Documentation
Sorter.sort(list)
Sort function inplemented in rust language for speed (in ascending order)
Arguments:
store: a list(wont accept lists with multiple datatypes).
Returns:
List: the sorted list
@Timer.timer(store=False, round_off=10)
Decorator which print execution time of any function.
Arguments:
store: storing your execution time (store = True) or just print it (store = False).
round_off: decimals to round off the execution time.
Returns:
Tuple containing return value and the execution time if store = True.
Function's return value if store = False.
@Threader.threader(funcs, func_result=False)
A Frame-Determined decorator to spring up number of I/O bound tasks.
Arguments:
funcs: type: dict holding all your task(s) in form of {my_function: [[] of parameters]}.
func_result: type: boolean True to return function's return value.
Returns:
List of return value(s) of all the I/O bound task(s) (specified within decorator) if func_result = False.
Tuple containing function's return value and the list respectively if func_result = True.
@Processor.processor(funcs, func_result=False, get_result=False)
A Frame-Determined decorator to spring up number of CPU bound tasks.
Arguments:
funcs: type: dict holding all your task(s) in form of {my_function: [[] of parameters]}.
func_result: type: boolean True to return function's return value.
get_result: type: boolean True to return the MapResult object value(s) (process becomes a little slow).
Returns:
List of MapResult object(s) of all the CPU bound task(s) with values if get_result = False (specified within decorator)
and func_result = False.
Values of CPU bound task(s) if get_result = True.
Tuple containing function's return value and the list respectively if func_result = True.
Examples can found here.
NOTE:
- Pure concurrency is a limitation in Python.
- Please read the Guidelines before using the package.