code: def _get_datasets_with_less_attributes():
      """Represent files with two resolution of variables in them (ex. OCEAN)."""
      bt = xr.DataArray(
          np.linspace(
              1830, 3930, N_SCANLINE * N_FOV * N_CHANNEL, dtype=np.int16
          ).reshape(N_SCANLINE, N_FOV, N_CHANNEL),
          attrs={
              "long_name": "Channel Temperature (K)",
              "scale_factor": 0.01,
          },
          dims=("Scanline", "Field_of_view", "Channel"),
      )
      rr = xr.DataArray(
          np.random.randint(
              100, 500, size=(N_SCANLINE, N_FOV), dtype=np.int16
          ),
          attrs={"long_name": "Rain Rate (mm/hr)", "scale_factor": 0.1},
          dims=("Scanline", "Field_of_view"),
      )
  
      sfc_type = xr.DataArray(
          np.random.randint(
              0, 4, size=(N_SCANLINE, N_FOV), dtype=np.int16
          ),
          attrs={
              "description": "type of surface:0-ocean,"
              + "1-sea ice,2-land,3-snow"
          },
          dims=("Scanline", "Field_of_view"),
      )
      latitude = xr.DataArray(
          DEFAULT_LAT.reshape(DEFAULT_2D_SHAPE),
          attrs={"long_name": "Latitude of the view (-90,90)"},
          dims=("Scanline", "Field_of_view"),
      )
      longitude = xr.DataArray(
          DEFAULT_LON.reshape(DEFAULT_2D_SHAPE),
          attrs={"long_name": "Longitude of the view (-180,180)"},
          dims=("Scanline", "Field_of_view"),
      )
  
      ds_vars = {
          "Freq": FREQ,
          "Polo": POLO,
          "BT": bt,
          "RR": rr,
          "Sfc_type": sfc_type,
          "Longitude": longitude,
          "Latitude": latitude,
      }
  
      attrs = {"missing_value": -999.0}
      ds = xr.Dataset(ds_vars, attrs=attrs)
      ds = ds.assign_coords(
          {"Freq": FREQ, "Latitude": latitude, "Longitude": longitude}
      )
      return ds
  
imports: from __future__ import annotations
  import os
  from datetime import datetime
  from unittest import mock
  import numpy
  import pytest
  import xarray
  from satpy._config import config_search_paths
  from satpy.dataset import DataID
  from satpy.readers import load_reader
  from satpy.readers.yaml_reader import FileYAMLReader
label_desc: Use image node_id 3 for calling a global function with example usage: _get_datasets_with_less_attributes() and returns: ds