import os





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				with open(os.path.dirname(lowercase							) + '''/grid.txt'''							) as f:
								__lowercase 			=							[]  # noqa: E741
								for _ in range(20							):
												l.append([int(lowercase							) for x in f.readline().split()]							)

								__lowercase 			=							0

								# right
								for i in range(20							):
												for j in range(17							):
																__lowercase 			=							l[i][j] * l[i][j + 1] * l[i][j + 2] * l[i][j + 3]
																if temp > maximum:
																				__lowercase 			=							temp

        # down
								for i in range(17							):
												for j in range(20							):
																__lowercase 			=							l[i][j] * l[i + 1][j] * l[i + 2][j] * l[i + 3][j]
																if temp > maximum:
																				__lowercase 			=							temp

        # diagonal 1
								for i in range(17							):
												for j in range(17							):
																__lowercase 			=							l[i][j] * l[i + 1][j + 1] * l[i + 2][j + 2] * l[i + 3][j + 3]
																if temp > maximum:
																				__lowercase 			=							temp

        # diagonal 2
								for i in range(17							):
												for j in range(3							,			20							):
																__lowercase 			=							l[i][j] * l[i + 1][j - 1] * l[i + 2][j - 2] * l[i + 3][j - 3]
																if temp > maximum:
																				__lowercase 			=							temp
								return maximum


if __name__ == "__main__":
		print(solution())
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__a  :     Any       =  {
    """configuration_bloom""": ["""BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BloomConfig""", """BloomOnnxConfig"""],
}
try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     Optional[int]       =  ["""BloomTokenizerFast"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     str       =  [
		    """BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BloomForCausalLM""",
		    """BloomModel""",
		    """BloomPreTrainedModel""",
		    """BloomForSequenceClassification""",
		    """BloomForTokenClassification""",
		    """BloomForQuestionAnswering""",
		]

if TYPE_CHECKING:
		from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bloom_fast import BloomTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bloom import (
				    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BloomForCausalLM,
				    BloomForQuestionAnswering,
				    BloomForSequenceClassification,
				    BloomForTokenClassification,
				    BloomModel,
				    BloomPreTrainedModel,
				)

else:
		import sys

		__a  :     Dict       =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)