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

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


if is_sentencepiece_available():
     from .tokenization_xglm import XGLMTokenizer
else:
     __magic_name__           =					None


__magic_name__           =					logging.get_logger(__name__)

__magic_name__           =					{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__magic_name__           =					{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json''',
    },
}

__magic_name__           =					{
    '''facebook/xglm-564M''': 2_048,
}




class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						Union[str, Any]      		=       VOCAB_FILES_NAMES
      _A  :						Any      		=       PRETRAINED_VOCAB_FILES_MAP
      _A  :						int      		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A  :						str      		=       ['input_ids', 'attention_mask']
      _A  :						Optional[int]      		=       XGLMTokenizer
      def __init__(     self						,		lowerCamelCase=None						,		lowerCamelCase=None						,		lowerCamelCase="<s>"						,		lowerCamelCase="</s>"						,		lowerCamelCase="</s>"						,		lowerCamelCase="<s>"						,		lowerCamelCase="<unk>"						,		lowerCamelCase="<pad>"						,		**lowerCamelCase						,		):
          # Compatibility with the original tokenizer
          snake_case__  =			7
          snake_case__  =			[F"""<madeupword{i}>""" for i in range(self.num_madeup_words	)]

          snake_case__  =			kwargs.get("additional_special_tokens"						,		[]	)
          kwargs["additional_special_tokens"] += [
              word for word in madeup_words if word not in kwargs["additional_special_tokens"]
          ]

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

          snake_case__  =			vocab_file
          snake_case__  =			False if not self.vocab_file else True
      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase = None	):

          if token_ids_a is None:
              return [self.sep_token_id] + token_ids_a
          snake_case__  =			[self.sep_token_id]
          return sep + token_ids_a + sep + sep + token_ids_a
      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase = None	):
          snake_case__  =			[self.sep_token_id]

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



      def A_     (     self						,		lowerCamelCase						,		lowerCamelCase = 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(lowerCamelCase	):
              logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""	)
              return
          snake_case__  =			os.path.join(
              lowerCamelCase						,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

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

          return (out_vocab_file,)





import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase




@require_tokenizers
class    _SCREAMING_SNAKE_CASE					( unittest.TestCase	):
      _A  :						Optional[Any]      		=       EsmTokenizer
      def A_     (     self	):
          super().setUp()
          snake_case__  =			tempfile.mkdtemp()
          # fmt: off
          snake_case__  =			["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
          # fmt: on
          snake_case__  =			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 A_     (     self						,		**lowerCamelCase	):
          return [self.get_tokenizer(**lowerCamelCase	)]
      def A_     (     self						,		**lowerCamelCase	):
          return self.tokenizer_class.from_pretrained(self.tmpdirname						,		**lowerCamelCase	)
      def A_     (     self	):
          snake_case__  =			self.tokenizer_class(self.vocab_file	)

          snake_case__  =			tokenizer.tokenize("LAGVS"	)
          self.assertListEqual(lowerCamelCase						,		["L", "A", "G", "V", "S"]	)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase	)						,		[4, 5, 6, 7, 8]	)
      def A_     (     self	):
          snake_case__  =			self.tokenizer_class(self.vocab_file	)

          snake_case__  =			"LAGVS"
          self.assertListEqual(tokenizer.encode(lowerCamelCase	)						,		[0, 4, 5, 6, 7, 8, 2]	)
      def A_     (     self	):
          snake_case__  =			self.tokenizer_class(self.vocab_file	)

          snake_case__  =			["LAGVS", "WCB"]
          snake_case__  =			tokenizer(lowerCamelCase						,		padding=lowerCamelCase	)["input_ids"]

          self.assertListEqual(lowerCamelCase						,		[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]	)
      def A_     (     self	):
          snake_case__  =			self.tokenizer_class(self.vocab_file	)

          snake_case__  =			["LAGVS", "WCB"]
          snake_case__  =			tokenizer(lowerCamelCase						,		padding=lowerCamelCase	)["input_ids"]

          self.assertListEqual(lowerCamelCase						,		[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]	)



      def A_     (     self	):
          snake_case__  =			self.get_tokenizers(fast=lowerCamelCase	)
          for tokenizer in tokenizers:
              with self.subTest(F"""{tokenizer.__class__.__name__}"""	):
                  snake_case__  =			"<unk>"
                  snake_case__  =			"<mask>"

                  snake_case__  =			tokenizer.tokenize(lowerCamelCase	)
                  snake_case__  =			tokenizer.tokenize(lowerCamelCase	)

                  self.assertEqual(len(lowerCamelCase	)						,		1	)
                  self.assertEqual(len(lowerCamelCase	)						,		1	)
                  self.assertEqual(token_a[0]						,		lowerCamelCase	)
                  self.assertEqual(token_a[0]						,		lowerCamelCase	)



