# Buggy code
def resolve(self, typeinfer, typevars, fnty):
    assert fnty
    context = typeinfer.context

    r = fold_arg_vars(typevars, self.args, self.vararg, self.kws)
    if r is None:
        # Cannot resolve call type until all argument types are known
        return
    pos_args, kw_args = r

    # Check argument to be precise
    for a in itertools.chain(pos_args, kw_args.values()):
        # Forbids imprecise type except array of undefined dtype
        if not a.is_precise() and not isinstance(a, types.Array):
            return

    # Resolve call type
    try:
        sig = typeinfer.resolve_call(fnty, pos_args, kw_args)
    except ForceLiteralArg as e:
        folded = e.fold_arguments(self.args, self.kws)
        requested = set()
        unsatisified = set()
        for idx in e.requested_args:
            maybe_arg = typeinfer.func_ir.get_definition(folded[idx])
            if isinstance(maybe_arg, ir.Arg):
                requested.add(maybe_arg.index)
            else:
                unsatisified.add(idx)
        if unsatisified:
            raise TypingError("Cannot request literal type.", loc=self.loc)
        elif requested:
            raise ForceLiteralArg(requested, loc=self.loc)
    if sig is None:
        # Note: duplicated error checking.
        #       See types.BaseFunction.get_call_type
        # Arguments are invalid => explain why
        headtemp = "Invalid use of {0} with parameters ({1})"
        args = [str(a) for a in pos_args]
        args += ["%s=%s" % (k, v) for k, v in sorted(kw_args.items())]
        head = headtemp.format(fnty, ", ".join(map(str, args)))
        desc = context.explain_function_type(fnty)
        msg = "\n".join([head, desc])
        raise TypingError(msg)

    typeinfer.add_type(self.target, sig.return_type, loc=self.loc)

    # If the function is a bound function and its receiver type
    # was refined, propagate it.
    if (
        isinstance(fnty, types.BoundFunction)
        and sig.recvr is not None
        and sig.recvr != fnty.this
    ):
        refined_this = context.unify_pairs(sig.recvr, fnty.this)
        if refined_this is not None and refined_this.is_precise():
            refined_fnty = fnty.copy(this=refined_this)
            typeinfer.propagate_refined_type(self.func, refined_fnty)

    # If the return type is imprecise but can be unified with the
    # target variable's inferred type, use the latter.
    # Useful for code such as::
    #    s = set()
    #    s.add(1)
    # (the set() call must be typed as int64(), not undefined())
    if not sig.return_type.is_precise():
        target = typevars[self.target]
        if target.defined:
            targetty = target.getone()
            if context.unify_pairs(targetty, sig.return_type) == targetty:
                sig = sig.replace(return_type=targetty)

    self.signature = sig
    self._add_refine_map(typeinfer, typevars, sig)


# 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 resolve(self, typeinfer, typevars, fnty):
    assert fnty
    context = typeinfer.context

    r = fold_arg_vars(typevars, self.args, self.vararg, self.kws)
    if r is None:
        # Cannot resolve call type until all argument types are known
        return
    pos_args, kw_args = r

    # Check argument to be precise
    for a in itertools.chain(pos_args, kw_args.values()):
        # Forbids imprecise type except array of undefined dtype
        if not a.is_precise() and not isinstance(a, types.Array):
            return

    # Resolve call type
    try:
        sig = typeinfer.resolve_call(fnty, pos_args, kw_args)
    except ForceLiteralArg as e:
        folded = e.fold_arguments(self.args, self.kws)
        requested = set()
        unsatisified = set()
        for idx in e.requested_args:
            maybe_arg = typeinfer.func_ir.get_definition(folded[idx])
            if isinstance(maybe_arg, ir.Arg):
                requested.add(maybe_arg.index)
            else:
                unsatisified.add(idx)
        if unsatisified:
            raise TypingError("Cannot request literal type.", loc=self.loc)
        elif requested:
            raise ForceLiteralArg(requested, loc=self.loc)
    if sig is None:
        # Note: duplicated error checking.
        #       See types.BaseFunction.get_call_type
        # Arguments are invalid => explain why
        headtemp = "Invalid use of {0} with parameters ({1})"
        args = [str(a) for a in pos_args]
        args += ["%s=%s" % (k, v) for k, v in sorted(kw_args.items())]
        head = headtemp.format(fnty, ", ".join(map(str, args)))
        desc = context.explain_function_type(fnty)
        msg = "\n".join([head, desc])
        raise TypingError(msg)

    typeinfer.add_type(self.target, sig.return_type, loc=self.loc)

    # If the function is a bound function and its receiver type
    # was refined, propagate it.
    if (
        isinstance(fnty, types.BoundFunction)
        and sig.recvr is not None
        and sig.recvr != fnty.this
    ):
        refined_this = context.unify_pairs(sig.recvr, fnty.this)
        if refined_this is None and fnty.this.is_precise() and sig.recvr.is_precise():
            msg = "Cannot refine type {} to {}".format(
                sig.recvr,
                fnty.this,
            )
            raise TypingError(msg, loc=self.loc)
        if refined_this is not None and refined_this.is_precise():
            refined_fnty = fnty.copy(this=refined_this)
            typeinfer.propagate_refined_type(self.func, refined_fnty)

    # If the return type is imprecise but can be unified with the
    # target variable's inferred type, use the latter.
    # Useful for code such as::
    #    s = set()
    #    s.add(1)
    # (the set() call must be typed as int64(), not undefined())
    if not sig.return_type.is_precise():
        target = typevars[self.target]
        if target.defined:
            targetty = target.getone()
            if context.unify_pairs(targetty, sig.return_type) == targetty:
                sig = sig.replace(return_type=targetty)

    self.signature = sig
    self._add_refine_map(typeinfer, typevars, sig)