
'''simple docstring'''
import os




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ = "matrix.txt"			)  ->							int:


		'''simple docstring'''


		with open(os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE__			) ,       SCREAMING_SNAKE_CASE__			)			) as in_file:
				snake_case  :       Optional[int]     			=						in_file.read()

		snake_case  :       Tuple     			=						[[int(SCREAMING_SNAKE_CASE__			) for cell in row.split(''','''			)] for row in data.strip().splitlines()]
		snake_case  :       str     			=						[[0 for cell in row] for row in grid]
		snake_case  :       Dict     			=						len(grid[0]			)

		snake_case  :       Union[str, Any]     			=						[[0 for i in range(SCREAMING_SNAKE_CASE__			)] for j in range(SCREAMING_SNAKE_CASE__			)]
		snake_case  :       Optional[int]     			=						grid[0][0]
		for i in range(1 ,       SCREAMING_SNAKE_CASE__			):
				snake_case  :       Any     			=						grid[0][i] + dp[0][i - 1]
		for i in range(1 ,       SCREAMING_SNAKE_CASE__			):
				snake_case  :       List[Any]     			=						grid[i][0] + dp[i - 1][0]

		for i in range(1 ,       SCREAMING_SNAKE_CASE__			):
				for j in range(1 ,       SCREAMING_SNAKE_CASE__			):
						snake_case  :       Union[str, Any]     			=						grid[i][j] + min(dp[i - 1][j] ,       dp[i][j - 1]			)

		return dp[-1][-1]


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




'''simple docstring'''
from typing import TYPE_CHECKING

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


lowercase__						       =      {
    "configuration_poolformer": [
        "POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "PoolFormerConfig",
        "PoolFormerOnnxConfig",
    ]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["PoolFormerFeatureExtractor"]
						lowercase__						       =      ["PoolFormerImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      [
						    "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "PoolFormerForImageClassification",
						    "PoolFormerModel",
						    "PoolFormerPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_poolformer import (
						    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    PoolFormerConfig,
						    PoolFormerOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_poolformer import PoolFormerFeatureExtractor
												from .image_processing_poolformer import PoolFormerImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_poolformer import (
												    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    PoolFormerForImageClassification,
												    PoolFormerModel,
												    PoolFormerPreTrainedModel,
												)


else:
						import sys

						lowercase__						       =      _LazyModule(__name__, globals()["__file__"], _import_structure)


