


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A		:					str          =							{'''configuration_qdqbert''': ['''QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''QDQBertConfig''']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A		:					str          =							[
       '''QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''QDQBertForMaskedLM''',
       '''QDQBertForMultipleChoice''',
       '''QDQBertForNextSentencePrediction''',
       '''QDQBertForQuestionAnswering''',
       '''QDQBertForSequenceClassification''',
       '''QDQBertForTokenClassification''',
       '''QDQBertLayer''',
       '''QDQBertLMHeadModel''',
       '''QDQBertModel''',
       '''QDQBertPreTrainedModel''',
       '''load_tf_weights_in_qdqbert''',
   ]


if TYPE_CHECKING:
   from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_qdqbert import (
          QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          QDQBertForMaskedLM,
          QDQBertForMultipleChoice,
          QDQBertForNextSentencePrediction,
          QDQBertForQuestionAnswering,
          QDQBertForSequenceClassification,
          QDQBertForTokenClassification,
          QDQBertLayer,
          QDQBertLMHeadModel,
          QDQBertModel,
          QDQBertPreTrainedModel,
          load_tf_weights_in_qdqbert,
      )


else:
   import sys

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






import sys



def      __lowerCAmelCase    (				snake_case						:     int    ,   snake_case						:     list[int]			)							->				int:
   if not numbers:
      return 0
   if target == 0 and target in numbers:
      return 0
   if not isinstance(snake_case    ,   (list, tuple)			) or not all(
       isinstance(snake_case    ,   snake_case			) for number in numbers			):
      raise ValueError("""numbers must be an iterable of integers"""			)

   __lowerCamelCase:					Union[str, Any]	 =						0
   __lowerCamelCase:					str	 =						sys.maxsize

   while right < len(snake_case			):
      curr_sum += numbers[right]
      while curr_sum >= target and left <= right:
         __lowerCamelCase:					str	 =						min(snake_case    ,   right - left + 1			)
         curr_sum -= numbers[left]
         left += 1
      right += 1

   return 0 if min_len == sys.maxsize else min_len


