



# Lint as: python3
import itertools
import os
import re


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

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

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

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



def __lowerCAmelCase			(  SCREAMING_SNAKE_CASE_	):
			lowercase__       	=					_uppercase_uppercase_re.sub(r"\1_\2"    ,	UpperCamelCase__	)
			lowercase__       	=					_lowercase_uppercase_re.sub(r"\1_\2"    ,	UpperCamelCase__	)
			return name.lower()



def __lowerCAmelCase			(  SCREAMING_SNAKE_CASE_	):
			lowercase__       	=					_single_underscore_re.split(UpperCamelCase__	)
			lowercase__       	=					[_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			(  SCREAMING_SNAKE_CASE_	):





			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			(  SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_	):





			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			(  SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_=None	):
			lowercase__       	=					filename_prefix_for_split(UpperCamelCase__    ,	UpperCamelCase__	)
			if filetype_suffix:
						prefix += f'''.{filetype_suffix}'''
			lowercase__       	=					os.path.join(UpperCamelCase__    ,	UpperCamelCase__	)
			return f'''{filepath}*'''




def __lowerCAmelCase			(  SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_=None    ,	SCREAMING_SNAKE_CASE_=None	):
			lowercase__       	=					filename_prefix_for_split(UpperCamelCase__    ,	UpperCamelCase__	)
			lowercase__       	=					os.path.join(UpperCamelCase__    ,	UpperCamelCase__	)

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











from typing import TYPE_CHECKING

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


lowerCAmelCase							:       List[str]					 =	{
    """configuration_gpt_bigcode""": ["""GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTBigCodeConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase							:       str					 =	[
							    """GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GPTBigCodeForSequenceClassification""",
							    """GPTBigCodeForTokenClassification""",
							    """GPTBigCodeForCausalLM""",
							    """GPTBigCodeModel""",
							    """GPTBigCodePreTrainedModel""",
							]

if TYPE_CHECKING:
							from .configuration_gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_gpt_bigcode import (
														    GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GPTBigCodeForCausalLM,
														    GPTBigCodeForSequenceClassification,
														    GPTBigCodeForTokenClassification,
														    GPTBigCodeModel,
														    GPTBigCodePreTrainedModel,
														)


else:
							import sys

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



