pairwise | Java implementation of Combinatorial Test Case Generation | Testing library
kandi X-RAY | pairwise Summary
kandi X-RAY | pairwise Summary
Java implementation of Combinatorial Test Case Generation
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Generate a molecule inventory from an input stream
- Update the parameter positions field
- Process a single line
- Splits the given string into tokens
- Parse the contents of a scenario
- Update the parameter positions field
- Process a single line
- Splits the given string into tokens
- Updates all the counts of all the pairs in the scenario
- Returns an array containing the array of atoms assigned to this molecule
- Gets the unused molecule search
- Return the unused Molecule objects
- Get the full combination count
- Returns the set of parameterSets
- Log the current parameter values
- Get parameter values
- Returns the pair with the best unused molecule
- Gets the unused parameter index counts
- Get the test data set
- Compares two Molecule objects
- Returns a hash code of this molecule
- Returns a string representation of the molecule
- Gets the number of molecules in the system
- Set the number of atoms per molecule
- Returns the number of parameters
- Returns the value at the given index
- Returns the named parameter set
- Calculates the total number of molecules
pairwise Key Features
pairwise Examples and Code Snippets
Community Discussions
Trending Discussions on pairwise
QUESTION
I would like to group keys in a dictionary based on their respective similarity. I want to look for similarity within different keys, and if they are similar enough, group them. Probably by using some sort of similarity score. I am thus specifically not interested in how they values within those dictionary match up (in the example below I kept them the same). I have been looking at similarity scores using sklearn cosine_similarity, but I could not find a way to apply this to keys in a dictionary. Anyone any clues on this?
I made a test dictionary to show what I mean. Some keys are very similar, and I would like to group those. How to group those is beyond the point now, but let's say I would like to add the numbers up.
As always, many thanks!
...ANSWER
Answered 2021-Jun-12 at 19:44QUESTION
Is there a simple way to just print out or export the correlation matrix from a cor()
in basic R?
I can find ways to use pairs()
and corrplot()
to make very fancy representations of correlation matrices. However, I just want a basic table using the minimum amount of code so I can send it to my colleagues while I conduct exploratory data analysis. Currently I'm reduced to just copying and pasting, which has some problems when the number of variables gets too large. Here is the code I am using:
ANSWER
Answered 2021-Jun-12 at 19:09We can use write.csv
QUESTION
draw.pairwise.venn returns an image object, hence can't wrap it with CSS. Is there any way I can change background color of venn diagram.
...ANSWER
Answered 2021-Jun-11 at 13:42As suggested by @krfurlong ggvenn
package can be used to plot Venn diagrams, and customize your plot according to requirements with the help of ggplot2
.
you can install ggvenn by:
QUESTION
I am calculating the structure similarity profile between 2 moles using rdkit
. When I am running the program in google colab (rdkit=2020.09.2
python=3.7
) the program is working fine.
I am getting an error when I am running on my PC (rdkit=2021.03.2
python=3.8.5
). The error is a bit strange. The dataframe contains 500
rows and the code is working only for the first 10 rows (0-9) and for later rows I am getting an error
ANSWER
Answered 2021-Jun-09 at 05:40To answer first on how to install a specific version of Rdkit, you can run this command:
QUESTION
I have the code that I took from the example:
...ANSWER
Answered 2021-Jun-10 at 11:08There is an issue on ggstatsplot
's GitHub repo that answers this very question:
https://github.com/IndrajeetPatil/ggstatsplot/issues/605
QUESTION
I have 4 large matrixes of the same size A, B, C and D . Each matrix has n samples (columns) and n observations (rows).
...ANSWER
Answered 2021-Jun-03 at 16:45We may use asplit
to split by row and then construct the linear model by looping each of the split elements in Map
QUESTION
I am trying to use superscript in geom_text
. But I am unable to do that. I am using the following code
ANSWER
Answered 2021-Jun-06 at 10:58This could be achieved like so:
- Set
parse=TRUE
ingeom_text
- Make use of
?plotmath
to add superscripts to your labels
QUESTION
Consider the following Pyspark dataframe
Col1 Col2 Col3 A D G B E H C F IHow can I create the following dataframe which has all pairwise combinations of all the columns?
Col1 Col2 Col3 Col1_Col2_cross Col1_Col3_cross Col2_Col3_cross A D G A,D A,G D,G B E H B,E B,H E,H C F I C,F C,I F,I ...ANSWER
Answered 2021-Jun-03 at 16:00You can generate column combinations using itertools
:
QUESTION
I subscribe to an Observable
with a pairwise
pipe in order to get previous and new value.
But sometime I would like to tell the Observable
that the value has been updated without applying the subscribe
function. It will ensure that the previousValue
is always updated but without always applying the subscribe function.
ANSWER
Answered 2021-Jun-02 at 08:35You can try the filter
operator to filter the subscribed result
QUESTION
I work with large data sheets, in which I am trying to correlate all of the columns.
I achieve this using:
ANSWER
Answered 2021-May-31 at 16:04sum the entire table in both directions, and subtract the diagonal of 1's which is the sensors correlated with themselves.
Using your dfn
row four is
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pairwise
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page