





import os
from collections.abc import Iterator






def 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[int] = "."					)      ->    Iterator[str]:

						"""simple docstring"""





						for dir_path, dir_names, filenames in os.walk(_SCREAMING_SNAKE_CASE					):
												__SCREAMING_SNAKE_CASE:				List[str]           =   [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(_SCREAMING_SNAKE_CASE					)[1] in (".py", ".ipynb"):
																								yield os.path.join(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE					).lstrip('''./'''					)






def 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[int]					)      ->    Tuple:

						"""simple docstring"""





						return F"""{i * "  "}*""" if i else "\n##"






def 		lowerCAmelCase  (	UpperCamelCase__   :   Optional[int]       ,			UpperCamelCase__   :   Optional[int]					)      ->    str:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Tuple           =   old_path.split(os.sep					)
						for i, new_part in enumerate(new_path.split(os.sep					)					):
												if (i + 1 > len(_SCREAMING_SNAKE_CASE					) or old_parts[i] != new_part) and new_part:
																		print(F"""{md_prefix(_SCREAMING_SNAKE_CASE					)} {new_part.replace("_"       ,			" "					).title()}"""					)
						return new_path






def 		lowerCAmelCase  (	UpperCamelCase__   :   int = "."					)      ->    None:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   ''''''
						for filepath in sorted(good_file_paths(_SCREAMING_SNAKE_CASE					)					):
												__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE:				List[Any]           =   os.path.split(_SCREAMING_SNAKE_CASE					)
												if filepath != old_path:
																		__SCREAMING_SNAKE_CASE:				Dict           =   print_path(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE					)
												__SCREAMING_SNAKE_CASE:				Optional[int]           =   (filepath.count(os.sep					) + 1) if filepath else 0
												__SCREAMING_SNAKE_CASE:				Optional[int]           =   F"""{filepath}/{filename}""".replace(''' '''       ,			'''%20'''					)
												__SCREAMING_SNAKE_CASE:				int           =   os.path.splitext(filename.replace('''_'''       ,			''' '''					).title()					)[0]
												print(F"""{md_prefix(_SCREAMING_SNAKE_CASE					)} [{filename}]({url})"""					)


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










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__A							:			Dict         =			{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:			str         =			["BlenderbotTokenizerFast"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:			str         =			[
     "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "BlenderbotForCausalLM",
     "BlenderbotForConditionalGeneration",
     "BlenderbotModel",
     "BlenderbotPreTrainedModel",
 ]


try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:			Union[str, Any]         =			[
     "TFBlenderbotForConditionalGeneration",
     "TFBlenderbotModel",
     "TFBlenderbotPreTrainedModel",
 ]


try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:			Optional[Any]         =			[
     "FlaxBlenderbotForConditionalGeneration",
     "FlaxBlenderbotModel",
     "FlaxBlenderbotPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_blenderbot import (
     BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BlenderbotConfig,
     BlenderbotOnnxConfig,
 )
 from .tokenization_blenderbot import BlenderbotTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_blenderbot import (
      BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
      BlenderbotForCausalLM,
      BlenderbotForConditionalGeneration,
      BlenderbotModel,
      BlenderbotPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_blenderbot import (
      TFBlenderbotForConditionalGeneration,
      TFBlenderbotModel,
      TFBlenderbotPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_blenderbot import (
      FlaxBlenderbotForConditionalGeneration,
      FlaxBlenderbotModel,
      FlaxBlenderbotPreTrainedModel,
  )

else:
 import sys

 __A							:			str         =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





