Remove mod_c and div_c

Author: PierreQuinton

src/torchjd/sparse/_linalg.py

@@ -22,50 +22,3 @@ def solve_int(A: Tensor, B: Tensor, tol=1e-9) -> Tensor | None:
 
     # TODO: Verify that the round operation cannot fail
     return X_rounded.to(torch.int64)
-
-
-def mod_c(t1: Tensor, t2: Tensor) -> Tensor:
-    """
-    Computes the combined modulo r = t1 %c t2, such that
-    t1 = d * t2 + r with d = t1 //c t2 and
-    0 <= r[i] <= t1[i] for all i.
-
-    :param t1: Non-negative integer vector.
-    :param t2: Non-negative integer vector.
-
-    Examples:
-        [8, 12]^T %c [2, 3]^T = [0, 0]^T
-        [8, 12]^T %c [2, 4]^T = [2, 0]^T
-        [8, 12]^T %c [3, 3]^T = [2, 6]^T
-        [8, 12]^T %c [2, 0]^T = [0, 12]^T
-        [8, 12]^T %c [0, 2]^T = [8, 0]^T
-        [8, 12]^T %c [0, 0]^T => ZeroDivisionError
-    """
-
-    return t1 - intdiv_c(t1, t2) * t2
-
-
-def intdiv_c(t1: Tensor, t2: Tensor) -> Tensor:
-    """
-    Computes the combined integer division d = t1 // t2, such that
-    t1 = d * t2 + r with r = t1 %c t2
-    0 <= r[i] <= t1[i] for all i.
-
-    :param t1: Non-negative integer vector.
-    :param t2: Non-negative integer vector.
-
-    Examples:
-        [8, 12]^T //c [2, 3]^T = 4
-        [8, 12]^T //c [2, 4]^T = 3
-        [8, 12]^T //c [3, 3]^T = 2
-        [8, 12]^T //c [2, 0]^T = 4
-        [8, 12]^T //c [0, 2]^T = 6
-        [8, 12]^T //c [0, 0]^T => ZeroDivisionError
-    """
-
-    non_zero_indices = torch.nonzero(t2)
-    if len(non_zero_indices) == 0:
-        raise ZeroDivisionError("division by zero")
-    else:
-        min_divider = (t1[non_zero_indices] // t2[non_zero_indices]).min()
-        return min_divider