# Buggy code
def _get_callee_args(call_expr, callee, loc, func_ir):
    """Get arguments for calling 'callee', including the default arguments.
    keyword arguments are currently only handled when 'callee' is a function.
    """
    args = list(call_expr.args)
    debug_print = _make_debug_print("inline_closure_call default handling")

    # handle defaults and kw arguments using pysignature if callee is function
    if isinstance(callee, pytypes.FunctionType):
        pysig = numba.utils.pysignature(callee)
        normal_handler = lambda index, param, default: default
        default_handler = lambda index, param, default: ir.Const(default, loc)

        # Throw error for stararg
        # TODO: handle stararg
        def stararg_handler(index, param, default):
            raise NotImplementedError(
                "Stararg not supported in inliner for arg {} {}".format(index, param)
            )

        kws = dict(call_expr.kws)
        return numba.typing.fold_arguments(
            pysig, args, kws, normal_handler, default_handler, stararg_handler
        )
    else:
        # TODO: handle arguments for make_function case similar to function
        # case above
        callee_defaults = (
            callee.defaults if hasattr(callee, "defaults") else callee.__defaults__
        )
        if callee_defaults:
            debug_print("defaults = ", callee_defaults)
            if isinstance(callee_defaults, tuple):  # Python 3.5
                defaults_list = []
                for x in callee_defaults:
                    if isinstance(x, ir.Var):
                        defaults_list.append(x)
                    else:
                        # this branch is predominantly for kwargs from
                        # inlinable functions
                        defaults_list.append(ir.Const(value=x, loc=loc))
                args = args + defaults_list
            elif isinstance(callee_defaults, ir.Var) or isinstance(
                callee_defaults, str
            ):
                defaults = func_ir.get_definition(callee_defaults)
                assert isinstance(defaults, ir.Const)
                loc = defaults.loc
                args = args + [ir.Const(value=v, loc=loc) for v in defaults.value]
            else:
                raise NotImplementedError(
                    "Unsupported defaults to make_function: {}".format(defaults)
                )
        return args


# Traceback (IndexError)
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}

File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^

[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)

# Fixed code
def _get_callee_args(call_expr, callee, loc, func_ir):
    """Get arguments for calling 'callee', including the default arguments.
    keyword arguments are currently only handled when 'callee' is a function.
    """
    if call_expr.op == "call":
        args = list(call_expr.args)
    elif call_expr.op == "getattr":
        args = [call_expr.value]
    else:
        raise TypeError("Unsupported ir.Expr.{}".format(call_expr.op))

    debug_print = _make_debug_print("inline_closure_call default handling")

    # handle defaults and kw arguments using pysignature if callee is function
    if isinstance(callee, pytypes.FunctionType):
        pysig = numba.utils.pysignature(callee)
        normal_handler = lambda index, param, default: default
        default_handler = lambda index, param, default: ir.Const(default, loc)

        # Throw error for stararg
        # TODO: handle stararg
        def stararg_handler(index, param, default):
            raise NotImplementedError(
                "Stararg not supported in inliner for arg {} {}".format(index, param)
            )

        if call_expr.op == "call":
            kws = dict(call_expr.kws)
        else:
            kws = {}
        return numba.typing.fold_arguments(
            pysig, args, kws, normal_handler, default_handler, stararg_handler
        )
    else:
        # TODO: handle arguments for make_function case similar to function
        # case above
        callee_defaults = (
            callee.defaults if hasattr(callee, "defaults") else callee.__defaults__
        )
        if callee_defaults:
            debug_print("defaults = ", callee_defaults)
            if isinstance(callee_defaults, tuple):  # Python 3.5
                defaults_list = []
                for x in callee_defaults:
                    if isinstance(x, ir.Var):
                        defaults_list.append(x)
                    else:
                        # this branch is predominantly for kwargs from
                        # inlinable functions
                        defaults_list.append(ir.Const(value=x, loc=loc))
                args = args + defaults_list
            elif isinstance(callee_defaults, ir.Var) or isinstance(
                callee_defaults, str
            ):
                default_tuple = func_ir.get_definition(callee_defaults)
                assert isinstance(default_tuple, ir.Expr)
                assert default_tuple.op == "build_tuple"
                const_vals = [func_ir.get_definition(x) for x in default_tuple.items]
                args = args + const_vals
            else:
                raise NotImplementedError(
                    "Unsupported defaults to make_function: {}".format(defaults)
                )
        return args