Validate CSV rows under multiple verification rules

You are given a multi-line string representing a CSV dataset.

• The first line is a header.
• Each subsequent line contains exactly 6 columns : col1,col2,col3,col4,col5,col6 .

For each data row (excluding the header), output one line in the same order:

• VERIFIED: <col2_value> or
• NOT VERIFIED: <col2_value>

A row is VERIFIED only if it satisfies all rules below.

Rules

1. No empty fields : all 6 columns must be present and non-empty . A value that is only whitespace counts as empty.
2. Column 5 length constraint : len(trim(col5)) must be between 5 and 31 inclusive .
3. Forbidden words in col2 : col2 must not contain any of these substrings (case-insensitive):
   • company , firm , co. , corporation , group
4. Word overlap requirement :
   • Split col2 , col4 , and col5 into lowercase words by whitespace.
   • Remove the words LLC and Inc (case-insensitive) from the comparison sets.
   • col2 must share at least 50% of its (remaining) words with either col4 or col5 .

Input

A single string data containing the CSV content.

Output

Print one line per data row: VERIFIED: ... or NOT VERIFIED: ....

Example

Input:

col1,col2,col3,col4,col5,col6
a,land water,c,d,land water LLC,f
a,Good Company,c,d,land water,f
a,b,c,d,e,f
1,2,3,,5,6

Output:

VERIFIED: land water
NOT VERIFIED: Good Company
NOT VERIFIED: b
NOT VERIFIED: 2

Notes

• Maintain row order in output.
• Assume the CSV does not contain escaped commas inside fields (simple split by commas is acceptable unless you choose to implement full CSV parsing).