In Python, tuples are indeed a data structure that also stores an ordered sequence of unchanging values, and following are the Python program to the given question:
Program Explanation:
- Defining a method "add_tuples" that takes three variables "firstTuple, secondTuple, thirdTuple" into the parameter.
- After accepting the parameter value a return keyword is used that adds a <em><u>single tuple with two values</u></em> and returns its value into the form of (x,y).
- Outside the method, two print method is declared that calls the above method by passing value into its parameters.
Program:
def add_tuples(firstTuple, secondTuple, thirdTuple):#defining a method add_tuples that takes three variable in parameters
return firstTuple[0]+secondTuple[0]+thirdTuple[0],firstTuple[1]+secondTuple[1]+thirdTuple[1] #using return keyword to add value
print(add_tuples((1,4), (8,3), (14,0)))#defining print method that calls add_tuples method takes value in parameters
print(add_tuples((3,2), (11,1), (-2,6)))#defining print method that calls add_tuples method takes value in parameters
Output:
Please find the attached file.
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Answer:
Start the algorithm and check the weight of the ship. Load the crystalline to the ship. Check to see if the ship weighs ship weight + k pound crystalline, if less, add more crystalline. If excess, remove the excess crystalline, but if the weight meets the condition, then take off with the loaded ship to planet sigma.
Explanation:
The algorithm continuously checks the weight of the ship on loading with the calculated sum of the ship and k pound crystalline weight. The ship is able to load the correct maximum amount of crystalline to the planet sigma.
Answer: It arranges text in a list alphabetically from A to Z.
Explanation: It's always easier and more systematic to arrange alphabetically. With numbers there is the possibility of infinity but not with alphabet which have a defined range.
By using cpu-z or the performance ran in taskmgr
Answer:
The comparison is based on memory organization schemes of contiguous memory allocation and paging with respect to External fragmentation, Internal fragmentation and Ability to share code across processes.
Explanation:
Memory organization schemes of contiguous memory allocation:
Contiguous memory allocation schemes suffers from external fragmentation. The reason is that address space is distributed contiguously and the holes and gaps keep growing when the old processes die and new processes are introduced. The variable size partition suffers from external fragmentation however the fixed size partitions do not suffer from external fragmentation. Contiguous memory allocation with variable size partitions does not encounter an internal fragmentation but with fixed size partitions suffers from internal fragmentation. Contiguous memory allocation does not support sharing code across processes. This is because the virtual memory segment of a process is not fragmented into non-contiguous fine grained blocks.
Paging:
Paging does not encounter external fragmentation as pages are of the fixed or equal size. So this reduces external fragmentation. However paging suffers from internal fragmentation. This is because a process can request more space or it can request for a less space. When page is allocated to the such a process that page is no longer utilized.This results in internal fragmentation because of the wastage of space even when the page has internal space but cannot be fully utilized. Paging allows to share code across processes.
