Remove enable_slice_literals function

Author: Aarsh-Wankar

pytensor/link/numba/dispatch/basic.py

@@ -243,93 +243,6 @@ def impl_to_scalar(x):
         raise TypingError(f"{x} must be a scalar compatible type.")
 
 
-def enable_slice_literals():
-    """Enable lowering for ``SliceLiteral``s.
-
-    TODO: This can be removed once https://github.com/numba/numba/pull/6996 is merged
-    and a release is made.
-    """
-    from numba.core import types
-    from numba.core.datamodel.models import SliceModel
-    from numba.core.datamodel.registry import register_default
-    from numba.core.imputils import lower_cast, lower_constant
-    from numba.core.types.misc import SliceLiteral
-    from numba.cpython.slicing import get_defaults
-
-    register_default(numba.types.misc.SliceLiteral)(SliceModel)
-
-    @property
-    def key(self):
-        return self.name
-
-    SliceLiteral.key = key
-
-    def make_slice_from_constant(context, builder, ty, pyval):
-        sli = context.make_helper(builder, ty)
-        lty = context.get_value_type(types.intp)
-
-        (
-            default_start_pos,
-            default_start_neg,
-            default_stop_pos,
-            default_stop_neg,
-            default_step,
-        ) = (context.get_constant(types.intp, x) for x in get_defaults(context))
-
-        step = pyval.step
-        if step is None:
-            step_is_neg = False
-            step = default_step
-        else:
-            step_is_neg = step < 0
-            step = lty(step)
-
-        start = pyval.start
-        if start is None:
-            if step_is_neg:
-                start = default_start_neg
-            else:
-                start = default_start_pos
-        else:
-            start = lty(start)
-
-        stop = pyval.stop
-        if stop is None:
-            if step_is_neg:
-                stop = default_stop_neg
-            else:
-                stop = default_stop_pos
-        else:
-            stop = lty(stop)
-
-        sli.start = start
-        sli.stop = stop
-        sli.step = step
-
-        return sli._getvalue()
-
-    @lower_constant(numba.types.SliceType)
-    def constant_slice(context, builder, ty, pyval):
-        if isinstance(ty, types.Literal):
-            typ = ty.literal_type
-        else:
-            typ = ty
-
-        return make_slice_from_constant(context, builder, typ, pyval)
-
-    @lower_cast(numba.types.misc.SliceLiteral, numba.types.SliceType)
-    def cast_from_literal(context, builder, fromty, toty, val):
-        return make_slice_from_constant(
-            context,
-            builder,
-            toty,
-            fromty.literal_value,
-        )
-
-
-enable_slice_literals()
-
-
 def create_tuple_creator(f, n):
     """Construct a compile-time ``tuple``-comprehension-like loop.