# Buggy code
def _make_assert_equiv(self, scope, loc, equiv_set, _args, names=None):
    # filter out those that are already equivalent
    if names == None:
        names = [x.name for x in _args]
    args = []
    arg_names = []
    for name, x in zip(names, _args):
        seen = False
        for y in args:
            if equiv_set.is_equiv(x, y):
                seen = True
                break
        if not seen:
            args.append(x)
            arg_names.append(name)

    # no assertion necessary if there are less than two
    if len(args) < 2:
        return []

    msg = "Sizes of {} do not match on {}".format(", ".join(arg_names), loc)
    msg_val = ir.Const(msg, loc)
    msg_typ = types.StringLiteral(msg)
    msg_var = ir.Var(scope, mk_unique_var("msg"), loc)
    self.typemap[msg_var.name] = msg_typ
    argtyps = tuple([msg_typ] + [self.typemap[x.name] for x in args])

    # assert_equiv takes vararg, which requires a tuple as argument type
    tup_typ = types.BaseTuple.from_types(argtyps)

    # prepare function variable whose type may vary since it takes vararg
    assert_var = ir.Var(scope, mk_unique_var("assert"), loc)
    assert_def = ir.Global("assert_equiv", assert_equiv, loc=loc)
    fnty = get_global_func_typ(assert_equiv)
    sig = self.context.resolve_function_type(fnty, (tup_typ,), {})
    self._define(equiv_set, assert_var, fnty, assert_def)

    # The return value from assert_equiv is always of none type.
    var = ir.Var(scope, mk_unique_var("ret"), loc)
    value = ir.Expr.call(assert_var, [msg_var] + args, {}, loc=loc)
    self._define(equiv_set, var, types.none, value)
    self.calltypes[value] = sig

    return [
        ir.Assign(value=msg_val, target=msg_var, loc=loc),
        ir.Assign(value=assert_def, target=assert_var, loc=loc),
        ir.Assign(value=value, target=var, loc=loc),
    ]


# 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 _make_assert_equiv(self, scope, loc, equiv_set, _args, names=None):
    # filter out those that are already equivalent
    if config.DEBUG_ARRAY_OPT >= 2:
        print("make_assert_equiv:", _args, names)
    if names == None:
        names = [x.name for x in _args]
    args = []
    arg_names = []
    for name, x in zip(names, _args):
        if config.DEBUG_ARRAY_OPT >= 2:
            print("name, x:", name, x)
        seen = False
        for y in args:
            if config.DEBUG_ARRAY_OPT >= 2:
                print("is equiv to?", y, equiv_set.is_equiv(x, y))
            if equiv_set.is_equiv(x, y):
                seen = True
                break
        if not seen:
            args.append(x)
            arg_names.append(name)

    # no assertion necessary if there are less than two
    if len(args) < 2:
        if config.DEBUG_ARRAY_OPT >= 2:
            print("Will not insert assert_equiv as args are known to be equivalent.")
        return []

    msg = "Sizes of {} do not match on {}".format(", ".join(arg_names), loc)
    msg_val = ir.Const(msg, loc)
    msg_typ = types.StringLiteral(msg)
    msg_var = ir.Var(scope, mk_unique_var("msg"), loc)
    self.typemap[msg_var.name] = msg_typ
    argtyps = tuple([msg_typ] + [self.typemap[x.name] for x in args])

    # assert_equiv takes vararg, which requires a tuple as argument type
    tup_typ = types.BaseTuple.from_types(argtyps)

    # prepare function variable whose type may vary since it takes vararg
    assert_var = ir.Var(scope, mk_unique_var("assert"), loc)
    assert_def = ir.Global("assert_equiv", assert_equiv, loc=loc)
    fnty = get_global_func_typ(assert_equiv)
    sig = self.context.resolve_function_type(fnty, (tup_typ,), {})
    self._define(equiv_set, assert_var, fnty, assert_def)

    # The return value from assert_equiv is always of none type.
    var = ir.Var(scope, mk_unique_var("ret"), loc)
    value = ir.Expr.call(assert_var, [msg_var] + args, {}, loc=loc)
    self._define(equiv_set, var, types.none, value)
    self.calltypes[value] = sig

    return [
        ir.Assign(value=msg_val, target=msg_var, loc=loc),
        ir.Assign(value=assert_def, target=assert_var, loc=loc),
        ir.Assign(value=value, target=var, loc=loc),
    ]