code: def _make_svd_nn_data(draw):
      x_dtype, x, shape = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("float"),
              min_num_dims=2,
              max_num_dims=2,
              min_dim_size=2,
              max_dim_size=5,
              min_value=1.0,
              max_value=10.0,
              ret_shape=True,
          )
      )
      n, m = shape
      _, U = draw(
          helpers.dtype_and_values(
              dtype=x_dtype,
              available_dtypes=helpers.get_dtypes("float"),
              shape=(n, m),
              min_value=1.0,
              max_value=10.0,
          )
      )
      _, S = draw(
          helpers.dtype_and_values(
              dtype=x_dtype,
              shape=(m,),
              min_value=1.0,
              max_value=10.0,
          )
      )
      _, V = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("float"),
              shape=(m, m),
              min_value=1.0,
              max_value=10.0,
          )
      )
      nntype = draw(st.sampled_from(["nndsvd", "nndsvda"]))
      return x_dtype, x[0], U[0], S[0], V[0], nntype
  
imports: import math
  from hypothesis import strategies
  from hypothesis import assume
  import numpy
  import pytest
  import itertools
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  import ivy
label_desc: Use image node_id 13 for calling a global function with example usage: _make_svd_nn_data(draw) and returns: x_dtype,  x,  U,  S,  V,  nntype