You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 retails
【Schema】
# Table: customer
[
(c_custkey:INTEGER, Primary Key, Examples: [1, 2, 3]),
(c_mktsegment:TEXT, Examples: [BUILDING, MACHINERY, FURNITURE]),
(c_nationkey:INTEGER, Examples: [8, 16, 11]),
(c_name:TEXT, Examples: [Customer#000000001, Customer#000000002, Customer#000000003]),
(c_address:TEXT, Examples: [KwX3hMHjZ6, ioUn,eqTTXOdo, YddJqmIdouNT9Yj]),
(c_phone:TEXT, Examples: [937-241-3198, 906-965-7556, 328-750-7603]),
(c_acctbal:REAL, Examples: [3560.03, 7550.21, -926.96]),
(c_comment:TEXT)
]
# Table: supplier
[
(s_suppkey:INTEGER, Primary Key, Examples: [1, 2, 3]),
(s_nationkey:INTEGER, Examples: [13, 5, 22]),
(s_comment:TEXT),
(s_name:TEXT, Examples: [Supplier#000000001, Supplier#000000002, Supplier#000000003]),
(s_address:TEXT, Examples: [,wWs4pnykQOFl8mgVCU8EZMXqZs1w]),
(s_phone:TEXT, Examples: [800-807-9579, 348-617-6055, 471-986-9888]),
(s_acctbal:REAL, Examples: [3082.86, 3009.73, 9159.78])
]
# Table: region
[
(r_regionkey:INTEGER, Primary Key, Examples: [0, 1, 2]),
(r_name:TEXT, Examples: [AFRICA, AMERICA, ASIA]),
(r_comment:TEXT)
]
# Table: orders
[
(o_orderdate:DATE, Examples: [1995-04-19]),
(o_orderkey:INTEGER, Primary Key, Examples: [1, 2, 3]),
(o_custkey:INTEGER, Examples: [73100, 92861, 44875]),
(o_orderpriority:TEXT, Examples: [4-NOT SPECIFIED, 1-URGENT, 5-LOW]),
(o_shippriority:INTEGER, Examples: [0]),
(o_clerk:TEXT, Examples: [Clerk#000000916, Clerk#000000373, Clerk#000000485]),
(o_orderstatus:TEXT, Examples: [P, O, F]),
(o_totalprice:REAL, Examples: [203198.56, 317719.99, 146674.98]),
(o_comment:TEXT)
]
# Table: part
[
(p_partkey:INTEGER, Primary Key, Examples: [1, 2, 3]),
(p_type:TEXT, Examples: [LARGE PLATED TIN]),
(p_size:INTEGER, Examples: [31, 4, 30]),
(p_brand:TEXT, Examples: [Brand#43, Brand#55, Brand#53]),
(p_name:TEXT, Examples: [burlywood plum powder puff mint]),
(p_container:TEXT, Examples: [LG BAG, LG CASE, WRAP CASE]),
(p_mfgr:TEXT, Examples: [Manufacturer#4, Manufacturer#5, Manufacturer#1]),
(p_retailprice:REAL, Examples: [901.0, 902.0, 903.0]),
(p_comment:TEXT, Examples: [blithely busy reque])
]
# Table: lineitem
[
(l_shipdate:DATE, Examples: [1995-08-16]),
(l_orderkey:INTEGER, Primary Key, Examples: [1, 2, 4]),
(l_discount:REAL, Examples: [0.1, 0.09, 0.02]),
(l_extendedprice:REAL, Examples: [58303.08, 16947.7, 63642.9]),
(l_suppkey:INTEGER, Examples: [6296, 8776, 3859]),
(l_quantity:INTEGER, Examples: [33, 10, 34]),
(l_returnflag:TEXT, Examples: [N, A, R]),
(l_partkey:INTEGER, Examples: [98768, 23771, 113858]),
(l_linestatus:TEXT, Examples: [O, F]),
(l_tax:REAL, Examples: [0.06, 0.08, 0.07]),
(l_commitdate:DATE, Examples: [1995-07-12]),
(l_receiptdate:DATE, Examples: [1995-09-14]),
(l_shipmode:TEXT, Examples: [RAIL, TRUCK, SHIP]),
(l_linenumber:INTEGER, Primary Key, Examples: [1, 2, 3]),
(l_shipinstruct:TEXT, Examples: [NONE, TAKE BACK RETURN, COLLECT COD]),
(l_comment:TEXT, Examples: [carefully bo])
]
# Table: nation
[
(n_nationkey:INTEGER, Primary Key, Examples: [0, 1, 2]),
(n_name:TEXT, Examples: [ALGERIA, ARGENTINA, BRAZIL]),
(n_regionkey:INTEGER, Examples: [0, 1, 3]),
(n_comment:TEXT)
]
# Table: partsupp
[
(ps_partkey:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ps_suppkey:INTEGER, Primary Key, Examples: [2, 2502, 5002]),
(ps_supplycost:REAL, Examples: [400.75, 702.61, 383.95]),
(ps_availqty:INTEGER, Examples: [1111, 3999, 7411]),
(ps_comment:TEXT)
]
【Foreign keys】
customer.c_nationkey=nation.n_nationkey
supplier.s_nationkey=nation.n_nationkey
orders.o_custkey=customer.c_custkey
lineitem.l_orderkey=orders.o_orderkey
lineitem.l_partkey=partsupp.ps_partkey
lineitem.l_suppkey=partsupp.ps_suppkey
nation.n_regionkey=region.r_regionkey
partsupp.ps_partkey=part.p_partkey
partsupp.ps_suppkey=supplier.s_suppkey

    【Question】
    Identify the names of the top 3 customers with the highest number of orders of all time and calculate for the average total price per order of each customers. customers with the highest number of orders refer to c_name where MAX(COUNT(o_orderkey)); DIVIDE(SUM(o_totalprice), COUNT(o_orderkey));

    【Evidence】
    customers with the highest number of orders refer to c_name where MAX(COUNT(o_orderkey)); DIVIDE(SUM(o_totalprice), COUNT(o_orderkey));

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T.c_name, T.res FROM ( SELECT T2.c_name, SUM(T1.o_totalprice) / COUNT(T1.o_orderkey) AS res , COUNT(T1.o_orderkey) AS num FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey GROUP BY T1.o_custkey ) AS T ORDER BY T.num DESC LIMIT 3