SCONE | Open Source Software for Predictive Simulation

The floating of .talent is most likely the culprit. When floating elements the parent looses track of their height, so if you check the dev tools you will most likely find out the divs with the class yui-gf are actually ending there.

Remove the floating and width of the .talent and try using grid on the parent to align its childs in columns.

So first of all you get the income for each product and category and then based on that you find total income for that category and you do this with the help of subquery, then you join this resultant table with the category table and with the help of group by you find the product count and total income for each category, below is the sql query for more indepth understanding

Your text with tags h1 and p must be wrapped in a container div (

For the flex rule, I created a selector:

the problem is that you are trying to iterate through an object instead of an Array initialData[0]

if you do this

Use the useState hook, for example

the problem is that your file retrieves the image based on where the html file is somewhere and it does not check the entire computer hard drive.

So if you want the problem fixed you can start from the html files location basically. So if your html file is in the src folder your img tag shall be

You have a few issues with your code:

1. The pattern you're using matches Final score : when the label in the sample you provided is Final Score: (capital S, no whitespace before the colon (:)). Instead, match the label Final Score:

2. Array-like structures are zero-indexed in Python. Index 0 will correspond to the first match, index 1 the second, and so on and so forth. You're attempting to access m.group(1), which in your example will not yield anything (there are no capture groups defined, so everything will be in m.group(0)).

3. You haven't "isolated" your numerical figure in a capture group. Enclose the part of the pattern used to match your number figure in parenthesis (()) to denotate the capture group.

Your code should look something more like this:

Use the following code to read the data

First off, PowerShell has the built in ability to parse and manipulate CSV documents, so that would be a better option. But I will stick with batch processing.

Regular expressions are no good to a pure native batch solution for two reasons:

• It is impossible to alter FOR /F behavior to parse tokens by regular expressions - it is what it is - very limited.
• To parse your file with FOR /F you would need to manipulate each line prior to parsing. Batch does not have any regex utility that can alter content. It only has FINDSTR which can do very crude regex searches, but it always returns the original matching line. On top of that, the FINDSTR regex is so crippled, I'm not sure you could properly parse a CSV anyway.

You could use custom JScript or VBScript via CSCRIPT to preprocess the file with a regular expression search and replace in such a way that FOR /F could then parse the file. I have already written a hybrid JScript/batch regular expression processing utility called JREPL.BAT that works well for this.

A quoted CSV field can contain quote literals, in which case the quote liberals are doubled. The following regex would match any CSV token (not including the comma delimiter) ("(?:""|[^"])*"|[^,"]*). It looks for a quote followed by any number of non-quote characters and/or doubled quotes, followed by a closing quote or any number of characters not including quote or comma. But your CSV does not contain any doubled quote literals, so the regex can be simplified to ("[^"]*"|[^,"]*).

CSCRIPT has no mechanism to pass quote literals within arguments, so JREPL has an /XSEQ option to enable extended escape sequence support, including \q to represent ". The other option is to use the standard \x22 sequence. JREPL "(\q[^\q]*\q|[^,\q]*)," "$1;" /XSEQ /F "test.csv" will match any token (possibly empty) followed by a comma delimiter, and preserve the token and replace the comma with a semicolon.

But that still leaves empty tokens, and FOR /F does not properly parse empty tokens. So I can throw a bit of JSCRIPT into the replacement term to remove any existing quotes, and then surround each token with quotes (except for the last one, where it isn't needed)
JREPL "(\q[^\q]*\q|[^,\q]*)," "$txt='\q'+$1.replace(/'\q'/,'')+'\q;'" /JQ /XSEQ /F "test.csv"

Here is a demonstration showing how it could be used to parse your CSV: