我在多个行和列中迭代x和y，我有一个2DArray＆＃39; inarray＆＃39;它保存了每平方的刷火算法成本，类似于：
array[[900 0 1 2 3 4 5 6 7]
[ 2 1 2 3 4 5 6 7 8]
[ 3 2 900 4 5 6 7 8 9]
[ 4 3 4 5 6 7 8 9 10]
[ 5 4 5 6 7 8 9 10 11]
[ 6 5 6 7 8 9 10 11 12]
[ 7 6 7 8 9 10 11 12 13]
[ 8 7 8 9 10 11 12 13 14]
[ 9 8 9 10 11 12 13 14 15]
[ 10 9 10 11 12 13 14 15 16]]
如果900是障碍物，则0是目标，而数字是步数成本。
从这个2DArray我想生成一个矢量场，所以我实现了代码：
def vectorfield(inarray, goal, r, c):
vectorarray = np.zeros((r,c), dtype=np.int32)
for y in range(0,c):
for x in range(0,r):
xy = (x,y)
neighbours = get_direction(xy, r, c)
best_nbr = min(neighbours.keys(), key=lambda n: inarray[n])
vectorarray[xy] = neighbours[best_nbr]
vectorarray[goal] = -1
return vectorarray
我制作了另一个2D数组，不会覆盖地图，因此仍然可以引用成本。然后我循环遍历行和列，并为每个点生成方向值，这是一个点的字典：angle：
directions = {
(x - 1, y + 1): 225, (x, y + 1): 180, (x + 1, y + 1): 135,
(x - 1, y): 270, (x + 1, y): 90,
(x - 1, y - 1): 315, (x, y - 1): 0, (x + 1, y - 1): 45,
}
如果每个点都在地图外，则将其过滤掉。
然后我使用min（）函数来获得邻居中成本最低的点。最后，邻居的值（指向下一个方块的角度）放在vectorarray中。
我应该说它没有装饰器
问题在于我想要@jit或@njit装饰器来加速执行，我不明白如何解决它们。
@njit的错误：
Traceback (most recent call last):
File "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 334, in <module>
main()
File "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 313, in main
inarray = vectorfield(inarray, (0,1), w, h)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 330, in _compile_for_args
raise e
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 307, in _compile_for_args
return self.compile(tuple(argtypes))
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 579, in compile
cres = self._compiler.compile(args, return_type)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 80, in compile
flags=flags, locals=self.locals)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 766, in compile_extra
return pipeline.compile_extra(func)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 362, in compile_extra
return self._compile_bytecode()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 725, in _compile_bytecode
return self._compile_core()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 712, in _compile_core
res = pm.run(self.status)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 248, in run
raise patched_exception
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 240, in run
stage()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 454, in stage_nopython_frontend
self.locals)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 868, in type_inference_stage
infer.propagate()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/typeinfer.py", line 844, in propagate
raise errors[0]
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/typeinfer.py", line 137, in propagate
constraint(typeinfer)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/typeinfer.py", line 415, in __call__
self.resolve(typeinfer, typevars, fnty)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/typeinfer.py", line 450, in resolve
raise TypingError(msg, loc=self.loc)
numba.errors.TypingError: Failed at nopython (nopython frontend)
Invalid usage of type(CPUDispatcher(<function get_direction at 0x105f218c8>)) with parameters ((int64 x 2), int64, int64)
* parameterized
File "lel1.py", line 298
[1] During: resolving callee type: type(CPUDispatcher(<function get_direction at 0x105f218c8>))
[2] During: typing of call at /Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py (298)
@jit的错误：
most recent call last):
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/errors.py", line 259, in new_error_context
yield
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 216, in lower_block
self.lower_inst(inst)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 65, in lower_inst
value = self.lower_assign(inst)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 159, in lower_assign
return self.lower_expr(value)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 373, in lower_expr
raise NotImplementedError(expr)
NotImplementedError: make_function(name=$const50.17, code=<code object <lambda> at 0x102295150, file "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 300>, closure=$50.15, defaults=None)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 334, in <module>
main()
File "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 313, in main
inarray = vectorfield(inarray, (0,1), w, h)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 307, in _compile_for_args
return self.compile(tuple(argtypes))
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/dispatcher.py", line 658, in compile
lifted_from=self.lifted_from)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 780, in compile_ir
lifted_from=lifted_from)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 370, in compile_ir
return self._compile_ir()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 732, in _compile_ir
return self._compile_core()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 712, in _compile_core
res = pm.run(self.status)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 248, in run
raise patched_exception
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 240, in run
stage()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 625, in stage_objectmode_backend
self._backend(lowerfn, objectmode=True)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 602, in _backend
lowered = lowerfn()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 576, in backend_object_mode
self.flags)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/compiler.py", line 909, in py_lowering_stage
lower.lower()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 135, in lower
self.lower_normal_function(self.fndesc)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 176, in lower_normal_function
entry_block_tail = self.lower_function_body()
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 201, in lower_function_body
self.lower_block(block)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 216, in lower_block
self.lower_inst(inst)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 100, in __exit__
self.gen.throw(type, value, traceback)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/errors.py", line 265, in new_error_context
six.reraise(type(newerr), newerr, sys.exc_info()[2])
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/six.py", line 658, in reraise
raise value.with_traceback(tb)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/errors.py", line 259, in new_error_context
yield
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/lowering.py", line 216, in lower_block
self.lower_inst(inst)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 65, in lower_inst
value = self.lower_assign(inst)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 159, in lower_assign
return self.lower_expr(value)
File "/Users/aditya/Library/Python/3.6/lib/python/site-packages/numba/objmode.py", line 373, in lower_expr
raise NotImplementedError(expr)
numba.errors.LoweringError: Failed at object (object mode backend)
make_function(name=$const50.17, code=<code object <lambda> at 0x102295150, file "/Users/aditya/Desktop/PycharmPrograms/RandomIdeas/lel1.py", line 300>, closure=$50.15, defaults=None)
File "lel1.py", line 300
[1] During: loweri
编辑： Inarray（从字面上将我的inarray转换为列表）：
numpy.array([[900, 0, 1, 2, 3, 4, 5, 6, 7], [2, 1, 2, 3, 4, 5, 6, 7, 8], [3, 2, 900, 4, 5, 6, 7, 8, 9], [4, 3, 4, 5, 6, 7, 8, 9, 10], [5, 4, 5, 6, 7, 8, 9, 10, 11], [6, 5, 6, 7, 8, 9, 10, 11, 12], [7, 6, 7, 8, 9, 10, 11, 12, 13], [8, 7, 8, 9, 10, 11, 12, 13, 14], [9, 8, 9, 10, 11, 12, 13, 14, 15], [10, 9, 10, 11, 12, 13, 14, 15, 16]])
获取方向功能就是这样（我相信这是在了解inarray之后再现问题的唯一必要部分。）
@jit
def get_direction(point, rows, cols):
(x, y) = point
directions = {
(x - 1, y + 1): 225, (x, y + 1): 180, (x + 1, y + 1): 135,
(x - 1, y): 270, (x + 1, y): 90,
(x - 1, y - 1): 315, (x, y - 1): 0, (x + 1, y - 1): 45,
}
delete = []
for k in directions.keys():
if k[0] >= rows or k[0] < 0 or k[1] >= cols or k[1] < 0:
delete.append(k)
for i in delete:
del directions[i]
return directions