



'''simple docstring'''


import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 	UpperCAmelCase	(		__a					,	unittest.TestCase):


 '''simple docstring'''




 __magic_name__					: Tuple  =      GPTaTokenizer
 __magic_name__					: Optional[int]  =      GPTaTokenizerFast
 __magic_name__					: Optional[int]  =      True
 __magic_name__					: Optional[Any]  =      {"add_prefix_space": True}
 __magic_name__					: List[str]  =      False




 def       lowercase_  (   self) ->      Dict:



      """simple docstring"""







      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      a_       		=[
          "l",
          "o",
          "w",
          "e",
          "r",
          "s",
          "t",
          "i",
          "d",
          "n",
          "\u0120",
          "\u0120l",
          "\u0120n",
          "\u0120lo",
          "\u0120low",
          "er",
          "\u0120lowest",
          "\u0120newer",
          "\u0120wider",
          "<unk>",
          "<|endoftext|>",
      ]
      a_       		=dict(zip(lowerCAmelCase_							,  range(len(lowerCAmelCase_))))
      a_       		=["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
      a_       		={"unk_token": "<unk>"}

      a_       		=os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES["vocab_file"])
      a_       		=os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES["merges_file"])
      with open(self.vocab_file							,  "w"							,  encoding="utf-8") as fp:
           fp.write(json.dumps(lowerCAmelCase_) + "\n")
      with open(self.merges_file							,  "w"							,  encoding="utf-8") as fp:
           fp.write("\n".join(lowerCAmelCase_))




 def       lowercase_  (   self							,  **lowerCAmelCase_) ->      str:



      """simple docstring"""







      kwargs.update(self.special_tokens_map)
      return GPTaTokenizer.from_pretrained(self.tmpdirname							,  **lowerCAmelCase_)




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



      """simple docstring"""







      kwargs.update(self.special_tokens_map)
      return GPTaTokenizerFast.from_pretrained(self.tmpdirname							,  **lowerCAmelCase_)




 def       lowercase_  (   self							,  lowerCAmelCase_) ->      List[Any]:



      """simple docstring"""







      a_       		="lower newer"
      a_       		="lower newer"
      return input_text, output_text




 def       lowercase_  (   self) ->      Optional[int]:



      """simple docstring"""







      a_       		=GPTaTokenizer(self.vocab_file							,  self.merges_file							,  **self.special_tokens_map)
      a_       		="lower newer"
      a_       		=["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
      a_       		=tokenizer.tokenize(lowerCAmelCase_							,  add_prefix_space=lowerCAmelCase_)
      self.assertListEqual(lowerCAmelCase_							,  lowerCAmelCase_)

      a_       		=tokens + [tokenizer.unk_token]
      a_       		=[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_)							,  lowerCAmelCase_)




 def       lowercase_  (   self) ->      Any:



      """simple docstring"""







      if not self.test_rust_tokenizer:
           return

      a_       		=self.get_tokenizer()
      a_       		=self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_)

      a_       		="lower newer"

      # Testing tokenization
      a_       		=tokenizer.tokenize(lowerCAmelCase_							,  add_prefix_space=lowerCAmelCase_)
      a_       		=rust_tokenizer.tokenize(lowerCAmelCase_)
      self.assertListEqual(lowerCAmelCase_							,  lowerCAmelCase_)

      # Testing conversion to ids without special tokens
      a_       		=tokenizer.encode(lowerCAmelCase_							,  add_special_tokens=lowerCAmelCase_							,  add_prefix_space=lowerCAmelCase_)
      a_       		=rust_tokenizer.encode(lowerCAmelCase_							,  add_special_tokens=lowerCAmelCase_)
      self.assertListEqual(lowerCAmelCase_							,  lowerCAmelCase_)

      # Testing conversion to ids with special tokens
      a_       		=self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_)
      a_       		=tokenizer.encode(lowerCAmelCase_							,  add_prefix_space=lowerCAmelCase_)
      a_       		=rust_tokenizer.encode(lowerCAmelCase_)
      self.assertListEqual(lowerCAmelCase_							,  lowerCAmelCase_)

      # Testing the unknown token
      a_       		=tokens + [rust_tokenizer.unk_token]
      a_       		=[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
      self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowerCAmelCase_)							,  lowerCAmelCase_)




 def       lowercase_  (   self							,  *lowerCAmelCase_							,  **lowerCAmelCase_) ->      Optional[int]:



      """simple docstring"""







      pass




 def       lowercase_  (   self							,  lowerCAmelCase_=1_5) ->      int:



      """simple docstring"""







      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                a_       		=self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_							,  **lowerCAmelCase_)

                # Simple input
                a_       		="This is a simple input"
                a_       		=["This is a simple input 1", "This is a simple input 2"]
                a_       		=("This is a simple input", "This is a pair")
                a_       		=[
                    ("This is a simple input 1", "This is a simple input 2"),
                    ("This is a simple pair 1", "This is a simple pair 2"),
                ]

                # Simple input tests
                self.assertRaises(lowerCAmelCase_							,  tokenizer_r.encode							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length")

                # Simple input
                self.assertRaises(lowerCAmelCase_							,  tokenizer_r.encode_plus							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length")

                # Simple input
                self.assertRaises(
                    lowerCAmelCase_							,  tokenizer_r.batch_encode_plus							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length"							,  )

                # Pair input
                self.assertRaises(lowerCAmelCase_							,  tokenizer_r.encode							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length")

                # Pair input
                self.assertRaises(lowerCAmelCase_							,  tokenizer_r.encode_plus							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length")

                # Pair input
                self.assertRaises(
                    lowerCAmelCase_							,  tokenizer_r.batch_encode_plus							,  lowerCAmelCase_							,  max_length=lowerCAmelCase_							,  padding="max_length"							,  )




 def       lowercase_  (   self) ->      Optional[Any]:



      """simple docstring"""







      a_       		=GPTaTokenizer.from_pretrained(self.tmpdirname							,  pad_token="<pad>")

      # Simple input
      a_       		="This is a simple input"
      a_       		=["This is a simple input looooooooong", "This is a simple input"]
      a_       		=("This is a simple input", "This is a pair")
      a_       		=[
          ("This is a simple input loooooong", "This is a simple input"),
          ("This is a simple pair loooooong", "This is a simple pair"),
      ]

      a_       		=tokenizer.pad_token_id

      a_       		=tokenizer(lowerCAmelCase_							,  padding="max_length"							,  max_length=3_0							,  return_tensors="np")
      a_       		=tokenizer(lowerCAmelCase_							,  padding=lowerCAmelCase_							,  truncate=lowerCAmelCase_							,  return_tensors="np")
      a_       		=tokenizer(*lowerCAmelCase_							,  padding="max_length"							,  max_length=6_0							,  return_tensors="np")
      a_       		=tokenizer(lowerCAmelCase_							,  padding=lowerCAmelCase_							,  truncate=lowerCAmelCase_							,  return_tensors="np")

      # s
      # test single string max_length padding
      self.assertEqual(out_s["input_ids"].shape[-1]							,  3_0)
      self.assertTrue(pad_token_id in out_s["input_ids"])
      self.assertTrue(0 in out_s["attention_mask"])

      # s2
      # test automatic padding
      self.assertEqual(out_sa["input_ids"].shape[-1]							,  3_3)
      # long slice doesn't have padding
      self.assertFalse(pad_token_id in out_sa["input_ids"][0])
      self.assertFalse(0 in out_sa["attention_mask"][0])
      # short slice does have padding
      self.assertTrue(pad_token_id in out_sa["input_ids"][1])
      self.assertTrue(0 in out_sa["attention_mask"][1])

      # p
      # test single pair max_length padding
      self.assertEqual(out_p["input_ids"].shape[-1]							,  6_0)
      self.assertTrue(pad_token_id in out_p["input_ids"])
      self.assertTrue(0 in out_p["attention_mask"])

      # p2
      # test automatic padding pair
      self.assertEqual(out_pa["input_ids"].shape[-1]							,  5_2)
      # long slice pair doesn't have padding
      self.assertFalse(pad_token_id in out_pa["input_ids"][0])
      self.assertFalse(0 in out_pa["attention_mask"][0])
      # short slice pair does have padding
      self.assertTrue(pad_token_id in out_pa["input_ids"][1])
      self.assertTrue(0 in out_pa["attention_mask"][1])




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



      """simple docstring"""







      a_       		="$$$"
      a_       		=GPTaTokenizer.from_pretrained(self.tmpdirname							,  bos_token=lowerCAmelCase_							,  add_bos_token=lowerCAmelCase_)

      a_       		="This is a simple input"
      a_       		=["This is a simple input 1", "This is a simple input 2"]

      a_       		=tokenizer.bos_token_id

      a_       		=tokenizer(lowerCAmelCase_)
      a_       		=tokenizer(lowerCAmelCase_)

      self.assertEqual(out_s.input_ids[0]							,  lowerCAmelCase_)
      self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids))

      a_       		=tokenizer.decode(out_s.input_ids)
      a_       		=tokenizer.batch_decode(out_sa.input_ids)

      self.assertEqual(decode_s.split()[0]							,  lowerCAmelCase_)
      self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa))




 def       lowercase_  (   self) ->      Optional[int]:



      """simple docstring"""







      pass




 def       lowercase_  (   self) ->      Any:



      """simple docstring"""







      a_       		=[self.get_tokenizer(do_lower_case=lowerCAmelCase_							,  add_bos_token=lowerCAmelCase_)]
      for tokenizer in tokenizers:
           with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                a_       		="Encode this."
                a_       		="This one too please."
                a_       		=tokenizer.encode(lowerCAmelCase_							,  add_special_tokens=lowerCAmelCase_)
                encoded_sequence += tokenizer.encode(lowerCAmelCase_							,  add_special_tokens=lowerCAmelCase_)
                a_       		=tokenizer.encode_plus(
                    lowerCAmelCase_							,  lowerCAmelCase_							,  add_special_tokens=lowerCAmelCase_							,  return_special_tokens_mask=lowerCAmelCase_							,  )
                a_       		=encoded_sequence_dict["input_ids"]
                a_       		=encoded_sequence_dict["special_tokens_mask"]
                self.assertEqual(len(lowerCAmelCase_)							,  len(lowerCAmelCase_))

                a_       		=[
                    (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowerCAmelCase_)
                ]
                a_       		=[x for x in filtered_sequence if x is not None]
                self.assertEqual(lowerCAmelCase_							,  lowerCAmelCase_)







@require_tokenizers
class 	UpperCAmelCase	(		unittest.TestCase):


 '''simple docstring'''




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



      """simple docstring"""







      a_       		=AutoTokenizer.from_pretrained("facebook/opt-350m"							,  from_slow=lowerCAmelCase_)
      a_       		="A photo of a cat"

      a_       		=tokenizer.encode(
          lowerCAmelCase_							,  )
      self.assertEqual(lowerCAmelCase_							,  [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8])
      tokenizer.save_pretrained("test_opt")

      a_       		=AutoTokenizer.from_pretrained("./test_opt")
      a_       		=tokenizer.encode(
          lowerCAmelCase_							,  )
      self.assertEqual(lowerCAmelCase_							,  [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8])




 def       lowercase_  (   self) ->      Optional[int]:



      """simple docstring"""







      a_       		=AutoTokenizer.from_pretrained("facebook/opt-350m"							,  use_slow=lowerCAmelCase_)
      a_       		="A photo of a cat"

      a_       		=tokenizer.encode(
          lowerCAmelCase_							,  )
      # Same as above
      self.assertEqual(lowerCAmelCase_							,  [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8])




 @unittest.skip("This test is failing because of a bug in the fast tokenizer")
 def       lowercase_  (   self) ->      str:



      """simple docstring"""







      a_       		=AutoTokenizer.from_pretrained("facebook/opt-350m"							,  from_slow=lowerCAmelCase_)

      a_       		="bos"
      a_       		=tokenizer.get_vocab()["bos"]

      a_       		="A photo of a cat"
      a_       		=tokenizer.encode(
          lowerCAmelCase_							,  )
      # We changed the bos token
      self.assertEqual(lowerCAmelCase_							,  [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8])
      tokenizer.save_pretrained("./tok")
      a_       		=AutoTokenizer.from_pretrained("./tok")
      self.assertTrue(tokenizer.is_fast)
      a_       		=tokenizer.encode(
          lowerCAmelCase_							,  )
      self.assertEqual(lowerCAmelCase_							,  [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8])







'''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))


