


import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing

class        a	(_lowerCAmelCase   ):




							"""simple docstring"""


							def __init__(	self :						Any					,			lowerCamelCase :						Union[str, Any] = "▁"					,			lowerCamelCase :						Dict = True					,			lowerCamelCase :						Any = "<unk>"					,			lowerCamelCase :						Any = "</s>"					,			lowerCamelCase :						List[str] = "<pad>"					,			)			->					int:
														__snake_case	:    Any											=     {
														    "pad": {"id": 0, "token": pad_token},
														    "eos": {"id": 1, "token": eos_token},
														    "unk": {"id": 2, "token": unk_token},
														}

														__snake_case	:    Tuple											=     [None] * len(self.special_tokens       )
														for token_dict in self.special_tokens.values():
																					__snake_case	:    int											=     token_dict["token"]

														__snake_case	:    str											=     Tokenizer(Unigram()       )

														__snake_case	:    Union[str, Any]											=     normalizers.Sequence(
														    [
														        normalizers.Nmt(),
														        normalizers.NFKC(),
														        normalizers.Replace(Regex(" {2,}"       )					,			" "       ),
														        normalizers.Lowercase(),
														    ]       )
														__snake_case	:    List[str]											=     pre_tokenizers.Sequence(
														    [
														        pre_tokenizers.Metaspace(replacement=_lowerCAmelCase					,			add_prefix_space=_lowerCAmelCase       ),
														        pre_tokenizers.Digits(individual_digits=_lowerCAmelCase       ),
														        pre_tokenizers.Punctuation(),
														    ]       )
														__snake_case	:    Dict											=     decoders.Metaspace(replacement=_lowerCAmelCase					,			add_prefix_space=_lowerCAmelCase       )

														__snake_case	:    Dict											=     TemplateProcessing(
														    single=F'$A {self.special_tokens["eos"]["token"]}'					,			special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]					,			)

														__snake_case	:    List[str]											=     {
														    "model": "SentencePieceUnigram",
														    "replacement": replacement,
														    "add_prefix_space": add_prefix_space,
														}

														super().__init__(_lowerCAmelCase					,			_lowerCAmelCase       )

							def 					__snake_case      (	self :						Any					,			lowerCamelCase :						Union[str, Any]					,			lowerCamelCase :						Union[str, Any] = 8000					,			lowerCamelCase :						Optional[int] = True					,			)			->					Optional[int]:
														__snake_case	:    int											=     trainers.UnigramTrainer(
														    vocab_size=_lowerCAmelCase					,			special_tokens=self.special_tokens_list					,			show_progress=_lowerCAmelCase					,			)

														if isinstance(_lowerCAmelCase					,			_lowerCAmelCase       ):
																					__snake_case	:    List[str]											=     [files]
														self._tokenizer.train(_lowerCAmelCase					,			trainer=_lowerCAmelCase       )

														self.add_unk_id()

							def 					__snake_case      (	self :						Any					,			lowerCamelCase :						List[str]					,			lowerCamelCase :						str = 8000					,			lowerCamelCase :						str = True					,			)			->					List[str]:
														__snake_case	:    List[Any]											=     trainers.UnigramTrainer(
														    vocab_size=_lowerCAmelCase					,			special_tokens=self.special_tokens_list					,			show_progress=_lowerCAmelCase					,			)

														self._tokenizer.train_from_iterator(_lowerCAmelCase					,			trainer=_lowerCAmelCase       )

														self.add_unk_id()






							def 					__snake_case      (	self :						Any       )			->					Any:
														__snake_case	:    int											=     json.loads(self._tokenizer.to_str()       )

														__snake_case	:    Optional[Any]											=     self.special_tokens["unk"]["id"]

														__snake_case	:    int											=     Tokenizer.from_str(json.dumps(_lowerCAmelCase       )       )





import unittest

from transformers import DonutProcessor


_snake_case  :	Dict			      =       "naver-clova-ix/donut-base"

class        a	(unittest.TestCase   ):




							"""simple docstring"""


							def 					__snake_case      (							self :						Dict       )			->					int:
														__snake_case	:    Any											=     DonutProcessor.from_pretrained(lowerCamelCase       )






							def 					__snake_case      (							self :						str       )			->					List[Any]:
														__snake_case	:    Union[str, Any]											=     {
														    "name": "John Doe",
														    "age": "99",
														    "city": "Atlanta",
														    "state": "GA",
														    "zip": "30301",
														    "phone": "123-4567",
														    "nicknames": [{"nickname": "Johnny"}, {"nickname": "JD"}],
														}

														__snake_case	:    Union[str, Any]											=     (
														    "<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>"
														    "<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>"
														    "<s_nicknames><s_nickname>Johnny</s_nickname>"
														    "<sep/><s_nickname>JD</s_nickname></s_nicknames>"
														)
														__snake_case	:    Tuple											=     self.processor.tokenajson(lowerCamelCase       )

														self.assertDictEqual(lowerCamelCase					,			lowerCamelCase       )

