




import os

try:
			from .build_directory_md import good_file_paths
except ImportError:
			from build_directory_md import good_file_paths  # type: ignore

__SCREAMING_SNAKE_CASE 						=list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__SCREAMING_SNAKE_CASE 						=[file for file in filepaths if file != file.lower()]
if upper_files:
			print(f"""{len(upper_files)} files contain uppercase characters:""")
			print("""\n""".join(upper_files) + """\n""")

__SCREAMING_SNAKE_CASE 						=[file for file in filepaths if """ """ in file]
if space_files:
			print(f"""{len(space_files)} files contain space characters:""")
			print("""\n""".join(space_files) + """\n""")

__SCREAMING_SNAKE_CASE 						=[file for file in filepaths if """-""" in file]
if hyphen_files:
			print(f"""{len(hyphen_files)} files contain hyphen characters:""")
			print("""\n""".join(hyphen_files) + """\n""")

__SCREAMING_SNAKE_CASE 						=[file for file in filepaths if os.sep not in file]
if nodir_files:
			print(f"""{len(nodir_files)} files are not in a directory:""")
			print("""\n""".join(nodir_files) + """\n""")

__SCREAMING_SNAKE_CASE 						=len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
			import sys

			sys.exit(bad_files)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE 						={
    """configuration_xlm_roberta_xl""": [
        """XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """XLMRobertaXLConfig""",
        """XLMRobertaXLOnnxConfig""",
    ],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE 						=[
			    """XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """XLMRobertaXLForCausalLM""",
			    """XLMRobertaXLForMaskedLM""",
			    """XLMRobertaXLForMultipleChoice""",
			    """XLMRobertaXLForQuestionAnswering""",
			    """XLMRobertaXLForSequenceClassification""",
			    """XLMRobertaXLForTokenClassification""",
			    """XLMRobertaXLModel""",
			    """XLMRobertaXLPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_xlm_roberta_xl import (
			    XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    XLMRobertaXLConfig,
			    XLMRobertaXLOnnxConfig,
			)

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_xlm_roberta_xl import (
						    XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
						    XLMRobertaXLForCausalLM,
						    XLMRobertaXLForMaskedLM,
						    XLMRobertaXLForMultipleChoice,
						    XLMRobertaXLForQuestionAnswering,
						    XLMRobertaXLForSequenceClassification,
						    XLMRobertaXLForTokenClassification,
						    XLMRobertaXLModel,
						    XLMRobertaXLPreTrainedModel,
						)

else:
			import sys

			__SCREAMING_SNAKE_CASE 						=_LazyModule(__name__, globals()["""__file__"""], _import_structure)


