

"""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


__UpperCamelCase    : List[Any]				 =						get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__UpperCamelCase    : Tuple				 =						2_5_0_0_0_4
__UpperCamelCase    : Optional[int]				 =						2_5_0_0_2_0







@require_sentencepiece
@require_tokenizers
class 							SCREAMING_SNAKE_CASE   (						a_       ,				unittest.TestCase			):






					"""simple docstring"""



					lowercase__												=			MBartTokenizer
					lowercase__												=			MBartTokenizerFast
					lowercase__												=			True
					lowercase__												=			True







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]						):
						super().setUp()

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







					def 			__lowerCAmelCase					(			self     :							str						):
						lowerCAmelCase__      :		List[str]    							=      MBartTokenizer(lowercase_  ,keep_accents=lowercase_						)

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

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

						lowerCAmelCase__      :		str    							=      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''						)
						self.assertListEqual(
						    lowercase_  ,[
						        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''',
						        '''.''',
						    ]  ,)
						lowerCAmelCase__      :		Tuple    							=      tokenizer.convert_tokens_to_ids(lowercase_						)
						self.assertListEqual(
						    lowercase_  ,[
						        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 ^
						    ]  ,)

						lowerCAmelCase__      :		Union[str, Any]    							=      tokenizer.convert_ids_to_tokens(lowercase_						)
						self.assertListEqual(
						    lowercase_  ,[
						        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     :							str						):
						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

						lowerCAmelCase__      :		str    							=      (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})'						):
								lowerCAmelCase__      :		List[str]    							=      self.rust_tokenizer_class.from_pretrained(lowercase_  ,**lowercase_						)
								lowerCAmelCase__      :		Any    							=      self.tokenizer_class.from_pretrained(lowercase_  ,**lowercase_						)

								lowerCAmelCase__      :		Union[str, Any]    							=      tempfile.mkdtemp()

								lowerCAmelCase__      :		List[str]    							=      tokenizer_r.save_pretrained(lowercase_						)
								lowerCAmelCase__      :		Union[str, Any]    							=      tokenizer_p.save_pretrained(lowercase_						)

								# 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						)						)
								lowerCAmelCase__      :		Optional[Any]    							=      tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f						)
								self.assertSequenceEqual(lowercase_  ,lowercase_						)

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

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

								shutil.rmtree(lowercase_						)

								# Save tokenizer rust, legacy_format=True
								lowerCAmelCase__      :		Tuple    							=      tempfile.mkdtemp()

								lowerCAmelCase__      :		str    							=      tokenizer_r.save_pretrained(lowercase_  ,legacy_format=lowercase_						)
								lowerCAmelCase__      :		List[str]    							=      tokenizer_p.save_pretrained(lowercase_						)

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

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

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

								shutil.rmtree(lowercase_						)

								# Save tokenizer rust, legacy_format=False
								lowerCAmelCase__      :		str    							=      tempfile.mkdtemp()

								lowerCAmelCase__      :		Tuple    							=      tokenizer_r.save_pretrained(lowercase_  ,legacy_format=lowercase_						)
								lowerCAmelCase__      :		Optional[Any]    							=      tokenizer_p.save_pretrained(lowercase_						)

								# 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
								lowerCAmelCase__      :		Any    							=      tokenizer_r.from_pretrained(lowercase_						)
								lowerCAmelCase__      :		int    							=      tokenizer_p.from_pretrained(lowercase_						)

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

								shutil.rmtree(lowercase_						)







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






					"""simple docstring"""



					lowercase__												=			"facebook/mbart-large-en-ro"
					lowercase__												=			[
					    " 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.",
					]
					lowercase__												=			[
					    "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.",
					]
					lowercase__												=			[8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Union[str, Any]						):
						lowerCAmelCase__      :		MBartTokenizer    							=      MBartTokenizer.from_pretrained(
						    cls.checkpoint_name  ,src_lang='''en_XX'''  ,tgt_lang='''ro_RO'''						)
						lowerCAmelCase__      :		Tuple    							=      1
						return cls







					def 			__lowerCAmelCase					(			self     :							Dict						):
						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     :							Dict						):
						lowerCAmelCase__      :		List[str]    							=      self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
						self.assertListEqual(self.expected_src_tokens  ,lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Dict						):
						self.assertIn(lowercase_  ,self.tokenizer.all_special_ids						)
						lowerCAmelCase__      :		Dict    							=      [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]
						lowerCAmelCase__      :		Optional[int]    							=      self.tokenizer.decode(lowercase_  ,skip_special_tokens=lowercase_						)
						lowerCAmelCase__      :		int    							=      self.tokenizer.decode(generated_ids[1:]  ,skip_special_tokens=lowercase_						)
						self.assertEqual(lowercase_  ,lowercase_						)
						self.assertNotIn(self.tokenizer.eos_token  ,lowercase_						)







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







					def 			__lowerCAmelCase					(			self     :							Optional[int]						):
						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     :							Optional[int]						):
						lowerCAmelCase__      :		int    							=      tempfile.mkdtemp()
						lowerCAmelCase__      :		str    							=      self.tokenizer.fairseq_tokens_to_ids
						self.tokenizer.save_pretrained(lowercase_						)
						lowerCAmelCase__      :		Any    							=      MBartTokenizer.from_pretrained(lowercase_						)
						self.assertDictEqual(new_tok.fairseq_tokens_to_ids  ,lowercase_						)







					@require_torch
					def 			__lowerCAmelCase					(			self     :							str						):
						lowerCAmelCase__      :		List[Any]    							=      self.tokenizer(self.src_text  ,text_target=self.tgt_text  ,padding=lowercase_  ,return_tensors='''pt'''						)
						lowerCAmelCase__      :		Union[str, Any]    							=      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     :							str						):
						lowerCAmelCase__      :		Tuple    							=      self.tokenizer(
						    self.src_text  ,text_target=self.tgt_text  ,padding=lowercase_  ,truncation=lowercase_  ,max_length=len(self.expected_src_tokens						)  ,return_tensors='''pt'''  ,)

						lowerCAmelCase__      :		List[str]    							=      shift_tokens_right(batch['''labels''']  ,self.tokenizer.pad_token_id						)

						self.assertIsInstance(lowercase_  ,lowercase_						)

						self.assertEqual((2, 1_4)  ,batch.input_ids.shape						)
						self.assertEqual((2, 1_4)  ,batch.attention_mask.shape						)
						lowerCAmelCase__      :		Optional[int]    							=      batch.input_ids.tolist()[0]
						self.assertListEqual(self.expected_src_tokens  ,lowercase_						)
						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     :							List[str]						):
						lowerCAmelCase__      :		Tuple    							=      self.tokenizer(self.src_text  ,padding=lowercase_  ,truncation=lowercase_  ,max_length=3  ,return_tensors='''pt'''						)
						lowerCAmelCase__      :		Any    							=      self.tokenizer(
						    text_target=self.tgt_text  ,padding=lowercase_  ,truncation=lowercase_  ,max_length=1_0  ,return_tensors='''pt'''						)
						lowerCAmelCase__      :		Optional[Any]    							=      targets['''input_ids''']
						lowerCAmelCase__      :		List[str]    							=      shift_tokens_right(lowercase_  ,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     :							Any						):
						lowerCAmelCase__      :		List[str]    							=      self.tokenizer._build_translation_inputs(
						    '''A test'''  ,return_tensors='''pt'''  ,src_lang='''en_XX'''  ,tgt_lang='''ar_AR'''						)

						self.assertEqual(
						    nested_simplify(lowercase_						)  ,{
						        # 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"""





from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


__UpperCamelCase    : List[Any]				 =						logging.get_logger(__name__)

__UpperCamelCase    : Any				 =						{
    '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/config.json''',
    '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/config.json''',
    '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/config.json''',
    '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/config.json''',
    '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/config.json''',
}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"t5"
					lowercase__												=			["past_key_values"]
					lowercase__												=			{"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}







					def __init__(			self     :							Tuple  ,lowercase_     :							Tuple=3_2_1_2_8  ,lowercase_     :							Union[str, Any]=5_1_2  ,lowercase_     :							Dict=6_4  ,lowercase_     :							Any=2_0_4_8  ,lowercase_     :							Dict=6  ,lowercase_     :							Dict=None  ,lowercase_     :							Dict=8  ,lowercase_     :							Optional[int]=3_2  ,lowercase_     :							List[Any]=1_2_8  ,lowercase_     :							Any=0.1  ,lowercase_     :							Optional[Any]=1E-6  ,lowercase_     :							Any=1.0  ,lowercase_     :							Dict="relu"  ,lowercase_     :							Tuple=True  ,lowercase_     :							List[Any]=True  ,lowercase_     :							Tuple=0  ,lowercase_     :							Optional[Any]=1  ,**lowercase_     :							Any  ,):
						lowerCAmelCase__      :		Tuple    							=      vocab_size
						lowerCAmelCase__      :		List[str]    							=      d_model
						lowerCAmelCase__      :		Union[str, Any]    							=      d_kv
						lowerCAmelCase__      :		List[Any]    							=      d_ff
						lowerCAmelCase__      :		int    							=      num_layers
						lowerCAmelCase__      :		Union[str, Any]    							=      (
						    num_decoder_layers if num_decoder_layers is not None else self.num_layers
						)  # default = symmetry
						lowerCAmelCase__      :		Any    							=      num_heads
						lowerCAmelCase__      :		Optional[int]    							=      relative_attention_num_buckets
						lowerCAmelCase__      :		Union[str, Any]    							=      relative_attention_max_distance
						lowerCAmelCase__      :		List[Any]    							=      dropout_rate
						lowerCAmelCase__      :		str    							=      layer_norm_epsilon
						lowerCAmelCase__      :		int    							=      initializer_factor
						lowerCAmelCase__      :		Dict    							=      feed_forward_proj
						lowerCAmelCase__      :		int    							=      use_cache

						lowerCAmelCase__      :		int    							=      self.feed_forward_proj.split('''-'''						)
						lowerCAmelCase__      :		str    							=      act_info[-1]
						lowerCAmelCase__      :		Tuple    							=      act_info[0] == '''gated'''

						if len(lowercase_						) > 1 and act_info[0] != "gated" or len(lowercase_						) > 2:
							raise ValueError(
							    F'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
							    '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
							    '''\'gated-gelu\' or \'relu\''''						)

						# for backwards compatibility
						if feed_forward_proj == "gated-gelu":
							lowerCAmelCase__      :		Tuple    							=      '''gelu_new'''

						super().__init__(
						    pad_token_id=lowercase_  ,eos_token_id=lowercase_  ,is_encoder_decoder=lowercase_  ,**lowercase_  ,)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					@property
					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		int    							=      {
						    '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
						    '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
						}
						if self.use_past:
							lowerCAmelCase__      :		Union[str, Any]    							=      '''past_encoder_sequence + sequence'''
							lowerCAmelCase__      :		List[Any]    							=      {0: '''batch'''}
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
						else:
							lowerCAmelCase__      :		Union[str, Any]    							=      {0: '''batch''', 1: '''decoder_sequence'''}
							lowerCAmelCase__      :		Any    							=      {0: '''batch''', 1: '''decoder_sequence'''}

						if self.use_past:
							self.fill_with_past_key_values_(lowercase_  ,direction='''inputs'''						)

						return common_inputs







					@property
					def 			__lowerCAmelCase					(			self     :							Optional[int]						):
						return 1_3




