after_merge
stringlengths 28
79.6k
| before_merge
stringlengths 20
79.6k
| url
stringlengths 38
71
| full_traceback
stringlengths 43
922k
| traceback_type
stringclasses 555
values |
|---|---|---|---|---|
def _make_list(itemty, allocated=DEFAULT_ALLOCATED):
return listobject._as_meminfo(listobject.new_list(itemty, allocated=allocated))
|
def _make_list(itemty, allocated=0):
return listobject._as_meminfo(listobject.new_list(itemty, allocated=allocated))
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def _allocated(self):
if not self._typed:
return DEFAULT_ALLOCATED
else:
return _allocated(self)
|
def _allocated(self):
if not self._typed:
return 0
else:
return _allocated(self)
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def __new__(cls, lsttype=None, meminfo=None, allocated=DEFAULT_ALLOCATED):
if config.DISABLE_JIT:
return list.__new__(list)
else:
return object.__new__(cls)
|
def __new__(cls, lsttype=None, meminfo=None, allocated=None):
if config.DISABLE_JIT:
return list.__new__(list)
else:
return object.__new__(cls)
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def empty_list(cls, item_type, allocated=DEFAULT_ALLOCATED):
"""Create a new empty List.
Parameters
----------
item_type: Numba type
type of the list item.
allocated: int
number of items to pre-allocate
"""
if config.DISABLE_JIT:
return list()
else:
return cls(lsttype=ListType(item_type), allocated=allocated)
|
def empty_list(cls, item_type, allocated=0):
"""Create a new empty List.
Parameters
----------
item_type: Numba type
type of the list item.
allocated: int
number of items to pre-allocate
"""
if config.DISABLE_JIT:
return list()
else:
return cls(lsttype=ListType(item_type), allocated=allocated)
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def _parse_arg(self, lsttype, meminfo=None, allocated=DEFAULT_ALLOCATED):
if not isinstance(lsttype, ListType):
raise TypeError("*lsttype* must be a ListType")
if meminfo is not None:
opaque = meminfo
else:
opaque = _make_list(lsttype.item_type, allocated=allocated)
return lsttype, opaque
|
def _parse_arg(self, lsttype, meminfo=None, allocated=0):
if not isinstance(lsttype, ListType):
raise TypeError("*lsttype* must be a ListType")
if meminfo is not None:
opaque = meminfo
else:
opaque = _make_list(lsttype.item_type, allocated=allocated)
return lsttype, opaque
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def typedlist_empty(cls, item_type, allocated=DEFAULT_ALLOCATED):
if cls.instance_type is not ListType:
return
def impl(cls, item_type, allocated=DEFAULT_ALLOCATED):
return listobject.new_list(item_type, allocated=allocated)
return impl
|
def typedlist_empty(cls, item_type):
if cls.instance_type is not ListType:
return
def impl(cls, item_type):
return listobject.new_list(item_type)
return impl
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
def impl(cls, item_type, allocated=DEFAULT_ALLOCATED):
return listobject.new_list(item_type, allocated=allocated)
|
def impl(cls, item_type):
return listobject.new_list(item_type)
|
https://github.com/numba/numba/issues/5355
|
======================================================================
ERROR: test_numba_typed_list_allocated (sdc.tests.test_series.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sdc\tests\test_series.py
", line 6817, in test_numba_typed_list_allocated
print(jitted())
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\disp
atcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\numba\six.
py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function typedlist_empty at 0x0000015A9C481550>) with argument(
s) of type(s): (typeref[<class 'numba.types.containers.ListType'>], class(int64), int64)
* parameterized
In definition 0:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
In definition 1:
TypeError: typedlist_empty() takes 2 positional arguments but 3 were given
raised from c:\users\akozlov\appdata\local\continuum\anaconda3\numba_master\numba\nu
mba\typing\templates.py:539
This error is usually caused by passing an argument of a type that is unsupported by the
named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.types.abstract.TypeRef'>
, 'empty_list') for typeref[<class 'numba.types.containers.ListType'>])
[2] During: typing of call at C:\Users\akozlov\AppData\Local\Continuum\anaconda3\hpat\sd
c\tests\test_series.py (6813)
File "sdc\tests\test_series.py", line 6813:
def test_impl():
<source elided>
# problem in overload of empty_list in typedlist.py
alloc_list = List.empty_list(types.int64, 10)
^
----------------------------------------------------------------------
Ran 1 test in 0.075s
FAILED (errors=1)
|
numba.errors.TypingError
|
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")
_check_for_none_typed(l, "extend")
def select_impl():
if isinstance(iterable, types.ListType):
def impl(l, iterable):
if not l._is_mutable():
raise ValueError("list is immutable")
# 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
elif isinstance(iterable, types.UnicodeType):
ty = iterable
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")
_check_for_none_typed(l, "extend")
def select_impl():
if isinstance(iterable, types.ListType):
def impl(l, iterable):
if not l._is_mutable():
raise ValueError("list is immutable")
# 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()
|
https://github.com/numba/numba/issues/5289
|
Traceback (most recent call last):
File "/Users/vhaenel/git/numba/numba/core/typeinfer.py", line 149, in propagate
constraint(typeinfer)
File "/Users/vhaenel/git/numba/numba/core/typeinfer.py", line 486, in __call__
self.resolve(typeinfer, typevars, fnty)
File "/Users/vhaenel/git/numba/numba/core/typeinfer.py", line 506, in resolve
sig = typeinfer.resolve_call(fnty, pos_args, kw_args)
File "/Users/vhaenel/git/numba/numba/core/typeinfer.py", line 1440, in resolve_call
return self.context.resolve_function_type(fnty, pos_args, kw_args)
File "/Users/vhaenel/git/numba/numba/core/typing/context.py", line 214, in resolve_function_type
raise last_exception
File "/Users/vhaenel/git/numba/numba/core/typing/context.py", line 197, in resolve_function_type
res = self._resolve_user_function_type(func, args, kws)
File "/Users/vhaenel/git/numba/numba/core/typing/context.py", line 249, in _resolve_user_function_type
return func.get_call_type(self, args, kws)
File "/Users/vhaenel/git/numba/numba/core/types/functions.py", line 215, in get_call_type
out = template.apply(args, kws)
File "/Users/vhaenel/git/numba/numba/core/typing/templates.py", line 246, in apply
sig = generic(args, kws)
File "/Users/vhaenel/git/numba/numba/core/typing/templates.py", line 802, in generic
sig = self._get_signature(self.context, fnty, args, kws)
File "/Users/vhaenel/git/numba/numba/core/typing/templates.py", line 753, in _get_signature
sig = fnty.get_call_type(typingctx, args, kws)
File "/Users/vhaenel/git/numba/numba/core/types/functions.py", line 148, in get_call_type
failures.raise_error()
File "/Users/vhaenel/git/numba/numba/core/types/functions.py", line 77, in raise_error
raise errors.TypingError(self.format())
numba.core.errors.TypingError: Invalid use of Function(<function impl_extend at 0x117b72b80>) with argument(s) of type(s): (ListType[undefined], unicode_type)
* parameterized
In definition 0:
TypingError: unable to extend list, iterable is missing either *dtype*, *item_type* or *yield_type*.
raised from /Users/vhaenel/git/numba/numba/typed/listobject.py:1053
In definition 1:
TypingError: unable to extend list, iterable is missing either *dtype*, *item_type* or *yield_type*.
raised from /Users/vhaenel/git/numba/numba/typed/listobject.py:1053
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.core.types.containers.ListType'>, 'extend') for ListType[undefined])
[2] During: typing of call at foo/foo134.py (8)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "foo/foo134.py", line 12, in <module>
print(foo())
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 342, in error_rewrite
raise e
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/Users/vhaenel/git/numba/numba/core/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 81, in compile
raise retval
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/Users/vhaenel/git/numba/numba/core/dispatcher.py", line 104, in _compile_core
cres = compiler.compile_extra(self.targetdescr.typing_context,
File "/Users/vhaenel/git/numba/numba/core/compiler.py", line 548, in compile_extra
return pipeline.compile_extra(func)
File "/Users/vhaenel/git/numba/numba/core/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/Users/vhaenel/git/numba/numba/core/compiler.py", line 390, in _compile_bytecode
return self._compile_core()
File "/Users/vhaenel/git/numba/numba/core/compiler.py", line 370, in _compile_core
raise e
File "/Users/vhaenel/git/numba/numba/core/compiler.py", line 361, in _compile_core
pm.run(self.state)
File "/Users/vhaenel/git/numba/numba/core/compiler_machinery.py", line 335, in run
raise patched_exception
File "/Users/vhaenel/git/numba/numba/core/compiler_machinery.py", line 326, in run
self._runPass(idx, pass_inst, state)
File "/Users/vhaenel/git/numba/numba/core/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/Users/vhaenel/git/numba/numba/core/compiler_machinery.py", line 290, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/Users/vhaenel/git/numba/numba/core/compiler_machinery.py", line 263, in check
mangled = func(compiler_state)
File "/Users/vhaenel/git/numba/numba/core/typed_passes.py", line 89, in run_pass
typemap, return_type, calltypes = type_inference_stage(
File "/Users/vhaenel/git/numba/numba/core/typed_passes.py", line 67, in type_inference_stage
infer.propagate(raise_errors=raise_errors)
File "/Users/vhaenel/git/numba/numba/core/typeinfer.py", line 985, in propagate
raise errors[0]
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function impl_extend at 0x117b72b80>) with argument(s) of type(s): (ListType[undefined], unicode_type)
* parameterized
In definition 0:
TypingError: unable to extend list, iterable is missing either *dtype*, *item_type* or *yield_type*.
raised from /Users/vhaenel/git/numba/numba/typed/listobject.py:1053
In definition 1:
TypingError: unable to extend list, iterable is missing either *dtype*, *item_type* or *yield_type*.
raised from /Users/vhaenel/git/numba/numba/typed/listobject.py:1053
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: resolving callee type: BoundFunction((<class 'numba.core.types.containers.ListType'>, 'extend') for ListType[undefined])
[2] During: typing of call at foo/foo134.py (8)
File "foo/foo134.py", line 8:
def foo():
<source elided>
l = List()
l.extend("abc")
|
numba.core.errors.TypingError
|
def _lower_parfor_parallel(lowerer, parfor):
"""Lowerer that handles LLVM code generation for parfor.
This function lowers a parfor IR node to LLVM.
The general approach is as follows:
1) The code from the parfor's init block is lowered normally
in the context of the current function.
2) The body of the parfor is transformed into a gufunc function.
3) Code is inserted into the main function that calls do_scheduling
to divide the iteration space for each thread, allocates
reduction arrays, calls the gufunc function, and then invokes
the reduction function across the reduction arrays to produce
the final reduction values.
"""
from numba.np.ufunc.parallel import get_thread_count
ensure_parallel_support()
typingctx = lowerer.context.typing_context
targetctx = lowerer.context
# We copy the typemap here because for race condition variable we'll
# update their type to array so they can be updated by the gufunc.
orig_typemap = lowerer.fndesc.typemap
# replace original typemap with copy and restore the original at the end.
lowerer.fndesc.typemap = copy.copy(orig_typemap)
typemap = lowerer.fndesc.typemap
varmap = lowerer.varmap
if config.DEBUG_ARRAY_OPT:
print("_lower_parfor_parallel")
parfor.dump()
loc = parfor.init_block.loc
scope = parfor.init_block.scope
# produce instructions for init_block
if config.DEBUG_ARRAY_OPT:
print("init_block = ", parfor.init_block, " ", type(parfor.init_block))
for instr in parfor.init_block.body:
if config.DEBUG_ARRAY_OPT:
print("lower init_block instr = ", instr)
lowerer.lower_inst(instr)
for racevar in parfor.races:
if racevar not in varmap:
rvtyp = typemap[racevar]
rv = ir.Var(scope, racevar, loc)
lowerer._alloca_var(rv.name, rvtyp)
alias_map = {}
arg_aliases = {}
numba.parfors.parfor.find_potential_aliases_parfor(
parfor, parfor.params, typemap, lowerer.func_ir, alias_map, arg_aliases
)
if config.DEBUG_ARRAY_OPT:
print("alias_map", alias_map)
print("arg_aliases", arg_aliases)
# run get_parfor_outputs() and get_parfor_reductions() before gufunc creation
# since Jumps are modified so CFG of loop_body dict will become invalid
assert parfor.params != None
parfor_output_arrays = numba.parfors.parfor.get_parfor_outputs(
parfor, parfor.params
)
parfor_redvars, parfor_reddict = numba.parfors.parfor.get_parfor_reductions(
lowerer.func_ir, parfor, parfor.params, lowerer.fndesc.calltypes
)
# init reduction array allocation here.
nredvars = len(parfor_redvars)
redarrs = {}
if nredvars > 0:
# reduction arrays outer dimension equal to thread count
thread_count = get_thread_count()
scope = parfor.init_block.scope
loc = parfor.init_block.loc
# For each reduction variable...
for i in range(nredvars):
redvar_typ = lowerer.fndesc.typemap[parfor_redvars[i]]
redvar = ir.Var(scope, parfor_redvars[i], loc)
redarrvar_typ = redtyp_to_redarraytype(redvar_typ)
reddtype = redarrvar_typ.dtype
if config.DEBUG_ARRAY_OPT:
print(
"redvar_typ",
redvar_typ,
redarrvar_typ,
reddtype,
types.DType(reddtype),
)
# If this is reduction over an array,
# the reduction array has just one added per-worker dimension.
if isinstance(redvar_typ, types.npytypes.Array):
redarrdim = redvar_typ.ndim + 1
else:
redarrdim = 1
# Reduction array is created and initialized to the initial reduction value.
# First create a var for the numpy empty ufunc.
empty_func = ir.Var(scope, mk_unique_var("empty_func"), loc)
ff_fnty = get_np_ufunc_typ(np.empty)
ff_sig = typingctx.resolve_function_type(
ff_fnty,
(types.UniTuple(types.intp, redarrdim), types.DType(reddtype)),
{},
)
typemap[empty_func.name] = ff_fnty
empty_assign = ir.Assign(
ir.Global("empty", np.empty, loc=loc), empty_func, loc
)
lowerer.lower_inst(empty_assign)
# Create var for outer dimension size of reduction array equal to number of threads.
num_threads_var = ir.Var(scope, mk_unique_var("num_threads"), loc)
num_threads_assign = ir.Assign(
ir.Const(thread_count, loc), num_threads_var, loc
)
typemap[num_threads_var.name] = types.intp
lowerer.lower_inst(num_threads_assign)
# Empty call takes tuple of sizes. Create here and fill in outer dimension (num threads).
size_var = ir.Var(scope, mk_unique_var("tuple_size_var"), loc)
typemap[size_var.name] = types.UniTuple(types.intp, redarrdim)
size_var_list = [num_threads_var]
# If this is a reduction over an array...
if isinstance(redvar_typ, types.npytypes.Array):
# Add code to get the shape of the array being reduced over.
redshape_var = ir.Var(scope, mk_unique_var("redarr_shape"), loc)
typemap[redshape_var.name] = types.UniTuple(types.intp, redvar_typ.ndim)
redshape_getattr = ir.Expr.getattr(redvar, "shape", loc)
redshape_assign = ir.Assign(redshape_getattr, redshape_var, loc)
lowerer.lower_inst(redshape_assign)
# Add the dimension sizes of the array being reduced over to the tuple of sizes pass to empty.
for j in range(redvar_typ.ndim):
onedimvar = ir.Var(scope, mk_unique_var("redshapeonedim"), loc)
onedimgetitem = ir.Expr.static_getitem(redshape_var, j, None, loc)
typemap[onedimvar.name] = types.intp
onedimassign = ir.Assign(onedimgetitem, onedimvar, loc)
lowerer.lower_inst(onedimassign)
size_var_list += [onedimvar]
size_call = ir.Expr.build_tuple(size_var_list, loc)
size_assign = ir.Assign(size_call, size_var, loc)
lowerer.lower_inst(size_assign)
# Add call to empty passing the size var tuple.
empty_call = ir.Expr.call(empty_func, [size_var], {}, loc=loc)
redarr_var = ir.Var(scope, mk_unique_var("redarr"), loc)
typemap[redarr_var.name] = redarrvar_typ
empty_call_assign = ir.Assign(empty_call, redarr_var, loc)
lowerer.fndesc.calltypes[empty_call] = ff_sig
lowerer.lower_inst(empty_call_assign)
# Remember mapping of original reduction array to the newly created per-worker reduction array.
redarrs[redvar.name] = redarr_var
init_val = parfor_reddict[parfor_redvars[i]][0]
if init_val != None:
if isinstance(redvar_typ, types.npytypes.Array):
# Create an array of identity values for the reduction.
# First, create a variable for np.full.
full_func = ir.Var(scope, mk_unique_var("full_func"), loc)
full_fnty = get_np_ufunc_typ(np.full)
full_sig = typingctx.resolve_function_type(
full_fnty,
(
types.UniTuple(types.intp, redvar_typ.ndim),
reddtype,
types.DType(reddtype),
),
{},
)
typemap[full_func.name] = full_fnty
full_assign = ir.Assign(
ir.Global("full", np.full, loc=loc), full_func, loc
)
lowerer.lower_inst(full_assign)
# Then create a var with the identify value.
init_val_var = ir.Var(scope, mk_unique_var("init_val"), loc)
init_val_assign = ir.Assign(
ir.Const(init_val, loc), init_val_var, loc
)
typemap[init_val_var.name] = reddtype
lowerer.lower_inst(init_val_assign)
# Then, call np.full with the shape of the reduction array and the identity value.
full_call = ir.Expr.call(
full_func, [redshape_var, init_val_var], {}, loc=loc
)
lowerer.fndesc.calltypes[full_call] = full_sig
redtoset = ir.Var(scope, mk_unique_var("redtoset"), loc)
redtoset_assign = ir.Assign(full_call, redtoset, loc)
typemap[redtoset.name] = redvar_typ
lowerer.lower_inst(redtoset_assign)
else:
redtoset = ir.Var(scope, mk_unique_var("redtoset"), loc)
redtoset_assign = ir.Assign(ir.Const(init_val, loc), redtoset, loc)
typemap[redtoset.name] = reddtype
lowerer.lower_inst(redtoset_assign)
else:
redtoset = redvar
# For each thread, initialize the per-worker reduction array to the current reduction array value.
for j in range(get_thread_count()):
index_var = ir.Var(scope, mk_unique_var("index_var"), loc)
index_var_assign = ir.Assign(ir.Const(j, loc), index_var, loc)
typemap[index_var.name] = types.uintp
lowerer.lower_inst(index_var_assign)
redsetitem = ir.SetItem(redarr_var, index_var, redtoset, loc)
lowerer.fndesc.calltypes[redsetitem] = signature(
types.none,
typemap[redarr_var.name],
typemap[index_var.name],
redvar_typ,
)
lowerer.lower_inst(redsetitem)
# compile parfor body as a separate function to be used with GUFuncWrapper
flags = copy.copy(parfor.flags)
flags.set("error_model", "numpy")
# Can't get here unless flags.set('auto_parallel', ParallelOptions(True))
index_var_typ = typemap[parfor.loop_nests[0].index_variable.name]
# index variables should have the same type, check rest of indices
for l in parfor.loop_nests[1:]:
assert typemap[l.index_variable.name] == index_var_typ
numba.parfors.parfor.sequential_parfor_lowering = True
try:
func, func_args, func_sig, redargstartdim, func_arg_types = (
_create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
{},
bool(alias_map),
index_var_typ,
parfor.races,
)
)
finally:
numba.parfors.parfor.sequential_parfor_lowering = False
# get the shape signature
func_args = ["sched"] + func_args
num_reductions = len(parfor_redvars)
num_inputs = len(func_args) - len(parfor_output_arrays) - num_reductions
if config.DEBUG_ARRAY_OPT:
print("func_args = ", func_args)
print("num_inputs = ", num_inputs)
print("parfor_outputs = ", parfor_output_arrays)
print("parfor_redvars = ", parfor_redvars)
print("num_reductions = ", num_reductions)
gu_signature = _create_shape_signature(
parfor.get_shape_classes,
num_inputs,
num_reductions,
func_args,
redargstartdim,
func_sig,
parfor.races,
typemap,
)
if config.DEBUG_ARRAY_OPT:
print("gu_signature = ", gu_signature)
# call the func in parallel by wrapping it with ParallelGUFuncBuilder
loop_ranges = [(l.start, l.stop, l.step) for l in parfor.loop_nests]
if config.DEBUG_ARRAY_OPT:
print("loop_nests = ", parfor.loop_nests)
print("loop_ranges = ", loop_ranges)
call_parallel_gufunc(
lowerer,
func,
gu_signature,
func_sig,
func_args,
func_arg_types,
loop_ranges,
parfor_redvars,
parfor_reddict,
redarrs,
parfor.init_block,
index_var_typ,
parfor.races,
)
if config.DEBUG_ARRAY_OPT:
sys.stdout.flush()
if nredvars > 0:
# Perform the final reduction across the reduction array created above.
thread_count = get_thread_count()
scope = parfor.init_block.scope
loc = parfor.init_block.loc
# For each reduction variable...
for i in range(nredvars):
name = parfor_redvars[i]
redarr = redarrs[name]
redvar_typ = lowerer.fndesc.typemap[name]
if config.DEBUG_ARRAY_OPT:
print("post-gufunc reduction:", name, redarr, redvar_typ)
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(args=[lhs, redarr], vararg=None, loc=loc)
lowerer.fndesc.calltypes[res_print] = signature(
types.none, typemap[lhs.name], typemap[redarr.name]
)
print("res_print", res_print)
lowerer.lower_inst(res_print)
# For each element in the reduction array created above.
for j in range(get_thread_count()):
# Create index var to access that element.
index_var = ir.Var(scope, mk_unique_var("index_var"), loc)
index_var_assign = ir.Assign(ir.Const(j, loc), index_var, loc)
typemap[index_var.name] = types.uintp
lowerer.lower_inst(index_var_assign)
# Read that element from the array into oneelem.
oneelem = ir.Var(scope, mk_unique_var("redelem"), loc)
oneelemgetitem = ir.Expr.getitem(redarr, index_var, loc)
typemap[oneelem.name] = redvar_typ
lowerer.fndesc.calltypes[oneelemgetitem] = signature(
redvar_typ, typemap[redarr.name], typemap[index_var.name]
)
oneelemassign = ir.Assign(oneelemgetitem, oneelem, loc)
lowerer.lower_inst(oneelemassign)
init_var = ir.Var(scope, name + "#init", loc)
init_assign = ir.Assign(oneelem, init_var, loc)
if name + "#init" not in typemap:
typemap[init_var.name] = redvar_typ
lowerer.lower_inst(init_assign)
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print1 for thread " + str(j) + ":"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc),
target=lhs,
loc=loc,
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(
args=[
lhs,
index_var,
oneelem,
init_var,
ir.Var(scope, name, loc),
],
vararg=None,
loc=loc,
)
lowerer.fndesc.calltypes[res_print] = signature(
types.none,
typemap[lhs.name],
typemap[index_var.name],
typemap[oneelem.name],
typemap[init_var.name],
typemap[name],
)
print("res_print1", res_print)
lowerer.lower_inst(res_print)
# generate code for combining reduction variable with thread output
for inst in parfor_reddict[name][1]:
# If we have a case where a parfor body has an array reduction like A += B
# and A and B have different data types then the reduction in the parallel
# region will operate on those differeing types. However, here, after the
# parallel region, we are summing across the reduction array and that is
# guaranteed to have the same data type so we need to change the reduction
# nodes so that the right-hand sides have a type equal to the reduction-type
# and therefore the left-hand side.
if isinstance(inst, ir.Assign):
rhs = inst.value
# We probably need to generalize this since it only does substitutions in
# inplace_binops.
if (
isinstance(rhs, ir.Expr)
and rhs.op == "inplace_binop"
and rhs.rhs.name == init_var.name
):
if config.DEBUG_ARRAY_OPT:
print("Adding call to reduction", rhs)
if rhs.fn == operator.isub:
rhs.fn = operator.iadd
rhs.immutable_fn = operator.add
if (
rhs.fn == operator.itruediv
or rhs.fn == operator.ifloordiv
):
rhs.fn = operator.imul
rhs.immutable_fn = operator.mul
if config.DEBUG_ARRAY_OPT:
print("After changing sub to add or div to mul", rhs)
# Get calltype of rhs.
ct = lowerer.fndesc.calltypes[rhs]
assert len(ct.args) == 2
# Create new arg types replace the second arg type with the reduction var type.
ctargs = (ct.args[0], redvar_typ)
# Update the signature of the call.
ct = ct.replace(args=ctargs)
# Remove so we can re-insert since calltypes is unique dict.
lowerer.fndesc.calltypes.pop(rhs)
# Add calltype back in for the expr with updated signature.
lowerer.fndesc.calltypes[rhs] = ct
lowerer.lower_inst(inst)
if isinstance(inst, ir.Assign) and name == inst.target.name:
break
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print2 for thread " + str(j) + ":"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc),
target=lhs,
loc=loc,
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(
args=[
lhs,
index_var,
oneelem,
init_var,
ir.Var(scope, name, loc),
],
vararg=None,
loc=loc,
)
lowerer.fndesc.calltypes[res_print] = signature(
types.none,
typemap[lhs.name],
typemap[index_var.name],
typemap[oneelem.name],
typemap[init_var.name],
typemap[name],
)
print("res_print2", res_print)
lowerer.lower_inst(res_print)
# Cleanup reduction variable
for v in redarrs.values():
lowerer.lower_inst(ir.Del(v.name, loc=loc))
# Restore the original typemap of the function that was replaced temporarily at the
# Beginning of this function.
lowerer.fndesc.typemap = orig_typemap
if config.DEBUG_ARRAY_OPT:
print("_lower_parfor_parallel done")
|
def _lower_parfor_parallel(lowerer, parfor):
"""Lowerer that handles LLVM code generation for parfor.
This function lowers a parfor IR node to LLVM.
The general approach is as follows:
1) The code from the parfor's init block is lowered normally
in the context of the current function.
2) The body of the parfor is transformed into a gufunc function.
3) Code is inserted into the main function that calls do_scheduling
to divide the iteration space for each thread, allocates
reduction arrays, calls the gufunc function, and then invokes
the reduction function across the reduction arrays to produce
the final reduction values.
"""
from numba.np.ufunc.parallel import get_thread_count
ensure_parallel_support()
typingctx = lowerer.context.typing_context
targetctx = lowerer.context
# We copy the typemap here because for race condition variable we'll
# update their type to array so they can be updated by the gufunc.
orig_typemap = lowerer.fndesc.typemap
# replace original typemap with copy and restore the original at the end.
lowerer.fndesc.typemap = copy.copy(orig_typemap)
typemap = lowerer.fndesc.typemap
varmap = lowerer.varmap
if config.DEBUG_ARRAY_OPT:
print("_lower_parfor_parallel")
parfor.dump()
loc = parfor.init_block.loc
scope = parfor.init_block.scope
# produce instructions for init_block
if config.DEBUG_ARRAY_OPT:
print("init_block = ", parfor.init_block, " ", type(parfor.init_block))
for instr in parfor.init_block.body:
if config.DEBUG_ARRAY_OPT:
print("lower init_block instr = ", instr)
lowerer.lower_inst(instr)
for racevar in parfor.races:
if racevar not in varmap:
rvtyp = typemap[racevar]
rv = ir.Var(scope, racevar, loc)
lowerer._alloca_var(rv.name, rvtyp)
alias_map = {}
arg_aliases = {}
numba.parfors.parfor.find_potential_aliases_parfor(
parfor, parfor.params, typemap, lowerer.func_ir, alias_map, arg_aliases
)
if config.DEBUG_ARRAY_OPT:
print("alias_map", alias_map)
print("arg_aliases", arg_aliases)
# run get_parfor_outputs() and get_parfor_reductions() before gufunc creation
# since Jumps are modified so CFG of loop_body dict will become invalid
assert parfor.params != None
parfor_output_arrays = numba.parfors.parfor.get_parfor_outputs(
parfor, parfor.params
)
parfor_redvars, parfor_reddict = numba.parfors.parfor.get_parfor_reductions(
lowerer.func_ir, parfor, parfor.params, lowerer.fndesc.calltypes
)
# init reduction array allocation here.
nredvars = len(parfor_redvars)
redarrs = {}
if nredvars > 0:
# reduction arrays outer dimension equal to thread count
thread_count = get_thread_count()
scope = parfor.init_block.scope
loc = parfor.init_block.loc
# For each reduction variable...
for i in range(nredvars):
redvar_typ = lowerer.fndesc.typemap[parfor_redvars[i]]
redvar = ir.Var(scope, parfor_redvars[i], loc)
redarrvar_typ = redtyp_to_redarraytype(redvar_typ)
reddtype = redarrvar_typ.dtype
if config.DEBUG_ARRAY_OPT:
print(
"redvar_typ",
redvar_typ,
redarrvar_typ,
reddtype,
types.DType(reddtype),
)
# If this is reduction over an array,
# the reduction array has just one added per-worker dimension.
if isinstance(redvar_typ, types.npytypes.Array):
redarrdim = redvar_typ.ndim + 1
else:
redarrdim = 1
# Reduction array is created and initialized to the initial reduction value.
# First create a var for the numpy empty ufunc.
empty_func = ir.Var(scope, mk_unique_var("empty_func"), loc)
ff_fnty = get_np_ufunc_typ(np.empty)
ff_sig = typingctx.resolve_function_type(
ff_fnty,
(types.UniTuple(types.intp, redarrdim), types.DType(reddtype)),
{},
)
typemap[empty_func.name] = ff_fnty
empty_assign = ir.Assign(
ir.Global("empty", np.empty, loc=loc), empty_func, loc
)
lowerer.lower_inst(empty_assign)
# Create var for outer dimension size of reduction array equal to number of threads.
num_threads_var = ir.Var(scope, mk_unique_var("num_threads"), loc)
num_threads_assign = ir.Assign(
ir.Const(thread_count, loc), num_threads_var, loc
)
typemap[num_threads_var.name] = types.intp
lowerer.lower_inst(num_threads_assign)
# Empty call takes tuple of sizes. Create here and fill in outer dimension (num threads).
size_var = ir.Var(scope, mk_unique_var("tuple_size_var"), loc)
typemap[size_var.name] = types.UniTuple(types.intp, redarrdim)
size_var_list = [num_threads_var]
# If this is a reduction over an array...
if isinstance(redvar_typ, types.npytypes.Array):
# Add code to get the shape of the array being reduced over.
redshape_var = ir.Var(scope, mk_unique_var("redarr_shape"), loc)
typemap[redshape_var.name] = types.UniTuple(types.intp, redvar_typ.ndim)
redshape_getattr = ir.Expr.getattr(redvar, "shape", loc)
redshape_assign = ir.Assign(redshape_getattr, redshape_var, loc)
lowerer.lower_inst(redshape_assign)
# Add the dimension sizes of the array being reduced over to the tuple of sizes pass to empty.
for j in range(redvar_typ.ndim):
onedimvar = ir.Var(scope, mk_unique_var("redshapeonedim"), loc)
onedimgetitem = ir.Expr.static_getitem(redshape_var, j, None, loc)
typemap[onedimvar.name] = types.intp
onedimassign = ir.Assign(onedimgetitem, onedimvar, loc)
lowerer.lower_inst(onedimassign)
size_var_list += [onedimvar]
size_call = ir.Expr.build_tuple(size_var_list, loc)
size_assign = ir.Assign(size_call, size_var, loc)
lowerer.lower_inst(size_assign)
# Add call to empty passing the size var tuple.
empty_call = ir.Expr.call(empty_func, [size_var], {}, loc=loc)
redarr_var = ir.Var(scope, mk_unique_var("redarr"), loc)
typemap[redarr_var.name] = redarrvar_typ
empty_call_assign = ir.Assign(empty_call, redarr_var, loc)
lowerer.fndesc.calltypes[empty_call] = ff_sig
lowerer.lower_inst(empty_call_assign)
# Remember mapping of original reduction array to the newly created per-worker reduction array.
redarrs[redvar.name] = redarr_var
init_val = parfor_reddict[parfor_redvars[i]][0]
if init_val != None:
if isinstance(redvar_typ, types.npytypes.Array):
# Create an array of identity values for the reduction.
# First, create a variable for np.full.
full_func = ir.Var(scope, mk_unique_var("full_func"), loc)
full_fnty = get_np_ufunc_typ(np.full)
full_sig = typingctx.resolve_function_type(
full_fnty,
(
types.UniTuple(types.intp, redvar_typ.ndim),
reddtype,
types.DType(reddtype),
),
{},
)
typemap[full_func.name] = full_fnty
full_assign = ir.Assign(
ir.Global("full", np.full, loc=loc), full_func, loc
)
lowerer.lower_inst(full_assign)
# Then create a var with the identify value.
init_val_var = ir.Var(scope, mk_unique_var("init_val"), loc)
init_val_assign = ir.Assign(
ir.Const(init_val, loc), init_val_var, loc
)
typemap[init_val_var.name] = reddtype
lowerer.lower_inst(init_val_assign)
# Then, call np.full with the shape of the reduction array and the identity value.
full_call = ir.Expr.call(
full_func, [redshape_var, init_val_var], {}, loc=loc
)
lowerer.fndesc.calltypes[full_call] = full_sig
redtoset = ir.Var(scope, mk_unique_var("redtoset"), loc)
redtoset_assign = ir.Assign(full_call, redtoset, loc)
typemap[redtoset.name] = redvar_typ
lowerer.lower_inst(redtoset_assign)
else:
redtoset = ir.Var(scope, mk_unique_var("redtoset"), loc)
redtoset_assign = ir.Assign(ir.Const(init_val, loc), redtoset, loc)
typemap[redtoset.name] = reddtype
lowerer.lower_inst(redtoset_assign)
else:
redtoset = redvar
# For each thread, initialize the per-worker reduction array to the current reduction array value.
for j in range(get_thread_count()):
index_var = ir.Var(scope, mk_unique_var("index_var"), loc)
index_var_assign = ir.Assign(ir.Const(j, loc), index_var, loc)
typemap[index_var.name] = types.uintp
lowerer.lower_inst(index_var_assign)
redsetitem = ir.SetItem(redarr_var, index_var, redtoset, loc)
lowerer.fndesc.calltypes[redsetitem] = signature(
types.none,
typemap[redarr_var.name],
typemap[index_var.name],
redvar_typ,
)
lowerer.lower_inst(redsetitem)
# compile parfor body as a separate function to be used with GUFuncWrapper
flags = copy.copy(parfor.flags)
flags.set("error_model", "numpy")
# Can't get here unless flags.set('auto_parallel', ParallelOptions(True))
index_var_typ = typemap[parfor.loop_nests[0].index_variable.name]
# index variables should have the same type, check rest of indices
for l in parfor.loop_nests[1:]:
assert typemap[l.index_variable.name] == index_var_typ
numba.parfors.parfor.sequential_parfor_lowering = True
func, func_args, func_sig, redargstartdim, func_arg_types = (
_create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
{},
bool(alias_map),
index_var_typ,
parfor.races,
)
)
numba.parfors.parfor.sequential_parfor_lowering = False
# get the shape signature
func_args = ["sched"] + func_args
num_reductions = len(parfor_redvars)
num_inputs = len(func_args) - len(parfor_output_arrays) - num_reductions
if config.DEBUG_ARRAY_OPT:
print("func_args = ", func_args)
print("num_inputs = ", num_inputs)
print("parfor_outputs = ", parfor_output_arrays)
print("parfor_redvars = ", parfor_redvars)
print("num_reductions = ", num_reductions)
gu_signature = _create_shape_signature(
parfor.get_shape_classes,
num_inputs,
num_reductions,
func_args,
redargstartdim,
func_sig,
parfor.races,
typemap,
)
if config.DEBUG_ARRAY_OPT:
print("gu_signature = ", gu_signature)
# call the func in parallel by wrapping it with ParallelGUFuncBuilder
loop_ranges = [(l.start, l.stop, l.step) for l in parfor.loop_nests]
if config.DEBUG_ARRAY_OPT:
print("loop_nests = ", parfor.loop_nests)
print("loop_ranges = ", loop_ranges)
call_parallel_gufunc(
lowerer,
func,
gu_signature,
func_sig,
func_args,
func_arg_types,
loop_ranges,
parfor_redvars,
parfor_reddict,
redarrs,
parfor.init_block,
index_var_typ,
parfor.races,
)
if config.DEBUG_ARRAY_OPT:
sys.stdout.flush()
if nredvars > 0:
# Perform the final reduction across the reduction array created above.
thread_count = get_thread_count()
scope = parfor.init_block.scope
loc = parfor.init_block.loc
# For each reduction variable...
for i in range(nredvars):
name = parfor_redvars[i]
redarr = redarrs[name]
redvar_typ = lowerer.fndesc.typemap[name]
if config.DEBUG_ARRAY_OPT:
print("post-gufunc reduction:", name, redarr, redvar_typ)
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(args=[lhs, redarr], vararg=None, loc=loc)
lowerer.fndesc.calltypes[res_print] = signature(
types.none, typemap[lhs.name], typemap[redarr.name]
)
print("res_print", res_print)
lowerer.lower_inst(res_print)
# For each element in the reduction array created above.
for j in range(get_thread_count()):
# Create index var to access that element.
index_var = ir.Var(scope, mk_unique_var("index_var"), loc)
index_var_assign = ir.Assign(ir.Const(j, loc), index_var, loc)
typemap[index_var.name] = types.uintp
lowerer.lower_inst(index_var_assign)
# Read that element from the array into oneelem.
oneelem = ir.Var(scope, mk_unique_var("redelem"), loc)
oneelemgetitem = ir.Expr.getitem(redarr, index_var, loc)
typemap[oneelem.name] = redvar_typ
lowerer.fndesc.calltypes[oneelemgetitem] = signature(
redvar_typ, typemap[redarr.name], typemap[index_var.name]
)
oneelemassign = ir.Assign(oneelemgetitem, oneelem, loc)
lowerer.lower_inst(oneelemassign)
init_var = ir.Var(scope, name + "#init", loc)
init_assign = ir.Assign(oneelem, init_var, loc)
if name + "#init" not in typemap:
typemap[init_var.name] = redvar_typ
lowerer.lower_inst(init_assign)
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print1 for thread " + str(j) + ":"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc),
target=lhs,
loc=loc,
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(
args=[
lhs,
index_var,
oneelem,
init_var,
ir.Var(scope, name, loc),
],
vararg=None,
loc=loc,
)
lowerer.fndesc.calltypes[res_print] = signature(
types.none,
typemap[lhs.name],
typemap[index_var.name],
typemap[oneelem.name],
typemap[init_var.name],
typemap[name],
)
print("res_print1", res_print)
lowerer.lower_inst(res_print)
# generate code for combining reduction variable with thread output
for inst in parfor_reddict[name][1]:
# If we have a case where a parfor body has an array reduction like A += B
# and A and B have different data types then the reduction in the parallel
# region will operate on those differeing types. However, here, after the
# parallel region, we are summing across the reduction array and that is
# guaranteed to have the same data type so we need to change the reduction
# nodes so that the right-hand sides have a type equal to the reduction-type
# and therefore the left-hand side.
if isinstance(inst, ir.Assign):
rhs = inst.value
# We probably need to generalize this since it only does substitutions in
# inplace_binops.
if (
isinstance(rhs, ir.Expr)
and rhs.op == "inplace_binop"
and rhs.rhs.name == init_var.name
):
if config.DEBUG_ARRAY_OPT:
print("Adding call to reduction", rhs)
if rhs.fn == operator.isub:
rhs.fn = operator.iadd
rhs.immutable_fn = operator.add
if (
rhs.fn == operator.itruediv
or rhs.fn == operator.ifloordiv
):
rhs.fn = operator.imul
rhs.immutable_fn = operator.mul
if config.DEBUG_ARRAY_OPT:
print("After changing sub to add or div to mul", rhs)
# Get calltype of rhs.
ct = lowerer.fndesc.calltypes[rhs]
assert len(ct.args) == 2
# Create new arg types replace the second arg type with the reduction var type.
ctargs = (ct.args[0], redvar_typ)
# Update the signature of the call.
ct = ct.replace(args=ctargs)
# Remove so we can re-insert since calltypes is unique dict.
lowerer.fndesc.calltypes.pop(rhs)
# Add calltype back in for the expr with updated signature.
lowerer.fndesc.calltypes[rhs] = ct
lowerer.lower_inst(inst)
if isinstance(inst, ir.Assign) and name == inst.target.name:
break
if config.DEBUG_ARRAY_OPT_RUNTIME:
res_print_str = "res_print2 for thread " + str(j) + ":"
strconsttyp = types.StringLiteral(res_print_str)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=res_print_str, loc=loc),
target=lhs,
loc=loc,
)
typemap[lhs.name] = strconsttyp
lowerer.lower_inst(assign_lhs)
res_print = ir.Print(
args=[
lhs,
index_var,
oneelem,
init_var,
ir.Var(scope, name, loc),
],
vararg=None,
loc=loc,
)
lowerer.fndesc.calltypes[res_print] = signature(
types.none,
typemap[lhs.name],
typemap[index_var.name],
typemap[oneelem.name],
typemap[init_var.name],
typemap[name],
)
print("res_print2", res_print)
lowerer.lower_inst(res_print)
# Cleanup reduction variable
for v in redarrs.values():
lowerer.lower_inst(ir.Del(v.name, loc=loc))
# Restore the original typemap of the function that was replaced temporarily at the
# Beginning of this function.
lowerer.fndesc.typemap = orig_typemap
if config.DEBUG_ARRAY_OPT:
print("_lower_parfor_parallel done")
|
https://github.com/numba/numba/issues/5098
|
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 288, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 476, in lower_inst
func(self, inst)
File "/home/ibutygin/src/numba/numba/numba/npyufunc/parfor.py", line 241, in _lower_parfor_parallel
bool(alias_map), index_var_typ, parfor.races)
File "/home/ibutygin/src/numba/numba/numba/npyufunc/parfor.py", line 833, in _create_gufunc_for_parfor_body
replace_var_with_array(races, loop_body, typemap, lowerer.fndesc.calltypes)
File "/home/ibutygin/src/numba/numba/numba/npyufunc/parfor.py", line 1206, in replace_var_with_array
replace_var_with_array_internal(vars, loop_body, typemap, calltypes)
File "/home/ibutygin/src/numba/numba/numba/npyufunc/parfor.py", line 1203, in replace_var_with_array_internal
block.body = replace_var_with_array_in_block(vars, block, typemap, calltypes)
File "/home/ibutygin/src/numba/numba/numba/npyufunc/parfor.py", line 1189, in replace_var_with_array_in_block
setitem_node = ir.SetItem(inst.target, const_var, inst.value, inst.loc)
File "/home/ibutygin/src/numba/numba/numba/ir.py", line 573, in __init__
assert isinstance(value, Var)
AssertionError
|
AssertionError
|
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, {}, {}, self.typemap)
# 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)
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
|
https://github.com/numba/numba/issues/4903
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
716 try:
--> 717 yield
718 except NumbaError as e:
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
413 if isinstance(inst, _class):
--> 414 func(self, inst)
415 return
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
239 lowerer, parfor, typemap, typingctx, targetctx, flags, {},
--> 240 bool(alias_map), index_var_typ, parfor.races)
241 numba.parfor.sequential_parfor_lowering = False
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _create_gufunc_for_parfor_body(lowerer, parfor, typemap, typingctx, targetctx, flags, locals, has_aliases, index_var_typ, races)
1124 flags,
-> 1125 locals)
1126
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(typingctx, targetctx, func_ir, args, return_type, flags, locals, lifted, lifted_from, is_lifted_loop, library, pipeline_class)
591 return pipeline.compile_ir(func_ir=func_ir, lifted=lifted,
--> 592 lifted_from=lifted_from)
593
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(self, func_ir, lifted, lifted_from)
335 FixupArgs().run_pass(self.state)
--> 336 return self._compile_ir()
337
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_ir(self)
391 assert self.state.func_ir is not None
--> 392 return self._compile_core()
393
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
364 if is_final_pipeline:
--> 365 raise e
366 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
93 state.return_type,
---> 94 state.locals)
95 state.typemap = typemap
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in type_inference_stage(typingctx, interp, args, return_type, locals)
64
---> 65 infer.build_constraint()
66 infer.propagate()
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in build_constraint(self)
903 for inst in blk.body:
--> 904 self.constrain_statement(inst)
905
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in constrain_statement(self, inst)
1187 if isinstance(inst, ir.Assign):
-> 1188 self.typeof_assign(inst)
1189 elif isinstance(inst, ir.SetItem):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_assign(self, inst)
1258 elif isinstance(value, (ir.Global, ir.FreeVar)):
-> 1259 self.typeof_global(inst, inst.target, value)
1260 elif isinstance(value, ir.Arg):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_global(self, inst, target, gvar)
1399 lit = types.maybe_literal(gvar.value)
-> 1400 self.lock_type(target.name, lit or typ, loc=inst.loc)
1401 self.assumed_immutables.add(inst)
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock_type(self, var, tp, loc, literal_value)
975 tv = self.typevars[var]
--> 976 tv.lock(tp, loc=loc, literal_value=literal_value)
977
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock(self, tp, loc, literal_value)
82 assert isinstance(tp, types.Type), type(tp)
---> 83 assert not self.locked
84
AssertionError: Failed in nopython mode pipeline (step: nopython frontend)
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-1-1ddce8bd8630> in <module>
51
52 # nb.njit()(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
---> 53 nb.njit(parallel=True)(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
418 e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
419 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 420 raise e
421
422 def inspect_llvm(self, signature=None):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
351 argtypes.append(self.typeof_pyval(a))
352 try:
--> 353 return self.compile(tuple(argtypes))
354 except errors.ForceLiteralArg as e:
355 # Received request for compiler re-entry with the list of arguments
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
766 self._cache_misses[sig] += 1
767 try:
--> 768 cres = self._compiler.compile(args, return_type)
769 except errors.ForceLiteralArg as e:
770 def folded(args, kws):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
75
76 def compile(self, args, return_type):
---> 77 status, retval = self._compile_cached(args, return_type)
78 if status:
79 return retval
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
89
90 try:
---> 91 retval = self._compile_core(args, return_type)
92 except errors.TypingError as e:
93 self._failed_cache[key] = e
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
107 args=args, return_type=return_type,
108 flags=flags, locals=self.locals,
--> 109 pipeline_class=self.pipeline_class)
110 # Check typing error if object mode is used
111 if cres.typing_error is not None and not flags.enable_pyobject:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
526 pipeline = pipeline_class(typingctx, targetctx, library,
527 args, return_type, flags, locals)
--> 528 return pipeline.compile_extra(func)
529
530
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
324 self.state.lifted = ()
325 self.state.lifted_from = None
--> 326 return self._compile_bytecode()
327
328 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
383 """
384 assert self.state.func_ir is None
--> 385 return self._compile_core()
386
387 def _compile_ir(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
363 self.state.status.fail_reason = e
364 if is_final_pipeline:
--> 365 raise e
366 else:
367 raise CompilerError("All available pipelines exhausted")
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
354 res = None
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
358 break
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
326 (self.pipeline_name, pass_desc)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
330 def dependency_analysis(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
317 pass_inst = _pass_registry.get(pss).pass_inst
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
321 raise BaseException("Legacy pass in use")
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
279 mutated |= check(pss.run_initialization, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
283 mutated |= check(pss.run_finalizer, internal_state)
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
266
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
270 msg = ("CompilerPass implementations should return True/False. "
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
378 state.library.enable_object_caching()
379
--> 380 NativeLowering().run_pass(state) # TODO: Pull this out into the pipeline
381 lowered = state['cr']
382 signature = typing.signature(state.return_type, *state.args)
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
323 lower = lowering.Lower(targetctx, library, fndesc, interp,
324 metadata=metadata)
--> 325 lower.lower()
326 if not flags.no_cpython_wrapper:
327 lower.create_cpython_wrapper(flags.release_gil)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
177 if self.generator_info is None:
178 self.genlower = None
--> 179 self.lower_normal_function(self.fndesc)
180 else:
181 self.genlower = self.GeneratorLower(self)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
218 # Init argument values
219 self.extract_function_arguments()
--> 220 entry_block_tail = self.lower_function_body()
221
222 # Close tail of entry block
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
243 bb = self.blkmap[offset]
244 self.builder.position_at_end(bb)
--> 245 self.lower_block(block)
246
247 self.post_lower()
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
258 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
262 def create_cpython_wrapper(self, release_gil=False):
~/anaconda3/lib/python3.7/contextlib.py in __exit__(self, type, value, traceback)
128 value = type()
129 try:
--> 130 self.gen.throw(type, value, traceback)
131 except StopIteration as exc:
132 # Suppress StopIteration *unless* it's the same exception that
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
723 from numba import config
724 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 725 six.reraise(type(newerr), newerr, tb)
726
727
~/anaconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
667 if value.__traceback__ is not tb:
668 raise value.with_traceback(tb)
--> 669 raise value
670
671 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
File "<ipython-input-1-1ddce8bd8630>", line 14:
def foo(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k):
<source elided>
for i in nb.prange(n):
^
[1] During: lowering "id=5[LoopNest(index_variable = parfor_index.104, range = (0, $n.119, 1))]{256: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 258: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 130: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 132: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 268: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 146: <ir.Block at <ipython-input-1-1ddce8bd8630> (19)>, 278: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 156: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 158: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 286: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 166: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 296: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 298: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 174: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 184: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 314: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 194: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 196: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 78: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 344: <ir.Block at <ipython-input-1-1ddce8bd8630> (29)>, 348: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 351: <ir.Block at <ipython-input-1-1ddce8bd8630> (30)>, 352: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 96: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 104: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 112: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 120: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>}Var(parfor_index.104, <ipython-input-1-1ddce8bd8630> (14))" at <ipython-input-1-1ddce8bd8630> (14)
|
AssertionError
|
def _arrayexpr_tree_to_ir(
func_ir,
typingctx,
typemap,
calltypes,
equiv_set,
init_block,
expr_out_var,
expr,
parfor_index_tuple_var,
all_parfor_indices,
avail_vars,
):
"""generate IR from array_expr's expr tree recursively. Assign output to
expr_out_var and returns the whole IR as a list of Assign nodes.
"""
el_typ = typemap[expr_out_var.name]
scope = expr_out_var.scope
loc = expr_out_var.loc
out_ir = []
if isinstance(expr, tuple):
op, arr_expr_args = expr
arg_vars = []
for arg in arr_expr_args:
arg_out_var = ir.Var(scope, mk_unique_var("$arg_out_var"), loc)
typemap[arg_out_var.name] = el_typ
out_ir += _arrayexpr_tree_to_ir(
func_ir,
typingctx,
typemap,
calltypes,
equiv_set,
init_block,
arg_out_var,
arg,
parfor_index_tuple_var,
all_parfor_indices,
avail_vars,
)
arg_vars.append(arg_out_var)
if op in npydecl.supported_array_operators:
el_typ1 = typemap[arg_vars[0].name]
if len(arg_vars) == 2:
el_typ2 = typemap[arg_vars[1].name]
func_typ = typingctx.resolve_function_type(op, (el_typ1, el_typ), {})
ir_expr = ir.Expr.binop(op, arg_vars[0], arg_vars[1], loc)
if op == operator.truediv:
func_typ, ir_expr = _gen_np_divide(
arg_vars[0], arg_vars[1], out_ir, typemap
)
else:
func_typ = typingctx.resolve_function_type(op, (el_typ1,), {})
ir_expr = ir.Expr.unary(op, arg_vars[0], loc)
calltypes[ir_expr] = func_typ
el_typ = func_typ.return_type
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
for T in array_analysis.MAP_TYPES:
if isinstance(op, T):
# elif isinstance(op, (np.ufunc, DUFunc)):
# function calls are stored in variables which are not removed
# op is typing_key to the variables type
func_var_name = _find_func_var(typemap, op, avail_vars)
func_var = ir.Var(scope, mk_unique_var(func_var_name), loc)
typemap[func_var.name] = typemap[func_var_name]
func_var_def = copy.deepcopy(func_ir.get_definition(func_var_name))
if (
isinstance(func_var_def, ir.Expr)
and func_var_def.op == "getattr"
and func_var_def.attr == "sqrt"
):
g_math_var = ir.Var(scope, mk_unique_var("$math_g_var"), loc)
typemap[g_math_var.name] = types.misc.Module(math)
g_math = ir.Global("math", math, loc)
g_math_assign = ir.Assign(g_math, g_math_var, loc)
func_var_def = ir.Expr.getattr(g_math_var, "sqrt", loc)
out_ir.append(g_math_assign)
# out_ir.append(func_var_def)
ir_expr = ir.Expr.call(func_var, arg_vars, (), loc)
call_typ = typemap[func_var.name].get_call_type(
typingctx, tuple(typemap[a.name] for a in arg_vars), {}
)
calltypes[ir_expr] = call_typ
el_typ = call_typ.return_type
# signature(el_typ, el_typ)
out_ir.append(ir.Assign(func_var_def, func_var, loc))
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
elif isinstance(expr, ir.Var):
var_typ = typemap[expr.name]
if isinstance(var_typ, types.Array):
el_typ = var_typ.dtype
ir_expr = _gen_arrayexpr_getitem(
equiv_set,
expr,
parfor_index_tuple_var,
all_parfor_indices,
el_typ,
calltypes,
typingctx,
typemap,
init_block,
out_ir,
)
else:
# assert typemap[expr.name]==el_typ
el_typ = var_typ
ir_expr = expr
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
elif isinstance(expr, ir.Const):
el_typ = typing.Context().resolve_value_type(expr.value)
out_ir.append(ir.Assign(expr, expr_out_var, loc))
if len(out_ir) == 0:
raise NotImplementedError(
"Don't know how to translate array expression '%r'" % (expr,)
)
typemap.pop(expr_out_var.name, None)
typemap[expr_out_var.name] = el_typ
return out_ir
|
def _arrayexpr_tree_to_ir(
func_ir,
typingctx,
typemap,
calltypes,
equiv_set,
init_block,
expr_out_var,
expr,
parfor_index_tuple_var,
all_parfor_indices,
avail_vars,
):
"""generate IR from array_expr's expr tree recursively. Assign output to
expr_out_var and returns the whole IR as a list of Assign nodes.
"""
el_typ = typemap[expr_out_var.name]
scope = expr_out_var.scope
loc = expr_out_var.loc
out_ir = []
if isinstance(expr, tuple):
op, arr_expr_args = expr
arg_vars = []
for arg in arr_expr_args:
arg_out_var = ir.Var(scope, mk_unique_var("$arg_out_var"), loc)
typemap[arg_out_var.name] = el_typ
out_ir += _arrayexpr_tree_to_ir(
func_ir,
typingctx,
typemap,
calltypes,
equiv_set,
init_block,
arg_out_var,
arg,
parfor_index_tuple_var,
all_parfor_indices,
avail_vars,
)
arg_vars.append(arg_out_var)
if op in npydecl.supported_array_operators:
el_typ1 = typemap[arg_vars[0].name]
if len(arg_vars) == 2:
el_typ2 = typemap[arg_vars[1].name]
func_typ = typingctx.resolve_function_type(op, (el_typ1, el_typ), {})
ir_expr = ir.Expr.binop(op, arg_vars[0], arg_vars[1], loc)
if op == operator.truediv:
func_typ, ir_expr = _gen_np_divide(
arg_vars[0], arg_vars[1], out_ir, typemap
)
else:
func_typ = typingctx.resolve_function_type(op, (el_typ1,), {})
ir_expr = ir.Expr.unary(op, arg_vars[0], loc)
calltypes[ir_expr] = func_typ
el_typ = func_typ.return_type
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
for T in array_analysis.MAP_TYPES:
if isinstance(op, T):
# elif isinstance(op, (np.ufunc, DUFunc)):
# function calls are stored in variables which are not removed
# op is typing_key to the variables type
func_var_name = _find_func_var(typemap, op, avail_vars)
func_var = ir.Var(scope, mk_unique_var(func_var_name), loc)
typemap[func_var.name] = typemap[func_var_name]
func_var_def = func_ir.get_definition(func_var_name)
if (
isinstance(func_var_def, ir.Expr)
and func_var_def.op == "getattr"
and func_var_def.attr == "sqrt"
):
g_math_var = ir.Var(scope, mk_unique_var("$math_g_var"), loc)
typemap[g_math_var.name] = types.misc.Module(math)
g_math = ir.Global("math", math, loc)
g_math_assign = ir.Assign(g_math, g_math_var, loc)
func_var_def = ir.Expr.getattr(g_math_var, "sqrt", loc)
out_ir.append(g_math_assign)
# out_ir.append(func_var_def)
ir_expr = ir.Expr.call(func_var, arg_vars, (), loc)
call_typ = typemap[func_var.name].get_call_type(
typingctx, tuple(typemap[a.name] for a in arg_vars), {}
)
calltypes[ir_expr] = call_typ
el_typ = call_typ.return_type
# signature(el_typ, el_typ)
out_ir.append(ir.Assign(func_var_def, func_var, loc))
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
elif isinstance(expr, ir.Var):
var_typ = typemap[expr.name]
if isinstance(var_typ, types.Array):
el_typ = var_typ.dtype
ir_expr = _gen_arrayexpr_getitem(
equiv_set,
expr,
parfor_index_tuple_var,
all_parfor_indices,
el_typ,
calltypes,
typingctx,
typemap,
init_block,
out_ir,
)
else:
# assert typemap[expr.name]==el_typ
el_typ = var_typ
ir_expr = expr
out_ir.append(ir.Assign(ir_expr, expr_out_var, loc))
elif isinstance(expr, ir.Const):
el_typ = typing.Context().resolve_value_type(expr.value)
out_ir.append(ir.Assign(expr, expr_out_var, loc))
if len(out_ir) == 0:
raise NotImplementedError(
"Don't know how to translate array expression '%r'" % (expr,)
)
typemap.pop(expr_out_var.name, None)
typemap[expr_out_var.name] = el_typ
return out_ir
|
https://github.com/numba/numba/issues/4903
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
716 try:
--> 717 yield
718 except NumbaError as e:
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
413 if isinstance(inst, _class):
--> 414 func(self, inst)
415 return
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
239 lowerer, parfor, typemap, typingctx, targetctx, flags, {},
--> 240 bool(alias_map), index_var_typ, parfor.races)
241 numba.parfor.sequential_parfor_lowering = False
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _create_gufunc_for_parfor_body(lowerer, parfor, typemap, typingctx, targetctx, flags, locals, has_aliases, index_var_typ, races)
1124 flags,
-> 1125 locals)
1126
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(typingctx, targetctx, func_ir, args, return_type, flags, locals, lifted, lifted_from, is_lifted_loop, library, pipeline_class)
591 return pipeline.compile_ir(func_ir=func_ir, lifted=lifted,
--> 592 lifted_from=lifted_from)
593
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(self, func_ir, lifted, lifted_from)
335 FixupArgs().run_pass(self.state)
--> 336 return self._compile_ir()
337
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_ir(self)
391 assert self.state.func_ir is not None
--> 392 return self._compile_core()
393
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
364 if is_final_pipeline:
--> 365 raise e
366 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
93 state.return_type,
---> 94 state.locals)
95 state.typemap = typemap
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in type_inference_stage(typingctx, interp, args, return_type, locals)
64
---> 65 infer.build_constraint()
66 infer.propagate()
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in build_constraint(self)
903 for inst in blk.body:
--> 904 self.constrain_statement(inst)
905
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in constrain_statement(self, inst)
1187 if isinstance(inst, ir.Assign):
-> 1188 self.typeof_assign(inst)
1189 elif isinstance(inst, ir.SetItem):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_assign(self, inst)
1258 elif isinstance(value, (ir.Global, ir.FreeVar)):
-> 1259 self.typeof_global(inst, inst.target, value)
1260 elif isinstance(value, ir.Arg):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_global(self, inst, target, gvar)
1399 lit = types.maybe_literal(gvar.value)
-> 1400 self.lock_type(target.name, lit or typ, loc=inst.loc)
1401 self.assumed_immutables.add(inst)
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock_type(self, var, tp, loc, literal_value)
975 tv = self.typevars[var]
--> 976 tv.lock(tp, loc=loc, literal_value=literal_value)
977
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock(self, tp, loc, literal_value)
82 assert isinstance(tp, types.Type), type(tp)
---> 83 assert not self.locked
84
AssertionError: Failed in nopython mode pipeline (step: nopython frontend)
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-1-1ddce8bd8630> in <module>
51
52 # nb.njit()(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
---> 53 nb.njit(parallel=True)(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
418 e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
419 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 420 raise e
421
422 def inspect_llvm(self, signature=None):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
351 argtypes.append(self.typeof_pyval(a))
352 try:
--> 353 return self.compile(tuple(argtypes))
354 except errors.ForceLiteralArg as e:
355 # Received request for compiler re-entry with the list of arguments
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
766 self._cache_misses[sig] += 1
767 try:
--> 768 cres = self._compiler.compile(args, return_type)
769 except errors.ForceLiteralArg as e:
770 def folded(args, kws):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
75
76 def compile(self, args, return_type):
---> 77 status, retval = self._compile_cached(args, return_type)
78 if status:
79 return retval
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
89
90 try:
---> 91 retval = self._compile_core(args, return_type)
92 except errors.TypingError as e:
93 self._failed_cache[key] = e
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
107 args=args, return_type=return_type,
108 flags=flags, locals=self.locals,
--> 109 pipeline_class=self.pipeline_class)
110 # Check typing error if object mode is used
111 if cres.typing_error is not None and not flags.enable_pyobject:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
526 pipeline = pipeline_class(typingctx, targetctx, library,
527 args, return_type, flags, locals)
--> 528 return pipeline.compile_extra(func)
529
530
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
324 self.state.lifted = ()
325 self.state.lifted_from = None
--> 326 return self._compile_bytecode()
327
328 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
383 """
384 assert self.state.func_ir is None
--> 385 return self._compile_core()
386
387 def _compile_ir(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
363 self.state.status.fail_reason = e
364 if is_final_pipeline:
--> 365 raise e
366 else:
367 raise CompilerError("All available pipelines exhausted")
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
354 res = None
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
358 break
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
326 (self.pipeline_name, pass_desc)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
330 def dependency_analysis(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
317 pass_inst = _pass_registry.get(pss).pass_inst
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
321 raise BaseException("Legacy pass in use")
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
279 mutated |= check(pss.run_initialization, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
283 mutated |= check(pss.run_finalizer, internal_state)
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
266
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
270 msg = ("CompilerPass implementations should return True/False. "
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
378 state.library.enable_object_caching()
379
--> 380 NativeLowering().run_pass(state) # TODO: Pull this out into the pipeline
381 lowered = state['cr']
382 signature = typing.signature(state.return_type, *state.args)
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
323 lower = lowering.Lower(targetctx, library, fndesc, interp,
324 metadata=metadata)
--> 325 lower.lower()
326 if not flags.no_cpython_wrapper:
327 lower.create_cpython_wrapper(flags.release_gil)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
177 if self.generator_info is None:
178 self.genlower = None
--> 179 self.lower_normal_function(self.fndesc)
180 else:
181 self.genlower = self.GeneratorLower(self)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
218 # Init argument values
219 self.extract_function_arguments()
--> 220 entry_block_tail = self.lower_function_body()
221
222 # Close tail of entry block
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
243 bb = self.blkmap[offset]
244 self.builder.position_at_end(bb)
--> 245 self.lower_block(block)
246
247 self.post_lower()
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
258 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
262 def create_cpython_wrapper(self, release_gil=False):
~/anaconda3/lib/python3.7/contextlib.py in __exit__(self, type, value, traceback)
128 value = type()
129 try:
--> 130 self.gen.throw(type, value, traceback)
131 except StopIteration as exc:
132 # Suppress StopIteration *unless* it's the same exception that
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
723 from numba import config
724 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 725 six.reraise(type(newerr), newerr, tb)
726
727
~/anaconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
667 if value.__traceback__ is not tb:
668 raise value.with_traceback(tb)
--> 669 raise value
670
671 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
File "<ipython-input-1-1ddce8bd8630>", line 14:
def foo(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k):
<source elided>
for i in nb.prange(n):
^
[1] During: lowering "id=5[LoopNest(index_variable = parfor_index.104, range = (0, $n.119, 1))]{256: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 258: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 130: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 132: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 268: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 146: <ir.Block at <ipython-input-1-1ddce8bd8630> (19)>, 278: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 156: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 158: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 286: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 166: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 296: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 298: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 174: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 184: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 314: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 194: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 196: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 78: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 344: <ir.Block at <ipython-input-1-1ddce8bd8630> (29)>, 348: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 351: <ir.Block at <ipython-input-1-1ddce8bd8630> (30)>, 352: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 96: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 104: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 112: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 120: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>}Var(parfor_index.104, <ipython-input-1-1ddce8bd8630> (14))" at <ipython-input-1-1ddce8bd8630> (14)
|
AssertionError
|
def push_call_vars(blocks, saved_globals, saved_getattrs, typemap, nested=False):
"""push call variables to right before their call site.
assuming one global/getattr is created for each call site and control flow
doesn't change it.
"""
for block in blocks.values():
new_body = []
# global/attr variables that are defined in this block already,
# no need to reassign them
block_defs = set()
# Some definitions are copied right before the call but then we
# need to rename that symbol in that block so that typing won't
# generate an error trying to lock the save var twice.
# In rename_dict, we collect the symbols that must be renamed in
# this block. We collect them then apply the renaming at the end.
rename_dict = {}
for stmt in block.body:
def process_assign(stmt):
if isinstance(stmt, ir.Assign):
rhs = stmt.value
lhs = stmt.target
if isinstance(rhs, ir.Global):
saved_globals[lhs.name] = stmt
block_defs.add(lhs.name)
elif isinstance(rhs, ir.Expr) and rhs.op == "getattr":
if (
rhs.value.name in saved_globals
or rhs.value.name in saved_getattrs
):
saved_getattrs[lhs.name] = stmt
block_defs.add(lhs.name)
if not nested and isinstance(stmt, Parfor):
for s in stmt.init_block.body:
process_assign(s)
pblocks = stmt.loop_body.copy()
push_call_vars(
pblocks, saved_globals, saved_getattrs, typemap, nested=True
)
new_body.append(stmt)
continue
else:
process_assign(stmt)
for v in stmt.list_vars():
new_body += _get_saved_call_nodes(
v.name, saved_globals, saved_getattrs, block_defs, rename_dict
)
new_body.append(stmt)
block.body = new_body
# If there is anything to rename then apply the renaming here.
if len(rename_dict) > 0:
# Fix-up the typing for the renamed vars.
for k, v in rename_dict.items():
typemap[v] = typemap[k]
# This is only to call replace_var_names which takes a dict.
temp_blocks = {0: block}
replace_var_names(temp_blocks, rename_dict)
return
|
def push_call_vars(blocks, saved_globals, saved_getattrs, nested=False):
"""push call variables to right before their call site.
assuming one global/getattr is created for each call site and control flow
doesn't change it.
"""
for block in blocks.values():
new_body = []
# global/attr variables that are defined in this block already,
# no need to reassign them
block_defs = set()
for stmt in block.body:
def process_assign(stmt):
if isinstance(stmt, ir.Assign):
rhs = stmt.value
lhs = stmt.target
if isinstance(rhs, ir.Global):
saved_globals[lhs.name] = stmt
block_defs.add(lhs.name)
elif isinstance(rhs, ir.Expr) and rhs.op == "getattr":
if (
rhs.value.name in saved_globals
or rhs.value.name in saved_getattrs
):
saved_getattrs[lhs.name] = stmt
block_defs.add(lhs.name)
if not nested and isinstance(stmt, Parfor):
for s in stmt.init_block.body:
process_assign(s)
pblocks = stmt.loop_body.copy()
push_call_vars(pblocks, saved_globals, saved_getattrs, nested=True)
new_body.append(stmt)
continue
else:
process_assign(stmt)
for v in stmt.list_vars():
new_body += _get_saved_call_nodes(
v.name, saved_globals, saved_getattrs, block_defs
)
new_body.append(stmt)
block.body = new_body
return
|
https://github.com/numba/numba/issues/4903
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
716 try:
--> 717 yield
718 except NumbaError as e:
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
413 if isinstance(inst, _class):
--> 414 func(self, inst)
415 return
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
239 lowerer, parfor, typemap, typingctx, targetctx, flags, {},
--> 240 bool(alias_map), index_var_typ, parfor.races)
241 numba.parfor.sequential_parfor_lowering = False
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _create_gufunc_for_parfor_body(lowerer, parfor, typemap, typingctx, targetctx, flags, locals, has_aliases, index_var_typ, races)
1124 flags,
-> 1125 locals)
1126
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(typingctx, targetctx, func_ir, args, return_type, flags, locals, lifted, lifted_from, is_lifted_loop, library, pipeline_class)
591 return pipeline.compile_ir(func_ir=func_ir, lifted=lifted,
--> 592 lifted_from=lifted_from)
593
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(self, func_ir, lifted, lifted_from)
335 FixupArgs().run_pass(self.state)
--> 336 return self._compile_ir()
337
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_ir(self)
391 assert self.state.func_ir is not None
--> 392 return self._compile_core()
393
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
364 if is_final_pipeline:
--> 365 raise e
366 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
93 state.return_type,
---> 94 state.locals)
95 state.typemap = typemap
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in type_inference_stage(typingctx, interp, args, return_type, locals)
64
---> 65 infer.build_constraint()
66 infer.propagate()
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in build_constraint(self)
903 for inst in blk.body:
--> 904 self.constrain_statement(inst)
905
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in constrain_statement(self, inst)
1187 if isinstance(inst, ir.Assign):
-> 1188 self.typeof_assign(inst)
1189 elif isinstance(inst, ir.SetItem):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_assign(self, inst)
1258 elif isinstance(value, (ir.Global, ir.FreeVar)):
-> 1259 self.typeof_global(inst, inst.target, value)
1260 elif isinstance(value, ir.Arg):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_global(self, inst, target, gvar)
1399 lit = types.maybe_literal(gvar.value)
-> 1400 self.lock_type(target.name, lit or typ, loc=inst.loc)
1401 self.assumed_immutables.add(inst)
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock_type(self, var, tp, loc, literal_value)
975 tv = self.typevars[var]
--> 976 tv.lock(tp, loc=loc, literal_value=literal_value)
977
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock(self, tp, loc, literal_value)
82 assert isinstance(tp, types.Type), type(tp)
---> 83 assert not self.locked
84
AssertionError: Failed in nopython mode pipeline (step: nopython frontend)
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-1-1ddce8bd8630> in <module>
51
52 # nb.njit()(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
---> 53 nb.njit(parallel=True)(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
418 e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
419 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 420 raise e
421
422 def inspect_llvm(self, signature=None):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
351 argtypes.append(self.typeof_pyval(a))
352 try:
--> 353 return self.compile(tuple(argtypes))
354 except errors.ForceLiteralArg as e:
355 # Received request for compiler re-entry with the list of arguments
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
766 self._cache_misses[sig] += 1
767 try:
--> 768 cres = self._compiler.compile(args, return_type)
769 except errors.ForceLiteralArg as e:
770 def folded(args, kws):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
75
76 def compile(self, args, return_type):
---> 77 status, retval = self._compile_cached(args, return_type)
78 if status:
79 return retval
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
89
90 try:
---> 91 retval = self._compile_core(args, return_type)
92 except errors.TypingError as e:
93 self._failed_cache[key] = e
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
107 args=args, return_type=return_type,
108 flags=flags, locals=self.locals,
--> 109 pipeline_class=self.pipeline_class)
110 # Check typing error if object mode is used
111 if cres.typing_error is not None and not flags.enable_pyobject:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
526 pipeline = pipeline_class(typingctx, targetctx, library,
527 args, return_type, flags, locals)
--> 528 return pipeline.compile_extra(func)
529
530
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
324 self.state.lifted = ()
325 self.state.lifted_from = None
--> 326 return self._compile_bytecode()
327
328 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
383 """
384 assert self.state.func_ir is None
--> 385 return self._compile_core()
386
387 def _compile_ir(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
363 self.state.status.fail_reason = e
364 if is_final_pipeline:
--> 365 raise e
366 else:
367 raise CompilerError("All available pipelines exhausted")
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
354 res = None
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
358 break
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
326 (self.pipeline_name, pass_desc)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
330 def dependency_analysis(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
317 pass_inst = _pass_registry.get(pss).pass_inst
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
321 raise BaseException("Legacy pass in use")
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
279 mutated |= check(pss.run_initialization, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
283 mutated |= check(pss.run_finalizer, internal_state)
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
266
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
270 msg = ("CompilerPass implementations should return True/False. "
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
378 state.library.enable_object_caching()
379
--> 380 NativeLowering().run_pass(state) # TODO: Pull this out into the pipeline
381 lowered = state['cr']
382 signature = typing.signature(state.return_type, *state.args)
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
323 lower = lowering.Lower(targetctx, library, fndesc, interp,
324 metadata=metadata)
--> 325 lower.lower()
326 if not flags.no_cpython_wrapper:
327 lower.create_cpython_wrapper(flags.release_gil)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
177 if self.generator_info is None:
178 self.genlower = None
--> 179 self.lower_normal_function(self.fndesc)
180 else:
181 self.genlower = self.GeneratorLower(self)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
218 # Init argument values
219 self.extract_function_arguments()
--> 220 entry_block_tail = self.lower_function_body()
221
222 # Close tail of entry block
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
243 bb = self.blkmap[offset]
244 self.builder.position_at_end(bb)
--> 245 self.lower_block(block)
246
247 self.post_lower()
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
258 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
262 def create_cpython_wrapper(self, release_gil=False):
~/anaconda3/lib/python3.7/contextlib.py in __exit__(self, type, value, traceback)
128 value = type()
129 try:
--> 130 self.gen.throw(type, value, traceback)
131 except StopIteration as exc:
132 # Suppress StopIteration *unless* it's the same exception that
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
723 from numba import config
724 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 725 six.reraise(type(newerr), newerr, tb)
726
727
~/anaconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
667 if value.__traceback__ is not tb:
668 raise value.with_traceback(tb)
--> 669 raise value
670
671 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
File "<ipython-input-1-1ddce8bd8630>", line 14:
def foo(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k):
<source elided>
for i in nb.prange(n):
^
[1] During: lowering "id=5[LoopNest(index_variable = parfor_index.104, range = (0, $n.119, 1))]{256: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 258: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 130: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 132: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 268: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 146: <ir.Block at <ipython-input-1-1ddce8bd8630> (19)>, 278: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 156: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 158: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 286: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 166: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 296: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 298: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 174: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 184: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 314: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 194: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 196: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 78: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 344: <ir.Block at <ipython-input-1-1ddce8bd8630> (29)>, 348: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 351: <ir.Block at <ipython-input-1-1ddce8bd8630> (30)>, 352: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 96: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 104: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 112: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 120: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>}Var(parfor_index.104, <ipython-input-1-1ddce8bd8630> (14))" at <ipython-input-1-1ddce8bd8630> (14)
|
AssertionError
|
def _get_saved_call_nodes(
fname, saved_globals, saved_getattrs, block_defs, rename_dict
):
"""Implement the copying of globals or getattrs for the purposes noted in
push_call_vars. We make a new var and assign to it a copy of the
global or getattr. We remember this new assignment node and add an
entry in the renaming dictionary so that for this block the original
var name is replaced by the new var name we created.
"""
nodes = []
while fname not in block_defs and (
fname in saved_globals or fname in saved_getattrs
):
def rename_global_or_getattr(obj, var_base, nodes, block_defs, rename_dict):
assert isinstance(obj, ir.Assign)
renamed_var = ir.Var(
obj.target.scope, mk_unique_var(var_base), obj.target.loc
)
renamed_assign = ir.Assign(copy.deepcopy(obj.value), renamed_var, obj.loc)
nodes.append(renamed_assign)
block_defs.add(obj.target.name)
rename_dict[obj.target.name] = renamed_assign.target.name
if fname in saved_globals:
rename_global_or_getattr(
saved_globals[fname],
"$push_global_to_block",
nodes,
block_defs,
rename_dict,
)
fname = "_PA_DONE"
elif fname in saved_getattrs:
rename_global_or_getattr(
saved_getattrs[fname],
"$push_getattr_to_block",
nodes,
block_defs,
rename_dict,
)
fname = saved_getattrs[fname].value.value.name
nodes.reverse()
return nodes
|
def _get_saved_call_nodes(fname, saved_globals, saved_getattrs, block_defs):
nodes = []
while fname not in block_defs and (
fname in saved_globals or fname in saved_getattrs
):
if fname in saved_globals:
nodes.append(saved_globals[fname])
block_defs.add(saved_globals[fname].target.name)
fname = "_PA_DONE"
elif fname in saved_getattrs:
up_name = saved_getattrs[fname].value.value.name
nodes.append(saved_getattrs[fname])
block_defs.add(saved_getattrs[fname].target.name)
fname = up_name
nodes.reverse()
return nodes
|
https://github.com/numba/numba/issues/4903
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
716 try:
--> 717 yield
718 except NumbaError as e:
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
413 if isinstance(inst, _class):
--> 414 func(self, inst)
415 return
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
239 lowerer, parfor, typemap, typingctx, targetctx, flags, {},
--> 240 bool(alias_map), index_var_typ, parfor.races)
241 numba.parfor.sequential_parfor_lowering = False
~/anaconda3/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _create_gufunc_for_parfor_body(lowerer, parfor, typemap, typingctx, targetctx, flags, locals, has_aliases, index_var_typ, races)
1124 flags,
-> 1125 locals)
1126
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(typingctx, targetctx, func_ir, args, return_type, flags, locals, lifted, lifted_from, is_lifted_loop, library, pipeline_class)
591 return pipeline.compile_ir(func_ir=func_ir, lifted=lifted,
--> 592 lifted_from=lifted_from)
593
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_ir(self, func_ir, lifted, lifted_from)
335 FixupArgs().run_pass(self.state)
--> 336 return self._compile_ir()
337
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_ir(self)
391 assert self.state.func_ir is not None
--> 392 return self._compile_core()
393
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
364 if is_final_pipeline:
--> 365 raise e
366 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
93 state.return_type,
---> 94 state.locals)
95 state.typemap = typemap
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in type_inference_stage(typingctx, interp, args, return_type, locals)
64
---> 65 infer.build_constraint()
66 infer.propagate()
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in build_constraint(self)
903 for inst in blk.body:
--> 904 self.constrain_statement(inst)
905
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in constrain_statement(self, inst)
1187 if isinstance(inst, ir.Assign):
-> 1188 self.typeof_assign(inst)
1189 elif isinstance(inst, ir.SetItem):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_assign(self, inst)
1258 elif isinstance(value, (ir.Global, ir.FreeVar)):
-> 1259 self.typeof_global(inst, inst.target, value)
1260 elif isinstance(value, ir.Arg):
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in typeof_global(self, inst, target, gvar)
1399 lit = types.maybe_literal(gvar.value)
-> 1400 self.lock_type(target.name, lit or typ, loc=inst.loc)
1401 self.assumed_immutables.add(inst)
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock_type(self, var, tp, loc, literal_value)
975 tv = self.typevars[var]
--> 976 tv.lock(tp, loc=loc, literal_value=literal_value)
977
~/anaconda3/lib/python3.7/site-packages/numba/typeinfer.py in lock(self, tp, loc, literal_value)
82 assert isinstance(tp, types.Type), type(tp)
---> 83 assert not self.locked
84
AssertionError: Failed in nopython mode pipeline (step: nopython frontend)
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-1-1ddce8bd8630> in <module>
51
52 # nb.njit()(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
---> 53 nb.njit(parallel=True)(foo)(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k)
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
418 e.patch_message('\n'.join((str(e).rstrip(), help_msg)))
419 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 420 raise e
421
422 def inspect_llvm(self, signature=None):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
351 argtypes.append(self.typeof_pyval(a))
352 try:
--> 353 return self.compile(tuple(argtypes))
354 except errors.ForceLiteralArg as e:
355 # Received request for compiler re-entry with the list of arguments
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
766 self._cache_misses[sig] += 1
767 try:
--> 768 cres = self._compiler.compile(args, return_type)
769 except errors.ForceLiteralArg as e:
770 def folded(args, kws):
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
75
76 def compile(self, args, return_type):
---> 77 status, retval = self._compile_cached(args, return_type)
78 if status:
79 return retval
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
89
90 try:
---> 91 retval = self._compile_core(args, return_type)
92 except errors.TypingError as e:
93 self._failed_cache[key] = e
~/anaconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
107 args=args, return_type=return_type,
108 flags=flags, locals=self.locals,
--> 109 pipeline_class=self.pipeline_class)
110 # Check typing error if object mode is used
111 if cres.typing_error is not None and not flags.enable_pyobject:
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
526 pipeline = pipeline_class(typingctx, targetctx, library,
527 args, return_type, flags, locals)
--> 528 return pipeline.compile_extra(func)
529
530
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
324 self.state.lifted = ()
325 self.state.lifted_from = None
--> 326 return self._compile_bytecode()
327
328 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
383 """
384 assert self.state.func_ir is None
--> 385 return self._compile_core()
386
387 def _compile_ir(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
363 self.state.status.fail_reason = e
364 if is_final_pipeline:
--> 365 raise e
366 else:
367 raise CompilerError("All available pipelines exhausted")
~/anaconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
354 res = None
355 try:
--> 356 pm.run(self.state)
357 if self.state.cr is not None:
358 break
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
326 (self.pipeline_name, pass_desc)
327 patched_exception = self._patch_error(msg, e)
--> 328 raise patched_exception
329
330 def dependency_analysis(self):
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in run(self, state)
317 pass_inst = _pass_registry.get(pss).pass_inst
318 if isinstance(pass_inst, CompilerPass):
--> 319 self._runPass(idx, pass_inst, state)
320 else:
321 raise BaseException("Legacy pass in use")
~/anaconda3/lib/python3.7/site-packages/numba/compiler_lock.py in _acquire_compile_lock(*args, **kwargs)
30 def _acquire_compile_lock(*args, **kwargs):
31 with self:
---> 32 return func(*args, **kwargs)
33 return _acquire_compile_lock
34
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in _runPass(self, index, pss, internal_state)
279 mutated |= check(pss.run_initialization, internal_state)
280 with SimpleTimer() as pass_time:
--> 281 mutated |= check(pss.run_pass, internal_state)
282 with SimpleTimer() as finalize_time:
283 mutated |= check(pss.run_finalizer, internal_state)
~/anaconda3/lib/python3.7/site-packages/numba/compiler_machinery.py in check(func, compiler_state)
266
267 def check(func, compiler_state):
--> 268 mangled = func(compiler_state)
269 if mangled not in (True, False):
270 msg = ("CompilerPass implementations should return True/False. "
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
378 state.library.enable_object_caching()
379
--> 380 NativeLowering().run_pass(state) # TODO: Pull this out into the pipeline
381 lowered = state['cr']
382 signature = typing.signature(state.return_type, *state.args)
~/anaconda3/lib/python3.7/site-packages/numba/typed_passes.py in run_pass(self, state)
323 lower = lowering.Lower(targetctx, library, fndesc, interp,
324 metadata=metadata)
--> 325 lower.lower()
326 if not flags.no_cpython_wrapper:
327 lower.create_cpython_wrapper(flags.release_gil)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
177 if self.generator_info is None:
178 self.genlower = None
--> 179 self.lower_normal_function(self.fndesc)
180 else:
181 self.genlower = self.GeneratorLower(self)
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
218 # Init argument values
219 self.extract_function_arguments()
--> 220 entry_block_tail = self.lower_function_body()
221
222 # Close tail of entry block
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
243 bb = self.blkmap[offset]
244 self.builder.position_at_end(bb)
--> 245 self.lower_block(block)
246
247 self.post_lower()
~/anaconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
258 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
259 loc=self.loc, errcls_=defaulterrcls):
--> 260 self.lower_inst(inst)
261
262 def create_cpython_wrapper(self, release_gil=False):
~/anaconda3/lib/python3.7/contextlib.py in __exit__(self, type, value, traceback)
128 value = type()
129 try:
--> 130 self.gen.throw(type, value, traceback)
131 except StopIteration as exc:
132 # Suppress StopIteration *unless* it's the same exception that
~/anaconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
723 from numba import config
724 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 725 six.reraise(type(newerr), newerr, tb)
726
727
~/anaconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
667 if value.__traceback__ is not tb:
668 raise value.with_traceback(tb)
--> 669 raise value
670
671 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
File "<ipython-input-1-1ddce8bd8630>", line 14:
def foo(zz, xx, yyh, yyhi, vv, vvi, tc, s, w, h, k):
<source elided>
for i in nb.prange(n):
^
[1] During: lowering "id=5[LoopNest(index_variable = parfor_index.104, range = (0, $n.119, 1))]{256: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 258: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 130: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 132: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 268: <ir.Block at <ipython-input-1-1ddce8bd8630> (25)>, 146: <ir.Block at <ipython-input-1-1ddce8bd8630> (19)>, 278: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 156: <ir.Block at <ipython-input-1-1ddce8bd8630> (18)>, 158: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 286: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 166: <ir.Block at <ipython-input-1-1ddce8bd8630> (20)>, 296: <ir.Block at <ipython-input-1-1ddce8bd8630> (27)>, 298: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 174: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 184: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 314: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 194: <ir.Block at <ipython-input-1-1ddce8bd8630> (22)>, 196: <ir.Block at <ipython-input-1-1ddce8bd8630> (23)>, 78: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 344: <ir.Block at <ipython-input-1-1ddce8bd8630> (29)>, 348: <ir.Block at <ipython-input-1-1ddce8bd8630> (28)>, 351: <ir.Block at <ipython-input-1-1ddce8bd8630> (30)>, 352: <ir.Block at <ipython-input-1-1ddce8bd8630> (14)>, 96: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 104: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 112: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>, 120: <ir.Block at <ipython-input-1-1ddce8bd8630> (17)>}Var(parfor_index.104, <ipython-input-1-1ddce8bd8630> (14))" at <ipython-input-1-1ddce8bd8630> (14)
|
AssertionError
|
def wrap_index(typingctx, idx, size):
"""
Calculate index value "idx" relative to a size "size" value as
(idx % size), where "size" is known to be positive.
Note that we use the mod(%) operation here instead of
(idx < 0 ? idx + size : idx) because we may have situations
where idx > size due to the way indices are calculated
during slice/range analysis.
"""
unified_ty = typingctx.unify_types(idx, size)
if not unified_ty:
raise ValueError("Argument types for wrap_index must match")
def codegen(context, builder, sig, args):
ll_unified_ty = context.get_data_type(unified_ty)
idx = builder.sext(args[0], ll_unified_ty)
size = builder.sext(args[1], ll_unified_ty)
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(ll_unified_ty, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
return signature(unified_ty, idx, size), codegen
|
def wrap_index(typingctx, idx, size):
"""
Calculate index value "idx" relative to a size "size" value as
(idx % size), where "size" is known to be positive.
Note that we use the mod(%) operation here instead of
(idx < 0 ? idx + size : idx) because we may have situations
where idx > size due to the way indices are calculated
during slice/range analysis.
"""
if idx != size:
raise ValueError("Argument types for wrap_index must match")
def codegen(context, builder, sig, args):
"""
assert(len(args) == 2)
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed('<', rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed('>=', wrapped_rem, size)
mod = builder.select(is_negative, wrapped_rem,
builder.select(is_oversize, rem, wrapped_rem))
return mod
"""
idx = args[0]
size = args[1]
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(idx.type, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
return signature(idx, idx, size), codegen
|
https://github.com/numba/numba/issues/5056
|
Traceback (most recent call last):
File "/home/phil/.PyCharm2019.3/config/scratches/scratch_1.py", line 12, in <module>
test(np.array([.3, .4, .5, .6]),np.array([0, 2, 4], dtype=np.int32))
File "/usr/lib/python3.8/site-packages/numba/dispatcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "/usr/lib/python3.8/site-packages/numba/dispatcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "/usr/lib/python3.8/site-packages/numba/six.py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<intrinsic wrap_index>) with argument(s) of type(s): (int32, int64)
* parameterized
In definition 0:
ValueError: Argument types for wrap_index must match
raised from /usr/lib/python3.8/site-packages/numba/array_analysis.py:72
In definition 1:
ValueError: Argument types for wrap_index must match
raised from /usr/lib/python3.8/site-packages/numba/array_analysis.py:72
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: resolving callee type: Function(<intrinsic wrap_index>)
[2] During: typing of call at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (9)
File "scratch_1.py", line 9:
def test(data, indptr):
<source elided>
start, end = indptr[i], indptr[i + 1]
sums[i] = np.sum(data[start:end])
^
[1] During: lowering "id=2[LoopNest(index_variable = parfor_index.50, range = (0, $34binary_subtract.15, 1))]{42: <ir.Block at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (7)>}Var(parfor_index.50, scratch_1.py:7)" at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (7)
|
numba.errors.TypingError
|
def codegen(context, builder, sig, args):
ll_unified_ty = context.get_data_type(unified_ty)
idx = builder.sext(args[0], ll_unified_ty)
size = builder.sext(args[1], ll_unified_ty)
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(ll_unified_ty, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
|
def codegen(context, builder, sig, args):
"""
assert(len(args) == 2)
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed('<', rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed('>=', wrapped_rem, size)
mod = builder.select(is_negative, wrapped_rem,
builder.select(is_oversize, rem, wrapped_rem))
return mod
"""
idx = args[0]
size = args[1]
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(idx.type, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
|
https://github.com/numba/numba/issues/5056
|
Traceback (most recent call last):
File "/home/phil/.PyCharm2019.3/config/scratches/scratch_1.py", line 12, in <module>
test(np.array([.3, .4, .5, .6]),np.array([0, 2, 4], dtype=np.int32))
File "/usr/lib/python3.8/site-packages/numba/dispatcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "/usr/lib/python3.8/site-packages/numba/dispatcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "/usr/lib/python3.8/site-packages/numba/six.py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython mode backend)
Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<intrinsic wrap_index>) with argument(s) of type(s): (int32, int64)
* parameterized
In definition 0:
ValueError: Argument types for wrap_index must match
raised from /usr/lib/python3.8/site-packages/numba/array_analysis.py:72
In definition 1:
ValueError: Argument types for wrap_index must match
raised from /usr/lib/python3.8/site-packages/numba/array_analysis.py:72
This error is usually caused by passing an argument of a type that is unsupported by the named function.
[1] During: resolving callee type: Function(<intrinsic wrap_index>)
[2] During: typing of call at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (9)
File "scratch_1.py", line 9:
def test(data, indptr):
<source elided>
start, end = indptr[i], indptr[i + 1]
sums[i] = np.sum(data[start:end])
^
[1] During: lowering "id=2[LoopNest(index_variable = parfor_index.50, range = (0, $34binary_subtract.15, 1))]{42: <ir.Block at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (7)>}Var(parfor_index.50, scratch_1.py:7)" at /home/phil/.PyCharm2019.3/config/scratches/scratch_1.py (7)
|
numba.errors.TypingError
|
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:
# Adjust for bound methods
folding_args = (
(fnty.this,) + tuple(self.args)
if isinstance(fnty, types.BoundFunction)
else self.args
)
folded = e.fold_arguments(folding_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 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)
|
https://github.com/numba/numba/issues/5011
|
======================================================================
ERROR: test_literally_with_overload_method (tests.test_hpat_jit.TestHpatJitIssues)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/mnt/data/hpat_fork/hpat_2/sdc/tests/test_hpat_jit.py", line 492, in test_literally_with_overload_method
print(jtest(5))
File "/mnt/data/numba_git/numba_master_master/numba/dispatcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "/mnt/data/numba_git/numba_master_master/numba/dispatcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "/mnt/data/numba_git/numba_master_master/numba/six.py", line 668, in reraise
raise value.with_traceback(tb)
numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Internal error at <numba.typeinfer.CallConstraint object at 0x7f1724938da0>.
missing a required argument: 'a'
[1] During: resolving callee type: BoundFunction((<class 'tests.test_hpat_jit.TestHpatJitIssues.test_literally_with_overload_method.<locals>.DummyType'>, 'lit') for dummy)
[2] During: typing of call at /mnt/data/hpat_fork/hpat_2/sdc/tests/test_hpat_jit.py (488)
Enable logging at debug level for details.
File "tests/test_hpat_jit.py", line 488:
def test_impl(a):
<source elided>
return d.lit(a)
^
|
numba.errors.TypingError
|
def fold_argument_types(self, args, kws):
"""
Given positional and named argument types, fold keyword arguments
and resolve defaults by inserting types.Omitted() instances.
A (pysig, argument types) tuple is returned.
"""
def normal_handler(index, param, value):
return value
def default_handler(index, param, default):
return types.Omitted(default)
def stararg_handler(index, param, values):
return types.StarArgTuple(values)
# For now, we take argument values from the @jit function, even
# in the case of generated jit.
args = fold_arguments(
self.pysig, args, kws, normal_handler, default_handler, stararg_handler
)
return self.pysig, args
|
def fold_argument_types(self, args, kws):
"""
Given positional and named argument types, fold keyword arguments
and resolve defaults by inserting types.Omitted() instances.
A (pysig, argument types) tuple is returned.
"""
def normal_handler(index, param, value):
return value
def default_handler(index, param, default):
return types.Omitted(default)
def stararg_handler(index, param, values):
return types.Tuple(values)
# For now, we take argument values from the @jit function, even
# in the case of generated jit.
args = fold_arguments(
self.pysig, args, kws, normal_handler, default_handler, stararg_handler
)
return self.pysig, args
|
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 stararg_handler(index, param, values):
return types.StarArgTuple(values)
|
def stararg_handler(index, param, values):
return types.Tuple(values)
|
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 = "UniTuple(%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)
self.dtype = UnionType(types)
name = "Tuple(%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 __new__(cls, types):
_HeterogeneousTuple.is_types_iterable(types)
if types and all(t == types[0] for t in types[1:]):
return StarArgUniTuple(dtype=types[0], count=len(types))
else:
return object.__new__(StarArgTuple)
|
def __new__(cls, types):
_HeterogeneousTuple.is_types_iterable(types)
if types and all(t == types[0] for t in types[1:]):
return UniTuple(dtype=types[0], count=len(types))
else:
return object.__new__(Tuple)
|
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 fold_arguments(pysig, args, kws, normal_handler, default_handler, stararg_handler):
"""
Given the signature *pysig*, explicit *args* and *kws*, resolve
omitted arguments and keyword arguments. A tuple of positional
arguments is returned.
Various handlers allow to process arguments:
- normal_handler(index, param, value) is called for normal arguments
- default_handler(index, param, default) is called for omitted arguments
- stararg_handler(index, param, values) is called for a "*args" argument
"""
# deal with kwonly args
params = pysig.parameters
kwonly = []
for name, p in params.items():
if p.kind == p.KEYWORD_ONLY:
kwonly.append(name)
if kwonly:
bind_args = args[: -len(kwonly)]
else:
bind_args = args
bind_kws = kws.copy()
if kwonly:
for idx, n in enumerate(kwonly):
bind_kws[n] = args[len(kwonly) + idx]
# now bind
ba = pysig.bind(*bind_args, **bind_kws)
for i, param in enumerate(pysig.parameters.values()):
name = param.name
default = param.default
if param.kind == param.VAR_POSITIONAL:
# stararg may be omitted, in which case its "default" value
# is simply the empty tuple
if name in ba.arguments:
argval = ba.arguments[name]
# NOTE: avoid wrapping the tuple type for stararg in another
# tuple.
if len(argval) == 1 and isinstance(
argval[0], (types.StarArgTuple, types.StarArgUniTuple)
):
argval = tuple(argval[0])
else:
argval = ()
out = stararg_handler(i, param, argval)
ba.arguments[name] = out
elif name in ba.arguments:
# Non-stararg, present
ba.arguments[name] = normal_handler(i, param, ba.arguments[name])
else:
# Non-stararg, omitted
assert default is not param.empty
ba.arguments[name] = default_handler(i, param, default)
# Collect args in the right order
args = tuple(ba.arguments[param.name] for param in pysig.parameters.values())
return args
|
def fold_arguments(pysig, args, kws, normal_handler, default_handler, stararg_handler):
"""
Given the signature *pysig*, explicit *args* and *kws*, resolve
omitted arguments and keyword arguments. A tuple of positional
arguments is returned.
Various handlers allow to process arguments:
- normal_handler(index, param, value) is called for normal arguments
- default_handler(index, param, default) is called for omitted arguments
- stararg_handler(index, param, values) is called for a "*args" argument
"""
# deal with kwonly args
params = pysig.parameters
kwonly = []
for name, p in params.items():
if p.kind == p.KEYWORD_ONLY:
kwonly.append(name)
if kwonly:
bind_args = args[: -len(kwonly)]
else:
bind_args = args
bind_kws = kws.copy()
if kwonly:
for idx, n in enumerate(kwonly):
bind_kws[n] = args[len(kwonly) + idx]
# now bind
ba = pysig.bind(*bind_args, **bind_kws)
for i, param in enumerate(pysig.parameters.values()):
name = param.name
default = param.default
if param.kind == param.VAR_POSITIONAL:
# stararg may be omitted, in which case its "default" value
# is simply the empty tuple
ba.arguments[name] = stararg_handler(i, param, ba.arguments.get(name, ()))
elif name in ba.arguments:
# Non-stararg, present
ba.arguments[name] = normal_handler(i, param, ba.arguments[name])
else:
# Non-stararg, omitted
assert default is not param.empty
ba.arguments[name] = default_handler(i, param, default)
# Collect args in the right order
args = tuple(ba.arguments[param.name] for param in pysig.parameters.values())
return args
|
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_live_variables(cfg, blocks, var_def_map, var_dead_map):
"""
Compute the live variables at the beginning of each block
and at each yield point.
The ``var_def_map`` and ``var_dead_map`` indicates the variable defined
and deleted at each block, respectively.
"""
# live var at the entry per block
block_entry_vars = defaultdict(set)
def fix_point_progress():
return tuple(map(len, block_entry_vars.values()))
old_point = None
new_point = fix_point_progress()
# Propagate defined variables and still live the successors.
# (note the entry block automatically gets an empty set)
# Note: This is finding the actual available variables at the entry
# of each block. The algorithm in compute_live_map() is finding
# the variable that must be available at the entry of each block.
# This is top-down in the dataflow. The other one is bottom-up.
while old_point != new_point:
# We iterate until the result stabilizes. This is necessary
# because of loops in the graphself.
for offset in blocks:
# vars available + variable defined
avail = block_entry_vars[offset] | var_def_map[offset]
# subtract variables deleted
avail -= var_dead_map[offset]
# add ``avail`` to each successors
for succ, _data in cfg.successors(offset):
block_entry_vars[succ] |= avail
old_point = new_point
new_point = fix_point_progress()
return block_entry_vars
|
def compute_live_variables(cfg, blocks, var_def_map, var_dead_map):
"""
Compute the live variables at the beginning of each block
and at each yield point.
The ``var_def_map`` and ``var_dead_map`` indicates the variable defined
and deleted at each block, respectively.
"""
# live var at the entry per block
block_entry_vars = defaultdict(set)
def fix_point_progress():
return tuple(map(len, block_entry_vars.values()))
old_point = None
new_point = fix_point_progress()
# Propagate defined variables and still live the successors.
# (note the entry block automatically gets an empty set)
# Note: This is finding the actual available variables at the entry
# of each block. The algorithm in compute_live_map() is finding
# the variable that must be available at the entry of each block.
# This is top-down in the dataflow. The other one is bottom-up.
while old_point != new_point:
# We iterate until the result stabilizes. This is necessary
# because of loops in the graphself.
for offset in blocks:
# vars available + variable defined
avail = block_entry_vars[offset] | var_def_map[offset]
# substract variables deleted
avail -= var_dead_map[offset]
# add ``avail`` to each successors
for succ, _data in cfg.successors(offset):
block_entry_vars[succ] |= avail
old_point = new_point
new_point = fix_point_progress()
return block_entry_vars
|
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_top_level_loops(cfg):
"""
A generator that yields toplevel loops given a control-flow-graph
"""
blocks_in_loop = set()
# get loop bodies
for loop in cfg.loops().values():
insiders = set(loop.body) | set(loop.entries) | set(loop.exits)
insiders.discard(loop.header)
blocks_in_loop |= insiders
# find loop that is not part of other loops
for loop in cfg.loops().values():
if loop.header not in blocks_in_loop:
yield _fix_loop_exit(cfg, loop)
|
def find_top_level_loops(cfg):
"""
A generator that yields toplevel loops given a control-flow-graph
"""
blocks_in_loop = set()
# get loop bodies
for loop in cfg.loops().values():
insiders = set(loop.body) | set(loop.entries) | set(loop.exits)
insiders.discard(loop.header)
blocks_in_loop |= insiders
# find loop that is not part of other loops
for loop in cfg.loops().values():
if loop.header not in blocks_in_loop:
yield loop
|
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 wrap_index(typingctx, idx, size):
"""
Calculate index value "idx" relative to a size "size" value as
(idx % size), where "size" is known to be positive.
Note that we use the mod(%) operation here instead of
(idx < 0 ? idx + size : idx) because we may have situations
where idx > size due to the way indices are calculated
during slice/range analysis.
"""
if idx != size:
raise ValueError("Argument types for wrap_index must match")
def codegen(context, builder, sig, args):
"""
assert(len(args) == 2)
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed('<', rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed('>=', wrapped_rem, size)
mod = builder.select(is_negative, wrapped_rem,
builder.select(is_oversize, rem, wrapped_rem))
return mod
"""
idx = args[0]
size = args[1]
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(idx.type, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
return signature(idx, idx, size), codegen
|
def wrap_index(typingctx, idx, size):
"""
Calculate index value "idx" relative to a size "size" value as
(idx % size), where "size" is known to be positive.
Note that we use the mod(%) operation here instead of
(idx < 0 ? idx + size : idx) because we may have situations
where idx > size due to the way indices are calculated
during slice/range analysis.
"""
if idx != size:
raise ValueError("Argument types for wrap_index must match")
def codegen(context, builder, sig, args):
assert len(args) == 2
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed("<", rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed(">", wrapped_rem, size)
mod = builder.select(
is_negative, wrapped_rem, builder.select(is_oversize, rem, wrapped_rem)
)
return mod
return signature(idx, idx, size), codegen
|
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 codegen(context, builder, sig, args):
"""
assert(len(args) == 2)
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed('<', rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed('>=', wrapped_rem, size)
mod = builder.select(is_negative, wrapped_rem,
builder.select(is_oversize, rem, wrapped_rem))
return mod
"""
idx = args[0]
size = args[1]
neg_size = builder.neg(size)
zero = llvmlite.ir.Constant(idx.type, 0)
idx_negative = builder.icmp_signed("<", idx, zero)
pos_oversize = builder.icmp_signed(">=", idx, size)
neg_oversize = builder.icmp_signed("<=", idx, neg_size)
pos_res = builder.select(pos_oversize, size, idx)
neg_res = builder.select(neg_oversize, zero, builder.add(idx, size))
mod = builder.select(idx_negative, neg_res, pos_res)
return mod
|
def codegen(context, builder, sig, args):
assert len(args) == 2
idx = args[0]
size = args[1]
rem = builder.srem(idx, size)
zero = llvmlite.ir.Constant(idx.type, 0)
is_negative = builder.icmp_signed("<", rem, zero)
wrapped_rem = builder.add(rem, size)
is_oversize = builder.icmp_signed(">", wrapped_rem, size)
mod = builder.select(
is_negative, wrapped_rem, builder.select(is_oversize, rem, wrapped_rem)
)
return mod
|
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 _insert(self, objs):
"""Base method that inserts a set of equivalent objects by modifying
self.
"""
assert len(objs) > 1
inds = tuple(self._get_or_add_ind(x) for x in objs)
ind = min(inds)
if config.DEBUG_ARRAY_OPT >= 2:
print("_insert:", objs, inds)
if not (ind in self.ind_to_obj):
self.ind_to_obj[ind] = []
for i, obj in zip(inds, objs):
if i == ind:
if not (obj in self.ind_to_obj[ind]):
self.ind_to_obj[ind].append(obj)
self.obj_to_ind[obj] = ind
else:
if i in self.ind_to_obj:
# those already existing are reassigned
for x in self.ind_to_obj[i]:
self.obj_to_ind[x] = ind
self.ind_to_obj[ind].append(x)
del self.ind_to_obj[i]
else:
# those that are new are assigned.
self.obj_to_ind[obj] = ind
self.ind_to_obj[ind].append(obj)
|
def _insert(self, objs):
"""Base method that inserts a set of equivalent objects by modifying
self.
"""
assert len(objs) > 1
inds = tuple(self._get_or_add_ind(x) for x in objs)
ind = min(inds)
if not (ind in self.ind_to_obj):
self.ind_to_obj[ind] = []
for i, obj in zip(inds, objs):
if i == ind:
if not (obj in self.ind_to_obj[ind]):
self.ind_to_obj[ind].append(obj)
self.obj_to_ind[obj] = ind
else:
if i in self.ind_to_obj:
# those already existing are reassigned
for x in self.ind_to_obj[i]:
self.obj_to_ind[x] = ind
self.ind_to_obj[ind].append(x)
del self.ind_to_obj[i]
else:
# those that are new are assigned.
self.obj_to_ind[obj] = ind
self.ind_to_obj[ind].append(obj)
|
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, blocks=None, equiv_set=None):
"""run array shape analysis on the given IR blocks, resulting in
modified IR and finalized EquivSet for each block.
"""
if blocks == None:
blocks = self.func_ir.blocks
self.func_ir._definitions = build_definitions(self.func_ir.blocks)
if equiv_set == None:
init_equiv_set = SymbolicEquivSet(self.typemap)
else:
init_equiv_set = equiv_set
aa_count_save = ArrayAnalysis.aa_count
ArrayAnalysis.aa_count += 1
if config.DEBUG_ARRAY_OPT >= 1:
print("Starting ArrayAnalysis:", aa_count_save)
dprint_func_ir(self.func_ir, "before array analysis", blocks)
if config.DEBUG_ARRAY_OPT >= 1:
print("ArrayAnalysis variable types: ", sorted(self.typemap.items()))
print("ArrayAnalysis call types: ", self.calltypes)
cfg = compute_cfg_from_blocks(blocks)
topo_order = find_topo_order(blocks, cfg=cfg)
# Traverse blocks in topological order
for label in topo_order:
if config.DEBUG_ARRAY_OPT >= 2:
print("Processing block:", label)
block = blocks[label]
scope = block.scope
new_body = []
equiv_set = None
# equiv_set is the intersection of predecessors
preds = cfg.predecessors(label)
# some incoming edge may be pruned due to prior analysis
if label in self.pruned_predecessors:
pruned = self.pruned_predecessors[label]
else:
pruned = []
# Go through each incoming edge, process prepended instructions and
# calculate beginning equiv_set of current block as an intersection
# of incoming ones.
for p, q in preds:
if p in pruned:
continue
if p in self.equiv_sets:
from_set = self.equiv_sets[p].clone()
if (p, label) in self.prepends:
instrs = self.prepends[(p, label)]
for inst in instrs:
redefined = set()
self._analyze_inst(label, scope, from_set, inst, redefined)
# Remove anything multiply defined in this block
# from every block equivs.
self.remove_redefineds(redefined)
if equiv_set == None:
equiv_set = from_set
else:
equiv_set = equiv_set.intersect(from_set)
redefined = set()
equiv_set.union_defs(from_set.defs, redefined)
# Remove anything multiply defined in this block
# from every block equivs.
self.remove_redefineds(redefined)
# Start with a new equiv_set if none is computed
if equiv_set == None:
equiv_set = init_equiv_set
self.equiv_sets[label] = equiv_set
# Go through instructions in a block, and insert pre/post
# instructions as we analyze them.
for inst in block.body:
redefined = set()
if isinstance(inst, ir.StaticSetItem):
orig_calltype = self.calltypes[inst]
inst = ir.SetItem(inst.target, inst.index_var, inst.value, inst.loc)
self.calltypes[inst] = orig_calltype
pre, post = self._analyze_inst(label, scope, equiv_set, inst, redefined)
# Remove anything multiply defined in this block from every block equivs.
self.remove_redefineds(redefined)
for instr in pre:
new_body.append(instr)
new_body.append(inst)
for instr in post:
new_body.append(instr)
block.body = new_body
if config.DEBUG_ARRAY_OPT >= 1:
self.dump()
print("ArrayAnalysis post variable types: ", sorted(self.typemap.items()))
print("ArrayAnalysis post call types: ", self.calltypes)
dprint_func_ir(self.func_ir, "after array analysis", blocks)
if config.DEBUG_ARRAY_OPT >= 1:
print("Ending ArrayAnalysis:", aa_count_save)
|
def run(self, blocks=None, equiv_set=None):
"""run array shape analysis on the given IR blocks, resulting in
modified IR and finalized EquivSet for each block.
"""
if blocks == None:
blocks = self.func_ir.blocks
self.func_ir._definitions = build_definitions(self.func_ir.blocks)
if equiv_set == None:
init_equiv_set = SymbolicEquivSet(self.typemap)
else:
init_equiv_set = equiv_set
dprint_func_ir(self.func_ir, "before array analysis", blocks)
if config.DEBUG_ARRAY_OPT >= 1:
print("ArrayAnalysis variable types: ", sorted(self.typemap.items()))
print("ArrayAnalysis call types: ", self.calltypes)
cfg = compute_cfg_from_blocks(blocks)
topo_order = find_topo_order(blocks, cfg=cfg)
# Traverse blocks in topological order
for label in topo_order:
block = blocks[label]
scope = block.scope
new_body = []
equiv_set = None
# equiv_set is the intersection of predecessors
preds = cfg.predecessors(label)
# some incoming edge may be pruned due to prior analysis
if label in self.pruned_predecessors:
pruned = self.pruned_predecessors[label]
else:
pruned = []
# Go through each incoming edge, process prepended instructions and
# calculate beginning equiv_set of current block as an intersection
# of incoming ones.
for p, q in preds:
if p in pruned:
continue
if p in self.equiv_sets:
from_set = self.equiv_sets[p].clone()
if (p, label) in self.prepends:
instrs = self.prepends[(p, label)]
for inst in instrs:
redefined = set()
self._analyze_inst(label, scope, from_set, inst, redefined)
# Remove anything multiply defined in this block
# from every block equivs.
self.remove_redefineds(redefined)
if equiv_set == None:
equiv_set = from_set
else:
equiv_set = equiv_set.intersect(from_set)
redefined = set()
equiv_set.union_defs(from_set.defs, redefined)
# Remove anything multiply defined in this block
# from every block equivs.
self.remove_redefineds(redefined)
# Start with a new equiv_set if none is computed
if equiv_set == None:
equiv_set = init_equiv_set
self.equiv_sets[label] = equiv_set
# Go through instructions in a block, and insert pre/post
# instructions as we analyze them.
for inst in block.body:
redefined = set()
pre, post = self._analyze_inst(label, scope, equiv_set, inst, redefined)
# Remove anything multiply defined in this block from every block equivs.
self.remove_redefineds(redefined)
for instr in pre:
new_body.append(instr)
new_body.append(inst)
for instr in post:
new_body.append(instr)
block.body = new_body
if config.DEBUG_ARRAY_OPT >= 1:
self.dump()
print("ArrayAnalysis post variable types: ", sorted(self.typemap.items()))
print("ArrayAnalysis post call types: ", self.calltypes)
dprint_func_ir(self.func_ir, "after array analysis", blocks)
|
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 _analyze_inst(self, label, scope, equiv_set, inst, redefined):
pre = []
post = []
if config.DEBUG_ARRAY_OPT >= 2:
print("analyze_inst:", inst)
if isinstance(inst, ir.Assign):
lhs = inst.target
typ = self.typemap[lhs.name]
shape = None
if isinstance(typ, types.ArrayCompatible) and typ.ndim == 0:
shape = ()
elif isinstance(inst.value, ir.Expr):
result = self._analyze_expr(scope, equiv_set, inst.value)
if result:
shape = result[0]
pre = result[1]
if len(result) > 2:
rhs = result[2]
inst.value = rhs
elif isinstance(inst.value, ir.Var) or isinstance(inst.value, ir.Const):
shape = inst.value
if isinstance(shape, ir.Const):
if isinstance(shape.value, tuple):
loc = shape.loc
shape = tuple(ir.Const(x, loc) for x in shape.value)
elif isinstance(shape.value, int):
shape = (shape,)
else:
shape = None
elif isinstance(shape, ir.Var) and isinstance(
self.typemap[shape.name], types.Integer
):
shape = (shape,)
elif isinstance(shape, WrapIndexMeta):
""" Here we've got the special WrapIndexMeta object
back from analyzing a wrap_index call. We define
the lhs and then get it's equivalence class then
add the mapping from the tuple of slice size and
dimensional size equivalence ids to the lhs
equivalence id.
"""
equiv_set.define(lhs, redefined, self.func_ir, typ)
lhs_ind = equiv_set._get_ind(lhs.name)
if lhs_ind != -1:
equiv_set.wrap_map[(shape.slice_size, shape.dim_size)] = lhs_ind
return pre, post
if isinstance(typ, types.ArrayCompatible):
if (
shape == None
or isinstance(shape, tuple)
or (isinstance(shape, ir.Var) and not equiv_set.has_shape(shape))
):
(shape, post) = self._gen_shape_call(equiv_set, lhs, typ.ndim, shape)
elif isinstance(typ, types.UniTuple):
if shape and isinstance(typ.dtype, types.Integer):
(shape, post) = self._gen_shape_call(equiv_set, lhs, len(typ), shape)
if shape != None:
equiv_set.insert_equiv(lhs, shape)
equiv_set.define(lhs, redefined, self.func_ir, typ)
elif isinstance(inst, ir.StaticSetItem) or isinstance(inst, ir.SetItem):
index = inst.index if isinstance(inst, ir.SetItem) else inst.index_var
result = guard(self._index_to_shape, scope, equiv_set, inst.target, index)
if not result:
return [], []
if result[0] is not None:
assert isinstance(inst, ir.SetItem)
inst.index = result[0]
# inst.index_var = result[0]
result = result[1]
(target_shape, pre) = result
value_shape = equiv_set.get_shape(inst.value)
if value_shape == (): # constant
equiv_set.set_shape_setitem(inst, target_shape)
return pre, []
elif value_shape != None:
target_typ = self.typemap[inst.target.name]
require(isinstance(target_typ, types.ArrayCompatible))
target_ndim = target_typ.ndim
shapes = [target_shape, value_shape]
names = [inst.target.name, inst.value.name]
shape, asserts = self._broadcast_assert_shapes(
scope, equiv_set, inst.loc, shapes, names
)
n = len(shape)
# shape dimension must be within target dimension
assert target_ndim >= n
equiv_set.set_shape_setitem(inst, shape)
return pre + asserts, []
else:
return pre, []
elif isinstance(inst, ir.Branch):
cond_var = inst.cond
cond_def = guard(get_definition, self.func_ir, cond_var)
if not cond_def: # phi variable has no single definition
# We'll use equiv_set to try to find a cond_def instead
equivs = equiv_set.get_equiv_set(cond_var)
defs = []
for name in equivs:
if isinstance(name, str) and name in self.typemap:
var_def = guard(get_definition, self.func_ir, name, lhs_only=True)
if isinstance(var_def, ir.Var):
var_def = var_def.name
if var_def:
defs.append(var_def)
else:
defs.append(name)
defvars = set(filter(lambda x: isinstance(x, str), defs))
defconsts = set(defs).difference(defvars)
if len(defconsts) == 1:
cond_def = list(defconsts)[0]
elif len(defvars) == 1:
cond_def = guard(get_definition, self.func_ir, list(defvars)[0])
if isinstance(cond_def, ir.Expr) and cond_def.op == "binop":
br = None
if cond_def.fn == operator.eq:
br = inst.truebr
otherbr = inst.falsebr
cond_val = 1
elif cond_def.fn == operator.ne:
br = inst.falsebr
otherbr = inst.truebr
cond_val = 0
lhs_typ = self.typemap[cond_def.lhs.name]
rhs_typ = self.typemap[cond_def.rhs.name]
if br != None and (
(
isinstance(lhs_typ, types.Integer)
and isinstance(rhs_typ, types.Integer)
)
or (
isinstance(lhs_typ, types.BaseTuple)
and isinstance(rhs_typ, types.BaseTuple)
)
):
loc = inst.loc
args = (cond_def.lhs, cond_def.rhs)
asserts = self._make_assert_equiv(scope, loc, equiv_set, args)
asserts.append(ir.Assign(ir.Const(cond_val, loc), cond_var, loc))
self.prepends[(label, br)] = asserts
self.prepends[(label, otherbr)] = [
ir.Assign(ir.Const(1 - cond_val, loc), cond_var, loc)
]
else:
if isinstance(cond_def, ir.Const):
cond_def = cond_def.value
if isinstance(cond_def, int) or isinstance(cond_def, bool):
# condition is always true/false, prune the outgoing edge
pruned_br = inst.falsebr if cond_def else inst.truebr
if pruned_br in self.pruned_predecessors:
self.pruned_predecessors[pruned_br].append(label)
else:
self.pruned_predecessors[pruned_br] = [label]
elif type(inst) in array_analysis_extensions:
# let external calls handle stmt if type matches
f = array_analysis_extensions[type(inst)]
pre, post = f(inst, equiv_set, self.typemap, self)
return pre, post
|
def _analyze_inst(self, label, scope, equiv_set, inst, redefined):
pre = []
post = []
if isinstance(inst, ir.Assign):
lhs = inst.target
typ = self.typemap[lhs.name]
shape = None
if isinstance(typ, types.ArrayCompatible) and typ.ndim == 0:
shape = ()
elif isinstance(inst.value, ir.Expr):
result = self._analyze_expr(scope, equiv_set, inst.value)
if result:
shape = result[0]
pre = result[1]
if len(result) > 2:
rhs = result[2]
inst.value = rhs
elif isinstance(inst.value, ir.Var) or isinstance(inst.value, ir.Const):
shape = inst.value
if isinstance(shape, ir.Const):
if isinstance(shape.value, tuple):
loc = shape.loc
shape = tuple(ir.Const(x, loc) for x in shape.value)
elif isinstance(shape.value, int):
shape = (shape,)
else:
shape = None
elif isinstance(shape, ir.Var) and isinstance(
self.typemap[shape.name], types.Integer
):
shape = (shape,)
elif isinstance(shape, WrapIndexMeta):
""" Here we've got the special WrapIndexMeta object
back from analyzing a wrap_index call. We define
the lhs and then get it's equivalence class then
add the mapping from the tuple of slice size and
dimensional size equivalence ids to the lhs
equivalence id.
"""
equiv_set.define(lhs, redefined, self.func_ir, typ)
lhs_ind = equiv_set._get_ind(lhs.name)
if lhs_ind != -1:
equiv_set.wrap_map[(shape.slice_size, shape.dim_size)] = lhs_ind
return pre, post
if isinstance(typ, types.ArrayCompatible):
if (
shape == None
or isinstance(shape, tuple)
or (isinstance(shape, ir.Var) and not equiv_set.has_shape(shape))
):
(shape, post) = self._gen_shape_call(equiv_set, lhs, typ.ndim, shape)
elif isinstance(typ, types.UniTuple):
if shape and isinstance(typ.dtype, types.Integer):
(shape, post) = self._gen_shape_call(equiv_set, lhs, len(typ), shape)
if shape != None:
equiv_set.insert_equiv(lhs, shape)
equiv_set.define(lhs, redefined, self.func_ir, typ)
elif isinstance(inst, ir.StaticSetItem) or isinstance(inst, ir.SetItem):
index = inst.index if isinstance(inst, ir.SetItem) else inst.index_var
result = guard(self._index_to_shape, scope, equiv_set, inst.target, index)
if not result:
return [], []
if result[0] is not None:
inst.index_var = result[0]
result = result[1]
(target_shape, pre) = result
value_shape = equiv_set.get_shape(inst.value)
if value_shape == (): # constant
equiv_set.set_shape_setitem(inst, target_shape)
return pre, []
elif value_shape != None:
target_typ = self.typemap[inst.target.name]
require(isinstance(target_typ, types.ArrayCompatible))
target_ndim = target_typ.ndim
shapes = [target_shape, value_shape]
names = [inst.target.name, inst.value.name]
shape, asserts = self._broadcast_assert_shapes(
scope, equiv_set, inst.loc, shapes, names
)
n = len(shape)
# shape dimension must be within target dimension
assert target_ndim >= n
equiv_set.set_shape_setitem(inst, shape)
return pre + asserts, []
else:
return pre, []
elif isinstance(inst, ir.Branch):
cond_var = inst.cond
cond_def = guard(get_definition, self.func_ir, cond_var)
if not cond_def: # phi variable has no single definition
# We'll use equiv_set to try to find a cond_def instead
equivs = equiv_set.get_equiv_set(cond_var)
defs = []
for name in equivs:
if isinstance(name, str) and name in self.typemap:
var_def = guard(get_definition, self.func_ir, name, lhs_only=True)
if isinstance(var_def, ir.Var):
var_def = var_def.name
if var_def:
defs.append(var_def)
else:
defs.append(name)
defvars = set(filter(lambda x: isinstance(x, str), defs))
defconsts = set(defs).difference(defvars)
if len(defconsts) == 1:
cond_def = list(defconsts)[0]
elif len(defvars) == 1:
cond_def = guard(get_definition, self.func_ir, list(defvars)[0])
if isinstance(cond_def, ir.Expr) and cond_def.op == "binop":
br = None
if cond_def.fn == operator.eq:
br = inst.truebr
otherbr = inst.falsebr
cond_val = 1
elif cond_def.fn == operator.ne:
br = inst.falsebr
otherbr = inst.truebr
cond_val = 0
lhs_typ = self.typemap[cond_def.lhs.name]
rhs_typ = self.typemap[cond_def.rhs.name]
if br != None and (
(
isinstance(lhs_typ, types.Integer)
and isinstance(rhs_typ, types.Integer)
)
or (
isinstance(lhs_typ, types.BaseTuple)
and isinstance(rhs_typ, types.BaseTuple)
)
):
loc = inst.loc
args = (cond_def.lhs, cond_def.rhs)
asserts = self._make_assert_equiv(scope, loc, equiv_set, args)
asserts.append(ir.Assign(ir.Const(cond_val, loc), cond_var, loc))
self.prepends[(label, br)] = asserts
self.prepends[(label, otherbr)] = [
ir.Assign(ir.Const(1 - cond_val, loc), cond_var, loc)
]
else:
if isinstance(cond_def, ir.Const):
cond_def = cond_def.value
if isinstance(cond_def, int) or isinstance(cond_def, bool):
# condition is always true/false, prune the outgoing edge
pruned_br = inst.falsebr if cond_def else inst.truebr
if pruned_br in self.pruned_predecessors:
self.pruned_predecessors[pruned_br].append(label)
else:
self.pruned_predecessors[pruned_br] = [label]
elif type(inst) in array_analysis_extensions:
# let external calls handle stmt if type matches
f = array_analysis_extensions[type(inst)]
pre, post = f(inst, equiv_set, self.typemap, self)
return pre, post
|
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 gen_explicit_neg(
self, arg, arg_rel, arg_typ, size_typ, loc, scope, dsize, stmts, equiv_set
):
assert not isinstance(size_typ, int)
# Create var to hold the calculated slice size.
explicit_neg_var = ir.Var(scope, mk_unique_var("explicit_neg"), loc)
explicit_neg_val = ir.Expr.binop(operator.add, dsize, arg, loc=loc)
# Determine the type of that var. Can be literal if we know the
# literal size of the dimension.
explicit_neg_typ = types.intp
self.calltypes[explicit_neg_val] = signature(explicit_neg_typ, size_typ, arg_typ)
# We'll prepend this slice size calculation to the get/setitem.
stmts.append(ir.Assign(value=explicit_neg_val, target=explicit_neg_var, loc=loc))
self._define(equiv_set, explicit_neg_var, explicit_neg_typ, explicit_neg_val)
return explicit_neg_var, explicit_neg_typ
|
def gen_explicit_neg(
self, arg, arg_rel, arg_typ, size_typ, loc, scope, dsize, stmts, equiv_set
):
# Create var to hold the calculated slice size.
explicit_neg_var = ir.Var(scope, mk_unique_var("explicit_neg"), loc)
explicit_neg_val = ir.Expr.binop(operator.add, dsize, arg, loc=loc)
# Determine the type of that var. Can be literal if we know the
# literal size of the dimension.
if isinstance(size_typ, int):
explicit_neg_typ = types.IntegerLiteral(size_typ + arg_rel)
else:
explicit_neg_typ = types.intp
self.calltypes[explicit_neg_val] = signature(explicit_neg_typ, size_typ, arg_typ)
# We'll prepend this slice size calculation to the get/setitem.
stmts.append(ir.Assign(value=explicit_neg_val, target=explicit_neg_var, loc=loc))
self._define(equiv_set, explicit_neg_var, explicit_neg_typ, explicit_neg_val)
return explicit_neg_var, explicit_neg_typ
|
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 slice_size(self, index, dsize, equiv_set, scope, stmts):
"""Reason about the size of a slice represented by the "index"
variable, and return a variable that has this size data, or
raise GuardException if it cannot reason about it.
The computation takes care of negative values used in the slice
with respect to the given dimensional size ("dsize").
Extra statments required to produce the result are appended
to parent function's stmts list.
"""
loc = index.loc
# Get the definition of the index variable.
index_def = get_definition(self.func_ir, index)
fname, mod_name = find_callname(self.func_ir, index_def, typemap=self.typemap)
require(fname == "slice" and mod_name in ("__builtin__", "builtins"))
require(len(index_def.args) == 2)
lhs = index_def.args[0]
rhs = index_def.args[1]
size_typ = self.typemap[dsize.name]
lhs_typ = self.typemap[lhs.name]
rhs_typ = self.typemap[rhs.name]
if config.DEBUG_ARRAY_OPT >= 2:
print(
"slice_size",
"index=",
index,
"dsize=",
dsize,
"index_def=",
index_def,
"lhs=",
lhs,
"rhs=",
rhs,
"size_typ=",
size_typ,
"lhs_typ=",
lhs_typ,
"rhs_typ=",
rhs_typ,
)
# Make a deepcopy of the original slice to use as the
# replacement slice, which we will modify as necessary
# below to convert all negative constants in the slice
# to be relative to the dimension size.
replacement_slice = copy.deepcopy(index_def)
need_replacement = False
# Fill in the left side of the slice's ":" with 0 if it wasn't specified.
if isinstance(lhs_typ, types.NoneType):
zero_var = ir.Var(scope, mk_unique_var("zero"), loc)
zero = ir.Const(0, loc)
stmts.append(ir.Assign(value=zero, target=zero_var, loc=loc))
self._define(equiv_set, zero_var, types.IntegerLiteral(0), zero)
lhs = zero_var
lhs_typ = types.IntegerLiteral(0)
replacement_slice.args = (lhs, replacement_slice.args[1])
need_replacement = True
if config.DEBUG_ARRAY_OPT >= 2:
print("Replacing slice because lhs is None.")
# Fill in the right side of the slice's ":" with the array
# length if it wasn't specified.
if isinstance(rhs_typ, types.NoneType):
rhs = dsize
rhs_typ = size_typ
replacement_slice.args = (replacement_slice.args[0], rhs)
need_replacement = True
if config.DEBUG_ARRAY_OPT >= 2:
print("Replacing slice because lhs is None.")
lhs_rel = equiv_set.get_rel(lhs)
rhs_rel = equiv_set.get_rel(rhs)
dsize_rel = equiv_set.get_rel(dsize)
if config.DEBUG_ARRAY_OPT >= 2:
print("lhs_rel", lhs_rel, "rhs_rel", rhs_rel, "dsize_rel", dsize_rel)
# Update replacement slice with the real index value if we can
# compute it at compile time.
lhs, lhs_typ, lhs_rel, replacement_slice, need_replacement, lhs_known = (
self.update_replacement_slice(
lhs,
lhs_typ,
lhs_rel,
dsize_rel,
replacement_slice,
0,
need_replacement,
loc,
scope,
stmts,
equiv_set,
size_typ,
dsize,
)
)
rhs, rhs_typ, rhs_rel, replacement_slice, need_replacement, rhs_known = (
self.update_replacement_slice(
rhs,
rhs_typ,
rhs_rel,
dsize_rel,
replacement_slice,
1,
need_replacement,
loc,
scope,
stmts,
equiv_set,
size_typ,
dsize,
)
)
if config.DEBUG_ARRAY_OPT >= 2:
print("lhs_known:", lhs_known)
print("rhs_known:", rhs_known)
# If neither of the parts of the slice were negative constants
# then we don't need to do slice replacement in the IR.
if not need_replacement:
replacement_slice_var = None
else:
# Create a new var for the replacement slice.
replacement_slice_var = ir.Var(scope, mk_unique_var("replacement_slice"), loc)
# Create a deepcopy of slice calltype so that when we change it below
# the original isn't changed. Make the types of the parts of the slice
# intp.
new_arg_typs = (types.intp, types.intp)
rs_calltype = self.typemap[index_def.func.name].get_call_type(
self.context, new_arg_typs, {}
)
self.calltypes[replacement_slice] = rs_calltype
stmts.append(
ir.Assign(value=replacement_slice, target=replacement_slice_var, loc=loc)
)
# The type of the replacement slice is the same type as the original.
self.typemap[replacement_slice_var.name] = self.typemap[index.name]
if config.DEBUG_ARRAY_OPT >= 2:
print("after rewriting negatives", "lhs_rel", lhs_rel, "rhs_rel", rhs_rel)
if lhs_known and rhs_known:
if config.DEBUG_ARRAY_OPT >= 2:
print("lhs and rhs known so return static size")
return self.gen_static_slice_size(
lhs_rel, rhs_rel, loc, scope, stmts, equiv_set
), replacement_slice_var
if (
lhs_rel == 0
and isinstance(rhs_rel, tuple)
and equiv_set.is_equiv(dsize, rhs_rel[0])
and rhs_rel[1] == 0
):
return dsize, None
slice_typ = types.intp
orig_slice_typ = slice_typ
size_var = ir.Var(scope, mk_unique_var("slice_size"), loc)
size_val = ir.Expr.binop(operator.sub, rhs, lhs, loc=loc)
self.calltypes[size_val] = signature(slice_typ, rhs_typ, lhs_typ)
self._define(equiv_set, size_var, slice_typ, size_val)
size_rel = equiv_set.get_rel(size_var)
if config.DEBUG_ARRAY_OPT >= 2:
print("size_rel", size_rel, type(size_rel))
wrap_var = ir.Var(scope, mk_unique_var("wrap"), loc)
wrap_def = ir.Global("wrap_index", wrap_index, loc=loc)
fnty = get_global_func_typ(wrap_index)
sig = self.context.resolve_function_type(
fnty,
(
orig_slice_typ,
size_typ,
),
{},
)
self._define(equiv_set, wrap_var, fnty, wrap_def)
def gen_wrap_if_not_known(val, val_typ, known):
if not known:
var = ir.Var(scope, mk_unique_var("var"), loc)
var_typ = types.intp
new_value = ir.Expr.call(wrap_var, [val, dsize], {}, loc)
self._define(equiv_set, var, var_typ, new_value)
self.calltypes[new_value] = sig
return (var, var_typ, new_value)
else:
return (val, val_typ, None)
var1, var1_typ, value1 = gen_wrap_if_not_known(lhs, lhs_typ, lhs_known)
var2, var2_typ, value2 = gen_wrap_if_not_known(rhs, rhs_typ, rhs_known)
post_wrap_size_var = ir.Var(scope, mk_unique_var("post_wrap_slice_size"), loc)
post_wrap_size_val = ir.Expr.binop(operator.sub, var2, var1, loc=loc)
self.calltypes[post_wrap_size_val] = signature(slice_typ, var2_typ, var1_typ)
self._define(equiv_set, post_wrap_size_var, slice_typ, post_wrap_size_val)
stmts.append(ir.Assign(value=size_val, target=size_var, loc=loc))
stmts.append(ir.Assign(value=wrap_def, target=wrap_var, loc=loc))
if value1 is not None:
stmts.append(ir.Assign(value=value1, target=var1, loc=loc))
if value2 is not None:
stmts.append(ir.Assign(value=value2, target=var2, loc=loc))
stmts.append(
ir.Assign(value=post_wrap_size_val, target=post_wrap_size_var, loc=loc)
)
# rel_map keeps a map of relative sizes that we have seen so
# that if we compute the same relative sizes different times
# in different ways we can associate those two instances
# of the same relative size to the same equivalence class.
if isinstance(size_rel, tuple):
if config.DEBUG_ARRAY_OPT >= 2:
print("size_rel is tuple", equiv_set.rel_map)
rel_map_entry = None
for rme, rme_tuple in equiv_set.rel_map.items():
if rme[1] == size_rel[1] and equiv_set.is_equiv(rme[0], size_rel[0]):
rel_map_entry = rme_tuple
break
if rel_map_entry is not None:
# We have seen this relative size before so establish
# equivalence to the previous variable.
if config.DEBUG_ARRAY_OPT >= 2:
print("establishing equivalence to", rel_map_entry)
equiv_set.insert_equiv(size_var, rel_map_entry[0])
equiv_set.insert_equiv(post_wrap_size_var, rel_map_entry[1])
else:
# The first time we've seen this relative size so
# remember the variable defining that size.
equiv_set.rel_map[size_rel] = (size_var, post_wrap_size_var)
return post_wrap_size_var, replacement_slice_var
|
def slice_size(self, index, dsize, equiv_set, scope, stmts):
"""Reason about the size of a slice represented by the "index"
variable, and return a variable that has this size data, or
raise GuardException if it cannot reason about it.
The computation takes care of negative values used in the slice
with respect to the given dimensional size ("dsize").
Extra statments required to produce the result are appended
to parent function's stmts list.
"""
loc = index.loc
# Get the definition of the index variable.
index_def = get_definition(self.func_ir, index)
fname, mod_name = find_callname(self.func_ir, index_def, typemap=self.typemap)
require(fname == "slice" and mod_name in ("__builtin__", "builtins"))
require(len(index_def.args) == 2)
lhs = index_def.args[0]
rhs = index_def.args[1]
size_typ = self.typemap[dsize.name]
lhs_typ = self.typemap[lhs.name]
rhs_typ = self.typemap[rhs.name]
if config.DEBUG_ARRAY_OPT >= 2:
print(
"slice_size",
"index",
index,
"dsize",
dsize,
"index_def",
index_def,
"lhs",
lhs,
"rhs",
rhs,
"size_typ",
size_typ,
"lhs_typ",
lhs_typ,
"rhs_typ",
rhs_typ,
)
# Fill in the left side of the slice's ":" with 0 if it wasn't specified.
if isinstance(lhs_typ, types.NoneType):
zero_var = ir.Var(scope, mk_unique_var("zero"), loc)
zero = ir.Const(0, loc)
stmts.append(ir.Assign(value=zero, target=zero_var, loc=loc))
self._define(equiv_set, zero_var, types.IntegerLiteral(0), zero)
lhs = zero_var
lhs_typ = types.IntegerLiteral(0)
# Fill in the right side of the slice's ":" with the array
# length if it wasn't specified.
if isinstance(rhs_typ, types.NoneType):
rhs = dsize
rhs_typ = size_typ
lhs_rel = equiv_set.get_rel(lhs)
rhs_rel = equiv_set.get_rel(rhs)
if config.DEBUG_ARRAY_OPT >= 2:
print("lhs_rel", lhs_rel, "rhs_rel", rhs_rel)
# Make a deepcopy of the original slice to use as the
# replacement slice, which we will modify as necessary
# below to convert all negative constants in the slice
# to be relative to the dimension size.
replacement_slice = copy.deepcopy(index_def)
need_replacement = False
# If the first part of the slice is a constant N then check if N
# is negative. If so, then rewrite the first part of the slice
# to be "dsize - N". This is necessary because later steps will
# try to compute slice size with a subtraction which wouldn't work
# if any part of the slice was negative.
if isinstance(lhs_rel, int):
if lhs_rel < 0:
# Indicate we will need to replace the slice var.
need_replacement = True
explicit_neg_var, explicit_neg_typ = self.gen_explicit_neg(
lhs, lhs_rel, lhs_typ, size_typ, loc, scope, dsize, stmts, equiv_set
)
replacement_slice.args = (explicit_neg_var, rhs)
# Update lhs information with the negative removed.
lhs = replacement_slice.args[0]
lhs_typ = explicit_neg_typ
lhs_rel = equiv_set.get_rel(lhs)
# If the second part of the slice is a constant N then check if N
# is negative. If so, then rewrite the second part of the slice
# to be "dsize - N". This is necessary because later steps will
# try to compute slice size with a subtraction which wouldn't work
# if any part of the slice was negative.
if isinstance(rhs_rel, int):
if rhs_rel < 0:
# Indicate we will need to replace the slice var.
need_replacement = True
explicit_neg_var, explicit_neg_typ = self.gen_explicit_neg(
rhs, rhs_rel, rhs_typ, size_typ, loc, scope, dsize, stmts, equiv_set
)
replacement_slice.args = (lhs, explicit_neg_var)
# Update rhs information with the negative removed.
rhs = replacement_slice.args[1]
rhs_typ = explicit_neg_typ
rhs_rel = equiv_set.get_rel(rhs)
# If neither of the parts of the slice were negative constants
# then we don't need to do slice replacement in the IR.
if not need_replacement:
replacement_slice_var = None
else:
# Create a new var for the replacement slice.
replacement_slice_var = ir.Var(scope, mk_unique_var("replacement_slice"), loc)
# Create a deepcopy of slice calltype so that when we change it below
# the original isn't changed. Make the types of the parts of the slice
# intp.
new_arg_typs = (types.intp, types.intp)
rs_calltype = self.typemap[index_def.func.name].get_call_type(
self.context, new_arg_typs, {}
)
self.calltypes[replacement_slice] = rs_calltype
stmts.append(
ir.Assign(value=replacement_slice, target=replacement_slice_var, loc=loc)
)
# The type of the replacement slice is the same type as the original.
self.typemap[replacement_slice_var.name] = self.typemap[index.name]
if config.DEBUG_ARRAY_OPT >= 2:
print("after rewriting negatives", "lhs_rel", lhs_rel, "rhs_rel", rhs_rel)
if (
lhs_rel == 0
and isinstance(rhs_rel, tuple)
and equiv_set.is_equiv(dsize, rhs_rel[0])
and rhs_rel[1] == 0
):
return dsize, None
slice_typ = types.intp
size_var = ir.Var(scope, mk_unique_var("slice_size"), loc)
size_val = ir.Expr.binop(operator.sub, rhs, lhs, loc=loc)
self.calltypes[size_val] = signature(slice_typ, rhs_typ, lhs_typ)
self._define(equiv_set, size_var, slice_typ, size_val)
# short cut size_val to a constant if its relation is known to be
# a constant
size_rel = equiv_set.get_rel(size_var)
if config.DEBUG_ARRAY_OPT >= 2:
print("size_var", size_var, "size_val", size_val, "size_rel", size_rel)
if isinstance(size_rel, int):
size_val = ir.Const(size_rel, loc=loc)
size_var = ir.Var(scope, mk_unique_var("slice_size"), loc)
slice_typ = types.IntegerLiteral(size_rel)
self._define(equiv_set, size_var, slice_typ, size_val)
if config.DEBUG_ARRAY_OPT >= 2:
print("inferred constant size", "size_var", size_var, "size_val", size_val)
# rel_map keeps a map of relative sizes that we have seen so
# that if we compute the same relative sizes different times
# in different ways we can associate those two instances
# of the same relative size to the same equivalence class.
if isinstance(size_rel, tuple):
if config.DEBUG_ARRAY_OPT >= 2:
print("size_rel is tuple", size_rel in equiv_set.rel_map)
if size_rel in equiv_set.rel_map:
# We have seen this relative size before so establish
# equivalence to the previous variable.
if config.DEBUG_ARRAY_OPT >= 2:
print("establishing equivalence to", equiv_set.rel_map[size_rel])
equiv_set.insert_equiv(size_var, equiv_set.rel_map[size_rel])
else:
# The first time we've seen this relative size so
# remember the variable defining that size.
equiv_set.rel_map[size_rel] = size_var
wrap_var = ir.Var(scope, mk_unique_var("wrap"), loc)
wrap_def = ir.Global("wrap_index", wrap_index, loc=loc)
fnty = get_global_func_typ(wrap_index)
sig = self.context.resolve_function_type(
fnty,
(
slice_typ,
size_typ,
),
{},
)
self._define(equiv_set, wrap_var, fnty, wrap_def)
var = ir.Var(scope, mk_unique_var("var"), loc)
value = ir.Expr.call(wrap_var, [size_var, dsize], {}, loc)
self._define(equiv_set, var, slice_typ, value)
self.calltypes[value] = sig
stmts.append(ir.Assign(value=size_val, target=size_var, loc=loc))
stmts.append(ir.Assign(value=wrap_def, target=wrap_var, loc=loc))
stmts.append(ir.Assign(value=value, target=var, loc=loc))
return var, replacement_slice_var
|
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 _analyze_op_build_tuple(self, scope, equiv_set, expr):
consts = []
for var in expr.items:
x = guard(find_const, self.func_ir, var)
if x is not None:
consts.append(x)
else:
break
else:
out = tuple([ir.Const(x, expr.loc) for x in consts])
return out, [], ir.Const(tuple(consts), expr.loc)
# default return for non-const
return tuple(expr.items), []
|
def _analyze_op_build_tuple(self, scope, equiv_set, expr):
return tuple(expr.items), []
|
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_assert_equiv(self, scope, loc, equiv_set, _args, names=None):
# filter out those that are already equivalent
if config.DEBUG_ARRAY_OPT >= 2:
print("make_assert_equiv:", _args, names)
if names == None:
names = [x.name for x in _args]
args = []
arg_names = []
for name, x in zip(names, _args):
if config.DEBUG_ARRAY_OPT >= 2:
print("name, x:", name, x)
seen = False
for y in args:
if config.DEBUG_ARRAY_OPT >= 2:
print("is equiv to?", y, equiv_set.is_equiv(x, y))
if equiv_set.is_equiv(x, y):
seen = True
break
if not seen:
args.append(x)
arg_names.append(name)
# no assertion necessary if there are less than two
if len(args) < 2:
if config.DEBUG_ARRAY_OPT >= 2:
print("Will not insert assert_equiv as args are known to be equivalent.")
return []
msg = "Sizes of {} do not match on {}".format(", ".join(arg_names), loc)
msg_val = ir.Const(msg, loc)
msg_typ = types.StringLiteral(msg)
msg_var = ir.Var(scope, mk_unique_var("msg"), loc)
self.typemap[msg_var.name] = msg_typ
argtyps = tuple([msg_typ] + [self.typemap[x.name] for x in args])
# assert_equiv takes vararg, which requires a tuple as argument type
tup_typ = types.BaseTuple.from_types(argtyps)
# prepare function variable whose type may vary since it takes vararg
assert_var = ir.Var(scope, mk_unique_var("assert"), loc)
assert_def = ir.Global("assert_equiv", assert_equiv, loc=loc)
fnty = get_global_func_typ(assert_equiv)
sig = self.context.resolve_function_type(fnty, (tup_typ,), {})
self._define(equiv_set, assert_var, fnty, assert_def)
# The return value from assert_equiv is always of none type.
var = ir.Var(scope, mk_unique_var("ret"), loc)
value = ir.Expr.call(assert_var, [msg_var] + args, {}, loc=loc)
self._define(equiv_set, var, types.none, value)
self.calltypes[value] = sig
return [
ir.Assign(value=msg_val, target=msg_var, loc=loc),
ir.Assign(value=assert_def, target=assert_var, loc=loc),
ir.Assign(value=value, target=var, loc=loc),
]
|
def _make_assert_equiv(self, scope, loc, equiv_set, _args, names=None):
# filter out those that are already equivalent
if names == None:
names = [x.name for x in _args]
args = []
arg_names = []
for name, x in zip(names, _args):
seen = False
for y in args:
if equiv_set.is_equiv(x, y):
seen = True
break
if not seen:
args.append(x)
arg_names.append(name)
# no assertion necessary if there are less than two
if len(args) < 2:
return []
msg = "Sizes of {} do not match on {}".format(", ".join(arg_names), loc)
msg_val = ir.Const(msg, loc)
msg_typ = types.StringLiteral(msg)
msg_var = ir.Var(scope, mk_unique_var("msg"), loc)
self.typemap[msg_var.name] = msg_typ
argtyps = tuple([msg_typ] + [self.typemap[x.name] for x in args])
# assert_equiv takes vararg, which requires a tuple as argument type
tup_typ = types.BaseTuple.from_types(argtyps)
# prepare function variable whose type may vary since it takes vararg
assert_var = ir.Var(scope, mk_unique_var("assert"), loc)
assert_def = ir.Global("assert_equiv", assert_equiv, loc=loc)
fnty = get_global_func_typ(assert_equiv)
sig = self.context.resolve_function_type(fnty, (tup_typ,), {})
self._define(equiv_set, assert_var, fnty, assert_def)
# The return value from assert_equiv is always of none type.
var = ir.Var(scope, mk_unique_var("ret"), loc)
value = ir.Expr.call(assert_var, [msg_var] + args, {}, loc=loc)
self._define(equiv_set, var, types.none, value)
self.calltypes[value] = sig
return [
ir.Assign(value=msg_val, target=msg_var, loc=loc),
ir.Assign(value=assert_def, target=assert_var, loc=loc),
ir.Assign(value=value, target=var, loc=loc),
]
|
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 a trace over the bytecode over all reachable path.
The trace starts at bytecode offset 0 and gathers stack and control-
flow information by partially interpreting each bytecode.
Each ``State`` instance in the trace corresponds to a basic-block.
The State instances forks when a jump instruction is encountered.
A newly forked state is then added to the list of pending states.
The trace ends when there are no more pending states.
"""
firststate = State(bytecode=self._bytecode, pc=0, nstack=0, blockstack=())
runner = TraceRunner(debug_filename=self._bytecode.func_id.filename)
runner.pending.append(firststate)
# Enforce unique-ness on initial PC to avoid re-entering the PC with
# a different stack-depth. We don't know if such a case is ever
# possible, but no such case has been encountered in our tests.
first_encounter = UniqueDict()
# Loop over each pending state at a initial PC.
# Each state is tracing a basic block
while runner.pending:
_logger.debug("pending: %s", runner.pending)
state = runner.pending.popleft()
if state not in runner.finished:
_logger.debug("stack: %s", state._stack)
first_encounter[state.pc_initial] = state
# Loop over the state until it is terminated.
while True:
runner.dispatch(state)
# Terminated?
if state.has_terminated():
break
elif (
state.has_active_try()
and state.get_inst().opname not in _NO_RAISE_OPS
):
# Is in a *try* block
state.fork(pc=state.get_inst().next)
tryblk = state.get_top_block("TRY")
state.pop_block_and_above(tryblk)
nstack = state.stack_depth
kwargs = {}
if nstack > tryblk["entry_stack"]:
kwargs["npop"] = nstack - tryblk["entry_stack"]
handler = tryblk["handler"]
kwargs["npush"] = {
BlockKind("EXCEPT"): _EXCEPT_STACK_OFFSET,
BlockKind("FINALLY"): _FINALLY_POP,
}[handler["kind"]]
kwargs["extra_block"] = handler
state.fork(pc=tryblk["end"], **kwargs)
break
else:
state.advance_pc()
# Must the new PC be a new block?
if self._is_implicit_new_block(state):
state.split_new_block()
break
_logger.debug("end state. edges=%s", state.outgoing_edges)
runner.finished.add(state)
out_states = state.get_outgoing_states()
runner.pending.extend(out_states)
# Complete controlflow
self._build_cfg(runner.finished)
# Prune redundant PHI-nodes
self._prune_phis(runner)
# Post process
for state in sorted(runner.finished, key=lambda x: x.pc_initial):
self.block_infos[state.pc_initial] = si = adapt_state_infos(state)
_logger.debug("block_infos %s:\n%s", state, si)
|
def run(self):
"""Run a trace over the bytecode over all reachable path.
The trace starts at bytecode offset 0 and gathers stack and control-
flow information by partially interpreting each bytecode.
Each ``State`` instance in the trace corresponds to a basic-block.
The State instances forks when a jump instruction is encountered.
A newly forked state is then added to the list of pending states.
The trace ends when there are no more pending states.
"""
firststate = State(bytecode=self._bytecode, pc=0, nstack=0, blockstack=())
runner = TraceRunner(debug_filename=self._bytecode.func_id.filename)
runner.pending.append(firststate)
# Enforce unique-ness on initial PC to avoid re-entering the PC with
# a different stack-depth. We don't know if such a case is ever
# possible, but no such case has been encountered in our tests.
first_encounter = UniqueDict()
# Loop over each pending state at a initial PC.
# Each state is tracing a basic block
while runner.pending:
_logger.debug("pending: %s", runner.pending)
state = runner.pending.pop()
if state not in runner.finished:
_logger.debug("stack: %s", state._stack)
first_encounter[state.pc_initial] = state
# Loop over the state until it is terminated.
while True:
runner.dispatch(state)
# Terminated?
if state.has_terminated():
break
# Not yet?
else:
state.advance_pc()
# Must the new PC be a new block?
if self._is_implicit_new_block(state):
state.split_new_block()
break
_logger.debug("end state. edges=%s", state.outgoing_edges)
runner.finished.add(state)
out_states = state.get_outgoing_states()
runner.pending.extend(out_states)
# Complete controlflow
self._build_cfg(runner.finished)
# Prune redundant PHI-nodes
self._prune_phis(runner)
# Post process
for state in sorted(runner.finished, key=lambda x: x.pc_initial):
self.block_infos[state.pc_initial] = si = adapt_state_infos(state)
_logger.debug("block_infos %s:\n%s", state, si)
|
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, debug_filename):
self.debug_filename = debug_filename
self.pending = deque()
self.finished = set()
|
def __init__(self, debug_filename):
self.debug_filename = debug_filename
self.pending = []
self.finished = set()
|
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 dispatch(self, state):
inst = state.get_inst()
_logger.debug("dispatch pc=%s, inst=%s", state._pc, inst)
_logger.debug("stack %s", state._stack)
fn = getattr(self, "op_{}".format(inst.opname), None)
if fn is not None:
fn(state, inst)
else:
msg = "Use of unsupported opcode (%s) found" % inst.opname
raise UnsupportedError(msg, loc=self.get_debug_loc(inst.lineno))
|
def dispatch(self, state):
inst = state.get_inst()
_logger.debug("dispatch pc=%s, inst=%s", state._pc, inst)
fn = getattr(self, "op_{}".format(inst.opname), None)
if fn is not None:
fn(state, inst)
else:
msg = "Use of unsupported opcode (%s) found" % inst.opname
raise UnsupportedError(msg, loc=self.get_debug_loc(inst.lineno))
|
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_BREAK_LOOP(self, state, inst):
# NOTE: bytecode removed since py3.8
end = state.get_top_block("LOOP")["end"]
state.append(inst, end=end)
state.pop_block()
state.fork(pc=end)
|
def op_BREAK_LOOP(self, state, inst):
# NOTE: bytecode removed since py3.8
end = state.get_top_block("loop")["end"]
state.append(inst, end=end)
state.pop_block()
state.fork(pc=end)
|
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, state, inst):
in_exc_block = any(
[
state.get_top_block("EXCEPT") is not None,
state.get_top_block("FINALLY") is not None,
]
)
if inst.arg == 0:
exc = None
if in_exc_block:
raise UnsupportedError(
"The re-raising of an exception is not yet supported.",
loc=self.get_debug_loc(inst.lineno),
)
elif inst.arg == 1:
exc = state.pop()
else:
raise ValueError("Multiple argument raise is not supported.")
state.append(inst, exc=exc)
state.terminate()
|
def op_RAISE_VARARGS(self, state, inst):
if inst.arg == 0:
exc = None
elif inst.arg == 1:
exc = state.pop()
else:
raise ValueError("Multiple argument raise is not supported.")
state.append(inst, exc=exc)
state.terminate()
|
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, state, inst):
temps = []
for i in range(_EXCEPT_STACK_OFFSET):
tmp = state.make_temp()
temps.append(tmp)
state.push(tmp)
state.append(inst, temps=temps)
|
def op_BEGIN_FINALLY(self, state, inst):
res = state.make_temp() # unused
state.push(res)
state.append(inst, state=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_END_FINALLY(self, state, inst):
blk = state.pop_block()
state.reset_stack(blk["entry_stack"])
|
def op_END_FINALLY(self, state, inst):
state.append(inst)
# actual bytecode has stack_effect of -6
# we don't emulate the exact stack behavior
state.pop() # unsure but seems to work
state.pop() # unsure but seems to work
|
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_SETUP_LOOP(self, state, inst):
# NOTE: bytecode removed since py3.8
state.push_block(
state.make_block(
kind="LOOP",
end=inst.get_jump_target(),
)
)
|
def op_SETUP_LOOP(self, state, inst):
# NOTE: bytecode removed since py3.8
state.push_block(
{
"kind": "loop",
"end": inst.get_jump_target(),
}
)
|
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_SETUP_WITH(self, state, inst):
cm = state.pop() # the context-manager
yielded = state.make_temp()
state.append(inst, contextmanager=cm)
state.push_block(
state.make_block(
kind="WITH_FINALLY",
end=inst.get_jump_target(),
)
)
state.push(cm)
state.push(yielded)
state.push_block(
state.make_block(
kind="WITH",
end=inst.get_jump_target(),
)
)
# Forces a new block
state.fork(pc=inst.next)
|
def op_SETUP_WITH(self, state, inst):
cm = state.pop() # the context-manager
state.push(cm)
yielded = state.make_temp()
state.push(yielded)
state.append(inst, contextmanager=cm)
state.push_block(
{
"kind": "with",
"end": inst.get_jump_target(),
}
)
# Forces a new block
state.fork(pc=inst.next)
|
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, state, inst):
blk = state.pop_block()
if blk["kind"] == BlockKind("TRY"):
state.append(inst, kind="try")
# Forces a new block
state.fork(pc=inst.next)
|
def op_POP_BLOCK(self, state, inst):
state.pop_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, bytecode, pc, nstack, blockstack):
"""
Parameters
----------
bytecode : numba.bytecode.ByteCode
function bytecode
pc : int
program counter
nstack : int
stackdepth at entry
blockstack : Sequence[Dict]
A sequence of dictionary denoting entries on the blockstack.
"""
self._bytecode = bytecode
self._pc_initial = pc
self._pc = pc
self._nstack_initial = nstack
self._stack = []
self._blockstack_initial = tuple(blockstack)
self._blockstack = list(blockstack)
self._temp_registers = []
self._insts = []
self._outedges = []
self._terminated = False
self._phis = {}
self._outgoing_phis = UniqueDict()
self._used_regs = set()
for i in range(nstack):
phi = self.make_temp("phi")
self._phis[phi] = i
self.push(phi)
|
def __init__(self, bytecode, pc, nstack, blockstack):
"""
Parameters
----------
bytecode : numba.bytecode.ByteCode
function bytecode
pc : int
program counter
nstack : int
stackdepth at entry
blockstack : Sequence[Dict]
A sequence of dictionary denoting entries on the blockstack.
"""
self._bytecode = bytecode
self._pc_initial = pc
self._pc = pc
self._nstack_initial = nstack
self._stack = []
self._blockstack = list(blockstack)
self._temp_registers = []
self._insts = []
self._outedges = []
self._terminated = False
self._phis = {}
self._outgoing_phis = UniqueDict()
self._used_regs = set()
for i in range(nstack):
phi = self.make_temp("phi")
self._phis[phi] = i
self.push(phi)
|
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 push_block(self, synblk):
"""Push a block to blockstack"""
assert "stack_depth" in synblk
self._blockstack.append(synblk)
|
def push_block(self, synblk):
d = synblk.copy()
d["stack_depth"] = len(self._stack)
self._blockstack.append(d)
|
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 pop_block(self):
"""Pop a block and unwind the stack"""
b = self._blockstack.pop()
self.reset_stack(b["stack_depth"])
return b
|
def pop_block(self):
b = self._blockstack.pop()
new_stack = self._stack[: b["stack_depth"]]
_logger.debug("POP_BLOCK:\nold_stack=%s\nnew_stack=%s", self._stack, new_stack)
self._stack = new_stack
|
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_top_block(self, kind):
"""Find the first block that matches *kind*"""
kind = BlockKind(kind)
for bs in reversed(self._blockstack):
if bs["kind"] == kind:
return bs
|
def get_top_block(self, kind):
for bs in reversed(self._blockstack):
if bs["kind"] == kind:
return bs
|
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 fork(self, pc, npop=0, npush=0, extra_block=None):
"""Fork the state"""
# Handle changes on the stack
stack = list(self._stack)
if npop:
assert 0 <= npop <= len(self._stack)
nstack = len(self._stack) - npop
stack = stack[:nstack]
if npush:
assert 0 <= npush
for i in range(npush):
stack.append(self.make_temp())
# Handle changes on the blockstack
blockstack = list(self._blockstack)
if extra_block:
blockstack.append(extra_block)
self._outedges.append(
Edge(
pc=pc,
stack=tuple(stack),
npush=npush,
blockstack=tuple(blockstack),
)
)
self.terminate()
|
def fork(self, pc, npop=0):
"""Fork the state"""
assert 0 <= npop <= len(self._stack)
nstack = len(self._stack) - npop
stack = self._stack[:nstack]
self._outedges.append(Edge(pc=pc, stack=stack, blockstack=tuple(self._blockstack)))
self.terminate()
|
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 adapt_state_infos(state):
return AdaptBlockInfo(
insts=tuple(state.instructions),
outgoing_phis=state.outgoing_phis,
blockstack=state.blockstack_initial,
active_try_block=state.find_initial_try_block(),
outgoing_edgepushed=state.get_outgoing_edgepushed(),
)
|
def adapt_state_infos(state):
return AdaptBlockInfo(
insts=tuple(state.instructions), outgoing_phis=state.outgoing_phis
)
|
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_item_pointer(
context, builder, aryty, ary, inds, wraparound=False, boundscheck=False
):
# Set boundscheck=True for any pointer access that should be
# boundschecked. do_boundscheck() will handle enabling or disabling the
# actual boundschecking based on the user config.
shapes = unpack_tuple(builder, ary.shape, count=aryty.ndim)
strides = unpack_tuple(builder, ary.strides, count=aryty.ndim)
return get_item_pointer2(
context,
builder,
data=ary.data,
shape=shapes,
strides=strides,
layout=aryty.layout,
inds=inds,
wraparound=wraparound,
boundscheck=boundscheck,
)
|
def get_item_pointer(builder, aryty, ary, inds, wraparound=False):
shapes = unpack_tuple(builder, ary.shape, count=aryty.ndim)
strides = unpack_tuple(builder, ary.strides, count=aryty.ndim)
return get_item_pointer2(
builder,
data=ary.data,
shape=shapes,
strides=strides,
layout=aryty.layout,
inds=inds,
wraparound=wraparound,
)
|
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_item_pointer2(
context,
builder,
data,
shape,
strides,
layout,
inds,
wraparound=False,
boundscheck=False,
):
# Set boundscheck=True for any pointer access that should be
# boundschecked. do_boundscheck() will handle enabling or disabling the
# actual boundschecking based on the user config.
if wraparound:
# Wraparound
indices = []
for ind, dimlen in zip(inds, shape):
negative = builder.icmp_signed("<", ind, ind.type(0))
wrapped = builder.add(dimlen, ind)
selected = builder.select(negative, wrapped, ind)
indices.append(selected)
else:
indices = inds
if boundscheck:
for axis, (ind, dimlen) in enumerate(zip(indices, shape)):
do_boundscheck(context, builder, ind, dimlen, axis)
if not indices:
# Indexing with empty tuple
return builder.gep(data, [int32_t(0)])
intp = indices[0].type
# Indexing code
if layout in "CF":
steps = []
# Compute steps for each dimension
if layout == "C":
# C contiguous
for i in range(len(shape)):
last = intp(1)
for j in shape[i + 1 :]:
last = builder.mul(last, j)
steps.append(last)
elif layout == "F":
# F contiguous
for i in range(len(shape)):
last = intp(1)
for j in shape[:i]:
last = builder.mul(last, j)
steps.append(last)
else:
raise Exception("unreachable")
# Compute index
loc = intp(0)
for i, s in zip(indices, steps):
tmp = builder.mul(i, s)
loc = builder.add(loc, tmp)
ptr = builder.gep(data, [loc])
return ptr
else:
# Any layout
dimoffs = [builder.mul(s, i) for s, i in zip(strides, indices)]
offset = functools.reduce(builder.add, dimoffs)
return pointer_add(builder, data, offset)
|
def get_item_pointer2(builder, data, shape, strides, layout, inds, wraparound=False):
if wraparound:
# Wraparound
indices = []
for ind, dimlen in zip(inds, shape):
negative = builder.icmp_signed("<", ind, ind.type(0))
wrapped = builder.add(dimlen, ind)
selected = builder.select(negative, wrapped, ind)
indices.append(selected)
else:
indices = inds
if not indices:
# Indexing with empty tuple
return builder.gep(data, [int32_t(0)])
intp = indices[0].type
# Indexing code
if layout in "CF":
steps = []
# Compute steps for each dimension
if layout == "C":
# C contiguous
for i in range(len(shape)):
last = intp(1)
for j in shape[i + 1 :]:
last = builder.mul(last, j)
steps.append(last)
elif layout == "F":
# F contiguous
for i in range(len(shape)):
last = intp(1)
for j in shape[:i]:
last = builder.mul(last, j)
steps.append(last)
else:
raise Exception("unreachable")
# Compute index
loc = intp(0)
for i, s in zip(indices, steps):
tmp = builder.mul(i, s)
loc = builder.add(loc, tmp)
ptr = builder.gep(data, [loc])
return ptr
else:
# Any layout
dimoffs = [builder.mul(s, i) for s, i in zip(strides, indices)]
offset = functools.reduce(builder.add, dimoffs)
return pointer_add(builder, data, offset)
|
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 memset(builder, ptr, size, value):
"""
Fill *size* bytes starting from *ptr* with *value*.
"""
fn = builder.module.declare_intrinsic("llvm.memset", (voidptr_t, size.type))
ptr = builder.bitcast(ptr, voidptr_t)
if isinstance(value, int):
value = int8_t(value)
builder.call(fn, [ptr, value, size, bool_t(0)])
|
def memset(builder, ptr, size, value):
"""
Fill *size* bytes starting from *ptr* with *value*.
"""
fn = builder.module.declare_intrinsic("llvm.memset", (voidptr_t, size.type))
ptr = builder.bitcast(ptr, voidptr_t)
if isinstance(value, int):
value = int8_t(value)
builder.call(fn, [ptr, value, size, int32_t(0), bool_t(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 _raw_memcpy(builder, func_name, dst, src, count, itemsize, align):
size_t = count.type
if isinstance(itemsize, utils.INT_TYPES):
itemsize = ir.Constant(size_t, itemsize)
memcpy = builder.module.declare_intrinsic(func_name, [voidptr_t, voidptr_t, size_t])
is_volatile = false_bit
builder.call(
memcpy,
[
builder.bitcast(dst, voidptr_t),
builder.bitcast(src, voidptr_t),
builder.mul(count, itemsize),
is_volatile,
],
)
|
def _raw_memcpy(builder, func_name, dst, src, count, itemsize, align):
size_t = count.type
if isinstance(itemsize, utils.INT_TYPES):
itemsize = ir.Constant(size_t, itemsize)
memcpy = builder.module.declare_intrinsic(func_name, [voidptr_t, voidptr_t, size_t])
align = ir.Constant(ir.IntType(32), align)
is_volatile = false_bit
builder.call(
memcpy,
[
builder.bitcast(dst, voidptr_t),
builder.bitcast(src, voidptr_t),
builder.mul(count, itemsize),
align,
is_volatile,
],
)
|
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 unicode_charseq_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None
if isinstance(a, types.UnicodeCharSeq):
if isinstance(sep, types.UnicodeCharSeq):
def impl(a, sep=None, maxsplit=-1):
return str(a).split(sep=str(sep), maxsplit=maxsplit)
return impl
if isinstance(sep, types.UnicodeType):
def impl(a, sep=None, maxsplit=-1):
return str(a).split(sep=sep, maxsplit=maxsplit)
return impl
if is_nonelike(sep):
if is_default(maxsplit, -1):
def impl(a, sep=None, maxsplit=-1):
return str(a).split()
else:
def impl(a, sep=None, maxsplit=-1):
return str(a).split(maxsplit=maxsplit)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if isinstance(sep, (types.CharSeq, types.Bytes)):
def impl(a, sep=None, maxsplit=-1):
return _map_bytes(a._to_str().split(sep._to_str(), maxsplit=maxsplit))
return impl
if is_nonelike(sep):
if is_default(maxsplit, -1):
def impl(a, sep=None, maxsplit=-1):
return _map_bytes(a._to_str().split())
else:
def impl(a, sep=None, maxsplit=-1):
return _map_bytes(a._to_str().split(maxsplit=maxsplit))
return impl
|
def unicode_charseq_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None
if isinstance(a, types.UnicodeCharSeq):
if isinstance(sep, types.UnicodeCharSeq):
def impl(a, sep, maxsplit=-1):
return str(a).split(sep=str(sep), maxsplit=maxsplit)
return impl
if isinstance(sep, types.UnicodeType):
def impl(a, sep, maxsplit=-1):
return str(a).split(sep=sep, maxsplit=maxsplit)
return impl
if isinstance(sep, types.NoneType) or sep is None:
if maxsplit == -1:
def impl(a):
return str(a).split()
else:
def impl(a, maxsplit=-1):
return str(a).split(maxsplit=maxsplit)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if isinstance(sep, (types.CharSeq, types.Bytes)):
def impl(a, sep, maxsplit=-1):
return _map_bytes(a._to_str().split(sep._to_str(), maxsplit=maxsplit))
return impl
if isinstance(sep, types.NoneType) or sep is None:
if maxsplit == -1:
def impl(a):
return _map_bytes(a._to_str().split())
else:
def impl(a, maxsplit=-1):
return _map_bytes(a._to_str().split(maxsplit=maxsplit))
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(a, sep=None, maxsplit=-1):
return _map_bytes(a._to_str().split(maxsplit=maxsplit))
|
def impl(a, maxsplit=-1):
return _map_bytes(a._to_str().split(maxsplit=maxsplit))
|
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 unicode_charseq_ljust(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if is_default(fillchar, " "):
def impl(a, width, fillchar=" "):
return str(a).ljust(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar=" "):
return str(a).ljust(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar=" "):
return str(a).ljust(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_default(fillchar, " ") or is_default(fillchar, b" "):
def impl(a, width, fillchar=" "):
return a._to_str().ljust(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar=" "):
return a._to_str().ljust(width, fillchar._to_str())._to_bytes()
return impl
|
def unicode_charseq_ljust(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if fillchar == " ":
def impl(a, width):
return str(a).ljust(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar):
return str(a).ljust(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar):
return str(a).ljust(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if fillchar == " " or fillchar == b" ":
def impl(a, width):
return a._to_str().ljust(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar):
return a._to_str().ljust(width, fillchar._to_str())._to_bytes()
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(a, width, fillchar=" "):
return str(a).ljust(width, fillchar)
|
def impl(a, width, fillchar):
return str(a).ljust(width, fillchar)
|
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 unicode_charseq_rjust(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if is_default(fillchar, " "):
def impl(a, width, fillchar=" "):
return str(a).rjust(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar=" "):
return str(a).rjust(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar=" "):
return str(a).rjust(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_default(fillchar, " ") or is_default(fillchar, b" "):
def impl(a, width, fillchar=" "):
return a._to_str().rjust(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar=" "):
return a._to_str().rjust(width, fillchar._to_str())._to_bytes()
return impl
|
def unicode_charseq_rjust(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if fillchar == " ":
def impl(a, width):
return str(a).rjust(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar):
return str(a).rjust(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar):
return str(a).rjust(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if fillchar == " " or fillchar == b" ":
def impl(a, width):
return a._to_str().rjust(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar):
return a._to_str().rjust(width, fillchar._to_str())._to_bytes()
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(a, width, fillchar=" "):
return str(a).rjust(width, fillchar)
|
def impl(a, width, fillchar):
return str(a).rjust(width, fillchar)
|
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 unicode_charseq_center(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if is_default(fillchar, " "):
def impl(a, width, fillchar=" "):
return str(a).center(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar=" "):
return str(a).center(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar=" "):
return str(a).center(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_default(fillchar, " ") or is_default(fillchar, b" "):
def impl(a, width, fillchar=" "):
return a._to_str().center(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar=" "):
return a._to_str().center(width, fillchar._to_str())._to_bytes()
return impl
|
def unicode_charseq_center(a, width, fillchar=" "):
if isinstance(a, types.UnicodeCharSeq):
if fillchar == " ":
def impl(a, width):
return str(a).center(width)
return impl
elif isinstance(fillchar, types.UnicodeCharSeq):
def impl(a, width, fillchar):
return str(a).center(width, str(fillchar))
return impl
elif isinstance(fillchar, types.UnicodeType):
def impl(a, width, fillchar):
return str(a).center(width, fillchar)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if fillchar == " " or fillchar == b" ":
def impl(a, width):
return a._to_str().center(width)._to_bytes()
return impl
elif isinstance(fillchar, (types.CharSeq, types.Bytes)):
def impl(a, width, fillchar):
return a._to_str().center(width, fillchar._to_str())._to_bytes()
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(a, width, fillchar=" "):
return str(a).center(width, fillchar)
|
def impl(a, width, fillchar):
return str(a).center(width, fillchar)
|
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 unicode_charseq_lstrip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if is_nonelike(chars):
def impl(a, chars=None):
return str(a).lstrip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars=None):
return str(a).lstrip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars=None):
return str(a).lstrip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_nonelike(chars):
def impl(a, chars=None):
return a._to_str().lstrip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars=None):
return a._to_str().lstrip(chars._to_str())._to_bytes()
return impl
|
def unicode_charseq_lstrip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return str(a).lstrip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars):
return str(a).lstrip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars):
return str(a).lstrip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return a._to_str().lstrip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars):
return a._to_str().lstrip(chars._to_str())._to_bytes()
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(a, chars=None):
return str(a).lstrip(chars)
|
def impl(a, chars):
return str(a).lstrip(chars)
|
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 unicode_charseq_rstrip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if is_nonelike(chars):
def impl(a, chars=None):
return str(a).rstrip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars=None):
return str(a).rstrip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars=None):
return str(a).rstrip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_nonelike(chars):
def impl(a, chars=None):
return a._to_str().rstrip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars=None):
return a._to_str().rstrip(chars._to_str())._to_bytes()
return impl
|
def unicode_charseq_rstrip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return str(a).rstrip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars):
return str(a).rstrip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars):
return str(a).rstrip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return a._to_str().rstrip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars):
return a._to_str().rstrip(chars._to_str())._to_bytes()
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(a, chars=None):
return str(a).rstrip(chars)
|
def impl(a, chars):
return str(a).rstrip(chars)
|
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 unicode_charseq_strip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if is_nonelike(chars):
def impl(a, chars=None):
return str(a).strip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars=None):
return str(a).strip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars=None):
return str(a).strip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if is_nonelike(chars):
def impl(a, chars=None):
return a._to_str().strip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars=None):
return a._to_str().strip(chars._to_str())._to_bytes()
return impl
|
def unicode_charseq_strip(a, chars=None):
if isinstance(a, types.UnicodeCharSeq):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return str(a).strip()
return impl
elif isinstance(chars, types.UnicodeCharSeq):
def impl(a, chars):
return str(a).strip(str(chars))
return impl
elif isinstance(chars, types.UnicodeType):
def impl(a, chars):
return str(a).strip(chars)
return impl
if isinstance(a, (types.CharSeq, types.Bytes)):
if chars is None or isinstance(chars, types.NoneType):
def impl(a):
return a._to_str().strip()._to_bytes()
return impl
elif isinstance(chars, (types.CharSeq, types.Bytes)):
def impl(a, chars):
return a._to_str().strip(chars._to_str())._to_bytes()
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(a, chars=None):
return str(a).strip(chars)
|
def impl(a, chars):
return str(a).strip(chars)
|
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 _rebuild(
cls,
target_context,
libdata,
fndesc,
env,
signature,
objectmode,
interpmode,
lifted,
typeann,
reload_init,
):
if reload_init:
# Re-run all
for fn in reload_init:
fn()
library = target_context.codegen().unserialize_library(libdata)
cfunc = target_context.get_executable(library, fndesc, env)
cr = cls(
target_context=target_context,
typing_context=target_context.typing_context,
library=library,
environment=env,
entry_point=cfunc,
fndesc=fndesc,
type_annotation=typeann,
signature=signature,
objectmode=objectmode,
interpmode=interpmode,
lifted=lifted,
typing_error=None,
call_helper=None,
metadata=None, # Do not store, arbitrary & potentially large!
reload_init=reload_init,
)
return cr
|
def _rebuild(
cls,
target_context,
libdata,
fndesc,
env,
signature,
objectmode,
interpmode,
lifted,
typeann,
reload_init,
):
if reload_init:
# Re-run all
for fn in reload_init:
fn()
library = target_context.codegen().unserialize_library(libdata)
cfunc = target_context.get_executable(library, fndesc, env)
cr = cls(
target_context=target_context,
typing_context=target_context.typing_context,
library=library,
environment=env,
entry_point=cfunc,
fndesc=fndesc,
type_annotation=typeann,
signature=signature,
objectmode=objectmode,
interpmode=interpmode,
lifted=lifted,
typing_error=None,
call_helper=None,
metadata=None, # Do not store, arbitrary and potentially large!
reload_init=reload_init,
)
return cr
|
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_subtarget(targetctx, flags):
"""
Make a new target context from the given target context and flags.
"""
subtargetoptions = {}
if flags.debuginfo:
subtargetoptions["enable_debuginfo"] = True
if flags.boundscheck:
subtargetoptions["enable_boundscheck"] = True
if flags.nrt:
subtargetoptions["enable_nrt"] = True
if flags.auto_parallel:
subtargetoptions["auto_parallel"] = flags.auto_parallel
if flags.fastmath:
subtargetoptions["fastmath"] = flags.fastmath
error_model = callconv.create_error_model(flags.error_model, targetctx)
subtargetoptions["error_model"] = error_model
return targetctx.subtarget(**subtargetoptions)
|
def _make_subtarget(targetctx, flags):
"""
Make a new target context from the given target context and flags.
"""
subtargetoptions = {}
if flags.debuginfo:
subtargetoptions["enable_debuginfo"] = True
if flags.boundcheck:
subtargetoptions["enable_boundcheck"] = True
if flags.nrt:
subtargetoptions["enable_nrt"] = True
if flags.auto_parallel:
subtargetoptions["auto_parallel"] = flags.auto_parallel
if flags.fastmath:
subtargetoptions["fastmath"] = flags.fastmath
error_model = callconv.create_error_model(flags.error_model, targetctx)
subtargetoptions["error_model"] = error_model
return targetctx.subtarget(**subtargetoptions)
|
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 _compile_core(self):
"""
Populate and run compiler pipeline
"""
pms = self.define_pipelines()
for pm in pms:
pipeline_name = pm.pipeline_name
func_name = "%s.%s" % (
self.state.func_id.modname,
self.state.func_id.func_qualname,
)
event("Pipeline: %s for %s" % (pipeline_name, func_name))
self.state.metadata["pipeline_times"] = {pipeline_name: pm.exec_times}
is_final_pipeline = pm == pms[-1]
res = None
try:
pm.run(self.state)
if self.state.cr is not None:
break
except _EarlyPipelineCompletion as e:
res = e.result
break
except Exception as e:
self.state.status.fail_reason = e
if is_final_pipeline:
raise e
else:
raise CompilerError("All available pipelines exhausted")
# Pipeline is done, remove self reference to release refs to user code
self.state.pipeline = None
# organise a return
if res is not None:
# Early pipeline completion
return res
else:
assert self.state.cr is not None
return self.state.cr
|
def _compile_core(self):
"""
Populate and run compiler pipeline
"""
pms = self.define_pipelines()
for pm in pms:
pipeline_name = pm.pipeline_name
event("Pipeline: %s" % pipeline_name)
self.state.metadata["pipeline_times"] = {pipeline_name: pm.exec_times}
is_final_pipeline = pm == pms[-1]
res = None
try:
pm.run(self.state)
if self.state.cr is not None:
break
except _EarlyPipelineCompletion as e:
res = e.result
break
except Exception as e:
self.state.status.fail_reason = e
if is_final_pipeline:
raise e
else:
raise CompilerError("All available pipelines exhausted")
# Pipeline is done, remove self reference to release refs to user code
self.state.pipeline = None
# organise a return
if res is not None:
# Early pipeline completion
return res
else:
assert self.state.cr is not None
return self.state.cr
|
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 define_nopython_pipeline(state, name="nopython"):
"""Returns an nopython mode pipeline based PassManager"""
pm = PassManager(name)
if state.func_ir is None:
pm.add_pass(TranslateByteCode, "analyzing bytecode")
pm.add_pass(FixupArgs, "fix up args")
pm.add_pass(IRProcessing, "processing IR")
pm.add_pass(WithLifting, "Handle with contexts")
# pre typing
if not state.flags.no_rewrites:
pm.add_pass(GenericRewrites, "nopython rewrites")
pm.add_pass(RewriteSemanticConstants, "rewrite semantic constants")
pm.add_pass(DeadBranchPrune, "dead branch pruning")
pm.add_pass(InlineClosureLikes, "inline calls to locally defined closures")
# convert any remaining closures into functions
pm.add_pass(MakeFunctionToJitFunction, "convert make_function into JIT functions")
# inline functions that have been determined as inlinable and rerun
# branch pruning, this needs to be run after closures are inlined as
# the IR repr of a closure masks call sites if an inlinable is called
# inside a closure
pm.add_pass(InlineInlinables, "inline inlinable functions")
if not state.flags.no_rewrites:
pm.add_pass(DeadBranchPrune, "dead branch pruning")
pm.add_pass(FindLiterallyCalls, "find literally calls")
pm.add_pass(LiteralUnroll, "handles literal_unroll")
# typing
pm.add_pass(NopythonTypeInference, "nopython frontend")
pm.add_pass(AnnotateTypes, "annotate types")
# optimisation
pm.add_pass(InlineOverloads, "inline overloaded functions")
if state.flags.auto_parallel.enabled:
pm.add_pass(PreParforPass, "Preprocessing for parfors")
if not state.flags.no_rewrites:
pm.add_pass(NopythonRewrites, "nopython rewrites")
if state.flags.auto_parallel.enabled:
pm.add_pass(ParforPass, "convert to parfors")
# legalise
pm.add_pass(IRLegalization, "ensure IR is legal prior to lowering")
# lower
pm.add_pass(NoPythonBackend, "nopython mode backend")
pm.add_pass(DumpParforDiagnostics, "dump parfor diagnostics")
pm.finalize()
return pm
|
def define_nopython_pipeline(state, name="nopython"):
"""Returns an nopython mode pipeline based PassManager"""
pm = PassManager(name)
if state.func_ir is None:
pm.add_pass(TranslateByteCode, "analyzing bytecode")
pm.add_pass(FixupArgs, "fix up args")
pm.add_pass(IRProcessing, "processing IR")
pm.add_pass(WithLifting, "Handle with contexts")
# pre typing
if not state.flags.no_rewrites:
pm.add_pass(GenericRewrites, "nopython rewrites")
pm.add_pass(RewriteSemanticConstants, "rewrite semantic constants")
pm.add_pass(DeadBranchPrune, "dead branch pruning")
pm.add_pass(InlineClosureLikes, "inline calls to locally defined closures")
# convert any remaining closures into functions
pm.add_pass(MakeFunctionToJitFunction, "convert make_function into JIT functions")
# inline functions that have been determined as inlinable and rerun
# branch pruning this needs to be run after closures are inlined as
# the IR repr of a closure masks call sites if an inlinable is called
# inside a closure
pm.add_pass(InlineInlinables, "inline inlinable functions")
if not state.flags.no_rewrites:
pm.add_pass(DeadBranchPrune, "dead branch pruning")
pm.add_pass(FindLiterallyCalls, "find literally calls")
# typing
pm.add_pass(NopythonTypeInference, "nopython frontend")
pm.add_pass(AnnotateTypes, "annotate types")
# optimisation
pm.add_pass(InlineOverloads, "inline overloaded functions")
if state.flags.auto_parallel.enabled:
pm.add_pass(PreParforPass, "Preprocessing for parfors")
if not state.flags.no_rewrites:
pm.add_pass(NopythonRewrites, "nopython rewrites")
if state.flags.auto_parallel.enabled:
pm.add_pass(ParforPass, "convert to parfors")
# legalise
pm.add_pass(IRLegalization, "ensure IR is legal prior to lowering")
# lower
pm.add_pass(NoPythonBackend, "nopython mode backend")
pm.add_pass(DumpParforDiagnostics, "dump parfor diagnostics")
pm.finalize()
return pm
|
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 define_objectmode_pipeline(state, name="object"):
"""Returns an object-mode pipeline based PassManager"""
pm = PassManager(name)
if state.func_ir is None:
pm.add_pass(TranslateByteCode, "analyzing bytecode")
pm.add_pass(FixupArgs, "fix up args")
pm.add_pass(IRProcessing, "processing IR")
if utils.PYVERSION >= (3, 7):
# The following passes are needed to adjust for looplifting
pm.add_pass(CanonicalizeLoopEntry, "canonicalize loop entry")
pm.add_pass(CanonicalizeLoopExit, "canonicalize loop exit")
pm.add_pass(ObjectModeFrontEnd, "object mode frontend")
pm.add_pass(InlineClosureLikes, "inline calls to locally defined closures")
# convert any remaining closures into functions
pm.add_pass(MakeFunctionToJitFunction, "convert make_function into JIT functions")
pm.add_pass(AnnotateTypes, "annotate types")
pm.add_pass(IRLegalization, "ensure IR is legal prior to lowering")
pm.add_pass(ObjectModeBackEnd, "object mode backend")
pm.finalize()
return pm
|
def define_objectmode_pipeline(state, name="object"):
"""Returns an object-mode pipeline based PassManager"""
pm = PassManager(name)
if state.func_ir is None:
pm.add_pass(TranslateByteCode, "analyzing bytecode")
pm.add_pass(FixupArgs, "fix up args")
pm.add_pass(IRProcessing, "processing IR")
pm.add_pass(ObjectModeFrontEnd, "object mode frontend")
pm.add_pass(InlineClosureLikes, "inline calls to locally defined closures")
# convert any remaining closures into functions
pm.add_pass(MakeFunctionToJitFunction, "convert make_function into JIT functions")
pm.add_pass(AnnotateTypes, "annotate types")
pm.add_pass(IRLegalization, "ensure IR is legal prior to lowering")
pm.add_pass(ObjectModeBackEnd, "object mode backend")
pm.finalize()
return pm
|
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 debug_print(pass_name, print_condition, printable_condition):
if pass_name in print_condition:
fid = internal_state.func_id
args = (
fid.modname,
fid.func_qualname,
self.pipeline_name,
printable_condition,
pass_name,
)
print(("%s.%s: %s: %s %s" % args).center(120, "-"))
if internal_state.func_ir is not None:
internal_state.func_ir.dump()
else:
print("func_ir is None")
|
def debug_print(*args, **kwargs):
if _DEBUG:
print(*args, **kwargs)
|
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 _debug_init(self):
# determine after which passes IR dumps should take place
def parse(conf_item):
print_passes = []
if conf_item != "none":
if conf_item == "all":
print_passes = [x.name() for (x, _) in self.passes]
else:
# we don't validate whether the named passes exist in this
# pipeline the compiler may be used reentrantly and
# different pipelines may contain different passes
splitted = conf_item.split(",")
print_passes = [x.strip() for x in splitted]
return print_passes
ret = (
parse(config.DEBUG_PRINT_AFTER),
parse(config.DEBUG_PRINT_BEFORE),
parse(config.DEBUG_PRINT_WRAP),
)
return ret
|
def _debug_init(self):
# determine after which passes IR dumps should take place
print_passes = []
if config.DEBUG_PRINT_AFTER != "none":
if config.DEBUG_PRINT_AFTER == "all":
print_passes = [x.name() for (x, _) in self.passes]
else:
# we don't validate whether the named passes exist in this
# pipeline the compiler may be used reentrantly and different
# pipelines may contain different passes
splitted = config.DEBUG_PRINT_AFTER.split(",")
print_passes = [x.strip() for x in splitted]
return print_passes
|
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 finalize(self):
"""
Finalize the PassManager, after which no more passes may be added
without re-finalization.
"""
self._analysis = self.dependency_analysis()
self._print_after, self._print_before, self._print_wrap = self._debug_init()
self._finalized = True
|
def finalize(self):
"""
Finalize the PassManager, after which no more passes may be added
without re-finalization.
"""
self._analysis = self.dependency_analysis()
self._print_after = self._debug_init()
self._finalized = 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 _runPass(self, index, pss, internal_state):
mutated = False
def check(func, compiler_state):
mangled = func(compiler_state)
if mangled not in (True, False):
msg = (
"CompilerPass implementations should return True/False. "
"CompilerPass with name '%s' did not."
)
raise ValueError(msg % pss.name())
return mangled
def debug_print(pass_name, print_condition, printable_condition):
if pass_name in print_condition:
fid = internal_state.func_id
args = (
fid.modname,
fid.func_qualname,
self.pipeline_name,
printable_condition,
pass_name,
)
print(("%s.%s: %s: %s %s" % args).center(120, "-"))
if internal_state.func_ir is not None:
internal_state.func_ir.dump()
else:
print("func_ir is None")
# debug print before this pass?
debug_print(pss.name(), self._print_before + self._print_wrap, "BEFORE")
# wire in the analysis info so it's accessible
pss.analysis = self._analysis
with SimpleTimer() as init_time:
mutated |= check(pss.run_initialization, internal_state)
with SimpleTimer() as pass_time:
mutated |= check(pss.run_pass, internal_state)
with SimpleTimer() as finalize_time:
mutated |= check(pss.run_finalizer, internal_state)
if self._ENFORCING:
# TODO: Add in self consistency enforcement for
# `func_ir._definitions` etc
if _pass_registry.get(pss.__class__).mutates_CFG:
if mutated: # block level changes, rebuild all
PostProcessor(internal_state.func_ir).run()
else: # CFG level changes rebuild CFG
internal_state.func_ir.blocks = transforms.canonicalize_cfg(
internal_state.func_ir.blocks
)
# inject runtimes
pt = pass_timings(init_time.elapsed, pass_time.elapsed, finalize_time.elapsed)
self.exec_times["%s_%s" % (index, pss.name())] = pt
# debug print after this pass?
debug_print(pss.name(), self._print_after + self._print_wrap, "AFTER")
|
def _runPass(self, index, pss, internal_state):
mutated = False
def check(func, compiler_state):
mangled = func(compiler_state)
if mangled not in (True, False):
msg = (
"CompilerPass implementations should return True/False. "
"CompilerPass with name '%s' did not."
)
raise ValueError(msg % pss.name())
return mangled
# wire in the analysis info so it's accessible
pss.analysis = self._analysis
with SimpleTimer() as init_time:
mutated |= check(pss.run_initialization, internal_state)
with SimpleTimer() as pass_time:
mutated |= check(pss.run_pass, internal_state)
with SimpleTimer() as finalize_time:
mutated |= check(pss.run_finalizer, internal_state)
if self._ENFORCING:
# TODO: Add in self consistency enforcement for
# `func_ir._definitions` etc
if _pass_registry.get(pss.__class__).mutates_CFG:
if mutated: # block level changes, rebuild all
PostProcessor(internal_state.func_ir).run()
else: # CFG level changes rebuild CFG
internal_state.func_ir.blocks = transforms.canonicalize_cfg(
internal_state.func_ir.blocks
)
# inject runtimes
pt = pass_timings(init_time.elapsed, pass_time.elapsed, finalize_time.elapsed)
self.exec_times["%s_%s" % (index, pss.name())] = pt
# debug print after this pass?
if pss.name() in self._print_after:
fid = internal_state.func_id
args = (fid.modname, fid.func_qualname, self.pipeline_name, pss.name())
print(("%s.%s: %s: %s" % args).center(80, "-"))
internal_state.func_ir.dump()
|
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 process_environ(self, environ):
def _readenv(name, ctor, default):
value = environ.get(name)
if value is None:
return default() if callable(default) else default
try:
return ctor(value)
except Exception:
warnings.warn(
"environ %s defined but failed to parse '%s'" % (name, value),
RuntimeWarning,
)
return default
def optional_str(x):
return str(x) if x is not None else None
# developer mode produces full tracebacks, disables help instructions
DEVELOPER_MODE = _readenv("NUMBA_DEVELOPER_MODE", int, 0)
# disable performance warnings, will switch of the generation of
# warnings of the class NumbaPerformanceWarning
DISABLE_PERFORMANCE_WARNINGS = _readenv(
"NUMBA_DISABLE_PERFORMANCE_WARNINGS", int, 0
)
# Flag to enable full exception reporting
FULL_TRACEBACKS = _readenv("NUMBA_FULL_TRACEBACKS", int, DEVELOPER_MODE)
# Show help text when an error occurs
SHOW_HELP = _readenv("NUMBA_SHOW_HELP", int, not DEVELOPER_MODE)
# The color scheme to use for error messages, default is no color
# just bold fonts in use.
COLOR_SCHEME = _readenv("NUMBA_COLOR_SCHEME", str, "no_color")
# Whether to globally enable bounds checking. The default None means
# to use the value of the flag to @njit. 0 or 1 overrides the flag
# globally.
BOUNDSCHECK = _readenv("NUMBA_BOUNDSCHECK", int, None)
# Debug flag to control compiler debug print
DEBUG = _readenv("NUMBA_DEBUG", int, 0)
# DEBUG print IR after pass names
DEBUG_PRINT_AFTER = _readenv("NUMBA_DEBUG_PRINT_AFTER", str, "none")
# DEBUG print IR before pass names
DEBUG_PRINT_BEFORE = _readenv("NUMBA_DEBUG_PRINT_BEFORE", str, "none")
# DEBUG print IR before and after pass names
DEBUG_PRINT_WRAP = _readenv("NUMBA_DEBUG_PRINT_WRAP", str, "none")
# Highlighting in intermediate dumps
HIGHLIGHT_DUMPS = _readenv("NUMBA_HIGHLIGHT_DUMPS", int, 0)
# JIT Debug flag to trigger IR instruction print
DEBUG_JIT = _readenv("NUMBA_DEBUG_JIT", int, 0)
# Enable debugging of front-end operation
# (up to and including IR generation)
DEBUG_FRONTEND = _readenv("NUMBA_DEBUG_FRONTEND", int, 0)
# How many recently deserialized functions to retain regardless
# of external references
FUNCTION_CACHE_SIZE = _readenv("NUMBA_FUNCTION_CACHE_SIZE", int, 128)
# Enable logging of cache operation
DEBUG_CACHE = _readenv("NUMBA_DEBUG_CACHE", int, DEBUG)
# Redirect cache directory
# Contains path to the directory
CACHE_DIR = _readenv("NUMBA_CACHE_DIR", str, "")
# Enable tracing support
TRACE = _readenv("NUMBA_TRACE", int, 0)
# Enable debugging of type inference
DEBUG_TYPEINFER = _readenv("NUMBA_DEBUG_TYPEINFER", int, 0)
# Configure compilation target to use the specified CPU name
# and CPU feature as the host information.
# Note: this overrides "host" option for AOT compilation.
CPU_NAME = _readenv("NUMBA_CPU_NAME", optional_str, None)
CPU_FEATURES = _readenv(
"NUMBA_CPU_FEATURES",
optional_str,
("" if str(CPU_NAME).lower() == "generic" else None),
)
# Optimization level
OPT = _readenv("NUMBA_OPT", int, 3)
# Force dump of Python bytecode
DUMP_BYTECODE = _readenv("NUMBA_DUMP_BYTECODE", int, DEBUG_FRONTEND)
# Force dump of control flow graph
DUMP_CFG = _readenv("NUMBA_DUMP_CFG", int, DEBUG_FRONTEND)
# Force dump of Numba IR
DUMP_IR = _readenv("NUMBA_DUMP_IR", int, DEBUG_FRONTEND or DEBUG_TYPEINFER)
# print debug info of analysis and optimization on array operations
DEBUG_ARRAY_OPT = _readenv("NUMBA_DEBUG_ARRAY_OPT", int, 0)
# insert debug stmts to print information at runtime
DEBUG_ARRAY_OPT_RUNTIME = _readenv("NUMBA_DEBUG_ARRAY_OPT_RUNTIME", int, 0)
# print stats about parallel for-loops
DEBUG_ARRAY_OPT_STATS = _readenv("NUMBA_DEBUG_ARRAY_OPT_STATS", int, 0)
# prints user friendly information about parllel
PARALLEL_DIAGNOSTICS = _readenv("NUMBA_PARALLEL_DIAGNOSTICS", int, 0)
# print debug info of inline closure pass
DEBUG_INLINE_CLOSURE = _readenv("NUMBA_DEBUG_INLINE_CLOSURE", int, 0)
# Force dump of LLVM IR
DUMP_LLVM = _readenv("NUMBA_DUMP_LLVM", int, DEBUG)
# Force dump of Function optimized LLVM IR
DUMP_FUNC_OPT = _readenv("NUMBA_DUMP_FUNC_OPT", int, DEBUG)
# Force dump of Optimized LLVM IR
DUMP_OPTIMIZED = _readenv("NUMBA_DUMP_OPTIMIZED", int, DEBUG)
# Force disable loop vectorize
# Loop vectorizer is disabled on 32-bit win32 due to a bug (#649)
LOOP_VECTORIZE = _readenv("NUMBA_LOOP_VECTORIZE", int, not (IS_WIN32 and IS_32BITS))
# Force dump of generated assembly
DUMP_ASSEMBLY = _readenv("NUMBA_DUMP_ASSEMBLY", int, DEBUG)
# Force dump of type annotation
ANNOTATE = _readenv("NUMBA_DUMP_ANNOTATION", int, 0)
# Dump IR in such as way as to aid in "diff"ing.
DIFF_IR = _readenv("NUMBA_DIFF_IR", int, 0)
# Dump type annotation in html format
def fmt_html_path(path):
if path is None:
return path
else:
return os.path.abspath(path)
HTML = _readenv("NUMBA_DUMP_HTML", fmt_html_path, None)
# Allow interpreter fallback so that Numba @jit decorator will never
# fail. Use for migrating from old numba (<0.12) which supported
# closure, and other yet-to-be-supported features.
COMPATIBILITY_MODE = _readenv("NUMBA_COMPATIBILITY_MODE", int, 0)
# x86-64 specific
# Enable AVX on supported platforms where it won't degrade performance.
def avx_default():
if not _os_supports_avx():
return False
else:
# There are various performance issues with AVX and LLVM
# on some CPUs (list at
# http://llvm.org/bugs/buglist.cgi?quicksearch=avx).
# For now we'd rather disable it, since it can pessimize code
cpu_name = ll.get_host_cpu_name()
return cpu_name not in (
"corei7-avx",
"core-avx-i",
"sandybridge",
"ivybridge",
)
ENABLE_AVX = _readenv("NUMBA_ENABLE_AVX", int, avx_default)
# if set and SVML is available, it will be disabled
# By default, it's disabled on 32-bit platforms.
DISABLE_INTEL_SVML = _readenv("NUMBA_DISABLE_INTEL_SVML", int, IS_32BITS)
# Disable jit for debugging
DISABLE_JIT = _readenv("NUMBA_DISABLE_JIT", int, 0)
# choose parallel backend to use
THREADING_LAYER = _readenv("NUMBA_THREADING_LAYER", str, "default")
# CUDA Configs
# Force CUDA compute capability to a specific version
FORCE_CUDA_CC = _readenv("NUMBA_FORCE_CUDA_CC", _parse_cc, None)
# Disable CUDA support
DISABLE_CUDA = _readenv("NUMBA_DISABLE_CUDA", int, int(MACHINE_BITS == 32))
# Enable CUDA simulator
ENABLE_CUDASIM = _readenv("NUMBA_ENABLE_CUDASIM", int, 0)
# CUDA logging level
# Any level name from the *logging* module. Case insensitive.
# Defaults to CRITICAL if not set or invalid.
# Note: This setting only applies when logging is not configured.
# Any existing logging configuration is preserved.
CUDA_LOG_LEVEL = _readenv("NUMBA_CUDA_LOG_LEVEL", str, "")
# Maximum number of pending CUDA deallocations (default: 10)
CUDA_DEALLOCS_COUNT = _readenv("NUMBA_CUDA_MAX_PENDING_DEALLOCS_COUNT", int, 10)
# Maximum ratio of pending CUDA deallocations to capacity (default: 0.2)
CUDA_DEALLOCS_RATIO = _readenv("NUMBA_CUDA_MAX_PENDING_DEALLOCS_RATIO", float, 0.2)
# HSA Configs
# Disable HSA support
DISABLE_HSA = _readenv("NUMBA_DISABLE_HSA", int, 0)
# The default number of threads to use.
NUMBA_DEFAULT_NUM_THREADS = max(1, multiprocessing.cpu_count())
# Numba thread pool size (defaults to number of CPUs on the system).
NUMBA_NUM_THREADS = _readenv("NUMBA_NUM_THREADS", int, NUMBA_DEFAULT_NUM_THREADS)
# Profiling support
# Indicates if a profiler detected. Only VTune can be detected for now
RUNNING_UNDER_PROFILER = "VS_PROFILER" in os.environ
# Enables jit events in LLVM to support profiling of dynamic code
ENABLE_PROFILING = _readenv(
"NUMBA_ENABLE_PROFILING", int, int(RUNNING_UNDER_PROFILER)
)
# Debug Info
# The default value for the `debug` flag
DEBUGINFO_DEFAULT = _readenv("NUMBA_DEBUGINFO", int, ENABLE_PROFILING)
CUDA_DEBUGINFO_DEFAULT = _readenv("NUMBA_CUDA_DEBUGINFO", int, 0)
# gdb binary location
GDB_BINARY = _readenv("NUMBA_GDB_BINARY", str, "/usr/bin/gdb")
# Inject the configuration values into the module globals
for name, value in locals().copy().items():
if name.isupper():
globals()[name] = value
|
def process_environ(self, environ):
def _readenv(name, ctor, default):
value = environ.get(name)
if value is None:
return default() if callable(default) else default
try:
return ctor(value)
except Exception:
warnings.warn(
"environ %s defined but failed to parse '%s'" % (name, value),
RuntimeWarning,
)
return default
def optional_str(x):
return str(x) if x is not None else None
# developer mode produces full tracebacks, disables help instructions
DEVELOPER_MODE = _readenv("NUMBA_DEVELOPER_MODE", int, 0)
# disable performance warnings, will switch of the generation of
# warnings of the class NumbaPerformanceWarning
DISABLE_PERFORMANCE_WARNINGS = _readenv(
"NUMBA_DISABLE_PERFORMANCE_WARNINGS", int, 0
)
# Flag to enable full exception reporting
FULL_TRACEBACKS = _readenv("NUMBA_FULL_TRACEBACKS", int, DEVELOPER_MODE)
# Show help text when an error occurs
SHOW_HELP = _readenv("NUMBA_SHOW_HELP", int, not DEVELOPER_MODE)
# The color scheme to use for error messages, default is no color
# just bold fonts in use.
COLOR_SCHEME = _readenv("NUMBA_COLOR_SCHEME", str, "no_color")
# Debug flag to control compiler debug print
DEBUG = _readenv("NUMBA_DEBUG", int, 0)
# DEBUG print IR after pass names
DEBUG_PRINT_AFTER = _readenv("NUMBA_DEBUG_PRINT_AFTER", str, "none")
# JIT Debug flag to trigger IR instruction print
DEBUG_JIT = _readenv("NUMBA_DEBUG_JIT", int, 0)
# Enable debugging of front-end operation
# (up to and including IR generation)
DEBUG_FRONTEND = _readenv("NUMBA_DEBUG_FRONTEND", int, 0)
# How many recently deserialized functions to retain regardless
# of external references
FUNCTION_CACHE_SIZE = _readenv("NUMBA_FUNCTION_CACHE_SIZE", int, 128)
# Enable logging of cache operation
DEBUG_CACHE = _readenv("NUMBA_DEBUG_CACHE", int, DEBUG)
# Redirect cache directory
# Contains path to the directory
CACHE_DIR = _readenv("NUMBA_CACHE_DIR", str, "")
# Enable tracing support
TRACE = _readenv("NUMBA_TRACE", int, 0)
# Enable debugging of type inference
DEBUG_TYPEINFER = _readenv("NUMBA_DEBUG_TYPEINFER", int, 0)
# Configure compilation target to use the specified CPU name
# and CPU feature as the host information.
# Note: this overrides "host" option for AOT compilation.
CPU_NAME = _readenv("NUMBA_CPU_NAME", optional_str, None)
CPU_FEATURES = _readenv(
"NUMBA_CPU_FEATURES",
optional_str,
("" if str(CPU_NAME).lower() == "generic" else None),
)
# Optimization level
OPT = _readenv("NUMBA_OPT", int, 3)
# Force dump of Python bytecode
DUMP_BYTECODE = _readenv("NUMBA_DUMP_BYTECODE", int, DEBUG_FRONTEND)
# Force dump of control flow graph
DUMP_CFG = _readenv("NUMBA_DUMP_CFG", int, DEBUG_FRONTEND)
# Force dump of Numba IR
DUMP_IR = _readenv("NUMBA_DUMP_IR", int, DEBUG_FRONTEND or DEBUG_TYPEINFER)
# print debug info of analysis and optimization on array operations
DEBUG_ARRAY_OPT = _readenv("NUMBA_DEBUG_ARRAY_OPT", int, 0)
# insert debug stmts to print information at runtime
DEBUG_ARRAY_OPT_RUNTIME = _readenv("NUMBA_DEBUG_ARRAY_OPT_RUNTIME", int, 0)
# print stats about parallel for-loops
DEBUG_ARRAY_OPT_STATS = _readenv("NUMBA_DEBUG_ARRAY_OPT_STATS", int, 0)
# prints user friendly information about parllel
PARALLEL_DIAGNOSTICS = _readenv("NUMBA_PARALLEL_DIAGNOSTICS", int, 0)
# print debug info of inline closure pass
DEBUG_INLINE_CLOSURE = _readenv("NUMBA_DEBUG_INLINE_CLOSURE", int, 0)
# Force dump of LLVM IR
DUMP_LLVM = _readenv("NUMBA_DUMP_LLVM", int, DEBUG)
# Force dump of Function optimized LLVM IR
DUMP_FUNC_OPT = _readenv("NUMBA_DUMP_FUNC_OPT", int, DEBUG)
# Force dump of Optimized LLVM IR
DUMP_OPTIMIZED = _readenv("NUMBA_DUMP_OPTIMIZED", int, DEBUG)
# Force disable loop vectorize
# Loop vectorizer is disabled on 32-bit win32 due to a bug (#649)
LOOP_VECTORIZE = _readenv("NUMBA_LOOP_VECTORIZE", int, not (IS_WIN32 and IS_32BITS))
# Force dump of generated assembly
DUMP_ASSEMBLY = _readenv("NUMBA_DUMP_ASSEMBLY", int, DEBUG)
# Force dump of type annotation
ANNOTATE = _readenv("NUMBA_DUMP_ANNOTATION", int, 0)
# Dump IR in such as way as to aid in "diff"ing.
DIFF_IR = _readenv("NUMBA_DIFF_IR", int, 0)
# Dump type annotation in html format
def fmt_html_path(path):
if path is None:
return path
else:
return os.path.abspath(path)
HTML = _readenv("NUMBA_DUMP_HTML", fmt_html_path, None)
# Allow interpreter fallback so that Numba @jit decorator will never
# fail. Use for migrating from old numba (<0.12) which supported
# closure, and other yet-to-be-supported features.
COMPATIBILITY_MODE = _readenv("NUMBA_COMPATIBILITY_MODE", int, 0)
# x86-64 specific
# Enable AVX on supported platforms where it won't degrade performance.
def avx_default():
if not _os_supports_avx():
return False
else:
# There are various performance issues with AVX and LLVM
# on some CPUs (list at
# http://llvm.org/bugs/buglist.cgi?quicksearch=avx).
# For now we'd rather disable it, since it can pessimize code
cpu_name = ll.get_host_cpu_name()
return cpu_name not in (
"corei7-avx",
"core-avx-i",
"sandybridge",
"ivybridge",
)
ENABLE_AVX = _readenv("NUMBA_ENABLE_AVX", int, avx_default)
# if set and SVML is available, it will be disabled
# By default, it's disabled on 32-bit platforms.
DISABLE_INTEL_SVML = _readenv("NUMBA_DISABLE_INTEL_SVML", int, IS_32BITS)
# Disable jit for debugging
DISABLE_JIT = _readenv("NUMBA_DISABLE_JIT", int, 0)
# choose parallel backend to use
THREADING_LAYER = _readenv("NUMBA_THREADING_LAYER", str, "default")
# CUDA Configs
# Force CUDA compute capability to a specific version
FORCE_CUDA_CC = _readenv("NUMBA_FORCE_CUDA_CC", _parse_cc, None)
# Disable CUDA support
DISABLE_CUDA = _readenv("NUMBA_DISABLE_CUDA", int, int(MACHINE_BITS == 32))
# Enable CUDA simulator
ENABLE_CUDASIM = _readenv("NUMBA_ENABLE_CUDASIM", int, 0)
# CUDA logging level
# Any level name from the *logging* module. Case insensitive.
# Defaults to CRITICAL if not set or invalid.
# Note: This setting only applies when logging is not configured.
# Any existing logging configuration is preserved.
CUDA_LOG_LEVEL = _readenv("NUMBA_CUDA_LOG_LEVEL", str, "")
# Maximum number of pending CUDA deallocations (default: 10)
CUDA_DEALLOCS_COUNT = _readenv("NUMBA_CUDA_MAX_PENDING_DEALLOCS_COUNT", int, 10)
# Maximum ratio of pending CUDA deallocations to capacity (default: 0.2)
CUDA_DEALLOCS_RATIO = _readenv("NUMBA_CUDA_MAX_PENDING_DEALLOCS_RATIO", float, 0.2)
# HSA Configs
# Disable HSA support
DISABLE_HSA = _readenv("NUMBA_DISABLE_HSA", int, 0)
# The default number of threads to use.
NUMBA_DEFAULT_NUM_THREADS = max(1, multiprocessing.cpu_count())
# Numba thread pool size (defaults to number of CPUs on the system).
NUMBA_NUM_THREADS = _readenv("NUMBA_NUM_THREADS", int, NUMBA_DEFAULT_NUM_THREADS)
# Profiling support
# Indicates if a profiler detected. Only VTune can be detected for now
RUNNING_UNDER_PROFILER = "VS_PROFILER" in os.environ
# Enables jit events in LLVM to support profiling of dynamic code
ENABLE_PROFILING = _readenv(
"NUMBA_ENABLE_PROFILING", int, int(RUNNING_UNDER_PROFILER)
)
# Debug Info
# The default value for the `debug` flag
DEBUGINFO_DEFAULT = _readenv("NUMBA_DEBUGINFO", int, ENABLE_PROFILING)
CUDA_DEBUGINFO_DEFAULT = _readenv("NUMBA_CUDA_DEBUGINFO", int, 0)
# gdb binary location
GDB_BINARY = _readenv("NUMBA_GDB_BINARY", str, "/usr/bin/gdb")
# Inject the configuration values into the module globals
for name, value in locals().copy().items():
if name.isupper():
globals()[name] = 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 add_edge(self, src, dest, data=None):
"""
Add an edge from node *src* to node *dest*, with optional
per-edge *data*.
If such an edge already exists, it is replaced (duplicate edges
are not possible).
"""
if src not in self._nodes:
raise ValueError(
"Cannot add edge as src node %s not in nodes %s" % (src, self._nodes)
)
if dest not in self._nodes:
raise ValueError(
"Cannot add edge as dest node %s not in nodes %s" % (dest, self._nodes)
)
self._add_edge(src, dest, data)
|
def add_edge(self, src, dest, data=None):
"""
Add an edge from node *src* to node *dest*, with optional
per-edge *data*.
If such an edge already exists, it is replaced (duplicate edges
are not possible).
"""
assert src in self._nodes
assert dest in self._nodes
self._add_edge(src, dest, data)
|
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):
for inst in self._iter_inst():
fname = "op_%s" % inst.opname
fn = getattr(self, fname, None)
if fn is not None:
fn(inst)
elif inst.is_jump:
# this catches e.g. try... except
l = Loc(self.bytecode.func_id.filename, inst.lineno)
if inst.opname in {"SETUP_EXCEPT", "SETUP_FINALLY"}:
msg = "'try' block not supported until python3.7 or later"
else:
msg = "Use of unsupported opcode (%s) found" % inst.opname
raise UnsupportedError(msg, loc=l)
else:
# Non-jump instructions are ignored
pass # intentionally
# Close all blocks
for cur, nxt in zip(self.blockseq, self.blockseq[1:]):
blk = self.blocks[cur]
if not blk.outgoing_jumps and not blk.terminating:
blk.outgoing_jumps[nxt] = 0
graph = CFGraph()
for b in self.blocks:
graph.add_node(b)
for b in self.blocks.values():
for out, pops in b.outgoing_jumps.items():
graph.add_edge(b.offset, out, pops)
graph.set_entry_point(min(self.blocks))
graph.process()
self.graph = graph
# Fill incoming
for b in utils.itervalues(self.blocks):
for out, pops in b.outgoing_jumps.items():
self.blocks[out].incoming_jumps[b.offset] = pops
# Find liveblocks
self.liveblocks = dict((i, self.blocks[i]) for i in self.graph.nodes())
for lastblk in reversed(self.blockseq):
if lastblk in self.liveblocks:
break
else:
raise AssertionError("No live block that exits!?")
# Find backbone
backbone = self.graph.backbone()
# Filter out in loop blocks (Assuming no other cyclic control blocks)
# This is to unavoid variable defined in loops to be considered as
# function scope.
inloopblocks = set()
for b in self.blocks.keys():
if self.graph.in_loops(b):
inloopblocks.add(b)
self.backbone = backbone - inloopblocks
|
def run(self):
for inst in self._iter_inst():
fname = "op_%s" % inst.opname
fn = getattr(self, fname, None)
if fn is not None:
fn(inst)
else:
# this catches e.g. try... except
if inst.is_jump:
l = Loc(self.bytecode.func_id.filename, inst.lineno)
msg = "Use of unsupported opcode (%s) found" % inst.opname
raise UnsupportedError(msg, loc=l)
# Close all blocks
for cur, nxt in zip(self.blockseq, self.blockseq[1:]):
blk = self.blocks[cur]
if not blk.outgoing_jumps and not blk.terminating:
blk.outgoing_jumps[nxt] = 0
graph = CFGraph()
for b in self.blocks:
graph.add_node(b)
for b in self.blocks.values():
for out, pops in b.outgoing_jumps.items():
graph.add_edge(b.offset, out, pops)
graph.set_entry_point(min(self.blocks))
graph.process()
self.graph = graph
# Fill incoming
for b in utils.itervalues(self.blocks):
for out, pops in b.outgoing_jumps.items():
self.blocks[out].incoming_jumps[b.offset] = pops
# Find liveblocks
self.liveblocks = dict((i, self.blocks[i]) for i in self.graph.nodes())
for lastblk in reversed(self.blockseq):
if lastblk in self.liveblocks:
break
else:
raise AssertionError("No live block that exits!?")
# Find backbone
backbone = self.graph.backbone()
# Filter out in loop blocks (Assuming no other cyclic control blocks)
# This is to unavoid variable defined in loops to be considered as
# function scope.
inloopblocks = set()
for b in self.blocks.keys():
if self.graph.in_loops(b):
inloopblocks.add(b)
self.backbone = backbone - inloopblocks
|
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 __eq__(self, other):
if not isinstance(other, CFGraph):
raise NotImplementedError
# A few derived items are checked to makes sure process() has been
# invoked equally.
for x in [
"_nodes",
"_edge_data",
"_entry_point",
"_preds",
"_succs",
"_doms",
"_back_edges",
]:
this = getattr(self, x, None)
that = getattr(other, x, None)
if this != that:
return False
return True
|
def __eq__(self, other):
return isinstance(other, Loop) and other.header == self.header
|
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 compile_cuda(pyfunc, return_type, args, debug, inline):
# First compilation will trigger the initialization of the CUDA backend.
from .descriptor import CUDATargetDesc
typingctx = CUDATargetDesc.typingctx
targetctx = CUDATargetDesc.targetctx
# TODO handle debug flag
flags = compiler.Flags()
# Do not compile (generate native code), just lower (to LLVM)
flags.set("no_compile")
flags.set("no_cpython_wrapper")
if debug:
flags.set("debuginfo")
if inline:
flags.set("forceinline")
# Run compilation pipeline
cres = compiler.compile_extra(
typingctx=typingctx,
targetctx=targetctx,
func=pyfunc,
args=args,
return_type=return_type,
flags=flags,
locals={},
)
library = cres.library
library.finalize()
return cres
|
def compile_cuda(pyfunc, return_type, args, debug, inline):
# First compilation will trigger the initialization of the CUDA backend.
from .descriptor import CUDATargetDesc
typingctx = CUDATargetDesc.typingctx
targetctx = CUDATargetDesc.targetctx
# TODO handle debug flag
flags = compiler.Flags()
# Do not compile (generate native code), just lower (to LLVM)
flags.set("no_compile")
flags.set("no_cpython_wrapper")
if debug:
flags.set("boundcheck")
flags.set("debuginfo")
if inline:
flags.set("forceinline")
# Run compilation pipeline
cres = compiler.compile_extra(
typingctx=typingctx,
targetctx=targetctx,
func=pyfunc,
args=args,
return_type=return_type,
flags=flags,
locals={},
)
library = cres.library
library.finalize()
return cres
|
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 _atomic_dispatcher(dispatch_fn):
def imp(context, builder, sig, args):
# The common argument handling code
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indty, indices = _normalize_indices(context, builder, indty, inds)
if dtype != valty:
raise TypeError("expect %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)
# dispatcher to implementation base on dtype
return dispatch_fn(context, builder, dtype, ptr, val)
return imp
|
def _atomic_dispatcher(dispatch_fn):
def imp(context, builder, sig, args):
# The common argument handling code
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indty, indices = _normalize_indices(context, builder, indty, inds)
if dtype != valty:
raise TypeError("expect %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)
# dispatcher to implementation base on dtype
return dispatch_fn(context, builder, dtype, ptr, val)
return 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 imp(context, builder, sig, args):
# The common argument handling code
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indty, indices = _normalize_indices(context, builder, indty, inds)
if dtype != valty:
raise TypeError("expect %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)
# dispatcher to implementation base on dtype
return dispatch_fn(context, builder, dtype, ptr, val)
|
def imp(context, builder, sig, args):
# The common argument handling code
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indty, indices = _normalize_indices(context, builder, indty, inds)
if dtype != valty:
raise TypeError("expect %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)
# dispatcher to implementation base on dtype
return dispatch_fn(context, builder, dtype, ptr, 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 ptx_atomic_cas_tuple(context, builder, sig, args):
aryty, oldty, valty = sig.args
ary, old, val = args
dtype = aryty.dtype
lary = context.make_array(aryty)(context, builder, ary)
zero = context.get_constant(types.intp, 0)
ptr = cgutils.get_item_pointer(context, builder, aryty, lary, (zero,))
if aryty.dtype == types.int32:
lmod = builder.module
return builder.call(nvvmutils.declare_atomic_cas_int32(lmod), (ptr, old, val))
else:
raise TypeError("Unimplemented atomic compare_and_swap with %s array" % dtype)
|
def ptx_atomic_cas_tuple(context, builder, sig, args):
aryty, oldty, valty = sig.args
ary, old, val = args
dtype = aryty.dtype
lary = context.make_array(aryty)(context, builder, ary)
zero = context.get_constant(types.intp, 0)
ptr = cgutils.get_item_pointer(builder, aryty, lary, (zero,))
if aryty.dtype == types.int32:
lmod = builder.module
return builder.call(nvvmutils.declare_atomic_cas_int32(lmod), (ptr, old, val))
else:
raise TypeError("Unimplemented atomic compare_and_swap with %s array" % 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 jit(
func_or_sig=None,
argtypes=None,
device=False,
inline=False,
bind=True,
link=[],
debug=None,
**kws,
):
"""
JIT compile a python function conforming to the CUDA Python specification.
If a signature is supplied, then a function is returned that takes a
function to compile. If
:param func_or_sig: A function to JIT compile, or a signature of a function
to compile. If a function is supplied, then an :class:`AutoJitCUDAKernel`
is returned. If a signature is supplied, then a function which takes a
function to compile and returns an :class:`AutoJitCUDAKernel` is
returned.
.. note:: A kernel cannot have any return value.
:type func_or_sig: function or numba.typing.Signature
:param device: Indicates whether this is a device function.
:type device: bool
:param bind: Force binding to CUDA context immediately
:type bind: bool
:param link: A list of files containing PTX source to link with the function
:type link: list
:param debug: If True, check for exceptions thrown when executing the
kernel. Since this degrades performance, this should only be used for
debugging purposes. Defaults to False. (The default value can be
overriden by setting environment variable ``NUMBA_CUDA_DEBUGINFO=1``.)
:param fastmath: If true, enables flush-to-zero and fused-multiply-add,
disables precise division and square root. This parameter has no effect
on device function, whose fastmath setting depends on the kernel function
from which they are called.
:param max_registers: Limit the kernel to using at most this number of
registers per thread. Useful for increasing occupancy.
"""
debug = config.CUDA_DEBUGINFO_DEFAULT if debug is None else debug
if link and config.ENABLE_CUDASIM:
raise NotImplementedError("Cannot link PTX in the simulator")
if "boundscheck" in kws:
raise NotImplementedError("bounds checking is not supported for CUDA")
fastmath = kws.get("fastmath", False)
if argtypes is None and not sigutils.is_signature(func_or_sig):
if func_or_sig is None:
if config.ENABLE_CUDASIM:
def autojitwrapper(func):
return FakeCUDAKernel(
func, device=device, fastmath=fastmath, debug=debug
)
else:
def autojitwrapper(func):
return jit(func, device=device, bind=bind, debug=debug, **kws)
return autojitwrapper
# func_or_sig is a function
else:
if config.ENABLE_CUDASIM:
return FakeCUDAKernel(
func_or_sig, device=device, fastmath=fastmath, debug=debug
)
elif device:
return jitdevice(func_or_sig, debug=debug, **kws)
else:
targetoptions = kws.copy()
targetoptions["debug"] = debug
return AutoJitCUDAKernel(
func_or_sig, bind=bind, targetoptions=targetoptions
)
else:
if config.ENABLE_CUDASIM:
def jitwrapper(func):
return FakeCUDAKernel(
func, device=device, fastmath=fastmath, debug=debug
)
return jitwrapper
restype, argtypes = convert_types(func_or_sig, argtypes)
if restype and not device and restype != types.void:
raise TypeError("CUDA kernel must have void return type.")
def kernel_jit(func):
kernel = compile_kernel(
func, argtypes, link=link, debug=debug, inline=inline, fastmath=fastmath
)
# Force compilation for the current context
if bind:
kernel.bind()
return kernel
def device_jit(func):
return compile_device(func, restype, argtypes, inline=inline, debug=debug)
if device:
return device_jit
else:
return kernel_jit
|
def jit(
func_or_sig=None,
argtypes=None,
device=False,
inline=False,
bind=True,
link=[],
debug=None,
**kws,
):
"""
JIT compile a python function conforming to the CUDA Python specification.
If a signature is supplied, then a function is returned that takes a
function to compile. If
:param func_or_sig: A function to JIT compile, or a signature of a function
to compile. If a function is supplied, then an :class:`AutoJitCUDAKernel`
is returned. If a signature is supplied, then a function which takes a
function to compile and returns an :class:`AutoJitCUDAKernel` is
returned.
.. note:: A kernel cannot have any return value.
:type func_or_sig: function or numba.typing.Signature
:param device: Indicates whether this is a device function.
:type device: bool
:param bind: Force binding to CUDA context immediately
:type bind: bool
:param link: A list of files containing PTX source to link with the function
:type link: list
:param debug: If True, check for exceptions thrown when executing the
kernel. Since this degrades performance, this should only be used for
debugging purposes. Defaults to False. (The default value can be
overriden by setting environment variable ``NUMBA_CUDA_DEBUGINFO=1``.)
:param fastmath: If true, enables flush-to-zero and fused-multiply-add,
disables precise division and square root. This parameter has no effect
on device function, whose fastmath setting depends on the kernel function
from which they are called.
:param max_registers: Limit the kernel to using at most this number of
registers per thread. Useful for increasing occupancy.
"""
debug = config.CUDA_DEBUGINFO_DEFAULT if debug is None else debug
if link and config.ENABLE_CUDASIM:
raise NotImplementedError("Cannot link PTX in the simulator")
fastmath = kws.get("fastmath", False)
if argtypes is None and not sigutils.is_signature(func_or_sig):
if func_or_sig is None:
if config.ENABLE_CUDASIM:
def autojitwrapper(func):
return FakeCUDAKernel(
func, device=device, fastmath=fastmath, debug=debug
)
else:
def autojitwrapper(func):
return jit(func, device=device, bind=bind, debug=debug, **kws)
return autojitwrapper
# func_or_sig is a function
else:
if config.ENABLE_CUDASIM:
return FakeCUDAKernel(
func_or_sig, device=device, fastmath=fastmath, debug=debug
)
elif device:
return jitdevice(func_or_sig, debug=debug, **kws)
else:
targetoptions = kws.copy()
targetoptions["debug"] = debug
return AutoJitCUDAKernel(
func_or_sig, bind=bind, targetoptions=targetoptions
)
else:
if config.ENABLE_CUDASIM:
def jitwrapper(func):
return FakeCUDAKernel(
func, device=device, fastmath=fastmath, debug=debug
)
return jitwrapper
restype, argtypes = convert_types(func_or_sig, argtypes)
if restype and not device and restype != types.void:
raise TypeError("CUDA kernel must have void return type.")
def kernel_jit(func):
kernel = compile_kernel(
func, argtypes, link=link, debug=debug, inline=inline, fastmath=fastmath
)
# Force compilation for the current context
if bind:
kernel.bind()
return kernel
def device_jit(func):
return compile_device(func, restype, argtypes, inline=inline, debug=debug)
if device:
return device_jit
else:
return kernel_jit
|
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 jit(
func_or_sig=None,
device=False,
debug=False,
argtypes=None,
inline=False,
restype=None,
fastmath=False,
link=None,
boundscheck=None,
):
# Here for API compatibility
if boundscheck is not None:
raise NotImplementedError("bounds checking is not supported for CUDA")
if link is not None:
raise NotImplementedError("Cannot link PTX in the simulator")
# Check for first argument specifying types - in that case the
# decorator is not being passed a function
if func_or_sig is None or isinstance(func_or_sig, (str, tuple, Signature)):
def jitwrapper(fn):
return FakeCUDAKernel(fn, device=device, fastmath=fastmath)
return jitwrapper
return FakeCUDAKernel(func_or_sig, device=device)
|
def jit(
func_or_sig=None,
device=False,
debug=False,
argtypes=None,
inline=False,
restype=None,
fastmath=False,
link=None,
):
if link is not None:
raise NotImplementedError("Cannot link PTX in the simulator")
# Check for first argument specifying types - in that case the
# decorator is not being passed a function
if func_or_sig is None or isinstance(func_or_sig, (str, tuple, Signature)):
def jitwrapper(fn):
return FakeCUDAKernel(fn, device=device, fastmath=fastmath)
return jitwrapper
return FakeCUDAKernel(func_or_sig, device=device)
|
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 jit(
signature_or_function=None,
locals={},
target="cpu",
cache=False,
pipeline_class=None,
boundscheck=False,
**options,
):
"""
This decorator is used to compile a Python function into native code.
Args
-----
signature_or_function:
The (optional) signature or list of signatures to be compiled.
If not passed, required signatures will be compiled when the
decorated function is called, depending on the argument values.
As a convenience, you can directly pass the function to be compiled
instead.
locals: dict
Mapping of local variable names to Numba types. Used to override the
types deduced by Numba's type inference engine.
target: str
Specifies the target platform to compile for. Valid targets are cpu,
gpu, npyufunc, and cuda. Defaults to cpu.
pipeline_class: type numba.compiler.CompilerBase
The compiler pipeline type for customizing the compilation stages.
options:
For a cpu target, valid options are:
nopython: bool
Set to True to disable the use of PyObjects and Python API
calls. The default behavior is to allow the use of PyObjects
and Python API. Default value is False.
forceobj: bool
Set to True to force the use of PyObjects for every value.
Default value is False.
looplift: bool
Set to True to enable jitting loops in nopython mode while
leaving surrounding code in object mode. This allows functions
to allocate NumPy arrays and use Python objects, while the
tight loops in the function can still be compiled in nopython
mode. Any arrays that the tight loop uses should be created
before the loop is entered. Default value is True.
error_model: str
The error-model affects divide-by-zero behavior.
Valid values are 'python' and 'numpy'. The 'python' model
raises exception. The 'numpy' model sets the result to
*+/-inf* or *nan*. Default value is 'python'.
inline: str or callable
The inline option will determine whether a function is inlined
at into its caller if called. String options are 'never'
(default) which will never inline, and 'always', which will
always inline. If a callable is provided it will be called with
the call expression node that is requesting inlining, the
caller's IR and callee's IR as arguments, it is expected to
return Truthy as to whether to inline.
NOTE: This inlining is performed at the Numba IR level and is in
no way related to LLVM inlining.
boundscheck: bool
Set to True to enable bounds checking for array indices. Out
of bounds accesses will raise IndexError. The default is to
not do bounds checking. If bounds checking is disabled, out of
bounds accesses can produce garbage results or segfaults.
However, enabling bounds checking will slow down typical
functions, so it is recommended to only use this flag for
debugging. You can also set the NUMBA_BOUNDSCHECK environment
variable to 0 or 1 to globally override this flag.
Returns
--------
A callable usable as a compiled function. Actual compiling will be
done lazily if no explicit signatures are passed.
Examples
--------
The function can be used in the following ways:
1) jit(signatures, target='cpu', **targetoptions) -> jit(function)
Equivalent to:
d = dispatcher(function, targetoptions)
for signature in signatures:
d.compile(signature)
Create a dispatcher object for a python function. Then, compile
the function with the given signature(s).
Example:
@jit("int32(int32, int32)")
def foo(x, y):
return x + y
@jit(["int32(int32, int32)", "float32(float32, float32)"])
def bar(x, y):
return x + y
2) jit(function, target='cpu', **targetoptions) -> dispatcher
Create a dispatcher function object that specializes at call site.
Examples:
@jit
def foo(x, y):
return x + y
@jit(target='cpu', nopython=True)
def bar(x, y):
return x + y
"""
if "argtypes" in options:
raise DeprecationError(_msg_deprecated_signature_arg.format("argtypes"))
if "restype" in options:
raise DeprecationError(_msg_deprecated_signature_arg.format("restype"))
options["boundscheck"] = boundscheck
# Handle signature
if signature_or_function is None:
# No signature, no function
pyfunc = None
sigs = None
elif isinstance(signature_or_function, list):
# A list of signatures is passed
pyfunc = None
sigs = signature_or_function
elif sigutils.is_signature(signature_or_function):
# A single signature is passed
pyfunc = None
sigs = [signature_or_function]
else:
# A function is passed
pyfunc = signature_or_function
sigs = None
dispatcher_args = {}
if pipeline_class is not None:
dispatcher_args["pipeline_class"] = pipeline_class
wrapper = _jit(
sigs,
locals=locals,
target=target,
cache=cache,
targetoptions=options,
**dispatcher_args,
)
if pyfunc is not None:
return wrapper(pyfunc)
else:
return wrapper
|
def jit(
signature_or_function=None,
locals={},
target="cpu",
cache=False,
pipeline_class=None,
**options,
):
"""
This decorator is used to compile a Python function into native code.
Args
-----
signature_or_function:
The (optional) signature or list of signatures to be compiled.
If not passed, required signatures will be compiled when the
decorated function is called, depending on the argument values.
As a convenience, you can directly pass the function to be compiled
instead.
locals: dict
Mapping of local variable names to Numba types. Used to override the
types deduced by Numba's type inference engine.
target: str
Specifies the target platform to compile for. Valid targets are cpu,
gpu, npyufunc, and cuda. Defaults to cpu.
pipeline_class: type numba.compiler.CompilerBase
The compiler pipeline type for customizing the compilation stages.
options:
For a cpu target, valid options are:
nopython: bool
Set to True to disable the use of PyObjects and Python API
calls. The default behavior is to allow the use of PyObjects
and Python API. Default value is False.
forceobj: bool
Set to True to force the use of PyObjects for every value.
Default value is False.
looplift: bool
Set to True to enable jitting loops in nopython mode while
leaving surrounding code in object mode. This allows functions
to allocate NumPy arrays and use Python objects, while the
tight loops in the function can still be compiled in nopython
mode. Any arrays that the tight loop uses should be created
before the loop is entered. Default value is True.
error_model: str
The error-model affects divide-by-zero behavior.
Valid values are 'python' and 'numpy'. The 'python' model
raises exception. The 'numpy' model sets the result to
*+/-inf* or *nan*. Default value is 'python'.
inline: str or callable
The inline option will determine whether a function is inlined
at into its caller if called. String options are 'never'
(default) which will never inline, and 'always', which will
always inline. If a callable is provided it will be called with
the call expression node that is requesting inlining, the
caller's IR and callee's IR as arguments, it is expected to
return Truthy as to whether to inline.
NOTE: This inlining is performed at the Numba IR level and is in
no way related to LLVM inlining.
Returns
--------
A callable usable as a compiled function. Actual compiling will be
done lazily if no explicit signatures are passed.
Examples
--------
The function can be used in the following ways:
1) jit(signatures, target='cpu', **targetoptions) -> jit(function)
Equivalent to:
d = dispatcher(function, targetoptions)
for signature in signatures:
d.compile(signature)
Create a dispatcher object for a python function. Then, compile
the function with the given signature(s).
Example:
@jit("int32(int32, int32)")
def foo(x, y):
return x + y
@jit(["int32(int32, int32)", "float32(float32, float32)"])
def bar(x, y):
return x + y
2) jit(function, target='cpu', **targetoptions) -> dispatcher
Create a dispatcher function object that specializes at call site.
Examples:
@jit
def foo(x, y):
return x + y
@jit(target='cpu', nopython=True)
def bar(x, y):
return x + y
"""
if "argtypes" in options:
raise DeprecationError(_msg_deprecated_signature_arg.format("argtypes"))
if "restype" in options:
raise DeprecationError(_msg_deprecated_signature_arg.format("restype"))
# Handle signature
if signature_or_function is None:
# No signature, no function
pyfunc = None
sigs = None
elif isinstance(signature_or_function, list):
# A list of signatures is passed
pyfunc = None
sigs = signature_or_function
elif sigutils.is_signature(signature_or_function):
# A single signature is passed
pyfunc = None
sigs = [signature_or_function]
else:
# A function is passed
pyfunc = signature_or_function
sigs = None
dispatcher_args = {}
if pipeline_class is not None:
dispatcher_args["pipeline_class"] = pipeline_class
wrapper = _jit(
sigs,
locals=locals,
target=target,
cache=cache,
targetoptions=options,
**dispatcher_args,
)
if pyfunc is not None:
return wrapper(pyfunc)
else:
return wrapper
|
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_extent(self):
firstidx = [0] * self.ndim
lastidx = [s - 1 for s in self.shape]
start = compute_index(firstidx, self.dims)
stop = compute_index(lastidx, self.dims) + self.itemsize
stop = max(stop, start) # ensure positive extent
return Extent(start, stop)
|
def _compute_extent(self):
firstidx = [0] * self.ndim
lastidx = [s - 1 for s in self.shape]
start = compute_index(firstidx, self.dims)
stop = compute_index(lastidx, self.dims) + self.itemsize
stop = max(stop, start) # ensure postive extent
return Extent(start, stop)
|
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 ravel(self, order="C"):
if order not in "CFA":
raise ValueError("order not C|F|A")
if self.ndim <= 1:
return self
elif order in "CA" and self.is_c_contig or order in "FA" and self.is_f_contig:
newshape = (self.size,)
newstrides = (self.itemsize,)
arr = self.from_desc(self.extent.begin, newshape, newstrides, self.itemsize)
return arr, list(self.iter_contiguous_extent())
else:
raise NotImplementedError("ravel on non-contiguous array")
|
def ravel(self, order="C"):
if order not in "CFA":
raise ValueError("order not C|F|A")
if self.ndim <= 1:
return self
elif order == "C" and self.is_c_contig or order == "F" and self.is_f_contig:
newshape = (self.size,)
newstrides = (self.itemsize,)
arr = self.from_desc(self.extent.begin, newshape, newstrides, self.itemsize)
return arr, list(self.iter_contiguous_extent())
else:
raise NotImplementedError("ravel on non-contiguous array")
|
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 overload_attribute(typ, attr, **kwargs):
"""
A decorator marking the decorated function as typing and implementing
attribute *attr* for the given Numba type in nopython mode.
*kwargs* are passed to the underlying `@overload` call.
Here is an example implementing .nbytes for array types::
@overload_attribute(types.Array, 'nbytes')
def array_nbytes(arr):
def get(arr):
return arr.size * arr.itemsize
return get
"""
# TODO implement setters
from .typing.templates import make_overload_attribute_template
def decorate(overload_func):
template = make_overload_attribute_template(
typ,
attr,
overload_func,
inline=kwargs.get("inline", "never"),
)
infer_getattr(template)
overload(overload_func, **kwargs)(overload_func)
return overload_func
return decorate
|
def overload_attribute(typ, attr):
"""
A decorator marking the decorated function as typing and implementing
attribute *attr* for the given Numba type in nopython mode.
Here is an example implementing .nbytes for array types::
@overload_attribute(types.Array, 'nbytes')
def array_nbytes(arr):
def get(arr):
return arr.size * arr.itemsize
return get
"""
# TODO implement setters
from .typing.templates import make_overload_attribute_template
def decorate(overload_func):
template = make_overload_attribute_template(typ, attr, overload_func)
infer_getattr(template)
return overload_func
return decorate
|
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 decorate(overload_func):
template = make_overload_attribute_template(
typ,
attr,
overload_func,
inline=kwargs.get("inline", "never"),
)
infer_getattr(template)
overload(overload_func, **kwargs)(overload_func)
return overload_func
|
def decorate(overload_func):
template = make_overload_attribute_template(typ, attr, overload_func)
infer_getattr(template)
return overload_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 overload_method(typ, attr, **kwargs):
"""
A decorator marking the decorated function as typing and implementing
attribute *attr* for the given Numba type in nopython mode.
*kwargs* are passed to the underlying `@overload` call.
Here is an example implementing .take() for array types::
@overload_method(types.Array, 'take')
def array_take(arr, indices):
if isinstance(indices, types.Array):
def take_impl(arr, indices):
n = indices.shape[0]
res = np.empty(n, arr.dtype)
for i in range(n):
res[i] = arr[indices[i]]
return res
return take_impl
"""
from .typing.templates import make_overload_method_template
def decorate(overload_func):
template = make_overload_method_template(
typ,
attr,
overload_func,
inline=kwargs.get("inline", "never"),
)
infer_getattr(template)
overload(overload_func, **kwargs)(overload_func)
return overload_func
return decorate
|
def overload_method(typ, attr):
"""
A decorator marking the decorated function as typing and implementing
attribute *attr* for the given Numba type in nopython mode.
Here is an example implementing .take() for array types::
@overload_method(types.Array, 'take')
def array_take(arr, indices):
if isinstance(indices, types.Array):
def take_impl(arr, indices):
n = indices.shape[0]
res = np.empty(n, arr.dtype)
for i in range(n):
res[i] = arr[indices[i]]
return res
return take_impl
"""
from .typing.templates import make_overload_method_template
def decorate(overload_func):
template = make_overload_method_template(typ, attr, overload_func)
infer_getattr(template)
return overload_func
return decorate
|
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 decorate(overload_func):
template = make_overload_method_template(
typ,
attr,
overload_func,
inline=kwargs.get("inline", "never"),
)
infer_getattr(template)
overload(overload_func, **kwargs)(overload_func)
return overload_func
|
def decorate(overload_func):
template = make_overload_method_template(typ, attr, overload_func)
infer_getattr(template)
return overload_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 _get_callee_args(call_expr, callee, loc, func_ir):
"""Get arguments for calling 'callee', including the default arguments.
keyword arguments are currently only handled when 'callee' is a function.
"""
if call_expr.op == "call":
args = list(call_expr.args)
elif call_expr.op == "getattr":
args = [call_expr.value]
else:
raise TypeError("Unsupported ir.Expr.{}".format(call_expr.op))
debug_print = _make_debug_print("inline_closure_call default handling")
# handle defaults and kw arguments using pysignature if callee is function
if isinstance(callee, pytypes.FunctionType):
pysig = numba.utils.pysignature(callee)
normal_handler = lambda index, param, default: default
default_handler = lambda index, param, default: ir.Const(default, loc)
# Throw error for stararg
# TODO: handle stararg
def stararg_handler(index, param, default):
raise NotImplementedError(
"Stararg not supported in inliner for arg {} {}".format(index, param)
)
if call_expr.op == "call":
kws = dict(call_expr.kws)
else:
kws = {}
return numba.typing.fold_arguments(
pysig, args, kws, normal_handler, default_handler, stararg_handler
)
else:
# TODO: handle arguments for make_function case similar to function
# case above
callee_defaults = (
callee.defaults if hasattr(callee, "defaults") else callee.__defaults__
)
if callee_defaults:
debug_print("defaults = ", callee_defaults)
if isinstance(callee_defaults, tuple): # Python 3.5
defaults_list = []
for x in callee_defaults:
if isinstance(x, ir.Var):
defaults_list.append(x)
else:
# this branch is predominantly for kwargs from
# inlinable functions
defaults_list.append(ir.Const(value=x, loc=loc))
args = args + defaults_list
elif isinstance(callee_defaults, ir.Var) or isinstance(
callee_defaults, str
):
default_tuple = func_ir.get_definition(callee_defaults)
assert isinstance(default_tuple, ir.Expr)
assert default_tuple.op == "build_tuple"
const_vals = [func_ir.get_definition(x) for x in default_tuple.items]
args = args + const_vals
else:
raise NotImplementedError(
"Unsupported defaults to make_function: {}".format(defaults)
)
return args
|
def _get_callee_args(call_expr, callee, loc, func_ir):
"""Get arguments for calling 'callee', including the default arguments.
keyword arguments are currently only handled when 'callee' is a function.
"""
args = list(call_expr.args)
debug_print = _make_debug_print("inline_closure_call default handling")
# handle defaults and kw arguments using pysignature if callee is function
if isinstance(callee, pytypes.FunctionType):
pysig = numba.utils.pysignature(callee)
normal_handler = lambda index, param, default: default
default_handler = lambda index, param, default: ir.Const(default, loc)
# Throw error for stararg
# TODO: handle stararg
def stararg_handler(index, param, default):
raise NotImplementedError(
"Stararg not supported in inliner for arg {} {}".format(index, param)
)
kws = dict(call_expr.kws)
return numba.typing.fold_arguments(
pysig, args, kws, normal_handler, default_handler, stararg_handler
)
else:
# TODO: handle arguments for make_function case similar to function
# case above
callee_defaults = (
callee.defaults if hasattr(callee, "defaults") else callee.__defaults__
)
if callee_defaults:
debug_print("defaults = ", callee_defaults)
if isinstance(callee_defaults, tuple): # Python 3.5
defaults_list = []
for x in callee_defaults:
if isinstance(x, ir.Var):
defaults_list.append(x)
else:
# this branch is predominantly for kwargs from
# inlinable functions
defaults_list.append(ir.Const(value=x, loc=loc))
args = args + defaults_list
elif isinstance(callee_defaults, ir.Var) or isinstance(
callee_defaults, str
):
defaults = func_ir.get_definition(callee_defaults)
assert isinstance(defaults, ir.Const)
loc = defaults.loc
args = args + [ir.Const(value=v, loc=loc) for v in defaults.value]
else:
raise NotImplementedError(
"Unsupported defaults to make_function: {}".format(defaults)
)
return args
|
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 _inline_const_arraycall(block, func_ir, context, typemap, calltypes):
"""Look for array(list) call where list is a constant list created by build_list,
and turn them into direct array creation and initialization, if the following
conditions are met:
1. The build_list call immediate precedes the array call;
2. The list variable is no longer live after array call;
If any condition check fails, no modification will be made.
"""
debug_print = _make_debug_print("inline_const_arraycall")
scope = block.scope
def inline_array(array_var, expr, stmts, list_vars, dels):
"""Check to see if the given "array_var" is created from a list
of constants, and try to inline the list definition as array
initialization.
Extra statements produced with be appended to "stmts".
"""
callname = guard(find_callname, func_ir, expr)
require(callname and callname[1] == "numpy" and callname[0] == "array")
require(expr.args[0].name in list_vars)
ret_type = calltypes[expr].return_type
require(isinstance(ret_type, types.ArrayCompatible) and ret_type.ndim == 1)
loc = expr.loc
list_var = expr.args[0]
# Get the type of the array to be created.
array_typ = typemap[array_var.name]
debug_print("inline array_var = ", array_var, " list_var = ", list_var)
# Get the element type of the array to be created.
dtype = array_typ.dtype
# Get the sequence of operations to provide values to the new array.
seq, _ = find_build_sequence(func_ir, list_var)
size = len(seq)
# Create a tuple to pass to empty below to specify the new array size.
size_var = ir.Var(scope, mk_unique_var("size"), loc)
size_tuple_var = ir.Var(scope, mk_unique_var("size_tuple"), loc)
size_typ = types.intp
size_tuple_typ = types.UniTuple(size_typ, 1)
typemap[size_var.name] = size_typ
typemap[size_tuple_var.name] = size_tuple_typ
stmts.append(_new_definition(func_ir, size_var, ir.Const(size, loc=loc), loc))
stmts.append(
_new_definition(
func_ir,
size_tuple_var,
ir.Expr.build_tuple(items=[size_var], loc=loc),
loc,
)
)
# The general approach is to create an empty array and then fill
# the elements in one-by-one from their specificiation.
# Get the numpy type to pass to empty.
nptype = types.DType(dtype)
# Create a variable to hold the numpy empty function.
empty_func = ir.Var(scope, mk_unique_var("empty_func"), loc)
fnty = get_np_ufunc_typ(np.empty)
sig = context.resolve_function_type(fnty, (size_typ,), {"dtype": nptype})
typemap[empty_func.name] = fnty
stmts.append(
_new_definition(
func_ir, empty_func, ir.Global("empty", np.empty, loc=loc), loc
)
)
# We pass two arguments to empty, first the size tuple and second
# the dtype of the new array. Here, we created typ_var which is
# the dtype argument of the new array. typ_var in turn is created
# by getattr of the dtype string on the numpy module.
# Create var for numpy module.
g_np_var = ir.Var(scope, mk_unique_var("$np_g_var"), loc)
typemap[g_np_var.name] = types.misc.Module(np)
g_np = ir.Global("np", np, loc)
stmts.append(_new_definition(func_ir, g_np_var, g_np, loc))
# Create var for result of numpy.<dtype>.
typ_var = ir.Var(scope, mk_unique_var("$np_typ_var"), loc)
typemap[typ_var.name] = nptype
dtype_str = str(dtype)
if dtype_str == "bool":
dtype_str = "bool_"
# Get dtype attribute of numpy module.
np_typ_getattr = ir.Expr.getattr(g_np_var, dtype_str, loc)
stmts.append(_new_definition(func_ir, typ_var, np_typ_getattr, loc))
# Create the call to numpy.empty passing the size tuple and dtype var.
empty_call = ir.Expr.call(empty_func, [size_var, typ_var], {}, loc=loc)
calltypes[empty_call] = typing.signature(array_typ, size_typ, nptype)
stmts.append(_new_definition(func_ir, array_var, empty_call, loc))
# Fill in the new empty array one-by-one.
for i in range(size):
index_var = ir.Var(scope, mk_unique_var("index"), loc)
index_typ = types.intp
typemap[index_var.name] = index_typ
stmts.append(_new_definition(func_ir, index_var, ir.Const(i, loc), loc))
setitem = ir.SetItem(array_var, index_var, seq[i], loc)
calltypes[setitem] = typing.signature(
types.none, array_typ, index_typ, dtype
)
stmts.append(setitem)
stmts.extend(dels)
return True
class State(object):
"""
This class is used to hold the state in the following loop so as to make
it easy to reset the state of the variables tracking the various
statement kinds
"""
def __init__(self):
# list_vars keep track of the variable created from the latest
# build_list instruction, as well as its synonyms.
self.list_vars = []
# dead_vars keep track of those in list_vars that are considered dead.
self.dead_vars = []
# list_items keep track of the elements used in build_list.
self.list_items = []
self.stmts = []
# dels keep track of the deletion of list_items, which will need to be
# moved after array initialization.
self.dels = []
# tracks if a modification has taken place
self.modified = False
def reset(self):
"""
Resets the internal state of the variables used for tracking
"""
self.list_vars = []
self.dead_vars = []
self.list_items = []
self.dels = []
def list_var_used(self, inst):
"""
Returns True if the list being analysed is used between the
build_list and the array call.
"""
return any([x.name in self.list_vars for x in inst.list_vars()])
state = State()
for inst in block.body:
if isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Var):
if inst.value.name in state.list_vars:
state.list_vars.append(inst.target.name)
state.stmts.append(inst)
continue
elif isinstance(inst.value, ir.Expr):
expr = inst.value
if expr.op == "build_list":
# new build_list encountered, reset state
state.reset()
state.list_items = [x.name for x in expr.items]
state.list_vars = [inst.target.name]
state.stmts.append(inst)
continue
elif expr.op == "call" and expr in calltypes:
arr_var = inst.target
if guard(
inline_array,
inst.target,
expr,
state.stmts,
state.list_vars,
state.dels,
):
state.modified = True
continue
elif isinstance(inst, ir.Del):
removed_var = inst.value
if removed_var in state.list_items:
state.dels.append(inst)
continue
elif removed_var in state.list_vars:
# one of the list_vars is considered dead.
state.dead_vars.append(removed_var)
state.list_vars.remove(removed_var)
state.stmts.append(inst)
if state.list_vars == []:
# if all list_vars are considered dead, we need to filter
# them out from existing stmts to completely remove
# build_list.
# Note that if a translation didn't take place, dead_vars
# will also be empty when we reach this point.
body = []
for inst in state.stmts:
if (
isinstance(inst, ir.Assign)
and inst.target.name in state.dead_vars
) or (
isinstance(inst, ir.Del) and inst.value in state.dead_vars
):
continue
body.append(inst)
state.stmts = body
state.dead_vars = []
state.modified = True
continue
state.stmts.append(inst)
# If the list is used in any capacity between build_list and array
# call, then we must call off the translation for this list because
# it could be mutated and list_items would no longer be applicable.
if state.list_var_used(inst):
state.reset()
return state.stmts if state.modified else None
|
def _inline_const_arraycall(block, func_ir, context, typemap, calltypes):
"""Look for array(list) call where list is a constant list created by build_list,
and turn them into direct array creation and initialization, if the following
conditions are met:
1. The build_list call immediate preceeds the array call;
2. The list variable is no longer live after array call;
If any condition check fails, no modification will be made.
"""
debug_print = _make_debug_print("inline_const_arraycall")
scope = block.scope
def inline_array(array_var, expr, stmts, list_vars, dels):
"""Check to see if the given "array_var" is created from a list
of constants, and try to inline the list definition as array
initialization.
Extra statements produced with be appended to "stmts".
"""
callname = guard(find_callname, func_ir, expr)
require(callname and callname[1] == "numpy" and callname[0] == "array")
require(expr.args[0].name in list_vars)
ret_type = calltypes[expr].return_type
require(isinstance(ret_type, types.ArrayCompatible) and ret_type.ndim == 1)
loc = expr.loc
list_var = expr.args[0]
# Get the type of the array to be created.
array_typ = typemap[array_var.name]
debug_print("inline array_var = ", array_var, " list_var = ", list_var)
# Get the element type of the array to be created.
dtype = array_typ.dtype
# Get the sequence of operations to provide values to the new array.
seq, _ = find_build_sequence(func_ir, list_var)
size = len(seq)
# Create a tuple to pass to empty below to specify the new array size.
size_var = ir.Var(scope, mk_unique_var("size"), loc)
size_tuple_var = ir.Var(scope, mk_unique_var("size_tuple"), loc)
size_typ = types.intp
size_tuple_typ = types.UniTuple(size_typ, 1)
typemap[size_var.name] = size_typ
typemap[size_tuple_var.name] = size_tuple_typ
stmts.append(_new_definition(func_ir, size_var, ir.Const(size, loc=loc), loc))
stmts.append(
_new_definition(
func_ir,
size_tuple_var,
ir.Expr.build_tuple(items=[size_var], loc=loc),
loc,
)
)
# The general approach is to create an empty array and then fill
# the elements in one-by-one from their specificiation.
# Get the numpy type to pass to empty.
nptype = types.DType(dtype)
# Create a variable to hold the numpy empty function.
empty_func = ir.Var(scope, mk_unique_var("empty_func"), loc)
fnty = get_np_ufunc_typ(np.empty)
sig = context.resolve_function_type(fnty, (size_typ,), {"dtype": nptype})
typemap[empty_func.name] = fnty
stmts.append(
_new_definition(
func_ir, empty_func, ir.Global("empty", np.empty, loc=loc), loc
)
)
# We pass two arguments to empty, first the size tuple and second
# the dtype of the new array. Here, we created typ_var which is
# the dtype argument of the new array. typ_var in turn is created
# by getattr of the dtype string on the numpy module.
# Create var for numpy module.
g_np_var = ir.Var(scope, mk_unique_var("$np_g_var"), loc)
typemap[g_np_var.name] = types.misc.Module(np)
g_np = ir.Global("np", np, loc)
stmts.append(_new_definition(func_ir, g_np_var, g_np, loc))
# Create var for result of numpy.<dtype>.
typ_var = ir.Var(scope, mk_unique_var("$np_typ_var"), loc)
typemap[typ_var.name] = nptype
dtype_str = str(dtype)
if dtype_str == "bool":
dtype_str = "bool_"
# Get dtype attribute of numpy module.
np_typ_getattr = ir.Expr.getattr(g_np_var, dtype_str, loc)
stmts.append(_new_definition(func_ir, typ_var, np_typ_getattr, loc))
# Create the call to numpy.empty passing the size tuple and dtype var.
empty_call = ir.Expr.call(empty_func, [size_var, typ_var], {}, loc=loc)
calltypes[empty_call] = typing.signature(array_typ, size_typ, nptype)
stmts.append(_new_definition(func_ir, array_var, empty_call, loc))
# Fill in the new empty array one-by-one.
for i in range(size):
index_var = ir.Var(scope, mk_unique_var("index"), loc)
index_typ = types.intp
typemap[index_var.name] = index_typ
stmts.append(_new_definition(func_ir, index_var, ir.Const(i, loc), loc))
setitem = ir.SetItem(array_var, index_var, seq[i], loc)
calltypes[setitem] = typing.signature(
types.none, array_typ, index_typ, dtype
)
stmts.append(setitem)
stmts.extend(dels)
return True
class State(object):
"""
This class is used to hold the state in the following loop so as to make
it easy to reset the state of the variables tracking the various
statement kinds
"""
def __init__(self):
# list_vars keep track of the variable created from the latest
# build_list instruction, as well as its synonyms.
self.list_vars = []
# dead_vars keep track of those in list_vars that are considered dead.
self.dead_vars = []
# list_items keep track of the elements used in build_list.
self.list_items = []
self.stmts = []
# dels keep track of the deletion of list_items, which will need to be
# moved after array initialization.
self.dels = []
# tracks if a modification has taken place
self.modified = False
def reset(self):
"""
Resets the internal state of the variables used for tracking
"""
self.list_vars = []
self.dead_vars = []
self.list_items = []
self.dels = []
def list_var_used(self, inst):
"""
Returns True if the list being analysed is used between the
build_list and the array call.
"""
return any([x.name in self.list_vars for x in inst.list_vars()])
state = State()
for inst in block.body:
if isinstance(inst, ir.Assign):
if isinstance(inst.value, ir.Var):
if inst.value.name in state.list_vars:
state.list_vars.append(inst.target.name)
state.stmts.append(inst)
continue
elif isinstance(inst.value, ir.Expr):
expr = inst.value
if expr.op == "build_list":
# new build_list encountered, reset state
state.reset()
state.list_items = [x.name for x in expr.items]
state.list_vars = [inst.target.name]
state.stmts.append(inst)
continue
elif expr.op == "call" and expr in calltypes:
arr_var = inst.target
if guard(
inline_array,
inst.target,
expr,
state.stmts,
state.list_vars,
state.dels,
):
state.modified = True
continue
elif isinstance(inst, ir.Del):
removed_var = inst.value
if removed_var in state.list_items:
state.dels.append(inst)
continue
elif removed_var in state.list_vars:
# one of the list_vars is considered dead.
state.dead_vars.append(removed_var)
state.list_vars.remove(removed_var)
state.stmts.append(inst)
if state.list_vars == []:
# if all list_vars are considered dead, we need to filter
# them out from existing stmts to completely remove
# build_list.
# Note that if a translation didn't take place, dead_vars
# will also be empty when we reach this point.
body = []
for inst in state.stmts:
if (
isinstance(inst, ir.Assign)
and inst.target.name in state.dead_vars
) or (
isinstance(inst, ir.Del) and inst.value in state.dead_vars
):
continue
body.append(inst)
state.stmts = body
state.dead_vars = []
state.modified = True
continue
state.stmts.append(inst)
# If the list is used in any capacity between build_list and array
# call, then we must call off the translation for this list because
# it could be mutated and list_items would no longer be applicable.
if state.list_var_used(inst):
state.reset()
return state.stmts if state.modified else 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 __init__(self, func_id):
self.func_id = func_id
self.arg_count = func_id.arg_count
self.arg_names = func_id.arg_names
self.loc = self.first_loc = ir.Loc.from_function_id(func_id)
self.is_generator = func_id.is_generator
# { inst offset : ir.Block }
self.blocks = {}
# { name: [definitions] } of local variables
self.definitions = collections.defaultdict(list)
# A set to keep track of all exception variables.
# To be used in _legalize_exception_vars()
self._exception_vars = set()
|
def __init__(self, func_id):
self.func_id = func_id
self.arg_count = func_id.arg_count
self.arg_names = func_id.arg_names
self.loc = self.first_loc = ir.Loc.from_function_id(func_id)
self.is_generator = func_id.is_generator
# { inst offset : ir.Block }
self.blocks = {}
# { name: [definitions] } of local variables
self.definitions = collections.defaultdict(list)
|
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 interpret(self, bytecode):
"""
Generate IR for this bytecode.
"""
self.bytecode = bytecode
self.scopes = []
global_scope = ir.Scope(parent=None, loc=self.loc)
self.scopes.append(global_scope)
if PYVERSION < (3, 7):
# Control flow analysis
self.cfa = controlflow.ControlFlowAnalysis(bytecode)
self.cfa.run()
if config.DUMP_CFG:
self.cfa.dump()
# Data flow analysis
self.dfa = dataflow.DataFlowAnalysis(self.cfa)
self.dfa.run()
else:
flow = Flow(bytecode)
flow.run()
self.dfa = AdaptDFA(flow)
self.cfa = AdaptCFA(flow)
if config.DUMP_CFG:
self.cfa.dump()
# Temp states during interpretation
self.current_block = None
self.current_block_offset = None
self.syntax_blocks = []
self.dfainfo = None
firstblk = min(self.cfa.blocks.keys())
self.scopes.append(ir.Scope(parent=self.current_scope, loc=self.loc))
# Interpret loop
for inst, kws in self._iter_inst():
self._dispatch(inst, kws)
self._legalize_exception_vars()
# Prepare FunctionIR
fir = ir.FunctionIR(
self.blocks,
self.is_generator,
self.func_id,
self.first_loc,
self.definitions,
self.arg_count,
self.arg_names,
)
_logger.debug(fir.dump_to_string())
return fir
|
def interpret(self, bytecode):
"""
Generate IR for this bytecode.
"""
self.bytecode = bytecode
self.scopes = []
global_scope = ir.Scope(parent=None, loc=self.loc)
self.scopes.append(global_scope)
if PYVERSION < (3, 7):
# Control flow analysis
self.cfa = controlflow.ControlFlowAnalysis(bytecode)
self.cfa.run()
if config.DUMP_CFG:
self.cfa.dump()
# Data flow analysis
self.dfa = dataflow.DataFlowAnalysis(self.cfa)
self.dfa.run()
else:
flow = Flow(bytecode)
flow.run()
self.dfa = AdaptDFA(flow)
self.cfa = AdaptCFA(flow)
if config.DUMP_CFG:
self.cfa.dump()
# Temp states during interpretation
self.current_block = None
self.current_block_offset = None
self.syntax_blocks = []
self.dfainfo = None
firstblk = min(self.cfa.blocks.keys())
self.scopes.append(ir.Scope(parent=self.current_scope, loc=self.loc))
# Interpret loop
for inst, kws in self._iter_inst():
self._dispatch(inst, kws)
fir = ir.FunctionIR(
self.blocks,
self.is_generator,
self.func_id,
self.first_loc,
self.definitions,
self.arg_count,
self.arg_names,
)
_logger.debug(fir.dump_to_string())
return fir
|
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($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def _start_new_block(self, offset):
oldblock = self.current_block
self.insert_block(offset)
# Ensure the last block is terminated
if oldblock is not None and not oldblock.is_terminated:
# Handle ending try block.
tryblk = self.dfainfo.active_try_block
# If there's an active try-block and the handler block is live.
if tryblk is not None and tryblk["end"] in self.cfa.graph.nodes():
# We are in a try-block, insert a branch to except-block.
# This logic cannot be in self._end_current_block()
# because we the non-raising next block-offset.
branch = ir.Branch(
cond=self.get("$exception_check"),
truebr=tryblk["end"],
falsebr=offset,
loc=self.loc,
)
oldblock.append(branch)
# Handle normal case
else:
jmp = ir.Jump(offset, loc=self.loc)
oldblock.append(jmp)
# Get DFA block info
self.dfainfo = self.dfa.infos[self.current_block_offset]
self.assigner = Assigner()
# Check out-of-scope syntactic-block
while self.syntax_blocks:
if offset >= self.syntax_blocks[-1].exit:
self.syntax_blocks.pop()
else:
break
|
def _start_new_block(self, offset):
oldblock = self.current_block
self.insert_block(offset)
# Ensure the last block is terminated
if oldblock is not None and not oldblock.is_terminated:
jmp = ir.Jump(offset, loc=self.loc)
oldblock.append(jmp)
# Get DFA block info
self.dfainfo = self.dfa.infos[self.current_block_offset]
self.assigner = Assigner()
# Check out-of-scope syntactic-block
while self.syntax_blocks:
if offset >= self.syntax_blocks[-1].exit:
self.syntax_blocks.pop()
else:
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 _end_current_block(self):
# Handle try block
if not self.current_block.is_terminated:
tryblk = self.dfainfo.active_try_block
if tryblk is not None:
self._insert_exception_check()
# Handle normal block cleanup
self._remove_unused_temporaries()
self._insert_outgoing_phis()
|
def _end_current_block(self):
self._remove_unused_temporaries()
self._insert_outgoing_phis()
|
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 store(self, value, name, redefine=False):
"""
Store *value* (a Expr or Var instance) into the variable named *name*
(a str object). Returns the target variable.
"""
if redefine or self.current_block_offset in self.cfa.backbone:
rename = not (name in self.code_cellvars)
target = self.current_scope.redefine(name, loc=self.loc, rename=rename)
else:
target = self.current_scope.get_or_define(name, loc=self.loc)
if isinstance(value, ir.Var):
value = self.assigner.assign(value, target)
stmt = ir.Assign(value=value, target=target, loc=self.loc)
self.current_block.append(stmt)
self.definitions[target.name].append(value)
return target
|
def store(self, value, name, redefine=False):
"""
Store *value* (a Expr or Var instance) into the variable named *name*
(a str object).
"""
if redefine or self.current_block_offset in self.cfa.backbone:
rename = not (name in self.code_cellvars)
target = self.current_scope.redefine(name, loc=self.loc, rename=rename)
else:
target = self.current_scope.get_or_define(name, loc=self.loc)
if isinstance(value, ir.Var):
value = self.assigner.assign(value, target)
stmt = ir.Assign(value=value, target=target, loc=self.loc)
self.current_block.append(stmt)
self.definitions[target.name].append(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
|
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