class_docstr: Swap-in NetCDF4 File Handler.
class_docstr_tok: ["Swap-in","NetCDF4","File","Handler","."]
docstr: Mimic reader input file content.
docstr_tok: ["Mimic","reader","input","file","content","."]
code: def get_test_content(self, filename, filename_info, filetype_info):
      """Mimic reader input file content."""
      dt = filename_info.get(
          "start_time", datetime(2016, 1, 1, 12, 0, 0)
      )
      file_type = filename[:5].lower()
      num_lines = DEFAULT_FILE_SHAPE[0]
      num_pixels = DEFAULT_FILE_SHAPE[1]
      num_scans = 5
      num_luts = DEFAULT_FILE_SHAPE[0] * DEFAULT_FILE_SHAPE[1]
      file_content = {
          "/dimension/number_of_scans": num_scans,
          "/dimension/number_of_lines": num_lines,
          "/dimension/number_of_pixels": num_pixels,
          "/dimension/number_of_LUT_values": num_luts,
          "/attr/time_coverage_start": dt.strftime(
              "%Y-%m-%dT%H:%M:%S.000Z"
          ),
          "/attr/time_coverage_end": (
              dt + timedelta(minutes=6)
          ).strftime("%Y-%m-%dT%H:%M:%S.000Z"),
          "/attr/orbit_number": 26384,
          "/attr/instrument": "VIIRS",
          "/attr/platform": "Suomi-NPP",
      }
      self._fill_contents_with_default_data(file_content, file_type)
      self._set_dataset_specific_metadata(file_content)
      convert_file_content_to_data_array(file_content)
      return file_content
  
imports: import os
  from datetime import datetime, timedelta
  from unittest import mock
  import numpy
  from satpy.tests.reader_tests.test_netcdf_utils import FakeNetCDF4FileHandler
  from satpy.tests.utils import convert_file_content_to_data_array
label_desc: Use image node_id 1 for calling the FakeNetCDF4FileHandlerDay obj's underlying member method code with example usage: obj.get_test_content(filename, filename_info, filetype_info) and returns: file_content