



from typing import TYPE_CHECKING

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


lowercase_						=       {"""configuration_opt""": ["""OPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """OPTConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_						=       [
							    """OPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """OPTForCausalLM""",
							    """OPTModel""",
							    """OPTPreTrainedModel""",
							    """OPTForSequenceClassification""",
							    """OPTForQuestionAnswering""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_						=       ["""TFOPTForCausalLM""", """TFOPTModel""", """TFOPTPreTrainedModel"""]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_						=       [
							    """FlaxOPTForCausalLM""",
							    """FlaxOPTModel""",
							    """FlaxOPTPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_opt import (
														    OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    OPTForCausalLM,
														    OPTForQuestionAnswering,
														    OPTForSequenceClassification,
														    OPTModel,
														    OPTPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
							import sys

							lowercase_						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









import os
from collections.abc import Iterator



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_ = "."					):
			for dir_path, dir_names, filenames in os.walk(SCREAMING_SNAKE_CASE_					):
						lowercase__   					=			[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	(       SCREAMING_SNAKE_CASE_					):
			return f'''{i * "  "}*''' if i else "\n##"



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			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	(       SCREAMING_SNAKE_CASE_ = "."					):
			lowercase__   					=			""
			for filepath in sorted(good_file_paths(SCREAMING_SNAKE_CASE_					)					):
						lowercase__					,    lowercase__   					=			os.path.split(SCREAMING_SNAKE_CASE_					)
						if filepath != old_path:
									lowercase__   					=			print_path(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)
						lowercase__   					=			(filepath.count(os.sep					) + 1) if filepath else 0
						lowercase__   					=			f'''{filepath}/{filename}'''.replace(" "  ,					"%20"					)
						lowercase__   					=			os.path.splitext(filename.replace("_"  ,					" "					).title()					)[0]
						print(f'''{md_prefix(SCREAMING_SNAKE_CASE_					)} [{filename}]({url})'''					)


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




