"""simple docstring"""


from typing import TYPE_CHECKING

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


UpperCAmelCase__     :   Union[str, Any]  		=						{
    'configuration_gpt_neo': ['GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoConfig', 'GPTNeoOnnxConfig'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase__     :   List[str]  		=						[
        'GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST',
        'GPTNeoForCausalLM',
        'GPTNeoForQuestionAnswering',
        'GPTNeoForSequenceClassification',
        'GPTNeoForTokenClassification',
        'GPTNeoModel',
        'GPTNeoPreTrainedModel',
        'load_tf_weights_in_gpt_neo',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase__     :   int  		=						[
        'FlaxGPTNeoForCausalLM',
        'FlaxGPTNeoModel',
        'FlaxGPTNeoPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig, GPTNeoOnnxConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
            GPTNeoForQuestionAnswering,
            GPTNeoForSequenceClassification,
            GPTNeoForTokenClassification,
            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel


else:
    import sys

    UpperCAmelCase__     :   str  		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

"""simple docstring"""


# Lint as: python3
import itertools
import os
import re


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

UpperCAmelCase__  		=						re.compile(r"""(?<!_)_(?!_)""")
UpperCAmelCase__  		=						re.compile(r"""(_{2,})""")

UpperCAmelCase__  		=						r"""^\w+(\.\w+)*$"""

UpperCAmelCase__  		=						r"""<>:/\|?*"""






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _uppercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  _UpperCAmelCase						 =      _lowercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  return name.lower()






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _single_underscore_re.split(lowercase		)
  _UpperCAmelCase						 =      [_multiple_underscores_re.split(lowercase		) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowercase		) if n != """"""		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  return camelcase_to_snakecase(lowercase		)






def     __UpperCAmelCase					(			lowercase   ,lowercase		):







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






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  if filetype_suffix:
    prefix += f'''.{filetype_suffix}'''
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)
  return f'''{filepath}*'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)

  if shard_lengths:
    _UpperCAmelCase						 =      len(lowercase		)
    _UpperCAmelCase						 =      [f'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(lowercase		)]
    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]
