



import shutil
import tempfile
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE_:str 			=		get_tests_dir("""fixtures/test_sentencepiece.model""")

if is_torch_available():
     from transformers.models.mbart.modeling_mbart import shift_tokens_right

SCREAMING_SNAKE_CASE_:List[Any] 			=		250_004
SCREAMING_SNAKE_CASE_:str 			=		250_020






@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE__	(						A__					,		unittest.TestCase       ):




    '''simple docstring'''






    __lowerCamelCase     :					Union[str, Any]   = MBartaaTokenizer
    __lowerCamelCase     :					Any   = MBartaaTokenizerFast
    __lowerCamelCase     :					Dict   = True
    __lowerCamelCase     :					Any   = True






    def      _lowerCAmelCase   (			self						):
        super().setUp()

        # We have a SentencePiece fixture for testing
        A					:			Dict		=  MBartaaTokenizer(_UpperCamelCase,						src_lang="""en_XX""",						tgt_lang="""ro_RO""",						keep_accents=_UpperCamelCase						)
        tokenizer.save_pretrained(self.tmpdirname						)






    def      _lowerCAmelCase   (			self						):
        A					:			int		=  """<s>"""
        A					:			Optional[Any]		=  0

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






    def      _lowerCAmelCase   (			self						):
        A					:			List[Any]		=  list(self.get_tokenizer().get_vocab().keys()						)

        self.assertEqual(vocab_keys[0],						"""<s>"""						)
        self.assertEqual(vocab_keys[1],						"""<pad>"""						)
        self.assertEqual(vocab_keys[-1],						"""<mask>"""						)
        self.assertEqual(len(_UpperCamelCase						),						1054						)






    def      _lowerCAmelCase   (			self						):
        self.assertEqual(self.get_tokenizer().vocab_size,						1054						)






    def      _lowerCAmelCase   (			self						):
        A					:			Optional[int]		=  MBartaaTokenizer(_UpperCamelCase,						src_lang="""en_XX""",						tgt_lang="""ro_RO""",						keep_accents=_UpperCamelCase						)

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

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

        A					:			Optional[int]		=  tokenizer.tokenize("""I was born in 92000, and this is falsé."""						)
        self.assertListEqual(
            _UpperCamelCase,						[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""", """."""],						)
        A					:			Union[str, Any]		=  tokenizer.convert_tokens_to_ids(_UpperCamelCase						)
        self.assertListEqual(
            _UpperCamelCase,						[
                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]
            ],						)

        A					:			str		=  tokenizer.convert_ids_to_tokens(_UpperCamelCase						)
        self.assertListEqual(
            _UpperCamelCase,						[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>""", """."""],						)






    @slow
    def      _lowerCAmelCase   (			self						):
        # fmt: off
        A					:			Dict		=  {"""input_ids""": [[25_0004, 1_1062, 8_2772, 7, 15, 8_2772, 538, 5_1529, 237, 1_7198, 1290, 206, 9, 21_5175, 1314, 136, 1_7198, 1290, 206, 9, 5_6359, 42, 12_2009, 9, 1_6466, 16, 8_7344, 4537, 9, 4717, 7_8381, 6, 15_9958, 7, 15, 2_4480, 618, 4, 527, 2_2693, 5428, 4, 2777, 2_4480, 9874, 4, 4_3523, 594, 4, 803, 1_8392, 3_3189, 18, 4, 4_3523, 2_4447, 1_2399, 100, 2_4955, 8_3658, 9626, 14_4057, 15, 839, 2_2335, 16, 136, 2_4955, 8_3658, 8_3479, 15, 3_9102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 12_2009, 11_5774, 23, 805, 1328, 4_6876, 7, 136, 5_3894, 1940, 4_2227, 4_1159, 1_7721, 823, 425, 4, 2_7512, 9_8722, 206, 136, 5531, 4970, 919, 1_7336, 5, 2], [25_0004, 2_0080, 618, 83, 8_2775, 47, 479, 9, 1517, 73, 5_3894, 333, 8_0581, 11_0117, 1_8811, 5256, 1295, 51, 15_2526, 297, 7986, 390, 12_4416, 538, 3_5431, 214, 98, 1_5044, 2_5737, 136, 7108, 4_3701, 23, 756, 13_5355, 7, 5, 2, 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, 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], [25_0004, 581, 6_3773, 11_9455, 6, 14_7797, 8_8203, 7, 645, 70, 21, 3285, 1_0269, 5, 2, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], """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, 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, 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, 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, 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], [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, 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]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=_UpperCamelCase,						model_name="""facebook/mbart-large-50""",						revision="""d3913889c59cd5c9e456b269c376325eabad57e2""",						)






    def      _lowerCAmelCase   (			self						):
        if not self.test_slow_tokenizer:
            # as we don't have a slow version, we can't compare the outputs between slow and fast versions
            return

        A					:			Union[str, Any]		=  (self.rust_tokenizer_class, """hf-internal-testing/tiny-random-mbart50""", {})
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
                A					:			List[str]		=  self.rust_tokenizer_class.from_pretrained(_UpperCamelCase,						**_UpperCamelCase						)
                A					:			List[Any]		=  self.tokenizer_class.from_pretrained(_UpperCamelCase,						**_UpperCamelCase						)

                A					:			Dict		=  tempfile.mkdtemp()

                A					:			str		=  tokenizer_r.save_pretrained(_UpperCamelCase						)
                A					:			Dict		=  tokenizer_p.save_pretrained(_UpperCamelCase						)

                # Checks it save with the same files + the tokenizer.json file for the fast one
                self.assertTrue(any("""tokenizer.json""" in f for f in tokenizer_r_files						)						)
                A					:			Optional[int]		=  tuple(f for f in tokenizer_r_files if """tokenizer.json""" not in f						)
                self.assertSequenceEqual(_UpperCamelCase,						_UpperCamelCase						)

                # Checks everything loads correctly in the same way
                A					:			int		=  tokenizer_r.from_pretrained(_UpperCamelCase						)
                A					:			Any		=  tokenizer_p.from_pretrained(_UpperCamelCase						)

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                    self.assertTrue(hasattr(_UpperCamelCase,						_UpperCamelCase						)						)
                    # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                    # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                shutil.rmtree(_UpperCamelCase						)

                # Save tokenizer rust, legacy_format=True
                A					:			Dict		=  tempfile.mkdtemp()

                A					:			Any		=  tokenizer_r.save_pretrained(_UpperCamelCase,						legacy_format=_UpperCamelCase						)
                A					:			str		=  tokenizer_p.save_pretrained(_UpperCamelCase						)

                # Checks it save with the same files
                self.assertSequenceEqual(_UpperCamelCase,						_UpperCamelCase						)

                # Checks everything loads correctly in the same way
                A					:			List[str]		=  tokenizer_r.from_pretrained(_UpperCamelCase						)
                A					:			Tuple		=  tokenizer_p.from_pretrained(_UpperCamelCase						)

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                    self.assertTrue(hasattr(_UpperCamelCase,						_UpperCamelCase						)						)

                shutil.rmtree(_UpperCamelCase						)

                # Save tokenizer rust, legacy_format=False
                A					:			List[str]		=  tempfile.mkdtemp()

                A					:			Any		=  tokenizer_r.save_pretrained(_UpperCamelCase,						legacy_format=_UpperCamelCase						)
                A					:			Optional[Any]		=  tokenizer_p.save_pretrained(_UpperCamelCase						)

                # Checks it saved the tokenizer.json file
                self.assertTrue(any("""tokenizer.json""" in f for f in tokenizer_r_files						)						)

                # Checks everything loads correctly in the same way
                A					:			List[Any]		=  tokenizer_r.from_pretrained(_UpperCamelCase						)
                A					:			Optional[int]		=  tokenizer_p.from_pretrained(_UpperCamelCase						)

                # Check special tokens are set accordingly on Rust and Python
                for key in tokenizer_pp.special_tokens_map:
                    self.assertTrue(hasattr(_UpperCamelCase,						_UpperCamelCase						)						)

                shutil.rmtree(_UpperCamelCase						)






@require_torch
@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE__	(						unittest.TestCase       ):




    '''simple docstring'''






    __lowerCamelCase     :					Dict   = """facebook/mbart-large-50-one-to-many-mmt"""
    __lowerCamelCase     :					Optional[int]   = [
        """ UN Chief Says There Is No Military Solution in Syria""",
        """ Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.""",
    ]
    __lowerCamelCase     :					Optional[int]   = [
        """Şeful ONU declară că nu există o soluţie militară în Siria""",
        """Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"""
        """ pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"""
        """ face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.""",
    ]
    __lowerCamelCase     :					Any   = [EN_CODE, 8274, 12_7873, 2_5916, 7, 8622, 2071, 438, 6_7485, 53, 18_7895, 23, 5_1712, 2]






    @classmethod
    def      _lowerCAmelCase   (			cls						):
        A					:			str		=  MBartaaTokenizer.from_pretrained(
            cls.checkpoint_name,						src_lang="""en_XX""",						tgt_lang="""ro_RO"""						)
        A					:			int		=  1
        return cls






    def      _lowerCAmelCase   (			self						):
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ar_AR"""],						25_0001						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""en_EN"""],						25_0004						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ro_RO"""],						25_0020						)
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""mr_IN"""],						25_0038						)






    def      _lowerCAmelCase   (			self						):
        A					:			Optional[Any]		=  self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
        self.assertListEqual(self.expected_src_tokens,						_UpperCamelCase						)






    def      _lowerCAmelCase   (			self						):
        self.assertIn(_UpperCamelCase,						self.tokenizer.all_special_ids						)
        A					:			Optional[Any]		=  [RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
        A					:			str		=  self.tokenizer.decode(_UpperCamelCase,						skip_special_tokens=_UpperCamelCase						)
        A					:			List[Any]		=  self.tokenizer.decode(generated_ids[1:],						skip_special_tokens=_UpperCamelCase						)
        self.assertEqual(_UpperCamelCase,						_UpperCamelCase						)
        self.assertNotIn(self.tokenizer.eos_token,						_UpperCamelCase						)






    def      _lowerCAmelCase   (			self						):
        A					:			Optional[Any]		=  ["""this is gunna be a long sentence """ * 20]
        assert isinstance(src_text[0],						_UpperCamelCase						)
        A					:			Optional[int]		=  10
        A					:			str		=  self.tokenizer(_UpperCamelCase,						max_length=_UpperCamelCase,						truncation=_UpperCamelCase						).input_ids[0]
        self.assertEqual(ids[0],						_UpperCamelCase						)
        self.assertEqual(ids[-1],						2						)
        self.assertEqual(len(_UpperCamelCase						),						_UpperCamelCase						)






    def      _lowerCAmelCase   (			self						):
        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""]						),						[25_0053, 25_0001]						)






    def      _lowerCAmelCase   (			self						):
        A					:			int		=  tempfile.mkdtemp()
        A					:			List[Any]		=  self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(_UpperCamelCase						)
        A					:			List[Any]		=  MBartaaTokenizer.from_pretrained(_UpperCamelCase						)
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids,						_UpperCamelCase						)






    @require_torch
    def      _lowerCAmelCase   (			self						):
        A					:			Union[str, Any]		=  self.tokenizer(self.src_text,						text_target=self.tgt_text,						padding=_UpperCamelCase,						return_tensors="""pt"""						)
        A					:			Dict		=  shift_tokens_right(batch["""labels"""],						self.tokenizer.pad_token_id						)

        # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
        assert batch.input_ids[1][0] == EN_CODE
        assert batch.input_ids[1][-1] == 2
        assert batch.labels[1][0] == RO_CODE
        assert batch.labels[1][-1] == 2
        assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]






    @require_torch
    def      _lowerCAmelCase   (			self						):
        A					:			int		=  self.tokenizer(
            self.src_text,						text_target=self.tgt_text,						padding=_UpperCamelCase,						truncation=_UpperCamelCase,						max_length=len(self.expected_src_tokens						),						return_tensors="""pt""",						)
        A					:			Optional[int]		=  shift_tokens_right(batch["""labels"""],						self.tokenizer.pad_token_id						)

        self.assertIsInstance(_UpperCamelCase,						_UpperCamelCase						)

        self.assertEqual((2, 14),						batch.input_ids.shape						)
        self.assertEqual((2, 14),						batch.attention_mask.shape						)
        A					:			int		=  batch.input_ids.tolist()[0]
        self.assertListEqual(self.expected_src_tokens,						_UpperCamelCase						)
        self.assertEqual(2,						batch.decoder_input_ids[0, 0]						)  # decoder_start_token_id
        # Test that special tokens are reset
        self.assertEqual(self.tokenizer.prefix_tokens,						[EN_CODE]						)
        self.assertEqual(self.tokenizer.suffix_tokens,						[self.tokenizer.eos_token_id]						)






    def      _lowerCAmelCase   (			self						):
        A					:			Tuple		=  self.tokenizer(self.src_text,						padding=_UpperCamelCase,						truncation=_UpperCamelCase,						max_length=3,						return_tensors="""pt"""						)
        A					:			List[Any]		=  self.tokenizer(
            text_target=self.tgt_text,						padding=_UpperCamelCase,						truncation=_UpperCamelCase,						max_length=10,						return_tensors="""pt"""						)
        A					:			Dict		=  targets["""input_ids"""]
        A					:			List[Any]		=  shift_tokens_right(_UpperCamelCase,						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						):
        A					:			Tuple		=  self.tokenizer._build_translation_inputs(
            """A test""",						return_tensors="""pt""",						src_lang="""en_XX""",						tgt_lang="""ar_AR"""						)

        self.assertEqual(
            nested_simplify(_UpperCamelCase						),						{
                # en_XX, A, test, EOS
                """input_ids""": [[25_0004, 62, 3034, 2]],
                """attention_mask""": [[1, 1, 1, 1]],
                # ar_AR
                """forced_bos_token_id""": 25_0001,
            },						)









UpperCAmelCase_           =	{
    "A": ".-", "B": "-...", "C": "-.-.", "D": "-..", "E": ".", "F": "..-.", "G": "--.",
    "H": "....", "I": "..", "J": ".---", "K": "-.-", "L": ".-..", "M": "--", "N": "-.",
    "O": "---", "P": ".--.", "Q": "--.-", "R": ".-.", "S": "...", "T": "-", "U": "..-",
    "V": "...-", "W": ".--", "X": "-..-", "Y": "-.--", "Z": "--..", "1": ".----",
    "2": "..---", "3": "...--", "4": "....-", "5": ".....", "6": "-....", "7": "--...",
    "8": "---..", "9": "----.", "0": "-----", "&": ".-...", "@": ".--.-.",
    ":": "---...", ",": "--..--", ".": ".-.-.-", "'": ".----.", "\"": ".-..-.",
    "?": "..--..", "/": "-..-.", "=": "-...-", "+": ".-.-.", "-": "-....-",
    "(": "-.--.", ")": "-.--.-", "!": "-.-.--", " ": "/"
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
UpperCAmelCase_           =	{value: key for key, value in MORSE_CODE_DICT.items()}
def      A__       (    SCREAMING_SNAKE_CASE_   :      str						)  ->  str:






   """simple docstring"""







   return " ".join(MORSE_CODE_DICT[char] for char in message.upper()						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      str						)  ->  str:






   """simple docstring"""







   return "".join(REVERSE_DICT[char] for char in message.split()						)
def      A__       (    )  ->  None:






   """simple docstring"""







   _UpperCAmelCase           =   '''Morse code here!'''
   print(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   encrypt(SCREAMING_SNAKE_CASE_						)
   print(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   decrypt(SCREAMING_SNAKE_CASE_						)
   print(SCREAMING_SNAKE_CASE_						)


if __name__ == "__main__":
   main()