



'''simple docstring'''


import tempfile
import unittest

import numpy as np
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax


if is_flax_available():
 import os

 from flax.core.frozen_dict import unfreeze
 from flax.traverse_util import flatten_dict

 from transformers import FlaxBertModel

 lowercase							       =			'''0.12'''  # assumed parallelism: 8







@require_flax
@is_staging_test
class 	UpperCAmelCase	(		unittest.TestCase):


 '''simple docstring'''




 @classmethod
 def       lowercase_  (   cls) ->      int:



      """simple docstring"""







      a_       		=TOKEN
      HfFolder.save_token(lowerCAmelCase_)




 @classmethod
 def       lowercase_  (   cls) ->      Optional[int]:



      """simple docstring"""







      try:
           delete_repo(token=cls._token							,  repo_id="test-model-flax")
      except HTTPError:
           pass

      try:
           delete_repo(token=cls._token							,  repo_id="valid_org/test-model-flax-org")
      except HTTPError:
           pass




 def       lowercase_  (   self) ->      Any:



      """simple docstring"""







      a_       		=BertConfig(
          vocab_size=9_9							,  hidden_size=3_2							,  num_hidden_layers=5							,  num_attention_heads=4							,  intermediate_size=3_7)
      a_       		=FlaxBertModel(lowerCAmelCase_)
      model.push_to_hub("test-model-flax"							,  use_auth_token=self._token)

      a_       		=FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax""")

      a_       		=flatten_dict(unfreeze(model.params))
      a_       		=flatten_dict(unfreeze(new_model.params))

      for key in base_params.keys():
           a_       		=(base_params[key] - new_params[key]).sum().item()
           self.assertLessEqual(lowerCAmelCase_							,  1e-3							,  msg=f"""{key} not identical""")

      # Reset repo
      delete_repo(token=self._token							,  repo_id="test-model-flax")

      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
           model.save_pretrained(lowerCAmelCase_							,  repo_id="test-model-flax"							,  push_to_hub=lowerCAmelCase_							,  use_auth_token=self._token)

      a_       		=FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax""")

      a_       		=flatten_dict(unfreeze(model.params))
      a_       		=flatten_dict(unfreeze(new_model.params))

      for key in base_params.keys():
           a_       		=(base_params[key] - new_params[key]).sum().item()
           self.assertLessEqual(lowerCAmelCase_							,  1e-3							,  msg=f"""{key} not identical""")




 def       lowercase_  (   self) ->      List[str]:



      """simple docstring"""







      a_       		=BertConfig(
          vocab_size=9_9							,  hidden_size=3_2							,  num_hidden_layers=5							,  num_attention_heads=4							,  intermediate_size=3_7)
      a_       		=FlaxBertModel(lowerCAmelCase_)
      model.push_to_hub("valid_org/test-model-flax-org"							,  use_auth_token=self._token)

      a_       		=FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")

      a_       		=flatten_dict(unfreeze(model.params))
      a_       		=flatten_dict(unfreeze(new_model.params))

      for key in base_params.keys():
           a_       		=(base_params[key] - new_params[key]).sum().item()
           self.assertLessEqual(lowerCAmelCase_							,  1e-3							,  msg=f"""{key} not identical""")

      # Reset repo
      delete_repo(token=self._token							,  repo_id="valid_org/test-model-flax-org")

      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
           model.save_pretrained(
               lowerCAmelCase_							,  repo_id="valid_org/test-model-flax-org"							,  push_to_hub=lowerCAmelCase_							,  use_auth_token=self._token)

      a_       		=FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")

      a_       		=flatten_dict(unfreeze(model.params))
      a_       		=flatten_dict(unfreeze(new_model.params))

      for key in base_params.keys():
           a_       		=(base_params[key] - new_params[key]).sum().item()
           self.assertLessEqual(lowerCAmelCase_							,  1e-3							,  msg=f"""{key} not identical""")






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=True
     a_       		=flatten_dict(modela.params       )
     a_       		=flatten_dict(modela.params       )
     for key in flat_params_a.keys():
          if np.sum(np.abs(flat_params_a[key] - flat_params_a[key]       )       ) > 1E-4:
               a_       		=False

     return models_are_equal







@require_flax
class 	UpperCAmelCase	(		unittest.TestCase):


 '''simple docstring'''




 def       lowercase_  (   self) ->      int:



      """simple docstring"""







      a_       		=BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
      a_       		=FlaxBertModel(lowerCAmelCase_)

      a_       		="bert"
      with tempfile.TemporaryDirectory() as tmp_dir:
           model.save_pretrained(os.path.join(lowerCAmelCase_							,  lowerCAmelCase_))

           with self.assertRaises(lowerCAmelCase_):
                a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_)

           a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_							,  subfolder=lowerCAmelCase_)

      self.assertTrue(check_models_equal(lowerCAmelCase_							,  lowerCAmelCase_))




 def       lowercase_  (   self) ->      Any:



      """simple docstring"""







      a_       		=BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
      a_       		=FlaxBertModel(lowerCAmelCase_)

      a_       		="bert"
      with tempfile.TemporaryDirectory() as tmp_dir:
           model.save_pretrained(os.path.join(lowerCAmelCase_							,  lowerCAmelCase_)							,  max_shard_size="10KB")

           with self.assertRaises(lowerCAmelCase_):
                a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_)

           a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_							,  subfolder=lowerCAmelCase_)

      self.assertTrue(check_models_equal(lowerCAmelCase_							,  lowerCAmelCase_))




 def       lowercase_  (   self) ->      int:



      """simple docstring"""







      a_       		="bert"
      a_       		="hf-internal-testing/tiny-random-bert-subfolder"

      with self.assertRaises(lowerCAmelCase_):
           a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_)

      a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_							,  subfolder=lowerCAmelCase_)

      self.assertIsNotNone(lowerCAmelCase_)




 def       lowercase_  (   self) ->      Dict:



      """simple docstring"""







      a_       		="bert"
      a_       		="hf-internal-testing/tiny-random-bert-sharded-subfolder"
      with self.assertRaises(lowerCAmelCase_):
           a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_)

      a_       		=FlaxBertModel.from_pretrained(lowerCAmelCase_							,  subfolder=lowerCAmelCase_)

      self.assertIsNotNone(lowerCAmelCase_)







'''simple docstring'''


from __future__ import annotations

lowercase							       =			[]






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







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






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







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






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







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


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

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


