The function wants to achieve to find all distinct subsets that sum up to an given number.results = []def rec_subset_sum(current_elements, available_elements):    for i, inspected_element in enumerate(current_elements):        # Get list of all smaller available elements        smaller_elements = [q for q in available_elements if q < inspected_element]        sum_smaller = sum(smaller_elements)        # Check if they can replace the inspected_element        if inspected_element <= sum_smaller:            new_replace_elements = []            r = inspected_element            # Since available_elements are sorted get from the behind of list all elements so long until they sum up to inspected_element            while r != 0:                val = smaller_elements[-1]                new_replace_elements.append(val)                del smaller_elements[-1]                r -= val            next_available_elements = [a for a in available_elements]            # For the next list remove all the new used elements fromt the current available_elements            for a in new_replace_elements:                next_available_elements.remove(a)            # For the next current elements replace the inspected_elements with the new choosen one            next_elements = [a for a in current_elements]            next_available_elements += [next_elements[i]] # if we have replaced it, we can use it again            del next_elements[i]            next_elements += new_replace_elements            results.append(next_elements)            # Start the recursion            rec_subset_sum(sorted(next_elements), sorted(next_available_elements))mx = [1, 2, 4, 8, 128]cx = [2, 4, 4, 8, 8, 8, 16, 16, 16, 16, 16, 32, 32, 32, 32, 32, 64, 64, 64, 64, 64]rec_subset_sum(mx, cx)print redundant ones, len(results)print this is what we want, len(set(map(tuple,results)))The function wants to achieve to find all distinct subsets that sum up to sum([1, 2, 4, 8, 128]) = 143. It is allowed to create new subsets by taking an element from mx and replace that element with elements from cx, that have the same value. (Then the replaced element could be used again)It is assumed that cx contains only powers of 2 and mx is the binary representation (so basically the representation that uses the biggest powers). So the algorithm basically loops through mx checks if one element can be replaced and if yes replaces it in a new mx,cx (next_elements, next_available_elements) and calls itself recursively. If not it checks the next element in mx (current_elements) if it can be replaced.The function is slow, one of the problems is that it returns many redundant subsets, which are not needed and are filtered out after that. How can the performance be improved?Larger Testcases:mx = [1, 16, 32, 256, 512, 8192]cx = [2, 2, 4, 4, 4, 8, 8, 8, 8, 16, 16, 16, 16, 32, 32, 32, 32, 32, 64, 64, 64, 64, 64, 64, 64, 128, 128, 128, 128, 128, 128, 128, 128, 256, 256, 256, 256, 256, 256, 256, 512, 512, 512, 512, 512, 512, 512, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 4096, 4096, 4096, 4096, 4096, 4096, 4096, 4096]Testcase 2:mx = [1, 8, 16, 32, 256, 512, 2048, 4096, 65536, 131072, 262144, 524288]cx = [2, 2, 4, 4, 4, 8, 8, 8, 16, 16, 16, 16, 32, 32, 32, 32, 32, 64, 64, 64, 64, 64, 64, 64, 128, 128, 128, 128, 128, 128, 128, 128, 256, 256, 256, 256, 256, 256, 256, 256, 512, 512, 512, 512, 512, 512, 512, 512, 512, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 4096, 4096, 4096, 4096, 4096, 4096, 4096, 4096, 4096, 4096, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 32768, 32768, 32768, 32768, 32768, 32768, 32768, 32768, 32768, 32768, 32768, 65536, 65536, 65536, 65536, 65536, 65536, 65536, 65536, 65536, 65536, 131072, 131072, 131072, 131072, 131072, 131072, 131072, 131072, 131072, 131072, 262144, 262144, 262144, 262144, 262144, 262144, 262144, 262144, 262144, 262144]If even larger are needed i will add it.
Find all distinct subsets that sum to a given number
python;performance;python 2.7;recursion