From cec2acf7ae0aff9ed7d345b52a410a928e6ae5ef Mon Sep 17 00:00:00 2001
From: SIKAI ZHANG <34108862+MatthewSZhang@users.noreply.github.com>
Date: Thu, 12 Sep 2024 12:55:08 +0800
Subject: [PATCH] MNT fix openMP deps in meson

---
 fastcan/_fastcan.py |    8 +-
 fastcan/meson.build |    3 +
 fastcan/py.typed    |    0
 pixi.lock           | 1538 +++++++++++++++++++++++++++++++++++++++++--
 pyproject.toml      |   10 +
 5 files changed, 1489 insertions(+), 70 deletions(-)
 create mode 100644 fastcan/py.typed

diff --git a/fastcan/_fastcan.py b/fastcan/_fastcan.py
index a96049e..b4ebb95 100644
--- a/fastcan/_fastcan.py
+++ b/fastcan/_fastcan.py
@@ -134,12 +134,18 @@ def fit(self, X, y):
         """
         self._validate_params()
         # X y
-        check_X_params = {"ensure_min_samples": 2, "order": "F", "dtype": float}
+        check_X_params = {
+            "ensure_min_samples": 2,
+            "order": "F",
+            "dtype": float,
+            "force_writeable": True,
+        }
         check_y_params = {
             "ensure_min_samples": 2,
             "ensure_2d": False,
             "order": "F",
             "dtype": float,
+            "force_writeable": True,
         }
         X, y = self._validate_data(
             X=X,
diff --git a/fastcan/meson.build b/fastcan/meson.build
index 4282b7b..934ad7a 100644
--- a/fastcan/meson.build
+++ b/fastcan/meson.build
@@ -1,3 +1,5 @@
+openmp_dep = dependency('OpenMP', language: 'c', required: false)
+
 cython_args = [
   '-X language_level=3', '-X boundscheck=False', '-X wraparound=False',
   '-X initializedcheck=False', '-X nonecheck=False', '-X cdivision=True',
@@ -7,6 +9,7 @@ cython_args = [
 py.extension_module(
     '_cancorr_fast',
     '_cancorr_fast.pyx',
+    dependencies: [openmp_dep],
     subdir: 'fastcan',
     cython_args: cython_args,
     install: true
diff --git a/fastcan/py.typed b/fastcan/py.typed
new file mode 100644
index 0000000..e69de29
diff --git a/pixi.lock b/pixi.lock
index ad17762..081bcf1 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -18,7 +18,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.1-py312h775a589_0.conda
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+  sha256: 4463e4e2aba7668e37a1b8532859191b4477a6f3602a5d6b4d64ad4c4baaeac5
+  md5: 4e4ea852d54cc2b869842de5044662fb
+  depends:
+  - __osx >=11.0
+  - gmp >=6.3.0,<7.0a0
+  license: LGPL-3.0-only
+  license_family: LGPL
+  purls: []
+  size: 345517
+  timestamp: 1725746730583
 - kind: conda
   name: mypy
   version: 1.11.2
@@ -3081,17 +4351,18 @@ packages:
   timestamp: 1725618483850
 - kind: conda
   name: scikit-learn
-  version: 1.5.1
-  build: py312h1b546db_0
+  version: 1.5.2
+  build: py312h387f99c_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.5.1-py312h1b546db_0.conda
-  sha256: 84dbdad6be17824cc188cd9f80d13707bb6e75afb64444476269b06643526225
-  md5: e9448f28dfa360ab849f89319fc145f4
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/scikit-learn-1.5.2-py312h387f99c_1.conda
+  sha256: 9a5b51f8699d233a87d67c200aceb5a4b1bd9a899596c2eb958fddc6c2ddb60b
+  md5: 7a6a47b8182f8c5bdabdc772f1357e01
   depends:
   - __osx >=11.0
   - joblib >=1.2.0
-  - libcxx >=16
-  - llvm-openmp >=16.0.6
+  - libcxx >=17
+  - llvm-openmp >=17.0.6
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
@@ -3099,44 +4370,44 @@ packages:
   - scipy
   - threadpoolctl >=3.1.0
   license: BSD-3-Clause
-  license_family: BSD
   purls:
   - pkg:pypi/scikit-learn?source=hash-mapping
-  size: 9546176
-  timestamp: 1719998598002
+  size: 9581309
+  timestamp: 1726083218204
 - kind: conda
   name: scikit-learn
-  version: 1.5.1
-  build: py312h775a589_0
+  version: 1.5.2
+  build: py312h7a48858_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.1-py312h775a589_0.conda
-  sha256: cf9735937209d01febf1f912559e28dc3bb753906460e5b85dc24f0d57a78d96
-  md5: bd8c79ccb9498336cbb174cf0151024a
+  url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.2-py312h7a48858_1.conda
+  sha256: 3118b687c7cfb4484cc5c65591b611d834e3ea2424cb75e1e0b0980d0de72afc
+  md5: 6b5f4c68483bd0c22bca9094dafc606b
   depends:
   - __glibc >=2.17,<3.0.a0
   - _openmp_mutex >=4.5
   - joblib >=1.2.0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - libgcc >=13
+  - libstdcxx >=13
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - scipy
   - threadpoolctl >=3.1.0
   license: BSD-3-Clause
-  license_family: BSD
   purls:
   - pkg:pypi/scikit-learn?source=hash-mapping
-  size: 10384469
-  timestamp: 1719998679827
+  size: 10393222
+  timestamp: 1726083382159
 - kind: conda
   name: scikit-learn
-  version: 1.5.1
-  build: py312h816cc57_0
+  version: 1.5.2
+  build: py312h816cc57_1
+  build_number: 1
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.5.1-py312h816cc57_0.conda
-  sha256: 00ab427eaebdc17816655ec7d116de9511a8ad04020fc47e0b4bc5dcfc46bbbb
-  md5: fa83d73ec4a87352b6bbfcdfde5aeab2
+  url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.5.2-py312h816cc57_1.conda
+  sha256: 7c64942d20339e965c22e27ceca72e0f0ff7d32962d9621903c3812714835f4f
+  md5: e2b5c3288bd3f8e89a46b98f8d9e8768
   depends:
   - joblib >=1.2.0
   - numpy >=1.19,<3
@@ -3148,35 +4419,34 @@ packages:
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
-  license_family: BSD
   purls:
   - pkg:pypi/scikit-learn?source=hash-mapping
-  size: 9225862
-  timestamp: 1719999149012
+  size: 9215977
+  timestamp: 1726083836746
 - kind: conda
   name: scikit-learn
-  version: 1.5.1
-  build: py312hc214ba5_0
+  version: 1.5.2
+  build: py312h9d777eb_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.5.1-py312hc214ba5_0.conda
-  sha256: 62a33e1266c9e2e99e5bb68127160e04a592b62e553faa4f6ad2df264b9654f0
-  md5: 32625e0f29884a4704070c07a25edf94
+  url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.5.2-py312h9d777eb_1.conda
+  sha256: f02c5ccc044afd85ce8bfb4504526ad2d65b24d11541145d5423a5f3abc7e19c
+  md5: 258180f3d58e64d6a0be0abf2b125944
   depends:
   - __osx >=10.13
   - joblib >=1.2.0
-  - libcxx >=16
-  - llvm-openmp >=16.0.6
+  - libcxx >=17
+  - llvm-openmp >=17.0.6
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - scipy
   - threadpoolctl >=3.1.0
   license: BSD-3-Clause
-  license_family: BSD
   purls:
   - pkg:pypi/scikit-learn?source=hash-mapping
-  size: 9488534
-  timestamp: 1719998895551
+  size: 9479906
+  timestamp: 1726083214500
 - kind: conda
   name: scipy
   version: 1.14.1
@@ -3303,6 +4573,36 @@ packages:
   - pkg:pypi/setuptools?source=hash-mapping
   size: 1460460
   timestamp: 1725348602179
+- kind: conda
+  name: sigtool
+  version: 0.1.3
+  build: h44b9a77_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/sigtool-0.1.3-h44b9a77_0.tar.bz2
+  sha256: 70791ae00a3756830cb50451db55f63e2a42a2fa2a8f1bab1ebd36bbb7d55bff
+  md5: 4a2cac04f86a4540b8c9b8d8f597848f
+  depends:
+  - openssl >=3.0.0,<4.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 210264
+  timestamp: 1643442231687
+- kind: conda
+  name: sigtool
+  version: 0.1.3
+  build: h88f4db0_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/sigtool-0.1.3-h88f4db0_0.tar.bz2
+  sha256: 46fdeadf8f8d725819c4306838cdfd1099cd8fe3e17bd78862a5dfdcd6de61cf
+  md5: fbfb84b9de9a6939cb165c02c69b1865
+  depends:
+  - openssl >=3.0.0,<4.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 213817
+  timestamp: 1643442169866
 - kind: pypi
   name: snowballstemmer
   version: 2.2.0
@@ -3441,6 +4741,40 @@ packages:
   - sphinx>=5 ; extra == 'standalone'
   - pytest ; extra == 'test'
   requires_python: '>=3.9'
+- kind: conda
+  name: tapi
+  version: 1300.6.5
+  build: h03f4b80_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/tapi-1300.6.5-h03f4b80_0.conda
+  sha256: 37cd4f62ec023df8a6c6f9f6ffddde3d6620a83cbcab170a8fff31ef944402e5
+  md5: b703bc3e6cba5943acf0e5f987b5d0e2
+  depends:
+  - __osx >=11.0
+  - libcxx >=17.0.0.a0
+  - ncurses >=6.5,<7.0a0
+  license: NCSA
+  license_family: MIT
+  purls: []
+  size: 207679
+  timestamp: 1725491499758
+- kind: conda
+  name: tapi
+  version: 1300.6.5
+  build: h390ca13_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/tapi-1300.6.5-h390ca13_0.conda
+  sha256: f97372a1c75b749298cb990405a690527e8004ff97e452ed2c59e4bc6a35d132
+  md5: c6ee25eb54accb3f1c8fc39203acfaf1
+  depends:
+  - __osx >=10.13
+  - libcxx >=17.0.0.a0
+  - ncurses >=6.5,<7.0a0
+  license: NCSA
+  license_family: MIT
+  purls: []
+  size: 221236
+  timestamp: 1725491044729
 - kind: conda
   name: tbb
   version: 2021.13.0
@@ -3842,3 +5176,69 @@ packages:
   - pkg:pypi/zipp?source=hash-mapping
   size: 21110
   timestamp: 1724731063145
+- kind: conda
+  name: zlib
+  version: 1.3.1
+  build: h87427d6_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.3.1-h87427d6_1.conda
+  sha256: 41bd5fef28b2755d637e3a8ea5c84010628392fbcf80c7e3d7370aaced7ee4fe
+  md5: 3ac9ef8975965f9698dbedd2a4cc5894
+  depends:
+  - __osx >=10.13
+  - libzlib 1.3.1 h87427d6_1
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 88782
+  timestamp: 1716874245467
+- kind: conda
+  name: zlib
+  version: 1.3.1
+  build: hfb2fe0b_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.1-hfb2fe0b_1.conda
+  sha256: 87360c2dc662916aac37cf01e53324b4f4f78db6f399220818076752b093ede5
+  md5: f27e021db7862b6ddbc1d3578f10d883
+  depends:
+  - __osx >=11.0
+  - libzlib 1.3.1 hfb2fe0b_1
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 78260
+  timestamp: 1716874280334
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: h915ae27_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
+  sha256: efa04a98cb149643fa54c4dad5a0179e36a5fbc88427ea0eec88ceed87fd0f96
+  md5: 4cb2cd56f039b129bb0e491c1164167e
+  depends:
+  - __osx >=10.9
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 498900
+  timestamp: 1714723303098
+- kind: conda
+  name: zstd
+  version: 1.5.6
+  build: hb46c0d2_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
+  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
+  md5: d96942c06c3e84bfcc5efb038724a7fd
+  depends:
+  - __osx >=11.0
+  - libzlib >=1.2.13,<2.0.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 405089
+  timestamp: 1714723101397
diff --git a/pyproject.toml b/pyproject.toml
index f6e6e75..6db5e65 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,6 +69,12 @@ cython = ">=3.0.10,<3.1"
 meson-python = ">=0.16.0,<0.17"
 ninja = ">=1.12.1,<1.13"
 
+[tool.pixi.target.osx-64.build-dependencies]
+compilers = "*"
+
+[tool.pixi.target.osx-arm64.build-dependencies]
+compilers = "*"
+
 [tool.pixi.host-dependencies]
 meson-python = ">=0.16.0,<0.17"
 cython = ">=3.0.10,<3.1"
@@ -77,6 +83,10 @@ scikit-learn = ">=1.5.0,<1.6"
 [tool.pixi.dependencies]
 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)'" }
+
 [tool.pixi.feature.test.tasks]
 test = { cmd = "pytest", cwd = "tests" }
 test-coverage = { cmd = "rm -rf .coverage && pytest --cov-report $FMT --cov=$PACKAGE tests/", env = { PACKAGE = "fastcan", FMT = "html" } }