code: def test_torch_hamming_window(
      dtype_and_window_length,
      periodic,
      dtype_and_coefficients,
      *,
      dtype,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      window_length_dtype, window_length = dtype_and_window_length
      coefficients_dtypes, coefficients = dtype_and_coefficients
  
      helpers.test_frontend_function(
          input_dtypes=window_length_dtype + coefficients_dtypes,
          window_length=int(window_length[0]),
          periodic=periodic,
          alpha=float(coefficients[0]),
          beta=float(coefficients[1]),
          dtype=dtype[0],
          fn_tree=fn_tree,
          frontend=frontend,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          rtol=1e-1,
          atol=1e-1,
      )
  
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 3 for calling a global function with example usage: test_torch_hamming_window(dtype_and_window_length, periodic, dtype_and_coefficients) without return types