






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


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

_A     :      int   					=128_022
_A     :      str   					=128_028

@require_sentencepiece
class _lowercase     (    _lowercase    ,				unittest.TestCase		):
							a    				=	MaMaaaTokenizer
							a    				=	False
							a    				=	False
							a    				=	True




							def 		lowerCamelCase_    (							self:    List[Any]					):
														super().setUp()

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

														lowerCamelCase__ :     Union[str, Any]	  =	MaMaaaTokenizer.from_pretrained(self.tmpdirname					)
														tokenizer.save_pretrained(self.tmpdirname					)




							def 		lowerCamelCase_    (							self:    str      ,							**UpperCamelCase__:    Any					):
														return MaMaaaTokenizer.from_pretrained(self.tmpdirname      ,							**UpperCamelCase__					)




							def 		lowerCamelCase_    (							self:    str      ,							UpperCamelCase__:    int					):
														return (
														    "This is a test",
														    "This is a test",
														)




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     Tuple	  =	"""</s>"""
														lowerCamelCase__ :     Optional[Any]	  =	0

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




							def 		lowerCamelCase_    (							self:    Tuple					):
														lowerCamelCase__ :     Any	  =	self.get_tokenizer()
														lowerCamelCase__ :     Dict	  =	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(UpperCamelCase__					)      ,							tokenizer.vocab_size + len(tokenizer.get_added_vocab()					)					)




							@unittest.skip("""Skip this test while all models are still to be uploaded."""					)
							def 		lowerCamelCase_    (							self:    List[Any]					):
														pass




							def 		lowerCamelCase_    (							self:    Tuple					):
														lowerCamelCase__ :     str	  =	self.get_tokenizer()

														lowerCamelCase__ :     Union[str, Any]	  =	tokenizer.tokenize("""This is a test"""					)
														self.assertListEqual(UpperCamelCase__      ,							["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]					)

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

														lowerCamelCase__ :     Any	  =	tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]					)
														self.assertListEqual(UpperCamelCase__      ,							["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]					)

														lowerCamelCase__ :     Optional[Any]	  =	tokenizer.convert_tokens_to_string(UpperCamelCase__					)
														self.assertEqual(UpperCamelCase__      ,							"""This is a test"""					)




							@slow
							def 		lowerCamelCase_    (							self:    int					):
														# fmt: off
														lowerCamelCase__ :     Any	  =	{"""input_ids""": [[128_022, 110_108, 397, 11, 38_272, 2_247, 124_811, 285, 18_105, 1_586, 207, 7, 39_534, 4_428, 397, 1_019, 18_105, 1_586, 207, 7, 41_337, 16_786, 241, 7, 20_214, 17, 125_690, 10_398, 7, 44_378, 58_069, 68_342, 7_798, 7_343, 11, 299, 33_310, 4, 158, 37_350, 94_077, 4_569, 299, 33_310, 90, 4, 52_840, 290, 4, 31_270, 112, 299, 682, 4, 52_840, 39_953, 14_079, 193, 52_519, 90_894, 17_894, 120_697, 11, 40_445, 551, 17, 1_019, 52_519, 90_894, 17_756, 963, 11, 40_445, 480, 17, 9_792, 1_120, 5_173, 1_393, 6_240, 16_786, 241, 120_996, 28, 1_245, 1_393, 118_240, 11_123, 1_019, 93_612, 2_691, 10_618, 98_058, 120_409, 1_928, 279, 4, 40_683, 367, 178, 207, 1_019, 103, 103_121, 506, 65_296, 5, 2], [128_022, 21_217, 367, 117, 125_450, 128, 719, 7, 7_308, 40, 93_612, 12_669, 1_116, 16_704, 71, 17_785, 3_699, 15_592, 35, 144, 9_584, 241, 11_943, 713, 950, 799, 2_247, 88_427, 150, 149, 118_813, 120_706, 1_019, 106_906, 81_518, 28, 1_224, 22_799, 397, 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], [128_022, 1_658, 123_311, 5_155, 5_578, 4_722, 279, 14_947, 2_366, 1_120, 1_197, 14, 1_348, 9_232, 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=UpperCamelCase__      ,							model_name="""facebook/m2m100_418M"""      ,							revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""      ,							)



@require_torch
@require_sentencepiece
@require_tokenizers
class _lowercase     (    unittest.TestCase		):
							a    				=	"""facebook/m2m100_418M"""
							a    				=	[
							    """In my opinion, there are two levels of response from the French government.""",
							    """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
							]
							a    				=	[
							    """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
							a    				=	[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 		lowerCamelCase_    (							cls:    Union[str, Any]					):
														lowerCamelCase__ :     MaMaaaTokenizer	  =	MaMaaaTokenizer.from_pretrained(
														    cls.checkpoint_name      ,							src_lang="""en"""      ,							tgt_lang="""fr"""					)
														lowerCamelCase__ :     str	  =	1
														return cls




							def 		lowerCamelCase_    (							self:    Tuple					):
														self.assertEqual(self.tokenizer.get_lang_id("""ar"""					)      ,							128_006					)
														self.assertEqual(self.tokenizer.get_lang_id("""en"""					)      ,							128_022					)
														self.assertEqual(self.tokenizer.get_lang_id("""ro"""					)      ,							128_076					)
														self.assertEqual(self.tokenizer.get_lang_id("""mr"""					)      ,							128_063					)




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     Optional[int]	  =	self.tokenizer.get_vocab()
														self.assertEqual(len(UpperCamelCase__					)      ,							self.tokenizer.vocab_size					)
														self.assertEqual(vocab["""<unk>"""]      ,							3					)
														self.assertIn(self.tokenizer.get_lang_token("""en"""					)      ,							UpperCamelCase__					)




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     List[str]	  =	"""en"""
														lowerCamelCase__ :     int	  =	self.tokenizer.batch_encode_plus(self.src_text					).input_ids[0]
														self.assertListEqual(self.expected_src_tokens      ,							UpperCamelCase__					)




							def 		lowerCamelCase_    (							self:    Dict					):
														self.assertIn(UpperCamelCase__      ,							self.tokenizer.all_special_ids					)
														# fmt: off
														lowerCamelCase__ :     Optional[int]	  =	[FR_CODE, 5_364, 82, 8_642, 4, 294, 47, 8, 14_028, 136, 3_286, 9_706, 6, 90_797, 6, 144_012, 162, 88_128, 30_061, 5, 2]
														# fmt: on
														lowerCamelCase__ :     List[str]	  =	self.tokenizer.decode(UpperCamelCase__      ,							skip_special_tokens=UpperCamelCase__					)
														lowerCamelCase__ :     Optional[Any]	  =	self.tokenizer.decode(generated_ids[1:]      ,							skip_special_tokens=UpperCamelCase__					)
														self.assertEqual(UpperCamelCase__      ,							UpperCamelCase__					)
														self.assertNotIn(self.tokenizer.eos_token      ,							UpperCamelCase__					)




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     List[str]	  =	tempfile.mkdtemp()
														lowerCamelCase__ :     Tuple	  =	self.tokenizer.lang_token_to_id
														self.tokenizer.save_pretrained(UpperCamelCase__					)
														lowerCamelCase__ :     List[str]	  =	MaMaaaTokenizer.from_pretrained(UpperCamelCase__					)
														self.assertDictEqual(new_tok.lang_token_to_id      ,							UpperCamelCase__					)




							@require_torch
							def 		lowerCamelCase_    (							self:    int					):
														lowerCamelCase__ :     Union[str, Any]	  =	"""en"""
														lowerCamelCase__ :     List[Any]	  =	"""fr"""

														lowerCamelCase__ :     Any	  =	self.tokenizer(self.src_text      ,							text_target=self.tgt_text      ,							padding=UpperCamelCase__      ,							return_tensors="""pt"""					)

														lowerCamelCase__ :     Union[str, Any]	  =	shift_tokens_right(
														    batch["""labels"""]      ,							self.tokenizer.pad_token_id      ,							self.tokenizer.eos_token_id					)

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

														lowerCamelCase__ :     Union[str, Any]	  =	"""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 		lowerCamelCase_    (							self:    Optional[int]					):
														lowerCamelCase__ :     Tuple	  =	"""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					)]					)

														lowerCamelCase__ :     str	  =	"""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 		lowerCamelCase_    (							self:    Tuple					):
														lowerCamelCase__ :     Optional[int]	  =	self.tokenizer._build_translation_inputs("""A test"""      ,							return_tensors="""pt"""      ,							src_lang="""en"""      ,							tgt_lang="""ar"""					)

														self.assertEqual(
														    nested_simplify(UpperCamelCase__					)      ,							{
														        # en_XX, A, test, EOS
														        """input_ids""": [[128_022, 58, 4_183, 2]],
														        """attention_mask""": [[1, 1, 1, 1]],
														        # ar_AR
														        """forced_bos_token_id""": 128_006,
														    }      ,							)









'''simple docstring'''







def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	list:

							# bit count represents no. of bits in the gray code
							if bit_count < 0:
														raise ValueError("""The given input must be positive"""				)

							# get the generated string sequence
							lowerCamelCase__ :     List[str]	  =	gray_code_sequence_string(UpperCamelCase				)
							#
							# convert them to integers
							for i in range(len(UpperCamelCase				)				):
														lowerCamelCase__ :     int	  =	int(sequence[i]    ,      2				)

							return sequence





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	list:

							# The approach is a recursive one
							# Base case achieved when either n = 0 or n=1
							if bit_count == 0:
														return ["0"]

							if bit_count == 1:
														return ["0", "1"]

							lowerCamelCase__ :     Optional[Any]	  =	1 << bit_count  # defines the length of the sequence
							# 1<< n is equivalent to 2^n

							# recursive answer will generate answer for n-1 bits
							lowerCamelCase__ :     Any	  =	gray_code_sequence_string(bit_count - 1				)

							lowerCamelCase__ :     Union[str, Any]	  =	[]

							# append 0 to first half of the smaller sequence generated
							for i in range(seq_len // 2				):
														lowerCamelCase__ :     Optional[int]	  =	"""0""" + smaller_sequence[i]
														sequence.append(UpperCamelCase				)

							# append 1 to second half ... start from the end of the list
							for i in reversed(range(seq_len // 2				)				):
														lowerCamelCase__ :     int	  =	"""1""" + smaller_sequence[i]
														sequence.append(UpperCamelCase				)

							return sequence


if __name__ == "__main__":
			import doctest

			doctest.testmod()

