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426
,["t--ddbPTeIsNI","iGTzEhwhMx4U","r-iGTzEhwhMx4U",[["debug",null,null,null,null,[null,null,null,null,0]
]
,["ui_mode",1234125123l,[null,null,"inline"]
]
,["num_cols",14351435,[null,null,null,2.0]
]
,["max_timing",235123512,[null,null,null,2500.0]
]
,["check_parent_card",143512122,[null,null,null,null,1]
]
,["counterfactual_logging",213513212412,[null,null,null,null,0]
]
]
]

<PLANT>
 <COMMON>Bloodroot</COMMON>
 <BOTANICAL>Sanguinaria canadensis</BOTANICAL>
 <ZONE>4</ZONE>
 <LIGHT>Mostly Shady</LIGHT>
 <PRICE>$2.44</PRICE>
 <AVAILABILITY>031599</AVAILABILITY>
 </PLANT>


A couple of questions:
  • In what way do these totally different types/forms of data relate to each other?
  • Are they from different files?
    • Is the first file some sort of definition file and the second the actual data?
    • Is the first part embedded in a CDATA tag like this: "<![CDATA[ your non-xml-formed data like in the first quote goes here ]]>" ?
  • Please provide the exact filenames.

427
Now we are getting somewhere, sort of.

You only didn't tell what other parts of the data you need extracted from each record, besides the ui_mode field, and what the identifying field is that should go in the first column of the csv output you suggested earlier.


Is your second line a question?
Yes, 2 actually.

428
Now we are getting somewhere, sort of.

You only didn't tell what other parts of the data you need extracted from each record, besides the ui_mode field, and what the identifying field is that should go in the first column of the csv output you suggested earlier.

429
This example is totally useless. >:(

Please extract 2 or 3 of those (complete) product records from your actual data file. Optionally replace confidential stuff (data, prices)with aaaaa, bbbbb, 1.23, etc., but leave the structure exactly as it is!
Then post that here.

430
If you are searching for a regex within a regex, 'You Are Doing It Wrong' (T).

You initial requirement was to find and extract content using a regex, but now you need parts of that regex to be split out? That can be done using a single regex, grouping the stuff you need to split out.
And for this whole exersize to make any sense, where is the variable part of the data to find? When searching for explicit text(s), a count would suffice...
Please provide a complete example, with actual data (not an entire file!), clearly marking the stuff you need to extract, of what you want to achieve, not how you think it could/should be solved.

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