Computer Systems: A Programmer's Perspective (3rd Edition)
3rd Edition
ISBN: 9780134092669
Author: Bryant, Randal E. Bryant, David R. O'Hallaron, David R., Randal E.; O'Hallaron, Bryant/O'hallaron
Publisher: PEARSON
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Chapter 12, Problem 12.32HW
Program Plan Intro
I/O Multiplexing:
- The idea of I/O multiplexing is to use “select” function to ask kernel to suspend process.
- It returns control to application only after one or more I/O events had occurred.
- It denotes waiting for a set of descriptors that is ready for reading.
- The “select” function would manipulate sets of type “fd_set”, that denotes descriptor sets.
- It takes two inputs: a descriptor set called “read set” and cardinality of read set.
- It blocks until at least one descriptor in read set is ready for reading.
- A descriptor “k” is ready for reading if and only if a request to read 1 byte from that descriptor would not block.
- The “fd_set” is been modified that points to argument “fdset” to indicate subset of read set called “ready set”.
- The value returned by function indicates cardinality of ready set.
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Write a program that loads in historical data on popular baby-names for the last 100 years. You can type in a name, and it graphs the rank of that name over time. A high ranking, like 5, means the name was the 5th most popular that year (top of the graph), while a low ranking like 879 means the name was not that popular (bottom of the graph).
Write it in python the latest version
The first function you will write and test is the clean_data function. The function is described in the starter code in a function header comment above the function. Here is the function:
def clean_data(list, x):
#TODO: write your code here
pass
Take a look at the first few lines of the data file:
A 83 140 228 286 426 612 486 577 836 0 0
Aaliyah 0 0 0 0 0 0 0 0 0 380 215
Aaron 193 208 218 274 279 232 132 36 32 31 41
Each line is a baby name followed by how popular the name was in 11 different years. Each number is a ranking, so Aaron was 193th most popular name in 1900 and 41st most…
Could you solve this Question please?
Write a function called has_duplicates that takes a string parameter and returns True if the string has any repeated characters. Otherwise, it should return False.
Implement has_duplicates by creating a histogram using the histogram function above. Do not use any of the implementations of has_duplicates that are given in your textbook. Instead, your implementation should use the counts in the histogram to decide if there are any duplicates.
Write a loop over the strings in the provided test_dups list. Print each string in the list and whether or not it has any duplicates based on the return value of has_duplicates for that string. For example, the output for "aaa" and "abc" would be the following.
aaa has duplicatesabc has no duplicates
Print a line like one of the above for each of the strings in test_dups.
Obs:Copy the code below into your program
def histogram(s): d = dict() for c in s: if c not in d: d[c] =…
Write a program that loads in historical data on popular baby-names for the last 100 years. You can type in a name, and it graphs the rank of that name over time. A high ranking, like 5, means the name was the 5th most popular that year (top of the graph), while a low ranking like 879 means the name was not that popular (bottom of the graph).
Write it in python the latest version
The first function you will write and test is the clean_data function. The function is described in the starter code in a function header comment above the function. Here is the function:
def clean_data(list, x):
#TODO: write your code here
pass
Take a look at the first few lines of the data file:
A 83 140 228 286 426 612 486 577 836 0 0
Aaliyah 0 0 0 0 0 0 0 0 0 380 215
Aaron 193 208 218 274 279 232 132 36 32 31 41
Each line is a baby name followed by how popular the name was in 11 different years. Each number is a ranking, so Aaron was 193th most popular name in 1900 and 41st most…
Chapter 12 Solutions
Computer Systems: A Programmer's Perspective (3rd Edition)
Ch. 12.1 - Prob. 12.1PPCh. 12.1 - Prob. 12.2PPCh. 12.2 - Practice Problem 12.3 (solution page 1036) In...Ch. 12.2 - Practice Problem 12.4 (solution page 1036) In the...Ch. 12.4 - Prob. 12.5PPCh. 12.4 - Prob. 12.6PPCh. 12.5 - Prob. 12.7PPCh. 12.5 - Prob. 12.8PPCh. 12.5 - Prob. 12.9PPCh. 12.5 - Prob. 12.10PP
Ch. 12.6 - Prob. 12.11PPCh. 12.7 - Prob. 12.12PPCh. 12.7 - Prob. 12.13PPCh. 12.7 - Prob. 12.14PPCh. 12.7 - Prob. 12.15PPCh. 12 - Prob. 12.20HWCh. 12 - Derive a solution to the second readers-writers...Ch. 12 - Prob. 12.22HWCh. 12 - Prob. 12.23HWCh. 12 - Prob. 12.24HWCh. 12 - Prob. 12.25HWCh. 12 - Prob. 12.26HWCh. 12 - Some network programming texts suggest the...Ch. 12 - Prob. 12.28HWCh. 12 - Prob. 12.29HWCh. 12 - Prob. 12.30HWCh. 12 - Implement a version of the standard I/O fgets...Ch. 12 - Prob. 12.32HWCh. 12 - Prob. 12.33HWCh. 12 - Prob. 12.34HWCh. 12 - Prob. 12.35HWCh. 12 - Prob. 12.36HWCh. 12 - Prob. 12.37HWCh. 12 - Prob. 12.38HWCh. 12 - Prob. 12.39HW
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