



'''simple docstring'''
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_					= get_tests_dir('fixtures/test_sentencepiece.model')


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

a_					= 1_2_8_0_2_2
a_					= 1_2_8_0_2_8






@require_sentencepiece
class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase	,				unittest.TestCase				):
 snake_case_  							=							MaMaaaTokenizer
 snake_case_  							=							False
 snake_case_  							=							False
 snake_case_  							=							True




 def      __magic_name__	(      self	:							Dict      )	->						Union[str, Any]:
       super().setUp()

       SCREAMING_SNAKE_CASE__     :				Dict									=['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
       SCREAMING_SNAKE_CASE__     :				Any									=dict(zip(__lowercase					,      range(len(__lowercase      )      )      )      )
       SCREAMING_SNAKE_CASE__     :				int									=Path(self.tmpdirname      )
       save_json(__lowercase					,      save_dir / VOCAB_FILES_NAMES['''vocab_file''']      )
       if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
             copyfile(__lowercase					,      save_dir / VOCAB_FILES_NAMES['''spm_file''']      )

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




 def      __magic_name__	(      self	:							Any					,      **__lowercase	:							Dict      )	->						int:
       return MaMaaaTokenizer.from_pretrained(self.tmpdirname					,      **__lowercase      )




 def      __magic_name__	(      self	:							Tuple					,      __lowercase	:							Any      )	->						Any:
       return (
           "This is a test",
           "This is a test",
       )




 def      __magic_name__	(      self	:							Optional[Any]      )	->						List[Any]:
       SCREAMING_SNAKE_CASE__     :				Tuple									='''</s>'''
       SCREAMING_SNAKE_CASE__     :				Any									=0

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




 def      __magic_name__	(      self	:							List[Any]      )	->						str:
       SCREAMING_SNAKE_CASE__     :				Dict									=self.get_tokenizer()
       SCREAMING_SNAKE_CASE__     :				List[Any]									=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(__lowercase      )					,      tokenizer.vocab_size + len(tokenizer.get_added_vocab()      )      )




 @unittest.skip('''Skip this test while all models are still to be uploaded.'''      )
 def      __magic_name__	(      self	:							List[Any]      )	->						Union[str, Any]:
       pass




 def      __magic_name__	(      self	:							Tuple      )	->						Optional[Any]:
       SCREAMING_SNAKE_CASE__     :				List[str]									=self.get_tokenizer()

       SCREAMING_SNAKE_CASE__     :				Tuple									=tokenizer.tokenize('''This is a test'''      )
       self.assertListEqual(__lowercase					,      ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']      )

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

       SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]      )
       self.assertListEqual(__lowercase					,      ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']      )

       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=tokenizer.convert_tokens_to_string(__lowercase      )
       self.assertEqual(__lowercase					,      '''This is a test'''      )




 @slow
 def      __magic_name__	(      self	:							str      )	->						List[Any]:
       # fmt: off
       SCREAMING_SNAKE_CASE__     :				str									={'''input_ids''': [[12_80_22, 11_01_08, 3_97, 11, 3_82_72, 22_47, 12_48_11, 2_85, 1_81_05, 15_86, 2_07, 7, 3_95_34, 44_28, 3_97, 10_19, 1_81_05, 15_86, 2_07, 7, 4_13_37, 1_67_86, 2_41, 7, 2_02_14, 17, 12_56_90, 1_03_98, 7, 4_43_78, 5_80_69, 6_83_42, 77_98, 73_43, 11, 2_99, 3_33_10, 4, 1_58, 3_73_50, 9_40_77, 45_69, 2_99, 3_33_10, 90, 4, 5_28_40, 2_90, 4, 3_12_70, 1_12, 2_99, 6_82, 4, 5_28_40, 3_99_53, 1_40_79, 1_93, 5_25_19, 9_08_94, 1_78_94, 12_06_97, 11, 4_04_45, 5_51, 17, 10_19, 5_25_19, 9_08_94, 1_77_56, 9_63, 11, 4_04_45, 4_80, 17, 97_92, 11_20, 51_73, 13_93, 62_40, 1_67_86, 2_41, 12_09_96, 28, 12_45, 13_93, 11_82_40, 1_11_23, 10_19, 9_36_12, 26_91, 1_06_18, 9_80_58, 12_04_09, 19_28, 2_79, 4, 4_06_83, 3_67, 1_78, 2_07, 10_19, 1_03, 10_31_21, 5_06, 6_52_96, 5, 2], [12_80_22, 2_12_17, 3_67, 1_17, 12_54_50, 1_28, 7_19, 7, 73_08, 40, 9_36_12, 1_26_69, 11_16, 1_67_04, 71, 1_77_85, 36_99, 1_55_92, 35, 1_44, 95_84, 2_41, 1_19_43, 7_13, 9_50, 7_99, 22_47, 8_84_27, 1_50, 1_49, 11_88_13, 12_07_06, 10_19, 10_69_06, 8_15_18, 28, 12_24, 2_27_99, 3_97, 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], [12_80_22, 16_58, 12_33_11, 51_55, 55_78, 47_22, 2_79, 1_49_47, 23_66, 11_20, 11_97, 14, 13_48, 92_32, 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=__lowercase					,      model_name='''facebook/m2m100_418M'''					,      revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''					,      )






@require_torch
@require_sentencepiece
@require_tokenizers
class      __SCREAMING_SNAKE_CASE      (			unittest.TestCase				):
 snake_case_  							=							"""facebook/m2m100_418M"""
 snake_case_  							=							[
     """In my opinion, there are two levels of response from the French government.""",
     """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
 ]
 snake_case_  							=							[
     """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
 snake_case_  							=							[EN_CODE, 593, 1949, 11_5781, 4, 7_1586, 4234, 6_0633, 12_6233, 432, 12_3808, 1_5592, 1197, 11_7132, 12_0618, 5, 2]




 @classmethod
 def      __magic_name__	(      cls	:							int      )	->						Optional[Any]:
       SCREAMING_SNAKE_CASE__     :				MaMaaaTokenizer									=MaMaaaTokenizer.from_pretrained(
           cls.checkpoint_name					,      src_lang='''en'''					,      tgt_lang='''fr'''      )
       SCREAMING_SNAKE_CASE__     :				Tuple									=1
       return cls




 def      __magic_name__	(      self	:							Tuple      )	->						Tuple:
       self.assertEqual(self.tokenizer.get_lang_id('''ar'''      )					,      12_80_06      )
       self.assertEqual(self.tokenizer.get_lang_id('''en'''      )					,      12_80_22      )
       self.assertEqual(self.tokenizer.get_lang_id('''ro'''      )					,      12_80_76      )
       self.assertEqual(self.tokenizer.get_lang_id('''mr'''      )					,      12_80_63      )




 def      __magic_name__	(      self	:							List[Any]      )	->						int:
       SCREAMING_SNAKE_CASE__     :				List[Any]									=self.tokenizer.get_vocab()
       self.assertEqual(len(__lowercase      )					,      self.tokenizer.vocab_size      )
       self.assertEqual(vocab['''<unk>''']					,      3      )
       self.assertIn(self.tokenizer.get_lang_token('''en'''      )					,      __lowercase      )




 def      __magic_name__	(      self	:							List[Any]      )	->						int:
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									='''en'''
       SCREAMING_SNAKE_CASE__     :				List[str]									=self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
       self.assertListEqual(self.expected_src_tokens					,      __lowercase      )




 def      __magic_name__	(      self	:							str      )	->						Dict:
       self.assertIn(__lowercase					,      self.tokenizer.all_special_ids      )
       # fmt: off
       SCREAMING_SNAKE_CASE__     :				Tuple									=[FR_CODE, 53_64, 82, 86_42, 4, 2_94, 47, 8, 1_40_28, 1_36, 32_86, 97_06, 6, 9_07_97, 6, 14_40_12, 1_62, 8_81_28, 3_00_61, 5, 2]
       # fmt: on
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=self.tokenizer.decode(__lowercase					,      skip_special_tokens=__lowercase      )
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=self.tokenizer.decode(generated_ids[1:]					,      skip_special_tokens=__lowercase      )
       self.assertEqual(__lowercase					,      __lowercase      )
       self.assertNotIn(self.tokenizer.eos_token					,      __lowercase      )




 def      __magic_name__	(      self	:							Optional[int]      )	->						Union[str, Any]:
       SCREAMING_SNAKE_CASE__     :				List[str]									=tempfile.mkdtemp()
       SCREAMING_SNAKE_CASE__     :				List[Any]									=self.tokenizer.lang_token_to_id
       self.tokenizer.save_pretrained(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				int									=MaMaaaTokenizer.from_pretrained(__lowercase      )
       self.assertDictEqual(new_tok.lang_token_to_id					,      __lowercase      )




 @require_torch
 def      __magic_name__	(      self	:							Union[str, Any]      )	->						Tuple:
       SCREAMING_SNAKE_CASE__     :				List[str]									='''en'''
       SCREAMING_SNAKE_CASE__     :				Tuple									='''fr'''

       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=self.tokenizer(self.src_text					,      text_target=self.tgt_text					,      padding=__lowercase					,      return_tensors='''pt'''      )

       SCREAMING_SNAKE_CASE__     :				Optional[int]									=shift_tokens_right(
           batch['''labels''']					,      self.tokenizer.pad_token_id					,      self.tokenizer.eos_token_id      )

       for k in batch:
             SCREAMING_SNAKE_CASE__     :				Dict									=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      __magic_name__	(      self	:							int      )	->						Optional[Any]:
       SCREAMING_SNAKE_CASE__     :				Tuple									='''mr'''
       self.assertListEqual(self.tokenizer.prefix_tokens					,      [self.tokenizer.get_lang_id('''mr'''      )]      )
       self.assertListEqual(self.tokenizer.suffix_tokens					,      [self.tokenizer.eos_token_id]      )

       SCREAMING_SNAKE_CASE__     :				int									='''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      __magic_name__	(      self	:							str      )	->						List[str]:
       SCREAMING_SNAKE_CASE__     :				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      )]      )

       SCREAMING_SNAKE_CASE__     :				Dict									='''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      __magic_name__	(      self	:							Dict      )	->						Tuple:
       SCREAMING_SNAKE_CASE__     :				int									=self.tokenizer._build_translation_inputs('''A test'''					,      return_tensors='''pt'''					,      src_lang='''en'''					,      tgt_lang='''ar'''      )

       self.assertEqual(
           nested_simplify(__lowercase      )					,      {
               # en_XX, A, test, EOS
               '''input_ids''': [[12_80_22, 58, 41_83, 2]],
               '''attention_mask''': [[1, 1, 1, 1]],
               # ar_AR
               '''forced_bos_token_id''': 12_80_06,
           }					,      )







'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_					= logging.get_logger(__name__)

a_					= {
    'bigcode/gpt_bigcode-santacoder': 'https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve/main/config.json',
}






class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase				):
 snake_case_  							=							"""gpt_bigcode"""
 snake_case_  							=							["""past_key_values"""]
 snake_case_  							=							{
     """hidden_size""": """n_embd""",
     """max_position_embeddings""": """n_positions""",
     """num_attention_heads""": """n_head""",
     """num_hidden_layers""": """n_layer""",
 }




 def __init__(      self	:							Any					,      __lowercase	:							Any=5_02_57					,      __lowercase	:							int=10_24					,      __lowercase	:							List[str]=7_68					,      __lowercase	:							Optional[int]=12					,      __lowercase	:							Dict=12					,      __lowercase	:							List[str]=None					,      __lowercase	:							int="gelu_pytorch_tanh"					,      __lowercase	:							Union[str, Any]=0.1					,      __lowercase	:							Optional[int]=0.1					,      __lowercase	:							Optional[int]=0.1					,      __lowercase	:							Optional[Any]=1e-5					,      __lowercase	:							List[str]=0.02					,      __lowercase	:							Tuple=True					,      __lowercase	:							Optional[Any]=True					,      __lowercase	:							Union[str, Any]=5_02_56					,      __lowercase	:							List[Any]=5_02_56					,      __lowercase	:							Union[str, Any]=True					,      __lowercase	:							List[str]=True					,      __lowercase	:							Dict=True					,      **__lowercase	:							List[Any]					,      )	->						Optional[int]:
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=vocab_size
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=n_positions
       SCREAMING_SNAKE_CASE__     :				Dict									=n_embd
       SCREAMING_SNAKE_CASE__     :				Dict									=n_layer
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=n_head
       SCREAMING_SNAKE_CASE__     :				List[str]									=n_inner
       SCREAMING_SNAKE_CASE__     :				List[str]									=activation_function
       SCREAMING_SNAKE_CASE__     :				List[Any]									=resid_pdrop
       SCREAMING_SNAKE_CASE__     :				List[Any]									=embd_pdrop
       SCREAMING_SNAKE_CASE__     :				List[str]									=attn_pdrop
       SCREAMING_SNAKE_CASE__     :				Dict									=layer_norm_epsilon
       SCREAMING_SNAKE_CASE__     :				List[str]									=initializer_range
       SCREAMING_SNAKE_CASE__     :				List[Any]									=scale_attn_weights
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=use_cache
       SCREAMING_SNAKE_CASE__     :				Dict									=attention_softmax_in_fpaa
       SCREAMING_SNAKE_CASE__     :				int									=scale_attention_softmax_in_fpaa
       SCREAMING_SNAKE_CASE__     :				Dict									=multi_query

       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=bos_token_id
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=eos_token_id

       super().__init__(bos_token_id=__lowercase					,      eos_token_id=__lowercase					,      **__lowercase      )