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I recommend using a long_integer to hold the intermediate results of the hash calculation.C＃代写
Remember a “slice” in Ada allows the user to treat a substring as a single unit. Given str has the value “ABCD” str(2..3) refers to the characters in positions 2 through 3 ) as a group from the string str, i.e., ”BC.” “str(2..2) would be the second character in the string. I am assuming you have instantiated a function which converts a character (8 bits per ASCII character) to a long integer (32 bits) so overflow will not occur in the sum. C＃代写
Each entry placed in the hash table must be a record with 3 fields. The first filed is the key, the second the initial hash address, and the third field is the number of probes to insert the key in the table counting the initial hash address as the first probe.
A)
Repeat A and B above but use the random probe for handling collisions as developed in class. When you print the contents of the table you should be able to visually see the secondary clustering affect. Calculate and print the theoretical expected number of probes to locate a random item in the table. Discuss your empirical results in light of the theoretical results. Your grade points will be highly dependent on your explanation!C＃代写
B)
Present all your results in a neat tabular format (typed naturally). Compare your results to the theoretical results. If there are differences, please explain why. I expect you to physically calculate the theoretical values for comparison to your empirical results for both the linear and random probes! You may not ask a friend, you may not look them up in some table! Providing someone else with the results will not only cause them to fail the lab but you as well. You may however teach them to use a calculator, spreadsheet, log tables, or other techniques.C＃代写
C)C＃代写
Create a hash table in main memory and fill it 50% full. Use the linear probe technique developed in class to handle collisions. Now look up the first 30 entries placed in the table. Print the minimum, maximum, and average number of probes required to locate the first 30 keys placed in the table. Now search for the last 30 keys placed in the table. Print the minimum, maximum, and average number of probes required to locate the last 30 keys placed in the table. Print the contents of the hash table clearly indicating open entries (this should allow you to see the primary/secondary clustering effect). Calculate and print the theoretical expected number of probes to locate a random item in the table. Explain your empirical results in light of the theoretical results. Your grade points will be highly dependent on your explanation!C＃代写
