

'''simple docstring'''
import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin
@require_phonemizer
class 					_snake_case		(__SCREAMING_SNAKE_CASE			,			unittest.TestCase):
			__A  :	Union[str, Any]        =WavaVecaPhonemeCTCTokenizer
			__A  :	Tuple        =False






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

				UpperCAmelCase_     :      Optional[int]						=  (
				    "<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː "
				    "ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː "
				    "ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 "
				    "oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ "
				    "pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ "
				    "yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ "
				    "əʊ S ɡʲ onɡ2 u\" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ "
				    "ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ "
				    "ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ "
				    "uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ "
				    "ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ "
				    "ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ "
				    "ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4"
				).split(" "     )
				UpperCAmelCase_     :      int						=  dict(zip(_snake_case			,range(len(_snake_case     )     )     )     )

				UpperCAmelCase_     :      Optional[Any]						=  {"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

				UpperCAmelCase_     :      List[str]						=  os.path.join(self.tmpdirname			,VOCAB_FILES_NAMES["vocab_file"]     )
				with open(self.vocab_file			,"w"			,encoding="utf-8"     ) as fp:
					fp.write(json.dumps(_snake_case     ) + "\n"     )






			def 		UpperCamelCase__							(  self			,_snake_case			,_snake_case=False			,_snake_case=20			,_snake_case=5     ):
				UpperCAmelCase_     :      str						=  [(i, tokenizer.decode([i]			,clean_up_tokenization_spaces=_snake_case     )) for i in range(len(_snake_case     )     )]
				UpperCAmelCase_     :      Any						=  list(filter(lambda _snake_case     : [t[0]] == tokenizer.encode(t[1]			,do_phonemize=_snake_case     )			,_snake_case     )     )
				if max_length is not None and len(_snake_case     ) > max_length:
					UpperCAmelCase_     :      Optional[int]						=  toks[:max_length]
				if min_length is not None and len(_snake_case     ) < min_length and len(_snake_case     ) > 0:
					while len(_snake_case     ) < min_length:
						UpperCAmelCase_     :      Optional[int]						=  toks + toks
        # toks_str = [t[1] for t in toks]
				UpperCAmelCase_     :      str						=  [t[0] for t in toks]

				# Ensure consistency
				UpperCAmelCase_     :      Dict						=  tokenizer.decode(_snake_case			,clean_up_tokenization_spaces=_snake_case     )
				if " " not in output_txt and len(_snake_case     ) > 1:
					UpperCAmelCase_     :      Tuple						=  (
					    tokenizer.decode([toks_ids[0]]			,clean_up_tokenization_spaces=_snake_case     )
					    + " "
					    + tokenizer.decode(toks_ids[1:]			,clean_up_tokenization_spaces=_snake_case     )
					)
				if with_prefix_space:
					UpperCAmelCase_     :      Any						=  " " + output_txt
				UpperCAmelCase_     :      Dict						=  tokenizer.encode(_snake_case			,add_special_tokens=_snake_case     )
				return output_txt, output_ids






			def 		UpperCamelCase__							(  self			,**_snake_case     ):
				kwargs.update(self.special_tokens_map     )
				return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname			,**_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )

				# check adding a single token
				tokenizer.add_tokens("xxx"     )
				UpperCAmelCase_     :      List[str]						=  tokenizer("m xxx ɪ"			,do_phonemize=_snake_case     ).input_ids
				self.assertEqual(_snake_case			,[13, 3_92, 17]     )  # xxx should be last token

				tokenizer.add_tokens(["aaa", "bbb", "ccc"]     )
				UpperCAmelCase_     :      List[Any]						=  tokenizer("m aaa ɪ ccc"			,do_phonemize=_snake_case     ).input_ids
				self.assertEqual(_snake_case			,[13, 3_93, 17, 3_95]     )  # aaa and ccc should be after xxx and 2 after aaa

				UpperCAmelCase_     :      int						=  tokenizer("maɪ c"			,do_phonemize=_snake_case     ).input_ids
				self.assertEqual(_snake_case			,[3, 2_00]     )  # mai should be <unk> (=3)






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Tuple						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )

				UpperCAmelCase_     :      Optional[Any]						=  "Hello how are you"
				UpperCAmelCase_     :      Dict						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )
				self.assertEqual(_snake_case			,"h ə l oʊ h aʊ ɑːɹ j uː"     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Optional[int]						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )

				UpperCAmelCase_     :      Optional[int]						=  "Hello how are you"
				UpperCAmelCase_     :      int						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )
				self.assertEqual(tokenizer(_snake_case     ).input_ids			,tokenizer(_snake_case			,do_phonemize=_snake_case     ).input_ids     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )
				UpperCAmelCase_     :      Tuple						=  "Hello how are you"
				UpperCAmelCase_     :      Optional[Any]						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )

				UpperCAmelCase_     :      int						=  tokenizer.decode(tokenizer(_snake_case     ).input_ids     )

				self.assertEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )

				UpperCAmelCase_     :      Tuple						=  [
				    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
				    [24, 22, 5, 24, 22, 5, 77],
				]
				UpperCAmelCase_     :      Tuple						=  tokenizer.decode(sample_ids[0]     )
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.batch_decode(_snake_case     )
				self.assertEqual(_snake_case			,batch_tokens[0]     )
				self.assertEqual(_snake_case			,["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[Any]						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				UpperCAmelCase_     :      Union[str, Any]						=  "Hello how are you"
				UpperCAmelCase_     :      Tuple						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )
				self.assertEqual(_snake_case			,"h ə l oʊ | h aʊ | ɑːɹ | j uː |"     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[str]						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				UpperCAmelCase_     :      Union[str, Any]						=  "Hello how are you"
				UpperCAmelCase_     :      int						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )
				self.assertEqual(tokenizer(_snake_case     ).input_ids			,tokenizer(_snake_case			,do_phonemize=_snake_case     ).input_ids     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Tuple						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				# fmt: off
				UpperCAmelCase_     :      List[str]						=  [
				    [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
				    [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
				]
				# fmt: on

				# decode with word_del_token filter
				UpperCAmelCase_     :      str						=  tokenizer.decode(sample_ids[0]     )
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.batch_decode(_snake_case     )
				self.assertEqual(_snake_case			,batch_tokens[0]     )
				self.assertEqual(_snake_case			,["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]     )

				# decode with no word_del_token filter
				UpperCAmelCase_     :      int						=  tokenizer.decode(sample_ids[0]			,filter_word_delimiter_token=_snake_case     )
				UpperCAmelCase_     :      str						=  tokenizer.batch_decode(_snake_case			,filter_word_delimiter_token=_snake_case     )
				self.assertEqual(_snake_case			,batch_tokens[0]     )
				self.assertEqual(_snake_case			,["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"]     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      str						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				UpperCAmelCase_     :      int						=  "Hello how are you"
				UpperCAmelCase_     :      Tuple						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )

				UpperCAmelCase_     :      Any						=  tokenizer.decode(tokenizer(_snake_case     ).input_ids			,filter_word_delimiter_token=_snake_case     )

				self.assertEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      int						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				UpperCAmelCase_     :      Optional[Any]						=  "Hello how are you"
				UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.phonemize(_snake_case			,phonemizer_lang="en-us"     )

				UpperCAmelCase_     :      Dict						=  tokenizer.decode(tokenizer(_snake_case     ).input_ids			,filter_word_delimiter_token=_snake_case     )

				self.assertEqual(" ".join([p.strip() for p in phonemes.split(" |"     )]     ).strip()			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[Any]						=  self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft"			,word_delimiter_token=_snake_case     )
				UpperCAmelCase_     :      Dict						=  "Hello how are you"

				UpperCAmelCase_     :      List[Any]						=  tokenizer(_snake_case			,phonemizer_lang="en-us"     ).input_ids
				UpperCAmelCase_     :      Optional[Any]						=  tokenizer(_snake_case			,phonemizer_lang="fr-fr"     ).input_ids

				self.assertNotEqual(_snake_case			,_snake_case     )

				UpperCAmelCase_     :      str						=  tokenizer.decode(_snake_case     )
				UpperCAmelCase_     :      str						=  tokenizer.decode(_snake_case     )

				self.assertEqual(_snake_case			,"h ə l oʊ h aʊ ɑːɹ j uː"     )
				self.assertEqual(_snake_case			,"ɛ l o h aʊ a ʁ j u"     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[str]						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )
				UpperCAmelCase_     :      Optional[Any]						=  "Hello how Are you"
				UpperCAmelCase_     :      Optional[int]						=  "hello how are you"

				UpperCAmelCase_     :      Dict						=  tokenizer(_snake_case     ).input_ids
				UpperCAmelCase_     :      List[str]						=  tokenizer(_snake_case     ).input_ids

				self.assertEqual(_snake_case			,_snake_case     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Optional[Any]						=  self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"     )
				tokenizer.add_tokens(["!", "?"]     )
				tokenizer.add_special_tokens({"cls_token": "$$$"}     )

				# fmt: off
				UpperCAmelCase_     :      Optional[Any]						=  [
				    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
				    [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
				]
				# fmt: on

				UpperCAmelCase_     :      List[Any]						=  tokenizer.batch_decode(_snake_case     )
				self.assertEqual(_snake_case			,["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]     )






			@staticmethod
			def 		UpperCamelCase__							(  _snake_case			,_snake_case     ):
				UpperCAmelCase_     :      Optional[int]						=  [d[key] for d in offsets]
				return retrieved_list






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  self.get_tokenizer(word_delimiter_token="|"     )
				tokenizer.add_tokens("|"     )

				# fmt: off
				# ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
				UpperCAmelCase_     :      Optional[int]						=  [11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
				# fmt: on

				UpperCAmelCase_     :      Tuple						=  tokenizer.decode(_snake_case			,output_char_offsets=_snake_case			,filter_word_delimiter_token=_snake_case     )
				# check Wav2Vec2CTCTokenizerOutput keys for char
				self.assertEqual(len(outputs.keys()     )			,2     )
				self.assertTrue("text" in outputs     )
				self.assertTrue("char_offsets" in outputs     )
				self.assertTrue(isinstance(_snake_case			,_snake_case     )     )

				# check that order of chars is correct and identical for both outputs
				self.assertEqual(" ".join(self.get_from_offsets(outputs["char_offsets"]			,"char"     )     )			,outputs.text     )
				self.assertListEqual(
				    self.get_from_offsets(outputs["char_offsets"]			,"char"     )			,["k", "s", "ɾ", "ɾ", "|", "ɾ", "l", "|", "ɭʲ"]     )

				# check that offsets are actually correct for char
				# 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
				# 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
				self.assertListEqual(
				    self.get_from_offsets(outputs["char_offsets"]			,"start_offset"     )			,[0, 1, 4, 7, 9, 11, 12, 15, 16]     )
				self.assertListEqual(
				    self.get_from_offsets(outputs["char_offsets"]			,"end_offset"     )			,[1, 4, 6, 9, 10, 12, 15, 16, 17]     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Dict						=  self.get_tokenizer(word_delimiter_token="|"     )

				def check_list_tuples_equal(_snake_case			,_snake_case     ):
					self.assertTrue(isinstance(_snake_case			,_snake_case     )     )
					self.assertTrue(isinstance(outputs_list[0]			,_snake_case     )     )

					# transform list to ModelOutput
					UpperCAmelCase_     :      List[str]						=  WavaVecaPhonemeCTCTokenizerOutput(
					    {k: [d[k] for d in outputs_list] for k in outputs_list[0]}     )

					self.assertListEqual(outputs_batch["text"]			,outputs_batch_a["text"]     )

					def recursive_check(_snake_case			,_snake_case     ):
						if isinstance(_snake_case			,_snake_case     ):
							[recursive_check(_snake_case			,_snake_case     ) for la, la in zip(_snake_case			,_snake_case     )]
						self.assertEqual(_snake_case			,_snake_case     )

					if "char_offsets" in outputs_batch:
						recursive_check(outputs_batch["char_offsets"]			,outputs_batch_a["char_offsets"]     )

        # fmt: off
				UpperCAmelCase_     :      Optional[int]						=  [
				    [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
				    [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
				]
				# fmt: on

				# We assume that `decode` works as expected. All we will check now is
				# the output type is correct and the output is identical to `decode`

				# char
				UpperCAmelCase_     :      List[Any]						=  tokenizer.batch_decode(_snake_case			,output_char_offsets=_snake_case     )
				UpperCAmelCase_     :      Dict						=  [tokenizer.decode(_snake_case			,output_char_offsets=_snake_case     ) for ids in sample_ids]
				check_list_tuples_equal(_snake_case			,_snake_case     )






			@unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"     )
			def 		UpperCamelCase__							(  self     ):
				pass






			@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"     )
			def 		UpperCamelCase__							(  self     ):
				pass






			@unittest.skip("encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency"     )
			def 		UpperCamelCase__							(  self     ):
				pass






			@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing"     )
			def 		UpperCamelCase__							(  self     ):
				pass






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Any						=  self.get_tokenizers(do_lower_case=_snake_case     )
				for tokenizer in tokenizers:
					with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
						UpperCAmelCase_     :      Any						=  tokenizer.vocab_size
						UpperCAmelCase_     :      str						=  len(_snake_case     )

						self.assertNotEqual(_snake_case			,0     )

						# We usually have added tokens from the start in tests because our vocab fixtures are
						# smaller than the original vocabs - let's not assert this
						# self.assertEqual(vocab_size, all_size)

						UpperCAmelCase_     :      str						=  ["aaaaa bbbbbb", "cccccccccdddddddd"]
						UpperCAmelCase_     :      Optional[int]						=  tokenizer.add_tokens(_snake_case     )
						UpperCAmelCase_     :      Any						=  tokenizer.vocab_size
						UpperCAmelCase_     :      int						=  len(_snake_case     )

						self.assertNotEqual(_snake_case			,0     )
						self.assertEqual(_snake_case			,_snake_case     )
						self.assertEqual(_snake_case			,len(_snake_case     )     )
						self.assertEqual(_snake_case			,all_size + len(_snake_case     )     )

						UpperCAmelCase_     :      List[Any]						=  tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"			,add_special_tokens=_snake_case     )

						self.assertGreaterEqual(len(_snake_case     )			,4     )
						self.assertGreater(tokens[0]			,tokenizer.vocab_size - 1     )
						self.assertGreater(tokens[-3]			,tokenizer.vocab_size - 1     )

						UpperCAmelCase_     :      str						=  {"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
						UpperCAmelCase_     :      str						=  tokenizer.add_special_tokens(_snake_case     )
						UpperCAmelCase_     :      Union[str, Any]						=  tokenizer.vocab_size
						UpperCAmelCase_     :      Tuple						=  len(_snake_case     )

						self.assertNotEqual(_snake_case			,0     )
						self.assertEqual(_snake_case			,_snake_case     )
						self.assertEqual(_snake_case			,len(_snake_case     )     )
						self.assertEqual(_snake_case			,all_size_a + len(_snake_case     )     )

						UpperCAmelCase_     :      Dict						=  tokenizer.encode(
						    ">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"			,add_special_tokens=_snake_case     )

						self.assertGreaterEqual(len(_snake_case     )			,6     )
						self.assertGreater(tokens[0]			,tokenizer.vocab_size - 1     )
						self.assertGreater(tokens[0]			,tokens[1]     )
						self.assertGreater(tokens[-3]			,tokenizer.vocab_size - 1     )
						self.assertGreater(tokens[-3]			,tokens[-4]     )
						self.assertEqual(tokens[0]			,tokenizer.eos_token_id     )
						self.assertEqual(tokens[-3]			,tokenizer.pad_token_id     )






			@unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."     )
			def 		UpperCamelCase__							(  self     ):
				pass






			@unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."     )
			def 		UpperCamelCase__							(  self     ):
				pass






			def 		UpperCamelCase__							(  self     ):
				# The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
				# is not the case for Wav2Vec2PhonemeCTCTokenizer.
				UpperCAmelCase_     :      Union[str, Any]						=  self.get_tokenizers(fast=_snake_case			,do_lower_case=_snake_case     )
				for tokenizer in tokenizers:
					with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
						UpperCAmelCase_     :      Union[str, Any]						=  ["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
						UpperCAmelCase_     :      Optional[int]						=  tokenizer.convert_tokens_to_string(_snake_case     )

						self.assertIsInstance(output["text"]			,_snake_case     )











"""simple docstring"""



def 						__lowercase	(  snake_case_    :    int		)  ->int:



    '''simple docstring'''







    __A       :		str							=	1
    for i in range(1							,num + 1		):
        fact *= i
    return fact







def 						__lowercase	(  snake_case_    :    int		)  ->int:



    '''simple docstring'''







    __A       :		str							=	0
    while number > 0:
        __A       :		Optional[int]							=	number % 10
        sum_of_digits += last_digit
        __A       :		Dict							=	number // 10  # Removing the last_digit from the given number
    return sum_of_digits







def 						__lowercase	(  snake_case_    :    int = 100		)  ->int:



    '''simple docstring'''







    __A       :		Optional[int]							=	factorial(snake_case_		)
    __A       :		Optional[Any]							=	split_and_add(snake_case_		)
    return result


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




