input: Write a python function to tokenize, sequence, and pad a given text using TensorFlow's Tokenizer.
  assert tokenize_and_pad(["This is a sample text"], 20) == ([list of tokenized, sequenced, and padded values])
  assert tokenize_and_pad(["Another example text for testing"], 20) == ([list of tokenized, sequenced, and padded values])
  assert tokenize_and_pad(["Short text"], 20) == ([list of tokenized, sequenced, and padded values])
output: def tokenize_and_pad(texts, max_length):
      from tensorflow.keras.preprocessing.text import Tokenizer
      from tensorflow.keras.preprocessing.sequence import pad_sequences
  
      tokenizer = Tokenizer()
      tokenizer.fit_on_texts(texts)
      sequences = tokenizer.texts_to_sequences(texts)
      padded_sequences = pad_sequences(sequences, maxlen=max_length, padding='post')
  
      return padded_sequences.tolist()