The option that best explains why the error occurs is that The program can only use a fixed number of bits to represent integers; the computed sum is greater than the maximum representable value.
<h3>Can programs represent integers?</h3>
An integer value is known to be often listed out in the source code of a program in a way called a sequence of digits that is said to be optionally prefixed with + or −. Note that some programming languages do use other notations, like hexadecimal.
Computers are known to use a a fixed number of bits to show an integer. The most -used bit-lengths for integers are known to be 8-bit, 16-bit, 32-bit or 64-bit.
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Answer:
The two main goals are to reach CMM level 5, and when the company can be termed as optimized.
The second goal is to minimize the bugs at the current level as well. And this is important, as improvement is one thing, and ensuring you are correct at the current time is another, and which is essential for survival. And you can think of improvement only if you survive.
Explanation:
The dream of all companies is to become Optimized. And they always try to reach CMM level 5, such that they can serve their clients in the best possible manner. And it is the quality assurance team that keeps an eye on the working of the company and keeps on giving their feedback so that the team can provide better service to the clients in the future, and probably reach the CMMI level 5.
The control program makes the operating system better through the development of an environment in which one can run various other programs. And it, in general, formulates the graphical interface and leverage you to run various programs at one time in various windows. And the control programs are also being known as the operating environment.
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
