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TEA [102]
2 years ago
11

The groups_per_user function receives a dictionary, which contains group names with the list of users. Users can belong to multi

ple groups. Fill in the blanks to return a dictionary with the users as keys and a list of their groups as values.
def groups_per_user(group_dictionary):
user_groups = {}
# Go through group_dictionary
for ___:
# Now go through the users in the group
for ___: # Now add the group to the the list of
# groups for this user, creating the entry
# in the dictionary if necessary
return(user_groups)
print(groups_per_user({"local": ["admin", "userA"],
"public": ["admin", "userB"],
"administrator": ["admin"] }))
Computers and Technology
1 answer:
Akimi4 [234]2 years ago
3 0

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"] }))

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Answer:

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Explanation:

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Answer:

Explanation:

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Simple to use and understand

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Some functions can be quickly be developed at the beginning of the development lifecycle

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Iterative model requires more resources than the waterfall model

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Spiral SDLC Model

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