In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command. 
 Here are the definitions of logical operators: 
 1. count: returns the number of rows in the view 
 2. only: returns whether there is exactly one row in the view 
 3. hop: returns the value under the header column of the row 
 4. and: returns the boolean operation result of two arguments 
 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column 
 6. nth max/nth min: returns the n-th max/n-th min of the values under the header column 
 7. argmax/argmin: returns the row with the max/min value in header column 
 8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column 
 9. eq/not eq: returns if the two arguments are equal 
 10. round eq: returns if the two arguments are roughly equal under certain tolerance 
 11. greater/less: returns if argument 1 is greater/less than argument 2 
 12. diff: returns the difference between two arguments 
 13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3 
 14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3 
 15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3 
 16. filter all: returns the view itself for the case of describing the whole table 
 17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3 
 18. all greater/less: returns whether all the values under the header column are greater/less than argument 3 
 19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3 
 20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3 
 21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3 
 22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3

[EX Q]: and { greater { hop { filter_eq { all_rows ; date ; january 22 } ; attendance } ; hop { filter_eq { all_rows ; date ; january 23 } ; attendance } } ; and { eq { hop { filter_eq { all_rows ; date ; january 22 } ; attendance } ; 17061 } ; eq { hop { filter_eq { all_rows ; date ; january 23 } ; attendance } ; 13916 } } } = true
[EX A]: select the rows whose date record fuzzily matches to january 22 . take the attendance record of this row . select the rows whose date record fuzzily matches to january 23 . take the attendance record of this row . the first record is greater than the second record . the attendance record of the first row is 17061 . the attendance record of the second row is 13916 .

[EX Q]: eq { hop { nth_argmax { all_rows ; tonnes ; 2 } ; location } ; anchorage , alaska } = true
[EX A]: select the row whose tonnes record of all rows is 2nd maximum . the location record of this row is anchorage , alaska .

[EX Q]: and { greater { hop { filter_eq { all_rows ; incumbent ; john kline } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; jim ramstad } ; first elected } } ; and { eq { hop { filter_eq { all_rows ; incumbent ; john kline } ; first elected } ; 2002 } ; eq { hop { filter_eq { all_rows ; incumbent ; jim ramstad } ; first elected } ; 1990 } } } = true
[EX A]:
select the rows whose incumbent record fuzzily matches to john kline . take the first elected record of this row . select the rows whose incumbent record fuzzily matches to jim ramstad . take the first elected record of this row . the first record is greater than the second record . the first elected record of the first row is 2002 . the first elected record of the second row is 1990 .