code: def __init__(
      self,
      parent,
      batch_size=13,
      seq_length=60,
      is_training=True,
      use_labels=False,
      vocab_size=99,
      d_model=16,
      decoder_attention_heads=4,
      decoder_ffn_dim=16,
      decoder_layers=2,
      encoder_attention_heads=4,
      encoder_ffn_dim=16,
      encoder_layers=2,
      input_channels=1,
      hidden_act="gelu",
      hidden_dropout_prob=0.1,
      attention_probs_dropout_prob=0.1,
      max_position_embeddings=70,
      max_source_positions=30,
      max_target_positions=40,
      bos_token_id=98,
      eos_token_id=98,
      pad_token_id=0,
      num_mel_bins=80,
      decoder_start_token_id=85,
      num_conv_layers=1,
      suppress_tokens=None,
      begin_suppress_tokens=None,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.seq_length = seq_length
      self.is_training = is_training
      self.use_labels = use_labels
      self.vocab_size = vocab_size
      self.d_model = d_model
      self.hidden_size = d_model
      self.num_hidden_layers = encoder_layers
      self.num_attention_heads = encoder_attention_heads
      self.decoder_attention_heads = decoder_attention_heads
      self.decoder_ffn_dim = decoder_ffn_dim
      self.decoder_layers = decoder_layers
      self.encoder_attention_heads = encoder_attention_heads
      self.encoder_ffn_dim = encoder_ffn_dim
      self.encoder_layers = encoder_layers
      self.encoder_seq_length = seq_length // 2
      self.decoder_seq_length = 1
      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.max_target_positions = max_target_positions
      self.eos_token_id = eos_token_id
      self.pad_token_id = pad_token_id
      self.bos_token_id = bos_token_id
      self.decoder_start_token_id = decoder_start_token_id
      self.num_conv_layers = num_conv_layers
      self.suppress_tokens = suppress_tokens
      self.begin_suppress_tokens = begin_suppress_tokens
  
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 FlaxWhisperModelTester object  with example: obj = FlaxWhisperModelTester(parent, batch_size, seq_length, is_training, use_labels, vocab_size, d_model, decoder_attention_heads, decoder_ffn_dim, decoder_layers, encoder_attention_heads, encoder_ffn_dim, encoder_layers, input_channels, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, max_position_embeddings, max_source_positions, max_target_positions, bos_token_id, eos_token_id, pad_token_id, num_mel_bins, decoder_start_token_id, num_conv_layers, suppress_tokens, begin_suppress_tokens)