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:
     _SCREAMING_SNAKE_CASE   		=			None


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE   		=			{
    """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""",
    },
}

_SCREAMING_SNAKE_CASE   		=			{
    """facebook/xglm-564M""": 2_0_4_8,
}
class SCREAMING_SNAKE_CASE_		(			__lowerCAmelCase		):
   __lowerCAmelCase											=							VOCAB_FILES_NAMES
   __lowerCAmelCase											=							PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase											=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase											=							["""input_ids""", """attention_mask"""]
   __lowerCAmelCase											=							XGLMTokenizer







   def __init__(    self	:	Union[str, Any]      ,      lowerCamelCase_	:	Dict=None      ,      lowerCamelCase_	:	str=None      ,      lowerCamelCase_	:	Optional[int]="<s>"      ,      lowerCamelCase_	:	int="</s>"      ,      lowerCamelCase_	:	List[Any]="</s>"      ,      lowerCamelCase_	:	int="<s>"      ,      lowerCamelCase_	:	Optional[Any]="<unk>"      ,      lowerCamelCase_	:	List[str]="<pad>"      ,      **lowerCamelCase_	:	List[Any]      ,      ):





    """simple docstring"""


    UpperCamelCase      =			7
    UpperCamelCase      =			[f"""<madeupword{i}>""" for i in range(self.num_madeup_words							)]

    UpperCamelCase      =			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_      ,      )

    UpperCamelCase      =			vocab_file
    UpperCamelCase      =			False if not self.vocab_file else True







   def 	lowerCamelCase_  (    self	:	Optional[int]      ,      lowerCamelCase_	:	List[int]      ,      lowerCamelCase_	:	Optional[List[int]] = None							):





    """simple docstring"""


    if token_ids_a is None:
     return [self.sep_token_id] + token_ids_a
    UpperCamelCase      =			[self.sep_token_id]
    return sep + token_ids_a + sep + sep + token_ids_a







   def 	lowerCamelCase_  (    self	:	List[Any]      ,      lowerCamelCase_	:	List[int]      ,      lowerCamelCase_	:	Optional[List[int]] = None							):





    """simple docstring"""


    UpperCamelCase      =			[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 	lowerCamelCase_  (    self	:	Optional[Any]      ,      lowerCamelCase_	:	str      ,      lowerCamelCase_	:	Optional[str] = None							):





    """simple docstring"""


    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
    UpperCamelCase      =			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 unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class SCREAMING_SNAKE_CASE_		(			unittest.TestCase     ,    __lowerCAmelCase		):







   def 	lowerCamelCase_  (    self	:	Optional[Any]							):





    """simple docstring"""


    UpperCamelCase      =			load_tool("""document-question-answering"""							)
    self.tool.setup()
    UpperCamelCase      =			load_tool("""document-question-answering"""      ,      remote=lowerCamelCase_							)







   def 	lowerCamelCase_  (    self	:	Optional[Any]							):





    """simple docstring"""


    UpperCamelCase      =			load_dataset("""hf-internal-testing/example-documents"""      ,      split="""test"""							)
    UpperCamelCase      =			dataset[0]["""image"""]

    UpperCamelCase      =			self.tool(lowerCamelCase_      ,      """When is the coffee break?"""							)
    self.assertEqual(lowerCamelCase_      ,      """11-14 to 11:39 a.m."""							)







   def 	lowerCamelCase_  (    self	:	Union[str, Any]							):





    """simple docstring"""


    UpperCamelCase      =			load_dataset("""hf-internal-testing/example-documents"""      ,      split="""test"""							)
    UpperCamelCase      =			dataset[0]["""image"""]

    UpperCamelCase      =			self.remote_tool(lowerCamelCase_      ,      """When is the coffee break?"""							)
    self.assertEqual(lowerCamelCase_      ,      """11-14 to 11:39 a.m."""							)







   def 	lowerCamelCase_  (    self	:	int							):





    """simple docstring"""


    UpperCamelCase      =			load_dataset("""hf-internal-testing/example-documents"""      ,      split="""test"""							)
    UpperCamelCase      =			dataset[0]["""image"""]

    self.tool(document=lowerCamelCase_      ,      question="""When is the coffee break?"""							)







   def 	lowerCamelCase_  (    self	:	Any							):





    """simple docstring"""


    UpperCamelCase      =			load_dataset("""hf-internal-testing/example-documents"""      ,      split="""test"""							)
    UpperCamelCase      =			dataset[0]["""image"""]

    UpperCamelCase      =			self.remote_tool(document=lowerCamelCase_      ,      question="""When is the coffee break?"""							)
    self.assertEqual(lowerCamelCase_      ,      """11-14 to 11:39 a.m."""							)
