


'''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():
							__SCREAMING_SNAKE_CASE					:				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

__SCREAMING_SNAKE_CASE					:				Any									=		128022
__SCREAMING_SNAKE_CASE					:				Optional[int]									=		128028






@require_sentencepiece
class 					__lowerCAmelCase   (   lowercase				,			unittest.TestCase						):

						"""simple docstring"""






						_UpperCAmelCase		:       Tuple   						=MaMaaaTokenizer
						_UpperCAmelCase		:       List[str]   						=False
						_UpperCAmelCase		:       Tuple   						=False
						_UpperCAmelCase		:       int   						=True






						def 				_UpperCAmelCase       (  self							:      Optional[int]	):
													super().setUp()

													A_			    =		["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
													A_			    =		dict(zip(lowerCAmelCase ,  range(len(lowerCAmelCase	)	)	)	)
													A_			    =		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"]	)

													A_			    =		MaMaaaTokenizer.from_pretrained(self.tmpdirname	)
													tokenizer.save_pretrained(self.tmpdirname	)






						def 				_UpperCAmelCase       (  self							:      str ,  **lowerCAmelCase							:      Tuple	):
													return MaMaaaTokenizer.from_pretrained(self.tmpdirname ,  **lowerCAmelCase	)






						def 				_UpperCAmelCase       (  self							:      str ,  lowerCAmelCase							:      Any	):
													return (
													    "This is a test",
													    "This is a test",
													)






						def 				_UpperCAmelCase       (  self							:      Optional[Any]	):
													A_			    =		"</s>"
													A_			    =		0

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






						def 				_UpperCAmelCase       (  self							:      List[Any]	):
													A_			    =		self.get_tokenizer()
													A_			    =		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 				_UpperCAmelCase       (  self							:      int	):
													pass






						def 				_UpperCAmelCase       (  self							:      Optional[int]	):
													A_			    =		self.get_tokenizer()

													A_			    =		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] ,  )

													A_			    =		tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]	)
													self.assertListEqual(lowerCAmelCase ,  ["▁This", "▁is", "▁a", "▁t", "est"]	)

													A_			    =		tokenizer.convert_tokens_to_string(lowerCAmelCase	)
													self.assertEqual(lowerCAmelCase ,  "This is a test"	)






						@slow
						def 				_UpperCAmelCase       (  self							:      Tuple	):
													# fmt: off
													A_			    =		{"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=lowerCAmelCase ,  model_name="facebook/m2m100_418M" ,  revision="c168bae485c864188cf9aa0e4108b0b6934dc91e" ,  )






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

						"""simple docstring"""






						_UpperCAmelCase		:       Union[str, Any]   						="facebook/m2m100_418M"
						_UpperCAmelCase		:       Union[str, Any]   						=[
						    "In my opinion, there are two levels of response from the French government.",
						    "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
						]
						_UpperCAmelCase		:       List[Any]   						=[
						    "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
						_UpperCAmelCase		:       Any   						=[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 				_UpperCAmelCase       (  cls							:      Any	):
													A_			    =		MaMaaaTokenizer.from_pretrained(
													    cls.checkpoint_name ,  src_lang="en" ,  tgt_lang="fr"	)
													A_			    =		1
													return cls






						def 				_UpperCAmelCase       (  self							:      str	):
													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 				_UpperCAmelCase       (  self							:      Any	):
													A_			    =		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 				_UpperCAmelCase       (  self							:      str	):
													A_			    =		"en"
													A_			    =		self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
													self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase	)






						def 				_UpperCAmelCase       (  self							:      Tuple	):
													self.assertIn(lowerCAmelCase ,  self.tokenizer.all_special_ids	)
													# fmt: off
													A_			    =		[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
													A_			    =		self.tokenizer.decode(lowerCAmelCase ,  skip_special_tokens=lowerCAmelCase	)
													A_			    =		self.tokenizer.decode(generated_ids[1:] ,  skip_special_tokens=lowerCAmelCase	)
													self.assertEqual(lowerCAmelCase ,  lowerCAmelCase	)
													self.assertNotIn(self.tokenizer.eos_token ,  lowerCAmelCase	)






						def 				_UpperCAmelCase       (  self							:      Dict	):
													A_			    =		tempfile.mkdtemp()
													A_			    =		self.tokenizer.lang_token_to_id
													self.tokenizer.save_pretrained(lowerCAmelCase	)
													A_			    =		MaMaaaTokenizer.from_pretrained(lowerCAmelCase	)
													self.assertDictEqual(new_tok.lang_token_to_id ,  lowerCAmelCase	)






						@require_torch
						def 				_UpperCAmelCase       (  self							:      Tuple	):
													A_			    =		"en"
													A_			    =		"fr"

													A_			    =		self.tokenizer(self.src_text ,  text_target=self.tgt_text ,  padding=lowerCAmelCase ,  return_tensors="pt"	)

													A_			    =		shift_tokens_right(
													    batch["labels"] ,  self.tokenizer.pad_token_id ,  self.tokenizer.eos_token_id	)

													for k in batch:
																				A_			    =		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 				_UpperCAmelCase       (  self							:      Union[str, Any]	):
													A_			    =		"mr"
													self.assertListEqual(self.tokenizer.prefix_tokens ,  [self.tokenizer.get_lang_id("mr"	)]	)
													self.assertListEqual(self.tokenizer.suffix_tokens ,  [self.tokenizer.eos_token_id]	)

													A_			    =		"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 				_UpperCAmelCase       (  self							:      Dict	):
													A_			    =		"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	)]	)

													A_			    =		"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 				_UpperCAmelCase       (  self							:      List[str]	):
													A_			    =		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": [[12_80_22, 58, 41_83, 2]],
													        "attention_mask": [[1, 1, 1, 1]],
													        # ar_AR
													        "forced_bos_token_id": 12_80_06,
													    } ,  )









'''simple docstring'''
import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin






class 					__lowerCAmelCase   (   unittest.TestCase				,			lowercase						):

						"""simple docstring"""






						def 				_UpperCAmelCase       (  self							:      List[str]	):
													A_			    =		load_tool("text-classification"	)
													self.tool.setup()
													A_			    =		load_tool("text-classification" ,  remote=lowerCAmelCase	)






						def 				_UpperCAmelCase       (  self							:      Union[str, Any]	):
													A_			    =		self.tool("That's quite cool" ,  ["positive", "negative"]	)
													self.assertEqual(lowerCAmelCase ,  "positive"	)






						def 				_UpperCAmelCase       (  self							:      str	):
													A_			    =		self.remote_tool("That's quite cool" ,  ["positive", "negative"]	)
													self.assertEqual(lowerCAmelCase ,  "positive"	)






						def 				_UpperCAmelCase       (  self							:      str	):
													A_			    =		self.tool(text="That's quite cool" ,  labels=["positive", "negative"]	)
													self.assertEqual(lowerCAmelCase ,  "positive"	)






						def 				_UpperCAmelCase       (  self							:      List[Any]	):
													A_			    =		self.remote_tool(text="That's quite cool" ,  labels=["positive", "negative"]	)
													self.assertEqual(lowerCAmelCase ,  "positive"	)





