
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_xlm_roberta import XLMRobertaTokenizer
else:
				snake_case				:	Any							   =						None


snake_case				:	Union[str, Any]							   =						logging.get_logger(__name__)

snake_case				:	Any							   =						{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

snake_case				:	Optional[Any]							   =						{
    "vocab_file": {
        "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model",
        "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model",
        "xlm-roberta-large-finetuned-conll02-dutch": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model"
        ),
        "xlm-roberta-large-finetuned-conll02-spanish": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model"
        ),
        "xlm-roberta-large-finetuned-conll03-english": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model"
        ),
        "xlm-roberta-large-finetuned-conll03-german": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json",
        "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json",
        "xlm-roberta-large-finetuned-conll02-dutch": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json"
        ),
        "xlm-roberta-large-finetuned-conll02-spanish": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json"
        ),
        "xlm-roberta-large-finetuned-conll03-english": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json"
        ),
        "xlm-roberta-large-finetuned-conll03-german": (
            "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json"
        ),
    },
}

snake_case				:	Optional[int]							   =						{
    "xlm-roberta-base": 512,
    "xlm-roberta-large": 512,
    "xlm-roberta-large-finetuned-conll02-dutch": 512,
    "xlm-roberta-large-finetuned-conll02-spanish": 512,
    "xlm-roberta-large-finetuned-conll03-english": 512,
    "xlm-roberta-large-finetuned-conll03-german": 512,
}





class    _snake_case      (  snake_case       ):
			UpperCamelCase__					   =					VOCAB_FILES_NAMES
			UpperCamelCase__					   =					PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__					   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__					   =					['input_ids', 'attention_mask']
			UpperCamelCase__					   =					XLMRobertaTokenizer







			def __init__(       self		,     _a=None		,     _a=None		,     _a="<s>"		,     _a="</s>"		,     _a="</s>"		,     _a="<s>"		,     _a="<unk>"		,     _a="<pad>"		,     _a="<mask>"		,     **_a		,     ):
				# Mask token behave like a normal word, i.e. include the space before it
				__magic_name__	:	List[str]			     =  AddedToken(_a		,     lstrip=_a		,     rstrip=_a	) if isinstance(_a		,     _a	) else mask_token

				super().__init__(
				    _a		,     tokenizer_file=_a		,     bos_token=_a		,     eos_token=_a		,     sep_token=_a		,     cls_token=_a		,     unk_token=_a		,     pad_token=_a		,     mask_token=_a		,     **_a		,     )

				__magic_name__	:	Optional[int]			     =  vocab_file
				__magic_name__	:	List[str]			     =  False if not self.vocab_file else True







			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):

				if token_ids_a is None:
					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				__magic_name__	:	Union[str, Any]			     =  [self.cls_token_id]
				__magic_name__	:	str			     =  [self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep







			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):
				__magic_name__	:	List[str]			     =  [self.sep_token_id]
				__magic_name__	:	List[str]			     =  [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 + sep + token_ids_a + sep	) * [0]







			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):
				if not self.can_save_slow_tokenizer:
					raise ValueError(
					    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
					    "tokenizer."	)

				if not os.path.isdir(_a	):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''	)
					return
				__magic_name__	:	Any			     =  os.path.join(
				    _a		,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

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

				return (out_vocab_file,)


import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class    _snake_case      (  snake_case       ,		unittest.TestCase       ):
			UpperCamelCase__					   =					ElectraTokenizer
			UpperCamelCase__					   =					ElectraTokenizerFast
			UpperCamelCase__					   =					True
			UpperCamelCase__					   =					True
			UpperCamelCase__					   =					filter_non_english







			def     SCREAMING_SNAKE_CASE					(       self	):
				super().setUp()

				__magic_name__	:	Optional[Any]			     =  [
				    "[UNK]",
				    "[CLS]",
				    "[SEP]",
				    "[PAD]",
				    "[MASK]",
				    "want",
				    "##want",
				    "##ed",
				    "wa",
				    "un",
				    "runn",
				    "##ing",
				    ",",
				    "low",
				    "lowest",
				]
				__magic_name__	:	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		,     _a	):
				__magic_name__	:	Dict			     =  "UNwant\u00E9d,running"
				__magic_name__	:	int			     =  "unwanted, running"
				return input_text, output_text







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  self.tokenizer_class(self.vocab_file	)

				__magic_name__	:	Optional[int]			     =  tokenizer.tokenize("UNwant\u00E9d,running"	)
				self.assertListEqual(_a		,     ["un", "##want", "##ed", ",", "runn", "##ing"]	)
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_a	)		,     [9, 6, 7, 12, 10, 11]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				if not self.test_rust_tokenizer:
					return

				__magic_name__	:	str			     =  self.get_tokenizer()
				__magic_name__	:	Optional[int]			     =  self.get_rust_tokenizer()

				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"

				__magic_name__	:	List[Any]			     =  tokenizer.tokenize(_a	)
				__magic_name__	:	str			     =  rust_tokenizer.tokenize(_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	int			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
				__magic_name__	:	Union[str, Any]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Tuple			     =  self.get_rust_tokenizer()
				__magic_name__	:	Union[str, Any]			     =  tokenizer.encode(_a	)
				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
				self.assertListEqual(_a		,     _a	)

				# With lower casing
				__magic_name__	:	Optional[Any]			     =  self.get_tokenizer(do_lower_case=_a	)
				__magic_name__	:	Union[str, Any]			     =  self.get_rust_tokenizer(do_lower_case=_a	)

				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"

				__magic_name__	:	Optional[Any]			     =  tokenizer.tokenize(_a	)
				__magic_name__	:	List[Any]			     =  rust_tokenizer.tokenize(_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Any			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
				__magic_name__	:	List[str]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Dict			     =  self.get_rust_tokenizer()
				__magic_name__	:	Optional[int]			     =  tokenizer.encode(_a	)
				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
				self.assertListEqual(_a		,     _a	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Tuple			     =  BasicTokenizer()

				self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)		,     ["ah", "\u535A", "\u63A8", "zz"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Optional[Any]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["hello", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hällo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["h\u00E9llo"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	str			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Optional[int]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Dict			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HäLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HaLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     never_split=["[UNK]"]	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Dict			     =  ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

				__magic_name__	:	Optional[int]			     =  {}
				for i, token in enumerate(_a	):
					__magic_name__	:	Tuple			     =  i
				__magic_name__	:	Tuple			     =  WordpieceTokenizer(vocab=_a		,     unk_token="[UNK]"	)

				self.assertListEqual(tokenizer.tokenize(""	)		,     []	)

				self.assertListEqual(tokenizer.tokenize("unwanted running"	)		,     ["un", "##want", "##ed", "runn", "##ing"]	)

				self.assertListEqual(tokenizer.tokenize("unwantedX running"	)		,     ["[UNK]", "runn", "##ing"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_whitespace(" "	)	)
				self.assertTrue(_is_whitespace("\t"	)	)
				self.assertTrue(_is_whitespace("\r"	)	)
				self.assertTrue(_is_whitespace("\n"	)	)
				self.assertTrue(_is_whitespace("\u00A0"	)	)

				self.assertFalse(_is_whitespace("A"	)	)
				self.assertFalse(_is_whitespace("-"	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_control("\u0005"	)	)

				self.assertFalse(_is_control("A"	)	)
				self.assertFalse(_is_control(" "	)	)
				self.assertFalse(_is_control("\t"	)	)
				self.assertFalse(_is_control("\r"	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_punctuation("-"	)	)
				self.assertTrue(_is_punctuation("$"	)	)
				self.assertTrue(_is_punctuation("`"	)	)
				self.assertTrue(_is_punctuation("."	)	)

				self.assertFalse(_is_punctuation("A"	)	)
				self.assertFalse(_is_punctuation(" "	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	List[Any]			     =  self.get_tokenizer()
				__magic_name__	:	List[str]			     =  self.get_rust_tokenizer()

				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
				self.assertListEqual([tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)

				self.assertListEqual(
				    [rust_tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)







			@slow
			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	int			     =  self.tokenizer_class.from_pretrained("google/electra-base-discriminator"	)

				__magic_name__	:	List[Any]			     =  tokenizer.encode("sequence builders"		,     add_special_tokens=_a	)
				__magic_name__	:	List[Any]			     =  tokenizer.encode("multi-sequence build"		,     add_special_tokens=_a	)

				__magic_name__	:	Optional[int]			     =  tokenizer.build_inputs_with_special_tokens(_a	)
				__magic_name__	:	Tuple			     =  tokenizer.build_inputs_with_special_tokens(_a		,     _a	)

				assert encoded_sentence == [101] + text + [102]
				assert encoded_pair == [101] + text + [102] + text_a + [102]







			def     SCREAMING_SNAKE_CASE					(       self	):
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
						__magic_name__	:	str			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Optional[Any]			     =  f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
						__magic_name__	:	Any			     =  tokenizer_r.encode_plus(
						    _a		,     return_attention_mask=_a		,     return_token_type_ids=_a		,     return_offsets_mapping=_a		,     add_special_tokens=_a		,     )

						__magic_name__	:	Any			     =  tokenizer_r.do_lower_case if hasattr(_a		,     "do_lower_case"	) else False
						__magic_name__	:	int			     =  (
						    [
						        ((0, 0), tokenizer_r.cls_token),
						        ((0, 1), "A"),
						        ((1, 2), ","),
						        ((3, 5), "na"),
						        ((5, 6), "##ï"),
						        ((6, 8), "##ve"),
						        ((9, 15), tokenizer_r.mask_token),
						        ((16, 21), "Allen"),
						        ((21, 23), "##NL"),
						        ((23, 24), "##P"),
						        ((25, 33), "sentence"),
						        ((33, 34), "."),
						        ((0, 0), tokenizer_r.sep_token),
						    ]
						    if not do_lower_case
						    else [
						        ((0, 0), tokenizer_r.cls_token),
						        ((0, 1), "a"),
						        ((1, 2), ","),
						        ((3, 8), "naive"),
						        ((9, 15), tokenizer_r.mask_token),
						        ((16, 21), "allen"),
						        ((21, 23), "##nl"),
						        ((23, 24), "##p"),
						        ((25, 33), "sentence"),
						        ((33, 34), "."),
						        ((0, 0), tokenizer_r.sep_token),
						    ]
						)

						self.assertEqual(
						    [e[1] for e in expected_results]		,     tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]	)	)
						self.assertEqual([e[0] for e in expected_results]		,     tokens["offset_mapping"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	str			     =  ["的", "人", "有"]
				__magic_name__	:	List[str]			     =  "".join(_a	)
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
						__magic_name__	:	Optional[int]			     =  True
						__magic_name__	:	Optional[int]			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)
						__magic_name__	:	Union[str, Any]			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Tuple			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)

						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)

						# it is expected that each Chinese character is not preceded by "##"
						self.assertListEqual(_a		,     _a	)
						self.assertListEqual(_a		,     _a	)

						__magic_name__	:	Tuple			     =  False
						__magic_name__	:	Tuple			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)
						__magic_name__	:	str			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Dict			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)
						__magic_name__	:	Dict			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)

						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)

						# it is expected that only the first Chinese character is not preceded by "##".
						__magic_name__	:	Tuple			     =  [
						    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_a	)
						]
						self.assertListEqual(_a		,     _a	)
						self.assertListEqual(_a		,     _a	)
