我正在使用 Miniconda 并创建了一个环境 按照文档：
conda create -c conda-forge -n pypy-env pypy python=3.9
conda activate pypy-env
conda config --set channel_priority strict
安装我需要的软件包后，安装 scikit-learn-intelex 返回：
(pypy-env) C:\Users\joh69694>conda install --name pypy-env -c conda-forge scikit-learn-intelex
Channels:
- conda-forge
- defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: | warning libmamba Problem type not implemented SOLVER_RULE_STRICT_REPO_PRIORITY
done
## Package Plan ##
environment location: C:\Users\joh69694\AppData\Local\miniconda3\envs\pypy-env
added / updated specs:
- scikit-learn-intelex
The following NEW packages will be INSTALLED:
daal4py conda-forge/win-64::daal4py-2023.2.1-py39h6d95a06_0
pyqt conda-forge/win-64::pyqt-5.15.9-py39hb77abff_4
pyqt5-sip conda-forge/win-64::pyqt5-sip-12.12.2-py39h99910a6_4
scikit-learn conda-forge/win-64::scikit-learn-1.3.0-py39hfa9d973_0
scikit-learn-inte~ conda-forge/win-64::scikit-learn-intelex-2023.2.1-py39hcbf5309_0
The following packages will be REMOVED:
pypy-7.3.12-0_pypy39
pypy3.9-7.3.12-h994e1e7_3
The following packages will be UPDATED:
jupyter_client 5.3.3-py_0 --> 8.3.1-pyhd8ed1ab_0
jupyter_core conda-forge/noarch::jupyter_core-4.5.~ --> conda-forge/win-64::jupyter_core-5.3.1-py39hcbf5309_0
pandas 2.0.3-py39haf6a60e_1 --> 2.1.0-py39h32e6231_0
python 3.9.17-0_73_pypy --> 3.9.18-h4de0772_0_cpython
The following packages will be DOWNGRADED:
argon2-cffi-bindi~ 21.2.0-py39h7a188e9_3 --> 21.2.0-py39ha55989b_3
brotli-python 1.0.9-py39h3665ca7_9 --> 1.0.9-py39h99910a6_9
cffi 1.15.1-py39h68485e5_3 --> 1.15.1-py39h68f70e3_3
contourpy 1.1.0-py39h314d263_0 --> 1.1.0-py39h1f6ef14_0
debugpy 1.6.8-py39h3665ca7_0 --> 1.6.8-py39h99910a6_0
fonttools 4.42.1-py39h7a188e9_0 --> 4.42.1-py39ha55989b_0
imagecodecs 2023.8.12-py39h8ff80d2_0 --> 2023.8.12-py39had998c7_0
kiwisolver 1.4.5-py39h314d263_0 --> 1.4.5-py39h1f6ef14_0
markupsafe 2.1.3-py39h7a188e9_0 --> 2.1.3-py39ha55989b_0
matplotlib 3.7.2-py39h0d475fb_0 --> 3.7.2-py39hcbf5309_0
matplotlib-base 3.7.2-py39h2392a8f_0 --> 3.7.2-py39ha3e071c_0
numpy 1.25.2-py39h821adfb_0 --> 1.25.2-py39h816b6a6_0
pillow 10.0.0-py39hf8900f3_0 --> 10.0.0-py39ha9166d5_0
psutil 5.9.5-py39h7a188e9_0 --> 5.9.5-py39ha55989b_0
python_abi 3.9-3_pypy39_pp73 --> 3.9-3_cp39
pywavelets 1.4.1-py39h8942a9a_0 --> 1.4.1-py39hc266a54_0
pywin32 304-py39h0d475fb_2 --> 304-py39h99910a6_2
pywinpty 2.0.11-py39h3665ca7_0 --> 2.0.11-py39h99910a6_0
pyyaml 6.0.1-py39h7a188e9_0 --> 6.0.1-py39ha55989b_0
pyzmq 25.1.1-py39hc8fc7ba_0 --> 25.1.1-py39hea35a22_0
rpds-py 0.10.0-py39h3fc3a88_0 --> 0.10.0-py39hf21820d_0
scikit-image 0.21.0-py39h3665ca7_0 --> 0.21.0-py39h99910a6_0
scipy 1.11.2-py39hbf2a3dc_0 --> 1.11.2-py39hde5eda1_0
sip 6.7.11-py39h3665ca7_0 --> 6.7.11-py39h99910a6_0
tornado 6.3.3-py39h7a188e9_0 --> 6.3.3-py39ha55989b_0
unicodedata2 15.0.0-py39h7a188e9_0 --> 15.0.0-py39ha55989b_0
Proceed ([y]/n)? y
如果我继续并尝试随后重新安装 PyPy，则会返回：
(pypy-env) C:\Users\joh69694>conda install --name pypy-env -c conda-forge pypy
Channels:
- conda-forge
- defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\joh69694\AppData\Local\miniconda3\envs\pypy-env
added / updated specs:
- pypy
The following NEW packages will be INSTALLED:
pypy conda-forge/noarch::pypy-7.3.12-0_pypy39
pypy3.9 conda-forge/win-64::pypy3.9-7.3.12-h994e1e7_3
The following packages will be REMOVED:
daal4py-2023.2.1-py39h6d95a06_0
pyqt-5.15.9-py39hb77abff_4
pyqt5-sip-12.12.2-py39h99910a6_4
scikit-learn-1.3.0-py39hfa9d973_0
scikit-learn-intelex-2023.2.1-py39hcbf5309_0
The following packages will be SUPERSEDED by a higher-priority channel:
jupyter_core conda-forge/win-64::jupyter_core-5.3.~ --> conda-forge/noarch::jupyter_core-4.5.0-py_0
The following packages will be DOWNGRADED:
argon2-cffi-bindi~ 21.2.0-py39ha55989b_3 --> 21.2.0-py39h7a188e9_3
brotli-python 1.0.9-py39h99910a6_9 --> 1.0.9-py39h3665ca7_9
cffi 1.15.1-py39h68f70e3_3 --> 1.15.1-py39h68485e5_3
contourpy 1.1.0-py39h1f6ef14_0 --> 1.1.0-py39h314d263_0
debugpy 1.6.8-py39h99910a6_0 --> 1.6.8-py39h3665ca7_0
fonttools 4.42.1-py39ha55989b_0 --> 4.42.1-py39h7a188e9_0
imagecodecs 2023.8.12-py39had998c7_0 --> 2023.8.12-py39h8ff80d2_0
jupyter_client 8.3.1-pyhd8ed1ab_0 --> 5.3.3-py_0
kiwisolver 1.4.5-py39h1f6ef14_0 --> 1.4.5-py39h314d263_0
markupsafe 2.1.3-py39ha55989b_0 --> 2.1.3-py39h7a188e9_0
matplotlib 3.7.2-py39hcbf5309_0 --> 3.7.2-py39h0d475fb_0
matplotlib-base 3.7.2-py39ha3e071c_0 --> 3.7.2-py39h2392a8f_0
numpy 1.25.2-py39h816b6a6_0 --> 1.25.2-py39h821adfb_0
pandas 2.1.0-py39h32e6231_0 --> 2.0.3-py39haf6a60e_1
pillow 10.0.0-py39ha9166d5_0 --> 10.0.0-py39hf8900f3_0
psutil 5.9.5-py39ha55989b_0 --> 5.9.5-py39h7a188e9_0
python 3.9.18-h4de0772_0_cpython --> 3.9.17-0_73_pypy
python_abi 3.9-3_cp39 --> 3.9-3_pypy39_pp73
pywavelets 1.4.1-py39hc266a54_0 --> 1.4.1-py39h8942a9a_0
pywin32 304-py39h99910a6_2 --> 304-py39h0d475fb_2
pywinpty 2.0.11-py39h99910a6_0 --> 2.0.11-py39h3665ca7_0
pyyaml 6.0.1-py39ha55989b_0 --> 6.0.1-py39h7a188e9_0
pyzmq 25.1.1-py39hea35a22_0 --> 25.1.1-py39hc8fc7ba_0
rpds-py 0.10.0-py39hf21820d_0 --> 0.10.0-py39h3fc3a88_0
scikit-image 0.21.0-py39h99910a6_0 --> 0.21.0-py39h3665ca7_0
scipy 1.11.2-py39hde5eda1_0 --> 1.11.2-py39hbf2a3dc_0
sip 6.7.11-py39h99910a6_0 --> 6.7.11-py39h3665ca7_0
tornado 6.3.3-py39ha55989b_0 --> 6.3.3-py39h7a188e9_0
unicodedata2 15.0.0-py39ha55989b_0 --> 15.0.0-py39h7a188e9_0
Proceed ([y]/n)?
尝试安装标准 scikit-learn 结果相同。我该如何解决这个问题？
scikit-learn 在 PyPy 的 conda 上不可用。如果您想使用它，则必须从源代码构建。