






'''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": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
UpperCamelCase      					=111_4112

# 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      					=0Xe000
UpperCamelCase      					=0Xe001
UpperCamelCase      					=0Xe002
UpperCamelCase      					=0Xe003
UpperCamelCase      					=0Xe004

# 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     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 __a      :    List[str]			  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 def __init__(				self      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=chr(__lowerCAmelCase			)      ,  __lowerCAmelCase=False      ,  __lowerCAmelCase=20_48      ,  **__lowerCAmelCase      ,  ):
       UpperCamelCase_					: Optional[Any]            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else bos_token
       UpperCamelCase_					: List[str]            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else eos_token
       UpperCamelCase_					: Optional[Any]            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else sep_token
       UpperCamelCase_					: List[str]            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else cls_token
       UpperCamelCase_					: Dict            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       UpperCamelCase_					: Any            =				AddedToken(__lowerCAmelCase      ,  lstrip=__lowerCAmelCase      ,  rstrip=__lowerCAmelCase			) if isinstance(__lowerCAmelCase      ,  __lowerCAmelCase			) else mask_token

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

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

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

       UpperCamelCase_					: Optional[Any]            =				UNICODE_VOCAB_SIZE
       UpperCamelCase_					: Any            =				len(self._special_codepoints			)
 @property
 def 	_UpperCAmelCase							(				self			):
       return self._unicode_vocab_size
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return list(__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       try:
             return ord(__lowerCAmelCase			)
       except TypeError:
             raise ValueError(F"invalid token: '{token}'"			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       try:
             if index in SPECIAL_CODEPOINTS:
                   return SPECIAL_CODEPOINTS[index]
             return chr(__lowerCAmelCase			)
       except TypeError:
             raise ValueError(F"invalid id: {index}"			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return "".join(__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None			):
       UpperCamelCase_					: Optional[int]            =				[self.sep_token_id]
       UpperCamelCase_					: Union[str, Any]            =				[self.cls_token_id]

       UpperCamelCase_					: Union[str, Any]            =				cls + token_ids_a + sep
       if token_ids_a is not None:
             result += token_ids_a + sep
       return result
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None      ,  __lowerCAmelCase = False			):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=__lowerCAmelCase      ,  token_ids_a=__lowerCAmelCase      ,  already_has_special_tokens=__lowerCAmelCase			)

       UpperCamelCase_					: Any            =				[1] + ([0] * len(__lowerCAmelCase			)) + [1]
       if token_ids_a is not None:
             result += ([0] * len(__lowerCAmelCase			)) + [1]
       return result
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None			):
       UpperCamelCase_					: List[Any]            =				[self.sep_token_id]
       UpperCamelCase_					: Optional[int]            =				[self.cls_token_id]

       UpperCamelCase_					: Union[str, Any]            =				len(cls + token_ids_a + sep			) * [0]
       if token_ids_a is not None:
             result += len(token_ids_a + sep			) * [1]
       return result





 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase = None			):
       return ()














'''simple docstring'''

import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase      					="\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"




class      A     (   unittest.TestCase, SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				load_tool("""text-question-answering"""			)
       self.tool.setup()
       UpperCamelCase_					: List[str]            =				load_tool("""text-question-answering"""      ,  remote=__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Union[str, Any]            =				self.tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				self.remote_tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				self.tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Dict            =				self.remote_tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)






