code: def __init__(
      self,
      parent,
      batch_size=13,
      seq_length=60,
      is_training=True,
      use_labels=True,
      hidden_size=16,
      num_hidden_layers=2,
      num_attention_heads=4,
      input_channels=1,
      hidden_act="gelu",
      hidden_dropout_prob=0.1,
      attention_probs_dropout_prob=0.1,
      max_position_embeddings=20,
      max_source_positions=30,
      num_mel_bins=80,
      num_conv_layers=1,
      suppress_tokens=None,
      begin_suppress_tokens=None,
      classifier_proj_size=4,
      num_labels=2,
      is_encoder_decoder=False,
      is_decoder=False,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.seq_length = seq_length
      self.is_training = is_training
      self.use_labels = use_labels
      self.hidden_size = hidden_size
      self.num_hidden_layers = num_hidden_layers
      self.num_attention_heads = num_attention_heads
      self.input_channels = input_channels
      self.hidden_act = hidden_act
      self.hidden_dropout_prob = hidden_dropout_prob
      self.attention_probs_dropout_prob = attention_probs_dropout_prob
      self.num_mel_bins = num_mel_bins
      self.max_position_embeddings = max_position_embeddings
      self.max_source_positions = max_source_positions
      self.num_conv_layers = num_conv_layers
      self.suppress_tokens = suppress_tokens
      self.begin_suppress_tokens = begin_suppress_tokens
      self.classifier_proj_size = classifier_proj_size
      self.num_labels = num_labels
      self.is_encoder_decoder = is_encoder_decoder
      self.is_decoder = is_decoder
  
imports: import functools
  import inspect
  import tempfile
  import unittest
  import transformers
  from transformers import WhisperConfig, is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 1 to create a new FlaxWhisperEncoderModelTester object  with example: obj = FlaxWhisperEncoderModelTester(parent, batch_size, seq_length, is_training, use_labels, hidden_size, num_hidden_layers, num_attention_heads, input_channels, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, max_position_embeddings, max_source_positions, num_mel_bins, num_conv_layers, suppress_tokens, begin_suppress_tokens, classifier_proj_size, num_labels, is_encoder_decoder, is_decoder)