
# Lint as: python3
import itertools
import os
import re


lowerCamelCase__	=							re.compile(R"([A-Z]+)([A-Z][a-z])")
lowerCamelCase__	=							re.compile(R"([a-z\d])([A-Z])")

lowerCamelCase__	=							re.compile(R"(?<!_)_(?!_)")
lowerCamelCase__	=							re.compile(R"(_{2,})")

lowerCamelCase__	=							R"^\w+(\.\w+)*$"

lowerCamelCase__	=							R"<>:/\|?*"


def 							__A(lowerCAmelCase )		->				Any:

		"""simple docstring"""






		_UpperCamelCase						    =	_uppercase_uppercase_re.sub(R"""\1_\2"""						,  lowerCAmelCase )
		_UpperCamelCase						    =	_lowercase_uppercase_re.sub(R"""\1_\2"""						,  lowerCAmelCase )
		return name.lower()


def 							__A(lowerCAmelCase )		->				Tuple:

		"""simple docstring"""






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


def 							__A(lowerCAmelCase )		->				Tuple:

		"""simple docstring"""






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


def 							__A(lowerCAmelCase						,  lowerCAmelCase )		->				List[str]:

		"""simple docstring"""






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


def 							__A(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase=None )		->				List[str]:

		"""simple docstring"""






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







def 							__A(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase=None						,  lowerCAmelCase=None )		->				Optional[Any]:

		"""simple docstring"""






		_UpperCamelCase						    =	filename_prefix_for_split(lowerCAmelCase						,  lowerCAmelCase )
		_UpperCamelCase						    =	os.path.join(lowerCAmelCase						,  lowerCAmelCase )

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





from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__	=							{
    "configuration_mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig"],
    "feature_extraction_mctct": ["MCTCTFeatureExtractor"],
    "processing_mctct": ["MCTCTProcessor"],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__	=							[
		    "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "MCTCTForCTC",
		    "MCTCTModel",
		    "MCTCTPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
		from .feature_extraction_mctct import MCTCTFeatureExtractor
		from .processing_mctct import MCTCTProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
		import sys

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



