





"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCamelCase_           ={
    """configuration_codegen""": ["""CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CodeGenConfig""", """CodeGenOnnxConfig"""],
    """tokenization_codegen""": ["""CodeGenTokenizer"""],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_           =["""CodeGenTokenizerFast"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_           =[
						    """CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """CodeGenForCausalLM""",
						    """CodeGenModel""",
						    """CodeGenPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
						from .tokenization_codegen import CodeGenTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_codegen_fast import CodeGenTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_codegen import (
												    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    CodeGenForCausalLM,
												    CodeGenModel,
												    CodeGenPreTrainedModel,
												)

else:
						import sys

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










"""simple docstring"""




from __future__ import annotations





def        a_				(							_lowercase   ):
						assert (
						    isinstance(_lowercase       ,						_lowercase   ) and mask > 0
						), F"""mask needs to be positive integer, your input {mask}"""
						_UpperCamelCase			:					Union[str, Any]     =    []
						_UpperCamelCase			:					str     =    mask

						while submask:
												all_submasks.append(_lowercase   )
												_UpperCamelCase			:					int     =    (submask - 1) & mask

						return all_submasks


if __name__ == "__main__":
						import doctest

						doctest.testmod()



