python.mod | Python module for Eggdrop

 by   bgilmore C Version: Current License: BSD-3-Clause

kandi X-RAY | python.mod Summary

kandi X-RAY | python.mod Summary

python.mod is a C library. python.mod has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Tcl is awful. Seriously, awful. This module allows you to write Eggdrop scripts in Python instead. This module is still very young, immature, and untested. Still, beats writing Tcl.
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              python.mod has a low active ecosystem.
              It has 6 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              python.mod has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python.mod is current.

            kandi-Quality Quality

              python.mod has 0 bugs and 0 code smells.

            kandi-Security Security

              python.mod has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python.mod code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python.mod is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python.mod releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            python.mod Key Features

            No Key Features are available at this moment for python.mod.

            python.mod Examples and Code Snippets

            No Code Snippets are available at this moment for python.mod.

            Community Discussions

            QUESTION

            mapping a keras model over a list of tibbles
            Asked 2020-Feb-14 at 20:21

            I have the below code which uses the iris data set to train a number of Machine Learning models:

            I want to make predictions for the keras model. The below code works and I am able to obtain predictions for all the models (except the keras model):

            When I uncomment the else if - keras part of the code I obtain "errors" or the model produces.

            ...

            ANSWER

            Answered 2020-Feb-11 at 23:38

            It seems to be an issue of not capturing all the attributes. If we do an assignment, it would work. Below, show a single case by using only the keras model (Make changes by wrapping with the if/else)

            Source https://stackoverflow.com/questions/60177798

            QUESTION

            Why am I getting an error importing os.walk in python2.7
            Asked 2020-Feb-05 at 09:46

            I need to recursively search directories/subdirectories on a Linux server for directories of specific names and retrieve the files within those specific directories. I have tried 2 approaches, one where I import os and call os.walk and another where I import walk from os. Code below:

            ...

            ANSWER

            Answered 2020-Feb-05 at 09:46

            The function should be imported from os.path:

            Source https://stackoverflow.com/questions/60058011

            QUESTION

            How do I get fluentd / elasticsearch to parse the "log" key_name as json from a kubernetes pod?
            Asked 2020-Jan-20 at 09:15

            I am having issues trying to get logs into elasticsearch from fluentd in a k8s cluster.

            I have several web applications which output their logs as json. Using a simple setup locally with docker containers I can get elastic to read and parse the logs correctly. Here is a sample of the local json shown in kibana:

            ...

            ANSWER

            Answered 2020-Jan-20 at 09:15

            To get around this I pulled and ran the fluent/fluentd-kubernetes-daemonset:v1.4.2-debian-elasticsearch-1.1 image locally in docker. Had to make sure I specified FLUENT_ELASTICSEARCH_USER and FLUENT_ELASTICSEARCH_PASSWORD as env variables on the initial run as the entrypoint.sh tries to substitute information in the containers fluent.conf file. If you don't specify a password it wipes out the information in the file.

            Then it was a case of exec'ing into the running container and adding the following information into fluent.conf:

            Source https://stackoverflow.com/questions/59785699

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python.mod

            Extract the python.mod directory into your Eggdrop source tree under src/mod. Edit src/mod/python.mod/Makefile to point to the proper include/lib paths for Python. From the root of the source tree, run make iconfig and enable the module. Build using make and/or make install. In eggdrop.conf use loadmodule python to enable the loadpython directive. Use loadpython to load and instantiate Python modules.
            Extract the python.mod directory into your Eggdrop source tree under src/mod
            Edit src/mod/python.mod/Makefile to point to the proper include/lib paths for Python
            From the root of the source tree, run make iconfig and enable the module
            Build using make and/or make install
            In eggdrop.conf use loadmodule python to enable the loadpython directive
            Use loadpython to load and instantiate Python modules

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/bgilmore/python.mod.git

          • CLI

            gh repo clone bgilmore/python.mod

          • sshUrl

            git@github.com:bgilmore/python.mod.git

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