import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase			:							List[Any]     =get_tests_dir("fixtures/test_sentencepiece_with_bytefallback.model")




@require_sentencepiece
@require_tokenizers
class 	__snake_case	( __lowerCAmelCase ,  unittest.TestCase		):





						'''simple docstring'''






						_snake_case    		=       GPTSwaTokenizer
						_snake_case    		=       False
						_snake_case    		=       True
						_snake_case    		=       False



						def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->Union[str, Any]:


										"""simple docstring"""


										super().setUp()

										# We have a SentencePiece fixture for testing
										_lowerCamelCase     :		Dict 						=						GPTSwaTokenizer(_UpperCamelCase    ,  eos_token="""<unk>"""    ,  bos_token="""<unk>"""    ,  pad_token="""<unk>""")

										tokenizer.save_pretrained(self.tmpdirname)



						def 	_SCREAMING_SNAKE_CASE    (					self     :				int    ,  _UpperCamelCase     :				List[str])				->Union[str, Any]:


										"""simple docstring"""


										_lowerCamelCase     :		Optional[int] 						=						"""This is a test"""
										_lowerCamelCase     :		Any 						=						"""This is a test"""
										return input_text, output_text



						def 	_SCREAMING_SNAKE_CASE    (					self     :				Union[str, Any])				->Dict:


										"""simple docstring"""


										_lowerCamelCase     :		List[str] 						=						"""<s>"""
										_lowerCamelCase     :		str 						=						1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCamelCase)    ,  _UpperCamelCase)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCamelCase)    ,  _UpperCamelCase)



						def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->List[str]:


										"""simple docstring"""


										_lowerCamelCase     :		Tuple 						=						list(self.get_tokenizer().get_vocab().keys())

										self.assertEqual(vocab_keys[0]    ,  """<unk>""")
										self.assertEqual(vocab_keys[1]    ,  """<s>""")
										self.assertEqual(vocab_keys[-1]    ,  """j""")
										self.assertEqual(len(_UpperCamelCase)    ,  2000)



						def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict)				->List[str]:


										"""simple docstring"""


										self.assertEqual(self.get_tokenizer().vocab_size    ,  2000)



						def 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->List[str]:


										"""simple docstring"""


										_lowerCamelCase     :		Optional[Any] 						=						GPTSwaTokenizer(_UpperCamelCase)

										_lowerCamelCase     :		Optional[int] 						=						tokenizer.tokenize("""This is a test""")
										self.assertListEqual(_UpperCamelCase    ,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""])

										self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase)    ,  [465, 287, 265, 631, 842])

										_lowerCamelCase     :		Union[str, Any] 						=						tokenizer.tokenize("""I was born in 92000, and this is falsé.""")
										# fmt: off
										self.assertListEqual(
										    _UpperCamelCase    ,  ["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]    ,  )
										# fmt: on

										_lowerCamelCase     :		Any 						=						tokenizer.convert_tokens_to_ids(_UpperCamelCase)
										self.assertListEqual(
										    _UpperCamelCase    ,  [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]    ,  )

										_lowerCamelCase     :		List[Any] 						=						tokenizer.convert_ids_to_tokens(_UpperCamelCase)
										# fmt: off
										self.assertListEqual(
										    _UpperCamelCase    ,  ["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""])
										# fmt: on



						def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->str:


										"""simple docstring"""


										_lowerCamelCase     :		List[str] 						=						GPTSwaTokenizer(_UpperCamelCase)
										_lowerCamelCase     :		Optional[int] 						=						["""This is a test""", """I was born in 92000, and this is falsé."""]
										_lowerCamelCase     :		Optional[Any] 						=						[
										    [465, 287, 265, 631, 842],
										    [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
										]

										# Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
										for text, expected_ids in zip(_UpperCamelCase    ,  _UpperCamelCase):
														self.assertListEqual(tokenizer.encode_fast(_UpperCamelCase)    ,  _UpperCamelCase)

										# Test that decode_fast returns the input text
										for text, token_ids in zip(_UpperCamelCase    ,  _UpperCamelCase):
														self.assertEqual(tokenizer.decode_fast(_UpperCamelCase)    ,  _UpperCamelCase)




						@slow
						def 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->Tuple:


										"""simple docstring"""


										_lowerCamelCase     :		Dict 						=						[
										    """<|python|>def fibonacci(n)\n    if n < 0:\n        print('Incorrect input')""",
										    """Hey there, how are you doing this fine day?""",
										    """This is a text with a trailing spaces followed by a dot     .""",
										    """Häj sväjs lillebrör! =)""",
										    """Det är inget fel på Mr. Cool""",
										]

										# fmt: off
										_lowerCamelCase     :		List[str] 						=						{"""input_ids""": [[6_3423, 5, 6811, 1_4954, 282, 816, 3821, 6_3466, 6_3425, 6_3462, 18, 6_3978, 678, 301, 1320, 6_3423, 6_3455, 6_3458, 18, 6_3982, 4246, 3940, 1901, 4_7789, 5547, 1_8994], [1_9630, 1100, 6_3446, 1342, 633, 544, 4488, 593, 5102, 2416, 6_3495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 5_8593, 2_2413, 9106, 546, 268, 3_3213, 6_3979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5130, 6_3450, 924, 6_3449, 2249, 4062, 1558, 318, 6_3504, 2_1498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 6_3443, 2_6801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
										# fmt: on
										self.tokenizer_integration_test_util(
										    expected_encoding=_UpperCamelCase    ,  model_name="""AI-Sweden/gpt-sw3-126m"""    ,  sequences=_UpperCamelCase    ,  )





from __future__ import annotations

lowerCAmelCase			:							int     =[]







def 						A__  (					__A   , __A   , __A	):







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







def 						A__  (					__A   , __A	):







    '''simple docstring'''
    if row >= len(__A	):
        solution.append(__A	)
        printboard(__A	)
        print()
        return True
    for i in range(len(__A	)	):
        if is_safe(__A   , __A   , __A	):
            _lowerCamelCase     :		int 						=						1
            solve(__A   , row + 1	)
            _lowerCamelCase     :		List[str] 						=						0
    return False







def 						A__  (					__A	):







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


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




