






"""simple docstring"""







import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      UpperCamelCase		(__snake_case						,						unittest.TestCase     ):
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		MgpstrTokenizer
						_SCREAMING_SNAKE_CASE  : Optional[Any]												=		False
						_SCREAMING_SNAKE_CASE  : str												=		{}
						_SCREAMING_SNAKE_CASE  : int												=		False






						def      __snake_case      (		self  :Union[str, Any]				)      ->Optional[int]:
										super().setUp()

										# fmt: off
										lowercase    :      str       = ["""[GO]""", """[s]""", """0""", """1""", """2""", """3""", """4""", """5""", """6""", """7""", """8""", """9""", """a""", """b""", """c""", """d""", """e""", """f""", """g""", """h""", """i""", """j""", """k""", """l""", """m""", """n""", """o""", """p""", """q""", """r""", """s""", """t""", """u""", """v""", """w""", """x""", """y""", """z"""]
										# fmt: on
										lowercase    :      str       = dict(zip(__magic_name__			, range(len(__magic_name__				)				)				)				)

										lowercase    :      List[Any]       = os.path.join(self.tmpdirname			, VOCAB_FILES_NAMES["""vocab_file"""]				)
										with open(self.vocab_file			, """w"""			, encoding="""utf-8"""				) as fp:
														fp.write(json.dumps(__magic_name__				) + """\n"""				)






						def      __snake_case      (		self  :Union[str, Any]			, **__magic_name__  :Tuple				)      ->int:
										return MgpstrTokenizer.from_pretrained(self.tmpdirname			, **__magic_name__				)






						def      __snake_case      (		self  :Dict			, __magic_name__  :Union[str, Any]				)      ->Optional[Any]:
										lowercase    :      Union[str, Any]       = """tester"""
										lowercase    :      Optional[Any]       = """tester"""
										return input_text, output_text






						@unittest.skip("""MGP-STR always lower cases letters."""				)
						def      __snake_case      (		self  :Optional[int]				)      ->Union[str, Any]:
										pass






						def      __snake_case      (		self  :List[Any]				)      ->int:
										lowercase    :      Union[str, Any]       = self.get_tokenizers(do_lower_case=__magic_name__				)
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
																		lowercase    :      Optional[int]       = """[SPECIAL_TOKEN]"""

																		tokenizer.add_special_tokens({"""cls_token""": special_token}				)
																		lowercase    :      str       = tokenizer.encode([special_token]			, add_special_tokens=__magic_name__				)
																		self.assertEqual(len(__magic_name__				)			, 1				)

																		lowercase    :      Dict       = tokenizer.decode(__magic_name__			, skip_special_tokens=__magic_name__				)
																		self.assertTrue(special_token not in decoded				)






						def      __snake_case      (		self  :Optional[int]				)      ->str:
										lowercase    :      List[str]       = self.get_tokenizers()
										for tokenizer in tokenizers:
														with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
																		lowercase      ,      lowercase    :      List[str]       = self.get_input_output_texts(__magic_name__				)

																		lowercase    :      Tuple       = tokenizer.tokenize(__magic_name__				)
																		lowercase    :      Optional[Any]       = tokenizer.convert_tokens_to_ids(__magic_name__				)
																		lowercase    :      str       = tokenizer.encode(__magic_name__			, add_special_tokens=__magic_name__				)
																		self.assertListEqual(__magic_name__			, __magic_name__				)

																		lowercase    :      str       = tokenizer.convert_ids_to_tokens(__magic_name__				)
																		self.assertNotEqual(len(__magic_name__				)			, 0				)
																		lowercase    :      List[str]       = tokenizer.decode(__magic_name__				)
																		self.assertIsInstance(__magic_name__			, __magic_name__				)

																		self.assertEqual(text_a.replace(""" """			, """"""				)			, __magic_name__				)






						@unittest.skip("""MGP-STR tokenizer only handles one sequence."""				)
						def      __snake_case      (		self  :int				)      ->Any:
										pass






						@unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer"""				)
						def      __snake_case      (		self  :Optional[Any]				)      ->List[Any]:
										pass








"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
				from .tokenization_fnet import FNetTokenizer
else:
				_lowerCAmelCase            =	None

_lowerCAmelCase            =	logging.get_logger(__name__)
_lowerCAmelCase            =	{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

_lowerCAmelCase            =	{
    'vocab_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/spiece.model',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json',
    },
}

_lowerCAmelCase            =	{
    'google/fnet-base': 5_12,
    'google/fnet-large': 5_12,
}

_lowerCAmelCase            =	'▁'


class      UpperCamelCase		(__snake_case     ):
						_SCREAMING_SNAKE_CASE  : Dict												=		VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE  : Optional[Any]												=		PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE  : Optional[Any]												=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE  : Optional[Any]												=		["""input_ids""", """token_type_ids"""]
						_SCREAMING_SNAKE_CASE  : Union[str, Any]												=		FNetTokenizer






						def __init__(		self  :Optional[Any]			, __magic_name__  :Union[str, Any]=None			, __magic_name__  :Any=None			, __magic_name__  :List[str]=False			, __magic_name__  :Any=True			, __magic_name__  :Any=True			, __magic_name__  :Union[str, Any]="<unk>"			, __magic_name__  :List[Any]="[SEP]"			, __magic_name__  :Union[str, Any]="<pad>"			, __magic_name__  :Tuple="[CLS]"			, __magic_name__  :Optional[int]="[MASK]"			, **__magic_name__  :Optional[int]			, )      ->Tuple:
										# Mask token behave like a normal word, i.e. include the space before it and
										# is included in the raw text, there should be a match in a non-normalized sentence.
										lowercase    :      Union[str, Any]       = (
										    AddedToken(__magic_name__			, lstrip=__magic_name__			, rstrip=__magic_name__			, normalized=__magic_name__				)
										    if isinstance(__magic_name__			, __magic_name__				)
										    else mask_token
										)

										super().__init__(
										    __magic_name__			, tokenizer_file=__magic_name__			, do_lower_case=__magic_name__			, remove_space=__magic_name__			, keep_accents=__magic_name__			, unk_token=__magic_name__			, sep_token=__magic_name__			, pad_token=__magic_name__			, cls_token=__magic_name__			, mask_token=__magic_name__			, **__magic_name__			, )

										lowercase    :      Tuple       = do_lower_case
										lowercase    :      Tuple       = remove_space
										lowercase    :      List[str]       = keep_accents
										lowercase    :      Union[str, Any]       = vocab_file
										lowercase    :      int       = False if not self.vocab_file else True






						def      __snake_case      (		self  :Any			, __magic_name__  :List[int]			, __magic_name__  :Optional[List[int]] = None				)      ->List[int]:
										lowercase    :      List[str]       = [self.sep_token_id]
										lowercase    :      Any       = [self.cls_token_id]
										if token_ids_a is None:
														return cls + token_ids_a + sep
										return cls + token_ids_a + sep + token_ids_a + sep






						def      __snake_case      (		self  :int			, __magic_name__  :List[int]			, __magic_name__  :Optional[List[int]] = None				)      ->List[int]:
										lowercase    :      Tuple       = [self.sep_token_id]
										lowercase    :      Union[str, Any]       = [self.cls_token_id]

										if token_ids_a is None:
														return len(cls + token_ids_a + sep				) * [0]
										return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]






						def      __snake_case      (		self  :int			, __magic_name__  :str			, __magic_name__  :Optional[str] = None				)      ->Tuple[str]:
										if not os.path.isdir(__magic_name__				):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
														return
										lowercase    :      str       = os.path.join(
										    __magic_name__			, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

										if os.path.abspath(self.vocab_file				) != os.path.abspath(__magic_name__				):
														copyfile(self.vocab_file			, __magic_name__				)

										return (out_vocab_file,)
