From 5c7d84e8f9cea68f4261404e51e30198460272bf Mon Sep 17 00:00:00 2001
From: FLotfiGit <flotfi@uccs.edu>
Date: Fri, 1 Mar 2024 14:56:29 -0500
Subject: [PATCH 1/5] update

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index fc54ea7..7ca5cbe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,4 +3,4 @@
 .pyc
 *.*~
 _*_.*
-
+.ipynb

From 9c7d6d24eb9b8c175fea5ff3268d8af1d529f08a Mon Sep 17 00:00:00 2001
From: FLotfiGit <flotfi@uccs.edu>
Date: Fri, 1 Mar 2024 14:57:41 -0500
Subject: [PATCH 2/5] update

---
 MyNoteBook.ipynb | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)
 create mode 100644 MyNoteBook.ipynb

diff --git a/MyNoteBook.ipynb b/MyNoteBook.ipynb
new file mode 100644
index 0000000..0abbfad
--- /dev/null
+++ b/MyNoteBook.ipynb
@@ -0,0 +1,21 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# test codes\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From ee78e9edd769081ea54fc60660f51f77ef5d2ad5 Mon Sep 17 00:00:00 2001
From: FLotfiGit <flotfi@uccs.edu>
Date: Sat, 2 Mar 2024 10:42:58 -0500
Subject: [PATCH 3/5] update

---
 3sum_closest.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/3sum_closest.py b/3sum_closest.py
index 777f7ac..210c9c1 100644
--- a/3sum_closest.py
+++ b/3sum_closest.py
@@ -21,7 +21,7 @@ def sum_closest(L, num_k, target):
     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
@@ -57,7 +57,7 @@ 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
 
 

From 5cc48cb8763871d3f329c6bd557a823f3e4fc7ea Mon Sep 17 00:00:00 2001
From: FLotfiGit <flotfi@uccs.edu>
Date: Sat, 2 Mar 2024 10:57:24 -0500
Subject: [PATCH 4/5] my_update

---
 3sum_closest.py | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/3sum_closest.py b/3sum_closest.py
index 210c9c1..301a5df 100644
--- a/3sum_closest.py
+++ b/3sum_closest.py
@@ -10,12 +10,12 @@
 '''
 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 = {}
@@ -62,6 +62,17 @@ def sum_closest(L, num_k, target):
 
 
 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

From bc617d6c18686a3ff34adcd5cf745cfa3f8b10ee Mon Sep 17 00:00:00 2001
From: FLotfiGit <flotfi@uccs.edu>
Date: Sun, 3 Mar 2024 19:55:53 -0500
Subject: [PATCH 5/5] update

---
 MyNoteBook.ipynb | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/MyNoteBook.ipynb b/MyNoteBook.ipynb
index 0abbfad..d20924e 100644
--- a/MyNoteBook.ipynb
+++ b/MyNoteBook.ipynb
@@ -11,10 +11,21 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('pytorch_m1')",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "name": "python",
+   "version": "3.8.13"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "7847b48317249e3ca26d69faac65a9677ad7ca85de2bc94a91f5d8868713ce5f"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2