Update 1_requirements.rst

Author: hweifluids

source/1_requirements.rst

@@ -10,9 +10,9 @@ This page summarizes the system requirements and dependencies of PyFTLE3D.
 
 Firstly, the following packages are supposed to be installed on your computer manually in advance.
 
-1. `Python <https://www.python.org/>`__ version 3.13. Later version than 3.8 till 3.13 should work properly, but was not fully tested. The official download could be found at `here <https://www.python.org/downloads/release/python-3130/?featured_on=pythonbytes>`. Please select Python installer according to your system framework.
+1. `Python <https://www.python.org/>`__ version 3.13. Later version than 3.8 till 3.13 should work properly, but was not fully tested. The official download could be found at `here <https://www.python.org/downloads/release/python-3130/?featured_on=pythonbytes>`__. Please select Python installer according to your system framework.
 
-2. `CUDA Toolkit <https://developer.nvidia.com/cuda-toolkit>`__ version 12.9 (`Download <https://developer.nvidia.com/cuda-toolkit-archive>`). All versions crossing 12.x.x should theoretically work, but only 12.9 was fully tested. Ealier versions could work as well, but it requires a different version of `cupy`, and could cause unexpected performance decay and errors. See `cupy` documentation for more information.
+2. `CUDA Toolkit <https://developer.nvidia.com/cuda-toolkit>`__ version 12.9 (`Download <https://developer.nvidia.com/cuda-toolkit-archive>`__). All versions crossing 12.x.x should theoretically work, but only 12.9 was fully tested. Ealier versions could work as well, but it requires a different version of `cupy`, and could cause unexpected performance decay and errors. See `cupy` documentation for more information.
 
 3. `pip <https://pypi.org/project/pip/>`__ newest version, which is used for installing further dependencies. It can be installed by:
 
@@ -28,7 +28,7 @@ Generally, the following dependencies can be installed via ``pip``, the Python p
 5. `pyevtk <https://github.com/paulo-herrera/PyEVTK>`__ version 1.4 or later  
 6. `numba <https://numba.pydata.org>`__ version 0.54 or later  
 7. `tqdm <https://tqdm.github.io>`__ version 4.62 or later  
-8. `cupy-cuda12x <https://cupy.dev>`__  
+8. `cupy-cuda12x <https://pypi.org/project/cupy-cuda12x/>`__ version 13.4.1 or later
 9. `pyvistaqt <https://github.com/pyvista/pyvistaqt>`__ version 0.11.2 or later  
 10. `PyQt5 <https://riverbankcomputing.com/software/pyqt/intro>`__ version 5.15.11 or later  
 
@@ -45,8 +45,9 @@ Add-on Libs
 1. **ParaView**
 
 ParaView is a powerful beloved open-source visualization platform based on vtk that can be used to visualize the results of 3D FTLE computations. We also integrated the ParaView entrance into our GUI, so you can directly open ParaView from it. The ParaView installation-free package (v6.0) can be downloaded from `official <https://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v6.0&type=binary&os=Windows&downloadFile=ParaView-6.0.0-RC1-MPI-Windows-Python3.12-msvc2017-AMD64.zip>`__. 
+For already-installed ParaView, set environment variable ``PARAVIEW_PATH`` pointing to the root dir of ParaView to enable integration from GUI of ``Py3DFTLE``.
 
 Quickstart
 -----------------
 An computation example coming with a set of our in-house downscaled Direct Navier-Stokes Simulation (DNS) data is provided, including :math:
-The dataset can be downloaded from `here <https://noting.noting>`, and the case descriptions can be referred to paper [1]_.
+The dataset can be downloaded from `here <https://noting.noting>`, and the case descriptions can be referred to paper [1].