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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _create_initstate_and_embeddings(self):
 """Create the initial state for the cell and the data embeddings."""

        self._init_state = self.cell.zero_state(self.batch_size, tf.float32)
        embedding = tf.get_variable(
            "embedding", [self.vocab_size, self.num_hidden])
        inputs = tf.nn.embedding_lookup(embedding, self.input_data)
        self.inputs = tf.nn.dropout(inputs, self.dropout)