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anzhelika [568]
2 years ago
6

What will you see on the next line?

Computers and Technology
2 answers:
faust18 [17]2 years ago
6 0

Answer:

2

Explanation:

Margarita [4]2 years ago
4 0

Answer:

2

Explanation:

2 is the zero-based index of 3.5 in the array. (I.e., the first element has index 0)

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I stole you pokemon cards :o
Mademuasel [1]

Answer:

no not my prize possessions it took me years to get them

4 0
2 years ago
Read 2 more answers
Determine the number of cache sets (S), tag bits (t), set index bits (s), and block offset bits (b) for a 40964096-byte cache us
pogonyaev

Complete Question:

Determine the number of cache sets (S), tag bits (t), set  index bits (s), and block offset bits (b) for a 4096-byte cache using 32-bit memory addresses, 8-byte cache blocks and a 8-way associative design. The cache has :

Cache size = 1024 bytes, sets t = 26.8, tag bits, s = 3.2, set index bit =2

Answer:

Check below for explanations

Explanation:

Cache size = 4096 bytes = 2¹² bytes

Memory address bit = 32

Block size = 8 bytes = 2³ bytes

Cache line = (cache size)/(Block size)

Cache line = \frac{2^{12} }{2^{3} }

Cache line = 2⁹

Block offset = 3 (From 2³)

Tag = (Memory address bit - block offset - Cache line bit)

Tag = (32 - 3 - 9)

Tag = 20

Total number of sets = 2⁹ = 512

3 0
2 years ago
In Scheme, the form (symbol-length? 'James) will return: Group of answer choices 0 5 6 error message
Nadya [2.5K]

Answer:

an error message

Explanation:

The return value is the value which is sent back by the function to a place in the code from where the \text{function} was called from. Its main work is to return a value form the function.

In the context, the form of  "(symbol-length? 'James)" in Scheme will return the  value --- ' an error message'.

7 0
2 years ago
Suppose that, even unrealistically, we are to search a list of 700 million items using Binary Search, Recursive (Algorithm 2.1).
damaskus [11]

Answer:

There is also an attachment below

Explanation:

Since we are talking about binary search, let's assume that the items are sorted according to some criteria.

Time complexity of binary search is O(logN) in worst case, best case and average case as well. That means it can search for an item in Log N time where N is size of the input. Here problem talks about the item not getting found. So, this is a worst case scenario. Even in this case, binary search runs in O(logN) time.

N = 700000000.

So, number of comparisions can be log(N) = 29.3 = 29.

So, in the worst case it does comparisions 29 times

7 0
3 years ago
What tool is used to find and organize files on a mac
Margaret [11]

Answer:

the tool is literally called <u><em>The Finder.</em></u>

Explanation:

hope this helps

4 0
2 years ago
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