
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   (      __a   , unittest.TestCase			):
				_lowercase     						=LongformerTokenizer
				_lowercase     						=True
				_lowercase     						=LongformerTokenizerFast
				_lowercase     						=True




				def 	__a		(   self	)							-> Optional[int]:
							super().setUp()

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

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




				def 	__a		(   self							,							**_UpperCamelCase	)							-> Any:
							kwargs.update(self.special_tokens_map	)
							return self.tokenizer_class.from_pretrained(self.tmpdirname							,							**_UpperCamelCase	)




				def 	__a		(   self							,							**_UpperCamelCase	)							-> Any:
							kwargs.update(self.special_tokens_map	)
							return self.rust_tokenizer_class.from_pretrained(self.tmpdirname							,							**_UpperCamelCase	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> str:
							lowerCAmelCase_         =      "lower newer"
							lowerCAmelCase_         =      "lower newer"
							return input_text, output_text




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

							lowerCAmelCase_         =      tokens + [tokenizer.unk_token]
							lowerCAmelCase_         =      [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase	)							,							_UpperCamelCase	)




				def 	__a		(   self	)							-> Optional[Any]:
							lowerCAmelCase_         =      self.get_tokenizer()

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




				@slow
				def 	__a		(   self	)							-> Dict:
							lowerCAmelCase_         =      self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"	)

							lowerCAmelCase_         =      tokenizer.encode("sequence builders"							,							add_special_tokens=_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.encode("multi-sequence build"							,							add_special_tokens=_UpperCamelCase	)

							lowerCAmelCase_         =      tokenizer.encode(
							    "sequence builders"							,							add_special_tokens=_UpperCamelCase							,							add_prefix_space=_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.encode(
							    "sequence builders"							,							"multi-sequence build"							,							add_special_tokens=_UpperCamelCase							,							add_prefix_space=_UpperCamelCase	)

							lowerCAmelCase_         =      tokenizer.build_inputs_with_special_tokens(_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.build_inputs_with_special_tokens(_UpperCamelCase							,							_UpperCamelCase	)

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode




				def 	__a		(   self	)							-> List[Any]:
							lowerCAmelCase_         =      self.get_tokenizer()

							lowerCAmelCase_         =      "Encode this sequence."
							lowerCAmelCase_         =      tokenizer.byte_encoder[" ".encode("utf-8"	)[0]]

							# Testing encoder arguments
							lowerCAmelCase_         =      tokenizer.encode(_UpperCamelCase							,							add_special_tokens=_UpperCamelCase							,							add_prefix_space=_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
							self.assertNotEqual(_UpperCamelCase							,							_UpperCamelCase	)

							lowerCAmelCase_         =      tokenizer.encode(_UpperCamelCase							,							add_special_tokens=_UpperCamelCase							,							add_prefix_space=_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
							self.assertEqual(_UpperCamelCase							,							_UpperCamelCase	)

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

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

							lowerCAmelCase_         =      "Encode <mask> sequence"
							lowerCAmelCase_         =      "Encode <mask>sequence"

							lowerCAmelCase_         =      tokenizer.encode(_UpperCamelCase	)
							lowerCAmelCase_         =      encoded.index(_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
							self.assertEqual(_UpperCamelCase							,							_UpperCamelCase	)

							lowerCAmelCase_         =      tokenizer.encode(_UpperCamelCase	)
							lowerCAmelCase_         =      encoded.index(_UpperCamelCase	)
							lowerCAmelCase_         =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
							self.assertNotEqual(_UpperCamelCase							,							_UpperCamelCase	)




				def 	__a		(   self	)							-> Optional[Any]:
							pass




				def 	__a		(   self	)							-> Any:
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
													lowerCAmelCase_         =      self.rust_tokenizer_class.from_pretrained(_UpperCamelCase							,							**_UpperCamelCase	)
													lowerCAmelCase_         =      self.tokenizer_class.from_pretrained(_UpperCamelCase							,							**_UpperCamelCase	)
													lowerCAmelCase_         =      "A, <mask> AllenNLP sentence."
													lowerCAmelCase_         =      tokenizer_r.encode_plus(_UpperCamelCase							,							add_special_tokens=_UpperCamelCase							,							return_token_type_ids=_UpperCamelCase	)
													lowerCAmelCase_         =      tokenizer_p.encode_plus(_UpperCamelCase							,							add_special_tokens=_UpperCamelCase							,							return_token_type_ids=_UpperCamelCase	)

													# 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_         =      tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]	)
													lowerCAmelCase_         =      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(
													    _UpperCamelCase							,							["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]	)
													self.assertSequenceEqual(
													    _UpperCamelCase							,							["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]	)




				def 	__a		(   self	)							-> Optional[Any]:
							for trim_offsets, add_prefix_space in itertools.product([True, False]							,							repeat=2	):
										lowerCAmelCase_         =      self.rust_tokenizer_class.from_pretrained(
										    self.tmpdirname							,							use_fast=_UpperCamelCase							,							add_prefix_space=_UpperCamelCase							,							trim_offsets=_UpperCamelCase	)

										lowerCAmelCase_         =      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
										lowerCAmelCase_         =      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()	)

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

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




				def 	__a		(   self	)							-> Tuple:
							# 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_         =      "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
													lowerCAmelCase_         =      f"""{text_of_1_token} {text_of_1_token}"""

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

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

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

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

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

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

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





from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version






def   lowerCamelCase__							(							__lowerCAmelCase    :    str       ,				__lowerCAmelCase    :    str       ,				__lowerCAmelCase    :    Optional[str] = None							):




			"""simple docstring"""


			if version.parse(hfh.__version__							).release < version.parse("0.11.0"							).release:
						# old versions of hfh don't url-encode the file path
						lowerCAmelCase_         =      quote(__lowerCAmelCase							)
			return hfh.hf_hub_url(__lowerCAmelCase       ,				__lowerCAmelCase       ,				repo_type="dataset"       ,				revision=__lowerCAmelCase							)



