






"""simple docstring"""





from typing import TYPE_CHECKING

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


A__       :			str=						{"""configuration_pegasus""": ["""PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusConfig"""]}

try:
  if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__       :			List[str]=						["""PegasusTokenizer"""]

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__       :			str=						["""PegasusTokenizerFast"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__       :			str=						[
      """PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """PegasusForCausalLM""",
      """PegasusForConditionalGeneration""",
      """PegasusModel""",
      """PegasusPreTrainedModel""",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__       :			Any=						[
      """TFPegasusForConditionalGeneration""",
      """TFPegasusModel""",
      """TFPegasusPreTrainedModel""",
  ]

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__       :			Dict=						[
      """FlaxPegasusForConditionalGeneration""",
      """FlaxPegasusModel""",
      """FlaxPegasusPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_pegasus import PegasusTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_pegasus_fast import PegasusTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_pegasus import (
        PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
        PegasusForCausalLM,
        PegasusForConditionalGeneration,
        PegasusModel,
        PegasusPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_pegasus import (
        FlaxPegasusForConditionalGeneration,
        FlaxPegasusModel,
        FlaxPegasusPreTrainedModel,
    )

else:
  import sys

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









import math
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						int					)->bool:

      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5  ,					int(math.sqrt(_SCREAMING_SNAKE_CASE					) + 1					)  ,					6					):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						int = 6_0_0_8_5_1_4_7_5_1_4_3					)->int:

      try:
            _lowerCAmelCase			      =	int(_SCREAMING_SNAKE_CASE					)
      except (TypeError, ValueError):
            raise TypeError('''Parameter n must be int or castable to int.'''					)
      if n <= 0:
            raise ValueError('''Parameter n must be greater than or equal to one.'''					)
      _lowerCAmelCase			      =	0
      if is_prime(_SCREAMING_SNAKE_CASE					):
            return n
      while n % 2 == 0:
            n //= 2
      if is_prime(_SCREAMING_SNAKE_CASE					):
            return n
      for i in range(3  ,					int(math.sqrt(_SCREAMING_SNAKE_CASE					)					) + 1  ,					2					):
            if n % i == 0:
                  if is_prime(n // i					):
                        _lowerCAmelCase			      =	n // i
                        break
                  elif is_prime(_SCREAMING_SNAKE_CASE					):
                        _lowerCAmelCase			      =	i
      return max_number


if __name__ == "__main__":
    print(F"""{solution() = }""")