![]() ![]() Where pipreqs fails: Traceback (most recent call last):įile "c:\anaconda36\envs\tensorflow\lib\runpy.py", line 193, in _run_module_as_mainįile "c:\anaconda36\envs\tensorflow\lib\runpy.py", line 85, in _run_codeįile "C:\Anaconda36\envs\tensorflow\Scripts\pipreqs.exe\_main_.py", line 9, in įile "c:\anaconda36\envs\tensorflow\lib\site-packages\pipreqs\pipreqs.py", line 396, in mainįile "c:\anaconda36\envs\tensorflow\lib\site-packages\pipreqs\pipreqs.py", line 341, in initįile "c:\anaconda36\envs\tensorflow\lib\site-packages\pipreqs\pipreqs.py", line 91, in get_all_importsįile "c:\anaconda36\envs\tensorflow\lib\site-packages\pipreqs\pipreqs.py", line 77, in get_all_importsįile "c:\anaconda36\envs\tensorflow\lib\ast. Packages that seem to be specific to python 2.x: Get all modules/packages used by a python project Return a list of imported Python modules used in a script? Questions that are similar but python 2.x: I'm aware that pip freeze shows me every packages installed, but that's not what I'm looking for - there could be a package installed that isn't required to run the test.py script. Is there an automated way to get a list of all packages required to run the route script (test.py)? Each of the subTest files have their own imports (possibly both other files and packages). import numpy as np) but it also imports some other files, lets call them subTest1.py and subTest2.py. I have a python file, call it test.py, it has a number of package imports (eg. "fn": "jupyterlab-3.6.1-pyhd8ed1ab_0.There's a few of these question I've read through, but they all seem to link to methods exclusively for python 2.x and I'm working in python 3.x. ![]() This is done automatically for example by pyenv local 2.7.10. This is explained in a closed GitHub issue. "md5": "1a9cd36192678fc2175145c9103b95ff", python-version file to be set in the current directory for any other version than the default in. Windows) do not like single quotes, so using double quotes is safer.įinally, if you intend to use the output in a program, to avoid parsing the results one can use -json: conda search -c conda-forge -override-channels -json "jupyterlab>=3.6" For example: conda search -c conda-forge "jupyterlab>=3.5" Note that the most recent version is placed at the bottom of the list (they are sorted in ascending chronological order), so it can be found using tail -n1, e.g.: $ conda search "conda-forge::*" | tail -n1 | awk ". Scikit-learn 0.22 p圓7hcdab131_1 conda-forge To count all installed packages run: sudo yum list installed wc -l. Show information about all installed packages on CentOS, run: sudo yum list installed. ![]() For remote server log in using the ssh command: ssh usercentos-linux-server-IP-here. Scikit-learn 0.22 p圓7hcdab131_0 conda-forge The procedure is as follows to list installed packages: Open the terminal app. ![]() To trim down the long and slowly loading conda search output to just the (latest) version(s) appropriate for your environment, you can use MatchSpec filters, as documented here in conda Github repoįor example: $ conda search "conda-forge::*" | tail -n5 ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |