import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


_SCREAMING_SNAKE_CASE      						=	get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
     from transformers.models.plbart.modeling_plbart import shift_tokens_right

_SCREAMING_SNAKE_CASE      						=	5_0_0_0_3
_SCREAMING_SNAKE_CASE      						=	5_0_0_0_2
@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE_						(	lowerCAmelCase__   ,			unittest.TestCase						):
   __lowerCAmelCase      =							PLBartTokenizer
   __lowerCAmelCase      =							None
   __lowerCAmelCase      =							False







   def 		lowerCamelCase_     (			self		:		Optional[int]							):





    """simple docstring"""


    super().setUp()

    # We have a SentencePiece fixture for testing
    UpperCamelCase          =	PLBartTokenizer(__a					,					language_codes="""base"""					,					keep_accents=__a							)
    tokenizer.save_pretrained(self.tmpdirname							)







   def 		lowerCamelCase_     (			self		:		List[str]							):





    """simple docstring"""


    UpperCamelCase          =	PLBartTokenizer(__a					,					language_codes="""base"""					,					keep_accents=__a							)

    UpperCamelCase          =	tokenizer.tokenize("""This is a test"""							)
    self.assertListEqual(__a					,					["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(__a							)					,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]					,					)

    UpperCamelCase          =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
    self.assertListEqual(
        __a					,					[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """9""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """é""",
            """.""",
        ]					,					)
    UpperCamelCase          =	tokenizer.convert_tokens_to_ids(__a							)
    self.assertListEqual(
        __a					,					[
            value + tokenizer.fairseq_offset
            for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
        ]					,					)

    UpperCamelCase          =	tokenizer.convert_ids_to_tokens(__a							)
    self.assertListEqual(
        __a					,					[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """<unk>""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """<unk>""",
            """.""",
        ]					,					)

    UpperCamelCase          =	tokenizer.vocab_size
    UpperCamelCase          =	[tokenizer.convert_ids_to_tokens(__a							) for x in range(end - 4					,					__a							)]

    self.assertListEqual(__a					,					["""__java__""", """__python__""", """__en_XX__""", """<mask>"""]							)

    UpperCamelCase          =	"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
    UpperCamelCase          =	tokenizer(__a							).input_ids
    self.assertEqual(
        tokenizer.decode(__a					,					skip_special_tokens=__a					,					clean_up_tokenization_spaces=__a							)					,					__a					,					)







   def 		lowerCamelCase_     (			self		:		Dict							):





    """simple docstring"""


    UpperCamelCase          =	PLBartTokenizer(__a					,					language_codes="""multi"""					,					keep_accents=__a							)

    UpperCamelCase          =	tokenizer.tokenize("""This is a test"""							)
    self.assertListEqual(__a					,					["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(__a							)					,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]					,					)

    UpperCamelCase          =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
    self.assertListEqual(
        __a					,					[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """9""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """é""",
            """.""",
        ]					,					)
    UpperCamelCase          =	tokenizer.convert_tokens_to_ids(__a							)
    self.assertListEqual(
        __a					,					[
            value + tokenizer.fairseq_offset
            for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
        ]					,					)

    UpperCamelCase          =	tokenizer.convert_ids_to_tokens(__a							)
    self.assertListEqual(
        __a					,					[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """<unk>""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """<unk>""",
            """.""",
        ]					,					)
    UpperCamelCase          =	tokenizer.vocab_size
    UpperCamelCase          =	[tokenizer.convert_ids_to_tokens(__a							) for x in range(end - 7					,					__a							)]

    self.assertListEqual(
        __a					,					["""__java__""", """__python__""", """__en_XX__""", """__javascript__""", """__php__""", """__ruby__""", """__go__"""]							)
    UpperCamelCase          =	"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
    UpperCamelCase          =	tokenizer(__a							).input_ids
    self.assertEqual(
        tokenizer.decode(__a					,					skip_special_tokens=__a					,					clean_up_tokenization_spaces=__a							)					,					__a					,					)





@require_torch
@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE_						(	unittest.TestCase						):
   __lowerCAmelCase      =							"""uclanlp/plbart-python-en_XX"""
   __lowerCAmelCase      =							[
       """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
       """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
   ]
   __lowerCAmelCase      =							[
       """Returns the maximum value of a b c.""",
       """Sums the values of a b c.""",
   ]
   __lowerCAmelCase      =							[
       134,
       5_452,
       33_460,
       33_441,
       33_463,
       33_465,
       33_463,
       33_449,
       988,
       20,
       33_456,
       19,
       33_456,
       771,
       39,
       4_258,
       889,
       3_318,
       33_441,
       33_463,
       33_465,
       33_463,
       33_449,
       2_471,
       2,
       PYTHON_CODE,
   ]







   @classmethod
   def 		lowerCamelCase_     (			cls		:		str							):





    """simple docstring"""


    UpperCamelCase          =	PLBartTokenizer.from_pretrained(
        cls.checkpoint_name					,					language_codes="""base"""					,					src_lang="""python"""					,					tgt_lang="""en_XX"""							)
    UpperCamelCase          =	1
    return cls







   def 		lowerCamelCase_     (			self		:		List[str]							):





    """simple docstring"""


    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""]					,					5_0001							)
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""]					,					5_0002							)
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""]					,					5_0003							)







   def 		lowerCamelCase_     (			self		:		Optional[Any]							):





    """simple docstring"""


    UpperCamelCase          =	self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
    self.assertListEqual(self.expected_src_tokens					,					__a							)







   def 		lowerCamelCase_     (			self		:		Tuple							):





    """simple docstring"""


    self.assertIn(__a					,					self.tokenizer.all_special_ids							)
    UpperCamelCase          =	[EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
    UpperCamelCase          =	self.tokenizer.decode(__a					,					skip_special_tokens=__a							)
    UpperCamelCase          =	self.tokenizer.decode(generated_ids[1:]					,					skip_special_tokens=__a							)
    self.assertEqual(__a					,					__a							)
    self.assertNotIn(self.tokenizer.eos_token					,					__a							)







   def 		lowerCamelCase_     (			self		:		Optional[Any]							):





    """simple docstring"""


    UpperCamelCase          =	["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 20]
    self.assertIsInstance(src_text[0]					,					__a							)
    UpperCamelCase          =	10
    UpperCamelCase          =	self.tokenizer(__a					,					max_length=__a					,					truncation=__a							).input_ids[0]
    self.assertEqual(ids[-2]					,					2							)
    self.assertEqual(ids[-1]					,					__a							)
    self.assertEqual(len(__a							)					,					__a							)







   def 		lowerCamelCase_     (			self		:		Union[str, Any]							):





    """simple docstring"""


    self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]							)					,					[5_0004, 5_0001]							)







   def 		lowerCamelCase_     (			self		:		Tuple							):





    """simple docstring"""


    UpperCamelCase          =	tempfile.mkdtemp()
    UpperCamelCase          =	self.tokenizer.fairseq_tokens_to_ids
    self.tokenizer.save_pretrained(__a							)
    UpperCamelCase          =	PLBartTokenizer.from_pretrained(__a							)
    self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,					__a							)







   @require_torch
   def 		lowerCamelCase_     (			self		:		Dict							):





    """simple docstring"""


    UpperCamelCase          =	self.tokenizer(self.src_text					,					text_target=self.tgt_text					,					padding=__a					,					return_tensors="""pt"""							)
    UpperCamelCase          =	shift_tokens_right(batch["""labels"""]					,					self.tokenizer.pad_token_id							)

    # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
    self.assertEqual(batch.input_ids[1][-2:].tolist()					,					[2, PYTHON_CODE]							)
    self.assertEqual(batch.decoder_input_ids[1][0]					,					__a							)
    self.assertEqual(batch.decoder_input_ids[1][-1]					,					2							)
    self.assertEqual(batch.labels[1][-2:].tolist()					,					[2, EN_CODE]							)







   @require_torch
   def 		lowerCamelCase_     (			self		:		Optional[Any]							):





    """simple docstring"""


    UpperCamelCase          =	self.tokenizer(
        self.src_text					,					text_target=self.tgt_text					,					padding=__a					,					truncation=__a					,					max_length=len(self.expected_src_tokens							)					,					return_tensors="""pt"""					,					)
    UpperCamelCase          =	shift_tokens_right(batch["""labels"""]					,					self.tokenizer.pad_token_id							)

    self.assertIsInstance(__a					,					__a							)

    self.assertEqual((2, 26)					,					batch.input_ids.shape							)
    self.assertEqual((2, 26)					,					batch.attention_mask.shape							)
    UpperCamelCase          =	batch.input_ids.tolist()[0]
    self.assertListEqual(self.expected_src_tokens					,					__a							)
    self.assertEqual(2					,					batch.decoder_input_ids[0, -1]							)  # EOS
    # Test that special tokens are reset
    self.assertEqual(self.tokenizer.prefix_tokens					,					[]							)
    self.assertEqual(self.tokenizer.suffix_tokens					,					[self.tokenizer.eos_token_id, PYTHON_CODE]							)







   def 		lowerCamelCase_     (			self		:		Dict							):





    """simple docstring"""


    UpperCamelCase          =	self.tokenizer(self.src_text					,					padding=__a					,					truncation=__a					,					max_length=3					,					return_tensors="""pt"""							)
    UpperCamelCase          =	self.tokenizer(
        text_target=self.tgt_text					,					padding=__a					,					truncation=__a					,					max_length=10					,					return_tensors="""pt"""							)
    UpperCamelCase          =	targets["""input_ids"""]
    UpperCamelCase          =	shift_tokens_right(__a					,					self.tokenizer.pad_token_id							)

    self.assertEqual(batch.input_ids.shape[1]					,					3							)
    self.assertEqual(batch.decoder_input_ids.shape[1]					,					10							)







   @require_torch
   def 		lowerCamelCase_     (			self		:		List[str]							):





    """simple docstring"""


    UpperCamelCase          =	self.tokenizer._build_translation_inputs(
        """A test"""					,					return_tensors="""pt"""					,					src_lang="""en_XX"""					,					tgt_lang="""java"""							)

    self.assertEqual(
        nested_simplify(__a							)					,					{
            # A, test, EOS, en_XX
            """input_ids""": [[150, 242, 2, 5_0003]],
            """attention_mask""": [[1, 1, 1, 1]],
            # java
            """forced_bos_token_id""": 5_0001,
        }					,					)




"""simple docstring"""


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			False
			while is_sorted is False:  # Until all the indices are traversed keep looping
						__lowerCAmelCase				    =			True
						for i in range(0    , len(_UpperCamelCase      ) - 1    , 2      ):  # iterating over all even indices
									if input_list[i] > input_list[i + 1]:
												__lowerCAmelCase    ,	__lowerCAmelCase				    =			input_list[i + 1], input_list[i]
												# swapping if elements not in order
												__lowerCAmelCase				    =			False

						for i in range(1    , len(_UpperCamelCase      ) - 1    , 2      ):  # iterating over all odd indices
									if input_list[i] > input_list[i + 1]:
												__lowerCAmelCase    ,	__lowerCAmelCase				    =			input_list[i + 1], input_list[i]
												# swapping if elements not in order
												__lowerCAmelCase				    =			False
			return input_list


if __name__ == "__main__":
	print("Enter list to be sorted")
	A     :   Union[str, Any]			    =			[int(x) for x in input().split()]
	# inputing elements of the list in one line
	A     :   str			    =			odd_even_sort(input_list)
	print("The sorted list is")
	print(sorted_list)




