# Buggy code
def run(self, blocks=None, equiv_set=None):
    """run array shape analysis on the given IR blocks, resulting in
    modified IR and finalized EquivSet for each block.
    """
    if blocks == None:
        blocks = self.func_ir.blocks

    self.func_ir._definitions = build_definitions(self.func_ir.blocks)

    if equiv_set == None:
        init_equiv_set = SymbolicEquivSet(self.typemap)
    else:
        init_equiv_set = equiv_set

    dprint_func_ir(self.func_ir, "before array analysis", blocks)

    if config.DEBUG_ARRAY_OPT >= 1:
        print("ArrayAnalysis variable types: ", sorted(self.typemap.items()))
        print("ArrayAnalysis call types: ", self.calltypes)

    cfg = compute_cfg_from_blocks(blocks)
    topo_order = find_topo_order(blocks, cfg=cfg)
    # Traverse blocks in topological order
    for label in topo_order:
        block = blocks[label]
        scope = block.scope
        new_body = []
        equiv_set = None

        # equiv_set is the intersection of predecessors
        preds = cfg.predecessors(label)
        # some incoming edge may be pruned due to prior analysis
        if label in self.pruned_predecessors:
            pruned = self.pruned_predecessors[label]
        else:
            pruned = []
        # Go through each incoming edge, process prepended instructions and
        # calculate beginning equiv_set of current block as an intersection
        # of incoming ones.
        for p, q in preds:
            if p in pruned:
                continue
            if p in self.equiv_sets:
                from_set = self.equiv_sets[p].clone()
                if (p, label) in self.prepends:
                    instrs = self.prepends[(p, label)]
                    for inst in instrs:
                        redefined = set()
                        self._analyze_inst(label, scope, from_set, inst, redefined)
                        # Remove anything multiply defined in this block
                        # from every block equivs.
                        self.remove_redefineds(redefined)
                if equiv_set == None:
                    equiv_set = from_set
                else:
                    equiv_set = equiv_set.intersect(from_set)
                    redefined = set()
                    equiv_set.union_defs(from_set.defs, redefined)
                    # Remove anything multiply defined in this block
                    # from every block equivs.
                    self.remove_redefineds(redefined)

        # Start with a new equiv_set if none is computed
        if equiv_set == None:
            equiv_set = init_equiv_set
        self.equiv_sets[label] = equiv_set
        # Go through instructions in a block, and insert pre/post
        # instructions as we analyze them.
        for inst in block.body:
            redefined = set()
            pre, post = self._analyze_inst(label, scope, equiv_set, inst, redefined)
            # Remove anything multiply defined in this block from every block equivs.
            self.remove_redefineds(redefined)
            for instr in pre:
                new_body.append(instr)
            new_body.append(inst)
            for instr in post:
                new_body.append(instr)
        block.body = new_body

    if config.DEBUG_ARRAY_OPT >= 1:
        self.dump()
        print("ArrayAnalysis post variable types: ", sorted(self.typemap.items()))
        print("ArrayAnalysis post call types: ", self.calltypes)

    dprint_func_ir(self.func_ir, "after array analysis", blocks)


# 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 run(self, blocks=None, equiv_set=None):
    """run array shape analysis on the given IR blocks, resulting in
    modified IR and finalized EquivSet for each block.
    """
    if blocks == None:
        blocks = self.func_ir.blocks

    self.func_ir._definitions = build_definitions(self.func_ir.blocks)

    if equiv_set == None:
        init_equiv_set = SymbolicEquivSet(self.typemap)
    else:
        init_equiv_set = equiv_set

    aa_count_save = ArrayAnalysis.aa_count
    ArrayAnalysis.aa_count += 1
    if config.DEBUG_ARRAY_OPT >= 1:
        print("Starting ArrayAnalysis:", aa_count_save)
    dprint_func_ir(self.func_ir, "before array analysis", blocks)

    if config.DEBUG_ARRAY_OPT >= 1:
        print("ArrayAnalysis variable types: ", sorted(self.typemap.items()))
        print("ArrayAnalysis call types: ", self.calltypes)

    cfg = compute_cfg_from_blocks(blocks)
    topo_order = find_topo_order(blocks, cfg=cfg)
    # Traverse blocks in topological order
    for label in topo_order:
        if config.DEBUG_ARRAY_OPT >= 2:
            print("Processing block:", label)
        block = blocks[label]
        scope = block.scope
        new_body = []
        equiv_set = None

        # equiv_set is the intersection of predecessors
        preds = cfg.predecessors(label)
        # some incoming edge may be pruned due to prior analysis
        if label in self.pruned_predecessors:
            pruned = self.pruned_predecessors[label]
        else:
            pruned = []
        # Go through each incoming edge, process prepended instructions and
        # calculate beginning equiv_set of current block as an intersection
        # of incoming ones.
        for p, q in preds:
            if p in pruned:
                continue
            if p in self.equiv_sets:
                from_set = self.equiv_sets[p].clone()
                if (p, label) in self.prepends:
                    instrs = self.prepends[(p, label)]
                    for inst in instrs:
                        redefined = set()
                        self._analyze_inst(label, scope, from_set, inst, redefined)
                        # Remove anything multiply defined in this block
                        # from every block equivs.
                        self.remove_redefineds(redefined)
                if equiv_set == None:
                    equiv_set = from_set
                else:
                    equiv_set = equiv_set.intersect(from_set)
                    redefined = set()
                    equiv_set.union_defs(from_set.defs, redefined)
                    # Remove anything multiply defined in this block
                    # from every block equivs.
                    self.remove_redefineds(redefined)

        # Start with a new equiv_set if none is computed
        if equiv_set == None:
            equiv_set = init_equiv_set
        self.equiv_sets[label] = equiv_set
        # Go through instructions in a block, and insert pre/post
        # instructions as we analyze them.
        for inst in block.body:
            redefined = set()
            if isinstance(inst, ir.StaticSetItem):
                orig_calltype = self.calltypes[inst]
                inst = ir.SetItem(inst.target, inst.index_var, inst.value, inst.loc)
                self.calltypes[inst] = orig_calltype
            pre, post = self._analyze_inst(label, scope, equiv_set, inst, redefined)
            # Remove anything multiply defined in this block from every block equivs.
            self.remove_redefineds(redefined)
            for instr in pre:
                new_body.append(instr)
            new_body.append(inst)
            for instr in post:
                new_body.append(instr)
        block.body = new_body

    if config.DEBUG_ARRAY_OPT >= 1:
        self.dump()
        print("ArrayAnalysis post variable types: ", sorted(self.typemap.items()))
        print("ArrayAnalysis post call types: ", self.calltypes)

    dprint_func_ir(self.func_ir, "after array analysis", blocks)
    if config.DEBUG_ARRAY_OPT >= 1:
        print("Ending ArrayAnalysis:", aa_count_save)