class_docstr: EuroSAT Dataset.
  homepage="https://github.com/phelber/eurosat",
class_docstr_tok: ["EuroSAT","Dataset",".","homepage=","''","https",":","\/\/github.com\/phelber\/eurosat","''",","]
code: def _datapipe(
      self, resource_dps: List[IterDataPipe]
  ) -> IterDataPipe[Dict[str, Any]]:
      dp = resource_dps[0]
      dp = hint_shuffling(dp)
      dp = hint_sharding(dp)
      return Mapper(dp, self._prepare_sample)
  
file_path: vision/torchvision/prototype/datasets/_builtin/eurosat.py
imports: import pathlib
  from typing import Any, Dict, List, Tuple, Union
  from torchdata.datapipes.iter import IterDataPipe, Mapper
  from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling
  from torchvision.prototype.tv_tensors import Label
  from .._api import register_dataset, register_info
label_desc: Use image node_id 4 for calling the EuroSAT obj's underlying member method code with example usage: obj._datapipe(resource_dps) and returns: Mapper