after_merge
stringlengths 28
79.6k
| before_merge
stringlengths 20
79.6k
| url
stringlengths 38
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| full_traceback
stringlengths 43
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| traceback_type
stringclasses 555
values |
|---|---|---|---|---|
def op_LOAD_CONST(self, inst, res):
value = self.code_consts[inst.arg]
if isinstance(value, tuple):
st = []
for x in value:
nm = "$const_%s" % str(x)
val_const = ir.Const(x, loc=self.loc)
target = self.store(val_const, name=nm, redefine=True)
st.append(target)
const = ir.Expr.build_tuple(st, loc=self.loc)
else:
const = ir.Const(value, loc=self.loc)
self.store(const, res)
|
def op_LOAD_CONST(self, inst, res):
value = self.code_consts[inst.arg]
const = ir.Const(value, loc=self.loc)
self.store(const, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_BEGIN_FINALLY(self, inst, temps):
# The *temps* are the exception variables
const_none = ir.Const(None, loc=self.loc)
for tmp in temps:
# Set to None for now
self.store(const_none, name=tmp)
self._exception_vars.add(tmp)
|
def op_BEGIN_FINALLY(self, inst, state):
"no-op"
none = ir.Const(None, loc=self.loc)
self.store(value=none, name=state)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_BUILD_CONST_KEY_MAP(self, inst, keys, keytmps, values, res):
# Unpack the constant key-tuple and reused build_map which takes
# a sequence of (key, value) pair.
keyvar = self.get(keys)
# TODO: refactor this pattern. occurred several times.
for inst in self.current_block.body:
if isinstance(inst, ir.Assign) and inst.target is keyvar:
self.current_block.remove(inst)
# scan up the block looking for the values, remove them
# and find their name strings
named_items = []
for x in inst.value.items:
for y in self.current_block.body[::-1]:
if x == y.target:
self.current_block.remove(y)
named_items.append(y.value.value)
break
keytup = named_items
break
assert len(keytup) == len(values)
keyconsts = [ir.Const(value=x, loc=self.loc) for x in keytup]
for kval, tmp in zip(keyconsts, keytmps):
self.store(kval, tmp)
items = list(zip(map(self.get, keytmps), map(self.get, values)))
expr = ir.Expr.build_map(items=items, size=2, loc=self.loc)
self.store(expr, res)
|
def op_BUILD_CONST_KEY_MAP(self, inst, keys, keytmps, values, res):
# Unpack the constant key-tuple and reused build_map which takes
# a sequence of (key, value) pair.
keyvar = self.get(keys)
# TODO: refactor this pattern. occurred several times.
for inst in self.current_block.body:
if isinstance(inst, ir.Assign) and inst.target is keyvar:
self.current_block.remove(inst)
keytup = inst.value.value
break
assert len(keytup) == len(values)
keyconsts = [ir.Const(value=x, loc=self.loc) for x in keytup]
for kval, tmp in zip(keyconsts, keytmps):
self.store(kval, tmp)
items = list(zip(map(self.get, keytmps), map(self.get, values)))
expr = ir.Expr.build_map(items=items, size=2, loc=self.loc)
self.store(expr, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_POP_BLOCK(self, inst, kind=None):
if kind is None:
self.syntax_blocks.pop()
elif kind == "try":
self._insert_try_block_end()
|
def op_POP_BLOCK(self, inst):
self.syntax_blocks.pop()
|
https://github.com/numba/numba/issues/4944
|
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($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def op_COMPARE_OP(self, inst, lhs, rhs, res):
op = dis.cmp_op[inst.arg]
if op == "in" or op == "not in":
lhs, rhs = rhs, lhs
if op == "not in":
self._binop("in", lhs, rhs, res)
tmp = self.get(res)
out = ir.Expr.unary("not", value=tmp, loc=self.loc)
self.store(out, res)
elif op == "exception match":
gv_fn = ir.Global(
"exception_match",
eh.exception_match,
loc=self.loc,
)
exc_match_name = "$exc_match"
self.store(value=gv_fn, name=exc_match_name, redefine=True)
lhs = self.get(lhs)
rhs = self.get(rhs)
exc = ir.Expr.call(
self.get(exc_match_name),
args=(lhs, rhs),
kws=(),
loc=self.loc,
)
self.store(exc, res)
else:
self._binop(op, lhs, rhs, res)
|
def op_COMPARE_OP(self, inst, lhs, rhs, res):
op = dis.cmp_op[inst.arg]
if op == "in" or op == "not in":
lhs, rhs = rhs, lhs
if op == "not in":
self._binop("in", lhs, rhs, res)
tmp = self.get(res)
out = ir.Expr.unary("not", value=tmp, loc=self.loc)
self.store(out, res)
else:
self._binop(op, lhs, rhs, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_RAISE_VARARGS(self, inst, exc):
if exc is not None:
exc = self.get(exc)
tryblk = self.dfainfo.active_try_block
if tryblk is not None:
# In a try block
stmt = ir.TryRaise(exception=exc, loc=self.loc)
self.current_block.append(stmt)
self._insert_try_block_end()
self.current_block.append(ir.Jump(tryblk["end"], loc=self.loc))
else:
# Not in a try block
stmt = ir.Raise(exception=exc, loc=self.loc)
self.current_block.append(stmt)
|
def op_RAISE_VARARGS(self, inst, exc):
if exc is not None:
exc = self.get(exc)
stmt = ir.Raise(exception=exc, loc=self.loc)
self.current_block.append(stmt)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_MAKE_FUNCTION(
self, inst, name, code, closure, annotations, kwdefaults, defaults, res
):
if annotations != None:
raise NotImplementedError(
"op_MAKE_FUNCTION with annotations is not implemented"
)
if kwdefaults != None:
raise NotImplementedError("op_MAKE_FUNCTION with kwdefaults is not implemented")
if defaults:
if isinstance(defaults, tuple):
defaults = tuple([self.get(name) for name in defaults])
else:
defaults = self.get(defaults)
assume_code_const = self.definitions[code][0]
if not isinstance(assume_code_const, ir.Const):
msg = (
"Unsupported use of closure. "
"Probably caused by complex control-flow constructs; "
"e.g. try-except"
)
raise errors.UnsupportedError(msg, loc=self.loc)
fcode = assume_code_const.value
if name:
name = self.get(name)
if closure:
closure = self.get(closure)
expr = ir.Expr.make_function(name, fcode, closure, defaults, self.loc)
self.store(expr, res)
|
def op_MAKE_FUNCTION(
self, inst, name, code, closure, annotations, kwdefaults, defaults, res
):
if annotations != None:
raise NotImplementedError(
"op_MAKE_FUNCTION with annotations is not implemented"
)
if kwdefaults != None:
raise NotImplementedError("op_MAKE_FUNCTION with kwdefaults is not implemented")
if defaults:
if isinstance(defaults, tuple):
defaults = tuple([self.get(name) for name in defaults])
else:
defaults = self.get(defaults)
fcode = self.definitions[code][0].value
if name:
name = self.get(name)
if closure:
closure = self.get(closure)
expr = ir.Expr.make_function(name, fcode, closure, defaults, self.loc)
self.store(expr, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def op_CALL_FUNCTION_KW(self, inst, func, args, names, res):
func = self.get(func)
args = [self.get(x) for x in args]
# Find names const
names = self.get(names)
for inst in self.current_block.body:
if isinstance(inst, ir.Assign) and inst.target is names:
self.current_block.remove(inst)
# scan up the block looking for the values, remove them
# and find their name strings
named_items = []
for x in inst.value.items:
for y in self.current_block.body[::-1]:
if x == y.target:
self.current_block.remove(y)
named_items.append(y.value.value)
break
keys = named_items
break
nkeys = len(keys)
posvals = args[:-nkeys]
kwvals = args[-nkeys:]
keyvalues = list(zip(keys, kwvals))
expr = ir.Expr.call(func, posvals, keyvalues, loc=self.loc)
self.store(expr, res)
|
def op_CALL_FUNCTION_KW(self, inst, func, args, names, res):
func = self.get(func)
args = [self.get(x) for x in args]
# Find names const
names = self.get(names)
for inst in self.current_block.body:
if isinstance(inst, ir.Assign) and inst.target is names:
self.current_block.remove(inst)
keys = inst.value.value
break
nkeys = len(keys)
posvals = args[:-nkeys]
kwvals = args[-nkeys:]
keyvalues = list(zip(keys, kwvals))
expr = ir.Expr.call(func, posvals, keyvalues, loc=self.loc)
self.store(expr, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def dump(self, file=None):
from numba.six import StringIO
nofile = file is None
# Avoid early bind of sys.stdout as default value
file = file or StringIO()
for offset, block in sorted(self.blocks.items()):
print("label %s:" % (offset,), file=file)
block.dump(file=file)
if nofile:
text = file.getvalue()
if config.HIGHLIGHT_DUMPS:
try:
import pygments
except ImportError:
msg = "Please install pygments to see highlighted dumps"
raise ValueError(msg)
else:
from pygments import highlight
from pygments.lexers import DelphiLexer as lexer
from pygments.formatters import Terminal256Formatter
print(highlight(text, lexer(), Terminal256Formatter()))
else:
print(text)
|
def dump(self, file=None):
# Avoid early bind of sys.stdout as default value
file = file or sys.stdout
for offset, block in sorted(self.blocks.items()):
print("label %s:" % (offset,), file=file)
block.dump(file=file)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def render_dot(self, filename_prefix="numba_ir", include_ir=True):
"""Render the CFG of the IR with GraphViz DOT via the
``graphviz`` python binding.
Returns
-------
g : graphviz.Digraph
Use `g.view()` to open the graph in the default PDF application.
"""
try:
import graphviz as gv
except ImportError:
raise ImportError(
"The feature requires `graphviz` but it is not available. "
"Please install with `pip install graphviz`"
)
g = gv.Digraph(
filename="{}{}.dot".format(
filename_prefix,
self.func_id.unique_name,
)
)
# Populate the nodes
for k, blk in self.blocks.items():
with StringIO() as sb:
blk.dump(sb)
label = sb.getvalue()
if include_ir:
label = "".join(
[" {}\l".format(x) for x in label.splitlines()],
)
label = "block {}\l".format(k) + label
g.node(str(k), label=label, shape="rect")
else:
label = "{}\l".format(k)
g.node(str(k), label=label, shape="circle")
# Populate the edges
for src, blk in self.blocks.items():
for dst in blk.terminator.get_targets():
g.edge(str(src), str(dst))
return g
|
def render_dot(self, filename_prefix="numba_ir"):
"""Render the CFG of the IR with GraphViz DOT via the
``graphviz`` python binding.
Returns
-------
g : graphviz.Digraph
Use `g.view()` to open the graph in the default PDF application.
"""
try:
import graphviz as gv
except ImportError:
raise ImportError(
"The feature requires `graphviz` but it is not available. "
"Please install with `pip install graphviz`"
)
g = gv.Digraph(
filename="{}{}.dot".format(
filename_prefix,
self.func_id.unique_name,
)
)
# Populate the nodes
for k, blk in self.blocks.items():
with StringIO() as sb:
blk.dump(sb)
label = sb.getvalue()
label = "".join(
[" {}\l".format(x) for x in label.splitlines()],
)
label = "block {}\l".format(k) + label
g.node(str(k), label=label, shape="rect")
# Populate the edges
for src, blk in self.blocks.items():
for dst in blk.terminator.get_targets():
g.edge(str(src), str(dst))
return g
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def visit_vars_inner(node, callback, cbdata):
if isinstance(node, ir.Var):
return callback(node, cbdata)
elif isinstance(node, list):
return [visit_vars_inner(n, callback, cbdata) for n in node]
elif isinstance(node, tuple):
return tuple([visit_vars_inner(n, callback, cbdata) for n in node])
elif isinstance(node, ir.Expr):
# if node.op in ['binop', 'inplace_binop']:
# lhs = node.lhs.name
# rhs = node.rhs.name
# node.lhs.name = callback, cbdata.get(lhs, lhs)
# node.rhs.name = callback, cbdata.get(rhs, rhs)
for arg in node._kws.keys():
node._kws[arg] = visit_vars_inner(node._kws[arg], callback, cbdata)
elif isinstance(node, ir.Yield):
node.value = visit_vars_inner(node.value, callback, cbdata)
return node
|
def visit_vars_inner(node, callback, cbdata):
if isinstance(node, ir.Var):
return callback(node, cbdata)
elif isinstance(node, list):
return [visit_vars_inner(n, callback, cbdata) for n in node]
elif isinstance(node, tuple):
return tuple([visit_vars_inner(n, callback, cbdata) for n in node])
elif isinstance(node, ir.Expr):
# if node.op in ['binop', 'inplace_binop']:
# lhs = node.lhs.name
# rhs = node.rhs.name
# node.lhs.name = callback, cbdata.get(lhs, lhs)
# node.rhs.name = callback, cbdata.get(rhs, rhs)
for arg in node._kws.keys():
node._kws[arg] = visit_vars_inner(node._kws[arg], callback, cbdata)
return node
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def find_topo_order(blocks, cfg=None):
"""find topological order of blocks such that true branches are visited
first (e.g. for_break test in test_dataflow).
"""
if cfg is None:
cfg = compute_cfg_from_blocks(blocks)
post_order = []
seen = set()
def _dfs_rec(node):
if node not in seen:
seen.add(node)
succs = cfg._succs[node]
last_inst = blocks[node].body[-1]
if isinstance(last_inst, ir.Branch):
succs = [last_inst.falsebr, last_inst.truebr]
for dest in succs:
if (node, dest) not in cfg._back_edges:
_dfs_rec(dest)
post_order.append(node)
_dfs_rec(cfg.entry_point())
post_order.reverse()
return post_order
|
def find_topo_order(blocks, cfg=None):
"""find topological order of blocks such that true branches are visited
first (e.g. for_break test in test_dataflow).
"""
if cfg == None:
cfg = compute_cfg_from_blocks(blocks)
post_order = []
seen = set()
def _dfs_rec(node):
if node not in seen:
seen.add(node)
succs = cfg._succs[node]
last_inst = blocks[node].body[-1]
if isinstance(last_inst, ir.Branch):
succs = [last_inst.falsebr, last_inst.truebr]
for dest in succs:
if (node, dest) not in cfg._back_edges:
_dfs_rec(dest)
post_order.append(node)
_dfs_rec(cfg.entry_point())
post_order.reverse()
return post_order
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def merge_adjacent_blocks(blocks):
cfg = compute_cfg_from_blocks(blocks)
# merge adjacent blocks
removed = set()
for label in list(blocks.keys()):
if label in removed:
continue
block = blocks[label]
succs = list(cfg.successors(label))
while True:
if len(succs) != 1:
break
next_label = succs[0][0]
if next_label in removed:
break
preds = list(cfg.predecessors(next_label))
succs = list(cfg.successors(next_label))
if len(preds) != 1 or preds[0][0] != label:
break
next_block = blocks[next_label]
# XXX: commented out since scope objects are not consistent
# throughout the compiler. for example, pieces of code are compiled
# and inlined on the fly without proper scope merge.
# if block.scope != next_block.scope:
# break
# merge
block.body.pop() # remove Jump
block.body += next_block.body
del blocks[next_label]
removed.add(next_label)
label = next_label
|
def merge_adjacent_blocks(blocks):
cfg = compute_cfg_from_blocks(blocks)
# merge adjacent blocks
removed = set()
for label in list(blocks.keys()):
if label in removed:
continue
block = blocks[label]
succs = list(cfg.successors(label))
while True:
if len(succs) != 1:
break
next_label = succs[0][0]
if next_label in removed:
break
preds = list(cfg.predecessors(next_label))
succs = list(cfg.successors(next_label))
if len(preds) != 1 or preds[0][0] != label:
break
next_block = blocks[next_label]
# XXX: commented out since scope objects are not consistent
# thoughout the compiler. for example, pieces of code are compiled
# and inlined on the fly without proper scope merge.
# if block.scope != next_block.scope:
# break
# merge
block.body.pop() # remove Jump
block.body += next_block.body
del blocks[next_label]
removed.add(next_label)
label = next_label
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def convert_code_obj_to_function(code_obj, caller_ir):
"""
Converts a code object from a `make_function.code` attr in the IR into a
python function, caller_ir is the FunctionIR of the caller and is used for
the resolution of freevars.
"""
fcode = code_obj.code
nfree = len(fcode.co_freevars)
# try and resolve freevars if they are consts in the caller's IR
# these can be baked into the new function
freevars = []
for x in fcode.co_freevars:
# not using guard here to differentiate between multiple definition and
# non-const variable
try:
freevar_def = caller_ir.get_definition(x)
except KeyError:
msg = (
"Cannot capture a constant value for variable '%s' as there "
"are multiple definitions present." % x
)
raise TypingError(msg, loc=code_obj.loc)
if isinstance(freevar_def, ir.Const):
freevars.append(freevar_def.value)
else:
msg = (
"Cannot capture the non-constant value associated with "
"variable '%s' in a function that will escape." % x
)
raise TypingError(msg, loc=code_obj.loc)
func_env = "\n".join([" c_%d = %s" % (i, x) for i, x in enumerate(freevars)])
func_clo = ",".join(["c_%d" % i for i in range(nfree)])
co_varnames = list(fcode.co_varnames)
# This is horrible. The code object knows about the number of args present
# it also knows the name of the args but these are bundled in with other
# vars in `co_varnames`. The make_function IR node knows what the defaults
# are, they are defined in the IR as consts. The following finds the total
# number of args (args + kwargs with defaults), finds the default values
# and infers the number of "kwargs with defaults" from this and then infers
# the number of actual arguments from that.
n_kwargs = 0
n_allargs = fcode.co_argcount
kwarg_defaults = caller_ir.get_definition(code_obj.defaults)
if kwarg_defaults is not None:
if isinstance(kwarg_defaults, tuple):
d = [caller_ir.get_definition(x).value for x in kwarg_defaults]
kwarg_defaults_tup = tuple(d)
else:
d = [caller_ir.get_definition(x).value for x in kwarg_defaults.items]
kwarg_defaults_tup = tuple(d)
n_kwargs = len(kwarg_defaults_tup)
nargs = n_allargs - n_kwargs
func_arg = ",".join(["%s" % (co_varnames[i]) for i in range(nargs)])
if n_kwargs:
kw_const = [
"%s = %s" % (co_varnames[i + nargs], kwarg_defaults_tup[i])
for i in range(n_kwargs)
]
func_arg += ", "
func_arg += ", ".join(kw_const)
# globals are the same as those in the caller
glbls = caller_ir.func_id.func.__globals__
# create the function and return it
return _create_function_from_code_obj(fcode, func_env, func_arg, func_clo, glbls)
|
def convert_code_obj_to_function(code_obj, caller_ir):
"""
Converts a code object from a `make_function.code` attr in the IR into a
python function, caller_ir is the FunctionIR of the caller and is used for
the resolution of freevars.
"""
fcode = code_obj.code
nfree = len(fcode.co_freevars)
# try and resolve freevars if they are consts in the caller's IR
# these can be baked into the new function
freevars = []
for x in fcode.co_freevars:
# not using guard here to differentiate between multiple definition and
# non-const variable
try:
freevar_def = caller_ir.get_definition(x)
except KeyError:
msg = (
"Cannot capture a constant value for variable '%s' as there "
"are multiple definitions present." % x
)
raise TypingError(msg, loc=code_obj.loc)
if isinstance(freevar_def, ir.Const):
freevars.append(freevar_def.value)
else:
msg = (
"Cannot capture the non-constant value associated with "
"variable '%s' in a function that will escape." % x
)
raise TypingError(msg, loc=code_obj.loc)
func_env = "\n".join([" c_%d = %s" % (i, x) for i, x in enumerate(freevars)])
func_clo = ",".join(["c_%d" % i for i in range(nfree)])
co_varnames = list(fcode.co_varnames)
# This is horrible. The code object knows about the number of args present
# it also knows the name of the args but these are bundled in with other
# vars in `co_varnames`. The make_function IR node knows what the defaults
# are, they are defined in the IR as consts. The following finds the total
# number of args (args + kwargs with defaults), finds the default values
# and infers the number of "kwargs with defaults" from this and then infers
# the number of actual arguments from that.
n_kwargs = 0
n_allargs = fcode.co_argcount
kwarg_defaults = caller_ir.get_definition(code_obj.defaults)
if kwarg_defaults is not None:
if isinstance(kwarg_defaults, tuple):
d = [caller_ir.get_definition(x).value for x in kwarg_defaults]
kwarg_defaults_tup = tuple(d)
else:
kwarg_defaults_tup = kwarg_defaults.value
n_kwargs = len(kwarg_defaults_tup)
nargs = n_allargs - n_kwargs
func_arg = ",".join(["%s" % (co_varnames[i]) for i in range(nargs)])
if n_kwargs:
kw_const = [
"%s = %s" % (co_varnames[i + nargs], kwarg_defaults_tup[i])
for i in range(n_kwargs)
]
func_arg += ", "
func_arg += ", ".join(kw_const)
# globals are the same as those in the caller
glbls = caller_ir.func_id.func.__globals__
# create the function and return it
return _create_function_from_code_obj(fcode, func_env, func_arg, func_clo, glbls)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def impl_extend(l, iterable):
if not isinstance(l, types.ListType):
return
if not isinstance(iterable, types.IterableType):
raise TypingError("extend argument must be iterable")
def select_impl():
if isinstance(iterable, types.ListType):
def impl(l, iterable):
# guard against l.extend(l)
if l is iterable:
iterable = iterable.copy()
for i in iterable:
l.append(i)
return impl
else:
def impl(l, iterable):
for i in iterable:
l.append(i)
return impl
if l.is_precise():
# Handle the precise case.
return select_impl()
else:
# Handle the imprecise case, try to 'guess' the underlying type of the
# values in the iterable.
if hasattr(iterable, "dtype"): # tuples and arrays
ty = iterable.dtype
elif hasattr(iterable, "item_type"): # lists
ty = iterable.item_type
elif hasattr(iterable, "yield_type"): # iterators and generators
ty = iterable.yield_type
else:
raise TypingError(
"unable to extend list, iterable is missing "
"either *dtype*, *item_type* or *yield_type*."
)
l = l.refine(ty)
# Create the signature that we wanted this impl to have
sig = typing.signature(types.void, l, iterable)
return sig, select_impl()
|
def impl_extend(l, iterable):
if not isinstance(l, types.ListType):
return
if not isinstance(iterable, types.IterableType):
raise TypingError("extend argument must be iterable")
def select_impl():
if isinstance(iterable, types.ListType):
def impl(l, iterable):
# guard against l.extend(l)
if l is iterable:
iterable = iterable.copy()
for i in iterable:
l.append(i)
return impl
else:
def impl(l, iterable):
for i in iterable:
l.append(i)
return impl
if l.is_precise():
# Handle the precise case.
return select_impl()
else:
# Handle the imprecise case, try to 'guess' the underlying type of the
# values in the iterable.
if hasattr(iterable, "dtype"): # tuples and arrays
ty = iterable.dtype
elif hasattr(iterable, "item_type"): # lists
ty = iterable.item_type
else:
raise TypingError(
"unable to extend list, iterable is missing "
"either *dtype* or *item_type*"
)
l = l.refine(ty)
# Create the signature that we wanted this impl to have
sig = typing.signature(types.void, l, iterable)
return sig, select_impl()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def impl_copy(l):
itemty = l.item_type
if isinstance(l, types.ListType):
def impl(l):
newl = new_list(itemty, len(l))
for i in l:
newl.append(i)
return newl
return impl
|
def impl_copy(l):
if isinstance(l, types.ListType):
def impl(l):
return l[:]
return impl
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def impl(l):
newl = new_list(itemty, len(l))
for i in l:
newl.append(i)
return newl
|
def impl(l):
return l[:]
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def compare_helper(this, other, accepted):
if not isinstance(this, types.ListType):
return
if not isinstance(other, types.ListType):
return lambda this, other: False
def impl(this, other):
return compare(this, other) in accepted
return impl
|
def compare_helper(this, other, accepted):
if not isinstance(this, types.ListType):
return
if not isinstance(other, types.ListType):
raise TypingError("list can only be compared to list")
def impl(this, other):
return compare(this, other) in accepted
return impl
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def return_exception(self, exc_class, exc_args=None, loc=None):
"""Propagate exception to the caller."""
self.call_conv.return_user_exc(
self.builder,
exc_class,
exc_args,
loc=loc,
func_name=self.func_ir.func_id.func_name,
)
|
def return_exception(self, exc_class, exc_args=None, loc=None):
self.call_conv.return_user_exc(
self.builder,
exc_class,
exc_args,
loc=loc,
func_name=self.func_ir.func_id.func_name,
)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def lower(self):
# Emit the Env into the module
self.emit_environment_object()
if self.generator_info is None:
self.genlower = None
self.lower_normal_function(self.fndesc)
else:
self.genlower = self.GeneratorLower(self)
self.gentype = self.genlower.gentype
self.genlower.lower_init_func(self)
self.genlower.lower_next_func(self)
if self.gentype.has_finalizer:
self.genlower.lower_finalize_func(self)
if config.DUMP_LLVM:
print(("LLVM DUMP %s" % self.fndesc).center(80, "-"))
if config.HIGHLIGHT_DUMPS:
try:
from pygments import highlight
from pygments.lexers import LlvmLexer as lexer
from pygments.formatters import Terminal256Formatter
print(
highlight(
self.module.__repr__(),
lexer(),
Terminal256Formatter(style="solarized-light"),
)
)
except ImportError:
msg = "Please install pygments to see highlighted dumps"
raise ValueError(msg)
else:
print(self.module)
print("=" * 80)
# Special optimization to remove NRT on functions that do not need it.
if self.context.enable_nrt and self.generator_info is None:
removerefctpass.remove_unnecessary_nrt_usage(
self.function, context=self.context, fndesc=self.fndesc
)
# Run target specific post lowering transformation
self.context.post_lowering(self.module, self.library)
# Materialize LLVM Module
self.library.add_ir_module(self.module)
|
def lower(self):
# Emit the Env into the module
self.emit_environment_object()
if self.generator_info is None:
self.genlower = None
self.lower_normal_function(self.fndesc)
else:
self.genlower = self.GeneratorLower(self)
self.gentype = self.genlower.gentype
self.genlower.lower_init_func(self)
self.genlower.lower_next_func(self)
if self.gentype.has_finalizer:
self.genlower.lower_finalize_func(self)
if config.DUMP_LLVM:
print(("LLVM DUMP %s" % self.fndesc).center(80, "-"))
print(self.module)
print("=" * 80)
# Special optimization to remove NRT on functions that do not need it.
if self.context.enable_nrt and self.generator_info is None:
removerefctpass.remove_unnecessary_nrt_usage(
self.function, context=self.context, fndesc=self.fndesc
)
# Run target specific post lowering transformation
self.context.post_lowering(self.module, self.library)
# Materialize LLVM Module
self.library.add_ir_module(self.module)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def lower_block(self, block):
"""
Lower the given block.
"""
self.pre_block(block)
for inst in block.body:
self.loc = inst.loc
defaulterrcls = partial(LoweringError, loc=self.loc)
with new_error_context(
'lowering "{inst}" at {loc}', inst=inst, loc=self.loc, errcls_=defaulterrcls
):
self.lower_inst(inst)
self.post_block(block)
|
def lower_block(self, block):
"""
Lower the given block.
"""
self.pre_block(block)
for inst in block.body:
self.loc = inst.loc
defaulterrcls = partial(LoweringError, loc=self.loc)
with new_error_context(
'lowering "{inst}" at {loc}', inst=inst, loc=self.loc, errcls_=defaulterrcls
):
self.lower_inst(inst)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def lower_inst(self, inst):
# Set debug location for all subsequent LL instructions
self.debuginfo.mark_location(self.builder, self.loc)
self.debug_print(str(inst))
if isinstance(inst, ir.Assign):
ty = self.typeof(inst.target.name)
val = self.lower_assign(ty, inst)
self.storevar(val, inst.target.name)
elif isinstance(inst, ir.Branch):
cond = self.loadvar(inst.cond.name)
tr = self.blkmap[inst.truebr]
fl = self.blkmap[inst.falsebr]
condty = self.typeof(inst.cond.name)
pred = self.context.cast(self.builder, cond, condty, types.boolean)
assert pred.type == Type.int(1), "cond is not i1: %s" % pred.type
self.builder.cbranch(pred, tr, fl)
elif isinstance(inst, ir.Jump):
target = self.blkmap[inst.target]
self.builder.branch(target)
elif isinstance(inst, ir.Return):
if self.generator_info:
# StopIteration
self.genlower.return_from_generator(self)
return
val = self.loadvar(inst.value.name)
oty = self.typeof(inst.value.name)
ty = self.fndesc.restype
if isinstance(ty, types.Optional):
# If returning an optional type
self.call_conv.return_optional_value(self.builder, ty, oty, val)
return
if ty != oty:
val = self.context.cast(self.builder, val, oty, ty)
retval = self.context.get_return_value(self.builder, ty, val)
self.call_conv.return_value(self.builder, retval)
elif isinstance(inst, ir.StaticSetItem):
signature = self.fndesc.calltypes[inst]
assert signature is not None
try:
impl = self.context.get_function("static_setitem", signature)
except NotImplementedError:
return self.lower_setitem(
inst.target, inst.index_var, inst.value, signature
)
else:
target = self.loadvar(inst.target.name)
value = self.loadvar(inst.value.name)
valuety = self.typeof(inst.value.name)
value = self.context.cast(self.builder, value, valuety, signature.args[2])
return impl(self.builder, (target, inst.index, value))
elif isinstance(inst, ir.Print):
self.lower_print(inst)
elif isinstance(inst, ir.SetItem):
signature = self.fndesc.calltypes[inst]
assert signature is not None
return self.lower_setitem(inst.target, inst.index, inst.value, signature)
elif isinstance(inst, ir.StoreMap):
signature = self.fndesc.calltypes[inst]
assert signature is not None
return self.lower_setitem(inst.dct, inst.key, inst.value, signature)
elif isinstance(inst, ir.DelItem):
target = self.loadvar(inst.target.name)
index = self.loadvar(inst.index.name)
targetty = self.typeof(inst.target.name)
indexty = self.typeof(inst.index.name)
signature = self.fndesc.calltypes[inst]
assert signature is not None
op = operator.delitem
fnop = self.context.typing_context.resolve_value_type(op)
callsig = fnop.get_call_type(
self.context.typing_context,
signature.args,
{},
)
impl = self.context.get_function(fnop, callsig)
assert targetty == signature.args[0]
index = self.context.cast(self.builder, index, indexty, signature.args[1])
return impl(self.builder, (target, index))
elif isinstance(inst, ir.Del):
self.delvar(inst.value)
elif isinstance(inst, ir.SetAttr):
target = self.loadvar(inst.target.name)
value = self.loadvar(inst.value.name)
signature = self.fndesc.calltypes[inst]
targetty = self.typeof(inst.target.name)
valuety = self.typeof(inst.value.name)
assert signature is not None
assert signature.args[0] == targetty
impl = self.context.get_setattr(inst.attr, signature)
# Convert argument to match
value = self.context.cast(self.builder, value, valuety, signature.args[1])
return impl(self.builder, (target, value))
elif isinstance(inst, ir.StaticRaise):
self.lower_static_raise(inst)
elif isinstance(inst, ir.StaticTryRaise):
self.lower_static_try_raise(inst)
else:
for _class, func in lower_extensions.items():
if isinstance(inst, _class):
func(self, inst)
return
raise NotImplementedError(type(inst))
|
def lower_inst(self, inst):
# Set debug location for all subsequent LL instructions
self.debuginfo.mark_location(self.builder, self.loc)
self.debug_print(str(inst))
if isinstance(inst, ir.Assign):
ty = self.typeof(inst.target.name)
val = self.lower_assign(ty, inst)
self.storevar(val, inst.target.name)
elif isinstance(inst, ir.Branch):
cond = self.loadvar(inst.cond.name)
tr = self.blkmap[inst.truebr]
fl = self.blkmap[inst.falsebr]
condty = self.typeof(inst.cond.name)
pred = self.context.cast(self.builder, cond, condty, types.boolean)
assert pred.type == Type.int(1), "cond is not i1: %s" % pred.type
self.builder.cbranch(pred, tr, fl)
elif isinstance(inst, ir.Jump):
target = self.blkmap[inst.target]
self.builder.branch(target)
elif isinstance(inst, ir.Return):
if self.generator_info:
# StopIteration
self.genlower.return_from_generator(self)
return
val = self.loadvar(inst.value.name)
oty = self.typeof(inst.value.name)
ty = self.fndesc.restype
if isinstance(ty, types.Optional):
# If returning an optional type
self.call_conv.return_optional_value(self.builder, ty, oty, val)
return
if ty != oty:
val = self.context.cast(self.builder, val, oty, ty)
retval = self.context.get_return_value(self.builder, ty, val)
self.call_conv.return_value(self.builder, retval)
elif isinstance(inst, ir.StaticSetItem):
signature = self.fndesc.calltypes[inst]
assert signature is not None
try:
impl = self.context.get_function("static_setitem", signature)
except NotImplementedError:
return self.lower_setitem(
inst.target, inst.index_var, inst.value, signature
)
else:
target = self.loadvar(inst.target.name)
value = self.loadvar(inst.value.name)
valuety = self.typeof(inst.value.name)
value = self.context.cast(self.builder, value, valuety, signature.args[2])
return impl(self.builder, (target, inst.index, value))
elif isinstance(inst, ir.Print):
self.lower_print(inst)
elif isinstance(inst, ir.SetItem):
signature = self.fndesc.calltypes[inst]
assert signature is not None
return self.lower_setitem(inst.target, inst.index, inst.value, signature)
elif isinstance(inst, ir.StoreMap):
signature = self.fndesc.calltypes[inst]
assert signature is not None
return self.lower_setitem(inst.dct, inst.key, inst.value, signature)
elif isinstance(inst, ir.DelItem):
target = self.loadvar(inst.target.name)
index = self.loadvar(inst.index.name)
targetty = self.typeof(inst.target.name)
indexty = self.typeof(inst.index.name)
signature = self.fndesc.calltypes[inst]
assert signature is not None
op = operator.delitem
fnop = self.context.typing_context.resolve_value_type(op)
callsig = fnop.get_call_type(
self.context.typing_context,
signature.args,
{},
)
impl = self.context.get_function(fnop, callsig)
assert targetty == signature.args[0]
index = self.context.cast(self.builder, index, indexty, signature.args[1])
return impl(self.builder, (target, index))
elif isinstance(inst, ir.Del):
self.delvar(inst.value)
elif isinstance(inst, ir.SetAttr):
target = self.loadvar(inst.target.name)
value = self.loadvar(inst.value.name)
signature = self.fndesc.calltypes[inst]
targetty = self.typeof(inst.target.name)
valuety = self.typeof(inst.value.name)
assert signature is not None
assert signature.args[0] == targetty
impl = self.context.get_setattr(inst.attr, signature)
# Convert argument to match
value = self.context.cast(self.builder, value, valuety, signature.args[1])
return impl(self.builder, (target, value))
elif isinstance(inst, ir.StaticRaise):
self.lower_static_raise(inst)
else:
for _class, func in lower_extensions.items():
if isinstance(inst, _class):
func(self, inst)
return
raise NotImplementedError(type(inst))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def lower_expr(self, resty, expr):
if expr.op == "binop":
return self.lower_binop(resty, expr, expr.fn)
elif expr.op == "inplace_binop":
lty = self.typeof(expr.lhs.name)
if lty.mutable:
return self.lower_binop(resty, expr, expr.fn)
else:
# inplace operators on non-mutable types reuse the same
# definition as the corresponding copying operators.)
return self.lower_binop(resty, expr, expr.immutable_fn)
elif expr.op == "unary":
val = self.loadvar(expr.value.name)
typ = self.typeof(expr.value.name)
func_ty = self.context.typing_context.resolve_value_type(expr.fn)
# Get function
signature = self.fndesc.calltypes[expr]
impl = self.context.get_function(func_ty, signature)
# Convert argument to match
val = self.context.cast(self.builder, val, typ, signature.args[0])
res = impl(self.builder, [val])
res = self.context.cast(self.builder, res, signature.return_type, resty)
return res
elif expr.op == "call":
res = self.lower_call(resty, expr)
return res
elif expr.op == "pair_first":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
res = self.context.pair_first(self.builder, val, ty)
self.incref(resty, res)
return res
elif expr.op == "pair_second":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
res = self.context.pair_second(self.builder, val, ty)
self.incref(resty, res)
return res
elif expr.op in ("getiter", "iternext"):
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
signature = self.fndesc.calltypes[expr]
impl = self.context.get_function(expr.op, signature)
[fty] = signature.args
castval = self.context.cast(self.builder, val, ty, fty)
res = impl(self.builder, (castval,))
res = self.context.cast(self.builder, res, signature.return_type, resty)
return res
elif expr.op == "exhaust_iter":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
# Unpack optional
if isinstance(ty, types.Optional):
val = self.context.cast(self.builder, val, ty, ty.type)
ty = ty.type
# If we have a tuple, we needn't do anything
# (and we can't iterate over the heterogeneous ones).
if isinstance(ty, types.BaseTuple):
assert ty == resty
self.incref(ty, val)
return val
itemty = ty.iterator_type.yield_type
tup = self.context.get_constant_undef(resty)
pairty = types.Pair(itemty, types.boolean)
getiter_sig = typing.signature(ty.iterator_type, ty)
getiter_impl = self.context.get_function("getiter", getiter_sig)
iternext_sig = typing.signature(pairty, ty.iterator_type)
iternext_impl = self.context.get_function("iternext", iternext_sig)
iterobj = getiter_impl(self.builder, (val,))
# We call iternext() as many times as desired (`expr.count`).
for i in range(expr.count):
pair = iternext_impl(self.builder, (iterobj,))
is_valid = self.context.pair_second(self.builder, pair, pairty)
with cgutils.if_unlikely(self.builder, self.builder.not_(is_valid)):
self.return_exception(ValueError, loc=self.loc)
item = self.context.pair_first(self.builder, pair, pairty)
tup = self.builder.insert_value(tup, item, i)
# Call iternext() once more to check that the iterator
# is exhausted.
pair = iternext_impl(self.builder, (iterobj,))
is_valid = self.context.pair_second(self.builder, pair, pairty)
with cgutils.if_unlikely(self.builder, is_valid):
self.return_exception(ValueError, loc=self.loc)
self.decref(ty.iterator_type, iterobj)
return tup
elif expr.op == "getattr":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
if isinstance(resty, types.BoundFunction):
# if we are getting out a method, assume we have typed this
# properly and just build a bound function object
casted = self.context.cast(self.builder, val, ty, resty.this)
res = self.context.get_bound_function(self.builder, casted, resty.this)
self.incref(resty, res)
return res
else:
impl = self.context.get_getattr(ty, expr.attr)
attrty = self.context.typing_context.resolve_getattr(ty, expr.attr)
if impl is None:
# ignore the attribute
return self.context.get_dummy_value()
else:
res = impl(self.context, self.builder, ty, val, expr.attr)
# Cast the attribute type to the expected output type
res = self.context.cast(self.builder, res, attrty, resty)
return res
elif expr.op == "static_getitem":
signature = typing.signature(
resty,
self.typeof(expr.value.name),
_lit_or_omitted(expr.index),
)
try:
# Both get_function() and the returned implementation can
# raise NotImplementedError if the types aren't supported
impl = self.context.get_function("static_getitem", signature)
return impl(self.builder, (self.loadvar(expr.value.name), expr.index))
except NotImplementedError:
if expr.index_var is None:
raise
# Fall back on the generic getitem() implementation
# for this type.
signature = self.fndesc.calltypes[expr]
return self.lower_getitem(
resty, expr, expr.value, expr.index_var, signature
)
elif expr.op == "typed_getitem":
signature = typing.signature(
resty,
self.typeof(expr.value.name),
self.typeof(expr.index.name),
)
impl = self.context.get_function("typed_getitem", signature)
return impl(
self.builder, (self.loadvar(expr.value.name), self.loadvar(expr.index.name))
)
elif expr.op == "getitem":
signature = self.fndesc.calltypes[expr]
return self.lower_getitem(resty, expr, expr.value, expr.index, signature)
elif expr.op == "build_tuple":
itemvals = [self.loadvar(i.name) for i in expr.items]
itemtys = [self.typeof(i.name) for i in expr.items]
castvals = [
self.context.cast(self.builder, val, fromty, toty)
for val, toty, fromty in zip(itemvals, resty, itemtys)
]
tup = self.context.make_tuple(self.builder, resty, castvals)
self.incref(resty, tup)
return tup
elif expr.op == "build_list":
itemvals = [self.loadvar(i.name) for i in expr.items]
itemtys = [self.typeof(i.name) for i in expr.items]
castvals = [
self.context.cast(self.builder, val, fromty, resty.dtype)
for val, fromty in zip(itemvals, itemtys)
]
return self.context.build_list(self.builder, resty, castvals)
elif expr.op == "build_set":
# Insert in reverse order, as Python does
items = expr.items[::-1]
itemvals = [self.loadvar(i.name) for i in items]
itemtys = [self.typeof(i.name) for i in items]
castvals = [
self.context.cast(self.builder, val, fromty, resty.dtype)
for val, fromty in zip(itemvals, itemtys)
]
return self.context.build_set(self.builder, resty, castvals)
elif expr.op == "build_map":
items = expr.items
keys, values = [], []
key_types, value_types = [], []
for k, v in items:
key = self.loadvar(k.name)
keytype = self.typeof(k.name)
val = self.loadvar(v.name)
valtype = self.typeof(v.name)
keys.append(key)
values.append(val)
key_types.append(keytype)
value_types.append(valtype)
return self.context.build_map(
self.builder,
resty,
list(zip(key_types, value_types)),
list(zip(keys, values)),
)
elif expr.op == "cast":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
castval = self.context.cast(self.builder, val, ty, resty)
self.incref(resty, castval)
return castval
elif expr.op in self.context.special_ops:
res = self.context.special_ops[expr.op](self, expr)
return res
raise NotImplementedError(expr)
|
def lower_expr(self, resty, expr):
if expr.op == "binop":
return self.lower_binop(resty, expr, expr.fn)
elif expr.op == "inplace_binop":
lty = self.typeof(expr.lhs.name)
if lty.mutable:
return self.lower_binop(resty, expr, expr.fn)
else:
# inplace operators on non-mutable types reuse the same
# definition as the corresponding copying operators.)
return self.lower_binop(resty, expr, expr.immutable_fn)
elif expr.op == "unary":
val = self.loadvar(expr.value.name)
typ = self.typeof(expr.value.name)
func_ty = self.context.typing_context.resolve_value_type(expr.fn)
# Get function
signature = self.fndesc.calltypes[expr]
impl = self.context.get_function(func_ty, signature)
# Convert argument to match
val = self.context.cast(self.builder, val, typ, signature.args[0])
res = impl(self.builder, [val])
res = self.context.cast(self.builder, res, signature.return_type, resty)
return res
elif expr.op == "call":
res = self.lower_call(resty, expr)
return res
elif expr.op == "pair_first":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
res = self.context.pair_first(self.builder, val, ty)
self.incref(resty, res)
return res
elif expr.op == "pair_second":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
res = self.context.pair_second(self.builder, val, ty)
self.incref(resty, res)
return res
elif expr.op in ("getiter", "iternext"):
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
signature = self.fndesc.calltypes[expr]
impl = self.context.get_function(expr.op, signature)
[fty] = signature.args
castval = self.context.cast(self.builder, val, ty, fty)
res = impl(self.builder, (castval,))
res = self.context.cast(self.builder, res, signature.return_type, resty)
return res
elif expr.op == "exhaust_iter":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
# Unpack optional
if isinstance(ty, types.Optional):
val = self.context.cast(self.builder, val, ty, ty.type)
ty = ty.type
# If we have a tuple, we needn't do anything
# (and we can't iterate over the heterogeneous ones).
if isinstance(ty, types.BaseTuple):
assert ty == resty
self.incref(ty, val)
return val
itemty = ty.iterator_type.yield_type
tup = self.context.get_constant_undef(resty)
pairty = types.Pair(itemty, types.boolean)
getiter_sig = typing.signature(ty.iterator_type, ty)
getiter_impl = self.context.get_function("getiter", getiter_sig)
iternext_sig = typing.signature(pairty, ty.iterator_type)
iternext_impl = self.context.get_function("iternext", iternext_sig)
iterobj = getiter_impl(self.builder, (val,))
# We call iternext() as many times as desired (`expr.count`).
for i in range(expr.count):
pair = iternext_impl(self.builder, (iterobj,))
is_valid = self.context.pair_second(self.builder, pair, pairty)
with cgutils.if_unlikely(self.builder, self.builder.not_(is_valid)):
self.return_exception(ValueError, loc=self.loc)
item = self.context.pair_first(self.builder, pair, pairty)
tup = self.builder.insert_value(tup, item, i)
# Call iternext() once more to check that the iterator
# is exhausted.
pair = iternext_impl(self.builder, (iterobj,))
is_valid = self.context.pair_second(self.builder, pair, pairty)
with cgutils.if_unlikely(self.builder, is_valid):
self.return_exception(ValueError, loc=self.loc)
self.decref(ty.iterator_type, iterobj)
return tup
elif expr.op == "getattr":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
if isinstance(resty, types.BoundFunction):
# if we are getting out a method, assume we have typed this
# properly and just build a bound function object
casted = self.context.cast(self.builder, val, ty, resty.this)
res = self.context.get_bound_function(self.builder, casted, resty.this)
self.incref(resty, res)
return res
else:
impl = self.context.get_getattr(ty, expr.attr)
attrty = self.context.typing_context.resolve_getattr(ty, expr.attr)
if impl is None:
# ignore the attribute
return self.context.get_dummy_value()
else:
res = impl(self.context, self.builder, ty, val, expr.attr)
# Cast the attribute type to the expected output type
res = self.context.cast(self.builder, res, attrty, resty)
return res
elif expr.op == "static_getitem":
signature = typing.signature(
resty,
self.typeof(expr.value.name),
_lit_or_omitted(expr.index),
)
try:
# Both get_function() and the returned implementation can
# raise NotImplementedError if the types aren't supported
impl = self.context.get_function("static_getitem", signature)
return impl(self.builder, (self.loadvar(expr.value.name), expr.index))
except NotImplementedError:
if expr.index_var is None:
raise
# Fall back on the generic getitem() implementation
# for this type.
signature = self.fndesc.calltypes[expr]
return self.lower_getitem(
resty, expr, expr.value, expr.index_var, signature
)
elif expr.op == "getitem":
signature = self.fndesc.calltypes[expr]
return self.lower_getitem(resty, expr, expr.value, expr.index, signature)
elif expr.op == "build_tuple":
itemvals = [self.loadvar(i.name) for i in expr.items]
itemtys = [self.typeof(i.name) for i in expr.items]
castvals = [
self.context.cast(self.builder, val, fromty, toty)
for val, toty, fromty in zip(itemvals, resty, itemtys)
]
tup = self.context.make_tuple(self.builder, resty, castvals)
self.incref(resty, tup)
return tup
elif expr.op == "build_list":
itemvals = [self.loadvar(i.name) for i in expr.items]
itemtys = [self.typeof(i.name) for i in expr.items]
castvals = [
self.context.cast(self.builder, val, fromty, resty.dtype)
for val, fromty in zip(itemvals, itemtys)
]
return self.context.build_list(self.builder, resty, castvals)
elif expr.op == "build_set":
# Insert in reverse order, as Python does
items = expr.items[::-1]
itemvals = [self.loadvar(i.name) for i in items]
itemtys = [self.typeof(i.name) for i in items]
castvals = [
self.context.cast(self.builder, val, fromty, resty.dtype)
for val, fromty in zip(itemvals, itemtys)
]
return self.context.build_set(self.builder, resty, castvals)
elif expr.op == "build_map":
items = expr.items
keys, values = [], []
key_types, value_types = [], []
for k, v in items:
key = self.loadvar(k.name)
keytype = self.typeof(k.name)
val = self.loadvar(v.name)
valtype = self.typeof(v.name)
keys.append(key)
values.append(val)
key_types.append(keytype)
value_types.append(valtype)
return self.context.build_map(
self.builder,
resty,
list(zip(key_types, value_types)),
list(zip(keys, values)),
)
elif expr.op == "cast":
val = self.loadvar(expr.value.name)
ty = self.typeof(expr.value.name)
castval = self.context.cast(self.builder, val, ty, resty)
self.incref(resty, castval)
return castval
elif expr.op in self.context.special_ops:
res = self.context.special_ops[expr.op](self, expr)
return res
raise NotImplementedError(expr)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def pre_block(self, block):
from numba.unsafe import eh
super(Lower, self).pre_block(block)
# Detect if we are in a TRY block by looking for a call to
# `eh.exception_check`.
for call in block.find_exprs(op="call"):
defn = ir_utils.guard(
ir_utils.get_definition,
self.func_ir,
call.func,
)
if defn is not None and isinstance(defn, ir.Global):
if defn.value is eh.exception_check:
if isinstance(block.terminator, ir.Branch):
targetblk = self.blkmap[block.terminator.truebr]
# NOTE: This hacks in an attribute for call_conv to
# pick up. This hack is no longer needed when
# all old-style implementations are gone.
self.builder._in_try_block = {"target": targetblk}
break
|
def pre_block(self, block):
"""
Called before lowering a block.
"""
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __init__(self, func, identity=None, cache=False, targetoptions={}):
if cache:
raise TypeError("caching is not supported")
for opt in targetoptions:
if opt == "nopython":
warnings.warn("nopython kwarg for cuda target is redundant", RuntimeWarning)
else:
fmt = "cuda vectorize target does not support option: '%s'"
raise KeyError(fmt % opt)
self.py_func = func
self.identity = parse_identity(identity)
# { arg_dtype: (return_dtype), cudakernel }
self.kernelmap = OrderedDict()
|
def __init__(self, func, identity=None, cache=False, targetoptions={}):
if cache:
raise TypeError("caching is not supported")
assert not targetoptions
self.py_func = func
self.identity = parse_identity(identity)
# { arg_dtype: (return_dtype), cudakernel }
self.kernelmap = OrderedDict()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _replace_parallel_functions(self, blocks):
"""
Replace functions with their parallel implementation in
replace_functions_map if available.
The implementation code is inlined to enable more optimization.
"""
swapped = self.swapped
from numba.inline_closurecall import inline_closure_call
work_list = list(blocks.items())
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
lhs = instr.target
lhs_typ = self.typemap[lhs.name]
expr = instr.value
if isinstance(expr, ir.Expr) and expr.op == "call":
# Try and inline known calls with their parallel implementations
def replace_func():
func_def = get_definition(self.func_ir, expr.func)
callname = find_callname(self.func_ir, expr)
repl_func = replace_functions_map.get(callname, None)
if (
repl_func is None
and len(callname) == 2
and isinstance(callname[1], ir.Var)
and isinstance(
self.typemap[callname[1].name], types.npytypes.Array
)
):
repl_func = replace_functions_ndarray.get(callname[0], None)
if repl_func is not None:
# Add the array that the method is on to the arg list.
expr.args.insert(0, callname[1])
require(repl_func != None)
typs = tuple(self.typemap[x.name] for x in expr.args)
try:
new_func = repl_func(lhs_typ, *typs)
except:
new_func = None
require(new_func != None)
g = copy.copy(self.func_ir.func_id.func.__globals__)
g["numba"] = numba
g["np"] = numpy
g["math"] = math
# if the function being inlined has a function
# checking the inputs, find it and add it to globals
check = replace_functions_checkers_map.get(callname, None)
if check is not None:
g[check.name] = check.func
# inline the parallel implementation
new_blocks, _ = inline_closure_call(
self.func_ir,
g,
block,
i,
new_func,
self.typingctx,
typs,
self.typemap,
self.calltypes,
work_list,
)
call_table = get_call_table(
new_blocks, topological_ordering=False
)
# find the prange in the new blocks and record it for use in diagnostics
for call in call_table:
for k, v in call.items():
if v[0] == "internal_prange":
swapped[k] = [
callname,
repl_func.__name__,
func_def,
block.body[i].loc,
]
break
return True
if guard(replace_func):
break
elif (
isinstance(expr, ir.Expr)
and expr.op == "getattr"
and expr.attr == "dtype"
):
# Replace getattr call "A.dtype" with numpy.dtype(<actual type>).
# This helps remove superfluous dependencies from parfor.
typ = self.typemap[expr.value.name]
if isinstance(typ, types.npytypes.Array):
# Convert A.dtype to four statements.
# 1) Get numpy global.
# 2) Create var for known type of array as string
# constant. e.g. 'float64'
# 3) Get dtype function from numpy module.
# 4) Create var for numpy.dtype(var from #2).
# Create var for numpy module.
dtype = typ.dtype
scope = block.scope
loc = instr.loc
g_np_var = ir.Var(scope, mk_unique_var("$np_g_var"), loc)
self.typemap[g_np_var.name] = types.misc.Module(numpy)
g_np = ir.Global("np", numpy, loc)
g_np_assign = ir.Assign(g_np, g_np_var, loc)
# Create var for the inferred type of the array
# e.g., 'float64'
dtype_str = str(dtype)
if dtype_str == "bool":
dtype_str = "bool_"
typ_var = ir.Var(scope, mk_unique_var("$np_typ_var"), loc)
self.typemap[typ_var.name] = types.StringLiteral(dtype_str)
typ_var_assign = ir.Assign(
ir.Const(dtype_str, loc), typ_var, loc
)
# Get the dtype function from the numpy module.
dtype_attr_var = ir.Var(
scope, mk_unique_var("$dtype_attr_var"), loc
)
temp = find_template(numpy.dtype)
tfunc = numba.types.Function(temp)
tfunc.get_call_type(
self.typingctx, (self.typemap[typ_var.name],), {}
)
self.typemap[dtype_attr_var.name] = types.functions.Function(
temp
)
dtype_attr_getattr = ir.Expr.getattr(g_np_var, "dtype", loc)
dtype_attr_assign = ir.Assign(
dtype_attr_getattr, dtype_attr_var, loc
)
# Call numpy.dtype on the statically coded type two steps above.
dtype_var = ir.Var(scope, mk_unique_var("$dtype_var"), loc)
self.typemap[dtype_var.name] = types.npytypes.DType(dtype)
dtype_getattr = ir.Expr.call(dtype_attr_var, [typ_var], (), loc)
dtype_assign = ir.Assign(dtype_getattr, dtype_var, loc)
self.calltypes[dtype_getattr] = signature(
self.typemap[dtype_var.name], self.typemap[typ_var.name]
)
# The original A.dtype rhs is replaced with result of this call.
instr.value = dtype_var
# Add statements to body of the code.
block.body.insert(0, dtype_assign)
block.body.insert(0, dtype_attr_assign)
block.body.insert(0, typ_var_assign)
block.body.insert(0, g_np_assign)
break
|
def _replace_parallel_functions(self, blocks):
"""
Replace functions with their parallel implementation in
replace_functions_map if available.
The implementation code is inlined to enable more optimization.
"""
swapped = self.swapped
from numba.inline_closurecall import inline_closure_call
work_list = list(blocks.items())
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
lhs = instr.target
lhs_typ = self.typemap[lhs.name]
expr = instr.value
if isinstance(expr, ir.Expr) and expr.op == "call":
# Try and inline known calls with their parallel implementations
def replace_func():
func_def = get_definition(self.func_ir, expr.func)
callname = find_callname(self.func_ir, expr)
repl_func = replace_functions_map.get(callname, None)
require(repl_func != None)
typs = tuple(self.typemap[x.name] for x in expr.args)
try:
new_func = repl_func(lhs_typ, *typs)
except:
new_func = None
require(new_func != None)
g = copy.copy(self.func_ir.func_id.func.__globals__)
g["numba"] = numba
g["np"] = numpy
g["math"] = math
# if the function being inlined has a function
# checking the inputs, find it and add it to globals
check = replace_functions_checkers_map.get(callname, None)
if check is not None:
g[check.name] = check.func
# inline the parallel implementation
new_blocks, _ = inline_closure_call(
self.func_ir,
g,
block,
i,
new_func,
self.typingctx,
typs,
self.typemap,
self.calltypes,
work_list,
)
call_table = get_call_table(
new_blocks, topological_ordering=False
)
# find the prange in the new blocks and record it for use in diagnostics
for call in call_table:
for k, v in call.items():
if v[0] == "internal_prange":
swapped[k] = [
callname,
repl_func.__name__,
func_def,
block.body[i].loc,
]
break
return True
if guard(replace_func):
break
elif (
isinstance(expr, ir.Expr)
and expr.op == "getattr"
and expr.attr == "dtype"
):
# Replace getattr call "A.dtype" with numpy.dtype(<actual type>).
# This helps remove superfluous dependencies from parfor.
typ = self.typemap[expr.value.name]
if isinstance(typ, types.npytypes.Array):
# Convert A.dtype to four statements.
# 1) Get numpy global.
# 2) Create var for known type of array as string
# constant. e.g. 'float64'
# 3) Get dtype function from numpy module.
# 4) Create var for numpy.dtype(var from #2).
# Create var for numpy module.
dtype = typ.dtype
scope = block.scope
loc = instr.loc
g_np_var = ir.Var(scope, mk_unique_var("$np_g_var"), loc)
self.typemap[g_np_var.name] = types.misc.Module(numpy)
g_np = ir.Global("np", numpy, loc)
g_np_assign = ir.Assign(g_np, g_np_var, loc)
# Create var for the inferred type of the array
# e.g., 'float64'
dtype_str = str(dtype)
if dtype_str == "bool":
dtype_str = "bool_"
typ_var = ir.Var(scope, mk_unique_var("$np_typ_var"), loc)
self.typemap[typ_var.name] = types.StringLiteral(dtype_str)
typ_var_assign = ir.Assign(
ir.Const(dtype_str, loc), typ_var, loc
)
# Get the dtype function from the numpy module.
dtype_attr_var = ir.Var(
scope, mk_unique_var("$dtype_attr_var"), loc
)
temp = find_template(numpy.dtype)
tfunc = numba.types.Function(temp)
tfunc.get_call_type(
self.typingctx, (self.typemap[typ_var.name],), {}
)
self.typemap[dtype_attr_var.name] = types.functions.Function(
temp
)
dtype_attr_getattr = ir.Expr.getattr(g_np_var, "dtype", loc)
dtype_attr_assign = ir.Assign(
dtype_attr_getattr, dtype_attr_var, loc
)
# Call numpy.dtype on the statically coded type two steps above.
dtype_var = ir.Var(scope, mk_unique_var("$dtype_var"), loc)
self.typemap[dtype_var.name] = types.npytypes.DType(dtype)
dtype_getattr = ir.Expr.call(dtype_attr_var, [typ_var], (), loc)
dtype_assign = ir.Assign(dtype_getattr, dtype_var, loc)
self.calltypes[dtype_getattr] = signature(
self.typemap[dtype_var.name], self.typemap[typ_var.name]
)
# The original A.dtype rhs is replaced with result of this call.
instr.value = dtype_var
# Add statements to body of the code.
block.body.insert(0, dtype_assign)
block.body.insert(0, dtype_attr_assign)
block.body.insert(0, typ_var_assign)
block.body.insert(0, g_np_assign)
break
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def replace_func():
func_def = get_definition(self.func_ir, expr.func)
callname = find_callname(self.func_ir, expr)
repl_func = replace_functions_map.get(callname, None)
if (
repl_func is None
and len(callname) == 2
and isinstance(callname[1], ir.Var)
and isinstance(self.typemap[callname[1].name], types.npytypes.Array)
):
repl_func = replace_functions_ndarray.get(callname[0], None)
if repl_func is not None:
# Add the array that the method is on to the arg list.
expr.args.insert(0, callname[1])
require(repl_func != None)
typs = tuple(self.typemap[x.name] for x in expr.args)
try:
new_func = repl_func(lhs_typ, *typs)
except:
new_func = None
require(new_func != None)
g = copy.copy(self.func_ir.func_id.func.__globals__)
g["numba"] = numba
g["np"] = numpy
g["math"] = math
# if the function being inlined has a function
# checking the inputs, find it and add it to globals
check = replace_functions_checkers_map.get(callname, None)
if check is not None:
g[check.name] = check.func
# inline the parallel implementation
new_blocks, _ = inline_closure_call(
self.func_ir,
g,
block,
i,
new_func,
self.typingctx,
typs,
self.typemap,
self.calltypes,
work_list,
)
call_table = get_call_table(new_blocks, topological_ordering=False)
# find the prange in the new blocks and record it for use in diagnostics
for call in call_table:
for k, v in call.items():
if v[0] == "internal_prange":
swapped[k] = [callname, repl_func.__name__, func_def, block.body[i].loc]
break
return True
|
def replace_func():
func_def = get_definition(self.func_ir, expr.func)
callname = find_callname(self.func_ir, expr)
repl_func = replace_functions_map.get(callname, None)
require(repl_func != None)
typs = tuple(self.typemap[x.name] for x in expr.args)
try:
new_func = repl_func(lhs_typ, *typs)
except:
new_func = None
require(new_func != None)
g = copy.copy(self.func_ir.func_id.func.__globals__)
g["numba"] = numba
g["np"] = numpy
g["math"] = math
# if the function being inlined has a function
# checking the inputs, find it and add it to globals
check = replace_functions_checkers_map.get(callname, None)
if check is not None:
g[check.name] = check.func
# inline the parallel implementation
new_blocks, _ = inline_closure_call(
self.func_ir,
g,
block,
i,
new_func,
self.typingctx,
typs,
self.typemap,
self.calltypes,
work_list,
)
call_table = get_call_table(new_blocks, topological_ordering=False)
# find the prange in the new blocks and record it for use in diagnostics
for call in call_table:
for k, v in call.items():
if v[0] == "internal_prange":
swapped[k] = [callname, repl_func.__name__, func_def, block.body[i].loc]
break
return True
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def run(self):
"""run parfor conversion pass: replace Numpy calls
with Parfors when possible and optimize the IR."""
# run array analysis, a pre-requisite for parfor translation
remove_dels(self.func_ir.blocks)
self.array_analysis.run(self.func_ir.blocks)
# run stencil translation to parfor
if self.options.stencil:
stencil_pass = StencilPass(
self.func_ir,
self.typemap,
self.calltypes,
self.array_analysis,
self.typingctx,
self.flags,
)
stencil_pass.run()
if self.options.setitem:
self._convert_setitem(self.func_ir.blocks)
if self.options.numpy:
self._convert_numpy(self.func_ir.blocks)
if self.options.reduction:
self._convert_reduce(self.func_ir.blocks)
if self.options.prange:
self._convert_loop(self.func_ir.blocks)
# setup diagnostics now parfors are found
self.diagnostics.setup(self.func_ir, self.options.fusion)
dprint_func_ir(self.func_ir, "after parfor pass")
# simplify CFG of parfor body loops since nested parfors with extra
# jumps can be created with prange conversion
simplify_parfor_body_CFG(self.func_ir.blocks)
# simplify before fusion
simplify(self.func_ir, self.typemap, self.calltypes)
# need two rounds of copy propagation to enable fusion of long sequences
# of parfors like test_fuse_argmin (some PYTHONHASHSEED values since
# apply_copies_parfor depends on set order for creating dummy assigns)
simplify(self.func_ir, self.typemap, self.calltypes)
if self.options.fusion:
self.func_ir._definitions = build_definitions(self.func_ir.blocks)
self.array_analysis.equiv_sets = dict()
self.array_analysis.run(self.func_ir.blocks)
# reorder statements to maximize fusion
# push non-parfors down
maximize_fusion(
self.func_ir, self.func_ir.blocks, self.typemap, up_direction=False
)
dprint_func_ir(self.func_ir, "after maximize fusion down")
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
# push non-parfors up
maximize_fusion(self.func_ir, self.func_ir.blocks, self.typemap)
dprint_func_ir(self.func_ir, "after maximize fusion up")
# try fuse again after maximize
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
dprint_func_ir(self.func_ir, "after fusion")
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
# push function call variables inside parfors so gufunc function
# wouldn't need function variables as argument
push_call_vars(self.func_ir.blocks, {}, {})
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
dprint_func_ir(self.func_ir, "after optimization")
if config.DEBUG_ARRAY_OPT >= 1:
print("variable types: ", sorted(self.typemap.items()))
print("call types: ", self.calltypes)
if config.DEBUG_ARRAY_OPT >= 3:
for block_label, block in self.func_ir.blocks.items():
new_block = []
scope = block.scope
for stmt in block.body:
new_block.append(stmt)
if isinstance(stmt, ir.Assign):
loc = stmt.loc
lhs = stmt.target
rhs = stmt.value
lhs_typ = self.typemap[lhs.name]
print(
"Adding print for assignment to ",
lhs.name,
lhs_typ,
type(lhs_typ),
)
if lhs_typ in types.number_domain or isinstance(
lhs_typ, types.Literal
):
str_var = ir.Var(scope, mk_unique_var("str_var"), loc)
self.typemap[str_var.name] = types.StringLiteral(lhs.name)
lhs_const = ir.Const(lhs.name, loc)
str_assign = ir.Assign(lhs_const, str_var, loc)
new_block.append(str_assign)
str_print = ir.Print([str_var], None, loc)
self.calltypes[str_print] = signature(
types.none, self.typemap[str_var.name]
)
new_block.append(str_print)
ir_print = ir.Print([lhs], None, loc)
self.calltypes[ir_print] = signature(types.none, lhs_typ)
new_block.append(ir_print)
block.body = new_block
# run post processor again to generate Del nodes
post_proc = postproc.PostProcessor(self.func_ir)
post_proc.run()
if self.func_ir.is_generator:
fix_generator_types(self.func_ir.generator_info, self.return_type, self.typemap)
if sequential_parfor_lowering:
lower_parfor_sequential(
self.typingctx, self.func_ir, self.typemap, self.calltypes
)
else:
# prepare for parallel lowering
# add parfor params to parfors here since lowering is destructive
# changing the IR after this is not allowed
parfor_ids, parfors = get_parfor_params(
self.func_ir.blocks, self.options.fusion, self.nested_fusion_info
)
for p in parfors:
numba.parfor.get_parfor_reductions(
self.func_ir, p, p.params, self.calltypes
)
if config.DEBUG_ARRAY_OPT_STATS:
name = self.func_ir.func_id.func_qualname
n_parfors = len(parfor_ids)
if n_parfors > 0:
after_fusion = (
"After fusion" if self.options.fusion else "With fusion disabled"
)
print(
("{}, function {} has {} parallel for-loop(s) #{}.").format(
after_fusion, name, n_parfors, parfor_ids
)
)
else:
print("Function {} has no Parfor.".format(name))
return
|
def run(self):
"""run parfor conversion pass: replace Numpy calls
with Parfors when possible and optimize the IR."""
# run array analysis, a pre-requisite for parfor translation
remove_dels(self.func_ir.blocks)
self.array_analysis.run(self.func_ir.blocks)
# run stencil translation to parfor
if self.options.stencil:
stencil_pass = StencilPass(
self.func_ir,
self.typemap,
self.calltypes,
self.array_analysis,
self.typingctx,
self.flags,
)
stencil_pass.run()
if self.options.setitem:
self._convert_setitem(self.func_ir.blocks)
if self.options.numpy:
self._convert_numpy(self.func_ir.blocks)
if self.options.reduction:
self._convert_reduce(self.func_ir.blocks)
if self.options.prange:
self._convert_loop(self.func_ir.blocks)
# setup diagnostics now parfors are found
self.diagnostics.setup(self.func_ir, self.options.fusion)
dprint_func_ir(self.func_ir, "after parfor pass")
# simplify CFG of parfor body loops since nested parfors with extra
# jumps can be created with prange conversion
simplify_parfor_body_CFG(self.func_ir.blocks)
# simplify before fusion
simplify(self.func_ir, self.typemap, self.calltypes)
# need two rounds of copy propagation to enable fusion of long sequences
# of parfors like test_fuse_argmin (some PYTHONHASHSEED values since
# apply_copies_parfor depends on set order for creating dummy assigns)
simplify(self.func_ir, self.typemap, self.calltypes)
if self.options.fusion:
self.func_ir._definitions = build_definitions(self.func_ir.blocks)
self.array_analysis.equiv_sets = dict()
self.array_analysis.run(self.func_ir.blocks)
# reorder statements to maximize fusion
# push non-parfors down
maximize_fusion(
self.func_ir, self.func_ir.blocks, self.typemap, up_direction=False
)
dprint_func_ir(self.func_ir, "after maximize fusion down")
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
# push non-parfors up
maximize_fusion(self.func_ir, self.func_ir.blocks, self.typemap)
dprint_func_ir(self.func_ir, "after maximize fusion up")
# try fuse again after maximize
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
dprint_func_ir(self.func_ir, "after fusion")
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
# push function call variables inside parfors so gufunc function
# wouldn't need function variables as argument
push_call_vars(self.func_ir.blocks, {}, {})
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
dprint_func_ir(self.func_ir, "after optimization")
if config.DEBUG_ARRAY_OPT >= 1:
print("variable types: ", sorted(self.typemap.items()))
print("call types: ", self.calltypes)
# run post processor again to generate Del nodes
post_proc = postproc.PostProcessor(self.func_ir)
post_proc.run()
if self.func_ir.is_generator:
fix_generator_types(self.func_ir.generator_info, self.return_type, self.typemap)
if sequential_parfor_lowering:
lower_parfor_sequential(
self.typingctx, self.func_ir, self.typemap, self.calltypes
)
else:
# prepare for parallel lowering
# add parfor params to parfors here since lowering is destructive
# changing the IR after this is not allowed
parfor_ids, parfors = get_parfor_params(
self.func_ir.blocks, self.options.fusion, self.nested_fusion_info
)
for p in parfors:
numba.parfor.get_parfor_reductions(
self.func_ir, p, p.params, self.calltypes
)
if config.DEBUG_ARRAY_OPT_STATS:
name = self.func_ir.func_id.func_qualname
n_parfors = len(parfor_ids)
if n_parfors > 0:
after_fusion = (
"After fusion" if self.options.fusion else "With fusion disabled"
)
print(
("{}, function {} has {} parallel for-loop(s) #{}.").format(
after_fusion, name, n_parfors, parfor_ids
)
)
else:
print("Function {} has no Parfor.".format(name))
return
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _break_constant(self, const, loc):
"""
Break down constant exception.
"""
if isinstance(const, tuple): # it's a tuple(exception class, args)
if not self._is_exception_type(const[0]):
msg = "Encountered unsupported exception constant %r"
raise errors.UnsupportedError(msg % (const[0],), loc)
return const[0], tuple(const[1])
elif self._is_exception_type(const):
return const, None
else:
if isinstance(const, str):
msg = "Directly raising a string constant as an exception is not supported."
else:
msg = "Encountered unsupported constant type used for exception"
raise errors.UnsupportedError(msg, loc)
|
def _break_constant(self, const):
"""
Break down constant exception.
"""
if isinstance(const, tuple): # it's a tuple(exception class, args)
if not self._is_exception_type(const[0]):
raise NotImplementedError("unsupported exception constant %r" % (const[0],))
return const[0], tuple(const[1])
elif self._is_exception_type(const):
return const, None
else:
raise NotImplementedError("unsupported exception constant %r" % (const,))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def match(self, func_ir, block, typemap, calltypes):
self.raises = raises = {}
self.tryraises = tryraises = {}
self.block = block
# Detect all raise statements and find which ones can be
# rewritten
for inst in block.find_insts((ir.Raise, ir.TryRaise)):
if inst.exception is None:
# re-reraise
exc_type, exc_args = None, None
else:
# raise <something> => find the definition site for <something>
const = func_ir.infer_constant(inst.exception)
loc = inst.exception.loc
exc_type, exc_args = self._break_constant(const, loc)
if isinstance(inst, ir.Raise):
raises[inst] = exc_type, exc_args
elif isinstance(inst, ir.TryRaise):
tryraises[inst] = exc_type, exc_args
else:
raise ValueError("unexpected: {}".format(type(inst)))
return (len(raises) + len(tryraises)) > 0
|
def match(self, func_ir, block, typemap, calltypes):
self.raises = raises = {}
self.block = block
# Detect all raise statements and find which ones can be
# rewritten
for inst in block.find_insts(ir.Raise):
if inst.exception is None:
# re-reraise
exc_type, exc_args = None, None
else:
# raise <something> => find the definition site for <something>
const = func_ir.infer_constant(inst.exception)
exc_type, exc_args = self._break_constant(const)
raises[inst] = exc_type, exc_args
return len(raises) > 0
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def apply(self):
"""
Rewrite all matching setitems as static_setitems.
"""
new_block = self.block.copy()
new_block.clear()
for inst in self.block.body:
if inst in self.raises:
exc_type, exc_args = self.raises[inst]
new_inst = ir.StaticRaise(exc_type, exc_args, inst.loc)
new_block.append(new_inst)
elif inst in self.tryraises:
exc_type, exc_args = self.tryraises[inst]
new_inst = ir.StaticTryRaise(exc_type, exc_args, inst.loc)
new_block.append(new_inst)
else:
new_block.append(inst)
return new_block
|
def apply(self):
"""
Rewrite all matching setitems as static_setitems.
"""
new_block = self.block.copy()
new_block.clear()
for inst in self.block.body:
if inst in self.raises:
exc_type, exc_args = self.raises[inst]
new_inst = ir.StaticRaise(exc_type, exc_args, inst.loc)
new_block.append(new_inst)
else:
new_block.append(inst)
return new_block
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def hsail_atomic_add_tuple(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
if indty == types.intp:
indices = [inds] # just a single integer
indty = [indty]
else:
indices = cgutils.unpack_tuple(builder, inds, count=len(indty))
indices = [
context.cast(builder, i, t, types.intp) for t, i in zip(indty, indices)
]
if dtype != valty:
raise TypeError("expecting %s but got %s" % (dtype, valty))
if aryty.ndim != len(indty):
raise TypeError(
"indexing %d-D array with %d-D index" % (aryty.ndim, len(indty))
)
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(context, builder, aryty, lary, indices)
return builder.atomic_rmw("add", ptr, val, ordering="monotonic")
|
def hsail_atomic_add_tuple(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
if indty == types.intp:
indices = [inds] # just a single integer
indty = [indty]
else:
indices = cgutils.unpack_tuple(builder, inds, count=len(indty))
indices = [
context.cast(builder, i, t, types.intp) for t, i in zip(indty, indices)
]
if dtype != valty:
raise TypeError("expecting %s but got %s" % (dtype, valty))
if aryty.ndim != len(indty):
raise TypeError(
"indexing %d-D array with %d-D index" % (aryty.ndim, len(indty))
)
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(builder, aryty, lary, indices)
return builder.atomic_rmw("add", ptr, val, ordering="monotonic")
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _stencil_wrapper(self, result, sigret, return_type, typemap, calltypes, *args):
# Overall approach:
# 1) Construct a string containing a function definition for the stencil function
# that will execute the stencil kernel. This function definition includes a
# unique stencil function name, the parameters to the stencil kernel, loop
# nests across the dimensions of the input array. Those loop nests use the
# computed stencil kernel size so as not to try to compute elements where
# elements outside the bounds of the input array would be needed.
# 2) The but of the loop nest in this new function is a special sentinel
# assignment.
# 3) Get the IR of this new function.
# 4) Split the block containing the sentinel assignment and remove the sentinel
# assignment. Insert the stencil kernel IR into the stencil function IR
# after label and variable renaming of the stencil kernel IR to prevent
# conflicts with the stencil function IR.
# 5) Compile the combined stencil function IR + stencil kernel IR into existence.
# Copy the kernel so that our changes for this callsite
# won't effect other callsites.
(kernel_copy, copy_calltypes) = self.copy_ir_with_calltypes(
self.kernel_ir, calltypes
)
# The stencil kernel body becomes the body of a loop, for which args aren't needed.
ir_utils.remove_args(kernel_copy.blocks)
first_arg = kernel_copy.arg_names[0]
in_cps, out_cps = ir_utils.copy_propagate(kernel_copy.blocks, typemap)
name_var_table = ir_utils.get_name_var_table(kernel_copy.blocks)
ir_utils.apply_copy_propagate(
kernel_copy.blocks, in_cps, name_var_table, typemap, copy_calltypes
)
if "out" in name_var_table:
raise ValueError("Cannot use the reserved word 'out' in stencil kernels.")
sentinel_name = ir_utils.get_unused_var_name("__sentinel__", name_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("name_var_table", name_var_table, sentinel_name)
the_array = args[0]
if config.DEBUG_ARRAY_OPT >= 1:
print(
"_stencil_wrapper",
return_type,
return_type.dtype,
type(return_type.dtype),
args,
)
ir_utils.dump_blocks(kernel_copy.blocks)
# We generate a Numba function to execute this stencil and here
# create the unique name of this function.
stencil_func_name = "__numba_stencil_%s_%s" % (
hex(id(the_array)).replace("-", "_"),
self.id,
)
# We will put a loop nest in the generated function for each
# dimension in the input array. Here we create the name for
# the index variable for each dimension. index0, index1, ...
index_vars = []
for i in range(the_array.ndim):
index_var_name = ir_utils.get_unused_var_name("index" + str(i), name_var_table)
index_vars += [index_var_name]
# Create extra signature for out and neighborhood.
out_name = ir_utils.get_unused_var_name("out", name_var_table)
neighborhood_name = ir_utils.get_unused_var_name("neighborhood", name_var_table)
sig_extra = ""
if result is not None:
sig_extra += ", {}=None".format(out_name)
if "neighborhood" in dict(self.kws):
sig_extra += ", {}=None".format(neighborhood_name)
# Get a list of the standard indexed array names.
standard_indexed = self.options.get("standard_indexing", [])
if first_arg in standard_indexed:
raise ValueError(
"The first argument to a stencil kernel must "
"use relative indexing, not standard indexing."
)
if len(set(standard_indexed) - set(kernel_copy.arg_names)) != 0:
raise ValueError(
"Standard indexing requested for an array name "
"not present in the stencil kernel definition."
)
# Add index variables to getitems in the IR to transition the accesses
# in the kernel from relative to regular Python indexing. Returns the
# computed size of the stencil kernel and a list of the relatively indexed
# arrays.
kernel_size, relatively_indexed = self.add_indices_to_kernel(
kernel_copy,
index_vars,
the_array.ndim,
self.neighborhood,
standard_indexed,
typemap,
copy_calltypes,
)
if self.neighborhood is None:
self.neighborhood = kernel_size
if config.DEBUG_ARRAY_OPT >= 1:
print("After add_indices_to_kernel")
ir_utils.dump_blocks(kernel_copy.blocks)
# The return in the stencil kernel becomes a setitem for that
# particular point in the iteration space.
ret_blocks = self.replace_return_with_setitem(
kernel_copy.blocks, index_vars, out_name
)
if config.DEBUG_ARRAY_OPT >= 1:
print("After replace_return_with_setitem", ret_blocks)
ir_utils.dump_blocks(kernel_copy.blocks)
# Start to form the new function to execute the stencil kernel.
func_text = "def {}({}{}):\n".format(
stencil_func_name, ",".join(kernel_copy.arg_names), sig_extra
)
# Get loop ranges for each dimension, which could be either int
# or variable. In the latter case we'll use the extra neighborhood
# argument to the function.
ranges = []
for i in range(the_array.ndim):
if isinstance(kernel_size[i][0], int):
lo = kernel_size[i][0]
hi = kernel_size[i][1]
else:
lo = "{}[{}][0]".format(neighborhood_name, i)
hi = "{}[{}][1]".format(neighborhood_name, i)
ranges.append((lo, hi))
# If there are more than one relatively indexed arrays, add a call to
# a function that will raise an error if any of the relatively indexed
# arrays are of different size than the first input array.
if len(relatively_indexed) > 1:
func_text += " raise_if_incompatible_array_sizes(" + first_arg
for other_array in relatively_indexed:
if other_array != first_arg:
func_text += "," + other_array
func_text += ")\n"
# Get the shape of the first input array.
shape_name = ir_utils.get_unused_var_name("full_shape", name_var_table)
func_text += " {} = {}.shape\n".format(shape_name, first_arg)
# If we have to allocate the output array (the out argument was not used)
# then us numpy.full if the user specified a cval stencil decorator option
# or np.zeros if they didn't to allocate the array.
if result is None:
return_type_name = numpy_support.as_dtype(return_type.dtype).type.__name__
if "cval" in self.options:
cval = self.options["cval"]
if return_type.dtype != typing.typeof.typeof(cval):
raise ValueError("cval type does not match stencil return type.")
out_init = "{} = np.full({}, {}, dtype=np.{})\n".format(
out_name, shape_name, cval, return_type_name
)
else:
out_init = "{} = np.zeros({}, dtype=np.{})\n".format(
out_name, shape_name, return_type_name
)
func_text += " " + out_init
else: # result is present, if cval is set then use it
if "cval" in self.options:
cval = self.options["cval"]
cval_ty = typing.typeof.typeof(cval)
if not self._typingctx.can_convert(cval_ty, return_type.dtype):
msg = "cval type does not match stencil return type."
raise ValueError(msg)
out_init = "{}[:] = {}\n".format(out_name, cval)
func_text += " " + out_init
offset = 1
# Add the loop nests to the new function.
for i in range(the_array.ndim):
for j in range(offset):
func_text += " "
# ranges[i][0] is the minimum index used in the i'th dimension
# but minimum's greater than 0 don't preclude any entry in the array.
# So, take the minimum of 0 and the minimum index found in the kernel
# and this will be a negative number (potentially -0). Then, we do
# unary - on that to get the positive offset in this dimension whose
# use is precluded.
# ranges[i][1] is the maximum of 0 and the observed maximum index
# in this dimension because negative maximums would not cause us to
# preclude any entry in the array from being used.
func_text += ("for {} in range(-min(0,{}),{}[{}]-max(0,{})):\n").format(
index_vars[i], ranges[i][0], shape_name, i, ranges[i][1]
)
offset += 1
for j in range(offset):
func_text += " "
# Put a sentinel in the code so we can locate it in the IR. We will
# remove this sentinel assignment and replace it with the IR for the
# stencil kernel body.
func_text += "{} = 0\n".format(sentinel_name)
func_text += " return {}\n".format(out_name)
if config.DEBUG_ARRAY_OPT >= 1:
print("new stencil func text")
print(func_text)
# Force the new stencil function into existence.
exec_(func_text) in globals(), locals()
stencil_func = eval(stencil_func_name)
if sigret is not None:
pysig = utils.pysignature(stencil_func)
sigret.pysig = pysig
# Get the IR for the newly created stencil function.
stencil_ir = compiler.run_frontend(stencil_func)
ir_utils.remove_dels(stencil_ir.blocks)
# rename all variables in stencil_ir afresh
var_table = ir_utils.get_name_var_table(stencil_ir.blocks)
new_var_dict = {}
reserved_names = (
[sentinel_name, out_name, neighborhood_name, shape_name]
+ kernel_copy.arg_names
+ index_vars
)
for name, var in var_table.items():
if not name in reserved_names:
new_var_dict[name] = ir_utils.mk_unique_var(name)
ir_utils.replace_var_names(stencil_ir.blocks, new_var_dict)
stencil_stub_last_label = max(stencil_ir.blocks.keys()) + 1
# Shift lables in the kernel copy so they are guaranteed unique
# and don't conflict with any labels in the stencil_ir.
kernel_copy.blocks = ir_utils.add_offset_to_labels(
kernel_copy.blocks, stencil_stub_last_label
)
new_label = max(kernel_copy.blocks.keys()) + 1
# Adjust ret_blocks to account for addition of the offset.
ret_blocks = [x + stencil_stub_last_label for x in ret_blocks]
if config.DEBUG_ARRAY_OPT >= 1:
print("ret_blocks w/ offsets", ret_blocks, stencil_stub_last_label)
print("before replace sentinel stencil_ir")
ir_utils.dump_blocks(stencil_ir.blocks)
print("before replace sentinel kernel_copy")
ir_utils.dump_blocks(kernel_copy.blocks)
# Search all the block in the stencil outline for the sentinel.
for label, block in stencil_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the
# sentinel but the new block maintains the current block
# label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(kernel_copy.blocks.keys())
# The previous block jumps to the minimum labelled block of
# the parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc
# function's IR.
for l, b in kernel_copy.blocks.items():
stencil_ir.blocks[l] = b
stencil_ir.blocks[new_label] = block
stencil_ir.blocks[label] = prev_block
# Add a jump from all the blocks that previously contained
# a return in the stencil kernel to the block
# containing statements after the sentinel.
for ret_block in ret_blocks:
stencil_ir.blocks[ret_block].append(ir.Jump(new_label, loc))
break
else:
continue
break
stencil_ir.blocks = ir_utils.rename_labels(stencil_ir.blocks)
ir_utils.remove_dels(stencil_ir.blocks)
assert isinstance(the_array, types.Type)
array_types = args
new_stencil_param_types = list(array_types)
if config.DEBUG_ARRAY_OPT >= 1:
print("new_stencil_param_types", new_stencil_param_types)
ir_utils.dump_blocks(stencil_ir.blocks)
# Compile the combined stencil function with the replaced loop
# body in it.
new_func = compiler.compile_ir(
self._typingctx,
self._targetctx,
stencil_ir,
new_stencil_param_types,
None,
compiler.DEFAULT_FLAGS,
{},
)
return new_func
|
def _stencil_wrapper(self, result, sigret, return_type, typemap, calltypes, *args):
# Overall approach:
# 1) Construct a string containing a function definition for the stencil function
# that will execute the stencil kernel. This function definition includes a
# unique stencil function name, the parameters to the stencil kernel, loop
# nests across the dimenions of the input array. Those loop nests use the
# computed stencil kernel size so as not to try to compute elements where
# elements outside the bounds of the input array would be needed.
# 2) The but of the loop nest in this new function is a special sentinel
# assignment.
# 3) Get the IR of this new function.
# 4) Split the block containing the sentinel assignment and remove the sentinel
# assignment. Insert the stencil kernel IR into the stencil function IR
# after label and variable renaming of the stencil kernel IR to prevent
# conflicts with the stencil function IR.
# 5) Compile the combined stencil function IR + stencil kernel IR into existence.
# Copy the kernel so that our changes for this callsite
# won't effect other callsites.
(kernel_copy, copy_calltypes) = self.copy_ir_with_calltypes(
self.kernel_ir, calltypes
)
# The stencil kernel body becomes the body of a loop, for which args aren't needed.
ir_utils.remove_args(kernel_copy.blocks)
first_arg = kernel_copy.arg_names[0]
in_cps, out_cps = ir_utils.copy_propagate(kernel_copy.blocks, typemap)
name_var_table = ir_utils.get_name_var_table(kernel_copy.blocks)
ir_utils.apply_copy_propagate(
kernel_copy.blocks, in_cps, name_var_table, typemap, copy_calltypes
)
if "out" in name_var_table:
raise ValueError("Cannot use the reserved word 'out' in stencil kernels.")
sentinel_name = ir_utils.get_unused_var_name("__sentinel__", name_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("name_var_table", name_var_table, sentinel_name)
the_array = args[0]
if config.DEBUG_ARRAY_OPT >= 1:
print(
"_stencil_wrapper",
return_type,
return_type.dtype,
type(return_type.dtype),
args,
)
ir_utils.dump_blocks(kernel_copy.blocks)
# We generate a Numba function to execute this stencil and here
# create the unique name of this function.
stencil_func_name = "__numba_stencil_%s_%s" % (
hex(id(the_array)).replace("-", "_"),
self.id,
)
# We will put a loop nest in the generated function for each
# dimension in the input array. Here we create the name for
# the index variable for each dimension. index0, index1, ...
index_vars = []
for i in range(the_array.ndim):
index_var_name = ir_utils.get_unused_var_name("index" + str(i), name_var_table)
index_vars += [index_var_name]
# Create extra signature for out and neighborhood.
out_name = ir_utils.get_unused_var_name("out", name_var_table)
neighborhood_name = ir_utils.get_unused_var_name("neighborhood", name_var_table)
sig_extra = ""
if result is not None:
sig_extra += ", {}=None".format(out_name)
if "neighborhood" in dict(self.kws):
sig_extra += ", {}=None".format(neighborhood_name)
# Get a list of the standard indexed array names.
standard_indexed = self.options.get("standard_indexing", [])
if first_arg in standard_indexed:
raise ValueError(
"The first argument to a stencil kernel must "
"use relative indexing, not standard indexing."
)
if len(set(standard_indexed) - set(kernel_copy.arg_names)) != 0:
raise ValueError(
"Standard indexing requested for an array name "
"not present in the stencil kernel definition."
)
# Add index variables to getitems in the IR to transition the accesses
# in the kernel from relative to regular Python indexing. Returns the
# computed size of the stencil kernel and a list of the relatively indexed
# arrays.
kernel_size, relatively_indexed = self.add_indices_to_kernel(
kernel_copy,
index_vars,
the_array.ndim,
self.neighborhood,
standard_indexed,
typemap,
copy_calltypes,
)
if self.neighborhood is None:
self.neighborhood = kernel_size
if config.DEBUG_ARRAY_OPT >= 1:
print("After add_indices_to_kernel")
ir_utils.dump_blocks(kernel_copy.blocks)
# The return in the stencil kernel becomes a setitem for that
# particular point in the iteration space.
ret_blocks = self.replace_return_with_setitem(
kernel_copy.blocks, index_vars, out_name
)
if config.DEBUG_ARRAY_OPT >= 1:
print("After replace_return_with_setitem", ret_blocks)
ir_utils.dump_blocks(kernel_copy.blocks)
# Start to form the new function to execute the stencil kernel.
func_text = "def {}({}{}):\n".format(
stencil_func_name, ",".join(kernel_copy.arg_names), sig_extra
)
# Get loop ranges for each dimension, which could be either int
# or variable. In the latter case we'll use the extra neighborhood
# argument to the function.
ranges = []
for i in range(the_array.ndim):
if isinstance(kernel_size[i][0], int):
lo = kernel_size[i][0]
hi = kernel_size[i][1]
else:
lo = "{}[{}][0]".format(neighborhood_name, i)
hi = "{}[{}][1]".format(neighborhood_name, i)
ranges.append((lo, hi))
# If there are more than one relatively indexed arrays, add a call to
# a function that will raise an error if any of the relatively indexed
# arrays are of different size than the first input array.
if len(relatively_indexed) > 1:
func_text += " raise_if_incompatible_array_sizes(" + first_arg
for other_array in relatively_indexed:
if other_array != first_arg:
func_text += "," + other_array
func_text += ")\n"
# Get the shape of the first input array.
shape_name = ir_utils.get_unused_var_name("full_shape", name_var_table)
func_text += " {} = {}.shape\n".format(shape_name, first_arg)
# If we have to allocate the output array (the out argument was not used)
# then us numpy.full if the user specified a cval stencil decorator option
# or np.zeros if they didn't to allocate the array.
if result is None:
return_type_name = numpy_support.as_dtype(return_type.dtype).type.__name__
if "cval" in self.options:
cval = self.options["cval"]
if return_type.dtype != typing.typeof.typeof(cval):
raise ValueError("cval type does not match stencil return type.")
out_init = "{} = np.full({}, {}, dtype=np.{})\n".format(
out_name, shape_name, cval, return_type_name
)
else:
out_init = "{} = np.zeros({}, dtype=np.{})\n".format(
out_name, shape_name, return_type_name
)
func_text += " " + out_init
else: # result is present, if cval is set then use it
if "cval" in self.options:
cval = self.options["cval"]
cval_ty = typing.typeof.typeof(cval)
if not self._typingctx.can_convert(cval_ty, return_type.dtype):
msg = "cval type does not match stencil return type."
raise ValueError(msg)
out_init = "{}[:] = {}\n".format(out_name, cval)
func_text += " " + out_init
offset = 1
# Add the loop nests to the new function.
for i in range(the_array.ndim):
for j in range(offset):
func_text += " "
# ranges[i][0] is the minimum index used in the i'th dimension
# but minimum's greater than 0 don't preclude any entry in the array.
# So, take the minimum of 0 and the minimum index found in the kernel
# and this will be a negative number (potentially -0). Then, we do
# unary - on that to get the positive offset in this dimension whose
# use is precluded.
# ranges[i][1] is the maximum of 0 and the observed maximum index
# in this dimension because negative maximums would not cause us to
# preclude any entry in the array from being used.
func_text += ("for {} in range(-min(0,{}),{}[{}]-max(0,{})):\n").format(
index_vars[i], ranges[i][0], shape_name, i, ranges[i][1]
)
offset += 1
for j in range(offset):
func_text += " "
# Put a sentinel in the code so we can locate it in the IR. We will
# remove this sentinel assignment and replace it with the IR for the
# stencil kernel body.
func_text += "{} = 0\n".format(sentinel_name)
func_text += " return {}\n".format(out_name)
if config.DEBUG_ARRAY_OPT >= 1:
print("new stencil func text")
print(func_text)
# Force the new stencil function into existence.
exec_(func_text) in globals(), locals()
stencil_func = eval(stencil_func_name)
if sigret is not None:
pysig = utils.pysignature(stencil_func)
sigret.pysig = pysig
# Get the IR for the newly created stencil function.
stencil_ir = compiler.run_frontend(stencil_func)
ir_utils.remove_dels(stencil_ir.blocks)
# rename all variables in stencil_ir afresh
var_table = ir_utils.get_name_var_table(stencil_ir.blocks)
new_var_dict = {}
reserved_names = (
[sentinel_name, out_name, neighborhood_name, shape_name]
+ kernel_copy.arg_names
+ index_vars
)
for name, var in var_table.items():
if not name in reserved_names:
new_var_dict[name] = ir_utils.mk_unique_var(name)
ir_utils.replace_var_names(stencil_ir.blocks, new_var_dict)
stencil_stub_last_label = max(stencil_ir.blocks.keys()) + 1
# Shift lables in the kernel copy so they are guaranteed unique
# and don't conflict with any labels in the stencil_ir.
kernel_copy.blocks = ir_utils.add_offset_to_labels(
kernel_copy.blocks, stencil_stub_last_label
)
new_label = max(kernel_copy.blocks.keys()) + 1
# Adjust ret_blocks to account for addition of the offset.
ret_blocks = [x + stencil_stub_last_label for x in ret_blocks]
if config.DEBUG_ARRAY_OPT >= 1:
print("ret_blocks w/ offsets", ret_blocks, stencil_stub_last_label)
print("before replace sentinel stencil_ir")
ir_utils.dump_blocks(stencil_ir.blocks)
print("before replace sentinel kernel_copy")
ir_utils.dump_blocks(kernel_copy.blocks)
# Search all the block in the stencil outline for the sentinel.
for label, block in stencil_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the
# sentinel but the new block maintains the current block
# label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(kernel_copy.blocks.keys())
# The previous block jumps to the minimum labelled block of
# the parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc
# function's IR.
for l, b in kernel_copy.blocks.items():
stencil_ir.blocks[l] = b
stencil_ir.blocks[new_label] = block
stencil_ir.blocks[label] = prev_block
# Add a jump from all the blocks that previously contained
# a return in the stencil kernel to the block
# containing statements after the sentinel.
for ret_block in ret_blocks:
stencil_ir.blocks[ret_block].append(ir.Jump(new_label, loc))
break
else:
continue
break
stencil_ir.blocks = ir_utils.rename_labels(stencil_ir.blocks)
ir_utils.remove_dels(stencil_ir.blocks)
assert isinstance(the_array, types.Type)
array_types = args
new_stencil_param_types = list(array_types)
if config.DEBUG_ARRAY_OPT >= 1:
print("new_stencil_param_types", new_stencil_param_types)
ir_utils.dump_blocks(stencil_ir.blocks)
# Compile the combined stencil function with the replaced loop
# body in it.
new_func = compiler.compile_ir(
self._typingctx,
self._targetctx,
stencil_ir,
new_stencil_param_types,
None,
compiler.DEFAULT_FLAGS,
{},
)
return new_func
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def np_interp_impl_inner(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp prior to 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.15.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/3430d78c01a3b9a19adad75f1acb5ae18286da73/numpy/core/src/multiarray/compiled_base.c#L532 # noqa: E501
dz = np.asarray(x, dtype=np.float64)
dx = np.asarray(xp, dtype=np.float64)
dy = np.asarray(fp, dtype=np.float64)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in master but not in any released
# version of 1.16.x yet...
#
# If we get nan in one direction, try the other
# if np.isnan(dres.flat[i]):
# dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1]
#
# if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
# dres.flat[i] = dy[j]
return dres
|
def np_interp_impl_inner(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp prior to 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.15.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/3430d78c01a3b9a19adad75f1acb5ae18286da73/numpy/core/src/multiarray/compiled_base.c#L532 # noqa: E501
dz = np.asarray(x)
dx = np.asarray(xp)
dy = np.asarray(fp)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in master but not in any released
# version of 1.16.x yet...
#
# If we get nan in one direction, try the other
# if np.isnan(dres.flat[i]):
# dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1]
#
# if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
# dres.flat[i] = dy[j]
return dres
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def np_interp_impl_inner_factory(np117_nan_handling):
def impl(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp post 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.16.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/971e2e89d08deeae0139d3011d15646fdac13c92/numpy/core/src/multiarray/compiled_base.c#L473 # noqa: E501
dz = np.asarray(x, dtype=np.float64)
dx = np.asarray(xp, dtype=np.float64)
dy = np.asarray(fp, dtype=np.float64)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
elif dx[j] == x_val:
# Avoid potential non-finite interpolation
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in np1.17
# https://github.com/numpy/numpy/blob/maintenance/1.17.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/91fbe4dde246559fa5b085ebf4bc268e2b89eea8/numpy/core/src/multiarray/compiled_base.c#L610-L616 # noqa: E501
#
# If we get nan in one direction, try the other
if np117_nan_handling:
if np.isnan(dres.flat[i]):
dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1] # noqa: E501
if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
dres.flat[i] = dy[j]
return dres
return impl
|
def np_interp_impl_inner_factory(np117_nan_handling):
def impl(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp post 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.16.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/971e2e89d08deeae0139d3011d15646fdac13c92/numpy/core/src/multiarray/compiled_base.c#L473 # noqa: E501
dz = np.asarray(x)
dx = np.asarray(xp)
dy = np.asarray(fp)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
elif dx[j] == x_val:
# Avoid potential non-finite interpolation
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in np1.17
# https://github.com/numpy/numpy/blob/maintenance/1.17.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/91fbe4dde246559fa5b085ebf4bc268e2b89eea8/numpy/core/src/multiarray/compiled_base.c#L610-L616 # noqa: E501
#
# If we get nan in one direction, try the other
if np117_nan_handling:
if np.isnan(dres.flat[i]):
dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1] # noqa: E501
if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
dres.flat[i] = dy[j]
return dres
return impl
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def impl(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp post 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.16.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/971e2e89d08deeae0139d3011d15646fdac13c92/numpy/core/src/multiarray/compiled_base.c#L473 # noqa: E501
dz = np.asarray(x, dtype=np.float64)
dx = np.asarray(xp, dtype=np.float64)
dy = np.asarray(fp, dtype=np.float64)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
elif dx[j] == x_val:
# Avoid potential non-finite interpolation
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in np1.17
# https://github.com/numpy/numpy/blob/maintenance/1.17.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/91fbe4dde246559fa5b085ebf4bc268e2b89eea8/numpy/core/src/multiarray/compiled_base.c#L610-L616 # noqa: E501
#
# If we get nan in one direction, try the other
if np117_nan_handling:
if np.isnan(dres.flat[i]):
dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1] # noqa: E501
if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
dres.flat[i] = dy[j]
return dres
|
def impl(x, xp, fp, dtype):
# NOTE: Do not refactor... see note in np_interp function impl below
# this is a facsimile of arr_interp post 1.16:
# https://github.com/numpy/numpy/blob/maintenance/1.16.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/971e2e89d08deeae0139d3011d15646fdac13c92/numpy/core/src/multiarray/compiled_base.c#L473 # noqa: E501
dz = np.asarray(x)
dx = np.asarray(xp)
dy = np.asarray(fp)
if len(dx) == 0:
raise ValueError("array of sample points is empty")
if len(dx) != len(dy):
raise ValueError("fp and xp are not of the same size.")
if dx.size == 1:
return np.full(dz.shape, fill_value=dy[0], dtype=dtype)
dres = np.empty(dz.shape, dtype=dtype)
lenx = dz.size
lenxp = len(dx)
lval = dy[0]
rval = dy[lenxp - 1]
if lenxp == 1:
xp_val = dx[0]
fp_val = dy[0]
for i in range(lenx):
x_val = dz.flat[i]
if x_val < xp_val:
dres.flat[i] = lval
elif x_val > xp_val:
dres.flat[i] = rval
else:
dres.flat[i] = fp_val
else:
j = 0
# only pre-calculate slopes if there are relatively few of them.
if lenxp <= lenx:
slopes = (dy[1:] - dy[:-1]) / (dx[1:] - dx[:-1])
else:
slopes = np.empty(0, dtype=dtype)
for i in range(lenx):
x_val = dz.flat[i]
if np.isnan(x_val):
dres.flat[i] = x_val
continue
j = binary_search_with_guess(x_val, dx, lenxp, j)
if j == -1:
dres.flat[i] = lval
elif j == lenxp:
dres.flat[i] = rval
elif j == lenxp - 1:
dres.flat[i] = dy[j]
elif dx[j] == x_val:
# Avoid potential non-finite interpolation
dres.flat[i] = dy[j]
else:
if slopes.size:
slope = slopes[j]
else:
slope = (dy[j + 1] - dy[j]) / (dx[j + 1] - dx[j])
dres.flat[i] = slope * (x_val - dx[j]) + dy[j]
# NOTE: this is in np1.17
# https://github.com/numpy/numpy/blob/maintenance/1.17.x/numpy/core/src/multiarray/compiled_base.c # noqa: E501
# Permanent reference:
# https://github.com/numpy/numpy/blob/91fbe4dde246559fa5b085ebf4bc268e2b89eea8/numpy/core/src/multiarray/compiled_base.c#L610-L616 # noqa: E501
#
# If we get nan in one direction, try the other
if np117_nan_handling:
if np.isnan(dres.flat[i]):
dres.flat[i] = slope * (x_val - dx[j + 1]) + dy[j + 1] # noqa: E501
if np.isnan(dres.flat[i]) and dy[j] == dy[j + 1]:
dres.flat[i] = dy[j]
return dres
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def array_nonzero(context, builder, sig, args):
aryty = sig.args[0]
# Return type is a N-tuple of 1D C-contiguous arrays
retty = sig.return_type
outaryty = retty.dtype
nouts = retty.count
ary = make_array(aryty)(context, builder, args[0])
shape = cgutils.unpack_tuple(builder, ary.shape)
strides = cgutils.unpack_tuple(builder, ary.strides)
data = ary.data
layout = aryty.layout
# First count the number of non-zero elements
zero = context.get_constant(types.intp, 0)
one = context.get_constant(types.intp, 1)
count = cgutils.alloca_once_value(builder, zero)
with cgutils.loop_nest(builder, shape, zero.type) as indices:
ptr = cgutils.get_item_pointer2(
context, builder, data, shape, strides, layout, indices
)
val = load_item(context, builder, aryty, ptr)
nz = context.is_true(builder, aryty.dtype, val)
with builder.if_then(nz):
builder.store(builder.add(builder.load(count), one), count)
# Then allocate output arrays of the right size
out_shape = (builder.load(count),)
outs = [
_empty_nd_impl(context, builder, outaryty, out_shape)._getvalue()
for i in range(nouts)
]
outarys = [make_array(outaryty)(context, builder, out) for out in outs]
out_datas = [out.data for out in outarys]
# And fill them up
index = cgutils.alloca_once_value(builder, zero)
with cgutils.loop_nest(builder, shape, zero.type) as indices:
ptr = cgutils.get_item_pointer2(
context, builder, data, shape, strides, layout, indices
)
val = load_item(context, builder, aryty, ptr)
nz = context.is_true(builder, aryty.dtype, val)
with builder.if_then(nz):
# Store element indices in output arrays
if not indices:
# For a 0-d array, store 0 in the unique output array
indices = (zero,)
cur = builder.load(index)
for i in range(nouts):
ptr = cgutils.get_item_pointer2(
context, builder, out_datas[i], out_shape, (), "C", [cur]
)
store_item(context, builder, outaryty, indices[i], ptr)
builder.store(builder.add(cur, one), index)
tup = context.make_tuple(builder, sig.return_type, outs)
return impl_ret_new_ref(context, builder, sig.return_type, tup)
|
def array_nonzero(context, builder, sig, args):
aryty = sig.args[0]
# Return type is a N-tuple of 1D C-contiguous arrays
retty = sig.return_type
outaryty = retty.dtype
nouts = retty.count
ary = make_array(aryty)(context, builder, args[0])
shape = cgutils.unpack_tuple(builder, ary.shape)
strides = cgutils.unpack_tuple(builder, ary.strides)
data = ary.data
layout = aryty.layout
# First count the number of non-zero elements
zero = context.get_constant(types.intp, 0)
one = context.get_constant(types.intp, 1)
count = cgutils.alloca_once_value(builder, zero)
with cgutils.loop_nest(builder, shape, zero.type) as indices:
ptr = cgutils.get_item_pointer2(builder, data, shape, strides, layout, indices)
val = load_item(context, builder, aryty, ptr)
nz = context.is_true(builder, aryty.dtype, val)
with builder.if_then(nz):
builder.store(builder.add(builder.load(count), one), count)
# Then allocate output arrays of the right size
out_shape = (builder.load(count),)
outs = [
_empty_nd_impl(context, builder, outaryty, out_shape)._getvalue()
for i in range(nouts)
]
outarys = [make_array(outaryty)(context, builder, out) for out in outs]
out_datas = [out.data for out in outarys]
# And fill them up
index = cgutils.alloca_once_value(builder, zero)
with cgutils.loop_nest(builder, shape, zero.type) as indices:
ptr = cgutils.get_item_pointer2(builder, data, shape, strides, layout, indices)
val = load_item(context, builder, aryty, ptr)
nz = context.is_true(builder, aryty.dtype, val)
with builder.if_then(nz):
# Store element indices in output arrays
if not indices:
# For a 0-d array, store 0 in the unique output array
indices = (zero,)
cur = builder.load(index)
for i in range(nouts):
ptr = cgutils.get_item_pointer2(
builder, out_datas[i], out_shape, (), "C", [cur]
)
store_item(context, builder, outaryty, indices[i], ptr)
builder.store(builder.add(cur, one), index)
tup = context.make_tuple(builder, sig.return_type, outs)
return impl_ret_new_ref(context, builder, sig.return_type, tup)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _getitem_array1d(context, builder, arrayty, array, idx, wraparound):
"""
Look up and return an element from a 1D array.
"""
ptr = cgutils.get_item_pointer(
context, builder, arrayty, array, [idx], wraparound=wraparound
)
return load_item(context, builder, arrayty, ptr)
|
def _getitem_array1d(context, builder, arrayty, array, idx, wraparound):
"""
Look up and return an element from a 1D array.
"""
ptr = cgutils.get_item_pointer(
builder, arrayty, array, [idx], wraparound=wraparound
)
return load_item(context, builder, arrayty, ptr)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def basic_indexing(
context, builder, aryty, ary, index_types, indices, boundscheck=None
):
"""
Perform basic indexing on the given array.
A (data pointer, shapes, strides) tuple is returned describing
the corresponding view.
"""
zero = context.get_constant(types.intp, 0)
shapes = cgutils.unpack_tuple(builder, ary.shape, aryty.ndim)
strides = cgutils.unpack_tuple(builder, ary.strides, aryty.ndim)
output_indices = []
output_shapes = []
output_strides = []
ax = 0
for indexval, idxty in zip(indices, index_types):
if idxty is types.ellipsis:
# Fill up missing dimensions at the middle
n_missing = aryty.ndim - len(indices) + 1
for i in range(n_missing):
output_indices.append(zero)
output_shapes.append(shapes[ax])
output_strides.append(strides[ax])
ax += 1
continue
# Regular index value
if isinstance(idxty, types.SliceType):
slice = context.make_helper(builder, idxty, value=indexval)
slicing.guard_invalid_slice(context, builder, idxty, slice)
slicing.fix_slice(builder, slice, shapes[ax])
output_indices.append(slice.start)
sh = slicing.get_slice_length(builder, slice)
st = slicing.fix_stride(builder, slice, strides[ax])
output_shapes.append(sh)
output_strides.append(st)
elif isinstance(idxty, types.Integer):
ind = fix_integer_index(context, builder, idxty, indexval, shapes[ax])
if boundscheck:
cgutils.do_boundscheck(context, builder, ind, shapes[ax], ax)
output_indices.append(ind)
else:
raise NotImplementedError("unexpected index type: %s" % (idxty,))
ax += 1
# Fill up missing dimensions at the end
assert ax <= aryty.ndim
while ax < aryty.ndim:
output_shapes.append(shapes[ax])
output_strides.append(strides[ax])
ax += 1
# No need to check wraparound, as negative indices were already
# fixed in the loop above.
dataptr = cgutils.get_item_pointer(
context,
builder,
aryty,
ary,
output_indices,
wraparound=False,
boundscheck=False,
)
return (dataptr, output_shapes, output_strides)
|
def basic_indexing(context, builder, aryty, ary, index_types, indices):
"""
Perform basic indexing on the given array.
A (data pointer, shapes, strides) tuple is returned describing
the corresponding view.
"""
zero = context.get_constant(types.intp, 0)
shapes = cgutils.unpack_tuple(builder, ary.shape, aryty.ndim)
strides = cgutils.unpack_tuple(builder, ary.strides, aryty.ndim)
output_indices = []
output_shapes = []
output_strides = []
ax = 0
for indexval, idxty in zip(indices, index_types):
if idxty is types.ellipsis:
# Fill up missing dimensions at the middle
n_missing = aryty.ndim - len(indices) + 1
for i in range(n_missing):
output_indices.append(zero)
output_shapes.append(shapes[ax])
output_strides.append(strides[ax])
ax += 1
continue
# Regular index value
if isinstance(idxty, types.SliceType):
slice = context.make_helper(builder, idxty, value=indexval)
slicing.guard_invalid_slice(context, builder, idxty, slice)
slicing.fix_slice(builder, slice, shapes[ax])
output_indices.append(slice.start)
sh = slicing.get_slice_length(builder, slice)
st = slicing.fix_stride(builder, slice, strides[ax])
output_shapes.append(sh)
output_strides.append(st)
elif isinstance(idxty, types.Integer):
ind = fix_integer_index(context, builder, idxty, indexval, shapes[ax])
output_indices.append(ind)
else:
raise NotImplementedError("unexpected index type: %s" % (idxty,))
ax += 1
# Fill up missing dimensions at the end
assert ax <= aryty.ndim
while ax < aryty.ndim:
output_shapes.append(shapes[ax])
output_strides.append(strides[ax])
ax += 1
# No need to check wraparound, as negative indices were already
# fixed in the loop above.
dataptr = cgutils.get_item_pointer(
builder, aryty, ary, output_indices, wraparound=False
)
return (dataptr, output_shapes, output_strides)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _getitem_array_generic(
context, builder, return_type, aryty, ary, index_types, indices
):
"""
Return the result of indexing *ary* with the given *indices*,
returning either a scalar or a view.
"""
dataptr, view_shapes, view_strides = basic_indexing(
context,
builder,
aryty,
ary,
index_types,
indices,
boundscheck=context.enable_boundscheck,
)
if isinstance(return_type, types.Buffer):
# Build array view
retary = make_view(
context,
builder,
aryty,
ary,
return_type,
dataptr,
view_shapes,
view_strides,
)
return retary._getvalue()
else:
# Load scalar from 0-d result
assert not view_shapes
return load_item(context, builder, aryty, dataptr)
|
def _getitem_array_generic(
context, builder, return_type, aryty, ary, index_types, indices
):
"""
Return the result of indexing *ary* with the given *indices*,
returning either a scalar or a view.
"""
dataptr, view_shapes, view_strides = basic_indexing(
context, builder, aryty, ary, index_types, indices
)
if isinstance(return_type, types.Buffer):
# Build array view
retary = make_view(
context,
builder,
aryty,
ary,
return_type,
dataptr,
view_shapes,
view_strides,
)
return retary._getvalue()
else:
# Load scalar from 0-d result
assert not view_shapes
return load_item(context, builder, aryty, dataptr)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def setitem_array(context, builder, sig, args):
"""
array[a] = scalar_or_array
array[a,..,b] = scalar_or_array
"""
aryty, idxty, valty = sig.args
ary, idx, val = args
if isinstance(idxty, types.BaseTuple):
index_types = idxty.types
indices = cgutils.unpack_tuple(builder, idx, count=len(idxty))
else:
index_types = (idxty,)
indices = (idx,)
ary = make_array(aryty)(context, builder, ary)
# First try basic indexing to see if a single array location is denoted.
index_types, indices = normalize_indices(context, builder, index_types, indices)
try:
dataptr, shapes, strides = basic_indexing(
context,
builder,
aryty,
ary,
index_types,
indices,
boundscheck=context.enable_boundscheck,
)
except NotImplementedError:
use_fancy_indexing = True
else:
use_fancy_indexing = bool(shapes)
if use_fancy_indexing:
# Index describes a non-trivial view => use generic slice assignment
# (NOTE: this also handles scalar broadcasting)
return fancy_setslice(context, builder, sig, args, index_types, indices)
# Store source value the given location
val = context.cast(builder, val, valty, aryty.dtype)
store_item(context, builder, aryty, val, dataptr)
|
def setitem_array(context, builder, sig, args):
"""
array[a] = scalar_or_array
array[a,..,b] = scalar_or_array
"""
aryty, idxty, valty = sig.args
ary, idx, val = args
if isinstance(idxty, types.BaseTuple):
index_types = idxty.types
indices = cgutils.unpack_tuple(builder, idx, count=len(idxty))
else:
index_types = (idxty,)
indices = (idx,)
ary = make_array(aryty)(context, builder, ary)
# First try basic indexing to see if a single array location is denoted.
index_types, indices = normalize_indices(context, builder, index_types, indices)
try:
dataptr, shapes, strides = basic_indexing(
context, builder, aryty, ary, index_types, indices
)
except NotImplementedError:
use_fancy_indexing = True
else:
use_fancy_indexing = bool(shapes)
if use_fancy_indexing:
# Index describes a non-trivial view => use generic slice assignment
# (NOTE: this also handles scalar broadcasting)
return fancy_setslice(context, builder, sig, args, index_types, indices)
# Store source value the given location
val = context.cast(builder, val, valty, aryty.dtype)
store_item(context, builder, aryty, val, dataptr)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def fancy_getitem(context, builder, sig, args, aryty, ary, index_types, indices):
shapes = cgutils.unpack_tuple(builder, ary.shape)
strides = cgutils.unpack_tuple(builder, ary.strides)
data = ary.data
indexer = FancyIndexer(context, builder, aryty, ary, index_types, indices)
indexer.prepare()
# Construct output array
out_ty = sig.return_type
out_shapes = indexer.get_shape()
out = _empty_nd_impl(context, builder, out_ty, out_shapes)
out_data = out.data
out_idx = cgutils.alloca_once_value(builder, context.get_constant(types.intp, 0))
# Loop on source and copy to destination
indices, _ = indexer.begin_loops()
# No need to check for wraparound, as the indexers all ensure
# a positive index is returned.
ptr = cgutils.get_item_pointer2(
context,
builder,
data,
shapes,
strides,
aryty.layout,
indices,
wraparound=False,
boundscheck=context.enable_boundscheck,
)
val = load_item(context, builder, aryty, ptr)
# Since the destination is C-contiguous, no need for multi-dimensional
# indexing.
cur = builder.load(out_idx)
ptr = builder.gep(out_data, [cur])
store_item(context, builder, out_ty, val, ptr)
next_idx = cgutils.increment_index(builder, cur)
builder.store(next_idx, out_idx)
indexer.end_loops()
return impl_ret_new_ref(context, builder, out_ty, out._getvalue())
|
def fancy_getitem(context, builder, sig, args, aryty, ary, index_types, indices):
shapes = cgutils.unpack_tuple(builder, ary.shape)
strides = cgutils.unpack_tuple(builder, ary.strides)
data = ary.data
indexer = FancyIndexer(context, builder, aryty, ary, index_types, indices)
indexer.prepare()
# Construct output array
out_ty = sig.return_type
out_shapes = indexer.get_shape()
out = _empty_nd_impl(context, builder, out_ty, out_shapes)
out_data = out.data
out_idx = cgutils.alloca_once_value(builder, context.get_constant(types.intp, 0))
# Loop on source and copy to destination
indices, _ = indexer.begin_loops()
# No need to check for wraparound, as the indexers all ensure
# a positive index is returned.
ptr = cgutils.get_item_pointer2(
builder, data, shapes, strides, aryty.layout, indices, wraparound=False
)
val = load_item(context, builder, aryty, ptr)
# Since the destination is C-contiguous, no need for multi-dimensional
# indexing.
cur = builder.load(out_idx)
ptr = builder.gep(out_data, [cur])
store_item(context, builder, out_ty, val, ptr)
next_idx = cgutils.increment_index(builder, cur)
builder.store(next_idx, out_idx)
indexer.end_loops()
return impl_ret_new_ref(context, builder, out_ty, out._getvalue())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def maybe_copy_source(
context, builder, use_copy, srcty, src, src_shapes, src_strides, src_data
):
ptrty = src_data.type
copy_layout = "C"
copy_data = cgutils.alloca_once_value(builder, src_data)
copy_shapes = src_shapes
copy_strides = None # unneeded for contiguous arrays
with builder.if_then(use_copy, likely=False):
# Allocate temporary scratchpad
# XXX: should we use a stack-allocated array for very small
# data sizes?
allocsize = builder.mul(src.itemsize, src.nitems)
data = context.nrt.allocate(builder, allocsize)
voidptrty = data.type
data = builder.bitcast(data, ptrty)
builder.store(data, copy_data)
# Copy source data into scratchpad
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, src_shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
context,
builder,
src_data,
src_shapes,
src_strides,
srcty.layout,
indices,
)
dest_ptr = cgutils.get_item_pointer2(
context, builder, data, copy_shapes, copy_strides, copy_layout, indices
)
builder.store(builder.load(src_ptr), dest_ptr)
def src_getitem(source_indices):
assert len(source_indices) == srcty.ndim
src_ptr = cgutils.alloca_once(builder, ptrty)
with builder.if_else(use_copy, likely=False) as (if_copy, otherwise):
with if_copy:
builder.store(
cgutils.get_item_pointer2(
context,
builder,
builder.load(copy_data),
copy_shapes,
copy_strides,
copy_layout,
source_indices,
wraparound=False,
),
src_ptr,
)
with otherwise:
builder.store(
cgutils.get_item_pointer2(
context,
builder,
src_data,
src_shapes,
src_strides,
srcty.layout,
source_indices,
wraparound=False,
),
src_ptr,
)
return load_item(context, builder, srcty, builder.load(src_ptr))
def src_cleanup():
# Deallocate memory
with builder.if_then(use_copy, likely=False):
data = builder.load(copy_data)
data = builder.bitcast(data, voidptrty)
context.nrt.free(builder, data)
return src_getitem, src_cleanup
|
def maybe_copy_source(
context, builder, use_copy, srcty, src, src_shapes, src_strides, src_data
):
ptrty = src_data.type
copy_layout = "C"
copy_data = cgutils.alloca_once_value(builder, src_data)
copy_shapes = src_shapes
copy_strides = None # unneeded for contiguous arrays
with builder.if_then(use_copy, likely=False):
# Allocate temporary scratchpad
# XXX: should we use a stack-allocated array for very small
# data sizes?
allocsize = builder.mul(src.itemsize, src.nitems)
data = context.nrt.allocate(builder, allocsize)
voidptrty = data.type
data = builder.bitcast(data, ptrty)
builder.store(data, copy_data)
# Copy source data into scratchpad
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, src_shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
builder, src_data, src_shapes, src_strides, srcty.layout, indices
)
dest_ptr = cgutils.get_item_pointer2(
builder, data, copy_shapes, copy_strides, copy_layout, indices
)
builder.store(builder.load(src_ptr), dest_ptr)
def src_getitem(source_indices):
assert len(source_indices) == srcty.ndim
src_ptr = cgutils.alloca_once(builder, ptrty)
with builder.if_else(use_copy, likely=False) as (if_copy, otherwise):
with if_copy:
builder.store(
cgutils.get_item_pointer2(
builder,
builder.load(copy_data),
copy_shapes,
copy_strides,
copy_layout,
source_indices,
wraparound=False,
),
src_ptr,
)
with otherwise:
builder.store(
cgutils.get_item_pointer2(
builder,
src_data,
src_shapes,
src_strides,
srcty.layout,
source_indices,
wraparound=False,
),
src_ptr,
)
return load_item(context, builder, srcty, builder.load(src_ptr))
def src_cleanup():
# Deallocate memory
with builder.if_then(use_copy, likely=False):
data = builder.load(copy_data)
data = builder.bitcast(data, voidptrty)
context.nrt.free(builder, data)
return src_getitem, src_cleanup
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def src_getitem(source_indices):
assert len(source_indices) == srcty.ndim
src_ptr = cgutils.alloca_once(builder, ptrty)
with builder.if_else(use_copy, likely=False) as (if_copy, otherwise):
with if_copy:
builder.store(
cgutils.get_item_pointer2(
context,
builder,
builder.load(copy_data),
copy_shapes,
copy_strides,
copy_layout,
source_indices,
wraparound=False,
),
src_ptr,
)
with otherwise:
builder.store(
cgutils.get_item_pointer2(
context,
builder,
src_data,
src_shapes,
src_strides,
srcty.layout,
source_indices,
wraparound=False,
),
src_ptr,
)
return load_item(context, builder, srcty, builder.load(src_ptr))
|
def src_getitem(source_indices):
assert len(source_indices) == srcty.ndim
src_ptr = cgutils.alloca_once(builder, ptrty)
with builder.if_else(use_copy, likely=False) as (if_copy, otherwise):
with if_copy:
builder.store(
cgutils.get_item_pointer2(
builder,
builder.load(copy_data),
copy_shapes,
copy_strides,
copy_layout,
source_indices,
wraparound=False,
),
src_ptr,
)
with otherwise:
builder.store(
cgutils.get_item_pointer2(
builder,
src_data,
src_shapes,
src_strides,
srcty.layout,
source_indices,
wraparound=False,
),
src_ptr,
)
return load_item(context, builder, srcty, builder.load(src_ptr))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def fancy_setslice(context, builder, sig, args, index_types, indices):
"""
Implement slice assignment for arrays. This implementation works for
basic as well as fancy indexing, since there's no functional difference
between the two for indexed assignment.
"""
aryty, _, srcty = sig.args
ary, _, src = args
ary = make_array(aryty)(context, builder, ary)
dest_shapes = cgutils.unpack_tuple(builder, ary.shape)
dest_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_data = ary.data
indexer = FancyIndexer(context, builder, aryty, ary, index_types, indices)
indexer.prepare()
if isinstance(srcty, types.Buffer):
# Source is an array
src_dtype = srcty.dtype
index_shape = indexer.get_shape()
src = make_array(srcty)(context, builder, src)
# Broadcast source array to shape
srcty, src = _broadcast_to_shape(context, builder, srcty, src, index_shape)
src_shapes = cgutils.unpack_tuple(builder, src.shape)
src_strides = cgutils.unpack_tuple(builder, src.strides)
src_data = src.data
# Check shapes are equal
shape_error = cgutils.false_bit
assert len(index_shape) == len(src_shapes)
for u, v in zip(src_shapes, index_shape):
shape_error = builder.or_(shape_error, builder.icmp_signed("!=", u, v))
with builder.if_then(shape_error, likely=False):
msg = "cannot assign slice from input of different size"
context.call_conv.return_user_exc(builder, ValueError, (msg,))
# Check for array overlap
src_start, src_end = get_array_memory_extents(
context, builder, srcty, src, src_shapes, src_strides, src_data
)
dest_lower, dest_upper = indexer.get_offset_bounds(dest_strides, ary.itemsize)
dest_start, dest_end = compute_memory_extents(
context, builder, dest_lower, dest_upper, dest_data
)
use_copy = extents_may_overlap(
context, builder, src_start, src_end, dest_start, dest_end
)
src_getitem, src_cleanup = maybe_copy_source(
context, builder, use_copy, srcty, src, src_shapes, src_strides, src_data
)
elif isinstance(srcty, types.Sequence):
src_dtype = srcty.dtype
# Check shape is equal to sequence length
index_shape = indexer.get_shape()
assert len(index_shape) == 1
len_impl = context.get_function(len, signature(types.intp, srcty))
seq_len = len_impl(builder, (src,))
shape_error = builder.icmp_signed("!=", index_shape[0], seq_len)
with builder.if_then(shape_error, likely=False):
msg = "cannot assign slice from input of different size"
context.call_conv.return_user_exc(builder, ValueError, (msg,))
def src_getitem(source_indices):
(idx,) = source_indices
getitem_impl = context.get_function(
operator.getitem,
signature(src_dtype, srcty, types.intp),
)
return getitem_impl(builder, (src, idx))
def src_cleanup():
pass
else:
# Source is a scalar (broadcast or not, depending on destination
# shape).
src_dtype = srcty
def src_getitem(source_indices):
return src
def src_cleanup():
pass
# Loop on destination and copy from source to destination
dest_indices, counts = indexer.begin_loops()
# Source is iterated in natural order
source_indices = tuple(c for c in counts if c is not None)
val = src_getitem(source_indices)
# Cast to the destination dtype (cross-dtype slice assignement is allowed)
val = context.cast(builder, val, src_dtype, aryty.dtype)
# No need to check for wraparound, as the indexers all ensure
# a positive index is returned.
dest_ptr = cgutils.get_item_pointer2(
context,
builder,
dest_data,
dest_shapes,
dest_strides,
aryty.layout,
dest_indices,
wraparound=False,
)
store_item(context, builder, aryty, val, dest_ptr)
indexer.end_loops()
src_cleanup()
return context.get_dummy_value()
|
def fancy_setslice(context, builder, sig, args, index_types, indices):
"""
Implement slice assignment for arrays. This implementation works for
basic as well as fancy indexing, since there's no functional difference
between the two for indexed assignment.
"""
aryty, _, srcty = sig.args
ary, _, src = args
ary = make_array(aryty)(context, builder, ary)
dest_shapes = cgutils.unpack_tuple(builder, ary.shape)
dest_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_data = ary.data
indexer = FancyIndexer(context, builder, aryty, ary, index_types, indices)
indexer.prepare()
if isinstance(srcty, types.Buffer):
# Source is an array
src_dtype = srcty.dtype
index_shape = indexer.get_shape()
src = make_array(srcty)(context, builder, src)
# Broadcast source array to shape
srcty, src = _broadcast_to_shape(context, builder, srcty, src, index_shape)
src_shapes = cgutils.unpack_tuple(builder, src.shape)
src_strides = cgutils.unpack_tuple(builder, src.strides)
src_data = src.data
# Check shapes are equal
shape_error = cgutils.false_bit
assert len(index_shape) == len(src_shapes)
for u, v in zip(src_shapes, index_shape):
shape_error = builder.or_(shape_error, builder.icmp_signed("!=", u, v))
with builder.if_then(shape_error, likely=False):
msg = "cannot assign slice from input of different size"
context.call_conv.return_user_exc(builder, ValueError, (msg,))
# Check for array overlap
src_start, src_end = get_array_memory_extents(
context, builder, srcty, src, src_shapes, src_strides, src_data
)
dest_lower, dest_upper = indexer.get_offset_bounds(dest_strides, ary.itemsize)
dest_start, dest_end = compute_memory_extents(
context, builder, dest_lower, dest_upper, dest_data
)
use_copy = extents_may_overlap(
context, builder, src_start, src_end, dest_start, dest_end
)
src_getitem, src_cleanup = maybe_copy_source(
context, builder, use_copy, srcty, src, src_shapes, src_strides, src_data
)
elif isinstance(srcty, types.Sequence):
src_dtype = srcty.dtype
# Check shape is equal to sequence length
index_shape = indexer.get_shape()
assert len(index_shape) == 1
len_impl = context.get_function(len, signature(types.intp, srcty))
seq_len = len_impl(builder, (src,))
shape_error = builder.icmp_signed("!=", index_shape[0], seq_len)
with builder.if_then(shape_error, likely=False):
msg = "cannot assign slice from input of different size"
context.call_conv.return_user_exc(builder, ValueError, (msg,))
def src_getitem(source_indices):
(idx,) = source_indices
getitem_impl = context.get_function(
operator.getitem,
signature(src_dtype, srcty, types.intp),
)
return getitem_impl(builder, (src, idx))
def src_cleanup():
pass
else:
# Source is a scalar (broadcast or not, depending on destination
# shape).
src_dtype = srcty
def src_getitem(source_indices):
return src
def src_cleanup():
pass
# Loop on destination and copy from source to destination
dest_indices, counts = indexer.begin_loops()
# Source is iterated in natural order
source_indices = tuple(c for c in counts if c is not None)
val = src_getitem(source_indices)
# Cast to the destination dtype (cross-dtype slice assignement is allowed)
val = context.cast(builder, val, src_dtype, aryty.dtype)
# No need to check for wraparound, as the indexers all ensure
# a positive index is returned.
dest_ptr = cgutils.get_item_pointer2(
builder,
dest_data,
dest_shapes,
dest_strides,
aryty.layout,
dest_indices,
wraparound=False,
)
store_item(context, builder, aryty, val, dest_ptr)
indexer.end_loops()
src_cleanup()
return context.get_dummy_value()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def array_repeat(a, repeats):
def array_repeat_impl(a, repeats):
return np.repeat(a, repeats)
return array_repeat_impl
|
def array_repeat(a, repeats):
def array_repeat_impl(a, repeat):
return np.repeat(a, repeat)
return array_repeat_impl
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def array_repeat_impl(a, repeats):
return np.repeat(a, repeats)
|
def array_repeat_impl(a, repeat):
return np.repeat(a, repeat)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def array_complex_attr(context, builder, typ, value, attr):
"""
Given a complex array, it's memory layout is:
R C R C R C
^ ^ ^
(`R` indicates a float for the real part;
`C` indicates a float for the imaginary part;
the `^` indicates the start of each element)
To get the real part, we can simply change the dtype and itemsize to that
of the underlying float type. The new layout is:
R x R x R x
^ ^ ^
(`x` indicates unused)
A load operation will use the dtype to determine the number of bytes to
load.
To get the imaginary part, we shift the pointer by 1 float offset and
change the dtype and itemsize. The new layout is:
x C x C x C
^ ^ ^
"""
if attr not in ["real", "imag"] or typ.dtype not in types.complex_domain:
raise NotImplementedError("cannot get attribute `{}`".format(attr))
arrayty = make_array(typ)
array = arrayty(context, builder, value)
# sizeof underlying float type
flty = typ.dtype.underlying_float
sizeof_flty = context.get_abi_sizeof(context.get_data_type(flty))
itemsize = array.itemsize.type(sizeof_flty)
# cast data pointer to float type
llfltptrty = context.get_value_type(flty).as_pointer()
dataptr = builder.bitcast(array.data, llfltptrty)
# add offset
if attr == "imag":
dataptr = builder.gep(dataptr, [ir.IntType(32)(1)])
# make result
resultty = typ.copy(dtype=flty, layout="A")
result = make_array(resultty)(context, builder)
repl = dict(data=dataptr, itemsize=itemsize)
cgutils.copy_struct(result, array, repl)
return impl_ret_borrowed(context, builder, resultty, result._getvalue())
|
def array_complex_attr(context, builder, typ, value, attr):
"""
Given a complex array, it's memory layout is:
R C R C R C
^ ^ ^
(`R` indicates a float for the real part;
`C` indicates a float for the imaginery part;
the `^` indicates the start of each element)
To get the real part, we can simply change the dtype and itemsize to that
of the underlying float type. The new layout is:
R x R x R x
^ ^ ^
(`x` indicates unused)
A load operation will use the dtype to determine the number of bytes to
load.
To get the imaginary part, we shift the pointer by 1 float offset and
change the dtype and itemsize. The new layout is:
x C x C x C
^ ^ ^
"""
if attr not in ["real", "imag"] or typ.dtype not in types.complex_domain:
raise NotImplementedError("cannot get attribute `{}`".format(attr))
arrayty = make_array(typ)
array = arrayty(context, builder, value)
# sizeof underlying float type
flty = typ.dtype.underlying_float
sizeof_flty = context.get_abi_sizeof(context.get_data_type(flty))
itemsize = array.itemsize.type(sizeof_flty)
# cast data pointer to float type
llfltptrty = context.get_value_type(flty).as_pointer()
dataptr = builder.bitcast(array.data, llfltptrty)
# add offset
if attr == "imag":
dataptr = builder.gep(dataptr, [ir.IntType(32)(1)])
# make result
resultty = typ.copy(dtype=flty, layout="A")
result = make_array(resultty)(context, builder)
repl = dict(data=dataptr, itemsize=itemsize)
cgutils.copy_struct(result, array, repl)
return impl_ret_borrowed(context, builder, resultty, result._getvalue())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def make_nditer_cls(nditerty):
"""
Return the Structure representation of the given *nditerty* (an
instance of types.NumpyNdIterType).
"""
ndim = nditerty.ndim
layout = nditerty.layout
narrays = len(nditerty.arrays)
nshapes = ndim if nditerty.need_shaped_indexing else 1
class BaseSubIter(object):
"""
Base class for sub-iterators of a nditer() instance.
"""
def __init__(self, nditer, member_name, start_dim, end_dim):
self.nditer = nditer
self.member_name = member_name
self.start_dim = start_dim
self.end_dim = end_dim
self.ndim = end_dim - start_dim
def set_member_ptr(self, ptr):
setattr(self.nditer, self.member_name, ptr)
@utils.cached_property
def member_ptr(self):
return getattr(self.nditer, self.member_name)
def init_specific(self, context, builder):
pass
def loop_continue(self, context, builder, logical_dim):
pass
def loop_break(self, context, builder, logical_dim):
pass
class FlatSubIter(BaseSubIter):
"""
Sub-iterator walking a contiguous array in physical order, with
support for broadcasting (the index is reset on the outer dimension).
"""
def init_specific(self, context, builder):
zero = context.get_constant(types.intp, 0)
self.set_member_ptr(cgutils.alloca_once_value(builder, zero))
def compute_pointer(self, context, builder, indices, arrty, arr):
index = builder.load(self.member_ptr)
return builder.gep(arr.data, [index])
def loop_continue(self, context, builder, logical_dim):
if logical_dim == self.ndim - 1:
# Only increment index inside innermost logical dimension
index = builder.load(self.member_ptr)
index = cgutils.increment_index(builder, index)
builder.store(index, self.member_ptr)
def loop_break(self, context, builder, logical_dim):
if logical_dim == 0:
# At the exit of outermost logical dimension, reset index
zero = context.get_constant(types.intp, 0)
builder.store(zero, self.member_ptr)
elif logical_dim == self.ndim - 1:
# Inside innermost logical dimension, increment index
index = builder.load(self.member_ptr)
index = cgutils.increment_index(builder, index)
builder.store(index, self.member_ptr)
class TrivialFlatSubIter(BaseSubIter):
"""
Sub-iterator walking a contiguous array in physical order,
*without* support for broadcasting.
"""
def init_specific(self, context, builder):
assert not nditerty.need_shaped_indexing
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) <= 1, len(indices)
return builder.gep(arr.data, indices)
class IndexedSubIter(BaseSubIter):
"""
Sub-iterator walking an array in logical order.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) == self.ndim
return cgutils.get_item_pointer(
context, builder, arrty, arr, indices, wraparound=False
)
class ZeroDimSubIter(BaseSubIter):
"""
Sub-iterator "walking" a 0-d array.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
return arr.data
class ScalarSubIter(BaseSubIter):
"""
Sub-iterator "walking" a scalar value.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
return arr
class NdIter(cgutils.create_struct_proxy(nditerty)):
"""
.nditer() implementation.
Note: 'F' layout means the shape is iterated in reverse logical order,
so indices and shapes arrays have to be reversed as well.
"""
@utils.cached_property
def subiters(self):
l = []
factories = {
"flat": FlatSubIter
if nditerty.need_shaped_indexing
else TrivialFlatSubIter,
"indexed": IndexedSubIter,
"0d": ZeroDimSubIter,
"scalar": ScalarSubIter,
}
for i, sub in enumerate(nditerty.indexers):
kind, start_dim, end_dim, _ = sub
member_name = "index%d" % i
factory = factories[kind]
l.append(factory(self, member_name, start_dim, end_dim))
return l
def init_specific(self, context, builder, arrtys, arrays):
"""
Initialize the nditer() instance for the specific array inputs.
"""
zero = context.get_constant(types.intp, 0)
# Store inputs
self.arrays = context.make_tuple(builder, types.Tuple(arrtys), arrays)
# Create slots for scalars
for i, ty in enumerate(arrtys):
if not isinstance(ty, types.Array):
member_name = "scalar%d" % i
# XXX as_data()?
slot = cgutils.alloca_once_value(builder, arrays[i])
setattr(self, member_name, slot)
arrays = self._arrays_or_scalars(context, builder, arrtys, arrays)
# Extract iterator shape (the shape of the most-dimensional input)
main_shape_ty = types.UniTuple(types.intp, ndim)
main_shape = None
main_nitems = None
for i, arrty in enumerate(arrtys):
if isinstance(arrty, types.Array) and arrty.ndim == ndim:
main_shape = arrays[i].shape
main_nitems = arrays[i].nitems
break
else:
# Only scalar inputs => synthesize a dummy shape
assert ndim == 0
main_shape = context.make_tuple(builder, main_shape_ty, ())
main_nitems = context.get_constant(types.intp, 1)
# Validate shapes of array inputs
def check_shape(shape, main_shape):
n = len(shape)
for i in range(n):
if shape[i] != main_shape[len(main_shape) - n + i]:
raise ValueError(
"nditer(): operands could not be broadcast together"
)
for arrty, arr in zip(arrtys, arrays):
if isinstance(arrty, types.Array) and arrty.ndim > 0:
sig = signature(
types.none,
types.UniTuple(types.intp, arrty.ndim),
main_shape_ty,
)
context.compile_internal(
builder, check_shape, sig, (arr.shape, main_shape)
)
# Compute shape and size
shapes = cgutils.unpack_tuple(builder, main_shape)
if layout == "F":
shapes = shapes[::-1]
# If shape is empty, mark iterator exhausted
shape_is_empty = builder.icmp_signed("==", main_nitems, zero)
exhausted = builder.select(
shape_is_empty, cgutils.true_byte, cgutils.false_byte
)
if not nditerty.need_shaped_indexing:
# Flatten shape to make iteration faster on small innermost
# dimensions (e.g. a (100000, 3) shape)
shapes = (main_nitems,)
assert len(shapes) == nshapes
indices = cgutils.alloca_once(builder, zero.type, size=nshapes)
for dim in range(nshapes):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
builder.store(zero, idxptr)
self.indices = indices
self.shape = cgutils.pack_array(builder, shapes, zero.type)
self.exhausted = cgutils.alloca_once_value(builder, exhausted)
# Initialize subiterators
for subiter in self.subiters:
subiter.init_specific(context, builder)
def iternext_specific(self, context, builder, result):
"""
Compute next iteration of the nditer() instance.
"""
bbend = builder.append_basic_block("end")
# Branch early if exhausted
exhausted = cgutils.as_bool_bit(builder, builder.load(self.exhausted))
with cgutils.if_unlikely(builder, exhausted):
result.set_valid(False)
builder.branch(bbend)
arrtys = nditerty.arrays
arrays = cgutils.unpack_tuple(builder, self.arrays)
arrays = self._arrays_or_scalars(context, builder, arrtys, arrays)
indices = self.indices
# Compute iterated results
result.set_valid(True)
views = self._make_views(context, builder, indices, arrtys, arrays)
views = [v._getvalue() for v in views]
if len(views) == 1:
result.yield_(views[0])
else:
result.yield_(context.make_tuple(builder, nditerty.yield_type, views))
shape = cgutils.unpack_tuple(builder, self.shape)
_increment_indices(
context,
builder,
len(shape),
shape,
indices,
self.exhausted,
functools.partial(self._loop_continue, context, builder),
functools.partial(self._loop_break, context, builder),
)
builder.branch(bbend)
builder.position_at_end(bbend)
def _loop_continue(self, context, builder, dim):
for sub in self.subiters:
if sub.start_dim <= dim < sub.end_dim:
sub.loop_continue(context, builder, dim - sub.start_dim)
def _loop_break(self, context, builder, dim):
for sub in self.subiters:
if sub.start_dim <= dim < sub.end_dim:
sub.loop_break(context, builder, dim - sub.start_dim)
def _make_views(self, context, builder, indices, arrtys, arrays):
"""
Compute the views to be yielded.
"""
views = [None] * narrays
indexers = nditerty.indexers
subiters = self.subiters
rettys = nditerty.yield_type
if isinstance(rettys, types.BaseTuple):
rettys = list(rettys)
else:
rettys = [rettys]
indices = [
builder.load(cgutils.gep_inbounds(builder, indices, i))
for i in range(nshapes)
]
for sub, subiter in zip(indexers, subiters):
_, _, _, array_indices = sub
sub_indices = indices[subiter.start_dim : subiter.end_dim]
if layout == "F":
sub_indices = sub_indices[::-1]
for i in array_indices:
assert views[i] is None
views[i] = self._make_view(
context,
builder,
sub_indices,
rettys[i],
arrtys[i],
arrays[i],
subiter,
)
assert all(v for v in views)
return views
def _make_view(self, context, builder, indices, retty, arrty, arr, subiter):
"""
Compute a 0d view for a given input array.
"""
assert isinstance(retty, types.Array) and retty.ndim == 0
ptr = subiter.compute_pointer(context, builder, indices, arrty, arr)
view = context.make_array(retty)(context, builder)
itemsize = get_itemsize(context, retty)
shape = context.make_tuple(builder, types.UniTuple(types.intp, 0), ())
strides = context.make_tuple(builder, types.UniTuple(types.intp, 0), ())
# HACK: meminfo=None avoids expensive refcounting operations
# on ephemeral views
populate_array(view, ptr, shape, strides, itemsize, meminfo=None)
return view
def _arrays_or_scalars(self, context, builder, arrtys, arrays):
# Return a list of either array structures or pointers to
# scalar slots
l = []
for i, (arrty, arr) in enumerate(zip(arrtys, arrays)):
if isinstance(arrty, types.Array):
l.append(context.make_array(arrty)(context, builder, value=arr))
else:
l.append(getattr(self, "scalar%d" % i))
return l
return NdIter
|
def make_nditer_cls(nditerty):
"""
Return the Structure representation of the given *nditerty* (an
instance of types.NumpyNdIterType).
"""
ndim = nditerty.ndim
layout = nditerty.layout
narrays = len(nditerty.arrays)
nshapes = ndim if nditerty.need_shaped_indexing else 1
class BaseSubIter(object):
"""
Base class for sub-iterators of a nditer() instance.
"""
def __init__(self, nditer, member_name, start_dim, end_dim):
self.nditer = nditer
self.member_name = member_name
self.start_dim = start_dim
self.end_dim = end_dim
self.ndim = end_dim - start_dim
def set_member_ptr(self, ptr):
setattr(self.nditer, self.member_name, ptr)
@utils.cached_property
def member_ptr(self):
return getattr(self.nditer, self.member_name)
def init_specific(self, context, builder):
pass
def loop_continue(self, context, builder, logical_dim):
pass
def loop_break(self, context, builder, logical_dim):
pass
class FlatSubIter(BaseSubIter):
"""
Sub-iterator walking a contiguous array in physical order, with
support for broadcasting (the index is reset on the outer dimension).
"""
def init_specific(self, context, builder):
zero = context.get_constant(types.intp, 0)
self.set_member_ptr(cgutils.alloca_once_value(builder, zero))
def compute_pointer(self, context, builder, indices, arrty, arr):
index = builder.load(self.member_ptr)
return builder.gep(arr.data, [index])
def loop_continue(self, context, builder, logical_dim):
if logical_dim == self.ndim - 1:
# Only increment index inside innermost logical dimension
index = builder.load(self.member_ptr)
index = cgutils.increment_index(builder, index)
builder.store(index, self.member_ptr)
def loop_break(self, context, builder, logical_dim):
if logical_dim == 0:
# At the exit of outermost logical dimension, reset index
zero = context.get_constant(types.intp, 0)
builder.store(zero, self.member_ptr)
elif logical_dim == self.ndim - 1:
# Inside innermost logical dimension, increment index
index = builder.load(self.member_ptr)
index = cgutils.increment_index(builder, index)
builder.store(index, self.member_ptr)
class TrivialFlatSubIter(BaseSubIter):
"""
Sub-iterator walking a contiguous array in physical order,
*without* support for broadcasting.
"""
def init_specific(self, context, builder):
assert not nditerty.need_shaped_indexing
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) <= 1, len(indices)
return builder.gep(arr.data, indices)
class IndexedSubIter(BaseSubIter):
"""
Sub-iterator walking an array in logical order.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) == self.ndim
return cgutils.get_item_pointer(
builder, arrty, arr, indices, wraparound=False
)
class ZeroDimSubIter(BaseSubIter):
"""
Sub-iterator "walking" a 0-d array.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
return arr.data
class ScalarSubIter(BaseSubIter):
"""
Sub-iterator "walking" a scalar value.
"""
def compute_pointer(self, context, builder, indices, arrty, arr):
return arr
class NdIter(cgutils.create_struct_proxy(nditerty)):
"""
.nditer() implementation.
Note: 'F' layout means the shape is iterated in reverse logical order,
so indices and shapes arrays have to be reversed as well.
"""
@utils.cached_property
def subiters(self):
l = []
factories = {
"flat": FlatSubIter
if nditerty.need_shaped_indexing
else TrivialFlatSubIter,
"indexed": IndexedSubIter,
"0d": ZeroDimSubIter,
"scalar": ScalarSubIter,
}
for i, sub in enumerate(nditerty.indexers):
kind, start_dim, end_dim, _ = sub
member_name = "index%d" % i
factory = factories[kind]
l.append(factory(self, member_name, start_dim, end_dim))
return l
def init_specific(self, context, builder, arrtys, arrays):
"""
Initialize the nditer() instance for the specific array inputs.
"""
zero = context.get_constant(types.intp, 0)
# Store inputs
self.arrays = context.make_tuple(builder, types.Tuple(arrtys), arrays)
# Create slots for scalars
for i, ty in enumerate(arrtys):
if not isinstance(ty, types.Array):
member_name = "scalar%d" % i
# XXX as_data()?
slot = cgutils.alloca_once_value(builder, arrays[i])
setattr(self, member_name, slot)
arrays = self._arrays_or_scalars(context, builder, arrtys, arrays)
# Extract iterator shape (the shape of the most-dimensional input)
main_shape_ty = types.UniTuple(types.intp, ndim)
main_shape = None
main_nitems = None
for i, arrty in enumerate(arrtys):
if isinstance(arrty, types.Array) and arrty.ndim == ndim:
main_shape = arrays[i].shape
main_nitems = arrays[i].nitems
break
else:
# Only scalar inputs => synthesize a dummy shape
assert ndim == 0
main_shape = context.make_tuple(builder, main_shape_ty, ())
main_nitems = context.get_constant(types.intp, 1)
# Validate shapes of array inputs
def check_shape(shape, main_shape):
n = len(shape)
for i in range(n):
if shape[i] != main_shape[len(main_shape) - n + i]:
raise ValueError(
"nditer(): operands could not be broadcast together"
)
for arrty, arr in zip(arrtys, arrays):
if isinstance(arrty, types.Array) and arrty.ndim > 0:
sig = signature(
types.none,
types.UniTuple(types.intp, arrty.ndim),
main_shape_ty,
)
context.compile_internal(
builder, check_shape, sig, (arr.shape, main_shape)
)
# Compute shape and size
shapes = cgutils.unpack_tuple(builder, main_shape)
if layout == "F":
shapes = shapes[::-1]
# If shape is empty, mark iterator exhausted
shape_is_empty = builder.icmp_signed("==", main_nitems, zero)
exhausted = builder.select(
shape_is_empty, cgutils.true_byte, cgutils.false_byte
)
if not nditerty.need_shaped_indexing:
# Flatten shape to make iteration faster on small innermost
# dimensions (e.g. a (100000, 3) shape)
shapes = (main_nitems,)
assert len(shapes) == nshapes
indices = cgutils.alloca_once(builder, zero.type, size=nshapes)
for dim in range(nshapes):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
builder.store(zero, idxptr)
self.indices = indices
self.shape = cgutils.pack_array(builder, shapes, zero.type)
self.exhausted = cgutils.alloca_once_value(builder, exhausted)
# Initialize subiterators
for subiter in self.subiters:
subiter.init_specific(context, builder)
def iternext_specific(self, context, builder, result):
"""
Compute next iteration of the nditer() instance.
"""
bbend = builder.append_basic_block("end")
# Branch early if exhausted
exhausted = cgutils.as_bool_bit(builder, builder.load(self.exhausted))
with cgutils.if_unlikely(builder, exhausted):
result.set_valid(False)
builder.branch(bbend)
arrtys = nditerty.arrays
arrays = cgutils.unpack_tuple(builder, self.arrays)
arrays = self._arrays_or_scalars(context, builder, arrtys, arrays)
indices = self.indices
# Compute iterated results
result.set_valid(True)
views = self._make_views(context, builder, indices, arrtys, arrays)
views = [v._getvalue() for v in views]
if len(views) == 1:
result.yield_(views[0])
else:
result.yield_(context.make_tuple(builder, nditerty.yield_type, views))
shape = cgutils.unpack_tuple(builder, self.shape)
_increment_indices(
context,
builder,
len(shape),
shape,
indices,
self.exhausted,
functools.partial(self._loop_continue, context, builder),
functools.partial(self._loop_break, context, builder),
)
builder.branch(bbend)
builder.position_at_end(bbend)
def _loop_continue(self, context, builder, dim):
for sub in self.subiters:
if sub.start_dim <= dim < sub.end_dim:
sub.loop_continue(context, builder, dim - sub.start_dim)
def _loop_break(self, context, builder, dim):
for sub in self.subiters:
if sub.start_dim <= dim < sub.end_dim:
sub.loop_break(context, builder, dim - sub.start_dim)
def _make_views(self, context, builder, indices, arrtys, arrays):
"""
Compute the views to be yielded.
"""
views = [None] * narrays
indexers = nditerty.indexers
subiters = self.subiters
rettys = nditerty.yield_type
if isinstance(rettys, types.BaseTuple):
rettys = list(rettys)
else:
rettys = [rettys]
indices = [
builder.load(cgutils.gep_inbounds(builder, indices, i))
for i in range(nshapes)
]
for sub, subiter in zip(indexers, subiters):
_, _, _, array_indices = sub
sub_indices = indices[subiter.start_dim : subiter.end_dim]
if layout == "F":
sub_indices = sub_indices[::-1]
for i in array_indices:
assert views[i] is None
views[i] = self._make_view(
context,
builder,
sub_indices,
rettys[i],
arrtys[i],
arrays[i],
subiter,
)
assert all(v for v in views)
return views
def _make_view(self, context, builder, indices, retty, arrty, arr, subiter):
"""
Compute a 0d view for a given input array.
"""
assert isinstance(retty, types.Array) and retty.ndim == 0
ptr = subiter.compute_pointer(context, builder, indices, arrty, arr)
view = context.make_array(retty)(context, builder)
itemsize = get_itemsize(context, retty)
shape = context.make_tuple(builder, types.UniTuple(types.intp, 0), ())
strides = context.make_tuple(builder, types.UniTuple(types.intp, 0), ())
# HACK: meminfo=None avoids expensive refcounting operations
# on ephemeral views
populate_array(view, ptr, shape, strides, itemsize, meminfo=None)
return view
def _arrays_or_scalars(self, context, builder, arrtys, arrays):
# Return a list of either array structures or pointers to
# scalar slots
l = []
for i, (arrty, arr) in enumerate(zip(arrtys, arrays)):
if isinstance(arrty, types.Array):
l.append(context.make_array(arrty)(context, builder, value=arr))
else:
l.append(getattr(self, "scalar%d" % i))
return l
return NdIter
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) == self.ndim
return cgutils.get_item_pointer(
context, builder, arrty, arr, indices, wraparound=False
)
|
def compute_pointer(self, context, builder, indices, arrty, arr):
assert len(indices) == self.ndim
return cgutils.get_item_pointer(builder, arrty, arr, indices, wraparound=False)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _make_flattening_iter_cls(flatiterty, kind):
assert kind in ("flat", "ndenumerate")
array_type = flatiterty.array_type
if array_type.layout == "C":
class CContiguousFlatIter(cgutils.create_struct_proxy(flatiterty)):
"""
.flat() / .ndenumerate() implementation for C-contiguous arrays.
"""
def init_specific(self, context, builder, arrty, arr):
zero = context.get_constant(types.intp, 0)
self.index = cgutils.alloca_once_value(builder, zero)
# We can't trust strides[-1] to always contain the right
# step value, see
# http://docs.scipy.org/doc/numpy-dev/release.html#npy-relaxed-strides-checking # noqa: E501
self.stride = arr.itemsize
if kind == "ndenumerate":
# Zero-initialize the indices array.
indices = cgutils.alloca_once(
builder,
zero.type,
size=context.get_constant(types.intp, arrty.ndim),
)
for dim in range(arrty.ndim):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
builder.store(zero, idxptr)
self.indices = indices
# NOTE: Using gep() instead of explicit pointer addition helps
# LLVM vectorize the loop (since the stride is known and
# constant). This is not possible in the non-contiguous case,
# where the strides are unknown at compile-time.
def iternext_specific(self, context, builder, arrty, arr, result):
ndim = arrty.ndim
nitems = arr.nitems
index = builder.load(self.index)
is_valid = builder.icmp(lc.ICMP_SLT, index, nitems)
result.set_valid(is_valid)
with cgutils.if_likely(builder, is_valid):
ptr = builder.gep(arr.data, [index])
value = load_item(context, builder, arrty, ptr)
if kind == "flat":
result.yield_(value)
else:
# ndenumerate(): fetch and increment indices
indices = self.indices
idxvals = [
builder.load(cgutils.gep_inbounds(builder, indices, dim))
for dim in range(ndim)
]
idxtuple = cgutils.pack_array(builder, idxvals)
result.yield_(
cgutils.make_anonymous_struct(builder, [idxtuple, value])
)
_increment_indices_array(context, builder, arrty, arr, indices)
index = cgutils.increment_index(builder, index)
builder.store(index, self.index)
def getitem(self, context, builder, arrty, arr, index):
ptr = builder.gep(arr.data, [index])
return load_item(context, builder, arrty, ptr)
def setitem(self, context, builder, arrty, arr, index, value):
ptr = builder.gep(arr.data, [index])
store_item(context, builder, arrty, value, ptr)
return CContiguousFlatIter
else:
class FlatIter(cgutils.create_struct_proxy(flatiterty)):
"""
Generic .flat() / .ndenumerate() implementation for
non-contiguous arrays.
It keeps track of pointers along each dimension in order to
minimize computations.
"""
def init_specific(self, context, builder, arrty, arr):
zero = context.get_constant(types.intp, 0)
data = arr.data
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, ndim)
indices = cgutils.alloca_once(
builder,
zero.type,
size=context.get_constant(types.intp, arrty.ndim),
)
pointers = cgutils.alloca_once(
builder,
data.type,
size=context.get_constant(types.intp, arrty.ndim),
)
exhausted = cgutils.alloca_once_value(builder, cgutils.false_byte)
# Initialize indices and pointers with their start values.
for dim in range(ndim):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
ptrptr = cgutils.gep_inbounds(builder, pointers, dim)
builder.store(data, ptrptr)
builder.store(zero, idxptr)
# 0-sized dimensions really indicate an empty array,
# but we have to catch that condition early to avoid
# a bug inside the iteration logic (see issue #846).
dim_size = shapes[dim]
dim_is_empty = builder.icmp(lc.ICMP_EQ, dim_size, zero)
with cgutils.if_unlikely(builder, dim_is_empty):
builder.store(cgutils.true_byte, exhausted)
self.indices = indices
self.pointers = pointers
self.exhausted = exhausted
def iternext_specific(self, context, builder, arrty, arr, result):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, ndim)
indices = self.indices
pointers = self.pointers
zero = context.get_constant(types.intp, 0)
bbend = builder.append_basic_block("end")
# Catch already computed iterator exhaustion
is_exhausted = cgutils.as_bool_bit(
builder, builder.load(self.exhausted)
)
with cgutils.if_unlikely(builder, is_exhausted):
result.set_valid(False)
builder.branch(bbend)
result.set_valid(True)
# Current pointer inside last dimension
last_ptr = cgutils.gep_inbounds(builder, pointers, ndim - 1)
ptr = builder.load(last_ptr)
value = load_item(context, builder, arrty, ptr)
if kind == "flat":
result.yield_(value)
else:
# ndenumerate() => yield (indices, value)
idxvals = [
builder.load(cgutils.gep_inbounds(builder, indices, dim))
for dim in range(ndim)
]
idxtuple = cgutils.pack_array(builder, idxvals)
result.yield_(
cgutils.make_anonymous_struct(builder, [idxtuple, value])
)
# Update indices and pointers by walking from inner
# dimension to outer.
for dim in reversed(range(ndim)):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
idx = cgutils.increment_index(builder, builder.load(idxptr))
count = shapes[dim]
stride = strides[dim]
in_bounds = builder.icmp(lc.ICMP_SLT, idx, count)
with cgutils.if_likely(builder, in_bounds):
# Index is valid => pointer can simply be incremented.
builder.store(idx, idxptr)
ptrptr = cgutils.gep_inbounds(builder, pointers, dim)
ptr = builder.load(ptrptr)
ptr = cgutils.pointer_add(builder, ptr, stride)
builder.store(ptr, ptrptr)
# Reset pointers in inner dimensions
for inner_dim in range(dim + 1, ndim):
ptrptr = cgutils.gep_inbounds(builder, pointers, inner_dim)
builder.store(ptr, ptrptr)
builder.branch(bbend)
# Reset index and continue with next dimension
builder.store(zero, idxptr)
# End of array
builder.store(cgutils.true_byte, self.exhausted)
builder.branch(bbend)
builder.position_at_end(bbend)
def _ptr_for_index(self, context, builder, arrty, arr, index):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, count=ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, count=ndim)
# First convert the flattened index into a regular n-dim index
indices = []
for dim in reversed(range(ndim)):
indices.append(builder.urem(index, shapes[dim]))
index = builder.udiv(index, shapes[dim])
indices.reverse()
ptr = cgutils.get_item_pointer2(
context, builder, arr.data, shapes, strides, arrty.layout, indices
)
return ptr
def getitem(self, context, builder, arrty, arr, index):
ptr = self._ptr_for_index(context, builder, arrty, arr, index)
return load_item(context, builder, arrty, ptr)
def setitem(self, context, builder, arrty, arr, index, value):
ptr = self._ptr_for_index(context, builder, arrty, arr, index)
store_item(context, builder, arrty, value, ptr)
return FlatIter
|
def _make_flattening_iter_cls(flatiterty, kind):
assert kind in ("flat", "ndenumerate")
array_type = flatiterty.array_type
if array_type.layout == "C":
class CContiguousFlatIter(cgutils.create_struct_proxy(flatiterty)):
"""
.flat() / .ndenumerate() implementation for C-contiguous arrays.
"""
def init_specific(self, context, builder, arrty, arr):
zero = context.get_constant(types.intp, 0)
self.index = cgutils.alloca_once_value(builder, zero)
# We can't trust strides[-1] to always contain the right
# step value, see
# http://docs.scipy.org/doc/numpy-dev/release.html#npy-relaxed-strides-checking # noqa: E501
self.stride = arr.itemsize
if kind == "ndenumerate":
# Zero-initialize the indices array.
indices = cgutils.alloca_once(
builder,
zero.type,
size=context.get_constant(types.intp, arrty.ndim),
)
for dim in range(arrty.ndim):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
builder.store(zero, idxptr)
self.indices = indices
# NOTE: Using gep() instead of explicit pointer addition helps
# LLVM vectorize the loop (since the stride is known and
# constant). This is not possible in the non-contiguous case,
# where the strides are unknown at compile-time.
def iternext_specific(self, context, builder, arrty, arr, result):
ndim = arrty.ndim
nitems = arr.nitems
index = builder.load(self.index)
is_valid = builder.icmp(lc.ICMP_SLT, index, nitems)
result.set_valid(is_valid)
with cgutils.if_likely(builder, is_valid):
ptr = builder.gep(arr.data, [index])
value = load_item(context, builder, arrty, ptr)
if kind == "flat":
result.yield_(value)
else:
# ndenumerate(): fetch and increment indices
indices = self.indices
idxvals = [
builder.load(cgutils.gep_inbounds(builder, indices, dim))
for dim in range(ndim)
]
idxtuple = cgutils.pack_array(builder, idxvals)
result.yield_(
cgutils.make_anonymous_struct(builder, [idxtuple, value])
)
_increment_indices_array(context, builder, arrty, arr, indices)
index = cgutils.increment_index(builder, index)
builder.store(index, self.index)
def getitem(self, context, builder, arrty, arr, index):
ptr = builder.gep(arr.data, [index])
return load_item(context, builder, arrty, ptr)
def setitem(self, context, builder, arrty, arr, index, value):
ptr = builder.gep(arr.data, [index])
store_item(context, builder, arrty, value, ptr)
return CContiguousFlatIter
else:
class FlatIter(cgutils.create_struct_proxy(flatiterty)):
"""
Generic .flat() / .ndenumerate() implementation for
non-contiguous arrays.
It keeps track of pointers along each dimension in order to
minimize computations.
"""
def init_specific(self, context, builder, arrty, arr):
zero = context.get_constant(types.intp, 0)
data = arr.data
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, ndim)
indices = cgutils.alloca_once(
builder,
zero.type,
size=context.get_constant(types.intp, arrty.ndim),
)
pointers = cgutils.alloca_once(
builder,
data.type,
size=context.get_constant(types.intp, arrty.ndim),
)
exhausted = cgutils.alloca_once_value(builder, cgutils.false_byte)
# Initialize indices and pointers with their start values.
for dim in range(ndim):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
ptrptr = cgutils.gep_inbounds(builder, pointers, dim)
builder.store(data, ptrptr)
builder.store(zero, idxptr)
# 0-sized dimensions really indicate an empty array,
# but we have to catch that condition early to avoid
# a bug inside the iteration logic (see issue #846).
dim_size = shapes[dim]
dim_is_empty = builder.icmp(lc.ICMP_EQ, dim_size, zero)
with cgutils.if_unlikely(builder, dim_is_empty):
builder.store(cgutils.true_byte, exhausted)
self.indices = indices
self.pointers = pointers
self.exhausted = exhausted
def iternext_specific(self, context, builder, arrty, arr, result):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, ndim)
indices = self.indices
pointers = self.pointers
zero = context.get_constant(types.intp, 0)
bbend = builder.append_basic_block("end")
# Catch already computed iterator exhaustion
is_exhausted = cgutils.as_bool_bit(
builder, builder.load(self.exhausted)
)
with cgutils.if_unlikely(builder, is_exhausted):
result.set_valid(False)
builder.branch(bbend)
result.set_valid(True)
# Current pointer inside last dimension
last_ptr = cgutils.gep_inbounds(builder, pointers, ndim - 1)
ptr = builder.load(last_ptr)
value = load_item(context, builder, arrty, ptr)
if kind == "flat":
result.yield_(value)
else:
# ndenumerate() => yield (indices, value)
idxvals = [
builder.load(cgutils.gep_inbounds(builder, indices, dim))
for dim in range(ndim)
]
idxtuple = cgutils.pack_array(builder, idxvals)
result.yield_(
cgutils.make_anonymous_struct(builder, [idxtuple, value])
)
# Update indices and pointers by walking from inner
# dimension to outer.
for dim in reversed(range(ndim)):
idxptr = cgutils.gep_inbounds(builder, indices, dim)
idx = cgutils.increment_index(builder, builder.load(idxptr))
count = shapes[dim]
stride = strides[dim]
in_bounds = builder.icmp(lc.ICMP_SLT, idx, count)
with cgutils.if_likely(builder, in_bounds):
# Index is valid => pointer can simply be incremented.
builder.store(idx, idxptr)
ptrptr = cgutils.gep_inbounds(builder, pointers, dim)
ptr = builder.load(ptrptr)
ptr = cgutils.pointer_add(builder, ptr, stride)
builder.store(ptr, ptrptr)
# Reset pointers in inner dimensions
for inner_dim in range(dim + 1, ndim):
ptrptr = cgutils.gep_inbounds(builder, pointers, inner_dim)
builder.store(ptr, ptrptr)
builder.branch(bbend)
# Reset index and continue with next dimension
builder.store(zero, idxptr)
# End of array
builder.store(cgutils.true_byte, self.exhausted)
builder.branch(bbend)
builder.position_at_end(bbend)
def _ptr_for_index(self, context, builder, arrty, arr, index):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, count=ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, count=ndim)
# First convert the flattened index into a regular n-dim index
indices = []
for dim in reversed(range(ndim)):
indices.append(builder.urem(index, shapes[dim]))
index = builder.udiv(index, shapes[dim])
indices.reverse()
ptr = cgutils.get_item_pointer2(
builder, arr.data, shapes, strides, arrty.layout, indices
)
return ptr
def getitem(self, context, builder, arrty, arr, index):
ptr = self._ptr_for_index(context, builder, arrty, arr, index)
return load_item(context, builder, arrty, ptr)
def setitem(self, context, builder, arrty, arr, index, value):
ptr = self._ptr_for_index(context, builder, arrty, arr, index)
store_item(context, builder, arrty, value, ptr)
return FlatIter
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _ptr_for_index(self, context, builder, arrty, arr, index):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, count=ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, count=ndim)
# First convert the flattened index into a regular n-dim index
indices = []
for dim in reversed(range(ndim)):
indices.append(builder.urem(index, shapes[dim]))
index = builder.udiv(index, shapes[dim])
indices.reverse()
ptr = cgutils.get_item_pointer2(
context, builder, arr.data, shapes, strides, arrty.layout, indices
)
return ptr
|
def _ptr_for_index(self, context, builder, arrty, arr, index):
ndim = arrty.ndim
shapes = cgutils.unpack_tuple(builder, arr.shape, count=ndim)
strides = cgutils.unpack_tuple(builder, arr.strides, count=ndim)
# First convert the flattened index into a regular n-dim index
indices = []
for dim in reversed(range(ndim)):
indices.append(builder.urem(index, shapes[dim]))
index = builder.udiv(index, shapes[dim])
indices.reverse()
ptr = cgutils.get_item_pointer2(
builder, arr.data, shapes, strides, arrty.layout, indices
)
return ptr
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _arange_dtype(*args):
bounds = [a for a in args if not isinstance(a, types.NoneType)]
if any(isinstance(a, types.Complex) for a in bounds):
dtype = types.complex128
elif any(isinstance(a, types.Float) for a in bounds):
dtype = types.float64
else:
# numerous attempts were made at guessing this type from the NumPy
# source but it turns out on running `np.arange(10).dtype` on pretty
# much all platform and python combinations that it matched np.int?!
# Windows 64 is broken by default here because Numba (as of 0.47) does
# not differentiate between Python and NumPy integers, so a `typeof(1)`
# on w64 is `int64`, i.e. `intp`. This means an arange(<some int>) will
# be typed as arange(int64) and the following will yield int64 opposed
# to int32. Example: without a load of analysis to work out of the args
# were wrapped in NumPy int*() calls it's not possible to detect the
# difference between `np.arange(10)` and `np.arange(np.int64(10)`.
NPY_TY = getattr(types, "int%s" % (8 * np.dtype(np.int).itemsize))
dtype = max(
bounds
+ [
NPY_TY,
]
)
return dtype
|
def _arange_dtype(*args):
bounds = [a for a in args if not isinstance(a, types.NoneType)]
if any(isinstance(a, types.Complex) for a in bounds):
dtype = types.complex128
elif any(isinstance(a, types.Float) for a in bounds):
dtype = types.float64
else:
# It's not possible for the dtype to replicate NumPy as integer literals
# are intp size in Numba but np.dtype(int) (i.e. intc) in NumPy. The
# NumPy logic is to basically do max(np.long, *[type(x) for x in args]).
# On windows 64, in NumPy, that would mean:
# * np.arange(1, 10) -> max(np.long, np.intc, np.intc) -> int32
# but in Numba:
# * np.arange(1, 10) -> max(np.long, np.intp, np.intp) -> int64
#
# It's therefore not possible to replicate the case where integer
# literals are supplied, however best effort is made to correctly handle
# cases like:
# * np.arange(np.int8(10)) -> max(np.long, np.int8) -> np.long
#
# Alg ref:
# https://github.com/numpy/numpy/blob/maintenance/1.17.x/numpy/core/src/multiarray/ctors.c#L3376-L3377 # noqa: E501
#
# Also not Py2.7 on 32 bit linux as a 32bit np.long where as Py3 has a
# 64bit, numba is not replicating this!
dtype = max(
bounds
+ [
types.long_,
]
)
return dtype
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def numpy_linspace_3(context, builder, sig, args):
dtype = as_dtype(sig.return_type.dtype)
def linspace(start, stop, num):
arr = np.empty(num, dtype)
if num == 0:
return arr
div = num - 1
delta = stop - start
arr[0] = start
for i in range(1, num):
arr[i] = start + delta * (i / div)
return arr
res = context.compile_internal(builder, linspace, sig, args)
return impl_ret_new_ref(context, builder, sig.return_type, res)
|
def numpy_linspace_3(context, builder, sig, args):
dtype = as_dtype(sig.return_type.dtype)
def linspace(start, stop, num):
arr = np.empty(num, dtype)
div = num - 1
delta = stop - start
arr[0] = start
for i in range(1, num):
arr[i] = start + delta * (i / div)
return arr
res = context.compile_internal(builder, linspace, sig, args)
return impl_ret_new_ref(context, builder, sig.return_type, res)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def linspace(start, stop, num):
arr = np.empty(num, dtype)
if num == 0:
return arr
div = num - 1
delta = stop - start
arr[0] = start
for i in range(1, num):
arr[i] = start + delta * (i / div)
return arr
|
def linspace(start, stop, num):
arr = np.empty(num, dtype)
div = num - 1
delta = stop - start
arr[0] = start
for i in range(1, num):
arr[i] = start + delta * (i / div)
return arr
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _array_copy(context, builder, sig, args):
"""
Array copy.
"""
arytype = sig.args[0]
ary = make_array(arytype)(context, builder, value=args[0])
shapes = cgutils.unpack_tuple(builder, ary.shape)
rettype = sig.return_type
ret = _empty_nd_impl(context, builder, rettype, shapes)
src_data = ary.data
dest_data = ret.data
assert rettype.layout in "CF"
if arytype.layout == rettype.layout:
# Fast path: memcpy
cgutils.raw_memcpy(
builder, dest_data, src_data, ary.nitems, ary.itemsize, align=1
)
else:
src_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_strides = cgutils.unpack_tuple(builder, ret.strides)
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
context, builder, src_data, shapes, src_strides, arytype.layout, indices
)
dest_ptr = cgutils.get_item_pointer2(
context,
builder,
dest_data,
shapes,
dest_strides,
rettype.layout,
indices,
)
builder.store(builder.load(src_ptr), dest_ptr)
return impl_ret_new_ref(context, builder, sig.return_type, ret._getvalue())
|
def _array_copy(context, builder, sig, args):
"""
Array copy.
"""
arytype = sig.args[0]
ary = make_array(arytype)(context, builder, value=args[0])
shapes = cgutils.unpack_tuple(builder, ary.shape)
rettype = sig.return_type
ret = _empty_nd_impl(context, builder, rettype, shapes)
src_data = ary.data
dest_data = ret.data
assert rettype.layout in "CF"
if arytype.layout == rettype.layout:
# Fast path: memcpy
cgutils.raw_memcpy(
builder, dest_data, src_data, ary.nitems, ary.itemsize, align=1
)
else:
src_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_strides = cgutils.unpack_tuple(builder, ret.strides)
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
builder, src_data, shapes, src_strides, arytype.layout, indices
)
dest_ptr = cgutils.get_item_pointer2(
builder, dest_data, shapes, dest_strides, rettype.layout, indices
)
builder.store(builder.load(src_ptr), dest_ptr)
return impl_ret_new_ref(context, builder, sig.return_type, ret._getvalue())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def array_astype(context, builder, sig, args):
arytype = sig.args[0]
ary = make_array(arytype)(context, builder, value=args[0])
shapes = cgutils.unpack_tuple(builder, ary.shape)
rettype = sig.return_type
ret = _empty_nd_impl(context, builder, rettype, shapes)
src_data = ary.data
dest_data = ret.data
src_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_strides = cgutils.unpack_tuple(builder, ret.strides)
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
context, builder, src_data, shapes, src_strides, arytype.layout, indices
)
dest_ptr = cgutils.get_item_pointer2(
context, builder, dest_data, shapes, dest_strides, rettype.layout, indices
)
item = load_item(context, builder, arytype, src_ptr)
item = context.cast(builder, item, arytype.dtype, rettype.dtype)
store_item(context, builder, rettype, item, dest_ptr)
return impl_ret_new_ref(context, builder, sig.return_type, ret._getvalue())
|
def array_astype(context, builder, sig, args):
arytype = sig.args[0]
ary = make_array(arytype)(context, builder, value=args[0])
shapes = cgutils.unpack_tuple(builder, ary.shape)
rettype = sig.return_type
ret = _empty_nd_impl(context, builder, rettype, shapes)
src_data = ary.data
dest_data = ret.data
src_strides = cgutils.unpack_tuple(builder, ary.strides)
dest_strides = cgutils.unpack_tuple(builder, ret.strides)
intp_t = context.get_value_type(types.intp)
with cgutils.loop_nest(builder, shapes, intp_t) as indices:
src_ptr = cgutils.get_item_pointer2(
builder, src_data, shapes, src_strides, arytype.layout, indices
)
dest_ptr = cgutils.get_item_pointer2(
builder, dest_data, shapes, dest_strides, rettype.layout, indices
)
item = load_item(context, builder, arytype, src_ptr)
item = context.cast(builder, item, arytype.dtype, rettype.dtype)
store_item(context, builder, rettype, item, dest_ptr)
return impl_ret_new_ref(context, builder, sig.return_type, ret._getvalue())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def assign_sequence_to_array(
context, builder, data, shapes, strides, arrty, seqty, seq
):
"""
Assign a nested sequence contents to an array. The shape must match
the sequence's structure.
"""
def assign_item(indices, valty, val):
ptr = cgutils.get_item_pointer2(
context,
builder,
data,
shapes,
strides,
arrty.layout,
indices,
wraparound=False,
)
val = context.cast(builder, val, valty, arrty.dtype)
store_item(context, builder, arrty, val, ptr)
def assign(seqty, seq, shapes, indices):
if len(shapes) == 0:
assert not isinstance(seqty, (types.Sequence, types.BaseTuple))
assign_item(indices, seqty, seq)
return
size = shapes[0]
if isinstance(seqty, types.Sequence):
getitem_impl = _get_borrowing_getitem(context, seqty)
with cgutils.for_range(builder, size) as loop:
innerty = seqty.dtype
inner = getitem_impl(builder, (seq, loop.index))
assign(innerty, inner, shapes[1:], indices + (loop.index,))
elif isinstance(seqty, types.BaseTuple):
for i in range(len(seqty)):
innerty = seqty[i]
inner = builder.extract_value(seq, i)
index = context.get_constant(types.intp, i)
assign(innerty, inner, shapes[1:], indices + (index,))
else:
assert 0, seqty
assign(seqty, seq, shapes, ())
|
def assign_sequence_to_array(
context, builder, data, shapes, strides, arrty, seqty, seq
):
"""
Assign a nested sequence contents to an array. The shape must match
the sequence's structure.
"""
def assign_item(indices, valty, val):
ptr = cgutils.get_item_pointer2(
builder, data, shapes, strides, arrty.layout, indices, wraparound=False
)
val = context.cast(builder, val, valty, arrty.dtype)
store_item(context, builder, arrty, val, ptr)
def assign(seqty, seq, shapes, indices):
if len(shapes) == 0:
assert not isinstance(seqty, (types.Sequence, types.BaseTuple))
assign_item(indices, seqty, seq)
return
size = shapes[0]
if isinstance(seqty, types.Sequence):
getitem_impl = _get_borrowing_getitem(context, seqty)
with cgutils.for_range(builder, size) as loop:
innerty = seqty.dtype
inner = getitem_impl(builder, (seq, loop.index))
assign(innerty, inner, shapes[1:], indices + (loop.index,))
elif isinstance(seqty, types.BaseTuple):
for i in range(len(seqty)):
innerty = seqty[i]
inner = builder.extract_value(seq, i)
index = context.get_constant(types.intp, i)
assign(innerty, inner, shapes[1:], indices + (index,))
else:
assert 0, seqty
assign(seqty, seq, shapes, ())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def assign_item(indices, valty, val):
ptr = cgutils.get_item_pointer2(
context, builder, data, shapes, strides, arrty.layout, indices, wraparound=False
)
val = context.cast(builder, val, valty, arrty.dtype)
store_item(context, builder, arrty, val, ptr)
|
def assign_item(indices, valty, val):
ptr = cgutils.get_item_pointer2(
builder, data, shapes, strides, arrty.layout, indices, wraparound=False
)
val = context.cast(builder, val, valty, arrty.dtype)
store_item(context, builder, arrty, val, ptr)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _do_concatenate(
context, builder, axis, arrtys, arrs, arr_shapes, arr_strides, retty, ret_shapes
):
"""
Concatenate arrays along the given axis.
"""
assert len(arrtys) == len(arrs) == len(arr_shapes) == len(arr_strides)
zero = cgutils.intp_t(0)
# Allocate return array
ret = _empty_nd_impl(context, builder, retty, ret_shapes)
ret_strides = cgutils.unpack_tuple(builder, ret.strides)
# Compute the offset by which to bump the destination pointer
# after copying each input array.
# Morally, we need to copy each input array at different start indices
# into the destination array; bumping the destination pointer
# is simply easier than offsetting all destination indices.
copy_offsets = []
for arr_sh in arr_shapes:
# offset = ret_strides[axis] * input_shape[axis]
offset = zero
for dim, (size, stride) in enumerate(zip(arr_sh, ret_strides)):
is_axis = builder.icmp_signed("==", axis.type(dim), axis)
addend = builder.mul(size, stride)
offset = builder.select(is_axis, builder.add(offset, addend), offset)
copy_offsets.append(offset)
# Copy input arrays into the return array
ret_data = ret.data
for arrty, arr, arr_sh, arr_st, offset in zip(
arrtys, arrs, arr_shapes, arr_strides, copy_offsets
):
arr_data = arr.data
# Do the copy loop
# Note the loop nesting is optimized for the destination layout
loop_nest = cgutils.loop_nest(
builder, arr_sh, cgutils.intp_t, order=retty.layout
)
with loop_nest as indices:
src_ptr = cgutils.get_item_pointer2(
context, builder, arr_data, arr_sh, arr_st, arrty.layout, indices
)
val = load_item(context, builder, arrty, src_ptr)
val = context.cast(builder, val, arrty.dtype, retty.dtype)
dest_ptr = cgutils.get_item_pointer2(
context,
builder,
ret_data,
ret_shapes,
ret_strides,
retty.layout,
indices,
)
store_item(context, builder, retty, val, dest_ptr)
# Bump destination pointer
ret_data = cgutils.pointer_add(builder, ret_data, offset)
return ret
|
def _do_concatenate(
context, builder, axis, arrtys, arrs, arr_shapes, arr_strides, retty, ret_shapes
):
"""
Concatenate arrays along the given axis.
"""
assert len(arrtys) == len(arrs) == len(arr_shapes) == len(arr_strides)
zero = cgutils.intp_t(0)
# Allocate return array
ret = _empty_nd_impl(context, builder, retty, ret_shapes)
ret_strides = cgutils.unpack_tuple(builder, ret.strides)
# Compute the offset by which to bump the destination pointer
# after copying each input array.
# Morally, we need to copy each input array at different start indices
# into the destination array; bumping the destination pointer
# is simply easier than offsetting all destination indices.
copy_offsets = []
for arr_sh in arr_shapes:
# offset = ret_strides[axis] * input_shape[axis]
offset = zero
for dim, (size, stride) in enumerate(zip(arr_sh, ret_strides)):
is_axis = builder.icmp_signed("==", axis.type(dim), axis)
addend = builder.mul(size, stride)
offset = builder.select(is_axis, builder.add(offset, addend), offset)
copy_offsets.append(offset)
# Copy input arrays into the return array
ret_data = ret.data
for arrty, arr, arr_sh, arr_st, offset in zip(
arrtys, arrs, arr_shapes, arr_strides, copy_offsets
):
arr_data = arr.data
# Do the copy loop
# Note the loop nesting is optimized for the destination layout
loop_nest = cgutils.loop_nest(
builder, arr_sh, cgutils.intp_t, order=retty.layout
)
with loop_nest as indices:
src_ptr = cgutils.get_item_pointer2(
builder, arr_data, arr_sh, arr_st, arrty.layout, indices
)
val = load_item(context, builder, arrty, src_ptr)
val = context.cast(builder, val, arrty.dtype, retty.dtype)
dest_ptr = cgutils.get_item_pointer2(
builder, ret_data, ret_shapes, ret_strides, retty.layout, indices
)
store_item(context, builder, retty, val, dest_ptr)
# Bump destination pointer
ret_data = cgutils.pointer_add(builder, ret_data, offset)
return ret
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __init__(self, typing_context):
_load_global_helpers()
self.address_size = utils.MACHINE_BITS
self.typing_context = typing_context
# A mapping of installed registries to their loaders
self._registries = {}
# Declarations loaded from registries and other sources
self._defns = defaultdict(OverloadSelector)
self._getattrs = defaultdict(OverloadSelector)
self._setattrs = defaultdict(OverloadSelector)
self._casts = OverloadSelector()
self._get_constants = OverloadSelector()
# Other declarations
self._generators = {}
self.special_ops = {}
self.cached_internal_func = {}
self._pid = None
self._codelib_stack = []
self._boundscheck = False
self.data_model_manager = datamodel.default_manager
# Initialize
self.init()
|
def __init__(self, typing_context):
_load_global_helpers()
self.address_size = utils.MACHINE_BITS
self.typing_context = typing_context
# A mapping of installed registries to their loaders
self._registries = {}
# Declarations loaded from registries and other sources
self._defns = defaultdict(OverloadSelector)
self._getattrs = defaultdict(OverloadSelector)
self._setattrs = defaultdict(OverloadSelector)
self._casts = OverloadSelector()
self._get_constants = OverloadSelector()
# Other declarations
self._generators = {}
self.special_ops = {}
self.cached_internal_func = {}
self._pid = None
self._codelib_stack = []
self.data_model_manager = datamodel.default_manager
# Initialize
self.init()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def refresh(self):
"""
Refresh context with new declarations from known registries.
Useful for third-party extensions.
"""
# Populate built-in registry
from . import (
arraymath,
enumimpl,
iterators,
linalg,
numbers,
optional,
polynomial,
rangeobj,
slicing,
tupleobj,
gdb_hook,
hashing,
heapq,
literal,
)
try:
from . import npdatetime
except NotImplementedError:
pass
self.install_registry(builtin_registry)
self.load_additional_registries()
# Also refresh typing context, since @overload declarations can
# affect it.
self.typing_context.refresh()
|
def refresh(self):
"""
Refresh context with new declarations from known registries.
Useful for third-party extensions.
"""
# Populate built-in registry
from . import (
arraymath,
enumimpl,
iterators,
linalg,
numbers,
optional,
polynomial,
rangeobj,
slicing,
tupleobj,
gdb_hook,
hashing,
heapq,
literal_dispatch,
)
try:
from . import npdatetime
except NotImplementedError:
pass
self.install_registry(builtin_registry)
self.load_additional_registries()
# Also refresh typing context, since @overload declarations can
# affect it.
self.typing_context.refresh()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def generic_compare(self, builder, key, argtypes, args):
"""
Compare the given LLVM values of the given Numba types using
the comparison *key* (e.g. '=='). The values are first cast to
a common safe conversion type.
"""
at, bt = argtypes
av, bv = args
ty = self.typing_context.unify_types(at, bt)
assert ty is not None
cav = self.cast(builder, av, at, ty)
cbv = self.cast(builder, bv, bt, ty)
fnty = self.typing_context.resolve_value_type(key)
# the sig is homogeneous in the unified casted type
cmpsig = fnty.get_call_type(self.typing_context, (ty, ty), {})
cmpfunc = self.get_function(fnty, cmpsig)
self.add_linking_libs(getattr(cmpfunc, "libs", ()))
return cmpfunc(builder, (cav, cbv))
|
def generic_compare(self, builder, key, argtypes, args):
"""
Compare the given LLVM values of the given Numba types using
the comparison *key* (e.g. '=='). The values are first cast to
a common safe conversion type.
"""
at, bt = argtypes
av, bv = args
ty = self.typing_context.unify_types(at, bt)
assert ty is not None
cav = self.cast(builder, av, at, ty)
cbv = self.cast(builder, bv, bt, ty)
fnty = self.typing_context.resolve_value_type(key)
cmpsig = fnty.get_call_type(self.typing_context, argtypes, {})
cmpfunc = self.get_function(fnty, cmpsig)
self.add_linking_libs(getattr(cmpfunc, "libs", ()))
return cmpfunc(builder, (cav, cbv))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def is_true(self, builder, typ, val):
"""
Return the truth value of a value of the given Numba type.
"""
fnty = self.typing_context.resolve_value_type(bool)
sig = fnty.get_call_type(self.typing_context, (typ,), {})
impl = self.get_function(fnty, sig)
return impl(builder, (val,))
|
def is_true(self, builder, typ, val):
"""
Return the truth value of a value of the given Numba type.
"""
impl = self.get_function(bool, typing.signature(types.boolean, typ))
return impl(builder, (val,))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __init__(self, imp, context, sig):
self._callable = _wrap_missing_loc(imp)
self._imp = self._callable()
self._context = context
self._sig = sig
|
def __init__(self, imp, context, sig):
self._imp = _wrap_missing_loc(imp)
self._context = context
self._sig = sig
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __repr__(self):
return "<wrapped %s>" % repr(self._callable)
|
def __repr__(self):
return "<wrapped %s>" % self._imp
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __call__(self):
"""Wrap function for missing ``loc`` keyword argument.
Otherwise, return the original *fn*.
"""
fn = self.func
if not _has_loc(fn):
def wrapper(*args, **kwargs):
kwargs.pop("loc") # drop unused loc
return fn(*args, **kwargs)
# Copy the following attributes from the wrapped.
# Following similar implementation as functools.wraps but
# ignore attributes if not available (i.e fix py2.7)
attrs = "__name__", "libs"
for attr in attrs:
try:
val = getattr(fn, attr)
except AttributeError:
pass
else:
setattr(wrapper, attr, val)
return wrapper
else:
return fn
|
def __call__(self, builder, args, loc=None):
res = self._imp(self._context, builder, self._sig, args, loc=loc)
self._context.add_linking_libs(getattr(self, "libs", ()))
return res
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def impl(a, b):
return not val
|
def impl(func, iterable):
for x in iterable:
if func(x):
yield x
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def return_user_exc(self, builder, exc, exc_args=None, loc=None, func_name=None):
try_info = getattr(builder, "_in_try_block", False)
self.set_static_user_exc(
builder, exc, exc_args=exc_args, loc=loc, func_name=func_name
)
trystatus = self.check_try_status(builder)
if try_info:
# This is a hack for old-style impl.
# We will branch directly to the exception handler.
builder.branch(try_info["target"])
else:
# Return from the current function
self._return_errcode_raw(builder, RETCODE_USEREXC)
|
def return_user_exc(self, builder, exc, exc_args=None, loc=None, func_name=None):
if exc is not None and not issubclass(exc, BaseException):
raise TypeError("exc should be None or exception class, got %r" % (exc,))
if exc_args is not None and not isinstance(exc_args, tuple):
raise TypeError("exc_args should be None or tuple, got %r" % (exc_args,))
# None is indicative of no args, set the exc_args to an empty tuple
# as PyObject_CallObject(exc, exc_args) requires the second argument to
# be a tuple (or nullptr, but doing this makes it consistent)
if exc_args is None:
exc_args = tuple()
pyapi = self.context.get_python_api(builder)
# Build excinfo struct
if loc is not None:
fname = loc._raw_function_name()
if fname is None:
# could be exec(<string>) or REPL, try func_name
fname = func_name
locinfo = (fname, loc.filename, loc.line)
if None in locinfo:
locinfo = None
else:
locinfo = None
exc = (exc, exc_args, locinfo)
struct_gv = pyapi.serialize_object(exc)
excptr = self._get_excinfo_argument(builder.function)
builder.store(struct_gv, excptr)
self._return_errcode_raw(builder, RETCODE_USEREXC)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def return_status_propagate(self, builder, status):
trystatus = self.check_try_status(builder)
excptr = self._get_excinfo_argument(builder.function)
builder.store(status.excinfoptr, excptr)
with builder.if_then(builder.not_(trystatus.in_try)):
self._return_errcode_raw(builder, status.code)
|
def return_status_propagate(self, builder, status):
excptr = self._get_excinfo_argument(builder.function)
builder.store(status.excinfoptr, excptr)
self._return_errcode_raw(builder, status.code)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def dump(header, body):
if config.HIGHLIGHT_DUMPS:
try:
import pygments
except ImportError:
msg = "Please install pygments to see highlighted dumps"
raise ValueError(msg)
else:
from pygments import highlight
from pygments.lexers import GasLexer as lexer
from pygments.formatters import Terminal256Formatter
def printer(arg):
print(
highlight(
arg, lexer(), Terminal256Formatter(style="solarized-light")
)
)
else:
printer = print
print("=" * 80)
print(header.center(80, "-"))
printer(body)
print("=" * 80)
|
def dump(header, body):
print(header.center(80, "-"))
print(body)
print("=" * 80)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _check_llvm_bugs(self):
"""
Guard against some well-known LLVM bug(s).
"""
# Check the locale bug at https://github.com/numba/numba/issues/1569
# Note we can't cache the result as locale settings can change
# across a process's lifetime. Also, for this same reason,
# the check here is a mere heuristic (there may be a race condition
# between now and actually compiling IR).
ir = """
define double @func()
{
ret double 1.23e+01
}
"""
mod = ll.parse_assembly(ir)
ir_out = str(mod)
if "12.3" in ir_out or "1.23" in ir_out:
# Everything ok
return
if "1.0" in ir_out:
loc = locale.getlocale()
raise RuntimeError(
"LLVM will produce incorrect floating-point code "
"in the current locale %s.\nPlease read "
"http://numba.pydata.org/numba-doc/latest/user/faq.html#llvm-locale-bug "
"for more information." % (loc,)
)
raise AssertionError("Unexpected IR:\n%s\n" % (ir_out,))
|
def _check_llvm_bugs(self):
"""
Guard against some well-known LLVM bug(s).
"""
# Check the locale bug at https://github.com/numba/numba/issues/1569
# Note we can't cache the result as locale settings can change
# accross a process's lifetime. Also, for this same reason,
# the check here is a mere heuristic (there may be a race condition
# between now and actually compiling IR).
ir = """
define double @func()
{
ret double 1.23e+01
}
"""
mod = ll.parse_assembly(ir)
ir_out = str(mod)
if "12.3" in ir_out or "1.23" in ir_out:
# Everything ok
return
if "1.0" in ir_out:
loc = locale.getlocale()
raise RuntimeError(
"LLVM will produce incorrect floating-point code "
"in the current locale %s.\nPlease read "
"http://numba.pydata.org/numba-doc/latest/user/faq.html#llvm-locale-bug "
"for more information." % (loc,)
)
raise AssertionError("Unexpected IR:\n%s\n" % (ir_out,))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def tuple_hash(val):
if _py38_or_later or isinstance(val, types.Sequence):
def impl(val):
return _tuple_hash(val)
return impl
else:
def impl(val):
hashed = _Py_hash_t(_tuple_hash_resolve(val))
return process_return(hashed)
return impl
|
def tuple_hash(val):
if isinstance(val, types.Sequence):
def impl(val):
return _tuple_hash(val)
return impl
else:
def impl(val):
hashed = _Py_hash_t(_tuple_hash_resolve(val))
return process_return(hashed)
return impl
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _load_effective_address(self, indices):
return cgutils.get_item_pointer2(
self.context,
self.builder,
data=self.data,
shape=self.shape,
strides=self.strides,
layout=self.layout,
inds=indices,
)
|
def _load_effective_address(self, indices):
return cgutils.get_item_pointer2(
self.builder,
data=self.data,
shape=self.shape,
strides=self.strides,
layout=self.layout,
inds=indices,
)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def set_flags(self, flags):
"""
Provide default flags setting logic.
Subclass can override.
"""
kws = self.values.copy()
if kws.pop("nopython", False) == False:
flags.set("enable_pyobject")
if kws.pop("forceobj", False):
flags.set("force_pyobject")
if kws.pop("looplift", True):
flags.set("enable_looplift")
if kws.pop("boundscheck", False):
flags.set("boundscheck")
if kws.pop("_nrt", True):
flags.set("nrt")
if kws.pop("debug", config.DEBUGINFO_DEFAULT):
flags.set("debuginfo")
flags.set("boundscheck")
if kws.pop("nogil", False):
flags.set("release_gil")
if kws.pop("no_rewrites", False):
flags.set("no_rewrites")
if kws.pop("no_cpython_wrapper", False):
flags.set("no_cpython_wrapper")
if "parallel" in kws:
flags.set("auto_parallel", kws.pop("parallel"))
if "fastmath" in kws:
flags.set("fastmath", kws.pop("fastmath"))
if "error_model" in kws:
flags.set("error_model", kws.pop("error_model"))
if "inline" in kws:
flags.set("inline", kws.pop("inline"))
flags.set("enable_pyobject_looplift")
if kws:
# Unread options?
raise NameError("Unrecognized options: %s" % kws.keys())
|
def set_flags(self, flags):
"""
Provide default flags setting logic.
Subclass can override.
"""
kws = self.values.copy()
if kws.pop("nopython", False) == False:
flags.set("enable_pyobject")
if kws.pop("forceobj", False):
flags.set("force_pyobject")
if kws.pop("looplift", True):
flags.set("enable_looplift")
if kws.pop("boundcheck", False):
flags.set("boundcheck")
if kws.pop("_nrt", True):
flags.set("nrt")
if kws.pop("debug", config.DEBUGINFO_DEFAULT):
flags.set("debuginfo")
flags.set("boundcheck")
if kws.pop("nogil", False):
flags.set("release_gil")
if kws.pop("no_rewrites", False):
flags.set("no_rewrites")
if kws.pop("no_cpython_wrapper", False):
flags.set("no_cpython_wrapper")
if "parallel" in kws:
flags.set("auto_parallel", kws.pop("parallel"))
if "fastmath" in kws:
flags.set("fastmath", kws.pop("fastmath"))
if "error_model" in kws:
flags.set("error_model", kws.pop("error_model"))
if "inline" in kws:
flags.set("inline", kws.pop("inline"))
flags.set("enable_pyobject_looplift")
if kws:
# Unread options?
raise NameError("Unrecognized options: %s" % kws.keys())
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def make_quicksort_impl(wrap, lt=None, is_argsort=False, is_list=False):
intp = types.intp
zero = intp(0)
# Two subroutines to make the core algorithm generic wrt. argsort
# or normal sorting. Note the genericity may make basic sort()
# slightly slower (~5%)
if is_argsort:
if is_list:
@wrap
def make_res(A):
return [x for x in range(len(A))]
else:
@wrap
def make_res(A):
return np.arange(A.size)
@wrap
def GET(A, idx_or_val):
return A[idx_or_val]
else:
@wrap
def make_res(A):
return A
@wrap
def GET(A, idx_or_val):
return idx_or_val
def default_lt(a, b):
"""
Trivial comparison function between two keys.
"""
return a < b
LT = wrap(lt if lt is not None else default_lt)
@wrap
def insertion_sort(A, R, low, high):
"""
Insertion sort A[low:high + 1]. Note the inclusive bounds.
"""
assert low >= 0
if high <= low:
return
for i in range(low + 1, high + 1):
k = R[i]
v = GET(A, k)
# Insert v into A[low:i]
j = i
while j > low and LT(v, GET(A, R[j - 1])):
# Make place for moving A[i] downwards
R[j] = R[j - 1]
j -= 1
R[j] = k
@wrap
def partition(A, R, low, high):
"""
Partition A[low:high + 1] around a chosen pivot. The pivot's index
is returned.
"""
assert low >= 0
assert high > low
mid = (low + high) >> 1
# NOTE: the pattern of swaps below for the pivot choice and the
# partitioning gives good results (i.e. regular O(n log n))
# on sorted, reverse-sorted, and uniform arrays. Subtle changes
# risk breaking this property.
# median of three {low, middle, high}
if LT(GET(A, R[mid]), GET(A, R[low])):
R[low], R[mid] = R[mid], R[low]
if LT(GET(A, R[high]), GET(A, R[mid])):
R[high], R[mid] = R[mid], R[high]
if LT(GET(A, R[mid]), GET(A, R[low])):
R[low], R[mid] = R[mid], R[low]
pivot = GET(A, R[mid])
# Temporarily stash the pivot at the end
R[high], R[mid] = R[mid], R[high]
i = low
j = high - 1
while True:
while i < high and LT(GET(A, R[i]), pivot):
i += 1
while j >= low and LT(pivot, GET(A, R[j])):
j -= 1
if i >= j:
break
R[i], R[j] = R[j], R[i]
i += 1
j -= 1
# Put the pivot back in its final place (all items before `i`
# are smaller than the pivot, all items at/after `i` are larger)
R[i], R[high] = R[high], R[i]
return i
@wrap
def partition3(A, low, high):
"""
Three-way partition [low, high) around a chosen pivot.
A tuple (lt, gt) is returned such that:
- all elements in [low, lt) are < pivot
- all elements in [lt, gt] are == pivot
- all elements in (gt, high] are > pivot
"""
mid = (low + high) >> 1
# median of three {low, middle, high}
if LT(A[mid], A[low]):
A[low], A[mid] = A[mid], A[low]
if LT(A[high], A[mid]):
A[high], A[mid] = A[mid], A[high]
if LT(A[mid], A[low]):
A[low], A[mid] = A[mid], A[low]
pivot = A[mid]
A[low], A[mid] = A[mid], A[low]
lt = low
gt = high
i = low + 1
while i <= gt:
if LT(A[i], pivot):
A[lt], A[i] = A[i], A[lt]
lt += 1
i += 1
elif LT(pivot, A[i]):
A[gt], A[i] = A[i], A[gt]
gt -= 1
else:
i += 1
return lt, gt
@wrap
def run_quicksort(A):
R = make_res(A)
if len(A) < 2:
return R
stack = [Partition(zero, zero)] * MAX_STACK
stack[0] = Partition(zero, len(A) - 1)
n = 1
while n > 0:
n -= 1
low, high = stack[n]
# Partition until it becomes more efficient to do an insertion sort
while high - low >= SMALL_QUICKSORT:
assert n < MAX_STACK
i = partition(A, R, low, high)
# Push largest partition on the stack
if high - i > i - low:
# Right is larger
if high > i:
stack[n] = Partition(i + 1, high)
n += 1
high = i - 1
else:
if i > low:
stack[n] = Partition(low, i - 1)
n += 1
low = i + 1
insertion_sort(A, R, low, high)
return R
# Unused quicksort implementation based on 3-way partitioning; the
# partitioning scheme turns out exhibiting bad behaviour on sorted arrays.
@wrap
def _run_quicksort(A):
stack = [Partition(zero, zero)] * 100
stack[0] = Partition(zero, len(A) - 1)
n = 1
while n > 0:
n -= 1
low, high = stack[n]
# Partition until it becomes more efficient to do an insertion sort
while high - low >= SMALL_QUICKSORT:
assert n < MAX_STACK
l, r = partition3(A, low, high)
# One trivial (empty) partition => iterate on the other
if r == high:
high = l - 1
elif l == low:
low = r + 1
# Push largest partition on the stack
elif high - r > l - low:
# Right is larger
stack[n] = Partition(r + 1, high)
n += 1
high = l - 1
else:
stack[n] = Partition(low, l - 1)
n += 1
low = r + 1
insertion_sort(A, low, high)
return QuicksortImplementation(
wrap, partition, partition3, insertion_sort, run_quicksort
)
|
def make_quicksort_impl(wrap, lt=None, is_argsort=False):
intp = types.intp
zero = intp(0)
# Two subroutines to make the core algorithm generic wrt. argsort
# or normal sorting. Note the genericity may make basic sort()
# slightly slower (~5%)
if is_argsort:
@wrap
def make_res(A):
return np.arange(A.size)
@wrap
def GET(A, idx_or_val):
return A[idx_or_val]
else:
@wrap
def make_res(A):
return A
@wrap
def GET(A, idx_or_val):
return idx_or_val
def default_lt(a, b):
"""
Trivial comparison function between two keys.
"""
return a < b
LT = wrap(lt if lt is not None else default_lt)
@wrap
def insertion_sort(A, R, low, high):
"""
Insertion sort A[low:high + 1]. Note the inclusive bounds.
"""
assert low >= 0
if high <= low:
return
for i in range(low + 1, high + 1):
k = R[i]
v = GET(A, k)
# Insert v into A[low:i]
j = i
while j > low and LT(v, GET(A, R[j - 1])):
# Make place for moving A[i] downwards
R[j] = R[j - 1]
j -= 1
R[j] = k
@wrap
def partition(A, R, low, high):
"""
Partition A[low:high + 1] around a chosen pivot. The pivot's index
is returned.
"""
assert low >= 0
assert high > low
mid = (low + high) >> 1
# NOTE: the pattern of swaps below for the pivot choice and the
# partitioning gives good results (i.e. regular O(n log n))
# on sorted, reverse-sorted, and uniform arrays. Subtle changes
# risk breaking this property.
# median of three {low, middle, high}
if LT(GET(A, R[mid]), GET(A, R[low])):
R[low], R[mid] = R[mid], R[low]
if LT(GET(A, R[high]), GET(A, R[mid])):
R[high], R[mid] = R[mid], R[high]
if LT(GET(A, R[mid]), GET(A, R[low])):
R[low], R[mid] = R[mid], R[low]
pivot = GET(A, R[mid])
# Temporarily stash the pivot at the end
R[high], R[mid] = R[mid], R[high]
i = low
j = high - 1
while True:
while i < high and LT(GET(A, R[i]), pivot):
i += 1
while j >= low and LT(pivot, GET(A, R[j])):
j -= 1
if i >= j:
break
R[i], R[j] = R[j], R[i]
i += 1
j -= 1
# Put the pivot back in its final place (all items before `i`
# are smaller than the pivot, all items at/after `i` are larger)
R[i], R[high] = R[high], R[i]
return i
@wrap
def partition3(A, low, high):
"""
Three-way partition [low, high) around a chosen pivot.
A tuple (lt, gt) is returned such that:
- all elements in [low, lt) are < pivot
- all elements in [lt, gt] are == pivot
- all elements in (gt, high] are > pivot
"""
mid = (low + high) >> 1
# median of three {low, middle, high}
if LT(A[mid], A[low]):
A[low], A[mid] = A[mid], A[low]
if LT(A[high], A[mid]):
A[high], A[mid] = A[mid], A[high]
if LT(A[mid], A[low]):
A[low], A[mid] = A[mid], A[low]
pivot = A[mid]
A[low], A[mid] = A[mid], A[low]
lt = low
gt = high
i = low + 1
while i <= gt:
if LT(A[i], pivot):
A[lt], A[i] = A[i], A[lt]
lt += 1
i += 1
elif LT(pivot, A[i]):
A[gt], A[i] = A[i], A[gt]
gt -= 1
else:
i += 1
return lt, gt
@wrap
def run_quicksort(A):
R = make_res(A)
if len(A) < 2:
return R
stack = [Partition(zero, zero)] * MAX_STACK
stack[0] = Partition(zero, len(A) - 1)
n = 1
while n > 0:
n -= 1
low, high = stack[n]
# Partition until it becomes more efficient to do an insertion sort
while high - low >= SMALL_QUICKSORT:
assert n < MAX_STACK
i = partition(A, R, low, high)
# Push largest partition on the stack
if high - i > i - low:
# Right is larger
if high > i:
stack[n] = Partition(i + 1, high)
n += 1
high = i - 1
else:
if i > low:
stack[n] = Partition(low, i - 1)
n += 1
low = i + 1
insertion_sort(A, R, low, high)
return R
# Unused quicksort implementation based on 3-way partitioning; the
# partitioning scheme turns out exhibiting bad behaviour on sorted arrays.
@wrap
def _run_quicksort(A):
stack = [Partition(zero, zero)] * 100
stack[0] = Partition(zero, len(A) - 1)
n = 1
while n > 0:
n -= 1
low, high = stack[n]
# Partition until it becomes more efficient to do an insertion sort
while high - low >= SMALL_QUICKSORT:
assert n < MAX_STACK
l, r = partition3(A, low, high)
# One trivial (empty) partition => iterate on the other
if r == high:
high = l - 1
elif l == low:
low = r + 1
# Push largest partition on the stack
elif high - r > l - low:
# Right is larger
stack[n] = Partition(r + 1, high)
n += 1
high = l - 1
else:
stack[n] = Partition(low, l - 1)
n += 1
low = r + 1
insertion_sort(A, low, high)
return QuicksortImplementation(
wrap, partition, partition3, insertion_sort, run_quicksort
)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def make_res(A):
return np.arange(A.size)
|
def make_res(A):
return A
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _fill_ufunc_db(ufunc_db):
# some of these imports would cause a problem of circular
# imports if done at global scope when importing the numba
# module.
from . import numbers, npyfuncs, mathimpl, cmathimpl
from numba import numpy_support
v = numpy_support.version
ufunc_db[np.negative] = {
"?->?": numbers.int_invert_impl,
"b->b": numbers.int_negate_impl,
"B->B": numbers.int_negate_impl,
"h->h": numbers.int_negate_impl,
"H->H": numbers.int_negate_impl,
"i->i": numbers.int_negate_impl,
"I->I": numbers.int_negate_impl,
"l->l": numbers.int_negate_impl,
"L->L": numbers.int_negate_impl,
"q->q": numbers.int_negate_impl,
"Q->Q": numbers.int_negate_impl,
"f->f": numbers.real_negate_impl,
"d->d": numbers.real_negate_impl,
"F->F": numbers.complex_negate_impl,
"D->D": numbers.complex_negate_impl,
}
ufunc_db[np.absolute] = {
"?->?": numbers.int_abs_impl,
"b->b": numbers.int_abs_impl,
"B->B": numbers.uint_abs_impl,
"h->h": numbers.int_abs_impl,
"H->H": numbers.uint_abs_impl,
"i->i": numbers.int_abs_impl,
"I->I": numbers.uint_abs_impl,
"l->l": numbers.int_abs_impl,
"L->L": numbers.uint_abs_impl,
"q->q": numbers.int_abs_impl,
"Q->Q": numbers.uint_abs_impl,
"f->f": numbers.real_abs_impl,
"d->d": numbers.real_abs_impl,
"F->f": numbers.complex_abs_impl,
"D->d": numbers.complex_abs_impl,
}
ufunc_db[np.sign] = {
"b->b": numbers.int_sign_impl,
"B->B": numbers.int_sign_impl,
"h->h": numbers.int_sign_impl,
"H->H": numbers.int_sign_impl,
"i->i": numbers.int_sign_impl,
"I->I": numbers.int_sign_impl,
"l->l": numbers.int_sign_impl,
"L->L": numbers.int_sign_impl,
"q->q": numbers.int_sign_impl,
"Q->Q": numbers.int_sign_impl,
"f->f": numbers.real_sign_impl,
"d->d": numbers.real_sign_impl,
"F->F": npyfuncs.np_complex_sign_impl,
"D->D": npyfuncs.np_complex_sign_impl,
}
ufunc_db[np.add] = {
"??->?": numbers.int_or_impl,
"bb->b": numbers.int_add_impl,
"BB->B": numbers.int_add_impl,
"hh->h": numbers.int_add_impl,
"HH->H": numbers.int_add_impl,
"ii->i": numbers.int_add_impl,
"II->I": numbers.int_add_impl,
"ll->l": numbers.int_add_impl,
"LL->L": numbers.int_add_impl,
"qq->q": numbers.int_add_impl,
"QQ->Q": numbers.int_add_impl,
"ff->f": numbers.real_add_impl,
"dd->d": numbers.real_add_impl,
"FF->F": numbers.complex_add_impl,
"DD->D": numbers.complex_add_impl,
}
ufunc_db[np.subtract] = {
"??->?": numbers.int_xor_impl,
"bb->b": numbers.int_sub_impl,
"BB->B": numbers.int_sub_impl,
"hh->h": numbers.int_sub_impl,
"HH->H": numbers.int_sub_impl,
"ii->i": numbers.int_sub_impl,
"II->I": numbers.int_sub_impl,
"ll->l": numbers.int_sub_impl,
"LL->L": numbers.int_sub_impl,
"qq->q": numbers.int_sub_impl,
"QQ->Q": numbers.int_sub_impl,
"ff->f": numbers.real_sub_impl,
"dd->d": numbers.real_sub_impl,
"FF->F": numbers.complex_sub_impl,
"DD->D": numbers.complex_sub_impl,
}
ufunc_db[np.multiply] = {
"??->?": numbers.int_and_impl,
"bb->b": numbers.int_mul_impl,
"BB->B": numbers.int_mul_impl,
"hh->h": numbers.int_mul_impl,
"HH->H": numbers.int_mul_impl,
"ii->i": numbers.int_mul_impl,
"II->I": numbers.int_mul_impl,
"ll->l": numbers.int_mul_impl,
"LL->L": numbers.int_mul_impl,
"qq->q": numbers.int_mul_impl,
"QQ->Q": numbers.int_mul_impl,
"ff->f": numbers.real_mul_impl,
"dd->d": numbers.real_mul_impl,
"FF->F": numbers.complex_mul_impl,
"DD->D": numbers.complex_mul_impl,
}
if np.divide != np.true_divide:
ufunc_db[np.divide] = {
"bb->b": npyfuncs.np_int_sdiv_impl,
"BB->B": npyfuncs.np_int_udiv_impl,
"hh->h": npyfuncs.np_int_sdiv_impl,
"HH->H": npyfuncs.np_int_udiv_impl,
"ii->i": npyfuncs.np_int_sdiv_impl,
"II->I": npyfuncs.np_int_udiv_impl,
"ll->l": npyfuncs.np_int_sdiv_impl,
"LL->L": npyfuncs.np_int_udiv_impl,
"qq->q": npyfuncs.np_int_sdiv_impl,
"QQ->Q": npyfuncs.np_int_udiv_impl,
"ff->f": npyfuncs.np_real_div_impl,
"dd->d": npyfuncs.np_real_div_impl,
"FF->F": npyfuncs.np_complex_div_impl,
"DD->D": npyfuncs.np_complex_div_impl,
}
ufunc_db[np.true_divide] = {
"bb->d": npyfuncs.np_int_truediv_impl,
"BB->d": npyfuncs.np_int_truediv_impl,
"hh->d": npyfuncs.np_int_truediv_impl,
"HH->d": npyfuncs.np_int_truediv_impl,
"ii->d": npyfuncs.np_int_truediv_impl,
"II->d": npyfuncs.np_int_truediv_impl,
"ll->d": npyfuncs.np_int_truediv_impl,
"LL->d": npyfuncs.np_int_truediv_impl,
"qq->d": npyfuncs.np_int_truediv_impl,
"QQ->d": npyfuncs.np_int_truediv_impl,
"ff->f": npyfuncs.np_real_div_impl,
"dd->d": npyfuncs.np_real_div_impl,
"FF->F": npyfuncs.np_complex_div_impl,
"DD->D": npyfuncs.np_complex_div_impl,
}
ufunc_db[np.floor_divide] = {
"bb->b": npyfuncs.np_int_sdiv_impl,
"BB->B": npyfuncs.np_int_udiv_impl,
"hh->h": npyfuncs.np_int_sdiv_impl,
"HH->H": npyfuncs.np_int_udiv_impl,
"ii->i": npyfuncs.np_int_sdiv_impl,
"II->I": npyfuncs.np_int_udiv_impl,
"ll->l": npyfuncs.np_int_sdiv_impl,
"LL->L": npyfuncs.np_int_udiv_impl,
"qq->q": npyfuncs.np_int_sdiv_impl,
"QQ->Q": npyfuncs.np_int_udiv_impl,
"ff->f": npyfuncs.np_real_floor_div_impl,
"dd->d": npyfuncs.np_real_floor_div_impl,
"FF->F": npyfuncs.np_complex_floor_div_impl,
"DD->D": npyfuncs.np_complex_floor_div_impl,
}
ufunc_db[np.remainder] = {
"bb->b": npyfuncs.np_int_srem_impl,
"BB->B": npyfuncs.np_int_urem_impl,
"hh->h": npyfuncs.np_int_srem_impl,
"HH->H": npyfuncs.np_int_urem_impl,
"ii->i": npyfuncs.np_int_srem_impl,
"II->I": npyfuncs.np_int_urem_impl,
"ll->l": npyfuncs.np_int_srem_impl,
"LL->L": npyfuncs.np_int_urem_impl,
"qq->q": npyfuncs.np_int_srem_impl,
"QQ->Q": npyfuncs.np_int_urem_impl,
"ff->f": npyfuncs.np_real_mod_impl,
"dd->d": npyfuncs.np_real_mod_impl,
}
ufunc_db[np.fmod] = {
"bb->b": npyfuncs.np_int_fmod_impl,
"BB->B": npyfuncs.np_int_fmod_impl,
"hh->h": npyfuncs.np_int_fmod_impl,
"HH->H": npyfuncs.np_int_fmod_impl,
"ii->i": npyfuncs.np_int_fmod_impl,
"II->I": npyfuncs.np_int_fmod_impl,
"ll->l": npyfuncs.np_int_fmod_impl,
"LL->L": npyfuncs.np_int_fmod_impl,
"qq->q": npyfuncs.np_int_fmod_impl,
"QQ->Q": npyfuncs.np_int_fmod_impl,
"ff->f": npyfuncs.np_real_fmod_impl,
"dd->d": npyfuncs.np_real_fmod_impl,
}
ufunc_db[np.logaddexp] = {
"ff->f": npyfuncs.np_real_logaddexp_impl,
"dd->d": npyfuncs.np_real_logaddexp_impl,
}
ufunc_db[np.logaddexp2] = {
"ff->f": npyfuncs.np_real_logaddexp2_impl,
"dd->d": npyfuncs.np_real_logaddexp2_impl,
}
ufunc_db[np.power] = {
"bb->b": numbers.int_power_impl,
"BB->B": numbers.int_power_impl,
"hh->h": numbers.int_power_impl,
"HH->H": numbers.int_power_impl,
"ii->i": numbers.int_power_impl,
"II->I": numbers.int_power_impl,
"ll->l": numbers.int_power_impl,
"LL->L": numbers.int_power_impl,
"qq->q": numbers.int_power_impl,
"QQ->Q": numbers.int_power_impl,
# XXX we would like to use `int_power_impl` for real ** integer
# as well (for better performance), but the current ufunc typing
# rules forbid that
"ff->f": numbers.real_power_impl,
"dd->d": numbers.real_power_impl,
"FF->F": npyfuncs.np_complex_power_impl,
"DD->D": npyfuncs.np_complex_power_impl,
}
if v >= (1, 15):
ufunc_db[np.gcd] = {
"bb->b": npyfuncs.np_gcd_impl,
"BB->B": npyfuncs.np_gcd_impl,
"hh->h": npyfuncs.np_gcd_impl,
"HH->H": npyfuncs.np_gcd_impl,
"ii->i": npyfuncs.np_gcd_impl,
"II->I": npyfuncs.np_gcd_impl,
"ll->l": npyfuncs.np_gcd_impl,
"LL->L": npyfuncs.np_gcd_impl,
"qq->q": npyfuncs.np_gcd_impl,
"QQ->Q": npyfuncs.np_gcd_impl,
}
ufunc_db[np.lcm] = {
"bb->b": npyfuncs.np_lcm_impl,
"BB->B": npyfuncs.np_lcm_impl,
"hh->h": npyfuncs.np_lcm_impl,
"HH->H": npyfuncs.np_lcm_impl,
"ii->i": npyfuncs.np_lcm_impl,
"II->I": npyfuncs.np_lcm_impl,
"ll->l": npyfuncs.np_lcm_impl,
"LL->L": npyfuncs.np_lcm_impl,
"qq->q": npyfuncs.np_lcm_impl,
"QQ->Q": npyfuncs.np_lcm_impl,
}
ufunc_db[np.rint] = {
"f->f": npyfuncs.np_real_rint_impl,
"d->d": npyfuncs.np_real_rint_impl,
"F->F": npyfuncs.np_complex_rint_impl,
"D->D": npyfuncs.np_complex_rint_impl,
}
ufunc_db[np.conjugate] = {
"b->b": numbers.real_conjugate_impl,
"B->B": numbers.real_conjugate_impl,
"h->h": numbers.real_conjugate_impl,
"H->H": numbers.real_conjugate_impl,
"i->i": numbers.real_conjugate_impl,
"I->I": numbers.real_conjugate_impl,
"l->l": numbers.real_conjugate_impl,
"L->L": numbers.real_conjugate_impl,
"q->q": numbers.real_conjugate_impl,
"Q->Q": numbers.real_conjugate_impl,
"f->f": numbers.real_conjugate_impl,
"d->d": numbers.real_conjugate_impl,
"F->F": numbers.complex_conjugate_impl,
"D->D": numbers.complex_conjugate_impl,
}
ufunc_db[np.exp] = {
"f->f": npyfuncs.np_real_exp_impl,
"d->d": npyfuncs.np_real_exp_impl,
"F->F": npyfuncs.np_complex_exp_impl,
"D->D": npyfuncs.np_complex_exp_impl,
}
ufunc_db[np.exp2] = {
"f->f": npyfuncs.np_real_exp2_impl,
"d->d": npyfuncs.np_real_exp2_impl,
"F->F": npyfuncs.np_complex_exp2_impl,
"D->D": npyfuncs.np_complex_exp2_impl,
}
ufunc_db[np.log] = {
"f->f": npyfuncs.np_real_log_impl,
"d->d": npyfuncs.np_real_log_impl,
"F->F": npyfuncs.np_complex_log_impl,
"D->D": npyfuncs.np_complex_log_impl,
}
ufunc_db[np.log2] = {
"f->f": npyfuncs.np_real_log2_impl,
"d->d": npyfuncs.np_real_log2_impl,
"F->F": npyfuncs.np_complex_log2_impl,
"D->D": npyfuncs.np_complex_log2_impl,
}
ufunc_db[np.log10] = {
"f->f": npyfuncs.np_real_log10_impl,
"d->d": npyfuncs.np_real_log10_impl,
"F->F": npyfuncs.np_complex_log10_impl,
"D->D": npyfuncs.np_complex_log10_impl,
}
ufunc_db[np.expm1] = {
"f->f": npyfuncs.np_real_expm1_impl,
"d->d": npyfuncs.np_real_expm1_impl,
"F->F": npyfuncs.np_complex_expm1_impl,
"D->D": npyfuncs.np_complex_expm1_impl,
}
ufunc_db[np.log1p] = {
"f->f": npyfuncs.np_real_log1p_impl,
"d->d": npyfuncs.np_real_log1p_impl,
"F->F": npyfuncs.np_complex_log1p_impl,
"D->D": npyfuncs.np_complex_log1p_impl,
}
ufunc_db[np.sqrt] = {
"f->f": npyfuncs.np_real_sqrt_impl,
"d->d": npyfuncs.np_real_sqrt_impl,
"F->F": npyfuncs.np_complex_sqrt_impl,
"D->D": npyfuncs.np_complex_sqrt_impl,
}
ufunc_db[np.square] = {
"b->b": npyfuncs.np_int_square_impl,
"B->B": npyfuncs.np_int_square_impl,
"h->h": npyfuncs.np_int_square_impl,
"H->H": npyfuncs.np_int_square_impl,
"i->i": npyfuncs.np_int_square_impl,
"I->I": npyfuncs.np_int_square_impl,
"l->l": npyfuncs.np_int_square_impl,
"L->L": npyfuncs.np_int_square_impl,
"q->q": npyfuncs.np_int_square_impl,
"Q->Q": npyfuncs.np_int_square_impl,
"f->f": npyfuncs.np_real_square_impl,
"d->d": npyfuncs.np_real_square_impl,
"F->F": npyfuncs.np_complex_square_impl,
"D->D": npyfuncs.np_complex_square_impl,
}
ufunc_db[np.reciprocal] = {
"b->b": npyfuncs.np_int_reciprocal_impl,
"B->B": npyfuncs.np_int_reciprocal_impl,
"h->h": npyfuncs.np_int_reciprocal_impl,
"H->H": npyfuncs.np_int_reciprocal_impl,
"i->i": npyfuncs.np_int_reciprocal_impl,
"I->I": npyfuncs.np_int_reciprocal_impl,
"l->l": npyfuncs.np_int_reciprocal_impl,
"L->L": npyfuncs.np_int_reciprocal_impl,
"q->q": npyfuncs.np_int_reciprocal_impl,
"Q->Q": npyfuncs.np_int_reciprocal_impl,
"f->f": npyfuncs.np_real_reciprocal_impl,
"d->d": npyfuncs.np_real_reciprocal_impl,
"F->F": npyfuncs.np_complex_reciprocal_impl,
"D->D": npyfuncs.np_complex_reciprocal_impl,
}
ufunc_db[np.sin] = {
"f->f": npyfuncs.np_real_sin_impl,
"d->d": npyfuncs.np_real_sin_impl,
"F->F": npyfuncs.np_complex_sin_impl,
"D->D": npyfuncs.np_complex_sin_impl,
}
ufunc_db[np.cos] = {
"f->f": npyfuncs.np_real_cos_impl,
"d->d": npyfuncs.np_real_cos_impl,
"F->F": npyfuncs.np_complex_cos_impl,
"D->D": npyfuncs.np_complex_cos_impl,
}
tan_impl = cmathimpl.tan_impl if v >= (1, 10) else npyfuncs.np_complex_tan_impl
ufunc_db[np.tan] = {
"f->f": npyfuncs.np_real_tan_impl,
"d->d": npyfuncs.np_real_tan_impl,
"F->F": tan_impl,
"D->D": tan_impl,
}
arcsin_impl = cmathimpl.asin_impl if v >= (1, 10) else npyfuncs.np_complex_asin_impl
ufunc_db[np.arcsin] = {
"f->f": npyfuncs.np_real_asin_impl,
"d->d": npyfuncs.np_real_asin_impl,
"F->F": arcsin_impl,
"D->D": arcsin_impl,
}
ufunc_db[np.arccos] = {
"f->f": npyfuncs.np_real_acos_impl,
"d->d": npyfuncs.np_real_acos_impl,
"F->F": cmathimpl.acos_impl,
"D->D": cmathimpl.acos_impl,
}
arctan_impl = cmathimpl.atan_impl if v >= (1, 10) else npyfuncs.np_complex_atan_impl
ufunc_db[np.arctan] = {
"f->f": npyfuncs.np_real_atan_impl,
"d->d": npyfuncs.np_real_atan_impl,
"F->F": arctan_impl,
"D->D": arctan_impl,
}
ufunc_db[np.arctan2] = {
"ff->f": npyfuncs.np_real_atan2_impl,
"dd->d": npyfuncs.np_real_atan2_impl,
}
ufunc_db[np.hypot] = {
"ff->f": npyfuncs.np_real_hypot_impl,
"dd->d": npyfuncs.np_real_hypot_impl,
}
ufunc_db[np.sinh] = {
"f->f": npyfuncs.np_real_sinh_impl,
"d->d": npyfuncs.np_real_sinh_impl,
"F->F": npyfuncs.np_complex_sinh_impl,
"D->D": npyfuncs.np_complex_sinh_impl,
}
ufunc_db[np.cosh] = {
"f->f": npyfuncs.np_real_cosh_impl,
"d->d": npyfuncs.np_real_cosh_impl,
"F->F": npyfuncs.np_complex_cosh_impl,
"D->D": npyfuncs.np_complex_cosh_impl,
}
ufunc_db[np.tanh] = {
"f->f": npyfuncs.np_real_tanh_impl,
"d->d": npyfuncs.np_real_tanh_impl,
"F->F": npyfuncs.np_complex_tanh_impl,
"D->D": npyfuncs.np_complex_tanh_impl,
}
arcsinh_impl = (
cmathimpl.asinh_impl if v >= (1, 10) else npyfuncs.np_complex_asinh_impl
)
ufunc_db[np.arcsinh] = {
"f->f": npyfuncs.np_real_asinh_impl,
"d->d": npyfuncs.np_real_asinh_impl,
"F->F": arcsinh_impl,
"D->D": arcsinh_impl,
}
ufunc_db[np.arccosh] = {
"f->f": npyfuncs.np_real_acosh_impl,
"d->d": npyfuncs.np_real_acosh_impl,
"F->F": npyfuncs.np_complex_acosh_impl,
"D->D": npyfuncs.np_complex_acosh_impl,
}
arctanh_impl = (
cmathimpl.atanh_impl if v >= (1, 10) else npyfuncs.np_complex_atanh_impl
)
ufunc_db[np.arctanh] = {
"f->f": npyfuncs.np_real_atanh_impl,
"d->d": npyfuncs.np_real_atanh_impl,
"F->F": arctanh_impl,
"D->D": arctanh_impl,
}
ufunc_db[np.deg2rad] = {
"f->f": mathimpl.radians_float_impl,
"d->d": mathimpl.radians_float_impl,
}
ufunc_db[np.radians] = ufunc_db[np.deg2rad]
ufunc_db[np.rad2deg] = {
"f->f": mathimpl.degrees_float_impl,
"d->d": mathimpl.degrees_float_impl,
}
ufunc_db[np.degrees] = ufunc_db[np.rad2deg]
ufunc_db[np.floor] = {
"f->f": npyfuncs.np_real_floor_impl,
"d->d": npyfuncs.np_real_floor_impl,
}
ufunc_db[np.ceil] = {
"f->f": npyfuncs.np_real_ceil_impl,
"d->d": npyfuncs.np_real_ceil_impl,
}
ufunc_db[np.trunc] = {
"f->f": npyfuncs.np_real_trunc_impl,
"d->d": npyfuncs.np_real_trunc_impl,
}
ufunc_db[np.fabs] = {
"f->f": npyfuncs.np_real_fabs_impl,
"d->d": npyfuncs.np_real_fabs_impl,
}
# logical ufuncs
ufunc_db[np.greater] = {
"??->?": numbers.int_ugt_impl,
"bb->?": numbers.int_sgt_impl,
"BB->?": numbers.int_ugt_impl,
"hh->?": numbers.int_sgt_impl,
"HH->?": numbers.int_ugt_impl,
"ii->?": numbers.int_sgt_impl,
"II->?": numbers.int_ugt_impl,
"ll->?": numbers.int_sgt_impl,
"LL->?": numbers.int_ugt_impl,
"qq->?": numbers.int_sgt_impl,
"QQ->?": numbers.int_ugt_impl,
"ff->?": numbers.real_gt_impl,
"dd->?": numbers.real_gt_impl,
"FF->?": npyfuncs.np_complex_gt_impl,
"DD->?": npyfuncs.np_complex_gt_impl,
}
ufunc_db[np.greater_equal] = {
"??->?": numbers.int_uge_impl,
"bb->?": numbers.int_sge_impl,
"BB->?": numbers.int_uge_impl,
"hh->?": numbers.int_sge_impl,
"HH->?": numbers.int_uge_impl,
"ii->?": numbers.int_sge_impl,
"II->?": numbers.int_uge_impl,
"ll->?": numbers.int_sge_impl,
"LL->?": numbers.int_uge_impl,
"qq->?": numbers.int_sge_impl,
"QQ->?": numbers.int_uge_impl,
"ff->?": numbers.real_ge_impl,
"dd->?": numbers.real_ge_impl,
"FF->?": npyfuncs.np_complex_ge_impl,
"DD->?": npyfuncs.np_complex_ge_impl,
}
ufunc_db[np.less] = {
"??->?": numbers.int_ult_impl,
"bb->?": numbers.int_slt_impl,
"BB->?": numbers.int_ult_impl,
"hh->?": numbers.int_slt_impl,
"HH->?": numbers.int_ult_impl,
"ii->?": numbers.int_slt_impl,
"II->?": numbers.int_ult_impl,
"ll->?": numbers.int_slt_impl,
"LL->?": numbers.int_ult_impl,
"qq->?": numbers.int_slt_impl,
"QQ->?": numbers.int_ult_impl,
"ff->?": numbers.real_lt_impl,
"dd->?": numbers.real_lt_impl,
"FF->?": npyfuncs.np_complex_lt_impl,
"DD->?": npyfuncs.np_complex_lt_impl,
}
ufunc_db[np.less_equal] = {
"??->?": numbers.int_ule_impl,
"bb->?": numbers.int_sle_impl,
"BB->?": numbers.int_ule_impl,
"hh->?": numbers.int_sle_impl,
"HH->?": numbers.int_ule_impl,
"ii->?": numbers.int_sle_impl,
"II->?": numbers.int_ule_impl,
"ll->?": numbers.int_sle_impl,
"LL->?": numbers.int_ule_impl,
"qq->?": numbers.int_sle_impl,
"QQ->?": numbers.int_ule_impl,
"ff->?": numbers.real_le_impl,
"dd->?": numbers.real_le_impl,
"FF->?": npyfuncs.np_complex_le_impl,
"DD->?": npyfuncs.np_complex_le_impl,
}
ufunc_db[np.not_equal] = {
"??->?": numbers.int_ne_impl,
"bb->?": numbers.int_ne_impl,
"BB->?": numbers.int_ne_impl,
"hh->?": numbers.int_ne_impl,
"HH->?": numbers.int_ne_impl,
"ii->?": numbers.int_ne_impl,
"II->?": numbers.int_ne_impl,
"ll->?": numbers.int_ne_impl,
"LL->?": numbers.int_ne_impl,
"qq->?": numbers.int_ne_impl,
"QQ->?": numbers.int_ne_impl,
"ff->?": numbers.real_ne_impl,
"dd->?": numbers.real_ne_impl,
"FF->?": npyfuncs.np_complex_ne_impl,
"DD->?": npyfuncs.np_complex_ne_impl,
}
ufunc_db[np.equal] = {
"??->?": numbers.int_eq_impl,
"bb->?": numbers.int_eq_impl,
"BB->?": numbers.int_eq_impl,
"hh->?": numbers.int_eq_impl,
"HH->?": numbers.int_eq_impl,
"ii->?": numbers.int_eq_impl,
"II->?": numbers.int_eq_impl,
"ll->?": numbers.int_eq_impl,
"LL->?": numbers.int_eq_impl,
"qq->?": numbers.int_eq_impl,
"QQ->?": numbers.int_eq_impl,
"ff->?": numbers.real_eq_impl,
"dd->?": numbers.real_eq_impl,
"FF->?": npyfuncs.np_complex_eq_impl,
"DD->?": npyfuncs.np_complex_eq_impl,
}
ufunc_db[np.logical_and] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->?": npyfuncs.np_logical_and_impl,
"BB->?": npyfuncs.np_logical_and_impl,
"hh->?": npyfuncs.np_logical_and_impl,
"HH->?": npyfuncs.np_logical_and_impl,
"ii->?": npyfuncs.np_logical_and_impl,
"II->?": npyfuncs.np_logical_and_impl,
"ll->?": npyfuncs.np_logical_and_impl,
"LL->?": npyfuncs.np_logical_and_impl,
"qq->?": npyfuncs.np_logical_and_impl,
"QQ->?": npyfuncs.np_logical_and_impl,
"ff->?": npyfuncs.np_logical_and_impl,
"dd->?": npyfuncs.np_logical_and_impl,
"FF->?": npyfuncs.np_complex_logical_and_impl,
"DD->?": npyfuncs.np_complex_logical_and_impl,
}
ufunc_db[np.logical_or] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->?": npyfuncs.np_logical_or_impl,
"BB->?": npyfuncs.np_logical_or_impl,
"hh->?": npyfuncs.np_logical_or_impl,
"HH->?": npyfuncs.np_logical_or_impl,
"ii->?": npyfuncs.np_logical_or_impl,
"II->?": npyfuncs.np_logical_or_impl,
"ll->?": npyfuncs.np_logical_or_impl,
"LL->?": npyfuncs.np_logical_or_impl,
"qq->?": npyfuncs.np_logical_or_impl,
"QQ->?": npyfuncs.np_logical_or_impl,
"ff->?": npyfuncs.np_logical_or_impl,
"dd->?": npyfuncs.np_logical_or_impl,
"FF->?": npyfuncs.np_complex_logical_or_impl,
"DD->?": npyfuncs.np_complex_logical_or_impl,
}
ufunc_db[np.logical_xor] = {
"??->?": npyfuncs.np_logical_xor_impl,
"bb->?": npyfuncs.np_logical_xor_impl,
"BB->?": npyfuncs.np_logical_xor_impl,
"hh->?": npyfuncs.np_logical_xor_impl,
"HH->?": npyfuncs.np_logical_xor_impl,
"ii->?": npyfuncs.np_logical_xor_impl,
"II->?": npyfuncs.np_logical_xor_impl,
"ll->?": npyfuncs.np_logical_xor_impl,
"LL->?": npyfuncs.np_logical_xor_impl,
"qq->?": npyfuncs.np_logical_xor_impl,
"QQ->?": npyfuncs.np_logical_xor_impl,
"ff->?": npyfuncs.np_logical_xor_impl,
"dd->?": npyfuncs.np_logical_xor_impl,
"FF->?": npyfuncs.np_complex_logical_xor_impl,
"DD->?": npyfuncs.np_complex_logical_xor_impl,
}
ufunc_db[np.logical_not] = {
"?->?": npyfuncs.np_logical_not_impl,
"b->?": npyfuncs.np_logical_not_impl,
"B->?": npyfuncs.np_logical_not_impl,
"h->?": npyfuncs.np_logical_not_impl,
"H->?": npyfuncs.np_logical_not_impl,
"i->?": npyfuncs.np_logical_not_impl,
"I->?": npyfuncs.np_logical_not_impl,
"l->?": npyfuncs.np_logical_not_impl,
"L->?": npyfuncs.np_logical_not_impl,
"q->?": npyfuncs.np_logical_not_impl,
"Q->?": npyfuncs.np_logical_not_impl,
"f->?": npyfuncs.np_logical_not_impl,
"d->?": npyfuncs.np_logical_not_impl,
"F->?": npyfuncs.np_complex_logical_not_impl,
"D->?": npyfuncs.np_complex_logical_not_impl,
}
ufunc_db[np.maximum] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->b": npyfuncs.np_int_smax_impl,
"BB->B": npyfuncs.np_int_umax_impl,
"hh->h": npyfuncs.np_int_smax_impl,
"HH->H": npyfuncs.np_int_umax_impl,
"ii->i": npyfuncs.np_int_smax_impl,
"II->I": npyfuncs.np_int_umax_impl,
"ll->l": npyfuncs.np_int_smax_impl,
"LL->L": npyfuncs.np_int_umax_impl,
"qq->q": npyfuncs.np_int_smax_impl,
"QQ->Q": npyfuncs.np_int_umax_impl,
"ff->f": npyfuncs.np_real_maximum_impl,
"dd->d": npyfuncs.np_real_maximum_impl,
"FF->F": npyfuncs.np_complex_maximum_impl,
"DD->D": npyfuncs.np_complex_maximum_impl,
}
ufunc_db[np.minimum] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->b": npyfuncs.np_int_smin_impl,
"BB->B": npyfuncs.np_int_umin_impl,
"hh->h": npyfuncs.np_int_smin_impl,
"HH->H": npyfuncs.np_int_umin_impl,
"ii->i": npyfuncs.np_int_smin_impl,
"II->I": npyfuncs.np_int_umin_impl,
"ll->l": npyfuncs.np_int_smin_impl,
"LL->L": npyfuncs.np_int_umin_impl,
"qq->q": npyfuncs.np_int_smin_impl,
"QQ->Q": npyfuncs.np_int_umin_impl,
"ff->f": npyfuncs.np_real_minimum_impl,
"dd->d": npyfuncs.np_real_minimum_impl,
"FF->F": npyfuncs.np_complex_minimum_impl,
"DD->D": npyfuncs.np_complex_minimum_impl,
}
ufunc_db[np.fmax] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->b": npyfuncs.np_int_smax_impl,
"BB->B": npyfuncs.np_int_umax_impl,
"hh->h": npyfuncs.np_int_smax_impl,
"HH->H": npyfuncs.np_int_umax_impl,
"ii->i": npyfuncs.np_int_smax_impl,
"II->I": npyfuncs.np_int_umax_impl,
"ll->l": npyfuncs.np_int_smax_impl,
"LL->L": npyfuncs.np_int_umax_impl,
"qq->q": npyfuncs.np_int_smax_impl,
"QQ->Q": npyfuncs.np_int_umax_impl,
"ff->f": npyfuncs.np_real_fmax_impl,
"dd->d": npyfuncs.np_real_fmax_impl,
"FF->F": npyfuncs.np_complex_fmax_impl,
"DD->D": npyfuncs.np_complex_fmax_impl,
}
ufunc_db[np.fmin] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->b": npyfuncs.np_int_smin_impl,
"BB->B": npyfuncs.np_int_umin_impl,
"hh->h": npyfuncs.np_int_smin_impl,
"HH->H": npyfuncs.np_int_umin_impl,
"ii->i": npyfuncs.np_int_smin_impl,
"II->I": npyfuncs.np_int_umin_impl,
"ll->l": npyfuncs.np_int_smin_impl,
"LL->L": npyfuncs.np_int_umin_impl,
"qq->q": npyfuncs.np_int_smin_impl,
"QQ->Q": npyfuncs.np_int_umin_impl,
"ff->f": npyfuncs.np_real_fmin_impl,
"dd->d": npyfuncs.np_real_fmin_impl,
"FF->F": npyfuncs.np_complex_fmin_impl,
"DD->D": npyfuncs.np_complex_fmin_impl,
}
# misc floating functions
ufunc_db[np.isnan] = {
"f->?": npyfuncs.np_real_isnan_impl,
"d->?": npyfuncs.np_real_isnan_impl,
"F->?": npyfuncs.np_complex_isnan_impl,
"D->?": npyfuncs.np_complex_isnan_impl,
# int8
"b->?": npyfuncs.np_int_isnan_impl,
"B->?": npyfuncs.np_int_isnan_impl,
# int16
"h->?": npyfuncs.np_int_isnan_impl,
"H->?": npyfuncs.np_int_isnan_impl,
# int32
"i->?": npyfuncs.np_int_isnan_impl,
"I->?": npyfuncs.np_int_isnan_impl,
# int64
"l->?": npyfuncs.np_int_isnan_impl,
"L->?": npyfuncs.np_int_isnan_impl,
# intp
"q->?": npyfuncs.np_int_isnan_impl,
"Q->?": npyfuncs.np_int_isnan_impl,
# boolean
"?->?": npyfuncs.np_int_isnan_impl,
}
ufunc_db[np.isinf] = {
"f->?": npyfuncs.np_real_isinf_impl,
"d->?": npyfuncs.np_real_isinf_impl,
"F->?": npyfuncs.np_complex_isinf_impl,
"D->?": npyfuncs.np_complex_isinf_impl,
# int8
"b->?": npyfuncs.np_int_isinf_impl,
"B->?": npyfuncs.np_int_isinf_impl,
# int16
"h->?": npyfuncs.np_int_isinf_impl,
"H->?": npyfuncs.np_int_isinf_impl,
# int32
"i->?": npyfuncs.np_int_isinf_impl,
"I->?": npyfuncs.np_int_isinf_impl,
# int64
"l->?": npyfuncs.np_int_isinf_impl,
"L->?": npyfuncs.np_int_isinf_impl,
# intp
"q->?": npyfuncs.np_int_isinf_impl,
"Q->?": npyfuncs.np_int_isinf_impl,
# boolean
"?->?": npyfuncs.np_int_isinf_impl,
}
ufunc_db[np.isfinite] = {
"f->?": npyfuncs.np_real_isfinite_impl,
"d->?": npyfuncs.np_real_isfinite_impl,
"F->?": npyfuncs.np_complex_isfinite_impl,
"D->?": npyfuncs.np_complex_isfinite_impl,
# int8
"b->?": npyfuncs.np_int_isfinite_impl,
"B->?": npyfuncs.np_int_isfinite_impl,
# int16
"h->?": npyfuncs.np_int_isfinite_impl,
"H->?": npyfuncs.np_int_isfinite_impl,
# int32
"i->?": npyfuncs.np_int_isfinite_impl,
"I->?": npyfuncs.np_int_isfinite_impl,
# int64
"l->?": npyfuncs.np_int_isfinite_impl,
"L->?": npyfuncs.np_int_isfinite_impl,
# intp
"q->?": npyfuncs.np_int_isfinite_impl,
"Q->?": npyfuncs.np_int_isfinite_impl,
# boolean
"?->?": npyfuncs.np_int_isfinite_impl,
# datetime & timedelta
"M->?": npyfuncs.np_datetime_isfinite_impl,
"m->?": npyfuncs.np_datetime_isfinite_impl,
}
ufunc_db[np.signbit] = {
"f->?": npyfuncs.np_real_signbit_impl,
"d->?": npyfuncs.np_real_signbit_impl,
}
ufunc_db[np.copysign] = {
"ff->f": npyfuncs.np_real_copysign_impl,
"dd->d": npyfuncs.np_real_copysign_impl,
}
ufunc_db[np.nextafter] = {
"ff->f": npyfuncs.np_real_nextafter_impl,
"dd->d": npyfuncs.np_real_nextafter_impl,
}
ufunc_db[np.spacing] = {
"f->f": npyfuncs.np_real_spacing_impl,
"d->d": npyfuncs.np_real_spacing_impl,
}
ufunc_db[np.ldexp] = {
"fi->f": npyfuncs.np_real_ldexp_impl,
"fl->f": npyfuncs.np_real_ldexp_impl,
"di->d": npyfuncs.np_real_ldexp_impl,
"dl->d": npyfuncs.np_real_ldexp_impl,
}
# bit twiddling functions
ufunc_db[np.bitwise_and] = {
"??->?": numbers.int_and_impl,
"bb->b": numbers.int_and_impl,
"BB->B": numbers.int_and_impl,
"hh->h": numbers.int_and_impl,
"HH->H": numbers.int_and_impl,
"ii->i": numbers.int_and_impl,
"II->I": numbers.int_and_impl,
"ll->l": numbers.int_and_impl,
"LL->L": numbers.int_and_impl,
"qq->q": numbers.int_and_impl,
"QQ->Q": numbers.int_and_impl,
}
ufunc_db[np.bitwise_or] = {
"??->?": numbers.int_or_impl,
"bb->b": numbers.int_or_impl,
"BB->B": numbers.int_or_impl,
"hh->h": numbers.int_or_impl,
"HH->H": numbers.int_or_impl,
"ii->i": numbers.int_or_impl,
"II->I": numbers.int_or_impl,
"ll->l": numbers.int_or_impl,
"LL->L": numbers.int_or_impl,
"qq->q": numbers.int_or_impl,
"QQ->Q": numbers.int_or_impl,
}
ufunc_db[np.bitwise_xor] = {
"??->?": numbers.int_xor_impl,
"bb->b": numbers.int_xor_impl,
"BB->B": numbers.int_xor_impl,
"hh->h": numbers.int_xor_impl,
"HH->H": numbers.int_xor_impl,
"ii->i": numbers.int_xor_impl,
"II->I": numbers.int_xor_impl,
"ll->l": numbers.int_xor_impl,
"LL->L": numbers.int_xor_impl,
"qq->q": numbers.int_xor_impl,
"QQ->Q": numbers.int_xor_impl,
}
ufunc_db[np.invert] = { # aka np.bitwise_not
"?->?": numbers.int_invert_impl,
"b->b": numbers.int_invert_impl,
"B->B": numbers.int_invert_impl,
"h->h": numbers.int_invert_impl,
"H->H": numbers.int_invert_impl,
"i->i": numbers.int_invert_impl,
"I->I": numbers.int_invert_impl,
"l->l": numbers.int_invert_impl,
"L->L": numbers.int_invert_impl,
"q->q": numbers.int_invert_impl,
"Q->Q": numbers.int_invert_impl,
}
ufunc_db[np.left_shift] = {
"bb->b": numbers.int_shl_impl,
"BB->B": numbers.int_shl_impl,
"hh->h": numbers.int_shl_impl,
"HH->H": numbers.int_shl_impl,
"ii->i": numbers.int_shl_impl,
"II->I": numbers.int_shl_impl,
"ll->l": numbers.int_shl_impl,
"LL->L": numbers.int_shl_impl,
"qq->q": numbers.int_shl_impl,
"QQ->Q": numbers.int_shl_impl,
}
ufunc_db[np.right_shift] = {
"bb->b": numbers.int_shr_impl,
"BB->B": numbers.int_shr_impl,
"hh->h": numbers.int_shr_impl,
"HH->H": numbers.int_shr_impl,
"ii->i": numbers.int_shr_impl,
"II->I": numbers.int_shr_impl,
"ll->l": numbers.int_shr_impl,
"LL->L": numbers.int_shr_impl,
"qq->q": numbers.int_shr_impl,
"QQ->Q": numbers.int_shr_impl,
}
# Inject datetime64 support
from . import npdatetime
ufunc_db[np.negative].update(
{
"m->m": npdatetime.timedelta_neg_impl,
}
)
ufunc_db[np.absolute].update(
{
"m->m": npdatetime.timedelta_abs_impl,
}
)
ufunc_db[np.sign].update(
{
"m->m": npdatetime.timedelta_sign_impl,
}
)
ufunc_db[np.add].update(
{
"mm->m": npdatetime.timedelta_add_impl,
"Mm->M": npdatetime.datetime_plus_timedelta,
"mM->M": npdatetime.timedelta_plus_datetime,
}
)
ufunc_db[np.subtract].update(
{
"mm->m": npdatetime.timedelta_sub_impl,
"Mm->M": npdatetime.datetime_minus_timedelta,
"MM->m": npdatetime.datetime_minus_datetime,
}
)
ufunc_db[np.multiply].update(
{
"mq->m": npdatetime.timedelta_times_number,
"md->m": npdatetime.timedelta_times_number,
"qm->m": npdatetime.number_times_timedelta,
"dm->m": npdatetime.number_times_timedelta,
}
)
if np.divide != np.true_divide:
ufunc_db[np.divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
"mm->d": npdatetime.timedelta_over_timedelta,
}
)
ufunc_db[np.true_divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
"mm->d": npdatetime.timedelta_over_timedelta,
}
)
ufunc_db[np.floor_divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
}
)
if numpy_support.version >= (1, 16):
ufunc_db[np.floor_divide].update(
{
"mm->q": npdatetime.timedelta_floor_div_timedelta,
}
)
ufunc_db[np.equal].update(
{
"MM->?": npdatetime.datetime_eq_datetime_impl,
"mm->?": npdatetime.timedelta_eq_timedelta_impl,
}
)
ufunc_db[np.not_equal].update(
{
"MM->?": npdatetime.datetime_ne_datetime_impl,
"mm->?": npdatetime.timedelta_ne_timedelta_impl,
}
)
ufunc_db[np.less].update(
{
"MM->?": npdatetime.datetime_lt_datetime_impl,
"mm->?": npdatetime.timedelta_lt_timedelta_impl,
}
)
ufunc_db[np.less_equal].update(
{
"MM->?": npdatetime.datetime_le_datetime_impl,
"mm->?": npdatetime.timedelta_le_timedelta_impl,
}
)
ufunc_db[np.greater].update(
{
"MM->?": npdatetime.datetime_gt_datetime_impl,
"mm->?": npdatetime.timedelta_gt_timedelta_impl,
}
)
ufunc_db[np.greater_equal].update(
{
"MM->?": npdatetime.datetime_ge_datetime_impl,
"mm->?": npdatetime.timedelta_ge_timedelta_impl,
}
)
ufunc_db[np.maximum].update(
{
"MM->M": npdatetime.datetime_max_impl,
"mm->m": npdatetime.timedelta_max_impl,
}
)
ufunc_db[np.minimum].update(
{
"MM->M": npdatetime.datetime_min_impl,
"mm->m": npdatetime.timedelta_min_impl,
}
)
# there is no difference for datetime/timedelta in maximum/fmax
# and minimum/fmin
ufunc_db[np.fmax].update(
{
"MM->M": npdatetime.datetime_max_impl,
"mm->m": npdatetime.timedelta_max_impl,
}
)
ufunc_db[np.fmin].update(
{
"MM->M": npdatetime.datetime_min_impl,
"mm->m": npdatetime.timedelta_min_impl,
}
)
if numpy_support.version >= (1, 16):
ufunc_db[np.remainder].update(
{
"mm->m": npdatetime.timedelta_mod_timedelta,
}
)
|
def _fill_ufunc_db(ufunc_db):
# some of these imports would cause a problem of circular
# imports if done at global scope when importing the numba
# module.
from . import numbers, npyfuncs, mathimpl, cmathimpl
from numba import numpy_support
v = numpy_support.version
ufunc_db[np.negative] = {
"?->?": numbers.int_invert_impl,
"b->b": numbers.int_negate_impl,
"B->B": numbers.int_negate_impl,
"h->h": numbers.int_negate_impl,
"H->H": numbers.int_negate_impl,
"i->i": numbers.int_negate_impl,
"I->I": numbers.int_negate_impl,
"l->l": numbers.int_negate_impl,
"L->L": numbers.int_negate_impl,
"q->q": numbers.int_negate_impl,
"Q->Q": numbers.int_negate_impl,
"f->f": numbers.real_negate_impl,
"d->d": numbers.real_negate_impl,
"F->F": numbers.complex_negate_impl,
"D->D": numbers.complex_negate_impl,
}
ufunc_db[np.absolute] = {
"?->?": numbers.int_abs_impl,
"b->b": numbers.int_abs_impl,
"B->B": numbers.uint_abs_impl,
"h->h": numbers.int_abs_impl,
"H->H": numbers.uint_abs_impl,
"i->i": numbers.int_abs_impl,
"I->I": numbers.uint_abs_impl,
"l->l": numbers.int_abs_impl,
"L->L": numbers.uint_abs_impl,
"q->q": numbers.int_abs_impl,
"Q->Q": numbers.uint_abs_impl,
"f->f": numbers.real_abs_impl,
"d->d": numbers.real_abs_impl,
"F->f": numbers.complex_abs_impl,
"D->d": numbers.complex_abs_impl,
}
ufunc_db[np.sign] = {
"b->b": numbers.int_sign_impl,
"B->B": numbers.int_sign_impl,
"h->h": numbers.int_sign_impl,
"H->H": numbers.int_sign_impl,
"i->i": numbers.int_sign_impl,
"I->I": numbers.int_sign_impl,
"l->l": numbers.int_sign_impl,
"L->L": numbers.int_sign_impl,
"q->q": numbers.int_sign_impl,
"Q->Q": numbers.int_sign_impl,
"f->f": numbers.real_sign_impl,
"d->d": numbers.real_sign_impl,
"F->F": npyfuncs.np_complex_sign_impl,
"D->D": npyfuncs.np_complex_sign_impl,
}
ufunc_db[np.add] = {
"??->?": numbers.int_or_impl,
"bb->b": numbers.int_add_impl,
"BB->B": numbers.int_add_impl,
"hh->h": numbers.int_add_impl,
"HH->H": numbers.int_add_impl,
"ii->i": numbers.int_add_impl,
"II->I": numbers.int_add_impl,
"ll->l": numbers.int_add_impl,
"LL->L": numbers.int_add_impl,
"qq->q": numbers.int_add_impl,
"QQ->Q": numbers.int_add_impl,
"ff->f": numbers.real_add_impl,
"dd->d": numbers.real_add_impl,
"FF->F": numbers.complex_add_impl,
"DD->D": numbers.complex_add_impl,
}
ufunc_db[np.subtract] = {
"??->?": numbers.int_xor_impl,
"bb->b": numbers.int_sub_impl,
"BB->B": numbers.int_sub_impl,
"hh->h": numbers.int_sub_impl,
"HH->H": numbers.int_sub_impl,
"ii->i": numbers.int_sub_impl,
"II->I": numbers.int_sub_impl,
"ll->l": numbers.int_sub_impl,
"LL->L": numbers.int_sub_impl,
"qq->q": numbers.int_sub_impl,
"QQ->Q": numbers.int_sub_impl,
"ff->f": numbers.real_sub_impl,
"dd->d": numbers.real_sub_impl,
"FF->F": numbers.complex_sub_impl,
"DD->D": numbers.complex_sub_impl,
}
ufunc_db[np.multiply] = {
"??->?": numbers.int_and_impl,
"bb->b": numbers.int_mul_impl,
"BB->B": numbers.int_mul_impl,
"hh->h": numbers.int_mul_impl,
"HH->H": numbers.int_mul_impl,
"ii->i": numbers.int_mul_impl,
"II->I": numbers.int_mul_impl,
"ll->l": numbers.int_mul_impl,
"LL->L": numbers.int_mul_impl,
"qq->q": numbers.int_mul_impl,
"QQ->Q": numbers.int_mul_impl,
"ff->f": numbers.real_mul_impl,
"dd->d": numbers.real_mul_impl,
"FF->F": numbers.complex_mul_impl,
"DD->D": numbers.complex_mul_impl,
}
if np.divide != np.true_divide:
ufunc_db[np.divide] = {
"bb->b": npyfuncs.np_int_sdiv_impl,
"BB->B": npyfuncs.np_int_udiv_impl,
"hh->h": npyfuncs.np_int_sdiv_impl,
"HH->H": npyfuncs.np_int_udiv_impl,
"ii->i": npyfuncs.np_int_sdiv_impl,
"II->I": npyfuncs.np_int_udiv_impl,
"ll->l": npyfuncs.np_int_sdiv_impl,
"LL->L": npyfuncs.np_int_udiv_impl,
"qq->q": npyfuncs.np_int_sdiv_impl,
"QQ->Q": npyfuncs.np_int_udiv_impl,
"ff->f": npyfuncs.np_real_div_impl,
"dd->d": npyfuncs.np_real_div_impl,
"FF->F": npyfuncs.np_complex_div_impl,
"DD->D": npyfuncs.np_complex_div_impl,
}
ufunc_db[np.true_divide] = {
"bb->d": npyfuncs.np_int_truediv_impl,
"BB->d": npyfuncs.np_int_truediv_impl,
"hh->d": npyfuncs.np_int_truediv_impl,
"HH->d": npyfuncs.np_int_truediv_impl,
"ii->d": npyfuncs.np_int_truediv_impl,
"II->d": npyfuncs.np_int_truediv_impl,
"ll->d": npyfuncs.np_int_truediv_impl,
"LL->d": npyfuncs.np_int_truediv_impl,
"qq->d": npyfuncs.np_int_truediv_impl,
"QQ->d": npyfuncs.np_int_truediv_impl,
"ff->f": npyfuncs.np_real_div_impl,
"dd->d": npyfuncs.np_real_div_impl,
"FF->F": npyfuncs.np_complex_div_impl,
"DD->D": npyfuncs.np_complex_div_impl,
}
ufunc_db[np.floor_divide] = {
"bb->b": npyfuncs.np_int_sdiv_impl,
"BB->B": npyfuncs.np_int_udiv_impl,
"hh->h": npyfuncs.np_int_sdiv_impl,
"HH->H": npyfuncs.np_int_udiv_impl,
"ii->i": npyfuncs.np_int_sdiv_impl,
"II->I": npyfuncs.np_int_udiv_impl,
"ll->l": npyfuncs.np_int_sdiv_impl,
"LL->L": npyfuncs.np_int_udiv_impl,
"qq->q": npyfuncs.np_int_sdiv_impl,
"QQ->Q": npyfuncs.np_int_udiv_impl,
"ff->f": npyfuncs.np_real_floor_div_impl,
"dd->d": npyfuncs.np_real_floor_div_impl,
"FF->F": npyfuncs.np_complex_floor_div_impl,
"DD->D": npyfuncs.np_complex_floor_div_impl,
}
ufunc_db[np.remainder] = {
"bb->b": npyfuncs.np_int_srem_impl,
"BB->B": npyfuncs.np_int_urem_impl,
"hh->h": npyfuncs.np_int_srem_impl,
"HH->H": npyfuncs.np_int_urem_impl,
"ii->i": npyfuncs.np_int_srem_impl,
"II->I": npyfuncs.np_int_urem_impl,
"ll->l": npyfuncs.np_int_srem_impl,
"LL->L": npyfuncs.np_int_urem_impl,
"qq->q": npyfuncs.np_int_srem_impl,
"QQ->Q": npyfuncs.np_int_urem_impl,
"ff->f": npyfuncs.np_real_mod_impl,
"dd->d": npyfuncs.np_real_mod_impl,
}
ufunc_db[np.fmod] = {
"bb->b": npyfuncs.np_int_fmod_impl,
"BB->B": npyfuncs.np_int_fmod_impl,
"hh->h": npyfuncs.np_int_fmod_impl,
"HH->H": npyfuncs.np_int_fmod_impl,
"ii->i": npyfuncs.np_int_fmod_impl,
"II->I": npyfuncs.np_int_fmod_impl,
"ll->l": npyfuncs.np_int_fmod_impl,
"LL->L": npyfuncs.np_int_fmod_impl,
"qq->q": npyfuncs.np_int_fmod_impl,
"QQ->Q": npyfuncs.np_int_fmod_impl,
"ff->f": npyfuncs.np_real_fmod_impl,
"dd->d": npyfuncs.np_real_fmod_impl,
}
ufunc_db[np.logaddexp] = {
"ff->f": npyfuncs.np_real_logaddexp_impl,
"dd->d": npyfuncs.np_real_logaddexp_impl,
}
ufunc_db[np.logaddexp2] = {
"ff->f": npyfuncs.np_real_logaddexp2_impl,
"dd->d": npyfuncs.np_real_logaddexp2_impl,
}
ufunc_db[np.power] = {
"bb->b": numbers.int_power_impl,
"BB->B": numbers.int_power_impl,
"hh->h": numbers.int_power_impl,
"HH->H": numbers.int_power_impl,
"ii->i": numbers.int_power_impl,
"II->I": numbers.int_power_impl,
"ll->l": numbers.int_power_impl,
"LL->L": numbers.int_power_impl,
"qq->q": numbers.int_power_impl,
"QQ->Q": numbers.int_power_impl,
# XXX we would like to use `int_power_impl` for real ** integer
# as well (for better performance), but the current ufunc typing
# rules forbid that
"ff->f": numbers.real_power_impl,
"dd->d": numbers.real_power_impl,
"FF->F": npyfuncs.np_complex_power_impl,
"DD->D": npyfuncs.np_complex_power_impl,
}
ufunc_db[np.rint] = {
"f->f": npyfuncs.np_real_rint_impl,
"d->d": npyfuncs.np_real_rint_impl,
"F->F": npyfuncs.np_complex_rint_impl,
"D->D": npyfuncs.np_complex_rint_impl,
}
ufunc_db[np.conjugate] = {
"b->b": numbers.real_conjugate_impl,
"B->B": numbers.real_conjugate_impl,
"h->h": numbers.real_conjugate_impl,
"H->H": numbers.real_conjugate_impl,
"i->i": numbers.real_conjugate_impl,
"I->I": numbers.real_conjugate_impl,
"l->l": numbers.real_conjugate_impl,
"L->L": numbers.real_conjugate_impl,
"q->q": numbers.real_conjugate_impl,
"Q->Q": numbers.real_conjugate_impl,
"f->f": numbers.real_conjugate_impl,
"d->d": numbers.real_conjugate_impl,
"F->F": numbers.complex_conjugate_impl,
"D->D": numbers.complex_conjugate_impl,
}
ufunc_db[np.exp] = {
"f->f": npyfuncs.np_real_exp_impl,
"d->d": npyfuncs.np_real_exp_impl,
"F->F": npyfuncs.np_complex_exp_impl,
"D->D": npyfuncs.np_complex_exp_impl,
}
ufunc_db[np.exp2] = {
"f->f": npyfuncs.np_real_exp2_impl,
"d->d": npyfuncs.np_real_exp2_impl,
"F->F": npyfuncs.np_complex_exp2_impl,
"D->D": npyfuncs.np_complex_exp2_impl,
}
ufunc_db[np.log] = {
"f->f": npyfuncs.np_real_log_impl,
"d->d": npyfuncs.np_real_log_impl,
"F->F": npyfuncs.np_complex_log_impl,
"D->D": npyfuncs.np_complex_log_impl,
}
ufunc_db[np.log2] = {
"f->f": npyfuncs.np_real_log2_impl,
"d->d": npyfuncs.np_real_log2_impl,
"F->F": npyfuncs.np_complex_log2_impl,
"D->D": npyfuncs.np_complex_log2_impl,
}
ufunc_db[np.log10] = {
"f->f": npyfuncs.np_real_log10_impl,
"d->d": npyfuncs.np_real_log10_impl,
"F->F": npyfuncs.np_complex_log10_impl,
"D->D": npyfuncs.np_complex_log10_impl,
}
ufunc_db[np.expm1] = {
"f->f": npyfuncs.np_real_expm1_impl,
"d->d": npyfuncs.np_real_expm1_impl,
"F->F": npyfuncs.np_complex_expm1_impl,
"D->D": npyfuncs.np_complex_expm1_impl,
}
ufunc_db[np.log1p] = {
"f->f": npyfuncs.np_real_log1p_impl,
"d->d": npyfuncs.np_real_log1p_impl,
"F->F": npyfuncs.np_complex_log1p_impl,
"D->D": npyfuncs.np_complex_log1p_impl,
}
ufunc_db[np.sqrt] = {
"f->f": npyfuncs.np_real_sqrt_impl,
"d->d": npyfuncs.np_real_sqrt_impl,
"F->F": npyfuncs.np_complex_sqrt_impl,
"D->D": npyfuncs.np_complex_sqrt_impl,
}
ufunc_db[np.square] = {
"b->b": npyfuncs.np_int_square_impl,
"B->B": npyfuncs.np_int_square_impl,
"h->h": npyfuncs.np_int_square_impl,
"H->H": npyfuncs.np_int_square_impl,
"i->i": npyfuncs.np_int_square_impl,
"I->I": npyfuncs.np_int_square_impl,
"l->l": npyfuncs.np_int_square_impl,
"L->L": npyfuncs.np_int_square_impl,
"q->q": npyfuncs.np_int_square_impl,
"Q->Q": npyfuncs.np_int_square_impl,
"f->f": npyfuncs.np_real_square_impl,
"d->d": npyfuncs.np_real_square_impl,
"F->F": npyfuncs.np_complex_square_impl,
"D->D": npyfuncs.np_complex_square_impl,
}
ufunc_db[np.reciprocal] = {
"b->b": npyfuncs.np_int_reciprocal_impl,
"B->B": npyfuncs.np_int_reciprocal_impl,
"h->h": npyfuncs.np_int_reciprocal_impl,
"H->H": npyfuncs.np_int_reciprocal_impl,
"i->i": npyfuncs.np_int_reciprocal_impl,
"I->I": npyfuncs.np_int_reciprocal_impl,
"l->l": npyfuncs.np_int_reciprocal_impl,
"L->L": npyfuncs.np_int_reciprocal_impl,
"q->q": npyfuncs.np_int_reciprocal_impl,
"Q->Q": npyfuncs.np_int_reciprocal_impl,
"f->f": npyfuncs.np_real_reciprocal_impl,
"d->d": npyfuncs.np_real_reciprocal_impl,
"F->F": npyfuncs.np_complex_reciprocal_impl,
"D->D": npyfuncs.np_complex_reciprocal_impl,
}
ufunc_db[np.sin] = {
"f->f": npyfuncs.np_real_sin_impl,
"d->d": npyfuncs.np_real_sin_impl,
"F->F": npyfuncs.np_complex_sin_impl,
"D->D": npyfuncs.np_complex_sin_impl,
}
ufunc_db[np.cos] = {
"f->f": npyfuncs.np_real_cos_impl,
"d->d": npyfuncs.np_real_cos_impl,
"F->F": npyfuncs.np_complex_cos_impl,
"D->D": npyfuncs.np_complex_cos_impl,
}
tan_impl = cmathimpl.tan_impl if v >= (1, 10) else npyfuncs.np_complex_tan_impl
ufunc_db[np.tan] = {
"f->f": npyfuncs.np_real_tan_impl,
"d->d": npyfuncs.np_real_tan_impl,
"F->F": tan_impl,
"D->D": tan_impl,
}
arcsin_impl = cmathimpl.asin_impl if v >= (1, 10) else npyfuncs.np_complex_asin_impl
ufunc_db[np.arcsin] = {
"f->f": npyfuncs.np_real_asin_impl,
"d->d": npyfuncs.np_real_asin_impl,
"F->F": arcsin_impl,
"D->D": arcsin_impl,
}
ufunc_db[np.arccos] = {
"f->f": npyfuncs.np_real_acos_impl,
"d->d": npyfuncs.np_real_acos_impl,
"F->F": cmathimpl.acos_impl,
"D->D": cmathimpl.acos_impl,
}
arctan_impl = cmathimpl.atan_impl if v >= (1, 10) else npyfuncs.np_complex_atan_impl
ufunc_db[np.arctan] = {
"f->f": npyfuncs.np_real_atan_impl,
"d->d": npyfuncs.np_real_atan_impl,
"F->F": arctan_impl,
"D->D": arctan_impl,
}
ufunc_db[np.arctan2] = {
"ff->f": npyfuncs.np_real_atan2_impl,
"dd->d": npyfuncs.np_real_atan2_impl,
}
ufunc_db[np.hypot] = {
"ff->f": npyfuncs.np_real_hypot_impl,
"dd->d": npyfuncs.np_real_hypot_impl,
}
ufunc_db[np.sinh] = {
"f->f": npyfuncs.np_real_sinh_impl,
"d->d": npyfuncs.np_real_sinh_impl,
"F->F": npyfuncs.np_complex_sinh_impl,
"D->D": npyfuncs.np_complex_sinh_impl,
}
ufunc_db[np.cosh] = {
"f->f": npyfuncs.np_real_cosh_impl,
"d->d": npyfuncs.np_real_cosh_impl,
"F->F": npyfuncs.np_complex_cosh_impl,
"D->D": npyfuncs.np_complex_cosh_impl,
}
ufunc_db[np.tanh] = {
"f->f": npyfuncs.np_real_tanh_impl,
"d->d": npyfuncs.np_real_tanh_impl,
"F->F": npyfuncs.np_complex_tanh_impl,
"D->D": npyfuncs.np_complex_tanh_impl,
}
arcsinh_impl = (
cmathimpl.asinh_impl if v >= (1, 10) else npyfuncs.np_complex_asinh_impl
)
ufunc_db[np.arcsinh] = {
"f->f": npyfuncs.np_real_asinh_impl,
"d->d": npyfuncs.np_real_asinh_impl,
"F->F": arcsinh_impl,
"D->D": arcsinh_impl,
}
ufunc_db[np.arccosh] = {
"f->f": npyfuncs.np_real_acosh_impl,
"d->d": npyfuncs.np_real_acosh_impl,
"F->F": npyfuncs.np_complex_acosh_impl,
"D->D": npyfuncs.np_complex_acosh_impl,
}
arctanh_impl = (
cmathimpl.atanh_impl if v >= (1, 10) else npyfuncs.np_complex_atanh_impl
)
ufunc_db[np.arctanh] = {
"f->f": npyfuncs.np_real_atanh_impl,
"d->d": npyfuncs.np_real_atanh_impl,
"F->F": arctanh_impl,
"D->D": arctanh_impl,
}
ufunc_db[np.deg2rad] = {
"f->f": mathimpl.radians_float_impl,
"d->d": mathimpl.radians_float_impl,
}
ufunc_db[np.radians] = ufunc_db[np.deg2rad]
ufunc_db[np.rad2deg] = {
"f->f": mathimpl.degrees_float_impl,
"d->d": mathimpl.degrees_float_impl,
}
ufunc_db[np.degrees] = ufunc_db[np.rad2deg]
ufunc_db[np.floor] = {
"f->f": npyfuncs.np_real_floor_impl,
"d->d": npyfuncs.np_real_floor_impl,
}
ufunc_db[np.ceil] = {
"f->f": npyfuncs.np_real_ceil_impl,
"d->d": npyfuncs.np_real_ceil_impl,
}
ufunc_db[np.trunc] = {
"f->f": npyfuncs.np_real_trunc_impl,
"d->d": npyfuncs.np_real_trunc_impl,
}
ufunc_db[np.fabs] = {
"f->f": npyfuncs.np_real_fabs_impl,
"d->d": npyfuncs.np_real_fabs_impl,
}
# logical ufuncs
ufunc_db[np.greater] = {
"??->?": numbers.int_ugt_impl,
"bb->?": numbers.int_sgt_impl,
"BB->?": numbers.int_ugt_impl,
"hh->?": numbers.int_sgt_impl,
"HH->?": numbers.int_ugt_impl,
"ii->?": numbers.int_sgt_impl,
"II->?": numbers.int_ugt_impl,
"ll->?": numbers.int_sgt_impl,
"LL->?": numbers.int_ugt_impl,
"qq->?": numbers.int_sgt_impl,
"QQ->?": numbers.int_ugt_impl,
"ff->?": numbers.real_gt_impl,
"dd->?": numbers.real_gt_impl,
"FF->?": npyfuncs.np_complex_gt_impl,
"DD->?": npyfuncs.np_complex_gt_impl,
}
ufunc_db[np.greater_equal] = {
"??->?": numbers.int_uge_impl,
"bb->?": numbers.int_sge_impl,
"BB->?": numbers.int_uge_impl,
"hh->?": numbers.int_sge_impl,
"HH->?": numbers.int_uge_impl,
"ii->?": numbers.int_sge_impl,
"II->?": numbers.int_uge_impl,
"ll->?": numbers.int_sge_impl,
"LL->?": numbers.int_uge_impl,
"qq->?": numbers.int_sge_impl,
"QQ->?": numbers.int_uge_impl,
"ff->?": numbers.real_ge_impl,
"dd->?": numbers.real_ge_impl,
"FF->?": npyfuncs.np_complex_ge_impl,
"DD->?": npyfuncs.np_complex_ge_impl,
}
ufunc_db[np.less] = {
"??->?": numbers.int_ult_impl,
"bb->?": numbers.int_slt_impl,
"BB->?": numbers.int_ult_impl,
"hh->?": numbers.int_slt_impl,
"HH->?": numbers.int_ult_impl,
"ii->?": numbers.int_slt_impl,
"II->?": numbers.int_ult_impl,
"ll->?": numbers.int_slt_impl,
"LL->?": numbers.int_ult_impl,
"qq->?": numbers.int_slt_impl,
"QQ->?": numbers.int_ult_impl,
"ff->?": numbers.real_lt_impl,
"dd->?": numbers.real_lt_impl,
"FF->?": npyfuncs.np_complex_lt_impl,
"DD->?": npyfuncs.np_complex_lt_impl,
}
ufunc_db[np.less_equal] = {
"??->?": numbers.int_ule_impl,
"bb->?": numbers.int_sle_impl,
"BB->?": numbers.int_ule_impl,
"hh->?": numbers.int_sle_impl,
"HH->?": numbers.int_ule_impl,
"ii->?": numbers.int_sle_impl,
"II->?": numbers.int_ule_impl,
"ll->?": numbers.int_sle_impl,
"LL->?": numbers.int_ule_impl,
"qq->?": numbers.int_sle_impl,
"QQ->?": numbers.int_ule_impl,
"ff->?": numbers.real_le_impl,
"dd->?": numbers.real_le_impl,
"FF->?": npyfuncs.np_complex_le_impl,
"DD->?": npyfuncs.np_complex_le_impl,
}
ufunc_db[np.not_equal] = {
"??->?": numbers.int_ne_impl,
"bb->?": numbers.int_ne_impl,
"BB->?": numbers.int_ne_impl,
"hh->?": numbers.int_ne_impl,
"HH->?": numbers.int_ne_impl,
"ii->?": numbers.int_ne_impl,
"II->?": numbers.int_ne_impl,
"ll->?": numbers.int_ne_impl,
"LL->?": numbers.int_ne_impl,
"qq->?": numbers.int_ne_impl,
"QQ->?": numbers.int_ne_impl,
"ff->?": numbers.real_ne_impl,
"dd->?": numbers.real_ne_impl,
"FF->?": npyfuncs.np_complex_ne_impl,
"DD->?": npyfuncs.np_complex_ne_impl,
}
ufunc_db[np.equal] = {
"??->?": numbers.int_eq_impl,
"bb->?": numbers.int_eq_impl,
"BB->?": numbers.int_eq_impl,
"hh->?": numbers.int_eq_impl,
"HH->?": numbers.int_eq_impl,
"ii->?": numbers.int_eq_impl,
"II->?": numbers.int_eq_impl,
"ll->?": numbers.int_eq_impl,
"LL->?": numbers.int_eq_impl,
"qq->?": numbers.int_eq_impl,
"QQ->?": numbers.int_eq_impl,
"ff->?": numbers.real_eq_impl,
"dd->?": numbers.real_eq_impl,
"FF->?": npyfuncs.np_complex_eq_impl,
"DD->?": npyfuncs.np_complex_eq_impl,
}
ufunc_db[np.logical_and] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->?": npyfuncs.np_logical_and_impl,
"BB->?": npyfuncs.np_logical_and_impl,
"hh->?": npyfuncs.np_logical_and_impl,
"HH->?": npyfuncs.np_logical_and_impl,
"ii->?": npyfuncs.np_logical_and_impl,
"II->?": npyfuncs.np_logical_and_impl,
"ll->?": npyfuncs.np_logical_and_impl,
"LL->?": npyfuncs.np_logical_and_impl,
"qq->?": npyfuncs.np_logical_and_impl,
"QQ->?": npyfuncs.np_logical_and_impl,
"ff->?": npyfuncs.np_logical_and_impl,
"dd->?": npyfuncs.np_logical_and_impl,
"FF->?": npyfuncs.np_complex_logical_and_impl,
"DD->?": npyfuncs.np_complex_logical_and_impl,
}
ufunc_db[np.logical_or] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->?": npyfuncs.np_logical_or_impl,
"BB->?": npyfuncs.np_logical_or_impl,
"hh->?": npyfuncs.np_logical_or_impl,
"HH->?": npyfuncs.np_logical_or_impl,
"ii->?": npyfuncs.np_logical_or_impl,
"II->?": npyfuncs.np_logical_or_impl,
"ll->?": npyfuncs.np_logical_or_impl,
"LL->?": npyfuncs.np_logical_or_impl,
"qq->?": npyfuncs.np_logical_or_impl,
"QQ->?": npyfuncs.np_logical_or_impl,
"ff->?": npyfuncs.np_logical_or_impl,
"dd->?": npyfuncs.np_logical_or_impl,
"FF->?": npyfuncs.np_complex_logical_or_impl,
"DD->?": npyfuncs.np_complex_logical_or_impl,
}
ufunc_db[np.logical_xor] = {
"??->?": npyfuncs.np_logical_xor_impl,
"bb->?": npyfuncs.np_logical_xor_impl,
"BB->?": npyfuncs.np_logical_xor_impl,
"hh->?": npyfuncs.np_logical_xor_impl,
"HH->?": npyfuncs.np_logical_xor_impl,
"ii->?": npyfuncs.np_logical_xor_impl,
"II->?": npyfuncs.np_logical_xor_impl,
"ll->?": npyfuncs.np_logical_xor_impl,
"LL->?": npyfuncs.np_logical_xor_impl,
"qq->?": npyfuncs.np_logical_xor_impl,
"QQ->?": npyfuncs.np_logical_xor_impl,
"ff->?": npyfuncs.np_logical_xor_impl,
"dd->?": npyfuncs.np_logical_xor_impl,
"FF->?": npyfuncs.np_complex_logical_xor_impl,
"DD->?": npyfuncs.np_complex_logical_xor_impl,
}
ufunc_db[np.logical_not] = {
"?->?": npyfuncs.np_logical_not_impl,
"b->?": npyfuncs.np_logical_not_impl,
"B->?": npyfuncs.np_logical_not_impl,
"h->?": npyfuncs.np_logical_not_impl,
"H->?": npyfuncs.np_logical_not_impl,
"i->?": npyfuncs.np_logical_not_impl,
"I->?": npyfuncs.np_logical_not_impl,
"l->?": npyfuncs.np_logical_not_impl,
"L->?": npyfuncs.np_logical_not_impl,
"q->?": npyfuncs.np_logical_not_impl,
"Q->?": npyfuncs.np_logical_not_impl,
"f->?": npyfuncs.np_logical_not_impl,
"d->?": npyfuncs.np_logical_not_impl,
"F->?": npyfuncs.np_complex_logical_not_impl,
"D->?": npyfuncs.np_complex_logical_not_impl,
}
ufunc_db[np.maximum] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->b": npyfuncs.np_int_smax_impl,
"BB->B": npyfuncs.np_int_umax_impl,
"hh->h": npyfuncs.np_int_smax_impl,
"HH->H": npyfuncs.np_int_umax_impl,
"ii->i": npyfuncs.np_int_smax_impl,
"II->I": npyfuncs.np_int_umax_impl,
"ll->l": npyfuncs.np_int_smax_impl,
"LL->L": npyfuncs.np_int_umax_impl,
"qq->q": npyfuncs.np_int_smax_impl,
"QQ->Q": npyfuncs.np_int_umax_impl,
"ff->f": npyfuncs.np_real_maximum_impl,
"dd->d": npyfuncs.np_real_maximum_impl,
"FF->F": npyfuncs.np_complex_maximum_impl,
"DD->D": npyfuncs.np_complex_maximum_impl,
}
ufunc_db[np.minimum] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->b": npyfuncs.np_int_smin_impl,
"BB->B": npyfuncs.np_int_umin_impl,
"hh->h": npyfuncs.np_int_smin_impl,
"HH->H": npyfuncs.np_int_umin_impl,
"ii->i": npyfuncs.np_int_smin_impl,
"II->I": npyfuncs.np_int_umin_impl,
"ll->l": npyfuncs.np_int_smin_impl,
"LL->L": npyfuncs.np_int_umin_impl,
"qq->q": npyfuncs.np_int_smin_impl,
"QQ->Q": npyfuncs.np_int_umin_impl,
"ff->f": npyfuncs.np_real_minimum_impl,
"dd->d": npyfuncs.np_real_minimum_impl,
"FF->F": npyfuncs.np_complex_minimum_impl,
"DD->D": npyfuncs.np_complex_minimum_impl,
}
ufunc_db[np.fmax] = {
"??->?": npyfuncs.np_logical_or_impl,
"bb->b": npyfuncs.np_int_smax_impl,
"BB->B": npyfuncs.np_int_umax_impl,
"hh->h": npyfuncs.np_int_smax_impl,
"HH->H": npyfuncs.np_int_umax_impl,
"ii->i": npyfuncs.np_int_smax_impl,
"II->I": npyfuncs.np_int_umax_impl,
"ll->l": npyfuncs.np_int_smax_impl,
"LL->L": npyfuncs.np_int_umax_impl,
"qq->q": npyfuncs.np_int_smax_impl,
"QQ->Q": npyfuncs.np_int_umax_impl,
"ff->f": npyfuncs.np_real_fmax_impl,
"dd->d": npyfuncs.np_real_fmax_impl,
"FF->F": npyfuncs.np_complex_fmax_impl,
"DD->D": npyfuncs.np_complex_fmax_impl,
}
ufunc_db[np.fmin] = {
"??->?": npyfuncs.np_logical_and_impl,
"bb->b": npyfuncs.np_int_smin_impl,
"BB->B": npyfuncs.np_int_umin_impl,
"hh->h": npyfuncs.np_int_smin_impl,
"HH->H": npyfuncs.np_int_umin_impl,
"ii->i": npyfuncs.np_int_smin_impl,
"II->I": npyfuncs.np_int_umin_impl,
"ll->l": npyfuncs.np_int_smin_impl,
"LL->L": npyfuncs.np_int_umin_impl,
"qq->q": npyfuncs.np_int_smin_impl,
"QQ->Q": npyfuncs.np_int_umin_impl,
"ff->f": npyfuncs.np_real_fmin_impl,
"dd->d": npyfuncs.np_real_fmin_impl,
"FF->F": npyfuncs.np_complex_fmin_impl,
"DD->D": npyfuncs.np_complex_fmin_impl,
}
# misc floating functions
ufunc_db[np.isnan] = {
"f->?": npyfuncs.np_real_isnan_impl,
"d->?": npyfuncs.np_real_isnan_impl,
"F->?": npyfuncs.np_complex_isnan_impl,
"D->?": npyfuncs.np_complex_isnan_impl,
# int8
"b->?": npyfuncs.np_int_isnan_impl,
"B->?": npyfuncs.np_int_isnan_impl,
# int16
"h->?": npyfuncs.np_int_isnan_impl,
"H->?": npyfuncs.np_int_isnan_impl,
# int32
"i->?": npyfuncs.np_int_isnan_impl,
"I->?": npyfuncs.np_int_isnan_impl,
# int64
"l->?": npyfuncs.np_int_isnan_impl,
"L->?": npyfuncs.np_int_isnan_impl,
# intp
"q->?": npyfuncs.np_int_isnan_impl,
"Q->?": npyfuncs.np_int_isnan_impl,
# boolean
"?->?": npyfuncs.np_int_isnan_impl,
}
ufunc_db[np.isinf] = {
"f->?": npyfuncs.np_real_isinf_impl,
"d->?": npyfuncs.np_real_isinf_impl,
"F->?": npyfuncs.np_complex_isinf_impl,
"D->?": npyfuncs.np_complex_isinf_impl,
# int8
"b->?": npyfuncs.np_int_isinf_impl,
"B->?": npyfuncs.np_int_isinf_impl,
# int16
"h->?": npyfuncs.np_int_isinf_impl,
"H->?": npyfuncs.np_int_isinf_impl,
# int32
"i->?": npyfuncs.np_int_isinf_impl,
"I->?": npyfuncs.np_int_isinf_impl,
# int64
"l->?": npyfuncs.np_int_isinf_impl,
"L->?": npyfuncs.np_int_isinf_impl,
# intp
"q->?": npyfuncs.np_int_isinf_impl,
"Q->?": npyfuncs.np_int_isinf_impl,
# boolean
"?->?": npyfuncs.np_int_isinf_impl,
}
ufunc_db[np.isfinite] = {
"f->?": npyfuncs.np_real_isfinite_impl,
"d->?": npyfuncs.np_real_isfinite_impl,
"F->?": npyfuncs.np_complex_isfinite_impl,
"D->?": npyfuncs.np_complex_isfinite_impl,
# int8
"b->?": npyfuncs.np_int_isfinite_impl,
"B->?": npyfuncs.np_int_isfinite_impl,
# int16
"h->?": npyfuncs.np_int_isfinite_impl,
"H->?": npyfuncs.np_int_isfinite_impl,
# int32
"i->?": npyfuncs.np_int_isfinite_impl,
"I->?": npyfuncs.np_int_isfinite_impl,
# int64
"l->?": npyfuncs.np_int_isfinite_impl,
"L->?": npyfuncs.np_int_isfinite_impl,
# intp
"q->?": npyfuncs.np_int_isfinite_impl,
"Q->?": npyfuncs.np_int_isfinite_impl,
# boolean
"?->?": npyfuncs.np_int_isfinite_impl,
# datetime & timedelta
"M->?": npyfuncs.np_datetime_isfinite_impl,
"m->?": npyfuncs.np_datetime_isfinite_impl,
}
ufunc_db[np.signbit] = {
"f->?": npyfuncs.np_real_signbit_impl,
"d->?": npyfuncs.np_real_signbit_impl,
}
ufunc_db[np.copysign] = {
"ff->f": npyfuncs.np_real_copysign_impl,
"dd->d": npyfuncs.np_real_copysign_impl,
}
ufunc_db[np.nextafter] = {
"ff->f": npyfuncs.np_real_nextafter_impl,
"dd->d": npyfuncs.np_real_nextafter_impl,
}
ufunc_db[np.spacing] = {
"f->f": npyfuncs.np_real_spacing_impl,
"d->d": npyfuncs.np_real_spacing_impl,
}
ufunc_db[np.ldexp] = {
"fi->f": npyfuncs.np_real_ldexp_impl,
"fl->f": npyfuncs.np_real_ldexp_impl,
"di->d": npyfuncs.np_real_ldexp_impl,
"dl->d": npyfuncs.np_real_ldexp_impl,
}
# bit twiddling functions
ufunc_db[np.bitwise_and] = {
"??->?": numbers.int_and_impl,
"bb->b": numbers.int_and_impl,
"BB->B": numbers.int_and_impl,
"hh->h": numbers.int_and_impl,
"HH->H": numbers.int_and_impl,
"ii->i": numbers.int_and_impl,
"II->I": numbers.int_and_impl,
"ll->l": numbers.int_and_impl,
"LL->L": numbers.int_and_impl,
"qq->q": numbers.int_and_impl,
"QQ->Q": numbers.int_and_impl,
}
ufunc_db[np.bitwise_or] = {
"??->?": numbers.int_or_impl,
"bb->b": numbers.int_or_impl,
"BB->B": numbers.int_or_impl,
"hh->h": numbers.int_or_impl,
"HH->H": numbers.int_or_impl,
"ii->i": numbers.int_or_impl,
"II->I": numbers.int_or_impl,
"ll->l": numbers.int_or_impl,
"LL->L": numbers.int_or_impl,
"qq->q": numbers.int_or_impl,
"QQ->Q": numbers.int_or_impl,
}
ufunc_db[np.bitwise_xor] = {
"??->?": numbers.int_xor_impl,
"bb->b": numbers.int_xor_impl,
"BB->B": numbers.int_xor_impl,
"hh->h": numbers.int_xor_impl,
"HH->H": numbers.int_xor_impl,
"ii->i": numbers.int_xor_impl,
"II->I": numbers.int_xor_impl,
"ll->l": numbers.int_xor_impl,
"LL->L": numbers.int_xor_impl,
"qq->q": numbers.int_xor_impl,
"QQ->Q": numbers.int_xor_impl,
}
ufunc_db[np.invert] = { # aka np.bitwise_not
"?->?": numbers.int_invert_impl,
"b->b": numbers.int_invert_impl,
"B->B": numbers.int_invert_impl,
"h->h": numbers.int_invert_impl,
"H->H": numbers.int_invert_impl,
"i->i": numbers.int_invert_impl,
"I->I": numbers.int_invert_impl,
"l->l": numbers.int_invert_impl,
"L->L": numbers.int_invert_impl,
"q->q": numbers.int_invert_impl,
"Q->Q": numbers.int_invert_impl,
}
ufunc_db[np.left_shift] = {
"bb->b": numbers.int_shl_impl,
"BB->B": numbers.int_shl_impl,
"hh->h": numbers.int_shl_impl,
"HH->H": numbers.int_shl_impl,
"ii->i": numbers.int_shl_impl,
"II->I": numbers.int_shl_impl,
"ll->l": numbers.int_shl_impl,
"LL->L": numbers.int_shl_impl,
"qq->q": numbers.int_shl_impl,
"QQ->Q": numbers.int_shl_impl,
}
ufunc_db[np.right_shift] = {
"bb->b": numbers.int_shr_impl,
"BB->B": numbers.int_shr_impl,
"hh->h": numbers.int_shr_impl,
"HH->H": numbers.int_shr_impl,
"ii->i": numbers.int_shr_impl,
"II->I": numbers.int_shr_impl,
"ll->l": numbers.int_shr_impl,
"LL->L": numbers.int_shr_impl,
"qq->q": numbers.int_shr_impl,
"QQ->Q": numbers.int_shr_impl,
}
# Inject datetime64 support
from . import npdatetime
ufunc_db[np.negative].update(
{
"m->m": npdatetime.timedelta_neg_impl,
}
)
ufunc_db[np.absolute].update(
{
"m->m": npdatetime.timedelta_abs_impl,
}
)
ufunc_db[np.sign].update(
{
"m->m": npdatetime.timedelta_sign_impl,
}
)
ufunc_db[np.add].update(
{
"mm->m": npdatetime.timedelta_add_impl,
"Mm->M": npdatetime.datetime_plus_timedelta,
"mM->M": npdatetime.timedelta_plus_datetime,
}
)
ufunc_db[np.subtract].update(
{
"mm->m": npdatetime.timedelta_sub_impl,
"Mm->M": npdatetime.datetime_minus_timedelta,
"MM->m": npdatetime.datetime_minus_datetime,
}
)
ufunc_db[np.multiply].update(
{
"mq->m": npdatetime.timedelta_times_number,
"md->m": npdatetime.timedelta_times_number,
"qm->m": npdatetime.number_times_timedelta,
"dm->m": npdatetime.number_times_timedelta,
}
)
if np.divide != np.true_divide:
ufunc_db[np.divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
"mm->d": npdatetime.timedelta_over_timedelta,
}
)
ufunc_db[np.true_divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
"mm->d": npdatetime.timedelta_over_timedelta,
}
)
ufunc_db[np.floor_divide].update(
{
"mq->m": npdatetime.timedelta_over_number,
"md->m": npdatetime.timedelta_over_number,
}
)
if numpy_support.version >= (1, 16):
ufunc_db[np.floor_divide].update(
{
"mm->q": npdatetime.timedelta_floor_div_timedelta,
}
)
ufunc_db[np.equal].update(
{
"MM->?": npdatetime.datetime_eq_datetime_impl,
"mm->?": npdatetime.timedelta_eq_timedelta_impl,
}
)
ufunc_db[np.not_equal].update(
{
"MM->?": npdatetime.datetime_ne_datetime_impl,
"mm->?": npdatetime.timedelta_ne_timedelta_impl,
}
)
ufunc_db[np.less].update(
{
"MM->?": npdatetime.datetime_lt_datetime_impl,
"mm->?": npdatetime.timedelta_lt_timedelta_impl,
}
)
ufunc_db[np.less_equal].update(
{
"MM->?": npdatetime.datetime_le_datetime_impl,
"mm->?": npdatetime.timedelta_le_timedelta_impl,
}
)
ufunc_db[np.greater].update(
{
"MM->?": npdatetime.datetime_gt_datetime_impl,
"mm->?": npdatetime.timedelta_gt_timedelta_impl,
}
)
ufunc_db[np.greater_equal].update(
{
"MM->?": npdatetime.datetime_ge_datetime_impl,
"mm->?": npdatetime.timedelta_ge_timedelta_impl,
}
)
ufunc_db[np.maximum].update(
{
"MM->M": npdatetime.datetime_max_impl,
"mm->m": npdatetime.timedelta_max_impl,
}
)
ufunc_db[np.minimum].update(
{
"MM->M": npdatetime.datetime_min_impl,
"mm->m": npdatetime.timedelta_min_impl,
}
)
# there is no difference for datetime/timedelta in maximum/fmax
# and minimum/fmin
ufunc_db[np.fmax].update(
{
"MM->M": npdatetime.datetime_max_impl,
"mm->m": npdatetime.timedelta_max_impl,
}
)
ufunc_db[np.fmin].update(
{
"MM->M": npdatetime.datetime_min_impl,
"mm->m": npdatetime.timedelta_min_impl,
}
)
if numpy_support.version >= (1, 16):
ufunc_db[np.remainder].update(
{
"mm->m": npdatetime.timedelta_mod_timedelta,
}
)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _extract_loop_lifting_candidates(cfg, blocks):
"""
Returns a list of loops that are candidate for loop lifting
"""
# check well-formed-ness of the loop
def same_exit_point(loop):
"all exits must point to the same location"
outedges = set()
for k in loop.exits:
succs = set(x for x, _ in cfg.successors(k))
if not succs:
# If the exit point has no successor, it contains an return
# statement, which is not handled by the looplifting code.
# Thus, this loop is not a candidate.
_logger.debug("return-statement in loop.")
return False
outedges |= succs
ok = len(outedges) == 1
_logger.debug("same_exit_point=%s (%s)", ok, outedges)
return ok
def one_entry(loop):
"there is one entry"
ok = len(loop.entries) == 1
_logger.debug("one_entry=%s", ok)
return ok
def cannot_yield(loop):
"cannot have yield inside the loop"
insiders = set(loop.body) | set(loop.entries) | set(loop.exits)
for blk in map(blocks.__getitem__, insiders):
for inst in blk.body:
if isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Yield):
_logger.debug("has yield")
return False
_logger.debug("no yield")
return True
_logger.info("finding looplift candidates")
# the check for cfg.entry_point in the loop.entries is to prevent a bad
# rewrite where a prelude for a lifted loop would get written into block -1
# if a loop entry were in block 0
candidates = []
for loop in find_top_level_loops(cfg):
_logger.debug("top-level loop: %s", loop)
if (
same_exit_point(loop)
and one_entry(loop)
and cannot_yield(loop)
and cfg.entry_point() not in loop.entries
):
candidates.append(loop)
_logger.debug("add candidate: %s", loop)
return candidates
|
def _extract_loop_lifting_candidates(cfg, blocks):
"""
Returns a list of loops that are candidate for loop lifting
"""
# check well-formed-ness of the loop
def same_exit_point(loop):
"all exits must point to the same location"
outedges = set()
for k in loop.exits:
succs = set(x for x, _ in cfg.successors(k))
if not succs:
# If the exit point has no successor, it contains an return
# statement, which is not handled by the looplifting code.
# Thus, this loop is not a candidate.
_logger.debug("return-statement in loop.")
return False
outedges |= succs
ok = len(outedges) == 1
_logger.debug("same_exit_point=%s", ok)
return ok
def one_entry(loop):
"there is one entry"
ok = len(loop.entries) == 1
_logger.debug("one_entry=%s", ok)
return ok
def cannot_yield(loop):
"cannot have yield inside the loop"
insiders = set(loop.body) | set(loop.entries) | set(loop.exits)
for blk in map(blocks.__getitem__, insiders):
for inst in blk.body:
if isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Yield):
_logger.debug("has yield")
return False
_logger.debug("no yield")
return True
_logger.info("finding looplift candidates")
# the check for cfg.entry_point in the loop.entries is to prevent a bad
# rewrite where a prelude for a lifted loop would get written into block -1
# if a loop entry were in block 0
candidates = []
for loop in find_top_level_loops(cfg):
_logger.debug("top-level loop: %s", loop)
if (
same_exit_point(loop)
and one_entry(loop)
and cannot_yield(loop)
and cfg.entry_point() not in loop.entries
):
candidates.append(loop)
_logger.debug("add candidate: %s", loop)
return candidates
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def same_exit_point(loop):
"all exits must point to the same location"
outedges = set()
for k in loop.exits:
succs = set(x for x, _ in cfg.successors(k))
if not succs:
# If the exit point has no successor, it contains an return
# statement, which is not handled by the looplifting code.
# Thus, this loop is not a candidate.
_logger.debug("return-statement in loop.")
return False
outedges |= succs
ok = len(outedges) == 1
_logger.debug("same_exit_point=%s (%s)", ok, outedges)
return ok
|
def same_exit_point(loop):
"all exits must point to the same location"
outedges = set()
for k in loop.exits:
succs = set(x for x, _ in cfg.successors(k))
if not succs:
# If the exit point has no successor, it contains an return
# statement, which is not handled by the looplifting code.
# Thus, this loop is not a candidate.
_logger.debug("return-statement in loop.")
return False
outedges |= succs
ok = len(outedges) == 1
_logger.debug("same_exit_point=%s", ok)
return ok
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _loop_lift_get_candidate_infos(cfg, blocks, livemap):
"""
Returns information on looplifting candidates.
"""
loops = _extract_loop_lifting_candidates(cfg, blocks)
loopinfos = []
for loop in loops:
[callfrom] = loop.entries # requirement checked earlier
an_exit = next(iter(loop.exits)) # anyone of the exit block
if len(loop.exits) > 1:
# Pre-Py3.8 may have multiple exits
[(returnto, _)] = cfg.successors(an_exit) # requirement checked earlier
else:
# Post-Py3.8 DO NOT have multiple exits
returnto = an_exit
local_block_ids = set(loop.body) | set(loop.entries)
inputs, outputs = find_region_inout_vars(
blocks=blocks,
livemap=livemap,
callfrom=callfrom,
returnto=returnto,
body_block_ids=local_block_ids,
)
lli = _loop_lift_info(
loop=loop,
inputs=inputs,
outputs=outputs,
callfrom=callfrom,
returnto=returnto,
)
loopinfos.append(lli)
return loopinfos
|
def _loop_lift_get_candidate_infos(cfg, blocks, livemap):
"""
Returns information on looplifting candidates.
"""
loops = _extract_loop_lifting_candidates(cfg, blocks)
loopinfos = []
for loop in loops:
[callfrom] = loop.entries # requirement checked earlier
an_exit = next(iter(loop.exits)) # anyone of the exit block
[(returnto, _)] = cfg.successors(an_exit) # requirement checked earlier
local_block_ids = set(loop.body) | set(loop.entries) | set(loop.exits)
inputs, outputs = find_region_inout_vars(
blocks=blocks,
livemap=livemap,
callfrom=callfrom,
returnto=returnto,
body_block_ids=local_block_ids,
)
lli = _loop_lift_info(
loop=loop,
inputs=inputs,
outputs=outputs,
callfrom=callfrom,
returnto=returnto,
)
loopinfos.append(lli)
return loopinfos
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _loop_lift_modify_blocks(
func_ir, loopinfo, blocks, typingctx, targetctx, flags, locals
):
"""
Modify the block inplace to call to the lifted-loop.
Returns a dictionary of blocks of the lifted-loop.
"""
from numba.dispatcher import LiftedLoop
# Copy loop blocks
loop = loopinfo.loop
loopblockkeys = set(loop.body) | set(loop.entries)
if len(loop.exits) > 1:
# Pre-Py3.8 may have multiple exits
loopblockkeys |= loop.exits
loopblocks = dict((k, blocks[k].copy()) for k in loopblockkeys)
# Modify the loop blocks
_loop_lift_prepare_loop_func(loopinfo, loopblocks)
# Create a new IR for the lifted loop
lifted_ir = func_ir.derive(
blocks=loopblocks,
arg_names=tuple(loopinfo.inputs),
arg_count=len(loopinfo.inputs),
force_non_generator=True,
)
liftedloop = LiftedLoop(lifted_ir, typingctx, targetctx, flags, locals)
# modify for calling into liftedloop
callblock = _loop_lift_modify_call_block(
liftedloop,
blocks[loopinfo.callfrom],
loopinfo.inputs,
loopinfo.outputs,
loopinfo.returnto,
)
# remove blocks
for k in loopblockkeys:
del blocks[k]
# update main interpreter callsite into the liftedloop
blocks[loopinfo.callfrom] = callblock
return liftedloop
|
def _loop_lift_modify_blocks(
func_ir, loopinfo, blocks, typingctx, targetctx, flags, locals
):
"""
Modify the block inplace to call to the lifted-loop.
Returns a dictionary of blocks of the lifted-loop.
"""
from numba.dispatcher import LiftedLoop
# Copy loop blocks
loop = loopinfo.loop
loopblockkeys = set(loop.body) | set(loop.entries) | set(loop.exits)
loopblocks = dict((k, blocks[k].copy()) for k in loopblockkeys)
# Modify the loop blocks
_loop_lift_prepare_loop_func(loopinfo, loopblocks)
# Create a new IR for the lifted loop
lifted_ir = func_ir.derive(
blocks=loopblocks,
arg_names=tuple(loopinfo.inputs),
arg_count=len(loopinfo.inputs),
force_non_generator=True,
)
liftedloop = LiftedLoop(lifted_ir, typingctx, targetctx, flags, locals)
# modify for calling into liftedloop
callblock = _loop_lift_modify_call_block(
liftedloop,
blocks[loopinfo.callfrom],
loopinfo.inputs,
loopinfo.outputs,
loopinfo.returnto,
)
# remove blocks
for k in loopblockkeys:
del blocks[k]
# update main interpreter callsite into the liftedloop
blocks[loopinfo.callfrom] = callblock
return liftedloop
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def loop_lifting(func_ir, typingctx, targetctx, flags, locals):
"""
Loop lifting transformation.
Given a interpreter `func_ir` returns a 2 tuple of
`(toplevel_interp, [loop0_interp, loop1_interp, ....])`
"""
blocks = func_ir.blocks.copy()
cfg = compute_cfg_from_blocks(blocks)
loopinfos = _loop_lift_get_candidate_infos(
cfg, blocks, func_ir.variable_lifetime.livemap
)
loops = []
if loopinfos:
_logger.debug(
"loop lifting this IR with %d candidates:\n%s",
len(loopinfos),
func_ir.dump_to_string(),
)
for loopinfo in loopinfos:
lifted = _loop_lift_modify_blocks(
func_ir, loopinfo, blocks, typingctx, targetctx, flags, locals
)
loops.append(lifted)
# Make main IR
main = func_ir.derive(blocks=blocks)
return main, loops
|
def loop_lifting(func_ir, typingctx, targetctx, flags, locals):
"""
Loop lifting transformation.
Given a interpreter `func_ir` returns a 2 tuple of
`(toplevel_interp, [loop0_interp, loop1_interp, ....])`
"""
blocks = func_ir.blocks.copy()
cfg = compute_cfg_from_blocks(blocks)
loopinfos = _loop_lift_get_candidate_infos(
cfg, blocks, func_ir.variable_lifetime.livemap
)
loops = []
for loopinfo in loopinfos:
lifted = _loop_lift_modify_blocks(
func_ir, loopinfo, blocks, typingctx, targetctx, flags, locals
)
loops.append(lifted)
# Make main IR
main = func_ir.derive(blocks=blocks)
return main, loops
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def type_inference_stage(
typingctx, interp, args, return_type, locals={}, raise_errors=True
):
if len(args) != interp.arg_count:
raise TypeError("Mismatch number of argument types")
warnings = errors.WarningsFixer(errors.NumbaWarning)
infer = typeinfer.TypeInferer(typingctx, interp, warnings)
with typingctx.callstack.register(infer, interp.func_id, args):
# Seed argument types
for index, (name, ty) in enumerate(zip(interp.arg_names, args)):
infer.seed_argument(name, index, ty)
# Seed return type
if return_type is not None:
infer.seed_return(return_type)
# Seed local types
for k, v in locals.items():
infer.seed_type(k, v)
infer.build_constraint()
infer.propagate(raise_errors=raise_errors)
typemap, restype, calltypes = infer.unify(raise_errors=raise_errors)
# Output all Numba warnings
warnings.flush()
return typemap, restype, calltypes
|
def type_inference_stage(typingctx, interp, args, return_type, locals={}):
if len(args) != interp.arg_count:
raise TypeError("Mismatch number of argument types")
warnings = errors.WarningsFixer(errors.NumbaWarning)
infer = typeinfer.TypeInferer(typingctx, interp, warnings)
with typingctx.callstack.register(infer, interp.func_id, args):
# Seed argument types
for index, (name, ty) in enumerate(zip(interp.arg_names, args)):
infer.seed_argument(name, index, ty)
# Seed return type
if return_type is not None:
infer.seed_return(return_type)
# Seed local types
for k, v in locals.items():
infer.seed_type(k, v)
infer.build_constraint()
infer.propagate()
typemap, restype, calltypes = infer.unify()
# Output all Numba warnings
warnings.flush()
return typemap, restype, calltypes
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def legalize_return_type(return_type, interp, targetctx):
"""
Only accept array return type iff it is passed into the function.
Reject function object return types if in nopython mode.
"""
if not targetctx.enable_nrt and isinstance(return_type, types.Array):
# Walk IR to discover all arguments and all return statements
retstmts = []
caststmts = {}
argvars = set()
for bid, blk in interp.blocks.items():
for inst in blk.body:
if isinstance(inst, ir.Return):
retstmts.append(inst.value.name)
elif isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Expr) and inst.value.op == "cast":
caststmts[inst.target.name] = inst.value
elif isinstance(inst.value, ir.Arg):
argvars.add(inst.target.name)
assert retstmts, "No return statements?"
for var in retstmts:
cast = caststmts.get(var)
if cast is None or cast.value.name not in argvars:
if self._raise_errors:
raise TypeError(
"Only accept returning of array "
"passed into the function as "
"argument"
)
elif isinstance(return_type, types.Function) or isinstance(
return_type, types.Phantom
):
if self._raise_errors:
msg = "Can't return function object ({}) in nopython mode"
raise TypeError(msg.format(return_type))
|
def legalize_return_type(return_type, interp, targetctx):
"""
Only accept array return type iff it is passed into the function.
Reject function object return types if in nopython mode.
"""
if not targetctx.enable_nrt and isinstance(return_type, types.Array):
# Walk IR to discover all arguments and all return statements
retstmts = []
caststmts = {}
argvars = set()
for bid, blk in interp.blocks.items():
for inst in blk.body:
if isinstance(inst, ir.Return):
retstmts.append(inst.value.name)
elif isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Expr) and inst.value.op == "cast":
caststmts[inst.target.name] = inst.value
elif isinstance(inst.value, ir.Arg):
argvars.add(inst.target.name)
assert retstmts, "No return statements?"
for var in retstmts:
cast = caststmts.get(var)
if cast is None or cast.value.name not in argvars:
raise TypeError(
"Only accept returning of array passed "
"into the function as argument"
)
elif isinstance(return_type, types.Function) or isinstance(
return_type, types.Phantom
):
msg = "Can't return function object ({}) in nopython mode"
raise TypeError(msg.format(return_type))
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def run_pass(self, state):
"""Run inlining of overloads"""
if self._DEBUG:
print("before overload inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
modified = False
work_list = list(state.func_ir.blocks.items())
# use a work list, look for call sites via `ir.Expr.op == call` and
# then pass these to `self._do_work` to make decisions about inlining.
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
expr = instr.value
if isinstance(expr, ir.Expr):
if expr.op == "call":
workfn = self._do_work_call
elif expr.op == "getattr":
workfn = self._do_work_getattr
else:
continue
if guard(workfn, state, work_list, block, i, expr):
modified = True
break # because block structure changed
if self._DEBUG:
print("after overload inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
if modified:
# clean up blocks
dead_code_elimination(state.func_ir, typemap=state.type_annotation.typemap)
# clean up unconditional branches that appear due to inlined
# functions introducing blocks
state.func_ir.blocks = simplify_CFG(state.func_ir.blocks)
if self._DEBUG:
print("after overload inline DCE".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
return True
|
def run_pass(self, state):
"""Run inlining of overloads"""
if config.DEBUG or self._DEBUG:
print("before overload inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
modified = False
work_list = list(state.func_ir.blocks.items())
# use a work list, look for call sites via `ir.Expr.op == call` and
# then pass these to `self._do_work` to make decisions about inlining.
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
expr = instr.value
if isinstance(expr, ir.Expr) and expr.op == "call":
if guard(self._do_work, state, work_list, block, i, expr):
modified = True
break # because block structure changed
if config.DEBUG or self._DEBUG:
print("after overload inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
if modified:
# clean up blocks
dead_code_elimination(state.func_ir, typemap=state.type_annotation.typemap)
# clean up unconditional branches that appear due to inlined
# functions introducing blocks
state.func_ir.blocks = simplify_CFG(state.func_ir.blocks)
if config.DEBUG or self._DEBUG:
print("after overload inline DCE".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
return True
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
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)
|
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)
|
https://github.com/numba/numba/issues/4944
|
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($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def unify(self, raise_errors=True):
"""
Run the final unification pass over all inferred types, and
catch imprecise types.
"""
typdict = utils.UniqueDict()
def find_offender(name, exhaustive=False):
# finds the offending variable definition by name
# if exhaustive is set it will try and trace through temporary
# variables to find a concrete offending definition.
offender = None
for block in self.func_ir.blocks.values():
offender = block.find_variable_assignment(name)
if offender is not None:
if not exhaustive:
break
try: # simple assignment
hasattr(offender.value, "name")
offender_value = offender.value.name
except (AttributeError, KeyError):
break
orig_offender = offender
if offender_value.startswith("$"):
offender = find_offender(offender_value, exhaustive=exhaustive)
if offender is None:
offender = orig_offender
break
return offender
def diagnose_imprecision(offender):
# helper for diagnosing imprecise types
list_msg = """\n
For Numba to be able to compile a list, the list must have a known and
precise type that can be inferred from the other variables. Whilst sometimes
the type of empty lists can be inferred, this is not always the case, see this
documentation for help:
http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#my-code-has-an-untyped-list-problem
"""
if offender is not None:
# This block deals with imprecise lists
if hasattr(offender, "value"):
if hasattr(offender.value, "op"):
# might be `foo = []`
if offender.value.op == "build_list":
return list_msg
# or might be `foo = list()`
elif offender.value.op == "call":
try: # assignment involving a call
call_name = offender.value.func.name
# find the offender based on the call name
offender = find_offender(call_name)
if isinstance(offender.value, ir.Global):
if offender.value.name == "list":
return list_msg
except (AttributeError, KeyError):
pass
return "" # no help possible
def check_var(name):
tv = self.typevars[name]
if not tv.defined:
if raise_errors:
offender = find_offender(name)
val = getattr(offender, "value", "unknown operation")
loc = getattr(offender, "loc", ir.unknown_loc)
msg = (
"Type of variable '%s' cannot be determined, "
"operation: %s, location: %s"
)
raise TypingError(msg % (var, val, loc), loc)
else:
typdict[var] = types.unknown
return
tp = tv.getone()
if not tp.is_precise():
offender = find_offender(name, exhaustive=True)
msg = (
"Cannot infer the type of variable '%s'%s, have imprecise type: %s. %s"
)
istmp = " (temporary variable)" if var.startswith("$") else ""
loc = getattr(offender, "loc", ir.unknown_loc)
# is this an untyped list? try and provide help
extra_msg = diagnose_imprecision(offender)
if raise_errors:
raise TypingError(msg % (var, istmp, tp, extra_msg), loc)
else:
typdict[var] = types.unknown
return
else: # type is precise, hold it
typdict[var] = tp
# For better error display, check first user-visible vars, then
# temporaries
temps = set(k for k in self.typevars if not k[0].isalpha())
others = set(self.typevars) - temps
for var in sorted(others):
check_var(var)
for var in sorted(temps):
check_var(var)
try:
retty = self.get_return_type(typdict)
except Exception as e:
# partial type inference may raise e.g. attribute error if a
# constraint has no computable signature, ignore this as needed
if raise_errors:
raise e
else:
retty = None
try:
fntys = self.get_function_types(typdict)
except Exception as e:
# partial type inference may raise e.g. attribute error if a
# constraint has no computable signature, ignore this as needed
if raise_errors:
raise e
else:
fntys = None
if self.generator_info:
retty = self.get_generator_type(typdict, retty, raise_errors=raise_errors)
self.debug.unify_finished(typdict, retty, fntys)
return typdict, retty, fntys
|
def unify(self):
"""
Run the final unification pass over all inferred types, and
catch imprecise types.
"""
typdict = utils.UniqueDict()
def find_offender(name, exhaustive=False):
# finds the offending variable definition by name
# if exhaustive is set it will try and trace through temporary
# variables to find a concrete offending definition.
offender = None
for block in self.func_ir.blocks.values():
offender = block.find_variable_assignment(name)
if offender is not None:
if not exhaustive:
break
try: # simple assignment
hasattr(offender.value, "name")
offender_value = offender.value.name
except (AttributeError, KeyError):
break
orig_offender = offender
if offender_value.startswith("$"):
offender = find_offender(offender_value, exhaustive=exhaustive)
if offender is None:
offender = orig_offender
break
return offender
def diagnose_imprecision(offender):
# helper for diagnosing imprecise types
list_msg = """\n
For Numba to be able to compile a list, the list must have a known and
precise type that can be inferred from the other variables. Whilst sometimes
the type of empty lists can be inferred, this is not always the case, see this
documentation for help:
http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#my-code-has-an-untyped-list-problem
"""
if offender is not None:
# This block deals with imprecise lists
if hasattr(offender, "value"):
if hasattr(offender.value, "op"):
# might be `foo = []`
if offender.value.op == "build_list":
return list_msg
# or might be `foo = list()`
elif offender.value.op == "call":
try: # assignment involving a call
call_name = offender.value.func.name
# find the offender based on the call name
offender = find_offender(call_name)
if isinstance(offender.value, ir.Global):
if offender.value.name == "list":
return list_msg
except (AttributeError, KeyError):
pass
return "" # no help possible
def check_var(name):
tv = self.typevars[name]
if not tv.defined:
offender = find_offender(name)
val = getattr(offender, "value", "unknown operation")
loc = getattr(offender, "loc", ir.unknown_loc)
msg = (
"Type of variable '%s' cannot be determined, operation:"
" %s, location: %s"
)
raise TypingError(msg % (var, val, loc), loc)
tp = tv.getone()
if not tp.is_precise():
offender = find_offender(name, exhaustive=True)
msg = (
"Cannot infer the type of variable '%s'%s, have imprecise type: %s. %s"
)
istmp = " (temporary variable)" if var.startswith("$") else ""
loc = getattr(offender, "loc", ir.unknown_loc)
# is this an untyped list? try and provide help
extra_msg = diagnose_imprecision(offender)
raise TypingError(msg % (var, istmp, tp, extra_msg), loc)
else: # type is precise, hold it
typdict[var] = tp
# For better error display, check first user-visible vars, then
# temporaries
temps = set(k for k in self.typevars if not k[0].isalpha())
others = set(self.typevars) - temps
for var in sorted(others):
check_var(var)
for var in sorted(temps):
check_var(var)
retty = self.get_return_type(typdict)
fntys = self.get_function_types(typdict)
if self.generator_info:
retty = self.get_generator_type(typdict, retty)
self.debug.unify_finished(typdict, retty, fntys)
return typdict, retty, fntys
|
https://github.com/numba/numba/issues/4944
|
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($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def check_var(name):
tv = self.typevars[name]
if not tv.defined:
if raise_errors:
offender = find_offender(name)
val = getattr(offender, "value", "unknown operation")
loc = getattr(offender, "loc", ir.unknown_loc)
msg = (
"Type of variable '%s' cannot be determined, "
"operation: %s, location: %s"
)
raise TypingError(msg % (var, val, loc), loc)
else:
typdict[var] = types.unknown
return
tp = tv.getone()
if not tp.is_precise():
offender = find_offender(name, exhaustive=True)
msg = "Cannot infer the type of variable '%s'%s, have imprecise type: %s. %s"
istmp = " (temporary variable)" if var.startswith("$") else ""
loc = getattr(offender, "loc", ir.unknown_loc)
# is this an untyped list? try and provide help
extra_msg = diagnose_imprecision(offender)
if raise_errors:
raise TypingError(msg % (var, istmp, tp, extra_msg), loc)
else:
typdict[var] = types.unknown
return
else: # type is precise, hold it
typdict[var] = tp
|
def check_var(name):
tv = self.typevars[name]
if not tv.defined:
offender = find_offender(name)
val = getattr(offender, "value", "unknown operation")
loc = getattr(offender, "loc", ir.unknown_loc)
msg = "Type of variable '%s' cannot be determined, operation: %s, location: %s"
raise TypingError(msg % (var, val, loc), loc)
tp = tv.getone()
if not tp.is_precise():
offender = find_offender(name, exhaustive=True)
msg = "Cannot infer the type of variable '%s'%s, have imprecise type: %s. %s"
istmp = " (temporary variable)" if var.startswith("$") else ""
loc = getattr(offender, "loc", ir.unknown_loc)
# is this an untyped list? try and provide help
extra_msg = diagnose_imprecision(offender)
raise TypingError(msg % (var, istmp, tp, extra_msg), loc)
else: # type is precise, hold it
typdict[var] = tp
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
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
)
|
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
)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _unify_return_types(self, rettypes):
if rettypes:
unified = self.context.unify_types(*rettypes)
if unified is None or not unified.is_precise():
def check_type(atype):
lst = []
for k, v in self.typevars.items():
if atype == v.type:
lst.append(k)
returns = {}
for x in reversed(lst):
for block in self.func_ir.blocks.values():
for instr in block.find_insts(ir.Return):
value = instr.value
if isinstance(value, ir.Var):
name = value.name
else:
pass
if x == name:
returns[x] = instr
break
interped = ""
for name, offender in returns.items():
loc = getattr(offender, "loc", ir.unknown_loc)
msg = "Return of: IR name '%s', type '%s', location: %s"
interped = msg % (name, atype, loc.strformat())
return interped
problem_str = []
for xtype in rettypes:
problem_str.append(_termcolor.errmsg(check_type(xtype)))
raise TypingError(
"Can't unify return type from the "
"following types: %s"
% ", ".join(sorted(map(str, rettypes)))
+ "\n"
+ "\n".join(problem_str)
)
return unified
else:
# Function without a successful return path
return types.none
|
def _unify_return_types(self, rettypes):
if rettypes:
unified = self.context.unify_types(*rettypes)
if unified is None or not unified.is_precise():
def check_type(atype):
lst = []
for k, v in self.typevars.items():
if atype == v.type:
lst.append(k)
returns = {}
for x in reversed(lst):
for block in self.func_ir.blocks.values():
for instr in block.find_insts(ir.Return):
value = instr.value
if isinstance(value, ir.Var):
name = value.name
else:
pass
if x == name:
returns[x] = instr
break
for name, offender in returns.items():
loc = getattr(offender, "loc", ir.unknown_loc)
msg = "Return of: IR name '%s', type '%s', location: %s"
interped = msg % (name, atype, loc.strformat())
return interped
problem_str = []
for xtype in rettypes:
problem_str.append(_termcolor.errmsg(check_type(xtype)))
raise TypingError(
"Can't unify return type from the "
"following types: %s"
% ", ".join(sorted(map(str, rettypes)))
+ "\n"
+ "\n".join(problem_str)
)
return unified
else:
# Function without a successful return path
return types.none
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def check_type(atype):
lst = []
for k, v in self.typevars.items():
if atype == v.type:
lst.append(k)
returns = {}
for x in reversed(lst):
for block in self.func_ir.blocks.values():
for instr in block.find_insts(ir.Return):
value = instr.value
if isinstance(value, ir.Var):
name = value.name
else:
pass
if x == name:
returns[x] = instr
break
interped = ""
for name, offender in returns.items():
loc = getattr(offender, "loc", ir.unknown_loc)
msg = "Return of: IR name '%s', type '%s', location: %s"
interped = msg % (name, atype, loc.strformat())
return interped
|
def check_type(atype):
lst = []
for k, v in self.typevars.items():
if atype == v.type:
lst.append(k)
returns = {}
for x in reversed(lst):
for block in self.func_ir.blocks.values():
for instr in block.find_insts(ir.Return):
value = instr.value
if isinstance(value, ir.Var):
name = value.name
else:
pass
if x == name:
returns[x] = instr
break
for name, offender in returns.items():
loc = getattr(offender, "loc", ir.unknown_loc)
msg = "Return of: IR name '%s', type '%s', location: %s"
interped = msg % (name, atype, loc.strformat())
return interped
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def constrain_statement(self, inst):
if isinstance(inst, ir.Assign):
self.typeof_assign(inst)
elif isinstance(inst, ir.SetItem):
self.typeof_setitem(inst)
elif isinstance(inst, ir.StaticSetItem):
self.typeof_static_setitem(inst)
elif isinstance(inst, ir.DelItem):
self.typeof_delitem(inst)
elif isinstance(inst, ir.SetAttr):
self.typeof_setattr(inst)
elif isinstance(inst, ir.Print):
self.typeof_print(inst)
elif isinstance(inst, ir.StoreMap):
self.typeof_storemap(inst)
elif isinstance(inst, (ir.Jump, ir.Branch, ir.Return, ir.Del)):
pass
elif isinstance(inst, (ir.StaticRaise, ir.StaticTryRaise)):
pass
elif type(inst) in typeinfer_extensions:
# let external calls handle stmt if type matches
f = typeinfer_extensions[type(inst)]
f(inst, self)
else:
msg = "Unsupported constraint encountered: %s" % inst
raise UnsupportedError(msg, loc=inst.loc)
|
def constrain_statement(self, inst):
if isinstance(inst, ir.Assign):
self.typeof_assign(inst)
elif isinstance(inst, ir.SetItem):
self.typeof_setitem(inst)
elif isinstance(inst, ir.StaticSetItem):
self.typeof_static_setitem(inst)
elif isinstance(inst, ir.DelItem):
self.typeof_delitem(inst)
elif isinstance(inst, ir.SetAttr):
self.typeof_setattr(inst)
elif isinstance(inst, ir.Print):
self.typeof_print(inst)
elif isinstance(inst, ir.StoreMap):
self.typeof_storemap(inst)
elif isinstance(inst, (ir.Jump, ir.Branch, ir.Return, ir.Del)):
pass
elif isinstance(inst, ir.StaticRaise):
pass
elif type(inst) in typeinfer_extensions:
# let external calls handle stmt if type matches
f = typeinfer_extensions[type(inst)]
f(inst, self)
else:
msg = "Unsupported constraint encountered: %s" % inst
raise UnsupportedError(msg, loc=inst.loc)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def typeof_expr(self, inst, target, expr):
if expr.op == "call":
if isinstance(expr.func, ir.Intrinsic):
sig = expr.func.type
self.add_type(target.name, sig.return_type, loc=inst.loc)
self.add_calltype(expr, sig)
else:
self.typeof_call(inst, target, expr)
elif expr.op in ("getiter", "iternext"):
self.typeof_intrinsic_call(inst, target, expr.op, expr.value)
elif expr.op == "exhaust_iter":
constraint = ExhaustIterConstraint(
target.name, count=expr.count, iterator=expr.value, loc=expr.loc
)
self.constraints.append(constraint)
elif expr.op == "pair_first":
constraint = PairFirstConstraint(target.name, pair=expr.value, loc=expr.loc)
self.constraints.append(constraint)
elif expr.op == "pair_second":
constraint = PairSecondConstraint(target.name, pair=expr.value, loc=expr.loc)
self.constraints.append(constraint)
elif expr.op == "binop":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.lhs, expr.rhs)
elif expr.op == "inplace_binop":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.lhs, expr.rhs)
elif expr.op == "unary":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.value)
elif expr.op == "static_getitem":
constraint = StaticGetItemConstraint(
target.name,
value=expr.value,
index=expr.index,
index_var=expr.index_var,
loc=expr.loc,
)
self.constraints.append(constraint)
self.calls.append((inst.value, constraint))
elif expr.op == "getitem":
self.typeof_intrinsic_call(
inst,
target,
operator.getitem,
expr.value,
expr.index,
)
elif expr.op == "typed_getitem":
constraint = TypedGetItemConstraint(
target.name,
value=expr.value,
dtype=expr.dtype,
index=expr.index,
loc=expr.loc,
)
self.constraints.append(constraint)
self.calls.append((inst.value, constraint))
elif expr.op == "getattr":
constraint = GetAttrConstraint(
target.name, attr=expr.attr, value=expr.value, loc=inst.loc, inst=inst
)
self.constraints.append(constraint)
elif expr.op == "build_tuple":
constraint = BuildTupleConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_list":
constraint = BuildListConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_set":
constraint = BuildSetConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_map":
constraint = BuildMapConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "cast":
self.constraints.append(
Propagate(dst=target.name, src=expr.value.name, loc=inst.loc)
)
elif expr.op == "make_function":
self.lock_type(
target.name,
types.MakeFunctionLiteral(expr),
loc=inst.loc,
literal_value=expr,
)
else:
msg = "Unsupported op-code encountered: %s" % expr
raise UnsupportedError(msg, loc=inst.loc)
|
def typeof_expr(self, inst, target, expr):
if expr.op == "call":
if isinstance(expr.func, ir.Intrinsic):
sig = expr.func.type
self.add_type(target.name, sig.return_type, loc=inst.loc)
self.add_calltype(expr, sig)
else:
self.typeof_call(inst, target, expr)
elif expr.op in ("getiter", "iternext"):
self.typeof_intrinsic_call(inst, target, expr.op, expr.value)
elif expr.op == "exhaust_iter":
constraint = ExhaustIterConstraint(
target.name, count=expr.count, iterator=expr.value, loc=expr.loc
)
self.constraints.append(constraint)
elif expr.op == "pair_first":
constraint = PairFirstConstraint(target.name, pair=expr.value, loc=expr.loc)
self.constraints.append(constraint)
elif expr.op == "pair_second":
constraint = PairSecondConstraint(target.name, pair=expr.value, loc=expr.loc)
self.constraints.append(constraint)
elif expr.op == "binop":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.lhs, expr.rhs)
elif expr.op == "inplace_binop":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.lhs, expr.rhs)
elif expr.op == "unary":
self.typeof_intrinsic_call(inst, target, expr.fn, expr.value)
elif expr.op == "static_getitem":
constraint = StaticGetItemConstraint(
target.name,
value=expr.value,
index=expr.index,
index_var=expr.index_var,
loc=expr.loc,
)
self.constraints.append(constraint)
self.calls.append((inst.value, constraint))
elif expr.op == "getitem":
self.typeof_intrinsic_call(
inst,
target,
operator.getitem,
expr.value,
expr.index,
)
elif expr.op == "getattr":
constraint = GetAttrConstraint(
target.name, attr=expr.attr, value=expr.value, loc=inst.loc, inst=inst
)
self.constraints.append(constraint)
elif expr.op == "build_tuple":
constraint = BuildTupleConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_list":
constraint = BuildListConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_set":
constraint = BuildSetConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "build_map":
constraint = BuildMapConstraint(target.name, items=expr.items, loc=inst.loc)
self.constraints.append(constraint)
elif expr.op == "cast":
self.constraints.append(
Propagate(dst=target.name, src=expr.value.name, loc=inst.loc)
)
elif expr.op == "make_function":
self.lock_type(
target.name,
types.MakeFunctionLiteral(expr),
loc=inst.loc,
literal_value=expr,
)
else:
msg = "Unsupported op-code encountered: %s" % expr
raise UnsupportedError(msg, loc=inst.loc)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __init__(self, dtype, count):
self.dtype = dtype
self.count = count
name = "%s(%s x %d)" % (
self.__class__.__name__,
dtype,
count,
)
super(UniTuple, self).__init__(name)
|
def __init__(self, dtype, count):
self.dtype = dtype
self.count = count
name = "tuple(%s x %d)" % (dtype, count)
super(UniTuple, self).__init__(name)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def __init__(self, types):
self.types = tuple(types)
self.count = len(self.types)
self.dtype = UnionType(types)
name = "%s(%s)" % (
self.__class__.__name__,
", ".join(str(i) for i in self.types),
)
super(Tuple, self).__init__(name)
|
def __init__(self, types):
self.types = tuple(types)
self.count = len(self.types)
name = "(%s)" % ", ".join(str(i) for i in self.types)
super(Tuple, self).__init__(name)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def get_call_type(self, context, args, kws):
failures = _ResolutionFailures(context, self, args, kws)
for temp_cls in self.templates:
temp = temp_cls(context)
for uselit in [True, False]:
try:
if uselit:
sig = temp.apply(args, kws)
else:
nolitargs = tuple([unliteral(a) for a in args])
nolitkws = {k: unliteral(v) for k, v in kws.items()}
sig = temp.apply(nolitargs, nolitkws)
except Exception as e:
sig = None
failures.add_error(temp_cls, e)
else:
if sig is not None:
self._impl_keys[sig.args] = temp.get_impl_key(sig)
return sig
else:
haslit = "" if uselit else "out"
msg = "All templates rejected with%s literals." % haslit
failures.add_error(temp_cls, msg)
if len(failures) == 0:
raise AssertionError(
"Internal Error. "
"Function resolution ended with no failures "
"or successful signature"
)
failures.raise_error()
|
def get_call_type(self, context, args, kws):
failures = _ResolutionFailures(context, self, args, kws)
for temp_cls in self.templates:
temp = temp_cls(context)
for uselit in [True, False]:
try:
if uselit:
sig = temp.apply(args, kws)
else:
nolitargs = tuple([unliteral(a) for a in args])
nolitkws = {k: unliteral(v) for k, v in kws.items()}
sig = temp.apply(nolitargs, nolitkws)
except Exception as e:
sig = None
failures.add_error(temp_cls, e)
else:
if sig is not None:
self._impl_keys[sig.args] = temp.get_impl_key(sig)
return sig
else:
haslit = "" if uselit else "out"
msg = "All templates rejected with%s literals." % haslit
failures.add_error(temp_cls, msg)
if len(failures) == 0:
raise AssertionError(
"Internal Error. "
"Function resolution ended with no failures "
"or successfull signature"
)
failures.raise_error()
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def resolve_getattr(self, typ, attr):
"""
Resolve getting the attribute *attr* (a string) on the Numba type.
The attribute's type is returned, or None if resolution failed.
"""
def core(typ):
out = self.find_matching_getattr_template(typ, attr)
if out:
return out["return_type"]
out = core(typ)
if out is not None:
return out
# Try again without literals
out = core(types.unliteral(typ))
if out is not None:
return out
if isinstance(typ, types.Module):
attrty = self.resolve_module_constants(typ, attr)
if attrty is not None:
return attrty
|
def resolve_getattr(self, typ, attr):
"""
Resolve getting the attribute *attr* (a string) on the Numba type.
The attribute's type is returned, or None if resolution failed.
"""
def core(typ):
for attrinfo in self._get_attribute_templates(typ):
ret = attrinfo.resolve(typ, attr)
if ret is not None:
return ret
out = core(typ)
if out is not None:
return out
# Try again without literals
out = core(types.unliteral(typ))
if out is not None:
return out
if isinstance(typ, types.Module):
attrty = self.resolve_module_constants(typ, attr)
if attrty is not None:
return attrty
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def core(typ):
out = self.find_matching_getattr_template(typ, attr)
if out:
return out["return_type"]
|
def core(typ):
for attrinfo in self._get_attribute_templates(typ):
ret = attrinfo.resolve(typ, attr)
if ret is not None:
return ret
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
def _load_builtins(self):
# Initialize declarations
from . import builtins, arraydecl, npdatetime # noqa: F401
from . import ctypes_utils, bufproto # noqa: F401
from numba.unsafe import eh # noqa: F401
self.install_registry(templates.builtin_registry)
|
def _load_builtins(self):
# Initialize declarations
from . import builtins, arraydecl, npdatetime # noqa: F401
from . import ctypes_utils, bufproto # noqa: F401
self.install_registry(templates.builtin_registry)
|
https://github.com/numba/numba/issues/4944
|
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)
|
IndexError
|
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