Answer:
Explanation:
This program is written in Python. It is a function that takes in two arrays. Then it loops through the first array twice, adding each element with the others and comparing the sum to the values in the second array. If a similar value is found in the second array, the program prints out the value and returns True to the user. Otherwise, it returns False. A test case has been created with two array variables that print out False, the output can be seen in the attached image below.
def sumArray(arr1, arr2):
for i in range(len(arr1)):
for x in range(len(arr1)):
sum = 0
if i != x:
sum = arr1[i] + arr1[x]
if sum in arr2:
print(str(sum) + "Found in Second Array")
return True
return False
arr1 = [1, 9, 10, 44]
arr2 = [2, 4, 8, 14]
print(sumArray(arr1, arr2))
Answer:
i think it helps
Explanation:
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Based on the Microsoft Excel data validation, the option that is not an Error Style for data validation is the <em><u>choice that does not show an error alert.</u></em>
Given that there is no option available, the best way to answer this question is to show the types of Error Styles for data validation available.
<h3>Different types of Error Style for data validation</h3>
- Stop style: this will bring the option of "Retry, " "Cancel, " and "Help."
- Warning style: this will show "Continue," with options of "Yes," "No," "Cancel," and "Help."
- Information Style: this will ask you to input the whole number with the option of "Ok," "Cancel," and "Help."
Hence, in this case, it is concluded that the Error Style for data validation is Stop, Warning, and Information Style.
Learn more about Error Style for data validation here: brainly.com/question/18497347
From what i learned from school, have a theme for the presentation and only have 1-3 pictures per slide that aren’t too big but small enough so you can read and see, also pictures that are self explanatory
Answer:
Edge computing was developed due to the exponential growth of IoT devices, which connect to the internet for either receiving information from the cloud or delivering data back to the cloud. And many IoT devices generate enormous amounts of data during the course of their operations.
Explanation:
