





'''simple docstring'''
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, 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


a__				:				Tuple					=get_tests_dir('''fixtures/test_sentencepiece.model''')


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

a__				:				Dict					=250_004
a__				:				List[Any]					=250_020

@require_sentencepiece
@require_tokenizers
class 	snake_case	(       __lowerCamelCase     ,			unittest.TestCase			):




 """simple docstring"""



 SCREAMING_SNAKE_CASE_      :   Dict     						=MBartTokenizer
 SCREAMING_SNAKE_CASE_      :   Tuple     						=MBartTokenizerFast
 SCREAMING_SNAKE_CASE_      :   Union[str, Any]     						=True
 SCREAMING_SNAKE_CASE_      :   Tuple     						=True






 def 			_lowerCamelCase   (			self			:				List[Any]      ):
        super().setUp()

        # We have a SentencePiece fixture for testing
        __UpperCamelCase			=    MBartTokenizer(lowerCAmelCase__				,      keep_accents=lowerCAmelCase__      )
        tokenizer.save_pretrained(self.tmpdirname      )






 def 			_lowerCamelCase   (			self			:				Any      ):
        __UpperCamelCase			=    MBartTokenizer(lowerCAmelCase__				,      keep_accents=lowerCAmelCase__      )

        __UpperCamelCase			=    tokenizer.tokenize('This is a test'      )
        self.assertListEqual(lowerCAmelCase__				,      ['▁This', '▁is', '▁a', '▁t', 'est']      )

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(lowerCAmelCase__      )				,      [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]				,      )

        __UpperCamelCase			=    tokenizer.tokenize('I was born in 92000, and this is falsé.'      )
        self.assertListEqual(
            lowerCAmelCase__				,      [
                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(lowerCAmelCase__      )
        self.assertListEqual(
            lowerCAmelCase__				,      [
                value + tokenizer.fairseq_offset
                for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
                #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
            ]				,      )

        __UpperCamelCase			=    tokenizer.convert_ids_to_tokens(lowerCAmelCase__      )
        self.assertListEqual(
            lowerCAmelCase__				,      [
                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>',
                '.',
            ]				,      )






 def 			_lowerCamelCase   (			self			:				Optional[int]      ):




        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

        __UpperCamelCase			=    (self.rust_tokenizer_class, 'hf-internal-testing/tiny-random-mbart', {})
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
                      __UpperCamelCase			=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__				,      **lowerCAmelCase__      )
                      __UpperCamelCase			=    self.tokenizer_class.from_pretrained(lowerCAmelCase__				,      **lowerCAmelCase__      )

                      __UpperCamelCase			=    tempfile.mkdtemp()

                      __UpperCamelCase			=    tokenizer_r.save_pretrained(lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.save_pretrained(lowerCAmelCase__      )

                      # 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      )      )
                      __UpperCamelCase			=    tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f      )
                      self.assertSequenceEqual(lowerCAmelCase__				,      lowerCAmelCase__      )

                      # Checks everything loads correctly in the same way
                      __UpperCamelCase			=    tokenizer_r.from_pretrained(lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.from_pretrained(lowerCAmelCase__      )

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

                      shutil.rmtree(lowerCAmelCase__      )

                      # Save tokenizer rust, legacy_format=True
                      __UpperCamelCase			=    tempfile.mkdtemp()

                      __UpperCamelCase			=    tokenizer_r.save_pretrained(lowerCAmelCase__				,      legacy_format=lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.save_pretrained(lowerCAmelCase__      )

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

                      # Checks everything loads correctly in the same way
                      __UpperCamelCase			=    tokenizer_r.from_pretrained(lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.from_pretrained(lowerCAmelCase__      )

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

                      shutil.rmtree(lowerCAmelCase__      )

                      # Save tokenizer rust, legacy_format=False
                      __UpperCamelCase			=    tempfile.mkdtemp()

                      __UpperCamelCase			=    tokenizer_r.save_pretrained(lowerCAmelCase__				,      legacy_format=lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.save_pretrained(lowerCAmelCase__      )

                      # 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
                      __UpperCamelCase			=    tokenizer_r.from_pretrained(lowerCAmelCase__      )
                      __UpperCamelCase			=    tokenizer_p.from_pretrained(lowerCAmelCase__      )

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

                      shutil.rmtree(lowerCAmelCase__      )






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




 """simple docstring"""



 SCREAMING_SNAKE_CASE_      :   Tuple     						='facebook/mbart-large-en-ro'
 SCREAMING_SNAKE_CASE_      :   List[Any]     						=[
     ' 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.',
 ]
 SCREAMING_SNAKE_CASE_      :   Any     						=[
     '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.',
 ]
 SCREAMING_SNAKE_CASE_      :   Any     						=[8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]






 @classmethod
 def 			_lowerCamelCase   (			cls			:				str      ):
        __UpperCamelCase			=    MBartTokenizer.from_pretrained(
            cls.checkpoint_name				,      src_lang='en_XX'				,      tgt_lang='ro_RO'      )
        __UpperCamelCase			=    1
        return cls






 def 			_lowerCamelCase   (			self			:				Any      ):
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']				,      2_5_0_0_0_1      )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']				,      2_5_0_0_0_4      )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']				,      2_5_0_0_2_0      )






 def 			_lowerCamelCase   (			self			:				Optional[Any]      ):
        __UpperCamelCase			=    self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
        self.assertListEqual(self.expected_src_tokens				,      lowerCAmelCase__      )






 def 			_lowerCamelCase   (			self			:				Union[str, Any]      ):
        self.assertIn(lowerCAmelCase__				,      self.tokenizer.all_special_ids      )
        __UpperCamelCase			=    [RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
        __UpperCamelCase			=    self.tokenizer.decode(lowerCAmelCase__				,      skip_special_tokens=lowerCAmelCase__      )
        __UpperCamelCase			=    self.tokenizer.decode(generated_ids[1:]				,      skip_special_tokens=lowerCAmelCase__      )
        self.assertEqual(lowerCAmelCase__				,      lowerCAmelCase__      )
        self.assertNotIn(self.tokenizer.eos_token				,      lowerCAmelCase__      )






 def 			_lowerCamelCase   (			self			:				Dict      ):
        __UpperCamelCase			=    ['this is gunna be a long sentence ' * 2_0]
        assert isinstance(src_text[0]				,      lowerCAmelCase__      )
        __UpperCamelCase			=    1_0
        __UpperCamelCase			=    self.tokenizer(lowerCAmelCase__				,      max_length=lowerCAmelCase__				,      truncation=lowerCAmelCase__      ).input_ids[0]
        self.assertEqual(ids[-2]				,      2      )
        self.assertEqual(ids[-1]				,      lowerCAmelCase__      )
        self.assertEqual(len(lowerCAmelCase__      )				,      lowerCAmelCase__      )






 def 			_lowerCamelCase   (			self			:				Dict      ):
        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']      )				,      [2_5_0_0_2_6, 2_5_0_0_0_1]      )






 def 			_lowerCamelCase   (			self			:				int      ):
        __UpperCamelCase			=    tempfile.mkdtemp()
        __UpperCamelCase			=    self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(lowerCAmelCase__      )
        __UpperCamelCase			=    MBartTokenizer.from_pretrained(lowerCAmelCase__      )
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,      lowerCAmelCase__      )






 @require_torch
 def 			_lowerCamelCase   (			self			:				int      ):
        __UpperCamelCase			=    self.tokenizer(self.src_text				,      text_target=self.tgt_text				,      padding=lowerCAmelCase__				,      return_tensors='pt'      )
        __UpperCamelCase			=    shift_tokens_right(batch['labels']				,      self.tokenizer.pad_token_id      )

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






 @require_torch
 def 			_lowerCamelCase   (			self			:				Tuple      ):
        __UpperCamelCase			=    self.tokenizer(
            self.src_text				,      text_target=self.tgt_text				,      padding=lowerCAmelCase__				,      truncation=lowerCAmelCase__				,      max_length=len(self.expected_src_tokens      )				,      return_tensors='pt'				,      )

        __UpperCamelCase			=    shift_tokens_right(batch['labels']				,      self.tokenizer.pad_token_id      )

        self.assertIsInstance(lowerCAmelCase__				,      lowerCAmelCase__      )

        self.assertEqual((2, 1_4)				,      batch.input_ids.shape      )
        self.assertEqual((2, 1_4)				,      batch.attention_mask.shape      )
        __UpperCamelCase			=    batch.input_ids.tolist()[0]
        self.assertListEqual(self.expected_src_tokens				,      lowerCAmelCase__      )
        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, EN_CODE]      )






 def 			_lowerCamelCase   (			self			:				Dict      ):
        __UpperCamelCase			=    self.tokenizer(self.src_text				,      padding=lowerCAmelCase__				,      truncation=lowerCAmelCase__				,      max_length=3				,      return_tensors='pt'      )
        __UpperCamelCase			=    self.tokenizer(
            text_target=self.tgt_text				,      padding=lowerCAmelCase__				,      truncation=lowerCAmelCase__				,      max_length=1_0				,      return_tensors='pt'      )
        __UpperCamelCase			=    targets['input_ids']
        __UpperCamelCase			=    shift_tokens_right(lowerCAmelCase__				,      self.tokenizer.pad_token_id      )

        self.assertEqual(batch.input_ids.shape[1]				,      3      )
        self.assertEqual(batch.decoder_input_ids.shape[1]				,      1_0      )






 @require_torch
 def 			_lowerCamelCase   (			self			:				str      ):
        __UpperCamelCase			=    self.tokenizer._build_translation_inputs(
            'A test'				,      return_tensors='pt'				,      src_lang='en_XX'				,      tgt_lang='ar_AR'      )

        self.assertEqual(
            nested_simplify(lowerCAmelCase__      )				,      {
                # A, test, EOS, en_XX
                'input_ids': [[6_2, 3_0_3_4, 2, 2_5_0_0_0_4]],
                'attention_mask': [[1, 1, 1, 1]],
                # ar_AR
                'forced_bos_token_id': 2_5_0_0_0_1,
            }				,      )







'''simple docstring'''

import jax.numpy as jnp

from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig


lowercase__		:     int			=							logging.get_logger(__name__)

lowercase__		:     Any			=							'T5Config'







def    a__							(							lowercase   :	jnp.array,   lowercase   :	int,   lowercase   :	int )						->						jnp.ndarray:





     """simple docstring"""

     _UpperCamelCase							       =			jnp.zeros_like(lowercase )
     _UpperCamelCase							       =			shifted_input_ids.at[:, 1:].set(input_ids[:, :-1] )
     _UpperCamelCase							       =			shifted_input_ids.at[:, 0].set(lowercase )

     _UpperCamelCase							       =			jnp.where(shifted_input_ids == -100,   lowercase,   lowercase )
     return shifted_input_ids
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Optional[Any]									=       'mt5'
       _snake_case      :	Union[str, Any]									=       MTaConfig

class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Tuple									=       'mt5'
       _snake_case      :	int									=       MTaConfig

class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Optional[int]									=       'mt5'
       _snake_case      :	Optional[Any]									=       MTaConfig



