The example of the two CSV files is attached below. One of the file is the crime database and the other one is the suspect database.SpecificationYour task is to write a python program that will take three CSV file names on the command line. The first CSV file contains STR counts for DNAs found in a list of crime scenes; the second CSV file contains a list of suspect's names and their DNA sequences; the third CSV file name is the output file where you write a CSV file that maps each suspect's name to the list of Crimes that have DNAs matching the suspect.Your program will take three file names on the command line:The first command line argument is a file name for a crime database file in csv file format. The header row would look like this:CrimeID,STR1,STR2,STR3,...Where each STRi is a short DNA sequence that is composed of DNA bases A/C/G/T. And each row will comprise of a CrimeID of the form CIDXXXXX, an integer count for each of the STRs.The second command line argument is a file name for a suspect DNA database file in csv file format. The header row would look like this:Suspect,SequenceAnd each row will have a Suspect name and the suspect's DNA sequenceThe third command line argument is a file name for the program to write the matching result to also in csv file format. The header row would look like this:Suspect,CrimesAnd each row will have a Suspect name and all the crime ids where suspect's DNA matches. The crimeids will be stored as a ',' separated string that will be treated as one csv file cell value (meaning it will be escaped with "" if there are more than one matching crimeid for a suspect. CrimeID, AGATC,TTTTTTCT,AATG, TCTAG,GATA, TATC, GAAA, TCTGCIDO0000,15,49,38,5,14,44,14,12CIDO0001,31,21,41,28,30,9,36,44CIDO0002,9,13,8,26,15,25,41,39CIDO0003,37,40,10,6,5,10, 28,8CIDO0004,37,47,10,23,5,48,28,23CIDO0005,25, 38,45,49,39,18,42,30CIDO0006,46, 49,48,29,15,5,28,40CIDO0007,43,31,18,25,26,47,31,36CIDO0008,46,41,38,29,15,5,48,22CIDO0009,7,11,18,33,39,31,23,14CIDO0010,22,33,43,12,26,18,47,41CIDO0011,42,47,48,18,35,46,48,50CIDO0012,9,13,33,26,45,11,36,39CIDO0013,18,23,35,13,11,19,14,24CIDO0014,17, 49,18,7,6,18,17,30CIDO0015,14,44,28,27,19,7,25,20CIDO0016,29, 29,40,31,45,20,40,35CIDO0017,6,18,5,42,39,28,44,22CIDO0018,37,47,13,25,17,6,13,35CIDO0019,29,27,32,41,6,27,8,34CIDO0020,31, 11,28,26,35,19,33,6CIDO0021,26,45,34,50,44,30,32,28CIDO0022,29,50,18,23,38,24,22,9CIDO0023,21,38,33,24,16,11,6,18CIDO0024,13,7,13,37,8,8,20,40CIDO0025,19,14,38,33,39,32,37,20CIDO0026,9,32,35,25,27,29,20,37CIDO0027,12,6,25,10,38,12,35,18CIDO0028,40,21,8,32,35,35,13,38 Suspect, SequenceЕ,GCTAAATTTGTTCAGCCAGATGTAGGCTTACAAATCAAGCTGTCCGCTCGGCACGGCСТАСАСАСGTCGTGTAACTACAAСAGCTAGTTAAТСTGGATATCACСATGACCGAATCATAGATTTCGCCTTAAGGAGCTTTACCATGGCTTGGGATCCAATACTAAGGGCTCGACCTAGGCGAATGAGTTTCAGGTTGGCAATCAGCAACGCTCGCCATCCGGACGACGGCTTACAGTTAGTAGCATAGTACGCGATTTTCGGGAAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGААTGAATGAATGAATGAATGAATGAATGAATGAATтGTATCTАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСССGТCААСТСАТТСАСАСCGCATCCTTTССTGCCACTGTAАСТAGTCGACTGGGGAACCTCATСАТССАТАСТСТСССАСАТТАТGCCTCCCAАССТGTTAAGCGTGGCATGCTTGGGATTGCATTGATGCTTCTTGGAGAGGACGCTTTCGTTTTGGAGATTACAGGGATCCAATTTTATCATCGGTTCGACTCCCGTAACGACTTAGCAGTAAGGGTGCTAGTTCCTGGTTAGAATCTTAATAAATCACGTCGCTTGGAGCAAGACAAAGATCGTCGTAATGCCAAGTGCACGACCACCTTCAGACTTGCAGGACCCGTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTITTTTTTTTTCTTTTTTTTTTTTTTTTTCTTTTTTTCTTTTTTTCTTTTIITTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTCGATAGCTATGCGGTTCAATACAATCTTAACGCAATGCAGCGATGTGGTTTCGTACACTTAGCATAAAACСССССАСАТТАААTCGATGTACCCGCCCTCTTAGACGCCAATTTCAATGCCGAACCTCCGGCGGGTATCTCTGCACTAGGAGAAGTAGCACGTCGCTGTAGCGAACTCCTAТCGTGAGATAATTTGTAGAGCTGCTCTТАТAАТАСААТAGCTCAGATGGATTATTCCATGGACATCCCCGTGCGTTGTTTCGAGGATGGTAGGTGGAAATTTTGCCAGACCTCTAGTCTTAAACATGGTTGACGTTATAGGCGCTATCTCTTGCGTCTGGAAGTGTTAATCCGTGAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAA

Question

The example of the two CSV files is attached below. One of the file is the crime database and the other one is the suspect database.SpecificationYour task is to write a python program that will take three CSV file names on the command line. The first CSV file contains STR counts for DNAs found in a list of crime scenes; the second CSV file contains a list of suspect's names and their DNA sequences; the third CSV file name is the output file where you write a CSV file that maps each suspect's name to the list of Crimes that have DNAs matching the suspect.Your program will take three file names on the command line:The first command line argument is a file name for a crime database file in csv file format. The header row would look like this:CrimeID,STR1,STR2,STR3,...Where each STRi is a short DNA sequence that is composed of DNA bases A/C/G/T. And each row will comprise of a CrimeID of the form CIDXXXXX, an integer count for each of the STRs.The second command line argument is a file name for a suspect DNA database file in csv file format. The header row would look like this:Suspect,SequenceAnd each row will have a Suspect name and the suspect's DNA sequenceThe third command line argument is a file name for the program to write the matching result to also in csv file format. The header row would look like this:Suspect,CrimesAnd each row will have a Suspect name and all the crime ids where suspect's DNA matches. The crimeids will be stored as a ',' separated string that will be treated as one csv file cell value (meaning it will be escaped with &#34;&#34; if there are more than one matching crimeid for a suspect. CrimeID, AGATC,TTTTTTCT,AATG, TCTAG,GATA, TATC, GAAA, TCTGCIDO0000,15,49,38,5,14,44,14,12CIDO0001,31,21,41,28,30,9,36,44CIDO0002,9,13,8,26,15,25,41,39CIDO0003,37,40,10,6,5,10, 28,8CIDO0004,37,47,10,23,5,48,28,23CIDO0005,25, 38,45,49,39,18,42,30CIDO0006,46, 49,48,29,15,5,28,40CIDO0007,43,31,18,25,26,47,31,36CIDO0008,46,41,38,29,15,5,48,22CIDO0009,7,11,18,33,39,31,23,14CIDO0010,22,33,43,12,26,18,47,41CIDO0011,42,47,48,18,35,46,48,50CIDO0012,9,13,33,26,45,11,36,39CIDO0013,18,23,35,13,11,19,14,24CIDO0014,17, 49,18,7,6,18,17,30CIDO0015,14,44,28,27,19,7,25,20CIDO0016,29, 29,40,31,45,20,40,35CIDO0017,6,18,5,42,39,28,44,22CIDO0018,37,47,13,25,17,6,13,35CIDO0019,29,27,32,41,6,27,8,34CIDO0020,31, 11,28,26,35,19,33,6CIDO0021,26,45,34,50,44,30,32,28CIDO0022,29,50,18,23,38,24,22,9CIDO0023,21,38,33,24,16,11,6,18CIDO0024,13,7,13,37,8,8,20,40CIDO0025,19,14,38,33,39,32,37,20CIDO0026,9,32,35,25,27,29,20,37CIDO0027,12,6,25,10,38,12,35,18CIDO0028,40,21,8,32,35,35,13,38 Suspect, SequenceЕ,GCTAAATTTGTTCAGCCAGATGTAGGCTTACAAATCAAGCTGTCCGCTCGGCACGGCСТАСАСАСGTCGTGTAACTACAAСAGCTAGTTAAТСTGGATATCACСATGACCGAATCATAGATTTCGCCTTAAGGAGCTTTACCATGGCTTGGGATCCAATACTAAGGGCTCGACCTAGGCGAATGAGTTTCAGGTTGGCAATCAGCAACGCTCGCCATCCGGACGACGGCTTACAGTTAGTAGCATAGTACGCGATTTTCGGGAAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGAATGААTGAATGAATGAATGAATGAATGAATGAATGAATтGTATCTАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСТАТСССGТCААСТСАТТСАСАСCGCATCCTTTССTGCCACTGTAАСТAGTCGACTGGGGAACCTCATСАТССАТАСТСТСССАСАТТАТGCCTCCCAАССТGTTAAGCGTGGCATGCTTGGGATTGCATTGATGCTTCTTGGAGAGGACGCTTTCGTTTTGGAGATTACAGGGATCCAATTTTATCATCGGTTCGACTCCCGTAACGACTTAGCAGTAAGGGTGCTAGTTCCTGGTTAGAATCTTAATAAATCACGTCGCTTGGAGCAAGACAAAGATCGTCGTAATGCCAAGTGCACGACCACCTTCAGACTTGCAGGACCCGTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTITTTTTTTTTCTTTTTTTTTTTTTTTTTCTTTTTTTCTTTTTTTCTTTTIITTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTTTTTTTCTCGATAGCTATGCGGTTCAATACAATCTTAACGCAATGCAGCGATGTGGTTTCGTACACTTAGCATAAAACСССССАСАТТАААTCGATGTACCCGCCCTCTTAGACGCCAATTTCAATGCCGAACCTCCGGCGGGTATCTCTGCACTAGGAGAAGTAGCACGTCGCTGTAGCGAACTCCTAТCGTGAGATAATTTGTAGAGCTGCTCTТАТAАТАСААТAGCTCAGATGGATTATTCCATGGACATCCCCGTGCGTTGTTTCGAGGATGGTAGGTGGAAATTTTGCCAGACCTCTAGTCTTAAACATGGTTGACGTTATAGGCGCTATCTCTTGCGTCTGGAAGTGTTAATCCGTGAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAAAGAA

Accepted Answer

The program is written in python
 
The sample files created are: