x  23 bits - Mantisa   The actuall number that is stored   The mantisa is what causes the problem   It s kinda like scientific notation  only the number in base 2  binary  looks like 1 110011 x 2 5 or something similar  But in binary  the first 1 is always a 1  except for the representation of 0   Therefore  to save a bit of memory space  pun intended   IEEE deccided that the 1 should be assumed   For example  a mantisa of 1011 really is 1 1011   This can cause some issues with comparison  esspecially with 0 since 0 cannot possibly be represented exactly in a float  This is the main reason the    is discouraged  in addition to the floating point math issues described by other answers   Java has a unique problem in that the language is universal across many different platforms  each of which could have it s own unique float format   That makes it even more important to avoid      The proper way to compare two floats  not-language specific mind you  for equality is as follows   if ABS float1 - float2   lt  ACCEPTABLE ERROR        they are approximately equal   where ACCEPTABLE ERROR is  defined or some other constant equal to 0 000000001 or whatever precision is required  as Victor mentioned already   Some languages have this functionality or this constant built in  but generally this is a good habit to be in

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What is wrong with using    to compare floating point values    Because it s not true that 0 1   0 2    0 3

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Floating point values can be off by a little bit  so they may not report as exactly equal   For example  setting a float to  6 1  and then printing it out again  you may get a reported value of something like  6 099999904632568359375    This is fundamental to the way floats work  therefore  you don t want to compare them using equality  but rather comparison within a range  that is  if the diff of the float to the number you want to compare it to is less than a certain absolute value   This article on the Register gives a good overview of why this is the case  useful and interesting reading

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As mentioned in other answers  doubles can have small deviations  And you could write your own method to compare them using an  acceptable  deviation  However      There is an apache class for comparing doubles  org apache commons math3 util Precision  It contains some interesting constants  SAFE MIN and EPSILON  which are the maximum possible deviations of simple arithmetic operations   It also provides the necessary methods to compare  equal or round doubles   using ulps or absolute deviation

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Just to give the reason behind what everyone else is saying   The binary representation of a float is kind of annoying   In binary  most programmers know the correlation between 1b 1d  10b 2d  100b 4d  1000b 8d  Well it works the other way too    1b  5d   01b  25d   001b  125       The problem is that there is no exact way to represent most decimal numbers like  1   2   3  etc   All you can do is approximate in binary   The system does a little fudge-rounding when the numbers print so that it displays  1 instead of  10000000000001 or  999999999999  which are probably just as close to the stored representation as  1 is   Edit from comment   The reason this is a problem is our expectations   We fully expect 2 3 to be fudged at some point when we convert it to decimal  either  7 or  67 or  666667    But we don t automatically expect  1 to be rounded in the same way as 2 3--and that s exactly what s happening   By the way  if you are curious the number it stores internally is a pure binary representation using a binary  Scientific Notation    So if you told it to store the decimal number 10 75d  it would store 1010b for the 10  and  11b for the decimal   So it would store  101011 then it saves a few bits at the end to say  Move the decimal point four places right      Although technically it s no longer a decimal point  it s now a binary point  but that terminology wouldn t have made things more understandable for most people who would find this answer of any use

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Two different calculations which produce equal real numbers do not necessarily produce equal floating point numbers   People who use    to compare the results of calculations usually end up being surprised by this  so the warning helps flag what might otherwise be a subtle and difficult to reproduce bug

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In one line answer I can say  you should use   Float floatToIntBits sectionID     Float floatToIntBits currentSectionID    To make you learned more about using related operators correctly  I am elaborating some cases here  Generally  there are three ways to test strings in Java  You can use      equals     or Objects equals      How are they different     tests for the reference quality in strings meaning finding out whether the two objects are the same  On the other hand   equals    tests whether the two strings are of equal value logically  Finally  Objects equals    tests for any nulls in the two strings then determine whether to call  equals      Ideal operator to use  Well this has been subject to lots of debates because each of the three operators have their unique set of strengths and weaknesses  Example     is often a preferred option when comparing object reference  but there are cases where it may seem to compare string values as well   However  what you get is a falls value because Java creates an illusion that you are comparing values but in the real sense you are not  Consider the two cases below   Case 1   String a  Test   String b  Test   if a  b      gt  true   Case 2   String nullString1   null  String nullString2   null    evaluates to true nullString1    nullString2    throws an exception nullString1 equals nullString2     So  it   s way better to use each operator when testing the specific attribute it   s designed for  But in almost all cases  Objects equals    is a more universal operator thus experience web developers opt for it   Here you can get more details  http   fluentthemes com use-compare-strings-java

[java] What's wrong with using == to compare floats in Java?

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