
"""simple docstring"""



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

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
 from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__          = get_tests_dir('fixtures/test_sentencepiece.model')

UpperCAmelCase__          = {'target_lang': 'fi', 'source_lang': 'en'}
UpperCAmelCase__          = '>>zh<<'
UpperCAmelCase__          = 'Helsinki-NLP/'

if is_torch_available():
 UpperCAmelCase__          = 'pt'
elif is_tf_available():
 UpperCAmelCase__          = 'tf'
else:
 UpperCAmelCase__          = 'jax'

@require_sentencepiece
class       lowerCAmelCase__				(						A_ ,	unittest.TestCase	):
     __a						=					MarianTokenizer
     __a						=					False
     __a						=					True







     def      lowercase	(							self			:			Optional[int]			):
       super().setUp()
       _snake_case					     =       ['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
       _snake_case					     =       dict(zip(_lowerCamelCase    ,      range(len(_lowerCamelCase			)			)			)			)
       _snake_case					     =       Path(self.tmpdirname			)
       save_json(_lowerCamelCase    ,      save_dir / VOCAB_FILES_NAMES['''vocab''']			)
       save_json(_lowerCamelCase    ,      save_dir / VOCAB_FILES_NAMES['''tokenizer_config_file''']			)
       if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
         copyfile(_lowerCamelCase    ,      save_dir / VOCAB_FILES_NAMES['''source_spm''']			)
         copyfile(_lowerCamelCase    ,      save_dir / VOCAB_FILES_NAMES['''target_spm''']			)

       _snake_case					     =       MarianTokenizer.from_pretrained(self.tmpdirname			)
       tokenizer.save_pretrained(self.tmpdirname			)







     def      lowercase	(							self			:			Optional[int]    ,      **_lowerCamelCase			:			Optional[int]			):
       return MarianTokenizer.from_pretrained(self.tmpdirname    ,      **_lowerCamelCase			)







     def      lowercase	(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			int			):
       return (
           "This is a test",
           "This is a test",
       )







     def      lowercase	(							self			:			Tuple			):
       _snake_case					     =       '''</s>'''
       _snake_case					     =       0

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







     def      lowercase	(							self			:			Optional[Any]			):
       _snake_case					     =       list(self.get_tokenizer().get_vocab().keys()			)

       self.assertEqual(vocab_keys[0]    ,      '''</s>'''			)
       self.assertEqual(vocab_keys[1]    ,      '''<unk>'''			)
       self.assertEqual(vocab_keys[-1]    ,      '''<pad>'''			)
       self.assertEqual(len(_lowerCamelCase			)    ,      9			)







     def      lowercase	(							self			:			List[Any]			):
       self.assertEqual(self.get_tokenizer().vocab_size    ,      9			)







     def      lowercase	(							self			:			List[str]			):
       _snake_case					     =       MarianTokenizer.from_pretrained(f'''{ORG_NAME}opus-mt-en-de'''			)
       _snake_case					     =       en_de_tokenizer(['''I am a small frog''']    ,      return_tensors=_lowerCamelCase			)
       self.assertIsInstance(_lowerCamelCase    ,      _lowerCamelCase			)
       _snake_case					     =       [38, 121, 14, 697, 38848, 0]
       self.assertListEqual(_lowerCamelCase    ,      batch.input_ids[0]			)

       _snake_case					     =       tempfile.mkdtemp()
       en_de_tokenizer.save_pretrained(_lowerCamelCase			)
       _snake_case					     =       [x.name for x in Path(_lowerCamelCase			).glob('''*'''			)]
       self.assertIn('''source.spm'''    ,      _lowerCamelCase			)
       MarianTokenizer.from_pretrained(_lowerCamelCase			)







     def      lowercase	(							self			:			Tuple			):
       _snake_case					     =       self.get_tokenizer()

       _snake_case					     =       tok(
           ['''I am a small frog''' * 1000, '''I am a small frog''']    ,      padding=_lowerCamelCase    ,      truncation=_lowerCamelCase    ,      return_tensors=_lowerCamelCase			)
       self.assertIsInstance(_lowerCamelCase    ,      _lowerCamelCase			)
       self.assertEqual(batch.input_ids.shape    ,      (2, 512)			)







     def      lowercase	(							self			:			Optional[int]			):
       _snake_case					     =       self.get_tokenizer()
       _snake_case					     =       tok(['''I am a tiny frog''', '''I am a small frog''']    ,      padding=_lowerCamelCase    ,      return_tensors=_lowerCamelCase			)
       self.assertIsInstance(_lowerCamelCase    ,      _lowerCamelCase			)
       self.assertEqual(batch_smaller.input_ids.shape    ,      (2, 10)			)







     @slow
     def      lowercase	(							self			:			List[str]			):
       # fmt: off
       _snake_case					     =       {'''input_ids''': [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], '''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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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='''Helsinki-NLP/opus-mt-en-de'''    ,      revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''    ,      decode_kwargs={'''use_source_tokenizer''': True}    ,      )







     def      lowercase	(							self			:			Optional[int]			):
       _snake_case					     =       MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''			)

       _snake_case					     =       '''Tämä on testi'''
       _snake_case					     =       '''This is a test'''

       _snake_case					     =       [76, 7, 2047, 2]
       _snake_case					     =       [69, 12, 11, 940, 2]

       _snake_case					     =       tokenizer(_lowerCamelCase			).input_ids
       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)

       _snake_case					     =       tokenizer(text_target=_lowerCamelCase			).input_ids
       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)

       _snake_case					     =       tokenizer.decode(_lowerCamelCase    ,      skip_special_tokens=_lowerCamelCase			)
       self.assertEqual(_lowerCamelCase    ,      _lowerCamelCase			)





"""simple docstring"""



import logging

from transformers.configuration_utils import PretrainedConfig


UpperCAmelCase__          = logging.getLogger(__name__)

class       lowerCAmelCase__				(						A_	):
     __a						=					"""masked_bert"""







     def __init__(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			Any=30522    ,      _lowerCamelCase			:			Union[str, Any]=768    ,      _lowerCamelCase			:			Tuple=12    ,      _lowerCamelCase			:			Any=12    ,      _lowerCamelCase			:			str=3072    ,      _lowerCamelCase			:			str="gelu"    ,      _lowerCamelCase			:			int=0.1    ,      _lowerCamelCase			:			Optional[int]=0.1    ,      _lowerCamelCase			:			Dict=512    ,      _lowerCamelCase			:			List[Any]=2    ,      _lowerCamelCase			:			int=0.0_2    ,      _lowerCamelCase			:			Union[str, Any]=1e-12    ,      _lowerCamelCase			:			Union[str, Any]=0    ,      _lowerCamelCase			:			List[str]="topK"    ,      _lowerCamelCase			:			Optional[Any]="constant"    ,      _lowerCamelCase			:			Optional[Any]=0.0    ,      **_lowerCamelCase			:			str    ,      ):
       super().__init__(pad_token_id=_lowerCamelCase    ,      **_lowerCamelCase			)

       _snake_case					     =       vocab_size
       _snake_case					     =       hidden_size
       _snake_case					     =       num_hidden_layers
       _snake_case					     =       num_attention_heads
       _snake_case					     =       hidden_act
       _snake_case					     =       intermediate_size
       _snake_case					     =       hidden_dropout_prob
       _snake_case					     =       attention_probs_dropout_prob
       _snake_case					     =       max_position_embeddings
       _snake_case					     =       type_vocab_size
       _snake_case					     =       initializer_range
       _snake_case					     =       layer_norm_eps
       _snake_case					     =       pruning_method
       _snake_case					     =       mask_init
       _snake_case					     =       mask_scale



