




"""simple docstring"""







import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




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


    """simple docstring"""





    __UpperCAmelCase :     List[Any]       =      LongformerTokenizer
    __UpperCAmelCase :     Optional[Any]       =      True
    __UpperCAmelCase :     List[str]       =      LongformerTokenizerFast
    __UpperCAmelCase :     Optional[Any]       =      True



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

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

      __lowercase				:		Union[str, Any]												=				os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES["vocab_file"]						)
      __lowercase				:		Union[str, 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       snake_case    (     self					:	Tuple    ,   **lowercase__					:	str						):
      kwargs.update(self.special_tokens_map						)
      return self.tokenizer_class.from_pretrained(self.tmpdirname    ,   **lowercase__						)



    def       snake_case    (     self					:	Optional[Any]    ,   **lowercase__					:	Optional[Any]						):
      kwargs.update(self.special_tokens_map						)
      return self.rust_tokenizer_class.from_pretrained(self.tmpdirname    ,   **lowercase__						)



    def       snake_case    (     self					:	str    ,   lowercase__					:	int						):
      __lowercase				:		List[str]												=				"lower newer"
      __lowercase				:		str												=				"lower newer"
      return input_text, output_text



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

      __lowercase				:		Union[str, Any]												=				tokens + [tokenizer.unk_token]
      __lowercase				:		int												=				[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__						)    ,   lowercase__						)



    def       snake_case    (     self					:	Optional[int]						):
      __lowercase				:		List[Any]												=				self.get_tokenizer()

      self.assertListEqual(tokenizer.encode("Hello world!"    ,   add_special_tokens=lowercase__						)    ,   [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]						)
      self.assertListEqual(
          tokenizer.encode("Hello world! cécé herlolip 418"    ,   add_special_tokens=lowercase__						)    ,   [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]    ,   )



    @slow
    def       snake_case    (     self					:	Optional[Any]						):
      __lowercase				:		Tuple												=				self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"						)

      __lowercase				:		Optional[Any]												=				tokenizer.encode("sequence builders"    ,   add_special_tokens=lowercase__						)
      __lowercase				:		str												=				tokenizer.encode("multi-sequence build"    ,   add_special_tokens=lowercase__						)

      __lowercase				:		Optional[Any]												=				tokenizer.encode(
          "sequence builders"    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
      __lowercase				:		int												=				tokenizer.encode(
          "sequence builders"    ,   "multi-sequence build"    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)

      __lowercase				:		Any												=				tokenizer.build_inputs_with_special_tokens(lowercase__						)
      __lowercase				:		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       snake_case    (     self					:	str						):
      __lowercase				:		Optional[int]												=				self.get_tokenizer()

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

      # Testing encoder arguments
      __lowercase				:		Tuple												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
      __lowercase				:		Union[str, Any]												=				tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
      self.assertNotEqual(lowercase__    ,   lowercase__						)

      __lowercase				:		str												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
      __lowercase				:		Dict												=				tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
      self.assertEqual(lowercase__    ,   lowercase__						)

      tokenizer.add_special_tokens({"bos_token": "<s>"}						)
      __lowercase				:		Tuple												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__						)
      __lowercase				:		List[str]												=				tokenizer.convert_ids_to_tokens(encoded[1]						)[0]
      self.assertNotEqual(lowercase__    ,   lowercase__						)

      # Testing spaces after special tokens
      __lowercase				:		Optional[Any]												=				"<mask>"
      tokenizer.add_special_tokens(
          {"mask_token": AddedToken(lowercase__    ,   lstrip=lowercase__    ,   rstrip=lowercase__						)}						)  # mask token has a left space
      __lowercase				:		Dict												=				tokenizer.convert_tokens_to_ids(lowercase__						)

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

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

      __lowercase				:		Dict												=				tokenizer.encode(lowercase__						)
      __lowercase				:		Union[str, Any]												=				encoded.index(lowercase__						)
      __lowercase				:		Tuple												=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
      self.assertNotEqual(lowercase__    ,   lowercase__						)



    def       snake_case    (     self					:	str						):
      pass



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

          __lowercase				:		Dict												=				tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
          __lowercase				:		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, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]						)
          self.assertSequenceEqual(tokens_r["input_ids"]    ,   [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 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       snake_case    (     self					:	Optional[int]						):
      for trim_offsets, add_prefix_space in itertools.product([True, False]    ,   repeat=2						):
        __lowercase				:		Optional[Any]												=				self.rust_tokenizer_class.from_pretrained(
            self.tmpdirname    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)

        __lowercase				:		int												=				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
        __lowercase				:		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       snake_case    (     self					:	List[Any]						):
      # 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})'						):
          __lowercase				:		List[str]												=				"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
          __lowercase				:		int												=				f'{text_of_1_token} {text_of_1_token}'

          __lowercase				:		List[Any]												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		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__						))    ,   )

          __lowercase				:		str												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		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__						))    ,   )

          __lowercase				:		Dict												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		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__						))    ,   )

          __lowercase				:		str												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		Optional[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__						), len(lowercase__						) + 1 + len(lowercase__						))    ,   )

          __lowercase				:		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)),
          # )

          __lowercase				:		Optional[int]												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		str												=				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__						))    ,   )

          __lowercase				:		Optional[Any]												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		List[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__						))    ,   )

          __lowercase				:		List[Any]												=				self.rust_tokenizer_class.from_pretrained(
              lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
          __lowercase				:		List[str]												=				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__						))    ,   )






"""simple docstring"""







def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->int:






		"""simple docstring"""


		return abs(_lowerCamelCase				) if a == 0 else greatest_common_divisor(b % a,  _lowerCamelCase				)

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->int:






		"""simple docstring"""


		while y:  # --> when y=0 then loop will terminate and return x as final GCD.
				__lowercase						,__lowercase				:		Any												=				y, x % y
		return abs(_lowerCamelCase				)

def 						snake_case__       (					)			->Optional[int]:






		"""simple docstring"""


		try:
				__lowercase				:		Optional[int]												=				input("Enter two integers separated by comma (,): "				).split(","				)
				__lowercase				:		Optional[Any]												=				int(nums[0]				)
				__lowercase				:		str												=				int(nums[1]				)
				print(
				    F'greatest_common_divisor({num_a}, {num_a}) = '
				    F'{greatest_common_divisor(_lowerCamelCase,  _lowerCamelCase				)}'				)
				print(F'By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(_lowerCamelCase,  _lowerCamelCase				)}'				)
		except (IndexError, UnboundLocalError, ValueError):
				print("Wrong input"				)


if __name__ == "__main__":
						main()
