Two `resample_by_picking` in simple-dg TranslationUnit

I was just playing with (and being amazed by!) https://github.com/inducer/meshmode/pull/216.(https://github.com/inducer/meshmode/pull/216/commits/1de7f8f8fc3518ead4cd0191adf2238078636543 specifically, and https://github.com/inducer/pytato/commit/585576ac4a94c6bc3e38e5fc85ffa2fb165afea0)

If I run `python simple.dg --lazy` and set a break point at https://github.com/inducer/arraycontext/blob/82b03d20849d9aac0f54cb4e9c00ba0f5908911c/arraycontext/impl/pytato/compile.py#L306, and then go
```
print(self.pytato_program.program)
```
the resulting `TranslationUnit` comes out with two copies of `resample_by_picking` that aren't visibly different:

>>> print(self.pytato_program.program)

---------------------------------------------------------------------------

KERNEL: resample_by_picking

---------------------------------------------------------------------------

ARGUMENTS:

ary: type: np:dtype('float64'), shape: (nelements_vec, n_from_nodes), dim_tags: (N1:stride:n_from_nodes, N0:stride:1), offset:  aspace: global

from_element_indices: type: np:dtype('int64'), shape: (nelements), dim_tags: (N0:stride:1), offset:  aspace: global

n_from_nodes: ValueArg, type: np:dtype('int32')

n_to_nodes: ValueArg, type: np:dtype('int64')

nelements: ValueArg, type: np:dtype('int64')

nelements_vec: ValueArg, type: np:dtype('int32')

pick_list: type: np:dtype('int32'), shape: (n_to_nodes), dim_tags: (N0:stride:1), offset:  aspace: global

result: type: np:dtype('float64'), shape: (nelements, n_to_nodes), dim_tags: (N1:stride:n_to_nodes, N0:stride:1), offset:  aspace: global

---------------------------------------------------------------------------

DOMAINS:

[nelements] -> { [iel] : 0 <= iel < nelements }

[n_to_nodes] -> { [idof] : 0 <= idof < n_to_nodes }

---------------------------------------------------------------------------

INAME IMPLEMENTATION TAGS:

idof: ConcurrentDOFInameTag()

iel: ConcurrentElementInameTag()

---------------------------------------------------------------------------

INSTRUCTIONS:

for idof, iel

    result[iel, idof] = ary[from_element_indices[iel], pick_list[idof]] if from_element_indices[iel] != -1 else 0  {id=insn}

end idof, iel

---------------------------------------------------------------------------

---------------------------------------------------------------------------

KERNEL: resample_by_picking_0

---------------------------------------------------------------------------

ARGUMENTS:

ary: type: np:dtype('float64'), shape: (nelements_vec, n_from_nodes), dim_tags: (N1:stride:n_from_nodes, N0:stride:1), offset:  aspace: global

from_element_indices: type: np:dtype('int32'), shape: (nelements), dim_tags: (N0:stride:1), offset:  aspace: global

n_from_nodes: ValueArg, type: np:dtype('int32')

n_to_nodes: ValueArg, type: np:dtype('int64')

nelements: ValueArg, type: np:dtype('int64')

nelements_vec: ValueArg, type: np:dtype('int32')

pick_list: type: np:dtype('int32'), shape: (n_to_nodes), dim_tags: (N0:stride:1), offset:  aspace: global

result: type: np:dtype('float64'), shape: (nelements, n_to_nodes), dim_tags: (N1:stride:n_to_nodes, N0:stride:1), offset:  aspace: global

---------------------------------------------------------------------------

DOMAINS:

[nelements] -> { [iel] : 0 <= iel < nelements }

[n_to_nodes] -> { [idof] : 0 <= idof < n_to_nodes }

---------------------------------------------------------------------------

INAME IMPLEMENTATION TAGS:

idof: ConcurrentDOFInameTag()

iel: ConcurrentElementInameTag()

---------------------------------------------------------------------------

INSTRUCTIONS:

for idof, iel

    result[iel, idof] = ary[from_element_indices[iel], pick_list[idof]] if from_element_indices[iel] != -1 else 0  {id=insn}

end idof, iel

---------------------------------------------------------------------------

(...SNIP...)

Any thoughts on why that might be?

cc @kaushikcfd @matthiasdiener