Use relative imports.

magicctapipe/io/gadf.py

@@ -9,11 +9,13 @@
 from astropy.io import fits
 from astropy.table import QTable
 from astropy.time import Time
-from magicctapipe import __version__
-from magicctapipe.io.io import TEL_COMBINATIONS
-from magicctapipe.utils.functions import HEIGHT_ORM, LAT_ORM, LON_ORM
 from pyirf.binning import split_bin_lo_hi
 
+from .. import __version__ as MCP_VERSION
+from ..utils.functions import HEIGHT_ORM, LAT_ORM, LON_ORM
+from .io import TEL_COMBINATIONS
+
+
 __all__ = [
     "create_gh_cuts_hdu",
     "create_event_hdu",
@@ -71,7 +73,7 @@ def create_gh_cuts_hdu(
     # Create a header
     header = fits.Header(
         cards=[
-            ("CREATOR", f"magicctapipe v{__version__}"),
+            ("CREATOR", f"magicctapipe v{MCP_VERSION}"),
             ("HDUCLAS1", "RESPONSE"),
             ("HDUCLAS2", "GH_CUTS"),
             ("HDUCLAS3", "POINT-LIKE"),
@@ -322,4 +324,3 @@ def create_pointing_hdu(event_table):
     pointing_hdu = fits.BinTableHDU(qtable, header=header, name="POINTING")
 
     return pointing_hdu
-

magicctapipe/io/io.py

@@ -17,11 +17,12 @@
 from ctapipe.coordinates import CameraFrame
 from ctapipe.instrument import SubarrayDescription
 from lstchain.reco.utils import add_delta_t_key
-from magicctapipe.utils import calculate_mean_direction, transform_altaz_to_radec
 from pyirf.binning import join_bin_lo_hi
 from pyirf.simulations import SimulatedEventsInfo
 from pyirf.utils import calculate_source_fov_offset, calculate_theta
 
+from ..utils import calculate_mean_direction, transform_altaz_to_radec
+
 __all__ = [
     "format_object",
     "get_stereo_events",

magicctapipe/irfs/utils.py

@@ -3,18 +3,15 @@
 
 import numpy as np
 import pandas as pd
-from astropy import table
+import matplotlib.pylab as plt
 import astropy.units as u
+
+from astropy import table
 from astropy.io import fits
 from astropy.table import QTable
-
 from pyirf.simulations import SimulatedEventsInfo
 
-from magicctapipe.utils.filedir import read_mc_header
-from magicctapipe.utils.plot import save_plt, load_default_plot_settings
-from magicctapipe.utils.utils import print_title
-
-import matplotlib.pylab as plt
+from ..utils import read_mc_header, save_plt, load_default_plot_settings, print_title
 
 __all__ = [
     "read_simu_info_mcp_sum_num_showers",

magicctapipe/reco/classifier_utils.py

@@ -4,13 +4,12 @@
 import os
 import sklearn.metrics
 
-
-from magicctapipe.utils.utils import info_message
-from magicctapipe.utils.filedir import (
+from ..utils import (
+    info_message,
     load_dl1_data_stereo_list,
     load_dl1_data_stereo_list_selected,
 )
-from magicctapipe.reco.global_utils import check_train_test_intersections
+from .global_utils import check_train_test_intersections
 
 __all__ = [
     "GetHist_classifier",

magicctapipe/reco/direction_utils.py

@@ -2,7 +2,7 @@
 from astropy import units as u
 from astropy.coordinates import SkyCoord, AltAz
 
-from magicctapipe.utils.tels import get_tel_ids_dl1
+from ..utils import get_tel_ids_dl1
 
 __all__ = ["compute_separation_angle_direction"]
 

magicctapipe/reco/estimators.py

@@ -7,7 +7,7 @@
 import numpy as np
 import pandas as pd
 import sklearn.ensemble
-from magicctapipe.io.io import TEL_NAMES
+from ..io.io import TEL_NAMES
 
 __all__ = ["EnergyRegressor", "DispRegressor", "EventClassifier"]
 

magicctapipe/reco/stereo.py

@@ -3,7 +3,7 @@
 
 from ctapipe.core.container import Container, Field
 
-from magicctapipe.utils.tels import tel_ids_2_num
+from ..utils import tel_ids_2_num
 
 __all__ = ["write_hillas", "check_write_stereo", "check_stereo", "write_stereo"]