syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py (4 lines):
	- line 201: # TODO: This code is complex. If it does not run faster than
	- line 247: # TODO: Do we need AddJitterOp here?
	- line 313: # TODO: It is not clear whether this code is slower, and it is certainly
	- line 337: # TODO: Do we need AddJitterOp here?


syne_tune/optimizer/schedulers/fifo.py (2 lines):
	- line 234: # TODO: Need load
	- line 274: # TODO: Need mkdir, save


benchmarking/blackbox_repository/tabulated_benchmark.py (2 lines):
	- line 82: # TODO we feed a dummy value for entry_point since they are not required
	- line 208: # TODO: This could fail earlier


syne_tune/backend/sagemaker_backend/sagemaker_backend.py (1 line):
	- line 139: # TODO once we have a multiobjective scheduler, we should add an example on how to tune instance-type/count.


syne_tune/backend/sagemaker_backend/instance_info.py (1 line):
	- line 33: # TODO right now, we use a static file but some services are available to get updated information


syne_tune/report.py (1 line):
	- line 49: # TODO dollar-cost computation is not available for file-based backends, what would be


syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/kernel/__init__.py (1 line):
	- line 13: # TODO wildcard import should be avoided


syne_tune/experiments.py (1 line):
	- line 177: # TODO: Use conditional imports, in order not to fail if dependencies are not


syne_tune/optimizer/schedulers/searchers/__init__.py (1 line):
	- line 13: # TODO wildcard import should be avoided


benchmarking/blackbox_repository/blackbox_tabular.py (1 line):
	- line 219: TODO: the API is currently dissonant with `serialize`, `deserialize` for BlackboxOffline as `serialize` is there a member.


syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py (1 line):
	- line 541: # TODO: Do we need AddJitterOp here?


syne_tune/optimizer/schedulers/hyperband_pasha.py (1 line):
	- line 24: TODO: add link


syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/kernel/cross_validation.py (1 line):
	- line 65: TODO: Right now, all HPs are encoded, and the resource attribute counts as


syne_tune/optimizer/schedulers/synchronous/hyperband.py (1 line):
	- line 107: TODO: Support model-based searchers.


benchmarking/blackbox_repository/conversion_scripts/scripts/nasbench201_import.py (1 line):
	- line 166: # TODO: Try to save dummy file to S3 at start, to fail fast if the user