# Buggy code
def get_generator_type(self, typdict, retty):
    gi = self.generator_info
    arg_types = [None] * len(self.arg_names)
    for index, name in self.arg_names.items():
        arg_types[index] = typdict[name]
    state_types = [typdict[var_name] for var_name in gi.state_vars]
    yield_types = [typdict[y.inst.value.name] for y in gi.get_yield_points()]
    if not yield_types:
        msg = "Cannot type generator: it does not yield any value"
        raise TypingError(msg)
    yield_type = self.context.unify_types(*yield_types)
    if yield_type is None or isinstance(yield_type, types.Optional):
        msg = "Cannot type generator: cannot unify yielded types %s"
        yp_highlights = []
        for y in gi.get_yield_points():
            msg = _termcolor.errmsg("Yield of: IR '%s', type '%s', location: %s")
            yp_highlights.append(
                msg % (str(y.inst), typdict[y.inst.value.name], y.inst.loc.strformat())
            )

        explain_ty = set()
        for ty in yield_types:
            if isinstance(ty, types.Optional):
                explain_ty.add(ty.type)
                explain_ty.add(types.NoneType("none"))
            else:
                explain_ty.add(ty)
        raise TypingError(
            "Can't unify yield type from the "
            "following types: %s"
            % ", ".join(sorted(map(str, explain_ty)))
            + "\n\n"
            + "\n".join(yp_highlights)
        )

    return types.Generator(
        self.func_id.func, yield_type, arg_types, state_types, has_finalizer=True
    )


# 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_generator_type(self, typdict, retty, raise_errors=True):
    gi = self.generator_info
    arg_types = [None] * len(self.arg_names)
    for index, name in self.arg_names.items():
        arg_types[index] = typdict[name]

    state_types = None
    try:
        state_types = [typdict[var_name] for var_name in gi.state_vars]
    except KeyError:
        msg = "Cannot type generator: state variable types cannot be found"
        if raise_errors:
            raise TypingError(msg)
        state_types = [types.unknown for _ in gi.state_vars]

    yield_types = None
    try:
        yield_types = [typdict[y.inst.value.name] for y in gi.get_yield_points()]
    except KeyError:
        msg = "Cannot type generator: yield type cannot be found"
        if raise_errors:
            raise TypingError(msg)
    if not yield_types:
        msg = "Cannot type generator: it does not yield any value"
        if raise_errors:
            raise TypingError(msg)
        yield_types = [types.unknown for _ in gi.get_yield_points()]

    if not yield_types or all(yield_types) == types.unknown:
        # unknown yield, probably partial type inference, escape
        return types.Generator(
            self.func_id.func, types.unknown, arg_types, state_types, has_finalizer=True
        )

    yield_type = self.context.unify_types(*yield_types)
    if yield_type is None or isinstance(yield_type, types.Optional):
        msg = "Cannot type generator: cannot unify yielded types %s"
        yp_highlights = []
        for y in gi.get_yield_points():
            msg = _termcolor.errmsg("Yield of: IR '%s', type '%s', location: %s")
            yp_highlights.append(
                msg % (str(y.inst), typdict[y.inst.value.name], y.inst.loc.strformat())
            )

        explain_ty = set()
        for ty in yield_types:
            if isinstance(ty, types.Optional):
                explain_ty.add(ty.type)
                explain_ty.add(types.NoneType("none"))
            else:
                explain_ty.add(ty)
        if raise_errors:
            raise TypingError(
                "Can't unify yield type from the "
                "following types: %s"
                % ", ".join(sorted(map(str, explain_ty)))
                + "\n\n"
                + "\n".join(yp_highlights)
            )

    return types.Generator(
        self.func_id.func, yield_type, arg_types, state_types, has_finalizer=True
    )