Open sgbaird opened 1 year ago
(base) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo> conda create -n olymp python==3.9.* Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Users\sterg\Miniconda3\envs\olymp added / updated specs: - python=3.9 The following NEW packages will be INSTALLED: ca-certificates pkgs/main/win-64::ca-certificates-2022.10.11-haa95532_0 None certifi pkgs/main/win-64::certifi-2022.9.24-py39haa95532_0 None openssl pkgs/main/win-64::openssl-1.1.1s-h2bbff1b_0 None pip pkgs/main/win-64::pip-22.2.2-py39haa95532_0 None python pkgs/main/win-64::python-3.9.13-h6244533_2 None setuptools pkgs/main/win-64::setuptools-65.5.0-py39haa95532_0 None sqlite pkgs/main/win-64::sqlite-3.39.3-h2bbff1b_0 None tzdata pkgs/main/noarch::tzdata-2022f-h04d1e81_0 None vc pkgs/main/win-64::vc-14.2-h21ff451_1 None vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 None wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0 None wincertstore pkgs/main/win-64::wincertstore-0.2-py39haa95532_2 None Proceed ([y]/n)? y Preparing transaction: done Verifying transaction: done Executing transaction: done # # To activate this environment, use # # $ conda activate olymp # # To deactivate an active environment, use # # $ conda deactivate Retrieving notices: ...working... done (base) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo> conda activate olymp (olymp) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo> pip install olymp[all] Collecting olymp[all] Using cached olymp-0.0.1b0-py3-none-any.whl (4.8 MB) Collecting numpy Downloading numpy-1.23.4-cp39-cp39-win_amd64.whl (14.7 MB) ━━━━━━━━━ 14.7/14.7 5.6 MB/s eta 0:00:00 MB Collecting pandas Downloading pandas-1.5.1-cp39-cp39-win_amd64.whl (10.9 MB) ━━━━━━━━━ 10.9/10.9 6.2 MB/s eta 0:00:00 MB Collecting deap Downloading deap-1.3.3-cp39-cp39-win_amd64.whl (114 kB) ━━━━━━━━━ 114.3/11… 6.5 MB/s eta 0:00:00 kB Collecting seaborn Using cached seaborn-0.12.1-py3-none-any.whl (288 kB) Collecting tensorflow-probability==0.8 Downloading tensorflow_probability-0.8.0-py2.py3-none-any.whl (2.5 MB) ━━━━━━━━━ 2.5/2.5 5.4 MB/s eta 0:00:00 MB Collecting pyswarms Downloading pyswarms-1.3.0-py2.py3-none-any.whl (104 kB) ━━━━━━━━━━━━ 104.1/104.1 ? eta 0:00:00 kB Collecting sqlalchemy Downloading SQLAlchemy-1.4.44-cp39-cp39-win_amd64.whl (1.6 MB) ━━━━━━━━━ 1.6/1.6 5.6 MB/s eta 0:00:00 MB Collecting hyperopt Downloading hyperopt-0.2.7-py2.py3-none-any.whl (1.6 MB) ━━━━━━━━━ 1.6/1.6 5.9 MB/s eta 0:00:00 MB Collecting phoenics Downloading phoenics-0.2.0.tar.gz (177 kB) ━━━━━━━━━ 177.7/17… 5.4 MB/s eta 0:00:00 kB Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [6 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\sterg\AppData\Local\Temp\pip-install-j1gm7ni6\phoenics_cd91286c19644e1382e889fb4f980ef6\setup.py", line 5, in <module> import numpy as np ModuleNotFoundError: No module named 'numpy' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details
(olymp) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo> pip install numpy pandas Collecting numpy Using cached numpy-1.23.4-cp39-cp39-win_amd64.whl (14.7 MB) Collecting pandas Using cached pandas-1.5.1-cp39-cp39-win_amd64.whl (10.9 MB) Collecting pytz>=2020.1 Downloading pytz-2022.6-py2.py3-none-any.whl (498 kB) ━━━━━━━━━ 498.1/49… 2.6 MB/s eta 0:00:00 kB Collecting python-dateutil>=2.8.1 Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) Collecting six>=1.5 Using cached six-1.16.0-py2.py3-none-any.whl (11 kB) Installing collected packages: pytz, six, numpy, python-dateutil, pandas Successfully installed numpy-1.23.4 pandas-1.5.1 python-dateutil-2.8.2 pytz-2022.6 six-1.16.0 (olymp) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo> pip install olymp[all] Collecting olymp[all] Using cached olymp-0.0.1b0-py3-none-any.whl (4.8 MB) Requirement already satisfied: pandas in c:\users\sterg\miniconda3\envs\olymp\lib\site-packages (from olymp[all]) (1.5.1) Requirement already satisfied: numpy in c:\users\sterg\miniconda3\envs\olymp\lib\site-packages (from olymp[all]) (1.23.4) Collecting SQSnobFit Downloading SQSnobFit-0.4.5.tar.gz (29 kB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting sqlalchemy Using cached SQLAlchemy-1.4.44-cp39-cp39-win_amd64.whl (1.6 MB) ERROR: Could not find a version that satisfies the requirement tensorflow==1.15; extra == "all" (from olymp[all]) (from versions: 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.7.2, 2.7.3, 2.7.4, 2.8.0rc0, 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.8.3, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1, 2.9.2, 2.10.0rc0, 2.10.0rc1, 2.10.0rc2, 2.10.0rc3, 2.10.0, 2.11.0rc0, 2.11.0rc1, 2.11.0rc2) ERROR: No matching distribution found for tensorflow==1.15; extra == "all" (olymp) PS C:\Users\sterg\Documents\GitHub\sparks-baird\self-driving-lab-demo>
Using python 3.7 helped me solve this problem.
https://stackoverflow.com/questions/61491893/i-cannot-install-tensorflow-version-1-15-through-pip