optics | Metrics gathering thingy | Analytics library

I am trying to fit OPTICS clustering model to my data using python's sklearn

I am trying to use programming to increase my understanding of Fourier optics. I know that physically and mathematically the Fourier transform of a Fourier transform is inverted -> F{F{f(x)} = f(-x). I am having two problems 1) The second transform doesn't return anything like the original function except in the simple gaussian case (which makes it even more confusing), and 2) there seems to be some scaling factor that requires me to "zoom in" and distort the transformed image to a point that it is much less helpful (as illustrated below). **Editted with suggestions from @Cris Luengo

I am an international graduate student who is studying optics recently. I got an HW problem that asks me to solve an optics problem using Python.

Basically, I have to multiply three matrices and plot wavelength (X-Axis) Vs. one component of the final matrix.

So,

I have a certain range of variable (500~600) which will be my X-axis.

There are three matrices I12 L2 I23

All of them are 2x2 matrices.

in L2 Matrice, the variable lam (the x-axis variable) is used.

I think that is why I get an error message. Basically, this(L2 matrix) should be an array of matrices but I don't know how to do this while I12 and I23 matrices are only one without variables that have a range.

[So the final result should be like this photo.][1]

Wish this is still understandable. Please understand that English is not my first language.

I have attached my code below.

I have an array that has duplicate values which I want to turn into an object which contains only unique values, and uses the values in the array as both key and value.

In my example below I can create an object containing only unique values but I can't figure out how to get to an object that instead of

I use a Venn Diagram to visualize the overlap between values_one and values_two.

The default outcome is black-and-white, but I want to fill it with colors. Based on this tutorial, I use RColorBrewer; however, I get the following error message:

Error in VennDiagram::draw.pairwise.venn(area1 = length(x[1]), area2 = length(x[[2]]), : Unexpected parameter length for 'fill'

What did I do wrong, how can I fix it?

Thank you for your help!

I want to use the MarkLogic optic API to join two range indexes but somehow they don't join. Is the query I wrote wrong or can't I compare the indexes used?

I have two indexes defined:

• an element-attribute range index x/@refid
• a range field index 'id'

Both are of type string and have the same collation defined. Both indexes have data that I can retrieve with cts:values() function. Both are huge indexes and I want to join them using optics so I have constructed the following query :

I need a Fold (Map k v) (k, v) optic. Is there a way to obtain it with the "optics" library? If not, is there one with "lens"?

Given this (extremely simplified) code :

I have some test related classes that I want to exclude from the compiled jar output for a project. This is a legacy project and I don't want to lose existing revision history by moving the classes to src/test. Since I am already using build-helper-maven-plugin I thought I would be able to specify an exclusion pattern there, but so far nothing I have tried seems to work. I run

mvn clean install package

in my project root and I see the log message

[INFO] --- build-helper-maven-plugin:3.0.0:add-source (add-source) @ Person-ejb --- [INFO] Source directory: /media/psf/Home/Documents/workspace/optics/optics/Person/ejb/src added.

but when I look at the compiled jar it still containts the test directory and its contents. Any idea what I could be doing wrong?

My pom.xml: