


import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
    from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
    A      :    Optional[int]		=					get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
    from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

A      :    Optional[int]		=					128022
A      :    List[Any]		=					128028







@require_sentencepiece
class 			_lowercase (							lowercase__							,  unittest.TestCase):


       """simple docstring"""




       A__											=			MaMaaaTokenizer
       A__											=			False
       A__											=			False
       A__											=			True





       def 						lowerCAmelCase     (   self							:			str       ):


             '''simple docstring'''



             super().setUp()

             lowerCamelCase__		:				Tuple    =  ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
             lowerCamelCase__		:				Union[str, Any]    =  dict(zip(__lowerCamelCase					,      range(len(__lowerCamelCase       )       )       )       )
             lowerCamelCase__		:				Optional[Any]    =  Path(self.tmpdirname       )
             save_json(__lowerCamelCase					,      save_dir / VOCAB_FILES_NAMES["vocab_file"]       )
             if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
                   copyfile(__lowerCamelCase					,      save_dir / VOCAB_FILES_NAMES["spm_file"]       )

             lowerCamelCase__		:				List[str]    =  MaMaaaTokenizer.from_pretrained(self.tmpdirname       )
             tokenizer.save_pretrained(self.tmpdirname       )





       def 						lowerCAmelCase     (   self							:			List[Any]					,      **__lowerCamelCase							:			Optional[Any]       ):


             '''simple docstring'''



             return MaMaaaTokenizer.from_pretrained(self.tmpdirname					,      **__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[Any]					,      __lowerCamelCase							:			Any       ):


             '''simple docstring'''



             return (
                 "This is a test",
                 "This is a test",
             )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  "</s>"
             lowerCamelCase__		:				List[Any]    =  0

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





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  self.get_tokenizer()
             lowerCamelCase__		:				List[str]    =  list(tokenizer.get_vocab().keys()       )

             self.assertEqual(vocab_keys[0]					,      "</s>"       )
             self.assertEqual(vocab_keys[1]					,      "<unk>"       )
             self.assertEqual(vocab_keys[-1]					,      "<s>"       )
             self.assertEqual(len(__lowerCamelCase       )					,      tokenizer.vocab_size + len(tokenizer.get_added_vocab()       )       )





       @unittest.skip("Skip this test while all models are still to be uploaded."       )
       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             pass





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Any    =  self.get_tokenizer()

             lowerCamelCase__		:				List[Any]    =  tokenizer.tokenize("This is a test"       )
             self.assertListEqual(__lowerCamelCase					,      ["▁This", "▁is", "▁a", "▁t", "est"]       )

             self.assertListEqual(
                 tokenizer.convert_tokens_to_ids(__lowerCamelCase       )					,      [2, 3, 4, 5, 6]					,      )

             lowerCamelCase__		:				Union[str, Any]    =  tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]       )
             self.assertListEqual(__lowerCamelCase					,      ["▁This", "▁is", "▁a", "▁t", "est"]       )

             lowerCamelCase__		:				Optional[Any]    =  tokenizer.convert_tokens_to_string(__lowerCamelCase       )
             self.assertEqual(__lowerCamelCase					,      "This is a test"       )





       @slow
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  {"input_ids": [[128022, 110108, 397, 11, 38272, 2247, 124811, 285, 18105, 1586, 207, 7, 39534, 4428, 397, 1019, 18105, 1586, 207, 7, 41337, 16786, 241, 7, 20214, 17, 125690, 10398, 7, 44378, 58069, 68342, 7798, 7343, 11, 299, 33310, 4, 158, 37350, 94077, 4569, 299, 33310, 90, 4, 52840, 290, 4, 31270, 112, 299, 682, 4, 52840, 39953, 14079, 193, 52519, 90894, 17894, 120697, 11, 40445, 551, 17, 1019, 52519, 90894, 17756, 963, 11, 40445, 480, 17, 9792, 1120, 5173, 1393, 6240, 16786, 241, 120996, 28, 1245, 1393, 118240, 11123, 1019, 93612, 2691, 10618, 98058, 120409, 1928, 279, 4, 40683, 367, 178, 207, 1019, 103, 103121, 506, 65296, 5, 2], [128022, 21217, 367, 117, 125450, 128, 719, 7, 7308, 40, 93612, 12669, 1116, 16704, 71, 17785, 3699, 15592, 35, 144, 9584, 241, 11943, 713, 950, 799, 2247, 88427, 150, 149, 118813, 120706, 1019, 106906, 81518, 28, 1224, 22799, 397, 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], [128022, 1658, 123311, 5155, 5578, 4722, 279, 14947, 2366, 1120, 1197, 14, 1348, 9232, 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, 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, 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], [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, 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=__lowerCamelCase					,      model_name="facebook/m2m100_418M"					,      revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"					,      )







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


       """simple docstring"""




       A__											=			"facebook/m2m100_418M"
       A__											=			[
           "In my opinion, there are two levels of response from the French government.",
           "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
       ]
       A__											=			[
           "Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.",
           "L'affaire NSA souligne l'absence totale de débat sur le renseignement",
       ]

       # fmt: off
       A__											=			[EN_CODE, 5_93, 19_49, 11_57_81, 4, 7_15_86, 42_34, 6_06_33, 12_62_33, 4_32, 12_38_08, 1_55_92, 11_97, 11_71_32, 12_06_18, 5, 2]





       @classmethod
       def 						lowerCAmelCase     (   cls							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				MaMaaaTokenizer    =  MaMaaaTokenizer.from_pretrained(
                 cls.checkpoint_name					,      src_lang="en"					,      tgt_lang="fr"       )
             lowerCamelCase__		:				Optional[Any]    =  1
             return cls





       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             self.assertEqual(self.tokenizer.get_lang_id("ar"       )					,      128006       )
             self.assertEqual(self.tokenizer.get_lang_id("en"       )					,      128022       )
             self.assertEqual(self.tokenizer.get_lang_id("ro"       )					,      128076       )
             self.assertEqual(self.tokenizer.get_lang_id("mr"       )					,      128063       )





       def 						lowerCAmelCase     (   self							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  self.tokenizer.get_vocab()
             self.assertEqual(len(__lowerCamelCase       )					,      self.tokenizer.vocab_size       )
             self.assertEqual(vocab["<unk>"]					,      3       )
             self.assertIn(self.tokenizer.get_lang_token("en"       )					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  "en"
             lowerCamelCase__		:				int    =  self.tokenizer.batch_encode_plus(self.src_text       ).input_ids[0]
             self.assertListEqual(self.expected_src_tokens					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             self.assertIn(__lowerCamelCase					,      self.tokenizer.all_special_ids       )
             # fmt: off
             lowerCamelCase__		:				List[str]    =  [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
             # fmt: on
             lowerCamelCase__		:				str    =  self.tokenizer.decode(__lowerCamelCase					,      skip_special_tokens=__lowerCamelCase       )
             lowerCamelCase__		:				Union[str, Any]    =  self.tokenizer.decode(generated_ids[1:]					,      skip_special_tokens=__lowerCamelCase       )
             self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )
             self.assertNotIn(self.tokenizer.eos_token					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  tempfile.mkdtemp()
             lowerCamelCase__		:				List[str]    =  self.tokenizer.lang_token_to_id
             self.tokenizer.save_pretrained(__lowerCamelCase       )
             lowerCamelCase__		:				Any    =  MaMaaaTokenizer.from_pretrained(__lowerCamelCase       )
             self.assertDictEqual(new_tok.lang_token_to_id					,      __lowerCamelCase       )





       @require_torch
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  "en"
             lowerCamelCase__		:				Optional[Any]    =  "fr"

             lowerCamelCase__		:				int    =  self.tokenizer(self.src_text					,      text_target=self.tgt_text					,      padding=__lowerCamelCase					,      return_tensors="pt"       )

             lowerCamelCase__		:				Any    =  shift_tokens_right(
                 batch["labels"]					,      self.tokenizer.pad_token_id					,      self.tokenizer.eos_token_id       )

             for k in batch:
                   lowerCamelCase__		:				List[Any]    =  batch[k].tolist()
             # batch = {k: v.tolist() for k,v in batch.items()}
             # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
             # batch.decoder_inputs_ids[0][0] ==
             assert batch.input_ids[1][0] == EN_CODE
             assert batch.input_ids[1][-1] == 2
             assert batch.labels[1][0] == FR_CODE
             assert batch.labels[1][-1] == 2
             assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]





       @require_torch
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  "mr"
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id("mr"       )]       )
             self.assertListEqual(self.tokenizer.suffix_tokens					,      [self.tokenizer.eos_token_id]       )

             lowerCamelCase__		:				str    =  "zh"
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id("zh"       )]       )
             self.assertListEqual(self.tokenizer.suffix_tokens					,      [self.tokenizer.eos_token_id]       )





       @require_torch
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  "mr"
             self.tokenizer._switch_to_target_mode()
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id("mr"       )]       )
             self.assertListEqual(self.tokenizer.suffix_tokens					,      [self.tokenizer.eos_token_id]       )
             self.tokenizer._switch_to_input_mode()
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id(self.tokenizer.src_lang       )]       )

             lowerCamelCase__		:				List[str]    =  "zh"
             self.tokenizer._switch_to_target_mode()
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id("zh"       )]       )
             self.assertListEqual(self.tokenizer.suffix_tokens					,      [self.tokenizer.eos_token_id]       )
             self.tokenizer._switch_to_input_mode()
             self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id(self.tokenizer.src_lang       )]       )





       @require_torch
       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Dict    =  self.tokenizer._build_translation_inputs("A test"					,      return_tensors="pt"					,      src_lang="en"					,      tgt_lang="ar"       )

             self.assertEqual(
                 nested_simplify(__lowerCamelCase       )					,      {
                     # en_XX, A, test, EOS
                     "input_ids": [[128022, 58, 4183, 2]],
                     "attention_mask": [[1, 1, 1, 1]],
                     # ar_AR
                     "forced_bos_token_id": 128006,
                 }					,      )






from ...configuration_utils import PretrainedConfig
from ...utils import logging


A      :    str		=					logging.get_logger(__name__)

A      :    int		=					{
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			"mgp-str"





       def __init__(   self							:			List[str]					,      __lowerCamelCase							:			List[Any]=[32, 128]					,      __lowerCamelCase							:			Optional[int]=4					,      __lowerCamelCase							:			str=3					,      __lowerCamelCase							:			Optional[Any]=27					,      __lowerCamelCase							:			List[str]=38					,      __lowerCamelCase							:			Dict=50257					,      __lowerCamelCase							:			List[Any]=30522					,      __lowerCamelCase							:			Optional[Any]=768					,      __lowerCamelCase							:			str=12					,      __lowerCamelCase							:			Optional[int]=12					,      __lowerCamelCase							:			List[str]=4.0					,      __lowerCamelCase							:			Union[str, Any]=True					,      __lowerCamelCase							:			Any=False					,      __lowerCamelCase							:			Dict=1E-5					,      __lowerCamelCase							:			int=0.0					,      __lowerCamelCase							:			Optional[int]=0.0					,      __lowerCamelCase							:			List[Any]=0.0					,      __lowerCamelCase							:			Union[str, Any]=False					,      __lowerCamelCase							:			str=0.0_2					,      **__lowerCamelCase							:			Dict					,      ):


             '''simple docstring'''



             super().__init__(**__lowerCamelCase       )

             lowerCamelCase__		:				int    =  image_size
             lowerCamelCase__		:				Union[str, Any]    =  patch_size
             lowerCamelCase__		:				Dict    =  num_channels
             lowerCamelCase__		:				Union[str, Any]    =  max_token_length
             lowerCamelCase__		:				Optional[int]    =  num_character_labels
             lowerCamelCase__		:				Union[str, Any]    =  num_bpe_labels
             lowerCamelCase__		:				Optional[int]    =  num_wordpiece_labels
             lowerCamelCase__		:				List[str]    =  hidden_size
             lowerCamelCase__		:				Dict    =  num_hidden_layers
             lowerCamelCase__		:				Any    =  num_attention_heads
             lowerCamelCase__		:				Any    =  mlp_ratio
             lowerCamelCase__		:				List[Any]    =  distilled
             lowerCamelCase__		:				Optional[Any]    =  layer_norm_eps
             lowerCamelCase__		:				Union[str, Any]    =  drop_rate
             lowerCamelCase__		:				List[Any]    =  qkv_bias
             lowerCamelCase__		:				int    =  attn_drop_rate
             lowerCamelCase__		:				List[Any]    =  drop_path_rate
             lowerCamelCase__		:				List[str]    =  output_aa_attentions
             lowerCamelCase__		:				Dict    =  initializer_range


