


"""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():
	_lowerCamelCase     =  get_tests_dir('fixtures/test_sentencepiece.model')


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

_lowerCamelCase     =  128022
_lowerCamelCase     =  128028


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





				"""simple docstring"""







				_lowerCAmelCase      :      Dict      							=					MaMaaaTokenizer
				_lowerCAmelCase      :      Dict      							=					False
				_lowerCAmelCase      :      Optional[int]      							=					False
				_lowerCAmelCase      :      List[Any]      							=					True



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

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

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



				def   lowerCAmelCase__		(						self       ,		**UpperCAmelCase__     ):
								return MaMaaaTokenizer.from_pretrained(self.tmpdirname       ,		**UpperCAmelCase__     )



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__     ):
								return (
								    "This is a test",
								    "This is a test",
								)



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				"</s>"
								SCREAMING_SNAKE_CASE__     							=				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     ):
								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(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     ):
								pass



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				self.get_tokenizer()

								SCREAMING_SNAKE_CASE__     							=				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]       ,		)

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

								SCREAMING_SNAKE_CASE__     							=				tokenizer.convert_tokens_to_string(UpperCAmelCase__     )
								self.assertEqual(UpperCAmelCase__       ,		"This is a test"     )






				@slow
				def   lowerCAmelCase__		(						self     ):
								# fmt: off
								SCREAMING_SNAKE_CASE__     							=				{"input_ids": [[12_8022, 11_0108, 397, 11, 3_8272, 2247, 12_4811, 285, 1_8105, 1586, 207, 7, 3_9534, 4428, 397, 1019, 1_8105, 1586, 207, 7, 4_1337, 1_6786, 241, 7, 2_0214, 17, 12_5690, 1_0398, 7, 4_4378, 5_8069, 6_8342, 7798, 7343, 11, 299, 3_3310, 4, 158, 3_7350, 9_4077, 4569, 299, 3_3310, 90, 4, 5_2840, 290, 4, 3_1270, 112, 299, 682, 4, 5_2840, 3_9953, 1_4079, 193, 5_2519, 9_0894, 1_7894, 12_0697, 11, 4_0445, 551, 17, 1019, 5_2519, 9_0894, 1_7756, 963, 11, 4_0445, 480, 17, 9792, 1120, 5173, 1393, 6240, 1_6786, 241, 12_0996, 28, 1245, 1393, 11_8240, 1_1123, 1019, 9_3612, 2691, 1_0618, 9_8058, 12_0409, 1928, 279, 4, 4_0683, 367, 178, 207, 1019, 103, 10_3121, 506, 6_5296, 5, 2], [12_8022, 2_1217, 367, 117, 12_5450, 128, 719, 7, 7308, 40, 9_3612, 1_2669, 1116, 1_6704, 71, 1_7785, 3699, 1_5592, 35, 144, 9584, 241, 1_1943, 713, 950, 799, 2247, 8_8427, 150, 149, 11_8813, 12_0706, 1019, 10_6906, 8_1518, 28, 1224, 2_2799, 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], [12_8022, 1658, 12_3311, 5155, 5578, 4722, 279, 1_4947, 2366, 1120, 1197, 14, 1348, 9232, 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 			lowerCamelCase_		(			unittest.TestCase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      Optional[int]      							=					"facebook/m2m100_418M"
				_lowerCAmelCase      :      int      							=					[
				    "In my opinion, there are two levels of response from the French government.",
				    "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
				]
				_lowerCAmelCase      :      str      							=					[
				    "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
				_lowerCAmelCase      :      Tuple      							=					[EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]



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



				def   lowerCAmelCase__		(						self     ):
								self.assertEqual(self.tokenizer.get_lang_id("ar"     )       ,		12_8006     )
								self.assertEqual(self.tokenizer.get_lang_id("en"     )       ,		12_8022     )
								self.assertEqual(self.tokenizer.get_lang_id("ro"     )       ,		12_8076     )
								self.assertEqual(self.tokenizer.get_lang_id("mr"     )       ,		12_8063     )



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				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     ):
								SCREAMING_SNAKE_CASE__     							=				"en"
								SCREAMING_SNAKE_CASE__     							=				self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens       ,		UpperCAmelCase__     )



				def   lowerCAmelCase__		(						self     ):
								self.assertIn(UpperCAmelCase__       ,		self.tokenizer.all_special_ids     )
								# fmt: off
								SCREAMING_SNAKE_CASE__     							=				[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 1_4028, 136, 3286, 9706, 6, 9_0797, 6, 14_4012, 162, 8_8128, 3_0061, 5, 2]
								# fmt: on
								SCREAMING_SNAKE_CASE__     							=				self.tokenizer.decode(UpperCAmelCase__       ,		skip_special_tokens=UpperCAmelCase__     )
								SCREAMING_SNAKE_CASE__     							=				self.tokenizer.decode(generated_ids[1:]       ,		skip_special_tokens=UpperCAmelCase__     )
								self.assertEqual(UpperCAmelCase__       ,		UpperCAmelCase__     )
								self.assertNotIn(self.tokenizer.eos_token       ,		UpperCAmelCase__     )



				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				tempfile.mkdtemp()
								SCREAMING_SNAKE_CASE__     							=				self.tokenizer.lang_token_to_id
								self.tokenizer.save_pretrained(UpperCAmelCase__     )
								SCREAMING_SNAKE_CASE__     							=				MaMaaaTokenizer.from_pretrained(UpperCAmelCase__     )
								self.assertDictEqual(new_tok.lang_token_to_id       ,		UpperCAmelCase__     )



				@require_torch
				def   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				"en"
								SCREAMING_SNAKE_CASE__     							=				"fr"

								SCREAMING_SNAKE_CASE__     							=				self.tokenizer(self.src_text       ,		text_target=self.tgt_text       ,		padding=UpperCAmelCase__       ,		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   lowerCAmelCase__		(						self     ):
								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   lowerCAmelCase__		(						self     ):
								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   lowerCAmelCase__		(						self     ):
								SCREAMING_SNAKE_CASE__     							=				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": [[12_8022, 58, 4183, 2]],
								        "attention_mask": [[1, 1, 1, 1]],
								        # ar_AR
								        "forced_bos_token_id": 12_8006,
								    }       ,		)




"""simple docstring"""






from math import factorial


def __lowercase     (      lowerCamelCase_  :      int = 100  ):
				return sum(int(lowerCamelCase_  ) for x in str(factorial(lowerCamelCase_  )  )  )


if __name__ == "__main__":
	print(solution(int(input('Enter the Number: ').strip())))
