



import sys

a_			=					(
    """73167176531330624919225119674426574742355349194934"""
    """96983520312774506326239578318016984801869478851843"""
    """85861560789112949495459501737958331952853208805511"""
    """12540698747158523863050715693290963295227443043557"""
    """66896648950445244523161731856403098711121722383113"""
    """62229893423380308135336276614282806444486645238749"""
    """30358907296290491560440772390713810515859307960866"""
    """70172427121883998797908792274921901699720888093776"""
    """65727333001053367881220235421809751254540594752243"""
    """52584907711670556013604839586446706324415722155397"""
    """53697817977846174064955149290862569321978468622482"""
    """83972241375657056057490261407972968652414535100474"""
    """82166370484403199890008895243450658541227588666881"""
    """16427171479924442928230863465674813919123162824586"""
    """17866458359124566529476545682848912883142607690042"""
    """24219022671055626321111109370544217506941658960408"""
    """07198403850962455444362981230987879927244284909188"""
    """84580156166097919133875499200524063689912560717606"""
    """05886116467109405077541002256983155200055935729725"""
    """71636269561882670428252483600823257530420752963450"""
)





def 		a__			(		_UpperCamelCase			: str = N							):
   __lowerCamelCase													=    -sys.maxsize - 1
   for i in range(len(_UpperCamelCase							) - 12							):
      __lowerCamelCase													=    1
      for j in range(13							):
         product *= int(n[i + j]							)
      if product > largest_product:
         __lowerCamelCase													=    product
   return largest_product


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











import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
a_			=					"""src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
a_			=					direct_transformers_import(PATH_TO_TRANSFORMERS)

a_			=					transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
a_			=					re.compile(R"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


a_			=					{
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}





def 		a__			(		_UpperCamelCase			: Union[str, Any]							):
   __lowerCamelCase													=    None

   # source code of `config_class`
   __lowerCamelCase													=    inspect.getsource(_UpperCamelCase							)
   __lowerCamelCase													=    _re_checkpoint.findall(_UpperCamelCase							)

   # Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
   # For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
   for ckpt_name, ckpt_link in checkpoints:
      # allow the link to end with `/`
      if ckpt_link.endswith('''/'''							):
         __lowerCamelCase													=    ckpt_link[:-1]

      # verify the checkpoint name corresponds to the checkpoint link
      __lowerCamelCase													=    F"""https://huggingface.co/{ckpt_name}"""
      if ckpt_link == ckpt_link_from_name:
         __lowerCamelCase													=    ckpt_name
         break

   return checkpoint





def 		a__			(		):
   __lowerCamelCase													=    []

   for config_class in list(CONFIG_MAPPING.values()							):
      # Skip deprecated models
      if "models.deprecated" in config_class.__module__:
         continue
      __lowerCamelCase													=    get_checkpoint_from_config_class(_UpperCamelCase							)

      __lowerCamelCase													=    config_class.__name__
      if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
         configs_without_checkpoint.append(_UpperCamelCase							)

   if len(_UpperCamelCase							) > 0:
      __lowerCamelCase													=    '''\n'''.join(sorted(_UpperCamelCase							)							)
      raise ValueError(F"""The following configurations don't contain any valid checkpoint:\n{message}"""							)


if __name__ == "__main__":
  check_config_docstrings_have_checkpoints()






