Best LLM for Agents & Tool Use in 2026

```python
from math import inf
from typing import Sequence


def median_of_two_sorted(a: Sequence[float], b: Sequence[float]) -> float:
    if len(a) > len(b):
        a, b = b, a

    n, m = len(a), len(b)
    if n == 0 and m == 0:
        raise ValueError("median is undefined for two empty lists")

    total = n + m
    half = (total + 1) // 2

    left, right = 0, n
    while left <= right:
        i = (left + right) // 2
        j = half - i

        left_a = -inf if i == 0 else a[i - 1]
        right_a = inf if i == n else a[i]

        left_b = -inf if j == 0 else b[j - 1]
        right_b = inf if j == m else b[j]

        if left_a <= right_b and left_b <= right_a:
            if total % 2 == 1:
                return float(max(left_a, left_b))
            return float((max(left_a, left_b) + min(right_a, right_b)) / 2.0)

        if left_a > right_b:
            right = i - 1
        else:
            left = i + 1

    raise ValueError("input lists must be sorted in non-decreasing order")
```

```python
def median_of_two_sorted(a, b):
    # Ensure a is the smaller list
    if len(a) > len(b):
        a, b = b, a

    m, n = len(a), len(b)
    total = m + n
    half = (total + 1) // 2

    lo, hi = 0, m
    while lo <= hi:
        i = (lo + hi) // 2  # elements taken from a
        j = half - i        # elements taken from b

        a_left = a[i - 1] if i > 0 else float('-inf')
        a_right = a[i] if i < m else float('inf')
        b_left = b[j - 1] if j > 0 else float('-inf')
        b_right = b[j] if j < n else float('inf')

        if a_left <= b_right and b_left <= a_right:
            if total % 2 == 1:
                return float(max(a_left, b_left))
            else:
                return (max(a_left, b_left) + min(a_right, b_right)) / 2.0
        elif a_left > b_right:
            hi = i - 1
        else:
            lo = i + 1

    raise ValueError("Input lists are not sorted or invalid")
```

<think>
We need to write a Python function `median_of_two_sorted(a, b)` that returns the median of two sorted lists in O(log(min(len(a), len(b)))) time. The function should handle empty lists, return float, and for even total return average of two middle values, for odd return the single middle value.

We must implement the classic binary search on the smaller array. The algorithm: ensure a is the smaller array. Let m = len(a), n = len(b). We want to partition a and b such that left half contains elements <= right half. We binary search on partition index i in a (0 to m). Then j = (m + n + 1) // 2 - i. We need to ensure that a[i-1] <= b[j] and b[j-1] <= a[i] (with boundary checks). If condition holds, we found the correct partition. Then if total length is odd, median is max of left half. If even, median is (max(left) + min(right)) / 2.0.

Edge cases: empty arrays. If a is empty, median is just median of b. If b is empty, median of a. But the algorithm should handle it if we set a as the smaller array. If a is empty, m=0, then i=0, j = (0+n+1)//2 = (n+1)//2. Then we need to check conditions: a[i-1] doesn't exist, so we treat as -inf. b[j-1] <= a[i] (a[i] doesn't exist, treat as inf). So condition holds. Then left max is b[j-1] (if j>0) else -inf. Right min is b[j] (if j<n) else inf. Then compute median. This works.

We must return float. For odd total, return float(median). For even, return average as float.

Implementation details: Use integer indices. Use float('inf') and float('-inf') for boundaries.

Let's write the code.

```python
def median_of_two_sorted(a, b):
    # Ensure a is the smaller array
    if len(a) > len(b):
        a, b = b, a
    m, n = len(a), len(b)
    # Binary search on a
    low, high = 0, m
    while low <= high:
        i = (low + high) // 2
        j = (m + n + 1) // 2 - i
        # Get left and right elements with boundaries
        a_left = a[i-1] if i > 0 else float('-inf')
        a_right = a[i] if i < m else float('inf')
        b_left = b[j-1] if j > 0 else float('-inf')
        b_right = b[j] if j < n else float('inf')
        
        if a_left <= b_right and b_left <= a_right:
            # Found correct partition
            if (m + n) % 2 == 1:
                return float(max(a_left, b_left))
            else:
                return (max(a_left, b_left) + min(a_right, b_right)) / 2.0
        elif a_left > b_right:
            # i is too large, need to decrease i
            high = i - 1
        else:
            # b_left > a_right, need to increase i
            low = i + 1
    # Should never reach here if inputs are sorted
    raise ValueError("Input lists are not sorted or invalid.")
```

Check: For odd total, (m+n+1)//2 gives the size of left half (larger half). For even, left half size = (m+n)//2. The formula j = (m+n+1)//2 - i works for both: if total odd, left half has one more element, so j = (total+1)//2 - i. If total even, (total+1)//2 = total//2 (since total even, total+1 odd, integer division gives total//2). So j = total//2 - i. That's correct.

Test with examples:
a = [1, 3], b = [2] -> m=2, n=1. a is larger? Actually len(a)=2, len(b)=1, so we swap: a=[2], b=[1,3]. m=1, n=2. low=0, high=1. i=0: j=(1+2+1)//2 - 0 = 4//2=2. a_left=-inf, a_right=2, b_left=b[1]=3, b_right=inf. Check: a_left <= b_right (-inf <= inf) true. b_left <= a_right? 3 <= 2 false. So b_left > a_right, need to increase i. low=1. i=1: j=2-1=1. a_left=a[0]=2, a_right=inf, b_left=b[0]=1, b_right=b[1]=3. Check: 2<=3 true, 1<=inf true. Found. total=3 odd. max(2,1)=2. return 2.0. Correct.

a = [1, 2], b = [3, 4] -> m=2, n=2. low=0, high=2. i=1: j=(4+1)//2 -1 = 2-1=1. a_left=1, a_right=2, b_left=3, b_right=4. Check: 1<=4 true, 3<=2 false. b_left > a_right, increase i. low=2. i=2: j=2-2=0. a_left=2, a_right=inf, b_left=-inf, b_right=3. Check: 2<=3 true, -inf<=inf true. Found. total=4 even. max(2, -inf)=2, min(inf, 3)=3. avg=2.5. Correct.

Empty a: a=[], b=[1,2,3]. m=0, n=3. low=0, high=0. i=0: j=(0+3+1)//2 -0 = 4//2=2. a_left=-inf, a_right=inf, b_left=b[1]=2, b_right=b[2]=3. Check: -inf<=3 true, 2<=inf true. Found. total=3 odd. max(-inf,2)=2. return 2.0. Correct.

Empty both? Not specified but if both empty, m=0,n=0. low=0, high=0. i=0: j=(0+0+1)//2 -0 = 0. a_left=-inf, a_right=inf, b_left=-inf, b_right=inf. Check: -inf<=inf true, -inf<=inf true. Found. total=0 even? (0%2==0). max(-inf,-inf)=-inf, min(inf,inf)=inf. avg = (-inf+inf)/2 = nan. But problem likely assumes at least one element? Usually median of empty is undefined. We could handle by returning 0.0 or raising error. But requirements say "Handle the case where one list is empty." It doesn't mention both empty. We can leave as is, or add a check: if m==0 and n==0: return 0.0. But to be safe, we can just let it return nan, but better to handle. Since it's not specified, we can assume at least one list non-empty. But to be robust, we can add: if m == 0 and n == 0: return 0.0. However, the problem says "Handle the case where one list is empty." So both empty might not be tested. I'll include a check for both empty returning 0.0 or maybe raise ValueError. But the instruction says "Return ONLY the code inside a single Python code block, with no explanation." So we just provide the function. I'll add a guard: if not a and not b: return 0.0. But that might be unnecessary. Let's keep it simple.

Also, we need to ensure we return float. In Python, division / returns float. For odd case, we return float(max(...)). That's fine.

Time complexity: O(log(min(m,n))) because we binary search on the smaller array. Space O(1).

Let's write the final code block.
</think>
```python
def median_of_two_sorted(a, b):
    # Ensure a is the smaller array for O(log(min(m, n))) complexity
    if len(a) > len(b):
        a, b = b, a
    m, n = len(a), len(b)
    
    # Edge case: both empty (not required, but safe)
    if m == 0 and n == 0:
        return 0.0
        
    low, high = 0, m
    while low <= high:
        i = (low + high) // 2
        j = (m + n + 1) // 2 - i
        
        a_left = a[i - 1] if i > 0 else float('-inf')
        a_right = a[i] if i < m else float('inf')
        b_left = b[j - 1] if j > 0 else float('-inf')
        b_right = b[j] if j < n else float('inf')
        
        if a_left <= b_right and b_left <= a_right:
            if (m + n) % 2 == 1:
                return float(max(a_left, b_left))
            else:
                return (max(a_left, b_left) + min(a_right, b_right)) / 2.0
        elif a_left > b_right:
            high = i - 1
        else:
            low = i + 1
            
    raise ValueError("Input lists are not sorted or invalid.")
```

```python
def median_of_two_sorted(a, b):
    if len(a) > len(b):
        a, b = b, a
        
    m, n = len(a), len(b)
    low, high = 0, m
    
    while low <= high:
        partitionA = (low + high) // 2
        partitionB = (m + n + 1) // 2 - partitionA
        
        maxLeftA = float('-inf') if partitionA == 0 else a[partitionA - 1]
        minRightA = float('inf') if partitionA == m else a[partitionA]
        
        maxLeftB = float('-inf') if partitionB == 0 else b[partitionB - 1]
        minRightB = float('inf') if partitionB == n else b[partitionB]
        
        if maxLeftA <= minRightB and maxLeftB <= minRightA:
            if (m + n) % 2 == 1:
                return float(max(maxLeftA, maxLeftB))
            else:
                return (max(maxLeftA, maxLeftB) + min(minRightA, minRightB)) / 2.0
        elif maxLeftA > minRightB:
            high = partitionA - 1
        else:
            low = partitionA + 1
```