


'''simple docstring'''


import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase__					=   '▁'

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






@require_sentencepiece
class 		lowerCAmelCase__	(	UpperCAmelCase__			,				unittest.TestCase		):
			lowerCAmelCase       :		Optional[Any]				      =   BertGenerationTokenizer
			lowerCAmelCase       :		Union[str, Any]				      =   False
			lowerCAmelCase       :		Union[str, Any]				      =   True




			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->Dict:



					'''simple docstring'''







					super().setUp()

					_UpperCAmelCase						:				str	    =					BertGenerationTokenizer(lowerCamelCase__		,     keep_accents=lowerCamelCase__       )
					tokenizer.save_pretrained(self.tmpdirname       )




			def 							lowerCAmelCase__			(						self     :   int       )      ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					"<s>"
					_UpperCAmelCase						:				int	    =					1

					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     :   Tuple       )      ->Optional[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[Any]	    =					list(self.get_tokenizer().get_vocab().keys()       )

					self.assertEqual(vocab_keys[0]		,     "<unk>"       )
					self.assertEqual(vocab_keys[1]		,     "<s>"       )
					self.assertEqual(vocab_keys[-1]		,     "<pad>"       )
					self.assertEqual(len(lowerCamelCase__       )		,     10_02       )




			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->Tuple:



					'''simple docstring'''







					self.assertEqual(self.get_tokenizer().vocab_size		,     10_00       )




			def 							lowerCAmelCase__			(						self     :   List[str]       )      ->Dict:



					'''simple docstring'''







					_UpperCAmelCase						:				Any	    =					BertGenerationTokenizer(lowerCamelCase__		,     keep_accents=lowerCamelCase__       )

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

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(lowerCamelCase__       )		,     [2_85, 46, 10, 1_70, 3_82]		,     )

					_UpperCAmelCase						:				Dict	    =					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						:				Tuple	    =					tokenizer.convert_tokens_to_ids(lowerCamelCase__       )
					self.assertListEqual(
					    lowerCamelCase__		,     [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,     )

					_UpperCAmelCase						:				Dict	    =					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>",
					        ".",
					    ]		,     )




			@cached_property
			def 							lowerCAmelCase__			(						self     :   int       )      ->Tuple:



					'''simple docstring'''







					return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"       )




			@slow
			def 							lowerCAmelCase__			(						self     :   Any       )      ->int:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					"Hello World!"
					_UpperCAmelCase						:				str	    =					[1_85_36, 22_60, 1_01]

					self.assertListEqual(lowerCamelCase__		,     self.big_tokenizer.encode(lowerCamelCase__       )       )




			@slow
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->Tuple:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[Any]	    =					(
					    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
					    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
					)
					_UpperCAmelCase						:				Union[str, Any]	    =					[
					    8_71,
					    4_19,
					    3_58,
					    9_46,
					    9_91,
					    25_21,
					    4_52,
					    3_58,
					    13_57,
					    3_87,
					    77_51,
					    35_36,
					    1_12,
					    9_85,
					    4_56,
					    1_26,
					    8_65,
					    9_38,
					    54_00,
					    57_34,
					    4_58,
					    13_68,
					    4_67,
					    7_86,
					    24_62,
					    52_46,
					    11_59,
					    6_33,
					    8_65,
					    45_19,
					    4_57,
					    5_82,
					    8_52,
					    25_57,
					    4_27,
					    9_16,
					    5_08,
					    4_05,
					    3_43_24,
					    4_97,
					    3_91,
					    4_08,
					    1_13_42,
					    12_44,
					    3_85,
					    1_00,
					    9_38,
					    9_85,
					    4_56,
					    5_74,
					    3_62,
					    1_25_97,
					    32_00,
					    31_29,
					    11_72,
					]

					self.assertListEqual(lowerCamelCase__		,     self.big_tokenizer.encode(lowerCamelCase__       )       )




			@require_torch
			@slow
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->str:



					'''simple docstring'''







					import torch

					from transformers import BertGenerationConfig, BertGenerationEncoder

					# Build sequence
					_UpperCAmelCase						:				Union[str, Any]	    =					list(self.big_tokenizer.get_vocab().keys()       )[:10]
					_UpperCAmelCase						:				int	    =					" ".join(lowerCamelCase__       )
					_UpperCAmelCase						:				Union[str, Any]	    =					self.big_tokenizer.encode_plus(lowerCamelCase__		,     return_tensors="pt"		,     return_token_type_ids=lowerCamelCase__       )
					_UpperCAmelCase						:				List[str]	    =					self.big_tokenizer.batch_encode_plus(
					    [sequence + " " + sequence]		,     return_tensors="pt"		,     return_token_type_ids=lowerCamelCase__       )

					_UpperCAmelCase						:				List[Any]	    =					BertGenerationConfig()
					_UpperCAmelCase						:				Tuple	    =					BertGenerationEncoder(lowerCamelCase__       )

					assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

					with torch.no_grad():
							model(**lowerCamelCase__       )
							model(**lowerCamelCase__       )






			@slow
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->Union[str, Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				str	    =					{"input_ids": [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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="google/bert_for_seq_generation_L-24_bbc_encoder"		,     revision="c817d1fd1be2ffa69431227a1fe320544943d4db"		,     )







'''simple docstring'''


import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property






@unittest.skipUnless(os.path.exists(UpperCAmelCase__		)			,				"Tatoeba directory does not exist."		)
class 		lowerCAmelCase__	(	unittest.TestCase		):




			@cached_property
			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					tempfile.mkdtemp()
					return TatoebaConverter(save_dir=lowerCamelCase__       )




			@slow
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->List[str]:



					'''simple docstring'''







					self.resolver.convert_models(["heb-eng"]       )






			@slow
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->Any:



					'''simple docstring'''







					_UpperCAmelCase    ,			_UpperCAmelCase						:				Tuple	    =					self.resolver.write_model_card("opus-mt-he-en"		,     dry_run=lowerCamelCase__       )
					assert mmeta["long_pair"] == "heb-eng"



