
import os
from collections.abc import Iterator




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str = ".")      ->					Iterator[str]:






							'''simple docstring'''





							for dir_path, dir_names, filenames in os.walk(_lowerCamelCase):
														__UpperCamelCase			:     List[Any]         =      [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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    List[str])      ->					Any:






							'''simple docstring'''





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




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str		,						_lowerCamelCase				:    str)      ->					str:






							'''simple docstring'''





							__UpperCamelCase			:     Any         =      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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str = ".")      ->					None:






							'''simple docstring'''





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


lowercase						:      str									= {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      str									= ['VisionEncoderDecoderModel']

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      List[Any]									= ['TFVisionEncoderDecoderModel']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      int									= ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
		from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
		import sys

		lowercase						:      Dict									= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)