Answer:
The answer is (C)
Let’s run the algorithm on a small input to see the working process.
Let say we have an array {3, 4, 1, 5, 2, 7, 6}. MAX = 7
- Now for i=0, i < 7/2, here we exchange the value at ith index with value at (MAX-i-1)th index.
- So the array becomes {6, 4, 1, 5, 2, 7, 3}. //value at 0th index =3 and value at (7-0-1)th index is 6.
- Then for i=1, i < 7/2, the value at index 1 and (7-1-1)=5 are swapped.
- So the array becomes {6, 7, 1, 5, 2, 4, 3}.
- Then for i=2, i < 7/2, the value at index 2 and (7-2-1)=4 are swapped.
- So the array becomes {6, 7, 2, 5, 1, 4, 3}.
- Then for i=3, i not < 7/2, so stop here.
- Now the current array is {6, 7, 2, 5, 1, 4, 3} and the previous array was{3, 4, 1, 5, 2, 7, 6}.
Explanation:
So from the above execution, we got that the program reverses the numbers stored in the array.
It’s a making sections about what algorithms to use
logic gate (AND, OR, XOR, NOT, NAND, NOR and XNOR) A logic gate is an elementary building block of a digital circuit. Most logic gates have two inputs and one output. At any given moment, every terminal is in one of the two binary conditions low (0) or high (1), represented by different voltage levels.Mar 6, 2018
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Answer:
Chech the explanation
Explanation:
<em>In [16]:</em>
<em />
# Your answer to this question might be written on more than a line.
datascience_trials = make_array()
for i in np.arange(1000):
datascience_trials = np.append(datascience_trials, simulate_several_key_strikes(1))
datascience_proportion = np.count_nonzero(datascience_trials == 'datascience')/1000
datascience_proportion
<em>Out [16]:</em>
0.0
<em>In [17]:</em>
_ = ok.grade('q2_4')
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#Running tests
