text: """Collection of tests for sorting functions."""
  
  # global
  # import numpy as np
  # from hypothesis import given, strategies as st
  
  # local
  # import ivy_tests.test_ivy.helpers as helpers
  # import ivy.functional.backends.numpy as ivy_np
  
  
  # argsort
  # @given(
  #     dtype_and_x=helpers.dtype_and_values(ivy_np.valid_numeric_dtypes),
  #     as_variable=st.booleans(),
  #     with_out=st.booleans(),
  #     num_positional_args=st.integers(0, 1),
  #     native_array=st.booleans(),
  #     container=st.booleans(),
  #     instance_method=st.booleans(),
  # )
  # def test_argsort(
  #     dtype_and_x,
  #     as_variable,
  #     with_out,
  #     num_positional_args,
  #     native_array,
  #     container,
  #     instance_method,
  #     fw,
  # ):
  #     dtype, x = dtype_and_x
  #     # smoke this for torch
  #     if fw == "torch" and dtype in ["uint16", "uint32", "uint64"]:
  #         return
  #     helpers.test_array_function(
  #         dtype,
  #         as_variable,
  #         with_out,
  #         num_positional_args,
  #         native_array,
  #         container,
  #         instance_method,
  #         fw,
  #         "argsort",
  #         x=np.asarray(x, dtype=dtype),
  #     )
  
  
  # sort
  # @given(
  #     dtype_and_x=helpers.dtype_and_values(ivy_np.valid_numeric_dtypes),
  #     as_variable=st.booleans(),
  #     with_out=st.booleans(),
  #     num_positional_args=st.integers(0, 1),
  #     native_array=st.booleans(),
  #     container=st.booleans(),
  #     instance_method=st.booleans(),
  # )
  # def test_sort(
  #     dtype_and_x,
  #     as_variable,
  #     with_out,
  #     num_positional_args,
  #     native_array,
  #     container,
  #     instance_method,
  #     fw,
  # ):
  #     dtype, x = dtype_and_x
  #     # smoke this for torch
  #     if fw == "torch" and dtype in ["uint16", "uint32", "uint64"]:
  #         return
  #     helpers.test_array_function(
  #         dtype,
  #         as_variable,
  #         with_out,
  #         num_positional_args,
  #         native_array,
  #         container,
  #         instance_method,
  #         fw,
  #         "sort",
  #         x=np.asarray(x, dtype=dtype),
  #     )
  