Comments (2)
"Needs clarification" since we need to do more thorough performance checking to know whether this really is a bottle-neck and thus worthwile doing. There are also multiple options:
- Just make all attributes lazy. This would involve making our own
property
decorator, and ensuring that if a header is changed, all cached values are deleted. - Even cache decoded header values (such as
frame_nr
). In principle the routines calculating those should be pretty fast, so caching may not help.
from baseband.
Closing since we should just check performance and be informed by that.
from baseband.
Related Issues (20)
- Creating a new StreamReader object from an existing one. HOT 4
- Baseband doesn't properly support file paths in all cases HOT 5
- `baseband.open()` does not support keyword arguments it should HOT 1
- Allow passing in header0 to stream readers? HOT 3
- Inconsistent sample_shape between VDIF StreamReader and header? HOT 3
- Guaranteed Attributes/Methods for headers? HOT 3
- Replace entrypoints by importlib.metadata HOT 1
- Dtype in Info object (and other useful attributes to have?) HOT 1
- Support psrfits baseband format
- Problem reading VDIF files with frame rate of 1 Hz
- Add CHIME HDF5 Gated format HOT 1
- Error raised when one seeks to bad spot in file and then reads
- Deal with files with large numbers of invalid frames HOT 1
- Write gapped vdif problem HOT 4
- Idea: allow time jumps in writing streams?
- Maybe support other data types?
- Task modules cannot be imported
- Some DADA headers are missing END
- Support VSSP format?
- ANN: Please migrate away from pytest-openfiles HOT 1
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