<prompt> Hlalosa se boleloang ke poleloana ho rarahana moelelong oa saense ea khomphuthanan  <response>: Instruction in English: Explain what is meant by the term complexity in the context of computer science . Response in English: In computer science, complexity typically refers to the amount of time, memory, or other resources that are required for a program or algorithm to perform a certain task. This concept is important because it allows computer scientists to evaluate and compare different solutions to a problem and determine which one is more efficient and effective.There are two main types of complexity in computer science: time complexity and space complexity. Time complexity refers to the amount of time it takes for an algorithm to complete its task, while space complexity refers to the amount of memory or space it requires. Typically, time and space complexity are analyzed in terms of the big O notation, which provides an upper bound on the growth rate of an algorithm as its input size increases.In general, it is desirable to use algorithms with low complexity to accomplish a given task, as these algorithms will be able to handle larger inputs more efficiently. However, there can often be trade-offs between time and space complexity - for example, an algorithm that uses more memory may be able to run faster than one that is more conservative with its memory usage. As a result, the ideal solution to a problem will depend on the specific requirements and constraints of the situation. . Response in Sesotho: Ho saense ea khomphutha, ho rarahana hangata ho bolela nako, mohopolo, kapa lisebelisoa tse ling tse hlokahalang bakeng sa lenaneo kapa algorithm ho etsa mosebetsi o itseng. Khopolo ena ke ea bohlokoa hobane e lumella bo-rasaense ba khomphieutha ho hlahloba le ho bapisa tharollo e fapaneng ea bothata le ho fumana hore na ke efe e sebetsang hantle le e sebetsang haholoanyane. Ho na le mefuta e meli e meholo ea ho rarahana ho saense ea khomphutha: ho rarahana ha nako le ho rarahana ha sebaka. Ho rarahana ha nako ho bolela nako e hlokahalang bakeng sa algorithm ho phethela mosebetsi oa eona, athe sebaka se rarahaneng se bolela boholo ba mohopolo kapa sebaka seo se se hlokang. Ka tloaelo, ho rarahana ha nako le sebaka ho sekasekoa ho latela O e kholo, e fanang ka moeli o ka holimo ho sekhahla sa kholo ea algorithm ha boholo ba eona bo ntse bo eketseha. Ka kakaretso, ke ntho e lakatsehang ho sebelisa li-algorithms tse nang le bothata bo fokolang ho finyella mosebetsi o fanoeng, kaha li-algorithms tsena li tla khona ho sebetsana le lisebelisoa tse kholo ka katleho. Leha ho le joalo, hangata ho ka ba le likhohlano lipakeng tsa nako le ho rarahana ha sebaka - mohlala, algorithm e sebelisang memori e mengata e ka khona ho matha kapele ho feta e tsoarellang haholoanyane ka tsebeliso ea eona ea mohopolo. Ka lebaka leo, tharollo e nepahetseng ea bothata e tla itšetleha ka litlhoko tse khethehileng le lithibelo tsa boemo. 