sumy | Module for automatic summarization of text documents and HTML pages | Natural Language Processing library

I'm curious where you go with this.

I made up some similar appearing data and built a matrix on a separate worksheet. Maybe this gives you an idea where to go next, as I am not sure.

You need to distinguish if you have variable name as symbol (not sure if this is good term) or as string. NSE refers to symbols, i.e. you do not write quotes. In your first example you use symbols, in second - strings. And for string another syntax is necessary. Instead of {{variable}} you need to use .data[[variable]]:

hma is a built-in function. Just remove line 69 from your original code and try to convert again.

Line 69:

• conda only keeps track of the packages it installed
• pip freeze will give you the packages that were either installed using pip package manager or they used setuptools in their setup.py so conda build generated the egg information.

conda vs pip

Downgrading the pip may fix this issue, you can check this out: conda issues

Since, you have not given the implementation of the calcMean(arr, s) function, I am assuming that you are able to implement it without any logical errors.

The problem I sense here is that the summation in the least squares formula is from i = 1 till i = n. But you have looped from i = 0 till i=n-1.

Here you just need to run the loop from i = 1 till i = s and access arr elements through as arr[i-1].

Try this code with the change implemented and let me know if the error still persists.

I test in my side with same modules as yours in my requirements.txt and run the function with Ctrl + F5. It shows same error message as you mentioned.

It seems there are some conflicts of the two modules(in the versions which you specified in your requirements.txt). To solve this problem, just remove the version of the two modules in requirements.txt. Below is my requirements.txt:

If we do not specify the version, it will install the latest version automatically. In my function app, it intalls numpy 1.20.0 and PyWavelets 1.1.1, and the function runs success when I use Ctrl + F5.

Decimal is the python way of representing fixed decimal values. The SQL is returning a decimal probably because the sumy is decimal. Its likely all implementation will handle this the same way.

Leaving the python application to handle it as a Decimal is probably the best way to maintain the database being responsible for retrieval and the application for presentation.

There are two errors in your code:

The knot vector for uniform closed B-Splines is supposed to count up to the number of segments, not the number of control points. The number of segments is the number of control points minus the degree. I.e., if you have three points for a degree-2 spline (i.e., a simple Bezier curve), you get a single segment. For each additional point, you get one more segment. Hence, the knot vector has to be:

You have an integer overflow issue in the code: 60'300 * 60'300 = 3'636'090'000 while usually an int are 4-bytes long and can hold only values in range [-2^31, 2^31-1] = [-2'147'483'648, 2'147'483'647].

Python's integer does not overflow.