<prompt> Hlalosa hore na algorithm ena e sebetsa joangKhetho ea Mofuta  <response>: Instruction in English: Describe how this algorithm works . Response in English: Selection sort is a simple sorting algorithm commonly used for small data sets or as a part of more complex algorithms. The algorithm divides the input list into two parts: the sublist of items already sorted, which is built up from left to right at the front left of the list, and the sublist of items remaining to be sorted that occupy the rest of the list. The algorithm proceeds by finding the smallest or largest, depending on the ordering element in the remaining unsorted sublist, exchanging swapping it with the leftmost unsorted element, and moving the sublist boundaries one element to the right. This continues until the entire list is sorted.Heres how the selection sort algorithm works in more detail:1. Start at the first element in the list index 0 and assume that it is the smallest element in the list.2. Search the entire list to find the smallest element by moving forward one index at a time.3. Once the smallest element is found, swap it with the first element in the list.4. Move to the next element in the list index 1 and assume that it is the smallest element in the remaining portion of the list.5. Again, search the remaining list to find the smallest element and swap it with the current element.6. Continue this process, gradually moving the boundary between the sorted and unsorted portions of the list until it reaches the end of the list.7. Once all elements have been sorted in this way, the list will be sorted in ascending order.This algorithm has a time complexity of On2 where n is the number of items in the list, meaning that it is not the most efficient algorithm for sorting large lists. However, it is simple to understand and implement, which makes it a good choice for small data sets or as an introduction to sorting algorithms. . Response in Sesotho: Khetho ea mofuta oa khetho ke algorithm e bonolo ea ho hlophisa e sebelisoang hangata bakeng sa lisebelisoa tse nyane tsa data kapa e le karolo ea li-algorithms tse rarahaneng. Algorithm e arola lenane la ho kenya likarolo tse peli: lethathamo la lintho tse seng li ntse li hlophisoa, tse hahiloeng ho tloha ho le letšehali ho ea ho le letona ka pele ka ho le letšehali lethathamong, le lethathamo la lintho tse setseng tse lokelang ho hlophisoa tse lulang tse ling kaofela. lethathamo. Algorithm e tsoela pele ka ho fumana ntho e nyane ka ho fetisisa kapa e kholo ka ho fetisisa, ho latela ho odara lethathamong le setseng le sa hlophisoang, ho fapanyetsana ho fapanyetsana le ntho e sa hlophisoang ka ho le letšehali, le ho tsamaisa meeli e tlase ho karolo e le ngoe ho ea ka ho le letona. Sena se tsoela pele ho fihlela lenane lohle le hlophisoa. Mona ke kamoo algorithm ea mofuta oa khetho e sebetsang ka botlalo: 1. Qala nthong ea pele lethathamong index 0 me u nke hore ke eona ntho e nyane ka ho fetisisa lethathamong. 2. Batla lenane lohle ho fumana ntho e nyane ka ho fetesisa ka ho ea pele index e le ngoe ka nako. 3. Hang ha ntho e nyenyane ka ho fetisisa e fumanoa, e fapanyetsane le karolo ea pele lethathamong. 4. E-ea karolong e latelang lethathamong index 1 me u nke hore ke ntho e nyenyane ka ho fetisisa karolong e setseng ea lenane. 5. Hape, batla lethathamo le setseng ho fumana ntho e nyenyane ka ho fetisisa me u e fetole le ntho ea hona joale. 6. Tsoela pele tsebetso ena, butle-butle u tsamaisa moeli pakeng tsa likarolo tse hlophisitsoeng le tse sa hlophisoang tsa lenane ho fihlela li fihla qetellong ea lenane. 7. Hang ha likarolo tsohle li hlophisoa ka tsela ena, lethathamo le tla hlophisoa ka tatellano e nyolohang. Algorithm ena e na le ho rarahana ha nako ea On2 moo n e leng palo ea lintho tse lethathamong, ho bolelang hore ha se eona algorithm e sebetsang hantle bakeng sa ho hlophisa manane a maholo. Leha ho le joalo, ho bonolo ho utloisisa le ho kenya tsebetsong, e leng se etsang hore e be khetho e ntle bakeng sa lihlopha tse nyenyane tsa data kapa e le selelekela sa ho hlophisa li-algorithms. 