feat: update exports (#130)

opvious/__init__.py

@@ -1,7 +1,7 @@
 import logging
 
 from .client import Client, ClientSetting, Problem
-from .common import __version__
+from .common import __version__, Annotation
 from .data.outcomes import (
     AbortedOutcome,
     FailedOutcome,
@@ -64,6 +64,7 @@
     "load_notebook_models",
     "modeling",
     # Solves
+    "Annotation",
     "DimensionArgument",
     "EpsilonConstraint",
     "Key",

opvious/modeling/fragments.py

@@ -66,9 +66,6 @@ def __iter__(self) -> Iterable[Any]:
         return (untuple(t) for t in cross(self.masked))
 
 
-MaskedSubset = MaskedSubspace  # Deprecated alias
-
-
 class DerivedVariable(ModelFragment):
     """Variable equal to a given equation
 
@@ -220,9 +217,6 @@ def wrapper(fn):
     return wrapper
 
 
-Magnitude = MagnitudeVariable  # Deprecated alias
-
-
 class ActivationVariable(ModelFragment):
     """Indicator variable activation fragment
 
@@ -347,9 +341,6 @@ def __call__(self, *subs: ExpressionLike) -> Expression:
         raise NotImplementedError()
 
 
-ActivationIndicator = ActivationVariable  # Deprecated alias
-
-
 @method_decorator(require_call=True)
 def activation_variable(
     *quantifiables: Quantifiable,

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "opvious"
-version = "0.19.0rc3"
+version = "0.19.0rc4"
 description = "Opvious Python SDK"
 authors = ["Opvious Engineering <oss@opvious.io>"]
 readme = "README.md"

tests/test_modeling.py

@@ -37,7 +37,7 @@ def __init__(self) -> None:
         self.production = om.Variable.non_negative(
             self.steps, upper_bound=self.demand.total(absolute=True)
         )
-        self.production_indicator = om.fragments.ActivationIndicator(
+        self.production_indicator = om.fragments.ActivationVariable(
             tensor=self.production,
         )
         self.inventory = om.Variable.non_negative(self.steps)
@@ -74,7 +74,7 @@ def __init__(self) -> None:
             (self.friends, self.friends),
             qualifiers=["sender", "recipient"],
         )
-        self.tranferred_indicator = om.fragments.ActivationIndicator(
+        self.tranferred_indicator = om.fragments.ActivationVariable(
             tensor=self.transferred,
             upper_bound=self.overall_cost(),
         )
@@ -187,7 +187,7 @@ class BinPacking(om.Model):
     bin_max_weight = om.Parameter.non_negative()
 
     assigned = om.Variable.indicator(bins, items)
-    used = om.fragments.ActivationIndicator(assigned, projection=1)
+    used = om.fragments.ActivationVariable(assigned, projection=1)
 
     @om.objective
     def minimize_bins_used(self):