




"""simple docstring"""






import itertools
import string
from collections.abc import Generator, Iterable







def 	_snake_case     (							lowercase__				,       lowercase__						):
				_lowerCamelCase	:     str       =       iter(lowercase__						)
				while True:
								_lowerCamelCase	:     List[Any]       =       tuple(itertools.islice(lowercase__				,       lowercase__						)						)
								if not chunk:
												return
								yield chunk







def 	_snake_case     (							lowercase__						):
				_lowerCamelCase	:     Dict       =       ''.join([c.upper() for c in dirty if c in string.ascii_letters]						)
				_lowerCamelCase	:     Union[str, Any]       =       ''

				if len(lowercase__						) < 2:
								return dirty

				for i in range(len(lowercase__						) - 1						):
								clean += dirty[i]

								if dirty[i] == dirty[i + 1]:
												clean += "X"

				clean += dirty[-1]

				if len(lowercase__						) & 1:
								clean += "X"

				return clean







def 	_snake_case     (							lowercase__						):
				# I and J are used interchangeably to allow
				# us to use a 5x5 table (25 letters)
				_lowerCamelCase	:     str       =       'ABCDEFGHIKLMNOPQRSTUVWXYZ'
				# we're using a list instead of a '2d' array because it makes the math
				# for setting up the table and doing the actual encoding/decoding simpler
				_lowerCamelCase	:     Optional[Any]       =       []

				# copy key chars into the table if they are in `alphabet` ignoring duplicates
				for char in key.upper():
								if char not in table and char in alphabet:
												table.append(lowercase__						)

    # fill the rest of the table in with the remaining alphabet chars
				for char in alphabet:
								if char not in table:
												table.append(lowercase__						)

				return table







def 	_snake_case     (							lowercase__				,       lowercase__						):
				_lowerCamelCase	:     List[str]       =       generate_table(lowercase__						)
				_lowerCamelCase	:     Optional[int]       =       prepare_input(lowercase__						)
				_lowerCamelCase	:     List[Any]       =       ''

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(lowercase__				,       2						):
								_lowerCamelCase,					_lowerCamelCase	:     Optional[int]       =       divmod(table.index(lowercase__						)				,       5						)
								_lowerCamelCase,					_lowerCamelCase	:     int       =       divmod(table.index(lowercase__						)				,       5						)

								if rowa == rowa:
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
								elif cola == cola:
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
								else:  # rectangle
												ciphertext += table[rowa * 5 + cola]
												ciphertext += table[rowa * 5 + cola]

				return ciphertext







def 	_snake_case     (							lowercase__				,       lowercase__						):
				_lowerCamelCase	:     Optional[int]       =       generate_table(lowercase__						)
				_lowerCamelCase	:     Optional[int]       =       ''

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(lowercase__				,       2						):
								_lowerCamelCase,					_lowerCamelCase	:     Dict       =       divmod(table.index(lowercase__						)				,       5						)
								_lowerCamelCase,					_lowerCamelCase	:     Optional[int]       =       divmod(table.index(lowercase__						)				,       5						)

								if rowa == rowa:
												plaintext += table[rowa * 5 + (cola - 1) % 5]
												plaintext += table[rowa * 5 + (cola - 1) % 5]
								elif cola == cola:
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
								else:  # rectangle
												plaintext += table[rowa * 5 + cola]
												plaintext += table[rowa * 5 + cola]

				return plaintext





"""simple docstring"""






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 lowerCAmelCase__      (	lowercase,      unittest.TestCase		):






			'''simple docstring'''



			lowerCamelCase__ =     RobertaTokenizer
			lowerCamelCase__ =     RobertaTokenizerFast
			lowerCamelCase__ =     True
			lowerCamelCase__ =     {"""cls_token""": """<s>"""}
			def    A_       (    self    ):
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							_lowerCamelCase	:     Optional[Any]       =       [
							    'l',
							    'o',
							    'w',
							    'e',
							    'r',
							    's',
							    't',
							    'i',
							    'd',
							    'n',
							    '\u0120',
							    '\u0120l',
							    '\u0120n',
							    '\u0120lo',
							    '\u0120low',
							    'er',
							    '\u0120lowest',
							    '\u0120newer',
							    '\u0120wider',
							    '<unk>',
							]
							_lowerCamelCase	:     Optional[int]       =       dict(zip(lowercase    , range(len(lowercase    )    )    )    )
							_lowerCamelCase	:     Optional[int]       =       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
							_lowerCamelCase	:     Optional[Any]       =       {'unk_token': '<unk>'}

							_lowerCamelCase	:     Optional[int]       =       os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES['vocab_file']    )
							_lowerCamelCase	:     Optional[Any]       =       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(lowercase    ) + '\n'    )
							with open(self.merges_file    , 'w'    , encoding='utf-8'    ) as fp:
											fp.write('\n'.join(lowercase    )    )
			def    A_       (    self    , **lowercase    ):
							kwargs.update(self.special_tokens_map    )
							return self.tokenizer_class.from_pretrained(self.tmpdirname    , **lowercase    )
			def    A_       (    self    , **lowercase    ):
							kwargs.update(self.special_tokens_map    )
							return RobertaTokenizerFast.from_pretrained(self.tmpdirname    , **lowercase    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Any       =       'lower newer'
							_lowerCamelCase	:     Union[str, Any]       =       'lower newer'
							return input_text, output_text
			def    A_       (    self    ):
							_lowerCamelCase	:     Dict       =       self.tokenizer_class(self.vocab_file    , self.merges_file    , **self.special_tokens_map    )
							_lowerCamelCase	:     List[str]       =       'lower newer'
							_lowerCamelCase	:     Tuple       =       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
							_lowerCamelCase	:     List[str]       =       tokenizer.tokenize(lowercase    )  # , add_prefix_space=True)
							self.assertListEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     List[Any]       =       tokens + [tokenizer.unk_token]
							_lowerCamelCase	:     str       =       [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase    )    , lowercase    )
			def    A_       (    self    ):
							_lowerCamelCase	:     Union[str, Any]       =       self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('Hello world!'    , add_special_tokens=lowercase    )    , [0, 31414, 232, 328, 2]    )
							self.assertListEqual(
							    tokenizer.encode('Hello world! cécé herlolip 418'    , add_special_tokens=lowercase    )    , [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    , )
			@slow
			def    A_       (    self    ):
							_lowerCamelCase	:     Dict       =       self.tokenizer_class.from_pretrained('roberta-base'    )

							_lowerCamelCase	:     Tuple       =       tokenizer.encode('sequence builders'    , add_special_tokens=lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.encode('multi-sequence build'    , add_special_tokens=lowercase    )

							_lowerCamelCase	:     List[Any]       =       tokenizer.encode(
							    'sequence builders'    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     List[str]       =       tokenizer.encode(
							    'sequence builders'    , 'multi-sequence build'    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )

							_lowerCamelCase	:     Dict       =       tokenizer.build_inputs_with_special_tokens(lowercase    )
							_lowerCamelCase	:     Optional[int]       =       tokenizer.build_inputs_with_special_tokens(lowercase    , lowercase    )

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode
			def    A_       (    self    ):
							_lowerCamelCase	:     Tuple       =       self.get_tokenizer()

							_lowerCamelCase	:     str       =       'Encode this sequence.'
							_lowerCamelCase	:     Optional[int]       =       tokenizer.byte_encoder[' '.encode('utf-8'    )[0]]

							# Testing encoder arguments
							_lowerCamelCase	:     Optional[int]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     List[str]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     List[Any]       =       tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
							self.assertEqual(lowercase    , lowercase    )

							tokenizer.add_special_tokens({'bos_token': '<s>'}    )
							_lowerCamelCase	:     Optional[Any]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       tokenizer.convert_ids_to_tokens(encoded[1]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )

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

							_lowerCamelCase	:     Optional[int]       =       'Encode <mask> sequence'
							_lowerCamelCase	:     int       =       'Encode <mask>sequence'

							_lowerCamelCase	:     str       =       tokenizer.encode(lowercase    )
							_lowerCamelCase	:     Tuple       =       encoded.index(lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
							self.assertEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     Any       =       tokenizer.encode(lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       encoded.index(lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )
			def    A_       (    self    ):
							pass
			def    A_       (    self    ):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
															_lowerCamelCase	:     Optional[Any]       =       self.rust_tokenizer_class.from_pretrained(lowercase    , **lowercase    )
															_lowerCamelCase	:     Dict       =       self.tokenizer_class.from_pretrained(lowercase    , **lowercase    )
															_lowerCamelCase	:     List[str]       =       'A, <mask> AllenNLP sentence.'
															_lowerCamelCase	:     List[Any]       =       tokenizer_r.encode_plus(lowercase    , add_special_tokens=lowercase    , return_token_type_ids=lowercase    )
															_lowerCamelCase	:     Union[str, Any]       =       tokenizer_p.encode_plus(lowercase    , add_special_tokens=lowercase    , return_token_type_ids=lowercase    )

															# 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	:     List[Any]       =       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']    )
															_lowerCamelCase	:     Tuple       =       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(
															    lowercase    , ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
															self.assertSequenceEqual(
															    lowercase    , ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
			def    A_       (    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=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )

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

											self.assertEqual(pre_tokenizer_state['add_prefix_space']    , lowercase    )

											self.assertEqual(post_processor_state['add_prefix_space']    , lowercase    )
											self.assertEqual(post_processor_state['trim_offsets']    , lowercase    )






			def    A_       (    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	:     Dict       =       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
															_lowerCamelCase	:     Tuple       =       F'''{text_of_1_token} {text_of_1_token}'''

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

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

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

															_lowerCamelCase	:     Dict       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     int       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (len(lowercase    ), len(lowercase    ) + 1 + len(lowercase    ))    , )

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

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

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