CTCI Chapter 1 : Palindrome PermutationSimple palindrome function for single wordsPalindrome testerChecking...
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CTCI Chapter 1 : Palindrome Permutation
Simple palindrome function for single wordsPalindrome testerChecking if any permutation of a string can make it palindromePalindrome ValidatorNext PalindromeDetermining if a string is a palindrome of a permutationTest if a string is a palindromeCheck if a string is a permutation of a palindrome using PythonCheck string is permutation of palindromeCheck if a string is a permutation of a palindrome
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ margin-bottom:0;
}
$begingroup$
Below is my code for the problem 1.4 in CTCI. I would like a review of my code and if my approach to the problem is correct.
Problem Statement:
Palindrome Permutation: Given a string, write a function to check if it is a permutation of
a palindrome. A palindrome is a word or phrase that is the same forwards and backwards. A
permutation is a rearrangement of letters. The palindrome does not need to be limited to just
dictionary words.
EXAMPLE
Input: Tact Coa
Output: True (permutations:"taco cat'; "atco cta'; etc.)
My Solution (Python):
def checkPalindromeAndPermutation(inputstr):
lengthOfInputString = len(inputstr)
counterforodd = 0
actualCharactersInInput = 0
inputstr = inputstr.lower()
hashTable = dict()
for i in inputstr:
if i != " ":
hashTable[i] = hashTable.get(i, 0) + 1
actualCharactersInInput = actualCharactersInInput + 1
print(hashTable)
for item in hashTable:
# if input has even length, but each character's frequency is not even, then it's not a plaindrome
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
return False
# if input has odd length, but more than one character's frequency is greater than 1 , then it's not a plaindrome
if actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
counterforodd = counterforodd + 1
if counterforodd > 1:
return False
return True
print("Answer : " , checkPalindromeAndPermutation("abc bac"))
python palindrome
New contributor
$endgroup$
add a comment |
$begingroup$
Below is my code for the problem 1.4 in CTCI. I would like a review of my code and if my approach to the problem is correct.
Problem Statement:
Palindrome Permutation: Given a string, write a function to check if it is a permutation of
a palindrome. A palindrome is a word or phrase that is the same forwards and backwards. A
permutation is a rearrangement of letters. The palindrome does not need to be limited to just
dictionary words.
EXAMPLE
Input: Tact Coa
Output: True (permutations:"taco cat'; "atco cta'; etc.)
My Solution (Python):
def checkPalindromeAndPermutation(inputstr):
lengthOfInputString = len(inputstr)
counterforodd = 0
actualCharactersInInput = 0
inputstr = inputstr.lower()
hashTable = dict()
for i in inputstr:
if i != " ":
hashTable[i] = hashTable.get(i, 0) + 1
actualCharactersInInput = actualCharactersInInput + 1
print(hashTable)
for item in hashTable:
# if input has even length, but each character's frequency is not even, then it's not a plaindrome
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
return False
# if input has odd length, but more than one character's frequency is greater than 1 , then it's not a plaindrome
if actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
counterforodd = counterforodd + 1
if counterforodd > 1:
return False
return True
print("Answer : " , checkPalindromeAndPermutation("abc bac"))
python palindrome
New contributor
$endgroup$
add a comment |
$begingroup$
Below is my code for the problem 1.4 in CTCI. I would like a review of my code and if my approach to the problem is correct.
Problem Statement:
Palindrome Permutation: Given a string, write a function to check if it is a permutation of
a palindrome. A palindrome is a word or phrase that is the same forwards and backwards. A
permutation is a rearrangement of letters. The palindrome does not need to be limited to just
dictionary words.
EXAMPLE
Input: Tact Coa
Output: True (permutations:"taco cat'; "atco cta'; etc.)
My Solution (Python):
def checkPalindromeAndPermutation(inputstr):
lengthOfInputString = len(inputstr)
counterforodd = 0
actualCharactersInInput = 0
inputstr = inputstr.lower()
hashTable = dict()
for i in inputstr:
if i != " ":
hashTable[i] = hashTable.get(i, 0) + 1
actualCharactersInInput = actualCharactersInInput + 1
print(hashTable)
for item in hashTable:
# if input has even length, but each character's frequency is not even, then it's not a plaindrome
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
return False
# if input has odd length, but more than one character's frequency is greater than 1 , then it's not a plaindrome
if actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
counterforodd = counterforodd + 1
if counterforodd > 1:
return False
return True
print("Answer : " , checkPalindromeAndPermutation("abc bac"))
python palindrome
New contributor
$endgroup$
Below is my code for the problem 1.4 in CTCI. I would like a review of my code and if my approach to the problem is correct.
Problem Statement:
Palindrome Permutation: Given a string, write a function to check if it is a permutation of
a palindrome. A palindrome is a word or phrase that is the same forwards and backwards. A
permutation is a rearrangement of letters. The palindrome does not need to be limited to just
dictionary words.
EXAMPLE
Input: Tact Coa
Output: True (permutations:"taco cat'; "atco cta'; etc.)
My Solution (Python):
def checkPalindromeAndPermutation(inputstr):
lengthOfInputString = len(inputstr)
counterforodd = 0
actualCharactersInInput = 0
inputstr = inputstr.lower()
hashTable = dict()
for i in inputstr:
if i != " ":
hashTable[i] = hashTable.get(i, 0) + 1
actualCharactersInInput = actualCharactersInInput + 1
print(hashTable)
for item in hashTable:
# if input has even length, but each character's frequency is not even, then it's not a plaindrome
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
return False
# if input has odd length, but more than one character's frequency is greater than 1 , then it's not a plaindrome
if actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
counterforodd = counterforodd + 1
if counterforodd > 1:
return False
return True
print("Answer : " , checkPalindromeAndPermutation("abc bac"))
python palindrome
python palindrome
New contributor
New contributor
edited 4 hours ago
200_success
135k21 gold badges173 silver badges443 bronze badges
135k21 gold badges173 silver badges443 bronze badges
New contributor
asked 10 hours ago
Manas TripathiManas Tripathi
212 bronze badges
212 bronze badges
New contributor
New contributor
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
Nice implementation.
Here are a couple suggestions
collections.defaultdict
Intead of hashTable[i] = hashTable.get(i, 0) + 1
, use collections.defaultdict
charcount = defaultdict(int)
for char in inputStr:
charcount[char] += 1
actualCharactersInInput = len(inputStr) - charcount[' ']
collections.Counter
Or better yet, use a Counter:
charcount = collections.Counter(inputStr)
actualCharactersInInput = len(inputStr) - charcount[' ']
other
if actualCharactersInInput % 2:
# odd number of chars
return sum(count%2 for count in charcount.values()) == 1
else:
# even number of chars
return not any(count % 2 for count in charcount.values())
$endgroup$
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
add a comment |
$begingroup$
This looks correct! Here are my thoughts on the code:
- Per PEP-8, use
snake_case
for variable names andPascalCase
for class names. - Use Python builtins. Python makes frequency counting effortless using
collections.Counter
. - Unused variable:
lengthOfInputString
. A static code analysis tool like a linter can spot this. - Avoid variable names like
hashMap
. Something likefreq_count
,seen
orchar_count
is clearer. - Avoid using
i
as the loop block variable infor i in enumerable:
. Reservei
for index variables and prefer something likec
orelem
that describes the variable more accurately. - The function name,
checkPalindromeAndPermutation
, doesn't accurately describe what the function does, long as it is. I preferis_palindrome_permutation
orpalindrome_permutation
. - Remove all
print
statements from your functions to avoid side effects. - While I'm not a fan of inline comments, the comments in this program explain the logic nicely (typo and horizontal scrolling aside). Consider moving them to the function docstring, though, which summarizes the entire function neatly and gets out of the way of the code.
actualCharactersInInput
can be replaced withlen(s)
assuming you don't mind stripping whitespace beforehand. Having a separate cached variable for holdinglen()
is generally poor practice because the overhead of the function call is worth it to improve readability and reduce the risk of subtle bugs (len()
and cached value going out of sync).- Use
foo += 1
instead offoo = foo + 1
to increment an integer.
Branching inside the
for
loop doesn't make much sense since the length ofactualCharactersInInput
is fixed. It makes more sense to pick a branch and stick to it as a human might do naturally if performing this task by hand.
Instead of:
for item in hashTable:
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
...
elif actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
#^^^ we can use elif since the conditional is disjoint
...
try:
if actualCharactersInInput % 2 == 0:
for item in hashTable:
if hashTable[item] % 2 != 0:
...
else:
for item in hashTable:
if hashTable[item] % 2 == 1:
...
Luckily, branch prediction will make the performance impact negligible even if we apply the conditional inside the loop, so this is mostly about reducing cognitive load on the programmer and isn't a hard-line rule.
Here's a possible re-write:
from collections import Counter
def permuted_palindrome(s):
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
This can cause a performance drop because of a lack of early return option. Benchmark the impact and make a call of performance vs brevity based on your use case.
I recommend validating correctness on any algorithm that's easily written using a clear-cut brute force method:
from collections import Counter
from itertools import permutations
from random import randint as rnd
def permuted_palindrome(s):
'''
Determines if a string is a permuted palindrome.
A string is a permuted palindrome if:
1. the string is of odd length and has 1 or fewer
characters with an odd number of occurrences.
- or -
2. the string is of even length and has no
characters with an odd number of occurrences.
>>> permuted_palindrome("aaa")
True
>>> permuted_palindrome("aaab")
False
>>> permuted_palindrome("aaaab")
True
>>> permuted_palindrome("aaaabc")
False
>>> permuted_palindrome("aaaabcc")
True
'''
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
def brute_permuted_palindrome(s):
return any(x == x[::-1] for x in permutations("".join(s.lower().split())))
if __name__ == "__main__":
tests = 1000
passes = 0
for x in range(tests):
s = "".join(chr(rnd(65, 70)) for x in range(rnd(1, 10)))
if brute_permuted_palindrome(s) == permuted_palindrome(s):
passes += 1
print(f"passed {passes}/{tests} tests")
Randomization doesn't guarantee perfect coverage, but it's an easy way to be pretty certain your code works and can often catch edge cases that might be overlooked in enumeration (best to do both).
This snippet also shows how you might include a full docstring with doctests and uses the if __name__ == "__main__":
guard which makes your module easily importable.
$endgroup$
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
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votes
active
oldest
votes
$begingroup$
Nice implementation.
Here are a couple suggestions
collections.defaultdict
Intead of hashTable[i] = hashTable.get(i, 0) + 1
, use collections.defaultdict
charcount = defaultdict(int)
for char in inputStr:
charcount[char] += 1
actualCharactersInInput = len(inputStr) - charcount[' ']
collections.Counter
Or better yet, use a Counter:
charcount = collections.Counter(inputStr)
actualCharactersInInput = len(inputStr) - charcount[' ']
other
if actualCharactersInInput % 2:
# odd number of chars
return sum(count%2 for count in charcount.values()) == 1
else:
# even number of chars
return not any(count % 2 for count in charcount.values())
$endgroup$
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
add a comment |
$begingroup$
Nice implementation.
Here are a couple suggestions
collections.defaultdict
Intead of hashTable[i] = hashTable.get(i, 0) + 1
, use collections.defaultdict
charcount = defaultdict(int)
for char in inputStr:
charcount[char] += 1
actualCharactersInInput = len(inputStr) - charcount[' ']
collections.Counter
Or better yet, use a Counter:
charcount = collections.Counter(inputStr)
actualCharactersInInput = len(inputStr) - charcount[' ']
other
if actualCharactersInInput % 2:
# odd number of chars
return sum(count%2 for count in charcount.values()) == 1
else:
# even number of chars
return not any(count % 2 for count in charcount.values())
$endgroup$
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
add a comment |
$begingroup$
Nice implementation.
Here are a couple suggestions
collections.defaultdict
Intead of hashTable[i] = hashTable.get(i, 0) + 1
, use collections.defaultdict
charcount = defaultdict(int)
for char in inputStr:
charcount[char] += 1
actualCharactersInInput = len(inputStr) - charcount[' ']
collections.Counter
Or better yet, use a Counter:
charcount = collections.Counter(inputStr)
actualCharactersInInput = len(inputStr) - charcount[' ']
other
if actualCharactersInInput % 2:
# odd number of chars
return sum(count%2 for count in charcount.values()) == 1
else:
# even number of chars
return not any(count % 2 for count in charcount.values())
$endgroup$
Nice implementation.
Here are a couple suggestions
collections.defaultdict
Intead of hashTable[i] = hashTable.get(i, 0) + 1
, use collections.defaultdict
charcount = defaultdict(int)
for char in inputStr:
charcount[char] += 1
actualCharactersInInput = len(inputStr) - charcount[' ']
collections.Counter
Or better yet, use a Counter:
charcount = collections.Counter(inputStr)
actualCharactersInInput = len(inputStr) - charcount[' ']
other
if actualCharactersInInput % 2:
# odd number of chars
return sum(count%2 for count in charcount.values()) == 1
else:
# even number of chars
return not any(count % 2 for count in charcount.values())
answered 5 hours ago
RootTwoRootTwo
1,0143 silver badges6 bronze badges
1,0143 silver badges6 bronze badges
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
add a comment |
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
$begingroup$
Thank you so much, I learned something new today :)
$endgroup$
– Manas Tripathi
3 hours ago
add a comment |
$begingroup$
This looks correct! Here are my thoughts on the code:
- Per PEP-8, use
snake_case
for variable names andPascalCase
for class names. - Use Python builtins. Python makes frequency counting effortless using
collections.Counter
. - Unused variable:
lengthOfInputString
. A static code analysis tool like a linter can spot this. - Avoid variable names like
hashMap
. Something likefreq_count
,seen
orchar_count
is clearer. - Avoid using
i
as the loop block variable infor i in enumerable:
. Reservei
for index variables and prefer something likec
orelem
that describes the variable more accurately. - The function name,
checkPalindromeAndPermutation
, doesn't accurately describe what the function does, long as it is. I preferis_palindrome_permutation
orpalindrome_permutation
. - Remove all
print
statements from your functions to avoid side effects. - While I'm not a fan of inline comments, the comments in this program explain the logic nicely (typo and horizontal scrolling aside). Consider moving them to the function docstring, though, which summarizes the entire function neatly and gets out of the way of the code.
actualCharactersInInput
can be replaced withlen(s)
assuming you don't mind stripping whitespace beforehand. Having a separate cached variable for holdinglen()
is generally poor practice because the overhead of the function call is worth it to improve readability and reduce the risk of subtle bugs (len()
and cached value going out of sync).- Use
foo += 1
instead offoo = foo + 1
to increment an integer.
Branching inside the
for
loop doesn't make much sense since the length ofactualCharactersInInput
is fixed. It makes more sense to pick a branch and stick to it as a human might do naturally if performing this task by hand.
Instead of:
for item in hashTable:
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
...
elif actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
#^^^ we can use elif since the conditional is disjoint
...
try:
if actualCharactersInInput % 2 == 0:
for item in hashTable:
if hashTable[item] % 2 != 0:
...
else:
for item in hashTable:
if hashTable[item] % 2 == 1:
...
Luckily, branch prediction will make the performance impact negligible even if we apply the conditional inside the loop, so this is mostly about reducing cognitive load on the programmer and isn't a hard-line rule.
Here's a possible re-write:
from collections import Counter
def permuted_palindrome(s):
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
This can cause a performance drop because of a lack of early return option. Benchmark the impact and make a call of performance vs brevity based on your use case.
I recommend validating correctness on any algorithm that's easily written using a clear-cut brute force method:
from collections import Counter
from itertools import permutations
from random import randint as rnd
def permuted_palindrome(s):
'''
Determines if a string is a permuted palindrome.
A string is a permuted palindrome if:
1. the string is of odd length and has 1 or fewer
characters with an odd number of occurrences.
- or -
2. the string is of even length and has no
characters with an odd number of occurrences.
>>> permuted_palindrome("aaa")
True
>>> permuted_palindrome("aaab")
False
>>> permuted_palindrome("aaaab")
True
>>> permuted_palindrome("aaaabc")
False
>>> permuted_palindrome("aaaabcc")
True
'''
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
def brute_permuted_palindrome(s):
return any(x == x[::-1] for x in permutations("".join(s.lower().split())))
if __name__ == "__main__":
tests = 1000
passes = 0
for x in range(tests):
s = "".join(chr(rnd(65, 70)) for x in range(rnd(1, 10)))
if brute_permuted_palindrome(s) == permuted_palindrome(s):
passes += 1
print(f"passed {passes}/{tests} tests")
Randomization doesn't guarantee perfect coverage, but it's an easy way to be pretty certain your code works and can often catch edge cases that might be overlooked in enumeration (best to do both).
This snippet also shows how you might include a full docstring with doctests and uses the if __name__ == "__main__":
guard which makes your module easily importable.
$endgroup$
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
add a comment |
$begingroup$
This looks correct! Here are my thoughts on the code:
- Per PEP-8, use
snake_case
for variable names andPascalCase
for class names. - Use Python builtins. Python makes frequency counting effortless using
collections.Counter
. - Unused variable:
lengthOfInputString
. A static code analysis tool like a linter can spot this. - Avoid variable names like
hashMap
. Something likefreq_count
,seen
orchar_count
is clearer. - Avoid using
i
as the loop block variable infor i in enumerable:
. Reservei
for index variables and prefer something likec
orelem
that describes the variable more accurately. - The function name,
checkPalindromeAndPermutation
, doesn't accurately describe what the function does, long as it is. I preferis_palindrome_permutation
orpalindrome_permutation
. - Remove all
print
statements from your functions to avoid side effects. - While I'm not a fan of inline comments, the comments in this program explain the logic nicely (typo and horizontal scrolling aside). Consider moving them to the function docstring, though, which summarizes the entire function neatly and gets out of the way of the code.
actualCharactersInInput
can be replaced withlen(s)
assuming you don't mind stripping whitespace beforehand. Having a separate cached variable for holdinglen()
is generally poor practice because the overhead of the function call is worth it to improve readability and reduce the risk of subtle bugs (len()
and cached value going out of sync).- Use
foo += 1
instead offoo = foo + 1
to increment an integer.
Branching inside the
for
loop doesn't make much sense since the length ofactualCharactersInInput
is fixed. It makes more sense to pick a branch and stick to it as a human might do naturally if performing this task by hand.
Instead of:
for item in hashTable:
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
...
elif actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
#^^^ we can use elif since the conditional is disjoint
...
try:
if actualCharactersInInput % 2 == 0:
for item in hashTable:
if hashTable[item] % 2 != 0:
...
else:
for item in hashTable:
if hashTable[item] % 2 == 1:
...
Luckily, branch prediction will make the performance impact negligible even if we apply the conditional inside the loop, so this is mostly about reducing cognitive load on the programmer and isn't a hard-line rule.
Here's a possible re-write:
from collections import Counter
def permuted_palindrome(s):
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
This can cause a performance drop because of a lack of early return option. Benchmark the impact and make a call of performance vs brevity based on your use case.
I recommend validating correctness on any algorithm that's easily written using a clear-cut brute force method:
from collections import Counter
from itertools import permutations
from random import randint as rnd
def permuted_palindrome(s):
'''
Determines if a string is a permuted palindrome.
A string is a permuted palindrome if:
1. the string is of odd length and has 1 or fewer
characters with an odd number of occurrences.
- or -
2. the string is of even length and has no
characters with an odd number of occurrences.
>>> permuted_palindrome("aaa")
True
>>> permuted_palindrome("aaab")
False
>>> permuted_palindrome("aaaab")
True
>>> permuted_palindrome("aaaabc")
False
>>> permuted_palindrome("aaaabcc")
True
'''
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
def brute_permuted_palindrome(s):
return any(x == x[::-1] for x in permutations("".join(s.lower().split())))
if __name__ == "__main__":
tests = 1000
passes = 0
for x in range(tests):
s = "".join(chr(rnd(65, 70)) for x in range(rnd(1, 10)))
if brute_permuted_palindrome(s) == permuted_palindrome(s):
passes += 1
print(f"passed {passes}/{tests} tests")
Randomization doesn't guarantee perfect coverage, but it's an easy way to be pretty certain your code works and can often catch edge cases that might be overlooked in enumeration (best to do both).
This snippet also shows how you might include a full docstring with doctests and uses the if __name__ == "__main__":
guard which makes your module easily importable.
$endgroup$
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
add a comment |
$begingroup$
This looks correct! Here are my thoughts on the code:
- Per PEP-8, use
snake_case
for variable names andPascalCase
for class names. - Use Python builtins. Python makes frequency counting effortless using
collections.Counter
. - Unused variable:
lengthOfInputString
. A static code analysis tool like a linter can spot this. - Avoid variable names like
hashMap
. Something likefreq_count
,seen
orchar_count
is clearer. - Avoid using
i
as the loop block variable infor i in enumerable:
. Reservei
for index variables and prefer something likec
orelem
that describes the variable more accurately. - The function name,
checkPalindromeAndPermutation
, doesn't accurately describe what the function does, long as it is. I preferis_palindrome_permutation
orpalindrome_permutation
. - Remove all
print
statements from your functions to avoid side effects. - While I'm not a fan of inline comments, the comments in this program explain the logic nicely (typo and horizontal scrolling aside). Consider moving them to the function docstring, though, which summarizes the entire function neatly and gets out of the way of the code.
actualCharactersInInput
can be replaced withlen(s)
assuming you don't mind stripping whitespace beforehand. Having a separate cached variable for holdinglen()
is generally poor practice because the overhead of the function call is worth it to improve readability and reduce the risk of subtle bugs (len()
and cached value going out of sync).- Use
foo += 1
instead offoo = foo + 1
to increment an integer.
Branching inside the
for
loop doesn't make much sense since the length ofactualCharactersInInput
is fixed. It makes more sense to pick a branch and stick to it as a human might do naturally if performing this task by hand.
Instead of:
for item in hashTable:
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
...
elif actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
#^^^ we can use elif since the conditional is disjoint
...
try:
if actualCharactersInInput % 2 == 0:
for item in hashTable:
if hashTable[item] % 2 != 0:
...
else:
for item in hashTable:
if hashTable[item] % 2 == 1:
...
Luckily, branch prediction will make the performance impact negligible even if we apply the conditional inside the loop, so this is mostly about reducing cognitive load on the programmer and isn't a hard-line rule.
Here's a possible re-write:
from collections import Counter
def permuted_palindrome(s):
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
This can cause a performance drop because of a lack of early return option. Benchmark the impact and make a call of performance vs brevity based on your use case.
I recommend validating correctness on any algorithm that's easily written using a clear-cut brute force method:
from collections import Counter
from itertools import permutations
from random import randint as rnd
def permuted_palindrome(s):
'''
Determines if a string is a permuted palindrome.
A string is a permuted palindrome if:
1. the string is of odd length and has 1 or fewer
characters with an odd number of occurrences.
- or -
2. the string is of even length and has no
characters with an odd number of occurrences.
>>> permuted_palindrome("aaa")
True
>>> permuted_palindrome("aaab")
False
>>> permuted_palindrome("aaaab")
True
>>> permuted_palindrome("aaaabc")
False
>>> permuted_palindrome("aaaabcc")
True
'''
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
def brute_permuted_palindrome(s):
return any(x == x[::-1] for x in permutations("".join(s.lower().split())))
if __name__ == "__main__":
tests = 1000
passes = 0
for x in range(tests):
s = "".join(chr(rnd(65, 70)) for x in range(rnd(1, 10)))
if brute_permuted_palindrome(s) == permuted_palindrome(s):
passes += 1
print(f"passed {passes}/{tests} tests")
Randomization doesn't guarantee perfect coverage, but it's an easy way to be pretty certain your code works and can often catch edge cases that might be overlooked in enumeration (best to do both).
This snippet also shows how you might include a full docstring with doctests and uses the if __name__ == "__main__":
guard which makes your module easily importable.
$endgroup$
This looks correct! Here are my thoughts on the code:
- Per PEP-8, use
snake_case
for variable names andPascalCase
for class names. - Use Python builtins. Python makes frequency counting effortless using
collections.Counter
. - Unused variable:
lengthOfInputString
. A static code analysis tool like a linter can spot this. - Avoid variable names like
hashMap
. Something likefreq_count
,seen
orchar_count
is clearer. - Avoid using
i
as the loop block variable infor i in enumerable:
. Reservei
for index variables and prefer something likec
orelem
that describes the variable more accurately. - The function name,
checkPalindromeAndPermutation
, doesn't accurately describe what the function does, long as it is. I preferis_palindrome_permutation
orpalindrome_permutation
. - Remove all
print
statements from your functions to avoid side effects. - While I'm not a fan of inline comments, the comments in this program explain the logic nicely (typo and horizontal scrolling aside). Consider moving them to the function docstring, though, which summarizes the entire function neatly and gets out of the way of the code.
actualCharactersInInput
can be replaced withlen(s)
assuming you don't mind stripping whitespace beforehand. Having a separate cached variable for holdinglen()
is generally poor practice because the overhead of the function call is worth it to improve readability and reduce the risk of subtle bugs (len()
and cached value going out of sync).- Use
foo += 1
instead offoo = foo + 1
to increment an integer.
Branching inside the
for
loop doesn't make much sense since the length ofactualCharactersInInput
is fixed. It makes more sense to pick a branch and stick to it as a human might do naturally if performing this task by hand.
Instead of:
for item in hashTable:
if actualCharactersInInput % 2 == 0 and hashTable[item] % 2 != 0:
...
elif actualCharactersInInput % 2 == 1 and hashTable[item] % 2 == 1:
#^^^ we can use elif since the conditional is disjoint
...
try:
if actualCharactersInInput % 2 == 0:
for item in hashTable:
if hashTable[item] % 2 != 0:
...
else:
for item in hashTable:
if hashTable[item] % 2 == 1:
...
Luckily, branch prediction will make the performance impact negligible even if we apply the conditional inside the loop, so this is mostly about reducing cognitive load on the programmer and isn't a hard-line rule.
Here's a possible re-write:
from collections import Counter
def permuted_palindrome(s):
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
This can cause a performance drop because of a lack of early return option. Benchmark the impact and make a call of performance vs brevity based on your use case.
I recommend validating correctness on any algorithm that's easily written using a clear-cut brute force method:
from collections import Counter
from itertools import permutations
from random import randint as rnd
def permuted_palindrome(s):
'''
Determines if a string is a permuted palindrome.
A string is a permuted palindrome if:
1. the string is of odd length and has 1 or fewer
characters with an odd number of occurrences.
- or -
2. the string is of even length and has no
characters with an odd number of occurrences.
>>> permuted_palindrome("aaa")
True
>>> permuted_palindrome("aaab")
False
>>> permuted_palindrome("aaaab")
True
>>> permuted_palindrome("aaaabc")
False
>>> permuted_palindrome("aaaabcc")
True
'''
s = "".join(s.lower().split())
odds = [x for x in Counter(s).values() if x % 2]
if len(s) % 2 == 0:
return len(odds) < 1
return len(odds) < 2
def brute_permuted_palindrome(s):
return any(x == x[::-1] for x in permutations("".join(s.lower().split())))
if __name__ == "__main__":
tests = 1000
passes = 0
for x in range(tests):
s = "".join(chr(rnd(65, 70)) for x in range(rnd(1, 10)))
if brute_permuted_palindrome(s) == permuted_palindrome(s):
passes += 1
print(f"passed {passes}/{tests} tests")
Randomization doesn't guarantee perfect coverage, but it's an easy way to be pretty certain your code works and can often catch edge cases that might be overlooked in enumeration (best to do both).
This snippet also shows how you might include a full docstring with doctests and uses the if __name__ == "__main__":
guard which makes your module easily importable.
edited 4 hours ago
answered 5 hours ago
ggorlenggorlen
1,0771 gold badge4 silver badges15 bronze badges
1,0771 gold badge4 silver badges15 bronze badges
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
add a comment |
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
$begingroup$
Waow, Thank you for a detailed explanation. This is very helpful.
$endgroup$
– Manas Tripathi
4 hours ago
add a comment |
Manas Tripathi is a new contributor. Be nice, and check out our Code of Conduct.
Manas Tripathi is a new contributor. Be nice, and check out our Code of Conduct.
Manas Tripathi is a new contributor. Be nice, and check out our Code of Conduct.
Manas Tripathi is a new contributor. Be nice, and check out our Code of Conduct.
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