

import sys
def 		UpperCamelCase_(    snake_case__:						Dict						,					snake_case__:						str     ) ->				int:


 if not numbers:
  return 0
 if target == 0 and target in numbers:
  return 0
 if not isinstance(SCREAMING_SNAKE_CASE__						,					(list, tuple)     ) or not all(
     isinstance(SCREAMING_SNAKE_CASE__						,					SCREAMING_SNAKE_CASE__     ) for number in numbers     ):
  raise ValueError('numbers must be an iterable of integers'     )

 UpperCAmelCase__           =       0
 UpperCAmelCase__           =       sys.maxsize

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

 return 0 if min_len == sys.maxsize else min_len








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase     =    {
    '''configuration_fsmt''': ['''FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FSMTConfig'''],
    '''tokenization_fsmt''': ['''FSMTTokenizer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _UpperCamelCase     =    ['''FSMTForConditionalGeneration''', '''FSMTModel''', '''PretrainedFSMTModel''']


if TYPE_CHECKING:
 from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
 from .tokenization_fsmt import FSMTTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
 import sys

 _UpperCamelCase     =    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



