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Difference between >>> and >>
(9 answers)
Closed 5 years ago.
If the shifted number is positive >>> and >> work the same.
If the shifted number is negative >>> fills the most significant bits with 1s whereas >> operation shifts filling the MSBs with 0.
Is my understanding correct?
If the negative numbers are stored with the MSB set to 1 and not the 2s complement way that Java uses the the operators would behave entirely differently, correct?
The way negative numbers are represented is called 2's complement. To demonstrate how this works, take -12 as an example. 12, in binary, is 00001100 (assume integers are 8 bits though in reality they are much bigger). Take the 2's complement by simply inverting every bit, and you get 11110011. Then, simply add 1 to get 11110100. Notice that if you apply the same steps again, you get positive 12 back.
The >>> shifts in zero no matter what, so 12 >>> 1 should give you 00000110, which is 6, and (-12) >>> 1 should give you 01111010, which is 122. If you actually try this in Java, you'll get a much bigger number since Java ints are actually much bigger than 8 bits.
The >> shifts in a bit identical to the highest bit, so that positive numbers stay positive and negative numbers stay negative. 12 >> 1 is 00000110 (still 6) and (-12) >> 1 would be 11111010 which is negative 6.
Definition of the >>> operator in the Java Language Specification:
The value of n>>>s is n right-shifted s bit positions with zero-extension. If n is positive, then the result is the same as that of n>>s; if n is negative, the result is equal to that of the expression (n>>s)+(2<<~s) if the type of the left-hand operand is int, and to the result of the expression (n>>s)+(2L<<~s) if the type of the left-hand operand is long.
Just the opposite, the >>> fills with zeros while >> fills with ones if the h.o bit is 1.
Related
I have the following value:
int x = -51232;
Java integers are 32 bits, so in binary this should be the following:
10000000000000001100100000100000
The sign bit on the left is set to 1 since x is negative.
Then I do the operation
x = (x & Integer.MAX_VALUE);
Integer.MAX_VALUE is 2147483647 and in binary that would be:
01111111111111111111111111111111
0 on the left because the value is positive.
So why does x & Integer.MAX_VALUE yield 2147432416? The AND operator should only retrieve bits that x and Integer.MAX_VALUE have in common, which should be equivalent to -x (since they do not share the same sign bit).
What's going on here?
Your misunderstanding is caused by lack of knowledge regarding how negative integers are represented in binary in Java. You should read about 2's complement.
10000000000000001100100000100000 is not the binary representation of -51232.
11111111111111110011011111100000 is.
And when you run bitwise AND, you get:
11111111111111110011011111100000 (-51232)
01111111111111111111111111111111 (Integer.MAX_VALUE)
--------------------------------
01111111111111110011011111100000 (2147432416)
Here's the binary representation of -51232 next to the binary representation of 51232. You can see that their sum is 232. that's always the case with 2's complement, for any pair of ints x and -x.
00000000000000001100100000100000 (-51232)
11111111111111110011011111100000 (51232)
Integers are stored in two complement: https://en.m.wikipedia.org/wiki/Two%27s_complement.
Thus while the leftmost bit indicate negative numbers, it is not really a sign bit as it would be for floating point numbers in common representation.
The main reason of this representation is that it make it easy to do addition and substraction among other at the hardware level.
One should not that with two complement notation, -1 is represented by all bit set to 1.
This question already has answers here:
n & (n-1) what does this expression do? [duplicate]
(4 answers)
Closed 6 years ago.
I saw this efficiently written code at Leetcode.com
public static boolean isPowerOfTwo(int n) {
return n>0 && ((n&(n-1))==0);
}
This works awesomely fine but I am not able to figure out the working of single '&' in the code.
Can some onetake efforts to explain how the code works?
And by the same logic what would eb the code to determine if an integer is power of 3?
The single & is a bitwise 'and' operator (as opposed to &&, which acts on booleans).
So when you use & on two integers, the result is the logical 'and' of their binary representations.
This code works because any power of 2 will be a 1 followed by some number of 0s in binary (eg, 4 is 100, 8 is 1000, etc). Any power of 2, less one, will just be all 1s (eg. 3 is 11, 7 is 111).
So, if you take a power of 2, and bitwise and it with itself minus 1, you should just have 0. However, anything other than a power of 2 would give a non-zero answer.
Example:
1000 = 8
0111 = 7 (8-1), and '&'ing these gives
0000 = 0
However, if you had something like 6 (which isnt a power of 2):
110 = 6
101 = 5 (6-1), and '&'ing these gives
100 = 4 (which isnt equal to 0, so the code would return false).
I hope that makes it clear!
The & in Java is a bitwise and operator. It takes two integers and performs an and operation on each bit, producing an int where each bit is set to '1' if and only if that bit was '1' in both operands. The code uses the understanding that any power of two in binary is a '1' followed by some number of '0's. This means that subtracting one will change ALL the bits of the number. For any non power of two, there will be at least one nonzero digit after the first, so the first digit will remain the same. Since performing an AND on two different values always produces '0', ANDing the original number and itself minus one will produce 0 if and only if that number is a power of two. Because this is a trick with binary number specifically, it wouldn't work for finding powers of other bases.
To understand how this function works you need to understand how binary numbers are represented. If you don't I suggest reading a tutorial such as Learn Binary (the easy way).
So say we have a number, 8, and we want to find out if it's a power of two. Let's convert it to binary first: 1000. Now let's look at 8-1 = 7's binary form: 0111. The & operator is for binary AND. When we apply the AND operator to 8 and 7 we get:
1000
0111
&----
=0000
Every integer which is a power of 2 is a 1 followed by a non-negative amount of zeroes. When you subtract 1 from that number you will always get a 0 followed by a sequence of 1s. Since applying the AND operation to those two numbers will always give you 0, you can always verify if it's a power of 2. If the number is not a power of 2, when you subtract 1 from it it won't invert all of its digits and the AND test will produce a positive number (fail).
Its an bitwise operator :
if we take 2 exponent 3 equals to 8,
e.g 2³ = 2×2×2 = 8
now to calculate if 8 is a power of 2, it works like this:
n&(n-1) --> 8 AND (8-1) --> 1000 AND 0111 = 0000
thus it satisfies the condition --> (n&(n-1))==0
The single "&" performs a bitwise AND operation, meaning that in the result of A & B with A and B being integers only those bits will be set to 1 where both A and B have a 1.
For example, lets look a the number 16:
16 & (16 - 1) =
00010000 &
00001111 =
00000000
This works for powers of two because any power of two minus one will have all lower bits set, or in other words n bits can express n different values including zero, therefore (2^n)-1 is the highest value that can be expressed in n bits when they're all set.
I hope this helps.
Powers of three are a bit more problematic as our computers don't use ternary numbers. Basically a power of three is any ternary number that only has one digit different from zero and where that digit is a "1" just like in any other number system.
From the top of my head, I can't come up with anything more elegant than repeatedly doing modulo 3 until you reach one as a division result (in which case you'd have a power of three) or a nonzero modulo result (which would mean it's not a power of three).
Maybe this can help as well: http://www.tutorialspoint.com/computer_logical_organization/number_system_conversion.htm
I am having a problem with the Java modulus function.
For some reason the computer has -3 % 26 equal to -3 when it should equal 23, since the lowest multiple of 26 less than -3 is -26 and -3 - -26 is 23.
Also, if you add 26 to -3, which is essentially adding a modulus of 0, then the result should not change, and the result should become 23. Can anyone explain why Java has -3 % 26 == -3 and not 23 and how to fix this problem?
In the modulus logic the resulting values should be the remainder to get to 0. So when you say -3%26, the result is -3 as to add 3 to get to 0.
Mathematicians usually define the remainder when the integer a is divided by the positive integer b to be a - bq, where the quotient q is floor(a ÷ b). According to this definition, the remainder when -3 is divided by 26 is 23 as you rightly say.
However, the Java programming language defines remainder differently. Instead of using floor (i.e. rounding towards negative infinity), the rounding is done towards zero. This doesn't change the answer for positive values, but for negative a and positive b the Java answer is b smaller than the mathematicians' answer (unless b divides exactly into a, in which case everyone agrees the answer is 0). Therefore -3 % 26 == 23 - 26 == -3.
Java programmers usually call % the remainder operator, but you are correct that it is also commonly called the modulus operator. In Visual Basic it's even written Mod, but it works the same as % in C / C# / Java etc.
In my opinion, rounding towards zero rather than negative infinity is a mistake and it only makes life harder. For example, to test if an integer n is odd you ought to be able to do if (n % 2 == 1), but that doesn't work because if n is negative and odd the answer is -1. I don't know which language did it first, but the same mistake has been repeated by C, C++, C# and Java. Languages that do integer division correctly (in my view) include Python, Ruby and Haskell.
In Java 8, methods have been added to the Math class for division where the rounding is towards negative infinity rather than zero. The methods are.
Math.floorDiv(int, int)
Math.floorMod(int, int)
Math.floorDiv(long, long)
Math.floorMod(long, long)
Math.floorMod(-3, 26) returns 23 as you wanted.
This code segment:
(x >>> 3) & ((1 << 5) - 1)
apparently results in a 5-bit integer with bits 3 - 7 of x.
How would you go about understanding this?
Let's look at ((1 << 5) - 1) first.
1 << 5 is equal to 100000 in binary.
When we subtract 1, we're left with 11111, a binary number of five 1s.
Now, it's important to understand that a & 0b11111 is an operation that keeps only the 5 least significant bits of a. Recall that the & of two bits is 1 if and only if both of the bits are 1. Any bits in a above the 5th bit, therefore, will become 0, since bit & 0 == 0. Moreover, all of the bits from bit 1 to bit 5 will retain their original value, since bit & 1 == bit (0 & 1 == 0 and 1 & 1 == 1).
Now, because we shift the bits of x in x >>> 3 down by 3, losing the three least significant bits of x, we are applying the process above to bits 4 to 8 (starting at index 1). Hence, the result of the operation retains only those bits (if we say the first bit is bit 0, then that would indeed be bit 3 to bit 7, as you've stated).
Let's take an example: 1234. In binary, that's 10011010010. So, we start with the shift by 3:
10011010010 >>> 3 = 10011010
Essentially we just trim off the last 3 bits. Now we can perform the & operation:
10011010
& 00011111
--------
00011010
So, our final result is 11010. As you can see, the result is as expected:
bits | 1 0 0 1 1 0 1 0 0 1 0
index | 10 9 8 7 6 5 4 3 2 1 0
^-------^
(x >>> 3)
Shifts x right 3 bits logically, i.e. not sign-extending at the left. The lower-order 3 bits are lost. (This is equivalent to an unsigned division by 8.)
1 << 5
Shifts 1 left 5 bits, i.e. multiplies it by 32, yielding 0b00000000000000000000000000100000.
-1
Subtracts one from that, giving 31, or 0b00000000000000000000000000011111.
&
ANDs these together, yielding only the lower-order 5 bits of the result of x >>> 3, in other words bits 3..7 of the original x.
"How would you go about understanding this?".
I assume that you are actually asking how you should go about understanding it. (As distinct from someone just explaining it to you ...)
The way to understand it is to "hand execute" it.
Get a piece of paper and a pencil.
Based on your understanding of how Java operator precedence works, figure out the order in which the operations will be performed.
Based on your understanding of each operator, write the input patterns of bits on the piece of paper and "hand execute" each operation ... in the correct order.
If you do this a few times with a few values of x, you should get to understand why this expression gives you a 5 bit number.
If you repeat this exercise for a few other examples, you should get to the point where you don't need to go through the tedious process of working it out with a pencil and paper.
I see that #arshajii has essentially done this for you for this example. But I think you will get a deeper understanding if you do / repeat the work for yourself.
One thing to remember about integer and bitwise operations in Java is that the operations are always performed using 32 or 64 bit operations ... even if the operands are 8 or 16 bit. Another thing to remember (though it is not relevant here) is that the right hand operand of a shift operator is chopped to 5 or 6 bits, depending on whether this is a 32 or 64 bit operation.
I need a function that extracts last N bits in an integer (N < 32 so the result is always positive). I cannot seem to work it out myself.
My first approach was to left shift (32 - n) bits then shift right (32 - n) bits, however Clojure converts the first result to BigInt thus I'm unable to get rid off the first 32-n bits.
Could anybody help please? Thanks!
I think what you want is something using bitwise and, for instance:
(defn low-bits [x n]
"Get the lowest n bits of x"
(bit-and x (unchecked-dec (bit-shift-left 1 n))))
Taking n 8, (bit-shift-left 1 8) gives us 256, then (dec 256) gives us 255, a number which has the lowest 8 bits set and the higher bits 0. Then the bitwise and will give us a number where the lowest 8 bits are whatever they were in x, and the higher bits are all 0 (which is what you want I think?).
Disclaimer: This is probablty the 4th Clojure function I've written, so I'm just learning too...