For looping over a given dl1 table and a single dl1 event (charges, peak times and mask), we can now retrieve the 2D images (input of the CNNs) without init and running the dl1dh reader.

also create separate function for the trigger patches on R0 data

remove also apply IM functions because it can be now replace by the internal .map_image() function

If prefix camera_frame is in the file, the user should add this prefix to the config file.

…lection

added batch generator

removed dl1dh transform

dl1dh provide now a static batch and we get the relevant information about the labels in the data loader of ctlearn

now stored in dl0 monitoring tree

last dimension of sample was missing

replaced by new design

Mainly astropy table operations are now used to retrieve the exmaple identifiers for the stereo reading mode. Code base is therefore heavily reduced and operations are more efficient.

Moved parameter settings outside the dl1dh. User can request to also the read dl1b  parameters by passing a list of column names in the batch_generation()

Removed init skip when pandas hdf5 with example identifiers is provided. It is not needed anymore since we are now fast and efficient with astropy tables and their operations.

split transformation into sub-functions for better readability.

this is removing redundant code

astopy table operations should be used a retrieved sum(), min or max etc.

Everything related to the selection of the subarray is done with ctapipe now

Whenever a new file is processed, it checks the consistency of the SubarrayDescription to the reference which is the first provided file; this ensures that all files have the subarray.

It defines a reading API with two childs for reading in mono and stereo mode. Then, the Image and Waveform childs inherits from both child classes (mono and stereo). Finally, the trigger child only inherits from the mono child

this is somehow needed because we modify the batch Table for the Trigger subclass

fix trigger subclass

RealLSTCam is the cam geometry from LST in the lstchain data format

if obs id and event id is the same for different types, the code failed.

…ch should be a table

use iterrows for iteration over the batch

store also subarray trigger table as class attribute

make get_tel_pointing also external

… warning

while processing real stereo data we do not have the true shower id in the batch

SST1M pipe writes real data in data format v5.0.0. We can support this version for real data only.

SST1M write the event-wise pointing directly in dl1 monitoring

polish docstrings