# Write an efficient algorithm that searches for a value in an m x n matrix.
# This matrix has the following properties:
#
# Integers in each row are sorted from left to right.
# The first integer of each row is greater than the last integer of the previous row.
# For example,
#
# Consider the following matrix:
#
# [
# [1, 3, 5, 7],
# [10, 11, 16, 20],
# [23, 30, 34, 50]
# ]
# Given target = 3, return true.
class Solution():
def searchMatrix(self, x, target):
if not x:
return False
m, n = len(x), len(x[0])
left, right = 0, m*n-1
while left <= right:
mid = (left + right) // 2
if x[mid // n][mid % n] == target:
return True
elif x[mid // n][mid % n] > target:
right = mid - 1
else:
left = mid + 1
return 0 <= left < m*n and x[left // n][left % n] == target
if __name__ == "__main__":
x = [[1, 3, 5, 7], [10, 11, 16, 20], [23, 30, 34, 50]]
assert Solution().searchMatrix(x, 3) == True