update R6 and rebuild at 9.28

.gitignore

@@ -2,4 +2,6 @@
 .vscode
 
 node_modules/
-.npm
+.npm
+
+__pycache__

reviews/R6.md

@@ -2,4 +2,119 @@
 
 * Hajin Ju, 2024062806
 
-## Problem 1
+## Problem 1
+
+Illustrate the operation of `PARTITION` on the array $A = \set{2, 8, 7, 1, 3, 5, 6, 4}$
+
+### Solution 1
+
+```python {cmd output=html hide}
+from __pyfunc__.r6 import *
+from bs4 import BeautifulSoup
+
+data = [2, 8, 7, 1, 3, 5, 6, 4]
+hl = [0, 0, 0, 0, 0, 0, 1, 0]
+
+print(
+    create_array_table(data, 
+    [0, 0, 0, 0, 0, 0, 1, 0]
+    , 0, 0),
+)
+
+print(
+    create_array_table(data, 
+    [1, 0, 0, 0, 0, 0, 1, 0],
+    1, 0)
+)
+
+print(
+    create_array_table(
+    [2, 8, 7, 1, 3, 5, 6, 4], 
+    [1, 1, 0, 0, 0, 0, 1, 0],
+    1, 1)
+)
+
+print(create_array_table(
+    [2, 8, 7, 1, 3, 5, 6, 4],
+    [1, 0, 1, 0, 0, 0, 1, 0],
+    1, 2
+))
+
+print(create_array_table(
+    [2, 1, 7, 8, 3, 5, 6, 4],
+    [0, 1, 0, 1, 0, 0, 1, 0],
+    2, 2
+))
+
+print(create_array_table(
+    [2, 1, 3, 8, 7, 5, 6, 4],
+    [0, 0, 1, 0, 1, 0, 1, 0],
+    3, 2
+))
+
+print(create_array_table(
+    [2, 1, 3, 8, 7, 5, 6, 4],
+    [0, 0, 1, 0, 0, 1, 1, 0],
+    3, 3
+))
+
+print(create_array_table(
+    [2, 1, 3, 8, 7, 5, 6, 4],
+    [0, 0, 1, 0, 0, 0, 1, 0],
+    3, 4
+))
+
+print(create_array_table(
+    [2, 1, 3, 4, 8, 7, 5, 6],
+    [0, 0, 1, 1, 0, 0, 0, 1],
+    0, 0
+))
+
+```
+
+## Problem 2
+
+Answer questions about the following function `SELECT(A, p, r, i)` where $r-p + 1 = n$
+
+```py
+SELECT(A, p, r, i)
+    if p == r
+        return A[p]
+    q = PARTITION(A, p, r)
+    k = q - p + 1
+    if i == k
+        return A[q]
+    else if i < k
+        return SELECT(A, p, q - 1, i)
+    else
+        return SELECT(A, q + 1, r, i - k)
+```
+
+* What does it do?
+* What is the worst-case running time?
+* What is the best-case running time?
+
+
+### Solution 2-a
+
+`SELECT` selects `i`-th smallest element in the array `A`.
+
+### Solution 2-b
+
+The worst-case occurs when the `PARTITION` partitiend the array unbalanced.
+
+So, time-complexity of the case is:
+
+$$T(n) = T(n-1) + O(n)$$
+
+$$\therefore T(n) = O(n^2)$$
+
+### Solution 2-c
+
+The best-case occurs when the `PARTITION` partitiend the array balanced, which means pivot is median.
+
+So, time-complexity of the case is:
+
+$$T(n) = T(n/2) + O(n)$$
+
+$$\therefore T(n) = O(n)$$

reviews/__pyfunc__/r6.py

@@ -0,0 +1,54 @@
+from bs4 import BeautifulSoup
+
+def create_array_table(data: list, border: list, cnt_p1: int, cnt_p2: int) -> str:
+    STYLE_ARRAY_TABLE = "border-collapse: collapse;"
+    STYLE_TD_TEMPLATE = "border: 1px solid black; width: 1.2em; height: 1.6rem; text-align: center; font-size: 1.3rem;"
+
+    def style_with_rborder(style: str):
+        style += "border-right: 6px solid black;"
+        return style
+    
+    def style_with_p1(style: str):
+        style += "background-color: lightgray;"
+        return style
+    def style_with_p2(style: str):
+        style += "background-color: gray;"
+        return style 
+    
+    if len(data) != len(border):
+        return ""
+    
+    soup = BeautifulSoup("", "html.parser")
+    table = soup.new_tag('table', attrs={'style': STYLE_ARRAY_TABLE})
+    tr = soup.new_tag('tr')
+
+    for i in range(len(data)):
+        style = STYLE_TD_TEMPLATE
+        if i < cnt_p1:
+            style = style_with_p1(style)
+            if border[i]:
+                style = style_with_rborder(style)
+        elif cnt_p1 <= i < cnt_p1 + cnt_p2:
+            style = style_with_p2(style)
+            if border[i]:
+                style = style_with_rborder(style)
+        else:
+            if border[i]:
+                style = style_with_rborder(style)
+        td = soup.new_tag('td', attrs={'style': style})
+        td.string = str(data[i])
+
+        tr.append(td)
+
+    table.append(tr)
+    soup.append(table)
+
+    return str(soup)
+
+    
+    
+    
+
+    
+
+