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Why don't we use an extreme large prime (eg: around 2 million) for the table size
What does the concept of a collision mean in the context of hashing?
Which of the following operations is not part of the Dictionary ADT?
If I was to loop over this Iterator, how many times would it iterate?
class NumberIterator: def __init__(self): self.current = 1 def __iter__(self): return self def __next__(self): if self.current > 10: raise StopIteration() next_item = self.current self.current += 2 return next_item
If we were to compare Queue ADT's append()
and serve()
method operations implemented using linked nodes vs using array, which one is more efficient in terms of worst-case time complexity of their operations?
I want to add a new method to the Linked Stack class to combine the current stack self
with another stack other
provided as an argument. You may see this as an in-place update of stack self
. What would be the worst-case time complexity of this operation assuming that n is the length of self
and m is the length of other
?For example, if I had the following stacks:
self: 1 -> 2 -> 3 -> 4 -> 5 [1 is the top element]
other: 6 -> 7 -> 8 -> 9 -> 10 [6 is the top element]
The result should be:
self: 6 -> 7 -> 8 -> 9 -> 10 -> 1 -> 2 -> 3 -> 4 -> 5 [6 is the top element]
I wish to make a container class to be iterable. Which of the following statements are true?
The main operations of the Queue ADT are append()
and serve()
. We wish to implement the queue using linked nodes. What are the time complexities of these methods? We can assume n is referring to the number of elements currently in the queue.
I have a List class and I wish to create an Iterator for it. What are the benefits of putting the Iterator in a separate class?
What is TRUE about a Python Generator?
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