code: def test_skip_gram_sample_skips_0():
      """Tests skip-gram with min_skips = max_skips = 0."""
      input_tensor = tf.constant([b"the", b"quick", b"brown"])
  
      # If emit_self_as_target is False (default), output will be empty.
      tokens, labels = text.skip_gram_sample(
          input_tensor,
          min_skips=0,
          max_skips=0,
          emit_self_as_target=False,
      )
      assert 0 == len(tokens)
      assert 0 == len(labels)
  
      # If emit_self_as_target is True, each token will be its own label.
      tokens, labels = text.skip_gram_sample(
          input_tensor,
          min_skips=0,
          max_skips=0,
          emit_self_as_target=True,
      )
      expected_tokens, expected_labels = _split_tokens_labels(
          [(b"the", b"the"), (b"quick", b"quick"), (b"brown", b"brown")]
      )
      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 4 for calling a global function with example usage: test_skip_gram_sample_skips_0() without return types