disable arguments-renamed pylint warning in a few places

PiperOrigin-RevId: 439880661

magenta/contrib/seq2seq.py

@@ -850,15 +850,15 @@ def __init__(self, inputs, sequence_length, sampling_probability,
   def initialize(self, name=None):
     return super(ScheduledOutputTrainingHelper, self).initialize(name=name)
 
-  def sample(self, time, outputs, state, name=None):
+  def sample(self, time, outputs, state, name=None):  # pylint: disable=arguments-renamed
     with tf.name_scope(name, "ScheduledOutputTrainingHelperSample",
                        [time, outputs, state]):
       return bernoulli_sample(
           probs=self._sampling_probability,
           sample_shape=self.batch_size,
           seed=self._seed)
 
-  def next_inputs(self, time, outputs, state, sample_ids, name=None):
+  def next_inputs(self, time, outputs, state, sample_ids, name=None):  # pylint: disable=arguments-renamed
     with tf.name_scope(name, "ScheduledOutputTrainingHelperNextInputs",
                        [time, outputs, state, sample_ids]):
       (finished, base_next_inputs, state) = (

magenta/models/score2perf/transformer_autoencoder.py

@@ -395,13 +395,15 @@ def has_input(self):
     else:
       return True
 
+  # pylint: disable=arguments-renamed
   def encode(self, perf_inputs, mel_inputs, target_space, hparams,
              features=None, losses=None):
     """Encode transformer inputs, but concatenate mel w perf."""
     return mel_perf_transformer_encode(
         self._encoder_function, perf_inputs, mel_inputs, target_space, hparams,
         attention_weights=self.attention_weights,
         prepare_encoder_fn=self._prepare_encoder_fn)
+  # pylint: enable=arguments-renamed
 
   def body(self, features):
     """Transformer main model_fn.