
"""simple docstring"""


from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


SCREAMING_SNAKE_CASE      =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE      =     {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE      =     {
    """vocab_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"""
    },
}

SCREAMING_SNAKE_CASE      =     {"""allegro/herbert-base-cased""": 514}
SCREAMING_SNAKE_CASE      =     {}



class   __a  (      _lowerCAmelCase	):
       UpperCamelCase_		:					List[str]   =			VOCAB_FILES_NAMES
       UpperCamelCase_		:					Any   =			PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase_		:					List[Any]   =			PRETRAINED_INIT_CONFIGURATION
       UpperCamelCase_		:					List[str]   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase_		:					str   =			HerbertTokenizer






       def __init__(  self :							Tuple       ,      UpperCAmelCase_ :							Any=None       ,      UpperCAmelCase_ :							Optional[int]=None       ,      UpperCAmelCase_ :							Dict=None       ,      UpperCAmelCase_ :							List[Any]="<s>"       ,      UpperCAmelCase_ :							Dict="<unk>"       ,      UpperCAmelCase_ :							Optional[Any]="<pad>"       ,      UpperCAmelCase_ :							Tuple="<mask>"       ,      UpperCAmelCase_ :							Tuple="</s>"       ,      **UpperCAmelCase_ :							Tuple       ,      )->  int:







              """simple docstring"""
              super().__init__(
                  UpperCAmelCase_       ,      UpperCAmelCase_       ,      tokenizer_file=UpperCAmelCase_       ,      cls_token=UpperCAmelCase_       ,      unk_token=UpperCAmelCase_       ,      pad_token=UpperCAmelCase_       ,      mask_token=UpperCAmelCase_       ,      sep_token=UpperCAmelCase_       ,      **UpperCAmelCase_       ,      )






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							Optional[List[int]] = None			)->  List[int]:







              """simple docstring"""
              UpperCamelCase					 =		[self.cls_token_id]
              UpperCamelCase					 =		[self.sep_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 	_SCREAMING_SNAKE_CASE       (  self :							Tuple       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							Optional[List[int]] = None       ,      UpperCAmelCase_ :							bool = False			)->  List[int]:







              """simple docstring"""
              if already_has_special_tokens:
                     return super().get_special_tokens_mask(
                         token_ids_a=UpperCAmelCase_       ,      token_ids_a=UpperCAmelCase_       ,      already_has_special_tokens=UpperCAmelCase_			)

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






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[str]       ,      UpperCAmelCase_ :							List[int]       ,      UpperCAmelCase_ :							Optional[List[int]] = None			)->  List[int]:







              """simple docstring"""
              UpperCamelCase					 =		[self.sep_token_id]
              UpperCamelCase					 =		[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 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]       ,      UpperCAmelCase_ :							str       ,      UpperCAmelCase_ :							Optional[str] = None			)->  Tuple[str]:







              """simple docstring"""
              UpperCamelCase					 =		self._tokenizer.model.save(UpperCAmelCase_       ,      name=UpperCAmelCase_			)
              return tuple(UpperCAmelCase_			)







"""simple docstring"""


import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class   __a  (      _lowerCAmelCase    ,     unittest.TestCase	):
       UpperCamelCase_		:					str   =			FunnelTokenizer
       UpperCamelCase_		:					Any   =			FunnelTokenizerFast
       UpperCamelCase_		:					Union[str, Any]   =			True
       UpperCamelCase_		:					Tuple   =			True






       def 	_SCREAMING_SNAKE_CASE       (  self :							Tuple			)->  Optional[int]:







              """simple docstring"""
              super().setUp()

              UpperCamelCase					 =		[
                  "<unk>",
                  "<cls>",
                  "<sep>",
                  "want",
                  "##want",
                  "##ed",
                  "wa",
                  "un",
                  "runn",
                  "##ing",
                  ",",
                  "low",
                  "lowest",
              ]
              UpperCamelCase					 =		os.path.join(self.tmpdirname       ,      VOCAB_FILES_NAMES["vocab_file"]			)
              with open(self.vocab_file       ,      "w"       ,      encoding="utf-8"			) as vocab_writer:
                     vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]       ,      **UpperCAmelCase_ :							Optional[Any]			)->  str:







              """simple docstring"""
              return FunnelTokenizer.from_pretrained(self.tmpdirname       ,      **UpperCAmelCase_			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Dict       ,      **UpperCAmelCase_ :							Any			)->  Union[str, Any]:







              """simple docstring"""
              return FunnelTokenizerFast.from_pretrained(self.tmpdirname       ,      **UpperCAmelCase_			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Dict       ,      UpperCAmelCase_ :							Tuple			)->  str:







              """simple docstring"""
              UpperCamelCase					 =		"UNwant\u00E9d,running"
              UpperCamelCase					 =		"unwanted, running"
              return input_text, output_text






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







              """simple docstring"""
              UpperCamelCase					 =		self.tokenizer_class(self.vocab_file			)

              UpperCamelCase					 =		tokenizer.tokenize("UNwant\u00E9d,running"			)
              self.assertListEqual(UpperCAmelCase_       ,      ["un", "##want", "##ed", ",", "runn", "##ing"]			)
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_			)       ,      [7, 4, 5, 10, 8, 9]			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]			)->  Optional[int]:







              """simple docstring"""
              UpperCamelCase					 =		self.get_tokenizers(do_lower_case=UpperCAmelCase_			)
              for tokenizer in tokenizers:
                     UpperCamelCase					 =		tokenizer("UNwant\u00E9d,running"			)
                     UpperCamelCase					 =		len(inputs["input_ids"]			) - 1
                     self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len			)

                     UpperCamelCase					 =		tokenizer("UNwant\u00E9d,running"       ,      "UNwant\u00E9d,running"			)
                     self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len + [1] * sentence_len			)





