code: def _get_clip_inputs(draw):
      shape = draw(
          helpers.get_shape(
              min_num_dims=1,
              max_num_dims=5,
              min_dim_size=2,
              max_dim_size=10,
          )
      )
      x_dtype, x, casting, dtype = draw(
          np_frontend_helpers.dtypes_values_casting_dtype(
              arr_func=[
                  lambda: helpers.dtype_and_values(
                      available_dtypes=helpers.get_dtypes("valid"),
                      shape=shape,
                  )
              ],
          ),
      )
  
      min = draw(
          helpers.array_values(
              dtype=x_dtype[0], shape=shape, min_value=-50, max_value=5
          )
      )
      max = draw(
          helpers.array_values(
              dtype=x_dtype[0], shape=shape, min_value=6, max_value=50
          )
      )
      return x_dtype, x, min, max, casting, dtype
  
imports: from hypothesis import assume, strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  import ivy
label_desc: Use image node_id 1 for calling a global function with example usage: _get_clip_inputs(draw) and returns: x_dtype,  x,  min,  max,  casting,  dtype