You will write a Python program to solve the co-occurrence problem. The co-occurrence problem is stated as follows. We have a file containing English sentences, one sentence per line. Given a list of query words, your program should output the line number of lines that have all those words. While there are many ways to do this, the most efficient way is to use sets and dictionaries. Here is one example. Assume that the following is the content of the file. Line numbers are included for clarity; the actual file does not have the line numbers

Amain idea is supported, explained, or expanded on with a numbers b. a concluding statement c. details d. a topic sentence. im e paragraphs reset nex next

List a few alternative options and input and output over the standerd keyboard and monitor. explain their functioning in details.

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?