

'''simple docstring'''






def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 def update_area_of_max_square(A__     ,				A__      ) -> int:
  # BASE CASE
  if row >= rows or col >= cols:
   return 0

  __lowercase							  = update_area_of_max_square(A__     ,				col + 1      )
  __lowercase							  = update_area_of_max_square(row + 1     ,				col + 1      )
  __lowercase							  = update_area_of_max_square(row + 1     ,				A__      )

  if mat[row][col]:
   __lowercase							  = 1 + min([right, diagonal, down]      )
   __lowercase							  = max(largest_square_area[0]     ,				A__      )
   return sub_problem_sol
  else:
   return 0

 __lowercase							  = [0]
 update_area_of_max_square(0     ,				0      )
 return largest_square_area[0]


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 def update_area_of_max_square_using_dp_array(
     A__     ,				A__     ,				A__      ) -> int:
  if row >= rows or col >= cols:
   return 0
  if dp_array[row][col] != -1:
   return dp_array[row][col]

  __lowercase							  = update_area_of_max_square_using_dp_array(A__     ,				col + 1     ,				A__      )
  __lowercase							  = update_area_of_max_square_using_dp_array(row + 1     ,				col + 1     ,				A__      )
  __lowercase							  = update_area_of_max_square_using_dp_array(row + 1     ,				A__     ,				A__      )

  if mat[row][col]:
   __lowercase							  = 1 + min([right, diagonal, down]      )
   __lowercase							  = max(largest_square_area[0]     ,				A__      )
   __lowercase							  = sub_problem_sol
   return sub_problem_sol
  else:
   return 0

 __lowercase							  = [0]
 __lowercase							  = [[-1] * cols for _ in range(A__      )]
 update_area_of_max_square_using_dp_array(0     ,				0     ,				A__      )

 return largest_square_area[0]


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 __lowercase							  = [[0] * (cols + 1) for _ in range(rows + 1      )]
 __lowercase							  = 0
 for row in range(rows - 1     ,				-1     ,				-1      ):
  for col in range(cols - 1     ,				-1     ,				-1      ):
   __lowercase							  = dp_array[row][col + 1]
   __lowercase							  = dp_array[row + 1][col + 1]
   __lowercase							  = dp_array[row + 1][col]

   if mat[row][col] == 1:
    __lowercase							  = 1 + min(A__     ,				A__     ,				A__      )
    __lowercase							  = max(dp_array[row][col]     ,				A__      )
   else:
    __lowercase							  = 0

 return largest_square_area


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 __lowercase							  = [0] * (cols + 1)
 __lowercase							  = [0] * (cols + 1)
 __lowercase							  = 0
 for row in range(rows - 1     ,				-1     ,				-1      ):
  for col in range(cols - 1     ,				-1     ,				-1      ):
   __lowercase							  = current_row[col + 1]
   __lowercase							  = next_row[col + 1]
   __lowercase							  = next_row[col]

   if mat[row][col] == 1:
    __lowercase							  = 1 + min(A__     ,				A__     ,				A__      )
    __lowercase							  = max(current_row[col]     ,				A__      )
   else:
    __lowercase							  = 0
  __lowercase							  = current_row

 return largest_square_area


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))




'''simple docstring'''






# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowerCAmelCase__											=	'''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''


def 		_A     (    A__=None      ):






 """simple docstring"""



 if subparsers is not None:
  __lowercase							  = subparsers.add_parser('''tpu-config'''     ,				description=_description      )
 else:
  __lowercase							  = argparse.ArgumentParser('''Accelerate tpu-config command'''     ,				description=_description      )
 # Core arguments
 __lowercase							  = parser.add_argument_group(
     '''Config Arguments'''     ,				'''Arguments that can be configured through `accelerate config`.'''      )
 config_args.add_argument(
     '''--config_file'''     ,				type=A__     ,				default=A__     ,				help='''Path to the config file to use for accelerate.'''     ,				)
 config_args.add_argument(
     '''--tpu_name'''     ,				default=A__     ,				help='''The name of the TPU to use. If not specified, will use the TPU specified in the config file.'''     ,				)
 config_args.add_argument(
     '''--tpu_zone'''     ,				default=A__     ,				help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''     ,				)
 __lowercase							  = parser.add_argument_group('''TPU Arguments'''     ,				'''Arguments for options ran inside the TPU.'''      )
 pod_args.add_argument(
     '''--use_alpha'''     ,				action='''store_true'''     ,				help='''Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'''     ,				)
 pod_args.add_argument(
     '''--command_file'''     ,				default=A__     ,				help='''The path to the file containing the commands to run on the pod on startup.'''     ,				)
 pod_args.add_argument(
     '''--command'''     ,				action='''append'''     ,				nargs='''+'''     ,				help='''A command to run on the pod. Can be passed multiple times.'''     ,				)
 pod_args.add_argument(
     '''--install_accelerate'''     ,				action='''store_true'''     ,				help='''Whether to install accelerate on the pod. Defaults to False.'''     ,				)
 pod_args.add_argument(
     '''--accelerate_version'''     ,				default='''latest'''     ,				help='''The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'''     ,				)
 pod_args.add_argument(
     '''--debug'''     ,				action='''store_true'''     ,				help='''If set, will print the command that would be run instead of running it.'''      )

 if subparsers is not None:
  parser.set_defaults(func=A__      )
 return parser


def 		_A     (    A__      ):






 """simple docstring"""



 __lowercase							  = None

 # Get the default from the config file if it exists.
 if args.config_file is not None or os.path.isfile(A__      ):
  __lowercase							  = load_config_from_file(args.config_file      )
  if not args.command_file and defaults.command_file is not None and not args.command:
   __lowercase							  = defaults.command_file
  if not args.command and defaults.commands is not None:
   __lowercase							  = defaults.commands
  if not args.tpu_name:
   __lowercase							  = defaults.tpu_name
  if not args.tpu_zone:
   __lowercase							  = defaults.tpu_zone
 if args.accelerate_version == "dev":
  __lowercase							  = '''git+https://github.com/huggingface/accelerate.git'''
 elif args.accelerate_version == "latest":
  __lowercase							  = '''accelerate -U'''
 elif isinstance(parse(args.accelerate_version      )     ,				A__      ):
  __lowercase							  = F"accelerate=={args.accelerate_version}"

 if not args.command_file and not args.command:
  raise ValueError('''You must specify either a command file or a command to run on the pod.'''      )

 if args.command_file:
  with open(args.command_file     ,				'''r'''      ) as f:
   __lowercase							  = [f.read().splitlines()]

    # To turn list of lists into list of strings
 if isinstance(args.command[0]     ,				A__      ):
  __lowercase							  = [line for cmd in args.command for line in cmd]
 # Default to the shared folder and install accelerate
 __lowercase							  = ['''cd /usr/share''']
 if args.install_accelerate:
  new_cmd += [F"pip install {args.accelerate_version}"]
 new_cmd += args.command
 __lowercase							  = '''; '''.join(A__      )

 # Then send it to gcloud
 # Eventually try to use google-api-core to do this instead of subprocess
 __lowercase							  = ['''gcloud''']
 if args.use_alpha:
  cmd += ["alpha"]
 cmd += [
     "compute",
     "tpus",
     "tpu-vm",
     "ssh",
     args.tpu_name,
     "--zone",
     args.tpu_zone,
     "--command",
     args.command,
     "--worker",
     "all",
 ]
 if args.debug:
  print(F"Running {' '.join(A__      )}"      )
  return
 subprocess.run(A__      )
 print('''Successfully setup pod.'''      )






def 		_A     (    ):






 """simple docstring"""



 __lowercase							  = tpu_command_parser()
 __lowercase							  = parser.parse_args()

 tpu_command_launcher(A__      )

