class_docstr: Test the FciL2NCFileHandler reader.
class_docstr_tok: ["Test","the","FciL2NCFileHandler","reader","."]
docstr: Set up the test by creating a test file and opening it with the reader.
docstr_tok: ["Set","up","the","test","by","creating","a","test","file","and","opening","it","with","the","reader","."]
code: def setUp(self):
      """Set up the test by creating a test file and opening it with the reader."""
      # Easiest way to test the reader is to create a test netCDF file on the fly
      # Create unique filenames to prevent race conditions when tests are run in parallel
      self.test_file = str(uuid.uuid4()) + ".nc"
      with Dataset(self.test_file, "w") as nc:
          # Create dimensions
          nc.createDimension("number_of_columns", 10)
          nc.createDimension("number_of_rows", 100)
          nc.createDimension("maximum_number_of_layers", 2)
  
          # add global attributes
          nc.data_source = "test_data_source"
          nc.platform = "test_platform"
  
          # Add datasets
          x = nc.createVariable(
              "x", np.float32, dimensions=("number_of_columns",)
          )
          x.standard_name = "projection_x_coordinate"
          x[:] = np.arange(10)
  
          y = nc.createVariable(
              "y", np.float32, dimensions=("number_of_rows",)
          )
          y.standard_name = "projection_y_coordinate"
          y[:] = np.arange(100)
  
          s = nc.createVariable("product_quality", np.int8)
          s[:] = 99.0
  
          one_layer_dataset = nc.createVariable(
              "test_one_layer",
              np.float32,
              dimensions=("number_of_rows", "number_of_columns"),
          )
          one_layer_dataset[:] = np.ones((100, 10))
          one_layer_dataset.test_attr = "attr"
          one_layer_dataset.units = "test_units"
  
          two_layers_dataset = nc.createVariable(
              "test_two_layers",
              np.float32,
              dimensions=(
                  "maximum_number_of_layers",
                  "number_of_rows",
                  "number_of_columns",
              ),
          )
          two_layers_dataset[0, :, :] = np.ones((100, 10))
          two_layers_dataset[1, :, :] = 2 * np.ones((100, 10))
  
          mtg_geos_projection = nc.createVariable(
              "mtg_geos_projection", int, dimensions=()
          )
          mtg_geos_projection.longitude_of_projection_origin = 0.0
          mtg_geos_projection.semi_major_axis = 6378137.0
          mtg_geos_projection.inverse_flattening = 298.257223563
          mtg_geos_projection.perspective_point_height = 35786400.0
  
      self.fh = FciL2NCFileHandler(
          filename=self.test_file, filename_info={}, filetype_info={}
      )
  
imports: import os
  import unittest
  import uuid
  from contextlib import suppress
  from unittest import mock
  import numpy
  import pytest
  from netCDF4 import Dataset
  from pyresample import geometry
  from satpy.readers.fci_l2_nc import FciL2NCAMVFileHandler, FciL2NCFileHandler, FciL2NCSegmentFileHandler
  from satpy.tests.utils import make_dataid
label_desc: Use image node_id 1 for calling the TestFciL2NCFileHandler obj's underlying member method code with example usage: obj.setUp() without return types