

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():
					_lowerCAmelCase  :      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

_lowerCAmelCase  :      Optional[Any]			 =12_80_22
_lowerCAmelCase  :      Tuple			 =12_80_28

@require_sentencepiece
class __UpperCamelCase     (				_a					,unittest.TestCase		):






					'''simple docstring'''



					__magic_name__        =   MaMaaaTokenizer
					__magic_name__        =   False
					__magic_name__        =   False
					__magic_name__        =   True





					def    _UpperCAmelCase    (				self						):
						super().setUp()

						UpperCAmelCase__:	str									= ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
						UpperCAmelCase__:	Union[str, Any]									= dict(zip(lowerCamelCase__				,      range(len(lowerCamelCase__						)						)						)						)
						UpperCAmelCase__:	Optional[Any]									= 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"]						)

						UpperCAmelCase__:	Dict									= MaMaaaTokenizer.from_pretrained(self.tmpdirname						)
						tokenizer.save_pretrained(self.tmpdirname						)





					def    _UpperCAmelCase    (				self				,      **lowerCamelCase__						):
						return MaMaaaTokenizer.from_pretrained(self.tmpdirname				,      **lowerCamelCase__						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):
						return (
						    "This is a test",
						    "This is a test",
						)





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Any									= "</s>"
						UpperCAmelCase__:	int									= 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						):
						UpperCAmelCase__:	Tuple									= self.get_tokenizer()
						UpperCAmelCase__:	Any									= 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						):
						pass





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Optional[Any]									= self.get_tokenizer()

						UpperCAmelCase__:	str									= 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]				,      )

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

						UpperCAmelCase__:	Any									= tokenizer.convert_tokens_to_string(lowerCamelCase__						)
						self.assertEqual(lowerCamelCase__				,      "This is a test"						)





					@slow
					def    _UpperCAmelCase    (				self						):
						# fmt: off
						UpperCAmelCase__:	Optional[int]									= {"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=lowerCamelCase__				,      model_name="facebook/m2m100_418M"				,      revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"				,      )

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






					'''simple docstring'''



					__magic_name__        =   "facebook/m2m100_418M"
					__magic_name__        =   [
					    "In my opinion, there are two levels of response from the French government.",
					    "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
					]
					__magic_name__        =   [
					    "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
					__magic_name__        =   [EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]





					@classmethod
					def    _UpperCAmelCase    (				cls						):
						UpperCAmelCase__:	MaMaaaTokenizer									= MaMaaaTokenizer.from_pretrained(
						    cls.checkpoint_name				,      src_lang="en"				,      tgt_lang="fr"						)
						UpperCAmelCase__:	Any									= 1
						return cls





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





					def    _UpperCAmelCase    (				self						):
						self.assertIn(lowerCamelCase__				,      self.tokenizer.all_special_ids						)
						# fmt: off
						UpperCAmelCase__:	Any									= [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
						UpperCAmelCase__:	List[Any]									= self.tokenizer.decode(lowerCamelCase__				,      skip_special_tokens=lowerCamelCase__						)
						UpperCAmelCase__:	Optional[int]									= self.tokenizer.decode(generated_ids[1:]				,      skip_special_tokens=lowerCamelCase__						)
						self.assertEqual(lowerCamelCase__				,      lowerCamelCase__						)
						self.assertNotIn(self.tokenizer.eos_token				,      lowerCamelCase__						)





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Optional[Any]									= tempfile.mkdtemp()
						UpperCAmelCase__:	Any									= self.tokenizer.lang_token_to_id
						self.tokenizer.save_pretrained(lowerCamelCase__						)
						UpperCAmelCase__:	int									= MaMaaaTokenizer.from_pretrained(lowerCamelCase__						)
						self.assertDictEqual(new_tok.lang_token_to_id				,      lowerCamelCase__						)





					@require_torch
					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	List[str]									= "en"
						UpperCAmelCase__:	List[Any]									= "fr"

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

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

						for k in batch:
							UpperCAmelCase__:	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    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Optional[int]									= "mr"
						self.assertListEqual(self.tokenizer.prefix_tokens				,      [self.tokenizer.get_lang_id("mr"						)]						)
						self.assertListEqual(self.tokenizer.suffix_tokens				,      [self.tokenizer.eos_token_id]						)

						UpperCAmelCase__:	Tuple									= "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						):
						UpperCAmelCase__:	List[Any]									= "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						)]						)

						UpperCAmelCase__:	List[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    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	List[str]									= 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": [[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 			_A	(      SCREAMING_SNAKE_CASE      ):
	stooge(SCREAMING_SNAKE_CASE	,0	,len(SCREAMING_SNAKE_CASE      ) - 1      )
	return arr



def 			_A	(      SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      ):
	if i >= h:
		return

	# If first element is smaller than the last then swap them
	if arr[i] > arr[h]:
		UpperCAmelCase__							,						UpperCAmelCase__:	int									= arr[h], arr[i]

	# If there are more than 2 elements in the array
	if h - i + 1 > 2:
		UpperCAmelCase__:	str									= (int)((h - i + 1) / 3      )

		# Recursively sort first 2/3 elements
		stooge(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,(h - t)      )

		# Recursively sort last 2/3 elements
		stooge(SCREAMING_SNAKE_CASE	,i + t	,(SCREAMING_SNAKE_CASE)      )

		# Recursively sort first 2/3 elements
		stooge(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,(h - t)      )


if __name__ == "__main__":
					_lowerCAmelCase  :      List[str]			 =input("""Enter numbers separated by a comma:\n""").strip()
					_lowerCAmelCase  :      Any			 =[int(item) for item in user_input.split(""",""")]
					print(stooge_sort(unsorted))