code: def stripe(x, n, w, offset=(0, 0), dim=1):
      r"""
      Returns a diagonal stripe of the tensor.
  
      Args:
          x (~torch.Tensor): the input tensor with 2 or more dims.
          n (int): the length of the stripe.
          w (int): the width of the stripe.
          offset (tuple): the offset of the first two dims.
          dim (int): 0 if returns a horizontal stripe; 1 otherwise.
  
      Returns:
          a diagonal stripe of the tensor.
  
      Examples:
          >>> x = torch.arange(25).view(5, 5)
          >>> x
          tensor([[ 0,  1,  2,  3,  4],
                  [ 5,  6,  7,  8,  9],
                  [10, 11, 12, 13, 14],
                  [15, 16, 17, 18, 19],
                  [20, 21, 22, 23, 24]])
          >>> stripe(x, 2, 3, (1, 1))
          tensor([[ 6,  7,  8],
                  [12, 13, 14]])
          >>> stripe(x, 2, 3, dim=0)
          tensor([[ 0,  5, 10],
                  [ 6, 11, 16]])
      """
  
      x, seq_len = x.contiguous(), x.size(1)
      stride, numel = list(x.stride()), x[0, 0].numel()
      stride[0] = (seq_len + 1) * numel
      stride[1] = (1 if dim == 1 else seq_len) * numel
      return x.as_strided(
          size=(n, w, *x.shape[2:]),
          stride=stride,
          storage_offset=(offset[0] * seq_len + offset[1]) * numel,
      )
  
file_path: underthesea/underthesea/utils/sp_fn.py
imports: import unicodedata
label_desc: Use image node_id 6 for calling a global function with example usage: stripe(x, n, w, offset, dim) and returns: x