

"""simple docstring"""

from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCamelCase		     =    logging.get_logger(__name__)


_UpperCamelCase		     =    {
    """nielsr/canine-s""": 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
_UpperCamelCase		     =    1_1_1_4_1_1_2

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_UpperCamelCase		     =    0

_UpperCamelCase		     =    0xE0_00
_UpperCamelCase		     =    0xE0_01
_UpperCamelCase		     =    0xE0_02
_UpperCamelCase		     =    0xE0_03
_UpperCamelCase		     =    0xE0_04

# Maps special codepoints to human-readable names.
_UpperCamelCase		     =    {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_UpperCamelCase		     =    {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       __UpperCamelCase					:      List[Any]    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






       def __init__(   self			,					snake_case=chr(snake_case   )			,					snake_case=chr(snake_case   )			,					snake_case=chr(snake_case   )			,					snake_case=chr(snake_case   )			,					snake_case=chr(snake_case   )			,					snake_case=chr(snake_case   )			,					snake_case=False			,					snake_case=2_048			,					**snake_case			,					):





        """simple docstring"""

        lowerCAmelCase__   :				int 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else bos_token
        lowerCAmelCase__   :				Union[str, Any] 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else eos_token
        lowerCAmelCase__   :				List[str] 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else sep_token
        lowerCAmelCase__   :				Tuple 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else cls_token
        lowerCAmelCase__   :				Tuple 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        lowerCAmelCase__   :				Optional[int] 			=				AddedToken(snake_case			,					lstrip=snake_case			,					rstrip=snake_case   ) if isinstance(snake_case			,					snake_case   ) else mask_token

        super().__init__(
            bos_token=snake_case			,					eos_token=snake_case			,					sep_token=snake_case			,					cls_token=snake_case			,					pad_token=snake_case			,					mask_token=snake_case			,					add_prefix_space=snake_case			,					model_max_length=snake_case			,					**snake_case			,					)

        # Creates a mapping for looking up the IDs of special symbols.
        lowerCAmelCase__   :				Dict[str, int] 			=				{}
        for codepoint, name in SPECIAL_CODEPOINTS.items():
         lowerCAmelCase__   :				Union[str, Any] 			=				codepoint

        # Creates a mapping for looking up the string forms of special symbol IDs.
        lowerCAmelCase__   :				Dict[int, str] 			=				{
            codepoint: name for name, codepoint in self._special_codepoints.items()
        }

        lowerCAmelCase__   :				List[str] 			=				UNICODE_VOCAB_SIZE
        lowerCAmelCase__   :				Any 			=				len(self._special_codepoints   )






       @property
       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        return self._unicode_vocab_size






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        return list(snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        try:
         return ord(snake_case   )
        except TypeError:
         raise ValueError(F"""invalid token: '{token}'"""   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        try:
         if index in SPECIAL_CODEPOINTS:
          return SPECIAL_CODEPOINTS[index]
         return chr(snake_case   )
        except TypeError:
         raise ValueError(F"""invalid id: {index}"""   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        return "".join(snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case = None   ):





        """simple docstring"""

        lowerCAmelCase__   :				List[Any] 			=				[self.sep_token_id]
        lowerCAmelCase__   :				str 			=				[self.cls_token_id]

        lowerCAmelCase__   :				Dict 			=				cls + token_ids_a + sep
        if token_ids_a is not None:
         result += token_ids_a + sep
        return result






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case = None			,					snake_case = False   ):





        """simple docstring"""

        if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=snake_case			,					token_ids_a=snake_case			,					already_has_special_tokens=snake_case   )

        lowerCAmelCase__   :				Any 			=				[1] + ([0] * len(snake_case   )) + [1]
        if token_ids_a is not None:
         result += ([0] * len(snake_case   )) + [1]
        return result






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case = None   ):





        """simple docstring"""

        lowerCAmelCase__   :				int 			=				[self.sep_token_id]
        lowerCAmelCase__   :				List[Any] 			=				[self.cls_token_id]

        lowerCAmelCase__   :				Tuple 			=				len(cls + token_ids_a + sep   ) * [0]
        if token_ids_a is not None:
         result += len(token_ids_a + sep   ) * [1]
        return result






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case = None   ):





        """simple docstring"""

        return ()









"""simple docstring"""

import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__a					(						__magic_name__       ,	unittest.TestCase       ):





       """simple docstring"""


       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizer
       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizerFast
       __UpperCamelCase					:      str    =						True
       __UpperCamelCase					:      Any    =						True






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        super().setUp()

        lowerCAmelCase__   :				Tuple 			=				[
            "[UNK]",
            "[CLS]",
            "[SEP]",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        lowerCAmelCase__   :				Dict 			=				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			,					snake_case   ):





        """simple docstring"""

        lowerCAmelCase__   :				List[Any] 			=				"UNwant\u00E9d,running"
        lowerCAmelCase__   :				Union[str, Any] 			=				"unwanted, running"
        return input_text, output_text






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				str 			=				self.tokenizer_class(self.vocab_file   )

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






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        if not self.test_rust_tokenizer:
         return

        lowerCAmelCase__   :				int 			=				self.get_tokenizer()
        lowerCAmelCase__   :				List[str] 			=				self.get_rust_tokenizer()

        lowerCAmelCase__   :				Optional[Any] 			=				"I was born in 92000, and this is falsé."

        lowerCAmelCase__   :				int 			=				tokenizer.tokenize(snake_case   )
        lowerCAmelCase__   :				int 			=				rust_tokenizer.tokenize(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				str 			=				tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        lowerCAmelCase__   :				List[str] 			=				rust_tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				Tuple 			=				self.get_rust_tokenizer()
        lowerCAmelCase__   :				Tuple 			=				tokenizer.encode(snake_case   )
        lowerCAmelCase__   :				List[Any] 			=				rust_tokenizer.encode(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )






