


def       UpperCAmelCase__						():



     """simple docstring"""






     snake_case					=    [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]

     snake_case					=    6
     snake_case					=    1
     snake_case					=    19_01

     snake_case					=    0

     while year < 20_01:
          day += 7

          if (year % 4 == 0 and year % 1_00 != 0) or (year % 4_00 == 0):
               if day > days_per_month[month - 1] and month != 2:
                    month += 1
                    snake_case					=    day - days_per_month[month - 2]
               elif day > 29 and month == 2:
                    month += 1
                    snake_case					=    day - 29
          else:
               if day > days_per_month[month - 1]:
                    month += 1
                    snake_case					=    day - days_per_month[month - 2]

          if month > 12:
               year += 1
               snake_case					=    1

          if year < 20_01 and day == 1:
               sundays += 1
     return sundays


if __name__ == "__main__":
 print(solution())








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_SCREAMING_SNAKE_CASE      :			int      				=   {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE      :			Dict      				=   [
     "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TimesformerModel",
     "TimesformerForVideoClassification",
     "TimesformerPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_timesformer import (
      TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      TimesformerForVideoClassification,
      TimesformerModel,
      TimesformerPreTrainedModel,
  )

else:
 import sys

 _SCREAMING_SNAKE_CASE      :			int      				=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




