Coverage for src / cvx / markowitz / utils / fill.py: 100%
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« prev ^ index » next coverage.py v7.12.0, created at 2025-12-08 13:49 +0000
« prev ^ index » next coverage.py v7.12.0, created at 2025-12-08 13:49 +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"""Helpers to pad vectors/matrices to target shapes."""
16import numpy as np
18from cvx.markowitz.types import Matrix
21def fill_vector(x: Matrix, num: int) -> Matrix:
22 """Fill a vector of length num with x."""
23 z = np.zeros(num)
24 z[: len(x)] = x
25 return z
28def fill_matrix(x: Matrix, rows: int, cols: int) -> Matrix:
29 """Fill a matrix of size (rows, cols) with x."""
30 # I had no luck with ndarray.resize()
31 z = np.zeros((rows, cols))
32 (n, m) = np.shape(x)
33 z[:n, :m] = x
34 return z