after_merge
stringlengths 28
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stringlengths 20
79.6k
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stringlengths 38
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stringlengths 43
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stringclasses 555
values |
|---|---|---|---|---|
def generic(self, args, kws):
"""
Type the overloaded function by compiling the appropriate
implementation for the given args.
"""
disp, new_args = self._get_impl(args, kws)
if disp is None:
return
# Compile and type it for the given types
disp_type = types.Dispatcher(disp)
# Store the compiled overload for use in the lowering phase if there's
# no inlining required (else functions are being compiled which will
# never be used as they are inlined)
if not self._inline.is_never_inline:
# need to run the compiler front end up to type inference to compute
# a signature
from numba import compiler, typed_passes
ir = compiler.run_frontend(disp_type.dispatcher.py_func)
resolve = disp_type.dispatcher.get_call_template
template, pysig, folded_args, kws = resolve(new_args, kws)
typemap, return_type, calltypes = typed_passes.type_inference_stage(
self.context, ir, folded_args, None
)
sig = Signature(return_type, folded_args, None)
# this stores a load of info for the cost model function if supplied
# it by default is None
self._inline_overloads[sig.args] = {"folded_args": folded_args}
# this stores the compiled overloads, if there's no compiled
# overload available i.e. function is always inlined, the key still
# needs to exist for type resolution
# NOTE: If lowering is failing on a `_EmptyImplementationEntry`,
# the inliner has failed to inline this entry corretly.
impl_init = _EmptyImplementationEntry("always inlined")
self._compiled_overloads[sig.args] = impl_init
if not self._inline.is_always_inline:
# this branch is here because a user has supplied a function to
# determine whether to inline or not. As a result both compiled
# function and inliner info needed, delaying the computation of
# this leads to an internal state mess at present. TODO: Fix!
sig = disp_type.get_call_type(self.context, new_args, kws)
self._compiled_overloads[sig.args] = disp_type.get_overload(sig)
# store the inliner information, it's used later in the cost
# model function call
iinfo = _inline_info(ir, typemap, calltypes, sig)
self._inline_overloads[sig.args] = {
"folded_args": folded_args,
"iinfo": iinfo,
}
else:
sig = disp_type.get_call_type(self.context, new_args, kws)
self._compiled_overloads[sig.args] = disp_type.get_overload(sig)
return sig
|
def generic(self, args, kws):
"""
Type the overloaded function by compiling the appropriate
implementation for the given args.
"""
disp, new_args = self._get_impl(args, kws)
if disp is None:
return
# Compile and type it for the given types
disp_type = types.Dispatcher(disp)
# Store the compiled overload for use in the lowering phase if there's
# no inlining required (else functions are being compiled which will
# never be used as they are inlined)
if not self._inline.is_never_inline:
# need to run the compiler front end up to type inference to compute
# a signature
from numba import compiler, typed_passes
ir = compiler.run_frontend(disp_type.dispatcher.py_func)
resolve = disp_type.dispatcher.get_call_template
template, pysig, folded_args, kws = resolve(new_args, kws)
typemap, return_type, calltypes = typed_passes.type_inference_stage(
self.context, ir, folded_args, None
)
sig = Signature(return_type, folded_args, None)
# this stores a load of info for the cost model function if supplied
# it by default is None
self._inline_overloads[sig.args] = {"folded_args": folded_args}
# this stores the compiled overloads, if there's no compiled
# overload available i.e. function is always inlined, the key still
# needs to exist for type resolution
self._compiled_overloads[sig.args] = None
if not self._inline.is_always_inline:
# this branch is here because a user has supplied a function to
# determine whether to inline or not. As a result both compiled
# function and inliner info needed, delaying the computation of
# this leads to an internal state mess at present. TODO: Fix!
sig = disp_type.get_call_type(self.context, new_args, kws)
self._compiled_overloads[sig.args] = disp_type.get_overload(sig)
# store the inliner information, it's used later in the cost
# model function call
iinfo = _inline_info(ir, typemap, calltypes, sig)
self._inline_overloads[sig.args] = {
"folded_args": folded_args,
"iinfo": iinfo,
}
else:
sig = disp_type.get_call_type(self.context, new_args, kws)
self._compiled_overloads[sig.args] = disp_type.get_overload(sig)
return sig
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def do_class_init(cls):
"""
Register attribute implementation.
"""
from numba.targets.imputils import lower_getattr
attr = cls._attr
@lower_getattr(cls.key, attr)
def getattr_impl(context, builder, typ, value):
typingctx = context.typing_context
fnty = cls._get_function_type(typingctx, typ)
sig = cls._get_signature(typingctx, fnty, (typ,), {})
call = context.get_function(fnty, sig)
return call(builder, (value,))
|
def do_class_init(cls):
"""
Register attribute implementation.
"""
from numba.targets.imputils import lower_getattr
attr = cls._attr
@lower_getattr(cls.key, attr)
def getattr_impl(context, builder, typ, value):
sig_args = (typ,)
sig_kws = {}
typing_context = context.typing_context
disp, sig_args = cls._get_dispatcher(
typing_context, typ, attr, sig_args, sig_kws
)
disp_type = types.Dispatcher(disp)
sig = disp_type.get_call_type(typing_context, sig_args, sig_kws)
call = context.get_function(disp_type, sig)
return call(builder, (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 getattr_impl(context, builder, typ, value):
typingctx = context.typing_context
fnty = cls._get_function_type(typingctx, typ)
sig = cls._get_signature(typingctx, fnty, (typ,), {})
call = context.get_function(fnty, sig)
return call(builder, (value,))
|
def getattr_impl(context, builder, typ, value):
sig_args = (typ,)
sig_kws = {}
typing_context = context.typing_context
disp, sig_args = cls._get_dispatcher(typing_context, typ, attr, sig_args, sig_kws)
disp_type = types.Dispatcher(disp)
sig = disp_type.get_call_type(typing_context, sig_args, sig_kws)
call = context.get_function(disp_type, sig)
return call(builder, (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 _resolve(self, typ, attr):
if self._attr != attr:
return None
fnty = self._get_function_type(self.context, typ)
sig = self._get_signature(self.context, fnty, (typ,), {})
# There should only be one template
for template in fnty.templates:
self._inline_overloads.update(template._inline_overloads)
return sig.return_type
|
def _resolve(self, typ, attr):
if self._attr != attr:
return None
sig = self._resolve_impl_sig(typ, attr, (typ,), {})
return sig.return_type
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def do_class_init(cls):
"""
Register generic method implementation.
"""
from numba.targets.imputils import lower_builtin
attr = cls._attr
@lower_builtin((cls.key, attr), cls.key, types.VarArg(types.Any))
def method_impl(context, builder, sig, args):
typ = sig.args[0]
typing_context = context.typing_context
fnty = cls._get_function_type(typing_context, typ)
sig = cls._get_signature(typing_context, fnty, sig.args, {})
call = context.get_function(fnty, sig)
# Link dependent library
context.add_linking_libs(getattr(call, "libs", ()))
return call(builder, args)
|
def do_class_init(cls):
"""
Register generic method implementation.
"""
from numba.targets.imputils import lower_builtin
attr = cls._attr
@lower_builtin((cls.key, attr), cls.key, types.VarArg(types.Any))
def method_impl(context, builder, sig, args):
typ = sig.args[0]
typing_context = context.typing_context
disp, sig_args = cls._get_dispatcher(typing_context, typ, attr, sig.args, {})
disp_type = types.Dispatcher(disp)
sig = disp_type.get_call_type(typing_context, sig.args, {})
call = context.get_function(disp_type, sig)
# Link dependent library
context.add_linking_libs(getattr(call, "libs", ()))
return call(builder, 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 method_impl(context, builder, sig, args):
typ = sig.args[0]
typing_context = context.typing_context
fnty = cls._get_function_type(typing_context, typ)
sig = cls._get_signature(typing_context, fnty, sig.args, {})
call = context.get_function(fnty, sig)
# Link dependent library
context.add_linking_libs(getattr(call, "libs", ()))
return call(builder, args)
|
def method_impl(context, builder, sig, args):
typ = sig.args[0]
typing_context = context.typing_context
disp, sig_args = cls._get_dispatcher(typing_context, typ, attr, sig.args, {})
disp_type = types.Dispatcher(disp)
sig = disp_type.get_call_type(typing_context, sig.args, {})
call = context.get_function(disp_type, sig)
# Link dependent library
context.add_linking_libs(getattr(call, "libs", ()))
return call(builder, 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 _resolve(self, typ, attr):
if self._attr != attr:
return None
assert isinstance(typ, self.key)
class MethodTemplate(AbstractTemplate):
key = (self.key, attr)
_inline = self._inline
_overload_func = staticmethod(self._overload_func)
_inline_overloads = self._inline_overloads
def generic(_, args, kws):
args = (typ,) + tuple(args)
fnty = self._get_function_type(self.context, typ)
sig = self._get_signature(self.context, fnty, args, kws)
sig = sig.replace(pysig=utils.pysignature(self._overload_func))
for template in fnty.templates:
self._inline_overloads.update(template._inline_overloads)
if sig is not None:
return sig.as_method()
return types.BoundFunction(MethodTemplate, typ)
|
def _resolve(self, typ, attr):
if self._attr != attr:
return None
assert isinstance(typ, self.key)
class MethodTemplate(AbstractTemplate):
key = (self.key, attr)
def generic(_, args, kws):
args = (typ,) + tuple(args)
sig = self._resolve_impl_sig(typ, attr, args, kws)
if sig is not None:
return sig.as_method()
return types.BoundFunction(MethodTemplate, 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 generic(_, args, kws):
args = (typ,) + tuple(args)
fnty = self._get_function_type(self.context, typ)
sig = self._get_signature(self.context, fnty, args, kws)
sig = sig.replace(pysig=utils.pysignature(self._overload_func))
for template in fnty.templates:
self._inline_overloads.update(template._inline_overloads)
if sig is not None:
return sig.as_method()
|
def generic(_, args, kws):
args = (typ,) + tuple(args)
sig = self._resolve_impl_sig(typ, attr, args, kws)
if sig is not None:
return sig.as_method()
|
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_overload_attribute_template(
typ, attr, overload_func, inline, base=_OverloadAttributeTemplate
):
"""
Make a template class for attribute *attr* of *typ* overloaded by
*overload_func*.
"""
assert isinstance(typ, types.Type) or issubclass(typ, types.Type)
name = "OverloadTemplate_%s_%s" % (typ, attr)
# Note the implementation cache is subclass-specific
dct = dict(
key=typ,
_attr=attr,
_impl_cache={},
_inline=staticmethod(InlineOptions(inline)),
_inline_overloads={},
_overload_func=staticmethod(overload_func),
)
return type(base)(name, (base,), dct)
|
def make_overload_attribute_template(
typ, attr, overload_func, base=_OverloadAttributeTemplate
):
"""
Make a template class for attribute *attr* of *typ* overloaded by
*overload_func*.
"""
assert isinstance(typ, types.Type) or issubclass(typ, types.Type)
name = "OverloadTemplate_%s_%s" % (typ, attr)
# Note the implementation cache is subclass-specific
dct = dict(
key=typ,
_attr=attr,
_impl_cache={},
_overload_func=staticmethod(overload_func),
)
return type(base)(name, (base,), dct)
|
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_overload_method_template(typ, attr, overload_func, inline):
"""
Make a template class for method *attr* of *typ* overloaded by
*overload_func*.
"""
return make_overload_attribute_template(
typ,
attr,
overload_func,
inline=inline,
base=_OverloadMethodTemplate,
)
|
def make_overload_method_template(typ, attr, overload_func):
"""
Make a template class for method *attr* of *typ* overloaded by
*overload_func*.
"""
return make_overload_attribute_template(
typ, attr, overload_func, base=_OverloadMethodTemplate
)
|
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_eq(a, b):
accept = (types.UnicodeType, types.StringLiteral, types.UnicodeCharSeq)
a_unicode = isinstance(a, accept)
b_unicode = isinstance(b, accept)
if a_unicode and b_unicode:
def eq_impl(a, b):
if len(a) != len(b):
return False
return _cmp_region(a, 0, b, 0, len(a)) == 0
return eq_impl
elif a_unicode ^ b_unicode:
# one of the things is unicode, everything compares False
def eq_impl(a, b):
return False
return eq_impl
|
def unicode_eq(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def eq_impl(a, b):
if len(a) != len(b):
return False
return _cmp_region(a, 0, b, 0, len(a)) == 0
return eq_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 eq_impl(a, b):
return False
|
def eq_impl(a, b):
if len(a) != len(b):
return False
return _cmp_region(a, 0, b, 0, len(a)) == 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 unicode_ne(a, b):
accept = (types.UnicodeType, types.StringLiteral, types.UnicodeCharSeq)
a_unicode = isinstance(a, accept)
b_unicode = isinstance(b, accept)
if a_unicode and b_unicode:
def ne_impl(a, b):
return not (a == b)
return ne_impl
elif a_unicode ^ b_unicode:
# one of the things is unicode, everything compares True
def eq_impl(a, b):
return True
return eq_impl
|
def unicode_ne(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def ne_impl(a, b):
return not (a == b)
return ne_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 unicode_lt(a, b):
a_unicode = isinstance(a, (types.UnicodeType, types.StringLiteral))
b_unicode = isinstance(b, (types.UnicodeType, types.StringLiteral))
if a_unicode and b_unicode:
def lt_impl(a, b):
minlen = min(len(a), len(b))
eqcode = _cmp_region(a, 0, b, 0, minlen)
if eqcode == -1:
return True
elif eqcode == 0:
return len(a) < len(b)
return False
return lt_impl
|
def unicode_lt(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def lt_impl(a, b):
minlen = min(len(a), len(b))
eqcode = _cmp_region(a, 0, b, 0, minlen)
if eqcode == -1:
return True
elif eqcode == 0:
return len(a) < len(b)
return False
return lt_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 unicode_gt(a, b):
a_unicode = isinstance(a, (types.UnicodeType, types.StringLiteral))
b_unicode = isinstance(b, (types.UnicodeType, types.StringLiteral))
if a_unicode and b_unicode:
def gt_impl(a, b):
minlen = min(len(a), len(b))
eqcode = _cmp_region(a, 0, b, 0, minlen)
if eqcode == 1:
return True
elif eqcode == 0:
return len(a) > len(b)
return False
return gt_impl
|
def unicode_gt(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def gt_impl(a, b):
minlen = min(len(a), len(b))
eqcode = _cmp_region(a, 0, b, 0, minlen)
if eqcode == 1:
return True
elif eqcode == 0:
return len(a) > len(b)
return False
return gt_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 unicode_le(a, b):
a_unicode = isinstance(a, (types.UnicodeType, types.StringLiteral))
b_unicode = isinstance(b, (types.UnicodeType, types.StringLiteral))
if a_unicode and b_unicode:
def le_impl(a, b):
return not (a > b)
return le_impl
|
def unicode_le(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def le_impl(a, b):
return not (a > b)
return le_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 unicode_ge(a, b):
a_unicode = isinstance(a, (types.UnicodeType, types.StringLiteral))
b_unicode = isinstance(b, (types.UnicodeType, types.StringLiteral))
if a_unicode and b_unicode:
def ge_impl(a, b):
return not (a < b)
return ge_impl
|
def unicode_ge(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def ge_impl(a, b):
return not (a < b)
return ge_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 unicode_find(data, substr, start=None, end=None):
"""Implements str.find()"""
if isinstance(substr, types.UnicodeCharSeq):
def find_impl(data, substr, start=None, end=None):
return data.find(str(substr))
return find_impl
unicode_idx_check_type(start, "start")
unicode_idx_check_type(end, "end")
unicode_sub_check_type(substr, "substr")
return _find
|
def unicode_find(data, substr, start=None, end=None):
"""Implements str.find()"""
if isinstance(substr, types.UnicodeCharSeq):
def find_impl(data, substr):
return data.find(str(substr))
return find_impl
unicode_idx_check_type(start, "start")
unicode_idx_check_type(end, "end")
unicode_sub_check_type(substr, "substr")
return _find
|
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_impl(data, substr, start=None, end=None):
return data.find(str(substr))
|
def find_impl(data, substr):
return data.find(str(substr))
|
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_rfind(data, substr, start=None, end=None):
"""Implements str.rfind()"""
if isinstance(substr, types.UnicodeCharSeq):
def rfind_impl(data, substr, start=None, end=None):
return data.rfind(str(substr))
return rfind_impl
unicode_idx_check_type(start, "start")
unicode_idx_check_type(end, "end")
unicode_sub_check_type(substr, "substr")
return _rfind
|
def unicode_rfind(data, substr, start=None, end=None):
"""Implements str.rfind()"""
if isinstance(substr, types.UnicodeCharSeq):
def rfind_impl(data, substr):
return data.rfind(str(substr))
return rfind_impl
unicode_idx_check_type(start, "start")
unicode_idx_check_type(end, "end")
unicode_sub_check_type(substr, "substr")
return _rfind
|
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 rfind_impl(data, substr, start=None, end=None):
return data.rfind(str(substr))
|
def rfind_impl(data, substr):
return data.rfind(str(substr))
|
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_count(src, sub, start=None, end=None):
_count_args_types_check(start)
_count_args_types_check(end)
if isinstance(sub, types.UnicodeType):
def count_impl(src, sub, start=None, end=None):
count = 0
src_len = len(src)
sub_len = len(sub)
start = _normalize_slice_idx_count(start, src_len, 0)
end = _normalize_slice_idx_count(end, src_len, src_len)
if end - start < 0 or start > src_len:
return 0
src = src[start:end]
src_len = len(src)
start, end = 0, src_len
if sub_len == 0:
return src_len + 1
while start + sub_len <= src_len:
if src[start : start + sub_len] == sub:
count += 1
start += sub_len
else:
start += 1
return count
return count_impl
error_msg = "The substring must be a UnicodeType, not {}"
raise TypingError(error_msg.format(type(sub)))
|
def unicode_count(src, sub, start=None, end=None):
_count_args_types_check(start)
_count_args_types_check(end)
if isinstance(sub, types.UnicodeType):
def count_impl(src, sub, start=start, end=end):
count = 0
src_len = len(src)
sub_len = len(sub)
start = _normalize_slice_idx_count(start, src_len, 0)
end = _normalize_slice_idx_count(end, src_len, src_len)
if end - start < 0 or start > src_len:
return 0
src = src[start:end]
src_len = len(src)
start, end = 0, src_len
if sub_len == 0:
return src_len + 1
while start + sub_len <= src_len:
if src[start : start + sub_len] == sub:
count += 1
start += sub_len
else:
start += 1
return count
return count_impl
error_msg = "The substring must be a UnicodeType, not {}"
raise TypingError(error_msg.format(type(sub)))
|
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 count_impl(src, sub, start=None, end=None):
count = 0
src_len = len(src)
sub_len = len(sub)
start = _normalize_slice_idx_count(start, src_len, 0)
end = _normalize_slice_idx_count(end, src_len, src_len)
if end - start < 0 or start > src_len:
return 0
src = src[start:end]
src_len = len(src)
start, end = 0, src_len
if sub_len == 0:
return src_len + 1
while start + sub_len <= src_len:
if src[start : start + sub_len] == sub:
count += 1
start += sub_len
else:
start += 1
return count
|
def count_impl(src, sub, start=start, end=end):
count = 0
src_len = len(src)
sub_len = len(sub)
start = _normalize_slice_idx_count(start, src_len, 0)
end = _normalize_slice_idx_count(end, src_len, src_len)
if end - start < 0 or start > src_len:
return 0
src = src[start:end]
src_len = len(src)
start, end = 0, src_len
if sub_len == 0:
return src_len + 1
while start + sub_len <= src_len:
if src[start : start + sub_len] == sub:
count += 1
start += sub_len
else:
start += 1
return count
|
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_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None # fail typing if maxsplit is not an integer
if isinstance(sep, types.UnicodeCharSeq):
def split_impl(a, sep=None, maxsplit=-1):
return a.split(str(sep), maxsplit=maxsplit)
return split_impl
if isinstance(sep, types.UnicodeType):
def split_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
return split_impl
elif (
sep is None
or isinstance(sep, types.NoneType)
or getattr(sep, "value", False) is None
):
def split_whitespace_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
parts = []
last = 0
idx = 0
split_count = 0
in_whitespace_block = True
for idx in range(a_len):
code_point = _get_code_point(a, idx)
is_whitespace = _PyUnicode_IsSpace(code_point)
if in_whitespace_block:
if is_whitespace:
pass # keep consuming space
else:
last = idx # this is the start of the next string
in_whitespace_block = False
else:
if not is_whitespace:
pass # keep searching for whitespace transition
else:
parts.append(a[last:idx])
in_whitespace_block = True
split_count += 1
if maxsplit != -1 and split_count == maxsplit:
break
if last <= a_len and not in_whitespace_block:
parts.append(a[last:])
return parts
return split_whitespace_impl
|
def unicode_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None # fail typing if maxsplit is not an integer
if isinstance(sep, types.UnicodeCharSeq):
def split_impl(a, sep, maxsplit=1):
return a.split(str(sep), maxsplit=maxsplit)
return split_impl
if isinstance(sep, types.UnicodeType):
def split_impl(a, sep, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
return split_impl
elif (
sep is None
or isinstance(sep, types.NoneType)
or getattr(sep, "value", False) is None
):
def split_whitespace_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
parts = []
last = 0
idx = 0
split_count = 0
in_whitespace_block = True
for idx in range(a_len):
code_point = _get_code_point(a, idx)
is_whitespace = _PyUnicode_IsSpace(code_point)
if in_whitespace_block:
if is_whitespace:
pass # keep consuming space
else:
last = idx # this is the start of the next string
in_whitespace_block = False
else:
if not is_whitespace:
pass # keep searching for whitespace transition
else:
parts.append(a[last:idx])
in_whitespace_block = True
split_count += 1
if maxsplit != -1 and split_count == maxsplit:
break
if last <= a_len and not in_whitespace_block:
parts.append(a[last:])
return parts
return split_whitespace_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 split_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
|
def split_impl(a, sep, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
|
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_center(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def center_impl(string, width, fillchar=" "):
return string.center(width, str(fillchar))
return center_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def center_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
allmargin = width - str_len
lmargin = (allmargin // 2) + (allmargin & width & 1)
rmargin = allmargin - lmargin
l_string = fillchar * lmargin
if lmargin == rmargin:
return l_string + string + l_string
else:
return l_string + string + (fillchar * rmargin)
return center_impl
|
def unicode_center(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def center_impl(string, width, fillchar):
return string.center(width, str(fillchar))
return center_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def center_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
allmargin = width - str_len
lmargin = (allmargin // 2) + (allmargin & width & 1)
rmargin = allmargin - lmargin
l_string = fillchar * lmargin
if lmargin == rmargin:
return l_string + string + l_string
else:
return l_string + string + (fillchar * rmargin)
return center_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 center_impl(string, width, fillchar=" "):
return string.center(width, str(fillchar))
|
def center_impl(string, width, fillchar):
return string.center(width, str(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_ljust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def ljust_impl(string, width, fillchar=" "):
return string.ljust(width, str(fillchar))
return ljust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def ljust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = string + (fillchar * (width - str_len))
return newstr
return ljust_impl
|
def unicode_ljust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def ljust_impl(string, width, fillchar):
return string.ljust(width, str(fillchar))
return ljust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def ljust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = string + (fillchar * (width - str_len))
return newstr
return ljust_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 ljust_impl(string, width, fillchar=" "):
return string.ljust(width, str(fillchar))
|
def ljust_impl(string, width, fillchar):
return string.ljust(width, str(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_rjust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def rjust_impl(string, width, fillchar=" "):
return string.rjust(width, str(fillchar))
return rjust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def rjust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = (fillchar * (width - str_len)) + string
return newstr
return rjust_impl
|
def unicode_rjust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def rjust_impl(string, width, fillchar):
return string.rjust(width, str(fillchar))
return rjust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def rjust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = (fillchar * (width - str_len)) + string
return newstr
return rjust_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 rjust_impl(string, width, fillchar=" "):
return string.rjust(width, str(fillchar))
|
def rjust_impl(string, width, fillchar):
return string.rjust(width, str(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_lstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def lstrip_impl(string, chars=None):
return string.lstrip(str(chars))
return lstrip_impl
unicode_strip_types_check(chars)
def lstrip_impl(string, chars=None):
return string[unicode_strip_left_bound(string, chars) :]
return lstrip_impl
|
def unicode_lstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def lstrip_impl(string, chars):
return string.lstrip(str(chars))
return lstrip_impl
unicode_strip_types_check(chars)
def lstrip_impl(string, chars=None):
return string[unicode_strip_left_bound(string, chars) :]
return lstrip_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 lstrip_impl(string, chars=None):
return string.lstrip(str(chars))
|
def lstrip_impl(string, chars):
return string.lstrip(str(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_rstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def rstrip_impl(string, chars=None):
return string.rstrip(str(chars))
return rstrip_impl
unicode_strip_types_check(chars)
def rstrip_impl(string, chars=None):
return string[: unicode_strip_right_bound(string, chars)]
return rstrip_impl
|
def unicode_rstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def rstrip_impl(string, chars):
return string.rstrip(str(chars))
return rstrip_impl
unicode_strip_types_check(chars)
def rstrip_impl(string, chars=None):
return string[: unicode_strip_right_bound(string, chars)]
return rstrip_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 rstrip_impl(string, chars=None):
return string.rstrip(str(chars))
|
def rstrip_impl(string, chars):
return string.rstrip(str(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_strip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def strip_impl(string, chars=None):
return string.strip(str(chars))
return strip_impl
unicode_strip_types_check(chars)
def strip_impl(string, chars=None):
lb = unicode_strip_left_bound(string, chars)
rb = unicode_strip_right_bound(string, chars)
return string[lb:rb]
return strip_impl
|
def unicode_strip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def strip_impl(string, chars):
return string.strip(str(chars))
return strip_impl
unicode_strip_types_check(chars)
def strip_impl(string, chars=None):
lb = unicode_strip_left_bound(string, chars)
rb = unicode_strip_right_bound(string, chars)
return string[lb:rb]
return strip_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 strip_impl(string, chars=None):
return string.strip(str(chars))
|
def strip_impl(string, chars):
return string.strip(str(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 _PyUnicode_IsNumeric(ch):
ctype = _PyUnicode_gettyperecord(ch)
return ctype.flags & _PyUnicode_TyperecordMasks.NUMERIC_MASK != 0
|
def _PyUnicode_IsNumeric(ch):
raise NotImplementedError
|
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 _PyUnicode_IsPrintable(ch):
ctype = _PyUnicode_gettyperecord(ch)
return ctype.flags & _PyUnicode_TyperecordMasks.PRINTABLE_MASK != 0
|
def _PyUnicode_IsPrintable(ch):
raise NotImplementedError
|
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 _PyUnicode_IsAlpha(ch):
ctype = _PyUnicode_gettyperecord(ch)
return ctype.flags & _PyUnicode_TyperecordMasks.ALPHA_MASK != 0
|
def _PyUnicode_IsAlpha(ch):
raise NotImplementedError
|
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, signature, args):
[src] = args
return builder.ctlz(src, ir.Constant(ir.IntType(1), 0))
|
def codegen(cgctx, builder, typ, args):
flt = args[0]
return builder.bitcast(flt, bitcastty)
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def run_pass(self, state):
"""
This prunes dead branches, a dead branch is one which is derivable as
not taken at compile time purely based on const/literal evaluation.
"""
assert state.func_ir
msg = (
"Internal error in pre-inference dead branch pruning "
"pass encountered during compilation of "
'function "%s"' % (state.func_id.func_name,)
)
with fallback_context(state, msg):
rewrite_semantic_constants(state.func_ir, state.args)
return True
|
def run_pass(self, state):
"""
This prunes dead branches, a dead branch is one which is derivable as
not taken at compile time purely based on const/literal evaluation.
"""
assert state.func_ir
msg = (
"Internal error in pre-inference dead branch pruning "
"pass encountered during compilation of "
'function "%s"' % (state.func_id.func_name,)
)
with fallback_context(state, msg):
rewrite_semantic_constants(state.func_ir, state.args)
if config.DEBUG or config.DUMP_IR:
print("branch_pruned_ir".center(80, "-"))
print(state.func_ir.dump())
print("end branch_pruned_ir".center(80, "-"))
return True
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def run_pass(self, state):
"""
This prunes dead branches, a dead branch is one which is derivable as
not taken at compile time purely based on const/literal evaluation.
"""
# purely for demonstration purposes, obtain the analysis from a pass
# declare as a required dependent
semantic_const_analysis = self.get_analysis(type(self)) # noqa
assert state.func_ir
msg = (
"Internal error in pre-inference dead branch pruning "
"pass encountered during compilation of "
'function "%s"' % (state.func_id.func_name,)
)
with fallback_context(state, msg):
dead_branch_prune(state.func_ir, state.args)
return True
|
def run_pass(self, state):
"""
This prunes dead branches, a dead branch is one which is derivable as
not taken at compile time purely based on const/literal evaluation.
"""
# purely for demonstration purposes, obtain the analysis from a pass
# declare as a required dependent
semantic_const_analysis = self.get_analysis(type(self)) # noqa
assert state.func_ir
msg = (
"Internal error in pre-inference dead branch pruning "
"pass encountered during compilation of "
'function "%s"' % (state.func_id.func_name,)
)
with fallback_context(state, msg):
dead_branch_prune(state.func_ir, state.args)
if config.DEBUG or config.DUMP_IR:
print("branch_pruned_ir".center(80, "-"))
print(state.func_ir.dump())
print("end branch_pruned_ir".center(80, "-"))
return True
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def run_pass(self, state):
"""Run inlining of inlinables"""
if self._DEBUG:
print("before inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
modified = False
# use a work list, look for call sites via `ir.Expr.op == call` and
# then pass these to `self._do_work` to make decisions about inlining.
work_list = list(state.func_ir.blocks.items())
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
expr = instr.value
if isinstance(expr, ir.Expr) and expr.op == "call":
if guard(self._do_work, state, work_list, block, i, expr):
modified = True
break # because block structure changed
if modified:
# clean up unconditional branches that appear due to inlined
# functions introducing blocks
state.func_ir.blocks = simplify_CFG(state.func_ir.blocks)
if self._DEBUG:
print("after inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
return True
|
def run_pass(self, state):
"""Run inlining of inlinables"""
if config.DEBUG or self._DEBUG:
print("before inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
modified = False
# use a work list, look for call sites via `ir.Expr.op == call` and
# then pass these to `self._do_work` to make decisions about inlining.
work_list = list(state.func_ir.blocks.items())
while work_list:
label, block = work_list.pop()
for i, instr in enumerate(block.body):
if isinstance(instr, ir.Assign):
expr = instr.value
if isinstance(expr, ir.Expr) and expr.op == "call":
if guard(self._do_work, state, work_list, block, i, expr):
modified = True
break # because block structure changed
if modified:
# clean up unconditional branches that appear due to inlined
# functions introducing blocks
state.func_ir.blocks = simplify_CFG(state.func_ir.blocks)
if config.DEBUG or self._DEBUG:
print("after inline".center(80, "-"))
print(state.func_ir.dump())
print("".center(80, "-"))
return True
|
https://github.com/numba/numba/issues/4944
|
Traceback (most recent call last):
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 619, in __init__
typ = typ.elements[i]
IndexError: tuple index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 717, in new_error_context
yield
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 303, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 467, in lower_assign
return self.lower_expr(ty, value)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 932, in lower_expr
res = self.lower_call(resty, expr)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 724, in lower_call
res = self._lower_call_normal(fnty, expr, signature)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 903, in _lower_call_normal
res = impl(self.builder, argvals, self.loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/typing/templates.py", line 778, in method_impl
return call(builder, args)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/ibutygin/src/numba/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/targets/imputils.py", line 193, in imp
builder, func, fndesc.restype, fndesc.argtypes, args)
File "/home/ibutygin/src/numba/numba/numba/targets/callconv.py", line 477, in call_function
args = list(arginfo.as_arguments(builder, args))
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in as_arguments
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/packer.py", line 100, in <listcomp>
for dm, val in zip(self._dm_args, values)
File "/home/ibutygin/src/numba/numba/numba/datamodel/models.py", line 447, in as_argument
v = builder.extract_value(value, [i])
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/builder.py", line 927, in extract_value
instr = instructions.ExtractValue(self.block, agg, idx, name=name)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/site-packages/llvmlite/ir/instructions.py", line 622, in __init__
% (list(indices), agg.type))
TypeError: Can't index at [0] in {}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 73, in <module>
print(bar(Dummy()))
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 420, in _compile_for_args
raise e
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 353, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 768, in compile
cres = self._compiler.compile(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 77, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 91, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/ibutygin/src/numba/numba/numba/dispatcher.py", line 109, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 543, in compile_extra
return pipeline.compile_extra(func)
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 328, in compile_extra
return self._compile_bytecode()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 389, in _compile_bytecode
return self._compile_core()
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 368, in _compile_core
raise e
File "/home/ibutygin/src/numba/numba/numba/compiler.py", line 359, in _compile_core
pm.run(self.state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 331, in run
raise patched_exception
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 322, in run
self._runPass(idx, pass_inst, state)
File "/home/ibutygin/src/numba/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 281, in _runPass
mutated |= check(pss.run_pass, internal_state)
File "/home/ibutygin/src/numba/numba/numba/compiler_machinery.py", line 268, in check
mangled = func(compiler_state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 391, in run_pass
NativeLowering().run_pass(state)
File "/home/ibutygin/src/numba/numba/numba/typed_passes.py", line 333, in run_pass
lower.lower()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 179, in lower
self.lower_normal_function(self.fndesc)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 220, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 245, in lower_function_body
self.lower_block(block)
File "/home/ibutygin/src/numba/numba/numba/lowering.py", line 260, in lower_block
self.lower_inst(inst)
File "/home/ibutygin/miniconda3/envs/NUMBA_CUSTOM/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/ibutygin/src/numba/numba/numba/errors.py", line 725, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/ibutygin/src/numba/numba/numba/six.py", line 669, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Can't index at [0] in {}
File "test.py", line 71:
def bar(obj):
return obj.inline_method(123,456)
^
[1] During: lowering "$10call_method.4 = call $4load_method.1($const6.2, $const8.3, func=$4load_method.1, args=[Var($const6.2, test.py:71), Var($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def run_pass(self, state):
from numba import njit
func_ir = state.func_ir
mutated = False
for idx, blk in func_ir.blocks.items():
for stmt in blk.body:
if isinstance(stmt, ir.Assign):
if isinstance(stmt.value, ir.Expr):
if stmt.value.op == "make_function":
node = stmt.value
getdef = func_ir.get_definition
kw_default = getdef(node.defaults)
ok = False
if kw_default is None or isinstance(kw_default, ir.Const):
ok = True
elif isinstance(kw_default, tuple):
ok = all(
[isinstance(getdef(x), ir.Const) for x in kw_default]
)
elif isinstance(kw_default, ir.Expr):
if kw_default.op != "build_tuple":
continue
ok = all(
[
isinstance(getdef(x), ir.Const)
for x in kw_default.items
]
)
if not ok:
print("NOT OK")
continue
pyfunc = convert_code_obj_to_function(node, func_ir)
func = njit()(pyfunc)
new_node = ir.Global(node.code.co_name, func, stmt.loc)
stmt.value = new_node
mutated |= True
# if a change was made the del ordering is probably wrong, patch up
if mutated:
post_proc = postproc.PostProcessor(func_ir)
post_proc.run()
return mutated
|
def run_pass(self, state):
from numba import njit
func_ir = state.func_ir
mutated = False
for idx, blk in func_ir.blocks.items():
for stmt in blk.body:
if isinstance(stmt, ir.Assign):
if isinstance(stmt.value, ir.Expr):
if stmt.value.op == "make_function":
node = stmt.value
getdef = func_ir.get_definition
kw_default = getdef(node.defaults)
ok = False
if kw_default is None or isinstance(kw_default, ir.Const):
ok = True
elif isinstance(kw_default, tuple):
ok = all(
[isinstance(getdef(x), ir.Const) for x in kw_default]
)
if not ok:
continue
pyfunc = convert_code_obj_to_function(node, func_ir)
func = njit()(pyfunc)
new_node = ir.Global(node.code.co_name, func, stmt.loc)
stmt.value = new_node
mutated |= True
# if a change was made the del ordering is probably wrong, patch up
if mutated:
post_proc = postproc.PostProcessor(func_ir)
post_proc.run()
return mutated
|
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($const8.3, test.py:71)], kws=(), vararg=None)" at test.py (71)
|
IndexError
|
def _get_var_parent(name):
"""Get parent of the variable given its name"""
# If not a temporary variable
if not name.startswith("$"):
# Return the base component of the name
return name.split(
".",
)[0]
|
def _get_var_parent(name):
"""Get parent of the variable given its name"""
# If not a temprary variable
if not name.startswith("$"):
# Return the base component of the name
return name.split(
".",
)[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 _build_impl(self, cache_key, args, kws):
"""Build and cache the implementation.
Given the positional (`args`) and keyword arguments (`kws`), obtains
the `overload` implementation and wrap it in a Dispatcher object.
The expected argument types are returned for use by type-inference.
The expected argument types are only different from the given argument
types if there is an imprecise type in the given argument types.
Parameters
----------
cache_key : hashable
The key used for caching the implementation.
args : Tuple[Type]
Types of positional argument.
kws : Dict[Type]
Types of keyword argument.
Returns
-------
disp, args :
On success, returns `(Dispatcher, Tuple[Type])`.
On failure, returns `(None, None)`.
"""
from numba import jit
def normalize_args(pyfunc, args, kws):
pysig = utils.pysignature(pyfunc)
ba = pysig.bind(*args, **kws)
starargs = None
for i, (k, parm) in enumerate(pysig.parameters.items()):
if parm.kind == parm.VAR_POSITIONAL and k in ba.arguments:
starargs = ba.arguments[k]
del ba.arguments[k]
new_args = ba.args
if starargs is not None:
if (
len(starargs)
and isinstance(starargs[0], types.Tuple)
and len(starargs[0]) == 0
):
# empty tuple means no starargs
pass
else:
new_args += starargs
new_kws = ba.kwargs
return new_args, new_kws
# args, kws = normalize_args(self._overload_func, args, kws)
# Get the overload implementation for the given types
ovf_result = self._overload_func(*args, **kws)
if ovf_result is None:
# No implementation => fail typing
self._impl_cache[cache_key] = None, None
return None, None
elif isinstance(ovf_result, tuple):
# The implementation returned a signature that the type-inferencer
# should be using.
sig, pyfunc = ovf_result
args = sig.args
cache_key = None # don't cache
else:
# Regular case
pyfunc = ovf_result
# Check type of pyfunc
if not isinstance(pyfunc, FunctionType):
msg = (
"Implementator function returned by `@overload` "
"has an unexpected type. Got {}"
)
raise AssertionError(msg.format(pyfunc))
# check that the typing and impl sigs match up
if self._strict:
self._validate_sigs(self._overload_func, pyfunc)
# Make dispatcher
jitdecor = jit(nopython=True, **self._jit_options)
disp = jitdecor(pyfunc)
if cache_key is not None:
self._impl_cache[cache_key] = disp, args
return disp, args
|
def _build_impl(self, cache_key, args, kws):
"""Build and cache the implementation.
Given the positional (`args`) and keyword arguments (`kws`), obtains
the `overload` implementation and wrap it in a Dispatcher object.
The expected argument types are returned for use by type-inference.
The expected argument types are only different from the given argument
types if there is an imprecise type in the given argument types.
Parameters
----------
cache_key : hashable
The key used for caching the implementation.
args : Tuple[Type]
Types of positional argument.
kws : Dict[Type]
Types of keyword argument.
Returns
-------
disp, args :
On success, returns `(Dispatcher, Tuple[Type])`.
On failure, returns `(None, None)`.
"""
from numba import jit
# Get the overload implementation for the given types
ovf_result = self._overload_func(*args, **kws)
if ovf_result is None:
# No implementation => fail typing
self._impl_cache[cache_key] = None, None
return None, None
elif isinstance(ovf_result, tuple):
# The implementation returned a signature that the type-inferencer
# should be using.
sig, pyfunc = ovf_result
args = sig.args
cache_key = None # don't cache
else:
# Regular case
pyfunc = ovf_result
# Check type of pyfunc
if not isinstance(pyfunc, FunctionType):
msg = (
"Implementator function returned by `@overload` "
"has an unexpected type. Got {}"
)
raise AssertionError(msg.format(pyfunc))
# check that the typing and impl sigs match up
if self._strict:
self._validate_sigs(self._overload_func, pyfunc)
# Make dispatcher
jitdecor = jit(nopython=True, **self._jit_options)
disp = jitdecor(pyfunc)
if cache_key is not None:
self._impl_cache[cache_key] = disp, args
return disp, 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 _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 .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.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.parfor.get_parfor_outputs(parfor, parfor.params)
parfor_redvars, parfor_reddict = numba.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.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.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_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 = "one_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, index_var, oneelem, init_var], 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],
)
print("res_print", 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)
# 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
|
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 .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.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.parfor.get_parfor_outputs(parfor, parfor.params)
parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
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.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.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_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 = "one_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, index_var, oneelem, init_var], 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],
)
print("res_print", 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)
# 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
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def _create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
locals,
has_aliases,
index_var_typ,
races,
):
"""
Takes a parfor and creates a gufunc function for its body.
There are two parts to this function.
1) Code to iterate across the iteration space as defined by the schedule.
2) The parfor body that does the work for a single point in the iteration space.
Part 1 is created as Python text for simplicity with a sentinel assignment to mark the point
in the IR where the parfor body should be added.
This Python text is 'exec'ed into existence and its IR retrieved with run_frontend.
The IR is scanned for the sentinel assignment where that basic block is split and the IR
for the parfor body inserted.
"""
loc = parfor.init_block.loc
# The parfor body and the main function body share ir.Var nodes.
# We have to do some replacements of Var names in the parfor body to make them
# legal parameter names. If we don't copy then the Vars in the main function also
# would incorrectly change their name.
loop_body = copy.copy(parfor.loop_body)
remove_dels(loop_body)
parfor_dim = len(parfor.loop_nests)
loop_indices = [l.index_variable.name for l in parfor.loop_nests]
# Get all the parfor params.
parfor_params = parfor.params
# Get just the outputs of the parfor.
parfor_outputs = numba.parfor.get_parfor_outputs(parfor, parfor_params)
# Get all parfor reduction vars, and operators.
typemap = lowerer.fndesc.typemap
parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
lowerer.func_ir, parfor, parfor_params, lowerer.fndesc.calltypes
)
# Compute just the parfor inputs as a set difference.
parfor_inputs = sorted(
list(set(parfor_params) - set(parfor_outputs) - set(parfor_redvars))
)
races = races.difference(set(parfor_redvars))
for race in races:
msg = (
"Variable %s used in parallel loop may be written "
"to simultaneously by multiple workers and may result "
"in non-deterministic or unintended results." % race
)
warnings.warn(NumbaParallelSafetyWarning(msg, loc))
replace_var_with_array(races, loop_body, typemap, lowerer.fndesc.calltypes)
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("parfor_outputs = ", parfor_outputs, " ", type(parfor_outputs))
print("parfor_inputs = ", parfor_inputs, " ", type(parfor_inputs))
print("parfor_redvars = ", parfor_redvars, " ", type(parfor_redvars))
# Reduction variables are represented as arrays, so they go under
# different names.
parfor_redarrs = []
parfor_red_arg_types = []
for var in parfor_redvars:
arr = var + "_arr"
parfor_redarrs.append(arr)
redarraytype = redtyp_to_redarraytype(typemap[var])
parfor_red_arg_types.append(redarraytype)
redarrsig = redarraytype_to_sig(redarraytype)
if arr in typemap:
assert typemap[arr] == redarrsig
else:
typemap[arr] = redarrsig
# Reorder all the params so that inputs go first then outputs.
parfor_params = parfor_inputs + parfor_outputs + parfor_redarrs
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("loop_indices = ", loop_indices, " ", type(loop_indices))
print("loop_body = ", loop_body, " ", type(loop_body))
_print_body(loop_body)
# Some Var are not legal parameter names so create a dict of potentially illegal
# param name to guaranteed legal name.
param_dict = legalize_names_with_typemap(parfor_params + parfor_redvars, typemap)
if config.DEBUG_ARRAY_OPT >= 1:
print("param_dict = ", sorted(param_dict.items()), " ", type(param_dict))
# Some loop_indices are not legal parameter names so create a dict of potentially illegal
# loop index to guaranteed legal name.
ind_dict = legalize_names_with_typemap(loop_indices, typemap)
# Compute a new list of legal loop index names.
legal_loop_indices = [ind_dict[v] for v in loop_indices]
if config.DEBUG_ARRAY_OPT >= 1:
print("ind_dict = ", sorted(ind_dict.items()), " ", type(ind_dict))
print(
"legal_loop_indices = ", legal_loop_indices, " ", type(legal_loop_indices)
)
for pd in parfor_params:
print("pd = ", pd)
print("pd type = ", typemap[pd], " ", type(typemap[pd]))
# Get the types of each parameter.
param_types = [to_scalar_from_0d(typemap[v]) for v in parfor_params]
# Calculate types of args passed to gufunc.
func_arg_types = [
typemap[v] for v in (parfor_inputs + parfor_outputs)
] + parfor_red_arg_types
# Replace illegal parameter names in the loop body with legal ones.
replace_var_names(loop_body, param_dict)
# remember the name before legalizing as the actual arguments
parfor_args = parfor_params
# Change parfor_params to be legal names.
parfor_params = [param_dict[v] for v in parfor_params]
parfor_params_orig = parfor_params
parfor_params = []
ascontig = False
for pindex in range(len(parfor_params_orig)):
if (
ascontig
and pindex < len(parfor_inputs)
and isinstance(param_types[pindex], types.npytypes.Array)
):
parfor_params.append(parfor_params_orig[pindex] + "param")
else:
parfor_params.append(parfor_params_orig[pindex])
# Change parfor body to replace illegal loop index vars with legal ones.
replace_var_names(loop_body, ind_dict)
loop_body_var_table = get_name_var_table(loop_body)
sentinel_name = get_unused_var_name("__sentinel__", loop_body_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("legal parfor_params = ", parfor_params, " ", type(parfor_params))
# Determine the unique names of the scheduling and gufunc functions.
# sched_func_name = "__numba_parfor_sched_%s" % (hex(hash(parfor)).replace("-", "_"))
gufunc_name = "__numba_parfor_gufunc_%s" % (hex(hash(parfor)).replace("-", "_"))
if config.DEBUG_ARRAY_OPT:
# print("sched_func_name ", type(sched_func_name), " ", sched_func_name)
print("gufunc_name ", type(gufunc_name), " ", gufunc_name)
gufunc_txt = ""
# Create the gufunc function.
gufunc_txt += (
"def " + gufunc_name + "(sched, " + (", ".join(parfor_params)) + "):\n"
)
for pindex in range(len(parfor_inputs)):
if ascontig and isinstance(param_types[pindex], types.npytypes.Array):
gufunc_txt += (
" "
+ parfor_params_orig[pindex]
+ " = np.ascontiguousarray("
+ parfor_params[pindex]
+ ")\n"
)
# Add initialization of reduction variables
for arr, var in zip(parfor_redarrs, parfor_redvars):
# If reduction variable is a scalar then save current value to
# temp and accumulate on that temp to prevent false sharing.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[var] + "=" + param_dict[arr] + "[0]\n"
else:
# The reduction variable is an array so np.copy it to a temp.
gufunc_txt += (
" " + param_dict[var] + "=np.copy(" + param_dict[arr] + ")\n"
)
# For each dimension of the parfor, create a for loop in the generated gufunc function.
# Iterate across the proper values extracted from the schedule.
# The form of the schedule is start_dim0, start_dim1, ..., start_dimN, end_dim0,
# end_dim1, ..., end_dimN
for eachdim in range(parfor_dim):
for indent in range(eachdim + 1):
gufunc_txt += " "
sched_dim = eachdim
gufunc_txt += (
"for "
+ legal_loop_indices[eachdim]
+ " in range(sched["
+ str(sched_dim)
+ "], sched["
+ str(sched_dim + parfor_dim)
+ "] + np.uint8(1)):\n"
)
if config.DEBUG_ARRAY_OPT_RUNTIME:
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += "print("
for eachdim in range(parfor_dim):
gufunc_txt += (
'"'
+ legal_loop_indices[eachdim]
+ '",'
+ legal_loop_indices[eachdim]
+ ","
)
gufunc_txt += ")\n"
# Add the sentinel assignment so that we can find the loop body position
# in the IR.
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += sentinel_name + " = 0\n"
# Add assignments of reduction variables (for returning the value)
redargstartdim = {}
for arr, var in zip(parfor_redarrs, parfor_redvars):
# After the gufunc loops, copy the accumulated temp value back to reduction array.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[arr] + "[0] = " + param_dict[var] + "\n"
redargstartdim[arr] = 1
else:
# After the gufunc loops, copy the accumulated temp array back to reduction array with ":"
gufunc_txt += (
" " + param_dict[arr] + "[:] = " + param_dict[var] + "[:]\n"
)
redargstartdim[arr] = 0
gufunc_txt += " return None\n"
if config.DEBUG_ARRAY_OPT:
print("gufunc_txt = ", type(gufunc_txt), "\n", gufunc_txt)
# Force gufunc outline into existence.
globls = {"np": np}
locls = {}
exec_(gufunc_txt, globls, locls)
gufunc_func = locls[gufunc_name]
if config.DEBUG_ARRAY_OPT:
print("gufunc_func = ", type(gufunc_func), "\n", gufunc_func)
# Get the IR for the gufunc outline.
gufunc_ir = compiler.run_frontend(gufunc_func)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump ", type(gufunc_ir))
gufunc_ir.dump()
print("loop_body dump ", type(loop_body))
_print_body(loop_body)
# rename all variables in gufunc_ir afresh
var_table = get_name_var_table(gufunc_ir.blocks)
new_var_dict = {}
reserved_names = [sentinel_name] + list(param_dict.values()) + legal_loop_indices
for name, var in var_table.items():
if not (name in reserved_names):
new_var_dict[name] = mk_unique_var(name)
replace_var_names(gufunc_ir.blocks, new_var_dict)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump after renaming ")
gufunc_ir.dump()
gufunc_param_types = [
numba.types.npytypes.Array(index_var_typ, 1, "C")
] + param_types
if config.DEBUG_ARRAY_OPT:
print(
"gufunc_param_types = ", type(gufunc_param_types), "\n", gufunc_param_types
)
gufunc_stub_last_label = max(gufunc_ir.blocks.keys()) + 1
# Add gufunc stub last label to each parfor.loop_body label to prevent
# label conflicts.
loop_body = add_offset_to_labels(loop_body, gufunc_stub_last_label)
# new label for splitting sentinel block
new_label = max(loop_body.keys()) + 1
# If enabled, add a print statement after every assignment.
if config.DEBUG_ARRAY_OPT_RUNTIME:
for label, block in loop_body.items():
new_block = block.copy()
new_block.clear()
loc = block.loc
scope = block.scope
for inst in block.body:
new_block.append(inst)
# Append print after assignment
if isinstance(inst, ir.Assign):
# Only apply to numbers
if typemap[inst.target.name] not in types.number_domain:
continue
# Make constant string
strval = "{} =".format(inst.target.name)
strconsttyp = types.StringLiteral(strval)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=strval, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
new_block.append(assign_lhs)
# Make print node
print_node = ir.Print(args=[lhs, inst.target], vararg=None, loc=loc)
new_block.append(print_node)
sig = numba.typing.signature(
types.none, typemap[lhs.name], typemap[inst.target.name]
)
lowerer.fndesc.calltypes[print_node] = sig
loop_body[label] = new_block
if config.DEBUG_ARRAY_OPT:
print("parfor loop body")
_print_body(loop_body)
wrapped_blocks = wrap_loop_body(loop_body)
hoisted, not_hoisted = hoist(parfor_params, loop_body, typemap, wrapped_blocks)
start_block = gufunc_ir.blocks[min(gufunc_ir.blocks.keys())]
start_block.body = start_block.body[:-1] + hoisted + [start_block.body[-1]]
unwrap_loop_body(loop_body)
# store hoisted into diagnostics
diagnostics = lowerer.metadata["parfor_diagnostics"]
diagnostics.hoist_info[parfor.id] = {"hoisted": hoisted, "not_hoisted": not_hoisted}
if config.DEBUG_ARRAY_OPT:
print("After hoisting")
_print_body(loop_body)
# Search all the block in the gufunc outline for the sentinel assignment.
for label, block in gufunc_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the sentinel
# but the new block maintains the current block label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after the sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(loop_body.keys())
# The previous block jumps to the minimum labelled block of the
# parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc function's
# IR.
for l, b in loop_body.items():
gufunc_ir.blocks[l] = b
body_last_label = max(loop_body.keys())
gufunc_ir.blocks[new_label] = block
gufunc_ir.blocks[label] = prev_block
# Add a jump from the last parfor body block to the block containing
# statements after the sentinel.
gufunc_ir.blocks[body_last_label].append(ir.Jump(new_label, loc))
break
else:
continue
break
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump before renaming")
gufunc_ir.dump()
gufunc_ir.blocks = rename_labels(gufunc_ir.blocks)
remove_dels(gufunc_ir.blocks)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump")
gufunc_ir.dump()
print("flags", flags)
print("typemap", typemap)
old_alias = flags.noalias
if not has_aliases:
if config.DEBUG_ARRAY_OPT:
print("No aliases found so adding noalias flag.")
flags.noalias = True
kernel_func = compiler.compile_ir(
typingctx, targetctx, gufunc_ir, gufunc_param_types, types.none, flags, locals
)
flags.noalias = old_alias
kernel_sig = signature(types.none, *gufunc_param_types)
if config.DEBUG_ARRAY_OPT:
print("kernel_sig = ", kernel_sig)
return kernel_func, parfor_args, kernel_sig, redargstartdim, func_arg_types
|
def _create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
locals,
has_aliases,
index_var_typ,
races,
):
"""
Takes a parfor and creates a gufunc function for its body.
There are two parts to this function.
1) Code to iterate across the iteration space as defined by the schedule.
2) The parfor body that does the work for a single point in the iteration space.
Part 1 is created as Python text for simplicity with a sentinel assignment to mark the point
in the IR where the parfor body should be added.
This Python text is 'exec'ed into existence and its IR retrieved with run_frontend.
The IR is scanned for the sentinel assignment where that basic block is split and the IR
for the parfor body inserted.
"""
loc = parfor.init_block.loc
# The parfor body and the main function body share ir.Var nodes.
# We have to do some replacements of Var names in the parfor body to make them
# legal parameter names. If we don't copy then the Vars in the main function also
# would incorrectly change their name.
loop_body = copy.copy(parfor.loop_body)
remove_dels(loop_body)
parfor_dim = len(parfor.loop_nests)
loop_indices = [l.index_variable.name for l in parfor.loop_nests]
# Get all the parfor params.
parfor_params = parfor.params
# Get just the outputs of the parfor.
parfor_outputs = numba.parfor.get_parfor_outputs(parfor, parfor_params)
# Get all parfor reduction vars, and operators.
typemap = lowerer.fndesc.typemap
parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
parfor, parfor_params, lowerer.fndesc.calltypes
)
# Compute just the parfor inputs as a set difference.
parfor_inputs = sorted(
list(set(parfor_params) - set(parfor_outputs) - set(parfor_redvars))
)
races = races.difference(set(parfor_redvars))
for race in races:
msg = (
"Variable %s used in parallel loop may be written "
"to simultaneously by multiple workers and may result "
"in non-deterministic or unintended results." % race
)
warnings.warn(NumbaParallelSafetyWarning(msg, loc))
replace_var_with_array(races, loop_body, typemap, lowerer.fndesc.calltypes)
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("parfor_outputs = ", parfor_outputs, " ", type(parfor_outputs))
print("parfor_inputs = ", parfor_inputs, " ", type(parfor_inputs))
print("parfor_redvars = ", parfor_redvars, " ", type(parfor_redvars))
# Reduction variables are represented as arrays, so they go under
# different names.
parfor_redarrs = []
parfor_red_arg_types = []
for var in parfor_redvars:
arr = var + "_arr"
parfor_redarrs.append(arr)
redarraytype = redtyp_to_redarraytype(typemap[var])
parfor_red_arg_types.append(redarraytype)
redarrsig = redarraytype_to_sig(redarraytype)
if arr in typemap:
assert typemap[arr] == redarrsig
else:
typemap[arr] = redarrsig
# Reorder all the params so that inputs go first then outputs.
parfor_params = parfor_inputs + parfor_outputs + parfor_redarrs
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("loop_indices = ", loop_indices, " ", type(loop_indices))
print("loop_body = ", loop_body, " ", type(loop_body))
_print_body(loop_body)
# Some Var are not legal parameter names so create a dict of potentially illegal
# param name to guaranteed legal name.
param_dict = legalize_names_with_typemap(parfor_params + parfor_redvars, typemap)
if config.DEBUG_ARRAY_OPT >= 1:
print("param_dict = ", sorted(param_dict.items()), " ", type(param_dict))
# Some loop_indices are not legal parameter names so create a dict of potentially illegal
# loop index to guaranteed legal name.
ind_dict = legalize_names_with_typemap(loop_indices, typemap)
# Compute a new list of legal loop index names.
legal_loop_indices = [ind_dict[v] for v in loop_indices]
if config.DEBUG_ARRAY_OPT >= 1:
print("ind_dict = ", sorted(ind_dict.items()), " ", type(ind_dict))
print(
"legal_loop_indices = ", legal_loop_indices, " ", type(legal_loop_indices)
)
for pd in parfor_params:
print("pd = ", pd)
print("pd type = ", typemap[pd], " ", type(typemap[pd]))
# Get the types of each parameter.
param_types = [to_scalar_from_0d(typemap[v]) for v in parfor_params]
# Calculate types of args passed to gufunc.
func_arg_types = [
typemap[v] for v in (parfor_inputs + parfor_outputs)
] + parfor_red_arg_types
# Replace illegal parameter names in the loop body with legal ones.
replace_var_names(loop_body, param_dict)
# remember the name before legalizing as the actual arguments
parfor_args = parfor_params
# Change parfor_params to be legal names.
parfor_params = [param_dict[v] for v in parfor_params]
parfor_params_orig = parfor_params
parfor_params = []
ascontig = False
for pindex in range(len(parfor_params_orig)):
if (
ascontig
and pindex < len(parfor_inputs)
and isinstance(param_types[pindex], types.npytypes.Array)
):
parfor_params.append(parfor_params_orig[pindex] + "param")
else:
parfor_params.append(parfor_params_orig[pindex])
# Change parfor body to replace illegal loop index vars with legal ones.
replace_var_names(loop_body, ind_dict)
loop_body_var_table = get_name_var_table(loop_body)
sentinel_name = get_unused_var_name("__sentinel__", loop_body_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("legal parfor_params = ", parfor_params, " ", type(parfor_params))
# Determine the unique names of the scheduling and gufunc functions.
# sched_func_name = "__numba_parfor_sched_%s" % (hex(hash(parfor)).replace("-", "_"))
gufunc_name = "__numba_parfor_gufunc_%s" % (hex(hash(parfor)).replace("-", "_"))
if config.DEBUG_ARRAY_OPT:
# print("sched_func_name ", type(sched_func_name), " ", sched_func_name)
print("gufunc_name ", type(gufunc_name), " ", gufunc_name)
gufunc_txt = ""
# Create the gufunc function.
gufunc_txt += (
"def " + gufunc_name + "(sched, " + (", ".join(parfor_params)) + "):\n"
)
for pindex in range(len(parfor_inputs)):
if ascontig and isinstance(param_types[pindex], types.npytypes.Array):
gufunc_txt += (
" "
+ parfor_params_orig[pindex]
+ " = np.ascontiguousarray("
+ parfor_params[pindex]
+ ")\n"
)
# Add initialization of reduction variables
for arr, var in zip(parfor_redarrs, parfor_redvars):
# If reduction variable is a scalar then save current value to
# temp and accumulate on that temp to prevent false sharing.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[var] + "=" + param_dict[arr] + "[0]\n"
else:
# The reduction variable is an array so np.copy it to a temp.
gufunc_txt += (
" " + param_dict[var] + "=np.copy(" + param_dict[arr] + ")\n"
)
# For each dimension of the parfor, create a for loop in the generated gufunc function.
# Iterate across the proper values extracted from the schedule.
# The form of the schedule is start_dim0, start_dim1, ..., start_dimN, end_dim0,
# end_dim1, ..., end_dimN
for eachdim in range(parfor_dim):
for indent in range(eachdim + 1):
gufunc_txt += " "
sched_dim = eachdim
gufunc_txt += (
"for "
+ legal_loop_indices[eachdim]
+ " in range(sched["
+ str(sched_dim)
+ "], sched["
+ str(sched_dim + parfor_dim)
+ "] + np.uint8(1)):\n"
)
if config.DEBUG_ARRAY_OPT_RUNTIME:
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += "print("
for eachdim in range(parfor_dim):
gufunc_txt += (
'"'
+ legal_loop_indices[eachdim]
+ '",'
+ legal_loop_indices[eachdim]
+ ","
)
gufunc_txt += ")\n"
# Add the sentinel assignment so that we can find the loop body position
# in the IR.
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += sentinel_name + " = 0\n"
# Add assignments of reduction variables (for returning the value)
redargstartdim = {}
for arr, var in zip(parfor_redarrs, parfor_redvars):
# After the gufunc loops, copy the accumulated temp value back to reduction array.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[arr] + "[0] = " + param_dict[var] + "\n"
redargstartdim[arr] = 1
else:
# After the gufunc loops, copy the accumulated temp array back to reduction array with ":"
gufunc_txt += (
" " + param_dict[arr] + "[:] = " + param_dict[var] + "[:]\n"
)
redargstartdim[arr] = 0
gufunc_txt += " return None\n"
if config.DEBUG_ARRAY_OPT:
print("gufunc_txt = ", type(gufunc_txt), "\n", gufunc_txt)
# Force gufunc outline into existence.
globls = {"np": np}
locls = {}
exec_(gufunc_txt, globls, locls)
gufunc_func = locls[gufunc_name]
if config.DEBUG_ARRAY_OPT:
print("gufunc_func = ", type(gufunc_func), "\n", gufunc_func)
# Get the IR for the gufunc outline.
gufunc_ir = compiler.run_frontend(gufunc_func)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump ", type(gufunc_ir))
gufunc_ir.dump()
print("loop_body dump ", type(loop_body))
_print_body(loop_body)
# rename all variables in gufunc_ir afresh
var_table = get_name_var_table(gufunc_ir.blocks)
new_var_dict = {}
reserved_names = [sentinel_name] + list(param_dict.values()) + legal_loop_indices
for name, var in var_table.items():
if not (name in reserved_names):
new_var_dict[name] = mk_unique_var(name)
replace_var_names(gufunc_ir.blocks, new_var_dict)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump after renaming ")
gufunc_ir.dump()
gufunc_param_types = [
numba.types.npytypes.Array(index_var_typ, 1, "C")
] + param_types
if config.DEBUG_ARRAY_OPT:
print(
"gufunc_param_types = ", type(gufunc_param_types), "\n", gufunc_param_types
)
gufunc_stub_last_label = max(gufunc_ir.blocks.keys()) + 1
# Add gufunc stub last label to each parfor.loop_body label to prevent
# label conflicts.
loop_body = add_offset_to_labels(loop_body, gufunc_stub_last_label)
# new label for splitting sentinel block
new_label = max(loop_body.keys()) + 1
# If enabled, add a print statement after every assignment.
if config.DEBUG_ARRAY_OPT_RUNTIME:
for label, block in loop_body.items():
new_block = block.copy()
new_block.clear()
loc = block.loc
scope = block.scope
for inst in block.body:
new_block.append(inst)
# Append print after assignment
if isinstance(inst, ir.Assign):
# Only apply to numbers
if typemap[inst.target.name] not in types.number_domain:
continue
# Make constant string
strval = "{} =".format(inst.target.name)
strconsttyp = types.StringLiteral(strval)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=strval, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
new_block.append(assign_lhs)
# Make print node
print_node = ir.Print(args=[lhs, inst.target], vararg=None, loc=loc)
new_block.append(print_node)
sig = numba.typing.signature(
types.none, typemap[lhs.name], typemap[inst.target.name]
)
lowerer.fndesc.calltypes[print_node] = sig
loop_body[label] = new_block
if config.DEBUG_ARRAY_OPT:
print("parfor loop body")
_print_body(loop_body)
wrapped_blocks = wrap_loop_body(loop_body)
hoisted, not_hoisted = hoist(parfor_params, loop_body, typemap, wrapped_blocks)
start_block = gufunc_ir.blocks[min(gufunc_ir.blocks.keys())]
start_block.body = start_block.body[:-1] + hoisted + [start_block.body[-1]]
unwrap_loop_body(loop_body)
# store hoisted into diagnostics
diagnostics = lowerer.metadata["parfor_diagnostics"]
diagnostics.hoist_info[parfor.id] = {"hoisted": hoisted, "not_hoisted": not_hoisted}
if config.DEBUG_ARRAY_OPT:
print("After hoisting")
_print_body(loop_body)
# Search all the block in the gufunc outline for the sentinel assignment.
for label, block in gufunc_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the sentinel
# but the new block maintains the current block label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after the sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(loop_body.keys())
# The previous block jumps to the minimum labelled block of the
# parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc function's
# IR.
for l, b in loop_body.items():
gufunc_ir.blocks[l] = b
body_last_label = max(loop_body.keys())
gufunc_ir.blocks[new_label] = block
gufunc_ir.blocks[label] = prev_block
# Add a jump from the last parfor body block to the block containing
# statements after the sentinel.
gufunc_ir.blocks[body_last_label].append(ir.Jump(new_label, loc))
break
else:
continue
break
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump before renaming")
gufunc_ir.dump()
gufunc_ir.blocks = rename_labels(gufunc_ir.blocks)
remove_dels(gufunc_ir.blocks)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump")
gufunc_ir.dump()
print("flags", flags)
print("typemap", typemap)
old_alias = flags.noalias
if not has_aliases:
if config.DEBUG_ARRAY_OPT:
print("No aliases found so adding noalias flag.")
flags.noalias = True
kernel_func = compiler.compile_ir(
typingctx, targetctx, gufunc_ir, gufunc_param_types, types.none, flags, locals
)
flags.noalias = old_alias
kernel_sig = signature(types.none, *gufunc_param_types)
if config.DEBUG_ARRAY_OPT:
print("kernel_sig = ", kernel_sig)
return kernel_func, parfor_args, kernel_sig, redargstartdim, func_arg_types
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
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, {}, {})
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
dprint_func_ir(self.func_ir, "after optimization")
if config.DEBUG_ARRAY_OPT >= 1:
print("variable types: ", sorted(self.typemap.items()))
print("call types: ", self.calltypes)
# run post processor again to generate Del nodes
post_proc = postproc.PostProcessor(self.func_ir)
post_proc.run()
if self.func_ir.is_generator:
fix_generator_types(self.func_ir.generator_info, self.return_type, self.typemap)
if sequential_parfor_lowering:
lower_parfor_sequential(
self.typingctx, self.func_ir, self.typemap, self.calltypes
)
else:
# prepare for parallel lowering
# add parfor params to parfors here since lowering is destructive
# changing the IR after this is not allowed
parfor_ids, parfors = get_parfor_params(
self.func_ir.blocks, self.options.fusion, self.nested_fusion_info
)
for p in parfors:
numba.parfor.get_parfor_reductions(
self.func_ir, p, p.params, self.calltypes
)
if config.DEBUG_ARRAY_OPT_STATS:
name = self.func_ir.func_id.func_qualname
n_parfors = len(parfor_ids)
if n_parfors > 0:
after_fusion = (
"After fusion" if self.options.fusion else "With fusion disabled"
)
print(
("{}, function {} has {} parallel for-loop(s) #{}.").format(
after_fusion, name, n_parfors, parfor_ids
)
)
else:
print("Function {} has no Parfor.".format(name))
return
|
def run(self):
"""run parfor conversion pass: replace Numpy calls
with Parfors when possible and optimize the IR."""
# run array analysis, a pre-requisite for parfor translation
remove_dels(self.func_ir.blocks)
self.array_analysis.run(self.func_ir.blocks)
# run stencil translation to parfor
if self.options.stencil:
stencil_pass = StencilPass(
self.func_ir,
self.typemap,
self.calltypes,
self.array_analysis,
self.typingctx,
self.flags,
)
stencil_pass.run()
if self.options.setitem:
self._convert_setitem(self.func_ir.blocks)
if self.options.numpy:
self._convert_numpy(self.func_ir.blocks)
if self.options.reduction:
self._convert_reduce(self.func_ir.blocks)
if self.options.prange:
self._convert_loop(self.func_ir.blocks)
# setup diagnostics now parfors are found
self.diagnostics.setup(self.func_ir, self.options.fusion)
dprint_func_ir(self.func_ir, "after parfor pass")
# simplify CFG of parfor body loops since nested parfors with extra
# jumps can be created with prange conversion
simplify_parfor_body_CFG(self.func_ir.blocks)
# simplify before fusion
simplify(self.func_ir, self.typemap, self.calltypes)
# need two rounds of copy propagation to enable fusion of long sequences
# of parfors like test_fuse_argmin (some PYTHONHASHSEED values since
# apply_copies_parfor depends on set order for creating dummy assigns)
simplify(self.func_ir, self.typemap, self.calltypes)
if self.options.fusion:
self.func_ir._definitions = build_definitions(self.func_ir.blocks)
self.array_analysis.equiv_sets = dict()
self.array_analysis.run(self.func_ir.blocks)
# reorder statements to maximize fusion
# push non-parfors down
maximize_fusion(
self.func_ir, self.func_ir.blocks, self.typemap, up_direction=False
)
dprint_func_ir(self.func_ir, "after maximize fusion down")
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
# push non-parfors up
maximize_fusion(self.func_ir, self.func_ir.blocks, self.typemap)
dprint_func_ir(self.func_ir, "after maximize fusion up")
# try fuse again after maximize
self.fuse_parfors(self.array_analysis, self.func_ir.blocks)
dprint_func_ir(self.func_ir, "after fusion")
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
# push function call variables inside parfors so gufunc function
# wouldn't need function variables as argument
push_call_vars(self.func_ir.blocks, {}, {})
# simplify again
simplify(self.func_ir, self.typemap, self.calltypes)
dprint_func_ir(self.func_ir, "after optimization")
if config.DEBUG_ARRAY_OPT >= 1:
print("variable types: ", sorted(self.typemap.items()))
print("call types: ", self.calltypes)
# run post processor again to generate Del nodes
post_proc = postproc.PostProcessor(self.func_ir)
post_proc.run()
if self.func_ir.is_generator:
fix_generator_types(self.func_ir.generator_info, self.return_type, self.typemap)
if sequential_parfor_lowering:
lower_parfor_sequential(
self.typingctx, self.func_ir, self.typemap, self.calltypes
)
else:
# prepare for parallel lowering
# add parfor params to parfors here since lowering is destructive
# changing the IR after this is not allowed
parfor_ids = get_parfor_params(
self.func_ir.blocks, self.options.fusion, self.nested_fusion_info
)
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/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def get_parfor_params(blocks, options_fusion, fusion_info):
"""find variables used in body of parfors from outside and save them.
computed as live variables at entry of first block.
"""
# since parfor wrap creates a back-edge to first non-init basic block,
# live_map[first_non_init_block] contains variables defined in parfor body
# that could be undefined before. So we only consider variables that are
# actually defined before the parfor body in the program.
parfor_ids = set()
parfors = []
pre_defs = set()
_, all_defs = compute_use_defs(blocks)
topo_order = find_topo_order(blocks)
for label in topo_order:
block = blocks[label]
for i, parfor in _find_parfors(block.body):
# find variable defs before the parfor in the same block
dummy_block = ir.Block(block.scope, block.loc)
dummy_block.body = block.body[:i]
before_defs = compute_use_defs({0: dummy_block}).defmap[0]
pre_defs |= before_defs
parfor.params = (
get_parfor_params_inner(parfor, pre_defs, options_fusion, fusion_info)
| parfor.races
)
parfor_ids.add(parfor.id)
parfors.append(parfor)
pre_defs |= all_defs[label]
return parfor_ids, parfors
|
def get_parfor_params(blocks, options_fusion, fusion_info):
"""find variables used in body of parfors from outside and save them.
computed as live variables at entry of first block.
"""
# since parfor wrap creates a back-edge to first non-init basic block,
# live_map[first_non_init_block] contains variables defined in parfor body
# that could be undefined before. So we only consider variables that are
# actually defined before the parfor body in the program.
parfor_ids = set()
pre_defs = set()
_, all_defs = compute_use_defs(blocks)
topo_order = find_topo_order(blocks)
for label in topo_order:
block = blocks[label]
for i, parfor in _find_parfors(block.body):
# find variable defs before the parfor in the same block
dummy_block = ir.Block(block.scope, block.loc)
dummy_block.body = block.body[:i]
before_defs = compute_use_defs({0: dummy_block}).defmap[0]
pre_defs |= before_defs
parfor.params = (
get_parfor_params_inner(parfor, pre_defs, options_fusion, fusion_info)
| parfor.races
)
parfor_ids.add(parfor.id)
pre_defs |= all_defs[label]
return parfor_ids
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def get_parfor_params_inner(parfor, pre_defs, options_fusion, fusion_info):
blocks = wrap_parfor_blocks(parfor)
cfg = compute_cfg_from_blocks(blocks)
usedefs = compute_use_defs(blocks)
live_map = compute_live_map(cfg, blocks, usedefs.usemap, usedefs.defmap)
parfor_ids, _ = get_parfor_params(blocks, options_fusion, fusion_info)
n_parfors = len(parfor_ids)
if n_parfors > 0:
if config.DEBUG_ARRAY_OPT_STATS:
after_fusion = "After fusion" if options_fusion else "With fusion disabled"
print(
("{}, parallel for-loop {} has nested Parfor(s) #{}.").format(
after_fusion, parfor.id, n_parfors, parfor_ids
)
)
fusion_info[parfor.id] = list(parfor_ids)
unwrap_parfor_blocks(parfor)
keylist = sorted(live_map.keys())
init_block = keylist[0]
first_non_init_block = keylist[1]
before_defs = usedefs.defmap[init_block] | pre_defs
params = live_map[first_non_init_block] & before_defs
return params
|
def get_parfor_params_inner(parfor, pre_defs, options_fusion, fusion_info):
blocks = wrap_parfor_blocks(parfor)
cfg = compute_cfg_from_blocks(blocks)
usedefs = compute_use_defs(blocks)
live_map = compute_live_map(cfg, blocks, usedefs.usemap, usedefs.defmap)
parfor_ids = get_parfor_params(blocks, options_fusion, fusion_info)
n_parfors = len(parfor_ids)
if n_parfors > 0:
if config.DEBUG_ARRAY_OPT_STATS:
after_fusion = "After fusion" if options_fusion else "With fusion disabled"
print(
("{}, parallel for-loop {} has nested Parfor(s) #{}.").format(
after_fusion, parfor.id, n_parfors, parfor_ids
)
)
fusion_info[parfor.id] = list(parfor_ids)
unwrap_parfor_blocks(parfor)
keylist = sorted(live_map.keys())
init_block = keylist[0]
first_non_init_block = keylist[1]
before_defs = usedefs.defmap[init_block] | pre_defs
params = live_map[first_non_init_block] & before_defs
return params
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def get_parfor_reductions(
func_ir,
parfor,
parfor_params,
calltypes,
reductions=None,
reduce_varnames=None,
param_uses=None,
param_nodes=None,
var_to_param=None,
):
"""find variables that are updated using their previous values and an array
item accessed with parfor index, e.g. s = s+A[i]
"""
if reductions is None:
reductions = {}
if reduce_varnames is None:
reduce_varnames = []
# for each param variable, find what other variables are used to update it
# also, keep the related nodes
if param_uses is None:
param_uses = defaultdict(list)
if param_nodes is None:
param_nodes = defaultdict(list)
if var_to_param is None:
var_to_param = {}
blocks = wrap_parfor_blocks(parfor)
topo_order = find_topo_order(blocks)
topo_order = topo_order[1:] # ignore init block
unwrap_parfor_blocks(parfor)
for label in reversed(topo_order):
for stmt in reversed(parfor.loop_body[label].body):
if isinstance(stmt, ir.Assign) and (
stmt.target.name in parfor_params or stmt.target.name in var_to_param
):
lhs = stmt.target.name
rhs = stmt.value
cur_param = lhs if lhs in parfor_params else var_to_param[lhs]
used_vars = []
if isinstance(rhs, ir.Var):
used_vars = [rhs.name]
elif isinstance(rhs, ir.Expr):
used_vars = [v.name for v in stmt.value.list_vars()]
param_uses[cur_param].extend(used_vars)
for v in used_vars:
var_to_param[v] = cur_param
# save copy of dependent stmt
stmt_cp = copy.deepcopy(stmt)
if stmt.value in calltypes:
calltypes[stmt_cp.value] = calltypes[stmt.value]
param_nodes[cur_param].append(stmt_cp)
if isinstance(stmt, Parfor):
# recursive parfors can have reductions like test_prange8
get_parfor_reductions(
func_ir,
stmt,
parfor_params,
calltypes,
reductions,
reduce_varnames,
param_uses,
param_nodes,
var_to_param,
)
for param, used_vars in param_uses.items():
# a parameter is a reduction variable if its value is used to update it
# check reduce_varnames since recursive parfors might have processed
# param already
if param in used_vars and param not in reduce_varnames:
reduce_varnames.append(param)
param_nodes[param].reverse()
reduce_nodes = get_reduce_nodes(param, param_nodes[param], func_ir)
gri_out = guard(get_reduction_init, reduce_nodes)
if gri_out is not None:
init_val, redop = gri_out
else:
init_val = None
redop = None
reductions[param] = (init_val, reduce_nodes, redop)
return reduce_varnames, reductions
|
def get_parfor_reductions(
parfor,
parfor_params,
calltypes,
reductions=None,
reduce_varnames=None,
param_uses=None,
param_nodes=None,
var_to_param=None,
):
"""find variables that are updated using their previous values and an array
item accessed with parfor index, e.g. s = s+A[i]
"""
if reductions is None:
reductions = {}
if reduce_varnames is None:
reduce_varnames = []
# for each param variable, find what other variables are used to update it
# also, keep the related nodes
if param_uses is None:
param_uses = defaultdict(list)
if param_nodes is None:
param_nodes = defaultdict(list)
if var_to_param is None:
var_to_param = {}
blocks = wrap_parfor_blocks(parfor)
topo_order = find_topo_order(blocks)
topo_order = topo_order[1:] # ignore init block
unwrap_parfor_blocks(parfor)
for label in reversed(topo_order):
for stmt in reversed(parfor.loop_body[label].body):
if isinstance(stmt, ir.Assign) and (
stmt.target.name in parfor_params or stmt.target.name in var_to_param
):
lhs = stmt.target.name
rhs = stmt.value
cur_param = lhs if lhs in parfor_params else var_to_param[lhs]
used_vars = []
if isinstance(rhs, ir.Var):
used_vars = [rhs.name]
elif isinstance(rhs, ir.Expr):
used_vars = [v.name for v in stmt.value.list_vars()]
param_uses[cur_param].extend(used_vars)
for v in used_vars:
var_to_param[v] = cur_param
# save copy of dependent stmt
stmt_cp = copy.deepcopy(stmt)
if stmt.value in calltypes:
calltypes[stmt_cp.value] = calltypes[stmt.value]
param_nodes[cur_param].append(stmt_cp)
if isinstance(stmt, Parfor):
# recursive parfors can have reductions like test_prange8
get_parfor_reductions(
stmt,
parfor_params,
calltypes,
reductions,
reduce_varnames,
param_uses,
param_nodes,
var_to_param,
)
for param, used_vars in param_uses.items():
# a parameter is a reduction variable if its value is used to update it
# check reduce_varnames since recursive parfors might have processed
# param already
if param in used_vars and param not in reduce_varnames:
reduce_varnames.append(param)
param_nodes[param].reverse()
reduce_nodes = get_reduce_nodes(param, param_nodes[param])
gri_out = guard(get_reduction_init, reduce_nodes)
if gri_out is not None:
init_val, redop = gri_out
else:
init_val = None
redop = None
reductions[param] = (init_val, reduce_nodes, redop)
return reduce_varnames, reductions
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def get_reduce_nodes(name, nodes, func_ir):
"""
Get nodes that combine the reduction variable with a sentinel variable.
Recognizes the first node that combines the reduction variable with another
variable.
"""
reduce_nodes = None
defs = {}
def lookup(var, varonly=True):
val = defs.get(var.name, None)
if isinstance(val, ir.Var):
return lookup(val)
else:
return var if (varonly or val == None) else val
for i, stmt in enumerate(nodes):
lhs = stmt.target
rhs = stmt.value
defs[lhs.name] = rhs
if isinstance(rhs, ir.Var) and rhs.name in defs:
rhs = lookup(rhs)
if isinstance(rhs, ir.Expr):
in_vars = set(lookup(v, True).name for v in rhs.list_vars())
if name in in_vars:
next_node = nodes[i + 1]
if not (
isinstance(next_node, ir.Assign) and next_node.target.name == name
):
raise ValueError(
(
"Use of reduction variable "
+ name
+ " other than in a supported reduction"
" function is not permitted."
)
)
if not supported_reduction(rhs, func_ir):
raise ValueError(
(
"Use of reduction variable "
+ name
+ " in an unsupported reduction function."
)
)
args = [(x.name, lookup(x, True)) for x in get_expr_args(rhs)]
non_red_args = [x for (x, y) in args if y.name != name]
assert len(non_red_args) == 1
args = [(x, y) for (x, y) in args if x != y.name]
replace_dict = dict(args)
replace_dict[non_red_args[0]] = ir.Var(
lhs.scope, name + "#init", lhs.loc
)
replace_vars_inner(rhs, replace_dict)
reduce_nodes = nodes[i:]
break
assert reduce_nodes, "Invalid reduction format"
return reduce_nodes
|
def get_reduce_nodes(name, nodes):
"""
Get nodes that combine the reduction variable with a sentinel variable.
Recognizes the first node that combines the reduction variable with another
variable.
"""
reduce_nodes = None
defs = {}
def lookup(var, varonly=True):
val = defs.get(var.name, None)
if isinstance(val, ir.Var):
return lookup(val)
else:
return var if (varonly or val == None) else val
for i, stmt in enumerate(nodes):
lhs = stmt.target
rhs = stmt.value
defs[lhs.name] = rhs
if isinstance(rhs, ir.Var) and rhs.name in defs:
rhs = lookup(rhs)
if isinstance(rhs, ir.Expr):
in_vars = set(lookup(v, True).name for v in rhs.list_vars())
if name in in_vars:
args = [(x.name, lookup(x, True)) for x in get_expr_args(rhs)]
non_red_args = [x for (x, y) in args if y.name != name]
assert len(non_red_args) == 1
args = [(x, y) for (x, y) in args if x != y.name]
replace_dict = dict(args)
replace_dict[non_red_args[0]] = ir.Var(
lhs.scope, name + "#init", lhs.loc
)
replace_vars_inner(rhs, replace_dict)
reduce_nodes = nodes[i:]
break
assert reduce_nodes, "Invalid reduction format"
return reduce_nodes
|
https://github.com/numba/numba/issues/4738
|
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
409 if isinstance(inst, _class):
--> 410 func(self, inst)
411 return
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/npyufunc/parfor.py in _lower_parfor_parallel(lowerer, parfor)
97 parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
---> 98 parfor, parfor.params, lowerer.fndesc.calltypes)
99
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_parfor_reductions(parfor, parfor_params, calltypes, reductions, reduce_varnames, param_uses, param_nodes, var_to_param)
2968 param_nodes[param].reverse()
-> 2969 reduce_nodes = get_reduce_nodes(param, param_nodes[param])
2970 init_val = guard(get_reduction_init, reduce_nodes)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/parfor.py in get_reduce_nodes(name, nodes)
3017 non_red_args = [ x for (x, y) in args if y.name != name ]
-> 3018 assert len(non_red_args) == 1
3019 args = [ (x, y) for (x, y) in args if x != y.name ]
AssertionError:
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-79-3ff90f149e7e> in <module>
1 n_sims = 100
----> 2 level_data_simulations = run_simulations(n_players, n_sims, t_levels, t_player, player, max_level)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
/Library/Frameworks/Python.framework/Versions/3.7/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
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
File "<ipython-input-78-9c8bcba8955a>", line 4:
def run_simulations(n_p, n_s, t_lvl, t_plr, plr,mx_lvl):
<source elided>
# lvl_sims = np.empty(shape=(np.shape(lvl)[0], np.shape(lvl)[1], n_s))
for s in prange(n_s):
^
[1] During: lowering "id=0[LoopNest(index_variable = parfor_index.10, range = (0, n_s, 1))]{12: <ir.Block at <ipython-input-78-9c8bcba8955a> (4)>}Var(parfor_index.10, <ipython-input-78-9c8bcba8955a> (4))" at <ipython-input-78-9c8bcba8955a> (4)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
|
AssertionError
|
def _get_names(self, obj):
"""Return a set of names for the given obj, where array and tuples
are broken down to their individual shapes or elements. This is
safe because both Numba array shapes and Python tuples are immutable.
"""
if isinstance(obj, ir.Var) or isinstance(obj, str):
name = obj if isinstance(obj, str) else obj.name
typ = self.typemap[name]
if isinstance(typ, types.BaseTuple) or isinstance(typ, types.ArrayCompatible):
ndim = typ.ndim if isinstance(typ, types.ArrayCompatible) else len(typ)
# Treat 0d array as if it were a scalar.
if ndim == 0:
return (name,)
else:
return tuple("{}#{}".format(name, i) for i in range(ndim))
else:
return (name,)
elif isinstance(obj, ir.Const):
if isinstance(obj.value, tuple):
return obj.value
else:
return (obj.value,)
elif isinstance(obj, tuple):
return tuple(self._get_names(x)[0] for x in obj)
elif isinstance(obj, int):
return (obj,)
else:
raise NotImplementedError("ShapeEquivSet does not support {}".format(obj))
|
def _get_names(self, obj):
"""Return a set of names for the given obj, where array and tuples
are broken down to their individual shapes or elements. This is
safe because both Numba array shapes and Python tuples are immutable.
"""
if isinstance(obj, ir.Var) or isinstance(obj, str):
name = obj if isinstance(obj, str) else obj.name
typ = self.typemap[name]
if isinstance(typ, types.BaseTuple) or isinstance(typ, types.ArrayCompatible):
ndim = typ.ndim if isinstance(typ, types.ArrayCompatible) else len(typ)
if ndim == 0:
return ()
else:
return tuple("{}#{}".format(name, i) for i in range(ndim))
else:
return (name,)
elif isinstance(obj, ir.Const):
if isinstance(obj.value, tuple):
return obj.value
else:
return (obj.value,)
elif isinstance(obj, tuple):
return tuple(self._get_names(x)[0] for x in obj)
elif isinstance(obj, int):
return (obj,)
else:
raise NotImplementedError("ShapeEquivSet does not support {}".format(obj))
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def get_shape_classes(self, name):
"""Instead of the shape tuple, return tuple of int, where
each int is the corresponding class index of the size object.
Unknown shapes are given class index -1. Return empty tuple
if the input name is a scalar variable.
"""
if isinstance(name, ir.Var):
name = name.name
typ = self.typemap[name] if name in self.typemap else None
if not (
isinstance(typ, types.BaseTuple)
or isinstance(typ, types.SliceType)
or isinstance(typ, types.ArrayCompatible)
):
return []
# Treat 0d arrays like scalars.
if isinstance(typ, types.ArrayCompatible) and typ.ndim == 0:
return []
names = self._get_names(name)
inds = tuple(self._get_ind(name) for name in names)
return inds
|
def get_shape_classes(self, name):
"""Instead of the shape tuple, return tuple of int, where
each int is the corresponding class index of the size object.
Unknown shapes are given class index -1. Return empty tuple
if the input name is a scalar variable.
"""
if isinstance(name, ir.Var):
name = name.name
typ = self.typemap[name] if name in self.typemap else None
if not (
isinstance(typ, types.BaseTuple)
or isinstance(typ, types.SliceType)
or isinstance(typ, types.ArrayCompatible)
):
return []
names = self._get_names(name)
inds = tuple(self._get_ind(name) for name in names)
return inds
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def _create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
locals,
has_aliases,
index_var_typ,
races,
):
"""
Takes a parfor and creates a gufunc function for its body.
There are two parts to this function.
1) Code to iterate across the iteration space as defined by the schedule.
2) The parfor body that does the work for a single point in the iteration space.
Part 1 is created as Python text for simplicity with a sentinel assignment to mark the point
in the IR where the parfor body should be added.
This Python text is 'exec'ed into existence and its IR retrieved with run_frontend.
The IR is scanned for the sentinel assignment where that basic block is split and the IR
for the parfor body inserted.
"""
loc = parfor.init_block.loc
# The parfor body and the main function body share ir.Var nodes.
# We have to do some replacements of Var names in the parfor body to make them
# legal parameter names. If we don't copy then the Vars in the main function also
# would incorrectly change their name.
loop_body = copy.copy(parfor.loop_body)
remove_dels(loop_body)
parfor_dim = len(parfor.loop_nests)
loop_indices = [l.index_variable.name for l in parfor.loop_nests]
# Get all the parfor params.
parfor_params = parfor.params
# Get just the outputs of the parfor.
parfor_outputs = numba.parfor.get_parfor_outputs(parfor, parfor_params)
# Get all parfor reduction vars, and operators.
typemap = lowerer.fndesc.typemap
parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
parfor, parfor_params, lowerer.fndesc.calltypes
)
# Compute just the parfor inputs as a set difference.
parfor_inputs = sorted(
list(set(parfor_params) - set(parfor_outputs) - set(parfor_redvars))
)
races = races.difference(set(parfor_redvars))
for race in races:
msg = (
"Variable %s used in parallel loop may be written "
"to simultaneously by multiple workers and may result "
"in non-deterministic or unintended results." % race
)
warnings.warn(NumbaParallelSafetyWarning(msg, loc))
replace_var_with_array(races, loop_body, typemap, lowerer.fndesc.calltypes)
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("parfor_outputs = ", parfor_outputs, " ", type(parfor_outputs))
print("parfor_inputs = ", parfor_inputs, " ", type(parfor_inputs))
print("parfor_redvars = ", parfor_redvars, " ", type(parfor_redvars))
# Reduction variables are represented as arrays, so they go under
# different names.
parfor_redarrs = []
parfor_red_arg_types = []
for var in parfor_redvars:
arr = var + "_arr"
parfor_redarrs.append(arr)
redarraytype = redtyp_to_redarraytype(typemap[var])
parfor_red_arg_types.append(redarraytype)
redarrsig = redarraytype_to_sig(redarraytype)
if arr in typemap:
assert typemap[arr] == redarrsig
else:
typemap[arr] = redarrsig
# Reorder all the params so that inputs go first then outputs.
parfor_params = parfor_inputs + parfor_outputs + parfor_redarrs
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("loop_indices = ", loop_indices, " ", type(loop_indices))
print("loop_body = ", loop_body, " ", type(loop_body))
_print_body(loop_body)
# Some Var are not legal parameter names so create a dict of potentially illegal
# param name to guaranteed legal name.
param_dict = legalize_names_with_typemap(parfor_params + parfor_redvars, typemap)
if config.DEBUG_ARRAY_OPT >= 1:
print("param_dict = ", sorted(param_dict.items()), " ", type(param_dict))
# Some loop_indices are not legal parameter names so create a dict of potentially illegal
# loop index to guaranteed legal name.
ind_dict = legalize_names_with_typemap(loop_indices, typemap)
# Compute a new list of legal loop index names.
legal_loop_indices = [ind_dict[v] for v in loop_indices]
if config.DEBUG_ARRAY_OPT >= 1:
print("ind_dict = ", sorted(ind_dict.items()), " ", type(ind_dict))
print(
"legal_loop_indices = ", legal_loop_indices, " ", type(legal_loop_indices)
)
for pd in parfor_params:
print("pd = ", pd)
print("pd type = ", typemap[pd], " ", type(typemap[pd]))
# Get the types of each parameter.
param_types = [to_scalar_from_0d(typemap[v]) for v in parfor_params]
# Calculate types of args passed to gufunc.
func_arg_types = [
typemap[v] for v in (parfor_inputs + parfor_outputs)
] + parfor_red_arg_types
# Replace illegal parameter names in the loop body with legal ones.
replace_var_names(loop_body, param_dict)
# remember the name before legalizing as the actual arguments
parfor_args = parfor_params
# Change parfor_params to be legal names.
parfor_params = [param_dict[v] for v in parfor_params]
parfor_params_orig = parfor_params
parfor_params = []
ascontig = False
for pindex in range(len(parfor_params_orig)):
if (
ascontig
and pindex < len(parfor_inputs)
and isinstance(param_types[pindex], types.npytypes.Array)
):
parfor_params.append(parfor_params_orig[pindex] + "param")
else:
parfor_params.append(parfor_params_orig[pindex])
# Change parfor body to replace illegal loop index vars with legal ones.
replace_var_names(loop_body, ind_dict)
loop_body_var_table = get_name_var_table(loop_body)
sentinel_name = get_unused_var_name("__sentinel__", loop_body_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("legal parfor_params = ", parfor_params, " ", type(parfor_params))
# Determine the unique names of the scheduling and gufunc functions.
# sched_func_name = "__numba_parfor_sched_%s" % (hex(hash(parfor)).replace("-", "_"))
gufunc_name = "__numba_parfor_gufunc_%s" % (hex(hash(parfor)).replace("-", "_"))
if config.DEBUG_ARRAY_OPT:
# print("sched_func_name ", type(sched_func_name), " ", sched_func_name)
print("gufunc_name ", type(gufunc_name), " ", gufunc_name)
gufunc_txt = ""
# Create the gufunc function.
gufunc_txt += (
"def " + gufunc_name + "(sched, " + (", ".join(parfor_params)) + "):\n"
)
for pindex in range(len(parfor_inputs)):
if ascontig and isinstance(param_types[pindex], types.npytypes.Array):
gufunc_txt += (
" "
+ parfor_params_orig[pindex]
+ " = np.ascontiguousarray("
+ parfor_params[pindex]
+ ")\n"
)
# Add initialization of reduction variables
for arr, var in zip(parfor_redarrs, parfor_redvars):
# If reduction variable is a scalar then save current value to
# temp and accumulate on that temp to prevent false sharing.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[var] + "=" + param_dict[arr] + "[0]\n"
else:
# The reduction variable is an array so np.copy it to a temp.
gufunc_txt += (
" " + param_dict[var] + "=np.copy(" + param_dict[arr] + ")\n"
)
# For each dimension of the parfor, create a for loop in the generated gufunc function.
# Iterate across the proper values extracted from the schedule.
# The form of the schedule is start_dim0, start_dim1, ..., start_dimN, end_dim0,
# end_dim1, ..., end_dimN
for eachdim in range(parfor_dim):
for indent in range(eachdim + 1):
gufunc_txt += " "
sched_dim = eachdim
gufunc_txt += (
"for "
+ legal_loop_indices[eachdim]
+ " in range(sched["
+ str(sched_dim)
+ "], sched["
+ str(sched_dim + parfor_dim)
+ "] + np.uint8(1)):\n"
)
if config.DEBUG_ARRAY_OPT_RUNTIME:
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += "print("
for eachdim in range(parfor_dim):
gufunc_txt += (
'"'
+ legal_loop_indices[eachdim]
+ '",'
+ legal_loop_indices[eachdim]
+ ","
)
gufunc_txt += ")\n"
# Add the sentinel assignment so that we can find the loop body position
# in the IR.
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += sentinel_name + " = 0\n"
# Add assignments of reduction variables (for returning the value)
redargstartdim = {}
for arr, var in zip(parfor_redarrs, parfor_redvars):
# After the gufunc loops, copy the accumulated temp value back to reduction array.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[arr] + "[0] = " + param_dict[var] + "\n"
redargstartdim[arr] = 1
else:
# After the gufunc loops, copy the accumulated temp array back to reduction array with ":"
gufunc_txt += (
" " + param_dict[arr] + "[:] = " + param_dict[var] + "[:]\n"
)
redargstartdim[arr] = 0
gufunc_txt += " return None\n"
if config.DEBUG_ARRAY_OPT:
print("gufunc_txt = ", type(gufunc_txt), "\n", gufunc_txt)
# Force gufunc outline into existence.
globls = {"np": np}
locls = {}
exec_(gufunc_txt, globls, locls)
gufunc_func = locls[gufunc_name]
if config.DEBUG_ARRAY_OPT:
print("gufunc_func = ", type(gufunc_func), "\n", gufunc_func)
# Get the IR for the gufunc outline.
gufunc_ir = compiler.run_frontend(gufunc_func)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump ", type(gufunc_ir))
gufunc_ir.dump()
print("loop_body dump ", type(loop_body))
_print_body(loop_body)
# rename all variables in gufunc_ir afresh
var_table = get_name_var_table(gufunc_ir.blocks)
new_var_dict = {}
reserved_names = [sentinel_name] + list(param_dict.values()) + legal_loop_indices
for name, var in var_table.items():
if not (name in reserved_names):
new_var_dict[name] = mk_unique_var(name)
replace_var_names(gufunc_ir.blocks, new_var_dict)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump after renaming ")
gufunc_ir.dump()
gufunc_param_types = [
numba.types.npytypes.Array(index_var_typ, 1, "C")
] + param_types
if config.DEBUG_ARRAY_OPT:
print(
"gufunc_param_types = ", type(gufunc_param_types), "\n", gufunc_param_types
)
gufunc_stub_last_label = max(gufunc_ir.blocks.keys()) + 1
# Add gufunc stub last label to each parfor.loop_body label to prevent
# label conflicts.
loop_body = add_offset_to_labels(loop_body, gufunc_stub_last_label)
# new label for splitting sentinel block
new_label = max(loop_body.keys()) + 1
# If enabled, add a print statement after every assignment.
if config.DEBUG_ARRAY_OPT_RUNTIME:
for label, block in loop_body.items():
new_block = block.copy()
new_block.clear()
loc = block.loc
scope = block.scope
for inst in block.body:
new_block.append(inst)
# Append print after assignment
if isinstance(inst, ir.Assign):
# Only apply to numbers
if typemap[inst.target.name] not in types.number_domain:
continue
# Make constant string
strval = "{} =".format(inst.target.name)
strconsttyp = types.StringLiteral(strval)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=strval, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
new_block.append(assign_lhs)
# Make print node
print_node = ir.Print(args=[lhs, inst.target], vararg=None, loc=loc)
new_block.append(print_node)
sig = numba.typing.signature(
types.none, typemap[lhs.name], typemap[inst.target.name]
)
lowerer.fndesc.calltypes[print_node] = sig
loop_body[label] = new_block
if config.DEBUG_ARRAY_OPT:
print("parfor loop body")
_print_body(loop_body)
wrapped_blocks = wrap_loop_body(loop_body)
hoisted, not_hoisted = hoist(parfor_params, loop_body, typemap, wrapped_blocks)
start_block = gufunc_ir.blocks[min(gufunc_ir.blocks.keys())]
start_block.body = start_block.body[:-1] + hoisted + [start_block.body[-1]]
unwrap_loop_body(loop_body)
# store hoisted into diagnostics
diagnostics = lowerer.metadata["parfor_diagnostics"]
diagnostics.hoist_info[parfor.id] = {"hoisted": hoisted, "not_hoisted": not_hoisted}
if config.DEBUG_ARRAY_OPT:
print("After hoisting")
_print_body(loop_body)
# Search all the block in the gufunc outline for the sentinel assignment.
for label, block in gufunc_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the sentinel
# but the new block maintains the current block label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after the sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(loop_body.keys())
# The previous block jumps to the minimum labelled block of the
# parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc function's
# IR.
for l, b in loop_body.items():
gufunc_ir.blocks[l] = b
body_last_label = max(loop_body.keys())
gufunc_ir.blocks[new_label] = block
gufunc_ir.blocks[label] = prev_block
# Add a jump from the last parfor body block to the block containing
# statements after the sentinel.
gufunc_ir.blocks[body_last_label].append(ir.Jump(new_label, loc))
break
else:
continue
break
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump before renaming")
gufunc_ir.dump()
gufunc_ir.blocks = rename_labels(gufunc_ir.blocks)
remove_dels(gufunc_ir.blocks)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump")
gufunc_ir.dump()
print("flags", flags)
print("typemap", typemap)
old_alias = flags.noalias
if not has_aliases:
if config.DEBUG_ARRAY_OPT:
print("No aliases found so adding noalias flag.")
flags.noalias = True
kernel_func = compiler.compile_ir(
typingctx, targetctx, gufunc_ir, gufunc_param_types, types.none, flags, locals
)
flags.noalias = old_alias
kernel_sig = signature(types.none, *gufunc_param_types)
if config.DEBUG_ARRAY_OPT:
print("kernel_sig = ", kernel_sig)
return kernel_func, parfor_args, kernel_sig, redargstartdim, func_arg_types
|
def _create_gufunc_for_parfor_body(
lowerer,
parfor,
typemap,
typingctx,
targetctx,
flags,
locals,
has_aliases,
index_var_typ,
races,
):
"""
Takes a parfor and creates a gufunc function for its body.
There are two parts to this function.
1) Code to iterate across the iteration space as defined by the schedule.
2) The parfor body that does the work for a single point in the iteration space.
Part 1 is created as Python text for simplicity with a sentinel assignment to mark the point
in the IR where the parfor body should be added.
This Python text is 'exec'ed into existence and its IR retrieved with run_frontend.
The IR is scanned for the sentinel assignment where that basic block is split and the IR
for the parfor body inserted.
"""
loc = parfor.init_block.loc
# The parfor body and the main function body share ir.Var nodes.
# We have to do some replacements of Var names in the parfor body to make them
# legal parameter names. If we don't copy then the Vars in the main function also
# would incorrectly change their name.
loop_body = copy.copy(parfor.loop_body)
remove_dels(loop_body)
parfor_dim = len(parfor.loop_nests)
loop_indices = [l.index_variable.name for l in parfor.loop_nests]
# Get all the parfor params.
parfor_params = parfor.params
# Get just the outputs of the parfor.
parfor_outputs = numba.parfor.get_parfor_outputs(parfor, parfor_params)
# Get all parfor reduction vars, and operators.
typemap = lowerer.fndesc.typemap
parfor_redvars, parfor_reddict = numba.parfor.get_parfor_reductions(
parfor, parfor_params, lowerer.fndesc.calltypes
)
# Compute just the parfor inputs as a set difference.
parfor_inputs = sorted(
list(set(parfor_params) - set(parfor_outputs) - set(parfor_redvars))
)
races = races.difference(set(parfor_redvars))
for race in races:
msg = (
"Variable %s used in parallel loop may be written "
"to simultaneously by multiple workers and may result "
"in non-deterministic or unintended results." % race
)
warnings.warn(NumbaParallelSafetyWarning(msg, loc))
replace_var_with_array(races, loop_body, typemap, lowerer.fndesc.calltypes)
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("parfor_outputs = ", parfor_outputs, " ", type(parfor_outputs))
print("parfor_inputs = ", parfor_inputs, " ", type(parfor_inputs))
print("parfor_redvars = ", parfor_redvars, " ", type(parfor_redvars))
# Reduction variables are represented as arrays, so they go under
# different names.
parfor_redarrs = []
parfor_red_arg_types = []
for var in parfor_redvars:
arr = var + "_arr"
parfor_redarrs.append(arr)
redarraytype = redtyp_to_redarraytype(typemap[var])
parfor_red_arg_types.append(redarraytype)
redarrsig = redarraytype_to_sig(redarraytype)
if arr in typemap:
assert typemap[arr] == redarrsig
else:
typemap[arr] = redarrsig
# Reorder all the params so that inputs go first then outputs.
parfor_params = parfor_inputs + parfor_outputs + parfor_redarrs
if config.DEBUG_ARRAY_OPT >= 1:
print("parfor_params = ", parfor_params, " ", type(parfor_params))
print("loop_indices = ", loop_indices, " ", type(loop_indices))
print("loop_body = ", loop_body, " ", type(loop_body))
_print_body(loop_body)
# Some Var are not legal parameter names so create a dict of potentially illegal
# param name to guaranteed legal name.
param_dict = legalize_names_with_typemap(parfor_params + parfor_redvars, typemap)
if config.DEBUG_ARRAY_OPT >= 1:
print("param_dict = ", sorted(param_dict.items()), " ", type(param_dict))
# Some loop_indices are not legal parameter names so create a dict of potentially illegal
# loop index to guaranteed legal name.
ind_dict = legalize_names_with_typemap(loop_indices, typemap)
# Compute a new list of legal loop index names.
legal_loop_indices = [ind_dict[v] for v in loop_indices]
if config.DEBUG_ARRAY_OPT >= 1:
print("ind_dict = ", sorted(ind_dict.items()), " ", type(ind_dict))
print(
"legal_loop_indices = ", legal_loop_indices, " ", type(legal_loop_indices)
)
for pd in parfor_params:
print("pd = ", pd)
print("pd type = ", typemap[pd], " ", type(typemap[pd]))
# Get the types of each parameter.
param_types = [typemap[v] for v in parfor_params]
# Calculate types of args passed to gufunc.
func_arg_types = [
typemap[v] for v in (parfor_inputs + parfor_outputs)
] + parfor_red_arg_types
# Replace illegal parameter names in the loop body with legal ones.
replace_var_names(loop_body, param_dict)
# remember the name before legalizing as the actual arguments
parfor_args = parfor_params
# Change parfor_params to be legal names.
parfor_params = [param_dict[v] for v in parfor_params]
parfor_params_orig = parfor_params
parfor_params = []
ascontig = False
for pindex in range(len(parfor_params_orig)):
if (
ascontig
and pindex < len(parfor_inputs)
and isinstance(param_types[pindex], types.npytypes.Array)
):
parfor_params.append(parfor_params_orig[pindex] + "param")
else:
parfor_params.append(parfor_params_orig[pindex])
# Change parfor body to replace illegal loop index vars with legal ones.
replace_var_names(loop_body, ind_dict)
loop_body_var_table = get_name_var_table(loop_body)
sentinel_name = get_unused_var_name("__sentinel__", loop_body_var_table)
if config.DEBUG_ARRAY_OPT >= 1:
print("legal parfor_params = ", parfor_params, " ", type(parfor_params))
# Determine the unique names of the scheduling and gufunc functions.
# sched_func_name = "__numba_parfor_sched_%s" % (hex(hash(parfor)).replace("-", "_"))
gufunc_name = "__numba_parfor_gufunc_%s" % (hex(hash(parfor)).replace("-", "_"))
if config.DEBUG_ARRAY_OPT:
# print("sched_func_name ", type(sched_func_name), " ", sched_func_name)
print("gufunc_name ", type(gufunc_name), " ", gufunc_name)
gufunc_txt = ""
# Create the gufunc function.
gufunc_txt += (
"def " + gufunc_name + "(sched, " + (", ".join(parfor_params)) + "):\n"
)
for pindex in range(len(parfor_inputs)):
if ascontig and isinstance(param_types[pindex], types.npytypes.Array):
gufunc_txt += (
" "
+ parfor_params_orig[pindex]
+ " = np.ascontiguousarray("
+ parfor_params[pindex]
+ ")\n"
)
# Add initialization of reduction variables
for arr, var in zip(parfor_redarrs, parfor_redvars):
# If reduction variable is a scalar then save current value to
# temp and accumulate on that temp to prevent false sharing.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[var] + "=" + param_dict[arr] + "[0]\n"
else:
# The reduction variable is an array so np.copy it to a temp.
gufunc_txt += (
" " + param_dict[var] + "=np.copy(" + param_dict[arr] + ")\n"
)
# For each dimension of the parfor, create a for loop in the generated gufunc function.
# Iterate across the proper values extracted from the schedule.
# The form of the schedule is start_dim0, start_dim1, ..., start_dimN, end_dim0,
# end_dim1, ..., end_dimN
for eachdim in range(parfor_dim):
for indent in range(eachdim + 1):
gufunc_txt += " "
sched_dim = eachdim
gufunc_txt += (
"for "
+ legal_loop_indices[eachdim]
+ " in range(sched["
+ str(sched_dim)
+ "], sched["
+ str(sched_dim + parfor_dim)
+ "] + np.uint8(1)):\n"
)
if config.DEBUG_ARRAY_OPT_RUNTIME:
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += "print("
for eachdim in range(parfor_dim):
gufunc_txt += (
'"'
+ legal_loop_indices[eachdim]
+ '",'
+ legal_loop_indices[eachdim]
+ ","
)
gufunc_txt += ")\n"
# Add the sentinel assignment so that we can find the loop body position
# in the IR.
for indent in range(parfor_dim + 1):
gufunc_txt += " "
gufunc_txt += sentinel_name + " = 0\n"
# Add assignments of reduction variables (for returning the value)
redargstartdim = {}
for arr, var in zip(parfor_redarrs, parfor_redvars):
# After the gufunc loops, copy the accumulated temp value back to reduction array.
if redtyp_is_scalar(typemap[var]):
gufunc_txt += " " + param_dict[arr] + "[0] = " + param_dict[var] + "\n"
redargstartdim[arr] = 1
else:
# After the gufunc loops, copy the accumulated temp array back to reduction array with ":"
gufunc_txt += (
" " + param_dict[arr] + "[:] = " + param_dict[var] + "[:]\n"
)
redargstartdim[arr] = 0
gufunc_txt += " return None\n"
if config.DEBUG_ARRAY_OPT:
print("gufunc_txt = ", type(gufunc_txt), "\n", gufunc_txt)
# Force gufunc outline into existence.
globls = {"np": np}
locls = {}
exec_(gufunc_txt, globls, locls)
gufunc_func = locls[gufunc_name]
if config.DEBUG_ARRAY_OPT:
print("gufunc_func = ", type(gufunc_func), "\n", gufunc_func)
# Get the IR for the gufunc outline.
gufunc_ir = compiler.run_frontend(gufunc_func)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump ", type(gufunc_ir))
gufunc_ir.dump()
print("loop_body dump ", type(loop_body))
_print_body(loop_body)
# rename all variables in gufunc_ir afresh
var_table = get_name_var_table(gufunc_ir.blocks)
new_var_dict = {}
reserved_names = [sentinel_name] + list(param_dict.values()) + legal_loop_indices
for name, var in var_table.items():
if not (name in reserved_names):
new_var_dict[name] = mk_unique_var(name)
replace_var_names(gufunc_ir.blocks, new_var_dict)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir dump after renaming ")
gufunc_ir.dump()
gufunc_param_types = [
numba.types.npytypes.Array(index_var_typ, 1, "C")
] + param_types
if config.DEBUG_ARRAY_OPT:
print(
"gufunc_param_types = ", type(gufunc_param_types), "\n", gufunc_param_types
)
gufunc_stub_last_label = max(gufunc_ir.blocks.keys()) + 1
# Add gufunc stub last label to each parfor.loop_body label to prevent
# label conflicts.
loop_body = add_offset_to_labels(loop_body, gufunc_stub_last_label)
# new label for splitting sentinel block
new_label = max(loop_body.keys()) + 1
# If enabled, add a print statement after every assignment.
if config.DEBUG_ARRAY_OPT_RUNTIME:
for label, block in loop_body.items():
new_block = block.copy()
new_block.clear()
loc = block.loc
scope = block.scope
for inst in block.body:
new_block.append(inst)
# Append print after assignment
if isinstance(inst, ir.Assign):
# Only apply to numbers
if typemap[inst.target.name] not in types.number_domain:
continue
# Make constant string
strval = "{} =".format(inst.target.name)
strconsttyp = types.StringLiteral(strval)
lhs = ir.Var(scope, mk_unique_var("str_const"), loc)
assign_lhs = ir.Assign(
value=ir.Const(value=strval, loc=loc), target=lhs, loc=loc
)
typemap[lhs.name] = strconsttyp
new_block.append(assign_lhs)
# Make print node
print_node = ir.Print(args=[lhs, inst.target], vararg=None, loc=loc)
new_block.append(print_node)
sig = numba.typing.signature(
types.none, typemap[lhs.name], typemap[inst.target.name]
)
lowerer.fndesc.calltypes[print_node] = sig
loop_body[label] = new_block
if config.DEBUG_ARRAY_OPT:
print("parfor loop body")
_print_body(loop_body)
wrapped_blocks = wrap_loop_body(loop_body)
hoisted, not_hoisted = hoist(parfor_params, loop_body, typemap, wrapped_blocks)
start_block = gufunc_ir.blocks[min(gufunc_ir.blocks.keys())]
start_block.body = start_block.body[:-1] + hoisted + [start_block.body[-1]]
unwrap_loop_body(loop_body)
# store hoisted into diagnostics
diagnostics = lowerer.metadata["parfor_diagnostics"]
diagnostics.hoist_info[parfor.id] = {"hoisted": hoisted, "not_hoisted": not_hoisted}
if config.DEBUG_ARRAY_OPT:
print("After hoisting")
_print_body(loop_body)
# Search all the block in the gufunc outline for the sentinel assignment.
for label, block in gufunc_ir.blocks.items():
for i, inst in enumerate(block.body):
if isinstance(inst, ir.Assign) and inst.target.name == sentinel_name:
# We found the sentinel assignment.
loc = inst.loc
scope = block.scope
# split block across __sentinel__
# A new block is allocated for the statements prior to the sentinel
# but the new block maintains the current block label.
prev_block = ir.Block(scope, loc)
prev_block.body = block.body[:i]
# The current block is used for statements after the sentinel.
block.body = block.body[i + 1 :]
# But the current block gets a new label.
body_first_label = min(loop_body.keys())
# The previous block jumps to the minimum labelled block of the
# parfor body.
prev_block.append(ir.Jump(body_first_label, loc))
# Add all the parfor loop body blocks to the gufunc function's
# IR.
for l, b in loop_body.items():
gufunc_ir.blocks[l] = b
body_last_label = max(loop_body.keys())
gufunc_ir.blocks[new_label] = block
gufunc_ir.blocks[label] = prev_block
# Add a jump from the last parfor body block to the block containing
# statements after the sentinel.
gufunc_ir.blocks[body_last_label].append(ir.Jump(new_label, loc))
break
else:
continue
break
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump before renaming")
gufunc_ir.dump()
gufunc_ir.blocks = rename_labels(gufunc_ir.blocks)
remove_dels(gufunc_ir.blocks)
if config.DEBUG_ARRAY_OPT:
print("gufunc_ir last dump")
gufunc_ir.dump()
print("flags", flags)
print("typemap", typemap)
old_alias = flags.noalias
if not has_aliases:
if config.DEBUG_ARRAY_OPT:
print("No aliases found so adding noalias flag.")
flags.noalias = True
kernel_func = compiler.compile_ir(
typingctx, targetctx, gufunc_ir, gufunc_param_types, types.none, flags, locals
)
flags.noalias = old_alias
kernel_sig = signature(types.none, *gufunc_param_types)
if config.DEBUG_ARRAY_OPT:
print("kernel_sig = ", kernel_sig)
return kernel_func, parfor_args, kernel_sig, redargstartdim, func_arg_types
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def min_parallel_impl(return_type, arg):
# XXX: use prange for 1D arrays since pndindex returns a 1-tuple instead of
# integer. This causes type and fusion issues.
if arg.ndim == 0:
def min_1(in_arr):
return in_arr[()]
elif arg.ndim == 1:
def min_1(in_arr):
numba.parfor.init_prange()
min_checker(len(in_arr))
val = numba.targets.builtins.get_type_max_value(in_arr.dtype)
for i in numba.parfor.internal_prange(len(in_arr)):
val = min(val, in_arr[i])
return val
else:
def min_1(in_arr):
numba.parfor.init_prange()
min_checker(len(in_arr))
val = numba.targets.builtins.get_type_max_value(in_arr.dtype)
for i in numba.pndindex(in_arr.shape):
val = min(val, in_arr[i])
return val
return min_1
|
def min_parallel_impl(return_type, arg):
# XXX: use prange for 1D arrays since pndindex returns a 1-tuple instead of
# integer. This causes type and fusion issues.
if arg.ndim == 1:
def min_1(in_arr):
numba.parfor.init_prange()
min_checker(len(in_arr))
val = numba.targets.builtins.get_type_max_value(in_arr.dtype)
for i in numba.parfor.internal_prange(len(in_arr)):
val = min(val, in_arr[i])
return val
else:
def min_1(in_arr):
numba.parfor.init_prange()
min_checker(len(in_arr))
val = numba.targets.builtins.get_type_max_value(in_arr.dtype)
for i in numba.pndindex(in_arr.shape):
val = min(val, in_arr[i])
return val
return min_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def max_parallel_impl(return_type, arg):
if arg.ndim == 0:
def max_1(in_arr):
return in_arr[()]
elif arg.ndim == 1:
def max_1(in_arr):
numba.parfor.init_prange()
max_checker(len(in_arr))
val = numba.targets.builtins.get_type_min_value(in_arr.dtype)
for i in numba.parfor.internal_prange(len(in_arr)):
val = max(val, in_arr[i])
return val
else:
def max_1(in_arr):
numba.parfor.init_prange()
max_checker(len(in_arr))
val = numba.targets.builtins.get_type_min_value(in_arr.dtype)
for i in numba.pndindex(in_arr.shape):
val = max(val, in_arr[i])
return val
return max_1
|
def max_parallel_impl(return_type, arg):
if arg.ndim == 1:
def max_1(in_arr):
numba.parfor.init_prange()
max_checker(len(in_arr))
val = numba.targets.builtins.get_type_min_value(in_arr.dtype)
for i in numba.parfor.internal_prange(len(in_arr)):
val = max(val, in_arr[i])
return val
else:
def max_1(in_arr):
numba.parfor.init_prange()
max_checker(len(in_arr))
val = numba.targets.builtins.get_type_min_value(in_arr.dtype)
for i in numba.pndindex(in_arr.shape):
val = max(val, in_arr[i])
return val
return max_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def sum_parallel_impl(return_type, arg):
zero = return_type(0)
if arg.ndim == 0:
def sum_1(in_arr):
return in_arr[()]
elif arg.ndim == 1:
def sum_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.parfor.internal_prange(len(in_arr)):
val += in_arr[i]
return val
else:
def sum_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.pndindex(in_arr.shape):
val += in_arr[i]
return val
return sum_1
|
def sum_parallel_impl(return_type, arg):
zero = return_type(0)
if arg.ndim == 1:
def sum_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.parfor.internal_prange(len(in_arr)):
val += in_arr[i]
return val
else:
def sum_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.pndindex(in_arr.shape):
val += in_arr[i]
return val
return sum_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def prod_parallel_impl(return_type, arg):
one = return_type(1)
if arg.ndim == 0:
def prod_1(in_arr):
return in_arr[()]
elif arg.ndim == 1:
def prod_1(in_arr):
numba.parfor.init_prange()
val = one
for i in numba.parfor.internal_prange(len(in_arr)):
val *= in_arr[i]
return val
else:
def prod_1(in_arr):
numba.parfor.init_prange()
val = one
for i in numba.pndindex(in_arr.shape):
val *= in_arr[i]
return val
return prod_1
|
def prod_parallel_impl(return_type, arg):
one = return_type(1)
if arg.ndim == 1:
def prod_1(in_arr):
numba.parfor.init_prange()
val = one
for i in numba.parfor.internal_prange(len(in_arr)):
val *= in_arr[i]
return val
else:
def prod_1(in_arr):
numba.parfor.init_prange()
val = one
for i in numba.pndindex(in_arr.shape):
val *= in_arr[i]
return val
return prod_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def mean_parallel_impl(return_type, arg):
# can't reuse sum since output type is different
zero = return_type(0)
if arg.ndim == 0:
def mean_1(in_arr):
return in_arr[()]
elif arg.ndim == 1:
def mean_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.parfor.internal_prange(len(in_arr)):
val += in_arr[i]
return val / len(in_arr)
else:
def mean_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.pndindex(in_arr.shape):
val += in_arr[i]
return val / in_arr.size
return mean_1
|
def mean_parallel_impl(return_type, arg):
# can't reuse sum since output type is different
zero = return_type(0)
if arg.ndim == 1:
def mean_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.parfor.internal_prange(len(in_arr)):
val += in_arr[i]
return val / len(in_arr)
else:
def mean_1(in_arr):
numba.parfor.init_prange()
val = zero
for i in numba.pndindex(in_arr.shape):
val += in_arr[i]
return val / in_arr.size
return mean_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def var_parallel_impl(return_type, arg):
if arg.ndim == 0:
def var_1(in_arr):
return 0
elif arg.ndim == 1:
def var_1(in_arr):
# Compute the mean
m = in_arr.mean()
# Compute the sum of square diffs
numba.parfor.init_prange()
ssd = 0
for i in numba.parfor.internal_prange(len(in_arr)):
val = in_arr[i] - m
ssd += np.real(val * np.conj(val))
return ssd / len(in_arr)
else:
def var_1(in_arr):
# Compute the mean
m = in_arr.mean()
# Compute the sum of square diffs
numba.parfor.init_prange()
ssd = 0
for i in numba.pndindex(in_arr.shape):
val = in_arr[i] - m
ssd += np.real(val * np.conj(val))
return ssd / in_arr.size
return var_1
|
def var_parallel_impl(return_type, arg):
if arg.ndim == 1:
def var_1(in_arr):
# Compute the mean
m = in_arr.mean()
# Compute the sum of square diffs
numba.parfor.init_prange()
ssd = 0
for i in numba.parfor.internal_prange(len(in_arr)):
val = in_arr[i] - m
ssd += np.real(val * np.conj(val))
return ssd / len(in_arr)
else:
def var_1(in_arr):
# Compute the mean
m = in_arr.mean()
# Compute the sum of square diffs
numba.parfor.init_prange()
ssd = 0
for i in numba.pndindex(in_arr.shape):
val = in_arr[i] - m
ssd += np.real(val * np.conj(val))
return ssd / in_arr.size
return var_1
|
https://github.com/numba/numba/issues/4748
|
Traceback (most recent call last):
File "<ipython-input-101-c2c55c205bd8>", line 1, in <module>
runfile('C:/Users/rpham/Desktop/FIN_Library/test.py', wdir='C:/Users/rpham/Desktop/FIN_Library')
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\rpham\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rpham/Desktop/FIN_Library/test.py", line 19, in <module>
result = fama_macbeth_numba(df,'period','ret',['exmkt','smb','hml'],intercept=True,parallel=True)
File "C:\Users\rpham\Desktop\FIN_Library\finance_byu\fama_macbeth.py", line 202, in fama_macbeth_numba
gammas = _ols_numba_parallel(d,ti,np.array(yvari),np.array(xvari))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 370, in _compile_for_args
raise e
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 327, in _compile_for_args
return self.compile(tuple(argtypes))
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 659, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 955, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 377, in compile_extra
return self._compile_bytecode()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 886, in _compile_bytecode
return self._compile_core()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 873, in _compile_core
res = pm.run(self.status)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 254, in run
raise patched_exception
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 245, in run
stage()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\compiler.py", line 565, in stage_parfor_pass
parfor_pass.run()
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\parfor.py", line 1448, in run
self.array_analysis.run(self.func_ir.blocks)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 916, in run
pre, post = self._analyze_inst(label, scope, equiv_set, inst)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 987, in _analyze_inst
equiv_set.insert_equiv(lhs, shape)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in insert_equiv
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 445, in <listcomp>
obj_names = [self._get_names(x) for x in objs]
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in _get_names
return tuple(self._get_names(x)[0] for x in obj)
File "C:\Users\rpham\Anaconda3\lib\site-packages\numba\array_analysis.py", line 363, in <genexpr>
return tuple(self._get_names(x)[0] for x in obj)
IndexError: Failed in nopython mode pipeline (step: convert to parfors)
tuple index out of range
|
IndexError
|
def get_call_table(
blocks, call_table=None, reverse_call_table=None, topological_ordering=True
):
"""returns a dictionary of call variables and their references."""
# call_table example: c = np.zeros becomes c:["zeroes", np]
# reverse_call_table example: c = np.zeros becomes np_var:c
if call_table is None:
call_table = {}
if reverse_call_table is None:
reverse_call_table = {}
if topological_ordering:
order = find_topo_order(blocks)
else:
order = list(blocks.keys())
for label in reversed(order):
for inst in reversed(blocks[label].body):
if isinstance(inst, ir.Assign):
lhs = inst.target.name
rhs = inst.value
if isinstance(rhs, ir.Expr) and rhs.op == "call":
call_table[rhs.func.name] = []
if isinstance(rhs, ir.Expr) and rhs.op == "getattr":
if lhs in call_table:
call_table[lhs].append(rhs.attr)
reverse_call_table[rhs.value.name] = lhs
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.attr)
reverse_call_table[rhs.value.name] = call_var
if isinstance(rhs, ir.Global):
if lhs in call_table:
call_table[lhs].append(rhs.value)
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.value)
if isinstance(rhs, ir.FreeVar):
if lhs in call_table:
call_table[lhs].append(rhs.value)
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.value)
if isinstance(rhs, ir.Var):
if lhs in call_table:
call_table[lhs].append(rhs.name)
reverse_call_table[rhs.name] = lhs
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.name)
for T, f in call_table_extensions.items():
if isinstance(inst, T):
f(inst, call_table, reverse_call_table)
return call_table, reverse_call_table
|
def get_call_table(
blocks, call_table=None, reverse_call_table=None, topological_ordering=True
):
"""returns a dictionary of call variables and their references."""
# call_table example: c = np.zeros becomes c:["zeroes", np]
# reverse_call_table example: c = np.zeros becomes np_var:c
if call_table is None:
call_table = {}
if reverse_call_table is None:
reverse_call_table = {}
if topological_ordering:
order = find_topo_order(blocks)
else:
order = list(blocks.keys())
for label in reversed(order):
for inst in reversed(blocks[label].body):
if isinstance(inst, ir.Assign):
lhs = inst.target.name
rhs = inst.value
if isinstance(rhs, ir.Expr) and rhs.op == "call":
call_table[rhs.func.name] = []
if isinstance(rhs, ir.Expr) and rhs.op == "getattr":
if lhs in call_table:
call_table[lhs].append(rhs.attr)
reverse_call_table[rhs.value.name] = lhs
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.attr)
reverse_call_table[rhs.value.name] = call_var
if isinstance(rhs, ir.Global):
if lhs in call_table:
call_table[lhs].append(rhs.value)
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.value)
if isinstance(rhs, ir.FreeVar):
if lhs in call_table:
call_table[lhs].append(rhs.value)
if lhs in reverse_call_table:
call_var = reverse_call_table[lhs]
call_table[call_var].append(rhs.value)
for T, f in call_table_extensions.items():
if isinstance(inst, T):
f(inst, call_table, reverse_call_table)
return call_table, reverse_call_table
|
https://github.com/numba/numba/issues/4696
|
## run this:
```python
@njit(parallel=True)
def stencil_test2(A):
@stencil
def fun (a):
c = 2
return 0.3 * (a[-c+1] + a[0] + a[c-1])
B = fun(A)
return B
stencil_test2(np.arange(10))
```
## see this:
```python
/Users/bennettd/miniconda3/lib/python3.7/site-packages/numba/compiler.py:602: NumbaPerformanceWarning:
The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.
To find out why, try turning on parallel diagnostics, see http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.
File "<ipython-input-575-2412dcac74fb>", line 2:
@njit(parallel=True)
def stencil_test2(A):
^
self.func_ir.loc))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/miniconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
300 ty = self.typeof(inst.target.name)
--> 301 val = self.lower_assign(ty, inst)
302 self.storevar(val, inst.target.name)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_assign(self, ty, inst)
458 elif isinstance(value, ir.Expr):
--> 459 return self.lower_expr(ty, value)
460
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_expr(self, resty, expr)
918 elif expr.op == 'call':
--> 919 res = self.lower_call(resty, expr)
920 return res
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_call(self, resty, expr)
710 else:
--> 711 res = self._lower_call_normal(fnty, expr, signature)
712
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in _lower_call_normal(self, fnty, expr, signature)
889
--> 890 res = impl(self.builder, argvals, self.loc)
891 return res
~/miniconda3/lib/python3.7/site-packages/numba/targets/base.py in __call__(self, builder, args, loc)
1131 def __call__(self, builder, args, loc=None):
-> 1132 res = self._imp(self._context, builder, self._sig, args, loc=loc)
1133 self._context.add_linking_libs(getattr(self, 'libs', ()))
~/miniconda3/lib/python3.7/site-packages/numba/targets/base.py in wrapper(*args, **kwargs)
1156 kwargs.pop('loc') # drop unused loc
-> 1157 return fn(*args, **kwargs)
1158
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in __call__(self, context, builder, sig, args)
30 cres = self.stencilFunc.compile_for_argtys(sig.args, {},
---> 31 sig.return_type, None)
32 res = context.call_internal(builder, cres.fndesc, sig, args)
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in compile_for_argtys(self, argtys, kwtys, return_type, sigret)
362 new_func = self._stencil_wrapper(result, sigret, return_type,
--> 363 typemap, calltypes, *argtys)
364 return new_func
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in _stencil_wrapper(self, result, sigret, return_type, typemap, calltypes, *args)
522 kernel_copy, index_vars, the_array.ndim,
--> 523 self.neighborhood, standard_indexed, typemap, copy_calltypes)
524 if self.neighborhood is None:
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in add_indices_to_kernel(self, kernel, index_names, ndim, neighborhood, standard_indexed, typemap, calltypes)
194 else:
--> 195 raise ValueError("stencil kernel index is not "
196 "constant, 'neighborhood' option required")
ValueError: stencil kernel index is not constant, 'neighborhood' option required
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-575-2412dcac74fb> in <module>
7 B = fun(A)
8 return B
----> 9 stencil_test2(np.arange(10))
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
~/miniconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
stencil kernel index is not constant, 'neighborhood' option required
File "<ipython-input-575-2412dcac74fb>", line 7:
def fun (a):
<source elided>
return 0.3 * (a[-c+1] + a[0] + a[c-1])
B = fun(A)
^
[1] During: lowering "$B.9417 = call $fun.9416(A, func=$fun.9416, args=[Var(A, <ipython-input-575-2412dcac74fb> (3))], kws=(), vararg=None)" at <ipython-input-575-2412dcac74fb> (7)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
```
|
ValueError
|
def run(self):
"""Finds all calls to StencilFuncs in the IR and converts them to parfor."""
from numba.stencil import StencilFunc
# Get all the calls in the function IR.
call_table, _ = get_call_table(self.func_ir.blocks)
stencil_calls = []
stencil_dict = {}
for call_varname, call_list in call_table.items():
for one_call in call_list:
if isinstance(one_call, StencilFunc):
# Remember all calls to StencilFuncs.
stencil_calls.append(call_varname)
stencil_dict[call_varname] = one_call
if not stencil_calls:
return # return early if no stencil calls found
# find and transform stencil calls
for label, block in self.func_ir.blocks.items():
for i, stmt in reversed(list(enumerate(block.body))):
# Found a call to a StencilFunc.
if (
isinstance(stmt, ir.Assign)
and isinstance(stmt.value, ir.Expr)
and stmt.value.op == "call"
and stmt.value.func.name in stencil_calls
):
kws = dict(stmt.value.kws)
# Create dictionary of input argument number to
# the argument itself.
input_dict = {
i: stmt.value.args[i] for i in range(len(stmt.value.args))
}
in_args = stmt.value.args
arg_typemap = tuple(self.typemap[i.name] for i in in_args)
for arg_type in arg_typemap:
if isinstance(arg_type, types.BaseTuple):
raise ValueError(
"Tuple parameters not supported "
"for stencil kernels in parallel=True mode."
)
out_arr = kws.get("out")
# Get the StencilFunc object corresponding to this call.
sf = stencil_dict[stmt.value.func.name]
stencil_ir, rt, arg_to_arr_dict = get_stencil_ir(
sf,
self.typingctx,
arg_typemap,
block.scope,
block.loc,
input_dict,
self.typemap,
self.calltypes,
)
index_offsets = sf.options.get("index_offsets", None)
gen_nodes = self._mk_stencil_parfor(
label,
in_args,
out_arr,
stencil_ir,
index_offsets,
stmt.target,
rt,
sf,
arg_to_arr_dict,
)
block.body = block.body[:i] + gen_nodes + block.body[i + 1 :]
# Found a call to a stencil via numba.stencil().
elif (
isinstance(stmt, ir.Assign)
and isinstance(stmt.value, ir.Expr)
and stmt.value.op == "call"
and guard(find_callname, self.func_ir, stmt.value)
== ("stencil", "numba")
):
# remove dummy stencil() call
stmt.value = ir.Const(0, stmt.loc)
|
def run(self):
"""Finds all calls to StencilFuncs in the IR and converts them to parfor."""
from numba.stencil import StencilFunc
# Get all the calls in the function IR.
call_table, _ = get_call_table(self.func_ir.blocks)
stencil_calls = []
stencil_dict = {}
for call_varname, call_list in call_table.items():
if len(call_list) == 1 and isinstance(call_list[0], StencilFunc):
# Remember all calls to StencilFuncs.
stencil_calls.append(call_varname)
stencil_dict[call_varname] = call_list[0]
if not stencil_calls:
return # return early if no stencil calls found
# find and transform stencil calls
for label, block in self.func_ir.blocks.items():
for i, stmt in reversed(list(enumerate(block.body))):
# Found a call to a StencilFunc.
if (
isinstance(stmt, ir.Assign)
and isinstance(stmt.value, ir.Expr)
and stmt.value.op == "call"
and stmt.value.func.name in stencil_calls
):
kws = dict(stmt.value.kws)
# Create dictionary of input argument number to
# the argument itself.
input_dict = {
i: stmt.value.args[i] for i in range(len(stmt.value.args))
}
in_args = stmt.value.args
arg_typemap = tuple(self.typemap[i.name] for i in in_args)
for arg_type in arg_typemap:
if isinstance(arg_type, types.BaseTuple):
raise ValueError(
"Tuple parameters not supported "
"for stencil kernels in parallel=True mode."
)
out_arr = kws.get("out")
# Get the StencilFunc object corresponding to this call.
sf = stencil_dict[stmt.value.func.name]
stencil_ir, rt, arg_to_arr_dict = get_stencil_ir(
sf,
self.typingctx,
arg_typemap,
block.scope,
block.loc,
input_dict,
self.typemap,
self.calltypes,
)
index_offsets = sf.options.get("index_offsets", None)
gen_nodes = self._mk_stencil_parfor(
label,
in_args,
out_arr,
stencil_ir,
index_offsets,
stmt.target,
rt,
sf,
arg_to_arr_dict,
)
block.body = block.body[:i] + gen_nodes + block.body[i + 1 :]
# Found a call to a stencil via numba.stencil().
elif (
isinstance(stmt, ir.Assign)
and isinstance(stmt.value, ir.Expr)
and stmt.value.op == "call"
and guard(find_callname, self.func_ir, stmt.value)
== ("stencil", "numba")
):
# remove dummy stencil() call
stmt.value = ir.Const(0, stmt.loc)
|
https://github.com/numba/numba/issues/4696
|
## run this:
```python
@njit(parallel=True)
def stencil_test2(A):
@stencil
def fun (a):
c = 2
return 0.3 * (a[-c+1] + a[0] + a[c-1])
B = fun(A)
return B
stencil_test2(np.arange(10))
```
## see this:
```python
/Users/bennettd/miniconda3/lib/python3.7/site-packages/numba/compiler.py:602: NumbaPerformanceWarning:
The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.
To find out why, try turning on parallel diagnostics, see http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.
File "<ipython-input-575-2412dcac74fb>", line 2:
@njit(parallel=True)
def stencil_test2(A):
^
self.func_ir.loc))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/miniconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_inst(self, inst)
300 ty = self.typeof(inst.target.name)
--> 301 val = self.lower_assign(ty, inst)
302 self.storevar(val, inst.target.name)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_assign(self, ty, inst)
458 elif isinstance(value, ir.Expr):
--> 459 return self.lower_expr(ty, value)
460
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_expr(self, resty, expr)
918 elif expr.op == 'call':
--> 919 res = self.lower_call(resty, expr)
920 return res
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_call(self, resty, expr)
710 else:
--> 711 res = self._lower_call_normal(fnty, expr, signature)
712
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in _lower_call_normal(self, fnty, expr, signature)
889
--> 890 res = impl(self.builder, argvals, self.loc)
891 return res
~/miniconda3/lib/python3.7/site-packages/numba/targets/base.py in __call__(self, builder, args, loc)
1131 def __call__(self, builder, args, loc=None):
-> 1132 res = self._imp(self._context, builder, self._sig, args, loc=loc)
1133 self._context.add_linking_libs(getattr(self, 'libs', ()))
~/miniconda3/lib/python3.7/site-packages/numba/targets/base.py in wrapper(*args, **kwargs)
1156 kwargs.pop('loc') # drop unused loc
-> 1157 return fn(*args, **kwargs)
1158
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in __call__(self, context, builder, sig, args)
30 cres = self.stencilFunc.compile_for_argtys(sig.args, {},
---> 31 sig.return_type, None)
32 res = context.call_internal(builder, cres.fndesc, sig, args)
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in compile_for_argtys(self, argtys, kwtys, return_type, sigret)
362 new_func = self._stencil_wrapper(result, sigret, return_type,
--> 363 typemap, calltypes, *argtys)
364 return new_func
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in _stencil_wrapper(self, result, sigret, return_type, typemap, calltypes, *args)
522 kernel_copy, index_vars, the_array.ndim,
--> 523 self.neighborhood, standard_indexed, typemap, copy_calltypes)
524 if self.neighborhood is None:
~/miniconda3/lib/python3.7/site-packages/numba/stencil.py in add_indices_to_kernel(self, kernel, index_names, ndim, neighborhood, standard_indexed, typemap, calltypes)
194 else:
--> 195 raise ValueError("stencil kernel index is not "
196 "constant, 'neighborhood' option required")
ValueError: stencil kernel index is not constant, 'neighborhood' option required
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-575-2412dcac74fb> in <module>
7 B = fun(A)
8 return B
----> 9 stencil_test2(np.arange(10))
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e
~/miniconda3/lib/python3.7/site-packages/numba/dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):
~/miniconda3/lib/python3.7/site-packages/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
~/miniconda3/lib/python3.7/site-packages/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
~/miniconda3/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
~/miniconda3/lib/python3.7/site-packages/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672
~/miniconda3/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
stencil kernel index is not constant, 'neighborhood' option required
File "<ipython-input-575-2412dcac74fb>", line 7:
def fun (a):
<source elided>
return 0.3 * (a[-c+1] + a[0] + a[c-1])
B = fun(A)
^
[1] During: lowering "$B.9417 = call $fun.9416(A, func=$fun.9416, args=[Var(A, <ipython-input-575-2412dcac74fb> (3))], kws=(), vararg=None)" at <ipython-input-575-2412dcac74fb> (7)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.
Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new
If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba
Thanks in advance for your help in improving Numba!
```
|
ValueError
|
def __getitem__(self, item):
if isinstance(item, slice):
start, stop, step = item.indices(self.size)
stride = step * self.stride
start = self.start + start * abs(self.stride)
stop = self.start + stop * abs(self.stride)
if stride == 0:
size = 1
else:
size = _compute_size(start, stop, stride)
ret = Dim(start=start, stop=stop, size=size, stride=stride, single=False)
return ret
else:
sliced = self[item : item + 1]
if sliced.size != 1:
raise IndexError
return Dim(
start=sliced.start,
stop=sliced.stop,
size=sliced.size,
stride=sliced.stride,
single=True,
)
|
def __getitem__(self, item):
if isinstance(item, slice):
start, stop, step = item.indices(self.size)
stride = step * self.stride
start = self.start + start * abs(self.stride)
stop = self.start + stop * abs(self.stride)
if stride == 0:
size = 1
else:
size = _compute_size(start, stop, stride)
ret = Dim(start=start, stop=stop, size=size, stride=stride, single=False)
return ret
else:
sliced = self[item : item + 1]
return Dim(
start=sliced.start,
stop=sliced.stop,
size=sliced.size,
stride=sliced.stride,
single=True,
)
|
https://github.com/numba/numba/issues/4201
|
from numba import cuda
a = cuda.device_array((5,))
a[:] = range(5)
# this throws an AssertionError
... for v in a:
... print(v)
...
0.0
1.0
2.0
3.0
4.0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/cuda/cudadrv/devices.py", line 212, in _require_cuda_context
return fn(*args, **kws)
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/cuda/cudadrv/devicearray.py", line 479, in __getitem__
return self._do_getitem(item)
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/cuda/cudadrv/devicearray.py", line 489, in _do_getitem
arr = self._dummy.__getitem__(item)
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/dummyarray.py", line 219, in __getitem__
dims = [dim.__getitem__(it) for dim, it in zip(self.dims, item)]
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/dummyarray.py", line 219, in <listcomp>
dims = [dim.__getitem__(it) for dim, it in zip(self.dims, item)]
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/dummyarray.py", line 78, in __getitem__
single=True,
File "/home/leofang/conda_envs/cupy_dev/lib/python3.6/site-packages/numba/dummyarray.py", line 51, in __init__
assert not single or size == 1
AssertionError
# but manually limiting the range works fine
... for i in range(5):
... print(a[i])
...
0.0
1.0
2.0
3.0
4.0
|
AssertionError
|
def __init__(self, py_func, identity=None, cache=False, targetoptions={}):
if isinstance(py_func, Dispatcher):
py_func = py_func.py_func
dispatcher = jit(target="npyufunc", cache=cache, **targetoptions)(py_func)
self._initialize(dispatcher, identity)
|
def __init__(self, py_func, identity=None, cache=False, targetoptions={}):
if isinstance(py_func, Dispatcher):
py_func = py_func.py_func
self.targetoptions = targetoptions.copy()
kws = {}
kws["identity"] = ufuncbuilder.parse_identity(identity)
dispatcher = jit(target="npyufunc", cache=cache)(py_func)
super(DUFunc, self).__init__(dispatcher, **kws)
# Loop over a copy of the keys instead of the keys themselves,
# since we're changing the dictionary while looping.
self._install_type()
self._lower_me = DUFuncLowerer(self)
self._install_cg()
self.__name__ = py_func.__name__
self.__doc__ = py_func.__doc__
|
https://github.com/numba/numba/issues/2943
|
<class 'numpy.ufunc'>
b'\x80\x03cnumpy.core\n_ufunc_reconstruct\nq\x00X\x0b\x00\x00\x00__mp_main__q\x01X\x04\x00\x00\x00inc2q\x02\x86q\x03Rq\x04.'
<class 'numba.npyufunc.dufunc.DUFunc'>
Traceback (most recent call last):
File "vectorize_pickle.py", line 15, in <module>
print(pickle.dumps(inc1))
TypeError: can't pickle DUFunc objects
|
TypeError
|
def _compile_core(self, sig, flags, locals):
"""
Trigger the compiler on the core function or load a previously
compiled version from the cache. Returns the CompileResult.
"""
typingctx = self.targetdescr.typing_context
targetctx = self.targetdescr.target_context
@contextmanager
def store_overloads_on_success():
# use to ensure overloads are stored on success
try:
yield
except Exception:
raise
else:
exists = self.overloads.get(cres.signature)
if exists is None:
self.overloads[cres.signature] = cres
# Use cache and compiler in a critical section
with global_compiler_lock:
with store_overloads_on_success():
# attempt look up of existing
cres = self.cache.load_overload(sig, targetctx)
if cres is not None:
return cres
# Compile
args, return_type = sigutils.normalize_signature(sig)
cres = compiler.compile_extra(
typingctx,
targetctx,
self.py_func,
args=args,
return_type=return_type,
flags=flags,
locals=locals,
)
# cache lookup failed before so safe to save
self.cache.save_overload(sig, cres)
return cres
|
def _compile_core(self, sig, flags, locals):
"""
Trigger the compiler on the core function or load a previously
compiled version from the cache. Returns the CompileResult.
"""
typingctx = self.targetdescr.typing_context
targetctx = self.targetdescr.target_context
@contextmanager
def store_overloads_on_success():
# use to ensure overloads are stored on success
try:
yield
except:
raise
else:
exists = self.overloads.get(cres.signature)
if exists is None:
self.overloads[cres.signature] = cres
# Use cache and compiler in a critical section
with global_compiler_lock:
with store_overloads_on_success():
# attempt look up of existing
cres = self.cache.load_overload(sig, targetctx)
if cres is not None:
return cres
# Compile
args, return_type = sigutils.normalize_signature(sig)
cres = compiler.compile_extra(
typingctx,
targetctx,
self.py_func,
args=args,
return_type=return_type,
flags=flags,
locals=locals,
)
# cache lookup failed before so safe to save
self.cache.save_overload(sig, cres)
return cres
|
https://github.com/numba/numba/issues/2943
|
<class 'numpy.ufunc'>
b'\x80\x03cnumpy.core\n_ufunc_reconstruct\nq\x00X\x0b\x00\x00\x00__mp_main__q\x01X\x04\x00\x00\x00inc2q\x02\x86q\x03Rq\x04.'
<class 'numba.npyufunc.dufunc.DUFunc'>
Traceback (most recent call last):
File "vectorize_pickle.py", line 15, in <module>
print(pickle.dumps(inc1))
TypeError: can't pickle DUFunc objects
|
TypeError
|
def store_overloads_on_success():
# use to ensure overloads are stored on success
try:
yield
except Exception:
raise
else:
exists = self.overloads.get(cres.signature)
if exists is None:
self.overloads[cres.signature] = cres
|
def store_overloads_on_success():
# use to ensure overloads are stored on success
try:
yield
except:
raise
else:
exists = self.overloads.get(cres.signature)
if exists is None:
self.overloads[cres.signature] = cres
|
https://github.com/numba/numba/issues/2943
|
<class 'numpy.ufunc'>
b'\x80\x03cnumpy.core\n_ufunc_reconstruct\nq\x00X\x0b\x00\x00\x00__mp_main__q\x01X\x04\x00\x00\x00inc2q\x02\x86q\x03Rq\x04.'
<class 'numba.npyufunc.dufunc.DUFunc'>
Traceback (most recent call last):
File "vectorize_pickle.py", line 15, in <module>
print(pickle.dumps(inc1))
TypeError: can't pickle DUFunc objects
|
TypeError
|
def build_ufunc(self):
with global_compiler_lock:
dtypelist = []
ptrlist = []
if not self.nb_func:
raise TypeError("No definition")
# Get signature in the order they are added
keepalive = []
cres = None
for sig in self._sigs:
cres = self._cres[sig]
dtypenums, ptr, env = self.build(cres, sig)
dtypelist.append(dtypenums)
ptrlist.append(utils.longint(ptr))
keepalive.append((cres.library, env))
datlist = [None] * len(ptrlist)
if cres is None:
if PYVERSION >= (3, 0):
argspec = inspect.getfullargspec(self.py_func)
else:
argspec = inspect.getargspec(self.py_func)
inct = len(argspec.args)
else:
inct = len(cres.signature.args)
outct = 1
# Becareful that fromfunc does not provide full error checking yet.
# If typenum is out-of-bound, we have nasty memory corruptions.
# For instance, -1 for typenum will cause segfault.
# If elements of type-list (2nd arg) is tuple instead,
# there will also memory corruption. (Seems like code rewrite.)
ufunc = _internal.fromfunc(
self.py_func.__name__,
self.py_func.__doc__,
ptrlist,
dtypelist,
inct,
outct,
datlist,
keepalive,
self.identity,
)
return ufunc
|
def build_ufunc(self):
with global_compiler_lock:
dtypelist = []
ptrlist = []
if not self.nb_func:
raise TypeError("No definition")
# Get signature in the order they are added
keepalive = []
cres = None
for sig in self._sigs:
cres = self._cres[sig]
dtypenums, ptr, env = self.build(cres, sig)
dtypelist.append(dtypenums)
ptrlist.append(utils.longint(ptr))
keepalive.append((cres.library, env))
datlist = [None] * len(ptrlist)
if cres is None:
if PYVERSION >= (3, 0):
argspec = inspect.getfullargspec(self.py_func)
else:
argspec = inspect.getargspec(self.py_func)
inct = len(argspec.args)
else:
inct = len(cres.signature.args)
outct = 1
# Becareful that fromfunc does not provide full error checking yet.
# If typenum is out-of-bound, we have nasty memory corruptions.
# For instance, -1 for typenum will cause segfault.
# If elements of type-list (2nd arg) is tuple instead,
# there will also memory corruption. (Seems like code rewrite.)
ufunc = _internal.fromfunc(
self.py_func.__name__,
self.py_func.__doc__,
ptrlist,
dtypelist,
inct,
outct,
datlist,
keepalive,
self.identity,
)
return ufunc
|
https://github.com/numba/numba/issues/2943
|
<class 'numpy.ufunc'>
b'\x80\x03cnumpy.core\n_ufunc_reconstruct\nq\x00X\x0b\x00\x00\x00__mp_main__q\x01X\x04\x00\x00\x00inc2q\x02\x86q\x03Rq\x04.'
<class 'numba.npyufunc.dufunc.DUFunc'>
Traceback (most recent call last):
File "vectorize_pickle.py", line 15, in <module>
print(pickle.dumps(inc1))
TypeError: can't pickle DUFunc objects
|
TypeError
|
def build_ufunc(self):
dtypelist = []
ptrlist = []
if not self.nb_func:
raise TypeError("No definition")
# Get signature in the order they are added
keepalive = []
for sig in self._sigs:
cres = self._cres[sig]
dtypenums, ptr, env = self.build(cres)
dtypelist.append(dtypenums)
ptrlist.append(utils.longint(ptr))
keepalive.append((cres.library, env))
datlist = [None] * len(ptrlist)
inct = len(self.sin)
outct = len(self.sout)
# Pass envs to fromfuncsig to bind to the lifetime of the ufunc object
ufunc = _internal.fromfunc(
self.py_func.__name__,
self.py_func.__doc__,
ptrlist,
dtypelist,
inct,
outct,
datlist,
keepalive,
self.identity,
self.signature,
)
return ufunc
|
def build_ufunc(self):
dtypelist = []
ptrlist = []
if not self.nb_func:
raise TypeError("No definition")
# Get signature in the order they are added
keepalive = []
for sig in self._sigs:
cres = self._cres[sig]
dtypenums, ptr, env = self.build(cres)
dtypelist.append(dtypenums)
ptrlist.append(utils.longint(ptr))
keepalive.append((cres.library, env))
datlist = [None] * len(ptrlist)
inct = len(self.sin)
outct = len(self.sout)
# Pass envs to fromfuncsig to bind to the lifetime of the ufunc object
ufunc = _internal.fromfunc(
self.py_func.__name__,
self.py_func.__doc__,
ptrlist,
dtypelist,
inct,
outct,
datlist,
keepalive,
self.identity,
self.signature,
)
return ufunc
|
https://github.com/numba/numba/issues/2943
|
<class 'numpy.ufunc'>
b'\x80\x03cnumpy.core\n_ufunc_reconstruct\nq\x00X\x0b\x00\x00\x00__mp_main__q\x01X\x04\x00\x00\x00inc2q\x02\x86q\x03Rq\x04.'
<class 'numba.npyufunc.dufunc.DUFunc'>
Traceback (most recent call last):
File "vectorize_pickle.py", line 15, in <module>
print(pickle.dumps(inc1))
TypeError: can't pickle DUFunc objects
|
TypeError
|
def _get_incref_decref(context, module, datamodel, container_type):
assert datamodel.contains_nrt_meminfo()
fe_type = datamodel.fe_type
data_ptr_ty = datamodel.get_data_type().as_pointer()
refct_fnty = ir.FunctionType(ir.VoidType(), [data_ptr_ty])
incref_fn = module.get_or_insert_function(
refct_fnty,
name=".numba_{}_incref${}".format(container_type, fe_type),
)
builder = ir.IRBuilder(incref_fn.append_basic_block())
context.nrt.incref(
builder,
fe_type,
datamodel.load_from_data_pointer(builder, incref_fn.args[0]),
)
builder.ret_void()
decref_fn = module.get_or_insert_function(
refct_fnty,
name=".numba_{}_decref${}".format(container_type, fe_type),
)
builder = ir.IRBuilder(decref_fn.append_basic_block())
context.nrt.decref(
builder,
fe_type,
datamodel.load_from_data_pointer(builder, decref_fn.args[0]),
)
builder.ret_void()
return incref_fn, decref_fn
|
def _get_incref_decref(context, module, datamodel, container_type):
assert datamodel.contains_nrt_meminfo()
fe_type = datamodel.fe_type
data_ptr_ty = datamodel.get_data_type().as_pointer()
refct_fnty = ir.FunctionType(ir.VoidType(), [data_ptr_ty])
incref_fn = module.get_or_insert_function(
refct_fnty,
name=".numba_{}_incref${}".format(container_type, fe_type),
)
builder = ir.IRBuilder(incref_fn.append_basic_block())
context.nrt.incref(builder, fe_type, builder.load(incref_fn.args[0]))
builder.ret_void()
decref_fn = module.get_or_insert_function(
refct_fnty,
name=".numba_{}_decref${}".format(container_type, fe_type),
)
builder = ir.IRBuilder(decref_fn.append_basic_block())
context.nrt.decref(builder, fe_type, builder.load(decref_fn.args[0]))
builder.ret_void()
return incref_fn, decref_fn
|
https://github.com/numba/numba/issues/4520
|
TypingError Traceback (most recent call last)
<ipython-input-45-d29ae2daf2f2> in <module>
----> 1 l = numba.typed.List.empty_list(numba.typeof((0.0, "hello", True)))
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/typed/typedlist.py in empty_list(cls, item_type)
149 of the list .
150 """
--> 151 return cls(lsttype=ListType(item_type))
152
153 def __init__(self, **kwargs):
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/typed/typedlist.py in __init__(self, **kwargs)
164 """
165 if kwargs:
--> 166 self._list_type, self._opaque = self._parse_arg(**kwargs)
167 else:
168 self._list_type = None
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/typed/typedlist.py in _parse_arg(self, lsttype, meminfo)
175 opaque = meminfo
176 else:
--> 177 opaque = _make_list(lsttype.item_type)
178 return lsttype, opaque
179
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
374 e.patch_message(msg)
375
--> 376 error_rewrite(e, 'typing')
377 except errors.UnsupportedError as e:
378 # Something unsupported is present in the user code, add help info
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/dispatcher.py in error_rewrite(e, issue_type)
341 raise e
342 else:
--> 343 reraise(type(e), e, None)
344
345 argtypes = []
/opt/anaconda/envs/test/lib/python3.7/site-packages/numba/six.py in reraise(tp, value, tb)
656 value = tp()
657 if value.__traceback__ is not tb:
--> 658 raise value.with_traceback(tb)
659 raise value
660
TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Invalid use of Function(<function new_list at 0x7f29d63d4510>) with argument(s) of type(s): (typeref[(unicode_type, bool)])
* parameterized
In definition 0:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
expecting {{i8*, i64, i32, i32, i64, i8*, i8*}, i1} but got {{i8*, i64, i32, i32, i64, i8*, i8*}, i8}
File "../../opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py", line 347:
def imp(item):
<source elided>
lp = _list_new(itemty)
_list_set_method_table(lp, itemty)
^
[1] During: lowering "$0.7 = call $0.4(lp, $0.6, func=$0.4, args=[Var(lp, /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (346)), Var($0.6, /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (347))], kws=(), vararg=None)" at /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (347)
raised from /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/six.py:659
In definition 1:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
expecting {{i8*, i64, i32, i32, i64, i8*, i8*}, i1} but got {{i8*, i64, i32, i32, i64, i8*, i8*}, i8}
File "../../opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py", line 347:
def imp(item):
<source elided>
lp = _list_new(itemty)
_list_set_method_table(lp, itemty)
^
[1] During: lowering "$0.7 = call $0.4(lp, $0.6, func=$0.4, args=[Var(lp, /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (346)), Var($0.6, /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (347))], kws=(), vararg=None)" at /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/listobject.py (347)
raised from /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/six.py:659
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(<function new_list at 0x7f29d63d4510>)
[2] During: typing of call at /opt/anaconda/envs/test/lib/python3.7/site-packages/numba/typed/typedlist.py (29)
|
TypingError
|
def unicode_find(a, b):
if isinstance(b, types.UnicodeType):
def find_impl(a, b):
return _find(substr=b, s=a)
return find_impl
if isinstance(b, types.UnicodeCharSeq):
def find_impl(a, b):
return a.find(str(b))
return find_impl
|
def unicode_find(a, b):
if isinstance(b, types.UnicodeType):
def find_impl(a, b):
return _find(substr=b, s=a)
return find_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def find_impl(a, b):
return a.find(str(b))
|
def find_impl(a, b):
return _find(substr=b, s=a)
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_startswith(a, b):
if isinstance(b, types.UnicodeType):
def startswith_impl(a, b):
return _cmp_region(a, 0, b, 0, len(b)) == 0
return startswith_impl
if isinstance(b, types.UnicodeCharSeq):
def startswith_impl(a, b):
return a.startswith(str(b))
return startswith_impl
|
def unicode_startswith(a, b):
if isinstance(b, types.UnicodeType):
def startswith_impl(a, b):
return _cmp_region(a, 0, b, 0, len(b)) == 0
return startswith_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def startswith_impl(a, b):
return a.startswith(str(b))
|
def startswith_impl(a, b):
return _cmp_region(a, 0, b, 0, len(b)) == 0
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_endswith(a, b):
if isinstance(b, types.UnicodeType):
def endswith_impl(a, b):
a_offset = len(a) - len(b)
if a_offset < 0:
return False
return _cmp_region(a, a_offset, b, 0, len(b)) == 0
return endswith_impl
if isinstance(b, types.UnicodeCharSeq):
def endswith_impl(a, b):
return a.endswith(str(b))
return endswith_impl
|
def unicode_endswith(a, b):
if isinstance(b, types.UnicodeType):
def endswith_impl(a, b):
a_offset = len(a) - len(b)
if a_offset < 0:
return False
return _cmp_region(a, a_offset, b, 0, len(b)) == 0
return endswith_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def endswith_impl(a, b):
return a.endswith(str(b))
|
def endswith_impl(a, b):
a_offset = len(a) - len(b)
if a_offset < 0:
return False
return _cmp_region(a, a_offset, b, 0, len(b)) == 0
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None # fail typing if maxsplit is not an integer
if isinstance(sep, types.UnicodeCharSeq):
def split_impl(a, sep, maxsplit=1):
return a.split(str(sep), maxsplit=maxsplit)
return split_impl
if isinstance(sep, types.UnicodeType):
def split_impl(a, sep, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
return split_impl
elif (
sep is None
or isinstance(sep, types.NoneType)
or getattr(sep, "value", False) is None
):
def split_whitespace_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
parts = []
last = 0
idx = 0
split_count = 0
in_whitespace_block = True
for idx in range(a_len):
code_point = _get_code_point(a, idx)
is_whitespace = _is_whitespace(code_point)
if in_whitespace_block:
if is_whitespace:
pass # keep consuming space
else:
last = idx # this is the start of the next string
in_whitespace_block = False
else:
if not is_whitespace:
pass # keep searching for whitespace transition
else:
parts.append(a[last:idx])
in_whitespace_block = True
split_count += 1
if maxsplit != -1 and split_count == maxsplit:
break
if last <= a_len and not in_whitespace_block:
parts.append(a[last:])
return parts
return split_whitespace_impl
|
def unicode_split(a, sep=None, maxsplit=-1):
if not (
maxsplit == -1
or isinstance(maxsplit, (types.Omitted, types.Integer, types.IntegerLiteral))
):
return None # fail typing if maxsplit is not an integer
if isinstance(sep, types.UnicodeType):
def split_impl(a, sep, maxsplit=-1):
a_len = len(a)
sep_len = len(sep)
if sep_len == 0:
raise ValueError("empty separator")
parts = []
last = 0
idx = 0
if sep_len == 1 and maxsplit == -1:
sep_code_point = _get_code_point(sep, 0)
for idx in range(a_len):
if _get_code_point(a, idx) == sep_code_point:
parts.append(a[last:idx])
last = idx + 1
else:
split_count = 0
while idx < a_len and (maxsplit == -1 or split_count < maxsplit):
if _cmp_region(a, idx, sep, 0, sep_len) == 0:
parts.append(a[last:idx])
idx += sep_len
last = idx
split_count += 1
else:
idx += 1
if last <= a_len:
parts.append(a[last:])
return parts
return split_impl
elif (
sep is None
or isinstance(sep, types.NoneType)
or getattr(sep, "value", False) is None
):
def split_whitespace_impl(a, sep=None, maxsplit=-1):
a_len = len(a)
parts = []
last = 0
idx = 0
split_count = 0
in_whitespace_block = True
for idx in range(a_len):
code_point = _get_code_point(a, idx)
is_whitespace = _is_whitespace(code_point)
if in_whitespace_block:
if is_whitespace:
pass # keep consuming space
else:
last = idx # this is the start of the next string
in_whitespace_block = False
else:
if not is_whitespace:
pass # keep searching for whitespace transition
else:
parts.append(a[last:idx])
in_whitespace_block = True
split_count += 1
if maxsplit != -1 and split_count == maxsplit:
break
if last <= a_len and not in_whitespace_block:
parts.append(a[last:])
return parts
return split_whitespace_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_center(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def center_impl(string, width, fillchar):
return string.center(width, str(fillchar))
return center_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def center_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
allmargin = width - str_len
lmargin = (allmargin // 2) + (allmargin & width & 1)
rmargin = allmargin - lmargin
l_string = fillchar * lmargin
if lmargin == rmargin:
return l_string + string + l_string
else:
return l_string + string + (fillchar * rmargin)
return center_impl
|
def unicode_center(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def center_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
allmargin = width - str_len
lmargin = (allmargin // 2) + (allmargin & width & 1)
rmargin = allmargin - lmargin
l_string = fillchar * lmargin
if lmargin == rmargin:
return l_string + string + l_string
else:
return l_string + string + (fillchar * rmargin)
return center_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def center_impl(string, width, fillchar):
return string.center(width, str(fillchar))
|
def center_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
allmargin = width - str_len
lmargin = (allmargin // 2) + (allmargin & width & 1)
rmargin = allmargin - lmargin
l_string = fillchar * lmargin
if lmargin == rmargin:
return l_string + string + l_string
else:
return l_string + string + (fillchar * rmargin)
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_ljust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def ljust_impl(string, width, fillchar):
return string.ljust(width, str(fillchar))
return ljust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def ljust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = string + (fillchar * (width - str_len))
return newstr
return ljust_impl
|
def unicode_ljust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def ljust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = string + (fillchar * (width - str_len))
return newstr
return ljust_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def ljust_impl(string, width, fillchar):
return string.ljust(width, str(fillchar))
|
def ljust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = string + (fillchar * (width - str_len))
return newstr
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_rjust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if isinstance(fillchar, types.UnicodeCharSeq):
def rjust_impl(string, width, fillchar):
return string.rjust(width, str(fillchar))
return rjust_impl
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def rjust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = (fillchar * (width - str_len)) + string
return newstr
return rjust_impl
|
def unicode_rjust(string, width, fillchar=" "):
if not isinstance(width, types.Integer):
raise TypingError("The width must be an Integer")
if not (
fillchar == " " or isinstance(fillchar, (types.Omitted, types.UnicodeType))
):
raise TypingError("The fillchar must be a UnicodeType")
def rjust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = (fillchar * (width - str_len)) + string
return newstr
return rjust_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def rjust_impl(string, width, fillchar):
return string.rjust(width, str(fillchar))
|
def rjust_impl(string, width, fillchar=" "):
str_len = len(string)
fillchar_len = len(fillchar)
if fillchar_len != 1:
raise ValueError("The fill character must be exactly one character long")
if width <= str_len:
return string
newstr = (fillchar * (width - str_len)) + string
return newstr
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_join(sep, parts):
if isinstance(parts, types.List):
if isinstance(parts.dtype, types.UnicodeType):
def join_list_impl(sep, parts):
return join_list(sep, parts)
return join_list_impl
elif isinstance(parts.dtype, types.UnicodeCharSeq):
def join_list_impl(sep, parts):
_parts = [str(p) for p in parts]
return join_list(sep, _parts)
return join_list_impl
else:
pass # lists of any other type not supported
elif isinstance(parts, types.IterableType):
def join_iter_impl(sep, parts):
parts_list = [p for p in parts]
return join_list(sep, parts_list)
return join_iter_impl
elif isinstance(parts, types.UnicodeType):
# Temporary workaround until UnicodeType is iterable
def join_str_impl(sep, parts):
parts_list = [parts[i] for i in range(len(parts))]
return join_list(sep, parts_list)
return join_str_impl
|
def unicode_join(sep, parts):
if isinstance(parts, types.List):
if isinstance(parts.dtype, types.UnicodeType):
def join_list_impl(sep, parts):
return join_list(sep, parts)
return join_list_impl
else:
pass # lists of any other type not supported
elif isinstance(parts, types.IterableType):
def join_iter_impl(sep, parts):
parts_list = [p for p in parts]
return join_list(sep, parts_list)
return join_iter_impl
elif isinstance(parts, types.UnicodeType):
# Temporary workaround until UnicodeType is iterable
def join_str_impl(sep, parts):
parts_list = [parts[i] for i in range(len(parts))]
return join_list(sep, parts_list)
return join_str_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def join_list_impl(sep, parts):
_parts = [str(p) for p in parts]
return join_list(sep, _parts)
|
def join_list_impl(sep, parts):
return join_list(sep, parts)
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_lstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def lstrip_impl(string, chars):
return string.lstrip(str(chars))
return lstrip_impl
unicode_strip_types_check(chars)
def lstrip_impl(string, chars=None):
return string[unicode_strip_left_bound(string, chars) :]
return lstrip_impl
|
def unicode_lstrip(string, chars=None):
unicode_strip_types_check(chars)
def lstrip_impl(string, chars=None):
return string[unicode_strip_left_bound(string, chars) :]
return lstrip_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def lstrip_impl(string, chars):
return string.lstrip(str(chars))
|
def lstrip_impl(string, chars=None):
return string[unicode_strip_left_bound(string, chars) :]
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_rstrip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def rstrip_impl(string, chars):
return string.rstrip(str(chars))
return rstrip_impl
unicode_strip_types_check(chars)
def rstrip_impl(string, chars=None):
return string[: unicode_strip_right_bound(string, chars)]
return rstrip_impl
|
def unicode_rstrip(string, chars=None):
unicode_strip_types_check(chars)
def rstrip_impl(string, chars=None):
return string[: unicode_strip_right_bound(string, chars)]
return rstrip_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def rstrip_impl(string, chars):
return string.rstrip(str(chars))
|
def rstrip_impl(string, chars=None):
return string[: unicode_strip_right_bound(string, chars)]
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_strip(string, chars=None):
if isinstance(chars, types.UnicodeCharSeq):
def strip_impl(string, chars):
return string.strip(str(chars))
return strip_impl
unicode_strip_types_check(chars)
def strip_impl(string, chars=None):
lb = unicode_strip_left_bound(string, chars)
rb = unicode_strip_right_bound(string, chars)
return string[lb:rb]
return strip_impl
|
def unicode_strip(string, chars=None):
unicode_strip_types_check(chars)
def strip_impl(string, chars=None):
lb = unicode_strip_left_bound(string, chars)
rb = unicode_strip_right_bound(string, chars)
return string[lb:rb]
return strip_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def strip_impl(string, chars):
return string.strip(str(chars))
|
def strip_impl(string, chars=None):
lb = unicode_strip_left_bound(string, chars)
rb = unicode_strip_right_bound(string, chars)
return string[lb:rb]
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def unicode_concat(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def concat_impl(a, b):
new_length = a._length + b._length
new_kind = _pick_kind(a._kind, b._kind)
new_ascii = _pick_ascii(a._is_ascii, b._is_ascii)
result = _empty_string(new_kind, new_length, new_ascii)
for i in range(len(a)):
_set_code_point(result, i, _get_code_point(a, i))
for j in range(len(b)):
_set_code_point(result, len(a) + j, _get_code_point(b, j))
return result
return concat_impl
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeCharSeq):
def concat_impl(a, b):
return a + str(b)
return concat_impl
|
def unicode_concat(a, b):
if isinstance(a, types.UnicodeType) and isinstance(b, types.UnicodeType):
def concat_impl(a, b):
new_length = a._length + b._length
new_kind = _pick_kind(a._kind, b._kind)
new_ascii = _pick_ascii(a._is_ascii, b._is_ascii)
result = _empty_string(new_kind, new_length, new_ascii)
for i in range(len(a)):
_set_code_point(result, i, _get_code_point(a, i))
for j in range(len(b)):
_set_code_point(result, len(a) + j, _get_code_point(b, j))
return result
return concat_impl
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def concat_impl(a, b):
return a + str(b)
|
def concat_impl(a, b):
new_length = a._length + b._length
new_kind = _pick_kind(a._kind, b._kind)
new_ascii = _pick_ascii(a._is_ascii, b._is_ascii)
result = _empty_string(new_kind, new_length, new_ascii)
for i in range(len(a)):
_set_code_point(result, i, _get_code_point(a, i))
for j in range(len(b)):
_set_code_point(result, len(a) + j, _get_code_point(b, j))
return result
|
https://github.com/numba/numba/issues/4416
|
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1032, in lower_expr
impl = self.context.get_function("static_getitem", signature)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 551, in get_function
return self.get_function(fn, sig, _firstcall=False)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 553, in get_function
raise NotImplementedError("No definition for lowering %s%s" % (key, sig))
NotImplementedError: No definition for lowering static_getitem(array([unichr x 1], 1d, C), Literal[int](0)) -> [unichr x 1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 662, in new_error_context
yield
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 301, in lower_inst
val = self.lower_assign(ty, inst)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 459, in lower_assign
return self.lower_expr(ty, value)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 1041, in lower_expr
expr.index_var, signature)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 600, in lower_getitem
res = impl(self.builder, castvals)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1132, in __call__
res = self._imp(self._context, builder, self._sig, args, loc=loc)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 1157, in wrapper
return fn(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 422, in getitem_arraynd_intp
aryty, ary, (idxty,), (idx,))
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 406, in _getitem_array_generic
return load_item(context, builder, aryty, dataptr)
File "/home/pearu/git/Quansight/numba/numba/targets/arrayobj.py", line 127, in load_item
align=align)
File "/home/pearu/git/Quansight/numba/numba/targets/base.py", line 492, in unpack_value
return dm.load_from_data_pointer(builder, ptr, align)
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 87, in load_from_data_pointer
return self.from_data(builder, builder.load(ptr, align=align))
File "/home/pearu/git/Quansight/numba/numba/datamodel/models.py", line 70, in from_data
raise NotImplementedError(self)
NotImplementedError: <numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "bug_lowering_unicodecharseq.py", line 8, in <module>
foo(np.array(['a']))
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 395, in _compile_for_args
raise e
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 352, in _compile_for_args
return self.compile(tuple(argtypes))
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 693, in compile
cres = self._compiler.compile(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 76, in compile
status, retval = self._compile_cached(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 90, in _compile_cached
retval = self._compile_core(args, return_type)
File "/home/pearu/git/Quansight/numba/numba/dispatcher.py", line 108, in _compile_core
pipeline_class=self.pipeline_class)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 972, in compile_extra
return pipeline.compile_extra(func)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 390, in compile_extra
return self._compile_bytecode()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 903, in _compile_bytecode
return self._compile_core()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 890, in _compile_core
res = pm.run(self.status)
File "/home/pearu/git/Quansight/numba/numba/compiler_lock.py", line 32, in _acquire_compile_lock
return func(*args, **kwargs)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 266, in run
raise patched_exception
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 257, in run
stage()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 764, in stage_nopython_backend
self._backend(lowerfn, objectmode=False)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 703, in _backend
lowered = lowerfn()
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 690, in backend_nopython_mode
self.metadata)
File "/home/pearu/git/Quansight/numba/numba/compiler.py", line 1143, in native_lowering_stage
lower.lower()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 177, in lower
self.lower_normal_function(self.fndesc)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 218, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 243, in lower_function_body
self.lower_block(block)
File "/home/pearu/git/Quansight/numba/numba/lowering.py", line 258, in lower_block
self.lower_inst(inst)
File "/home/pearu/mconda3/envs/numba-dev/lib/python3.7/contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "/home/pearu/git/Quansight/numba/numba/errors.py", line 670, in new_error_context
six.reraise(type(newerr), newerr, tb)
File "/home/pearu/git/Quansight/numba/numba/six.py", line 659, in reraise
raise value
numba.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
<numba.datamodel.models.UnicodeCharSeq object at 0x7f8674a8c400>
File "bug_lowering_unicodecharseq.py", line 6:
def foo(x):
return x[0]
^
[1] During: lowering "$0.3 = static_getitem(value=x, index=0, index_var=$const0.2)" at bug_lowering_unicodecharseq.py (6)
-------------------------------------------------------------------------------
This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.46.0dev0+43.g8b5726899.dirty.
|
NotImplementedError
|
def register_binary_operator_kernel(op, kernel, inplace=False):
def lower_binary_operator(context, builder, sig, args):
return numpy_ufunc_kernel(
context, builder, sig, args, kernel, explicit_output=False
)
def lower_inplace_operator(context, builder, sig, args):
# The visible signature is (A, B) -> A
# The implementation's signature (with explicit output)
# is (A, B, A) -> A
args = tuple(args) + (args[0],)
sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
return numpy_ufunc_kernel(
context, builder, sig, args, kernel, explicit_output=True
)
_any = types.Any
_arr_kind = types.Array
formal_sigs = [(_arr_kind, _arr_kind), (_any, _arr_kind), (_arr_kind, _any)]
for sig in formal_sigs:
if not inplace:
lower(op, *sig)(lower_binary_operator)
else:
lower(op, *sig)(lower_inplace_operator)
|
def register_binary_operator_kernel(op, kernel, inplace=False):
def lower_binary_operator(context, builder, sig, args):
return numpy_ufunc_kernel(
context, builder, sig, args, kernel, explicit_output=False
)
def lower_inplace_operator(context, builder, sig, args):
# The visible signature is (A, B) -> A
# The implementation's signature (with explicit output)
# is (A, B, A) -> A
args = args + (args[0],)
sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
return numpy_ufunc_kernel(
context, builder, sig, args, kernel, explicit_output=True
)
_any = types.Any
_arr_kind = types.Array
formal_sigs = [(_arr_kind, _arr_kind), (_any, _arr_kind), (_arr_kind, _any)]
for sig in formal_sigs:
if not inplace:
lower(op, *sig)(lower_binary_operator)
else:
lower(op, *sig)(lower_inplace_operator)
|
https://github.com/numba/numba/issues/4131
|
TypeError Traceback (most recent call last)
~/dev/numba/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
660 try:
--> 661 yield
662 except NumbaError as e:
~/dev/numba/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
~/dev/numba/numba/lowering.py in lower_inst(self, inst)
300 ty = self.typeof(inst.target.name)
--> 301 val = self.lower_assign(ty, inst)
302 self.storevar(val, inst.target.name)
~/dev/numba/numba/lowering.py in lower_assign(self, ty, inst)
458 elif isinstance(value, ir.Expr):
--> 459 return self.lower_expr(ty, value)
460
~/dev/numba/numba/lowering.py in lower_expr(self, resty, expr)
917 elif expr.op == 'call':
--> 918 res = self.lower_call(resty, expr)
919 return res
~/dev/numba/numba/lowering.py in lower_call(self, resty, expr)
710 else:
--> 711 res = self._lower_call_normal(fnty, expr, signature)
712
~/dev/numba/numba/lowering.py in _lower_call_normal(self, fnty, expr, signature)
889
--> 890 res = impl(self.builder, argvals, self.loc)
891 return res
~/dev/numba/numba/targets/base.py in __call__(self, builder, args, loc)
1131 def __call__(self, builder, args, loc=None):
-> 1132 res = self._imp(self._context, builder, self._sig, args, loc=loc)
1133 self._context.add_linking_libs(getattr(self, 'libs', ()))
~/dev/numba/numba/targets/base.py in wrapper(*args, **kwargs)
1156 kwargs.pop('loc') # drop unused loc
-> 1157 return fn(*args, **kwargs)
1158
~/dev/numba/numba/targets/npyimpl.py in lower_inplace_operator(context, builder, sig, args)
497 # is (A, B, A) -> A
--> 498 args = args + (args[0],)
499 sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
TypeError: can only concatenate list (not "tuple") to list
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-5-a36eda57cdc1> in <module>
----> 1 f(A)
~/dev/numba/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
368 e.patch_message(''.join(e.args) + help_msg)
369 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 370 raise e
371
372 def inspect_llvm(self, signature=None):
~/dev/numba/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
325 argtypes.append(self.typeof_pyval(a))
326 try:
--> 327 return self.compile(tuple(argtypes))
328 except errors.TypingError as e:
329 # Intercept typing error that may be due to an argument
~/dev/numba/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
~/dev/numba/numba/dispatcher.py in compile(self, sig)
657
658 self._cache_misses[sig] += 1
--> 659 cres = self._compiler.compile(args, return_type)
660 self.add_overload(cres)
661 self._cache.save_overload(sig, cres)
~/dev/numba/numba/dispatcher.py in compile(self, args, return_type)
81 args=args, return_type=return_type,
82 flags=flags, locals=self.locals,
---> 83 pipeline_class=self.pipeline_class)
84 # Check typing error if object mode is used
85 if cres.typing_error is not None and not flags.enable_pyobject:
~/dev/numba/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
953 pipeline = pipeline_class(typingctx, targetctx, library,
954 args, return_type, flags, locals)
--> 955 return pipeline.compile_extra(func)
956
957
~/dev/numba/numba/compiler.py in compile_extra(self, func)
375 self.lifted = ()
376 self.lifted_from = None
--> 377 return self._compile_bytecode()
378
379 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/dev/numba/numba/compiler.py in _compile_bytecode(self)
884 """
885 assert self.func_ir is None
--> 886 return self._compile_core()
887
888 def _compile_ir(self):
~/dev/numba/numba/compiler.py in _compile_core(self)
871 self.define_pipelines(pm)
872 pm.finalize()
--> 873 res = pm.run(self.status)
874 if res is not None:
875 # Early pipeline completion
~/dev/numba/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
~/dev/numba/numba/compiler.py in run(self, status)
252 # No more fallback pipelines?
253 if is_final_pipeline:
--> 254 raise patched_exception
255 # Go to next fallback pipeline
256 else:
~/dev/numba/numba/compiler.py in run(self, status)
243 try:
244 event("-- %s" % stage_name)
--> 245 stage()
246 except _EarlyPipelineCompletion as e:
247 return e.result
~/dev/numba/numba/compiler.py in stage_nopython_backend(self)
745 """
746 lowerfn = self.backend_nopython_mode
--> 747 self._backend(lowerfn, objectmode=False)
748
749 def stage_compile_interp_mode(self):
~/dev/numba/numba/compiler.py in _backend(self, lowerfn, objectmode)
685 self.library.enable_object_caching()
686
--> 687 lowered = lowerfn()
688 signature = typing.signature(self.return_type, *self.args)
689 self.cr = compile_result(
~/dev/numba/numba/compiler.py in backend_nopython_mode(self)
672 self.calltypes,
673 self.flags,
--> 674 self.metadata)
675
676 def _backend(self, lowerfn, objectmode):
~/dev/numba/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1122 lower = lowering.Lower(targetctx, library, fndesc, interp,
1123 metadata=metadata)
-> 1124 lower.lower()
1125 if not flags.no_cpython_wrapper:
1126 lower.create_cpython_wrapper(flags.release_gil)
~/dev/numba/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
~/dev/numba/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
~/dev/numba/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
~/dev/numba/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
~/dev/miniconda3/envs/DEV/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
~/dev/numba/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
667 from numba import config
668 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 669 six.reraise(type(newerr), newerr, tb)
670
671
~/dev/numba/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
can only concatenate list (not "tuple") to list
File "<ipython-input-4-a98347f692b7>", line 3:
def f(A):
return operator.iadd(A, A)
^
[1] During: lowering "$0.5 = call $0.2(A, A, func=$0.2, args=[Var(A, <ipython-input-4-a98347f692b7> (3)), Var(A, <ipython-input-4-a98347f692b7> (3))], kws=(), vararg=None)" at <ipython-input-4-a98347f692b7> (3)
|
TypeError
|
def lower_inplace_operator(context, builder, sig, args):
# The visible signature is (A, B) -> A
# The implementation's signature (with explicit output)
# is (A, B, A) -> A
args = tuple(args) + (args[0],)
sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
return numpy_ufunc_kernel(context, builder, sig, args, kernel, explicit_output=True)
|
def lower_inplace_operator(context, builder, sig, args):
# The visible signature is (A, B) -> A
# The implementation's signature (with explicit output)
# is (A, B, A) -> A
args = args + (args[0],)
sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
return numpy_ufunc_kernel(context, builder, sig, args, kernel, explicit_output=True)
|
https://github.com/numba/numba/issues/4131
|
TypeError Traceback (most recent call last)
~/dev/numba/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
660 try:
--> 661 yield
662 except NumbaError as e:
~/dev/numba/numba/lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
~/dev/numba/numba/lowering.py in lower_inst(self, inst)
300 ty = self.typeof(inst.target.name)
--> 301 val = self.lower_assign(ty, inst)
302 self.storevar(val, inst.target.name)
~/dev/numba/numba/lowering.py in lower_assign(self, ty, inst)
458 elif isinstance(value, ir.Expr):
--> 459 return self.lower_expr(ty, value)
460
~/dev/numba/numba/lowering.py in lower_expr(self, resty, expr)
917 elif expr.op == 'call':
--> 918 res = self.lower_call(resty, expr)
919 return res
~/dev/numba/numba/lowering.py in lower_call(self, resty, expr)
710 else:
--> 711 res = self._lower_call_normal(fnty, expr, signature)
712
~/dev/numba/numba/lowering.py in _lower_call_normal(self, fnty, expr, signature)
889
--> 890 res = impl(self.builder, argvals, self.loc)
891 return res
~/dev/numba/numba/targets/base.py in __call__(self, builder, args, loc)
1131 def __call__(self, builder, args, loc=None):
-> 1132 res = self._imp(self._context, builder, self._sig, args, loc=loc)
1133 self._context.add_linking_libs(getattr(self, 'libs', ()))
~/dev/numba/numba/targets/base.py in wrapper(*args, **kwargs)
1156 kwargs.pop('loc') # drop unused loc
-> 1157 return fn(*args, **kwargs)
1158
~/dev/numba/numba/targets/npyimpl.py in lower_inplace_operator(context, builder, sig, args)
497 # is (A, B, A) -> A
--> 498 args = args + (args[0],)
499 sig = typing.signature(sig.return_type, *sig.args + (sig.args[0],))
TypeError: can only concatenate list (not "tuple") to list
During handling of the above exception, another exception occurred:
LoweringError Traceback (most recent call last)
<ipython-input-5-a36eda57cdc1> in <module>
----> 1 f(A)
~/dev/numba/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
368 e.patch_message(''.join(e.args) + help_msg)
369 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 370 raise e
371
372 def inspect_llvm(self, signature=None):
~/dev/numba/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
325 argtypes.append(self.typeof_pyval(a))
326 try:
--> 327 return self.compile(tuple(argtypes))
328 except errors.TypingError as e:
329 # Intercept typing error that may be due to an argument
~/dev/numba/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
~/dev/numba/numba/dispatcher.py in compile(self, sig)
657
658 self._cache_misses[sig] += 1
--> 659 cres = self._compiler.compile(args, return_type)
660 self.add_overload(cres)
661 self._cache.save_overload(sig, cres)
~/dev/numba/numba/dispatcher.py in compile(self, args, return_type)
81 args=args, return_type=return_type,
82 flags=flags, locals=self.locals,
---> 83 pipeline_class=self.pipeline_class)
84 # Check typing error if object mode is used
85 if cres.typing_error is not None and not flags.enable_pyobject:
~/dev/numba/numba/compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
953 pipeline = pipeline_class(typingctx, targetctx, library,
954 args, return_type, flags, locals)
--> 955 return pipeline.compile_extra(func)
956
957
~/dev/numba/numba/compiler.py in compile_extra(self, func)
375 self.lifted = ()
376 self.lifted_from = None
--> 377 return self._compile_bytecode()
378
379 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
~/dev/numba/numba/compiler.py in _compile_bytecode(self)
884 """
885 assert self.func_ir is None
--> 886 return self._compile_core()
887
888 def _compile_ir(self):
~/dev/numba/numba/compiler.py in _compile_core(self)
871 self.define_pipelines(pm)
872 pm.finalize()
--> 873 res = pm.run(self.status)
874 if res is not None:
875 # Early pipeline completion
~/dev/numba/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
~/dev/numba/numba/compiler.py in run(self, status)
252 # No more fallback pipelines?
253 if is_final_pipeline:
--> 254 raise patched_exception
255 # Go to next fallback pipeline
256 else:
~/dev/numba/numba/compiler.py in run(self, status)
243 try:
244 event("-- %s" % stage_name)
--> 245 stage()
246 except _EarlyPipelineCompletion as e:
247 return e.result
~/dev/numba/numba/compiler.py in stage_nopython_backend(self)
745 """
746 lowerfn = self.backend_nopython_mode
--> 747 self._backend(lowerfn, objectmode=False)
748
749 def stage_compile_interp_mode(self):
~/dev/numba/numba/compiler.py in _backend(self, lowerfn, objectmode)
685 self.library.enable_object_caching()
686
--> 687 lowered = lowerfn()
688 signature = typing.signature(self.return_type, *self.args)
689 self.cr = compile_result(
~/dev/numba/numba/compiler.py in backend_nopython_mode(self)
672 self.calltypes,
673 self.flags,
--> 674 self.metadata)
675
676 def _backend(self, lowerfn, objectmode):
~/dev/numba/numba/compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1122 lower = lowering.Lower(targetctx, library, fndesc, interp,
1123 metadata=metadata)
-> 1124 lower.lower()
1125 if not flags.no_cpython_wrapper:
1126 lower.create_cpython_wrapper(flags.release_gil)
~/dev/numba/numba/lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)
~/dev/numba/numba/lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block
~/dev/numba/numba/lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()
~/dev/numba/numba/lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):
~/dev/miniconda3/envs/DEV/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
~/dev/numba/numba/errors.py in new_error_context(fmt_, *args, **kwargs)
667 from numba import config
668 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 669 six.reraise(type(newerr), newerr, tb)
670
671
~/dev/numba/numba/six.py in reraise(tp, value, tb)
657 if value.__traceback__ is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:
LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
can only concatenate list (not "tuple") to list
File "<ipython-input-4-a98347f692b7>", line 3:
def f(A):
return operator.iadd(A, A)
^
[1] During: lowering "$0.5 = call $0.2(A, A, func=$0.2, args=[Var(A, <ipython-input-4-a98347f692b7> (3)), Var(A, <ipython-input-4-a98347f692b7> (3))], kws=(), vararg=None)" at <ipython-input-4-a98347f692b7> (3)
|
TypeError
|
def _get_or_create_context_uncached(self, devnum):
"""See also ``get_or_create_context(devnum)``.
This version does not read the cache.
"""
with self._lock:
# Try to get the active context in the CUDA stack or
# activate GPU-0 with the primary context
with driver.get_active_context() as ac:
if not ac:
return self._activate_context_for(0)
else:
# Get primary context for the active device
ctx = self.gpus[ac.devnum].get_primary_context()
# Is active context the primary context?
if ctx.handle.value != ac.context_handle.value:
msg = "Numba cannot operate on non-primary CUDA context {:x}"
raise RuntimeError(msg.format(ac.context_handle.value))
# Ensure the context is ready
ctx.prepare_for_use()
return ctx
|
def _get_or_create_context_uncached(self, devnum):
"""See also ``get_or_create_context(devnum)``.
This version does not read the cache.
"""
with self._lock:
# Try to get the active context in the CUDA stack or
# activate GPU-0 with the primary context
with driver.get_active_context() as ac:
if not ac:
return self._activate_context_for(0)
else:
# Get primary context for the active device
ctx = self.gpus[ac.devnum].get_primary_context()
# Is active context the primary context?
if ctx.handle.value != ac.context_handle.value:
msg = "Numba cannot operate on non-primary CUDA context {:x}"
raise RuntimeError(msg.format(ac.context_handle.value))
return ctx
|
https://github.com/numba/numba/issues/4352
|
Traceback (most recent call last):
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 745, in _exitfunc
f()
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 669, in __call__
return info.func(*info.args, **(info.kwargs or {}))
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py", line 1037, in core
dealloc.add_item(module_unload, handle)
AttributeError: 'NoneType' object has no attribute 'add_item'
|
AttributeError
|
def push(self):
"""
Pushes this context on the current CPU Thread.
"""
driver.cuCtxPushCurrent(self.handle)
self.prepare_for_use()
|
def push(self):
"""
Pushes this context on the current CPU Thread.
"""
driver.cuCtxPushCurrent(self.handle)
# setup *deallocations* as the context becomes active for the first time
if self.deallocations is None:
self.deallocations = _PendingDeallocs(self.get_memory_info().total)
|
https://github.com/numba/numba/issues/4352
|
Traceback (most recent call last):
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 745, in _exitfunc
f()
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 669, in __call__
return info.func(*info.args, **(info.kwargs or {}))
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py", line 1037, in core
dealloc.add_item(module_unload, handle)
AttributeError: 'NoneType' object has no attribute 'add_item'
|
AttributeError
|
def _module_finalizer(context, handle):
dealloc = context.deallocations
modules = context.modules
def core():
shutting_down = utils.shutting_down # early bind
def module_unload(handle):
# If we are not shutting down, we must be called due to
# Context.reset() of Context.unload_module(). Both must have
# cleared the module reference from the context.
assert shutting_down() or handle.value not in modules
driver.cuModuleUnload(handle)
if dealloc is not None:
dealloc.add_item(module_unload, handle)
else:
# Check the impossible case.
assert shutting_down(), (
"dealloc is None but interpreter is not being shutdown!"
)
return core
|
def _module_finalizer(context, handle):
dealloc = context.deallocations
modules = context.modules
def core():
shutting_down = utils.shutting_down # early bind
def module_unload(handle):
# If we are not shutting down, we must be called due to
# Context.reset() of Context.unload_module(). Both must have
# cleared the module reference from the context.
assert shutting_down() or handle.value not in modules
driver.cuModuleUnload(handle)
dealloc.add_item(module_unload, handle)
return core
|
https://github.com/numba/numba/issues/4352
|
Traceback (most recent call last):
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 745, in _exitfunc
f()
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/utils.py", line 669, in __call__
return info.func(*info.args, **(info.kwargs or {}))
File "/conda/envs/gdf/lib/python3.6/site-packages/numba/cuda/cudadrv/driver.py", line 1037, in core
dealloc.add_item(module_unload, handle)
AttributeError: 'NoneType' object has no attribute 'add_item'
|
AttributeError
|
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