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MAVERICK [17]
1 year ago
14

A(n) ____ is an electronic device, operating under the control of instructions stored in its own memory, that can accept data, p

rocess the data according to specified rules, produce results, and store the results for future use.
Computers and Technology
1 answer:
AveGali [126]1 year ago
8 0
A computer. 
Core components of a computer
Processor (cpu): can compute instructions 
RAM (random access memory): Holds running processes. 
HDD( hard disk drive): Stores data, e.g. pictures, documents, games etc. 
Motherboard: Allows devices to communicate with each other via a "bus". 
Power Supply (PSU): converts AC current to DC, providing the computer with power. 
You might be interested in
"Create a Python program named detect_column_level_data_entry_errors. When complete, you will run this program to produce a diag
11111nata11111 [884]

Answer:

See explaination

Explanation:

Code for detect_column_level_data_entry_errors.py:

# File: detect_column_level_data_entry_errors.py

# The program will produce a diagnostic report that shows data entry errors that cause column

# totals in the data to be out of balance. Will need to fix cleaned_data.txt until errors resolved.

def main():

input_filename = input('Please enter the input filename: ')

infile = open(input_filename, 'r', encoding='utf8')

total_males = 0

total_females = 0

sum_total = 0

print('\n{0:^40}'.format('Column-Level Data Entry Errors'))

print('\n{0:<10}{1:>10}{2:>10}{3:>10}'.format(

'Age Group', 'Males', 'Females', 'Total'))

for line in infile:

age_group, males, females, total = line.split()

males = int(males)

females = int(females)

total = int(total)

print('{0:<10}{1:>10,}{2:>10,}{3:>10,}'.format(

age_group, males, females, total))

if age_group != 'Total':

total_males = males + total_males

total_females = females + total_females

sum_total = total + sum_total

else:

print('{0:<10}{1:>10,}{2:>10,}{3:>10,}'.format(

'Error', (males-total_males), (females-total_females), (total-sum_total)))

infile.close()

main()

8 0
2 years ago
You are consulting for a trucking company that does a large amount ofbusiness shipping packages between New York and Boston. The
likoan [24]

Answer:

Answer explained with detail below

Explanation:

Consider the solution given by the greedy algorithm as a sequence of packages, here represented by indexes: 1, 2, 3, ... n. Each package i has a weight, w_i, and an assigned truck t_i. { t_i } is a non-decreasing sequence (as the k'th truck is sent out before anything is placed on the k+1'th truck). If t_n = m, that means our solution takes m trucks to send out the n packages.

If the greedy solution is non-optimal, then there exists another solution { t'_i }, with the same constraints, s.t. t'_n = m' < t_n = m.

Consider the optimal solution that matches the greedy solution as long as possible, so \for all i < k, t_i = t'_i, and t_k != t'_k.

t_k != t'_k => Either

1) t_k = 1 + t'_k

    i.e. the greedy solution switched trucks before the optimal solution.

    But the greedy solution only switches trucks when the current truck is full. Since t_i = t'_i i < k, the contents of the current truck after adding the k - 1'th package are identical for the greedy and the optimal solutions.

    So, if the greedy solution switched trucks, that means that the truck couldn't fit the k'th package, so the optimal solution must switch trucks as well.

    So this situation cannot arise.

  2) t'_k = 1 + t_k

     i.e. the optimal solution switches trucks before the greedy solution.

     Construct the sequence { t"_i } s.t.

       t"_i = t_i, i <= k

       t"_k = t'_i, i > k

     This is the same as the optimal solution, except package k has been moved from truck t'_k to truck (t'_k - 1). Truck t'_k cannot be overpacked, since it has one less packages than it did in the optimal solution, and truck (t'_k - 1)

     cannot be overpacked, since it has no more packages than it did in the greedy solution.

     So { t"_i } must be a valid solution. If k = n, then we may have decreased the number of trucks required, which is a contradiction of the optimality of { t'_i }. Otherwise, we did not increase the number of trucks, so we created an optimal solution that matches { t_i } longer than { t'_i } does, which is a contradiction of the definition of { t'_i }.

   So the greedy solution must be optimal.

6 0
2 years ago
Row array gameScores contains all player scores. Construct a row array highScores than contains all player scores greater than m
Sever21 [200]

Answer:

The solution is written using Python as it has a simple syntax.

  1. def getHighScores(gameScores, minScore):
  2.    meetsThreshold = []
  3.    for score in gameScores:
  4.        if(score > minScore):
  5.            meetsThreshold.append(score)
  6.    return meetsThreshold
  7. gameScores = [2, 5, 7, 6, 1, 9, 1]
  8. minScore = 5
  9. highScores = getHighScores(gameScores, minScore)
  10. print(highScores)

Explanation:

Line 1-8

  • Create a function and name it as <em>getHighScores</em> which accepts two values, <em>gameScores</em> and <em>minScore</em>. (Line 1)
  • Create an empty list/array and assign it to variable <em>meetsThreshold</em>. (Line 2)
  • Create a for loop to iterate through each of the score in the <em>gameScores</em> (Line 4)
  • Set a condition if the current score is bigger than the <em>minScore</em>, add the score into the <em>meetsThreshold</em> list (Line 5-6)
  • Return <em>meetsThreshold</em> list as the output

Line 11-12

  • create a random list of <em>gameScores</em> (Line 11)
  • Set the minimum score to 5 (Line 12)

Line 13-14

  • Call the function <em>getHighScores()</em> and pass the<em> gameScores</em> and <em>minScore </em>as the arguments. The codes within the function <em>getHighScores()</em>  will run and return the <em>meetsThreshold </em>list and assign it to <em>highScores.</em> (Line 13)
  • Display <em>highScores</em> using built-in function print().
8 0
1 year ago
It has been said that the quality of our relationships depends in large part on the quality of our
timurjin [86]

Answer:

people

Explanation:

6 0
2 years ago
The groups_per_user function receives a dictionary, which contains group names with the list of users. Users can belong to multi
Akimi4 [234]

The groups_per_user function receives a dictionary, which contains group names with the list of users.

Explanation:

The blanks to return a dictionary with the users as keys and a list of their groups as values is shown below :

def groups_per_user(group_dictionary):

   user_groups = {}

   # Go through group_dictionary

   for group,users in group_dictionary.items():

       # Now go through the users in the group

       for user in users:

       # Now add the group to the the list of

         # groups for this user, creating the entry

         # in the dictionary if necessary

         user_groups[user] = user_groups.get(user,[]) + [group]

   return(user_groups)

print(groups_per_user({"local": ["admin", "userA"],

       "public":  ["admin", "userB"],

       "administrator": ["admin"] }))

3 0
2 years ago
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