step1安装环境时出现冲突以及下载失败问题

[KITAI19019]

如下：
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
ipython 7.34.0 requires jedi>=0.16, which is not installed.
numba 0.61.0 requires numpy<2.2,>=1.24, but you have numpy 2.2.2 which is incompatible.
google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.2.3 which is incompatible.
jupyter-server 1.24.0 requires anyio<4,>=3.1.0, but you have anyio 4.8.0 which is incompatible.
langchain 0.3.16 requires numpy<2,>=1.22.4; python_version < "3.12", but you have numpy 2.2.2 which is incompatible.
tensorflow 2.18.0 requires numpy<2.1.0,>=1.26.0, but you have numpy 2.2.2 which is incompatible.
gensim 4.3.3 requires numpy<2.0,>=1.18.5, but you have numpy 2.2.2 which is incompatible.
gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.12.0 which is incompatible.
pytensor 2.26.4 requires numpy<2,>=1.17.0, but you have numpy 2.2.2 which is incompatible.
notebook 6.5.5 requires pyzmq<25,>=17, but you have pyzmq 26.2.1 which is incompatible.
thinc 8.2.5 requires numpy<2.0.0,>=1.19.0; python_version >= "3.9", but you have numpy 2.2.2 which is incompatible.

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
scikit-image 0.25.1 requires imageio!=2.35.0,>=2.33, but you have imageio 2.4.1 which is incompatible.
moviepy 1.0.3 requires imageio<3.0,>=2.5; python_version >= "3.4", but you have imageio 2.4.1 which is incompatible.

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-colab 1.0.0 requires pandas==2.2.2, but you have pandas 2.2.3 which is incompatible.
langchain 0.3.16 requires numpy<2,>=1.22.4; python_version < "3.12", but you have numpy 2.1.3 which is incompatible.
tensorflow 2.18.0 requires numpy<2.1.0,>=1.26.0, but you have numpy 2.1.3 which is incompatible.
gensim 4.3.3 requires numpy<2.0,>=1.18.5, but you have numpy 2.1.3 which is incompatible.
pytensor 2.26.4 requires numpy<2,>=1.17.0, but you have numpy 2.1.3 which is incompatible.
thinc 8.2.5 requires numpy<2.0.0,>=1.19.0; python_version >= "3.9", but you have numpy 2.1.3 which is incompatible.
等