





"""simple docstring"""
import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
		import jax

		from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
		from transformers.models.bert.modeling_flax_bert import FlaxBertModel
		from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel






@require_flax
class 					_UpperCAmelCase   (	unittest.TestCase ):


					@slow
					def 	lowerCamelCase       (					self			:Tuple		):
												for model_name in ["bert-base-cased", "bert-large-uncased"]:
																			with self.subTest(__UpperCamelCase		):
																										A		=  AutoConfig.from_pretrained(__UpperCamelCase		)
																										self.assertIsNotNone(__UpperCamelCase		)
																										self.assertIsInstance(__UpperCamelCase     ,       __UpperCamelCase		)

																										A		=  FlaxAutoModel.from_pretrained(__UpperCamelCase		)
																										self.assertIsNotNone(__UpperCamelCase		)
																										self.assertIsInstance(__UpperCamelCase     ,       __UpperCamelCase		)


					@slow
					def 	lowerCamelCase       (					self			:Union[str, Any]		):
												for model_name in ["roberta-base", "roberta-large"]:
																			with self.subTest(__UpperCamelCase		):
																										A		=  AutoConfig.from_pretrained(__UpperCamelCase		)
																										self.assertIsNotNone(__UpperCamelCase		)
																										self.assertIsInstance(__UpperCamelCase     ,       __UpperCamelCase		)

																										A		=  FlaxAutoModel.from_pretrained(__UpperCamelCase		)
																										self.assertIsNotNone(__UpperCamelCase		)
																										self.assertIsInstance(__UpperCamelCase     ,       __UpperCamelCase		)


					@slow
					def 	lowerCamelCase       (					self			:str		):
												for model_name in ["bert-base-cased", "bert-large-uncased"]:
																			A		=  AutoTokenizer.from_pretrained(__UpperCamelCase		)
																			A		=  FlaxBertModel.from_pretrained(__UpperCamelCase		)
																			A		=  tokenizer("Do you support jax jitted function?"     ,       return_tensors=TensorType.JAX		)

																			@jax.jit
																			def eval(**__UpperCamelCase			:int		):
																										return model(**__UpperCamelCase		)

																			eval(**__UpperCamelCase		).block_until_ready()


					@slow
					def 	lowerCamelCase       (					self			:List[str]		):
												for model_name in ["roberta-base", "roberta-large"]:
																			A		=  AutoTokenizer.from_pretrained(__UpperCamelCase		)
																			A		=  FlaxRobertaModel.from_pretrained(__UpperCamelCase		)
																			A		=  tokenizer("Do you support jax jitted function?"     ,       return_tensors=TensorType.JAX		)

																			@jax.jit
																			def eval(**__UpperCamelCase			:Dict		):
																										return model(**__UpperCamelCase		)

																			eval(**__UpperCamelCase		).block_until_ready()


					def 	lowerCamelCase       (					self			:Optional[Any]		):
												with self.assertRaisesRegex(
												    __UpperCamelCase     ,       "bert-base is not a local folder and is not a valid model identifier"		):
																			A		=  FlaxAutoModel.from_pretrained("bert-base"		)


					def 	lowerCamelCase       (					self			:str		):
												with self.assertRaisesRegex(
												    __UpperCamelCase     ,       r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"		):
																			A		=  FlaxAutoModel.from_pretrained(__UpperCamelCase     ,       revision="aaaaaa"		)


					def 	lowerCamelCase       (					self			:List[str]		):
												with self.assertRaisesRegex(
												    __UpperCamelCase     ,       "hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack"     ,       ):
																			A		=  FlaxAutoModel.from_pretrained("hf-internal-testing/config-no-model"		)


					def 	lowerCamelCase       (					self			:Dict		):
												with self.assertRaisesRegex(__UpperCamelCase     ,       "Use `from_pt=True` to load this model"		):
																			A		=  FlaxAutoModel.from_pretrained("hf-internal-testing/tiny-bert-pt-only"		)









"""simple docstring"""
from __future__ import annotations

_snake_case     :		str       						= []






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






def 					A__				(			UpperCamelCase					,  UpperCamelCase       ):
							if row >= len(UpperCamelCase       ):
														solution.append(UpperCamelCase       )
														printboard(UpperCamelCase       )
														print()
														return True
							for i in range(len(UpperCamelCase       )       ):
														if is_safe(UpperCamelCase					,  UpperCamelCase					,  UpperCamelCase       ):
																					A		=  1
																					solve(UpperCamelCase					,  row + 1       )
																					A		=  0
							return False






def 					A__				(			UpperCamelCase       ):
							for i in range(len(UpperCamelCase       )       ):
														for j in range(len(UpperCamelCase       )       ):
																					if board[i][j] == 1:
																												print("Q"					,  end=" "       )
																					else:
																												print("."					,  end=" "       )
														print()


# n=int(input("The no. of queens"))
_snake_case     :		List[str]       						= 8
_snake_case     :		List[str]       						= [[0 for i in range(n)] for j in range(n)]
solve(board, 0)
print('The total no. of solutions are :', len(solution))


