






"""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      UpperCamelCase_			(__A							,		unittest.TestCase	):
	__magic_name__       =							LongformerTokenizer
	__magic_name__       =							True
	__magic_name__       =							LongformerTokenizerFast
	__magic_name__       =							True





	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     Any:
				super().setUp()

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

				UpperCAmelCase_	:					int     	=   os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["vocab_file"]		)
				UpperCAmelCase_	:					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(lowerCAmelCase_		) + "\n"		)
				with open(self.merges_file      ,      "w"      ,      encoding="utf-8"		) as fp:
							fp.write("\n".join(lowerCAmelCase_		)		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Any      ,      **lowerCAmelCase_   :					List[str]		)		->     List[str]:
				kwargs.update(self.special_tokens_map		)
				return self.tokenizer_class.from_pretrained(self.tmpdirname      ,      **lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]      ,      **lowerCAmelCase_   :					List[Any]		)		->     List[str]:
				kwargs.update(self.special_tokens_map		)
				return self.rust_tokenizer_class.from_pretrained(self.tmpdirname      ,      **lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple      ,      lowerCAmelCase_   :					Dict		)		->     int:
				UpperCAmelCase_	:					str     	=   "lower newer"
				UpperCAmelCase_	:					Tuple     	=   "lower newer"
				return input_text, output_text





	def 	_SCREAMING_SNAKE_CASE ( self   :					Dict		)		->     List[Any]:
				UpperCAmelCase_	:					List[str]     	=   self.tokenizer_class(self.vocab_file      ,      self.merges_file      ,      **self.special_tokens_map		)
				UpperCAmelCase_	:					int     	=   "lower newer"
				UpperCAmelCase_	:					Optional[int]     	=   ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
				UpperCAmelCase_	:					List[str]     	=   tokenizer.tokenize(lowerCAmelCase_		)  # , add_prefix_space=True)
				self.assertListEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)

				UpperCAmelCase_	:					str     	=   tokens + [tokenizer.unk_token]
				UpperCAmelCase_	:					Optional[int]     	=   [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_		)      ,      lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[Any]		)		->     Optional[Any]:
				UpperCAmelCase_	:					int     	=   self.get_tokenizer()

				self.assertListEqual(tokenizer.encode("Hello world!"      ,      add_special_tokens=lowerCAmelCase_		)      ,      [0, 31_414, 232, 328, 2]		)
				self.assertListEqual(
				    tokenizer.encode("Hello world! cécé herlolip 418"      ,      add_special_tokens=lowerCAmelCase_		)      ,      [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]      ,      )





	@slow
	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]		)		->     Optional[Any]:
				UpperCAmelCase_	:					List[Any]     	=   self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"		)

				UpperCAmelCase_	:					Union[str, Any]     	=   tokenizer.encode("sequence builders"      ,      add_special_tokens=lowerCAmelCase_		)
				UpperCAmelCase_	:					Union[str, Any]     	=   tokenizer.encode("multi-sequence build"      ,      add_special_tokens=lowerCAmelCase_		)

				UpperCAmelCase_	:					List[str]     	=   tokenizer.encode(
				    "sequence builders"      ,      add_special_tokens=lowerCAmelCase_      ,      add_prefix_space=lowerCAmelCase_		)
				UpperCAmelCase_	:					int     	=   tokenizer.encode(
				    "sequence builders"      ,      "multi-sequence build"      ,      add_special_tokens=lowerCAmelCase_      ,      add_prefix_space=lowerCAmelCase_		)

				UpperCAmelCase_	:					Tuple     	=   tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_		)
				UpperCAmelCase_	:					List[str]     	=   tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_      ,      lowerCAmelCase_		)

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode





	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     str:
				UpperCAmelCase_	:					int     	=   self.get_tokenizer()

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

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

				UpperCAmelCase_	:					Optional[Any]     	=   tokenizer.encode(lowerCAmelCase_      ,      add_special_tokens=lowerCAmelCase_      ,      add_prefix_space=lowerCAmelCase_		)
				UpperCAmelCase_	:					Dict     	=   tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
				self.assertEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)

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

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

				UpperCAmelCase_	:					Union[str, Any]     	=   "Encode <mask> sequence"
				UpperCAmelCase_	:					int     	=   "Encode <mask>sequence"

				UpperCAmelCase_	:					Dict     	=   tokenizer.encode(lowerCAmelCase_		)
				UpperCAmelCase_	:					int     	=   encoded.index(lowerCAmelCase_		)
				UpperCAmelCase_	:					List[Any]     	=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
				self.assertEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)

				UpperCAmelCase_	:					Tuple     	=   tokenizer.encode(lowerCAmelCase_		)
				UpperCAmelCase_	:					Any     	=   encoded.index(lowerCAmelCase_		)
				UpperCAmelCase_	:					List[Any]     	=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
				self.assertNotEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     List[str]:
				pass





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

										# 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"]		)      ,      )

										UpperCAmelCase_	:					str     	=   tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]		)
										UpperCAmelCase_	:					Dict     	=   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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]		)
										self.assertSequenceEqual(tokens_r["input_ids"]      ,      [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]		)

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





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple		)		->     Dict:
				for trim_offsets, add_prefix_space in itertools.product([True, False]      ,      repeat=2		):
							UpperCAmelCase_	:					List[Any]     	=   self.rust_tokenizer_class.from_pretrained(
							    self.tmpdirname      ,      use_fast=lowerCAmelCase_      ,      add_prefix_space=lowerCAmelCase_      ,      trim_offsets=lowerCAmelCase_		)

							UpperCAmelCase_	:					Tuple     	=   json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()		)
							UpperCAmelCase_	:					Any     	=   json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()		)

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

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





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     int:
				# 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})"""		):
										UpperCAmelCase_	:					Union[str, Any]     	=   "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
										UpperCAmelCase_	:					Tuple     	=   f"""{text_of_1_token} {text_of_1_token}"""

										UpperCAmelCase_	:					Tuple     	=   self.rust_tokenizer_class.from_pretrained(
										    lowerCAmelCase_      ,      use_fast=lowerCAmelCase_      ,      add_prefix_space=lowerCAmelCase_      ,      trim_offsets=lowerCAmelCase_		)
										UpperCAmelCase_	:					Tuple     	=   tokenizer_r(lowerCAmelCase_      ,      return_offsets_mapping=lowerCAmelCase_      ,      add_special_tokens=lowerCAmelCase_		)
										self.assertEqual(encoding.offset_mapping[0]      ,      (0, len(lowerCAmelCase_		))		)
										self.assertEqual(
										    encoding.offset_mapping[1]      ,      (len(lowerCAmelCase_		) + 1, len(lowerCAmelCase_		) + 1 + len(lowerCAmelCase_		))      ,      )

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

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

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

										UpperCAmelCase_	:					Any     	=   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)),
										# )

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

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

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








'''simple docstring'''





from __future__ import annotations




def lowerCAmelCase    (__A):



     """simple docstring"""



     return len(set(__A)) == len(__A)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



