

"""simple docstring"""






from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


__lowerCamelCase					    =		logging.get_logger(__name__)

__lowerCamelCase					    =		{
    "google/umt5-small": "https://huggingface.co/google/umt5-small/resolve/main/config.json",
    # See all umt5 models at https://huggingface.co/models?filter=umt5
}
class 							_lowercase       (  A__  ):
     _lowerCamelCase	 =							'''umt5'''
     _lowerCamelCase	 =							['''past_key_values''']







     def __init__(   self			,    UpperCamelCase_=25_0112			,    UpperCamelCase_=512			,    UpperCamelCase_=64			,    UpperCamelCase_=1024			,    UpperCamelCase_=8			,    UpperCamelCase_=None			,    UpperCamelCase_=6			,    UpperCamelCase_=32			,    UpperCamelCase_=128			,    UpperCamelCase_=0.1			,    UpperCamelCase_=1E-6			,    UpperCamelCase_=1.0			,    UpperCamelCase_="gated-gelu"			,    UpperCamelCase_=True			,    UpperCamelCase_=True			,    UpperCamelCase_="T5Tokenizer"			,    UpperCamelCase_=True			,    UpperCamelCase_=0			,    UpperCamelCase_=1			,    UpperCamelCase_=0			,    **UpperCamelCase_			,    ):
      super().__init__(
          is_encoder_decoder=__snake_case			,    tokenizer_class=__snake_case			,    tie_word_embeddings=__snake_case			,    pad_token_id=__snake_case			,    eos_token_id=__snake_case			,    decoder_start_token_id=__snake_case			,    **__snake_case			,    )
      __magic_name__	 =   vocab_size
      __magic_name__	 =   d_model
      __magic_name__	 =   d_kv
      __magic_name__	 =   d_ff
      __magic_name__	 =   num_layers
      __magic_name__	 =   (
          num_decoder_layers if num_decoder_layers is not None else self.num_layers
      )  # default = symmetry
      __magic_name__	 =   num_heads
      __magic_name__	 =   relative_attention_num_buckets
      __magic_name__	 =   relative_attention_max_distance
      __magic_name__	 =   dropout_rate
      __magic_name__	 =   layer_norm_epsilon
      __magic_name__	 =   initializer_factor
      __magic_name__	 =   feed_forward_proj
      __magic_name__	 =   use_cache

      __magic_name__	 =   self.feed_forward_proj.split('''-'''							)
      __magic_name__	 =   act_info[-1]
      __magic_name__	 =   act_info[0] == '''gated'''

      if len(__snake_case							) > 1 and act_info[0] != "gated" or len(__snake_case							) > 2:
       raise ValueError(
           f'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
           '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
           '''\'gated-gelu\' or \'relu\''''							)

      if feed_forward_proj == "gated-gelu":
       __magic_name__	 =   '''gelu_new'''







     @property
     def 						lowerCAmelCase__     (   self							):
      return self.d_model







     @property
     def 						lowerCAmelCase__     (   self							):
      return self.num_heads







     @property
     def 						lowerCAmelCase__     (   self							):
      return self.num_layers


class 							_lowercase       (  A__  ):







     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
     def 						lowerCAmelCase__     (   self							):
      __magic_name__	 =   {
          '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
          '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
      }
      if self.use_past:
       __magic_name__	 =   '''past_encoder_sequence + sequence'''
       __magic_name__	 =   {0: '''batch'''}
       __magic_name__	 =   {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
      else:
       __magic_name__	 =   {0: '''batch''', 1: '''decoder_sequence'''}
       __magic_name__	 =   {0: '''batch''', 1: '''decoder_sequence'''}

      if self.use_past:
       self.fill_with_past_key_values_(__snake_case			,    direction='''inputs'''							)

      return common_inputs







     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
     def 						lowerCAmelCase__     (   self							):
      return 13







     @property
     def 						lowerCAmelCase__     (   self							):
      return 5E-4








'''simple docstring'''




import os
from collections.abc import Iterator





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  Iterator[str]:
   for dir_path, dir_names, filenames in os.walk(__lowerCAmelCase		):
      snake_case 						=   [d for d in dir_names if d != """scripts""" and d[0] not in """._"""]
      for filename in filenames:
         if filename == "__init__.py":
            continue
         if os.path.splitext(__lowerCAmelCase		)[1] in (".py", ".ipynb"):
            yield os.path.join(__lowerCAmelCase      ,    __lowerCAmelCase		).lstrip("""./"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							List[str]		)		->  Any:
   return F'''{i * "  "}*''' if i else "\n##"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   old_path.split(os.sep		)
   for i, new_part in enumerate(new_path.split(os.sep		)		):
      if (i + 1 > len(__lowerCAmelCase		) or old_parts[i] != new_part) and new_part:
         print(F'''{md_prefix(__lowerCAmelCase		)} {new_part.replace("_"      ,    " "		).title()}'''		)
   return new_path





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str = "."		)		->  None:
   snake_case 						=   """"""
   for filepath in sorted(good_file_paths(__lowerCAmelCase		)		):
      snake_case						,    snake_case 						=   os.path.split(__lowerCAmelCase		)
      if filepath != old_path:
         snake_case 						=   print_path(__lowerCAmelCase      ,    __lowerCAmelCase		)
      snake_case 						=   (filepath.count(os.sep		) + 1) if filepath else 0
      snake_case 						=   F'''{filepath}/{filename}'''.replace(""" """      ,    """%20"""		)
      snake_case 						=   os.path.splitext(filename.replace("""_"""      ,    """ """		).title()		)[0]
      print(F'''{md_prefix(__lowerCAmelCase		)} [{filename}]({url})'''		)


if __name__ == "__main__":
 print_directory_md(".")

