diff --git a/.gitignore b/.gitignore
index fc54ea7..7ca5cbe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,4 +3,4 @@
 .pyc
 *.*~
 _*_.*
-
+.ipynb
diff --git a/3sum_closest.py b/3sum_closest.py
index 777f7ac..301a5df 100644
--- a/3sum_closest.py
+++ b/3sum_closest.py
@@ -10,18 +10,18 @@
 '''
 from __future__ import division
 import random
+import math
 
 ### DP? Given a list L
 # S(i, k, target) = True if we can find k elements among L[:i] to sum up to target
 # S(i, k, target) = S(i-1, k-1, target-L[i-1]) or S(i-1, k, target)
 def sum_closest(L, num_k, target):
-    import math
     n = len(L)
     S = {}
     prev = {}
     max_t = sum([x for x in L if x > 0])
     min_t = sum([x for x in L if x <= 0])
-    print 'target range: [%d, %d]' %(min_t, max_t)
+    print('target range: [%d, %d]' %(min_t, max_t))
     
     # Initialization:
     # S(0,any,any) = False
@@ -57,11 +57,22 @@ def sum_closest(L, num_k, target):
         next_i,next_k,next_t = prev[(i,k,t)]
         if next_k == k-1: output.append(L[next_i])
         i,k,t = next_i,next_k,next_t
-    print 'output:', output, 'sum(output):', sum(output)
+    print('output:', output, 'sum(output):', sum(output))
     return output
 
 
 if __name__ == '__main__':
-    sum_closest([-1, 2, 1, -3, 6], 2, 2)
-
+    sum_closest([-1, 2, 1, -3, 6], 3, 2)
 
+####---------- my test codes ------------####
+# this is for 3 number in order! 
+def my_sum(L,num_k,target):
+    for i in range(len(L)):
+        sum_L = 0
+        output = []
+        for j in range(num_k):
+            sum_L += L[i+j]
+            output.append(L[i+j])
+        if sum_L == target:
+            break
+    return output
\ No newline at end of file
diff --git a/MyNoteBook.ipynb b/MyNoteBook.ipynb
new file mode 100644
index 0000000..d20924e
--- /dev/null
+++ b/MyNoteBook.ipynb
@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# test codes\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('pytorch_m1')",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.8.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "7847b48317249e3ca26d69faac65a9677ad7ca85de2bc94a91f5d8868713ce5f"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}