In other words, sets the last 5 bits of integer variable x to zero, also it must be in a portable form.
I was trying to do it with the << operator but that only moves the bits to the left, rather than changing the last 5 bits to zero.
11001011 should be changed to 11000000
Create a mask that blanks out that last n integers if it is bitwise-ANDed with your int:
x &= ~ ((1 << n) - 1);
The expression 1 << n shifts 1 by n places and is effectively two to the power of n. So for 5, you get 32 or 0x00000020. Subtract one and you get a number that as the n lowest bits set, in your case 0x0000001F. Negate the bits with ~ and you get 0xFFFFFFE0, the mask others have posted, too. A bitwise AND with your integer will keep only the bits that the mask and your number have in common, which can only bet bits from the sixth bit on.
For 32-bit integers, you should be able to mask off those bits using the & (bitwise and) operator.
x & 0xFFFFFFE0.
http://en.wikipedia.org/wiki/Bitwise_operation#AND
You can use bitwise and & for this
int x = 0x00cb;
x = x & 0xffe0;
This keeps the higher bits and sets the lower bits to zero.
I am using C for developing my program and I found out from an example code
unHiByte = unVal >> 8;
What does this mean? If unVal = 250. What could be the value for unHiByte?
>> in programming is a bitwise operation. The operation >> means shift right operation.
So unVal >> 8 means shift right unVal by 8 bits. Shifting the bits to the right can be interpreted as dividing the value by 2.
Hence, unHiByte = unval >> 8 means unHiByte = unVal/(2^8) (divide unVal by 2 eight times)
Without going into the shift operator itself (since that is answered already), here the assumption is that unVal is a two byte variable with a high byte (the upper 8 bits) and a low byte (the lower 8 bits). The intent is to obtain the value produced by ONLY the upper 8 bits and discarding the lower bits.
The shift operator though should easily be learned via any book / tutorial and perhaps was the reason some one down voted the question.
The >> is a bitwise right shift.
It operates on bits. With unHiByte = unVal >> 8; When unVal=250.
Its binary form is 11111010
Right shift means to shift the bits to the right. So when you shift 1111 1010, 8 digits to right you get 0000 0000.
Note: You can easily determine the right shift operation result by dividing the number to the left of >> by 2^(number to right of >>)
So, 250/28= 0
For example: if you have a hex 0x2A63 and you want to take 2A or you want to take 63 out of it, then you will do this.
For example, if we convert 2A63 to binary which is: 0010101001100011. (that is 16 bits, first 8 bits are 2A and the second 8 bits are 63)
The issue is that binary always starts from right. So we have to push the first 8 bits (2A) to the right side to be able to get it.
uint16_t hex = 0x2A63;
uint8_t part2A = (uint8_t)(hex >> 8) // Pushed the first
// eight bits (2A) to right and (63) is gone out of the way. Now we have 0000000000101010
// Now Line 2 returns for us 0x2A which the last 8 bits (2A).
// To get 63 we will do simply:
uint8_t part63 = (uint8_t)hex; // As by default the 63 is on the right most side in the binary.
It is that simple.
I am trying to write my own C floor function. I am stuck on this code detail. I would just like to know how I can zero out the bottom n bits of an unsigned int.
For example, to round 51.5 to 51.0, I need to zero out the bottom 18 bits, and keep the top 14. Since it's a floor function, I want to make a mask to zero out the bottom (23 minus exponent) bits from the float representation. I know how to make a mask for individual cases like that, but I'm not sure how to code it so that it will work for all. Please help.
A much simpler way is doing just this:
value = (value >> bits) << bits
because the shift left will fill it in with zeroes, not whatever was in there.
Shift a number left N bits. Subtract one. Invert the bits. And with the number you need to mask.
1 << 14 = 00000000000000000010000000000000
-1 = 00000000000000000001111111111111
~ = 11111111111111111110000000000000
When you and with this, a 1 in the mask will preserve the input, and 0 in the mask will set the result to 0.
If we have a decimal value: 123
and its binary version: 01111011
How can I get four leftmost and the four rightmost bits from this byte into 2 separate int variables?
I mean:
int a = 7; // 0111 (the first four bits from the left)
int b = 11; // 1011 (the first four bits from the right)
Much appreciated!
int x = 123;
int low = x & 0x0F;
int high = (x & 0xF0) >> 4;
This is called masking and shifting. By ANDing with 0xF (which is binary 00001111) we remove the higher four bits. ANDing with 0xF0 (which is binary 11110000) removes the lower four bits. Then (in the latter case), we shift to the right by 4 bits, in effect, pushing away the lower 4 bits and leaving only what were the upper 4 bits.
As #owlstead says in the comments below, there's another way to get the higher bits. Instead of masking the lower bits then shifting, we can just shift.
int high = x >> 4;
Note that we don't need to mask the lower bits since whatever they were, they're gone (we've pushed them out). The above example is clearer since we explicitly zero them out first, but there's no need to do so for this particular example.
But to deal with numbers bigger than 16 bits (int is usually 32 bits), we still need to mask, because we can have the even higher sixteen bits getting in the way!
int high = (x >> 4) & 0x0F;
I was told that (i >> 3) is faster than (i/8) but I can't find any information on what >> is. Can anyone point me to a link that explains it?
The same person told me "int k = i/8, followed by k*8 is better accomplished by (i&0xfffffff8);" but again Google didn't help m...
Thanks for any links!
As explained here the >> operator is simply a bitwise shift of the bits of i. So shifting i 1 bit to the right results in an integer-division by 2 and shifting by 3 bits results in a division by 2^3=8.
But nowadays this optimization for division by a power of two should not really be done anymore, as compilers should be smart enough to do this themselves.
Similarly a bitwise AND with 0xFFFFFFF8 (1...1000, last 3 bits 0) is equal to rounding down i to the nearest multiple of 8 (like (i/8)*8 does), as it will zero the last 3 bits of i.
Bitwise shift right.
i >> 3 moves the i integer 3 places to the right [binary-way] - aka, divide by 2^3.
int x = i / 8 * 8:
1) i / 8, can be replaced with i >> 3 - bitwise shift to the right on to 3 digits (8 = 2^3)
2) i & xfffffff8 comparison with mask
For example you have:
i = 11111111
k (i/8) would be: 00011111
x (k * 8) would be: 11111000
Therefore the operation just resets last 3 bits:
And comparable time cost multiplication and division operation can be rewritten simple with
i & xfffffff8 - comparison with (... 11111000 mask)
They are Bitwise Operations
The >> operator is the bit shift operator. It takes the bit represented by the value and shifts them over a set number of slots to the right.
Regarding the first half:
>> is a bit-wise shift to the right.
So shifting a numeric value 3 bits to the right is the same as dividing by 8 and inting the result.
Here's a good reference for operators and their precedence: http://web.cs.mun.ca/~michael/c/op.html
The second part of your question involves the & operator, which is a bit-wise AND. The example is ANDing i and a number that leaves all bits set except for the 3 least significant ones. That is essentially the same thing happening when you have a number, divide it by 8, store the result as an integer, then multiply that result by 8.
The reason this is so is that dividing by 8 and storing as an integer is the same as bit-shifting to the right 3 places, and multiplying by 8 and storing the result in an int is the same as bit-shifting to the left 3 places.
So, if you're multiplying or dividing by a power of 2, such as 8, and you're going to accept the truncating of bits that happens when you store that result in an int, bit-shifting is faster, operationally. This is because the processor can skip the multiply/divide algorithm and just go straight to shifting bits, which involves few steps.
Bitwise shifting.
Suppose I have an 8 -bit integer, in binary
01000000
If I left shift (>> operator) 1 the result is
00100000
If I then right shift (<< operator) 1, I clearly get back to wear I started
01000000
It turns out that because the first binary integer is equivelant to
0*2^7 + 1*2^6 + 0*2^5 + 0*2^4 + 0*2^3 + 1*2^2 + 0*2^1 + 0*2^0
or simply 2^6 or 64
When we right shift 1 we get the following
0*2^7 + 0*2^6 + 1*2^5 + 0*2^4 + 0*2^3 + 1*2^2 + 0*2^1 + 0*2^0
or simply 2^5 or 32
Which means
i >> 1
is the same as
i / 2
If we shift once more (i >> 2), we effectively divide by 2 once again and get
i / 2 / 2
Which is really
i / 4
Not quite a mathematical proof, but you can see the following holds true
i >> n == i / (2^n)
That's called bit shifting, it's an operation on bits, for example, if you have a number on a binary base, let's say 8, it will be 1000, so
x = 1000;
y = x >> 1; //y = 100 = 4
z = x >> 3; //z = 1
Your shifting the bits in binary so for example:
1000 == 8
0100 == 4 (>> 1)
0010 == 2 (>> 2)
0001 == 1 (>> 3)
Being as you're using a base two system, you can take advantage with certain divisors (integers only!) and just bit-shift. On top of that, I believe most compilers know this and will do this for you.
As for the second part:
(i&0xfffffff8);
Say i = 16
0x00000010 & 0xfffffff8 == 16
(16 / 8) * 8 == 16
Again taking advantage of logical operators on binary. Investigate how logical operators work on binary a bit more for really clear understanding of what is going on at the bit level (and how to read hex).
>> is right shift operation.
If you have a number 8, which is represented in binary as 00001000, shifting bits to the right by 3 positions will give you 00000001, which is decimal 1. This is equivalent to dividing by 2 three times.
Division and multiplication by the same number means that you set some bits at the right to zero. The same can be done if you apply a mask. Say, 0xF8 is 11111000 bitwise and if you AND it to a number, it will set its last three bits to zero, and other bits will be left as they are. E.g., 10 & 0xF8 would be 00001010 & 11111000, which equals 00001000, or 8 in decimal.
Of course if you use 32-bit variables, you should have a mask fitting this size, so it will have all the bits set to 1, except for the three bits at the right, giving you your number - 0xFFffFFf8.
>> shifts the number to the right. Consider a binary number 0001000 which represents 8 in the decimal notation. Shifting it 3 bits to the right would give 0000001 which is the number 1 in decimal notation. Thus you see that every 1 bit shift to the right is in fact a division by 2. Note here that the operator truncates the float part of the result.
Therefore i >> n implies i/2^n.
This might be fast depending on the implementation of the compiler. But it generally takes place right in the registers and therefore is very fast as compared to traditional divide and multiply.
The answer to the second part is contained in the first one itself. Since division also truncates all the float part of the result, the division by 8 will in theory shift your number 3 bits to the right, thereby losing all the information about the rightmost 3 bits. Now when you again multiply it by 8 (which in theory means shifting left by 3 bits), you are padding the righmost 3 bits by zero after shifting the result left by 3 bits. Therefore, the complete operation can be considered as one "&" operation with 0xfffffff8 which means that the number has all bits 1 except the rightmost 4 bits which are 1000.