





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


snake_case_     :   Tuple							=			{'''configuration_opt''': ['''OPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OPTConfig''']}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_     :   Optional[Any]							=			[
				    '''OPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''OPTForCausalLM''',
				    '''OPTModel''',
				    '''OPTPreTrainedModel''',
				    '''OPTForSequenceClassification''',
				    '''OPTForQuestionAnswering''',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_     :   str							=			['''TFOPTForCausalLM''', '''TFOPTModel''', '''TFOPTPreTrainedModel''']

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_     :   int							=			[
				    '''FlaxOPTForCausalLM''',
				    '''FlaxOPTModel''',
				    '''FlaxOPTPreTrainedModel''',
				]


if TYPE_CHECKING:
				from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_opt import (
								    OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    OPTForCausalLM,
								    OPTForQuestionAnswering,
								    OPTForSequenceClassification,
								    OPTModel,
								    OPTPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
				import sys

				snake_case_     :   int							=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     bool:
		lowerCamelCase   : Optional[Any]								=[int(SCREAMING_SNAKE_CASE_		) for i in ip_va_address.split('''.'''		) if i.isdigit()]
		return len(SCREAMING_SNAKE_CASE_		) == 4 and all(0 <= int(SCREAMING_SNAKE_CASE_		) <= 2_5_4 for octet in octets		)


if __name__ == "__main__":
				snake_case_							=			input().strip()
				snake_case_							=			'''valid''' if is_ip_va_address_valid(ip) else '''invalid'''
				print(F"""{ip} is a {valid_or_invalid} IP v4 address.""")

