Confusing Number II — Python

# Time:  O(logn)
# Space: O(logn)

class Solution(object):
    def confusingNumberII(self, n):
        """
        :type n: int
        :rtype: int
        """
        lookup = {"0":"0", "1":"1", "6":"9", "8":"8", "9":"6"}
        centers = {"0":"0", "1":"1", "8":"8"}
        def totalCount(n):  # count all numbers in the pattern of [01689]{1,len(n)} in the range of [1, n]
            s = str(n)
            total = 0 
            p = len(lookup)**(len(s)-1)
            for i in xrange(len(s)+1):
                if i == len(s):
                    total += 1
                    break
                smaller = sum(int(c < s[i]) for c in lookup.iterkeys())
                total += smaller * p
                if s[i] not in lookup:
                    break
                p //= len(lookup)
            return total-1  # exclude 0

        def validCountInLessLength(n):  # count unconfusing numbers in the pattern of [01689]{1,len(n)-1} in the range of [1, n]
            s = str(n)
            valid = 0
            total = len(centers)
            for i in xrange(1, len(s), 2):  # count unconfusing numbers for each odd length less than s
                if i == 1:
                    valid += len({c for c in centers.iterkeys() if c != '0'})
                else:
                    valid += total * (len(lookup)-1)
                    total *= len(lookup)
            total = 1
            for i in xrange(2, len(s), 2):  # count unconfusing numbers for each even length less than s
                valid += total * (len(lookup)-1)
                total *= len(lookup)
            return valid

        def validCountInFullLength(n):  # count unconfusing numbers in the pattern of [01689]{len(n)} in the range of [1, n]
            s = str(n)
            half_s = s[:(len(s)+1)//2]
            total = 0
            choices = centers if (len(s) % 2) else lookup
            p = int(len(lookup)**(len(half_s)-2) * len(choices))
            for i in xrange(len(half_s)):
                if i == len(half_s)-1:
                    total += sum(int(c < half_s[i]) for c in choices.iterkeys() if i != 0 or c != '0')
                    if half_s[i] not in choices:
                        break
                    tmp = list(half_s)+[lookup[half_s[i]] for i in reversed(xrange(len(half_s)-(len(s) % 2)))]
                    total += 0 < int("".join(tmp)) <= n
                    break
                smaller = sum(int(c < half_s[i]) for c in lookup.iterkeys() if i != 0 or c != '0')
                total += smaller * p
                if half_s[i] not in lookup:
                    break
                p //= len(lookup)
            return total

        return totalCount(n) - validCountInLessLength(n) - validCountInFullLength(n)


# Time:  O(logn)
# Space: O(logn)
class Solution2(object):
    def confusingNumberII(self, n):
        """
        :type n: int
        :rtype: int
        """
        lookup = {"0":"0", "1":"1", "6":"9", "8":"8", "9":"6"}
        centers = {"0":"0", "1":"1", "8":"8"}
        def totalCount(n):  # count all numbers in the pattern of [01689]{1,len(n)} in the range of [0, n]
            s = str(n)
            total = 0 
            p = len(lookup)**(len(s)-1)
            for i in xrange(len(s)+1):
                if i == len(s):
                    total += 1
                    break
                smaller = sum(int(c < s[i]) for c in lookup.iterkeys())
                total += smaller * p
                if s[i] not in lookup:
                    break
                p //= len(lookup)
            return total

        def validCountInLessLength(n):  # count unconfusing numbers in the pattern of [01689]{1,len(n)-1} in the range of [0, n]
            s = str(n)
            valid = 0
            total = len(centers)
            for i in xrange(1, len(s), 2):  # count unconfusing numbers for each odd length less than s
                if i == 1:
                    valid += len(centers)
                else:
                    valid += total * (len(lookup)-1)
                    total *= len(lookup)
            total = 1
            for i in xrange(2, len(s), 2):  # count unconfusing numbers for each even length less than s
                valid += total * (len(lookup)-1)
                total *= len(lookup)
            return valid

        def validCountInFullLength(n):  # count unconfusing numbers in the pattern of [01689]{len(n)} in the range of [0, n]
            s = str(n)
            half_s = s[:(len(s)+1)//2]
            total = 0
            choices = centers if (len(s) % 2) else lookup
            p = int(len(lookup)**(len(half_s)-2) * len(choices))
            for i in xrange(len(half_s)):
                if i == len(half_s)-1:
                    total += sum(int(c < half_s[i]) for c in choices.iterkeys() if len(s) != 2 or c != '0')
                    if half_s[i] not in choices:
                        break
                    tmp = list(half_s)+[lookup[half_s[i]] for i in reversed(xrange(len(half_s)-(len(s) % 2)))]
                    total += int("".join(tmp)) <= n
                    break
                smaller = sum(int(c < half_s[i]) for c in lookup.iterkeys() if i != 0 or c != '0')
                total += smaller * p
                if half_s[i] not in lookup:
                    break
                p //= len(lookup)
            return total

        def f(n):  # count confusing numbers in the range of [0, n]
            return totalCount(n) - validCountInLessLength(n) - validCountInFullLength(n)

        return f(n) - f(0)  # f(0) is always 0 and could be ignored