


"""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__				:							Union[str, Any]						=     1_2_8_0_2_2
a__				:							Dict						=     1_2_8_0_2_8




@require_sentencepiece
class  UpperCamelCase_	( _UpperCAmelCase			,  unittest.TestCase):

	"""simple docstring"""





	snake_case__				:  Optional[Any]    					=			MaMaaaTokenizer
	snake_case__				:  int    					=			False
	snake_case__				:  List[Any]    					=			False
	snake_case__				:  Tuple    					=			True




	def   UpperCAmelCase_      ( self			:				Tuple   )       ->	Dict:
						super().setUp()

						__SCREAMING_SNAKE_CASE						   =				["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
						__SCREAMING_SNAKE_CASE						   =				dict(zip(lowercase_			,			range(len(lowercase_   )   )   )   )
						__SCREAMING_SNAKE_CASE						   =				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						   =				MaMaaaTokenizer.from_pretrained(self.tmpdirname   )
						tokenizer.save_pretrained(self.tmpdirname   )




	def   UpperCAmelCase_      ( self			:				Tuple			,			**UpperCAmelCase__			:				Any   )       ->	Any:
						return MaMaaaTokenizer.from_pretrained(self.tmpdirname			,			**lowercase_   )




	def   UpperCAmelCase_      ( self			:				Dict			,			UpperCAmelCase__			:				List[Any]   )       ->	List[str]:
						return (
						    "This is a test",
						    "This is a test",
						)




	def   UpperCAmelCase_      ( self			:				Tuple   )       ->	Optional[Any]:
						__SCREAMING_SNAKE_CASE						   =				"</s>"
						__SCREAMING_SNAKE_CASE						   =				0

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




	def   UpperCAmelCase_      ( self			:				Any   )       ->	Optional[Any]:
						__SCREAMING_SNAKE_CASE						   =				self.get_tokenizer()
						__SCREAMING_SNAKE_CASE						   =				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   UpperCAmelCase_      ( self			:				str   )       ->	str:
						pass




	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	Tuple:
						__SCREAMING_SNAKE_CASE						   =				self.get_tokenizer()

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

						__SCREAMING_SNAKE_CASE						   =				tokenizer.convert_tokens_to_string(lowercase_   )
						self.assertEqual(lowercase_			,			"This is a test"   )




	@slow
	def   UpperCAmelCase_      ( self			:				Dict   )       ->	Union[str, Any]:
						__SCREAMING_SNAKE_CASE						   =				{"input_ids": [[1_2_8_0_2_2, 1_1_0_1_0_8, 3_9_7, 1_1, 3_8_2_7_2, 2_2_4_7, 1_2_4_8_1_1, 2_8_5, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 3_9_5_3_4, 4_4_2_8, 3_9_7, 1_0_1_9, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 4_1_3_3_7, 1_6_7_8_6, 2_4_1, 7, 2_0_2_1_4, 1_7, 1_2_5_6_9_0, 1_0_3_9_8, 7, 4_4_3_7_8, 5_8_0_6_9, 6_8_3_4_2, 7_7_9_8, 7_3_4_3, 1_1, 2_9_9, 3_3_3_1_0, 4, 1_5_8, 3_7_3_5_0, 9_4_0_7_7, 4_5_6_9, 2_9_9, 3_3_3_1_0, 9_0, 4, 5_2_8_4_0, 2_9_0, 4, 3_1_2_7_0, 1_1_2, 2_9_9, 6_8_2, 4, 5_2_8_4_0, 3_9_9_5_3, 1_4_0_7_9, 1_9_3, 5_2_5_1_9, 9_0_8_9_4, 1_7_8_9_4, 1_2_0_6_9_7, 1_1, 4_0_4_4_5, 5_5_1, 1_7, 1_0_1_9, 5_2_5_1_9, 9_0_8_9_4, 1_7_7_5_6, 9_6_3, 1_1, 4_0_4_4_5, 4_8_0, 1_7, 9_7_9_2, 1_1_2_0, 5_1_7_3, 1_3_9_3, 6_2_4_0, 1_6_7_8_6, 2_4_1, 1_2_0_9_9_6, 2_8, 1_2_4_5, 1_3_9_3, 1_1_8_2_4_0, 1_1_1_2_3, 1_0_1_9, 9_3_6_1_2, 2_6_9_1, 1_0_6_1_8, 9_8_0_5_8, 1_2_0_4_0_9, 1_9_2_8, 2_7_9, 4, 4_0_6_8_3, 3_6_7, 1_7_8, 2_0_7, 1_0_1_9, 1_0_3, 1_0_3_1_2_1, 5_0_6, 6_5_2_9_6, 5, 2], [1_2_8_0_2_2, 2_1_2_1_7, 3_6_7, 1_1_7, 1_2_5_4_5_0, 1_2_8, 7_1_9, 7, 7_3_0_8, 4_0, 9_3_6_1_2, 1_2_6_6_9, 1_1_1_6, 1_6_7_0_4, 7_1, 1_7_7_8_5, 3_6_9_9, 1_5_5_9_2, 3_5, 1_4_4, 9_5_8_4, 2_4_1, 1_1_9_4_3, 7_1_3, 9_5_0, 7_9_9, 2_2_4_7, 8_8_4_2_7, 1_5_0, 1_4_9, 1_1_8_8_1_3, 1_2_0_7_0_6, 1_0_1_9, 1_0_6_9_0_6, 8_1_5_1_8, 2_8, 1_2_2_4, 2_2_7_9_9, 3_9_7, 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_2_8_0_2_2, 1_6_5_8, 1_2_3_3_1_1, 5_1_5_5, 5_5_7_8, 4_7_2_2, 2_7_9, 1_4_9_4_7, 2_3_6_6, 1_1_2_0, 1_1_9_7, 1_4, 1_3_4_8, 9_2_3_2, 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  UpperCamelCase_	( unittest.TestCase):

	"""simple docstring"""





	snake_case__				:  Any    					=			"facebook/m2m100_418M"
	snake_case__				:  List[Any]    					=			[
	    "In my opinion, there are two levels of response from the French government.",
	    "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
	]
	snake_case__				:  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
	snake_case__				:  List[Any]    					=			[EN_CODE, 593, 1949, 115781, 4, 71586, 4234, 60633, 126233, 432, 123808, 15592, 1197, 117132, 120618, 5, 2]




	@classmethod
	def   UpperCAmelCase_      ( cls			:				Optional[Any]   )       ->	Optional[Any]:
						__SCREAMING_SNAKE_CASE						   =				MaMaaaTokenizer.from_pretrained(
						    cls.checkpoint_name			,			src_lang="en"			,			tgt_lang="fr"   )
						__SCREAMING_SNAKE_CASE						   =				1
						return cls




	def   UpperCAmelCase_      ( self			:				Union[str, Any]   )       ->	List[str]:
						self.assertEqual(self.tokenizer.get_lang_id("ar"   )			,			1_2_8_0_0_6   )
						self.assertEqual(self.tokenizer.get_lang_id("en"   )			,			1_2_8_0_2_2   )
						self.assertEqual(self.tokenizer.get_lang_id("ro"   )			,			1_2_8_0_7_6   )
						self.assertEqual(self.tokenizer.get_lang_id("mr"   )			,			1_2_8_0_6_3   )




	def   UpperCAmelCase_      ( self			:				Any   )       ->	Optional[int]:
						__SCREAMING_SNAKE_CASE						   =				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   UpperCAmelCase_      ( self			:				Union[str, Any]   )       ->	int:
						__SCREAMING_SNAKE_CASE						   =				"en"
						__SCREAMING_SNAKE_CASE						   =				self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
						self.assertListEqual(self.expected_src_tokens			,			lowercase_   )




	def   UpperCAmelCase_      ( self			:				str   )       ->	Tuple:
						self.assertIn(lowercase_			,			self.tokenizer.all_special_ids   )
						# fmt: off
						__SCREAMING_SNAKE_CASE						   =				[FR_CODE, 5_3_6_4, 8_2, 8_6_4_2, 4, 2_9_4, 4_7, 8, 1_4_0_2_8, 1_3_6, 3_2_8_6, 9_7_0_6, 6, 9_0_7_9_7, 6, 1_4_4_0_1_2, 1_6_2, 8_8_1_2_8, 3_0_0_6_1, 5, 2]
						# fmt: on
						__SCREAMING_SNAKE_CASE						   =				self.tokenizer.decode(lowercase_			,			skip_special_tokens=lowercase_   )
						__SCREAMING_SNAKE_CASE						   =				self.tokenizer.decode(generated_ids[1:]			,			skip_special_tokens=lowercase_   )
						self.assertEqual(lowercase_			,			lowercase_   )
						self.assertNotIn(self.tokenizer.eos_token			,			lowercase_   )




	def   UpperCAmelCase_      ( self			:				List[str]   )       ->	int:
						__SCREAMING_SNAKE_CASE						   =				tempfile.mkdtemp()
						__SCREAMING_SNAKE_CASE						   =				self.tokenizer.lang_token_to_id
						self.tokenizer.save_pretrained(lowercase_   )
						__SCREAMING_SNAKE_CASE						   =				MaMaaaTokenizer.from_pretrained(lowercase_   )
						self.assertDictEqual(new_tok.lang_token_to_id			,			lowercase_   )




	@require_torch
	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	List[Any]:
						__SCREAMING_SNAKE_CASE						   =				"en"
						__SCREAMING_SNAKE_CASE						   =				"fr"

						__SCREAMING_SNAKE_CASE						   =				self.tokenizer(self.src_text			,			text_target=self.tgt_text			,			padding=lowercase_			,			return_tensors="pt"   )

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

						for k in batch:
											__SCREAMING_SNAKE_CASE						   =				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			:				Optional[Any]   )       ->	Union[str, Any]:
						__SCREAMING_SNAKE_CASE						   =				"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						   =				"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			:				Optional[Any]   )       ->	List[str]:
						__SCREAMING_SNAKE_CASE						   =				"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						   =				"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			:				Union[str, Any]   )       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				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": [[1_2_8_0_2_2, 5_8, 4_1_8_3, 2]],
						        "attention_mask": [[1, 1, 1, 1]],
						        # ar_AR
						        "forced_bos_token_id": 1_2_8_0_0_6,
						    }			,			)



def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	Union[str, Any]      )							->      Tuple:





    '''simple docstring'''






    A__          =   0
    A__          =   len(SCREAMING_SNAKE_CASE__      ) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
            return None

        A__          =   sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A__          =   left
                A__          =   point
            elif point > right:
                A__          =   right
                A__          =   point
            else:
                if item < current_item:
                    A__          =   point - 1
                else:
                    A__          =   point + 1
    return None
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]      )							->      str:





    '''simple docstring'''






    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    elif point > right:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point - 1      )
        else:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point + 1    ,			SCREAMING_SNAKE_CASE__      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Tuple      )							->      Tuple:





    '''simple docstring'''






    if collection != sorted(SCREAMING_SNAKE_CASE__      ):
        raise ValueError('Collection must be ascending sorted'      )
    return True


if __name__ == "__main__":
     import sys
     lowercase_       		=  0
     if debug == 1:
          lowercase_       		=  [10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("Sequence must be ascending sorted to apply interpolation search")
          lowercase_       		=  67

     lowercase_       		=  interpolation_search(collection, target)
     if result is not None:
          print(f"""{target} found at positions: {result}""")
     else:
          print("Not found")

