

import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  List[Any]					   =					AutoConfig.from_pretrained(__UpperCamelCase      )
 UpperCAmelCase__					:  List[Any]					   =					FlaxAutoModelForSeqaSeqLM.from_config(config=__UpperCamelCase      )
 UpperCAmelCase__					:  Union[str, Any]					   =					checkpoints.load_tax_checkpoint(__UpperCamelCase      )

 UpperCAmelCase__					:  Union[str, Any]					   =					"""wi_0""" in tax_model["""target"""]["""encoder"""]["""layers_0"""]["""mlp"""]

 if config.model_type == "t5":
  UpperCAmelCase__					:  Optional[Any]					   =					"""SelfAttention"""
 if config.model_type == "longt5" and config.encoder_attention_type == "local":
  UpperCAmelCase__					:  Union[str, Any]					   =					"""LocalSelfAttention"""
 elif config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
  UpperCAmelCase__					:  int					   =					"""TransientGlobalSelfAttention"""
 else:
  raise ValueError(
      """Given config is expected to have `model_type='t5'`, or `model_type='longt5` with `encoder_attention_type`"""
      """ attribute with a value from ['local', 'transient-global]."""      )

 # Encoder
 for layer_index in range(config.num_layers      ):
  UpperCAmelCase__					:  Optional[Any]					   =					F"layers_{str(__UpperCamelCase      )}"

  # Self-Attention
  UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""key"""]["""kernel"""]
  UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""out"""]["""kernel"""]
  UpperCAmelCase__					:  Dict					   =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""query"""]["""kernel"""]
  UpperCAmelCase__					:  Union[str, Any]					   =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""value"""]["""kernel"""]

  # Global input layer norm
  if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
   UpperCAmelCase__					:  List[Any]					   =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""T5LayerNorm_0"""]["""scale"""]

  # Layer Normalization
  UpperCAmelCase__					:  Any					   =					tax_model["""target"""]["""encoder"""][layer_name]["""pre_attention_layer_norm"""]["""scale"""]

  if split_mlp_wi:
   UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
   UpperCAmelCase__					:  Optional[Any]					   =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
  else:
   UpperCAmelCase__					:  Dict					   =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

  UpperCAmelCase__					:  Union[str, Any]					   =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

  # Layer Normalization
  UpperCAmelCase__					:  str					   =					tax_model["""target"""]["""encoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

  # Assigning
  UpperCAmelCase__					:  List[str]					   =					flax_model.params["""encoder"""]["""block"""][str(__UpperCamelCase      )]["""layer"""]
  UpperCAmelCase__					:  str					   =					tax_attention_key
  UpperCAmelCase__					:  List[str]					   =					tax_attention_out
  UpperCAmelCase__					:  Optional[int]					   =					tax_attention_query
  UpperCAmelCase__					:  Dict					   =					tax_attention_value

  UpperCAmelCase__					:  Optional[Any]					   =					tax_attention_layer_norm

  # Global input layer norm
  if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
   UpperCAmelCase__					:  List[str]					   =					tax_global_layer_norm

  if split_mlp_wi:
   UpperCAmelCase__					:  Tuple					   =					tax_mlp_wi_a
   UpperCAmelCase__					:  Union[str, Any]					   =					tax_mlp_wi_a
  else:
   UpperCAmelCase__					:  str					   =					tax_mlp_wi

  UpperCAmelCase__					:  Union[str, Any]					   =					tax_mlp_wo
  UpperCAmelCase__					:  List[str]					   =					tax_mlp_layer_norm

  UpperCAmelCase__					:  int					   =					flax_model_encoder_layer_block

 # Only for layer 0:
 UpperCAmelCase__					:  int					   =					tax_model["""target"""]["""encoder"""]["""relpos_bias"""]["""rel_embedding"""].T
 UpperCAmelCase__					:  Union[str, Any]					   =					tax_encoder_rel_embedding

 # Side/global relative position_bias + layer norm
 if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
  UpperCAmelCase__					:  Optional[Any]					   =					tax_model["""target"""]["""encoder"""]["""side_relpos_bias"""]["""rel_embedding"""].T
  UpperCAmelCase__					:  List[str]					   =					tax_encoder_global_rel_embedding

 # Assigning
 UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""encoder"""]["""encoder_norm"""]["""scale"""]
 UpperCAmelCase__					:  str					   =					tax_encoder_norm

 # Decoder
 for layer_index in range(config.num_layers      ):
  UpperCAmelCase__					:  Optional[Any]					   =					F"layers_{str(__UpperCamelCase      )}"

  # Self-Attention
  UpperCAmelCase__					:  Dict					   =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""key"""]["""kernel"""]
  UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""out"""]["""kernel"""]
  UpperCAmelCase__					:  str					   =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""query"""]["""kernel"""]
  UpperCAmelCase__					:  str					   =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""value"""]["""kernel"""]

  # Layer Normalization
  UpperCAmelCase__					:  List[str]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_self_attention_layer_norm"""][
      """scale"""
  ]

  # Encoder-Decoder-Attention
  UpperCAmelCase__					:  Tuple					   =					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]
  UpperCAmelCase__					:  Any					   =					tax_enc_dec_attention_module["""key"""]["""kernel"""]
  UpperCAmelCase__					:  str					   =					tax_enc_dec_attention_module["""out"""]["""kernel"""]
  UpperCAmelCase__					:  Optional[int]					   =					tax_enc_dec_attention_module["""query"""]["""kernel"""]
  UpperCAmelCase__					:  List[str]					   =					tax_enc_dec_attention_module["""value"""]["""kernel"""]

  # Layer Normalization
  UpperCAmelCase__					:  Union[str, Any]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_cross_attention_layer_norm"""]["""scale"""]

  # MLP
  if split_mlp_wi:
   UpperCAmelCase__					:  List[Any]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
   UpperCAmelCase__					:  List[str]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
  else:
   UpperCAmelCase__					:  Optional[int]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

  UpperCAmelCase__					:  Union[str, Any]					   =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

  # Layer Normalization
  UpperCAmelCase__					:  Any					   =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

  # Assigning
  UpperCAmelCase__					:  int					   =					flax_model.params["""decoder"""]["""block"""][str(__UpperCamelCase      )]["""layer"""]
  UpperCAmelCase__					:  List[Any]					   =					tax_attention_key
  UpperCAmelCase__					:  Union[str, Any]					   =					tax_attention_out
  UpperCAmelCase__					:  Dict					   =					tax_attention_query
  UpperCAmelCase__					:  List[str]					   =					tax_attention_value

  UpperCAmelCase__					:  Optional[Any]					   =					tax_pre_attention_layer_norm

  UpperCAmelCase__					:  List[Any]					   =					tax_enc_dec_attention_key
  UpperCAmelCase__					:  Tuple					   =					tax_enc_dec_attention_out
  UpperCAmelCase__					:  Tuple					   =					tax_enc_dec_attention_query
  UpperCAmelCase__					:  Union[str, Any]					   =					tax_enc_dec_attention_value

  UpperCAmelCase__					:  Union[str, Any]					   =					tax_cross_layer_norm

  if split_mlp_wi:
   UpperCAmelCase__					:  Union[str, Any]					   =					tax_mlp_wi_a
   UpperCAmelCase__					:  int					   =					tax_mlp_wi_a
  else:
   UpperCAmelCase__					:  Optional[Any]					   =					tax_mlp_wi

  UpperCAmelCase__					:  str					   =					tax_mlp_wo

  UpperCAmelCase__					:  Optional[int]					   =					txa_mlp_layer_norm

  UpperCAmelCase__					:  Optional[Any]					   =					flax_model_decoder_layer_block

 # Decoder Normalization
 UpperCAmelCase__					:  List[Any]					   =					tax_model["""target"""]["""decoder"""]["""decoder_norm"""]["""scale"""]
 UpperCAmelCase__					:  Any					   =					txa_decoder_norm

 # Only for layer 0:
 UpperCAmelCase__					:  List[Any]					   =					tax_model["""target"""]["""decoder"""]["""relpos_bias"""]["""rel_embedding"""].T
 UpperCAmelCase__					:  Union[str, Any]					   =					tax_decoder_rel_embedding

 # Token Embeddings
 UpperCAmelCase__					:  int					   =					tax_model["""target"""]["""token_embedder"""]["""embedding"""]
 UpperCAmelCase__					:  List[Any]					   =					txa_token_embeddings

 # LM Head (only in v1.1 and LongT5 checkpoints)
 if "logits_dense" in tax_model["target"]["decoder"]:
  UpperCAmelCase__					:  Optional[Any]					   =					tax_model["""target"""]["""decoder"""]["""logits_dense"""]["""kernel"""]

 flax_model.save_pretrained(__UpperCamelCase      )
 print("""T5X Model was sucessfully converted!"""      )


if __name__ == "__main__":
      __UpperCAmelCase =				argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          '--t5x_checkpoint_path', default=None, type=str, required=True, help='Path the T5X checkpoint.'
      )
      parser.add_argument('--config_name', default=None, type=str, required=True, help='Config name of LongT5/T5 model.')
      parser.add_argument(
          '--flax_dump_folder_path', default=None, type=str, required=True, help='Path to the output FLAX model.'
      )
      __UpperCAmelCase =				parser.parse_args()
      convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)








"""simple docstring"""




import random
from typing import Any
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 for _ in range(len(__UpperCamelCase      )      ):
  UpperCAmelCase__					:  Dict					   =					random.randint(0							,    len(__UpperCamelCase      ) - 1      )
  UpperCAmelCase__					:  Tuple					   =					random.randint(0							,    len(__UpperCamelCase      ) - 1      )
  UpperCAmelCase__   ,      UpperCAmelCase__					:  int					   =					data[b], data[a]
 return data


if __name__ == "__main__":
      __UpperCAmelCase =				[0, 1, 2, 3, 4, 5, 6, 7]
      __UpperCAmelCase =				['python', 'says', 'hello', '!']
      print('Fisher-Yates Shuffle:')
      print('List', integers, strings)
      print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))





