code: def fake_dataset():
      """Create a CLAAS-like test dataset."""
      adg = xr.DataArray(
          [[1.0, 0.47, 4.5, 1.2], [0.2, 0, 1.3, 1.3]],
          dims=("lat", "lon"),
      )
      atot = xr.DataArray(
          [[0.001, 0.08, 23.4, 0.1], [2.1, 1.2, 4.7, 306.0]],
          dims=("lat", "lon"),
      )
      kd = xr.DataArray(
          [[0.8, 0.01, 5.34, 1.23], [0.4, 1.0, 3.2, 1.23]],
          dims=("lat", "lon"),
      )
      nobs = xr.DataArray(
          [[5, 118, 5, 100], [0, 15, 0, 1]],
          dims=("lat", "lon"),
          attrs={"_FillValue": 0},
      )
      nobs_filt = xr.DataArray(
          [[5, 118, 5, 100], [np.nan, 15, np.nan, 1]],
          dims=("lat", "lon"),
          attrs={"_FillValue": 0},
      )
      watcls = xr.DataArray(
          [[12.2, 0.01, 6.754, 5.33], [12.5, 101.5, 103.5, 204.0]],
          dims=("lat", "lon"),
      )
      attrs = {
          "geospatial_lon_resolution": "90",
          "geospatial_lat_resolution": "90",
          "geospatial_lon_min": -180.0,
          "geospatial_lon_max": 180.0,
          "geospatial_lat_min": -90.0,
          "geospatial_lat_max": 90.0,
          "time_coverage_start": "202108010000Z",
          "time_coverage_end": "202108312359Z",
      }
      return xr.Dataset(
          {
              "adg_490": adg,
              "water_class10": watcls,
              "SeaWiFS_nobs_sum": nobs,
              "test_nobs": nobs_filt,
              "kd_490": kd,
              "atot_665": atot,
          },
          attrs=attrs,
      )
  
imports: import os
  from datetime import datetime
  import numpy
  import pytest
  import xarray
  from pyresample.geometry import AreaDefinition
label_desc: Use image node_id 1 for calling a global function with example usage: fake_dataset() and returns: xr