



import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
@require_tokenizers
class 			_snake_case     (   lowerCAmelCase_      ,		unittest.TestCase):
				UpperCamelCase__			:   Union[str, Any]       						=RoCBertTokenizer
				UpperCamelCase__			:   str       						=None
				UpperCamelCase__			:   str       						=False
				UpperCamelCase__			:   int       						=True
				UpperCamelCase__			:   List[str]       						=filter_non_english




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

							lowercase__   					=			["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
							lowercase__   					=			{}
							lowercase__   					=			{}
							for i, value in enumerate(__SCREAMING_SNAKE_CASE  ):
										lowercase__   					=			i
										lowercase__   					=			i
							lowercase__   					=			os.path.join(self.tmpdirname,   VOCAB_FILES_NAMES["vocab_file"]  )
							lowercase__   					=			os.path.join(self.tmpdirname,   VOCAB_FILES_NAMES["word_shape_file"]  )
							lowercase__   					=			os.path.join(self.tmpdirname,   VOCAB_FILES_NAMES["word_pronunciation_file"]  )
							with open(self.vocab_file,   "w",   encoding="utf-8"  ) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]  )  )
							with open(self.word_shape_file,   "w",   encoding="utf-8"  ) as word_shape_writer:
										json.dump(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE,   ensure_ascii=__SCREAMING_SNAKE_CASE  )
							with open(self.word_pronunciation_file,   "w",   encoding="utf-8"  ) as word_pronunciation_writer:
										json.dump(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE,   ensure_ascii=__SCREAMING_SNAKE_CASE  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			self.tokenizer_class(self.vocab_file,   self.word_shape_file,   self.word_pronunciation_file  )

							lowercase__   					=			tokenizer.tokenize("你好[SEP]你是谁"  )
							self.assertListEqual(__SCREAMING_SNAKE_CASE,   ["你", "好", "[SEP]", "你", "是", "谁"]  )
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE  ),   [5, 6, 2, 5, 7, 8]  )
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__SCREAMING_SNAKE_CASE  ),   [5, 6, 2, 5, 7, 8]  )
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__SCREAMING_SNAKE_CASE  ),   [5, 6, 2, 5, 7, 8]  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			RoCBertBasicTokenizer()

							self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"  ),   ["ah", "\u535A", "\u63A8", "zz"]  )




				def 							A__ (  self   :  List[Any]  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  ),   ["hello", "!", "how", "are", "you", "?"]  )
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  ),   ["hello"]  )




				def 							A__ (  self   :  List[str]  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE,   strip_accents=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  ),   ["hällo", "!", "how", "are", "you", "?"]  )
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  ),   ["h\u00E9llo"]  )




				def 							A__ (  self   :  List[str]  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE,   strip_accents=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  ),   ["hallo", "!", "how", "are", "you", "?"]  )
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  ),   ["hello"]  )




				def 							A__ (  self   :  str  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  ),   ["hallo", "!", "how", "are", "you", "?"]  )
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"  ),   ["hello"]  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "  ),   ["HeLLo", "!", "how", "Are", "yoU", "?"]  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE,   strip_accents=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  ),   ["HäLLo", "!", "how", "Are", "yoU", "?"]  )




				def 							A__ (  self   :  List[str]  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE,   strip_accents=__SCREAMING_SNAKE_CASE  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "  ),   ["HaLLo", "!", "how", "Are", "yoU", "?"]  )




				def 							A__ (  self   :  Any  ):
							lowercase__   					=			RoCBertBasicTokenizer(do_lower_case=__SCREAMING_SNAKE_CASE,   never_split=["[UNK]"]  )

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"  ),   ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]  )




				def 							A__ (  self   :  Optional[int]  ):
							lowercase__   					=			["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

							lowercase__   					=			{}
							for i, token in enumerate(__SCREAMING_SNAKE_CASE  ):
										lowercase__   					=			i
							lowercase__   					=			RoCBertWordpieceTokenizer(vocab=__SCREAMING_SNAKE_CASE,   unk_token="[UNK]"  )

							self.assertListEqual(tokenizer.tokenize(""  ),   []  )

							self.assertListEqual(tokenizer.tokenize("unwanted running"  ),   ["un", "##want", "##ed", "runn", "##ing"]  )

							self.assertListEqual(tokenizer.tokenize("unwantedX running"  ),   ["[UNK]", "runn", "##ing"]  )




				def 							A__ (  self   :  Dict  ):
							self.assertTrue(_is_whitespace(" "  )  )
							self.assertTrue(_is_whitespace("\t"  )  )
							self.assertTrue(_is_whitespace("\r"  )  )
							self.assertTrue(_is_whitespace("\n"  )  )
							self.assertTrue(_is_whitespace("\u00A0"  )  )

							self.assertFalse(_is_whitespace("A"  )  )
							self.assertFalse(_is_whitespace("-"  )  )




				def 							A__ (  self   :  Union[str, Any]  ):
							self.assertTrue(_is_control("\u0005"  )  )

							self.assertFalse(_is_control("A"  )  )
							self.assertFalse(_is_control(" "  )  )
							self.assertFalse(_is_control("\t"  )  )
							self.assertFalse(_is_control("\r"  )  )




				def 							A__ (  self   :  Optional[int]  ):
							self.assertTrue(_is_punctuation("-"  )  )
							self.assertTrue(_is_punctuation("$"  )  )
							self.assertTrue(_is_punctuation("`"  )  )
							self.assertTrue(_is_punctuation("."  )  )

							self.assertFalse(_is_punctuation("A"  )  )
							self.assertFalse(_is_punctuation(" "  )  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			self.get_tokenizer()

							# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
							self.assertListEqual([tokenizer.tokenize(__SCREAMING_SNAKE_CASE  ) for t in ["Test", "\xad", "test"]],   [["[UNK]"], [], ["[UNK]"]]  )

							if self.test_rust_tokenizer:
										lowercase__   					=			self.get_rust_tokenizer()
										self.assertListEqual(
										    [rust_tokenizer.tokenize(__SCREAMING_SNAKE_CASE  ) for t in ["Test", "\xad", "test"]],   [["[UNK]"], [], ["[UNK]"]]  )




				def 							A__ (  self   :  Tuple  ):

							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
													lowercase__   					=			self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE,   **__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
													lowercase__   					=			tokenizer_r.encode_plus(
													    __SCREAMING_SNAKE_CASE,   return_attention_mask=__SCREAMING_SNAKE_CASE,   return_token_type_ids=__SCREAMING_SNAKE_CASE,   return_offsets_mapping=__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE,   )

													lowercase__   					=			tokenizer_r.do_lower_case if hasattr(__SCREAMING_SNAKE_CASE,   "do_lower_case"  ) else False
													lowercase__   					=			(
													    [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), "A"),
													        ((1, 2), ","),
													        ((3, 5), "na"),
													        ((5, 6), "##ï"),
													        ((6, 8), "##ve"),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), "Allen"),
													        ((21, 23), "##NL"),
													        ((23, 24), "##P"),
													        ((25, 33), "sentence"),
													        ((33, 34), "."),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													    if not do_lower_case
													    else [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), "a"),
													        ((1, 2), ","),
													        ((3, 8), "naive"),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), "allen"),
													        ((21, 23), "##nl"),
													        ((23, 24), "##p"),
													        ((25, 33), "sentence"),
													        ((33, 34), "."),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													)

													self.assertEqual(
													    [e[1] for e in expected_results],   tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]  )  )
													self.assertEqual([e[0] for e in expected_results],   tokens["offset_mapping"]  )




				def 							A__ (  self   :  Optional[int]  ):
							lowercase__   					=			["的", "人", "有"]
							lowercase__   					=			"".join(__SCREAMING_SNAKE_CASE  )
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
													lowercase__   					=			True
													lowercase__   					=			self.tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE,   **__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE,   **__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			tokenizer_p.encode(__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer_r.encode(__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			tokenizer_r.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer_p.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE  )

													# it is expected that each Chinese character is not preceded by "##"
													self.assertListEqual(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )
													self.assertListEqual(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )

													lowercase__   					=			False
													lowercase__   					=			self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE,   **__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			self.tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE,   **__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			tokenizer_r.encode(__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer_p.encode(__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			tokenizer_r.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer_p.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE  )

													# it is expected that only the first Chinese character is not preceded by "##".
													lowercase__   					=			[
													    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(__SCREAMING_SNAKE_CASE  )
													]
													self.assertListEqual(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )
													self.assertListEqual(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )




				@slow
				def 							A__ (  self   :  Any  ):
							lowercase__   					=			self.tokenizer_class(self.vocab_file,   self.word_shape_file,   self.word_pronunciation_file  )

							lowercase__   					=			tokenizer.encode("你好",   add_special_tokens=__SCREAMING_SNAKE_CASE  )
							lowercase__   					=			tokenizer.encode("你是谁",   add_special_tokens=__SCREAMING_SNAKE_CASE  )

							lowercase__   					=			tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE  )
							lowercase__   					=			tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )

							assert encoded_sentence == [1] + text + [2]
							assert encoded_pair == [1] + text + [2] + text_a + [2]




				def 							A__ (  self   :  str  ):
							lowercase__   					=			self.get_tokenizers(do_lower_case=__SCREAMING_SNAKE_CASE  )
							for tokenizer in tokenizers:
										with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
													lowercase__   					=			"你好，你是谁"
													lowercase__   					=			tokenizer.tokenize(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer.convert_tokens_to_shape_ids(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer.convert_tokens_to_pronunciation_ids(__SCREAMING_SNAKE_CASE  )
													lowercase__   					=			tokenizer.prepare_for_model(
													    __SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )

													lowercase__   					=			tokenizer.encode_plus(__SCREAMING_SNAKE_CASE,   add_special_tokens=__SCREAMING_SNAKE_CASE  )

													self.assertEqual(__SCREAMING_SNAKE_CASE,   __SCREAMING_SNAKE_CASE  )









from __future__ import annotations

from typing import TypedDict
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   str
				UpperCamelCase__			:   int



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)

			return [s[i:] + s[:i] for i in range(len(SCREAMING_SNAKE_CASE_					)					)]



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)
			if not s:
						raise ValueError("The parameter s must not be empty."					)

			lowercase__   					=			all_rotations(SCREAMING_SNAKE_CASE_					)
			rotations.sort()  # sort the list of rotations in alphabetically order
			# make a string composed of the last char of each rotation
			lowercase__   					=			{
			    "bwt_string": "".join([word[-1] for word in rotations]					),
			    "idx_original_string": rotations.index(SCREAMING_SNAKE_CASE_					),
			}
			return response



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter bwt_string type must be str."					)
			if not bwt_string:
						raise ValueError("The parameter bwt_string must not be empty."					)
			try:
						lowercase__   					=			int(SCREAMING_SNAKE_CASE_					)
			except ValueError:
						raise TypeError(
						    "The parameter idx_original_string type must be int or passive"
						    " of cast to int."					)
			if idx_original_string < 0:
						raise ValueError("The parameter idx_original_string must not be lower than 0."					)
			if idx_original_string >= len(SCREAMING_SNAKE_CASE_					):
						raise ValueError(
						    "The parameter idx_original_string must be lower than" " len(bwt_string)."					)

			lowercase__   					=			[""] * len(SCREAMING_SNAKE_CASE_					)
			for _ in range(len(SCREAMING_SNAKE_CASE_					)					):
						for i in range(len(SCREAMING_SNAKE_CASE_					)					):
									lowercase__   					=			bwt_string[i] + ordered_rotations[i]
						ordered_rotations.sort()
			return ordered_rotations[idx_original_string]


if __name__ == "__main__":
							lowercase_						=       """Provide a string that I will generate its BWT transform: """
							lowercase_						=       input(entry_msg).strip()
							lowercase_						=       bwt_transform(s)
							print(
							    F'Burrows Wheeler transform for string \'{s}\' results '
							    F'in \'{result["bwt_string"]}\''
							)
							lowercase_						=       reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
							print(
							    F'Reversing Burrows Wheeler transform for entry \'{result["bwt_string"]}\' '
							    F'we get original string \'{original_string}\''
							)




