I am not an advanced C++ programmer. But I have been using C++ for a long time now. So, I love playing with it. Lately I was thinking about ways to maximize a variable programmatically. So I tried Bitwise Operators to fill a variable with 1's. Then there's signed and unsigned issue. My knowledge of memory representation is not very well. However, I ended up writing the following code which is working for both signed and unsigned short, int and long (although int and long are basically the same). Unfortunately, for long long, the program is failing.
So, what is going on behind the scenes for long long? How is it represented in memory? Besides, Is there any better way to do achieve the same thing in C++?
#include <bits/stdc++.h>
using namespace std;
template<typename T>
void Maximize(T &val, bool isSigned)
{
int length = sizeof(T) * 8;
cout << "\nlength = " << length << "\n";
// clearing
for(int i=0; i<length; i++)
{
val &= 0 << i;
}
if(isSigned)
{
length--;
}
val = 1 << 0;
for(int i=1; i<length; i++)
{
val |= 1 << i;
cout << "\ni = " << i << "\nval = " << val << "\n";
}
}
int main()
{
long long i;
Maximize(i, true);
cout << "\n\nsizeof(i) = " << sizeof(i) << " bytes" << "\n";
cout << "i = " << i << "\n";
return 0;
}
The basic issue with your code is in the statements
val &= 0 << i;
and
val |= 1 << i;
in the case that val is longer than an int.
In the first expression, 0 << i is (most likely) always 0, regardless of i (technically, it suffers from the same undefined behaviour described below, but you will not likely encounter the problem.) So there was no need for the loop at all; all of the statements do the same thing, which is to zero out val. Of course, val = 0; would have been a simpler way of writing that.
The issue 1 << i is that the constant literal 1 is an int (because it is small enough to be represented as an int, and int is the narrowest representation used for integeral constants). Since 1 is an int, so is 1 << i. If i is greater than or equal to the number of value bits in an int, that expression has undefined behaviour, so in theory the result could be anything. In practice, however, the result is likely to be the same width as an int, so only the low-order bits will be affected.
It is certainly possible to convert the 1 to type T (although in general, you might need to be cautious about corner cases when T is signed), but it is easier to convert the 1 to an unsigned type at least as wide as Tby using the maximum-width unsigned integer type defined in cstdint, uintmax_t:
val |= std::uintmax_t(1) << i;
In real-world code, it is common to see the assumption that the widest integer type is long long:
val |= 1ULL << i;
which will work fine if the program never attempts to instantiate the template with a extended integer type.
Of course, this is not the way to find the largest value for an integer type. The correct solution is to #include <limits> and then use the appropriate specialization of std::numeric_limits<T>::max()
C++ allows only one representation for positive (and unsigned) integers, and three possible representations for negative signed integers. Positive and unsigned integers are simply represented as a sequence of bits in binary notation. There may be padding bits as well, and signed integers have a single sign bit which must be 0 in the case of positive integers, so there is no guarantee that there are 8*sizeof(T) useful bits in the representation, even if the number of bits in a byte is known to be 8 (and, in theory, it could be larger). [Note 1]
The sign bit for negative signed integers is always 1, but there are three different formats for the value bits. The most common is "two's complement", where the value bits interpreted as a positive number would be exactly 2k more than the actual value of the number, where k is the number of value bits. (This is equivalent to specifying a weight of 2-k to the sign bits, which is why it is called 2s complement.)
Another alternative is "one's complement", in which the value bits are all inverted individually. This differs by exactly one from two's-complement representation.
The third allowable alternative is "sign-magnitude", in which the value bits are precisely the absolute value of the negative number. This representation is frequently used for floating point values, but only rarely used in integer values.
Both sign-magnitude and one's complement suffer from the disadvantage that there is a bit pattern which represents "negative 0". On the other hand, two's complement representation has the feature that the magnitude of the most negative representable value is one larger than the magnitude of the most positive representable value, with the result that both -x and x/-1 can overflow, leading to undefined behaviour.
Notes
I believe that it is theoretically possible for padding to be inserted between the value bits and the sign bits, but I certainly do not know of any real-world implementation with that feature. However, the fact that attempting to shift a 1 into the sign bit position is undefined behaviour makes it incorrect to assume that the sign bit is contiguous with the value bits.
I was thinking about ways to maximize a variable programmatically.
You are trying to reinvent the wheel. C++ STL already has this functionality: std::numeric_limits::max()
// x any kind of numeric type: any integer or any floating point value
x = std::numeric_limits<decltype(x)>::max();
This is also better since you will not relay on undefined behavior.
As harold commented, the solution is to use T(1) << i instead of 1 << i. Also as Some programmer dude mentioned, long long is represented as consecutive bytes (typically 8 bytes) with sign bit at the MSB if it is signed.
Related
I made a simple function that I called symmetricDelta() which calculates the delta between value and previous "symmetrically". What I mean by that is: consider a number-line from e.g. 0 to ULLONG_MAX, where you connected the left and right ends of the number-line... To determine a "symmetric" delta, assume the change is positive if value - previous is less than half of the span, otherwise assume the change is negative, and we wrapped-around the number-line.
See a simple version of this for uint64_ts below:
int64_t symmetricDelta(uint64_t value, uint64_t previous) {
if (value-previous < (1ULL << 63)) {
uint64_t result = value - previous;
return result;
} else {
uint64_t negativeResult = previous - value;
return -1 * negativeResult;
}
}
Usage:
uint64_t value = ULLONG_MAX;
uint64_t previous = 0;
// Result: -1, not UULONG_MAX
cout << symmetricDelta(value, previous) << endl;
Demo: https://onlinegdb.com/BJ8FFZgrP
Other value examples, assume a uint8_t version for simplicity:
symmetricalDifference(1, 0) == 1
symmetricalDifference(0, 1) == -1
symmetricalDifference(0, 255) == 1
symmetricalDifference(255, 0) == -1
symmetricalDifference(227, 100) == 127
symmetricalDifference(228, 100) == -128
My question is: Is there an "official" name for what I'm calling "symmetrical subtraction"? This feels like the kind of thing that might already be implemented in the C++ STL, but I wouldn't even know what to search for...
Yes. The name is subtraction modulo 2^64. And it's identical to what your machine does with the instruction
int64_t symmetricDelta(uint64_t value, uint64_t previous) {
return (int64_t)(value-previous);
}
In C and C++, unsigned arithmetic is defined to wrap around, effectively joining the ends of the representable number range into a circle. This is the basis for the 2-complement representation of signed integers: Your CPU simply declares half the number circle to be interpreted negative. This part is the upper part in unsigned, with the -1 corresponding to the maximum representable unsigned integer. Simply because the 0 is next on the circle.
Side note:
This allows the CPU to use the exact same circuitry for signed and unsigned arithmetic. The CPU only provides an add instruction that is used irrespective of whether the numbers should be interpreted as signed or unsigned. This is true for addition, subtraction and multiplication, they all exist as sign-ignorant instructions. Only the division is implemented in a signed and an unsigned variant, as are the comparison instructions / the flag bits that the CPU provides.
Side note 2:
The above is not fully true, as modern CPUs implement saturating arithmetic as part of their vector units (AVX etc.). Because saturating arithmetic means clipping the result to the ends of the representable range instead of wrapping around, this clipping depends on where the circle of numbers is assumed to be broken. As such, saturating arithmetic instructions typically exist in signed and unsigned variants.
End of the needless background rambling...
So, when you subtract two numbers in unsigned representation, the result is the unsigned number of steps that you have to take to reach the minuend from the subtrahend. And by reinterpreting the result as a signed integer, you are interpreting a long route (that goes more than half around the circle) as the corresponding short route in the opposite direction.
There is one pitfall: 1 << 63 is not representable. It is exactly on the opposite side of the number circle from the zero, and since its sign bit is set, it's interpreted as -(1 << 63). If you try to negate it, the bit pattern does not change one bit (just like -0 == 0), so your computer happily declares that - -(1 << 63) == -(1 << 63). This is probably not a problem to you, but it's better to be aware of this, because it might bite you.
My actual concern is about this:
The left-shift bit operation is used to multiply values of integer variables quickly.
But an integer variable has a defined range of available integers it can store, which is obviously very logical due to the place in bytes which is reserved for it.
Depending on 16-bit or 32-bit system, it preserves either 2 or 4 bytes, which range the available integers from
-32,768 to 32,767 [for signed int] (2 bytes), or
0 to 65,535 [for unsigned int] (2 bytes) on 16-bit
OR
-2,147,483,648 to 2,147,483,647 [for signed int] (4 bytes), or
0 to 4,294,967,295 [for unsigned int] (4 bytes) on 32-bit
My thought is, it should´t be able to multiply the values over the exact half of the maximum integer of the according range.
But what happens then to the values if you proceed the bitwise operation after the value has reached the integer value of the half of the max int value?
Is there an arithmetic pattern which will be applied to it?
One example (in case of 32-bit system):
unsigned int redfox_1 = 2147483647;
unsigned int redfox_2;
redfox_2 = redfox_1 << 1;
/* Which value has redfox_2 now? */
redfox_2 = redfox_1 << 2;
/* Which value has redfox_2 now? */
redfox_2 = redfox_1 << 3;
/* Which value has redfox_2 now? */
/* And so on and on */
/* Is there a arithmetic pattern what will be applied to the value of redfox_2 now? */
the value stored inside redfox_2 shouldn´t be able to go over 2.147.483.647 because its datatype is unsigned int, which can handle only integers up to 4,294,967,295.
What will happen now with the value of redfox_2?
And Is there a arithmetic pattern in what will happen to the value of redfox_2?
Hope you can understand what i mean.
Thank you very much for any answers.
Per the C 2018 standard, 6.5.7 4:
The result of E1 << E2 is E1 left-shifted E2 bit positions; vacated bits are filled with zeros. If E1 has an unsigned type, the value of the result is E1 × 2E2, reduced modulo one more than the maximum value representable in the result type. If E1 has a signed type and nonnegative value, and E1 × 2E2 is representable in the result type, then that is the resulting value; otherwise, the behavior is undefined.
So, for unsigned integer types, the bits are merely shifted left, and vacated bit positions are filled with zeroes. For signed integer types, the consequences of overflow are not defined by the C standard.
Many C implementations will, in signed shifts, slavishly shift the bits, including shifting value bits into the sign bit, resulting in various positive or negative values that a naïve programmer might not expect. However, since the behavior is not defined by the C standard, a C implementation could also:
Clamp the result at INT_MAX or INT_MIN (for int, or the corresponding maxima for the particular type).
Shift the value bits without affecting the sign bit.
Generate a trap.
Transform the program, when the undefined shift is recognized during compilation and optimization, in arbitrary ways, such as removing the entire code path that performs the shift.
If you really want to see the pattern, then just write a program that prints it:
#include <iostream>
#include <ios>
#include <bitset>
int main()
{
unsigned int redfox = 2147483647;
std::bitset<32> b;
for (int i = 0; i < 32; ++i)
{
redfox = redfox << 1;
b = redfox;
std::cout << std::dec << redfox << ", " << std::hex << redfox << ", " << b << std::endl;
}
}
This produces:
4294967294, fffffffe, 11111111111111111111111111111110
4294967292, fffffffc, 11111111111111111111111111111100
4294967288, fffffff8, 11111111111111111111111111111000
4294967280, fffffff0, 11111111111111111111111111110000
4294967264, ffffffe0, 11111111111111111111111111100000
4294967232, ffffffc0, 11111111111111111111111111000000
4294967168, ffffff80, 11111111111111111111111110000000
4294967040, ffffff00, 11111111111111111111111100000000
4294966784, fffffe00, 11111111111111111111111000000000
4294966272, fffffc00, 11111111111111111111110000000000
4294965248, fffff800, 11111111111111111111100000000000
4294963200, fffff000, 11111111111111111111000000000000
4294959104, ffffe000, 11111111111111111110000000000000
4294950912, ffffc000, 11111111111111111100000000000000
4294934528, ffff8000, 11111111111111111000000000000000
4294901760, ffff0000, 11111111111111110000000000000000
4294836224, fffe0000, 11111111111111100000000000000000
4294705152, fffc0000, 11111111111111000000000000000000
4294443008, fff80000, 11111111111110000000000000000000
4293918720, fff00000, 11111111111100000000000000000000
4292870144, ffe00000, 11111111111000000000000000000000
4290772992, ffc00000, 11111111110000000000000000000000
4286578688, ff800000, 11111111100000000000000000000000
4278190080, ff000000, 11111111000000000000000000000000
4261412864, fe000000, 11111110000000000000000000000000
4227858432, fc000000, 11111100000000000000000000000000
4160749568, f8000000, 11111000000000000000000000000000
4026531840, f0000000, 11110000000000000000000000000000
3758096384, e0000000, 11100000000000000000000000000000
3221225472, c0000000, 11000000000000000000000000000000
2147483648, 80000000, 10000000000000000000000000000000
0, 0, 00000000000000000000000000000000
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How would I create a function template which returns the low portion of a number of N bits?
For example, for an 8 bit number, get the least significant 4 bits, for a 16 bit number, get the least significant 8 bits.
To get the lower half of a built-in integer type you can try something like this:
#include <iostream>
#include <climits>
using std::cout;
using std::endl;
template<typename T>
constexpr T lowbits(T v) {
return v & (T(1) << CHAR_BIT * sizeof v / 2) - 1;
}
int main() {
cout << std::hex << (int)lowbits<int8_t>(0xde) << endl; // will print e
cout << std::hex << lowbits<int16_t>(0xdead) << endl; // will print ad
cout << std::hex << lowbits<int32_t>(0xdeadbeef) << endl; // will print beef
cout << std::hex << lowbits<int64_t>(0xbeefdeaddeadbeef) << endl; // will print deadbeef
}
Note that
return v & (T(1) << CHAR_BIT * sizeof v / 2) - 1;
is equivalent to:
return v & (
(static_cast<T>(1)
<<
(CHAR_BIT * (sizeof v) / 2)) // number of bits divided by 2
- 1
);
In essence you are creating a bit-mask (simply another integer) that has 0-bits for all higher bits and 1-bits for all lower bits.
If an integer type has N bits this is done by shifting a 1-bit into the Nth position and then subtracting 1 from it. The subtraction has the result that all bits below the 1 will be set.
And-ing this with the given value yields only the lower half of the value v.
You can easily generalize this approach to retrieving any number of lower bits by replacing CHAR_BIT * sizeof v/2 with the number of bits you want to retrieve.
To get only the higher bits you can simply negate the resulting mask using the ~ operator.
If you require arbitrary sized integers you can try finding the equivalent operations for this procedure in the GNU gmp library.
Let us define a variable called mask which is the pattern to mask off (or retain) some bits. The operation to get the least significant bits is:
result = value & mask;
For an example, test with value == 13 and mask == 7.
This works will all POD types, except for floating point. The least significant Q bits of a floating point, doesn't make sense (unless you really need to do this).
If you have no need for more bits than the largest internal integral type, you could use something like this:
template <typename T>
T low_bits(T data, size_t bit_count)
{
T mask = (1U << bit_count) - 1U;
return value & mask;
}
For a non-template solution, one could use a macro:
#define LOW_BITS(value, bit_count) \
(value & ((1U << bit_count) - 1U))
This lets the compiler figure out the code based on the data type of value.
A macro form of the expression: value & mask.
The thorn or issue comes into play when N > sizeof(*largest type*). In this case, the number can't be represented by internal data types, so one has to come up with a different solution.
The solution for N-bit depends on whether the multi-byte representation of the number is Big Endian or Little Endian. For Big Endian platforms, the least significant value will be at highest address, while on Little Endian platforms, the least significant is at the lowest address.
The solution I'm proposing treats the N-bit number as an array of bytes. A byte contains 8-bits (on most platforms), and bytes can be masked differently than multibyte quantities.
Here's the algorithm:
1. Copy the least significant bytes that are completely masked to the result variable.
2. Mask the next largest byte and copy result byte to result number.
3. Pad remaining bytes with 0.
As far as the function parameters go, you'll need:
1) Pointer to the memory location of the original number.
2) Pointer to the result number.
3) Pointer to the mask.
4) Size of the number, in bytes.
The algorithm can handle N-bit numbers, limited by the amount of memory on the platform.
Note: sorry about not providing code, but I need to get back to work. :-(
I'm new to C++ and is trying to learn the concept of array. I saw this code snippet online. For the sample code below, does it make any difference to declare:
unsigned scores[11] = {};
unsigned grade;
as:
int scores[11] = {};
int grade;
I guess there must be a reason why score[11] = {}; and grade is declared as unsigned, but what is the reason behind it?
int main() {
unsigned scores[11] = {};
unsigned grade;
while (cin >> grade) {
if (0 <= grade <= 100) {
++scores[grade / 10];
}
}
for (int i = 0; i < 11; i++) {
cout << scores[i] << endl;
}
}
unsigned means that the variable will not hold a negative values (or even more accurate - It will not care about the sign-). It seems obvious that scores and grades are signless values (no one scores -25). So, it is natural to use unsigned.
But note that: if (0 <= grade <= 100) is redundant. if (grade <= 100) is enough since no negative values are allowed.
As Blastfurnace commented, if (0 <= grade <= 100) is not right even. if you want it like this you should write it as:
if (0 <= grade && grade <= 100)
Unsigned variables
Declaring a variable as unsigned int instead of int has 2 consequences:
It can't be negative. It provides you a guarantee that it never will be and therefore you don't need to check for it and handle special cases when writing code that only works with positive integers
As you have a limited size, it allows you to represent bigger numbers. On 32 bits, the biggest unsigned int is 4294967295 (2^32-1) whereas the biggest int is 2147483647 (2^31-1)
One consequence of using unsigned int is that arithmetic will be done in the set of unsigned int. So 9 - 10 = 4294967295 instead of -1 as no negative number can be encoded on unsigned int type. You will also have issues if you compare them to negative int.
More info on how negative integer are encoded.
Array initialization
For the array definition, if you just write:
unsigned int scores[11];
Then you have 11 uninitialized unsigned int that have potentially values different than 0.
If you write:
unsigned int scores[11] = {};
Then all int are initialized with their default value that is 0.
Note that if you write:
unsigned int scores[11] = { 1, 2 };
You will have the first int intialized to 1, the second to 2 and all the others to 0.
You can easily play a little bit with all these syntax to gain a better understanding of it.
Comparison
About the code:
if(0 <= grade <= 100)
as stated in the comments, this does not do what you expect. In fact, this will always evaluate to true and therefore execute the code in the if. Which means if you enter a grade of, say, 20000, you should have a core dump. The reason is that this:
0 <= grade <= 100
is equivalent to:
(0 <= grade) <= 100
And the first part is either true (implicitly converted to 1) or false (implicitly converted to 0). As both values are lower than 100, the second comparison is always true.
unsigned integers have some strange properties and you should avoid them unless you have a good reason. Gaining 1 extra bit of positive size, or expressing a constraint that a value may not be negative, are not good reasons.
unsigned integers implement arithmetic modulo UINT_MAX+1. By contrast, operations on signed integers represent the natural arithmetic that we are familiar with from school.
Overflow semantics
unsigned has well defined overflow; signed does not:
unsigned u = UINT_MAX;
u++; // u becomes 0
int i = INT_MAX;
i++; // undefined behaviour
This has the consequence that signed integer overflow can be caught during testing, while an unsigned overflow may silently do the wrong thing. So use unsigned only if you are sure you want to legalize overflow.
If you have a constraint that a value may not be negative, then you need a way to detect and reject negative values; int is perfect for this. An unsigned will accept a negative value and silently overflow it into a positive value.
Bit shift semantics
Bit shift of unsigned by an amount not greater than the number of bits in the data type is always well defined. Until C++20, bit shift of signed was undefined if it would cause a 1 in the sign bit to be shifted left, or implementation-defined if it would cause a 1 in the sign bit to be shifted right. Since C++20, signed right shift always preserves the sign, but signed left shift does not. So use unsigned for some kinds of bit twiddling operations.
Mixed sign operations
The built-in arithmetic operations always operate on operands of the same type. If they are supplied operands of different types, the "usual arithmetic conversions" coerce them into the same type, sometimes with surprising results:
unsigned u = 42;
std::cout << (u * -1); // 4294967254
std::cout << std::boolalpha << (u >= -1); // false
What's the difference?
Subtracting an unsigned from another unsigned yields an unsigned result, which means that the difference between 2 and 1 is 4294967295.
Double the max value
int uses one bit to represent the sign of the value. unsigned uses this bit as just another numerical bit. So typically, int has 31 numerical bits and unsigned has 32. This extra bit is often cited as a reason to use unsigned. But if 31 bits are insufficient for a particular purpose, then most likely 32 bits will also be insufficient, and you should be considering 64 bits or more.
Function overloading
The implicit conversion from int to unsigned has the same rank as the conversion from int to double, so the following example is ill formed:
void f(unsigned);
void f(double);
f(42); // error: ambiguous call to overloaded function
Interoperability
Many APIs (including the standard library) use unsigned types, often for misguided reasons. It is sensible to use unsigned to avoid mixed-sign operations when interacting with these APIs.
Appendix
The quoted snippet includes the expression 0 <= grade <= 100. This will first evaluate 0 <= grade, which is always true, because grade can't be negative. Then it will evaluate true <= 100, which is always true, because true is converted to the integer 1, and 1 <= 100 is true.
Yes it does make a difference. In the first case you declare an array of 11 elements a variable of type "unsigned int". In the second case you declare them as ints.
When the int is on 32 bits you can have values from the following ranges
–2,147,483,648 to 2,147,483,647 for plain int
0 to 4,294,967,295 for unsigned int
You normally declare something unsigned when you don't need negative numbers and you need that extra range given by unsigned. In your case I assume that that by declaring the variables unsigned, the developer doesn't accept negative scores and grades. You basically do a statistic of how many grades between 0 and 10 were introduced at the command line. So it looks like something to simulate a school grading system, therefore you don't have negative grades. But this is my opinion after reading the code.
Take a look at this post which explains what unsigned is:
what is the unsigned datatype?
As the name suggests, signed integers can be negative and unsigned cannot be. If we represent an integer with N bits then for unsigned the minimum value is 0 and the maximum value is 2^(N-1). If it is a signed integer of N bits then it can take the values from -2^(N-2) to 2^(N-2)-1. This is because we need 1-bit to represent the sign +/-
Ex: signed 3-bit integer (yes there are such things)
000 = 0
001 = 1
010 = 2
011 = 3
100 = -4
101 = -3
110 = -2
111 = -1
But, for unsigned it just represents the values [0,7]. The most significant bit (MSB) in the example signifies a negative value. That is, all values where the MSB is set are negative. Hence the apparent loss of a bit in its absolute values.
It also behaves as one might expect. If you increment -1 (111) we get (1 000) but since we don't have a fourth bit it simply "falls off the end" and we are left with 000.
The same applies to subtracting 1 from 0. First take the two's complement
111 = twos_complement(001)
and add it to 000 which yields 111 = -1 (from the table) which is what one might expect. What happens when you increment 011(=3) yielding 100(=-4) is perhaps not what one might expect and is at odds with our normal expectations. These overflows are troublesome with fixed point arithmetic and have to be dealt with.
One other thing worth pointing out is the a signed integer can take one negative value more than it can positive which has a consequence for rounding (when using integer to represent fixed point numbers for example) but am sure that's better covered in the DSP or signal processing forums.
Good day, colleagues!
I need to obtain cyclic series on successive numbers from 0 to 255. Is it legal to use unsigned char overflow like this:
unsigned char test_char = 0;
while (true) {
std::cout << test_char++ << " ";
}
Or will be more safely to use this code:
int test_int = 0;
while (true) {
std::cout << test_int++ % 256 << " ";
}
Of course, in real code there will be reasonable condition instead of while (true).
3.9.1/4 "Unsigned integers, declared unsigned, shall obey the laws of arithmetic modulo 2n where n is the number of bits in the value representation of that particular size of integer"
"This implies that unsigned arithmetic does not overflow because a result that cannot be represented by the resulting unsigned integer type is reduced modulo the number that is one greater than the largest value that can be represented by the resulting unsigned integer type"
So, yes it is legal. And the second form is preferred, since it's more readable.
Even though sizeof(char) will always be 1, it is not necessary that a char will be exactly 8 bits. (I am guessing unsigned char will be similar).
So of the two, if given a choice, I would prefer the latter as the former might not even be correct.
btw, You probably intended unsigned int instead of int for the latter? Modulus with negative numbers could get tricky (after the int overflows, as Jimmy noted). If I recollect correctly, I believe it is compiler dependent.
unsigned char, like all other unsigned integral types, follows modulo 2n arithmetic, so basically both your methods are equivalent. Use the first
There is no such thing as unsigned overflow, per 3.9.1/4 as quoted by Erik. However, as Moron says, it is possible that the modulus of the unsigned char number system is greater than 256.
Note that your expression does not store the result of % 256 back to test_int. The safe way to do this is
test_int = ( test_int + 1 ) % 256;
std::cout << test_int << " ";
the output of the 2 samples is completely different.
the first one will print characters (a b c d e f g h ...)
the second one will print integers (0 1 2 3 4 ... 255 0 ...)
anyway it depends if you have a a control for overflowexception (.NET) otherwise in old C++ it the value is always valid and goes from 0 to 255