nevergrad/optimization/optimizerlib.py (7 lines):
	- line 628: # TODO: is a sigma necessary here as well? given the covariance is estimated
	- line 652: # TODO: check actual covariance that should be used
	- line 1000: # TODO: We should spend first 10-20 iterations
	- line 1004: # TODO: We should chose a to be inversely proportional to
	- line 2118: ChainCMAPowell.no_parallelization = True  # TODO make this automatic
	- line 2165: self.llambda = max(num_workers, 40)  # FIXME: no good heuristic ?
	- line 2421: # This is the real of population control. FIXME: should we pair with a bandit ?


nevergrad/parametrization/data.py (4 lines):
	- line 208: """  # TODO improve description of methods
	- line 315: # TODO this is nearly useless now that the layer system has been added. Remove?
	- line 400: # )  # TODO activate when ready
	- line 534: # TODO remove the next line when all compatibility is done


nevergrad/functions/base.py (3 lines):
	- line 111: # # TODO investigate why this synchronization is needed
	- line 187: # propagate other useful information # TODO a bit hacky
	- line 191: )  # TODO not sure why this is needed


nevergrad/functions/games/game.py (3 lines):
	- line 102: # TODO: refactor?
	- line 217: # TODO remove if not planned to be used
	- line 423: # FIXME: an adaptive opponent, e.g. bandit, would be better.


nevergrad/benchmark/experiments.py (3 lines):
	- line 269: # TODO the upper bounds are really not well set for this experiment with cigar
	- line 1539: # TODO: add the proxy info in the parametrization.
	- line 1575: # TODO: add the proxy info in the parametrization.


nevergrad/optimization/sequences.py (3 lines):
	- line 51: # TODO deprecate this method
	- line 63: ), "Iterable does not work if budget is not specified"  # TODO make it work
	- line 172: def vdc(self, n: int, permut: tp.List[int]) -> float:  # TODO speed up?


nevergrad/functions/functionlib.py (2 lines):
	- line 20: # TODO: refactor, this is not more used for parametrization, so using the
	- line 223: )  # bypass the parametrization one (because of the "hashing" case)  # TODO: remove


nevergrad/parametrization/instantiate.py (2 lines):
	- line 30: ):  # TODO: custom extensions are handled as python
	- line 184: for fp in self.folder.glob("**/*"):  # TODO filter out all hidden files (+ build files?)


nevergrad/optimization/base.py (2 lines):
	- line 798: # TODO: this may not scale well with dimension
	- line 800: # TODO: because of the return whenever constraints are satisfied, the first case never arises


nevergrad/parametrization/_datalayers.py (2 lines):
	- line 62: """  # TODO improve description of methods
	- line 98: tests = [data.copy() for _ in range(2)]  # TODO make it simpler and more efficient?


nevergrad/optimization/multiobjective/core.py (2 lines):
	- line 146: # TODO the following is probably not good at all:
	- line 265: )  # TODO verify


nevergrad/parametrization/utils.py (1 line):
	- line 232: # TODO make the following command more robust (probably fails in multiple cases)


nevergrad/parametrization/container.py (1 line):
	- line 49: # TODO: this is first order, in practice we would need to test all the different


nevergrad/optimization/recaster.py (1 line):
	- line 59: self.output: tp.Optional[tp.Any] = None  # TODO add a "done" attribute ?


nevergrad/optimization/utils.py (1 line):
	- line 40: # TODO May be safer to use a default variance which depends on y for scale invariance?


nevergrad/parametrization/choice.py (1 line):
	- line 74: """  # TODO this is currenlty very messy, may need some improvement


nevergrad/optimization/es.py (1 line):
	- line 39: self._rank_method: tp.Any = None  # TODO better typing (eventually)


nevergrad/parametrization/mutation.py (1 line):
	- line 186: class RavelCrossover(Crossover):  # TODO: can be made for all parameters instead of just arrays


nevergrad/functions/photonics/photonics.py (1 line):
	- line 311: # r = A[len(A) - 1][0, 0]  # TODO: unused


nevergrad/functions/mlda/datasets.py (1 line):
	- line 102: data: np.ndarray = np.zeros((50, 2))  # TODO: why?


nevergrad/ops/constraints.py (1 line):
	- line 81: # TODO: this can be made more efficient (fewer copy) if need be.


nevergrad/functions/powersystems/core.py (1 line):
	- line 105: self.hydro_prod_per_time_step: tp.List[tp.Any] = []  # TODO @oteytaud initial values?


nevergrad/functions/images/core.py (1 line):
	- line 184: # TODO add crossover params in args + criterion


nevergrad/benchmark/plotting.py (1 line):
	- line 748: # for k, subcase in enumerate(subcases):  # TODO linearize this (precompute all subcases)? requires memory


nevergrad/parametrization/core.py (1 line):
	- line 65: def descriptors(self) -> utils.DeprecatedDescriptors:  # TODO remove


nevergrad/functions/helpers.py (1 line):
	- line 79: # TODO descriptors for the evaluation function?


nevergrad/optimization/multiobjective/hypervolume.py (1 line):
	- line 200: # TODO: not sure why it would work with lists tough, investigate the ignored typing


nevergrad/optimization/oneshot.py (1 line):
	- line 327: # hack since scale is not defined before the first hack (TODO: refactor)


nevergrad/functions/pyomo/core.py (1 line):
	- line 158: # TODO find a way to avoid exec


nevergrad/optimization/callbacks.py (1 line):
	- line 48: print(f"After {optimizer.num_tell}, recommendation is {x}")  # TODO fetch value