Ivana

We need a smarter method to detect the validity of BLAS runtime. Currently, Cytnx only prints an warning when NumPy is imported before Cytnx. This is not a detection and...

@Heliumky For make your script workable in your environment, please check which BLAS library that your NumPy actually links against. I think Cytnx, both version 0.9.7 and 1.0.1, ships the...

For you unworkable machine, it seems that MKL 2024.2.2 is not compatible with MKL 2025 even if they are both MKL... And the other problem is that CMake doesn't adopt...

To make CMake use the MKL library installed in your conda environment, try ```sh conda install cxx-compiler cmake ``` and 1. Remove `build/` folder 2. `cmake --preset mkl-cpu` 3. `cmake...

I suggest we detect the validity of BLAS at runtime like what numpy does. We may add a testcase like this ```py A = np.array([[1., -3.j], [3.j, 2.]], dtype=np.complex128) print(np.linalg.matrix_rank(A,...

Version 1.0.1 on conda is broken. The problem mentioned at #595 is also not fixed in the version 1.0.1 on Conda.

> Also, the strange thing that I try to install the cytnx in my conda environment but the package still used the files from the Downloads folder which is git...

> Is there any possible way that I can install Cytnx1.0.1 in conda as soon as possible? I mean the package can be fix in conda even [#595](https://github.com/Cytnx-dev/Cytnx/issues/595) can not...

Thank you for explaining. However, this design is inconvenient. `CMakePresets.json` should be traced in git, which means the content is shared between all developers who build their code on different...

@Evelyn-001 Yes. Only one thing different is I set `cmake.installPrefix` in the workspace `setting.json`, which is located at C:/User/xxx/Desktop/my_project/.vscode/setting.json in your case. But setting in the user or the workspace...