eNMS | grade vendor-agnostic network automation platform | Automation library

 by   eNMS-automation Python Version: v4.2 License: GPL-3.0

kandi X-RAY | eNMS Summary

kandi X-RAY | eNMS Summary

eNMS is a Python library typically used in Automation, Ansible, Docker applications. eNMS has a Strong Copyleft License and it has medium support. However eNMS has 104 bugs, it has 1 vulnerabilities and it build file is not available. You can download it from GitHub.

eNMS is a vendor-agnostic NMS designed for building workflow-based network automation solutions.
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            kandi-support Support

              eNMS has a medium active ecosystem.
              It has 744 star(s) with 147 fork(s). There are 72 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 20 open issues and 222 have been closed. On average issues are closed in 69 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of eNMS is v4.2

            kandi-Quality Quality

              eNMS has 104 bugs (0 blocker, 1 critical, 31 major, 72 minor) and 99 code smells.

            kandi-Security Security

              eNMS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              OutlinedDot
              eNMS code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).
              There are 23 security hotspots that need review.

            kandi-License License

              eNMS is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              eNMS releases are available to install and integrate.
              eNMS has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              eNMS saves you 5892 person hours of effort in developing the same functionality from scratch.
              It has 12305 lines of code, 441 functions and 141 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed eNMS and discovered the below as its top functions. This is intended to give you an instant insight into eNMS implemented functionality, and help decide if they suit your requirements.
            • Configure blueprint routes
            • Return a dictionary representation of the object
            • Get the model s properties
            • Post processing
            • Return the list of workflow services
            • Returns a queryset matching criteria
            • Filter the query s relationship constraints
            • Generate filters for filtering
            • Run a single job
            • Start the run
            • Run the scraper
            • Run a single command
            • Get the state of a service
            • Runs the command
            • Compile python code
            • Run a PING command
            • Fetch values from the device
            • Sends Ansible playbook
            • Sends a command to a remote device
            • Run a single query
            • Register routes
            • Send a NETCONF request
            • Sends a shell script to the device
            • Fetch a single instance
            • Create a transaction factory
            • Fetch a single object from the database
            • Create a web connection
            Get all kandi verified functions for this library.

            eNMS Key Features

            No Key Features are available at this moment for eNMS.

            eNMS Examples and Code Snippets

            No Code Snippets are available at this moment for eNMS.

            Community Discussions

            QUESTION

            Given N people, some of which are enemies, find number of intervals with no enemies
            Asked 2020-Jul-13 at 15:21

            A friend gave me this problem as a challenge, and I've tried to find a problem like this on LeetCode, but sadly could not.

            Question

            Given a line of people numbered from 1 to N, and a list of pairs of M enemies, find the total number of sublines with people that contain no two people that are enemies.

            Example: N = 5, enemies = [[3,4], [3,5]]

            Answer: 9

            Explanation: These continuous subintervals are:

            [1,1], [2,2], [3,3], [1,2], [2,3], [1,3], [4,4], [4,5], [5,5]

            My approach

            We define a non-conflicting interval as a contiguous interval from (and including) [a,b] where no two people are enemies in that interval.

            Working backwards, if I know there is a non conflicting interval from [1,3] like in the example given above, I know the number of contiguous intervals between those two numbers is n(n+1)/2 where n is the length of the interval. In this case, the interval length is 3, and so there are 6 intervals between (and including) [1,3] that count.

            Extending this logic, if I have a list of all non-conflicting intervals, then the answer is simply the sum of (n_i*(n_i+1))/2 for every interval length n_i.

            Then all I need to do is find these intervals. This is where I'm stuck.

            I can't really think of a similar programming problem. This seems similar, but the opposite of what the Merge Intervals problem on leetcode asks for. In that problem we're sorta given the good intervals and are asked to combine them. Here we're given the bad.

            Any guidance?

            EDIT: Best I could come up with:

            Does this work?

            So let's define max_enemy[i] as the largest enemy that is less that a particular person i, where i is the usual [1,N]. We can generate this value in O(M) time simply using a the following loop:

            ...

            ANSWER

            Answered 2020-Jul-13 at 15:21

            There's a cool visual way to see this!

            Instead of focusing the line, let's look at the matrix of pairs of players. If ii and j are enemies, then the effect of this enemiship is precisely to eliminate from consideration (1) this interval, and (2) any interval strictly larger than it. Because enemiship is symmetric, we may as well just look at the upper-right half of the matrix, and the diagonal; we'll use the characters

            • "X" to denote that a pair is enemies,
            • "*" to indicate that a pair has been obscured by a pair of enemies, and
            • "%" in the lower half to mark it as not part of the upper-half matrix.

            For the two examples in your code, observe their corresponding matrices:

            Source https://stackoverflow.com/questions/62866813

            QUESTION

            automigration create database name 'undefined', create tables within 'undefined' database in loopback-connector-cassandra
            Asked 2019-Dec-19 at 08:35

            I am trying to auto create table from the model using loopback 3 framework with cassandra database and experiencing some problem to connecting datasource with cassandra datasource.json

            ...

            ANSWER

            Answered 2019-Dec-19 at 08:35

            The error you posted suggests that your application is attempting to run queries after you've closed the session or disconnected from the cluster.

            If you share some of the relevant sections of your application code, contributors here would be able to assist you better. Cheers!

            Source https://stackoverflow.com/questions/59385791

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

            Vulnerabilities

            No vulnerabilities reported

            Install eNMS

            You can download it from GitHub.
            You can use eNMS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/eNMS-automation/eNMS.git

          • CLI

            gh repo clone eNMS-automation/eNMS

          • sshUrl

            git@github.com:eNMS-automation/eNMS.git

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