code: def test_skip_gram_sample_start_limit():
      """Tests skip-gram over a limited portion of the input."""
      input_tensor = tf.constant(
          [b"foo", b"the", b"quick", b"brown", b"bar"]
      )
      tokens, labels = text.skip_gram_sample(
          input_tensor, min_skips=1, max_skips=1, start=1, limit=3
      )
      expected_tokens, expected_labels = _split_tokens_labels(
          [
              (b"the", b"quick"),
              (b"quick", b"the"),
              (b"quick", b"brown"),
              (b"brown", b"quick"),
          ]
      )
      np.testing.assert_equal(
          np.asanyarray(expected_tokens), tokens.numpy()
      )
      np.testing.assert_equal(
          np.asanyarray(expected_labels), labels.numpy()
      )
  
imports: import csv
  import os
  import tempfile
  import numpy
  import pytest
  import tensorflow
  from tensorflow_addons import text
  from tensorflow_addons.text import skip_gram_ops
label_desc: Use image node_id 6 for calling a global function with example usage: test_skip_gram_sample_start_limit() without return types