human
What is a the Python code you requested given the following:
I am working on the file "02_BinarySearch.ipynb".
The first task is:
Smallest Rectangle Enclosing Black Pixels
Can you write Python code for it?
assistant
#Here is the Python code you requested.

class Solution(object):
    def minArea(self, image, x, y):
        """
        :type image: List[List[str]]
        :type x: int
        :type y: int
        :rtype: int
        """
        
        def isBlackCol(image, col):
            for i in range(len(image)):
                if image[i][col] == '1':
                    return True
            return False
        
        def isBlackRow(image, row):
            for j in range(len(image[row])):
                if image[row][j] == '1':
                    return True
            return False
        
        if image is None or len(image) == 0:
            return 0
        
        m, n = len(image), len(image[0])
        
        # left
        start, end = 0, y
        while start + 1 < end:
            mid = start + (end - start) / 2
            if isBlackCol(image, mid):
                end = mid
            else:
                start = mid
        
        if isBlackCol(image, start):
            left = start
        else:
            left = end
        
        # right
        start, end = y, n-1
        while start + 1 < end:
            mid = start + (end - start) / 2
            if isBlackCol(image, mid):
                start = mid
            else:
                end = mid
        
        if isBlackCol(image, end):
            right = end
        else:
            right = start
        
        # up
        start, end = 0, x
        while start + 1 < end:
            mid = start + (end - start) / 2
            if isBlackRow(image, mid):
                end = mid
            else:
                start = mid
        
        if isBlackRow(image, start):
            up = start
        else:
            up = end
        
        # bottom
        start, end = x, m-1
        while start + 1 < end:
            mid = start + (end - start) / 2
            if isBlackRow(image, mid):
                start = mid
            else:
                end = mid
        
        if isBlackRow(image, end):
            bottom = end
        else:
           ...