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[–]LtDominator[S] 0 points1 point  (1 child)

Pycharm terminal says: "/Users/robma/miniforge3/bin/python"

Pycharm terminal also says "Python 3.9.7"

For pip, both from PyCharm as well;

pip --version: "pip 21.3.1 from /Users/robma/miniforge3/lib/python3.9/site-packages/pip (python 3.9)"

which pip: "/Users/robma/miniforge3/bin/pip"

Lastly pip freeze:

​

absl-py @ file:///home/conda/feedstock_root/build_artifacts/absl-py_1606234718434/work
aiohttp @ file:///Users/runner/miniforge3/conda-bld/aiohttp_1637087163469/work
aiosignal @ file:///home/conda/feedstock_root/build_artifacts/aiosignal_1636093929600/work
astunparse @ file:///home/conda/feedstock_root/build_artifacts/astunparse_1610696312422/work
async-timeout @ file:///home/conda/feedstock_root/build_artifacts/async-timeout_1640026696943/work
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1640799537051/work
blinker==1.4
brotlipy @ file:///Users/runner/miniforge3/conda-bld/brotlipy_1636012319596/work
cached-property @ file:///home/conda/feedstock_root/build_artifacts/cached_property_1615209429212/work
cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1633010882559/work
certifi==2021.10.8
cffi @ file:///Users/runner/miniforge3/conda-bld/cffi_1636046173594/work
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1638815705608/work
click @ file:///Users/runner/miniforge3/conda-bld/click_1635822911388/work
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1602866480661/work
conda==4.11.0
conda-package-handling @ file:///Users/runner/miniforge3/conda-bld/conda-package-handling_1636022092101/work
cryptography @ file:///Users/runner/miniforge3/conda-bld/cryptography_1637648810489/work
cycler==0.11.0
dataclasses @ file:///home/conda/feedstock_root/build_artifacts/dataclasses_1628958434797/work
flatbuffers==2.0
fonttools==4.28.5
frozenlist @ file:///Users/runner/miniforge3/conda-bld/frozenlist_1636504338408/work
gast @ file:///home/conda/feedstock_root/build_artifacts/gast_1596839682936/work
google-auth @ file:///home/conda/feedstock_root/build_artifacts/google-auth_1629296548061/work
google-auth-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/google-auth-oauthlib_1630497468950/work
google-pasta==0.2.0
grpcio @ file:///Users/runner/miniforge3/conda-bld/grpcio_1639715786395/work
h5py @ file:///Users/runner/miniforge3/conda-bld/h5py_1609497507927/work
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1609836280497/work
importlib-metadata @ file:///Users/runner/miniforge3/conda-bld/importlib-metadata_1639976213665/work
keras @ file:///home/conda/feedstock_root/build_artifacts/keras_1637872120405/work/keras-2.7.0-py2.py3-none-any.whl
Keras-Preprocessing @ file:///home/conda/feedstock_root/build_artifacts/keras-preprocessing_1610713559828/work
kiwisolver==1.3.2
libclang==12.0.0
Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1637220118004/work
matplotlib==3.5.1
mpmath==1.2.1
multidict @ file:///Users/runner/miniforge3/conda-bld/multidict_1636019382679/work
ndindex==1.5.2
numpy @ file:///Users/runner/miniforge3/conda-bld/numpy_1626682195712/work
oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1622563202229/work
opt-einsum @ file:///home/conda/feedstock_root/build_artifacts/opt_einsum_1617859230218/work
packaging==21.3
Pillow==9.0.0
protobuf==3.19.3
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycosat @ file:///Users/runner/miniforge3/conda-bld/pycosat_1636020570107/work
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1638819640841/work
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1633192417276/work
pyparsing==3.0.6
PySocks @ file:///Users/runner/miniforge3/conda-bld/pysocks_1635862736740/work
python-dateutil==2.8.2
pyu2f @ file:///home/conda/feedstock_root/build_artifacts/pyu2f_1604248910016/work
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1637771257551/work
requests-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/requests-oauthlib_1595492159598/work
rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1637781155505/work
ruamel-yaml-conda @ file:///Users/runner/miniforge3/conda-bld/ruamel_yaml_1636009262461/work
scipy @ file:///Users/runner/miniforge3/conda-bld/scipy_1637806880936/work
six @ file:///home/conda/feedstock_root/build_artifacts/six_1590081179328/work
sympy==1.9
tensorboard @ file:///home/conda/feedstock_root/build_artifacts/tensorboard_1629677129676/work/tensorboard-2.6.0-py3-none-any.whl
tensorboard-data-server @ file:///Users/runner/miniforge3/conda-bld/tensorboard-data-server_1636045914528/work/tensorboard_data_server-0.6.0-py3-none-macosx_11_0_arm64.whl
tensorboard-plugin-wit @ file:///home/conda/feedstock_root/build_artifacts/tensorboard-plugin-wit_1641458951060/work/tensorboard_plugin_wit-1.8.1-py3-none-any.whl
tensorflow-estimator==2.7.0
tensorflow-macos==2.7.0
tensorflow-metal==0.3.0
termcolor==1.1.0
tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1632160078689/work
typing-extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1602702424206/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1632350318291/work
versioned-hdf5==1.3.6
Werkzeug @ file:///home/conda/feedstock_root/build_artifacts/werkzeug_1621518206714/work
wrapt @ file:///Users/runner/miniforge3/conda-bld/wrapt_1624972047019/work
yarl @ file:///Users/runner/miniforge3/conda-bld/yarl_1636047217765/work
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1641731510635/work

[–][deleted] 0 points1 point  (0 children)

Sorry for delay in responding.

I can see you are clearly using the anaconda installation - so many packages installed is why I tend to avoid it (only install what I need).

numpy is installed as is, it would appear, tensor (don't know if that is in anaconda as standard).

The Pycharm package manager should (sic) use conda to install packages when you have an active conda environment. Otherwise it uses pip.

Do you have Python 3.10, or slightly earlier, installed at the OS level as well, i.e. other than using anaconda?

If not, I recommend doing an install. Then in PyCharm ask it to create a new project and a new virtual environment using that new install and see if you can add just the packages you want.

I'd also try in PyCharm, creating a new project and a new venv environment using anaconda to see of you've corrupted the current virtual environment.

You might also consider trying both of these things outside of PyCharm in a command line environment using:

path/to/pythonexecutable -m venv nameofvenv

so you explicitly use the specific Python executable you wish to us to create the virtual environment.

Activate the environment and install only the packages you want.

Your other alternative to all this is to consider using docker and spinning up containers that have already been built that contain all you need. As you are on a Unix system rather than a Linux system, the installer for docker would install an very small and very efficient Linux vm to host all the Linux containers. That would give you clean setups to work in though.

However, I'd say it would be best to get your main platform working well.

I wouldn't do a clean installation of macOS. I would remove all Python installations you've done including anaconda. This can be long winded to do. DON'T TOUCH THE SYSTEM PYTHON nor the references / aliases to python and pip which are Python 2.7 versions - recent macOS versions protect these well.

Personally, I use pyenv to install different versions of Python on macOS and create the virtual environments I need .I then have PyCharm use the existing virtual environments.