Check failed in jt.scatter/jt.random

[x0w3n]

Describe the bug

Check failed is triggered if the jt.scatter reduce parameter is not supported.
The same error occurs at jt.random.
The error log suggests reporting this issue.

Full Log

[i 1203 11:01:28.290158 44 compiler.py:956] Jittor(1.3.9.10) src: /home/miniconda3/envs/jittor/lib/python3.9/site-packages/jittor
[i 1203 11:01:28.297562 44 compiler.py:957] g++ at /usr/bin/g++(11.2.0)
[i 1203 11:01:28.297614 44 compiler.py:958] cache_path: /home/.cache/jittor/jt1.3.9/g++11.2.0/py3.9.12/Linux-5.15.0-1x30/INTELRXEONRGOLx51/ef26/default
[i 1203 11:01:28.380672 44 install_cuda.py:93] cuda_driver_version: [12, 2]
[i 1203 11:01:28.394788 44 __init__.py:412] Found /home/.cache/jittor/jtcuda/cuda12.2_cudnn8_linux/bin/nvcc(12.2.140) at /home/.cache/jittor/jtcuda/cuda12.2_cudnn8_linux/bin/nvcc.
[i 1203 11:01:28.587427 44 __init__.py:412] Found gdb(12.0.90) at /usr/bin/gdb.
[i 1203 11:01:28.589898 44 __init__.py:412] Found addr2line(2.38) at /usr/bin/addr2line.
[i 1203 11:01:28.959561 44 compiler.py:1013] cuda key:cu12.2.140_sm_89
[i 1203 11:01:30.272529 44 __init__.py:227] Total mem: 251.50GB, using 16 procs for compiling.
[i 1203 11:01:30.463344 44 jit_compiler.cc:28] Load cc_path: /usr/bin/g++
[i 1203 11:01:30.735148 44 init.cc:63] Found cuda archs: [89,]
Traceback (most recent call last):
  File "test.py", line 7, in <module>
    jt.scatter(x, 0, index, src,reduce = 'test')
  File "/home/miniconda3/envs/jittor/lib/python3.9/site-packages/jittor/misc.py", line 1608, in scatter
    return x.setitem(tuple(indexes), src, reduce)
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.setitem)).

Types of your inputs are:
 self   = Var,
 args   = (tuple, Var, str, ),

The function declarations are:
 VarHolder* setitem(VarHolder* x,  VarSlices&& slices, VarHolder* y,  NanoString op=ns_void)

Failed reason:[f 1203 11:01:31.545916 44 nano_string.h:163] Check failed: iter != __string_to_ns.end()  Something wrong... Could you please report this issue?
 hack

Minimal Reproduce

import jittor as jt

src = jt.arange(1, 11).reshape((2, 5))
index = jt.array([[0, 1, 2, 0]])
x = jt.zeros((3, 5), dtype=src.dtype)
jt.scatter(x, 0, index, src,reduce = 'hack')

import jittor as jt
c = jt.random(shape=(3,), type='hack')

Expected behavior

The reduce/type parameters of jt.scatter need to be checked.