remove stray _get_scalar_func_loopy_program

arraycontext/fake_numpy.py

@@ -26,47 +26,10 @@ THE SOFTWARE.
 import numpy as np
 from arraycontext.container import NotAnArrayContainerError, serialize_container
 from arraycontext.container.traversal import rec_map_array_container
-from pytools import memoize_in
-
-
-# {{{ _get_scalar_func_loopy_program
-
-def _get_scalar_func_loopy_program(actx, c_name, nargs, naxes):
-    @memoize_in(actx, _get_scalar_func_loopy_program)
-    def get(c_name, nargs, naxes):
-        from pymbolic import var
-
-        var_names = ["i%d" % i for i in range(naxes)]
-        size_names = ["n%d" % i for i in range(naxes)]
-        subscript = tuple(var(vname) for vname in var_names)
-        from islpy import make_zero_and_vars
-        v = make_zero_and_vars(var_names, params=size_names)
-        domain = v[0].domain()
-        for vname, sname in zip(var_names, size_names):
-            domain = domain & v[0].le_set(v[vname]) & v[vname].lt_set(v[sname])
-
-        domain_bset, = domain.get_basic_sets()
-
-        import loopy as lp
-        from .loopy import make_loopy_program
-        from arraycontext.transform_metadata import ElementwiseMapKernelTag
-        return make_loopy_program(
-                [domain_bset],
-                [
-                    lp.Assignment(
-                        var("out")[subscript],
-                        var(c_name)(*[
-                            var("inp%d" % i)[subscript] for i in range(nargs)]))
-                    ],
-                name="actx_special_%s" % c_name,
-                tags=(ElementwiseMapKernelTag(),))
-
-    return get(c_name, nargs, naxes)
-
-# }}}
 
 
 # {{{ BaseFakeNumpyNamespace
+
 class BaseFakeNumpyNamespace:
     def __init__(self, array_context):
         self._array_context = array_context