pit | Distributed Recommender System

I have two scenarios:

• Scenario 1: L node having child node SL
• Scenario 2: L node with no child node SL

I need to form multiple L nodes if text "L1" () is found at other nodes like and . Id attribute of SL node(i.e ) is formed using "L1" in . Also ref attribute of pit node(i.e ) is formed using "L1" in , I need to check whether "L1" is present in either id attribute of SL or ref attribute of pit and form the desired output.

Input xml as below

I had an assignment to replicate mancala. The rules of the game are slightly different from original, and are the following:

The active player removes all stones from a pit on their side of the board and distributes them counter-clockwise around the board.

Distribution includes the player's goal, but not the opponent's goal.

If distribution ends in the player's goal, they take another turn.

If distribution ends on the player's side, in a previously empty pit, the last stone and any stones immediately across the board are moved to active player's goal (and their turn ends).

If a player's side of the board is empty (not including their goal), any remaining stones are collected by the opponent and the game is over.

I failed the assignment a while back and I'm still trying to figure out why I'm wrong. The program has correct output but my school requires us to use a programming tool called valgrind and that's where the issue comes from.

Why would valgrind give me this error

I scraped a table from pro-football-reference and created a Dataframe but seem to be running into an issue due to the need to convert the html to a string.

I built a web-crawler, here is an example of one of the pages that it crawls:

https://www.baseball-reference.com/register/player.fcgi?id=buckle002jos

I only want to get the rows that contain 'NCAA' or 'NAIA' or 'NWDS' in them. Currently the following code gets all of the rows on the page and my attempt at filtering it does not quite work.

Here is the code for the crawler:

I have referred to this post but cannot get it to run for my particular case. I have two dataframes:

I have code that scrapes a website but does so in a way that after so many scrapes from a run, I get a 403 forbidden error. I understand there is a package in R called polite that does the work of figuring out how to run the scrape to the hosts requirements so the 403 won't occur. I tried my best at adapting it to my code but I'm stuck. Would really appreciate some help. Here is some sample reproducible code with just a few links from many:

I have a dataframe with 4858 rows and 67 columns. This contains the stats from each game in the season for each MLB team. This means that for every game, there are two rows of data. One with the stats from one team and the other with the stats from the team they played. Here are the column names: ['AB', 'R', 'H', 'RBI', 'BB', 'SO', 'PA', 'BA', 'OBP', 'SLG', 'OPS', 'Pit', 'Str', 'RE24', 'WinOrLoss', 'Team', 'Opponent', 'HomeOrAway', 'url', 'Win_Percentage', 'R_Season_Long_Count', 'H_Season_Long_Count', 'BB_Season_Long_Count', 'SO_Season_Long_Count', 'PA_Season_Long_Count', 'R_Moving_Average_3', 'R_Moving_Average_10', 'R_Moving_Average_31', 'SLG_Moving_Average_3', 'SLG_Moving_Average_10', 'SLG_Moving_Average_31', 'BA_Moving_Average_3', 'BA_Moving_Average_10', 'BA_Moving_Average_31', 'OBP_Moving_Average_3', 'OBP_Moving_Average_10', 'OBP_Moving_Average_31', 'SO_Moving_Average_3', 'SO_Moving_Average_10', 'SO_Moving_Average_31', 'AB_Moving_Average_3', 'AB_Moving_Average_10', 'AB_Moving_Average_31', 'Pit_Moving_Average_3', 'Pit_Moving_Average_10', 'Pit_Moving_Average_31', 'H_Moving_Average_3', 'H_Moving_Average_10', 'H_Moving_Average_31', 'BB_Moving_Average_3', 'BB_Moving_Average_10', 'BB_Moving_Average_31', 'OPS_Moving_Average_3', 'OPS_Moving_Average_10', 'OPS_Moving_Average_31', 'RE24_Moving_Average_3', 'RE24_Moving_Average_10', 'RE24_Moving_Average_31', 'Win_Percentage_Moving_Average_3', 'Win_Percentage_Moving_Average_10', 'Win_Percentage_Moving_Average_31', 'BA_Season_Long_Average', 'SLG_Season_Long_Average', 'OPS_Season_Long_Average']

Then, here is a picture of the output from these columns. Sorry, it's only from a few columns but essentially all the stats will just be numbers like this.

The most important column for this question is the url column. This column identifies the game played as there is only one unique url for each game. However, there will be two rows within the dataframe that have this unique url as one will contain the stats from one team in that game and the other will contain the stats from the other team also in that game.

Now, what I am wanting to do is to combine these two rows that are identified by the common url by creating a ratio between them. So, I would like to divide the stats from the first team by the stats from the second team for that specific game with the unique url. I want to do this for each game/unique url. I am able to sum them by using the groupby.sum() function, but I am unsure how to find the ratio between the two rows with the same url. I would really appreciate any suggestions. Thanks so much!

I'm working on a queue management system app, when the person on the counter-press the call next button my program fetches the next person's details using their Id and save them to a JSON file which is then read by a page that displays their name,id, and picture. Now I am able to save a single data but when I save another value the JSON file says "only one top-level item is allowed"

For workitems i make /appbundles = "NamiliftActivity" and appbundles/:id/aliases "beta"

but while sending data on /workitems