Coverage for src/cvxmarkowitz/types.py: 100%
9 statements
« prev ^ index » next coverage.py v7.16.1, created at 2026-09-15 05:21 +0000
« prev ^ index » next coverage.py v7.16.1, created at 2026-09-15 05:21 +0000
1# Copyright 2023 Stanford University Convex Optimization Group
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14"""Common type aliases used across the Markowitz package."""
16from typing import TypeAlias
18import cvxpy as cp
19import numpy as np
20import numpy.typing as npt
22Parameter = dict[str, cp.Parameter]
23Variables = dict[str, cp.Variable]
24Constraints = dict[str, cp.Constraint]
26Matrix: TypeAlias = npt.NDArray[np.float64]
28# What `Model.dimensions` reports: (variable name, size) claims, one per input
29# the model consumes. A tuple rather than a mapping because several inputs of
30# one model speak about the same variable, and it is exactly their
31# disagreement that `Problem.update` is looking for.
32Dimensions: TypeAlias = tuple[tuple[str, int], ...]