bin2int

sionna.phy.fec.utils.bin2int(arr: List[int] | torch.Tensor) → int | None | torch.Tensor

Converts a binary array or tensor to its integer representation.

Interprets the binary representation from most significant to least significant bit. For example, [1, 0, 1] is converted to 5.

Accepts both plain Python lists and PyTorch tensors. When a list is provided, returns a plain Python int (or None if empty). When a tensor is provided, returns a tensor with the last dimension reduced.

Parameters:

arr (List[int] | torch.Tensor) – An iterable of binary values (0’s and 1’s), or a torch.Tensor with binary values along the last dimension.

Outputs:

result – The integer representation. A plain int if arr is a list, None if the list is empty, or a torch.Tensor if arr is a tensor.

Examples

from sionna.phy.fec.utils import bin2int

# From a Python list
result = bin2int([1, 0, 1])
print(result)
# 5

# From a PyTorch tensor
import torch
result = bin2int(torch.tensor([[1, 0, 1], [0, 1, 1]]))
print(result)
# tensor([5, 3])