GPopt feedstrock

recipes/GPopt/LICENSE

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+The Clear BSD License
+
+Copyright (c) [2019-2024] [T. Moudiki]
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted (subject to the limitations in the disclaimer
+below) provided that the following conditions are met:
+
+     * Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+     * Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+
+     * Neither the name of the copyright holder nor the names of its
+     contributors may be used to endorse or promote products derived from this
+     software without specific prior written permission.
+
+NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
+THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
+CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
+PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
+CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
+BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
+IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.

recipes/GPopt/meta.yaml

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+{% set name = "GPopt" %}
+{% set version = "0.7.1" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://github.com/Techtonique/{{ name }}/archive/v{{ version }}.tar.gz
+  sha256: 3d835410ef88b9111c2c995ed56233249dd8be8ccaab554f3f3b93f5c94a58c0
+
+build:
+  number: 0
+  script: {{ PYTHON }} -m pip install . -vv
+  skip: true  # [py < 35]
+  skip: true  # [win]
+
+requirements:
+  host:
+    - python
+    - pip
+    - setuptools
+    - matplotlib-base
+    - numpy >=1.14.0
+    - scipy >=0.19.0
+    - Click 
+    - jax >=0.1.72      # [unix]
+    - jaxlib >=0.1.51      # [unix]
+    - joblib
+    - nnetsauce 
+    - numpy
+    - pandas
+    - scipy
+    - scikit-learn
+    - threadpoolctl
+    - tqdm
+  run:
+    - python
+    - scipy >=0.19.0
+    - matplotlib-base
+    - Click 
+    - jax >=0.1.72      # [unix]
+    - jaxlib >=0.1.51      # [unix]
+    - joblib
+    - nnetsauce 
+    - numpy
+    - pandas
+    - scipy
+    - scikit-learn
+    - threadpoolctl
+    - tqdm
+    - {{ pin_compatible('numpy') }}
+
+test:
+  imports: GPopt
+
+about:
+  home: https://techtonique.github.io/GPopt/
+  license: BSD-3-Clause
+  license_family: BSD
+  license_file: LICENSE
+  summary: Stochastic optimization using Machine Learning surrogates
+  description: Stochastic optimization using Machine Learning surrogates
+  doc_url: https://techtonique.github.io/GPopt/
+  dev_url: https://github.com/Techtonique/GPopt
+
+extra:
+  recipe-maintainers:
+    - thierrymoudiki