fossor | oriented tool for automating the investigation of broken | Automation library
kandi X-RAY | fossor Summary
kandi X-RAY | fossor Summary
A plugin-oriented tool for automating the investigation of broken hosts and services.
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Top functions reviewed by kandi - BETA
- Runs the simulation
- Compute the anomaly distribution
- Get the line counts for each file
- Get the line counts for a given time range
- Run the plugin
- Process whitelist
- Remove plugins from blacklist
- Run plugins in parallel
- Run the SAR interface
- Execute shell command
- Parse sar output
- Add command line options
- Add dynamic arguments to a function
- Parse dynamic args
- Set the start time
- Checks if values are within two sigma values
- Runs the dmesg output
- Return the number of rows in the stty table
- Runs the given function
- Calculate the number of threads per user
- Run buddy info
- Gather common log patterns from a given file
- Checks volume availability
- Run CPU
- Print the progress
- Runs the critical memory usage
fossor Key Features
fossor Examples and Code Snippets
Community Discussions
Trending Discussions on fossor
QUESTION
I have 2 dataframes: all_species
(155 obs, 1 var) and all_taxa
(33124 obs, 8 variables). What I want to do is find the observation present in all_species$species
column in the all_taxa$species
column and only keep those observations in the all_taxa
dataframe resulting in 155 obs of 8 variables.
What I've done so far is create 2 vectors:
...ANSWER
Answered 2019-May-16 at 21:33Difficult to know for sure without reproducible datasets, but I think this should work:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fossor
Fossor has the following requirements:. These instructions were tested on CentOS 7. Install tested against Ubuntu 17.10, which includes a Python 3.6 system installation.
Python 3.6 or higher
python-devel packages
Once the requirements from above are installed, install Fossor using one of the commands below:.
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