

# Lint as: python3
import itertools
import os
import re


_UpperCAmelCase		:       str						    =	re.compile(R"""([A-Z]+)([A-Z][a-z])""")
_UpperCAmelCase		:       Dict						    =	re.compile(R"""([a-z\d])([A-Z])""")

_UpperCAmelCase		:       Dict						    =	re.compile(R"""(?<!_)_(?!_)""")
_UpperCAmelCase		:       Tuple						    =	re.compile(R"""(_{2,})""")

_UpperCAmelCase		:       Any						    =	R"""^\w+(\.\w+)*$"""

_UpperCAmelCase		:       List[str]						    =	R"""<>:/\|?*"""





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   _uppercase_uppercase_re.sub(r'\1_\2'       ,							UpperCamelCase__				)
							snake_case_          =   _lowercase_uppercase_re.sub(r'\1_\2'       ,							UpperCamelCase__				)
							return name.lower()





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   _single_underscore_re.split(UpperCamelCase__				)
							snake_case_          =   [_multiple_underscores_re.split(UpperCamelCase__				) for n in name]
							return "".join(n.capitalize() for n in itertools.chain.from_iterable(UpperCamelCase__				) if n != ''				)





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							if os.path.basename(UpperCamelCase__				) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''				)
							return camelcase_to_snakecase(UpperCamelCase__				)





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__				):







							'''simple docstring'''






							if os.path.basename(UpperCamelCase__				) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''				)
							if not re.match(_split_re       ,							UpperCamelCase__				):
														raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''				)
							return F'''{filename_prefix_for_name(UpperCamelCase__				)}-{split}'''





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__=None				):







							'''simple docstring'''






							snake_case_          =   filename_prefix_for_split(UpperCamelCase__       ,							UpperCamelCase__				)
							if filetype_suffix:
														prefix += F'''.{filetype_suffix}'''
							snake_case_          =   os.path.join(UpperCamelCase__       ,							UpperCamelCase__				)
							return F'''{filepath}*'''





def  __lowerCamelCase     (			UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__       ,							UpperCamelCase__=None       ,							UpperCamelCase__=None				):







							'''simple docstring'''






							snake_case_          =   filename_prefix_for_split(UpperCamelCase__       ,							UpperCamelCase__				)
							snake_case_          =   os.path.join(UpperCamelCase__       ,							UpperCamelCase__				)

							if shard_lengths:
														snake_case_          =   len(UpperCamelCase__				)
														snake_case_          =   [F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(UpperCamelCase__				)]
														if filetype_suffix:
																					snake_case_          =   [filename + F'''.{filetype_suffix}''' for filename in filenames]
														return filenames
							else:
														snake_case_          =   prefix
														if filetype_suffix:
																					filename += F'''.{filetype_suffix}'''
														return [filename]




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase		:       Tuple						    =	{
    """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:
					_UpperCAmelCase		:       int						    =	[
					    """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

					_UpperCAmelCase		:       Optional[Any]						    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)




