<prompt> Hlalosa khoutu me u hlalose hore na algorithm ena e sebetsa joang.def binsearcharr, x: qala 0 qetellong lenarr - 1 ha qala qetellong: bohareng qala qetellong2 haeba arrmid x: khutla bohareng elif arrmid x: qetello bohareng - 1 e ngoe: qala bohareng 1 khutla ha ho letho  <response>: Instruction in English: Parse the code and explain how this algorithm works. . Response in English: The given algorithm is an implementation of the binary search algorithm, used to find the position of a target value x within a sorted array arr. The function takes the array and the target value as input arguments.Firstly, the function initializes two variables, start and end, to keep track of the first and last indices of the segment of the array being considered. Initially, the entire array is considered, so start is set to 0, while end is set to the last index of the array, i.e., lenarr-1.A while loop starts, which runs until start is less than or equal to end. This loop is used to repeatedly narrow down the search range until the target element is found, or its determined that the element is not present in the array.Inside the loop, the mid-point index mid is calculated using the average of start and end indices. After that, the algorithm checks if the element at the mid index is equal to the target value x. If it is, the function returns mid as the position of the target value in the array.If the element at the mid index is greater than the target value, the target value must lie in the left half of the search range. So, the end index is updated to mid-1, effectively reducing the search range to the left half of the current range.If the element at the mid index is smaller than the target value, the target must lie in the right half of the search range. So, the start index is updated to mid1, effectively reducing the search range to the right half of the current range.Once the loop ends, if the target value couldnt be found, the function returns none to indicate that the target value is not present in the array. . Response in Sesotho: Algorithm e fanoeng ke tsebetsong ea mokhoa oa ho batla oa binary, o sebelisetsoang ho fumana boemo ba boleng ba x ka hara sehlopha se hlophisitsoeng sa arr. Mosebetsi o nka sehlopha le boleng ba sepheo e le likhang tse kentsoeng. Taba ea pele, tšebetso e qala mefuta e meli, qala le qetello, ho boloka tlaleho ea li-indices tsa pele le tsa ho qetela tsa karolo ea sehlopha se ntseng se nahanoa. Qalong, sehlopha sohle se nahanoa, kahoo qala e behiloe ho 0, ha qetellong e behiloe ho index ea ho qetela ea sehlopha, ke hore, lenarr-1. Loop ea nako ea qala, e tsamaeang ho fihlela qala e le ka tlase ho kapa e lekana le qetellong. Loop ena e sebelisetsoa ho fokotsa sekhahla sa ho batla khafetsa ho fihlela ntho eo ho shebiloeng e fumanoa, kapa ho khethiloe hore ntho ha e eo ka hara sehlopha. Ka hara lupu, index ea mid-point e baloa ho sebelisoa karolelano ea li-indices tsa start le end. Ka mora moo, algorithm e lekola hore na ntho e ho index ea mid e lekana le boleng ba x. Haeba ho joalo, tšebetso e khutlisa bohareng joalo ka boemo ba boleng bo hlahletsoeng lethathamong. Haeba element e ho index ea mid e le kholo ho feta palo e lebeletsoeng, boleng ba sepheo bo tlameha ho ba ka lehlakoreng le letšehali la sebaka sa ho batla. Kahoo, index ea qetellong e nchafalitsoe ho mid-1, e fokotsang sebaka sa ho batla ka lehlakoreng le letšehali la sebaka sa hajoale. Haeba element e ho index ea mid e le nyane ho feta boleng ba sepheo, sepheo se tlameha ho ba halofong e nepahetseng ea sebaka sa ho batla. Kahoo, index ea start e nchafalitsoe ho ba mid1, e leng ho fokotsang sebaka sa ho batla ho isa halofong e nepahetseng ea mofuta oa hajoale. Hang ha lupu e fela, haeba boleng bo sa fumaneheng, mosebetsi o khutlisa ha ho letho ho bontša hore boleng ba targeted ha bo teng lethathamong. 