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Feature #8700

closed

Integer#bitsize (actually Fixnum#bitsize and Bignum#bitsize)

Added by akr (Akira Tanaka) over 10 years ago. Updated over 10 years ago.

Status:
Closed
Assignee:
-
Target version:
-
[ruby-core:56247]

Description

How about adding Integer#bitsize (actually Fixnum#bitsize and Bignum#bitsize)?

Integer#bitsize returns the position of the most significant bit in the absolute value.
(The position of the least significant bit is 1.)
It returns 0 if no bit set (i.e. the value 0).

Mathematically, n.bitsize is ceil(log2(abs(n)+1)).

Sometimes we want to know the size of a integer.

  • Determine the size of an integer in some format.
    Although there are various formats, bitsize is a key property to determine the result size.
    Several examples:

  • bitsize may be used to estimate the time or space cost of an algorithm.
    For example, the result size of integer multiplication, x*y, is x.bitsize + y.bitsize.
    The number of comparisons of binary search is sorted_array.length.bitsize, etc.
    This is because n.bitsize is an approximation of log2(abs(n)).
    So Math.log2 can be used for this purpose too.
    However bitsize may be preferable if floating point error is not desirable.

There are several software which has similar feature.

I think there are two concerns for this issue.

  • method name
  • behavior for zero and negative number

I named the method as bitsize, mainly because
there is Fixnum#size and Bignum#size.
However I'm open for other names such as:

  • bitlength
  • numbits
  • ilog2
  • maxbit
    Some names may suggest different behavior, though.

The behavior for zero and negative number is not trivial.

Python adopts ceil(log2(abs(n)+1)) but
Java and Mathematica adopts ceil(log2(n < 0 ? -n : n+1)).
The difference is absolute number v.s. 2's complement number.

Some people may prefer ilog2, which name suggests ilog2(0) raise an error.

I choose ceil(log2(abs(n)+1)). (i.e. absolute number, same as Python).
I think absolute number is easier to understand than 2's complement for many people.

I attached the implementation as bitsize.patch.
The patch implements both Bignum#bitsize and Fixnum#bitsize in bignum.c.
It is because Fixnum#bitsize uses bitsize macro and it is defined in bignum.c.
Maybe, the macro should be moved to internal.h and the implementation of
Fixnum#bitsize should be moved to numeric.c.

Any comments?


Files

bitsize.patch (4.88 KB) bitsize.patch akr (Akira Tanaka), 07/28/2013 10:56 PM
bitlength.patch (4.94 KB) bitlength.patch akr (Akira Tanaka), 08/01/2013 08:47 PM
bit_length.patch (4.59 KB) bit_length.patch akr (Akira Tanaka), 08/05/2013 09:48 PM

Updated by headius (Charles Nutter) over 10 years ago

+1.

"bitlength" seems more in line with other platforms. Also, Fixnum#size represents octet size, not bit size.

For zero, bitlength == 0, always.

For negative numbers...we either decide to always return the bit length for a specific representation (two's complement or something else) or we provide a way to also query the representation. I prefer the former.

Updated by phluid61 (Matthew Kerwin) over 10 years ago

headius (Charles Nutter) wrote:

+1.

"bitlength" seems more in line with other platforms. Also, Fixnum#size represents octet size, not bit size.

For zero, bitlength == 0, always.

For negative numbers...we either decide to always return the bit length for a specific representation (two's complement or something else) or we provide a way to also query the representation. I prefer the former.

Alternatively, although no one else does it, the bitlength of a negative number could be negative the bitlength of the absolute value. E.g -1.bitlength==-1, -7.bitlength==-3

Updated by akr (Akira Tanaka) over 10 years ago

akr (Akira Tanaka) wrote:

There are several software which has similar feature.

I look out more.

They behaves on negative values for absolute value or two's complement as follows.

absolute value, ceil(log2(abs(n)+1)):
Python (bit_length)
Go (BitLen)
GMP (mpz_sizeinbase)
OpenSSL (BN_num_bits)
LibTomMath (mp_count_bits)
gcrypt (gcry_mpi_get_nbits)

two's complement, ceil(log2(n < 0 ? -n : n+1)):
Java (bitLength)
Scala (bitLength)
Mathematica (BitLength)
CommonLisp (integer-length)
CLN (integer_length)

It seems "bit length" is more common than other names.
So I changed the method name to "bitlength".

Both absolute value and two's complement are common.
I think it's difficult to say one is better.
(My patch's bitlength is absolute value.)

How do you think, matz?

Updated by akr (Akira Tanaka) over 10 years ago

I updated the patch because I change the method name to bit_length.
(I added an under score.)

Updated by akr (Akira Tanaka) over 10 years ago

akr (Akira Tanaka) wrote:

  • bitsize may be used to estimate the time or space cost of an algorithm.
    For example, the result size of integer multiplication, x*y, is x.bitsize + y.bitsize.
    The number of comparisons of binary search is sorted_array.length.bitsize, etc.
    This is because n.bitsize is an approximation of log2(abs(n)).
    So Math.log2 can be used for this purpose too.
    However bitsize may be preferable if floating point error is not desirable.

I found another reason bit_length is preferable over Math.log2.

Math.log2(n) returns Infinity when n is not representable as double.

% ./ruby -e 'n = 3**4; 10.times { n = n * n; p [n.class, n.size*8, n.bit_length, Math.log2(n)] }'
[Fixnum, 64, 13, 12.679700005769249]
[Fixnum, 64, 26, 25.359400011538497]
[Fixnum, 64, 51, 50.718800023076994]
[Bignum, 104, 102, 101.43760004615399]
[Bignum, 208, 203, 202.87520009230798]
[Bignum, 408, 406, 405.75040018461596]
[Bignum, 816, 812, 811.5008003692319]
[Bignum, 1624, 1624, Infinity]
[Bignum, 3248, 3247, Infinity]
[Bignum, 6496, 6493, Infinity]

Updated by matz (Yukihiro Matsumoto) over 10 years ago

Accepted. It should be work as 2's complement for negative numbers.

Matz.

Actions #7

Updated by akr (Akira Tanaka) over 10 years ago

  • Status changed from Open to Closed
  • % Done changed from 0 to 100

This issue was solved with changeset r42746.
Akira, thank you for reporting this issue.
Your contribution to Ruby is greatly appreciated.
May Ruby be with you.


Updated by fuadksd (Fuad Saud) over 10 years ago

I like it. Pretty neat for low level bit brushing stuff.

--
Fuad Saud
Sent with Sparrow (http://www.sparrowmailapp.com/?sig)

On Saturday, August 31, 2013 at 3:47 AM, matz (Yukihiro Matsumoto) wrote:

Issue #8700 has been updated by matz (Yukihiro Matsumoto).

Accepted. It should be work as 2's complement for negative numbers.

Matz.


Feature #8700: Integer#bitsize (actually Fixnum#bitsize and Bignum#bitsize)
https://bugs.ruby-lang.org/issues/8700#change-41474

Author: akr (Akira Tanaka)
Status: Open
Priority: Normal
Assignee:
Category:
Target version:

How about adding Integer#bitsize (actually Fixnum#bitsize and Bignum#bitsize)?

Integer#bitsize returns the position of the most significant bit in the absolute value.
(The position of the least significant bit is 1.)
It returns 0 if no bit set (i.e. the value 0).

Mathematically, n.bitsize is ceil(log2(abs(n)+1)).

Sometimes we want to know the size of a integer.

  • Determine the size of an integer in some format.
    Although there are various formats, bitsize is a key property to determine the result size.
    Several examples:

  • If a format is 4 bytes for absolute value, it overflows if 32 <= n.bitsize.

  • If a format is 4 bytes for sign bit with absolute value, it overflows if 31 <= n.bitsize.

  • If a format is 4 bytes for 2's complement format, it overflow if 31 <= n.bitsize && n != -2**31.

  • BER-compressed integer needs (n.bitsize+6)/7 bytes when n > 0.
    BER-compressed integer is an example of VLQ.
    http://en.wikipedia.org/wiki/Variable-length_quantity

  • Elias gamma coding needs 2*n.bitsize-1 bits.
    https://en.wikipedia.org/wiki/Elias_gamma_coding

  • Elias delta coding needs 2*n.bitsize.bitsize+n.bitsize-2 bits.
    https://en.wikipedia.org/wiki/Elias_delta_coding

  • bitsize may be used to estimate the time or space cost of an algorithm.
    For example, the result size of integer multiplication, x*y, is x.bitsize + y.bitsize.
    The number of comparisons of binary search is sorted_array.length.bitsize, etc.
    This is because n.bitsize is an approximation of log2(abs(n)).
    So Math.log2 can be used for this purpose too.
    However bitsize may be preferable if floating point error is not desirable.

There are several software which has similar feature.

I think there are two concerns for this issue.

  • method name
  • behavior for zero and negative number

I named the method as bitsize, mainly because
there is Fixnum#size and Bignum#size.
However I'm open for other names such as:

  • bitlength
  • numbits
  • ilog2
  • maxbit
    Some names may suggest different behavior, though.

The behavior for zero and negative number is not trivial.

Python adopts ceil(log2(abs(n)+1)) but
Java and Mathematica adopts ceil(log2(n < 0 ? -n : n+1)).
The difference is absolute number v.s. 2's complement number.

Some people may prefer ilog2, which name suggests ilog2(0) raise an error.

I choose ceil(log2(abs(n)+1)). (i.e. absolute number, same as Python).
I think absolute number is easier to understand than 2's complement for many people.

I attached the implementation as bitsize.patch.
The patch implements both Bignum#bitsize and Fixnum#bitsize in bignum.c.
It is because Fixnum#bitsize uses bitsize macro and it is defined in bignum.c.
Maybe, the macro should be moved to internal.h and the implementation of
Fixnum#bitsize should be moved to numeric.c.

Any comments?

--
http://bugs.ruby-lang.org/

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