ALWAYS_SPLIT seems necessary for ZFP

At least these tests:

```
FAILED tests/ndarray/test_lossy.py::test_lossy[shape1-float64-cparams1-None-False] - RuntimeError: Error while creating the NDArray
FAILED tests/ndarray/test_lossy.py::test_lossy[shape3-float32-cparams3-lossy.b2nd-False] - RuntimeError: Error while creating the NDArray
```

fail if "splitmode" is set to`AUTO_SPLIT`, which is the new default after [this discussion](https://github.com/Blosc/python-blosc2/discussions/337).

Perhaps this is due to the design of the test, but while we can investigate more, they are set explicitly in the test to `ALWAYS_SPLIT`.

首先运行 tests/ndarray/test_lossy.py 中失败的两个用例，并检查其中如何配置 splitmode。将 AUTO_SPLIT 与显式的 ALWAYS_SPLIT 设置进行比较，然后确定失败是源于测试设计还是实现。确定原因，并使受影响的测试在预期的拆分模式下正确运行，即表示完成。

由索引模型根据 Issue 内容生成。