Add structure to solve optimization problems

.github/workflows/ci_cd.yml

@@ -25,7 +25,7 @@ jobs:
 
     steps:
 
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
 
       - uses: conda-incubator/setup-miniconda@v2
         with:

src/hippopt/__init__.py

@@ -1,9 +1,11 @@
 from . import base
+from .base.continuous_variable import ContinuousVariable, TContinuousVariable
+from .base.opti_solver import OptiSolver
 from .base.optimization_object import (
     OptimizationObject,
     StorageType,
     TOptimizationObject,
     default_storage_field,
 )
+from .base.optimization_problem import ExpressionType, OptimizationProblem
 from .base.parameter import Parameter, TParameter
-from .base.variable import TVariable, Variable

src/hippopt/base/__init__.py

@@ -1 +1,7 @@
-from . import optimization_object, parameter, variable
+from . import (
+    continuous_variable,
+    opti_solver,
+    optimization_object,
+    optimization_problem,
+    parameter,
+)

src/hippopt/base/variable.py → src/hippopt/base/continuous_variable.py

@@ -3,12 +3,12 @@
 
 from hippopt.base.optimization_object import OptimizationObject
 
-TVariable = TypeVar("TVariable", bound="Variable")
+TContinuousVariable = TypeVar("TContinuousVariable", bound="ContinuousVariable")
 
 
 @dataclasses.dataclass
-class Variable(OptimizationObject):
+class ContinuousVariable(OptimizationObject):
     """"""
 
-    StorageType: ClassVar[str] = "variable"
+    StorageType: ClassVar[str] = "continuous_variable"
     StorageTypeMetadata: ClassVar[dict[str, Any]] = dict(StorageType=StorageType)