

import shutil

import requests






def  UpperCamelCase_(							_snake_case     :						str ,  _snake_case     :						bool = False ,  _snake_case     :						str = "."			):




			"""simple docstring"""






			__a						   ='https://api.nasa.gov/planetary/apod'
			return requests.get(_snake_case ,  params={'api_key': api_key}			).json()






def  UpperCamelCase_(							_snake_case     :						str ,  _snake_case     :						str = "."			):




			"""simple docstring"""






			__a						   =get_apod_data(_snake_case			)
			__a						   =apod_data['url']
			__a						   =img_url.split('/'			)[-1]
			__a						   =requests.get(_snake_case ,  stream=_snake_case			)

			with open(F'{path}/{img_name}' ,  'wb+'			) as img_file:
						shutil.copyfileobj(response.raw ,  _snake_case			)
			del response
			return apod_data






def  UpperCamelCase_(							_snake_case     :						str			):




			"""simple docstring"""






			__a						   ='https://images-api.nasa.gov/search'
			return requests.get(_snake_case ,  params={'q': query}			).json()


if __name__ == "__main__":
						print(save_apod("YOUR API KEY"))
						_lowerCAmelCase      :    int						       =    get_archive_data("apollo 2011")["collection"]["items"]
						print(apollo_aaaa_items[0]["data"][0]["description"])









from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


_lowerCAmelCase      :    List[Any]						       =    [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase      :    List[str]						       =    get_logger(__name__)


_lowerCAmelCase      :    Tuple						       =    {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}






def  UpperCamelCase_(							_snake_case     :						dict			):




			"""simple docstring"""






			__a						   =task_template_dict.get('task'			)
			if task_name is None:
						logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_snake_case			)}'			)
						return None
			__a						   =NAMEaTEMPLATE.get(_snake_case			)
			return template.from_dict(_snake_case			)






