2c0a79a817
This is a follow up for #482, uses Python 3 syntax: - Simplifies `super()` calls - Removes some unused `super()` (no parent class) - Removes `object` inheritance - Drops `IS_PY2` logic - Drops Python 2 imports
55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
from kivy_ios.toolchain import CythonRecipe
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from os.path import join
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import sh
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import shutil
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class NumpyRecipe(CythonRecipe):
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version = "1.16.4"
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url = "https://pypi.python.org/packages/source/n/numpy/numpy-{version}.zip"
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library = "libnumpy.a"
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libraries = ["libnpymath.a", "libnpysort.a"]
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include_dir = "numpy/core/include"
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depends = ["python"]
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pbx_frameworks = ["Accelerate"]
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cythonize = False
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def prebuild_arch(self, arch):
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if self.has_marker("patched"):
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return
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self.apply_patch("numpy-1.16.4.patch")
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self.set_marker("patched")
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def get_recipe_env(self, arch):
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env = super().get_recipe_env(arch)
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# CC must have the CFLAGS with arm arch, because numpy tries first to
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# compile and execute an empty C to see if the compiler works. This is
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# obviously not working when crosscompiling
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env["CC"] = "{} {}".format(env["CC"], env["CFLAGS"])
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# Numpy configuration. Don't try to compile anything related to it,
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# we're going to use the Accelerate framework
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env["NPYCONFIG"] = "env BLAS=None LAPACK=None ATLAS=None"
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return env
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def build_arch(self, arch):
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super().build_arch(arch)
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sh.cp(sh.glob(join(self.build_dir, "build", "temp.*", "libnpy*.a")),
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self.build_dir)
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def reduce_python_package(self):
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dest_dir = join(self.ctx.site_packages_dir, "numpy")
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shutil.rmtree(join(dest_dir, "core", "include"))
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shutil.rmtree(join(dest_dir, "core", "tests"))
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shutil.rmtree(join(dest_dir, "distutils"))
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shutil.rmtree(join(dest_dir, "doc"))
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shutil.rmtree(join(dest_dir, "f2py", "tests"))
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shutil.rmtree(join(dest_dir, "fft", "tests"))
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shutil.rmtree(join(dest_dir, "lib", "tests"))
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shutil.rmtree(join(dest_dir, "ma", "tests"))
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shutil.rmtree(join(dest_dir, "matrixlib", "tests"))
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shutil.rmtree(join(dest_dir, "polynomial", "tests"))
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shutil.rmtree(join(dest_dir, "random", "tests"))
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shutil.rmtree(join(dest_dir, "tests"))
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recipe = NumpyRecipe()
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