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"""
A collection of utilities for working with lists.
"""
"""
Finds the largest value in the list.
"""
def largest(lst):
max = lst[0]
for i in range(1, len(lst)):
if lst[i] > max:
max = lst[i]
return max
"""
Sorts the list according to the "natural order" of the values.
Sorts ascending if "asc" is True, and descending if it is False.
"""
def sort(lst, asc):
for i in range(len(lst)):
if asc:
idx = findSmallest(lst, i)
else:
idx = findLargest(lst, i)
swap(lst, i, idx)
return lst
"""
Helper function to find the largest element in the list starting
at index "start"
"""
def findLargest(lst, start):
max = lst[start]
idx = start
for i in range(start + 1, len(lst)):
if lst[i] > max:
max = lst[i]
idx = i
return idx
"""
Helper function to find the smallest element in the list starting
at index "start"
"""
def findSmallest(lst, start):
max = lst[start]
idx = start
for i in range(start + 1, len(lst)):
if lst[i] < max:
max = lst[i]
idx = i
return idx
"""
Helper function to swap two values in a list
"""
def swap(lst, a, b):
tmp = lst[a]
lst[a] = lst[b]
lst[b] = tmp
"""
Returns the average of the numerical values in the list.
Ignores values that are not numbers, and returns 0 if there are none.
"""
def average(lst):
total = 0
count = 0
for value in lst:
if isinstance(value, (int, float)):
total += value
count += 1
if count == 0:
return 0
return total / count
"""
Function to determine whether a list contains a target value
using binary search
"""
def search(lst, target):
low = 0
high = len(lst) - 1
found = False
while high >= low and not found:
mid = (high + low) // 2
if (lst[mid] == target):
found = True
elif (lst[mid] > target):
high = mid - 1
else:
low = mid + 1
return found
def is_sorted(lst):
for i in range(len(lst) - 1):
if lst[i] > lst[i + 1]:
return False
return True
"""
Some test cases for the sort and search functions
"""
def main():
a = [5, 7, 1, 8, 3]
print(largest(a))
print(f"Is the list sorted: {is_sorted(a)}")
sort(a, True)
print(a)
print(search(a, 7))
if __name__ == "__main__":
main()