





"""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   (	lowercase_     ,							unittest.TestCase ):
					UpperCamelCase      =							LongformerTokenizer
					UpperCamelCase      =							True
					UpperCamelCase      =							LongformerTokenizerFast
					UpperCamelCase      =							True


					def 	lowerCamelCase       (					self			:Dict		):
												super().setUp()

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

												A		=  os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES["vocab_file"]		)
												A		=  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 	lowerCamelCase       (					self			:Optional[Any]     ,       **__UpperCamelCase			:Optional[Any]		):
												kwargs.update(self.special_tokens_map		)
												return self.tokenizer_class.from_pretrained(self.tmpdirname     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Union[str, Any]     ,       **__UpperCamelCase			:Optional[int]		):
												kwargs.update(self.special_tokens_map		)
												return self.rust_tokenizer_class.from_pretrained(self.tmpdirname     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:str		):
												A		=  "lower newer"
												A		=  "lower newer"
												return input_text, output_text


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

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


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.get_tokenizer()

												self.assertListEqual(tokenizer.encode("Hello world!"     ,       add_special_tokens=__UpperCamelCase		)     ,       [0, 3_14_14, 2_32, 3_28, 2]		)
												self.assertListEqual(
												    tokenizer.encode("Hello world! cécé herlolip 418"     ,       add_special_tokens=__UpperCamelCase		)     ,       [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]     ,       )


					@slow
					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"		)

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

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

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

												assert encoded_sentence == encoded_text_from_decode
												assert encoded_pair == encoded_pair_from_decode


					def 	lowerCamelCase       (					self			:List[str]		):
												A		=  self.get_tokenizer()

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

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

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

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

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

												A		=  "Encode <mask> sequence"
												A		=  "Encode <mask>sequence"

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

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


					def 	lowerCamelCase       (					self			:Union[str, Any]		):
												pass


					def 	lowerCamelCase       (					self			:Tuple		):
												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(__UpperCamelCase     ,       **__UpperCamelCase		)
																										A		=  self.tokenizer_class.from_pretrained(__UpperCamelCase     ,       **__UpperCamelCase		)
																										A		=  "A, <mask> AllenNLP sentence."
																										A		=  tokenizer_r.encode_plus(__UpperCamelCase     ,       add_special_tokens=__UpperCamelCase     ,       return_token_type_ids=__UpperCamelCase		)
																										A		=  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"]		)     ,       )

																										A		=  tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]		)
																										A		=  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_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]		)
																										self.assertSequenceEqual(tokens_r["input_ids"]     ,       [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 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 	lowerCamelCase       (					self			:Any		):
												for trim_offsets, add_prefix_space in itertools.product([True, False]     ,       repeat=2		):
																			A		=  self.rust_tokenizer_class.from_pretrained(
																			    self.tmpdirname     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)

																			A		=  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()		)
																			A		=  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 	lowerCamelCase       (					self			:Optional[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})"		):
																										A		=  "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
																										A		=  f"{text_of_1_token} {text_of_1_token}"

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  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)),
																										# )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )

																										A		=  self.rust_tokenizer_class.from_pretrained(
																										    __UpperCamelCase     ,       use_fast=__UpperCamelCase     ,       add_prefix_space=__UpperCamelCase     ,       trim_offsets=__UpperCamelCase		)
																										A		=  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		))     ,       )









"""simple docstring"""
_snake_case     :		Optional[int]       						= [
    'DownloadConfig',
    'DownloadManager',
    'DownloadMode',
    'StreamingDownloadManager',
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager


