diff --git a/meson.build b/meson.build index 773602e..8dc8b54 100644 --- a/meson.build +++ b/meson.build @@ -1,7 +1,7 @@ project( 'fastcan', 'c', 'cython', - version: '0.2.1', + version: '0.2.2', license: 'MIT', meson_version: '>= 1.1.0', default_options: [ diff --git a/pixi.lock b/pixi.lock index 081bcf1..96c1c69 100644 --- a/pixi.lock +++ b/pixi.lock @@ -1520,9 +1520,9 @@ packages: timestamp: 1720869435725 - kind: pypi name: fastcan - version: 0.2.1 + version: 0.2.2 path: . - sha256: 15b71e2287ad10abdea6f903750875f6f5b38250808c6e40ef6cb54f1e008ff3 + sha256: e68d895181c7c80c180d4b519639df7b7a36ff9c28d6c81a2f01f01ecdc91b80 requires_dist: - scikit-learn>=1.5.0,<1.6 - furo ; extra == 'doc' diff --git a/pyproject.toml b/pyproject.toml index 6db5e65..3cccde5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "fastcan" -version = "0.2.1" +version = "0.2.2" description = "A fast canonical-correlation-based feature selection method" authors = [ { name = "Matthew Sikai Zhang", email = "matthew.szhang91@gmail.com" }, @@ -84,8 +84,8 @@ scikit-learn = ">=1.5.0,<1.6" scikit-learn = ">=1.5.0,<1.6" [tool.pixi.tasks] -time-h = { cmd = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, verbose=0).fit(X, y)'" } -time-eta = { cmd = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, eta=True, verbose=0).fit(X, y)'" } +time-h = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, verbose=0).fit(X, y)'" +time-eta = "python -m timeit -n 5 -s 'import numpy as np; from fastcan import FastCan; X = np.random.rand(3000, 100); y = np.random.rand(3000, 20)' 's = FastCan(100, eta=True, verbose=0).fit(X, y)'" [tool.pixi.feature.test.tasks] test = { cmd = "pytest", cwd = "tests" }