



import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 				__A					( A_					, unittest.TestCase      ):
			UpperCamelCase					:Any     =			RobertaTokenizer
			UpperCamelCase					:Optional[int]     =			RobertaTokenizerFast
			UpperCamelCase					:Union[str, Any]     =			True
			UpperCamelCase					:List[str]     =			{'''cls_token''': '''<s>'''}





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

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						lowerCamelCase__ :      Dict								=		[
						    """l""",
						    """o""",
						    """w""",
						    """e""",
						    """r""",
						    """s""",
						    """t""",
						    """i""",
						    """d""",
						    """n""",
						    """\u0120""",
						    """\u0120l""",
						    """\u0120n""",
						    """\u0120lo""",
						    """\u0120low""",
						    """er""",
						    """\u0120lowest""",
						    """\u0120newer""",
						    """\u0120wider""",
						    """<unk>""",
						]
						lowerCamelCase__ :      Any								=		dict(zip(__magic_name__							,    range(len(__magic_name__				)				)				)				)
						lowerCamelCase__ :      Optional[int]								=		["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
						lowerCamelCase__ :      int								=		{"""unk_token""": """<unk>"""}

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





			def        _snake_case    (self							,    **__magic_name__				):
						kwargs.update(self.special_tokens_map				)
						return self.tokenizer_class.from_pretrained(self.tmpdirname							,    **__magic_name__				)





			def        _snake_case    (self							,    **__magic_name__				):
						kwargs.update(self.special_tokens_map				)
						return RobertaTokenizerFast.from_pretrained(self.tmpdirname							,    **__magic_name__				)





			def        _snake_case    (self							,    __magic_name__				):
						lowerCamelCase__ :      Union[str, Any]								=		"""lower newer"""
						lowerCamelCase__ :      Optional[int]								=		"""lower newer"""
						return input_text, output_text





			def        _snake_case    (self				):
						lowerCamelCase__ :      Any								=		self.tokenizer_class(self.vocab_file							,    self.merges_file							,    **self.special_tokens_map				)
						lowerCamelCase__ :      int								=		"""lower newer"""
						lowerCamelCase__ :      Union[str, Any]								=		["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
						lowerCamelCase__ :      List[Any]								=		tokenizer.tokenize(__magic_name__				)  # , add_prefix_space=True)
						self.assertListEqual(__magic_name__							,    __magic_name__				)

						lowerCamelCase__ :      Dict								=		tokens + [tokenizer.unk_token]
						lowerCamelCase__ :      List[str]								=		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)							,    __magic_name__				)





			def        _snake_case    (self				):
						lowerCamelCase__ :      int								=		self.get_tokenizer()

						self.assertListEqual(tokenizer.encode("""Hello world!"""							,    add_special_tokens=__magic_name__				)							,    [0, 31414, 232, 328, 2]				)
						self.assertListEqual(
						    tokenizer.encode("""Hello world! cécé herlolip 418"""							,    add_special_tokens=__magic_name__				)							,    [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]							,    )





			@slow
			def        _snake_case    (self				):
						lowerCamelCase__ :      Optional[int]								=		self.tokenizer_class.from_pretrained("""roberta-base"""				)

						lowerCamelCase__ :      Optional[Any]								=		tokenizer.encode("""sequence builders"""							,    add_special_tokens=__magic_name__				)
						lowerCamelCase__ :      Any								=		tokenizer.encode("""multi-sequence build"""							,    add_special_tokens=__magic_name__				)

						lowerCamelCase__ :      int								=		tokenizer.encode(
						    """sequence builders"""							,    add_special_tokens=__magic_name__							,    add_prefix_space=__magic_name__				)
						lowerCamelCase__ :      Union[str, Any]								=		tokenizer.encode(
						    """sequence builders"""							,    """multi-sequence build"""							,    add_special_tokens=__magic_name__							,    add_prefix_space=__magic_name__				)

						lowerCamelCase__ :      int								=		tokenizer.build_inputs_with_special_tokens(__magic_name__				)
						lowerCamelCase__ :      List[Any]								=		tokenizer.build_inputs_with_special_tokens(__magic_name__							,    __magic_name__				)

						assert encoded_sentence == encoded_text_from_decode
						assert encoded_pair == encoded_pair_from_decode





			def        _snake_case    (self				):
						lowerCamelCase__ :      Any								=		self.get_tokenizer()

						lowerCamelCase__ :      Optional[int]								=		"""Encode this sequence."""
						lowerCamelCase__ :      int								=		tokenizer.byte_encoder[""" """.encode("""utf-8"""				)[0]]

						# Testing encoder arguments
						lowerCamelCase__ :      Dict								=		tokenizer.encode(__magic_name__							,    add_special_tokens=__magic_name__							,    add_prefix_space=__magic_name__				)
						lowerCamelCase__ :      Dict								=		tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
						self.assertNotEqual(__magic_name__							,    __magic_name__				)

						lowerCamelCase__ :      str								=		tokenizer.encode(__magic_name__							,    add_special_tokens=__magic_name__							,    add_prefix_space=__magic_name__				)
						lowerCamelCase__ :      List[str]								=		tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
						self.assertEqual(__magic_name__							,    __magic_name__				)

						tokenizer.add_special_tokens({"""bos_token""": """<s>"""}				)
						lowerCamelCase__ :      Any								=		tokenizer.encode(__magic_name__							,    add_special_tokens=__magic_name__				)
						lowerCamelCase__ :      Optional[Any]								=		tokenizer.convert_ids_to_tokens(encoded[1]				)[0]
						self.assertNotEqual(__magic_name__							,    __magic_name__				)

						# Testing spaces after special tokens
						lowerCamelCase__ :      Union[str, Any]								=		"""<mask>"""
						tokenizer.add_special_tokens(
						    {"""mask_token""": AddedToken(__magic_name__							,    lstrip=__magic_name__							,    rstrip=__magic_name__				)}				)  # mask token has a left space
						lowerCamelCase__ :      List[str]								=		tokenizer.convert_tokens_to_ids(__magic_name__				)

						lowerCamelCase__ :      Tuple								=		"""Encode <mask> sequence"""
						lowerCamelCase__ :      str								=		"""Encode <mask>sequence"""

						lowerCamelCase__ :      int								=		tokenizer.encode(__magic_name__				)
						lowerCamelCase__ :      Union[str, Any]								=		encoded.index(__magic_name__				)
						lowerCamelCase__ :      Tuple								=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
						self.assertEqual(__magic_name__							,    __magic_name__				)

						lowerCamelCase__ :      List[Any]								=		tokenizer.encode(__magic_name__				)
						lowerCamelCase__ :      Optional[Any]								=		encoded.index(__magic_name__				)
						lowerCamelCase__ :      Dict								=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
						self.assertNotEqual(__magic_name__							,    __magic_name__				)





			def        _snake_case    (self				):
						pass





			def        _snake_case    (self				):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"				):
												lowerCamelCase__ :      Union[str, Any]								=		self.rust_tokenizer_class.from_pretrained(__magic_name__							,    **__magic_name__				)
												lowerCamelCase__ :      int								=		self.tokenizer_class.from_pretrained(__magic_name__							,    **__magic_name__				)
												lowerCamelCase__ :      Optional[int]								=		"""A, <mask> AllenNLP sentence."""
												lowerCamelCase__ :      Optional[int]								=		tokenizer_r.encode_plus(__magic_name__							,    add_special_tokens=__magic_name__							,    return_token_type_ids=__magic_name__				)
												lowerCamelCase__ :      Any								=		tokenizer_p.encode_plus(__magic_name__							,    add_special_tokens=__magic_name__							,    return_token_type_ids=__magic_name__				)

												# token_type_ids should put 0 everywhere
												self.assertEqual(sum(tokens_r["""token_type_ids"""]				)							,    sum(tokens_p["""token_type_ids"""]				)				)

												# attention_mask should put 1 everywhere, so sum over length should be 1
												self.assertEqual(
												    sum(tokens_r["""attention_mask"""]				) / len(tokens_r["""attention_mask"""]				)							,    sum(tokens_p["""attention_mask"""]				) / len(tokens_p["""attention_mask"""]				)							,    )

												lowerCamelCase__ :      Any								=		tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]				)
												lowerCamelCase__ :      Optional[int]								=		tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]				)

												# Rust correctly handles the space before the mask while python doesnt
												self.assertSequenceEqual(tokens_p["""input_ids"""]							,    [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]				)
												self.assertSequenceEqual(tokens_r["""input_ids"""]							,    [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]				)

												self.assertSequenceEqual(
												    __magic_name__							,    ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]				)
												self.assertSequenceEqual(
												    __magic_name__							,    ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]				)





			def        _snake_case    (self				):
						for trim_offsets, add_prefix_space in itertools.product([True, False]							,    repeat=2				):
									lowerCamelCase__ :      Union[str, Any]								=		self.rust_tokenizer_class.from_pretrained(
									    self.tmpdirname							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)

									lowerCamelCase__ :      int								=		json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()				)
									lowerCamelCase__ :      Optional[Any]								=		json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()				)

									self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]							,    __magic_name__				)

									self.assertEqual(post_processor_state["""add_prefix_space"""]							,    __magic_name__				)
									self.assertEqual(post_processor_state["""trim_offsets"""]							,    __magic_name__				)





			def        _snake_case    (self				):
						# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
						# `trim_offsets`
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"				):
												lowerCamelCase__ :      Union[str, Any]								=		"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
												lowerCamelCase__ :      List[Any]								=		f"{text_of_1_token} {text_of_1_token}"

												lowerCamelCase__ :      List[str]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Optional[int]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (len(__magic_name__				) + 1, len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      List[Any]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (len(__magic_name__				) + 1, len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      List[str]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (len(__magic_name__				), len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      Optional[Any]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (len(__magic_name__				), len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      Tuple								=		f" {text}"

												# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
												#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
												# )
												# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
												# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
												# self.assertEqual(
												#     encoding.offset_mapping[1],
												#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
												# )

												lowerCamelCase__ :      Optional[int]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (1, 1 + len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (1 + len(__magic_name__				) + 1, 1 + len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      Dict								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      Union[str, Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, 1 + len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (1 + len(__magic_name__				), 1 + len(__magic_name__				) + 1 + len(__magic_name__				))							,    )

												lowerCamelCase__ :      List[str]								=		self.rust_tokenizer_class.from_pretrained(
												    __magic_name__							,    use_fast=__magic_name__							,    add_prefix_space=__magic_name__							,    trim_offsets=__magic_name__				)
												lowerCamelCase__ :      List[Any]								=		tokenizer_r(__magic_name__							,    return_offsets_mapping=__magic_name__							,    add_special_tokens=__magic_name__				)
												self.assertEqual(encoding.offset_mapping[0]							,    (0, 1 + len(__magic_name__				))				)
												self.assertEqual(
												    encoding.offset_mapping[1]							,    (1 + len(__magic_name__				), 1 + len(__magic_name__				) + 1 + len(__magic_name__				))							,    )








from string import ascii_uppercase

_lowercase     							=						{char: i for i, char in enumerate(ascii_uppercase)}
_lowercase     							=						dict(enumerate(ascii_uppercase))






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      List[str]								=		len(UpperCamelCase )
			lowerCamelCase__ :      int								=		0
			while True:
						if x == i:
									lowerCamelCase__ :      Union[str, Any]								=		0
						if len(UpperCamelCase ) == len(UpperCamelCase ):
									break
						key += key[i]
						i += 1
			return key






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      int								=		""""""
			lowerCamelCase__ :      str								=		0
			for letter in message:
						if letter == " ":
									cipher_text += " "
						else:
									lowerCamelCase__ :      Optional[int]								=		(dicta[letter] - dicta[key_new[i]]) % 26
									i += 1
									cipher_text += dicta[x]
			return cipher_text






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Dict								=		""""""
			lowerCamelCase__ :      Tuple								=		0
			for letter in cipher_text:
						if letter == " ":
									or_txt += " "
						else:
									lowerCamelCase__ :      List[Any]								=		(dicta[letter] + dicta[key_new[i]] + 26) % 26
									i += 1
									or_txt += dicta[x]
			return or_txt






def      _A				()  ->None:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		"""THE GERMAN ATTACK"""
			lowerCamelCase__ :      Union[str, Any]								=		"""SECRET"""
			lowerCamelCase__ :      List[str]								=		generate_key(UpperCamelCase      ,			UpperCamelCase )
			lowerCamelCase__ :      List[Any]								=		cipher_text(UpperCamelCase      ,			UpperCamelCase )
			print(f"Encrypted Text = {s}" )
			print(f"Original Text = {original_text(UpperCamelCase      ,			UpperCamelCase )}" )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()



