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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *


class PyScipy(PythonPackage):
    """SciPy (pronounced "Sigh Pie") is a Scientific Library for Python.
    It provides many user-friendly and efficient numerical routines such
    as routines for numerical integration and optimization."""

    homepage = "https://www.scipy.org/"
    pypi = "scipy/scipy-1.5.4.tar.gz"
    git = "https://github.com/scipy/scipy.git"

    maintainers = ["adamjstewart", "rgommers"]

    version("master", branch="master")
    version("1.8.1", sha256="9e3fb1b0e896f14a85aa9a28d5f755daaeeb54c897b746df7a55ccb02b340f33")
    version("1.8.0", sha256="31d4f2d6b724bc9a98e527b5849b8a7e589bf1ea630c33aa563eda912c9ff0bd")
    version("1.7.3", sha256="ab5875facfdef77e0a47d5fd39ea178b58e60e454a4c85aa1e52fcb80db7babf")
    version("1.7.2", sha256="fa2dbabaaecdb502641b0b3c00dec05fb475ae48655c66da16c9ed24eda1e711")
    version("1.7.1", sha256="6b47d5fa7ea651054362561a28b1ccc8da9368a39514c1bbf6c0977a1c376764")
    version("1.7.0", sha256="998c5e6ea649489302de2c0bc026ed34284f531df89d2bdc8df3a0d44d165739")
    version("1.6.3", sha256="a75b014d3294fce26852a9d04ea27b5671d86736beb34acdfc05859246260707")
    version("1.6.2", sha256="e9da33e21c9bc1b92c20b5328adb13e5f193b924c9b969cd700c8908f315aa59")
    version("1.6.1", sha256="c4fceb864890b6168e79b0e714c585dbe2fd4222768ee90bc1aa0f8218691b11")
    version("1.6.0", sha256="cb6dc9f82dfd95f6b9032a8d7ea70efeeb15d5b5fd6ed4e8537bb3c673580566")
    version("1.5.4", sha256="4a453d5e5689de62e5d38edf40af3f17560bfd63c9c5bd228c18c1f99afa155b")
    version("1.5.3", sha256="ddae76784574cc4c172f3d5edd7308be16078dd3b977e8746860c76c195fa707")
    version("1.5.2", sha256="066c513d90eb3fd7567a9e150828d39111ebd88d3e924cdfc9f8ce19ab6f90c9")
    version("1.5.1", sha256="039572f0ca9578a466683558c5bf1e65d442860ec6e13307d528749cfe6d07b8")
    version("1.5.0", sha256="4ff72877d19b295ee7f7727615ea8238f2d59159df0bdd98f91754be4a2767f0")
    version("1.4.1", sha256="dee1bbf3a6c8f73b6b218cb28eed8dd13347ea2f87d572ce19b289d6fd3fbc59")
    version("1.4.0", sha256="31f7cfa93b01507c935c12b535e24812594002a02a56803d7cd063e9920d25e8")
    version("1.3.3", sha256="64bf4e8ae0db2d42b58477817f648d81e77f0b381d0ea4427385bba3f959380a")
    version("1.3.2", sha256="a03939b431994289f39373c57bbe452974a7da724ae7f9620a1beee575434da4")
    version("1.3.1", sha256="2643cfb46d97b7797d1dbdb6f3c23fe3402904e3c90e6facfe6a9b98d808c1b5")
    version("1.3.0", sha256="c3bb4bd2aca82fb498247deeac12265921fe231502a6bc6edea3ee7fe6c40a7a")
    version("1.2.3", sha256="ecbe6413ca90b8e19f8475bfa303ac001e81b04ec600d17fa7f816271f7cca57")
    version("1.2.2", sha256="a4331e0b8dab1ff75d2c67b5158a8bb9a83c799d7140094dda936d876c7cfbb1")
    version("1.2.1", sha256="e085d1babcb419bbe58e2e805ac61924dac4ca45a07c9fa081144739e500aa3c")
    version("1.1.0", sha256="878352408424dffaa695ffedf2f9f92844e116686923ed9aa8626fc30d32cfd1")
    version("1.0.0", sha256="87ea1f11a0e9ec08c264dc64551d501fa307289460705f6fccd84cbfc7926d10")
    version("0.19.1", sha256="a19a2ca7a7336495ec180adeaa0dfdcf41e96dbbee90d51c3ed828ba570884e6")
    version("0.18.1", sha256="8ab6e9c808bf2fb3e8576cd8cf07226d9cdc18b012c06d9708429a821ac6634e")
    version("0.17.0", sha256="f600b755fb69437d0f70361f9e560ab4d304b1b66987ed5a28bdd9dd7793e089")
    version("0.15.1", sha256="a212cbc3b79e9a563aa45fc5c517b3499198bd7eb7e7be1e047568a5f48c259a")
    version("0.15.0", sha256="0c74e31e08acc8bf9b6ceb9bced73df2ae0cc76003e0366350bc7b26292bf8b1")

    # pyproject.toml
    depends_on("py-wheel@:0.37", type="build")
    depends_on("py-setuptools", type="build")
    depends_on("py-setuptools@:51.0.0", when="@1.6", type="build")
    depends_on("py-setuptools@:57", when="@1.7", type="build")
    depends_on("py-setuptools@:59", when="@1.8:", type="build")
    depends_on("py-cython@0.29.18:2", when="@1.7:", type="build")
    depends_on("py-pybind11@2.2.4:", when="@1.4.0", type=("build", "link"))
    depends_on("py-pybind11@2.4.0:", when="@1.4.1:1.4", type=("build", "link"))
    depends_on("py-pybind11@2.4.3:", when="@1.5:1.6.1", type=("build", "link"))
    depends_on("py-pybind11@2.4.3:2.6", when="@1.6.2:1.7.1", type=("build", "link"))
    depends_on("py-pybind11@2.4.3:2.7", when="@1.7.2:1.7", type=("build", "link"))
    depends_on("py-pybind11@2.4.3:2.8", when="@1.8:", type=("build", "link"))
    depends_on("py-pythran@0.9.11", when="@1.7.0:1.7.1", type=("build", "link"))
    depends_on("py-pythran@0.9.12:0.9", when="@1.7.2:1.7", type=("build", "link"))
    depends_on("py-pythran@0.10:", when="@1.8:", type=("build", "link"))
    # setup.py
    depends_on("py-numpy@1.5.1:+blas+lapack", when="@:0.15", type=("build", "link", "run"))
    depends_on("py-numpy@1.6.2:+blas+lapack", when="@0.16:0.17", type=("build", "link", "run"))
    depends_on("py-numpy@1.7.1:+blas+lapack", when="@0.18.0:0.18", type=("build", "link", "run"))
    depends_on("py-numpy@1.8.2:+blas+lapack", when="@0.19:1.2", type=("build", "link", "run"))
    depends_on("py-numpy@1.13.3:+blas+lapack", when="@1.3:1.4", type=("build", "link", "run"))
    depends_on("py-numpy@1.14.5:+blas+lapack", when="@1.5.0:1.5", type=("build", "link", "run"))
    depends_on("py-numpy@1.16.5:+blas+lapack", when="@1.6:1.6.1", type=("build", "link", "run"))
    depends_on(
        "py-numpy@1.16.5:1.22+blas+lapack", when="@1.6.2:1.7", type=("build", "link", "run")
    )
    depends_on("py-numpy@1.17.3:1.24+blas+lapack", when="@1.8:", type=("build", "link", "run"))
    depends_on("python@2.6:2.8,3.2:", when="@:0.17", type=("build", "link", "run"))
    depends_on("python@2.7:2.8,3.4:", when="@0.18:1.2", type=("build", "link", "run"))
    depends_on("python@3.5:", when="@1.3:1.4", type=("build", "link", "run"))
    depends_on("python@3.6:", when="@1.5.0:1.5", type=("build", "link", "run"))
    depends_on("python@3.7:", when="@1.6:1.6.1", type=("build", "link", "run"))
    depends_on("python@3.7:3.9", when="@1.6.2:1.7.1", type=("build", "link", "run"))
    depends_on("python@3.7:3.10", when="@1.7.2:1.7", type=("build", "link", "run"))
    depends_on("python@3.8:3.10", when="@1.8:", type=("build", "link", "run"))
    depends_on("py-pytest", type="test")

    # NOTE: scipy should use the same Blas/Lapack as numpy
    # This is achieved by calling the set_blas_lapack() and setup_build_environment()
    # from numpy in the scipy spec
    depends_on("blas")
    depends_on("lapack")
    # https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate
    depends_on("lapack@3.4.1:", when="@1.2:")

    # https://github.com/scipy/scipy/pull/11324
    conflicts("@1.4.0:1.4.1", when="target=ppc64le:")

    # https://github.com/scipy/scipy/issues/12860
    patch(
        "https://git.sagemath.org/sage.git/plain/build/pkgs/scipy/patches/extern_decls.patch?id=711fe05025795e44b84233e065d240859ccae5bd",
        sha256="5433f60831cb554101520a8f8871ac5a32c95f7a971ccd68b69049535b106780",
        when="@1.2:1.5.3",
    )

    patch("scipy-clang.patch", when="@1.5.0:1.6.3 %clang")

    @run_before("install")
    def set_blas_lapack(self):
        # Pick up Blas/Lapack from numpy
        self.spec["py-numpy"].package.set_blas_lapack()

    @run_before("install")
    def set_fortran_compiler(self):
        if self.spec.satisfies("%fj"):
            with open("setup.cfg", "w") as f:
                f.write("[config_fc]\n")
                f.write("fcompiler = fujitsu\n")
        elif self.spec.satisfies("%intel") or self.spec.satisfies("%oneapi"):
            if self.spec.satisfies("target=x86:"):
                with open("setup.cfg", "w") as f:
                    f.write("[config_fc]\n")
                    f.write("fcompiler = intel\n")
            elif self.spec.satisfies("target=x86_64:"):
                with open("setup.cfg", "w") as f:
                    f.write("[config_fc]\n")
                    f.write("fcompiler = intelem\n")

    def setup_build_environment(self, env):
        # https://github.com/scipy/scipy/issues/9080
        env.set("F90", spack_fc)

        # https://github.com/scipy/scipy/issues/11611
        if self.spec.satisfies("@:1.4 %gcc@10:"):
            env.set("FFLAGS", "-fallow-argument-mismatch")
            if self.spec.satisfies("^py-numpy@1.16:1.17"):
                env.set("NPY_DISTUTILS_APPEND_FLAGS", "1")

        # https://github.com/scipy/scipy/issues/14935
        if self.spec.satisfies("%intel ^py-pythran") or self.spec.satisfies("%oneapi ^py-pythran"):
            if self.spec["py-pythran"].version < Version("0.12"):
                env.set("SCIPY_USE_PYTHRAN", "0")

        # Pick up Blas/Lapack from numpy
        self.spec["py-numpy"].package.setup_build_environment(env)

    @run_after("install")
    @on_package_attributes(run_tests=True)
    def install_test(self):
        with working_dir("spack-test", create=True):
            python("-c", 'import scipy; scipy.test("full", verbose=2)')