<prompt> Bapisa le ho bapisa Patlisiso e tebileng-ea Pele DFS le Patlo ea Pele ea Bophara BFS.nan  <response>: Instruction in English: Compare and contrast Depth-First Search DFS and Breadth-First Search BFS. . Response in English: Depth-First Search DFS and Breadth-First Search BFS are two popular algorithms used to search and traverse through tree and graph data structures. While both algorithms have a similar goal, they differ in the order in which they visit the nodes and the data structures they use to keep track of visited and discovered nodes.DFS traverses a graph or tree by exploring as far as possible along each branch before backtracking. It starts at a root node and explores as far as possible along each branch before backtracking. It visits nodes by going as deep as possible until there are no more unvisited nodes, before moving onto the next branch. DFS uses a stack data structure to keep track of nodes to visit. This means that the most recently discovered nodes are visited first.On the other hand, BFS traverses a graph or tree by exploring all the neighboring nodes at the current depth before moving on to the nodes at the next depth level. It starts at a root node and visits all its neighbors, then moves on to visit the neighbors of the neighbors, and so on until there are no more nodes to visit. BFS uses a queue data structure to keep track of nodes to visit. Since this is a first-in, first-out data structure, the oldest discovered nodes are visited first.To summarize, the main differences between the two algorithms are their order in which they visit the nodes and the data structures they use. DFS goes deep first, while BFS goes wide first. DFS uses a stack while BFS uses a queue. These differences may result in one algorithm being more suitable for a particular problem or application than the other, depending on the desired outcome. . Response in Sesotho: Patlisiso e tebileng ea pele DFS le Patlisiso ea Bophara-pele BFS ke li-algorithms tse peli tse tsebahalang tse sebelisoang ho batla le ho haola le meaho ea data ea sefate le kerafo. Le hoja li-algorithms ka bobeli li na le sepheo se tšoanang, li fapana ka tatellano eo li etelang li-node le mekhoa ea data eo ba e sebelisang ho boloka tlaleho ea libaka tse etileng le tse sibollotsoeng. DFS e haola le kerafo kapa sefate ka ho hlahloba ka hohle kamoo ho ka khonehang lekaleng ka leng pele e khutlela morao. E qala sebakeng sa motso me e hlahloba ka hohle kamoo ho ka khonehang lekaleng ka leng pele e khutlela morao. E etela li-node ka ho teba ka hohle kamoo ho ka khonehang ho fihlela ho se ho se na libaka tse sa eteloeng, pele e fetela lekaleng le latelang. DFS e sebelisa sebopeho sa data sa stack ho boloka tlaleho ea li-node tseo u ka li etelang. Sena se bolela hore li-node tse sa tsoa sibolloa li eteloa pele. Ka lehlakoreng le leng, BFS e tšela kerafo kapa sefate ka ho hlahloba li-node tsohle tsa boahelani botebong ba hona joale pele e fetela ho li-node boemong bo latelang ba botebo. E qala ka node ea motso me e etela baahelani bohle ba eona, ebe e tsoela pele ho etela baahelani ba baahelani, joalo-joalo ho fihlela ho se ho se na li-node tsa ho etela. BFS e sebelisa sebopeho sa data sa queue ho boloka tlaleho ea libaka tseo u ka li etelang. Kaha sena ke sebopeho sa data sa pele, sa pele, li-node tsa khale ka ho fetisisa tse sibolotsoeng li eteloa pele. Ho akaretsa, phapang e kholo lipakeng tsa li-algorithms tse peli ke tatellano ea bona eo ba etelang li-node le meaho ea data eo ba e sebelisang. DFS e ea botebong ba pele, ha BFS e tsoela pele ka bophara. DFS e sebelisa stack ha BFS e sebelisa mokoloko. Phapang ena e ka na ea etsa hore algorithm e le ngoe e be e loketseng bothata bo itseng kapa kopo ho feta e ngoe, ho itšetlehile ka sephetho se lakatsehang. 