asphalt | Asphalt application framework (core) | Reactive Programming library

I have a table that's stored in a single column of a data frame. I want to convert that single column into a data frame with the original column names.

I'm looking to cipher through a large output of text and insert css styling to the text. The columns remain the same each time, however the initial start of what I am trying to gather varies numbering from 1-50 sometimes it's 1-13 sometimes it's all 1-50.

I have tried the replace method for each number but I am not able to replace each variable to make it easily interpreted for integration.

The code I have is:

I'm trying to read in a large number of text files and clean up into a dataframe. The files do not include delimiters, have irregular widths due to the inclusion of some rows with data that corresponds to the subsequent set of rows.

Here are 2 samples:

Please Look at the following example: 1) The chairs are made of wood . 2) Paper is made from trees . 3) Biogas is produced by the fermentation of waste. 4) Asphalt is produced through the refining of petroleum. Should these be Composition or Dependency?

I have written a piece of code previously to change an object in another format. The object to change is given below:

I have an html file of a city' ways, from which I want to extract only those which are secondary, and its following lines (extract below):

The problem is:

There is a road consisting of N segments, numbered from 0 to N-1, represented by a string S.

Segment S[K] of the road may contain a pothole, denoted by a single uppercase "x" character, or may be a good segment without any potholes, denoted by a single dot,".".

For example, string".X. .X" means that there are two potholes in total in the road: one is located in segment S[1] and one in segment S[4].

All other segments are good. The road fixing machine can patch over three consecutive segments at once with asphalt and repair all the potholes located within each of these segments. Good or already repaired segments remain good after patching them. Your task is to compute the minimum number of patches required to repair all the potholes in the road.

Write a function: def solution(s) that, given a string S of length N, returns the minimum number of patches required to repair all the potholes.

Examples: 1. Given S=".X..x", your function should return 2. The road fixing machine could patch, for example, segments 0-2 and 2-4. 2.

Given S = "x.xxxxx.x", your function should return 3. The road fixing machine could patch, for example, segments 0-2, 3-5 and 6-8. 3.

Given S = "xx.xxx", your function should return 2. The road fixing machine could patch, for example, segments 0-2 and 3-5. 4. Given S = "xXxx", your function should return 2.

My issue is that I don't really know where to begin with this. I am genuinely stumped. Can someone help?

I have a 3 deep array. Currently, the code will isolate a record based on one field ($profcode) and show the heading. Eventually, I am going to build a table showing the information from all the other fields. The code so far is using in_array and a function that accepts $profcode. I am unsure if (and how) I need to use array_keys() to do the next part when I retrieve the "Skills" field. I tried:

I'm trying to test this search function to look for a specific entry on my server file on Postman, but the tests keep failing, even though I believe my code is returning the desired outcome.

It's expecting the results to be "pm.expect(jsonData.name).to.eql('Three Rivers Campground')", Isn't that what is happening below? The server is returning a JSON object where it's .name is equal to 'Three Rivers Campground'.

Postman Test Code: