old_contents: from toolchain import CythonRecipe
  from os.path import join
  import sh
  import shutil
  
  
  class NumpyRecipe(CythonRecipe):
      version = "1.9.1"
      url = "http://pypi.python.org/packages/source/n/numpy/numpy-{version}.tar.gz"
      library = "libnumpy.a"
      libraries = ["libnpymath.a", "libnpysort.a"]
      include_dir = "numpy/core/include"
      depends = ["python"]
      pbx_frameworks = ["Accelerate"]
      cythonize = False
  
      def prebuild_arch(self, arch):
          if self.has_marker("patched"):
              return
          self.apply_patch("numpy-1.9.1.patch")
          self.set_marker("patched")
  
      def get_recipe_env(self, arch):
          env = super(NumpyRecipe, self).get_recipe_env(arch)
          # CC must have the CFLAGS with arm arch, because numpy tries first to
          # compile and execute an empty C to see if the compiler works. This is
          # obviously not working when crosscompiling
          env["CC"] = "{} {}".format(env["CC"], env["CFLAGS"])
          # Numpy configuration. Don't try to compile anything related to it,
          # we're going to use the Accelerate framework
          env["NPYCONFIG"] = "env BLAS=None LAPACK=None ATLAS=None"
          return env
  
      def build_arch(self, arch):
          super(NumpyRecipe, self).build_arch(arch)
          sh.cp(sh.glob(join(self.build_dir, "build", "temp.*", "libnpy*.a")),
                self.build_dir)
  
      def reduce_python_package(self):
          dest_dir = join(self.ctx.site_packages_dir, "numpy")
          shutil.rmtree(join(dest_dir, "core", "include"))
          shutil.rmtree(join(dest_dir, "core", "tests"))
          shutil.rmtree(join(dest_dir, "distutils"))
          shutil.rmtree(join(dest_dir, "doc"))
          shutil.rmtree(join(dest_dir, "f2py", "tests"))
          shutil.rmtree(join(dest_dir, "fft", "tests"))
          shutil.rmtree(join(dest_dir, "lib", "tests"))
          shutil.rmtree(join(dest_dir, "ma", "tests"))
          shutil.rmtree(join(dest_dir, "matrixlib", "tests"))
          shutil.rmtree(join(dest_dir, "polynomial", "tests"))
          shutil.rmtree(join(dest_dir, "random", "tests"))
          shutil.rmtree(join(dest_dir, "tests"))
  
  recipe = NumpyRecipe()
  
new_contents: from toolchain import CythonRecipe
  from os.path import join
  import sh
  import shutil
  
  
  class NumpyRecipe(CythonRecipe):
      version = "1.9.1"
      url = "https://pypi.python.org/packages/source/n/numpy/numpy-{version}.tar.gz"
      library = "libnumpy.a"
      libraries = ["libnpymath.a", "libnpysort.a"]
      include_dir = "numpy/core/include"
      depends = ["python"]
      pbx_frameworks = ["Accelerate"]
      cythonize = False
  
      def prebuild_arch(self, arch):
          if self.has_marker("patched"):
              return
          self.apply_patch("numpy-1.9.1.patch")
          self.set_marker("patched")
  
      def get_recipe_env(self, arch):
          env = super(NumpyRecipe, self).get_recipe_env(arch)
          # CC must have the CFLAGS with arm arch, because numpy tries first to
          # compile and execute an empty C to see if the compiler works. This is
          # obviously not working when crosscompiling
          env["CC"] = "{} {}".format(env["CC"], env["CFLAGS"])
          # Numpy configuration. Don't try to compile anything related to it,
          # we're going to use the Accelerate framework
          env["NPYCONFIG"] = "env BLAS=None LAPACK=None ATLAS=None"
          return env
  
      def build_arch(self, arch):
          super(NumpyRecipe, self).build_arch(arch)
          sh.cp(sh.glob(join(self.build_dir, "build", "temp.*", "libnpy*.a")),
                self.build_dir)
  
      def reduce_python_package(self):
          dest_dir = join(self.ctx.site_packages_dir, "numpy")
          shutil.rmtree(join(dest_dir, "core", "include"))
          shutil.rmtree(join(dest_dir, "core", "tests"))
          shutil.rmtree(join(dest_dir, "distutils"))
          shutil.rmtree(join(dest_dir, "doc"))
          shutil.rmtree(join(dest_dir, "f2py", "tests"))
          shutil.rmtree(join(dest_dir, "fft", "tests"))
          shutil.rmtree(join(dest_dir, "lib", "tests"))
          shutil.rmtree(join(dest_dir, "ma", "tests"))
          shutil.rmtree(join(dest_dir, "matrixlib", "tests"))
          shutil.rmtree(join(dest_dir, "polynomial", "tests"))
          shutil.rmtree(join(dest_dir, "random", "tests"))
          shutil.rmtree(join(dest_dir, "tests"))
  
  recipe = NumpyRecipe()
  
subject: fix numpy http-https link. Closes #323