Just like the > > operator that reads c-strings, your > > operator should skip any leading spaces and then read characters into the string up to the first whitespace character. for reasons of convenience, we will impose a limit of 127 on the number of characters this function will read. this is so you can temporarily read into a non-dynamic array and then copy what you need into your data member, which will be a dynamic array. note that this does not mean that all mystrings will always have a maximum of 127 characters. for example, you might get a mystring with more than 127 characters by using the mystring constructor or by concatenating two mystrings. hint: don't try to read character by character in a loop. use the extraction operator to do the reading of the input into a non-dynamic array, then use strcpy() to copy it into your data member. make sure to allocate the correct amount of memory. hint: if you use the extraction operator as suggested above, you will not have to skip leading whitespace, because the extraction operator does that for you.

What is stored in str after the following code executes? string str = "computer science"; int i = 0; while (i < 8) { if (str.indexof("m") < i) { str = str.substring(0, 2) + str; } i += 2; } computer science cocomputer science cococomputer science cocococomputer science computer scienceco

Some of your friends have gotten into the burgeoning field of time-series data mining, in which one looks for patterns in sequences of events that occur over time. purchases at stock exchanges"what's being bought" are one source of data with a natural ordering in time. given a long sequence s of such events, your friends want an efficient way to detect certain "patterns" in them"for example, they may want to know if the four events buy yahoo, buy ebay, buy yahoo, buy oracle occur in this sequence s, in order but not necessarily consecutively. they begin with a collection of possible events (e.g., the possible transactions) and a sequence s of n of these events. a given event may occur multiple times in s (e.g., yahoo stock may be bought many times in a single sequence s). we will say that a sequence s is a subsequence of s if there is a way to delete certain of the events from s so that the remaining events, in order, are equal to the sequence s . so, for example, the sequence of four events above is a subsequence of the sequence buy amazon, buy yahoo, buy ebay, buy yahoo, buy yahoo, buy oracle their goal is to be able to dream up short sequences and quickly detect whether they are subsequences of s. so this is the problem they pose to you: give an algorithm that takes two sequences of events"s of length m and s of length n, each possibly containing an event more than once"and decides in time o(m + n) whether s is a subsequence of s.

Which requirement is an appropriate reason for a business to use it tools