generate a c# program using codex davinci using natural language to get patterns from a transaction table with structure (id, transactiondate, amount, response, customer name) in csharp

main.cs
// Import necessary .NET libraries
using System;
using System.Collections.Generic;
using System.Linq;

// Define a Transaction class to represent a row in the table
class Transaction
{
  public int ID { get; set; }
  public DateTime TransactionDate { get; set; }
  public decimal Amount { get; set; }
  public string Response { get; set; }
  public string CustomerName { get; set; }
}

class Program
{
  static void Main(string[] args)
  {
    // Define a list of Transactions to represent the table
    List<Transaction> transactions = new List<Transaction>()
    {
        new Transaction() { ID = 1, TransactionDate = new DateTime(2021, 1, 1), Amount = 50.00m, Response = "Approved", CustomerName = "John Doe" },
        new Transaction() { ID = 2, TransactionDate = new DateTime(2021, 1, 2), Amount = 100.00m, Response = "Declined", CustomerName = "Jane Smith" },
        new Transaction() { ID = 3, TransactionDate = new DateTime(2021, 1, 2), Amount = 25.00m, Response = "Approved", CustomerName = "John Doe" },
        new Transaction() { ID = 4, TransactionDate = new DateTime(2021, 1, 3), Amount = 500.00m, Response = "Approved", CustomerName = "Bob Johnson" },
        new Transaction() { ID = 5, TransactionDate = new DateTime(2021, 1, 3), Amount = 75.00m, Response = "Declined", CustomerName = "Jane Smith" },
    };

    // Use LINQ to group the transactions by customer name
    var groups = transactions.GroupBy(t => t.CustomerName);

    // Print out the transaction patterns for each customer
    foreach (var group in groups)
    {
        Console.WriteLine($"Patterns for customer: {group.Key}");
        // Use LINQ to group each customer's transactions by transaction date
        var dateGroups = group.GroupBy(t => t.TransactionDate);
        foreach (var dateGroup in dateGroups)
        {
            Console.WriteLine($"Transactions on {dateGroup.Key}: {dateGroup.Count()}");
            // Use LINQ to group each date group by response (Approved or Declined)
            var responseGroups = dateGroup.GroupBy(t => t.Response);
            foreach (var responseGroup in responseGroups)
            {
                Console.WriteLine($"\t{responseGroup.Key}: {responseGroup.Count()} ({responseGroup.FirstOrDefault()?.Amount:c})");
            }
        }
        Console.WriteLine();
    }
  }
}
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