






import shutil

import requests






def     A(  snake_case_						,       snake_case_ = False						,       snake_case_ = "."		):
       """simple docstring"""





       lowercase__:    List[str]        =      "https://api.nasa.gov/planetary/apod"
       return requests.get(snake_case_						,       params={"api_key": api_key}		).json()






def     A(  snake_case_						,       snake_case_ = "."		):
       """simple docstring"""





       lowercase__:    Union[str, Any]        =      get_apod_data(snake_case_		)
       lowercase__:    List[Any]        =      apod_data["url"]
       lowercase__:    int        =      img_url.split("/"		)[-1]
       lowercase__:    Optional[int]        =      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     A(  snake_case_		):
       """simple docstring"""





       lowercase__:    int        =      "https://images-api.nasa.gov/search"
       return requests.get(snake_case_						,       params={"q": query}		).json()


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














"""simple docstring"""





# 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.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase			=      {
    """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
    """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase			=      ["""DocumentQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageCaptioningTool"""]
  UpperCamelCase			=      ["""ImageQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageSegmentationTool"""]
  UpperCamelCase			=      ["""SpeechToTextTool"""]
  UpperCamelCase			=      ["""TextClassificationTool"""]
  UpperCamelCase			=      ["""TextQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""TextSummarizationTool"""]
  UpperCamelCase			=      ["""TextToSpeechTool"""]
  UpperCamelCase			=      ["""TranslationTool"""]

if TYPE_CHECKING:
  from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
  from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .document_question_answering import DocumentQuestionAnsweringTool
    from .image_captioning import ImageCaptioningTool
    from .image_question_answering import ImageQuestionAnsweringTool
    from .image_segmentation import ImageSegmentationTool
    from .speech_to_text import SpeechToTextTool
    from .text_classification import TextClassificationTool
    from .text_question_answering import TextQuestionAnsweringTool
    from .text_summarization import TextSummarizationTool
    from .text_to_speech import TextToSpeechTool
    from .translation import TranslationTool
else:
  import sys

  UpperCamelCase			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






