Each of the hashes have a finite (a-z, A-Z) number of possible characters, so the space used is O(1)

We iterate over s linearly, comparing constant length hashes at each iteration so each iteration is also O(1), so the runtime is O(n)

```
class Solution(object):
def findAnagrams(self, s, p):
"""
:type s: str
:type p: str
:rtype: List[int]
"""
res = []
n, m = len(s), len(p)
if n < m: return res
phash, shash = [0]*123, [0]*123
for x in p:
phash[ord(x)] += 1
for x in s[:m-1]:
shash[ord(x)] += 1
for i in range(m-1, n):
shash[ord(s[i])] += 1
if i-m >= 0:
shash[ord(s[i-m])] -= 1
if shash == phash:
res.append(i - m + 1)
return res
```

]]>Each of the hashes have a finite (a-z, A-Z) number of possible characters, so the space used is O(1)

We iterate over s linearly, comparing constant length hashes at each iteration so each iteration is also O(1), so the runtime is O(n)

```
class Solution(object):
def findAnagrams(self, s, p):
"""
:type s: str
:type p: str
:rtype: List[int]
"""
res = []
n, m = len(s), len(p)
if n < m: return res
phash, shash = [0]*123, [0]*123
for x in p:
phash[ord(x)] += 1
for x in s[:m-1]:
shash[ord(x)] += 1
for i in range(m-1, n):
shash[ord(s[i])] += 1
if i-m >= 0:
shash[ord(s[i-m])] -= 1
if shash == phash:
res.append(i - m + 1)
return res
```

]]>comparing constant length hashes at each iteration so each iteration is also O(1)

Can you explain a little bit why you're comparing two hashes here? What I see is comparison of two lists `phash`

and `shash`

and the time complexity of comparing two lists should be O(n).