This merge will introduce the forth container interface extension to the code.
The Tutorial (Jupyter notebooks) where modified to accommodate for that.
The exercises where also slightly modified.
I have also added the final presentation of the project.
Beside that several small fixes and improvements were done, see the commit log for more details.
This is probably the last commit for a long time.

The best way to start from here is to read the manual and the Jupyter tutorials and solving the final test.
If you speak German, there is also an “Übergabe-Protokoll”, it contains some highlights and gives further hints where to start digging.

Sincerely, Philip Müller

I primarly added some paths to some important stuff, that may be not very obvious where to look for.

The restrict and expand function hadf no overload for the Sample collection container.
This is an error in the interface that was made when I have copy-pasted the function.

The manual is now the only place where the ointerface is documented.

It is now possible to sonstruct the sample array from all thre containers.

Instead the std::vector is used.

I have added the part that allows to access a single dimension as a NumPy vector, reading and writing.
Now only the rehaul of the persentation and the conditions are left.

Now they also contain the new material about the functions for manipulating components.
Still missing are the new NumPy functions, the conditions and the rehaul of the presentation demo.

Improved the languages a bit.
Also made some things clearer.

I have forgotten to add the reading fucntion.

It now supports a fucntion to apply the conditions to sampels and containers.
This means that the condition can set the value that are restricted.
It is equivalent in first restrict the samples and then expand them.
But no temporary needs to be created.

It is now also possible to optain an array that contains the value of the conditions not only the dimensions.

Updated PyYggdrasil to also support the fourth extension of the container interface for the SampleCollection.

Due to the simnplicity of some functions I have Implememented more fucntions directly in the header.

This function allows to set all elements of the array to a single value.

I have added the new function to the SampleList, such that the interaction is with NumPy is better.
This onbly requiered my to add one new fucntion.
i have allso updated the description.
I have also added the full fourth extension of the container interface for the SampleList to pyYggdrasil.
I have also fixed some typos in the description for the SampleArray.