Java API - Treemap - Treeset Project Use TreeMap and TreeSet in Java API to build text process software Concordance_1. Concordance_1 reads a text file and extracts all of the identifiers in the file, along with the number of occurrences and the line numbers on which the identifier appear. An identifier is defined as a string that begins with a letter (A-Z, a-z) and is followed by zero or more other characters that are a letter or a digit (0-9). Note that, if an identifier appears multiple times in a line, only one line number should be displayed, yet the number of occurrences should be counted multiple times.
The input of the concordance is a text file. The concordance outputs the information for each identifier line by line in the following format. For example, "apply" is an identifier. … apply occurs 6 times on line 1, 3, 7,12 …
In the part two of this project, each student builds another version of Concordance_2 with class HashMap and HashSet in Java API.
Run two versions of concordance on the same input file. Download text version of Alice's Adventures in Wonderland

Linda subscribes to a cloud service. the service provider hosts the cloud infrastructure and delivers computing resources over the internet.what cloud model is linda using

If you want to import a picture into a dtp application, what must you do first? draw an image frame. import text. open the folder containing the file. select get image… from the windows menu.

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?