A quick hacky fix might just to cast to long instead of int. On a lot of systems, sizeof(long) == sizeof(void *). A better idea might be to use intptr_t. int threadnumber = (intptr_t) param; and pthread_create(&(tid[i]), &attr, runner, (void *)(intptr_t)i);
No, the sizeof(int) is implementation defined, and is usually 4 bytes. On the other hand, in order to address more than 4GB of memory (that 32bit systems can do), you need your pointers to be 8 bytes wide. int* just holds the address to “somewhere in memory”, and you can’t address more than 4GB of … Read more
Yes, the answer will be the same on a 64-bit machine. In .NET, an int is a signed 32-bit integer, regardless of the processor. Its .NET framework type is System.Int32. The C# Language specification states: The int type represents signed 32-bit integers with values between –2,147,483,648 and 2,147,483,647.
int0 is an alias for intp; this, in turn, is Integer used for indexing (same as C ssize_t; normally either int32 or int64) — Numpy docs: basic types
In such cases you might right click and go to definition: #if __LP64__ || (TARGET_OS_EMBEDDED && !TARGET_OS_IPHONE) || TARGET_OS_WIN32 || NS_BUILD_32_LIKE_64 typedef long NSInteger; typedef unsigned long NSUInteger; #else typedef int NSInteger; typedef unsigned int NSUInteger; #endif
You could simply use the in keyword. Like this : if number_you_are_looking_for in list: # your code here For instance : myList = [1,2,3,4,5] if 3 in myList: print(“3 is present”)
Use Integer.parseInt(). If your CharSequence is not a String, then you need to convert it first using toString(). int number = Integer.parseInt(cs.toString());
id is of primitive type int and not an Object. You cannot call methods on a primitive as you are doing here : id.equals Try replacing this: if (id.equals(list[pos].getItemNumber())){ //Getting error on “equals” with if (id == list[pos].getItemNumber()){ //Getting error on “equals”
You are right, astype(int) does a conversion toward zero: ‘integer’ or ‘signed’: smallest signed int dtype from pandas.to_numeric documentation (which is linked from astype() for numeric conversions). If you want to round, you need to do a float round, and then convert to int: df.round(0).astype(int) Use other rounding functions, according your needs. the output is … Read more
For input 1,2,3,4,5 the input is of length 9. 9/2 = 4 in integer math, so you’re only storing the first four variables, not all 5. Even if you fixed that, it would break horribly if you passed in an input of 10,11,12,13 It would work (by chance) if you used 1,2,3,4,50 for an input, … Read more