Python Numba jit NotImplementedError list comprehension

Question

Numba와 함께 목록 수식을 실행하는 수식의 계산 속도를 높이고 싶습니다.

from numba import jit 

# General function to generate overlapping windows from a dataframe 
@jit 
def overlapping_windows(index, wl=256, noverlap=128): 
    l = len(index) 
    res = [[s,s+wl] for s in xrange(0, l, noverlap) if s+wl < l] 
    return res 

overlapping_windows([1,2,3,4,5,6,7,8,9,10],4,2) 

그러나 NotImplementedError가 발생합니다. 이유를 모르겠다.

--------------------------------------------------------------------------- 
NotImplementedError      Traceback (most recent call last) 
<ipython-input-45-ce0579185abe> in <module>() 
     6  return res 
     7 
----> 8 overlapping_windows([1,2,3,4,5,6,7,8,9,10],4,2) 

~/anaconda/lib/python2.7/site-packages/numba/dispatcher.pyc in _compile_and_call(self, *args, **kws) 
    123   assert not kws 
    124   sig = tuple([typeof_pyval(a) for a in args]) 
--> 125   self.jit(sig) 
    126   return self(*args, **kws) 
    127 

~/anaconda/lib/python2.7/site-packages/numba/dispatcher.pyc in jit(self, sig, **kws) 
    118   """Alias of compile(sig, **kws) 
    119   """ 
--> 120   return self.compile(sig, **kws) 
    121 
    122  def _compile_and_call(self, *args, **kws): 

~/anaconda/lib/python2.7/site-packages/numba/dispatcher.pyc in compile(self, sig, locals, **targetoptions) 
    106    cres = compiler.compile_extra(typingctx, targetctx, self.py_func, 
    107           args=args, return_type=return_type, 
--> 108           flags=flags, locals=locs) 
    109 
    110    # Check typing error if object mode is used 

~/anaconda/lib/python2.7/site-packages/numba/compiler.pyc in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals) 
    85   Use ``None`` to indicate 
    86  """ 
---> 87  bc = bytecode.ByteCode(func=func) 
    88  if config.DEBUG: 
    89   print(bc.dump()) 

~/anaconda/lib/python2.7/site-packages/numba/bytecode.pyc in __init__(self, func) 
    275    raise ByteCodeSupportError("does not support cellvars") 
    276 
--> 277   table = utils.SortedMap(ByteCodeIter(code)) 
    278   labels = set(dis.findlabels(code.co_code)) 
    279   labels.add(0) 

~/anaconda/lib/python2.7/site-packages/numba/utils.pyc in __init__(self, seq) 
    44   self._values = [] 
    45   self._index = {} 
---> 46   for i, (k, v) in enumerate(sorted(seq)): 
    47    self._index[k] = i 
    48    self._values.append((k, v)) 

~/anaconda/lib/python2.7/site-packages/numba/bytecode.pyc in next(self) 
    195    ts = "offset=%d opcode=%x opname=%s" 
    196    tv = offset, opcode, dis.opname[opcode] 
--> 197    raise NotImplementedError(ts % tv) 
    198   if info.argsize: 
    199    arg = self.read_arg(info.argsize) 

NotImplementedError: offset=66 opcode=5e opname=LIST_APPEND 

Answer 1

그것은 가장 가능성이 사용중인 numba의 버전이 지능형리스트와 기능을 지원하지 않는다는 것을 의미합니다.