

from __future__ import annotations

snake_case_							=			[]


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     Union[str, Any]:


		for i in range(len(lowerCAmelCase_		)		):
				if board[row][i] == 1:
						return False
		for i in range(len(lowerCAmelCase_		)		):
				if board[i][column] == 1:
						return False
		for i, j in zip(range(lowerCAmelCase_							,       -1							,       -1		)							,       range(lowerCAmelCase_							,       -1							,       -1		)		):
				if board[i][j] == 1:
						return False
		for i, j in zip(range(lowerCAmelCase_							,       -1							,       -1		)							,       range(lowerCAmelCase_							,       len(lowerCAmelCase_		)		)		):
				if board[i][j] == 1:
						return False
		return True


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     str:


		if row >= len(lowerCAmelCase_		):
				solution.append(lowerCAmelCase_		)
				printboard(lowerCAmelCase_		)
				print()
				return True
		for i in range(len(lowerCAmelCase_		)		):
				if is_safe(lowerCAmelCase_							,       lowerCAmelCase_							,       lowerCAmelCase_		):
						lowerCamelCase   : str								=1
						solve(lowerCAmelCase_							,       row + 1		)
						lowerCamelCase   : Dict								=0
		return False


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     List[str]:


		for i in range(len(lowerCAmelCase_		)		):
				for j in range(len(lowerCAmelCase_		)		):
						if board[i][j] == 1:
								print('''Q'''							,       end=''' '''		)
						else:
								print('''.'''							,       end=''' '''		)
				print()


# n=int(input("The no. of queens"))
snake_case_							=			8
snake_case_							=			[[0 for i in range(n)] for j in range(n)]
solve(board, 0)



print('''The total no. of solutions are :''', len(solution))








# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


snake_case_							=			'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
				import torch

				print('''Torch version:''', torch.__version__)
				print('''Cuda available:''', torch.cuda.is_available())
				print('''Cuda version:''', torch.version.cuda)
				print('''CuDNN version:''', torch.backends.cudnn.version())
				print('''Number of GPUs available:''', torch.cuda.device_count())
				print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
				print('''Torch version:''', None)

try:
				import deepspeed

				print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
				print('''DeepSpeed version:''', None)

try:
				import tensorflow as tf

				print('''TensorFlow version:''', tf.__version__)
				print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
				print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
				print('''TensorFlow version:''', None)

