
import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class        UpperCamelCase__(    lowerCAmelCase__						,						unittest.TestCase	):

	"""simple docstring"""

	_A  =		RealmTokenizer
	_A  =		RealmTokenizerFast
	_A  =		True
	_A  =		True
	_A  =		filter_non_english







	def        _a					(      self				:			List[str] ):
			"""simple docstring"""





			super().setUp()

			A				=[
			    "[UNK]",
			    "[CLS]",
			    "[SEP]",
			    "[PAD]",
			    "[MASK]",
			    "want",
			    "##want",
			    "##ed",
			    "wa",
			    "un",
			    "runn",
			    "##ing",
			    ",",
			    "low",
			    "lowest",
			]
			A				=os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES["vocab_file"] )
			with open(self.vocab_file							,			"w"							,			encoding="utf-8" ) as vocab_writer:
					vocab_writer.write("".join([x + "\n" for x in vocab_tokens] ) )







	def        _a					(      self				:			Dict							,			snake_case__				:			Optional[int] ):
			"""simple docstring"""





			A				="UNwant\u00E9d,running"
			A				="unwanted, running"
			return input_text, output_text







	def        _a					(      self				:			str ):
			"""simple docstring"""





			A				=self.tokenizer_class(self.vocab_file )

			A				=tokenizer.tokenize("UNwant\u00E9d,running" )
			self.assertListEqual(snake_case__							,			["un", "##want", "##ed", ",", "runn", "##ing"] )
			self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__ )							,			[9, 6, 7, 12, 10, 11] )







	def        _a					(      self				:			Optional[Any] ):
			"""simple docstring"""





			if not self.test_rust_tokenizer:
					return

			A				=self.get_tokenizer()
			A				=self.get_rust_tokenizer()

			A				="UNwant\u00E9d,running"

			A				=tokenizer.tokenize(snake_case__ )
			A				=rust_tokenizer.tokenize(snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )

			A				=tokenizer.encode(snake_case__							,			add_special_tokens=snake_case__ )
			A				=rust_tokenizer.encode(snake_case__							,			add_special_tokens=snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )

			A				=self.get_rust_tokenizer()
			A				=tokenizer.encode(snake_case__ )
			A				=rust_tokenizer.encode(snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )

			# With lower casing
			A				=self.get_tokenizer(do_lower_case=snake_case__ )
			A				=self.get_rust_tokenizer(do_lower_case=snake_case__ )

			A				="UNwant\u00E9d,running"

			A				=tokenizer.tokenize(snake_case__ )
			A				=rust_tokenizer.tokenize(snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )

			A				=tokenizer.encode(snake_case__							,			add_special_tokens=snake_case__ )
			A				=rust_tokenizer.encode(snake_case__							,			add_special_tokens=snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )

			A				=self.get_rust_tokenizer()
			A				=tokenizer.encode(snake_case__ )
			A				=rust_tokenizer.encode(snake_case__ )
			self.assertListEqual(snake_case__							,			snake_case__ )







	def        _a					(      self				:			int ):
			"""simple docstring"""





			A				=BasicTokenizer()

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







	def        _a					(      self				:			Dict ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=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				:			str ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__							,			strip_accents=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				:			str ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__							,			strip_accents=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 ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=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 ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__ )

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







	def        _a					(      self				:			Union[str, Any] ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__							,			strip_accents=snake_case__ )

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







	def        _a					(      self				:			Union[str, Any] ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__							,			strip_accents=snake_case__ )

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







	def        _a					(      self				:			str ):
			"""simple docstring"""





			A				=BasicTokenizer(do_lower_case=snake_case__							,			never_split=["[UNK]"] )

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







	def        _a					(      self				:			Any ):
			"""simple docstring"""





			A				=["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

			A				={}
			for i, token in enumerate(snake_case__ ):
					A				=i
			A				=WordpieceTokenizer(vocab=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				:			str ):
			"""simple docstring"""





			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				:			Optional[Any] ):
			"""simple docstring"""





			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				:			Tuple ):
			"""simple docstring"""





			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				:			str ):
			"""simple docstring"""





			A				=self.get_tokenizer()

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

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







	@slow
	def        _a					(      self				:			int ):
			"""simple docstring"""





			A				=self.tokenizer_class.from_pretrained("bert-base-uncased" )

			A				=tokenizer.encode("sequence builders"							,			add_special_tokens=snake_case__ )
			A				=tokenizer.encode("multi-sequence build"							,			add_special_tokens=snake_case__ )

			A				=tokenizer.build_inputs_with_special_tokens(snake_case__ )
			A				=tokenizer.build_inputs_with_special_tokens(snake_case__							,			snake_case__ )

			assert encoded_sentence == [1_01] + text + [1_02]
			assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]







	def        _a					(      self				:			Tuple ):
			"""simple docstring"""





			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
							A				=self.rust_tokenizer_class.from_pretrained(snake_case__							,			**snake_case__ )

							A				=f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
							A				=tokenizer_r.encode_plus(
							    snake_case__							,			return_attention_mask=snake_case__							,			return_token_type_ids=snake_case__							,			return_offsets_mapping=snake_case__							,			add_special_tokens=snake_case__							,			)

							A				=tokenizer_r.do_lower_case if hasattr(snake_case__							,			"do_lower_case" ) else False
							A				=(
							    [
							        ((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"] )







	@slow
	def        _a					(      self				:			Tuple ):
			"""simple docstring"""





			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
							A				=self.rust_tokenizer_class.from_pretrained(snake_case__							,			**snake_case__ )
							A				=self.tokenizer_class.from_pretrained(snake_case__							,			**snake_case__ )
							A				=[["Hello world!", "Nice to meet you!"], ["The cute cat.", "The adorable dog."]]

							A				=tokenizer_r.batch_encode_candidates(snake_case__							,			max_length=10							,			return_tensors="np" )
							A				=tokenizer_p.batch_encode_candidates(snake_case__							,			max_length=10							,			return_tensors="np" )

							A				=(2, 2, 10)

							self.assertEqual(encoded_sentence_r["input_ids"].shape							,			snake_case__ )
							self.assertEqual(encoded_sentence_r["attention_mask"].shape							,			snake_case__ )
							self.assertEqual(encoded_sentence_r["token_type_ids"].shape							,			snake_case__ )

							self.assertEqual(encoded_sentence_p["input_ids"].shape							,			snake_case__ )
							self.assertEqual(encoded_sentence_p["attention_mask"].shape							,			snake_case__ )
							self.assertEqual(encoded_sentence_p["token_type_ids"].shape							,			snake_case__ )






from __future__ import annotations

import math
import random

def    UpperCamelCase_ (	a_  ,				a_  ,				a_		)     ->list[int]:
		A				=d * e - 1
		A				=0
		A				=0
		while p == 0:
				A				=random.randint(2  ,				n - 1		)
				A				=k
				while True:
						if t % 2 == 0:
								A				=t // 2
								A				=(g**t) % n
								A				=math.gcd(x - 1  ,				a_		)
								if x > 1 and y > 1:
										A				=y
										A				=n // y
										break  # find the correct factors
						else:
								break  # t is not divisible by 2, break and choose another g
		return sorted([p, q]		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()




