
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
UpperCAmelCase__		:     Union[str, Any]     			=      '\nHuman: <<task>>\n\nAssistant: '


UpperCAmelCase__		:     Union[str, Any]     			=      'huggingface-tools/default-prompts'
UpperCAmelCase__		:     Optional[Any]     			=      {'chat': 'chat_prompt_template.txt', 'run': 'run_prompt_template.txt'}






def   lowerCamelCase__							(					a		,		a		,		a="run"      )      ->   str:
   if prompt_or_repo_id is None:
      _A:  Optional[Any]					=       DEFAULT_PROMPTS_REPO

   # prompt is considered a repo ID when it does not contain any kind of space
   if re.search('''\\s'''		,		a      ) is not None:
      return prompt_or_repo_id

   _A:  Any					=       cached_file(
       a		,		PROMPT_FILES[mode]		,		repo_type='''dataset'''		,		user_agent={'''agent''': agent_name}      )
   with open(a		,		'''r'''		,		encoding='''utf-8'''      ) as f:
      return f.read()





from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate






@dataclass(frozen=SCREAMING_SNAKE_CASE__   )
class UpperCAmelCase   (						SCREAMING_SNAKE_CASE__   ):





   '''simple docstring'''
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   __UpperCamelCase		:    str 				=    field(default='''question-answering-extractive'''							,							metadata={'''include_in_asdict_even_if_is_default''': True}   )
   __UpperCamelCase		:    ClassVar[Features] 				=    Features({'''question''': Value('''string'''   ), '''context''': Value('''string'''   )}   )
   __UpperCamelCase		:    ClassVar[Features] 				=    Features(
       {
           '''answers''': Sequence(
               {
                   '''text''': Value('''string'''   ),
                   '''answer_start''': Value('''int32'''   ),
               }   )
       }   )
   __UpperCamelCase		:    str 				=    "question"
   __UpperCamelCase		:    str 				=    "context"
   __UpperCamelCase		:    str 				=    "answers"


   @property
   def  __magic_name__				(					self     :							List[str]     ):

      """simple docstring"""
      return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}



