porosity | Security Analysis tool for Blockchain-based Ethereum Smart | Blockchain library

I need some help for feature extraction in time series, maybe using the TSFRESH package.

I have circa 5000 CSV files, and each one of them is a single time series (they may differ in length). The CSV-time-series is pretty straight forward:

Example of a CSV-Time-Series file: | Date | Value | | ------ | ----- | | 1/1/1904 01:00:00,000000 | 1,464844E-3 | | 1/1/1904 01:00:01,000000 | 1,953125E-3 | | 1/1/1904 01:00:02,000000 | 4,882813E-4 | | 1/1/1904 01:00:03,000000 | -2,441406E-3 | | 1/1/1904 01:00:04,000000 | -9,765625E-4 | | ... | ... |

Along with these CSV files, I also have a metadata file (in a CSV format), where each row refers to one of those 5000 CSV-time-series, and reports more general information about that time series such as the energy, etc.

Example of the metadata-CSV file: | Path of the CSV-timeseries | Label | Energy | Penetration | Porosity | | ------ | ----- | ------ | ----- | ----- | ----------- | | ... | ... | ... | ... | ... | ... | | ... | ... | ... | ... | ... | ... | | ... | ... | ... | ... | ... | ... |

The most important column is the "Label" one since it reports if a CSV-time-series was labeled as:

1. Good
2. Bad

I should also consider the energy, penetration, and porosity columns since those values have a big role in the labeling of the time series. (I already tried a decision tree by looking at only the features, now I would like to analyze the time series to extract knowledge)

I intend to extract features from the time series such that I can understand what are the features that make one time series be labeled as "Good" or "Bad".

How can I do this with TSFRESH? There are other ways to do this?

Could you show me how to do it? Thank you :)

I had a look around but couldn't find any answers. I have a slight issue - I have an abstract base class with a few abstract methods but also with several methods that are generic to all subclasses. Yet, in order to use these methods, I need to pass an subclass-specific attribute. This works fine, but I, of course, get warnings that the base class doesn't have the specific attribute:

I have little experience in developing UI in Python and right now working with tkinter I ran into an issue where I have a number of checkboxes, which are all assigned to different variables, yet for some reason clicking on one of the checkboxes activates all of them.

So in the __init__ I declare variables that should respond to clicking on checkbox:

I am looking to change the colour of the inner box plot generated by sns.violinplot() to black, see picture below. I've tried using patch but can only find how to do the outer edge of the violin plot and not the inner box.

Relevant code:

I'm trying to build a LINQ expression for fetching data from my cosmosdb container using the CosmosClient SDK. It looks something like this:

I have created the following custom query to sort documents in the 'posts' collection by the order of 'Priority' that I have defined in the kinda temp table thing that I have created inside the join clause. Now, the query itself works fine, but as soon as I order by Priority, it throws an error. So basically, order by using a variable that doesn't belong to the document doesn't work. Is there a work around for this? The reason I want to order by priority is so that I can get the documents in order and can use the continuation token to fetch paginated data from cosmos.

Do note that the inner query is dynamically generated by me in my web app code so I cannot pre-assign the priority in documents in the 'posts' container.

I have a binary image with black particles and white pore space. I am trying to observe the porosity variation across the image. To do this I have originally been using a square grid and measuring the porosity (ratio of black to white pixels) in each grid. I have then been uploading these values to matlab as XYZ coordinates, with X and Y being the centres of each grid and Z being the porosity value. I have then interpolated between these values to produce a porosity map.

However, when using a single square grid, the porosity map is not very representative of the binary image because the grids are coarse. However, I cannot reduce the grid size due to theoretical reasons in what I am trying to do.

However, I have found that if I overlay multiple grids, but which are shifted to the right or downwards incrementally, then I can upload these new XYZ values to matlab and interpolate between them which produces a much better porosity map.

The issue is that I can't find any reference to this method anywhere and so does anyone know if this technique is used at all or in any literature?. Also would interpolating between overlapping squares cause any issues because the porosity map produced using the overlapping squares looks good?

I have been searching the literature for what feels like an age looking for the answer to this question so I'd really appreciate any help.

I am trying to merge sort a on a key of a fairly large doubly-linked list in C, which has about 100,000 elements. Here is the structure for the DLL elements:

I'm having difficulty to set X axis specific limits when I plot two curves on the same graph.

My data has two curves (PERMEABILITY and POROSITY) and DEPTH will work like an index. So I managed to plot them on the same graph and to fill the areas between them with some help. Here is my code: