code: def test_smoke(self, device, dtype):
      x = torch.tensor([1.0, 2.0, 1.0], device=device, dtype=dtype)
      y_expected = torch.tensor(
          [0.0, 2.0, 1.0, 0.0], device=device, dtype=dtype
      )
  
      y = _torch_histc_cast(x, bins=4, min=0, max=3)
  
      assert_close(y, y_expected)
  
imports: import pytest
  import torch
  from kornia.testing import assert_close
  from kornia.utils import _extract_device_dtype
  from kornia.utils.helpers import _torch_histc_cast, _torch_inverse_cast, _torch_solve_cast, _torch_svd_cast, safe_inverse_with_mask, safe_solve_with_mask
label_desc: Use image node_id 1 for calling the TestHistcCast obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types