Add Extra data for reading raw data for CORRECT and DARK notebooks.
Using pasha in parallelizing data processing instead of pyDetLib.
Removing all pyDetlib function, instead for common-mode and plotting.
Use balance_sequences for pnccd correction.
Performance wise. The PnCCD gained a lot from these changes. The correct notebook was not doing any parallelization over images or sequence files.
It went from 3 hours for correcting 12 sequences at /gpfs/exfel/exp/SQS/202031/p900166/raw/r0347 to about 7 mins, after using parallelization over sequence files and pasha over images.
