KeyError: <ufunc 'invert'>

[rishikeshkushwaha]

KeyError Traceback (most recent call last)
in

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in _compile_for_args(self, *args, **kws)
485 return lib.get_asm_str()
486
--> 487 return dict((sig, self.inspect_asm(sig)) for sig in self.signatures)
488
489 def inspect_types(self, file=None, signature=None,

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in _compile_for_args(self, *args, **kws)
418 e.patch_message(msg)
419
--> 420 error_rewrite(e, 'typing')
421 except errors.UnsupportedError as e:
422 # Something unsupported is present in the user code, add help info

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in compile(self, sig)
963 msg = "No parfors diagnostic available, is 'parallel=True' set?"
964 raise ValueError(msg)
--> 965 pfdiag.dump(level)
966 if signature is not None:
967 dump(signature)

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in compile(self, args, return_type)
123 def _customize_flags(self, flags):
124 return flags
--> 125
126
127 class _GeneratedFunctionCompiler(_FunctionCompiler):

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in _compile_cached(self, args, return_type)
137 # implementation function.
138 return serialize._get_function_globals_for_reduction(self.py_func)
--> 139
140 def _get_implementation(self, args, kws):
141 impl = self.py_func(*args, **kws)

~\AppData\Roaming\Python\Python38\site-packages\numba\core\dispatcher.py in _compile_core(self, args, return_type)
150 # We allow the implementation to omit default values, but
151 # if it mentions them, they should have the same value...
--> 152 if (pyparam.name != implparam.name or
153 pyparam.kind != implparam.kind or
154 (implparam.default is not implparam.empty and

~\AppData\Roaming\Python\Python38\site-packages\numba\core\compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)

~\AppData\Roaming\Python\Python38\site-packages\numba\core\compiler.py in init(self, typingctx, targetctx, library, args, return_type, flags, locals)
384 res = None
385 try:
--> 386 pm.run(self.state)
387 if self.state.cr is not None:
388 break

~\AppData\Roaming\Python\Python38\site-packages\numba\core\base.py in refresh(self)
273 from numba.cpython import (slicing, tupleobj, enumimpl, hashing, heapq,
274 iterators, numbers, rangeobj)
--> 275 from numba.core import optional
276 from numba.misc import gdb_hook, literal
277 from numba.np import linalg, polynomial, arraymath

~\AppData\Roaming\Python\Python38\site-packages\numba\core\cpu.py in load_additional_registries(self)
81 def target_data(self):
82 return self._internal_codegen.target_data
---> 83
84 def with_aot_codegen(self, name, **aot_options):
85 aot_codegen = codegen.AOTCPUCodegen(name, **aot_options)

~\AppData\Roaming\Python\Python38\site-packages\numba\np\npyimpl.py in
570
571
--> 572 _register_ufuncs()
573
574

~\AppData\Roaming\Python\Python38\site-packages\numba\np\npyimpl.py in _register_ufuncs()
549 for operator, ufunc_name in _op_map.items():
550 ufunc = getattr(np, ufunc_name)
--> 551 kernel = kernels[ufunc]
552 if ufunc.nin == 1:
553 register_unary_operator_kernel(operator, ufunc, kernel)

KeyError: <ufunc 'invert'>
getting this error when my input array is all float values.
try to increase performance using njit decorator.

[njriasan]

Hi @rishikeshkushwaha thank you for filing this issue. It's hard to understand the source of an error like this just from looking at the stack trace. Could you provide a runnable code sample that I can use to try reproduce this issue? Thanks.

[rishikeshkushwaha]

array_data = [[ 3.47458169e+08,  4.77567825e+01, -1.22151398e+02,
         4.76155090e+01, -1.22195724e+02,  2.47200000e+04,
         2.66400000e+04],
       [ 3.47458179e+08,  4.77567825e+01, -1.22151398e+02,
         4.76155090e+01, -1.22195724e+02,  2.80200000e+04,
         3.02400000e+04],
       [ 3.47458209e+08,  4.76034737e+01, -1.22184975e+02,
         4.77672043e+01, -1.22346100e+02,  6.11400000e+04,
         6.57600000e+04],
       [ 3.47458219e+08,  4.77677078e+01, -1.22346451e+02,
         4.76015663e+01, -1.22187531e+02,  2.30400000e+04,
         2.68200000e+04],
       [ 3.47458229e+08,  4.77677078e+01, -1.22346451e+02,
         4.76015663e+01, -1.22187531e+02,  2.46600000e+04,
         2.84400000e+04]]

from math import radians, cos, sin, asin, sqrt


@jit( nopython=True)
def haversine(lon1, lat1, lon2, lat2):
    lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
    dlon = lon2 - lon1 
    dlat = lat2 - lat1 
    a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
    c = 2 * asin(sqrt(a)) 
    r = 6371 
    return c * r

@njit
def distance(i,j):
    if i==j:
        return 1000000.0
    start = array_data[np.where(array_data[:,0]==i)][0][-1]
    end = array_data[np.where(array_data[:,0]==j)][0][-2]
    if i!=j and     end > start + 20.0 :
        lat1,long1 = array_data[np.where(array_data[:,0]==i)][0][3],array_data[np.where(array_data[:,0]==i)][0][4]
        lat2,long2 = array_data[np.where(array_data[:,0]==j)][0][1],array_data[np.where(array_data[:,0]==j)][0][2]
        return haversine(long1, lat1, long2, lat2)
    else:
        return 1000000.0

test = []
S = [i[0] for i in array_data]

for i in S[:5]:
    for j in S[:5]:
        test.append(distance(i,j))'''

I am facing the above error using the following code.

[njriasan]

Running this code directly on main with Python 3.8 I see:

 >>> getitem(reflected list(reflected list(float64)<iv=None>)<iv=None>, Tuple(slice<a:b>, Literal[int](0)))
 
There are 22 candidate implementations:
  - Of which 22 did not match due to:
  Overload of function 'getitem': File: <numerous>: Line N/A.
    With argument(s): '(reflected list(reflected list(float64)<iv=None>)<iv=None>, Tuple(slice<a:b>, int64))':
   No match.

However if I ensure array_data is an array I no longer see an error on main + Python 3.8.

from numba import jit, njit
import numpy as np

array_data = np.array([[ 3.47458169e+08, 4.77567825e+01, -1.22151398e+02,
4.76155090e+01, -1.22195724e+02, 2.47200000e+04,
2.66400000e+04],
[ 3.47458179e+08, 4.77567825e+01, -1.22151398e+02,
4.76155090e+01, -1.22195724e+02, 2.80200000e+04,
3.02400000e+04],
[ 3.47458209e+08, 4.76034737e+01, -1.22184975e+02,
4.77672043e+01, -1.22346100e+02, 6.11400000e+04,
6.57600000e+04],
[ 3.47458219e+08, 4.77677078e+01, -1.22346451e+02,
4.76015663e+01, -1.22187531e+02, 2.30400000e+04,
2.68200000e+04],
[ 3.47458229e+08, 4.77677078e+01, -1.22346451e+02,
4.76015663e+01, -1.22187531e+02, 2.46600000e+04,
2.84400000e+04]])

from math import radians, cos, sin, asin, sqrt

@jit( nopython=True)
def haversine(lon1, lat1, lon2, lat2):
    lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
    dlon = lon2 - lon1
    dlat = lat2 - lat1
    a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
    c = 2 * asin(sqrt(a))
    r = 6371
    return c * r

@njit
def distance(i,j):
    if i==j:
        return 1000000.0
    start = array_data[np.where(array_data[:,0]==i)][0][-1]
    end = array_data[np.where(array_data[:,0]==j)][0][-2]
    if i!=j and end > start + 20.0 :
        lat1,long1 = array_data[np.where(array_data[:,0]==i)][0][3],array_data[np.where(array_data[:,0]==i)][0][4]
        lat2,long2 = array_data[np.where(array_data[:,0]==j)][0][1],array_data[np.where(array_data[:,0]==j)][0][2]
        return haversine(long1, lat1, long2, lat2)
    else:
        return 1000000.0

test = []
S = [i[0] for i in array_data]

for i in S[:5]:
    for j in S[:5]:
        test.append(distance(i,j))
print(test)

@rishikeshkushwaha what Python version are you using? What version of Numba are you using?

[rishikeshkushwaha]

I think issue with previous version i.e. 0.53.x . I update and it fixed. Python 3.8. We can close this.

[stuartarchibald]

I think issue with previous version i.e. 0.53.x . I update and it fixed. Python 3.8. We can close this.

Thanks for confirming @rishikeshkushwaha, closing.