Handle CodeFactor

scico/numpy/_util.py

@@ -105,7 +105,7 @@ def mapped(*args, **kwargs):
             if isinstance(v, BlockArray):
                 ba_args[k] = bound_args.arguments.pop(k)
 
-        if not len(ba_args):  # no BlockArray arguments
+        if not ba_args:  # no BlockArray arguments
             return func(*args, **kwargs)  # no mapping
 
         num_blocks = len(list(ba_args.values())[0])

scico/numpy/blockarray.py

@@ -82,13 +82,6 @@
 
 
 
-
-TODO: working with SCICO operators
-TODO: indexing
-TODO: -x doesn't work
-
-
-
 Motivating Example
 ==================
 
@@ -517,8 +510,6 @@
 
 from .function_lists import binary_ops, unary_ops
 
-# CANCELED: .sum(), etc. should call snp
-
 
 class BlockArray(list):
     """BlockArray"""
@@ -553,7 +544,7 @@ def _full_ravel(self) -> DeviceArray:
     @property
     def dtype(self):
         """Allow snp.zeros(x.shape, x.dtype) to work."""
-        return self[0].dtype  # TODO: a better solution is beyond current scope
+        return self[0].dtype
 
     def __getitem__(self, key):
         """Make, e.g., x[:2] return a BlockArray, not a list."""

scico/ray/tune.py

@@ -18,7 +18,7 @@
     import ray.tune
 except ImportError:
     raise ImportError("Could not import ray.tune; please install it.")
-from ray.tune import loguniform, report, uniform  # noqa
+from ray.tune import grid_search, loguniform, report, uniform  # noqa
 from ray.tune.progress_reporter import TuneReporterBase, _get_trials_by_state
 from ray.tune.schedulers import AsyncHyperBandScheduler
 from ray.tune.suggest.hyperopt import HyperOptSearch