Pg config where is

Hi mishraanuj you're using python3. So, try to downgrade python to version 3. You can also do it with pip install credentialdigger. I don't know what packages termux supports and doesn't support, but if it doesn't support psycopg2-binary you can remove it from requirements.

Anyway, I'm not sure that hyperscan is supported by termux, and without hyperscan the project doesn't work it is needed by the scanner. Sorry, something went wrong. I was also getting the same issue in my Ubuntu device, I got the solution here for psycopg2 error install ubuntu. Skip to content. I have also installed PostgreSQL 9. Complete output from command python setup. It could be done as a string-manipulation no need to compute working directories : start by finding the longest common prefix which ends with a path-separator.

Edit: Just ran through this again, and have an easier way. They should be able to work together now. A Google search reveals two links that might be helpful: Cooperative path planning for multi-robot systems in dynamic domains Optimizing schedules for prioritized path planning of multi-robot systems Edit: From the book chapter first link : There are various approaches to path planning in multi-robot system [sic], however, finding the optimal solution is NP-hard.

Yu Sasaki. Only authorized users can answer the question. Please sign in first, or register a free account. Not the answer you're looking for? Browse other questions tagged : python. Report a Documentation Bug.

Ensure you have a realistic number of placement groups. We recommend approximately per OSD. The maximum number of placement groups per pool. Number of seconds after which PGs can be considered as being stuck. Do not warn if the total number of RADOS objects in cluster is below this number type int default The default flags for new pools.

The minimum number of placement group logs to maintain when trimming log files. The maximum number of placement group logs to maintain when trimming log files. The time in seconds for an OSD to wait for a client to replay a request.