Some numbers are not meant to be read out loud as they might bring a bad luck. Given a list of integers L, a number is considered unlucky if it is surrounded by numbers that end with the same digit. Specifically, the number L[i] is unlucky if the numbers before ( L[i-1] ) and after ( L[i+1] ) end with the same digit. For example, consider L = [4,12,7,2,17]. 7 is unlucky because it is surrounded by 12 and 2 (both 12 and 2 end with the same digit). 2 is also unlucky because it is surrounded by 7 and 17 (both of 7 and 17 end with the same digit). Write a function read_silently(nums: list[int]) -> list[int] that takes a list of integers and returns a new list where all unlucky number are removed. It is important to note that the same number may appear multiple times in the input list and it could be the case that some of them are considered unlucky while others are not. This is because our definition of unluckiness depends on the surrounding numbers. Examples read_silently([1,2,5,12,15]) == [1,2,15] # 5 and 12 are unlucky read_silently([2,4,12,14,2,8]) [2,2,8] # 4,12,14 are unlucky read_silently([2,22,222,2222]) [2,2222] # 22 and 222 are unlucky == read silently([10.4.0.4.71) == [10,4.71 # first 4 and 0 are unlucky, the second 4 is fine

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Python Language - Bad Luck Numbers

Some numbers are not meant to be read out loud as they might bring a bad luck.
Given a list of integers L, a number is considered unlucky if it is surrounded by
numbers that end with the same digit. Specifically, the number L[i] is unlucky if
the numbers before ( L[i-1] ) and after ( L[i+1] ) end with the same digit.
For example, consider L =
[4,12,7,2,17] . 7 is unlucky because it is surrounded
by 12 and 2 (both 12 and 2 end with the same digit). 2 is also unlucky
because it is surrounded by 7 and 17 (both of 7 and 17 end with the same digit).
Write a function read_silently(nums: list[int]) -> list[int] that takes a
list of integers and returns a new list where all unlucky number are removed.
It is important to note that the same number may appear multiple times in the input
list and it could be the case that some of them are considered unlucky while others
are not. This is because our definition of unluckiness depends on the surrounding numbers.
Examples
read_silently([1,2,5,12,15])
[1,2,15] # 5 and 12 are unlucky
==
read_silently([2,4,12,14,2,8])
[2,2,8] # 4,12,14 are unlucky
# 22 and 222 are unlucky
==
read_silently([2,22,222,2222])
[2,2222]
==
read_silently([10,4,0,4,7]) ==
[10,4,7] # first 4 and e are unlucky, the second 4 is fine
Transcribed Image Text:Some numbers are not meant to be read out loud as they might bring a bad luck. Given a list of integers L, a number is considered unlucky if it is surrounded by numbers that end with the same digit. Specifically, the number L[i] is unlucky if the numbers before ( L[i-1] ) and after ( L[i+1] ) end with the same digit. For example, consider L = [4,12,7,2,17] . 7 is unlucky because it is surrounded by 12 and 2 (both 12 and 2 end with the same digit). 2 is also unlucky because it is surrounded by 7 and 17 (both of 7 and 17 end with the same digit). Write a function read_silently(nums: list[int]) -> list[int] that takes a list of integers and returns a new list where all unlucky number are removed. It is important to note that the same number may appear multiple times in the input list and it could be the case that some of them are considered unlucky while others are not. This is because our definition of unluckiness depends on the surrounding numbers. Examples read_silently([1,2,5,12,15]) [1,2,15] # 5 and 12 are unlucky == read_silently([2,4,12,14,2,8]) [2,2,8] # 4,12,14 are unlucky # 22 and 222 are unlucky == read_silently([2,22,222,2222]) [2,2222] == read_silently([10,4,0,4,7]) == [10,4,7] # first 4 and e are unlucky, the second 4 is fine
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