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# This file is part of daf_butler. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (http://www.lsst.org). 

# See the COPYRIGHT file at the top-level directory of this distribution 

# for details of code ownership. 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the GNU General Public License 

# along with this program. If not, see <http://www.gnu.org/licenses/>. 

 

__all__ = ["ObservationDimensionPacker"] 

 

from lsst.daf.butler import DataCoordinate, DimensionPacker 

 

 

class ObservationDimensionPacker(DimensionPacker): 

"""A `DimensionPacker` for visit+detector or exposure+detector, given an 

instrument. 

""" 

 

def __init__(self, fixed, dimensions): 

super().__init__(fixed, dimensions) 

self._instrumentName = fixed["instrument"] 

if self.dimensions.required.names == set(["instrument", "visit", "detector"]): 

self._observationName = "visit" 

obsMax = fixed.records["instrument"].visit_max 

38 ↛ 42line 38 didn't jump to line 42, because the condition on line 38 was never false elif dimensions.required.names == set(["instrument", "exposure", "detector"]): 

self._observationName = "exposure" 

obsMax = fixed.records["instrument"].exposure_max 

else: 

raise ValueError(f"Invalid dimensions for ObservationDimensionPacker: {dimensions.required}") 

self._detectorMax = fixed.records["instrument"].detector_max 

self._maxBits = (obsMax*self._detectorMax).bit_length() 

 

@property 

def maxBits(self): 

# Docstring inherited from DimensionPacker.maxBits 

return self._maxBits 

 

def _pack(self, dataId): 

# Docstring inherited from DimensionPacker._pack 

return dataId["detector"] + self._detectorMax*dataId[self._observationName] 

 

def unpack(self, packedId): 

# Docstring inherited from DimensionPacker.unpack 

observation, detector = divmod(packedId, self._detectorMax) 

return DataCoordinate.standardize( 

{ 

"instrument": self._instrumentName, 

"detector": detector, 

self._observationName: observation, 

}, 

graph=self.dimensions 

)