class_docstr: Hook for connection with Dataprep API.
  
  To get connection Dataprep with Airflow you need Dataprep token.
  
  https://clouddataprep.com/documentation/api#section/Authentication
  
  It should be added to the Connection in Airflow in JSON format.
class_docstr_tok: ["Hook","for","connection","with","Dataprep","API",".","To","get","connection","Dataprep","with","Airflow","you","need","Dataprep","token",".","https",":","\/\/clouddataprep.com\/documentation\/api","#","section\/Authentication","It","should","be","added","to","the","Connection","in","Airflow","in","JSON","format","."]
docstr: Deletes imported dataset.
  
  :param dataset_id: ID of the imported dataset for removal.
docstr_tok: ["Deletes","imported","dataset",".",":","param","dataset_id",":","ID","of","the","imported","dataset","for","removal","."]
code: def delete_imported_dataset(self, *, dataset_id: int) -> None:
      """
      Deletes imported dataset.
  
      :param dataset_id: ID of the imported dataset for removal.
      """
      endpoint = f"/{self.api_version}/importedDatasets/{dataset_id}"
      url: str = urljoin(self._base_url, endpoint)
      response = requests.delete(url, headers=self._headers)
      self._raise_for_status(response)
  
imports: from __future__ import annotations
  import json
  from enum import Enum
  from typing import Any
  from urllib.parse import urljoin
  import requests
  from requests import HTTPError
  from tenacity import retry, stop_after_attempt, wait_exponential
  from airflow.hooks.base import BaseHook
label_desc: Use image node_id 16 for calling the GoogleDataprepHook obj's underlying member method code with example usage: obj.delete_imported_dataset() without return types