old_contents: import os
  import tempfile
  
  from nose import with_setup
  
  from sktracker import data
  from sktracker.io import StackIO
  from sktracker.io import ObjectsIO
  
  from sktracker.detection import peak_detector
  from sktracker.io import validate_metadata
  
  
  def test_objectsio():
  
      fname = data.CZT_peaks()
      st = StackIO(fname, json_discovery=False)
  
      data_iterator = st.image_iterator(channel_index=0)
  
      parameters = {'w_s': 0.7,
                    'peak_radius': 0.2,
                    'threshold': 27,
                    'max_peaks': 4
                   }
  
      peaks = peak_detector(data_iterator(),
                            st.metadata,
                            parallel=True,
                            verbose=False,
                            show_progress=True,
                            parameters=parameters)
  
      oio = ObjectsIO(st.metadata, store_path="test.h5", base_dir=tempfile.gettempdir())
      oio["detected"] = peaks
  
      assert (oio.keys() == ['/detected', '/metadata']) and (oio["detected"].shape == (28, 6))
  
  def test_from_h5_without_base_dir():
  
      store_path = data.sample_h5()
      oio = ObjectsIO.from_h5(store_path)
      assert validate_metadata(oio.metadata)
  
  def test_from_h5():
  
      store_path = data.sample_h5()
      oio = ObjectsIO.from_h5(store_path, base_dir=tempfile.gettempdir())
      assert validate_metadata(oio.metadata)
  
new_contents: import os
  import tempfile
  
  from sktracker import data
  from sktracker.io import StackIO
  from sktracker.io import ObjectsIO
  
  from sktracker.detection import peak_detector
  from sktracker.io import validate_metadata
  
  
  def test_objectsio():
  
      fname = data.CZT_peaks()
      st = StackIO(fname, json_discovery=False)
  
      data_iterator = st.image_iterator(channel_index=0)
  
      parameters = {'w_s': 0.7,
                    'peak_radius': 0.2,
                    'threshold': 27,
                    'max_peaks': 4
                   }
  
      peaks = peak_detector(data_iterator(),
                            st.metadata,
                            parallel=True,
                            verbose=False,
                            show_progress=True,
                            parameters=parameters)
  
      oio = ObjectsIO(st.metadata, store_path="test.h5", base_dir=tempfile.gettempdir())
      oio["detected"] = peaks
  
      assert (oio.keys() == ['/detected', '/metadata']) and (oio["detected"].shape == (28, 6))
  
  def test_from_h5_without_base_dir():
  
      store_path = data.sample_h5()
      oio = ObjectsIO.from_h5(store_path)
      assert validate_metadata(oio.metadata)
  
  def test_from_h5():
  
      store_path = data.sample_h5()
      oio = ObjectsIO.from_h5(store_path, base_dir=tempfile.gettempdir())
      assert validate_metadata(oio.metadata)
  
subject: Remove unused import